| distributed init (rank 0): env://, gpu 0 | distributed init (rank 1): env://, gpu 1 [02:42:42.229044] job dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3 [02:42:42.229277] Namespace(accum_iter=8, apply_simple_augment=False, batch_size=256, blr=0.00015, cl_loss='SimSiam', cl_sample='all', data_path=['/mnt/localDisk2/wgj/FSFM_C3/datasets/pretrain_datasets/FaceForensics_youtube/all_frames/c23/'], device='cuda', dist_backend='nccl', dist_on_itp=False, dist_url='env://', distributed=True, epochs=800, gpu=0, input_size=224, local_rank=0, log_dir=PosixPath('/mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616'), lr=None, mask_ratio=0.75, min_lr=0.0, model='fsfm_vit_base_patch16', norm_pix_loss=True, normalize_from_IMN=False, num_workers=10, output_dir=PosixPath('/mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616'), patch_size=16, pin_mem=True, rank=0, resume='', resume_target_encoder='', seed=0, start_epoch=0, t_momentum=0.996, warmup_epochs=40, weight_cl=0.1, weight_decay=0.05, weight_sfr=0.007, world_size=2) [02:42:44.771294] Sampler_train = [02:42:44.771453] [INFO]log dir: %/mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [02:42:48.612416] _IncompatibleKeys(missing_keys=[], unexpected_keys=['decoder_pos_embed', 'predictor.projection_head.0.weight', 'predictor.projection_head.0.bias', 'predictor.projection_head.1.weight', 'predictor.projection_head.1.bias', 'predictor.projection_head.3.weight', 'predictor.projection_head.3.bias', 'decoder_embed.weight', 'decoder_embed.bias', 'decoder_blocks.0.norm1.weight', 'decoder_blocks.0.norm1.bias', 'decoder_blocks.0.attn.qkv.weight', 'decoder_blocks.0.attn.qkv.bias', 'decoder_blocks.0.attn.proj.weight', 'decoder_blocks.0.attn.proj.bias', 'decoder_blocks.0.norm2.weight', 'decoder_blocks.0.norm2.bias', 'decoder_blocks.0.mlp.fc1.weight', 'decoder_blocks.0.mlp.fc1.bias', 'decoder_blocks.0.mlp.fc2.weight', 'decoder_blocks.0.mlp.fc2.bias', 'decoder_blocks.1.norm1.weight', 'decoder_blocks.1.norm1.bias', 'decoder_blocks.1.attn.qkv.weight', 'decoder_blocks.1.attn.qkv.bias', 'decoder_blocks.1.attn.proj.weight', 'decoder_blocks.1.attn.proj.bias', 'decoder_blocks.1.norm2.weight', 'decoder_blocks.1.norm2.bias', 'decoder_blocks.1.mlp.fc1.weight', 'decoder_blocks.1.mlp.fc1.bias', 'decoder_blocks.1.mlp.fc2.weight', 'decoder_blocks.1.mlp.fc2.bias', 'decoder_blocks.2.norm1.weight', 'decoder_blocks.2.norm1.bias', 'decoder_blocks.2.attn.qkv.weight', 'decoder_blocks.2.attn.qkv.bias', 'decoder_blocks.2.attn.proj.weight', 'decoder_blocks.2.attn.proj.bias', 'decoder_blocks.2.norm2.weight', 'decoder_blocks.2.norm2.bias', 'decoder_blocks.2.mlp.fc1.weight', 'decoder_blocks.2.mlp.fc1.bias', 'decoder_blocks.2.mlp.fc2.weight', 'decoder_blocks.2.mlp.fc2.bias', 'decoder_blocks.3.norm1.weight', 'decoder_blocks.3.norm1.bias', 'decoder_blocks.3.attn.qkv.weight', 'decoder_blocks.3.attn.qkv.bias', 'decoder_blocks.3.attn.proj.weight', 'decoder_blocks.3.attn.proj.bias', 'decoder_blocks.3.norm2.weight', 'decoder_blocks.3.norm2.bias', 'decoder_blocks.3.mlp.fc1.weight', 'decoder_blocks.3.mlp.fc1.bias', 'decoder_blocks.3.mlp.fc2.weight', 'decoder_blocks.3.mlp.fc2.bias', 'decoder_blocks.4.norm1.weight', 'decoder_blocks.4.norm1.bias', 'decoder_blocks.4.attn.qkv.weight', 'decoder_blocks.4.attn.qkv.bias', 'decoder_blocks.4.attn.proj.weight', 'decoder_blocks.4.attn.proj.bias', 'decoder_blocks.4.norm2.weight', 'decoder_blocks.4.norm2.bias', 'decoder_blocks.4.mlp.fc1.weight', 'decoder_blocks.4.mlp.fc1.bias', 'decoder_blocks.4.mlp.fc2.weight', 'decoder_blocks.4.mlp.fc2.bias', 'decoder_blocks.5.norm1.weight', 'decoder_blocks.5.norm1.bias', 'decoder_blocks.5.attn.qkv.weight', 'decoder_blocks.5.attn.qkv.bias', 'decoder_blocks.5.attn.proj.weight', 'decoder_blocks.5.attn.proj.bias', 'decoder_blocks.5.norm2.weight', 'decoder_blocks.5.norm2.bias', 'decoder_blocks.5.mlp.fc1.weight', 'decoder_blocks.5.mlp.fc1.bias', 'decoder_blocks.5.mlp.fc2.weight', 'decoder_blocks.5.mlp.fc2.bias', 'decoder_blocks.6.norm1.weight', 'decoder_blocks.6.norm1.bias', 'decoder_blocks.6.attn.qkv.weight', 'decoder_blocks.6.attn.qkv.bias', 'decoder_blocks.6.attn.proj.weight', 'decoder_blocks.6.attn.proj.bias', 'decoder_blocks.6.norm2.weight', 'decoder_blocks.6.norm2.bias', 'decoder_blocks.6.mlp.fc1.weight', 'decoder_blocks.6.mlp.fc1.bias', 'decoder_blocks.6.mlp.fc2.weight', 'decoder_blocks.6.mlp.fc2.bias', 'decoder_blocks.7.norm1.weight', 'decoder_blocks.7.norm1.bias', 'decoder_blocks.7.attn.qkv.weight', 'decoder_blocks.7.attn.qkv.bias', 'decoder_blocks.7.attn.proj.weight', 'decoder_blocks.7.attn.proj.bias', 'decoder_blocks.7.norm2.weight', 'decoder_blocks.7.norm2.bias', 'decoder_blocks.7.mlp.fc1.weight', 'decoder_blocks.7.mlp.fc1.bias', 'decoder_blocks.7.mlp.fc2.weight', 'decoder_blocks.7.mlp.fc2.bias', 'decoder_norm.weight', 'decoder_norm.bias', 'decoder_pred.weight', 'decoder_pred.bias']) [02:42:49.833798] ========================================================================================== Layer (type:depth-idx) Output Shape Param # ========================================================================================== ├─PatchEmbed: 1-1 [-1, 196, 768] -- | └─Conv2d: 2-1 [-1, 768, 14, 14] 590,592 ├─ModuleList: 1 [] -- | └─Block: 2-2 [-1, 50, 768] -- | | └─LayerNorm: 3-1 [-1, 50, 768] 1,536 | | └─Attention: 3-2 [-1, 50, 768] 2,362,368 | | └─Identity: 3-3 [-1, 50, 768] -- | | └─LayerNorm: 3-4 [-1, 50, 768] 1,536 | | └─Mlp: 3-5 [-1, 50, 768] 4,722,432 | | └─Identity: 3-6 [-1, 50, 768] -- | └─Block: 2-3 [-1, 50, 768] -- | | └─LayerNorm: 3-7 [-1, 50, 768] 1,536 | | └─Attention: 3-8 [-1, 50, 768] 2,362,368 | | └─Identity: 3-9 [-1, 50, 768] -- | | └─LayerNorm: 3-10 [-1, 50, 768] 1,536 | | └─Mlp: 3-11 [-1, 50, 768] 4,722,432 | | └─Identity: 3-12 [-1, 50, 768] -- | └─Block: 2-4 [-1, 50, 768] -- | | └─LayerNorm: 3-13 [-1, 50, 768] 1,536 | | └─Attention: 3-14 [-1, 50, 768] 2,362,368 | | └─Identity: 3-15 [-1, 50, 768] -- | | └─LayerNorm: 3-16 [-1, 50, 768] 1,536 | | └─Mlp: 3-17 [-1, 50, 768] 4,722,432 | | └─Identity: 3-18 [-1, 50, 768] -- | └─Block: 2-5 [-1, 50, 768] -- | | └─LayerNorm: 3-19 [-1, 50, 768] 1,536 | | └─Attention: 3-20 [-1, 50, 768] 2,362,368 | | └─Identity: 3-21 [-1, 50, 768] -- | | └─LayerNorm: 3-22 [-1, 50, 768] 1,536 | | └─Mlp: 3-23 [-1, 50, 768] 4,722,432 | | └─Identity: 3-24 [-1, 50, 768] -- | └─Block: 2-6 [-1, 50, 768] -- | | └─LayerNorm: 3-25 [-1, 50, 768] 1,536 | | └─Attention: 3-26 [-1, 50, 768] 2,362,368 | | └─Identity: 3-27 [-1, 50, 768] -- | | └─LayerNorm: 3-28 [-1, 50, 768] 1,536 | | └─Mlp: 3-29 [-1, 50, 768] 4,722,432 | | └─Identity: 3-30 [-1, 50, 768] -- | └─Block: 2-7 [-1, 50, 768] -- | | └─LayerNorm: 3-31 [-1, 50, 768] 1,536 | | └─Attention: 3-32 [-1, 50, 768] 2,362,368 | | └─Identity: 3-33 [-1, 50, 768] -- | | └─LayerNorm: 3-34 [-1, 50, 768] 1,536 | | └─Mlp: 3-35 [-1, 50, 768] 4,722,432 | | └─Identity: 3-36 [-1, 50, 768] -- | └─Block: 2-8 [-1, 50, 768] -- | | └─LayerNorm: 3-37 [-1, 50, 768] 1,536 | | └─Attention: 3-38 [-1, 50, 768] 2,362,368 | | └─Identity: 3-39 [-1, 50, 768] -- | | └─LayerNorm: 3-40 [-1, 50, 768] 1,536 | | └─Mlp: 3-41 [-1, 50, 768] 4,722,432 | | └─Identity: 3-42 [-1, 50, 768] -- | └─Block: 2-9 [-1, 50, 768] -- | | └─LayerNorm: 3-43 [-1, 50, 768] 1,536 | | └─Attention: 3-44 [-1, 50, 768] 2,362,368 | | └─Identity: 3-45 [-1, 50, 768] -- | | └─LayerNorm: 3-46 [-1, 50, 768] 1,536 | | └─Mlp: 3-47 [-1, 50, 768] 4,722,432 | | └─Identity: 3-48 [-1, 50, 768] -- | └─Block: 2-10 [-1, 50, 768] -- | | └─LayerNorm: 3-49 [-1, 50, 768] 1,536 | | └─Attention: 3-50 [-1, 50, 768] 2,362,368 | | └─Identity: 3-51 [-1, 50, 768] -- | | └─LayerNorm: 3-52 [-1, 50, 768] 1,536 | | └─Mlp: 3-53 [-1, 50, 768] 4,722,432 | | └─Identity: 3-54 [-1, 50, 768] -- | └─Block: 2-11 [-1, 50, 768] -- | | └─LayerNorm: 3-55 [-1, 50, 768] 1,536 | | └─Attention: 3-56 [-1, 50, 768] 2,362,368 | | └─Identity: 3-57 [-1, 50, 768] -- | | └─LayerNorm: 3-58 [-1, 50, 768] 1,536 | | └─Mlp: 3-59 [-1, 50, 768] 4,722,432 | | └─Identity: 3-60 [-1, 50, 768] -- | └─Block: 2-12 [-1, 50, 768] -- | | └─LayerNorm: 3-61 [-1, 50, 768] 1,536 | | └─Attention: 3-62 [-1, 50, 768] 2,362,368 | | └─Identity: 3-63 [-1, 50, 768] -- | | └─LayerNorm: 3-64 [-1, 50, 768] 1,536 | | └─Mlp: 3-65 [-1, 50, 768] 4,722,432 | | └─Identity: 3-66 [-1, 50, 768] -- | └─Block: 2-13 [-1, 50, 768] -- | | └─LayerNorm: 3-67 [-1, 50, 768] 1,536 | | └─Attention: 3-68 [-1, 50, 768] 2,362,368 | | └─Identity: 3-69 [-1, 50, 768] -- | | └─LayerNorm: 3-70 [-1, 50, 768] 1,536 | | └─Mlp: 3-71 [-1, 50, 768] 4,722,432 | | └─Identity: 3-72 [-1, 50, 768] -- ├─LayerNorm: 1-2 [-1, 50, 768] 1,536 ├─Linear: 1-3 [-1, 50, 768] 590,592 ├─ModuleList: 1 [] -- | └─Block: 2-14 [-1, 197, 768] -- | | └─LayerNorm: 3-73 [-1, 197, 768] 1,536 | | └─Attention: 3-74 [-1, 197, 768] 2,362,368 | | └─Identity: 3-75 [-1, 197, 768] -- | | └─LayerNorm: 3-76 [-1, 197, 768] 1,536 | | └─Mlp: 3-77 [-1, 197, 768] 4,722,432 | | └─Identity: 3-78 [-1, 197, 768] -- | └─Block: 2-15 [-1, 197, 768] -- | | └─LayerNorm: 3-79 [-1, 197, 768] 1,536 | | └─Attention: 3-80 [-1, 197, 768] 2,362,368 | | └─Identity: 3-81 [-1, 197, 768] -- | | └─LayerNorm: 3-82 [-1, 197, 768] 1,536 | | └─Mlp: 3-83 [-1, 197, 768] 4,722,432 | | └─Identity: 3-84 [-1, 197, 768] -- ├─LayerNorm: 1-4 [-1, 197, 768] 1,536 ├─Linear: 1-5 [-1, 197, 768] 590,592 ├─BYOLMLP: 1-6 [-1, 256] -- | └─Sequential: 2-16 [-1, 256] -- | | └─Linear: 3-85 [-1, 4096] 3,149,824 | | └─LayerNorm: 3-86 [-1, 4096] 8,192 | | └─ReLU: 3-87 [-1, 4096] -- | | └─Linear: 3-88 [-1, 256] 1,048,832 ├─BYOLMLP: 1-7 [-1, 256] -- | └─Sequential: 2-17 [-1, 256] -- | | └─Linear: 3-89 [-1, 4096] 1,052,672 | | └─LayerNorm: 3-90 [-1, 4096] 8,192 | | └─ReLU: 3-91 [-1, 4096] -- | | └─Linear: 3-92 [-1, 256] 1,048,832 ├─Linear: 1-8 [-1, 197, 512] 393,728 ├─ModuleList: 1 [] -- | └─Block: 2-18 [-1, 197, 512] -- | | └─LayerNorm: 3-93 [-1, 197, 512] 1,024 | | └─Attention: 3-94 [-1, 197, 512] 1,050,624 | | └─Identity: 3-95 [-1, 197, 512] -- | | └─LayerNorm: 3-96 [-1, 197, 512] 1,024 | | └─Mlp: 3-97 [-1, 197, 512] 2,099,712 | | └─Identity: 3-98 [-1, 197, 512] -- | └─Block: 2-19 [-1, 197, 512] -- | | └─LayerNorm: 3-99 [-1, 197, 512] 1,024 | | └─Attention: 3-100 [-1, 197, 512] 1,050,624 | | └─Identity: 3-101 [-1, 197, 512] -- | | └─LayerNorm: 3-102 [-1, 197, 512] 1,024 | | └─Mlp: 3-103 [-1, 197, 512] 2,099,712 | | └─Identity: 3-104 [-1, 197, 512] -- | └─Block: 2-20 [-1, 197, 512] -- | | └─LayerNorm: 3-105 [-1, 197, 512] 1,024 | | └─Attention: 3-106 [-1, 197, 512] 1,050,624 | | └─Identity: 3-107 [-1, 197, 512] -- | | └─LayerNorm: 3-108 [-1, 197, 512] 1,024 | | └─Mlp: 3-109 [-1, 197, 512] 2,099,712 | | └─Identity: 3-110 [-1, 197, 512] -- | └─Block: 2-21 [-1, 197, 512] -- | | └─LayerNorm: 3-111 [-1, 197, 512] 1,024 | | └─Attention: 3-112 [-1, 197, 512] 1,050,624 | | └─Identity: 3-113 [-1, 197, 512] -- | | └─LayerNorm: 3-114 [-1, 197, 512] 1,024 | | └─Mlp: 3-115 [-1, 197, 512] 2,099,712 | | └─Identity: 3-116 [-1, 197, 512] -- | └─Block: 2-22 [-1, 197, 512] -- | | └─LayerNorm: 3-117 [-1, 197, 512] 1,024 | | └─Attention: 3-118 [-1, 197, 512] 1,050,624 | | └─Identity: 3-119 [-1, 197, 512] -- | | └─LayerNorm: 3-120 [-1, 197, 512] 1,024 | | └─Mlp: 3-121 [-1, 197, 512] 2,099,712 | | └─Identity: 3-122 [-1, 197, 512] -- | └─Block: 2-23 [-1, 197, 512] -- | | └─LayerNorm: 3-123 [-1, 197, 512] 1,024 | | └─Attention: 3-124 [-1, 197, 512] 1,050,624 | | └─Identity: 3-125 [-1, 197, 512] -- | | └─LayerNorm: 3-126 [-1, 197, 512] 1,024 | | └─Mlp: 3-127 [-1, 197, 512] 2,099,712 | | └─Identity: 3-128 [-1, 197, 512] -- | └─Block: 2-24 [-1, 197, 512] -- | | └─LayerNorm: 3-129 [-1, 197, 512] 1,024 | | └─Attention: 3-130 [-1, 197, 512] 1,050,624 | | └─Identity: 3-131 [-1, 197, 512] -- | | └─LayerNorm: 3-132 [-1, 197, 512] 1,024 | | └─Mlp: 3-133 [-1, 197, 512] 2,099,712 | | └─Identity: 3-134 [-1, 197, 512] -- | └─Block: 2-25 [-1, 197, 512] -- | | └─LayerNorm: 3-135 [-1, 197, 512] 1,024 | | └─Attention: 3-136 [-1, 197, 512] 1,050,624 | | └─Identity: 3-137 [-1, 197, 512] -- | | └─LayerNorm: 3-138 [-1, 197, 512] 1,024 | | └─Mlp: 3-139 [-1, 197, 512] 2,099,712 | | └─Identity: 3-140 [-1, 197, 512] -- ├─LayerNorm: 1-9 [-1, 197, 512] 1,024 ├─Linear: 1-10 [-1, 197, 768] 393,984 ========================================================================================== Total params: 133,329,408 Trainable params: 133,329,408 Non-trainable params: 0 Total mult-adds (M): 509.89 ========================================================================================== Input size (MB): 0.58 Forward/backward pass size (MB): 138.65 Params size (MB): 508.61 Estimated Total Size (MB): 647.84 ========================================================================================== [02:42:49.836622] ========================================================================================== Layer (type:depth-idx) Output Shape Param # ========================================================================================== ├─PatchEmbed: 1-1 [-1, 196, 768] -- | └─Conv2d: 2-1 [-1, 768, 14, 14] 590,592 ├─ModuleList: 1 [] -- | └─Block: 2-2 [-1, 50, 768] -- | | └─LayerNorm: 3-1 [-1, 50, 768] 1,536 | | └─Attention: 3-2 [-1, 50, 768] 2,362,368 | | └─Identity: 3-3 [-1, 50, 768] -- | | └─LayerNorm: 3-4 [-1, 50, 768] 1,536 | | └─Mlp: 3-5 [-1, 50, 768] 4,722,432 | | └─Identity: 3-6 [-1, 50, 768] -- | └─Block: 2-3 [-1, 50, 768] -- | | └─LayerNorm: 3-7 [-1, 50, 768] 1,536 | | └─Attention: 3-8 [-1, 50, 768] 2,362,368 | | └─Identity: 3-9 [-1, 50, 768] -- | | └─LayerNorm: 3-10 [-1, 50, 768] 1,536 | | └─Mlp: 3-11 [-1, 50, 768] 4,722,432 | | └─Identity: 3-12 [-1, 50, 768] -- | └─Block: 2-4 [-1, 50, 768] -- | | └─LayerNorm: 3-13 [-1, 50, 768] 1,536 | | └─Attention: 3-14 [-1, 50, 768] 2,362,368 | | └─Identity: 3-15 [-1, 50, 768] -- | | └─LayerNorm: 3-16 [-1, 50, 768] 1,536 | | └─Mlp: 3-17 [-1, 50, 768] 4,722,432 | | └─Identity: 3-18 [-1, 50, 768] -- | └─Block: 2-5 [-1, 50, 768] -- | | └─LayerNorm: 3-19 [-1, 50, 768] 1,536 | | └─Attention: 3-20 [-1, 50, 768] 2,362,368 | | └─Identity: 3-21 [-1, 50, 768] -- | | └─LayerNorm: 3-22 [-1, 50, 768] 1,536 | | └─Mlp: 3-23 [-1, 50, 768] 4,722,432 | | └─Identity: 3-24 [-1, 50, 768] -- | └─Block: 2-6 [-1, 50, 768] -- | | └─LayerNorm: 3-25 [-1, 50, 768] 1,536 | | └─Attention: 3-26 [-1, 50, 768] 2,362,368 | | └─Identity: 3-27 [-1, 50, 768] -- | | └─LayerNorm: 3-28 [-1, 50, 768] 1,536 | | └─Mlp: 3-29 [-1, 50, 768] 4,722,432 | | └─Identity: 3-30 [-1, 50, 768] -- | └─Block: 2-7 [-1, 50, 768] -- | | └─LayerNorm: 3-31 [-1, 50, 768] 1,536 | | └─Attention: 3-32 [-1, 50, 768] 2,362,368 | | └─Identity: 3-33 [-1, 50, 768] -- | | └─LayerNorm: 3-34 [-1, 50, 768] 1,536 | | └─Mlp: 3-35 [-1, 50, 768] 4,722,432 | | └─Identity: 3-36 [-1, 50, 768] -- | └─Block: 2-8 [-1, 50, 768] -- | | └─LayerNorm: 3-37 [-1, 50, 768] 1,536 | | └─Attention: 3-38 [-1, 50, 768] 2,362,368 | | └─Identity: 3-39 [-1, 50, 768] -- | | └─LayerNorm: 3-40 [-1, 50, 768] 1,536 | | └─Mlp: 3-41 [-1, 50, 768] 4,722,432 | | └─Identity: 3-42 [-1, 50, 768] -- | └─Block: 2-9 [-1, 50, 768] -- | | └─LayerNorm: 3-43 [-1, 50, 768] 1,536 | | └─Attention: 3-44 [-1, 50, 768] 2,362,368 | | └─Identity: 3-45 [-1, 50, 768] -- | | └─LayerNorm: 3-46 [-1, 50, 768] 1,536 | | └─Mlp: 3-47 [-1, 50, 768] 4,722,432 | | └─Identity: 3-48 [-1, 50, 768] -- | └─Block: 2-10 [-1, 50, 768] -- | | └─LayerNorm: 3-49 [-1, 50, 768] 1,536 | | └─Attention: 3-50 [-1, 50, 768] 2,362,368 | | └─Identity: 3-51 [-1, 50, 768] -- | | └─LayerNorm: 3-52 [-1, 50, 768] 1,536 | | └─Mlp: 3-53 [-1, 50, 768] 4,722,432 | | └─Identity: 3-54 [-1, 50, 768] -- | └─Block: 2-11 [-1, 50, 768] -- | | └─LayerNorm: 3-55 [-1, 50, 768] 1,536 | | └─Attention: 3-56 [-1, 50, 768] 2,362,368 | | └─Identity: 3-57 [-1, 50, 768] -- | | └─LayerNorm: 3-58 [-1, 50, 768] 1,536 | | └─Mlp: 3-59 [-1, 50, 768] 4,722,432 | | └─Identity: 3-60 [-1, 50, 768] -- | └─Block: 2-12 [-1, 50, 768] -- | | └─LayerNorm: 3-61 [-1, 50, 768] 1,536 | | └─Attention: 3-62 [-1, 50, 768] 2,362,368 | | └─Identity: 3-63 [-1, 50, 768] -- | | └─LayerNorm: 3-64 [-1, 50, 768] 1,536 | | └─Mlp: 3-65 [-1, 50, 768] 4,722,432 | | └─Identity: 3-66 [-1, 50, 768] -- | └─Block: 2-13 [-1, 50, 768] -- | | └─LayerNorm: 3-67 [-1, 50, 768] 1,536 | | └─Attention: 3-68 [-1, 50, 768] 2,362,368 | | └─Identity: 3-69 [-1, 50, 768] -- | | └─LayerNorm: 3-70 [-1, 50, 768] 1,536 | | └─Mlp: 3-71 [-1, 50, 768] 4,722,432 | | └─Identity: 3-72 [-1, 50, 768] -- ├─LayerNorm: 1-2 [-1, 50, 768] 1,536 ├─Linear: 1-3 [-1, 50, 768] 590,592 ├─ModuleList: 1 [] -- | └─Block: 2-14 [-1, 197, 768] -- | | └─LayerNorm: 3-73 [-1, 197, 768] 1,536 | | └─Attention: 3-74 [-1, 197, 768] 2,362,368 | | └─Identity: 3-75 [-1, 197, 768] -- | | └─LayerNorm: 3-76 [-1, 197, 768] 1,536 | | └─Mlp: 3-77 [-1, 197, 768] 4,722,432 | | └─Identity: 3-78 [-1, 197, 768] -- | └─Block: 2-15 [-1, 197, 768] -- | | └─LayerNorm: 3-79 [-1, 197, 768] 1,536 | | └─Attention: 3-80 [-1, 197, 768] 2,362,368 | | └─Identity: 3-81 [-1, 197, 768] -- | | └─LayerNorm: 3-82 [-1, 197, 768] 1,536 | | └─Mlp: 3-83 [-1, 197, 768] 4,722,432 | | └─Identity: 3-84 [-1, 197, 768] -- ├─LayerNorm: 1-4 [-1, 197, 768] 1,536 ├─Linear: 1-5 [-1, 197, 768] 590,592 ├─BYOLMLP: 1-6 [-1, 256] -- | └─Sequential: 2-16 [-1, 256] -- | | └─Linear: 3-85 [-1, 4096] 3,149,824 | | └─LayerNorm: 3-86 [-1, 4096] 8,192 | | └─ReLU: 3-87 [-1, 4096] -- | | └─Linear: 3-88 [-1, 256] 1,048,832 ├─BYOLMLP: 1-7 [-1, 256] -- | └─Sequential: 2-17 [-1, 256] -- | | └─Linear: 3-89 [-1, 4096] 1,052,672 | | └─LayerNorm: 3-90 [-1, 4096] 8,192 | | └─ReLU: 3-91 [-1, 4096] -- | | └─Linear: 3-92 [-1, 256] 1,048,832 ├─Linear: 1-8 [-1, 197, 512] 393,728 ├─ModuleList: 1 [] -- | └─Block: 2-18 [-1, 197, 512] -- | | └─LayerNorm: 3-93 [-1, 197, 512] 1,024 | | └─Attention: 3-94 [-1, 197, 512] 1,050,624 | | └─Identity: 3-95 [-1, 197, 512] -- | | └─LayerNorm: 3-96 [-1, 197, 512] 1,024 | | └─Mlp: 3-97 [-1, 197, 512] 2,099,712 | | └─Identity: 3-98 [-1, 197, 512] -- | └─Block: 2-19 [-1, 197, 512] -- | | └─LayerNorm: 3-99 [-1, 197, 512] 1,024 | | └─Attention: 3-100 [-1, 197, 512] 1,050,624 | | └─Identity: 3-101 [-1, 197, 512] -- | | └─LayerNorm: 3-102 [-1, 197, 512] 1,024 | | └─Mlp: 3-103 [-1, 197, 512] 2,099,712 | | └─Identity: 3-104 [-1, 197, 512] -- | └─Block: 2-20 [-1, 197, 512] -- | | └─LayerNorm: 3-105 [-1, 197, 512] 1,024 | | └─Attention: 3-106 [-1, 197, 512] 1,050,624 | | └─Identity: 3-107 [-1, 197, 512] -- | | └─LayerNorm: 3-108 [-1, 197, 512] 1,024 | | └─Mlp: 3-109 [-1, 197, 512] 2,099,712 | | └─Identity: 3-110 [-1, 197, 512] -- | └─Block: 2-21 [-1, 197, 512] -- | | └─LayerNorm: 3-111 [-1, 197, 512] 1,024 | | └─Attention: 3-112 [-1, 197, 512] 1,050,624 | | └─Identity: 3-113 [-1, 197, 512] -- | | └─LayerNorm: 3-114 [-1, 197, 512] 1,024 | | └─Mlp: 3-115 [-1, 197, 512] 2,099,712 | | └─Identity: 3-116 [-1, 197, 512] -- | └─Block: 2-22 [-1, 197, 512] -- | | └─LayerNorm: 3-117 [-1, 197, 512] 1,024 | | └─Attention: 3-118 [-1, 197, 512] 1,050,624 | | └─Identity: 3-119 [-1, 197, 512] -- | | └─LayerNorm: 3-120 [-1, 197, 512] 1,024 | | └─Mlp: 3-121 [-1, 197, 512] 2,099,712 | | └─Identity: 3-122 [-1, 197, 512] -- | └─Block: 2-23 [-1, 197, 512] -- | | └─LayerNorm: 3-123 [-1, 197, 512] 1,024 | | └─Attention: 3-124 [-1, 197, 512] 1,050,624 | | └─Identity: 3-125 [-1, 197, 512] -- | | └─LayerNorm: 3-126 [-1, 197, 512] 1,024 | | └─Mlp: 3-127 [-1, 197, 512] 2,099,712 | | └─Identity: 3-128 [-1, 197, 512] -- | └─Block: 2-24 [-1, 197, 512] -- | | └─LayerNorm: 3-129 [-1, 197, 512] 1,024 | | └─Attention: 3-130 [-1, 197, 512] 1,050,624 | | └─Identity: 3-131 [-1, 197, 512] -- | | └─LayerNorm: 3-132 [-1, 197, 512] 1,024 | | └─Mlp: 3-133 [-1, 197, 512] 2,099,712 | | └─Identity: 3-134 [-1, 197, 512] -- | └─Block: 2-25 [-1, 197, 512] -- | | └─LayerNorm: 3-135 [-1, 197, 512] 1,024 | | └─Attention: 3-136 [-1, 197, 512] 1,050,624 | | └─Identity: 3-137 [-1, 197, 512] -- | | └─LayerNorm: 3-138 [-1, 197, 512] 1,024 | | └─Mlp: 3-139 [-1, 197, 512] 2,099,712 | | └─Identity: 3-140 [-1, 197, 512] -- ├─LayerNorm: 1-9 [-1, 197, 512] 1,024 ├─Linear: 1-10 [-1, 197, 768] 393,984 ========================================================================================== Total params: 133,329,408 Trainable params: 133,329,408 Non-trainable params: 0 Total mult-adds (M): 509.89 ========================================================================================== Input size (MB): 0.58 Forward/backward pass size (MB): 138.65 Params size (MB): 508.61 Estimated Total Size (MB): 647.84 ========================================================================================== [02:42:49.840011] Model = FSFMViT( (patch_embed): PatchEmbed( (proj): Conv2d(3, 768, kernel_size=(16, 16), stride=(16, 16)) ) (blocks): ModuleList( (0): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (1): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (2): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (3): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (4): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (5): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (6): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (7): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (8): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (9): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (10): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (11): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) ) (norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (projector): BYOLMLP( (projection_head): Sequential( (0): Linear(in_features=768, out_features=4096, bias=True) (1): LayerNorm((4096,), eps=1e-05, elementwise_affine=True) (2): ReLU(inplace=True) (3): Linear(in_features=4096, out_features=256, bias=True) ) ) (predictor): BYOLMLP( (projection_head): Sequential( (0): Linear(in_features=256, out_features=4096, bias=True) (1): LayerNorm((4096,), eps=1e-05, elementwise_affine=True) (2): ReLU(inplace=True) (3): Linear(in_features=4096, out_features=256, bias=True) ) ) (rep_decoder_embed): Linear(in_features=768, out_features=768, bias=True) (rep_decoder_blocks): ModuleList( (0): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (1): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) ) (rep_decoder_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (rep_decoder_pred): Linear(in_features=768, out_features=768, bias=True) (decoder_embed): Linear(in_features=768, out_features=512, bias=True) (decoder_blocks): ModuleList( (0): Block( (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=512, out_features=1536, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=512, out_features=512, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=2048, out_features=512, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (1): Block( (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=512, out_features=1536, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=512, out_features=512, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=2048, out_features=512, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (2): Block( (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=512, out_features=1536, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=512, out_features=512, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=2048, out_features=512, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (3): Block( (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=512, out_features=1536, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=512, out_features=512, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=2048, out_features=512, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (4): Block( (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=512, out_features=1536, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=512, out_features=512, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=2048, out_features=512, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (5): Block( (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=512, out_features=1536, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=512, out_features=512, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=2048, out_features=512, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (6): Block( (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=512, out_features=1536, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=512, out_features=512, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=2048, out_features=512, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (7): Block( (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=512, out_features=1536, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=512, out_features=512, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=2048, out_features=512, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) ) (decoder_norm): LayerNorm((512,), eps=1e-06, elementwise_affine=True) (decoder_pred): Linear(in_features=512, out_features=768, bias=True) ) [02:42:49.840910] Model_target_encoder = TargetEncoderViT( (patch_embed): PatchEmbed( (proj): Conv2d(3, 768, kernel_size=(16, 16), stride=(16, 16)) ) (blocks): ModuleList( (0): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (1): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (2): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (3): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (4): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (5): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (6): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (7): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (8): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (9): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (10): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (11): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) ) (norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (projector): BYOLMLP( (projection_head): Sequential( (0): Linear(in_features=768, out_features=4096, bias=True) (1): LayerNorm((4096,), eps=1e-05, elementwise_affine=True) (2): ReLU(inplace=True) (3): Linear(in_features=4096, out_features=256, bias=True) ) ) (rep_decoder_embed): Linear(in_features=768, out_features=768, bias=True) (rep_decoder_blocks): ModuleList( (0): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (1): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) ) (rep_decoder_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (rep_decoder_pred): Linear(in_features=768, out_features=768, bias=True) ) [02:42:49.840954] base lr: 1.50e-04 [02:42:49.840964] actual lr: 2.40e-03 [02:42:49.840972] Number of training steps = 850 [02:42:49.840980] accumulate grad iterations: 8 [02:42:49.840987] effective batch size: 4096 [02:42:49.882973] AdamW ( Parameter Group 0 amsgrad: False betas: (0.9, 0.95) capturable: False eps: 1e-08 foreach: None lr: 0.0024 maximize: False weight_decay: 0.0 Parameter Group 1 amsgrad: False betas: (0.9, 0.95) capturable: False eps: 1e-08 foreach: None lr: 0.0024 maximize: False weight_decay: 0.05 ) [02:42:49.883118] Start training for 800 epochs [02:42:49.883205] Set warmup steps = 0 [02:42:51.746208] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [02:43:31.001241] Epoch: [0] [ 0/850] eta: 9:16:05 lr: 0.000000 loss: 1.8531 (1.8531) loss_rec_all: 1.8438 (1.8438) loss_rec_sfr: 1.8407 (1.8407) loss_cl: -0.0354 (-0.0354) time: 39.2541 data: 37.2711 max mem: 28365 [02:44:13.510888] Epoch: [0] [ 20/850] eta: 0:53:51 lr: 0.000001 loss: 1.8521 (1.8515) loss_rec_all: 1.8427 (1.8421) loss_rec_sfr: 1.8426 (1.8452) loss_cl: -0.0357 (-0.0356) time: 2.1254 data: 1.2150 max mem: 29859 [02:45:16.535823] Epoch: [0] [ 40/850] eta: 0:47:40 lr: 0.000003 loss: 1.8205 (1.8334) loss_rec_all: 1.8124 (1.8247) loss_rec_sfr: 1.8026 (1.8246) loss_cl: -0.0448 (-0.0412) time: 3.1512 data: 2.3003 max mem: 29859 [02:46:14.471999] Epoch: [0] [ 60/850] eta: 0:43:45 lr: 0.000004 loss: 1.7235 (1.7986) loss_rec_all: 1.7192 (1.7913) loss_rec_sfr: 1.7348 (1.7915) loss_cl: -0.0765 (-0.0524) time: 2.8968 data: 2.0542 max mem: 29859 [02:47:10.247268] Epoch: [0] [ 80/850] eta: 0:40:57 lr: 0.000006 loss: 1.6267 (1.7535) loss_rec_all: 1.6265 (1.7481) loss_rec_sfr: 1.6130 (1.7482) loss_cl: -0.1101 (-0.0680) time: 2.7887 data: 1.9381 max mem: 29859 [02:47:44.907159] Epoch: [0] [100/850] eta: 0:36:16 lr: 0.000007 loss: 1.4962 (1.7037) loss_rec_all: 1.5015 (1.7004) loss_rec_sfr: 1.4964 (1.6987) loss_cl: -0.1585 (-0.0856) time: 1.7329 data: 0.8897 max mem: 29859 [02:48:35.317509] Epoch: [0] [120/850] eta: 0:34:32 lr: 0.000008 loss: 1.4220 (1.6561) loss_rec_all: 1.4307 (1.6548) loss_rec_sfr: 1.4213 (1.6529) loss_cl: -0.1878 (-0.1029) time: 2.5205 data: 1.6741 max mem: 29859 [02:49:27.509296] Epoch: [0] [140/850] eta: 0:33:12 lr: 0.000010 loss: 1.3363 (1.6113) loss_rec_all: 1.3489 (1.6120) loss_rec_sfr: 1.3369 (1.6089) loss_cl: -0.2213 (-0.1195) time: 2.6095 data: 1.7654 max mem: 29859 [02:50:18.852745] Epoch: [0] [160/850] eta: 0:31:56 lr: 0.000011 loss: 1.2860 (1.5706) loss_rec_all: 1.3012 (1.5731) loss_rec_sfr: 1.2906 (1.5691) loss_cl: -0.2420 (-0.1349) time: 2.5671 data: 1.7219 max mem: 29859 [02:50:49.111249] Epoch: [0] [180/850] eta: 0:29:27 lr: 0.000012 loss: 1.2326 (1.5334) loss_rec_all: 1.2504 (1.5376) loss_rec_sfr: 1.2351 (1.5329) loss_cl: -0.2656 (-0.1493) time: 1.5129 data: 0.6698 max mem: 29859 [02:51:34.899928] Epoch: [0] [200/850] eta: 0:28:11 lr: 0.000014 loss: 1.1950 (1.4996) loss_rec_all: 1.2147 (1.5053) loss_rec_sfr: 1.1987 (1.4997) loss_cl: -0.2832 (-0.1625) time: 2.2894 data: 1.4421 max mem: 29859 [02:52:25.414102] Epoch: [0] [220/850] eta: 0:27:15 lr: 0.000015 loss: 1.1577 (1.4689) loss_rec_all: 1.1795 (1.4760) loss_rec_sfr: 1.1619 (1.4703) loss_cl: -0.2963 (-0.1745) time: 2.5257 data: 1.6805 max mem: 29859 [02:53:15.112438] Epoch: [0] [240/850] eta: 0:26:17 lr: 0.000017 loss: 1.1315 (1.4408) loss_rec_all: 1.1539 (1.4493) loss_rec_sfr: 1.1466 (1.4438) loss_cl: -0.3093 (-0.1857) time: 2.4849 data: 1.6386 max mem: 29859 [02:53:47.311916] Epoch: [0] [260/850] eta: 0:24:41 lr: 0.000018 loss: 1.1038 (1.4150) loss_rec_all: 1.1281 (1.4247) loss_rec_sfr: 1.1199 (1.4188) loss_cl: -0.3194 (-0.1959) time: 1.6099 data: 0.7661 max mem: 29859 [02:54:29.504007] Epoch: [0] [280/850] eta: 0:23:35 lr: 0.000020 loss: 1.0828 (1.3914) loss_rec_all: 1.1078 (1.4021) loss_rec_sfr: 1.1009 (1.3963) loss_cl: -0.3291 (-0.2055) time: 2.1096 data: 1.2595 max mem: 29859 [02:55:18.316825] Epoch: [0] [300/850] eta: 0:22:44 lr: 0.000021 loss: 1.0625 (1.3695) loss_rec_all: 1.0886 (1.3813) loss_rec_sfr: 1.0763 (1.3750) loss_cl: -0.3349 (-0.2140) time: 2.4406 data: 1.5956 max mem: 29859 [02:56:08.968963] Epoch: [0] [320/850] eta: 0:21:56 lr: 0.000023 loss: 1.0455 (1.3494) loss_rec_all: 1.0719 (1.3621) loss_rec_sfr: 1.0595 (1.3560) loss_cl: -0.3371 (-0.2217) time: 2.5326 data: 1.6846 max mem: 29859 [02:56:41.264537] Epoch: [0] [340/850] eta: 0:20:40 lr: 0.000024 loss: 1.0276 (1.3306) loss_rec_all: 1.0543 (1.3441) loss_rec_sfr: 1.0582 (1.3382) loss_cl: -0.3401 (-0.2286) time: 1.6147 data: 0.7708 max mem: 29859 [02:57:27.157932] Epoch: [0] [360/850] eta: 0:19:48 lr: 0.000025 loss: 1.0126 (1.3131) loss_rec_all: 1.0398 (1.3273) loss_rec_sfr: 1.0259 (1.3210) loss_cl: -0.3420 (-0.2349) time: 2.2946 data: 1.4369 max mem: 29859 [02:58:13.513598] Epoch: [0] [380/850] eta: 0:18:57 lr: 0.000027 loss: 0.9995 (1.2966) loss_rec_all: 1.0268 (1.3115) loss_rec_sfr: 1.0320 (1.3057) loss_cl: -0.3444 (-0.2406) time: 2.3177 data: 1.4715 max mem: 29859 [02:58:49.805520] Epoch: [0] [400/850] eta: 0:17:55 lr: 0.000028 loss: 0.9826 (1.2810) loss_rec_all: 1.0103 (1.2965) loss_rec_sfr: 0.9962 (1.2906) loss_cl: -0.3462 (-0.2459) time: 1.8145 data: 0.9657 max mem: 29859 [02:59:16.451487] Epoch: [0] [420/850] eta: 0:16:45 lr: 0.000029 loss: 0.9695 (1.2663) loss_rec_all: 0.9976 (1.2824) loss_rec_sfr: 1.0017 (1.2769) loss_cl: -0.3486 (-0.2507) time: 1.3322 data: 0.4870 max mem: 29859 [03:00:11.130949] Epoch: [0] [440/850] eta: 0:16:06 lr: 0.000031 loss: 0.9585 (1.2525) loss_rec_all: 0.9867 (1.2692) loss_rec_sfr: 1.0014 (1.2646) loss_cl: -0.3510 (-0.2552) time: 2.7339 data: 1.8869 max mem: 29859 [03:01:14.506687] Epoch: [0] [460/850] eta: 0:15:32 lr: 0.000032 loss: 0.9471 (1.2392) loss_rec_all: 0.9753 (1.2564) loss_rec_sfr: 0.9621 (1.2520) loss_cl: -0.3527 (-0.2594) time: 3.1687 data: 2.3248 max mem: 29859 [03:02:40.778700] Epoch: [0] [480/850] eta: 0:15:14 lr: 0.000034 loss: 0.9360 (1.2266) loss_rec_all: 0.9642 (1.2443) loss_rec_sfr: 0.9708 (1.2403) loss_cl: -0.3529 (-0.2632) time: 4.3136 data: 3.4678 max mem: 29859 [03:04:21.173997] Epoch: [0] [500/850] eta: 0:15:00 lr: 0.000035 loss: 0.9235 (1.2146) loss_rec_all: 0.9521 (1.2327) loss_rec_sfr: 0.9636 (1.2297) loss_cl: -0.3537 (-0.2666) time: 5.0197 data: 4.1799 max mem: 29859 [03:05:58.175313] Epoch: [0] [520/850] eta: 0:14:38 lr: 0.000037 loss: 0.9103 (1.2030) loss_rec_all: 0.9393 (1.2215) loss_rec_sfr: 0.9394 (1.2188) loss_cl: -0.3551 (-0.2700) time: 4.8500 data: 4.0089 max mem: 29859 [03:07:34.223496] Epoch: [0] [540/850] eta: 0:14:09 lr: 0.000038 loss: 0.8965 (1.1918) loss_rec_all: 0.9260 (1.2106) loss_rec_sfr: 0.9432 (1.2087) loss_cl: -0.3544 (-0.2731) time: 4.8024 data: 3.9626 max mem: 29859 [03:09:05.401648] Epoch: [0] [560/850] eta: 0:13:33 lr: 0.000040 loss: 0.8842 (1.1808) loss_rec_all: 0.9133 (1.2000) loss_rec_sfr: 0.9304 (1.1987) loss_cl: -0.3560 (-0.2760) time: 4.5589 data: 3.7180 max mem: 29859 [03:10:39.605982] Epoch: [0] [580/850] eta: 0:12:55 lr: 0.000041 loss: 0.8710 (1.1702) loss_rec_all: 0.9004 (1.1897) loss_rec_sfr: 0.9244 (1.1890) loss_cl: -0.3571 (-0.2787) time: 4.7102 data: 3.8694 max mem: 29859 [03:12:19.525528] Epoch: [0] [600/850] eta: 0:12:15 lr: 0.000042 loss: 0.8567 (1.1598) loss_rec_all: 0.8864 (1.1797) loss_rec_sfr: 0.9199 (1.1800) loss_cl: -0.3591 (-0.2814) time: 4.9959 data: 4.1546 max mem: 29859 [03:13:55.863368] Epoch: [0] [620/850] eta: 0:11:30 lr: 0.000043 loss: 0.8499 (1.1498) loss_rec_all: 0.8792 (1.1700) loss_rec_sfr: 0.9324 (1.1723) loss_cl: -0.3577 (-0.2837) time: 4.8168 data: 3.9773 max mem: 29859 [03:15:29.056920] Epoch: [0] [640/850] eta: 0:10:41 lr: 0.000045 loss: 0.8374 (1.1401) loss_rec_all: 0.8665 (1.1605) loss_rec_sfr: 0.9236 (1.1646) loss_cl: -0.3574 (-0.2859) time: 4.6596 data: 3.8178 max mem: 29859 [03:17:05.704707] Epoch: [0] [660/850] eta: 0:09:50 lr: 0.000046 loss: 0.8261 (1.1307) loss_rec_all: 0.8559 (1.1514) loss_rec_sfr: 0.9683 (1.1575) loss_cl: -0.3574 (-0.2881) time: 4.8323 data: 3.9925 max mem: 29859 [03:18:44.740668] Epoch: [0] [680/850] eta: 0:08:57 lr: 0.000048 loss: 0.8129 (1.1214) loss_rec_all: 0.8429 (1.1424) loss_rec_sfr: 0.8997 (1.1497) loss_cl: -0.3590 (-0.2901) time: 4.9518 data: 4.1101 max mem: 29859 [03:20:23.312862] Epoch: [0] [700/850] eta: 0:08:01 lr: 0.000049 loss: 0.8034 (1.1125) loss_rec_all: 0.8335 (1.1337) loss_rec_sfr: 0.8925 (1.1424) loss_cl: -0.3578 (-0.2920) time: 4.9286 data: 4.0889 max mem: 29859 [03:21:59.388641] Epoch: [0] [720/850] eta: 0:07:03 lr: 0.000051 loss: 0.7990 (1.1039) loss_rec_all: 0.8283 (1.1254) loss_rec_sfr: 0.8959 (1.1357) loss_cl: -0.3556 (-0.2937) time: 4.8037 data: 3.9621 max mem: 29859 [03:23:32.270597] Epoch: [0] [740/850] eta: 0:06:02 lr: 0.000052 loss: 0.7944 (1.0956) loss_rec_all: 0.8241 (1.1172) loss_rec_sfr: 0.8976 (1.1290) loss_cl: -0.3590 (-0.2954) time: 4.6440 data: 3.8016 max mem: 29859 [03:25:02.569685] Epoch: [0] [760/850] eta: 0:04:59 lr: 0.000054 loss: 0.7855 (1.0874) loss_rec_all: 0.8152 (1.1093) loss_rec_sfr: 0.8853 (1.1227) loss_cl: -0.3583 (-0.2971) time: 4.5149 data: 3.6715 max mem: 29859 [03:26:45.038385] Epoch: [0] [780/850] eta: 0:03:56 lr: 0.000055 loss: 0.7763 (1.0795) loss_rec_all: 0.8054 (1.1015) loss_rec_sfr: 0.8759 (1.1166) loss_cl: -0.3599 (-0.2987) time: 5.1234 data: 4.2832 max mem: 29859 [03:28:26.598658] Epoch: [0] [800/850] eta: 0:02:50 lr: 0.000056 loss: 0.7700 (1.0719) loss_rec_all: 0.7999 (1.0942) loss_rec_sfr: 0.8812 (1.1112) loss_cl: -0.3602 (-0.3001) time: 5.0780 data: 4.2362 max mem: 29859 [03:30:01.322210] Epoch: [0] [820/850] eta: 0:01:43 lr: 0.000058 loss: 0.7614 (1.0644) loss_rec_all: 0.7916 (1.0869) loss_rec_sfr: 0.8669 (1.1053) loss_cl: -0.3613 (-0.3016) time: 4.7361 data: 3.8956 max mem: 29859 [03:31:13.796998] Epoch: [0] [840/850] eta: 0:00:34 lr: 0.000059 loss: 0.7541 (1.0573) loss_rec_all: 0.7851 (1.0799) loss_rec_sfr: 0.8515 (1.0993) loss_cl: -0.3624 (-0.3030) time: 3.6237 data: 2.7816 max mem: 29859 [03:31:21.580830] Epoch: [0] [849/850] eta: 0:00:03 lr: 0.000060 loss: 0.7524 (1.0540) loss_rec_all: 0.7826 (1.0767) loss_rec_sfr: 0.8621 (1.0968) loss_cl: -0.3610 (-0.3035) time: 2.6514 data: 1.8090 max mem: 29859 [03:31:21.748060] Epoch: [0] Total time: 0:48:30 (3.4235 s / it) [03:31:21.757456] Averaged stats: lr: 0.000060 loss: 0.7524 (1.0546) loss_rec_all: 0.7826 (1.0769) loss_rec_sfr: 0.8621 (1.0980) loss_cl: -0.3610 (-0.3003) [03:31:25.700456] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [03:31:29.938302] Epoch: [1] [ 0/850] eta: 1:00:01 lr: 0.000060 loss: 0.7851 (0.7851) loss_rec_all: 0.8135 (0.8135) loss_rec_sfr: 0.9595 (0.9595) loss_cl: -0.3519 (-0.3519) time: 4.2369 data: 3.3939 max mem: 29859 [03:31:47.218971] Epoch: [1] [ 20/850] eta: 0:14:10 lr: 0.000061 loss: 0.7531 (0.7582) loss_rec_all: 0.7835 (0.7878) loss_rec_sfr: 0.8850 (0.8974) loss_cl: -0.3618 (-0.3589) time: 0.8640 data: 0.0001 max mem: 29859 [03:32:04.218920] Epoch: [1] [ 40/850] eta: 0:12:40 lr: 0.000063 loss: 0.7437 (0.7535) loss_rec_all: 0.7736 (0.7832) loss_rec_sfr: 0.8756 (0.8983) loss_cl: -0.3607 (-0.3591) time: 0.8500 data: 0.0002 max mem: 29859 [03:32:21.247940] Epoch: [1] [ 60/850] eta: 0:11:59 lr: 0.000064 loss: 0.7381 (0.7502) loss_rec_all: 0.7683 (0.7798) loss_rec_sfr: 0.8850 (0.8986) loss_cl: -0.3612 (-0.3592) time: 0.8514 data: 0.0002 max mem: 29859 [03:32:38.384346] Epoch: [1] [ 80/850] eta: 0:11:30 lr: 0.000066 loss: 0.7365 (0.7486) loss_rec_all: 0.7669 (0.7783) loss_rec_sfr: 0.8725 (0.8914) loss_cl: -0.3601 (-0.3590) time: 0.8568 data: 0.0002 max mem: 29859 [03:32:55.520917] Epoch: [1] [100/850] eta: 0:11:06 lr: 0.000067 loss: 0.7320 (0.7457) loss_rec_all: 0.7617 (0.7755) loss_rec_sfr: 0.8575 (0.8823) loss_cl: -0.3616 (-0.3594) time: 0.8568 data: 0.0002 max mem: 29859 [03:33:12.808504] Epoch: [1] [120/850] eta: 0:10:46 lr: 0.000068 loss: 0.7282 (0.7440) loss_rec_all: 0.7585 (0.7738) loss_rec_sfr: 0.8678 (0.8819) loss_cl: -0.3603 (-0.3592) time: 0.8643 data: 0.0002 max mem: 29859 [03:33:30.126421] Epoch: [1] [140/850] eta: 0:10:26 lr: 0.000070 loss: 0.7268 (0.7427) loss_rec_all: 0.7580 (0.7724) loss_rec_sfr: 0.8586 (0.8786) loss_cl: -0.3606 (-0.3592) time: 0.8658 data: 0.0002 max mem: 29859 [03:33:47.317059] Epoch: [1] [160/850] eta: 0:10:06 lr: 0.000071 loss: 0.7226 (0.7406) loss_rec_all: 0.7525 (0.7704) loss_rec_sfr: 0.8467 (0.8763) loss_cl: -0.3615 (-0.3594) time: 0.8595 data: 0.0002 max mem: 29859 [03:34:04.484061] Epoch: [1] [180/850] eta: 0:09:47 lr: 0.000072 loss: 0.7199 (0.7389) loss_rec_all: 0.7506 (0.7687) loss_rec_sfr: 0.8429 (0.8737) loss_cl: -0.3597 (-0.3593) time: 0.8583 data: 0.0002 max mem: 29859 [03:34:21.712714] Epoch: [1] [200/850] eta: 0:09:29 lr: 0.000074 loss: 0.7181 (0.7377) loss_rec_all: 0.7483 (0.7675) loss_rec_sfr: 0.8636 (0.8741) loss_cl: -0.3617 (-0.3594) time: 0.8614 data: 0.0002 max mem: 29859 [03:34:38.869343] Epoch: [1] [220/850] eta: 0:09:10 lr: 0.000075 loss: 0.7125 (0.7359) loss_rec_all: 0.7423 (0.7657) loss_rec_sfr: 0.8423 (0.8727) loss_cl: -0.3620 (-0.3596) time: 0.8578 data: 0.0002 max mem: 29859 [03:34:56.096648] Epoch: [1] [240/850] eta: 0:08:52 lr: 0.000077 loss: 0.7149 (0.7345) loss_rec_all: 0.7461 (0.7644) loss_rec_sfr: 0.8496 (0.8719) loss_cl: -0.3629 (-0.3598) time: 0.8613 data: 0.0002 max mem: 29859 [03:35:13.310719] Epoch: [1] [260/850] eta: 0:08:34 lr: 0.000078 loss: 0.7224 (0.7336) loss_rec_all: 0.7522 (0.7635) loss_rec_sfr: 0.8362 (0.8691) loss_cl: -0.3609 (-0.3598) time: 0.8607 data: 0.0002 max mem: 29859 [03:35:30.527897] Epoch: [1] [280/850] eta: 0:08:16 lr: 0.000080 loss: 0.7064 (0.7320) loss_rec_all: 0.7366 (0.7619) loss_rec_sfr: 0.8348 (0.8665) loss_cl: -0.3611 (-0.3599) time: 0.8608 data: 0.0002 max mem: 29859 [03:35:47.705671] Epoch: [1] [300/850] eta: 0:07:58 lr: 0.000081 loss: 0.7031 (0.7304) loss_rec_all: 0.7335 (0.7603) loss_rec_sfr: 0.8578 (0.8666) loss_cl: -0.3626 (-0.3600) time: 0.8588 data: 0.0002 max mem: 29859 [03:36:04.961290] Epoch: [1] [320/850] eta: 0:07:41 lr: 0.000083 loss: 0.7004 (0.7288) loss_rec_all: 0.7305 (0.7587) loss_rec_sfr: 0.8627 (0.8674) loss_cl: -0.3613 (-0.3599) time: 0.8627 data: 0.0002 max mem: 29859 [03:36:22.139756] Epoch: [1] [340/850] eta: 0:07:23 lr: 0.000084 loss: 0.6927 (0.7269) loss_rec_all: 0.7243 (0.7569) loss_rec_sfr: 0.8394 (0.8659) loss_cl: -0.3648 (-0.3602) time: 0.8589 data: 0.0002 max mem: 29859 [03:36:39.375319] Epoch: [1] [360/850] eta: 0:07:05 lr: 0.000085 loss: 0.6887 (0.7252) loss_rec_all: 0.7197 (0.7552) loss_rec_sfr: 0.8464 (0.8644) loss_cl: -0.3609 (-0.3601) time: 0.8617 data: 0.0002 max mem: 29859 [03:36:56.605192] Epoch: [1] [380/850] eta: 0:06:48 lr: 0.000087 loss: 0.6824 (0.7234) loss_rec_all: 0.7138 (0.7534) loss_rec_sfr: 0.8369 (0.8631) loss_cl: -0.3628 (-0.3602) time: 0.8614 data: 0.0002 max mem: 29859 [03:37:13.840155] Epoch: [1] [400/850] eta: 0:06:30 lr: 0.000088 loss: 0.6822 (0.7216) loss_rec_all: 0.7123 (0.7516) loss_rec_sfr: 0.8644 (0.8627) loss_cl: -0.3637 (-0.3603) time: 0.8617 data: 0.0002 max mem: 29859 [03:37:31.075879] Epoch: [1] [420/850] eta: 0:06:13 lr: 0.000089 loss: 0.6804 (0.7199) loss_rec_all: 0.7110 (0.7499) loss_rec_sfr: 0.8270 (0.8605) loss_cl: -0.3645 (-0.3605) time: 0.8617 data: 0.0002 max mem: 29859 [03:37:48.322285] Epoch: [1] [440/850] eta: 0:05:55 lr: 0.000091 loss: 0.6790 (0.7181) loss_rec_all: 0.7082 (0.7481) loss_rec_sfr: 0.8617 (0.8615) loss_cl: -0.3636 (-0.3605) time: 0.8623 data: 0.0002 max mem: 29859 [03:38:05.532700] Epoch: [1] [460/850] eta: 0:05:38 lr: 0.000092 loss: 0.6729 (0.7163) loss_rec_all: 0.7028 (0.7463) loss_rec_sfr: 0.8522 (0.8608) loss_cl: -0.3616 (-0.3605) time: 0.8605 data: 0.0002 max mem: 29859 [03:38:22.797183] Epoch: [1] [480/850] eta: 0:05:20 lr: 0.000094 loss: 0.6950 (0.7154) loss_rec_all: 0.7255 (0.7454) loss_rec_sfr: 0.8345 (0.8598) loss_cl: -0.3625 (-0.3605) time: 0.8632 data: 0.0003 max mem: 29859 [03:38:40.002281] Epoch: [1] [500/850] eta: 0:05:03 lr: 0.000095 loss: 0.6781 (0.7140) loss_rec_all: 0.7079 (0.7440) loss_rec_sfr: 0.8417 (0.8584) loss_cl: -0.3625 (-0.3605) time: 0.8602 data: 0.0002 max mem: 29859 [03:38:57.257182] Epoch: [1] [520/850] eta: 0:04:45 lr: 0.000097 loss: 0.6762 (0.7124) loss_rec_all: 0.7069 (0.7425) loss_rec_sfr: 0.8436 (0.8578) loss_cl: -0.3655 (-0.3607) time: 0.8627 data: 0.0002 max mem: 29859 [03:39:14.476165] Epoch: [1] [540/850] eta: 0:04:28 lr: 0.000098 loss: 0.6747 (0.7112) loss_rec_all: 0.7057 (0.7413) loss_rec_sfr: 0.8294 (0.8565) loss_cl: -0.3645 (-0.3607) time: 0.8609 data: 0.0002 max mem: 29859 [03:39:31.715826] Epoch: [1] [560/850] eta: 0:04:11 lr: 0.000100 loss: 0.6688 (0.7100) loss_rec_all: 0.6992 (0.7401) loss_rec_sfr: 0.8339 (0.8560) loss_cl: -0.3642 (-0.3608) time: 0.8619 data: 0.0002 max mem: 29859 [03:39:48.925941] Epoch: [1] [580/850] eta: 0:03:53 lr: 0.000101 loss: 0.6713 (0.7088) loss_rec_all: 0.7006 (0.7388) loss_rec_sfr: 0.8554 (0.8564) loss_cl: -0.3616 (-0.3607) time: 0.8603 data: 0.0002 max mem: 29859 [03:40:06.193313] Epoch: [1] [600/850] eta: 0:03:36 lr: 0.000102 loss: 0.6624 (0.7074) loss_rec_all: 0.6931 (0.7375) loss_rec_sfr: 0.8568 (0.8563) loss_cl: -0.3674 (-0.3609) time: 0.8632 data: 0.0002 max mem: 29859 [03:40:23.356565] Epoch: [1] [620/850] eta: 0:03:19 lr: 0.000103 loss: 0.6579 (0.7060) loss_rec_all: 0.6878 (0.7361) loss_rec_sfr: 0.8314 (0.8554) loss_cl: -0.3613 (-0.3609) time: 0.8581 data: 0.0002 max mem: 29859 [03:40:40.613155] Epoch: [1] [640/850] eta: 0:03:01 lr: 0.000105 loss: 0.6629 (0.7048) loss_rec_all: 0.6927 (0.7349) loss_rec_sfr: 0.8374 (0.8547) loss_cl: -0.3607 (-0.3609) time: 0.8628 data: 0.0002 max mem: 29859 [03:40:57.792106] Epoch: [1] [660/850] eta: 0:02:44 lr: 0.000106 loss: 0.6583 (0.7035) loss_rec_all: 0.6893 (0.7336) loss_rec_sfr: 0.8098 (0.8530) loss_cl: -0.3662 (-0.3610) time: 0.8589 data: 0.0002 max mem: 29859 [03:41:15.062694] Epoch: [1] [680/850] eta: 0:02:27 lr: 0.000108 loss: 0.6571 (0.7021) loss_rec_all: 0.6872 (0.7323) loss_rec_sfr: 0.8200 (0.8517) loss_cl: -0.3619 (-0.3610) time: 0.8635 data: 0.0002 max mem: 29859 [03:41:32.256862] Epoch: [1] [700/850] eta: 0:02:09 lr: 0.000109 loss: 0.6499 (0.7007) loss_rec_all: 0.6799 (0.7309) loss_rec_sfr: 0.8333 (0.8515) loss_cl: -0.3600 (-0.3610) time: 0.8596 data: 0.0002 max mem: 29859 [03:41:49.509911] Epoch: [1] [720/850] eta: 0:01:52 lr: 0.000111 loss: 0.6501 (0.6994) loss_rec_all: 0.6807 (0.7296) loss_rec_sfr: 0.8297 (0.8510) loss_cl: -0.3651 (-0.3610) time: 0.8626 data: 0.0002 max mem: 29859 [03:42:06.704111] Epoch: [1] [740/850] eta: 0:01:35 lr: 0.000112 loss: 0.6451 (0.6980) loss_rec_all: 0.6762 (0.7282) loss_rec_sfr: 0.8267 (0.8497) loss_cl: -0.3664 (-0.3612) time: 0.8597 data: 0.0002 max mem: 29859 [03:42:23.931077] Epoch: [1] [760/850] eta: 0:01:17 lr: 0.000114 loss: 0.6470 (0.6969) loss_rec_all: 0.6773 (0.7271) loss_rec_sfr: 0.8350 (0.8491) loss_cl: -0.3624 (-0.3611) time: 0.8613 data: 0.0002 max mem: 29859 [03:42:41.112632] Epoch: [1] [780/850] eta: 0:01:00 lr: 0.000115 loss: 0.6488 (0.6956) loss_rec_all: 0.6791 (0.7258) loss_rec_sfr: 0.8128 (0.8481) loss_cl: -0.3661 (-0.3613) time: 0.8590 data: 0.0002 max mem: 29859 [03:42:58.348992] Epoch: [1] [800/850] eta: 0:00:43 lr: 0.000116 loss: 0.6360 (0.6942) loss_rec_all: 0.6677 (0.7244) loss_rec_sfr: 0.7235 (0.8462) loss_cl: -0.3643 (-0.3613) time: 0.8618 data: 0.0002 max mem: 29859 [03:43:15.519022] Epoch: [1] [820/850] eta: 0:00:25 lr: 0.000118 loss: 0.6371 (0.6929) loss_rec_all: 0.6670 (0.7231) loss_rec_sfr: 0.8125 (0.8455) loss_cl: -0.3640 (-0.3614) time: 0.8585 data: 0.0002 max mem: 29859 [03:43:32.799734] Epoch: [1] [840/850] eta: 0:00:08 lr: 0.000119 loss: 0.6366 (0.6916) loss_rec_all: 0.6673 (0.7219) loss_rec_sfr: 0.7777 (0.8439) loss_cl: -0.3646 (-0.3614) time: 0.8640 data: 0.0005 max mem: 29859 [03:43:40.526901] Epoch: [1] [849/850] eta: 0:00:00 lr: 0.000120 loss: 0.6342 (0.6910) loss_rec_all: 0.6654 (0.7212) loss_rec_sfr: 0.7214 (0.8426) loss_cl: -0.3637 (-0.3614) time: 0.8638 data: 0.0005 max mem: 29859 [03:43:40.683763] Epoch: [1] Total time: 0:12:14 (0.8647 s / it) [03:43:40.684936] Averaged stats: lr: 0.000120 loss: 0.6342 (0.6919) loss_rec_all: 0.6654 (0.7220) loss_rec_sfr: 0.7214 (0.8432) loss_cl: -0.3637 (-0.3608) [03:43:40.690098] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [03:43:45.009126] Epoch: [2] [ 0/850] eta: 1:01:10 lr: 0.000120 loss: 0.6274 (0.6274) loss_rec_all: 0.6592 (0.6592) loss_rec_sfr: 0.7083 (0.7083) loss_cl: -0.3674 (-0.3674) time: 4.3184 data: 3.4630 max mem: 29859 [03:44:02.197584] Epoch: [2] [ 20/850] eta: 0:14:09 lr: 0.000121 loss: 0.6299 (0.6340) loss_rec_all: 0.6601 (0.6650) loss_rec_sfr: 0.7902 (0.7826) loss_cl: -0.3663 (-0.3645) time: 0.8594 data: 0.0002 max mem: 29859 [03:44:19.427120] Epoch: [2] [ 40/850] eta: 0:12:45 lr: 0.000123 loss: 0.6332 (0.6348) loss_rec_all: 0.6632 (0.6656) loss_rec_sfr: 0.8121 (0.7842) loss_cl: -0.3614 (-0.3626) time: 0.8614 data: 0.0002 max mem: 29859 [03:44:36.642355] Epoch: [2] [ 60/850] eta: 0:12:04 lr: 0.000124 loss: 0.6412 (0.6393) loss_rec_all: 0.6723 (0.6700) loss_rec_sfr: 0.8234 (0.7930) loss_cl: -0.3638 (-0.3621) time: 0.8607 data: 0.0002 max mem: 29859 [03:44:53.855790] Epoch: [2] [ 80/850] eta: 0:11:35 lr: 0.000126 loss: 0.6313 (0.6388) loss_rec_all: 0.6627 (0.6694) loss_rec_sfr: 0.8067 (0.7949) loss_cl: -0.3628 (-0.3620) time: 0.8606 data: 0.0002 max mem: 29859 [03:45:11.061643] Epoch: [2] [100/850] eta: 0:11:11 lr: 0.000127 loss: 0.6300 (0.6370) loss_rec_all: 0.6611 (0.6676) loss_rec_sfr: 0.7930 (0.7935) loss_cl: -0.3614 (-0.3619) time: 0.8602 data: 0.0002 max mem: 29859 [03:45:28.290930] Epoch: [2] [120/850] eta: 0:10:49 lr: 0.000128 loss: 0.6283 (0.6361) loss_rec_all: 0.6596 (0.6668) loss_rec_sfr: 0.7983 (0.7931) loss_cl: -0.3634 (-0.3621) time: 0.8614 data: 0.0002 max mem: 29859 [03:45:45.497764] Epoch: [2] [140/850] eta: 0:10:28 lr: 0.000130 loss: 0.6223 (0.6351) loss_rec_all: 0.6541 (0.6658) loss_rec_sfr: 0.7746 (0.7901) loss_cl: -0.3644 (-0.3623) time: 0.8603 data: 0.0002 max mem: 29859 [03:46:02.724035] Epoch: [2] [160/850] eta: 0:10:08 lr: 0.000131 loss: 0.6189 (0.6337) loss_rec_all: 0.6504 (0.6644) loss_rec_sfr: 0.7932 (0.7897) loss_cl: -0.3638 (-0.3624) time: 0.8612 data: 0.0002 max mem: 29859 [03:46:19.904256] Epoch: [2] [180/850] eta: 0:09:49 lr: 0.000132 loss: 0.6142 (0.6322) loss_rec_all: 0.6456 (0.6629) loss_rec_sfr: 0.7964 (0.7893) loss_cl: -0.3617 (-0.3623) time: 0.8590 data: 0.0002 max mem: 29859 [03:46:37.169548] Epoch: [2] [200/850] eta: 0:09:30 lr: 0.000134 loss: 0.6121 (0.6307) loss_rec_all: 0.6436 (0.6614) loss_rec_sfr: 0.7996 (0.7885) loss_cl: -0.3635 (-0.3624) time: 0.8632 data: 0.0002 max mem: 29859 [03:46:54.399339] Epoch: [2] [220/850] eta: 0:09:12 lr: 0.000135 loss: 0.6105 (0.6292) loss_rec_all: 0.6418 (0.6600) loss_rec_sfr: 0.7953 (0.7872) loss_cl: -0.3651 (-0.3626) time: 0.8614 data: 0.0002 max mem: 29859 [03:47:11.633257] Epoch: [2] [240/850] eta: 0:08:53 lr: 0.000137 loss: 0.6153 (0.6285) loss_rec_all: 0.6455 (0.6592) loss_rec_sfr: 0.8116 (0.7894) loss_cl: -0.3631 (-0.3626) time: 0.8616 data: 0.0002 max mem: 29859 [03:47:28.823590] Epoch: [2] [260/850] eta: 0:08:35 lr: 0.000138 loss: 0.6086 (0.6278) loss_rec_all: 0.6399 (0.6585) loss_rec_sfr: 0.7918 (0.7885) loss_cl: -0.3637 (-0.3626) time: 0.8595 data: 0.0001 max mem: 29859 [03:47:46.023017] Epoch: [2] [280/850] eta: 0:08:17 lr: 0.000140 loss: 0.6254 (0.6280) loss_rec_all: 0.6566 (0.6588) loss_rec_sfr: 0.7956 (0.7881) loss_cl: -0.3620 (-0.3625) time: 0.8599 data: 0.0002 max mem: 29859 [03:48:03.250896] Epoch: [2] [300/850] eta: 0:07:59 lr: 0.000141 loss: 0.6083 (0.6269) loss_rec_all: 0.6390 (0.6576) loss_rec_sfr: 0.7861 (0.7871) loss_cl: -0.3642 (-0.3626) time: 0.8613 data: 0.0002 max mem: 29859 [03:48:20.503848] Epoch: [2] [320/850] eta: 0:07:41 lr: 0.000143 loss: 0.6100 (0.6264) loss_rec_all: 0.6406 (0.6572) loss_rec_sfr: 0.7695 (0.7857) loss_cl: -0.3618 (-0.3625) time: 0.8626 data: 0.0002 max mem: 29859 [03:48:37.698537] Epoch: [2] [340/850] eta: 0:07:24 lr: 0.000144 loss: 0.6091 (0.6257) loss_rec_all: 0.6401 (0.6564) loss_rec_sfr: 0.7826 (0.7846) loss_cl: -0.3626 (-0.3625) time: 0.8597 data: 0.0002 max mem: 29859 [03:48:54.937121] Epoch: [2] [360/850] eta: 0:07:06 lr: 0.000145 loss: 0.6023 (0.6246) loss_rec_all: 0.6337 (0.6554) loss_rec_sfr: 0.7868 (0.7826) loss_cl: -0.3637 (-0.3626) time: 0.8619 data: 0.0002 max mem: 29859 [03:49:12.153975] Epoch: [2] [380/850] eta: 0:06:48 lr: 0.000147 loss: 0.5976 (0.6233) loss_rec_all: 0.6278 (0.6541) loss_rec_sfr: 0.7617 (0.7814) loss_cl: -0.3603 (-0.3625) time: 0.8608 data: 0.0002 max mem: 29859 [03:49:29.368552] Epoch: [2] [400/850] eta: 0:06:31 lr: 0.000148 loss: 0.6028 (0.6225) loss_rec_all: 0.6333 (0.6532) loss_rec_sfr: 0.7853 (0.7799) loss_cl: -0.3617 (-0.3624) time: 0.8607 data: 0.0002 max mem: 29859 [03:49:46.570981] Epoch: [2] [420/850] eta: 0:06:13 lr: 0.000149 loss: 0.5983 (0.6213) loss_rec_all: 0.6293 (0.6521) loss_rec_sfr: 0.6853 (0.7780) loss_cl: -0.3609 (-0.3624) time: 0.8601 data: 0.0002 max mem: 29859 [03:50:03.794967] Epoch: [2] [440/850] eta: 0:05:56 lr: 0.000151 loss: 0.5963 (0.6204) loss_rec_all: 0.6279 (0.6512) loss_rec_sfr: 0.7875 (0.7777) loss_cl: -0.3637 (-0.3624) time: 0.8612 data: 0.0002 max mem: 29859 [03:50:20.983758] Epoch: [2] [460/850] eta: 0:05:38 lr: 0.000152 loss: 0.6021 (0.6197) loss_rec_all: 0.6336 (0.6505) loss_rec_sfr: 0.7706 (0.7771) loss_cl: -0.3633 (-0.3624) time: 0.8594 data: 0.0002 max mem: 29859 [03:50:38.202669] Epoch: [2] [480/850] eta: 0:05:21 lr: 0.000154 loss: 0.5947 (0.6188) loss_rec_all: 0.6258 (0.6496) loss_rec_sfr: 0.7642 (0.7766) loss_cl: -0.3639 (-0.3625) time: 0.8609 data: 0.0002 max mem: 29859 [03:50:55.452707] Epoch: [2] [500/850] eta: 0:05:03 lr: 0.000155 loss: 0.5936 (0.6180) loss_rec_all: 0.6240 (0.6489) loss_rec_sfr: 0.7796 (0.7761) loss_cl: -0.3645 (-0.3625) time: 0.8624 data: 0.0003 max mem: 29859 [03:51:12.698899] Epoch: [2] [520/850] eta: 0:04:46 lr: 0.000157 loss: 0.5918 (0.6175) loss_rec_all: 0.6231 (0.6483) loss_rec_sfr: 0.7757 (0.7757) loss_cl: -0.3605 (-0.3624) time: 0.8623 data: 0.0002 max mem: 29859 [03:51:29.891280] Epoch: [2] [540/850] eta: 0:04:28 lr: 0.000158 loss: 0.5837 (0.6164) loss_rec_all: 0.6144 (0.6472) loss_rec_sfr: 0.7747 (0.7758) loss_cl: -0.3635 (-0.3624) time: 0.8596 data: 0.0002 max mem: 29859 [03:51:47.166804] Epoch: [2] [560/850] eta: 0:04:11 lr: 0.000160 loss: 0.5862 (0.6154) loss_rec_all: 0.6178 (0.6462) loss_rec_sfr: 0.6783 (0.7740) loss_cl: -0.3639 (-0.3625) time: 0.8637 data: 0.0002 max mem: 29859 [03:52:04.375926] Epoch: [2] [580/850] eta: 0:03:54 lr: 0.000161 loss: 0.5830 (0.6145) loss_rec_all: 0.6149 (0.6453) loss_rec_sfr: 0.6777 (0.7721) loss_cl: -0.3625 (-0.3625) time: 0.8604 data: 0.0002 max mem: 29859 [03:52:21.593557] Epoch: [2] [600/850] eta: 0:03:36 lr: 0.000162 loss: 0.5799 (0.6137) loss_rec_all: 0.6116 (0.6446) loss_rec_sfr: 0.7714 (0.7718) loss_cl: -0.3628 (-0.3625) time: 0.8608 data: 0.0002 max mem: 29859 [03:52:38.801261] Epoch: [2] [620/850] eta: 0:03:19 lr: 0.000163 loss: 0.5810 (0.6130) loss_rec_all: 0.6119 (0.6439) loss_rec_sfr: 0.7709 (0.7708) loss_cl: -0.3628 (-0.3624) time: 0.8603 data: 0.0002 max mem: 29859 [03:52:56.018518] Epoch: [2] [640/850] eta: 0:03:01 lr: 0.000165 loss: 0.5750 (0.6120) loss_rec_all: 0.6058 (0.6429) loss_rec_sfr: 0.7580 (0.7698) loss_cl: -0.3611 (-0.3624) time: 0.8608 data: 0.0002 max mem: 29859 [03:53:13.227181] Epoch: [2] [660/850] eta: 0:02:44 lr: 0.000166 loss: 0.5766 (0.6110) loss_rec_all: 0.6082 (0.6419) loss_rec_sfr: 0.7559 (0.7687) loss_cl: -0.3627 (-0.3624) time: 0.8604 data: 0.0002 max mem: 29859 [03:53:30.459801] Epoch: [2] [680/850] eta: 0:02:27 lr: 0.000168 loss: 0.5742 (0.6102) loss_rec_all: 0.6057 (0.6410) loss_rec_sfr: 0.7591 (0.7678) loss_cl: -0.3613 (-0.3623) time: 0.8616 data: 0.0002 max mem: 29859 [03:53:47.670259] Epoch: [2] [700/850] eta: 0:02:09 lr: 0.000169 loss: 0.5861 (0.6096) loss_rec_all: 0.6171 (0.6405) loss_rec_sfr: 0.7032 (0.7668) loss_cl: -0.3619 (-0.3623) time: 0.8605 data: 0.0002 max mem: 29859 [03:54:04.928649] Epoch: [2] [720/850] eta: 0:01:52 lr: 0.000171 loss: 0.5936 (0.6092) loss_rec_all: 0.6256 (0.6401) loss_rec_sfr: 0.7441 (0.7661) loss_cl: -0.3665 (-0.3624) time: 0.8629 data: 0.0002 max mem: 29859 [03:54:22.106605] Epoch: [2] [740/850] eta: 0:01:35 lr: 0.000172 loss: 0.5845 (0.6088) loss_rec_all: 0.6149 (0.6397) loss_rec_sfr: 0.7854 (0.7656) loss_cl: -0.3647 (-0.3624) time: 0.8588 data: 0.0002 max mem: 29859 [03:54:39.352031] Epoch: [2] [760/850] eta: 0:01:17 lr: 0.000174 loss: 0.5814 (0.6082) loss_rec_all: 0.6122 (0.6390) loss_rec_sfr: 0.7567 (0.7649) loss_cl: -0.3607 (-0.3624) time: 0.8622 data: 0.0002 max mem: 29859 [03:54:56.562425] Epoch: [2] [780/850] eta: 0:01:00 lr: 0.000175 loss: 0.5736 (0.6074) loss_rec_all: 0.6049 (0.6383) loss_rec_sfr: 0.7348 (0.7638) loss_cl: -0.3631 (-0.3624) time: 0.8605 data: 0.0002 max mem: 29859 [03:55:13.809038] Epoch: [2] [800/850] eta: 0:00:43 lr: 0.000176 loss: 0.5758 (0.6067) loss_rec_all: 0.6069 (0.6376) loss_rec_sfr: 0.7621 (0.7634) loss_cl: -0.3630 (-0.3624) time: 0.8623 data: 0.0002 max mem: 29859 [03:55:31.014795] Epoch: [2] [820/850] eta: 0:00:25 lr: 0.000178 loss: 0.5720 (0.6059) loss_rec_all: 0.6040 (0.6368) loss_rec_sfr: 0.7455 (0.7624) loss_cl: -0.3649 (-0.3624) time: 0.8602 data: 0.0002 max mem: 29859 [03:55:48.260205] Epoch: [2] [840/850] eta: 0:00:08 lr: 0.000179 loss: 0.5688 (0.6051) loss_rec_all: 0.5996 (0.6361) loss_rec_sfr: 0.7617 (0.7616) loss_cl: -0.3633 (-0.3624) time: 0.8622 data: 0.0005 max mem: 29859 [03:55:56.016987] Epoch: [2] [849/850] eta: 0:00:00 lr: 0.000180 loss: 0.5668 (0.6048) loss_rec_all: 0.5978 (0.6357) loss_rec_sfr: 0.7788 (0.7615) loss_cl: -0.3632 (-0.3625) time: 0.8629 data: 0.0004 max mem: 29859 [03:55:56.140321] Epoch: [2] Total time: 0:12:15 (0.8652 s / it) [03:55:56.171919] Averaged stats: lr: 0.000180 loss: 0.5668 (0.6050) loss_rec_all: 0.5978 (0.6359) loss_rec_sfr: 0.7788 (0.7633) loss_cl: -0.3632 (-0.3623) [03:55:56.177941] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [03:56:00.518378] Epoch: [3] [ 0/850] eta: 1:01:28 lr: 0.000180 loss: 0.5612 (0.5612) loss_rec_all: 0.5924 (0.5924) loss_rec_sfr: 0.7460 (0.7460) loss_cl: -0.3643 (-0.3643) time: 4.3398 data: 3.3485 max mem: 29859 [03:56:17.725216] Epoch: [3] [ 20/850] eta: 0:14:11 lr: 0.000181 loss: 0.5607 (0.5652) loss_rec_all: 0.5925 (0.5964) loss_rec_sfr: 0.7533 (0.7381) loss_cl: -0.3639 (-0.3631) time: 0.8603 data: 0.0002 max mem: 29859 [03:56:34.950880] Epoch: [3] [ 40/850] eta: 0:12:45 lr: 0.000183 loss: 0.5696 (0.5705) loss_rec_all: 0.6016 (0.6016) loss_rec_sfr: 0.7736 (0.7455) loss_cl: -0.3641 (-0.3631) time: 0.8612 data: 0.0002 max mem: 29859 [03:56:52.142742] Epoch: [3] [ 60/850] eta: 0:12:04 lr: 0.000184 loss: 0.5694 (0.5729) loss_rec_all: 0.6002 (0.6039) loss_rec_sfr: 0.7532 (0.7432) loss_cl: -0.3640 (-0.3628) time: 0.8595 data: 0.0002 max mem: 29859 [03:57:09.395947] Epoch: [3] [ 80/850] eta: 0:11:35 lr: 0.000186 loss: 0.5610 (0.5704) loss_rec_all: 0.5917 (0.6015) loss_rec_sfr: 0.7453 (0.7373) loss_cl: -0.3616 (-0.3625) time: 0.8626 data: 0.0002 max mem: 29859 [03:57:26.589525] Epoch: [3] [100/850] eta: 0:11:11 lr: 0.000187 loss: 0.5607 (0.5682) loss_rec_all: 0.5925 (0.5994) loss_rec_sfr: 0.6579 (0.7303) loss_cl: -0.3638 (-0.3627) time: 0.8596 data: 0.0002 max mem: 29859 [03:57:43.824065] Epoch: [3] [120/850] eta: 0:10:49 lr: 0.000188 loss: 0.5694 (0.5688) loss_rec_all: 0.6013 (0.6000) loss_rec_sfr: 0.6551 (0.7259) loss_cl: -0.3640 (-0.3629) time: 0.8617 data: 0.0002 max mem: 29859 [03:58:00.997080] Epoch: [3] [140/850] eta: 0:10:28 lr: 0.000190 loss: 0.5623 (0.5690) loss_rec_all: 0.5942 (0.6002) loss_rec_sfr: 0.7676 (0.7298) loss_cl: -0.3628 (-0.3628) time: 0.8586 data: 0.0002 max mem: 29859 [03:58:18.227994] Epoch: [3] [160/850] eta: 0:10:08 lr: 0.000191 loss: 0.5561 (0.5679) loss_rec_all: 0.5874 (0.5991) loss_rec_sfr: 0.7522 (0.7284) loss_cl: -0.3640 (-0.3629) time: 0.8615 data: 0.0002 max mem: 29859 [03:58:35.414077] Epoch: [3] [180/850] eta: 0:09:49 lr: 0.000192 loss: 0.5509 (0.5670) loss_rec_all: 0.5821 (0.5982) loss_rec_sfr: 0.7482 (0.7274) loss_cl: -0.3639 (-0.3629) time: 0.8593 data: 0.0002 max mem: 29859 [03:58:52.640151] Epoch: [3] [200/850] eta: 0:09:30 lr: 0.000194 loss: 0.5593 (0.5669) loss_rec_all: 0.5910 (0.5981) loss_rec_sfr: 0.7444 (0.7269) loss_cl: -0.3637 (-0.3630) time: 0.8612 data: 0.0002 max mem: 29859 [03:59:09.830892] Epoch: [3] [220/850] eta: 0:09:12 lr: 0.000195 loss: 0.5480 (0.5656) loss_rec_all: 0.5791 (0.5968) loss_rec_sfr: 0.7563 (0.7279) loss_cl: -0.3646 (-0.3631) time: 0.8595 data: 0.0002 max mem: 29859 [03:59:27.064933] Epoch: [3] [240/850] eta: 0:08:53 lr: 0.000197 loss: 0.5475 (0.5650) loss_rec_all: 0.5787 (0.5962) loss_rec_sfr: 0.7654 (0.7288) loss_cl: -0.3637 (-0.3630) time: 0.8617 data: 0.0002 max mem: 29859 [03:59:44.234604] Epoch: [3] [260/850] eta: 0:08:35 lr: 0.000198 loss: 0.5446 (0.5641) loss_rec_all: 0.5762 (0.5953) loss_rec_sfr: 0.7367 (0.7277) loss_cl: -0.3650 (-0.3631) time: 0.8584 data: 0.0002 max mem: 29859 [04:00:01.439703] Epoch: [3] [280/850] eta: 0:08:17 lr: 0.000200 loss: 0.5469 (0.5635) loss_rec_all: 0.5788 (0.5947) loss_rec_sfr: 0.7400 (0.7264) loss_cl: -0.3637 (-0.3631) time: 0.8602 data: 0.0002 max mem: 29859 [04:00:18.631756] Epoch: [3] [300/850] eta: 0:07:59 lr: 0.000201 loss: 0.5457 (0.5626) loss_rec_all: 0.5773 (0.5938) loss_rec_sfr: 0.7427 (0.7249) loss_cl: -0.3649 (-0.3632) time: 0.8595 data: 0.0002 max mem: 29859 [04:00:35.910536] Epoch: [3] [320/850] eta: 0:07:41 lr: 0.000203 loss: 0.5555 (0.5626) loss_rec_all: 0.5875 (0.5939) loss_rec_sfr: 0.7311 (0.7242) loss_cl: -0.3635 (-0.3632) time: 0.8639 data: 0.0002 max mem: 29859 [04:00:53.151567] Epoch: [3] [340/850] eta: 0:07:24 lr: 0.000204 loss: 0.5534 (0.5624) loss_rec_all: 0.5851 (0.5937) loss_rec_sfr: 0.7334 (0.7239) loss_cl: -0.3631 (-0.3632) time: 0.8620 data: 0.0002 max mem: 29859 [04:01:10.425910] Epoch: [3] [360/850] eta: 0:07:06 lr: 0.000205 loss: 0.5417 (0.5615) loss_rec_all: 0.5735 (0.5928) loss_rec_sfr: 0.6612 (0.7220) loss_cl: -0.3640 (-0.3632) time: 0.8637 data: 0.0002 max mem: 29859 [04:01:27.645831] Epoch: [3] [380/850] eta: 0:06:48 lr: 0.000207 loss: 0.5450 (0.5611) loss_rec_all: 0.5768 (0.5924) loss_rec_sfr: 0.7336 (0.7213) loss_cl: -0.3630 (-0.3632) time: 0.8609 data: 0.0002 max mem: 29859 [04:01:44.872362] Epoch: [3] [400/850] eta: 0:06:31 lr: 0.000208 loss: 0.5413 (0.5602) loss_rec_all: 0.5723 (0.5914) loss_rec_sfr: 0.7379 (0.7206) loss_cl: -0.3626 (-0.3631) time: 0.8613 data: 0.0002 max mem: 29859 [04:02:02.077897] Epoch: [3] [420/850] eta: 0:06:13 lr: 0.000209 loss: 0.5431 (0.5596) loss_rec_all: 0.5744 (0.5909) loss_rec_sfr: 0.7448 (0.7201) loss_cl: -0.3669 (-0.3633) time: 0.8602 data: 0.0002 max mem: 29859 [04:02:19.330554] Epoch: [3] [440/850] eta: 0:05:56 lr: 0.000211 loss: 0.5392 (0.5590) loss_rec_all: 0.5702 (0.5903) loss_rec_sfr: 0.7412 (0.7204) loss_cl: -0.3631 (-0.3632) time: 0.8626 data: 0.0002 max mem: 29859 [04:02:36.560945] Epoch: [3] [460/850] eta: 0:05:38 lr: 0.000212 loss: 0.5340 (0.5582) loss_rec_all: 0.5653 (0.5895) loss_rec_sfr: 0.7327 (0.7196) loss_cl: -0.3626 (-0.3632) time: 0.8615 data: 0.0002 max mem: 29859 [04:02:53.844845] Epoch: [3] [480/850] eta: 0:05:21 lr: 0.000214 loss: 0.5301 (0.5572) loss_rec_all: 0.5618 (0.5885) loss_rec_sfr: 0.7146 (0.7183) loss_cl: -0.3621 (-0.3632) time: 0.8641 data: 0.0002 max mem: 29859 [04:03:11.026320] Epoch: [3] [500/850] eta: 0:05:03 lr: 0.000215 loss: 0.5350 (0.5564) loss_rec_all: 0.5671 (0.5877) loss_rec_sfr: 0.7375 (0.7182) loss_cl: -0.3649 (-0.3632) time: 0.8590 data: 0.0002 max mem: 29859 [04:03:28.292224] Epoch: [3] [520/850] eta: 0:04:46 lr: 0.000217 loss: 0.5355 (0.5559) loss_rec_all: 0.5671 (0.5872) loss_rec_sfr: 0.7297 (0.7175) loss_cl: -0.3655 (-0.3633) time: 0.8632 data: 0.0002 max mem: 29859 [04:03:45.497624] Epoch: [3] [540/850] eta: 0:04:28 lr: 0.000218 loss: 0.5311 (0.5552) loss_rec_all: 0.5623 (0.5865) loss_rec_sfr: 0.7349 (0.7171) loss_cl: -0.3631 (-0.3633) time: 0.8602 data: 0.0002 max mem: 29859 [04:04:02.735969] Epoch: [3] [560/850] eta: 0:04:11 lr: 0.000220 loss: 0.5240 (0.5544) loss_rec_all: 0.5552 (0.5857) loss_rec_sfr: 0.7282 (0.7169) loss_cl: -0.3635 (-0.3633) time: 0.8619 data: 0.0002 max mem: 29859 [04:04:19.947611] Epoch: [3] [580/850] eta: 0:03:54 lr: 0.000221 loss: 0.5283 (0.5537) loss_rec_all: 0.5596 (0.5850) loss_rec_sfr: 0.7344 (0.7166) loss_cl: -0.3651 (-0.3633) time: 0.8605 data: 0.0002 max mem: 29859 [04:04:37.182611] Epoch: [3] [600/850] eta: 0:03:36 lr: 0.000222 loss: 0.5297 (0.5533) loss_rec_all: 0.5608 (0.5846) loss_rec_sfr: 0.7437 (0.7164) loss_cl: -0.3644 (-0.3633) time: 0.8617 data: 0.0002 max mem: 29859 [04:04:54.398248] Epoch: [3] [620/850] eta: 0:03:19 lr: 0.000223 loss: 0.5361 (0.5530) loss_rec_all: 0.5671 (0.5843) loss_rec_sfr: 0.7572 (0.7173) loss_cl: -0.3631 (-0.3633) time: 0.8607 data: 0.0002 max mem: 29859 [04:05:11.631183] Epoch: [3] [640/850] eta: 0:03:01 lr: 0.000225 loss: 0.5331 (0.5527) loss_rec_all: 0.5643 (0.5840) loss_rec_sfr: 0.7464 (0.7177) loss_cl: -0.3633 (-0.3633) time: 0.8616 data: 0.0002 max mem: 29859 [04:05:28.850839] Epoch: [3] [660/850] eta: 0:02:44 lr: 0.000226 loss: 0.5304 (0.5525) loss_rec_all: 0.5625 (0.5838) loss_rec_sfr: 0.7593 (0.7180) loss_cl: -0.3642 (-0.3633) time: 0.8609 data: 0.0002 max mem: 29859 [04:05:46.083933] Epoch: [3] [680/850] eta: 0:02:27 lr: 0.000228 loss: 0.5236 (0.5521) loss_rec_all: 0.5549 (0.5833) loss_rec_sfr: 0.7442 (0.7186) loss_cl: -0.3624 (-0.3632) time: 0.8616 data: 0.0002 max mem: 29859 [04:06:03.286369] Epoch: [3] [700/850] eta: 0:02:09 lr: 0.000229 loss: 0.5241 (0.5513) loss_rec_all: 0.5554 (0.5826) loss_rec_sfr: 0.7429 (0.7184) loss_cl: -0.3648 (-0.3633) time: 0.8601 data: 0.0002 max mem: 29859 [04:06:20.539442] Epoch: [3] [720/850] eta: 0:01:52 lr: 0.000231 loss: 0.5120 (0.5503) loss_rec_all: 0.5435 (0.5816) loss_rec_sfr: 0.7185 (0.7178) loss_cl: -0.3653 (-0.3633) time: 0.8626 data: 0.0002 max mem: 29859 [04:06:37.754218] Epoch: [3] [740/850] eta: 0:01:35 lr: 0.000232 loss: 0.5195 (0.5496) loss_rec_all: 0.5505 (0.5809) loss_rec_sfr: 0.7200 (0.7170) loss_cl: -0.3644 (-0.3633) time: 0.8607 data: 0.0002 max mem: 29859 [04:06:55.030144] Epoch: [3] [760/850] eta: 0:01:17 lr: 0.000234 loss: 0.5279 (0.5492) loss_rec_all: 0.5595 (0.5806) loss_rec_sfr: 0.7269 (0.7166) loss_cl: -0.3637 (-0.3633) time: 0.8637 data: 0.0002 max mem: 29859 [04:07:12.216570] Epoch: [3] [780/850] eta: 0:01:00 lr: 0.000235 loss: 0.5371 (0.5490) loss_rec_all: 0.5684 (0.5803) loss_rec_sfr: 0.7314 (0.7168) loss_cl: -0.3651 (-0.3634) time: 0.8593 data: 0.0002 max mem: 29859 [04:07:29.460505] Epoch: [3] [800/850] eta: 0:00:43 lr: 0.000236 loss: 0.5209 (0.5486) loss_rec_all: 0.5532 (0.5799) loss_rec_sfr: 0.7294 (0.7162) loss_cl: -0.3646 (-0.3634) time: 0.8621 data: 0.0002 max mem: 29859 [04:07:46.646455] Epoch: [3] [820/850] eta: 0:00:25 lr: 0.000238 loss: 0.5190 (0.5481) loss_rec_all: 0.5504 (0.5794) loss_rec_sfr: 0.7222 (0.7158) loss_cl: -0.3640 (-0.3634) time: 0.8592 data: 0.0002 max mem: 29859 [04:08:03.918510] Epoch: [3] [840/850] eta: 0:00:08 lr: 0.000239 loss: 0.5166 (0.5476) loss_rec_all: 0.5487 (0.5790) loss_rec_sfr: 0.7314 (0.7156) loss_cl: -0.3637 (-0.3634) time: 0.8635 data: 0.0005 max mem: 29859 [04:08:11.695101] Epoch: [3] [849/850] eta: 0:00:00 lr: 0.000240 loss: 0.5166 (0.5474) loss_rec_all: 0.5487 (0.5788) loss_rec_sfr: 0.7278 (0.7152) loss_cl: -0.3639 (-0.3634) time: 0.8646 data: 0.0005 max mem: 29859 [04:08:11.842693] Epoch: [3] Total time: 0:12:15 (0.8655 s / it) [04:08:11.845155] Averaged stats: lr: 0.000240 loss: 0.5166 (0.5476) loss_rec_all: 0.5487 (0.5790) loss_rec_sfr: 0.7278 (0.7117) loss_cl: -0.3639 (-0.3632) [04:08:11.857603] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [04:08:16.122293] Epoch: [4] [ 0/850] eta: 1:00:24 lr: 0.000240 loss: 0.5170 (0.5170) loss_rec_all: 0.5479 (0.5479) loss_rec_sfr: 0.7786 (0.7786) loss_cl: -0.3630 (-0.3630) time: 4.2639 data: 3.2393 max mem: 29859 [04:08:33.324335] Epoch: [4] [ 20/850] eta: 0:14:08 lr: 0.000241 loss: 0.5169 (0.5238) loss_rec_all: 0.5494 (0.5554) loss_rec_sfr: 0.7134 (0.6985) loss_cl: -0.3647 (-0.3641) time: 0.8600 data: 0.0002 max mem: 29859 [04:08:50.555007] Epoch: [4] [ 40/850] eta: 0:12:44 lr: 0.000243 loss: 0.5103 (0.5225) loss_rec_all: 0.5419 (0.5541) loss_rec_sfr: 0.7149 (0.6967) loss_cl: -0.3647 (-0.3645) time: 0.8615 data: 0.0002 max mem: 29859 [04:09:07.805181] Epoch: [4] [ 60/850] eta: 0:12:04 lr: 0.000244 loss: 0.5114 (0.5218) loss_rec_all: 0.5430 (0.5533) loss_rec_sfr: 0.7147 (0.6949) loss_cl: -0.3623 (-0.3637) time: 0.8625 data: 0.0002 max mem: 29859 [04:09:25.032282] Epoch: [4] [ 80/850] eta: 0:11:35 lr: 0.000246 loss: 0.5010 (0.5180) loss_rec_all: 0.5322 (0.5495) loss_rec_sfr: 0.7195 (0.6923) loss_cl: -0.3633 (-0.3636) time: 0.8613 data: 0.0002 max mem: 29859 [04:09:42.279563] Epoch: [4] [100/850] eta: 0:11:11 lr: 0.000247 loss: 0.5106 (0.5177) loss_rec_all: 0.5428 (0.5492) loss_rec_sfr: 0.7138 (0.6902) loss_cl: -0.3637 (-0.3636) time: 0.8623 data: 0.0002 max mem: 29859 [04:09:59.524391] Epoch: [4] [120/850] eta: 0:10:49 lr: 0.000248 loss: 0.5101 (0.5169) loss_rec_all: 0.5415 (0.5484) loss_rec_sfr: 0.7285 (0.6940) loss_cl: -0.3642 (-0.3637) time: 0.8622 data: 0.0002 max mem: 29859 [04:10:16.719168] Epoch: [4] [140/850] eta: 0:10:28 lr: 0.000250 loss: 0.5056 (0.5158) loss_rec_all: 0.5378 (0.5474) loss_rec_sfr: 0.7110 (0.6921) loss_cl: -0.3657 (-0.3640) time: 0.8597 data: 0.0002 max mem: 29859 [04:10:34.015318] Epoch: [4] [160/850] eta: 0:10:09 lr: 0.000251 loss: 0.5059 (0.5161) loss_rec_all: 0.5378 (0.5476) loss_rec_sfr: 0.7005 (0.6901) loss_cl: -0.3629 (-0.3639) time: 0.8648 data: 0.0002 max mem: 29859 [04:10:51.213316] Epoch: [4] [180/850] eta: 0:09:49 lr: 0.000252 loss: 0.5067 (0.5162) loss_rec_all: 0.5378 (0.5477) loss_rec_sfr: 0.7370 (0.6916) loss_cl: -0.3629 (-0.3637) time: 0.8598 data: 0.0002 max mem: 29859 [04:11:08.512538] Epoch: [4] [200/850] eta: 0:09:31 lr: 0.000254 loss: 0.5047 (0.5156) loss_rec_all: 0.5362 (0.5472) loss_rec_sfr: 0.7220 (0.6940) loss_cl: -0.3650 (-0.3639) time: 0.8649 data: 0.0002 max mem: 29859 [04:11:25.866328] Epoch: [4] [220/850] eta: 0:09:13 lr: 0.000255 loss: 0.5044 (0.5160) loss_rec_all: 0.5365 (0.5475) loss_rec_sfr: 0.7114 (0.6925) loss_cl: -0.3630 (-0.3637) time: 0.8676 data: 0.0003 max mem: 29859 [04:11:43.089920] Epoch: [4] [240/850] eta: 0:08:54 lr: 0.000257 loss: 0.5007 (0.5147) loss_rec_all: 0.5325 (0.5462) loss_rec_sfr: 0.7071 (0.6920) loss_cl: -0.3632 (-0.3636) time: 0.8611 data: 0.0002 max mem: 29859 [04:12:00.287092] Epoch: [4] [260/850] eta: 0:08:36 lr: 0.000258 loss: 0.4930 (0.5135) loss_rec_all: 0.5249 (0.5451) loss_rec_sfr: 0.6081 (0.6880) loss_cl: -0.3638 (-0.3637) time: 0.8598 data: 0.0002 max mem: 29859 [04:12:17.678585] Epoch: [4] [280/850] eta: 0:08:18 lr: 0.000260 loss: 0.4939 (0.5126) loss_rec_all: 0.5265 (0.5442) loss_rec_sfr: 0.7079 (0.6874) loss_cl: -0.3665 (-0.3639) time: 0.8695 data: 0.0003 max mem: 29859 [04:12:34.875266] Epoch: [4] [300/850] eta: 0:08:00 lr: 0.000261 loss: 0.5009 (0.5128) loss_rec_all: 0.5323 (0.5444) loss_rec_sfr: 0.7086 (0.6875) loss_cl: -0.3647 (-0.3639) time: 0.8598 data: 0.0002 max mem: 29859 [04:12:52.126380] Epoch: [4] [320/850] eta: 0:07:42 lr: 0.000263 loss: 0.5031 (0.5126) loss_rec_all: 0.5346 (0.5442) loss_rec_sfr: 0.7098 (0.6872) loss_cl: -0.3639 (-0.3638) time: 0.8625 data: 0.0003 max mem: 29859 [04:13:09.451092] Epoch: [4] [340/850] eta: 0:07:25 lr: 0.000264 loss: 0.4943 (0.5122) loss_rec_all: 0.5258 (0.5438) loss_rec_sfr: 0.7112 (0.6876) loss_cl: -0.3644 (-0.3638) time: 0.8662 data: 0.0003 max mem: 29859 [04:13:26.713796] Epoch: [4] [360/850] eta: 0:07:07 lr: 0.000265 loss: 0.4901 (0.5115) loss_rec_all: 0.5225 (0.5430) loss_rec_sfr: 0.7038 (0.6868) loss_cl: -0.3626 (-0.3638) time: 0.8631 data: 0.0002 max mem: 29859 [04:13:43.897024] Epoch: [4] [380/850] eta: 0:06:49 lr: 0.000267 loss: 0.4878 (0.5107) loss_rec_all: 0.5200 (0.5423) loss_rec_sfr: 0.6932 (0.6858) loss_cl: -0.3636 (-0.3637) time: 0.8591 data: 0.0002 max mem: 29859 [04:14:01.285896] Epoch: [4] [400/850] eta: 0:06:32 lr: 0.000268 loss: 0.4851 (0.5098) loss_rec_all: 0.5172 (0.5414) loss_rec_sfr: 0.6938 (0.6845) loss_cl: -0.3652 (-0.3638) time: 0.8694 data: 0.0003 max mem: 29859 [04:14:18.499465] Epoch: [4] [420/850] eta: 0:06:14 lr: 0.000269 loss: 0.4908 (0.5089) loss_rec_all: 0.5228 (0.5405) loss_rec_sfr: 0.7263 (0.6852) loss_cl: -0.3659 (-0.3639) time: 0.8606 data: 0.0002 max mem: 29859 [04:14:35.724812] Epoch: [4] [440/850] eta: 0:05:56 lr: 0.000271 loss: 0.4857 (0.5081) loss_rec_all: 0.5184 (0.5397) loss_rec_sfr: 0.6194 (0.6835) loss_cl: -0.3639 (-0.3638) time: 0.8612 data: 0.0002 max mem: 29859 [04:14:53.010753] Epoch: [4] [460/850] eta: 0:05:39 lr: 0.000272 loss: 0.4855 (0.5075) loss_rec_all: 0.5166 (0.5392) loss_rec_sfr: 0.6920 (0.6832) loss_cl: -0.3658 (-0.3639) time: 0.8642 data: 0.0003 max mem: 29859 [04:15:10.321725] Epoch: [4] [480/850] eta: 0:05:21 lr: 0.000274 loss: 0.4903 (0.5069) loss_rec_all: 0.5221 (0.5385) loss_rec_sfr: 0.7039 (0.6829) loss_cl: -0.3632 (-0.3639) time: 0.8655 data: 0.0002 max mem: 29859 [04:15:27.545647] Epoch: [4] [500/850] eta: 0:05:04 lr: 0.000275 loss: 0.4891 (0.5065) loss_rec_all: 0.5205 (0.5381) loss_rec_sfr: 0.7089 (0.6825) loss_cl: -0.3619 (-0.3638) time: 0.8611 data: 0.0002 max mem: 29859 [04:15:44.874644] Epoch: [4] [520/850] eta: 0:04:46 lr: 0.000277 loss: 0.4932 (0.5065) loss_rec_all: 0.5253 (0.5381) loss_rec_sfr: 0.7010 (0.6823) loss_cl: -0.3662 (-0.3639) time: 0.8664 data: 0.0003 max mem: 29859 [04:16:02.132847] Epoch: [4] [540/850] eta: 0:04:29 lr: 0.000278 loss: 0.4846 (0.5061) loss_rec_all: 0.5160 (0.5377) loss_rec_sfr: 0.7001 (0.6822) loss_cl: -0.3642 (-0.3639) time: 0.8629 data: 0.0002 max mem: 29859 [04:16:19.365581] Epoch: [4] [560/850] eta: 0:04:11 lr: 0.000280 loss: 0.4835 (0.5055) loss_rec_all: 0.5152 (0.5371) loss_rec_sfr: 0.6936 (0.6820) loss_cl: -0.3629 (-0.3638) time: 0.8616 data: 0.0002 max mem: 29859 [04:16:36.623815] Epoch: [4] [580/850] eta: 0:03:54 lr: 0.000281 loss: 0.4855 (0.5052) loss_rec_all: 0.5167 (0.5368) loss_rec_sfr: 0.6968 (0.6815) loss_cl: -0.3637 (-0.3638) time: 0.8628 data: 0.0002 max mem: 29859 [04:16:53.925177] Epoch: [4] [600/850] eta: 0:03:37 lr: 0.000282 loss: 0.4776 (0.5045) loss_rec_all: 0.5095 (0.5361) loss_rec_sfr: 0.6924 (0.6810) loss_cl: -0.3641 (-0.3638) time: 0.8650 data: 0.0002 max mem: 29859 [04:17:11.124844] Epoch: [4] [620/850] eta: 0:03:19 lr: 0.000283 loss: 0.4908 (0.5044) loss_rec_all: 0.5235 (0.5360) loss_rec_sfr: 0.6761 (0.6801) loss_cl: -0.3656 (-0.3638) time: 0.8599 data: 0.0002 max mem: 29859 [04:17:28.436480] Epoch: [4] [640/850] eta: 0:03:02 lr: 0.000285 loss: 0.4861 (0.5039) loss_rec_all: 0.5170 (0.5356) loss_rec_sfr: 0.7063 (0.6800) loss_cl: -0.3643 (-0.3638) time: 0.8655 data: 0.0003 max mem: 29859 [04:17:45.700831] Epoch: [4] [660/850] eta: 0:02:44 lr: 0.000286 loss: 0.4810 (0.5034) loss_rec_all: 0.5121 (0.5351) loss_rec_sfr: 0.6770 (0.6792) loss_cl: -0.3654 (-0.3639) time: 0.8632 data: 0.0003 max mem: 29859 [04:18:02.903994] Epoch: [4] [680/850] eta: 0:02:27 lr: 0.000288 loss: 0.4804 (0.5031) loss_rec_all: 0.5124 (0.5347) loss_rec_sfr: 0.6964 (0.6791) loss_cl: -0.3635 (-0.3639) time: 0.8601 data: 0.0002 max mem: 29859 [04:18:20.113499] Epoch: [4] [700/850] eta: 0:02:10 lr: 0.000289 loss: 0.4867 (0.5031) loss_rec_all: 0.5186 (0.5347) loss_rec_sfr: 0.6916 (0.6791) loss_cl: -0.3618 (-0.3638) time: 0.8604 data: 0.0002 max mem: 29859 [04:18:37.431049] Epoch: [4] [720/850] eta: 0:01:52 lr: 0.000291 loss: 0.4805 (0.5025) loss_rec_all: 0.5118 (0.5342) loss_rec_sfr: 0.7084 (0.6788) loss_cl: -0.3628 (-0.3638) time: 0.8658 data: 0.0003 max mem: 29859 [04:18:54.612367] Epoch: [4] [740/850] eta: 0:01:35 lr: 0.000292 loss: 0.4729 (0.5022) loss_rec_all: 0.5054 (0.5338) loss_rec_sfr: 0.7105 (0.6784) loss_cl: -0.3658 (-0.3638) time: 0.8590 data: 0.0002 max mem: 29859 [04:19:11.859384] Epoch: [4] [760/850] eta: 0:01:18 lr: 0.000294 loss: 0.4749 (0.5016) loss_rec_all: 0.5064 (0.5332) loss_rec_sfr: 0.6963 (0.6783) loss_cl: -0.3637 (-0.3638) time: 0.8623 data: 0.0002 max mem: 29859 [04:19:29.159609] Epoch: [4] [780/850] eta: 0:01:00 lr: 0.000295 loss: 0.4725 (0.5012) loss_rec_all: 0.5039 (0.5329) loss_rec_sfr: 0.7058 (0.6783) loss_cl: -0.3614 (-0.3638) time: 0.8650 data: 0.0002 max mem: 29859 [04:19:46.391485] Epoch: [4] [800/850] eta: 0:00:43 lr: 0.000296 loss: 0.4854 (0.5010) loss_rec_all: 0.5177 (0.5327) loss_rec_sfr: 0.6950 (0.6778) loss_cl: -0.3638 (-0.3638) time: 0.8615 data: 0.0002 max mem: 29859 [04:20:03.599375] Epoch: [4] [820/850] eta: 0:00:26 lr: 0.000298 loss: 0.4712 (0.5005) loss_rec_all: 0.5030 (0.5321) loss_rec_sfr: 0.6764 (0.6773) loss_cl: -0.3648 (-0.3638) time: 0.8603 data: 0.0002 max mem: 29859 [04:20:20.942969] Epoch: [4] [840/850] eta: 0:00:08 lr: 0.000299 loss: 0.4689 (0.4999) loss_rec_all: 0.5008 (0.5316) loss_rec_sfr: 0.6858 (0.6770) loss_cl: -0.3649 (-0.3638) time: 0.8671 data: 0.0008 max mem: 29859 [04:20:28.690638] Epoch: [4] [849/850] eta: 0:00:00 lr: 0.000300 loss: 0.4689 (0.4997) loss_rec_all: 0.5005 (0.5313) loss_rec_sfr: 0.6900 (0.6768) loss_cl: -0.3639 (-0.3638) time: 0.8635 data: 0.0007 max mem: 29859 [04:20:28.823074] Epoch: [4] Total time: 0:12:16 (0.8670 s / it) [04:20:28.841495] Averaged stats: lr: 0.000300 loss: 0.4689 (0.4992) loss_rec_all: 0.5005 (0.5308) loss_rec_sfr: 0.6900 (0.6756) loss_cl: -0.3639 (-0.3638) [04:20:28.847777] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [04:20:33.095834] Epoch: [5] [ 0/850] eta: 1:00:10 lr: 0.000300 loss: 0.4745 (0.4745) loss_rec_all: 0.5058 (0.5058) loss_rec_sfr: 0.7100 (0.7100) loss_cl: -0.3619 (-0.3619) time: 4.2473 data: 3.3933 max mem: 29859 [04:20:50.273488] Epoch: [5] [ 20/850] eta: 0:14:06 lr: 0.000301 loss: 0.4692 (0.4747) loss_rec_all: 0.5014 (0.5063) loss_rec_sfr: 0.6942 (0.6526) loss_cl: -0.3617 (-0.3616) time: 0.8588 data: 0.0002 max mem: 29859 [04:21:07.588488] Epoch: [5] [ 40/850] eta: 0:12:45 lr: 0.000303 loss: 0.4720 (0.4765) loss_rec_all: 0.5036 (0.5082) loss_rec_sfr: 0.6869 (0.6500) loss_cl: -0.3649 (-0.3631) time: 0.8657 data: 0.0003 max mem: 29859 [04:21:24.802558] Epoch: [5] [ 60/850] eta: 0:12:04 lr: 0.000304 loss: 0.4655 (0.4733) loss_rec_all: 0.4968 (0.5050) loss_rec_sfr: 0.6891 (0.6540) loss_cl: -0.3639 (-0.3633) time: 0.8607 data: 0.0002 max mem: 29859 [04:21:42.032587] Epoch: [5] [ 80/850] eta: 0:11:35 lr: 0.000306 loss: 0.4623 (0.4728) loss_rec_all: 0.4946 (0.5046) loss_rec_sfr: 0.5903 (0.6436) loss_cl: -0.3641 (-0.3635) time: 0.8614 data: 0.0002 max mem: 29859 [04:21:59.317124] Epoch: [5] [100/850] eta: 0:11:11 lr: 0.000307 loss: 0.4589 (0.4717) loss_rec_all: 0.4910 (0.5036) loss_rec_sfr: 0.6741 (0.6423) loss_cl: -0.3634 (-0.3633) time: 0.8642 data: 0.0002 max mem: 29859 [04:22:16.615090] Epoch: [5] [120/850] eta: 0:10:50 lr: 0.000308 loss: 0.4679 (0.4721) loss_rec_all: 0.4994 (0.5038) loss_rec_sfr: 0.6853 (0.6426) loss_cl: -0.3604 (-0.3628) time: 0.8648 data: 0.0002 max mem: 29859 [04:22:33.808024] Epoch: [5] [140/850] eta: 0:10:29 lr: 0.000310 loss: 0.4600 (0.4715) loss_rec_all: 0.4924 (0.5033) loss_rec_sfr: 0.6854 (0.6444) loss_cl: -0.3658 (-0.3632) time: 0.8596 data: 0.0002 max mem: 29859 [04:22:51.153822] Epoch: [5] [160/850] eta: 0:10:09 lr: 0.000311 loss: 0.4597 (0.4704) loss_rec_all: 0.4917 (0.5022) loss_rec_sfr: 0.6872 (0.6455) loss_cl: -0.3667 (-0.3636) time: 0.8672 data: 0.0002 max mem: 29859 [04:23:08.379555] Epoch: [5] [180/850] eta: 0:09:50 lr: 0.000312 loss: 0.4645 (0.4713) loss_rec_all: 0.4962 (0.5032) loss_rec_sfr: 0.5832 (0.6421) loss_cl: -0.3637 (-0.3636) time: 0.8612 data: 0.0002 max mem: 29859 [04:23:25.601924] Epoch: [5] [200/850] eta: 0:09:31 lr: 0.000314 loss: 0.4616 (0.4705) loss_rec_all: 0.4932 (0.5024) loss_rec_sfr: 0.6064 (0.6415) loss_cl: -0.3645 (-0.3636) time: 0.8611 data: 0.0002 max mem: 29859 [04:23:42.867997] Epoch: [5] [220/850] eta: 0:09:13 lr: 0.000315 loss: 0.4698 (0.4714) loss_rec_all: 0.5012 (0.5032) loss_rec_sfr: 0.6832 (0.6431) loss_cl: -0.3616 (-0.3635) time: 0.8632 data: 0.0003 max mem: 29859 [04:24:00.176925] Epoch: [5] [240/850] eta: 0:08:54 lr: 0.000317 loss: 0.4676 (0.4722) loss_rec_all: 0.5005 (0.5041) loss_rec_sfr: 0.5997 (0.6424) loss_cl: -0.3655 (-0.3636) time: 0.8654 data: 0.0002 max mem: 29859 [04:24:17.366172] Epoch: [5] [260/850] eta: 0:08:36 lr: 0.000318 loss: 0.4625 (0.4720) loss_rec_all: 0.4942 (0.5039) loss_rec_sfr: 0.6720 (0.6420) loss_cl: -0.3640 (-0.3636) time: 0.8594 data: 0.0002 max mem: 29859 [04:24:34.705129] Epoch: [5] [280/850] eta: 0:08:18 lr: 0.000320 loss: 0.4618 (0.4720) loss_rec_all: 0.4932 (0.5038) loss_rec_sfr: 0.6921 (0.6440) loss_cl: -0.3632 (-0.3636) time: 0.8669 data: 0.0004 max mem: 29859 [04:24:51.940385] Epoch: [5] [300/850] eta: 0:08:00 lr: 0.000321 loss: 0.4541 (0.4716) loss_rec_all: 0.4857 (0.5035) loss_rec_sfr: 0.6718 (0.6443) loss_cl: -0.3618 (-0.3635) time: 0.8617 data: 0.0002 max mem: 29859 [04:25:09.173050] Epoch: [5] [320/850] eta: 0:07:42 lr: 0.000323 loss: 0.4557 (0.4713) loss_rec_all: 0.4871 (0.5031) loss_rec_sfr: 0.6618 (0.6442) loss_cl: -0.3625 (-0.3634) time: 0.8616 data: 0.0002 max mem: 29859 [04:25:26.418588] Epoch: [5] [340/850] eta: 0:07:25 lr: 0.000324 loss: 0.4512 (0.4706) loss_rec_all: 0.4828 (0.5024) loss_rec_sfr: 0.6869 (0.6448) loss_cl: -0.3654 (-0.3635) time: 0.8622 data: 0.0002 max mem: 29859 [04:25:43.705388] Epoch: [5] [360/850] eta: 0:07:07 lr: 0.000325 loss: 0.4736 (0.4710) loss_rec_all: 0.5053 (0.5029) loss_rec_sfr: 0.6697 (0.6451) loss_cl: -0.3645 (-0.3636) time: 0.8643 data: 0.0002 max mem: 29859 [04:26:00.898820] Epoch: [5] [380/850] eta: 0:06:49 lr: 0.000327 loss: 0.4773 (0.4716) loss_rec_all: 0.5086 (0.5034) loss_rec_sfr: 0.6898 (0.6462) loss_cl: -0.3626 (-0.3635) time: 0.8596 data: 0.0002 max mem: 29859 [04:26:18.195805] Epoch: [5] [400/850] eta: 0:06:32 lr: 0.000328 loss: 0.4614 (0.4714) loss_rec_all: 0.4927 (0.5032) loss_rec_sfr: 0.6845 (0.6470) loss_cl: -0.3640 (-0.3635) time: 0.8648 data: 0.0002 max mem: 29859 [04:26:35.442818] Epoch: [5] [420/850] eta: 0:06:14 lr: 0.000329 loss: 0.4544 (0.4709) loss_rec_all: 0.4861 (0.5027) loss_rec_sfr: 0.6335 (0.6461) loss_cl: -0.3639 (-0.3635) time: 0.8623 data: 0.0003 max mem: 29859 [04:26:52.664157] Epoch: [5] [440/850] eta: 0:05:56 lr: 0.000331 loss: 0.4548 (0.4705) loss_rec_all: 0.4875 (0.5024) loss_rec_sfr: 0.6613 (0.6460) loss_cl: -0.3640 (-0.3636) time: 0.8610 data: 0.0002 max mem: 29859 [04:27:09.901761] Epoch: [5] [460/850] eta: 0:05:39 lr: 0.000332 loss: 0.4454 (0.4698) loss_rec_all: 0.4773 (0.5017) loss_rec_sfr: 0.5836 (0.6443) loss_cl: -0.3660 (-0.3636) time: 0.8618 data: 0.0002 max mem: 29859 [04:27:27.255778] Epoch: [5] [480/850] eta: 0:05:21 lr: 0.000334 loss: 0.4512 (0.4691) loss_rec_all: 0.4839 (0.5010) loss_rec_sfr: 0.6547 (0.6440) loss_cl: -0.3637 (-0.3636) time: 0.8676 data: 0.0003 max mem: 29859 [04:27:44.446997] Epoch: [5] [500/850] eta: 0:05:04 lr: 0.000335 loss: 0.4610 (0.4693) loss_rec_all: 0.4925 (0.5011) loss_rec_sfr: 0.6729 (0.6443) loss_cl: -0.3635 (-0.3636) time: 0.8595 data: 0.0002 max mem: 29859 [04:28:01.706383] Epoch: [5] [520/850] eta: 0:04:46 lr: 0.000337 loss: 0.4609 (0.4691) loss_rec_all: 0.4931 (0.5010) loss_rec_sfr: 0.6550 (0.6440) loss_cl: -0.3632 (-0.3636) time: 0.8629 data: 0.0002 max mem: 29859 [04:28:19.012835] Epoch: [5] [540/850] eta: 0:04:29 lr: 0.000338 loss: 0.4545 (0.4689) loss_rec_all: 0.4860 (0.5008) loss_rec_sfr: 0.6568 (0.6436) loss_cl: -0.3630 (-0.3636) time: 0.8653 data: 0.0003 max mem: 29859 [04:28:36.235841] Epoch: [5] [560/850] eta: 0:04:11 lr: 0.000340 loss: 0.4462 (0.4681) loss_rec_all: 0.4791 (0.5000) loss_rec_sfr: 0.6640 (0.6434) loss_cl: -0.3644 (-0.3636) time: 0.8611 data: 0.0002 max mem: 29859 [04:28:53.439162] Epoch: [5] [580/850] eta: 0:03:54 lr: 0.000341 loss: 0.4392 (0.4675) loss_rec_all: 0.4714 (0.4994) loss_rec_sfr: 0.6467 (0.6424) loss_cl: -0.3635 (-0.3636) time: 0.8601 data: 0.0002 max mem: 29859 [04:29:10.791117] Epoch: [5] [600/850] eta: 0:03:37 lr: 0.000342 loss: 0.4414 (0.4671) loss_rec_all: 0.4736 (0.4989) loss_rec_sfr: 0.6576 (0.6423) loss_cl: -0.3643 (-0.3636) time: 0.8675 data: 0.0003 max mem: 29859 [04:29:27.986266] Epoch: [5] [620/850] eta: 0:03:19 lr: 0.000343 loss: 0.4462 (0.4666) loss_rec_all: 0.4777 (0.4985) loss_rec_sfr: 0.6734 (0.6429) loss_cl: -0.3633 (-0.3636) time: 0.8597 data: 0.0002 max mem: 29859 [04:29:45.244342] Epoch: [5] [640/850] eta: 0:03:02 lr: 0.000345 loss: 0.4454 (0.4665) loss_rec_all: 0.4767 (0.4983) loss_rec_sfr: 0.6609 (0.6425) loss_cl: -0.3642 (-0.3636) time: 0.8629 data: 0.0002 max mem: 29859 [04:30:02.584023] Epoch: [5] [660/850] eta: 0:02:44 lr: 0.000346 loss: 0.4490 (0.4662) loss_rec_all: 0.4818 (0.4981) loss_rec_sfr: 0.6620 (0.6423) loss_cl: -0.3642 (-0.3636) time: 0.8669 data: 0.0003 max mem: 29859 [04:30:19.818177] Epoch: [5] [680/850] eta: 0:02:27 lr: 0.000348 loss: 0.4482 (0.4662) loss_rec_all: 0.4798 (0.4981) loss_rec_sfr: 0.6657 (0.6419) loss_cl: -0.3629 (-0.3636) time: 0.8617 data: 0.0002 max mem: 29859 [04:30:37.013030] Epoch: [5] [700/850] eta: 0:02:10 lr: 0.000349 loss: 0.4399 (0.4658) loss_rec_all: 0.4721 (0.4976) loss_rec_sfr: 0.6558 (0.6413) loss_cl: -0.3631 (-0.3636) time: 0.8597 data: 0.0002 max mem: 29859 [04:30:54.369235] Epoch: [5] [720/850] eta: 0:01:52 lr: 0.000351 loss: 0.4413 (0.4653) loss_rec_all: 0.4744 (0.4972) loss_rec_sfr: 0.6649 (0.6413) loss_cl: -0.3640 (-0.3636) time: 0.8678 data: 0.0002 max mem: 29859 [04:31:11.581379] Epoch: [5] [740/850] eta: 0:01:35 lr: 0.000352 loss: 0.4411 (0.4648) loss_rec_all: 0.4727 (0.4967) loss_rec_sfr: 0.6327 (0.6403) loss_cl: -0.3631 (-0.3636) time: 0.8606 data: 0.0002 max mem: 29859 [04:31:28.816146] Epoch: [5] [760/850] eta: 0:01:18 lr: 0.000354 loss: 0.4355 (0.4644) loss_rec_all: 0.4673 (0.4962) loss_rec_sfr: 0.6324 (0.6393) loss_cl: -0.3650 (-0.3636) time: 0.8617 data: 0.0002 max mem: 29859 [04:31:46.094002] Epoch: [5] [780/850] eta: 0:01:00 lr: 0.000355 loss: 0.4450 (0.4640) loss_rec_all: 0.4774 (0.4959) loss_rec_sfr: 0.6577 (0.6394) loss_cl: -0.3635 (-0.3636) time: 0.8638 data: 0.0003 max mem: 29859 [04:32:03.410558] Epoch: [5] [800/850] eta: 0:00:43 lr: 0.000356 loss: 0.4423 (0.4636) loss_rec_all: 0.4751 (0.4955) loss_rec_sfr: 0.6568 (0.6393) loss_cl: -0.3649 (-0.3636) time: 0.8658 data: 0.0002 max mem: 29859 [04:32:20.596833] Epoch: [5] [820/850] eta: 0:00:26 lr: 0.000358 loss: 0.4499 (0.4635) loss_rec_all: 0.4823 (0.4954) loss_rec_sfr: 0.6713 (0.6394) loss_cl: -0.3653 (-0.3636) time: 0.8593 data: 0.0002 max mem: 29859 [04:32:37.974287] Epoch: [5] [840/850] eta: 0:00:08 lr: 0.000359 loss: 0.4478 (0.4632) loss_rec_all: 0.4808 (0.4951) loss_rec_sfr: 0.6687 (0.6394) loss_cl: -0.3627 (-0.3636) time: 0.8688 data: 0.0011 max mem: 29859 [04:32:45.715131] Epoch: [5] [849/850] eta: 0:00:00 lr: 0.000360 loss: 0.4422 (0.4630) loss_rec_all: 0.4743 (0.4948) loss_rec_sfr: 0.6604 (0.6390) loss_cl: -0.3622 (-0.3636) time: 0.8672 data: 0.0006 max mem: 29859 [04:32:45.865308] Epoch: [5] Total time: 0:12:17 (0.8671 s / it) [04:32:45.867270] Averaged stats: lr: 0.000360 loss: 0.4422 (0.4628) loss_rec_all: 0.4743 (0.4947) loss_rec_sfr: 0.6604 (0.6425) loss_cl: -0.3622 (-0.3637) [04:32:45.872414] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [04:32:50.174320] Epoch: [6] [ 0/850] eta: 1:00:56 lr: 0.000360 loss: 0.4333 (0.4333) loss_rec_all: 0.4664 (0.4664) loss_rec_sfr: 0.4962 (0.4962) loss_cl: -0.3652 (-0.3652) time: 4.3012 data: 3.4498 max mem: 29859 [04:33:07.343230] Epoch: [6] [ 20/850] eta: 0:14:08 lr: 0.000361 loss: 0.4411 (0.4572) loss_rec_all: 0.4738 (0.4893) loss_rec_sfr: 0.6705 (0.6443) loss_cl: -0.3657 (-0.3654) time: 0.8584 data: 0.0002 max mem: 29859 [04:33:24.584454] Epoch: [6] [ 40/850] eta: 0:12:44 lr: 0.000363 loss: 0.4435 (0.4526) loss_rec_all: 0.4753 (0.4846) loss_rec_sfr: 0.6659 (0.6447) loss_cl: -0.3644 (-0.3649) time: 0.8620 data: 0.0002 max mem: 29859 [04:33:41.784321] Epoch: [6] [ 60/850] eta: 0:12:04 lr: 0.000364 loss: 0.4318 (0.4497) loss_rec_all: 0.4631 (0.4816) loss_rec_sfr: 0.6618 (0.6434) loss_cl: -0.3614 (-0.3638) time: 0.8599 data: 0.0002 max mem: 29859 [04:33:59.007133] Epoch: [6] [ 80/850] eta: 0:11:35 lr: 0.000366 loss: 0.4315 (0.4484) loss_rec_all: 0.4630 (0.4803) loss_rec_sfr: 0.6554 (0.6418) loss_cl: -0.3621 (-0.3634) time: 0.8611 data: 0.0001 max mem: 29859 [04:34:16.222847] Epoch: [6] [100/850] eta: 0:11:10 lr: 0.000367 loss: 0.4315 (0.4466) loss_rec_all: 0.4630 (0.4784) loss_rec_sfr: 0.6530 (0.6423) loss_cl: -0.3638 (-0.3635) time: 0.8607 data: 0.0002 max mem: 29859 [04:34:33.456213] Epoch: [6] [120/850] eta: 0:10:49 lr: 0.000368 loss: 0.4317 (0.4444) loss_rec_all: 0.4644 (0.4764) loss_rec_sfr: 0.6359 (0.6368) loss_cl: -0.3651 (-0.3637) time: 0.8616 data: 0.0002 max mem: 29859 [04:34:50.675347] Epoch: [6] [140/850] eta: 0:10:28 lr: 0.000370 loss: 0.4288 (0.4429) loss_rec_all: 0.4604 (0.4749) loss_rec_sfr: 0.6239 (0.6319) loss_cl: -0.3623 (-0.3636) time: 0.8609 data: 0.0002 max mem: 29859 [04:35:07.912948] Epoch: [6] [160/850] eta: 0:10:08 lr: 0.000371 loss: 0.4283 (0.4421) loss_rec_all: 0.4601 (0.4740) loss_rec_sfr: 0.6403 (0.6291) loss_cl: -0.3639 (-0.3636) time: 0.8618 data: 0.0002 max mem: 29859 [04:35:25.118762] Epoch: [6] [180/850] eta: 0:09:49 lr: 0.000372 loss: 0.4265 (0.4413) loss_rec_all: 0.4589 (0.4733) loss_rec_sfr: 0.6386 (0.6253) loss_cl: -0.3652 (-0.3638) time: 0.8602 data: 0.0002 max mem: 29859 [04:35:42.372598] Epoch: [6] [200/850] eta: 0:09:30 lr: 0.000374 loss: 0.4248 (0.4407) loss_rec_all: 0.4569 (0.4727) loss_rec_sfr: 0.6470 (0.6249) loss_cl: -0.3642 (-0.3639) time: 0.8626 data: 0.0002 max mem: 29859 [04:35:59.559402] Epoch: [6] [220/850] eta: 0:09:12 lr: 0.000375 loss: 0.4341 (0.4409) loss_rec_all: 0.4658 (0.4729) loss_rec_sfr: 0.6368 (0.6223) loss_cl: -0.3619 (-0.3637) time: 0.8593 data: 0.0002 max mem: 29859 [04:36:16.806469] Epoch: [6] [240/850] eta: 0:08:53 lr: 0.000377 loss: 0.4353 (0.4411) loss_rec_all: 0.4666 (0.4731) loss_rec_sfr: 0.6489 (0.6220) loss_cl: -0.3622 (-0.3636) time: 0.8623 data: 0.0002 max mem: 29859 [04:36:33.987506] Epoch: [6] [260/850] eta: 0:08:35 lr: 0.000378 loss: 0.4180 (0.4399) loss_rec_all: 0.4494 (0.4719) loss_rec_sfr: 0.6354 (0.6202) loss_cl: -0.3631 (-0.3635) time: 0.8590 data: 0.0002 max mem: 29859 [04:36:51.235203] Epoch: [6] [280/850] eta: 0:08:17 lr: 0.000380 loss: 0.4200 (0.4393) loss_rec_all: 0.4516 (0.4713) loss_rec_sfr: 0.6287 (0.6191) loss_cl: -0.3643 (-0.3635) time: 0.8623 data: 0.0002 max mem: 29859 [04:37:08.457830] Epoch: [6] [300/850] eta: 0:07:59 lr: 0.000381 loss: 0.4250 (0.4390) loss_rec_all: 0.4565 (0.4710) loss_rec_sfr: 0.6292 (0.6185) loss_cl: -0.3632 (-0.3635) time: 0.8611 data: 0.0002 max mem: 29859 [04:37:25.685608] Epoch: [6] [320/850] eta: 0:07:41 lr: 0.000383 loss: 0.4362 (0.4392) loss_rec_all: 0.4688 (0.4712) loss_rec_sfr: 0.5441 (0.6162) loss_cl: -0.3642 (-0.3635) time: 0.8613 data: 0.0002 max mem: 29859 [04:37:42.919183] Epoch: [6] [340/850] eta: 0:07:24 lr: 0.000384 loss: 0.4277 (0.4386) loss_rec_all: 0.4596 (0.4707) loss_rec_sfr: 0.6154 (0.6145) loss_cl: -0.3651 (-0.3636) time: 0.8616 data: 0.0002 max mem: 29859 [04:38:00.163471] Epoch: [6] [360/850] eta: 0:07:06 lr: 0.000385 loss: 0.4288 (0.4384) loss_rec_all: 0.4616 (0.4704) loss_rec_sfr: 0.6594 (0.6155) loss_cl: -0.3662 (-0.3637) time: 0.8621 data: 0.0002 max mem: 29859 [04:38:17.396709] Epoch: [6] [380/850] eta: 0:06:48 lr: 0.000387 loss: 0.4282 (0.4382) loss_rec_all: 0.4600 (0.4702) loss_rec_sfr: 0.6396 (0.6158) loss_cl: -0.3652 (-0.3638) time: 0.8616 data: 0.0002 max mem: 29859 [04:38:34.621579] Epoch: [6] [400/850] eta: 0:06:31 lr: 0.000388 loss: 0.4202 (0.4375) loss_rec_all: 0.4521 (0.4696) loss_rec_sfr: 0.6328 (0.6144) loss_cl: -0.3655 (-0.3639) time: 0.8612 data: 0.0002 max mem: 29859 [04:38:51.810221] Epoch: [6] [420/850] eta: 0:06:13 lr: 0.000389 loss: 0.4173 (0.4367) loss_rec_all: 0.4501 (0.4688) loss_rec_sfr: 0.5317 (0.6127) loss_cl: -0.3631 (-0.3639) time: 0.8594 data: 0.0002 max mem: 29859 [04:39:09.064923] Epoch: [6] [440/850] eta: 0:05:56 lr: 0.000391 loss: 0.4199 (0.4362) loss_rec_all: 0.4523 (0.4683) loss_rec_sfr: 0.6339 (0.6122) loss_cl: -0.3660 (-0.3640) time: 0.8627 data: 0.0002 max mem: 29859 [04:39:26.245707] Epoch: [6] [460/850] eta: 0:05:38 lr: 0.000392 loss: 0.4238 (0.4359) loss_rec_all: 0.4559 (0.4680) loss_rec_sfr: 0.6262 (0.6121) loss_cl: -0.3651 (-0.3640) time: 0.8590 data: 0.0002 max mem: 29859 [04:39:43.491686] Epoch: [6] [480/850] eta: 0:05:21 lr: 0.000394 loss: 0.4286 (0.4356) loss_rec_all: 0.4609 (0.4677) loss_rec_sfr: 0.6326 (0.6114) loss_cl: -0.3628 (-0.3640) time: 0.8622 data: 0.0002 max mem: 29859 [04:40:00.690733] Epoch: [6] [500/850] eta: 0:05:03 lr: 0.000395 loss: 0.4213 (0.4354) loss_rec_all: 0.4533 (0.4675) loss_rec_sfr: 0.6426 (0.6112) loss_cl: -0.3653 (-0.3640) time: 0.8599 data: 0.0002 max mem: 29859 [04:40:17.956049] Epoch: [6] [520/850] eta: 0:04:46 lr: 0.000397 loss: 0.4131 (0.4350) loss_rec_all: 0.4454 (0.4671) loss_rec_sfr: 0.6190 (0.6106) loss_cl: -0.3645 (-0.3640) time: 0.8632 data: 0.0002 max mem: 29859 [04:40:35.146315] Epoch: [6] [540/850] eta: 0:04:28 lr: 0.000398 loss: 0.4117 (0.4344) loss_rec_all: 0.4441 (0.4665) loss_rec_sfr: 0.6226 (0.6099) loss_cl: -0.3626 (-0.3639) time: 0.8595 data: 0.0002 max mem: 29859 [04:40:52.379496] Epoch: [6] [560/850] eta: 0:04:11 lr: 0.000400 loss: 0.4156 (0.4339) loss_rec_all: 0.4482 (0.4660) loss_rec_sfr: 0.6442 (0.6102) loss_cl: -0.3656 (-0.3640) time: 0.8616 data: 0.0002 max mem: 29859 [04:41:09.595423] Epoch: [6] [580/850] eta: 0:03:54 lr: 0.000401 loss: 0.4070 (0.4334) loss_rec_all: 0.4389 (0.4656) loss_rec_sfr: 0.6325 (0.6097) loss_cl: -0.3650 (-0.3640) time: 0.8607 data: 0.0002 max mem: 29859 [04:41:26.813862] Epoch: [6] [600/850] eta: 0:03:36 lr: 0.000402 loss: 0.4126 (0.4331) loss_rec_all: 0.4455 (0.4652) loss_rec_sfr: 0.4973 (0.6078) loss_cl: -0.3629 (-0.3639) time: 0.8608 data: 0.0002 max mem: 29859 [04:41:44.038102] Epoch: [6] [620/850] eta: 0:03:19 lr: 0.000403 loss: 0.4387 (0.4334) loss_rec_all: 0.4704 (0.4655) loss_rec_sfr: 0.6568 (0.6086) loss_cl: -0.3628 (-0.3639) time: 0.8612 data: 0.0002 max mem: 29859 [04:42:01.260387] Epoch: [6] [640/850] eta: 0:03:01 lr: 0.000405 loss: 0.4294 (0.4336) loss_rec_all: 0.4623 (0.4657) loss_rec_sfr: 0.6210 (0.6083) loss_cl: -0.3639 (-0.3638) time: 0.8610 data: 0.0002 max mem: 29859 [04:42:18.440953] Epoch: [6] [660/850] eta: 0:02:44 lr: 0.000406 loss: 0.4197 (0.4332) loss_rec_all: 0.4527 (0.4654) loss_rec_sfr: 0.6267 (0.6078) loss_cl: -0.3650 (-0.3639) time: 0.8590 data: 0.0002 max mem: 29859 [04:42:35.693893] Epoch: [6] [680/850] eta: 0:02:27 lr: 0.000408 loss: 0.4142 (0.4327) loss_rec_all: 0.4467 (0.4648) loss_rec_sfr: 0.5406 (0.6064) loss_cl: -0.3631 (-0.3638) time: 0.8626 data: 0.0002 max mem: 29859 [04:42:52.874217] Epoch: [6] [700/850] eta: 0:02:09 lr: 0.000409 loss: 0.4108 (0.4324) loss_rec_all: 0.4423 (0.4645) loss_rec_sfr: 0.6233 (0.6065) loss_cl: -0.3620 (-0.3638) time: 0.8590 data: 0.0002 max mem: 29859 [04:43:10.149192] Epoch: [6] [720/850] eta: 0:01:52 lr: 0.000411 loss: 0.4086 (0.4319) loss_rec_all: 0.4409 (0.4640) loss_rec_sfr: 0.6086 (0.6057) loss_cl: -0.3646 (-0.3638) time: 0.8637 data: 0.0002 max mem: 29859 [04:43:27.336219] Epoch: [6] [740/850] eta: 0:01:35 lr: 0.000412 loss: 0.4129 (0.4315) loss_rec_all: 0.4454 (0.4636) loss_rec_sfr: 0.6270 (0.6051) loss_cl: -0.3635 (-0.3638) time: 0.8593 data: 0.0002 max mem: 29859 [04:43:44.586383] Epoch: [6] [760/850] eta: 0:01:17 lr: 0.000414 loss: 0.4183 (0.4313) loss_rec_all: 0.4496 (0.4634) loss_rec_sfr: 0.6380 (0.6055) loss_cl: -0.3608 (-0.3637) time: 0.8624 data: 0.0002 max mem: 29859 [04:44:01.793356] Epoch: [6] [780/850] eta: 0:01:00 lr: 0.000415 loss: 0.4137 (0.4311) loss_rec_all: 0.4459 (0.4632) loss_rec_sfr: 0.6034 (0.6052) loss_cl: -0.3621 (-0.3637) time: 0.8603 data: 0.0002 max mem: 29859 [04:44:19.010969] Epoch: [6] [800/850] eta: 0:00:43 lr: 0.000416 loss: 0.4139 (0.4308) loss_rec_all: 0.4460 (0.4629) loss_rec_sfr: 0.6305 (0.6054) loss_cl: -0.3658 (-0.3637) time: 0.8608 data: 0.0002 max mem: 29859 [04:44:36.206658] Epoch: [6] [820/850] eta: 0:00:25 lr: 0.000418 loss: 0.3972 (0.4303) loss_rec_all: 0.4295 (0.4624) loss_rec_sfr: 0.6271 (0.6051) loss_cl: -0.3660 (-0.3638) time: 0.8597 data: 0.0002 max mem: 29859 [04:44:53.423800] Epoch: [6] [840/850] eta: 0:00:08 lr: 0.000419 loss: 0.4022 (0.4298) loss_rec_all: 0.4343 (0.4620) loss_rec_sfr: 0.6156 (0.6051) loss_cl: -0.3645 (-0.3638) time: 0.8608 data: 0.0005 max mem: 29859 [04:45:01.164315] Epoch: [6] [849/850] eta: 0:00:00 lr: 0.000420 loss: 0.3980 (0.4295) loss_rec_all: 0.4311 (0.4617) loss_rec_sfr: 0.6083 (0.6046) loss_cl: -0.3645 (-0.3638) time: 0.8612 data: 0.0004 max mem: 29859 [04:45:01.310595] Epoch: [6] Total time: 0:12:15 (0.8652 s / it) [04:45:01.315713] Averaged stats: lr: 0.000420 loss: 0.3980 (0.4299) loss_rec_all: 0.4311 (0.4620) loss_rec_sfr: 0.6083 (0.6022) loss_cl: -0.3645 (-0.3636) [04:45:01.334166] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [04:45:05.647174] Epoch: [7] [ 0/850] eta: 1:01:05 lr: 0.000420 loss: 0.3920 (0.3920) loss_rec_all: 0.4240 (0.4240) loss_rec_sfr: 0.6385 (0.6385) loss_cl: -0.3645 (-0.3645) time: 4.3122 data: 2.9999 max mem: 29859 [04:45:22.818808] Epoch: [7] [ 20/850] eta: 0:14:09 lr: 0.000421 loss: 0.4023 (0.4040) loss_rec_all: 0.4343 (0.4363) loss_rec_sfr: 0.6043 (0.5862) loss_cl: -0.3636 (-0.3635) time: 0.8585 data: 0.0002 max mem: 29859 [04:45:40.028137] Epoch: [7] [ 40/850] eta: 0:12:44 lr: 0.000423 loss: 0.4045 (0.4068) loss_rec_all: 0.4362 (0.4389) loss_rec_sfr: 0.6201 (0.5968) loss_cl: -0.3621 (-0.3629) time: 0.8604 data: 0.0002 max mem: 29859 [04:45:57.263110] Epoch: [7] [ 60/850] eta: 0:12:04 lr: 0.000424 loss: 0.4071 (0.4098) loss_rec_all: 0.4405 (0.4421) loss_rec_sfr: 0.6026 (0.5890) loss_cl: -0.3658 (-0.3637) time: 0.8617 data: 0.0002 max mem: 29859 [04:46:14.484406] Epoch: [7] [ 80/850] eta: 0:11:35 lr: 0.000426 loss: 0.3920 (0.4068) loss_rec_all: 0.4242 (0.4392) loss_rec_sfr: 0.5044 (0.5798) loss_cl: -0.3654 (-0.3641) time: 0.8610 data: 0.0002 max mem: 29859 [04:46:31.721622] Epoch: [7] [100/850] eta: 0:11:11 lr: 0.000427 loss: 0.3899 (0.4049) loss_rec_all: 0.4224 (0.4373) loss_rec_sfr: 0.5994 (0.5756) loss_cl: -0.3658 (-0.3644) time: 0.8618 data: 0.0002 max mem: 29859 [04:46:49.018877] Epoch: [7] [120/850] eta: 0:10:49 lr: 0.000428 loss: 0.3914 (0.4040) loss_rec_all: 0.4241 (0.4364) loss_rec_sfr: 0.6009 (0.5731) loss_cl: -0.3648 (-0.3645) time: 0.8648 data: 0.0002 max mem: 29859 [04:47:06.214390] Epoch: [7] [140/850] eta: 0:10:28 lr: 0.000430 loss: 0.4100 (0.4052) loss_rec_all: 0.4421 (0.4377) loss_rec_sfr: 0.5460 (0.5722) loss_cl: -0.3647 (-0.3644) time: 0.8597 data: 0.0002 max mem: 29859 [04:47:23.482096] Epoch: [7] [160/850] eta: 0:10:09 lr: 0.000431 loss: 0.4108 (0.4065) loss_rec_all: 0.4425 (0.4388) loss_rec_sfr: 0.6554 (0.5801) loss_cl: -0.3651 (-0.3644) time: 0.8633 data: 0.0002 max mem: 29859 [04:47:40.670140] Epoch: [7] [180/850] eta: 0:09:49 lr: 0.000432 loss: 0.4072 (0.4067) loss_rec_all: 0.4397 (0.4391) loss_rec_sfr: 0.6252 (0.5831) loss_cl: -0.3661 (-0.3646) time: 0.8594 data: 0.0002 max mem: 29859 [04:47:57.920943] Epoch: [7] [200/850] eta: 0:09:31 lr: 0.000434 loss: 0.3997 (0.4060) loss_rec_all: 0.4317 (0.4384) loss_rec_sfr: 0.6075 (0.5821) loss_cl: -0.3654 (-0.3646) time: 0.8625 data: 0.0001 max mem: 29859 [04:48:15.140617] Epoch: [7] [220/850] eta: 0:09:12 lr: 0.000435 loss: 0.4026 (0.4061) loss_rec_all: 0.4351 (0.4385) loss_rec_sfr: 0.6245 (0.5827) loss_cl: -0.3648 (-0.3646) time: 0.8609 data: 0.0002 max mem: 29859 [04:48:32.364944] Epoch: [7] [240/850] eta: 0:08:54 lr: 0.000437 loss: 0.3927 (0.4057) loss_rec_all: 0.4258 (0.4381) loss_rec_sfr: 0.4980 (0.5800) loss_cl: -0.3642 (-0.3645) time: 0.8612 data: 0.0002 max mem: 29859 [04:48:49.650631] Epoch: [7] [260/850] eta: 0:08:36 lr: 0.000438 loss: 0.3882 (0.4048) loss_rec_all: 0.4200 (0.4372) loss_rec_sfr: 0.4959 (0.5776) loss_cl: -0.3637 (-0.3644) time: 0.8642 data: 0.0002 max mem: 29859 [04:49:06.873419] Epoch: [7] [280/850] eta: 0:08:18 lr: 0.000440 loss: 0.3971 (0.4046) loss_rec_all: 0.4294 (0.4370) loss_rec_sfr: 0.6169 (0.5789) loss_cl: -0.3648 (-0.3645) time: 0.8611 data: 0.0002 max mem: 29859 [04:49:24.088273] Epoch: [7] [300/850] eta: 0:08:00 lr: 0.000441 loss: 0.4026 (0.4047) loss_rec_all: 0.4346 (0.4371) loss_rec_sfr: 0.6247 (0.5800) loss_cl: -0.3649 (-0.3645) time: 0.8606 data: 0.0002 max mem: 29859 [04:49:41.438880] Epoch: [7] [320/850] eta: 0:07:42 lr: 0.000443 loss: 0.3945 (0.4043) loss_rec_all: 0.4275 (0.4367) loss_rec_sfr: 0.5197 (0.5784) loss_cl: -0.3647 (-0.3645) time: 0.8675 data: 0.0003 max mem: 29859 [04:49:58.635493] Epoch: [7] [340/850] eta: 0:07:24 lr: 0.000444 loss: 0.3977 (0.4040) loss_rec_all: 0.4298 (0.4364) loss_rec_sfr: 0.5028 (0.5768) loss_cl: -0.3651 (-0.3645) time: 0.8598 data: 0.0002 max mem: 29859 [04:50:15.925238] Epoch: [7] [360/850] eta: 0:07:06 lr: 0.000445 loss: 0.3963 (0.4045) loss_rec_all: 0.4286 (0.4369) loss_rec_sfr: 0.6108 (0.5779) loss_cl: -0.3643 (-0.3645) time: 0.8644 data: 0.0002 max mem: 29859 [04:50:33.115827] Epoch: [7] [380/850] eta: 0:06:49 lr: 0.000447 loss: 0.3990 (0.4044) loss_rec_all: 0.4324 (0.4368) loss_rec_sfr: 0.5891 (0.5769) loss_cl: -0.3652 (-0.3645) time: 0.8595 data: 0.0002 max mem: 29859 [04:50:50.357479] Epoch: [7] [400/850] eta: 0:06:31 lr: 0.000448 loss: 0.4062 (0.4049) loss_rec_all: 0.4384 (0.4373) loss_rec_sfr: 0.6158 (0.5777) loss_cl: -0.3648 (-0.3644) time: 0.8620 data: 0.0002 max mem: 29859 [04:51:07.556339] Epoch: [7] [420/850] eta: 0:06:14 lr: 0.000449 loss: 0.3932 (0.4045) loss_rec_all: 0.4258 (0.4369) loss_rec_sfr: 0.4818 (0.5757) loss_cl: -0.3633 (-0.3644) time: 0.8599 data: 0.0002 max mem: 29859 [04:51:24.781153] Epoch: [7] [440/850] eta: 0:05:56 lr: 0.000451 loss: 0.3884 (0.4040) loss_rec_all: 0.4207 (0.4364) loss_rec_sfr: 0.5967 (0.5750) loss_cl: -0.3640 (-0.3644) time: 0.8612 data: 0.0002 max mem: 29859 [04:51:42.013260] Epoch: [7] [460/850] eta: 0:05:38 lr: 0.000452 loss: 0.3985 (0.4037) loss_rec_all: 0.4307 (0.4361) loss_rec_sfr: 0.6092 (0.5747) loss_cl: -0.3646 (-0.3644) time: 0.8616 data: 0.0002 max mem: 29859 [04:51:59.244967] Epoch: [7] [480/850] eta: 0:05:21 lr: 0.000454 loss: 0.3830 (0.4033) loss_rec_all: 0.4160 (0.4358) loss_rec_sfr: 0.5794 (0.5738) loss_cl: -0.3637 (-0.3644) time: 0.8615 data: 0.0002 max mem: 29859 [04:52:16.476089] Epoch: [7] [500/850] eta: 0:05:03 lr: 0.000455 loss: 0.3852 (0.4029) loss_rec_all: 0.4175 (0.4353) loss_rec_sfr: 0.5839 (0.5731) loss_cl: -0.3649 (-0.3644) time: 0.8615 data: 0.0002 max mem: 29859 [04:52:33.740481] Epoch: [7] [520/850] eta: 0:04:46 lr: 0.000457 loss: 0.3939 (0.4028) loss_rec_all: 0.4259 (0.4352) loss_rec_sfr: 0.6163 (0.5738) loss_cl: -0.3647 (-0.3644) time: 0.8632 data: 0.0002 max mem: 29859 [04:52:50.932907] Epoch: [7] [540/850] eta: 0:04:29 lr: 0.000458 loss: 0.3924 (0.4025) loss_rec_all: 0.4254 (0.4349) loss_rec_sfr: 0.6254 (0.5742) loss_cl: -0.3637 (-0.3644) time: 0.8596 data: 0.0002 max mem: 29859 [04:53:08.194741] Epoch: [7] [560/850] eta: 0:04:11 lr: 0.000460 loss: 0.3829 (0.4019) loss_rec_all: 0.4160 (0.4343) loss_rec_sfr: 0.4687 (0.5725) loss_cl: -0.3650 (-0.3644) time: 0.8630 data: 0.0002 max mem: 29859 [04:53:25.386243] Epoch: [7] [580/850] eta: 0:03:54 lr: 0.000461 loss: 0.3833 (0.4016) loss_rec_all: 0.4167 (0.4341) loss_rec_sfr: 0.5832 (0.5719) loss_cl: -0.3643 (-0.3644) time: 0.8595 data: 0.0001 max mem: 29859 [04:53:42.642061] Epoch: [7] [600/850] eta: 0:03:36 lr: 0.000462 loss: 0.3758 (0.4010) loss_rec_all: 0.4080 (0.4335) loss_rec_sfr: 0.5796 (0.5712) loss_cl: -0.3637 (-0.3643) time: 0.8627 data: 0.0002 max mem: 29859 [04:53:59.844566] Epoch: [7] [620/850] eta: 0:03:19 lr: 0.000463 loss: 0.3797 (0.4006) loss_rec_all: 0.4120 (0.4330) loss_rec_sfr: 0.5753 (0.5705) loss_cl: -0.3647 (-0.3643) time: 0.8601 data: 0.0002 max mem: 29859 [04:54:17.082162] Epoch: [7] [640/850] eta: 0:03:02 lr: 0.000465 loss: 0.3772 (0.4000) loss_rec_all: 0.4093 (0.4325) loss_rec_sfr: 0.5881 (0.5701) loss_cl: -0.3655 (-0.3644) time: 0.8618 data: 0.0002 max mem: 29859 [04:54:34.332896] Epoch: [7] [660/850] eta: 0:02:44 lr: 0.000466 loss: 0.3835 (0.3997) loss_rec_all: 0.4158 (0.4321) loss_rec_sfr: 0.5874 (0.5703) loss_cl: -0.3650 (-0.3644) time: 0.8625 data: 0.0002 max mem: 29859 [04:54:51.567708] Epoch: [7] [680/850] eta: 0:02:27 lr: 0.000468 loss: 0.3814 (0.3993) loss_rec_all: 0.4147 (0.4318) loss_rec_sfr: 0.5805 (0.5698) loss_cl: -0.3648 (-0.3644) time: 0.8616 data: 0.0002 max mem: 29859 [04:55:08.812776] Epoch: [7] [700/850] eta: 0:02:09 lr: 0.000469 loss: 0.3850 (0.3991) loss_rec_all: 0.4169 (0.4316) loss_rec_sfr: 0.5833 (0.5691) loss_cl: -0.3638 (-0.3644) time: 0.8622 data: 0.0002 max mem: 29859 [04:55:26.062092] Epoch: [7] [720/850] eta: 0:01:52 lr: 0.000471 loss: 0.3853 (0.3989) loss_rec_all: 0.4182 (0.4314) loss_rec_sfr: 0.5930 (0.5689) loss_cl: -0.3658 (-0.3644) time: 0.8624 data: 0.0002 max mem: 29859 [04:55:43.253362] Epoch: [7] [740/850] eta: 0:01:35 lr: 0.000472 loss: 0.3825 (0.3987) loss_rec_all: 0.4158 (0.4312) loss_rec_sfr: 0.5848 (0.5688) loss_cl: -0.3655 (-0.3645) time: 0.8595 data: 0.0002 max mem: 29859 [04:56:00.534953] Epoch: [7] [760/850] eta: 0:01:17 lr: 0.000474 loss: 0.3793 (0.3984) loss_rec_all: 0.4117 (0.4309) loss_rec_sfr: 0.5874 (0.5691) loss_cl: -0.3647 (-0.3645) time: 0.8640 data: 0.0002 max mem: 29859 [04:56:17.729105] Epoch: [7] [780/850] eta: 0:01:00 lr: 0.000475 loss: 0.3862 (0.3982) loss_rec_all: 0.4192 (0.4307) loss_rec_sfr: 0.5977 (0.5692) loss_cl: -0.3650 (-0.3645) time: 0.8597 data: 0.0002 max mem: 29859 [04:56:34.995071] Epoch: [7] [800/850] eta: 0:00:43 lr: 0.000476 loss: 0.3750 (0.3979) loss_rec_all: 0.4070 (0.4303) loss_rec_sfr: 0.5924 (0.5693) loss_cl: -0.3641 (-0.3645) time: 0.8632 data: 0.0002 max mem: 29859 [04:56:52.203780] Epoch: [7] [820/850] eta: 0:00:25 lr: 0.000478 loss: 0.3720 (0.3974) loss_rec_all: 0.4047 (0.4299) loss_rec_sfr: 0.5717 (0.5686) loss_cl: -0.3659 (-0.3645) time: 0.8604 data: 0.0002 max mem: 29859 [04:57:09.425900] Epoch: [7] [840/850] eta: 0:00:08 lr: 0.000479 loss: 0.3701 (0.3969) loss_rec_all: 0.4026 (0.4294) loss_rec_sfr: 0.5794 (0.5684) loss_cl: -0.3652 (-0.3645) time: 0.8610 data: 0.0005 max mem: 29859 [04:57:17.187998] Epoch: [7] [849/850] eta: 0:00:00 lr: 0.000480 loss: 0.3747 (0.3968) loss_rec_all: 0.4071 (0.4292) loss_rec_sfr: 0.5852 (0.5681) loss_cl: -0.3642 (-0.3645) time: 0.8625 data: 0.0005 max mem: 29859 [04:57:17.365746] Epoch: [7] Total time: 0:12:16 (0.8659 s / it) [04:57:17.371562] Averaged stats: lr: 0.000480 loss: 0.3747 (0.3964) loss_rec_all: 0.4071 (0.4289) loss_rec_sfr: 0.5852 (0.5658) loss_cl: -0.3642 (-0.3644) [04:57:17.393062] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [04:57:21.555825] Epoch: [8] [ 0/850] eta: 0:58:57 lr: 0.000480 loss: 0.4210 (0.4210) loss_rec_all: 0.4532 (0.4532) loss_rec_sfr: 0.5932 (0.5932) loss_cl: -0.3636 (-0.3636) time: 4.1616 data: 3.1332 max mem: 29859 [04:57:38.724611] Epoch: [8] [ 20/850] eta: 0:14:03 lr: 0.000481 loss: 0.3708 (0.3860) loss_rec_all: 0.4042 (0.4185) loss_rec_sfr: 0.5737 (0.5710) loss_cl: -0.3643 (-0.3643) time: 0.8584 data: 0.0002 max mem: 29859 [04:57:55.970168] Epoch: [8] [ 40/850] eta: 0:12:42 lr: 0.000483 loss: 0.3795 (0.3827) loss_rec_all: 0.4124 (0.4154) loss_rec_sfr: 0.4757 (0.5524) loss_cl: -0.3659 (-0.3652) time: 0.8622 data: 0.0002 max mem: 29859 [04:58:13.164991] Epoch: [8] [ 60/850] eta: 0:12:02 lr: 0.000484 loss: 0.3675 (0.3807) loss_rec_all: 0.3997 (0.4134) loss_rec_sfr: 0.5662 (0.5477) loss_cl: -0.3653 (-0.3652) time: 0.8597 data: 0.0002 max mem: 29859 [04:58:30.397735] Epoch: [8] [ 80/850] eta: 0:11:33 lr: 0.000486 loss: 0.3744 (0.3797) loss_rec_all: 0.4074 (0.4124) loss_rec_sfr: 0.5638 (0.5447) loss_cl: -0.3647 (-0.3651) time: 0.8616 data: 0.0002 max mem: 29859 [04:58:47.611978] Epoch: [8] [100/850] eta: 0:11:09 lr: 0.000487 loss: 0.3754 (0.3799) loss_rec_all: 0.4087 (0.4126) loss_rec_sfr: 0.5795 (0.5463) loss_cl: -0.3656 (-0.3651) time: 0.8607 data: 0.0002 max mem: 29859 [04:59:04.848595] Epoch: [8] [120/850] eta: 0:10:48 lr: 0.000488 loss: 0.3689 (0.3788) loss_rec_all: 0.4012 (0.4115) loss_rec_sfr: 0.5697 (0.5461) loss_cl: -0.3660 (-0.3652) time: 0.8618 data: 0.0002 max mem: 29859 [04:59:22.059653] Epoch: [8] [140/850] eta: 0:10:27 lr: 0.000490 loss: 0.3703 (0.3783) loss_rec_all: 0.4034 (0.4110) loss_rec_sfr: 0.5604 (0.5449) loss_cl: -0.3651 (-0.3651) time: 0.8605 data: 0.0002 max mem: 29859 [04:59:39.285648] Epoch: [8] [160/850] eta: 0:10:08 lr: 0.000491 loss: 0.3694 (0.3778) loss_rec_all: 0.4018 (0.4105) loss_rec_sfr: 0.5610 (0.5440) loss_cl: -0.3652 (-0.3652) time: 0.8613 data: 0.0002 max mem: 29859 [04:59:56.476451] Epoch: [8] [180/850] eta: 0:09:48 lr: 0.000492 loss: 0.3701 (0.3776) loss_rec_all: 0.4028 (0.4104) loss_rec_sfr: 0.5636 (0.5433) loss_cl: -0.3657 (-0.3652) time: 0.8595 data: 0.0002 max mem: 29859 [05:00:13.717675] Epoch: [8] [200/850] eta: 0:09:30 lr: 0.000494 loss: 0.3729 (0.3775) loss_rec_all: 0.4061 (0.4102) loss_rec_sfr: 0.5575 (0.5427) loss_cl: -0.3639 (-0.3651) time: 0.8620 data: 0.0002 max mem: 29859 [05:00:30.894072] Epoch: [8] [220/850] eta: 0:09:11 lr: 0.000495 loss: 0.3664 (0.3771) loss_rec_all: 0.3987 (0.4098) loss_rec_sfr: 0.5602 (0.5424) loss_cl: -0.3639 (-0.3650) time: 0.8588 data: 0.0002 max mem: 29859 [05:00:48.162546] Epoch: [8] [240/850] eta: 0:08:53 lr: 0.000497 loss: 0.3706 (0.3769) loss_rec_all: 0.4033 (0.4096) loss_rec_sfr: 0.5693 (0.5447) loss_cl: -0.3656 (-0.3650) time: 0.8634 data: 0.0002 max mem: 29859 [05:01:05.337455] Epoch: [8] [260/850] eta: 0:08:35 lr: 0.000498 loss: 0.3732 (0.3771) loss_rec_all: 0.4054 (0.4098) loss_rec_sfr: 0.5784 (0.5453) loss_cl: -0.3663 (-0.3651) time: 0.8587 data: 0.0002 max mem: 29859 [05:01:22.574327] Epoch: [8] [280/850] eta: 0:08:17 lr: 0.000500 loss: 0.3602 (0.3763) loss_rec_all: 0.3935 (0.4090) loss_rec_sfr: 0.5554 (0.5443) loss_cl: -0.3656 (-0.3651) time: 0.8618 data: 0.0002 max mem: 29859 [05:01:39.743490] Epoch: [8] [300/850] eta: 0:07:59 lr: 0.000501 loss: 0.3598 (0.3760) loss_rec_all: 0.3924 (0.4087) loss_rec_sfr: 0.5647 (0.5439) loss_cl: -0.3644 (-0.3651) time: 0.8584 data: 0.0002 max mem: 29859 [05:01:56.968903] Epoch: [8] [320/850] eta: 0:07:41 lr: 0.000503 loss: 0.3570 (0.3751) loss_rec_all: 0.3896 (0.4078) loss_rec_sfr: 0.4412 (0.5414) loss_cl: -0.3646 (-0.3650) time: 0.8612 data: 0.0002 max mem: 29859 [05:02:14.162733] Epoch: [8] [340/850] eta: 0:07:23 lr: 0.000504 loss: 0.3620 (0.3749) loss_rec_all: 0.3951 (0.4076) loss_rec_sfr: 0.5811 (0.5429) loss_cl: -0.3660 (-0.3651) time: 0.8596 data: 0.0002 max mem: 29859 [05:02:31.399077] Epoch: [8] [360/850] eta: 0:07:06 lr: 0.000505 loss: 0.3677 (0.3749) loss_rec_all: 0.4003 (0.4076) loss_rec_sfr: 0.4777 (0.5415) loss_cl: -0.3652 (-0.3651) time: 0.8618 data: 0.0002 max mem: 29859 [05:02:48.615759] Epoch: [8] [380/850] eta: 0:06:48 lr: 0.000507 loss: 0.3672 (0.3745) loss_rec_all: 0.3997 (0.4072) loss_rec_sfr: 0.5713 (0.5423) loss_cl: -0.3651 (-0.3651) time: 0.8608 data: 0.0002 max mem: 29859 [05:03:05.850361] Epoch: [8] [400/850] eta: 0:06:31 lr: 0.000508 loss: 0.3626 (0.3740) loss_rec_all: 0.3951 (0.4067) loss_rec_sfr: 0.5659 (0.5420) loss_cl: -0.3656 (-0.3651) time: 0.8617 data: 0.0002 max mem: 29859 [05:03:23.049382] Epoch: [8] [420/850] eta: 0:06:13 lr: 0.000509 loss: 0.3555 (0.3736) loss_rec_all: 0.3889 (0.4063) loss_rec_sfr: 0.5596 (0.5421) loss_cl: -0.3643 (-0.3651) time: 0.8599 data: 0.0002 max mem: 29859 [05:03:40.324138] Epoch: [8] [440/850] eta: 0:05:55 lr: 0.000511 loss: 0.3579 (0.3733) loss_rec_all: 0.3911 (0.4061) loss_rec_sfr: 0.5719 (0.5416) loss_cl: -0.3659 (-0.3651) time: 0.8637 data: 0.0002 max mem: 29859 [05:03:57.516508] Epoch: [8] [460/850] eta: 0:05:38 lr: 0.000512 loss: 0.3617 (0.3735) loss_rec_all: 0.3944 (0.4062) loss_rec_sfr: 0.5720 (0.5421) loss_cl: -0.3671 (-0.3652) time: 0.8596 data: 0.0002 max mem: 29859 [05:04:14.783334] Epoch: [8] [480/850] eta: 0:05:21 lr: 0.000514 loss: 0.3658 (0.3735) loss_rec_all: 0.3991 (0.4062) loss_rec_sfr: 0.5673 (0.5420) loss_cl: -0.3638 (-0.3651) time: 0.8633 data: 0.0002 max mem: 29859 [05:04:31.985464] Epoch: [8] [500/850] eta: 0:05:03 lr: 0.000515 loss: 0.3587 (0.3733) loss_rec_all: 0.3914 (0.4060) loss_rec_sfr: 0.5481 (0.5419) loss_cl: -0.3641 (-0.3650) time: 0.8600 data: 0.0002 max mem: 29859 [05:04:49.255513] Epoch: [8] [520/850] eta: 0:04:46 lr: 0.000517 loss: 0.3559 (0.3728) loss_rec_all: 0.3887 (0.4055) loss_rec_sfr: 0.5353 (0.5413) loss_cl: -0.3641 (-0.3650) time: 0.8635 data: 0.0003 max mem: 29859 [05:05:06.449912] Epoch: [8] [540/850] eta: 0:04:28 lr: 0.000518 loss: 0.3623 (0.3727) loss_rec_all: 0.3957 (0.4054) loss_rec_sfr: 0.5472 (0.5414) loss_cl: -0.3635 (-0.3649) time: 0.8597 data: 0.0002 max mem: 29859 [05:05:23.689121] Epoch: [8] [560/850] eta: 0:04:11 lr: 0.000520 loss: 0.3664 (0.3727) loss_rec_all: 0.3990 (0.4054) loss_rec_sfr: 0.5538 (0.5415) loss_cl: -0.3649 (-0.3649) time: 0.8619 data: 0.0002 max mem: 29859 [05:05:40.877887] Epoch: [8] [580/850] eta: 0:03:53 lr: 0.000521 loss: 0.3571 (0.3724) loss_rec_all: 0.3903 (0.4051) loss_rec_sfr: 0.4458 (0.5400) loss_cl: -0.3647 (-0.3649) time: 0.8594 data: 0.0002 max mem: 29859 [05:05:58.071174] Epoch: [8] [600/850] eta: 0:03:36 lr: 0.000522 loss: 0.3767 (0.3727) loss_rec_all: 0.4099 (0.4054) loss_rec_sfr: 0.5672 (0.5404) loss_cl: -0.3650 (-0.3649) time: 0.8596 data: 0.0002 max mem: 29859 [05:06:15.254336] Epoch: [8] [620/850] eta: 0:03:19 lr: 0.000523 loss: 0.3667 (0.3727) loss_rec_all: 0.3992 (0.4054) loss_rec_sfr: 0.5656 (0.5405) loss_cl: -0.3649 (-0.3649) time: 0.8591 data: 0.0002 max mem: 29859 [05:06:32.488036] Epoch: [8] [640/850] eta: 0:03:01 lr: 0.000525 loss: 0.3575 (0.3725) loss_rec_all: 0.3897 (0.4052) loss_rec_sfr: 0.5689 (0.5408) loss_cl: -0.3645 (-0.3649) time: 0.8616 data: 0.0002 max mem: 29859 [05:06:49.687414] Epoch: [8] [660/850] eta: 0:02:44 lr: 0.000526 loss: 0.3532 (0.3722) loss_rec_all: 0.3856 (0.4050) loss_rec_sfr: 0.5500 (0.5403) loss_cl: -0.3653 (-0.3649) time: 0.8599 data: 0.0002 max mem: 29859 [05:07:06.912428] Epoch: [8] [680/850] eta: 0:02:27 lr: 0.000528 loss: 0.3507 (0.3718) loss_rec_all: 0.3834 (0.4046) loss_rec_sfr: 0.5085 (0.5391) loss_cl: -0.3655 (-0.3649) time: 0.8612 data: 0.0002 max mem: 29859 [05:07:24.099703] Epoch: [8] [700/850] eta: 0:02:09 lr: 0.000529 loss: 0.3501 (0.3714) loss_rec_all: 0.3833 (0.4041) loss_rec_sfr: 0.5435 (0.5390) loss_cl: -0.3649 (-0.3649) time: 0.8593 data: 0.0002 max mem: 29859 [05:07:41.322953] Epoch: [8] [720/850] eta: 0:01:52 lr: 0.000531 loss: 0.3562 (0.3711) loss_rec_all: 0.3897 (0.4038) loss_rec_sfr: 0.5426 (0.5389) loss_cl: -0.3645 (-0.3649) time: 0.8611 data: 0.0002 max mem: 29859 [05:07:58.528856] Epoch: [8] [740/850] eta: 0:01:35 lr: 0.000532 loss: 0.3620 (0.3710) loss_rec_all: 0.3948 (0.4037) loss_rec_sfr: 0.5561 (0.5388) loss_cl: -0.3658 (-0.3649) time: 0.8602 data: 0.0002 max mem: 29859 [05:08:15.751368] Epoch: [8] [760/850] eta: 0:01:17 lr: 0.000534 loss: 0.3476 (0.3706) loss_rec_all: 0.3804 (0.4033) loss_rec_sfr: 0.5418 (0.5385) loss_cl: -0.3667 (-0.3649) time: 0.8611 data: 0.0002 max mem: 29859 [05:08:32.936208] Epoch: [8] [780/850] eta: 0:01:00 lr: 0.000535 loss: 0.3474 (0.3701) loss_rec_all: 0.3803 (0.4028) loss_rec_sfr: 0.5381 (0.5381) loss_cl: -0.3661 (-0.3650) time: 0.8592 data: 0.0002 max mem: 29859 [05:08:50.154705] Epoch: [8] [800/850] eta: 0:00:43 lr: 0.000536 loss: 0.3494 (0.3697) loss_rec_all: 0.3823 (0.4025) loss_rec_sfr: 0.5379 (0.5377) loss_cl: -0.3666 (-0.3650) time: 0.8609 data: 0.0002 max mem: 29859 [05:09:07.357007] Epoch: [8] [820/850] eta: 0:00:25 lr: 0.000538 loss: 0.3471 (0.3694) loss_rec_all: 0.3805 (0.4021) loss_rec_sfr: 0.5423 (0.5369) loss_cl: -0.3644 (-0.3650) time: 0.8601 data: 0.0002 max mem: 29859 [05:09:24.577268] Epoch: [8] [840/850] eta: 0:00:08 lr: 0.000539 loss: 0.3457 (0.3689) loss_rec_all: 0.3783 (0.4017) loss_rec_sfr: 0.4315 (0.5360) loss_cl: -0.3648 (-0.3650) time: 0.8610 data: 0.0005 max mem: 29859 [05:09:32.301826] Epoch: [8] [849/850] eta: 0:00:00 lr: 0.000540 loss: 0.3430 (0.3687) loss_rec_all: 0.3764 (0.4014) loss_rec_sfr: 0.5352 (0.5360) loss_cl: -0.3649 (-0.3650) time: 0.8604 data: 0.0004 max mem: 29859 [05:09:32.447696] Epoch: [8] Total time: 0:12:15 (0.8648 s / it) [05:09:32.464719] Averaged stats: lr: 0.000540 loss: 0.3430 (0.3690) loss_rec_all: 0.3764 (0.4017) loss_rec_sfr: 0.5352 (0.5356) loss_cl: -0.3649 (-0.3649) [05:09:32.473066] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [05:09:36.874997] Epoch: [9] [ 0/850] eta: 1:02:20 lr: 0.000540 loss: 0.3339 (0.3339) loss_rec_all: 0.3664 (0.3664) loss_rec_sfr: 0.5634 (0.5634) loss_cl: -0.3646 (-0.3646) time: 4.4011 data: 3.0802 max mem: 29859 [05:09:54.026101] Epoch: [9] [ 20/850] eta: 0:14:11 lr: 0.000541 loss: 0.3406 (0.3438) loss_rec_all: 0.3730 (0.3766) loss_rec_sfr: 0.5461 (0.5324) loss_cl: -0.3659 (-0.3658) time: 0.8575 data: 0.0002 max mem: 29859 [05:10:11.230362] Epoch: [9] [ 40/850] eta: 0:12:45 lr: 0.000543 loss: 0.3459 (0.3479) loss_rec_all: 0.3792 (0.3808) loss_rec_sfr: 0.5467 (0.5296) loss_cl: -0.3658 (-0.3658) time: 0.8602 data: 0.0002 max mem: 29859 [05:10:28.414746] Epoch: [9] [ 60/850] eta: 0:12:04 lr: 0.000544 loss: 0.3460 (0.3488) loss_rec_all: 0.3789 (0.3817) loss_rec_sfr: 0.4351 (0.5160) loss_cl: -0.3656 (-0.3658) time: 0.8592 data: 0.0002 max mem: 29859 [05:10:45.628985] Epoch: [9] [ 80/850] eta: 0:11:35 lr: 0.000546 loss: 0.3520 (0.3518) loss_rec_all: 0.3846 (0.3847) loss_rec_sfr: 0.5641 (0.5225) loss_cl: -0.3660 (-0.3658) time: 0.8607 data: 0.0002 max mem: 29859 [05:11:02.813291] Epoch: [9] [100/850] eta: 0:11:10 lr: 0.000547 loss: 0.3635 (0.3561) loss_rec_all: 0.3962 (0.3890) loss_rec_sfr: 0.5652 (0.5257) loss_cl: -0.3669 (-0.3659) time: 0.8592 data: 0.0002 max mem: 29859 [05:11:20.030996] Epoch: [9] [120/850] eta: 0:10:48 lr: 0.000548 loss: 0.3516 (0.3559) loss_rec_all: 0.3839 (0.3887) loss_rec_sfr: 0.5376 (0.5258) loss_cl: -0.3644 (-0.3656) time: 0.8608 data: 0.0002 max mem: 29859 [05:11:37.216193] Epoch: [9] [140/850] eta: 0:10:28 lr: 0.000550 loss: 0.3563 (0.3575) loss_rec_all: 0.3885 (0.3903) loss_rec_sfr: 0.5599 (0.5273) loss_cl: -0.3640 (-0.3654) time: 0.8592 data: 0.0002 max mem: 29859 [05:11:54.501067] Epoch: [9] [160/850] eta: 0:10:08 lr: 0.000551 loss: 0.3486 (0.3567) loss_rec_all: 0.3815 (0.3895) loss_rec_sfr: 0.4755 (0.5238) loss_cl: -0.3649 (-0.3653) time: 0.8642 data: 0.0002 max mem: 29859 [05:12:11.688607] Epoch: [9] [180/850] eta: 0:09:49 lr: 0.000552 loss: 0.3502 (0.3570) loss_rec_all: 0.3828 (0.3899) loss_rec_sfr: 0.5416 (0.5229) loss_cl: -0.3652 (-0.3653) time: 0.8593 data: 0.0002 max mem: 29859 [05:12:28.930331] Epoch: [9] [200/850] eta: 0:09:30 lr: 0.000554 loss: 0.3416 (0.3561) loss_rec_all: 0.3750 (0.3890) loss_rec_sfr: 0.5382 (0.5226) loss_cl: -0.3656 (-0.3653) time: 0.8620 data: 0.0002 max mem: 29859 [05:12:46.127786] Epoch: [9] [220/850] eta: 0:09:12 lr: 0.000555 loss: 0.3456 (0.3557) loss_rec_all: 0.3781 (0.3885) loss_rec_sfr: 0.5519 (0.5232) loss_cl: -0.3653 (-0.3653) time: 0.8598 data: 0.0002 max mem: 29859 [05:13:03.346649] Epoch: [9] [240/850] eta: 0:08:53 lr: 0.000557 loss: 0.3438 (0.3547) loss_rec_all: 0.3771 (0.3876) loss_rec_sfr: 0.5175 (0.5202) loss_cl: -0.3656 (-0.3653) time: 0.8609 data: 0.0002 max mem: 29859 [05:13:20.552577] Epoch: [9] [260/850] eta: 0:08:35 lr: 0.000558 loss: 0.3399 (0.3538) loss_rec_all: 0.3727 (0.3867) loss_rec_sfr: 0.5366 (0.5211) loss_cl: -0.3656 (-0.3653) time: 0.8602 data: 0.0002 max mem: 29859 [05:13:37.802606] Epoch: [9] [280/850] eta: 0:08:17 lr: 0.000560 loss: 0.3362 (0.3528) loss_rec_all: 0.3697 (0.3857) loss_rec_sfr: 0.5162 (0.5201) loss_cl: -0.3655 (-0.3653) time: 0.8625 data: 0.0002 max mem: 29859 [05:13:54.998249] Epoch: [9] [300/850] eta: 0:07:59 lr: 0.000561 loss: 0.3423 (0.3525) loss_rec_all: 0.3756 (0.3854) loss_rec_sfr: 0.5214 (0.5195) loss_cl: -0.3655 (-0.3653) time: 0.8597 data: 0.0002 max mem: 29859 [05:14:12.216492] Epoch: [9] [320/850] eta: 0:07:41 lr: 0.000563 loss: 0.3383 (0.3519) loss_rec_all: 0.3719 (0.3848) loss_rec_sfr: 0.5123 (0.5183) loss_cl: -0.3659 (-0.3654) time: 0.8609 data: 0.0002 max mem: 29859 [05:14:29.411577] Epoch: [9] [340/850] eta: 0:07:24 lr: 0.000564 loss: 0.3332 (0.3510) loss_rec_all: 0.3666 (0.3840) loss_rec_sfr: 0.4945 (0.5164) loss_cl: -0.3663 (-0.3654) time: 0.8597 data: 0.0002 max mem: 29859 [05:14:46.624202] Epoch: [9] [360/850] eta: 0:07:06 lr: 0.000565 loss: 0.3372 (0.3505) loss_rec_all: 0.3703 (0.3835) loss_rec_sfr: 0.5216 (0.5155) loss_cl: -0.3651 (-0.3654) time: 0.8606 data: 0.0002 max mem: 29859 [05:15:03.815079] Epoch: [9] [380/850] eta: 0:06:48 lr: 0.000567 loss: 0.3372 (0.3499) loss_rec_all: 0.3700 (0.3828) loss_rec_sfr: 0.4996 (0.5137) loss_cl: -0.3648 (-0.3654) time: 0.8595 data: 0.0002 max mem: 29859 [05:15:21.033998] Epoch: [9] [400/850] eta: 0:06:31 lr: 0.000568 loss: 0.3367 (0.3496) loss_rec_all: 0.3693 (0.3825) loss_rec_sfr: 0.5160 (0.5128) loss_cl: -0.3652 (-0.3654) time: 0.8609 data: 0.0002 max mem: 29859 [05:15:38.213057] Epoch: [9] [420/850] eta: 0:06:13 lr: 0.000569 loss: 0.3421 (0.3494) loss_rec_all: 0.3757 (0.3823) loss_rec_sfr: 0.5454 (0.5136) loss_cl: -0.3670 (-0.3655) time: 0.8589 data: 0.0002 max mem: 29859 [05:15:55.435621] Epoch: [9] [440/850] eta: 0:05:56 lr: 0.000571 loss: 0.3426 (0.3493) loss_rec_all: 0.3750 (0.3822) loss_rec_sfr: 0.5475 (0.5148) loss_cl: -0.3650 (-0.3654) time: 0.8611 data: 0.0002 max mem: 29859 [05:16:12.621915] Epoch: [9] [460/850] eta: 0:05:38 lr: 0.000572 loss: 0.3466 (0.3493) loss_rec_all: 0.3801 (0.3823) loss_rec_sfr: 0.4406 (0.5131) loss_cl: -0.3645 (-0.3654) time: 0.8593 data: 0.0002 max mem: 29859 [05:16:29.852267] Epoch: [9] [480/850] eta: 0:05:21 lr: 0.000574 loss: 0.3425 (0.3492) loss_rec_all: 0.3756 (0.3821) loss_rec_sfr: 0.5335 (0.5133) loss_cl: -0.3654 (-0.3654) time: 0.8615 data: 0.0002 max mem: 29859 [05:16:47.029250] Epoch: [9] [500/850] eta: 0:05:03 lr: 0.000575 loss: 0.3334 (0.3487) loss_rec_all: 0.3661 (0.3817) loss_rec_sfr: 0.5228 (0.5131) loss_cl: -0.3648 (-0.3654) time: 0.8588 data: 0.0002 max mem: 29859 [05:17:04.287527] Epoch: [9] [520/850] eta: 0:04:46 lr: 0.000577 loss: 0.3376 (0.3485) loss_rec_all: 0.3701 (0.3814) loss_rec_sfr: 0.5272 (0.5136) loss_cl: -0.3662 (-0.3654) time: 0.8629 data: 0.0002 max mem: 29859 [05:17:21.485960] Epoch: [9] [540/850] eta: 0:04:28 lr: 0.000578 loss: 0.3310 (0.3479) loss_rec_all: 0.3647 (0.3809) loss_rec_sfr: 0.4276 (0.5125) loss_cl: -0.3656 (-0.3654) time: 0.8599 data: 0.0002 max mem: 29859 [05:17:38.708924] Epoch: [9] [560/850] eta: 0:04:11 lr: 0.000580 loss: 0.3351 (0.3478) loss_rec_all: 0.3687 (0.3808) loss_rec_sfr: 0.4227 (0.5111) loss_cl: -0.3646 (-0.3654) time: 0.8611 data: 0.0002 max mem: 29859 [05:17:55.893734] Epoch: [9] [580/850] eta: 0:03:53 lr: 0.000581 loss: 0.3278 (0.3474) loss_rec_all: 0.3607 (0.3803) loss_rec_sfr: 0.5039 (0.5105) loss_cl: -0.3644 (-0.3653) time: 0.8592 data: 0.0002 max mem: 29859 [05:18:13.118472] Epoch: [9] [600/850] eta: 0:03:36 lr: 0.000582 loss: 0.3357 (0.3474) loss_rec_all: 0.3684 (0.3804) loss_rec_sfr: 0.5327 (0.5107) loss_cl: -0.3652 (-0.3653) time: 0.8612 data: 0.0002 max mem: 29859 [05:18:30.304504] Epoch: [9] [620/850] eta: 0:03:19 lr: 0.000583 loss: 0.3369 (0.3471) loss_rec_all: 0.3698 (0.3801) loss_rec_sfr: 0.5086 (0.5102) loss_cl: -0.3657 (-0.3653) time: 0.8593 data: 0.0002 max mem: 29859 [05:18:47.529269] Epoch: [9] [640/850] eta: 0:03:01 lr: 0.000585 loss: 0.3317 (0.3470) loss_rec_all: 0.3642 (0.3800) loss_rec_sfr: 0.5409 (0.5108) loss_cl: -0.3661 (-0.3654) time: 0.8612 data: 0.0002 max mem: 29859 [05:19:04.708089] Epoch: [9] [660/850] eta: 0:02:44 lr: 0.000586 loss: 0.3286 (0.3467) loss_rec_all: 0.3624 (0.3796) loss_rec_sfr: 0.4153 (0.5095) loss_cl: -0.3652 (-0.3653) time: 0.8589 data: 0.0002 max mem: 29859 [05:19:21.958854] Epoch: [9] [680/850] eta: 0:02:27 lr: 0.000588 loss: 0.3318 (0.3462) loss_rec_all: 0.3656 (0.3792) loss_rec_sfr: 0.5089 (0.5091) loss_cl: -0.3658 (-0.3654) time: 0.8625 data: 0.0002 max mem: 29859 [05:19:39.140126] Epoch: [9] [700/850] eta: 0:02:09 lr: 0.000589 loss: 0.3234 (0.3457) loss_rec_all: 0.3573 (0.3787) loss_rec_sfr: 0.4956 (0.5081) loss_cl: -0.3665 (-0.3654) time: 0.8590 data: 0.0002 max mem: 29859 [05:19:56.370662] Epoch: [9] [720/850] eta: 0:01:52 lr: 0.000591 loss: 0.3187 (0.3452) loss_rec_all: 0.3516 (0.3782) loss_rec_sfr: 0.4998 (0.5074) loss_cl: -0.3641 (-0.3654) time: 0.8615 data: 0.0002 max mem: 29859 [05:20:13.553494] Epoch: [9] [740/850] eta: 0:01:35 lr: 0.000592 loss: 0.3293 (0.3450) loss_rec_all: 0.3623 (0.3780) loss_rec_sfr: 0.4946 (0.5069) loss_cl: -0.3649 (-0.3653) time: 0.8591 data: 0.0002 max mem: 29859 [05:20:30.776625] Epoch: [9] [760/850] eta: 0:01:17 lr: 0.000594 loss: 0.3446 (0.3451) loss_rec_all: 0.3777 (0.3781) loss_rec_sfr: 0.5080 (0.5066) loss_cl: -0.3659 (-0.3654) time: 0.8611 data: 0.0002 max mem: 29859 [05:20:47.952096] Epoch: [9] [780/850] eta: 0:01:00 lr: 0.000595 loss: 0.3339 (0.3449) loss_rec_all: 0.3671 (0.3779) loss_rec_sfr: 0.5125 (0.5061) loss_cl: -0.3666 (-0.3654) time: 0.8587 data: 0.0002 max mem: 29859 [05:21:05.179157] Epoch: [9] [800/850] eta: 0:00:43 lr: 0.000596 loss: 0.3309 (0.3447) loss_rec_all: 0.3636 (0.3777) loss_rec_sfr: 0.4242 (0.5053) loss_cl: -0.3647 (-0.3654) time: 0.8613 data: 0.0002 max mem: 29859 [05:21:22.366453] Epoch: [9] [820/850] eta: 0:00:25 lr: 0.000598 loss: 0.3478 (0.3448) loss_rec_all: 0.3805 (0.3778) loss_rec_sfr: 0.4942 (0.5052) loss_cl: -0.3651 (-0.3654) time: 0.8593 data: 0.0002 max mem: 29859 [05:21:39.606352] Epoch: [9] [840/850] eta: 0:00:08 lr: 0.000599 loss: 0.3348 (0.3446) loss_rec_all: 0.3678 (0.3776) loss_rec_sfr: 0.5188 (0.5053) loss_cl: -0.3662 (-0.3654) time: 0.8619 data: 0.0004 max mem: 29859 [05:21:47.334264] Epoch: [9] [849/850] eta: 0:00:00 lr: 0.000600 loss: 0.3330 (0.3446) loss_rec_all: 0.3662 (0.3776) loss_rec_sfr: 0.5128 (0.5049) loss_cl: -0.3659 (-0.3654) time: 0.8617 data: 0.0004 max mem: 29859 [05:21:47.479348] Epoch: [9] Total time: 0:12:15 (0.8647 s / it) [05:21:47.481761] Averaged stats: lr: 0.000600 loss: 0.3330 (0.3447) loss_rec_all: 0.3662 (0.3777) loss_rec_sfr: 0.5128 (0.5062) loss_cl: -0.3659 (-0.3653) [05:21:47.493259] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [05:21:51.713980] Epoch: [10] [ 0/850] eta: 0:59:46 lr: 0.000600 loss: 0.3224 (0.3224) loss_rec_all: 0.3553 (0.3553) loss_rec_sfr: 0.4998 (0.4998) loss_cl: -0.3638 (-0.3638) time: 4.2199 data: 2.9106 max mem: 29859 [05:22:08.863109] Epoch: [10] [ 20/850] eta: 0:14:04 lr: 0.000601 loss: 0.3276 (0.3301) loss_rec_all: 0.3610 (0.3631) loss_rec_sfr: 0.5007 (0.4821) loss_cl: -0.3638 (-0.3638) time: 0.8574 data: 0.0002 max mem: 29859 [05:22:26.058751] Epoch: [10] [ 40/850] eta: 0:12:41 lr: 0.000603 loss: 0.3234 (0.3308) loss_rec_all: 0.3562 (0.3636) loss_rec_sfr: 0.5238 (0.5009) loss_cl: -0.3642 (-0.3639) time: 0.8597 data: 0.0002 max mem: 29859 [05:22:43.241709] Epoch: [10] [ 60/850] eta: 0:12:01 lr: 0.000604 loss: 0.3209 (0.3315) loss_rec_all: 0.3546 (0.3644) loss_rec_sfr: 0.5282 (0.5078) loss_cl: -0.3661 (-0.3645) time: 0.8591 data: 0.0002 max mem: 29859 [05:23:00.452685] Epoch: [10] [ 80/850] eta: 0:11:33 lr: 0.000606 loss: 0.3191 (0.3307) loss_rec_all: 0.3521 (0.3637) loss_rec_sfr: 0.5032 (0.5017) loss_cl: -0.3665 (-0.3650) time: 0.8605 data: 0.0002 max mem: 29859 [05:23:17.635367] Epoch: [10] [100/850] eta: 0:11:09 lr: 0.000607 loss: 0.3217 (0.3298) loss_rec_all: 0.3549 (0.3628) loss_rec_sfr: 0.5142 (0.5021) loss_cl: -0.3660 (-0.3652) time: 0.8591 data: 0.0002 max mem: 29859 [05:23:34.844057] Epoch: [10] [120/850] eta: 0:10:47 lr: 0.000608 loss: 0.3299 (0.3312) loss_rec_all: 0.3626 (0.3643) loss_rec_sfr: 0.5105 (0.5002) loss_cl: -0.3651 (-0.3652) time: 0.8604 data: 0.0002 max mem: 29859 [05:23:52.026351] Epoch: [10] [140/850] eta: 0:10:27 lr: 0.000610 loss: 0.3228 (0.3303) loss_rec_all: 0.3566 (0.3633) loss_rec_sfr: 0.4990 (0.4963) loss_cl: -0.3653 (-0.3652) time: 0.8591 data: 0.0002 max mem: 29859 [05:24:09.234022] Epoch: [10] [160/850] eta: 0:10:07 lr: 0.000611 loss: 0.3203 (0.3298) loss_rec_all: 0.3529 (0.3628) loss_rec_sfr: 0.5218 (0.4971) loss_cl: -0.3651 (-0.3652) time: 0.8603 data: 0.0001 max mem: 29859 [05:24:26.416519] Epoch: [10] [180/850] eta: 0:09:48 lr: 0.000612 loss: 0.3169 (0.3290) loss_rec_all: 0.3506 (0.3621) loss_rec_sfr: 0.4134 (0.4927) loss_cl: -0.3652 (-0.3652) time: 0.8591 data: 0.0002 max mem: 29859 [05:24:43.647786] Epoch: [10] [200/850] eta: 0:09:29 lr: 0.000614 loss: 0.3207 (0.3289) loss_rec_all: 0.3543 (0.3620) loss_rec_sfr: 0.5055 (0.4920) loss_cl: -0.3663 (-0.3653) time: 0.8615 data: 0.0002 max mem: 29859 [05:25:00.829803] Epoch: [10] [220/850] eta: 0:09:11 lr: 0.000615 loss: 0.3194 (0.3285) loss_rec_all: 0.3524 (0.3616) loss_rec_sfr: 0.4976 (0.4916) loss_cl: -0.3666 (-0.3654) time: 0.8591 data: 0.0002 max mem: 29859 [05:25:18.063538] Epoch: [10] [240/850] eta: 0:08:52 lr: 0.000617 loss: 0.3185 (0.3281) loss_rec_all: 0.3516 (0.3612) loss_rec_sfr: 0.5000 (0.4914) loss_cl: -0.3648 (-0.3653) time: 0.8616 data: 0.0002 max mem: 29859 [05:25:35.244885] Epoch: [10] [260/850] eta: 0:08:34 lr: 0.000618 loss: 0.3185 (0.3279) loss_rec_all: 0.3517 (0.3610) loss_rec_sfr: 0.4979 (0.4910) loss_cl: -0.3664 (-0.3654) time: 0.8590 data: 0.0002 max mem: 29859 [05:25:52.483601] Epoch: [10] [280/850] eta: 0:08:16 lr: 0.000620 loss: 0.3199 (0.3279) loss_rec_all: 0.3532 (0.3610) loss_rec_sfr: 0.4745 (0.4892) loss_cl: -0.3652 (-0.3654) time: 0.8619 data: 0.0002 max mem: 29859 [05:26:09.656842] Epoch: [10] [300/850] eta: 0:07:59 lr: 0.000621 loss: 0.3213 (0.3280) loss_rec_all: 0.3542 (0.3611) loss_rec_sfr: 0.5208 (0.4893) loss_cl: -0.3652 (-0.3653) time: 0.8586 data: 0.0002 max mem: 29859 [05:26:26.897593] Epoch: [10] [320/850] eta: 0:07:41 lr: 0.000623 loss: 0.3135 (0.3278) loss_rec_all: 0.3463 (0.3610) loss_rec_sfr: 0.4933 (0.4891) loss_cl: -0.3657 (-0.3653) time: 0.8620 data: 0.0002 max mem: 29859 [05:26:44.069638] Epoch: [10] [340/850] eta: 0:07:23 lr: 0.000624 loss: 0.3208 (0.3276) loss_rec_all: 0.3541 (0.3607) loss_rec_sfr: 0.4932 (0.4886) loss_cl: -0.3652 (-0.3654) time: 0.8586 data: 0.0002 max mem: 29859 [05:27:01.284804] Epoch: [10] [360/850] eta: 0:07:05 lr: 0.000625 loss: 0.3172 (0.3272) loss_rec_all: 0.3510 (0.3604) loss_rec_sfr: 0.5092 (0.4890) loss_cl: -0.3658 (-0.3654) time: 0.8607 data: 0.0002 max mem: 29859 [05:27:18.472010] Epoch: [10] [380/850] eta: 0:06:48 lr: 0.000627 loss: 0.3210 (0.3274) loss_rec_all: 0.3536 (0.3605) loss_rec_sfr: 0.5057 (0.4894) loss_cl: -0.3652 (-0.3654) time: 0.8593 data: 0.0002 max mem: 29859 [05:27:35.698118] Epoch: [10] [400/850] eta: 0:06:30 lr: 0.000628 loss: 0.3188 (0.3272) loss_rec_all: 0.3520 (0.3603) loss_rec_sfr: 0.4821 (0.4891) loss_cl: -0.3662 (-0.3654) time: 0.8613 data: 0.0002 max mem: 29859 [05:27:52.894304] Epoch: [10] [420/850] eta: 0:06:13 lr: 0.000629 loss: 0.3205 (0.3271) loss_rec_all: 0.3535 (0.3602) loss_rec_sfr: 0.5059 (0.4898) loss_cl: -0.3659 (-0.3654) time: 0.8598 data: 0.0002 max mem: 29859 [05:28:10.105340] Epoch: [10] [440/850] eta: 0:05:55 lr: 0.000631 loss: 0.3192 (0.3271) loss_rec_all: 0.3529 (0.3602) loss_rec_sfr: 0.4587 (0.4889) loss_cl: -0.3642 (-0.3654) time: 0.8605 data: 0.0002 max mem: 29859 [05:28:27.304277] Epoch: [10] [460/850] eta: 0:05:38 lr: 0.000632 loss: 0.3201 (0.3269) loss_rec_all: 0.3526 (0.3600) loss_rec_sfr: 0.5263 (0.4898) loss_cl: -0.3652 (-0.3654) time: 0.8599 data: 0.0002 max mem: 29859 [05:28:44.514866] Epoch: [10] [480/850] eta: 0:05:20 lr: 0.000634 loss: 0.3165 (0.3268) loss_rec_all: 0.3496 (0.3599) loss_rec_sfr: 0.4929 (0.4894) loss_cl: -0.3653 (-0.3653) time: 0.8605 data: 0.0002 max mem: 29859 [05:29:01.696767] Epoch: [10] [500/850] eta: 0:05:03 lr: 0.000635 loss: 0.3044 (0.3263) loss_rec_all: 0.3369 (0.3594) loss_rec_sfr: 0.4850 (0.4884) loss_cl: -0.3664 (-0.3654) time: 0.8590 data: 0.0002 max mem: 29859 [05:29:18.914522] Epoch: [10] [520/850] eta: 0:04:45 lr: 0.000637 loss: 0.3058 (0.3258) loss_rec_all: 0.3397 (0.3589) loss_rec_sfr: 0.3950 (0.4864) loss_cl: -0.3663 (-0.3654) time: 0.8608 data: 0.0002 max mem: 29859 [05:29:36.090376] Epoch: [10] [540/850] eta: 0:04:28 lr: 0.000638 loss: 0.3163 (0.3257) loss_rec_all: 0.3496 (0.3588) loss_rec_sfr: 0.4742 (0.4857) loss_cl: -0.3653 (-0.3654) time: 0.8587 data: 0.0002 max mem: 29859 [05:29:53.341017] Epoch: [10] [560/850] eta: 0:04:11 lr: 0.000640 loss: 0.3130 (0.3255) loss_rec_all: 0.3461 (0.3586) loss_rec_sfr: 0.4819 (0.4853) loss_cl: -0.3655 (-0.3654) time: 0.8625 data: 0.0002 max mem: 29859 [05:30:10.511700] Epoch: [10] [580/850] eta: 0:03:53 lr: 0.000641 loss: 0.3168 (0.3254) loss_rec_all: 0.3501 (0.3586) loss_rec_sfr: 0.5225 (0.4858) loss_cl: -0.3656 (-0.3654) time: 0.8585 data: 0.0002 max mem: 29859 [05:30:27.766400] Epoch: [10] [600/850] eta: 0:03:36 lr: 0.000642 loss: 0.3231 (0.3256) loss_rec_all: 0.3568 (0.3587) loss_rec_sfr: 0.4675 (0.4856) loss_cl: -0.3658 (-0.3654) time: 0.8626 data: 0.0002 max mem: 29859 [05:30:44.966944] Epoch: [10] [620/850] eta: 0:03:19 lr: 0.000643 loss: 0.3146 (0.3253) loss_rec_all: 0.3479 (0.3584) loss_rec_sfr: 0.4879 (0.4852) loss_cl: -0.3650 (-0.3654) time: 0.8600 data: 0.0002 max mem: 29859 [05:31:02.177228] Epoch: [10] [640/850] eta: 0:03:01 lr: 0.000645 loss: 0.3173 (0.3253) loss_rec_all: 0.3508 (0.3584) loss_rec_sfr: 0.5139 (0.4851) loss_cl: -0.3648 (-0.3654) time: 0.8605 data: 0.0002 max mem: 29859 [05:31:19.357256] Epoch: [10] [660/850] eta: 0:02:44 lr: 0.000646 loss: 0.3143 (0.3252) loss_rec_all: 0.3467 (0.3583) loss_rec_sfr: 0.5108 (0.4853) loss_cl: -0.3651 (-0.3654) time: 0.8590 data: 0.0002 max mem: 29859 [05:31:36.565976] Epoch: [10] [680/850] eta: 0:02:27 lr: 0.000648 loss: 0.3057 (0.3248) loss_rec_all: 0.3396 (0.3579) loss_rec_sfr: 0.4637 (0.4844) loss_cl: -0.3646 (-0.3654) time: 0.8604 data: 0.0002 max mem: 29859 [05:31:53.756558] Epoch: [10] [700/850] eta: 0:02:09 lr: 0.000649 loss: 0.3006 (0.3243) loss_rec_all: 0.3338 (0.3575) loss_rec_sfr: 0.5078 (0.4842) loss_cl: -0.3661 (-0.3654) time: 0.8595 data: 0.0002 max mem: 29859 [05:32:10.965973] Epoch: [10] [720/850] eta: 0:01:52 lr: 0.000651 loss: 0.3103 (0.3242) loss_rec_all: 0.3444 (0.3573) loss_rec_sfr: 0.4739 (0.4838) loss_cl: -0.3664 (-0.3654) time: 0.8604 data: 0.0002 max mem: 29859 [05:32:28.150083] Epoch: [10] [740/850] eta: 0:01:35 lr: 0.000652 loss: 0.3155 (0.3241) loss_rec_all: 0.3483 (0.3573) loss_rec_sfr: 0.4835 (0.4836) loss_cl: -0.3661 (-0.3654) time: 0.8592 data: 0.0002 max mem: 29859 [05:32:45.395620] Epoch: [10] [760/850] eta: 0:01:17 lr: 0.000654 loss: 0.3061 (0.3239) loss_rec_all: 0.3399 (0.3570) loss_rec_sfr: 0.4514 (0.4829) loss_cl: -0.3657 (-0.3654) time: 0.8622 data: 0.0002 max mem: 29859 [05:33:02.576920] Epoch: [10] [780/850] eta: 0:01:00 lr: 0.000655 loss: 0.3007 (0.3234) loss_rec_all: 0.3339 (0.3566) loss_rec_sfr: 0.4724 (0.4827) loss_cl: -0.3654 (-0.3654) time: 0.8590 data: 0.0002 max mem: 29859 [05:33:19.808069] Epoch: [10] [800/850] eta: 0:00:43 lr: 0.000656 loss: 0.3027 (0.3231) loss_rec_all: 0.3360 (0.3562) loss_rec_sfr: 0.4817 (0.4828) loss_cl: -0.3654 (-0.3654) time: 0.8615 data: 0.0002 max mem: 29859 [05:33:36.988124] Epoch: [10] [820/850] eta: 0:00:25 lr: 0.000658 loss: 0.3064 (0.3229) loss_rec_all: 0.3401 (0.3560) loss_rec_sfr: 0.4843 (0.4826) loss_cl: -0.3651 (-0.3654) time: 0.8590 data: 0.0002 max mem: 29859 [05:33:54.240993] Epoch: [10] [840/850] eta: 0:00:08 lr: 0.000659 loss: 0.3081 (0.3227) loss_rec_all: 0.3412 (0.3558) loss_rec_sfr: 0.4823 (0.4827) loss_cl: -0.3655 (-0.3654) time: 0.8626 data: 0.0006 max mem: 29859 [05:34:01.970138] Epoch: [10] [849/850] eta: 0:00:00 lr: 0.000660 loss: 0.3108 (0.3225) loss_rec_all: 0.3436 (0.3557) loss_rec_sfr: 0.5163 (0.4831) loss_cl: -0.3648 (-0.3654) time: 0.8623 data: 0.0005 max mem: 29859 [05:34:02.109339] Epoch: [10] Total time: 0:12:14 (0.8643 s / it) [05:34:02.135151] Averaged stats: lr: 0.000660 loss: 0.3108 (0.3218) loss_rec_all: 0.3436 (0.3550) loss_rec_sfr: 0.5163 (0.4809) loss_cl: -0.3648 (-0.3653) [05:34:02.141846] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [05:34:06.336967] Epoch: [11] [ 0/850] eta: 0:59:25 lr: 0.000660 loss: 0.3053 (0.3053) loss_rec_all: 0.3386 (0.3386) loss_rec_sfr: 0.4834 (0.4834) loss_cl: -0.3659 (-0.3659) time: 4.1944 data: 3.3381 max mem: 29859 [05:34:23.515701] Epoch: [11] [ 20/850] eta: 0:14:04 lr: 0.000661 loss: 0.3205 (0.3220) loss_rec_all: 0.3537 (0.3552) loss_rec_sfr: 0.4853 (0.4849) loss_cl: -0.3658 (-0.3656) time: 0.8589 data: 0.0001 max mem: 29859 [05:34:40.724407] Epoch: [11] [ 40/850] eta: 0:12:42 lr: 0.000663 loss: 0.3079 (0.3193) loss_rec_all: 0.3413 (0.3526) loss_rec_sfr: 0.4783 (0.4746) loss_cl: -0.3664 (-0.3660) time: 0.8604 data: 0.0002 max mem: 29859 [05:34:57.924026] Epoch: [11] [ 60/850] eta: 0:12:02 lr: 0.000664 loss: 0.3029 (0.3166) loss_rec_all: 0.3363 (0.3499) loss_rec_sfr: 0.4902 (0.4752) loss_cl: -0.3657 (-0.3658) time: 0.8599 data: 0.0002 max mem: 29859 [05:35:15.139881] Epoch: [11] [ 80/850] eta: 0:11:33 lr: 0.000666 loss: 0.2990 (0.3133) loss_rec_all: 0.3323 (0.3466) loss_rec_sfr: 0.4741 (0.4725) loss_cl: -0.3655 (-0.3657) time: 0.8607 data: 0.0002 max mem: 29859 [05:35:32.351405] Epoch: [11] [100/850] eta: 0:11:09 lr: 0.000667 loss: 0.2994 (0.3118) loss_rec_all: 0.3326 (0.3450) loss_rec_sfr: 0.4735 (0.4718) loss_cl: -0.3662 (-0.3658) time: 0.8605 data: 0.0002 max mem: 29859 [05:35:49.565691] Epoch: [11] [120/850] eta: 0:10:48 lr: 0.000668 loss: 0.2957 (0.3102) loss_rec_all: 0.3293 (0.3435) loss_rec_sfr: 0.4542 (0.4690) loss_cl: -0.3666 (-0.3659) time: 0.8607 data: 0.0002 max mem: 29859 [05:36:06.761042] Epoch: [11] [140/850] eta: 0:10:27 lr: 0.000670 loss: 0.2962 (0.3092) loss_rec_all: 0.3295 (0.3425) loss_rec_sfr: 0.4810 (0.4694) loss_cl: -0.3662 (-0.3659) time: 0.8597 data: 0.0002 max mem: 29859 [05:36:23.987619] Epoch: [11] [160/850] eta: 0:10:07 lr: 0.000671 loss: 0.3028 (0.3091) loss_rec_all: 0.3363 (0.3424) loss_rec_sfr: 0.4993 (0.4723) loss_cl: -0.3647 (-0.3658) time: 0.8613 data: 0.0002 max mem: 29859 [05:36:41.173395] Epoch: [11] [180/850] eta: 0:09:48 lr: 0.000672 loss: 0.3076 (0.3092) loss_rec_all: 0.3405 (0.3425) loss_rec_sfr: 0.4595 (0.4699) loss_cl: -0.3654 (-0.3658) time: 0.8592 data: 0.0002 max mem: 29859 [05:36:58.420782] Epoch: [11] [200/850] eta: 0:09:30 lr: 0.000674 loss: 0.3003 (0.3089) loss_rec_all: 0.3331 (0.3422) loss_rec_sfr: 0.4793 (0.4698) loss_cl: -0.3662 (-0.3658) time: 0.8623 data: 0.0002 max mem: 29859 [05:37:15.612319] Epoch: [11] [220/850] eta: 0:09:11 lr: 0.000675 loss: 0.2992 (0.3082) loss_rec_all: 0.3325 (0.3415) loss_rec_sfr: 0.4251 (0.4684) loss_cl: -0.3655 (-0.3658) time: 0.8595 data: 0.0002 max mem: 29859 [05:37:32.843955] Epoch: [11] [240/850] eta: 0:08:53 lr: 0.000677 loss: 0.2961 (0.3080) loss_rec_all: 0.3299 (0.3413) loss_rec_sfr: 0.4628 (0.4671) loss_cl: -0.3651 (-0.3657) time: 0.8615 data: 0.0002 max mem: 29859 [05:37:50.038038] Epoch: [11] [260/850] eta: 0:08:35 lr: 0.000678 loss: 0.3023 (0.3081) loss_rec_all: 0.3362 (0.3414) loss_rec_sfr: 0.4928 (0.4684) loss_cl: -0.3659 (-0.3657) time: 0.8597 data: 0.0002 max mem: 29859 [05:38:07.258325] Epoch: [11] [280/850] eta: 0:08:17 lr: 0.000680 loss: 0.3028 (0.3079) loss_rec_all: 0.3366 (0.3412) loss_rec_sfr: 0.4654 (0.4671) loss_cl: -0.3654 (-0.3657) time: 0.8610 data: 0.0002 max mem: 29859 [05:38:24.461725] Epoch: [11] [300/850] eta: 0:07:59 lr: 0.000681 loss: 0.3019 (0.3079) loss_rec_all: 0.3345 (0.3412) loss_rec_sfr: 0.4797 (0.4674) loss_cl: -0.3665 (-0.3658) time: 0.8601 data: 0.0002 max mem: 29859 [05:38:41.675865] Epoch: [11] [320/850] eta: 0:07:41 lr: 0.000683 loss: 0.2979 (0.3079) loss_rec_all: 0.3310 (0.3412) loss_rec_sfr: 0.4631 (0.4661) loss_cl: -0.3656 (-0.3657) time: 0.8607 data: 0.0002 max mem: 29859 [05:38:58.867289] Epoch: [11] [340/850] eta: 0:07:23 lr: 0.000684 loss: 0.3011 (0.3077) loss_rec_all: 0.3344 (0.3410) loss_rec_sfr: 0.4595 (0.4653) loss_cl: -0.3663 (-0.3658) time: 0.8595 data: 0.0001 max mem: 29859 [05:39:16.082299] Epoch: [11] [360/850] eta: 0:07:06 lr: 0.000685 loss: 0.2955 (0.3075) loss_rec_all: 0.3290 (0.3408) loss_rec_sfr: 0.4566 (0.4640) loss_cl: -0.3654 (-0.3657) time: 0.8607 data: 0.0001 max mem: 29859 [05:39:33.273283] Epoch: [11] [380/850] eta: 0:06:48 lr: 0.000687 loss: 0.2899 (0.3070) loss_rec_all: 0.3236 (0.3403) loss_rec_sfr: 0.4668 (0.4630) loss_cl: -0.3660 (-0.3658) time: 0.8595 data: 0.0001 max mem: 29859 [05:39:50.485726] Epoch: [11] [400/850] eta: 0:06:30 lr: 0.000688 loss: 0.2960 (0.3066) loss_rec_all: 0.3298 (0.3400) loss_rec_sfr: 0.4475 (0.4621) loss_cl: -0.3658 (-0.3658) time: 0.8606 data: 0.0001 max mem: 29859 [05:40:07.665284] Epoch: [11] [420/850] eta: 0:06:13 lr: 0.000689 loss: 0.2888 (0.3062) loss_rec_all: 0.3227 (0.3395) loss_rec_sfr: 0.4511 (0.4610) loss_cl: -0.3647 (-0.3657) time: 0.8589 data: 0.0001 max mem: 29859 [05:40:24.895656] Epoch: [11] [440/850] eta: 0:05:55 lr: 0.000691 loss: 0.2930 (0.3057) loss_rec_all: 0.3263 (0.3391) loss_rec_sfr: 0.4993 (0.4622) loss_cl: -0.3656 (-0.3657) time: 0.8615 data: 0.0001 max mem: 29859 [05:40:42.084217] Epoch: [11] [460/850] eta: 0:05:38 lr: 0.000692 loss: 0.2991 (0.3057) loss_rec_all: 0.3326 (0.3390) loss_rec_sfr: 0.4827 (0.4625) loss_cl: -0.3666 (-0.3657) time: 0.8594 data: 0.0002 max mem: 29859 [05:40:59.320038] Epoch: [11] [480/850] eta: 0:05:20 lr: 0.000694 loss: 0.2876 (0.3051) loss_rec_all: 0.3210 (0.3384) loss_rec_sfr: 0.4509 (0.4618) loss_cl: -0.3649 (-0.3657) time: 0.8617 data: 0.0002 max mem: 29859 [05:41:16.493751] Epoch: [11] [500/850] eta: 0:05:03 lr: 0.000695 loss: 0.2857 (0.3046) loss_rec_all: 0.3197 (0.3380) loss_rec_sfr: 0.4564 (0.4612) loss_cl: -0.3655 (-0.3657) time: 0.8586 data: 0.0002 max mem: 29859 [05:41:33.738906] Epoch: [11] [520/850] eta: 0:04:46 lr: 0.000697 loss: 0.2862 (0.3041) loss_rec_all: 0.3203 (0.3374) loss_rec_sfr: 0.4457 (0.4601) loss_cl: -0.3661 (-0.3657) time: 0.8622 data: 0.0002 max mem: 29859 [05:41:50.920369] Epoch: [11] [540/850] eta: 0:04:28 lr: 0.000698 loss: 0.2996 (0.3041) loss_rec_all: 0.3336 (0.3375) loss_rec_sfr: 0.4463 (0.4596) loss_cl: -0.3662 (-0.3657) time: 0.8590 data: 0.0002 max mem: 29859 [05:42:08.153323] Epoch: [11] [560/850] eta: 0:04:11 lr: 0.000700 loss: 0.2981 (0.3040) loss_rec_all: 0.3313 (0.3373) loss_rec_sfr: 0.4602 (0.4595) loss_cl: -0.3667 (-0.3658) time: 0.8616 data: 0.0002 max mem: 29859 [05:42:25.332128] Epoch: [11] [580/850] eta: 0:03:53 lr: 0.000701 loss: 0.2917 (0.3037) loss_rec_all: 0.3247 (0.3370) loss_rec_sfr: 0.5018 (0.4603) loss_cl: -0.3645 (-0.3657) time: 0.8589 data: 0.0002 max mem: 29859 [05:42:42.573984] Epoch: [11] [600/850] eta: 0:03:36 lr: 0.000702 loss: 0.2906 (0.3035) loss_rec_all: 0.3240 (0.3369) loss_rec_sfr: 0.4595 (0.4601) loss_cl: -0.3653 (-0.3657) time: 0.8620 data: 0.0002 max mem: 29859 [05:42:59.757517] Epoch: [11] [620/850] eta: 0:03:19 lr: 0.000703 loss: 0.2957 (0.3034) loss_rec_all: 0.3296 (0.3368) loss_rec_sfr: 0.4696 (0.4601) loss_cl: -0.3654 (-0.3657) time: 0.8591 data: 0.0002 max mem: 29859 [05:43:16.997287] Epoch: [11] [640/850] eta: 0:03:01 lr: 0.000705 loss: 0.2913 (0.3031) loss_rec_all: 0.3253 (0.3364) loss_rec_sfr: 0.4474 (0.4594) loss_cl: -0.3668 (-0.3657) time: 0.8619 data: 0.0002 max mem: 29859 [05:43:34.190174] Epoch: [11] [660/850] eta: 0:02:44 lr: 0.000706 loss: 0.2877 (0.3028) loss_rec_all: 0.3213 (0.3362) loss_rec_sfr: 0.4558 (0.4588) loss_cl: -0.3664 (-0.3657) time: 0.8596 data: 0.0002 max mem: 29859 [05:43:51.432496] Epoch: [11] [680/850] eta: 0:02:27 lr: 0.000708 loss: 0.2866 (0.3025) loss_rec_all: 0.3198 (0.3359) loss_rec_sfr: 0.4458 (0.4583) loss_cl: -0.3654 (-0.3657) time: 0.8621 data: 0.0002 max mem: 29859 [05:44:08.616749] Epoch: [11] [700/850] eta: 0:02:09 lr: 0.000709 loss: 0.2842 (0.3021) loss_rec_all: 0.3179 (0.3355) loss_rec_sfr: 0.4378 (0.4573) loss_cl: -0.3659 (-0.3657) time: 0.8591 data: 0.0002 max mem: 29859 [05:44:25.854700] Epoch: [11] [720/850] eta: 0:01:52 lr: 0.000711 loss: 0.2992 (0.3021) loss_rec_all: 0.3319 (0.3355) loss_rec_sfr: 0.4935 (0.4578) loss_cl: -0.3659 (-0.3657) time: 0.8618 data: 0.0002 max mem: 29859 [05:44:43.048869] Epoch: [11] [740/850] eta: 0:01:35 lr: 0.000712 loss: 0.2978 (0.3023) loss_rec_all: 0.3309 (0.3357) loss_rec_sfr: 0.4887 (0.4586) loss_cl: -0.3643 (-0.3657) time: 0.8597 data: 0.0002 max mem: 29859 [05:45:00.265391] Epoch: [11] [760/850] eta: 0:01:17 lr: 0.000714 loss: 0.2863 (0.3021) loss_rec_all: 0.3198 (0.3355) loss_rec_sfr: 0.4752 (0.4586) loss_cl: -0.3649 (-0.3656) time: 0.8608 data: 0.0002 max mem: 29859 [05:45:17.469903] Epoch: [11] [780/850] eta: 0:01:00 lr: 0.000715 loss: 0.2837 (0.3017) loss_rec_all: 0.3170 (0.3351) loss_rec_sfr: 0.4426 (0.4579) loss_cl: -0.3657 (-0.3656) time: 0.8601 data: 0.0002 max mem: 29859 [05:45:34.698654] Epoch: [11] [800/850] eta: 0:00:43 lr: 0.000716 loss: 0.2886 (0.3016) loss_rec_all: 0.3222 (0.3350) loss_rec_sfr: 0.4435 (0.4576) loss_cl: -0.3660 (-0.3657) time: 0.8614 data: 0.0002 max mem: 29859 [05:45:51.913059] Epoch: [11] [820/850] eta: 0:00:25 lr: 0.000718 loss: 0.2900 (0.3015) loss_rec_all: 0.3236 (0.3348) loss_rec_sfr: 0.4778 (0.4575) loss_cl: -0.3652 (-0.3656) time: 0.8607 data: 0.0002 max mem: 29859 [05:46:09.135489] Epoch: [11] [840/850] eta: 0:00:08 lr: 0.000719 loss: 0.2946 (0.3015) loss_rec_all: 0.3276 (0.3348) loss_rec_sfr: 0.4826 (0.4577) loss_cl: -0.3654 (-0.3656) time: 0.8611 data: 0.0004 max mem: 29859 [05:46:16.884126] Epoch: [11] [849/850] eta: 0:00:00 lr: 0.000720 loss: 0.3030 (0.3015) loss_rec_all: 0.3369 (0.3348) loss_rec_sfr: 0.4700 (0.4579) loss_cl: -0.3656 (-0.3656) time: 0.8616 data: 0.0004 max mem: 29859 [05:46:17.049326] Epoch: [11] Total time: 0:12:14 (0.8646 s / it) [05:46:17.053994] Averaged stats: lr: 0.000720 loss: 0.3030 (0.3011) loss_rec_all: 0.3369 (0.3345) loss_rec_sfr: 0.4700 (0.4565) loss_cl: -0.3656 (-0.3656) [05:46:17.071903] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [05:46:25.263405] Epoch: [12] [ 0/850] eta: 1:56:02 lr: 0.000720 loss: 0.2820 (0.2820) loss_rec_all: 0.3160 (0.3160) loss_rec_sfr: 0.3751 (0.3751) loss_cl: -0.3662 (-0.3662) time: 8.1908 data: 7.0406 max mem: 29859 [05:46:42.389339] Epoch: [12] [ 20/850] eta: 0:16:40 lr: 0.000721 loss: 0.2869 (0.2909) loss_rec_all: 0.3202 (0.3244) loss_rec_sfr: 0.4641 (0.4452) loss_cl: -0.3659 (-0.3656) time: 0.8562 data: 0.0002 max mem: 29859 [05:46:59.607484] Epoch: [12] [ 40/850] eta: 0:14:00 lr: 0.000723 loss: 0.2864 (0.2895) loss_rec_all: 0.3192 (0.3229) loss_rec_sfr: 0.4654 (0.4489) loss_cl: -0.3653 (-0.3655) time: 0.8609 data: 0.0002 max mem: 29859 [05:47:16.777307] Epoch: [12] [ 60/850] eta: 0:12:53 lr: 0.000724 loss: 0.2862 (0.2895) loss_rec_all: 0.3187 (0.3229) loss_rec_sfr: 0.4511 (0.4494) loss_cl: -0.3652 (-0.3654) time: 0.8584 data: 0.0002 max mem: 29859 [05:47:34.008604] Epoch: [12] [ 80/850] eta: 0:12:11 lr: 0.000726 loss: 0.2870 (0.2897) loss_rec_all: 0.3209 (0.3231) loss_rec_sfr: 0.4519 (0.4457) loss_cl: -0.3647 (-0.3652) time: 0.8615 data: 0.0002 max mem: 29859 [05:47:51.191156] Epoch: [12] [100/850] eta: 0:11:38 lr: 0.000727 loss: 0.2861 (0.2902) loss_rec_all: 0.3198 (0.3237) loss_rec_sfr: 0.4507 (0.4455) loss_cl: -0.3664 (-0.3654) time: 0.8591 data: 0.0002 max mem: 29859 [05:48:08.429225] Epoch: [12] [120/850] eta: 0:11:11 lr: 0.000728 loss: 0.2831 (0.2900) loss_rec_all: 0.3173 (0.3235) loss_rec_sfr: 0.3663 (0.4377) loss_cl: -0.3672 (-0.3657) time: 0.8618 data: 0.0002 max mem: 29859 [05:48:25.621512] Epoch: [12] [140/850] eta: 0:10:47 lr: 0.000730 loss: 0.2781 (0.2896) loss_rec_all: 0.3111 (0.3231) loss_rec_sfr: 0.4371 (0.4366) loss_cl: -0.3664 (-0.3658) time: 0.8596 data: 0.0002 max mem: 29859 [05:48:42.851692] Epoch: [12] [160/850] eta: 0:10:24 lr: 0.000731 loss: 0.2780 (0.2893) loss_rec_all: 0.3120 (0.3229) loss_rec_sfr: 0.4281 (0.4353) loss_cl: -0.3653 (-0.3657) time: 0.8615 data: 0.0002 max mem: 29859 [05:49:00.049896] Epoch: [12] [180/850] eta: 0:10:03 lr: 0.000732 loss: 0.3063 (0.2914) loss_rec_all: 0.3394 (0.3249) loss_rec_sfr: 0.4590 (0.4382) loss_cl: -0.3661 (-0.3658) time: 0.8598 data: 0.0002 max mem: 29859 [05:49:17.288108] Epoch: [12] [200/850] eta: 0:09:42 lr: 0.000734 loss: 0.2843 (0.2914) loss_rec_all: 0.3171 (0.3249) loss_rec_sfr: 0.4728 (0.4395) loss_cl: -0.3658 (-0.3658) time: 0.8619 data: 0.0002 max mem: 29859 [05:49:34.512435] Epoch: [12] [220/850] eta: 0:09:22 lr: 0.000735 loss: 0.2789 (0.2905) loss_rec_all: 0.3125 (0.3240) loss_rec_sfr: 0.4428 (0.4392) loss_cl: -0.3660 (-0.3658) time: 0.8612 data: 0.0002 max mem: 29859 [05:49:51.744247] Epoch: [12] [240/850] eta: 0:09:03 lr: 0.000737 loss: 0.2780 (0.2896) loss_rec_all: 0.3112 (0.3231) loss_rec_sfr: 0.4539 (0.4402) loss_cl: -0.3658 (-0.3658) time: 0.8615 data: 0.0002 max mem: 29859 [05:50:08.962852] Epoch: [12] [260/850] eta: 0:08:44 lr: 0.000738 loss: 0.2760 (0.2888) loss_rec_all: 0.3101 (0.3223) loss_rec_sfr: 0.4419 (0.4398) loss_cl: -0.3662 (-0.3658) time: 0.8609 data: 0.0002 max mem: 29859 [05:50:26.194877] Epoch: [12] [280/850] eta: 0:08:25 lr: 0.000740 loss: 0.2796 (0.2885) loss_rec_all: 0.3134 (0.3220) loss_rec_sfr: 0.4326 (0.4390) loss_cl: -0.3662 (-0.3658) time: 0.8616 data: 0.0002 max mem: 29859 [05:50:43.399949] Epoch: [12] [300/850] eta: 0:08:06 lr: 0.000741 loss: 0.2787 (0.2881) loss_rec_all: 0.3120 (0.3216) loss_rec_sfr: 0.4423 (0.4384) loss_cl: -0.3658 (-0.3658) time: 0.8602 data: 0.0002 max mem: 29859 [05:51:00.606451] Epoch: [12] [320/850] eta: 0:07:48 lr: 0.000743 loss: 0.2714 (0.2873) loss_rec_all: 0.3051 (0.3208) loss_rec_sfr: 0.4311 (0.4374) loss_cl: -0.3656 (-0.3658) time: 0.8603 data: 0.0002 max mem: 29859 [05:51:17.777359] Epoch: [12] [340/850] eta: 0:07:29 lr: 0.000744 loss: 0.2778 (0.2870) loss_rec_all: 0.3112 (0.3205) loss_rec_sfr: 0.4494 (0.4372) loss_cl: -0.3665 (-0.3658) time: 0.8585 data: 0.0002 max mem: 29859 [05:51:34.985088] Epoch: [12] [360/850] eta: 0:07:11 lr: 0.000745 loss: 0.2784 (0.2866) loss_rec_all: 0.3125 (0.3202) loss_rec_sfr: 0.4444 (0.4370) loss_cl: -0.3651 (-0.3658) time: 0.8603 data: 0.0002 max mem: 29859 [05:51:52.152504] Epoch: [12] [380/850] eta: 0:06:53 lr: 0.000747 loss: 0.2721 (0.2864) loss_rec_all: 0.3058 (0.3199) loss_rec_sfr: 0.4322 (0.4363) loss_cl: -0.3652 (-0.3657) time: 0.8583 data: 0.0002 max mem: 29859 [05:52:09.355251] Epoch: [12] [400/850] eta: 0:06:35 lr: 0.000748 loss: 0.2719 (0.2856) loss_rec_all: 0.3056 (0.3192) loss_rec_sfr: 0.3596 (0.4341) loss_cl: -0.3664 (-0.3658) time: 0.8601 data: 0.0002 max mem: 29859 [05:52:26.519257] Epoch: [12] [420/850] eta: 0:06:17 lr: 0.000749 loss: 0.2782 (0.2856) loss_rec_all: 0.3115 (0.3191) loss_rec_sfr: 0.4301 (0.4336) loss_cl: -0.3665 (-0.3658) time: 0.8582 data: 0.0002 max mem: 29859 [05:52:43.720849] Epoch: [12] [440/850] eta: 0:05:59 lr: 0.000751 loss: 0.2764 (0.2854) loss_rec_all: 0.3099 (0.3190) loss_rec_sfr: 0.4368 (0.4339) loss_cl: -0.3655 (-0.3658) time: 0.8600 data: 0.0002 max mem: 29859 [05:53:00.889038] Epoch: [12] [460/850] eta: 0:05:41 lr: 0.000752 loss: 0.2843 (0.2855) loss_rec_all: 0.3183 (0.3190) loss_rec_sfr: 0.4782 (0.4348) loss_cl: -0.3657 (-0.3658) time: 0.8584 data: 0.0002 max mem: 29859 [05:53:18.088980] Epoch: [12] [480/850] eta: 0:05:23 lr: 0.000754 loss: 0.2730 (0.2852) loss_rec_all: 0.3067 (0.3188) loss_rec_sfr: 0.4378 (0.4346) loss_cl: -0.3656 (-0.3658) time: 0.8600 data: 0.0002 max mem: 29859 [05:53:35.256901] Epoch: [12] [500/850] eta: 0:05:06 lr: 0.000755 loss: 0.2678 (0.2848) loss_rec_all: 0.3021 (0.3183) loss_rec_sfr: 0.4330 (0.4340) loss_cl: -0.3655 (-0.3657) time: 0.8583 data: 0.0002 max mem: 29859 [05:53:52.460599] Epoch: [12] [520/850] eta: 0:04:48 lr: 0.000757 loss: 0.2680 (0.2845) loss_rec_all: 0.3013 (0.3181) loss_rec_sfr: 0.3480 (0.4325) loss_cl: -0.3661 (-0.3658) time: 0.8601 data: 0.0002 max mem: 29859 [05:54:09.637213] Epoch: [12] [540/850] eta: 0:04:30 lr: 0.000758 loss: 0.2701 (0.2843) loss_rec_all: 0.3033 (0.3178) loss_rec_sfr: 0.4471 (0.4321) loss_cl: -0.3658 (-0.3658) time: 0.8588 data: 0.0002 max mem: 29859 [05:54:26.837348] Epoch: [12] [560/850] eta: 0:04:13 lr: 0.000760 loss: 0.2697 (0.2838) loss_rec_all: 0.3032 (0.3174) loss_rec_sfr: 0.4311 (0.4312) loss_cl: -0.3660 (-0.3658) time: 0.8599 data: 0.0002 max mem: 29859 [05:54:44.045951] Epoch: [12] [580/850] eta: 0:03:55 lr: 0.000761 loss: 0.2725 (0.2836) loss_rec_all: 0.3060 (0.3171) loss_rec_sfr: 0.4335 (0.4310) loss_cl: -0.3665 (-0.3658) time: 0.8604 data: 0.0002 max mem: 29859 [05:55:01.273532] Epoch: [12] [600/850] eta: 0:03:38 lr: 0.000762 loss: 0.2786 (0.2837) loss_rec_all: 0.3127 (0.3173) loss_rec_sfr: 0.4549 (0.4313) loss_cl: -0.3658 (-0.3658) time: 0.8613 data: 0.0002 max mem: 29859 [05:55:18.470184] Epoch: [12] [620/850] eta: 0:03:20 lr: 0.000763 loss: 0.2819 (0.2839) loss_rec_all: 0.3159 (0.3175) loss_rec_sfr: 0.4679 (0.4317) loss_cl: -0.3657 (-0.3658) time: 0.8597 data: 0.0002 max mem: 29859 [05:55:35.699716] Epoch: [12] [640/850] eta: 0:03:03 lr: 0.000765 loss: 0.2718 (0.2838) loss_rec_all: 0.3058 (0.3174) loss_rec_sfr: 0.4308 (0.4314) loss_cl: -0.3649 (-0.3658) time: 0.8614 data: 0.0002 max mem: 29859 [05:55:52.893364] Epoch: [12] [660/850] eta: 0:02:45 lr: 0.000766 loss: 0.2668 (0.2834) loss_rec_all: 0.3004 (0.3169) loss_rec_sfr: 0.4009 (0.4304) loss_cl: -0.3661 (-0.3658) time: 0.8596 data: 0.0002 max mem: 29859 [05:56:10.126035] Epoch: [12] [680/850] eta: 0:02:28 lr: 0.000768 loss: 0.2628 (0.2830) loss_rec_all: 0.2962 (0.3166) loss_rec_sfr: 0.4067 (0.4296) loss_cl: -0.3666 (-0.3658) time: 0.8616 data: 0.0002 max mem: 29859 [05:56:27.307207] Epoch: [12] [700/850] eta: 0:02:10 lr: 0.000769 loss: 0.2729 (0.2829) loss_rec_all: 0.3060 (0.3165) loss_rec_sfr: 0.4550 (0.4298) loss_cl: -0.3655 (-0.3658) time: 0.8590 data: 0.0002 max mem: 29859 [05:56:44.535769] Epoch: [12] [720/850] eta: 0:01:53 lr: 0.000771 loss: 0.2736 (0.2827) loss_rec_all: 0.3065 (0.3163) loss_rec_sfr: 0.4490 (0.4300) loss_cl: -0.3648 (-0.3658) time: 0.8614 data: 0.0002 max mem: 29859 [05:57:02.700098] Epoch: [12] [740/850] eta: 0:01:35 lr: 0.000772 loss: 0.2660 (0.2824) loss_rec_all: 0.2996 (0.3160) loss_rec_sfr: 0.4058 (0.4294) loss_cl: -0.3663 (-0.3658) time: 0.9082 data: 0.0497 max mem: 29859 [05:57:22.723754] Epoch: [12] [760/850] eta: 0:01:18 lr: 0.000774 loss: 0.2617 (0.2820) loss_rec_all: 0.2961 (0.3156) loss_rec_sfr: 0.4026 (0.4284) loss_cl: -0.3662 (-0.3658) time: 1.0011 data: 0.1404 max mem: 29859 [05:57:39.891104] Epoch: [12] [780/850] eta: 0:01:01 lr: 0.000775 loss: 0.2676 (0.2819) loss_rec_all: 0.3017 (0.3155) loss_rec_sfr: 0.4349 (0.4286) loss_cl: -0.3660 (-0.3658) time: 0.8583 data: 0.0002 max mem: 29859 [05:57:57.747393] Epoch: [12] [800/850] eta: 0:00:43 lr: 0.000776 loss: 0.2708 (0.2818) loss_rec_all: 0.3043 (0.3154) loss_rec_sfr: 0.4465 (0.4289) loss_cl: -0.3660 (-0.3658) time: 0.8927 data: 0.0272 max mem: 29859 [05:58:17.679895] Epoch: [12] [820/850] eta: 0:00:26 lr: 0.000778 loss: 0.2754 (0.2817) loss_rec_all: 0.3085 (0.3153) loss_rec_sfr: 0.4491 (0.4288) loss_cl: -0.3666 (-0.3658) time: 0.9966 data: 0.0474 max mem: 29859 [05:58:35.939254] Epoch: [12] [840/850] eta: 0:00:08 lr: 0.000779 loss: 0.2814 (0.2818) loss_rec_all: 0.3145 (0.3154) loss_rec_sfr: 0.4388 (0.4291) loss_cl: -0.3656 (-0.3658) time: 0.9129 data: 0.0533 max mem: 29859 [05:58:43.700394] Epoch: [12] [849/850] eta: 0:00:00 lr: 0.000780 loss: 0.2762 (0.2817) loss_rec_all: 0.3097 (0.3153) loss_rec_sfr: 0.4388 (0.4290) loss_cl: -0.3653 (-0.3658) time: 0.9048 data: 0.0430 max mem: 29859 [05:58:43.864850] Epoch: [12] Total time: 0:12:26 (0.8786 s / it) [05:58:43.869521] Averaged stats: lr: 0.000780 loss: 0.2762 (0.2813) loss_rec_all: 0.3097 (0.3148) loss_rec_sfr: 0.4388 (0.4282) loss_cl: -0.3653 (-0.3658) [05:58:43.882159] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [05:58:49.872024] Epoch: [13] [ 0/850] eta: 1:24:50 lr: 0.000780 loss: 0.2956 (0.2956) loss_rec_all: 0.3290 (0.3290) loss_rec_sfr: 0.4468 (0.4468) loss_cl: -0.3652 (-0.3652) time: 5.9891 data: 4.8529 max mem: 29859 [05:59:06.997475] Epoch: [13] [ 20/850] eta: 0:15:13 lr: 0.000781 loss: 0.2722 (0.2787) loss_rec_all: 0.3059 (0.3125) loss_rec_sfr: 0.4204 (0.4132) loss_cl: -0.3660 (-0.3661) time: 0.8562 data: 0.0002 max mem: 29859 [05:59:24.223623] Epoch: [13] [ 40/850] eta: 0:13:16 lr: 0.000783 loss: 0.2626 (0.2734) loss_rec_all: 0.2958 (0.3071) loss_rec_sfr: 0.4192 (0.4119) loss_cl: -0.3665 (-0.3662) time: 0.8613 data: 0.0002 max mem: 29859 [05:59:41.429230] Epoch: [13] [ 60/850] eta: 0:12:25 lr: 0.000784 loss: 0.2684 (0.2743) loss_rec_all: 0.3015 (0.3081) loss_rec_sfr: 0.4356 (0.4126) loss_cl: -0.3669 (-0.3664) time: 0.8602 data: 0.0002 max mem: 29859 [05:59:58.640280] Epoch: [13] [ 80/850] eta: 0:11:50 lr: 0.000786 loss: 0.2696 (0.2735) loss_rec_all: 0.3039 (0.3073) loss_rec_sfr: 0.4215 (0.4143) loss_cl: -0.3672 (-0.3666) time: 0.8605 data: 0.0002 max mem: 29859 [06:00:15.850775] Epoch: [13] [100/850] eta: 0:11:22 lr: 0.000787 loss: 0.2807 (0.2762) loss_rec_all: 0.3134 (0.3099) loss_rec_sfr: 0.4738 (0.4251) loss_cl: -0.3652 (-0.3663) time: 0.8605 data: 0.0002 max mem: 29859 [06:00:33.095869] Epoch: [13] [120/850] eta: 0:10:58 lr: 0.000788 loss: 0.2666 (0.2758) loss_rec_all: 0.3000 (0.3095) loss_rec_sfr: 0.4264 (0.4225) loss_cl: -0.3635 (-0.3658) time: 0.8622 data: 0.0002 max mem: 29859 [06:00:50.290790] Epoch: [13] [140/850] eta: 0:10:36 lr: 0.000790 loss: 0.2604 (0.2739) loss_rec_all: 0.2939 (0.3075) loss_rec_sfr: 0.4082 (0.4197) loss_cl: -0.3656 (-0.3657) time: 0.8597 data: 0.0002 max mem: 29859 [06:01:07.579134] Epoch: [13] [160/850] eta: 0:10:15 lr: 0.000791 loss: 0.2588 (0.2729) loss_rec_all: 0.2929 (0.3065) loss_rec_sfr: 0.4256 (0.4177) loss_cl: -0.3654 (-0.3657) time: 0.8644 data: 0.0003 max mem: 29859 [06:01:24.796263] Epoch: [13] [180/850] eta: 0:09:55 lr: 0.000792 loss: 0.2692 (0.2729) loss_rec_all: 0.3029 (0.3066) loss_rec_sfr: 0.4324 (0.4175) loss_cl: -0.3650 (-0.3656) time: 0.8608 data: 0.0002 max mem: 29859 [06:01:42.030342] Epoch: [13] [200/850] eta: 0:09:36 lr: 0.000794 loss: 0.2663 (0.2725) loss_rec_all: 0.2994 (0.3062) loss_rec_sfr: 0.4189 (0.4183) loss_cl: -0.3663 (-0.3657) time: 0.8617 data: 0.0001 max mem: 29859 [06:01:59.299237] Epoch: [13] [220/850] eta: 0:09:17 lr: 0.000795 loss: 0.2561 (0.2712) loss_rec_all: 0.2893 (0.3049) loss_rec_sfr: 0.4015 (0.4165) loss_cl: -0.3670 (-0.3658) time: 0.8634 data: 0.0002 max mem: 29859 [06:02:16.535210] Epoch: [13] [240/850] eta: 0:08:58 lr: 0.000797 loss: 0.2528 (0.2701) loss_rec_all: 0.2864 (0.3038) loss_rec_sfr: 0.3932 (0.4139) loss_cl: -0.3662 (-0.3658) time: 0.8618 data: 0.0002 max mem: 29859 [06:02:33.728433] Epoch: [13] [260/850] eta: 0:08:39 lr: 0.000798 loss: 0.2560 (0.2697) loss_rec_all: 0.2903 (0.3034) loss_rec_sfr: 0.3824 (0.4117) loss_cl: -0.3659 (-0.3658) time: 0.8596 data: 0.0002 max mem: 29859 [06:02:51.023905] Epoch: [13] [280/850] eta: 0:08:21 lr: 0.000800 loss: 0.2661 (0.2697) loss_rec_all: 0.2998 (0.3034) loss_rec_sfr: 0.4249 (0.4131) loss_cl: -0.3663 (-0.3659) time: 0.8647 data: 0.0002 max mem: 29859 [06:03:08.198424] Epoch: [13] [300/850] eta: 0:08:02 lr: 0.000801 loss: 0.2743 (0.2703) loss_rec_all: 0.3081 (0.3040) loss_rec_sfr: 0.4327 (0.4146) loss_cl: -0.3665 (-0.3659) time: 0.8587 data: 0.0002 max mem: 29859 [06:03:25.438320] Epoch: [13] [320/850] eta: 0:07:44 lr: 0.000803 loss: 0.2734 (0.2708) loss_rec_all: 0.3075 (0.3045) loss_rec_sfr: 0.3866 (0.4138) loss_cl: -0.3662 (-0.3659) time: 0.8619 data: 0.0002 max mem: 29859 [06:03:42.656336] Epoch: [13] [340/850] eta: 0:07:26 lr: 0.000804 loss: 0.2667 (0.2707) loss_rec_all: 0.2999 (0.3044) loss_rec_sfr: 0.4288 (0.4140) loss_cl: -0.3657 (-0.3659) time: 0.8609 data: 0.0002 max mem: 29859 [06:03:59.877715] Epoch: [13] [360/850] eta: 0:07:08 lr: 0.000805 loss: 0.2602 (0.2703) loss_rec_all: 0.2942 (0.3040) loss_rec_sfr: 0.4109 (0.4138) loss_cl: -0.3664 (-0.3659) time: 0.8610 data: 0.0002 max mem: 29859 [06:04:17.073916] Epoch: [13] [380/850] eta: 0:06:50 lr: 0.000807 loss: 0.2604 (0.2700) loss_rec_all: 0.2942 (0.3038) loss_rec_sfr: 0.3822 (0.4127) loss_cl: -0.3667 (-0.3660) time: 0.8598 data: 0.0002 max mem: 29859 [06:04:34.325717] Epoch: [13] [400/850] eta: 0:06:33 lr: 0.000808 loss: 0.2556 (0.2697) loss_rec_all: 0.2892 (0.3034) loss_rec_sfr: 0.4363 (0.4130) loss_cl: -0.3661 (-0.3660) time: 0.8625 data: 0.0002 max mem: 29859 [06:04:51.513460] Epoch: [13] [420/850] eta: 0:06:15 lr: 0.000809 loss: 0.2659 (0.2697) loss_rec_all: 0.2995 (0.3034) loss_rec_sfr: 0.3924 (0.4124) loss_cl: -0.3662 (-0.3660) time: 0.8593 data: 0.0002 max mem: 29859 [06:05:08.785496] Epoch: [13] [440/850] eta: 0:05:57 lr: 0.000811 loss: 0.2660 (0.2696) loss_rec_all: 0.2992 (0.3033) loss_rec_sfr: 0.4196 (0.4125) loss_cl: -0.3654 (-0.3660) time: 0.8635 data: 0.0002 max mem: 29859 [06:05:25.985931] Epoch: [13] [460/850] eta: 0:05:40 lr: 0.000812 loss: 0.2580 (0.2694) loss_rec_all: 0.2920 (0.3032) loss_rec_sfr: 0.4019 (0.4120) loss_cl: -0.3651 (-0.3659) time: 0.8599 data: 0.0002 max mem: 29859 [06:05:43.208667] Epoch: [13] [480/850] eta: 0:05:22 lr: 0.000814 loss: 0.2550 (0.2691) loss_rec_all: 0.2888 (0.3028) loss_rec_sfr: 0.3345 (0.4105) loss_cl: -0.3662 (-0.3659) time: 0.8611 data: 0.0002 max mem: 29859 [06:06:00.444054] Epoch: [13] [500/850] eta: 0:05:04 lr: 0.000815 loss: 0.2551 (0.2688) loss_rec_all: 0.2887 (0.3025) loss_rec_sfr: 0.4284 (0.4106) loss_cl: -0.3659 (-0.3659) time: 0.8617 data: 0.0002 max mem: 29859 [06:06:17.657980] Epoch: [13] [520/850] eta: 0:04:47 lr: 0.000817 loss: 0.2572 (0.2685) loss_rec_all: 0.2915 (0.3022) loss_rec_sfr: 0.3963 (0.4102) loss_cl: -0.3667 (-0.3659) time: 0.8607 data: 0.0002 max mem: 29859 [06:06:34.835275] Epoch: [13] [540/850] eta: 0:04:29 lr: 0.000818 loss: 0.2593 (0.2682) loss_rec_all: 0.2927 (0.3020) loss_rec_sfr: 0.4526 (0.4109) loss_cl: -0.3657 (-0.3659) time: 0.8588 data: 0.0002 max mem: 29859 [06:06:52.117412] Epoch: [13] [560/850] eta: 0:04:12 lr: 0.000820 loss: 0.2632 (0.2683) loss_rec_all: 0.2968 (0.3020) loss_rec_sfr: 0.4359 (0.4108) loss_cl: -0.3669 (-0.3660) time: 0.8641 data: 0.0002 max mem: 29859 [06:07:09.291168] Epoch: [13] [580/850] eta: 0:03:54 lr: 0.000821 loss: 0.2510 (0.2678) loss_rec_all: 0.2841 (0.3015) loss_rec_sfr: 0.4057 (0.4103) loss_cl: -0.3666 (-0.3660) time: 0.8586 data: 0.0002 max mem: 29859 [06:07:26.537035] Epoch: [13] [600/850] eta: 0:03:37 lr: 0.000822 loss: 0.2544 (0.2675) loss_rec_all: 0.2877 (0.3012) loss_rec_sfr: 0.4114 (0.4100) loss_cl: -0.3663 (-0.3660) time: 0.8622 data: 0.0002 max mem: 29859 [06:07:43.735714] Epoch: [13] [620/850] eta: 0:03:19 lr: 0.000823 loss: 0.2554 (0.2671) loss_rec_all: 0.2889 (0.3009) loss_rec_sfr: 0.4020 (0.4099) loss_cl: -0.3654 (-0.3660) time: 0.8599 data: 0.0002 max mem: 29859 [06:08:00.968053] Epoch: [13] [640/850] eta: 0:03:02 lr: 0.000825 loss: 0.2471 (0.2666) loss_rec_all: 0.2807 (0.3004) loss_rec_sfr: 0.4177 (0.4096) loss_cl: -0.3656 (-0.3660) time: 0.8616 data: 0.0002 max mem: 29859 [06:08:18.195750] Epoch: [13] [660/850] eta: 0:02:45 lr: 0.000826 loss: 0.2586 (0.2665) loss_rec_all: 0.2924 (0.3002) loss_rec_sfr: 0.4176 (0.4101) loss_cl: -0.3661 (-0.3660) time: 0.8613 data: 0.0002 max mem: 29859 [06:08:35.411529] Epoch: [13] [680/850] eta: 0:02:27 lr: 0.000828 loss: 0.2530 (0.2661) loss_rec_all: 0.2868 (0.2999) loss_rec_sfr: 0.4185 (0.4100) loss_cl: -0.3667 (-0.3660) time: 0.8607 data: 0.0002 max mem: 29859 [06:08:52.607922] Epoch: [13] [700/850] eta: 0:02:10 lr: 0.000829 loss: 0.2734 (0.2665) loss_rec_all: 0.3064 (0.3002) loss_rec_sfr: 0.4388 (0.4108) loss_cl: -0.3664 (-0.3660) time: 0.8598 data: 0.0002 max mem: 29859 [06:09:09.859876] Epoch: [13] [720/850] eta: 0:01:52 lr: 0.000831 loss: 0.2709 (0.2667) loss_rec_all: 0.3042 (0.3004) loss_rec_sfr: 0.3889 (0.4109) loss_cl: -0.3654 (-0.3660) time: 0.8626 data: 0.0002 max mem: 29859 [06:09:27.048557] Epoch: [13] [740/850] eta: 0:01:35 lr: 0.000832 loss: 0.2598 (0.2667) loss_rec_all: 0.2933 (0.3005) loss_rec_sfr: 0.4386 (0.4111) loss_cl: -0.3647 (-0.3660) time: 0.8594 data: 0.0002 max mem: 29859 [06:09:44.311662] Epoch: [13] [760/850] eta: 0:01:18 lr: 0.000834 loss: 0.2600 (0.2667) loss_rec_all: 0.2942 (0.3004) loss_rec_sfr: 0.3844 (0.4104) loss_cl: -0.3662 (-0.3660) time: 0.8631 data: 0.0002 max mem: 29859 [06:10:01.497802] Epoch: [13] [780/850] eta: 0:01:00 lr: 0.000835 loss: 0.2508 (0.2665) loss_rec_all: 0.2851 (0.3002) loss_rec_sfr: 0.3404 (0.4095) loss_cl: -0.3662 (-0.3660) time: 0.8593 data: 0.0002 max mem: 29859 [06:10:18.755275] Epoch: [13] [800/850] eta: 0:00:43 lr: 0.000836 loss: 0.2474 (0.2661) loss_rec_all: 0.2810 (0.2998) loss_rec_sfr: 0.4108 (0.4093) loss_cl: -0.3665 (-0.3660) time: 0.8628 data: 0.0002 max mem: 29859 [06:10:35.969891] Epoch: [13] [820/850] eta: 0:00:26 lr: 0.000838 loss: 0.2441 (0.2656) loss_rec_all: 0.2779 (0.2994) loss_rec_sfr: 0.4033 (0.4088) loss_cl: -0.3654 (-0.3660) time: 0.8607 data: 0.0002 max mem: 29859 [06:10:53.179153] Epoch: [13] [840/850] eta: 0:00:08 lr: 0.000839 loss: 0.2559 (0.2654) loss_rec_all: 0.2890 (0.2992) loss_rec_sfr: 0.3858 (0.4082) loss_cl: -0.3660 (-0.3660) time: 0.8604 data: 0.0005 max mem: 29859 [06:11:00.897737] Epoch: [13] [849/850] eta: 0:00:00 lr: 0.000840 loss: 0.2536 (0.2653) loss_rec_all: 0.2878 (0.2990) loss_rec_sfr: 0.3858 (0.4081) loss_cl: -0.3664 (-0.3660) time: 0.8594 data: 0.0004 max mem: 29859 [06:11:01.059769] Epoch: [13] Total time: 0:12:17 (0.8673 s / it) [06:11:01.086463] Averaged stats: lr: 0.000840 loss: 0.2536 (0.2650) loss_rec_all: 0.2878 (0.2988) loss_rec_sfr: 0.3858 (0.4079) loss_cl: -0.3664 (-0.3659) [06:11:01.096180] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [06:11:06.843078] Epoch: [14] [ 0/850] eta: 1:21:23 lr: 0.000840 loss: 0.2894 (0.2894) loss_rec_all: 0.3230 (0.3230) loss_rec_sfr: 0.4523 (0.4523) loss_cl: -0.3676 (-0.3676) time: 5.7457 data: 4.8936 max mem: 29859 [06:11:23.986222] Epoch: [14] [ 20/850] eta: 0:15:04 lr: 0.000841 loss: 0.2466 (0.2558) loss_rec_all: 0.2803 (0.2897) loss_rec_sfr: 0.3783 (0.3777) loss_cl: -0.3656 (-0.3654) time: 0.8571 data: 0.0002 max mem: 29859 [06:11:41.194890] Epoch: [14] [ 40/850] eta: 0:13:12 lr: 0.000843 loss: 0.2420 (0.2514) loss_rec_all: 0.2752 (0.2853) loss_rec_sfr: 0.3803 (0.3786) loss_cl: -0.3663 (-0.3657) time: 0.8604 data: 0.0002 max mem: 29859 [06:11:58.446493] Epoch: [14] [ 60/850] eta: 0:12:22 lr: 0.000844 loss: 0.2421 (0.2492) loss_rec_all: 0.2757 (0.2831) loss_rec_sfr: 0.4198 (0.3860) loss_cl: -0.3668 (-0.3660) time: 0.8625 data: 0.0002 max mem: 29859 [06:12:15.685447] Epoch: [14] [ 80/850] eta: 0:11:49 lr: 0.000846 loss: 0.2459 (0.2494) loss_rec_all: 0.2795 (0.2832) loss_rec_sfr: 0.4517 (0.3957) loss_cl: -0.3664 (-0.3661) time: 0.8619 data: 0.0002 max mem: 29859 [06:12:32.874044] Epoch: [14] [100/850] eta: 0:11:21 lr: 0.000847 loss: 0.2491 (0.2497) loss_rec_all: 0.2833 (0.2835) loss_rec_sfr: 0.3710 (0.3913) loss_cl: -0.3659 (-0.3661) time: 0.8594 data: 0.0002 max mem: 29859 [06:12:50.149374] Epoch: [14] [120/850] eta: 0:10:57 lr: 0.000848 loss: 0.2657 (0.2533) loss_rec_all: 0.2988 (0.2872) loss_rec_sfr: 0.3948 (0.3936) loss_cl: -0.3666 (-0.3661) time: 0.8637 data: 0.0002 max mem: 29859 [06:13:07.351265] Epoch: [14] [140/850] eta: 0:10:35 lr: 0.000850 loss: 0.2600 (0.2549) loss_rec_all: 0.2942 (0.2888) loss_rec_sfr: 0.3771 (0.3932) loss_cl: -0.3659 (-0.3661) time: 0.8600 data: 0.0002 max mem: 29859 [06:13:24.587500] Epoch: [14] [160/850] eta: 0:10:14 lr: 0.000851 loss: 0.2742 (0.2577) loss_rec_all: 0.3079 (0.2916) loss_rec_sfr: 0.4343 (0.3974) loss_cl: -0.3666 (-0.3662) time: 0.8617 data: 0.0002 max mem: 29859 [06:13:41.834195] Epoch: [14] [180/850] eta: 0:09:54 lr: 0.000852 loss: 0.2561 (0.2583) loss_rec_all: 0.2905 (0.2921) loss_rec_sfr: 0.4003 (0.3986) loss_cl: -0.3662 (-0.3662) time: 0.8623 data: 0.0003 max mem: 29859 [06:13:59.094350] Epoch: [14] [200/850] eta: 0:09:35 lr: 0.000854 loss: 0.2481 (0.2580) loss_rec_all: 0.2822 (0.2918) loss_rec_sfr: 0.4058 (0.3988) loss_cl: -0.3668 (-0.3662) time: 0.8630 data: 0.0002 max mem: 29859 [06:14:16.285094] Epoch: [14] [220/850] eta: 0:09:16 lr: 0.000855 loss: 0.2472 (0.2575) loss_rec_all: 0.2816 (0.2913) loss_rec_sfr: 0.3926 (0.3974) loss_cl: -0.3658 (-0.3662) time: 0.8595 data: 0.0002 max mem: 29859 [06:14:33.595275] Epoch: [14] [240/850] eta: 0:08:57 lr: 0.000857 loss: 0.2438 (0.2565) loss_rec_all: 0.2772 (0.2903) loss_rec_sfr: 0.3849 (0.3962) loss_cl: -0.3652 (-0.3661) time: 0.8654 data: 0.0003 max mem: 29859 [06:14:50.779878] Epoch: [14] [260/850] eta: 0:08:39 lr: 0.000858 loss: 0.2467 (0.2561) loss_rec_all: 0.2805 (0.2900) loss_rec_sfr: 0.3838 (0.3958) loss_cl: -0.3658 (-0.3661) time: 0.8592 data: 0.0002 max mem: 29859 [06:15:08.004811] Epoch: [14] [280/850] eta: 0:08:20 lr: 0.000860 loss: 0.2422 (0.2554) loss_rec_all: 0.2757 (0.2892) loss_rec_sfr: 0.4157 (0.3973) loss_cl: -0.3663 (-0.3661) time: 0.8612 data: 0.0002 max mem: 29859 [06:15:25.265305] Epoch: [14] [300/850] eta: 0:08:02 lr: 0.000861 loss: 0.2430 (0.2550) loss_rec_all: 0.2769 (0.2888) loss_rec_sfr: 0.4102 (0.3981) loss_cl: -0.3659 (-0.3661) time: 0.8630 data: 0.0002 max mem: 29859 [06:15:42.529785] Epoch: [14] [320/850] eta: 0:07:44 lr: 0.000863 loss: 0.2462 (0.2548) loss_rec_all: 0.2804 (0.2886) loss_rec_sfr: 0.4159 (0.3988) loss_cl: -0.3669 (-0.3661) time: 0.8632 data: 0.0002 max mem: 29859 [06:15:59.722091] Epoch: [14] [340/850] eta: 0:07:26 lr: 0.000864 loss: 0.2474 (0.2550) loss_rec_all: 0.2814 (0.2888) loss_rec_sfr: 0.4390 (0.4001) loss_cl: -0.3670 (-0.3662) time: 0.8596 data: 0.0002 max mem: 29859 [06:16:17.030966] Epoch: [14] [360/850] eta: 0:07:08 lr: 0.000865 loss: 0.2443 (0.2547) loss_rec_all: 0.2783 (0.2885) loss_rec_sfr: 0.3386 (0.3981) loss_cl: -0.3672 (-0.3662) time: 0.8653 data: 0.0003 max mem: 29859 [06:16:34.221471] Epoch: [14] [380/850] eta: 0:06:50 lr: 0.000867 loss: 0.2409 (0.2543) loss_rec_all: 0.2752 (0.2881) loss_rec_sfr: 0.3943 (0.3968) loss_cl: -0.3660 (-0.3662) time: 0.8595 data: 0.0002 max mem: 29859 [06:16:51.456217] Epoch: [14] [400/850] eta: 0:06:33 lr: 0.000868 loss: 0.2445 (0.2539) loss_rec_all: 0.2781 (0.2878) loss_rec_sfr: 0.3721 (0.3956) loss_cl: -0.3665 (-0.3662) time: 0.8617 data: 0.0002 max mem: 29859 [06:17:08.724774] Epoch: [14] [420/850] eta: 0:06:15 lr: 0.000869 loss: 0.2413 (0.2536) loss_rec_all: 0.2757 (0.2875) loss_rec_sfr: 0.3912 (0.3945) loss_cl: -0.3659 (-0.3662) time: 0.8634 data: 0.0003 max mem: 29859 [06:17:25.948220] Epoch: [14] [440/850] eta: 0:05:57 lr: 0.000871 loss: 0.2363 (0.2530) loss_rec_all: 0.2703 (0.2869) loss_rec_sfr: 0.3968 (0.3943) loss_cl: -0.3652 (-0.3661) time: 0.8611 data: 0.0002 max mem: 29859 [06:17:43.158362] Epoch: [14] [460/850] eta: 0:05:40 lr: 0.000872 loss: 0.2347 (0.2525) loss_rec_all: 0.2688 (0.2864) loss_rec_sfr: 0.3628 (0.3933) loss_cl: -0.3665 (-0.3662) time: 0.8605 data: 0.0002 max mem: 29859 [06:18:00.463396] Epoch: [14] [480/850] eta: 0:05:22 lr: 0.000874 loss: 0.2352 (0.2519) loss_rec_all: 0.2697 (0.2857) loss_rec_sfr: 0.3714 (0.3923) loss_cl: -0.3668 (-0.3662) time: 0.8652 data: 0.0003 max mem: 29859 [06:18:17.649537] Epoch: [14] [500/850] eta: 0:05:04 lr: 0.000875 loss: 0.2379 (0.2514) loss_rec_all: 0.2719 (0.2853) loss_rec_sfr: 0.3893 (0.3920) loss_cl: -0.3661 (-0.3662) time: 0.8593 data: 0.0002 max mem: 29859 [06:18:34.892629] Epoch: [14] [520/850] eta: 0:04:47 lr: 0.000877 loss: 0.2359 (0.2508) loss_rec_all: 0.2698 (0.2847) loss_rec_sfr: 0.3835 (0.3913) loss_cl: -0.3665 (-0.3662) time: 0.8621 data: 0.0002 max mem: 29859 [06:18:52.167809] Epoch: [14] [540/850] eta: 0:04:29 lr: 0.000878 loss: 0.2454 (0.2510) loss_rec_all: 0.2792 (0.2849) loss_rec_sfr: 0.4020 (0.3917) loss_cl: -0.3666 (-0.3662) time: 0.8637 data: 0.0002 max mem: 29859 [06:19:09.400333] Epoch: [14] [560/850] eta: 0:04:12 lr: 0.000880 loss: 0.2382 (0.2507) loss_rec_all: 0.2727 (0.2846) loss_rec_sfr: 0.3537 (0.3913) loss_cl: -0.3665 (-0.3662) time: 0.8616 data: 0.0002 max mem: 29859 [06:19:26.608550] Epoch: [14] [580/850] eta: 0:03:54 lr: 0.000881 loss: 0.2408 (0.2505) loss_rec_all: 0.2752 (0.2844) loss_rec_sfr: 0.3814 (0.3911) loss_cl: -0.3663 (-0.3662) time: 0.8603 data: 0.0002 max mem: 29859 [06:19:43.900392] Epoch: [14] [600/850] eta: 0:03:37 lr: 0.000882 loss: 0.2528 (0.2507) loss_rec_all: 0.2859 (0.2846) loss_rec_sfr: 0.4217 (0.3919) loss_cl: -0.3657 (-0.3662) time: 0.8645 data: 0.0003 max mem: 29859 [06:20:01.095905] Epoch: [14] [620/850] eta: 0:03:19 lr: 0.000883 loss: 0.2428 (0.2508) loss_rec_all: 0.2767 (0.2846) loss_rec_sfr: 0.3977 (0.3917) loss_cl: -0.3670 (-0.3662) time: 0.8597 data: 0.0002 max mem: 29859 [06:20:18.370125] Epoch: [14] [640/850] eta: 0:03:02 lr: 0.000885 loss: 0.2416 (0.2506) loss_rec_all: 0.2757 (0.2845) loss_rec_sfr: 0.3995 (0.3916) loss_cl: -0.3665 (-0.3662) time: 0.8636 data: 0.0002 max mem: 29859 [06:20:35.605811] Epoch: [14] [660/850] eta: 0:02:45 lr: 0.000886 loss: 0.2441 (0.2505) loss_rec_all: 0.2780 (0.2844) loss_rec_sfr: 0.4212 (0.3919) loss_cl: -0.3656 (-0.3662) time: 0.8617 data: 0.0002 max mem: 29859 [06:20:52.832498] Epoch: [14] [680/850] eta: 0:02:27 lr: 0.000888 loss: 0.2372 (0.2502) loss_rec_all: 0.2709 (0.2841) loss_rec_sfr: 0.3714 (0.3913) loss_cl: -0.3660 (-0.3662) time: 0.8613 data: 0.0002 max mem: 29859 [06:21:10.079533] Epoch: [14] [700/850] eta: 0:02:10 lr: 0.000889 loss: 0.2349 (0.2499) loss_rec_all: 0.2689 (0.2838) loss_rec_sfr: 0.3978 (0.3912) loss_cl: -0.3672 (-0.3662) time: 0.8623 data: 0.0003 max mem: 29859 [06:21:27.360584] Epoch: [14] [720/850] eta: 0:01:52 lr: 0.000891 loss: 0.2353 (0.2496) loss_rec_all: 0.2697 (0.2835) loss_rec_sfr: 0.3817 (0.3909) loss_cl: -0.3659 (-0.3662) time: 0.8640 data: 0.0003 max mem: 29859 [06:21:44.559414] Epoch: [14] [740/850] eta: 0:01:35 lr: 0.000892 loss: 0.2396 (0.2495) loss_rec_all: 0.2734 (0.2834) loss_rec_sfr: 0.4075 (0.3914) loss_cl: -0.3665 (-0.3662) time: 0.8599 data: 0.0002 max mem: 29859 [06:22:01.864822] Epoch: [14] [760/850] eta: 0:01:18 lr: 0.000894 loss: 0.2387 (0.2493) loss_rec_all: 0.2723 (0.2831) loss_rec_sfr: 0.4130 (0.3917) loss_cl: -0.3658 (-0.3662) time: 0.8651 data: 0.0003 max mem: 29859 [06:22:19.070116] Epoch: [14] [780/850] eta: 0:01:00 lr: 0.000895 loss: 0.2494 (0.2494) loss_rec_all: 0.2840 (0.2833) loss_rec_sfr: 0.3878 (0.3916) loss_cl: -0.3661 (-0.3662) time: 0.8602 data: 0.0002 max mem: 29859 [06:22:36.303173] Epoch: [14] [800/850] eta: 0:00:43 lr: 0.000896 loss: 0.2420 (0.2493) loss_rec_all: 0.2764 (0.2832) loss_rec_sfr: 0.3730 (0.3910) loss_cl: -0.3652 (-0.3662) time: 0.8616 data: 0.0002 max mem: 29859 [06:22:53.580770] Epoch: [14] [820/850] eta: 0:00:26 lr: 0.000898 loss: 0.2401 (0.2492) loss_rec_all: 0.2738 (0.2830) loss_rec_sfr: 0.3759 (0.3904) loss_cl: -0.3654 (-0.3662) time: 0.8638 data: 0.0002 max mem: 29859 [06:23:10.812243] Epoch: [14] [840/850] eta: 0:00:08 lr: 0.000899 loss: 0.2373 (0.2490) loss_rec_all: 0.2719 (0.2829) loss_rec_sfr: 0.3649 (0.3899) loss_cl: -0.3671 (-0.3662) time: 0.8615 data: 0.0004 max mem: 29859 [06:23:18.545622] Epoch: [14] [849/850] eta: 0:00:00 lr: 0.000900 loss: 0.2371 (0.2489) loss_rec_all: 0.2717 (0.2828) loss_rec_sfr: 0.3728 (0.3896) loss_cl: -0.3674 (-0.3662) time: 0.8612 data: 0.0004 max mem: 29859 [06:23:18.719651] Epoch: [14] Total time: 0:12:17 (0.8678 s / it) [06:23:18.723731] Averaged stats: lr: 0.000900 loss: 0.2371 (0.2492) loss_rec_all: 0.2717 (0.2831) loss_rec_sfr: 0.3728 (0.3897) loss_cl: -0.3674 (-0.3661) [06:23:18.729538] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [06:23:23.466715] Epoch: [15] [ 0/850] eta: 1:07:05 lr: 0.000900 loss: 0.2286 (0.2286) loss_rec_all: 0.2628 (0.2628) loss_rec_sfr: 0.3601 (0.3601) loss_cl: -0.3671 (-0.3671) time: 4.7360 data: 3.4492 max mem: 29859 [06:23:40.704019] Epoch: [15] [ 20/850] eta: 0:14:28 lr: 0.000901 loss: 0.2415 (0.2446) loss_rec_all: 0.2746 (0.2784) loss_rec_sfr: 0.3961 (0.3991) loss_cl: -0.3666 (-0.3665) time: 0.8617 data: 0.0002 max mem: 29859 [06:23:57.949596] Epoch: [15] [ 40/850] eta: 0:12:54 lr: 0.000903 loss: 0.2402 (0.2443) loss_rec_all: 0.2740 (0.2781) loss_rec_sfr: 0.3986 (0.3933) loss_cl: -0.3654 (-0.3660) time: 0.8622 data: 0.0002 max mem: 29859 [06:24:15.123623] Epoch: [15] [ 60/850] eta: 0:12:10 lr: 0.000904 loss: 0.2396 (0.2441) loss_rec_all: 0.2733 (0.2779) loss_rec_sfr: 0.4041 (0.3940) loss_cl: -0.3647 (-0.3656) time: 0.8587 data: 0.0002 max mem: 29859 [06:24:32.415027] Epoch: [15] [ 80/850] eta: 0:11:40 lr: 0.000906 loss: 0.2286 (0.2412) loss_rec_all: 0.2629 (0.2751) loss_rec_sfr: 0.3510 (0.3852) loss_cl: -0.3668 (-0.3658) time: 0.8645 data: 0.0003 max mem: 29859 [06:24:49.642317] Epoch: [15] [100/850] eta: 0:11:15 lr: 0.000907 loss: 0.2305 (0.2398) loss_rec_all: 0.2641 (0.2737) loss_rec_sfr: 0.4033 (0.3851) loss_cl: -0.3666 (-0.3659) time: 0.8613 data: 0.0002 max mem: 29859 [06:25:06.871585] Epoch: [15] [120/850] eta: 0:10:52 lr: 0.000908 loss: 0.2343 (0.2395) loss_rec_all: 0.2686 (0.2734) loss_rec_sfr: 0.3883 (0.3851) loss_cl: -0.3666 (-0.3660) time: 0.8614 data: 0.0002 max mem: 29859 [06:25:24.134361] Epoch: [15] [140/850] eta: 0:10:31 lr: 0.000910 loss: 0.2283 (0.2390) loss_rec_all: 0.2629 (0.2729) loss_rec_sfr: 0.3972 (0.3845) loss_cl: -0.3669 (-0.3661) time: 0.8631 data: 0.0003 max mem: 29859 [06:25:41.400472] Epoch: [15] [160/850] eta: 0:10:11 lr: 0.000911 loss: 0.2348 (0.2391) loss_rec_all: 0.2689 (0.2730) loss_rec_sfr: 0.3766 (0.3857) loss_cl: -0.3664 (-0.3662) time: 0.8633 data: 0.0002 max mem: 29859 [06:25:58.598295] Epoch: [15] [180/850] eta: 0:09:51 lr: 0.000912 loss: 0.2385 (0.2391) loss_rec_all: 0.2721 (0.2730) loss_rec_sfr: 0.3822 (0.3871) loss_cl: -0.3654 (-0.3661) time: 0.8598 data: 0.0002 max mem: 29859 [06:26:15.887015] Epoch: [15] [200/850] eta: 0:09:32 lr: 0.000914 loss: 0.2343 (0.2393) loss_rec_all: 0.2682 (0.2732) loss_rec_sfr: 0.4044 (0.3884) loss_cl: -0.3663 (-0.3661) time: 0.8644 data: 0.0002 max mem: 29859 [06:26:33.099857] Epoch: [15] [220/850] eta: 0:09:14 lr: 0.000915 loss: 0.2458 (0.2401) loss_rec_all: 0.2796 (0.2739) loss_rec_sfr: 0.4184 (0.3896) loss_cl: -0.3671 (-0.3661) time: 0.8606 data: 0.0002 max mem: 29859 [06:26:50.337730] Epoch: [15] [240/850] eta: 0:08:55 lr: 0.000917 loss: 0.2361 (0.2400) loss_rec_all: 0.2700 (0.2739) loss_rec_sfr: 0.3856 (0.3887) loss_cl: -0.3664 (-0.3662) time: 0.8618 data: 0.0002 max mem: 29859 [06:27:07.606266] Epoch: [15] [260/850] eta: 0:08:37 lr: 0.000918 loss: 0.2367 (0.2401) loss_rec_all: 0.2711 (0.2740) loss_rec_sfr: 0.3929 (0.3886) loss_cl: -0.3659 (-0.3661) time: 0.8634 data: 0.0003 max mem: 29859 [06:27:24.852074] Epoch: [15] [280/850] eta: 0:08:19 lr: 0.000920 loss: 0.2355 (0.2400) loss_rec_all: 0.2699 (0.2739) loss_rec_sfr: 0.3641 (0.3863) loss_cl: -0.3653 (-0.3661) time: 0.8622 data: 0.0002 max mem: 29859 [06:27:42.047947] Epoch: [15] [300/850] eta: 0:08:01 lr: 0.000921 loss: 0.2336 (0.2399) loss_rec_all: 0.2679 (0.2738) loss_rec_sfr: 0.4091 (0.3871) loss_cl: -0.3675 (-0.3661) time: 0.8597 data: 0.0002 max mem: 29859 [06:27:59.380578] Epoch: [15] [320/850] eta: 0:07:43 lr: 0.000923 loss: 0.2263 (0.2395) loss_rec_all: 0.2604 (0.2735) loss_rec_sfr: 0.3933 (0.3867) loss_cl: -0.3662 (-0.3661) time: 0.8665 data: 0.0003 max mem: 29859 [06:28:16.666873] Epoch: [15] [340/850] eta: 0:07:25 lr: 0.000924 loss: 0.2250 (0.2389) loss_rec_all: 0.2582 (0.2728) loss_rec_sfr: 0.4014 (0.3870) loss_cl: -0.3640 (-0.3660) time: 0.8641 data: 0.0003 max mem: 29859 [06:28:34.030499] Epoch: [15] [360/850] eta: 0:07:07 lr: 0.000925 loss: 0.2323 (0.2392) loss_rec_all: 0.2659 (0.2731) loss_rec_sfr: 0.4016 (0.3864) loss_cl: -0.3660 (-0.3660) time: 0.8681 data: 0.0003 max mem: 29859 [06:28:51.291877] Epoch: [15] [380/850] eta: 0:06:50 lr: 0.000927 loss: 0.2302 (0.2388) loss_rec_all: 0.2643 (0.2728) loss_rec_sfr: 0.3490 (0.3851) loss_cl: -0.3675 (-0.3661) time: 0.8630 data: 0.0002 max mem: 29859 [06:29:08.525838] Epoch: [15] [400/850] eta: 0:06:32 lr: 0.000928 loss: 0.2289 (0.2386) loss_rec_all: 0.2627 (0.2725) loss_rec_sfr: 0.3849 (0.3844) loss_cl: -0.3675 (-0.3662) time: 0.8616 data: 0.0002 max mem: 29859 [06:29:25.757926] Epoch: [15] [420/850] eta: 0:06:14 lr: 0.000929 loss: 0.2228 (0.2380) loss_rec_all: 0.2570 (0.2720) loss_rec_sfr: 0.3721 (0.3835) loss_cl: -0.3662 (-0.3662) time: 0.8615 data: 0.0002 max mem: 29859 [06:29:43.027272] Epoch: [15] [440/850] eta: 0:05:57 lr: 0.000931 loss: 0.2406 (0.2384) loss_rec_all: 0.2735 (0.2723) loss_rec_sfr: 0.4009 (0.3857) loss_cl: -0.3649 (-0.3661) time: 0.8634 data: 0.0003 max mem: 29859 [06:30:00.219616] Epoch: [15] [460/850] eta: 0:05:39 lr: 0.000932 loss: 0.2423 (0.2386) loss_rec_all: 0.2756 (0.2725) loss_rec_sfr: 0.3204 (0.3858) loss_cl: -0.3658 (-0.3661) time: 0.8596 data: 0.0002 max mem: 29859 [06:30:17.541105] Epoch: [15] [480/850] eta: 0:05:22 lr: 0.000934 loss: 0.2465 (0.2391) loss_rec_all: 0.2804 (0.2730) loss_rec_sfr: 0.4143 (0.3870) loss_cl: -0.3676 (-0.3661) time: 0.8660 data: 0.0003 max mem: 29859 [06:30:34.764774] Epoch: [15] [500/850] eta: 0:05:04 lr: 0.000935 loss: 0.2410 (0.2394) loss_rec_all: 0.2749 (0.2733) loss_rec_sfr: 0.3963 (0.3871) loss_cl: -0.3665 (-0.3662) time: 0.8611 data: 0.0002 max mem: 29859 [06:30:51.993708] Epoch: [15] [520/850] eta: 0:04:47 lr: 0.000937 loss: 0.2364 (0.2393) loss_rec_all: 0.2708 (0.2732) loss_rec_sfr: 0.3932 (0.3867) loss_cl: -0.3669 (-0.3662) time: 0.8614 data: 0.0002 max mem: 29859 [06:31:09.253853] Epoch: [15] [540/850] eta: 0:04:29 lr: 0.000938 loss: 0.2303 (0.2391) loss_rec_all: 0.2641 (0.2730) loss_rec_sfr: 0.3671 (0.3862) loss_cl: -0.3660 (-0.3662) time: 0.8629 data: 0.0002 max mem: 29859 [06:31:26.528091] Epoch: [15] [560/850] eta: 0:04:12 lr: 0.000940 loss: 0.2304 (0.2389) loss_rec_all: 0.2637 (0.2728) loss_rec_sfr: 0.3029 (0.3849) loss_cl: -0.3656 (-0.3662) time: 0.8637 data: 0.0002 max mem: 29859 [06:31:43.722771] Epoch: [15] [580/850] eta: 0:03:54 lr: 0.000941 loss: 0.2273 (0.2388) loss_rec_all: 0.2609 (0.2727) loss_rec_sfr: 0.3468 (0.3837) loss_cl: -0.3653 (-0.3661) time: 0.8597 data: 0.0002 max mem: 29859 [06:32:01.012832] Epoch: [15] [600/850] eta: 0:03:37 lr: 0.000942 loss: 0.2257 (0.2384) loss_rec_all: 0.2598 (0.2723) loss_rec_sfr: 0.3543 (0.3833) loss_cl: -0.3665 (-0.3661) time: 0.8644 data: 0.0003 max mem: 29859 [06:32:18.246528] Epoch: [15] [620/850] eta: 0:03:19 lr: 0.000943 loss: 0.2235 (0.2380) loss_rec_all: 0.2582 (0.2720) loss_rec_sfr: 0.3833 (0.3824) loss_cl: -0.3672 (-0.3662) time: 0.8616 data: 0.0002 max mem: 29859 [06:32:35.490942] Epoch: [15] [640/850] eta: 0:03:02 lr: 0.000945 loss: 0.2211 (0.2376) loss_rec_all: 0.2558 (0.2715) loss_rec_sfr: 0.3560 (0.3820) loss_cl: -0.3663 (-0.3662) time: 0.8621 data: 0.0002 max mem: 29859 [06:32:52.720335] Epoch: [15] [660/850] eta: 0:02:44 lr: 0.000946 loss: 0.2161 (0.2370) loss_rec_all: 0.2509 (0.2710) loss_rec_sfr: 0.3491 (0.3813) loss_cl: -0.3664 (-0.3662) time: 0.8614 data: 0.0002 max mem: 29859 [06:33:10.028207] Epoch: [15] [680/850] eta: 0:02:27 lr: 0.000948 loss: 0.2185 (0.2366) loss_rec_all: 0.2530 (0.2705) loss_rec_sfr: 0.2907 (0.3798) loss_cl: -0.3673 (-0.3662) time: 0.8653 data: 0.0003 max mem: 29859 [06:33:27.219234] Epoch: [15] [700/850] eta: 0:02:10 lr: 0.000949 loss: 0.2322 (0.2367) loss_rec_all: 0.2664 (0.2706) loss_rec_sfr: 0.3802 (0.3799) loss_cl: -0.3676 (-0.3662) time: 0.8595 data: 0.0002 max mem: 29859 [06:33:44.452417] Epoch: [15] [720/850] eta: 0:01:52 lr: 0.000951 loss: 0.2236 (0.2364) loss_rec_all: 0.2572 (0.2704) loss_rec_sfr: 0.3316 (0.3789) loss_cl: -0.3663 (-0.3662) time: 0.8616 data: 0.0002 max mem: 29859 [06:34:01.738157] Epoch: [15] [740/850] eta: 0:01:35 lr: 0.000952 loss: 0.2221 (0.2363) loss_rec_all: 0.2561 (0.2703) loss_rec_sfr: 0.3738 (0.3784) loss_cl: -0.3643 (-0.3662) time: 0.8642 data: 0.0003 max mem: 29859 [06:34:18.956937] Epoch: [15] [760/850] eta: 0:01:18 lr: 0.000954 loss: 0.2180 (0.2359) loss_rec_all: 0.2522 (0.2699) loss_rec_sfr: 0.3673 (0.3777) loss_cl: -0.3651 (-0.3662) time: 0.8609 data: 0.0002 max mem: 29859 [06:34:36.147114] Epoch: [15] [780/850] eta: 0:01:00 lr: 0.000955 loss: 0.2139 (0.2354) loss_rec_all: 0.2486 (0.2694) loss_rec_sfr: 0.3378 (0.3771) loss_cl: -0.3666 (-0.3662) time: 0.8595 data: 0.0002 max mem: 29859 [06:34:53.445690] Epoch: [15] [800/850] eta: 0:00:43 lr: 0.000956 loss: 0.2174 (0.2351) loss_rec_all: 0.2516 (0.2690) loss_rec_sfr: 0.3386 (0.3764) loss_cl: -0.3675 (-0.3662) time: 0.8649 data: 0.0003 max mem: 29859 [06:35:10.634961] Epoch: [15] [820/850] eta: 0:00:26 lr: 0.000958 loss: 0.2310 (0.2351) loss_rec_all: 0.2646 (0.2691) loss_rec_sfr: 0.3960 (0.3768) loss_cl: -0.3678 (-0.3662) time: 0.8594 data: 0.0002 max mem: 29859 [06:35:27.872980] Epoch: [15] [840/850] eta: 0:00:08 lr: 0.000959 loss: 0.2271 (0.2350) loss_rec_all: 0.2613 (0.2689) loss_rec_sfr: 0.3853 (0.3766) loss_cl: -0.3666 (-0.3662) time: 0.8619 data: 0.0005 max mem: 29859 [06:35:35.600381] Epoch: [15] [849/850] eta: 0:00:00 lr: 0.000960 loss: 0.2230 (0.2348) loss_rec_all: 0.2570 (0.2688) loss_rec_sfr: 0.3377 (0.3764) loss_cl: -0.3670 (-0.3663) time: 0.8612 data: 0.0005 max mem: 29859 [06:35:35.786156] Epoch: [15] Total time: 0:12:17 (0.8671 s / it) [06:35:35.789075] Averaged stats: lr: 0.000960 loss: 0.2230 (0.2348) loss_rec_all: 0.2570 (0.2688) loss_rec_sfr: 0.3377 (0.3735) loss_cl: -0.3670 (-0.3662) [06:35:35.795494] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [06:35:40.241460] Epoch: [16] [ 0/850] eta: 1:02:58 lr: 0.000960 loss: 0.2153 (0.2153) loss_rec_all: 0.2490 (0.2490) loss_rec_sfr: 0.4234 (0.4234) loss_cl: -0.3665 (-0.3665) time: 4.4452 data: 3.4864 max mem: 29859 [06:35:57.400197] Epoch: [16] [ 20/850] eta: 0:14:13 lr: 0.000961 loss: 0.2269 (0.2295) loss_rec_all: 0.2602 (0.2633) loss_rec_sfr: 0.3732 (0.3706) loss_cl: -0.3639 (-0.3644) time: 0.8579 data: 0.0002 max mem: 29859 [06:36:14.612532] Epoch: [16] [ 40/850] eta: 0:12:46 lr: 0.000963 loss: 0.2287 (0.2312) loss_rec_all: 0.2624 (0.2651) loss_rec_sfr: 0.3601 (0.3693) loss_cl: -0.3661 (-0.3651) time: 0.8606 data: 0.0002 max mem: 29859 [06:36:31.868185] Epoch: [16] [ 60/850] eta: 0:12:06 lr: 0.000964 loss: 0.2231 (0.2296) loss_rec_all: 0.2575 (0.2636) loss_rec_sfr: 0.3759 (0.3681) loss_cl: -0.3676 (-0.3659) time: 0.8627 data: 0.0003 max mem: 29859 [06:36:49.107344] Epoch: [16] [ 80/850] eta: 0:11:36 lr: 0.000966 loss: 0.2203 (0.2280) loss_rec_all: 0.2543 (0.2620) loss_rec_sfr: 0.3750 (0.3742) loss_cl: -0.3663 (-0.3659) time: 0.8619 data: 0.0002 max mem: 29859 [06:37:06.289875] Epoch: [16] [100/850] eta: 0:11:11 lr: 0.000967 loss: 0.2206 (0.2271) loss_rec_all: 0.2551 (0.2611) loss_rec_sfr: 0.3848 (0.3730) loss_cl: -0.3657 (-0.3659) time: 0.8590 data: 0.0002 max mem: 29859 [06:37:23.577450] Epoch: [16] [120/850] eta: 0:10:50 lr: 0.000968 loss: 0.2206 (0.2272) loss_rec_all: 0.2548 (0.2612) loss_rec_sfr: 0.3789 (0.3715) loss_cl: -0.3667 (-0.3659) time: 0.8641 data: 0.0003 max mem: 29859 [06:37:40.797634] Epoch: [16] [140/850] eta: 0:10:29 lr: 0.000970 loss: 0.2172 (0.2271) loss_rec_all: 0.2513 (0.2611) loss_rec_sfr: 0.3659 (0.3686) loss_cl: -0.3673 (-0.3661) time: 0.8610 data: 0.0002 max mem: 29859 [06:37:58.011109] Epoch: [16] [160/850] eta: 0:10:09 lr: 0.000971 loss: 0.2124 (0.2262) loss_rec_all: 0.2474 (0.2603) loss_rec_sfr: 0.3747 (0.3662) loss_cl: -0.3669 (-0.3662) time: 0.8606 data: 0.0002 max mem: 29859 [06:38:15.217150] Epoch: [16] [180/850] eta: 0:09:50 lr: 0.000972 loss: 0.2130 (0.2248) loss_rec_all: 0.2476 (0.2589) loss_rec_sfr: 0.3480 (0.3641) loss_cl: -0.3656 (-0.3662) time: 0.8602 data: 0.0002 max mem: 29859 [06:38:32.504013] Epoch: [16] [200/850] eta: 0:09:31 lr: 0.000974 loss: 0.2183 (0.2244) loss_rec_all: 0.2526 (0.2585) loss_rec_sfr: 0.3044 (0.3602) loss_cl: -0.3658 (-0.3661) time: 0.8643 data: 0.0003 max mem: 29859 [06:38:49.684142] Epoch: [16] [220/850] eta: 0:09:12 lr: 0.000975 loss: 0.2212 (0.2247) loss_rec_all: 0.2553 (0.2588) loss_rec_sfr: 0.3539 (0.3590) loss_cl: -0.3661 (-0.3661) time: 0.8590 data: 0.0002 max mem: 29859 [06:39:06.931124] Epoch: [16] [240/850] eta: 0:08:54 lr: 0.000977 loss: 0.2248 (0.2252) loss_rec_all: 0.2588 (0.2592) loss_rec_sfr: 0.3853 (0.3614) loss_cl: -0.3666 (-0.3662) time: 0.8623 data: 0.0002 max mem: 29859 [06:39:24.166976] Epoch: [16] [260/850] eta: 0:08:36 lr: 0.000978 loss: 0.2184 (0.2250) loss_rec_all: 0.2527 (0.2591) loss_rec_sfr: 0.3728 (0.3617) loss_cl: -0.3665 (-0.3662) time: 0.8617 data: 0.0002 max mem: 29859 [06:39:41.386664] Epoch: [16] [280/850] eta: 0:08:18 lr: 0.000980 loss: 0.2110 (0.2244) loss_rec_all: 0.2449 (0.2585) loss_rec_sfr: 0.3375 (0.3600) loss_cl: -0.3659 (-0.3662) time: 0.8609 data: 0.0002 max mem: 29859 [06:39:58.596081] Epoch: [16] [300/850] eta: 0:08:00 lr: 0.000981 loss: 0.2197 (0.2244) loss_rec_all: 0.2538 (0.2585) loss_rec_sfr: 0.3775 (0.3602) loss_cl: -0.3669 (-0.3662) time: 0.8604 data: 0.0002 max mem: 29859 [06:40:15.909309] Epoch: [16] [320/850] eta: 0:07:42 lr: 0.000983 loss: 0.2154 (0.2242) loss_rec_all: 0.2498 (0.2583) loss_rec_sfr: 0.3804 (0.3607) loss_cl: -0.3663 (-0.3662) time: 0.8656 data: 0.0002 max mem: 29859 [06:40:33.073938] Epoch: [16] [340/850] eta: 0:07:24 lr: 0.000984 loss: 0.2090 (0.2234) loss_rec_all: 0.2435 (0.2576) loss_rec_sfr: 0.2865 (0.3584) loss_cl: -0.3664 (-0.3663) time: 0.8582 data: 0.0002 max mem: 29859 [06:40:50.305375] Epoch: [16] [360/850] eta: 0:07:06 lr: 0.000985 loss: 0.2102 (0.2229) loss_rec_all: 0.2438 (0.2570) loss_rec_sfr: 0.2910 (0.3570) loss_cl: -0.3659 (-0.3663) time: 0.8615 data: 0.0002 max mem: 29859 [06:41:07.551923] Epoch: [16] [380/850] eta: 0:06:49 lr: 0.000987 loss: 0.2086 (0.2225) loss_rec_all: 0.2428 (0.2566) loss_rec_sfr: 0.3696 (0.3573) loss_cl: -0.3662 (-0.3663) time: 0.8623 data: 0.0002 max mem: 29859 [06:41:24.766862] Epoch: [16] [400/850] eta: 0:06:31 lr: 0.000988 loss: 0.2123 (0.2220) loss_rec_all: 0.2463 (0.2562) loss_rec_sfr: 0.3806 (0.3581) loss_cl: -0.3663 (-0.3663) time: 0.8607 data: 0.0002 max mem: 29859 [06:41:41.960754] Epoch: [16] [420/850] eta: 0:06:13 lr: 0.000989 loss: 0.2216 (0.2222) loss_rec_all: 0.2561 (0.2563) loss_rec_sfr: 0.3310 (0.3579) loss_cl: -0.3665 (-0.3663) time: 0.8596 data: 0.0002 max mem: 29859 [06:41:59.258188] Epoch: [16] [440/850] eta: 0:05:56 lr: 0.000991 loss: 0.2132 (0.2220) loss_rec_all: 0.2479 (0.2561) loss_rec_sfr: 0.3504 (0.3577) loss_cl: -0.3666 (-0.3663) time: 0.8648 data: 0.0003 max mem: 29859 [06:42:16.433788] Epoch: [16] [460/850] eta: 0:05:38 lr: 0.000992 loss: 0.2193 (0.2221) loss_rec_all: 0.2534 (0.2563) loss_rec_sfr: 0.3135 (0.3567) loss_cl: -0.3656 (-0.3663) time: 0.8587 data: 0.0002 max mem: 29859 [06:42:33.660321] Epoch: [16] [480/850] eta: 0:05:21 lr: 0.000994 loss: 0.2144 (0.2219) loss_rec_all: 0.2487 (0.2560) loss_rec_sfr: 0.3286 (0.3561) loss_cl: -0.3660 (-0.3663) time: 0.8613 data: 0.0002 max mem: 29859 [06:42:50.931714] Epoch: [16] [500/850] eta: 0:05:03 lr: 0.000995 loss: 0.2189 (0.2219) loss_rec_all: 0.2532 (0.2560) loss_rec_sfr: 0.3859 (0.3565) loss_cl: -0.3661 (-0.3663) time: 0.8635 data: 0.0002 max mem: 29859 [06:43:08.146898] Epoch: [16] [520/850] eta: 0:04:46 lr: 0.000997 loss: 0.2130 (0.2216) loss_rec_all: 0.2468 (0.2558) loss_rec_sfr: 0.3237 (0.3563) loss_cl: -0.3673 (-0.3663) time: 0.8607 data: 0.0002 max mem: 29859 [06:43:25.328066] Epoch: [16] [540/850] eta: 0:04:29 lr: 0.000998 loss: 0.2117 (0.2214) loss_rec_all: 0.2458 (0.2556) loss_rec_sfr: 0.3630 (0.3557) loss_cl: -0.3671 (-0.3663) time: 0.8590 data: 0.0002 max mem: 29859 [06:43:42.666045] Epoch: [16] [560/850] eta: 0:04:11 lr: 0.001000 loss: 0.2062 (0.2211) loss_rec_all: 0.2405 (0.2552) loss_rec_sfr: 0.3224 (0.3552) loss_cl: -0.3660 (-0.3663) time: 0.8668 data: 0.0003 max mem: 29859 [06:43:59.857337] Epoch: [16] [580/850] eta: 0:03:54 lr: 0.001001 loss: 0.2052 (0.2207) loss_rec_all: 0.2393 (0.2548) loss_rec_sfr: 0.3592 (0.3551) loss_cl: -0.3658 (-0.3663) time: 0.8595 data: 0.0002 max mem: 29859 [06:44:17.087619] Epoch: [16] [600/850] eta: 0:03:36 lr: 0.001002 loss: 0.2153 (0.2207) loss_rec_all: 0.2490 (0.2548) loss_rec_sfr: 0.3842 (0.3558) loss_cl: -0.3666 (-0.3663) time: 0.8615 data: 0.0002 max mem: 29859 [06:44:34.358002] Epoch: [16] [620/850] eta: 0:03:19 lr: 0.001003 loss: 0.2126 (0.2205) loss_rec_all: 0.2472 (0.2546) loss_rec_sfr: 0.3628 (0.3557) loss_cl: -0.3672 (-0.3663) time: 0.8634 data: 0.0002 max mem: 29859 [06:44:51.610784] Epoch: [16] [640/850] eta: 0:03:02 lr: 0.001005 loss: 0.2053 (0.2200) loss_rec_all: 0.2402 (0.2542) loss_rec_sfr: 0.2771 (0.3540) loss_cl: -0.3673 (-0.3664) time: 0.8626 data: 0.0002 max mem: 29859 [06:45:08.805810] Epoch: [16] [660/850] eta: 0:02:44 lr: 0.001006 loss: 0.2143 (0.2200) loss_rec_all: 0.2489 (0.2542) loss_rec_sfr: 0.3689 (0.3542) loss_cl: -0.3653 (-0.3663) time: 0.8597 data: 0.0002 max mem: 29859 [06:45:26.106363] Epoch: [16] [680/850] eta: 0:02:27 lr: 0.001008 loss: 0.2048 (0.2198) loss_rec_all: 0.2386 (0.2539) loss_rec_sfr: 0.3702 (0.3541) loss_cl: -0.3640 (-0.3663) time: 0.8649 data: 0.0002 max mem: 29859 [06:45:43.296790] Epoch: [16] [700/850] eta: 0:02:09 lr: 0.001009 loss: 0.2092 (0.2196) loss_rec_all: 0.2430 (0.2538) loss_rec_sfr: 0.3276 (0.3533) loss_cl: -0.3663 (-0.3662) time: 0.8595 data: 0.0002 max mem: 29859 [06:46:00.522301] Epoch: [16] [720/850] eta: 0:01:52 lr: 0.001011 loss: 0.2068 (0.2193) loss_rec_all: 0.2414 (0.2535) loss_rec_sfr: 0.3070 (0.3524) loss_cl: -0.3688 (-0.3663) time: 0.8612 data: 0.0002 max mem: 29859 [06:46:17.766450] Epoch: [16] [740/850] eta: 0:01:35 lr: 0.001012 loss: 0.2152 (0.2194) loss_rec_all: 0.2499 (0.2535) loss_rec_sfr: 0.3705 (0.3524) loss_cl: -0.3671 (-0.3663) time: 0.8621 data: 0.0002 max mem: 29859 [06:46:35.030129] Epoch: [16] [760/850] eta: 0:01:17 lr: 0.001014 loss: 0.2104 (0.2192) loss_rec_all: 0.2439 (0.2534) loss_rec_sfr: 0.3776 (0.3526) loss_cl: -0.3659 (-0.3663) time: 0.8631 data: 0.0002 max mem: 29859 [06:46:52.217950] Epoch: [16] [780/850] eta: 0:01:00 lr: 0.001015 loss: 0.2067 (0.2189) loss_rec_all: 0.2411 (0.2531) loss_rec_sfr: 0.2735 (0.3517) loss_cl: -0.3654 (-0.3663) time: 0.8593 data: 0.0002 max mem: 29859 [06:47:09.493544] Epoch: [16] [800/850] eta: 0:00:43 lr: 0.001016 loss: 0.2036 (0.2186) loss_rec_all: 0.2372 (0.2528) loss_rec_sfr: 0.3646 (0.3517) loss_cl: -0.3664 (-0.3663) time: 0.8637 data: 0.0002 max mem: 29859 [06:47:26.723320] Epoch: [16] [820/850] eta: 0:00:25 lr: 0.001018 loss: 0.2090 (0.2184) loss_rec_all: 0.2432 (0.2526) loss_rec_sfr: 0.3634 (0.3521) loss_cl: -0.3670 (-0.3663) time: 0.8614 data: 0.0002 max mem: 29859 [06:47:43.957985] Epoch: [16] [840/850] eta: 0:00:08 lr: 0.001019 loss: 0.2050 (0.2183) loss_rec_all: 0.2397 (0.2524) loss_rec_sfr: 0.3538 (0.3519) loss_cl: -0.3666 (-0.3663) time: 0.8617 data: 0.0005 max mem: 29859 [06:47:51.701314] Epoch: [16] [849/850] eta: 0:00:00 lr: 0.001020 loss: 0.2023 (0.2181) loss_rec_all: 0.2368 (0.2523) loss_rec_sfr: 0.3306 (0.3517) loss_cl: -0.3668 (-0.3663) time: 0.8616 data: 0.0004 max mem: 29859 [06:47:51.905527] Epoch: [16] Total time: 0:12:16 (0.8660 s / it) [06:47:51.914989] Averaged stats: lr: 0.001020 loss: 0.2023 (0.2179) loss_rec_all: 0.2368 (0.2521) loss_rec_sfr: 0.3306 (0.3507) loss_cl: -0.3668 (-0.3663) [06:47:51.932108] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [06:47:56.153224] Epoch: [17] [ 0/850] eta: 0:59:46 lr: 0.001020 loss: 0.1948 (0.1948) loss_rec_all: 0.2297 (0.2297) loss_rec_sfr: 0.2558 (0.2558) loss_cl: -0.3669 (-0.3669) time: 4.2199 data: 3.1943 max mem: 29859 [06:48:13.662827] Epoch: [17] [ 20/850] eta: 0:14:18 lr: 0.001021 loss: 0.2060 (0.2094) loss_rec_all: 0.2403 (0.2437) loss_rec_sfr: 0.3163 (0.3267) loss_cl: -0.3660 (-0.3661) time: 0.8754 data: 0.0002 max mem: 29859 [06:48:30.887001] Epoch: [17] [ 40/850] eta: 0:12:49 lr: 0.001023 loss: 0.2171 (0.2151) loss_rec_all: 0.2506 (0.2493) loss_rec_sfr: 0.3708 (0.3457) loss_cl: -0.3663 (-0.3662) time: 0.8612 data: 0.0002 max mem: 29859 [06:48:48.111377] Epoch: [17] [ 60/850] eta: 0:12:07 lr: 0.001024 loss: 0.2139 (0.2160) loss_rec_all: 0.2487 (0.2502) loss_rec_sfr: 0.3527 (0.3452) loss_cl: -0.3663 (-0.3662) time: 0.8612 data: 0.0002 max mem: 29859 [06:49:05.424125] Epoch: [17] [ 80/850] eta: 0:11:38 lr: 0.001026 loss: 0.2063 (0.2139) loss_rec_all: 0.2399 (0.2481) loss_rec_sfr: 0.3638 (0.3490) loss_cl: -0.3666 (-0.3663) time: 0.8656 data: 0.0003 max mem: 29859 [06:49:22.605255] Epoch: [17] [100/850] eta: 0:11:13 lr: 0.001027 loss: 0.2042 (0.2131) loss_rec_all: 0.2379 (0.2473) loss_rec_sfr: 0.3574 (0.3465) loss_cl: -0.3666 (-0.3663) time: 0.8590 data: 0.0002 max mem: 29859 [06:49:39.875410] Epoch: [17] [120/850] eta: 0:10:51 lr: 0.001028 loss: 0.2023 (0.2126) loss_rec_all: 0.2368 (0.2468) loss_rec_sfr: 0.3130 (0.3429) loss_cl: -0.3653 (-0.3662) time: 0.8634 data: 0.0002 max mem: 29859 [06:49:57.121606] Epoch: [17] [140/850] eta: 0:10:30 lr: 0.001030 loss: 0.1978 (0.2109) loss_rec_all: 0.2323 (0.2451) loss_rec_sfr: 0.3517 (0.3415) loss_cl: -0.3667 (-0.3662) time: 0.8623 data: 0.0002 max mem: 29859 [06:50:14.340333] Epoch: [17] [160/850] eta: 0:10:10 lr: 0.001031 loss: 0.1959 (0.2094) loss_rec_all: 0.2306 (0.2437) loss_rec_sfr: 0.2625 (0.3368) loss_cl: -0.3675 (-0.3664) time: 0.8609 data: 0.0002 max mem: 29859 [06:50:31.560713] Epoch: [17] [180/850] eta: 0:09:50 lr: 0.001032 loss: 0.2054 (0.2092) loss_rec_all: 0.2404 (0.2435) loss_rec_sfr: 0.3135 (0.3358) loss_cl: -0.3669 (-0.3664) time: 0.8609 data: 0.0002 max mem: 29859 [06:50:48.882951] Epoch: [17] [200/850] eta: 0:09:32 lr: 0.001034 loss: 0.2129 (0.2100) loss_rec_all: 0.2476 (0.2443) loss_rec_sfr: 0.3161 (0.3346) loss_cl: -0.3665 (-0.3664) time: 0.8661 data: 0.0002 max mem: 29859 [06:51:06.084778] Epoch: [17] [220/850] eta: 0:09:13 lr: 0.001035 loss: 0.2025 (0.2096) loss_rec_all: 0.2369 (0.2439) loss_rec_sfr: 0.3132 (0.3325) loss_cl: -0.3658 (-0.3664) time: 0.8600 data: 0.0002 max mem: 29859 [06:51:23.355575] Epoch: [17] [240/850] eta: 0:08:55 lr: 0.001037 loss: 0.2067 (0.2096) loss_rec_all: 0.2406 (0.2439) loss_rec_sfr: 0.3651 (0.3349) loss_cl: -0.3646 (-0.3662) time: 0.8635 data: 0.0002 max mem: 29859 [06:51:40.641928] Epoch: [17] [260/850] eta: 0:08:36 lr: 0.001038 loss: 0.2162 (0.2104) loss_rec_all: 0.2500 (0.2446) loss_rec_sfr: 0.3455 (0.3361) loss_cl: -0.3657 (-0.3662) time: 0.8643 data: 0.0002 max mem: 29859 [06:51:57.878097] Epoch: [17] [280/850] eta: 0:08:18 lr: 0.001040 loss: 0.2010 (0.2101) loss_rec_all: 0.2360 (0.2444) loss_rec_sfr: 0.3521 (0.3357) loss_cl: -0.3671 (-0.3663) time: 0.8618 data: 0.0002 max mem: 29859 [06:52:15.078764] Epoch: [17] [300/850] eta: 0:08:00 lr: 0.001041 loss: 0.1997 (0.2100) loss_rec_all: 0.2344 (0.2442) loss_rec_sfr: 0.3620 (0.3362) loss_cl: -0.3667 (-0.3663) time: 0.8600 data: 0.0002 max mem: 29859 [06:52:32.406865] Epoch: [17] [320/850] eta: 0:07:43 lr: 0.001043 loss: 0.2014 (0.2098) loss_rec_all: 0.2356 (0.2441) loss_rec_sfr: 0.3088 (0.3350) loss_cl: -0.3669 (-0.3663) time: 0.8663 data: 0.0003 max mem: 29859 [06:52:49.626944] Epoch: [17] [340/850] eta: 0:07:25 lr: 0.001044 loss: 0.2039 (0.2100) loss_rec_all: 0.2386 (0.2443) loss_rec_sfr: 0.3672 (0.3359) loss_cl: -0.3665 (-0.3664) time: 0.8609 data: 0.0002 max mem: 29859 [06:53:06.884341] Epoch: [17] [360/850] eta: 0:07:07 lr: 0.001045 loss: 0.2072 (0.2099) loss_rec_all: 0.2413 (0.2442) loss_rec_sfr: 0.3315 (0.3359) loss_cl: -0.3656 (-0.3663) time: 0.8628 data: 0.0002 max mem: 29859 [06:53:24.078831] Epoch: [17] [380/850] eta: 0:06:49 lr: 0.001047 loss: 0.2009 (0.2096) loss_rec_all: 0.2353 (0.2439) loss_rec_sfr: 0.3500 (0.3358) loss_cl: -0.3665 (-0.3663) time: 0.8597 data: 0.0002 max mem: 29859 [06:53:41.357099] Epoch: [17] [400/850] eta: 0:06:32 lr: 0.001048 loss: 0.2064 (0.2097) loss_rec_all: 0.2412 (0.2440) loss_rec_sfr: 0.3781 (0.3370) loss_cl: -0.3671 (-0.3664) time: 0.8638 data: 0.0002 max mem: 29859 [06:53:58.552198] Epoch: [17] [420/850] eta: 0:06:14 lr: 0.001049 loss: 0.2084 (0.2097) loss_rec_all: 0.2426 (0.2440) loss_rec_sfr: 0.3584 (0.3369) loss_cl: -0.3663 (-0.3664) time: 0.8597 data: 0.0002 max mem: 29859 [06:54:15.829539] Epoch: [17] [440/850] eta: 0:05:56 lr: 0.001051 loss: 0.2020 (0.2094) loss_rec_all: 0.2360 (0.2437) loss_rec_sfr: 0.3163 (0.3366) loss_cl: -0.3669 (-0.3664) time: 0.8638 data: 0.0002 max mem: 29859 [06:54:33.030748] Epoch: [17] [460/850] eta: 0:05:39 lr: 0.001052 loss: 0.1944 (0.2090) loss_rec_all: 0.2292 (0.2433) loss_rec_sfr: 0.3150 (0.3359) loss_cl: -0.3657 (-0.3664) time: 0.8600 data: 0.0002 max mem: 29859 [06:54:50.255159] Epoch: [17] [480/850] eta: 0:05:21 lr: 0.001054 loss: 0.1936 (0.2085) loss_rec_all: 0.2285 (0.2428) loss_rec_sfr: 0.2580 (0.3344) loss_cl: -0.3661 (-0.3663) time: 0.8612 data: 0.0002 max mem: 29859 [06:55:07.505028] Epoch: [17] [500/850] eta: 0:05:04 lr: 0.001055 loss: 0.1966 (0.2081) loss_rec_all: 0.2313 (0.2424) loss_rec_sfr: 0.2980 (0.3337) loss_cl: -0.3663 (-0.3663) time: 0.8624 data: 0.0002 max mem: 29859 [06:55:24.741509] Epoch: [17] [520/850] eta: 0:04:46 lr: 0.001057 loss: 0.2023 (0.2079) loss_rec_all: 0.2370 (0.2422) loss_rec_sfr: 0.3238 (0.3338) loss_cl: -0.3668 (-0.3664) time: 0.8618 data: 0.0002 max mem: 29859 [06:55:41.947399] Epoch: [17] [540/850] eta: 0:04:29 lr: 0.001058 loss: 0.2029 (0.2079) loss_rec_all: 0.2376 (0.2422) loss_rec_sfr: 0.2995 (0.3332) loss_cl: -0.3666 (-0.3664) time: 0.8602 data: 0.0002 max mem: 29859 [06:55:59.219468] Epoch: [17] [560/850] eta: 0:04:11 lr: 0.001060 loss: 0.2010 (0.2078) loss_rec_all: 0.2346 (0.2421) loss_rec_sfr: 0.3622 (0.3343) loss_cl: -0.3657 (-0.3663) time: 0.8636 data: 0.0002 max mem: 29859 [06:56:16.403737] Epoch: [17] [580/850] eta: 0:03:54 lr: 0.001061 loss: 0.1950 (0.2075) loss_rec_all: 0.2296 (0.2418) loss_rec_sfr: 0.3414 (0.3341) loss_cl: -0.3657 (-0.3663) time: 0.8592 data: 0.0002 max mem: 29859 [06:56:33.664210] Epoch: [17] [600/850] eta: 0:03:37 lr: 0.001062 loss: 0.2014 (0.2075) loss_rec_all: 0.2359 (0.2418) loss_rec_sfr: 0.3315 (0.3339) loss_cl: -0.3669 (-0.3663) time: 0.8630 data: 0.0002 max mem: 29859 [06:56:50.843710] Epoch: [17] [620/850] eta: 0:03:19 lr: 0.001063 loss: 0.2228 (0.2079) loss_rec_all: 0.2567 (0.2422) loss_rec_sfr: 0.3525 (0.3344) loss_cl: -0.3668 (-0.3663) time: 0.8589 data: 0.0001 max mem: 29859 [06:57:08.067523] Epoch: [17] [640/850] eta: 0:03:02 lr: 0.001065 loss: 0.2030 (0.2078) loss_rec_all: 0.2368 (0.2421) loss_rec_sfr: 0.3231 (0.3344) loss_cl: -0.3663 (-0.3663) time: 0.8611 data: 0.0002 max mem: 29859 [06:57:25.308416] Epoch: [17] [660/850] eta: 0:02:44 lr: 0.001066 loss: 0.1975 (0.2076) loss_rec_all: 0.2313 (0.2419) loss_rec_sfr: 0.3480 (0.3350) loss_cl: -0.3669 (-0.3663) time: 0.8620 data: 0.0003 max mem: 29859 [06:57:42.544663] Epoch: [17] [680/850] eta: 0:02:27 lr: 0.001068 loss: 0.1924 (0.2073) loss_rec_all: 0.2272 (0.2416) loss_rec_sfr: 0.3244 (0.3345) loss_cl: -0.3670 (-0.3664) time: 0.8618 data: 0.0002 max mem: 29859 [06:57:59.782608] Epoch: [17] [700/850] eta: 0:02:10 lr: 0.001069 loss: 0.1987 (0.2071) loss_rec_all: 0.2332 (0.2414) loss_rec_sfr: 0.3332 (0.3340) loss_cl: -0.3661 (-0.3664) time: 0.8618 data: 0.0002 max mem: 29859 [06:58:17.019374] Epoch: [17] [720/850] eta: 0:01:52 lr: 0.001071 loss: 0.1981 (0.2069) loss_rec_all: 0.2320 (0.2412) loss_rec_sfr: 0.3400 (0.3342) loss_cl: -0.3660 (-0.3663) time: 0.8618 data: 0.0002 max mem: 29859 [06:58:34.211606] Epoch: [17] [740/850] eta: 0:01:35 lr: 0.001072 loss: 0.1954 (0.2068) loss_rec_all: 0.2300 (0.2410) loss_rec_sfr: 0.3359 (0.3340) loss_cl: -0.3667 (-0.3663) time: 0.8596 data: 0.0002 max mem: 29859 [06:58:51.481325] Epoch: [17] [760/850] eta: 0:01:17 lr: 0.001074 loss: 0.1932 (0.2065) loss_rec_all: 0.2274 (0.2408) loss_rec_sfr: 0.3329 (0.3337) loss_cl: -0.3676 (-0.3664) time: 0.8634 data: 0.0002 max mem: 29859 [06:59:08.676451] Epoch: [17] [780/850] eta: 0:01:00 lr: 0.001075 loss: 0.1954 (0.2062) loss_rec_all: 0.2292 (0.2405) loss_rec_sfr: 0.3064 (0.3333) loss_cl: -0.3674 (-0.3664) time: 0.8597 data: 0.0002 max mem: 29859 [06:59:25.957497] Epoch: [17] [800/850] eta: 0:00:43 lr: 0.001076 loss: 0.1971 (0.2062) loss_rec_all: 0.2315 (0.2405) loss_rec_sfr: 0.3348 (0.3330) loss_cl: -0.3659 (-0.3664) time: 0.8640 data: 0.0002 max mem: 29859 [06:59:43.152184] Epoch: [17] [820/850] eta: 0:00:25 lr: 0.001078 loss: 0.1916 (0.2060) loss_rec_all: 0.2260 (0.2403) loss_rec_sfr: 0.3470 (0.3329) loss_cl: -0.3644 (-0.3663) time: 0.8597 data: 0.0002 max mem: 29859 [07:00:00.378836] Epoch: [17] [840/850] eta: 0:00:08 lr: 0.001079 loss: 0.1908 (0.2057) loss_rec_all: 0.2254 (0.2400) loss_rec_sfr: 0.2472 (0.3319) loss_cl: -0.3643 (-0.3663) time: 0.8613 data: 0.0004 max mem: 29859 [07:00:08.135128] Epoch: [17] [849/850] eta: 0:00:00 lr: 0.001080 loss: 0.1985 (0.2057) loss_rec_all: 0.2332 (0.2400) loss_rec_sfr: 0.3083 (0.3318) loss_cl: -0.3655 (-0.3663) time: 0.8621 data: 0.0004 max mem: 29859 [07:00:08.287267] Epoch: [17] Total time: 0:12:16 (0.8663 s / it) [07:00:08.298986] Averaged stats: lr: 0.001080 loss: 0.1985 (0.2056) loss_rec_all: 0.2332 (0.2399) loss_rec_sfr: 0.3083 (0.3318) loss_cl: -0.3655 (-0.3663) [07:00:08.311268] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [07:00:12.829468] Epoch: [18] [ 0/850] eta: 1:03:59 lr: 0.001080 loss: 0.2121 (0.2121) loss_rec_all: 0.2467 (0.2467) loss_rec_sfr: 0.2994 (0.2994) loss_cl: -0.3670 (-0.3670) time: 4.5174 data: 3.6646 max mem: 29859 [07:00:29.999127] Epoch: [18] [ 20/850] eta: 0:14:17 lr: 0.001081 loss: 0.1969 (0.1990) loss_rec_all: 0.2309 (0.2335) loss_rec_sfr: 0.3137 (0.3217) loss_cl: -0.3679 (-0.3677) time: 0.8584 data: 0.0002 max mem: 29859 [07:00:47.221311] Epoch: [18] [ 40/850] eta: 0:12:48 lr: 0.001083 loss: 0.1917 (0.1982) loss_rec_all: 0.2261 (0.2327) loss_rec_sfr: 0.3367 (0.3216) loss_cl: -0.3671 (-0.3674) time: 0.8611 data: 0.0002 max mem: 29859 [07:01:04.444685] Epoch: [18] [ 60/850] eta: 0:12:06 lr: 0.001084 loss: 0.1873 (0.1954) loss_rec_all: 0.2218 (0.2299) loss_rec_sfr: 0.2761 (0.3145) loss_cl: -0.3665 (-0.3672) time: 0.8611 data: 0.0002 max mem: 29859 [07:01:21.674520] Epoch: [18] [ 80/850] eta: 0:11:37 lr: 0.001086 loss: 0.2024 (0.1974) loss_rec_all: 0.2368 (0.2319) loss_rec_sfr: 0.3138 (0.3127) loss_cl: -0.3667 (-0.3671) time: 0.8614 data: 0.0002 max mem: 29859 [07:01:38.898911] Epoch: [18] [100/850] eta: 0:11:12 lr: 0.001087 loss: 0.2018 (0.1991) loss_rec_all: 0.2366 (0.2336) loss_rec_sfr: 0.3283 (0.3141) loss_cl: -0.3663 (-0.3669) time: 0.8612 data: 0.0002 max mem: 29859 [07:01:56.168696] Epoch: [18] [120/850] eta: 0:10:50 lr: 0.001088 loss: 0.1954 (0.1997) loss_rec_all: 0.2296 (0.2341) loss_rec_sfr: 0.3463 (0.3195) loss_cl: -0.3666 (-0.3668) time: 0.8634 data: 0.0003 max mem: 29859 [07:02:13.349358] Epoch: [18] [140/850] eta: 0:10:29 lr: 0.001090 loss: 0.2018 (0.2008) loss_rec_all: 0.2368 (0.2352) loss_rec_sfr: 0.3425 (0.3195) loss_cl: -0.3658 (-0.3667) time: 0.8590 data: 0.0001 max mem: 29859 [07:02:30.635246] Epoch: [18] [160/850] eta: 0:10:09 lr: 0.001091 loss: 0.2020 (0.2012) loss_rec_all: 0.2363 (0.2356) loss_rec_sfr: 0.3272 (0.3202) loss_cl: -0.3661 (-0.3666) time: 0.8642 data: 0.0002 max mem: 29859 [07:02:47.839480] Epoch: [18] [180/850] eta: 0:09:50 lr: 0.001092 loss: 0.1955 (0.2010) loss_rec_all: 0.2295 (0.2354) loss_rec_sfr: 0.3230 (0.3201) loss_cl: -0.3664 (-0.3666) time: 0.8602 data: 0.0002 max mem: 29859 [07:03:05.101380] Epoch: [18] [200/850] eta: 0:09:31 lr: 0.001094 loss: 0.1886 (0.1999) loss_rec_all: 0.2235 (0.2343) loss_rec_sfr: 0.2884 (0.3186) loss_cl: -0.3661 (-0.3665) time: 0.8630 data: 0.0002 max mem: 29859 [07:03:22.336170] Epoch: [18] [220/850] eta: 0:09:13 lr: 0.001095 loss: 0.1877 (0.1990) loss_rec_all: 0.2222 (0.2334) loss_rec_sfr: 0.2888 (0.3176) loss_cl: -0.3658 (-0.3665) time: 0.8617 data: 0.0002 max mem: 29859 [07:03:39.573324] Epoch: [18] [240/850] eta: 0:08:54 lr: 0.001097 loss: 0.1941 (0.1988) loss_rec_all: 0.2282 (0.2332) loss_rec_sfr: 0.3455 (0.3190) loss_cl: -0.3672 (-0.3665) time: 0.8618 data: 0.0002 max mem: 29859 [07:03:56.807608] Epoch: [18] [260/850] eta: 0:08:36 lr: 0.001098 loss: 0.1917 (0.1987) loss_rec_all: 0.2260 (0.2332) loss_rec_sfr: 0.3465 (0.3194) loss_cl: -0.3670 (-0.3666) time: 0.8617 data: 0.0002 max mem: 29859 [07:04:14.046738] Epoch: [18] [280/850] eta: 0:08:18 lr: 0.001100 loss: 0.2009 (0.1990) loss_rec_all: 0.2351 (0.2334) loss_rec_sfr: 0.3352 (0.3191) loss_cl: -0.3667 (-0.3666) time: 0.8619 data: 0.0002 max mem: 29859 [07:04:31.221074] Epoch: [18] [300/850] eta: 0:08:00 lr: 0.001101 loss: 0.1915 (0.1986) loss_rec_all: 0.2261 (0.2331) loss_rec_sfr: 0.3081 (0.3184) loss_cl: -0.3658 (-0.3665) time: 0.8587 data: 0.0002 max mem: 29859 [07:04:48.457929] Epoch: [18] [320/850] eta: 0:07:42 lr: 0.001103 loss: 0.1879 (0.1980) loss_rec_all: 0.2224 (0.2325) loss_rec_sfr: 0.2788 (0.3168) loss_cl: -0.3658 (-0.3665) time: 0.8618 data: 0.0002 max mem: 29859 [07:05:05.666070] Epoch: [18] [340/850] eta: 0:07:24 lr: 0.001104 loss: 0.1849 (0.1976) loss_rec_all: 0.2190 (0.2320) loss_rec_sfr: 0.2777 (0.3158) loss_cl: -0.3664 (-0.3665) time: 0.8604 data: 0.0002 max mem: 29859 [07:05:22.922824] Epoch: [18] [360/850] eta: 0:07:07 lr: 0.001105 loss: 0.1961 (0.1976) loss_rec_all: 0.2311 (0.2321) loss_rec_sfr: 0.3004 (0.3161) loss_cl: -0.3670 (-0.3665) time: 0.8628 data: 0.0002 max mem: 29859 [07:05:40.101710] Epoch: [18] [380/850] eta: 0:06:49 lr: 0.001107 loss: 0.2010 (0.1979) loss_rec_all: 0.2357 (0.2323) loss_rec_sfr: 0.3476 (0.3171) loss_cl: -0.3672 (-0.3665) time: 0.8589 data: 0.0002 max mem: 29859 [07:05:57.314738] Epoch: [18] [400/850] eta: 0:06:31 lr: 0.001108 loss: 0.1919 (0.1978) loss_rec_all: 0.2269 (0.2322) loss_rec_sfr: 0.3127 (0.3168) loss_cl: -0.3673 (-0.3666) time: 0.8606 data: 0.0002 max mem: 29859 [07:06:14.555571] Epoch: [18] [420/850] eta: 0:06:14 lr: 0.001109 loss: 0.1889 (0.1976) loss_rec_all: 0.2238 (0.2321) loss_rec_sfr: 0.3415 (0.3171) loss_cl: -0.3659 (-0.3665) time: 0.8620 data: 0.0003 max mem: 29859 [07:06:31.786937] Epoch: [18] [440/850] eta: 0:05:56 lr: 0.001111 loss: 0.1843 (0.1973) loss_rec_all: 0.2185 (0.2317) loss_rec_sfr: 0.3321 (0.3170) loss_cl: -0.3652 (-0.3665) time: 0.8615 data: 0.0002 max mem: 29859 [07:06:48.976303] Epoch: [18] [460/850] eta: 0:05:38 lr: 0.001112 loss: 0.1886 (0.1972) loss_rec_all: 0.2230 (0.2316) loss_rec_sfr: 0.2929 (0.3166) loss_cl: -0.3665 (-0.3665) time: 0.8594 data: 0.0002 max mem: 29859 [07:07:06.250064] Epoch: [18] [480/850] eta: 0:05:21 lr: 0.001114 loss: 0.2007 (0.1976) loss_rec_all: 0.2350 (0.2320) loss_rec_sfr: 0.3386 (0.3170) loss_cl: -0.3668 (-0.3665) time: 0.8636 data: 0.0002 max mem: 29859 [07:07:23.430820] Epoch: [18] [500/850] eta: 0:05:03 lr: 0.001115 loss: 0.1915 (0.1974) loss_rec_all: 0.2257 (0.2319) loss_rec_sfr: 0.3390 (0.3174) loss_cl: -0.3669 (-0.3665) time: 0.8590 data: 0.0001 max mem: 29859 [07:07:40.694475] Epoch: [18] [520/850] eta: 0:04:46 lr: 0.001117 loss: 0.1866 (0.1972) loss_rec_all: 0.2213 (0.2317) loss_rec_sfr: 0.3207 (0.3175) loss_cl: -0.3663 (-0.3665) time: 0.8631 data: 0.0002 max mem: 29859 [07:07:57.903054] Epoch: [18] [540/850] eta: 0:04:29 lr: 0.001118 loss: 0.1910 (0.1971) loss_rec_all: 0.2257 (0.2316) loss_rec_sfr: 0.2944 (0.3168) loss_cl: -0.3667 (-0.3665) time: 0.8604 data: 0.0002 max mem: 29859 [07:08:15.132389] Epoch: [18] [560/850] eta: 0:04:11 lr: 0.001120 loss: 0.1868 (0.1970) loss_rec_all: 0.2215 (0.2314) loss_rec_sfr: 0.2967 (0.3170) loss_cl: -0.3661 (-0.3665) time: 0.8614 data: 0.0002 max mem: 29859 [07:08:32.374036] Epoch: [18] [580/850] eta: 0:03:54 lr: 0.001121 loss: 0.1867 (0.1967) loss_rec_all: 0.2209 (0.2311) loss_rec_sfr: 0.3035 (0.3168) loss_cl: -0.3665 (-0.3665) time: 0.8620 data: 0.0002 max mem: 29859 [07:08:49.596392] Epoch: [18] [600/850] eta: 0:03:36 lr: 0.001122 loss: 0.1861 (0.1965) loss_rec_all: 0.2210 (0.2309) loss_rec_sfr: 0.2879 (0.3161) loss_cl: -0.3675 (-0.3665) time: 0.8611 data: 0.0002 max mem: 29859 [07:09:06.788039] Epoch: [18] [620/850] eta: 0:03:19 lr: 0.001123 loss: 0.1851 (0.1962) loss_rec_all: 0.2197 (0.2306) loss_rec_sfr: 0.3011 (0.3155) loss_cl: -0.3668 (-0.3665) time: 0.8595 data: 0.0002 max mem: 29859 [07:09:24.072983] Epoch: [18] [640/850] eta: 0:03:02 lr: 0.001125 loss: 0.1907 (0.1961) loss_rec_all: 0.2250 (0.2306) loss_rec_sfr: 0.3403 (0.3159) loss_cl: -0.3664 (-0.3665) time: 0.8642 data: 0.0003 max mem: 29859 [07:09:41.268213] Epoch: [18] [660/850] eta: 0:02:44 lr: 0.001126 loss: 0.1900 (0.1961) loss_rec_all: 0.2242 (0.2305) loss_rec_sfr: 0.2904 (0.3156) loss_cl: -0.3671 (-0.3665) time: 0.8597 data: 0.0002 max mem: 29859 [07:09:58.512118] Epoch: [18] [680/850] eta: 0:02:27 lr: 0.001128 loss: 0.1934 (0.1961) loss_rec_all: 0.2275 (0.2306) loss_rec_sfr: 0.2973 (0.3154) loss_cl: -0.3666 (-0.3665) time: 0.8621 data: 0.0002 max mem: 29859 [07:10:15.740710] Epoch: [18] [700/850] eta: 0:02:09 lr: 0.001129 loss: 0.1876 (0.1959) loss_rec_all: 0.2217 (0.2304) loss_rec_sfr: 0.2998 (0.3154) loss_cl: -0.3653 (-0.3665) time: 0.8614 data: 0.0002 max mem: 29859 [07:10:32.967011] Epoch: [18] [720/850] eta: 0:01:52 lr: 0.001131 loss: 0.1827 (0.1956) loss_rec_all: 0.2174 (0.2301) loss_rec_sfr: 0.2535 (0.3148) loss_cl: -0.3656 (-0.3665) time: 0.8613 data: 0.0002 max mem: 29859 [07:10:50.151416] Epoch: [18] [740/850] eta: 0:01:35 lr: 0.001132 loss: 0.1818 (0.1954) loss_rec_all: 0.2167 (0.2298) loss_rec_sfr: 0.2930 (0.3143) loss_cl: -0.3672 (-0.3665) time: 0.8592 data: 0.0002 max mem: 29859 [07:11:07.437935] Epoch: [18] [760/850] eta: 0:01:17 lr: 0.001134 loss: 0.1905 (0.1953) loss_rec_all: 0.2253 (0.2297) loss_rec_sfr: 0.3273 (0.3145) loss_cl: -0.3672 (-0.3665) time: 0.8643 data: 0.0002 max mem: 29859 [07:11:24.627766] Epoch: [18] [780/850] eta: 0:01:00 lr: 0.001135 loss: 0.1849 (0.1950) loss_rec_all: 0.2186 (0.2295) loss_rec_sfr: 0.2547 (0.3141) loss_cl: -0.3661 (-0.3665) time: 0.8594 data: 0.0002 max mem: 29859 [07:11:41.927995] Epoch: [18] [800/850] eta: 0:00:43 lr: 0.001136 loss: 0.1818 (0.1948) loss_rec_all: 0.2169 (0.2293) loss_rec_sfr: 0.3270 (0.3141) loss_cl: -0.3666 (-0.3665) time: 0.8650 data: 0.0002 max mem: 29859 [07:11:59.118495] Epoch: [18] [820/850] eta: 0:00:25 lr: 0.001138 loss: 0.1803 (0.1945) loss_rec_all: 0.2153 (0.2290) loss_rec_sfr: 0.3154 (0.3138) loss_cl: -0.3673 (-0.3665) time: 0.8595 data: 0.0002 max mem: 29859 [07:12:16.351978] Epoch: [18] [840/850] eta: 0:00:08 lr: 0.001139 loss: 0.1768 (0.1941) loss_rec_all: 0.2113 (0.2286) loss_rec_sfr: 0.2869 (0.3135) loss_cl: -0.3672 (-0.3665) time: 0.8616 data: 0.0004 max mem: 29859 [07:12:24.115931] Epoch: [18] [849/850] eta: 0:00:00 lr: 0.001140 loss: 0.1762 (0.1939) loss_rec_all: 0.2106 (0.2284) loss_rec_sfr: 0.3226 (0.3135) loss_cl: -0.3667 (-0.3665) time: 0.8628 data: 0.0004 max mem: 29859 [07:12:24.269102] Epoch: [18] Total time: 0:12:15 (0.8658 s / it) [07:12:24.284060] Averaged stats: lr: 0.001140 loss: 0.1762 (0.1938) loss_rec_all: 0.2106 (0.2282) loss_rec_sfr: 0.3226 (0.3151) loss_cl: -0.3667 (-0.3664) [07:12:24.297790] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [07:12:28.736001] Epoch: [19] [ 0/850] eta: 1:02:51 lr: 0.001140 loss: 0.1683 (0.1683) loss_rec_all: 0.2035 (0.2035) loss_rec_sfr: 0.2071 (0.2071) loss_cl: -0.3658 (-0.3658) time: 4.4371 data: 3.5809 max mem: 29859 [07:12:45.896307] Epoch: [19] [ 20/850] eta: 0:14:13 lr: 0.001141 loss: 0.1797 (0.1819) loss_rec_all: 0.2144 (0.2164) loss_rec_sfr: 0.3056 (0.2945) loss_cl: -0.3658 (-0.3659) time: 0.8580 data: 0.0002 max mem: 29859 [07:13:03.114563] Epoch: [19] [ 40/850] eta: 0:12:46 lr: 0.001143 loss: 0.1805 (0.1822) loss_rec_all: 0.2150 (0.2167) loss_rec_sfr: 0.3002 (0.3048) loss_cl: -0.3663 (-0.3660) time: 0.8609 data: 0.0002 max mem: 29859 [07:13:20.337365] Epoch: [19] [ 60/850] eta: 0:12:05 lr: 0.001144 loss: 0.1870 (0.1850) loss_rec_all: 0.2213 (0.2195) loss_rec_sfr: 0.3245 (0.3068) loss_cl: -0.3665 (-0.3662) time: 0.8611 data: 0.0003 max mem: 29859 [07:13:37.561202] Epoch: [19] [ 80/850] eta: 0:11:36 lr: 0.001146 loss: 0.1862 (0.1871) loss_rec_all: 0.2210 (0.2216) loss_rec_sfr: 0.2779 (0.3041) loss_cl: -0.3665 (-0.3663) time: 0.8611 data: 0.0002 max mem: 29859 [07:13:54.795573] Epoch: [19] [100/850] eta: 0:11:11 lr: 0.001147 loss: 0.1859 (0.1878) loss_rec_all: 0.2202 (0.2222) loss_rec_sfr: 0.3372 (0.3079) loss_cl: -0.3661 (-0.3662) time: 0.8617 data: 0.0002 max mem: 29859 [07:14:12.054596] Epoch: [19] [120/850] eta: 0:10:50 lr: 0.001148 loss: 0.1852 (0.1879) loss_rec_all: 0.2201 (0.2224) loss_rec_sfr: 0.2503 (0.3054) loss_cl: -0.3663 (-0.3662) time: 0.8629 data: 0.0002 max mem: 29859 [07:14:29.246054] Epoch: [19] [140/850] eta: 0:10:29 lr: 0.001150 loss: 0.1795 (0.1875) loss_rec_all: 0.2144 (0.2220) loss_rec_sfr: 0.3204 (0.3052) loss_cl: -0.3667 (-0.3663) time: 0.8595 data: 0.0002 max mem: 29859 [07:14:46.546135] Epoch: [19] [160/850] eta: 0:10:09 lr: 0.001151 loss: 0.1789 (0.1870) loss_rec_all: 0.2137 (0.2215) loss_rec_sfr: 0.2490 (0.3030) loss_cl: -0.3662 (-0.3663) time: 0.8650 data: 0.0002 max mem: 29859 [07:15:03.746206] Epoch: [19] [180/850] eta: 0:09:50 lr: 0.001152 loss: 0.1799 (0.1865) loss_rec_all: 0.2151 (0.2210) loss_rec_sfr: 0.2484 (0.3009) loss_cl: -0.3688 (-0.3665) time: 0.8600 data: 0.0002 max mem: 29859 [07:15:21.009808] Epoch: [19] [200/850] eta: 0:09:31 lr: 0.001154 loss: 0.1724 (0.1855) loss_rec_all: 0.2068 (0.2201) loss_rec_sfr: 0.3316 (0.3011) loss_cl: -0.3670 (-0.3666) time: 0.8631 data: 0.0002 max mem: 29859 [07:15:38.210312] Epoch: [19] [220/850] eta: 0:09:12 lr: 0.001155 loss: 0.1768 (0.1851) loss_rec_all: 0.2118 (0.2196) loss_rec_sfr: 0.3356 (0.3033) loss_cl: -0.3657 (-0.3665) time: 0.8600 data: 0.0002 max mem: 29859 [07:15:55.441104] Epoch: [19] [240/850] eta: 0:08:54 lr: 0.001157 loss: 0.1909 (0.1858) loss_rec_all: 0.2245 (0.2203) loss_rec_sfr: 0.2975 (0.3050) loss_cl: -0.3657 (-0.3664) time: 0.8615 data: 0.0002 max mem: 29859 [07:16:12.658371] Epoch: [19] [260/850] eta: 0:08:36 lr: 0.001158 loss: 0.1858 (0.1861) loss_rec_all: 0.2200 (0.2206) loss_rec_sfr: 0.2905 (0.3050) loss_cl: -0.3652 (-0.3663) time: 0.8608 data: 0.0002 max mem: 29859 [07:16:29.884770] Epoch: [19] [280/850] eta: 0:08:18 lr: 0.001160 loss: 0.1833 (0.1864) loss_rec_all: 0.2179 (0.2209) loss_rec_sfr: 0.3266 (0.3057) loss_cl: -0.3671 (-0.3663) time: 0.8613 data: 0.0002 max mem: 29859 [07:16:47.140256] Epoch: [19] [300/850] eta: 0:08:00 lr: 0.001161 loss: 0.1791 (0.1860) loss_rec_all: 0.2143 (0.2205) loss_rec_sfr: 0.2678 (0.3039) loss_cl: -0.3678 (-0.3664) time: 0.8627 data: 0.0002 max mem: 29859 [07:17:04.371213] Epoch: [19] [320/850] eta: 0:07:42 lr: 0.001163 loss: 0.1984 (0.1873) loss_rec_all: 0.2329 (0.2218) loss_rec_sfr: 0.3673 (0.3068) loss_cl: -0.3657 (-0.3664) time: 0.8615 data: 0.0002 max mem: 29859 [07:17:21.564501] Epoch: [19] [340/850] eta: 0:07:24 lr: 0.001164 loss: 0.1848 (0.1873) loss_rec_all: 0.2190 (0.2218) loss_rec_sfr: 0.3436 (0.3078) loss_cl: -0.3662 (-0.3664) time: 0.8596 data: 0.0002 max mem: 29859 [07:17:38.863140] Epoch: [19] [360/850] eta: 0:07:06 lr: 0.001165 loss: 0.1814 (0.1874) loss_rec_all: 0.2161 (0.2218) loss_rec_sfr: 0.3348 (0.3086) loss_cl: -0.3676 (-0.3664) time: 0.8649 data: 0.0003 max mem: 29859 [07:17:56.072309] Epoch: [19] [380/850] eta: 0:06:49 lr: 0.001167 loss: 0.1782 (0.1870) loss_rec_all: 0.2126 (0.2215) loss_rec_sfr: 0.3249 (0.3086) loss_cl: -0.3669 (-0.3664) time: 0.8604 data: 0.0002 max mem: 29859 [07:18:13.344603] Epoch: [19] [400/850] eta: 0:06:31 lr: 0.001168 loss: 0.1803 (0.1869) loss_rec_all: 0.2153 (0.2214) loss_rec_sfr: 0.3197 (0.3086) loss_cl: -0.3663 (-0.3664) time: 0.8635 data: 0.0002 max mem: 29859 [07:18:30.545708] Epoch: [19] [420/850] eta: 0:06:14 lr: 0.001169 loss: 0.1847 (0.1871) loss_rec_all: 0.2192 (0.2215) loss_rec_sfr: 0.3432 (0.3097) loss_cl: -0.3669 (-0.3665) time: 0.8600 data: 0.0002 max mem: 29859 [07:18:47.780988] Epoch: [19] [440/850] eta: 0:05:56 lr: 0.001171 loss: 0.1810 (0.1870) loss_rec_all: 0.2155 (0.2214) loss_rec_sfr: 0.2816 (0.3088) loss_cl: -0.3671 (-0.3665) time: 0.8617 data: 0.0002 max mem: 29859 [07:19:05.020917] Epoch: [19] [460/850] eta: 0:05:38 lr: 0.001172 loss: 0.1777 (0.1868) loss_rec_all: 0.2127 (0.2213) loss_rec_sfr: 0.2793 (0.3083) loss_cl: -0.3659 (-0.3665) time: 0.8619 data: 0.0002 max mem: 29859 [07:19:22.251229] Epoch: [19] [480/850] eta: 0:05:21 lr: 0.001174 loss: 0.1753 (0.1865) loss_rec_all: 0.2102 (0.2210) loss_rec_sfr: 0.3217 (0.3082) loss_cl: -0.3662 (-0.3665) time: 0.8615 data: 0.0002 max mem: 29859 [07:19:39.473468] Epoch: [19] [500/850] eta: 0:05:03 lr: 0.001175 loss: 0.1751 (0.1861) loss_rec_all: 0.2096 (0.2206) loss_rec_sfr: 0.3145 (0.3079) loss_cl: -0.3663 (-0.3664) time: 0.8610 data: 0.0002 max mem: 29859 [07:19:56.729100] Epoch: [19] [520/850] eta: 0:04:46 lr: 0.001177 loss: 0.1839 (0.1861) loss_rec_all: 0.2186 (0.2206) loss_rec_sfr: 0.3038 (0.3076) loss_cl: -0.3662 (-0.3664) time: 0.8627 data: 0.0002 max mem: 29859 [07:20:13.919935] Epoch: [19] [540/850] eta: 0:04:29 lr: 0.001178 loss: 0.1761 (0.1858) loss_rec_all: 0.2103 (0.2203) loss_rec_sfr: 0.3199 (0.3073) loss_cl: -0.3667 (-0.3664) time: 0.8594 data: 0.0002 max mem: 29859 [07:20:31.201871] Epoch: [19] [560/850] eta: 0:04:11 lr: 0.001180 loss: 0.1725 (0.1855) loss_rec_all: 0.2072 (0.2200) loss_rec_sfr: 0.2733 (0.3064) loss_cl: -0.3663 (-0.3664) time: 0.8640 data: 0.0002 max mem: 29859 [07:20:48.394134] Epoch: [19] [580/850] eta: 0:03:54 lr: 0.001181 loss: 0.1691 (0.1851) loss_rec_all: 0.2032 (0.2196) loss_rec_sfr: 0.3037 (0.3057) loss_cl: -0.3667 (-0.3665) time: 0.8595 data: 0.0002 max mem: 29859 [07:21:05.648077] Epoch: [19] [600/850] eta: 0:03:36 lr: 0.001182 loss: 0.1695 (0.1846) loss_rec_all: 0.2039 (0.2191) loss_rec_sfr: 0.2913 (0.3052) loss_cl: -0.3669 (-0.3665) time: 0.8626 data: 0.0002 max mem: 29859 [07:21:22.878945] Epoch: [19] [620/850] eta: 0:03:19 lr: 0.001183 loss: 0.1887 (0.1849) loss_rec_all: 0.2230 (0.2194) loss_rec_sfr: 0.3293 (0.3057) loss_cl: -0.3669 (-0.3665) time: 0.8615 data: 0.0002 max mem: 29859 [07:21:40.117574] Epoch: [19] [640/850] eta: 0:03:02 lr: 0.001185 loss: 0.1874 (0.1850) loss_rec_all: 0.2215 (0.2196) loss_rec_sfr: 0.2856 (0.3058) loss_cl: -0.3674 (-0.3665) time: 0.8619 data: 0.0002 max mem: 29859 [07:21:57.376668] Epoch: [19] [660/850] eta: 0:02:44 lr: 0.001186 loss: 0.1805 (0.1850) loss_rec_all: 0.2153 (0.2195) loss_rec_sfr: 0.3307 (0.3062) loss_cl: -0.3666 (-0.3665) time: 0.8629 data: 0.0002 max mem: 29859 [07:22:14.608223] Epoch: [19] [680/850] eta: 0:02:27 lr: 0.001188 loss: 0.1753 (0.1848) loss_rec_all: 0.2103 (0.2193) loss_rec_sfr: 0.2758 (0.3056) loss_cl: -0.3664 (-0.3665) time: 0.8615 data: 0.0002 max mem: 29859 [07:22:31.803235] Epoch: [19] [700/850] eta: 0:02:09 lr: 0.001189 loss: 0.1791 (0.1847) loss_rec_all: 0.2137 (0.2192) loss_rec_sfr: 0.2760 (0.3049) loss_cl: -0.3662 (-0.3665) time: 0.8597 data: 0.0002 max mem: 29859 [07:22:49.099873] Epoch: [19] [720/850] eta: 0:01:52 lr: 0.001191 loss: 0.1773 (0.1846) loss_rec_all: 0.2113 (0.2192) loss_rec_sfr: 0.3227 (0.3049) loss_cl: -0.3659 (-0.3665) time: 0.8648 data: 0.0003 max mem: 29859 [07:23:06.296371] Epoch: [19] [740/850] eta: 0:01:35 lr: 0.001192 loss: 0.1790 (0.1845) loss_rec_all: 0.2131 (0.2190) loss_rec_sfr: 0.2712 (0.3047) loss_cl: -0.3658 (-0.3665) time: 0.8598 data: 0.0002 max mem: 29859 [07:23:23.555642] Epoch: [19] [760/850] eta: 0:01:17 lr: 0.001194 loss: 0.1721 (0.1843) loss_rec_all: 0.2070 (0.2188) loss_rec_sfr: 0.2686 (0.3040) loss_cl: -0.3666 (-0.3665) time: 0.8629 data: 0.0002 max mem: 29859 [07:23:40.803206] Epoch: [19] [780/850] eta: 0:01:00 lr: 0.001195 loss: 0.1705 (0.1839) loss_rec_all: 0.2048 (0.2185) loss_rec_sfr: 0.2582 (0.3035) loss_cl: -0.3667 (-0.3665) time: 0.8623 data: 0.0002 max mem: 29859 [07:23:58.032975] Epoch: [19] [800/850] eta: 0:00:43 lr: 0.001196 loss: 0.1733 (0.1838) loss_rec_all: 0.2075 (0.2183) loss_rec_sfr: 0.3191 (0.3035) loss_cl: -0.3667 (-0.3665) time: 0.8614 data: 0.0002 max mem: 29859 [07:24:15.269807] Epoch: [19] [820/850] eta: 0:00:25 lr: 0.001198 loss: 0.1653 (0.1834) loss_rec_all: 0.2001 (0.2179) loss_rec_sfr: 0.3190 (0.3033) loss_cl: -0.3675 (-0.3665) time: 0.8618 data: 0.0002 max mem: 29859 [07:24:32.547572] Epoch: [19] [840/850] eta: 0:00:08 lr: 0.001199 loss: 0.1697 (0.1832) loss_rec_all: 0.2046 (0.2178) loss_rec_sfr: 0.2633 (0.3027) loss_cl: -0.3656 (-0.3665) time: 0.8638 data: 0.0017 max mem: 29859 [07:24:40.282736] Epoch: [19] [849/850] eta: 0:00:00 lr: 0.001200 loss: 0.1865 (0.1833) loss_rec_all: 0.2205 (0.2178) loss_rec_sfr: 0.2890 (0.3028) loss_cl: -0.3651 (-0.3665) time: 0.8624 data: 0.0017 max mem: 29859 [07:24:40.465071] Epoch: [19] Total time: 0:12:16 (0.8661 s / it) [07:24:40.467495] Averaged stats: lr: 0.001200 loss: 0.1865 (0.1831) loss_rec_all: 0.2205 (0.2176) loss_rec_sfr: 0.2890 (0.3026) loss_cl: -0.3651 (-0.3664) [07:24:40.479646] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [07:24:44.804220] Epoch: [20] [ 0/850] eta: 1:01:15 lr: 0.001200 loss: 0.2198 (0.2198) loss_rec_all: 0.2538 (0.2538) loss_rec_sfr: 0.3685 (0.3685) loss_cl: -0.3664 (-0.3664) time: 4.3238 data: 3.4680 max mem: 29859 [07:25:02.004133] Epoch: [20] [ 20/850] eta: 0:14:10 lr: 0.001201 loss: 0.1799 (0.1854) loss_rec_all: 0.2144 (0.2197) loss_rec_sfr: 0.3050 (0.3179) loss_cl: -0.3661 (-0.3660) time: 0.8599 data: 0.0002 max mem: 29859 [07:25:19.216563] Epoch: [20] [ 40/850] eta: 0:12:45 lr: 0.001203 loss: 0.1751 (0.1819) loss_rec_all: 0.2099 (0.2163) loss_rec_sfr: 0.3223 (0.3144) loss_cl: -0.3670 (-0.3664) time: 0.8606 data: 0.0002 max mem: 29859 [07:25:36.407828] Epoch: [20] [ 60/850] eta: 0:12:04 lr: 0.001204 loss: 0.1872 (0.1861) loss_rec_all: 0.2216 (0.2205) loss_rec_sfr: 0.3435 (0.3203) loss_cl: -0.3667 (-0.3664) time: 0.8595 data: 0.0002 max mem: 29859 [07:25:53.713584] Epoch: [20] [ 80/850] eta: 0:11:36 lr: 0.001206 loss: 0.1816 (0.1865) loss_rec_all: 0.2158 (0.2209) loss_rec_sfr: 0.3353 (0.3219) loss_cl: -0.3668 (-0.3665) time: 0.8652 data: 0.0002 max mem: 29859 [07:26:10.898217] Epoch: [20] [100/850] eta: 0:11:11 lr: 0.001207 loss: 0.1756 (0.1849) loss_rec_all: 0.2099 (0.2193) loss_rec_sfr: 0.3148 (0.3180) loss_cl: -0.3669 (-0.3665) time: 0.8592 data: 0.0002 max mem: 29859 [07:26:28.145283] Epoch: [20] [120/850] eta: 0:10:49 lr: 0.001208 loss: 0.1693 (0.1834) loss_rec_all: 0.2043 (0.2179) loss_rec_sfr: 0.3145 (0.3143) loss_cl: -0.3664 (-0.3665) time: 0.8623 data: 0.0002 max mem: 29859 [07:26:45.377775] Epoch: [20] [140/850] eta: 0:10:28 lr: 0.001210 loss: 0.1750 (0.1827) loss_rec_all: 0.2098 (0.2172) loss_rec_sfr: 0.2714 (0.3108) loss_cl: -0.3659 (-0.3664) time: 0.8616 data: 0.0002 max mem: 29859 [07:27:02.613110] Epoch: [20] [160/850] eta: 0:10:09 lr: 0.001211 loss: 0.1843 (0.1835) loss_rec_all: 0.2188 (0.2180) loss_rec_sfr: 0.3028 (0.3098) loss_cl: -0.3674 (-0.3665) time: 0.8617 data: 0.0002 max mem: 29859 [07:27:19.834792] Epoch: [20] [180/850] eta: 0:09:49 lr: 0.001212 loss: 0.1750 (0.1830) loss_rec_all: 0.2092 (0.2175) loss_rec_sfr: 0.3108 (0.3081) loss_cl: -0.3662 (-0.3664) time: 0.8610 data: 0.0003 max mem: 29859 [07:27:37.094604] Epoch: [20] [200/850] eta: 0:09:31 lr: 0.001214 loss: 0.1732 (0.1823) loss_rec_all: 0.2081 (0.2168) loss_rec_sfr: 0.3068 (0.3068) loss_cl: -0.3663 (-0.3664) time: 0.8629 data: 0.0002 max mem: 29859 [07:27:54.292690] Epoch: [20] [220/850] eta: 0:09:12 lr: 0.001215 loss: 0.1653 (0.1810) loss_rec_all: 0.1999 (0.2155) loss_rec_sfr: 0.3118 (0.3049) loss_cl: -0.3671 (-0.3665) time: 0.8598 data: 0.0002 max mem: 29859 [07:28:11.556877] Epoch: [20] [240/850] eta: 0:08:54 lr: 0.001217 loss: 0.1747 (0.1808) loss_rec_all: 0.2091 (0.2153) loss_rec_sfr: 0.2815 (0.3038) loss_cl: -0.3657 (-0.3664) time: 0.8632 data: 0.0003 max mem: 29859 [07:28:28.751450] Epoch: [20] [260/850] eta: 0:08:35 lr: 0.001218 loss: 0.1785 (0.1807) loss_rec_all: 0.2129 (0.2153) loss_rec_sfr: 0.2994 (0.3037) loss_cl: -0.3663 (-0.3664) time: 0.8597 data: 0.0001 max mem: 29859 [07:28:46.013114] Epoch: [20] [280/850] eta: 0:08:18 lr: 0.001220 loss: 0.1711 (0.1801) loss_rec_all: 0.2053 (0.2146) loss_rec_sfr: 0.2595 (0.3022) loss_cl: -0.3672 (-0.3664) time: 0.8630 data: 0.0002 max mem: 29859 [07:29:03.200586] Epoch: [20] [300/850] eta: 0:08:00 lr: 0.001221 loss: 0.1705 (0.1795) loss_rec_all: 0.2051 (0.2140) loss_rec_sfr: 0.3007 (0.3017) loss_cl: -0.3662 (-0.3664) time: 0.8593 data: 0.0001 max mem: 29859 [07:29:20.432856] Epoch: [20] [320/850] eta: 0:07:42 lr: 0.001223 loss: 0.1690 (0.1788) loss_rec_all: 0.2038 (0.2134) loss_rec_sfr: 0.2547 (0.3001) loss_cl: -0.3671 (-0.3665) time: 0.8616 data: 0.0002 max mem: 29859 [07:29:37.663209] Epoch: [20] [340/850] eta: 0:07:24 lr: 0.001224 loss: 0.1706 (0.1784) loss_rec_all: 0.2051 (0.2130) loss_rec_sfr: 0.3074 (0.3002) loss_cl: -0.3667 (-0.3665) time: 0.8615 data: 0.0002 max mem: 29859 [07:29:54.889405] Epoch: [20] [360/850] eta: 0:07:06 lr: 0.001225 loss: 0.1672 (0.1780) loss_rec_all: 0.2015 (0.2126) loss_rec_sfr: 0.3063 (0.2995) loss_cl: -0.3669 (-0.3665) time: 0.8613 data: 0.0001 max mem: 29859 [07:30:12.102679] Epoch: [20] [380/850] eta: 0:06:49 lr: 0.001227 loss: 0.1700 (0.1778) loss_rec_all: 0.2046 (0.2124) loss_rec_sfr: 0.2406 (0.2983) loss_cl: -0.3657 (-0.3664) time: 0.8606 data: 0.0001 max mem: 29859 [07:30:29.343324] Epoch: [20] [400/850] eta: 0:06:31 lr: 0.001228 loss: 0.1746 (0.1778) loss_rec_all: 0.2095 (0.2124) loss_rec_sfr: 0.3167 (0.2983) loss_cl: -0.3658 (-0.3664) time: 0.8620 data: 0.0001 max mem: 29859 [07:30:46.526956] Epoch: [20] [420/850] eta: 0:06:13 lr: 0.001229 loss: 0.1671 (0.1775) loss_rec_all: 0.2014 (0.2120) loss_rec_sfr: 0.3023 (0.2978) loss_cl: -0.3672 (-0.3664) time: 0.8591 data: 0.0001 max mem: 29859 [07:31:03.827802] Epoch: [20] [440/850] eta: 0:05:56 lr: 0.001231 loss: 0.1658 (0.1770) loss_rec_all: 0.2001 (0.2116) loss_rec_sfr: 0.3267 (0.2980) loss_cl: -0.3674 (-0.3665) time: 0.8650 data: 0.0002 max mem: 29859 [07:31:21.023309] Epoch: [20] [460/850] eta: 0:05:38 lr: 0.001232 loss: 0.1762 (0.1772) loss_rec_all: 0.2109 (0.2117) loss_rec_sfr: 0.2930 (0.2981) loss_cl: -0.3662 (-0.3665) time: 0.8597 data: 0.0002 max mem: 29859 [07:31:38.255851] Epoch: [20] [480/850] eta: 0:05:21 lr: 0.001234 loss: 0.1719 (0.1771) loss_rec_all: 0.2062 (0.2116) loss_rec_sfr: 0.2876 (0.2976) loss_cl: -0.3657 (-0.3664) time: 0.8616 data: 0.0002 max mem: 29859 [07:31:55.519964] Epoch: [20] [500/850] eta: 0:05:03 lr: 0.001235 loss: 0.1695 (0.1770) loss_rec_all: 0.2036 (0.2115) loss_rec_sfr: 0.3158 (0.2978) loss_cl: -0.3660 (-0.3664) time: 0.8632 data: 0.0002 max mem: 29859 [07:32:12.748768] Epoch: [20] [520/850] eta: 0:04:46 lr: 0.001237 loss: 0.1697 (0.1768) loss_rec_all: 0.2046 (0.2114) loss_rec_sfr: 0.3075 (0.2978) loss_cl: -0.3675 (-0.3664) time: 0.8614 data: 0.0002 max mem: 29859 [07:32:29.941775] Epoch: [20] [540/850] eta: 0:04:28 lr: 0.001238 loss: 0.1650 (0.1765) loss_rec_all: 0.1993 (0.2110) loss_rec_sfr: 0.2548 (0.2969) loss_cl: -0.3664 (-0.3664) time: 0.8596 data: 0.0002 max mem: 29859 [07:32:47.264994] Epoch: [20] [560/850] eta: 0:04:11 lr: 0.001240 loss: 0.1591 (0.1759) loss_rec_all: 0.1938 (0.2104) loss_rec_sfr: 0.2451 (0.2954) loss_cl: -0.3657 (-0.3664) time: 0.8661 data: 0.0002 max mem: 29859 [07:33:04.457755] Epoch: [20] [580/850] eta: 0:03:54 lr: 0.001241 loss: 0.1765 (0.1761) loss_rec_all: 0.2106 (0.2106) loss_rec_sfr: 0.2935 (0.2957) loss_cl: -0.3671 (-0.3664) time: 0.8596 data: 0.0002 max mem: 29859 [07:33:21.690376] Epoch: [20] [600/850] eta: 0:03:36 lr: 0.001242 loss: 0.1876 (0.1765) loss_rec_all: 0.2226 (0.2111) loss_rec_sfr: 0.3140 (0.2964) loss_cl: -0.3678 (-0.3665) time: 0.8616 data: 0.0002 max mem: 29859 [07:33:38.946499] Epoch: [20] [620/850] eta: 0:03:19 lr: 0.001243 loss: 0.1746 (0.1765) loss_rec_all: 0.2095 (0.2111) loss_rec_sfr: 0.2622 (0.2962) loss_cl: -0.3675 (-0.3665) time: 0.8627 data: 0.0003 max mem: 29859 [07:33:56.179076] Epoch: [20] [640/850] eta: 0:03:02 lr: 0.001245 loss: 0.1686 (0.1764) loss_rec_all: 0.2031 (0.2109) loss_rec_sfr: 0.2413 (0.2954) loss_cl: -0.3662 (-0.3665) time: 0.8616 data: 0.0002 max mem: 29859 [07:34:13.376728] Epoch: [20] [660/850] eta: 0:02:44 lr: 0.001246 loss: 0.1724 (0.1765) loss_rec_all: 0.2071 (0.2110) loss_rec_sfr: 0.3253 (0.2955) loss_cl: -0.3659 (-0.3665) time: 0.8598 data: 0.0002 max mem: 29859 [07:34:30.687293] Epoch: [20] [680/850] eta: 0:02:27 lr: 0.001248 loss: 0.1710 (0.1764) loss_rec_all: 0.2060 (0.2110) loss_rec_sfr: 0.3168 (0.2956) loss_cl: -0.3655 (-0.3664) time: 0.8655 data: 0.0002 max mem: 29859 [07:34:47.876807] Epoch: [20] [700/850] eta: 0:02:09 lr: 0.001249 loss: 0.1756 (0.1765) loss_rec_all: 0.2103 (0.2111) loss_rec_sfr: 0.2796 (0.2953) loss_cl: -0.3662 (-0.3664) time: 0.8594 data: 0.0002 max mem: 29859 [07:35:05.109204] Epoch: [20] [720/850] eta: 0:01:52 lr: 0.001251 loss: 0.1719 (0.1765) loss_rec_all: 0.2069 (0.2110) loss_rec_sfr: 0.2705 (0.2951) loss_cl: -0.3665 (-0.3664) time: 0.8616 data: 0.0002 max mem: 29859 [07:35:22.374072] Epoch: [20] [740/850] eta: 0:01:35 lr: 0.001252 loss: 0.1654 (0.1762) loss_rec_all: 0.2006 (0.2108) loss_rec_sfr: 0.2891 (0.2948) loss_cl: -0.3675 (-0.3665) time: 0.8632 data: 0.0002 max mem: 29859 [07:35:39.600750] Epoch: [20] [760/850] eta: 0:01:17 lr: 0.001254 loss: 0.1605 (0.1759) loss_rec_all: 0.1949 (0.2105) loss_rec_sfr: 0.3023 (0.2945) loss_cl: -0.3665 (-0.3665) time: 0.8613 data: 0.0002 max mem: 29859 [07:35:56.788395] Epoch: [20] [780/850] eta: 0:01:00 lr: 0.001255 loss: 0.1601 (0.1755) loss_rec_all: 0.1944 (0.2101) loss_rec_sfr: 0.3015 (0.2942) loss_cl: -0.3673 (-0.3665) time: 0.8593 data: 0.0002 max mem: 29859 [07:36:14.073970] Epoch: [20] [800/850] eta: 0:00:43 lr: 0.001256 loss: 0.1746 (0.1756) loss_rec_all: 0.2085 (0.2102) loss_rec_sfr: 0.2817 (0.2942) loss_cl: -0.3663 (-0.3665) time: 0.8642 data: 0.0002 max mem: 29859 [07:36:31.262043] Epoch: [20] [820/850] eta: 0:00:25 lr: 0.001258 loss: 0.1705 (0.1755) loss_rec_all: 0.2044 (0.2101) loss_rec_sfr: 0.3177 (0.2947) loss_cl: -0.3670 (-0.3665) time: 0.8594 data: 0.0002 max mem: 29859 [07:36:48.505779] Epoch: [20] [840/850] eta: 0:00:08 lr: 0.001259 loss: 0.1649 (0.1753) loss_rec_all: 0.2000 (0.2099) loss_rec_sfr: 0.2255 (0.2939) loss_cl: -0.3668 (-0.3665) time: 0.8621 data: 0.0005 max mem: 29859 [07:36:56.272168] Epoch: [20] [849/850] eta: 0:00:00 lr: 0.001260 loss: 0.1692 (0.1753) loss_rec_all: 0.2035 (0.2099) loss_rec_sfr: 0.2850 (0.2941) loss_cl: -0.3664 (-0.3665) time: 0.8634 data: 0.0004 max mem: 29859 [07:36:56.439465] Epoch: [20] Total time: 0:12:15 (0.8658 s / it) [07:36:56.463084] Averaged stats: lr: 0.001260 loss: 0.1692 (0.1753) loss_rec_all: 0.2035 (0.2099) loss_rec_sfr: 0.2850 (0.2917) loss_cl: -0.3664 (-0.3664) [07:36:56.472837] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [07:37:00.951591] Epoch: [21] [ 0/850] eta: 1:03:26 lr: 0.001260 loss: 0.1772 (0.1772) loss_rec_all: 0.2121 (0.2121) loss_rec_sfr: 0.2324 (0.2324) loss_cl: -0.3655 (-0.3655) time: 4.4779 data: 3.4160 max mem: 29859 [07:37:18.097095] Epoch: [21] [ 20/850] eta: 0:14:14 lr: 0.001261 loss: 0.1654 (0.1688) loss_rec_all: 0.2002 (0.2034) loss_rec_sfr: 0.3064 (0.2945) loss_cl: -0.3661 (-0.3658) time: 0.8572 data: 0.0002 max mem: 29859 [07:37:35.307849] Epoch: [21] [ 40/850] eta: 0:12:47 lr: 0.001263 loss: 0.1692 (0.1709) loss_rec_all: 0.2035 (0.2054) loss_rec_sfr: 0.3149 (0.2990) loss_cl: -0.3669 (-0.3662) time: 0.8605 data: 0.0002 max mem: 29859 [07:37:52.536811] Epoch: [21] [ 60/850] eta: 0:12:06 lr: 0.001264 loss: 0.1636 (0.1696) loss_rec_all: 0.1984 (0.2042) loss_rec_sfr: 0.2633 (0.2951) loss_cl: -0.3659 (-0.3662) time: 0.8614 data: 0.0002 max mem: 29859 [07:38:09.755657] Epoch: [21] [ 80/850] eta: 0:11:36 lr: 0.001266 loss: 0.1659 (0.1694) loss_rec_all: 0.2005 (0.2039) loss_rec_sfr: 0.2422 (0.2891) loss_cl: -0.3650 (-0.3659) time: 0.8609 data: 0.0002 max mem: 29859 [07:38:26.958029] Epoch: [21] [100/850] eta: 0:11:11 lr: 0.001267 loss: 0.1636 (0.1681) loss_rec_all: 0.1980 (0.2027) loss_rec_sfr: 0.2892 (0.2888) loss_cl: -0.3671 (-0.3661) time: 0.8600 data: 0.0002 max mem: 29859 [07:38:44.273022] Epoch: [21] [120/850] eta: 0:10:50 lr: 0.001268 loss: 0.1610 (0.1674) loss_rec_all: 0.1954 (0.2020) loss_rec_sfr: 0.3081 (0.2881) loss_cl: -0.3673 (-0.3662) time: 0.8657 data: 0.0002 max mem: 29859 [07:39:01.464549] Epoch: [21] [140/850] eta: 0:10:29 lr: 0.001270 loss: 0.1655 (0.1686) loss_rec_all: 0.2003 (0.2032) loss_rec_sfr: 0.3020 (0.2877) loss_cl: -0.3672 (-0.3664) time: 0.8595 data: 0.0002 max mem: 29859 [07:39:18.708579] Epoch: [21] [160/850] eta: 0:10:09 lr: 0.001271 loss: 0.1743 (0.1697) loss_rec_all: 0.2089 (0.2043) loss_rec_sfr: 0.2629 (0.2860) loss_cl: -0.3662 (-0.3663) time: 0.8622 data: 0.0002 max mem: 29859 [07:39:35.989464] Epoch: [21] [180/850] eta: 0:09:50 lr: 0.001272 loss: 0.1761 (0.1708) loss_rec_all: 0.2104 (0.2054) loss_rec_sfr: 0.3164 (0.2872) loss_cl: -0.3670 (-0.3664) time: 0.8640 data: 0.0003 max mem: 29859 [07:39:53.222976] Epoch: [21] [200/850] eta: 0:09:31 lr: 0.001274 loss: 0.1718 (0.1710) loss_rec_all: 0.2060 (0.2057) loss_rec_sfr: 0.2754 (0.2864) loss_cl: -0.3666 (-0.3664) time: 0.8616 data: 0.0002 max mem: 29859 [07:40:10.429426] Epoch: [21] [220/850] eta: 0:09:12 lr: 0.001275 loss: 0.1708 (0.1712) loss_rec_all: 0.2055 (0.2059) loss_rec_sfr: 0.2721 (0.2858) loss_cl: -0.3667 (-0.3664) time: 0.8603 data: 0.0002 max mem: 29859 [07:40:27.742345] Epoch: [21] [240/850] eta: 0:08:54 lr: 0.001277 loss: 0.1676 (0.1711) loss_rec_all: 0.2020 (0.2057) loss_rec_sfr: 0.3086 (0.2865) loss_cl: -0.3660 (-0.3664) time: 0.8656 data: 0.0003 max mem: 29859 [07:40:44.929214] Epoch: [21] [260/850] eta: 0:08:36 lr: 0.001278 loss: 0.1667 (0.1713) loss_rec_all: 0.2017 (0.2059) loss_rec_sfr: 0.3072 (0.2867) loss_cl: -0.3660 (-0.3664) time: 0.8593 data: 0.0002 max mem: 29859 [07:41:02.166858] Epoch: [21] [280/850] eta: 0:08:18 lr: 0.001280 loss: 0.1706 (0.1713) loss_rec_all: 0.2058 (0.2059) loss_rec_sfr: 0.2685 (0.2855) loss_cl: -0.3672 (-0.3664) time: 0.8618 data: 0.0002 max mem: 29859 [07:41:19.419040] Epoch: [21] [300/850] eta: 0:08:00 lr: 0.001281 loss: 0.1660 (0.1712) loss_rec_all: 0.2008 (0.2058) loss_rec_sfr: 0.2815 (0.2849) loss_cl: -0.3677 (-0.3665) time: 0.8626 data: 0.0002 max mem: 29859 [07:41:36.648894] Epoch: [21] [320/850] eta: 0:07:42 lr: 0.001283 loss: 0.1608 (0.1706) loss_rec_all: 0.1956 (0.2052) loss_rec_sfr: 0.3011 (0.2846) loss_cl: -0.3669 (-0.3665) time: 0.8614 data: 0.0002 max mem: 29859 [07:41:53.846962] Epoch: [21] [340/850] eta: 0:07:24 lr: 0.001284 loss: 0.1565 (0.1699) loss_rec_all: 0.1917 (0.2046) loss_rec_sfr: 0.2606 (0.2834) loss_cl: -0.3663 (-0.3665) time: 0.8599 data: 0.0002 max mem: 29859 [07:42:11.148507] Epoch: [21] [360/850] eta: 0:07:07 lr: 0.001285 loss: 0.1558 (0.1693) loss_rec_all: 0.1909 (0.2040) loss_rec_sfr: 0.2132 (0.2811) loss_cl: -0.3664 (-0.3665) time: 0.8650 data: 0.0002 max mem: 29859 [07:42:28.333945] Epoch: [21] [380/850] eta: 0:06:49 lr: 0.001287 loss: 0.1632 (0.1692) loss_rec_all: 0.1981 (0.2038) loss_rec_sfr: 0.2561 (0.2809) loss_cl: -0.3663 (-0.3665) time: 0.8592 data: 0.0002 max mem: 29859 [07:42:45.562674] Epoch: [21] [400/850] eta: 0:06:31 lr: 0.001288 loss: 0.1615 (0.1688) loss_rec_all: 0.1960 (0.2035) loss_rec_sfr: 0.2460 (0.2802) loss_cl: -0.3662 (-0.3664) time: 0.8614 data: 0.0002 max mem: 29859 [07:43:02.822666] Epoch: [21] [420/850] eta: 0:06:14 lr: 0.001289 loss: 0.1608 (0.1687) loss_rec_all: 0.1960 (0.2033) loss_rec_sfr: 0.3107 (0.2813) loss_cl: -0.3672 (-0.3665) time: 0.8630 data: 0.0002 max mem: 29859 [07:43:20.039635] Epoch: [21] [440/850] eta: 0:05:56 lr: 0.001291 loss: 0.1595 (0.1684) loss_rec_all: 0.1939 (0.2031) loss_rec_sfr: 0.2821 (0.2808) loss_cl: -0.3670 (-0.3665) time: 0.8608 data: 0.0002 max mem: 29859 [07:43:37.227811] Epoch: [21] [460/850] eta: 0:05:39 lr: 0.001292 loss: 0.1588 (0.1681) loss_rec_all: 0.1931 (0.2028) loss_rec_sfr: 0.2630 (0.2808) loss_cl: -0.3665 (-0.3665) time: 0.8594 data: 0.0002 max mem: 29859 [07:43:54.543367] Epoch: [21] [480/850] eta: 0:05:21 lr: 0.001294 loss: 0.1683 (0.1682) loss_rec_all: 0.2029 (0.2029) loss_rec_sfr: 0.2868 (0.2810) loss_cl: -0.3666 (-0.3665) time: 0.8657 data: 0.0003 max mem: 29859 [07:44:11.734567] Epoch: [21] [500/850] eta: 0:05:04 lr: 0.001295 loss: 0.1589 (0.1679) loss_rec_all: 0.1935 (0.2026) loss_rec_sfr: 0.2958 (0.2812) loss_cl: -0.3671 (-0.3665) time: 0.8595 data: 0.0002 max mem: 29859 [07:44:28.992546] Epoch: [21] [520/850] eta: 0:04:46 lr: 0.001297 loss: 0.1563 (0.1676) loss_rec_all: 0.1909 (0.2022) loss_rec_sfr: 0.2952 (0.2812) loss_cl: -0.3673 (-0.3666) time: 0.8629 data: 0.0002 max mem: 29859 [07:44:46.262681] Epoch: [21] [540/850] eta: 0:04:29 lr: 0.001298 loss: 0.1541 (0.1672) loss_rec_all: 0.1893 (0.2019) loss_rec_sfr: 0.2153 (0.2800) loss_cl: -0.3669 (-0.3666) time: 0.8635 data: 0.0003 max mem: 29859 [07:45:03.490821] Epoch: [21] [560/850] eta: 0:04:11 lr: 0.001300 loss: 0.1701 (0.1674) loss_rec_all: 0.2049 (0.2021) loss_rec_sfr: 0.3003 (0.2803) loss_cl: -0.3655 (-0.3665) time: 0.8614 data: 0.0002 max mem: 29859 [07:45:20.698200] Epoch: [21] [580/850] eta: 0:03:54 lr: 0.001301 loss: 0.1688 (0.1675) loss_rec_all: 0.2030 (0.2022) loss_rec_sfr: 0.2869 (0.2805) loss_cl: -0.3663 (-0.3665) time: 0.8603 data: 0.0002 max mem: 29859 [07:45:37.998493] Epoch: [21] [600/850] eta: 0:03:36 lr: 0.001302 loss: 0.1625 (0.1675) loss_rec_all: 0.1977 (0.2022) loss_rec_sfr: 0.3063 (0.2807) loss_cl: -0.3677 (-0.3666) time: 0.8650 data: 0.0002 max mem: 29859 [07:45:55.191875] Epoch: [21] [620/850] eta: 0:03:19 lr: 0.001303 loss: 0.1645 (0.1675) loss_rec_all: 0.1992 (0.2022) loss_rec_sfr: 0.2940 (0.2809) loss_cl: -0.3665 (-0.3666) time: 0.8596 data: 0.0002 max mem: 29859 [07:46:12.438772] Epoch: [21] [640/850] eta: 0:03:02 lr: 0.001305 loss: 0.1566 (0.1672) loss_rec_all: 0.1913 (0.2019) loss_rec_sfr: 0.2585 (0.2808) loss_cl: -0.3656 (-0.3665) time: 0.8623 data: 0.0002 max mem: 29859 [07:46:29.704901] Epoch: [21] [660/850] eta: 0:02:44 lr: 0.001306 loss: 0.1592 (0.1671) loss_rec_all: 0.1940 (0.2018) loss_rec_sfr: 0.2919 (0.2808) loss_cl: -0.3664 (-0.3665) time: 0.8633 data: 0.0002 max mem: 29859 [07:46:46.935765] Epoch: [21] [680/850] eta: 0:02:27 lr: 0.001308 loss: 0.1752 (0.1676) loss_rec_all: 0.2097 (0.2023) loss_rec_sfr: 0.3081 (0.2814) loss_cl: -0.3667 (-0.3665) time: 0.8615 data: 0.0002 max mem: 29859 [07:47:04.147213] Epoch: [21] [700/850] eta: 0:02:10 lr: 0.001309 loss: 0.1633 (0.1676) loss_rec_all: 0.1983 (0.2023) loss_rec_sfr: 0.2341 (0.2810) loss_cl: -0.3665 (-0.3665) time: 0.8605 data: 0.0002 max mem: 29859 [07:47:21.431312] Epoch: [21] [720/850] eta: 0:01:52 lr: 0.001311 loss: 0.1674 (0.1677) loss_rec_all: 0.2017 (0.2024) loss_rec_sfr: 0.3109 (0.2812) loss_cl: -0.3663 (-0.3665) time: 0.8642 data: 0.0002 max mem: 29859 [07:47:38.620488] Epoch: [21] [740/850] eta: 0:01:35 lr: 0.001312 loss: 0.1682 (0.1679) loss_rec_all: 0.2031 (0.2026) loss_rec_sfr: 0.3082 (0.2816) loss_cl: -0.3666 (-0.3665) time: 0.8594 data: 0.0002 max mem: 29859 [07:47:55.860752] Epoch: [21] [760/850] eta: 0:01:17 lr: 0.001314 loss: 0.1619 (0.1678) loss_rec_all: 0.1963 (0.2025) loss_rec_sfr: 0.2981 (0.2816) loss_cl: -0.3666 (-0.3665) time: 0.8619 data: 0.0001 max mem: 29859 [07:48:13.137929] Epoch: [21] [780/850] eta: 0:01:00 lr: 0.001315 loss: 0.1610 (0.1676) loss_rec_all: 0.1957 (0.2023) loss_rec_sfr: 0.2917 (0.2814) loss_cl: -0.3668 (-0.3665) time: 0.8638 data: 0.0002 max mem: 29859 [07:48:30.372568] Epoch: [21] [800/850] eta: 0:00:43 lr: 0.001316 loss: 0.1577 (0.1675) loss_rec_all: 0.1930 (0.2022) loss_rec_sfr: 0.2900 (0.2812) loss_cl: -0.3671 (-0.3665) time: 0.8617 data: 0.0001 max mem: 29859 [07:48:47.589713] Epoch: [21] [820/850] eta: 0:00:25 lr: 0.001318 loss: 0.1522 (0.1672) loss_rec_all: 0.1872 (0.2019) loss_rec_sfr: 0.2854 (0.2809) loss_cl: -0.3668 (-0.3666) time: 0.8608 data: 0.0002 max mem: 29859 [07:49:04.881126] Epoch: [21] [840/850] eta: 0:00:08 lr: 0.001319 loss: 0.1518 (0.1669) loss_rec_all: 0.1863 (0.2016) loss_rec_sfr: 0.2903 (0.2806) loss_cl: -0.3666 (-0.3665) time: 0.8645 data: 0.0007 max mem: 29859 [07:49:12.611989] Epoch: [21] [849/850] eta: 0:00:00 lr: 0.001320 loss: 0.1493 (0.1667) loss_rec_all: 0.1846 (0.2014) loss_rec_sfr: 0.2034 (0.2800) loss_cl: -0.3666 (-0.3665) time: 0.8627 data: 0.0006 max mem: 29859 [07:49:12.775208] Epoch: [21] Total time: 0:12:16 (0.8662 s / it) [07:49:12.777618] Averaged stats: lr: 0.001320 loss: 0.1493 (0.1662) loss_rec_all: 0.1846 (0.2009) loss_rec_sfr: 0.2034 (0.2798) loss_cl: -0.3666 (-0.3665) [07:49:12.789036] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [07:49:17.092456] Epoch: [22] [ 0/850] eta: 1:00:57 lr: 0.001320 loss: 0.1559 (0.1559) loss_rec_all: 0.1908 (0.1908) loss_rec_sfr: 0.2526 (0.2526) loss_cl: -0.3665 (-0.3665) time: 4.3026 data: 3.4469 max mem: 29859 [07:49:34.258679] Epoch: [22] [ 20/850] eta: 0:14:08 lr: 0.001321 loss: 0.1584 (0.1610) loss_rec_all: 0.1929 (0.1956) loss_rec_sfr: 0.3010 (0.3016) loss_cl: -0.3669 (-0.3669) time: 0.8583 data: 0.0001 max mem: 29859 [07:49:51.538867] Epoch: [22] [ 40/850] eta: 0:12:45 lr: 0.001323 loss: 0.1575 (0.1599) loss_rec_all: 0.1920 (0.1946) loss_rec_sfr: 0.2420 (0.2818) loss_cl: -0.3663 (-0.3666) time: 0.8640 data: 0.0002 max mem: 29859 [07:50:08.715914] Epoch: [22] [ 60/850] eta: 0:12:04 lr: 0.001324 loss: 0.1625 (0.1623) loss_rec_all: 0.1972 (0.1969) loss_rec_sfr: 0.3059 (0.2981) loss_cl: -0.3663 (-0.3665) time: 0.8588 data: 0.0001 max mem: 29859 [07:50:25.942205] Epoch: [22] [ 80/850] eta: 0:11:35 lr: 0.001326 loss: 0.1727 (0.1658) loss_rec_all: 0.2077 (0.2004) loss_rec_sfr: 0.2676 (0.2949) loss_cl: -0.3659 (-0.3664) time: 0.8612 data: 0.0002 max mem: 29859 [07:50:43.197497] Epoch: [22] [100/850] eta: 0:11:11 lr: 0.001327 loss: 0.1656 (0.1659) loss_rec_all: 0.1999 (0.2005) loss_rec_sfr: 0.2678 (0.2924) loss_cl: -0.3665 (-0.3664) time: 0.8627 data: 0.0002 max mem: 29859 [07:51:00.416983] Epoch: [22] [120/850] eta: 0:10:49 lr: 0.001328 loss: 0.1562 (0.1644) loss_rec_all: 0.1905 (0.1990) loss_rec_sfr: 0.2242 (0.2884) loss_cl: -0.3667 (-0.3664) time: 0.8609 data: 0.0002 max mem: 29859 [07:51:17.600013] Epoch: [22] [140/850] eta: 0:10:28 lr: 0.001330 loss: 0.1565 (0.1635) loss_rec_all: 0.1917 (0.1982) loss_rec_sfr: 0.2577 (0.2856) loss_cl: -0.3666 (-0.3664) time: 0.8591 data: 0.0002 max mem: 29859 [07:51:34.906404] Epoch: [22] [160/850] eta: 0:10:09 lr: 0.001331 loss: 0.1528 (0.1627) loss_rec_all: 0.1877 (0.1974) loss_rec_sfr: 0.2374 (0.2834) loss_cl: -0.3670 (-0.3665) time: 0.8653 data: 0.0003 max mem: 29859 [07:51:52.097876] Epoch: [22] [180/850] eta: 0:09:49 lr: 0.001332 loss: 0.1513 (0.1614) loss_rec_all: 0.1867 (0.1961) loss_rec_sfr: 0.2386 (0.2792) loss_cl: -0.3668 (-0.3665) time: 0.8595 data: 0.0002 max mem: 29859 [07:52:09.338064] Epoch: [22] [200/850] eta: 0:09:30 lr: 0.001334 loss: 0.1638 (0.1617) loss_rec_all: 0.1987 (0.1964) loss_rec_sfr: 0.3016 (0.2815) loss_cl: -0.3675 (-0.3666) time: 0.8619 data: 0.0001 max mem: 29859 [07:52:26.600734] Epoch: [22] [220/850] eta: 0:09:12 lr: 0.001335 loss: 0.1635 (0.1623) loss_rec_all: 0.1986 (0.1970) loss_rec_sfr: 0.2505 (0.2802) loss_cl: -0.3668 (-0.3666) time: 0.8631 data: 0.0002 max mem: 29859 [07:52:43.830331] Epoch: [22] [240/850] eta: 0:08:54 lr: 0.001337 loss: 0.1613 (0.1627) loss_rec_all: 0.1961 (0.1974) loss_rec_sfr: 0.3046 (0.2806) loss_cl: -0.3665 (-0.3666) time: 0.8614 data: 0.0002 max mem: 29859 [07:53:01.037084] Epoch: [22] [260/850] eta: 0:08:35 lr: 0.001338 loss: 0.1619 (0.1629) loss_rec_all: 0.1965 (0.1976) loss_rec_sfr: 0.2274 (0.2785) loss_cl: -0.3660 (-0.3666) time: 0.8603 data: 0.0002 max mem: 29859 [07:53:18.310555] Epoch: [22] [280/850] eta: 0:08:18 lr: 0.001340 loss: 0.1611 (0.1630) loss_rec_all: 0.1962 (0.1977) loss_rec_sfr: 0.2586 (0.2776) loss_cl: -0.3661 (-0.3665) time: 0.8636 data: 0.0002 max mem: 29859 [07:53:35.499811] Epoch: [22] [300/850] eta: 0:08:00 lr: 0.001341 loss: 0.1513 (0.1624) loss_rec_all: 0.1857 (0.1971) loss_rec_sfr: 0.2994 (0.2780) loss_cl: -0.3669 (-0.3666) time: 0.8594 data: 0.0002 max mem: 29859 [07:53:52.765691] Epoch: [22] [320/850] eta: 0:07:42 lr: 0.001343 loss: 0.1482 (0.1617) loss_rec_all: 0.1829 (0.1964) loss_rec_sfr: 0.2918 (0.2776) loss_cl: -0.3677 (-0.3666) time: 0.8632 data: 0.0002 max mem: 29859 [07:54:09.976961] Epoch: [22] [340/850] eta: 0:07:24 lr: 0.001344 loss: 0.1447 (0.1609) loss_rec_all: 0.1793 (0.1956) loss_rec_sfr: 0.2785 (0.2760) loss_cl: -0.3674 (-0.3667) time: 0.8605 data: 0.0002 max mem: 29859 [07:54:27.211762] Epoch: [22] [360/850] eta: 0:07:06 lr: 0.001345 loss: 0.1537 (0.1606) loss_rec_all: 0.1885 (0.1953) loss_rec_sfr: 0.2591 (0.2754) loss_cl: -0.3655 (-0.3666) time: 0.8617 data: 0.0002 max mem: 29859 [07:54:44.456510] Epoch: [22] [380/850] eta: 0:06:49 lr: 0.001347 loss: 0.1593 (0.1608) loss_rec_all: 0.1933 (0.1955) loss_rec_sfr: 0.2940 (0.2757) loss_cl: -0.3655 (-0.3665) time: 0.8622 data: 0.0002 max mem: 29859 [07:55:01.684616] Epoch: [22] [400/850] eta: 0:06:31 lr: 0.001348 loss: 0.1545 (0.1606) loss_rec_all: 0.1889 (0.1953) loss_rec_sfr: 0.2907 (0.2758) loss_cl: -0.3661 (-0.3665) time: 0.8614 data: 0.0002 max mem: 29859 [07:55:18.882021] Epoch: [22] [420/850] eta: 0:06:13 lr: 0.001349 loss: 0.1534 (0.1603) loss_rec_all: 0.1879 (0.1951) loss_rec_sfr: 0.2826 (0.2756) loss_cl: -0.3671 (-0.3666) time: 0.8598 data: 0.0002 max mem: 29859 [07:55:36.129898] Epoch: [22] [440/850] eta: 0:05:56 lr: 0.001351 loss: 0.1595 (0.1604) loss_rec_all: 0.1938 (0.1951) loss_rec_sfr: 0.2917 (0.2758) loss_cl: -0.3671 (-0.3666) time: 0.8623 data: 0.0002 max mem: 29859 [07:55:53.323918] Epoch: [22] [460/850] eta: 0:05:38 lr: 0.001352 loss: 0.1593 (0.1604) loss_rec_all: 0.1937 (0.1951) loss_rec_sfr: 0.2952 (0.2762) loss_cl: -0.3665 (-0.3666) time: 0.8597 data: 0.0002 max mem: 29859 [07:56:10.589072] Epoch: [22] [480/850] eta: 0:05:21 lr: 0.001354 loss: 0.1562 (0.1604) loss_rec_all: 0.1913 (0.1952) loss_rec_sfr: 0.2653 (0.2761) loss_cl: -0.3666 (-0.3666) time: 0.8632 data: 0.0002 max mem: 29859 [07:56:27.781874] Epoch: [22] [500/850] eta: 0:05:03 lr: 0.001355 loss: 0.1556 (0.1604) loss_rec_all: 0.1900 (0.1952) loss_rec_sfr: 0.2929 (0.2760) loss_cl: -0.3664 (-0.3666) time: 0.8596 data: 0.0002 max mem: 29859 [07:56:45.058188] Epoch: [22] [520/850] eta: 0:04:46 lr: 0.001357 loss: 0.1506 (0.1601) loss_rec_all: 0.1851 (0.1949) loss_rec_sfr: 0.2327 (0.2746) loss_cl: -0.3669 (-0.3666) time: 0.8638 data: 0.0002 max mem: 29859 [07:57:02.251555] Epoch: [22] [540/850] eta: 0:04:28 lr: 0.001358 loss: 0.1508 (0.1599) loss_rec_all: 0.1855 (0.1946) loss_rec_sfr: 0.2878 (0.2746) loss_cl: -0.3670 (-0.3666) time: 0.8596 data: 0.0001 max mem: 29859 [07:57:19.496286] Epoch: [22] [560/850] eta: 0:04:11 lr: 0.001360 loss: 0.1485 (0.1596) loss_rec_all: 0.1830 (0.1944) loss_rec_sfr: 0.2833 (0.2744) loss_cl: -0.3672 (-0.3666) time: 0.8622 data: 0.0001 max mem: 29859 [07:57:36.687969] Epoch: [22] [580/850] eta: 0:03:54 lr: 0.001361 loss: 0.1589 (0.1597) loss_rec_all: 0.1940 (0.1944) loss_rec_sfr: 0.2739 (0.2746) loss_cl: -0.3664 (-0.3666) time: 0.8595 data: 0.0001 max mem: 29859 [07:57:53.946146] Epoch: [22] [600/850] eta: 0:03:36 lr: 0.001362 loss: 0.1553 (0.1596) loss_rec_all: 0.1903 (0.1943) loss_rec_sfr: 0.2960 (0.2750) loss_cl: -0.3658 (-0.3666) time: 0.8628 data: 0.0002 max mem: 29859 [07:58:11.141341] Epoch: [22] [620/850] eta: 0:03:19 lr: 0.001363 loss: 0.1502 (0.1594) loss_rec_all: 0.1846 (0.1941) loss_rec_sfr: 0.2872 (0.2752) loss_cl: -0.3665 (-0.3666) time: 0.8597 data: 0.0002 max mem: 29859 [07:58:28.374549] Epoch: [22] [640/850] eta: 0:03:02 lr: 0.001365 loss: 0.1507 (0.1593) loss_rec_all: 0.1855 (0.1940) loss_rec_sfr: 0.2331 (0.2742) loss_cl: -0.3665 (-0.3666) time: 0.8616 data: 0.0002 max mem: 29859 [07:58:45.591809] Epoch: [22] [660/850] eta: 0:02:44 lr: 0.001366 loss: 0.1615 (0.1594) loss_rec_all: 0.1964 (0.1941) loss_rec_sfr: 0.2732 (0.2744) loss_cl: -0.3656 (-0.3665) time: 0.8608 data: 0.0002 max mem: 29859 [07:59:02.822160] Epoch: [22] [680/850] eta: 0:02:27 lr: 0.001368 loss: 0.1517 (0.1592) loss_rec_all: 0.1861 (0.1940) loss_rec_sfr: 0.2389 (0.2741) loss_cl: -0.3663 (-0.3665) time: 0.8615 data: 0.0002 max mem: 29859 [07:59:20.040140] Epoch: [22] [700/850] eta: 0:02:09 lr: 0.001369 loss: 0.1516 (0.1591) loss_rec_all: 0.1863 (0.1939) loss_rec_sfr: 0.2895 (0.2742) loss_cl: -0.3681 (-0.3666) time: 0.8609 data: 0.0002 max mem: 29859 [07:59:37.266529] Epoch: [22] [720/850] eta: 0:01:52 lr: 0.001371 loss: 0.1515 (0.1590) loss_rec_all: 0.1864 (0.1937) loss_rec_sfr: 0.2483 (0.2739) loss_cl: -0.3673 (-0.3666) time: 0.8613 data: 0.0001 max mem: 29859 [07:59:54.463427] Epoch: [22] [740/850] eta: 0:01:35 lr: 0.001372 loss: 0.1472 (0.1587) loss_rec_all: 0.1823 (0.1934) loss_rec_sfr: 0.2041 (0.2729) loss_cl: -0.3658 (-0.3666) time: 0.8598 data: 0.0001 max mem: 29859 [08:00:11.703319] Epoch: [22] [760/850] eta: 0:01:17 lr: 0.001374 loss: 0.1456 (0.1584) loss_rec_all: 0.1805 (0.1931) loss_rec_sfr: 0.2690 (0.2724) loss_cl: -0.3657 (-0.3665) time: 0.8620 data: 0.0001 max mem: 29859 [08:00:28.888333] Epoch: [22] [780/850] eta: 0:01:00 lr: 0.001375 loss: 0.1412 (0.1580) loss_rec_all: 0.1760 (0.1927) loss_rec_sfr: 0.1974 (0.2713) loss_cl: -0.3673 (-0.3666) time: 0.8592 data: 0.0001 max mem: 29859 [08:00:46.128998] Epoch: [22] [800/850] eta: 0:00:43 lr: 0.001376 loss: 0.1405 (0.1576) loss_rec_all: 0.1757 (0.1924) loss_rec_sfr: 0.2466 (0.2708) loss_cl: -0.3674 (-0.3666) time: 0.8620 data: 0.0001 max mem: 29859 [08:01:03.345646] Epoch: [22] [820/850] eta: 0:00:25 lr: 0.001378 loss: 0.1491 (0.1575) loss_rec_all: 0.1844 (0.1923) loss_rec_sfr: 0.2881 (0.2707) loss_cl: -0.3670 (-0.3666) time: 0.8608 data: 0.0001 max mem: 29859 [08:01:20.589213] Epoch: [22] [840/850] eta: 0:00:08 lr: 0.001379 loss: 0.1522 (0.1575) loss_rec_all: 0.1873 (0.1922) loss_rec_sfr: 0.2281 (0.2702) loss_cl: -0.3661 (-0.3666) time: 0.8621 data: 0.0004 max mem: 29859 [08:01:28.318201] Epoch: [22] [849/850] eta: 0:00:00 lr: 0.001380 loss: 0.1511 (0.1574) loss_rec_all: 0.1863 (0.1922) loss_rec_sfr: 0.2141 (0.2697) loss_cl: -0.3659 (-0.3666) time: 0.8617 data: 0.0003 max mem: 29859 [08:01:28.455913] Epoch: [22] Total time: 0:12:15 (0.8655 s / it) [08:01:28.490008] Averaged stats: lr: 0.001380 loss: 0.1511 (0.1576) loss_rec_all: 0.1863 (0.1923) loss_rec_sfr: 0.2141 (0.2712) loss_cl: -0.3659 (-0.3665) [08:01:28.495345] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [08:01:32.867526] Epoch: [23] [ 0/850] eta: 1:01:55 lr: 0.001380 loss: 0.1528 (0.1528) loss_rec_all: 0.1872 (0.1872) loss_rec_sfr: 0.3167 (0.3167) loss_cl: -0.3663 (-0.3663) time: 4.3715 data: 3.4849 max mem: 29859 [08:01:50.020402] Epoch: [23] [ 20/850] eta: 0:14:10 lr: 0.001381 loss: 0.1554 (0.1596) loss_rec_all: 0.1903 (0.1941) loss_rec_sfr: 0.2989 (0.2886) loss_cl: -0.3659 (-0.3659) time: 0.8576 data: 0.0002 max mem: 29859 [08:02:07.250628] Epoch: [23] [ 40/850] eta: 0:12:45 lr: 0.001383 loss: 0.1526 (0.1578) loss_rec_all: 0.1877 (0.1925) loss_rec_sfr: 0.2493 (0.2776) loss_cl: -0.3667 (-0.3663) time: 0.8615 data: 0.0002 max mem: 29859 [08:02:24.418885] Epoch: [23] [ 60/850] eta: 0:12:04 lr: 0.001384 loss: 0.1472 (0.1550) loss_rec_all: 0.1822 (0.1897) loss_rec_sfr: 0.2849 (0.2761) loss_cl: -0.3674 (-0.3666) time: 0.8584 data: 0.0002 max mem: 29859 [08:02:41.681340] Epoch: [23] [ 80/850] eta: 0:11:35 lr: 0.001386 loss: 0.1460 (0.1539) loss_rec_all: 0.1812 (0.1886) loss_rec_sfr: 0.2791 (0.2729) loss_cl: -0.3664 (-0.3665) time: 0.8631 data: 0.0002 max mem: 29859 [08:02:58.868486] Epoch: [23] [100/850] eta: 0:11:11 lr: 0.001387 loss: 0.1449 (0.1527) loss_rec_all: 0.1800 (0.1875) loss_rec_sfr: 0.2306 (0.2673) loss_cl: -0.3674 (-0.3666) time: 0.8593 data: 0.0002 max mem: 29859 [08:03:16.103169] Epoch: [23] [120/850] eta: 0:10:49 lr: 0.001388 loss: 0.1447 (0.1518) loss_rec_all: 0.1800 (0.1866) loss_rec_sfr: 0.2730 (0.2682) loss_cl: -0.3674 (-0.3668) time: 0.8617 data: 0.0002 max mem: 29859 [08:03:33.326243] Epoch: [23] [140/850] eta: 0:10:28 lr: 0.001390 loss: 0.1494 (0.1517) loss_rec_all: 0.1839 (0.1865) loss_rec_sfr: 0.2732 (0.2688) loss_cl: -0.3666 (-0.3667) time: 0.8611 data: 0.0002 max mem: 29859 [08:03:50.591261] Epoch: [23] [160/850] eta: 0:10:08 lr: 0.001391 loss: 0.1467 (0.1513) loss_rec_all: 0.1817 (0.1861) loss_rec_sfr: 0.2740 (0.2692) loss_cl: -0.3657 (-0.3666) time: 0.8632 data: 0.0002 max mem: 29859 [08:04:07.778512] Epoch: [23] [180/850] eta: 0:09:49 lr: 0.001392 loss: 0.1495 (0.1519) loss_rec_all: 0.1839 (0.1867) loss_rec_sfr: 0.2534 (0.2684) loss_cl: -0.3663 (-0.3665) time: 0.8593 data: 0.0002 max mem: 29859 [08:04:25.049871] Epoch: [23] [200/850] eta: 0:09:30 lr: 0.001394 loss: 0.1619 (0.1540) loss_rec_all: 0.1963 (0.1887) loss_rec_sfr: 0.3087 (0.2709) loss_cl: -0.3662 (-0.3665) time: 0.8635 data: 0.0002 max mem: 29859 [08:04:42.241253] Epoch: [23] [220/850] eta: 0:09:12 lr: 0.001395 loss: 0.1534 (0.1542) loss_rec_all: 0.1879 (0.1890) loss_rec_sfr: 0.2298 (0.2692) loss_cl: -0.3677 (-0.3666) time: 0.8595 data: 0.0002 max mem: 29859 [08:04:59.467054] Epoch: [23] [240/850] eta: 0:08:53 lr: 0.001397 loss: 0.1485 (0.1539) loss_rec_all: 0.1838 (0.1887) loss_rec_sfr: 0.2750 (0.2687) loss_cl: -0.3671 (-0.3666) time: 0.8612 data: 0.0002 max mem: 29859 [08:05:16.688423] Epoch: [23] [260/850] eta: 0:08:35 lr: 0.001398 loss: 0.1470 (0.1537) loss_rec_all: 0.1815 (0.1884) loss_rec_sfr: 0.2848 (0.2679) loss_cl: -0.3669 (-0.3667) time: 0.8610 data: 0.0002 max mem: 29859 [08:05:33.911673] Epoch: [23] [280/850] eta: 0:08:17 lr: 0.001400 loss: 0.1439 (0.1531) loss_rec_all: 0.1790 (0.1879) loss_rec_sfr: 0.2236 (0.2662) loss_cl: -0.3669 (-0.3667) time: 0.8611 data: 0.0002 max mem: 29859 [08:05:51.119716] Epoch: [23] [300/850] eta: 0:07:59 lr: 0.001401 loss: 0.1508 (0.1531) loss_rec_all: 0.1853 (0.1879) loss_rec_sfr: 0.2795 (0.2661) loss_cl: -0.3668 (-0.3667) time: 0.8603 data: 0.0002 max mem: 29859 [08:06:08.364519] Epoch: [23] [320/850] eta: 0:07:42 lr: 0.001403 loss: 0.1400 (0.1526) loss_rec_all: 0.1745 (0.1874) loss_rec_sfr: 0.2298 (0.2649) loss_cl: -0.3666 (-0.3667) time: 0.8622 data: 0.0002 max mem: 29859 [08:06:25.540846] Epoch: [23] [340/850] eta: 0:07:24 lr: 0.001404 loss: 0.1433 (0.1522) loss_rec_all: 0.1783 (0.1871) loss_rec_sfr: 0.2876 (0.2650) loss_cl: -0.3664 (-0.3667) time: 0.8588 data: 0.0002 max mem: 29859 [08:06:42.837719] Epoch: [23] [360/850] eta: 0:07:06 lr: 0.001405 loss: 0.1452 (0.1521) loss_rec_all: 0.1794 (0.1869) loss_rec_sfr: 0.2765 (0.2651) loss_cl: -0.3663 (-0.3666) time: 0.8648 data: 0.0002 max mem: 29859 [08:07:00.023259] Epoch: [23] [380/850] eta: 0:06:48 lr: 0.001407 loss: 0.1478 (0.1521) loss_rec_all: 0.1823 (0.1869) loss_rec_sfr: 0.2897 (0.2654) loss_cl: -0.3667 (-0.3666) time: 0.8592 data: 0.0002 max mem: 29859 [08:07:17.263486] Epoch: [23] [400/850] eta: 0:06:31 lr: 0.001408 loss: 0.1435 (0.1519) loss_rec_all: 0.1785 (0.1867) loss_rec_sfr: 0.2406 (0.2646) loss_cl: -0.3668 (-0.3666) time: 0.8619 data: 0.0002 max mem: 29859 [08:07:34.496530] Epoch: [23] [420/850] eta: 0:06:13 lr: 0.001409 loss: 0.1596 (0.1523) loss_rec_all: 0.1947 (0.1871) loss_rec_sfr: 0.3139 (0.2665) loss_cl: -0.3667 (-0.3667) time: 0.8616 data: 0.0002 max mem: 29859 [08:07:51.718462] Epoch: [23] [440/850] eta: 0:05:56 lr: 0.001411 loss: 0.1523 (0.1525) loss_rec_all: 0.1869 (0.1873) loss_rec_sfr: 0.3167 (0.2675) loss_cl: -0.3671 (-0.3667) time: 0.8611 data: 0.0002 max mem: 29859 [08:08:08.940321] Epoch: [23] [460/850] eta: 0:05:38 lr: 0.001412 loss: 0.1516 (0.1525) loss_rec_all: 0.1864 (0.1873) loss_rec_sfr: 0.2191 (0.2659) loss_cl: -0.3669 (-0.3667) time: 0.8610 data: 0.0002 max mem: 29859 [08:08:26.195515] Epoch: [23] [480/850] eta: 0:05:21 lr: 0.001414 loss: 0.1514 (0.1526) loss_rec_all: 0.1866 (0.1874) loss_rec_sfr: 0.2856 (0.2663) loss_cl: -0.3674 (-0.3667) time: 0.8627 data: 0.0002 max mem: 29859 [08:08:43.377441] Epoch: [23] [500/850] eta: 0:05:03 lr: 0.001415 loss: 0.1512 (0.1526) loss_rec_all: 0.1865 (0.1875) loss_rec_sfr: 0.2366 (0.2658) loss_cl: -0.3668 (-0.3667) time: 0.8591 data: 0.0002 max mem: 29859 [08:09:00.633667] Epoch: [23] [520/850] eta: 0:04:46 lr: 0.001417 loss: 0.1409 (0.1523) loss_rec_all: 0.1759 (0.1871) loss_rec_sfr: 0.2212 (0.2650) loss_cl: -0.3655 (-0.3666) time: 0.8628 data: 0.0002 max mem: 29859 [08:09:17.820549] Epoch: [23] [540/850] eta: 0:04:28 lr: 0.001418 loss: 0.1400 (0.1518) loss_rec_all: 0.1748 (0.1866) loss_rec_sfr: 0.2038 (0.2637) loss_cl: -0.3667 (-0.3667) time: 0.8593 data: 0.0002 max mem: 29859 [08:09:35.042132] Epoch: [23] [560/850] eta: 0:04:11 lr: 0.001420 loss: 0.1418 (0.1516) loss_rec_all: 0.1771 (0.1864) loss_rec_sfr: 0.2005 (0.2624) loss_cl: -0.3674 (-0.3667) time: 0.8610 data: 0.0001 max mem: 29859 [08:09:52.274203] Epoch: [23] [580/850] eta: 0:03:54 lr: 0.001421 loss: 0.1502 (0.1516) loss_rec_all: 0.1854 (0.1864) loss_rec_sfr: 0.2536 (0.2621) loss_cl: -0.3662 (-0.3667) time: 0.8616 data: 0.0002 max mem: 29859 [08:10:09.484719] Epoch: [23] [600/850] eta: 0:03:36 lr: 0.001422 loss: 0.1461 (0.1515) loss_rec_all: 0.1805 (0.1863) loss_rec_sfr: 0.2505 (0.2618) loss_cl: -0.3664 (-0.3666) time: 0.8605 data: 0.0001 max mem: 29859 [08:10:26.662712] Epoch: [23] [620/850] eta: 0:03:19 lr: 0.001423 loss: 0.1447 (0.1514) loss_rec_all: 0.1797 (0.1862) loss_rec_sfr: 0.2836 (0.2622) loss_cl: -0.3666 (-0.3666) time: 0.8589 data: 0.0001 max mem: 29859 [08:10:43.904452] Epoch: [23] [640/850] eta: 0:03:01 lr: 0.001425 loss: 0.1444 (0.1513) loss_rec_all: 0.1793 (0.1862) loss_rec_sfr: 0.2892 (0.2620) loss_cl: -0.3668 (-0.3666) time: 0.8620 data: 0.0001 max mem: 29859 [08:11:01.081055] Epoch: [23] [660/850] eta: 0:02:44 lr: 0.001426 loss: 0.1400 (0.1511) loss_rec_all: 0.1747 (0.1859) loss_rec_sfr: 0.2679 (0.2617) loss_cl: -0.3668 (-0.3666) time: 0.8588 data: 0.0001 max mem: 29859 [08:11:18.319985] Epoch: [23] [680/850] eta: 0:02:27 lr: 0.001428 loss: 0.1436 (0.1510) loss_rec_all: 0.1786 (0.1858) loss_rec_sfr: 0.2765 (0.2620) loss_cl: -0.3661 (-0.3666) time: 0.8619 data: 0.0001 max mem: 29859 [08:11:35.537171] Epoch: [23] [700/850] eta: 0:02:09 lr: 0.001429 loss: 0.1450 (0.1509) loss_rec_all: 0.1804 (0.1857) loss_rec_sfr: 0.2669 (0.2619) loss_cl: -0.3673 (-0.3666) time: 0.8608 data: 0.0002 max mem: 29859 [08:11:52.753656] Epoch: [23] [720/850] eta: 0:01:52 lr: 0.001431 loss: 0.1469 (0.1509) loss_rec_all: 0.1822 (0.1858) loss_rec_sfr: 0.2736 (0.2616) loss_cl: -0.3670 (-0.3667) time: 0.8608 data: 0.0001 max mem: 29859 [08:12:09.964904] Epoch: [23] [740/850] eta: 0:01:35 lr: 0.001432 loss: 0.1435 (0.1508) loss_rec_all: 0.1784 (0.1856) loss_rec_sfr: 0.2367 (0.2613) loss_cl: -0.3663 (-0.3666) time: 0.8605 data: 0.0001 max mem: 29859 [08:12:27.211034] Epoch: [23] [760/850] eta: 0:01:17 lr: 0.001434 loss: 0.1384 (0.1505) loss_rec_all: 0.1729 (0.1854) loss_rec_sfr: 0.2696 (0.2609) loss_cl: -0.3665 (-0.3666) time: 0.8623 data: 0.0001 max mem: 29859 [08:12:44.384004] Epoch: [23] [780/850] eta: 0:01:00 lr: 0.001435 loss: 0.1382 (0.1503) loss_rec_all: 0.1730 (0.1851) loss_rec_sfr: 0.2705 (0.2607) loss_cl: -0.3669 (-0.3666) time: 0.8586 data: 0.0001 max mem: 29859 [08:13:01.649664] Epoch: [23] [800/850] eta: 0:00:43 lr: 0.001436 loss: 0.1530 (0.1503) loss_rec_all: 0.1876 (0.1852) loss_rec_sfr: 0.2603 (0.2609) loss_cl: -0.3674 (-0.3667) time: 0.8632 data: 0.0002 max mem: 29859 [08:13:18.834899] Epoch: [23] [820/850] eta: 0:00:25 lr: 0.001438 loss: 0.1430 (0.1502) loss_rec_all: 0.1780 (0.1850) loss_rec_sfr: 0.2484 (0.2609) loss_cl: -0.3673 (-0.3667) time: 0.8592 data: 0.0001 max mem: 29859 [08:13:36.047106] Epoch: [23] [840/850] eta: 0:00:08 lr: 0.001439 loss: 0.1395 (0.1500) loss_rec_all: 0.1739 (0.1849) loss_rec_sfr: 0.2737 (0.2609) loss_cl: -0.3667 (-0.3667) time: 0.8606 data: 0.0004 max mem: 29859 [08:13:43.793079] Epoch: [23] [849/850] eta: 0:00:00 lr: 0.001440 loss: 0.1406 (0.1500) loss_rec_all: 0.1750 (0.1848) loss_rec_sfr: 0.2758 (0.2610) loss_cl: -0.3661 (-0.3667) time: 0.8612 data: 0.0003 max mem: 29859 [08:13:43.941192] Epoch: [23] Total time: 0:12:15 (0.8652 s / it) [08:13:43.960933] Averaged stats: lr: 0.001440 loss: 0.1406 (0.1497) loss_rec_all: 0.1750 (0.1845) loss_rec_sfr: 0.2758 (0.2602) loss_cl: -0.3661 (-0.3666) [08:13:43.971233] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [08:13:48.475424] Epoch: [24] [ 0/850] eta: 1:03:47 lr: 0.001440 loss: 0.1398 (0.1398) loss_rec_all: 0.1745 (0.1745) loss_rec_sfr: 0.2347 (0.2347) loss_cl: -0.3640 (-0.3640) time: 4.5030 data: 3.1987 max mem: 29859 [08:14:05.629936] Epoch: [24] [ 20/850] eta: 0:14:15 lr: 0.001441 loss: 0.1368 (0.1400) loss_rec_all: 0.1717 (0.1749) loss_rec_sfr: 0.2637 (0.2526) loss_cl: -0.3660 (-0.3659) time: 0.8577 data: 0.0001 max mem: 29859 [08:14:22.850933] Epoch: [24] [ 40/850] eta: 0:12:48 lr: 0.001443 loss: 0.1451 (0.1431) loss_rec_all: 0.1803 (0.1780) loss_rec_sfr: 0.2540 (0.2586) loss_cl: -0.3670 (-0.3664) time: 0.8610 data: 0.0002 max mem: 29859 [08:14:40.110884] Epoch: [24] [ 60/850] eta: 0:12:06 lr: 0.001444 loss: 0.1391 (0.1423) loss_rec_all: 0.1743 (0.1772) loss_rec_sfr: 0.2243 (0.2559) loss_cl: -0.3672 (-0.3667) time: 0.8629 data: 0.0002 max mem: 29859 [08:14:57.320774] Epoch: [24] [ 80/850] eta: 0:11:37 lr: 0.001446 loss: 0.1375 (0.1416) loss_rec_all: 0.1727 (0.1765) loss_rec_sfr: 0.2265 (0.2541) loss_cl: -0.3664 (-0.3666) time: 0.8605 data: 0.0002 max mem: 29859 [08:15:14.497447] Epoch: [24] [100/850] eta: 0:11:12 lr: 0.001447 loss: 0.1353 (0.1410) loss_rec_all: 0.1699 (0.1759) loss_rec_sfr: 0.2450 (0.2518) loss_cl: -0.3665 (-0.3665) time: 0.8588 data: 0.0002 max mem: 29859 [08:15:31.821541] Epoch: [24] [120/850] eta: 0:10:50 lr: 0.001448 loss: 0.1523 (0.1427) loss_rec_all: 0.1869 (0.1776) loss_rec_sfr: 0.2747 (0.2530) loss_cl: -0.3677 (-0.3667) time: 0.8661 data: 0.0002 max mem: 29859 [08:15:48.999455] Epoch: [24] [140/850] eta: 0:10:29 lr: 0.001450 loss: 0.1418 (0.1427) loss_rec_all: 0.1768 (0.1776) loss_rec_sfr: 0.2311 (0.2519) loss_cl: -0.3664 (-0.3666) time: 0.8589 data: 0.0002 max mem: 29859 [08:16:06.235094] Epoch: [24] [160/850] eta: 0:10:09 lr: 0.001451 loss: 0.1395 (0.1427) loss_rec_all: 0.1747 (0.1776) loss_rec_sfr: 0.2063 (0.2502) loss_cl: -0.3665 (-0.3666) time: 0.8617 data: 0.0002 max mem: 29859 [08:16:23.483600] Epoch: [24] [180/850] eta: 0:09:50 lr: 0.001452 loss: 0.1404 (0.1428) loss_rec_all: 0.1754 (0.1777) loss_rec_sfr: 0.2218 (0.2488) loss_cl: -0.3668 (-0.3666) time: 0.8624 data: 0.0002 max mem: 29859 [08:16:40.703603] Epoch: [24] [200/850] eta: 0:09:31 lr: 0.001454 loss: 0.1426 (0.1431) loss_rec_all: 0.1773 (0.1780) loss_rec_sfr: 0.2256 (0.2488) loss_cl: -0.3666 (-0.3666) time: 0.8610 data: 0.0002 max mem: 29859 [08:16:57.900133] Epoch: [24] [220/850] eta: 0:09:12 lr: 0.001455 loss: 0.1378 (0.1428) loss_rec_all: 0.1729 (0.1778) loss_rec_sfr: 0.2131 (0.2471) loss_cl: -0.3669 (-0.3667) time: 0.8597 data: 0.0002 max mem: 29859 [08:17:15.311250] Epoch: [24] [240/850] eta: 0:08:54 lr: 0.001457 loss: 0.1546 (0.1437) loss_rec_all: 0.1898 (0.1786) loss_rec_sfr: 0.2485 (0.2477) loss_cl: -0.3673 (-0.3667) time: 0.8705 data: 0.0003 max mem: 29859 [08:17:32.498933] Epoch: [24] [260/850] eta: 0:08:36 lr: 0.001458 loss: 0.1400 (0.1436) loss_rec_all: 0.1748 (0.1786) loss_rec_sfr: 0.2245 (0.2475) loss_cl: -0.3666 (-0.3667) time: 0.8593 data: 0.0002 max mem: 29859 [08:17:49.724154] Epoch: [24] [280/850] eta: 0:08:18 lr: 0.001460 loss: 0.1413 (0.1436) loss_rec_all: 0.1761 (0.1786) loss_rec_sfr: 0.2635 (0.2476) loss_cl: -0.3661 (-0.3666) time: 0.8612 data: 0.0002 max mem: 29859 [08:18:06.956660] Epoch: [24] [300/850] eta: 0:08:00 lr: 0.001461 loss: 0.1432 (0.1437) loss_rec_all: 0.1780 (0.1787) loss_rec_sfr: 0.2266 (0.2470) loss_cl: -0.3665 (-0.3666) time: 0.8616 data: 0.0002 max mem: 29859 [08:18:24.197233] Epoch: [24] [320/850] eta: 0:07:42 lr: 0.001463 loss: 0.1358 (0.1433) loss_rec_all: 0.1708 (0.1782) loss_rec_sfr: 0.2279 (0.2469) loss_cl: -0.3665 (-0.3666) time: 0.8620 data: 0.0002 max mem: 29859 [08:18:41.382507] Epoch: [24] [340/850] eta: 0:07:24 lr: 0.001464 loss: 0.1439 (0.1434) loss_rec_all: 0.1786 (0.1784) loss_rec_sfr: 0.2626 (0.2478) loss_cl: -0.3662 (-0.3666) time: 0.8592 data: 0.0002 max mem: 29859 [08:18:58.679216] Epoch: [24] [360/850] eta: 0:07:07 lr: 0.001465 loss: 0.1420 (0.1434) loss_rec_all: 0.1764 (0.1783) loss_rec_sfr: 0.2731 (0.2493) loss_cl: -0.3664 (-0.3666) time: 0.8648 data: 0.0003 max mem: 29859 [08:19:15.858981] Epoch: [24] [380/850] eta: 0:06:49 lr: 0.001467 loss: 0.1408 (0.1433) loss_rec_all: 0.1753 (0.1782) loss_rec_sfr: 0.2536 (0.2494) loss_cl: -0.3673 (-0.3666) time: 0.8589 data: 0.0002 max mem: 29859 [08:19:33.073624] Epoch: [24] [400/850] eta: 0:06:31 lr: 0.001468 loss: 0.1377 (0.1432) loss_rec_all: 0.1723 (0.1781) loss_rec_sfr: 0.2282 (0.2489) loss_cl: -0.3675 (-0.3667) time: 0.8607 data: 0.0002 max mem: 29859 [08:19:50.301104] Epoch: [24] [420/850] eta: 0:06:14 lr: 0.001469 loss: 0.1352 (0.1429) loss_rec_all: 0.1697 (0.1778) loss_rec_sfr: 0.1904 (0.2478) loss_cl: -0.3657 (-0.3666) time: 0.8612 data: 0.0002 max mem: 29859 [08:20:07.517713] Epoch: [24] [440/850] eta: 0:05:56 lr: 0.001471 loss: 0.1356 (0.1426) loss_rec_all: 0.1701 (0.1775) loss_rec_sfr: 0.2220 (0.2473) loss_cl: -0.3651 (-0.3666) time: 0.8608 data: 0.0002 max mem: 29859 [08:20:24.683382] Epoch: [24] [460/850] eta: 0:05:38 lr: 0.001472 loss: 0.1339 (0.1423) loss_rec_all: 0.1686 (0.1772) loss_rec_sfr: 0.2272 (0.2472) loss_cl: -0.3668 (-0.3666) time: 0.8582 data: 0.0002 max mem: 29859 [08:20:41.965437] Epoch: [24] [480/850] eta: 0:05:21 lr: 0.001474 loss: 0.1466 (0.1427) loss_rec_all: 0.1810 (0.1776) loss_rec_sfr: 0.2812 (0.2487) loss_cl: -0.3678 (-0.3666) time: 0.8640 data: 0.0002 max mem: 29859 [08:20:59.170468] Epoch: [24] [500/850] eta: 0:05:04 lr: 0.001475 loss: 0.1495 (0.1430) loss_rec_all: 0.1847 (0.1779) loss_rec_sfr: 0.2849 (0.2493) loss_cl: -0.3666 (-0.3666) time: 0.8602 data: 0.0002 max mem: 29859 [08:21:16.387089] Epoch: [24] [520/850] eta: 0:04:46 lr: 0.001477 loss: 0.1396 (0.1430) loss_rec_all: 0.1746 (0.1779) loss_rec_sfr: 0.2291 (0.2486) loss_cl: -0.3659 (-0.3666) time: 0.8608 data: 0.0002 max mem: 29859 [08:21:33.588835] Epoch: [24] [540/850] eta: 0:04:29 lr: 0.001478 loss: 0.1376 (0.1428) loss_rec_all: 0.1723 (0.1777) loss_rec_sfr: 0.2291 (0.2481) loss_cl: -0.3661 (-0.3666) time: 0.8600 data: 0.0002 max mem: 29859 [08:21:50.836065] Epoch: [24] [560/850] eta: 0:04:11 lr: 0.001480 loss: 0.1385 (0.1428) loss_rec_all: 0.1735 (0.1777) loss_rec_sfr: 0.2563 (0.2481) loss_cl: -0.3673 (-0.3666) time: 0.8623 data: 0.0002 max mem: 29859 [08:22:08.021401] Epoch: [24] [580/850] eta: 0:03:54 lr: 0.001481 loss: 0.1380 (0.1426) loss_rec_all: 0.1735 (0.1776) loss_rec_sfr: 0.2776 (0.2483) loss_cl: -0.3676 (-0.3666) time: 0.8592 data: 0.0002 max mem: 29859 [08:22:25.270169] Epoch: [24] [600/850] eta: 0:03:36 lr: 0.001482 loss: 0.1349 (0.1424) loss_rec_all: 0.1701 (0.1774) loss_rec_sfr: 0.2729 (0.2485) loss_cl: -0.3662 (-0.3666) time: 0.8623 data: 0.0002 max mem: 29859 [08:22:42.497155] Epoch: [24] [620/850] eta: 0:03:19 lr: 0.001483 loss: 0.1326 (0.1422) loss_rec_all: 0.1678 (0.1771) loss_rec_sfr: 0.2355 (0.2484) loss_cl: -0.3653 (-0.3666) time: 0.8613 data: 0.0002 max mem: 29859 [08:22:59.724204] Epoch: [24] [640/850] eta: 0:03:02 lr: 0.001485 loss: 0.1386 (0.1421) loss_rec_all: 0.1741 (0.1771) loss_rec_sfr: 0.2348 (0.2483) loss_cl: -0.3676 (-0.3666) time: 0.8613 data: 0.0002 max mem: 29859 [08:23:16.952128] Epoch: [24] [660/850] eta: 0:02:44 lr: 0.001486 loss: 0.1373 (0.1421) loss_rec_all: 0.1723 (0.1770) loss_rec_sfr: 0.2170 (0.2477) loss_cl: -0.3668 (-0.3666) time: 0.8613 data: 0.0002 max mem: 29859 [08:23:34.267866] Epoch: [24] [680/850] eta: 0:02:27 lr: 0.001488 loss: 0.1367 (0.1419) loss_rec_all: 0.1715 (0.1768) loss_rec_sfr: 0.2146 (0.2474) loss_cl: -0.3661 (-0.3666) time: 0.8657 data: 0.0002 max mem: 29859 [08:23:51.456458] Epoch: [24] [700/850] eta: 0:02:09 lr: 0.001489 loss: 0.1328 (0.1417) loss_rec_all: 0.1677 (0.1766) loss_rec_sfr: 0.2472 (0.2472) loss_cl: -0.3665 (-0.3666) time: 0.8594 data: 0.0002 max mem: 29859 [08:24:08.717118] Epoch: [24] [720/850] eta: 0:01:52 lr: 0.001491 loss: 0.1361 (0.1416) loss_rec_all: 0.1708 (0.1766) loss_rec_sfr: 0.2648 (0.2475) loss_cl: -0.3672 (-0.3666) time: 0.8630 data: 0.0002 max mem: 29859 [08:24:25.956748] Epoch: [24] [740/850] eta: 0:01:35 lr: 0.001492 loss: 0.1376 (0.1417) loss_rec_all: 0.1724 (0.1766) loss_rec_sfr: 0.2311 (0.2473) loss_cl: -0.3669 (-0.3666) time: 0.8619 data: 0.0002 max mem: 29859 [08:24:43.171167] Epoch: [24] [760/850] eta: 0:01:17 lr: 0.001494 loss: 0.1365 (0.1416) loss_rec_all: 0.1710 (0.1765) loss_rec_sfr: 0.2702 (0.2477) loss_cl: -0.3665 (-0.3666) time: 0.8607 data: 0.0002 max mem: 29859 [08:25:00.364495] Epoch: [24] [780/850] eta: 0:01:00 lr: 0.001495 loss: 0.1392 (0.1416) loss_rec_all: 0.1743 (0.1765) loss_rec_sfr: 0.2406 (0.2480) loss_cl: -0.3669 (-0.3666) time: 0.8596 data: 0.0002 max mem: 29859 [08:25:17.672130] Epoch: [24] [800/850] eta: 0:00:43 lr: 0.001496 loss: 0.1379 (0.1416) loss_rec_all: 0.1730 (0.1765) loss_rec_sfr: 0.2423 (0.2482) loss_cl: -0.3664 (-0.3666) time: 0.8653 data: 0.0002 max mem: 29859 [08:25:34.858668] Epoch: [24] [820/850] eta: 0:00:25 lr: 0.001498 loss: 0.1388 (0.1416) loss_rec_all: 0.1735 (0.1765) loss_rec_sfr: 0.2784 (0.2483) loss_cl: -0.3667 (-0.3666) time: 0.8593 data: 0.0002 max mem: 29859 [08:25:52.086063] Epoch: [24] [840/850] eta: 0:00:08 lr: 0.001499 loss: 0.1329 (0.1415) loss_rec_all: 0.1681 (0.1764) loss_rec_sfr: 0.2013 (0.2476) loss_cl: -0.3665 (-0.3666) time: 0.8613 data: 0.0004 max mem: 29859 [08:25:59.862799] Epoch: [24] [849/850] eta: 0:00:00 lr: 0.001500 loss: 0.1340 (0.1414) loss_rec_all: 0.1694 (0.1763) loss_rec_sfr: 0.2050 (0.2474) loss_cl: -0.3662 (-0.3666) time: 0.8632 data: 0.0004 max mem: 29859 [08:26:00.028212] Epoch: [24] Total time: 0:12:16 (0.8659 s / it) [08:26:00.033589] Averaged stats: lr: 0.001500 loss: 0.1340 (0.1415) loss_rec_all: 0.1694 (0.1765) loss_rec_sfr: 0.2050 (0.2487) loss_cl: -0.3662 (-0.3666) [08:26:00.053505] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [08:26:04.628231] Epoch: [25] [ 0/850] eta: 1:04:47 lr: 0.001500 loss: 0.1574 (0.1574) loss_rec_all: 0.1920 (0.1920) loss_rec_sfr: 0.2700 (0.2700) loss_cl: -0.3649 (-0.3649) time: 4.5740 data: 3.1577 max mem: 29859 [08:26:21.783331] Epoch: [25] [ 20/850] eta: 0:14:18 lr: 0.001501 loss: 0.1370 (0.1414) loss_rec_all: 0.1720 (0.1764) loss_rec_sfr: 0.2190 (0.2403) loss_cl: -0.3663 (-0.3666) time: 0.8577 data: 0.0002 max mem: 29859 [08:26:39.014015] Epoch: [25] [ 40/850] eta: 0:12:49 lr: 0.001503 loss: 0.1327 (0.1387) loss_rec_all: 0.1674 (0.1737) loss_rec_sfr: 0.2510 (0.2420) loss_cl: -0.3680 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [08:26:56.265023] Epoch: [25] [ 60/850] eta: 0:12:07 lr: 0.001504 loss: 0.1293 (0.1363) loss_rec_all: 0.1645 (0.1714) loss_rec_sfr: 0.1893 (0.2313) loss_cl: -0.3666 (-0.3670) time: 0.8625 data: 0.0002 max mem: 29859 [08:27:13.490317] Epoch: [25] [ 80/850] eta: 0:11:38 lr: 0.001506 loss: 0.1395 (0.1374) loss_rec_all: 0.1746 (0.1724) loss_rec_sfr: 0.2225 (0.2358) loss_cl: -0.3663 (-0.3668) time: 0.8612 data: 0.0002 max mem: 29859 [08:27:30.666203] Epoch: [25] [100/850] eta: 0:11:12 lr: 0.001507 loss: 0.1349 (0.1376) loss_rec_all: 0.1698 (0.1726) loss_rec_sfr: 0.2636 (0.2395) loss_cl: -0.3674 (-0.3668) time: 0.8587 data: 0.0002 max mem: 29859 [08:27:47.993206] Epoch: [25] [120/850] eta: 0:10:51 lr: 0.001508 loss: 0.1370 (0.1379) loss_rec_all: 0.1720 (0.1729) loss_rec_sfr: 0.2309 (0.2410) loss_cl: -0.3667 (-0.3668) time: 0.8663 data: 0.0002 max mem: 29859 [08:28:05.180739] Epoch: [25] [140/850] eta: 0:10:30 lr: 0.001510 loss: 0.1421 (0.1392) loss_rec_all: 0.1768 (0.1742) loss_rec_sfr: 0.2830 (0.2458) loss_cl: -0.3672 (-0.3668) time: 0.8593 data: 0.0002 max mem: 29859 [08:28:22.399146] Epoch: [25] [160/850] eta: 0:10:10 lr: 0.001511 loss: 0.1372 (0.1395) loss_rec_all: 0.1722 (0.1745) loss_rec_sfr: 0.2646 (0.2463) loss_cl: -0.3666 (-0.3668) time: 0.8609 data: 0.0002 max mem: 29859 [08:28:39.612838] Epoch: [25] [180/850] eta: 0:09:50 lr: 0.001512 loss: 0.1332 (0.1391) loss_rec_all: 0.1681 (0.1741) loss_rec_sfr: 0.2358 (0.2452) loss_cl: -0.3662 (-0.3667) time: 0.8606 data: 0.0002 max mem: 29859 [08:28:56.871749] Epoch: [25] [200/850] eta: 0:09:31 lr: 0.001514 loss: 0.1314 (0.1385) loss_rec_all: 0.1660 (0.1735) loss_rec_sfr: 0.2429 (0.2448) loss_cl: -0.3670 (-0.3667) time: 0.8629 data: 0.0002 max mem: 29859 [08:29:14.056789] Epoch: [25] [220/850] eta: 0:09:13 lr: 0.001515 loss: 0.1374 (0.1387) loss_rec_all: 0.1725 (0.1736) loss_rec_sfr: 0.2634 (0.2456) loss_cl: -0.3666 (-0.3667) time: 0.8592 data: 0.0002 max mem: 29859 [08:29:31.359227] Epoch: [25] [240/850] eta: 0:08:54 lr: 0.001517 loss: 0.1336 (0.1387) loss_rec_all: 0.1687 (0.1736) loss_rec_sfr: 0.2196 (0.2453) loss_cl: -0.3668 (-0.3667) time: 0.8650 data: 0.0003 max mem: 29859 [08:29:48.552846] Epoch: [25] [260/850] eta: 0:08:36 lr: 0.001518 loss: 0.1305 (0.1385) loss_rec_all: 0.1651 (0.1734) loss_rec_sfr: 0.2229 (0.2443) loss_cl: -0.3663 (-0.3666) time: 0.8596 data: 0.0002 max mem: 29859 [08:30:05.778571] Epoch: [25] [280/850] eta: 0:08:18 lr: 0.001520 loss: 0.1323 (0.1381) loss_rec_all: 0.1669 (0.1730) loss_rec_sfr: 0.2096 (0.2430) loss_cl: -0.3666 (-0.3666) time: 0.8612 data: 0.0002 max mem: 29859 [08:30:23.040675] Epoch: [25] [300/850] eta: 0:08:00 lr: 0.001521 loss: 0.1401 (0.1383) loss_rec_all: 0.1743 (0.1733) loss_rec_sfr: 0.3092 (0.2466) loss_cl: -0.3670 (-0.3667) time: 0.8630 data: 0.0003 max mem: 29859 [08:30:40.293730] Epoch: [25] [320/850] eta: 0:07:42 lr: 0.001523 loss: 0.1384 (0.1385) loss_rec_all: 0.1729 (0.1734) loss_rec_sfr: 0.2648 (0.2479) loss_cl: -0.3663 (-0.3666) time: 0.8626 data: 0.0002 max mem: 29859 [08:30:57.483427] Epoch: [25] [340/850] eta: 0:07:24 lr: 0.001524 loss: 0.1400 (0.1387) loss_rec_all: 0.1747 (0.1736) loss_rec_sfr: 0.2551 (0.2483) loss_cl: -0.3667 (-0.3666) time: 0.8594 data: 0.0002 max mem: 29859 [08:31:14.778234] Epoch: [25] [360/850] eta: 0:07:07 lr: 0.001525 loss: 0.1349 (0.1386) loss_rec_all: 0.1700 (0.1735) loss_rec_sfr: 0.2117 (0.2475) loss_cl: -0.3663 (-0.3666) time: 0.8647 data: 0.0002 max mem: 29859 [08:31:32.020612] Epoch: [25] [380/850] eta: 0:06:49 lr: 0.001527 loss: 0.1310 (0.1382) loss_rec_all: 0.1657 (0.1732) loss_rec_sfr: 0.2316 (0.2470) loss_cl: -0.3671 (-0.3666) time: 0.8621 data: 0.0002 max mem: 29859 [08:31:49.239552] Epoch: [25] [400/850] eta: 0:06:31 lr: 0.001528 loss: 0.1372 (0.1382) loss_rec_all: 0.1716 (0.1731) loss_rec_sfr: 0.2698 (0.2474) loss_cl: -0.3667 (-0.3666) time: 0.8609 data: 0.0002 max mem: 29859 [08:32:06.427831] Epoch: [25] [420/850] eta: 0:06:14 lr: 0.001529 loss: 0.1321 (0.1380) loss_rec_all: 0.1669 (0.1729) loss_rec_sfr: 0.2724 (0.2477) loss_cl: -0.3667 (-0.3666) time: 0.8594 data: 0.0002 max mem: 29859 [08:32:23.672037] Epoch: [25] [440/850] eta: 0:05:56 lr: 0.001531 loss: 0.1372 (0.1381) loss_rec_all: 0.1719 (0.1730) loss_rec_sfr: 0.2205 (0.2479) loss_cl: -0.3674 (-0.3667) time: 0.8622 data: 0.0002 max mem: 29859 [08:32:40.826401] Epoch: [25] [460/850] eta: 0:05:39 lr: 0.001532 loss: 0.1459 (0.1387) loss_rec_all: 0.1810 (0.1737) loss_rec_sfr: 0.2209 (0.2479) loss_cl: -0.3672 (-0.3667) time: 0.8577 data: 0.0002 max mem: 29859 [08:32:58.049284] Epoch: [25] [480/850] eta: 0:05:21 lr: 0.001534 loss: 0.1410 (0.1389) loss_rec_all: 0.1763 (0.1738) loss_rec_sfr: 0.2143 (0.2475) loss_cl: -0.3672 (-0.3667) time: 0.8611 data: 0.0002 max mem: 29859 [08:33:15.254885] Epoch: [25] [500/850] eta: 0:05:04 lr: 0.001535 loss: 0.1380 (0.1389) loss_rec_all: 0.1724 (0.1738) loss_rec_sfr: 0.2063 (0.2467) loss_cl: -0.3660 (-0.3667) time: 0.8602 data: 0.0002 max mem: 29859 [08:33:32.473432] Epoch: [25] [520/850] eta: 0:04:46 lr: 0.001537 loss: 0.1375 (0.1389) loss_rec_all: 0.1721 (0.1738) loss_rec_sfr: 0.2654 (0.2471) loss_cl: -0.3661 (-0.3666) time: 0.8609 data: 0.0001 max mem: 29859 [08:33:49.682930] Epoch: [25] [540/850] eta: 0:04:29 lr: 0.001538 loss: 0.1383 (0.1389) loss_rec_all: 0.1726 (0.1738) loss_rec_sfr: 0.2729 (0.2479) loss_cl: -0.3668 (-0.3666) time: 0.8604 data: 0.0002 max mem: 29859 [08:34:06.987527] Epoch: [25] [560/850] eta: 0:04:11 lr: 0.001540 loss: 0.1320 (0.1388) loss_rec_all: 0.1672 (0.1737) loss_rec_sfr: 0.2649 (0.2481) loss_cl: -0.3670 (-0.3667) time: 0.8652 data: 0.0002 max mem: 29859 [08:34:24.166477] Epoch: [25] [580/850] eta: 0:03:54 lr: 0.001541 loss: 0.1287 (0.1385) loss_rec_all: 0.1637 (0.1734) loss_rec_sfr: 0.2565 (0.2480) loss_cl: -0.3663 (-0.3667) time: 0.8589 data: 0.0002 max mem: 29859 [08:34:41.403766] Epoch: [25] [600/850] eta: 0:03:36 lr: 0.001542 loss: 0.1289 (0.1382) loss_rec_all: 0.1635 (0.1732) loss_rec_sfr: 0.2003 (0.2472) loss_cl: -0.3661 (-0.3666) time: 0.8618 data: 0.0002 max mem: 29859 [08:34:58.661836] Epoch: [25] [620/850] eta: 0:03:19 lr: 0.001543 loss: 0.1356 (0.1382) loss_rec_all: 0.1703 (0.1731) loss_rec_sfr: 0.2769 (0.2482) loss_cl: -0.3674 (-0.3666) time: 0.8628 data: 0.0003 max mem: 29859 [08:35:16.163062] Epoch: [25] [640/850] eta: 0:03:02 lr: 0.001545 loss: 0.1307 (0.1380) loss_rec_all: 0.1660 (0.1729) loss_rec_sfr: 0.1886 (0.2474) loss_cl: -0.3676 (-0.3667) time: 0.8750 data: 0.0004 max mem: 29859 [08:35:33.571043] Epoch: [25] [660/850] eta: 0:02:44 lr: 0.001546 loss: 0.1319 (0.1379) loss_rec_all: 0.1673 (0.1728) loss_rec_sfr: 0.2190 (0.2472) loss_cl: -0.3674 (-0.3667) time: 0.8703 data: 0.0004 max mem: 29859 [08:35:51.212434] Epoch: [25] [680/850] eta: 0:02:27 lr: 0.001548 loss: 0.1291 (0.1377) loss_rec_all: 0.1642 (0.1726) loss_rec_sfr: 0.2180 (0.2466) loss_cl: -0.3664 (-0.3667) time: 0.8820 data: 0.0004 max mem: 29859 [08:36:08.644241] Epoch: [25] [700/850] eta: 0:02:10 lr: 0.001549 loss: 0.1288 (0.1375) loss_rec_all: 0.1639 (0.1725) loss_rec_sfr: 0.2462 (0.2462) loss_cl: -0.3665 (-0.3667) time: 0.8715 data: 0.0004 max mem: 29859 [08:36:26.463840] Epoch: [25] [720/850] eta: 0:01:52 lr: 0.001551 loss: 0.1283 (0.1373) loss_rec_all: 0.1635 (0.1723) loss_rec_sfr: 0.1970 (0.2453) loss_cl: -0.3666 (-0.3667) time: 0.8908 data: 0.0004 max mem: 29859 [08:36:44.077430] Epoch: [25] [740/850] eta: 0:01:35 lr: 0.001552 loss: 0.1316 (0.1372) loss_rec_all: 0.1663 (0.1722) loss_rec_sfr: 0.2694 (0.2455) loss_cl: -0.3666 (-0.3667) time: 0.8806 data: 0.0008 max mem: 29859 [08:37:01.338660] Epoch: [25] [760/850] eta: 0:01:18 lr: 0.001554 loss: 0.1391 (0.1373) loss_rec_all: 0.1738 (0.1723) loss_rec_sfr: 0.2450 (0.2457) loss_cl: -0.3675 (-0.3667) time: 0.8630 data: 0.0003 max mem: 29859 [08:37:18.569821] Epoch: [25] [780/850] eta: 0:01:00 lr: 0.001555 loss: 0.1321 (0.1372) loss_rec_all: 0.1673 (0.1722) loss_rec_sfr: 0.2338 (0.2457) loss_cl: -0.3668 (-0.3667) time: 0.8615 data: 0.0002 max mem: 29859 [08:37:36.283516] Epoch: [25] [800/850] eta: 0:00:43 lr: 0.001556 loss: 0.1301 (0.1371) loss_rec_all: 0.1653 (0.1720) loss_rec_sfr: 0.1902 (0.2450) loss_cl: -0.3647 (-0.3666) time: 0.8856 data: 0.0006 max mem: 29859 [08:37:53.658386] Epoch: [25] [820/850] eta: 0:00:26 lr: 0.001558 loss: 0.1331 (0.1371) loss_rec_all: 0.1684 (0.1721) loss_rec_sfr: 0.2148 (0.2450) loss_cl: -0.3656 (-0.3666) time: 0.8686 data: 0.0004 max mem: 29859 [08:38:11.030815] Epoch: [25] [840/850] eta: 0:00:08 lr: 0.001559 loss: 0.1301 (0.1370) loss_rec_all: 0.1652 (0.1719) loss_rec_sfr: 0.2159 (0.2446) loss_cl: -0.3675 (-0.3666) time: 0.8685 data: 0.0006 max mem: 29859 [08:38:19.015042] Epoch: [25] [849/850] eta: 0:00:00 lr: 0.001560 loss: 0.1301 (0.1369) loss_rec_all: 0.1655 (0.1719) loss_rec_sfr: 0.2242 (0.2447) loss_cl: -0.3677 (-0.3667) time: 0.8793 data: 0.0007 max mem: 29859 [08:38:19.197698] Epoch: [25] Total time: 0:12:19 (0.8696 s / it) [08:38:19.232295] Averaged stats: lr: 0.001560 loss: 0.1301 (0.1369) loss_rec_all: 0.1655 (0.1719) loss_rec_sfr: 0.2242 (0.2456) loss_cl: -0.3677 (-0.3666) [08:38:19.241083] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [08:38:27.079053] Epoch: [26] [ 0/850] eta: 1:51:01 lr: 0.001560 loss: 0.1411 (0.1411) loss_rec_all: 0.1754 (0.1754) loss_rec_sfr: 0.3405 (0.3405) loss_cl: -0.3673 (-0.3673) time: 7.8370 data: 6.8820 max mem: 29859 [08:38:44.768262] Epoch: [26] [ 20/850] eta: 0:16:48 lr: 0.001561 loss: 0.1320 (0.1350) loss_rec_all: 0.1674 (0.1701) loss_rec_sfr: 0.2202 (0.2410) loss_cl: -0.3677 (-0.3678) time: 0.8844 data: 0.0002 max mem: 29859 [08:39:02.150296] Epoch: [26] [ 40/850] eta: 0:14:07 lr: 0.001563 loss: 0.1252 (0.1314) loss_rec_all: 0.1602 (0.1665) loss_rec_sfr: 0.2154 (0.2338) loss_cl: -0.3673 (-0.3675) time: 0.8690 data: 0.0004 max mem: 29859 [08:39:19.529024] Epoch: [26] [ 60/850] eta: 0:13:00 lr: 0.001564 loss: 0.1268 (0.1305) loss_rec_all: 0.1614 (0.1656) loss_rec_sfr: 0.2312 (0.2348) loss_cl: -0.3663 (-0.3671) time: 0.8689 data: 0.0003 max mem: 29859 [08:39:36.806565] Epoch: [26] [ 80/850] eta: 0:12:17 lr: 0.001566 loss: 0.1270 (0.1303) loss_rec_all: 0.1623 (0.1653) loss_rec_sfr: 0.2642 (0.2352) loss_cl: -0.3667 (-0.3669) time: 0.8638 data: 0.0002 max mem: 29859 [08:39:54.185723] Epoch: [26] [100/850] eta: 0:11:44 lr: 0.001567 loss: 0.1265 (0.1303) loss_rec_all: 0.1621 (0.1653) loss_rec_sfr: 0.2583 (0.2369) loss_cl: -0.3670 (-0.3669) time: 0.8689 data: 0.0004 max mem: 29859 [08:40:11.565785] Epoch: [26] [120/850] eta: 0:11:17 lr: 0.001568 loss: 0.1376 (0.1322) loss_rec_all: 0.1729 (0.1672) loss_rec_sfr: 0.2816 (0.2416) loss_cl: -0.3671 (-0.3669) time: 0.8689 data: 0.0003 max mem: 29859 [08:40:28.777870] Epoch: [26] [140/850] eta: 0:10:52 lr: 0.001570 loss: 0.1305 (0.1322) loss_rec_all: 0.1652 (0.1672) loss_rec_sfr: 0.2186 (0.2396) loss_cl: -0.3662 (-0.3668) time: 0.8606 data: 0.0002 max mem: 29859 [08:40:46.119992] Epoch: [26] [160/850] eta: 0:10:29 lr: 0.001571 loss: 0.1290 (0.1322) loss_rec_all: 0.1639 (0.1672) loss_rec_sfr: 0.2691 (0.2416) loss_cl: -0.3667 (-0.3668) time: 0.8670 data: 0.0003 max mem: 29859 [08:41:03.478693] Epoch: [26] [180/850] eta: 0:10:07 lr: 0.001572 loss: 0.1256 (0.1318) loss_rec_all: 0.1611 (0.1668) loss_rec_sfr: 0.1972 (0.2389) loss_cl: -0.3662 (-0.3667) time: 0.8679 data: 0.0003 max mem: 29859 [08:41:20.902712] Epoch: [26] [200/850] eta: 0:09:47 lr: 0.001574 loss: 0.1306 (0.1321) loss_rec_all: 0.1657 (0.1671) loss_rec_sfr: 0.2545 (0.2393) loss_cl: -0.3663 (-0.3667) time: 0.8711 data: 0.0002 max mem: 29859 [08:41:38.248207] Epoch: [26] [220/850] eta: 0:09:27 lr: 0.001575 loss: 0.1261 (0.1319) loss_rec_all: 0.1609 (0.1669) loss_rec_sfr: 0.2639 (0.2405) loss_cl: -0.3673 (-0.3667) time: 0.8672 data: 0.0003 max mem: 29859 [08:41:56.205736] Epoch: [26] [240/850] eta: 0:09:09 lr: 0.001577 loss: 0.1382 (0.1324) loss_rec_all: 0.1725 (0.1674) loss_rec_sfr: 0.2634 (0.2433) loss_cl: -0.3684 (-0.3669) time: 0.8978 data: 0.0006 max mem: 29859 [08:42:13.578554] Epoch: [26] [260/850] eta: 0:08:49 lr: 0.001578 loss: 0.1313 (0.1326) loss_rec_all: 0.1660 (0.1676) loss_rec_sfr: 0.2645 (0.2444) loss_cl: -0.3681 (-0.3669) time: 0.8685 data: 0.0003 max mem: 29859 [08:42:30.900140] Epoch: [26] [280/850] eta: 0:08:30 lr: 0.001580 loss: 0.1254 (0.1321) loss_rec_all: 0.1605 (0.1671) loss_rec_sfr: 0.2219 (0.2437) loss_cl: -0.3660 (-0.3669) time: 0.8660 data: 0.0003 max mem: 29859 [08:42:48.402521] Epoch: [26] [300/850] eta: 0:08:11 lr: 0.001581 loss: 0.1239 (0.1317) loss_rec_all: 0.1586 (0.1667) loss_rec_sfr: 0.2566 (0.2434) loss_cl: -0.3652 (-0.3667) time: 0.8750 data: 0.0004 max mem: 29859 [08:43:05.950439] Epoch: [26] [320/850] eta: 0:07:53 lr: 0.001583 loss: 0.1217 (0.1312) loss_rec_all: 0.1568 (0.1662) loss_rec_sfr: 0.2049 (0.2418) loss_cl: -0.3667 (-0.3667) time: 0.8773 data: 0.0003 max mem: 29859 [08:43:23.199437] Epoch: [26] [340/850] eta: 0:07:34 lr: 0.001584 loss: 0.1283 (0.1312) loss_rec_all: 0.1634 (0.1662) loss_rec_sfr: 0.2525 (0.2422) loss_cl: -0.3682 (-0.3668) time: 0.8624 data: 0.0002 max mem: 29859 [08:43:40.598454] Epoch: [26] [360/850] eta: 0:07:16 lr: 0.001585 loss: 0.1278 (0.1312) loss_rec_all: 0.1627 (0.1662) loss_rec_sfr: 0.2215 (0.2414) loss_cl: -0.3665 (-0.3668) time: 0.8699 data: 0.0003 max mem: 29859 [08:43:58.035396] Epoch: [26] [380/850] eta: 0:06:57 lr: 0.001587 loss: 0.1282 (0.1313) loss_rec_all: 0.1631 (0.1662) loss_rec_sfr: 0.2712 (0.2421) loss_cl: -0.3655 (-0.3667) time: 0.8718 data: 0.0003 max mem: 29859 [08:44:15.328244] Epoch: [26] [400/850] eta: 0:06:39 lr: 0.001588 loss: 0.1332 (0.1316) loss_rec_all: 0.1685 (0.1665) loss_rec_sfr: 0.2096 (0.2414) loss_cl: -0.3669 (-0.3667) time: 0.8646 data: 0.0003 max mem: 29859 [08:44:32.808084] Epoch: [26] [420/850] eta: 0:06:21 lr: 0.001589 loss: 0.1309 (0.1317) loss_rec_all: 0.1658 (0.1667) loss_rec_sfr: 0.2629 (0.2415) loss_cl: -0.3669 (-0.3667) time: 0.8738 data: 0.0004 max mem: 29859 [08:44:50.274275] Epoch: [26] [440/850] eta: 0:06:03 lr: 0.001591 loss: 0.1314 (0.1319) loss_rec_all: 0.1661 (0.1669) loss_rec_sfr: 0.2619 (0.2416) loss_cl: -0.3670 (-0.3667) time: 0.8732 data: 0.0004 max mem: 29859 [08:45:07.494624] Epoch: [26] [460/850] eta: 0:05:45 lr: 0.001592 loss: 0.1454 (0.1326) loss_rec_all: 0.1804 (0.1676) loss_rec_sfr: 0.2340 (0.2421) loss_cl: -0.3665 (-0.3667) time: 0.8610 data: 0.0002 max mem: 29859 [08:45:24.908026] Epoch: [26] [480/850] eta: 0:05:27 lr: 0.001594 loss: 0.1404 (0.1331) loss_rec_all: 0.1754 (0.1681) loss_rec_sfr: 0.2636 (0.2427) loss_cl: -0.3663 (-0.3667) time: 0.8706 data: 0.0003 max mem: 29859 [08:45:42.487494] Epoch: [26] [500/850] eta: 0:05:09 lr: 0.001595 loss: 0.1299 (0.1331) loss_rec_all: 0.1647 (0.1681) loss_rec_sfr: 0.2586 (0.2428) loss_cl: -0.3671 (-0.3667) time: 0.8789 data: 0.0003 max mem: 29859 [08:45:59.956251] Epoch: [26] [520/850] eta: 0:04:51 lr: 0.001597 loss: 0.1249 (0.1329) loss_rec_all: 0.1603 (0.1679) loss_rec_sfr: 0.2089 (0.2423) loss_cl: -0.3666 (-0.3667) time: 0.8734 data: 0.0004 max mem: 29859 [08:46:17.260792] Epoch: [26] [540/850] eta: 0:04:33 lr: 0.001598 loss: 0.1302 (0.1330) loss_rec_all: 0.1654 (0.1680) loss_rec_sfr: 0.1969 (0.2413) loss_cl: -0.3665 (-0.3667) time: 0.8652 data: 0.0002 max mem: 29859 [08:46:34.740616] Epoch: [26] [560/850] eta: 0:04:16 lr: 0.001600 loss: 0.1364 (0.1332) loss_rec_all: 0.1713 (0.1682) loss_rec_sfr: 0.2761 (0.2417) loss_cl: -0.3669 (-0.3667) time: 0.8738 data: 0.0003 max mem: 29859 [08:46:52.088701] Epoch: [26] [580/850] eta: 0:03:58 lr: 0.001601 loss: 0.1316 (0.1332) loss_rec_all: 0.1670 (0.1682) loss_rec_sfr: 0.2566 (0.2420) loss_cl: -0.3670 (-0.3667) time: 0.8673 data: 0.0004 max mem: 29859 [08:47:09.740284] Epoch: [26] [600/850] eta: 0:03:40 lr: 0.001602 loss: 0.1408 (0.1335) loss_rec_all: 0.1757 (0.1685) loss_rec_sfr: 0.2231 (0.2427) loss_cl: -0.3668 (-0.3667) time: 0.8825 data: 0.0005 max mem: 29859 [08:47:27.330700] Epoch: [26] [620/850] eta: 0:03:22 lr: 0.001603 loss: 0.1337 (0.1336) loss_rec_all: 0.1688 (0.1685) loss_rec_sfr: 0.2300 (0.2427) loss_cl: -0.3661 (-0.3667) time: 0.8794 data: 0.0006 max mem: 29859 [08:47:44.745042] Epoch: [26] [640/850] eta: 0:03:05 lr: 0.001605 loss: 0.1276 (0.1334) loss_rec_all: 0.1631 (0.1684) loss_rec_sfr: 0.1830 (0.2421) loss_cl: -0.3665 (-0.3667) time: 0.8706 data: 0.0004 max mem: 29859 [08:48:02.091822] Epoch: [26] [660/850] eta: 0:02:47 lr: 0.001606 loss: 0.1256 (0.1332) loss_rec_all: 0.1602 (0.1682) loss_rec_sfr: 0.2214 (0.2418) loss_cl: -0.3670 (-0.3667) time: 0.8672 data: 0.0002 max mem: 29859 [08:48:19.656650] Epoch: [26] [680/850] eta: 0:02:29 lr: 0.001608 loss: 0.1268 (0.1331) loss_rec_all: 0.1623 (0.1681) loss_rec_sfr: 0.2068 (0.2413) loss_cl: -0.3667 (-0.3667) time: 0.8782 data: 0.0005 max mem: 29859 [08:48:37.006489] Epoch: [26] [700/850] eta: 0:02:12 lr: 0.001609 loss: 0.1367 (0.1333) loss_rec_all: 0.1719 (0.1682) loss_rec_sfr: 0.2245 (0.2411) loss_cl: -0.3662 (-0.3667) time: 0.8674 data: 0.0003 max mem: 29859 [08:48:54.373055] Epoch: [26] [720/850] eta: 0:01:54 lr: 0.001611 loss: 0.1334 (0.1332) loss_rec_all: 0.1681 (0.1682) loss_rec_sfr: 0.2095 (0.2407) loss_cl: -0.3675 (-0.3667) time: 0.8683 data: 0.0003 max mem: 29859 [08:49:11.739432] Epoch: [26] [740/850] eta: 0:01:36 lr: 0.001612 loss: 0.1297 (0.1332) loss_rec_all: 0.1650 (0.1682) loss_rec_sfr: 0.1967 (0.2403) loss_cl: -0.3673 (-0.3667) time: 0.8682 data: 0.0003 max mem: 29859 [08:49:29.038299] Epoch: [26] [760/850] eta: 0:01:19 lr: 0.001614 loss: 0.1267 (0.1331) loss_rec_all: 0.1622 (0.1681) loss_rec_sfr: 0.2174 (0.2400) loss_cl: -0.3675 (-0.3667) time: 0.8649 data: 0.0002 max mem: 29859 [08:49:46.398238] Epoch: [26] [780/850] eta: 0:01:01 lr: 0.001615 loss: 0.1227 (0.1328) loss_rec_all: 0.1577 (0.1678) loss_rec_sfr: 0.2108 (0.2396) loss_cl: -0.3668 (-0.3667) time: 0.8679 data: 0.0003 max mem: 29859 [08:50:03.928417] Epoch: [26] [800/850] eta: 0:00:43 lr: 0.001616 loss: 0.1191 (0.1325) loss_rec_all: 0.1543 (0.1675) loss_rec_sfr: 0.1919 (0.2389) loss_cl: -0.3658 (-0.3667) time: 0.8763 data: 0.0003 max mem: 29859 [08:50:21.259937] Epoch: [26] [820/850] eta: 0:00:26 lr: 0.001618 loss: 0.1187 (0.1323) loss_rec_all: 0.1536 (0.1673) loss_rec_sfr: 0.2422 (0.2385) loss_cl: -0.3661 (-0.3667) time: 0.8665 data: 0.0004 max mem: 29859 [08:50:38.944202] Epoch: [26] [840/850] eta: 0:00:08 lr: 0.001619 loss: 0.1198 (0.1320) loss_rec_all: 0.1551 (0.1670) loss_rec_sfr: 0.2438 (0.2382) loss_cl: -0.3663 (-0.3667) time: 0.8841 data: 0.0010 max mem: 29859 [08:50:46.914933] Epoch: [26] [849/850] eta: 0:00:00 lr: 0.001620 loss: 0.1247 (0.1321) loss_rec_all: 0.1600 (0.1671) loss_rec_sfr: 0.1977 (0.2383) loss_cl: -0.3669 (-0.3667) time: 0.8904 data: 0.0011 max mem: 29859 [08:50:47.084457] Epoch: [26] Total time: 0:12:27 (0.8798 s / it) [08:50:47.127471] Averaged stats: lr: 0.001620 loss: 0.1247 (0.1320) loss_rec_all: 0.1600 (0.1670) loss_rec_sfr: 0.1977 (0.2365) loss_cl: -0.3669 (-0.3666) [08:50:47.139400] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [08:50:53.566615] Epoch: [27] [ 0/850] eta: 1:31:00 lr: 0.001620 loss: 0.1335 (0.1335) loss_rec_all: 0.1688 (0.1688) loss_rec_sfr: 0.2049 (0.2049) loss_cl: -0.3670 (-0.3670) time: 6.4244 data: 5.0420 max mem: 29859 [08:51:11.167519] Epoch: [27] [ 20/850] eta: 0:15:49 lr: 0.001621 loss: 0.1292 (0.1284) loss_rec_all: 0.1638 (0.1634) loss_rec_sfr: 0.2140 (0.2285) loss_cl: -0.3670 (-0.3669) time: 0.8800 data: 0.0005 max mem: 29859 [08:51:28.999324] Epoch: [27] [ 40/850] eta: 0:13:46 lr: 0.001623 loss: 0.1356 (0.1331) loss_rec_all: 0.1700 (0.1681) loss_rec_sfr: 0.2527 (0.2429) loss_cl: -0.3671 (-0.3669) time: 0.8915 data: 0.0005 max mem: 29859 [08:51:46.401886] Epoch: [27] [ 60/850] eta: 0:12:47 lr: 0.001624 loss: 0.1298 (0.1329) loss_rec_all: 0.1645 (0.1679) loss_rec_sfr: 0.2675 (0.2444) loss_cl: -0.3670 (-0.3669) time: 0.8701 data: 0.0002 max mem: 29859 [08:52:03.751150] Epoch: [27] [ 80/850] eta: 0:12:08 lr: 0.001626 loss: 0.1216 (0.1307) loss_rec_all: 0.1570 (0.1657) loss_rec_sfr: 0.2569 (0.2410) loss_cl: -0.3662 (-0.3667) time: 0.8674 data: 0.0003 max mem: 29859 [08:52:21.180762] Epoch: [27] [100/850] eta: 0:11:38 lr: 0.001627 loss: 0.1273 (0.1299) loss_rec_all: 0.1625 (0.1649) loss_rec_sfr: 0.1890 (0.2357) loss_cl: -0.3659 (-0.3666) time: 0.8713 data: 0.0004 max mem: 29859 [08:52:38.866350] Epoch: [27] [120/850] eta: 0:11:13 lr: 0.001628 loss: 0.1280 (0.1297) loss_rec_all: 0.1630 (0.1647) loss_rec_sfr: 0.2301 (0.2363) loss_cl: -0.3666 (-0.3666) time: 0.8841 data: 0.0005 max mem: 29859 [08:52:56.363696] Epoch: [27] [140/850] eta: 0:10:50 lr: 0.001630 loss: 0.1220 (0.1290) loss_rec_all: 0.1574 (0.1640) loss_rec_sfr: 0.1832 (0.2317) loss_cl: -0.3672 (-0.3667) time: 0.8748 data: 0.0005 max mem: 29859 [08:53:13.702965] Epoch: [27] [160/850] eta: 0:10:28 lr: 0.001631 loss: 0.1222 (0.1285) loss_rec_all: 0.1577 (0.1636) loss_rec_sfr: 0.2054 (0.2297) loss_cl: -0.3670 (-0.3667) time: 0.8669 data: 0.0003 max mem: 29859 [08:53:31.090616] Epoch: [27] [180/850] eta: 0:10:06 lr: 0.001632 loss: 0.1199 (0.1277) loss_rec_all: 0.1547 (0.1628) loss_rec_sfr: 0.2009 (0.2288) loss_cl: -0.3673 (-0.3668) time: 0.8693 data: 0.0004 max mem: 29859 [08:53:48.428824] Epoch: [27] [200/850] eta: 0:09:46 lr: 0.001634 loss: 0.1363 (0.1287) loss_rec_all: 0.1705 (0.1637) loss_rec_sfr: 0.2536 (0.2317) loss_cl: -0.3663 (-0.3667) time: 0.8669 data: 0.0003 max mem: 29859 [08:54:05.822329] Epoch: [27] [220/850] eta: 0:09:26 lr: 0.001635 loss: 0.1312 (0.1293) loss_rec_all: 0.1664 (0.1644) loss_rec_sfr: 0.2450 (0.2335) loss_cl: -0.3664 (-0.3666) time: 0.8696 data: 0.0003 max mem: 29859 [08:54:23.645364] Epoch: [27] [240/850] eta: 0:09:07 lr: 0.001637 loss: 0.1268 (0.1294) loss_rec_all: 0.1621 (0.1645) loss_rec_sfr: 0.2007 (0.2317) loss_cl: -0.3663 (-0.3666) time: 0.8910 data: 0.0007 max mem: 29859 [08:54:41.134303] Epoch: [27] [260/850] eta: 0:08:48 lr: 0.001638 loss: 0.1244 (0.1291) loss_rec_all: 0.1597 (0.1641) loss_rec_sfr: 0.2057 (0.2317) loss_cl: -0.3666 (-0.3666) time: 0.8743 data: 0.0004 max mem: 29859 [08:54:58.449723] Epoch: [27] [280/850] eta: 0:08:29 lr: 0.001640 loss: 0.1226 (0.1287) loss_rec_all: 0.1574 (0.1637) loss_rec_sfr: 0.2134 (0.2309) loss_cl: -0.3670 (-0.3666) time: 0.8657 data: 0.0003 max mem: 29859 [08:55:15.757869] Epoch: [27] [300/850] eta: 0:08:10 lr: 0.001641 loss: 0.1246 (0.1285) loss_rec_all: 0.1597 (0.1636) loss_rec_sfr: 0.2354 (0.2313) loss_cl: -0.3664 (-0.3666) time: 0.8653 data: 0.0003 max mem: 29859 [08:55:33.080000] Epoch: [27] [320/850] eta: 0:07:52 lr: 0.001643 loss: 0.1214 (0.1282) loss_rec_all: 0.1564 (0.1633) loss_rec_sfr: 0.1893 (0.2299) loss_cl: -0.3671 (-0.3667) time: 0.8660 data: 0.0003 max mem: 29859 [08:55:50.280180] Epoch: [27] [340/850] eta: 0:07:33 lr: 0.001644 loss: 0.1307 (0.1287) loss_rec_all: 0.1660 (0.1637) loss_rec_sfr: 0.2745 (0.2309) loss_cl: -0.3674 (-0.3667) time: 0.8600 data: 0.0002 max mem: 29859 [08:56:07.728111] Epoch: [27] [360/850] eta: 0:07:15 lr: 0.001645 loss: 0.1250 (0.1285) loss_rec_all: 0.1603 (0.1635) loss_rec_sfr: 0.2072 (0.2303) loss_cl: -0.3666 (-0.3667) time: 0.8720 data: 0.0004 max mem: 29859 [08:56:25.189037] Epoch: [27] [380/850] eta: 0:06:56 lr: 0.001647 loss: 0.1215 (0.1283) loss_rec_all: 0.1567 (0.1634) loss_rec_sfr: 0.2171 (0.2304) loss_cl: -0.3661 (-0.3667) time: 0.8730 data: 0.0004 max mem: 29859 [08:56:42.521801] Epoch: [27] [400/850] eta: 0:06:38 lr: 0.001648 loss: 0.1195 (0.1281) loss_rec_all: 0.1547 (0.1631) loss_rec_sfr: 0.2475 (0.2307) loss_cl: -0.3671 (-0.3667) time: 0.8665 data: 0.0003 max mem: 29859 [08:56:59.964431] Epoch: [27] [420/850] eta: 0:06:20 lr: 0.001649 loss: 0.1200 (0.1279) loss_rec_all: 0.1548 (0.1629) loss_rec_sfr: 0.2418 (0.2305) loss_cl: -0.3671 (-0.3667) time: 0.8720 data: 0.0004 max mem: 29859 [08:57:17.655519] Epoch: [27] [440/850] eta: 0:06:03 lr: 0.001651 loss: 0.1244 (0.1277) loss_rec_all: 0.1593 (0.1628) loss_rec_sfr: 0.2388 (0.2306) loss_cl: -0.3672 (-0.3667) time: 0.8845 data: 0.0005 max mem: 29859 [08:57:35.067605] Epoch: [27] [460/850] eta: 0:05:45 lr: 0.001652 loss: 0.1238 (0.1277) loss_rec_all: 0.1589 (0.1627) loss_rec_sfr: 0.2609 (0.2312) loss_cl: -0.3666 (-0.3667) time: 0.8705 data: 0.0004 max mem: 29859 [08:57:52.809966] Epoch: [27] [480/850] eta: 0:05:27 lr: 0.001654 loss: 0.1254 (0.1276) loss_rec_all: 0.1604 (0.1626) loss_rec_sfr: 0.2379 (0.2312) loss_cl: -0.3672 (-0.3667) time: 0.8870 data: 0.0005 max mem: 29859 [08:58:10.183242] Epoch: [27] [500/850] eta: 0:05:09 lr: 0.001655 loss: 0.1312 (0.1277) loss_rec_all: 0.1660 (0.1628) loss_rec_sfr: 0.2591 (0.2320) loss_cl: -0.3663 (-0.3667) time: 0.8686 data: 0.0003 max mem: 29859 [08:58:27.451425] Epoch: [27] [520/850] eta: 0:04:51 lr: 0.001657 loss: 0.1265 (0.1277) loss_rec_all: 0.1614 (0.1628) loss_rec_sfr: 0.2017 (0.2315) loss_cl: -0.3665 (-0.3667) time: 0.8633 data: 0.0002 max mem: 29859 [08:58:44.737251] Epoch: [27] [540/850] eta: 0:04:33 lr: 0.001658 loss: 0.1237 (0.1277) loss_rec_all: 0.1590 (0.1627) loss_rec_sfr: 0.2255 (0.2316) loss_cl: -0.3664 (-0.3667) time: 0.8642 data: 0.0003 max mem: 29859 [08:59:02.101482] Epoch: [27] [560/850] eta: 0:04:15 lr: 0.001660 loss: 0.1191 (0.1275) loss_rec_all: 0.1542 (0.1626) loss_rec_sfr: 0.2041 (0.2311) loss_cl: -0.3663 (-0.3667) time: 0.8682 data: 0.0003 max mem: 29859 [08:59:19.328784] Epoch: [27] [580/850] eta: 0:03:57 lr: 0.001661 loss: 0.1159 (0.1273) loss_rec_all: 0.1513 (0.1623) loss_rec_sfr: 0.2400 (0.2308) loss_cl: -0.3670 (-0.3667) time: 0.8613 data: 0.0002 max mem: 29859 [08:59:36.645503] Epoch: [27] [600/850] eta: 0:03:40 lr: 0.001662 loss: 0.1157 (0.1269) loss_rec_all: 0.1509 (0.1620) loss_rec_sfr: 0.2073 (0.2300) loss_cl: -0.3671 (-0.3667) time: 0.8658 data: 0.0002 max mem: 29859 [08:59:54.060179] Epoch: [27] [620/850] eta: 0:03:22 lr: 0.001663 loss: 0.1158 (0.1266) loss_rec_all: 0.1511 (0.1617) loss_rec_sfr: 0.1992 (0.2292) loss_cl: -0.3666 (-0.3667) time: 0.8707 data: 0.0003 max mem: 29859 [09:00:11.348957] Epoch: [27] [640/850] eta: 0:03:04 lr: 0.001665 loss: 0.1208 (0.1265) loss_rec_all: 0.1560 (0.1615) loss_rec_sfr: 0.2031 (0.2290) loss_cl: -0.3679 (-0.3667) time: 0.8644 data: 0.0003 max mem: 29859 [09:00:28.600405] Epoch: [27] [660/850] eta: 0:02:47 lr: 0.001666 loss: 0.1232 (0.1265) loss_rec_all: 0.1585 (0.1616) loss_rec_sfr: 0.2424 (0.2291) loss_cl: -0.3674 (-0.3667) time: 0.8625 data: 0.0003 max mem: 29859 [09:00:46.064692] Epoch: [27] [680/850] eta: 0:02:29 lr: 0.001668 loss: 0.1229 (0.1264) loss_rec_all: 0.1584 (0.1615) loss_rec_sfr: 0.2081 (0.2291) loss_cl: -0.3673 (-0.3668) time: 0.8731 data: 0.0004 max mem: 29859 [09:01:03.336183] Epoch: [27] [700/850] eta: 0:02:11 lr: 0.001669 loss: 0.1285 (0.1265) loss_rec_all: 0.1639 (0.1616) loss_rec_sfr: 0.2236 (0.2296) loss_cl: -0.3666 (-0.3667) time: 0.8635 data: 0.0002 max mem: 29859 [09:01:20.941140] Epoch: [27] [720/850] eta: 0:01:54 lr: 0.001671 loss: 0.1238 (0.1265) loss_rec_all: 0.1589 (0.1616) loss_rec_sfr: 0.2376 (0.2299) loss_cl: -0.3664 (-0.3667) time: 0.8802 data: 0.0004 max mem: 29859 [09:01:39.067499] Epoch: [27] [740/850] eta: 0:01:36 lr: 0.001672 loss: 0.1244 (0.1265) loss_rec_all: 0.1594 (0.1616) loss_rec_sfr: 0.2399 (0.2300) loss_cl: -0.3663 (-0.3667) time: 0.9062 data: 0.0008 max mem: 29859 [09:01:56.487503] Epoch: [27] [760/850] eta: 0:01:19 lr: 0.001674 loss: 0.1219 (0.1264) loss_rec_all: 0.1569 (0.1615) loss_rec_sfr: 0.2714 (0.2307) loss_cl: -0.3662 (-0.3667) time: 0.8709 data: 0.0003 max mem: 29859 [09:02:13.900360] Epoch: [27] [780/850] eta: 0:01:01 lr: 0.001675 loss: 0.1251 (0.1264) loss_rec_all: 0.1602 (0.1615) loss_rec_sfr: 0.2243 (0.2309) loss_cl: -0.3669 (-0.3667) time: 0.8706 data: 0.0004 max mem: 29859 [09:02:31.641744] Epoch: [27] [800/850] eta: 0:00:43 lr: 0.001676 loss: 0.1184 (0.1262) loss_rec_all: 0.1539 (0.1613) loss_rec_sfr: 0.2408 (0.2307) loss_cl: -0.3667 (-0.3667) time: 0.8870 data: 0.0005 max mem: 29859 [09:02:49.162362] Epoch: [27] [820/850] eta: 0:00:26 lr: 0.001678 loss: 0.1233 (0.1264) loss_rec_all: 0.1589 (0.1614) loss_rec_sfr: 0.1715 (0.2301) loss_cl: -0.3671 (-0.3667) time: 0.8759 data: 0.0003 max mem: 29859 [09:03:06.762856] Epoch: [27] [840/850] eta: 0:00:08 lr: 0.001679 loss: 0.1400 (0.1269) loss_rec_all: 0.1745 (0.1619) loss_rec_sfr: 0.2678 (0.2307) loss_cl: -0.3667 (-0.3667) time: 0.8800 data: 0.0029 max mem: 29859 [09:03:14.584177] Epoch: [27] [849/850] eta: 0:00:00 lr: 0.001680 loss: 0.1374 (0.1270) loss_rec_all: 0.1723 (0.1620) loss_rec_sfr: 0.2378 (0.2308) loss_cl: -0.3661 (-0.3667) time: 0.8742 data: 0.0028 max mem: 29859 [09:03:14.779080] Epoch: [27] Total time: 0:12:27 (0.8796 s / it) [09:03:14.795592] Averaged stats: lr: 0.001680 loss: 0.1374 (0.1273) loss_rec_all: 0.1723 (0.1624) loss_rec_sfr: 0.2378 (0.2321) loss_cl: -0.3661 (-0.3667) [09:03:14.816271] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [09:03:19.922839] Epoch: [28] [ 0/850] eta: 1:12:19 lr: 0.001680 loss: 0.1350 (0.1350) loss_rec_all: 0.1701 (0.1701) loss_rec_sfr: 0.2173 (0.2173) loss_cl: -0.3657 (-0.3657) time: 5.1049 data: 4.2504 max mem: 29859 [09:03:37.139666] Epoch: [28] [ 20/850] eta: 0:14:42 lr: 0.001681 loss: 0.1311 (0.1339) loss_rec_all: 0.1658 (0.1688) loss_rec_sfr: 0.2159 (0.2343) loss_cl: -0.3656 (-0.3657) time: 0.8608 data: 0.0003 max mem: 29859 [09:03:54.439143] Epoch: [28] [ 40/850] eta: 0:13:02 lr: 0.001683 loss: 0.1269 (0.1311) loss_rec_all: 0.1621 (0.1661) loss_rec_sfr: 0.2162 (0.2344) loss_cl: -0.3671 (-0.3664) time: 0.8649 data: 0.0002 max mem: 29859 [09:04:11.727748] Epoch: [28] [ 60/850] eta: 0:12:16 lr: 0.001684 loss: 0.1306 (0.1323) loss_rec_all: 0.1653 (0.1673) loss_rec_sfr: 0.2648 (0.2441) loss_cl: -0.3685 (-0.3671) time: 0.8643 data: 0.0003 max mem: 29859 [09:04:29.116334] Epoch: [28] [ 80/850] eta: 0:11:46 lr: 0.001686 loss: 0.1225 (0.1309) loss_rec_all: 0.1575 (0.1659) loss_rec_sfr: 0.1980 (0.2376) loss_cl: -0.3667 (-0.3670) time: 0.8694 data: 0.0003 max mem: 29859 [09:04:46.552222] Epoch: [28] [100/850] eta: 0:11:21 lr: 0.001687 loss: 0.1204 (0.1299) loss_rec_all: 0.1556 (0.1649) loss_rec_sfr: 0.2465 (0.2359) loss_cl: -0.3653 (-0.3666) time: 0.8717 data: 0.0003 max mem: 29859 [09:05:04.079472] Epoch: [28] [120/850] eta: 0:10:59 lr: 0.001688 loss: 0.1199 (0.1286) loss_rec_all: 0.1552 (0.1636) loss_rec_sfr: 0.1965 (0.2317) loss_cl: -0.3662 (-0.3666) time: 0.8763 data: 0.0002 max mem: 29859 [09:05:21.576235] Epoch: [28] [140/850] eta: 0:10:38 lr: 0.001690 loss: 0.1192 (0.1277) loss_rec_all: 0.1542 (0.1627) loss_rec_sfr: 0.2484 (0.2327) loss_cl: -0.3663 (-0.3665) time: 0.8747 data: 0.0003 max mem: 29859 [09:05:39.330284] Epoch: [28] [160/850] eta: 0:10:19 lr: 0.001691 loss: 0.1175 (0.1268) loss_rec_all: 0.1525 (0.1618) loss_rec_sfr: 0.2391 (0.2321) loss_cl: -0.3668 (-0.3665) time: 0.8876 data: 0.0005 max mem: 29859 [09:05:56.580307] Epoch: [28] [180/850] eta: 0:09:58 lr: 0.001692 loss: 0.1186 (0.1261) loss_rec_all: 0.1535 (0.1612) loss_rec_sfr: 0.2370 (0.2308) loss_cl: -0.3665 (-0.3665) time: 0.8624 data: 0.0002 max mem: 29859 [09:06:13.944072] Epoch: [28] [200/850] eta: 0:09:39 lr: 0.001694 loss: 0.1146 (0.1250) loss_rec_all: 0.1494 (0.1601) loss_rec_sfr: 0.2505 (0.2302) loss_cl: -0.3668 (-0.3666) time: 0.8681 data: 0.0002 max mem: 29859 [09:06:31.174667] Epoch: [28] [220/850] eta: 0:09:19 lr: 0.001695 loss: 0.1235 (0.1252) loss_rec_all: 0.1586 (0.1602) loss_rec_sfr: 0.2344 (0.2301) loss_cl: -0.3669 (-0.3666) time: 0.8615 data: 0.0002 max mem: 29859 [09:06:48.461393] Epoch: [28] [240/850] eta: 0:09:00 lr: 0.001697 loss: 0.1205 (0.1251) loss_rec_all: 0.1553 (0.1601) loss_rec_sfr: 0.2543 (0.2306) loss_cl: -0.3669 (-0.3666) time: 0.8643 data: 0.0003 max mem: 29859 [09:07:05.798480] Epoch: [28] [260/850] eta: 0:08:42 lr: 0.001698 loss: 0.1202 (0.1249) loss_rec_all: 0.1557 (0.1599) loss_rec_sfr: 0.2017 (0.2294) loss_cl: -0.3665 (-0.3666) time: 0.8668 data: 0.0003 max mem: 29859 [09:07:23.107000] Epoch: [28] [280/850] eta: 0:08:23 lr: 0.001700 loss: 0.1176 (0.1245) loss_rec_all: 0.1526 (0.1596) loss_rec_sfr: 0.2380 (0.2288) loss_cl: -0.3680 (-0.3667) time: 0.8654 data: 0.0003 max mem: 29859 [09:07:40.338668] Epoch: [28] [300/850] eta: 0:08:05 lr: 0.001701 loss: 0.1176 (0.1243) loss_rec_all: 0.1528 (0.1593) loss_rec_sfr: 0.2064 (0.2278) loss_cl: -0.3664 (-0.3667) time: 0.8615 data: 0.0002 max mem: 29859 [09:07:57.752783] Epoch: [28] [320/850] eta: 0:07:47 lr: 0.001703 loss: 0.1185 (0.1241) loss_rec_all: 0.1533 (0.1592) loss_rec_sfr: 0.2381 (0.2284) loss_cl: -0.3648 (-0.3666) time: 0.8706 data: 0.0003 max mem: 29859 [09:08:15.037611] Epoch: [28] [340/850] eta: 0:07:28 lr: 0.001704 loss: 0.1164 (0.1238) loss_rec_all: 0.1513 (0.1589) loss_rec_sfr: 0.2395 (0.2284) loss_cl: -0.3672 (-0.3666) time: 0.8642 data: 0.0002 max mem: 29859 [09:08:32.366126] Epoch: [28] [360/850] eta: 0:07:10 lr: 0.001705 loss: 0.1162 (0.1236) loss_rec_all: 0.1516 (0.1586) loss_rec_sfr: 0.2271 (0.2280) loss_cl: -0.3674 (-0.3666) time: 0.8664 data: 0.0003 max mem: 29859 [09:08:49.802127] Epoch: [28] [380/850] eta: 0:06:53 lr: 0.001707 loss: 0.1163 (0.1233) loss_rec_all: 0.1517 (0.1584) loss_rec_sfr: 0.1863 (0.2268) loss_cl: -0.3675 (-0.3667) time: 0.8717 data: 0.0004 max mem: 29859 [09:09:07.157094] Epoch: [28] [400/850] eta: 0:06:35 lr: 0.001708 loss: 0.1200 (0.1234) loss_rec_all: 0.1547 (0.1585) loss_rec_sfr: 0.2379 (0.2270) loss_cl: -0.3673 (-0.3667) time: 0.8677 data: 0.0003 max mem: 29859 [09:09:24.411289] Epoch: [28] [420/850] eta: 0:06:17 lr: 0.001709 loss: 0.1215 (0.1234) loss_rec_all: 0.1569 (0.1585) loss_rec_sfr: 0.2563 (0.2274) loss_cl: -0.3661 (-0.3667) time: 0.8627 data: 0.0002 max mem: 29859 [09:09:41.913157] Epoch: [28] [440/850] eta: 0:05:59 lr: 0.001711 loss: 0.1175 (0.1232) loss_rec_all: 0.1522 (0.1583) loss_rec_sfr: 0.2069 (0.2269) loss_cl: -0.3666 (-0.3667) time: 0.8750 data: 0.0004 max mem: 29859 [09:09:59.309980] Epoch: [28] [460/850] eta: 0:05:42 lr: 0.001712 loss: 0.1226 (0.1234) loss_rec_all: 0.1580 (0.1585) loss_rec_sfr: 0.2506 (0.2272) loss_cl: -0.3667 (-0.3667) time: 0.8698 data: 0.0003 max mem: 29859 [09:10:16.744102] Epoch: [28] [480/850] eta: 0:05:24 lr: 0.001714 loss: 0.1212 (0.1234) loss_rec_all: 0.1567 (0.1585) loss_rec_sfr: 0.1995 (0.2268) loss_cl: -0.3666 (-0.3667) time: 0.8717 data: 0.0003 max mem: 29859 [09:10:34.346723] Epoch: [28] [500/850] eta: 0:05:07 lr: 0.001715 loss: 0.1209 (0.1234) loss_rec_all: 0.1555 (0.1584) loss_rec_sfr: 0.2399 (0.2272) loss_cl: -0.3665 (-0.3667) time: 0.8800 data: 0.0005 max mem: 29859 [09:10:51.768545] Epoch: [28] [520/850] eta: 0:04:49 lr: 0.001717 loss: 0.1238 (0.1234) loss_rec_all: 0.1588 (0.1585) loss_rec_sfr: 0.2017 (0.2268) loss_cl: -0.3669 (-0.3667) time: 0.8710 data: 0.0003 max mem: 29859 [09:11:09.013325] Epoch: [28] [540/850] eta: 0:04:31 lr: 0.001718 loss: 0.1173 (0.1232) loss_rec_all: 0.1522 (0.1583) loss_rec_sfr: 0.1958 (0.2265) loss_cl: -0.3661 (-0.3667) time: 0.8622 data: 0.0002 max mem: 29859 [09:11:26.637110] Epoch: [28] [560/850] eta: 0:04:14 lr: 0.001720 loss: 0.1151 (0.1230) loss_rec_all: 0.1505 (0.1581) loss_rec_sfr: 0.2331 (0.2261) loss_cl: -0.3668 (-0.3667) time: 0.8811 data: 0.0005 max mem: 29859 [09:11:44.043740] Epoch: [28] [580/850] eta: 0:03:56 lr: 0.001721 loss: 0.1164 (0.1229) loss_rec_all: 0.1512 (0.1579) loss_rec_sfr: 0.2291 (0.2257) loss_cl: -0.3671 (-0.3667) time: 0.8702 data: 0.0003 max mem: 29859 [09:12:01.397146] Epoch: [28] [600/850] eta: 0:03:39 lr: 0.001722 loss: 0.1149 (0.1226) loss_rec_all: 0.1496 (0.1577) loss_rec_sfr: 0.2278 (0.2258) loss_cl: -0.3665 (-0.3667) time: 0.8676 data: 0.0003 max mem: 29859 [09:12:18.789215] Epoch: [28] [620/850] eta: 0:03:21 lr: 0.001723 loss: 0.1149 (0.1225) loss_rec_all: 0.1500 (0.1576) loss_rec_sfr: 0.1908 (0.2252) loss_cl: -0.3670 (-0.3667) time: 0.8695 data: 0.0003 max mem: 29859 [09:12:36.089495] Epoch: [28] [640/850] eta: 0:03:03 lr: 0.001725 loss: 0.1342 (0.1228) loss_rec_all: 0.1687 (0.1579) loss_rec_sfr: 0.2566 (0.2265) loss_cl: -0.3671 (-0.3667) time: 0.8650 data: 0.0002 max mem: 29859 [09:12:53.291386] Epoch: [28] [660/850] eta: 0:02:46 lr: 0.001726 loss: 0.1224 (0.1228) loss_rec_all: 0.1574 (0.1579) loss_rec_sfr: 0.2171 (0.2267) loss_cl: -0.3671 (-0.3667) time: 0.8600 data: 0.0002 max mem: 29859 [09:13:10.588122] Epoch: [28] [680/850] eta: 0:02:28 lr: 0.001728 loss: 0.1204 (0.1228) loss_rec_all: 0.1560 (0.1579) loss_rec_sfr: 0.2379 (0.2268) loss_cl: -0.3660 (-0.3667) time: 0.8648 data: 0.0003 max mem: 29859 [09:13:27.817616] Epoch: [28] [700/850] eta: 0:02:11 lr: 0.001729 loss: 0.1233 (0.1229) loss_rec_all: 0.1580 (0.1580) loss_rec_sfr: 0.2548 (0.2271) loss_cl: -0.3655 (-0.3666) time: 0.8614 data: 0.0002 max mem: 29859 [09:13:45.117144] Epoch: [28] [720/850] eta: 0:01:53 lr: 0.001731 loss: 0.1199 (0.1229) loss_rec_all: 0.1547 (0.1579) loss_rec_sfr: 0.1950 (0.2266) loss_cl: -0.3662 (-0.3666) time: 0.8649 data: 0.0002 max mem: 29859 [09:14:02.347637] Epoch: [28] [740/850] eta: 0:01:36 lr: 0.001732 loss: 0.1173 (0.1228) loss_rec_all: 0.1524 (0.1578) loss_rec_sfr: 0.2436 (0.2266) loss_cl: -0.3676 (-0.3666) time: 0.8615 data: 0.0002 max mem: 29859 [09:14:19.647970] Epoch: [28] [760/850] eta: 0:01:18 lr: 0.001734 loss: 0.1109 (0.1226) loss_rec_all: 0.1458 (0.1577) loss_rec_sfr: 0.2381 (0.2263) loss_cl: -0.3666 (-0.3666) time: 0.8649 data: 0.0002 max mem: 29859 [09:14:36.918305] Epoch: [28] [780/850] eta: 0:01:01 lr: 0.001735 loss: 0.1113 (0.1223) loss_rec_all: 0.1466 (0.1574) loss_rec_sfr: 0.1960 (0.2259) loss_cl: -0.3657 (-0.3666) time: 0.8635 data: 0.0003 max mem: 29859 [09:14:54.235126] Epoch: [28] [800/850] eta: 0:00:43 lr: 0.001736 loss: 0.1169 (0.1222) loss_rec_all: 0.1515 (0.1573) loss_rec_sfr: 0.1766 (0.2259) loss_cl: -0.3666 (-0.3666) time: 0.8658 data: 0.0002 max mem: 29859 [09:15:11.558033] Epoch: [28] [820/850] eta: 0:00:26 lr: 0.001738 loss: 0.1264 (0.1224) loss_rec_all: 0.1616 (0.1575) loss_rec_sfr: 0.2284 (0.2260) loss_cl: -0.3678 (-0.3666) time: 0.8661 data: 0.0003 max mem: 29859 [09:15:28.922574] Epoch: [28] [840/850] eta: 0:00:08 lr: 0.001739 loss: 0.1208 (0.1225) loss_rec_all: 0.1559 (0.1575) loss_rec_sfr: 0.2364 (0.2262) loss_cl: -0.3669 (-0.3666) time: 0.8682 data: 0.0007 max mem: 29859 [09:15:36.665080] Epoch: [28] [849/850] eta: 0:00:00 lr: 0.001740 loss: 0.1177 (0.1224) loss_rec_all: 0.1524 (0.1575) loss_rec_sfr: 0.2364 (0.2260) loss_cl: -0.3663 (-0.3666) time: 0.8666 data: 0.0006 max mem: 29859 [09:15:36.842294] Epoch: [28] Total time: 0:12:22 (0.8730 s / it) [09:15:36.848308] Averaged stats: lr: 0.001740 loss: 0.1177 (0.1222) loss_rec_all: 0.1524 (0.1573) loss_rec_sfr: 0.2364 (0.2247) loss_cl: -0.3663 (-0.3666) [09:15:36.863239] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [09:15:40.926668] Epoch: [29] [ 0/850] eta: 0:57:32 lr: 0.001740 loss: 0.1186 (0.1186) loss_rec_all: 0.1540 (0.1540) loss_rec_sfr: 0.1728 (0.1728) loss_cl: -0.3659 (-0.3659) time: 4.0621 data: 2.4869 max mem: 29859 [09:15:58.388550] Epoch: [29] [ 20/850] eta: 0:14:10 lr: 0.001741 loss: 0.1195 (0.1227) loss_rec_all: 0.1547 (0.1577) loss_rec_sfr: 0.2283 (0.2271) loss_cl: -0.3660 (-0.3661) time: 0.8729 data: 0.0060 max mem: 29859 [09:16:15.807630] Epoch: [29] [ 40/850] eta: 0:12:49 lr: 0.001743 loss: 0.1211 (0.1253) loss_rec_all: 0.1560 (0.1603) loss_rec_sfr: 0.2478 (0.2284) loss_cl: -0.3665 (-0.3663) time: 0.8709 data: 0.0005 max mem: 29859 [09:16:33.328966] Epoch: [29] [ 60/850] eta: 0:12:11 lr: 0.001744 loss: 0.1146 (0.1222) loss_rec_all: 0.1500 (0.1573) loss_rec_sfr: 0.1938 (0.2223) loss_cl: -0.3674 (-0.3666) time: 0.8760 data: 0.0004 max mem: 29859 [09:16:50.642349] Epoch: [29] [ 80/850] eta: 0:11:41 lr: 0.001746 loss: 0.1132 (0.1204) loss_rec_all: 0.1485 (0.1555) loss_rec_sfr: 0.2311 (0.2238) loss_cl: -0.3679 (-0.3669) time: 0.8656 data: 0.0003 max mem: 29859 [09:17:07.921939] Epoch: [29] [100/850] eta: 0:11:16 lr: 0.001747 loss: 0.1126 (0.1190) loss_rec_all: 0.1473 (0.1542) loss_rec_sfr: 0.2247 (0.2227) loss_cl: -0.3665 (-0.3668) time: 0.8639 data: 0.0002 max mem: 29859 [09:17:25.562269] Epoch: [29] [120/850] eta: 0:10:55 lr: 0.001748 loss: 0.1195 (0.1193) loss_rec_all: 0.1544 (0.1544) loss_rec_sfr: 0.1882 (0.2216) loss_cl: -0.3670 (-0.3668) time: 0.8819 data: 0.0004 max mem: 29859 [09:17:42.949884] Epoch: [29] [140/850] eta: 0:10:34 lr: 0.001750 loss: 0.1148 (0.1193) loss_rec_all: 0.1504 (0.1545) loss_rec_sfr: 0.2309 (0.2210) loss_cl: -0.3669 (-0.3668) time: 0.8693 data: 0.0005 max mem: 29859 [09:18:00.401475] Epoch: [29] [160/850] eta: 0:10:15 lr: 0.001751 loss: 0.1190 (0.1196) loss_rec_all: 0.1543 (0.1547) loss_rec_sfr: 0.2238 (0.2217) loss_cl: -0.3666 (-0.3668) time: 0.8725 data: 0.0002 max mem: 29859 [09:18:17.629879] Epoch: [29] [180/850] eta: 0:09:55 lr: 0.001752 loss: 0.1205 (0.1197) loss_rec_all: 0.1558 (0.1548) loss_rec_sfr: 0.2064 (0.2218) loss_cl: -0.3669 (-0.3668) time: 0.8614 data: 0.0002 max mem: 29859 [09:18:35.100455] Epoch: [29] [200/850] eta: 0:09:36 lr: 0.001754 loss: 0.1166 (0.1195) loss_rec_all: 0.1510 (0.1546) loss_rec_sfr: 0.2022 (0.2204) loss_cl: -0.3664 (-0.3667) time: 0.8735 data: 0.0003 max mem: 29859 [09:18:52.399401] Epoch: [29] [220/850] eta: 0:09:17 lr: 0.001755 loss: 0.1165 (0.1192) loss_rec_all: 0.1515 (0.1543) loss_rec_sfr: 0.1911 (0.2197) loss_cl: -0.3668 (-0.3667) time: 0.8649 data: 0.0003 max mem: 29859 [09:19:09.871771] Epoch: [29] [240/850] eta: 0:08:59 lr: 0.001757 loss: 0.1140 (0.1190) loss_rec_all: 0.1490 (0.1541) loss_rec_sfr: 0.2025 (0.2193) loss_cl: -0.3678 (-0.3668) time: 0.8735 data: 0.0003 max mem: 29859 [09:19:27.281356] Epoch: [29] [260/850] eta: 0:08:40 lr: 0.001758 loss: 0.1156 (0.1187) loss_rec_all: 0.1507 (0.1538) loss_rec_sfr: 0.2426 (0.2201) loss_cl: -0.3665 (-0.3668) time: 0.8704 data: 0.0004 max mem: 29859 [09:19:44.671640] Epoch: [29] [280/850] eta: 0:08:22 lr: 0.001760 loss: 0.1137 (0.1185) loss_rec_all: 0.1493 (0.1536) loss_rec_sfr: 0.2015 (0.2199) loss_cl: -0.3663 (-0.3668) time: 0.8695 data: 0.0002 max mem: 29859 [09:20:02.153067] Epoch: [29] [300/850] eta: 0:08:04 lr: 0.001761 loss: 0.1137 (0.1183) loss_rec_all: 0.1492 (0.1534) loss_rec_sfr: 0.1769 (0.2181) loss_cl: -0.3658 (-0.3667) time: 0.8740 data: 0.0004 max mem: 29859 [09:20:19.615174] Epoch: [29] [320/850] eta: 0:07:46 lr: 0.001763 loss: 0.1195 (0.1185) loss_rec_all: 0.1548 (0.1536) loss_rec_sfr: 0.1883 (0.2182) loss_cl: -0.3670 (-0.3667) time: 0.8730 data: 0.0004 max mem: 29859 [09:20:37.340839] Epoch: [29] [340/850] eta: 0:07:29 lr: 0.001764 loss: 0.1152 (0.1184) loss_rec_all: 0.1503 (0.1536) loss_rec_sfr: 0.2375 (0.2186) loss_cl: -0.3674 (-0.3667) time: 0.8861 data: 0.0007 max mem: 29859 [09:20:55.071922] Epoch: [29] [360/850] eta: 0:07:11 lr: 0.001765 loss: 0.1164 (0.1185) loss_rec_all: 0.1516 (0.1536) loss_rec_sfr: 0.1752 (0.2180) loss_cl: -0.3668 (-0.3668) time: 0.8865 data: 0.0006 max mem: 29859 [09:21:12.268715] Epoch: [29] [380/850] eta: 0:06:53 lr: 0.001767 loss: 0.1245 (0.1190) loss_rec_all: 0.1592 (0.1542) loss_rec_sfr: 0.2588 (0.2192) loss_cl: -0.3667 (-0.3667) time: 0.8598 data: 0.0002 max mem: 29859 [09:21:29.584970] Epoch: [29] [400/850] eta: 0:06:35 lr: 0.001768 loss: 0.1250 (0.1194) loss_rec_all: 0.1598 (0.1546) loss_rec_sfr: 0.2025 (0.2195) loss_cl: -0.3675 (-0.3668) time: 0.8657 data: 0.0002 max mem: 29859 [09:21:46.907453] Epoch: [29] [420/850] eta: 0:06:17 lr: 0.001769 loss: 0.1203 (0.1197) loss_rec_all: 0.1552 (0.1548) loss_rec_sfr: 0.2503 (0.2203) loss_cl: -0.3673 (-0.3668) time: 0.8661 data: 0.0003 max mem: 29859 [09:22:04.308565] Epoch: [29] [440/850] eta: 0:06:00 lr: 0.001771 loss: 0.1165 (0.1197) loss_rec_all: 0.1519 (0.1548) loss_rec_sfr: 0.2438 (0.2208) loss_cl: -0.3662 (-0.3667) time: 0.8700 data: 0.0003 max mem: 29859 [09:22:21.636826] Epoch: [29] [460/850] eta: 0:05:42 lr: 0.001772 loss: 0.1132 (0.1195) loss_rec_all: 0.1484 (0.1546) loss_rec_sfr: 0.2229 (0.2207) loss_cl: -0.3661 (-0.3667) time: 0.8663 data: 0.0002 max mem: 29859 [09:22:39.150645] Epoch: [29] [480/850] eta: 0:05:24 lr: 0.001774 loss: 0.1104 (0.1193) loss_rec_all: 0.1452 (0.1544) loss_rec_sfr: 0.1831 (0.2200) loss_cl: -0.3661 (-0.3667) time: 0.8756 data: 0.0004 max mem: 29859 [09:22:56.412771] Epoch: [29] [500/850] eta: 0:05:07 lr: 0.001775 loss: 0.1102 (0.1189) loss_rec_all: 0.1457 (0.1541) loss_rec_sfr: 0.1687 (0.2189) loss_cl: -0.3674 (-0.3667) time: 0.8630 data: 0.0003 max mem: 29859 [09:23:13.690427] Epoch: [29] [520/850] eta: 0:04:49 lr: 0.001777 loss: 0.1267 (0.1193) loss_rec_all: 0.1619 (0.1545) loss_rec_sfr: 0.2526 (0.2203) loss_cl: -0.3675 (-0.3668) time: 0.8638 data: 0.0003 max mem: 29859 [09:23:31.089930] Epoch: [29] [540/850] eta: 0:04:31 lr: 0.001778 loss: 0.1186 (0.1195) loss_rec_all: 0.1540 (0.1546) loss_rec_sfr: 0.2297 (0.2204) loss_cl: -0.3676 (-0.3668) time: 0.8699 data: 0.0004 max mem: 29859 [09:23:48.505190] Epoch: [29] [560/850] eta: 0:04:14 lr: 0.001780 loss: 0.1153 (0.1194) loss_rec_all: 0.1501 (0.1545) loss_rec_sfr: 0.2207 (0.2205) loss_cl: -0.3655 (-0.3667) time: 0.8707 data: 0.0003 max mem: 29859 [09:24:05.912072] Epoch: [29] [580/850] eta: 0:03:56 lr: 0.001781 loss: 0.1128 (0.1193) loss_rec_all: 0.1477 (0.1544) loss_rec_sfr: 0.2518 (0.2211) loss_cl: -0.3647 (-0.3667) time: 0.8702 data: 0.0004 max mem: 29859 [09:24:23.262907] Epoch: [29] [600/850] eta: 0:03:38 lr: 0.001782 loss: 0.1142 (0.1191) loss_rec_all: 0.1487 (0.1543) loss_rec_sfr: 0.2092 (0.2212) loss_cl: -0.3668 (-0.3667) time: 0.8675 data: 0.0003 max mem: 29859 [09:24:40.533017] Epoch: [29] [620/850] eta: 0:03:21 lr: 0.001783 loss: 0.1157 (0.1191) loss_rec_all: 0.1511 (0.1542) loss_rec_sfr: 0.2264 (0.2213) loss_cl: -0.3678 (-0.3667) time: 0.8634 data: 0.0003 max mem: 29859 [09:24:57.947293] Epoch: [29] [640/850] eta: 0:03:03 lr: 0.001785 loss: 0.1110 (0.1189) loss_rec_all: 0.1466 (0.1541) loss_rec_sfr: 0.2454 (0.2215) loss_cl: -0.3673 (-0.3667) time: 0.8707 data: 0.0003 max mem: 29859 [09:25:15.176534] Epoch: [29] [660/850] eta: 0:02:46 lr: 0.001786 loss: 0.1109 (0.1188) loss_rec_all: 0.1466 (0.1539) loss_rec_sfr: 0.1887 (0.2211) loss_cl: -0.3677 (-0.3668) time: 0.8614 data: 0.0002 max mem: 29859 [09:25:32.457422] Epoch: [29] [680/850] eta: 0:02:28 lr: 0.001788 loss: 0.1130 (0.1186) loss_rec_all: 0.1484 (0.1537) loss_rec_sfr: 0.2418 (0.2212) loss_cl: -0.3661 (-0.3667) time: 0.8640 data: 0.0002 max mem: 29859 [09:25:49.652589] Epoch: [29] [700/850] eta: 0:02:11 lr: 0.001789 loss: 0.1169 (0.1186) loss_rec_all: 0.1521 (0.1538) loss_rec_sfr: 0.1839 (0.2208) loss_cl: -0.3680 (-0.3668) time: 0.8597 data: 0.0002 max mem: 29859 [09:26:06.957657] Epoch: [29] [720/850] eta: 0:01:53 lr: 0.001791 loss: 0.1155 (0.1186) loss_rec_all: 0.1503 (0.1537) loss_rec_sfr: 0.2020 (0.2208) loss_cl: -0.3676 (-0.3668) time: 0.8652 data: 0.0002 max mem: 29859 [09:26:24.175781] Epoch: [29] [740/850] eta: 0:01:36 lr: 0.001792 loss: 0.1116 (0.1185) loss_rec_all: 0.1465 (0.1536) loss_rec_sfr: 0.2202 (0.2208) loss_cl: -0.3669 (-0.3668) time: 0.8608 data: 0.0003 max mem: 29859 [09:26:41.456054] Epoch: [29] [760/850] eta: 0:01:18 lr: 0.001794 loss: 0.1108 (0.1184) loss_rec_all: 0.1457 (0.1535) loss_rec_sfr: 0.2246 (0.2207) loss_cl: -0.3667 (-0.3668) time: 0.8639 data: 0.0002 max mem: 29859 [09:26:58.916880] Epoch: [29] [780/850] eta: 0:01:01 lr: 0.001795 loss: 0.1155 (0.1183) loss_rec_all: 0.1502 (0.1535) loss_rec_sfr: 0.2367 (0.2209) loss_cl: -0.3663 (-0.3668) time: 0.8730 data: 0.0003 max mem: 29859 [09:27:16.226550] Epoch: [29] [800/850] eta: 0:00:43 lr: 0.001796 loss: 0.1148 (0.1183) loss_rec_all: 0.1502 (0.1534) loss_rec_sfr: 0.1961 (0.2207) loss_cl: -0.3644 (-0.3667) time: 0.8654 data: 0.0003 max mem: 29859 [09:27:33.556678] Epoch: [29] [820/850] eta: 0:00:26 lr: 0.001798 loss: 0.1106 (0.1182) loss_rec_all: 0.1462 (0.1533) loss_rec_sfr: 0.1946 (0.2203) loss_cl: -0.3668 (-0.3667) time: 0.8665 data: 0.0002 max mem: 29859 [09:27:51.033952] Epoch: [29] [840/850] eta: 0:00:08 lr: 0.001799 loss: 0.1130 (0.1181) loss_rec_all: 0.1487 (0.1533) loss_rec_sfr: 0.2465 (0.2204) loss_cl: -0.3688 (-0.3667) time: 0.8738 data: 0.0005 max mem: 29859 [09:27:58.870043] Epoch: [29] [849/850] eta: 0:00:00 lr: 0.001800 loss: 0.1150 (0.1182) loss_rec_all: 0.1503 (0.1533) loss_rec_sfr: 0.2177 (0.2204) loss_cl: -0.3685 (-0.3668) time: 0.8728 data: 0.0006 max mem: 29859 [09:27:59.018817] Epoch: [29] Total time: 0:12:22 (0.8731 s / it) [09:27:59.030866] Averaged stats: lr: 0.001800 loss: 0.1150 (0.1182) loss_rec_all: 0.1503 (0.1533) loss_rec_sfr: 0.2177 (0.2199) loss_cl: -0.3685 (-0.3667) [09:27:59.041199] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [09:28:04.133939] Epoch: [30] [ 0/850] eta: 1:12:06 lr: 0.001800 loss: 0.1103 (0.1103) loss_rec_all: 0.1460 (0.1460) loss_rec_sfr: 0.1500 (0.1500) loss_cl: -0.3677 (-0.3677) time: 5.0897 data: 3.6925 max mem: 29859 [09:28:21.667584] Epoch: [30] [ 20/850] eta: 0:14:54 lr: 0.001801 loss: 0.1123 (0.1142) loss_rec_all: 0.1471 (0.1494) loss_rec_sfr: 0.2291 (0.2259) loss_cl: -0.3673 (-0.3672) time: 0.8765 data: 0.0007 max mem: 29859 [09:28:39.062548] Epoch: [30] [ 40/850] eta: 0:13:10 lr: 0.001803 loss: 0.1109 (0.1143) loss_rec_all: 0.1457 (0.1494) loss_rec_sfr: 0.2399 (0.2281) loss_cl: -0.3661 (-0.3667) time: 0.8697 data: 0.0002 max mem: 29859 [09:28:56.307159] Epoch: [30] [ 60/850] eta: 0:12:21 lr: 0.001804 loss: 0.1147 (0.1150) loss_rec_all: 0.1499 (0.1501) loss_rec_sfr: 0.2027 (0.2217) loss_cl: -0.3659 (-0.3664) time: 0.8622 data: 0.0002 max mem: 29859 [09:29:13.759798] Epoch: [30] [ 80/850] eta: 0:11:50 lr: 0.001806 loss: 0.1100 (0.1140) loss_rec_all: 0.1448 (0.1491) loss_rec_sfr: 0.1980 (0.2196) loss_cl: -0.3661 (-0.3664) time: 0.8726 data: 0.0002 max mem: 29859 [09:29:30.999362] Epoch: [30] [100/850] eta: 0:11:22 lr: 0.001807 loss: 0.1071 (0.1135) loss_rec_all: 0.1427 (0.1486) loss_rec_sfr: 0.2247 (0.2176) loss_cl: -0.3663 (-0.3663) time: 0.8619 data: 0.0002 max mem: 29859 [09:29:48.358389] Epoch: [30] [120/850] eta: 0:10:59 lr: 0.001808 loss: 0.1099 (0.1131) loss_rec_all: 0.1451 (0.1482) loss_rec_sfr: 0.2068 (0.2173) loss_cl: -0.3667 (-0.3664) time: 0.8679 data: 0.0003 max mem: 29859 [09:30:05.733288] Epoch: [30] [140/850] eta: 0:10:37 lr: 0.001810 loss: 0.1210 (0.1147) loss_rec_all: 0.1565 (0.1498) loss_rec_sfr: 0.2505 (0.2184) loss_cl: -0.3673 (-0.3665) time: 0.8687 data: 0.0003 max mem: 29859 [09:30:23.434392] Epoch: [30] [160/850] eta: 0:10:18 lr: 0.001811 loss: 0.1156 (0.1150) loss_rec_all: 0.1507 (0.1501) loss_rec_sfr: 0.2100 (0.2188) loss_cl: -0.3682 (-0.3667) time: 0.8850 data: 0.0006 max mem: 29859 [09:30:40.714960] Epoch: [30] [180/850] eta: 0:09:58 lr: 0.001812 loss: 0.1143 (0.1150) loss_rec_all: 0.1496 (0.1502) loss_rec_sfr: 0.2018 (0.2176) loss_cl: -0.3669 (-0.3667) time: 0.8640 data: 0.0003 max mem: 29859 [09:30:58.132030] Epoch: [30] [200/850] eta: 0:09:39 lr: 0.001814 loss: 0.1160 (0.1153) loss_rec_all: 0.1512 (0.1504) loss_rec_sfr: 0.1885 (0.2160) loss_cl: -0.3663 (-0.3667) time: 0.8708 data: 0.0003 max mem: 29859 [09:31:15.583161] Epoch: [30] [220/850] eta: 0:09:20 lr: 0.001815 loss: 0.1148 (0.1155) loss_rec_all: 0.1494 (0.1507) loss_rec_sfr: 0.2342 (0.2181) loss_cl: -0.3666 (-0.3667) time: 0.8725 data: 0.0003 max mem: 29859 [09:31:33.111829] Epoch: [30] [240/850] eta: 0:09:01 lr: 0.001817 loss: 0.1152 (0.1156) loss_rec_all: 0.1503 (0.1507) loss_rec_sfr: 0.2070 (0.2181) loss_cl: -0.3655 (-0.3666) time: 0.8764 data: 0.0004 max mem: 29859 [09:31:50.561615] Epoch: [30] [260/850] eta: 0:08:43 lr: 0.001818 loss: 0.1170 (0.1162) loss_rec_all: 0.1524 (0.1514) loss_rec_sfr: 0.2019 (0.2187) loss_cl: -0.3664 (-0.3665) time: 0.8724 data: 0.0004 max mem: 29859 [09:32:08.034902] Epoch: [30] [280/850] eta: 0:08:25 lr: 0.001820 loss: 0.1119 (0.1162) loss_rec_all: 0.1475 (0.1513) loss_rec_sfr: 0.1912 (0.2179) loss_cl: -0.3674 (-0.3666) time: 0.8736 data: 0.0003 max mem: 29859 [09:32:25.647647] Epoch: [30] [300/850] eta: 0:08:07 lr: 0.001821 loss: 0.1120 (0.1159) loss_rec_all: 0.1471 (0.1511) loss_rec_sfr: 0.1894 (0.2167) loss_cl: -0.3674 (-0.3667) time: 0.8805 data: 0.0004 max mem: 29859 [09:32:43.109827] Epoch: [30] [320/850] eta: 0:07:48 lr: 0.001823 loss: 0.1097 (0.1155) loss_rec_all: 0.1446 (0.1507) loss_rec_sfr: 0.2505 (0.2177) loss_cl: -0.3670 (-0.3667) time: 0.8730 data: 0.0003 max mem: 29859 [09:33:00.407692] Epoch: [30] [340/850] eta: 0:07:30 lr: 0.001824 loss: 0.1171 (0.1156) loss_rec_all: 0.1519 (0.1507) loss_rec_sfr: 0.1913 (0.2176) loss_cl: -0.3662 (-0.3666) time: 0.8647 data: 0.0002 max mem: 29859 [09:33:17.789377] Epoch: [30] [360/850] eta: 0:07:12 lr: 0.001825 loss: 0.1122 (0.1155) loss_rec_all: 0.1471 (0.1507) loss_rec_sfr: 0.2232 (0.2175) loss_cl: -0.3661 (-0.3666) time: 0.8690 data: 0.0003 max mem: 29859 [09:33:35.424744] Epoch: [30] [380/850] eta: 0:06:54 lr: 0.001827 loss: 0.1076 (0.1153) loss_rec_all: 0.1430 (0.1504) loss_rec_sfr: 0.1805 (0.2165) loss_cl: -0.3663 (-0.3666) time: 0.8816 data: 0.0005 max mem: 29859 [09:33:53.219653] Epoch: [30] [400/850] eta: 0:06:37 lr: 0.001828 loss: 0.1122 (0.1153) loss_rec_all: 0.1476 (0.1504) loss_rec_sfr: 0.1961 (0.2162) loss_cl: -0.3678 (-0.3667) time: 0.8896 data: 0.0007 max mem: 29859 [09:34:11.090412] Epoch: [30] [420/850] eta: 0:06:19 lr: 0.001829 loss: 0.1110 (0.1152) loss_rec_all: 0.1465 (0.1503) loss_rec_sfr: 0.1971 (0.2159) loss_cl: -0.3679 (-0.3667) time: 0.8934 data: 0.0009 max mem: 29859 [09:34:29.853654] Epoch: [30] [440/850] eta: 0:06:03 lr: 0.001831 loss: 0.1075 (0.1149) loss_rec_all: 0.1426 (0.1501) loss_rec_sfr: 0.1755 (0.2148) loss_cl: -0.3661 (-0.3667) time: 0.9379 data: 0.0011 max mem: 29859 [09:34:47.578851] Epoch: [30] [460/850] eta: 0:05:45 lr: 0.001832 loss: 0.1051 (0.1146) loss_rec_all: 0.1405 (0.1497) loss_rec_sfr: 0.2338 (0.2149) loss_cl: -0.3650 (-0.3666) time: 0.8862 data: 0.0006 max mem: 29859 [09:35:05.210561] Epoch: [30] [480/850] eta: 0:05:27 lr: 0.001834 loss: 0.1056 (0.1143) loss_rec_all: 0.1408 (0.1494) loss_rec_sfr: 0.1762 (0.2141) loss_cl: -0.3653 (-0.3666) time: 0.8815 data: 0.0005 max mem: 29859 [09:35:22.484075] Epoch: [30] [500/850] eta: 0:05:09 lr: 0.001835 loss: 0.1187 (0.1146) loss_rec_all: 0.1541 (0.1497) loss_rec_sfr: 0.2242 (0.2147) loss_cl: -0.3670 (-0.3666) time: 0.8636 data: 0.0003 max mem: 29859 [09:35:39.761838] Epoch: [30] [520/850] eta: 0:04:51 lr: 0.001837 loss: 0.1130 (0.1146) loss_rec_all: 0.1487 (0.1498) loss_rec_sfr: 0.2280 (0.2144) loss_cl: -0.3679 (-0.3666) time: 0.8638 data: 0.0002 max mem: 29859 [09:35:57.388339] Epoch: [30] [540/850] eta: 0:04:34 lr: 0.001838 loss: 0.1166 (0.1148) loss_rec_all: 0.1516 (0.1500) loss_rec_sfr: 0.2193 (0.2150) loss_cl: -0.3673 (-0.3667) time: 0.8813 data: 0.0004 max mem: 29859 [09:36:14.899419] Epoch: [30] [560/850] eta: 0:04:16 lr: 0.001840 loss: 0.1198 (0.1150) loss_rec_all: 0.1545 (0.1502) loss_rec_sfr: 0.2261 (0.2163) loss_cl: -0.3670 (-0.3667) time: 0.8755 data: 0.0004 max mem: 29859 [09:36:32.317570] Epoch: [30] [580/850] eta: 0:03:58 lr: 0.001841 loss: 0.1133 (0.1150) loss_rec_all: 0.1487 (0.1502) loss_rec_sfr: 0.1708 (0.2160) loss_cl: -0.3662 (-0.3667) time: 0.8708 data: 0.0005 max mem: 29859 [09:36:49.910195] Epoch: [30] [600/850] eta: 0:03:40 lr: 0.001842 loss: 0.1104 (0.1149) loss_rec_all: 0.1461 (0.1501) loss_rec_sfr: 0.2439 (0.2163) loss_cl: -0.3668 (-0.3667) time: 0.8795 data: 0.0004 max mem: 29859 [09:37:07.623018] Epoch: [30] [620/850] eta: 0:03:23 lr: 0.001843 loss: 0.1162 (0.1151) loss_rec_all: 0.1517 (0.1502) loss_rec_sfr: 0.2315 (0.2170) loss_cl: -0.3658 (-0.3666) time: 0.8855 data: 0.0008 max mem: 29859 [09:37:25.661965] Epoch: [30] [640/850] eta: 0:03:05 lr: 0.001845 loss: 0.1208 (0.1154) loss_rec_all: 0.1562 (0.1506) loss_rec_sfr: 0.2221 (0.2175) loss_cl: -0.3673 (-0.3666) time: 0.9018 data: 0.0010 max mem: 29859 [09:37:43.196916] Epoch: [30] [660/850] eta: 0:02:47 lr: 0.001846 loss: 0.1177 (0.1156) loss_rec_all: 0.1525 (0.1507) loss_rec_sfr: 0.1969 (0.2174) loss_cl: -0.3685 (-0.3667) time: 0.8767 data: 0.0003 max mem: 29859 [09:38:00.917833] Epoch: [30] [680/850] eta: 0:02:30 lr: 0.001848 loss: 0.1126 (0.1155) loss_rec_all: 0.1478 (0.1507) loss_rec_sfr: 0.2502 (0.2178) loss_cl: -0.3669 (-0.3667) time: 0.8859 data: 0.0007 max mem: 29859 [09:38:18.315623] Epoch: [30] [700/850] eta: 0:02:12 lr: 0.001849 loss: 0.1076 (0.1153) loss_rec_all: 0.1430 (0.1505) loss_rec_sfr: 0.1820 (0.2172) loss_cl: -0.3665 (-0.3667) time: 0.8698 data: 0.0003 max mem: 29859 [09:38:35.876280] Epoch: [30] [720/850] eta: 0:01:54 lr: 0.001851 loss: 0.1064 (0.1152) loss_rec_all: 0.1411 (0.1503) loss_rec_sfr: 0.1889 (0.2169) loss_cl: -0.3662 (-0.3667) time: 0.8779 data: 0.0005 max mem: 29859 [09:38:53.271935] Epoch: [30] [740/850] eta: 0:01:37 lr: 0.001852 loss: 0.1109 (0.1151) loss_rec_all: 0.1461 (0.1503) loss_rec_sfr: 0.1965 (0.2165) loss_cl: -0.3669 (-0.3667) time: 0.8697 data: 0.0003 max mem: 29859 [09:39:10.996051] Epoch: [30] [760/850] eta: 0:01:19 lr: 0.001854 loss: 0.1173 (0.1152) loss_rec_all: 0.1528 (0.1503) loss_rec_sfr: 0.2655 (0.2172) loss_cl: -0.3671 (-0.3667) time: 0.8861 data: 0.0005 max mem: 29859 [09:39:28.605560] Epoch: [30] [780/850] eta: 0:01:01 lr: 0.001855 loss: 0.1120 (0.1152) loss_rec_all: 0.1471 (0.1503) loss_rec_sfr: 0.1906 (0.2171) loss_cl: -0.3665 (-0.3667) time: 0.8804 data: 0.0006 max mem: 29859 [09:39:46.703967] Epoch: [30] [800/850] eta: 0:00:44 lr: 0.001856 loss: 0.1148 (0.1152) loss_rec_all: 0.1496 (0.1504) loss_rec_sfr: 0.1901 (0.2168) loss_cl: -0.3662 (-0.3667) time: 0.9048 data: 0.0007 max mem: 29859 [09:40:03.969196] Epoch: [30] [820/850] eta: 0:00:26 lr: 0.001858 loss: 0.1130 (0.1152) loss_rec_all: 0.1478 (0.1504) loss_rec_sfr: 0.2443 (0.2171) loss_cl: -0.3666 (-0.3667) time: 0.8632 data: 0.0003 max mem: 29859 [09:40:21.225250] Epoch: [30] [840/850] eta: 0:00:08 lr: 0.001859 loss: 0.1077 (0.1151) loss_rec_all: 0.1431 (0.1502) loss_rec_sfr: 0.1870 (0.2168) loss_cl: -0.3672 (-0.3667) time: 0.8627 data: 0.0005 max mem: 29859 [09:40:29.022522] Epoch: [30] [849/850] eta: 0:00:00 lr: 0.001860 loss: 0.1048 (0.1150) loss_rec_all: 0.1404 (0.1502) loss_rec_sfr: 0.1774 (0.2168) loss_cl: -0.3672 (-0.3667) time: 0.8659 data: 0.0005 max mem: 29859 [09:40:29.168240] Epoch: [30] Total time: 0:12:30 (0.8825 s / it) [09:40:29.170903] Averaged stats: lr: 0.001860 loss: 0.1048 (0.1152) loss_rec_all: 0.1404 (0.1503) loss_rec_sfr: 0.1774 (0.2169) loss_cl: -0.3672 (-0.3667) [09:40:29.191387] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [09:40:34.035094] Epoch: [31] [ 0/850] eta: 1:08:34 lr: 0.001860 loss: 0.1062 (0.1062) loss_rec_all: 0.1411 (0.1411) loss_rec_sfr: 0.2576 (0.2576) loss_cl: -0.3675 (-0.3675) time: 4.8411 data: 3.9867 max mem: 29859 [09:40:51.323523] Epoch: [31] [ 20/850] eta: 0:14:34 lr: 0.001861 loss: 0.1063 (0.1092) loss_rec_all: 0.1417 (0.1445) loss_rec_sfr: 0.1683 (0.1926) loss_cl: -0.3670 (-0.3670) time: 0.8644 data: 0.0002 max mem: 29859 [09:41:08.720558] Epoch: [31] [ 40/850] eta: 0:13:00 lr: 0.001863 loss: 0.1092 (0.1103) loss_rec_all: 0.1445 (0.1456) loss_rec_sfr: 0.1875 (0.1982) loss_cl: -0.3670 (-0.3669) time: 0.8698 data: 0.0003 max mem: 29859 [09:41:26.194670] Epoch: [31] [ 60/850] eta: 0:12:18 lr: 0.001864 loss: 0.1106 (0.1112) loss_rec_all: 0.1454 (0.1465) loss_rec_sfr: 0.2107 (0.2042) loss_cl: -0.3673 (-0.3670) time: 0.8736 data: 0.0005 max mem: 29859 [09:41:43.685650] Epoch: [31] [ 80/850] eta: 0:11:48 lr: 0.001866 loss: 0.1080 (0.1112) loss_rec_all: 0.1429 (0.1465) loss_rec_sfr: 0.2150 (0.2063) loss_cl: -0.3666 (-0.3669) time: 0.8745 data: 0.0004 max mem: 29859 [09:42:01.164098] Epoch: [31] [100/850] eta: 0:11:22 lr: 0.001867 loss: 0.1064 (0.1105) loss_rec_all: 0.1413 (0.1457) loss_rec_sfr: 0.2289 (0.2085) loss_cl: -0.3669 (-0.3669) time: 0.8739 data: 0.0006 max mem: 29859 [09:42:18.644380] Epoch: [31] [120/850] eta: 0:11:00 lr: 0.001868 loss: 0.1053 (0.1102) loss_rec_all: 0.1402 (0.1454) loss_rec_sfr: 0.1850 (0.2076) loss_cl: -0.3668 (-0.3669) time: 0.8739 data: 0.0004 max mem: 29859 [09:42:36.049534] Epoch: [31] [140/850] eta: 0:10:38 lr: 0.001870 loss: 0.1069 (0.1100) loss_rec_all: 0.1418 (0.1453) loss_rec_sfr: 0.2248 (0.2089) loss_cl: -0.3664 (-0.3668) time: 0.8701 data: 0.0003 max mem: 29859 [09:42:53.486200] Epoch: [31] [160/850] eta: 0:10:18 lr: 0.001871 loss: 0.1077 (0.1103) loss_rec_all: 0.1432 (0.1455) loss_rec_sfr: 0.2192 (0.2090) loss_cl: -0.3661 (-0.3667) time: 0.8718 data: 0.0003 max mem: 29859 [09:43:10.886085] Epoch: [31] [180/850] eta: 0:09:58 lr: 0.001872 loss: 0.1099 (0.1105) loss_rec_all: 0.1453 (0.1457) loss_rec_sfr: 0.2325 (0.2098) loss_cl: -0.3667 (-0.3667) time: 0.8699 data: 0.0004 max mem: 29859 [09:43:28.264181] Epoch: [31] [200/850] eta: 0:09:39 lr: 0.001874 loss: 0.1079 (0.1104) loss_rec_all: 0.1433 (0.1456) loss_rec_sfr: 0.1853 (0.2096) loss_cl: -0.3676 (-0.3668) time: 0.8688 data: 0.0002 max mem: 29859 [09:43:45.473148] Epoch: [31] [220/850] eta: 0:09:19 lr: 0.001875 loss: 0.1057 (0.1101) loss_rec_all: 0.1413 (0.1453) loss_rec_sfr: 0.1666 (0.2093) loss_cl: -0.3671 (-0.3668) time: 0.8604 data: 0.0002 max mem: 29859 [09:44:02.882278] Epoch: [31] [240/850] eta: 0:09:00 lr: 0.001877 loss: 0.1085 (0.1101) loss_rec_all: 0.1432 (0.1453) loss_rec_sfr: 0.2388 (0.2098) loss_cl: -0.3657 (-0.3667) time: 0.8704 data: 0.0002 max mem: 29859 [09:44:20.100807] Epoch: [31] [260/850] eta: 0:08:41 lr: 0.001878 loss: 0.1088 (0.1102) loss_rec_all: 0.1439 (0.1453) loss_rec_sfr: 0.2327 (0.2115) loss_cl: -0.3657 (-0.3666) time: 0.8608 data: 0.0002 max mem: 29859 [09:44:37.472160] Epoch: [31] [280/850] eta: 0:08:23 lr: 0.001880 loss: 0.1111 (0.1102) loss_rec_all: 0.1465 (0.1454) loss_rec_sfr: 0.2166 (0.2128) loss_cl: -0.3668 (-0.3666) time: 0.8685 data: 0.0003 max mem: 29859 [09:44:54.749060] Epoch: [31] [300/850] eta: 0:08:05 lr: 0.001881 loss: 0.1073 (0.1101) loss_rec_all: 0.1421 (0.1453) loss_rec_sfr: 0.1711 (0.2116) loss_cl: -0.3675 (-0.3667) time: 0.8638 data: 0.0003 max mem: 29859 [09:45:12.053437] Epoch: [31] [320/850] eta: 0:07:46 lr: 0.001883 loss: 0.1098 (0.1101) loss_rec_all: 0.1455 (0.1453) loss_rec_sfr: 0.1824 (0.2105) loss_cl: -0.3678 (-0.3668) time: 0.8652 data: 0.0003 max mem: 29859 [09:45:29.369957] Epoch: [31] [340/850] eta: 0:07:28 lr: 0.001884 loss: 0.1096 (0.1103) loss_rec_all: 0.1452 (0.1455) loss_rec_sfr: 0.2191 (0.2107) loss_cl: -0.3659 (-0.3667) time: 0.8658 data: 0.0003 max mem: 29859 [09:45:46.763009] Epoch: [31] [360/850] eta: 0:07:11 lr: 0.001885 loss: 0.1099 (0.1103) loss_rec_all: 0.1448 (0.1455) loss_rec_sfr: 0.2095 (0.2108) loss_cl: -0.3658 (-0.3666) time: 0.8696 data: 0.0003 max mem: 29859 [09:46:04.153017] Epoch: [31] [380/850] eta: 0:06:53 lr: 0.001887 loss: 0.1104 (0.1103) loss_rec_all: 0.1457 (0.1455) loss_rec_sfr: 0.1903 (0.2109) loss_cl: -0.3665 (-0.3666) time: 0.8694 data: 0.0003 max mem: 29859 [09:46:21.572309] Epoch: [31] [400/850] eta: 0:06:35 lr: 0.001888 loss: 0.1131 (0.1105) loss_rec_all: 0.1479 (0.1457) loss_rec_sfr: 0.2404 (0.2118) loss_cl: -0.3672 (-0.3667) time: 0.8709 data: 0.0003 max mem: 29859 [09:46:39.004585] Epoch: [31] [420/850] eta: 0:06:17 lr: 0.001889 loss: 0.1118 (0.1107) loss_rec_all: 0.1475 (0.1459) loss_rec_sfr: 0.2246 (0.2118) loss_cl: -0.3674 (-0.3667) time: 0.8715 data: 0.0003 max mem: 29859 [09:46:56.374934] Epoch: [31] [440/850] eta: 0:05:59 lr: 0.001891 loss: 0.1074 (0.1106) loss_rec_all: 0.1424 (0.1458) loss_rec_sfr: 0.1889 (0.2115) loss_cl: -0.3680 (-0.3668) time: 0.8685 data: 0.0003 max mem: 29859 [09:47:13.628312] Epoch: [31] [460/850] eta: 0:05:42 lr: 0.001892 loss: 0.1040 (0.1104) loss_rec_all: 0.1394 (0.1456) loss_rec_sfr: 0.1861 (0.2109) loss_cl: -0.3669 (-0.3668) time: 0.8626 data: 0.0003 max mem: 29859 [09:47:30.992783] Epoch: [31] [480/850] eta: 0:05:24 lr: 0.001894 loss: 0.1023 (0.1102) loss_rec_all: 0.1379 (0.1454) loss_rec_sfr: 0.1627 (0.2103) loss_cl: -0.3663 (-0.3667) time: 0.8682 data: 0.0004 max mem: 29859 [09:47:48.228502] Epoch: [31] [500/850] eta: 0:05:06 lr: 0.001895 loss: 0.1116 (0.1105) loss_rec_all: 0.1470 (0.1457) loss_rec_sfr: 0.2463 (0.2110) loss_cl: -0.3650 (-0.3667) time: 0.8617 data: 0.0002 max mem: 29859 [09:48:05.584498] Epoch: [31] [520/850] eta: 0:04:49 lr: 0.001897 loss: 0.1126 (0.1107) loss_rec_all: 0.1478 (0.1458) loss_rec_sfr: 0.2329 (0.2116) loss_cl: -0.3662 (-0.3666) time: 0.8677 data: 0.0003 max mem: 29859 [09:48:22.784953] Epoch: [31] [540/850] eta: 0:04:31 lr: 0.001898 loss: 0.1111 (0.1108) loss_rec_all: 0.1467 (0.1460) loss_rec_sfr: 0.2006 (0.2117) loss_cl: -0.3673 (-0.3667) time: 0.8600 data: 0.0002 max mem: 29859 [09:48:40.150707] Epoch: [31] [560/850] eta: 0:04:13 lr: 0.001900 loss: 0.1070 (0.1108) loss_rec_all: 0.1419 (0.1459) loss_rec_sfr: 0.2445 (0.2122) loss_cl: -0.3672 (-0.3667) time: 0.8682 data: 0.0003 max mem: 29859 [09:48:57.373333] Epoch: [31] [580/850] eta: 0:03:56 lr: 0.001901 loss: 0.1055 (0.1106) loss_rec_all: 0.1407 (0.1458) loss_rec_sfr: 0.2086 (0.2121) loss_cl: -0.3676 (-0.3667) time: 0.8611 data: 0.0002 max mem: 29859 [09:49:14.728782] Epoch: [31] [600/850] eta: 0:03:38 lr: 0.001902 loss: 0.1028 (0.1104) loss_rec_all: 0.1384 (0.1456) loss_rec_sfr: 0.1830 (0.2115) loss_cl: -0.3665 (-0.3667) time: 0.8677 data: 0.0002 max mem: 29859 [09:49:32.040515] Epoch: [31] [620/850] eta: 0:03:21 lr: 0.001903 loss: 0.1091 (0.1105) loss_rec_all: 0.1445 (0.1457) loss_rec_sfr: 0.1771 (0.2112) loss_cl: -0.3661 (-0.3667) time: 0.8655 data: 0.0002 max mem: 29859 [09:49:49.301307] Epoch: [31] [640/850] eta: 0:03:03 lr: 0.001905 loss: 0.1201 (0.1108) loss_rec_all: 0.1549 (0.1460) loss_rec_sfr: 0.2610 (0.2126) loss_cl: -0.3669 (-0.3667) time: 0.8629 data: 0.0002 max mem: 29859 [09:50:06.475926] Epoch: [31] [660/850] eta: 0:02:45 lr: 0.001906 loss: 0.1171 (0.1110) loss_rec_all: 0.1520 (0.1462) loss_rec_sfr: 0.2229 (0.2129) loss_cl: -0.3667 (-0.3667) time: 0.8587 data: 0.0002 max mem: 29859 [09:50:23.753816] Epoch: [31] [680/850] eta: 0:02:28 lr: 0.001908 loss: 0.1125 (0.1112) loss_rec_all: 0.1477 (0.1464) loss_rec_sfr: 0.2327 (0.2133) loss_cl: -0.3673 (-0.3667) time: 0.8638 data: 0.0002 max mem: 29859 [09:50:41.083706] Epoch: [31] [700/850] eta: 0:02:10 lr: 0.001909 loss: 0.1238 (0.1115) loss_rec_all: 0.1593 (0.1467) loss_rec_sfr: 0.2707 (0.2149) loss_cl: -0.3675 (-0.3667) time: 0.8664 data: 0.0003 max mem: 29859 [09:50:58.348535] Epoch: [31] [720/850] eta: 0:01:53 lr: 0.001911 loss: 0.1187 (0.1118) loss_rec_all: 0.1537 (0.1469) loss_rec_sfr: 0.2126 (0.2151) loss_cl: -0.3669 (-0.3667) time: 0.8632 data: 0.0002 max mem: 29859 [09:51:15.669178] Epoch: [31] [740/850] eta: 0:01:35 lr: 0.001912 loss: 0.1208 (0.1120) loss_rec_all: 0.1557 (0.1472) loss_rec_sfr: 0.2327 (0.2157) loss_cl: -0.3667 (-0.3667) time: 0.8660 data: 0.0002 max mem: 29859 [09:51:33.148930] Epoch: [31] [760/850] eta: 0:01:18 lr: 0.001914 loss: 0.1183 (0.1123) loss_rec_all: 0.1529 (0.1475) loss_rec_sfr: 0.2523 (0.2165) loss_cl: -0.3654 (-0.3667) time: 0.8739 data: 0.0003 max mem: 29859 [09:51:50.425563] Epoch: [31] [780/850] eta: 0:01:01 lr: 0.001915 loss: 0.1161 (0.1125) loss_rec_all: 0.1513 (0.1477) loss_rec_sfr: 0.2318 (0.2167) loss_cl: -0.3664 (-0.3667) time: 0.8638 data: 0.0002 max mem: 29859 [09:52:07.837958] Epoch: [31] [800/850] eta: 0:00:43 lr: 0.001916 loss: 0.1140 (0.1126) loss_rec_all: 0.1496 (0.1478) loss_rec_sfr: 0.2310 (0.2170) loss_cl: -0.3667 (-0.3667) time: 0.8706 data: 0.0004 max mem: 29859 [09:52:25.353264] Epoch: [31] [820/850] eta: 0:00:26 lr: 0.001918 loss: 0.1092 (0.1126) loss_rec_all: 0.1443 (0.1477) loss_rec_sfr: 0.2236 (0.2171) loss_cl: -0.3670 (-0.3667) time: 0.8757 data: 0.0003 max mem: 29859 [09:52:42.672990] Epoch: [31] [840/850] eta: 0:00:08 lr: 0.001919 loss: 0.1083 (0.1125) loss_rec_all: 0.1438 (0.1477) loss_rec_sfr: 0.1846 (0.2167) loss_cl: -0.3671 (-0.3667) time: 0.8659 data: 0.0005 max mem: 29859 [09:52:50.417276] Epoch: [31] [849/850] eta: 0:00:00 lr: 0.001920 loss: 0.1084 (0.1125) loss_rec_all: 0.1439 (0.1476) loss_rec_sfr: 0.1857 (0.2169) loss_cl: -0.3671 (-0.3667) time: 0.8625 data: 0.0005 max mem: 29859 [09:52:50.561997] Epoch: [31] Total time: 0:12:21 (0.8722 s / it) [09:52:50.571142] Averaged stats: lr: 0.001920 loss: 0.1084 (0.1126) loss_rec_all: 0.1439 (0.1477) loss_rec_sfr: 0.1857 (0.2182) loss_cl: -0.3671 (-0.3666) [09:52:50.582184] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [09:52:56.537914] Epoch: [32] [ 0/850] eta: 1:24:21 lr: 0.001920 loss: 0.1120 (0.1120) loss_rec_all: 0.1471 (0.1471) loss_rec_sfr: 0.2096 (0.2096) loss_cl: -0.3657 (-0.3657) time: 5.9549 data: 4.3456 max mem: 29859 [09:53:14.028175] Epoch: [32] [ 20/850] eta: 0:15:26 lr: 0.001921 loss: 0.1024 (0.1064) loss_rec_all: 0.1380 (0.1416) loss_rec_sfr: 0.1668 (0.1916) loss_cl: -0.3660 (-0.3660) time: 0.8744 data: 0.0004 max mem: 29859 [09:53:31.392266] Epoch: [32] [ 40/850] eta: 0:13:26 lr: 0.001923 loss: 0.1030 (0.1056) loss_rec_all: 0.1380 (0.1409) loss_rec_sfr: 0.2220 (0.2002) loss_cl: -0.3664 (-0.3662) time: 0.8681 data: 0.0003 max mem: 29859 [09:53:48.754126] Epoch: [32] [ 60/850] eta: 0:12:33 lr: 0.001924 loss: 0.1009 (0.1046) loss_rec_all: 0.1361 (0.1399) loss_rec_sfr: 0.1853 (0.1996) loss_cl: -0.3666 (-0.3663) time: 0.8680 data: 0.0004 max mem: 29859 [09:54:06.283428] Epoch: [32] [ 80/850] eta: 0:11:59 lr: 0.001926 loss: 0.1043 (0.1053) loss_rec_all: 0.1393 (0.1406) loss_rec_sfr: 0.1828 (0.1995) loss_cl: -0.3675 (-0.3666) time: 0.8764 data: 0.0003 max mem: 29859 [09:54:23.673682] Epoch: [32] [100/850] eta: 0:11:31 lr: 0.001927 loss: 0.1041 (0.1056) loss_rec_all: 0.1397 (0.1408) loss_rec_sfr: 0.1691 (0.1982) loss_cl: -0.3667 (-0.3666) time: 0.8694 data: 0.0003 max mem: 29859 [09:54:41.263129] Epoch: [32] [120/850] eta: 0:11:07 lr: 0.001928 loss: 0.1066 (0.1065) loss_rec_all: 0.1415 (0.1417) loss_rec_sfr: 0.1971 (0.1998) loss_cl: -0.3662 (-0.3666) time: 0.8794 data: 0.0005 max mem: 29859 [09:54:59.081958] Epoch: [32] [140/850] eta: 0:10:46 lr: 0.001930 loss: 0.1062 (0.1068) loss_rec_all: 0.1418 (0.1420) loss_rec_sfr: 0.1794 (0.1993) loss_cl: -0.3667 (-0.3666) time: 0.8909 data: 0.0004 max mem: 29859 [09:55:17.088539] Epoch: [32] [160/850] eta: 0:10:27 lr: 0.001931 loss: 0.1141 (0.1078) loss_rec_all: 0.1496 (0.1431) loss_rec_sfr: 0.2349 (0.2015) loss_cl: -0.3678 (-0.3667) time: 0.9003 data: 0.0003 max mem: 29859 [09:55:34.531508] Epoch: [32] [180/850] eta: 0:10:06 lr: 0.001932 loss: 0.1110 (0.1086) loss_rec_all: 0.1461 (0.1439) loss_rec_sfr: 0.2342 (0.2026) loss_cl: -0.3677 (-0.3668) time: 0.8721 data: 0.0002 max mem: 29859 [09:55:52.247653] Epoch: [32] [200/850] eta: 0:09:47 lr: 0.001934 loss: 0.1084 (0.1090) loss_rec_all: 0.1439 (0.1442) loss_rec_sfr: 0.2365 (0.2041) loss_cl: -0.3655 (-0.3667) time: 0.8857 data: 0.0004 max mem: 29859 [09:56:09.881990] Epoch: [32] [220/850] eta: 0:09:28 lr: 0.001935 loss: 0.1034 (0.1086) loss_rec_all: 0.1388 (0.1438) loss_rec_sfr: 0.1675 (0.2026) loss_cl: -0.3657 (-0.3666) time: 0.8817 data: 0.0004 max mem: 29859 [09:56:27.643044] Epoch: [32] [240/850] eta: 0:09:09 lr: 0.001937 loss: 0.0998 (0.1080) loss_rec_all: 0.1347 (0.1432) loss_rec_sfr: 0.2092 (0.2025) loss_cl: -0.3675 (-0.3667) time: 0.8880 data: 0.0003 max mem: 29859 [09:56:45.001876] Epoch: [32] [260/850] eta: 0:08:49 lr: 0.001938 loss: 0.1015 (0.1076) loss_rec_all: 0.1372 (0.1429) loss_rec_sfr: 0.1800 (0.2016) loss_cl: -0.3679 (-0.3668) time: 0.8678 data: 0.0003 max mem: 29859 [09:57:02.873361] Epoch: [32] [280/850] eta: 0:08:31 lr: 0.001940 loss: 0.1132 (0.1082) loss_rec_all: 0.1481 (0.1435) loss_rec_sfr: 0.2018 (0.2027) loss_cl: -0.3667 (-0.3668) time: 0.8935 data: 0.0003 max mem: 29859 [09:57:20.653975] Epoch: [32] [300/850] eta: 0:08:13 lr: 0.001941 loss: 0.1134 (0.1085) loss_rec_all: 0.1483 (0.1438) loss_rec_sfr: 0.2060 (0.2035) loss_cl: -0.3657 (-0.3667) time: 0.8889 data: 0.0003 max mem: 29859 [09:57:38.011191] Epoch: [32] [320/850] eta: 0:07:54 lr: 0.001943 loss: 0.1037 (0.1084) loss_rec_all: 0.1393 (0.1436) loss_rec_sfr: 0.2126 (0.2036) loss_cl: -0.3668 (-0.3667) time: 0.8678 data: 0.0003 max mem: 29859 [09:57:55.572087] Epoch: [32] [340/850] eta: 0:07:36 lr: 0.001944 loss: 0.1016 (0.1081) loss_rec_all: 0.1366 (0.1434) loss_rec_sfr: 0.1785 (0.2029) loss_cl: -0.3669 (-0.3667) time: 0.8778 data: 0.0005 max mem: 29859 [09:58:13.590475] Epoch: [32] [360/850] eta: 0:07:18 lr: 0.001945 loss: 0.1052 (0.1081) loss_rec_all: 0.1407 (0.1434) loss_rec_sfr: 0.1767 (0.2025) loss_cl: -0.3672 (-0.3668) time: 0.9008 data: 0.0005 max mem: 29859 [09:58:31.208063] Epoch: [32] [380/850] eta: 0:07:00 lr: 0.001947 loss: 0.1022 (0.1079) loss_rec_all: 0.1378 (0.1431) loss_rec_sfr: 0.1818 (0.2025) loss_cl: -0.3675 (-0.3668) time: 0.8808 data: 0.0003 max mem: 29859 [09:58:48.674652] Epoch: [32] [400/850] eta: 0:06:41 lr: 0.001948 loss: 0.1005 (0.1077) loss_rec_all: 0.1359 (0.1429) loss_rec_sfr: 0.1910 (0.2024) loss_cl: -0.3659 (-0.3667) time: 0.8732 data: 0.0003 max mem: 29859 [09:59:06.032444] Epoch: [32] [420/850] eta: 0:06:23 lr: 0.001949 loss: 0.1005 (0.1075) loss_rec_all: 0.1360 (0.1428) loss_rec_sfr: 0.2246 (0.2030) loss_cl: -0.3665 (-0.3667) time: 0.8678 data: 0.0003 max mem: 29859 [09:59:23.618996] Epoch: [32] [440/850] eta: 0:06:05 lr: 0.001951 loss: 0.1009 (0.1073) loss_rec_all: 0.1357 (0.1426) loss_rec_sfr: 0.1875 (0.2028) loss_cl: -0.3656 (-0.3667) time: 0.8793 data: 0.0003 max mem: 29859 [09:59:41.065315] Epoch: [32] [460/850] eta: 0:05:47 lr: 0.001952 loss: 0.1083 (0.1078) loss_rec_all: 0.1437 (0.1431) loss_rec_sfr: 0.2384 (0.2040) loss_cl: -0.3662 (-0.3667) time: 0.8722 data: 0.0003 max mem: 29859 [09:59:59.051478] Epoch: [32] [480/850] eta: 0:05:29 lr: 0.001954 loss: 0.1123 (0.1081) loss_rec_all: 0.1477 (0.1433) loss_rec_sfr: 0.1992 (0.2043) loss_cl: -0.3673 (-0.3667) time: 0.8992 data: 0.0005 max mem: 29859 [10:00:16.414482] Epoch: [32] [500/850] eta: 0:05:11 lr: 0.001955 loss: 0.1124 (0.1083) loss_rec_all: 0.1474 (0.1436) loss_rec_sfr: 0.2317 (0.2053) loss_cl: -0.3679 (-0.3667) time: 0.8681 data: 0.0003 max mem: 29859 [10:00:35.550445] Epoch: [32] [520/850] eta: 0:04:54 lr: 0.001957 loss: 0.1125 (0.1087) loss_rec_all: 0.1480 (0.1439) loss_rec_sfr: 0.2376 (0.2058) loss_cl: -0.3678 (-0.3668) time: 0.9567 data: 0.0005 max mem: 29859 [10:00:53.768113] Epoch: [32] [540/850] eta: 0:04:36 lr: 0.001958 loss: 0.1067 (0.1087) loss_rec_all: 0.1421 (0.1439) loss_rec_sfr: 0.1808 (0.2055) loss_cl: -0.3663 (-0.3667) time: 0.9108 data: 0.0005 max mem: 29859 [10:01:12.578673] Epoch: [32] [560/850] eta: 0:04:19 lr: 0.001960 loss: 0.1035 (0.1086) loss_rec_all: 0.1385 (0.1438) loss_rec_sfr: 0.2179 (0.2055) loss_cl: -0.3657 (-0.3667) time: 0.9404 data: 0.0004 max mem: 29859 [10:01:30.497941] Epoch: [32] [580/850] eta: 0:04:01 lr: 0.001961 loss: 0.1011 (0.1084) loss_rec_all: 0.1360 (0.1436) loss_rec_sfr: 0.1856 (0.2051) loss_cl: -0.3665 (-0.3667) time: 0.8959 data: 0.0004 max mem: 29859 [10:01:48.065751] Epoch: [32] [600/850] eta: 0:03:43 lr: 0.001962 loss: 0.1015 (0.1083) loss_rec_all: 0.1371 (0.1435) loss_rec_sfr: 0.1962 (0.2047) loss_cl: -0.3675 (-0.3667) time: 0.8783 data: 0.0002 max mem: 29859 [10:02:05.807426] Epoch: [32] [620/850] eta: 0:03:25 lr: 0.001963 loss: 0.1084 (0.1083) loss_rec_all: 0.1437 (0.1436) loss_rec_sfr: 0.1823 (0.2047) loss_cl: -0.3670 (-0.3667) time: 0.8870 data: 0.0004 max mem: 29859 [10:02:23.108124] Epoch: [32] [640/850] eta: 0:03:07 lr: 0.001965 loss: 0.1134 (0.1085) loss_rec_all: 0.1488 (0.1438) loss_rec_sfr: 0.2196 (0.2049) loss_cl: -0.3661 (-0.3667) time: 0.8650 data: 0.0002 max mem: 29859 [10:02:40.418621] Epoch: [32] [660/850] eta: 0:02:49 lr: 0.001966 loss: 0.1121 (0.1086) loss_rec_all: 0.1467 (0.1438) loss_rec_sfr: 0.2324 (0.2056) loss_cl: -0.3663 (-0.3667) time: 0.8654 data: 0.0002 max mem: 29859 [10:02:57.897510] Epoch: [32] [680/850] eta: 0:02:31 lr: 0.001968 loss: 0.1052 (0.1086) loss_rec_all: 0.1407 (0.1438) loss_rec_sfr: 0.2260 (0.2059) loss_cl: -0.3665 (-0.3667) time: 0.8739 data: 0.0004 max mem: 29859 [10:03:15.150573] Epoch: [32] [700/850] eta: 0:02:13 lr: 0.001969 loss: 0.1040 (0.1085) loss_rec_all: 0.1391 (0.1437) loss_rec_sfr: 0.1829 (0.2055) loss_cl: -0.3673 (-0.3667) time: 0.8626 data: 0.0002 max mem: 29859 [10:03:32.472026] Epoch: [32] [720/850] eta: 0:01:55 lr: 0.001971 loss: 0.1101 (0.1086) loss_rec_all: 0.1445 (0.1438) loss_rec_sfr: 0.1873 (0.2057) loss_cl: -0.3667 (-0.3667) time: 0.8660 data: 0.0003 max mem: 29859 [10:03:49.798368] Epoch: [32] [740/850] eta: 0:01:37 lr: 0.001972 loss: 0.1128 (0.1088) loss_rec_all: 0.1476 (0.1440) loss_rec_sfr: 0.2234 (0.2065) loss_cl: -0.3671 (-0.3667) time: 0.8663 data: 0.0003 max mem: 29859 [10:04:07.703385] Epoch: [32] [760/850] eta: 0:01:20 lr: 0.001974 loss: 0.1050 (0.1087) loss_rec_all: 0.1404 (0.1439) loss_rec_sfr: 0.1751 (0.2062) loss_cl: -0.3670 (-0.3667) time: 0.8950 data: 0.0004 max mem: 29859 [10:04:25.024674] Epoch: [32] [780/850] eta: 0:01:02 lr: 0.001975 loss: 0.0996 (0.1086) loss_rec_all: 0.1346 (0.1438) loss_rec_sfr: 0.1617 (0.2056) loss_cl: -0.3668 (-0.3667) time: 0.8660 data: 0.0004 max mem: 29859 [10:04:42.443240] Epoch: [32] [800/850] eta: 0:00:44 lr: 0.001976 loss: 0.1004 (0.1084) loss_rec_all: 0.1361 (0.1437) loss_rec_sfr: 0.1788 (0.2052) loss_cl: -0.3674 (-0.3667) time: 0.8709 data: 0.0002 max mem: 29859 [10:04:59.779415] Epoch: [32] [820/850] eta: 0:00:26 lr: 0.001978 loss: 0.1037 (0.1084) loss_rec_all: 0.1390 (0.1436) loss_rec_sfr: 0.2153 (0.2052) loss_cl: -0.3663 (-0.3667) time: 0.8668 data: 0.0003 max mem: 29859 [10:05:17.058671] Epoch: [32] [840/850] eta: 0:00:08 lr: 0.001979 loss: 0.1098 (0.1084) loss_rec_all: 0.1455 (0.1437) loss_rec_sfr: 0.1818 (0.2051) loss_cl: -0.3661 (-0.3667) time: 0.8639 data: 0.0006 max mem: 29859 [10:05:24.817066] Epoch: [32] [849/850] eta: 0:00:00 lr: 0.001980 loss: 0.1106 (0.1084) loss_rec_all: 0.1461 (0.1437) loss_rec_sfr: 0.1940 (0.2053) loss_cl: -0.3668 (-0.3667) time: 0.8634 data: 0.0005 max mem: 29859 [10:05:24.992842] Epoch: [32] Total time: 0:12:34 (0.8875 s / it) [10:05:25.008180] Averaged stats: lr: 0.001980 loss: 0.1106 (0.1085) loss_rec_all: 0.1461 (0.1438) loss_rec_sfr: 0.1940 (0.2064) loss_cl: -0.3668 (-0.3667) [10:05:25.013621] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [10:05:30.530656] Epoch: [33] [ 0/850] eta: 1:18:08 lr: 0.001980 loss: 0.1115 (0.1115) loss_rec_all: 0.1468 (0.1468) loss_rec_sfr: 0.1933 (0.1933) loss_cl: -0.3665 (-0.3665) time: 5.5157 data: 3.2486 max mem: 29859 [10:05:47.750404] Epoch: [33] [ 20/850] eta: 0:14:58 lr: 0.001981 loss: 0.1067 (0.1077) loss_rec_all: 0.1417 (0.1429) loss_rec_sfr: 0.1898 (0.2051) loss_cl: -0.3668 (-0.3668) time: 0.8609 data: 0.0002 max mem: 29859 [10:06:05.359591] Epoch: [33] [ 40/850] eta: 0:13:17 lr: 0.001983 loss: 0.1043 (0.1078) loss_rec_all: 0.1396 (0.1431) loss_rec_sfr: 0.1994 (0.2032) loss_cl: -0.3673 (-0.3670) time: 0.8804 data: 0.0004 max mem: 29859 [10:06:22.548526] Epoch: [33] [ 60/850] eta: 0:12:25 lr: 0.001984 loss: 0.1081 (0.1087) loss_rec_all: 0.1429 (0.1439) loss_rec_sfr: 0.2446 (0.2108) loss_cl: -0.3665 (-0.3668) time: 0.8594 data: 0.0002 max mem: 29859 [10:06:40.006592] Epoch: [33] [ 80/850] eta: 0:11:52 lr: 0.001986 loss: 0.1039 (0.1083) loss_rec_all: 0.1396 (0.1435) loss_rec_sfr: 0.2219 (0.2089) loss_cl: -0.3665 (-0.3667) time: 0.8729 data: 0.0002 max mem: 29859 [10:06:57.324672] Epoch: [33] [100/850] eta: 0:11:25 lr: 0.001987 loss: 0.1014 (0.1076) loss_rec_all: 0.1368 (0.1428) loss_rec_sfr: 0.2186 (0.2085) loss_cl: -0.3665 (-0.3667) time: 0.8659 data: 0.0002 max mem: 29859 [10:07:14.674309] Epoch: [33] [120/850] eta: 0:11:01 lr: 0.001988 loss: 0.1004 (0.1065) loss_rec_all: 0.1354 (0.1418) loss_rec_sfr: 0.1692 (0.2054) loss_cl: -0.3672 (-0.3667) time: 0.8674 data: 0.0002 max mem: 29859 [10:07:31.892390] Epoch: [33] [140/850] eta: 0:10:38 lr: 0.001990 loss: 0.1027 (0.1064) loss_rec_all: 0.1381 (0.1416) loss_rec_sfr: 0.1706 (0.2029) loss_cl: -0.3670 (-0.3667) time: 0.8608 data: 0.0002 max mem: 29859 [10:07:49.388820] Epoch: [33] [160/850] eta: 0:10:18 lr: 0.001991 loss: 0.0980 (0.1056) loss_rec_all: 0.1337 (0.1408) loss_rec_sfr: 0.1736 (0.2010) loss_cl: -0.3674 (-0.3668) time: 0.8746 data: 0.0003 max mem: 29859 [10:08:06.917365] Epoch: [33] [180/850] eta: 0:09:59 lr: 0.001992 loss: 0.0982 (0.1050) loss_rec_all: 0.1331 (0.1402) loss_rec_sfr: 0.2246 (0.2022) loss_cl: -0.3662 (-0.3667) time: 0.8763 data: 0.0003 max mem: 29859 [10:08:24.179098] Epoch: [33] [200/850] eta: 0:09:39 lr: 0.001994 loss: 0.1104 (0.1058) loss_rec_all: 0.1460 (0.1410) loss_rec_sfr: 0.1930 (0.2028) loss_cl: -0.3667 (-0.3667) time: 0.8630 data: 0.0002 max mem: 29859 [10:08:41.635978] Epoch: [33] [220/850] eta: 0:09:20 lr: 0.001995 loss: 0.1092 (0.1063) loss_rec_all: 0.1442 (0.1416) loss_rec_sfr: 0.2074 (0.2039) loss_cl: -0.3671 (-0.3668) time: 0.8727 data: 0.0003 max mem: 29859 [10:08:59.263899] Epoch: [33] [240/850] eta: 0:09:02 lr: 0.001997 loss: 0.1041 (0.1063) loss_rec_all: 0.1390 (0.1416) loss_rec_sfr: 0.1874 (0.2036) loss_cl: -0.3672 (-0.3668) time: 0.8813 data: 0.0003 max mem: 29859 [10:09:16.531631] Epoch: [33] [260/850] eta: 0:08:43 lr: 0.001998 loss: 0.1035 (0.1062) loss_rec_all: 0.1390 (0.1414) loss_rec_sfr: 0.1776 (0.2030) loss_cl: -0.3665 (-0.3668) time: 0.8633 data: 0.0002 max mem: 29859 [10:09:34.202358] Epoch: [33] [280/850] eta: 0:08:25 lr: 0.002000 loss: 0.1036 (0.1061) loss_rec_all: 0.1389 (0.1413) loss_rec_sfr: 0.2241 (0.2045) loss_cl: -0.3664 (-0.3667) time: 0.8835 data: 0.0003 max mem: 29859 [10:09:51.995587] Epoch: [33] [300/850] eta: 0:08:07 lr: 0.002001 loss: 0.1026 (0.1058) loss_rec_all: 0.1375 (0.1411) loss_rec_sfr: 0.2163 (0.2051) loss_cl: -0.3669 (-0.3667) time: 0.8896 data: 0.0003 max mem: 29859 [10:10:09.944985] Epoch: [33] [320/850] eta: 0:07:50 lr: 0.002003 loss: 0.1031 (0.1060) loss_rec_all: 0.1387 (0.1412) loss_rec_sfr: 0.2166 (0.2057) loss_cl: -0.3671 (-0.3668) time: 0.8974 data: 0.0003 max mem: 29859 [10:10:27.199678] Epoch: [33] [340/850] eta: 0:07:31 lr: 0.002004 loss: 0.0988 (0.1057) loss_rec_all: 0.1338 (0.1410) loss_rec_sfr: 0.2174 (0.2057) loss_cl: -0.3668 (-0.3668) time: 0.8627 data: 0.0002 max mem: 29859 [10:10:44.554704] Epoch: [33] [360/850] eta: 0:07:13 lr: 0.002005 loss: 0.0979 (0.1054) loss_rec_all: 0.1328 (0.1407) loss_rec_sfr: 0.1740 (0.2049) loss_cl: -0.3669 (-0.3668) time: 0.8677 data: 0.0002 max mem: 29859 [10:11:02.070578] Epoch: [33] [380/850] eta: 0:06:55 lr: 0.002007 loss: 0.1093 (0.1059) loss_rec_all: 0.1449 (0.1411) loss_rec_sfr: 0.2191 (0.2052) loss_cl: -0.3665 (-0.3668) time: 0.8758 data: 0.0002 max mem: 29859 [10:11:19.477464] Epoch: [33] [400/850] eta: 0:06:37 lr: 0.002008 loss: 0.1079 (0.1062) loss_rec_all: 0.1433 (0.1414) loss_rec_sfr: 0.2280 (0.2055) loss_cl: -0.3670 (-0.3668) time: 0.8703 data: 0.0002 max mem: 29859 [10:11:36.832076] Epoch: [33] [420/850] eta: 0:06:19 lr: 0.002009 loss: 0.1030 (0.1060) loss_rec_all: 0.1378 (0.1413) loss_rec_sfr: 0.2224 (0.2059) loss_cl: -0.3668 (-0.3668) time: 0.8677 data: 0.0003 max mem: 29859 [10:11:54.752130] Epoch: [33] [440/850] eta: 0:06:02 lr: 0.002011 loss: 0.1006 (0.1059) loss_rec_all: 0.1357 (0.1412) loss_rec_sfr: 0.2051 (0.2057) loss_cl: -0.3672 (-0.3668) time: 0.8959 data: 0.0004 max mem: 29859 [10:12:12.290320] Epoch: [33] [460/850] eta: 0:05:44 lr: 0.002012 loss: 0.1039 (0.1060) loss_rec_all: 0.1387 (0.1412) loss_rec_sfr: 0.1793 (0.2052) loss_cl: -0.3658 (-0.3668) time: 0.8768 data: 0.0004 max mem: 29859 [10:12:29.645304] Epoch: [33] [480/850] eta: 0:05:26 lr: 0.002014 loss: 0.1066 (0.1060) loss_rec_all: 0.1422 (0.1413) loss_rec_sfr: 0.2201 (0.2056) loss_cl: -0.3666 (-0.3668) time: 0.8676 data: 0.0003 max mem: 29859 [10:12:47.044541] Epoch: [33] [500/850] eta: 0:05:08 lr: 0.002015 loss: 0.1029 (0.1060) loss_rec_all: 0.1383 (0.1412) loss_rec_sfr: 0.1880 (0.2057) loss_cl: -0.3653 (-0.3668) time: 0.8699 data: 0.0003 max mem: 29859 [10:13:05.157302] Epoch: [33] [520/850] eta: 0:04:51 lr: 0.002017 loss: 0.1043 (0.1060) loss_rec_all: 0.1392 (0.1412) loss_rec_sfr: 0.2111 (0.2055) loss_cl: -0.3655 (-0.3667) time: 0.9055 data: 0.0004 max mem: 29859 [10:13:22.548284] Epoch: [33] [540/850] eta: 0:04:33 lr: 0.002018 loss: 0.1037 (0.1060) loss_rec_all: 0.1389 (0.1413) loss_rec_sfr: 0.2232 (0.2055) loss_cl: -0.3661 (-0.3667) time: 0.8695 data: 0.0005 max mem: 29859 [10:13:40.062703] Epoch: [33] [560/850] eta: 0:04:15 lr: 0.002020 loss: 0.1090 (0.1063) loss_rec_all: 0.1440 (0.1415) loss_rec_sfr: 0.1805 (0.2056) loss_cl: -0.3680 (-0.3667) time: 0.8757 data: 0.0003 max mem: 29859 [10:13:57.709160] Epoch: [33] [580/850] eta: 0:03:58 lr: 0.002021 loss: 0.1027 (0.1063) loss_rec_all: 0.1384 (0.1415) loss_rec_sfr: 0.1691 (0.2048) loss_cl: -0.3683 (-0.3668) time: 0.8823 data: 0.0003 max mem: 29859 [10:14:15.284557] Epoch: [33] [600/850] eta: 0:03:40 lr: 0.002022 loss: 0.1021 (0.1062) loss_rec_all: 0.1372 (0.1414) loss_rec_sfr: 0.1720 (0.2042) loss_cl: -0.3673 (-0.3668) time: 0.8787 data: 0.0004 max mem: 29859 [10:14:32.678961] Epoch: [33] [620/850] eta: 0:03:22 lr: 0.002023 loss: 0.0978 (0.1059) loss_rec_all: 0.1334 (0.1412) loss_rec_sfr: 0.1749 (0.2039) loss_cl: -0.3659 (-0.3668) time: 0.8696 data: 0.0003 max mem: 29859 [10:14:50.421404] Epoch: [33] [640/850] eta: 0:03:05 lr: 0.002025 loss: 0.1006 (0.1058) loss_rec_all: 0.1353 (0.1411) loss_rec_sfr: 0.1734 (0.2036) loss_cl: -0.3652 (-0.3667) time: 0.8870 data: 0.0005 max mem: 29859 [10:15:07.885171] Epoch: [33] [660/850] eta: 0:02:47 lr: 0.002026 loss: 0.1032 (0.1058) loss_rec_all: 0.1386 (0.1410) loss_rec_sfr: 0.2098 (0.2039) loss_cl: -0.3659 (-0.3667) time: 0.8731 data: 0.0003 max mem: 29859 [10:15:25.664360] Epoch: [33] [680/850] eta: 0:02:29 lr: 0.002028 loss: 0.1013 (0.1058) loss_rec_all: 0.1364 (0.1410) loss_rec_sfr: 0.2222 (0.2043) loss_cl: -0.3676 (-0.3667) time: 0.8889 data: 0.0004 max mem: 29859 [10:15:43.342740] Epoch: [33] [700/850] eta: 0:02:12 lr: 0.002029 loss: 0.1002 (0.1057) loss_rec_all: 0.1355 (0.1409) loss_rec_sfr: 0.1706 (0.2038) loss_cl: -0.3665 (-0.3667) time: 0.8838 data: 0.0005 max mem: 29859 [10:16:05.655388] Epoch: [33] [720/850] eta: 0:01:55 lr: 0.002031 loss: 0.1022 (0.1056) loss_rec_all: 0.1378 (0.1409) loss_rec_sfr: 0.2280 (0.2041) loss_cl: -0.3664 (-0.3667) time: 1.1155 data: 0.0005 max mem: 29859 [10:16:22.986738] Epoch: [33] [740/850] eta: 0:01:37 lr: 0.002032 loss: 0.0980 (0.1055) loss_rec_all: 0.1335 (0.1407) loss_rec_sfr: 0.1734 (0.2041) loss_cl: -0.3666 (-0.3667) time: 0.8665 data: 0.0003 max mem: 29859 [10:16:40.542494] Epoch: [33] [760/850] eta: 0:01:19 lr: 0.002034 loss: 0.0999 (0.1054) loss_rec_all: 0.1352 (0.1406) loss_rec_sfr: 0.1791 (0.2040) loss_cl: -0.3666 (-0.3667) time: 0.8776 data: 0.0003 max mem: 29859 [10:16:58.265630] Epoch: [33] [780/850] eta: 0:01:02 lr: 0.002035 loss: 0.1014 (0.1053) loss_rec_all: 0.1364 (0.1406) loss_rec_sfr: 0.1740 (0.2038) loss_cl: -0.3670 (-0.3667) time: 0.8861 data: 0.0004 max mem: 29859 [10:17:15.965211] Epoch: [33] [800/850] eta: 0:00:44 lr: 0.002036 loss: 0.1042 (0.1053) loss_rec_all: 0.1392 (0.1406) loss_rec_sfr: 0.1779 (0.2037) loss_cl: -0.3674 (-0.3667) time: 0.8849 data: 0.0003 max mem: 29859 [10:17:33.715950] Epoch: [33] [820/850] eta: 0:00:26 lr: 0.002038 loss: 0.1101 (0.1055) loss_rec_all: 0.1455 (0.1407) loss_rec_sfr: 0.1951 (0.2039) loss_cl: -0.3663 (-0.3667) time: 0.8874 data: 0.0005 max mem: 29859 [10:17:51.442554] Epoch: [33] [840/850] eta: 0:00:08 lr: 0.002039 loss: 0.1069 (0.1056) loss_rec_all: 0.1420 (0.1408) loss_rec_sfr: 0.1827 (0.2038) loss_cl: -0.3660 (-0.3667) time: 0.8862 data: 0.0008 max mem: 29859 [10:17:59.700309] Epoch: [33] [849/850] eta: 0:00:00 lr: 0.002040 loss: 0.1076 (0.1056) loss_rec_all: 0.1427 (0.1409) loss_rec_sfr: 0.2090 (0.2041) loss_cl: -0.3660 (-0.3667) time: 0.9014 data: 0.0007 max mem: 29859 [10:17:59.926130] Epoch: [33] Total time: 0:12:34 (0.8881 s / it) [10:17:59.966978] Averaged stats: lr: 0.002040 loss: 0.1076 (0.1054) loss_rec_all: 0.1427 (0.1406) loss_rec_sfr: 0.2090 (0.2031) loss_cl: -0.3660 (-0.3667) [10:17:59.974609] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [10:18:05.770146] Epoch: [34] [ 0/850] eta: 1:22:04 lr: 0.002040 loss: 0.0969 (0.0969) loss_rec_all: 0.1325 (0.1325) loss_rec_sfr: 0.1428 (0.1428) loss_cl: -0.3660 (-0.3660) time: 5.7930 data: 3.9484 max mem: 29859 [10:18:23.648751] Epoch: [34] [ 20/850] eta: 0:15:35 lr: 0.002041 loss: 0.1012 (0.1037) loss_rec_all: 0.1368 (0.1389) loss_rec_sfr: 0.2200 (0.2112) loss_cl: -0.3667 (-0.3667) time: 0.8939 data: 0.0003 max mem: 29859 [10:18:41.325897] Epoch: [34] [ 40/850] eta: 0:13:36 lr: 0.002043 loss: 0.1095 (0.1074) loss_rec_all: 0.1449 (0.1426) loss_rec_sfr: 0.2105 (0.2121) loss_cl: -0.3676 (-0.3671) time: 0.8836 data: 0.0005 max mem: 29859 [10:19:00.646515] Epoch: [34] [ 60/850] eta: 0:13:05 lr: 0.002044 loss: 0.1111 (0.1101) loss_rec_all: 0.1459 (0.1453) loss_rec_sfr: 0.1861 (0.2127) loss_cl: -0.3674 (-0.3672) time: 0.9660 data: 0.0005 max mem: 29859 [10:19:18.165125] Epoch: [34] [ 80/850] eta: 0:12:23 lr: 0.002046 loss: 0.1055 (0.1091) loss_rec_all: 0.1405 (0.1443) loss_rec_sfr: 0.2060 (0.2101) loss_cl: -0.3668 (-0.3671) time: 0.8759 data: 0.0003 max mem: 29859 [10:19:35.662196] Epoch: [34] [100/850] eta: 0:11:50 lr: 0.002047 loss: 0.1014 (0.1080) loss_rec_all: 0.1364 (0.1432) loss_rec_sfr: 0.1940 (0.2083) loss_cl: -0.3664 (-0.3670) time: 0.8748 data: 0.0002 max mem: 29859 [10:19:53.652514] Epoch: [34] [120/850] eta: 0:11:25 lr: 0.002048 loss: 0.1015 (0.1072) loss_rec_all: 0.1366 (0.1424) loss_rec_sfr: 0.2150 (0.2071) loss_cl: -0.3669 (-0.3669) time: 0.8994 data: 0.0005 max mem: 29859 [10:20:12.410657] Epoch: [34] [140/850] eta: 0:11:06 lr: 0.002050 loss: 0.0975 (0.1060) loss_rec_all: 0.1331 (0.1413) loss_rec_sfr: 0.2172 (0.2055) loss_cl: -0.3666 (-0.3669) time: 0.9378 data: 0.0003 max mem: 29859 [10:20:30.092458] Epoch: [34] [160/850] eta: 0:10:43 lr: 0.002051 loss: 0.0962 (0.1050) loss_rec_all: 0.1317 (0.1402) loss_rec_sfr: 0.1674 (0.2037) loss_cl: -0.3665 (-0.3668) time: 0.8840 data: 0.0005 max mem: 29859 [10:20:47.672784] Epoch: [34] [180/850] eta: 0:10:20 lr: 0.002052 loss: 0.1101 (0.1057) loss_rec_all: 0.1450 (0.1410) loss_rec_sfr: 0.1792 (0.2028) loss_cl: -0.3662 (-0.3668) time: 0.8790 data: 0.0003 max mem: 29859 [10:21:05.514896] Epoch: [34] [200/850] eta: 0:09:59 lr: 0.002054 loss: 0.1099 (0.1065) loss_rec_all: 0.1453 (0.1417) loss_rec_sfr: 0.2221 (0.2047) loss_cl: -0.3668 (-0.3668) time: 0.8920 data: 0.0004 max mem: 29859 [10:21:22.856510] Epoch: [34] [220/850] eta: 0:09:38 lr: 0.002055 loss: 0.1061 (0.1067) loss_rec_all: 0.1415 (0.1420) loss_rec_sfr: 0.2026 (0.2046) loss_cl: -0.3666 (-0.3667) time: 0.8670 data: 0.0002 max mem: 29859 [10:21:40.521267] Epoch: [34] [240/850] eta: 0:09:18 lr: 0.002057 loss: 0.1059 (0.1068) loss_rec_all: 0.1411 (0.1420) loss_rec_sfr: 0.2235 (0.2062) loss_cl: -0.3670 (-0.3668) time: 0.8832 data: 0.0002 max mem: 29859 [10:21:58.243375] Epoch: [34] [260/850] eta: 0:08:58 lr: 0.002058 loss: 0.1102 (0.1071) loss_rec_all: 0.1456 (0.1423) loss_rec_sfr: 0.2447 (0.2077) loss_cl: -0.3676 (-0.3668) time: 0.8860 data: 0.0005 max mem: 29859 [10:22:15.840739] Epoch: [34] [280/850] eta: 0:08:38 lr: 0.002060 loss: 0.1032 (0.1070) loss_rec_all: 0.1386 (0.1422) loss_rec_sfr: 0.1772 (0.2072) loss_cl: -0.3675 (-0.3669) time: 0.8798 data: 0.0002 max mem: 29859 [10:22:33.164579] Epoch: [34] [300/850] eta: 0:08:19 lr: 0.002061 loss: 0.0997 (0.1067) loss_rec_all: 0.1348 (0.1419) loss_rec_sfr: 0.1776 (0.2059) loss_cl: -0.3661 (-0.3668) time: 0.8661 data: 0.0002 max mem: 29859 [10:22:50.507308] Epoch: [34] [320/850] eta: 0:07:59 lr: 0.002063 loss: 0.1003 (0.1064) loss_rec_all: 0.1350 (0.1416) loss_rec_sfr: 0.2151 (0.2060) loss_cl: -0.3650 (-0.3667) time: 0.8670 data: 0.0002 max mem: 29859 [10:23:08.459010] Epoch: [34] [340/850] eta: 0:07:41 lr: 0.002064 loss: 0.0937 (0.1058) loss_rec_all: 0.1294 (0.1410) loss_rec_sfr: 0.2053 (0.2051) loss_cl: -0.3660 (-0.3667) time: 0.8974 data: 0.0006 max mem: 29859 [10:23:26.303204] Epoch: [34] [360/850] eta: 0:07:22 lr: 0.002065 loss: 0.0957 (0.1054) loss_rec_all: 0.1314 (0.1406) loss_rec_sfr: 0.1793 (0.2046) loss_cl: -0.3677 (-0.3667) time: 0.8921 data: 0.0003 max mem: 29859 [10:23:43.952451] Epoch: [34] [380/850] eta: 0:07:04 lr: 0.002067 loss: 0.0987 (0.1052) loss_rec_all: 0.1340 (0.1404) loss_rec_sfr: 0.2098 (0.2048) loss_cl: -0.3681 (-0.3668) time: 0.8823 data: 0.0005 max mem: 29859 [10:24:01.609812] Epoch: [34] [400/850] eta: 0:06:45 lr: 0.002068 loss: 0.0954 (0.1048) loss_rec_all: 0.1310 (0.1400) loss_rec_sfr: 0.1723 (0.2037) loss_cl: -0.3675 (-0.3668) time: 0.8827 data: 0.0005 max mem: 29859 [10:24:19.062721] Epoch: [34] [420/850] eta: 0:06:27 lr: 0.002069 loss: 0.1043 (0.1048) loss_rec_all: 0.1396 (0.1401) loss_rec_sfr: 0.1960 (0.2034) loss_cl: -0.3660 (-0.3668) time: 0.8726 data: 0.0003 max mem: 29859 [10:24:36.585606] Epoch: [34] [440/850] eta: 0:06:08 lr: 0.002071 loss: 0.0989 (0.1046) loss_rec_all: 0.1339 (0.1399) loss_rec_sfr: 0.1870 (0.2032) loss_cl: -0.3662 (-0.3667) time: 0.8761 data: 0.0003 max mem: 29859 [10:24:54.091621] Epoch: [34] [460/850] eta: 0:05:50 lr: 0.002072 loss: 0.0969 (0.1044) loss_rec_all: 0.1325 (0.1396) loss_rec_sfr: 0.1800 (0.2028) loss_cl: -0.3673 (-0.3668) time: 0.8752 data: 0.0003 max mem: 29859 [10:25:11.844542] Epoch: [34] [480/850] eta: 0:05:32 lr: 0.002074 loss: 0.1008 (0.1043) loss_rec_all: 0.1364 (0.1395) loss_rec_sfr: 0.1931 (0.2031) loss_cl: -0.3676 (-0.3668) time: 0.8876 data: 0.0003 max mem: 29859 [10:25:29.357970] Epoch: [34] [500/850] eta: 0:05:13 lr: 0.002075 loss: 0.1019 (0.1042) loss_rec_all: 0.1371 (0.1395) loss_rec_sfr: 0.2219 (0.2033) loss_cl: -0.3657 (-0.3668) time: 0.8756 data: 0.0002 max mem: 29859 [10:25:47.070673] Epoch: [34] [520/850] eta: 0:04:55 lr: 0.002077 loss: 0.0967 (0.1042) loss_rec_all: 0.1323 (0.1394) loss_rec_sfr: 0.1665 (0.2029) loss_cl: -0.3660 (-0.3667) time: 0.8856 data: 0.0003 max mem: 29859 [10:26:04.789073] Epoch: [34] [540/850] eta: 0:04:37 lr: 0.002078 loss: 0.0936 (0.1039) loss_rec_all: 0.1295 (0.1392) loss_rec_sfr: 0.1774 (0.2025) loss_cl: -0.3672 (-0.3668) time: 0.8859 data: 0.0002 max mem: 29859 [10:26:22.242080] Epoch: [34] [560/850] eta: 0:04:19 lr: 0.002080 loss: 0.0964 (0.1036) loss_rec_all: 0.1318 (0.1389) loss_rec_sfr: 0.1869 (0.2024) loss_cl: -0.3678 (-0.3668) time: 0.8726 data: 0.0002 max mem: 29859 [10:26:39.568815] Epoch: [34] [580/850] eta: 0:04:01 lr: 0.002081 loss: 0.0970 (0.1035) loss_rec_all: 0.1324 (0.1388) loss_rec_sfr: 0.2093 (0.2024) loss_cl: -0.3674 (-0.3668) time: 0.8663 data: 0.0002 max mem: 29859 [10:26:56.926368] Epoch: [34] [600/850] eta: 0:03:43 lr: 0.002082 loss: 0.0969 (0.1033) loss_rec_all: 0.1323 (0.1386) loss_rec_sfr: 0.1713 (0.2020) loss_cl: -0.3666 (-0.3668) time: 0.8678 data: 0.0002 max mem: 29859 [10:27:14.457692] Epoch: [34] [620/850] eta: 0:03:25 lr: 0.002083 loss: 0.1023 (0.1034) loss_rec_all: 0.1377 (0.1386) loss_rec_sfr: 0.1965 (0.2021) loss_cl: -0.3665 (-0.3668) time: 0.8765 data: 0.0002 max mem: 29859 [10:27:31.754921] Epoch: [34] [640/850] eta: 0:03:07 lr: 0.002085 loss: 0.1026 (0.1035) loss_rec_all: 0.1382 (0.1387) loss_rec_sfr: 0.1761 (0.2019) loss_cl: -0.3665 (-0.3668) time: 0.8648 data: 0.0002 max mem: 29859 [10:27:49.061348] Epoch: [34] [660/850] eta: 0:02:49 lr: 0.002086 loss: 0.1021 (0.1035) loss_rec_all: 0.1375 (0.1388) loss_rec_sfr: 0.2195 (0.2019) loss_cl: -0.3679 (-0.3668) time: 0.8653 data: 0.0002 max mem: 29859 [10:28:06.680559] Epoch: [34] [680/850] eta: 0:02:31 lr: 0.002088 loss: 0.1004 (0.1035) loss_rec_all: 0.1355 (0.1388) loss_rec_sfr: 0.1879 (0.2019) loss_cl: -0.3663 (-0.3668) time: 0.8809 data: 0.0003 max mem: 29859 [10:28:24.001421] Epoch: [34] [700/850] eta: 0:02:13 lr: 0.002089 loss: 0.0955 (0.1033) loss_rec_all: 0.1304 (0.1386) loss_rec_sfr: 0.1615 (0.2014) loss_cl: -0.3662 (-0.3668) time: 0.8660 data: 0.0003 max mem: 29859 [10:28:41.709477] Epoch: [34] [720/850] eta: 0:01:55 lr: 0.002091 loss: 0.0970 (0.1032) loss_rec_all: 0.1321 (0.1385) loss_rec_sfr: 0.1704 (0.2010) loss_cl: -0.3664 (-0.3668) time: 0.8853 data: 0.0003 max mem: 29859 [10:28:59.177604] Epoch: [34] [740/850] eta: 0:01:37 lr: 0.002092 loss: 0.1084 (0.1034) loss_rec_all: 0.1435 (0.1387) loss_rec_sfr: 0.2065 (0.2012) loss_cl: -0.3666 (-0.3668) time: 0.8733 data: 0.0004 max mem: 29859 [10:29:18.819500] Epoch: [34] [760/850] eta: 0:01:20 lr: 0.002094 loss: 0.1063 (0.1035) loss_rec_all: 0.1420 (0.1388) loss_rec_sfr: 0.1767 (0.2012) loss_cl: -0.3662 (-0.3668) time: 0.9820 data: 0.0005 max mem: 29859 [10:29:37.078448] Epoch: [34] [780/850] eta: 0:01:02 lr: 0.002095 loss: 0.1062 (0.1037) loss_rec_all: 0.1412 (0.1389) loss_rec_sfr: 0.2142 (0.2016) loss_cl: -0.3672 (-0.3668) time: 0.9128 data: 0.0005 max mem: 29859 [10:29:55.588276] Epoch: [34] [800/850] eta: 0:00:44 lr: 0.002096 loss: 0.0959 (0.1035) loss_rec_all: 0.1316 (0.1388) loss_rec_sfr: 0.1480 (0.2012) loss_cl: -0.3676 (-0.3668) time: 0.9254 data: 0.0004 max mem: 29859 [10:30:13.500711] Epoch: [34] [820/850] eta: 0:00:26 lr: 0.002098 loss: 0.0957 (0.1034) loss_rec_all: 0.1310 (0.1387) loss_rec_sfr: 0.1825 (0.2010) loss_cl: -0.3667 (-0.3668) time: 0.8955 data: 0.0004 max mem: 29859 [10:30:31.077020] Epoch: [34] [840/850] eta: 0:00:08 lr: 0.002099 loss: 0.0978 (0.1033) loss_rec_all: 0.1328 (0.1386) loss_rec_sfr: 0.1769 (0.2007) loss_cl: -0.3662 (-0.3668) time: 0.8787 data: 0.0007 max mem: 29859 [10:30:38.956273] Epoch: [34] [849/850] eta: 0:00:00 lr: 0.002100 loss: 0.0978 (0.1033) loss_rec_all: 0.1328 (0.1386) loss_rec_sfr: 0.2114 (0.2007) loss_cl: -0.3666 (-0.3668) time: 0.8792 data: 0.0006 max mem: 29859 [10:30:39.186638] Epoch: [34] Total time: 0:12:39 (0.8932 s / it) [10:30:39.196475] Averaged stats: lr: 0.002100 loss: 0.0978 (0.1033) loss_rec_all: 0.1328 (0.1385) loss_rec_sfr: 0.2114 (0.1997) loss_cl: -0.3666 (-0.3667) [10:30:39.216037] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [10:30:45.674915] Epoch: [35] [ 0/850] eta: 1:31:29 lr: 0.002100 loss: 0.0915 (0.0915) loss_rec_all: 0.1272 (0.1272) loss_rec_sfr: 0.1366 (0.1366) loss_cl: -0.3661 (-0.3661) time: 6.4581 data: 5.3316 max mem: 29859 [10:31:03.061796] Epoch: [35] [ 20/850] eta: 0:15:42 lr: 0.002101 loss: 0.0989 (0.0992) loss_rec_all: 0.1340 (0.1346) loss_rec_sfr: 0.1848 (0.1939) loss_cl: -0.3672 (-0.3671) time: 0.8692 data: 0.0003 max mem: 29859 [10:31:20.786895] Epoch: [35] [ 40/850] eta: 0:13:41 lr: 0.002103 loss: 0.0996 (0.1001) loss_rec_all: 0.1352 (0.1355) loss_rec_sfr: 0.1736 (0.1908) loss_cl: -0.3675 (-0.3673) time: 0.8862 data: 0.0004 max mem: 29859 [10:31:37.989653] Epoch: [35] [ 60/850] eta: 0:12:41 lr: 0.002104 loss: 0.0988 (0.1002) loss_rec_all: 0.1343 (0.1355) loss_rec_sfr: 0.2028 (0.1948) loss_cl: -0.3659 (-0.3668) time: 0.8601 data: 0.0002 max mem: 29859 [10:31:55.509557] Epoch: [35] [ 80/850] eta: 0:12:05 lr: 0.002106 loss: 0.0948 (0.0995) loss_rec_all: 0.1299 (0.1348) loss_rec_sfr: 0.1692 (0.1930) loss_cl: -0.3664 (-0.3667) time: 0.8759 data: 0.0005 max mem: 29859 [10:32:13.156741] Epoch: [35] [100/850] eta: 0:11:37 lr: 0.002107 loss: 0.0991 (0.1000) loss_rec_all: 0.1340 (0.1353) loss_rec_sfr: 0.1588 (0.1920) loss_cl: -0.3662 (-0.3666) time: 0.8822 data: 0.0003 max mem: 29859 [10:32:31.006918] Epoch: [35] [120/850] eta: 0:11:14 lr: 0.002108 loss: 0.1047 (0.1009) loss_rec_all: 0.1396 (0.1362) loss_rec_sfr: 0.2153 (0.1961) loss_cl: -0.3674 (-0.3667) time: 0.8924 data: 0.0004 max mem: 29859 [10:32:48.304808] Epoch: [35] [140/850] eta: 0:10:49 lr: 0.002110 loss: 0.1019 (0.1013) loss_rec_all: 0.1369 (0.1367) loss_rec_sfr: 0.1762 (0.1973) loss_cl: -0.3678 (-0.3669) time: 0.8648 data: 0.0003 max mem: 29859 [10:33:05.588492] Epoch: [35] [160/850] eta: 0:10:27 lr: 0.002111 loss: 0.1062 (0.1023) loss_rec_all: 0.1410 (0.1376) loss_rec_sfr: 0.2288 (0.2005) loss_cl: -0.3666 (-0.3668) time: 0.8641 data: 0.0003 max mem: 29859 [10:33:22.975451] Epoch: [35] [180/850] eta: 0:10:06 lr: 0.002112 loss: 0.0984 (0.1021) loss_rec_all: 0.1332 (0.1374) loss_rec_sfr: 0.1699 (0.2000) loss_cl: -0.3659 (-0.3667) time: 0.8693 data: 0.0003 max mem: 29859 [10:33:40.233774] Epoch: [35] [200/850] eta: 0:09:45 lr: 0.002114 loss: 0.0963 (0.1018) loss_rec_all: 0.1315 (0.1371) loss_rec_sfr: 0.1696 (0.1989) loss_cl: -0.3667 (-0.3667) time: 0.8629 data: 0.0002 max mem: 29859 [10:33:57.464738] Epoch: [35] [220/850] eta: 0:09:25 lr: 0.002115 loss: 0.0930 (0.1011) loss_rec_all: 0.1283 (0.1364) loss_rec_sfr: 0.1928 (0.1983) loss_cl: -0.3675 (-0.3668) time: 0.8615 data: 0.0002 max mem: 29859 [10:34:14.729194] Epoch: [35] [240/850] eta: 0:09:05 lr: 0.002117 loss: 0.0997 (0.1012) loss_rec_all: 0.1346 (0.1365) loss_rec_sfr: 0.2136 (0.1997) loss_cl: -0.3672 (-0.3668) time: 0.8632 data: 0.0002 max mem: 29859 [10:34:31.929098] Epoch: [35] [260/850] eta: 0:08:46 lr: 0.002118 loss: 0.1004 (0.1013) loss_rec_all: 0.1361 (0.1366) loss_rec_sfr: 0.1968 (0.1998) loss_cl: -0.3668 (-0.3668) time: 0.8599 data: 0.0002 max mem: 29859 [10:34:49.161462] Epoch: [35] [280/850] eta: 0:08:26 lr: 0.002120 loss: 0.0972 (0.1011) loss_rec_all: 0.1325 (0.1364) loss_rec_sfr: 0.1717 (0.1988) loss_cl: -0.3663 (-0.3668) time: 0.8616 data: 0.0002 max mem: 29859 [10:35:06.323377] Epoch: [35] [300/850] eta: 0:08:08 lr: 0.002121 loss: 0.0961 (0.1009) loss_rec_all: 0.1317 (0.1362) loss_rec_sfr: 0.1761 (0.1982) loss_cl: -0.3669 (-0.3668) time: 0.8580 data: 0.0002 max mem: 29859 [10:35:23.664151] Epoch: [35] [320/850] eta: 0:07:49 lr: 0.002123 loss: 0.0990 (0.1010) loss_rec_all: 0.1345 (0.1363) loss_rec_sfr: 0.2095 (0.1986) loss_cl: -0.3671 (-0.3668) time: 0.8670 data: 0.0003 max mem: 29859 [10:35:40.811682] Epoch: [35] [340/850] eta: 0:07:31 lr: 0.002124 loss: 0.0975 (0.1008) loss_rec_all: 0.1327 (0.1361) loss_rec_sfr: 0.1811 (0.1983) loss_cl: -0.3669 (-0.3668) time: 0.8573 data: 0.0002 max mem: 29859 [10:35:58.019113] Epoch: [35] [360/850] eta: 0:07:12 lr: 0.002125 loss: 0.1021 (0.1010) loss_rec_all: 0.1373 (0.1363) loss_rec_sfr: 0.2273 (0.1988) loss_cl: -0.3675 (-0.3668) time: 0.8603 data: 0.0002 max mem: 29859 [10:36:15.229987] Epoch: [35] [380/850] eta: 0:06:54 lr: 0.002127 loss: 0.1024 (0.1013) loss_rec_all: 0.1373 (0.1366) loss_rec_sfr: 0.2290 (0.1996) loss_cl: -0.3666 (-0.3668) time: 0.8605 data: 0.0002 max mem: 29859 [10:36:32.436415] Epoch: [35] [400/850] eta: 0:06:36 lr: 0.002128 loss: 0.0994 (0.1012) loss_rec_all: 0.1342 (0.1365) loss_rec_sfr: 0.1705 (0.1993) loss_cl: -0.3664 (-0.3668) time: 0.8603 data: 0.0002 max mem: 29859 [10:36:49.616155] Epoch: [35] [420/850] eta: 0:06:18 lr: 0.002129 loss: 0.0954 (0.1010) loss_rec_all: 0.1303 (0.1363) loss_rec_sfr: 0.2111 (0.1992) loss_cl: -0.3656 (-0.3667) time: 0.8589 data: 0.0002 max mem: 29859 [10:37:06.822422] Epoch: [35] [440/850] eta: 0:06:00 lr: 0.002131 loss: 0.0958 (0.1009) loss_rec_all: 0.1312 (0.1362) loss_rec_sfr: 0.1699 (0.1987) loss_cl: -0.3668 (-0.3667) time: 0.8602 data: 0.0002 max mem: 29859 [10:37:24.020321] Epoch: [35] [460/850] eta: 0:05:42 lr: 0.002132 loss: 0.0934 (0.1006) loss_rec_all: 0.1287 (0.1359) loss_rec_sfr: 0.1526 (0.1979) loss_cl: -0.3676 (-0.3668) time: 0.8598 data: 0.0002 max mem: 29859 [10:37:41.266197] Epoch: [35] [480/850] eta: 0:05:24 lr: 0.002134 loss: 0.0975 (0.1006) loss_rec_all: 0.1329 (0.1359) loss_rec_sfr: 0.1914 (0.1982) loss_cl: -0.3672 (-0.3668) time: 0.8622 data: 0.0002 max mem: 29859 [10:37:58.446381] Epoch: [35] [500/850] eta: 0:05:06 lr: 0.002135 loss: 0.0992 (0.1006) loss_rec_all: 0.1341 (0.1359) loss_rec_sfr: 0.2092 (0.1985) loss_cl: -0.3671 (-0.3668) time: 0.8590 data: 0.0002 max mem: 29859 [10:38:15.718265] Epoch: [35] [520/850] eta: 0:04:49 lr: 0.002137 loss: 0.1020 (0.1008) loss_rec_all: 0.1370 (0.1361) loss_rec_sfr: 0.2194 (0.1992) loss_cl: -0.3672 (-0.3668) time: 0.8635 data: 0.0002 max mem: 29859 [10:38:32.972853] Epoch: [35] [540/850] eta: 0:04:31 lr: 0.002138 loss: 0.0992 (0.1009) loss_rec_all: 0.1346 (0.1362) loss_rec_sfr: 0.1909 (0.1991) loss_cl: -0.3664 (-0.3668) time: 0.8627 data: 0.0002 max mem: 29859 [10:38:50.226842] Epoch: [35] [560/850] eta: 0:04:13 lr: 0.002140 loss: 0.0992 (0.1010) loss_rec_all: 0.1346 (0.1362) loss_rec_sfr: 0.2050 (0.1991) loss_cl: -0.3676 (-0.3668) time: 0.8627 data: 0.0002 max mem: 29859 [10:39:07.444603] Epoch: [35] [580/850] eta: 0:03:56 lr: 0.002141 loss: 0.1009 (0.1010) loss_rec_all: 0.1366 (0.1363) loss_rec_sfr: 0.1680 (0.1986) loss_cl: -0.3672 (-0.3668) time: 0.8608 data: 0.0002 max mem: 29859 [10:39:24.902613] Epoch: [35] [600/850] eta: 0:03:38 lr: 0.002142 loss: 0.0933 (0.1009) loss_rec_all: 0.1289 (0.1362) loss_rec_sfr: 0.1622 (0.1981) loss_cl: -0.3665 (-0.3668) time: 0.8728 data: 0.0003 max mem: 29859 [10:39:42.156851] Epoch: [35] [620/850] eta: 0:03:21 lr: 0.002143 loss: 0.0940 (0.1007) loss_rec_all: 0.1293 (0.1360) loss_rec_sfr: 0.1594 (0.1974) loss_cl: -0.3656 (-0.3668) time: 0.8627 data: 0.0002 max mem: 29859 [10:39:59.397526] Epoch: [35] [640/850] eta: 0:03:03 lr: 0.002145 loss: 0.0968 (0.1006) loss_rec_all: 0.1324 (0.1359) loss_rec_sfr: 0.1645 (0.1970) loss_cl: -0.3668 (-0.3668) time: 0.8620 data: 0.0002 max mem: 29859 [10:40:16.732747] Epoch: [35] [660/850] eta: 0:02:45 lr: 0.002146 loss: 0.0967 (0.1005) loss_rec_all: 0.1317 (0.1358) loss_rec_sfr: 0.1689 (0.1968) loss_cl: -0.3669 (-0.3668) time: 0.8666 data: 0.0003 max mem: 29859 [10:40:34.025922] Epoch: [35] [680/850] eta: 0:02:28 lr: 0.002148 loss: 0.0942 (0.1003) loss_rec_all: 0.1295 (0.1356) loss_rec_sfr: 0.2205 (0.1970) loss_cl: -0.3659 (-0.3667) time: 0.8646 data: 0.0002 max mem: 29859 [10:40:51.217998] Epoch: [35] [700/850] eta: 0:02:10 lr: 0.002149 loss: 0.0984 (0.1004) loss_rec_all: 0.1335 (0.1357) loss_rec_sfr: 0.2149 (0.1971) loss_cl: -0.3674 (-0.3668) time: 0.8596 data: 0.0002 max mem: 29859 [10:41:08.548196] Epoch: [35] [720/850] eta: 0:01:53 lr: 0.002151 loss: 0.0938 (0.1002) loss_rec_all: 0.1289 (0.1355) loss_rec_sfr: 0.1681 (0.1968) loss_cl: -0.3682 (-0.3668) time: 0.8664 data: 0.0002 max mem: 29859 [10:41:25.859240] Epoch: [35] [740/850] eta: 0:01:35 lr: 0.002152 loss: 0.0961 (0.1002) loss_rec_all: 0.1313 (0.1355) loss_rec_sfr: 0.2150 (0.1969) loss_cl: -0.3670 (-0.3668) time: 0.8655 data: 0.0003 max mem: 29859 [10:41:43.068375] Epoch: [35] [760/850] eta: 0:01:18 lr: 0.002154 loss: 0.1042 (0.1004) loss_rec_all: 0.1395 (0.1357) loss_rec_sfr: 0.1898 (0.1971) loss_cl: -0.3663 (-0.3668) time: 0.8604 data: 0.0002 max mem: 29859 [10:42:00.282088] Epoch: [35] [780/850] eta: 0:01:01 lr: 0.002155 loss: 0.1009 (0.1005) loss_rec_all: 0.1364 (0.1358) loss_rec_sfr: 0.2172 (0.1971) loss_cl: -0.3665 (-0.3668) time: 0.8606 data: 0.0002 max mem: 29859 [10:42:17.824067] Epoch: [35] [800/850] eta: 0:00:43 lr: 0.002156 loss: 0.0958 (0.1004) loss_rec_all: 0.1313 (0.1358) loss_rec_sfr: 0.1737 (0.1970) loss_cl: -0.3670 (-0.3668) time: 0.8770 data: 0.0005 max mem: 29859 [10:42:35.004008] Epoch: [35] [820/850] eta: 0:00:26 lr: 0.002158 loss: 0.0956 (0.1004) loss_rec_all: 0.1311 (0.1357) loss_rec_sfr: 0.1798 (0.1968) loss_cl: -0.3670 (-0.3668) time: 0.8589 data: 0.0002 max mem: 29859 [10:42:52.234098] Epoch: [35] [840/850] eta: 0:00:08 lr: 0.002159 loss: 0.0977 (0.1004) loss_rec_all: 0.1333 (0.1357) loss_rec_sfr: 0.2237 (0.1971) loss_cl: -0.3664 (-0.3668) time: 0.8614 data: 0.0005 max mem: 29859 [10:43:00.026548] Epoch: [35] [849/850] eta: 0:00:00 lr: 0.002160 loss: 0.0989 (0.1004) loss_rec_all: 0.1343 (0.1357) loss_rec_sfr: 0.1820 (0.1971) loss_cl: -0.3663 (-0.3668) time: 0.8644 data: 0.0005 max mem: 29859 [10:43:00.224387] Epoch: [35] Total time: 0:12:21 (0.8718 s / it) [10:43:00.232324] Averaged stats: lr: 0.002160 loss: 0.0989 (0.1003) loss_rec_all: 0.1343 (0.1356) loss_rec_sfr: 0.1820 (0.1971) loss_cl: -0.3663 (-0.3667) [10:43:00.252534] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [10:43:05.047099] Epoch: [36] [ 0/850] eta: 1:07:54 lr: 0.002160 loss: 0.1181 (0.1181) loss_rec_all: 0.1532 (0.1532) loss_rec_sfr: 0.2089 (0.2089) loss_cl: -0.3655 (-0.3655) time: 4.7936 data: 3.7999 max mem: 29859 [10:43:22.243878] Epoch: [36] [ 20/850] eta: 0:14:29 lr: 0.002161 loss: 0.1004 (0.1018) loss_rec_all: 0.1357 (0.1368) loss_rec_sfr: 0.2454 (0.2238) loss_cl: -0.3663 (-0.3663) time: 0.8598 data: 0.0002 max mem: 29859 [10:43:39.553973] Epoch: [36] [ 40/850] eta: 0:12:56 lr: 0.002163 loss: 0.0945 (0.0990) loss_rec_all: 0.1298 (0.1341) loss_rec_sfr: 0.2122 (0.2135) loss_cl: -0.3671 (-0.3666) time: 0.8655 data: 0.0002 max mem: 29859 [10:43:56.813635] Epoch: [36] [ 60/850] eta: 0:12:12 lr: 0.002164 loss: 0.0941 (0.0987) loss_rec_all: 0.1299 (0.1340) loss_rec_sfr: 0.2058 (0.2070) loss_cl: -0.3674 (-0.3669) time: 0.8629 data: 0.0002 max mem: 29859 [10:44:14.073978] Epoch: [36] [ 80/850] eta: 0:11:41 lr: 0.002166 loss: 0.0995 (0.0995) loss_rec_all: 0.1343 (0.1348) loss_rec_sfr: 0.1831 (0.2052) loss_cl: -0.3664 (-0.3668) time: 0.8630 data: 0.0002 max mem: 29859 [10:44:31.270579] Epoch: [36] [100/850] eta: 0:11:15 lr: 0.002167 loss: 0.0956 (0.0990) loss_rec_all: 0.1309 (0.1343) loss_rec_sfr: 0.1722 (0.2014) loss_cl: -0.3666 (-0.3668) time: 0.8598 data: 0.0002 max mem: 29859 [10:44:48.574284] Epoch: [36] [120/850] eta: 0:10:53 lr: 0.002168 loss: 0.0948 (0.0987) loss_rec_all: 0.1304 (0.1340) loss_rec_sfr: 0.2187 (0.2012) loss_cl: -0.3663 (-0.3667) time: 0.8651 data: 0.0002 max mem: 29859 [10:45:05.784011] Epoch: [36] [140/850] eta: 0:10:32 lr: 0.002170 loss: 0.0928 (0.0982) loss_rec_all: 0.1285 (0.1335) loss_rec_sfr: 0.1562 (0.1975) loss_cl: -0.3662 (-0.3666) time: 0.8604 data: 0.0002 max mem: 29859 [10:45:23.046404] Epoch: [36] [160/850] eta: 0:10:11 lr: 0.002171 loss: 0.0929 (0.0976) loss_rec_all: 0.1284 (0.1329) loss_rec_sfr: 0.1649 (0.1969) loss_cl: -0.3662 (-0.3666) time: 0.8631 data: 0.0002 max mem: 29859 [10:45:40.303803] Epoch: [36] [180/850] eta: 0:09:52 lr: 0.002172 loss: 0.1060 (0.0985) loss_rec_all: 0.1407 (0.1338) loss_rec_sfr: 0.2141 (0.1989) loss_cl: -0.3676 (-0.3667) time: 0.8628 data: 0.0002 max mem: 29859 [10:45:57.522511] Epoch: [36] [200/850] eta: 0:09:33 lr: 0.002174 loss: 0.0988 (0.0989) loss_rec_all: 0.1337 (0.1342) loss_rec_sfr: 0.2255 (0.2008) loss_cl: -0.3675 (-0.3667) time: 0.8609 data: 0.0002 max mem: 29859 [10:46:14.778511] Epoch: [36] [220/850] eta: 0:09:14 lr: 0.002175 loss: 0.1001 (0.0992) loss_rec_all: 0.1351 (0.1345) loss_rec_sfr: 0.2157 (0.2022) loss_cl: -0.3673 (-0.3668) time: 0.8628 data: 0.0002 max mem: 29859 [10:46:32.096646] Epoch: [36] [240/850] eta: 0:08:56 lr: 0.002177 loss: 0.0947 (0.0989) loss_rec_all: 0.1302 (0.1342) loss_rec_sfr: 0.1495 (0.2001) loss_cl: -0.3666 (-0.3668) time: 0.8659 data: 0.0002 max mem: 29859 [10:46:49.293469] Epoch: [36] [260/850] eta: 0:08:37 lr: 0.002178 loss: 0.0960 (0.0988) loss_rec_all: 0.1311 (0.1341) loss_rec_sfr: 0.1788 (0.1989) loss_cl: -0.3674 (-0.3668) time: 0.8598 data: 0.0002 max mem: 29859 [10:47:06.536658] Epoch: [36] [280/850] eta: 0:08:19 lr: 0.002180 loss: 0.0980 (0.0990) loss_rec_all: 0.1331 (0.1343) loss_rec_sfr: 0.2224 (0.1996) loss_cl: -0.3675 (-0.3669) time: 0.8621 data: 0.0002 max mem: 29859 [10:47:23.909578] Epoch: [36] [300/850] eta: 0:08:01 lr: 0.002181 loss: 0.0962 (0.0989) loss_rec_all: 0.1315 (0.1342) loss_rec_sfr: 0.1674 (0.1988) loss_cl: -0.3661 (-0.3668) time: 0.8686 data: 0.0003 max mem: 29859 [10:47:41.124647] Epoch: [36] [320/850] eta: 0:07:43 lr: 0.002183 loss: 0.0959 (0.0989) loss_rec_all: 0.1314 (0.1342) loss_rec_sfr: 0.1721 (0.1982) loss_cl: -0.3660 (-0.3668) time: 0.8607 data: 0.0001 max mem: 29859 [10:47:58.305176] Epoch: [36] [340/850] eta: 0:07:25 lr: 0.002184 loss: 0.0903 (0.0985) loss_rec_all: 0.1259 (0.1338) loss_rec_sfr: 0.2111 (0.1982) loss_cl: -0.3666 (-0.3667) time: 0.8590 data: 0.0002 max mem: 29859 [10:48:15.717144] Epoch: [36] [360/850] eta: 0:07:08 lr: 0.002185 loss: 0.0912 (0.0981) loss_rec_all: 0.1263 (0.1334) loss_rec_sfr: 0.2305 (0.1984) loss_cl: -0.3672 (-0.3668) time: 0.8705 data: 0.0003 max mem: 29859 [10:48:32.906960] Epoch: [36] [380/850] eta: 0:06:50 lr: 0.002187 loss: 0.0892 (0.0977) loss_rec_all: 0.1246 (0.1330) loss_rec_sfr: 0.1990 (0.1980) loss_cl: -0.3666 (-0.3668) time: 0.8594 data: 0.0002 max mem: 29859 [10:48:50.127083] Epoch: [36] [400/850] eta: 0:06:32 lr: 0.002188 loss: 0.0902 (0.0975) loss_rec_all: 0.1252 (0.1327) loss_rec_sfr: 0.2045 (0.1979) loss_cl: -0.3665 (-0.3668) time: 0.8610 data: 0.0002 max mem: 29859 [10:49:07.429299] Epoch: [36] [420/850] eta: 0:06:15 lr: 0.002189 loss: 0.0939 (0.0975) loss_rec_all: 0.1295 (0.1328) loss_rec_sfr: 0.1743 (0.1974) loss_cl: -0.3671 (-0.3668) time: 0.8650 data: 0.0003 max mem: 29859 [10:49:24.817822] Epoch: [36] [440/850] eta: 0:05:57 lr: 0.002191 loss: 0.0930 (0.0974) loss_rec_all: 0.1288 (0.1327) loss_rec_sfr: 0.2140 (0.1972) loss_cl: -0.3673 (-0.3668) time: 0.8694 data: 0.0002 max mem: 29859 [10:49:41.999464] Epoch: [36] [460/850] eta: 0:05:39 lr: 0.002192 loss: 0.1000 (0.0976) loss_rec_all: 0.1351 (0.1329) loss_rec_sfr: 0.2107 (0.1973) loss_cl: -0.3666 (-0.3668) time: 0.8590 data: 0.0002 max mem: 29859 [10:49:59.326196] Epoch: [36] [480/850] eta: 0:05:22 lr: 0.002194 loss: 0.1020 (0.0979) loss_rec_all: 0.1376 (0.1332) loss_rec_sfr: 0.1713 (0.1969) loss_cl: -0.3668 (-0.3668) time: 0.8663 data: 0.0003 max mem: 29859 [10:50:16.626345] Epoch: [36] [500/850] eta: 0:05:04 lr: 0.002195 loss: 0.0993 (0.0980) loss_rec_all: 0.1350 (0.1333) loss_rec_sfr: 0.2210 (0.1973) loss_cl: -0.3677 (-0.3668) time: 0.8650 data: 0.0002 max mem: 29859 [10:50:33.851212] Epoch: [36] [520/850] eta: 0:04:47 lr: 0.002197 loss: 0.0971 (0.0981) loss_rec_all: 0.1326 (0.1334) loss_rec_sfr: 0.2171 (0.1975) loss_cl: -0.3673 (-0.3668) time: 0.8612 data: 0.0002 max mem: 29859 [10:50:51.098365] Epoch: [36] [540/850] eta: 0:04:29 lr: 0.002198 loss: 0.0940 (0.0980) loss_rec_all: 0.1291 (0.1333) loss_rec_sfr: 0.2031 (0.1971) loss_cl: -0.3673 (-0.3668) time: 0.8623 data: 0.0002 max mem: 29859 [10:51:08.445271] Epoch: [36] [560/850] eta: 0:04:12 lr: 0.002200 loss: 0.0952 (0.0980) loss_rec_all: 0.1306 (0.1333) loss_rec_sfr: 0.2086 (0.1971) loss_cl: -0.3661 (-0.3668) time: 0.8673 data: 0.0002 max mem: 29859 [10:51:25.633273] Epoch: [36] [580/850] eta: 0:03:54 lr: 0.002201 loss: 0.1013 (0.0981) loss_rec_all: 0.1362 (0.1334) loss_rec_sfr: 0.1907 (0.1970) loss_cl: -0.3659 (-0.3668) time: 0.8594 data: 0.0002 max mem: 29859 [10:51:42.909619] Epoch: [36] [600/850] eta: 0:03:37 lr: 0.002202 loss: 0.0945 (0.0981) loss_rec_all: 0.1299 (0.1334) loss_rec_sfr: 0.2057 (0.1969) loss_cl: -0.3664 (-0.3668) time: 0.8637 data: 0.0002 max mem: 29859 [10:52:00.162583] Epoch: [36] [620/850] eta: 0:03:19 lr: 0.002203 loss: 0.0913 (0.0980) loss_rec_all: 0.1265 (0.1333) loss_rec_sfr: 0.2048 (0.1967) loss_cl: -0.3675 (-0.3668) time: 0.8626 data: 0.0002 max mem: 29859 [10:52:17.449508] Epoch: [36] [640/850] eta: 0:03:02 lr: 0.002205 loss: 0.0976 (0.0980) loss_rec_all: 0.1332 (0.1333) loss_rec_sfr: 0.2061 (0.1967) loss_cl: -0.3677 (-0.3668) time: 0.8643 data: 0.0002 max mem: 29859 [10:52:34.680394] Epoch: [36] [660/850] eta: 0:02:45 lr: 0.002206 loss: 0.0935 (0.0979) loss_rec_all: 0.1287 (0.1332) loss_rec_sfr: 0.1754 (0.1965) loss_cl: -0.3675 (-0.3668) time: 0.8615 data: 0.0002 max mem: 29859 [10:52:51.964890] Epoch: [36] [680/850] eta: 0:02:27 lr: 0.002208 loss: 0.0913 (0.0977) loss_rec_all: 0.1270 (0.1331) loss_rec_sfr: 0.1429 (0.1958) loss_cl: -0.3675 (-0.3668) time: 0.8642 data: 0.0002 max mem: 29859 [10:53:09.200693] Epoch: [36] [700/850] eta: 0:02:10 lr: 0.002209 loss: 0.0973 (0.0978) loss_rec_all: 0.1322 (0.1331) loss_rec_sfr: 0.2108 (0.1962) loss_cl: -0.3669 (-0.3668) time: 0.8617 data: 0.0002 max mem: 29859 [10:53:26.496726] Epoch: [36] [720/850] eta: 0:01:52 lr: 0.002211 loss: 0.1032 (0.0980) loss_rec_all: 0.1379 (0.1333) loss_rec_sfr: 0.2073 (0.1967) loss_cl: -0.3661 (-0.3668) time: 0.8647 data: 0.0002 max mem: 29859 [10:53:43.735787] Epoch: [36] [740/850] eta: 0:01:35 lr: 0.002212 loss: 0.0981 (0.0980) loss_rec_all: 0.1331 (0.1333) loss_rec_sfr: 0.2043 (0.1969) loss_cl: -0.3659 (-0.3668) time: 0.8619 data: 0.0002 max mem: 29859 [10:54:00.983351] Epoch: [36] [760/850] eta: 0:01:18 lr: 0.002214 loss: 0.0937 (0.0980) loss_rec_all: 0.1292 (0.1333) loss_rec_sfr: 0.1809 (0.1968) loss_cl: -0.3673 (-0.3668) time: 0.8623 data: 0.0002 max mem: 29859 [10:54:18.249900] Epoch: [36] [780/850] eta: 0:01:00 lr: 0.002215 loss: 0.0902 (0.0979) loss_rec_all: 0.1258 (0.1332) loss_rec_sfr: 0.1671 (0.1964) loss_cl: -0.3666 (-0.3668) time: 0.8633 data: 0.0002 max mem: 29859 [10:54:35.546024] Epoch: [36] [800/850] eta: 0:00:43 lr: 0.002216 loss: 0.0927 (0.0978) loss_rec_all: 0.1282 (0.1331) loss_rec_sfr: 0.2289 (0.1967) loss_cl: -0.3656 (-0.3668) time: 0.8648 data: 0.0002 max mem: 29859 [10:54:52.740757] Epoch: [36] [820/850] eta: 0:00:26 lr: 0.002218 loss: 0.1000 (0.0979) loss_rec_all: 0.1353 (0.1332) loss_rec_sfr: 0.2222 (0.1974) loss_cl: -0.3671 (-0.3668) time: 0.8597 data: 0.0002 max mem: 29859 [10:55:10.102850] Epoch: [36] [840/850] eta: 0:00:08 lr: 0.002219 loss: 0.0989 (0.0980) loss_rec_all: 0.1340 (0.1333) loss_rec_sfr: 0.2018 (0.1974) loss_cl: -0.3667 (-0.3668) time: 0.8680 data: 0.0006 max mem: 29859 [10:55:17.870752] Epoch: [36] [849/850] eta: 0:00:00 lr: 0.002220 loss: 0.0958 (0.0980) loss_rec_all: 0.1308 (0.1333) loss_rec_sfr: 0.2020 (0.1972) loss_cl: -0.3671 (-0.3668) time: 0.8685 data: 0.0006 max mem: 29859 [10:55:18.044527] Epoch: [36] Total time: 0:12:17 (0.8680 s / it) [10:55:18.056029] Averaged stats: lr: 0.002220 loss: 0.0958 (0.0979) loss_rec_all: 0.1308 (0.1332) loss_rec_sfr: 0.2020 (0.1959) loss_cl: -0.3671 (-0.3668) [10:55:18.068286] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [10:55:22.777430] Epoch: [37] [ 0/850] eta: 1:06:42 lr: 0.002220 loss: 0.0912 (0.0912) loss_rec_all: 0.1270 (0.1270) loss_rec_sfr: 0.1389 (0.1389) loss_cl: -0.3673 (-0.3673) time: 4.7085 data: 3.6814 max mem: 29859 [10:55:39.923064] Epoch: [37] [ 20/850] eta: 0:14:23 lr: 0.002221 loss: 0.0919 (0.0949) loss_rec_all: 0.1269 (0.1303) loss_rec_sfr: 0.2042 (0.1835) loss_cl: -0.3668 (-0.3667) time: 0.8572 data: 0.0001 max mem: 29859 [10:55:57.167968] Epoch: [37] [ 40/850] eta: 0:12:52 lr: 0.002223 loss: 0.0883 (0.0930) loss_rec_all: 0.1235 (0.1284) loss_rec_sfr: 0.1564 (0.1773) loss_cl: -0.3662 (-0.3665) time: 0.8622 data: 0.0002 max mem: 29859 [10:56:14.523220] Epoch: [37] [ 60/850] eta: 0:12:11 lr: 0.002224 loss: 0.0901 (0.0926) loss_rec_all: 0.1259 (0.1280) loss_rec_sfr: 0.1971 (0.1805) loss_cl: -0.3671 (-0.3667) time: 0.8677 data: 0.0002 max mem: 29859 [10:56:31.727656] Epoch: [37] [ 80/850] eta: 0:11:40 lr: 0.002226 loss: 0.0890 (0.0925) loss_rec_all: 0.1246 (0.1279) loss_rec_sfr: 0.1694 (0.1795) loss_cl: -0.3668 (-0.3667) time: 0.8602 data: 0.0002 max mem: 29859 [10:56:48.916411] Epoch: [37] [100/850] eta: 0:11:14 lr: 0.002227 loss: 0.0965 (0.0938) loss_rec_all: 0.1315 (0.1292) loss_rec_sfr: 0.2085 (0.1827) loss_cl: -0.3669 (-0.3668) time: 0.8594 data: 0.0002 max mem: 29859 [10:57:06.475363] Epoch: [37] [120/850] eta: 0:10:53 lr: 0.002228 loss: 0.0952 (0.0946) loss_rec_all: 0.1308 (0.1299) loss_rec_sfr: 0.2219 (0.1848) loss_cl: -0.3670 (-0.3668) time: 0.8779 data: 0.0003 max mem: 29859 [10:57:23.657698] Epoch: [37] [140/850] eta: 0:10:32 lr: 0.002230 loss: 0.0936 (0.0950) loss_rec_all: 0.1289 (0.1304) loss_rec_sfr: 0.2163 (0.1874) loss_cl: -0.3667 (-0.3668) time: 0.8591 data: 0.0002 max mem: 29859 [10:57:40.892781] Epoch: [37] [160/850] eta: 0:10:12 lr: 0.002231 loss: 0.0982 (0.0959) loss_rec_all: 0.1332 (0.1312) loss_rec_sfr: 0.1701 (0.1875) loss_cl: -0.3659 (-0.3667) time: 0.8617 data: 0.0002 max mem: 29859 [10:57:58.183129] Epoch: [37] [180/850] eta: 0:09:52 lr: 0.002232 loss: 0.1015 (0.0967) loss_rec_all: 0.1372 (0.1320) loss_rec_sfr: 0.2058 (0.1892) loss_cl: -0.3668 (-0.3667) time: 0.8644 data: 0.0002 max mem: 29859 [10:58:15.455889] Epoch: [37] [200/850] eta: 0:09:33 lr: 0.002234 loss: 0.1030 (0.0976) loss_rec_all: 0.1384 (0.1329) loss_rec_sfr: 0.2037 (0.1910) loss_cl: -0.3667 (-0.3667) time: 0.8636 data: 0.0002 max mem: 29859 [10:58:32.643003] Epoch: [37] [220/850] eta: 0:09:14 lr: 0.002235 loss: 0.0941 (0.0976) loss_rec_all: 0.1297 (0.1329) loss_rec_sfr: 0.2116 (0.1918) loss_cl: -0.3679 (-0.3668) time: 0.8593 data: 0.0002 max mem: 29859 [10:58:49.971032] Epoch: [37] [240/850] eta: 0:08:56 lr: 0.002237 loss: 0.0934 (0.0973) loss_rec_all: 0.1287 (0.1327) loss_rec_sfr: 0.2109 (0.1924) loss_cl: -0.3677 (-0.3669) time: 0.8663 data: 0.0003 max mem: 29859 [10:59:07.210898] Epoch: [37] [260/850] eta: 0:08:37 lr: 0.002238 loss: 0.0919 (0.0971) loss_rec_all: 0.1271 (0.1325) loss_rec_sfr: 0.2072 (0.1931) loss_cl: -0.3655 (-0.3668) time: 0.8619 data: 0.0002 max mem: 29859 [10:59:24.430244] Epoch: [37] [280/850] eta: 0:08:19 lr: 0.002240 loss: 0.0919 (0.0969) loss_rec_all: 0.1273 (0.1322) loss_rec_sfr: 0.1638 (0.1923) loss_cl: -0.3657 (-0.3667) time: 0.8609 data: 0.0002 max mem: 29859 [10:59:41.673380] Epoch: [37] [300/850] eta: 0:08:01 lr: 0.002241 loss: 0.0939 (0.0967) loss_rec_all: 0.1295 (0.1320) loss_rec_sfr: 0.1627 (0.1919) loss_cl: -0.3670 (-0.3667) time: 0.8621 data: 0.0002 max mem: 29859 [10:59:58.985620] Epoch: [37] [320/850] eta: 0:07:43 lr: 0.002243 loss: 0.0916 (0.0965) loss_rec_all: 0.1269 (0.1318) loss_rec_sfr: 0.1809 (0.1921) loss_cl: -0.3682 (-0.3668) time: 0.8656 data: 0.0002 max mem: 29859 [11:00:16.182079] Epoch: [37] [340/850] eta: 0:07:25 lr: 0.002244 loss: 0.0939 (0.0964) loss_rec_all: 0.1290 (0.1317) loss_rec_sfr: 0.2338 (0.1932) loss_cl: -0.3669 (-0.3668) time: 0.8598 data: 0.0002 max mem: 29859 [11:00:33.455970] Epoch: [37] [360/850] eta: 0:07:08 lr: 0.002245 loss: 0.0917 (0.0963) loss_rec_all: 0.1269 (0.1317) loss_rec_sfr: 0.1738 (0.1928) loss_cl: -0.3666 (-0.3668) time: 0.8636 data: 0.0002 max mem: 29859 [11:00:50.655952] Epoch: [37] [380/850] eta: 0:06:50 lr: 0.002247 loss: 0.0897 (0.0961) loss_rec_all: 0.1247 (0.1314) loss_rec_sfr: 0.1970 (0.1929) loss_cl: -0.3665 (-0.3668) time: 0.8599 data: 0.0002 max mem: 29859 [11:01:07.919041] Epoch: [37] [400/850] eta: 0:06:32 lr: 0.002248 loss: 0.0919 (0.0960) loss_rec_all: 0.1269 (0.1313) loss_rec_sfr: 0.1797 (0.1928) loss_cl: -0.3672 (-0.3668) time: 0.8631 data: 0.0002 max mem: 29859 [11:01:25.166315] Epoch: [37] [420/850] eta: 0:06:14 lr: 0.002249 loss: 0.0966 (0.0960) loss_rec_all: 0.1319 (0.1314) loss_rec_sfr: 0.2222 (0.1931) loss_cl: -0.3666 (-0.3668) time: 0.8623 data: 0.0002 max mem: 29859 [11:01:42.402765] Epoch: [37] [440/850] eta: 0:05:57 lr: 0.002251 loss: 0.0940 (0.0960) loss_rec_all: 0.1293 (0.1313) loss_rec_sfr: 0.1625 (0.1924) loss_cl: -0.3659 (-0.3667) time: 0.8618 data: 0.0002 max mem: 29859 [11:01:59.642950] Epoch: [37] [460/850] eta: 0:05:39 lr: 0.002252 loss: 0.0934 (0.0960) loss_rec_all: 0.1285 (0.1313) loss_rec_sfr: 0.2384 (0.1938) loss_cl: -0.3659 (-0.3667) time: 0.8619 data: 0.0002 max mem: 29859 [11:02:16.893404] Epoch: [37] [480/850] eta: 0:05:22 lr: 0.002254 loss: 0.1017 (0.0962) loss_rec_all: 0.1371 (0.1315) loss_rec_sfr: 0.2172 (0.1948) loss_cl: -0.3668 (-0.3667) time: 0.8625 data: 0.0002 max mem: 29859 [11:02:34.082611] Epoch: [37] [500/850] eta: 0:05:04 lr: 0.002255 loss: 0.0942 (0.0962) loss_rec_all: 0.1295 (0.1315) loss_rec_sfr: 0.2182 (0.1951) loss_cl: -0.3690 (-0.3668) time: 0.8594 data: 0.0002 max mem: 29859 [11:02:51.326136] Epoch: [37] [520/850] eta: 0:04:47 lr: 0.002257 loss: 0.0903 (0.0961) loss_rec_all: 0.1260 (0.1314) loss_rec_sfr: 0.1947 (0.1949) loss_cl: -0.3679 (-0.3668) time: 0.8621 data: 0.0002 max mem: 29859 [11:03:08.680712] Epoch: [37] [540/850] eta: 0:04:29 lr: 0.002258 loss: 0.0907 (0.0959) loss_rec_all: 0.1257 (0.1313) loss_rec_sfr: 0.2071 (0.1951) loss_cl: -0.3663 (-0.3668) time: 0.8677 data: 0.0002 max mem: 29859 [11:03:25.943238] Epoch: [37] [560/850] eta: 0:04:12 lr: 0.002260 loss: 0.0901 (0.0958) loss_rec_all: 0.1251 (0.1311) loss_rec_sfr: 0.1448 (0.1943) loss_cl: -0.3654 (-0.3668) time: 0.8631 data: 0.0002 max mem: 29859 [11:03:43.123143] Epoch: [37] [580/850] eta: 0:03:54 lr: 0.002261 loss: 0.0929 (0.0958) loss_rec_all: 0.1286 (0.1311) loss_rec_sfr: 0.1627 (0.1937) loss_cl: -0.3662 (-0.3667) time: 0.8589 data: 0.0002 max mem: 29859 [11:04:00.531804] Epoch: [37] [600/850] eta: 0:03:37 lr: 0.002262 loss: 0.0984 (0.0959) loss_rec_all: 0.1338 (0.1312) loss_rec_sfr: 0.2133 (0.1943) loss_cl: -0.3668 (-0.3667) time: 0.8704 data: 0.0003 max mem: 29859 [11:04:17.712588] Epoch: [37] [620/850] eta: 0:03:19 lr: 0.002263 loss: 0.0932 (0.0958) loss_rec_all: 0.1288 (0.1312) loss_rec_sfr: 0.1638 (0.1940) loss_cl: -0.3674 (-0.3668) time: 0.8590 data: 0.0002 max mem: 29859 [11:04:34.934931] Epoch: [37] [640/850] eta: 0:03:02 lr: 0.002265 loss: 0.1018 (0.0961) loss_rec_all: 0.1367 (0.1314) loss_rec_sfr: 0.2069 (0.1946) loss_cl: -0.3674 (-0.3668) time: 0.8611 data: 0.0002 max mem: 29859 [11:04:52.307966] Epoch: [37] [660/850] eta: 0:02:45 lr: 0.002266 loss: 0.0992 (0.0962) loss_rec_all: 0.1348 (0.1315) loss_rec_sfr: 0.1690 (0.1943) loss_cl: -0.3671 (-0.3668) time: 0.8686 data: 0.0003 max mem: 29859 [11:05:09.562126] Epoch: [37] [680/850] eta: 0:02:27 lr: 0.002268 loss: 0.0938 (0.0962) loss_rec_all: 0.1295 (0.1315) loss_rec_sfr: 0.2048 (0.1944) loss_cl: -0.3667 (-0.3668) time: 0.8627 data: 0.0002 max mem: 29859 [11:05:26.739459] Epoch: [37] [700/850] eta: 0:02:10 lr: 0.002269 loss: 0.0904 (0.0961) loss_rec_all: 0.1259 (0.1314) loss_rec_sfr: 0.1617 (0.1943) loss_cl: -0.3673 (-0.3668) time: 0.8588 data: 0.0002 max mem: 29859 [11:05:44.090877] Epoch: [37] [720/850] eta: 0:01:52 lr: 0.002271 loss: 0.0942 (0.0960) loss_rec_all: 0.1294 (0.1313) loss_rec_sfr: 0.1807 (0.1943) loss_cl: -0.3675 (-0.3668) time: 0.8675 data: 0.0003 max mem: 29859 [11:06:01.483855] Epoch: [37] [740/850] eta: 0:01:35 lr: 0.002272 loss: 0.0935 (0.0960) loss_rec_all: 0.1286 (0.1313) loss_rec_sfr: 0.2050 (0.1942) loss_cl: -0.3665 (-0.3668) time: 0.8696 data: 0.0002 max mem: 29859 [11:06:18.709681] Epoch: [37] [760/850] eta: 0:01:18 lr: 0.002274 loss: 0.0931 (0.0960) loss_rec_all: 0.1284 (0.1313) loss_rec_sfr: 0.1685 (0.1941) loss_cl: -0.3658 (-0.3668) time: 0.8612 data: 0.0002 max mem: 29859 [11:06:35.952618] Epoch: [37] [780/850] eta: 0:01:00 lr: 0.002275 loss: 0.0885 (0.0958) loss_rec_all: 0.1237 (0.1311) loss_rec_sfr: 0.1753 (0.1938) loss_cl: -0.3664 (-0.3668) time: 0.8621 data: 0.0002 max mem: 29859 [11:06:53.374629] Epoch: [37] [800/850] eta: 0:00:43 lr: 0.002276 loss: 0.0878 (0.0957) loss_rec_all: 0.1236 (0.1310) loss_rec_sfr: 0.1974 (0.1938) loss_cl: -0.3669 (-0.3668) time: 0.8710 data: 0.0003 max mem: 29859 [11:07:10.548494] Epoch: [37] [820/850] eta: 0:00:26 lr: 0.002278 loss: 0.0898 (0.0955) loss_rec_all: 0.1252 (0.1309) loss_rec_sfr: 0.1591 (0.1932) loss_cl: -0.3674 (-0.3668) time: 0.8586 data: 0.0002 max mem: 29859 [11:07:27.813964] Epoch: [37] [840/850] eta: 0:00:08 lr: 0.002279 loss: 0.0867 (0.0954) loss_rec_all: 0.1222 (0.1308) loss_rec_sfr: 0.1702 (0.1929) loss_cl: -0.3667 (-0.3668) time: 0.8632 data: 0.0004 max mem: 29859 [11:07:35.624734] Epoch: [37] [849/850] eta: 0:00:00 lr: 0.002280 loss: 0.0865 (0.0954) loss_rec_all: 0.1219 (0.1307) loss_rec_sfr: 0.1567 (0.1926) loss_cl: -0.3666 (-0.3668) time: 0.8671 data: 0.0005 max mem: 29859 [11:07:35.795786] Epoch: [37] Total time: 0:12:17 (0.8679 s / it) [11:07:35.802347] Averaged stats: lr: 0.002280 loss: 0.0865 (0.0953) loss_rec_all: 0.1219 (0.1307) loss_rec_sfr: 0.1567 (0.1933) loss_cl: -0.3666 (-0.3668) [11:07:35.826302] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [11:07:40.807253] Epoch: [38] [ 0/850] eta: 1:10:31 lr: 0.002280 loss: 0.0926 (0.0926) loss_rec_all: 0.1277 (0.1277) loss_rec_sfr: 0.2234 (0.2234) loss_cl: -0.3664 (-0.3664) time: 4.9784 data: 3.8827 max mem: 29859 [11:07:57.947478] Epoch: [38] [ 20/850] eta: 0:14:34 lr: 0.002281 loss: 0.0923 (0.0933) loss_rec_all: 0.1272 (0.1286) loss_rec_sfr: 0.1921 (0.1946) loss_cl: -0.3665 (-0.3667) time: 0.8570 data: 0.0002 max mem: 29859 [11:08:15.157408] Epoch: [38] [ 40/850] eta: 0:12:56 lr: 0.002283 loss: 0.0965 (0.0958) loss_rec_all: 0.1316 (0.1311) loss_rec_sfr: 0.2130 (0.1968) loss_cl: -0.3669 (-0.3668) time: 0.8604 data: 0.0002 max mem: 29859 [11:08:32.452177] Epoch: [38] [ 60/850] eta: 0:12:13 lr: 0.002284 loss: 0.0952 (0.0970) loss_rec_all: 0.1307 (0.1323) loss_rec_sfr: 0.1779 (0.1942) loss_cl: -0.3670 (-0.3669) time: 0.8647 data: 0.0003 max mem: 29859 [11:08:49.713655] Epoch: [38] [ 80/850] eta: 0:11:42 lr: 0.002286 loss: 0.0983 (0.0984) loss_rec_all: 0.1334 (0.1337) loss_rec_sfr: 0.2019 (0.1946) loss_cl: -0.3681 (-0.3671) time: 0.8630 data: 0.0002 max mem: 29859 [11:09:06.889501] Epoch: [38] [100/850] eta: 0:11:16 lr: 0.002287 loss: 0.0937 (0.0975) loss_rec_all: 0.1294 (0.1328) loss_rec_sfr: 0.1739 (0.1924) loss_cl: -0.3678 (-0.3673) time: 0.8587 data: 0.0002 max mem: 29859 [11:09:24.184487] Epoch: [38] [120/850] eta: 0:10:53 lr: 0.002288 loss: 0.0906 (0.0964) loss_rec_all: 0.1255 (0.1318) loss_rec_sfr: 0.1968 (0.1914) loss_cl: -0.3660 (-0.3671) time: 0.8647 data: 0.0002 max mem: 29859 [11:09:41.402399] Epoch: [38] [140/850] eta: 0:10:32 lr: 0.002290 loss: 0.0890 (0.0953) loss_rec_all: 0.1247 (0.1307) loss_rec_sfr: 0.1412 (0.1875) loss_cl: -0.3661 (-0.3669) time: 0.8608 data: 0.0002 max mem: 29859 [11:09:58.621706] Epoch: [38] [160/850] eta: 0:10:11 lr: 0.002291 loss: 0.0892 (0.0950) loss_rec_all: 0.1249 (0.1304) loss_rec_sfr: 0.1505 (0.1859) loss_cl: -0.3664 (-0.3668) time: 0.8609 data: 0.0002 max mem: 29859 [11:10:15.872896] Epoch: [38] [180/850] eta: 0:09:52 lr: 0.002292 loss: 0.0934 (0.0952) loss_rec_all: 0.1287 (0.1306) loss_rec_sfr: 0.2128 (0.1865) loss_cl: -0.3667 (-0.3668) time: 0.8625 data: 0.0003 max mem: 29859 [11:10:33.124716] Epoch: [38] [200/850] eta: 0:09:33 lr: 0.002294 loss: 0.0912 (0.0949) loss_rec_all: 0.1270 (0.1303) loss_rec_sfr: 0.1968 (0.1877) loss_cl: -0.3675 (-0.3669) time: 0.8625 data: 0.0002 max mem: 29859 [11:10:50.321273] Epoch: [38] [220/850] eta: 0:09:14 lr: 0.002295 loss: 0.0946 (0.0951) loss_rec_all: 0.1301 (0.1304) loss_rec_sfr: 0.2023 (0.1892) loss_cl: -0.3681 (-0.3670) time: 0.8598 data: 0.0002 max mem: 29859 [11:11:07.617975] Epoch: [38] [240/850] eta: 0:08:56 lr: 0.002297 loss: 0.0902 (0.0948) loss_rec_all: 0.1256 (0.1302) loss_rec_sfr: 0.2056 (0.1897) loss_cl: -0.3663 (-0.3670) time: 0.8648 data: 0.0002 max mem: 29859 [11:11:24.817026] Epoch: [38] [260/850] eta: 0:08:37 lr: 0.002298 loss: 0.0857 (0.0944) loss_rec_all: 0.1213 (0.1298) loss_rec_sfr: 0.1345 (0.1880) loss_cl: -0.3661 (-0.3669) time: 0.8599 data: 0.0002 max mem: 29859 [11:11:42.111878] Epoch: [38] [280/850] eta: 0:08:19 lr: 0.002300 loss: 0.0893 (0.0941) loss_rec_all: 0.1241 (0.1295) loss_rec_sfr: 0.1899 (0.1884) loss_cl: -0.3661 (-0.3668) time: 0.8647 data: 0.0002 max mem: 29859 [11:11:59.359961] Epoch: [38] [300/850] eta: 0:08:01 lr: 0.002301 loss: 0.0862 (0.0937) loss_rec_all: 0.1217 (0.1290) loss_rec_sfr: 0.2031 (0.1884) loss_cl: -0.3675 (-0.3668) time: 0.8624 data: 0.0002 max mem: 29859 [11:12:16.581511] Epoch: [38] [320/850] eta: 0:07:43 lr: 0.002303 loss: 0.0928 (0.0938) loss_rec_all: 0.1283 (0.1292) loss_rec_sfr: 0.2038 (0.1886) loss_cl: -0.3678 (-0.3669) time: 0.8610 data: 0.0001 max mem: 29859 [11:12:33.919332] Epoch: [38] [340/850] eta: 0:07:25 lr: 0.002304 loss: 0.0925 (0.0938) loss_rec_all: 0.1281 (0.1292) loss_rec_sfr: 0.1660 (0.1882) loss_cl: -0.3669 (-0.3669) time: 0.8668 data: 0.0003 max mem: 29859 [11:12:51.418238] Epoch: [38] [360/850] eta: 0:07:08 lr: 0.002305 loss: 0.0940 (0.0940) loss_rec_all: 0.1290 (0.1293) loss_rec_sfr: 0.1792 (0.1881) loss_cl: -0.3671 (-0.3669) time: 0.8749 data: 0.0004 max mem: 29859 [11:13:08.599002] Epoch: [38] [380/850] eta: 0:06:50 lr: 0.002307 loss: 0.0932 (0.0941) loss_rec_all: 0.1286 (0.1294) loss_rec_sfr: 0.1820 (0.1883) loss_cl: -0.3660 (-0.3669) time: 0.8590 data: 0.0002 max mem: 29859 [11:13:25.858914] Epoch: [38] [400/850] eta: 0:06:32 lr: 0.002308 loss: 0.0927 (0.0941) loss_rec_all: 0.1282 (0.1294) loss_rec_sfr: 0.2131 (0.1886) loss_cl: -0.3657 (-0.3668) time: 0.8629 data: 0.0002 max mem: 29859 [11:13:43.162914] Epoch: [38] [420/850] eta: 0:06:15 lr: 0.002309 loss: 0.0937 (0.0941) loss_rec_all: 0.1287 (0.1294) loss_rec_sfr: 0.2062 (0.1890) loss_cl: -0.3675 (-0.3668) time: 0.8651 data: 0.0003 max mem: 29859 [11:14:00.396717] Epoch: [38] [440/850] eta: 0:05:57 lr: 0.002311 loss: 0.0885 (0.0939) loss_rec_all: 0.1236 (0.1293) loss_rec_sfr: 0.1971 (0.1892) loss_cl: -0.3668 (-0.3668) time: 0.8616 data: 0.0002 max mem: 29859 [11:14:17.585516] Epoch: [38] [460/850] eta: 0:05:39 lr: 0.002312 loss: 0.0853 (0.0936) loss_rec_all: 0.1210 (0.1290) loss_rec_sfr: 0.1592 (0.1887) loss_cl: -0.3669 (-0.3668) time: 0.8594 data: 0.0002 max mem: 29859 [11:14:35.034314] Epoch: [38] [480/850] eta: 0:05:22 lr: 0.002314 loss: 0.0866 (0.0934) loss_rec_all: 0.1218 (0.1288) loss_rec_sfr: 0.1934 (0.1888) loss_cl: -0.3671 (-0.3668) time: 0.8724 data: 0.0003 max mem: 29859 [11:14:52.235358] Epoch: [38] [500/850] eta: 0:05:04 lr: 0.002315 loss: 0.0939 (0.0935) loss_rec_all: 0.1292 (0.1289) loss_rec_sfr: 0.1945 (0.1893) loss_cl: -0.3671 (-0.3668) time: 0.8600 data: 0.0002 max mem: 29859 [11:15:09.461611] Epoch: [38] [520/850] eta: 0:04:47 lr: 0.002317 loss: 0.0898 (0.0935) loss_rec_all: 0.1254 (0.1289) loss_rec_sfr: 0.2047 (0.1894) loss_cl: -0.3664 (-0.3668) time: 0.8613 data: 0.0002 max mem: 29859 [11:15:26.847732] Epoch: [38] [540/850] eta: 0:04:29 lr: 0.002318 loss: 0.0897 (0.0934) loss_rec_all: 0.1247 (0.1288) loss_rec_sfr: 0.1816 (0.1892) loss_cl: -0.3670 (-0.3668) time: 0.8692 data: 0.0004 max mem: 29859 [11:15:44.263324] Epoch: [38] [560/850] eta: 0:04:12 lr: 0.002320 loss: 0.0914 (0.0935) loss_rec_all: 0.1263 (0.1289) loss_rec_sfr: 0.2039 (0.1893) loss_cl: -0.3667 (-0.3668) time: 0.8707 data: 0.0002 max mem: 29859 [11:16:01.453283] Epoch: [38] [580/850] eta: 0:03:54 lr: 0.002321 loss: 0.1012 (0.0938) loss_rec_all: 0.1367 (0.1292) loss_rec_sfr: 0.2214 (0.1902) loss_cl: -0.3663 (-0.3668) time: 0.8595 data: 0.0002 max mem: 29859 [11:16:18.793674] Epoch: [38] [600/850] eta: 0:03:37 lr: 0.002322 loss: 0.0950 (0.0939) loss_rec_all: 0.1304 (0.1293) loss_rec_sfr: 0.1725 (0.1900) loss_cl: -0.3663 (-0.3668) time: 0.8670 data: 0.0003 max mem: 29859 [11:16:36.093336] Epoch: [38] [620/850] eta: 0:03:20 lr: 0.002323 loss: 0.0960 (0.0940) loss_rec_all: 0.1310 (0.1294) loss_rec_sfr: 0.2063 (0.1903) loss_cl: -0.3673 (-0.3668) time: 0.8649 data: 0.0003 max mem: 29859 [11:16:53.316933] Epoch: [38] [640/850] eta: 0:03:02 lr: 0.002325 loss: 0.0920 (0.0940) loss_rec_all: 0.1277 (0.1294) loss_rec_sfr: 0.2067 (0.1905) loss_cl: -0.3678 (-0.3668) time: 0.8611 data: 0.0002 max mem: 29859 [11:17:10.551778] Epoch: [38] [660/850] eta: 0:02:45 lr: 0.002326 loss: 0.0930 (0.0940) loss_rec_all: 0.1280 (0.1294) loss_rec_sfr: 0.1864 (0.1904) loss_cl: -0.3672 (-0.3669) time: 0.8617 data: 0.0002 max mem: 29859 [11:17:27.865806] Epoch: [38] [680/850] eta: 0:02:27 lr: 0.002328 loss: 0.0949 (0.0942) loss_rec_all: 0.1302 (0.1295) loss_rec_sfr: 0.2057 (0.1905) loss_cl: -0.3664 (-0.3668) time: 0.8656 data: 0.0002 max mem: 29859 [11:17:45.059376] Epoch: [38] [700/850] eta: 0:02:10 lr: 0.002329 loss: 0.0958 (0.0943) loss_rec_all: 0.1309 (0.1297) loss_rec_sfr: 0.1741 (0.1905) loss_cl: -0.3659 (-0.3668) time: 0.8596 data: 0.0002 max mem: 29859 [11:18:02.328123] Epoch: [38] [720/850] eta: 0:01:52 lr: 0.002331 loss: 0.0879 (0.0942) loss_rec_all: 0.1230 (0.1295) loss_rec_sfr: 0.1979 (0.1906) loss_cl: -0.3672 (-0.3668) time: 0.8634 data: 0.0002 max mem: 29859 [11:18:19.608646] Epoch: [38] [740/850] eta: 0:01:35 lr: 0.002332 loss: 0.0913 (0.0941) loss_rec_all: 0.1264 (0.1295) loss_rec_sfr: 0.1991 (0.1908) loss_cl: -0.3678 (-0.3669) time: 0.8639 data: 0.0002 max mem: 29859 [11:18:36.880682] Epoch: [38] [760/850] eta: 0:01:18 lr: 0.002334 loss: 0.0922 (0.0941) loss_rec_all: 0.1278 (0.1295) loss_rec_sfr: 0.1608 (0.1902) loss_cl: -0.3666 (-0.3668) time: 0.8636 data: 0.0002 max mem: 29859 [11:18:54.101054] Epoch: [38] [780/850] eta: 0:01:00 lr: 0.002335 loss: 0.0873 (0.0940) loss_rec_all: 0.1224 (0.1293) loss_rec_sfr: 0.1748 (0.1898) loss_cl: -0.3663 (-0.3668) time: 0.8609 data: 0.0002 max mem: 29859 [11:19:11.380221] Epoch: [38] [800/850] eta: 0:00:43 lr: 0.002336 loss: 0.0873 (0.0939) loss_rec_all: 0.1224 (0.1292) loss_rec_sfr: 0.1933 (0.1898) loss_cl: -0.3668 (-0.3668) time: 0.8639 data: 0.0003 max mem: 29859 [11:19:28.610986] Epoch: [38] [820/850] eta: 0:00:26 lr: 0.002338 loss: 0.0842 (0.0937) loss_rec_all: 0.1194 (0.1290) loss_rec_sfr: 0.1642 (0.1894) loss_cl: -0.3676 (-0.3668) time: 0.8615 data: 0.0002 max mem: 29859 [11:19:45.855080] Epoch: [38] [840/850] eta: 0:00:08 lr: 0.002339 loss: 0.0915 (0.0936) loss_rec_all: 0.1264 (0.1290) loss_rec_sfr: 0.1930 (0.1893) loss_cl: -0.3676 (-0.3669) time: 0.8622 data: 0.0005 max mem: 29859 [11:19:53.606744] Epoch: [38] [849/850] eta: 0:00:00 lr: 0.002340 loss: 0.0885 (0.0936) loss_rec_all: 0.1240 (0.1290) loss_rec_sfr: 0.2023 (0.1892) loss_cl: -0.3670 (-0.3669) time: 0.8630 data: 0.0005 max mem: 29859 [11:19:53.764490] Epoch: [38] Total time: 0:12:17 (0.8682 s / it) [11:19:53.778399] Averaged stats: lr: 0.002340 loss: 0.0885 (0.0935) loss_rec_all: 0.1240 (0.1288) loss_rec_sfr: 0.2023 (0.1887) loss_cl: -0.3670 (-0.3668) [11:19:53.788687] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [11:19:58.375319] Epoch: [39] [ 0/850] eta: 1:04:58 lr: 0.002340 loss: 0.0930 (0.0930) loss_rec_all: 0.1280 (0.1280) loss_rec_sfr: 0.2441 (0.2441) loss_cl: -0.3671 (-0.3671) time: 4.5859 data: 3.4785 max mem: 29859 [11:20:15.533488] Epoch: [39] [ 20/850] eta: 0:14:19 lr: 0.002341 loss: 0.0924 (0.0952) loss_rec_all: 0.1277 (0.1305) loss_rec_sfr: 0.1786 (0.1841) loss_cl: -0.3661 (-0.3663) time: 0.8579 data: 0.0002 max mem: 29859 [11:20:32.820015] Epoch: [39] [ 40/850] eta: 0:12:51 lr: 0.002343 loss: 0.0884 (0.0924) loss_rec_all: 0.1234 (0.1278) loss_rec_sfr: 0.1691 (0.1816) loss_cl: -0.3665 (-0.3663) time: 0.8643 data: 0.0002 max mem: 29859 [11:20:50.077707] Epoch: [39] [ 60/850] eta: 0:12:08 lr: 0.002344 loss: 0.0919 (0.0928) loss_rec_all: 0.1272 (0.1281) loss_rec_sfr: 0.1696 (0.1823) loss_cl: -0.3671 (-0.3665) time: 0.8628 data: 0.0002 max mem: 29859 [11:21:07.304013] Epoch: [39] [ 80/850] eta: 0:11:38 lr: 0.002346 loss: 0.0905 (0.0928) loss_rec_all: 0.1257 (0.1281) loss_rec_sfr: 0.2000 (0.1851) loss_cl: -0.3664 (-0.3665) time: 0.8613 data: 0.0002 max mem: 29859 [11:21:24.557102] Epoch: [39] [100/850] eta: 0:11:13 lr: 0.002347 loss: 0.0864 (0.0915) loss_rec_all: 0.1219 (0.1269) loss_rec_sfr: 0.1398 (0.1812) loss_cl: -0.3670 (-0.3666) time: 0.8626 data: 0.0002 max mem: 29859 [11:21:41.856031] Epoch: [39] [120/850] eta: 0:10:51 lr: 0.002348 loss: 0.0854 (0.0909) loss_rec_all: 0.1211 (0.1263) loss_rec_sfr: 0.2023 (0.1829) loss_cl: -0.3678 (-0.3668) time: 0.8649 data: 0.0004 max mem: 29859 [11:21:59.018399] Epoch: [39] [140/850] eta: 0:10:30 lr: 0.002350 loss: 0.0855 (0.0905) loss_rec_all: 0.1213 (0.1259) loss_rec_sfr: 0.1656 (0.1819) loss_cl: -0.3669 (-0.3668) time: 0.8581 data: 0.0002 max mem: 29859 [11:22:16.318884] Epoch: [39] [160/850] eta: 0:10:10 lr: 0.002351 loss: 0.0896 (0.0906) loss_rec_all: 0.1246 (0.1260) loss_rec_sfr: 0.1928 (0.1832) loss_cl: -0.3665 (-0.3668) time: 0.8649 data: 0.0002 max mem: 29859 [11:22:33.654391] Epoch: [39] [180/850] eta: 0:09:51 lr: 0.002352 loss: 0.0923 (0.0908) loss_rec_all: 0.1276 (0.1262) loss_rec_sfr: 0.1782 (0.1841) loss_cl: -0.3662 (-0.3667) time: 0.8667 data: 0.0003 max mem: 29859 [11:22:50.876437] Epoch: [39] [200/850] eta: 0:09:32 lr: 0.002354 loss: 0.0884 (0.0906) loss_rec_all: 0.1240 (0.1259) loss_rec_sfr: 0.1733 (0.1848) loss_cl: -0.3668 (-0.3667) time: 0.8611 data: 0.0002 max mem: 29859 [11:23:08.078194] Epoch: [39] [220/850] eta: 0:09:13 lr: 0.002355 loss: 0.0902 (0.0906) loss_rec_all: 0.1258 (0.1260) loss_rec_sfr: 0.1542 (0.1837) loss_cl: -0.3671 (-0.3667) time: 0.8600 data: 0.0002 max mem: 29859 [11:23:25.675090] Epoch: [39] [240/850] eta: 0:08:56 lr: 0.002357 loss: 0.0922 (0.0908) loss_rec_all: 0.1279 (0.1262) loss_rec_sfr: 0.1614 (0.1829) loss_cl: -0.3665 (-0.3667) time: 0.8798 data: 0.0003 max mem: 29859 [11:23:42.864610] Epoch: [39] [260/850] eta: 0:08:37 lr: 0.002358 loss: 0.0923 (0.0909) loss_rec_all: 0.1274 (0.1263) loss_rec_sfr: 0.1647 (0.1831) loss_cl: -0.3660 (-0.3666) time: 0.8594 data: 0.0002 max mem: 29859 [11:24:00.090983] Epoch: [39] [280/850] eta: 0:08:19 lr: 0.002360 loss: 0.0868 (0.0908) loss_rec_all: 0.1219 (0.1262) loss_rec_sfr: 0.1631 (0.1828) loss_cl: -0.3669 (-0.3667) time: 0.8613 data: 0.0002 max mem: 29859 [11:24:17.492266] Epoch: [39] [300/850] eta: 0:08:01 lr: 0.002361 loss: 0.0879 (0.0907) loss_rec_all: 0.1229 (0.1261) loss_rec_sfr: 0.1976 (0.1833) loss_cl: -0.3675 (-0.3667) time: 0.8700 data: 0.0005 max mem: 29859 [11:24:34.829795] Epoch: [39] [320/850] eta: 0:07:43 lr: 0.002363 loss: 0.0894 (0.0907) loss_rec_all: 0.1249 (0.1261) loss_rec_sfr: 0.2072 (0.1835) loss_cl: -0.3676 (-0.3668) time: 0.8668 data: 0.0002 max mem: 29859 [11:24:52.016357] Epoch: [39] [340/850] eta: 0:07:26 lr: 0.002364 loss: 0.0926 (0.0910) loss_rec_all: 0.1275 (0.1264) loss_rec_sfr: 0.2045 (0.1848) loss_cl: -0.3669 (-0.3668) time: 0.8593 data: 0.0002 max mem: 29859 [11:25:09.364234] Epoch: [39] [360/850] eta: 0:07:08 lr: 0.002365 loss: 0.0863 (0.0909) loss_rec_all: 0.1215 (0.1262) loss_rec_sfr: 0.1971 (0.1845) loss_cl: -0.3666 (-0.3668) time: 0.8673 data: 0.0004 max mem: 29859 [11:25:26.638768] Epoch: [39] [380/850] eta: 0:06:50 lr: 0.002367 loss: 0.0866 (0.0908) loss_rec_all: 0.1218 (0.1262) loss_rec_sfr: 0.1937 (0.1848) loss_cl: -0.3675 (-0.3668) time: 0.8637 data: 0.0002 max mem: 29859 [11:25:43.864453] Epoch: [39] [400/850] eta: 0:06:32 lr: 0.002368 loss: 0.0860 (0.0906) loss_rec_all: 0.1213 (0.1260) loss_rec_sfr: 0.1716 (0.1841) loss_cl: -0.3670 (-0.3668) time: 0.8612 data: 0.0002 max mem: 29859 [11:26:01.122674] Epoch: [39] [420/850] eta: 0:06:15 lr: 0.002369 loss: 0.0815 (0.0903) loss_rec_all: 0.1173 (0.1257) loss_rec_sfr: 0.1536 (0.1836) loss_cl: -0.3668 (-0.3668) time: 0.8628 data: 0.0003 max mem: 29859 [11:26:18.408241] Epoch: [39] [440/850] eta: 0:05:57 lr: 0.002371 loss: 0.0824 (0.0901) loss_rec_all: 0.1182 (0.1255) loss_rec_sfr: 0.1856 (0.1830) loss_cl: -0.3662 (-0.3668) time: 0.8642 data: 0.0002 max mem: 29859 [11:26:35.604647] Epoch: [39] [460/850] eta: 0:05:39 lr: 0.002372 loss: 0.0889 (0.0901) loss_rec_all: 0.1240 (0.1255) loss_rec_sfr: 0.2225 (0.1838) loss_cl: -0.3663 (-0.3668) time: 0.8598 data: 0.0002 max mem: 29859 [11:26:52.887756] Epoch: [39] [480/850] eta: 0:05:22 lr: 0.002374 loss: 0.0873 (0.0901) loss_rec_all: 0.1226 (0.1255) loss_rec_sfr: 0.1597 (0.1837) loss_cl: -0.3661 (-0.3667) time: 0.8641 data: 0.0002 max mem: 29859 [11:27:10.130616] Epoch: [39] [500/850] eta: 0:05:04 lr: 0.002375 loss: 0.0903 (0.0903) loss_rec_all: 0.1258 (0.1257) loss_rec_sfr: 0.2032 (0.1840) loss_cl: -0.3665 (-0.3667) time: 0.8621 data: 0.0002 max mem: 29859 [11:27:27.437646] Epoch: [39] [520/850] eta: 0:04:47 lr: 0.002377 loss: 0.0932 (0.0905) loss_rec_all: 0.1288 (0.1259) loss_rec_sfr: 0.1776 (0.1843) loss_cl: -0.3666 (-0.3667) time: 0.8653 data: 0.0002 max mem: 29859 [11:27:44.662664] Epoch: [39] [540/850] eta: 0:04:29 lr: 0.002378 loss: 0.0914 (0.0907) loss_rec_all: 0.1268 (0.1260) loss_rec_sfr: 0.1714 (0.1844) loss_cl: -0.3669 (-0.3667) time: 0.8612 data: 0.0002 max mem: 29859 [11:28:01.937082] Epoch: [39] [560/850] eta: 0:04:12 lr: 0.002380 loss: 0.0920 (0.0907) loss_rec_all: 0.1270 (0.1261) loss_rec_sfr: 0.2029 (0.1850) loss_cl: -0.3668 (-0.3667) time: 0.8637 data: 0.0002 max mem: 29859 [11:28:19.190671] Epoch: [39] [580/850] eta: 0:03:54 lr: 0.002381 loss: 0.0891 (0.0907) loss_rec_all: 0.1243 (0.1261) loss_rec_sfr: 0.1655 (0.1850) loss_cl: -0.3673 (-0.3668) time: 0.8626 data: 0.0002 max mem: 29859 [11:28:36.453590] Epoch: [39] [600/850] eta: 0:03:37 lr: 0.002382 loss: 0.0886 (0.0907) loss_rec_all: 0.1242 (0.1261) loss_rec_sfr: 0.1642 (0.1848) loss_cl: -0.3681 (-0.3668) time: 0.8631 data: 0.0002 max mem: 29859 [11:28:53.684627] Epoch: [39] [620/850] eta: 0:03:19 lr: 0.002383 loss: 0.0859 (0.0906) loss_rec_all: 0.1216 (0.1260) loss_rec_sfr: 0.1570 (0.1842) loss_cl: -0.3665 (-0.3668) time: 0.8615 data: 0.0002 max mem: 29859 [11:29:10.925838] Epoch: [39] [640/850] eta: 0:03:02 lr: 0.002385 loss: 0.0836 (0.0904) loss_rec_all: 0.1193 (0.1258) loss_rec_sfr: 0.1556 (0.1840) loss_cl: -0.3665 (-0.3668) time: 0.8620 data: 0.0002 max mem: 29859 [11:29:28.151860] Epoch: [39] [660/850] eta: 0:02:45 lr: 0.002386 loss: 0.0877 (0.0904) loss_rec_all: 0.1229 (0.1258) loss_rec_sfr: 0.1921 (0.1841) loss_cl: -0.3660 (-0.3667) time: 0.8612 data: 0.0002 max mem: 29859 [11:29:45.449888] Epoch: [39] [680/850] eta: 0:02:27 lr: 0.002388 loss: 0.0848 (0.0903) loss_rec_all: 0.1205 (0.1257) loss_rec_sfr: 0.1594 (0.1838) loss_cl: -0.3667 (-0.3667) time: 0.8648 data: 0.0002 max mem: 29859 [11:30:02.653300] Epoch: [39] [700/850] eta: 0:02:10 lr: 0.002389 loss: 0.0894 (0.0903) loss_rec_all: 0.1252 (0.1257) loss_rec_sfr: 0.1745 (0.1836) loss_cl: -0.3672 (-0.3667) time: 0.8601 data: 0.0002 max mem: 29859 [11:30:19.956334] Epoch: [39] [720/850] eta: 0:01:52 lr: 0.002391 loss: 0.0923 (0.0904) loss_rec_all: 0.1277 (0.1257) loss_rec_sfr: 0.2245 (0.1842) loss_cl: -0.3678 (-0.3668) time: 0.8651 data: 0.0003 max mem: 29859 [11:30:37.202271] Epoch: [39] [740/850] eta: 0:01:35 lr: 0.002392 loss: 0.1053 (0.0909) loss_rec_all: 0.1406 (0.1263) loss_rec_sfr: 0.2217 (0.1853) loss_cl: -0.3676 (-0.3668) time: 0.8622 data: 0.0002 max mem: 29859 [11:30:54.434446] Epoch: [39] [760/850] eta: 0:01:18 lr: 0.002394 loss: 0.1024 (0.0913) loss_rec_all: 0.1379 (0.1267) loss_rec_sfr: 0.2266 (0.1858) loss_cl: -0.3668 (-0.3668) time: 0.8616 data: 0.0002 max mem: 29859 [11:31:11.758213] Epoch: [39] [780/850] eta: 0:01:00 lr: 0.002395 loss: 0.0958 (0.0916) loss_rec_all: 0.1308 (0.1270) loss_rec_sfr: 0.2184 (0.1862) loss_cl: -0.3667 (-0.3668) time: 0.8661 data: 0.0002 max mem: 29859 [11:31:29.054252] Epoch: [39] [800/850] eta: 0:00:43 lr: 0.002396 loss: 0.0976 (0.0918) loss_rec_all: 0.1325 (0.1272) loss_rec_sfr: 0.2112 (0.1864) loss_cl: -0.3658 (-0.3667) time: 0.8647 data: 0.0002 max mem: 29859 [11:31:46.238024] Epoch: [39] [820/850] eta: 0:00:26 lr: 0.002398 loss: 0.0968 (0.0920) loss_rec_all: 0.1318 (0.1274) loss_rec_sfr: 0.2161 (0.1866) loss_cl: -0.3662 (-0.3667) time: 0.8591 data: 0.0002 max mem: 29859 [11:32:03.563737] Epoch: [39] [840/850] eta: 0:00:08 lr: 0.002399 loss: 0.0940 (0.0922) loss_rec_all: 0.1294 (0.1275) loss_rec_sfr: 0.1517 (0.1865) loss_cl: -0.3665 (-0.3667) time: 0.8662 data: 0.0005 max mem: 29859 [11:32:11.361883] Epoch: [39] [849/850] eta: 0:00:00 lr: 0.002400 loss: 0.0913 (0.0921) loss_rec_all: 0.1269 (0.1275) loss_rec_sfr: 0.1631 (0.1864) loss_cl: -0.3666 (-0.3667) time: 0.8689 data: 0.0006 max mem: 29859 [11:32:11.530947] Epoch: [39] Total time: 0:12:17 (0.8679 s / it) [11:32:11.535829] Averaged stats: lr: 0.002400 loss: 0.0913 (0.0922) loss_rec_all: 0.1269 (0.1276) loss_rec_sfr: 0.1631 (0.1865) loss_cl: -0.3666 (-0.3668) [11:32:11.554638] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [11:32:16.266289] Epoch: [40] [ 0/850] eta: 1:06:44 lr: 0.002400 loss: 0.0878 (0.0878) loss_rec_all: 0.1228 (0.1228) loss_rec_sfr: 0.2297 (0.2297) loss_cl: -0.3667 (-0.3667) time: 4.7108 data: 3.4465 max mem: 29859 [11:32:33.409784] Epoch: [40] [ 20/850] eta: 0:14:23 lr: 0.002400 loss: 0.0884 (0.0908) loss_rec_all: 0.1240 (0.1262) loss_rec_sfr: 0.2009 (0.1854) loss_cl: -0.3672 (-0.3669) time: 0.8571 data: 0.0001 max mem: 29859 [11:32:50.653371] Epoch: [40] [ 40/850] eta: 0:12:52 lr: 0.002400 loss: 0.0879 (0.0907) loss_rec_all: 0.1229 (0.1260) loss_rec_sfr: 0.2199 (0.1945) loss_cl: -0.3677 (-0.3673) time: 0.8621 data: 0.0003 max mem: 29859 [11:33:08.084890] Epoch: [40] [ 60/850] eta: 0:12:12 lr: 0.002400 loss: 0.0908 (0.0914) loss_rec_all: 0.1261 (0.1268) loss_rec_sfr: 0.1646 (0.1887) loss_cl: -0.3663 (-0.3670) time: 0.8715 data: 0.0003 max mem: 29859 [11:33:25.331585] Epoch: [40] [ 80/850] eta: 0:11:41 lr: 0.002400 loss: 0.0859 (0.0906) loss_rec_all: 0.1212 (0.1259) loss_rec_sfr: 0.1586 (0.1846) loss_cl: -0.3658 (-0.3667) time: 0.8623 data: 0.0002 max mem: 29859 [11:33:42.525297] Epoch: [40] [100/850] eta: 0:11:15 lr: 0.002400 loss: 0.0863 (0.0898) loss_rec_all: 0.1214 (0.1252) loss_rec_sfr: 0.1816 (0.1855) loss_cl: -0.3662 (-0.3666) time: 0.8596 data: 0.0002 max mem: 29859 [11:33:59.809616] Epoch: [40] [120/850] eta: 0:10:53 lr: 0.002400 loss: 0.0872 (0.0899) loss_rec_all: 0.1230 (0.1252) loss_rec_sfr: 0.1602 (0.1837) loss_cl: -0.3665 (-0.3666) time: 0.8642 data: 0.0002 max mem: 29859 [11:34:17.001879] Epoch: [40] [140/850] eta: 0:10:31 lr: 0.002400 loss: 0.0880 (0.0899) loss_rec_all: 0.1235 (0.1253) loss_rec_sfr: 0.1914 (0.1840) loss_cl: -0.3674 (-0.3667) time: 0.8596 data: 0.0002 max mem: 29859 [11:34:34.237017] Epoch: [40] [160/850] eta: 0:10:11 lr: 0.002400 loss: 0.0887 (0.0902) loss_rec_all: 0.1240 (0.1255) loss_rec_sfr: 0.1809 (0.1840) loss_cl: -0.3682 (-0.3669) time: 0.8617 data: 0.0001 max mem: 29859 [11:34:51.440547] Epoch: [40] [180/850] eta: 0:09:51 lr: 0.002400 loss: 0.0859 (0.0898) loss_rec_all: 0.1217 (0.1252) loss_rec_sfr: 0.1590 (0.1824) loss_cl: -0.3669 (-0.3669) time: 0.8601 data: 0.0001 max mem: 29859 [11:35:08.735291] Epoch: [40] [200/850] eta: 0:09:32 lr: 0.002400 loss: 0.0863 (0.0895) loss_rec_all: 0.1214 (0.1249) loss_rec_sfr: 0.2005 (0.1832) loss_cl: -0.3671 (-0.3669) time: 0.8647 data: 0.0002 max mem: 29859 [11:35:25.932249] Epoch: [40] [220/850] eta: 0:09:14 lr: 0.002400 loss: 0.0835 (0.0890) loss_rec_all: 0.1188 (0.1244) loss_rec_sfr: 0.1597 (0.1830) loss_cl: -0.3671 (-0.3669) time: 0.8598 data: 0.0002 max mem: 29859 [11:35:43.200837] Epoch: [40] [240/850] eta: 0:08:55 lr: 0.002400 loss: 0.0868 (0.0888) loss_rec_all: 0.1218 (0.1242) loss_rec_sfr: 0.1662 (0.1832) loss_cl: -0.3664 (-0.3669) time: 0.8634 data: 0.0002 max mem: 29859 [11:36:00.440851] Epoch: [40] [260/850] eta: 0:08:37 lr: 0.002400 loss: 0.0835 (0.0886) loss_rec_all: 0.1191 (0.1240) loss_rec_sfr: 0.1620 (0.1831) loss_cl: -0.3664 (-0.3668) time: 0.8620 data: 0.0002 max mem: 29859 [11:36:17.680982] Epoch: [40] [280/850] eta: 0:08:19 lr: 0.002400 loss: 0.0857 (0.0886) loss_rec_all: 0.1212 (0.1240) loss_rec_sfr: 0.1701 (0.1830) loss_cl: -0.3661 (-0.3668) time: 0.8620 data: 0.0002 max mem: 29859 [11:36:34.880700] Epoch: [40] [300/850] eta: 0:08:01 lr: 0.002400 loss: 0.0923 (0.0890) loss_rec_all: 0.1275 (0.1244) loss_rec_sfr: 0.1820 (0.1830) loss_cl: -0.3663 (-0.3668) time: 0.8599 data: 0.0002 max mem: 29859 [11:36:52.168515] Epoch: [40] [320/850] eta: 0:07:43 lr: 0.002400 loss: 0.0874 (0.0889) loss_rec_all: 0.1225 (0.1243) loss_rec_sfr: 0.1527 (0.1825) loss_cl: -0.3672 (-0.3668) time: 0.8643 data: 0.0002 max mem: 29859 [11:37:09.386682] Epoch: [40] [340/850] eta: 0:07:25 lr: 0.002400 loss: 0.0912 (0.0893) loss_rec_all: 0.1267 (0.1247) loss_rec_sfr: 0.2182 (0.1839) loss_cl: -0.3665 (-0.3668) time: 0.8609 data: 0.0002 max mem: 29859 [11:37:26.605916] Epoch: [40] [360/850] eta: 0:07:07 lr: 0.002400 loss: 0.0903 (0.0893) loss_rec_all: 0.1255 (0.1247) loss_rec_sfr: 0.1482 (0.1835) loss_cl: -0.3664 (-0.3667) time: 0.8609 data: 0.0002 max mem: 29859 [11:37:43.869671] Epoch: [40] [380/850] eta: 0:06:49 lr: 0.002400 loss: 0.0852 (0.0892) loss_rec_all: 0.1205 (0.1246) loss_rec_sfr: 0.1937 (0.1837) loss_cl: -0.3667 (-0.3667) time: 0.8631 data: 0.0002 max mem: 29859 [11:38:01.116279] Epoch: [40] [400/850] eta: 0:06:32 lr: 0.002400 loss: 0.0857 (0.0892) loss_rec_all: 0.1213 (0.1246) loss_rec_sfr: 0.1528 (0.1830) loss_cl: -0.3666 (-0.3667) time: 0.8623 data: 0.0002 max mem: 29859 [11:38:18.329756] Epoch: [40] [420/850] eta: 0:06:14 lr: 0.002400 loss: 0.0867 (0.0893) loss_rec_all: 0.1222 (0.1247) loss_rec_sfr: 0.2056 (0.1837) loss_cl: -0.3681 (-0.3668) time: 0.8606 data: 0.0002 max mem: 29859 [11:38:35.563990] Epoch: [40] [440/850] eta: 0:05:56 lr: 0.002400 loss: 0.0871 (0.0894) loss_rec_all: 0.1230 (0.1248) loss_rec_sfr: 0.1593 (0.1833) loss_cl: -0.3678 (-0.3668) time: 0.8617 data: 0.0002 max mem: 29859 [11:38:52.801671] Epoch: [40] [460/850] eta: 0:05:39 lr: 0.002400 loss: 0.0898 (0.0895) loss_rec_all: 0.1252 (0.1249) loss_rec_sfr: 0.2167 (0.1838) loss_cl: -0.3673 (-0.3668) time: 0.8618 data: 0.0002 max mem: 29859 [11:39:10.036588] Epoch: [40] [480/850] eta: 0:05:21 lr: 0.002400 loss: 0.0890 (0.0896) loss_rec_all: 0.1246 (0.1250) loss_rec_sfr: 0.1933 (0.1838) loss_cl: -0.3667 (-0.3668) time: 0.8617 data: 0.0002 max mem: 29859 [11:39:27.213340] Epoch: [40] [500/850] eta: 0:05:04 lr: 0.002400 loss: 0.0847 (0.0893) loss_rec_all: 0.1198 (0.1247) loss_rec_sfr: 0.1526 (0.1832) loss_cl: -0.3670 (-0.3668) time: 0.8588 data: 0.0001 max mem: 29859 [11:39:44.490417] Epoch: [40] [520/850] eta: 0:04:46 lr: 0.002400 loss: 0.0889 (0.0895) loss_rec_all: 0.1240 (0.1249) loss_rec_sfr: 0.1952 (0.1837) loss_cl: -0.3667 (-0.3668) time: 0.8638 data: 0.0002 max mem: 29859 [11:40:01.675446] Epoch: [40] [540/850] eta: 0:04:29 lr: 0.002400 loss: 0.0870 (0.0895) loss_rec_all: 0.1225 (0.1249) loss_rec_sfr: 0.1938 (0.1837) loss_cl: -0.3665 (-0.3668) time: 0.8592 data: 0.0002 max mem: 29859 [11:40:18.914033] Epoch: [40] [560/850] eta: 0:04:11 lr: 0.002400 loss: 0.0857 (0.0894) loss_rec_all: 0.1212 (0.1248) loss_rec_sfr: 0.1856 (0.1838) loss_cl: -0.3660 (-0.3668) time: 0.8619 data: 0.0002 max mem: 29859 [11:40:36.122780] Epoch: [40] [580/850] eta: 0:03:54 lr: 0.002400 loss: 0.0834 (0.0893) loss_rec_all: 0.1190 (0.1247) loss_rec_sfr: 0.1477 (0.1830) loss_cl: -0.3671 (-0.3668) time: 0.8604 data: 0.0002 max mem: 29859 [11:40:53.401356] Epoch: [40] [600/850] eta: 0:03:37 lr: 0.002400 loss: 0.0851 (0.0892) loss_rec_all: 0.1206 (0.1246) loss_rec_sfr: 0.1936 (0.1831) loss_cl: -0.3680 (-0.3668) time: 0.8639 data: 0.0002 max mem: 29859 [11:41:10.589731] Epoch: [40] [620/850] eta: 0:03:19 lr: 0.002400 loss: 0.0839 (0.0890) loss_rec_all: 0.1196 (0.1244) loss_rec_sfr: 0.2019 (0.1833) loss_cl: -0.3669 (-0.3668) time: 0.8594 data: 0.0002 max mem: 29859 [11:41:27.817274] Epoch: [40] [640/850] eta: 0:03:02 lr: 0.002400 loss: 0.0888 (0.0891) loss_rec_all: 0.1240 (0.1245) loss_rec_sfr: 0.1869 (0.1836) loss_cl: -0.3662 (-0.3668) time: 0.8613 data: 0.0002 max mem: 29859 [11:41:45.034708] Epoch: [40] [660/850] eta: 0:02:44 lr: 0.002400 loss: 0.0845 (0.0891) loss_rec_all: 0.1203 (0.1245) loss_rec_sfr: 0.1875 (0.1835) loss_cl: -0.3672 (-0.3668) time: 0.8608 data: 0.0002 max mem: 29859 [11:42:02.233190] Epoch: [40] [680/850] eta: 0:02:27 lr: 0.002400 loss: 0.0850 (0.0890) loss_rec_all: 0.1207 (0.1244) loss_rec_sfr: 0.1548 (0.1834) loss_cl: -0.3673 (-0.3668) time: 0.8599 data: 0.0002 max mem: 29859 [11:42:19.420848] Epoch: [40] [700/850] eta: 0:02:10 lr: 0.002400 loss: 0.0905 (0.0891) loss_rec_all: 0.1262 (0.1245) loss_rec_sfr: 0.2083 (0.1839) loss_cl: -0.3663 (-0.3668) time: 0.8593 data: 0.0002 max mem: 29859 [11:42:36.702387] Epoch: [40] [720/850] eta: 0:01:52 lr: 0.002400 loss: 0.0887 (0.0891) loss_rec_all: 0.1244 (0.1245) loss_rec_sfr: 0.1623 (0.1837) loss_cl: -0.3660 (-0.3668) time: 0.8640 data: 0.0002 max mem: 29859 [11:42:53.915284] Epoch: [40] [740/850] eta: 0:01:35 lr: 0.002400 loss: 0.0875 (0.0892) loss_rec_all: 0.1232 (0.1246) loss_rec_sfr: 0.1694 (0.1839) loss_cl: -0.3670 (-0.3668) time: 0.8606 data: 0.0002 max mem: 29859 [11:43:11.138024] Epoch: [40] [760/850] eta: 0:01:18 lr: 0.002400 loss: 0.0839 (0.0891) loss_rec_all: 0.1196 (0.1245) loss_rec_sfr: 0.1513 (0.1835) loss_cl: -0.3677 (-0.3668) time: 0.8611 data: 0.0002 max mem: 29859 [11:43:28.388314] Epoch: [40] [780/850] eta: 0:01:00 lr: 0.002400 loss: 0.0812 (0.0890) loss_rec_all: 0.1170 (0.1244) loss_rec_sfr: 0.1988 (0.1836) loss_cl: -0.3670 (-0.3668) time: 0.8624 data: 0.0002 max mem: 29859 [11:43:45.635871] Epoch: [40] [800/850] eta: 0:00:43 lr: 0.002400 loss: 0.0825 (0.0889) loss_rec_all: 0.1180 (0.1243) loss_rec_sfr: 0.1541 (0.1833) loss_cl: -0.3666 (-0.3668) time: 0.8623 data: 0.0002 max mem: 29859 [11:44:02.826744] Epoch: [40] [820/850] eta: 0:00:25 lr: 0.002400 loss: 0.0835 (0.0888) loss_rec_all: 0.1187 (0.1242) loss_rec_sfr: 0.1951 (0.1836) loss_cl: -0.3663 (-0.3668) time: 0.8595 data: 0.0002 max mem: 29859 [11:44:20.073279] Epoch: [40] [840/850] eta: 0:00:08 lr: 0.002400 loss: 0.0810 (0.0886) loss_rec_all: 0.1161 (0.1240) loss_rec_sfr: 0.1875 (0.1834) loss_cl: -0.3667 (-0.3668) time: 0.8623 data: 0.0005 max mem: 29859 [11:44:27.843153] Epoch: [40] [849/850] eta: 0:00:00 lr: 0.002400 loss: 0.0842 (0.0887) loss_rec_all: 0.1200 (0.1241) loss_rec_sfr: 0.2066 (0.1836) loss_cl: -0.3668 (-0.3668) time: 0.8631 data: 0.0004 max mem: 29859 [11:44:27.995027] Epoch: [40] Total time: 0:12:16 (0.8664 s / it) [11:44:27.999110] Averaged stats: lr: 0.002400 loss: 0.0842 (0.0884) loss_rec_all: 0.1200 (0.1238) loss_rec_sfr: 0.2066 (0.1828) loss_cl: -0.3668 (-0.3668) [11:44:28.004428] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [11:44:32.638224] Epoch: [41] [ 0/850] eta: 1:05:38 lr: 0.002400 loss: 0.0885 (0.0885) loss_rec_all: 0.1243 (0.1243) loss_rec_sfr: 0.1477 (0.1477) loss_cl: -0.3684 (-0.3684) time: 4.6331 data: 3.2474 max mem: 29859 [11:44:49.786186] Epoch: [41] [ 20/850] eta: 0:14:20 lr: 0.002400 loss: 0.0972 (0.0973) loss_rec_all: 0.1327 (0.1327) loss_rec_sfr: 0.1931 (0.2005) loss_cl: -0.3674 (-0.3673) time: 0.8573 data: 0.0002 max mem: 29859 [11:45:06.989055] Epoch: [41] [ 40/850] eta: 0:12:50 lr: 0.002400 loss: 0.0902 (0.0936) loss_rec_all: 0.1253 (0.1290) loss_rec_sfr: 0.1758 (0.1908) loss_cl: -0.3671 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [11:45:24.313569] Epoch: [41] [ 60/850] eta: 0:12:09 lr: 0.002400 loss: 0.0890 (0.0931) loss_rec_all: 0.1247 (0.1284) loss_rec_sfr: 0.1979 (0.1910) loss_cl: -0.3674 (-0.3672) time: 0.8661 data: 0.0002 max mem: 29859 [11:45:41.622268] Epoch: [41] [ 80/850] eta: 0:11:39 lr: 0.002400 loss: 0.0875 (0.0921) loss_rec_all: 0.1231 (0.1275) loss_rec_sfr: 0.2102 (0.1924) loss_cl: -0.3667 (-0.3671) time: 0.8654 data: 0.0002 max mem: 29859 [11:45:58.789930] Epoch: [41] [100/850] eta: 0:11:14 lr: 0.002400 loss: 0.0846 (0.0914) loss_rec_all: 0.1197 (0.1268) loss_rec_sfr: 0.1642 (0.1894) loss_cl: -0.3670 (-0.3670) time: 0.8583 data: 0.0001 max mem: 29859 [11:46:16.024365] Epoch: [41] [120/850] eta: 0:10:51 lr: 0.002400 loss: 0.0803 (0.0898) loss_rec_all: 0.1158 (0.1252) loss_rec_sfr: 0.1288 (0.1836) loss_cl: -0.3659 (-0.3668) time: 0.8617 data: 0.0002 max mem: 29859 [11:46:33.246764] Epoch: [41] [140/850] eta: 0:10:30 lr: 0.002400 loss: 0.0786 (0.0886) loss_rec_all: 0.1139 (0.1240) loss_rec_sfr: 0.1518 (0.1805) loss_cl: -0.3664 (-0.3668) time: 0.8611 data: 0.0002 max mem: 29859 [11:46:50.470646] Epoch: [41] [160/850] eta: 0:10:10 lr: 0.002400 loss: 0.0783 (0.0876) loss_rec_all: 0.1137 (0.1230) loss_rec_sfr: 0.1361 (0.1781) loss_cl: -0.3666 (-0.3668) time: 0.8611 data: 0.0002 max mem: 29859 [11:47:07.630085] Epoch: [41] [180/850] eta: 0:09:50 lr: 0.002400 loss: 0.0847 (0.0877) loss_rec_all: 0.1205 (0.1231) loss_rec_sfr: 0.1396 (0.1776) loss_cl: -0.3669 (-0.3668) time: 0.8579 data: 0.0002 max mem: 29859 [11:47:24.906073] Epoch: [41] [200/850] eta: 0:09:32 lr: 0.002400 loss: 0.0865 (0.0877) loss_rec_all: 0.1218 (0.1231) loss_rec_sfr: 0.1998 (0.1777) loss_cl: -0.3674 (-0.3668) time: 0.8638 data: 0.0002 max mem: 29859 [11:47:42.087925] Epoch: [41] [220/850] eta: 0:09:13 lr: 0.002400 loss: 0.0893 (0.0879) loss_rec_all: 0.1243 (0.1234) loss_rec_sfr: 0.1894 (0.1796) loss_cl: -0.3674 (-0.3669) time: 0.8590 data: 0.0002 max mem: 29859 [11:47:59.327322] Epoch: [41] [240/850] eta: 0:08:54 lr: 0.002400 loss: 0.0870 (0.0879) loss_rec_all: 0.1225 (0.1233) loss_rec_sfr: 0.1802 (0.1803) loss_cl: -0.3674 (-0.3669) time: 0.8619 data: 0.0002 max mem: 29859 [11:48:16.535603] Epoch: [41] [260/850] eta: 0:08:36 lr: 0.002400 loss: 0.0882 (0.0882) loss_rec_all: 0.1236 (0.1236) loss_rec_sfr: 0.1797 (0.1808) loss_cl: -0.3664 (-0.3669) time: 0.8604 data: 0.0002 max mem: 29859 [11:48:33.804184] Epoch: [41] [280/850] eta: 0:08:18 lr: 0.002400 loss: 0.0883 (0.0884) loss_rec_all: 0.1235 (0.1238) loss_rec_sfr: 0.1886 (0.1811) loss_cl: -0.3663 (-0.3668) time: 0.8634 data: 0.0002 max mem: 29859 [11:48:50.983261] Epoch: [41] [300/850] eta: 0:08:00 lr: 0.002400 loss: 0.0863 (0.0883) loss_rec_all: 0.1221 (0.1237) loss_rec_sfr: 0.1487 (0.1803) loss_cl: -0.3663 (-0.3668) time: 0.8589 data: 0.0002 max mem: 29859 [11:49:08.192680] Epoch: [41] [320/850] eta: 0:07:42 lr: 0.002400 loss: 0.0889 (0.0886) loss_rec_all: 0.1245 (0.1240) loss_rec_sfr: 0.1986 (0.1809) loss_cl: -0.3676 (-0.3668) time: 0.8604 data: 0.0002 max mem: 29859 [11:49:25.428144] Epoch: [41] [340/850] eta: 0:07:24 lr: 0.002400 loss: 0.0846 (0.0886) loss_rec_all: 0.1199 (0.1240) loss_rec_sfr: 0.1988 (0.1811) loss_cl: -0.3666 (-0.3668) time: 0.8617 data: 0.0002 max mem: 29859 [11:49:42.622876] Epoch: [41] [360/850] eta: 0:07:07 lr: 0.002400 loss: 0.0861 (0.0886) loss_rec_all: 0.1212 (0.1240) loss_rec_sfr: 0.1979 (0.1814) loss_cl: -0.3667 (-0.3668) time: 0.8597 data: 0.0002 max mem: 29859 [11:49:59.835016] Epoch: [41] [380/850] eta: 0:06:49 lr: 0.002400 loss: 0.0799 (0.0882) loss_rec_all: 0.1156 (0.1236) loss_rec_sfr: 0.1590 (0.1808) loss_cl: -0.3675 (-0.3669) time: 0.8605 data: 0.0002 max mem: 29859 [11:50:17.118041] Epoch: [41] [400/850] eta: 0:06:31 lr: 0.002400 loss: 0.0813 (0.0880) loss_rec_all: 0.1169 (0.1234) loss_rec_sfr: 0.1533 (0.1801) loss_cl: -0.3663 (-0.3668) time: 0.8641 data: 0.0002 max mem: 29859 [11:50:34.311642] Epoch: [41] [420/850] eta: 0:06:14 lr: 0.002400 loss: 0.0798 (0.0877) loss_rec_all: 0.1152 (0.1232) loss_rec_sfr: 0.1568 (0.1797) loss_cl: -0.3673 (-0.3669) time: 0.8596 data: 0.0002 max mem: 29859 [11:50:51.550350] Epoch: [41] [440/850] eta: 0:05:56 lr: 0.002400 loss: 0.0812 (0.0875) loss_rec_all: 0.1164 (0.1229) loss_rec_sfr: 0.1843 (0.1796) loss_cl: -0.3670 (-0.3669) time: 0.8619 data: 0.0002 max mem: 29859 [11:51:08.794465] Epoch: [41] [460/850] eta: 0:05:39 lr: 0.002400 loss: 0.0756 (0.0871) loss_rec_all: 0.1113 (0.1225) loss_rec_sfr: 0.1392 (0.1784) loss_cl: -0.3675 (-0.3669) time: 0.8622 data: 0.0002 max mem: 29859 [11:51:26.026663] Epoch: [41] [480/850] eta: 0:05:21 lr: 0.002400 loss: 0.0850 (0.0870) loss_rec_all: 0.1207 (0.1224) loss_rec_sfr: 0.1634 (0.1784) loss_cl: -0.3672 (-0.3669) time: 0.8616 data: 0.0002 max mem: 29859 [11:51:43.203137] Epoch: [41] [500/850] eta: 0:05:04 lr: 0.002400 loss: 0.0844 (0.0870) loss_rec_all: 0.1201 (0.1224) loss_rec_sfr: 0.1855 (0.1787) loss_cl: -0.3668 (-0.3669) time: 0.8588 data: 0.0002 max mem: 29859 [11:52:00.471430] Epoch: [41] [520/850] eta: 0:04:46 lr: 0.002400 loss: 0.0838 (0.0869) loss_rec_all: 0.1195 (0.1223) loss_rec_sfr: 0.1521 (0.1781) loss_cl: -0.3666 (-0.3669) time: 0.8634 data: 0.0002 max mem: 29859 [11:52:17.687210] Epoch: [41] [540/850] eta: 0:04:29 lr: 0.002400 loss: 0.0865 (0.0870) loss_rec_all: 0.1222 (0.1224) loss_rec_sfr: 0.1702 (0.1780) loss_cl: -0.3672 (-0.3669) time: 0.8607 data: 0.0002 max mem: 29859 [11:52:34.923798] Epoch: [41] [560/850] eta: 0:04:11 lr: 0.002400 loss: 0.0810 (0.0868) loss_rec_all: 0.1168 (0.1222) loss_rec_sfr: 0.1323 (0.1770) loss_cl: -0.3674 (-0.3669) time: 0.8618 data: 0.0002 max mem: 29859 [11:52:52.115090] Epoch: [41] [580/850] eta: 0:03:54 lr: 0.002400 loss: 0.0812 (0.0867) loss_rec_all: 0.1170 (0.1221) loss_rec_sfr: 0.1534 (0.1768) loss_cl: -0.3677 (-0.3669) time: 0.8595 data: 0.0001 max mem: 29859 [11:53:09.404003] Epoch: [41] [600/850] eta: 0:03:36 lr: 0.002400 loss: 0.0788 (0.0865) loss_rec_all: 0.1146 (0.1219) loss_rec_sfr: 0.1391 (0.1763) loss_cl: -0.3667 (-0.3669) time: 0.8644 data: 0.0002 max mem: 29859 [11:53:26.585367] Epoch: [41] [620/850] eta: 0:03:19 lr: 0.002400 loss: 0.0872 (0.0866) loss_rec_all: 0.1229 (0.1220) loss_rec_sfr: 0.1652 (0.1765) loss_cl: -0.3657 (-0.3669) time: 0.8590 data: 0.0002 max mem: 29859 [11:53:43.810655] Epoch: [41] [640/850] eta: 0:03:02 lr: 0.002400 loss: 0.0936 (0.0870) loss_rec_all: 0.1293 (0.1225) loss_rec_sfr: 0.1624 (0.1770) loss_cl: -0.3670 (-0.3669) time: 0.8612 data: 0.0002 max mem: 29859 [11:54:01.081754] Epoch: [41] [660/850] eta: 0:02:44 lr: 0.002400 loss: 0.0929 (0.0873) loss_rec_all: 0.1280 (0.1228) loss_rec_sfr: 0.1666 (0.1773) loss_cl: -0.3675 (-0.3669) time: 0.8635 data: 0.0003 max mem: 29859 [11:54:18.302343] Epoch: [41] [680/850] eta: 0:02:27 lr: 0.002400 loss: 0.0869 (0.0875) loss_rec_all: 0.1227 (0.1229) loss_rec_sfr: 0.2102 (0.1777) loss_cl: -0.3670 (-0.3669) time: 0.8610 data: 0.0002 max mem: 29859 [11:54:35.481830] Epoch: [41] [700/850] eta: 0:02:09 lr: 0.002400 loss: 0.0879 (0.0876) loss_rec_all: 0.1234 (0.1230) loss_rec_sfr: 0.1391 (0.1776) loss_cl: -0.3672 (-0.3669) time: 0.8589 data: 0.0002 max mem: 29859 [11:54:52.709569] Epoch: [41] [720/850] eta: 0:01:52 lr: 0.002400 loss: 0.0888 (0.0876) loss_rec_all: 0.1244 (0.1231) loss_rec_sfr: 0.1500 (0.1773) loss_cl: -0.3670 (-0.3669) time: 0.8613 data: 0.0002 max mem: 29859 [11:55:09.903055] Epoch: [41] [740/850] eta: 0:01:35 lr: 0.002400 loss: 0.0860 (0.0877) loss_rec_all: 0.1215 (0.1231) loss_rec_sfr: 0.1593 (0.1773) loss_cl: -0.3665 (-0.3669) time: 0.8596 data: 0.0002 max mem: 29859 [11:55:27.107297] Epoch: [41] [760/850] eta: 0:01:17 lr: 0.002400 loss: 0.0841 (0.0876) loss_rec_all: 0.1193 (0.1231) loss_rec_sfr: 0.1543 (0.1772) loss_cl: -0.3671 (-0.3669) time: 0.8602 data: 0.0002 max mem: 29859 [11:55:44.311952] Epoch: [41] [780/850] eta: 0:01:00 lr: 0.002400 loss: 0.0811 (0.0875) loss_rec_all: 0.1169 (0.1230) loss_rec_sfr: 0.1320 (0.1767) loss_cl: -0.3673 (-0.3669) time: 0.8601 data: 0.0002 max mem: 29859 [11:56:01.639357] Epoch: [41] [800/850] eta: 0:00:43 lr: 0.002400 loss: 0.0810 (0.0874) loss_rec_all: 0.1169 (0.1228) loss_rec_sfr: 0.1504 (0.1764) loss_cl: -0.3667 (-0.3669) time: 0.8663 data: 0.0002 max mem: 29859 [11:56:18.823119] Epoch: [41] [820/850] eta: 0:00:25 lr: 0.002400 loss: 0.0834 (0.0873) loss_rec_all: 0.1184 (0.1228) loss_rec_sfr: 0.1824 (0.1762) loss_cl: -0.3658 (-0.3669) time: 0.8591 data: 0.0002 max mem: 29859 [11:56:36.099782] Epoch: [41] [840/850] eta: 0:00:08 lr: 0.002400 loss: 0.0811 (0.0872) loss_rec_all: 0.1167 (0.1227) loss_rec_sfr: 0.1601 (0.1761) loss_cl: -0.3668 (-0.3669) time: 0.8638 data: 0.0024 max mem: 29859 [11:56:43.855147] Epoch: [41] [849/850] eta: 0:00:00 lr: 0.002400 loss: 0.0811 (0.0872) loss_rec_all: 0.1170 (0.1226) loss_rec_sfr: 0.1758 (0.1761) loss_cl: -0.3674 (-0.3669) time: 0.8643 data: 0.0024 max mem: 29859 [11:56:44.029825] Epoch: [41] Total time: 0:12:16 (0.8659 s / it) [11:56:44.044454] Averaged stats: lr: 0.002400 loss: 0.0811 (0.0872) loss_rec_all: 0.1170 (0.1226) loss_rec_sfr: 0.1758 (0.1788) loss_cl: -0.3674 (-0.3668) [11:56:44.053740] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [11:56:48.512351] Epoch: [42] [ 0/850] eta: 1:03:09 lr: 0.002400 loss: 0.0756 (0.0756) loss_rec_all: 0.1110 (0.1110) loss_rec_sfr: 0.1987 (0.1987) loss_cl: -0.3682 (-0.3682) time: 4.4580 data: 3.5683 max mem: 29859 [11:57:05.671909] Epoch: [42] [ 20/850] eta: 0:14:14 lr: 0.002400 loss: 0.0773 (0.0781) loss_rec_all: 0.1131 (0.1138) loss_rec_sfr: 0.1319 (0.1537) loss_cl: -0.3677 (-0.3676) time: 0.8579 data: 0.0001 max mem: 29859 [11:57:22.881567] Epoch: [42] [ 40/850] eta: 0:12:47 lr: 0.002400 loss: 0.0783 (0.0788) loss_rec_all: 0.1138 (0.1144) loss_rec_sfr: 0.1579 (0.1628) loss_cl: -0.3673 (-0.3675) time: 0.8604 data: 0.0002 max mem: 29859 [11:57:40.078151] Epoch: [42] [ 60/850] eta: 0:12:05 lr: 0.002400 loss: 0.0765 (0.0786) loss_rec_all: 0.1121 (0.1142) loss_rec_sfr: 0.1308 (0.1580) loss_cl: -0.3669 (-0.3674) time: 0.8598 data: 0.0002 max mem: 29859 [11:57:57.349471] Epoch: [42] [ 80/850] eta: 0:11:36 lr: 0.002400 loss: 0.0827 (0.0798) loss_rec_all: 0.1182 (0.1154) loss_rec_sfr: 0.1424 (0.1605) loss_cl: -0.3667 (-0.3672) time: 0.8635 data: 0.0002 max mem: 29859 [11:58:14.532316] Epoch: [42] [100/850] eta: 0:11:11 lr: 0.002400 loss: 0.0848 (0.0814) loss_rec_all: 0.1205 (0.1170) loss_rec_sfr: 0.1500 (0.1628) loss_cl: -0.3670 (-0.3671) time: 0.8591 data: 0.0002 max mem: 29859 [11:58:31.814509] Epoch: [42] [120/850] eta: 0:10:50 lr: 0.002400 loss: 0.0851 (0.0822) loss_rec_all: 0.1203 (0.1178) loss_rec_sfr: 0.1951 (0.1663) loss_cl: -0.3669 (-0.3671) time: 0.8640 data: 0.0002 max mem: 29859 [11:58:49.030608] Epoch: [42] [140/850] eta: 0:10:29 lr: 0.002400 loss: 0.0817 (0.0825) loss_rec_all: 0.1169 (0.1180) loss_rec_sfr: 0.1971 (0.1694) loss_cl: -0.3672 (-0.3671) time: 0.8608 data: 0.0002 max mem: 29859 [11:59:06.267518] Epoch: [42] [160/850] eta: 0:10:09 lr: 0.002400 loss: 0.0816 (0.0827) loss_rec_all: 0.1170 (0.1182) loss_rec_sfr: 0.1824 (0.1713) loss_cl: -0.3668 (-0.3671) time: 0.8618 data: 0.0002 max mem: 29859 [11:59:23.460140] Epoch: [42] [180/850] eta: 0:09:50 lr: 0.002400 loss: 0.0825 (0.0828) loss_rec_all: 0.1178 (0.1183) loss_rec_sfr: 0.1916 (0.1725) loss_cl: -0.3662 (-0.3670) time: 0.8596 data: 0.0002 max mem: 29859 [11:59:40.744930] Epoch: [42] [200/850] eta: 0:09:31 lr: 0.002400 loss: 0.0774 (0.0824) loss_rec_all: 0.1132 (0.1179) loss_rec_sfr: 0.1915 (0.1730) loss_cl: -0.3659 (-0.3669) time: 0.8642 data: 0.0002 max mem: 29859 [11:59:57.935290] Epoch: [42] [220/850] eta: 0:09:12 lr: 0.002400 loss: 0.0787 (0.0822) loss_rec_all: 0.1146 (0.1177) loss_rec_sfr: 0.1530 (0.1719) loss_cl: -0.3664 (-0.3668) time: 0.8595 data: 0.0002 max mem: 29859 [12:00:15.180377] Epoch: [42] [240/850] eta: 0:08:54 lr: 0.002400 loss: 0.0785 (0.0821) loss_rec_all: 0.1138 (0.1176) loss_rec_sfr: 0.1476 (0.1718) loss_cl: -0.3671 (-0.3668) time: 0.8622 data: 0.0002 max mem: 29859 [12:00:32.455398] Epoch: [42] [260/850] eta: 0:08:36 lr: 0.002400 loss: 0.0808 (0.0820) loss_rec_all: 0.1161 (0.1174) loss_rec_sfr: 0.1491 (0.1717) loss_cl: -0.3681 (-0.3669) time: 0.8637 data: 0.0002 max mem: 29859 [12:00:49.687413] Epoch: [42] [280/850] eta: 0:08:18 lr: 0.002400 loss: 0.0802 (0.0821) loss_rec_all: 0.1158 (0.1176) loss_rec_sfr: 0.1510 (0.1715) loss_cl: -0.3683 (-0.3670) time: 0.8616 data: 0.0002 max mem: 29859 [12:01:06.886383] Epoch: [42] [300/850] eta: 0:08:00 lr: 0.002400 loss: 0.0851 (0.0823) loss_rec_all: 0.1202 (0.1178) loss_rec_sfr: 0.1676 (0.1718) loss_cl: -0.3673 (-0.3670) time: 0.8599 data: 0.0002 max mem: 29859 [12:01:24.163059] Epoch: [42] [320/850] eta: 0:07:42 lr: 0.002400 loss: 0.0797 (0.0822) loss_rec_all: 0.1153 (0.1177) loss_rec_sfr: 0.1441 (0.1713) loss_cl: -0.3664 (-0.3670) time: 0.8638 data: 0.0002 max mem: 29859 [12:01:41.377568] Epoch: [42] [340/850] eta: 0:07:24 lr: 0.002400 loss: 0.0887 (0.0825) loss_rec_all: 0.1243 (0.1180) loss_rec_sfr: 0.1583 (0.1720) loss_cl: -0.3665 (-0.3670) time: 0.8607 data: 0.0002 max mem: 29859 [12:01:58.604994] Epoch: [42] [360/850] eta: 0:07:06 lr: 0.002400 loss: 0.0833 (0.0827) loss_rec_all: 0.1185 (0.1182) loss_rec_sfr: 0.1861 (0.1729) loss_cl: -0.3665 (-0.3669) time: 0.8613 data: 0.0002 max mem: 29859 [12:02:15.830377] Epoch: [42] [380/850] eta: 0:06:49 lr: 0.002400 loss: 0.0805 (0.0827) loss_rec_all: 0.1155 (0.1182) loss_rec_sfr: 0.1764 (0.1730) loss_cl: -0.3667 (-0.3669) time: 0.8612 data: 0.0002 max mem: 29859 [12:02:33.081979] Epoch: [42] [400/850] eta: 0:06:31 lr: 0.002400 loss: 0.0796 (0.0827) loss_rec_all: 0.1148 (0.1182) loss_rec_sfr: 0.1520 (0.1727) loss_cl: -0.3668 (-0.3669) time: 0.8625 data: 0.0002 max mem: 29859 [12:02:50.269922] Epoch: [42] [420/850] eta: 0:06:14 lr: 0.002400 loss: 0.0778 (0.0825) loss_rec_all: 0.1132 (0.1180) loss_rec_sfr: 0.1455 (0.1720) loss_cl: -0.3670 (-0.3669) time: 0.8594 data: 0.0002 max mem: 29859 [12:03:07.512792] Epoch: [42] [440/850] eta: 0:05:56 lr: 0.002400 loss: 0.0767 (0.0824) loss_rec_all: 0.1119 (0.1179) loss_rec_sfr: 0.1748 (0.1720) loss_cl: -0.3671 (-0.3669) time: 0.8621 data: 0.0002 max mem: 29859 [12:03:24.747595] Epoch: [42] [460/850] eta: 0:05:38 lr: 0.002400 loss: 0.0781 (0.0823) loss_rec_all: 0.1135 (0.1177) loss_rec_sfr: 0.1554 (0.1719) loss_cl: -0.3671 (-0.3669) time: 0.8617 data: 0.0002 max mem: 29859 [12:03:41.996659] Epoch: [42] [480/850] eta: 0:05:21 lr: 0.002400 loss: 0.0878 (0.0827) loss_rec_all: 0.1234 (0.1182) loss_rec_sfr: 0.1965 (0.1727) loss_cl: -0.3676 (-0.3670) time: 0.8624 data: 0.0002 max mem: 29859 [12:03:59.191209] Epoch: [42] [500/850] eta: 0:05:03 lr: 0.002400 loss: 0.0894 (0.0830) loss_rec_all: 0.1247 (0.1185) loss_rec_sfr: 0.2000 (0.1736) loss_cl: -0.3675 (-0.3670) time: 0.8597 data: 0.0001 max mem: 29859 [12:04:16.487778] Epoch: [42] [520/850] eta: 0:04:46 lr: 0.002400 loss: 0.0861 (0.0832) loss_rec_all: 0.1212 (0.1187) loss_rec_sfr: 0.1577 (0.1735) loss_cl: -0.3670 (-0.3670) time: 0.8648 data: 0.0002 max mem: 29859 [12:04:33.678153] Epoch: [42] [540/850] eta: 0:04:29 lr: 0.002400 loss: 0.0891 (0.0835) loss_rec_all: 0.1240 (0.1190) loss_rec_sfr: 0.2037 (0.1740) loss_cl: -0.3659 (-0.3669) time: 0.8595 data: 0.0001 max mem: 29859 [12:04:50.925590] Epoch: [42] [560/850] eta: 0:04:11 lr: 0.002400 loss: 0.0866 (0.0837) loss_rec_all: 0.1222 (0.1192) loss_rec_sfr: 0.1983 (0.1743) loss_cl: -0.3665 (-0.3669) time: 0.8623 data: 0.0002 max mem: 29859 [12:05:08.177170] Epoch: [42] [580/850] eta: 0:03:54 lr: 0.002400 loss: 0.0846 (0.0839) loss_rec_all: 0.1202 (0.1193) loss_rec_sfr: 0.1562 (0.1743) loss_cl: -0.3672 (-0.3669) time: 0.8625 data: 0.0002 max mem: 29859 [12:05:25.404046] Epoch: [42] [600/850] eta: 0:03:36 lr: 0.002400 loss: 0.0817 (0.0839) loss_rec_all: 0.1169 (0.1193) loss_rec_sfr: 0.1563 (0.1741) loss_cl: -0.3673 (-0.3669) time: 0.8613 data: 0.0002 max mem: 29859 [12:05:42.607807] Epoch: [42] [620/850] eta: 0:03:19 lr: 0.002400 loss: 0.0792 (0.0837) loss_rec_all: 0.1150 (0.1192) loss_rec_sfr: 0.1462 (0.1738) loss_cl: -0.3676 (-0.3669) time: 0.8601 data: 0.0002 max mem: 29859 [12:05:59.886866] Epoch: [42] [640/850] eta: 0:03:02 lr: 0.002400 loss: 0.0812 (0.0837) loss_rec_all: 0.1164 (0.1192) loss_rec_sfr: 0.1899 (0.1740) loss_cl: -0.3665 (-0.3669) time: 0.8639 data: 0.0002 max mem: 29859 [12:06:17.196857] Epoch: [42] [660/850] eta: 0:02:44 lr: 0.002400 loss: 0.0826 (0.0837) loss_rec_all: 0.1177 (0.1192) loss_rec_sfr: 0.1609 (0.1742) loss_cl: -0.3667 (-0.3669) time: 0.8654 data: 0.0002 max mem: 29859 [12:06:34.422829] Epoch: [42] [680/850] eta: 0:02:27 lr: 0.002400 loss: 0.0824 (0.0837) loss_rec_all: 0.1179 (0.1192) loss_rec_sfr: 0.1627 (0.1742) loss_cl: -0.3665 (-0.3669) time: 0.8613 data: 0.0002 max mem: 29859 [12:06:51.664348] Epoch: [42] [700/850] eta: 0:02:10 lr: 0.002400 loss: 0.0779 (0.0836) loss_rec_all: 0.1132 (0.1191) loss_rec_sfr: 0.1850 (0.1742) loss_cl: -0.3674 (-0.3669) time: 0.8620 data: 0.0002 max mem: 29859 [12:07:08.921228] Epoch: [42] [720/850] eta: 0:01:52 lr: 0.002400 loss: 0.0800 (0.0835) loss_rec_all: 0.1157 (0.1190) loss_rec_sfr: 0.1732 (0.1743) loss_cl: -0.3677 (-0.3669) time: 0.8628 data: 0.0002 max mem: 29859 [12:07:26.118777] Epoch: [42] [740/850] eta: 0:01:35 lr: 0.002400 loss: 0.0775 (0.0834) loss_rec_all: 0.1131 (0.1189) loss_rec_sfr: 0.1742 (0.1743) loss_cl: -0.3668 (-0.3669) time: 0.8598 data: 0.0002 max mem: 29859 [12:07:43.347572] Epoch: [42] [760/850] eta: 0:01:17 lr: 0.002400 loss: 0.0770 (0.0833) loss_rec_all: 0.1126 (0.1187) loss_rec_sfr: 0.1252 (0.1738) loss_cl: -0.3657 (-0.3669) time: 0.8614 data: 0.0002 max mem: 29859 [12:08:00.575504] Epoch: [42] [780/850] eta: 0:01:00 lr: 0.002400 loss: 0.0810 (0.0832) loss_rec_all: 0.1167 (0.1187) loss_rec_sfr: 0.1515 (0.1739) loss_cl: -0.3664 (-0.3669) time: 0.8613 data: 0.0002 max mem: 29859 [12:08:17.819053] Epoch: [42] [800/850] eta: 0:00:43 lr: 0.002400 loss: 0.0793 (0.0832) loss_rec_all: 0.1151 (0.1187) loss_rec_sfr: 0.1543 (0.1738) loss_cl: -0.3678 (-0.3669) time: 0.8621 data: 0.0002 max mem: 29859 [12:08:35.014063] Epoch: [42] [820/850] eta: 0:00:25 lr: 0.002400 loss: 0.0790 (0.0831) loss_rec_all: 0.1147 (0.1186) loss_rec_sfr: 0.1511 (0.1736) loss_cl: -0.3677 (-0.3669) time: 0.8597 data: 0.0002 max mem: 29859 [12:08:52.282686] Epoch: [42] [840/850] eta: 0:00:08 lr: 0.002400 loss: 0.0889 (0.0833) loss_rec_all: 0.1247 (0.1188) loss_rec_sfr: 0.2048 (0.1739) loss_cl: -0.3673 (-0.3669) time: 0.8634 data: 0.0006 max mem: 29859 [12:09:00.019305] Epoch: [42] [849/850] eta: 0:00:00 lr: 0.002400 loss: 0.0890 (0.0834) loss_rec_all: 0.1246 (0.1189) loss_rec_sfr: 0.1708 (0.1740) loss_cl: -0.3667 (-0.3669) time: 0.8628 data: 0.0005 max mem: 29859 [12:09:00.174095] Epoch: [42] Total time: 0:12:16 (0.8660 s / it) [12:09:00.176630] Averaged stats: lr: 0.002400 loss: 0.0890 (0.0836) loss_rec_all: 0.1246 (0.1190) loss_rec_sfr: 0.1708 (0.1740) loss_cl: -0.3667 (-0.3669) [12:09:00.187999] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [12:09:04.240923] Epoch: [43] [ 0/850] eta: 0:57:24 lr: 0.002400 loss: 0.0859 (0.0859) loss_rec_all: 0.1214 (0.1214) loss_rec_sfr: 0.1301 (0.1301) loss_cl: -0.3649 (-0.3649) time: 4.0522 data: 3.1980 max mem: 29859 [12:09:21.409843] Epoch: [43] [ 20/850] eta: 0:13:58 lr: 0.002400 loss: 0.0860 (0.0875) loss_rec_all: 0.1212 (0.1229) loss_rec_sfr: 0.1511 (0.1716) loss_cl: -0.3661 (-0.3659) time: 0.8584 data: 0.0001 max mem: 29859 [12:09:38.637832] Epoch: [43] [ 40/850] eta: 0:12:39 lr: 0.002400 loss: 0.0805 (0.0851) loss_rec_all: 0.1162 (0.1205) loss_rec_sfr: 0.1467 (0.1659) loss_cl: -0.3660 (-0.3659) time: 0.8613 data: 0.0002 max mem: 29859 [12:09:55.821923] Epoch: [43] [ 60/850] eta: 0:12:00 lr: 0.002400 loss: 0.0788 (0.0834) loss_rec_all: 0.1141 (0.1189) loss_rec_sfr: 0.1446 (0.1673) loss_cl: -0.3679 (-0.3665) time: 0.8592 data: 0.0002 max mem: 29859 [12:10:13.059716] Epoch: [43] [ 80/850] eta: 0:11:32 lr: 0.002400 loss: 0.0771 (0.0823) loss_rec_all: 0.1129 (0.1178) loss_rec_sfr: 0.1519 (0.1675) loss_cl: -0.3681 (-0.3668) time: 0.8618 data: 0.0002 max mem: 29859 [12:10:30.255324] Epoch: [43] [100/850] eta: 0:11:08 lr: 0.002400 loss: 0.0817 (0.0823) loss_rec_all: 0.1167 (0.1178) loss_rec_sfr: 0.1860 (0.1716) loss_cl: -0.3670 (-0.3668) time: 0.8597 data: 0.0002 max mem: 29859 [12:10:47.496972] Epoch: [43] [120/850] eta: 0:10:47 lr: 0.002400 loss: 0.0839 (0.0831) loss_rec_all: 0.1194 (0.1186) loss_rec_sfr: 0.1861 (0.1738) loss_cl: -0.3664 (-0.3667) time: 0.8620 data: 0.0002 max mem: 29859 [12:11:04.676141] Epoch: [43] [140/850] eta: 0:10:26 lr: 0.002400 loss: 0.0814 (0.0830) loss_rec_all: 0.1168 (0.1185) loss_rec_sfr: 0.2058 (0.1774) loss_cl: -0.3670 (-0.3668) time: 0.8589 data: 0.0002 max mem: 29859 [12:11:21.939030] Epoch: [43] [160/850] eta: 0:10:07 lr: 0.002400 loss: 0.0783 (0.0828) loss_rec_all: 0.1137 (0.1182) loss_rec_sfr: 0.1757 (0.1762) loss_cl: -0.3671 (-0.3668) time: 0.8631 data: 0.0002 max mem: 29859 [12:11:39.127773] Epoch: [43] [180/850] eta: 0:09:48 lr: 0.002400 loss: 0.0774 (0.0822) loss_rec_all: 0.1129 (0.1177) loss_rec_sfr: 0.1271 (0.1740) loss_cl: -0.3657 (-0.3667) time: 0.8594 data: 0.0001 max mem: 29859 [12:11:56.361198] Epoch: [43] [200/850] eta: 0:09:29 lr: 0.002400 loss: 0.0769 (0.0819) loss_rec_all: 0.1126 (0.1173) loss_rec_sfr: 0.1440 (0.1722) loss_cl: -0.3663 (-0.3666) time: 0.8616 data: 0.0002 max mem: 29859 [12:12:13.578639] Epoch: [43] [220/850] eta: 0:09:11 lr: 0.002400 loss: 0.0808 (0.0819) loss_rec_all: 0.1162 (0.1173) loss_rec_sfr: 0.1872 (0.1735) loss_cl: -0.3662 (-0.3666) time: 0.8608 data: 0.0002 max mem: 29859 [12:12:30.804755] Epoch: [43] [240/850] eta: 0:08:53 lr: 0.002400 loss: 0.0838 (0.0821) loss_rec_all: 0.1190 (0.1175) loss_rec_sfr: 0.1678 (0.1731) loss_cl: -0.3671 (-0.3666) time: 0.8613 data: 0.0002 max mem: 29859 [12:12:48.011175] Epoch: [43] [260/850] eta: 0:08:34 lr: 0.002400 loss: 0.0774 (0.0819) loss_rec_all: 0.1131 (0.1174) loss_rec_sfr: 0.1743 (0.1731) loss_cl: -0.3678 (-0.3667) time: 0.8603 data: 0.0002 max mem: 29859 [12:13:05.273955] Epoch: [43] [280/850] eta: 0:08:17 lr: 0.002400 loss: 0.0770 (0.0817) loss_rec_all: 0.1128 (0.1172) loss_rec_sfr: 0.1492 (0.1728) loss_cl: -0.3681 (-0.3668) time: 0.8631 data: 0.0002 max mem: 29859 [12:13:22.468299] Epoch: [43] [300/850] eta: 0:07:59 lr: 0.002400 loss: 0.0738 (0.0814) loss_rec_all: 0.1094 (0.1168) loss_rec_sfr: 0.1509 (0.1717) loss_cl: -0.3660 (-0.3667) time: 0.8597 data: 0.0002 max mem: 29859 [12:13:39.695216] Epoch: [43] [320/850] eta: 0:07:41 lr: 0.002400 loss: 0.0772 (0.0812) loss_rec_all: 0.1126 (0.1167) loss_rec_sfr: 0.1754 (0.1714) loss_cl: -0.3663 (-0.3667) time: 0.8613 data: 0.0002 max mem: 29859 [12:13:56.961304] Epoch: [43] [340/850] eta: 0:07:23 lr: 0.002400 loss: 0.0809 (0.0813) loss_rec_all: 0.1161 (0.1168) loss_rec_sfr: 0.1892 (0.1716) loss_cl: -0.3679 (-0.3668) time: 0.8632 data: 0.0002 max mem: 29859 [12:14:14.182099] Epoch: [43] [360/850] eta: 0:07:06 lr: 0.002400 loss: 0.0850 (0.0816) loss_rec_all: 0.1203 (0.1171) loss_rec_sfr: 0.1576 (0.1718) loss_cl: -0.3675 (-0.3668) time: 0.8610 data: 0.0002 max mem: 29859 [12:14:31.371379] Epoch: [43] [380/850] eta: 0:06:48 lr: 0.002400 loss: 0.0810 (0.0817) loss_rec_all: 0.1160 (0.1171) loss_rec_sfr: 0.1628 (0.1717) loss_cl: -0.3665 (-0.3668) time: 0.8594 data: 0.0002 max mem: 29859 [12:14:48.656317] Epoch: [43] [400/850] eta: 0:06:31 lr: 0.002400 loss: 0.0806 (0.0818) loss_rec_all: 0.1165 (0.1172) loss_rec_sfr: 0.1839 (0.1721) loss_cl: -0.3667 (-0.3668) time: 0.8642 data: 0.0002 max mem: 29859 [12:15:05.844732] Epoch: [43] [420/850] eta: 0:06:13 lr: 0.002400 loss: 0.0785 (0.0818) loss_rec_all: 0.1143 (0.1173) loss_rec_sfr: 0.1911 (0.1725) loss_cl: -0.3667 (-0.3668) time: 0.8594 data: 0.0002 max mem: 29859 [12:15:23.082150] Epoch: [43] [440/850] eta: 0:05:55 lr: 0.002400 loss: 0.0802 (0.0818) loss_rec_all: 0.1152 (0.1172) loss_rec_sfr: 0.1783 (0.1728) loss_cl: -0.3667 (-0.3668) time: 0.8618 data: 0.0002 max mem: 29859 [12:15:40.309551] Epoch: [43] [460/850] eta: 0:05:38 lr: 0.002400 loss: 0.0802 (0.0818) loss_rec_all: 0.1156 (0.1173) loss_rec_sfr: 0.1921 (0.1735) loss_cl: -0.3678 (-0.3668) time: 0.8613 data: 0.0002 max mem: 29859 [12:15:57.557629] Epoch: [43] [480/850] eta: 0:05:21 lr: 0.002400 loss: 0.0768 (0.0817) loss_rec_all: 0.1122 (0.1171) loss_rec_sfr: 0.1458 (0.1730) loss_cl: -0.3681 (-0.3669) time: 0.8624 data: 0.0002 max mem: 29859 [12:16:14.746464] Epoch: [43] [500/850] eta: 0:05:03 lr: 0.002400 loss: 0.0764 (0.0816) loss_rec_all: 0.1120 (0.1171) loss_rec_sfr: 0.1839 (0.1731) loss_cl: -0.3670 (-0.3669) time: 0.8594 data: 0.0002 max mem: 29859 [12:16:32.034398] Epoch: [43] [520/850] eta: 0:04:46 lr: 0.002400 loss: 0.0748 (0.0814) loss_rec_all: 0.1100 (0.1168) loss_rec_sfr: 0.2021 (0.1733) loss_cl: -0.3660 (-0.3669) time: 0.8643 data: 0.0002 max mem: 29859 [12:16:49.227701] Epoch: [43] [540/850] eta: 0:04:28 lr: 0.002400 loss: 0.0786 (0.0813) loss_rec_all: 0.1137 (0.1168) loss_rec_sfr: 0.1813 (0.1736) loss_cl: -0.3670 (-0.3669) time: 0.8596 data: 0.0002 max mem: 29859 [12:17:06.463474] Epoch: [43] [560/850] eta: 0:04:11 lr: 0.002400 loss: 0.0771 (0.0812) loss_rec_all: 0.1131 (0.1167) loss_rec_sfr: 0.1792 (0.1738) loss_cl: -0.3675 (-0.3669) time: 0.8617 data: 0.0002 max mem: 29859 [12:17:23.690721] Epoch: [43] [580/850] eta: 0:03:53 lr: 0.002400 loss: 0.0764 (0.0810) loss_rec_all: 0.1120 (0.1165) loss_rec_sfr: 0.1556 (0.1737) loss_cl: -0.3671 (-0.3669) time: 0.8613 data: 0.0002 max mem: 29859 [12:17:40.918827] Epoch: [43] [600/850] eta: 0:03:36 lr: 0.002400 loss: 0.0840 (0.0813) loss_rec_all: 0.1198 (0.1167) loss_rec_sfr: 0.1564 (0.1739) loss_cl: -0.3673 (-0.3669) time: 0.8614 data: 0.0002 max mem: 29859 [12:17:58.122661] Epoch: [43] [620/850] eta: 0:03:19 lr: 0.002400 loss: 0.0907 (0.0816) loss_rec_all: 0.1261 (0.1170) loss_rec_sfr: 0.2266 (0.1751) loss_cl: -0.3665 (-0.3669) time: 0.8601 data: 0.0002 max mem: 29859 [12:18:15.366459] Epoch: [43] [640/850] eta: 0:03:01 lr: 0.002400 loss: 0.0832 (0.0817) loss_rec_all: 0.1190 (0.1172) loss_rec_sfr: 0.1795 (0.1753) loss_cl: -0.3668 (-0.3669) time: 0.8621 data: 0.0002 max mem: 29859 [12:18:32.571899] Epoch: [43] [660/850] eta: 0:02:44 lr: 0.002400 loss: 0.0789 (0.0817) loss_rec_all: 0.1144 (0.1172) loss_rec_sfr: 0.1566 (0.1752) loss_cl: -0.3661 (-0.3668) time: 0.8602 data: 0.0002 max mem: 29859 [12:18:49.792334] Epoch: [43] [680/850] eta: 0:02:27 lr: 0.002400 loss: 0.0795 (0.0817) loss_rec_all: 0.1148 (0.1171) loss_rec_sfr: 0.1789 (0.1751) loss_cl: -0.3666 (-0.3668) time: 0.8610 data: 0.0002 max mem: 29859 [12:19:07.066898] Epoch: [43] [700/850] eta: 0:02:09 lr: 0.002400 loss: 0.0797 (0.0817) loss_rec_all: 0.1154 (0.1172) loss_rec_sfr: 0.1543 (0.1749) loss_cl: -0.3666 (-0.3668) time: 0.8637 data: 0.0002 max mem: 29859 [12:19:24.288104] Epoch: [43] [720/850] eta: 0:01:52 lr: 0.002400 loss: 0.0776 (0.0817) loss_rec_all: 0.1133 (0.1171) loss_rec_sfr: 0.1936 (0.1750) loss_cl: -0.3659 (-0.3668) time: 0.8610 data: 0.0002 max mem: 29859 [12:19:41.473905] Epoch: [43] [740/850] eta: 0:01:35 lr: 0.002400 loss: 0.0772 (0.0816) loss_rec_all: 0.1128 (0.1171) loss_rec_sfr: 0.1682 (0.1751) loss_cl: -0.3673 (-0.3668) time: 0.8592 data: 0.0002 max mem: 29859 [12:19:58.776809] Epoch: [43] [760/850] eta: 0:01:17 lr: 0.002400 loss: 0.0758 (0.0815) loss_rec_all: 0.1117 (0.1170) loss_rec_sfr: 0.1289 (0.1747) loss_cl: -0.3678 (-0.3668) time: 0.8651 data: 0.0002 max mem: 29859 [12:20:15.964338] Epoch: [43] [780/850] eta: 0:01:00 lr: 0.002400 loss: 0.0779 (0.0814) loss_rec_all: 0.1132 (0.1169) loss_rec_sfr: 0.1839 (0.1747) loss_cl: -0.3677 (-0.3669) time: 0.8593 data: 0.0002 max mem: 29859 [12:20:33.200720] Epoch: [43] [800/850] eta: 0:00:43 lr: 0.002400 loss: 0.0793 (0.0814) loss_rec_all: 0.1150 (0.1169) loss_rec_sfr: 0.1554 (0.1747) loss_cl: -0.3669 (-0.3669) time: 0.8618 data: 0.0002 max mem: 29859 [12:20:50.400353] Epoch: [43] [820/850] eta: 0:00:25 lr: 0.002400 loss: 0.0740 (0.0813) loss_rec_all: 0.1092 (0.1167) loss_rec_sfr: 0.1750 (0.1746) loss_cl: -0.3659 (-0.3668) time: 0.8599 data: 0.0002 max mem: 29859 [12:21:07.641855] Epoch: [43] [840/850] eta: 0:00:08 lr: 0.002400 loss: 0.0743 (0.0812) loss_rec_all: 0.1102 (0.1167) loss_rec_sfr: 0.1434 (0.1740) loss_cl: -0.3671 (-0.3668) time: 0.8620 data: 0.0004 max mem: 29859 [12:21:15.375056] Epoch: [43] [849/850] eta: 0:00:00 lr: 0.002400 loss: 0.0811 (0.0813) loss_rec_all: 0.1169 (0.1167) loss_rec_sfr: 0.1483 (0.1741) loss_cl: -0.3672 (-0.3668) time: 0.8618 data: 0.0004 max mem: 29859 [12:21:15.522942] Epoch: [43] Total time: 0:12:15 (0.8651 s / it) [12:21:15.525442] Averaged stats: lr: 0.002400 loss: 0.0811 (0.0812) loss_rec_all: 0.1169 (0.1167) loss_rec_sfr: 0.1483 (0.1738) loss_cl: -0.3672 (-0.3668) [12:21:15.537451] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [12:21:19.504435] Epoch: [44] [ 0/850] eta: 0:56:11 lr: 0.002400 loss: 0.0836 (0.0836) loss_rec_all: 0.1193 (0.1193) loss_rec_sfr: 0.1368 (0.1368) loss_cl: -0.3664 (-0.3664) time: 3.9662 data: 2.4865 max mem: 29859 [12:21:36.676842] Epoch: [44] [ 20/850] eta: 0:13:55 lr: 0.002400 loss: 0.0789 (0.0809) loss_rec_all: 0.1146 (0.1166) loss_rec_sfr: 0.1283 (0.1493) loss_cl: -0.3670 (-0.3670) time: 0.8586 data: 0.0002 max mem: 29859 [12:21:53.916940] Epoch: [44] [ 40/850] eta: 0:12:38 lr: 0.002400 loss: 0.0771 (0.0802) loss_rec_all: 0.1129 (0.1158) loss_rec_sfr: 0.1734 (0.1579) loss_cl: -0.3666 (-0.3668) time: 0.8620 data: 0.0002 max mem: 29859 [12:22:11.091327] Epoch: [44] [ 60/850] eta: 0:11:59 lr: 0.002400 loss: 0.0771 (0.0800) loss_rec_all: 0.1129 (0.1155) loss_rec_sfr: 0.1753 (0.1647) loss_cl: -0.3672 (-0.3669) time: 0.8587 data: 0.0002 max mem: 29859 [12:22:28.364676] Epoch: [44] [ 80/850] eta: 0:11:32 lr: 0.002400 loss: 0.0787 (0.0799) loss_rec_all: 0.1143 (0.1154) loss_rec_sfr: 0.1805 (0.1686) loss_cl: -0.3666 (-0.3668) time: 0.8636 data: 0.0002 max mem: 29859 [12:22:45.543253] Epoch: [44] [100/850] eta: 0:11:08 lr: 0.002400 loss: 0.0749 (0.0793) loss_rec_all: 0.1105 (0.1148) loss_rec_sfr: 0.1488 (0.1680) loss_cl: -0.3671 (-0.3669) time: 0.8589 data: 0.0002 max mem: 29859 [12:23:02.769864] Epoch: [44] [120/850] eta: 0:10:46 lr: 0.002400 loss: 0.0735 (0.0787) loss_rec_all: 0.1094 (0.1143) loss_rec_sfr: 0.1515 (0.1662) loss_cl: -0.3673 (-0.3669) time: 0.8613 data: 0.0002 max mem: 29859 [12:23:19.984924] Epoch: [44] [140/850] eta: 0:10:26 lr: 0.002400 loss: 0.0745 (0.0782) loss_rec_all: 0.1103 (0.1138) loss_rec_sfr: 0.1400 (0.1652) loss_cl: -0.3676 (-0.3670) time: 0.8607 data: 0.0002 max mem: 29859 [12:23:37.226473] Epoch: [44] [160/850] eta: 0:10:07 lr: 0.002400 loss: 0.0791 (0.0786) loss_rec_all: 0.1148 (0.1141) loss_rec_sfr: 0.1548 (0.1666) loss_cl: -0.3672 (-0.3670) time: 0.8620 data: 0.0002 max mem: 29859 [12:23:54.421888] Epoch: [44] [180/850] eta: 0:09:48 lr: 0.002400 loss: 0.0783 (0.0786) loss_rec_all: 0.1141 (0.1142) loss_rec_sfr: 0.1412 (0.1660) loss_cl: -0.3671 (-0.3670) time: 0.8597 data: 0.0002 max mem: 29859 [12:24:11.664415] Epoch: [44] [200/850] eta: 0:09:29 lr: 0.002400 loss: 0.0807 (0.0792) loss_rec_all: 0.1161 (0.1148) loss_rec_sfr: 0.1887 (0.1668) loss_cl: -0.3672 (-0.3670) time: 0.8621 data: 0.0002 max mem: 29859 [12:24:28.862131] Epoch: [44] [220/850] eta: 0:09:11 lr: 0.002400 loss: 0.0779 (0.0793) loss_rec_all: 0.1137 (0.1148) loss_rec_sfr: 0.1768 (0.1669) loss_cl: -0.3665 (-0.3669) time: 0.8598 data: 0.0002 max mem: 29859 [12:24:46.083251] Epoch: [44] [240/850] eta: 0:08:52 lr: 0.002400 loss: 0.0762 (0.0790) loss_rec_all: 0.1118 (0.1146) loss_rec_sfr: 0.1400 (0.1661) loss_cl: -0.3661 (-0.3669) time: 0.8610 data: 0.0002 max mem: 29859 [12:25:03.316720] Epoch: [44] [260/850] eta: 0:08:34 lr: 0.002400 loss: 0.0757 (0.0788) loss_rec_all: 0.1114 (0.1143) loss_rec_sfr: 0.1458 (0.1654) loss_cl: -0.3672 (-0.3669) time: 0.8616 data: 0.0002 max mem: 29859 [12:25:20.533521] Epoch: [44] [280/850] eta: 0:08:16 lr: 0.002400 loss: 0.0766 (0.0788) loss_rec_all: 0.1122 (0.1144) loss_rec_sfr: 0.1625 (0.1649) loss_cl: -0.3667 (-0.3669) time: 0.8608 data: 0.0002 max mem: 29859 [12:25:37.745166] Epoch: [44] [300/850] eta: 0:07:59 lr: 0.002400 loss: 0.0765 (0.0788) loss_rec_all: 0.1117 (0.1144) loss_rec_sfr: 0.1781 (0.1654) loss_cl: -0.3672 (-0.3669) time: 0.8605 data: 0.0002 max mem: 29859 [12:25:54.987420] Epoch: [44] [320/850] eta: 0:07:41 lr: 0.002400 loss: 0.0732 (0.0785) loss_rec_all: 0.1089 (0.1141) loss_rec_sfr: 0.1362 (0.1648) loss_cl: -0.3673 (-0.3669) time: 0.8621 data: 0.0002 max mem: 29859 [12:26:12.172166] Epoch: [44] [340/850] eta: 0:07:23 lr: 0.002400 loss: 0.0722 (0.0782) loss_rec_all: 0.1082 (0.1138) loss_rec_sfr: 0.1324 (0.1637) loss_cl: -0.3674 (-0.3669) time: 0.8592 data: 0.0002 max mem: 29859 [12:26:29.401692] Epoch: [44] [360/850] eta: 0:07:05 lr: 0.002400 loss: 0.0735 (0.0780) loss_rec_all: 0.1090 (0.1136) loss_rec_sfr: 0.1469 (0.1637) loss_cl: -0.3671 (-0.3670) time: 0.8614 data: 0.0002 max mem: 29859 [12:26:46.612367] Epoch: [44] [380/850] eta: 0:06:48 lr: 0.002400 loss: 0.0750 (0.0780) loss_rec_all: 0.1109 (0.1136) loss_rec_sfr: 0.1311 (0.1629) loss_cl: -0.3670 (-0.3670) time: 0.8605 data: 0.0002 max mem: 29859 [12:27:03.836733] Epoch: [44] [400/850] eta: 0:06:30 lr: 0.002400 loss: 0.0748 (0.0779) loss_rec_all: 0.1103 (0.1135) loss_rec_sfr: 0.1418 (0.1624) loss_cl: -0.3663 (-0.3669) time: 0.8612 data: 0.0002 max mem: 29859 [12:27:21.008781] Epoch: [44] [420/850] eta: 0:06:13 lr: 0.002400 loss: 0.0750 (0.0779) loss_rec_all: 0.1106 (0.1135) loss_rec_sfr: 0.1393 (0.1621) loss_cl: -0.3665 (-0.3669) time: 0.8586 data: 0.0002 max mem: 29859 [12:27:38.291811] Epoch: [44] [440/850] eta: 0:05:55 lr: 0.002400 loss: 0.0814 (0.0781) loss_rec_all: 0.1164 (0.1136) loss_rec_sfr: 0.1733 (0.1632) loss_cl: -0.3666 (-0.3669) time: 0.8641 data: 0.0002 max mem: 29859 [12:27:55.472906] Epoch: [44] [460/850] eta: 0:05:38 lr: 0.002400 loss: 0.0782 (0.0783) loss_rec_all: 0.1141 (0.1139) loss_rec_sfr: 0.1430 (0.1632) loss_cl: -0.3678 (-0.3669) time: 0.8590 data: 0.0002 max mem: 29859 [12:28:12.720455] Epoch: [44] [480/850] eta: 0:05:20 lr: 0.002400 loss: 0.0763 (0.0783) loss_rec_all: 0.1122 (0.1138) loss_rec_sfr: 0.1293 (0.1625) loss_cl: -0.3676 (-0.3670) time: 0.8623 data: 0.0002 max mem: 29859 [12:28:29.929173] Epoch: [44] [500/850] eta: 0:05:03 lr: 0.002400 loss: 0.0746 (0.0781) loss_rec_all: 0.1102 (0.1137) loss_rec_sfr: 0.1417 (0.1620) loss_cl: -0.3661 (-0.3669) time: 0.8604 data: 0.0002 max mem: 29859 [12:28:47.150747] Epoch: [44] [520/850] eta: 0:04:46 lr: 0.002400 loss: 0.0759 (0.0781) loss_rec_all: 0.1117 (0.1137) loss_rec_sfr: 0.1881 (0.1625) loss_cl: -0.3664 (-0.3669) time: 0.8610 data: 0.0002 max mem: 29859 [12:29:04.337570] Epoch: [44] [540/850] eta: 0:04:28 lr: 0.002400 loss: 0.0734 (0.0780) loss_rec_all: 0.1087 (0.1135) loss_rec_sfr: 0.1841 (0.1629) loss_cl: -0.3674 (-0.3669) time: 0.8593 data: 0.0002 max mem: 29859 [12:29:21.568106] Epoch: [44] [560/850] eta: 0:04:11 lr: 0.002400 loss: 0.0755 (0.0779) loss_rec_all: 0.1111 (0.1135) loss_rec_sfr: 0.1472 (0.1630) loss_cl: -0.3676 (-0.3669) time: 0.8615 data: 0.0002 max mem: 29859 [12:29:38.776827] Epoch: [44] [580/850] eta: 0:03:53 lr: 0.002400 loss: 0.0760 (0.0779) loss_rec_all: 0.1112 (0.1134) loss_rec_sfr: 0.1838 (0.1634) loss_cl: -0.3671 (-0.3669) time: 0.8604 data: 0.0002 max mem: 29859 [12:29:55.997957] Epoch: [44] [600/850] eta: 0:03:36 lr: 0.002400 loss: 0.0735 (0.0778) loss_rec_all: 0.1089 (0.1134) loss_rec_sfr: 0.1713 (0.1634) loss_cl: -0.3666 (-0.3669) time: 0.8610 data: 0.0002 max mem: 29859 [12:30:13.238693] Epoch: [44] [620/850] eta: 0:03:19 lr: 0.002400 loss: 0.0784 (0.0779) loss_rec_all: 0.1136 (0.1135) loss_rec_sfr: 0.1489 (0.1633) loss_cl: -0.3667 (-0.3669) time: 0.8620 data: 0.0003 max mem: 29859 [12:30:30.461902] Epoch: [44] [640/850] eta: 0:03:01 lr: 0.002400 loss: 0.0766 (0.0780) loss_rec_all: 0.1123 (0.1135) loss_rec_sfr: 0.1514 (0.1630) loss_cl: -0.3671 (-0.3669) time: 0.8611 data: 0.0002 max mem: 29859 [12:30:47.669890] Epoch: [44] [660/850] eta: 0:02:44 lr: 0.002400 loss: 0.0722 (0.0779) loss_rec_all: 0.1080 (0.1134) loss_rec_sfr: 0.1480 (0.1629) loss_cl: -0.3675 (-0.3669) time: 0.8603 data: 0.0002 max mem: 29859 [12:31:04.910604] Epoch: [44] [680/850] eta: 0:02:27 lr: 0.002400 loss: 0.0742 (0.0778) loss_rec_all: 0.1094 (0.1133) loss_rec_sfr: 0.1655 (0.1629) loss_cl: -0.3662 (-0.3669) time: 0.8620 data: 0.0002 max mem: 29859 [12:31:22.094976] Epoch: [44] [700/850] eta: 0:02:09 lr: 0.002400 loss: 0.0755 (0.0778) loss_rec_all: 0.1107 (0.1133) loss_rec_sfr: 0.1781 (0.1631) loss_cl: -0.3656 (-0.3669) time: 0.8592 data: 0.0002 max mem: 29859 [12:31:39.341490] Epoch: [44] [720/850] eta: 0:01:52 lr: 0.002400 loss: 0.0772 (0.0779) loss_rec_all: 0.1130 (0.1134) loss_rec_sfr: 0.1815 (0.1633) loss_cl: -0.3665 (-0.3669) time: 0.8623 data: 0.0002 max mem: 29859 [12:31:56.545897] Epoch: [44] [740/850] eta: 0:01:35 lr: 0.002400 loss: 0.0780 (0.0780) loss_rec_all: 0.1138 (0.1135) loss_rec_sfr: 0.1853 (0.1635) loss_cl: -0.3676 (-0.3669) time: 0.8602 data: 0.0002 max mem: 29859 [12:32:13.784241] Epoch: [44] [760/850] eta: 0:01:17 lr: 0.002400 loss: 0.0778 (0.0780) loss_rec_all: 0.1134 (0.1136) loss_rec_sfr: 0.1764 (0.1637) loss_cl: -0.3683 (-0.3669) time: 0.8619 data: 0.0002 max mem: 29859 [12:32:30.977810] Epoch: [44] [780/850] eta: 0:01:00 lr: 0.002400 loss: 0.0774 (0.0781) loss_rec_all: 0.1132 (0.1136) loss_rec_sfr: 0.1400 (0.1636) loss_cl: -0.3674 (-0.3669) time: 0.8596 data: 0.0002 max mem: 29859 [12:32:48.230297] Epoch: [44] [800/850] eta: 0:00:43 lr: 0.002400 loss: 0.0776 (0.0781) loss_rec_all: 0.1128 (0.1136) loss_rec_sfr: 0.1774 (0.1639) loss_cl: -0.3666 (-0.3669) time: 0.8626 data: 0.0002 max mem: 29859 [12:33:05.414114] Epoch: [44] [820/850] eta: 0:00:25 lr: 0.002400 loss: 0.0749 (0.0781) loss_rec_all: 0.1107 (0.1136) loss_rec_sfr: 0.1399 (0.1635) loss_cl: -0.3667 (-0.3669) time: 0.8591 data: 0.0002 max mem: 29859 [12:33:22.682474] Epoch: [44] [840/850] eta: 0:00:08 lr: 0.002400 loss: 0.0717 (0.0780) loss_rec_all: 0.1069 (0.1135) loss_rec_sfr: 0.1414 (0.1633) loss_cl: -0.3661 (-0.3669) time: 0.8633 data: 0.0005 max mem: 29859 [12:33:30.416748] Epoch: [44] [849/850] eta: 0:00:00 lr: 0.002400 loss: 0.0705 (0.0779) loss_rec_all: 0.1063 (0.1135) loss_rec_sfr: 0.1206 (0.1633) loss_cl: -0.3662 (-0.3669) time: 0.8632 data: 0.0005 max mem: 29859 [12:33:30.600075] Epoch: [44] Total time: 0:12:15 (0.8648 s / it) [12:33:30.602569] Averaged stats: lr: 0.002400 loss: 0.0705 (0.0780) loss_rec_all: 0.1063 (0.1135) loss_rec_sfr: 0.1206 (0.1652) loss_cl: -0.3662 (-0.3669) [12:33:30.614889] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [12:33:35.159509] Epoch: [45] [ 0/850] eta: 1:04:22 lr: 0.002400 loss: 0.0743 (0.0743) loss_rec_all: 0.1096 (0.1096) loss_rec_sfr: 0.2104 (0.2104) loss_cl: -0.3672 (-0.3672) time: 4.5436 data: 3.0572 max mem: 29859 [12:33:52.308246] Epoch: [45] [ 20/850] eta: 0:14:17 lr: 0.002400 loss: 0.0690 (0.0707) loss_rec_all: 0.1048 (0.1064) loss_rec_sfr: 0.1242 (0.1469) loss_cl: -0.3673 (-0.3673) time: 0.8574 data: 0.0001 max mem: 29859 [12:34:09.541609] Epoch: [45] [ 40/850] eta: 0:12:48 lr: 0.002400 loss: 0.0733 (0.0727) loss_rec_all: 0.1085 (0.1084) loss_rec_sfr: 0.1532 (0.1551) loss_cl: -0.3677 (-0.3674) time: 0.8616 data: 0.0002 max mem: 29859 [12:34:26.728695] Epoch: [45] [ 60/850] eta: 0:12:06 lr: 0.002400 loss: 0.0775 (0.0752) loss_rec_all: 0.1132 (0.1108) loss_rec_sfr: 0.1495 (0.1609) loss_cl: -0.3673 (-0.3674) time: 0.8593 data: 0.0002 max mem: 29859 [12:34:43.964504] Epoch: [45] [ 80/850] eta: 0:11:37 lr: 0.002400 loss: 0.0769 (0.0757) loss_rec_all: 0.1122 (0.1113) loss_rec_sfr: 0.1659 (0.1635) loss_cl: -0.3667 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [12:35:01.158743] Epoch: [45] [100/850] eta: 0:11:12 lr: 0.002400 loss: 0.0786 (0.0767) loss_rec_all: 0.1142 (0.1123) loss_rec_sfr: 0.1861 (0.1653) loss_cl: -0.3672 (-0.3672) time: 0.8597 data: 0.0002 max mem: 29859 [12:35:18.409298] Epoch: [45] [120/850] eta: 0:10:50 lr: 0.002400 loss: 0.0750 (0.0769) loss_rec_all: 0.1103 (0.1124) loss_rec_sfr: 0.1525 (0.1650) loss_cl: -0.3670 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [12:35:35.598598] Epoch: [45] [140/850] eta: 0:10:29 lr: 0.002400 loss: 0.0764 (0.0771) loss_rec_all: 0.1115 (0.1126) loss_rec_sfr: 0.1745 (0.1661) loss_cl: -0.3663 (-0.3670) time: 0.8594 data: 0.0002 max mem: 29859 [12:35:52.844597] Epoch: [45] [160/850] eta: 0:10:09 lr: 0.002400 loss: 0.0753 (0.0773) loss_rec_all: 0.1106 (0.1128) loss_rec_sfr: 0.1737 (0.1654) loss_cl: -0.3666 (-0.3670) time: 0.8623 data: 0.0002 max mem: 29859 [12:36:10.056442] Epoch: [45] [180/850] eta: 0:09:50 lr: 0.002400 loss: 0.0729 (0.0769) loss_rec_all: 0.1086 (0.1125) loss_rec_sfr: 0.1267 (0.1640) loss_cl: -0.3669 (-0.3670) time: 0.8605 data: 0.0002 max mem: 29859 [12:36:27.282697] Epoch: [45] [200/850] eta: 0:09:31 lr: 0.002400 loss: 0.0709 (0.0764) loss_rec_all: 0.1066 (0.1120) loss_rec_sfr: 0.1225 (0.1616) loss_cl: -0.3677 (-0.3671) time: 0.8613 data: 0.0002 max mem: 29859 [12:36:44.521093] Epoch: [45] [220/850] eta: 0:09:12 lr: 0.002400 loss: 0.0719 (0.0762) loss_rec_all: 0.1073 (0.1118) loss_rec_sfr: 0.1562 (0.1614) loss_cl: -0.3675 (-0.3671) time: 0.8619 data: 0.0002 max mem: 29859 [12:37:01.750166] Epoch: [45] [240/850] eta: 0:08:54 lr: 0.002400 loss: 0.0722 (0.0760) loss_rec_all: 0.1075 (0.1116) loss_rec_sfr: 0.1756 (0.1622) loss_cl: -0.3669 (-0.3671) time: 0.8614 data: 0.0002 max mem: 29859 [12:37:18.981218] Epoch: [45] [260/850] eta: 0:08:36 lr: 0.002400 loss: 0.0784 (0.0763) loss_rec_all: 0.1140 (0.1119) loss_rec_sfr: 0.1792 (0.1636) loss_cl: -0.3670 (-0.3671) time: 0.8615 data: 0.0002 max mem: 29859 [12:37:36.228211] Epoch: [45] [280/850] eta: 0:08:18 lr: 0.002400 loss: 0.0719 (0.0761) loss_rec_all: 0.1075 (0.1117) loss_rec_sfr: 0.1414 (0.1630) loss_cl: -0.3675 (-0.3671) time: 0.8623 data: 0.0002 max mem: 29859 [12:37:53.428279] Epoch: [45] [300/850] eta: 0:08:00 lr: 0.002400 loss: 0.0744 (0.0762) loss_rec_all: 0.1103 (0.1117) loss_rec_sfr: 0.1807 (0.1637) loss_cl: -0.3677 (-0.3671) time: 0.8600 data: 0.0002 max mem: 29859 [12:38:10.663344] Epoch: [45] [320/850] eta: 0:07:42 lr: 0.002400 loss: 0.0724 (0.0760) loss_rec_all: 0.1081 (0.1116) loss_rec_sfr: 0.1453 (0.1636) loss_cl: -0.3669 (-0.3671) time: 0.8617 data: 0.0002 max mem: 29859 [12:38:27.871970] Epoch: [45] [340/850] eta: 0:07:24 lr: 0.002400 loss: 0.0743 (0.0760) loss_rec_all: 0.1093 (0.1116) loss_rec_sfr: 0.1806 (0.1640) loss_cl: -0.3662 (-0.3671) time: 0.8604 data: 0.0002 max mem: 29859 [12:38:45.113769] Epoch: [45] [360/850] eta: 0:07:06 lr: 0.002400 loss: 0.0775 (0.0762) loss_rec_all: 0.1130 (0.1117) loss_rec_sfr: 0.1474 (0.1639) loss_cl: -0.3658 (-0.3670) time: 0.8620 data: 0.0002 max mem: 29859 [12:39:02.310225] Epoch: [45] [380/850] eta: 0:06:49 lr: 0.002400 loss: 0.0805 (0.0765) loss_rec_all: 0.1157 (0.1121) loss_rec_sfr: 0.1522 (0.1645) loss_cl: -0.3663 (-0.3670) time: 0.8598 data: 0.0002 max mem: 29859 [12:39:19.591142] Epoch: [45] [400/850] eta: 0:06:31 lr: 0.002400 loss: 0.0785 (0.0767) loss_rec_all: 0.1140 (0.1122) loss_rec_sfr: 0.1452 (0.1640) loss_cl: -0.3668 (-0.3669) time: 0.8640 data: 0.0002 max mem: 29859 [12:39:36.783262] Epoch: [45] [420/850] eta: 0:06:13 lr: 0.002400 loss: 0.0747 (0.0767) loss_rec_all: 0.1105 (0.1122) loss_rec_sfr: 0.1365 (0.1638) loss_cl: -0.3672 (-0.3670) time: 0.8596 data: 0.0002 max mem: 29859 [12:39:54.029386] Epoch: [45] [440/850] eta: 0:05:56 lr: 0.002400 loss: 0.0725 (0.0766) loss_rec_all: 0.1080 (0.1121) loss_rec_sfr: 0.1457 (0.1639) loss_cl: -0.3682 (-0.3670) time: 0.8623 data: 0.0002 max mem: 29859 [12:40:11.232038] Epoch: [45] [460/850] eta: 0:05:38 lr: 0.002400 loss: 0.0725 (0.0764) loss_rec_all: 0.1081 (0.1120) loss_rec_sfr: 0.1458 (0.1634) loss_cl: -0.3674 (-0.3670) time: 0.8601 data: 0.0002 max mem: 29859 [12:40:28.471795] Epoch: [45] [480/850] eta: 0:05:21 lr: 0.002400 loss: 0.0743 (0.0764) loss_rec_all: 0.1099 (0.1120) loss_rec_sfr: 0.1865 (0.1638) loss_cl: -0.3666 (-0.3670) time: 0.8619 data: 0.0002 max mem: 29859 [12:40:45.677133] Epoch: [45] [500/850] eta: 0:05:03 lr: 0.002400 loss: 0.0761 (0.0764) loss_rec_all: 0.1113 (0.1120) loss_rec_sfr: 0.1760 (0.1640) loss_cl: -0.3671 (-0.3670) time: 0.8602 data: 0.0002 max mem: 29859 [12:41:02.919023] Epoch: [45] [520/850] eta: 0:04:46 lr: 0.002400 loss: 0.0803 (0.0766) loss_rec_all: 0.1159 (0.1122) loss_rec_sfr: 0.1465 (0.1641) loss_cl: -0.3668 (-0.3670) time: 0.8621 data: 0.0002 max mem: 29859 [12:41:20.134935] Epoch: [45] [540/850] eta: 0:04:29 lr: 0.002400 loss: 0.0785 (0.0768) loss_rec_all: 0.1142 (0.1123) loss_rec_sfr: 0.1814 (0.1645) loss_cl: -0.3667 (-0.3670) time: 0.8607 data: 0.0002 max mem: 29859 [12:41:37.384186] Epoch: [45] [560/850] eta: 0:04:11 lr: 0.002400 loss: 0.0798 (0.0769) loss_rec_all: 0.1153 (0.1124) loss_rec_sfr: 0.1725 (0.1653) loss_cl: -0.3671 (-0.3670) time: 0.8624 data: 0.0002 max mem: 29859 [12:41:54.583902] Epoch: [45] [580/850] eta: 0:03:54 lr: 0.002400 loss: 0.0745 (0.0769) loss_rec_all: 0.1100 (0.1124) loss_rec_sfr: 0.1512 (0.1651) loss_cl: -0.3673 (-0.3670) time: 0.8599 data: 0.0002 max mem: 29859 [12:42:11.812368] Epoch: [45] [600/850] eta: 0:03:36 lr: 0.002400 loss: 0.0742 (0.0768) loss_rec_all: 0.1098 (0.1123) loss_rec_sfr: 0.2024 (0.1656) loss_cl: -0.3678 (-0.3670) time: 0.8614 data: 0.0002 max mem: 29859 [12:42:29.072835] Epoch: [45] [620/850] eta: 0:03:19 lr: 0.002400 loss: 0.0754 (0.0768) loss_rec_all: 0.1106 (0.1123) loss_rec_sfr: 0.1720 (0.1657) loss_cl: -0.3667 (-0.3670) time: 0.8630 data: 0.0002 max mem: 29859 [12:42:46.308170] Epoch: [45] [640/850] eta: 0:03:02 lr: 0.002400 loss: 0.0748 (0.0768) loss_rec_all: 0.1102 (0.1124) loss_rec_sfr: 0.1806 (0.1658) loss_cl: -0.3662 (-0.3670) time: 0.8617 data: 0.0002 max mem: 29859 [12:43:03.509465] Epoch: [45] [660/850] eta: 0:02:44 lr: 0.002400 loss: 0.0782 (0.0769) loss_rec_all: 0.1134 (0.1124) loss_rec_sfr: 0.2041 (0.1662) loss_cl: -0.3668 (-0.3670) time: 0.8600 data: 0.0002 max mem: 29859 [12:43:20.791189] Epoch: [45] [680/850] eta: 0:02:27 lr: 0.002400 loss: 0.0740 (0.0768) loss_rec_all: 0.1094 (0.1124) loss_rec_sfr: 0.1538 (0.1662) loss_cl: -0.3672 (-0.3670) time: 0.8640 data: 0.0002 max mem: 29859 [12:43:37.983257] Epoch: [45] [700/850] eta: 0:02:09 lr: 0.002400 loss: 0.0747 (0.0769) loss_rec_all: 0.1105 (0.1124) loss_rec_sfr: 0.1721 (0.1662) loss_cl: -0.3673 (-0.3670) time: 0.8596 data: 0.0002 max mem: 29859 [12:43:55.222499] Epoch: [45] [720/850] eta: 0:01:52 lr: 0.002400 loss: 0.0717 (0.0768) loss_rec_all: 0.1076 (0.1124) loss_rec_sfr: 0.1152 (0.1658) loss_cl: -0.3666 (-0.3670) time: 0.8619 data: 0.0002 max mem: 29859 [12:44:12.430886] Epoch: [45] [740/850] eta: 0:01:35 lr: 0.002400 loss: 0.0729 (0.0767) loss_rec_all: 0.1089 (0.1123) loss_rec_sfr: 0.1293 (0.1654) loss_cl: -0.3670 (-0.3669) time: 0.8604 data: 0.0002 max mem: 29859 [12:44:29.684251] Epoch: [45] [760/850] eta: 0:01:17 lr: 0.002400 loss: 0.0716 (0.0766) loss_rec_all: 0.1070 (0.1121) loss_rec_sfr: 0.1681 (0.1656) loss_cl: -0.3677 (-0.3670) time: 0.8626 data: 0.0002 max mem: 29859 [12:44:46.882407] Epoch: [45] [780/850] eta: 0:01:00 lr: 0.002400 loss: 0.0740 (0.0766) loss_rec_all: 0.1095 (0.1121) loss_rec_sfr: 0.1721 (0.1657) loss_cl: -0.3667 (-0.3670) time: 0.8599 data: 0.0002 max mem: 29859 [12:45:04.176677] Epoch: [45] [800/850] eta: 0:00:43 lr: 0.002400 loss: 0.0697 (0.0764) loss_rec_all: 0.1054 (0.1119) loss_rec_sfr: 0.1236 (0.1653) loss_cl: -0.3666 (-0.3670) time: 0.8646 data: 0.0002 max mem: 29859 [12:45:21.369414] Epoch: [45] [820/850] eta: 0:00:25 lr: 0.002400 loss: 0.0696 (0.0763) loss_rec_all: 0.1054 (0.1118) loss_rec_sfr: 0.1639 (0.1652) loss_cl: -0.3671 (-0.3670) time: 0.8596 data: 0.0002 max mem: 29859 [12:45:38.609499] Epoch: [45] [840/850] eta: 0:00:08 lr: 0.002400 loss: 0.0731 (0.0763) loss_rec_all: 0.1085 (0.1118) loss_rec_sfr: 0.1892 (0.1654) loss_cl: -0.3668 (-0.3670) time: 0.8620 data: 0.0005 max mem: 29859 [12:45:46.382519] Epoch: [45] [849/850] eta: 0:00:00 lr: 0.002400 loss: 0.0729 (0.0762) loss_rec_all: 0.1084 (0.1118) loss_rec_sfr: 0.1702 (0.1653) loss_cl: -0.3671 (-0.3670) time: 0.8636 data: 0.0004 max mem: 29859 [12:45:46.536407] Epoch: [45] Total time: 0:12:15 (0.8658 s / it) [12:45:46.564081] Averaged stats: lr: 0.002400 loss: 0.0729 (0.0763) loss_rec_all: 0.1084 (0.1119) loss_rec_sfr: 0.1702 (0.1642) loss_cl: -0.3671 (-0.3669) [12:45:46.569809] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [12:45:50.743926] Epoch: [46] [ 0/850] eta: 0:59:07 lr: 0.002400 loss: 0.0671 (0.0671) loss_rec_all: 0.1030 (0.1030) loss_rec_sfr: 0.1173 (0.1173) loss_cl: -0.3668 (-0.3668) time: 4.1734 data: 3.1369 max mem: 29859 [12:46:07.909287] Epoch: [46] [ 20/850] eta: 0:14:03 lr: 0.002400 loss: 0.0736 (0.0745) loss_rec_all: 0.1093 (0.1101) loss_rec_sfr: 0.1739 (0.1692) loss_cl: -0.3670 (-0.3670) time: 0.8582 data: 0.0002 max mem: 29859 [12:46:25.145406] Epoch: [46] [ 40/850] eta: 0:12:42 lr: 0.002400 loss: 0.0764 (0.0768) loss_rec_all: 0.1120 (0.1123) loss_rec_sfr: 0.1603 (0.1670) loss_cl: -0.3668 (-0.3669) time: 0.8618 data: 0.0002 max mem: 29859 [12:46:42.346233] Epoch: [46] [ 60/850] eta: 0:12:02 lr: 0.002400 loss: 0.0735 (0.0770) loss_rec_all: 0.1092 (0.1125) loss_rec_sfr: 0.1510 (0.1660) loss_cl: -0.3667 (-0.3668) time: 0.8600 data: 0.0002 max mem: 29859 [12:46:59.590245] Epoch: [46] [ 80/850] eta: 0:11:34 lr: 0.002400 loss: 0.0708 (0.0761) loss_rec_all: 0.1066 (0.1116) loss_rec_sfr: 0.1431 (0.1630) loss_cl: -0.3668 (-0.3668) time: 0.8622 data: 0.0002 max mem: 29859 [12:47:16.783283] Epoch: [46] [100/850] eta: 0:11:09 lr: 0.002400 loss: 0.0725 (0.0755) loss_rec_all: 0.1077 (0.1111) loss_rec_sfr: 0.1482 (0.1635) loss_cl: -0.3672 (-0.3669) time: 0.8596 data: 0.0002 max mem: 29859 [12:47:34.020413] Epoch: [46] [120/850] eta: 0:10:48 lr: 0.002400 loss: 0.0744 (0.0757) loss_rec_all: 0.1095 (0.1112) loss_rec_sfr: 0.1398 (0.1629) loss_cl: -0.3674 (-0.3669) time: 0.8618 data: 0.0002 max mem: 29859 [12:47:51.213077] Epoch: [46] [140/850] eta: 0:10:27 lr: 0.002400 loss: 0.0697 (0.0751) loss_rec_all: 0.1056 (0.1107) loss_rec_sfr: 0.1222 (0.1595) loss_cl: -0.3660 (-0.3668) time: 0.8596 data: 0.0002 max mem: 29859 [12:48:08.455321] Epoch: [46] [160/850] eta: 0:10:08 lr: 0.002400 loss: 0.0715 (0.0748) loss_rec_all: 0.1067 (0.1103) loss_rec_sfr: 0.1697 (0.1602) loss_cl: -0.3662 (-0.3667) time: 0.8621 data: 0.0002 max mem: 29859 [12:48:25.677321] Epoch: [46] [180/850] eta: 0:09:48 lr: 0.002400 loss: 0.0726 (0.0747) loss_rec_all: 0.1084 (0.1102) loss_rec_sfr: 0.1615 (0.1612) loss_cl: -0.3665 (-0.3667) time: 0.8610 data: 0.0002 max mem: 29859 [12:48:42.968657] Epoch: [46] [200/850] eta: 0:09:30 lr: 0.002400 loss: 0.0724 (0.0747) loss_rec_all: 0.1082 (0.1102) loss_rec_sfr: 0.1471 (0.1615) loss_cl: -0.3667 (-0.3667) time: 0.8645 data: 0.0002 max mem: 29859 [12:49:00.208756] Epoch: [46] [220/850] eta: 0:09:11 lr: 0.002400 loss: 0.0776 (0.0751) loss_rec_all: 0.1131 (0.1106) loss_rec_sfr: 0.1966 (0.1637) loss_cl: -0.3666 (-0.3667) time: 0.8620 data: 0.0002 max mem: 29859 [12:49:17.440248] Epoch: [46] [240/850] eta: 0:08:53 lr: 0.002400 loss: 0.0763 (0.0755) loss_rec_all: 0.1120 (0.1110) loss_rec_sfr: 0.1775 (0.1646) loss_cl: -0.3674 (-0.3667) time: 0.8615 data: 0.0002 max mem: 29859 [12:49:34.638894] Epoch: [46] [260/850] eta: 0:08:35 lr: 0.002400 loss: 0.0751 (0.0756) loss_rec_all: 0.1108 (0.1111) loss_rec_sfr: 0.1528 (0.1648) loss_cl: -0.3671 (-0.3668) time: 0.8599 data: 0.0002 max mem: 29859 [12:49:51.883367] Epoch: [46] [280/850] eta: 0:08:17 lr: 0.002400 loss: 0.0725 (0.0754) loss_rec_all: 0.1084 (0.1109) loss_rec_sfr: 0.1294 (0.1633) loss_cl: -0.3667 (-0.3667) time: 0.8622 data: 0.0002 max mem: 29859 [12:50:09.071877] Epoch: [46] [300/850] eta: 0:07:59 lr: 0.002400 loss: 0.0695 (0.0750) loss_rec_all: 0.1051 (0.1106) loss_rec_sfr: 0.1250 (0.1625) loss_cl: -0.3670 (-0.3668) time: 0.8594 data: 0.0002 max mem: 29859 [12:50:26.312983] Epoch: [46] [320/850] eta: 0:07:41 lr: 0.002400 loss: 0.0691 (0.0749) loss_rec_all: 0.1049 (0.1104) loss_rec_sfr: 0.1646 (0.1620) loss_cl: -0.3672 (-0.3668) time: 0.8620 data: 0.0002 max mem: 29859 [12:50:43.520739] Epoch: [46] [340/850] eta: 0:07:24 lr: 0.002400 loss: 0.0690 (0.0747) loss_rec_all: 0.1049 (0.1102) loss_rec_sfr: 0.1693 (0.1618) loss_cl: -0.3668 (-0.3668) time: 0.8603 data: 0.0002 max mem: 29859 [12:51:00.768921] Epoch: [46] [360/850] eta: 0:07:06 lr: 0.002400 loss: 0.0747 (0.0748) loss_rec_all: 0.1102 (0.1103) loss_rec_sfr: 0.1711 (0.1622) loss_cl: -0.3664 (-0.3668) time: 0.8624 data: 0.0002 max mem: 29859 [12:51:17.969322] Epoch: [46] [380/850] eta: 0:06:48 lr: 0.002400 loss: 0.0727 (0.0748) loss_rec_all: 0.1087 (0.1104) loss_rec_sfr: 0.1358 (0.1619) loss_cl: -0.3668 (-0.3668) time: 0.8600 data: 0.0002 max mem: 29859 [12:51:35.228893] Epoch: [46] [400/850] eta: 0:06:31 lr: 0.002400 loss: 0.0761 (0.0750) loss_rec_all: 0.1111 (0.1105) loss_rec_sfr: 0.1837 (0.1627) loss_cl: -0.3670 (-0.3668) time: 0.8629 data: 0.0002 max mem: 29859 [12:51:52.416470] Epoch: [46] [420/850] eta: 0:06:13 lr: 0.002400 loss: 0.0723 (0.0749) loss_rec_all: 0.1078 (0.1105) loss_rec_sfr: 0.1659 (0.1628) loss_cl: -0.3673 (-0.3668) time: 0.8593 data: 0.0002 max mem: 29859 [12:52:09.665446] Epoch: [46] [440/850] eta: 0:05:56 lr: 0.002400 loss: 0.0723 (0.0750) loss_rec_all: 0.1083 (0.1105) loss_rec_sfr: 0.1692 (0.1627) loss_cl: -0.3673 (-0.3668) time: 0.8624 data: 0.0002 max mem: 29859 [12:52:26.883095] Epoch: [46] [460/850] eta: 0:05:38 lr: 0.002400 loss: 0.0727 (0.0749) loss_rec_all: 0.1083 (0.1105) loss_rec_sfr: 0.1719 (0.1630) loss_cl: -0.3668 (-0.3668) time: 0.8608 data: 0.0002 max mem: 29859 [12:52:44.107407] Epoch: [46] [480/850] eta: 0:05:21 lr: 0.002400 loss: 0.0697 (0.0748) loss_rec_all: 0.1050 (0.1103) loss_rec_sfr: 0.1724 (0.1629) loss_cl: -0.3668 (-0.3668) time: 0.8612 data: 0.0002 max mem: 29859 [12:53:01.307947] Epoch: [46] [500/850] eta: 0:05:03 lr: 0.002400 loss: 0.0715 (0.0747) loss_rec_all: 0.1071 (0.1103) loss_rec_sfr: 0.1447 (0.1625) loss_cl: -0.3660 (-0.3668) time: 0.8600 data: 0.0002 max mem: 29859 [12:53:18.546512] Epoch: [46] [520/850] eta: 0:04:46 lr: 0.002400 loss: 0.0695 (0.0746) loss_rec_all: 0.1052 (0.1101) loss_rec_sfr: 0.1441 (0.1623) loss_cl: -0.3672 (-0.3668) time: 0.8619 data: 0.0002 max mem: 29859 [12:53:35.749399] Epoch: [46] [540/850] eta: 0:04:28 lr: 0.002400 loss: 0.0685 (0.0744) loss_rec_all: 0.1039 (0.1100) loss_rec_sfr: 0.1703 (0.1622) loss_cl: -0.3678 (-0.3668) time: 0.8601 data: 0.0002 max mem: 29859 [12:53:52.987059] Epoch: [46] [560/850] eta: 0:04:11 lr: 0.002400 loss: 0.0701 (0.0743) loss_rec_all: 0.1054 (0.1098) loss_rec_sfr: 0.1991 (0.1629) loss_cl: -0.3678 (-0.3668) time: 0.8618 data: 0.0002 max mem: 29859 [12:54:10.205017] Epoch: [46] [580/850] eta: 0:03:54 lr: 0.002400 loss: 0.0726 (0.0743) loss_rec_all: 0.1083 (0.1099) loss_rec_sfr: 0.1690 (0.1633) loss_cl: -0.3666 (-0.3668) time: 0.8608 data: 0.0002 max mem: 29859 [12:54:27.430508] Epoch: [46] [600/850] eta: 0:03:36 lr: 0.002400 loss: 0.0774 (0.0744) loss_rec_all: 0.1127 (0.1100) loss_rec_sfr: 0.1455 (0.1634) loss_cl: -0.3659 (-0.3668) time: 0.8612 data: 0.0001 max mem: 29859 [12:54:44.650045] Epoch: [46] [620/850] eta: 0:03:19 lr: 0.002400 loss: 0.0733 (0.0745) loss_rec_all: 0.1085 (0.1100) loss_rec_sfr: 0.1675 (0.1634) loss_cl: -0.3668 (-0.3668) time: 0.8609 data: 0.0002 max mem: 29859 [12:55:01.888797] Epoch: [46] [640/850] eta: 0:03:01 lr: 0.002400 loss: 0.0712 (0.0745) loss_rec_all: 0.1070 (0.1101) loss_rec_sfr: 0.1333 (0.1634) loss_cl: -0.3672 (-0.3668) time: 0.8619 data: 0.0002 max mem: 29859 [12:55:19.073022] Epoch: [46] [660/850] eta: 0:02:44 lr: 0.002400 loss: 0.0751 (0.0746) loss_rec_all: 0.1102 (0.1101) loss_rec_sfr: 0.1756 (0.1636) loss_cl: -0.3670 (-0.3668) time: 0.8592 data: 0.0001 max mem: 29859 [12:55:36.339423] Epoch: [46] [680/850] eta: 0:02:27 lr: 0.002400 loss: 0.0700 (0.0745) loss_rec_all: 0.1056 (0.1100) loss_rec_sfr: 0.1251 (0.1630) loss_cl: -0.3675 (-0.3669) time: 0.8633 data: 0.0002 max mem: 29859 [12:55:53.530190] Epoch: [46] [700/850] eta: 0:02:09 lr: 0.002400 loss: 0.0698 (0.0744) loss_rec_all: 0.1057 (0.1100) loss_rec_sfr: 0.1243 (0.1625) loss_cl: -0.3666 (-0.3668) time: 0.8595 data: 0.0001 max mem: 29859 [12:56:10.791243] Epoch: [46] [720/850] eta: 0:01:52 lr: 0.002400 loss: 0.0663 (0.0742) loss_rec_all: 0.1020 (0.1097) loss_rec_sfr: 0.1225 (0.1617) loss_cl: -0.3671 (-0.3668) time: 0.8630 data: 0.0002 max mem: 29859 [12:56:27.997383] Epoch: [46] [740/850] eta: 0:01:35 lr: 0.002400 loss: 0.0681 (0.0741) loss_rec_all: 0.1040 (0.1097) loss_rec_sfr: 0.1293 (0.1614) loss_cl: -0.3681 (-0.3669) time: 0.8603 data: 0.0002 max mem: 29859 [12:56:45.250672] Epoch: [46] [760/850] eta: 0:01:17 lr: 0.002400 loss: 0.0670 (0.0740) loss_rec_all: 0.1028 (0.1095) loss_rec_sfr: 0.1196 (0.1608) loss_cl: -0.3671 (-0.3669) time: 0.8626 data: 0.0002 max mem: 29859 [12:57:02.447089] Epoch: [46] [780/850] eta: 0:01:00 lr: 0.002400 loss: 0.0703 (0.0739) loss_rec_all: 0.1060 (0.1095) loss_rec_sfr: 0.1428 (0.1607) loss_cl: -0.3667 (-0.3669) time: 0.8598 data: 0.0002 max mem: 29859 [12:57:19.687989] Epoch: [46] [800/850] eta: 0:00:43 lr: 0.002400 loss: 0.0736 (0.0740) loss_rec_all: 0.1087 (0.1095) loss_rec_sfr: 0.1613 (0.1609) loss_cl: -0.3667 (-0.3669) time: 0.8620 data: 0.0002 max mem: 29859 [12:57:36.893030] Epoch: [46] [820/850] eta: 0:00:25 lr: 0.002400 loss: 0.0733 (0.0740) loss_rec_all: 0.1090 (0.1096) loss_rec_sfr: 0.1700 (0.1612) loss_cl: -0.3670 (-0.3669) time: 0.8602 data: 0.0002 max mem: 29859 [12:57:54.132844] Epoch: [46] [840/850] eta: 0:00:08 lr: 0.002399 loss: 0.0731 (0.0741) loss_rec_all: 0.1089 (0.1096) loss_rec_sfr: 0.1460 (0.1611) loss_cl: -0.3669 (-0.3669) time: 0.8619 data: 0.0004 max mem: 29859 [12:58:01.875555] Epoch: [46] [849/850] eta: 0:00:00 lr: 0.002399 loss: 0.0734 (0.0741) loss_rec_all: 0.1092 (0.1096) loss_rec_sfr: 0.1511 (0.1609) loss_cl: -0.3670 (-0.3669) time: 0.8618 data: 0.0004 max mem: 29859 [12:58:02.040398] Epoch: [46] Total time: 0:12:15 (0.8653 s / it) [12:58:02.059679] Averaged stats: lr: 0.002399 loss: 0.0734 (0.0740) loss_rec_all: 0.1092 (0.1095) loss_rec_sfr: 0.1511 (0.1618) loss_cl: -0.3670 (-0.3669) [12:58:02.068062] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [12:58:07.099973] Epoch: [47] [ 0/850] eta: 1:11:16 lr: 0.002399 loss: 0.0675 (0.0675) loss_rec_all: 0.1031 (0.1031) loss_rec_sfr: 0.1376 (0.1376) loss_cl: -0.3658 (-0.3658) time: 5.0312 data: 4.0536 max mem: 29859 [12:58:24.245527] Epoch: [47] [ 20/850] eta: 0:14:36 lr: 0.002399 loss: 0.0698 (0.0704) loss_rec_all: 0.1051 (0.1060) loss_rec_sfr: 0.1432 (0.1548) loss_cl: -0.3674 (-0.3673) time: 0.8572 data: 0.0002 max mem: 29859 [12:58:41.507700] Epoch: [47] [ 40/850] eta: 0:12:59 lr: 0.002399 loss: 0.0719 (0.0721) loss_rec_all: 0.1078 (0.1077) loss_rec_sfr: 0.1620 (0.1584) loss_cl: -0.3673 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [12:58:58.750525] Epoch: [47] [ 60/850] eta: 0:12:14 lr: 0.002399 loss: 0.0684 (0.0714) loss_rec_all: 0.1037 (0.1070) loss_rec_sfr: 0.1694 (0.1577) loss_cl: -0.3669 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [12:59:15.978117] Epoch: [47] [ 80/850] eta: 0:11:42 lr: 0.002399 loss: 0.0681 (0.0709) loss_rec_all: 0.1040 (0.1065) loss_rec_sfr: 0.1832 (0.1602) loss_cl: -0.3668 (-0.3671) time: 0.8613 data: 0.0002 max mem: 29859 [12:59:33.189777] Epoch: [47] [100/850] eta: 0:11:16 lr: 0.002399 loss: 0.0735 (0.0718) loss_rec_all: 0.1094 (0.1074) loss_rec_sfr: 0.1737 (0.1624) loss_cl: -0.3676 (-0.3671) time: 0.8605 data: 0.0002 max mem: 29859 [12:59:50.502426] Epoch: [47] [120/850] eta: 0:10:54 lr: 0.002399 loss: 0.0711 (0.0719) loss_rec_all: 0.1069 (0.1075) loss_rec_sfr: 0.1687 (0.1622) loss_cl: -0.3672 (-0.3672) time: 0.8656 data: 0.0002 max mem: 29859 [13:00:07.698043] Epoch: [47] [140/850] eta: 0:10:32 lr: 0.002399 loss: 0.0717 (0.0720) loss_rec_all: 0.1075 (0.1076) loss_rec_sfr: 0.1445 (0.1629) loss_cl: -0.3668 (-0.3671) time: 0.8597 data: 0.0002 max mem: 29859 [13:00:24.916230] Epoch: [47] [160/850] eta: 0:10:12 lr: 0.002399 loss: 0.0707 (0.0723) loss_rec_all: 0.1063 (0.1078) loss_rec_sfr: 0.1726 (0.1645) loss_cl: -0.3668 (-0.3671) time: 0.8609 data: 0.0002 max mem: 29859 [13:00:42.126636] Epoch: [47] [180/850] eta: 0:09:52 lr: 0.002399 loss: 0.0738 (0.0726) loss_rec_all: 0.1095 (0.1082) loss_rec_sfr: 0.1651 (0.1639) loss_cl: -0.3675 (-0.3671) time: 0.8605 data: 0.0002 max mem: 29859 [13:00:59.328988] Epoch: [47] [200/850] eta: 0:09:33 lr: 0.002399 loss: 0.0719 (0.0728) loss_rec_all: 0.1078 (0.1084) loss_rec_sfr: 0.1242 (0.1621) loss_cl: -0.3667 (-0.3671) time: 0.8601 data: 0.0001 max mem: 29859 [13:01:16.494281] Epoch: [47] [220/850] eta: 0:09:14 lr: 0.002399 loss: 0.0727 (0.0730) loss_rec_all: 0.1083 (0.1086) loss_rec_sfr: 0.1854 (0.1629) loss_cl: -0.3665 (-0.3670) time: 0.8582 data: 0.0002 max mem: 29859 [13:01:33.803631] Epoch: [47] [240/850] eta: 0:08:55 lr: 0.002399 loss: 0.0696 (0.0729) loss_rec_all: 0.1049 (0.1084) loss_rec_sfr: 0.1651 (0.1626) loss_cl: -0.3671 (-0.3670) time: 0.8654 data: 0.0003 max mem: 29859 [13:01:51.006020] Epoch: [47] [260/850] eta: 0:08:37 lr: 0.002399 loss: 0.0659 (0.0725) loss_rec_all: 0.1019 (0.1081) loss_rec_sfr: 0.1358 (0.1616) loss_cl: -0.3669 (-0.3670) time: 0.8601 data: 0.0002 max mem: 29859 [13:02:08.250830] Epoch: [47] [280/850] eta: 0:08:19 lr: 0.002399 loss: 0.0672 (0.0724) loss_rec_all: 0.1029 (0.1080) loss_rec_sfr: 0.1671 (0.1616) loss_cl: -0.3671 (-0.3670) time: 0.8622 data: 0.0002 max mem: 29859 [13:02:25.503624] Epoch: [47] [300/850] eta: 0:08:01 lr: 0.002399 loss: 0.0672 (0.0721) loss_rec_all: 0.1030 (0.1076) loss_rec_sfr: 0.1276 (0.1607) loss_cl: -0.3672 (-0.3670) time: 0.8626 data: 0.0003 max mem: 29859 [13:02:42.746737] Epoch: [47] [320/850] eta: 0:07:43 lr: 0.002399 loss: 0.0681 (0.0720) loss_rec_all: 0.1034 (0.1075) loss_rec_sfr: 0.1324 (0.1600) loss_cl: -0.3666 (-0.3670) time: 0.8621 data: 0.0002 max mem: 29859 [13:02:59.933265] Epoch: [47] [340/850] eta: 0:07:25 lr: 0.002399 loss: 0.0711 (0.0721) loss_rec_all: 0.1069 (0.1077) loss_rec_sfr: 0.1240 (0.1588) loss_cl: -0.3668 (-0.3669) time: 0.8593 data: 0.0002 max mem: 29859 [13:03:17.250580] Epoch: [47] [360/850] eta: 0:07:07 lr: 0.002399 loss: 0.0720 (0.0722) loss_rec_all: 0.1078 (0.1078) loss_rec_sfr: 0.1804 (0.1594) loss_cl: -0.3674 (-0.3670) time: 0.8658 data: 0.0002 max mem: 29859 [13:03:34.451551] Epoch: [47] [380/850] eta: 0:06:50 lr: 0.002399 loss: 0.0669 (0.0720) loss_rec_all: 0.1026 (0.1076) loss_rec_sfr: 0.1217 (0.1586) loss_cl: -0.3679 (-0.3670) time: 0.8600 data: 0.0002 max mem: 29859 [13:03:51.671595] Epoch: [47] [400/850] eta: 0:06:32 lr: 0.002399 loss: 0.0700 (0.0720) loss_rec_all: 0.1054 (0.1076) loss_rec_sfr: 0.1699 (0.1585) loss_cl: -0.3672 (-0.3670) time: 0.8610 data: 0.0002 max mem: 29859 [13:04:08.965089] Epoch: [47] [420/850] eta: 0:06:14 lr: 0.002399 loss: 0.0691 (0.0720) loss_rec_all: 0.1050 (0.1076) loss_rec_sfr: 0.1617 (0.1585) loss_cl: -0.3668 (-0.3670) time: 0.8646 data: 0.0002 max mem: 29859 [13:04:26.298710] Epoch: [47] [440/850] eta: 0:05:57 lr: 0.002399 loss: 0.0778 (0.0722) loss_rec_all: 0.1130 (0.1078) loss_rec_sfr: 0.1477 (0.1587) loss_cl: -0.3661 (-0.3670) time: 0.8666 data: 0.0002 max mem: 29859 [13:04:43.477454] Epoch: [47] [460/850] eta: 0:05:39 lr: 0.002399 loss: 0.0762 (0.0724) loss_rec_all: 0.1115 (0.1080) loss_rec_sfr: 0.1436 (0.1587) loss_cl: -0.3663 (-0.3669) time: 0.8589 data: 0.0002 max mem: 29859 [13:05:00.767850] Epoch: [47] [480/850] eta: 0:05:22 lr: 0.002399 loss: 0.0758 (0.0726) loss_rec_all: 0.1116 (0.1082) loss_rec_sfr: 0.1736 (0.1592) loss_cl: -0.3666 (-0.3669) time: 0.8645 data: 0.0003 max mem: 29859 [13:05:17.982867] Epoch: [47] [500/850] eta: 0:05:04 lr: 0.002399 loss: 0.0743 (0.0728) loss_rec_all: 0.1099 (0.1084) loss_rec_sfr: 0.1722 (0.1596) loss_cl: -0.3675 (-0.3669) time: 0.8607 data: 0.0002 max mem: 29859 [13:05:35.212461] Epoch: [47] [520/850] eta: 0:04:47 lr: 0.002399 loss: 0.0732 (0.0729) loss_rec_all: 0.1090 (0.1084) loss_rec_sfr: 0.1595 (0.1598) loss_cl: -0.3679 (-0.3670) time: 0.8614 data: 0.0002 max mem: 29859 [13:05:52.495641] Epoch: [47] [540/850] eta: 0:04:29 lr: 0.002399 loss: 0.0704 (0.0728) loss_rec_all: 0.1062 (0.1084) loss_rec_sfr: 0.1238 (0.1593) loss_cl: -0.3670 (-0.3670) time: 0.8641 data: 0.0002 max mem: 29859 [13:06:09.755323] Epoch: [47] [560/850] eta: 0:04:12 lr: 0.002399 loss: 0.0708 (0.0728) loss_rec_all: 0.1064 (0.1083) loss_rec_sfr: 0.1344 (0.1590) loss_cl: -0.3667 (-0.3669) time: 0.8629 data: 0.0002 max mem: 29859 [13:06:26.924726] Epoch: [47] [580/850] eta: 0:03:54 lr: 0.002399 loss: 0.0704 (0.0727) loss_rec_all: 0.1061 (0.1083) loss_rec_sfr: 0.1746 (0.1592) loss_cl: -0.3668 (-0.3669) time: 0.8584 data: 0.0001 max mem: 29859 [13:06:44.269511] Epoch: [47] [600/850] eta: 0:03:37 lr: 0.002399 loss: 0.0707 (0.0727) loss_rec_all: 0.1059 (0.1083) loss_rec_sfr: 0.1652 (0.1594) loss_cl: -0.3670 (-0.3669) time: 0.8672 data: 0.0002 max mem: 29859 [13:07:01.457826] Epoch: [47] [620/850] eta: 0:03:19 lr: 0.002399 loss: 0.0672 (0.0726) loss_rec_all: 0.1030 (0.1082) loss_rec_sfr: 0.1327 (0.1590) loss_cl: -0.3672 (-0.3669) time: 0.8594 data: 0.0002 max mem: 29859 [13:07:18.682519] Epoch: [47] [640/850] eta: 0:03:02 lr: 0.002399 loss: 0.0680 (0.0725) loss_rec_all: 0.1033 (0.1081) loss_rec_sfr: 0.1301 (0.1587) loss_cl: -0.3671 (-0.3670) time: 0.8612 data: 0.0002 max mem: 29859 [13:07:35.961391] Epoch: [47] [660/850] eta: 0:02:44 lr: 0.002399 loss: 0.0679 (0.0724) loss_rec_all: 0.1039 (0.1080) loss_rec_sfr: 0.1311 (0.1584) loss_cl: -0.3678 (-0.3670) time: 0.8639 data: 0.0002 max mem: 29859 [13:07:53.211163] Epoch: [47] [680/850] eta: 0:02:27 lr: 0.002399 loss: 0.0731 (0.0725) loss_rec_all: 0.1090 (0.1081) loss_rec_sfr: 0.1722 (0.1586) loss_cl: -0.3675 (-0.3670) time: 0.8624 data: 0.0002 max mem: 29859 [13:08:10.399473] Epoch: [47] [700/850] eta: 0:02:10 lr: 0.002399 loss: 0.0734 (0.0726) loss_rec_all: 0.1086 (0.1082) loss_rec_sfr: 0.1667 (0.1589) loss_cl: -0.3677 (-0.3670) time: 0.8594 data: 0.0002 max mem: 29859 [13:08:27.676572] Epoch: [47] [720/850] eta: 0:01:52 lr: 0.002399 loss: 0.0720 (0.0726) loss_rec_all: 0.1074 (0.1082) loss_rec_sfr: 0.1747 (0.1592) loss_cl: -0.3666 (-0.3670) time: 0.8638 data: 0.0002 max mem: 29859 [13:08:44.907478] Epoch: [47] [740/850] eta: 0:01:35 lr: 0.002399 loss: 0.0688 (0.0725) loss_rec_all: 0.1044 (0.1081) loss_rec_sfr: 0.1258 (0.1588) loss_cl: -0.3668 (-0.3670) time: 0.8615 data: 0.0002 max mem: 29859 [13:09:02.146134] Epoch: [47] [760/850] eta: 0:01:18 lr: 0.002399 loss: 0.0688 (0.0724) loss_rec_all: 0.1044 (0.1080) loss_rec_sfr: 0.1600 (0.1588) loss_cl: -0.3664 (-0.3670) time: 0.8619 data: 0.0002 max mem: 29859 [13:09:19.382255] Epoch: [47] [780/850] eta: 0:01:00 lr: 0.002399 loss: 0.0714 (0.0725) loss_rec_all: 0.1075 (0.1080) loss_rec_sfr: 0.1318 (0.1587) loss_cl: -0.3671 (-0.3670) time: 0.8617 data: 0.0002 max mem: 29859 [13:09:36.640628] Epoch: [47] [800/850] eta: 0:00:43 lr: 0.002399 loss: 0.0780 (0.0726) loss_rec_all: 0.1134 (0.1082) loss_rec_sfr: 0.1629 (0.1588) loss_cl: -0.3669 (-0.3670) time: 0.8629 data: 0.0002 max mem: 29859 [13:09:53.860715] Epoch: [47] [820/850] eta: 0:00:26 lr: 0.002399 loss: 0.0737 (0.0727) loss_rec_all: 0.1094 (0.1083) loss_rec_sfr: 0.1395 (0.1587) loss_cl: -0.3667 (-0.3670) time: 0.8609 data: 0.0002 max mem: 29859 [13:10:11.146273] Epoch: [47] [840/850] eta: 0:00:08 lr: 0.002399 loss: 0.0718 (0.0727) loss_rec_all: 0.1073 (0.1083) loss_rec_sfr: 0.1448 (0.1587) loss_cl: -0.3669 (-0.3670) time: 0.8642 data: 0.0009 max mem: 29859 [13:10:18.904525] Epoch: [47] [849/850] eta: 0:00:00 lr: 0.002399 loss: 0.0716 (0.0727) loss_rec_all: 0.1070 (0.1083) loss_rec_sfr: 0.1468 (0.1588) loss_cl: -0.3669 (-0.3670) time: 0.8650 data: 0.0008 max mem: 29859 [13:10:19.051486] Epoch: [47] Total time: 0:12:16 (0.8670 s / it) [13:10:19.080266] Averaged stats: lr: 0.002399 loss: 0.0716 (0.0726) loss_rec_all: 0.1070 (0.1082) loss_rec_sfr: 0.1468 (0.1596) loss_cl: -0.3669 (-0.3669) [13:10:19.086647] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [13:10:23.540527] Epoch: [48] [ 0/850] eta: 1:03:05 lr: 0.002399 loss: 0.0585 (0.0585) loss_rec_all: 0.0945 (0.0945) loss_rec_sfr: 0.0995 (0.0995) loss_cl: -0.3669 (-0.3669) time: 4.4532 data: 3.2975 max mem: 29859 [13:10:40.734590] Epoch: [48] [ 20/850] eta: 0:14:15 lr: 0.002399 loss: 0.0699 (0.0707) loss_rec_all: 0.1055 (0.1063) loss_rec_sfr: 0.1635 (0.1504) loss_cl: -0.3667 (-0.3667) time: 0.8597 data: 0.0002 max mem: 29859 [13:10:57.987727] Epoch: [48] [ 40/850] eta: 0:12:48 lr: 0.002399 loss: 0.0672 (0.0698) loss_rec_all: 0.1024 (0.1053) loss_rec_sfr: 0.1565 (0.1534) loss_cl: -0.3664 (-0.3665) time: 0.8626 data: 0.0002 max mem: 29859 [13:11:15.227772] Epoch: [48] [ 60/850] eta: 0:12:07 lr: 0.002399 loss: 0.0683 (0.0696) loss_rec_all: 0.1037 (0.1052) loss_rec_sfr: 0.1641 (0.1554) loss_cl: -0.3667 (-0.3666) time: 0.8619 data: 0.0002 max mem: 29859 [13:11:32.461502] Epoch: [48] [ 80/850] eta: 0:11:37 lr: 0.002399 loss: 0.0674 (0.0692) loss_rec_all: 0.1029 (0.1048) loss_rec_sfr: 0.1241 (0.1529) loss_cl: -0.3669 (-0.3667) time: 0.8616 data: 0.0002 max mem: 29859 [13:11:49.662461] Epoch: [48] [100/850] eta: 0:11:12 lr: 0.002399 loss: 0.0691 (0.0696) loss_rec_all: 0.1047 (0.1052) loss_rec_sfr: 0.1286 (0.1511) loss_cl: -0.3673 (-0.3668) time: 0.8600 data: 0.0002 max mem: 29859 [13:12:06.953007] Epoch: [48] [120/850] eta: 0:10:50 lr: 0.002399 loss: 0.0660 (0.0690) loss_rec_all: 0.1022 (0.1047) loss_rec_sfr: 0.1347 (0.1510) loss_cl: -0.3682 (-0.3670) time: 0.8645 data: 0.0002 max mem: 29859 [13:12:24.147658] Epoch: [48] [140/850] eta: 0:10:29 lr: 0.002399 loss: 0.0671 (0.0689) loss_rec_all: 0.1031 (0.1045) loss_rec_sfr: 0.1715 (0.1527) loss_cl: -0.3674 (-0.3671) time: 0.8597 data: 0.0002 max mem: 29859 [13:12:41.377463] Epoch: [48] [160/850] eta: 0:10:09 lr: 0.002399 loss: 0.0646 (0.0687) loss_rec_all: 0.1000 (0.1043) loss_rec_sfr: 0.1424 (0.1519) loss_cl: -0.3663 (-0.3670) time: 0.8614 data: 0.0002 max mem: 29859 [13:12:58.681539] Epoch: [48] [180/850] eta: 0:09:50 lr: 0.002399 loss: 0.0698 (0.0691) loss_rec_all: 0.1047 (0.1047) loss_rec_sfr: 0.1699 (0.1548) loss_cl: -0.3657 (-0.3668) time: 0.8651 data: 0.0003 max mem: 29859 [13:13:15.903173] Epoch: [48] [200/850] eta: 0:09:31 lr: 0.002399 loss: 0.0689 (0.0692) loss_rec_all: 0.1048 (0.1048) loss_rec_sfr: 0.1284 (0.1548) loss_cl: -0.3662 (-0.3668) time: 0.8610 data: 0.0002 max mem: 29859 [13:13:33.085583] Epoch: [48] [220/850] eta: 0:09:12 lr: 0.002399 loss: 0.0666 (0.0691) loss_rec_all: 0.1020 (0.1047) loss_rec_sfr: 0.1644 (0.1553) loss_cl: -0.3670 (-0.3668) time: 0.8591 data: 0.0002 max mem: 29859 [13:13:50.426177] Epoch: [48] [240/850] eta: 0:08:54 lr: 0.002399 loss: 0.0640 (0.0688) loss_rec_all: 0.1001 (0.1044) loss_rec_sfr: 0.1277 (0.1540) loss_cl: -0.3677 (-0.3669) time: 0.8670 data: 0.0003 max mem: 29859 [13:14:07.605943] Epoch: [48] [260/850] eta: 0:08:36 lr: 0.002399 loss: 0.0680 (0.0688) loss_rec_all: 0.1032 (0.1044) loss_rec_sfr: 0.1363 (0.1533) loss_cl: -0.3668 (-0.3669) time: 0.8589 data: 0.0002 max mem: 29859 [13:14:24.837749] Epoch: [48] [280/850] eta: 0:08:18 lr: 0.002399 loss: 0.0739 (0.0694) loss_rec_all: 0.1096 (0.1050) loss_rec_sfr: 0.1382 (0.1536) loss_cl: -0.3664 (-0.3668) time: 0.8615 data: 0.0002 max mem: 29859 [13:14:42.140782] Epoch: [48] [300/850] eta: 0:08:00 lr: 0.002399 loss: 0.0714 (0.0695) loss_rec_all: 0.1069 (0.1051) loss_rec_sfr: 0.1266 (0.1530) loss_cl: -0.3668 (-0.3668) time: 0.8651 data: 0.0003 max mem: 29859 [13:14:59.354193] Epoch: [48] [320/850] eta: 0:07:42 lr: 0.002399 loss: 0.0669 (0.0695) loss_rec_all: 0.1030 (0.1051) loss_rec_sfr: 0.1110 (0.1514) loss_cl: -0.3666 (-0.3668) time: 0.8606 data: 0.0002 max mem: 29859 [13:15:16.544582] Epoch: [48] [340/850] eta: 0:07:24 lr: 0.002399 loss: 0.0665 (0.0694) loss_rec_all: 0.1025 (0.1051) loss_rec_sfr: 0.1358 (0.1508) loss_cl: -0.3679 (-0.3669) time: 0.8595 data: 0.0002 max mem: 29859 [13:15:33.885068] Epoch: [48] [360/850] eta: 0:07:07 lr: 0.002399 loss: 0.0669 (0.0694) loss_rec_all: 0.1023 (0.1050) loss_rec_sfr: 0.1505 (0.1510) loss_cl: -0.3675 (-0.3669) time: 0.8670 data: 0.0002 max mem: 29859 [13:15:51.074450] Epoch: [48] [380/850] eta: 0:06:49 lr: 0.002399 loss: 0.0674 (0.0693) loss_rec_all: 0.1028 (0.1049) loss_rec_sfr: 0.1396 (0.1510) loss_cl: -0.3669 (-0.3669) time: 0.8594 data: 0.0002 max mem: 29859 [13:16:08.302625] Epoch: [48] [400/850] eta: 0:06:31 lr: 0.002399 loss: 0.0665 (0.0692) loss_rec_all: 0.1022 (0.1048) loss_rec_sfr: 0.1172 (0.1502) loss_cl: -0.3657 (-0.3669) time: 0.8614 data: 0.0002 max mem: 29859 [13:16:25.547329] Epoch: [48] [420/850] eta: 0:06:14 lr: 0.002399 loss: 0.0685 (0.0692) loss_rec_all: 0.1045 (0.1049) loss_rec_sfr: 0.1434 (0.1504) loss_cl: -0.3667 (-0.3669) time: 0.8621 data: 0.0002 max mem: 29859 [13:16:42.798960] Epoch: [48] [440/850] eta: 0:05:56 lr: 0.002399 loss: 0.0689 (0.0693) loss_rec_all: 0.1047 (0.1049) loss_rec_sfr: 0.1457 (0.1509) loss_cl: -0.3680 (-0.3669) time: 0.8625 data: 0.0002 max mem: 29859 [13:17:00.002739] Epoch: [48] [460/850] eta: 0:05:39 lr: 0.002399 loss: 0.0682 (0.0693) loss_rec_all: 0.1034 (0.1050) loss_rec_sfr: 0.1304 (0.1508) loss_cl: -0.3676 (-0.3669) time: 0.8601 data: 0.0002 max mem: 29859 [13:17:17.293662] Epoch: [48] [480/850] eta: 0:05:21 lr: 0.002399 loss: 0.0655 (0.0693) loss_rec_all: 0.1014 (0.1049) loss_rec_sfr: 0.1323 (0.1504) loss_cl: -0.3672 (-0.3669) time: 0.8644 data: 0.0003 max mem: 29859 [13:17:34.491656] Epoch: [48] [500/850] eta: 0:05:04 lr: 0.002399 loss: 0.0655 (0.0692) loss_rec_all: 0.1012 (0.1049) loss_rec_sfr: 0.1085 (0.1497) loss_cl: -0.3666 (-0.3669) time: 0.8598 data: 0.0002 max mem: 29859 [13:17:51.717466] Epoch: [48] [520/850] eta: 0:04:46 lr: 0.002399 loss: 0.0699 (0.0693) loss_rec_all: 0.1051 (0.1049) loss_rec_sfr: 0.1708 (0.1502) loss_cl: -0.3657 (-0.3669) time: 0.8612 data: 0.0002 max mem: 29859 [13:18:08.955145] Epoch: [48] [540/850] eta: 0:04:29 lr: 0.002399 loss: 0.0639 (0.0691) loss_rec_all: 0.0997 (0.1047) loss_rec_sfr: 0.1166 (0.1495) loss_cl: -0.3658 (-0.3668) time: 0.8618 data: 0.0003 max mem: 29859 [13:18:26.221698] Epoch: [48] [560/850] eta: 0:04:11 lr: 0.002399 loss: 0.0698 (0.0693) loss_rec_all: 0.1051 (0.1049) loss_rec_sfr: 0.1813 (0.1504) loss_cl: -0.3660 (-0.3668) time: 0.8633 data: 0.0002 max mem: 29859 [13:18:43.403661] Epoch: [48] [580/850] eta: 0:03:54 lr: 0.002399 loss: 0.0683 (0.0693) loss_rec_all: 0.1041 (0.1049) loss_rec_sfr: 0.1780 (0.1509) loss_cl: -0.3664 (-0.3668) time: 0.8591 data: 0.0002 max mem: 29859 [13:19:00.688644] Epoch: [48] [600/850] eta: 0:03:36 lr: 0.002399 loss: 0.0644 (0.0692) loss_rec_all: 0.1003 (0.1049) loss_rec_sfr: 0.1299 (0.1506) loss_cl: -0.3673 (-0.3668) time: 0.8642 data: 0.0002 max mem: 29859 [13:19:17.929506] Epoch: [48] [620/850] eta: 0:03:19 lr: 0.002399 loss: 0.0624 (0.0691) loss_rec_all: 0.0986 (0.1047) loss_rec_sfr: 0.1068 (0.1499) loss_cl: -0.3687 (-0.3669) time: 0.8620 data: 0.0002 max mem: 29859 [13:19:35.154792] Epoch: [48] [640/850] eta: 0:03:02 lr: 0.002399 loss: 0.0724 (0.0692) loss_rec_all: 0.1083 (0.1048) loss_rec_sfr: 0.1762 (0.1508) loss_cl: -0.3685 (-0.3669) time: 0.8612 data: 0.0002 max mem: 29859 [13:19:52.384993] Epoch: [48] [660/850] eta: 0:02:44 lr: 0.002399 loss: 0.0745 (0.0694) loss_rec_all: 0.1102 (0.1050) loss_rec_sfr: 0.1599 (0.1515) loss_cl: -0.3681 (-0.3669) time: 0.8614 data: 0.0002 max mem: 29859 [13:20:09.672244] Epoch: [48] [680/850] eta: 0:02:27 lr: 0.002399 loss: 0.0777 (0.0697) loss_rec_all: 0.1132 (0.1054) loss_rec_sfr: 0.1842 (0.1522) loss_cl: -0.3664 (-0.3669) time: 0.8643 data: 0.0002 max mem: 29859 [13:20:26.865172] Epoch: [48] [700/850] eta: 0:02:10 lr: 0.002399 loss: 0.0844 (0.0702) loss_rec_all: 0.1194 (0.1059) loss_rec_sfr: 0.1588 (0.1532) loss_cl: -0.3653 (-0.3669) time: 0.8596 data: 0.0002 max mem: 29859 [13:20:44.142255] Epoch: [48] [720/850] eta: 0:01:52 lr: 0.002399 loss: 0.0804 (0.0706) loss_rec_all: 0.1155 (0.1062) loss_rec_sfr: 0.1603 (0.1539) loss_cl: -0.3658 (-0.3668) time: 0.8638 data: 0.0002 max mem: 29859 [13:21:01.439167] Epoch: [48] [740/850] eta: 0:01:35 lr: 0.002399 loss: 0.0769 (0.0708) loss_rec_all: 0.1127 (0.1065) loss_rec_sfr: 0.1447 (0.1539) loss_cl: -0.3668 (-0.3668) time: 0.8648 data: 0.0003 max mem: 29859 [13:21:18.663343] Epoch: [48] [760/850] eta: 0:01:17 lr: 0.002399 loss: 0.0725 (0.0710) loss_rec_all: 0.1079 (0.1066) loss_rec_sfr: 0.1405 (0.1541) loss_cl: -0.3675 (-0.3669) time: 0.8612 data: 0.0002 max mem: 29859 [13:21:35.898845] Epoch: [48] [780/850] eta: 0:01:00 lr: 0.002399 loss: 0.0707 (0.0710) loss_rec_all: 0.1064 (0.1066) loss_rec_sfr: 0.1342 (0.1538) loss_cl: -0.3675 (-0.3669) time: 0.8617 data: 0.0002 max mem: 29859 [13:21:53.206997] Epoch: [48] [800/850] eta: 0:00:43 lr: 0.002399 loss: 0.0700 (0.0710) loss_rec_all: 0.1056 (0.1066) loss_rec_sfr: 0.1528 (0.1538) loss_cl: -0.3678 (-0.3669) time: 0.8654 data: 0.0003 max mem: 29859 [13:22:10.390800] Epoch: [48] [820/850] eta: 0:00:25 lr: 0.002399 loss: 0.0680 (0.0709) loss_rec_all: 0.1033 (0.1065) loss_rec_sfr: 0.1814 (0.1542) loss_cl: -0.3668 (-0.3669) time: 0.8591 data: 0.0002 max mem: 29859 [13:22:27.663181] Epoch: [48] [840/850] eta: 0:00:08 lr: 0.002399 loss: 0.0672 (0.0709) loss_rec_all: 0.1029 (0.1065) loss_rec_sfr: 0.1533 (0.1542) loss_cl: -0.3667 (-0.3669) time: 0.8636 data: 0.0005 max mem: 29859 [13:22:35.433242] Epoch: [48] [849/850] eta: 0:00:00 lr: 0.002399 loss: 0.0677 (0.0709) loss_rec_all: 0.1029 (0.1065) loss_rec_sfr: 0.1533 (0.1543) loss_cl: -0.3670 (-0.3669) time: 0.8648 data: 0.0005 max mem: 29859 [13:22:35.610752] Epoch: [48] Total time: 0:12:16 (0.8665 s / it) [13:22:35.615398] Averaged stats: lr: 0.002399 loss: 0.0677 (0.0709) loss_rec_all: 0.1029 (0.1065) loss_rec_sfr: 0.1533 (0.1565) loss_cl: -0.3670 (-0.3669) [13:22:35.632599] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [13:22:40.199539] Epoch: [49] [ 0/850] eta: 1:04:40 lr: 0.002399 loss: 0.0645 (0.0645) loss_rec_all: 0.1003 (0.1003) loss_rec_sfr: 0.1427 (0.1427) loss_cl: -0.3675 (-0.3675) time: 4.5657 data: 3.3472 max mem: 29859 [13:22:57.356127] Epoch: [49] [ 20/850] eta: 0:14:18 lr: 0.002399 loss: 0.0654 (0.0672) loss_rec_all: 0.1013 (0.1029) loss_rec_sfr: 0.1196 (0.1438) loss_cl: -0.3671 (-0.3670) time: 0.8578 data: 0.0002 max mem: 29859 [13:23:14.600227] Epoch: [49] [ 40/850] eta: 0:12:49 lr: 0.002399 loss: 0.0676 (0.0685) loss_rec_all: 0.1034 (0.1042) loss_rec_sfr: 0.1294 (0.1431) loss_cl: -0.3672 (-0.3671) time: 0.8622 data: 0.0002 max mem: 29859 [13:23:31.862052] Epoch: [49] [ 60/850] eta: 0:12:08 lr: 0.002399 loss: 0.0666 (0.0690) loss_rec_all: 0.1022 (0.1047) loss_rec_sfr: 0.1665 (0.1466) loss_cl: -0.3682 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [13:23:49.087764] Epoch: [49] [ 80/850] eta: 0:11:38 lr: 0.002399 loss: 0.0659 (0.0688) loss_rec_all: 0.1018 (0.1045) loss_rec_sfr: 0.1401 (0.1471) loss_cl: -0.3677 (-0.3675) time: 0.8612 data: 0.0002 max mem: 29859 [13:24:06.281963] Epoch: [49] [100/850] eta: 0:11:13 lr: 0.002399 loss: 0.0663 (0.0684) loss_rec_all: 0.1023 (0.1041) loss_rec_sfr: 0.1413 (0.1482) loss_cl: -0.3668 (-0.3673) time: 0.8597 data: 0.0002 max mem: 29859 [13:24:23.592173] Epoch: [49] [120/850] eta: 0:10:51 lr: 0.002399 loss: 0.0700 (0.0691) loss_rec_all: 0.1053 (0.1048) loss_rec_sfr: 0.1645 (0.1498) loss_cl: -0.3665 (-0.3672) time: 0.8655 data: 0.0003 max mem: 29859 [13:24:40.790030] Epoch: [49] [140/850] eta: 0:10:30 lr: 0.002399 loss: 0.0646 (0.0687) loss_rec_all: 0.0999 (0.1043) loss_rec_sfr: 0.1253 (0.1492) loss_cl: -0.3669 (-0.3671) time: 0.8598 data: 0.0002 max mem: 29859 [13:24:58.027904] Epoch: [49] [160/850] eta: 0:10:10 lr: 0.002399 loss: 0.0674 (0.0689) loss_rec_all: 0.1027 (0.1046) loss_rec_sfr: 0.1607 (0.1500) loss_cl: -0.3671 (-0.3671) time: 0.8618 data: 0.0002 max mem: 29859 [13:25:15.303595] Epoch: [49] [180/850] eta: 0:09:51 lr: 0.002399 loss: 0.0675 (0.0688) loss_rec_all: 0.1028 (0.1045) loss_rec_sfr: 0.1636 (0.1519) loss_cl: -0.3672 (-0.3671) time: 0.8637 data: 0.0002 max mem: 29859 [13:25:32.555581] Epoch: [49] [200/850] eta: 0:09:32 lr: 0.002399 loss: 0.0687 (0.0689) loss_rec_all: 0.1044 (0.1045) loss_rec_sfr: 0.1441 (0.1537) loss_cl: -0.3666 (-0.3671) time: 0.8626 data: 0.0002 max mem: 29859 [13:25:49.759215] Epoch: [49] [220/850] eta: 0:09:13 lr: 0.002399 loss: 0.0668 (0.0687) loss_rec_all: 0.1021 (0.1044) loss_rec_sfr: 0.1301 (0.1531) loss_cl: -0.3670 (-0.3670) time: 0.8601 data: 0.0002 max mem: 29859 [13:26:07.061325] Epoch: [49] [240/850] eta: 0:08:55 lr: 0.002399 loss: 0.0647 (0.0686) loss_rec_all: 0.1002 (0.1043) loss_rec_sfr: 0.1414 (0.1526) loss_cl: -0.3669 (-0.3670) time: 0.8651 data: 0.0002 max mem: 29859 [13:26:24.261361] Epoch: [49] [260/850] eta: 0:08:36 lr: 0.002399 loss: 0.0649 (0.0684) loss_rec_all: 0.1007 (0.1041) loss_rec_sfr: 0.1176 (0.1514) loss_cl: -0.3670 (-0.3670) time: 0.8600 data: 0.0002 max mem: 29859 [13:26:41.503743] Epoch: [49] [280/850] eta: 0:08:18 lr: 0.002399 loss: 0.0671 (0.0686) loss_rec_all: 0.1027 (0.1042) loss_rec_sfr: 0.1304 (0.1508) loss_cl: -0.3663 (-0.3670) time: 0.8621 data: 0.0002 max mem: 29859 [13:26:58.733995] Epoch: [49] [300/850] eta: 0:08:00 lr: 0.002399 loss: 0.0714 (0.0689) loss_rec_all: 0.1066 (0.1046) loss_rec_sfr: 0.1367 (0.1508) loss_cl: -0.3660 (-0.3669) time: 0.8614 data: 0.0002 max mem: 29859 [13:27:16.080188] Epoch: [49] [320/850] eta: 0:07:43 lr: 0.002399 loss: 0.0711 (0.0691) loss_rec_all: 0.1063 (0.1047) loss_rec_sfr: 0.1753 (0.1517) loss_cl: -0.3672 (-0.3669) time: 0.8673 data: 0.0002 max mem: 29859 [13:27:33.340546] Epoch: [49] [340/850] eta: 0:07:25 lr: 0.002399 loss: 0.0668 (0.0691) loss_rec_all: 0.1028 (0.1047) loss_rec_sfr: 0.1397 (0.1517) loss_cl: -0.3682 (-0.3670) time: 0.8630 data: 0.0002 max mem: 29859 [13:27:50.600413] Epoch: [49] [360/850] eta: 0:07:07 lr: 0.002399 loss: 0.0687 (0.0693) loss_rec_all: 0.1044 (0.1049) loss_rec_sfr: 0.1807 (0.1523) loss_cl: -0.3674 (-0.3670) time: 0.8629 data: 0.0002 max mem: 29859 [13:28:07.872754] Epoch: [49] [380/850] eta: 0:06:49 lr: 0.002399 loss: 0.0680 (0.0693) loss_rec_all: 0.1033 (0.1050) loss_rec_sfr: 0.1646 (0.1528) loss_cl: -0.3672 (-0.3670) time: 0.8635 data: 0.0004 max mem: 29859 [13:28:25.155317] Epoch: [49] [400/850] eta: 0:06:32 lr: 0.002399 loss: 0.0657 (0.0692) loss_rec_all: 0.1013 (0.1049) loss_rec_sfr: 0.1239 (0.1519) loss_cl: -0.3669 (-0.3670) time: 0.8641 data: 0.0002 max mem: 29859 [13:28:42.368918] Epoch: [49] [420/850] eta: 0:06:14 lr: 0.002399 loss: 0.0681 (0.0693) loss_rec_all: 0.1039 (0.1049) loss_rec_sfr: 0.1584 (0.1522) loss_cl: -0.3667 (-0.3670) time: 0.8606 data: 0.0002 max mem: 29859 [13:28:59.673551] Epoch: [49] [440/850] eta: 0:05:57 lr: 0.002399 loss: 0.0678 (0.0692) loss_rec_all: 0.1036 (0.1049) loss_rec_sfr: 0.1597 (0.1522) loss_cl: -0.3677 (-0.3670) time: 0.8652 data: 0.0003 max mem: 29859 [13:29:16.905648] Epoch: [49] [460/850] eta: 0:05:39 lr: 0.002399 loss: 0.0630 (0.0690) loss_rec_all: 0.0991 (0.1047) loss_rec_sfr: 0.1335 (0.1517) loss_cl: -0.3676 (-0.3670) time: 0.8615 data: 0.0002 max mem: 29859 [13:29:34.155362] Epoch: [49] [480/850] eta: 0:05:21 lr: 0.002399 loss: 0.0661 (0.0689) loss_rec_all: 0.1013 (0.1046) loss_rec_sfr: 0.1360 (0.1515) loss_cl: -0.3666 (-0.3670) time: 0.8624 data: 0.0002 max mem: 29859 [13:29:51.414240] Epoch: [49] [500/850] eta: 0:05:04 lr: 0.002399 loss: 0.0665 (0.0689) loss_rec_all: 0.1021 (0.1045) loss_rec_sfr: 0.1493 (0.1516) loss_cl: -0.3666 (-0.3670) time: 0.8629 data: 0.0002 max mem: 29859 [13:30:08.668578] Epoch: [49] [520/850] eta: 0:04:46 lr: 0.002399 loss: 0.0641 (0.0688) loss_rec_all: 0.1000 (0.1044) loss_rec_sfr: 0.1325 (0.1513) loss_cl: -0.3663 (-0.3670) time: 0.8627 data: 0.0002 max mem: 29859 [13:30:25.876069] Epoch: [49] [540/850] eta: 0:04:29 lr: 0.002399 loss: 0.0659 (0.0688) loss_rec_all: 0.1012 (0.1044) loss_rec_sfr: 0.1594 (0.1516) loss_cl: -0.3668 (-0.3670) time: 0.8603 data: 0.0002 max mem: 29859 [13:30:43.184280] Epoch: [49] [560/850] eta: 0:04:12 lr: 0.002399 loss: 0.0656 (0.0687) loss_rec_all: 0.1014 (0.1043) loss_rec_sfr: 0.1601 (0.1516) loss_cl: -0.3668 (-0.3670) time: 0.8654 data: 0.0003 max mem: 29859 [13:31:00.388236] Epoch: [49] [580/850] eta: 0:03:54 lr: 0.002399 loss: 0.0700 (0.0688) loss_rec_all: 0.1059 (0.1044) loss_rec_sfr: 0.1708 (0.1523) loss_cl: -0.3671 (-0.3670) time: 0.8602 data: 0.0002 max mem: 29859 [13:31:17.640065] Epoch: [49] [600/850] eta: 0:03:37 lr: 0.002399 loss: 0.0691 (0.0688) loss_rec_all: 0.1048 (0.1044) loss_rec_sfr: 0.1361 (0.1524) loss_cl: -0.3678 (-0.3670) time: 0.8625 data: 0.0002 max mem: 29859 [13:31:34.876386] Epoch: [49] [620/850] eta: 0:03:19 lr: 0.002399 loss: 0.0670 (0.0688) loss_rec_all: 0.1024 (0.1044) loss_rec_sfr: 0.1351 (0.1524) loss_cl: -0.3677 (-0.3670) time: 0.8618 data: 0.0002 max mem: 29859 [13:31:52.108444] Epoch: [49] [640/850] eta: 0:03:02 lr: 0.002399 loss: 0.0661 (0.0688) loss_rec_all: 0.1014 (0.1044) loss_rec_sfr: 0.1622 (0.1525) loss_cl: -0.3669 (-0.3670) time: 0.8616 data: 0.0002 max mem: 29859 [13:32:09.330500] Epoch: [49] [660/850] eta: 0:02:44 lr: 0.002399 loss: 0.0639 (0.0687) loss_rec_all: 0.0998 (0.1043) loss_rec_sfr: 0.1364 (0.1522) loss_cl: -0.3662 (-0.3670) time: 0.8610 data: 0.0003 max mem: 29859 [13:32:26.580654] Epoch: [49] [680/850] eta: 0:02:27 lr: 0.002399 loss: 0.0632 (0.0686) loss_rec_all: 0.0990 (0.1042) loss_rec_sfr: 0.1598 (0.1520) loss_cl: -0.3666 (-0.3670) time: 0.8625 data: 0.0002 max mem: 29859 [13:32:43.772675] Epoch: [49] [700/850] eta: 0:02:10 lr: 0.002399 loss: 0.0666 (0.0686) loss_rec_all: 0.1021 (0.1043) loss_rec_sfr: 0.1764 (0.1525) loss_cl: -0.3679 (-0.3670) time: 0.8596 data: 0.0002 max mem: 29859 [13:33:01.060884] Epoch: [49] [720/850] eta: 0:01:52 lr: 0.002399 loss: 0.0635 (0.0685) loss_rec_all: 0.0995 (0.1041) loss_rec_sfr: 0.1133 (0.1520) loss_cl: -0.3682 (-0.3670) time: 0.8644 data: 0.0002 max mem: 29859 [13:33:18.255006] Epoch: [49] [740/850] eta: 0:01:35 lr: 0.002399 loss: 0.0734 (0.0687) loss_rec_all: 0.1087 (0.1043) loss_rec_sfr: 0.1667 (0.1526) loss_cl: -0.3670 (-0.3670) time: 0.8597 data: 0.0002 max mem: 29859 [13:33:35.489028] Epoch: [49] [760/850] eta: 0:01:18 lr: 0.002399 loss: 0.0668 (0.0687) loss_rec_all: 0.1026 (0.1043) loss_rec_sfr: 0.1144 (0.1523) loss_cl: -0.3662 (-0.3670) time: 0.8616 data: 0.0002 max mem: 29859 [13:33:52.721307] Epoch: [49] [780/850] eta: 0:01:00 lr: 0.002399 loss: 0.0725 (0.0688) loss_rec_all: 0.1078 (0.1044) loss_rec_sfr: 0.1700 (0.1530) loss_cl: -0.3660 (-0.3670) time: 0.8616 data: 0.0002 max mem: 29859 [13:34:09.955563] Epoch: [49] [800/850] eta: 0:00:43 lr: 0.002399 loss: 0.0687 (0.0688) loss_rec_all: 0.1044 (0.1045) loss_rec_sfr: 0.1168 (0.1528) loss_cl: -0.3662 (-0.3670) time: 0.8617 data: 0.0002 max mem: 29859 [13:34:27.168290] Epoch: [49] [820/850] eta: 0:00:25 lr: 0.002399 loss: 0.0661 (0.0688) loss_rec_all: 0.1017 (0.1044) loss_rec_sfr: 0.1670 (0.1530) loss_cl: -0.3667 (-0.3670) time: 0.8606 data: 0.0002 max mem: 29859 [13:34:44.431031] Epoch: [49] [840/850] eta: 0:00:08 lr: 0.002399 loss: 0.0670 (0.0687) loss_rec_all: 0.1025 (0.1044) loss_rec_sfr: 0.1451 (0.1531) loss_cl: -0.3681 (-0.3670) time: 0.8631 data: 0.0010 max mem: 29859 [13:34:52.181701] Epoch: [49] [849/850] eta: 0:00:00 lr: 0.002399 loss: 0.0666 (0.0687) loss_rec_all: 0.1021 (0.1043) loss_rec_sfr: 0.1743 (0.1533) loss_cl: -0.3683 (-0.3670) time: 0.8625 data: 0.0010 max mem: 29859 [13:34:52.362136] Epoch: [49] Total time: 0:12:16 (0.8667 s / it) [13:34:52.370988] Averaged stats: lr: 0.002399 loss: 0.0666 (0.0686) loss_rec_all: 0.1021 (0.1043) loss_rec_sfr: 0.1743 (0.1528) loss_cl: -0.3683 (-0.3670) [13:34:52.384245] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [13:34:56.902291] Epoch: [50] [ 0/850] eta: 1:03:59 lr: 0.002399 loss: 0.0768 (0.0768) loss_rec_all: 0.1125 (0.1125) loss_rec_sfr: 0.1632 (0.1632) loss_cl: -0.3680 (-0.3680) time: 4.5172 data: 3.4538 max mem: 29859 [13:35:14.082022] Epoch: [50] [ 20/850] eta: 0:14:17 lr: 0.002399 loss: 0.0654 (0.0667) loss_rec_all: 0.1009 (0.1025) loss_rec_sfr: 0.1280 (0.1440) loss_cl: -0.3679 (-0.3677) time: 0.8589 data: 0.0002 max mem: 29859 [13:35:31.364251] Epoch: [50] [ 40/850] eta: 0:12:50 lr: 0.002399 loss: 0.0685 (0.0684) loss_rec_all: 0.1044 (0.1041) loss_rec_sfr: 0.1421 (0.1524) loss_cl: -0.3673 (-0.3675) time: 0.8641 data: 0.0002 max mem: 29859 [13:35:48.572003] Epoch: [50] [ 60/850] eta: 0:12:07 lr: 0.002399 loss: 0.0678 (0.0685) loss_rec_all: 0.1036 (0.1042) loss_rec_sfr: 0.1294 (0.1505) loss_cl: -0.3665 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [13:36:05.829213] Epoch: [50] [ 80/850] eta: 0:11:38 lr: 0.002399 loss: 0.0651 (0.0680) loss_rec_all: 0.1006 (0.1036) loss_rec_sfr: 0.1288 (0.1498) loss_cl: -0.3658 (-0.3668) time: 0.8628 data: 0.0003 max mem: 29859 [13:36:23.062277] Epoch: [50] [100/850] eta: 0:11:13 lr: 0.002399 loss: 0.0633 (0.0676) loss_rec_all: 0.0991 (0.1032) loss_rec_sfr: 0.1550 (0.1507) loss_cl: -0.3667 (-0.3668) time: 0.8616 data: 0.0002 max mem: 29859 [13:36:40.297102] Epoch: [50] [120/850] eta: 0:10:50 lr: 0.002399 loss: 0.0626 (0.0670) loss_rec_all: 0.0982 (0.1027) loss_rec_sfr: 0.1358 (0.1503) loss_cl: -0.3673 (-0.3669) time: 0.8617 data: 0.0002 max mem: 29859 [13:36:57.529123] Epoch: [50] [140/850] eta: 0:10:30 lr: 0.002399 loss: 0.0602 (0.0665) loss_rec_all: 0.0960 (0.1021) loss_rec_sfr: 0.1259 (0.1486) loss_cl: -0.3670 (-0.3669) time: 0.8615 data: 0.0002 max mem: 29859 [13:37:14.788952] Epoch: [50] [160/850] eta: 0:10:10 lr: 0.002399 loss: 0.0809 (0.0687) loss_rec_all: 0.1166 (0.1043) loss_rec_sfr: 0.1687 (0.1516) loss_cl: -0.3665 (-0.3669) time: 0.8629 data: 0.0002 max mem: 29859 [13:37:31.975182] Epoch: [50] [180/850] eta: 0:09:50 lr: 0.002399 loss: 0.0733 (0.0695) loss_rec_all: 0.1090 (0.1051) loss_rec_sfr: 0.1674 (0.1532) loss_cl: -0.3668 (-0.3669) time: 0.8593 data: 0.0002 max mem: 29859 [13:37:49.279218] Epoch: [50] [200/850] eta: 0:09:32 lr: 0.002399 loss: 0.0697 (0.0697) loss_rec_all: 0.1055 (0.1053) loss_rec_sfr: 0.1420 (0.1534) loss_cl: -0.3667 (-0.3668) time: 0.8652 data: 0.0002 max mem: 29859 [13:38:06.484964] Epoch: [50] [220/850] eta: 0:09:13 lr: 0.002399 loss: 0.0702 (0.0699) loss_rec_all: 0.1060 (0.1055) loss_rec_sfr: 0.1393 (0.1525) loss_cl: -0.3671 (-0.3669) time: 0.8602 data: 0.0002 max mem: 29859 [13:38:23.745317] Epoch: [50] [240/850] eta: 0:08:54 lr: 0.002399 loss: 0.0681 (0.0698) loss_rec_all: 0.1039 (0.1054) loss_rec_sfr: 0.1620 (0.1525) loss_cl: -0.3674 (-0.3669) time: 0.8630 data: 0.0002 max mem: 29859 [13:38:40.967716] Epoch: [50] [260/850] eta: 0:08:36 lr: 0.002399 loss: 0.0654 (0.0696) loss_rec_all: 0.1009 (0.1052) loss_rec_sfr: 0.1432 (0.1523) loss_cl: -0.3675 (-0.3669) time: 0.8611 data: 0.0002 max mem: 29859 [13:38:58.203825] Epoch: [50] [280/850] eta: 0:08:18 lr: 0.002399 loss: 0.0672 (0.0695) loss_rec_all: 0.1032 (0.1052) loss_rec_sfr: 0.1441 (0.1526) loss_cl: -0.3673 (-0.3670) time: 0.8618 data: 0.0002 max mem: 29859 [13:39:15.434999] Epoch: [50] [300/850] eta: 0:08:00 lr: 0.002399 loss: 0.0733 (0.0699) loss_rec_all: 0.1083 (0.1055) loss_rec_sfr: 0.1482 (0.1543) loss_cl: -0.3673 (-0.3670) time: 0.8615 data: 0.0002 max mem: 29859 [13:39:32.722823] Epoch: [50] [320/850] eta: 0:07:42 lr: 0.002399 loss: 0.0662 (0.0697) loss_rec_all: 0.1022 (0.1054) loss_rec_sfr: 0.1275 (0.1531) loss_cl: -0.3672 (-0.3670) time: 0.8643 data: 0.0003 max mem: 29859 [13:39:49.923435] Epoch: [50] [340/850] eta: 0:07:24 lr: 0.002399 loss: 0.0648 (0.0695) loss_rec_all: 0.1007 (0.1051) loss_rec_sfr: 0.1446 (0.1529) loss_cl: -0.3668 (-0.3670) time: 0.8600 data: 0.0002 max mem: 29859 [13:40:07.249839] Epoch: [50] [360/850] eta: 0:07:07 lr: 0.002399 loss: 0.0648 (0.0693) loss_rec_all: 0.1002 (0.1050) loss_rec_sfr: 0.1551 (0.1529) loss_cl: -0.3663 (-0.3670) time: 0.8663 data: 0.0002 max mem: 29859 [13:40:24.469289] Epoch: [50] [380/850] eta: 0:06:49 lr: 0.002399 loss: 0.0627 (0.0690) loss_rec_all: 0.0986 (0.1046) loss_rec_sfr: 0.1073 (0.1521) loss_cl: -0.3663 (-0.3669) time: 0.8609 data: 0.0002 max mem: 29859 [13:40:41.713424] Epoch: [50] [400/850] eta: 0:06:31 lr: 0.002399 loss: 0.0638 (0.0689) loss_rec_all: 0.0992 (0.1045) loss_rec_sfr: 0.1577 (0.1524) loss_cl: -0.3672 (-0.3669) time: 0.8622 data: 0.0002 max mem: 29859 [13:40:58.945896] Epoch: [50] [420/850] eta: 0:06:14 lr: 0.002399 loss: 0.0650 (0.0687) loss_rec_all: 0.1005 (0.1043) loss_rec_sfr: 0.1561 (0.1522) loss_cl: -0.3671 (-0.3669) time: 0.8616 data: 0.0002 max mem: 29859 [13:41:16.185797] Epoch: [50] [440/850] eta: 0:05:56 lr: 0.002399 loss: 0.0628 (0.0685) loss_rec_all: 0.0981 (0.1042) loss_rec_sfr: 0.1541 (0.1521) loss_cl: -0.3666 (-0.3669) time: 0.8620 data: 0.0002 max mem: 29859 [13:41:33.414970] Epoch: [50] [460/850] eta: 0:05:39 lr: 0.002399 loss: 0.0627 (0.0684) loss_rec_all: 0.0984 (0.1040) loss_rec_sfr: 0.1654 (0.1523) loss_cl: -0.3672 (-0.3669) time: 0.8614 data: 0.0002 max mem: 29859 [13:41:50.697325] Epoch: [50] [480/850] eta: 0:05:21 lr: 0.002399 loss: 0.0671 (0.0683) loss_rec_all: 0.1031 (0.1040) loss_rec_sfr: 0.1669 (0.1527) loss_cl: -0.3676 (-0.3669) time: 0.8640 data: 0.0003 max mem: 29859 [13:42:07.885194] Epoch: [50] [500/850] eta: 0:05:04 lr: 0.002399 loss: 0.0686 (0.0684) loss_rec_all: 0.1044 (0.1041) loss_rec_sfr: 0.1630 (0.1530) loss_cl: -0.3673 (-0.3670) time: 0.8593 data: 0.0002 max mem: 29859 [13:42:25.185621] Epoch: [50] [520/850] eta: 0:04:46 lr: 0.002399 loss: 0.0665 (0.0684) loss_rec_all: 0.1021 (0.1040) loss_rec_sfr: 0.1497 (0.1527) loss_cl: -0.3669 (-0.3669) time: 0.8650 data: 0.0003 max mem: 29859 [13:42:42.376699] Epoch: [50] [540/850] eta: 0:04:29 lr: 0.002399 loss: 0.0670 (0.0683) loss_rec_all: 0.1023 (0.1040) loss_rec_sfr: 0.1290 (0.1525) loss_cl: -0.3668 (-0.3669) time: 0.8595 data: 0.0002 max mem: 29859 [13:42:59.621397] Epoch: [50] [560/850] eta: 0:04:11 lr: 0.002399 loss: 0.0635 (0.0682) loss_rec_all: 0.0989 (0.1038) loss_rec_sfr: 0.1579 (0.1525) loss_cl: -0.3670 (-0.3669) time: 0.8622 data: 0.0002 max mem: 29859 [13:43:16.876263] Epoch: [50] [580/850] eta: 0:03:54 lr: 0.002399 loss: 0.0635 (0.0681) loss_rec_all: 0.0989 (0.1037) loss_rec_sfr: 0.1333 (0.1521) loss_cl: -0.3662 (-0.3669) time: 0.8627 data: 0.0002 max mem: 29859 [13:43:34.129522] Epoch: [50] [600/850] eta: 0:03:37 lr: 0.002399 loss: 0.0621 (0.0680) loss_rec_all: 0.0979 (0.1036) loss_rec_sfr: 0.1258 (0.1519) loss_cl: -0.3664 (-0.3669) time: 0.8626 data: 0.0002 max mem: 29859 [13:43:51.373581] Epoch: [50] [620/850] eta: 0:03:19 lr: 0.002399 loss: 0.0650 (0.0679) loss_rec_all: 0.1004 (0.1035) loss_rec_sfr: 0.1557 (0.1520) loss_cl: -0.3666 (-0.3669) time: 0.8622 data: 0.0002 max mem: 29859 [13:44:08.613089] Epoch: [50] [640/850] eta: 0:03:02 lr: 0.002399 loss: 0.0700 (0.0680) loss_rec_all: 0.1051 (0.1036) loss_rec_sfr: 0.1602 (0.1520) loss_cl: -0.3675 (-0.3669) time: 0.8619 data: 0.0002 max mem: 29859 [13:44:25.823221] Epoch: [50] [660/850] eta: 0:02:44 lr: 0.002399 loss: 0.0622 (0.0679) loss_rec_all: 0.0982 (0.1035) loss_rec_sfr: 0.1098 (0.1515) loss_cl: -0.3676 (-0.3669) time: 0.8604 data: 0.0002 max mem: 29859 [13:44:43.102160] Epoch: [50] [680/850] eta: 0:02:27 lr: 0.002399 loss: 0.0633 (0.0678) loss_rec_all: 0.0991 (0.1035) loss_rec_sfr: 0.1139 (0.1509) loss_cl: -0.3676 (-0.3670) time: 0.8639 data: 0.0002 max mem: 29859 [13:45:00.304396] Epoch: [50] [700/850] eta: 0:02:10 lr: 0.002399 loss: 0.0697 (0.0679) loss_rec_all: 0.1050 (0.1036) loss_rec_sfr: 0.1645 (0.1510) loss_cl: -0.3679 (-0.3670) time: 0.8601 data: 0.0002 max mem: 29859 [13:45:17.556344] Epoch: [50] [720/850] eta: 0:01:52 lr: 0.002399 loss: 0.0702 (0.0681) loss_rec_all: 0.1060 (0.1038) loss_rec_sfr: 0.1354 (0.1510) loss_cl: -0.3671 (-0.3670) time: 0.8626 data: 0.0002 max mem: 29859 [13:45:34.775244] Epoch: [50] [740/850] eta: 0:01:35 lr: 0.002399 loss: 0.0705 (0.0682) loss_rec_all: 0.1065 (0.1039) loss_rec_sfr: 0.1645 (0.1513) loss_cl: -0.3666 (-0.3670) time: 0.8609 data: 0.0002 max mem: 29859 [13:45:52.046958] Epoch: [50] [760/850] eta: 0:01:18 lr: 0.002399 loss: 0.0670 (0.0682) loss_rec_all: 0.1021 (0.1039) loss_rec_sfr: 0.1355 (0.1510) loss_cl: -0.3653 (-0.3669) time: 0.8635 data: 0.0002 max mem: 29859 [13:46:09.264865] Epoch: [50] [780/850] eta: 0:01:00 lr: 0.002399 loss: 0.0645 (0.0682) loss_rec_all: 0.1004 (0.1038) loss_rec_sfr: 0.1366 (0.1509) loss_cl: -0.3678 (-0.3670) time: 0.8608 data: 0.0002 max mem: 29859 [13:46:26.506477] Epoch: [50] [800/850] eta: 0:00:43 lr: 0.002399 loss: 0.0650 (0.0681) loss_rec_all: 0.1001 (0.1038) loss_rec_sfr: 0.1603 (0.1510) loss_cl: -0.3656 (-0.3669) time: 0.8620 data: 0.0002 max mem: 29859 [13:46:43.740076] Epoch: [50] [820/850] eta: 0:00:25 lr: 0.002399 loss: 0.0619 (0.0680) loss_rec_all: 0.0972 (0.1036) loss_rec_sfr: 0.1657 (0.1511) loss_cl: -0.3665 (-0.3669) time: 0.8616 data: 0.0002 max mem: 29859 [13:47:00.974988] Epoch: [50] [840/850] eta: 0:00:08 lr: 0.002399 loss: 0.0621 (0.0679) loss_rec_all: 0.0982 (0.1036) loss_rec_sfr: 0.1160 (0.1507) loss_cl: -0.3673 (-0.3669) time: 0.8617 data: 0.0005 max mem: 29859 [13:47:08.702561] Epoch: [50] [849/850] eta: 0:00:00 lr: 0.002399 loss: 0.0639 (0.0679) loss_rec_all: 0.0993 (0.1036) loss_rec_sfr: 0.1624 (0.1508) loss_cl: -0.3673 (-0.3669) time: 0.8606 data: 0.0004 max mem: 29859 [13:47:08.854174] Epoch: [50] Total time: 0:12:16 (0.8664 s / it) [13:47:08.860044] Averaged stats: lr: 0.002399 loss: 0.0639 (0.0677) loss_rec_all: 0.0993 (0.1033) loss_rec_sfr: 0.1624 (0.1509) loss_cl: -0.3673 (-0.3669) [13:47:13.410348] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [13:47:17.470319] Epoch: [51] [ 0/850] eta: 0:57:30 lr: 0.002399 loss: 0.0611 (0.0611) loss_rec_all: 0.0971 (0.0971) loss_rec_sfr: 0.1071 (0.1071) loss_cl: -0.3673 (-0.3673) time: 4.0590 data: 3.2055 max mem: 29859 [13:47:34.604710] Epoch: [51] [ 20/850] eta: 0:13:57 lr: 0.002399 loss: 0.0619 (0.0647) loss_rec_all: 0.0978 (0.1005) loss_rec_sfr: 0.1197 (0.1329) loss_cl: -0.3667 (-0.3668) time: 0.8566 data: 0.0002 max mem: 29859 [13:47:51.800956] Epoch: [51] [ 40/850] eta: 0:12:38 lr: 0.002399 loss: 0.0633 (0.0642) loss_rec_all: 0.0992 (0.1000) loss_rec_sfr: 0.1223 (0.1347) loss_cl: -0.3669 (-0.3669) time: 0.8597 data: 0.0002 max mem: 29859 [13:48:08.993378] Epoch: [51] [ 60/850] eta: 0:11:59 lr: 0.002399 loss: 0.0688 (0.0668) loss_rec_all: 0.1041 (0.1024) loss_rec_sfr: 0.1645 (0.1449) loss_cl: -0.3669 (-0.3668) time: 0.8596 data: 0.0002 max mem: 29859 [13:48:26.216064] Epoch: [51] [ 80/850] eta: 0:11:32 lr: 0.002399 loss: 0.0649 (0.0667) loss_rec_all: 0.1003 (0.1023) loss_rec_sfr: 0.1367 (0.1474) loss_cl: -0.3669 (-0.3668) time: 0.8611 data: 0.0002 max mem: 29859 [13:48:43.442130] Epoch: [51] [100/850] eta: 0:11:08 lr: 0.002399 loss: 0.0668 (0.0669) loss_rec_all: 0.1020 (0.1025) loss_rec_sfr: 0.1632 (0.1506) loss_cl: -0.3668 (-0.3668) time: 0.8613 data: 0.0002 max mem: 29859 [13:49:00.716893] Epoch: [51] [120/850] eta: 0:10:47 lr: 0.002399 loss: 0.0632 (0.0667) loss_rec_all: 0.0991 (0.1023) loss_rec_sfr: 0.1549 (0.1508) loss_cl: -0.3667 (-0.3668) time: 0.8637 data: 0.0002 max mem: 29859 [13:49:17.947213] Epoch: [51] [140/850] eta: 0:10:27 lr: 0.002399 loss: 0.0633 (0.0664) loss_rec_all: 0.0987 (0.1020) loss_rec_sfr: 0.1243 (0.1487) loss_cl: -0.3667 (-0.3668) time: 0.8615 data: 0.0002 max mem: 29859 [13:49:35.195898] Epoch: [51] [160/850] eta: 0:10:07 lr: 0.002399 loss: 0.0636 (0.0662) loss_rec_all: 0.0995 (0.1019) loss_rec_sfr: 0.1287 (0.1476) loss_cl: -0.3671 (-0.3668) time: 0.8624 data: 0.0002 max mem: 29859 [13:49:52.416042] Epoch: [51] [180/850] eta: 0:09:48 lr: 0.002399 loss: 0.0641 (0.0661) loss_rec_all: 0.0994 (0.1017) loss_rec_sfr: 0.1321 (0.1475) loss_cl: -0.3672 (-0.3669) time: 0.8610 data: 0.0002 max mem: 29859 [13:50:09.675681] Epoch: [51] [200/850] eta: 0:09:29 lr: 0.002399 loss: 0.0662 (0.0663) loss_rec_all: 0.1019 (0.1020) loss_rec_sfr: 0.1306 (0.1474) loss_cl: -0.3669 (-0.3669) time: 0.8629 data: 0.0002 max mem: 29859 [13:50:26.887932] Epoch: [51] [220/850] eta: 0:09:11 lr: 0.002399 loss: 0.0678 (0.0665) loss_rec_all: 0.1033 (0.1022) loss_rec_sfr: 0.1646 (0.1482) loss_cl: -0.3669 (-0.3669) time: 0.8606 data: 0.0002 max mem: 29859 [13:50:44.152692] Epoch: [51] [240/850] eta: 0:08:53 lr: 0.002399 loss: 0.0640 (0.0664) loss_rec_all: 0.0996 (0.1021) loss_rec_sfr: 0.1349 (0.1483) loss_cl: -0.3666 (-0.3669) time: 0.8632 data: 0.0002 max mem: 29859 [13:51:01.398630] Epoch: [51] [260/850] eta: 0:08:35 lr: 0.002399 loss: 0.0645 (0.0665) loss_rec_all: 0.1003 (0.1022) loss_rec_sfr: 0.1367 (0.1475) loss_cl: -0.3666 (-0.3668) time: 0.8622 data: 0.0002 max mem: 29859 [13:51:18.656399] Epoch: [51] [280/850] eta: 0:08:17 lr: 0.002399 loss: 0.0627 (0.0663) loss_rec_all: 0.0986 (0.1020) loss_rec_sfr: 0.1278 (0.1469) loss_cl: -0.3669 (-0.3668) time: 0.8628 data: 0.0002 max mem: 29859 [13:51:35.864531] Epoch: [51] [300/850] eta: 0:07:59 lr: 0.002399 loss: 0.0612 (0.0662) loss_rec_all: 0.0968 (0.1018) loss_rec_sfr: 0.1221 (0.1465) loss_cl: -0.3671 (-0.3669) time: 0.8603 data: 0.0002 max mem: 29859 [13:51:53.122107] Epoch: [51] [320/850] eta: 0:07:41 lr: 0.002399 loss: 0.0609 (0.0660) loss_rec_all: 0.0969 (0.1017) loss_rec_sfr: 0.1574 (0.1467) loss_cl: -0.3675 (-0.3669) time: 0.8628 data: 0.0002 max mem: 29859 [13:52:10.323197] Epoch: [51] [340/850] eta: 0:07:24 lr: 0.002399 loss: 0.0654 (0.0662) loss_rec_all: 0.1009 (0.1018) loss_rec_sfr: 0.1649 (0.1472) loss_cl: -0.3672 (-0.3669) time: 0.8600 data: 0.0002 max mem: 29859 [13:52:27.595618] Epoch: [51] [360/850] eta: 0:07:06 lr: 0.002399 loss: 0.0660 (0.0662) loss_rec_all: 0.1019 (0.1018) loss_rec_sfr: 0.1227 (0.1470) loss_cl: -0.3670 (-0.3669) time: 0.8636 data: 0.0002 max mem: 29859 [13:52:44.795225] Epoch: [51] [380/850] eta: 0:06:48 lr: 0.002399 loss: 0.0636 (0.0662) loss_rec_all: 0.0990 (0.1019) loss_rec_sfr: 0.1549 (0.1470) loss_cl: -0.3672 (-0.3669) time: 0.8599 data: 0.0002 max mem: 29859 [13:53:02.034853] Epoch: [51] [400/850] eta: 0:06:31 lr: 0.002399 loss: 0.0628 (0.0661) loss_rec_all: 0.0985 (0.1017) loss_rec_sfr: 0.1254 (0.1468) loss_cl: -0.3670 (-0.3669) time: 0.8619 data: 0.0002 max mem: 29859 [13:53:19.266330] Epoch: [51] [420/850] eta: 0:06:13 lr: 0.002399 loss: 0.0616 (0.0659) loss_rec_all: 0.0973 (0.1016) loss_rec_sfr: 0.1210 (0.1462) loss_cl: -0.3672 (-0.3669) time: 0.8615 data: 0.0002 max mem: 29859 [13:53:36.497285] Epoch: [51] [440/850] eta: 0:05:56 lr: 0.002399 loss: 0.0624 (0.0658) loss_rec_all: 0.0978 (0.1015) loss_rec_sfr: 0.1575 (0.1467) loss_cl: -0.3666 (-0.3669) time: 0.8615 data: 0.0002 max mem: 29859 [13:53:53.718411] Epoch: [51] [460/850] eta: 0:05:38 lr: 0.002399 loss: 0.0640 (0.0658) loss_rec_all: 0.0992 (0.1015) loss_rec_sfr: 0.1532 (0.1467) loss_cl: -0.3663 (-0.3669) time: 0.8610 data: 0.0002 max mem: 29859 [13:54:10.991802] Epoch: [51] [480/850] eta: 0:05:21 lr: 0.002399 loss: 0.0650 (0.0658) loss_rec_all: 0.1008 (0.1015) loss_rec_sfr: 0.1334 (0.1467) loss_cl: -0.3668 (-0.3669) time: 0.8636 data: 0.0003 max mem: 29859 [13:54:28.196230] Epoch: [51] [500/850] eta: 0:05:03 lr: 0.002399 loss: 0.0650 (0.0658) loss_rec_all: 0.1009 (0.1015) loss_rec_sfr: 0.1625 (0.1471) loss_cl: -0.3672 (-0.3669) time: 0.8602 data: 0.0002 max mem: 29859 [13:54:45.446649] Epoch: [51] [520/850] eta: 0:04:46 lr: 0.002399 loss: 0.0657 (0.0658) loss_rec_all: 0.1009 (0.1015) loss_rec_sfr: 0.1342 (0.1474) loss_cl: -0.3665 (-0.3669) time: 0.8625 data: 0.0002 max mem: 29859 [13:55:02.668420] Epoch: [51] [540/850] eta: 0:04:28 lr: 0.002399 loss: 0.0647 (0.0658) loss_rec_all: 0.1004 (0.1015) loss_rec_sfr: 0.1362 (0.1475) loss_cl: -0.3667 (-0.3669) time: 0.8610 data: 0.0002 max mem: 29859 [13:55:19.926951] Epoch: [51] [560/850] eta: 0:04:11 lr: 0.002399 loss: 0.0614 (0.0657) loss_rec_all: 0.0970 (0.1013) loss_rec_sfr: 0.1078 (0.1467) loss_cl: -0.3673 (-0.3669) time: 0.8629 data: 0.0003 max mem: 29859 [13:55:37.132959] Epoch: [51] [580/850] eta: 0:03:54 lr: 0.002399 loss: 0.0630 (0.0656) loss_rec_all: 0.0984 (0.1013) loss_rec_sfr: 0.1165 (0.1463) loss_cl: -0.3671 (-0.3669) time: 0.8603 data: 0.0002 max mem: 29859 [13:55:54.409659] Epoch: [51] [600/850] eta: 0:03:36 lr: 0.002399 loss: 0.0624 (0.0655) loss_rec_all: 0.0981 (0.1012) loss_rec_sfr: 0.1236 (0.1464) loss_cl: -0.3674 (-0.3669) time: 0.8638 data: 0.0002 max mem: 29859 [13:56:11.618655] Epoch: [51] [620/850] eta: 0:03:19 lr: 0.002399 loss: 0.0630 (0.0655) loss_rec_all: 0.0991 (0.1011) loss_rec_sfr: 0.1226 (0.1462) loss_cl: -0.3677 (-0.3669) time: 0.8604 data: 0.0002 max mem: 29859 [13:56:28.877348] Epoch: [51] [640/850] eta: 0:03:01 lr: 0.002399 loss: 0.0588 (0.0653) loss_rec_all: 0.0947 (0.1010) loss_rec_sfr: 0.1294 (0.1459) loss_cl: -0.3678 (-0.3670) time: 0.8629 data: 0.0002 max mem: 29859 [13:56:46.071136] Epoch: [51] [660/850] eta: 0:02:44 lr: 0.002399 loss: 0.0597 (0.0652) loss_rec_all: 0.0958 (0.1009) loss_rec_sfr: 0.1241 (0.1455) loss_cl: -0.3673 (-0.3670) time: 0.8596 data: 0.0002 max mem: 29859 [13:57:03.309823] Epoch: [51] [680/850] eta: 0:02:27 lr: 0.002399 loss: 0.0656 (0.0653) loss_rec_all: 0.1009 (0.1010) loss_rec_sfr: 0.1612 (0.1458) loss_cl: -0.3657 (-0.3669) time: 0.8619 data: 0.0002 max mem: 29859 [13:57:20.496849] Epoch: [51] [700/850] eta: 0:02:09 lr: 0.002399 loss: 0.0661 (0.0654) loss_rec_all: 0.1013 (0.1011) loss_rec_sfr: 0.1285 (0.1459) loss_cl: -0.3660 (-0.3669) time: 0.8593 data: 0.0002 max mem: 29859 [13:57:37.735815] Epoch: [51] [720/850] eta: 0:01:52 lr: 0.002399 loss: 0.0619 (0.0654) loss_rec_all: 0.0973 (0.1010) loss_rec_sfr: 0.1331 (0.1458) loss_cl: -0.3672 (-0.3669) time: 0.8619 data: 0.0002 max mem: 29859 [13:57:54.993393] Epoch: [51] [740/850] eta: 0:01:35 lr: 0.002399 loss: 0.0628 (0.0653) loss_rec_all: 0.0983 (0.1010) loss_rec_sfr: 0.1567 (0.1460) loss_cl: -0.3681 (-0.3669) time: 0.8610 data: 0.0003 max mem: 29859 [13:58:12.233033] Epoch: [51] [760/850] eta: 0:01:17 lr: 0.002399 loss: 0.0623 (0.0654) loss_rec_all: 0.0983 (0.1010) loss_rec_sfr: 0.1639 (0.1461) loss_cl: -0.3675 (-0.3669) time: 0.8619 data: 0.0002 max mem: 29859 [13:58:29.447862] Epoch: [51] [780/850] eta: 0:01:00 lr: 0.002399 loss: 0.0748 (0.0657) loss_rec_all: 0.1101 (0.1014) loss_rec_sfr: 0.1900 (0.1469) loss_cl: -0.3673 (-0.3670) time: 0.8607 data: 0.0002 max mem: 29859 [13:58:46.698857] Epoch: [51] [800/850] eta: 0:00:43 lr: 0.002399 loss: 0.0669 (0.0658) loss_rec_all: 0.1025 (0.1014) loss_rec_sfr: 0.1348 (0.1470) loss_cl: -0.3665 (-0.3669) time: 0.8625 data: 0.0002 max mem: 29859 [13:59:03.899878] Epoch: [51] [820/850] eta: 0:00:25 lr: 0.002399 loss: 0.0652 (0.0658) loss_rec_all: 0.1008 (0.1015) loss_rec_sfr: 0.1283 (0.1471) loss_cl: -0.3661 (-0.3669) time: 0.8600 data: 0.0003 max mem: 29859 [13:59:21.144037] Epoch: [51] [840/850] eta: 0:00:08 lr: 0.002399 loss: 0.0658 (0.0659) loss_rec_all: 0.1014 (0.1015) loss_rec_sfr: 0.1756 (0.1475) loss_cl: -0.3663 (-0.3669) time: 0.8621 data: 0.0005 max mem: 29859 [13:59:28.879611] Epoch: [51] [849/850] eta: 0:00:00 lr: 0.002399 loss: 0.0635 (0.0659) loss_rec_all: 0.0994 (0.1015) loss_rec_sfr: 0.1608 (0.1474) loss_cl: -0.3663 (-0.3669) time: 0.8616 data: 0.0005 max mem: 29859 [13:59:29.073155] Epoch: [51] Total time: 0:12:15 (0.8655 s / it) [13:59:29.076892] Averaged stats: lr: 0.002399 loss: 0.0635 (0.0659) loss_rec_all: 0.0994 (0.1015) loss_rec_sfr: 0.1608 (0.1480) loss_cl: -0.3663 (-0.3669) [13:59:29.089789] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [13:59:33.968284] Epoch: [52] [ 0/850] eta: 1:09:06 lr: 0.002399 loss: 0.0649 (0.0649) loss_rec_all: 0.1008 (0.1008) loss_rec_sfr: 0.1073 (0.1073) loss_cl: -0.3665 (-0.3665) time: 4.8777 data: 4.0228 max mem: 29859 [13:59:51.137231] Epoch: [52] [ 20/850] eta: 0:14:31 lr: 0.002399 loss: 0.0634 (0.0643) loss_rec_all: 0.0991 (0.1000) loss_rec_sfr: 0.1499 (0.1414) loss_cl: -0.3671 (-0.3670) time: 0.8584 data: 0.0002 max mem: 29859 [14:00:08.353224] Epoch: [52] [ 40/850] eta: 0:12:55 lr: 0.002399 loss: 0.0600 (0.0635) loss_rec_all: 0.0961 (0.0993) loss_rec_sfr: 0.1217 (0.1380) loss_cl: -0.3678 (-0.3674) time: 0.8608 data: 0.0002 max mem: 29859 [14:00:25.531085] Epoch: [52] [ 60/850] eta: 0:12:10 lr: 0.002399 loss: 0.0621 (0.0637) loss_rec_all: 0.0976 (0.0995) loss_rec_sfr: 0.1334 (0.1384) loss_cl: -0.3677 (-0.3674) time: 0.8588 data: 0.0002 max mem: 29859 [14:00:42.760202] Epoch: [52] [ 80/850] eta: 0:11:40 lr: 0.002399 loss: 0.0590 (0.0633) loss_rec_all: 0.0948 (0.0990) loss_rec_sfr: 0.1229 (0.1371) loss_cl: -0.3678 (-0.3675) time: 0.8614 data: 0.0002 max mem: 29859 [14:00:59.933662] Epoch: [52] [100/850] eta: 0:11:14 lr: 0.002398 loss: 0.0591 (0.0627) loss_rec_all: 0.0947 (0.0984) loss_rec_sfr: 0.1297 (0.1377) loss_cl: -0.3674 (-0.3675) time: 0.8586 data: 0.0002 max mem: 29859 [14:01:17.169658] Epoch: [52] [120/850] eta: 0:10:52 lr: 0.002398 loss: 0.0612 (0.0627) loss_rec_all: 0.0971 (0.0984) loss_rec_sfr: 0.1488 (0.1398) loss_cl: -0.3669 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [14:01:34.363334] Epoch: [52] [140/850] eta: 0:10:30 lr: 0.002398 loss: 0.0610 (0.0626) loss_rec_all: 0.0969 (0.0984) loss_rec_sfr: 0.1174 (0.1390) loss_cl: -0.3664 (-0.3672) time: 0.8596 data: 0.0002 max mem: 29859 [14:01:51.608552] Epoch: [52] [160/850] eta: 0:10:10 lr: 0.002398 loss: 0.0645 (0.0630) loss_rec_all: 0.0999 (0.0988) loss_rec_sfr: 0.1160 (0.1378) loss_cl: -0.3664 (-0.3671) time: 0.8622 data: 0.0002 max mem: 29859 [14:02:08.815573] Epoch: [52] [180/850] eta: 0:09:51 lr: 0.002398 loss: 0.0604 (0.0630) loss_rec_all: 0.0962 (0.0987) loss_rec_sfr: 0.1533 (0.1392) loss_cl: -0.3662 (-0.3670) time: 0.8603 data: 0.0002 max mem: 29859 [14:02:26.060679] Epoch: [52] [200/850] eta: 0:09:32 lr: 0.002398 loss: 0.0599 (0.0630) loss_rec_all: 0.0954 (0.0987) loss_rec_sfr: 0.1315 (0.1393) loss_cl: -0.3665 (-0.3670) time: 0.8622 data: 0.0002 max mem: 29859 [14:02:43.277544] Epoch: [52] [220/850] eta: 0:09:13 lr: 0.002398 loss: 0.0602 (0.0629) loss_rec_all: 0.0962 (0.0986) loss_rec_sfr: 0.1511 (0.1413) loss_cl: -0.3673 (-0.3670) time: 0.8608 data: 0.0002 max mem: 29859 [14:03:00.531088] Epoch: [52] [240/850] eta: 0:08:55 lr: 0.002398 loss: 0.0592 (0.0629) loss_rec_all: 0.0952 (0.0986) loss_rec_sfr: 0.1563 (0.1421) loss_cl: -0.3680 (-0.3671) time: 0.8626 data: 0.0002 max mem: 29859 [14:03:17.741895] Epoch: [52] [260/850] eta: 0:08:36 lr: 0.002398 loss: 0.0618 (0.0629) loss_rec_all: 0.0979 (0.0986) loss_rec_sfr: 0.1321 (0.1415) loss_cl: -0.3681 (-0.3671) time: 0.8605 data: 0.0002 max mem: 29859 [14:03:34.979814] Epoch: [52] [280/850] eta: 0:08:18 lr: 0.002398 loss: 0.0645 (0.0632) loss_rec_all: 0.1001 (0.0989) loss_rec_sfr: 0.1654 (0.1422) loss_cl: -0.3676 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [14:03:52.178547] Epoch: [52] [300/850] eta: 0:08:00 lr: 0.002398 loss: 0.0671 (0.0635) loss_rec_all: 0.1025 (0.0992) loss_rec_sfr: 0.1315 (0.1422) loss_cl: -0.3670 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [14:04:09.427972] Epoch: [52] [320/850] eta: 0:07:42 lr: 0.002398 loss: 0.0636 (0.0636) loss_rec_all: 0.0996 (0.0994) loss_rec_sfr: 0.1144 (0.1419) loss_cl: -0.3665 (-0.3671) time: 0.8624 data: 0.0002 max mem: 29859 [14:04:26.637719] Epoch: [52] [340/850] eta: 0:07:24 lr: 0.002398 loss: 0.0640 (0.0637) loss_rec_all: 0.0992 (0.0994) loss_rec_sfr: 0.1587 (0.1425) loss_cl: -0.3664 (-0.3670) time: 0.8604 data: 0.0002 max mem: 29859 [14:04:43.891865] Epoch: [52] [360/850] eta: 0:07:07 lr: 0.002398 loss: 0.0636 (0.0638) loss_rec_all: 0.0992 (0.0995) loss_rec_sfr: 0.1338 (0.1423) loss_cl: -0.3662 (-0.3670) time: 0.8627 data: 0.0002 max mem: 29859 [14:05:01.089171] Epoch: [52] [380/850] eta: 0:06:49 lr: 0.002398 loss: 0.0656 (0.0641) loss_rec_all: 0.1012 (0.0998) loss_rec_sfr: 0.1315 (0.1425) loss_cl: -0.3673 (-0.3670) time: 0.8598 data: 0.0002 max mem: 29859 [14:05:18.337557] Epoch: [52] [400/850] eta: 0:06:31 lr: 0.002398 loss: 0.0632 (0.0641) loss_rec_all: 0.0992 (0.0998) loss_rec_sfr: 0.1332 (0.1428) loss_cl: -0.3680 (-0.3671) time: 0.8624 data: 0.0002 max mem: 29859 [14:05:35.553670] Epoch: [52] [420/850] eta: 0:06:14 lr: 0.002398 loss: 0.0617 (0.0641) loss_rec_all: 0.0972 (0.0998) loss_rec_sfr: 0.1700 (0.1436) loss_cl: -0.3680 (-0.3671) time: 0.8608 data: 0.0002 max mem: 29859 [14:05:52.793034] Epoch: [52] [440/850] eta: 0:05:56 lr: 0.002398 loss: 0.0619 (0.0640) loss_rec_all: 0.0973 (0.0997) loss_rec_sfr: 0.1562 (0.1438) loss_cl: -0.3672 (-0.3671) time: 0.8619 data: 0.0002 max mem: 29859 [14:06:10.009995] Epoch: [52] [460/850] eta: 0:05:39 lr: 0.002398 loss: 0.0587 (0.0638) loss_rec_all: 0.0945 (0.0995) loss_rec_sfr: 0.1175 (0.1435) loss_cl: -0.3676 (-0.3671) time: 0.8608 data: 0.0002 max mem: 29859 [14:06:27.270134] Epoch: [52] [480/850] eta: 0:05:21 lr: 0.002398 loss: 0.0591 (0.0637) loss_rec_all: 0.0952 (0.0994) loss_rec_sfr: 0.1142 (0.1427) loss_cl: -0.3668 (-0.3671) time: 0.8630 data: 0.0002 max mem: 29859 [14:06:44.475217] Epoch: [52] [500/850] eta: 0:05:04 lr: 0.002398 loss: 0.0676 (0.0640) loss_rec_all: 0.1031 (0.0997) loss_rec_sfr: 0.1791 (0.1437) loss_cl: -0.3658 (-0.3671) time: 0.8602 data: 0.0002 max mem: 29859 [14:07:01.714799] Epoch: [52] [520/850] eta: 0:04:46 lr: 0.002398 loss: 0.0643 (0.0641) loss_rec_all: 0.1002 (0.0998) loss_rec_sfr: 0.1212 (0.1436) loss_cl: -0.3666 (-0.3670) time: 0.8619 data: 0.0002 max mem: 29859 [14:07:18.918277] Epoch: [52] [540/850] eta: 0:04:29 lr: 0.002398 loss: 0.0662 (0.0642) loss_rec_all: 0.1019 (0.0999) loss_rec_sfr: 0.1265 (0.1437) loss_cl: -0.3664 (-0.3670) time: 0.8601 data: 0.0002 max mem: 29859 [14:07:36.165193] Epoch: [52] [560/850] eta: 0:04:11 lr: 0.002398 loss: 0.0653 (0.0643) loss_rec_all: 0.1011 (0.1000) loss_rec_sfr: 0.1323 (0.1437) loss_cl: -0.3667 (-0.3670) time: 0.8623 data: 0.0002 max mem: 29859 [14:07:53.366229] Epoch: [52] [580/850] eta: 0:03:54 lr: 0.002398 loss: 0.0619 (0.0643) loss_rec_all: 0.0972 (0.1000) loss_rec_sfr: 0.1214 (0.1437) loss_cl: -0.3661 (-0.3670) time: 0.8600 data: 0.0002 max mem: 29859 [14:08:10.602908] Epoch: [52] [600/850] eta: 0:03:36 lr: 0.002398 loss: 0.0623 (0.0642) loss_rec_all: 0.0982 (0.0999) loss_rec_sfr: 0.1073 (0.1435) loss_cl: -0.3667 (-0.3670) time: 0.8618 data: 0.0002 max mem: 29859 [14:08:27.795141] Epoch: [52] [620/850] eta: 0:03:19 lr: 0.002398 loss: 0.0614 (0.0642) loss_rec_all: 0.0970 (0.0998) loss_rec_sfr: 0.1629 (0.1439) loss_cl: -0.3678 (-0.3670) time: 0.8596 data: 0.0002 max mem: 29859 [14:08:45.041947] Epoch: [52] [640/850] eta: 0:03:02 lr: 0.002398 loss: 0.0595 (0.0641) loss_rec_all: 0.0955 (0.0997) loss_rec_sfr: 0.1221 (0.1440) loss_cl: -0.3674 (-0.3670) time: 0.8623 data: 0.0002 max mem: 29859 [14:09:02.239876] Epoch: [52] [660/850] eta: 0:02:44 lr: 0.002398 loss: 0.0588 (0.0639) loss_rec_all: 0.0947 (0.0996) loss_rec_sfr: 0.1172 (0.1437) loss_cl: -0.3666 (-0.3670) time: 0.8598 data: 0.0002 max mem: 29859 [14:09:19.503050] Epoch: [52] [680/850] eta: 0:02:27 lr: 0.002398 loss: 0.0606 (0.0639) loss_rec_all: 0.0961 (0.0995) loss_rec_sfr: 0.1550 (0.1438) loss_cl: -0.3671 (-0.3670) time: 0.8631 data: 0.0002 max mem: 29859 [14:09:36.715204] Epoch: [52] [700/850] eta: 0:02:10 lr: 0.002398 loss: 0.0630 (0.0639) loss_rec_all: 0.0982 (0.0996) loss_rec_sfr: 0.1504 (0.1438) loss_cl: -0.3667 (-0.3670) time: 0.8606 data: 0.0002 max mem: 29859 [14:09:53.971853] Epoch: [52] [720/850] eta: 0:01:52 lr: 0.002398 loss: 0.0624 (0.0639) loss_rec_all: 0.0980 (0.0996) loss_rec_sfr: 0.1565 (0.1442) loss_cl: -0.3669 (-0.3670) time: 0.8628 data: 0.0002 max mem: 29859 [14:10:11.178495] Epoch: [52] [740/850] eta: 0:01:35 lr: 0.002398 loss: 0.0620 (0.0639) loss_rec_all: 0.0978 (0.0996) loss_rec_sfr: 0.1436 (0.1446) loss_cl: -0.3673 (-0.3670) time: 0.8603 data: 0.0002 max mem: 29859 [14:10:28.428523] Epoch: [52] [760/850] eta: 0:01:17 lr: 0.002398 loss: 0.0645 (0.0640) loss_rec_all: 0.0998 (0.0996) loss_rec_sfr: 0.1651 (0.1450) loss_cl: -0.3675 (-0.3670) time: 0.8624 data: 0.0002 max mem: 29859 [14:10:45.632591] Epoch: [52] [780/850] eta: 0:01:00 lr: 0.002398 loss: 0.0631 (0.0640) loss_rec_all: 0.0990 (0.0997) loss_rec_sfr: 0.1365 (0.1452) loss_cl: -0.3679 (-0.3670) time: 0.8602 data: 0.0002 max mem: 29859 [14:11:02.877279] Epoch: [52] [800/850] eta: 0:00:43 lr: 0.002398 loss: 0.0609 (0.0639) loss_rec_all: 0.0964 (0.0996) loss_rec_sfr: 0.1071 (0.1451) loss_cl: -0.3676 (-0.3670) time: 0.8622 data: 0.0002 max mem: 29859 [14:11:20.089698] Epoch: [52] [820/850] eta: 0:00:25 lr: 0.002398 loss: 0.0633 (0.0639) loss_rec_all: 0.0988 (0.0996) loss_rec_sfr: 0.1566 (0.1452) loss_cl: -0.3660 (-0.3670) time: 0.8606 data: 0.0002 max mem: 29859 [14:11:37.334938] Epoch: [52] [840/850] eta: 0:00:08 lr: 0.002398 loss: 0.0602 (0.0639) loss_rec_all: 0.0960 (0.0995) loss_rec_sfr: 0.1295 (0.1452) loss_cl: -0.3659 (-0.3670) time: 0.8622 data: 0.0005 max mem: 29859 [14:11:45.075021] Epoch: [52] [849/850] eta: 0:00:00 lr: 0.002398 loss: 0.0599 (0.0638) loss_rec_all: 0.0955 (0.0995) loss_rec_sfr: 0.1295 (0.1452) loss_cl: -0.3661 (-0.3670) time: 0.8617 data: 0.0004 max mem: 29859 [14:11:45.255770] Epoch: [52] Total time: 0:12:16 (0.8661 s / it) [14:11:45.269965] Averaged stats: lr: 0.002398 loss: 0.0599 (0.0638) loss_rec_all: 0.0955 (0.0995) loss_rec_sfr: 0.1295 (0.1454) loss_cl: -0.3661 (-0.3669) [14:11:45.278605] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [14:11:50.587596] Epoch: [53] [ 0/850] eta: 1:15:11 lr: 0.002398 loss: 0.0594 (0.0594) loss_rec_all: 0.0952 (0.0952) loss_rec_sfr: 0.1265 (0.1265) loss_cl: -0.3664 (-0.3664) time: 5.3079 data: 4.0123 max mem: 29859 [14:12:07.750204] Epoch: [53] [ 20/850] eta: 0:14:48 lr: 0.002398 loss: 0.0616 (0.0635) loss_rec_all: 0.0976 (0.0992) loss_rec_sfr: 0.1261 (0.1419) loss_cl: -0.3671 (-0.3668) time: 0.8581 data: 0.0002 max mem: 29859 [14:12:24.997927] Epoch: [53] [ 40/850] eta: 0:13:04 lr: 0.002398 loss: 0.0672 (0.0662) loss_rec_all: 0.1028 (0.1018) loss_rec_sfr: 0.1673 (0.1514) loss_cl: -0.3676 (-0.3671) time: 0.8623 data: 0.0002 max mem: 29859 [14:12:42.194904] Epoch: [53] [ 60/850] eta: 0:12:17 lr: 0.002398 loss: 0.0604 (0.0650) loss_rec_all: 0.0964 (0.1007) loss_rec_sfr: 0.1243 (0.1455) loss_cl: -0.3672 (-0.3671) time: 0.8598 data: 0.0002 max mem: 29859 [14:12:59.421587] Epoch: [53] [ 80/850] eta: 0:11:44 lr: 0.002398 loss: 0.0602 (0.0640) loss_rec_all: 0.0960 (0.0997) loss_rec_sfr: 0.1080 (0.1412) loss_cl: -0.3672 (-0.3671) time: 0.8613 data: 0.0002 max mem: 29859 [14:13:16.629221] Epoch: [53] [100/850] eta: 0:11:18 lr: 0.002398 loss: 0.0623 (0.0639) loss_rec_all: 0.0976 (0.0996) loss_rec_sfr: 0.1454 (0.1425) loss_cl: -0.3669 (-0.3671) time: 0.8603 data: 0.0002 max mem: 29859 [14:13:33.876449] Epoch: [53] [120/850] eta: 0:10:55 lr: 0.002398 loss: 0.0619 (0.0639) loss_rec_all: 0.0978 (0.0996) loss_rec_sfr: 0.1185 (0.1415) loss_cl: -0.3671 (-0.3671) time: 0.8623 data: 0.0002 max mem: 29859 [14:13:51.085858] Epoch: [53] [140/850] eta: 0:10:33 lr: 0.002398 loss: 0.0595 (0.0633) loss_rec_all: 0.0954 (0.0991) loss_rec_sfr: 0.1088 (0.1407) loss_cl: -0.3671 (-0.3671) time: 0.8604 data: 0.0002 max mem: 29859 [14:14:08.340162] Epoch: [53] [160/850] eta: 0:10:13 lr: 0.002398 loss: 0.0607 (0.0632) loss_rec_all: 0.0965 (0.0990) loss_rec_sfr: 0.1556 (0.1417) loss_cl: -0.3665 (-0.3670) time: 0.8627 data: 0.0002 max mem: 29859 [14:14:25.569682] Epoch: [53] [180/850] eta: 0:09:53 lr: 0.002398 loss: 0.0595 (0.0631) loss_rec_all: 0.0951 (0.0988) loss_rec_sfr: 0.1545 (0.1419) loss_cl: -0.3674 (-0.3671) time: 0.8614 data: 0.0002 max mem: 29859 [14:14:42.807686] Epoch: [53] [200/850] eta: 0:09:34 lr: 0.002398 loss: 0.0586 (0.0628) loss_rec_all: 0.0946 (0.0986) loss_rec_sfr: 0.1477 (0.1424) loss_cl: -0.3682 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [14:15:00.007389] Epoch: [53] [220/850] eta: 0:09:15 lr: 0.002398 loss: 0.0582 (0.0625) loss_rec_all: 0.0937 (0.0982) loss_rec_sfr: 0.1024 (0.1410) loss_cl: -0.3673 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [14:15:17.260825] Epoch: [53] [240/850] eta: 0:08:56 lr: 0.002398 loss: 0.0634 (0.0628) loss_rec_all: 0.0994 (0.0985) loss_rec_sfr: 0.1561 (0.1418) loss_cl: -0.3673 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [14:15:34.446682] Epoch: [53] [260/850] eta: 0:08:38 lr: 0.002398 loss: 0.0619 (0.0628) loss_rec_all: 0.0977 (0.0985) loss_rec_sfr: 0.1462 (0.1420) loss_cl: -0.3665 (-0.3672) time: 0.8592 data: 0.0002 max mem: 29859 [14:15:51.685435] Epoch: [53] [280/850] eta: 0:08:19 lr: 0.002398 loss: 0.0621 (0.0628) loss_rec_all: 0.0976 (0.0985) loss_rec_sfr: 0.1302 (0.1426) loss_cl: -0.3666 (-0.3671) time: 0.8619 data: 0.0002 max mem: 29859 [14:16:08.892177] Epoch: [53] [300/850] eta: 0:08:01 lr: 0.002398 loss: 0.0593 (0.0627) loss_rec_all: 0.0946 (0.0984) loss_rec_sfr: 0.1118 (0.1418) loss_cl: -0.3666 (-0.3671) time: 0.8603 data: 0.0002 max mem: 29859 [14:16:26.136174] Epoch: [53] [320/850] eta: 0:07:43 lr: 0.002398 loss: 0.0617 (0.0626) loss_rec_all: 0.0975 (0.0984) loss_rec_sfr: 0.1335 (0.1421) loss_cl: -0.3674 (-0.3671) time: 0.8622 data: 0.0002 max mem: 29859 [14:16:43.336300] Epoch: [53] [340/850] eta: 0:07:25 lr: 0.002398 loss: 0.0596 (0.0626) loss_rec_all: 0.0958 (0.0983) loss_rec_sfr: 0.1242 (0.1418) loss_cl: -0.3680 (-0.3671) time: 0.8600 data: 0.0002 max mem: 29859 [14:17:00.580337] Epoch: [53] [360/850] eta: 0:07:07 lr: 0.002398 loss: 0.0629 (0.0629) loss_rec_all: 0.0987 (0.0986) loss_rec_sfr: 0.1743 (0.1426) loss_cl: -0.3666 (-0.3671) time: 0.8621 data: 0.0002 max mem: 29859 [14:17:17.782069] Epoch: [53] [380/850] eta: 0:06:50 lr: 0.002398 loss: 0.0641 (0.0630) loss_rec_all: 0.0994 (0.0987) loss_rec_sfr: 0.1255 (0.1427) loss_cl: -0.3671 (-0.3671) time: 0.8600 data: 0.0002 max mem: 29859 [14:17:35.028915] Epoch: [53] [400/850] eta: 0:06:32 lr: 0.002398 loss: 0.0611 (0.0629) loss_rec_all: 0.0965 (0.0986) loss_rec_sfr: 0.1198 (0.1428) loss_cl: -0.3665 (-0.3670) time: 0.8623 data: 0.0002 max mem: 29859 [14:17:52.227535] Epoch: [53] [420/850] eta: 0:06:14 lr: 0.002398 loss: 0.0615 (0.0629) loss_rec_all: 0.0969 (0.0986) loss_rec_sfr: 0.1547 (0.1431) loss_cl: -0.3675 (-0.3671) time: 0.8599 data: 0.0002 max mem: 29859 [14:18:09.465348] Epoch: [53] [440/850] eta: 0:05:57 lr: 0.002398 loss: 0.0605 (0.0628) loss_rec_all: 0.0963 (0.0985) loss_rec_sfr: 0.1156 (0.1429) loss_cl: -0.3667 (-0.3670) time: 0.8618 data: 0.0002 max mem: 29859 [14:18:26.671481] Epoch: [53] [460/850] eta: 0:05:39 lr: 0.002398 loss: 0.0583 (0.0627) loss_rec_all: 0.0943 (0.0984) loss_rec_sfr: 0.1247 (0.1429) loss_cl: -0.3672 (-0.3670) time: 0.8603 data: 0.0002 max mem: 29859 [14:18:43.925680] Epoch: [53] [480/850] eta: 0:05:22 lr: 0.002398 loss: 0.0583 (0.0626) loss_rec_all: 0.0943 (0.0983) loss_rec_sfr: 0.1443 (0.1429) loss_cl: -0.3674 (-0.3670) time: 0.8627 data: 0.0002 max mem: 29859 [14:19:01.129481] Epoch: [53] [500/850] eta: 0:05:04 lr: 0.002398 loss: 0.0561 (0.0623) loss_rec_all: 0.0921 (0.0980) loss_rec_sfr: 0.1097 (0.1422) loss_cl: -0.3674 (-0.3671) time: 0.8601 data: 0.0002 max mem: 29859 [14:19:18.355981] Epoch: [53] [520/850] eta: 0:04:46 lr: 0.002398 loss: 0.0554 (0.0621) loss_rec_all: 0.0910 (0.0978) loss_rec_sfr: 0.1098 (0.1418) loss_cl: -0.3672 (-0.3671) time: 0.8613 data: 0.0002 max mem: 29859 [14:19:35.581970] Epoch: [53] [540/850] eta: 0:04:29 lr: 0.002398 loss: 0.0612 (0.0621) loss_rec_all: 0.0969 (0.0979) loss_rec_sfr: 0.1582 (0.1425) loss_cl: -0.3667 (-0.3670) time: 0.8612 data: 0.0002 max mem: 29859 [14:19:52.820788] Epoch: [53] [560/850] eta: 0:04:12 lr: 0.002398 loss: 0.0661 (0.0624) loss_rec_all: 0.1020 (0.0981) loss_rec_sfr: 0.1263 (0.1423) loss_cl: -0.3669 (-0.3670) time: 0.8619 data: 0.0002 max mem: 29859 [14:20:10.025313] Epoch: [53] [580/850] eta: 0:03:54 lr: 0.002398 loss: 0.0680 (0.0627) loss_rec_all: 0.1040 (0.0984) loss_rec_sfr: 0.1701 (0.1428) loss_cl: -0.3667 (-0.3670) time: 0.8602 data: 0.0002 max mem: 29859 [14:20:27.262695] Epoch: [53] [600/850] eta: 0:03:37 lr: 0.002398 loss: 0.0667 (0.0629) loss_rec_all: 0.1025 (0.0986) loss_rec_sfr: 0.1289 (0.1427) loss_cl: -0.3666 (-0.3670) time: 0.8618 data: 0.0002 max mem: 29859 [14:20:44.459084] Epoch: [53] [620/850] eta: 0:03:19 lr: 0.002398 loss: 0.0661 (0.0630) loss_rec_all: 0.1017 (0.0987) loss_rec_sfr: 0.1404 (0.1428) loss_cl: -0.3667 (-0.3670) time: 0.8598 data: 0.0002 max mem: 29859 [14:21:01.705377] Epoch: [53] [640/850] eta: 0:03:02 lr: 0.002398 loss: 0.0652 (0.0632) loss_rec_all: 0.1006 (0.0989) loss_rec_sfr: 0.1440 (0.1431) loss_cl: -0.3672 (-0.3670) time: 0.8623 data: 0.0002 max mem: 29859 [14:21:18.922200] Epoch: [53] [660/850] eta: 0:02:44 lr: 0.002398 loss: 0.0662 (0.0633) loss_rec_all: 0.1014 (0.0990) loss_rec_sfr: 0.1495 (0.1433) loss_cl: -0.3676 (-0.3670) time: 0.8608 data: 0.0002 max mem: 29859 [14:21:36.167668] Epoch: [53] [680/850] eta: 0:02:27 lr: 0.002398 loss: 0.0618 (0.0633) loss_rec_all: 0.0973 (0.0990) loss_rec_sfr: 0.1288 (0.1433) loss_cl: -0.3675 (-0.3670) time: 0.8622 data: 0.0002 max mem: 29859 [14:21:53.371778] Epoch: [53] [700/850] eta: 0:02:10 lr: 0.002398 loss: 0.0603 (0.0633) loss_rec_all: 0.0962 (0.0990) loss_rec_sfr: 0.1185 (0.1431) loss_cl: -0.3663 (-0.3670) time: 0.8602 data: 0.0002 max mem: 29859 [14:22:10.625283] Epoch: [53] [720/850] eta: 0:01:52 lr: 0.002398 loss: 0.0618 (0.0633) loss_rec_all: 0.0975 (0.0990) loss_rec_sfr: 0.1327 (0.1431) loss_cl: -0.3663 (-0.3670) time: 0.8626 data: 0.0002 max mem: 29859 [14:22:27.820486] Epoch: [53] [740/850] eta: 0:01:35 lr: 0.002398 loss: 0.0602 (0.0632) loss_rec_all: 0.0956 (0.0989) loss_rec_sfr: 0.1626 (0.1434) loss_cl: -0.3664 (-0.3670) time: 0.8597 data: 0.0002 max mem: 29859 [14:22:45.075589] Epoch: [53] [760/850] eta: 0:01:18 lr: 0.002398 loss: 0.0598 (0.0632) loss_rec_all: 0.0959 (0.0989) loss_rec_sfr: 0.1084 (0.1431) loss_cl: -0.3679 (-0.3670) time: 0.8627 data: 0.0002 max mem: 29859 [14:23:02.286114] Epoch: [53] [780/850] eta: 0:01:00 lr: 0.002398 loss: 0.0597 (0.0631) loss_rec_all: 0.0953 (0.0988) loss_rec_sfr: 0.1513 (0.1432) loss_cl: -0.3685 (-0.3670) time: 0.8605 data: 0.0002 max mem: 29859 [14:23:19.516972] Epoch: [53] [800/850] eta: 0:00:43 lr: 0.002398 loss: 0.0589 (0.0630) loss_rec_all: 0.0948 (0.0987) loss_rec_sfr: 0.1234 (0.1432) loss_cl: -0.3676 (-0.3670) time: 0.8615 data: 0.0002 max mem: 29859 [14:23:36.714284] Epoch: [53] [820/850] eta: 0:00:25 lr: 0.002398 loss: 0.0582 (0.0630) loss_rec_all: 0.0942 (0.0987) loss_rec_sfr: 0.1490 (0.1432) loss_cl: -0.3670 (-0.3670) time: 0.8598 data: 0.0002 max mem: 29859 [14:23:53.941591] Epoch: [53] [840/850] eta: 0:00:08 lr: 0.002398 loss: 0.0569 (0.0628) loss_rec_all: 0.0929 (0.0985) loss_rec_sfr: 0.1083 (0.1428) loss_cl: -0.3661 (-0.3670) time: 0.8613 data: 0.0005 max mem: 29859 [14:24:01.680651] Epoch: [53] [849/850] eta: 0:00:00 lr: 0.002398 loss: 0.0569 (0.0628) loss_rec_all: 0.0929 (0.0985) loss_rec_sfr: 0.1191 (0.1428) loss_cl: -0.3660 (-0.3670) time: 0.8614 data: 0.0005 max mem: 29859 [14:24:01.883483] Epoch: [53] Total time: 0:12:16 (0.8666 s / it) [14:24:01.914083] Averaged stats: lr: 0.002398 loss: 0.0569 (0.0629) loss_rec_all: 0.0929 (0.0986) loss_rec_sfr: 0.1191 (0.1437) loss_cl: -0.3660 (-0.3670) [14:24:01.920396] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [14:24:06.855107] Epoch: [54] [ 0/850] eta: 1:09:53 lr: 0.002398 loss: 0.0612 (0.0612) loss_rec_all: 0.0965 (0.0965) loss_rec_sfr: 0.1992 (0.1992) loss_cl: -0.3671 (-0.3671) time: 4.9340 data: 4.0797 max mem: 29859 [14:24:24.014216] Epoch: [54] [ 20/850] eta: 0:14:33 lr: 0.002398 loss: 0.0582 (0.0586) loss_rec_all: 0.0936 (0.0942) loss_rec_sfr: 0.1186 (0.1381) loss_cl: -0.3659 (-0.3659) time: 0.8579 data: 0.0002 max mem: 29859 [14:24:41.222804] Epoch: [54] [ 40/850] eta: 0:12:56 lr: 0.002398 loss: 0.0572 (0.0592) loss_rec_all: 0.0927 (0.0949) loss_rec_sfr: 0.1142 (0.1319) loss_cl: -0.3667 (-0.3663) time: 0.8604 data: 0.0002 max mem: 29859 [14:24:58.414404] Epoch: [54] [ 60/850] eta: 0:12:11 lr: 0.002398 loss: 0.0588 (0.0598) loss_rec_all: 0.0943 (0.0955) loss_rec_sfr: 0.1491 (0.1335) loss_cl: -0.3678 (-0.3668) time: 0.8595 data: 0.0002 max mem: 29859 [14:25:15.640790] Epoch: [54] [ 80/850] eta: 0:11:40 lr: 0.002398 loss: 0.0587 (0.0600) loss_rec_all: 0.0948 (0.0958) loss_rec_sfr: 0.1053 (0.1342) loss_cl: -0.3684 (-0.3672) time: 0.8613 data: 0.0002 max mem: 29859 [14:25:32.855174] Epoch: [54] [100/850] eta: 0:11:15 lr: 0.002398 loss: 0.0604 (0.0602) loss_rec_all: 0.0963 (0.0959) loss_rec_sfr: 0.1290 (0.1350) loss_cl: -0.3674 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [14:25:50.097249] Epoch: [54] [120/850] eta: 0:10:52 lr: 0.002398 loss: 0.0600 (0.0603) loss_rec_all: 0.0955 (0.0961) loss_rec_sfr: 0.1254 (0.1355) loss_cl: -0.3664 (-0.3671) time: 0.8621 data: 0.0002 max mem: 29859 [14:26:07.300398] Epoch: [54] [140/850] eta: 0:10:31 lr: 0.002398 loss: 0.0574 (0.0599) loss_rec_all: 0.0930 (0.0957) loss_rec_sfr: 0.1165 (0.1354) loss_cl: -0.3666 (-0.3670) time: 0.8601 data: 0.0002 max mem: 29859 [14:26:24.543367] Epoch: [54] [160/850] eta: 0:10:11 lr: 0.002398 loss: 0.0572 (0.0598) loss_rec_all: 0.0931 (0.0955) loss_rec_sfr: 0.1193 (0.1359) loss_cl: -0.3669 (-0.3670) time: 0.8621 data: 0.0002 max mem: 29859 [14:26:41.743099] Epoch: [54] [180/850] eta: 0:09:51 lr: 0.002398 loss: 0.0556 (0.0595) loss_rec_all: 0.0916 (0.0953) loss_rec_sfr: 0.1222 (0.1358) loss_cl: -0.3669 (-0.3670) time: 0.8599 data: 0.0002 max mem: 29859 [14:26:58.968784] Epoch: [54] [200/850] eta: 0:09:32 lr: 0.002398 loss: 0.0558 (0.0593) loss_rec_all: 0.0919 (0.0950) loss_rec_sfr: 0.1273 (0.1356) loss_cl: -0.3669 (-0.3669) time: 0.8612 data: 0.0002 max mem: 29859 [14:27:16.176449] Epoch: [54] [220/850] eta: 0:09:13 lr: 0.002398 loss: 0.0577 (0.0592) loss_rec_all: 0.0936 (0.0950) loss_rec_sfr: 0.1253 (0.1355) loss_cl: -0.3673 (-0.3669) time: 0.8603 data: 0.0002 max mem: 29859 [14:27:33.410894] Epoch: [54] [240/850] eta: 0:08:55 lr: 0.002398 loss: 0.0566 (0.0592) loss_rec_all: 0.0925 (0.0949) loss_rec_sfr: 0.1172 (0.1355) loss_cl: -0.3677 (-0.3670) time: 0.8617 data: 0.0002 max mem: 29859 [14:27:50.612149] Epoch: [54] [260/850] eta: 0:08:36 lr: 0.002398 loss: 0.0577 (0.0591) loss_rec_all: 0.0934 (0.0948) loss_rec_sfr: 0.1260 (0.1357) loss_cl: -0.3677 (-0.3671) time: 0.8600 data: 0.0002 max mem: 29859 [14:28:07.865965] Epoch: [54] [280/850] eta: 0:08:18 lr: 0.002398 loss: 0.0621 (0.0595) loss_rec_all: 0.0980 (0.0952) loss_rec_sfr: 0.1300 (0.1368) loss_cl: -0.3672 (-0.3671) time: 0.8626 data: 0.0002 max mem: 29859 [14:28:25.075276] Epoch: [54] [300/850] eta: 0:08:00 lr: 0.002398 loss: 0.0684 (0.0602) loss_rec_all: 0.1040 (0.0959) loss_rec_sfr: 0.1635 (0.1382) loss_cl: -0.3663 (-0.3670) time: 0.8604 data: 0.0002 max mem: 29859 [14:28:42.341366] Epoch: [54] [320/850] eta: 0:07:42 lr: 0.002398 loss: 0.0650 (0.0606) loss_rec_all: 0.1007 (0.0963) loss_rec_sfr: 0.1603 (0.1389) loss_cl: -0.3660 (-0.3670) time: 0.8633 data: 0.0002 max mem: 29859 [14:28:59.553334] Epoch: [54] [340/850] eta: 0:07:25 lr: 0.002398 loss: 0.0628 (0.0609) loss_rec_all: 0.0988 (0.0966) loss_rec_sfr: 0.1601 (0.1398) loss_cl: -0.3668 (-0.3669) time: 0.8605 data: 0.0002 max mem: 29859 [14:29:16.817970] Epoch: [54] [360/850] eta: 0:07:07 lr: 0.002398 loss: 0.0602 (0.0610) loss_rec_all: 0.0961 (0.0967) loss_rec_sfr: 0.1220 (0.1398) loss_cl: -0.3674 (-0.3670) time: 0.8632 data: 0.0002 max mem: 29859 [14:29:34.048633] Epoch: [54] [380/850] eta: 0:06:49 lr: 0.002398 loss: 0.0610 (0.0610) loss_rec_all: 0.0966 (0.0967) loss_rec_sfr: 0.1256 (0.1397) loss_cl: -0.3673 (-0.3670) time: 0.8615 data: 0.0002 max mem: 29859 [14:29:51.361138] Epoch: [54] [400/850] eta: 0:06:32 lr: 0.002398 loss: 0.0617 (0.0612) loss_rec_all: 0.0973 (0.0969) loss_rec_sfr: 0.1428 (0.1399) loss_cl: -0.3671 (-0.3670) time: 0.8656 data: 0.0002 max mem: 29859 [14:30:08.565592] Epoch: [54] [420/850] eta: 0:06:14 lr: 0.002398 loss: 0.0609 (0.0612) loss_rec_all: 0.0964 (0.0969) loss_rec_sfr: 0.1126 (0.1398) loss_cl: -0.3666 (-0.3670) time: 0.8602 data: 0.0002 max mem: 29859 [14:30:25.804568] Epoch: [54] [440/850] eta: 0:05:56 lr: 0.002398 loss: 0.0597 (0.0612) loss_rec_all: 0.0952 (0.0969) loss_rec_sfr: 0.1542 (0.1398) loss_cl: -0.3669 (-0.3669) time: 0.8619 data: 0.0002 max mem: 29859 [14:30:43.009875] Epoch: [54] [460/850] eta: 0:05:39 lr: 0.002398 loss: 0.0569 (0.0611) loss_rec_all: 0.0925 (0.0968) loss_rec_sfr: 0.1130 (0.1396) loss_cl: -0.3668 (-0.3669) time: 0.8602 data: 0.0002 max mem: 29859 [14:31:00.234883] Epoch: [54] [480/850] eta: 0:05:21 lr: 0.002398 loss: 0.0584 (0.0610) loss_rec_all: 0.0939 (0.0967) loss_rec_sfr: 0.1522 (0.1398) loss_cl: -0.3672 (-0.3670) time: 0.8612 data: 0.0002 max mem: 29859 [14:31:17.418593] Epoch: [54] [500/850] eta: 0:05:04 lr: 0.002398 loss: 0.0562 (0.0609) loss_rec_all: 0.0923 (0.0966) loss_rec_sfr: 0.1439 (0.1397) loss_cl: -0.3671 (-0.3670) time: 0.8591 data: 0.0002 max mem: 29859 [14:31:34.641695] Epoch: [54] [520/850] eta: 0:04:46 lr: 0.002398 loss: 0.0598 (0.0609) loss_rec_all: 0.0954 (0.0967) loss_rec_sfr: 0.1561 (0.1401) loss_cl: -0.3671 (-0.3670) time: 0.8611 data: 0.0002 max mem: 29859 [14:31:51.835650] Epoch: [54] [540/850] eta: 0:04:29 lr: 0.002398 loss: 0.0637 (0.0612) loss_rec_all: 0.0997 (0.0969) loss_rec_sfr: 0.1302 (0.1405) loss_cl: -0.3675 (-0.3670) time: 0.8596 data: 0.0002 max mem: 29859 [14:32:09.071598] Epoch: [54] [560/850] eta: 0:04:11 lr: 0.002398 loss: 0.0651 (0.0614) loss_rec_all: 0.1005 (0.0971) loss_rec_sfr: 0.1547 (0.1410) loss_cl: -0.3676 (-0.3670) time: 0.8618 data: 0.0002 max mem: 29859 [14:32:26.264155] Epoch: [54] [580/850] eta: 0:03:54 lr: 0.002398 loss: 0.0634 (0.0615) loss_rec_all: 0.0987 (0.0972) loss_rec_sfr: 0.1533 (0.1413) loss_cl: -0.3677 (-0.3670) time: 0.8596 data: 0.0002 max mem: 29859 [14:32:43.497855] Epoch: [54] [600/850] eta: 0:03:36 lr: 0.002398 loss: 0.0608 (0.0615) loss_rec_all: 0.0965 (0.0972) loss_rec_sfr: 0.1618 (0.1417) loss_cl: -0.3677 (-0.3670) time: 0.8616 data: 0.0002 max mem: 29859 [14:33:00.682106] Epoch: [54] [620/850] eta: 0:03:19 lr: 0.002398 loss: 0.0599 (0.0615) loss_rec_all: 0.0958 (0.0972) loss_rec_sfr: 0.1407 (0.1419) loss_cl: -0.3669 (-0.3670) time: 0.8592 data: 0.0002 max mem: 29859 [14:33:17.927720] Epoch: [54] [640/850] eta: 0:03:02 lr: 0.002398 loss: 0.0584 (0.0615) loss_rec_all: 0.0944 (0.0972) loss_rec_sfr: 0.1235 (0.1416) loss_cl: -0.3667 (-0.3670) time: 0.8622 data: 0.0002 max mem: 29859 [14:33:35.122692] Epoch: [54] [660/850] eta: 0:02:44 lr: 0.002398 loss: 0.0591 (0.0614) loss_rec_all: 0.0950 (0.0972) loss_rec_sfr: 0.1414 (0.1416) loss_cl: -0.3667 (-0.3670) time: 0.8597 data: 0.0002 max mem: 29859 [14:33:52.380708] Epoch: [54] [680/850] eta: 0:02:27 lr: 0.002398 loss: 0.0572 (0.0613) loss_rec_all: 0.0933 (0.0971) loss_rec_sfr: 0.1241 (0.1413) loss_cl: -0.3672 (-0.3670) time: 0.8628 data: 0.0003 max mem: 29859 [14:34:09.580735] Epoch: [54] [700/850] eta: 0:02:10 lr: 0.002398 loss: 0.0575 (0.0613) loss_rec_all: 0.0932 (0.0970) loss_rec_sfr: 0.1262 (0.1410) loss_cl: -0.3672 (-0.3670) time: 0.8599 data: 0.0002 max mem: 29859 [14:34:26.840321] Epoch: [54] [720/850] eta: 0:01:52 lr: 0.002398 loss: 0.0573 (0.0612) loss_rec_all: 0.0928 (0.0969) loss_rec_sfr: 0.1489 (0.1410) loss_cl: -0.3667 (-0.3670) time: 0.8629 data: 0.0002 max mem: 29859 [14:34:44.033944] Epoch: [54] [740/850] eta: 0:01:35 lr: 0.002398 loss: 0.0565 (0.0611) loss_rec_all: 0.0924 (0.0968) loss_rec_sfr: 0.1132 (0.1408) loss_cl: -0.3661 (-0.3670) time: 0.8596 data: 0.0003 max mem: 29859 [14:35:01.274117] Epoch: [54] [760/850] eta: 0:01:17 lr: 0.002398 loss: 0.0588 (0.0611) loss_rec_all: 0.0945 (0.0968) loss_rec_sfr: 0.1143 (0.1405) loss_cl: -0.3671 (-0.3670) time: 0.8620 data: 0.0002 max mem: 29859 [14:35:18.463414] Epoch: [54] [780/850] eta: 0:01:00 lr: 0.002398 loss: 0.0601 (0.0611) loss_rec_all: 0.0961 (0.0968) loss_rec_sfr: 0.1537 (0.1408) loss_cl: -0.3671 (-0.3670) time: 0.8594 data: 0.0002 max mem: 29859 [14:35:35.691497] Epoch: [54] [800/850] eta: 0:00:43 lr: 0.002398 loss: 0.0600 (0.0611) loss_rec_all: 0.0960 (0.0968) loss_rec_sfr: 0.1087 (0.1405) loss_cl: -0.3674 (-0.3670) time: 0.8614 data: 0.0002 max mem: 29859 [14:35:52.897836] Epoch: [54] [820/850] eta: 0:00:25 lr: 0.002398 loss: 0.0592 (0.0611) loss_rec_all: 0.0947 (0.0968) loss_rec_sfr: 0.1248 (0.1406) loss_cl: -0.3674 (-0.3670) time: 0.8603 data: 0.0002 max mem: 29859 [14:36:10.130911] Epoch: [54] [840/850] eta: 0:00:08 lr: 0.002398 loss: 0.0583 (0.0610) loss_rec_all: 0.0943 (0.0968) loss_rec_sfr: 0.1502 (0.1407) loss_cl: -0.3674 (-0.3670) time: 0.8616 data: 0.0005 max mem: 29859 [14:36:17.866350] Epoch: [54] [849/850] eta: 0:00:00 lr: 0.002398 loss: 0.0587 (0.0610) loss_rec_all: 0.0947 (0.0967) loss_rec_sfr: 0.1497 (0.1407) loss_cl: -0.3674 (-0.3670) time: 0.8614 data: 0.0005 max mem: 29859 [14:36:18.074951] Epoch: [54] Total time: 0:12:16 (0.8661 s / it) [14:36:18.077526] Averaged stats: lr: 0.002398 loss: 0.0587 (0.0610) loss_rec_all: 0.0947 (0.0967) loss_rec_sfr: 0.1497 (0.1396) loss_cl: -0.3674 (-0.3670) [14:36:18.089784] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [14:36:23.498652] Epoch: [55] [ 0/850] eta: 1:16:36 lr: 0.002398 loss: 0.0586 (0.0586) loss_rec_all: 0.0941 (0.0941) loss_rec_sfr: 0.1839 (0.1839) loss_cl: -0.3682 (-0.3682) time: 5.4081 data: 4.3321 max mem: 29859 [14:36:40.652488] Epoch: [55] [ 20/850] eta: 0:14:51 lr: 0.002398 loss: 0.0566 (0.0584) loss_rec_all: 0.0926 (0.0942) loss_rec_sfr: 0.1092 (0.1366) loss_cl: -0.3677 (-0.3676) time: 0.8576 data: 0.0002 max mem: 29859 [14:36:57.867644] Epoch: [55] [ 40/850] eta: 0:13:05 lr: 0.002398 loss: 0.0553 (0.0574) loss_rec_all: 0.0908 (0.0931) loss_rec_sfr: 0.1199 (0.1370) loss_cl: -0.3672 (-0.3674) time: 0.8607 data: 0.0002 max mem: 29859 [14:37:15.045415] Epoch: [55] [ 60/850] eta: 0:12:17 lr: 0.002398 loss: 0.0568 (0.0578) loss_rec_all: 0.0928 (0.0936) loss_rec_sfr: 0.1101 (0.1333) loss_cl: -0.3667 (-0.3671) time: 0.8588 data: 0.0002 max mem: 29859 [14:37:32.308395] Epoch: [55] [ 80/850] eta: 0:11:45 lr: 0.002398 loss: 0.0571 (0.0579) loss_rec_all: 0.0931 (0.0937) loss_rec_sfr: 0.1076 (0.1341) loss_cl: -0.3671 (-0.3671) time: 0.8631 data: 0.0002 max mem: 29859 [14:37:49.562197] Epoch: [55] [100/850] eta: 0:11:19 lr: 0.002398 loss: 0.0606 (0.0586) loss_rec_all: 0.0965 (0.0943) loss_rec_sfr: 0.1678 (0.1405) loss_cl: -0.3671 (-0.3671) time: 0.8626 data: 0.0002 max mem: 29859 [14:38:06.807388] Epoch: [55] [120/850] eta: 0:10:55 lr: 0.002398 loss: 0.0565 (0.0585) loss_rec_all: 0.0922 (0.0943) loss_rec_sfr: 0.1572 (0.1408) loss_cl: -0.3671 (-0.3671) time: 0.8622 data: 0.0002 max mem: 29859 [14:38:24.012052] Epoch: [55] [140/850] eta: 0:10:34 lr: 0.002398 loss: 0.0557 (0.0588) loss_rec_all: 0.0915 (0.0945) loss_rec_sfr: 0.1461 (0.1396) loss_cl: -0.3673 (-0.3671) time: 0.8602 data: 0.0002 max mem: 29859 [14:38:41.335192] Epoch: [55] [160/850] eta: 0:10:13 lr: 0.002398 loss: 0.0586 (0.0588) loss_rec_all: 0.0946 (0.0946) loss_rec_sfr: 0.1655 (0.1416) loss_cl: -0.3677 (-0.3672) time: 0.8661 data: 0.0003 max mem: 29859 [14:38:58.545193] Epoch: [55] [180/850] eta: 0:09:53 lr: 0.002398 loss: 0.0623 (0.0593) loss_rec_all: 0.0977 (0.0950) loss_rec_sfr: 0.1545 (0.1428) loss_cl: -0.3677 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [14:39:15.785701] Epoch: [55] [200/850] eta: 0:09:34 lr: 0.002398 loss: 0.0570 (0.0592) loss_rec_all: 0.0930 (0.0949) loss_rec_sfr: 0.1498 (0.1434) loss_cl: -0.3671 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [14:39:33.041948] Epoch: [55] [220/850] eta: 0:09:15 lr: 0.002398 loss: 0.0569 (0.0592) loss_rec_all: 0.0925 (0.0949) loss_rec_sfr: 0.1124 (0.1421) loss_cl: -0.3670 (-0.3672) time: 0.8627 data: 0.0003 max mem: 29859 [14:39:50.290340] Epoch: [55] [240/850] eta: 0:08:57 lr: 0.002398 loss: 0.0579 (0.0593) loss_rec_all: 0.0937 (0.0950) loss_rec_sfr: 0.1130 (0.1412) loss_cl: -0.3662 (-0.3671) time: 0.8624 data: 0.0002 max mem: 29859 [14:40:07.491654] Epoch: [55] [260/850] eta: 0:08:38 lr: 0.002398 loss: 0.0592 (0.0594) loss_rec_all: 0.0952 (0.0951) loss_rec_sfr: 0.1527 (0.1414) loss_cl: -0.3660 (-0.3670) time: 0.8600 data: 0.0002 max mem: 29859 [14:40:24.769623] Epoch: [55] [280/850] eta: 0:08:20 lr: 0.002398 loss: 0.0630 (0.0598) loss_rec_all: 0.0982 (0.0955) loss_rec_sfr: 0.1623 (0.1429) loss_cl: -0.3666 (-0.3670) time: 0.8638 data: 0.0002 max mem: 29859 [14:40:42.017841] Epoch: [55] [300/850] eta: 0:08:02 lr: 0.002398 loss: 0.0605 (0.0599) loss_rec_all: 0.0961 (0.0956) loss_rec_sfr: 0.1409 (0.1430) loss_cl: -0.3672 (-0.3670) time: 0.8624 data: 0.0002 max mem: 29859 [14:40:59.254577] Epoch: [55] [320/850] eta: 0:07:44 lr: 0.002398 loss: 0.0578 (0.0598) loss_rec_all: 0.0938 (0.0955) loss_rec_sfr: 0.1471 (0.1431) loss_cl: -0.3667 (-0.3670) time: 0.8618 data: 0.0002 max mem: 29859 [14:41:16.470950] Epoch: [55] [340/850] eta: 0:07:26 lr: 0.002398 loss: 0.0580 (0.0597) loss_rec_all: 0.0934 (0.0954) loss_rec_sfr: 0.1354 (0.1432) loss_cl: -0.3675 (-0.3670) time: 0.8608 data: 0.0002 max mem: 29859 [14:41:33.800216] Epoch: [55] [360/850] eta: 0:07:08 lr: 0.002398 loss: 0.0575 (0.0596) loss_rec_all: 0.0930 (0.0953) loss_rec_sfr: 0.1241 (0.1428) loss_cl: -0.3676 (-0.3670) time: 0.8664 data: 0.0002 max mem: 29859 [14:41:50.997380] Epoch: [55] [380/850] eta: 0:06:50 lr: 0.002398 loss: 0.0592 (0.0596) loss_rec_all: 0.0953 (0.0953) loss_rec_sfr: 0.1274 (0.1430) loss_cl: -0.3674 (-0.3670) time: 0.8598 data: 0.0002 max mem: 29859 [14:42:08.250443] Epoch: [55] [400/850] eta: 0:06:32 lr: 0.002398 loss: 0.0574 (0.0596) loss_rec_all: 0.0930 (0.0953) loss_rec_sfr: 0.1440 (0.1432) loss_cl: -0.3662 (-0.3670) time: 0.8626 data: 0.0002 max mem: 29859 [14:42:25.506314] Epoch: [55] [420/850] eta: 0:06:15 lr: 0.002398 loss: 0.0569 (0.0596) loss_rec_all: 0.0925 (0.0953) loss_rec_sfr: 0.1432 (0.1434) loss_cl: -0.3672 (-0.3670) time: 0.8627 data: 0.0004 max mem: 29859 [14:42:42.738979] Epoch: [55] [440/850] eta: 0:05:57 lr: 0.002398 loss: 0.0540 (0.0594) loss_rec_all: 0.0897 (0.0951) loss_rec_sfr: 0.1151 (0.1430) loss_cl: -0.3672 (-0.3670) time: 0.8616 data: 0.0002 max mem: 29859 [14:42:59.985326] Epoch: [55] [460/850] eta: 0:05:39 lr: 0.002398 loss: 0.0547 (0.0592) loss_rec_all: 0.0907 (0.0949) loss_rec_sfr: 0.1154 (0.1425) loss_cl: -0.3668 (-0.3670) time: 0.8623 data: 0.0002 max mem: 29859 [14:43:17.438108] Epoch: [55] [480/850] eta: 0:05:22 lr: 0.002398 loss: 0.0556 (0.0591) loss_rec_all: 0.0917 (0.0948) loss_rec_sfr: 0.1406 (0.1423) loss_cl: -0.3674 (-0.3670) time: 0.8726 data: 0.0004 max mem: 29859 [14:43:34.619562] Epoch: [55] [500/850] eta: 0:05:04 lr: 0.002398 loss: 0.0586 (0.0591) loss_rec_all: 0.0941 (0.0948) loss_rec_sfr: 0.1205 (0.1422) loss_cl: -0.3675 (-0.3670) time: 0.8590 data: 0.0002 max mem: 29859 [14:43:51.859871] Epoch: [55] [520/850] eta: 0:04:47 lr: 0.002398 loss: 0.0596 (0.0592) loss_rec_all: 0.0956 (0.0949) loss_rec_sfr: 0.1054 (0.1418) loss_cl: -0.3672 (-0.3670) time: 0.8619 data: 0.0002 max mem: 29859 [14:44:09.180962] Epoch: [55] [540/850] eta: 0:04:29 lr: 0.002397 loss: 0.0591 (0.0592) loss_rec_all: 0.0950 (0.0950) loss_rec_sfr: 0.1445 (0.1419) loss_cl: -0.3673 (-0.3670) time: 0.8660 data: 0.0003 max mem: 29859 [14:44:26.412679] Epoch: [55] [560/850] eta: 0:04:12 lr: 0.002397 loss: 0.0574 (0.0592) loss_rec_all: 0.0932 (0.0949) loss_rec_sfr: 0.1243 (0.1418) loss_cl: -0.3666 (-0.3670) time: 0.8615 data: 0.0002 max mem: 29859 [14:44:43.615014] Epoch: [55] [580/850] eta: 0:03:54 lr: 0.002397 loss: 0.0589 (0.0593) loss_rec_all: 0.0943 (0.0950) loss_rec_sfr: 0.1453 (0.1420) loss_cl: -0.3671 (-0.3670) time: 0.8600 data: 0.0002 max mem: 29859 [14:45:00.958545] Epoch: [55] [600/850] eta: 0:03:37 lr: 0.002397 loss: 0.0555 (0.0592) loss_rec_all: 0.0911 (0.0949) loss_rec_sfr: 0.1452 (0.1420) loss_cl: -0.3676 (-0.3671) time: 0.8671 data: 0.0003 max mem: 29859 [14:45:18.134362] Epoch: [55] [620/850] eta: 0:03:20 lr: 0.002397 loss: 0.0541 (0.0591) loss_rec_all: 0.0900 (0.0948) loss_rec_sfr: 0.1098 (0.1414) loss_cl: -0.3666 (-0.3670) time: 0.8587 data: 0.0002 max mem: 29859 [14:45:35.395452] Epoch: [55] [640/850] eta: 0:03:02 lr: 0.002397 loss: 0.0540 (0.0590) loss_rec_all: 0.0901 (0.0947) loss_rec_sfr: 0.1123 (0.1411) loss_cl: -0.3662 (-0.3670) time: 0.8630 data: 0.0002 max mem: 29859 [14:45:52.662491] Epoch: [55] [660/850] eta: 0:02:45 lr: 0.002397 loss: 0.0547 (0.0589) loss_rec_all: 0.0905 (0.0946) loss_rec_sfr: 0.1171 (0.1409) loss_cl: -0.3670 (-0.3670) time: 0.8633 data: 0.0002 max mem: 29859 [14:46:09.894423] Epoch: [55] [680/850] eta: 0:02:27 lr: 0.002397 loss: 0.0547 (0.0588) loss_rec_all: 0.0908 (0.0945) loss_rec_sfr: 0.1436 (0.1408) loss_cl: -0.3675 (-0.3670) time: 0.8616 data: 0.0002 max mem: 29859 [14:46:27.096836] Epoch: [55] [700/850] eta: 0:02:10 lr: 0.002397 loss: 0.0582 (0.0588) loss_rec_all: 0.0939 (0.0945) loss_rec_sfr: 0.1640 (0.1412) loss_cl: -0.3680 (-0.3670) time: 0.8601 data: 0.0002 max mem: 29859 [14:46:44.427764] Epoch: [55] [720/850] eta: 0:01:52 lr: 0.002397 loss: 0.0581 (0.0588) loss_rec_all: 0.0940 (0.0945) loss_rec_sfr: 0.1136 (0.1413) loss_cl: -0.3680 (-0.3671) time: 0.8665 data: 0.0002 max mem: 29859 [14:47:01.618359] Epoch: [55] [740/850] eta: 0:01:35 lr: 0.002397 loss: 0.0620 (0.0588) loss_rec_all: 0.0974 (0.0946) loss_rec_sfr: 0.1084 (0.1412) loss_cl: -0.3674 (-0.3671) time: 0.8595 data: 0.0002 max mem: 29859 [14:47:18.859620] Epoch: [55] [760/850] eta: 0:01:18 lr: 0.002397 loss: 0.0661 (0.0590) loss_rec_all: 0.1013 (0.0947) loss_rec_sfr: 0.1668 (0.1419) loss_cl: -0.3658 (-0.3670) time: 0.8620 data: 0.0002 max mem: 29859 [14:47:36.121474] Epoch: [55] [780/850] eta: 0:01:00 lr: 0.002397 loss: 0.0635 (0.0592) loss_rec_all: 0.0993 (0.0949) loss_rec_sfr: 0.1583 (0.1422) loss_cl: -0.3662 (-0.3670) time: 0.8629 data: 0.0002 max mem: 29859 [14:47:53.383939] Epoch: [55] [800/850] eta: 0:00:43 lr: 0.002397 loss: 0.0584 (0.0593) loss_rec_all: 0.0942 (0.0950) loss_rec_sfr: 0.1234 (0.1422) loss_cl: -0.3675 (-0.3670) time: 0.8631 data: 0.0002 max mem: 29859 [14:48:10.594817] Epoch: [55] [820/850] eta: 0:00:26 lr: 0.002397 loss: 0.0576 (0.0592) loss_rec_all: 0.0935 (0.0950) loss_rec_sfr: 0.1239 (0.1420) loss_cl: -0.3675 (-0.3670) time: 0.8605 data: 0.0002 max mem: 29859 [14:48:27.890279] Epoch: [55] [840/850] eta: 0:00:08 lr: 0.002397 loss: 0.0570 (0.0592) loss_rec_all: 0.0930 (0.0950) loss_rec_sfr: 0.1161 (0.1417) loss_cl: -0.3680 (-0.3671) time: 0.8647 data: 0.0005 max mem: 29859 [14:48:35.629367] Epoch: [55] [849/850] eta: 0:00:00 lr: 0.002397 loss: 0.0586 (0.0593) loss_rec_all: 0.0942 (0.0950) loss_rec_sfr: 0.1161 (0.1417) loss_cl: -0.3677 (-0.3671) time: 0.8642 data: 0.0005 max mem: 29859 [14:48:35.794443] Epoch: [55] Total time: 0:12:17 (0.8679 s / it) [14:48:35.848803] Averaged stats: lr: 0.002397 loss: 0.0586 (0.0595) loss_rec_all: 0.0942 (0.0952) loss_rec_sfr: 0.1161 (0.1415) loss_cl: -0.3677 (-0.3670) [14:48:35.853991] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [14:48:40.164544] Epoch: [56] [ 0/850] eta: 1:01:02 lr: 0.002397 loss: 0.0555 (0.0555) loss_rec_all: 0.0910 (0.0910) loss_rec_sfr: 0.1796 (0.1796) loss_cl: -0.3676 (-0.3676) time: 4.3093 data: 3.4518 max mem: 29859 [14:48:57.321122] Epoch: [56] [ 20/850] eta: 0:14:08 lr: 0.002397 loss: 0.0590 (0.0622) loss_rec_all: 0.0948 (0.0979) loss_rec_sfr: 0.1203 (0.1364) loss_cl: -0.3667 (-0.3666) time: 0.8578 data: 0.0001 max mem: 29859 [14:49:14.552594] Epoch: [56] [ 40/850] eta: 0:12:44 lr: 0.002397 loss: 0.0596 (0.0632) loss_rec_all: 0.0949 (0.0989) loss_rec_sfr: 0.1147 (0.1390) loss_cl: -0.3663 (-0.3665) time: 0.8615 data: 0.0002 max mem: 29859 [14:49:31.775691] Epoch: [56] [ 60/850] eta: 0:12:04 lr: 0.002397 loss: 0.0602 (0.0624) loss_rec_all: 0.0959 (0.0981) loss_rec_sfr: 0.1477 (0.1407) loss_cl: -0.3672 (-0.3667) time: 0.8611 data: 0.0002 max mem: 29859 [14:49:48.994207] Epoch: [56] [ 80/850] eta: 0:11:35 lr: 0.002397 loss: 0.0581 (0.0622) loss_rec_all: 0.0942 (0.0979) loss_rec_sfr: 0.1044 (0.1370) loss_cl: -0.3684 (-0.3671) time: 0.8609 data: 0.0002 max mem: 29859 [14:50:06.183173] Epoch: [56] [100/850] eta: 0:11:10 lr: 0.002397 loss: 0.0572 (0.0616) loss_rec_all: 0.0927 (0.0974) loss_rec_sfr: 0.1153 (0.1358) loss_cl: -0.3678 (-0.3672) time: 0.8594 data: 0.0002 max mem: 29859 [14:50:23.472024] Epoch: [56] [120/850] eta: 0:10:49 lr: 0.002397 loss: 0.0563 (0.0611) loss_rec_all: 0.0921 (0.0968) loss_rec_sfr: 0.1565 (0.1385) loss_cl: -0.3668 (-0.3671) time: 0.8644 data: 0.0002 max mem: 29859 [14:50:40.659663] Epoch: [56] [140/850] eta: 0:10:28 lr: 0.002397 loss: 0.0560 (0.0604) loss_rec_all: 0.0915 (0.0961) loss_rec_sfr: 0.1146 (0.1376) loss_cl: -0.3669 (-0.3670) time: 0.8593 data: 0.0002 max mem: 29859 [14:50:57.910615] Epoch: [56] [160/850] eta: 0:10:08 lr: 0.002397 loss: 0.0538 (0.0597) loss_rec_all: 0.0898 (0.0954) loss_rec_sfr: 0.1117 (0.1365) loss_cl: -0.3665 (-0.3670) time: 0.8625 data: 0.0002 max mem: 29859 [14:51:15.250759] Epoch: [56] [180/850] eta: 0:09:49 lr: 0.002397 loss: 0.0542 (0.0592) loss_rec_all: 0.0898 (0.0950) loss_rec_sfr: 0.1314 (0.1360) loss_cl: -0.3666 (-0.3669) time: 0.8669 data: 0.0003 max mem: 29859 [14:51:32.476491] Epoch: [56] [200/850] eta: 0:09:31 lr: 0.002397 loss: 0.0570 (0.0590) loss_rec_all: 0.0925 (0.0948) loss_rec_sfr: 0.1379 (0.1361) loss_cl: -0.3670 (-0.3669) time: 0.8612 data: 0.0002 max mem: 29859 [14:51:49.675369] Epoch: [56] [220/850] eta: 0:09:12 lr: 0.002397 loss: 0.0570 (0.0590) loss_rec_all: 0.0929 (0.0947) loss_rec_sfr: 0.1151 (0.1360) loss_cl: -0.3670 (-0.3669) time: 0.8599 data: 0.0002 max mem: 29859 [14:52:07.052629] Epoch: [56] [240/850] eta: 0:08:54 lr: 0.002397 loss: 0.0593 (0.0592) loss_rec_all: 0.0951 (0.0949) loss_rec_sfr: 0.1583 (0.1376) loss_cl: -0.3674 (-0.3669) time: 0.8688 data: 0.0005 max mem: 29859 [14:52:24.236249] Epoch: [56] [260/850] eta: 0:08:36 lr: 0.002397 loss: 0.0567 (0.0591) loss_rec_all: 0.0926 (0.0948) loss_rec_sfr: 0.1178 (0.1372) loss_cl: -0.3675 (-0.3670) time: 0.8591 data: 0.0002 max mem: 29859 [14:52:41.468224] Epoch: [56] [280/850] eta: 0:08:18 lr: 0.002397 loss: 0.0556 (0.0589) loss_rec_all: 0.0912 (0.0946) loss_rec_sfr: 0.1183 (0.1376) loss_cl: -0.3669 (-0.3669) time: 0.8615 data: 0.0002 max mem: 29859 [14:52:58.740336] Epoch: [56] [300/850] eta: 0:08:00 lr: 0.002397 loss: 0.0544 (0.0586) loss_rec_all: 0.0901 (0.0944) loss_rec_sfr: 0.1206 (0.1375) loss_cl: -0.3669 (-0.3669) time: 0.8635 data: 0.0003 max mem: 29859 [14:53:15.957108] Epoch: [56] [320/850] eta: 0:07:42 lr: 0.002397 loss: 0.0555 (0.0585) loss_rec_all: 0.0912 (0.0943) loss_rec_sfr: 0.1140 (0.1370) loss_cl: -0.3666 (-0.3669) time: 0.8608 data: 0.0002 max mem: 29859 [14:53:33.153873] Epoch: [56] [340/850] eta: 0:07:24 lr: 0.002397 loss: 0.0551 (0.0584) loss_rec_all: 0.0910 (0.0941) loss_rec_sfr: 0.1188 (0.1363) loss_cl: -0.3668 (-0.3669) time: 0.8598 data: 0.0002 max mem: 29859 [14:53:50.457312] Epoch: [56] [360/850] eta: 0:07:06 lr: 0.002397 loss: 0.0559 (0.0584) loss_rec_all: 0.0919 (0.0941) loss_rec_sfr: 0.1491 (0.1366) loss_cl: -0.3672 (-0.3669) time: 0.8651 data: 0.0003 max mem: 29859 [14:54:07.640323] Epoch: [56] [380/850] eta: 0:06:49 lr: 0.002397 loss: 0.0593 (0.0585) loss_rec_all: 0.0948 (0.0942) loss_rec_sfr: 0.1484 (0.1378) loss_cl: -0.3669 (-0.3669) time: 0.8591 data: 0.0002 max mem: 29859 [14:54:24.874903] Epoch: [56] [400/850] eta: 0:06:31 lr: 0.002397 loss: 0.0557 (0.0584) loss_rec_all: 0.0915 (0.0942) loss_rec_sfr: 0.1444 (0.1380) loss_cl: -0.3670 (-0.3669) time: 0.8617 data: 0.0002 max mem: 29859 [14:54:42.127491] Epoch: [56] [420/850] eta: 0:06:14 lr: 0.002397 loss: 0.0571 (0.0584) loss_rec_all: 0.0925 (0.0942) loss_rec_sfr: 0.1451 (0.1384) loss_cl: -0.3674 (-0.3670) time: 0.8626 data: 0.0002 max mem: 29859 [14:54:59.390133] Epoch: [56] [440/850] eta: 0:05:56 lr: 0.002397 loss: 0.0572 (0.0584) loss_rec_all: 0.0931 (0.0941) loss_rec_sfr: 0.1149 (0.1383) loss_cl: -0.3671 (-0.3670) time: 0.8631 data: 0.0002 max mem: 29859 [14:55:16.589880] Epoch: [56] [460/850] eta: 0:05:38 lr: 0.002397 loss: 0.0563 (0.0584) loss_rec_all: 0.0919 (0.0941) loss_rec_sfr: 0.1288 (0.1382) loss_cl: -0.3678 (-0.3670) time: 0.8599 data: 0.0002 max mem: 29859 [14:55:33.888572] Epoch: [56] [480/850] eta: 0:05:21 lr: 0.002397 loss: 0.0572 (0.0584) loss_rec_all: 0.0932 (0.0941) loss_rec_sfr: 0.1630 (0.1389) loss_cl: -0.3670 (-0.3670) time: 0.8649 data: 0.0003 max mem: 29859 [14:55:51.079558] Epoch: [56] [500/850] eta: 0:05:04 lr: 0.002397 loss: 0.0566 (0.0584) loss_rec_all: 0.0923 (0.0942) loss_rec_sfr: 0.1079 (0.1383) loss_cl: -0.3661 (-0.3670) time: 0.8595 data: 0.0002 max mem: 29859 [14:56:08.323137] Epoch: [56] [520/850] eta: 0:04:46 lr: 0.002397 loss: 0.0565 (0.0584) loss_rec_all: 0.0925 (0.0941) loss_rec_sfr: 0.1103 (0.1381) loss_cl: -0.3662 (-0.3669) time: 0.8621 data: 0.0002 max mem: 29859 [14:56:25.583861] Epoch: [56] [540/850] eta: 0:04:29 lr: 0.002397 loss: 0.0546 (0.0583) loss_rec_all: 0.0906 (0.0941) loss_rec_sfr: 0.1145 (0.1377) loss_cl: -0.3669 (-0.3669) time: 0.8630 data: 0.0003 max mem: 29859 [14:56:42.826364] Epoch: [56] [560/850] eta: 0:04:11 lr: 0.002397 loss: 0.0555 (0.0583) loss_rec_all: 0.0910 (0.0940) loss_rec_sfr: 0.1444 (0.1378) loss_cl: -0.3669 (-0.3669) time: 0.8621 data: 0.0002 max mem: 29859 [14:57:00.024023] Epoch: [56] [580/850] eta: 0:03:54 lr: 0.002397 loss: 0.0551 (0.0583) loss_rec_all: 0.0906 (0.0940) loss_rec_sfr: 0.1433 (0.1378) loss_cl: -0.3678 (-0.3669) time: 0.8598 data: 0.0002 max mem: 29859 [14:57:17.324502] Epoch: [56] [600/850] eta: 0:03:36 lr: 0.002397 loss: 0.0579 (0.0583) loss_rec_all: 0.0939 (0.0941) loss_rec_sfr: 0.1306 (0.1375) loss_cl: -0.3680 (-0.3670) time: 0.8650 data: 0.0003 max mem: 29859 [14:57:34.530111] Epoch: [56] [620/850] eta: 0:03:19 lr: 0.002397 loss: 0.0584 (0.0583) loss_rec_all: 0.0938 (0.0941) loss_rec_sfr: 0.1541 (0.1378) loss_cl: -0.3674 (-0.3670) time: 0.8602 data: 0.0002 max mem: 29859 [14:57:51.762197] Epoch: [56] [640/850] eta: 0:03:02 lr: 0.002397 loss: 0.0564 (0.0584) loss_rec_all: 0.0922 (0.0941) loss_rec_sfr: 0.1266 (0.1377) loss_cl: -0.3670 (-0.3670) time: 0.8615 data: 0.0002 max mem: 29859 [14:58:09.044837] Epoch: [56] [660/850] eta: 0:02:44 lr: 0.002397 loss: 0.0583 (0.0584) loss_rec_all: 0.0936 (0.0941) loss_rec_sfr: 0.1743 (0.1386) loss_cl: -0.3666 (-0.3670) time: 0.8641 data: 0.0002 max mem: 29859 [14:58:26.281308] Epoch: [56] [680/850] eta: 0:02:27 lr: 0.002397 loss: 0.0581 (0.0584) loss_rec_all: 0.0939 (0.0942) loss_rec_sfr: 0.1395 (0.1388) loss_cl: -0.3669 (-0.3670) time: 0.8618 data: 0.0002 max mem: 29859 [14:58:43.476410] Epoch: [56] [700/850] eta: 0:02:10 lr: 0.002397 loss: 0.0604 (0.0585) loss_rec_all: 0.0957 (0.0942) loss_rec_sfr: 0.1454 (0.1391) loss_cl: -0.3667 (-0.3670) time: 0.8597 data: 0.0002 max mem: 29859 [14:59:00.830719] Epoch: [56] [720/850] eta: 0:01:52 lr: 0.002397 loss: 0.0547 (0.0585) loss_rec_all: 0.0905 (0.0942) loss_rec_sfr: 0.1117 (0.1390) loss_cl: -0.3672 (-0.3670) time: 0.8677 data: 0.0003 max mem: 29859 [14:59:18.028583] Epoch: [56] [740/850] eta: 0:01:35 lr: 0.002397 loss: 0.0571 (0.0585) loss_rec_all: 0.0928 (0.0942) loss_rec_sfr: 0.1450 (0.1392) loss_cl: -0.3676 (-0.3670) time: 0.8598 data: 0.0002 max mem: 29859 [14:59:35.259925] Epoch: [56] [760/850] eta: 0:01:17 lr: 0.002397 loss: 0.0569 (0.0585) loss_rec_all: 0.0927 (0.0942) loss_rec_sfr: 0.1086 (0.1389) loss_cl: -0.3675 (-0.3670) time: 0.8614 data: 0.0002 max mem: 29859 [14:59:52.583468] Epoch: [56] [780/850] eta: 0:01:00 lr: 0.002397 loss: 0.0550 (0.0584) loss_rec_all: 0.0909 (0.0942) loss_rec_sfr: 0.1109 (0.1385) loss_cl: -0.3668 (-0.3670) time: 0.8661 data: 0.0003 max mem: 29859 [15:00:09.810665] Epoch: [56] [800/850] eta: 0:00:43 lr: 0.002397 loss: 0.0548 (0.0584) loss_rec_all: 0.0907 (0.0941) loss_rec_sfr: 0.1146 (0.1383) loss_cl: -0.3662 (-0.3670) time: 0.8613 data: 0.0002 max mem: 29859 [15:00:26.998807] Epoch: [56] [820/850] eta: 0:00:25 lr: 0.002397 loss: 0.0564 (0.0584) loss_rec_all: 0.0917 (0.0941) loss_rec_sfr: 0.1438 (0.1385) loss_cl: -0.3664 (-0.3669) time: 0.8593 data: 0.0002 max mem: 29859 [15:00:44.372314] Epoch: [56] [840/850] eta: 0:00:08 lr: 0.002397 loss: 0.0591 (0.0584) loss_rec_all: 0.0944 (0.0941) loss_rec_sfr: 0.1854 (0.1391) loss_cl: -0.3673 (-0.3670) time: 0.8686 data: 0.0006 max mem: 29859 [15:00:52.107412] Epoch: [56] [849/850] eta: 0:00:00 lr: 0.002397 loss: 0.0588 (0.0584) loss_rec_all: 0.0948 (0.0941) loss_rec_sfr: 0.1770 (0.1390) loss_cl: -0.3670 (-0.3670) time: 0.8659 data: 0.0006 max mem: 29859 [15:00:52.254734] Epoch: [56] Total time: 0:12:16 (0.8664 s / it) [15:00:52.300327] Averaged stats: lr: 0.002397 loss: 0.0588 (0.0582) loss_rec_all: 0.0948 (0.0939) loss_rec_sfr: 0.1770 (0.1382) loss_cl: -0.3670 (-0.3670) [15:00:52.305516] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [15:00:56.350038] Epoch: [57] [ 0/850] eta: 0:57:17 lr: 0.002397 loss: 0.0634 (0.0634) loss_rec_all: 0.0990 (0.0990) loss_rec_sfr: 0.1421 (0.1421) loss_cl: -0.3663 (-0.3663) time: 4.0438 data: 3.1226 max mem: 29859 [15:01:13.511809] Epoch: [57] [ 20/850] eta: 0:13:58 lr: 0.002397 loss: 0.0552 (0.0569) loss_rec_all: 0.0911 (0.0926) loss_rec_sfr: 0.1249 (0.1323) loss_cl: -0.3663 (-0.3663) time: 0.8580 data: 0.0001 max mem: 29859 [15:01:30.808753] Epoch: [57] [ 40/850] eta: 0:12:40 lr: 0.002397 loss: 0.0568 (0.0570) loss_rec_all: 0.0922 (0.0927) loss_rec_sfr: 0.1460 (0.1407) loss_cl: -0.3674 (-0.3667) time: 0.8648 data: 0.0003 max mem: 29859 [15:01:48.019174] Epoch: [57] [ 60/850] eta: 0:12:01 lr: 0.002397 loss: 0.0548 (0.0568) loss_rec_all: 0.0905 (0.0925) loss_rec_sfr: 0.1425 (0.1406) loss_cl: -0.3680 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [15:02:05.248693] Epoch: [57] [ 80/850] eta: 0:11:33 lr: 0.002397 loss: 0.0567 (0.0570) loss_rec_all: 0.0925 (0.0927) loss_rec_sfr: 0.1554 (0.1411) loss_cl: -0.3678 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [15:02:22.483504] Epoch: [57] [100/850] eta: 0:11:09 lr: 0.002397 loss: 0.0565 (0.0570) loss_rec_all: 0.0925 (0.0928) loss_rec_sfr: 0.1147 (0.1388) loss_cl: -0.3673 (-0.3673) time: 0.8617 data: 0.0003 max mem: 29859 [15:02:39.733631] Epoch: [57] [120/850] eta: 0:10:48 lr: 0.002397 loss: 0.0559 (0.0570) loss_rec_all: 0.0919 (0.0928) loss_rec_sfr: 0.1104 (0.1363) loss_cl: -0.3671 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [15:02:56.923796] Epoch: [57] [140/850] eta: 0:10:27 lr: 0.002397 loss: 0.0545 (0.0570) loss_rec_all: 0.0900 (0.0928) loss_rec_sfr: 0.1153 (0.1362) loss_cl: -0.3673 (-0.3673) time: 0.8594 data: 0.0002 max mem: 29859 [15:03:14.203986] Epoch: [57] [160/850] eta: 0:10:08 lr: 0.002397 loss: 0.0571 (0.0572) loss_rec_all: 0.0930 (0.0930) loss_rec_sfr: 0.1451 (0.1363) loss_cl: -0.3667 (-0.3672) time: 0.8639 data: 0.0003 max mem: 29859 [15:03:31.450595] Epoch: [57] [180/850] eta: 0:09:49 lr: 0.002397 loss: 0.0577 (0.0580) loss_rec_all: 0.0936 (0.0938) loss_rec_sfr: 0.1200 (0.1371) loss_cl: -0.3664 (-0.3671) time: 0.8623 data: 0.0002 max mem: 29859 [15:03:48.692115] Epoch: [57] [200/850] eta: 0:09:30 lr: 0.002397 loss: 0.0589 (0.0583) loss_rec_all: 0.0944 (0.0941) loss_rec_sfr: 0.1155 (0.1366) loss_cl: -0.3667 (-0.3671) time: 0.8620 data: 0.0002 max mem: 29859 [15:04:05.911530] Epoch: [57] [220/850] eta: 0:09:11 lr: 0.002397 loss: 0.0558 (0.0582) loss_rec_all: 0.0912 (0.0939) loss_rec_sfr: 0.1413 (0.1369) loss_cl: -0.3672 (-0.3671) time: 0.8609 data: 0.0002 max mem: 29859 [15:04:23.211671] Epoch: [57] [240/850] eta: 0:08:53 lr: 0.002397 loss: 0.0563 (0.0581) loss_rec_all: 0.0920 (0.0938) loss_rec_sfr: 0.1136 (0.1363) loss_cl: -0.3672 (-0.3671) time: 0.8650 data: 0.0002 max mem: 29859 [15:04:40.418435] Epoch: [57] [260/850] eta: 0:08:35 lr: 0.002397 loss: 0.0575 (0.0582) loss_rec_all: 0.0936 (0.0940) loss_rec_sfr: 0.1470 (0.1367) loss_cl: -0.3675 (-0.3671) time: 0.8603 data: 0.0002 max mem: 29859 [15:04:57.678735] Epoch: [57] [280/850] eta: 0:08:17 lr: 0.002397 loss: 0.0564 (0.0581) loss_rec_all: 0.0922 (0.0939) loss_rec_sfr: 0.1554 (0.1376) loss_cl: -0.3679 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [15:05:14.927940] Epoch: [57] [300/850] eta: 0:07:59 lr: 0.002397 loss: 0.0536 (0.0579) loss_rec_all: 0.0895 (0.0937) loss_rec_sfr: 0.1443 (0.1381) loss_cl: -0.3670 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [15:05:32.167984] Epoch: [57] [320/850] eta: 0:07:42 lr: 0.002397 loss: 0.0532 (0.0578) loss_rec_all: 0.0892 (0.0935) loss_rec_sfr: 0.0981 (0.1371) loss_cl: -0.3664 (-0.3671) time: 0.8620 data: 0.0002 max mem: 29859 [15:05:49.367293] Epoch: [57] [340/850] eta: 0:07:24 lr: 0.002397 loss: 0.0539 (0.0577) loss_rec_all: 0.0899 (0.0934) loss_rec_sfr: 0.1459 (0.1377) loss_cl: -0.3666 (-0.3671) time: 0.8599 data: 0.0002 max mem: 29859 [15:06:06.667333] Epoch: [57] [360/850] eta: 0:07:06 lr: 0.002397 loss: 0.0558 (0.0576) loss_rec_all: 0.0912 (0.0934) loss_rec_sfr: 0.1124 (0.1374) loss_cl: -0.3668 (-0.3670) time: 0.8649 data: 0.0002 max mem: 29859 [15:06:23.860012] Epoch: [57] [380/850] eta: 0:06:48 lr: 0.002397 loss: 0.0569 (0.0577) loss_rec_all: 0.0925 (0.0934) loss_rec_sfr: 0.1094 (0.1373) loss_cl: -0.3669 (-0.3670) time: 0.8596 data: 0.0002 max mem: 29859 [15:06:41.110362] Epoch: [57] [400/850] eta: 0:06:31 lr: 0.002397 loss: 0.0590 (0.0579) loss_rec_all: 0.0949 (0.0936) loss_rec_sfr: 0.1461 (0.1375) loss_cl: -0.3672 (-0.3670) time: 0.8625 data: 0.0002 max mem: 29859 [15:06:58.401049] Epoch: [57] [420/850] eta: 0:06:13 lr: 0.002397 loss: 0.0584 (0.0579) loss_rec_all: 0.0942 (0.0937) loss_rec_sfr: 0.1459 (0.1380) loss_cl: -0.3673 (-0.3671) time: 0.8645 data: 0.0002 max mem: 29859 [15:07:15.632595] Epoch: [57] [440/850] eta: 0:05:56 lr: 0.002397 loss: 0.0555 (0.0579) loss_rec_all: 0.0917 (0.0936) loss_rec_sfr: 0.1031 (0.1370) loss_cl: -0.3673 (-0.3671) time: 0.8615 data: 0.0002 max mem: 29859 [15:07:32.833136] Epoch: [57] [460/850] eta: 0:05:38 lr: 0.002397 loss: 0.0551 (0.0578) loss_rec_all: 0.0910 (0.0935) loss_rec_sfr: 0.1563 (0.1371) loss_cl: -0.3668 (-0.3670) time: 0.8600 data: 0.0002 max mem: 29859 [15:07:50.146698] Epoch: [57] [480/850] eta: 0:05:21 lr: 0.002397 loss: 0.0537 (0.0577) loss_rec_all: 0.0897 (0.0934) loss_rec_sfr: 0.1111 (0.1369) loss_cl: -0.3669 (-0.3670) time: 0.8656 data: 0.0002 max mem: 29859 [15:08:07.339397] Epoch: [57] [500/850] eta: 0:05:03 lr: 0.002397 loss: 0.0571 (0.0578) loss_rec_all: 0.0927 (0.0935) loss_rec_sfr: 0.1492 (0.1369) loss_cl: -0.3676 (-0.3671) time: 0.8596 data: 0.0002 max mem: 29859 [15:08:24.585158] Epoch: [57] [520/850] eta: 0:04:46 lr: 0.002397 loss: 0.0596 (0.0579) loss_rec_all: 0.0955 (0.0936) loss_rec_sfr: 0.1230 (0.1370) loss_cl: -0.3681 (-0.3671) time: 0.8622 data: 0.0002 max mem: 29859 [15:08:41.851003] Epoch: [57] [540/850] eta: 0:04:29 lr: 0.002397 loss: 0.0553 (0.0578) loss_rec_all: 0.0914 (0.0936) loss_rec_sfr: 0.1217 (0.1370) loss_cl: -0.3683 (-0.3671) time: 0.8632 data: 0.0002 max mem: 29859 [15:08:59.083202] Epoch: [57] [560/850] eta: 0:04:11 lr: 0.002397 loss: 0.0588 (0.0579) loss_rec_all: 0.0941 (0.0937) loss_rec_sfr: 0.1495 (0.1374) loss_cl: -0.3674 (-0.3671) time: 0.8616 data: 0.0002 max mem: 29859 [15:09:16.287381] Epoch: [57] [580/850] eta: 0:03:54 lr: 0.002397 loss: 0.0555 (0.0579) loss_rec_all: 0.0913 (0.0937) loss_rec_sfr: 0.1091 (0.1372) loss_cl: -0.3663 (-0.3671) time: 0.8602 data: 0.0002 max mem: 29859 [15:09:33.593974] Epoch: [57] [600/850] eta: 0:03:36 lr: 0.002397 loss: 0.0550 (0.0579) loss_rec_all: 0.0904 (0.0936) loss_rec_sfr: 0.1281 (0.1369) loss_cl: -0.3670 (-0.3671) time: 0.8653 data: 0.0002 max mem: 29859 [15:09:50.798005] Epoch: [57] [620/850] eta: 0:03:19 lr: 0.002397 loss: 0.0541 (0.0578) loss_rec_all: 0.0895 (0.0936) loss_rec_sfr: 0.1097 (0.1366) loss_cl: -0.3669 (-0.3671) time: 0.8602 data: 0.0002 max mem: 29859 [15:10:08.032075] Epoch: [57] [640/850] eta: 0:03:02 lr: 0.002397 loss: 0.0546 (0.0578) loss_rec_all: 0.0900 (0.0935) loss_rec_sfr: 0.1474 (0.1368) loss_cl: -0.3666 (-0.3671) time: 0.8616 data: 0.0002 max mem: 29859 [15:10:25.295900] Epoch: [57] [660/850] eta: 0:02:44 lr: 0.002397 loss: 0.0558 (0.0578) loss_rec_all: 0.0919 (0.0935) loss_rec_sfr: 0.1118 (0.1366) loss_cl: -0.3674 (-0.3671) time: 0.8631 data: 0.0003 max mem: 29859 [15:10:42.563500] Epoch: [57] [680/850] eta: 0:02:27 lr: 0.002397 loss: 0.0559 (0.0577) loss_rec_all: 0.0919 (0.0935) loss_rec_sfr: 0.1073 (0.1364) loss_cl: -0.3676 (-0.3671) time: 0.8633 data: 0.0002 max mem: 29859 [15:10:59.750829] Epoch: [57] [700/850] eta: 0:02:09 lr: 0.002397 loss: 0.0575 (0.0577) loss_rec_all: 0.0935 (0.0935) loss_rec_sfr: 0.1017 (0.1363) loss_cl: -0.3676 (-0.3671) time: 0.8593 data: 0.0002 max mem: 29859 [15:11:17.046349] Epoch: [57] [720/850] eta: 0:01:52 lr: 0.002397 loss: 0.0572 (0.0578) loss_rec_all: 0.0931 (0.0935) loss_rec_sfr: 0.1431 (0.1363) loss_cl: -0.3675 (-0.3671) time: 0.8647 data: 0.0002 max mem: 29859 [15:11:34.290324] Epoch: [57] [740/850] eta: 0:01:35 lr: 0.002397 loss: 0.0567 (0.0578) loss_rec_all: 0.0921 (0.0935) loss_rec_sfr: 0.1507 (0.1366) loss_cl: -0.3669 (-0.3671) time: 0.8621 data: 0.0002 max mem: 29859 [15:11:51.522342] Epoch: [57] [760/850] eta: 0:01:17 lr: 0.002397 loss: 0.0547 (0.0577) loss_rec_all: 0.0901 (0.0935) loss_rec_sfr: 0.1102 (0.1364) loss_cl: -0.3670 (-0.3671) time: 0.8616 data: 0.0002 max mem: 29859 [15:12:08.768576] Epoch: [57] [780/850] eta: 0:01:00 lr: 0.002397 loss: 0.0540 (0.0577) loss_rec_all: 0.0899 (0.0935) loss_rec_sfr: 0.1099 (0.1361) loss_cl: -0.3672 (-0.3671) time: 0.8622 data: 0.0002 max mem: 29859 [15:12:26.063606] Epoch: [57] [800/850] eta: 0:00:43 lr: 0.002397 loss: 0.0562 (0.0577) loss_rec_all: 0.0921 (0.0935) loss_rec_sfr: 0.1044 (0.1360) loss_cl: -0.3667 (-0.3671) time: 0.8647 data: 0.0003 max mem: 29859 [15:12:43.253998] Epoch: [57] [820/850] eta: 0:00:25 lr: 0.002397 loss: 0.0554 (0.0577) loss_rec_all: 0.0914 (0.0935) loss_rec_sfr: 0.1030 (0.1355) loss_cl: -0.3670 (-0.3671) time: 0.8595 data: 0.0002 max mem: 29859 [15:13:00.571946] Epoch: [57] [840/850] eta: 0:00:08 lr: 0.002397 loss: 0.0567 (0.0577) loss_rec_all: 0.0921 (0.0935) loss_rec_sfr: 0.1464 (0.1356) loss_cl: -0.3671 (-0.3671) time: 0.8658 data: 0.0006 max mem: 29859 [15:13:08.347252] Epoch: [57] [849/850] eta: 0:00:00 lr: 0.002397 loss: 0.0533 (0.0577) loss_rec_all: 0.0890 (0.0935) loss_rec_sfr: 0.1152 (0.1355) loss_cl: -0.3671 (-0.3671) time: 0.8676 data: 0.0005 max mem: 29859 [15:13:08.527869] Epoch: [57] Total time: 0:12:16 (0.8661 s / it) [15:13:08.531318] Averaged stats: lr: 0.002397 loss: 0.0533 (0.0576) loss_rec_all: 0.0890 (0.0934) loss_rec_sfr: 0.1152 (0.1361) loss_cl: -0.3671 (-0.3670) [15:13:08.544191] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [15:13:12.753756] Epoch: [58] [ 0/850] eta: 0:59:37 lr: 0.002397 loss: 0.0520 (0.0520) loss_rec_all: 0.0881 (0.0881) loss_rec_sfr: 0.0848 (0.0848) loss_cl: -0.3672 (-0.3672) time: 4.2088 data: 3.2393 max mem: 29859 [15:13:29.911826] Epoch: [58] [ 20/850] eta: 0:14:04 lr: 0.002397 loss: 0.0559 (0.0565) loss_rec_all: 0.0915 (0.0923) loss_rec_sfr: 0.1460 (0.1324) loss_cl: -0.3671 (-0.3671) time: 0.8579 data: 0.0001 max mem: 29859 [15:13:47.158499] Epoch: [58] [ 40/850] eta: 0:12:42 lr: 0.002397 loss: 0.0538 (0.0568) loss_rec_all: 0.0895 (0.0926) loss_rec_sfr: 0.1002 (0.1290) loss_cl: -0.3673 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [15:14:04.427333] Epoch: [58] [ 60/850] eta: 0:12:03 lr: 0.002397 loss: 0.0557 (0.0571) loss_rec_all: 0.0911 (0.0929) loss_rec_sfr: 0.1473 (0.1341) loss_cl: -0.3671 (-0.3671) time: 0.8634 data: 0.0002 max mem: 29859 [15:14:21.656892] Epoch: [58] [ 80/850] eta: 0:11:34 lr: 0.002397 loss: 0.0544 (0.0568) loss_rec_all: 0.0905 (0.0926) loss_rec_sfr: 0.1146 (0.1319) loss_cl: -0.3673 (-0.3672) time: 0.8614 data: 0.0002 max mem: 29859 [15:14:38.859099] Epoch: [58] [100/850] eta: 0:11:10 lr: 0.002397 loss: 0.0549 (0.0566) loss_rec_all: 0.0907 (0.0924) loss_rec_sfr: 0.0999 (0.1310) loss_cl: -0.3672 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [15:14:56.153882] Epoch: [58] [120/850] eta: 0:10:49 lr: 0.002397 loss: 0.0555 (0.0566) loss_rec_all: 0.0910 (0.0924) loss_rec_sfr: 0.1526 (0.1337) loss_cl: -0.3673 (-0.3672) time: 0.8647 data: 0.0002 max mem: 29859 [15:15:13.352733] Epoch: [58] [140/850] eta: 0:10:28 lr: 0.002397 loss: 0.0537 (0.0567) loss_rec_all: 0.0894 (0.0925) loss_rec_sfr: 0.1301 (0.1332) loss_cl: -0.3669 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [15:15:30.593219] Epoch: [58] [160/850] eta: 0:10:08 lr: 0.002397 loss: 0.0536 (0.0564) loss_rec_all: 0.0895 (0.0922) loss_rec_sfr: 0.1002 (0.1314) loss_cl: -0.3669 (-0.3671) time: 0.8620 data: 0.0002 max mem: 29859 [15:15:47.857092] Epoch: [58] [180/850] eta: 0:09:49 lr: 0.002397 loss: 0.0561 (0.0564) loss_rec_all: 0.0916 (0.0921) loss_rec_sfr: 0.1449 (0.1328) loss_cl: -0.3675 (-0.3671) time: 0.8631 data: 0.0003 max mem: 29859 [15:16:05.091432] Epoch: [58] [200/850] eta: 0:09:30 lr: 0.002397 loss: 0.0525 (0.0561) loss_rec_all: 0.0880 (0.0919) loss_rec_sfr: 0.1210 (0.1329) loss_cl: -0.3672 (-0.3671) time: 0.8617 data: 0.0002 max mem: 29859 [15:16:22.283157] Epoch: [58] [220/850] eta: 0:09:12 lr: 0.002397 loss: 0.0546 (0.0562) loss_rec_all: 0.0901 (0.0919) loss_rec_sfr: 0.1478 (0.1341) loss_cl: -0.3670 (-0.3671) time: 0.8595 data: 0.0002 max mem: 29859 [15:16:39.615514] Epoch: [58] [240/850] eta: 0:08:54 lr: 0.002397 loss: 0.0546 (0.0562) loss_rec_all: 0.0903 (0.0919) loss_rec_sfr: 0.1556 (0.1353) loss_cl: -0.3666 (-0.3671) time: 0.8666 data: 0.0002 max mem: 29859 [15:16:56.818134] Epoch: [58] [260/850] eta: 0:08:35 lr: 0.002397 loss: 0.0543 (0.0561) loss_rec_all: 0.0897 (0.0918) loss_rec_sfr: 0.1534 (0.1358) loss_cl: -0.3663 (-0.3670) time: 0.8601 data: 0.0002 max mem: 29859 [15:17:14.046511] Epoch: [58] [280/850] eta: 0:08:17 lr: 0.002397 loss: 0.0545 (0.0560) loss_rec_all: 0.0899 (0.0917) loss_rec_sfr: 0.1579 (0.1367) loss_cl: -0.3664 (-0.3669) time: 0.8614 data: 0.0002 max mem: 29859 [15:17:31.334647] Epoch: [58] [300/850] eta: 0:08:00 lr: 0.002397 loss: 0.0540 (0.0559) loss_rec_all: 0.0896 (0.0916) loss_rec_sfr: 0.1487 (0.1373) loss_cl: -0.3671 (-0.3669) time: 0.8643 data: 0.0003 max mem: 29859 [15:17:48.561907] Epoch: [58] [320/850] eta: 0:07:42 lr: 0.002397 loss: 0.0517 (0.0557) loss_rec_all: 0.0877 (0.0915) loss_rec_sfr: 0.1119 (0.1369) loss_cl: -0.3674 (-0.3670) time: 0.8613 data: 0.0002 max mem: 29859 [15:18:05.750598] Epoch: [58] [340/850] eta: 0:07:24 lr: 0.002397 loss: 0.0563 (0.0560) loss_rec_all: 0.0921 (0.0917) loss_rec_sfr: 0.1361 (0.1368) loss_cl: -0.3673 (-0.3670) time: 0.8594 data: 0.0002 max mem: 29859 [15:18:23.105712] Epoch: [58] [360/850] eta: 0:07:06 lr: 0.002397 loss: 0.0615 (0.0564) loss_rec_all: 0.0971 (0.0921) loss_rec_sfr: 0.1298 (0.1372) loss_cl: -0.3678 (-0.3670) time: 0.8677 data: 0.0003 max mem: 29859 [15:18:40.302850] Epoch: [58] [380/850] eta: 0:06:49 lr: 0.002397 loss: 0.0623 (0.0568) loss_rec_all: 0.0977 (0.0925) loss_rec_sfr: 0.1605 (0.1380) loss_cl: -0.3664 (-0.3670) time: 0.8598 data: 0.0002 max mem: 29859 [15:18:57.544853] Epoch: [58] [400/850] eta: 0:06:31 lr: 0.002397 loss: 0.0576 (0.0569) loss_rec_all: 0.0929 (0.0926) loss_rec_sfr: 0.1345 (0.1381) loss_cl: -0.3661 (-0.3669) time: 0.8621 data: 0.0002 max mem: 29859 [15:19:14.799226] Epoch: [58] [420/850] eta: 0:06:14 lr: 0.002396 loss: 0.0569 (0.0569) loss_rec_all: 0.0925 (0.0927) loss_rec_sfr: 0.1588 (0.1387) loss_cl: -0.3675 (-0.3670) time: 0.8627 data: 0.0002 max mem: 29859 [15:19:32.053847] Epoch: [58] [440/850] eta: 0:05:56 lr: 0.002396 loss: 0.0574 (0.0571) loss_rec_all: 0.0928 (0.0928) loss_rec_sfr: 0.1499 (0.1389) loss_cl: -0.3676 (-0.3670) time: 0.8627 data: 0.0002 max mem: 29859 [15:19:49.249349] Epoch: [58] [460/850] eta: 0:05:38 lr: 0.002396 loss: 0.0532 (0.0570) loss_rec_all: 0.0891 (0.0927) loss_rec_sfr: 0.1523 (0.1390) loss_cl: -0.3673 (-0.3670) time: 0.8597 data: 0.0002 max mem: 29859 [15:20:06.528291] Epoch: [58] [480/850] eta: 0:05:21 lr: 0.002396 loss: 0.0541 (0.0569) loss_rec_all: 0.0897 (0.0927) loss_rec_sfr: 0.1386 (0.1385) loss_cl: -0.3672 (-0.3670) time: 0.8639 data: 0.0002 max mem: 29859 [15:20:23.726277] Epoch: [58] [500/850] eta: 0:05:04 lr: 0.002396 loss: 0.0544 (0.0569) loss_rec_all: 0.0905 (0.0926) loss_rec_sfr: 0.1409 (0.1386) loss_cl: -0.3677 (-0.3670) time: 0.8599 data: 0.0002 max mem: 29859 [15:20:40.958841] Epoch: [58] [520/850] eta: 0:04:46 lr: 0.002396 loss: 0.0520 (0.0568) loss_rec_all: 0.0877 (0.0925) loss_rec_sfr: 0.0966 (0.1377) loss_cl: -0.3676 (-0.3671) time: 0.8616 data: 0.0002 max mem: 29859 [15:20:58.210499] Epoch: [58] [540/850] eta: 0:04:29 lr: 0.002396 loss: 0.0526 (0.0566) loss_rec_all: 0.0885 (0.0924) loss_rec_sfr: 0.1050 (0.1373) loss_cl: -0.3668 (-0.3671) time: 0.8625 data: 0.0002 max mem: 29859 [15:21:15.465841] Epoch: [58] [560/850] eta: 0:04:11 lr: 0.002396 loss: 0.0577 (0.0568) loss_rec_all: 0.0936 (0.0925) loss_rec_sfr: 0.1480 (0.1378) loss_cl: -0.3658 (-0.3670) time: 0.8626 data: 0.0002 max mem: 29859 [15:21:32.650229] Epoch: [58] [580/850] eta: 0:03:54 lr: 0.002396 loss: 0.0575 (0.0568) loss_rec_all: 0.0932 (0.0926) loss_rec_sfr: 0.1452 (0.1383) loss_cl: -0.3662 (-0.3670) time: 0.8592 data: 0.0002 max mem: 29859 [15:21:49.925923] Epoch: [58] [600/850] eta: 0:03:36 lr: 0.002396 loss: 0.0557 (0.0569) loss_rec_all: 0.0917 (0.0926) loss_rec_sfr: 0.1177 (0.1382) loss_cl: -0.3670 (-0.3670) time: 0.8637 data: 0.0002 max mem: 29859 [15:22:07.134660] Epoch: [58] [620/850] eta: 0:03:19 lr: 0.002396 loss: 0.0586 (0.0570) loss_rec_all: 0.0942 (0.0927) loss_rec_sfr: 0.1172 (0.1382) loss_cl: -0.3679 (-0.3670) time: 0.8604 data: 0.0002 max mem: 29859 [15:22:24.354894] Epoch: [58] [640/850] eta: 0:03:02 lr: 0.002396 loss: 0.0590 (0.0571) loss_rec_all: 0.0946 (0.0928) loss_rec_sfr: 0.1551 (0.1386) loss_cl: -0.3673 (-0.3670) time: 0.8609 data: 0.0001 max mem: 29859 [15:22:41.602220] Epoch: [58] [660/850] eta: 0:02:44 lr: 0.002396 loss: 0.0566 (0.0571) loss_rec_all: 0.0920 (0.0928) loss_rec_sfr: 0.1415 (0.1386) loss_cl: -0.3659 (-0.3670) time: 0.8623 data: 0.0002 max mem: 29859 [15:22:58.871955] Epoch: [58] [680/850] eta: 0:02:27 lr: 0.002396 loss: 0.0533 (0.0570) loss_rec_all: 0.0887 (0.0927) loss_rec_sfr: 0.1116 (0.1381) loss_cl: -0.3663 (-0.3670) time: 0.8634 data: 0.0002 max mem: 29859 [15:23:16.051958] Epoch: [58] [700/850] eta: 0:02:09 lr: 0.002396 loss: 0.0532 (0.0569) loss_rec_all: 0.0887 (0.0927) loss_rec_sfr: 0.1483 (0.1381) loss_cl: -0.3672 (-0.3670) time: 0.8590 data: 0.0002 max mem: 29859 [15:23:33.346093] Epoch: [58] [720/850] eta: 0:01:52 lr: 0.002396 loss: 0.0565 (0.0570) loss_rec_all: 0.0926 (0.0927) loss_rec_sfr: 0.1121 (0.1379) loss_cl: -0.3679 (-0.3670) time: 0.8646 data: 0.0003 max mem: 29859 [15:23:50.582247] Epoch: [58] [740/850] eta: 0:01:35 lr: 0.002396 loss: 0.0540 (0.0569) loss_rec_all: 0.0903 (0.0927) loss_rec_sfr: 0.1137 (0.1376) loss_cl: -0.3682 (-0.3670) time: 0.8618 data: 0.0002 max mem: 29859 [15:24:07.803671] Epoch: [58] [760/850] eta: 0:01:17 lr: 0.002396 loss: 0.0546 (0.0569) loss_rec_all: 0.0906 (0.0927) loss_rec_sfr: 0.1414 (0.1376) loss_cl: -0.3681 (-0.3671) time: 0.8610 data: 0.0002 max mem: 29859 [15:24:25.018772] Epoch: [58] [780/850] eta: 0:01:00 lr: 0.002396 loss: 0.0565 (0.0570) loss_rec_all: 0.0922 (0.0927) loss_rec_sfr: 0.1304 (0.1375) loss_cl: -0.3672 (-0.3671) time: 0.8607 data: 0.0002 max mem: 29859 [15:24:42.298827] Epoch: [58] [800/850] eta: 0:00:43 lr: 0.002396 loss: 0.0565 (0.0570) loss_rec_all: 0.0918 (0.0927) loss_rec_sfr: 0.1574 (0.1380) loss_cl: -0.3658 (-0.3670) time: 0.8639 data: 0.0002 max mem: 29859 [15:24:59.486642] Epoch: [58] [820/850] eta: 0:00:25 lr: 0.002396 loss: 0.0540 (0.0569) loss_rec_all: 0.0896 (0.0927) loss_rec_sfr: 0.1144 (0.1379) loss_cl: -0.3664 (-0.3670) time: 0.8593 data: 0.0002 max mem: 29859 [15:25:16.733785] Epoch: [58] [840/850] eta: 0:00:08 lr: 0.002396 loss: 0.0548 (0.0569) loss_rec_all: 0.0903 (0.0927) loss_rec_sfr: 0.1225 (0.1378) loss_cl: -0.3669 (-0.3670) time: 0.8623 data: 0.0005 max mem: 29859 [15:25:24.503241] Epoch: [58] [849/850] eta: 0:00:00 lr: 0.002396 loss: 0.0541 (0.0569) loss_rec_all: 0.0897 (0.0926) loss_rec_sfr: 0.1115 (0.1376) loss_cl: -0.3673 (-0.3670) time: 0.8638 data: 0.0005 max mem: 29859 [15:25:24.633465] Epoch: [58] Total time: 0:12:16 (0.8660 s / it) [15:25:24.686074] Averaged stats: lr: 0.002396 loss: 0.0541 (0.0569) loss_rec_all: 0.0897 (0.0926) loss_rec_sfr: 0.1115 (0.1367) loss_cl: -0.3673 (-0.3670) [15:25:24.691658] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [15:25:29.496054] Epoch: [59] [ 0/850] eta: 1:08:03 lr: 0.002396 loss: 0.0519 (0.0519) loss_rec_all: 0.0881 (0.0881) loss_rec_sfr: 0.0970 (0.0970) loss_cl: -0.3684 (-0.3684) time: 4.8037 data: 3.2136 max mem: 29859 [15:25:46.642096] Epoch: [59] [ 20/850] eta: 0:14:27 lr: 0.002396 loss: 0.0540 (0.0545) loss_rec_all: 0.0898 (0.0903) loss_rec_sfr: 0.1066 (0.1263) loss_cl: -0.3672 (-0.3673) time: 0.8573 data: 0.0002 max mem: 29859 [15:26:03.867503] Epoch: [59] [ 40/850] eta: 0:12:53 lr: 0.002396 loss: 0.0551 (0.0557) loss_rec_all: 0.0909 (0.0915) loss_rec_sfr: 0.1203 (0.1323) loss_cl: -0.3675 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [15:26:21.113183] Epoch: [59] [ 60/850] eta: 0:12:10 lr: 0.002396 loss: 0.0569 (0.0564) loss_rec_all: 0.0926 (0.0922) loss_rec_sfr: 0.1342 (0.1312) loss_cl: -0.3677 (-0.3675) time: 0.8622 data: 0.0002 max mem: 29859 [15:26:38.338330] Epoch: [59] [ 80/850] eta: 0:11:40 lr: 0.002396 loss: 0.0517 (0.0557) loss_rec_all: 0.0878 (0.0915) loss_rec_sfr: 0.0985 (0.1264) loss_cl: -0.3673 (-0.3674) time: 0.8612 data: 0.0002 max mem: 29859 [15:26:55.524510] Epoch: [59] [100/850] eta: 0:11:14 lr: 0.002396 loss: 0.0530 (0.0556) loss_rec_all: 0.0890 (0.0914) loss_rec_sfr: 0.1114 (0.1256) loss_cl: -0.3666 (-0.3672) time: 0.8593 data: 0.0002 max mem: 29859 [15:27:12.817965] Epoch: [59] [120/850] eta: 0:10:52 lr: 0.002396 loss: 0.0518 (0.0551) loss_rec_all: 0.0877 (0.0910) loss_rec_sfr: 0.1168 (0.1261) loss_cl: -0.3664 (-0.3671) time: 0.8646 data: 0.0002 max mem: 29859 [15:27:30.008869] Epoch: [59] [140/850] eta: 0:10:30 lr: 0.002396 loss: 0.0511 (0.0548) loss_rec_all: 0.0873 (0.0906) loss_rec_sfr: 0.1104 (0.1270) loss_cl: -0.3674 (-0.3672) time: 0.8595 data: 0.0002 max mem: 29859 [15:27:47.239839] Epoch: [59] [160/850] eta: 0:10:10 lr: 0.002396 loss: 0.0514 (0.0545) loss_rec_all: 0.0870 (0.0903) loss_rec_sfr: 0.1398 (0.1281) loss_cl: -0.3669 (-0.3671) time: 0.8614 data: 0.0002 max mem: 29859 [15:28:04.522348] Epoch: [59] [180/850] eta: 0:09:51 lr: 0.002396 loss: 0.0554 (0.0547) loss_rec_all: 0.0908 (0.0905) loss_rec_sfr: 0.1152 (0.1280) loss_cl: -0.3672 (-0.3671) time: 0.8641 data: 0.0003 max mem: 29859 [15:28:21.743374] Epoch: [59] [200/850] eta: 0:09:32 lr: 0.002396 loss: 0.0588 (0.0552) loss_rec_all: 0.0948 (0.0910) loss_rec_sfr: 0.1342 (0.1291) loss_cl: -0.3672 (-0.3671) time: 0.8610 data: 0.0002 max mem: 29859 [15:28:38.936148] Epoch: [59] [220/850] eta: 0:09:13 lr: 0.002396 loss: 0.0569 (0.0555) loss_rec_all: 0.0927 (0.0913) loss_rec_sfr: 0.1492 (0.1304) loss_cl: -0.3669 (-0.3671) time: 0.8596 data: 0.0002 max mem: 29859 [15:28:56.297556] Epoch: [59] [240/850] eta: 0:08:55 lr: 0.002396 loss: 0.0601 (0.0560) loss_rec_all: 0.0961 (0.0918) loss_rec_sfr: 0.1098 (0.1302) loss_cl: -0.3672 (-0.3671) time: 0.8680 data: 0.0003 max mem: 29859 [15:29:13.568954] Epoch: [59] [260/850] eta: 0:08:37 lr: 0.002396 loss: 0.0576 (0.0563) loss_rec_all: 0.0936 (0.0921) loss_rec_sfr: 0.1253 (0.1310) loss_cl: -0.3674 (-0.3671) time: 0.8635 data: 0.0003 max mem: 29859 [15:29:30.858802] Epoch: [59] [280/850] eta: 0:08:19 lr: 0.002396 loss: 0.0545 (0.0563) loss_rec_all: 0.0903 (0.0921) loss_rec_sfr: 0.1083 (0.1304) loss_cl: -0.3672 (-0.3671) time: 0.8644 data: 0.0002 max mem: 29859 [15:29:48.165879] Epoch: [59] [300/850] eta: 0:08:01 lr: 0.002396 loss: 0.0548 (0.0563) loss_rec_all: 0.0908 (0.0921) loss_rec_sfr: 0.0976 (0.1300) loss_cl: -0.3670 (-0.3671) time: 0.8653 data: 0.0003 max mem: 29859 [15:30:05.393830] Epoch: [59] [320/850] eta: 0:07:43 lr: 0.002396 loss: 0.0536 (0.0562) loss_rec_all: 0.0891 (0.0920) loss_rec_sfr: 0.1445 (0.1307) loss_cl: -0.3669 (-0.3671) time: 0.8614 data: 0.0002 max mem: 29859 [15:30:22.585245] Epoch: [59] [340/850] eta: 0:07:25 lr: 0.002396 loss: 0.0534 (0.0562) loss_rec_all: 0.0895 (0.0920) loss_rec_sfr: 0.1195 (0.1303) loss_cl: -0.3676 (-0.3671) time: 0.8595 data: 0.0002 max mem: 29859 [15:30:39.890983] Epoch: [59] [360/850] eta: 0:07:07 lr: 0.002396 loss: 0.0527 (0.0560) loss_rec_all: 0.0885 (0.0918) loss_rec_sfr: 0.1147 (0.1298) loss_cl: -0.3673 (-0.3671) time: 0.8652 data: 0.0002 max mem: 29859 [15:30:57.079948] Epoch: [59] [380/850] eta: 0:06:50 lr: 0.002396 loss: 0.0527 (0.0559) loss_rec_all: 0.0888 (0.0917) loss_rec_sfr: 0.0987 (0.1297) loss_cl: -0.3674 (-0.3671) time: 0.8594 data: 0.0002 max mem: 29859 [15:31:14.311885] Epoch: [59] [400/850] eta: 0:06:32 lr: 0.002396 loss: 0.0579 (0.0560) loss_rec_all: 0.0936 (0.0918) loss_rec_sfr: 0.1356 (0.1304) loss_cl: -0.3674 (-0.3671) time: 0.8616 data: 0.0002 max mem: 29859 [15:31:31.553308] Epoch: [59] [420/850] eta: 0:06:14 lr: 0.002396 loss: 0.0581 (0.0563) loss_rec_all: 0.0934 (0.0920) loss_rec_sfr: 0.1655 (0.1321) loss_cl: -0.3669 (-0.3671) time: 0.8620 data: 0.0002 max mem: 29859 [15:31:48.790501] Epoch: [59] [440/850] eta: 0:05:57 lr: 0.002396 loss: 0.0578 (0.0564) loss_rec_all: 0.0933 (0.0922) loss_rec_sfr: 0.1507 (0.1326) loss_cl: -0.3669 (-0.3671) time: 0.8618 data: 0.0002 max mem: 29859 [15:32:05.980067] Epoch: [59] [460/850] eta: 0:05:39 lr: 0.002396 loss: 0.0552 (0.0564) loss_rec_all: 0.0908 (0.0922) loss_rec_sfr: 0.1052 (0.1323) loss_cl: -0.3670 (-0.3671) time: 0.8594 data: 0.0002 max mem: 29859 [15:32:23.290480] Epoch: [59] [480/850] eta: 0:05:21 lr: 0.002396 loss: 0.0558 (0.0565) loss_rec_all: 0.0916 (0.0923) loss_rec_sfr: 0.1153 (0.1327) loss_cl: -0.3672 (-0.3671) time: 0.8655 data: 0.0002 max mem: 29859 [15:32:40.493150] Epoch: [59] [500/850] eta: 0:05:04 lr: 0.002396 loss: 0.0554 (0.0564) loss_rec_all: 0.0912 (0.0922) loss_rec_sfr: 0.1102 (0.1329) loss_cl: -0.3677 (-0.3671) time: 0.8601 data: 0.0002 max mem: 29859 [15:32:57.717762] Epoch: [59] [520/850] eta: 0:04:46 lr: 0.002396 loss: 0.0528 (0.0564) loss_rec_all: 0.0889 (0.0922) loss_rec_sfr: 0.1172 (0.1328) loss_cl: -0.3673 (-0.3671) time: 0.8612 data: 0.0002 max mem: 29859 [15:33:14.979688] Epoch: [59] [540/850] eta: 0:04:29 lr: 0.002396 loss: 0.0529 (0.0563) loss_rec_all: 0.0888 (0.0921) loss_rec_sfr: 0.1149 (0.1326) loss_cl: -0.3668 (-0.3671) time: 0.8630 data: 0.0002 max mem: 29859 [15:33:32.223316] Epoch: [59] [560/850] eta: 0:04:12 lr: 0.002396 loss: 0.0523 (0.0562) loss_rec_all: 0.0883 (0.0920) loss_rec_sfr: 0.1133 (0.1327) loss_cl: -0.3666 (-0.3671) time: 0.8621 data: 0.0002 max mem: 29859 [15:33:49.411642] Epoch: [59] [580/850] eta: 0:03:54 lr: 0.002396 loss: 0.0506 (0.0561) loss_rec_all: 0.0865 (0.0919) loss_rec_sfr: 0.1074 (0.1323) loss_cl: -0.3667 (-0.3671) time: 0.8594 data: 0.0002 max mem: 29859 [15:34:06.723226] Epoch: [59] [600/850] eta: 0:03:37 lr: 0.002396 loss: 0.0514 (0.0560) loss_rec_all: 0.0873 (0.0918) loss_rec_sfr: 0.1350 (0.1323) loss_cl: -0.3668 (-0.3671) time: 0.8655 data: 0.0003 max mem: 29859 [15:34:23.920702] Epoch: [59] [620/850] eta: 0:03:19 lr: 0.002396 loss: 0.0523 (0.0559) loss_rec_all: 0.0881 (0.0917) loss_rec_sfr: 0.1427 (0.1324) loss_cl: -0.3672 (-0.3671) time: 0.8598 data: 0.0002 max mem: 29859 [15:34:41.148836] Epoch: [59] [640/850] eta: 0:03:02 lr: 0.002396 loss: 0.0543 (0.0558) loss_rec_all: 0.0903 (0.0916) loss_rec_sfr: 0.1115 (0.1325) loss_cl: -0.3676 (-0.3671) time: 0.8614 data: 0.0002 max mem: 29859 [15:34:58.398904] Epoch: [59] [660/850] eta: 0:02:44 lr: 0.002396 loss: 0.0558 (0.0559) loss_rec_all: 0.0918 (0.0917) loss_rec_sfr: 0.1138 (0.1325) loss_cl: -0.3681 (-0.3671) time: 0.8624 data: 0.0002 max mem: 29859 [15:35:15.646290] Epoch: [59] [680/850] eta: 0:02:27 lr: 0.002396 loss: 0.0592 (0.0560) loss_rec_all: 0.0945 (0.0918) loss_rec_sfr: 0.1480 (0.1331) loss_cl: -0.3675 (-0.3671) time: 0.8623 data: 0.0002 max mem: 29859 [15:35:32.848695] Epoch: [59] [700/850] eta: 0:02:10 lr: 0.002396 loss: 0.0551 (0.0560) loss_rec_all: 0.0903 (0.0918) loss_rec_sfr: 0.1486 (0.1338) loss_cl: -0.3666 (-0.3671) time: 0.8601 data: 0.0002 max mem: 29859 [15:35:50.140304] Epoch: [59] [720/850] eta: 0:01:52 lr: 0.002396 loss: 0.0530 (0.0560) loss_rec_all: 0.0886 (0.0918) loss_rec_sfr: 0.1068 (0.1336) loss_cl: -0.3666 (-0.3671) time: 0.8645 data: 0.0002 max mem: 29859 [15:36:07.342506] Epoch: [59] [740/850] eta: 0:01:35 lr: 0.002396 loss: 0.0529 (0.0559) loss_rec_all: 0.0888 (0.0917) loss_rec_sfr: 0.1107 (0.1332) loss_cl: -0.3665 (-0.3671) time: 0.8601 data: 0.0002 max mem: 29859 [15:36:24.602309] Epoch: [59] [760/850] eta: 0:01:18 lr: 0.002396 loss: 0.0516 (0.0559) loss_rec_all: 0.0875 (0.0916) loss_rec_sfr: 0.1437 (0.1333) loss_cl: -0.3672 (-0.3671) time: 0.8629 data: 0.0002 max mem: 29859 [15:36:42.076169] Epoch: [59] [780/850] eta: 0:01:00 lr: 0.002396 loss: 0.0512 (0.0558) loss_rec_all: 0.0867 (0.0915) loss_rec_sfr: 0.1098 (0.1334) loss_cl: -0.3675 (-0.3671) time: 0.8736 data: 0.0003 max mem: 29859 [15:36:59.455593] Epoch: [59] [800/850] eta: 0:00:43 lr: 0.002396 loss: 0.0514 (0.0557) loss_rec_all: 0.0874 (0.0915) loss_rec_sfr: 0.1061 (0.1332) loss_cl: -0.3671 (-0.3671) time: 0.8689 data: 0.0003 max mem: 29859 [15:37:16.651054] Epoch: [59] [820/850] eta: 0:00:26 lr: 0.002396 loss: 0.0548 (0.0557) loss_rec_all: 0.0907 (0.0915) loss_rec_sfr: 0.1117 (0.1330) loss_cl: -0.3673 (-0.3671) time: 0.8597 data: 0.0002 max mem: 29859 [15:37:33.963831] Epoch: [59] [840/850] eta: 0:00:08 lr: 0.002396 loss: 0.0559 (0.0558) loss_rec_all: 0.0919 (0.0915) loss_rec_sfr: 0.1455 (0.1332) loss_cl: -0.3673 (-0.3671) time: 0.8655 data: 0.0006 max mem: 29859 [15:37:41.729006] Epoch: [59] [849/850] eta: 0:00:00 lr: 0.002396 loss: 0.0544 (0.0558) loss_rec_all: 0.0901 (0.0915) loss_rec_sfr: 0.1167 (0.1332) loss_cl: -0.3672 (-0.3671) time: 0.8666 data: 0.0006 max mem: 29859 [15:37:41.875736] Epoch: [59] Total time: 0:12:17 (0.8673 s / it) [15:37:41.887659] Averaged stats: lr: 0.002396 loss: 0.0544 (0.0558) loss_rec_all: 0.0901 (0.0916) loss_rec_sfr: 0.1167 (0.1340) loss_cl: -0.3672 (-0.3670) [15:37:41.897169] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [15:37:46.212909] Epoch: [60] [ 0/850] eta: 1:01:07 lr: 0.002396 loss: 0.0500 (0.0500) loss_rec_all: 0.0861 (0.0861) loss_rec_sfr: 0.0855 (0.0855) loss_cl: -0.3669 (-0.3669) time: 4.3150 data: 3.4620 max mem: 29859 [15:38:03.473779] Epoch: [60] [ 20/850] eta: 0:14:12 lr: 0.002396 loss: 0.0521 (0.0541) loss_rec_all: 0.0879 (0.0899) loss_rec_sfr: 0.1110 (0.1230) loss_cl: -0.3665 (-0.3665) time: 0.8630 data: 0.0001 max mem: 29859 [15:38:20.737081] Epoch: [60] [ 40/850] eta: 0:12:47 lr: 0.002396 loss: 0.0511 (0.0528) loss_rec_all: 0.0867 (0.0885) loss_rec_sfr: 0.1098 (0.1251) loss_cl: -0.3662 (-0.3664) time: 0.8631 data: 0.0002 max mem: 29859 [15:38:37.967337] Epoch: [60] [ 60/850] eta: 0:12:06 lr: 0.002396 loss: 0.0550 (0.0541) loss_rec_all: 0.0911 (0.0898) loss_rec_sfr: 0.1457 (0.1330) loss_cl: -0.3670 (-0.3666) time: 0.8615 data: 0.0002 max mem: 29859 [15:38:55.193816] Epoch: [60] [ 80/850] eta: 0:11:36 lr: 0.002396 loss: 0.0534 (0.0544) loss_rec_all: 0.0890 (0.0901) loss_rec_sfr: 0.1196 (0.1330) loss_cl: -0.3672 (-0.3667) time: 0.8613 data: 0.0002 max mem: 29859 [15:39:12.428819] Epoch: [60] [100/850] eta: 0:11:12 lr: 0.002396 loss: 0.0560 (0.0552) loss_rec_all: 0.0919 (0.0909) loss_rec_sfr: 0.1495 (0.1343) loss_cl: -0.3671 (-0.3667) time: 0.8617 data: 0.0002 max mem: 29859 [15:39:29.718257] Epoch: [60] [120/850] eta: 0:10:50 lr: 0.002396 loss: 0.0549 (0.0554) loss_rec_all: 0.0907 (0.0911) loss_rec_sfr: 0.1093 (0.1339) loss_cl: -0.3681 (-0.3669) time: 0.8644 data: 0.0002 max mem: 29859 [15:39:46.912623] Epoch: [60] [140/850] eta: 0:10:29 lr: 0.002396 loss: 0.0535 (0.0551) loss_rec_all: 0.0891 (0.0909) loss_rec_sfr: 0.1120 (0.1334) loss_cl: -0.3681 (-0.3670) time: 0.8597 data: 0.0002 max mem: 29859 [15:40:04.171348] Epoch: [60] [160/850] eta: 0:10:09 lr: 0.002396 loss: 0.0524 (0.0551) loss_rec_all: 0.0880 (0.0909) loss_rec_sfr: 0.1253 (0.1327) loss_cl: -0.3673 (-0.3670) time: 0.8629 data: 0.0002 max mem: 29859 [15:40:21.438329] Epoch: [60] [180/850] eta: 0:09:50 lr: 0.002396 loss: 0.0537 (0.0553) loss_rec_all: 0.0892 (0.0910) loss_rec_sfr: 0.1454 (0.1329) loss_cl: -0.3666 (-0.3670) time: 0.8633 data: 0.0002 max mem: 29859 [15:40:38.681944] Epoch: [60] [200/850] eta: 0:09:31 lr: 0.002396 loss: 0.0514 (0.0550) loss_rec_all: 0.0871 (0.0908) loss_rec_sfr: 0.1371 (0.1329) loss_cl: -0.3661 (-0.3669) time: 0.8621 data: 0.0002 max mem: 29859 [15:40:55.882910] Epoch: [60] [220/850] eta: 0:09:12 lr: 0.002396 loss: 0.0527 (0.0549) loss_rec_all: 0.0883 (0.0907) loss_rec_sfr: 0.1364 (0.1324) loss_cl: -0.3668 (-0.3669) time: 0.8600 data: 0.0002 max mem: 29859 [15:41:13.177885] Epoch: [60] [240/850] eta: 0:08:54 lr: 0.002396 loss: 0.0500 (0.0547) loss_rec_all: 0.0861 (0.0905) loss_rec_sfr: 0.1384 (0.1320) loss_cl: -0.3672 (-0.3669) time: 0.8647 data: 0.0002 max mem: 29859 [15:41:30.376038] Epoch: [60] [260/850] eta: 0:08:36 lr: 0.002396 loss: 0.0516 (0.0546) loss_rec_all: 0.0874 (0.0903) loss_rec_sfr: 0.1371 (0.1323) loss_cl: -0.3675 (-0.3669) time: 0.8599 data: 0.0002 max mem: 29859 [15:41:47.618751] Epoch: [60] [280/850] eta: 0:08:18 lr: 0.002396 loss: 0.0511 (0.0544) loss_rec_all: 0.0871 (0.0902) loss_rec_sfr: 0.1027 (0.1322) loss_cl: -0.3679 (-0.3670) time: 0.8621 data: 0.0002 max mem: 29859 [15:42:04.927149] Epoch: [60] [300/850] eta: 0:08:00 lr: 0.002396 loss: 0.0543 (0.0545) loss_rec_all: 0.0899 (0.0903) loss_rec_sfr: 0.1589 (0.1338) loss_cl: -0.3680 (-0.3670) time: 0.8654 data: 0.0002 max mem: 29859 [15:42:22.156239] Epoch: [60] [320/850] eta: 0:07:42 lr: 0.002396 loss: 0.0545 (0.0546) loss_rec_all: 0.0899 (0.0904) loss_rec_sfr: 0.1646 (0.1354) loss_cl: -0.3674 (-0.3671) time: 0.8614 data: 0.0002 max mem: 29859 [15:42:39.351905] Epoch: [60] [340/850] eta: 0:07:24 lr: 0.002396 loss: 0.0522 (0.0545) loss_rec_all: 0.0882 (0.0903) loss_rec_sfr: 0.1352 (0.1354) loss_cl: -0.3666 (-0.3670) time: 0.8597 data: 0.0002 max mem: 29859 [15:42:56.690261] Epoch: [60] [360/850] eta: 0:07:07 lr: 0.002396 loss: 0.0514 (0.0544) loss_rec_all: 0.0873 (0.0902) loss_rec_sfr: 0.0927 (0.1342) loss_cl: -0.3663 (-0.3670) time: 0.8669 data: 0.0003 max mem: 29859 [15:43:13.884161] Epoch: [60] [380/850] eta: 0:06:49 lr: 0.002396 loss: 0.0522 (0.0544) loss_rec_all: 0.0881 (0.0901) loss_rec_sfr: 0.1342 (0.1341) loss_cl: -0.3664 (-0.3669) time: 0.8597 data: 0.0002 max mem: 29859 [15:43:31.121436] Epoch: [60] [400/850] eta: 0:06:31 lr: 0.002396 loss: 0.0533 (0.0544) loss_rec_all: 0.0891 (0.0902) loss_rec_sfr: 0.1036 (0.1339) loss_cl: -0.3670 (-0.3669) time: 0.8618 data: 0.0002 max mem: 29859 [15:43:48.382294] Epoch: [60] [420/850] eta: 0:06:14 lr: 0.002396 loss: 0.0556 (0.0545) loss_rec_all: 0.0913 (0.0902) loss_rec_sfr: 0.1661 (0.1347) loss_cl: -0.3678 (-0.3670) time: 0.8630 data: 0.0002 max mem: 29859 [15:44:05.625160] Epoch: [60] [440/850] eta: 0:05:56 lr: 0.002396 loss: 0.0541 (0.0546) loss_rec_all: 0.0898 (0.0903) loss_rec_sfr: 0.1152 (0.1344) loss_cl: -0.3674 (-0.3670) time: 0.8621 data: 0.0002 max mem: 29859 [15:44:22.824806] Epoch: [60] [460/850] eta: 0:05:39 lr: 0.002396 loss: 0.0538 (0.0545) loss_rec_all: 0.0896 (0.0903) loss_rec_sfr: 0.1119 (0.1340) loss_cl: -0.3678 (-0.3670) time: 0.8599 data: 0.0002 max mem: 29859 [15:44:40.121831] Epoch: [60] [480/850] eta: 0:05:21 lr: 0.002396 loss: 0.0530 (0.0546) loss_rec_all: 0.0889 (0.0903) loss_rec_sfr: 0.1018 (0.1333) loss_cl: -0.3673 (-0.3670) time: 0.8648 data: 0.0002 max mem: 29859 [15:44:57.323233] Epoch: [60] [500/850] eta: 0:05:04 lr: 0.002396 loss: 0.0535 (0.0545) loss_rec_all: 0.0893 (0.0903) loss_rec_sfr: 0.1089 (0.1331) loss_cl: -0.3667 (-0.3670) time: 0.8600 data: 0.0002 max mem: 29859 [15:45:14.560600] Epoch: [60] [520/850] eta: 0:04:46 lr: 0.002396 loss: 0.0530 (0.0545) loss_rec_all: 0.0886 (0.0903) loss_rec_sfr: 0.1053 (0.1327) loss_cl: -0.3666 (-0.3670) time: 0.8618 data: 0.0002 max mem: 29859 [15:45:31.833056] Epoch: [60] [540/850] eta: 0:04:29 lr: 0.002396 loss: 0.0516 (0.0544) loss_rec_all: 0.0875 (0.0902) loss_rec_sfr: 0.1086 (0.1322) loss_cl: -0.3670 (-0.3670) time: 0.8635 data: 0.0002 max mem: 29859 [15:45:49.115744] Epoch: [60] [560/850] eta: 0:04:11 lr: 0.002396 loss: 0.0526 (0.0544) loss_rec_all: 0.0886 (0.0902) loss_rec_sfr: 0.1428 (0.1325) loss_cl: -0.3675 (-0.3670) time: 0.8641 data: 0.0002 max mem: 29859 [15:46:06.305846] Epoch: [60] [580/850] eta: 0:03:54 lr: 0.002396 loss: 0.0563 (0.0546) loss_rec_all: 0.0916 (0.0903) loss_rec_sfr: 0.1549 (0.1333) loss_cl: -0.3672 (-0.3670) time: 0.8595 data: 0.0002 max mem: 29859 [15:46:23.607328] Epoch: [60] [600/850] eta: 0:03:37 lr: 0.002396 loss: 0.0550 (0.0546) loss_rec_all: 0.0904 (0.0903) loss_rec_sfr: 0.1019 (0.1329) loss_cl: -0.3664 (-0.3670) time: 0.8650 data: 0.0002 max mem: 29859 [15:46:40.839607] Epoch: [60] [620/850] eta: 0:03:19 lr: 0.002396 loss: 0.0540 (0.0546) loss_rec_all: 0.0899 (0.0904) loss_rec_sfr: 0.1438 (0.1331) loss_cl: -0.3664 (-0.3670) time: 0.8616 data: 0.0002 max mem: 29859 [15:46:58.064896] Epoch: [60] [640/850] eta: 0:03:02 lr: 0.002396 loss: 0.0542 (0.0546) loss_rec_all: 0.0901 (0.0904) loss_rec_sfr: 0.1328 (0.1330) loss_cl: -0.3667 (-0.3670) time: 0.8612 data: 0.0002 max mem: 29859 [15:47:15.294595] Epoch: [60] [660/850] eta: 0:02:44 lr: 0.002396 loss: 0.0516 (0.0546) loss_rec_all: 0.0877 (0.0904) loss_rec_sfr: 0.1309 (0.1329) loss_cl: -0.3676 (-0.3670) time: 0.8614 data: 0.0002 max mem: 29859 [15:47:32.554359] Epoch: [60] [680/850] eta: 0:02:27 lr: 0.002396 loss: 0.0512 (0.0545) loss_rec_all: 0.0872 (0.0903) loss_rec_sfr: 0.1175 (0.1329) loss_cl: -0.3682 (-0.3670) time: 0.8629 data: 0.0002 max mem: 29859 [15:47:49.749433] Epoch: [60] [700/850] eta: 0:02:10 lr: 0.002396 loss: 0.0511 (0.0545) loss_rec_all: 0.0873 (0.0902) loss_rec_sfr: 0.1103 (0.1326) loss_cl: -0.3676 (-0.3670) time: 0.8597 data: 0.0002 max mem: 29859 [15:48:07.022600] Epoch: [60] [720/850] eta: 0:01:52 lr: 0.002396 loss: 0.0523 (0.0544) loss_rec_all: 0.0883 (0.0902) loss_rec_sfr: 0.1124 (0.1324) loss_cl: -0.3669 (-0.3670) time: 0.8636 data: 0.0002 max mem: 29859 [15:48:24.261442] Epoch: [60] [740/850] eta: 0:01:35 lr: 0.002396 loss: 0.0528 (0.0544) loss_rec_all: 0.0887 (0.0902) loss_rec_sfr: 0.1362 (0.1324) loss_cl: -0.3665 (-0.3670) time: 0.8619 data: 0.0002 max mem: 29859 [15:48:41.500932] Epoch: [60] [760/850] eta: 0:01:18 lr: 0.002396 loss: 0.0537 (0.0545) loss_rec_all: 0.0897 (0.0902) loss_rec_sfr: 0.1489 (0.1325) loss_cl: -0.3664 (-0.3670) time: 0.8619 data: 0.0002 max mem: 29859 [15:48:58.727728] Epoch: [60] [780/850] eta: 0:01:00 lr: 0.002396 loss: 0.0539 (0.0545) loss_rec_all: 0.0897 (0.0902) loss_rec_sfr: 0.1473 (0.1326) loss_cl: -0.3673 (-0.3670) time: 0.8613 data: 0.0002 max mem: 29859 [15:49:16.051566] Epoch: [60] [800/850] eta: 0:00:43 lr: 0.002396 loss: 0.0540 (0.0545) loss_rec_all: 0.0897 (0.0902) loss_rec_sfr: 0.1413 (0.1329) loss_cl: -0.3676 (-0.3670) time: 0.8661 data: 0.0002 max mem: 29859 [15:49:33.251057] Epoch: [60] [820/850] eta: 0:00:25 lr: 0.002395 loss: 0.0555 (0.0545) loss_rec_all: 0.0909 (0.0903) loss_rec_sfr: 0.1441 (0.1331) loss_cl: -0.3669 (-0.3670) time: 0.8599 data: 0.0002 max mem: 29859 [15:49:50.505978] Epoch: [60] [840/850] eta: 0:00:08 lr: 0.002395 loss: 0.0506 (0.0545) loss_rec_all: 0.0864 (0.0902) loss_rec_sfr: 0.0948 (0.1327) loss_cl: -0.3668 (-0.3670) time: 0.8627 data: 0.0005 max mem: 29859 [15:49:58.283873] Epoch: [60] [849/850] eta: 0:00:00 lr: 0.002395 loss: 0.0507 (0.0544) loss_rec_all: 0.0866 (0.0902) loss_rec_sfr: 0.1087 (0.1328) loss_cl: -0.3668 (-0.3670) time: 0.8645 data: 0.0004 max mem: 29859 [15:49:58.443009] Epoch: [60] Total time: 0:12:16 (0.8665 s / it) [15:49:58.457637] Averaged stats: lr: 0.002395 loss: 0.0507 (0.0544) loss_rec_all: 0.0866 (0.0901) loss_rec_sfr: 0.1087 (0.1316) loss_cl: -0.3668 (-0.3670) [15:49:58.468801] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [15:50:03.129450] Epoch: [61] [ 0/850] eta: 1:06:00 lr: 0.002395 loss: 0.0539 (0.0539) loss_rec_all: 0.0899 (0.0899) loss_rec_sfr: 0.0853 (0.0853) loss_cl: -0.3664 (-0.3664) time: 4.6595 data: 3.1520 max mem: 29859 [15:50:20.284550] Epoch: [61] [ 20/850] eta: 0:14:22 lr: 0.002395 loss: 0.0500 (0.0511) loss_rec_all: 0.0859 (0.0870) loss_rec_sfr: 0.1078 (0.1220) loss_cl: -0.3672 (-0.3671) time: 0.8577 data: 0.0002 max mem: 29859 [15:50:37.570281] Epoch: [61] [ 40/850] eta: 0:12:52 lr: 0.002395 loss: 0.0486 (0.0505) loss_rec_all: 0.0847 (0.0864) loss_rec_sfr: 0.1048 (0.1193) loss_cl: -0.3675 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [15:50:54.842760] Epoch: [61] [ 60/850] eta: 0:12:10 lr: 0.002395 loss: 0.0503 (0.0506) loss_rec_all: 0.0861 (0.0864) loss_rec_sfr: 0.1531 (0.1263) loss_cl: -0.3676 (-0.3673) time: 0.8636 data: 0.0003 max mem: 29859 [15:51:12.068258] Epoch: [61] [ 80/850] eta: 0:11:39 lr: 0.002395 loss: 0.0547 (0.0517) loss_rec_all: 0.0902 (0.0875) loss_rec_sfr: 0.1571 (0.1353) loss_cl: -0.3667 (-0.3672) time: 0.8612 data: 0.0002 max mem: 29859 [15:51:29.263904] Epoch: [61] [100/850] eta: 0:11:14 lr: 0.002395 loss: 0.0525 (0.0521) loss_rec_all: 0.0881 (0.0878) loss_rec_sfr: 0.1150 (0.1349) loss_cl: -0.3667 (-0.3671) time: 0.8597 data: 0.0002 max mem: 29859 [15:51:46.563357] Epoch: [61] [120/850] eta: 0:10:52 lr: 0.002395 loss: 0.0527 (0.0523) loss_rec_all: 0.0882 (0.0881) loss_rec_sfr: 0.1196 (0.1337) loss_cl: -0.3665 (-0.3670) time: 0.8649 data: 0.0003 max mem: 29859 [15:52:03.744607] Epoch: [61] [140/850] eta: 0:10:30 lr: 0.002395 loss: 0.0545 (0.0528) loss_rec_all: 0.0900 (0.0886) loss_rec_sfr: 0.1387 (0.1347) loss_cl: -0.3672 (-0.3670) time: 0.8590 data: 0.0002 max mem: 29859 [15:52:21.020786] Epoch: [61] [160/850] eta: 0:10:10 lr: 0.002395 loss: 0.0536 (0.0532) loss_rec_all: 0.0892 (0.0889) loss_rec_sfr: 0.1498 (0.1365) loss_cl: -0.3676 (-0.3671) time: 0.8638 data: 0.0002 max mem: 29859 [15:52:38.304446] Epoch: [61] [180/850] eta: 0:09:51 lr: 0.002395 loss: 0.0525 (0.0534) loss_rec_all: 0.0885 (0.0891) loss_rec_sfr: 0.1131 (0.1356) loss_cl: -0.3678 (-0.3671) time: 0.8641 data: 0.0002 max mem: 29859 [15:52:55.531883] Epoch: [61] [200/850] eta: 0:09:32 lr: 0.002395 loss: 0.0509 (0.0535) loss_rec_all: 0.0865 (0.0893) loss_rec_sfr: 0.1383 (0.1350) loss_cl: -0.3673 (-0.3671) time: 0.8613 data: 0.0002 max mem: 29859 [15:53:12.726993] Epoch: [61] [220/850] eta: 0:09:13 lr: 0.002395 loss: 0.0510 (0.0534) loss_rec_all: 0.0864 (0.0892) loss_rec_sfr: 0.1408 (0.1355) loss_cl: -0.3671 (-0.3671) time: 0.8597 data: 0.0002 max mem: 29859 [15:53:30.072121] Epoch: [61] [240/850] eta: 0:08:55 lr: 0.002395 loss: 0.0505 (0.0532) loss_rec_all: 0.0864 (0.0890) loss_rec_sfr: 0.1321 (0.1354) loss_cl: -0.3669 (-0.3671) time: 0.8672 data: 0.0002 max mem: 29859 [15:53:47.269845] Epoch: [61] [260/850] eta: 0:08:37 lr: 0.002395 loss: 0.0487 (0.0530) loss_rec_all: 0.0847 (0.0888) loss_rec_sfr: 0.0908 (0.1339) loss_cl: -0.3670 (-0.3671) time: 0.8598 data: 0.0002 max mem: 29859 [15:54:04.509541] Epoch: [61] [280/850] eta: 0:08:19 lr: 0.002395 loss: 0.0492 (0.0528) loss_rec_all: 0.0851 (0.0886) loss_rec_sfr: 0.0995 (0.1328) loss_cl: -0.3674 (-0.3671) time: 0.8619 data: 0.0002 max mem: 29859 [15:54:21.772263] Epoch: [61] [300/850] eta: 0:08:01 lr: 0.002395 loss: 0.0514 (0.0529) loss_rec_all: 0.0869 (0.0886) loss_rec_sfr: 0.1356 (0.1332) loss_cl: -0.3677 (-0.3672) time: 0.8631 data: 0.0003 max mem: 29859 [15:54:39.017600] Epoch: [61] [320/850] eta: 0:07:43 lr: 0.002395 loss: 0.0529 (0.0530) loss_rec_all: 0.0891 (0.0888) loss_rec_sfr: 0.1408 (0.1330) loss_cl: -0.3680 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [15:54:56.221315] Epoch: [61] [340/850] eta: 0:07:25 lr: 0.002395 loss: 0.0532 (0.0531) loss_rec_all: 0.0891 (0.0889) loss_rec_sfr: 0.1395 (0.1330) loss_cl: -0.3668 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [15:55:13.527489] Epoch: [61] [360/850] eta: 0:07:07 lr: 0.002395 loss: 0.0528 (0.0533) loss_rec_all: 0.0887 (0.0891) loss_rec_sfr: 0.1099 (0.1329) loss_cl: -0.3666 (-0.3671) time: 0.8653 data: 0.0003 max mem: 29859 [15:55:30.742654] Epoch: [61] [380/850] eta: 0:06:49 lr: 0.002395 loss: 0.0540 (0.0534) loss_rec_all: 0.0898 (0.0892) loss_rec_sfr: 0.1131 (0.1327) loss_cl: -0.3663 (-0.3671) time: 0.8607 data: 0.0002 max mem: 29859 [15:55:47.991849] Epoch: [61] [400/850] eta: 0:06:32 lr: 0.002395 loss: 0.0535 (0.0534) loss_rec_all: 0.0895 (0.0892) loss_rec_sfr: 0.1438 (0.1328) loss_cl: -0.3666 (-0.3671) time: 0.8624 data: 0.0002 max mem: 29859 [15:56:05.300740] Epoch: [61] [420/850] eta: 0:06:14 lr: 0.002395 loss: 0.0542 (0.0537) loss_rec_all: 0.0903 (0.0895) loss_rec_sfr: 0.1605 (0.1335) loss_cl: -0.3675 (-0.3671) time: 0.8654 data: 0.0002 max mem: 29859 [15:56:22.575869] Epoch: [61] [440/850] eta: 0:05:57 lr: 0.002395 loss: 0.0514 (0.0536) loss_rec_all: 0.0870 (0.0894) loss_rec_sfr: 0.1404 (0.1335) loss_cl: -0.3677 (-0.3671) time: 0.8637 data: 0.0002 max mem: 29859 [15:56:39.778356] Epoch: [61] [460/850] eta: 0:05:39 lr: 0.002395 loss: 0.0519 (0.0536) loss_rec_all: 0.0880 (0.0894) loss_rec_sfr: 0.1120 (0.1332) loss_cl: -0.3676 (-0.3671) time: 0.8601 data: 0.0002 max mem: 29859 [15:56:57.078048] Epoch: [61] [480/850] eta: 0:05:21 lr: 0.002395 loss: 0.0497 (0.0535) loss_rec_all: 0.0856 (0.0893) loss_rec_sfr: 0.1131 (0.1329) loss_cl: -0.3674 (-0.3671) time: 0.8649 data: 0.0003 max mem: 29859 [15:57:14.306772] Epoch: [61] [500/850] eta: 0:05:04 lr: 0.002395 loss: 0.0543 (0.0536) loss_rec_all: 0.0898 (0.0894) loss_rec_sfr: 0.1302 (0.1332) loss_cl: -0.3659 (-0.3671) time: 0.8614 data: 0.0002 max mem: 29859 [15:57:31.539605] Epoch: [61] [520/850] eta: 0:04:46 lr: 0.002395 loss: 0.0562 (0.0538) loss_rec_all: 0.0920 (0.0895) loss_rec_sfr: 0.1470 (0.1336) loss_cl: -0.3652 (-0.3670) time: 0.8616 data: 0.0002 max mem: 29859 [15:57:48.776838] Epoch: [61] [540/850] eta: 0:04:29 lr: 0.002395 loss: 0.0536 (0.0538) loss_rec_all: 0.0893 (0.0896) loss_rec_sfr: 0.1027 (0.1334) loss_cl: -0.3666 (-0.3670) time: 0.8618 data: 0.0002 max mem: 29859 [15:58:06.037824] Epoch: [61] [560/850] eta: 0:04:12 lr: 0.002395 loss: 0.0512 (0.0538) loss_rec_all: 0.0869 (0.0895) loss_rec_sfr: 0.1163 (0.1334) loss_cl: -0.3674 (-0.3670) time: 0.8630 data: 0.0002 max mem: 29859 [15:58:23.230565] Epoch: [61] [580/850] eta: 0:03:54 lr: 0.002395 loss: 0.0507 (0.0537) loss_rec_all: 0.0867 (0.0895) loss_rec_sfr: 0.0961 (0.1330) loss_cl: -0.3676 (-0.3670) time: 0.8596 data: 0.0002 max mem: 29859 [15:58:40.505725] Epoch: [61] [600/850] eta: 0:03:37 lr: 0.002395 loss: 0.0521 (0.0537) loss_rec_all: 0.0878 (0.0895) loss_rec_sfr: 0.1365 (0.1328) loss_cl: -0.3676 (-0.3670) time: 0.8637 data: 0.0002 max mem: 29859 [15:58:57.763102] Epoch: [61] [620/850] eta: 0:03:19 lr: 0.002395 loss: 0.0517 (0.0537) loss_rec_all: 0.0875 (0.0894) loss_rec_sfr: 0.1304 (0.1328) loss_cl: -0.3666 (-0.3670) time: 0.8628 data: 0.0002 max mem: 29859 [15:59:14.993924] Epoch: [61] [640/850] eta: 0:03:02 lr: 0.002395 loss: 0.0526 (0.0537) loss_rec_all: 0.0886 (0.0895) loss_rec_sfr: 0.1181 (0.1327) loss_cl: -0.3666 (-0.3670) time: 0.8615 data: 0.0002 max mem: 29859 [15:59:32.226536] Epoch: [61] [660/850] eta: 0:02:44 lr: 0.002395 loss: 0.0507 (0.0536) loss_rec_all: 0.0867 (0.0894) loss_rec_sfr: 0.1104 (0.1325) loss_cl: -0.3678 (-0.3670) time: 0.8616 data: 0.0002 max mem: 29859 [15:59:49.512065] Epoch: [61] [680/850] eta: 0:02:27 lr: 0.002395 loss: 0.0497 (0.0536) loss_rec_all: 0.0859 (0.0893) loss_rec_sfr: 0.1350 (0.1325) loss_cl: -0.3685 (-0.3671) time: 0.8642 data: 0.0002 max mem: 29859 [16:00:06.701633] Epoch: [61] [700/850] eta: 0:02:10 lr: 0.002395 loss: 0.0509 (0.0535) loss_rec_all: 0.0870 (0.0893) loss_rec_sfr: 0.1075 (0.1323) loss_cl: -0.3682 (-0.3671) time: 0.8594 data: 0.0002 max mem: 29859 [16:00:23.953224] Epoch: [61] [720/850] eta: 0:01:52 lr: 0.002395 loss: 0.0500 (0.0534) loss_rec_all: 0.0860 (0.0892) loss_rec_sfr: 0.1425 (0.1323) loss_cl: -0.3681 (-0.3671) time: 0.8625 data: 0.0002 max mem: 29859 [16:00:41.191371] Epoch: [61] [740/850] eta: 0:01:35 lr: 0.002395 loss: 0.0492 (0.0534) loss_rec_all: 0.0852 (0.0891) loss_rec_sfr: 0.1128 (0.1321) loss_cl: -0.3672 (-0.3671) time: 0.8619 data: 0.0002 max mem: 29859 [16:00:58.423267] Epoch: [61] [760/850] eta: 0:01:18 lr: 0.002395 loss: 0.0500 (0.0533) loss_rec_all: 0.0860 (0.0891) loss_rec_sfr: 0.1293 (0.1321) loss_cl: -0.3666 (-0.3671) time: 0.8615 data: 0.0002 max mem: 29859 [16:01:15.629165] Epoch: [61] [780/850] eta: 0:01:00 lr: 0.002395 loss: 0.0483 (0.0532) loss_rec_all: 0.0842 (0.0890) loss_rec_sfr: 0.1012 (0.1317) loss_cl: -0.3660 (-0.3671) time: 0.8602 data: 0.0002 max mem: 29859 [16:01:32.937147] Epoch: [61] [800/850] eta: 0:00:43 lr: 0.002395 loss: 0.0501 (0.0532) loss_rec_all: 0.0860 (0.0890) loss_rec_sfr: 0.1346 (0.1316) loss_cl: -0.3660 (-0.3671) time: 0.8653 data: 0.0002 max mem: 29859 [16:01:50.123172] Epoch: [61] [820/850] eta: 0:00:26 lr: 0.002395 loss: 0.0544 (0.0533) loss_rec_all: 0.0899 (0.0891) loss_rec_sfr: 0.1337 (0.1315) loss_cl: -0.3667 (-0.3671) time: 0.8593 data: 0.0002 max mem: 29859 [16:02:07.372829] Epoch: [61] [840/850] eta: 0:00:08 lr: 0.002395 loss: 0.0539 (0.0534) loss_rec_all: 0.0897 (0.0892) loss_rec_sfr: 0.1454 (0.1317) loss_cl: -0.3671 (-0.3671) time: 0.8624 data: 0.0005 max mem: 29859 [16:02:15.140170] Epoch: [61] [849/850] eta: 0:00:00 lr: 0.002395 loss: 0.0561 (0.0535) loss_rec_all: 0.0916 (0.0893) loss_rec_sfr: 0.1513 (0.1318) loss_cl: -0.3677 (-0.3671) time: 0.8637 data: 0.0005 max mem: 29859 [16:02:15.303089] Epoch: [61] Total time: 0:12:16 (0.8669 s / it) [16:02:15.311273] Averaged stats: lr: 0.002395 loss: 0.0561 (0.0533) loss_rec_all: 0.0916 (0.0891) loss_rec_sfr: 0.1513 (0.1314) loss_cl: -0.3677 (-0.3670) [16:02:15.330107] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [16:02:20.208162] Epoch: [62] [ 0/850] eta: 1:09:05 lr: 0.002395 loss: 0.0531 (0.0531) loss_rec_all: 0.0890 (0.0890) loss_rec_sfr: 0.1173 (0.1173) loss_cl: -0.3665 (-0.3665) time: 4.8771 data: 4.0239 max mem: 29859 [16:02:37.359603] Epoch: [62] [ 20/850] eta: 0:14:30 lr: 0.002395 loss: 0.0541 (0.0557) loss_rec_all: 0.0895 (0.0916) loss_rec_sfr: 0.0984 (0.1208) loss_cl: -0.3678 (-0.3677) time: 0.8575 data: 0.0001 max mem: 29859 [16:02:54.589523] Epoch: [62] [ 40/850] eta: 0:12:55 lr: 0.002395 loss: 0.0539 (0.0554) loss_rec_all: 0.0899 (0.0912) loss_rec_sfr: 0.1449 (0.1284) loss_cl: -0.3674 (-0.3676) time: 0.8614 data: 0.0002 max mem: 29859 [16:03:11.918053] Epoch: [62] [ 60/850] eta: 0:12:12 lr: 0.002395 loss: 0.0524 (0.0552) loss_rec_all: 0.0883 (0.0911) loss_rec_sfr: 0.1119 (0.1298) loss_cl: -0.3667 (-0.3673) time: 0.8664 data: 0.0003 max mem: 29859 [16:03:29.150483] Epoch: [62] [ 80/850] eta: 0:11:41 lr: 0.002395 loss: 0.0520 (0.0546) loss_rec_all: 0.0875 (0.0904) loss_rec_sfr: 0.1443 (0.1330) loss_cl: -0.3670 (-0.3672) time: 0.8616 data: 0.0001 max mem: 29859 [16:03:46.338325] Epoch: [62] [100/850] eta: 0:11:15 lr: 0.002395 loss: 0.0495 (0.0539) loss_rec_all: 0.0854 (0.0897) loss_rec_sfr: 0.1389 (0.1335) loss_cl: -0.3665 (-0.3670) time: 0.8593 data: 0.0002 max mem: 29859 [16:04:03.650905] Epoch: [62] [120/850] eta: 0:10:53 lr: 0.002395 loss: 0.0507 (0.0537) loss_rec_all: 0.0866 (0.0894) loss_rec_sfr: 0.1354 (0.1335) loss_cl: -0.3663 (-0.3669) time: 0.8656 data: 0.0003 max mem: 29859 [16:04:20.851078] Epoch: [62] [140/850] eta: 0:10:32 lr: 0.002395 loss: 0.0504 (0.0533) loss_rec_all: 0.0864 (0.0891) loss_rec_sfr: 0.1103 (0.1323) loss_cl: -0.3673 (-0.3670) time: 0.8600 data: 0.0002 max mem: 29859 [16:04:38.092897] Epoch: [62] [160/850] eta: 0:10:11 lr: 0.002395 loss: 0.0508 (0.0534) loss_rec_all: 0.0867 (0.0891) loss_rec_sfr: 0.1059 (0.1319) loss_cl: -0.3675 (-0.3670) time: 0.8620 data: 0.0002 max mem: 29859 [16:04:55.347227] Epoch: [62] [180/850] eta: 0:09:52 lr: 0.002395 loss: 0.0519 (0.0534) loss_rec_all: 0.0879 (0.0892) loss_rec_sfr: 0.1090 (0.1320) loss_cl: -0.3676 (-0.3671) time: 0.8626 data: 0.0003 max mem: 29859 [16:05:12.589139] Epoch: [62] [200/850] eta: 0:09:33 lr: 0.002395 loss: 0.0514 (0.0533) loss_rec_all: 0.0874 (0.0891) loss_rec_sfr: 0.1088 (0.1315) loss_cl: -0.3670 (-0.3671) time: 0.8621 data: 0.0002 max mem: 29859 [16:05:29.789338] Epoch: [62] [220/850] eta: 0:09:14 lr: 0.002395 loss: 0.0500 (0.0532) loss_rec_all: 0.0860 (0.0890) loss_rec_sfr: 0.1070 (0.1305) loss_cl: -0.3670 (-0.3670) time: 0.8600 data: 0.0002 max mem: 29859 [16:05:47.057561] Epoch: [62] [240/850] eta: 0:08:55 lr: 0.002395 loss: 0.0530 (0.0534) loss_rec_all: 0.0890 (0.0892) loss_rec_sfr: 0.1273 (0.1304) loss_cl: -0.3671 (-0.3670) time: 0.8633 data: 0.0002 max mem: 29859 [16:06:04.288051] Epoch: [62] [260/850] eta: 0:08:37 lr: 0.002395 loss: 0.0522 (0.0535) loss_rec_all: 0.0884 (0.0893) loss_rec_sfr: 0.1401 (0.1308) loss_cl: -0.3675 (-0.3671) time: 0.8615 data: 0.0002 max mem: 29859 [16:06:21.513027] Epoch: [62] [280/850] eta: 0:08:19 lr: 0.002395 loss: 0.0509 (0.0533) loss_rec_all: 0.0866 (0.0891) loss_rec_sfr: 0.1537 (0.1313) loss_cl: -0.3676 (-0.3671) time: 0.8612 data: 0.0002 max mem: 29859 [16:06:38.741351] Epoch: [62] [300/850] eta: 0:08:01 lr: 0.002395 loss: 0.0500 (0.0531) loss_rec_all: 0.0861 (0.0889) loss_rec_sfr: 0.1061 (0.1303) loss_cl: -0.3665 (-0.3671) time: 0.8614 data: 0.0002 max mem: 29859 [16:06:56.022506] Epoch: [62] [320/850] eta: 0:07:43 lr: 0.002395 loss: 0.0487 (0.0530) loss_rec_all: 0.0846 (0.0888) loss_rec_sfr: 0.1011 (0.1294) loss_cl: -0.3665 (-0.3670) time: 0.8640 data: 0.0002 max mem: 29859 [16:07:13.228065] Epoch: [62] [340/850] eta: 0:07:25 lr: 0.002395 loss: 0.0504 (0.0529) loss_rec_all: 0.0863 (0.0887) loss_rec_sfr: 0.1079 (0.1291) loss_cl: -0.3667 (-0.3670) time: 0.8602 data: 0.0002 max mem: 29859 [16:07:30.499984] Epoch: [62] [360/850] eta: 0:07:07 lr: 0.002395 loss: 0.0505 (0.0528) loss_rec_all: 0.0861 (0.0886) loss_rec_sfr: 0.1491 (0.1293) loss_cl: -0.3667 (-0.3670) time: 0.8635 data: 0.0002 max mem: 29859 [16:07:47.768778] Epoch: [62] [380/850] eta: 0:06:50 lr: 0.002395 loss: 0.0476 (0.0525) loss_rec_all: 0.0835 (0.0883) loss_rec_sfr: 0.1095 (0.1287) loss_cl: -0.3673 (-0.3670) time: 0.8634 data: 0.0002 max mem: 29859 [16:08:04.991977] Epoch: [62] [400/850] eta: 0:06:32 lr: 0.002395 loss: 0.0474 (0.0523) loss_rec_all: 0.0836 (0.0881) loss_rec_sfr: 0.1050 (0.1284) loss_cl: -0.3678 (-0.3670) time: 0.8611 data: 0.0002 max mem: 29859 [16:08:22.226440] Epoch: [62] [420/850] eta: 0:06:14 lr: 0.002395 loss: 0.0481 (0.0522) loss_rec_all: 0.0841 (0.0881) loss_rec_sfr: 0.1105 (0.1282) loss_cl: -0.3678 (-0.3671) time: 0.8617 data: 0.0002 max mem: 29859 [16:08:39.510076] Epoch: [62] [440/850] eta: 0:05:57 lr: 0.002395 loss: 0.0499 (0.0522) loss_rec_all: 0.0857 (0.0880) loss_rec_sfr: 0.1267 (0.1280) loss_cl: -0.3673 (-0.3671) time: 0.8641 data: 0.0002 max mem: 29859 [16:08:56.694107] Epoch: [62] [460/850] eta: 0:05:39 lr: 0.002395 loss: 0.0562 (0.0524) loss_rec_all: 0.0920 (0.0882) loss_rec_sfr: 0.1207 (0.1279) loss_cl: -0.3665 (-0.3670) time: 0.8592 data: 0.0002 max mem: 29859 [16:09:13.963153] Epoch: [62] [480/850] eta: 0:05:22 lr: 0.002395 loss: 0.0517 (0.0524) loss_rec_all: 0.0872 (0.0882) loss_rec_sfr: 0.1409 (0.1282) loss_cl: -0.3669 (-0.3670) time: 0.8634 data: 0.0002 max mem: 29859 [16:09:31.213738] Epoch: [62] [500/850] eta: 0:05:04 lr: 0.002395 loss: 0.0521 (0.0524) loss_rec_all: 0.0878 (0.0882) loss_rec_sfr: 0.1102 (0.1280) loss_cl: -0.3671 (-0.3670) time: 0.8625 data: 0.0002 max mem: 29859 [16:09:48.457430] Epoch: [62] [520/850] eta: 0:04:46 lr: 0.002395 loss: 0.0503 (0.0524) loss_rec_all: 0.0864 (0.0882) loss_rec_sfr: 0.1055 (0.1278) loss_cl: -0.3672 (-0.3670) time: 0.8621 data: 0.0002 max mem: 29859 [16:10:05.671698] Epoch: [62] [540/850] eta: 0:04:29 lr: 0.002395 loss: 0.0520 (0.0524) loss_rec_all: 0.0875 (0.0882) loss_rec_sfr: 0.1461 (0.1282) loss_cl: -0.3677 (-0.3670) time: 0.8607 data: 0.0002 max mem: 29859 [16:10:22.953582] Epoch: [62] [560/850] eta: 0:04:12 lr: 0.002395 loss: 0.0517 (0.0524) loss_rec_all: 0.0874 (0.0882) loss_rec_sfr: 0.1107 (0.1284) loss_cl: -0.3667 (-0.3670) time: 0.8640 data: 0.0002 max mem: 29859 [16:10:40.144952] Epoch: [62] [580/850] eta: 0:03:54 lr: 0.002395 loss: 0.0495 (0.0523) loss_rec_all: 0.0855 (0.0881) loss_rec_sfr: 0.1073 (0.1283) loss_cl: -0.3668 (-0.3670) time: 0.8595 data: 0.0002 max mem: 29859 [16:10:57.387150] Epoch: [62] [600/850] eta: 0:03:37 lr: 0.002395 loss: 0.0519 (0.0523) loss_rec_all: 0.0878 (0.0881) loss_rec_sfr: 0.1327 (0.1288) loss_cl: -0.3669 (-0.3670) time: 0.8620 data: 0.0002 max mem: 29859 [16:11:14.620867] Epoch: [62] [620/850] eta: 0:03:19 lr: 0.002395 loss: 0.0538 (0.0524) loss_rec_all: 0.0895 (0.0882) loss_rec_sfr: 0.1398 (0.1294) loss_cl: -0.3673 (-0.3670) time: 0.8616 data: 0.0002 max mem: 29859 [16:11:31.850017] Epoch: [62] [640/850] eta: 0:03:02 lr: 0.002395 loss: 0.0506 (0.0524) loss_rec_all: 0.0866 (0.0882) loss_rec_sfr: 0.1063 (0.1292) loss_cl: -0.3674 (-0.3670) time: 0.8614 data: 0.0002 max mem: 29859 [16:11:49.042456] Epoch: [62] [660/850] eta: 0:02:44 lr: 0.002395 loss: 0.0494 (0.0524) loss_rec_all: 0.0852 (0.0882) loss_rec_sfr: 0.1107 (0.1288) loss_cl: -0.3669 (-0.3670) time: 0.8596 data: 0.0002 max mem: 29859 [16:12:06.366934] Epoch: [62] [680/850] eta: 0:02:27 lr: 0.002395 loss: 0.0509 (0.0524) loss_rec_all: 0.0863 (0.0882) loss_rec_sfr: 0.1069 (0.1286) loss_cl: -0.3671 (-0.3670) time: 0.8662 data: 0.0003 max mem: 29859 [16:12:23.552240] Epoch: [62] [700/850] eta: 0:02:10 lr: 0.002395 loss: 0.0504 (0.0523) loss_rec_all: 0.0861 (0.0881) loss_rec_sfr: 0.1305 (0.1286) loss_cl: -0.3677 (-0.3670) time: 0.8592 data: 0.0002 max mem: 29859 [16:12:40.777199] Epoch: [62] [720/850] eta: 0:01:52 lr: 0.002395 loss: 0.0496 (0.0523) loss_rec_all: 0.0855 (0.0881) loss_rec_sfr: 0.1115 (0.1284) loss_cl: -0.3679 (-0.3671) time: 0.8612 data: 0.0002 max mem: 29859 [16:12:58.059821] Epoch: [62] [740/850] eta: 0:01:35 lr: 0.002395 loss: 0.0505 (0.0523) loss_rec_all: 0.0861 (0.0881) loss_rec_sfr: 0.1411 (0.1286) loss_cl: -0.3672 (-0.3671) time: 0.8640 data: 0.0003 max mem: 29859 [16:13:15.287291] Epoch: [62] [760/850] eta: 0:01:18 lr: 0.002395 loss: 0.0493 (0.0522) loss_rec_all: 0.0853 (0.0880) loss_rec_sfr: 0.1066 (0.1286) loss_cl: -0.3669 (-0.3670) time: 0.8613 data: 0.0002 max mem: 29859 [16:13:32.470390] Epoch: [62] [780/850] eta: 0:01:00 lr: 0.002395 loss: 0.0524 (0.0522) loss_rec_all: 0.0883 (0.0880) loss_rec_sfr: 0.1227 (0.1286) loss_cl: -0.3667 (-0.3670) time: 0.8591 data: 0.0002 max mem: 29859 [16:13:49.783409] Epoch: [62] [800/850] eta: 0:00:43 lr: 0.002395 loss: 0.0531 (0.0523) loss_rec_all: 0.0888 (0.0881) loss_rec_sfr: 0.1399 (0.1288) loss_cl: -0.3669 (-0.3670) time: 0.8656 data: 0.0003 max mem: 29859 [16:14:06.991461] Epoch: [62] [820/850] eta: 0:00:26 lr: 0.002395 loss: 0.0543 (0.0524) loss_rec_all: 0.0897 (0.0882) loss_rec_sfr: 0.1451 (0.1292) loss_cl: -0.3672 (-0.3670) time: 0.8604 data: 0.0002 max mem: 29859 [16:14:24.232340] Epoch: [62] [840/850] eta: 0:00:08 lr: 0.002395 loss: 0.0538 (0.0525) loss_rec_all: 0.0897 (0.0883) loss_rec_sfr: 0.1149 (0.1290) loss_cl: -0.3669 (-0.3670) time: 0.8620 data: 0.0004 max mem: 29859 [16:14:31.983337] Epoch: [62] [849/850] eta: 0:00:00 lr: 0.002395 loss: 0.0538 (0.0525) loss_rec_all: 0.0897 (0.0883) loss_rec_sfr: 0.1169 (0.1291) loss_cl: -0.3670 (-0.3670) time: 0.8622 data: 0.0004 max mem: 29859 [16:14:32.140120] Epoch: [62] Total time: 0:12:16 (0.8668 s / it) [16:14:32.145592] Averaged stats: lr: 0.002395 loss: 0.0538 (0.0527) loss_rec_all: 0.0897 (0.0885) loss_rec_sfr: 0.1169 (0.1291) loss_cl: -0.3670 (-0.3670) [16:14:32.163948] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [16:14:36.670186] Epoch: [63] [ 0/850] eta: 1:03:49 lr: 0.002395 loss: 0.0464 (0.0464) loss_rec_all: 0.0826 (0.0826) loss_rec_sfr: 0.0840 (0.0840) loss_cl: -0.3675 (-0.3675) time: 4.5051 data: 3.6492 max mem: 29859 [16:14:53.832648] Epoch: [63] [ 20/850] eta: 0:14:16 lr: 0.002395 loss: 0.0503 (0.0514) loss_rec_all: 0.0859 (0.0871) loss_rec_sfr: 0.1356 (0.1341) loss_cl: -0.3669 (-0.3668) time: 0.8581 data: 0.0002 max mem: 29859 [16:15:11.059861] Epoch: [63] [ 40/850] eta: 0:12:48 lr: 0.002395 loss: 0.0490 (0.0507) loss_rec_all: 0.0850 (0.0865) loss_rec_sfr: 0.0895 (0.1276) loss_cl: -0.3673 (-0.3670) time: 0.8613 data: 0.0002 max mem: 29859 [16:15:28.328610] Epoch: [63] [ 60/850] eta: 0:12:07 lr: 0.002395 loss: 0.0491 (0.0508) loss_rec_all: 0.0849 (0.0866) loss_rec_sfr: 0.1096 (0.1251) loss_cl: -0.3679 (-0.3673) time: 0.8633 data: 0.0003 max mem: 29859 [16:15:45.589639] Epoch: [63] [ 80/850] eta: 0:11:37 lr: 0.002395 loss: 0.0489 (0.0507) loss_rec_all: 0.0847 (0.0865) loss_rec_sfr: 0.1084 (0.1246) loss_cl: -0.3677 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [16:16:02.782058] Epoch: [63] [100/850] eta: 0:11:12 lr: 0.002395 loss: 0.0511 (0.0511) loss_rec_all: 0.0867 (0.0869) loss_rec_sfr: 0.1421 (0.1285) loss_cl: -0.3674 (-0.3673) time: 0.8596 data: 0.0002 max mem: 29859 [16:16:20.063867] Epoch: [63] [120/850] eta: 0:10:50 lr: 0.002395 loss: 0.0497 (0.0511) loss_rec_all: 0.0853 (0.0869) loss_rec_sfr: 0.1483 (0.1307) loss_cl: -0.3665 (-0.3672) time: 0.8640 data: 0.0002 max mem: 29859 [16:16:37.315847] Epoch: [63] [140/850] eta: 0:10:30 lr: 0.002395 loss: 0.0492 (0.0511) loss_rec_all: 0.0851 (0.0869) loss_rec_sfr: 0.1081 (0.1297) loss_cl: -0.3667 (-0.3671) time: 0.8626 data: 0.0002 max mem: 29859 [16:16:54.550305] Epoch: [63] [160/850] eta: 0:10:10 lr: 0.002394 loss: 0.0495 (0.0509) loss_rec_all: 0.0855 (0.0867) loss_rec_sfr: 0.1059 (0.1282) loss_cl: -0.3669 (-0.3671) time: 0.8617 data: 0.0002 max mem: 29859 [16:17:11.783084] Epoch: [63] [180/850] eta: 0:09:50 lr: 0.002394 loss: 0.0466 (0.0507) loss_rec_all: 0.0825 (0.0866) loss_rec_sfr: 0.1080 (0.1274) loss_cl: -0.3669 (-0.3671) time: 0.8616 data: 0.0002 max mem: 29859 [16:17:29.064098] Epoch: [63] [200/850] eta: 0:09:32 lr: 0.002394 loss: 0.0501 (0.0509) loss_rec_all: 0.0860 (0.0867) loss_rec_sfr: 0.1429 (0.1284) loss_cl: -0.3671 (-0.3671) time: 0.8640 data: 0.0002 max mem: 29859 [16:17:46.263265] Epoch: [63] [220/850] eta: 0:09:13 lr: 0.002394 loss: 0.0500 (0.0510) loss_rec_all: 0.0859 (0.0868) loss_rec_sfr: 0.1339 (0.1283) loss_cl: -0.3670 (-0.3671) time: 0.8599 data: 0.0001 max mem: 29859 [16:18:03.536721] Epoch: [63] [240/850] eta: 0:08:54 lr: 0.002394 loss: 0.0519 (0.0512) loss_rec_all: 0.0879 (0.0870) loss_rec_sfr: 0.1053 (0.1279) loss_cl: -0.3672 (-0.3671) time: 0.8636 data: 0.0002 max mem: 29859 [16:18:20.784010] Epoch: [63] [260/850] eta: 0:08:36 lr: 0.002394 loss: 0.0504 (0.0513) loss_rec_all: 0.0864 (0.0871) loss_rec_sfr: 0.1163 (0.1278) loss_cl: -0.3673 (-0.3671) time: 0.8623 data: 0.0002 max mem: 29859 [16:18:38.020900] Epoch: [63] [280/850] eta: 0:08:18 lr: 0.002394 loss: 0.0493 (0.0512) loss_rec_all: 0.0854 (0.0870) loss_rec_sfr: 0.1079 (0.1270) loss_cl: -0.3676 (-0.3671) time: 0.8618 data: 0.0002 max mem: 29859 [16:18:55.247247] Epoch: [63] [300/850] eta: 0:08:00 lr: 0.002394 loss: 0.0520 (0.0513) loss_rec_all: 0.0877 (0.0871) loss_rec_sfr: 0.1526 (0.1279) loss_cl: -0.3680 (-0.3672) time: 0.8613 data: 0.0002 max mem: 29859 [16:19:12.515540] Epoch: [63] [320/850] eta: 0:07:42 lr: 0.002394 loss: 0.0508 (0.0514) loss_rec_all: 0.0865 (0.0872) loss_rec_sfr: 0.1040 (0.1283) loss_cl: -0.3676 (-0.3672) time: 0.8634 data: 0.0002 max mem: 29859 [16:19:29.718144] Epoch: [63] [340/850] eta: 0:07:24 lr: 0.002394 loss: 0.0509 (0.0515) loss_rec_all: 0.0870 (0.0874) loss_rec_sfr: 0.1430 (0.1287) loss_cl: -0.3672 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [16:19:46.985951] Epoch: [63] [360/850] eta: 0:07:07 lr: 0.002394 loss: 0.0496 (0.0515) loss_rec_all: 0.0851 (0.0873) loss_rec_sfr: 0.1345 (0.1287) loss_cl: -0.3668 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [16:20:04.233926] Epoch: [63] [380/850] eta: 0:06:49 lr: 0.002394 loss: 0.0474 (0.0513) loss_rec_all: 0.0831 (0.0871) loss_rec_sfr: 0.1474 (0.1289) loss_cl: -0.3662 (-0.3671) time: 0.8623 data: 0.0002 max mem: 29859 [16:20:21.466820] Epoch: [63] [400/850] eta: 0:06:31 lr: 0.002394 loss: 0.0484 (0.0513) loss_rec_all: 0.0839 (0.0871) loss_rec_sfr: 0.1305 (0.1287) loss_cl: -0.3663 (-0.3671) time: 0.8616 data: 0.0002 max mem: 29859 [16:20:38.691806] Epoch: [63] [420/850] eta: 0:06:14 lr: 0.002394 loss: 0.0471 (0.0511) loss_rec_all: 0.0828 (0.0869) loss_rec_sfr: 0.0884 (0.1277) loss_cl: -0.3666 (-0.3670) time: 0.8612 data: 0.0002 max mem: 29859 [16:20:55.992974] Epoch: [63] [440/850] eta: 0:05:56 lr: 0.002394 loss: 0.0501 (0.0511) loss_rec_all: 0.0862 (0.0869) loss_rec_sfr: 0.1305 (0.1280) loss_cl: -0.3666 (-0.3670) time: 0.8650 data: 0.0002 max mem: 29859 [16:21:13.206999] Epoch: [63] [460/850] eta: 0:05:39 lr: 0.002394 loss: 0.0477 (0.0510) loss_rec_all: 0.0837 (0.0869) loss_rec_sfr: 0.1316 (0.1280) loss_cl: -0.3672 (-0.3670) time: 0.8607 data: 0.0002 max mem: 29859 [16:21:30.469265] Epoch: [63] [480/850] eta: 0:05:21 lr: 0.002394 loss: 0.0477 (0.0510) loss_rec_all: 0.0839 (0.0868) loss_rec_sfr: 0.1408 (0.1280) loss_cl: -0.3679 (-0.3671) time: 0.8631 data: 0.0002 max mem: 29859 [16:21:47.714317] Epoch: [63] [500/850] eta: 0:05:04 lr: 0.002394 loss: 0.0610 (0.0516) loss_rec_all: 0.0965 (0.0874) loss_rec_sfr: 0.1675 (0.1293) loss_cl: -0.3676 (-0.3671) time: 0.8622 data: 0.0002 max mem: 29859 [16:22:04.925495] Epoch: [63] [520/850] eta: 0:04:46 lr: 0.002394 loss: 0.0561 (0.0518) loss_rec_all: 0.0917 (0.0876) loss_rec_sfr: 0.1153 (0.1298) loss_cl: -0.3679 (-0.3671) time: 0.8605 data: 0.0001 max mem: 29859 [16:22:22.150820] Epoch: [63] [540/850] eta: 0:04:29 lr: 0.002394 loss: 0.0544 (0.0519) loss_rec_all: 0.0900 (0.0877) loss_rec_sfr: 0.1182 (0.1298) loss_cl: -0.3670 (-0.3671) time: 0.8612 data: 0.0002 max mem: 29859 [16:22:39.459255] Epoch: [63] [560/850] eta: 0:04:11 lr: 0.002394 loss: 0.0559 (0.0521) loss_rec_all: 0.0919 (0.0879) loss_rec_sfr: 0.1162 (0.1298) loss_cl: -0.3674 (-0.3671) time: 0.8654 data: 0.0003 max mem: 29859 [16:22:56.660287] Epoch: [63] [580/850] eta: 0:03:54 lr: 0.002394 loss: 0.0529 (0.0522) loss_rec_all: 0.0886 (0.0880) loss_rec_sfr: 0.1164 (0.1299) loss_cl: -0.3679 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [16:23:13.914788] Epoch: [63] [600/850] eta: 0:03:37 lr: 0.002394 loss: 0.0516 (0.0522) loss_rec_all: 0.0877 (0.0880) loss_rec_sfr: 0.1115 (0.1299) loss_cl: -0.3673 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [16:23:31.183270] Epoch: [63] [620/850] eta: 0:03:19 lr: 0.002394 loss: 0.0501 (0.0522) loss_rec_all: 0.0861 (0.0880) loss_rec_sfr: 0.1435 (0.1301) loss_cl: -0.3662 (-0.3671) time: 0.8634 data: 0.0002 max mem: 29859 [16:23:48.404101] Epoch: [63] [640/850] eta: 0:03:02 lr: 0.002394 loss: 0.0513 (0.0522) loss_rec_all: 0.0867 (0.0880) loss_rec_sfr: 0.1271 (0.1299) loss_cl: -0.3656 (-0.3671) time: 0.8610 data: 0.0002 max mem: 29859 [16:24:05.607954] Epoch: [63] [660/850] eta: 0:02:44 lr: 0.002394 loss: 0.0506 (0.0523) loss_rec_all: 0.0861 (0.0881) loss_rec_sfr: 0.1368 (0.1299) loss_cl: -0.3659 (-0.3670) time: 0.8601 data: 0.0002 max mem: 29859 [16:24:22.901755] Epoch: [63] [680/850] eta: 0:02:27 lr: 0.002394 loss: 0.0493 (0.0523) loss_rec_all: 0.0854 (0.0881) loss_rec_sfr: 0.1007 (0.1296) loss_cl: -0.3674 (-0.3670) time: 0.8646 data: 0.0002 max mem: 29859 [16:24:40.096899] Epoch: [63] [700/850] eta: 0:02:10 lr: 0.002394 loss: 0.0504 (0.0522) loss_rec_all: 0.0862 (0.0880) loss_rec_sfr: 0.1541 (0.1301) loss_cl: -0.3679 (-0.3671) time: 0.8597 data: 0.0002 max mem: 29859 [16:24:57.341558] Epoch: [63] [720/850] eta: 0:01:52 lr: 0.002394 loss: 0.0497 (0.0522) loss_rec_all: 0.0855 (0.0880) loss_rec_sfr: 0.1323 (0.1303) loss_cl: -0.3677 (-0.3671) time: 0.8622 data: 0.0002 max mem: 29859 [16:25:14.619341] Epoch: [63] [740/850] eta: 0:01:35 lr: 0.002394 loss: 0.0489 (0.0522) loss_rec_all: 0.0844 (0.0880) loss_rec_sfr: 0.1327 (0.1302) loss_cl: -0.3670 (-0.3671) time: 0.8638 data: 0.0003 max mem: 29859 [16:25:31.841069] Epoch: [63] [760/850] eta: 0:01:18 lr: 0.002394 loss: 0.0505 (0.0522) loss_rec_all: 0.0864 (0.0879) loss_rec_sfr: 0.1284 (0.1303) loss_cl: -0.3665 (-0.3671) time: 0.8610 data: 0.0002 max mem: 29859 [16:25:49.038352] Epoch: [63] [780/850] eta: 0:01:00 lr: 0.002394 loss: 0.0498 (0.0521) loss_rec_all: 0.0858 (0.0879) loss_rec_sfr: 0.0971 (0.1300) loss_cl: -0.3665 (-0.3670) time: 0.8598 data: 0.0002 max mem: 29859 [16:26:06.368562] Epoch: [63] [800/850] eta: 0:00:43 lr: 0.002394 loss: 0.0480 (0.0521) loss_rec_all: 0.0836 (0.0878) loss_rec_sfr: 0.1536 (0.1303) loss_cl: -0.3669 (-0.3670) time: 0.8665 data: 0.0003 max mem: 29859 [16:26:23.573242] Epoch: [63] [820/850] eta: 0:00:25 lr: 0.002394 loss: 0.0488 (0.0520) loss_rec_all: 0.0846 (0.0878) loss_rec_sfr: 0.1200 (0.1303) loss_cl: -0.3672 (-0.3670) time: 0.8602 data: 0.0002 max mem: 29859 [16:26:40.813652] Epoch: [63] [840/850] eta: 0:00:08 lr: 0.002394 loss: 0.0517 (0.0520) loss_rec_all: 0.0874 (0.0878) loss_rec_sfr: 0.1147 (0.1302) loss_cl: -0.3675 (-0.3671) time: 0.8619 data: 0.0004 max mem: 29859 [16:26:48.576917] Epoch: [63] [849/850] eta: 0:00:00 lr: 0.002394 loss: 0.0507 (0.0520) loss_rec_all: 0.0867 (0.0878) loss_rec_sfr: 0.1378 (0.1303) loss_cl: -0.3674 (-0.3671) time: 0.8629 data: 0.0004 max mem: 29859 [16:26:48.738024] Epoch: [63] Total time: 0:12:16 (0.8666 s / it) [16:26:48.747002] Averaged stats: lr: 0.002394 loss: 0.0507 (0.0519) loss_rec_all: 0.0867 (0.0877) loss_rec_sfr: 0.1378 (0.1280) loss_cl: -0.3674 (-0.3671) [16:26:48.760842] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [16:26:53.635538] Epoch: [64] [ 0/850] eta: 1:09:02 lr: 0.002394 loss: 0.0481 (0.0481) loss_rec_all: 0.0841 (0.0841) loss_rec_sfr: 0.1050 (0.1050) loss_cl: -0.3671 (-0.3671) time: 4.8738 data: 3.7541 max mem: 29859 [16:27:10.800266] Epoch: [64] [ 20/850] eta: 0:14:31 lr: 0.002394 loss: 0.0489 (0.0496) loss_rec_all: 0.0850 (0.0855) loss_rec_sfr: 0.1055 (0.1243) loss_cl: -0.3677 (-0.3676) time: 0.8582 data: 0.0002 max mem: 29859 [16:27:28.028111] Epoch: [64] [ 40/850] eta: 0:12:55 lr: 0.002394 loss: 0.0480 (0.0497) loss_rec_all: 0.0837 (0.0856) loss_rec_sfr: 0.1043 (0.1209) loss_cl: -0.3669 (-0.3671) time: 0.8613 data: 0.0002 max mem: 29859 [16:27:45.302419] Epoch: [64] [ 60/850] eta: 0:12:12 lr: 0.002394 loss: 0.0480 (0.0496) loss_rec_all: 0.0836 (0.0854) loss_rec_sfr: 0.1061 (0.1201) loss_cl: -0.3669 (-0.3670) time: 0.8636 data: 0.0003 max mem: 29859 [16:28:02.526287] Epoch: [64] [ 80/850] eta: 0:11:41 lr: 0.002394 loss: 0.0501 (0.0502) loss_rec_all: 0.0859 (0.0860) loss_rec_sfr: 0.1149 (0.1221) loss_cl: -0.3669 (-0.3670) time: 0.8611 data: 0.0002 max mem: 29859 [16:28:19.730438] Epoch: [64] [100/850] eta: 0:11:15 lr: 0.002394 loss: 0.0479 (0.0502) loss_rec_all: 0.0838 (0.0860) loss_rec_sfr: 0.1380 (0.1240) loss_cl: -0.3671 (-0.3671) time: 0.8601 data: 0.0002 max mem: 29859 [16:28:37.047495] Epoch: [64] [120/850] eta: 0:10:53 lr: 0.002394 loss: 0.0475 (0.0500) loss_rec_all: 0.0837 (0.0859) loss_rec_sfr: 0.1333 (0.1244) loss_cl: -0.3683 (-0.3672) time: 0.8658 data: 0.0003 max mem: 29859 [16:28:54.255233] Epoch: [64] [140/850] eta: 0:10:31 lr: 0.002394 loss: 0.0481 (0.0499) loss_rec_all: 0.0840 (0.0857) loss_rec_sfr: 0.1028 (0.1246) loss_cl: -0.3676 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [16:29:11.497360] Epoch: [64] [160/850] eta: 0:10:11 lr: 0.002394 loss: 0.0491 (0.0499) loss_rec_all: 0.0851 (0.0858) loss_rec_sfr: 0.1059 (0.1231) loss_cl: -0.3666 (-0.3671) time: 0.8621 data: 0.0002 max mem: 29859 [16:29:28.745692] Epoch: [64] [180/850] eta: 0:09:52 lr: 0.002394 loss: 0.0474 (0.0499) loss_rec_all: 0.0835 (0.0857) loss_rec_sfr: 0.1081 (0.1229) loss_cl: -0.3667 (-0.3671) time: 0.8624 data: 0.0002 max mem: 29859 [16:29:46.019361] Epoch: [64] [200/850] eta: 0:09:33 lr: 0.002394 loss: 0.0488 (0.0500) loss_rec_all: 0.0845 (0.0859) loss_rec_sfr: 0.1331 (0.1234) loss_cl: -0.3673 (-0.3671) time: 0.8636 data: 0.0002 max mem: 29859 [16:30:03.224742] Epoch: [64] [220/850] eta: 0:09:14 lr: 0.002394 loss: 0.0495 (0.0500) loss_rec_all: 0.0854 (0.0859) loss_rec_sfr: 0.1065 (0.1239) loss_cl: -0.3667 (-0.3671) time: 0.8602 data: 0.0002 max mem: 29859 [16:30:20.526717] Epoch: [64] [240/850] eta: 0:08:55 lr: 0.002394 loss: 0.0511 (0.0503) loss_rec_all: 0.0870 (0.0861) loss_rec_sfr: 0.1333 (0.1252) loss_cl: -0.3667 (-0.3671) time: 0.8650 data: 0.0002 max mem: 29859 [16:30:37.773005] Epoch: [64] [260/850] eta: 0:08:37 lr: 0.002394 loss: 0.0503 (0.0504) loss_rec_all: 0.0863 (0.0862) loss_rec_sfr: 0.1182 (0.1253) loss_cl: -0.3673 (-0.3671) time: 0.8623 data: 0.0002 max mem: 29859 [16:30:55.020493] Epoch: [64] [280/850] eta: 0:08:19 lr: 0.002394 loss: 0.0505 (0.0504) loss_rec_all: 0.0863 (0.0862) loss_rec_sfr: 0.1102 (0.1253) loss_cl: -0.3678 (-0.3671) time: 0.8623 data: 0.0002 max mem: 29859 [16:31:12.268274] Epoch: [64] [300/850] eta: 0:08:01 lr: 0.002394 loss: 0.0460 (0.0502) loss_rec_all: 0.0821 (0.0860) loss_rec_sfr: 0.0878 (0.1238) loss_cl: -0.3674 (-0.3671) time: 0.8623 data: 0.0002 max mem: 29859 [16:31:29.534101] Epoch: [64] [320/850] eta: 0:07:43 lr: 0.002394 loss: 0.0481 (0.0501) loss_rec_all: 0.0839 (0.0860) loss_rec_sfr: 0.1289 (0.1238) loss_cl: -0.3671 (-0.3671) time: 0.8632 data: 0.0002 max mem: 29859 [16:31:46.742008] Epoch: [64] [340/850] eta: 0:07:25 lr: 0.002394 loss: 0.0474 (0.0500) loss_rec_all: 0.0834 (0.0859) loss_rec_sfr: 0.1093 (0.1235) loss_cl: -0.3670 (-0.3671) time: 0.8603 data: 0.0002 max mem: 29859 [16:32:04.027765] Epoch: [64] [360/850] eta: 0:07:07 lr: 0.002394 loss: 0.0478 (0.0499) loss_rec_all: 0.0837 (0.0858) loss_rec_sfr: 0.1059 (0.1231) loss_cl: -0.3673 (-0.3671) time: 0.8642 data: 0.0002 max mem: 29859 [16:32:21.277414] Epoch: [64] [380/850] eta: 0:06:50 lr: 0.002394 loss: 0.0482 (0.0499) loss_rec_all: 0.0837 (0.0858) loss_rec_sfr: 0.1295 (0.1234) loss_cl: -0.3670 (-0.3671) time: 0.8624 data: 0.0002 max mem: 29859 [16:32:38.521631] Epoch: [64] [400/850] eta: 0:06:32 lr: 0.002394 loss: 0.0482 (0.0499) loss_rec_all: 0.0837 (0.0857) loss_rec_sfr: 0.1139 (0.1234) loss_cl: -0.3672 (-0.3671) time: 0.8622 data: 0.0002 max mem: 29859 [16:32:55.768834] Epoch: [64] [420/850] eta: 0:06:14 lr: 0.002394 loss: 0.0477 (0.0498) loss_rec_all: 0.0838 (0.0857) loss_rec_sfr: 0.1007 (0.1233) loss_cl: -0.3673 (-0.3671) time: 0.8623 data: 0.0002 max mem: 29859 [16:33:13.095302] Epoch: [64] [440/850] eta: 0:05:57 lr: 0.002394 loss: 0.0478 (0.0498) loss_rec_all: 0.0839 (0.0857) loss_rec_sfr: 0.0960 (0.1231) loss_cl: -0.3674 (-0.3671) time: 0.8663 data: 0.0002 max mem: 29859 [16:33:30.302953] Epoch: [64] [460/850] eta: 0:05:39 lr: 0.002394 loss: 0.0526 (0.0500) loss_rec_all: 0.0879 (0.0858) loss_rec_sfr: 0.1452 (0.1239) loss_cl: -0.3676 (-0.3671) time: 0.8603 data: 0.0002 max mem: 29859 [16:33:47.582027] Epoch: [64] [480/850] eta: 0:05:22 lr: 0.002394 loss: 0.0498 (0.0500) loss_rec_all: 0.0857 (0.0859) loss_rec_sfr: 0.1307 (0.1242) loss_cl: -0.3674 (-0.3671) time: 0.8639 data: 0.0003 max mem: 29859 [16:34:04.853111] Epoch: [64] [500/850] eta: 0:05:04 lr: 0.002394 loss: 0.0483 (0.0500) loss_rec_all: 0.0841 (0.0858) loss_rec_sfr: 0.1045 (0.1241) loss_cl: -0.3666 (-0.3671) time: 0.8634 data: 0.0002 max mem: 29859 [16:34:22.101623] Epoch: [64] [520/850] eta: 0:04:47 lr: 0.002394 loss: 0.0483 (0.0499) loss_rec_all: 0.0842 (0.0858) loss_rec_sfr: 0.1443 (0.1245) loss_cl: -0.3670 (-0.3671) time: 0.8624 data: 0.0002 max mem: 29859 [16:34:39.336108] Epoch: [64] [540/850] eta: 0:04:29 lr: 0.002394 loss: 0.0511 (0.0500) loss_rec_all: 0.0868 (0.0858) loss_rec_sfr: 0.1380 (0.1248) loss_cl: -0.3669 (-0.3671) time: 0.8617 data: 0.0002 max mem: 29859 [16:34:56.648603] Epoch: [64] [560/850] eta: 0:04:12 lr: 0.002394 loss: 0.0506 (0.0501) loss_rec_all: 0.0866 (0.0859) loss_rec_sfr: 0.1046 (0.1250) loss_cl: -0.3668 (-0.3671) time: 0.8656 data: 0.0002 max mem: 29859 [16:35:13.858555] Epoch: [64] [580/850] eta: 0:03:54 lr: 0.002394 loss: 0.0489 (0.0501) loss_rec_all: 0.0847 (0.0859) loss_rec_sfr: 0.1128 (0.1249) loss_cl: -0.3666 (-0.3671) time: 0.8605 data: 0.0002 max mem: 29859 [16:35:31.127242] Epoch: [64] [600/850] eta: 0:03:37 lr: 0.002394 loss: 0.0473 (0.0501) loss_rec_all: 0.0833 (0.0859) loss_rec_sfr: 0.1036 (0.1248) loss_cl: -0.3671 (-0.3671) time: 0.8634 data: 0.0002 max mem: 29859 [16:35:48.393877] Epoch: [64] [620/850] eta: 0:03:19 lr: 0.002394 loss: 0.0503 (0.0501) loss_rec_all: 0.0861 (0.0859) loss_rec_sfr: 0.1407 (0.1250) loss_cl: -0.3670 (-0.3671) time: 0.8633 data: 0.0002 max mem: 29859 [16:36:05.624948] Epoch: [64] [640/850] eta: 0:03:02 lr: 0.002394 loss: 0.0481 (0.0501) loss_rec_all: 0.0841 (0.0859) loss_rec_sfr: 0.0981 (0.1246) loss_cl: -0.3671 (-0.3671) time: 0.8615 data: 0.0002 max mem: 29859 [16:36:22.838375] Epoch: [64] [660/850] eta: 0:02:45 lr: 0.002394 loss: 0.0480 (0.0500) loss_rec_all: 0.0838 (0.0859) loss_rec_sfr: 0.1021 (0.1245) loss_cl: -0.3671 (-0.3671) time: 0.8606 data: 0.0002 max mem: 29859 [16:36:40.179862] Epoch: [64] [680/850] eta: 0:02:27 lr: 0.002394 loss: 0.0482 (0.0500) loss_rec_all: 0.0844 (0.0859) loss_rec_sfr: 0.1317 (0.1246) loss_cl: -0.3673 (-0.3671) time: 0.8670 data: 0.0003 max mem: 29859 [16:36:57.389050] Epoch: [64] [700/850] eta: 0:02:10 lr: 0.002394 loss: 0.0501 (0.0501) loss_rec_all: 0.0860 (0.0859) loss_rec_sfr: 0.1241 (0.1249) loss_cl: -0.3673 (-0.3671) time: 0.8604 data: 0.0002 max mem: 29859 [16:37:14.657521] Epoch: [64] [720/850] eta: 0:01:52 lr: 0.002394 loss: 0.0525 (0.0502) loss_rec_all: 0.0885 (0.0860) loss_rec_sfr: 0.1000 (0.1250) loss_cl: -0.3679 (-0.3671) time: 0.8634 data: 0.0002 max mem: 29859 [16:37:31.939973] Epoch: [64] [740/850] eta: 0:01:35 lr: 0.002394 loss: 0.0498 (0.0502) loss_rec_all: 0.0859 (0.0861) loss_rec_sfr: 0.1140 (0.1250) loss_cl: -0.3680 (-0.3671) time: 0.8641 data: 0.0002 max mem: 29859 [16:37:49.185633] Epoch: [64] [760/850] eta: 0:01:18 lr: 0.002394 loss: 0.0507 (0.0503) loss_rec_all: 0.0867 (0.0861) loss_rec_sfr: 0.1437 (0.1254) loss_cl: -0.3667 (-0.3671) time: 0.8622 data: 0.0002 max mem: 29859 [16:38:06.385008] Epoch: [64] [780/850] eta: 0:01:00 lr: 0.002394 loss: 0.0521 (0.0503) loss_rec_all: 0.0880 (0.0862) loss_rec_sfr: 0.1170 (0.1257) loss_cl: -0.3673 (-0.3671) time: 0.8599 data: 0.0002 max mem: 29859 [16:38:23.684919] Epoch: [64] [800/850] eta: 0:00:43 lr: 0.002394 loss: 0.0527 (0.0504) loss_rec_all: 0.0883 (0.0863) loss_rec_sfr: 0.1113 (0.1256) loss_cl: -0.3673 (-0.3671) time: 0.8649 data: 0.0002 max mem: 29859 [16:38:40.894819] Epoch: [64] [820/850] eta: 0:00:26 lr: 0.002394 loss: 0.0558 (0.0507) loss_rec_all: 0.0918 (0.0865) loss_rec_sfr: 0.1511 (0.1261) loss_cl: -0.3670 (-0.3671) time: 0.8605 data: 0.0002 max mem: 29859 [16:38:58.145822] Epoch: [64] [840/850] eta: 0:00:08 lr: 0.002394 loss: 0.0509 (0.0507) loss_rec_all: 0.0866 (0.0865) loss_rec_sfr: 0.1098 (0.1261) loss_cl: -0.3673 (-0.3671) time: 0.8625 data: 0.0004 max mem: 29859 [16:39:05.910574] Epoch: [64] [849/850] eta: 0:00:00 lr: 0.002394 loss: 0.0509 (0.0507) loss_rec_all: 0.0866 (0.0865) loss_rec_sfr: 0.1198 (0.1261) loss_cl: -0.3674 (-0.3671) time: 0.8632 data: 0.0004 max mem: 29859 [16:39:06.108406] Epoch: [64] Total time: 0:12:17 (0.8675 s / it) [16:39:06.117677] Averaged stats: lr: 0.002394 loss: 0.0509 (0.0507) loss_rec_all: 0.0866 (0.0865) loss_rec_sfr: 0.1198 (0.1275) loss_cl: -0.3674 (-0.3671) [16:39:06.133108] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [16:39:11.299233] Epoch: [65] [ 0/850] eta: 1:13:10 lr: 0.002394 loss: 0.0463 (0.0463) loss_rec_all: 0.0820 (0.0820) loss_rec_sfr: 0.1452 (0.1452) loss_cl: -0.3672 (-0.3672) time: 5.1654 data: 4.2468 max mem: 29859 [16:39:28.455002] Epoch: [65] [ 20/850] eta: 0:14:42 lr: 0.002394 loss: 0.0495 (0.0512) loss_rec_all: 0.0855 (0.0871) loss_rec_sfr: 0.1072 (0.1228) loss_cl: -0.3672 (-0.3671) time: 0.8578 data: 0.0001 max mem: 29859 [16:39:45.660128] Epoch: [65] [ 40/850] eta: 0:13:00 lr: 0.002394 loss: 0.0508 (0.0509) loss_rec_all: 0.0863 (0.0867) loss_rec_sfr: 0.1329 (0.1287) loss_cl: -0.3664 (-0.3668) time: 0.8602 data: 0.0002 max mem: 29859 [16:40:02.907888] Epoch: [65] [ 60/850] eta: 0:12:15 lr: 0.002394 loss: 0.0473 (0.0501) loss_rec_all: 0.0833 (0.0858) loss_rec_sfr: 0.0976 (0.1249) loss_cl: -0.3664 (-0.3666) time: 0.8623 data: 0.0003 max mem: 29859 [16:40:20.169430] Epoch: [65] [ 80/850] eta: 0:11:43 lr: 0.002394 loss: 0.0477 (0.0498) loss_rec_all: 0.0838 (0.0856) loss_rec_sfr: 0.1334 (0.1257) loss_cl: -0.3670 (-0.3667) time: 0.8630 data: 0.0002 max mem: 29859 [16:40:37.370133] Epoch: [65] [100/850] eta: 0:11:17 lr: 0.002394 loss: 0.0469 (0.0494) loss_rec_all: 0.0831 (0.0852) loss_rec_sfr: 0.1305 (0.1255) loss_cl: -0.3677 (-0.3669) time: 0.8600 data: 0.0002 max mem: 29859 [16:40:54.689191] Epoch: [65] [120/850] eta: 0:10:54 lr: 0.002394 loss: 0.0460 (0.0490) loss_rec_all: 0.0820 (0.0849) loss_rec_sfr: 0.1060 (0.1245) loss_cl: -0.3679 (-0.3671) time: 0.8659 data: 0.0002 max mem: 29859 [16:41:11.941707] Epoch: [65] [140/850] eta: 0:10:33 lr: 0.002394 loss: 0.0471 (0.0490) loss_rec_all: 0.0830 (0.0849) loss_rec_sfr: 0.1230 (0.1238) loss_cl: -0.3680 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [16:41:29.186441] Epoch: [65] [160/850] eta: 0:10:13 lr: 0.002394 loss: 0.0457 (0.0487) loss_rec_all: 0.0814 (0.0845) loss_rec_sfr: 0.1012 (0.1233) loss_cl: -0.3672 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [16:41:46.413578] Epoch: [65] [180/850] eta: 0:09:53 lr: 0.002393 loss: 0.0477 (0.0487) loss_rec_all: 0.0832 (0.0846) loss_rec_sfr: 0.1271 (0.1236) loss_cl: -0.3660 (-0.3671) time: 0.8613 data: 0.0002 max mem: 29859 [16:42:03.696364] Epoch: [65] [200/850] eta: 0:09:34 lr: 0.002393 loss: 0.0486 (0.0489) loss_rec_all: 0.0841 (0.0847) loss_rec_sfr: 0.1316 (0.1244) loss_cl: -0.3662 (-0.3670) time: 0.8641 data: 0.0002 max mem: 29859 [16:42:20.903122] Epoch: [65] [220/850] eta: 0:09:15 lr: 0.002393 loss: 0.0492 (0.0491) loss_rec_all: 0.0851 (0.0849) loss_rec_sfr: 0.1358 (0.1245) loss_cl: -0.3662 (-0.3669) time: 0.8603 data: 0.0002 max mem: 29859 [16:42:38.215815] Epoch: [65] [240/850] eta: 0:08:56 lr: 0.002393 loss: 0.0485 (0.0493) loss_rec_all: 0.0844 (0.0851) loss_rec_sfr: 0.1345 (0.1251) loss_cl: -0.3670 (-0.3669) time: 0.8656 data: 0.0003 max mem: 29859 [16:42:55.454965] Epoch: [65] [260/850] eta: 0:08:38 lr: 0.002393 loss: 0.0456 (0.0491) loss_rec_all: 0.0814 (0.0849) loss_rec_sfr: 0.0876 (0.1233) loss_cl: -0.3674 (-0.3669) time: 0.8619 data: 0.0002 max mem: 29859 [16:43:12.695478] Epoch: [65] [280/850] eta: 0:08:20 lr: 0.002393 loss: 0.0479 (0.0491) loss_rec_all: 0.0838 (0.0849) loss_rec_sfr: 0.1272 (0.1235) loss_cl: -0.3676 (-0.3670) time: 0.8620 data: 0.0002 max mem: 29859 [16:43:29.939427] Epoch: [65] [300/850] eta: 0:08:02 lr: 0.002393 loss: 0.0457 (0.0490) loss_rec_all: 0.0817 (0.0849) loss_rec_sfr: 0.1229 (0.1233) loss_cl: -0.3679 (-0.3670) time: 0.8621 data: 0.0002 max mem: 29859 [16:43:47.206245] Epoch: [65] [320/850] eta: 0:07:44 lr: 0.002393 loss: 0.0474 (0.0490) loss_rec_all: 0.0829 (0.0849) loss_rec_sfr: 0.1057 (0.1229) loss_cl: -0.3669 (-0.3670) time: 0.8633 data: 0.0002 max mem: 29859 [16:44:04.411063] Epoch: [65] [340/850] eta: 0:07:26 lr: 0.002393 loss: 0.0537 (0.0495) loss_rec_all: 0.0897 (0.0853) loss_rec_sfr: 0.1432 (0.1238) loss_cl: -0.3667 (-0.3670) time: 0.8602 data: 0.0002 max mem: 29859 [16:44:21.687503] Epoch: [65] [360/850] eta: 0:07:08 lr: 0.002393 loss: 0.0536 (0.0499) loss_rec_all: 0.0891 (0.0857) loss_rec_sfr: 0.1496 (0.1245) loss_cl: -0.3670 (-0.3670) time: 0.8638 data: 0.0002 max mem: 29859 [16:44:38.912174] Epoch: [65] [380/850] eta: 0:06:50 lr: 0.002393 loss: 0.0536 (0.0501) loss_rec_all: 0.0894 (0.0860) loss_rec_sfr: 0.1106 (0.1248) loss_cl: -0.3673 (-0.3670) time: 0.8611 data: 0.0002 max mem: 29859 [16:44:56.148287] Epoch: [65] [400/850] eta: 0:06:32 lr: 0.002393 loss: 0.0517 (0.0504) loss_rec_all: 0.0872 (0.0862) loss_rec_sfr: 0.1404 (0.1254) loss_cl: -0.3676 (-0.3670) time: 0.8617 data: 0.0002 max mem: 29859 [16:45:13.369758] Epoch: [65] [420/850] eta: 0:06:15 lr: 0.002393 loss: 0.0503 (0.0505) loss_rec_all: 0.0860 (0.0863) loss_rec_sfr: 0.1448 (0.1259) loss_cl: -0.3675 (-0.3671) time: 0.8610 data: 0.0002 max mem: 29859 [16:45:30.683457] Epoch: [65] [440/850] eta: 0:05:57 lr: 0.002393 loss: 0.0497 (0.0505) loss_rec_all: 0.0854 (0.0864) loss_rec_sfr: 0.1406 (0.1264) loss_cl: -0.3675 (-0.3671) time: 0.8656 data: 0.0002 max mem: 29859 [16:45:47.886105] Epoch: [65] [460/850] eta: 0:05:39 lr: 0.002393 loss: 0.0479 (0.0505) loss_rec_all: 0.0838 (0.0863) loss_rec_sfr: 0.1456 (0.1270) loss_cl: -0.3672 (-0.3671) time: 0.8601 data: 0.0002 max mem: 29859 [16:46:05.144414] Epoch: [65] [480/850] eta: 0:05:22 lr: 0.002393 loss: 0.0486 (0.0504) loss_rec_all: 0.0844 (0.0863) loss_rec_sfr: 0.1095 (0.1271) loss_cl: -0.3665 (-0.3671) time: 0.8628 data: 0.0002 max mem: 29859 [16:46:22.405752] Epoch: [65] [500/850] eta: 0:05:04 lr: 0.002393 loss: 0.0485 (0.0504) loss_rec_all: 0.0841 (0.0862) loss_rec_sfr: 0.1334 (0.1272) loss_cl: -0.3666 (-0.3671) time: 0.8630 data: 0.0003 max mem: 29859 [16:46:39.641528] Epoch: [65] [520/850] eta: 0:04:47 lr: 0.002393 loss: 0.0481 (0.0504) loss_rec_all: 0.0838 (0.0862) loss_rec_sfr: 0.1141 (0.1272) loss_cl: -0.3670 (-0.3671) time: 0.8617 data: 0.0002 max mem: 29859 [16:46:56.843789] Epoch: [65] [540/850] eta: 0:04:29 lr: 0.002393 loss: 0.0457 (0.0502) loss_rec_all: 0.0817 (0.0861) loss_rec_sfr: 0.0986 (0.1265) loss_cl: -0.3669 (-0.3671) time: 0.8601 data: 0.0002 max mem: 29859 [16:47:14.138967] Epoch: [65] [560/850] eta: 0:04:12 lr: 0.002393 loss: 0.0475 (0.0502) loss_rec_all: 0.0830 (0.0860) loss_rec_sfr: 0.0964 (0.1263) loss_cl: -0.3667 (-0.3670) time: 0.8647 data: 0.0003 max mem: 29859 [16:47:31.342701] Epoch: [65] [580/850] eta: 0:03:54 lr: 0.002393 loss: 0.0474 (0.0501) loss_rec_all: 0.0831 (0.0859) loss_rec_sfr: 0.1279 (0.1263) loss_cl: -0.3671 (-0.3670) time: 0.8601 data: 0.0002 max mem: 29859 [16:47:48.587283] Epoch: [65] [600/850] eta: 0:03:37 lr: 0.002393 loss: 0.0449 (0.0500) loss_rec_all: 0.0809 (0.0858) loss_rec_sfr: 0.0962 (0.1257) loss_cl: -0.3672 (-0.3670) time: 0.8622 data: 0.0002 max mem: 29859 [16:48:05.844261] Epoch: [65] [620/850] eta: 0:03:19 lr: 0.002393 loss: 0.0475 (0.0500) loss_rec_all: 0.0836 (0.0858) loss_rec_sfr: 0.1066 (0.1252) loss_cl: -0.3675 (-0.3671) time: 0.8628 data: 0.0002 max mem: 29859 [16:48:23.089200] Epoch: [65] [640/850] eta: 0:03:02 lr: 0.002393 loss: 0.0536 (0.0502) loss_rec_all: 0.0891 (0.0860) loss_rec_sfr: 0.1430 (0.1254) loss_cl: -0.3675 (-0.3671) time: 0.8622 data: 0.0002 max mem: 29859 [16:48:40.298676] Epoch: [65] [660/850] eta: 0:02:45 lr: 0.002393 loss: 0.0525 (0.0503) loss_rec_all: 0.0881 (0.0861) loss_rec_sfr: 0.1190 (0.1256) loss_cl: -0.3670 (-0.3671) time: 0.8604 data: 0.0002 max mem: 29859 [16:48:57.637720] Epoch: [65] [680/850] eta: 0:02:27 lr: 0.002393 loss: 0.0496 (0.0503) loss_rec_all: 0.0856 (0.0862) loss_rec_sfr: 0.1026 (0.1255) loss_cl: -0.3668 (-0.3671) time: 0.8669 data: 0.0003 max mem: 29859 [16:49:14.829252] Epoch: [65] [700/850] eta: 0:02:10 lr: 0.002393 loss: 0.0533 (0.0505) loss_rec_all: 0.0887 (0.0863) loss_rec_sfr: 0.1410 (0.1257) loss_cl: -0.3666 (-0.3671) time: 0.8595 data: 0.0002 max mem: 29859 [16:49:32.041275] Epoch: [65] [720/850] eta: 0:01:52 lr: 0.002393 loss: 0.0492 (0.0505) loss_rec_all: 0.0846 (0.0863) loss_rec_sfr: 0.1063 (0.1258) loss_cl: -0.3656 (-0.3671) time: 0.8606 data: 0.0002 max mem: 29859 [16:49:49.297987] Epoch: [65] [740/850] eta: 0:01:35 lr: 0.002393 loss: 0.0499 (0.0505) loss_rec_all: 0.0858 (0.0863) loss_rec_sfr: 0.1405 (0.1260) loss_cl: -0.3668 (-0.3671) time: 0.8628 data: 0.0003 max mem: 29859 [16:50:06.573654] Epoch: [65] [760/850] eta: 0:01:18 lr: 0.002393 loss: 0.0487 (0.0505) loss_rec_all: 0.0849 (0.0863) loss_rec_sfr: 0.1152 (0.1260) loss_cl: -0.3680 (-0.3671) time: 0.8637 data: 0.0008 max mem: 29859 [16:50:23.743753] Epoch: [65] [780/850] eta: 0:01:00 lr: 0.002393 loss: 0.0466 (0.0504) loss_rec_all: 0.0826 (0.0862) loss_rec_sfr: 0.1079 (0.1258) loss_cl: -0.3673 (-0.3671) time: 0.8585 data: 0.0002 max mem: 29859 [16:50:40.980968] Epoch: [65] [800/850] eta: 0:00:43 lr: 0.002393 loss: 0.0465 (0.0504) loss_rec_all: 0.0820 (0.0862) loss_rec_sfr: 0.1246 (0.1257) loss_cl: -0.3657 (-0.3671) time: 0.8618 data: 0.0002 max mem: 29859 [16:50:58.173940] Epoch: [65] [820/850] eta: 0:00:26 lr: 0.002393 loss: 0.0469 (0.0503) loss_rec_all: 0.0826 (0.0862) loss_rec_sfr: 0.1334 (0.1256) loss_cl: -0.3656 (-0.3670) time: 0.8596 data: 0.0002 max mem: 29859 [16:51:15.430433] Epoch: [65] [840/850] eta: 0:00:08 lr: 0.002393 loss: 0.0458 (0.0502) loss_rec_all: 0.0817 (0.0861) loss_rec_sfr: 0.1036 (0.1254) loss_cl: -0.3658 (-0.3670) time: 0.8628 data: 0.0005 max mem: 29859 [16:51:23.158605] Epoch: [65] [849/850] eta: 0:00:00 lr: 0.002393 loss: 0.0463 (0.0502) loss_rec_all: 0.0822 (0.0860) loss_rec_sfr: 0.0910 (0.1251) loss_cl: -0.3661 (-0.3670) time: 0.8620 data: 0.0005 max mem: 29859 [16:51:23.301986] Epoch: [65] Total time: 0:12:17 (0.8673 s / it) [16:51:23.303721] Averaged stats: lr: 0.002393 loss: 0.0463 (0.0500) loss_rec_all: 0.0822 (0.0858) loss_rec_sfr: 0.0910 (0.1252) loss_cl: -0.3661 (-0.3670) [16:51:23.308808] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [16:51:27.629594] Epoch: [66] [ 0/850] eta: 1:01:11 lr: 0.002393 loss: 0.0454 (0.0454) loss_rec_all: 0.0810 (0.0810) loss_rec_sfr: 0.1611 (0.1611) loss_cl: -0.3673 (-0.3673) time: 4.3200 data: 3.4680 max mem: 29859 [16:51:44.791158] Epoch: [66] [ 20/850] eta: 0:14:08 lr: 0.002393 loss: 0.0460 (0.0474) loss_rec_all: 0.0817 (0.0833) loss_rec_sfr: 0.1316 (0.1275) loss_cl: -0.3674 (-0.3672) time: 0.8580 data: 0.0002 max mem: 29859 [16:52:02.024943] Epoch: [66] [ 40/850] eta: 0:12:44 lr: 0.002393 loss: 0.0485 (0.0483) loss_rec_all: 0.0844 (0.0842) loss_rec_sfr: 0.1015 (0.1226) loss_cl: -0.3678 (-0.3675) time: 0.8616 data: 0.0002 max mem: 29859 [16:52:19.211540] Epoch: [66] [ 60/850] eta: 0:12:03 lr: 0.002393 loss: 0.0493 (0.0490) loss_rec_all: 0.0854 (0.0849) loss_rec_sfr: 0.1129 (0.1221) loss_cl: -0.3681 (-0.3677) time: 0.8593 data: 0.0002 max mem: 29859 [16:52:36.463543] Epoch: [66] [ 80/850] eta: 0:11:35 lr: 0.002393 loss: 0.0486 (0.0493) loss_rec_all: 0.0848 (0.0852) loss_rec_sfr: 0.1327 (0.1227) loss_cl: -0.3678 (-0.3677) time: 0.8626 data: 0.0002 max mem: 29859 [16:52:53.656945] Epoch: [66] [100/850] eta: 0:11:10 lr: 0.002393 loss: 0.0487 (0.0496) loss_rec_all: 0.0846 (0.0854) loss_rec_sfr: 0.1305 (0.1243) loss_cl: -0.3669 (-0.3675) time: 0.8596 data: 0.0002 max mem: 29859 [16:53:10.901771] Epoch: [66] [120/850] eta: 0:10:49 lr: 0.002393 loss: 0.0486 (0.0494) loss_rec_all: 0.0845 (0.0853) loss_rec_sfr: 0.1185 (0.1247) loss_cl: -0.3668 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [16:53:28.089519] Epoch: [66] [140/850] eta: 0:10:28 lr: 0.002393 loss: 0.0490 (0.0495) loss_rec_all: 0.0845 (0.0854) loss_rec_sfr: 0.1366 (0.1260) loss_cl: -0.3667 (-0.3673) time: 0.8593 data: 0.0002 max mem: 29859 [16:53:45.337675] Epoch: [66] [160/850] eta: 0:10:08 lr: 0.002393 loss: 0.0480 (0.0496) loss_rec_all: 0.0836 (0.0854) loss_rec_sfr: 0.1318 (0.1262) loss_cl: -0.3669 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [16:54:02.545576] Epoch: [66] [180/850] eta: 0:09:49 lr: 0.002393 loss: 0.0468 (0.0495) loss_rec_all: 0.0828 (0.0853) loss_rec_sfr: 0.1020 (0.1253) loss_cl: -0.3667 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [16:54:19.789719] Epoch: [66] [200/850] eta: 0:09:30 lr: 0.002393 loss: 0.0462 (0.0494) loss_rec_all: 0.0822 (0.0852) loss_rec_sfr: 0.0868 (0.1236) loss_cl: -0.3668 (-0.3671) time: 0.8622 data: 0.0001 max mem: 29859 [16:54:37.002428] Epoch: [66] [220/850] eta: 0:09:12 lr: 0.002393 loss: 0.0450 (0.0490) loss_rec_all: 0.0811 (0.0849) loss_rec_sfr: 0.0861 (0.1224) loss_cl: -0.3671 (-0.3671) time: 0.8606 data: 0.0002 max mem: 29859 [16:54:54.238869] Epoch: [66] [240/850] eta: 0:08:53 lr: 0.002393 loss: 0.0461 (0.0488) loss_rec_all: 0.0817 (0.0847) loss_rec_sfr: 0.1033 (0.1221) loss_cl: -0.3671 (-0.3671) time: 0.8618 data: 0.0002 max mem: 29859 [16:55:11.455230] Epoch: [66] [260/850] eta: 0:08:35 lr: 0.002393 loss: 0.0457 (0.0488) loss_rec_all: 0.0818 (0.0846) loss_rec_sfr: 0.1389 (0.1229) loss_cl: -0.3673 (-0.3671) time: 0.8608 data: 0.0002 max mem: 29859 [16:55:28.704229] Epoch: [66] [280/850] eta: 0:08:17 lr: 0.002393 loss: 0.0463 (0.0487) loss_rec_all: 0.0819 (0.0845) loss_rec_sfr: 0.1159 (0.1229) loss_cl: -0.3669 (-0.3671) time: 0.8624 data: 0.0002 max mem: 29859 [16:55:45.931045] Epoch: [66] [300/850] eta: 0:07:59 lr: 0.002393 loss: 0.0536 (0.0491) loss_rec_all: 0.0893 (0.0850) loss_rec_sfr: 0.1316 (0.1237) loss_cl: -0.3669 (-0.3671) time: 0.8613 data: 0.0002 max mem: 29859 [16:56:03.188680] Epoch: [66] [320/850] eta: 0:07:42 lr: 0.002393 loss: 0.0550 (0.0495) loss_rec_all: 0.0904 (0.0853) loss_rec_sfr: 0.1180 (0.1242) loss_cl: -0.3667 (-0.3671) time: 0.8628 data: 0.0002 max mem: 29859 [16:56:20.392572] Epoch: [66] [340/850] eta: 0:07:24 lr: 0.002393 loss: 0.0521 (0.0497) loss_rec_all: 0.0881 (0.0855) loss_rec_sfr: 0.1341 (0.1254) loss_cl: -0.3680 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [16:56:37.664287] Epoch: [66] [360/850] eta: 0:07:06 lr: 0.002393 loss: 0.0501 (0.0498) loss_rec_all: 0.0859 (0.0857) loss_rec_sfr: 0.1350 (0.1257) loss_cl: -0.3676 (-0.3672) time: 0.8635 data: 0.0002 max mem: 29859 [16:56:54.862647] Epoch: [66] [380/850] eta: 0:06:48 lr: 0.002393 loss: 0.0504 (0.0500) loss_rec_all: 0.0863 (0.0858) loss_rec_sfr: 0.1306 (0.1257) loss_cl: -0.3672 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [16:57:12.126234] Epoch: [66] [400/850] eta: 0:06:31 lr: 0.002393 loss: 0.0473 (0.0499) loss_rec_all: 0.0832 (0.0857) loss_rec_sfr: 0.1277 (0.1258) loss_cl: -0.3669 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [16:57:29.318490] Epoch: [66] [420/850] eta: 0:06:13 lr: 0.002393 loss: 0.0486 (0.0499) loss_rec_all: 0.0845 (0.0858) loss_rec_sfr: 0.1034 (0.1252) loss_cl: -0.3666 (-0.3671) time: 0.8596 data: 0.0002 max mem: 29859 [16:57:46.570026] Epoch: [66] [440/850] eta: 0:05:56 lr: 0.002393 loss: 0.0456 (0.0498) loss_rec_all: 0.0813 (0.0857) loss_rec_sfr: 0.0997 (0.1246) loss_cl: -0.3659 (-0.3671) time: 0.8625 data: 0.0002 max mem: 29859 [16:58:03.769756] Epoch: [66] [460/850] eta: 0:05:38 lr: 0.002393 loss: 0.0464 (0.0497) loss_rec_all: 0.0823 (0.0856) loss_rec_sfr: 0.1284 (0.1247) loss_cl: -0.3673 (-0.3671) time: 0.8599 data: 0.0002 max mem: 29859 [16:58:21.023974] Epoch: [66] [480/850] eta: 0:05:21 lr: 0.002393 loss: 0.0487 (0.0497) loss_rec_all: 0.0843 (0.0855) loss_rec_sfr: 0.1276 (0.1249) loss_cl: -0.3676 (-0.3671) time: 0.8627 data: 0.0002 max mem: 29859 [16:58:38.224866] Epoch: [66] [500/850] eta: 0:05:03 lr: 0.002393 loss: 0.0456 (0.0496) loss_rec_all: 0.0812 (0.0854) loss_rec_sfr: 0.1039 (0.1245) loss_cl: -0.3682 (-0.3671) time: 0.8600 data: 0.0002 max mem: 29859 [16:58:55.461037] Epoch: [66] [520/850] eta: 0:04:46 lr: 0.002393 loss: 0.0486 (0.0496) loss_rec_all: 0.0846 (0.0854) loss_rec_sfr: 0.1110 (0.1246) loss_cl: -0.3680 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [16:59:12.673321] Epoch: [66] [540/850] eta: 0:04:28 lr: 0.002393 loss: 0.0488 (0.0495) loss_rec_all: 0.0843 (0.0854) loss_rec_sfr: 0.1460 (0.1252) loss_cl: -0.3668 (-0.3671) time: 0.8606 data: 0.0002 max mem: 29859 [16:59:29.908772] Epoch: [66] [560/850] eta: 0:04:11 lr: 0.002393 loss: 0.0463 (0.0495) loss_rec_all: 0.0822 (0.0853) loss_rec_sfr: 0.1011 (0.1249) loss_cl: -0.3667 (-0.3671) time: 0.8617 data: 0.0002 max mem: 29859 [16:59:47.131822] Epoch: [66] [580/850] eta: 0:03:54 lr: 0.002393 loss: 0.0464 (0.0494) loss_rec_all: 0.0822 (0.0853) loss_rec_sfr: 0.1095 (0.1250) loss_cl: -0.3665 (-0.3671) time: 0.8611 data: 0.0002 max mem: 29859 [17:00:04.369038] Epoch: [66] [600/850] eta: 0:03:36 lr: 0.002393 loss: 0.0466 (0.0494) loss_rec_all: 0.0824 (0.0852) loss_rec_sfr: 0.1000 (0.1246) loss_cl: -0.3663 (-0.3671) time: 0.8618 data: 0.0002 max mem: 29859 [17:00:21.594513] Epoch: [66] [620/850] eta: 0:03:19 lr: 0.002393 loss: 0.0479 (0.0493) loss_rec_all: 0.0839 (0.0851) loss_rec_sfr: 0.1062 (0.1243) loss_cl: -0.3670 (-0.3671) time: 0.8612 data: 0.0002 max mem: 29859 [17:00:38.836565] Epoch: [66] [640/850] eta: 0:03:01 lr: 0.002393 loss: 0.0498 (0.0493) loss_rec_all: 0.0854 (0.0852) loss_rec_sfr: 0.1156 (0.1246) loss_cl: -0.3672 (-0.3671) time: 0.8621 data: 0.0002 max mem: 29859 [17:00:56.033063] Epoch: [66] [660/850] eta: 0:02:44 lr: 0.002393 loss: 0.0489 (0.0494) loss_rec_all: 0.0846 (0.0852) loss_rec_sfr: 0.1470 (0.1252) loss_cl: -0.3678 (-0.3671) time: 0.8598 data: 0.0002 max mem: 29859 [17:01:13.304964] Epoch: [66] [680/850] eta: 0:02:27 lr: 0.002393 loss: 0.0478 (0.0494) loss_rec_all: 0.0840 (0.0852) loss_rec_sfr: 0.1123 (0.1251) loss_cl: -0.3676 (-0.3671) time: 0.8635 data: 0.0002 max mem: 29859 [17:01:30.508597] Epoch: [66] [700/850] eta: 0:02:09 lr: 0.002393 loss: 0.0461 (0.0493) loss_rec_all: 0.0817 (0.0852) loss_rec_sfr: 0.1410 (0.1253) loss_cl: -0.3675 (-0.3671) time: 0.8601 data: 0.0002 max mem: 29859 [17:01:47.766073] Epoch: [66] [720/850] eta: 0:01:52 lr: 0.002393 loss: 0.0483 (0.0493) loss_rec_all: 0.0841 (0.0851) loss_rec_sfr: 0.1136 (0.1255) loss_cl: -0.3676 (-0.3671) time: 0.8628 data: 0.0002 max mem: 29859 [17:02:04.967867] Epoch: [66] [740/850] eta: 0:01:35 lr: 0.002393 loss: 0.0468 (0.0493) loss_rec_all: 0.0825 (0.0851) loss_rec_sfr: 0.1164 (0.1254) loss_cl: -0.3677 (-0.3671) time: 0.8600 data: 0.0002 max mem: 29859 [17:02:22.214127] Epoch: [66] [760/850] eta: 0:01:17 lr: 0.002393 loss: 0.0463 (0.0492) loss_rec_all: 0.0824 (0.0851) loss_rec_sfr: 0.1113 (0.1252) loss_cl: -0.3675 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [17:02:39.413235] Epoch: [66] [780/850] eta: 0:01:00 lr: 0.002393 loss: 0.0456 (0.0492) loss_rec_all: 0.0816 (0.0850) loss_rec_sfr: 0.0980 (0.1251) loss_cl: -0.3673 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [17:02:56.665952] Epoch: [66] [800/850] eta: 0:00:43 lr: 0.002393 loss: 0.0457 (0.0491) loss_rec_all: 0.0812 (0.0850) loss_rec_sfr: 0.1301 (0.1251) loss_cl: -0.3673 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [17:03:13.872804] Epoch: [66] [820/850] eta: 0:00:25 lr: 0.002393 loss: 0.0452 (0.0491) loss_rec_all: 0.0810 (0.0849) loss_rec_sfr: 0.0884 (0.1248) loss_cl: -0.3672 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [17:03:31.111547] Epoch: [66] [840/850] eta: 0:00:08 lr: 0.002393 loss: 0.0484 (0.0491) loss_rec_all: 0.0841 (0.0849) loss_rec_sfr: 0.1255 (0.1246) loss_cl: -0.3663 (-0.3671) time: 0.8619 data: 0.0004 max mem: 29859 [17:03:38.864165] Epoch: [66] [849/850] eta: 0:00:00 lr: 0.002393 loss: 0.0484 (0.0491) loss_rec_all: 0.0844 (0.0849) loss_rec_sfr: 0.1056 (0.1247) loss_cl: -0.3661 (-0.3671) time: 0.8625 data: 0.0005 max mem: 29859 [17:03:39.012891] Epoch: [66] Total time: 0:12:15 (0.8655 s / it) [17:03:39.026997] Averaged stats: lr: 0.002393 loss: 0.0484 (0.0492) loss_rec_all: 0.0844 (0.0850) loss_rec_sfr: 0.1056 (0.1260) loss_cl: -0.3661 (-0.3670) [17:03:39.035770] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [17:03:43.536098] Epoch: [67] [ 0/850] eta: 1:03:44 lr: 0.002393 loss: 0.0576 (0.0576) loss_rec_all: 0.0933 (0.0933) loss_rec_sfr: 0.1326 (0.1326) loss_cl: -0.3663 (-0.3663) time: 4.4996 data: 3.2836 max mem: 29859 [17:04:00.709412] Epoch: [67] [ 20/850] eta: 0:14:16 lr: 0.002393 loss: 0.0476 (0.0481) loss_rec_all: 0.0837 (0.0840) loss_rec_sfr: 0.0977 (0.1147) loss_cl: -0.3668 (-0.3668) time: 0.8586 data: 0.0002 max mem: 29859 [17:04:17.918893] Epoch: [67] [ 40/850] eta: 0:12:48 lr: 0.002393 loss: 0.0459 (0.0477) loss_rec_all: 0.0816 (0.0836) loss_rec_sfr: 0.1305 (0.1213) loss_cl: -0.3675 (-0.3671) time: 0.8604 data: 0.0002 max mem: 29859 [17:04:35.096185] Epoch: [67] [ 60/850] eta: 0:12:05 lr: 0.002392 loss: 0.0486 (0.0482) loss_rec_all: 0.0842 (0.0840) loss_rec_sfr: 0.1668 (0.1290) loss_cl: -0.3677 (-0.3674) time: 0.8588 data: 0.0002 max mem: 29859 [17:04:52.320015] Epoch: [67] [ 80/850] eta: 0:11:36 lr: 0.002392 loss: 0.0463 (0.0483) loss_rec_all: 0.0821 (0.0842) loss_rec_sfr: 0.1054 (0.1250) loss_cl: -0.3675 (-0.3674) time: 0.8611 data: 0.0002 max mem: 29859 [17:05:09.533677] Epoch: [67] [100/850] eta: 0:11:11 lr: 0.002392 loss: 0.0470 (0.0484) loss_rec_all: 0.0827 (0.0843) loss_rec_sfr: 0.1142 (0.1245) loss_cl: -0.3672 (-0.3674) time: 0.8606 data: 0.0002 max mem: 29859 [17:05:26.766709] Epoch: [67] [120/850] eta: 0:10:49 lr: 0.002392 loss: 0.0477 (0.0484) loss_rec_all: 0.0832 (0.0842) loss_rec_sfr: 0.1193 (0.1247) loss_cl: -0.3667 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [17:05:44.004713] Epoch: [67] [140/850] eta: 0:10:29 lr: 0.002392 loss: 0.0475 (0.0483) loss_rec_all: 0.0835 (0.0842) loss_rec_sfr: 0.1148 (0.1247) loss_cl: -0.3668 (-0.3672) time: 0.8618 data: 0.0003 max mem: 29859 [17:06:01.241095] Epoch: [67] [160/850] eta: 0:10:09 lr: 0.002392 loss: 0.0487 (0.0484) loss_rec_all: 0.0840 (0.0842) loss_rec_sfr: 0.1258 (0.1249) loss_cl: -0.3674 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [17:06:18.453159] Epoch: [67] [180/850] eta: 0:09:50 lr: 0.002392 loss: 0.0507 (0.0486) loss_rec_all: 0.0861 (0.0844) loss_rec_sfr: 0.1292 (0.1264) loss_cl: -0.3679 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [17:06:35.712067] Epoch: [67] [200/850] eta: 0:09:31 lr: 0.002392 loss: 0.0466 (0.0484) loss_rec_all: 0.0823 (0.0842) loss_rec_sfr: 0.0946 (0.1251) loss_cl: -0.3675 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [17:06:52.915573] Epoch: [67] [220/850] eta: 0:09:12 lr: 0.002392 loss: 0.0506 (0.0489) loss_rec_all: 0.0862 (0.0847) loss_rec_sfr: 0.1410 (0.1263) loss_cl: -0.3669 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [17:07:10.185864] Epoch: [67] [240/850] eta: 0:08:54 lr: 0.002392 loss: 0.0490 (0.0490) loss_rec_all: 0.0847 (0.0848) loss_rec_sfr: 0.1062 (0.1260) loss_cl: -0.3662 (-0.3671) time: 0.8635 data: 0.0002 max mem: 29859 [17:07:27.390439] Epoch: [67] [260/850] eta: 0:08:36 lr: 0.002392 loss: 0.0475 (0.0490) loss_rec_all: 0.0834 (0.0848) loss_rec_sfr: 0.1357 (0.1262) loss_cl: -0.3664 (-0.3671) time: 0.8602 data: 0.0002 max mem: 29859 [17:07:44.648006] Epoch: [67] [280/850] eta: 0:08:18 lr: 0.002392 loss: 0.0472 (0.0489) loss_rec_all: 0.0828 (0.0847) loss_rec_sfr: 0.1076 (0.1259) loss_cl: -0.3675 (-0.3671) time: 0.8628 data: 0.0002 max mem: 29859 [17:08:01.849370] Epoch: [67] [300/850] eta: 0:08:00 lr: 0.002392 loss: 0.0464 (0.0488) loss_rec_all: 0.0825 (0.0847) loss_rec_sfr: 0.1287 (0.1259) loss_cl: -0.3675 (-0.3671) time: 0.8600 data: 0.0002 max mem: 29859 [17:08:19.099638] Epoch: [67] [320/850] eta: 0:07:42 lr: 0.002392 loss: 0.0474 (0.0488) loss_rec_all: 0.0829 (0.0846) loss_rec_sfr: 0.1141 (0.1258) loss_cl: -0.3671 (-0.3671) time: 0.8624 data: 0.0002 max mem: 29859 [17:08:36.317938] Epoch: [67] [340/850] eta: 0:07:24 lr: 0.002392 loss: 0.0470 (0.0488) loss_rec_all: 0.0830 (0.0846) loss_rec_sfr: 0.1166 (0.1256) loss_cl: -0.3672 (-0.3671) time: 0.8609 data: 0.0002 max mem: 29859 [17:08:53.555312] Epoch: [67] [360/850] eta: 0:07:06 lr: 0.002392 loss: 0.0481 (0.0488) loss_rec_all: 0.0836 (0.0846) loss_rec_sfr: 0.1311 (0.1262) loss_cl: -0.3669 (-0.3671) time: 0.8618 data: 0.0002 max mem: 29859 [17:09:10.778379] Epoch: [67] [380/850] eta: 0:06:49 lr: 0.002392 loss: 0.0468 (0.0487) loss_rec_all: 0.0824 (0.0846) loss_rec_sfr: 0.1099 (0.1257) loss_cl: -0.3675 (-0.3671) time: 0.8611 data: 0.0002 max mem: 29859 [17:09:28.017222] Epoch: [67] [400/850] eta: 0:06:31 lr: 0.002392 loss: 0.0467 (0.0487) loss_rec_all: 0.0825 (0.0845) loss_rec_sfr: 0.1357 (0.1260) loss_cl: -0.3679 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [17:09:45.247194] Epoch: [67] [420/850] eta: 0:06:14 lr: 0.002392 loss: 0.0451 (0.0485) loss_rec_all: 0.0812 (0.0844) loss_rec_sfr: 0.1048 (0.1258) loss_cl: -0.3678 (-0.3672) time: 0.8614 data: 0.0002 max mem: 29859 [17:10:02.491098] Epoch: [67] [440/850] eta: 0:05:56 lr: 0.002392 loss: 0.0470 (0.0485) loss_rec_all: 0.0826 (0.0843) loss_rec_sfr: 0.1069 (0.1256) loss_cl: -0.3670 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [17:10:19.695246] Epoch: [67] [460/850] eta: 0:05:38 lr: 0.002392 loss: 0.0483 (0.0486) loss_rec_all: 0.0838 (0.0844) loss_rec_sfr: 0.1317 (0.1257) loss_cl: -0.3662 (-0.3671) time: 0.8602 data: 0.0002 max mem: 29859 [17:10:36.964457] Epoch: [67] [480/850] eta: 0:05:21 lr: 0.002392 loss: 0.0470 (0.0486) loss_rec_all: 0.0830 (0.0844) loss_rec_sfr: 0.1230 (0.1257) loss_cl: -0.3663 (-0.3671) time: 0.8634 data: 0.0002 max mem: 29859 [17:10:54.171555] Epoch: [67] [500/850] eta: 0:05:03 lr: 0.002392 loss: 0.0466 (0.0485) loss_rec_all: 0.0825 (0.0843) loss_rec_sfr: 0.1076 (0.1252) loss_cl: -0.3662 (-0.3671) time: 0.8603 data: 0.0002 max mem: 29859 [17:11:11.435268] Epoch: [67] [520/850] eta: 0:04:46 lr: 0.002392 loss: 0.0481 (0.0485) loss_rec_all: 0.0840 (0.0844) loss_rec_sfr: 0.1243 (0.1254) loss_cl: -0.3676 (-0.3671) time: 0.8631 data: 0.0002 max mem: 29859 [17:11:28.635265] Epoch: [67] [540/850] eta: 0:04:29 lr: 0.002392 loss: 0.0466 (0.0485) loss_rec_all: 0.0827 (0.0843) loss_rec_sfr: 0.1013 (0.1249) loss_cl: -0.3679 (-0.3671) time: 0.8600 data: 0.0002 max mem: 29859 [17:11:45.907966] Epoch: [67] [560/850] eta: 0:04:11 lr: 0.002392 loss: 0.0467 (0.0485) loss_rec_all: 0.0823 (0.0843) loss_rec_sfr: 0.1293 (0.1249) loss_cl: -0.3678 (-0.3671) time: 0.8636 data: 0.0002 max mem: 29859 [17:12:03.113741] Epoch: [67] [580/850] eta: 0:03:54 lr: 0.002392 loss: 0.0516 (0.0487) loss_rec_all: 0.0871 (0.0845) loss_rec_sfr: 0.1564 (0.1257) loss_cl: -0.3681 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [17:12:20.378862] Epoch: [67] [600/850] eta: 0:03:36 lr: 0.002392 loss: 0.0503 (0.0487) loss_rec_all: 0.0864 (0.0846) loss_rec_sfr: 0.1012 (0.1255) loss_cl: -0.3673 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [17:12:37.588461] Epoch: [67] [620/850] eta: 0:03:19 lr: 0.002392 loss: 0.0488 (0.0487) loss_rec_all: 0.0847 (0.0846) loss_rec_sfr: 0.1090 (0.1254) loss_cl: -0.3666 (-0.3671) time: 0.8604 data: 0.0002 max mem: 29859 [17:12:54.825506] Epoch: [67] [640/850] eta: 0:03:02 lr: 0.002392 loss: 0.0461 (0.0487) loss_rec_all: 0.0821 (0.0846) loss_rec_sfr: 0.0884 (0.1248) loss_cl: -0.3662 (-0.3671) time: 0.8618 data: 0.0002 max mem: 29859 [17:13:12.038638] Epoch: [67] [660/850] eta: 0:02:44 lr: 0.002392 loss: 0.0453 (0.0487) loss_rec_all: 0.0809 (0.0845) loss_rec_sfr: 0.1392 (0.1251) loss_cl: -0.3662 (-0.3671) time: 0.8606 data: 0.0002 max mem: 29859 [17:13:29.272825] Epoch: [67] [680/850] eta: 0:02:27 lr: 0.002392 loss: 0.0455 (0.0486) loss_rec_all: 0.0812 (0.0845) loss_rec_sfr: 0.1040 (0.1249) loss_cl: -0.3666 (-0.3671) time: 0.8617 data: 0.0002 max mem: 29859 [17:13:46.491156] Epoch: [67] [700/850] eta: 0:02:09 lr: 0.002392 loss: 0.0448 (0.0485) loss_rec_all: 0.0808 (0.0844) loss_rec_sfr: 0.0870 (0.1243) loss_cl: -0.3675 (-0.3671) time: 0.8609 data: 0.0002 max mem: 29859 [17:14:03.725525] Epoch: [67] [720/850] eta: 0:01:52 lr: 0.002392 loss: 0.0444 (0.0485) loss_rec_all: 0.0804 (0.0843) loss_rec_sfr: 0.0981 (0.1239) loss_cl: -0.3683 (-0.3671) time: 0.8617 data: 0.0002 max mem: 29859 [17:14:20.956439] Epoch: [67] [740/850] eta: 0:01:35 lr: 0.002392 loss: 0.0477 (0.0485) loss_rec_all: 0.0834 (0.0843) loss_rec_sfr: 0.1129 (0.1238) loss_cl: -0.3682 (-0.3671) time: 0.8615 data: 0.0002 max mem: 29859 [17:14:38.193407] Epoch: [67] [760/850] eta: 0:01:17 lr: 0.002392 loss: 0.0458 (0.0485) loss_rec_all: 0.0818 (0.0843) loss_rec_sfr: 0.0936 (0.1236) loss_cl: -0.3673 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [17:14:55.409388] Epoch: [67] [780/850] eta: 0:01:00 lr: 0.002392 loss: 0.0492 (0.0485) loss_rec_all: 0.0850 (0.0844) loss_rec_sfr: 0.1306 (0.1239) loss_cl: -0.3671 (-0.3671) time: 0.8607 data: 0.0002 max mem: 29859 [17:15:12.666267] Epoch: [67] [800/850] eta: 0:00:43 lr: 0.002392 loss: 0.0483 (0.0485) loss_rec_all: 0.0843 (0.0844) loss_rec_sfr: 0.1322 (0.1241) loss_cl: -0.3672 (-0.3671) time: 0.8628 data: 0.0002 max mem: 29859 [17:15:29.869846] Epoch: [67] [820/850] eta: 0:00:25 lr: 0.002392 loss: 0.0496 (0.0486) loss_rec_all: 0.0850 (0.0844) loss_rec_sfr: 0.1292 (0.1244) loss_cl: -0.3673 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [17:15:47.122002] Epoch: [67] [840/850] eta: 0:00:08 lr: 0.002392 loss: 0.0516 (0.0487) loss_rec_all: 0.0877 (0.0845) loss_rec_sfr: 0.1080 (0.1246) loss_cl: -0.3673 (-0.3672) time: 0.8626 data: 0.0005 max mem: 29859 [17:15:54.858925] Epoch: [67] [849/850] eta: 0:00:00 lr: 0.002392 loss: 0.0519 (0.0488) loss_rec_all: 0.0877 (0.0846) loss_rec_sfr: 0.1080 (0.1245) loss_cl: -0.3673 (-0.3672) time: 0.8613 data: 0.0004 max mem: 29859 [17:15:55.014881] Epoch: [67] Total time: 0:12:15 (0.8659 s / it) [17:15:55.017326] Averaged stats: lr: 0.002392 loss: 0.0519 (0.0487) loss_rec_all: 0.0877 (0.0845) loss_rec_sfr: 0.1080 (0.1242) loss_cl: -0.3673 (-0.3671) [17:15:55.029117] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [17:15:59.688359] Epoch: [68] [ 0/850] eta: 1:05:59 lr: 0.002392 loss: 0.0504 (0.0504) loss_rec_all: 0.0863 (0.0863) loss_rec_sfr: 0.1060 (0.1060) loss_cl: -0.3668 (-0.3668) time: 4.6585 data: 3.8048 max mem: 29859 [17:16:16.886698] Epoch: [68] [ 20/850] eta: 0:14:23 lr: 0.002392 loss: 0.0500 (0.0510) loss_rec_all: 0.0858 (0.0868) loss_rec_sfr: 0.1324 (0.1272) loss_cl: -0.3664 (-0.3664) time: 0.8599 data: 0.0002 max mem: 29859 [17:16:34.114611] Epoch: [68] [ 40/850] eta: 0:12:52 lr: 0.002392 loss: 0.0475 (0.0495) loss_rec_all: 0.0828 (0.0853) loss_rec_sfr: 0.1021 (0.1226) loss_cl: -0.3657 (-0.3661) time: 0.8613 data: 0.0002 max mem: 29859 [17:16:51.325389] Epoch: [68] [ 60/850] eta: 0:12:09 lr: 0.002392 loss: 0.0476 (0.0492) loss_rec_all: 0.0832 (0.0849) loss_rec_sfr: 0.1328 (0.1265) loss_cl: -0.3667 (-0.3663) time: 0.8605 data: 0.0002 max mem: 29859 [17:17:08.586932] Epoch: [68] [ 80/850] eta: 0:11:39 lr: 0.002392 loss: 0.0453 (0.0488) loss_rec_all: 0.0815 (0.0846) loss_rec_sfr: 0.1276 (0.1250) loss_cl: -0.3672 (-0.3665) time: 0.8630 data: 0.0002 max mem: 29859 [17:17:25.787461] Epoch: [68] [100/850] eta: 0:11:13 lr: 0.002392 loss: 0.0457 (0.0482) loss_rec_all: 0.0816 (0.0840) loss_rec_sfr: 0.1004 (0.1225) loss_cl: -0.3674 (-0.3667) time: 0.8600 data: 0.0001 max mem: 29859 [17:17:43.047326] Epoch: [68] [120/850] eta: 0:10:51 lr: 0.002392 loss: 0.0440 (0.0476) loss_rec_all: 0.0803 (0.0834) loss_rec_sfr: 0.1246 (0.1222) loss_cl: -0.3680 (-0.3669) time: 0.8629 data: 0.0002 max mem: 29859 [17:18:00.260662] Epoch: [68] [140/850] eta: 0:10:30 lr: 0.002392 loss: 0.0444 (0.0474) loss_rec_all: 0.0800 (0.0832) loss_rec_sfr: 0.1271 (0.1229) loss_cl: -0.3677 (-0.3670) time: 0.8606 data: 0.0002 max mem: 29859 [17:18:17.543699] Epoch: [68] [160/850] eta: 0:10:10 lr: 0.002392 loss: 0.0451 (0.0472) loss_rec_all: 0.0806 (0.0830) loss_rec_sfr: 0.1250 (0.1238) loss_cl: -0.3668 (-0.3670) time: 0.8641 data: 0.0002 max mem: 29859 [17:18:34.758276] Epoch: [68] [180/850] eta: 0:09:51 lr: 0.002392 loss: 0.0482 (0.0474) loss_rec_all: 0.0844 (0.0833) loss_rec_sfr: 0.0942 (0.1244) loss_cl: -0.3667 (-0.3670) time: 0.8607 data: 0.0002 max mem: 29859 [17:18:52.024094] Epoch: [68] [200/850] eta: 0:09:32 lr: 0.002392 loss: 0.0467 (0.0475) loss_rec_all: 0.0824 (0.0833) loss_rec_sfr: 0.1294 (0.1249) loss_cl: -0.3667 (-0.3669) time: 0.8632 data: 0.0002 max mem: 29859 [17:19:09.242494] Epoch: [68] [220/850] eta: 0:09:13 lr: 0.002392 loss: 0.0468 (0.0476) loss_rec_all: 0.0825 (0.0834) loss_rec_sfr: 0.0897 (0.1249) loss_cl: -0.3669 (-0.3669) time: 0.8609 data: 0.0002 max mem: 29859 [17:19:26.506708] Epoch: [68] [240/850] eta: 0:08:55 lr: 0.002392 loss: 0.0476 (0.0476) loss_rec_all: 0.0833 (0.0834) loss_rec_sfr: 0.1355 (0.1254) loss_cl: -0.3673 (-0.3670) time: 0.8632 data: 0.0002 max mem: 29859 [17:19:43.728070] Epoch: [68] [260/850] eta: 0:08:36 lr: 0.002392 loss: 0.0470 (0.0478) loss_rec_all: 0.0830 (0.0836) loss_rec_sfr: 0.1487 (0.1264) loss_cl: -0.3673 (-0.3670) time: 0.8610 data: 0.0002 max mem: 29859 [17:20:00.982760] Epoch: [68] [280/850] eta: 0:08:18 lr: 0.002392 loss: 0.0476 (0.0477) loss_rec_all: 0.0833 (0.0836) loss_rec_sfr: 0.1041 (0.1260) loss_cl: -0.3671 (-0.3670) time: 0.8627 data: 0.0002 max mem: 29859 [17:20:18.227977] Epoch: [68] [300/850] eta: 0:08:00 lr: 0.002392 loss: 0.0462 (0.0477) loss_rec_all: 0.0820 (0.0835) loss_rec_sfr: 0.1088 (0.1255) loss_cl: -0.3669 (-0.3670) time: 0.8622 data: 0.0002 max mem: 29859 [17:20:35.479688] Epoch: [68] [320/850] eta: 0:07:43 lr: 0.002392 loss: 0.0454 (0.0477) loss_rec_all: 0.0815 (0.0835) loss_rec_sfr: 0.1325 (0.1256) loss_cl: -0.3671 (-0.3670) time: 0.8625 data: 0.0002 max mem: 29859 [17:20:52.707062] Epoch: [68] [340/850] eta: 0:07:25 lr: 0.002392 loss: 0.0444 (0.0476) loss_rec_all: 0.0806 (0.0834) loss_rec_sfr: 0.0866 (0.1242) loss_cl: -0.3675 (-0.3670) time: 0.8613 data: 0.0002 max mem: 29859 [17:21:09.952559] Epoch: [68] [360/850] eta: 0:07:07 lr: 0.002392 loss: 0.0435 (0.0473) loss_rec_all: 0.0792 (0.0832) loss_rec_sfr: 0.1042 (0.1243) loss_cl: -0.3672 (-0.3670) time: 0.8622 data: 0.0002 max mem: 29859 [17:21:27.182293] Epoch: [68] [380/850] eta: 0:06:49 lr: 0.002392 loss: 0.0433 (0.0472) loss_rec_all: 0.0793 (0.0830) loss_rec_sfr: 0.1387 (0.1244) loss_cl: -0.3669 (-0.3670) time: 0.8614 data: 0.0002 max mem: 29859 [17:21:44.430888] Epoch: [68] [400/850] eta: 0:06:32 lr: 0.002392 loss: 0.0466 (0.0472) loss_rec_all: 0.0823 (0.0831) loss_rec_sfr: 0.1301 (0.1247) loss_cl: -0.3669 (-0.3670) time: 0.8624 data: 0.0002 max mem: 29859 [17:22:01.642085] Epoch: [68] [420/850] eta: 0:06:14 lr: 0.002392 loss: 0.0494 (0.0474) loss_rec_all: 0.0850 (0.0832) loss_rec_sfr: 0.1124 (0.1249) loss_cl: -0.3673 (-0.3670) time: 0.8605 data: 0.0002 max mem: 29859 [17:22:18.906700] Epoch: [68] [440/850] eta: 0:05:56 lr: 0.002392 loss: 0.0490 (0.0475) loss_rec_all: 0.0851 (0.0834) loss_rec_sfr: 0.1138 (0.1248) loss_cl: -0.3672 (-0.3670) time: 0.8632 data: 0.0002 max mem: 29859 [17:22:36.115038] Epoch: [68] [460/850] eta: 0:05:39 lr: 0.002392 loss: 0.0480 (0.0477) loss_rec_all: 0.0838 (0.0835) loss_rec_sfr: 0.1332 (0.1250) loss_cl: -0.3673 (-0.3671) time: 0.8604 data: 0.0002 max mem: 29859 [17:22:53.344801] Epoch: [68] [480/850] eta: 0:05:21 lr: 0.002392 loss: 0.0494 (0.0479) loss_rec_all: 0.0856 (0.0837) loss_rec_sfr: 0.1109 (0.1253) loss_cl: -0.3675 (-0.3671) time: 0.8614 data: 0.0002 max mem: 29859 [17:23:10.531444] Epoch: [68] [500/850] eta: 0:05:04 lr: 0.002392 loss: 0.0462 (0.0479) loss_rec_all: 0.0822 (0.0837) loss_rec_sfr: 0.0907 (0.1245) loss_cl: -0.3669 (-0.3671) time: 0.8593 data: 0.0002 max mem: 29859 [17:23:27.767578] Epoch: [68] [520/850] eta: 0:04:46 lr: 0.002392 loss: 0.0466 (0.0479) loss_rec_all: 0.0826 (0.0837) loss_rec_sfr: 0.0987 (0.1243) loss_cl: -0.3667 (-0.3670) time: 0.8618 data: 0.0002 max mem: 29859 [17:23:44.959937] Epoch: [68] [540/850] eta: 0:04:29 lr: 0.002392 loss: 0.0479 (0.0479) loss_rec_all: 0.0840 (0.0838) loss_rec_sfr: 0.0989 (0.1241) loss_cl: -0.3667 (-0.3670) time: 0.8596 data: 0.0002 max mem: 29859 [17:24:02.198224] Epoch: [68] [560/850] eta: 0:04:11 lr: 0.002392 loss: 0.0469 (0.0479) loss_rec_all: 0.0827 (0.0838) loss_rec_sfr: 0.1280 (0.1241) loss_cl: -0.3670 (-0.3670) time: 0.8619 data: 0.0002 max mem: 29859 [17:24:19.380196] Epoch: [68] [580/850] eta: 0:03:54 lr: 0.002392 loss: 0.0456 (0.0479) loss_rec_all: 0.0813 (0.0837) loss_rec_sfr: 0.1399 (0.1244) loss_cl: -0.3673 (-0.3670) time: 0.8590 data: 0.0002 max mem: 29859 [17:24:36.605664] Epoch: [68] [600/850] eta: 0:03:36 lr: 0.002392 loss: 0.0442 (0.0478) loss_rec_all: 0.0803 (0.0837) loss_rec_sfr: 0.0974 (0.1240) loss_cl: -0.3672 (-0.3671) time: 0.8612 data: 0.0002 max mem: 29859 [17:24:53.796443] Epoch: [68] [620/850] eta: 0:03:19 lr: 0.002392 loss: 0.0447 (0.0478) loss_rec_all: 0.0808 (0.0836) loss_rec_sfr: 0.0870 (0.1235) loss_cl: -0.3675 (-0.3671) time: 0.8595 data: 0.0002 max mem: 29859 [17:25:11.019059] Epoch: [68] [640/850] eta: 0:03:02 lr: 0.002392 loss: 0.0477 (0.0479) loss_rec_all: 0.0837 (0.0837) loss_rec_sfr: 0.1274 (0.1238) loss_cl: -0.3674 (-0.3671) time: 0.8611 data: 0.0002 max mem: 29859 [17:25:28.238829] Epoch: [68] [660/850] eta: 0:02:44 lr: 0.002392 loss: 0.0458 (0.0478) loss_rec_all: 0.0816 (0.0836) loss_rec_sfr: 0.1000 (0.1239) loss_cl: -0.3674 (-0.3671) time: 0.8609 data: 0.0002 max mem: 29859 [17:25:45.462902] Epoch: [68] [680/850] eta: 0:02:27 lr: 0.002392 loss: 0.0444 (0.0477) loss_rec_all: 0.0805 (0.0836) loss_rec_sfr: 0.0928 (0.1236) loss_cl: -0.3668 (-0.3671) time: 0.8612 data: 0.0002 max mem: 29859 [17:26:02.653668] Epoch: [68] [700/850] eta: 0:02:10 lr: 0.002391 loss: 0.0463 (0.0477) loss_rec_all: 0.0819 (0.0836) loss_rec_sfr: 0.1285 (0.1237) loss_cl: -0.3665 (-0.3671) time: 0.8595 data: 0.0002 max mem: 29859 [17:26:19.873545] Epoch: [68] [720/850] eta: 0:01:52 lr: 0.002391 loss: 0.0466 (0.0477) loss_rec_all: 0.0821 (0.0835) loss_rec_sfr: 0.1351 (0.1239) loss_cl: -0.3666 (-0.3670) time: 0.8610 data: 0.0002 max mem: 29859 [17:26:37.068113] Epoch: [68] [740/850] eta: 0:01:35 lr: 0.002391 loss: 0.0467 (0.0477) loss_rec_all: 0.0827 (0.0836) loss_rec_sfr: 0.1081 (0.1238) loss_cl: -0.3676 (-0.3671) time: 0.8597 data: 0.0002 max mem: 29859 [17:26:54.293430] Epoch: [68] [760/850] eta: 0:01:17 lr: 0.002391 loss: 0.0462 (0.0477) loss_rec_all: 0.0822 (0.0836) loss_rec_sfr: 0.1273 (0.1239) loss_cl: -0.3685 (-0.3671) time: 0.8612 data: 0.0002 max mem: 29859 [17:27:11.478535] Epoch: [68] [780/850] eta: 0:01:00 lr: 0.002391 loss: 0.0450 (0.0477) loss_rec_all: 0.0811 (0.0835) loss_rec_sfr: 0.1055 (0.1237) loss_cl: -0.3680 (-0.3671) time: 0.8592 data: 0.0002 max mem: 29859 [17:27:28.714001] Epoch: [68] [800/850] eta: 0:00:43 lr: 0.002391 loss: 0.0452 (0.0476) loss_rec_all: 0.0814 (0.0835) loss_rec_sfr: 0.1040 (0.1235) loss_cl: -0.3671 (-0.3671) time: 0.8617 data: 0.0002 max mem: 29859 [17:27:45.899210] Epoch: [68] [820/850] eta: 0:00:25 lr: 0.002391 loss: 0.0476 (0.0476) loss_rec_all: 0.0830 (0.0835) loss_rec_sfr: 0.1081 (0.1235) loss_cl: -0.3660 (-0.3671) time: 0.8592 data: 0.0002 max mem: 29859 [17:28:03.134345] Epoch: [68] [840/850] eta: 0:00:08 lr: 0.002391 loss: 0.0469 (0.0476) loss_rec_all: 0.0827 (0.0835) loss_rec_sfr: 0.1233 (0.1235) loss_cl: -0.3664 (-0.3671) time: 0.8617 data: 0.0005 max mem: 29859 [17:28:10.859221] Epoch: [68] [849/850] eta: 0:00:00 lr: 0.002391 loss: 0.0469 (0.0476) loss_rec_all: 0.0828 (0.0835) loss_rec_sfr: 0.1233 (0.1235) loss_cl: -0.3669 (-0.3671) time: 0.8607 data: 0.0004 max mem: 29859 [17:28:10.998475] Epoch: [68] Total time: 0:12:15 (0.8658 s / it) [17:28:11.028030] Averaged stats: lr: 0.002391 loss: 0.0469 (0.0478) loss_rec_all: 0.0828 (0.0837) loss_rec_sfr: 0.1233 (0.1235) loss_cl: -0.3669 (-0.3671) [17:28:11.034365] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [17:28:15.683692] Epoch: [69] [ 0/850] eta: 1:05:51 lr: 0.002391 loss: 0.0447 (0.0447) loss_rec_all: 0.0808 (0.0808) loss_rec_sfr: 0.0850 (0.0850) loss_cl: -0.3673 (-0.3673) time: 4.6486 data: 3.0824 max mem: 29859 [17:28:32.865876] Epoch: [69] [ 20/850] eta: 0:14:22 lr: 0.002391 loss: 0.0464 (0.0480) loss_rec_all: 0.0821 (0.0838) loss_rec_sfr: 0.1314 (0.1272) loss_cl: -0.3670 (-0.3669) time: 0.8591 data: 0.0002 max mem: 29859 [17:28:50.099936] Epoch: [69] [ 40/850] eta: 0:12:51 lr: 0.002391 loss: 0.0451 (0.0469) loss_rec_all: 0.0808 (0.0827) loss_rec_sfr: 0.1049 (0.1249) loss_cl: -0.3675 (-0.3671) time: 0.8617 data: 0.0002 max mem: 29859 [17:29:07.290766] Epoch: [69] [ 60/850] eta: 0:12:08 lr: 0.002391 loss: 0.0439 (0.0463) loss_rec_all: 0.0795 (0.0822) loss_rec_sfr: 0.1325 (0.1236) loss_cl: -0.3676 (-0.3673) time: 0.8595 data: 0.0002 max mem: 29859 [17:29:24.554379] Epoch: [69] [ 80/850] eta: 0:11:38 lr: 0.002391 loss: 0.0428 (0.0459) loss_rec_all: 0.0790 (0.0818) loss_rec_sfr: 0.0975 (0.1203) loss_cl: -0.3670 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [17:29:41.741886] Epoch: [69] [100/850] eta: 0:11:13 lr: 0.002391 loss: 0.0431 (0.0456) loss_rec_all: 0.0788 (0.0815) loss_rec_sfr: 0.0844 (0.1171) loss_cl: -0.3662 (-0.3671) time: 0.8593 data: 0.0002 max mem: 29859 [17:29:59.005785] Epoch: [69] [120/850] eta: 0:10:51 lr: 0.002391 loss: 0.0466 (0.0461) loss_rec_all: 0.0825 (0.0819) loss_rec_sfr: 0.1051 (0.1178) loss_cl: -0.3661 (-0.3669) time: 0.8631 data: 0.0002 max mem: 29859 [17:30:16.201423] Epoch: [69] [140/850] eta: 0:10:30 lr: 0.002391 loss: 0.0478 (0.0464) loss_rec_all: 0.0835 (0.0823) loss_rec_sfr: 0.1023 (0.1175) loss_cl: -0.3671 (-0.3669) time: 0.8597 data: 0.0002 max mem: 29859 [17:30:33.453883] Epoch: [69] [160/850] eta: 0:10:10 lr: 0.002391 loss: 0.0487 (0.0469) loss_rec_all: 0.0846 (0.0828) loss_rec_sfr: 0.1258 (0.1191) loss_cl: -0.3681 (-0.3670) time: 0.8626 data: 0.0002 max mem: 29859 [17:30:50.669371] Epoch: [69] [180/850] eta: 0:09:50 lr: 0.002391 loss: 0.0478 (0.0471) loss_rec_all: 0.0836 (0.0830) loss_rec_sfr: 0.1278 (0.1198) loss_cl: -0.3682 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [17:31:07.901334] Epoch: [69] [200/850] eta: 0:09:31 lr: 0.002391 loss: 0.0462 (0.0472) loss_rec_all: 0.0818 (0.0831) loss_rec_sfr: 0.1007 (0.1191) loss_cl: -0.3675 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [17:31:25.124482] Epoch: [69] [220/850] eta: 0:09:13 lr: 0.002391 loss: 0.0443 (0.0471) loss_rec_all: 0.0805 (0.0830) loss_rec_sfr: 0.1006 (0.1192) loss_cl: -0.3671 (-0.3672) time: 0.8611 data: 0.0002 max mem: 29859 [17:31:42.360482] Epoch: [69] [240/850] eta: 0:08:54 lr: 0.002391 loss: 0.0450 (0.0472) loss_rec_all: 0.0806 (0.0830) loss_rec_sfr: 0.1394 (0.1210) loss_cl: -0.3666 (-0.3671) time: 0.8617 data: 0.0002 max mem: 29859 [17:31:59.597467] Epoch: [69] [260/850] eta: 0:08:36 lr: 0.002391 loss: 0.0466 (0.0473) loss_rec_all: 0.0823 (0.0831) loss_rec_sfr: 0.0957 (0.1204) loss_cl: -0.3668 (-0.3671) time: 0.8618 data: 0.0002 max mem: 29859 [17:32:16.837004] Epoch: [69] [280/850] eta: 0:08:18 lr: 0.002391 loss: 0.0468 (0.0474) loss_rec_all: 0.0823 (0.0833) loss_rec_sfr: 0.1294 (0.1208) loss_cl: -0.3663 (-0.3670) time: 0.8619 data: 0.0002 max mem: 29859 [17:32:34.054484] Epoch: [69] [300/850] eta: 0:08:00 lr: 0.002391 loss: 0.0452 (0.0473) loss_rec_all: 0.0813 (0.0832) loss_rec_sfr: 0.0969 (0.1199) loss_cl: -0.3671 (-0.3670) time: 0.8608 data: 0.0002 max mem: 29859 [17:32:51.290894] Epoch: [69] [320/850] eta: 0:07:42 lr: 0.002391 loss: 0.0476 (0.0475) loss_rec_all: 0.0837 (0.0834) loss_rec_sfr: 0.1229 (0.1202) loss_cl: -0.3674 (-0.3671) time: 0.8618 data: 0.0002 max mem: 29859 [17:33:08.498269] Epoch: [69] [340/850] eta: 0:07:24 lr: 0.002391 loss: 0.0484 (0.0476) loss_rec_all: 0.0839 (0.0835) loss_rec_sfr: 0.1349 (0.1217) loss_cl: -0.3677 (-0.3671) time: 0.8603 data: 0.0002 max mem: 29859 [17:33:25.744149] Epoch: [69] [360/850] eta: 0:07:07 lr: 0.002391 loss: 0.0456 (0.0475) loss_rec_all: 0.0817 (0.0834) loss_rec_sfr: 0.1001 (0.1215) loss_cl: -0.3676 (-0.3671) time: 0.8622 data: 0.0002 max mem: 29859 [17:33:42.953102] Epoch: [69] [380/850] eta: 0:06:49 lr: 0.002391 loss: 0.0460 (0.0475) loss_rec_all: 0.0817 (0.0834) loss_rec_sfr: 0.1016 (0.1213) loss_cl: -0.3669 (-0.3671) time: 0.8604 data: 0.0002 max mem: 29859 [17:34:00.215414] Epoch: [69] [400/850] eta: 0:06:31 lr: 0.002391 loss: 0.0465 (0.0476) loss_rec_all: 0.0821 (0.0834) loss_rec_sfr: 0.1331 (0.1217) loss_cl: -0.3667 (-0.3671) time: 0.8631 data: 0.0002 max mem: 29859 [17:34:17.410621] Epoch: [69] [420/850] eta: 0:06:14 lr: 0.002391 loss: 0.0448 (0.0475) loss_rec_all: 0.0808 (0.0833) loss_rec_sfr: 0.1317 (0.1219) loss_cl: -0.3670 (-0.3671) time: 0.8597 data: 0.0001 max mem: 29859 [17:34:34.680752] Epoch: [69] [440/850] eta: 0:05:56 lr: 0.002391 loss: 0.0434 (0.0473) loss_rec_all: 0.0795 (0.0832) loss_rec_sfr: 0.1047 (0.1215) loss_cl: -0.3676 (-0.3671) time: 0.8635 data: 0.0002 max mem: 29859 [17:34:51.876578] Epoch: [69] [460/850] eta: 0:05:39 lr: 0.002391 loss: 0.0441 (0.0473) loss_rec_all: 0.0803 (0.0832) loss_rec_sfr: 0.0992 (0.1213) loss_cl: -0.3676 (-0.3671) time: 0.8597 data: 0.0002 max mem: 29859 [17:35:09.132755] Epoch: [69] [480/850] eta: 0:05:21 lr: 0.002391 loss: 0.0446 (0.0473) loss_rec_all: 0.0806 (0.0831) loss_rec_sfr: 0.1005 (0.1211) loss_cl: -0.3673 (-0.3671) time: 0.8628 data: 0.0002 max mem: 29859 [17:35:26.322683] Epoch: [69] [500/850] eta: 0:05:04 lr: 0.002391 loss: 0.0463 (0.0473) loss_rec_all: 0.0824 (0.0831) loss_rec_sfr: 0.1304 (0.1213) loss_cl: -0.3667 (-0.3671) time: 0.8594 data: 0.0002 max mem: 29859 [17:35:43.589752] Epoch: [69] [520/850] eta: 0:04:46 lr: 0.002391 loss: 0.0469 (0.0473) loss_rec_all: 0.0824 (0.0832) loss_rec_sfr: 0.1292 (0.1218) loss_cl: -0.3666 (-0.3671) time: 0.8633 data: 0.0002 max mem: 29859 [17:36:00.797264] Epoch: [69] [540/850] eta: 0:04:29 lr: 0.002391 loss: 0.0451 (0.0473) loss_rec_all: 0.0812 (0.0831) loss_rec_sfr: 0.0973 (0.1217) loss_cl: -0.3676 (-0.3671) time: 0.8603 data: 0.0002 max mem: 29859 [17:36:18.026931] Epoch: [69] [560/850] eta: 0:04:11 lr: 0.002391 loss: 0.0457 (0.0473) loss_rec_all: 0.0818 (0.0831) loss_rec_sfr: 0.1284 (0.1215) loss_cl: -0.3682 (-0.3671) time: 0.8614 data: 0.0002 max mem: 29859 [17:36:35.238839] Epoch: [69] [580/850] eta: 0:03:54 lr: 0.002391 loss: 0.0456 (0.0473) loss_rec_all: 0.0816 (0.0831) loss_rec_sfr: 0.1305 (0.1218) loss_cl: -0.3675 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [17:36:52.468629] Epoch: [69] [600/850] eta: 0:03:36 lr: 0.002391 loss: 0.0453 (0.0473) loss_rec_all: 0.0811 (0.0831) loss_rec_sfr: 0.1235 (0.1217) loss_cl: -0.3667 (-0.3671) time: 0.8614 data: 0.0002 max mem: 29859 [17:37:09.673445] Epoch: [69] [620/850] eta: 0:03:19 lr: 0.002391 loss: 0.0483 (0.0473) loss_rec_all: 0.0843 (0.0832) loss_rec_sfr: 0.1299 (0.1218) loss_cl: -0.3665 (-0.3671) time: 0.8601 data: 0.0002 max mem: 29859 [17:37:26.905140] Epoch: [69] [640/850] eta: 0:03:02 lr: 0.002391 loss: 0.0446 (0.0473) loss_rec_all: 0.0807 (0.0832) loss_rec_sfr: 0.1290 (0.1220) loss_cl: -0.3669 (-0.3671) time: 0.8615 data: 0.0002 max mem: 29859 [17:37:44.124205] Epoch: [69] [660/850] eta: 0:02:44 lr: 0.002391 loss: 0.0460 (0.0473) loss_rec_all: 0.0816 (0.0831) loss_rec_sfr: 0.1198 (0.1220) loss_cl: -0.3673 (-0.3671) time: 0.8609 data: 0.0002 max mem: 29859 [17:38:01.360626] Epoch: [69] [680/850] eta: 0:02:27 lr: 0.002391 loss: 0.0470 (0.0473) loss_rec_all: 0.0827 (0.0831) loss_rec_sfr: 0.1524 (0.1223) loss_cl: -0.3670 (-0.3671) time: 0.8618 data: 0.0002 max mem: 29859 [17:38:18.552793] Epoch: [69] [700/850] eta: 0:02:09 lr: 0.002391 loss: 0.0462 (0.0473) loss_rec_all: 0.0822 (0.0832) loss_rec_sfr: 0.1103 (0.1224) loss_cl: -0.3668 (-0.3671) time: 0.8596 data: 0.0002 max mem: 29859 [17:38:35.804110] Epoch: [69] [720/850] eta: 0:01:52 lr: 0.002391 loss: 0.0468 (0.0473) loss_rec_all: 0.0825 (0.0832) loss_rec_sfr: 0.1250 (0.1226) loss_cl: -0.3675 (-0.3671) time: 0.8625 data: 0.0002 max mem: 29859 [17:38:52.997945] Epoch: [69] [740/850] eta: 0:01:35 lr: 0.002391 loss: 0.0439 (0.0473) loss_rec_all: 0.0801 (0.0831) loss_rec_sfr: 0.1059 (0.1223) loss_cl: -0.3684 (-0.3671) time: 0.8596 data: 0.0002 max mem: 29859 [17:39:10.238689] Epoch: [69] [760/850] eta: 0:01:17 lr: 0.002391 loss: 0.0464 (0.0473) loss_rec_all: 0.0820 (0.0831) loss_rec_sfr: 0.1079 (0.1223) loss_cl: -0.3680 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [17:39:27.430183] Epoch: [69] [780/850] eta: 0:01:00 lr: 0.002391 loss: 0.0457 (0.0473) loss_rec_all: 0.0812 (0.0831) loss_rec_sfr: 0.1028 (0.1223) loss_cl: -0.3666 (-0.3672) time: 0.8595 data: 0.0002 max mem: 29859 [17:39:44.675169] Epoch: [69] [800/850] eta: 0:00:43 lr: 0.002391 loss: 0.0467 (0.0473) loss_rec_all: 0.0826 (0.0831) loss_rec_sfr: 0.1069 (0.1222) loss_cl: -0.3664 (-0.3671) time: 0.8622 data: 0.0002 max mem: 29859 [17:40:01.864236] Epoch: [69] [820/850] eta: 0:00:25 lr: 0.002391 loss: 0.0466 (0.0473) loss_rec_all: 0.0823 (0.0832) loss_rec_sfr: 0.1373 (0.1225) loss_cl: -0.3667 (-0.3671) time: 0.8594 data: 0.0002 max mem: 29859 [17:40:19.105039] Epoch: [69] [840/850] eta: 0:00:08 lr: 0.002391 loss: 0.0467 (0.0473) loss_rec_all: 0.0828 (0.0832) loss_rec_sfr: 0.1270 (0.1227) loss_cl: -0.3670 (-0.3671) time: 0.8620 data: 0.0004 max mem: 29859 [17:40:26.837332] Epoch: [69] [849/850] eta: 0:00:00 lr: 0.002391 loss: 0.0493 (0.0473) loss_rec_all: 0.0851 (0.0832) loss_rec_sfr: 0.1295 (0.1226) loss_cl: -0.3670 (-0.3671) time: 0.8616 data: 0.0004 max mem: 29859 [17:40:26.991506] Epoch: [69] Total time: 0:12:15 (0.8658 s / it) [17:40:26.993956] Averaged stats: lr: 0.002391 loss: 0.0493 (0.0473) loss_rec_all: 0.0851 (0.0832) loss_rec_sfr: 0.1295 (0.1220) loss_cl: -0.3670 (-0.3671) [17:40:27.005538] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [17:40:31.901277] Epoch: [70] [ 0/850] eta: 1:09:20 lr: 0.002391 loss: 0.0415 (0.0415) loss_rec_all: 0.0775 (0.0775) loss_rec_sfr: 0.0787 (0.0787) loss_cl: -0.3652 (-0.3652) time: 4.8946 data: 4.0391 max mem: 29859 [17:40:49.045315] Epoch: [70] [ 20/850] eta: 0:14:31 lr: 0.002391 loss: 0.0445 (0.0459) loss_rec_all: 0.0804 (0.0817) loss_rec_sfr: 0.1209 (0.1169) loss_cl: -0.3667 (-0.3664) time: 0.8572 data: 0.0002 max mem: 29859 [17:41:06.284443] Epoch: [70] [ 40/850] eta: 0:12:55 lr: 0.002391 loss: 0.0453 (0.0459) loss_rec_all: 0.0809 (0.0817) loss_rec_sfr: 0.0936 (0.1149) loss_cl: -0.3665 (-0.3665) time: 0.8619 data: 0.0002 max mem: 29859 [17:41:23.469485] Epoch: [70] [ 60/850] eta: 0:12:11 lr: 0.002391 loss: 0.0445 (0.0459) loss_rec_all: 0.0800 (0.0817) loss_rec_sfr: 0.1040 (0.1162) loss_cl: -0.3669 (-0.3666) time: 0.8592 data: 0.0002 max mem: 29859 [17:41:40.709671] Epoch: [70] [ 80/850] eta: 0:11:40 lr: 0.002391 loss: 0.0461 (0.0462) loss_rec_all: 0.0819 (0.0820) loss_rec_sfr: 0.1037 (0.1181) loss_cl: -0.3674 (-0.3668) time: 0.8620 data: 0.0002 max mem: 29859 [17:41:57.904483] Epoch: [70] [100/850] eta: 0:11:14 lr: 0.002391 loss: 0.0472 (0.0468) loss_rec_all: 0.0832 (0.0826) loss_rec_sfr: 0.1357 (0.1201) loss_cl: -0.3674 (-0.3669) time: 0.8597 data: 0.0002 max mem: 29859 [17:42:15.153039] Epoch: [70] [120/850] eta: 0:10:52 lr: 0.002391 loss: 0.0455 (0.0469) loss_rec_all: 0.0816 (0.0827) loss_rec_sfr: 0.0927 (0.1193) loss_cl: -0.3674 (-0.3670) time: 0.8624 data: 0.0002 max mem: 29859 [17:42:32.345212] Epoch: [70] [140/850] eta: 0:10:31 lr: 0.002391 loss: 0.0478 (0.0473) loss_rec_all: 0.0837 (0.0832) loss_rec_sfr: 0.1403 (0.1207) loss_cl: -0.3668 (-0.3669) time: 0.8596 data: 0.0002 max mem: 29859 [17:42:49.574200] Epoch: [70] [160/850] eta: 0:10:10 lr: 0.002391 loss: 0.0462 (0.0474) loss_rec_all: 0.0818 (0.0832) loss_rec_sfr: 0.1339 (0.1217) loss_cl: -0.3671 (-0.3669) time: 0.8614 data: 0.0002 max mem: 29859 [17:43:06.788310] Epoch: [70] [180/850] eta: 0:09:51 lr: 0.002391 loss: 0.0450 (0.0473) loss_rec_all: 0.0806 (0.0831) loss_rec_sfr: 0.1290 (0.1222) loss_cl: -0.3671 (-0.3669) time: 0.8607 data: 0.0002 max mem: 29859 [17:43:24.021506] Epoch: [70] [200/850] eta: 0:09:32 lr: 0.002391 loss: 0.0445 (0.0471) loss_rec_all: 0.0803 (0.0829) loss_rec_sfr: 0.1167 (0.1224) loss_cl: -0.3672 (-0.3670) time: 0.8616 data: 0.0002 max mem: 29859 [17:43:41.249125] Epoch: [70] [220/850] eta: 0:09:13 lr: 0.002391 loss: 0.0451 (0.0470) loss_rec_all: 0.0806 (0.0828) loss_rec_sfr: 0.1321 (0.1230) loss_cl: -0.3667 (-0.3669) time: 0.8613 data: 0.0002 max mem: 29859 [17:43:58.483129] Epoch: [70] [240/850] eta: 0:08:55 lr: 0.002391 loss: 0.0451 (0.0468) loss_rec_all: 0.0809 (0.0827) loss_rec_sfr: 0.0974 (0.1227) loss_cl: -0.3666 (-0.3669) time: 0.8616 data: 0.0002 max mem: 29859 [17:44:15.701708] Epoch: [70] [260/850] eta: 0:08:36 lr: 0.002391 loss: 0.0432 (0.0466) loss_rec_all: 0.0792 (0.0825) loss_rec_sfr: 0.0973 (0.1224) loss_cl: -0.3669 (-0.3669) time: 0.8609 data: 0.0002 max mem: 29859 [17:44:32.941707] Epoch: [70] [280/850] eta: 0:08:18 lr: 0.002391 loss: 0.0429 (0.0464) loss_rec_all: 0.0791 (0.0823) loss_rec_sfr: 0.1326 (0.1228) loss_cl: -0.3680 (-0.3670) time: 0.8620 data: 0.0002 max mem: 29859 [17:44:50.141218] Epoch: [70] [300/850] eta: 0:08:00 lr: 0.002391 loss: 0.0451 (0.0464) loss_rec_all: 0.0806 (0.0822) loss_rec_sfr: 0.0961 (0.1224) loss_cl: -0.3682 (-0.3671) time: 0.8599 data: 0.0002 max mem: 29859 [17:45:07.380614] Epoch: [70] [320/850] eta: 0:07:42 lr: 0.002391 loss: 0.0446 (0.0463) loss_rec_all: 0.0803 (0.0822) loss_rec_sfr: 0.1253 (0.1223) loss_cl: -0.3679 (-0.3671) time: 0.8619 data: 0.0002 max mem: 29859 [17:45:24.582463] Epoch: [70] [340/850] eta: 0:07:25 lr: 0.002391 loss: 0.0434 (0.0463) loss_rec_all: 0.0796 (0.0821) loss_rec_sfr: 0.0987 (0.1222) loss_cl: -0.3672 (-0.3671) time: 0.8600 data: 0.0002 max mem: 29859 [17:45:41.841587] Epoch: [70] [360/850] eta: 0:07:07 lr: 0.002391 loss: 0.0501 (0.0465) loss_rec_all: 0.0856 (0.0824) loss_rec_sfr: 0.0979 (0.1221) loss_cl: -0.3669 (-0.3671) time: 0.8629 data: 0.0002 max mem: 29859 [17:45:59.042083] Epoch: [70] [380/850] eta: 0:06:49 lr: 0.002391 loss: 0.0458 (0.0466) loss_rec_all: 0.0819 (0.0825) loss_rec_sfr: 0.0960 (0.1218) loss_cl: -0.3670 (-0.3671) time: 0.8600 data: 0.0002 max mem: 29859 [17:46:16.309667] Epoch: [70] [400/850] eta: 0:06:31 lr: 0.002390 loss: 0.0453 (0.0467) loss_rec_all: 0.0812 (0.0825) loss_rec_sfr: 0.0998 (0.1213) loss_cl: -0.3672 (-0.3671) time: 0.8633 data: 0.0002 max mem: 29859 [17:46:33.522517] Epoch: [70] [420/850] eta: 0:06:14 lr: 0.002390 loss: 0.0460 (0.0467) loss_rec_all: 0.0820 (0.0826) loss_rec_sfr: 0.1017 (0.1210) loss_cl: -0.3664 (-0.3671) time: 0.8606 data: 0.0002 max mem: 29859 [17:46:50.788662] Epoch: [70] [440/850] eta: 0:05:56 lr: 0.002390 loss: 0.0446 (0.0467) loss_rec_all: 0.0805 (0.0826) loss_rec_sfr: 0.0983 (0.1208) loss_cl: -0.3666 (-0.3670) time: 0.8633 data: 0.0002 max mem: 29859 [17:47:08.000001] Epoch: [70] [460/850] eta: 0:05:39 lr: 0.002390 loss: 0.0441 (0.0467) loss_rec_all: 0.0800 (0.0826) loss_rec_sfr: 0.0929 (0.1203) loss_cl: -0.3665 (-0.3670) time: 0.8605 data: 0.0002 max mem: 29859 [17:47:25.263131] Epoch: [70] [480/850] eta: 0:05:21 lr: 0.002390 loss: 0.0473 (0.0468) loss_rec_all: 0.0829 (0.0826) loss_rec_sfr: 0.1514 (0.1215) loss_cl: -0.3673 (-0.3670) time: 0.8631 data: 0.0002 max mem: 29859 [17:47:42.476924] Epoch: [70] [500/850] eta: 0:05:04 lr: 0.002390 loss: 0.0452 (0.0467) loss_rec_all: 0.0814 (0.0826) loss_rec_sfr: 0.0946 (0.1212) loss_cl: -0.3678 (-0.3671) time: 0.8606 data: 0.0002 max mem: 29859 [17:47:59.717203] Epoch: [70] [520/850] eta: 0:04:46 lr: 0.002390 loss: 0.0430 (0.0466) loss_rec_all: 0.0791 (0.0825) loss_rec_sfr: 0.0915 (0.1210) loss_cl: -0.3677 (-0.3671) time: 0.8620 data: 0.0002 max mem: 29859 [17:48:16.940508] Epoch: [70] [540/850] eta: 0:04:29 lr: 0.002390 loss: 0.0445 (0.0466) loss_rec_all: 0.0802 (0.0824) loss_rec_sfr: 0.1244 (0.1209) loss_cl: -0.3674 (-0.3671) time: 0.8611 data: 0.0002 max mem: 29859 [17:48:34.184391] Epoch: [70] [560/850] eta: 0:04:11 lr: 0.002390 loss: 0.0454 (0.0466) loss_rec_all: 0.0809 (0.0824) loss_rec_sfr: 0.1065 (0.1210) loss_cl: -0.3670 (-0.3671) time: 0.8621 data: 0.0002 max mem: 29859 [17:48:51.407969] Epoch: [70] [580/850] eta: 0:03:54 lr: 0.002390 loss: 0.0468 (0.0467) loss_rec_all: 0.0825 (0.0825) loss_rec_sfr: 0.1305 (0.1212) loss_cl: -0.3668 (-0.3671) time: 0.8611 data: 0.0002 max mem: 29859 [17:49:08.656823] Epoch: [70] [600/850] eta: 0:03:36 lr: 0.002390 loss: 0.0446 (0.0466) loss_rec_all: 0.0801 (0.0825) loss_rec_sfr: 0.1046 (0.1209) loss_cl: -0.3660 (-0.3670) time: 0.8624 data: 0.0002 max mem: 29859 [17:49:25.891089] Epoch: [70] [620/850] eta: 0:03:19 lr: 0.002390 loss: 0.0439 (0.0466) loss_rec_all: 0.0798 (0.0824) loss_rec_sfr: 0.0988 (0.1207) loss_cl: -0.3669 (-0.3670) time: 0.8616 data: 0.0002 max mem: 29859 [17:49:43.138720] Epoch: [70] [640/850] eta: 0:03:02 lr: 0.002390 loss: 0.0455 (0.0466) loss_rec_all: 0.0813 (0.0825) loss_rec_sfr: 0.1011 (0.1204) loss_cl: -0.3672 (-0.3670) time: 0.8623 data: 0.0002 max mem: 29859 [17:50:00.347687] Epoch: [70] [660/850] eta: 0:02:44 lr: 0.002390 loss: 0.0476 (0.0467) loss_rec_all: 0.0836 (0.0826) loss_rec_sfr: 0.1072 (0.1206) loss_cl: -0.3679 (-0.3671) time: 0.8604 data: 0.0002 max mem: 29859 [17:50:17.611050] Epoch: [70] [680/850] eta: 0:02:27 lr: 0.002390 loss: 0.0485 (0.0469) loss_rec_all: 0.0839 (0.0827) loss_rec_sfr: 0.1427 (0.1209) loss_cl: -0.3665 (-0.3670) time: 0.8631 data: 0.0002 max mem: 29859 [17:50:34.819607] Epoch: [70] [700/850] eta: 0:02:10 lr: 0.002390 loss: 0.0468 (0.0469) loss_rec_all: 0.0826 (0.0827) loss_rec_sfr: 0.0997 (0.1208) loss_cl: -0.3661 (-0.3670) time: 0.8604 data: 0.0002 max mem: 29859 [17:50:52.076918] Epoch: [70] [720/850] eta: 0:01:52 lr: 0.002390 loss: 0.0460 (0.0469) loss_rec_all: 0.0816 (0.0827) loss_rec_sfr: 0.1062 (0.1207) loss_cl: -0.3668 (-0.3670) time: 0.8628 data: 0.0002 max mem: 29859 [17:51:09.286018] Epoch: [70] [740/850] eta: 0:01:35 lr: 0.002390 loss: 0.0451 (0.0469) loss_rec_all: 0.0810 (0.0827) loss_rec_sfr: 0.1350 (0.1209) loss_cl: -0.3672 (-0.3670) time: 0.8604 data: 0.0002 max mem: 29859 [17:51:26.550150] Epoch: [70] [760/850] eta: 0:01:17 lr: 0.002390 loss: 0.0461 (0.0469) loss_rec_all: 0.0820 (0.0828) loss_rec_sfr: 0.1091 (0.1207) loss_cl: -0.3674 (-0.3670) time: 0.8632 data: 0.0002 max mem: 29859 [17:51:43.754718] Epoch: [70] [780/850] eta: 0:01:00 lr: 0.002390 loss: 0.0473 (0.0469) loss_rec_all: 0.0831 (0.0828) loss_rec_sfr: 0.1291 (0.1208) loss_cl: -0.3678 (-0.3670) time: 0.8602 data: 0.0002 max mem: 29859 [17:52:01.010758] Epoch: [70] [800/850] eta: 0:00:43 lr: 0.002390 loss: 0.0451 (0.0469) loss_rec_all: 0.0808 (0.0827) loss_rec_sfr: 0.1096 (0.1209) loss_cl: -0.3675 (-0.3671) time: 0.8628 data: 0.0002 max mem: 29859 [17:52:18.216033] Epoch: [70] [820/850] eta: 0:00:25 lr: 0.002390 loss: 0.0417 (0.0468) loss_rec_all: 0.0779 (0.0826) loss_rec_sfr: 0.0820 (0.1204) loss_cl: -0.3678 (-0.3671) time: 0.8602 data: 0.0002 max mem: 29859 [17:52:35.467183] Epoch: [70] [840/850] eta: 0:00:08 lr: 0.002390 loss: 0.0431 (0.0467) loss_rec_all: 0.0787 (0.0826) loss_rec_sfr: 0.1231 (0.1204) loss_cl: -0.3668 (-0.3671) time: 0.8625 data: 0.0004 max mem: 29859 [17:52:43.238845] Epoch: [70] [849/850] eta: 0:00:00 lr: 0.002390 loss: 0.0431 (0.0467) loss_rec_all: 0.0789 (0.0826) loss_rec_sfr: 0.1051 (0.1203) loss_cl: -0.3668 (-0.3671) time: 0.8638 data: 0.0005 max mem: 29859 [17:52:43.384644] Epoch: [70] Total time: 0:12:16 (0.8663 s / it) [17:52:43.387084] Averaged stats: lr: 0.002390 loss: 0.0431 (0.0467) loss_rec_all: 0.0789 (0.0825) loss_rec_sfr: 0.1051 (0.1213) loss_cl: -0.3668 (-0.3671) [17:52:43.399855] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [17:52:47.409720] Epoch: [71] [ 0/850] eta: 0:56:47 lr: 0.002390 loss: 0.0470 (0.0470) loss_rec_all: 0.0824 (0.0824) loss_rec_sfr: 0.1716 (0.1716) loss_cl: -0.3662 (-0.3662) time: 4.0086 data: 2.8554 max mem: 29859 [17:53:04.591520] Epoch: [71] [ 20/850] eta: 0:13:57 lr: 0.002390 loss: 0.0426 (0.0436) loss_rec_all: 0.0783 (0.0794) loss_rec_sfr: 0.1232 (0.1251) loss_cl: -0.3668 (-0.3665) time: 0.8590 data: 0.0002 max mem: 29859 [17:53:21.840890] Epoch: [71] [ 40/850] eta: 0:12:39 lr: 0.002390 loss: 0.0454 (0.0446) loss_rec_all: 0.0813 (0.0804) loss_rec_sfr: 0.1324 (0.1295) loss_cl: -0.3671 (-0.3667) time: 0.8624 data: 0.0002 max mem: 29859 [17:53:39.026886] Epoch: [71] [ 60/850] eta: 0:12:00 lr: 0.002390 loss: 0.0477 (0.0461) loss_rec_all: 0.0834 (0.0819) loss_rec_sfr: 0.1060 (0.1271) loss_cl: -0.3671 (-0.3669) time: 0.8593 data: 0.0002 max mem: 29859 [17:53:56.264271] Epoch: [71] [ 80/850] eta: 0:11:32 lr: 0.002390 loss: 0.0457 (0.0463) loss_rec_all: 0.0815 (0.0821) loss_rec_sfr: 0.1390 (0.1291) loss_cl: -0.3676 (-0.3670) time: 0.8618 data: 0.0002 max mem: 29859 [17:54:13.476835] Epoch: [71] [100/850] eta: 0:11:08 lr: 0.002390 loss: 0.0456 (0.0462) loss_rec_all: 0.0817 (0.0821) loss_rec_sfr: 0.0902 (0.1235) loss_cl: -0.3669 (-0.3670) time: 0.8606 data: 0.0002 max mem: 29859 [17:54:30.703764] Epoch: [71] [120/850] eta: 0:10:47 lr: 0.002390 loss: 0.0450 (0.0459) loss_rec_all: 0.0806 (0.0818) loss_rec_sfr: 0.1056 (0.1227) loss_cl: -0.3673 (-0.3670) time: 0.8613 data: 0.0002 max mem: 29859 [17:54:47.915692] Epoch: [71] [140/850] eta: 0:10:26 lr: 0.002390 loss: 0.0455 (0.0459) loss_rec_all: 0.0812 (0.0818) loss_rec_sfr: 0.1233 (0.1239) loss_cl: -0.3669 (-0.3670) time: 0.8605 data: 0.0002 max mem: 29859 [17:55:05.141513] Epoch: [71] [160/850] eta: 0:10:07 lr: 0.002390 loss: 0.0445 (0.0459) loss_rec_all: 0.0803 (0.0817) loss_rec_sfr: 0.1378 (0.1249) loss_cl: -0.3669 (-0.3670) time: 0.8612 data: 0.0002 max mem: 29859 [17:55:22.346400] Epoch: [71] [180/850] eta: 0:09:48 lr: 0.002390 loss: 0.0452 (0.0458) loss_rec_all: 0.0813 (0.0817) loss_rec_sfr: 0.0879 (0.1230) loss_cl: -0.3670 (-0.3670) time: 0.8602 data: 0.0002 max mem: 29859 [17:55:39.587722] Epoch: [71] [200/850] eta: 0:09:29 lr: 0.002390 loss: 0.0462 (0.0459) loss_rec_all: 0.0823 (0.0818) loss_rec_sfr: 0.0992 (0.1220) loss_cl: -0.3672 (-0.3670) time: 0.8620 data: 0.0002 max mem: 29859 [17:55:56.779960] Epoch: [71] [220/850] eta: 0:09:11 lr: 0.002390 loss: 0.0443 (0.0459) loss_rec_all: 0.0805 (0.0818) loss_rec_sfr: 0.1220 (0.1218) loss_cl: -0.3672 (-0.3670) time: 0.8596 data: 0.0002 max mem: 29859 [17:56:14.034482] Epoch: [71] [240/850] eta: 0:08:53 lr: 0.002390 loss: 0.0456 (0.0459) loss_rec_all: 0.0813 (0.0817) loss_rec_sfr: 0.1257 (0.1221) loss_cl: -0.3674 (-0.3670) time: 0.8627 data: 0.0002 max mem: 29859 [17:56:31.226490] Epoch: [71] [260/850] eta: 0:08:34 lr: 0.002390 loss: 0.0430 (0.0459) loss_rec_all: 0.0790 (0.0817) loss_rec_sfr: 0.0950 (0.1208) loss_cl: -0.3675 (-0.3671) time: 0.8596 data: 0.0002 max mem: 29859 [17:56:48.492937] Epoch: [71] [280/850] eta: 0:08:17 lr: 0.002390 loss: 0.0448 (0.0459) loss_rec_all: 0.0809 (0.0818) loss_rec_sfr: 0.1046 (0.1205) loss_cl: -0.3674 (-0.3671) time: 0.8633 data: 0.0002 max mem: 29859 [17:57:05.688219] Epoch: [71] [300/850] eta: 0:07:59 lr: 0.002390 loss: 0.0443 (0.0459) loss_rec_all: 0.0801 (0.0818) loss_rec_sfr: 0.1189 (0.1204) loss_cl: -0.3673 (-0.3671) time: 0.8597 data: 0.0002 max mem: 29859 [17:57:22.973837] Epoch: [71] [320/850] eta: 0:07:41 lr: 0.002390 loss: 0.0436 (0.0459) loss_rec_all: 0.0794 (0.0817) loss_rec_sfr: 0.1158 (0.1200) loss_cl: -0.3672 (-0.3671) time: 0.8642 data: 0.0002 max mem: 29859 [17:57:40.194312] Epoch: [71] [340/850] eta: 0:07:23 lr: 0.002390 loss: 0.0439 (0.0458) loss_rec_all: 0.0797 (0.0817) loss_rec_sfr: 0.1041 (0.1198) loss_cl: -0.3673 (-0.3671) time: 0.8610 data: 0.0002 max mem: 29859 [17:57:57.423726] Epoch: [71] [360/850] eta: 0:07:06 lr: 0.002390 loss: 0.0441 (0.0458) loss_rec_all: 0.0797 (0.0816) loss_rec_sfr: 0.1246 (0.1200) loss_cl: -0.3668 (-0.3671) time: 0.8614 data: 0.0002 max mem: 29859 [17:58:14.643920] Epoch: [71] [380/850] eta: 0:06:48 lr: 0.002390 loss: 0.0477 (0.0459) loss_rec_all: 0.0830 (0.0818) loss_rec_sfr: 0.1337 (0.1208) loss_cl: -0.3665 (-0.3671) time: 0.8610 data: 0.0002 max mem: 29859 [17:58:31.877395] Epoch: [71] [400/850] eta: 0:06:31 lr: 0.002390 loss: 0.0452 (0.0460) loss_rec_all: 0.0813 (0.0818) loss_rec_sfr: 0.0898 (0.1202) loss_cl: -0.3668 (-0.3671) time: 0.8616 data: 0.0002 max mem: 29859 [17:58:49.152259] Epoch: [71] [420/850] eta: 0:06:13 lr: 0.002390 loss: 0.0445 (0.0460) loss_rec_all: 0.0804 (0.0819) loss_rec_sfr: 0.1078 (0.1201) loss_cl: -0.3665 (-0.3670) time: 0.8637 data: 0.0002 max mem: 29859 [17:59:06.393415] Epoch: [71] [440/850] eta: 0:05:56 lr: 0.002390 loss: 0.0441 (0.0460) loss_rec_all: 0.0801 (0.0819) loss_rec_sfr: 0.1335 (0.1204) loss_cl: -0.3667 (-0.3670) time: 0.8620 data: 0.0002 max mem: 29859 [17:59:23.594486] Epoch: [71] [460/850] eta: 0:05:38 lr: 0.002390 loss: 0.0433 (0.0459) loss_rec_all: 0.0794 (0.0818) loss_rec_sfr: 0.0966 (0.1201) loss_cl: -0.3673 (-0.3670) time: 0.8600 data: 0.0002 max mem: 29859 [17:59:40.863339] Epoch: [71] [480/850] eta: 0:05:21 lr: 0.002390 loss: 0.0416 (0.0458) loss_rec_all: 0.0776 (0.0817) loss_rec_sfr: 0.0931 (0.1199) loss_cl: -0.3678 (-0.3671) time: 0.8634 data: 0.0002 max mem: 29859 [17:59:58.055735] Epoch: [71] [500/850] eta: 0:05:03 lr: 0.002390 loss: 0.0423 (0.0458) loss_rec_all: 0.0785 (0.0816) loss_rec_sfr: 0.0918 (0.1192) loss_cl: -0.3675 (-0.3671) time: 0.8596 data: 0.0002 max mem: 29859 [18:00:15.328801] Epoch: [71] [520/850] eta: 0:04:46 lr: 0.002390 loss: 0.0413 (0.0457) loss_rec_all: 0.0774 (0.0816) loss_rec_sfr: 0.0958 (0.1188) loss_cl: -0.3669 (-0.3671) time: 0.8636 data: 0.0002 max mem: 29859 [18:00:32.524968] Epoch: [71] [540/850] eta: 0:04:28 lr: 0.002390 loss: 0.0436 (0.0457) loss_rec_all: 0.0798 (0.0816) loss_rec_sfr: 0.1250 (0.1188) loss_cl: -0.3666 (-0.3671) time: 0.8598 data: 0.0002 max mem: 29859 [18:00:49.787061] Epoch: [71] [560/850] eta: 0:04:11 lr: 0.002390 loss: 0.0503 (0.0459) loss_rec_all: 0.0862 (0.0818) loss_rec_sfr: 0.1028 (0.1190) loss_cl: -0.3672 (-0.3671) time: 0.8630 data: 0.0002 max mem: 29859 [18:01:07.001758] Epoch: [71] [580/850] eta: 0:03:54 lr: 0.002390 loss: 0.0463 (0.0459) loss_rec_all: 0.0825 (0.0818) loss_rec_sfr: 0.0935 (0.1187) loss_cl: -0.3673 (-0.3671) time: 0.8607 data: 0.0002 max mem: 29859 [18:01:24.240437] Epoch: [71] [600/850] eta: 0:03:36 lr: 0.002390 loss: 0.0465 (0.0460) loss_rec_all: 0.0827 (0.0819) loss_rec_sfr: 0.1302 (0.1188) loss_cl: -0.3673 (-0.3671) time: 0.8619 data: 0.0002 max mem: 29859 [18:01:41.460888] Epoch: [71] [620/850] eta: 0:03:19 lr: 0.002390 loss: 0.0460 (0.0460) loss_rec_all: 0.0814 (0.0819) loss_rec_sfr: 0.1353 (0.1193) loss_cl: -0.3674 (-0.3671) time: 0.8610 data: 0.0002 max mem: 29859 [18:01:58.700419] Epoch: [71] [640/850] eta: 0:03:01 lr: 0.002390 loss: 0.0439 (0.0460) loss_rec_all: 0.0800 (0.0818) loss_rec_sfr: 0.0888 (0.1190) loss_cl: -0.3669 (-0.3671) time: 0.8619 data: 0.0002 max mem: 29859 [18:02:15.938202] Epoch: [71] [660/850] eta: 0:02:44 lr: 0.002390 loss: 0.0436 (0.0460) loss_rec_all: 0.0797 (0.0818) loss_rec_sfr: 0.0950 (0.1188) loss_cl: -0.3669 (-0.3671) time: 0.8618 data: 0.0002 max mem: 29859 [18:02:33.173608] Epoch: [71] [680/850] eta: 0:02:27 lr: 0.002390 loss: 0.0440 (0.0459) loss_rec_all: 0.0799 (0.0818) loss_rec_sfr: 0.1028 (0.1186) loss_cl: -0.3670 (-0.3671) time: 0.8617 data: 0.0002 max mem: 29859 [18:02:50.371113] Epoch: [71] [700/850] eta: 0:02:09 lr: 0.002390 loss: 0.0466 (0.0460) loss_rec_all: 0.0824 (0.0819) loss_rec_sfr: 0.1317 (0.1188) loss_cl: -0.3676 (-0.3671) time: 0.8598 data: 0.0002 max mem: 29859 [18:03:07.632243] Epoch: [71] [720/850] eta: 0:01:52 lr: 0.002390 loss: 0.0466 (0.0461) loss_rec_all: 0.0826 (0.0820) loss_rec_sfr: 0.1095 (0.1188) loss_cl: -0.3676 (-0.3671) time: 0.8630 data: 0.0002 max mem: 29859 [18:03:24.822048] Epoch: [71] [740/850] eta: 0:01:35 lr: 0.002390 loss: 0.0485 (0.0462) loss_rec_all: 0.0845 (0.0821) loss_rec_sfr: 0.1483 (0.1193) loss_cl: -0.3673 (-0.3671) time: 0.8594 data: 0.0002 max mem: 29859 [18:03:42.092460] Epoch: [71] [760/850] eta: 0:01:17 lr: 0.002390 loss: 0.0467 (0.0462) loss_rec_all: 0.0825 (0.0821) loss_rec_sfr: 0.0888 (0.1192) loss_cl: -0.3672 (-0.3671) time: 0.8635 data: 0.0002 max mem: 29859 [18:03:59.303191] Epoch: [71] [780/850] eta: 0:01:00 lr: 0.002390 loss: 0.0452 (0.0463) loss_rec_all: 0.0812 (0.0821) loss_rec_sfr: 0.0881 (0.1189) loss_cl: -0.3662 (-0.3671) time: 0.8605 data: 0.0002 max mem: 29859 [18:04:16.570024] Epoch: [71] [800/850] eta: 0:00:43 lr: 0.002390 loss: 0.0442 (0.0462) loss_rec_all: 0.0799 (0.0821) loss_rec_sfr: 0.1196 (0.1191) loss_cl: -0.3672 (-0.3671) time: 0.8633 data: 0.0002 max mem: 29859 [18:04:33.778219] Epoch: [71] [820/850] eta: 0:00:25 lr: 0.002390 loss: 0.0452 (0.0463) loss_rec_all: 0.0815 (0.0821) loss_rec_sfr: 0.1025 (0.1189) loss_cl: -0.3686 (-0.3671) time: 0.8604 data: 0.0002 max mem: 29859 [18:04:51.012350] Epoch: [71] [840/850] eta: 0:00:08 lr: 0.002390 loss: 0.0469 (0.0463) loss_rec_all: 0.0828 (0.0822) loss_rec_sfr: 0.1032 (0.1190) loss_cl: -0.3684 (-0.3672) time: 0.8616 data: 0.0005 max mem: 29859 [18:04:58.778287] Epoch: [71] [849/850] eta: 0:00:00 lr: 0.002390 loss: 0.0453 (0.0463) loss_rec_all: 0.0813 (0.0822) loss_rec_sfr: 0.1161 (0.1190) loss_cl: -0.3682 (-0.3672) time: 0.8628 data: 0.0005 max mem: 29859 [18:04:58.916963] Epoch: [71] Total time: 0:12:15 (0.8653 s / it) [18:04:58.933611] Averaged stats: lr: 0.002390 loss: 0.0453 (0.0464) loss_rec_all: 0.0813 (0.0823) loss_rec_sfr: 0.1161 (0.1200) loss_cl: -0.3682 (-0.3671) [18:04:58.942486] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [18:05:03.295460] Epoch: [72] [ 0/850] eta: 1:01:39 lr: 0.002390 loss: 0.0458 (0.0458) loss_rec_all: 0.0819 (0.0819) loss_rec_sfr: 0.0827 (0.0827) loss_cl: -0.3666 (-0.3666) time: 4.3519 data: 2.8867 max mem: 29859 [18:05:20.466838] Epoch: [72] [ 20/850] eta: 0:14:10 lr: 0.002390 loss: 0.0479 (0.0494) loss_rec_all: 0.0832 (0.0852) loss_rec_sfr: 0.1358 (0.1283) loss_cl: -0.3666 (-0.3667) time: 0.8585 data: 0.0002 max mem: 29859 [18:05:37.715620] Epoch: [72] [ 40/850] eta: 0:12:45 lr: 0.002389 loss: 0.0461 (0.0478) loss_rec_all: 0.0819 (0.0835) loss_rec_sfr: 0.1441 (0.1312) loss_cl: -0.3659 (-0.3662) time: 0.8624 data: 0.0002 max mem: 29859 [18:05:54.913950] Epoch: [72] [ 60/850] eta: 0:12:04 lr: 0.002389 loss: 0.0446 (0.0473) loss_rec_all: 0.0806 (0.0831) loss_rec_sfr: 0.0998 (0.1262) loss_cl: -0.3662 (-0.3661) time: 0.8599 data: 0.0002 max mem: 29859 [18:06:12.136733] Epoch: [72] [ 80/850] eta: 0:11:35 lr: 0.002389 loss: 0.0452 (0.0471) loss_rec_all: 0.0808 (0.0829) loss_rec_sfr: 0.1018 (0.1238) loss_cl: -0.3668 (-0.3662) time: 0.8611 data: 0.0002 max mem: 29859 [18:06:29.358970] Epoch: [72] [100/850] eta: 0:11:11 lr: 0.002389 loss: 0.0437 (0.0466) loss_rec_all: 0.0796 (0.0824) loss_rec_sfr: 0.1278 (0.1232) loss_cl: -0.3675 (-0.3664) time: 0.8611 data: 0.0002 max mem: 29859 [18:06:46.586028] Epoch: [72] [120/850] eta: 0:10:49 lr: 0.002389 loss: 0.0425 (0.0460) loss_rec_all: 0.0786 (0.0818) loss_rec_sfr: 0.0999 (0.1204) loss_cl: -0.3677 (-0.3667) time: 0.8613 data: 0.0002 max mem: 29859 [18:07:03.801714] Epoch: [72] [140/850] eta: 0:10:28 lr: 0.002389 loss: 0.0423 (0.0456) loss_rec_all: 0.0780 (0.0814) loss_rec_sfr: 0.0814 (0.1191) loss_cl: -0.3670 (-0.3667) time: 0.8607 data: 0.0002 max mem: 29859 [18:07:21.047745] Epoch: [72] [160/850] eta: 0:10:08 lr: 0.002389 loss: 0.0414 (0.0452) loss_rec_all: 0.0774 (0.0811) loss_rec_sfr: 0.0958 (0.1175) loss_cl: -0.3671 (-0.3668) time: 0.8623 data: 0.0002 max mem: 29859 [18:07:38.256642] Epoch: [72] [180/850] eta: 0:09:49 lr: 0.002389 loss: 0.0429 (0.0450) loss_rec_all: 0.0787 (0.0809) loss_rec_sfr: 0.1019 (0.1180) loss_cl: -0.3668 (-0.3668) time: 0.8604 data: 0.0002 max mem: 29859 [18:07:55.503697] Epoch: [72] [200/850] eta: 0:09:30 lr: 0.002389 loss: 0.0449 (0.0450) loss_rec_all: 0.0805 (0.0809) loss_rec_sfr: 0.1492 (0.1197) loss_cl: -0.3672 (-0.3668) time: 0.8623 data: 0.0002 max mem: 29859 [18:08:12.703938] Epoch: [72] [220/850] eta: 0:09:12 lr: 0.002389 loss: 0.0447 (0.0450) loss_rec_all: 0.0804 (0.0809) loss_rec_sfr: 0.1294 (0.1206) loss_cl: -0.3679 (-0.3669) time: 0.8600 data: 0.0002 max mem: 29859 [18:08:29.943653] Epoch: [72] [240/850] eta: 0:08:54 lr: 0.002389 loss: 0.0449 (0.0451) loss_rec_all: 0.0809 (0.0809) loss_rec_sfr: 0.1112 (0.1211) loss_cl: -0.3683 (-0.3670) time: 0.8619 data: 0.0002 max mem: 29859 [18:08:47.148204] Epoch: [72] [260/850] eta: 0:08:35 lr: 0.002389 loss: 0.0460 (0.0452) loss_rec_all: 0.0816 (0.0811) loss_rec_sfr: 0.1246 (0.1218) loss_cl: -0.3678 (-0.3671) time: 0.8602 data: 0.0002 max mem: 29859 [18:09:04.406722] Epoch: [72] [280/850] eta: 0:08:17 lr: 0.002389 loss: 0.0443 (0.0452) loss_rec_all: 0.0804 (0.0810) loss_rec_sfr: 0.1418 (0.1224) loss_cl: -0.3669 (-0.3671) time: 0.8629 data: 0.0002 max mem: 29859 [18:09:21.613257] Epoch: [72] [300/850] eta: 0:07:59 lr: 0.002389 loss: 0.0421 (0.0450) loss_rec_all: 0.0779 (0.0809) loss_rec_sfr: 0.0967 (0.1219) loss_cl: -0.3664 (-0.3670) time: 0.8603 data: 0.0002 max mem: 29859 [18:09:38.856211] Epoch: [72] [320/850] eta: 0:07:42 lr: 0.002389 loss: 0.0422 (0.0449) loss_rec_all: 0.0778 (0.0807) loss_rec_sfr: 0.1423 (0.1222) loss_cl: -0.3662 (-0.3670) time: 0.8621 data: 0.0002 max mem: 29859 [18:09:56.072661] Epoch: [72] [340/850] eta: 0:07:24 lr: 0.002389 loss: 0.0425 (0.0447) loss_rec_all: 0.0785 (0.0806) loss_rec_sfr: 0.0873 (0.1209) loss_cl: -0.3665 (-0.3669) time: 0.8608 data: 0.0002 max mem: 29859 [18:10:13.313774] Epoch: [72] [360/850] eta: 0:07:06 lr: 0.002389 loss: 0.0461 (0.0449) loss_rec_all: 0.0821 (0.0807) loss_rec_sfr: 0.1071 (0.1209) loss_cl: -0.3679 (-0.3670) time: 0.8620 data: 0.0002 max mem: 29859 [18:10:30.521699] Epoch: [72] [380/850] eta: 0:06:49 lr: 0.002389 loss: 0.0489 (0.0451) loss_rec_all: 0.0846 (0.0810) loss_rec_sfr: 0.1164 (0.1213) loss_cl: -0.3686 (-0.3670) time: 0.8604 data: 0.0002 max mem: 29859 [18:10:47.758072] Epoch: [72] [400/850] eta: 0:06:31 lr: 0.002389 loss: 0.0518 (0.0456) loss_rec_all: 0.0877 (0.0814) loss_rec_sfr: 0.1560 (0.1224) loss_cl: -0.3675 (-0.3671) time: 0.8618 data: 0.0002 max mem: 29859 [18:11:04.960607] Epoch: [72] [420/850] eta: 0:06:13 lr: 0.002389 loss: 0.0480 (0.0457) loss_rec_all: 0.0838 (0.0816) loss_rec_sfr: 0.1016 (0.1221) loss_cl: -0.3671 (-0.3671) time: 0.8601 data: 0.0002 max mem: 29859 [18:11:22.208912] Epoch: [72] [440/850] eta: 0:05:56 lr: 0.002389 loss: 0.0486 (0.0459) loss_rec_all: 0.0844 (0.0818) loss_rec_sfr: 0.1310 (0.1223) loss_cl: -0.3668 (-0.3671) time: 0.8624 data: 0.0002 max mem: 29859 [18:11:39.415775] Epoch: [72] [460/850] eta: 0:05:38 lr: 0.002389 loss: 0.0458 (0.0459) loss_rec_all: 0.0812 (0.0818) loss_rec_sfr: 0.1230 (0.1224) loss_cl: -0.3665 (-0.3670) time: 0.8603 data: 0.0002 max mem: 29859 [18:11:56.670628] Epoch: [72] [480/850] eta: 0:05:21 lr: 0.002389 loss: 0.0447 (0.0459) loss_rec_all: 0.0803 (0.0818) loss_rec_sfr: 0.1223 (0.1222) loss_cl: -0.3665 (-0.3670) time: 0.8627 data: 0.0002 max mem: 29859 [18:12:13.881025] Epoch: [72] [500/850] eta: 0:05:03 lr: 0.002389 loss: 0.0430 (0.0458) loss_rec_all: 0.0791 (0.0817) loss_rec_sfr: 0.0976 (0.1218) loss_cl: -0.3669 (-0.3670) time: 0.8605 data: 0.0002 max mem: 29859 [18:12:31.118372] Epoch: [72] [520/850] eta: 0:04:46 lr: 0.002389 loss: 0.0434 (0.0458) loss_rec_all: 0.0795 (0.0816) loss_rec_sfr: 0.1001 (0.1214) loss_cl: -0.3679 (-0.3670) time: 0.8618 data: 0.0002 max mem: 29859 [18:12:48.328257] Epoch: [72] [540/850] eta: 0:04:28 lr: 0.002389 loss: 0.0430 (0.0457) loss_rec_all: 0.0789 (0.0816) loss_rec_sfr: 0.1242 (0.1214) loss_cl: -0.3679 (-0.3671) time: 0.8604 data: 0.0002 max mem: 29859 [18:13:05.570258] Epoch: [72] [560/850] eta: 0:04:11 lr: 0.002389 loss: 0.0471 (0.0458) loss_rec_all: 0.0828 (0.0817) loss_rec_sfr: 0.1356 (0.1219) loss_cl: -0.3680 (-0.3671) time: 0.8621 data: 0.0002 max mem: 29859 [18:13:22.794294] Epoch: [72] [580/850] eta: 0:03:54 lr: 0.002389 loss: 0.0433 (0.0458) loss_rec_all: 0.0794 (0.0816) loss_rec_sfr: 0.0979 (0.1215) loss_cl: -0.3676 (-0.3671) time: 0.8612 data: 0.0002 max mem: 29859 [18:13:40.034113] Epoch: [72] [600/850] eta: 0:03:36 lr: 0.002389 loss: 0.0430 (0.0457) loss_rec_all: 0.0791 (0.0816) loss_rec_sfr: 0.1339 (0.1215) loss_cl: -0.3671 (-0.3671) time: 0.8619 data: 0.0002 max mem: 29859 [18:13:57.272970] Epoch: [72] [620/850] eta: 0:03:19 lr: 0.002389 loss: 0.0423 (0.0456) loss_rec_all: 0.0785 (0.0815) loss_rec_sfr: 0.1274 (0.1216) loss_cl: -0.3662 (-0.3671) time: 0.8619 data: 0.0002 max mem: 29859 [18:14:14.522626] Epoch: [72] [640/850] eta: 0:03:02 lr: 0.002389 loss: 0.0415 (0.0455) loss_rec_all: 0.0776 (0.0814) loss_rec_sfr: 0.0936 (0.1210) loss_cl: -0.3666 (-0.3671) time: 0.8624 data: 0.0002 max mem: 29859 [18:14:31.738262] Epoch: [72] [660/850] eta: 0:02:44 lr: 0.002389 loss: 0.0432 (0.0455) loss_rec_all: 0.0789 (0.0814) loss_rec_sfr: 0.1242 (0.1210) loss_cl: -0.3664 (-0.3671) time: 0.8607 data: 0.0002 max mem: 29859 [18:14:48.958809] Epoch: [72] [680/850] eta: 0:02:27 lr: 0.002389 loss: 0.0449 (0.0455) loss_rec_all: 0.0807 (0.0814) loss_rec_sfr: 0.1477 (0.1212) loss_cl: -0.3670 (-0.3671) time: 0.8610 data: 0.0002 max mem: 29859 [18:15:06.137696] Epoch: [72] [700/850] eta: 0:02:09 lr: 0.002389 loss: 0.0432 (0.0455) loss_rec_all: 0.0793 (0.0813) loss_rec_sfr: 0.1353 (0.1214) loss_cl: -0.3683 (-0.3671) time: 0.8589 data: 0.0002 max mem: 29859 [18:15:23.365411] Epoch: [72] [720/850] eta: 0:01:52 lr: 0.002389 loss: 0.0447 (0.0455) loss_rec_all: 0.0805 (0.0814) loss_rec_sfr: 0.1289 (0.1217) loss_cl: -0.3681 (-0.3671) time: 0.8613 data: 0.0002 max mem: 29859 [18:15:40.548381] Epoch: [72] [740/850] eta: 0:01:35 lr: 0.002389 loss: 0.0443 (0.0455) loss_rec_all: 0.0800 (0.0814) loss_rec_sfr: 0.1261 (0.1218) loss_cl: -0.3680 (-0.3671) time: 0.8591 data: 0.0002 max mem: 29859 [18:15:57.790896] Epoch: [72] [760/850] eta: 0:01:17 lr: 0.002389 loss: 0.0457 (0.0455) loss_rec_all: 0.0813 (0.0814) loss_rec_sfr: 0.0987 (0.1218) loss_cl: -0.3671 (-0.3671) time: 0.8621 data: 0.0003 max mem: 29859 [18:16:14.996174] Epoch: [72] [780/850] eta: 0:01:00 lr: 0.002389 loss: 0.0422 (0.0455) loss_rec_all: 0.0782 (0.0813) loss_rec_sfr: 0.0978 (0.1216) loss_cl: -0.3668 (-0.3671) time: 0.8602 data: 0.0002 max mem: 29859 [18:16:32.267965] Epoch: [72] [800/850] eta: 0:00:43 lr: 0.002389 loss: 0.0442 (0.0455) loss_rec_all: 0.0803 (0.0813) loss_rec_sfr: 0.0923 (0.1213) loss_cl: -0.3666 (-0.3671) time: 0.8635 data: 0.0002 max mem: 29859 [18:16:49.491790] Epoch: [72] [820/850] eta: 0:00:25 lr: 0.002389 loss: 0.0467 (0.0455) loss_rec_all: 0.0826 (0.0814) loss_rec_sfr: 0.1170 (0.1213) loss_cl: -0.3666 (-0.3671) time: 0.8611 data: 0.0002 max mem: 29859 [18:17:06.761982] Epoch: [72] [840/850] eta: 0:00:08 lr: 0.002389 loss: 0.0459 (0.0456) loss_rec_all: 0.0814 (0.0814) loss_rec_sfr: 0.1413 (0.1217) loss_cl: -0.3667 (-0.3671) time: 0.8635 data: 0.0012 max mem: 29859 [18:17:14.526809] Epoch: [72] [849/850] eta: 0:00:00 lr: 0.002389 loss: 0.0449 (0.0456) loss_rec_all: 0.0804 (0.0814) loss_rec_sfr: 0.1273 (0.1218) loss_cl: -0.3663 (-0.3671) time: 0.8642 data: 0.0012 max mem: 29859 [18:17:14.688143] Epoch: [72] Total time: 0:12:15 (0.8656 s / it) [18:17:14.690777] Averaged stats: lr: 0.002389 loss: 0.0449 (0.0455) loss_rec_all: 0.0804 (0.0813) loss_rec_sfr: 0.1273 (0.1208) loss_cl: -0.3663 (-0.3671) [18:17:14.702440] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [18:17:19.989456] Epoch: [73] [ 0/850] eta: 1:14:53 lr: 0.002389 loss: 0.0464 (0.0464) loss_rec_all: 0.0818 (0.0818) loss_rec_sfr: 0.1734 (0.1734) loss_cl: -0.3659 (-0.3659) time: 5.2861 data: 4.4335 max mem: 29859 [18:17:37.146267] Epoch: [73] [ 20/850] eta: 0:14:46 lr: 0.002389 loss: 0.0421 (0.0438) loss_rec_all: 0.0781 (0.0797) loss_rec_sfr: 0.0864 (0.1106) loss_cl: -0.3665 (-0.3664) time: 0.8578 data: 0.0002 max mem: 29859 [18:17:54.381489] Epoch: [73] [ 40/850] eta: 0:13:03 lr: 0.002389 loss: 0.0437 (0.0441) loss_rec_all: 0.0798 (0.0799) loss_rec_sfr: 0.1214 (0.1154) loss_cl: -0.3668 (-0.3665) time: 0.8617 data: 0.0002 max mem: 29859 [18:18:11.569724] Epoch: [73] [ 60/850] eta: 0:12:16 lr: 0.002389 loss: 0.0417 (0.0435) loss_rec_all: 0.0779 (0.0794) loss_rec_sfr: 0.0971 (0.1162) loss_cl: -0.3675 (-0.3669) time: 0.8594 data: 0.0002 max mem: 29859 [18:18:28.811211] Epoch: [73] [ 80/850] eta: 0:11:44 lr: 0.002389 loss: 0.0435 (0.0437) loss_rec_all: 0.0793 (0.0796) loss_rec_sfr: 0.1253 (0.1177) loss_cl: -0.3681 (-0.3671) time: 0.8620 data: 0.0002 max mem: 29859 [18:18:46.039354] Epoch: [73] [100/850] eta: 0:11:18 lr: 0.002389 loss: 0.0416 (0.0434) loss_rec_all: 0.0779 (0.0793) loss_rec_sfr: 0.1022 (0.1174) loss_cl: -0.3682 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [18:19:03.287157] Epoch: [73] [120/850] eta: 0:10:55 lr: 0.002389 loss: 0.0447 (0.0437) loss_rec_all: 0.0807 (0.0796) loss_rec_sfr: 0.0920 (0.1157) loss_cl: -0.3672 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [18:19:20.507939] Epoch: [73] [140/850] eta: 0:10:33 lr: 0.002389 loss: 0.0447 (0.0440) loss_rec_all: 0.0808 (0.0799) loss_rec_sfr: 0.1277 (0.1169) loss_cl: -0.3671 (-0.3673) time: 0.8610 data: 0.0002 max mem: 29859 [18:19:37.748105] Epoch: [73] [160/850] eta: 0:10:13 lr: 0.002389 loss: 0.0453 (0.0443) loss_rec_all: 0.0808 (0.0802) loss_rec_sfr: 0.1187 (0.1170) loss_cl: -0.3659 (-0.3671) time: 0.8620 data: 0.0001 max mem: 29859 [18:19:54.962514] Epoch: [73] [180/850] eta: 0:09:53 lr: 0.002389 loss: 0.0433 (0.0443) loss_rec_all: 0.0789 (0.0802) loss_rec_sfr: 0.1131 (0.1168) loss_cl: -0.3661 (-0.3670) time: 0.8607 data: 0.0002 max mem: 29859 [18:20:12.205209] Epoch: [73] [200/850] eta: 0:09:33 lr: 0.002389 loss: 0.0480 (0.0449) loss_rec_all: 0.0839 (0.0807) loss_rec_sfr: 0.1341 (0.1184) loss_cl: -0.3667 (-0.3670) time: 0.8621 data: 0.0002 max mem: 29859 [18:20:29.408401] Epoch: [73] [220/850] eta: 0:09:15 lr: 0.002389 loss: 0.0469 (0.0452) loss_rec_all: 0.0830 (0.0810) loss_rec_sfr: 0.1287 (0.1192) loss_cl: -0.3673 (-0.3670) time: 0.8601 data: 0.0002 max mem: 29859 [18:20:46.660961] Epoch: [73] [240/850] eta: 0:08:56 lr: 0.002389 loss: 0.0472 (0.0454) loss_rec_all: 0.0828 (0.0813) loss_rec_sfr: 0.1585 (0.1214) loss_cl: -0.3679 (-0.3671) time: 0.8626 data: 0.0002 max mem: 29859 [18:21:03.853152] Epoch: [73] [260/850] eta: 0:08:37 lr: 0.002389 loss: 0.0460 (0.0455) loss_rec_all: 0.0820 (0.0814) loss_rec_sfr: 0.1173 (0.1214) loss_cl: -0.3678 (-0.3671) time: 0.8596 data: 0.0002 max mem: 29859 [18:21:21.112115] Epoch: [73] [280/850] eta: 0:08:19 lr: 0.002389 loss: 0.0449 (0.0455) loss_rec_all: 0.0807 (0.0813) loss_rec_sfr: 0.1116 (0.1215) loss_cl: -0.3676 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [18:21:38.322826] Epoch: [73] [300/850] eta: 0:08:01 lr: 0.002389 loss: 0.0442 (0.0455) loss_rec_all: 0.0803 (0.0814) loss_rec_sfr: 0.1028 (0.1211) loss_cl: -0.3672 (-0.3671) time: 0.8605 data: 0.0002 max mem: 29859 [18:21:55.602232] Epoch: [73] [320/850] eta: 0:07:43 lr: 0.002389 loss: 0.0421 (0.0454) loss_rec_all: 0.0781 (0.0813) loss_rec_sfr: 0.1032 (0.1208) loss_cl: -0.3669 (-0.3671) time: 0.8639 data: 0.0002 max mem: 29859 [18:22:12.809827] Epoch: [73] [340/850] eta: 0:07:25 lr: 0.002389 loss: 0.0427 (0.0454) loss_rec_all: 0.0786 (0.0813) loss_rec_sfr: 0.1079 (0.1202) loss_cl: -0.3668 (-0.3671) time: 0.8603 data: 0.0002 max mem: 29859 [18:22:30.051262] Epoch: [73] [360/850] eta: 0:07:08 lr: 0.002389 loss: 0.0429 (0.0453) loss_rec_all: 0.0787 (0.0812) loss_rec_sfr: 0.0970 (0.1196) loss_cl: -0.3666 (-0.3671) time: 0.8620 data: 0.0002 max mem: 29859 [18:22:47.260681] Epoch: [73] [380/850] eta: 0:06:50 lr: 0.002389 loss: 0.0428 (0.0452) loss_rec_all: 0.0788 (0.0811) loss_rec_sfr: 0.0995 (0.1195) loss_cl: -0.3669 (-0.3671) time: 0.8604 data: 0.0002 max mem: 29859 [18:23:04.522634] Epoch: [73] [400/850] eta: 0:06:32 lr: 0.002389 loss: 0.0423 (0.0451) loss_rec_all: 0.0784 (0.0810) loss_rec_sfr: 0.1003 (0.1190) loss_cl: -0.3674 (-0.3671) time: 0.8630 data: 0.0002 max mem: 29859 [18:23:21.732811] Epoch: [73] [420/850] eta: 0:06:14 lr: 0.002389 loss: 0.0420 (0.0451) loss_rec_all: 0.0779 (0.0809) loss_rec_sfr: 0.1240 (0.1189) loss_cl: -0.3679 (-0.3671) time: 0.8605 data: 0.0002 max mem: 29859 [18:23:38.974577] Epoch: [73] [440/850] eta: 0:05:57 lr: 0.002389 loss: 0.0415 (0.0450) loss_rec_all: 0.0776 (0.0809) loss_rec_sfr: 0.0968 (0.1182) loss_cl: -0.3680 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [18:23:56.181681] Epoch: [73] [460/850] eta: 0:05:39 lr: 0.002388 loss: 0.0422 (0.0449) loss_rec_all: 0.0777 (0.0808) loss_rec_sfr: 0.0980 (0.1179) loss_cl: -0.3672 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [18:24:13.432456] Epoch: [73] [480/850] eta: 0:05:22 lr: 0.002388 loss: 0.0423 (0.0449) loss_rec_all: 0.0784 (0.0808) loss_rec_sfr: 0.0983 (0.1178) loss_cl: -0.3672 (-0.3671) time: 0.8625 data: 0.0002 max mem: 29859 [18:24:30.660953] Epoch: [73] [500/850] eta: 0:05:04 lr: 0.002388 loss: 0.0432 (0.0449) loss_rec_all: 0.0792 (0.0807) loss_rec_sfr: 0.1262 (0.1182) loss_cl: -0.3677 (-0.3672) time: 0.8614 data: 0.0002 max mem: 29859 [18:24:47.917255] Epoch: [73] [520/850] eta: 0:04:47 lr: 0.002388 loss: 0.0453 (0.0449) loss_rec_all: 0.0812 (0.0808) loss_rec_sfr: 0.1018 (0.1181) loss_cl: -0.3672 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [18:25:05.124670] Epoch: [73] [540/850] eta: 0:04:29 lr: 0.002388 loss: 0.0449 (0.0450) loss_rec_all: 0.0806 (0.0809) loss_rec_sfr: 0.1335 (0.1186) loss_cl: -0.3663 (-0.3671) time: 0.8603 data: 0.0002 max mem: 29859 [18:25:22.373908] Epoch: [73] [560/850] eta: 0:04:12 lr: 0.002388 loss: 0.0460 (0.0451) loss_rec_all: 0.0818 (0.0810) loss_rec_sfr: 0.1069 (0.1186) loss_cl: -0.3667 (-0.3671) time: 0.8624 data: 0.0002 max mem: 29859 [18:25:39.577139] Epoch: [73] [580/850] eta: 0:03:54 lr: 0.002388 loss: 0.0437 (0.0451) loss_rec_all: 0.0798 (0.0810) loss_rec_sfr: 0.0940 (0.1182) loss_cl: -0.3669 (-0.3671) time: 0.8601 data: 0.0002 max mem: 29859 [18:25:56.811731] Epoch: [73] [600/850] eta: 0:03:37 lr: 0.002388 loss: 0.0439 (0.0451) loss_rec_all: 0.0800 (0.0810) loss_rec_sfr: 0.0906 (0.1180) loss_cl: -0.3672 (-0.3671) time: 0.8617 data: 0.0002 max mem: 29859 [18:26:14.033210] Epoch: [73] [620/850] eta: 0:03:19 lr: 0.002388 loss: 0.0447 (0.0451) loss_rec_all: 0.0808 (0.0810) loss_rec_sfr: 0.0981 (0.1178) loss_cl: -0.3670 (-0.3671) time: 0.8610 data: 0.0002 max mem: 29859 [18:26:31.395479] Epoch: [73] [640/850] eta: 0:03:02 lr: 0.002388 loss: 0.0451 (0.0451) loss_rec_all: 0.0811 (0.0810) loss_rec_sfr: 0.0989 (0.1177) loss_cl: -0.3667 (-0.3671) time: 0.8680 data: 0.0003 max mem: 29859 [18:26:48.880222] Epoch: [73] [660/850] eta: 0:02:45 lr: 0.002388 loss: 0.0427 (0.0451) loss_rec_all: 0.0788 (0.0810) loss_rec_sfr: 0.0850 (0.1171) loss_cl: -0.3668 (-0.3671) time: 0.8742 data: 0.0004 max mem: 29859 [18:27:06.172841] Epoch: [73] [680/850] eta: 0:02:27 lr: 0.002388 loss: 0.0422 (0.0451) loss_rec_all: 0.0781 (0.0810) loss_rec_sfr: 0.0858 (0.1167) loss_cl: -0.3672 (-0.3671) time: 0.8646 data: 0.0002 max mem: 29859 [18:27:23.430230] Epoch: [73] [700/850] eta: 0:02:10 lr: 0.002388 loss: 0.0415 (0.0450) loss_rec_all: 0.0773 (0.0809) loss_rec_sfr: 0.0961 (0.1167) loss_cl: -0.3675 (-0.3671) time: 0.8628 data: 0.0002 max mem: 29859 [18:27:40.693323] Epoch: [73] [720/850] eta: 0:01:52 lr: 0.002388 loss: 0.0410 (0.0450) loss_rec_all: 0.0773 (0.0809) loss_rec_sfr: 0.1197 (0.1167) loss_cl: -0.3678 (-0.3671) time: 0.8631 data: 0.0002 max mem: 29859 [18:27:57.933270] Epoch: [73] [740/850] eta: 0:01:35 lr: 0.002388 loss: 0.0417 (0.0449) loss_rec_all: 0.0778 (0.0808) loss_rec_sfr: 0.0908 (0.1164) loss_cl: -0.3673 (-0.3671) time: 0.8619 data: 0.0002 max mem: 29859 [18:28:15.169798] Epoch: [73] [760/850] eta: 0:01:18 lr: 0.002388 loss: 0.0453 (0.0450) loss_rec_all: 0.0814 (0.0809) loss_rec_sfr: 0.1162 (0.1164) loss_cl: -0.3674 (-0.3671) time: 0.8618 data: 0.0002 max mem: 29859 [18:28:32.374712] Epoch: [73] [780/850] eta: 0:01:00 lr: 0.002388 loss: 0.0437 (0.0450) loss_rec_all: 0.0798 (0.0809) loss_rec_sfr: 0.0869 (0.1159) loss_cl: -0.3670 (-0.3671) time: 0.8602 data: 0.0002 max mem: 29859 [18:28:49.624138] Epoch: [73] [800/850] eta: 0:00:43 lr: 0.002388 loss: 0.0432 (0.0450) loss_rec_all: 0.0791 (0.0809) loss_rec_sfr: 0.1002 (0.1160) loss_cl: -0.3675 (-0.3671) time: 0.8624 data: 0.0002 max mem: 29859 [18:29:06.853090] Epoch: [73] [820/850] eta: 0:00:26 lr: 0.002388 loss: 0.0422 (0.0449) loss_rec_all: 0.0785 (0.0808) loss_rec_sfr: 0.1034 (0.1158) loss_cl: -0.3674 (-0.3671) time: 0.8614 data: 0.0002 max mem: 29859 [18:29:24.148857] Epoch: [73] [840/850] eta: 0:00:08 lr: 0.002388 loss: 0.0415 (0.0449) loss_rec_all: 0.0776 (0.0808) loss_rec_sfr: 0.0802 (0.1154) loss_cl: -0.3674 (-0.3671) time: 0.8647 data: 0.0005 max mem: 29859 [18:29:31.894124] Epoch: [73] [849/850] eta: 0:00:00 lr: 0.002388 loss: 0.0416 (0.0449) loss_rec_all: 0.0778 (0.0808) loss_rec_sfr: 0.0925 (0.1155) loss_cl: -0.3674 (-0.3671) time: 0.8641 data: 0.0005 max mem: 29859 [18:29:32.045758] Epoch: [73] Total time: 0:12:17 (0.8675 s / it) [18:29:32.087617] Averaged stats: lr: 0.002388 loss: 0.0416 (0.0449) loss_rec_all: 0.0778 (0.0808) loss_rec_sfr: 0.0925 (0.1164) loss_cl: -0.3674 (-0.3671) [18:29:32.092821] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [18:29:38.112609] Epoch: [74] [ 0/850] eta: 1:25:15 lr: 0.002388 loss: 0.0388 (0.0388) loss_rec_all: 0.0750 (0.0750) loss_rec_sfr: 0.0748 (0.0748) loss_cl: -0.3670 (-0.3670) time: 6.0181 data: 5.1595 max mem: 29859 [18:29:55.278150] Epoch: [74] [ 20/850] eta: 0:15:16 lr: 0.002388 loss: 0.0401 (0.0421) loss_rec_all: 0.0762 (0.0780) loss_rec_sfr: 0.0843 (0.1036) loss_cl: -0.3670 (-0.3668) time: 0.8582 data: 0.0002 max mem: 29859 [18:30:12.482339] Epoch: [74] [ 40/850] eta: 0:13:17 lr: 0.002388 loss: 0.0458 (0.0444) loss_rec_all: 0.0818 (0.0803) loss_rec_sfr: 0.1294 (0.1156) loss_cl: -0.3670 (-0.3667) time: 0.8602 data: 0.0002 max mem: 29859 [18:30:29.695741] Epoch: [74] [ 60/850] eta: 0:12:25 lr: 0.002388 loss: 0.0431 (0.0442) loss_rec_all: 0.0792 (0.0801) loss_rec_sfr: 0.0841 (0.1125) loss_cl: -0.3673 (-0.3669) time: 0.8606 data: 0.0002 max mem: 29859 [18:30:46.954678] Epoch: [74] [ 80/850] eta: 0:11:51 lr: 0.002388 loss: 0.0418 (0.0441) loss_rec_all: 0.0780 (0.0800) loss_rec_sfr: 0.0834 (0.1108) loss_cl: -0.3668 (-0.3669) time: 0.8629 data: 0.0002 max mem: 29859 [18:31:04.168427] Epoch: [74] [100/850] eta: 0:11:23 lr: 0.002388 loss: 0.0422 (0.0438) loss_rec_all: 0.0779 (0.0797) loss_rec_sfr: 0.0858 (0.1097) loss_cl: -0.3674 (-0.3670) time: 0.8606 data: 0.0002 max mem: 29859 [18:31:21.448271] Epoch: [74] [120/850] eta: 0:10:59 lr: 0.002388 loss: 0.0421 (0.0437) loss_rec_all: 0.0776 (0.0797) loss_rec_sfr: 0.1078 (0.1108) loss_cl: -0.3671 (-0.3670) time: 0.8639 data: 0.0002 max mem: 29859 [18:31:38.681546] Epoch: [74] [140/850] eta: 0:10:37 lr: 0.002388 loss: 0.0405 (0.0435) loss_rec_all: 0.0766 (0.0795) loss_rec_sfr: 0.0834 (0.1099) loss_cl: -0.3671 (-0.3671) time: 0.8616 data: 0.0002 max mem: 29859 [18:31:55.949386] Epoch: [74] [160/850] eta: 0:10:16 lr: 0.002388 loss: 0.0427 (0.0435) loss_rec_all: 0.0787 (0.0795) loss_rec_sfr: 0.0980 (0.1104) loss_cl: -0.3669 (-0.3670) time: 0.8633 data: 0.0002 max mem: 29859 [18:32:13.177557] Epoch: [74] [180/850] eta: 0:09:56 lr: 0.002388 loss: 0.0427 (0.0436) loss_rec_all: 0.0788 (0.0795) loss_rec_sfr: 0.1193 (0.1120) loss_cl: -0.3670 (-0.3670) time: 0.8614 data: 0.0002 max mem: 29859 [18:32:30.462014] Epoch: [74] [200/850] eta: 0:09:36 lr: 0.002388 loss: 0.0416 (0.0434) loss_rec_all: 0.0776 (0.0793) loss_rec_sfr: 0.0817 (0.1114) loss_cl: -0.3664 (-0.3670) time: 0.8642 data: 0.0002 max mem: 29859 [18:32:47.683402] Epoch: [74] [220/850] eta: 0:09:17 lr: 0.002388 loss: 0.0414 (0.0432) loss_rec_all: 0.0776 (0.0791) loss_rec_sfr: 0.1368 (0.1125) loss_cl: -0.3671 (-0.3670) time: 0.8610 data: 0.0002 max mem: 29859 [18:33:04.942400] Epoch: [74] [240/850] eta: 0:08:58 lr: 0.002388 loss: 0.0403 (0.0431) loss_rec_all: 0.0763 (0.0790) loss_rec_sfr: 0.0899 (0.1122) loss_cl: -0.3677 (-0.3670) time: 0.8629 data: 0.0002 max mem: 29859 [18:33:22.181304] Epoch: [74] [260/850] eta: 0:08:40 lr: 0.002388 loss: 0.0408 (0.0432) loss_rec_all: 0.0771 (0.0791) loss_rec_sfr: 0.1214 (0.1124) loss_cl: -0.3673 (-0.3671) time: 0.8619 data: 0.0002 max mem: 29859 [18:33:39.442171] Epoch: [74] [280/850] eta: 0:08:21 lr: 0.002388 loss: 0.0462 (0.0434) loss_rec_all: 0.0822 (0.0793) loss_rec_sfr: 0.1251 (0.1133) loss_cl: -0.3673 (-0.3671) time: 0.8630 data: 0.0002 max mem: 29859 [18:33:56.676318] Epoch: [74] [300/850] eta: 0:08:03 lr: 0.002388 loss: 0.0464 (0.0437) loss_rec_all: 0.0820 (0.0796) loss_rec_sfr: 0.1253 (0.1143) loss_cl: -0.3673 (-0.3671) time: 0.8616 data: 0.0002 max mem: 29859 [18:34:13.973157] Epoch: [74] [320/850] eta: 0:07:45 lr: 0.002388 loss: 0.0469 (0.0439) loss_rec_all: 0.0827 (0.0798) loss_rec_sfr: 0.1011 (0.1147) loss_cl: -0.3669 (-0.3671) time: 0.8648 data: 0.0002 max mem: 29859 [18:34:31.205267] Epoch: [74] [340/850] eta: 0:07:27 lr: 0.002388 loss: 0.0455 (0.0440) loss_rec_all: 0.0815 (0.0799) loss_rec_sfr: 0.1000 (0.1146) loss_cl: -0.3665 (-0.3670) time: 0.8616 data: 0.0002 max mem: 29859 [18:34:48.459958] Epoch: [74] [360/850] eta: 0:07:09 lr: 0.002388 loss: 0.0440 (0.0441) loss_rec_all: 0.0801 (0.0800) loss_rec_sfr: 0.1000 (0.1141) loss_cl: -0.3667 (-0.3670) time: 0.8627 data: 0.0002 max mem: 29859 [18:35:05.685469] Epoch: [74] [380/850] eta: 0:06:51 lr: 0.002388 loss: 0.0419 (0.0440) loss_rec_all: 0.0779 (0.0799) loss_rec_sfr: 0.0897 (0.1138) loss_cl: -0.3674 (-0.3670) time: 0.8612 data: 0.0002 max mem: 29859 [18:35:22.937945] Epoch: [74] [400/850] eta: 0:06:33 lr: 0.002388 loss: 0.0422 (0.0440) loss_rec_all: 0.0780 (0.0799) loss_rec_sfr: 0.1002 (0.1139) loss_cl: -0.3675 (-0.3670) time: 0.8626 data: 0.0002 max mem: 29859 [18:35:40.181264] Epoch: [74] [420/850] eta: 0:06:15 lr: 0.002388 loss: 0.0441 (0.0440) loss_rec_all: 0.0798 (0.0799) loss_rec_sfr: 0.1217 (0.1142) loss_cl: -0.3670 (-0.3670) time: 0.8621 data: 0.0002 max mem: 29859 [18:35:57.414984] Epoch: [74] [440/850] eta: 0:05:58 lr: 0.002388 loss: 0.0423 (0.0440) loss_rec_all: 0.0782 (0.0799) loss_rec_sfr: 0.0986 (0.1141) loss_cl: -0.3673 (-0.3671) time: 0.8616 data: 0.0002 max mem: 29859 [18:36:14.612943] Epoch: [74] [460/850] eta: 0:05:40 lr: 0.002388 loss: 0.0429 (0.0440) loss_rec_all: 0.0785 (0.0799) loss_rec_sfr: 0.1007 (0.1141) loss_cl: -0.3669 (-0.3670) time: 0.8599 data: 0.0002 max mem: 29859 [18:36:31.899025] Epoch: [74] [480/850] eta: 0:05:22 lr: 0.002388 loss: 0.0401 (0.0439) loss_rec_all: 0.0759 (0.0798) loss_rec_sfr: 0.0870 (0.1138) loss_cl: -0.3671 (-0.3670) time: 0.8642 data: 0.0002 max mem: 29859 [18:36:49.108120] Epoch: [74] [500/850] eta: 0:05:05 lr: 0.002388 loss: 0.0418 (0.0439) loss_rec_all: 0.0779 (0.0798) loss_rec_sfr: 0.0933 (0.1136) loss_cl: -0.3671 (-0.3670) time: 0.8604 data: 0.0002 max mem: 29859 [18:37:06.362239] Epoch: [74] [520/850] eta: 0:04:47 lr: 0.002388 loss: 0.0408 (0.0438) loss_rec_all: 0.0768 (0.0797) loss_rec_sfr: 0.1171 (0.1138) loss_cl: -0.3669 (-0.3670) time: 0.8627 data: 0.0002 max mem: 29859 [18:37:23.618643] Epoch: [74] [540/850] eta: 0:04:30 lr: 0.002388 loss: 0.0441 (0.0438) loss_rec_all: 0.0804 (0.0797) loss_rec_sfr: 0.0878 (0.1135) loss_cl: -0.3677 (-0.3671) time: 0.8628 data: 0.0003 max mem: 29859 [18:37:40.890976] Epoch: [74] [560/850] eta: 0:04:12 lr: 0.002388 loss: 0.0441 (0.0439) loss_rec_all: 0.0799 (0.0798) loss_rec_sfr: 0.1246 (0.1138) loss_cl: -0.3680 (-0.3671) time: 0.8636 data: 0.0002 max mem: 29859 [18:37:58.106132] Epoch: [74] [580/850] eta: 0:03:55 lr: 0.002388 loss: 0.0421 (0.0438) loss_rec_all: 0.0785 (0.0797) loss_rec_sfr: 0.0859 (0.1135) loss_cl: -0.3676 (-0.3671) time: 0.8607 data: 0.0003 max mem: 29859 [18:38:15.371485] Epoch: [74] [600/850] eta: 0:03:37 lr: 0.002388 loss: 0.0417 (0.0438) loss_rec_all: 0.0777 (0.0797) loss_rec_sfr: 0.0876 (0.1132) loss_cl: -0.3662 (-0.3671) time: 0.8632 data: 0.0002 max mem: 29859 [18:38:32.626663] Epoch: [74] [620/850] eta: 0:03:20 lr: 0.002388 loss: 0.0413 (0.0437) loss_rec_all: 0.0772 (0.0797) loss_rec_sfr: 0.0975 (0.1129) loss_cl: -0.3658 (-0.3670) time: 0.8627 data: 0.0003 max mem: 29859 [18:38:49.878298] Epoch: [74] [640/850] eta: 0:03:02 lr: 0.002388 loss: 0.0417 (0.0438) loss_rec_all: 0.0778 (0.0797) loss_rec_sfr: 0.0970 (0.1131) loss_cl: -0.3664 (-0.3670) time: 0.8625 data: 0.0002 max mem: 29859 [18:39:07.121744] Epoch: [74] [660/850] eta: 0:02:45 lr: 0.002388 loss: 0.0466 (0.0439) loss_rec_all: 0.0828 (0.0798) loss_rec_sfr: 0.0998 (0.1130) loss_cl: -0.3675 (-0.3670) time: 0.8621 data: 0.0002 max mem: 29859 [18:39:24.406188] Epoch: [74] [680/850] eta: 0:02:27 lr: 0.002388 loss: 0.0446 (0.0440) loss_rec_all: 0.0808 (0.0799) loss_rec_sfr: 0.1037 (0.1132) loss_cl: -0.3682 (-0.3671) time: 0.8642 data: 0.0002 max mem: 29859 [18:39:41.636950] Epoch: [74] [700/850] eta: 0:02:10 lr: 0.002388 loss: 0.0474 (0.0441) loss_rec_all: 0.0836 (0.0800) loss_rec_sfr: 0.0881 (0.1132) loss_cl: -0.3674 (-0.3671) time: 0.8615 data: 0.0002 max mem: 29859 [18:39:58.929290] Epoch: [74] [720/850] eta: 0:01:53 lr: 0.002388 loss: 0.0477 (0.0443) loss_rec_all: 0.0835 (0.0802) loss_rec_sfr: 0.1027 (0.1134) loss_cl: -0.3671 (-0.3671) time: 0.8646 data: 0.0002 max mem: 29859 [18:40:16.156989] Epoch: [74] [740/850] eta: 0:01:35 lr: 0.002388 loss: 0.0475 (0.0444) loss_rec_all: 0.0836 (0.0803) loss_rec_sfr: 0.1081 (0.1137) loss_cl: -0.3668 (-0.3670) time: 0.8613 data: 0.0002 max mem: 29859 [18:40:33.431447] Epoch: [74] [760/850] eta: 0:01:18 lr: 0.002388 loss: 0.0483 (0.0446) loss_rec_all: 0.0842 (0.0805) loss_rec_sfr: 0.1331 (0.1141) loss_cl: -0.3663 (-0.3670) time: 0.8637 data: 0.0002 max mem: 29859 [18:40:50.681500] Epoch: [74] [780/850] eta: 0:01:00 lr: 0.002388 loss: 0.0454 (0.0446) loss_rec_all: 0.0815 (0.0805) loss_rec_sfr: 0.1040 (0.1143) loss_cl: -0.3672 (-0.3670) time: 0.8624 data: 0.0002 max mem: 29859 [18:41:07.962576] Epoch: [74] [800/850] eta: 0:00:43 lr: 0.002388 loss: 0.0434 (0.0446) loss_rec_all: 0.0791 (0.0805) loss_rec_sfr: 0.0957 (0.1144) loss_cl: -0.3679 (-0.3670) time: 0.8640 data: 0.0002 max mem: 29859 [18:41:25.192502] Epoch: [74] [820/850] eta: 0:00:26 lr: 0.002387 loss: 0.0442 (0.0446) loss_rec_all: 0.0803 (0.0805) loss_rec_sfr: 0.1334 (0.1147) loss_cl: -0.3676 (-0.3671) time: 0.8614 data: 0.0002 max mem: 29859 [18:41:42.455675] Epoch: [74] [840/850] eta: 0:00:08 lr: 0.002387 loss: 0.0430 (0.0446) loss_rec_all: 0.0789 (0.0805) loss_rec_sfr: 0.1237 (0.1148) loss_cl: -0.3667 (-0.3670) time: 0.8631 data: 0.0005 max mem: 29859 [18:41:50.208076] Epoch: [74] [849/850] eta: 0:00:00 lr: 0.002387 loss: 0.0426 (0.0446) loss_rec_all: 0.0783 (0.0805) loss_rec_sfr: 0.0952 (0.1147) loss_cl: -0.3673 (-0.3671) time: 0.8630 data: 0.0004 max mem: 29859 [18:41:50.360771] Epoch: [74] Total time: 0:12:18 (0.8686 s / it) [18:41:50.362961] Averaged stats: lr: 0.002387 loss: 0.0426 (0.0448) loss_rec_all: 0.0783 (0.0807) loss_rec_sfr: 0.0952 (0.1163) loss_cl: -0.3673 (-0.3671) [18:41:50.370738] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [18:41:56.385171] Epoch: [75] [ 0/850] eta: 1:25:11 lr: 0.002387 loss: 0.0411 (0.0411) loss_rec_all: 0.0772 (0.0772) loss_rec_sfr: 0.0940 (0.0940) loss_cl: -0.3677 (-0.3677) time: 6.0136 data: 5.1604 max mem: 29859 [18:42:13.551632] Epoch: [75] [ 20/850] eta: 0:15:16 lr: 0.002387 loss: 0.0410 (0.0428) loss_rec_all: 0.0772 (0.0787) loss_rec_sfr: 0.1161 (0.1126) loss_cl: -0.3674 (-0.3672) time: 0.8583 data: 0.0002 max mem: 29859 [18:42:30.778560] Epoch: [75] [ 40/850] eta: 0:13:18 lr: 0.002387 loss: 0.0429 (0.0431) loss_rec_all: 0.0784 (0.0790) loss_rec_sfr: 0.1322 (0.1204) loss_cl: -0.3667 (-0.3669) time: 0.8613 data: 0.0002 max mem: 29859 [18:42:47.986877] Epoch: [75] [ 60/850] eta: 0:12:26 lr: 0.002387 loss: 0.0429 (0.0436) loss_rec_all: 0.0789 (0.0794) loss_rec_sfr: 0.0965 (0.1175) loss_cl: -0.3667 (-0.3668) time: 0.8604 data: 0.0002 max mem: 29859 [18:43:05.230792] Epoch: [75] [ 80/850] eta: 0:11:51 lr: 0.002387 loss: 0.0413 (0.0433) loss_rec_all: 0.0767 (0.0792) loss_rec_sfr: 0.0963 (0.1177) loss_cl: -0.3676 (-0.3670) time: 0.8622 data: 0.0002 max mem: 29859 [18:43:22.426705] Epoch: [75] [100/850] eta: 0:11:23 lr: 0.002387 loss: 0.0395 (0.0427) loss_rec_all: 0.0757 (0.0787) loss_rec_sfr: 0.0816 (0.1136) loss_cl: -0.3681 (-0.3672) time: 0.8597 data: 0.0002 max mem: 29859 [18:43:39.690525] Epoch: [75] [120/850] eta: 0:10:59 lr: 0.002387 loss: 0.0424 (0.0430) loss_rec_all: 0.0780 (0.0789) loss_rec_sfr: 0.1197 (0.1143) loss_cl: -0.3676 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [18:43:56.904821] Epoch: [75] [140/850] eta: 0:10:37 lr: 0.002387 loss: 0.0443 (0.0434) loss_rec_all: 0.0799 (0.0793) loss_rec_sfr: 0.1234 (0.1157) loss_cl: -0.3673 (-0.3673) time: 0.8607 data: 0.0002 max mem: 29859 [18:44:14.172624] Epoch: [75] [160/850] eta: 0:10:16 lr: 0.002387 loss: 0.0465 (0.0439) loss_rec_all: 0.0820 (0.0798) loss_rec_sfr: 0.1310 (0.1168) loss_cl: -0.3667 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [18:44:31.405290] Epoch: [75] [180/850] eta: 0:09:56 lr: 0.002387 loss: 0.0430 (0.0440) loss_rec_all: 0.0791 (0.0799) loss_rec_sfr: 0.1336 (0.1170) loss_cl: -0.3668 (-0.3671) time: 0.8616 data: 0.0002 max mem: 29859 [18:44:48.694752] Epoch: [75] [200/850] eta: 0:09:36 lr: 0.002387 loss: 0.0428 (0.0440) loss_rec_all: 0.0789 (0.0799) loss_rec_sfr: 0.0924 (0.1168) loss_cl: -0.3668 (-0.3671) time: 0.8644 data: 0.0002 max mem: 29859 [18:45:05.922612] Epoch: [75] [220/850] eta: 0:09:17 lr: 0.002387 loss: 0.0429 (0.0442) loss_rec_all: 0.0789 (0.0801) loss_rec_sfr: 0.1287 (0.1171) loss_cl: -0.3674 (-0.3671) time: 0.8613 data: 0.0002 max mem: 29859 [18:45:23.204117] Epoch: [75] [240/850] eta: 0:08:58 lr: 0.002387 loss: 0.0421 (0.0442) loss_rec_all: 0.0782 (0.0801) loss_rec_sfr: 0.0969 (0.1169) loss_cl: -0.3674 (-0.3671) time: 0.8640 data: 0.0002 max mem: 29859 [18:45:40.432474] Epoch: [75] [260/850] eta: 0:08:40 lr: 0.002387 loss: 0.0442 (0.0443) loss_rec_all: 0.0801 (0.0802) loss_rec_sfr: 0.1067 (0.1171) loss_cl: -0.3677 (-0.3672) time: 0.8614 data: 0.0002 max mem: 29859 [18:45:57.719512] Epoch: [75] [280/850] eta: 0:08:21 lr: 0.002387 loss: 0.0437 (0.0443) loss_rec_all: 0.0798 (0.0802) loss_rec_sfr: 0.0992 (0.1170) loss_cl: -0.3673 (-0.3672) time: 0.8643 data: 0.0002 max mem: 29859 [18:46:14.932990] Epoch: [75] [300/850] eta: 0:08:03 lr: 0.002387 loss: 0.0428 (0.0442) loss_rec_all: 0.0788 (0.0801) loss_rec_sfr: 0.0934 (0.1168) loss_cl: -0.3668 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [18:46:32.204240] Epoch: [75] [320/850] eta: 0:07:45 lr: 0.002387 loss: 0.0415 (0.0441) loss_rec_all: 0.0773 (0.0800) loss_rec_sfr: 0.0845 (0.1158) loss_cl: -0.3664 (-0.3671) time: 0.8635 data: 0.0002 max mem: 29859 [18:46:49.418748] Epoch: [75] [340/850] eta: 0:07:27 lr: 0.002387 loss: 0.0422 (0.0440) loss_rec_all: 0.0785 (0.0799) loss_rec_sfr: 0.0842 (0.1152) loss_cl: -0.3668 (-0.3671) time: 0.8607 data: 0.0002 max mem: 29859 [18:47:06.696114] Epoch: [75] [360/850] eta: 0:07:09 lr: 0.002387 loss: 0.0441 (0.0440) loss_rec_all: 0.0796 (0.0799) loss_rec_sfr: 0.1270 (0.1162) loss_cl: -0.3677 (-0.3671) time: 0.8638 data: 0.0002 max mem: 29859 [18:47:23.937547] Epoch: [75] [380/850] eta: 0:06:51 lr: 0.002387 loss: 0.0408 (0.0439) loss_rec_all: 0.0767 (0.0798) loss_rec_sfr: 0.0976 (0.1160) loss_cl: -0.3676 (-0.3671) time: 0.8620 data: 0.0003 max mem: 29859 [18:47:41.295789] Epoch: [75] [400/850] eta: 0:06:33 lr: 0.002387 loss: 0.0413 (0.0438) loss_rec_all: 0.0774 (0.0797) loss_rec_sfr: 0.0900 (0.1156) loss_cl: -0.3666 (-0.3671) time: 0.8678 data: 0.0004 max mem: 29859 [18:47:58.530903] Epoch: [75] [420/850] eta: 0:06:16 lr: 0.002387 loss: 0.0430 (0.0438) loss_rec_all: 0.0790 (0.0797) loss_rec_sfr: 0.1341 (0.1162) loss_cl: -0.3670 (-0.3671) time: 0.8617 data: 0.0002 max mem: 29859 [18:48:15.783622] Epoch: [75] [440/850] eta: 0:05:58 lr: 0.002387 loss: 0.0423 (0.0438) loss_rec_all: 0.0782 (0.0797) loss_rec_sfr: 0.1119 (0.1163) loss_cl: -0.3676 (-0.3671) time: 0.8626 data: 0.0002 max mem: 29859 [18:48:33.096162] Epoch: [75] [460/850] eta: 0:05:40 lr: 0.002387 loss: 0.0431 (0.0438) loss_rec_all: 0.0789 (0.0797) loss_rec_sfr: 0.1156 (0.1162) loss_cl: -0.3674 (-0.3671) time: 0.8656 data: 0.0002 max mem: 29859 [18:48:50.458614] Epoch: [75] [480/850] eta: 0:05:23 lr: 0.002387 loss: 0.0400 (0.0437) loss_rec_all: 0.0761 (0.0796) loss_rec_sfr: 0.0932 (0.1158) loss_cl: -0.3675 (-0.3671) time: 0.8681 data: 0.0002 max mem: 29859 [18:49:07.673428] Epoch: [75] [500/850] eta: 0:05:05 lr: 0.002387 loss: 0.0415 (0.0437) loss_rec_all: 0.0770 (0.0796) loss_rec_sfr: 0.1175 (0.1161) loss_cl: -0.3670 (-0.3671) time: 0.8607 data: 0.0002 max mem: 29859 [18:49:24.970988] Epoch: [75] [520/850] eta: 0:04:47 lr: 0.002387 loss: 0.0412 (0.0436) loss_rec_all: 0.0772 (0.0795) loss_rec_sfr: 0.0927 (0.1160) loss_cl: -0.3667 (-0.3671) time: 0.8648 data: 0.0003 max mem: 29859 [18:49:42.297486] Epoch: [75] [540/850] eta: 0:04:30 lr: 0.002387 loss: 0.0468 (0.0439) loss_rec_all: 0.0822 (0.0798) loss_rec_sfr: 0.1034 (0.1161) loss_cl: -0.3665 (-0.3671) time: 0.8663 data: 0.0003 max mem: 29859 [18:49:59.605290] Epoch: [75] [560/850] eta: 0:04:12 lr: 0.002387 loss: 0.0479 (0.0442) loss_rec_all: 0.0837 (0.0801) loss_rec_sfr: 0.0968 (0.1163) loss_cl: -0.3669 (-0.3671) time: 0.8653 data: 0.0002 max mem: 29859 [18:50:16.871672] Epoch: [75] [580/850] eta: 0:03:55 lr: 0.002387 loss: 0.0473 (0.0443) loss_rec_all: 0.0833 (0.0802) loss_rec_sfr: 0.1398 (0.1168) loss_cl: -0.3676 (-0.3671) time: 0.8632 data: 0.0002 max mem: 29859 [18:50:34.328667] Epoch: [75] [600/850] eta: 0:03:37 lr: 0.002387 loss: 0.0447 (0.0444) loss_rec_all: 0.0809 (0.0803) loss_rec_sfr: 0.1305 (0.1169) loss_cl: -0.3683 (-0.3671) time: 0.8728 data: 0.0004 max mem: 29859 [18:50:51.573913] Epoch: [75] [620/850] eta: 0:03:20 lr: 0.002387 loss: 0.0432 (0.0445) loss_rec_all: 0.0794 (0.0804) loss_rec_sfr: 0.1287 (0.1172) loss_cl: -0.3680 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [18:51:08.909826] Epoch: [75] [640/850] eta: 0:03:02 lr: 0.002387 loss: 0.0561 (0.0449) loss_rec_all: 0.0914 (0.0808) loss_rec_sfr: 0.1591 (0.1181) loss_cl: -0.3671 (-0.3672) time: 0.8667 data: 0.0003 max mem: 29859 [18:51:26.271894] Epoch: [75] [660/850] eta: 0:02:45 lr: 0.002387 loss: 0.0487 (0.0451) loss_rec_all: 0.0844 (0.0810) loss_rec_sfr: 0.1440 (0.1187) loss_cl: -0.3672 (-0.3672) time: 0.8680 data: 0.0003 max mem: 29859 [18:51:43.544589] Epoch: [75] [680/850] eta: 0:02:28 lr: 0.002387 loss: 0.0456 (0.0452) loss_rec_all: 0.0814 (0.0810) loss_rec_sfr: 0.1099 (0.1187) loss_cl: -0.3673 (-0.3672) time: 0.8636 data: 0.0002 max mem: 29859 [18:52:00.776140] Epoch: [75] [700/850] eta: 0:02:10 lr: 0.002387 loss: 0.0439 (0.0452) loss_rec_all: 0.0802 (0.0810) loss_rec_sfr: 0.0871 (0.1183) loss_cl: -0.3675 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [18:52:18.125947] Epoch: [75] [720/850] eta: 0:01:53 lr: 0.002387 loss: 0.0429 (0.0451) loss_rec_all: 0.0785 (0.0810) loss_rec_sfr: 0.0962 (0.1182) loss_cl: -0.3676 (-0.3672) time: 0.8674 data: 0.0003 max mem: 29859 [18:52:35.483082] Epoch: [75] [740/850] eta: 0:01:35 lr: 0.002387 loss: 0.0436 (0.0451) loss_rec_all: 0.0794 (0.0810) loss_rec_sfr: 0.0960 (0.1181) loss_cl: -0.3666 (-0.3672) time: 0.8678 data: 0.0003 max mem: 29859 [18:52:52.770513] Epoch: [75] [760/850] eta: 0:01:18 lr: 0.002387 loss: 0.0457 (0.0452) loss_rec_all: 0.0811 (0.0810) loss_rec_sfr: 0.1286 (0.1182) loss_cl: -0.3665 (-0.3672) time: 0.8643 data: 0.0002 max mem: 29859 [18:53:10.074112] Epoch: [75] [780/850] eta: 0:01:00 lr: 0.002387 loss: 0.0424 (0.0451) loss_rec_all: 0.0785 (0.0810) loss_rec_sfr: 0.0877 (0.1178) loss_cl: -0.3662 (-0.3671) time: 0.8651 data: 0.0003 max mem: 29859 [18:53:27.431500] Epoch: [75] [800/850] eta: 0:00:43 lr: 0.002387 loss: 0.0424 (0.0451) loss_rec_all: 0.0783 (0.0810) loss_rec_sfr: 0.1254 (0.1178) loss_cl: -0.3670 (-0.3671) time: 0.8678 data: 0.0003 max mem: 29859 [18:53:44.725009] Epoch: [75] [820/850] eta: 0:00:26 lr: 0.002387 loss: 0.0434 (0.0451) loss_rec_all: 0.0789 (0.0810) loss_rec_sfr: 0.1222 (0.1179) loss_cl: -0.3672 (-0.3671) time: 0.8646 data: 0.0003 max mem: 29859 [18:54:02.248835] Epoch: [75] [840/850] eta: 0:00:08 lr: 0.002387 loss: 0.0401 (0.0450) loss_rec_all: 0.0762 (0.0809) loss_rec_sfr: 0.0841 (0.1176) loss_cl: -0.3673 (-0.3671) time: 0.8760 data: 0.0007 max mem: 29859 [18:54:10.282261] Epoch: [75] [849/850] eta: 0:00:00 lr: 0.002387 loss: 0.0404 (0.0450) loss_rec_all: 0.0762 (0.0809) loss_rec_sfr: 0.0975 (0.1177) loss_cl: -0.3678 (-0.3671) time: 0.8889 data: 0.0008 max mem: 29859 [18:54:10.466783] Epoch: [75] Total time: 0:12:20 (0.8707 s / it) [18:54:10.481702] Averaged stats: lr: 0.002387 loss: 0.0404 (0.0447) loss_rec_all: 0.0762 (0.0806) loss_rec_sfr: 0.0975 (0.1165) loss_cl: -0.3678 (-0.3671) [18:54:10.500556] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [18:54:16.453923] Epoch: [76] [ 0/850] eta: 1:24:19 lr: 0.002387 loss: 0.0359 (0.0359) loss_rec_all: 0.0721 (0.0721) loss_rec_sfr: 0.0739 (0.0739) loss_cl: -0.3670 (-0.3670) time: 5.9519 data: 3.9539 max mem: 29859 [18:54:33.626193] Epoch: [76] [ 20/850] eta: 0:15:13 lr: 0.002387 loss: 0.0402 (0.0412) loss_rec_all: 0.0761 (0.0772) loss_rec_sfr: 0.0960 (0.1102) loss_cl: -0.3678 (-0.3678) time: 0.8586 data: 0.0002 max mem: 29859 [18:54:50.962593] Epoch: [76] [ 40/850] eta: 0:13:19 lr: 0.002387 loss: 0.0387 (0.0406) loss_rec_all: 0.0747 (0.0766) loss_rec_sfr: 0.0913 (0.1084) loss_cl: -0.3676 (-0.3676) time: 0.8667 data: 0.0003 max mem: 29859 [18:55:08.453255] Epoch: [76] [ 60/850] eta: 0:12:30 lr: 0.002387 loss: 0.0397 (0.0406) loss_rec_all: 0.0754 (0.0765) loss_rec_sfr: 0.1219 (0.1125) loss_cl: -0.3673 (-0.3675) time: 0.8744 data: 0.0004 max mem: 29859 [18:55:25.781099] Epoch: [76] [ 80/850] eta: 0:11:55 lr: 0.002387 loss: 0.0399 (0.0409) loss_rec_all: 0.0761 (0.0769) loss_rec_sfr: 0.1026 (0.1116) loss_cl: -0.3670 (-0.3673) time: 0.8663 data: 0.0003 max mem: 29859 [18:55:42.979142] Epoch: [76] [100/850] eta: 0:11:26 lr: 0.002387 loss: 0.0441 (0.0418) loss_rec_all: 0.0803 (0.0777) loss_rec_sfr: 0.0966 (0.1121) loss_cl: -0.3672 (-0.3673) time: 0.8599 data: 0.0002 max mem: 29859 [18:56:00.280231] Epoch: [76] [120/850] eta: 0:11:02 lr: 0.002387 loss: 0.0415 (0.0419) loss_rec_all: 0.0773 (0.0779) loss_rec_sfr: 0.1014 (0.1118) loss_cl: -0.3668 (-0.3672) time: 0.8650 data: 0.0002 max mem: 29859 [18:56:17.496772] Epoch: [76] [140/850] eta: 0:10:39 lr: 0.002387 loss: 0.0429 (0.0421) loss_rec_all: 0.0789 (0.0781) loss_rec_sfr: 0.0937 (0.1111) loss_cl: -0.3663 (-0.3670) time: 0.8608 data: 0.0002 max mem: 29859 [18:56:34.743284] Epoch: [76] [160/850] eta: 0:10:18 lr: 0.002387 loss: 0.0454 (0.0428) loss_rec_all: 0.0812 (0.0787) loss_rec_sfr: 0.0928 (0.1117) loss_cl: -0.3671 (-0.3670) time: 0.8623 data: 0.0002 max mem: 29859 [18:56:52.031171] Epoch: [76] [180/850] eta: 0:09:57 lr: 0.002387 loss: 0.0454 (0.0431) loss_rec_all: 0.0814 (0.0790) loss_rec_sfr: 0.1292 (0.1139) loss_cl: -0.3672 (-0.3671) time: 0.8643 data: 0.0002 max mem: 29859 [18:57:09.316369] Epoch: [76] [200/850] eta: 0:09:38 lr: 0.002387 loss: 0.0430 (0.0432) loss_rec_all: 0.0789 (0.0791) loss_rec_sfr: 0.1213 (0.1149) loss_cl: -0.3676 (-0.3671) time: 0.8642 data: 0.0003 max mem: 29859 [18:57:26.532333] Epoch: [76] [220/850] eta: 0:09:18 lr: 0.002387 loss: 0.0417 (0.0433) loss_rec_all: 0.0775 (0.0792) loss_rec_sfr: 0.1000 (0.1146) loss_cl: -0.3680 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [18:57:43.899264] Epoch: [76] [240/850] eta: 0:09:00 lr: 0.002387 loss: 0.0414 (0.0431) loss_rec_all: 0.0771 (0.0791) loss_rec_sfr: 0.0985 (0.1143) loss_cl: -0.3675 (-0.3672) time: 0.8683 data: 0.0003 max mem: 29859 [18:58:01.196137] Epoch: [76] [260/850] eta: 0:08:41 lr: 0.002387 loss: 0.0396 (0.0430) loss_rec_all: 0.0754 (0.0789) loss_rec_sfr: 0.0991 (0.1141) loss_cl: -0.3668 (-0.3672) time: 0.8648 data: 0.0003 max mem: 29859 [18:58:18.443792] Epoch: [76] [280/850] eta: 0:08:22 lr: 0.002386 loss: 0.0417 (0.0430) loss_rec_all: 0.0772 (0.0789) loss_rec_sfr: 0.1243 (0.1152) loss_cl: -0.3663 (-0.3671) time: 0.8623 data: 0.0003 max mem: 29859 [18:58:35.764813] Epoch: [76] [300/850] eta: 0:08:04 lr: 0.002386 loss: 0.0405 (0.0429) loss_rec_all: 0.0763 (0.0788) loss_rec_sfr: 0.0962 (0.1150) loss_cl: -0.3664 (-0.3671) time: 0.8660 data: 0.0004 max mem: 29859 [18:58:53.095279] Epoch: [76] [320/850] eta: 0:07:46 lr: 0.002386 loss: 0.0401 (0.0429) loss_rec_all: 0.0758 (0.0788) loss_rec_sfr: 0.0907 (0.1145) loss_cl: -0.3674 (-0.3671) time: 0.8665 data: 0.0003 max mem: 29859 [18:59:10.304661] Epoch: [76] [340/850] eta: 0:07:28 lr: 0.002386 loss: 0.0433 (0.0430) loss_rec_all: 0.0790 (0.0789) loss_rec_sfr: 0.1228 (0.1148) loss_cl: -0.3680 (-0.3671) time: 0.8604 data: 0.0002 max mem: 29859 [18:59:27.634032] Epoch: [76] [360/850] eta: 0:07:10 lr: 0.002386 loss: 0.0446 (0.0433) loss_rec_all: 0.0809 (0.0792) loss_rec_sfr: 0.0965 (0.1147) loss_cl: -0.3679 (-0.3672) time: 0.8664 data: 0.0003 max mem: 29859 [18:59:44.956629] Epoch: [76] [380/850] eta: 0:06:52 lr: 0.002386 loss: 0.0452 (0.0435) loss_rec_all: 0.0814 (0.0794) loss_rec_sfr: 0.1095 (0.1147) loss_cl: -0.3670 (-0.3672) time: 0.8661 data: 0.0004 max mem: 29859 [19:00:02.222100] Epoch: [76] [400/850] eta: 0:06:34 lr: 0.002386 loss: 0.0465 (0.0437) loss_rec_all: 0.0825 (0.0796) loss_rec_sfr: 0.1115 (0.1150) loss_cl: -0.3661 (-0.3671) time: 0.8632 data: 0.0003 max mem: 29859 [19:00:19.470581] Epoch: [76] [420/850] eta: 0:06:16 lr: 0.002386 loss: 0.0467 (0.0439) loss_rec_all: 0.0821 (0.0798) loss_rec_sfr: 0.1308 (0.1157) loss_cl: -0.3666 (-0.3671) time: 0.8623 data: 0.0004 max mem: 29859 [19:00:36.811320] Epoch: [76] [440/850] eta: 0:05:59 lr: 0.002386 loss: 0.0430 (0.0439) loss_rec_all: 0.0786 (0.0798) loss_rec_sfr: 0.0837 (0.1155) loss_cl: -0.3672 (-0.3671) time: 0.8670 data: 0.0004 max mem: 29859 [19:00:54.154615] Epoch: [76] [460/850] eta: 0:05:41 lr: 0.002386 loss: 0.0424 (0.0438) loss_rec_all: 0.0783 (0.0797) loss_rec_sfr: 0.1199 (0.1158) loss_cl: -0.3675 (-0.3671) time: 0.8671 data: 0.0003 max mem: 29859 [19:01:11.500796] Epoch: [76] [480/850] eta: 0:05:23 lr: 0.002386 loss: 0.0415 (0.0438) loss_rec_all: 0.0776 (0.0797) loss_rec_sfr: 0.1248 (0.1160) loss_cl: -0.3673 (-0.3671) time: 0.8672 data: 0.0003 max mem: 29859 [19:01:28.780702] Epoch: [76] [500/850] eta: 0:05:06 lr: 0.002386 loss: 0.0405 (0.0437) loss_rec_all: 0.0764 (0.0796) loss_rec_sfr: 0.0977 (0.1155) loss_cl: -0.3669 (-0.3671) time: 0.8637 data: 0.0003 max mem: 29859 [19:01:46.113664] Epoch: [76] [520/850] eta: 0:04:48 lr: 0.002386 loss: 0.0424 (0.0437) loss_rec_all: 0.0781 (0.0796) loss_rec_sfr: 0.1182 (0.1157) loss_cl: -0.3669 (-0.3671) time: 0.8666 data: 0.0005 max mem: 29859 [19:02:03.370529] Epoch: [76] [540/850] eta: 0:04:30 lr: 0.002386 loss: 0.0402 (0.0435) loss_rec_all: 0.0759 (0.0795) loss_rec_sfr: 0.0956 (0.1155) loss_cl: -0.3676 (-0.3671) time: 0.8628 data: 0.0003 max mem: 29859 [19:02:20.660660] Epoch: [76] [560/850] eta: 0:04:13 lr: 0.002386 loss: 0.0432 (0.0435) loss_rec_all: 0.0789 (0.0794) loss_rec_sfr: 0.1179 (0.1154) loss_cl: -0.3669 (-0.3671) time: 0.8644 data: 0.0003 max mem: 29859 [19:02:38.028108] Epoch: [76] [580/850] eta: 0:03:55 lr: 0.002386 loss: 0.0463 (0.0437) loss_rec_all: 0.0818 (0.0796) loss_rec_sfr: 0.1307 (0.1158) loss_cl: -0.3668 (-0.3671) time: 0.8683 data: 0.0004 max mem: 29859 [19:02:55.315741] Epoch: [76] [600/850] eta: 0:03:38 lr: 0.002386 loss: 0.0446 (0.0438) loss_rec_all: 0.0806 (0.0797) loss_rec_sfr: 0.0960 (0.1158) loss_cl: -0.3668 (-0.3671) time: 0.8643 data: 0.0002 max mem: 29859 [19:03:12.550838] Epoch: [76] [620/850] eta: 0:03:20 lr: 0.002386 loss: 0.0432 (0.0438) loss_rec_all: 0.0792 (0.0797) loss_rec_sfr: 0.0927 (0.1156) loss_cl: -0.3666 (-0.3671) time: 0.8617 data: 0.0003 max mem: 29859 [19:03:29.954206] Epoch: [76] [640/850] eta: 0:03:03 lr: 0.002386 loss: 0.0414 (0.0438) loss_rec_all: 0.0772 (0.0797) loss_rec_sfr: 0.0985 (0.1155) loss_cl: -0.3671 (-0.3671) time: 0.8701 data: 0.0005 max mem: 29859 [19:03:47.189158] Epoch: [76] [660/850] eta: 0:02:45 lr: 0.002386 loss: 0.0400 (0.0437) loss_rec_all: 0.0761 (0.0796) loss_rec_sfr: 0.0830 (0.1148) loss_cl: -0.3675 (-0.3671) time: 0.8617 data: 0.0003 max mem: 29859 [19:04:04.458262] Epoch: [76] [680/850] eta: 0:02:28 lr: 0.002386 loss: 0.0413 (0.0437) loss_rec_all: 0.0772 (0.0796) loss_rec_sfr: 0.0940 (0.1148) loss_cl: -0.3679 (-0.3671) time: 0.8634 data: 0.0003 max mem: 29859 [19:04:21.773447] Epoch: [76] [700/850] eta: 0:02:10 lr: 0.002386 loss: 0.0431 (0.0437) loss_rec_all: 0.0792 (0.0796) loss_rec_sfr: 0.1262 (0.1151) loss_cl: -0.3679 (-0.3671) time: 0.8657 data: 0.0005 max mem: 29859 [19:04:39.201448] Epoch: [76] [720/850] eta: 0:01:53 lr: 0.002386 loss: 0.0420 (0.0437) loss_rec_all: 0.0781 (0.0796) loss_rec_sfr: 0.1194 (0.1150) loss_cl: -0.3665 (-0.3671) time: 0.8713 data: 0.0004 max mem: 29859 [19:04:56.425061] Epoch: [76] [740/850] eta: 0:01:35 lr: 0.002386 loss: 0.0415 (0.0436) loss_rec_all: 0.0775 (0.0795) loss_rec_sfr: 0.1076 (0.1151) loss_cl: -0.3665 (-0.3671) time: 0.8611 data: 0.0002 max mem: 29859 [19:05:13.717442] Epoch: [76] [760/850] eta: 0:01:18 lr: 0.002386 loss: 0.0421 (0.0436) loss_rec_all: 0.0782 (0.0795) loss_rec_sfr: 0.1229 (0.1153) loss_cl: -0.3672 (-0.3671) time: 0.8646 data: 0.0003 max mem: 29859 [19:05:31.028832] Epoch: [76] [780/850] eta: 0:01:00 lr: 0.002386 loss: 0.0412 (0.0436) loss_rec_all: 0.0770 (0.0795) loss_rec_sfr: 0.0906 (0.1153) loss_cl: -0.3670 (-0.3671) time: 0.8655 data: 0.0004 max mem: 29859 [19:05:48.328959] Epoch: [76] [800/850] eta: 0:00:43 lr: 0.002386 loss: 0.0412 (0.0436) loss_rec_all: 0.0773 (0.0795) loss_rec_sfr: 0.1080 (0.1153) loss_cl: -0.3676 (-0.3671) time: 0.8649 data: 0.0004 max mem: 29859 [19:06:05.676128] Epoch: [76] [820/850] eta: 0:00:26 lr: 0.002386 loss: 0.0426 (0.0436) loss_rec_all: 0.0784 (0.0795) loss_rec_sfr: 0.1218 (0.1156) loss_cl: -0.3673 (-0.3671) time: 0.8673 data: 0.0004 max mem: 29859 [19:06:23.240428] Epoch: [76] [840/850] eta: 0:00:08 lr: 0.002386 loss: 0.0416 (0.0436) loss_rec_all: 0.0773 (0.0795) loss_rec_sfr: 0.1270 (0.1156) loss_cl: -0.3675 (-0.3671) time: 0.8781 data: 0.0014 max mem: 29859 [19:06:31.083243] Epoch: [76] [849/850] eta: 0:00:00 lr: 0.002386 loss: 0.0405 (0.0435) loss_rec_all: 0.0768 (0.0795) loss_rec_sfr: 0.1188 (0.1156) loss_cl: -0.3675 (-0.3671) time: 0.8775 data: 0.0013 max mem: 29859 [19:06:31.286129] Epoch: [76] Total time: 0:12:20 (0.8715 s / it) [19:06:31.293039] Averaged stats: lr: 0.002386 loss: 0.0405 (0.0434) loss_rec_all: 0.0768 (0.0794) loss_rec_sfr: 0.1188 (0.1156) loss_cl: -0.3675 (-0.3671) [19:06:31.306328] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [19:06:36.446065] Epoch: [77] [ 0/850] eta: 1:12:47 lr: 0.002386 loss: 0.0396 (0.0396) loss_rec_all: 0.0758 (0.0758) loss_rec_sfr: 0.0922 (0.0922) loss_cl: -0.3680 (-0.3680) time: 5.1387 data: 4.2849 max mem: 29859 [19:06:53.703709] Epoch: [77] [ 20/850] eta: 0:14:45 lr: 0.002386 loss: 0.0395 (0.0404) loss_rec_all: 0.0755 (0.0764) loss_rec_sfr: 0.0913 (0.1083) loss_cl: -0.3675 (-0.3674) time: 0.8628 data: 0.0003 max mem: 29859 [19:07:11.157739] Epoch: [77] [ 40/850] eta: 0:13:07 lr: 0.002386 loss: 0.0395 (0.0407) loss_rec_all: 0.0756 (0.0766) loss_rec_sfr: 0.1380 (0.1161) loss_cl: -0.3674 (-0.3673) time: 0.8726 data: 0.0004 max mem: 29859 [19:07:28.500018] Epoch: [77] [ 60/850] eta: 0:12:20 lr: 0.002386 loss: 0.0397 (0.0409) loss_rec_all: 0.0758 (0.0769) loss_rec_sfr: 0.0908 (0.1126) loss_cl: -0.3673 (-0.3673) time: 0.8670 data: 0.0004 max mem: 29859 [19:07:45.748390] Epoch: [77] [ 80/850] eta: 0:11:47 lr: 0.002386 loss: 0.0401 (0.0415) loss_rec_all: 0.0763 (0.0774) loss_rec_sfr: 0.0993 (0.1128) loss_cl: -0.3674 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [19:08:02.968196] Epoch: [77] [100/850] eta: 0:11:20 lr: 0.002386 loss: 0.0422 (0.0417) loss_rec_all: 0.0784 (0.0777) loss_rec_sfr: 0.0878 (0.1126) loss_cl: -0.3676 (-0.3674) time: 0.8609 data: 0.0002 max mem: 29859 [19:08:20.537582] Epoch: [77] [120/850] eta: 0:10:58 lr: 0.002386 loss: 0.0421 (0.0420) loss_rec_all: 0.0781 (0.0779) loss_rec_sfr: 0.0910 (0.1130) loss_cl: -0.3673 (-0.3674) time: 0.8784 data: 0.0005 max mem: 29859 [19:08:37.753500] Epoch: [77] [140/850] eta: 0:10:36 lr: 0.002386 loss: 0.0426 (0.0422) loss_rec_all: 0.0782 (0.0781) loss_rec_sfr: 0.1196 (0.1143) loss_cl: -0.3666 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [19:08:55.014302] Epoch: [77] [160/850] eta: 0:10:15 lr: 0.002386 loss: 0.0427 (0.0423) loss_rec_all: 0.0786 (0.0782) loss_rec_sfr: 0.1050 (0.1147) loss_cl: -0.3665 (-0.3671) time: 0.8630 data: 0.0002 max mem: 29859 [19:09:12.368265] Epoch: [77] [180/850] eta: 0:09:56 lr: 0.002386 loss: 0.0410 (0.0423) loss_rec_all: 0.0771 (0.0782) loss_rec_sfr: 0.1257 (0.1158) loss_cl: -0.3668 (-0.3671) time: 0.8676 data: 0.0004 max mem: 29859 [19:09:29.670606] Epoch: [77] [200/850] eta: 0:09:36 lr: 0.002386 loss: 0.0407 (0.0423) loss_rec_all: 0.0768 (0.0782) loss_rec_sfr: 0.1150 (0.1157) loss_cl: -0.3672 (-0.3671) time: 0.8651 data: 0.0003 max mem: 29859 [19:09:46.869307] Epoch: [77] [220/850] eta: 0:09:17 lr: 0.002386 loss: 0.0431 (0.0426) loss_rec_all: 0.0793 (0.0785) loss_rec_sfr: 0.1223 (0.1160) loss_cl: -0.3676 (-0.3671) time: 0.8599 data: 0.0002 max mem: 29859 [19:10:04.243346] Epoch: [77] [240/850] eta: 0:08:58 lr: 0.002386 loss: 0.0399 (0.0425) loss_rec_all: 0.0761 (0.0784) loss_rec_sfr: 0.0933 (0.1150) loss_cl: -0.3674 (-0.3671) time: 0.8686 data: 0.0003 max mem: 29859 [19:10:21.462221] Epoch: [77] [260/850] eta: 0:08:40 lr: 0.002386 loss: 0.0407 (0.0424) loss_rec_all: 0.0763 (0.0783) loss_rec_sfr: 0.0896 (0.1142) loss_cl: -0.3669 (-0.3671) time: 0.8609 data: 0.0002 max mem: 29859 [19:10:38.774957] Epoch: [77] [280/850] eta: 0:08:21 lr: 0.002386 loss: 0.0396 (0.0424) loss_rec_all: 0.0753 (0.0783) loss_rec_sfr: 0.0890 (0.1137) loss_cl: -0.3665 (-0.3671) time: 0.8655 data: 0.0003 max mem: 29859 [19:10:56.148095] Epoch: [77] [300/850] eta: 0:08:03 lr: 0.002386 loss: 0.0419 (0.0425) loss_rec_all: 0.0779 (0.0784) loss_rec_sfr: 0.0999 (0.1138) loss_cl: -0.3669 (-0.3670) time: 0.8686 data: 0.0004 max mem: 29859 [19:11:13.406268] Epoch: [77] [320/850] eta: 0:07:45 lr: 0.002386 loss: 0.0418 (0.0426) loss_rec_all: 0.0776 (0.0785) loss_rec_sfr: 0.0935 (0.1136) loss_cl: -0.3673 (-0.3670) time: 0.8629 data: 0.0002 max mem: 29859 [19:11:30.617660] Epoch: [77] [340/850] eta: 0:07:27 lr: 0.002386 loss: 0.0417 (0.0426) loss_rec_all: 0.0775 (0.0785) loss_rec_sfr: 0.0941 (0.1133) loss_cl: -0.3677 (-0.3671) time: 0.8605 data: 0.0002 max mem: 29859 [19:11:47.935253] Epoch: [77] [360/850] eta: 0:07:09 lr: 0.002386 loss: 0.0397 (0.0426) loss_rec_all: 0.0760 (0.0785) loss_rec_sfr: 0.1147 (0.1133) loss_cl: -0.3675 (-0.3671) time: 0.8658 data: 0.0003 max mem: 29859 [19:12:05.193562] Epoch: [77] [380/850] eta: 0:06:51 lr: 0.002386 loss: 0.0397 (0.0425) loss_rec_all: 0.0755 (0.0784) loss_rec_sfr: 0.0924 (0.1133) loss_cl: -0.3669 (-0.3671) time: 0.8629 data: 0.0003 max mem: 29859 [19:12:22.446912] Epoch: [77] [400/850] eta: 0:06:34 lr: 0.002386 loss: 0.0404 (0.0424) loss_rec_all: 0.0765 (0.0783) loss_rec_sfr: 0.0866 (0.1130) loss_cl: -0.3665 (-0.3671) time: 0.8626 data: 0.0002 max mem: 29859 [19:12:39.709621] Epoch: [77] [420/850] eta: 0:06:16 lr: 0.002386 loss: 0.0398 (0.0423) loss_rec_all: 0.0755 (0.0782) loss_rec_sfr: 0.1321 (0.1136) loss_cl: -0.3662 (-0.3670) time: 0.8631 data: 0.0003 max mem: 29859 [19:12:56.999222] Epoch: [77] [440/850] eta: 0:05:58 lr: 0.002386 loss: 0.0429 (0.0424) loss_rec_all: 0.0786 (0.0783) loss_rec_sfr: 0.1159 (0.1142) loss_cl: -0.3677 (-0.3671) time: 0.8644 data: 0.0003 max mem: 29859 [19:13:14.225406] Epoch: [77] [460/850] eta: 0:05:40 lr: 0.002386 loss: 0.0465 (0.0426) loss_rec_all: 0.0821 (0.0785) loss_rec_sfr: 0.1501 (0.1153) loss_cl: -0.3680 (-0.3671) time: 0.8613 data: 0.0003 max mem: 29859 [19:13:31.641279] Epoch: [77] [480/850] eta: 0:05:23 lr: 0.002386 loss: 0.0428 (0.0427) loss_rec_all: 0.0790 (0.0786) loss_rec_sfr: 0.1038 (0.1152) loss_cl: -0.3678 (-0.3671) time: 0.8707 data: 0.0003 max mem: 29859 [19:13:48.951213] Epoch: [77] [500/850] eta: 0:05:05 lr: 0.002386 loss: 0.0433 (0.0428) loss_rec_all: 0.0789 (0.0787) loss_rec_sfr: 0.1225 (0.1154) loss_cl: -0.3678 (-0.3671) time: 0.8654 data: 0.0003 max mem: 29859 [19:14:06.219610] Epoch: [77] [520/850] eta: 0:04:48 lr: 0.002386 loss: 0.0451 (0.0429) loss_rec_all: 0.0807 (0.0788) loss_rec_sfr: 0.1196 (0.1158) loss_cl: -0.3674 (-0.3671) time: 0.8634 data: 0.0003 max mem: 29859 [19:14:23.459435] Epoch: [77] [540/850] eta: 0:04:30 lr: 0.002386 loss: 0.0405 (0.0429) loss_rec_all: 0.0765 (0.0788) loss_rec_sfr: 0.0925 (0.1151) loss_cl: -0.3663 (-0.3671) time: 0.8619 data: 0.0002 max mem: 29859 [19:14:40.866345] Epoch: [77] [560/850] eta: 0:04:13 lr: 0.002385 loss: 0.0415 (0.0428) loss_rec_all: 0.0771 (0.0787) loss_rec_sfr: 0.1212 (0.1153) loss_cl: -0.3664 (-0.3671) time: 0.8703 data: 0.0003 max mem: 29859 [19:14:58.103957] Epoch: [77] [580/850] eta: 0:03:55 lr: 0.002385 loss: 0.0396 (0.0428) loss_rec_all: 0.0758 (0.0787) loss_rec_sfr: 0.0842 (0.1150) loss_cl: -0.3669 (-0.3671) time: 0.8618 data: 0.0002 max mem: 29859 [19:15:15.376211] Epoch: [77] [600/850] eta: 0:03:37 lr: 0.002385 loss: 0.0394 (0.0428) loss_rec_all: 0.0755 (0.0787) loss_rec_sfr: 0.1152 (0.1150) loss_cl: -0.3672 (-0.3671) time: 0.8636 data: 0.0002 max mem: 29859 [19:15:32.703853] Epoch: [77] [620/850] eta: 0:03:20 lr: 0.002385 loss: 0.0396 (0.0427) loss_rec_all: 0.0756 (0.0786) loss_rec_sfr: 0.1177 (0.1148) loss_cl: -0.3670 (-0.3671) time: 0.8663 data: 0.0003 max mem: 29859 [19:15:50.036275] Epoch: [77] [640/850] eta: 0:03:03 lr: 0.002385 loss: 0.0409 (0.0427) loss_rec_all: 0.0770 (0.0786) loss_rec_sfr: 0.0944 (0.1147) loss_cl: -0.3672 (-0.3671) time: 0.8665 data: 0.0003 max mem: 29859 [19:16:07.298548] Epoch: [77] [660/850] eta: 0:02:45 lr: 0.002385 loss: 0.0391 (0.0426) loss_rec_all: 0.0753 (0.0786) loss_rec_sfr: 0.0951 (0.1145) loss_cl: -0.3678 (-0.3671) time: 0.8631 data: 0.0002 max mem: 29859 [19:16:24.666362] Epoch: [77] [680/850] eta: 0:02:28 lr: 0.002385 loss: 0.0399 (0.0426) loss_rec_all: 0.0755 (0.0785) loss_rec_sfr: 0.0858 (0.1140) loss_cl: -0.3672 (-0.3671) time: 0.8683 data: 0.0004 max mem: 29859 [19:16:41.895822] Epoch: [77] [700/850] eta: 0:02:10 lr: 0.002385 loss: 0.0416 (0.0426) loss_rec_all: 0.0776 (0.0785) loss_rec_sfr: 0.1378 (0.1143) loss_cl: -0.3669 (-0.3671) time: 0.8614 data: 0.0003 max mem: 29859 [19:16:59.178730] Epoch: [77] [720/850] eta: 0:01:53 lr: 0.002385 loss: 0.0423 (0.0426) loss_rec_all: 0.0783 (0.0786) loss_rec_sfr: 0.1225 (0.1144) loss_cl: -0.3682 (-0.3671) time: 0.8641 data: 0.0003 max mem: 29859 [19:17:16.483279] Epoch: [77] [740/850] eta: 0:01:35 lr: 0.002385 loss: 0.0428 (0.0427) loss_rec_all: 0.0788 (0.0786) loss_rec_sfr: 0.0984 (0.1146) loss_cl: -0.3669 (-0.3671) time: 0.8651 data: 0.0003 max mem: 29859 [19:17:33.731874] Epoch: [77] [760/850] eta: 0:01:18 lr: 0.002385 loss: 0.0475 (0.0428) loss_rec_all: 0.0833 (0.0787) loss_rec_sfr: 0.1306 (0.1149) loss_cl: -0.3669 (-0.3671) time: 0.8624 data: 0.0002 max mem: 29859 [19:17:50.947296] Epoch: [77] [780/850] eta: 0:01:00 lr: 0.002385 loss: 0.0449 (0.0429) loss_rec_all: 0.0809 (0.0788) loss_rec_sfr: 0.0966 (0.1150) loss_cl: -0.3667 (-0.3671) time: 0.8606 data: 0.0002 max mem: 29859 [19:18:08.311277] Epoch: [77] [800/850] eta: 0:00:43 lr: 0.002385 loss: 0.0450 (0.0430) loss_rec_all: 0.0805 (0.0789) loss_rec_sfr: 0.1320 (0.1155) loss_cl: -0.3661 (-0.3671) time: 0.8681 data: 0.0003 max mem: 29859 [19:18:25.527422] Epoch: [77] [820/850] eta: 0:00:26 lr: 0.002385 loss: 0.0417 (0.0430) loss_rec_all: 0.0777 (0.0789) loss_rec_sfr: 0.0971 (0.1152) loss_cl: -0.3667 (-0.3670) time: 0.8608 data: 0.0002 max mem: 29859 [19:18:42.767444] Epoch: [77] [840/850] eta: 0:00:08 lr: 0.002385 loss: 0.0431 (0.0430) loss_rec_all: 0.0787 (0.0789) loss_rec_sfr: 0.1237 (0.1153) loss_cl: -0.3671 (-0.3670) time: 0.8620 data: 0.0006 max mem: 29859 [19:18:50.551744] Epoch: [77] [849/850] eta: 0:00:00 lr: 0.002385 loss: 0.0422 (0.0430) loss_rec_all: 0.0778 (0.0789) loss_rec_sfr: 0.1199 (0.1153) loss_cl: -0.3671 (-0.3670) time: 0.8640 data: 0.0006 max mem: 29859 [19:18:50.750366] Epoch: [77] Total time: 0:12:19 (0.8699 s / it) [19:18:50.762818] Averaged stats: lr: 0.002385 loss: 0.0422 (0.0429) loss_rec_all: 0.0778 (0.0788) loss_rec_sfr: 0.1199 (0.1155) loss_cl: -0.3671 (-0.3671) [19:18:50.780150] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [19:18:55.278288] Epoch: [78] [ 0/850] eta: 1:03:40 lr: 0.002385 loss: 0.0390 (0.0390) loss_rec_all: 0.0753 (0.0753) loss_rec_sfr: 0.0754 (0.0754) loss_cl: -0.3688 (-0.3688) time: 4.4953 data: 3.4426 max mem: 29859 [19:19:12.460954] Epoch: [78] [ 20/850] eta: 0:14:16 lr: 0.002385 loss: 0.0405 (0.0413) loss_rec_all: 0.0765 (0.0774) loss_rec_sfr: 0.0819 (0.1013) loss_cl: -0.3679 (-0.3678) time: 0.8591 data: 0.0002 max mem: 29859 [19:19:29.725521] Epoch: [78] [ 40/850] eta: 0:12:49 lr: 0.002385 loss: 0.0389 (0.0406) loss_rec_all: 0.0750 (0.0767) loss_rec_sfr: 0.0919 (0.1030) loss_cl: -0.3681 (-0.3679) time: 0.8632 data: 0.0002 max mem: 29859 [19:19:47.102494] Epoch: [78] [ 60/850] eta: 0:12:09 lr: 0.002385 loss: 0.0405 (0.0409) loss_rec_all: 0.0767 (0.0770) loss_rec_sfr: 0.0986 (0.1064) loss_cl: -0.3681 (-0.3680) time: 0.8688 data: 0.0003 max mem: 29859 [19:20:04.389209] Epoch: [78] [ 80/850] eta: 0:11:39 lr: 0.002385 loss: 0.0400 (0.0408) loss_rec_all: 0.0761 (0.0768) loss_rec_sfr: 0.0878 (0.1064) loss_cl: -0.3680 (-0.3680) time: 0.8643 data: 0.0002 max mem: 29859 [19:20:21.636373] Epoch: [78] [100/850] eta: 0:11:14 lr: 0.002385 loss: 0.0417 (0.0411) loss_rec_all: 0.0773 (0.0771) loss_rec_sfr: 0.1231 (0.1088) loss_cl: -0.3665 (-0.3677) time: 0.8623 data: 0.0002 max mem: 29859 [19:20:39.266804] Epoch: [78] [120/850] eta: 0:10:54 lr: 0.002385 loss: 0.0386 (0.0408) loss_rec_all: 0.0743 (0.0768) loss_rec_sfr: 0.0814 (0.1072) loss_cl: -0.3658 (-0.3674) time: 0.8814 data: 0.0003 max mem: 29859 [19:20:56.558113] Epoch: [78] [140/850] eta: 0:10:33 lr: 0.002385 loss: 0.0422 (0.0412) loss_rec_all: 0.0783 (0.0771) loss_rec_sfr: 0.0981 (0.1076) loss_cl: -0.3663 (-0.3673) time: 0.8645 data: 0.0003 max mem: 29859 [19:21:13.931730] Epoch: [78] [160/850] eta: 0:10:13 lr: 0.002385 loss: 0.0464 (0.0421) loss_rec_all: 0.0825 (0.0781) loss_rec_sfr: 0.0974 (0.1083) loss_cl: -0.3674 (-0.3672) time: 0.8686 data: 0.0003 max mem: 29859 [19:21:31.519899] Epoch: [78] [180/850] eta: 0:09:54 lr: 0.002385 loss: 0.0485 (0.0431) loss_rec_all: 0.0845 (0.0790) loss_rec_sfr: 0.1050 (0.1098) loss_cl: -0.3684 (-0.3673) time: 0.8793 data: 0.0005 max mem: 29859 [19:21:48.926571] Epoch: [78] [200/850] eta: 0:09:36 lr: 0.002385 loss: 0.0445 (0.0433) loss_rec_all: 0.0804 (0.0793) loss_rec_sfr: 0.0884 (0.1098) loss_cl: -0.3685 (-0.3675) time: 0.8703 data: 0.0003 max mem: 29859 [19:22:06.203393] Epoch: [78] [220/850] eta: 0:09:17 lr: 0.002385 loss: 0.0442 (0.0436) loss_rec_all: 0.0803 (0.0796) loss_rec_sfr: 0.1226 (0.1106) loss_cl: -0.3672 (-0.3674) time: 0.8637 data: 0.0003 max mem: 29859 [19:22:23.624143] Epoch: [78] [240/850] eta: 0:08:58 lr: 0.002385 loss: 0.0484 (0.0442) loss_rec_all: 0.0843 (0.0802) loss_rec_sfr: 0.1327 (0.1115) loss_cl: -0.3663 (-0.3673) time: 0.8710 data: 0.0004 max mem: 29859 [19:22:40.832562] Epoch: [78] [260/850] eta: 0:08:39 lr: 0.002385 loss: 0.0438 (0.0443) loss_rec_all: 0.0798 (0.0802) loss_rec_sfr: 0.0907 (0.1109) loss_cl: -0.3657 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [19:22:58.106175] Epoch: [78] [280/850] eta: 0:08:21 lr: 0.002385 loss: 0.0429 (0.0443) loss_rec_all: 0.0790 (0.0803) loss_rec_sfr: 0.1264 (0.1117) loss_cl: -0.3666 (-0.3672) time: 0.8636 data: 0.0002 max mem: 29859 [19:23:15.545309] Epoch: [78] [300/850] eta: 0:08:03 lr: 0.002385 loss: 0.0413 (0.0443) loss_rec_all: 0.0773 (0.0802) loss_rec_sfr: 0.0960 (0.1114) loss_cl: -0.3665 (-0.3671) time: 0.8719 data: 0.0004 max mem: 29859 [19:23:32.811580] Epoch: [78] [320/850] eta: 0:07:45 lr: 0.002385 loss: 0.0425 (0.0443) loss_rec_all: 0.0784 (0.0802) loss_rec_sfr: 0.1268 (0.1120) loss_cl: -0.3673 (-0.3671) time: 0.8633 data: 0.0002 max mem: 29859 [19:23:50.034515] Epoch: [78] [340/850] eta: 0:07:27 lr: 0.002385 loss: 0.0432 (0.0442) loss_rec_all: 0.0790 (0.0801) loss_rec_sfr: 0.0929 (0.1122) loss_cl: -0.3678 (-0.3672) time: 0.8611 data: 0.0002 max mem: 29859 [19:24:07.393320] Epoch: [78] [360/850] eta: 0:07:09 lr: 0.002385 loss: 0.0399 (0.0440) loss_rec_all: 0.0760 (0.0799) loss_rec_sfr: 0.1306 (0.1130) loss_cl: -0.3678 (-0.3672) time: 0.8679 data: 0.0004 max mem: 29859 [19:24:24.607629] Epoch: [78] [380/850] eta: 0:06:51 lr: 0.002385 loss: 0.0405 (0.0439) loss_rec_all: 0.0767 (0.0799) loss_rec_sfr: 0.1277 (0.1136) loss_cl: -0.3681 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [19:24:41.911919] Epoch: [78] [400/850] eta: 0:06:34 lr: 0.002385 loss: 0.0401 (0.0438) loss_rec_all: 0.0760 (0.0798) loss_rec_sfr: 0.1107 (0.1135) loss_cl: -0.3672 (-0.3672) time: 0.8651 data: 0.0002 max mem: 29859 [19:24:59.186681] Epoch: [78] [420/850] eta: 0:06:16 lr: 0.002385 loss: 0.0411 (0.0437) loss_rec_all: 0.0770 (0.0796) loss_rec_sfr: 0.1364 (0.1142) loss_cl: -0.3665 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [19:25:16.428225] Epoch: [78] [440/850] eta: 0:05:58 lr: 0.002385 loss: 0.0408 (0.0436) loss_rec_all: 0.0769 (0.0795) loss_rec_sfr: 0.1145 (0.1142) loss_cl: -0.3664 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [19:25:33.734196] Epoch: [78] [460/850] eta: 0:05:40 lr: 0.002385 loss: 0.0388 (0.0435) loss_rec_all: 0.0748 (0.0794) loss_rec_sfr: 0.0810 (0.1139) loss_cl: -0.3668 (-0.3671) time: 0.8652 data: 0.0002 max mem: 29859 [19:25:51.004206] Epoch: [78] [480/850] eta: 0:05:23 lr: 0.002385 loss: 0.0402 (0.0434) loss_rec_all: 0.0763 (0.0793) loss_rec_sfr: 0.0974 (0.1136) loss_cl: -0.3679 (-0.3672) time: 0.8635 data: 0.0002 max mem: 29859 [19:26:08.214307] Epoch: [78] [500/850] eta: 0:05:05 lr: 0.002385 loss: 0.0409 (0.0433) loss_rec_all: 0.0767 (0.0792) loss_rec_sfr: 0.1355 (0.1139) loss_cl: -0.3675 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [19:26:25.556025] Epoch: [78] [520/850] eta: 0:04:48 lr: 0.002385 loss: 0.0404 (0.0432) loss_rec_all: 0.0761 (0.0791) loss_rec_sfr: 0.1141 (0.1139) loss_cl: -0.3679 (-0.3672) time: 0.8670 data: 0.0002 max mem: 29859 [19:26:42.774879] Epoch: [78] [540/850] eta: 0:04:30 lr: 0.002385 loss: 0.0398 (0.0431) loss_rec_all: 0.0759 (0.0790) loss_rec_sfr: 0.1056 (0.1139) loss_cl: -0.3672 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [19:27:00.039023] Epoch: [78] [560/850] eta: 0:04:12 lr: 0.002385 loss: 0.0408 (0.0431) loss_rec_all: 0.0767 (0.0790) loss_rec_sfr: 0.0969 (0.1140) loss_cl: -0.3668 (-0.3672) time: 0.8632 data: 0.0002 max mem: 29859 [19:27:17.322876] Epoch: [78] [580/850] eta: 0:03:55 lr: 0.002385 loss: 0.0433 (0.0431) loss_rec_all: 0.0790 (0.0790) loss_rec_sfr: 0.1277 (0.1142) loss_cl: -0.3669 (-0.3672) time: 0.8641 data: 0.0002 max mem: 29859 [19:27:34.572120] Epoch: [78] [600/850] eta: 0:03:37 lr: 0.002385 loss: 0.0433 (0.0431) loss_rec_all: 0.0792 (0.0790) loss_rec_sfr: 0.0878 (0.1139) loss_cl: -0.3672 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [19:27:51.864224] Epoch: [78] [620/850] eta: 0:03:20 lr: 0.002385 loss: 0.0427 (0.0431) loss_rec_all: 0.0789 (0.0791) loss_rec_sfr: 0.1015 (0.1140) loss_cl: -0.3671 (-0.3672) time: 0.8646 data: 0.0002 max mem: 29859 [19:28:09.157973] Epoch: [78] [640/850] eta: 0:03:02 lr: 0.002385 loss: 0.0425 (0.0432) loss_rec_all: 0.0784 (0.0791) loss_rec_sfr: 0.1210 (0.1143) loss_cl: -0.3668 (-0.3671) time: 0.8646 data: 0.0002 max mem: 29859 [19:28:26.347286] Epoch: [78] [660/850] eta: 0:02:45 lr: 0.002385 loss: 0.0416 (0.0432) loss_rec_all: 0.0774 (0.0791) loss_rec_sfr: 0.0997 (0.1143) loss_cl: -0.3667 (-0.3671) time: 0.8594 data: 0.0002 max mem: 29859 [19:28:43.615581] Epoch: [78] [680/850] eta: 0:02:27 lr: 0.002385 loss: 0.0412 (0.0432) loss_rec_all: 0.0771 (0.0791) loss_rec_sfr: 0.1207 (0.1145) loss_cl: -0.3670 (-0.3671) time: 0.8633 data: 0.0002 max mem: 29859 [19:29:00.804835] Epoch: [78] [700/850] eta: 0:02:10 lr: 0.002385 loss: 0.0407 (0.0431) loss_rec_all: 0.0768 (0.0790) loss_rec_sfr: 0.0946 (0.1143) loss_cl: -0.3673 (-0.3671) time: 0.8594 data: 0.0002 max mem: 29859 [19:29:18.030405] Epoch: [78] [720/850] eta: 0:01:53 lr: 0.002385 loss: 0.0397 (0.0431) loss_rec_all: 0.0758 (0.0790) loss_rec_sfr: 0.0941 (0.1144) loss_cl: -0.3674 (-0.3671) time: 0.8612 data: 0.0002 max mem: 29859 [19:29:35.312123] Epoch: [78] [740/850] eta: 0:01:35 lr: 0.002385 loss: 0.0401 (0.0430) loss_rec_all: 0.0759 (0.0790) loss_rec_sfr: 0.0980 (0.1142) loss_cl: -0.3679 (-0.3672) time: 0.8640 data: 0.0002 max mem: 29859 [19:29:52.548086] Epoch: [78] [760/850] eta: 0:01:18 lr: 0.002385 loss: 0.0384 (0.0430) loss_rec_all: 0.0746 (0.0789) loss_rec_sfr: 0.0883 (0.1141) loss_cl: -0.3676 (-0.3672) time: 0.8618 data: 0.0001 max mem: 29859 [19:30:09.767261] Epoch: [78] [780/850] eta: 0:01:00 lr: 0.002385 loss: 0.0386 (0.0429) loss_rec_all: 0.0747 (0.0788) loss_rec_sfr: 0.0855 (0.1140) loss_cl: -0.3673 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [19:30:27.061959] Epoch: [78] [800/850] eta: 0:00:43 lr: 0.002384 loss: 0.0384 (0.0428) loss_rec_all: 0.0746 (0.0787) loss_rec_sfr: 0.0803 (0.1135) loss_cl: -0.3671 (-0.3672) time: 0.8647 data: 0.0002 max mem: 29859 [19:30:44.268051] Epoch: [78] [820/850] eta: 0:00:26 lr: 0.002384 loss: 0.0407 (0.0428) loss_rec_all: 0.0764 (0.0787) loss_rec_sfr: 0.1262 (0.1135) loss_cl: -0.3671 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [19:31:01.542862] Epoch: [78] [840/850] eta: 0:00:08 lr: 0.002384 loss: 0.0425 (0.0428) loss_rec_all: 0.0781 (0.0787) loss_rec_sfr: 0.1217 (0.1137) loss_cl: -0.3669 (-0.3672) time: 0.8637 data: 0.0005 max mem: 29859 [19:31:09.296579] Epoch: [78] [849/850] eta: 0:00:00 lr: 0.002384 loss: 0.0424 (0.0428) loss_rec_all: 0.0779 (0.0787) loss_rec_sfr: 0.1275 (0.1139) loss_cl: -0.3670 (-0.3672) time: 0.8641 data: 0.0005 max mem: 29859 [19:31:09.469496] Epoch: [78] Total time: 0:12:18 (0.8690 s / it) [19:31:09.471869] Averaged stats: lr: 0.002384 loss: 0.0424 (0.0428) loss_rec_all: 0.0779 (0.0787) loss_rec_sfr: 0.1275 (0.1135) loss_cl: -0.3670 (-0.3671) [19:31:09.484596] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [19:31:13.369563] Epoch: [79] [ 0/850] eta: 0:55:01 lr: 0.002384 loss: 0.0407 (0.0407) loss_rec_all: 0.0768 (0.0768) loss_rec_sfr: 0.0909 (0.0909) loss_cl: -0.3669 (-0.3669) time: 3.8842 data: 2.9468 max mem: 29859 [19:31:30.549372] Epoch: [79] [ 20/850] eta: 0:13:52 lr: 0.002384 loss: 0.0416 (0.0429) loss_rec_all: 0.0771 (0.0788) loss_rec_sfr: 0.0981 (0.1129) loss_cl: -0.3668 (-0.3667) time: 0.8589 data: 0.0002 max mem: 29859 [19:31:47.842255] Epoch: [79] [ 40/850] eta: 0:12:37 lr: 0.002384 loss: 0.0402 (0.0427) loss_rec_all: 0.0764 (0.0786) loss_rec_sfr: 0.0975 (0.1136) loss_cl: -0.3672 (-0.3670) time: 0.8646 data: 0.0002 max mem: 29859 [19:32:05.056063] Epoch: [79] [ 60/850] eta: 0:11:59 lr: 0.002384 loss: 0.0421 (0.0426) loss_rec_all: 0.0778 (0.0785) loss_rec_sfr: 0.0958 (0.1149) loss_cl: -0.3672 (-0.3670) time: 0.8606 data: 0.0002 max mem: 29859 [19:32:22.294270] Epoch: [79] [ 80/850] eta: 0:11:32 lr: 0.002384 loss: 0.0420 (0.0425) loss_rec_all: 0.0779 (0.0784) loss_rec_sfr: 0.1242 (0.1162) loss_cl: -0.3670 (-0.3670) time: 0.8619 data: 0.0002 max mem: 29859 [19:32:39.556642] Epoch: [79] [100/850] eta: 0:11:08 lr: 0.002384 loss: 0.0411 (0.0424) loss_rec_all: 0.0768 (0.0783) loss_rec_sfr: 0.1190 (0.1171) loss_cl: -0.3667 (-0.3669) time: 0.8631 data: 0.0002 max mem: 29859 [19:32:56.793314] Epoch: [79] [120/850] eta: 0:10:47 lr: 0.002384 loss: 0.0386 (0.0419) loss_rec_all: 0.0743 (0.0778) loss_rec_sfr: 0.0835 (0.1147) loss_cl: -0.3676 (-0.3670) time: 0.8618 data: 0.0002 max mem: 29859 [19:33:13.998691] Epoch: [79] [140/850] eta: 0:10:26 lr: 0.002384 loss: 0.0391 (0.0417) loss_rec_all: 0.0751 (0.0776) loss_rec_sfr: 0.0906 (0.1127) loss_cl: -0.3671 (-0.3670) time: 0.8602 data: 0.0002 max mem: 29859 [19:33:31.297113] Epoch: [79] [160/850] eta: 0:10:07 lr: 0.002384 loss: 0.0398 (0.0416) loss_rec_all: 0.0758 (0.0775) loss_rec_sfr: 0.0904 (0.1122) loss_cl: -0.3670 (-0.3670) time: 0.8649 data: 0.0002 max mem: 29859 [19:33:48.500792] Epoch: [79] [180/850] eta: 0:09:48 lr: 0.002384 loss: 0.0384 (0.0413) loss_rec_all: 0.0739 (0.0772) loss_rec_sfr: 0.0903 (0.1116) loss_cl: -0.3666 (-0.3670) time: 0.8601 data: 0.0002 max mem: 29859 [19:34:05.771796] Epoch: [79] [200/850] eta: 0:09:30 lr: 0.002384 loss: 0.0389 (0.0412) loss_rec_all: 0.0750 (0.0771) loss_rec_sfr: 0.1156 (0.1118) loss_cl: -0.3669 (-0.3670) time: 0.8635 data: 0.0002 max mem: 29859 [19:34:23.024475] Epoch: [79] [220/850] eta: 0:09:11 lr: 0.002384 loss: 0.0425 (0.0413) loss_rec_all: 0.0783 (0.0773) loss_rec_sfr: 0.1273 (0.1128) loss_cl: -0.3674 (-0.3670) time: 0.8626 data: 0.0002 max mem: 29859 [19:34:40.268729] Epoch: [79] [240/850] eta: 0:08:53 lr: 0.002384 loss: 0.0426 (0.0415) loss_rec_all: 0.0781 (0.0774) loss_rec_sfr: 0.0913 (0.1128) loss_cl: -0.3676 (-0.3670) time: 0.8622 data: 0.0001 max mem: 29859 [19:34:57.511969] Epoch: [79] [260/850] eta: 0:08:35 lr: 0.002384 loss: 0.0388 (0.0413) loss_rec_all: 0.0750 (0.0773) loss_rec_sfr: 0.0914 (0.1126) loss_cl: -0.3676 (-0.3671) time: 0.8621 data: 0.0002 max mem: 29859 [19:35:14.757106] Epoch: [79] [280/850] eta: 0:08:17 lr: 0.002384 loss: 0.0411 (0.0414) loss_rec_all: 0.0768 (0.0773) loss_rec_sfr: 0.1273 (0.1132) loss_cl: -0.3673 (-0.3671) time: 0.8622 data: 0.0002 max mem: 29859 [19:35:31.980903] Epoch: [79] [300/850] eta: 0:07:59 lr: 0.002384 loss: 0.0387 (0.0413) loss_rec_all: 0.0748 (0.0772) loss_rec_sfr: 0.0797 (0.1126) loss_cl: -0.3670 (-0.3671) time: 0.8611 data: 0.0002 max mem: 29859 [19:35:49.273789] Epoch: [79] [320/850] eta: 0:07:41 lr: 0.002384 loss: 0.0427 (0.0414) loss_rec_all: 0.0784 (0.0773) loss_rec_sfr: 0.1025 (0.1127) loss_cl: -0.3671 (-0.3671) time: 0.8646 data: 0.0002 max mem: 29859 [19:36:06.478388] Epoch: [79] [340/850] eta: 0:07:24 lr: 0.002384 loss: 0.0406 (0.0414) loss_rec_all: 0.0767 (0.0773) loss_rec_sfr: 0.1016 (0.1127) loss_cl: -0.3675 (-0.3671) time: 0.8602 data: 0.0002 max mem: 29859 [19:36:23.740967] Epoch: [79] [360/850] eta: 0:07:06 lr: 0.002384 loss: 0.0411 (0.0415) loss_rec_all: 0.0772 (0.0774) loss_rec_sfr: 0.1373 (0.1139) loss_cl: -0.3668 (-0.3671) time: 0.8631 data: 0.0002 max mem: 29859 [19:36:40.957773] Epoch: [79] [380/850] eta: 0:06:48 lr: 0.002384 loss: 0.0416 (0.0416) loss_rec_all: 0.0775 (0.0775) loss_rec_sfr: 0.1218 (0.1143) loss_cl: -0.3668 (-0.3671) time: 0.8608 data: 0.0002 max mem: 29859 [19:36:58.207612] Epoch: [79] [400/850] eta: 0:06:31 lr: 0.002384 loss: 0.0412 (0.0416) loss_rec_all: 0.0769 (0.0775) loss_rec_sfr: 0.1098 (0.1144) loss_cl: -0.3665 (-0.3671) time: 0.8624 data: 0.0002 max mem: 29859 [19:37:15.465555] Epoch: [79] [420/850] eta: 0:06:13 lr: 0.002384 loss: 0.0412 (0.0417) loss_rec_all: 0.0773 (0.0776) loss_rec_sfr: 0.1031 (0.1142) loss_cl: -0.3673 (-0.3671) time: 0.8628 data: 0.0002 max mem: 29859 [19:37:32.707637] Epoch: [79] [440/850] eta: 0:05:56 lr: 0.002384 loss: 0.0398 (0.0416) loss_rec_all: 0.0759 (0.0775) loss_rec_sfr: 0.0803 (0.1135) loss_cl: -0.3672 (-0.3671) time: 0.8621 data: 0.0002 max mem: 29859 [19:37:49.928360] Epoch: [79] [460/850] eta: 0:05:38 lr: 0.002384 loss: 0.0384 (0.0416) loss_rec_all: 0.0744 (0.0775) loss_rec_sfr: 0.1135 (0.1135) loss_cl: -0.3674 (-0.3671) time: 0.8610 data: 0.0002 max mem: 29859 [19:38:07.200806] Epoch: [79] [480/850] eta: 0:05:21 lr: 0.002384 loss: 0.0402 (0.0416) loss_rec_all: 0.0762 (0.0775) loss_rec_sfr: 0.1207 (0.1138) loss_cl: -0.3674 (-0.3671) time: 0.8636 data: 0.0002 max mem: 29859 [19:38:24.407366] Epoch: [79] [500/850] eta: 0:05:03 lr: 0.002384 loss: 0.0395 (0.0415) loss_rec_all: 0.0756 (0.0775) loss_rec_sfr: 0.0782 (0.1133) loss_cl: -0.3678 (-0.3671) time: 0.8603 data: 0.0002 max mem: 29859 [19:38:41.707316] Epoch: [79] [520/850] eta: 0:04:46 lr: 0.002384 loss: 0.0398 (0.0415) loss_rec_all: 0.0756 (0.0774) loss_rec_sfr: 0.0982 (0.1132) loss_cl: -0.3673 (-0.3671) time: 0.8649 data: 0.0002 max mem: 29859 [19:38:58.928622] Epoch: [79] [540/850] eta: 0:04:28 lr: 0.002384 loss: 0.0526 (0.0420) loss_rec_all: 0.0885 (0.0780) loss_rec_sfr: 0.1365 (0.1141) loss_cl: -0.3672 (-0.3672) time: 0.8610 data: 0.0002 max mem: 29859 [19:39:16.175174] Epoch: [79] [560/850] eta: 0:04:11 lr: 0.002384 loss: 0.0510 (0.0425) loss_rec_all: 0.0866 (0.0784) loss_rec_sfr: 0.1039 (0.1145) loss_cl: -0.3673 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [19:39:33.443383] Epoch: [79] [580/850] eta: 0:03:54 lr: 0.002384 loss: 0.0504 (0.0428) loss_rec_all: 0.0859 (0.0787) loss_rec_sfr: 0.1483 (0.1153) loss_cl: -0.3668 (-0.3671) time: 0.8634 data: 0.0003 max mem: 29859 [19:39:50.677392] Epoch: [79] [600/850] eta: 0:03:36 lr: 0.002384 loss: 0.0488 (0.0431) loss_rec_all: 0.0848 (0.0790) loss_rec_sfr: 0.1296 (0.1156) loss_cl: -0.3669 (-0.3671) time: 0.8617 data: 0.0002 max mem: 29859 [19:40:07.901659] Epoch: [79] [620/850] eta: 0:03:19 lr: 0.002384 loss: 0.0467 (0.0432) loss_rec_all: 0.0822 (0.0791) loss_rec_sfr: 0.1282 (0.1159) loss_cl: -0.3668 (-0.3671) time: 0.8612 data: 0.0002 max mem: 29859 [19:40:25.157031] Epoch: [79] [640/850] eta: 0:03:02 lr: 0.002384 loss: 0.0447 (0.0433) loss_rec_all: 0.0807 (0.0792) loss_rec_sfr: 0.1307 (0.1163) loss_cl: -0.3669 (-0.3671) time: 0.8627 data: 0.0002 max mem: 29859 [19:40:42.369792] Epoch: [79] [660/850] eta: 0:02:44 lr: 0.002384 loss: 0.0424 (0.0433) loss_rec_all: 0.0784 (0.0792) loss_rec_sfr: 0.1067 (0.1162) loss_cl: -0.3667 (-0.3671) time: 0.8606 data: 0.0002 max mem: 29859 [19:40:59.657943] Epoch: [79] [680/850] eta: 0:02:27 lr: 0.002384 loss: 0.0426 (0.0433) loss_rec_all: 0.0783 (0.0792) loss_rec_sfr: 0.1259 (0.1164) loss_cl: -0.3671 (-0.3671) time: 0.8644 data: 0.0002 max mem: 29859 [19:41:16.864316] Epoch: [79] [700/850] eta: 0:02:09 lr: 0.002384 loss: 0.0423 (0.0433) loss_rec_all: 0.0780 (0.0792) loss_rec_sfr: 0.1201 (0.1164) loss_cl: -0.3673 (-0.3671) time: 0.8603 data: 0.0002 max mem: 29859 [19:41:34.136731] Epoch: [79] [720/850] eta: 0:01:52 lr: 0.002384 loss: 0.0429 (0.0434) loss_rec_all: 0.0790 (0.0793) loss_rec_sfr: 0.1253 (0.1164) loss_cl: -0.3676 (-0.3671) time: 0.8636 data: 0.0002 max mem: 29859 [19:41:51.381923] Epoch: [79] [740/850] eta: 0:01:35 lr: 0.002384 loss: 0.0407 (0.0434) loss_rec_all: 0.0765 (0.0793) loss_rec_sfr: 0.0918 (0.1163) loss_cl: -0.3676 (-0.3671) time: 0.8622 data: 0.0002 max mem: 29859 [19:42:08.639387] Epoch: [79] [760/850] eta: 0:01:17 lr: 0.002384 loss: 0.0397 (0.0433) loss_rec_all: 0.0760 (0.0792) loss_rec_sfr: 0.1006 (0.1161) loss_cl: -0.3674 (-0.3671) time: 0.8628 data: 0.0002 max mem: 29859 [19:42:25.878293] Epoch: [79] [780/850] eta: 0:01:00 lr: 0.002384 loss: 0.0410 (0.0432) loss_rec_all: 0.0768 (0.0791) loss_rec_sfr: 0.1236 (0.1162) loss_cl: -0.3671 (-0.3671) time: 0.8619 data: 0.0002 max mem: 29859 [19:42:43.112504] Epoch: [79] [800/850] eta: 0:00:43 lr: 0.002384 loss: 0.0401 (0.0432) loss_rec_all: 0.0764 (0.0791) loss_rec_sfr: 0.0923 (0.1159) loss_cl: -0.3672 (-0.3671) time: 0.8617 data: 0.0001 max mem: 29859 [19:43:00.341874] Epoch: [79] [820/850] eta: 0:00:25 lr: 0.002384 loss: 0.0413 (0.0432) loss_rec_all: 0.0775 (0.0791) loss_rec_sfr: 0.1251 (0.1158) loss_cl: -0.3676 (-0.3671) time: 0.8614 data: 0.0002 max mem: 29859 [19:43:17.624875] Epoch: [79] [840/850] eta: 0:00:08 lr: 0.002384 loss: 0.0400 (0.0432) loss_rec_all: 0.0760 (0.0791) loss_rec_sfr: 0.0808 (0.1155) loss_cl: -0.3672 (-0.3671) time: 0.8641 data: 0.0004 max mem: 29859 [19:43:25.366421] Epoch: [79] [849/850] eta: 0:00:00 lr: 0.002384 loss: 0.0429 (0.0432) loss_rec_all: 0.0787 (0.0791) loss_rec_sfr: 0.1231 (0.1155) loss_cl: -0.3671 (-0.3671) time: 0.8618 data: 0.0004 max mem: 29859 [19:43:25.489902] Epoch: [79] Total time: 0:12:16 (0.8659 s / it) [19:43:25.514471] Averaged stats: lr: 0.002384 loss: 0.0429 (0.0431) loss_rec_all: 0.0787 (0.0790) loss_rec_sfr: 0.1231 (0.1154) loss_cl: -0.3671 (-0.3671) [19:43:25.521092] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [19:43:29.819522] Epoch: [80] [ 0/850] eta: 1:00:52 lr: 0.002384 loss: 0.0433 (0.0433) loss_rec_all: 0.0790 (0.0790) loss_rec_sfr: 0.1371 (0.1371) loss_cl: -0.3667 (-0.3667) time: 4.2971 data: 2.2829 max mem: 29859 [19:43:47.241614] Epoch: [80] [ 20/850] eta: 0:14:18 lr: 0.002384 loss: 0.0430 (0.0426) loss_rec_all: 0.0786 (0.0785) loss_rec_sfr: 0.1218 (0.1213) loss_cl: -0.3674 (-0.3673) time: 0.8710 data: 0.0105 max mem: 29859 [19:44:04.508110] Epoch: [80] [ 40/850] eta: 0:12:50 lr: 0.002384 loss: 0.0393 (0.0416) loss_rec_all: 0.0751 (0.0775) loss_rec_sfr: 0.1005 (0.1153) loss_cl: -0.3674 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [19:44:21.702982] Epoch: [80] [ 60/850] eta: 0:12:07 lr: 0.002384 loss: 0.0394 (0.0410) loss_rec_all: 0.0755 (0.0769) loss_rec_sfr: 0.1134 (0.1140) loss_cl: -0.3668 (-0.3672) time: 0.8597 data: 0.0002 max mem: 29859 [19:44:39.014214] Epoch: [80] [ 80/850] eta: 0:11:38 lr: 0.002384 loss: 0.0401 (0.0413) loss_rec_all: 0.0758 (0.0772) loss_rec_sfr: 0.1191 (0.1155) loss_cl: -0.3668 (-0.3671) time: 0.8655 data: 0.0003 max mem: 29859 [19:44:56.215772] Epoch: [80] [100/850] eta: 0:11:13 lr: 0.002384 loss: 0.0400 (0.0413) loss_rec_all: 0.0756 (0.0772) loss_rec_sfr: 0.1176 (0.1162) loss_cl: -0.3666 (-0.3670) time: 0.8600 data: 0.0002 max mem: 29859 [19:45:13.457353] Epoch: [80] [120/850] eta: 0:10:51 lr: 0.002384 loss: 0.0397 (0.0412) loss_rec_all: 0.0756 (0.0771) loss_rec_sfr: 0.1163 (0.1163) loss_cl: -0.3676 (-0.3671) time: 0.8620 data: 0.0002 max mem: 29859 [19:45:30.729302] Epoch: [80] [140/850] eta: 0:10:30 lr: 0.002384 loss: 0.0388 (0.0410) loss_rec_all: 0.0747 (0.0769) loss_rec_sfr: 0.1154 (0.1157) loss_cl: -0.3678 (-0.3672) time: 0.8635 data: 0.0002 max mem: 29859 [19:45:47.976987] Epoch: [80] [160/850] eta: 0:10:10 lr: 0.002383 loss: 0.0376 (0.0408) loss_rec_all: 0.0738 (0.0767) loss_rec_sfr: 0.0963 (0.1143) loss_cl: -0.3676 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [19:46:05.202440] Epoch: [80] [180/850] eta: 0:09:51 lr: 0.002383 loss: 0.0389 (0.0406) loss_rec_all: 0.0746 (0.0766) loss_rec_sfr: 0.1244 (0.1154) loss_cl: -0.3676 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [19:46:22.493378] Epoch: [80] [200/850] eta: 0:09:32 lr: 0.002383 loss: 0.0400 (0.0406) loss_rec_all: 0.0762 (0.0766) loss_rec_sfr: 0.0940 (0.1149) loss_cl: -0.3672 (-0.3672) time: 0.8645 data: 0.0002 max mem: 29859 [19:46:39.706421] Epoch: [80] [220/850] eta: 0:09:13 lr: 0.002383 loss: 0.0403 (0.0408) loss_rec_all: 0.0759 (0.0767) loss_rec_sfr: 0.0925 (0.1145) loss_cl: -0.3666 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [19:46:56.993799] Epoch: [80] [240/850] eta: 0:08:55 lr: 0.002383 loss: 0.0381 (0.0406) loss_rec_all: 0.0740 (0.0766) loss_rec_sfr: 0.0911 (0.1141) loss_cl: -0.3667 (-0.3671) time: 0.8643 data: 0.0002 max mem: 29859 [19:47:14.224606] Epoch: [80] [260/850] eta: 0:08:36 lr: 0.002383 loss: 0.0408 (0.0407) loss_rec_all: 0.0767 (0.0766) loss_rec_sfr: 0.1004 (0.1140) loss_cl: -0.3664 (-0.3671) time: 0.8615 data: 0.0002 max mem: 29859 [19:47:31.487029] Epoch: [80] [280/850] eta: 0:08:18 lr: 0.002383 loss: 0.0406 (0.0408) loss_rec_all: 0.0767 (0.0767) loss_rec_sfr: 0.1019 (0.1137) loss_cl: -0.3672 (-0.3671) time: 0.8631 data: 0.0002 max mem: 29859 [19:47:48.753554] Epoch: [80] [300/850] eta: 0:08:00 lr: 0.002383 loss: 0.0418 (0.0409) loss_rec_all: 0.0779 (0.0769) loss_rec_sfr: 0.1152 (0.1142) loss_cl: -0.3679 (-0.3671) time: 0.8633 data: 0.0002 max mem: 29859 [19:48:06.001582] Epoch: [80] [320/850] eta: 0:07:43 lr: 0.002383 loss: 0.0426 (0.0413) loss_rec_all: 0.0789 (0.0772) loss_rec_sfr: 0.1321 (0.1150) loss_cl: -0.3677 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [19:48:23.213462] Epoch: [80] [340/850] eta: 0:07:25 lr: 0.002383 loss: 0.0450 (0.0415) loss_rec_all: 0.0804 (0.0774) loss_rec_sfr: 0.1306 (0.1161) loss_cl: -0.3673 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [19:48:40.511222] Epoch: [80] [360/850] eta: 0:07:07 lr: 0.002383 loss: 0.0414 (0.0415) loss_rec_all: 0.0771 (0.0774) loss_rec_sfr: 0.1243 (0.1165) loss_cl: -0.3674 (-0.3672) time: 0.8648 data: 0.0002 max mem: 29859 [19:48:57.721727] Epoch: [80] [380/850] eta: 0:06:49 lr: 0.002383 loss: 0.0421 (0.0416) loss_rec_all: 0.0779 (0.0775) loss_rec_sfr: 0.1065 (0.1167) loss_cl: -0.3671 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [19:49:14.989029] Epoch: [80] [400/850] eta: 0:06:32 lr: 0.002383 loss: 0.0418 (0.0417) loss_rec_all: 0.0777 (0.0776) loss_rec_sfr: 0.1162 (0.1167) loss_cl: -0.3676 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [19:49:32.223126] Epoch: [80] [420/850] eta: 0:06:14 lr: 0.002383 loss: 0.0406 (0.0417) loss_rec_all: 0.0763 (0.0776) loss_rec_sfr: 0.1034 (0.1165) loss_cl: -0.3673 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [19:49:49.473634] Epoch: [80] [440/850] eta: 0:05:56 lr: 0.002383 loss: 0.0423 (0.0418) loss_rec_all: 0.0780 (0.0777) loss_rec_sfr: 0.1183 (0.1163) loss_cl: -0.3672 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [19:50:06.726744] Epoch: [80] [460/850] eta: 0:05:39 lr: 0.002383 loss: 0.0407 (0.0418) loss_rec_all: 0.0765 (0.0777) loss_rec_sfr: 0.1217 (0.1165) loss_cl: -0.3670 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [19:50:23.975351] Epoch: [80] [480/850] eta: 0:05:21 lr: 0.002383 loss: 0.0397 (0.0419) loss_rec_all: 0.0758 (0.0778) loss_rec_sfr: 0.1144 (0.1161) loss_cl: -0.3673 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [19:50:41.185091] Epoch: [80] [500/850] eta: 0:05:04 lr: 0.002383 loss: 0.0398 (0.0418) loss_rec_all: 0.0756 (0.0777) loss_rec_sfr: 0.0939 (0.1158) loss_cl: -0.3671 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [19:50:58.478151] Epoch: [80] [520/850] eta: 0:04:46 lr: 0.002383 loss: 0.0408 (0.0418) loss_rec_all: 0.0766 (0.0777) loss_rec_sfr: 0.1215 (0.1161) loss_cl: -0.3670 (-0.3672) time: 0.8646 data: 0.0002 max mem: 29859 [19:51:15.688560] Epoch: [80] [540/850] eta: 0:04:29 lr: 0.002383 loss: 0.0386 (0.0417) loss_rec_all: 0.0744 (0.0776) loss_rec_sfr: 0.1151 (0.1160) loss_cl: -0.3670 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [19:51:32.970101] Epoch: [80] [560/850] eta: 0:04:11 lr: 0.002383 loss: 0.0389 (0.0417) loss_rec_all: 0.0746 (0.0776) loss_rec_sfr: 0.1193 (0.1160) loss_cl: -0.3669 (-0.3672) time: 0.8640 data: 0.0002 max mem: 29859 [19:51:50.200161] Epoch: [80] [580/850] eta: 0:03:54 lr: 0.002383 loss: 0.0384 (0.0416) loss_rec_all: 0.0743 (0.0775) loss_rec_sfr: 0.0919 (0.1157) loss_cl: -0.3672 (-0.3672) time: 0.8614 data: 0.0002 max mem: 29859 [19:52:07.440349] Epoch: [80] [600/850] eta: 0:03:37 lr: 0.002383 loss: 0.0400 (0.0416) loss_rec_all: 0.0762 (0.0775) loss_rec_sfr: 0.1173 (0.1155) loss_cl: -0.3675 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [19:52:24.707389] Epoch: [80] [620/850] eta: 0:03:19 lr: 0.002383 loss: 0.0421 (0.0416) loss_rec_all: 0.0783 (0.0775) loss_rec_sfr: 0.1199 (0.1155) loss_cl: -0.3675 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [19:52:41.945573] Epoch: [80] [640/850] eta: 0:03:02 lr: 0.002383 loss: 0.0402 (0.0416) loss_rec_all: 0.0764 (0.0776) loss_rec_sfr: 0.1055 (0.1154) loss_cl: -0.3671 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [19:52:59.134093] Epoch: [80] [660/850] eta: 0:02:44 lr: 0.002383 loss: 0.0401 (0.0416) loss_rec_all: 0.0758 (0.0775) loss_rec_sfr: 0.1149 (0.1156) loss_cl: -0.3666 (-0.3672) time: 0.8594 data: 0.0002 max mem: 29859 [19:53:16.365339] Epoch: [80] [680/850] eta: 0:02:27 lr: 0.002383 loss: 0.0421 (0.0416) loss_rec_all: 0.0782 (0.0775) loss_rec_sfr: 0.1325 (0.1160) loss_cl: -0.3671 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [19:53:33.545213] Epoch: [80] [700/850] eta: 0:02:10 lr: 0.002383 loss: 0.0402 (0.0416) loss_rec_all: 0.0759 (0.0775) loss_rec_sfr: 0.1192 (0.1159) loss_cl: -0.3673 (-0.3672) time: 0.8589 data: 0.0002 max mem: 29859 [19:53:50.786769] Epoch: [80] [720/850] eta: 0:01:52 lr: 0.002383 loss: 0.0422 (0.0416) loss_rec_all: 0.0780 (0.0775) loss_rec_sfr: 0.1216 (0.1160) loss_cl: -0.3666 (-0.3671) time: 0.8620 data: 0.0002 max mem: 29859 [19:54:07.965105] Epoch: [80] [740/850] eta: 0:01:35 lr: 0.002383 loss: 0.0402 (0.0416) loss_rec_all: 0.0759 (0.0775) loss_rec_sfr: 0.0975 (0.1161) loss_cl: -0.3670 (-0.3671) time: 0.8589 data: 0.0002 max mem: 29859 [19:54:25.182412] Epoch: [80] [760/850] eta: 0:01:18 lr: 0.002383 loss: 0.0407 (0.0416) loss_rec_all: 0.0764 (0.0775) loss_rec_sfr: 0.1193 (0.1161) loss_cl: -0.3668 (-0.3671) time: 0.8608 data: 0.0002 max mem: 29859 [19:54:42.383904] Epoch: [80] [780/850] eta: 0:01:00 lr: 0.002383 loss: 0.0385 (0.0415) loss_rec_all: 0.0746 (0.0774) loss_rec_sfr: 0.0950 (0.1161) loss_cl: -0.3676 (-0.3671) time: 0.8600 data: 0.0002 max mem: 29859 [19:54:59.610814] Epoch: [80] [800/850] eta: 0:00:43 lr: 0.002383 loss: 0.0381 (0.0415) loss_rec_all: 0.0742 (0.0774) loss_rec_sfr: 0.1085 (0.1161) loss_cl: -0.3675 (-0.3671) time: 0.8613 data: 0.0002 max mem: 29859 [19:55:16.804415] Epoch: [80] [820/850] eta: 0:00:25 lr: 0.002383 loss: 0.0393 (0.0414) loss_rec_all: 0.0751 (0.0773) loss_rec_sfr: 0.1177 (0.1161) loss_cl: -0.3671 (-0.3672) time: 0.8596 data: 0.0002 max mem: 29859 [19:55:34.015274] Epoch: [80] [840/850] eta: 0:00:08 lr: 0.002383 loss: 0.0387 (0.0414) loss_rec_all: 0.0747 (0.0773) loss_rec_sfr: 0.0934 (0.1159) loss_cl: -0.3667 (-0.3671) time: 0.8605 data: 0.0004 max mem: 29859 [19:55:41.744456] Epoch: [80] [849/850] eta: 0:00:00 lr: 0.002383 loss: 0.0383 (0.0414) loss_rec_all: 0.0744 (0.0773) loss_rec_sfr: 0.0897 (0.1157) loss_cl: -0.3672 (-0.3671) time: 0.8604 data: 0.0004 max mem: 29859 [19:55:41.880791] Epoch: [80] Total time: 0:12:16 (0.8663 s / it) [19:55:41.883222] Averaged stats: lr: 0.002383 loss: 0.0383 (0.0412) loss_rec_all: 0.0744 (0.0772) loss_rec_sfr: 0.0897 (0.1143) loss_cl: -0.3672 (-0.3671) [19:55:41.895940] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [19:55:46.209656] Epoch: [81] [ 0/850] eta: 1:01:06 lr: 0.002383 loss: 0.0340 (0.0340) loss_rec_all: 0.0702 (0.0702) loss_rec_sfr: 0.0860 (0.0860) loss_cl: -0.3680 (-0.3680) time: 4.3130 data: 3.4597 max mem: 29859 [19:56:03.440880] Epoch: [81] [ 20/850] eta: 0:14:11 lr: 0.002383 loss: 0.0375 (0.0392) loss_rec_all: 0.0736 (0.0752) loss_rec_sfr: 0.1144 (0.1048) loss_cl: -0.3673 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [19:56:20.664905] Epoch: [81] [ 40/850] eta: 0:12:45 lr: 0.002383 loss: 0.0399 (0.0401) loss_rec_all: 0.0760 (0.0761) loss_rec_sfr: 0.1020 (0.1067) loss_cl: -0.3680 (-0.3676) time: 0.8612 data: 0.0002 max mem: 29859 [19:56:37.846873] Epoch: [81] [ 60/850] eta: 0:12:04 lr: 0.002383 loss: 0.0459 (0.0422) loss_rec_all: 0.0811 (0.0781) loss_rec_sfr: 0.1302 (0.1146) loss_cl: -0.3671 (-0.3674) time: 0.8590 data: 0.0002 max mem: 29859 [19:56:55.120450] Epoch: [81] [ 80/850] eta: 0:11:36 lr: 0.002383 loss: 0.0431 (0.0429) loss_rec_all: 0.0789 (0.0789) loss_rec_sfr: 0.1227 (0.1143) loss_cl: -0.3666 (-0.3672) time: 0.8636 data: 0.0002 max mem: 29859 [19:57:12.309889] Epoch: [81] [100/850] eta: 0:11:11 lr: 0.002383 loss: 0.0421 (0.0428) loss_rec_all: 0.0777 (0.0787) loss_rec_sfr: 0.0893 (0.1135) loss_cl: -0.3662 (-0.3670) time: 0.8594 data: 0.0002 max mem: 29859 [19:57:29.559689] Epoch: [81] [120/850] eta: 0:10:49 lr: 0.002383 loss: 0.0410 (0.0426) loss_rec_all: 0.0766 (0.0785) loss_rec_sfr: 0.0928 (0.1130) loss_cl: -0.3665 (-0.3669) time: 0.8624 data: 0.0002 max mem: 29859 [19:57:46.782064] Epoch: [81] [140/850] eta: 0:10:28 lr: 0.002383 loss: 0.0397 (0.0424) loss_rec_all: 0.0756 (0.0783) loss_rec_sfr: 0.0843 (0.1116) loss_cl: -0.3668 (-0.3669) time: 0.8611 data: 0.0002 max mem: 29859 [19:58:04.015298] Epoch: [81] [160/850] eta: 0:10:09 lr: 0.002383 loss: 0.0389 (0.0423) loss_rec_all: 0.0748 (0.0782) loss_rec_sfr: 0.1164 (0.1120) loss_cl: -0.3673 (-0.3669) time: 0.8616 data: 0.0002 max mem: 29859 [19:58:21.281343] Epoch: [81] [180/850] eta: 0:09:49 lr: 0.002383 loss: 0.0382 (0.0419) loss_rec_all: 0.0745 (0.0779) loss_rec_sfr: 0.0956 (0.1117) loss_cl: -0.3679 (-0.3670) time: 0.8632 data: 0.0003 max mem: 29859 [19:58:38.516600] Epoch: [81] [200/850] eta: 0:09:31 lr: 0.002383 loss: 0.0393 (0.0418) loss_rec_all: 0.0753 (0.0777) loss_rec_sfr: 0.0888 (0.1108) loss_cl: -0.3676 (-0.3671) time: 0.8617 data: 0.0002 max mem: 29859 [19:58:55.714962] Epoch: [81] [220/850] eta: 0:09:12 lr: 0.002383 loss: 0.0391 (0.0416) loss_rec_all: 0.0752 (0.0776) loss_rec_sfr: 0.0934 (0.1111) loss_cl: -0.3678 (-0.3671) time: 0.8599 data: 0.0002 max mem: 29859 [19:59:13.022863] Epoch: [81] [240/850] eta: 0:08:54 lr: 0.002383 loss: 0.0395 (0.0416) loss_rec_all: 0.0755 (0.0775) loss_rec_sfr: 0.1154 (0.1118) loss_cl: -0.3668 (-0.3671) time: 0.8653 data: 0.0002 max mem: 29859 [19:59:30.223761] Epoch: [81] [260/850] eta: 0:08:36 lr: 0.002383 loss: 0.0395 (0.0414) loss_rec_all: 0.0752 (0.0773) loss_rec_sfr: 0.1158 (0.1121) loss_cl: -0.3669 (-0.3671) time: 0.8600 data: 0.0002 max mem: 29859 [19:59:47.495858] Epoch: [81] [280/850] eta: 0:08:18 lr: 0.002383 loss: 0.0380 (0.0412) loss_rec_all: 0.0737 (0.0772) loss_rec_sfr: 0.0943 (0.1123) loss_cl: -0.3676 (-0.3671) time: 0.8635 data: 0.0002 max mem: 29859 [20:00:04.706243] Epoch: [81] [300/850] eta: 0:08:00 lr: 0.002383 loss: 0.0412 (0.0413) loss_rec_all: 0.0769 (0.0772) loss_rec_sfr: 0.1216 (0.1128) loss_cl: -0.3682 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [20:00:21.944717] Epoch: [81] [320/850] eta: 0:07:42 lr: 0.002382 loss: 0.0372 (0.0411) loss_rec_all: 0.0731 (0.0770) loss_rec_sfr: 0.0884 (0.1122) loss_cl: -0.3678 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [20:00:39.190426] Epoch: [81] [340/850] eta: 0:07:24 lr: 0.002382 loss: 0.0386 (0.0411) loss_rec_all: 0.0746 (0.0770) loss_rec_sfr: 0.1221 (0.1126) loss_cl: -0.3673 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [20:00:56.420556] Epoch: [81] [360/850] eta: 0:07:06 lr: 0.002382 loss: 0.0400 (0.0411) loss_rec_all: 0.0761 (0.0770) loss_rec_sfr: 0.0925 (0.1125) loss_cl: -0.3674 (-0.3672) time: 0.8615 data: 0.0001 max mem: 29859 [20:01:13.639519] Epoch: [81] [380/850] eta: 0:06:49 lr: 0.002382 loss: 0.0418 (0.0412) loss_rec_all: 0.0774 (0.0771) loss_rec_sfr: 0.1216 (0.1127) loss_cl: -0.3664 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [20:01:30.911227] Epoch: [81] [400/850] eta: 0:06:31 lr: 0.002382 loss: 0.0436 (0.0414) loss_rec_all: 0.0795 (0.0773) loss_rec_sfr: 0.0992 (0.1126) loss_cl: -0.3668 (-0.3671) time: 0.8635 data: 0.0002 max mem: 29859 [20:01:48.105058] Epoch: [81] [420/850] eta: 0:06:14 lr: 0.002382 loss: 0.0415 (0.0414) loss_rec_all: 0.0777 (0.0774) loss_rec_sfr: 0.0987 (0.1126) loss_cl: -0.3674 (-0.3672) time: 0.8596 data: 0.0002 max mem: 29859 [20:02:05.394953] Epoch: [81] [440/850] eta: 0:05:56 lr: 0.002382 loss: 0.0391 (0.0414) loss_rec_all: 0.0752 (0.0773) loss_rec_sfr: 0.0888 (0.1124) loss_cl: -0.3667 (-0.3671) time: 0.8644 data: 0.0002 max mem: 29859 [20:02:22.592061] Epoch: [81] [460/850] eta: 0:05:38 lr: 0.002382 loss: 0.0401 (0.0413) loss_rec_all: 0.0762 (0.0773) loss_rec_sfr: 0.0907 (0.1124) loss_cl: -0.3664 (-0.3671) time: 0.8598 data: 0.0002 max mem: 29859 [20:02:39.845751] Epoch: [81] [480/850] eta: 0:05:21 lr: 0.002382 loss: 0.0384 (0.0413) loss_rec_all: 0.0742 (0.0772) loss_rec_sfr: 0.0881 (0.1120) loss_cl: -0.3668 (-0.3671) time: 0.8626 data: 0.0002 max mem: 29859 [20:02:57.063253] Epoch: [81] [500/850] eta: 0:05:03 lr: 0.002382 loss: 0.0402 (0.0412) loss_rec_all: 0.0760 (0.0772) loss_rec_sfr: 0.1146 (0.1121) loss_cl: -0.3672 (-0.3671) time: 0.8608 data: 0.0002 max mem: 29859 [20:03:14.288372] Epoch: [81] [520/850] eta: 0:04:46 lr: 0.002382 loss: 0.0388 (0.0412) loss_rec_all: 0.0750 (0.0771) loss_rec_sfr: 0.0898 (0.1119) loss_cl: -0.3671 (-0.3671) time: 0.8612 data: 0.0002 max mem: 29859 [20:03:31.539059] Epoch: [81] [540/850] eta: 0:04:29 lr: 0.002382 loss: 0.0371 (0.0411) loss_rec_all: 0.0733 (0.0770) loss_rec_sfr: 0.0852 (0.1115) loss_cl: -0.3675 (-0.3671) time: 0.8625 data: 0.0002 max mem: 29859 [20:03:48.764934] Epoch: [81] [560/850] eta: 0:04:11 lr: 0.002382 loss: 0.0379 (0.0410) loss_rec_all: 0.0739 (0.0769) loss_rec_sfr: 0.0800 (0.1110) loss_cl: -0.3669 (-0.3671) time: 0.8612 data: 0.0002 max mem: 29859 [20:04:05.979293] Epoch: [81] [580/850] eta: 0:03:54 lr: 0.002382 loss: 0.0403 (0.0410) loss_rec_all: 0.0765 (0.0770) loss_rec_sfr: 0.0860 (0.1108) loss_cl: -0.3669 (-0.3671) time: 0.8607 data: 0.0002 max mem: 29859 [20:04:23.223772] Epoch: [81] [600/850] eta: 0:03:36 lr: 0.002382 loss: 0.0432 (0.0411) loss_rec_all: 0.0793 (0.0771) loss_rec_sfr: 0.0911 (0.1103) loss_cl: -0.3670 (-0.3671) time: 0.8622 data: 0.0002 max mem: 29859 [20:04:40.420425] Epoch: [81] [620/850] eta: 0:03:19 lr: 0.002382 loss: 0.0445 (0.0413) loss_rec_all: 0.0806 (0.0772) loss_rec_sfr: 0.1387 (0.1106) loss_cl: -0.3670 (-0.3671) time: 0.8598 data: 0.0002 max mem: 29859 [20:04:57.699676] Epoch: [81] [640/850] eta: 0:03:02 lr: 0.002382 loss: 0.0435 (0.0415) loss_rec_all: 0.0792 (0.0774) loss_rec_sfr: 0.1359 (0.1111) loss_cl: -0.3672 (-0.3671) time: 0.8639 data: 0.0002 max mem: 29859 [20:05:14.895555] Epoch: [81] [660/850] eta: 0:02:44 lr: 0.002382 loss: 0.0469 (0.0417) loss_rec_all: 0.0828 (0.0776) loss_rec_sfr: 0.1340 (0.1116) loss_cl: -0.3670 (-0.3671) time: 0.8597 data: 0.0002 max mem: 29859 [20:05:32.178788] Epoch: [81] [680/850] eta: 0:02:27 lr: 0.002382 loss: 0.0443 (0.0418) loss_rec_all: 0.0799 (0.0777) loss_rec_sfr: 0.1303 (0.1118) loss_cl: -0.3673 (-0.3671) time: 0.8641 data: 0.0002 max mem: 29859 [20:05:49.378461] Epoch: [81] [700/850] eta: 0:02:09 lr: 0.002382 loss: 0.0413 (0.0419) loss_rec_all: 0.0771 (0.0778) loss_rec_sfr: 0.0937 (0.1118) loss_cl: -0.3675 (-0.3671) time: 0.8599 data: 0.0002 max mem: 29859 [20:06:06.604600] Epoch: [81] [720/850] eta: 0:01:52 lr: 0.002382 loss: 0.0408 (0.0419) loss_rec_all: 0.0764 (0.0778) loss_rec_sfr: 0.0887 (0.1115) loss_cl: -0.3669 (-0.3671) time: 0.8613 data: 0.0002 max mem: 29859 [20:06:23.848180] Epoch: [81] [740/850] eta: 0:01:35 lr: 0.002382 loss: 0.0399 (0.0419) loss_rec_all: 0.0761 (0.0778) loss_rec_sfr: 0.0790 (0.1113) loss_cl: -0.3680 (-0.3671) time: 0.8621 data: 0.0002 max mem: 29859 [20:06:41.078784] Epoch: [81] [760/850] eta: 0:01:17 lr: 0.002382 loss: 0.0396 (0.0419) loss_rec_all: 0.0754 (0.0778) loss_rec_sfr: 0.0983 (0.1112) loss_cl: -0.3672 (-0.3671) time: 0.8614 data: 0.0002 max mem: 29859 [20:06:58.294761] Epoch: [81] [780/850] eta: 0:01:00 lr: 0.002382 loss: 0.0391 (0.0418) loss_rec_all: 0.0753 (0.0777) loss_rec_sfr: 0.0950 (0.1109) loss_cl: -0.3675 (-0.3671) time: 0.8607 data: 0.0002 max mem: 29859 [20:07:15.541154] Epoch: [81] [800/850] eta: 0:00:43 lr: 0.002382 loss: 0.0386 (0.0418) loss_rec_all: 0.0747 (0.0777) loss_rec_sfr: 0.0934 (0.1108) loss_cl: -0.3677 (-0.3671) time: 0.8623 data: 0.0002 max mem: 29859 [20:07:32.727688] Epoch: [81] [820/850] eta: 0:00:25 lr: 0.002382 loss: 0.0397 (0.0417) loss_rec_all: 0.0759 (0.0777) loss_rec_sfr: 0.1176 (0.1109) loss_cl: -0.3669 (-0.3671) time: 0.8593 data: 0.0002 max mem: 29859 [20:07:50.006931] Epoch: [81] [840/850] eta: 0:00:08 lr: 0.002382 loss: 0.0386 (0.0417) loss_rec_all: 0.0745 (0.0776) loss_rec_sfr: 0.0882 (0.1107) loss_cl: -0.3671 (-0.3671) time: 0.8639 data: 0.0007 max mem: 29859 [20:07:57.736576] Epoch: [81] [849/850] eta: 0:00:00 lr: 0.002382 loss: 0.0387 (0.0417) loss_rec_all: 0.0748 (0.0776) loss_rec_sfr: 0.1106 (0.1107) loss_cl: -0.3673 (-0.3671) time: 0.8621 data: 0.0006 max mem: 29859 [20:07:57.888986] Epoch: [81] Total time: 0:12:15 (0.8659 s / it) [20:07:57.891417] Averaged stats: lr: 0.002382 loss: 0.0387 (0.0417) loss_rec_all: 0.0748 (0.0777) loss_rec_sfr: 0.1106 (0.1118) loss_cl: -0.3673 (-0.3671) [20:07:57.903139] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [20:08:02.150549] Epoch: [82] [ 0/850] eta: 1:00:09 lr: 0.002382 loss: 0.0423 (0.0423) loss_rec_all: 0.0780 (0.0780) loss_rec_sfr: 0.1602 (0.1602) loss_cl: -0.3682 (-0.3682) time: 4.2466 data: 3.0139 max mem: 29859 [20:08:19.308268] Epoch: [82] [ 20/850] eta: 0:14:05 lr: 0.002382 loss: 0.0366 (0.0378) loss_rec_all: 0.0728 (0.0738) loss_rec_sfr: 0.0785 (0.1028) loss_cl: -0.3677 (-0.3676) time: 0.8578 data: 0.0001 max mem: 29859 [20:08:36.567320] Epoch: [82] [ 40/850] eta: 0:12:43 lr: 0.002382 loss: 0.0382 (0.0387) loss_rec_all: 0.0740 (0.0748) loss_rec_sfr: 0.1142 (0.1067) loss_cl: -0.3677 (-0.3676) time: 0.8629 data: 0.0002 max mem: 29859 [20:08:53.749211] Epoch: [82] [ 60/850] eta: 0:12:03 lr: 0.002382 loss: 0.0373 (0.0386) loss_rec_all: 0.0730 (0.0746) loss_rec_sfr: 0.0899 (0.1057) loss_cl: -0.3671 (-0.3675) time: 0.8591 data: 0.0002 max mem: 29859 [20:09:10.994176] Epoch: [82] [ 80/850] eta: 0:11:34 lr: 0.002382 loss: 0.0382 (0.0388) loss_rec_all: 0.0743 (0.0747) loss_rec_sfr: 0.0927 (0.1066) loss_cl: -0.3665 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [20:09:28.185079] Epoch: [82] [100/850] eta: 0:11:10 lr: 0.002382 loss: 0.0407 (0.0394) loss_rec_all: 0.0766 (0.0753) loss_rec_sfr: 0.1313 (0.1104) loss_cl: -0.3667 (-0.3671) time: 0.8595 data: 0.0002 max mem: 29859 [20:09:45.418779] Epoch: [82] [120/850] eta: 0:10:48 lr: 0.002382 loss: 0.0367 (0.0391) loss_rec_all: 0.0729 (0.0751) loss_rec_sfr: 0.0767 (0.1097) loss_cl: -0.3668 (-0.3670) time: 0.8616 data: 0.0002 max mem: 29859 [20:10:02.649816] Epoch: [82] [140/850] eta: 0:10:28 lr: 0.002382 loss: 0.0384 (0.0391) loss_rec_all: 0.0740 (0.0751) loss_rec_sfr: 0.1336 (0.1121) loss_cl: -0.3671 (-0.3670) time: 0.8615 data: 0.0002 max mem: 29859 [20:10:19.887702] Epoch: [82] [160/850] eta: 0:10:08 lr: 0.002382 loss: 0.0398 (0.0394) loss_rec_all: 0.0759 (0.0753) loss_rec_sfr: 0.0968 (0.1125) loss_cl: -0.3672 (-0.3671) time: 0.8618 data: 0.0002 max mem: 29859 [20:10:37.103942] Epoch: [82] [180/850] eta: 0:09:49 lr: 0.002382 loss: 0.0431 (0.0398) loss_rec_all: 0.0786 (0.0757) loss_rec_sfr: 0.1436 (0.1140) loss_cl: -0.3669 (-0.3670) time: 0.8608 data: 0.0002 max mem: 29859 [20:10:54.342359] Epoch: [82] [200/850] eta: 0:09:30 lr: 0.002382 loss: 0.0405 (0.0399) loss_rec_all: 0.0763 (0.0758) loss_rec_sfr: 0.1423 (0.1159) loss_cl: -0.3671 (-0.3670) time: 0.8619 data: 0.0002 max mem: 29859 [20:11:11.545144] Epoch: [82] [220/850] eta: 0:09:11 lr: 0.002382 loss: 0.0410 (0.0401) loss_rec_all: 0.0770 (0.0760) loss_rec_sfr: 0.1136 (0.1163) loss_cl: -0.3669 (-0.3670) time: 0.8601 data: 0.0002 max mem: 29859 [20:11:28.823984] Epoch: [82] [240/850] eta: 0:08:53 lr: 0.002382 loss: 0.0402 (0.0401) loss_rec_all: 0.0758 (0.0760) loss_rec_sfr: 0.1053 (0.1158) loss_cl: -0.3666 (-0.3670) time: 0.8639 data: 0.0002 max mem: 29859 [20:11:46.018753] Epoch: [82] [260/850] eta: 0:08:35 lr: 0.002382 loss: 0.0395 (0.0401) loss_rec_all: 0.0755 (0.0760) loss_rec_sfr: 0.0987 (0.1155) loss_cl: -0.3668 (-0.3670) time: 0.8597 data: 0.0002 max mem: 29859 [20:12:03.295304] Epoch: [82] [280/850] eta: 0:08:17 lr: 0.002382 loss: 0.0404 (0.0402) loss_rec_all: 0.0761 (0.0761) loss_rec_sfr: 0.1204 (0.1161) loss_cl: -0.3672 (-0.3670) time: 0.8638 data: 0.0002 max mem: 29859 [20:12:20.501789] Epoch: [82] [300/850] eta: 0:07:59 lr: 0.002382 loss: 0.0396 (0.0403) loss_rec_all: 0.0753 (0.0762) loss_rec_sfr: 0.1133 (0.1155) loss_cl: -0.3674 (-0.3670) time: 0.8603 data: 0.0002 max mem: 29859 [20:12:37.732005] Epoch: [82] [320/850] eta: 0:07:41 lr: 0.002382 loss: 0.0422 (0.0405) loss_rec_all: 0.0780 (0.0764) loss_rec_sfr: 0.1316 (0.1161) loss_cl: -0.3677 (-0.3671) time: 0.8615 data: 0.0002 max mem: 29859 [20:12:54.959011] Epoch: [82] [340/850] eta: 0:07:24 lr: 0.002382 loss: 0.0422 (0.0407) loss_rec_all: 0.0784 (0.0766) loss_rec_sfr: 0.0921 (0.1156) loss_cl: -0.3677 (-0.3671) time: 0.8613 data: 0.0002 max mem: 29859 [20:13:12.199008] Epoch: [82] [360/850] eta: 0:07:06 lr: 0.002382 loss: 0.0412 (0.0409) loss_rec_all: 0.0773 (0.0768) loss_rec_sfr: 0.1204 (0.1158) loss_cl: -0.3678 (-0.3671) time: 0.8620 data: 0.0002 max mem: 29859 [20:13:29.430640] Epoch: [82] [380/850] eta: 0:06:48 lr: 0.002382 loss: 0.0420 (0.0410) loss_rec_all: 0.0777 (0.0769) loss_rec_sfr: 0.1156 (0.1157) loss_cl: -0.3671 (-0.3671) time: 0.8614 data: 0.0002 max mem: 29859 [20:13:46.674408] Epoch: [82] [400/850] eta: 0:06:31 lr: 0.002382 loss: 0.0423 (0.0411) loss_rec_all: 0.0783 (0.0770) loss_rec_sfr: 0.0960 (0.1154) loss_cl: -0.3669 (-0.3671) time: 0.8621 data: 0.0002 max mem: 29859 [20:14:03.875908] Epoch: [82] [420/850] eta: 0:06:13 lr: 0.002382 loss: 0.0415 (0.0412) loss_rec_all: 0.0771 (0.0771) loss_rec_sfr: 0.1278 (0.1159) loss_cl: -0.3670 (-0.3671) time: 0.8600 data: 0.0001 max mem: 29859 [20:14:21.157977] Epoch: [82] [440/850] eta: 0:05:56 lr: 0.002382 loss: 0.0408 (0.0412) loss_rec_all: 0.0764 (0.0771) loss_rec_sfr: 0.0999 (0.1157) loss_cl: -0.3669 (-0.3671) time: 0.8641 data: 0.0002 max mem: 29859 [20:14:38.350548] Epoch: [82] [460/850] eta: 0:05:38 lr: 0.002381 loss: 0.0381 (0.0411) loss_rec_all: 0.0742 (0.0770) loss_rec_sfr: 0.0813 (0.1148) loss_cl: -0.3666 (-0.3671) time: 0.8596 data: 0.0002 max mem: 29859 [20:14:55.621388] Epoch: [82] [480/850] eta: 0:05:21 lr: 0.002381 loss: 0.0415 (0.0411) loss_rec_all: 0.0770 (0.0770) loss_rec_sfr: 0.1265 (0.1152) loss_cl: -0.3666 (-0.3671) time: 0.8635 data: 0.0002 max mem: 29859 [20:15:12.821989] Epoch: [82] [500/850] eta: 0:05:03 lr: 0.002381 loss: 0.0385 (0.0410) loss_rec_all: 0.0748 (0.0770) loss_rec_sfr: 0.0875 (0.1151) loss_cl: -0.3673 (-0.3671) time: 0.8600 data: 0.0002 max mem: 29859 [20:15:30.059321] Epoch: [82] [520/850] eta: 0:04:46 lr: 0.002381 loss: 0.0379 (0.0410) loss_rec_all: 0.0740 (0.0769) loss_rec_sfr: 0.0959 (0.1148) loss_cl: -0.3678 (-0.3671) time: 0.8618 data: 0.0001 max mem: 29859 [20:15:47.294088] Epoch: [82] [540/850] eta: 0:04:28 lr: 0.002381 loss: 0.0381 (0.0409) loss_rec_all: 0.0742 (0.0768) loss_rec_sfr: 0.0941 (0.1145) loss_cl: -0.3680 (-0.3671) time: 0.8617 data: 0.0002 max mem: 29859 [20:16:04.534809] Epoch: [82] [560/850] eta: 0:04:11 lr: 0.002381 loss: 0.0374 (0.0408) loss_rec_all: 0.0732 (0.0767) loss_rec_sfr: 0.1170 (0.1143) loss_cl: -0.3677 (-0.3671) time: 0.8620 data: 0.0002 max mem: 29859 [20:16:21.775746] Epoch: [82] [580/850] eta: 0:03:54 lr: 0.002381 loss: 0.0357 (0.0406) loss_rec_all: 0.0718 (0.0765) loss_rec_sfr: 0.0887 (0.1139) loss_cl: -0.3672 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [20:16:39.014725] Epoch: [82] [600/850] eta: 0:03:36 lr: 0.002381 loss: 0.0382 (0.0405) loss_rec_all: 0.0742 (0.0765) loss_rec_sfr: 0.0889 (0.1137) loss_cl: -0.3671 (-0.3671) time: 0.8619 data: 0.0002 max mem: 29859 [20:16:56.207821] Epoch: [82] [620/850] eta: 0:03:19 lr: 0.002381 loss: 0.0373 (0.0405) loss_rec_all: 0.0734 (0.0764) loss_rec_sfr: 0.0928 (0.1136) loss_cl: -0.3672 (-0.3671) time: 0.8596 data: 0.0002 max mem: 29859 [20:17:13.479844] Epoch: [82] [640/850] eta: 0:03:02 lr: 0.002381 loss: 0.0392 (0.0405) loss_rec_all: 0.0750 (0.0764) loss_rec_sfr: 0.1269 (0.1138) loss_cl: -0.3678 (-0.3672) time: 0.8636 data: 0.0002 max mem: 29859 [20:17:30.680192] Epoch: [82] [660/850] eta: 0:02:44 lr: 0.002381 loss: 0.0391 (0.0405) loss_rec_all: 0.0750 (0.0764) loss_rec_sfr: 0.1189 (0.1138) loss_cl: -0.3672 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [20:17:47.951477] Epoch: [82] [680/850] eta: 0:02:27 lr: 0.002381 loss: 0.0416 (0.0406) loss_rec_all: 0.0776 (0.0765) loss_rec_sfr: 0.0852 (0.1135) loss_cl: -0.3668 (-0.3671) time: 0.8635 data: 0.0002 max mem: 29859 [20:18:05.142767] Epoch: [82] [700/850] eta: 0:02:09 lr: 0.002381 loss: 0.0411 (0.0406) loss_rec_all: 0.0771 (0.0765) loss_rec_sfr: 0.0961 (0.1134) loss_cl: -0.3666 (-0.3671) time: 0.8595 data: 0.0002 max mem: 29859 [20:18:22.376091] Epoch: [82] [720/850] eta: 0:01:52 lr: 0.002381 loss: 0.0393 (0.0406) loss_rec_all: 0.0753 (0.0765) loss_rec_sfr: 0.0884 (0.1133) loss_cl: -0.3670 (-0.3671) time: 0.8616 data: 0.0002 max mem: 29859 [20:18:39.605629] Epoch: [82] [740/850] eta: 0:01:35 lr: 0.002381 loss: 0.0412 (0.0407) loss_rec_all: 0.0773 (0.0766) loss_rec_sfr: 0.1142 (0.1132) loss_cl: -0.3669 (-0.3671) time: 0.8614 data: 0.0002 max mem: 29859 [20:18:56.841093] Epoch: [82] [760/850] eta: 0:01:17 lr: 0.002381 loss: 0.0390 (0.0407) loss_rec_all: 0.0751 (0.0766) loss_rec_sfr: 0.0881 (0.1131) loss_cl: -0.3675 (-0.3671) time: 0.8617 data: 0.0001 max mem: 29859 [20:19:14.081091] Epoch: [82] [780/850] eta: 0:01:00 lr: 0.002381 loss: 0.0379 (0.0406) loss_rec_all: 0.0741 (0.0765) loss_rec_sfr: 0.0790 (0.1124) loss_cl: -0.3678 (-0.3671) time: 0.8619 data: 0.0002 max mem: 29859 [20:19:31.330232] Epoch: [82] [800/850] eta: 0:00:43 lr: 0.002381 loss: 0.0382 (0.0405) loss_rec_all: 0.0743 (0.0765) loss_rec_sfr: 0.0877 (0.1124) loss_cl: -0.3673 (-0.3671) time: 0.8624 data: 0.0002 max mem: 29859 [20:19:48.543903] Epoch: [82] [820/850] eta: 0:00:25 lr: 0.002381 loss: 0.0389 (0.0405) loss_rec_all: 0.0744 (0.0765) loss_rec_sfr: 0.1270 (0.1126) loss_cl: -0.3664 (-0.3671) time: 0.8606 data: 0.0002 max mem: 29859 [20:20:05.860969] Epoch: [82] [840/850] eta: 0:00:08 lr: 0.002381 loss: 0.0372 (0.0405) loss_rec_all: 0.0733 (0.0764) loss_rec_sfr: 0.0782 (0.1120) loss_cl: -0.3662 (-0.3671) time: 0.8658 data: 0.0015 max mem: 29859 [20:20:13.600576] Epoch: [82] [849/850] eta: 0:00:00 lr: 0.002381 loss: 0.0380 (0.0405) loss_rec_all: 0.0741 (0.0764) loss_rec_sfr: 0.0795 (0.1121) loss_cl: -0.3663 (-0.3671) time: 0.8635 data: 0.0014 max mem: 29859 [20:20:13.733992] Epoch: [82] Total time: 0:12:15 (0.8657 s / it) [20:20:13.752152] Averaged stats: lr: 0.002381 loss: 0.0380 (0.0406) loss_rec_all: 0.0741 (0.0766) loss_rec_sfr: 0.0795 (0.1123) loss_cl: -0.3663 (-0.3671) [20:20:13.760569] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [20:20:17.875372] Epoch: [83] [ 0/850] eta: 0:58:16 lr: 0.002381 loss: 0.0366 (0.0366) loss_rec_all: 0.0726 (0.0726) loss_rec_sfr: 0.0753 (0.0753) loss_cl: -0.3655 (-0.3655) time: 4.1141 data: 3.2613 max mem: 29859 [20:20:35.054846] Epoch: [83] [ 20/850] eta: 0:14:01 lr: 0.002381 loss: 0.0381 (0.0399) loss_rec_all: 0.0742 (0.0758) loss_rec_sfr: 0.1131 (0.1070) loss_cl: -0.3660 (-0.3660) time: 0.8589 data: 0.0002 max mem: 29859 [20:20:52.303335] Epoch: [83] [ 40/850] eta: 0:12:41 lr: 0.002381 loss: 0.0387 (0.0393) loss_rec_all: 0.0746 (0.0752) loss_rec_sfr: 0.1190 (0.1119) loss_cl: -0.3673 (-0.3666) time: 0.8624 data: 0.0002 max mem: 29859 [20:21:09.473565] Epoch: [83] [ 60/850] eta: 0:12:01 lr: 0.002381 loss: 0.0376 (0.0391) loss_rec_all: 0.0737 (0.0750) loss_rec_sfr: 0.1157 (0.1105) loss_cl: -0.3680 (-0.3671) time: 0.8585 data: 0.0002 max mem: 29859 [20:21:26.706365] Epoch: [83] [ 80/850] eta: 0:11:33 lr: 0.002381 loss: 0.0378 (0.0389) loss_rec_all: 0.0740 (0.0749) loss_rec_sfr: 0.1279 (0.1127) loss_cl: -0.3679 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [20:21:43.889368] Epoch: [83] [100/850] eta: 0:11:09 lr: 0.002381 loss: 0.0371 (0.0387) loss_rec_all: 0.0733 (0.0747) loss_rec_sfr: 0.0975 (0.1117) loss_cl: -0.3677 (-0.3674) time: 0.8590 data: 0.0002 max mem: 29859 [20:22:01.124647] Epoch: [83] [120/850] eta: 0:10:47 lr: 0.002381 loss: 0.0387 (0.0388) loss_rec_all: 0.0746 (0.0748) loss_rec_sfr: 0.1167 (0.1124) loss_cl: -0.3672 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [20:22:18.316207] Epoch: [83] [140/850] eta: 0:10:27 lr: 0.002381 loss: 0.0375 (0.0387) loss_rec_all: 0.0733 (0.0747) loss_rec_sfr: 0.1162 (0.1122) loss_cl: -0.3676 (-0.3674) time: 0.8595 data: 0.0002 max mem: 29859 [20:22:35.546545] Epoch: [83] [160/850] eta: 0:10:07 lr: 0.002381 loss: 0.0390 (0.0390) loss_rec_all: 0.0746 (0.0750) loss_rec_sfr: 0.1244 (0.1136) loss_cl: -0.3674 (-0.3674) time: 0.8615 data: 0.0002 max mem: 29859 [20:22:52.786740] Epoch: [83] [180/850] eta: 0:09:48 lr: 0.002381 loss: 0.0451 (0.0400) loss_rec_all: 0.0812 (0.0759) loss_rec_sfr: 0.0980 (0.1135) loss_cl: -0.3673 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [20:23:10.030474] Epoch: [83] [200/850] eta: 0:09:29 lr: 0.002381 loss: 0.0493 (0.0410) loss_rec_all: 0.0850 (0.0769) loss_rec_sfr: 0.1029 (0.1143) loss_cl: -0.3674 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [20:23:27.234626] Epoch: [83] [220/850] eta: 0:09:11 lr: 0.002381 loss: 0.0480 (0.0417) loss_rec_all: 0.0839 (0.0776) loss_rec_sfr: 0.1397 (0.1160) loss_cl: -0.3676 (-0.3674) time: 0.8602 data: 0.0002 max mem: 29859 [20:23:44.504307] Epoch: [83] [240/850] eta: 0:08:53 lr: 0.002381 loss: 0.0453 (0.0421) loss_rec_all: 0.0812 (0.0780) loss_rec_sfr: 0.1284 (0.1163) loss_cl: -0.3663 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [20:24:01.706324] Epoch: [83] [260/850] eta: 0:08:35 lr: 0.002381 loss: 0.0437 (0.0425) loss_rec_all: 0.0799 (0.0784) loss_rec_sfr: 0.1270 (0.1160) loss_cl: -0.3668 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [20:24:18.966783] Epoch: [83] [280/850] eta: 0:08:17 lr: 0.002381 loss: 0.0430 (0.0426) loss_rec_all: 0.0787 (0.0785) loss_rec_sfr: 0.1201 (0.1163) loss_cl: -0.3665 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [20:24:36.165575] Epoch: [83] [300/850] eta: 0:07:59 lr: 0.002381 loss: 0.0405 (0.0425) loss_rec_all: 0.0761 (0.0784) loss_rec_sfr: 0.1008 (0.1159) loss_cl: -0.3670 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [20:24:53.430913] Epoch: [83] [320/850] eta: 0:07:41 lr: 0.002381 loss: 0.0408 (0.0424) loss_rec_all: 0.0766 (0.0783) loss_rec_sfr: 0.0918 (0.1153) loss_cl: -0.3676 (-0.3672) time: 0.8632 data: 0.0002 max mem: 29859 [20:25:10.649353] Epoch: [83] [340/850] eta: 0:07:23 lr: 0.002381 loss: 0.0399 (0.0423) loss_rec_all: 0.0759 (0.0783) loss_rec_sfr: 0.1179 (0.1152) loss_cl: -0.3675 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [20:25:27.882852] Epoch: [83] [360/850] eta: 0:07:06 lr: 0.002381 loss: 0.0403 (0.0422) loss_rec_all: 0.0761 (0.0781) loss_rec_sfr: 0.0951 (0.1152) loss_cl: -0.3671 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [20:25:45.124869] Epoch: [83] [380/850] eta: 0:06:48 lr: 0.002381 loss: 0.0393 (0.0421) loss_rec_all: 0.0749 (0.0780) loss_rec_sfr: 0.0919 (0.1149) loss_cl: -0.3667 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [20:26:02.378088] Epoch: [83] [400/850] eta: 0:06:31 lr: 0.002381 loss: 0.0384 (0.0420) loss_rec_all: 0.0744 (0.0779) loss_rec_sfr: 0.1181 (0.1150) loss_cl: -0.3663 (-0.3671) time: 0.8626 data: 0.0002 max mem: 29859 [20:26:19.584336] Epoch: [83] [420/850] eta: 0:06:13 lr: 0.002381 loss: 0.0372 (0.0418) loss_rec_all: 0.0735 (0.0777) loss_rec_sfr: 0.1173 (0.1150) loss_cl: -0.3674 (-0.3671) time: 0.8603 data: 0.0002 max mem: 29859 [20:26:36.856245] Epoch: [83] [440/850] eta: 0:05:56 lr: 0.002381 loss: 0.0364 (0.0417) loss_rec_all: 0.0723 (0.0776) loss_rec_sfr: 0.0863 (0.1142) loss_cl: -0.3678 (-0.3672) time: 0.8635 data: 0.0002 max mem: 29859 [20:26:54.058826] Epoch: [83] [460/850] eta: 0:05:38 lr: 0.002381 loss: 0.0370 (0.0415) loss_rec_all: 0.0730 (0.0774) loss_rec_sfr: 0.0864 (0.1137) loss_cl: -0.3676 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [20:27:11.324800] Epoch: [83] [480/850] eta: 0:05:21 lr: 0.002381 loss: 0.0374 (0.0413) loss_rec_all: 0.0736 (0.0773) loss_rec_sfr: 0.0867 (0.1132) loss_cl: -0.3674 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [20:27:28.525243] Epoch: [83] [500/850] eta: 0:05:03 lr: 0.002381 loss: 0.0443 (0.0414) loss_rec_all: 0.0802 (0.0773) loss_rec_sfr: 0.1165 (0.1139) loss_cl: -0.3670 (-0.3672) time: 0.8600 data: 0.0001 max mem: 29859 [20:27:45.777325] Epoch: [83] [520/850] eta: 0:04:46 lr: 0.002381 loss: 0.0458 (0.0416) loss_rec_all: 0.0813 (0.0775) loss_rec_sfr: 0.1197 (0.1147) loss_cl: -0.3671 (-0.3672) time: 0.8626 data: 0.0001 max mem: 29859 [20:28:03.007134] Epoch: [83] [540/850] eta: 0:04:28 lr: 0.002381 loss: 0.0419 (0.0416) loss_rec_all: 0.0776 (0.0775) loss_rec_sfr: 0.1175 (0.1151) loss_cl: -0.3669 (-0.3672) time: 0.8614 data: 0.0002 max mem: 29859 [20:28:20.246281] Epoch: [83] [560/850] eta: 0:04:11 lr: 0.002381 loss: 0.0418 (0.0417) loss_rec_all: 0.0777 (0.0776) loss_rec_sfr: 0.1130 (0.1155) loss_cl: -0.3667 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [20:28:37.488404] Epoch: [83] [580/850] eta: 0:03:54 lr: 0.002380 loss: 0.0407 (0.0417) loss_rec_all: 0.0763 (0.0776) loss_rec_sfr: 0.0969 (0.1152) loss_cl: -0.3665 (-0.3671) time: 0.8621 data: 0.0002 max mem: 29859 [20:28:54.730041] Epoch: [83] [600/850] eta: 0:03:36 lr: 0.002380 loss: 0.0403 (0.0417) loss_rec_all: 0.0763 (0.0776) loss_rec_sfr: 0.1163 (0.1152) loss_cl: -0.3671 (-0.3671) time: 0.8620 data: 0.0002 max mem: 29859 [20:29:11.947227] Epoch: [83] [620/850] eta: 0:03:19 lr: 0.002380 loss: 0.0393 (0.0416) loss_rec_all: 0.0755 (0.0775) loss_rec_sfr: 0.1446 (0.1157) loss_cl: -0.3673 (-0.3671) time: 0.8608 data: 0.0002 max mem: 29859 [20:29:29.220478] Epoch: [83] [640/850] eta: 0:03:01 lr: 0.002380 loss: 0.0382 (0.0416) loss_rec_all: 0.0743 (0.0775) loss_rec_sfr: 0.1127 (0.1157) loss_cl: -0.3672 (-0.3671) time: 0.8636 data: 0.0002 max mem: 29859 [20:29:46.432936] Epoch: [83] [660/850] eta: 0:02:44 lr: 0.002380 loss: 0.0384 (0.0415) loss_rec_all: 0.0745 (0.0774) loss_rec_sfr: 0.0785 (0.1152) loss_cl: -0.3677 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [20:30:03.714430] Epoch: [83] [680/850] eta: 0:02:27 lr: 0.002380 loss: 0.0387 (0.0415) loss_rec_all: 0.0748 (0.0774) loss_rec_sfr: 0.0960 (0.1150) loss_cl: -0.3678 (-0.3672) time: 0.8640 data: 0.0002 max mem: 29859 [20:30:20.913089] Epoch: [83] [700/850] eta: 0:02:09 lr: 0.002380 loss: 0.0385 (0.0414) loss_rec_all: 0.0743 (0.0773) loss_rec_sfr: 0.1213 (0.1151) loss_cl: -0.3679 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [20:30:38.167229] Epoch: [83] [720/850] eta: 0:01:52 lr: 0.002380 loss: 0.0372 (0.0413) loss_rec_all: 0.0731 (0.0772) loss_rec_sfr: 0.0781 (0.1147) loss_cl: -0.3675 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [20:30:55.390410] Epoch: [83] [740/850] eta: 0:01:35 lr: 0.002380 loss: 0.0393 (0.0413) loss_rec_all: 0.0754 (0.0772) loss_rec_sfr: 0.1110 (0.1146) loss_cl: -0.3673 (-0.3672) time: 0.8611 data: 0.0002 max mem: 29859 [20:31:12.635201] Epoch: [83] [760/850] eta: 0:01:17 lr: 0.002380 loss: 0.0393 (0.0413) loss_rec_all: 0.0751 (0.0772) loss_rec_sfr: 0.1244 (0.1148) loss_cl: -0.3673 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [20:31:29.882226] Epoch: [83] [780/850] eta: 0:01:00 lr: 0.002380 loss: 0.0392 (0.0413) loss_rec_all: 0.0749 (0.0772) loss_rec_sfr: 0.1146 (0.1148) loss_cl: -0.3666 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [20:31:47.124453] Epoch: [83] [800/850] eta: 0:00:43 lr: 0.002380 loss: 0.0394 (0.0412) loss_rec_all: 0.0751 (0.0771) loss_rec_sfr: 0.1203 (0.1150) loss_cl: -0.3663 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [20:32:04.341189] Epoch: [83] [820/850] eta: 0:00:25 lr: 0.002380 loss: 0.0371 (0.0412) loss_rec_all: 0.0733 (0.0771) loss_rec_sfr: 0.0838 (0.1147) loss_cl: -0.3668 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [20:32:21.622232] Epoch: [83] [840/850] eta: 0:00:08 lr: 0.002380 loss: 0.0383 (0.0411) loss_rec_all: 0.0744 (0.0770) loss_rec_sfr: 0.0903 (0.1146) loss_cl: -0.3672 (-0.3672) time: 0.8640 data: 0.0012 max mem: 29859 [20:32:29.358861] Epoch: [83] [849/850] eta: 0:00:00 lr: 0.002380 loss: 0.0401 (0.0411) loss_rec_all: 0.0760 (0.0770) loss_rec_sfr: 0.0903 (0.1144) loss_cl: -0.3674 (-0.3672) time: 0.8624 data: 0.0012 max mem: 29859 [20:32:29.502866] Epoch: [83] Total time: 0:12:15 (0.8656 s / it) [20:32:29.511673] Averaged stats: lr: 0.002380 loss: 0.0401 (0.0411) loss_rec_all: 0.0760 (0.0770) loss_rec_sfr: 0.0903 (0.1132) loss_cl: -0.3674 (-0.3671) [20:32:29.534251] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [20:32:33.875224] Epoch: [84] [ 0/850] eta: 1:01:29 lr: 0.002380 loss: 0.0411 (0.0411) loss_rec_all: 0.0768 (0.0768) loss_rec_sfr: 0.1461 (0.1461) loss_cl: -0.3673 (-0.3673) time: 4.3402 data: 3.1025 max mem: 29859 [20:32:51.077637] Epoch: [84] [ 20/850] eta: 0:14:11 lr: 0.002380 loss: 0.0452 (0.0444) loss_rec_all: 0.0808 (0.0802) loss_rec_sfr: 0.1257 (0.1293) loss_cl: -0.3669 (-0.3669) time: 0.8601 data: 0.0002 max mem: 29859 [20:33:08.320057] Epoch: [84] [ 40/850] eta: 0:12:46 lr: 0.002380 loss: 0.0397 (0.0430) loss_rec_all: 0.0754 (0.0789) loss_rec_sfr: 0.1188 (0.1261) loss_cl: -0.3670 (-0.3669) time: 0.8621 data: 0.0002 max mem: 29859 [20:33:25.510208] Epoch: [84] [ 60/850] eta: 0:12:04 lr: 0.002380 loss: 0.0398 (0.0423) loss_rec_all: 0.0759 (0.0781) loss_rec_sfr: 0.1034 (0.1247) loss_cl: -0.3668 (-0.3669) time: 0.8595 data: 0.0002 max mem: 29859 [20:33:42.792059] Epoch: [84] [ 80/850] eta: 0:11:36 lr: 0.002380 loss: 0.0382 (0.0416) loss_rec_all: 0.0742 (0.0774) loss_rec_sfr: 0.0982 (0.1209) loss_cl: -0.3675 (-0.3671) time: 0.8640 data: 0.0002 max mem: 29859 [20:33:59.985092] Epoch: [84] [100/850] eta: 0:11:11 lr: 0.002380 loss: 0.0363 (0.0408) loss_rec_all: 0.0725 (0.0767) loss_rec_sfr: 0.0917 (0.1180) loss_cl: -0.3682 (-0.3673) time: 0.8596 data: 0.0002 max mem: 29859 [20:34:17.254562] Epoch: [84] [120/850] eta: 0:10:49 lr: 0.002380 loss: 0.0396 (0.0406) loss_rec_all: 0.0757 (0.0765) loss_rec_sfr: 0.1098 (0.1175) loss_cl: -0.3683 (-0.3675) time: 0.8634 data: 0.0002 max mem: 29859 [20:34:34.473290] Epoch: [84] [140/850] eta: 0:10:29 lr: 0.002380 loss: 0.0376 (0.0404) loss_rec_all: 0.0734 (0.0764) loss_rec_sfr: 0.1143 (0.1166) loss_cl: -0.3679 (-0.3675) time: 0.8609 data: 0.0002 max mem: 29859 [20:34:51.717773] Epoch: [84] [160/850] eta: 0:10:09 lr: 0.002380 loss: 0.0388 (0.0403) loss_rec_all: 0.0748 (0.0762) loss_rec_sfr: 0.0932 (0.1151) loss_cl: -0.3671 (-0.3675) time: 0.8622 data: 0.0002 max mem: 29859 [20:35:08.961105] Epoch: [84] [180/850] eta: 0:09:50 lr: 0.002380 loss: 0.0387 (0.0401) loss_rec_all: 0.0746 (0.0760) loss_rec_sfr: 0.0891 (0.1142) loss_cl: -0.3667 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [20:35:26.200960] Epoch: [84] [200/850] eta: 0:09:31 lr: 0.002380 loss: 0.0377 (0.0399) loss_rec_all: 0.0735 (0.0759) loss_rec_sfr: 0.0831 (0.1125) loss_cl: -0.3669 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [20:35:43.429663] Epoch: [84] [220/850] eta: 0:09:12 lr: 0.002380 loss: 0.0387 (0.0399) loss_rec_all: 0.0748 (0.0758) loss_rec_sfr: 0.0922 (0.1123) loss_cl: -0.3669 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [20:36:00.689340] Epoch: [84] [240/850] eta: 0:08:54 lr: 0.002380 loss: 0.0375 (0.0398) loss_rec_all: 0.0732 (0.0757) loss_rec_sfr: 0.0931 (0.1117) loss_cl: -0.3669 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [20:36:17.893331] Epoch: [84] [260/850] eta: 0:08:36 lr: 0.002380 loss: 0.0381 (0.0398) loss_rec_all: 0.0742 (0.0758) loss_rec_sfr: 0.0877 (0.1111) loss_cl: -0.3671 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [20:36:35.173555] Epoch: [84] [280/850] eta: 0:08:18 lr: 0.002380 loss: 0.0403 (0.0399) loss_rec_all: 0.0760 (0.0758) loss_rec_sfr: 0.0845 (0.1107) loss_cl: -0.3670 (-0.3672) time: 0.8640 data: 0.0002 max mem: 29859 [20:36:52.380680] Epoch: [84] [300/850] eta: 0:08:00 lr: 0.002380 loss: 0.0427 (0.0402) loss_rec_all: 0.0782 (0.0762) loss_rec_sfr: 0.1299 (0.1119) loss_cl: -0.3667 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [20:37:09.648902] Epoch: [84] [320/850] eta: 0:07:42 lr: 0.002380 loss: 0.0420 (0.0405) loss_rec_all: 0.0780 (0.0764) loss_rec_sfr: 0.1265 (0.1129) loss_cl: -0.3670 (-0.3672) time: 0.8634 data: 0.0002 max mem: 29859 [20:37:26.857494] Epoch: [84] [340/850] eta: 0:07:24 lr: 0.002380 loss: 0.0396 (0.0405) loss_rec_all: 0.0758 (0.0764) loss_rec_sfr: 0.1297 (0.1137) loss_cl: -0.3675 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [20:37:44.086311] Epoch: [84] [360/850] eta: 0:07:06 lr: 0.002380 loss: 0.0403 (0.0406) loss_rec_all: 0.0764 (0.0765) loss_rec_sfr: 0.1035 (0.1136) loss_cl: -0.3675 (-0.3672) time: 0.8614 data: 0.0002 max mem: 29859 [20:38:01.319472] Epoch: [84] [380/850] eta: 0:06:49 lr: 0.002380 loss: 0.0404 (0.0407) loss_rec_all: 0.0766 (0.0766) loss_rec_sfr: 0.0887 (0.1131) loss_cl: -0.3674 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [20:38:18.553250] Epoch: [84] [400/850] eta: 0:06:31 lr: 0.002380 loss: 0.0388 (0.0407) loss_rec_all: 0.0749 (0.0766) loss_rec_sfr: 0.0914 (0.1129) loss_cl: -0.3671 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [20:38:35.784321] Epoch: [84] [420/850] eta: 0:06:14 lr: 0.002380 loss: 0.0389 (0.0407) loss_rec_all: 0.0751 (0.0766) loss_rec_sfr: 0.0882 (0.1127) loss_cl: -0.3671 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [20:38:53.037383] Epoch: [84] [440/850] eta: 0:05:56 lr: 0.002380 loss: 0.0391 (0.0407) loss_rec_all: 0.0749 (0.0766) loss_rec_sfr: 0.1154 (0.1127) loss_cl: -0.3671 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [20:39:10.237312] Epoch: [84] [460/850] eta: 0:05:38 lr: 0.002380 loss: 0.0406 (0.0407) loss_rec_all: 0.0761 (0.0766) loss_rec_sfr: 0.1125 (0.1128) loss_cl: -0.3670 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [20:39:27.515504] Epoch: [84] [480/850] eta: 0:05:21 lr: 0.002380 loss: 0.0408 (0.0407) loss_rec_all: 0.0769 (0.0766) loss_rec_sfr: 0.0968 (0.1127) loss_cl: -0.3670 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [20:39:44.709667] Epoch: [84] [500/850] eta: 0:05:03 lr: 0.002380 loss: 0.0377 (0.0406) loss_rec_all: 0.0735 (0.0766) loss_rec_sfr: 0.0867 (0.1123) loss_cl: -0.3668 (-0.3671) time: 0.8597 data: 0.0002 max mem: 29859 [20:40:01.963745] Epoch: [84] [520/850] eta: 0:04:46 lr: 0.002380 loss: 0.0391 (0.0406) loss_rec_all: 0.0749 (0.0765) loss_rec_sfr: 0.1126 (0.1122) loss_cl: -0.3670 (-0.3671) time: 0.8627 data: 0.0002 max mem: 29859 [20:40:19.198173] Epoch: [84] [540/850] eta: 0:04:29 lr: 0.002380 loss: 0.0371 (0.0405) loss_rec_all: 0.0731 (0.0764) loss_rec_sfr: 0.1231 (0.1122) loss_cl: -0.3667 (-0.3671) time: 0.8617 data: 0.0002 max mem: 29859 [20:40:36.432996] Epoch: [84] [560/850] eta: 0:04:11 lr: 0.002380 loss: 0.0377 (0.0404) loss_rec_all: 0.0735 (0.0763) loss_rec_sfr: 0.1086 (0.1121) loss_cl: -0.3675 (-0.3671) time: 0.8617 data: 0.0002 max mem: 29859 [20:40:53.683818] Epoch: [84] [580/850] eta: 0:03:54 lr: 0.002380 loss: 0.0376 (0.0404) loss_rec_all: 0.0734 (0.0763) loss_rec_sfr: 0.1142 (0.1120) loss_cl: -0.3678 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [20:41:10.944391] Epoch: [84] [600/850] eta: 0:03:36 lr: 0.002380 loss: 0.0371 (0.0404) loss_rec_all: 0.0733 (0.0763) loss_rec_sfr: 0.0863 (0.1116) loss_cl: -0.3677 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [20:41:28.143513] Epoch: [84] [620/850] eta: 0:03:19 lr: 0.002380 loss: 0.0383 (0.0404) loss_rec_all: 0.0740 (0.0763) loss_rec_sfr: 0.0908 (0.1114) loss_cl: -0.3673 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [20:41:45.438825] Epoch: [84] [640/850] eta: 0:03:02 lr: 0.002380 loss: 0.0379 (0.0403) loss_rec_all: 0.0738 (0.0763) loss_rec_sfr: 0.0887 (0.1111) loss_cl: -0.3672 (-0.3672) time: 0.8647 data: 0.0002 max mem: 29859 [20:42:02.679895] Epoch: [84] [660/850] eta: 0:02:44 lr: 0.002380 loss: 0.0386 (0.0403) loss_rec_all: 0.0746 (0.0762) loss_rec_sfr: 0.1012 (0.1111) loss_cl: -0.3664 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [20:42:19.911103] Epoch: [84] [680/850] eta: 0:02:27 lr: 0.002379 loss: 0.0376 (0.0403) loss_rec_all: 0.0736 (0.0762) loss_rec_sfr: 0.0897 (0.1110) loss_cl: -0.3666 (-0.3672) time: 0.8615 data: 0.0001 max mem: 29859 [20:42:37.138698] Epoch: [84] [700/850] eta: 0:02:10 lr: 0.002379 loss: 0.0386 (0.0402) loss_rec_all: 0.0747 (0.0762) loss_rec_sfr: 0.1131 (0.1109) loss_cl: -0.3672 (-0.3672) time: 0.8613 data: 0.0002 max mem: 29859 [20:42:54.430336] Epoch: [84] [720/850] eta: 0:01:52 lr: 0.002379 loss: 0.0388 (0.0403) loss_rec_all: 0.0749 (0.0763) loss_rec_sfr: 0.1206 (0.1111) loss_cl: -0.3678 (-0.3672) time: 0.8645 data: 0.0002 max mem: 29859 [20:43:11.634173] Epoch: [84] [740/850] eta: 0:01:35 lr: 0.002379 loss: 0.0417 (0.0404) loss_rec_all: 0.0775 (0.0763) loss_rec_sfr: 0.0891 (0.1109) loss_cl: -0.3680 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [20:43:28.913560] Epoch: [84] [760/850] eta: 0:01:17 lr: 0.002379 loss: 0.0386 (0.0404) loss_rec_all: 0.0750 (0.0763) loss_rec_sfr: 0.0921 (0.1108) loss_cl: -0.3678 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [20:43:46.169276] Epoch: [84] [780/850] eta: 0:01:00 lr: 0.002379 loss: 0.0378 (0.0404) loss_rec_all: 0.0736 (0.0763) loss_rec_sfr: 0.0917 (0.1107) loss_cl: -0.3664 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [20:44:03.417280] Epoch: [84] [800/850] eta: 0:00:43 lr: 0.002379 loss: 0.0382 (0.0403) loss_rec_all: 0.0743 (0.0763) loss_rec_sfr: 0.0915 (0.1107) loss_cl: -0.3664 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [20:44:20.637112] Epoch: [84] [820/850] eta: 0:00:25 lr: 0.002379 loss: 0.0399 (0.0403) loss_rec_all: 0.0754 (0.0763) loss_rec_sfr: 0.1223 (0.1110) loss_cl: -0.3661 (-0.3671) time: 0.8609 data: 0.0002 max mem: 29859 [20:44:37.943499] Epoch: [84] [840/850] eta: 0:00:08 lr: 0.002379 loss: 0.0385 (0.0403) loss_rec_all: 0.0742 (0.0763) loss_rec_sfr: 0.1184 (0.1112) loss_cl: -0.3669 (-0.3671) time: 0.8653 data: 0.0007 max mem: 29859 [20:44:45.683377] Epoch: [84] [849/850] eta: 0:00:00 lr: 0.002379 loss: 0.0377 (0.0403) loss_rec_all: 0.0736 (0.0762) loss_rec_sfr: 0.1184 (0.1113) loss_cl: -0.3670 (-0.3671) time: 0.8630 data: 0.0006 max mem: 29859 [20:44:45.826909] Epoch: [84] Total time: 0:12:16 (0.8662 s / it) [20:44:45.840629] Averaged stats: lr: 0.002379 loss: 0.0377 (0.0402) loss_rec_all: 0.0736 (0.0761) loss_rec_sfr: 0.1184 (0.1127) loss_cl: -0.3670 (-0.3672) [20:44:45.850494] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [20:44:50.331673] Epoch: [85] [ 0/850] eta: 1:03:28 lr: 0.002379 loss: 0.0389 (0.0389) loss_rec_all: 0.0745 (0.0745) loss_rec_sfr: 0.1538 (0.1538) loss_cl: -0.3673 (-0.3673) time: 4.4804 data: 3.5980 max mem: 29859 [20:45:07.537525] Epoch: [85] [ 20/850] eta: 0:14:17 lr: 0.002379 loss: 0.0381 (0.0386) loss_rec_all: 0.0739 (0.0745) loss_rec_sfr: 0.0904 (0.1094) loss_cl: -0.3673 (-0.3673) time: 0.8602 data: 0.0002 max mem: 29859 [20:45:24.869356] Epoch: [85] [ 40/850] eta: 0:12:50 lr: 0.002379 loss: 0.0383 (0.0394) loss_rec_all: 0.0746 (0.0753) loss_rec_sfr: 0.1164 (0.1144) loss_cl: -0.3679 (-0.3675) time: 0.8665 data: 0.0003 max mem: 29859 [20:45:42.063062] Epoch: [85] [ 60/850] eta: 0:12:07 lr: 0.002379 loss: 0.0392 (0.0400) loss_rec_all: 0.0750 (0.0760) loss_rec_sfr: 0.1209 (0.1160) loss_cl: -0.3673 (-0.3674) time: 0.8596 data: 0.0002 max mem: 29859 [20:45:59.293710] Epoch: [85] [ 80/850] eta: 0:11:38 lr: 0.002379 loss: 0.0385 (0.0403) loss_rec_all: 0.0744 (0.0762) loss_rec_sfr: 0.1207 (0.1156) loss_cl: -0.3674 (-0.3674) time: 0.8614 data: 0.0002 max mem: 29859 [20:46:16.566299] Epoch: [85] [100/850] eta: 0:11:13 lr: 0.002379 loss: 0.0386 (0.0403) loss_rec_all: 0.0744 (0.0763) loss_rec_sfr: 0.1140 (0.1155) loss_cl: -0.3677 (-0.3674) time: 0.8636 data: 0.0003 max mem: 29859 [20:46:33.816026] Epoch: [85] [120/850] eta: 0:10:51 lr: 0.002379 loss: 0.0375 (0.0401) loss_rec_all: 0.0736 (0.0761) loss_rec_sfr: 0.0849 (0.1131) loss_cl: -0.3671 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [20:46:50.995447] Epoch: [85] [140/850] eta: 0:10:30 lr: 0.002379 loss: 0.0394 (0.0402) loss_rec_all: 0.0753 (0.0761) loss_rec_sfr: 0.1155 (0.1127) loss_cl: -0.3671 (-0.3673) time: 0.8589 data: 0.0002 max mem: 29859 [20:47:08.306375] Epoch: [85] [160/850] eta: 0:10:10 lr: 0.002379 loss: 0.0390 (0.0402) loss_rec_all: 0.0747 (0.0761) loss_rec_sfr: 0.1226 (0.1136) loss_cl: -0.3676 (-0.3674) time: 0.8655 data: 0.0002 max mem: 29859 [20:47:25.510323] Epoch: [85] [180/850] eta: 0:09:50 lr: 0.002379 loss: 0.0421 (0.0406) loss_rec_all: 0.0777 (0.0765) loss_rec_sfr: 0.1246 (0.1145) loss_cl: -0.3677 (-0.3674) time: 0.8601 data: 0.0002 max mem: 29859 [20:47:42.741209] Epoch: [85] [200/850] eta: 0:09:31 lr: 0.002379 loss: 0.0429 (0.0409) loss_rec_all: 0.0790 (0.0769) loss_rec_sfr: 0.1200 (0.1146) loss_cl: -0.3680 (-0.3674) time: 0.8615 data: 0.0002 max mem: 29859 [20:47:59.990201] Epoch: [85] [220/850] eta: 0:09:13 lr: 0.002379 loss: 0.0500 (0.0418) loss_rec_all: 0.0856 (0.0777) loss_rec_sfr: 0.1040 (0.1150) loss_cl: -0.3675 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [20:48:17.248508] Epoch: [85] [240/850] eta: 0:08:55 lr: 0.002379 loss: 0.0519 (0.0431) loss_rec_all: 0.0880 (0.0790) loss_rec_sfr: 0.1497 (0.1164) loss_cl: -0.3669 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [20:48:34.447838] Epoch: [85] [260/850] eta: 0:08:36 lr: 0.002379 loss: 0.0486 (0.0437) loss_rec_all: 0.0846 (0.0796) loss_rec_sfr: 0.1110 (0.1168) loss_cl: -0.3667 (-0.3673) time: 0.8599 data: 0.0002 max mem: 29859 [20:48:51.735487] Epoch: [85] [280/850] eta: 0:08:18 lr: 0.002379 loss: 0.0472 (0.0440) loss_rec_all: 0.0829 (0.0799) loss_rec_sfr: 0.0970 (0.1168) loss_cl: -0.3669 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [20:49:08.961622] Epoch: [85] [300/850] eta: 0:08:00 lr: 0.002379 loss: 0.0432 (0.0439) loss_rec_all: 0.0790 (0.0798) loss_rec_sfr: 0.0860 (0.1164) loss_cl: -0.3668 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [20:49:26.192809] Epoch: [85] [320/850] eta: 0:07:42 lr: 0.002379 loss: 0.0424 (0.0439) loss_rec_all: 0.0779 (0.0798) loss_rec_sfr: 0.1167 (0.1164) loss_cl: -0.3671 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [20:49:43.430850] Epoch: [85] [340/850] eta: 0:07:25 lr: 0.002379 loss: 0.0406 (0.0438) loss_rec_all: 0.0763 (0.0797) loss_rec_sfr: 0.1238 (0.1165) loss_cl: -0.3669 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [20:50:00.726979] Epoch: [85] [360/850] eta: 0:07:07 lr: 0.002379 loss: 0.0406 (0.0436) loss_rec_all: 0.0762 (0.0796) loss_rec_sfr: 0.1138 (0.1162) loss_cl: -0.3673 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [20:50:17.925095] Epoch: [85] [380/850] eta: 0:06:49 lr: 0.002379 loss: 0.0389 (0.0434) loss_rec_all: 0.0750 (0.0794) loss_rec_sfr: 0.1171 (0.1160) loss_cl: -0.3669 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [20:50:35.186393] Epoch: [85] [400/850] eta: 0:06:31 lr: 0.002379 loss: 0.0393 (0.0432) loss_rec_all: 0.0750 (0.0792) loss_rec_sfr: 0.1204 (0.1160) loss_cl: -0.3671 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [20:50:52.449445] Epoch: [85] [420/850] eta: 0:06:14 lr: 0.002379 loss: 0.0382 (0.0430) loss_rec_all: 0.0739 (0.0790) loss_rec_sfr: 0.1087 (0.1154) loss_cl: -0.3675 (-0.3672) time: 0.8631 data: 0.0003 max mem: 29859 [20:51:09.692757] Epoch: [85] [440/850] eta: 0:05:56 lr: 0.002379 loss: 0.0371 (0.0428) loss_rec_all: 0.0730 (0.0787) loss_rec_sfr: 0.1182 (0.1155) loss_cl: -0.3666 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [20:51:26.917894] Epoch: [85] [460/850] eta: 0:05:39 lr: 0.002379 loss: 0.0368 (0.0426) loss_rec_all: 0.0728 (0.0785) loss_rec_sfr: 0.0970 (0.1149) loss_cl: -0.3680 (-0.3672) time: 0.8612 data: 0.0002 max mem: 29859 [20:51:44.209905] Epoch: [85] [480/850] eta: 0:05:21 lr: 0.002379 loss: 0.0373 (0.0424) loss_rec_all: 0.0729 (0.0783) loss_rec_sfr: 0.1152 (0.1149) loss_cl: -0.3671 (-0.3672) time: 0.8646 data: 0.0002 max mem: 29859 [20:52:01.409502] Epoch: [85] [500/850] eta: 0:05:04 lr: 0.002379 loss: 0.0357 (0.0422) loss_rec_all: 0.0718 (0.0781) loss_rec_sfr: 0.0763 (0.1142) loss_cl: -0.3664 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [20:52:18.687363] Epoch: [85] [520/850] eta: 0:04:46 lr: 0.002379 loss: 0.0338 (0.0419) loss_rec_all: 0.0700 (0.0778) loss_rec_sfr: 0.0733 (0.1132) loss_cl: -0.3667 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [20:52:35.954568] Epoch: [85] [540/850] eta: 0:04:29 lr: 0.002379 loss: 0.0370 (0.0418) loss_rec_all: 0.0727 (0.0777) loss_rec_sfr: 0.1090 (0.1131) loss_cl: -0.3673 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [20:52:53.192224] Epoch: [85] [560/850] eta: 0:04:11 lr: 0.002379 loss: 0.0385 (0.0418) loss_rec_all: 0.0747 (0.0777) loss_rec_sfr: 0.1174 (0.1130) loss_cl: -0.3677 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [20:53:10.409528] Epoch: [85] [580/850] eta: 0:03:54 lr: 0.002379 loss: 0.0402 (0.0418) loss_rec_all: 0.0762 (0.0777) loss_rec_sfr: 0.1256 (0.1132) loss_cl: -0.3668 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [20:53:27.728131] Epoch: [85] [600/850] eta: 0:03:37 lr: 0.002379 loss: 0.0407 (0.0418) loss_rec_all: 0.0765 (0.0777) loss_rec_sfr: 0.1237 (0.1134) loss_cl: -0.3670 (-0.3672) time: 0.8659 data: 0.0003 max mem: 29859 [20:53:44.994531] Epoch: [85] [620/850] eta: 0:03:19 lr: 0.002379 loss: 0.0392 (0.0418) loss_rec_all: 0.0746 (0.0777) loss_rec_sfr: 0.1064 (0.1134) loss_cl: -0.3662 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [20:54:02.261763] Epoch: [85] [640/850] eta: 0:03:02 lr: 0.002379 loss: 0.0392 (0.0417) loss_rec_all: 0.0749 (0.0777) loss_rec_sfr: 0.1180 (0.1134) loss_cl: -0.3659 (-0.3671) time: 0.8633 data: 0.0002 max mem: 29859 [20:54:19.553632] Epoch: [85] [660/850] eta: 0:02:44 lr: 0.002379 loss: 0.0380 (0.0416) loss_rec_all: 0.0741 (0.0776) loss_rec_sfr: 0.0897 (0.1131) loss_cl: -0.3670 (-0.3671) time: 0.8645 data: 0.0003 max mem: 29859 [20:54:36.806195] Epoch: [85] [680/850] eta: 0:02:27 lr: 0.002379 loss: 0.0387 (0.0416) loss_rec_all: 0.0747 (0.0775) loss_rec_sfr: 0.0942 (0.1130) loss_cl: -0.3672 (-0.3671) time: 0.8626 data: 0.0002 max mem: 29859 [20:54:54.019049] Epoch: [85] [700/850] eta: 0:02:10 lr: 0.002379 loss: 0.0381 (0.0415) loss_rec_all: 0.0738 (0.0774) loss_rec_sfr: 0.1191 (0.1131) loss_cl: -0.3674 (-0.3671) time: 0.8606 data: 0.0002 max mem: 29859 [20:55:11.380825] Epoch: [85] [720/850] eta: 0:01:52 lr: 0.002379 loss: 0.0375 (0.0414) loss_rec_all: 0.0732 (0.0774) loss_rec_sfr: 0.0906 (0.1130) loss_cl: -0.3674 (-0.3671) time: 0.8680 data: 0.0003 max mem: 29859 [20:55:28.601064] Epoch: [85] [740/850] eta: 0:01:35 lr: 0.002378 loss: 0.0391 (0.0414) loss_rec_all: 0.0748 (0.0773) loss_rec_sfr: 0.1097 (0.1129) loss_cl: -0.3676 (-0.3671) time: 0.8609 data: 0.0002 max mem: 29859 [20:55:45.857987] Epoch: [85] [760/850] eta: 0:01:18 lr: 0.002378 loss: 0.0392 (0.0414) loss_rec_all: 0.0753 (0.0773) loss_rec_sfr: 0.1098 (0.1129) loss_cl: -0.3677 (-0.3672) time: 0.8628 data: 0.0003 max mem: 29859 [20:56:03.148041] Epoch: [85] [780/850] eta: 0:01:00 lr: 0.002378 loss: 0.0374 (0.0413) loss_rec_all: 0.0736 (0.0772) loss_rec_sfr: 0.0950 (0.1127) loss_cl: -0.3674 (-0.3672) time: 0.8644 data: 0.0003 max mem: 29859 [20:56:20.464891] Epoch: [85] [800/850] eta: 0:00:43 lr: 0.002378 loss: 0.0385 (0.0412) loss_rec_all: 0.0743 (0.0772) loss_rec_sfr: 0.1013 (0.1126) loss_cl: -0.3673 (-0.3672) time: 0.8658 data: 0.0002 max mem: 29859 [20:56:37.690804] Epoch: [85] [820/850] eta: 0:00:26 lr: 0.002378 loss: 0.0369 (0.0411) loss_rec_all: 0.0729 (0.0771) loss_rec_sfr: 0.0802 (0.1122) loss_cl: -0.3669 (-0.3672) time: 0.8612 data: 0.0002 max mem: 29859 [20:56:55.057268] Epoch: [85] [840/850] eta: 0:00:08 lr: 0.002378 loss: 0.0375 (0.0411) loss_rec_all: 0.0735 (0.0770) loss_rec_sfr: 0.0900 (0.1120) loss_cl: -0.3668 (-0.3672) time: 0.8683 data: 0.0032 max mem: 29859 [20:57:02.801898] Epoch: [85] [849/850] eta: 0:00:00 lr: 0.002378 loss: 0.0375 (0.0411) loss_rec_all: 0.0737 (0.0770) loss_rec_sfr: 0.0783 (0.1121) loss_cl: -0.3668 (-0.3671) time: 0.8667 data: 0.0032 max mem: 29859 [20:57:02.954024] Epoch: [85] Total time: 0:12:17 (0.8672 s / it) [20:57:02.956412] Averaged stats: lr: 0.002378 loss: 0.0375 (0.0408) loss_rec_all: 0.0737 (0.0768) loss_rec_sfr: 0.0783 (0.1105) loss_cl: -0.3668 (-0.3671) [20:57:02.968609] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [20:57:07.280685] Epoch: [86] [ 0/850] eta: 1:01:04 lr: 0.002378 loss: 0.0406 (0.0406) loss_rec_all: 0.0766 (0.0766) loss_rec_sfr: 0.0823 (0.0823) loss_cl: -0.3665 (-0.3665) time: 4.3115 data: 3.4559 max mem: 29859 [20:57:24.434299] Epoch: [86] [ 20/850] eta: 0:14:08 lr: 0.002378 loss: 0.0376 (0.0385) loss_rec_all: 0.0737 (0.0744) loss_rec_sfr: 0.1103 (0.1119) loss_cl: -0.3672 (-0.3671) time: 0.8576 data: 0.0002 max mem: 29859 [20:57:41.661633] Epoch: [86] [ 40/850] eta: 0:12:44 lr: 0.002378 loss: 0.0378 (0.0382) loss_rec_all: 0.0734 (0.0741) loss_rec_sfr: 0.1158 (0.1155) loss_cl: -0.3677 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [20:57:58.887499] Epoch: [86] [ 60/850] eta: 0:12:04 lr: 0.002378 loss: 0.0357 (0.0379) loss_rec_all: 0.0718 (0.0738) loss_rec_sfr: 0.0888 (0.1107) loss_cl: -0.3675 (-0.3673) time: 0.8612 data: 0.0004 max mem: 29859 [20:58:16.132236] Epoch: [86] [ 80/850] eta: 0:11:35 lr: 0.002378 loss: 0.0356 (0.0377) loss_rec_all: 0.0714 (0.0736) loss_rec_sfr: 0.1091 (0.1091) loss_cl: -0.3676 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [20:58:33.358761] Epoch: [86] [100/850] eta: 0:11:11 lr: 0.002378 loss: 0.0382 (0.0380) loss_rec_all: 0.0740 (0.0740) loss_rec_sfr: 0.1130 (0.1100) loss_cl: -0.3668 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [20:58:50.655222] Epoch: [86] [120/850] eta: 0:10:49 lr: 0.002378 loss: 0.0382 (0.0383) loss_rec_all: 0.0742 (0.0742) loss_rec_sfr: 0.1239 (0.1130) loss_cl: -0.3662 (-0.3671) time: 0.8648 data: 0.0002 max mem: 29859 [20:59:07.850196] Epoch: [86] [140/850] eta: 0:10:28 lr: 0.002378 loss: 0.0392 (0.0386) loss_rec_all: 0.0750 (0.0745) loss_rec_sfr: 0.1170 (0.1140) loss_cl: -0.3667 (-0.3670) time: 0.8597 data: 0.0002 max mem: 29859 [20:59:25.121072] Epoch: [86] [160/850] eta: 0:10:09 lr: 0.002378 loss: 0.0364 (0.0385) loss_rec_all: 0.0726 (0.0745) loss_rec_sfr: 0.0862 (0.1124) loss_cl: -0.3675 (-0.3671) time: 0.8635 data: 0.0002 max mem: 29859 [20:59:42.368513] Epoch: [86] [180/850] eta: 0:09:49 lr: 0.002378 loss: 0.0412 (0.0391) loss_rec_all: 0.0775 (0.0751) loss_rec_sfr: 0.1215 (0.1131) loss_cl: -0.3677 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [20:59:59.608936] Epoch: [86] [200/850] eta: 0:09:31 lr: 0.002378 loss: 0.0418 (0.0394) loss_rec_all: 0.0777 (0.0754) loss_rec_sfr: 0.1304 (0.1149) loss_cl: -0.3673 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [21:00:16.817619] Epoch: [86] [220/850] eta: 0:09:12 lr: 0.002378 loss: 0.0443 (0.0398) loss_rec_all: 0.0802 (0.0757) loss_rec_sfr: 0.1153 (0.1153) loss_cl: -0.3672 (-0.3671) time: 0.8604 data: 0.0002 max mem: 29859 [21:00:34.128882] Epoch: [86] [240/850] eta: 0:08:54 lr: 0.002378 loss: 0.0407 (0.0400) loss_rec_all: 0.0764 (0.0759) loss_rec_sfr: 0.1289 (0.1164) loss_cl: -0.3667 (-0.3671) time: 0.8655 data: 0.0002 max mem: 29859 [21:00:51.332737] Epoch: [86] [260/850] eta: 0:08:36 lr: 0.002378 loss: 0.0390 (0.0400) loss_rec_all: 0.0746 (0.0759) loss_rec_sfr: 0.1192 (0.1162) loss_cl: -0.3669 (-0.3671) time: 0.8601 data: 0.0002 max mem: 29859 [21:01:08.595167] Epoch: [86] [280/850] eta: 0:08:18 lr: 0.002378 loss: 0.0380 (0.0400) loss_rec_all: 0.0740 (0.0759) loss_rec_sfr: 0.0945 (0.1154) loss_cl: -0.3674 (-0.3671) time: 0.8631 data: 0.0002 max mem: 29859 [21:01:25.849622] Epoch: [86] [300/850] eta: 0:08:00 lr: 0.002378 loss: 0.0383 (0.0400) loss_rec_all: 0.0743 (0.0759) loss_rec_sfr: 0.1094 (0.1151) loss_cl: -0.3683 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [21:01:43.090933] Epoch: [86] [320/850] eta: 0:07:42 lr: 0.002378 loss: 0.0383 (0.0399) loss_rec_all: 0.0744 (0.0758) loss_rec_sfr: 0.0931 (0.1148) loss_cl: -0.3678 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [21:02:00.291548] Epoch: [86] [340/850] eta: 0:07:24 lr: 0.002378 loss: 0.0366 (0.0398) loss_rec_all: 0.0729 (0.0757) loss_rec_sfr: 0.0822 (0.1139) loss_cl: -0.3671 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [21:02:17.661418] Epoch: [86] [360/850] eta: 0:07:07 lr: 0.002378 loss: 0.0386 (0.0397) loss_rec_all: 0.0745 (0.0757) loss_rec_sfr: 0.1201 (0.1143) loss_cl: -0.3673 (-0.3672) time: 0.8684 data: 0.0003 max mem: 29859 [21:02:34.872666] Epoch: [86] [380/850] eta: 0:06:49 lr: 0.002378 loss: 0.0372 (0.0397) loss_rec_all: 0.0729 (0.0756) loss_rec_sfr: 0.1145 (0.1144) loss_cl: -0.3671 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [21:02:52.108274] Epoch: [86] [400/850] eta: 0:06:31 lr: 0.002378 loss: 0.0377 (0.0396) loss_rec_all: 0.0735 (0.0755) loss_rec_sfr: 0.1286 (0.1146) loss_cl: -0.3676 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [21:03:09.380284] Epoch: [86] [420/850] eta: 0:06:14 lr: 0.002378 loss: 0.0374 (0.0395) loss_rec_all: 0.0733 (0.0755) loss_rec_sfr: 0.0942 (0.1144) loss_cl: -0.3679 (-0.3672) time: 0.8635 data: 0.0003 max mem: 29859 [21:03:26.622461] Epoch: [86] [440/850] eta: 0:05:56 lr: 0.002378 loss: 0.0370 (0.0395) loss_rec_all: 0.0730 (0.0754) loss_rec_sfr: 0.0988 (0.1139) loss_cl: -0.3671 (-0.3672) time: 0.8621 data: 0.0001 max mem: 29859 [21:03:43.819559] Epoch: [86] [460/850] eta: 0:05:39 lr: 0.002378 loss: 0.0368 (0.0394) loss_rec_all: 0.0725 (0.0753) loss_rec_sfr: 0.1147 (0.1139) loss_cl: -0.3672 (-0.3672) time: 0.8598 data: 0.0002 max mem: 29859 [21:04:01.130033] Epoch: [86] [480/850] eta: 0:05:21 lr: 0.002378 loss: 0.0368 (0.0394) loss_rec_all: 0.0729 (0.0753) loss_rec_sfr: 0.0904 (0.1133) loss_cl: -0.3666 (-0.3672) time: 0.8655 data: 0.0002 max mem: 29859 [21:04:18.335949] Epoch: [86] [500/850] eta: 0:05:04 lr: 0.002378 loss: 0.0373 (0.0394) loss_rec_all: 0.0734 (0.0753) loss_rec_sfr: 0.1156 (0.1130) loss_cl: -0.3664 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [21:04:35.568666] Epoch: [86] [520/850] eta: 0:04:46 lr: 0.002378 loss: 0.0392 (0.0393) loss_rec_all: 0.0748 (0.0753) loss_rec_sfr: 0.0989 (0.1129) loss_cl: -0.3663 (-0.3671) time: 0.8616 data: 0.0002 max mem: 29859 [21:04:52.806533] Epoch: [86] [540/850] eta: 0:04:29 lr: 0.002378 loss: 0.0390 (0.0393) loss_rec_all: 0.0749 (0.0753) loss_rec_sfr: 0.1198 (0.1131) loss_cl: -0.3667 (-0.3671) time: 0.8618 data: 0.0002 max mem: 29859 [21:05:10.073488] Epoch: [86] [560/850] eta: 0:04:11 lr: 0.002378 loss: 0.0372 (0.0393) loss_rec_all: 0.0734 (0.0752) loss_rec_sfr: 0.0806 (0.1126) loss_cl: -0.3674 (-0.3671) time: 0.8633 data: 0.0002 max mem: 29859 [21:05:27.272457] Epoch: [86] [580/850] eta: 0:03:54 lr: 0.002378 loss: 0.0380 (0.0392) loss_rec_all: 0.0739 (0.0752) loss_rec_sfr: 0.1278 (0.1127) loss_cl: -0.3680 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [21:05:44.554593] Epoch: [86] [600/850] eta: 0:03:36 lr: 0.002378 loss: 0.0368 (0.0392) loss_rec_all: 0.0729 (0.0751) loss_rec_sfr: 0.0932 (0.1126) loss_cl: -0.3681 (-0.3672) time: 0.8640 data: 0.0003 max mem: 29859 [21:06:01.818079] Epoch: [86] [620/850] eta: 0:03:19 lr: 0.002378 loss: 0.0363 (0.0392) loss_rec_all: 0.0725 (0.0751) loss_rec_sfr: 0.1155 (0.1124) loss_cl: -0.3679 (-0.3672) time: 0.8631 data: 0.0003 max mem: 29859 [21:06:19.058603] Epoch: [86] [640/850] eta: 0:03:02 lr: 0.002378 loss: 0.0376 (0.0392) loss_rec_all: 0.0733 (0.0751) loss_rec_sfr: 0.1170 (0.1126) loss_cl: -0.3673 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [21:06:36.372128] Epoch: [86] [660/850] eta: 0:02:44 lr: 0.002378 loss: 0.0392 (0.0392) loss_rec_all: 0.0749 (0.0751) loss_rec_sfr: 0.1078 (0.1127) loss_cl: -0.3673 (-0.3672) time: 0.8656 data: 0.0003 max mem: 29859 [21:06:53.867978] Epoch: [86] [680/850] eta: 0:02:27 lr: 0.002378 loss: 0.0387 (0.0392) loss_rec_all: 0.0744 (0.0751) loss_rec_sfr: 0.1133 (0.1126) loss_cl: -0.3669 (-0.3672) time: 0.8747 data: 0.0002 max mem: 29859 [21:07:11.068212] Epoch: [86] [700/850] eta: 0:02:10 lr: 0.002378 loss: 0.0432 (0.0394) loss_rec_all: 0.0787 (0.0753) loss_rec_sfr: 0.1330 (0.1128) loss_cl: -0.3666 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [21:07:28.346749] Epoch: [86] [720/850] eta: 0:01:52 lr: 0.002378 loss: 0.0400 (0.0394) loss_rec_all: 0.0760 (0.0753) loss_rec_sfr: 0.0943 (0.1126) loss_cl: -0.3663 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [21:07:45.598585] Epoch: [86] [740/850] eta: 0:01:35 lr: 0.002378 loss: 0.0393 (0.0394) loss_rec_all: 0.0753 (0.0754) loss_rec_sfr: 0.0838 (0.1123) loss_cl: -0.3666 (-0.3671) time: 0.8625 data: 0.0002 max mem: 29859 [21:08:02.921502] Epoch: [86] [760/850] eta: 0:01:18 lr: 0.002378 loss: 0.0427 (0.0396) loss_rec_all: 0.0783 (0.0755) loss_rec_sfr: 0.1319 (0.1126) loss_cl: -0.3671 (-0.3671) time: 0.8661 data: 0.0003 max mem: 29859 [21:08:20.157213] Epoch: [86] [780/850] eta: 0:01:00 lr: 0.002378 loss: 0.0424 (0.0397) loss_rec_all: 0.0785 (0.0756) loss_rec_sfr: 0.1338 (0.1129) loss_cl: -0.3674 (-0.3671) time: 0.8617 data: 0.0002 max mem: 29859 [21:08:37.473701] Epoch: [86] [800/850] eta: 0:00:43 lr: 0.002377 loss: 0.0432 (0.0398) loss_rec_all: 0.0789 (0.0758) loss_rec_sfr: 0.1552 (0.1134) loss_cl: -0.3681 (-0.3672) time: 0.8658 data: 0.0003 max mem: 29859 [21:08:54.665849] Epoch: [86] [820/850] eta: 0:00:26 lr: 0.002377 loss: 0.0406 (0.0399) loss_rec_all: 0.0764 (0.0758) loss_rec_sfr: 0.1262 (0.1136) loss_cl: -0.3680 (-0.3672) time: 0.8596 data: 0.0002 max mem: 29859 [21:09:12.032824] Epoch: [86] [840/850] eta: 0:00:08 lr: 0.002377 loss: 0.0401 (0.0400) loss_rec_all: 0.0762 (0.0759) loss_rec_sfr: 0.1153 (0.1135) loss_cl: -0.3673 (-0.3672) time: 0.8683 data: 0.0007 max mem: 29859 [21:09:19.821440] Epoch: [86] [849/850] eta: 0:00:00 lr: 0.002377 loss: 0.0399 (0.0400) loss_rec_all: 0.0757 (0.0759) loss_rec_sfr: 0.1200 (0.1134) loss_cl: -0.3670 (-0.3672) time: 0.8679 data: 0.0006 max mem: 29859 [21:09:19.979091] Epoch: [86] Total time: 0:12:17 (0.8671 s / it) [21:09:19.989474] Averaged stats: lr: 0.002377 loss: 0.0399 (0.0399) loss_rec_all: 0.0757 (0.0758) loss_rec_sfr: 0.1200 (0.1119) loss_cl: -0.3670 (-0.3671) [21:09:20.002113] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [21:09:24.353104] Epoch: [87] [ 0/850] eta: 1:01:37 lr: 0.002377 loss: 0.0398 (0.0398) loss_rec_all: 0.0759 (0.0759) loss_rec_sfr: 0.0772 (0.0772) loss_cl: -0.3668 (-0.3668) time: 4.3502 data: 3.4951 max mem: 29859 [21:09:41.541602] Epoch: [87] [ 20/850] eta: 0:14:11 lr: 0.002377 loss: 0.0369 (0.0377) loss_rec_all: 0.0728 (0.0736) loss_rec_sfr: 0.1059 (0.1091) loss_cl: -0.3666 (-0.3665) time: 0.8594 data: 0.0002 max mem: 29859 [21:09:58.792379] Epoch: [87] [ 40/850] eta: 0:12:46 lr: 0.002377 loss: 0.0362 (0.0374) loss_rec_all: 0.0723 (0.0733) loss_rec_sfr: 0.0872 (0.1062) loss_cl: -0.3664 (-0.3664) time: 0.8625 data: 0.0002 max mem: 29859 [21:10:16.067191] Epoch: [87] [ 60/850] eta: 0:12:06 lr: 0.002377 loss: 0.0355 (0.0373) loss_rec_all: 0.0717 (0.0732) loss_rec_sfr: 0.0845 (0.1047) loss_cl: -0.3673 (-0.3666) time: 0.8637 data: 0.0003 max mem: 29859 [21:10:33.314917] Epoch: [87] [ 80/850] eta: 0:11:36 lr: 0.002377 loss: 0.0363 (0.0372) loss_rec_all: 0.0725 (0.0731) loss_rec_sfr: 0.0917 (0.1042) loss_cl: -0.3675 (-0.3668) time: 0.8623 data: 0.0002 max mem: 29859 [21:10:50.521610] Epoch: [87] [100/850] eta: 0:11:12 lr: 0.002377 loss: 0.0358 (0.0371) loss_rec_all: 0.0719 (0.0731) loss_rec_sfr: 0.0843 (0.1025) loss_cl: -0.3675 (-0.3669) time: 0.8603 data: 0.0002 max mem: 29859 [21:11:07.916585] Epoch: [87] [120/850] eta: 0:10:51 lr: 0.002377 loss: 0.0379 (0.0375) loss_rec_all: 0.0737 (0.0735) loss_rec_sfr: 0.1106 (0.1035) loss_cl: -0.3679 (-0.3671) time: 0.8697 data: 0.0003 max mem: 29859 [21:11:25.122954] Epoch: [87] [140/850] eta: 0:10:29 lr: 0.002377 loss: 0.0373 (0.0377) loss_rec_all: 0.0729 (0.0737) loss_rec_sfr: 0.1194 (0.1060) loss_cl: -0.3672 (-0.3671) time: 0.8602 data: 0.0002 max mem: 29859 [21:11:42.369342] Epoch: [87] [160/850] eta: 0:10:10 lr: 0.002377 loss: 0.0401 (0.0381) loss_rec_all: 0.0757 (0.0740) loss_rec_sfr: 0.1178 (0.1075) loss_cl: -0.3671 (-0.3671) time: 0.8623 data: 0.0002 max mem: 29859 [21:11:59.664259] Epoch: [87] [180/850] eta: 0:09:50 lr: 0.002377 loss: 0.0370 (0.0381) loss_rec_all: 0.0729 (0.0740) loss_rec_sfr: 0.1258 (0.1083) loss_cl: -0.3673 (-0.3671) time: 0.8647 data: 0.0003 max mem: 29859 [21:12:16.918473] Epoch: [87] [200/850] eta: 0:09:32 lr: 0.002377 loss: 0.0369 (0.0381) loss_rec_all: 0.0729 (0.0740) loss_rec_sfr: 0.0883 (0.1075) loss_cl: -0.3672 (-0.3671) time: 0.8627 data: 0.0002 max mem: 29859 [21:12:34.119867] Epoch: [87] [220/850] eta: 0:09:13 lr: 0.002377 loss: 0.0371 (0.0382) loss_rec_all: 0.0731 (0.0742) loss_rec_sfr: 0.0915 (0.1072) loss_cl: -0.3669 (-0.3671) time: 0.8600 data: 0.0002 max mem: 29859 [21:12:51.727845] Epoch: [87] [240/850] eta: 0:08:55 lr: 0.002377 loss: 0.0382 (0.0382) loss_rec_all: 0.0739 (0.0742) loss_rec_sfr: 0.1107 (0.1076) loss_cl: -0.3672 (-0.3671) time: 0.8803 data: 0.0004 max mem: 29859 [21:13:08.947166] Epoch: [87] [260/850] eta: 0:08:37 lr: 0.002377 loss: 0.0390 (0.0384) loss_rec_all: 0.0750 (0.0744) loss_rec_sfr: 0.1213 (0.1088) loss_cl: -0.3675 (-0.3671) time: 0.8609 data: 0.0002 max mem: 29859 [21:13:26.206782] Epoch: [87] [280/850] eta: 0:08:19 lr: 0.002377 loss: 0.0367 (0.0383) loss_rec_all: 0.0727 (0.0743) loss_rec_sfr: 0.0750 (0.1081) loss_cl: -0.3680 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [21:13:43.487442] Epoch: [87] [300/850] eta: 0:08:01 lr: 0.002377 loss: 0.0376 (0.0383) loss_rec_all: 0.0733 (0.0743) loss_rec_sfr: 0.0900 (0.1083) loss_cl: -0.3680 (-0.3672) time: 0.8640 data: 0.0003 max mem: 29859 [21:14:00.755419] Epoch: [87] [320/850] eta: 0:07:43 lr: 0.002377 loss: 0.0384 (0.0385) loss_rec_all: 0.0746 (0.0745) loss_rec_sfr: 0.1116 (0.1087) loss_cl: -0.3675 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [21:14:17.971745] Epoch: [87] [340/850] eta: 0:07:25 lr: 0.002377 loss: 0.0384 (0.0385) loss_rec_all: 0.0741 (0.0745) loss_rec_sfr: 0.0851 (0.1087) loss_cl: -0.3667 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [21:14:35.261329] Epoch: [87] [360/850] eta: 0:07:07 lr: 0.002377 loss: 0.0390 (0.0386) loss_rec_all: 0.0749 (0.0745) loss_rec_sfr: 0.1214 (0.1090) loss_cl: -0.3666 (-0.3672) time: 0.8644 data: 0.0002 max mem: 29859 [21:14:52.521260] Epoch: [87] [380/850] eta: 0:06:50 lr: 0.002377 loss: 0.0362 (0.0385) loss_rec_all: 0.0724 (0.0745) loss_rec_sfr: 0.0799 (0.1083) loss_cl: -0.3666 (-0.3671) time: 0.8629 data: 0.0002 max mem: 29859 [21:15:09.763225] Epoch: [87] [400/850] eta: 0:06:32 lr: 0.002377 loss: 0.0370 (0.0385) loss_rec_all: 0.0729 (0.0745) loss_rec_sfr: 0.1174 (0.1088) loss_cl: -0.3674 (-0.3671) time: 0.8621 data: 0.0002 max mem: 29859 [21:15:27.027878] Epoch: [87] [420/850] eta: 0:06:14 lr: 0.002377 loss: 0.0366 (0.0385) loss_rec_all: 0.0727 (0.0744) loss_rec_sfr: 0.1172 (0.1091) loss_cl: -0.3674 (-0.3672) time: 0.8632 data: 0.0003 max mem: 29859 [21:15:44.311193] Epoch: [87] [440/850] eta: 0:05:57 lr: 0.002377 loss: 0.0366 (0.0385) loss_rec_all: 0.0729 (0.0745) loss_rec_sfr: 0.0860 (0.1087) loss_cl: -0.3668 (-0.3671) time: 0.8641 data: 0.0002 max mem: 29859 [21:16:01.521330] Epoch: [87] [460/850] eta: 0:05:39 lr: 0.002377 loss: 0.0367 (0.0385) loss_rec_all: 0.0725 (0.0744) loss_rec_sfr: 0.0921 (0.1084) loss_cl: -0.3673 (-0.3671) time: 0.8605 data: 0.0002 max mem: 29859 [21:16:18.810608] Epoch: [87] [480/850] eta: 0:05:22 lr: 0.002377 loss: 0.0366 (0.0385) loss_rec_all: 0.0724 (0.0744) loss_rec_sfr: 0.0892 (0.1082) loss_cl: -0.3671 (-0.3671) time: 0.8644 data: 0.0002 max mem: 29859 [21:16:36.069148] Epoch: [87] [500/850] eta: 0:05:04 lr: 0.002377 loss: 0.0371 (0.0384) loss_rec_all: 0.0727 (0.0744) loss_rec_sfr: 0.1155 (0.1084) loss_cl: -0.3670 (-0.3671) time: 0.8628 data: 0.0002 max mem: 29859 [21:16:53.312995] Epoch: [87] [520/850] eta: 0:04:47 lr: 0.002377 loss: 0.0379 (0.0385) loss_rec_all: 0.0739 (0.0744) loss_rec_sfr: 0.1161 (0.1089) loss_cl: -0.3672 (-0.3671) time: 0.8621 data: 0.0002 max mem: 29859 [21:17:10.520527] Epoch: [87] [540/850] eta: 0:04:29 lr: 0.002377 loss: 0.0364 (0.0384) loss_rec_all: 0.0722 (0.0744) loss_rec_sfr: 0.0822 (0.1087) loss_cl: -0.3673 (-0.3671) time: 0.8603 data: 0.0002 max mem: 29859 [21:17:27.819014] Epoch: [87] [560/850] eta: 0:04:12 lr: 0.002377 loss: 0.0370 (0.0384) loss_rec_all: 0.0730 (0.0743) loss_rec_sfr: 0.0960 (0.1085) loss_cl: -0.3678 (-0.3672) time: 0.8649 data: 0.0002 max mem: 29859 [21:17:45.114039] Epoch: [87] [580/850] eta: 0:03:54 lr: 0.002377 loss: 0.0367 (0.0384) loss_rec_all: 0.0729 (0.0743) loss_rec_sfr: 0.0869 (0.1082) loss_cl: -0.3678 (-0.3672) time: 0.8647 data: 0.0002 max mem: 29859 [21:18:02.386272] Epoch: [87] [600/850] eta: 0:03:37 lr: 0.002377 loss: 0.0375 (0.0384) loss_rec_all: 0.0736 (0.0743) loss_rec_sfr: 0.0929 (0.1084) loss_cl: -0.3679 (-0.3672) time: 0.8636 data: 0.0002 max mem: 29859 [21:18:19.652807] Epoch: [87] [620/850] eta: 0:03:19 lr: 0.002377 loss: 0.0374 (0.0384) loss_rec_all: 0.0736 (0.0744) loss_rec_sfr: 0.1184 (0.1086) loss_cl: -0.3673 (-0.3672) time: 0.8633 data: 0.0003 max mem: 29859 [21:18:36.910660] Epoch: [87] [640/850] eta: 0:03:02 lr: 0.002377 loss: 0.0388 (0.0385) loss_rec_all: 0.0750 (0.0744) loss_rec_sfr: 0.0853 (0.1082) loss_cl: -0.3667 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [21:18:54.154500] Epoch: [87] [660/850] eta: 0:02:45 lr: 0.002377 loss: 0.0386 (0.0385) loss_rec_all: 0.0745 (0.0744) loss_rec_sfr: 0.0932 (0.1084) loss_cl: -0.3671 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [21:19:11.488207] Epoch: [87] [680/850] eta: 0:02:27 lr: 0.002377 loss: 0.0390 (0.0385) loss_rec_all: 0.0746 (0.0744) loss_rec_sfr: 0.1245 (0.1089) loss_cl: -0.3671 (-0.3672) time: 0.8666 data: 0.0002 max mem: 29859 [21:19:28.707075] Epoch: [87] [700/850] eta: 0:02:10 lr: 0.002377 loss: 0.0379 (0.0385) loss_rec_all: 0.0737 (0.0744) loss_rec_sfr: 0.0969 (0.1088) loss_cl: -0.3665 (-0.3671) time: 0.8609 data: 0.0002 max mem: 29859 [21:19:45.965497] Epoch: [87] [720/850] eta: 0:01:52 lr: 0.002377 loss: 0.0381 (0.0385) loss_rec_all: 0.0743 (0.0745) loss_rec_sfr: 0.1110 (0.1090) loss_cl: -0.3670 (-0.3671) time: 0.8629 data: 0.0002 max mem: 29859 [21:20:03.368535] Epoch: [87] [740/850] eta: 0:01:35 lr: 0.002377 loss: 0.0382 (0.0385) loss_rec_all: 0.0740 (0.0745) loss_rec_sfr: 0.1230 (0.1094) loss_cl: -0.3669 (-0.3671) time: 0.8701 data: 0.0003 max mem: 29859 [21:20:20.687225] Epoch: [87] [760/850] eta: 0:01:18 lr: 0.002377 loss: 0.0381 (0.0386) loss_rec_all: 0.0739 (0.0745) loss_rec_sfr: 0.0922 (0.1094) loss_cl: -0.3666 (-0.3671) time: 0.8659 data: 0.0003 max mem: 29859 [21:20:37.894116] Epoch: [87] [780/850] eta: 0:01:00 lr: 0.002377 loss: 0.0373 (0.0385) loss_rec_all: 0.0732 (0.0745) loss_rec_sfr: 0.0927 (0.1092) loss_cl: -0.3674 (-0.3671) time: 0.8603 data: 0.0002 max mem: 29859 [21:20:55.252598] Epoch: [87] [800/850] eta: 0:00:43 lr: 0.002377 loss: 0.0369 (0.0385) loss_rec_all: 0.0731 (0.0745) loss_rec_sfr: 0.0846 (0.1091) loss_cl: -0.3676 (-0.3671) time: 0.8679 data: 0.0002 max mem: 29859 [21:21:12.453703] Epoch: [87] [820/850] eta: 0:00:26 lr: 0.002376 loss: 0.0359 (0.0385) loss_rec_all: 0.0719 (0.0744) loss_rec_sfr: 0.0859 (0.1090) loss_cl: -0.3674 (-0.3671) time: 0.8600 data: 0.0002 max mem: 29859 [21:21:29.739214] Epoch: [87] [840/850] eta: 0:00:08 lr: 0.002376 loss: 0.0371 (0.0385) loss_rec_all: 0.0729 (0.0744) loss_rec_sfr: 0.0869 (0.1089) loss_cl: -0.3675 (-0.3672) time: 0.8642 data: 0.0005 max mem: 29859 [21:21:37.510193] Epoch: [87] [849/850] eta: 0:00:00 lr: 0.002376 loss: 0.0372 (0.0385) loss_rec_all: 0.0729 (0.0744) loss_rec_sfr: 0.1238 (0.1092) loss_cl: -0.3674 (-0.3672) time: 0.8653 data: 0.0005 max mem: 29859 [21:21:37.660139] Epoch: [87] Total time: 0:12:17 (0.8678 s / it) [21:21:37.674999] Averaged stats: lr: 0.002376 loss: 0.0372 (0.0385) loss_rec_all: 0.0729 (0.0744) loss_rec_sfr: 0.1238 (0.1091) loss_cl: -0.3674 (-0.3671) [21:21:37.686761] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [21:21:42.315054] Epoch: [88] [ 0/850] eta: 1:05:33 lr: 0.002376 loss: 0.0392 (0.0392) loss_rec_all: 0.0750 (0.0750) loss_rec_sfr: 0.1329 (0.1329) loss_cl: -0.3675 (-0.3675) time: 4.6273 data: 3.7700 max mem: 29859 [21:21:59.488087] Epoch: [88] [ 20/850] eta: 0:14:21 lr: 0.002376 loss: 0.0361 (0.0367) loss_rec_all: 0.0723 (0.0727) loss_rec_sfr: 0.0874 (0.1007) loss_cl: -0.3668 (-0.3670) time: 0.8586 data: 0.0002 max mem: 29859 [21:22:16.731369] Epoch: [88] [ 40/850] eta: 0:12:51 lr: 0.002376 loss: 0.0363 (0.0371) loss_rec_all: 0.0724 (0.0731) loss_rec_sfr: 0.0882 (0.0984) loss_cl: -0.3672 (-0.3670) time: 0.8621 data: 0.0002 max mem: 29859 [21:22:34.047585] Epoch: [88] [ 60/850] eta: 0:12:09 lr: 0.002376 loss: 0.0405 (0.0387) loss_rec_all: 0.0762 (0.0747) loss_rec_sfr: 0.1165 (0.1032) loss_cl: -0.3672 (-0.3671) time: 0.8658 data: 0.0003 max mem: 29859 [21:22:51.287508] Epoch: [88] [ 80/850] eta: 0:11:39 lr: 0.002376 loss: 0.0412 (0.0399) loss_rec_all: 0.0774 (0.0759) loss_rec_sfr: 0.0987 (0.1057) loss_cl: -0.3673 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [21:23:08.492020] Epoch: [88] [100/850] eta: 0:11:14 lr: 0.002376 loss: 0.0422 (0.0407) loss_rec_all: 0.0783 (0.0767) loss_rec_sfr: 0.0900 (0.1075) loss_cl: -0.3673 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [21:23:25.830126] Epoch: [88] [120/850] eta: 0:10:52 lr: 0.002376 loss: 0.0415 (0.0410) loss_rec_all: 0.0776 (0.0770) loss_rec_sfr: 0.1030 (0.1088) loss_cl: -0.3671 (-0.3672) time: 0.8669 data: 0.0003 max mem: 29859 [21:23:43.052412] Epoch: [88] [140/850] eta: 0:10:31 lr: 0.002376 loss: 0.0418 (0.0412) loss_rec_all: 0.0779 (0.0771) loss_rec_sfr: 0.0969 (0.1094) loss_cl: -0.3671 (-0.3672) time: 0.8611 data: 0.0002 max mem: 29859 [21:24:00.302338] Epoch: [88] [160/850] eta: 0:10:11 lr: 0.002376 loss: 0.0386 (0.0411) loss_rec_all: 0.0747 (0.0771) loss_rec_sfr: 0.0923 (0.1083) loss_cl: -0.3669 (-0.3671) time: 0.8625 data: 0.0002 max mem: 29859 [21:24:17.568285] Epoch: [88] [180/850] eta: 0:09:51 lr: 0.002376 loss: 0.0385 (0.0410) loss_rec_all: 0.0745 (0.0770) loss_rec_sfr: 0.1151 (0.1083) loss_cl: -0.3672 (-0.3672) time: 0.8632 data: 0.0002 max mem: 29859 [21:24:34.860776] Epoch: [88] [200/850] eta: 0:09:32 lr: 0.002376 loss: 0.0381 (0.0408) loss_rec_all: 0.0743 (0.0768) loss_rec_sfr: 0.0899 (0.1081) loss_cl: -0.3673 (-0.3672) time: 0.8646 data: 0.0002 max mem: 29859 [21:24:52.069384] Epoch: [88] [220/850] eta: 0:09:14 lr: 0.002376 loss: 0.0369 (0.0406) loss_rec_all: 0.0732 (0.0766) loss_rec_sfr: 0.0899 (0.1069) loss_cl: -0.3677 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [21:25:09.541539] Epoch: [88] [240/850] eta: 0:08:56 lr: 0.002376 loss: 0.0376 (0.0404) loss_rec_all: 0.0735 (0.0764) loss_rec_sfr: 0.1113 (0.1070) loss_cl: -0.3680 (-0.3673) time: 0.8735 data: 0.0004 max mem: 29859 [21:25:26.843961] Epoch: [88] [260/850] eta: 0:08:37 lr: 0.002376 loss: 0.0351 (0.0401) loss_rec_all: 0.0713 (0.0761) loss_rec_sfr: 0.0751 (0.1060) loss_cl: -0.3676 (-0.3673) time: 0.8651 data: 0.0002 max mem: 29859 [21:25:44.089935] Epoch: [88] [280/850] eta: 0:08:19 lr: 0.002376 loss: 0.0358 (0.0399) loss_rec_all: 0.0717 (0.0759) loss_rec_sfr: 0.1186 (0.1061) loss_cl: -0.3667 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [21:26:01.384604] Epoch: [88] [300/850] eta: 0:08:01 lr: 0.002376 loss: 0.0356 (0.0397) loss_rec_all: 0.0719 (0.0757) loss_rec_sfr: 0.0809 (0.1056) loss_cl: -0.3673 (-0.3673) time: 0.8647 data: 0.0003 max mem: 29859 [21:26:18.717443] Epoch: [88] [320/850] eta: 0:07:43 lr: 0.002376 loss: 0.0375 (0.0396) loss_rec_all: 0.0731 (0.0756) loss_rec_sfr: 0.0999 (0.1056) loss_cl: -0.3669 (-0.3672) time: 0.8666 data: 0.0003 max mem: 29859 [21:26:35.951400] Epoch: [88] [340/850] eta: 0:07:26 lr: 0.002376 loss: 0.0357 (0.0395) loss_rec_all: 0.0716 (0.0755) loss_rec_sfr: 0.0824 (0.1050) loss_cl: -0.3661 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [21:26:53.274149] Epoch: [88] [360/850] eta: 0:07:08 lr: 0.002376 loss: 0.0368 (0.0394) loss_rec_all: 0.0728 (0.0754) loss_rec_sfr: 0.1013 (0.1049) loss_cl: -0.3671 (-0.3672) time: 0.8660 data: 0.0002 max mem: 29859 [21:27:10.533043] Epoch: [88] [380/850] eta: 0:06:50 lr: 0.002376 loss: 0.0371 (0.0394) loss_rec_all: 0.0728 (0.0753) loss_rec_sfr: 0.1182 (0.1055) loss_cl: -0.3672 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [21:27:27.840714] Epoch: [88] [400/850] eta: 0:06:32 lr: 0.002376 loss: 0.0369 (0.0393) loss_rec_all: 0.0730 (0.0753) loss_rec_sfr: 0.1228 (0.1061) loss_cl: -0.3671 (-0.3672) time: 0.8653 data: 0.0002 max mem: 29859 [21:27:45.152795] Epoch: [88] [420/850] eta: 0:06:15 lr: 0.002376 loss: 0.0364 (0.0392) loss_rec_all: 0.0725 (0.0752) loss_rec_sfr: 0.0933 (0.1061) loss_cl: -0.3671 (-0.3672) time: 0.8655 data: 0.0002 max mem: 29859 [21:28:02.460244] Epoch: [88] [440/850] eta: 0:05:57 lr: 0.002376 loss: 0.0359 (0.0392) loss_rec_all: 0.0720 (0.0751) loss_rec_sfr: 0.1156 (0.1063) loss_cl: -0.3669 (-0.3671) time: 0.8653 data: 0.0002 max mem: 29859 [21:28:19.682283] Epoch: [88] [460/850] eta: 0:05:40 lr: 0.002376 loss: 0.0363 (0.0391) loss_rec_all: 0.0723 (0.0750) loss_rec_sfr: 0.0863 (0.1062) loss_cl: -0.3668 (-0.3671) time: 0.8610 data: 0.0002 max mem: 29859 [21:28:36.948574] Epoch: [88] [480/850] eta: 0:05:22 lr: 0.002376 loss: 0.0373 (0.0390) loss_rec_all: 0.0731 (0.0749) loss_rec_sfr: 0.0956 (0.1063) loss_cl: -0.3673 (-0.3671) time: 0.8632 data: 0.0002 max mem: 29859 [21:28:54.257081] Epoch: [88] [500/850] eta: 0:05:04 lr: 0.002376 loss: 0.0352 (0.0389) loss_rec_all: 0.0713 (0.0749) loss_rec_sfr: 0.0864 (0.1062) loss_cl: -0.3673 (-0.3671) time: 0.8654 data: 0.0002 max mem: 29859 [21:29:11.505032] Epoch: [88] [520/850] eta: 0:04:47 lr: 0.002376 loss: 0.0354 (0.0388) loss_rec_all: 0.0715 (0.0748) loss_rec_sfr: 0.0903 (0.1064) loss_cl: -0.3674 (-0.3671) time: 0.8624 data: 0.0002 max mem: 29859 [21:29:28.730726] Epoch: [88] [540/850] eta: 0:04:29 lr: 0.002376 loss: 0.0372 (0.0388) loss_rec_all: 0.0731 (0.0748) loss_rec_sfr: 0.1226 (0.1067) loss_cl: -0.3669 (-0.3671) time: 0.8612 data: 0.0002 max mem: 29859 [21:29:46.042848] Epoch: [88] [560/850] eta: 0:04:12 lr: 0.002376 loss: 0.0349 (0.0387) loss_rec_all: 0.0708 (0.0747) loss_rec_sfr: 0.0826 (0.1064) loss_cl: -0.3673 (-0.3671) time: 0.8656 data: 0.0003 max mem: 29859 [21:30:03.248347] Epoch: [88] [580/850] eta: 0:03:54 lr: 0.002376 loss: 0.0381 (0.0387) loss_rec_all: 0.0739 (0.0747) loss_rec_sfr: 0.1118 (0.1067) loss_cl: -0.3671 (-0.3671) time: 0.8602 data: 0.0002 max mem: 29859 [21:30:20.502239] Epoch: [88] [600/850] eta: 0:03:37 lr: 0.002376 loss: 0.0384 (0.0387) loss_rec_all: 0.0744 (0.0747) loss_rec_sfr: 0.0963 (0.1069) loss_cl: -0.3675 (-0.3671) time: 0.8626 data: 0.0002 max mem: 29859 [21:30:37.835036] Epoch: [88] [620/850] eta: 0:03:20 lr: 0.002376 loss: 0.0393 (0.0388) loss_rec_all: 0.0751 (0.0747) loss_rec_sfr: 0.1095 (0.1071) loss_cl: -0.3678 (-0.3672) time: 0.8666 data: 0.0003 max mem: 29859 [21:30:55.071670] Epoch: [88] [640/850] eta: 0:03:02 lr: 0.002376 loss: 0.0397 (0.0389) loss_rec_all: 0.0759 (0.0748) loss_rec_sfr: 0.1156 (0.1075) loss_cl: -0.3674 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [21:31:12.289241] Epoch: [88] [660/850] eta: 0:02:45 lr: 0.002376 loss: 0.0418 (0.0389) loss_rec_all: 0.0780 (0.0749) loss_rec_sfr: 0.0874 (0.1072) loss_cl: -0.3675 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [21:31:29.724670] Epoch: [88] [680/850] eta: 0:02:27 lr: 0.002376 loss: 0.0412 (0.0391) loss_rec_all: 0.0770 (0.0750) loss_rec_sfr: 0.1202 (0.1078) loss_cl: -0.3677 (-0.3672) time: 0.8717 data: 0.0004 max mem: 29859 [21:31:46.933964] Epoch: [88] [700/850] eta: 0:02:10 lr: 0.002376 loss: 0.0385 (0.0391) loss_rec_all: 0.0745 (0.0750) loss_rec_sfr: 0.1018 (0.1079) loss_cl: -0.3668 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [21:32:04.194211] Epoch: [88] [720/850] eta: 0:01:52 lr: 0.002376 loss: 0.0396 (0.0391) loss_rec_all: 0.0756 (0.0751) loss_rec_sfr: 0.1143 (0.1079) loss_cl: -0.3668 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [21:32:21.563976] Epoch: [88] [740/850] eta: 0:01:35 lr: 0.002376 loss: 0.0382 (0.0391) loss_rec_all: 0.0744 (0.0751) loss_rec_sfr: 0.1113 (0.1079) loss_cl: -0.3674 (-0.3672) time: 0.8684 data: 0.0003 max mem: 29859 [21:32:38.834794] Epoch: [88] [760/850] eta: 0:01:18 lr: 0.002376 loss: 0.0374 (0.0391) loss_rec_all: 0.0736 (0.0751) loss_rec_sfr: 0.0912 (0.1077) loss_cl: -0.3673 (-0.3672) time: 0.8635 data: 0.0002 max mem: 29859 [21:32:56.047769] Epoch: [88] [780/850] eta: 0:01:00 lr: 0.002376 loss: 0.0392 (0.0392) loss_rec_all: 0.0754 (0.0752) loss_rec_sfr: 0.1162 (0.1079) loss_cl: -0.3678 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [21:33:13.370480] Epoch: [88] [800/850] eta: 0:00:43 lr: 0.002376 loss: 0.0415 (0.0393) loss_rec_all: 0.0773 (0.0753) loss_rec_sfr: 0.1177 (0.1080) loss_cl: -0.3678 (-0.3672) time: 0.8661 data: 0.0002 max mem: 29859 [21:33:30.593849] Epoch: [88] [820/850] eta: 0:00:26 lr: 0.002376 loss: 0.0369 (0.0393) loss_rec_all: 0.0728 (0.0752) loss_rec_sfr: 0.0879 (0.1079) loss_cl: -0.3674 (-0.3672) time: 0.8611 data: 0.0002 max mem: 29859 [21:33:47.841029] Epoch: [88] [840/850] eta: 0:00:08 lr: 0.002375 loss: 0.0367 (0.0392) loss_rec_all: 0.0727 (0.0752) loss_rec_sfr: 0.1119 (0.1080) loss_cl: -0.3669 (-0.3672) time: 0.8623 data: 0.0005 max mem: 29859 [21:33:55.589934] Epoch: [88] [849/850] eta: 0:00:00 lr: 0.002375 loss: 0.0356 (0.0392) loss_rec_all: 0.0716 (0.0752) loss_rec_sfr: 0.0840 (0.1079) loss_cl: -0.3667 (-0.3672) time: 0.8621 data: 0.0004 max mem: 29859 [21:33:55.739835] Epoch: [88] Total time: 0:12:18 (0.8683 s / it) [21:33:55.760665] Averaged stats: lr: 0.002375 loss: 0.0356 (0.0392) loss_rec_all: 0.0716 (0.0752) loss_rec_sfr: 0.0840 (0.1079) loss_cl: -0.3667 (-0.3672) [21:33:55.771575] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [21:34:01.530975] Epoch: [89] [ 0/850] eta: 1:21:34 lr: 0.002375 loss: 0.0339 (0.0339) loss_rec_all: 0.0700 (0.0700) loss_rec_sfr: 0.0713 (0.0713) loss_cl: -0.3660 (-0.3660) time: 5.7584 data: 3.9696 max mem: 29859 [21:34:18.693130] Epoch: [89] [ 20/850] eta: 0:15:05 lr: 0.002375 loss: 0.0354 (0.0363) loss_rec_all: 0.0716 (0.0722) loss_rec_sfr: 0.0829 (0.0986) loss_cl: -0.3664 (-0.3662) time: 0.8581 data: 0.0002 max mem: 29859 [21:34:35.957840] Epoch: [89] [ 40/850] eta: 0:13:13 lr: 0.002375 loss: 0.0362 (0.0369) loss_rec_all: 0.0720 (0.0728) loss_rec_sfr: 0.1152 (0.1043) loss_cl: -0.3663 (-0.3663) time: 0.8632 data: 0.0002 max mem: 29859 [21:34:53.347988] Epoch: [89] [ 60/850] eta: 0:12:25 lr: 0.002375 loss: 0.0354 (0.0367) loss_rec_all: 0.0711 (0.0726) loss_rec_sfr: 0.1138 (0.1076) loss_cl: -0.3669 (-0.3665) time: 0.8694 data: 0.0003 max mem: 29859 [21:35:10.598404] Epoch: [89] [ 80/850] eta: 0:11:51 lr: 0.002375 loss: 0.0361 (0.0367) loss_rec_all: 0.0722 (0.0727) loss_rec_sfr: 0.0858 (0.1061) loss_cl: -0.3677 (-0.3668) time: 0.8625 data: 0.0002 max mem: 29859 [21:35:27.797760] Epoch: [89] [100/850] eta: 0:11:23 lr: 0.002375 loss: 0.0367 (0.0368) loss_rec_all: 0.0728 (0.0728) loss_rec_sfr: 0.0931 (0.1055) loss_cl: -0.3678 (-0.3669) time: 0.8599 data: 0.0002 max mem: 29859 [21:35:45.128069] Epoch: [89] [120/850] eta: 0:10:59 lr: 0.002375 loss: 0.0356 (0.0367) loss_rec_all: 0.0715 (0.0726) loss_rec_sfr: 0.0966 (0.1057) loss_cl: -0.3671 (-0.3669) time: 0.8665 data: 0.0002 max mem: 29859 [21:36:02.342329] Epoch: [89] [140/850] eta: 0:10:37 lr: 0.002375 loss: 0.0381 (0.0369) loss_rec_all: 0.0736 (0.0729) loss_rec_sfr: 0.1093 (0.1063) loss_cl: -0.3670 (-0.3670) time: 0.8607 data: 0.0002 max mem: 29859 [21:36:19.609826] Epoch: [89] [160/850] eta: 0:10:16 lr: 0.002375 loss: 0.0350 (0.0370) loss_rec_all: 0.0711 (0.0729) loss_rec_sfr: 0.1155 (0.1068) loss_cl: -0.3672 (-0.3670) time: 0.8633 data: 0.0009 max mem: 29859 [21:36:36.903164] Epoch: [89] [180/850] eta: 0:09:56 lr: 0.002375 loss: 0.0348 (0.0368) loss_rec_all: 0.0711 (0.0727) loss_rec_sfr: 0.0789 (0.1065) loss_cl: -0.3674 (-0.3670) time: 0.8646 data: 0.0002 max mem: 29859 [21:36:54.223769] Epoch: [89] [200/850] eta: 0:09:37 lr: 0.002375 loss: 0.0377 (0.0369) loss_rec_all: 0.0735 (0.0728) loss_rec_sfr: 0.0936 (0.1072) loss_cl: -0.3671 (-0.3671) time: 0.8660 data: 0.0002 max mem: 29859 [21:37:11.428091] Epoch: [89] [220/850] eta: 0:09:17 lr: 0.002375 loss: 0.0361 (0.0370) loss_rec_all: 0.0724 (0.0730) loss_rec_sfr: 0.0950 (0.1071) loss_cl: -0.3674 (-0.3671) time: 0.8601 data: 0.0002 max mem: 29859 [21:37:28.993289] Epoch: [89] [240/850] eta: 0:08:59 lr: 0.002375 loss: 0.0366 (0.0371) loss_rec_all: 0.0727 (0.0731) loss_rec_sfr: 0.0850 (0.1060) loss_cl: -0.3676 (-0.3671) time: 0.8782 data: 0.0004 max mem: 29859 [21:37:46.249692] Epoch: [89] [260/850] eta: 0:08:40 lr: 0.002375 loss: 0.0382 (0.0373) loss_rec_all: 0.0742 (0.0732) loss_rec_sfr: 0.0852 (0.1057) loss_cl: -0.3672 (-0.3671) time: 0.8627 data: 0.0002 max mem: 29859 [21:38:03.487655] Epoch: [89] [280/850] eta: 0:08:22 lr: 0.002375 loss: 0.0386 (0.0374) loss_rec_all: 0.0745 (0.0734) loss_rec_sfr: 0.1130 (0.1063) loss_cl: -0.3672 (-0.3671) time: 0.8618 data: 0.0002 max mem: 29859 [21:38:20.731011] Epoch: [89] [300/850] eta: 0:08:04 lr: 0.002375 loss: 0.0374 (0.0374) loss_rec_all: 0.0732 (0.0734) loss_rec_sfr: 0.1061 (0.1069) loss_cl: -0.3675 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [21:38:38.002123] Epoch: [89] [320/850] eta: 0:07:45 lr: 0.002375 loss: 0.0377 (0.0375) loss_rec_all: 0.0735 (0.0735) loss_rec_sfr: 0.1238 (0.1079) loss_cl: -0.3675 (-0.3672) time: 0.8635 data: 0.0002 max mem: 29859 [21:38:55.212146] Epoch: [89] [340/850] eta: 0:07:27 lr: 0.002375 loss: 0.0361 (0.0375) loss_rec_all: 0.0721 (0.0735) loss_rec_sfr: 0.0835 (0.1072) loss_cl: -0.3672 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [21:39:12.517508] Epoch: [89] [360/850] eta: 0:07:09 lr: 0.002375 loss: 0.0371 (0.0375) loss_rec_all: 0.0732 (0.0735) loss_rec_sfr: 0.0936 (0.1073) loss_cl: -0.3670 (-0.3672) time: 0.8652 data: 0.0002 max mem: 29859 [21:39:29.762457] Epoch: [89] [380/850] eta: 0:06:51 lr: 0.002375 loss: 0.0348 (0.0375) loss_rec_all: 0.0708 (0.0734) loss_rec_sfr: 0.0917 (0.1072) loss_cl: -0.3664 (-0.3671) time: 0.8622 data: 0.0002 max mem: 29859 [21:39:47.022517] Epoch: [89] [400/850] eta: 0:06:34 lr: 0.002375 loss: 0.0360 (0.0374) loss_rec_all: 0.0719 (0.0734) loss_rec_sfr: 0.1134 (0.1072) loss_cl: -0.3667 (-0.3671) time: 0.8630 data: 0.0002 max mem: 29859 [21:40:04.262630] Epoch: [89] [420/850] eta: 0:06:16 lr: 0.002375 loss: 0.0368 (0.0374) loss_rec_all: 0.0726 (0.0734) loss_rec_sfr: 0.1159 (0.1071) loss_cl: -0.3673 (-0.3671) time: 0.8619 data: 0.0002 max mem: 29859 [21:40:21.560194] Epoch: [89] [440/850] eta: 0:05:58 lr: 0.002375 loss: 0.0372 (0.0375) loss_rec_all: 0.0731 (0.0734) loss_rec_sfr: 0.1137 (0.1071) loss_cl: -0.3679 (-0.3671) time: 0.8648 data: 0.0002 max mem: 29859 [21:40:38.773151] Epoch: [89] [460/850] eta: 0:05:40 lr: 0.002375 loss: 0.0369 (0.0375) loss_rec_all: 0.0729 (0.0735) loss_rec_sfr: 0.1119 (0.1072) loss_cl: -0.3676 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [21:40:56.254122] Epoch: [89] [480/850] eta: 0:05:23 lr: 0.002375 loss: 0.0384 (0.0376) loss_rec_all: 0.0742 (0.0736) loss_rec_sfr: 0.0940 (0.1074) loss_cl: -0.3668 (-0.3671) time: 0.8739 data: 0.0004 max mem: 29859 [21:41:13.536120] Epoch: [89] [500/850] eta: 0:05:05 lr: 0.002375 loss: 0.0375 (0.0376) loss_rec_all: 0.0734 (0.0736) loss_rec_sfr: 0.0868 (0.1071) loss_cl: -0.3667 (-0.3671) time: 0.8640 data: 0.0002 max mem: 29859 [21:41:30.769359] Epoch: [89] [520/850] eta: 0:04:48 lr: 0.002375 loss: 0.0368 (0.0376) loss_rec_all: 0.0728 (0.0736) loss_rec_sfr: 0.1169 (0.1075) loss_cl: -0.3672 (-0.3671) time: 0.8616 data: 0.0002 max mem: 29859 [21:41:48.013496] Epoch: [89] [540/850] eta: 0:04:30 lr: 0.002375 loss: 0.0376 (0.0377) loss_rec_all: 0.0734 (0.0737) loss_rec_sfr: 0.0917 (0.1073) loss_cl: -0.3675 (-0.3671) time: 0.8621 data: 0.0002 max mem: 29859 [21:42:05.331363] Epoch: [89] [560/850] eta: 0:04:13 lr: 0.002375 loss: 0.0382 (0.0377) loss_rec_all: 0.0738 (0.0737) loss_rec_sfr: 0.1125 (0.1076) loss_cl: -0.3674 (-0.3671) time: 0.8658 data: 0.0003 max mem: 29859 [21:42:22.671698] Epoch: [89] [580/850] eta: 0:03:55 lr: 0.002375 loss: 0.0365 (0.0377) loss_rec_all: 0.0727 (0.0737) loss_rec_sfr: 0.0877 (0.1073) loss_cl: -0.3670 (-0.3671) time: 0.8670 data: 0.0003 max mem: 29859 [21:42:39.960825] Epoch: [89] [600/850] eta: 0:03:38 lr: 0.002375 loss: 0.0384 (0.0378) loss_rec_all: 0.0742 (0.0737) loss_rec_sfr: 0.1130 (0.1075) loss_cl: -0.3670 (-0.3671) time: 0.8644 data: 0.0003 max mem: 29859 [21:42:57.213940] Epoch: [89] [620/850] eta: 0:03:20 lr: 0.002375 loss: 0.0379 (0.0378) loss_rec_all: 0.0739 (0.0738) loss_rec_sfr: 0.1150 (0.1077) loss_cl: -0.3664 (-0.3671) time: 0.8626 data: 0.0002 max mem: 29859 [21:43:14.475193] Epoch: [89] [640/850] eta: 0:03:03 lr: 0.002375 loss: 0.0359 (0.0378) loss_rec_all: 0.0718 (0.0738) loss_rec_sfr: 0.1166 (0.1079) loss_cl: -0.3667 (-0.3671) time: 0.8630 data: 0.0002 max mem: 29859 [21:43:31.919601] Epoch: [89] [660/850] eta: 0:02:45 lr: 0.002375 loss: 0.0381 (0.0378) loss_rec_all: 0.0739 (0.0738) loss_rec_sfr: 0.1092 (0.1081) loss_cl: -0.3671 (-0.3671) time: 0.8721 data: 0.0003 max mem: 29859 [21:43:49.201673] Epoch: [89] [680/850] eta: 0:02:28 lr: 0.002375 loss: 0.0371 (0.0378) loss_rec_all: 0.0731 (0.0738) loss_rec_sfr: 0.0876 (0.1078) loss_cl: -0.3675 (-0.3671) time: 0.8641 data: 0.0002 max mem: 29859 [21:44:06.407278] Epoch: [89] [700/850] eta: 0:02:10 lr: 0.002375 loss: 0.0359 (0.0378) loss_rec_all: 0.0721 (0.0738) loss_rec_sfr: 0.0899 (0.1076) loss_cl: -0.3671 (-0.3671) time: 0.8602 data: 0.0002 max mem: 29859 [21:44:23.697939] Epoch: [89] [720/850] eta: 0:01:53 lr: 0.002375 loss: 0.0353 (0.0378) loss_rec_all: 0.0712 (0.0737) loss_rec_sfr: 0.0881 (0.1076) loss_cl: -0.3672 (-0.3671) time: 0.8645 data: 0.0002 max mem: 29859 [21:44:40.986251] Epoch: [89] [740/850] eta: 0:01:35 lr: 0.002375 loss: 0.0353 (0.0377) loss_rec_all: 0.0715 (0.0737) loss_rec_sfr: 0.0761 (0.1074) loss_cl: -0.3679 (-0.3671) time: 0.8644 data: 0.0002 max mem: 29859 [21:44:58.227367] Epoch: [89] [760/850] eta: 0:01:18 lr: 0.002375 loss: 0.0363 (0.0377) loss_rec_all: 0.0724 (0.0737) loss_rec_sfr: 0.1124 (0.1075) loss_cl: -0.3674 (-0.3671) time: 0.8620 data: 0.0002 max mem: 29859 [21:45:15.490087] Epoch: [89] [780/850] eta: 0:01:00 lr: 0.002375 loss: 0.0353 (0.0377) loss_rec_all: 0.0714 (0.0736) loss_rec_sfr: 0.0897 (0.1073) loss_cl: -0.3678 (-0.3671) time: 0.8630 data: 0.0002 max mem: 29859 [21:45:32.767687] Epoch: [89] [800/850] eta: 0:00:43 lr: 0.002375 loss: 0.0340 (0.0376) loss_rec_all: 0.0703 (0.0736) loss_rec_sfr: 0.0756 (0.1070) loss_cl: -0.3681 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [21:45:49.976984] Epoch: [89] [820/850] eta: 0:00:26 lr: 0.002375 loss: 0.0388 (0.0377) loss_rec_all: 0.0747 (0.0736) loss_rec_sfr: 0.1164 (0.1071) loss_cl: -0.3676 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [21:46:07.259129] Epoch: [89] [840/850] eta: 0:00:08 lr: 0.002374 loss: 0.0399 (0.0378) loss_rec_all: 0.0761 (0.0737) loss_rec_sfr: 0.0847 (0.1070) loss_cl: -0.3666 (-0.3672) time: 0.8640 data: 0.0006 max mem: 29859 [21:46:15.018325] Epoch: [89] [849/850] eta: 0:00:00 lr: 0.002374 loss: 0.0389 (0.0378) loss_rec_all: 0.0750 (0.0738) loss_rec_sfr: 0.0803 (0.1070) loss_cl: -0.3664 (-0.3672) time: 0.8646 data: 0.0005 max mem: 29859 [21:46:15.153601] Epoch: [89] Total time: 0:12:19 (0.8699 s / it) [21:46:15.175362] Averaged stats: lr: 0.002374 loss: 0.0389 (0.0378) loss_rec_all: 0.0750 (0.0738) loss_rec_sfr: 0.0803 (0.1052) loss_cl: -0.3664 (-0.3672) [21:46:15.182590] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [21:46:19.577772] Epoch: [90] [ 0/850] eta: 1:02:14 lr: 0.002374 loss: 0.0477 (0.0477) loss_rec_all: 0.0835 (0.0835) loss_rec_sfr: 0.1213 (0.1213) loss_cl: -0.3658 (-0.3658) time: 4.3937 data: 3.5401 max mem: 29859 [21:46:36.743317] Epoch: [90] [ 20/850] eta: 0:14:12 lr: 0.002374 loss: 0.0360 (0.0380) loss_rec_all: 0.0720 (0.0740) loss_rec_sfr: 0.0755 (0.0946) loss_cl: -0.3660 (-0.3659) time: 0.8582 data: 0.0002 max mem: 29859 [21:46:54.020377] Epoch: [90] [ 40/850] eta: 0:12:47 lr: 0.002374 loss: 0.0365 (0.0381) loss_rec_all: 0.0724 (0.0740) loss_rec_sfr: 0.0788 (0.0947) loss_cl: -0.3668 (-0.3663) time: 0.8638 data: 0.0002 max mem: 29859 [21:47:11.246747] Epoch: [90] [ 60/850] eta: 0:12:06 lr: 0.002374 loss: 0.0357 (0.0380) loss_rec_all: 0.0717 (0.0740) loss_rec_sfr: 0.0915 (0.0976) loss_cl: -0.3675 (-0.3667) time: 0.8613 data: 0.0002 max mem: 29859 [21:47:28.475188] Epoch: [90] [ 80/850] eta: 0:11:36 lr: 0.002374 loss: 0.0354 (0.0377) loss_rec_all: 0.0716 (0.0737) loss_rec_sfr: 0.0865 (0.0995) loss_cl: -0.3681 (-0.3670) time: 0.8613 data: 0.0002 max mem: 29859 [21:47:45.703397] Epoch: [90] [100/850] eta: 0:11:12 lr: 0.002374 loss: 0.0371 (0.0378) loss_rec_all: 0.0733 (0.0738) loss_rec_sfr: 0.1131 (0.1018) loss_cl: -0.3676 (-0.3671) time: 0.8614 data: 0.0002 max mem: 29859 [21:48:02.966244] Epoch: [90] [120/850] eta: 0:10:50 lr: 0.002374 loss: 0.0355 (0.0377) loss_rec_all: 0.0717 (0.0737) loss_rec_sfr: 0.0852 (0.1009) loss_cl: -0.3669 (-0.3671) time: 0.8631 data: 0.0002 max mem: 29859 [21:48:20.167684] Epoch: [90] [140/850] eta: 0:10:29 lr: 0.002374 loss: 0.0349 (0.0375) loss_rec_all: 0.0711 (0.0735) loss_rec_sfr: 0.0818 (0.0997) loss_cl: -0.3670 (-0.3671) time: 0.8600 data: 0.0002 max mem: 29859 [21:48:37.453128] Epoch: [90] [160/850] eta: 0:10:09 lr: 0.002374 loss: 0.0375 (0.0376) loss_rec_all: 0.0732 (0.0736) loss_rec_sfr: 0.1105 (0.1009) loss_cl: -0.3670 (-0.3671) time: 0.8641 data: 0.0002 max mem: 29859 [21:48:54.699089] Epoch: [90] [180/850] eta: 0:09:50 lr: 0.002374 loss: 0.0364 (0.0376) loss_rec_all: 0.0723 (0.0736) loss_rec_sfr: 0.1076 (0.1014) loss_cl: -0.3674 (-0.3671) time: 0.8622 data: 0.0002 max mem: 29859 [21:49:11.932790] Epoch: [90] [200/850] eta: 0:09:31 lr: 0.002374 loss: 0.0358 (0.0375) loss_rec_all: 0.0718 (0.0735) loss_rec_sfr: 0.1131 (0.1025) loss_cl: -0.3675 (-0.3671) time: 0.8616 data: 0.0002 max mem: 29859 [21:49:29.181284] Epoch: [90] [220/850] eta: 0:09:12 lr: 0.002374 loss: 0.0340 (0.0373) loss_rec_all: 0.0703 (0.0733) loss_rec_sfr: 0.0799 (0.1017) loss_cl: -0.3673 (-0.3671) time: 0.8624 data: 0.0002 max mem: 29859 [21:49:46.456003] Epoch: [90] [240/850] eta: 0:08:54 lr: 0.002374 loss: 0.0381 (0.0376) loss_rec_all: 0.0740 (0.0736) loss_rec_sfr: 0.0854 (0.1020) loss_cl: -0.3675 (-0.3672) time: 0.8636 data: 0.0002 max mem: 29859 [21:50:03.656418] Epoch: [90] [260/850] eta: 0:08:36 lr: 0.002374 loss: 0.0378 (0.0377) loss_rec_all: 0.0734 (0.0737) loss_rec_sfr: 0.1199 (0.1031) loss_cl: -0.3675 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [21:50:20.942372] Epoch: [90] [280/850] eta: 0:08:18 lr: 0.002374 loss: 0.0370 (0.0377) loss_rec_all: 0.0729 (0.0737) loss_rec_sfr: 0.0993 (0.1036) loss_cl: -0.3670 (-0.3672) time: 0.8642 data: 0.0002 max mem: 29859 [21:50:38.181845] Epoch: [90] [300/850] eta: 0:08:00 lr: 0.002374 loss: 0.0390 (0.0379) loss_rec_all: 0.0747 (0.0739) loss_rec_sfr: 0.1136 (0.1046) loss_cl: -0.3667 (-0.3671) time: 0.8619 data: 0.0002 max mem: 29859 [21:50:55.415160] Epoch: [90] [320/850] eta: 0:07:42 lr: 0.002374 loss: 0.0367 (0.0379) loss_rec_all: 0.0729 (0.0739) loss_rec_sfr: 0.0876 (0.1050) loss_cl: -0.3669 (-0.3671) time: 0.8616 data: 0.0002 max mem: 29859 [21:51:12.655555] Epoch: [90] [340/850] eta: 0:07:24 lr: 0.002374 loss: 0.0375 (0.0379) loss_rec_all: 0.0734 (0.0739) loss_rec_sfr: 0.0815 (0.1050) loss_cl: -0.3677 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [21:51:29.918478] Epoch: [90] [360/850] eta: 0:07:07 lr: 0.002374 loss: 0.0369 (0.0379) loss_rec_all: 0.0732 (0.0739) loss_rec_sfr: 0.1132 (0.1052) loss_cl: -0.3676 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [21:51:47.120501] Epoch: [90] [380/850] eta: 0:06:49 lr: 0.002374 loss: 0.0375 (0.0380) loss_rec_all: 0.0733 (0.0740) loss_rec_sfr: 0.1131 (0.1056) loss_cl: -0.3675 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [21:52:04.460284] Epoch: [90] [400/850] eta: 0:06:31 lr: 0.002374 loss: 0.0373 (0.0380) loss_rec_all: 0.0734 (0.0739) loss_rec_sfr: 0.1141 (0.1061) loss_cl: -0.3673 (-0.3672) time: 0.8669 data: 0.0003 max mem: 29859 [21:52:21.674181] Epoch: [90] [420/850] eta: 0:06:14 lr: 0.002374 loss: 0.0370 (0.0379) loss_rec_all: 0.0728 (0.0739) loss_rec_sfr: 0.0899 (0.1059) loss_cl: -0.3669 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [21:52:38.917666] Epoch: [90] [440/850] eta: 0:05:56 lr: 0.002374 loss: 0.0372 (0.0379) loss_rec_all: 0.0728 (0.0739) loss_rec_sfr: 0.1061 (0.1061) loss_cl: -0.3671 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [21:52:56.185302] Epoch: [90] [460/850] eta: 0:05:39 lr: 0.002374 loss: 0.0355 (0.0378) loss_rec_all: 0.0716 (0.0738) loss_rec_sfr: 0.1112 (0.1062) loss_cl: -0.3672 (-0.3672) time: 0.8633 data: 0.0003 max mem: 29859 [21:53:13.450816] Epoch: [90] [480/850] eta: 0:05:21 lr: 0.002374 loss: 0.0334 (0.0377) loss_rec_all: 0.0697 (0.0737) loss_rec_sfr: 0.0804 (0.1060) loss_cl: -0.3680 (-0.3672) time: 0.8632 data: 0.0002 max mem: 29859 [21:53:30.649329] Epoch: [90] [500/850] eta: 0:05:04 lr: 0.002374 loss: 0.0369 (0.0377) loss_rec_all: 0.0729 (0.0737) loss_rec_sfr: 0.1127 (0.1061) loss_cl: -0.3678 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [21:53:47.993124] Epoch: [90] [520/850] eta: 0:04:46 lr: 0.002374 loss: 0.0382 (0.0378) loss_rec_all: 0.0742 (0.0738) loss_rec_sfr: 0.0888 (0.1062) loss_cl: -0.3674 (-0.3672) time: 0.8671 data: 0.0003 max mem: 29859 [21:54:05.186149] Epoch: [90] [540/850] eta: 0:04:29 lr: 0.002374 loss: 0.0402 (0.0379) loss_rec_all: 0.0759 (0.0739) loss_rec_sfr: 0.1161 (0.1067) loss_cl: -0.3665 (-0.3672) time: 0.8596 data: 0.0002 max mem: 29859 [21:54:22.433381] Epoch: [90] [560/850] eta: 0:04:11 lr: 0.002374 loss: 0.0406 (0.0380) loss_rec_all: 0.0762 (0.0740) loss_rec_sfr: 0.0929 (0.1068) loss_cl: -0.3667 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [21:54:39.693652] Epoch: [90] [580/850] eta: 0:03:54 lr: 0.002374 loss: 0.0407 (0.0381) loss_rec_all: 0.0763 (0.0741) loss_rec_sfr: 0.1456 (0.1077) loss_cl: -0.3665 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [21:54:56.923039] Epoch: [90] [600/850] eta: 0:03:37 lr: 0.002374 loss: 0.0397 (0.0382) loss_rec_all: 0.0757 (0.0742) loss_rec_sfr: 0.1252 (0.1082) loss_cl: -0.3671 (-0.3671) time: 0.8614 data: 0.0002 max mem: 29859 [21:55:14.123830] Epoch: [90] [620/850] eta: 0:03:19 lr: 0.002374 loss: 0.0409 (0.0383) loss_rec_all: 0.0766 (0.0743) loss_rec_sfr: 0.1148 (0.1084) loss_cl: -0.3667 (-0.3671) time: 0.8600 data: 0.0002 max mem: 29859 [21:55:31.420588] Epoch: [90] [640/850] eta: 0:03:02 lr: 0.002374 loss: 0.0396 (0.0384) loss_rec_all: 0.0752 (0.0743) loss_rec_sfr: 0.0891 (0.1084) loss_cl: -0.3666 (-0.3671) time: 0.8648 data: 0.0002 max mem: 29859 [21:55:48.669843] Epoch: [90] [660/850] eta: 0:02:44 lr: 0.002374 loss: 0.0373 (0.0384) loss_rec_all: 0.0732 (0.0743) loss_rec_sfr: 0.0829 (0.1082) loss_cl: -0.3673 (-0.3671) time: 0.8624 data: 0.0002 max mem: 29859 [21:56:05.980581] Epoch: [90] [680/850] eta: 0:02:27 lr: 0.002374 loss: 0.0366 (0.0383) loss_rec_all: 0.0729 (0.0743) loss_rec_sfr: 0.0831 (0.1082) loss_cl: -0.3681 (-0.3671) time: 0.8655 data: 0.0002 max mem: 29859 [21:56:23.255006] Epoch: [90] [700/850] eta: 0:02:10 lr: 0.002374 loss: 0.0361 (0.0383) loss_rec_all: 0.0724 (0.0742) loss_rec_sfr: 0.1147 (0.1083) loss_cl: -0.3681 (-0.3672) time: 0.8637 data: 0.0003 max mem: 29859 [21:56:40.502878] Epoch: [90] [720/850] eta: 0:01:52 lr: 0.002374 loss: 0.0362 (0.0383) loss_rec_all: 0.0723 (0.0742) loss_rec_sfr: 0.0958 (0.1081) loss_cl: -0.3671 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [21:56:57.715559] Epoch: [90] [740/850] eta: 0:01:35 lr: 0.002374 loss: 0.0374 (0.0383) loss_rec_all: 0.0731 (0.0742) loss_rec_sfr: 0.1100 (0.1083) loss_cl: -0.3668 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [21:57:15.013318] Epoch: [90] [760/850] eta: 0:01:18 lr: 0.002374 loss: 0.0353 (0.0382) loss_rec_all: 0.0711 (0.0742) loss_rec_sfr: 0.1096 (0.1082) loss_cl: -0.3672 (-0.3672) time: 0.8648 data: 0.0002 max mem: 29859 [21:57:32.209941] Epoch: [90] [780/850] eta: 0:01:00 lr: 0.002374 loss: 0.0348 (0.0382) loss_rec_all: 0.0707 (0.0742) loss_rec_sfr: 0.1172 (0.1083) loss_cl: -0.3671 (-0.3672) time: 0.8598 data: 0.0002 max mem: 29859 [21:57:49.462358] Epoch: [90] [800/850] eta: 0:00:43 lr: 0.002373 loss: 0.0359 (0.0382) loss_rec_all: 0.0718 (0.0741) loss_rec_sfr: 0.0767 (0.1080) loss_cl: -0.3677 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [21:58:06.734458] Epoch: [90] [820/850] eta: 0:00:25 lr: 0.002373 loss: 0.0410 (0.0383) loss_rec_all: 0.0768 (0.0743) loss_rec_sfr: 0.1256 (0.1082) loss_cl: -0.3672 (-0.3672) time: 0.8636 data: 0.0003 max mem: 29859 [21:58:23.967854] Epoch: [90] [840/850] eta: 0:00:08 lr: 0.002373 loss: 0.0382 (0.0383) loss_rec_all: 0.0742 (0.0743) loss_rec_sfr: 0.1294 (0.1084) loss_cl: -0.3668 (-0.3672) time: 0.8616 data: 0.0004 max mem: 29859 [21:58:31.699580] Epoch: [90] [849/850] eta: 0:00:00 lr: 0.002373 loss: 0.0400 (0.0384) loss_rec_all: 0.0758 (0.0743) loss_rec_sfr: 0.1180 (0.1085) loss_cl: -0.3667 (-0.3672) time: 0.8610 data: 0.0004 max mem: 29859 [21:58:31.859138] Epoch: [90] Total time: 0:12:16 (0.8667 s / it) [21:58:31.861601] Averaged stats: lr: 0.002373 loss: 0.0400 (0.0385) loss_rec_all: 0.0758 (0.0744) loss_rec_sfr: 0.1180 (0.1087) loss_cl: -0.3667 (-0.3672) [21:58:31.873075] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [21:58:36.199987] Epoch: [91] [ 0/850] eta: 1:01:17 lr: 0.002373 loss: 0.0391 (0.0391) loss_rec_all: 0.0748 (0.0748) loss_rec_sfr: 0.1351 (0.1351) loss_cl: -0.3667 (-0.3667) time: 4.3262 data: 3.4705 max mem: 29859 [21:58:53.440518] Epoch: [91] [ 20/850] eta: 0:14:12 lr: 0.002373 loss: 0.0376 (0.0393) loss_rec_all: 0.0737 (0.0752) loss_rec_sfr: 0.1154 (0.1156) loss_cl: -0.3667 (-0.3666) time: 0.8620 data: 0.0002 max mem: 29859 [21:59:10.674392] Epoch: [91] [ 40/850] eta: 0:12:46 lr: 0.002373 loss: 0.0363 (0.0387) loss_rec_all: 0.0723 (0.0746) loss_rec_sfr: 0.1151 (0.1129) loss_cl: -0.3670 (-0.3668) time: 0.8616 data: 0.0002 max mem: 29859 [21:59:27.867790] Epoch: [91] [ 60/850] eta: 0:12:05 lr: 0.002373 loss: 0.0356 (0.0382) loss_rec_all: 0.0715 (0.0741) loss_rec_sfr: 0.1111 (0.1114) loss_cl: -0.3676 (-0.3670) time: 0.8595 data: 0.0002 max mem: 29859 [21:59:45.174747] Epoch: [91] [ 80/850] eta: 0:11:36 lr: 0.002373 loss: 0.0343 (0.0375) loss_rec_all: 0.0703 (0.0735) loss_rec_sfr: 0.0756 (0.1064) loss_cl: -0.3679 (-0.3673) time: 0.8653 data: 0.0003 max mem: 29859 [22:00:02.379256] Epoch: [91] [100/850] eta: 0:11:12 lr: 0.002373 loss: 0.0352 (0.0371) loss_rec_all: 0.0712 (0.0731) loss_rec_sfr: 0.0861 (0.1061) loss_cl: -0.3681 (-0.3674) time: 0.8602 data: 0.0002 max mem: 29859 [22:00:19.614311] Epoch: [91] [120/850] eta: 0:10:49 lr: 0.002373 loss: 0.0350 (0.0371) loss_rec_all: 0.0713 (0.0731) loss_rec_sfr: 0.1146 (0.1084) loss_cl: -0.3673 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [22:00:36.880510] Epoch: [91] [140/850] eta: 0:10:29 lr: 0.002373 loss: 0.0361 (0.0371) loss_rec_all: 0.0720 (0.0731) loss_rec_sfr: 0.1098 (0.1075) loss_cl: -0.3667 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [22:00:54.144903] Epoch: [91] [160/850] eta: 0:10:09 lr: 0.002373 loss: 0.0370 (0.0372) loss_rec_all: 0.0731 (0.0732) loss_rec_sfr: 0.1012 (0.1074) loss_cl: -0.3673 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [22:01:11.355092] Epoch: [91] [180/850] eta: 0:09:50 lr: 0.002373 loss: 0.0365 (0.0373) loss_rec_all: 0.0725 (0.0733) loss_rec_sfr: 0.0875 (0.1070) loss_cl: -0.3665 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [22:01:28.646230] Epoch: [91] [200/850] eta: 0:09:31 lr: 0.002373 loss: 0.0367 (0.0373) loss_rec_all: 0.0724 (0.0732) loss_rec_sfr: 0.1125 (0.1078) loss_cl: -0.3670 (-0.3672) time: 0.8645 data: 0.0002 max mem: 29859 [22:01:45.889897] Epoch: [91] [220/850] eta: 0:09:13 lr: 0.002373 loss: 0.0364 (0.0373) loss_rec_all: 0.0724 (0.0733) loss_rec_sfr: 0.1130 (0.1085) loss_cl: -0.3676 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [22:02:03.126579] Epoch: [91] [240/850] eta: 0:08:54 lr: 0.002373 loss: 0.0355 (0.0372) loss_rec_all: 0.0712 (0.0732) loss_rec_sfr: 0.0976 (0.1084) loss_cl: -0.3677 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [22:02:20.379677] Epoch: [91] [260/850] eta: 0:08:36 lr: 0.002373 loss: 0.0345 (0.0372) loss_rec_all: 0.0707 (0.0731) loss_rec_sfr: 0.0844 (0.1080) loss_cl: -0.3672 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [22:02:37.667558] Epoch: [91] [280/850] eta: 0:08:18 lr: 0.002373 loss: 0.0339 (0.0371) loss_rec_all: 0.0701 (0.0731) loss_rec_sfr: 0.0880 (0.1074) loss_cl: -0.3667 (-0.3672) time: 0.8643 data: 0.0002 max mem: 29859 [22:02:54.881668] Epoch: [91] [300/850] eta: 0:08:00 lr: 0.002373 loss: 0.0354 (0.0370) loss_rec_all: 0.0713 (0.0729) loss_rec_sfr: 0.1070 (0.1073) loss_cl: -0.3672 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [22:03:12.175112] Epoch: [91] [320/850] eta: 0:07:42 lr: 0.002373 loss: 0.0353 (0.0369) loss_rec_all: 0.0714 (0.0729) loss_rec_sfr: 0.0917 (0.1073) loss_cl: -0.3672 (-0.3672) time: 0.8646 data: 0.0002 max mem: 29859 [22:03:29.438348] Epoch: [91] [340/850] eta: 0:07:25 lr: 0.002373 loss: 0.0374 (0.0370) loss_rec_all: 0.0736 (0.0729) loss_rec_sfr: 0.0866 (0.1070) loss_cl: -0.3670 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [22:03:46.695373] Epoch: [91] [360/850] eta: 0:07:07 lr: 0.002373 loss: 0.0373 (0.0370) loss_rec_all: 0.0730 (0.0730) loss_rec_sfr: 0.0865 (0.1068) loss_cl: -0.3674 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [22:04:03.953564] Epoch: [91] [380/850] eta: 0:06:49 lr: 0.002373 loss: 0.0355 (0.0370) loss_rec_all: 0.0716 (0.0730) loss_rec_sfr: 0.0877 (0.1062) loss_cl: -0.3668 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [22:04:21.241070] Epoch: [91] [400/850] eta: 0:06:32 lr: 0.002373 loss: 0.0387 (0.0371) loss_rec_all: 0.0745 (0.0731) loss_rec_sfr: 0.1012 (0.1067) loss_cl: -0.3667 (-0.3672) time: 0.8643 data: 0.0002 max mem: 29859 [22:04:38.450386] Epoch: [91] [420/850] eta: 0:06:14 lr: 0.002373 loss: 0.0409 (0.0373) loss_rec_all: 0.0770 (0.0733) loss_rec_sfr: 0.0877 (0.1067) loss_cl: -0.3673 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [22:04:55.749837] Epoch: [91] [440/850] eta: 0:05:56 lr: 0.002373 loss: 0.0400 (0.0375) loss_rec_all: 0.0757 (0.0735) loss_rec_sfr: 0.1087 (0.1069) loss_cl: -0.3674 (-0.3672) time: 0.8649 data: 0.0003 max mem: 29859 [22:05:12.993467] Epoch: [91] [460/850] eta: 0:05:39 lr: 0.002373 loss: 0.0392 (0.0376) loss_rec_all: 0.0753 (0.0736) loss_rec_sfr: 0.1237 (0.1073) loss_cl: -0.3672 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [22:05:30.242974] Epoch: [91] [480/850] eta: 0:05:21 lr: 0.002373 loss: 0.0364 (0.0376) loss_rec_all: 0.0725 (0.0736) loss_rec_sfr: 0.0778 (0.1070) loss_cl: -0.3674 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [22:05:47.503276] Epoch: [91] [500/850] eta: 0:05:04 lr: 0.002373 loss: 0.0360 (0.0376) loss_rec_all: 0.0722 (0.0735) loss_rec_sfr: 0.0859 (0.1069) loss_cl: -0.3674 (-0.3672) time: 0.8629 data: 0.0003 max mem: 29859 [22:06:04.771367] Epoch: [91] [520/850] eta: 0:04:46 lr: 0.002373 loss: 0.0362 (0.0376) loss_rec_all: 0.0723 (0.0735) loss_rec_sfr: 0.0892 (0.1067) loss_cl: -0.3674 (-0.3672) time: 0.8634 data: 0.0002 max mem: 29859 [22:06:21.986252] Epoch: [91] [540/850] eta: 0:04:29 lr: 0.002373 loss: 0.0360 (0.0375) loss_rec_all: 0.0721 (0.0735) loss_rec_sfr: 0.0902 (0.1067) loss_cl: -0.3674 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [22:06:39.286329] Epoch: [91] [560/850] eta: 0:04:11 lr: 0.002373 loss: 0.0351 (0.0375) loss_rec_all: 0.0713 (0.0735) loss_rec_sfr: 0.0939 (0.1068) loss_cl: -0.3674 (-0.3672) time: 0.8649 data: 0.0002 max mem: 29859 [22:06:56.507439] Epoch: [91] [580/850] eta: 0:03:54 lr: 0.002373 loss: 0.0358 (0.0375) loss_rec_all: 0.0717 (0.0735) loss_rec_sfr: 0.1115 (0.1068) loss_cl: -0.3665 (-0.3672) time: 0.8610 data: 0.0002 max mem: 29859 [22:07:13.760333] Epoch: [91] [600/850] eta: 0:03:37 lr: 0.002373 loss: 0.0367 (0.0375) loss_rec_all: 0.0723 (0.0735) loss_rec_sfr: 0.0798 (0.1068) loss_cl: -0.3665 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [22:07:31.033372] Epoch: [91] [620/850] eta: 0:03:19 lr: 0.002373 loss: 0.0376 (0.0375) loss_rec_all: 0.0734 (0.0735) loss_rec_sfr: 0.1118 (0.1070) loss_cl: -0.3676 (-0.3672) time: 0.8636 data: 0.0002 max mem: 29859 [22:07:48.305323] Epoch: [91] [640/850] eta: 0:03:02 lr: 0.002373 loss: 0.0361 (0.0375) loss_rec_all: 0.0720 (0.0735) loss_rec_sfr: 0.0813 (0.1067) loss_cl: -0.3680 (-0.3672) time: 0.8635 data: 0.0002 max mem: 29859 [22:08:05.517057] Epoch: [91] [660/850] eta: 0:02:44 lr: 0.002373 loss: 0.0359 (0.0375) loss_rec_all: 0.0722 (0.0734) loss_rec_sfr: 0.0780 (0.1064) loss_cl: -0.3677 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [22:08:22.832815] Epoch: [91] [680/850] eta: 0:02:27 lr: 0.002373 loss: 0.0351 (0.0374) loss_rec_all: 0.0712 (0.0734) loss_rec_sfr: 0.0756 (0.1060) loss_cl: -0.3676 (-0.3672) time: 0.8657 data: 0.0003 max mem: 29859 [22:08:40.043484] Epoch: [91] [700/850] eta: 0:02:10 lr: 0.002373 loss: 0.0370 (0.0374) loss_rec_all: 0.0731 (0.0734) loss_rec_sfr: 0.1157 (0.1062) loss_cl: -0.3674 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [22:08:57.285650] Epoch: [91] [720/850] eta: 0:01:52 lr: 0.002373 loss: 0.0368 (0.0374) loss_rec_all: 0.0728 (0.0734) loss_rec_sfr: 0.0878 (0.1064) loss_cl: -0.3673 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [22:09:14.542861] Epoch: [91] [740/850] eta: 0:01:35 lr: 0.002373 loss: 0.0350 (0.0374) loss_rec_all: 0.0712 (0.0734) loss_rec_sfr: 0.0854 (0.1060) loss_cl: -0.3668 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [22:09:31.806285] Epoch: [91] [760/850] eta: 0:01:18 lr: 0.002372 loss: 0.0383 (0.0375) loss_rec_all: 0.0739 (0.0734) loss_rec_sfr: 0.1078 (0.1061) loss_cl: -0.3668 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [22:09:49.011846] Epoch: [91] [780/850] eta: 0:01:00 lr: 0.002372 loss: 0.0355 (0.0374) loss_rec_all: 0.0714 (0.0734) loss_rec_sfr: 0.1117 (0.1061) loss_cl: -0.3670 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [22:10:06.331728] Epoch: [91] [800/850] eta: 0:00:43 lr: 0.002372 loss: 0.0348 (0.0374) loss_rec_all: 0.0710 (0.0734) loss_rec_sfr: 0.0927 (0.1061) loss_cl: -0.3675 (-0.3672) time: 0.8659 data: 0.0002 max mem: 29859 [22:10:23.549935] Epoch: [91] [820/850] eta: 0:00:26 lr: 0.002372 loss: 0.0356 (0.0374) loss_rec_all: 0.0717 (0.0733) loss_rec_sfr: 0.0759 (0.1058) loss_cl: -0.3674 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [22:10:40.791084] Epoch: [91] [840/850] eta: 0:00:08 lr: 0.002372 loss: 0.0372 (0.0374) loss_rec_all: 0.0732 (0.0734) loss_rec_sfr: 0.0942 (0.1060) loss_cl: -0.3671 (-0.3672) time: 0.8620 data: 0.0004 max mem: 29859 [22:10:48.542072] Epoch: [91] [849/850] eta: 0:00:00 lr: 0.002372 loss: 0.0369 (0.0374) loss_rec_all: 0.0730 (0.0734) loss_rec_sfr: 0.0923 (0.1060) loss_cl: -0.3669 (-0.3672) time: 0.8622 data: 0.0004 max mem: 29859 [22:10:48.685941] Epoch: [91] Total time: 0:12:16 (0.8668 s / it) [22:10:48.706712] Averaged stats: lr: 0.002372 loss: 0.0369 (0.0376) loss_rec_all: 0.0730 (0.0736) loss_rec_sfr: 0.0923 (0.1082) loss_cl: -0.3669 (-0.3672) [22:10:48.719245] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [22:10:53.554187] Epoch: [92] [ 0/850] eta: 1:08:28 lr: 0.002372 loss: 0.0350 (0.0350) loss_rec_all: 0.0710 (0.0710) loss_rec_sfr: 0.0974 (0.0974) loss_cl: -0.3662 (-0.3662) time: 4.8339 data: 3.9729 max mem: 29859 [22:11:10.735658] Epoch: [92] [ 20/850] eta: 0:14:30 lr: 0.002372 loss: 0.0373 (0.0377) loss_rec_all: 0.0732 (0.0736) loss_rec_sfr: 0.1196 (0.1156) loss_cl: -0.3675 (-0.3675) time: 0.8590 data: 0.0002 max mem: 29859 [22:11:27.965562] Epoch: [92] [ 40/850] eta: 0:12:55 lr: 0.002372 loss: 0.0358 (0.0373) loss_rec_all: 0.0717 (0.0733) loss_rec_sfr: 0.0972 (0.1103) loss_cl: -0.3674 (-0.3675) time: 0.8615 data: 0.0002 max mem: 29859 [22:11:45.228959] Epoch: [92] [ 60/850] eta: 0:12:11 lr: 0.002372 loss: 0.0356 (0.0372) loss_rec_all: 0.0718 (0.0732) loss_rec_sfr: 0.0843 (0.1052) loss_cl: -0.3671 (-0.3674) time: 0.8631 data: 0.0003 max mem: 29859 [22:12:02.476537] Epoch: [92] [ 80/850] eta: 0:11:41 lr: 0.002372 loss: 0.0356 (0.0372) loss_rec_all: 0.0717 (0.0732) loss_rec_sfr: 0.0860 (0.1055) loss_cl: -0.3671 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [22:12:19.674873] Epoch: [92] [100/850] eta: 0:11:15 lr: 0.002372 loss: 0.0357 (0.0373) loss_rec_all: 0.0715 (0.0733) loss_rec_sfr: 0.1248 (0.1074) loss_cl: -0.3670 (-0.3673) time: 0.8599 data: 0.0002 max mem: 29859 [22:12:37.003087] Epoch: [92] [120/850] eta: 0:10:53 lr: 0.002372 loss: 0.0359 (0.0371) loss_rec_all: 0.0719 (0.0731) loss_rec_sfr: 0.1157 (0.1084) loss_cl: -0.3674 (-0.3673) time: 0.8664 data: 0.0002 max mem: 29859 [22:12:54.202921] Epoch: [92] [140/850] eta: 0:10:31 lr: 0.002372 loss: 0.0366 (0.0373) loss_rec_all: 0.0724 (0.0733) loss_rec_sfr: 0.1143 (0.1088) loss_cl: -0.3676 (-0.3673) time: 0.8599 data: 0.0002 max mem: 29859 [22:13:11.455308] Epoch: [92] [160/850] eta: 0:10:11 lr: 0.002372 loss: 0.0338 (0.0369) loss_rec_all: 0.0700 (0.0729) loss_rec_sfr: 0.0743 (0.1060) loss_cl: -0.3672 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [22:13:28.746475] Epoch: [92] [180/850] eta: 0:09:52 lr: 0.002372 loss: 0.0361 (0.0370) loss_rec_all: 0.0722 (0.0729) loss_rec_sfr: 0.1109 (0.1064) loss_cl: -0.3670 (-0.3673) time: 0.8645 data: 0.0003 max mem: 29859 [22:13:45.998424] Epoch: [92] [200/850] eta: 0:09:33 lr: 0.002372 loss: 0.0366 (0.0370) loss_rec_all: 0.0727 (0.0730) loss_rec_sfr: 0.0920 (0.1068) loss_cl: -0.3674 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [22:14:03.218554] Epoch: [92] [220/850] eta: 0:09:14 lr: 0.002372 loss: 0.0386 (0.0372) loss_rec_all: 0.0748 (0.0732) loss_rec_sfr: 0.0942 (0.1070) loss_cl: -0.3675 (-0.3673) time: 0.8610 data: 0.0002 max mem: 29859 [22:14:20.524412] Epoch: [92] [240/850] eta: 0:08:56 lr: 0.002372 loss: 0.0364 (0.0373) loss_rec_all: 0.0725 (0.0733) loss_rec_sfr: 0.1209 (0.1076) loss_cl: -0.3669 (-0.3673) time: 0.8652 data: 0.0002 max mem: 29859 [22:14:37.736105] Epoch: [92] [260/850] eta: 0:08:37 lr: 0.002372 loss: 0.0354 (0.0372) loss_rec_all: 0.0716 (0.0732) loss_rec_sfr: 0.0887 (0.1069) loss_cl: -0.3673 (-0.3673) time: 0.8605 data: 0.0002 max mem: 29859 [22:14:55.020870] Epoch: [92] [280/850] eta: 0:08:19 lr: 0.002372 loss: 0.0364 (0.0373) loss_rec_all: 0.0726 (0.0733) loss_rec_sfr: 0.0860 (0.1067) loss_cl: -0.3671 (-0.3672) time: 0.8642 data: 0.0002 max mem: 29859 [22:15:12.273284] Epoch: [92] [300/850] eta: 0:08:01 lr: 0.002372 loss: 0.0355 (0.0373) loss_rec_all: 0.0714 (0.0733) loss_rec_sfr: 0.0920 (0.1065) loss_cl: -0.3671 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [22:15:29.525234] Epoch: [92] [320/850] eta: 0:07:43 lr: 0.002372 loss: 0.0351 (0.0373) loss_rec_all: 0.0710 (0.0732) loss_rec_sfr: 0.1106 (0.1065) loss_cl: -0.3675 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [22:15:46.762495] Epoch: [92] [340/850] eta: 0:07:25 lr: 0.002372 loss: 0.0356 (0.0372) loss_rec_all: 0.0716 (0.0732) loss_rec_sfr: 0.0845 (0.1061) loss_cl: -0.3677 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [22:16:04.053603] Epoch: [92] [360/850] eta: 0:07:07 lr: 0.002372 loss: 0.0352 (0.0372) loss_rec_all: 0.0713 (0.0731) loss_rec_sfr: 0.1058 (0.1063) loss_cl: -0.3673 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [22:16:21.265284] Epoch: [92] [380/850] eta: 0:06:50 lr: 0.002372 loss: 0.0361 (0.0372) loss_rec_all: 0.0721 (0.0732) loss_rec_sfr: 0.1225 (0.1077) loss_cl: -0.3672 (-0.3673) time: 0.8605 data: 0.0002 max mem: 29859 [22:16:38.557323] Epoch: [92] [400/850] eta: 0:06:32 lr: 0.002372 loss: 0.0389 (0.0374) loss_rec_all: 0.0751 (0.0734) loss_rec_sfr: 0.0845 (0.1078) loss_cl: -0.3677 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [22:16:55.789735] Epoch: [92] [420/850] eta: 0:06:14 lr: 0.002372 loss: 0.0420 (0.0379) loss_rec_all: 0.0781 (0.0739) loss_rec_sfr: 0.0943 (0.1085) loss_cl: -0.3670 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [22:17:13.038029] Epoch: [92] [440/850] eta: 0:05:57 lr: 0.002372 loss: 0.0568 (0.0387) loss_rec_all: 0.0929 (0.0747) loss_rec_sfr: 0.1121 (0.1093) loss_cl: -0.3674 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [22:17:30.299195] Epoch: [92] [460/850] eta: 0:05:39 lr: 0.002372 loss: 0.0516 (0.0395) loss_rec_all: 0.0876 (0.0754) loss_rec_sfr: 0.1424 (0.1104) loss_cl: -0.3672 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [22:17:47.547749] Epoch: [92] [480/850] eta: 0:05:22 lr: 0.002372 loss: 0.0471 (0.0398) loss_rec_all: 0.0830 (0.0758) loss_rec_sfr: 0.0985 (0.1106) loss_cl: -0.3671 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [22:18:04.755580] Epoch: [92] [500/850] eta: 0:05:04 lr: 0.002372 loss: 0.0442 (0.0400) loss_rec_all: 0.0796 (0.0760) loss_rec_sfr: 0.1250 (0.1109) loss_cl: -0.3673 (-0.3673) time: 0.8603 data: 0.0002 max mem: 29859 [22:18:22.074388] Epoch: [92] [520/850] eta: 0:04:47 lr: 0.002372 loss: 0.0417 (0.0402) loss_rec_all: 0.0778 (0.0761) loss_rec_sfr: 0.0958 (0.1111) loss_cl: -0.3668 (-0.3672) time: 0.8659 data: 0.0002 max mem: 29859 [22:18:39.287709] Epoch: [92] [540/850] eta: 0:04:29 lr: 0.002372 loss: 0.0411 (0.0402) loss_rec_all: 0.0773 (0.0762) loss_rec_sfr: 0.1179 (0.1112) loss_cl: -0.3665 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [22:18:56.561370] Epoch: [92] [560/850] eta: 0:04:12 lr: 0.002372 loss: 0.0390 (0.0402) loss_rec_all: 0.0751 (0.0762) loss_rec_sfr: 0.1166 (0.1113) loss_cl: -0.3670 (-0.3672) time: 0.8636 data: 0.0002 max mem: 29859 [22:19:13.817425] Epoch: [92] [580/850] eta: 0:03:54 lr: 0.002372 loss: 0.0380 (0.0402) loss_rec_all: 0.0740 (0.0761) loss_rec_sfr: 0.1139 (0.1114) loss_cl: -0.3670 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [22:19:31.067267] Epoch: [92] [600/850] eta: 0:03:37 lr: 0.002372 loss: 0.0375 (0.0401) loss_rec_all: 0.0734 (0.0761) loss_rec_sfr: 0.1084 (0.1110) loss_cl: -0.3670 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [22:19:48.284391] Epoch: [92] [620/850] eta: 0:03:19 lr: 0.002372 loss: 0.0366 (0.0400) loss_rec_all: 0.0723 (0.0760) loss_rec_sfr: 0.1096 (0.1109) loss_cl: -0.3671 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [22:20:05.593611] Epoch: [92] [640/850] eta: 0:03:02 lr: 0.002372 loss: 0.0352 (0.0399) loss_rec_all: 0.0711 (0.0759) loss_rec_sfr: 0.1136 (0.1107) loss_cl: -0.3673 (-0.3672) time: 0.8654 data: 0.0002 max mem: 29859 [22:20:22.801489] Epoch: [92] [660/850] eta: 0:02:45 lr: 0.002372 loss: 0.0370 (0.0399) loss_rec_all: 0.0729 (0.0758) loss_rec_sfr: 0.0958 (0.1103) loss_cl: -0.3668 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [22:20:40.104002] Epoch: [92] [680/850] eta: 0:02:27 lr: 0.002372 loss: 0.0349 (0.0398) loss_rec_all: 0.0708 (0.0757) loss_rec_sfr: 0.1085 (0.1102) loss_cl: -0.3668 (-0.3672) time: 0.8651 data: 0.0002 max mem: 29859 [22:20:57.328160] Epoch: [92] [700/850] eta: 0:02:10 lr: 0.002372 loss: 0.0350 (0.0397) loss_rec_all: 0.0713 (0.0756) loss_rec_sfr: 0.0767 (0.1096) loss_cl: -0.3675 (-0.3672) time: 0.8612 data: 0.0002 max mem: 29859 [22:21:14.572619] Epoch: [92] [720/850] eta: 0:01:52 lr: 0.002371 loss: 0.0343 (0.0395) loss_rec_all: 0.0702 (0.0755) loss_rec_sfr: 0.0812 (0.1091) loss_cl: -0.3678 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [22:21:31.856124] Epoch: [92] [740/850] eta: 0:01:35 lr: 0.002371 loss: 0.0342 (0.0394) loss_rec_all: 0.0703 (0.0754) loss_rec_sfr: 0.0827 (0.1088) loss_cl: -0.3677 (-0.3672) time: 0.8641 data: 0.0002 max mem: 29859 [22:21:49.100861] Epoch: [92] [760/850] eta: 0:01:18 lr: 0.002371 loss: 0.0350 (0.0393) loss_rec_all: 0.0711 (0.0753) loss_rec_sfr: 0.0834 (0.1087) loss_cl: -0.3677 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [22:22:06.305612] Epoch: [92] [780/850] eta: 0:01:00 lr: 0.002371 loss: 0.0348 (0.0393) loss_rec_all: 0.0706 (0.0752) loss_rec_sfr: 0.1129 (0.1088) loss_cl: -0.3666 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [22:22:23.618767] Epoch: [92] [800/850] eta: 0:00:43 lr: 0.002371 loss: 0.0334 (0.0392) loss_rec_all: 0.0694 (0.0751) loss_rec_sfr: 0.0707 (0.1084) loss_cl: -0.3677 (-0.3672) time: 0.8656 data: 0.0003 max mem: 29859 [22:22:40.830449] Epoch: [92] [820/850] eta: 0:00:26 lr: 0.002371 loss: 0.0357 (0.0391) loss_rec_all: 0.0719 (0.0751) loss_rec_sfr: 0.1036 (0.1085) loss_cl: -0.3679 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [22:22:58.089390] Epoch: [92] [840/850] eta: 0:00:08 lr: 0.002371 loss: 0.0375 (0.0391) loss_rec_all: 0.0737 (0.0750) loss_rec_sfr: 0.0972 (0.1084) loss_cl: -0.3680 (-0.3672) time: 0.8629 data: 0.0004 max mem: 29859 [22:23:05.889914] Epoch: [92] [849/850] eta: 0:00:00 lr: 0.002371 loss: 0.0376 (0.0391) loss_rec_all: 0.0737 (0.0751) loss_rec_sfr: 0.1035 (0.1086) loss_cl: -0.3679 (-0.3672) time: 0.8654 data: 0.0004 max mem: 29859 [22:23:06.033990] Epoch: [92] Total time: 0:12:17 (0.8674 s / it) [22:23:06.042266] Averaged stats: lr: 0.002371 loss: 0.0376 (0.0389) loss_rec_all: 0.0737 (0.0749) loss_rec_sfr: 0.1035 (0.1083) loss_cl: -0.3679 (-0.3672) [22:23:06.055920] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [22:23:10.694393] Epoch: [93] [ 0/850] eta: 1:05:42 lr: 0.002371 loss: 0.0372 (0.0372) loss_rec_all: 0.0734 (0.0734) loss_rec_sfr: 0.0786 (0.0786) loss_cl: -0.3672 (-0.3672) time: 4.6378 data: 3.7833 max mem: 29859 [22:23:27.854152] Epoch: [93] [ 20/850] eta: 0:14:21 lr: 0.002371 loss: 0.0398 (0.0411) loss_rec_all: 0.0758 (0.0770) loss_rec_sfr: 0.1166 (0.1147) loss_cl: -0.3670 (-0.3669) time: 0.8579 data: 0.0001 max mem: 29859 [22:23:45.090985] Epoch: [93] [ 40/850] eta: 0:12:51 lr: 0.002371 loss: 0.0371 (0.0399) loss_rec_all: 0.0733 (0.0758) loss_rec_sfr: 0.1092 (0.1166) loss_cl: -0.3667 (-0.3668) time: 0.8618 data: 0.0002 max mem: 29859 [22:24:02.336718] Epoch: [93] [ 60/850] eta: 0:12:08 lr: 0.002371 loss: 0.0367 (0.0393) loss_rec_all: 0.0725 (0.0752) loss_rec_sfr: 0.0927 (0.1120) loss_cl: -0.3667 (-0.3668) time: 0.8622 data: 0.0002 max mem: 29859 [22:24:19.569829] Epoch: [93] [ 80/850] eta: 0:11:38 lr: 0.002371 loss: 0.0355 (0.0389) loss_rec_all: 0.0716 (0.0748) loss_rec_sfr: 0.0942 (0.1094) loss_cl: -0.3666 (-0.3667) time: 0.8616 data: 0.0002 max mem: 29859 [22:24:36.785554] Epoch: [93] [100/850] eta: 0:11:13 lr: 0.002371 loss: 0.0340 (0.0383) loss_rec_all: 0.0697 (0.0742) loss_rec_sfr: 0.1185 (0.1103) loss_cl: -0.3669 (-0.3668) time: 0.8607 data: 0.0002 max mem: 29859 [22:24:54.089280] Epoch: [93] [120/850] eta: 0:10:51 lr: 0.002371 loss: 0.0353 (0.0380) loss_rec_all: 0.0715 (0.0739) loss_rec_sfr: 0.1116 (0.1089) loss_cl: -0.3678 (-0.3669) time: 0.8651 data: 0.0002 max mem: 29859 [22:25:11.296265] Epoch: [93] [140/850] eta: 0:10:30 lr: 0.002371 loss: 0.0364 (0.0378) loss_rec_all: 0.0720 (0.0738) loss_rec_sfr: 0.1127 (0.1092) loss_cl: -0.3678 (-0.3670) time: 0.8603 data: 0.0002 max mem: 29859 [22:25:28.561427] Epoch: [93] [160/850] eta: 0:10:10 lr: 0.002371 loss: 0.0341 (0.0375) loss_rec_all: 0.0703 (0.0735) loss_rec_sfr: 0.0926 (0.1080) loss_cl: -0.3668 (-0.3670) time: 0.8631 data: 0.0002 max mem: 29859 [22:25:45.859093] Epoch: [93] [180/850] eta: 0:09:51 lr: 0.002371 loss: 0.0372 (0.0376) loss_rec_all: 0.0728 (0.0735) loss_rec_sfr: 0.1150 (0.1087) loss_cl: -0.3670 (-0.3670) time: 0.8648 data: 0.0002 max mem: 29859 [22:26:03.101821] Epoch: [93] [200/850] eta: 0:09:32 lr: 0.002371 loss: 0.0376 (0.0377) loss_rec_all: 0.0736 (0.0737) loss_rec_sfr: 0.0922 (0.1085) loss_cl: -0.3677 (-0.3670) time: 0.8621 data: 0.0002 max mem: 29859 [22:26:20.336762] Epoch: [93] [220/850] eta: 0:09:13 lr: 0.002371 loss: 0.0366 (0.0377) loss_rec_all: 0.0727 (0.0736) loss_rec_sfr: 0.1175 (0.1085) loss_cl: -0.3676 (-0.3671) time: 0.8617 data: 0.0002 max mem: 29859 [22:26:37.630207] Epoch: [93] [240/850] eta: 0:08:55 lr: 0.002371 loss: 0.0361 (0.0376) loss_rec_all: 0.0719 (0.0736) loss_rec_sfr: 0.0912 (0.1084) loss_cl: -0.3675 (-0.3671) time: 0.8646 data: 0.0002 max mem: 29859 [22:26:54.832141] Epoch: [93] [260/850] eta: 0:08:37 lr: 0.002371 loss: 0.0354 (0.0375) loss_rec_all: 0.0714 (0.0735) loss_rec_sfr: 0.0802 (0.1076) loss_cl: -0.3668 (-0.3671) time: 0.8601 data: 0.0002 max mem: 29859 [22:27:12.090391] Epoch: [93] [280/850] eta: 0:08:19 lr: 0.002371 loss: 0.0369 (0.0375) loss_rec_all: 0.0725 (0.0735) loss_rec_sfr: 0.1127 (0.1080) loss_cl: -0.3664 (-0.3670) time: 0.8629 data: 0.0002 max mem: 29859 [22:27:29.329993] Epoch: [93] [300/850] eta: 0:08:01 lr: 0.002371 loss: 0.0349 (0.0374) loss_rec_all: 0.0710 (0.0733) loss_rec_sfr: 0.1074 (0.1081) loss_cl: -0.3667 (-0.3670) time: 0.8619 data: 0.0002 max mem: 29859 [22:27:46.572332] Epoch: [93] [320/850] eta: 0:07:43 lr: 0.002371 loss: 0.0363 (0.0374) loss_rec_all: 0.0723 (0.0734) loss_rec_sfr: 0.1112 (0.1082) loss_cl: -0.3668 (-0.3670) time: 0.8621 data: 0.0002 max mem: 29859 [22:28:03.801749] Epoch: [93] [340/850] eta: 0:07:25 lr: 0.002371 loss: 0.0339 (0.0374) loss_rec_all: 0.0702 (0.0733) loss_rec_sfr: 0.1058 (0.1080) loss_cl: -0.3671 (-0.3670) time: 0.8614 data: 0.0002 max mem: 29859 [22:28:21.113963] Epoch: [93] [360/850] eta: 0:07:07 lr: 0.002371 loss: 0.0362 (0.0373) loss_rec_all: 0.0719 (0.0733) loss_rec_sfr: 0.0814 (0.1082) loss_cl: -0.3678 (-0.3670) time: 0.8656 data: 0.0002 max mem: 29859 [22:28:38.316348] Epoch: [93] [380/850] eta: 0:06:49 lr: 0.002371 loss: 0.0376 (0.0374) loss_rec_all: 0.0733 (0.0734) loss_rec_sfr: 0.1206 (0.1086) loss_cl: -0.3677 (-0.3671) time: 0.8601 data: 0.0002 max mem: 29859 [22:28:55.592256] Epoch: [93] [400/850] eta: 0:06:32 lr: 0.002371 loss: 0.0352 (0.0374) loss_rec_all: 0.0713 (0.0733) loss_rec_sfr: 0.0745 (0.1080) loss_cl: -0.3668 (-0.3671) time: 0.8637 data: 0.0002 max mem: 29859 [22:29:12.834192] Epoch: [93] [420/850] eta: 0:06:14 lr: 0.002371 loss: 0.0377 (0.0374) loss_rec_all: 0.0733 (0.0734) loss_rec_sfr: 0.1148 (0.1082) loss_cl: -0.3670 (-0.3671) time: 0.8621 data: 0.0002 max mem: 29859 [22:29:30.075709] Epoch: [93] [440/850] eta: 0:05:57 lr: 0.002371 loss: 0.0349 (0.0374) loss_rec_all: 0.0710 (0.0733) loss_rec_sfr: 0.0887 (0.1079) loss_cl: -0.3676 (-0.3671) time: 0.8620 data: 0.0002 max mem: 29859 [22:29:47.317301] Epoch: [93] [460/850] eta: 0:05:39 lr: 0.002371 loss: 0.0360 (0.0373) loss_rec_all: 0.0717 (0.0733) loss_rec_sfr: 0.0885 (0.1078) loss_cl: -0.3677 (-0.3671) time: 0.8620 data: 0.0002 max mem: 29859 [22:30:04.605713] Epoch: [93] [480/850] eta: 0:05:21 lr: 0.002371 loss: 0.0353 (0.0373) loss_rec_all: 0.0713 (0.0732) loss_rec_sfr: 0.1181 (0.1081) loss_cl: -0.3669 (-0.3671) time: 0.8644 data: 0.0003 max mem: 29859 [22:30:21.799752] Epoch: [93] [500/850] eta: 0:05:04 lr: 0.002371 loss: 0.0348 (0.0372) loss_rec_all: 0.0709 (0.0732) loss_rec_sfr: 0.0807 (0.1076) loss_cl: -0.3670 (-0.3671) time: 0.8596 data: 0.0002 max mem: 29859 [22:30:39.067557] Epoch: [93] [520/850] eta: 0:04:46 lr: 0.002371 loss: 0.0341 (0.0371) loss_rec_all: 0.0700 (0.0731) loss_rec_sfr: 0.1084 (0.1076) loss_cl: -0.3674 (-0.3671) time: 0.8633 data: 0.0002 max mem: 29859 [22:30:56.303646] Epoch: [93] [540/850] eta: 0:04:29 lr: 0.002371 loss: 0.0352 (0.0371) loss_rec_all: 0.0710 (0.0730) loss_rec_sfr: 0.0916 (0.1076) loss_cl: -0.3673 (-0.3671) time: 0.8618 data: 0.0002 max mem: 29859 [22:31:13.538357] Epoch: [93] [560/850] eta: 0:04:11 lr: 0.002371 loss: 0.0369 (0.0371) loss_rec_all: 0.0731 (0.0731) loss_rec_sfr: 0.0832 (0.1073) loss_cl: -0.3675 (-0.3671) time: 0.8617 data: 0.0002 max mem: 29859 [22:31:30.772371] Epoch: [93] [580/850] eta: 0:03:54 lr: 0.002371 loss: 0.0356 (0.0371) loss_rec_all: 0.0715 (0.0730) loss_rec_sfr: 0.0845 (0.1071) loss_cl: -0.3672 (-0.3671) time: 0.8616 data: 0.0002 max mem: 29859 [22:31:48.043798] Epoch: [93] [600/850] eta: 0:03:37 lr: 0.002371 loss: 0.0353 (0.0370) loss_rec_all: 0.0714 (0.0730) loss_rec_sfr: 0.1065 (0.1071) loss_cl: -0.3670 (-0.3671) time: 0.8635 data: 0.0002 max mem: 29859 [22:32:05.234852] Epoch: [93] [620/850] eta: 0:03:19 lr: 0.002371 loss: 0.0368 (0.0371) loss_rec_all: 0.0724 (0.0730) loss_rec_sfr: 0.1136 (0.1074) loss_cl: -0.3666 (-0.3671) time: 0.8595 data: 0.0002 max mem: 29859 [22:32:22.507173] Epoch: [93] [640/850] eta: 0:03:02 lr: 0.002370 loss: 0.0347 (0.0370) loss_rec_all: 0.0705 (0.0730) loss_rec_sfr: 0.0998 (0.1075) loss_cl: -0.3672 (-0.3671) time: 0.8636 data: 0.0002 max mem: 29859 [22:32:39.740245] Epoch: [93] [660/850] eta: 0:02:44 lr: 0.002370 loss: 0.0399 (0.0372) loss_rec_all: 0.0759 (0.0732) loss_rec_sfr: 0.1217 (0.1079) loss_cl: -0.3674 (-0.3671) time: 0.8616 data: 0.0002 max mem: 29859 [22:32:56.970059] Epoch: [93] [680/850] eta: 0:02:27 lr: 0.002370 loss: 0.0437 (0.0374) loss_rec_all: 0.0798 (0.0734) loss_rec_sfr: 0.1147 (0.1081) loss_cl: -0.3672 (-0.3671) time: 0.8614 data: 0.0002 max mem: 29859 [22:33:14.202343] Epoch: [93] [700/850] eta: 0:02:10 lr: 0.002370 loss: 0.0408 (0.0376) loss_rec_all: 0.0766 (0.0735) loss_rec_sfr: 0.1252 (0.1083) loss_cl: -0.3673 (-0.3671) time: 0.8616 data: 0.0002 max mem: 29859 [22:33:31.459204] Epoch: [93] [720/850] eta: 0:01:52 lr: 0.002370 loss: 0.0386 (0.0376) loss_rec_all: 0.0746 (0.0735) loss_rec_sfr: 0.1187 (0.1085) loss_cl: -0.3679 (-0.3671) time: 0.8628 data: 0.0002 max mem: 29859 [22:33:48.660071] Epoch: [93] [740/850] eta: 0:01:35 lr: 0.002370 loss: 0.0393 (0.0377) loss_rec_all: 0.0749 (0.0737) loss_rec_sfr: 0.1091 (0.1084) loss_cl: -0.3670 (-0.3671) time: 0.8600 data: 0.0002 max mem: 29859 [22:34:05.942961] Epoch: [93] [760/850] eta: 0:01:18 lr: 0.002370 loss: 0.0378 (0.0378) loss_rec_all: 0.0741 (0.0737) loss_rec_sfr: 0.1187 (0.1086) loss_cl: -0.3674 (-0.3671) time: 0.8641 data: 0.0002 max mem: 29859 [22:34:23.184855] Epoch: [93] [780/850] eta: 0:01:00 lr: 0.002370 loss: 0.0362 (0.0378) loss_rec_all: 0.0722 (0.0737) loss_rec_sfr: 0.1120 (0.1086) loss_cl: -0.3678 (-0.3671) time: 0.8620 data: 0.0002 max mem: 29859 [22:34:40.421472] Epoch: [93] [800/850] eta: 0:00:43 lr: 0.002370 loss: 0.0363 (0.0378) loss_rec_all: 0.0724 (0.0737) loss_rec_sfr: 0.0889 (0.1085) loss_cl: -0.3659 (-0.3671) time: 0.8618 data: 0.0002 max mem: 29859 [22:34:57.666966] Epoch: [93] [820/850] eta: 0:00:26 lr: 0.002370 loss: 0.0352 (0.0377) loss_rec_all: 0.0711 (0.0737) loss_rec_sfr: 0.0862 (0.1082) loss_cl: -0.3668 (-0.3671) time: 0.8622 data: 0.0002 max mem: 29859 [22:35:14.937246] Epoch: [93] [840/850] eta: 0:00:08 lr: 0.002370 loss: 0.0334 (0.0377) loss_rec_all: 0.0695 (0.0736) loss_rec_sfr: 0.1106 (0.1083) loss_cl: -0.3665 (-0.3671) time: 0.8635 data: 0.0005 max mem: 29859 [22:35:22.674816] Epoch: [93] [849/850] eta: 0:00:00 lr: 0.002370 loss: 0.0330 (0.0376) loss_rec_all: 0.0689 (0.0736) loss_rec_sfr: 0.0826 (0.1080) loss_cl: -0.3669 (-0.3671) time: 0.8615 data: 0.0005 max mem: 29859 [22:35:22.812770] Epoch: [93] Total time: 0:12:16 (0.8668 s / it) [22:35:22.815120] Averaged stats: lr: 0.002370 loss: 0.0330 (0.0377) loss_rec_all: 0.0689 (0.0737) loss_rec_sfr: 0.0826 (0.1082) loss_cl: -0.3669 (-0.3671) [22:35:22.827953] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [22:35:27.097265] Epoch: [94] [ 0/850] eta: 1:00:28 lr: 0.002370 loss: 0.0341 (0.0341) loss_rec_all: 0.0704 (0.0704) loss_rec_sfr: 0.0646 (0.0646) loss_cl: -0.3678 (-0.3678) time: 4.2685 data: 3.0051 max mem: 29859 [22:35:44.309491] Epoch: [94] [ 20/850] eta: 0:14:08 lr: 0.002370 loss: 0.0340 (0.0348) loss_rec_all: 0.0700 (0.0707) loss_rec_sfr: 0.1067 (0.1025) loss_cl: -0.3668 (-0.3667) time: 0.8606 data: 0.0002 max mem: 29859 [22:36:01.593546] Epoch: [94] [ 40/850] eta: 0:12:45 lr: 0.002370 loss: 0.0336 (0.0348) loss_rec_all: 0.0697 (0.0707) loss_rec_sfr: 0.0915 (0.1044) loss_cl: -0.3673 (-0.3670) time: 0.8642 data: 0.0002 max mem: 29859 [22:36:18.778181] Epoch: [94] [ 60/850] eta: 0:12:04 lr: 0.002370 loss: 0.0367 (0.0355) loss_rec_all: 0.0725 (0.0714) loss_rec_sfr: 0.1106 (0.1064) loss_cl: -0.3668 (-0.3670) time: 0.8592 data: 0.0002 max mem: 29859 [22:36:36.022556] Epoch: [94] [ 80/850] eta: 0:11:35 lr: 0.002370 loss: 0.0349 (0.0354) loss_rec_all: 0.0710 (0.0714) loss_rec_sfr: 0.0874 (0.1054) loss_cl: -0.3674 (-0.3671) time: 0.8622 data: 0.0002 max mem: 29859 [22:36:53.262965] Epoch: [94] [100/850] eta: 0:11:11 lr: 0.002370 loss: 0.0347 (0.0353) loss_rec_all: 0.0709 (0.0713) loss_rec_sfr: 0.0929 (0.1051) loss_cl: -0.3680 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [22:37:10.501121] Epoch: [94] [120/850] eta: 0:10:49 lr: 0.002370 loss: 0.0349 (0.0353) loss_rec_all: 0.0711 (0.0714) loss_rec_sfr: 0.0869 (0.1044) loss_cl: -0.3678 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [22:37:27.722234] Epoch: [94] [140/850] eta: 0:10:28 lr: 0.002370 loss: 0.0367 (0.0357) loss_rec_all: 0.0728 (0.0717) loss_rec_sfr: 0.1138 (0.1055) loss_cl: -0.3679 (-0.3674) time: 0.8610 data: 0.0002 max mem: 29859 [22:37:45.029431] Epoch: [94] [160/850] eta: 0:10:09 lr: 0.002370 loss: 0.0360 (0.0359) loss_rec_all: 0.0720 (0.0719) loss_rec_sfr: 0.0860 (0.1048) loss_cl: -0.3672 (-0.3674) time: 0.8653 data: 0.0003 max mem: 29859 [22:38:02.225611] Epoch: [94] [180/850] eta: 0:09:49 lr: 0.002370 loss: 0.0370 (0.0363) loss_rec_all: 0.0726 (0.0723) loss_rec_sfr: 0.0916 (0.1050) loss_cl: -0.3662 (-0.3673) time: 0.8598 data: 0.0002 max mem: 29859 [22:38:19.509846] Epoch: [94] [200/850] eta: 0:09:31 lr: 0.002370 loss: 0.0396 (0.0369) loss_rec_all: 0.0757 (0.0729) loss_rec_sfr: 0.0879 (0.1055) loss_cl: -0.3658 (-0.3671) time: 0.8642 data: 0.0002 max mem: 29859 [22:38:36.743276] Epoch: [94] [220/850] eta: 0:09:12 lr: 0.002370 loss: 0.0416 (0.0373) loss_rec_all: 0.0774 (0.0733) loss_rec_sfr: 0.0975 (0.1061) loss_cl: -0.3661 (-0.3670) time: 0.8616 data: 0.0002 max mem: 29859 [22:38:53.974743] Epoch: [94] [240/850] eta: 0:08:54 lr: 0.002370 loss: 0.0391 (0.0376) loss_rec_all: 0.0751 (0.0736) loss_rec_sfr: 0.1201 (0.1067) loss_cl: -0.3668 (-0.3670) time: 0.8615 data: 0.0002 max mem: 29859 [22:39:11.197951] Epoch: [94] [260/850] eta: 0:08:36 lr: 0.002370 loss: 0.0389 (0.0378) loss_rec_all: 0.0747 (0.0738) loss_rec_sfr: 0.1296 (0.1085) loss_cl: -0.3675 (-0.3670) time: 0.8611 data: 0.0002 max mem: 29859 [22:39:28.483322] Epoch: [94] [280/850] eta: 0:08:18 lr: 0.002370 loss: 0.0371 (0.0379) loss_rec_all: 0.0730 (0.0738) loss_rec_sfr: 0.1124 (0.1084) loss_cl: -0.3678 (-0.3671) time: 0.8642 data: 0.0002 max mem: 29859 [22:39:45.681438] Epoch: [94] [300/850] eta: 0:08:00 lr: 0.002370 loss: 0.0348 (0.0377) loss_rec_all: 0.0709 (0.0737) loss_rec_sfr: 0.1012 (0.1084) loss_cl: -0.3681 (-0.3671) time: 0.8599 data: 0.0002 max mem: 29859 [22:40:02.946215] Epoch: [94] [320/850] eta: 0:07:42 lr: 0.002370 loss: 0.0343 (0.0376) loss_rec_all: 0.0706 (0.0736) loss_rec_sfr: 0.0842 (0.1080) loss_cl: -0.3675 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [22:40:20.168444] Epoch: [94] [340/850] eta: 0:07:24 lr: 0.002370 loss: 0.0339 (0.0374) loss_rec_all: 0.0699 (0.0734) loss_rec_sfr: 0.0921 (0.1078) loss_cl: -0.3672 (-0.3672) time: 0.8611 data: 0.0002 max mem: 29859 [22:40:37.399408] Epoch: [94] [360/850] eta: 0:07:06 lr: 0.002370 loss: 0.0346 (0.0373) loss_rec_all: 0.0703 (0.0733) loss_rec_sfr: 0.0974 (0.1076) loss_cl: -0.3675 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [22:40:54.640780] Epoch: [94] [380/850] eta: 0:06:49 lr: 0.002370 loss: 0.0340 (0.0372) loss_rec_all: 0.0701 (0.0731) loss_rec_sfr: 0.1063 (0.1076) loss_cl: -0.3671 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [22:41:11.903526] Epoch: [94] [400/850] eta: 0:06:31 lr: 0.002370 loss: 0.0356 (0.0371) loss_rec_all: 0.0712 (0.0731) loss_rec_sfr: 0.1088 (0.1077) loss_cl: -0.3672 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [22:41:29.098324] Epoch: [94] [420/850] eta: 0:06:14 lr: 0.002370 loss: 0.0344 (0.0370) loss_rec_all: 0.0702 (0.0730) loss_rec_sfr: 0.0815 (0.1073) loss_cl: -0.3669 (-0.3672) time: 0.8597 data: 0.0002 max mem: 29859 [22:41:46.387125] Epoch: [94] [440/850] eta: 0:05:56 lr: 0.002370 loss: 0.0350 (0.0370) loss_rec_all: 0.0709 (0.0729) loss_rec_sfr: 0.1048 (0.1070) loss_cl: -0.3663 (-0.3671) time: 0.8644 data: 0.0002 max mem: 29859 [22:42:03.610079] Epoch: [94] [460/850] eta: 0:05:39 lr: 0.002370 loss: 0.0346 (0.0369) loss_rec_all: 0.0706 (0.0729) loss_rec_sfr: 0.1119 (0.1073) loss_cl: -0.3665 (-0.3671) time: 0.8611 data: 0.0002 max mem: 29859 [22:42:20.844841] Epoch: [94] [480/850] eta: 0:05:21 lr: 0.002370 loss: 0.0347 (0.0368) loss_rec_all: 0.0709 (0.0728) loss_rec_sfr: 0.0738 (0.1065) loss_cl: -0.3671 (-0.3671) time: 0.8617 data: 0.0002 max mem: 29859 [22:42:38.077830] Epoch: [94] [500/850] eta: 0:05:04 lr: 0.002370 loss: 0.0351 (0.0368) loss_rec_all: 0.0713 (0.0727) loss_rec_sfr: 0.0775 (0.1061) loss_cl: -0.3676 (-0.3671) time: 0.8616 data: 0.0002 max mem: 29859 [22:42:55.342645] Epoch: [94] [520/850] eta: 0:04:46 lr: 0.002370 loss: 0.0361 (0.0368) loss_rec_all: 0.0722 (0.0728) loss_rec_sfr: 0.1140 (0.1063) loss_cl: -0.3681 (-0.3671) time: 0.8632 data: 0.0002 max mem: 29859 [22:43:12.537444] Epoch: [94] [540/850] eta: 0:04:29 lr: 0.002370 loss: 0.0344 (0.0367) loss_rec_all: 0.0704 (0.0727) loss_rec_sfr: 0.1048 (0.1064) loss_cl: -0.3676 (-0.3671) time: 0.8597 data: 0.0002 max mem: 29859 [22:43:29.830391] Epoch: [94] [560/850] eta: 0:04:11 lr: 0.002370 loss: 0.0331 (0.0366) loss_rec_all: 0.0693 (0.0726) loss_rec_sfr: 0.0838 (0.1059) loss_cl: -0.3672 (-0.3672) time: 0.8646 data: 0.0002 max mem: 29859 [22:43:47.038521] Epoch: [94] [580/850] eta: 0:03:54 lr: 0.002369 loss: 0.0339 (0.0366) loss_rec_all: 0.0701 (0.0726) loss_rec_sfr: 0.0865 (0.1055) loss_cl: -0.3673 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [22:44:04.278498] Epoch: [94] [600/850] eta: 0:03:36 lr: 0.002369 loss: 0.0341 (0.0366) loss_rec_all: 0.0702 (0.0725) loss_rec_sfr: 0.0838 (0.1050) loss_cl: -0.3670 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [22:44:21.545549] Epoch: [94] [620/850] eta: 0:03:19 lr: 0.002369 loss: 0.0345 (0.0365) loss_rec_all: 0.0703 (0.0725) loss_rec_sfr: 0.1085 (0.1053) loss_cl: -0.3667 (-0.3671) time: 0.8633 data: 0.0002 max mem: 29859 [22:44:38.801033] Epoch: [94] [640/850] eta: 0:03:02 lr: 0.002369 loss: 0.0353 (0.0365) loss_rec_all: 0.0714 (0.0725) loss_rec_sfr: 0.0876 (0.1054) loss_cl: -0.3666 (-0.3671) time: 0.8627 data: 0.0002 max mem: 29859 [22:44:55.984987] Epoch: [94] [660/850] eta: 0:02:44 lr: 0.002369 loss: 0.0349 (0.0365) loss_rec_all: 0.0710 (0.0725) loss_rec_sfr: 0.0807 (0.1053) loss_cl: -0.3667 (-0.3671) time: 0.8592 data: 0.0002 max mem: 29859 [22:45:13.271795] Epoch: [94] [680/850] eta: 0:02:27 lr: 0.002369 loss: 0.0367 (0.0365) loss_rec_all: 0.0722 (0.0725) loss_rec_sfr: 0.1103 (0.1055) loss_cl: -0.3672 (-0.3671) time: 0.8643 data: 0.0002 max mem: 29859 [22:45:30.475509] Epoch: [94] [700/850] eta: 0:02:10 lr: 0.002369 loss: 0.0362 (0.0366) loss_rec_all: 0.0725 (0.0725) loss_rec_sfr: 0.0831 (0.1056) loss_cl: -0.3678 (-0.3671) time: 0.8601 data: 0.0002 max mem: 29859 [22:45:47.708940] Epoch: [94] [720/850] eta: 0:01:52 lr: 0.002369 loss: 0.0365 (0.0366) loss_rec_all: 0.0724 (0.0726) loss_rec_sfr: 0.1167 (0.1058) loss_cl: -0.3682 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [22:46:04.987596] Epoch: [94] [740/850] eta: 0:01:35 lr: 0.002369 loss: 0.0350 (0.0366) loss_rec_all: 0.0713 (0.0726) loss_rec_sfr: 0.0795 (0.1057) loss_cl: -0.3679 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [22:46:22.226732] Epoch: [94] [760/850] eta: 0:01:17 lr: 0.002369 loss: 0.0358 (0.0366) loss_rec_all: 0.0720 (0.0725) loss_rec_sfr: 0.0815 (0.1054) loss_cl: -0.3673 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [22:46:39.437872] Epoch: [94] [780/850] eta: 0:01:00 lr: 0.002369 loss: 0.0360 (0.0366) loss_rec_all: 0.0716 (0.0726) loss_rec_sfr: 0.1108 (0.1055) loss_cl: -0.3661 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [22:46:56.763746] Epoch: [94] [800/850] eta: 0:00:43 lr: 0.002369 loss: 0.0339 (0.0366) loss_rec_all: 0.0701 (0.0725) loss_rec_sfr: 0.0824 (0.1052) loss_cl: -0.3668 (-0.3671) time: 0.8662 data: 0.0002 max mem: 29859 [22:47:13.971329] Epoch: [94] [820/850] eta: 0:00:25 lr: 0.002369 loss: 0.0364 (0.0366) loss_rec_all: 0.0726 (0.0725) loss_rec_sfr: 0.0850 (0.1052) loss_cl: -0.3674 (-0.3671) time: 0.8603 data: 0.0002 max mem: 29859 [22:47:31.221829] Epoch: [94] [840/850] eta: 0:00:08 lr: 0.002369 loss: 0.0362 (0.0366) loss_rec_all: 0.0721 (0.0725) loss_rec_sfr: 0.1061 (0.1051) loss_cl: -0.3675 (-0.3672) time: 0.8625 data: 0.0004 max mem: 29859 [22:47:38.994808] Epoch: [94] [849/850] eta: 0:00:00 lr: 0.002369 loss: 0.0367 (0.0366) loss_rec_all: 0.0727 (0.0725) loss_rec_sfr: 0.1052 (0.1052) loss_cl: -0.3676 (-0.3672) time: 0.8638 data: 0.0004 max mem: 29859 [22:47:39.139481] Epoch: [94] Total time: 0:12:16 (0.8662 s / it) [22:47:39.144246] Averaged stats: lr: 0.002369 loss: 0.0367 (0.0367) loss_rec_all: 0.0727 (0.0727) loss_rec_sfr: 0.1052 (0.1053) loss_cl: -0.3676 (-0.3671) [22:47:39.166164] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [22:47:43.646914] Epoch: [95] [ 0/850] eta: 1:03:27 lr: 0.002369 loss: 0.0454 (0.0454) loss_rec_all: 0.0813 (0.0813) loss_rec_sfr: 0.1126 (0.1126) loss_cl: -0.3670 (-0.3670) time: 4.4798 data: 3.5356 max mem: 29859 [22:48:00.810302] Epoch: [95] [ 20/850] eta: 0:14:15 lr: 0.002369 loss: 0.0396 (0.0438) loss_rec_all: 0.0757 (0.0798) loss_rec_sfr: 0.1010 (0.1093) loss_cl: -0.3675 (-0.3674) time: 0.8581 data: 0.0002 max mem: 29859 [22:48:18.061910] Epoch: [95] [ 40/850] eta: 0:12:48 lr: 0.002369 loss: 0.0404 (0.0428) loss_rec_all: 0.0764 (0.0787) loss_rec_sfr: 0.0904 (0.1059) loss_cl: -0.3671 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [22:48:35.342031] Epoch: [95] [ 60/850] eta: 0:12:07 lr: 0.002369 loss: 0.0396 (0.0420) loss_rec_all: 0.0756 (0.0780) loss_rec_sfr: 0.0969 (0.1069) loss_cl: -0.3672 (-0.3672) time: 0.8640 data: 0.0002 max mem: 29859 [22:48:52.578860] Epoch: [95] [ 80/850] eta: 0:11:37 lr: 0.002369 loss: 0.0378 (0.0413) loss_rec_all: 0.0736 (0.0772) loss_rec_sfr: 0.1321 (0.1105) loss_cl: -0.3671 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [22:49:09.788494] Epoch: [95] [100/850] eta: 0:11:12 lr: 0.002369 loss: 0.0364 (0.0403) loss_rec_all: 0.0722 (0.0763) loss_rec_sfr: 0.0888 (0.1089) loss_cl: -0.3678 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [22:49:27.096633] Epoch: [95] [120/850] eta: 0:10:51 lr: 0.002369 loss: 0.0366 (0.0399) loss_rec_all: 0.0727 (0.0758) loss_rec_sfr: 0.1194 (0.1099) loss_cl: -0.3678 (-0.3673) time: 0.8654 data: 0.0002 max mem: 29859 [22:49:44.296790] Epoch: [95] [140/850] eta: 0:10:30 lr: 0.002369 loss: 0.0350 (0.0394) loss_rec_all: 0.0711 (0.0754) loss_rec_sfr: 0.1182 (0.1106) loss_cl: -0.3675 (-0.3674) time: 0.8600 data: 0.0002 max mem: 29859 [22:50:01.560066] Epoch: [95] [160/850] eta: 0:10:10 lr: 0.002369 loss: 0.0344 (0.0389) loss_rec_all: 0.0702 (0.0749) loss_rec_sfr: 0.0826 (0.1093) loss_cl: -0.3669 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [22:50:18.828667] Epoch: [95] [180/850] eta: 0:09:50 lr: 0.002369 loss: 0.0345 (0.0386) loss_rec_all: 0.0704 (0.0746) loss_rec_sfr: 0.1062 (0.1084) loss_cl: -0.3664 (-0.3672) time: 0.8634 data: 0.0002 max mem: 29859 [22:50:36.069754] Epoch: [95] [200/850] eta: 0:09:32 lr: 0.002369 loss: 0.0346 (0.0383) loss_rec_all: 0.0707 (0.0743) loss_rec_sfr: 0.0827 (0.1075) loss_cl: -0.3666 (-0.3671) time: 0.8620 data: 0.0002 max mem: 29859 [22:50:53.291336] Epoch: [95] [220/850] eta: 0:09:13 lr: 0.002369 loss: 0.0338 (0.0379) loss_rec_all: 0.0700 (0.0739) loss_rec_sfr: 0.0823 (0.1070) loss_cl: -0.3673 (-0.3672) time: 0.8610 data: 0.0002 max mem: 29859 [22:51:10.590878] Epoch: [95] [240/850] eta: 0:08:55 lr: 0.002369 loss: 0.0340 (0.0378) loss_rec_all: 0.0702 (0.0737) loss_rec_sfr: 0.1051 (0.1068) loss_cl: -0.3675 (-0.3672) time: 0.8649 data: 0.0002 max mem: 29859 [22:51:27.786983] Epoch: [95] [260/850] eta: 0:08:36 lr: 0.002369 loss: 0.0359 (0.0377) loss_rec_all: 0.0717 (0.0737) loss_rec_sfr: 0.1123 (0.1074) loss_cl: -0.3677 (-0.3672) time: 0.8598 data: 0.0002 max mem: 29859 [22:51:45.044525] Epoch: [95] [280/850] eta: 0:08:18 lr: 0.002369 loss: 0.0361 (0.0377) loss_rec_all: 0.0719 (0.0736) loss_rec_sfr: 0.1006 (0.1074) loss_cl: -0.3675 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [22:52:02.329194] Epoch: [95] [300/850] eta: 0:08:00 lr: 0.002369 loss: 0.0358 (0.0377) loss_rec_all: 0.0715 (0.0737) loss_rec_sfr: 0.1199 (0.1081) loss_cl: -0.3675 (-0.3672) time: 0.8642 data: 0.0002 max mem: 29859 [22:52:19.567571] Epoch: [95] [320/850] eta: 0:07:42 lr: 0.002369 loss: 0.0368 (0.0377) loss_rec_all: 0.0726 (0.0736) loss_rec_sfr: 0.0921 (0.1079) loss_cl: -0.3673 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [22:52:36.808160] Epoch: [95] [340/850] eta: 0:07:25 lr: 0.002369 loss: 0.0341 (0.0375) loss_rec_all: 0.0702 (0.0735) loss_rec_sfr: 0.1045 (0.1079) loss_cl: -0.3676 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [22:52:54.091356] Epoch: [95] [360/850] eta: 0:07:07 lr: 0.002369 loss: 0.0362 (0.0375) loss_rec_all: 0.0720 (0.0734) loss_rec_sfr: 0.1095 (0.1081) loss_cl: -0.3672 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [22:53:11.289616] Epoch: [95] [380/850] eta: 0:06:49 lr: 0.002369 loss: 0.0345 (0.0374) loss_rec_all: 0.0702 (0.0733) loss_rec_sfr: 0.0859 (0.1075) loss_cl: -0.3665 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [22:53:28.578345] Epoch: [95] [400/850] eta: 0:06:32 lr: 0.002369 loss: 0.0338 (0.0372) loss_rec_all: 0.0699 (0.0732) loss_rec_sfr: 0.0842 (0.1071) loss_cl: -0.3672 (-0.3672) time: 0.8644 data: 0.0003 max mem: 29859 [22:53:45.812115] Epoch: [95] [420/850] eta: 0:06:14 lr: 0.002369 loss: 0.0336 (0.0371) loss_rec_all: 0.0694 (0.0731) loss_rec_sfr: 0.0980 (0.1067) loss_cl: -0.3664 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [22:54:03.052025] Epoch: [95] [440/850] eta: 0:05:56 lr: 0.002369 loss: 0.0326 (0.0370) loss_rec_all: 0.0686 (0.0729) loss_rec_sfr: 0.0808 (0.1061) loss_cl: -0.3667 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [22:54:20.325843] Epoch: [95] [460/850] eta: 0:05:39 lr: 0.002369 loss: 0.0320 (0.0368) loss_rec_all: 0.0682 (0.0728) loss_rec_sfr: 0.0778 (0.1058) loss_cl: -0.3674 (-0.3672) time: 0.8636 data: 0.0003 max mem: 29859 [22:54:37.569338] Epoch: [95] [480/850] eta: 0:05:21 lr: 0.002368 loss: 0.0354 (0.0368) loss_rec_all: 0.0715 (0.0728) loss_rec_sfr: 0.0881 (0.1056) loss_cl: -0.3676 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [22:54:54.777308] Epoch: [95] [500/850] eta: 0:05:04 lr: 0.002368 loss: 0.0365 (0.0369) loss_rec_all: 0.0725 (0.0728) loss_rec_sfr: 0.0929 (0.1056) loss_cl: -0.3671 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [22:55:12.113635] Epoch: [95] [520/850] eta: 0:04:46 lr: 0.002368 loss: 0.0341 (0.0368) loss_rec_all: 0.0697 (0.0728) loss_rec_sfr: 0.0914 (0.1055) loss_cl: -0.3667 (-0.3671) time: 0.8668 data: 0.0003 max mem: 29859 [22:55:29.316025] Epoch: [95] [540/850] eta: 0:04:29 lr: 0.002368 loss: 0.0346 (0.0368) loss_rec_all: 0.0704 (0.0727) loss_rec_sfr: 0.0859 (0.1053) loss_cl: -0.3667 (-0.3671) time: 0.8601 data: 0.0002 max mem: 29859 [22:55:46.571691] Epoch: [95] [560/850] eta: 0:04:11 lr: 0.002368 loss: 0.0358 (0.0368) loss_rec_all: 0.0715 (0.0727) loss_rec_sfr: 0.1082 (0.1053) loss_cl: -0.3676 (-0.3671) time: 0.8627 data: 0.0002 max mem: 29859 [22:56:03.831852] Epoch: [95] [580/850] eta: 0:03:54 lr: 0.002368 loss: 0.0360 (0.0367) loss_rec_all: 0.0721 (0.0727) loss_rec_sfr: 0.0854 (0.1051) loss_cl: -0.3677 (-0.3672) time: 0.8630 data: 0.0003 max mem: 29859 [22:56:21.069294] Epoch: [95] [600/850] eta: 0:03:37 lr: 0.002368 loss: 0.0374 (0.0368) loss_rec_all: 0.0733 (0.0728) loss_rec_sfr: 0.1251 (0.1057) loss_cl: -0.3679 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [22:56:38.316383] Epoch: [95] [620/850] eta: 0:03:19 lr: 0.002368 loss: 0.0384 (0.0369) loss_rec_all: 0.0746 (0.0729) loss_rec_sfr: 0.1163 (0.1058) loss_cl: -0.3677 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [22:56:55.588393] Epoch: [95] [640/850] eta: 0:03:02 lr: 0.002368 loss: 0.0349 (0.0369) loss_rec_all: 0.0706 (0.0729) loss_rec_sfr: 0.1123 (0.1058) loss_cl: -0.3670 (-0.3672) time: 0.8635 data: 0.0002 max mem: 29859 [22:57:12.788829] Epoch: [95] [660/850] eta: 0:02:44 lr: 0.002368 loss: 0.0339 (0.0369) loss_rec_all: 0.0702 (0.0729) loss_rec_sfr: 0.0848 (0.1054) loss_cl: -0.3673 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [22:57:30.086008] Epoch: [95] [680/850] eta: 0:02:27 lr: 0.002368 loss: 0.0338 (0.0369) loss_rec_all: 0.0698 (0.0728) loss_rec_sfr: 0.1164 (0.1056) loss_cl: -0.3674 (-0.3672) time: 0.8648 data: 0.0002 max mem: 29859 [22:57:47.298493] Epoch: [95] [700/850] eta: 0:02:10 lr: 0.002368 loss: 0.0336 (0.0368) loss_rec_all: 0.0698 (0.0728) loss_rec_sfr: 0.1070 (0.1054) loss_cl: -0.3675 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [22:58:04.543004] Epoch: [95] [720/850] eta: 0:01:52 lr: 0.002368 loss: 0.0336 (0.0368) loss_rec_all: 0.0698 (0.0728) loss_rec_sfr: 0.0823 (0.1051) loss_cl: -0.3679 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [22:58:21.813590] Epoch: [95] [740/850] eta: 0:01:35 lr: 0.002368 loss: 0.0370 (0.0368) loss_rec_all: 0.0727 (0.0728) loss_rec_sfr: 0.1147 (0.1054) loss_cl: -0.3669 (-0.3672) time: 0.8635 data: 0.0002 max mem: 29859 [22:58:39.062466] Epoch: [95] [760/850] eta: 0:01:18 lr: 0.002368 loss: 0.0350 (0.0368) loss_rec_all: 0.0707 (0.0728) loss_rec_sfr: 0.0854 (0.1052) loss_cl: -0.3665 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [22:58:56.264342] Epoch: [95] [780/850] eta: 0:01:00 lr: 0.002368 loss: 0.0367 (0.0368) loss_rec_all: 0.0727 (0.0728) loss_rec_sfr: 0.1086 (0.1053) loss_cl: -0.3662 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [22:59:13.592807] Epoch: [95] [800/850] eta: 0:00:43 lr: 0.002368 loss: 0.0364 (0.0368) loss_rec_all: 0.0721 (0.0728) loss_rec_sfr: 0.1083 (0.1055) loss_cl: -0.3669 (-0.3672) time: 0.8664 data: 0.0002 max mem: 29859 [22:59:30.799036] Epoch: [95] [820/850] eta: 0:00:26 lr: 0.002368 loss: 0.0351 (0.0368) loss_rec_all: 0.0714 (0.0728) loss_rec_sfr: 0.1051 (0.1055) loss_cl: -0.3676 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [22:59:48.044390] Epoch: [95] [840/850] eta: 0:00:08 lr: 0.002368 loss: 0.0336 (0.0368) loss_rec_all: 0.0699 (0.0728) loss_rec_sfr: 0.0733 (0.1051) loss_cl: -0.3682 (-0.3672) time: 0.8622 data: 0.0004 max mem: 29859 [22:59:55.803816] Epoch: [95] [849/850] eta: 0:00:00 lr: 0.002368 loss: 0.0346 (0.0368) loss_rec_all: 0.0709 (0.0728) loss_rec_sfr: 0.0733 (0.1052) loss_cl: -0.3684 (-0.3672) time: 0.8628 data: 0.0004 max mem: 29859 [22:59:55.948515] Epoch: [95] Total time: 0:12:16 (0.8668 s / it) [22:59:55.957138] Averaged stats: lr: 0.002368 loss: 0.0346 (0.0367) loss_rec_all: 0.0709 (0.0727) loss_rec_sfr: 0.0733 (0.1041) loss_cl: -0.3684 (-0.3672) [22:59:55.977508] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [23:00:00.427476] Epoch: [96] [ 0/850] eta: 1:03:01 lr: 0.002368 loss: 0.0361 (0.0361) loss_rec_all: 0.0718 (0.0718) loss_rec_sfr: 0.1448 (0.1448) loss_cl: -0.3670 (-0.3670) time: 4.4492 data: 3.2373 max mem: 29859 [23:00:17.611166] Epoch: [96] [ 20/850] eta: 0:14:14 lr: 0.002368 loss: 0.0347 (0.0358) loss_rec_all: 0.0704 (0.0718) loss_rec_sfr: 0.0859 (0.1039) loss_cl: -0.3677 (-0.3678) time: 0.8591 data: 0.0002 max mem: 29859 [23:00:34.844076] Epoch: [96] [ 40/850] eta: 0:12:47 lr: 0.002368 loss: 0.0367 (0.0365) loss_rec_all: 0.0725 (0.0724) loss_rec_sfr: 0.1094 (0.1087) loss_cl: -0.3670 (-0.3674) time: 0.8616 data: 0.0002 max mem: 29859 [23:00:52.115203] Epoch: [96] [ 60/850] eta: 0:12:06 lr: 0.002368 loss: 0.0349 (0.0361) loss_rec_all: 0.0707 (0.0720) loss_rec_sfr: 0.0895 (0.1060) loss_cl: -0.3664 (-0.3670) time: 0.8635 data: 0.0002 max mem: 29859 [23:01:09.369275] Epoch: [96] [ 80/850] eta: 0:11:37 lr: 0.002368 loss: 0.0346 (0.0359) loss_rec_all: 0.0706 (0.0719) loss_rec_sfr: 0.0920 (0.1051) loss_cl: -0.3668 (-0.3669) time: 0.8627 data: 0.0002 max mem: 29859 [23:01:26.570763] Epoch: [96] [100/850] eta: 0:11:12 lr: 0.002368 loss: 0.0380 (0.0366) loss_rec_all: 0.0736 (0.0725) loss_rec_sfr: 0.1245 (0.1097) loss_cl: -0.3669 (-0.3669) time: 0.8600 data: 0.0002 max mem: 29859 [23:01:43.883264] Epoch: [96] [120/850] eta: 0:10:50 lr: 0.002368 loss: 0.0335 (0.0362) loss_rec_all: 0.0696 (0.0722) loss_rec_sfr: 0.0718 (0.1058) loss_cl: -0.3670 (-0.3669) time: 0.8656 data: 0.0002 max mem: 29859 [23:02:01.099403] Epoch: [96] [140/850] eta: 0:10:30 lr: 0.002368 loss: 0.0353 (0.0363) loss_rec_all: 0.0712 (0.0722) loss_rec_sfr: 0.1106 (0.1074) loss_cl: -0.3668 (-0.3669) time: 0.8608 data: 0.0002 max mem: 29859 [23:02:18.341942] Epoch: [96] [160/850] eta: 0:10:10 lr: 0.002368 loss: 0.0352 (0.0362) loss_rec_all: 0.0714 (0.0722) loss_rec_sfr: 0.0874 (0.1067) loss_cl: -0.3672 (-0.3670) time: 0.8621 data: 0.0002 max mem: 29859 [23:02:35.612096] Epoch: [96] [180/850] eta: 0:09:50 lr: 0.002368 loss: 0.0341 (0.0360) loss_rec_all: 0.0703 (0.0720) loss_rec_sfr: 0.0760 (0.1059) loss_cl: -0.3678 (-0.3670) time: 0.8634 data: 0.0003 max mem: 29859 [23:02:52.873242] Epoch: [96] [200/850] eta: 0:09:32 lr: 0.002368 loss: 0.0334 (0.0360) loss_rec_all: 0.0696 (0.0720) loss_rec_sfr: 0.1097 (0.1060) loss_cl: -0.3681 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [23:03:10.080514] Epoch: [96] [220/850] eta: 0:09:13 lr: 0.002368 loss: 0.0339 (0.0360) loss_rec_all: 0.0702 (0.0720) loss_rec_sfr: 0.0906 (0.1053) loss_cl: -0.3681 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [23:03:27.407892] Epoch: [96] [240/850] eta: 0:08:55 lr: 0.002368 loss: 0.0346 (0.0360) loss_rec_all: 0.0705 (0.0720) loss_rec_sfr: 0.0824 (0.1048) loss_cl: -0.3678 (-0.3673) time: 0.8663 data: 0.0002 max mem: 29859 [23:03:44.672210] Epoch: [96] [260/850] eta: 0:08:36 lr: 0.002368 loss: 0.0340 (0.0359) loss_rec_all: 0.0699 (0.0719) loss_rec_sfr: 0.1144 (0.1054) loss_cl: -0.3669 (-0.3672) time: 0.8632 data: 0.0002 max mem: 29859 [23:04:01.922103] Epoch: [96] [280/850] eta: 0:08:18 lr: 0.002368 loss: 0.0333 (0.0358) loss_rec_all: 0.0691 (0.0718) loss_rec_sfr: 0.0872 (0.1052) loss_cl: -0.3662 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [23:04:19.163739] Epoch: [96] [300/850] eta: 0:08:00 lr: 0.002368 loss: 0.0343 (0.0358) loss_rec_all: 0.0700 (0.0718) loss_rec_sfr: 0.1050 (0.1052) loss_cl: -0.3663 (-0.3671) time: 0.8620 data: 0.0002 max mem: 29859 [23:04:36.485905] Epoch: [96] [320/850] eta: 0:07:43 lr: 0.002368 loss: 0.0332 (0.0358) loss_rec_all: 0.0689 (0.0718) loss_rec_sfr: 0.1090 (0.1053) loss_cl: -0.3664 (-0.3671) time: 0.8660 data: 0.0002 max mem: 29859 [23:04:53.704366] Epoch: [96] [340/850] eta: 0:07:25 lr: 0.002368 loss: 0.0354 (0.0358) loss_rec_all: 0.0712 (0.0718) loss_rec_sfr: 0.0889 (0.1049) loss_cl: -0.3669 (-0.3671) time: 0.8608 data: 0.0002 max mem: 29859 [23:05:10.993070] Epoch: [96] [360/850] eta: 0:07:07 lr: 0.002368 loss: 0.0354 (0.0358) loss_rec_all: 0.0711 (0.0718) loss_rec_sfr: 0.1168 (0.1056) loss_cl: -0.3677 (-0.3671) time: 0.8644 data: 0.0003 max mem: 29859 [23:05:28.256585] Epoch: [96] [380/850] eta: 0:06:49 lr: 0.002367 loss: 0.0348 (0.0358) loss_rec_all: 0.0709 (0.0718) loss_rec_sfr: 0.0870 (0.1058) loss_cl: -0.3682 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [23:05:45.508368] Epoch: [96] [400/850] eta: 0:06:32 lr: 0.002367 loss: 0.0355 (0.0359) loss_rec_all: 0.0712 (0.0718) loss_rec_sfr: 0.1173 (0.1064) loss_cl: -0.3681 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [23:06:02.749998] Epoch: [96] [420/850] eta: 0:06:14 lr: 0.002367 loss: 0.0344 (0.0359) loss_rec_all: 0.0703 (0.0718) loss_rec_sfr: 0.1095 (0.1066) loss_cl: -0.3679 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [23:06:20.062649] Epoch: [96] [440/850] eta: 0:05:57 lr: 0.002367 loss: 0.0346 (0.0359) loss_rec_all: 0.0707 (0.0718) loss_rec_sfr: 0.0885 (0.1062) loss_cl: -0.3674 (-0.3672) time: 0.8656 data: 0.0003 max mem: 29859 [23:06:37.277176] Epoch: [96] [460/850] eta: 0:05:39 lr: 0.002367 loss: 0.0380 (0.0360) loss_rec_all: 0.0737 (0.0720) loss_rec_sfr: 0.0858 (0.1063) loss_cl: -0.3668 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [23:06:54.547105] Epoch: [96] [480/850] eta: 0:05:21 lr: 0.002367 loss: 0.0373 (0.0361) loss_rec_all: 0.0732 (0.0720) loss_rec_sfr: 0.1078 (0.1065) loss_cl: -0.3666 (-0.3672) time: 0.8634 data: 0.0002 max mem: 29859 [23:07:11.851183] Epoch: [96] [500/850] eta: 0:05:04 lr: 0.002367 loss: 0.0367 (0.0361) loss_rec_all: 0.0725 (0.0721) loss_rec_sfr: 0.0907 (0.1063) loss_cl: -0.3671 (-0.3672) time: 0.8652 data: 0.0002 max mem: 29859 [23:07:29.100543] Epoch: [96] [520/850] eta: 0:04:46 lr: 0.002367 loss: 0.0373 (0.0362) loss_rec_all: 0.0729 (0.0722) loss_rec_sfr: 0.1196 (0.1067) loss_cl: -0.3672 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [23:07:46.362215] Epoch: [96] [540/850] eta: 0:04:29 lr: 0.002367 loss: 0.0345 (0.0362) loss_rec_all: 0.0707 (0.0721) loss_rec_sfr: 0.0878 (0.1064) loss_cl: -0.3679 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [23:08:03.692745] Epoch: [96] [560/850] eta: 0:04:12 lr: 0.002367 loss: 0.0352 (0.0362) loss_rec_all: 0.0710 (0.0721) loss_rec_sfr: 0.0916 (0.1063) loss_cl: -0.3677 (-0.3672) time: 0.8665 data: 0.0002 max mem: 29859 [23:08:20.897554] Epoch: [96] [580/850] eta: 0:03:54 lr: 0.002367 loss: 0.0338 (0.0361) loss_rec_all: 0.0696 (0.0721) loss_rec_sfr: 0.0916 (0.1061) loss_cl: -0.3666 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [23:08:38.159850] Epoch: [96] [600/850] eta: 0:03:37 lr: 0.002367 loss: 0.0334 (0.0361) loss_rec_all: 0.0695 (0.0720) loss_rec_sfr: 0.0883 (0.1060) loss_cl: -0.3662 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [23:08:55.471712] Epoch: [96] [620/850] eta: 0:03:19 lr: 0.002367 loss: 0.0328 (0.0360) loss_rec_all: 0.0689 (0.0720) loss_rec_sfr: 0.0852 (0.1057) loss_cl: -0.3668 (-0.3671) time: 0.8655 data: 0.0002 max mem: 29859 [23:09:12.723918] Epoch: [96] [640/850] eta: 0:03:02 lr: 0.002367 loss: 0.0341 (0.0360) loss_rec_all: 0.0702 (0.0719) loss_rec_sfr: 0.0810 (0.1053) loss_cl: -0.3672 (-0.3671) time: 0.8626 data: 0.0002 max mem: 29859 [23:09:29.939256] Epoch: [96] [660/850] eta: 0:02:44 lr: 0.002367 loss: 0.0351 (0.0360) loss_rec_all: 0.0713 (0.0719) loss_rec_sfr: 0.0839 (0.1051) loss_cl: -0.3677 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [23:09:47.303320] Epoch: [96] [680/850] eta: 0:02:27 lr: 0.002367 loss: 0.0381 (0.0361) loss_rec_all: 0.0739 (0.0720) loss_rec_sfr: 0.1194 (0.1057) loss_cl: -0.3681 (-0.3672) time: 0.8681 data: 0.0003 max mem: 29859 [23:10:04.519755] Epoch: [96] [700/850] eta: 0:02:10 lr: 0.002367 loss: 0.0352 (0.0361) loss_rec_all: 0.0711 (0.0720) loss_rec_sfr: 0.1142 (0.1058) loss_cl: -0.3673 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [23:10:21.750858] Epoch: [96] [720/850] eta: 0:01:52 lr: 0.002367 loss: 0.0348 (0.0361) loss_rec_all: 0.0709 (0.0720) loss_rec_sfr: 0.1148 (0.1060) loss_cl: -0.3669 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [23:10:39.045853] Epoch: [96] [740/850] eta: 0:01:35 lr: 0.002367 loss: 0.0359 (0.0361) loss_rec_all: 0.0715 (0.0721) loss_rec_sfr: 0.1099 (0.1062) loss_cl: -0.3669 (-0.3672) time: 0.8647 data: 0.0002 max mem: 29859 [23:10:56.338729] Epoch: [96] [760/850] eta: 0:01:18 lr: 0.002367 loss: 0.0365 (0.0361) loss_rec_all: 0.0721 (0.0721) loss_rec_sfr: 0.1296 (0.1066) loss_cl: -0.3669 (-0.3672) time: 0.8646 data: 0.0002 max mem: 29859 [23:11:13.584166] Epoch: [96] [780/850] eta: 0:01:00 lr: 0.002367 loss: 0.0335 (0.0361) loss_rec_all: 0.0693 (0.0720) loss_rec_sfr: 0.0799 (0.1064) loss_cl: -0.3671 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [23:11:30.903192] Epoch: [96] [800/850] eta: 0:00:43 lr: 0.002367 loss: 0.0348 (0.0361) loss_rec_all: 0.0707 (0.0720) loss_rec_sfr: 0.0945 (0.1064) loss_cl: -0.3675 (-0.3672) time: 0.8659 data: 0.0002 max mem: 29859 [23:11:48.121891] Epoch: [96] [820/850] eta: 0:00:26 lr: 0.002367 loss: 0.0346 (0.0361) loss_rec_all: 0.0708 (0.0720) loss_rec_sfr: 0.0739 (0.1062) loss_cl: -0.3670 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [23:12:05.366688] Epoch: [96] [840/850] eta: 0:00:08 lr: 0.002367 loss: 0.0361 (0.0361) loss_rec_all: 0.0722 (0.0721) loss_rec_sfr: 0.1143 (0.1064) loss_cl: -0.3668 (-0.3672) time: 0.8622 data: 0.0004 max mem: 29859 [23:12:13.127517] Epoch: [96] [849/850] eta: 0:00:00 lr: 0.002367 loss: 0.0349 (0.0361) loss_rec_all: 0.0709 (0.0721) loss_rec_sfr: 0.0890 (0.1064) loss_cl: -0.3666 (-0.3671) time: 0.8630 data: 0.0004 max mem: 29859 [23:12:13.275999] Epoch: [96] Total time: 0:12:17 (0.8674 s / it) [23:12:13.282072] Averaged stats: lr: 0.002367 loss: 0.0349 (0.0360) loss_rec_all: 0.0709 (0.0720) loss_rec_sfr: 0.0890 (0.1058) loss_cl: -0.3666 (-0.3672) [23:12:13.300163] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [23:12:17.966039] Epoch: [97] [ 0/850] eta: 1:06:05 lr: 0.002367 loss: 0.0375 (0.0375) loss_rec_all: 0.0733 (0.0733) loss_rec_sfr: 0.1317 (0.1317) loss_cl: -0.3670 (-0.3670) time: 4.6649 data: 3.8071 max mem: 29859 [23:12:35.165072] Epoch: [97] [ 20/850] eta: 0:14:24 lr: 0.002367 loss: 0.0343 (0.0356) loss_rec_all: 0.0700 (0.0716) loss_rec_sfr: 0.1008 (0.1091) loss_cl: -0.3670 (-0.3671) time: 0.8599 data: 0.0002 max mem: 29859 [23:12:52.483748] Epoch: [97] [ 40/850] eta: 0:12:54 lr: 0.002367 loss: 0.0338 (0.0348) loss_rec_all: 0.0695 (0.0708) loss_rec_sfr: 0.0840 (0.1059) loss_cl: -0.3678 (-0.3675) time: 0.8659 data: 0.0003 max mem: 29859 [23:13:09.764001] Epoch: [97] [ 60/850] eta: 0:12:11 lr: 0.002367 loss: 0.0327 (0.0343) loss_rec_all: 0.0688 (0.0703) loss_rec_sfr: 0.0773 (0.1033) loss_cl: -0.3675 (-0.3675) time: 0.8639 data: 0.0003 max mem: 29859 [23:13:27.039861] Epoch: [97] [ 80/850] eta: 0:11:40 lr: 0.002367 loss: 0.0353 (0.0358) loss_rec_all: 0.0712 (0.0718) loss_rec_sfr: 0.1164 (0.1065) loss_cl: -0.3668 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [23:13:44.262212] Epoch: [97] [100/850] eta: 0:11:15 lr: 0.002367 loss: 0.0365 (0.0364) loss_rec_all: 0.0725 (0.0723) loss_rec_sfr: 0.1254 (0.1075) loss_cl: -0.3674 (-0.3674) time: 0.8611 data: 0.0002 max mem: 29859 [23:14:01.545161] Epoch: [97] [120/850] eta: 0:10:52 lr: 0.002367 loss: 0.0409 (0.0372) loss_rec_all: 0.0770 (0.0732) loss_rec_sfr: 0.0962 (0.1088) loss_cl: -0.3674 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [23:14:18.796946] Epoch: [97] [140/850] eta: 0:10:31 lr: 0.002367 loss: 0.0405 (0.0378) loss_rec_all: 0.0767 (0.0737) loss_rec_sfr: 0.1149 (0.1099) loss_cl: -0.3680 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [23:14:36.053550] Epoch: [97] [160/850] eta: 0:10:11 lr: 0.002367 loss: 0.0398 (0.0381) loss_rec_all: 0.0756 (0.0741) loss_rec_sfr: 0.0919 (0.1099) loss_cl: -0.3677 (-0.3675) time: 0.8628 data: 0.0002 max mem: 29859 [23:14:53.380794] Epoch: [97] [180/850] eta: 0:09:52 lr: 0.002367 loss: 0.0365 (0.0379) loss_rec_all: 0.0725 (0.0739) loss_rec_sfr: 0.1144 (0.1095) loss_cl: -0.3678 (-0.3675) time: 0.8662 data: 0.0004 max mem: 29859 [23:15:10.733057] Epoch: [97] [200/850] eta: 0:09:33 lr: 0.002367 loss: 0.0347 (0.0378) loss_rec_all: 0.0709 (0.0737) loss_rec_sfr: 0.0937 (0.1089) loss_cl: -0.3675 (-0.3675) time: 0.8676 data: 0.0002 max mem: 29859 [23:15:27.936965] Epoch: [97] [220/850] eta: 0:09:14 lr: 0.002367 loss: 0.0344 (0.0376) loss_rec_all: 0.0705 (0.0736) loss_rec_sfr: 0.0887 (0.1075) loss_cl: -0.3671 (-0.3674) time: 0.8602 data: 0.0002 max mem: 29859 [23:15:45.227663] Epoch: [97] [240/850] eta: 0:08:56 lr: 0.002367 loss: 0.0350 (0.0374) loss_rec_all: 0.0711 (0.0734) loss_rec_sfr: 0.0830 (0.1066) loss_cl: -0.3680 (-0.3675) time: 0.8645 data: 0.0002 max mem: 29859 [23:16:02.584946] Epoch: [97] [260/850] eta: 0:08:38 lr: 0.002366 loss: 0.0361 (0.0374) loss_rec_all: 0.0717 (0.0734) loss_rec_sfr: 0.1099 (0.1067) loss_cl: -0.3675 (-0.3675) time: 0.8678 data: 0.0003 max mem: 29859 [23:16:19.872359] Epoch: [97] [280/850] eta: 0:08:20 lr: 0.002366 loss: 0.0361 (0.0374) loss_rec_all: 0.0720 (0.0734) loss_rec_sfr: 0.1054 (0.1068) loss_cl: -0.3670 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [23:16:37.114410] Epoch: [97] [300/850] eta: 0:08:02 lr: 0.002366 loss: 0.0347 (0.0373) loss_rec_all: 0.0709 (0.0733) loss_rec_sfr: 0.0883 (0.1067) loss_cl: -0.3668 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [23:16:54.454520] Epoch: [97] [320/850] eta: 0:07:44 lr: 0.002366 loss: 0.0334 (0.0371) loss_rec_all: 0.0696 (0.0731) loss_rec_sfr: 0.0807 (0.1060) loss_cl: -0.3665 (-0.3673) time: 0.8670 data: 0.0003 max mem: 29859 [23:17:11.668695] Epoch: [97] [340/850] eta: 0:07:26 lr: 0.002366 loss: 0.0330 (0.0370) loss_rec_all: 0.0692 (0.0730) loss_rec_sfr: 0.0796 (0.1051) loss_cl: -0.3671 (-0.3673) time: 0.8607 data: 0.0002 max mem: 29859 [23:17:28.939864] Epoch: [97] [360/850] eta: 0:07:08 lr: 0.002366 loss: 0.0336 (0.0368) loss_rec_all: 0.0696 (0.0728) loss_rec_sfr: 0.1009 (0.1051) loss_cl: -0.3670 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [23:17:46.221601] Epoch: [97] [380/850] eta: 0:06:50 lr: 0.002366 loss: 0.0332 (0.0367) loss_rec_all: 0.0694 (0.0727) loss_rec_sfr: 0.1072 (0.1051) loss_cl: -0.3665 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [23:18:03.458580] Epoch: [97] [400/850] eta: 0:06:32 lr: 0.002366 loss: 0.0343 (0.0367) loss_rec_all: 0.0705 (0.0727) loss_rec_sfr: 0.1037 (0.1049) loss_cl: -0.3672 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [23:18:20.684005] Epoch: [97] [420/850] eta: 0:06:15 lr: 0.002366 loss: 0.0332 (0.0366) loss_rec_all: 0.0694 (0.0726) loss_rec_sfr: 0.0840 (0.1047) loss_cl: -0.3675 (-0.3673) time: 0.8612 data: 0.0003 max mem: 29859 [23:18:38.142236] Epoch: [97] [440/850] eta: 0:05:57 lr: 0.002366 loss: 0.0335 (0.0365) loss_rec_all: 0.0695 (0.0725) loss_rec_sfr: 0.1202 (0.1052) loss_cl: -0.3674 (-0.3673) time: 0.8729 data: 0.0003 max mem: 29859 [23:18:55.342005] Epoch: [97] [460/850] eta: 0:05:40 lr: 0.002366 loss: 0.0338 (0.0365) loss_rec_all: 0.0695 (0.0725) loss_rec_sfr: 0.1246 (0.1057) loss_cl: -0.3672 (-0.3673) time: 0.8599 data: 0.0002 max mem: 29859 [23:19:12.596122] Epoch: [97] [480/850] eta: 0:05:22 lr: 0.002366 loss: 0.0337 (0.0364) loss_rec_all: 0.0698 (0.0724) loss_rec_sfr: 0.0830 (0.1052) loss_cl: -0.3672 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [23:19:29.927350] Epoch: [97] [500/850] eta: 0:05:05 lr: 0.002366 loss: 0.0338 (0.0364) loss_rec_all: 0.0698 (0.0724) loss_rec_sfr: 0.1014 (0.1053) loss_cl: -0.3673 (-0.3673) time: 0.8665 data: 0.0002 max mem: 29859 [23:19:47.244041] Epoch: [97] [520/850] eta: 0:04:47 lr: 0.002366 loss: 0.0353 (0.0364) loss_rec_all: 0.0712 (0.0723) loss_rec_sfr: 0.1172 (0.1059) loss_cl: -0.3672 (-0.3673) time: 0.8658 data: 0.0003 max mem: 29859 [23:20:04.451431] Epoch: [97] [540/850] eta: 0:04:29 lr: 0.002366 loss: 0.0332 (0.0363) loss_rec_all: 0.0695 (0.0723) loss_rec_sfr: 0.0911 (0.1055) loss_cl: -0.3673 (-0.3673) time: 0.8603 data: 0.0002 max mem: 29859 [23:20:21.840655] Epoch: [97] [560/850] eta: 0:04:12 lr: 0.002366 loss: 0.0352 (0.0363) loss_rec_all: 0.0708 (0.0723) loss_rec_sfr: 0.0840 (0.1052) loss_cl: -0.3676 (-0.3673) time: 0.8694 data: 0.0003 max mem: 29859 [23:20:39.057399] Epoch: [97] [580/850] eta: 0:03:55 lr: 0.002366 loss: 0.0364 (0.0363) loss_rec_all: 0.0727 (0.0723) loss_rec_sfr: 0.1065 (0.1053) loss_cl: -0.3677 (-0.3673) time: 0.8608 data: 0.0002 max mem: 29859 [23:20:56.354846] Epoch: [97] [600/850] eta: 0:03:37 lr: 0.002366 loss: 0.0355 (0.0363) loss_rec_all: 0.0713 (0.0723) loss_rec_sfr: 0.1243 (0.1058) loss_cl: -0.3673 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [23:21:13.638197] Epoch: [97] [620/850] eta: 0:03:20 lr: 0.002366 loss: 0.0341 (0.0363) loss_rec_all: 0.0701 (0.0723) loss_rec_sfr: 0.0823 (0.1055) loss_cl: -0.3668 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [23:21:30.907845] Epoch: [97] [640/850] eta: 0:03:02 lr: 0.002366 loss: 0.0360 (0.0363) loss_rec_all: 0.0716 (0.0723) loss_rec_sfr: 0.0839 (0.1055) loss_cl: -0.3671 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [23:21:48.106481] Epoch: [97] [660/850] eta: 0:02:45 lr: 0.002366 loss: 0.0369 (0.0364) loss_rec_all: 0.0726 (0.0723) loss_rec_sfr: 0.0955 (0.1055) loss_cl: -0.3672 (-0.3673) time: 0.8599 data: 0.0002 max mem: 29859 [23:22:05.412098] Epoch: [97] [680/850] eta: 0:02:27 lr: 0.002366 loss: 0.0349 (0.0363) loss_rec_all: 0.0712 (0.0723) loss_rec_sfr: 0.0751 (0.1053) loss_cl: -0.3673 (-0.3672) time: 0.8652 data: 0.0002 max mem: 29859 [23:22:22.649560] Epoch: [97] [700/850] eta: 0:02:10 lr: 0.002366 loss: 0.0368 (0.0364) loss_rec_all: 0.0728 (0.0723) loss_rec_sfr: 0.1047 (0.1053) loss_cl: -0.3672 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [23:22:39.896944] Epoch: [97] [720/850] eta: 0:01:52 lr: 0.002366 loss: 0.0356 (0.0363) loss_rec_all: 0.0716 (0.0723) loss_rec_sfr: 0.1141 (0.1056) loss_cl: -0.3668 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [23:22:57.202083] Epoch: [97] [740/850] eta: 0:01:35 lr: 0.002366 loss: 0.0351 (0.0363) loss_rec_all: 0.0712 (0.0723) loss_rec_sfr: 0.0871 (0.1054) loss_cl: -0.3670 (-0.3672) time: 0.8652 data: 0.0003 max mem: 29859 [23:23:14.555796] Epoch: [97] [760/850] eta: 0:01:18 lr: 0.002366 loss: 0.0353 (0.0363) loss_rec_all: 0.0710 (0.0723) loss_rec_sfr: 0.1158 (0.1057) loss_cl: -0.3671 (-0.3672) time: 0.8676 data: 0.0002 max mem: 29859 [23:23:31.791032] Epoch: [97] [780/850] eta: 0:01:00 lr: 0.002366 loss: 0.0344 (0.0363) loss_rec_all: 0.0705 (0.0722) loss_rec_sfr: 0.0851 (0.1054) loss_cl: -0.3672 (-0.3672) time: 0.8617 data: 0.0003 max mem: 29859 [23:23:49.080192] Epoch: [97] [800/850] eta: 0:00:43 lr: 0.002366 loss: 0.0358 (0.0363) loss_rec_all: 0.0716 (0.0722) loss_rec_sfr: 0.1080 (0.1054) loss_cl: -0.3677 (-0.3672) time: 0.8644 data: 0.0002 max mem: 29859 [23:24:06.319491] Epoch: [97] [820/850] eta: 0:00:26 lr: 0.002366 loss: 0.0336 (0.0362) loss_rec_all: 0.0694 (0.0722) loss_rec_sfr: 0.0812 (0.1052) loss_cl: -0.3674 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [23:24:23.579906] Epoch: [97] [840/850] eta: 0:00:08 lr: 0.002366 loss: 0.0333 (0.0362) loss_rec_all: 0.0693 (0.0722) loss_rec_sfr: 0.1005 (0.1052) loss_cl: -0.3672 (-0.3672) time: 0.8630 data: 0.0003 max mem: 29859 [23:24:31.377357] Epoch: [97] [849/850] eta: 0:00:00 lr: 0.002366 loss: 0.0332 (0.0361) loss_rec_all: 0.0693 (0.0721) loss_rec_sfr: 0.1146 (0.1052) loss_cl: -0.3672 (-0.3672) time: 0.8655 data: 0.0004 max mem: 29859 [23:24:31.533602] Epoch: [97] Total time: 0:12:18 (0.8685 s / it) [23:24:31.544166] Averaged stats: lr: 0.002366 loss: 0.0332 (0.0362) loss_rec_all: 0.0693 (0.0722) loss_rec_sfr: 0.1146 (0.1051) loss_cl: -0.3672 (-0.3672) [23:24:31.563127] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [23:24:36.585022] Epoch: [98] [ 0/850] eta: 1:11:07 lr: 0.002366 loss: 0.0380 (0.0380) loss_rec_all: 0.0739 (0.0739) loss_rec_sfr: 0.1072 (0.1072) loss_cl: -0.3672 (-0.3672) time: 5.0201 data: 3.6629 max mem: 29859 [23:24:53.804363] Epoch: [98] [ 20/850] eta: 0:14:38 lr: 0.002366 loss: 0.0342 (0.0359) loss_rec_all: 0.0702 (0.0719) loss_rec_sfr: 0.1102 (0.1078) loss_cl: -0.3670 (-0.3669) time: 0.8609 data: 0.0002 max mem: 29859 [23:25:11.047914] Epoch: [98] [ 40/850] eta: 0:12:59 lr: 0.002366 loss: 0.0343 (0.0361) loss_rec_all: 0.0700 (0.0720) loss_rec_sfr: 0.1157 (0.1117) loss_cl: -0.3669 (-0.3669) time: 0.8621 data: 0.0002 max mem: 29859 [23:25:28.246101] Epoch: [98] [ 60/850] eta: 0:12:14 lr: 0.002366 loss: 0.0322 (0.0349) loss_rec_all: 0.0684 (0.0709) loss_rec_sfr: 0.0761 (0.1048) loss_cl: -0.3672 (-0.3670) time: 0.8599 data: 0.0002 max mem: 29859 [23:25:45.596316] Epoch: [98] [ 80/850] eta: 0:11:43 lr: 0.002366 loss: 0.0353 (0.0351) loss_rec_all: 0.0711 (0.0710) loss_rec_sfr: 0.1117 (0.1067) loss_cl: -0.3676 (-0.3672) time: 0.8675 data: 0.0003 max mem: 29859 [23:26:02.802087] Epoch: [98] [100/850] eta: 0:11:17 lr: 0.002366 loss: 0.0354 (0.0352) loss_rec_all: 0.0715 (0.0712) loss_rec_sfr: 0.1241 (0.1083) loss_cl: -0.3674 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [23:26:20.061269] Epoch: [98] [120/850] eta: 0:10:54 lr: 0.002366 loss: 0.0342 (0.0352) loss_rec_all: 0.0703 (0.0712) loss_rec_sfr: 0.0876 (0.1066) loss_cl: -0.3676 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [23:26:37.340814] Epoch: [98] [140/850] eta: 0:10:33 lr: 0.002365 loss: 0.0341 (0.0353) loss_rec_all: 0.0700 (0.0713) loss_rec_sfr: 0.1127 (0.1073) loss_cl: -0.3671 (-0.3673) time: 0.8639 data: 0.0003 max mem: 29859 [23:26:54.594913] Epoch: [98] [160/850] eta: 0:10:12 lr: 0.002365 loss: 0.0350 (0.0354) loss_rec_all: 0.0711 (0.0714) loss_rec_sfr: 0.0833 (0.1065) loss_cl: -0.3671 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [23:27:11.867997] Epoch: [98] [180/850] eta: 0:09:53 lr: 0.002365 loss: 0.0375 (0.0357) loss_rec_all: 0.0730 (0.0717) loss_rec_sfr: 0.1177 (0.1078) loss_cl: -0.3664 (-0.3671) time: 0.8636 data: 0.0003 max mem: 29859 [23:27:29.223339] Epoch: [98] [200/850] eta: 0:09:34 lr: 0.002365 loss: 0.0358 (0.0358) loss_rec_all: 0.0716 (0.0717) loss_rec_sfr: 0.1225 (0.1089) loss_cl: -0.3667 (-0.3671) time: 0.8677 data: 0.0003 max mem: 29859 [23:27:46.436100] Epoch: [98] [220/850] eta: 0:09:15 lr: 0.002365 loss: 0.0333 (0.0357) loss_rec_all: 0.0695 (0.0716) loss_rec_sfr: 0.0718 (0.1071) loss_cl: -0.3673 (-0.3671) time: 0.8606 data: 0.0002 max mem: 29859 [23:28:03.705496] Epoch: [98] [240/850] eta: 0:08:56 lr: 0.002365 loss: 0.0334 (0.0356) loss_rec_all: 0.0697 (0.0715) loss_rec_sfr: 0.1123 (0.1074) loss_cl: -0.3680 (-0.3672) time: 0.8634 data: 0.0002 max mem: 29859 [23:28:20.995149] Epoch: [98] [260/850] eta: 0:08:38 lr: 0.002365 loss: 0.0341 (0.0355) loss_rec_all: 0.0699 (0.0715) loss_rec_sfr: 0.0908 (0.1071) loss_cl: -0.3680 (-0.3672) time: 0.8644 data: 0.0003 max mem: 29859 [23:28:38.252252] Epoch: [98] [280/850] eta: 0:08:20 lr: 0.002365 loss: 0.0343 (0.0355) loss_rec_all: 0.0699 (0.0715) loss_rec_sfr: 0.1077 (0.1072) loss_cl: -0.3673 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [23:28:55.472671] Epoch: [98] [300/850] eta: 0:08:02 lr: 0.002365 loss: 0.0353 (0.0356) loss_rec_all: 0.0710 (0.0716) loss_rec_sfr: 0.1136 (0.1080) loss_cl: -0.3672 (-0.3672) time: 0.8610 data: 0.0002 max mem: 29859 [23:29:12.835097] Epoch: [98] [320/850] eta: 0:07:44 lr: 0.002365 loss: 0.0351 (0.0358) loss_rec_all: 0.0713 (0.0717) loss_rec_sfr: 0.0828 (0.1075) loss_cl: -0.3667 (-0.3672) time: 0.8681 data: 0.0003 max mem: 29859 [23:29:30.086520] Epoch: [98] [340/850] eta: 0:07:26 lr: 0.002365 loss: 0.0363 (0.0359) loss_rec_all: 0.0721 (0.0718) loss_rec_sfr: 0.0826 (0.1073) loss_cl: -0.3668 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [23:29:47.421771] Epoch: [98] [360/850] eta: 0:07:08 lr: 0.002365 loss: 0.0360 (0.0360) loss_rec_all: 0.0718 (0.0720) loss_rec_sfr: 0.1096 (0.1072) loss_cl: -0.3668 (-0.3672) time: 0.8667 data: 0.0003 max mem: 29859 [23:30:04.752083] Epoch: [98] [380/850] eta: 0:06:50 lr: 0.002365 loss: 0.0369 (0.0361) loss_rec_all: 0.0727 (0.0720) loss_rec_sfr: 0.1163 (0.1076) loss_cl: -0.3671 (-0.3672) time: 0.8665 data: 0.0004 max mem: 29859 [23:30:22.007239] Epoch: [98] [400/850] eta: 0:06:33 lr: 0.002365 loss: 0.0355 (0.0360) loss_rec_all: 0.0714 (0.0720) loss_rec_sfr: 0.1151 (0.1078) loss_cl: -0.3676 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [23:30:39.214903] Epoch: [98] [420/850] eta: 0:06:15 lr: 0.002365 loss: 0.0356 (0.0361) loss_rec_all: 0.0715 (0.0720) loss_rec_sfr: 0.1123 (0.1082) loss_cl: -0.3679 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [23:30:56.519622] Epoch: [98] [440/850] eta: 0:05:57 lr: 0.002365 loss: 0.0334 (0.0360) loss_rec_all: 0.0697 (0.0720) loss_rec_sfr: 0.0745 (0.1071) loss_cl: -0.3676 (-0.3672) time: 0.8652 data: 0.0002 max mem: 29859 [23:31:13.730755] Epoch: [98] [460/850] eta: 0:05:40 lr: 0.002365 loss: 0.0342 (0.0360) loss_rec_all: 0.0705 (0.0720) loss_rec_sfr: 0.0880 (0.1070) loss_cl: -0.3673 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [23:31:30.978542] Epoch: [98] [480/850] eta: 0:05:22 lr: 0.002365 loss: 0.0332 (0.0359) loss_rec_all: 0.0693 (0.0719) loss_rec_sfr: 0.0744 (0.1063) loss_cl: -0.3665 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [23:31:48.314617] Epoch: [98] [500/850] eta: 0:05:05 lr: 0.002365 loss: 0.0338 (0.0359) loss_rec_all: 0.0700 (0.0718) loss_rec_sfr: 0.0837 (0.1060) loss_cl: -0.3661 (-0.3672) time: 0.8667 data: 0.0002 max mem: 29859 [23:32:05.703902] Epoch: [98] [520/850] eta: 0:04:47 lr: 0.002365 loss: 0.0320 (0.0357) loss_rec_all: 0.0681 (0.0717) loss_rec_sfr: 0.0767 (0.1055) loss_cl: -0.3669 (-0.3672) time: 0.8694 data: 0.0003 max mem: 29859 [23:32:22.920503] Epoch: [98] [540/850] eta: 0:04:30 lr: 0.002365 loss: 0.0329 (0.0357) loss_rec_all: 0.0693 (0.0717) loss_rec_sfr: 0.0818 (0.1052) loss_cl: -0.3678 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [23:32:40.230547] Epoch: [98] [560/850] eta: 0:04:12 lr: 0.002365 loss: 0.0331 (0.0356) loss_rec_all: 0.0690 (0.0716) loss_rec_sfr: 0.0903 (0.1051) loss_cl: -0.3679 (-0.3672) time: 0.8654 data: 0.0003 max mem: 29859 [23:32:57.475277] Epoch: [98] [580/850] eta: 0:03:55 lr: 0.002365 loss: 0.0316 (0.0355) loss_rec_all: 0.0680 (0.0715) loss_rec_sfr: 0.0761 (0.1047) loss_cl: -0.3683 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [23:33:14.741512] Epoch: [98] [600/850] eta: 0:03:37 lr: 0.002365 loss: 0.0335 (0.0355) loss_rec_all: 0.0695 (0.0715) loss_rec_sfr: 0.1159 (0.1049) loss_cl: -0.3679 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [23:33:32.002071] Epoch: [98] [620/850] eta: 0:03:20 lr: 0.002365 loss: 0.0336 (0.0355) loss_rec_all: 0.0699 (0.0715) loss_rec_sfr: 0.0837 (0.1045) loss_cl: -0.3669 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [23:33:49.316222] Epoch: [98] [640/850] eta: 0:03:02 lr: 0.002365 loss: 0.0335 (0.0354) loss_rec_all: 0.0694 (0.0714) loss_rec_sfr: 0.0840 (0.1044) loss_cl: -0.3662 (-0.3672) time: 0.8657 data: 0.0002 max mem: 29859 [23:34:06.532277] Epoch: [98] [660/850] eta: 0:02:45 lr: 0.002365 loss: 0.0329 (0.0354) loss_rec_all: 0.0688 (0.0714) loss_rec_sfr: 0.0852 (0.1041) loss_cl: -0.3663 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [23:34:23.960304] Epoch: [98] [680/850] eta: 0:02:27 lr: 0.002365 loss: 0.0320 (0.0353) loss_rec_all: 0.0682 (0.0713) loss_rec_sfr: 0.0807 (0.1040) loss_cl: -0.3666 (-0.3672) time: 0.8713 data: 0.0004 max mem: 29859 [23:34:41.289876] Epoch: [98] [700/850] eta: 0:02:10 lr: 0.002365 loss: 0.0325 (0.0353) loss_rec_all: 0.0687 (0.0713) loss_rec_sfr: 0.0774 (0.1035) loss_cl: -0.3675 (-0.3672) time: 0.8664 data: 0.0002 max mem: 29859 [23:34:58.537891] Epoch: [98] [720/850] eta: 0:01:53 lr: 0.002365 loss: 0.0415 (0.0355) loss_rec_all: 0.0773 (0.0715) loss_rec_sfr: 0.1236 (0.1038) loss_cl: -0.3673 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [23:35:15.800618] Epoch: [98] [740/850] eta: 0:01:35 lr: 0.002365 loss: 0.0402 (0.0358) loss_rec_all: 0.0763 (0.0718) loss_rec_sfr: 0.0867 (0.1043) loss_cl: -0.3674 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [23:35:33.207140] Epoch: [98] [760/850] eta: 0:01:18 lr: 0.002365 loss: 0.0420 (0.0360) loss_rec_all: 0.0781 (0.0720) loss_rec_sfr: 0.0871 (0.1044) loss_cl: -0.3673 (-0.3672) time: 0.8703 data: 0.0003 max mem: 29859 [23:35:50.436854] Epoch: [98] [780/850] eta: 0:01:00 lr: 0.002365 loss: 0.0397 (0.0362) loss_rec_all: 0.0757 (0.0722) loss_rec_sfr: 0.0891 (0.1045) loss_cl: -0.3673 (-0.3672) time: 0.8614 data: 0.0002 max mem: 29859 [23:36:07.711711] Epoch: [98] [800/850] eta: 0:00:43 lr: 0.002365 loss: 0.0392 (0.0363) loss_rec_all: 0.0753 (0.0723) loss_rec_sfr: 0.0867 (0.1045) loss_cl: -0.3671 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [23:36:24.985792] Epoch: [98] [820/850] eta: 0:00:26 lr: 0.002365 loss: 0.0379 (0.0364) loss_rec_all: 0.0737 (0.0724) loss_rec_sfr: 0.1223 (0.1046) loss_cl: -0.3671 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [23:36:42.334950] Epoch: [98] [840/850] eta: 0:00:08 lr: 0.002365 loss: 0.0376 (0.0364) loss_rec_all: 0.0734 (0.0724) loss_rec_sfr: 0.1164 (0.1047) loss_cl: -0.3671 (-0.3672) time: 0.8674 data: 0.0005 max mem: 29859 [23:36:50.111312] Epoch: [98] [849/850] eta: 0:00:00 lr: 0.002364 loss: 0.0371 (0.0364) loss_rec_all: 0.0732 (0.0724) loss_rec_sfr: 0.1175 (0.1048) loss_cl: -0.3672 (-0.3672) time: 0.8685 data: 0.0005 max mem: 29859 [23:36:50.275359] Epoch: [98] Total time: 0:12:18 (0.8691 s / it) [23:36:50.297310] Averaged stats: lr: 0.002364 loss: 0.0371 (0.0363) loss_rec_all: 0.0732 (0.0723) loss_rec_sfr: 0.1175 (0.1041) loss_cl: -0.3672 (-0.3672) [23:36:50.305532] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [23:36:54.837295] Epoch: [99] [ 0/850] eta: 1:04:11 lr: 0.002364 loss: 0.0369 (0.0369) loss_rec_all: 0.0728 (0.0728) loss_rec_sfr: 0.1301 (0.1301) loss_cl: -0.3675 (-0.3675) time: 4.5310 data: 3.6754 max mem: 29859 [23:37:12.058866] Epoch: [99] [ 20/850] eta: 0:14:19 lr: 0.002364 loss: 0.0343 (0.0358) loss_rec_all: 0.0705 (0.0719) loss_rec_sfr: 0.0811 (0.0974) loss_cl: -0.3675 (-0.3674) time: 0.8610 data: 0.0002 max mem: 29859 [23:37:29.316404] Epoch: [99] [ 40/850] eta: 0:12:50 lr: 0.002364 loss: 0.0346 (0.0353) loss_rec_all: 0.0706 (0.0713) loss_rec_sfr: 0.1081 (0.1004) loss_cl: -0.3670 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [23:37:46.515241] Epoch: [99] [ 60/850] eta: 0:12:07 lr: 0.002364 loss: 0.0331 (0.0349) loss_rec_all: 0.0693 (0.0709) loss_rec_sfr: 0.1103 (0.1024) loss_cl: -0.3669 (-0.3671) time: 0.8599 data: 0.0002 max mem: 29859 [23:38:03.822995] Epoch: [99] [ 80/850] eta: 0:11:38 lr: 0.002364 loss: 0.0333 (0.0349) loss_rec_all: 0.0694 (0.0709) loss_rec_sfr: 0.1059 (0.1031) loss_cl: -0.3667 (-0.3670) time: 0.8653 data: 0.0002 max mem: 29859 [23:38:21.052543] Epoch: [99] [100/850] eta: 0:11:13 lr: 0.002364 loss: 0.0323 (0.0346) loss_rec_all: 0.0681 (0.0705) loss_rec_sfr: 0.0776 (0.1024) loss_cl: -0.3669 (-0.3670) time: 0.8614 data: 0.0002 max mem: 29859 [23:38:38.304188] Epoch: [99] [120/850] eta: 0:10:51 lr: 0.002364 loss: 0.0356 (0.0347) loss_rec_all: 0.0713 (0.0707) loss_rec_sfr: 0.1045 (0.1023) loss_cl: -0.3678 (-0.3671) time: 0.8625 data: 0.0002 max mem: 29859 [23:38:55.576985] Epoch: [99] [140/850] eta: 0:10:30 lr: 0.002364 loss: 0.0323 (0.0345) loss_rec_all: 0.0684 (0.0706) loss_rec_sfr: 0.0835 (0.1020) loss_cl: -0.3682 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [23:39:12.885413] Epoch: [99] [160/850] eta: 0:10:11 lr: 0.002364 loss: 0.0336 (0.0346) loss_rec_all: 0.0693 (0.0706) loss_rec_sfr: 0.1088 (0.1029) loss_cl: -0.3679 (-0.3673) time: 0.8654 data: 0.0002 max mem: 29859 [23:39:30.094824] Epoch: [99] [180/850] eta: 0:09:51 lr: 0.002364 loss: 0.0329 (0.0345) loss_rec_all: 0.0693 (0.0706) loss_rec_sfr: 0.0692 (0.1011) loss_cl: -0.3676 (-0.3673) time: 0.8604 data: 0.0002 max mem: 29859 [23:39:47.447634] Epoch: [99] [200/850] eta: 0:09:32 lr: 0.002364 loss: 0.0358 (0.0348) loss_rec_all: 0.0719 (0.0708) loss_rec_sfr: 0.1090 (0.1039) loss_cl: -0.3676 (-0.3674) time: 0.8676 data: 0.0003 max mem: 29859 [23:40:04.696268] Epoch: [99] [220/850] eta: 0:09:14 lr: 0.002364 loss: 0.0341 (0.0349) loss_rec_all: 0.0702 (0.0709) loss_rec_sfr: 0.1077 (0.1045) loss_cl: -0.3672 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [23:40:21.974804] Epoch: [99] [240/850] eta: 0:08:55 lr: 0.002364 loss: 0.0346 (0.0350) loss_rec_all: 0.0705 (0.0710) loss_rec_sfr: 0.0836 (0.1040) loss_cl: -0.3667 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [23:40:39.333627] Epoch: [99] [260/850] eta: 0:08:37 lr: 0.002364 loss: 0.0355 (0.0351) loss_rec_all: 0.0716 (0.0711) loss_rec_sfr: 0.0871 (0.1045) loss_cl: -0.3665 (-0.3672) time: 0.8678 data: 0.0003 max mem: 29859 [23:40:56.609923] Epoch: [99] [280/850] eta: 0:08:19 lr: 0.002364 loss: 0.0360 (0.0353) loss_rec_all: 0.0719 (0.0712) loss_rec_sfr: 0.0829 (0.1046) loss_cl: -0.3672 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [23:41:13.820842] Epoch: [99] [300/850] eta: 0:08:01 lr: 0.002364 loss: 0.0343 (0.0352) loss_rec_all: 0.0703 (0.0712) loss_rec_sfr: 0.0889 (0.1045) loss_cl: -0.3678 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [23:41:31.124913] Epoch: [99] [320/850] eta: 0:07:43 lr: 0.002364 loss: 0.0356 (0.0353) loss_rec_all: 0.0719 (0.0713) loss_rec_sfr: 0.0917 (0.1046) loss_cl: -0.3680 (-0.3673) time: 0.8651 data: 0.0003 max mem: 29859 [23:41:48.449120] Epoch: [99] [340/850] eta: 0:07:25 lr: 0.002364 loss: 0.0330 (0.0352) loss_rec_all: 0.0689 (0.0712) loss_rec_sfr: 0.0719 (0.1040) loss_cl: -0.3677 (-0.3673) time: 0.8661 data: 0.0003 max mem: 29859 [23:42:05.801781] Epoch: [99] [360/850] eta: 0:07:08 lr: 0.002364 loss: 0.0333 (0.0351) loss_rec_all: 0.0691 (0.0711) loss_rec_sfr: 0.1119 (0.1041) loss_cl: -0.3670 (-0.3673) time: 0.8676 data: 0.0003 max mem: 29859 [23:42:23.041697] Epoch: [99] [380/850] eta: 0:06:50 lr: 0.002364 loss: 0.0316 (0.0350) loss_rec_all: 0.0677 (0.0710) loss_rec_sfr: 0.0713 (0.1032) loss_cl: -0.3668 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [23:42:40.336835] Epoch: [99] [400/850] eta: 0:06:32 lr: 0.002364 loss: 0.0343 (0.0350) loss_rec_all: 0.0701 (0.0710) loss_rec_sfr: 0.1289 (0.1042) loss_cl: -0.3671 (-0.3672) time: 0.8647 data: 0.0003 max mem: 29859 [23:42:57.558168] Epoch: [99] [420/850] eta: 0:06:15 lr: 0.002364 loss: 0.0336 (0.0350) loss_rec_all: 0.0696 (0.0710) loss_rec_sfr: 0.1174 (0.1044) loss_cl: -0.3671 (-0.3672) time: 0.8610 data: 0.0002 max mem: 29859 [23:43:14.834213] Epoch: [99] [440/850] eta: 0:05:57 lr: 0.002364 loss: 0.0352 (0.0350) loss_rec_all: 0.0715 (0.0710) loss_rec_sfr: 0.1088 (0.1046) loss_cl: -0.3672 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [23:43:32.111619] Epoch: [99] [460/850] eta: 0:05:39 lr: 0.002364 loss: 0.0350 (0.0350) loss_rec_all: 0.0711 (0.0710) loss_rec_sfr: 0.0932 (0.1046) loss_cl: -0.3672 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [23:43:49.375001] Epoch: [99] [480/850] eta: 0:05:22 lr: 0.002364 loss: 0.0335 (0.0350) loss_rec_all: 0.0696 (0.0710) loss_rec_sfr: 0.0861 (0.1042) loss_cl: -0.3668 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [23:44:06.714709] Epoch: [99] [500/850] eta: 0:05:04 lr: 0.002364 loss: 0.0336 (0.0350) loss_rec_all: 0.0693 (0.0710) loss_rec_sfr: 0.0810 (0.1039) loss_cl: -0.3669 (-0.3672) time: 0.8669 data: 0.0002 max mem: 29859 [23:44:24.125460] Epoch: [99] [520/850] eta: 0:04:47 lr: 0.002364 loss: 0.0332 (0.0350) loss_rec_all: 0.0691 (0.0710) loss_rec_sfr: 0.1243 (0.1043) loss_cl: -0.3672 (-0.3672) time: 0.8705 data: 0.0002 max mem: 29859 [23:44:41.338499] Epoch: [99] [540/850] eta: 0:04:29 lr: 0.002364 loss: 0.0337 (0.0349) loss_rec_all: 0.0698 (0.0709) loss_rec_sfr: 0.0837 (0.1044) loss_cl: -0.3675 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [23:44:58.614094] Epoch: [99] [560/850] eta: 0:04:12 lr: 0.002364 loss: 0.0344 (0.0350) loss_rec_all: 0.0705 (0.0709) loss_rec_sfr: 0.0872 (0.1042) loss_cl: -0.3674 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [23:45:15.961370] Epoch: [99] [580/850] eta: 0:03:54 lr: 0.002364 loss: 0.0339 (0.0350) loss_rec_all: 0.0700 (0.0709) loss_rec_sfr: 0.0813 (0.1038) loss_cl: -0.3675 (-0.3672) time: 0.8673 data: 0.0003 max mem: 29859 [23:45:33.294397] Epoch: [99] [600/850] eta: 0:03:37 lr: 0.002364 loss: 0.0338 (0.0350) loss_rec_all: 0.0700 (0.0710) loss_rec_sfr: 0.0838 (0.1035) loss_cl: -0.3680 (-0.3672) time: 0.8666 data: 0.0003 max mem: 29859 [23:45:50.526169] Epoch: [99] [620/850] eta: 0:03:20 lr: 0.002364 loss: 0.0348 (0.0350) loss_rec_all: 0.0711 (0.0710) loss_rec_sfr: 0.0871 (0.1035) loss_cl: -0.3680 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [23:46:07.876724] Epoch: [99] [640/850] eta: 0:03:02 lr: 0.002364 loss: 0.0367 (0.0351) loss_rec_all: 0.0726 (0.0711) loss_rec_sfr: 0.1208 (0.1039) loss_cl: -0.3678 (-0.3673) time: 0.8675 data: 0.0002 max mem: 29859 [23:46:25.092861] Epoch: [99] [660/850] eta: 0:02:45 lr: 0.002364 loss: 0.0384 (0.0352) loss_rec_all: 0.0744 (0.0712) loss_rec_sfr: 0.1289 (0.1045) loss_cl: -0.3664 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [23:46:42.376959] Epoch: [99] [680/850] eta: 0:02:27 lr: 0.002364 loss: 0.0362 (0.0353) loss_rec_all: 0.0723 (0.0713) loss_rec_sfr: 0.0827 (0.1041) loss_cl: -0.3664 (-0.3672) time: 0.8641 data: 0.0002 max mem: 29859 [23:46:59.665629] Epoch: [99] [700/850] eta: 0:02:10 lr: 0.002364 loss: 0.0374 (0.0354) loss_rec_all: 0.0732 (0.0714) loss_rec_sfr: 0.0965 (0.1043) loss_cl: -0.3660 (-0.3672) time: 0.8644 data: 0.0003 max mem: 29859 [23:47:16.909645] Epoch: [99] [720/850] eta: 0:01:52 lr: 0.002363 loss: 0.0362 (0.0355) loss_rec_all: 0.0724 (0.0714) loss_rec_sfr: 0.1107 (0.1044) loss_cl: -0.3668 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [23:47:34.126275] Epoch: [99] [740/850] eta: 0:01:35 lr: 0.002363 loss: 0.0354 (0.0355) loss_rec_all: 0.0711 (0.0714) loss_rec_sfr: 0.1160 (0.1046) loss_cl: -0.3678 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [23:47:51.455020] Epoch: [99] [760/850] eta: 0:01:18 lr: 0.002363 loss: 0.0339 (0.0354) loss_rec_all: 0.0698 (0.0714) loss_rec_sfr: 0.0859 (0.1046) loss_cl: -0.3676 (-0.3672) time: 0.8664 data: 0.0002 max mem: 29859 [23:48:08.674275] Epoch: [99] [780/850] eta: 0:01:00 lr: 0.002363 loss: 0.0333 (0.0354) loss_rec_all: 0.0695 (0.0714) loss_rec_sfr: 0.0831 (0.1046) loss_cl: -0.3673 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [23:48:25.934086] Epoch: [99] [800/850] eta: 0:00:43 lr: 0.002363 loss: 0.0333 (0.0354) loss_rec_all: 0.0694 (0.0714) loss_rec_sfr: 0.0839 (0.1045) loss_cl: -0.3675 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [23:48:43.184075] Epoch: [99] [820/850] eta: 0:00:26 lr: 0.002363 loss: 0.0338 (0.0354) loss_rec_all: 0.0696 (0.0714) loss_rec_sfr: 0.1138 (0.1047) loss_cl: -0.3679 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [23:49:00.479538] Epoch: [99] [840/850] eta: 0:00:08 lr: 0.002363 loss: 0.0324 (0.0353) loss_rec_all: 0.0686 (0.0713) loss_rec_sfr: 0.0703 (0.1044) loss_cl: -0.3677 (-0.3672) time: 0.8647 data: 0.0005 max mem: 29859 [23:49:08.223102] Epoch: [99] [849/850] eta: 0:00:00 lr: 0.002363 loss: 0.0331 (0.0353) loss_rec_all: 0.0691 (0.0713) loss_rec_sfr: 0.1139 (0.1045) loss_cl: -0.3674 (-0.3672) time: 0.8629 data: 0.0004 max mem: 29859 [23:49:08.364157] Epoch: [99] Total time: 0:12:18 (0.8683 s / it) [23:49:08.369244] Averaged stats: lr: 0.002363 loss: 0.0331 (0.0354) loss_rec_all: 0.0691 (0.0714) loss_rec_sfr: 0.1139 (0.1046) loss_cl: -0.3674 (-0.3672) [23:49:08.374311] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [23:49:12.860749] Epoch: [100] [ 0/850] eta: 1:03:32 lr: 0.002363 loss: 0.0360 (0.0360) loss_rec_all: 0.0718 (0.0718) loss_rec_sfr: 0.1256 (0.1256) loss_cl: -0.3677 (-0.3677) time: 4.4857 data: 3.4939 max mem: 29859 [23:49:30.069239] Epoch: [100] [ 20/850] eta: 0:14:17 lr: 0.002363 loss: 0.0332 (0.0335) loss_rec_all: 0.0694 (0.0695) loss_rec_sfr: 0.0873 (0.0971) loss_cl: -0.3669 (-0.3670) time: 0.8604 data: 0.0002 max mem: 29859 [23:49:47.365815] Epoch: [100] [ 40/850] eta: 0:12:50 lr: 0.002363 loss: 0.0334 (0.0335) loss_rec_all: 0.0693 (0.0695) loss_rec_sfr: 0.0830 (0.0963) loss_cl: -0.3669 (-0.3669) time: 0.8648 data: 0.0003 max mem: 29859 [23:50:04.567178] Epoch: [100] [ 60/850] eta: 0:12:07 lr: 0.002363 loss: 0.0344 (0.0342) loss_rec_all: 0.0702 (0.0702) loss_rec_sfr: 0.1063 (0.0992) loss_cl: -0.3664 (-0.3667) time: 0.8600 data: 0.0002 max mem: 29859 [23:50:21.979592] Epoch: [100] [ 80/850] eta: 0:11:39 lr: 0.002363 loss: 0.0344 (0.0343) loss_rec_all: 0.0701 (0.0703) loss_rec_sfr: 0.1048 (0.1001) loss_cl: -0.3664 (-0.3667) time: 0.8705 data: 0.0003 max mem: 29859 [23:50:39.315403] Epoch: [100] [100/850] eta: 0:11:15 lr: 0.002363 loss: 0.0331 (0.0344) loss_rec_all: 0.0693 (0.0704) loss_rec_sfr: 0.0877 (0.1003) loss_cl: -0.3673 (-0.3668) time: 0.8667 data: 0.0002 max mem: 29859 [23:50:56.553516] Epoch: [100] [120/850] eta: 0:10:52 lr: 0.002363 loss: 0.0322 (0.0342) loss_rec_all: 0.0683 (0.0702) loss_rec_sfr: 0.0869 (0.1001) loss_cl: -0.3675 (-0.3669) time: 0.8619 data: 0.0002 max mem: 29859 [23:51:13.783374] Epoch: [100] [140/850] eta: 0:10:31 lr: 0.002363 loss: 0.0351 (0.0345) loss_rec_all: 0.0710 (0.0705) loss_rec_sfr: 0.1109 (0.1014) loss_cl: -0.3679 (-0.3670) time: 0.8614 data: 0.0002 max mem: 29859 [23:51:31.219886] Epoch: [100] [160/850] eta: 0:10:12 lr: 0.002363 loss: 0.0334 (0.0345) loss_rec_all: 0.0695 (0.0705) loss_rec_sfr: 0.0760 (0.1003) loss_cl: -0.3675 (-0.3671) time: 0.8718 data: 0.0004 max mem: 29859 [23:51:48.453914] Epoch: [100] [180/850] eta: 0:09:52 lr: 0.002363 loss: 0.0338 (0.0345) loss_rec_all: 0.0696 (0.0705) loss_rec_sfr: 0.0867 (0.1001) loss_cl: -0.3671 (-0.3671) time: 0.8617 data: 0.0002 max mem: 29859 [23:52:05.716928] Epoch: [100] [200/850] eta: 0:09:33 lr: 0.002363 loss: 0.0327 (0.0345) loss_rec_all: 0.0687 (0.0705) loss_rec_sfr: 0.1106 (0.1005) loss_cl: -0.3667 (-0.3670) time: 0.8631 data: 0.0002 max mem: 29859 [23:52:23.016871] Epoch: [100] [220/850] eta: 0:09:14 lr: 0.002363 loss: 0.0320 (0.0344) loss_rec_all: 0.0682 (0.0704) loss_rec_sfr: 0.0822 (0.0992) loss_cl: -0.3666 (-0.3670) time: 0.8649 data: 0.0002 max mem: 29859 [23:52:40.272284] Epoch: [100] [240/850] eta: 0:08:56 lr: 0.002363 loss: 0.0304 (0.0343) loss_rec_all: 0.0667 (0.0703) loss_rec_sfr: 0.0761 (0.0985) loss_cl: -0.3673 (-0.3670) time: 0.8627 data: 0.0002 max mem: 29859 [23:52:57.569430] Epoch: [100] [260/850] eta: 0:08:38 lr: 0.002363 loss: 0.0348 (0.0344) loss_rec_all: 0.0711 (0.0704) loss_rec_sfr: 0.0872 (0.0988) loss_cl: -0.3678 (-0.3671) time: 0.8647 data: 0.0003 max mem: 29859 [23:53:15.043275] Epoch: [100] [280/850] eta: 0:08:20 lr: 0.002363 loss: 0.0362 (0.0346) loss_rec_all: 0.0720 (0.0706) loss_rec_sfr: 0.1131 (0.0999) loss_cl: -0.3680 (-0.3671) time: 0.8736 data: 0.0004 max mem: 29859 [23:53:32.268003] Epoch: [100] [300/850] eta: 0:08:02 lr: 0.002363 loss: 0.0349 (0.0347) loss_rec_all: 0.0709 (0.0707) loss_rec_sfr: 0.0881 (0.1001) loss_cl: -0.3679 (-0.3672) time: 0.8612 data: 0.0002 max mem: 29859 [23:53:49.602259] Epoch: [100] [320/850] eta: 0:07:44 lr: 0.002363 loss: 0.0339 (0.0347) loss_rec_all: 0.0700 (0.0707) loss_rec_sfr: 0.0862 (0.1003) loss_cl: -0.3671 (-0.3672) time: 0.8666 data: 0.0003 max mem: 29859 [23:54:07.113341] Epoch: [100] [340/850] eta: 0:07:26 lr: 0.002363 loss: 0.0345 (0.0347) loss_rec_all: 0.0707 (0.0707) loss_rec_sfr: 0.0750 (0.0999) loss_cl: -0.3668 (-0.3671) time: 0.8755 data: 0.0003 max mem: 29859 [23:54:24.675345] Epoch: [100] [360/850] eta: 0:07:09 lr: 0.002363 loss: 0.0360 (0.0348) loss_rec_all: 0.0719 (0.0708) loss_rec_sfr: 0.1245 (0.1011) loss_cl: -0.3675 (-0.3672) time: 0.8780 data: 0.0004 max mem: 29859 [23:54:41.887595] Epoch: [100] [380/850] eta: 0:06:51 lr: 0.002363 loss: 0.0365 (0.0350) loss_rec_all: 0.0721 (0.0710) loss_rec_sfr: 0.0865 (0.1010) loss_cl: -0.3673 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [23:54:59.181333] Epoch: [100] [400/850] eta: 0:06:33 lr: 0.002363 loss: 0.0370 (0.0351) loss_rec_all: 0.0727 (0.0711) loss_rec_sfr: 0.1195 (0.1016) loss_cl: -0.3670 (-0.3672) time: 0.8646 data: 0.0002 max mem: 29859 [23:55:16.387648] Epoch: [100] [420/850] eta: 0:06:15 lr: 0.002363 loss: 0.0363 (0.0352) loss_rec_all: 0.0725 (0.0712) loss_rec_sfr: 0.0829 (0.1018) loss_cl: -0.3668 (-0.3671) time: 0.8603 data: 0.0002 max mem: 29859 [23:55:33.654703] Epoch: [100] [440/850] eta: 0:05:58 lr: 0.002363 loss: 0.0349 (0.0352) loss_rec_all: 0.0708 (0.0712) loss_rec_sfr: 0.0818 (0.1015) loss_cl: -0.3669 (-0.3671) time: 0.8633 data: 0.0009 max mem: 29859 [23:55:50.905513] Epoch: [100] [460/850] eta: 0:05:40 lr: 0.002363 loss: 0.0336 (0.0352) loss_rec_all: 0.0697 (0.0712) loss_rec_sfr: 0.0860 (0.1015) loss_cl: -0.3674 (-0.3671) time: 0.8625 data: 0.0002 max mem: 29859 [23:56:08.153770] Epoch: [100] [480/850] eta: 0:05:22 lr: 0.002363 loss: 0.0345 (0.0352) loss_rec_all: 0.0704 (0.0712) loss_rec_sfr: 0.0881 (0.1017) loss_cl: -0.3678 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [23:56:25.370631] Epoch: [100] [500/850] eta: 0:05:05 lr: 0.002363 loss: 0.0335 (0.0351) loss_rec_all: 0.0695 (0.0711) loss_rec_sfr: 0.1086 (0.1019) loss_cl: -0.3686 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [23:56:42.633397] Epoch: [100] [520/850] eta: 0:04:47 lr: 0.002363 loss: 0.0328 (0.0351) loss_rec_all: 0.0690 (0.0711) loss_rec_sfr: 0.0917 (0.1017) loss_cl: -0.3680 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [23:56:59.847039] Epoch: [100] [540/850] eta: 0:04:30 lr: 0.002363 loss: 0.0320 (0.0351) loss_rec_all: 0.0680 (0.0711) loss_rec_sfr: 0.0823 (0.1015) loss_cl: -0.3671 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [23:57:17.105396] Epoch: [100] [560/850] eta: 0:04:12 lr: 0.002362 loss: 0.0328 (0.0350) loss_rec_all: 0.0687 (0.0710) loss_rec_sfr: 0.1023 (0.1015) loss_cl: -0.3670 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [23:57:34.329021] Epoch: [100] [580/850] eta: 0:03:55 lr: 0.002362 loss: 0.0314 (0.0349) loss_rec_all: 0.0676 (0.0710) loss_rec_sfr: 0.0805 (0.1010) loss_cl: -0.3672 (-0.3672) time: 0.8611 data: 0.0002 max mem: 29859 [23:57:51.677666] Epoch: [100] [600/850] eta: 0:03:37 lr: 0.002362 loss: 0.0326 (0.0349) loss_rec_all: 0.0687 (0.0709) loss_rec_sfr: 0.0924 (0.1013) loss_cl: -0.3668 (-0.3672) time: 0.8674 data: 0.0002 max mem: 29859 [23:58:08.919613] Epoch: [100] [620/850] eta: 0:03:20 lr: 0.002362 loss: 0.0310 (0.0348) loss_rec_all: 0.0671 (0.0708) loss_rec_sfr: 0.0766 (0.1010) loss_cl: -0.3666 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [23:58:26.231654] Epoch: [100] [640/850] eta: 0:03:02 lr: 0.002362 loss: 0.0337 (0.0348) loss_rec_all: 0.0698 (0.0708) loss_rec_sfr: 0.1055 (0.1012) loss_cl: -0.3667 (-0.3672) time: 0.8654 data: 0.0003 max mem: 29859 [23:58:43.467714] Epoch: [100] [660/850] eta: 0:02:45 lr: 0.002362 loss: 0.0364 (0.0350) loss_rec_all: 0.0725 (0.0710) loss_rec_sfr: 0.1107 (0.1015) loss_cl: -0.3669 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [23:59:00.710287] Epoch: [100] [680/850] eta: 0:02:27 lr: 0.002362 loss: 0.0365 (0.0350) loss_rec_all: 0.0722 (0.0710) loss_rec_sfr: 0.0736 (0.1014) loss_cl: -0.3672 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [23:59:17.953948] Epoch: [100] [700/850] eta: 0:02:10 lr: 0.002362 loss: 0.0363 (0.0351) loss_rec_all: 0.0723 (0.0711) loss_rec_sfr: 0.1238 (0.1019) loss_cl: -0.3671 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [23:59:35.172347] Epoch: [100] [720/850] eta: 0:01:53 lr: 0.002362 loss: 0.0348 (0.0351) loss_rec_all: 0.0710 (0.0711) loss_rec_sfr: 0.1123 (0.1023) loss_cl: -0.3675 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [23:59:52.383959] Epoch: [100] [740/850] eta: 0:01:35 lr: 0.002362 loss: 0.0342 (0.0351) loss_rec_all: 0.0704 (0.0711) loss_rec_sfr: 0.0817 (0.1022) loss_cl: -0.3678 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [00:00:09.671016] Epoch: [100] [760/850] eta: 0:01:18 lr: 0.002362 loss: 0.0336 (0.0351) loss_rec_all: 0.0697 (0.0711) loss_rec_sfr: 0.1180 (0.1025) loss_cl: -0.3679 (-0.3672) time: 0.8643 data: 0.0002 max mem: 29859 [00:00:26.853410] Epoch: [100] [780/850] eta: 0:01:00 lr: 0.002362 loss: 0.0338 (0.0351) loss_rec_all: 0.0700 (0.0711) loss_rec_sfr: 0.1111 (0.1024) loss_cl: -0.3671 (-0.3672) time: 0.8591 data: 0.0002 max mem: 29859 [00:00:44.130514] Epoch: [100] [800/850] eta: 0:00:43 lr: 0.002362 loss: 0.0329 (0.0350) loss_rec_all: 0.0689 (0.0710) loss_rec_sfr: 0.1058 (0.1025) loss_cl: -0.3674 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [00:01:01.339912] Epoch: [100] [820/850] eta: 0:00:26 lr: 0.002362 loss: 0.0341 (0.0350) loss_rec_all: 0.0701 (0.0710) loss_rec_sfr: 0.1115 (0.1027) loss_cl: -0.3670 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [00:01:18.579804] Epoch: [100] [840/850] eta: 0:00:08 lr: 0.002362 loss: 0.0333 (0.0350) loss_rec_all: 0.0693 (0.0710) loss_rec_sfr: 0.0723 (0.1024) loss_cl: -0.3665 (-0.3672) time: 0.8619 data: 0.0005 max mem: 29859 [00:01:26.318824] Epoch: [100] [849/850] eta: 0:00:00 lr: 0.002362 loss: 0.0333 (0.0350) loss_rec_all: 0.0693 (0.0710) loss_rec_sfr: 0.0821 (0.1025) loss_cl: -0.3665 (-0.3672) time: 0.8620 data: 0.0005 max mem: 29859 [00:01:26.473518] Epoch: [100] Total time: 0:12:18 (0.8684 s / it) [00:01:26.476194] Averaged stats: lr: 0.002362 loss: 0.0333 (0.0350) loss_rec_all: 0.0693 (0.0710) loss_rec_sfr: 0.0821 (0.1021) loss_cl: -0.3665 (-0.3672) [00:01:30.163042] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [00:01:33.857138] Epoch: [101] [ 0/850] eta: 0:52:19 lr: 0.002362 loss: 0.0286 (0.0286) loss_rec_all: 0.0648 (0.0648) loss_rec_sfr: 0.0624 (0.0624) loss_cl: -0.3670 (-0.3670) time: 3.6935 data: 2.8410 max mem: 29859 [00:01:51.004812] Epoch: [101] [ 20/850] eta: 0:13:43 lr: 0.002362 loss: 0.0329 (0.0332) loss_rec_all: 0.0690 (0.0692) loss_rec_sfr: 0.0794 (0.0906) loss_cl: -0.3667 (-0.3667) time: 0.8573 data: 0.0001 max mem: 29859 [00:02:08.220386] Epoch: [101] [ 40/850] eta: 0:12:31 lr: 0.002362 loss: 0.0338 (0.0335) loss_rec_all: 0.0694 (0.0695) loss_rec_sfr: 0.1104 (0.1021) loss_cl: -0.3673 (-0.3670) time: 0.8607 data: 0.0001 max mem: 29859 [00:02:25.430879] Epoch: [101] [ 60/850] eta: 0:11:55 lr: 0.002362 loss: 0.0313 (0.0330) loss_rec_all: 0.0676 (0.0690) loss_rec_sfr: 0.0783 (0.0989) loss_cl: -0.3678 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [00:02:42.661914] Epoch: [101] [ 80/850] eta: 0:11:29 lr: 0.002362 loss: 0.0332 (0.0336) loss_rec_all: 0.0695 (0.0697) loss_rec_sfr: 0.0790 (0.0979) loss_cl: -0.3682 (-0.3674) time: 0.8615 data: 0.0002 max mem: 29859 [00:02:59.879324] Epoch: [101] [100/850] eta: 0:11:06 lr: 0.002362 loss: 0.0384 (0.0353) loss_rec_all: 0.0744 (0.0713) loss_rec_sfr: 0.1214 (0.1021) loss_cl: -0.3677 (-0.3675) time: 0.8608 data: 0.0002 max mem: 29859 [00:03:17.136818] Epoch: [101] [120/850] eta: 0:10:45 lr: 0.002362 loss: 0.0361 (0.0356) loss_rec_all: 0.0719 (0.0717) loss_rec_sfr: 0.0800 (0.1021) loss_cl: -0.3677 (-0.3676) time: 0.8628 data: 0.0002 max mem: 29859 [00:03:34.362204] Epoch: [101] [140/850] eta: 0:10:25 lr: 0.002362 loss: 0.0361 (0.0360) loss_rec_all: 0.0723 (0.0720) loss_rec_sfr: 0.0806 (0.1024) loss_cl: -0.3670 (-0.3675) time: 0.8612 data: 0.0002 max mem: 29859 [00:03:51.620442] Epoch: [101] [160/850] eta: 0:10:06 lr: 0.002362 loss: 0.0376 (0.0364) loss_rec_all: 0.0738 (0.0724) loss_rec_sfr: 0.0937 (0.1029) loss_cl: -0.3673 (-0.3675) time: 0.8629 data: 0.0002 max mem: 29859 [00:04:08.835138] Epoch: [101] [180/850] eta: 0:09:47 lr: 0.002362 loss: 0.0397 (0.0369) loss_rec_all: 0.0758 (0.0729) loss_rec_sfr: 0.0871 (0.1027) loss_cl: -0.3676 (-0.3675) time: 0.8607 data: 0.0002 max mem: 29859 [00:04:26.091258] Epoch: [101] [200/850] eta: 0:09:28 lr: 0.002362 loss: 0.0383 (0.0372) loss_rec_all: 0.0745 (0.0732) loss_rec_sfr: 0.0870 (0.1033) loss_cl: -0.3674 (-0.3675) time: 0.8628 data: 0.0002 max mem: 29859 [00:04:43.308233] Epoch: [101] [220/850] eta: 0:09:10 lr: 0.002362 loss: 0.0372 (0.0372) loss_rec_all: 0.0733 (0.0732) loss_rec_sfr: 0.0851 (0.1034) loss_cl: -0.3669 (-0.3674) time: 0.8608 data: 0.0002 max mem: 29859 [00:05:00.586285] Epoch: [101] [240/850] eta: 0:08:52 lr: 0.002362 loss: 0.0358 (0.0371) loss_rec_all: 0.0717 (0.0732) loss_rec_sfr: 0.0845 (0.1033) loss_cl: -0.3667 (-0.3674) time: 0.8639 data: 0.0003 max mem: 29859 [00:05:17.796017] Epoch: [101] [260/850] eta: 0:08:34 lr: 0.002362 loss: 0.0346 (0.0371) loss_rec_all: 0.0706 (0.0731) loss_rec_sfr: 0.0823 (0.1027) loss_cl: -0.3668 (-0.3673) time: 0.8604 data: 0.0002 max mem: 29859 [00:05:35.067586] Epoch: [101] [280/850] eta: 0:08:16 lr: 0.002362 loss: 0.0337 (0.0369) loss_rec_all: 0.0698 (0.0729) loss_rec_sfr: 0.1157 (0.1033) loss_cl: -0.3668 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [00:05:52.309987] Epoch: [101] [300/850] eta: 0:07:58 lr: 0.002362 loss: 0.0330 (0.0367) loss_rec_all: 0.0691 (0.0727) loss_rec_sfr: 0.0869 (0.1031) loss_cl: -0.3677 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [00:06:09.559741] Epoch: [101] [320/850] eta: 0:07:41 lr: 0.002362 loss: 0.0324 (0.0365) loss_rec_all: 0.0685 (0.0725) loss_rec_sfr: 0.0862 (0.1030) loss_cl: -0.3676 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [00:06:26.766593] Epoch: [101] [340/850] eta: 0:07:23 lr: 0.002362 loss: 0.0311 (0.0362) loss_rec_all: 0.0674 (0.0722) loss_rec_sfr: 0.0678 (0.1017) loss_cl: -0.3677 (-0.3674) time: 0.8603 data: 0.0002 max mem: 29859 [00:06:44.042778] Epoch: [101] [360/850] eta: 0:07:06 lr: 0.002362 loss: 0.0307 (0.0360) loss_rec_all: 0.0666 (0.0720) loss_rec_sfr: 0.1019 (0.1017) loss_cl: -0.3675 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [00:07:01.253828] Epoch: [101] [380/850] eta: 0:06:48 lr: 0.002362 loss: 0.0326 (0.0358) loss_rec_all: 0.0683 (0.0719) loss_rec_sfr: 0.1073 (0.1020) loss_cl: -0.3673 (-0.3674) time: 0.8605 data: 0.0002 max mem: 29859 [00:07:18.533397] Epoch: [101] [400/850] eta: 0:06:30 lr: 0.002361 loss: 0.0310 (0.0357) loss_rec_all: 0.0671 (0.0717) loss_rec_sfr: 0.1021 (0.1021) loss_cl: -0.3671 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [00:07:35.757577] Epoch: [101] [420/850] eta: 0:06:13 lr: 0.002361 loss: 0.0320 (0.0356) loss_rec_all: 0.0682 (0.0716) loss_rec_sfr: 0.0787 (0.1014) loss_cl: -0.3675 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [00:07:53.005956] Epoch: [101] [440/850] eta: 0:05:55 lr: 0.002361 loss: 0.0325 (0.0354) loss_rec_all: 0.0685 (0.0714) loss_rec_sfr: 0.0822 (0.1012) loss_cl: -0.3672 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [00:08:10.273593] Epoch: [101] [460/850] eta: 0:05:38 lr: 0.002361 loss: 0.0344 (0.0354) loss_rec_all: 0.0703 (0.0715) loss_rec_sfr: 0.1068 (0.1014) loss_cl: -0.3667 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [00:08:27.541227] Epoch: [101] [480/850] eta: 0:05:21 lr: 0.002361 loss: 0.0345 (0.0354) loss_rec_all: 0.0704 (0.0714) loss_rec_sfr: 0.1099 (0.1016) loss_cl: -0.3676 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [00:08:44.742168] Epoch: [101] [500/850] eta: 0:05:03 lr: 0.002361 loss: 0.0349 (0.0354) loss_rec_all: 0.0706 (0.0714) loss_rec_sfr: 0.0850 (0.1016) loss_cl: -0.3678 (-0.3673) time: 0.8600 data: 0.0002 max mem: 29859 [00:09:02.043480] Epoch: [101] [520/850] eta: 0:04:46 lr: 0.002361 loss: 0.0334 (0.0354) loss_rec_all: 0.0696 (0.0714) loss_rec_sfr: 0.1111 (0.1016) loss_cl: -0.3675 (-0.3673) time: 0.8650 data: 0.0003 max mem: 29859 [00:09:19.255440] Epoch: [101] [540/850] eta: 0:04:28 lr: 0.002361 loss: 0.0349 (0.0354) loss_rec_all: 0.0707 (0.0714) loss_rec_sfr: 0.1073 (0.1017) loss_cl: -0.3674 (-0.3673) time: 0.8606 data: 0.0002 max mem: 29859 [00:09:36.494759] Epoch: [101] [560/850] eta: 0:04:11 lr: 0.002361 loss: 0.0341 (0.0354) loss_rec_all: 0.0703 (0.0714) loss_rec_sfr: 0.1114 (0.1019) loss_cl: -0.3678 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [00:09:53.777368] Epoch: [101] [580/850] eta: 0:03:54 lr: 0.002361 loss: 0.0341 (0.0354) loss_rec_all: 0.0700 (0.0714) loss_rec_sfr: 0.1151 (0.1022) loss_cl: -0.3677 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [00:10:11.021235] Epoch: [101] [600/850] eta: 0:03:36 lr: 0.002361 loss: 0.0340 (0.0354) loss_rec_all: 0.0700 (0.0714) loss_rec_sfr: 0.1116 (0.1025) loss_cl: -0.3668 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [00:10:28.216582] Epoch: [101] [620/850] eta: 0:03:19 lr: 0.002361 loss: 0.0331 (0.0353) loss_rec_all: 0.0692 (0.0713) loss_rec_sfr: 0.0767 (0.1025) loss_cl: -0.3667 (-0.3673) time: 0.8597 data: 0.0002 max mem: 29859 [00:10:45.514731] Epoch: [101] [640/850] eta: 0:03:01 lr: 0.002361 loss: 0.0316 (0.0353) loss_rec_all: 0.0678 (0.0713) loss_rec_sfr: 0.0772 (0.1022) loss_cl: -0.3671 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [00:11:02.719358] Epoch: [101] [660/850] eta: 0:02:44 lr: 0.002361 loss: 0.0331 (0.0352) loss_rec_all: 0.0692 (0.0713) loss_rec_sfr: 0.0813 (0.1020) loss_cl: -0.3675 (-0.3673) time: 0.8602 data: 0.0002 max mem: 29859 [00:11:19.957107] Epoch: [101] [680/850] eta: 0:02:27 lr: 0.002361 loss: 0.0342 (0.0352) loss_rec_all: 0.0703 (0.0712) loss_rec_sfr: 0.0867 (0.1020) loss_cl: -0.3672 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [00:11:37.225714] Epoch: [101] [700/850] eta: 0:02:09 lr: 0.002361 loss: 0.0341 (0.0352) loss_rec_all: 0.0700 (0.0712) loss_rec_sfr: 0.1163 (0.1022) loss_cl: -0.3676 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [00:11:54.475615] Epoch: [101] [720/850] eta: 0:01:52 lr: 0.002361 loss: 0.0348 (0.0353) loss_rec_all: 0.0709 (0.0713) loss_rec_sfr: 0.1056 (0.1023) loss_cl: -0.3673 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [00:12:11.677372] Epoch: [101] [740/850] eta: 0:01:35 lr: 0.002361 loss: 0.0360 (0.0353) loss_rec_all: 0.0717 (0.0713) loss_rec_sfr: 0.1091 (0.1023) loss_cl: -0.3669 (-0.3673) time: 0.8600 data: 0.0002 max mem: 29859 [00:12:28.977033] Epoch: [101] [760/850] eta: 0:01:17 lr: 0.002361 loss: 0.0341 (0.0353) loss_rec_all: 0.0702 (0.0713) loss_rec_sfr: 0.0932 (0.1025) loss_cl: -0.3669 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [00:12:46.179453] Epoch: [101] [780/850] eta: 0:01:00 lr: 0.002361 loss: 0.0365 (0.0353) loss_rec_all: 0.0722 (0.0713) loss_rec_sfr: 0.1095 (0.1027) loss_cl: -0.3666 (-0.3673) time: 0.8601 data: 0.0002 max mem: 29859 [00:13:03.398729] Epoch: [101] [800/850] eta: 0:00:43 lr: 0.002361 loss: 0.0351 (0.0354) loss_rec_all: 0.0710 (0.0714) loss_rec_sfr: 0.1131 (0.1028) loss_cl: -0.3664 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [00:13:20.617436] Epoch: [101] [820/850] eta: 0:00:25 lr: 0.002361 loss: 0.0334 (0.0353) loss_rec_all: 0.0694 (0.0713) loss_rec_sfr: 0.0773 (0.1026) loss_cl: -0.3674 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [00:13:37.831550] Epoch: [101] [840/850] eta: 0:00:08 lr: 0.002361 loss: 0.0310 (0.0353) loss_rec_all: 0.0673 (0.0713) loss_rec_sfr: 0.0835 (0.1023) loss_cl: -0.3678 (-0.3673) time: 0.8607 data: 0.0004 max mem: 29859 [00:13:45.571842] Epoch: [101] [849/850] eta: 0:00:00 lr: 0.002361 loss: 0.0313 (0.0353) loss_rec_all: 0.0677 (0.0713) loss_rec_sfr: 0.0839 (0.1024) loss_cl: -0.3677 (-0.3673) time: 0.8608 data: 0.0003 max mem: 29859 [00:13:45.733591] Epoch: [101] Total time: 0:12:15 (0.8654 s / it) [00:13:45.737647] Averaged stats: lr: 0.002361 loss: 0.0313 (0.0353) loss_rec_all: 0.0677 (0.0713) loss_rec_sfr: 0.0839 (0.1024) loss_cl: -0.3677 (-0.3672) [00:13:45.758146] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [00:13:50.129780] Epoch: [102] [ 0/850] eta: 1:01:55 lr: 0.002361 loss: 0.0325 (0.0325) loss_rec_all: 0.0683 (0.0683) loss_rec_sfr: 0.1237 (0.1237) loss_cl: -0.3673 (-0.3673) time: 4.3708 data: 2.9847 max mem: 29859 [00:14:07.290825] Epoch: [102] [ 20/850] eta: 0:14:10 lr: 0.002361 loss: 0.0310 (0.0320) loss_rec_all: 0.0670 (0.0681) loss_rec_sfr: 0.0810 (0.1018) loss_cl: -0.3675 (-0.3675) time: 0.8580 data: 0.0001 max mem: 29859 [00:14:24.528843] Epoch: [102] [ 40/850] eta: 0:12:45 lr: 0.002361 loss: 0.0317 (0.0321) loss_rec_all: 0.0676 (0.0681) loss_rec_sfr: 0.0754 (0.1003) loss_cl: -0.3671 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [00:14:41.728520] Epoch: [102] [ 60/850] eta: 0:12:04 lr: 0.002361 loss: 0.0326 (0.0326) loss_rec_all: 0.0687 (0.0686) loss_rec_sfr: 0.1069 (0.1007) loss_cl: -0.3673 (-0.3673) time: 0.8599 data: 0.0002 max mem: 29859 [00:14:58.961856] Epoch: [102] [ 80/850] eta: 0:11:35 lr: 0.002361 loss: 0.0324 (0.0328) loss_rec_all: 0.0686 (0.0688) loss_rec_sfr: 0.0834 (0.1002) loss_cl: -0.3677 (-0.3674) time: 0.8616 data: 0.0002 max mem: 29859 [00:15:16.168749] Epoch: [102] [100/850] eta: 0:11:11 lr: 0.002361 loss: 0.0311 (0.0325) loss_rec_all: 0.0672 (0.0686) loss_rec_sfr: 0.0780 (0.0981) loss_cl: -0.3674 (-0.3674) time: 0.8603 data: 0.0002 max mem: 29859 [00:15:33.423150] Epoch: [102] [120/850] eta: 0:10:49 lr: 0.002361 loss: 0.0336 (0.0327) loss_rec_all: 0.0694 (0.0688) loss_rec_sfr: 0.1247 (0.1014) loss_cl: -0.3669 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [00:15:50.638507] Epoch: [102] [140/850] eta: 0:10:28 lr: 0.002361 loss: 0.0325 (0.0329) loss_rec_all: 0.0682 (0.0689) loss_rec_sfr: 0.1042 (0.1022) loss_cl: -0.3665 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [00:16:07.880492] Epoch: [102] [160/850] eta: 0:10:09 lr: 0.002361 loss: 0.0341 (0.0331) loss_rec_all: 0.0698 (0.0691) loss_rec_sfr: 0.1077 (0.1036) loss_cl: -0.3675 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [00:16:25.101176] Epoch: [102] [180/850] eta: 0:09:49 lr: 0.002361 loss: 0.0337 (0.0333) loss_rec_all: 0.0695 (0.0693) loss_rec_sfr: 0.1035 (0.1034) loss_cl: -0.3675 (-0.3673) time: 0.8610 data: 0.0002 max mem: 29859 [00:16:42.342112] Epoch: [102] [200/850] eta: 0:09:31 lr: 0.002361 loss: 0.0330 (0.0335) loss_rec_all: 0.0689 (0.0695) loss_rec_sfr: 0.0824 (0.1029) loss_cl: -0.3674 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [00:16:59.549404] Epoch: [102] [220/850] eta: 0:09:12 lr: 0.002360 loss: 0.0343 (0.0336) loss_rec_all: 0.0699 (0.0697) loss_rec_sfr: 0.0911 (0.1025) loss_cl: -0.3672 (-0.3673) time: 0.8603 data: 0.0002 max mem: 29859 [00:17:16.794704] Epoch: [102] [240/850] eta: 0:08:54 lr: 0.002360 loss: 0.0332 (0.0337) loss_rec_all: 0.0693 (0.0697) loss_rec_sfr: 0.0887 (0.1027) loss_cl: -0.3670 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [00:17:33.999427] Epoch: [102] [260/850] eta: 0:08:35 lr: 0.002360 loss: 0.0328 (0.0337) loss_rec_all: 0.0689 (0.0697) loss_rec_sfr: 0.0834 (0.1026) loss_cl: -0.3671 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [00:17:51.247907] Epoch: [102] [280/850] eta: 0:08:17 lr: 0.002360 loss: 0.0336 (0.0337) loss_rec_all: 0.0697 (0.0697) loss_rec_sfr: 0.0736 (0.1014) loss_cl: -0.3672 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [00:18:08.458560] Epoch: [102] [300/850] eta: 0:07:59 lr: 0.002360 loss: 0.0345 (0.0338) loss_rec_all: 0.0708 (0.0698) loss_rec_sfr: 0.0787 (0.1015) loss_cl: -0.3668 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [00:18:25.707655] Epoch: [102] [320/850] eta: 0:07:42 lr: 0.002360 loss: 0.0330 (0.0338) loss_rec_all: 0.0691 (0.0698) loss_rec_sfr: 0.0799 (0.1016) loss_cl: -0.3667 (-0.3672) time: 0.8624 data: 0.0001 max mem: 29859 [00:18:42.903681] Epoch: [102] [340/850] eta: 0:07:24 lr: 0.002360 loss: 0.0334 (0.0339) loss_rec_all: 0.0696 (0.0699) loss_rec_sfr: 0.1054 (0.1015) loss_cl: -0.3664 (-0.3671) time: 0.8598 data: 0.0001 max mem: 29859 [00:19:00.144398] Epoch: [102] [360/850] eta: 0:07:06 lr: 0.002360 loss: 0.0334 (0.0339) loss_rec_all: 0.0695 (0.0699) loss_rec_sfr: 0.0866 (0.1016) loss_cl: -0.3669 (-0.3671) time: 0.8620 data: 0.0001 max mem: 29859 [00:19:17.353977] Epoch: [102] [380/850] eta: 0:06:49 lr: 0.002360 loss: 0.0324 (0.0339) loss_rec_all: 0.0685 (0.0699) loss_rec_sfr: 0.0839 (0.1010) loss_cl: -0.3675 (-0.3671) time: 0.8604 data: 0.0002 max mem: 29859 [00:19:34.581008] Epoch: [102] [400/850] eta: 0:06:31 lr: 0.002360 loss: 0.0326 (0.0339) loss_rec_all: 0.0685 (0.0699) loss_rec_sfr: 0.1054 (0.1009) loss_cl: -0.3676 (-0.3672) time: 0.8613 data: 0.0001 max mem: 29859 [00:19:51.779302] Epoch: [102] [420/850] eta: 0:06:13 lr: 0.002360 loss: 0.0326 (0.0339) loss_rec_all: 0.0685 (0.0699) loss_rec_sfr: 0.0820 (0.1006) loss_cl: -0.3680 (-0.3672) time: 0.8599 data: 0.0001 max mem: 29859 [00:20:09.012125] Epoch: [102] [440/850] eta: 0:05:56 lr: 0.002360 loss: 0.0322 (0.0338) loss_rec_all: 0.0684 (0.0698) loss_rec_sfr: 0.0788 (0.1005) loss_cl: -0.3674 (-0.3672) time: 0.8616 data: 0.0001 max mem: 29859 [00:20:26.201252] Epoch: [102] [460/850] eta: 0:05:38 lr: 0.002360 loss: 0.0317 (0.0337) loss_rec_all: 0.0678 (0.0698) loss_rec_sfr: 0.1053 (0.1007) loss_cl: -0.3678 (-0.3672) time: 0.8594 data: 0.0001 max mem: 29859 [00:20:43.432410] Epoch: [102] [480/850] eta: 0:05:21 lr: 0.002360 loss: 0.0331 (0.0338) loss_rec_all: 0.0690 (0.0698) loss_rec_sfr: 0.0858 (0.1007) loss_cl: -0.3674 (-0.3672) time: 0.8615 data: 0.0001 max mem: 29859 [00:21:00.626250] Epoch: [102] [500/850] eta: 0:05:03 lr: 0.002360 loss: 0.0343 (0.0338) loss_rec_all: 0.0703 (0.0699) loss_rec_sfr: 0.0844 (0.1011) loss_cl: -0.3670 (-0.3672) time: 0.8597 data: 0.0001 max mem: 29859 [00:21:17.862472] Epoch: [102] [520/850] eta: 0:04:46 lr: 0.002360 loss: 0.0344 (0.0339) loss_rec_all: 0.0702 (0.0700) loss_rec_sfr: 0.0835 (0.1014) loss_cl: -0.3672 (-0.3672) time: 0.8618 data: 0.0001 max mem: 29859 [00:21:35.061982] Epoch: [102] [540/850] eta: 0:04:28 lr: 0.002360 loss: 0.0361 (0.0341) loss_rec_all: 0.0721 (0.0701) loss_rec_sfr: 0.1069 (0.1018) loss_cl: -0.3672 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [00:21:52.297025] Epoch: [102] [560/850] eta: 0:04:11 lr: 0.002360 loss: 0.0357 (0.0342) loss_rec_all: 0.0715 (0.0702) loss_rec_sfr: 0.1153 (0.1023) loss_cl: -0.3677 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [00:22:09.495275] Epoch: [102] [580/850] eta: 0:03:54 lr: 0.002360 loss: 0.0362 (0.0342) loss_rec_all: 0.0721 (0.0702) loss_rec_sfr: 0.1117 (0.1028) loss_cl: -0.3675 (-0.3672) time: 0.8598 data: 0.0001 max mem: 29859 [00:22:26.743862] Epoch: [102] [600/850] eta: 0:03:36 lr: 0.002360 loss: 0.0363 (0.0343) loss_rec_all: 0.0724 (0.0703) loss_rec_sfr: 0.0844 (0.1025) loss_cl: -0.3671 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [00:22:43.950773] Epoch: [102] [620/850] eta: 0:03:19 lr: 0.002360 loss: 0.0364 (0.0344) loss_rec_all: 0.0723 (0.0704) loss_rec_sfr: 0.1079 (0.1027) loss_cl: -0.3671 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [00:23:01.198812] Epoch: [102] [640/850] eta: 0:03:01 lr: 0.002360 loss: 0.0344 (0.0345) loss_rec_all: 0.0705 (0.0705) loss_rec_sfr: 0.0895 (0.1029) loss_cl: -0.3670 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [00:23:18.414456] Epoch: [102] [660/850] eta: 0:02:44 lr: 0.002360 loss: 0.0335 (0.0345) loss_rec_all: 0.0696 (0.0705) loss_rec_sfr: 0.0813 (0.1028) loss_cl: -0.3669 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [00:23:35.656049] Epoch: [102] [680/850] eta: 0:02:27 lr: 0.002360 loss: 0.0321 (0.0344) loss_rec_all: 0.0683 (0.0704) loss_rec_sfr: 0.0869 (0.1027) loss_cl: -0.3669 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [00:23:52.868201] Epoch: [102] [700/850] eta: 0:02:09 lr: 0.002360 loss: 0.0315 (0.0344) loss_rec_all: 0.0677 (0.0704) loss_rec_sfr: 0.0701 (0.1022) loss_cl: -0.3674 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [00:24:10.107696] Epoch: [102] [720/850] eta: 0:01:52 lr: 0.002360 loss: 0.0340 (0.0344) loss_rec_all: 0.0698 (0.0704) loss_rec_sfr: 0.1101 (0.1023) loss_cl: -0.3680 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [00:24:27.318006] Epoch: [102] [740/850] eta: 0:01:35 lr: 0.002360 loss: 0.0329 (0.0344) loss_rec_all: 0.0690 (0.0704) loss_rec_sfr: 0.1111 (0.1024) loss_cl: -0.3677 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [00:24:44.567105] Epoch: [102] [760/850] eta: 0:01:17 lr: 0.002360 loss: 0.0326 (0.0344) loss_rec_all: 0.0688 (0.0704) loss_rec_sfr: 0.0938 (0.1024) loss_cl: -0.3669 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [00:25:01.774907] Epoch: [102] [780/850] eta: 0:01:00 lr: 0.002360 loss: 0.0317 (0.0343) loss_rec_all: 0.0678 (0.0703) loss_rec_sfr: 0.0839 (0.1023) loss_cl: -0.3671 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [00:25:19.020495] Epoch: [102] [800/850] eta: 0:00:43 lr: 0.002360 loss: 0.0325 (0.0343) loss_rec_all: 0.0686 (0.0703) loss_rec_sfr: 0.0740 (0.1021) loss_cl: -0.3668 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [00:25:36.228974] Epoch: [102] [820/850] eta: 0:00:25 lr: 0.002360 loss: 0.0329 (0.0343) loss_rec_all: 0.0687 (0.0703) loss_rec_sfr: 0.1038 (0.1022) loss_cl: -0.3667 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [00:25:53.477230] Epoch: [102] [840/850] eta: 0:00:08 lr: 0.002360 loss: 0.0314 (0.0343) loss_rec_all: 0.0676 (0.0703) loss_rec_sfr: 0.0835 (0.1020) loss_cl: -0.3664 (-0.3672) time: 0.8624 data: 0.0004 max mem: 29859 [00:26:01.218231] Epoch: [102] [849/850] eta: 0:00:00 lr: 0.002360 loss: 0.0314 (0.0342) loss_rec_all: 0.0676 (0.0702) loss_rec_sfr: 0.0816 (0.1019) loss_cl: -0.3666 (-0.3672) time: 0.8622 data: 0.0004 max mem: 29859 [00:26:01.376599] Epoch: [102] Total time: 0:12:15 (0.8654 s / it) [00:26:01.378992] Averaged stats: lr: 0.002360 loss: 0.0314 (0.0344) loss_rec_all: 0.0676 (0.0704) loss_rec_sfr: 0.0816 (0.1021) loss_cl: -0.3666 (-0.3672) [00:26:01.390791] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [00:26:05.763475] Epoch: [103] [ 0/850] eta: 1:01:56 lr: 0.002360 loss: 0.0304 (0.0304) loss_rec_all: 0.0660 (0.0660) loss_rec_sfr: 0.1398 (0.1398) loss_cl: -0.3661 (-0.3661) time: 4.3719 data: 3.1562 max mem: 29859 [00:26:22.938303] Epoch: [103] [ 20/850] eta: 0:14:11 lr: 0.002360 loss: 0.0312 (0.0320) loss_rec_all: 0.0673 (0.0680) loss_rec_sfr: 0.0805 (0.0947) loss_cl: -0.3669 (-0.3669) time: 0.8587 data: 0.0002 max mem: 29859 [00:26:40.188583] Epoch: [103] [ 40/850] eta: 0:12:46 lr: 0.002359 loss: 0.0317 (0.0323) loss_rec_all: 0.0676 (0.0684) loss_rec_sfr: 0.0775 (0.0926) loss_cl: -0.3675 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [00:26:57.388522] Epoch: [103] [ 60/850] eta: 0:12:05 lr: 0.002359 loss: 0.0317 (0.0323) loss_rec_all: 0.0677 (0.0683) loss_rec_sfr: 0.1081 (0.0964) loss_cl: -0.3672 (-0.3673) time: 0.8599 data: 0.0002 max mem: 29859 [00:27:14.620211] Epoch: [103] [ 80/850] eta: 0:11:36 lr: 0.002359 loss: 0.0327 (0.0327) loss_rec_all: 0.0690 (0.0687) loss_rec_sfr: 0.1071 (0.0981) loss_cl: -0.3675 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [00:27:31.838869] Epoch: [103] [100/850] eta: 0:11:11 lr: 0.002359 loss: 0.0357 (0.0334) loss_rec_all: 0.0716 (0.0695) loss_rec_sfr: 0.1085 (0.1019) loss_cl: -0.3673 (-0.3673) time: 0.8609 data: 0.0002 max mem: 29859 [00:27:49.068989] Epoch: [103] [120/850] eta: 0:10:49 lr: 0.002359 loss: 0.0351 (0.0338) loss_rec_all: 0.0712 (0.0698) loss_rec_sfr: 0.1205 (0.1051) loss_cl: -0.3663 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [00:28:06.285331] Epoch: [103] [140/850] eta: 0:10:28 lr: 0.002359 loss: 0.0338 (0.0342) loss_rec_all: 0.0696 (0.0701) loss_rec_sfr: 0.1071 (0.1054) loss_cl: -0.3667 (-0.3671) time: 0.8608 data: 0.0002 max mem: 29859 [00:28:23.517937] Epoch: [103] [160/850] eta: 0:10:09 lr: 0.002359 loss: 0.0341 (0.0342) loss_rec_all: 0.0702 (0.0702) loss_rec_sfr: 0.0727 (0.1039) loss_cl: -0.3671 (-0.3671) time: 0.8616 data: 0.0002 max mem: 29859 [00:28:40.724203] Epoch: [103] [180/850] eta: 0:09:49 lr: 0.002359 loss: 0.0329 (0.0341) loss_rec_all: 0.0686 (0.0701) loss_rec_sfr: 0.1197 (0.1044) loss_cl: -0.3678 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [00:28:57.960351] Epoch: [103] [200/850] eta: 0:09:30 lr: 0.002359 loss: 0.0324 (0.0341) loss_rec_all: 0.0686 (0.0701) loss_rec_sfr: 0.1069 (0.1041) loss_cl: -0.3682 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [00:29:15.167911] Epoch: [103] [220/850] eta: 0:09:12 lr: 0.002359 loss: 0.0308 (0.0340) loss_rec_all: 0.0669 (0.0700) loss_rec_sfr: 0.0774 (0.1031) loss_cl: -0.3671 (-0.3673) time: 0.8603 data: 0.0002 max mem: 29859 [00:29:32.408474] Epoch: [103] [240/850] eta: 0:08:54 lr: 0.002359 loss: 0.0319 (0.0339) loss_rec_all: 0.0681 (0.0699) loss_rec_sfr: 0.1194 (0.1037) loss_cl: -0.3667 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [00:29:49.626006] Epoch: [103] [260/850] eta: 0:08:35 lr: 0.002359 loss: 0.0321 (0.0339) loss_rec_all: 0.0680 (0.0699) loss_rec_sfr: 0.1056 (0.1039) loss_cl: -0.3670 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [00:30:06.866782] Epoch: [103] [280/850] eta: 0:08:17 lr: 0.002359 loss: 0.0310 (0.0338) loss_rec_all: 0.0671 (0.0698) loss_rec_sfr: 0.0794 (0.1027) loss_cl: -0.3674 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [00:30:24.070074] Epoch: [103] [300/850] eta: 0:07:59 lr: 0.002359 loss: 0.0321 (0.0337) loss_rec_all: 0.0681 (0.0697) loss_rec_sfr: 0.0823 (0.1023) loss_cl: -0.3675 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [00:30:41.301002] Epoch: [103] [320/850] eta: 0:07:42 lr: 0.002359 loss: 0.0340 (0.0337) loss_rec_all: 0.0699 (0.0697) loss_rec_sfr: 0.0907 (0.1021) loss_cl: -0.3672 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [00:30:58.508326] Epoch: [103] [340/850] eta: 0:07:24 lr: 0.002359 loss: 0.0361 (0.0339) loss_rec_all: 0.0721 (0.0699) loss_rec_sfr: 0.1081 (0.1025) loss_cl: -0.3666 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [00:31:15.743667] Epoch: [103] [360/850] eta: 0:07:06 lr: 0.002359 loss: 0.0341 (0.0339) loss_rec_all: 0.0701 (0.0699) loss_rec_sfr: 0.0750 (0.1018) loss_cl: -0.3664 (-0.3671) time: 0.8617 data: 0.0002 max mem: 29859 [00:31:32.948806] Epoch: [103] [380/850] eta: 0:06:48 lr: 0.002359 loss: 0.0350 (0.0341) loss_rec_all: 0.0711 (0.0700) loss_rec_sfr: 0.1006 (0.1017) loss_cl: -0.3664 (-0.3671) time: 0.8602 data: 0.0002 max mem: 29859 [00:31:50.182458] Epoch: [103] [400/850] eta: 0:06:31 lr: 0.002359 loss: 0.0345 (0.0342) loss_rec_all: 0.0703 (0.0702) loss_rec_sfr: 0.1068 (0.1017) loss_cl: -0.3672 (-0.3671) time: 0.8616 data: 0.0002 max mem: 29859 [00:32:07.382051] Epoch: [103] [420/850] eta: 0:06:13 lr: 0.002359 loss: 0.0334 (0.0342) loss_rec_all: 0.0696 (0.0702) loss_rec_sfr: 0.0924 (0.1015) loss_cl: -0.3681 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [00:32:24.621519] Epoch: [103] [440/850] eta: 0:05:56 lr: 0.002359 loss: 0.0337 (0.0342) loss_rec_all: 0.0699 (0.0702) loss_rec_sfr: 0.1103 (0.1020) loss_cl: -0.3687 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [00:32:41.819061] Epoch: [103] [460/850] eta: 0:05:38 lr: 0.002359 loss: 0.0314 (0.0342) loss_rec_all: 0.0677 (0.0702) loss_rec_sfr: 0.0706 (0.1017) loss_cl: -0.3684 (-0.3673) time: 0.8598 data: 0.0002 max mem: 29859 [00:32:59.060228] Epoch: [103] [480/850] eta: 0:05:21 lr: 0.002359 loss: 0.0324 (0.0342) loss_rec_all: 0.0685 (0.0702) loss_rec_sfr: 0.1015 (0.1016) loss_cl: -0.3678 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [00:33:16.258688] Epoch: [103] [500/850] eta: 0:05:03 lr: 0.002359 loss: 0.0316 (0.0341) loss_rec_all: 0.0675 (0.0701) loss_rec_sfr: 0.1079 (0.1015) loss_cl: -0.3675 (-0.3673) time: 0.8599 data: 0.0002 max mem: 29859 [00:33:33.502682] Epoch: [103] [520/850] eta: 0:04:46 lr: 0.002359 loss: 0.0337 (0.0341) loss_rec_all: 0.0693 (0.0701) loss_rec_sfr: 0.0986 (0.1016) loss_cl: -0.3658 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [00:33:50.703545] Epoch: [103] [540/850] eta: 0:04:28 lr: 0.002359 loss: 0.0323 (0.0340) loss_rec_all: 0.0680 (0.0700) loss_rec_sfr: 0.1210 (0.1019) loss_cl: -0.3666 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [00:34:07.938041] Epoch: [103] [560/850] eta: 0:04:11 lr: 0.002359 loss: 0.0327 (0.0340) loss_rec_all: 0.0687 (0.0700) loss_rec_sfr: 0.0818 (0.1017) loss_cl: -0.3676 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [00:34:25.140367] Epoch: [103] [580/850] eta: 0:03:54 lr: 0.002359 loss: 0.0337 (0.0340) loss_rec_all: 0.0699 (0.0700) loss_rec_sfr: 0.1039 (0.1016) loss_cl: -0.3673 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [00:34:42.386866] Epoch: [103] [600/850] eta: 0:03:36 lr: 0.002359 loss: 0.0334 (0.0341) loss_rec_all: 0.0692 (0.0701) loss_rec_sfr: 0.1128 (0.1018) loss_cl: -0.3672 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [00:34:59.583722] Epoch: [103] [620/850] eta: 0:03:19 lr: 0.002359 loss: 0.0351 (0.0341) loss_rec_all: 0.0711 (0.0701) loss_rec_sfr: 0.0785 (0.1016) loss_cl: -0.3672 (-0.3672) time: 0.8598 data: 0.0001 max mem: 29859 [00:35:16.808290] Epoch: [103] [640/850] eta: 0:03:01 lr: 0.002359 loss: 0.0345 (0.0342) loss_rec_all: 0.0703 (0.0702) loss_rec_sfr: 0.1071 (0.1018) loss_cl: -0.3667 (-0.3672) time: 0.8612 data: 0.0001 max mem: 29859 [00:35:34.004722] Epoch: [103] [660/850] eta: 0:02:44 lr: 0.002359 loss: 0.0332 (0.0342) loss_rec_all: 0.0693 (0.0702) loss_rec_sfr: 0.0843 (0.1017) loss_cl: -0.3668 (-0.3672) time: 0.8598 data: 0.0001 max mem: 29859 [00:35:51.233798] Epoch: [103] [680/850] eta: 0:02:27 lr: 0.002359 loss: 0.0327 (0.0341) loss_rec_all: 0.0688 (0.0701) loss_rec_sfr: 0.0730 (0.1016) loss_cl: -0.3669 (-0.3672) time: 0.8614 data: 0.0001 max mem: 29859 [00:36:08.429843] Epoch: [103] [700/850] eta: 0:02:09 lr: 0.002358 loss: 0.0333 (0.0341) loss_rec_all: 0.0693 (0.0702) loss_rec_sfr: 0.0791 (0.1014) loss_cl: -0.3669 (-0.3672) time: 0.8598 data: 0.0001 max mem: 29859 [00:36:25.659985] Epoch: [103] [720/850] eta: 0:01:52 lr: 0.002358 loss: 0.0334 (0.0342) loss_rec_all: 0.0692 (0.0702) loss_rec_sfr: 0.1107 (0.1015) loss_cl: -0.3678 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [00:36:42.853095] Epoch: [103] [740/850] eta: 0:01:35 lr: 0.002358 loss: 0.0316 (0.0341) loss_rec_all: 0.0678 (0.0701) loss_rec_sfr: 0.0729 (0.1012) loss_cl: -0.3671 (-0.3672) time: 0.8596 data: 0.0001 max mem: 29859 [00:37:00.074218] Epoch: [103] [760/850] eta: 0:01:17 lr: 0.002358 loss: 0.0319 (0.0341) loss_rec_all: 0.0680 (0.0701) loss_rec_sfr: 0.0708 (0.1007) loss_cl: -0.3670 (-0.3672) time: 0.8610 data: 0.0001 max mem: 29859 [00:37:17.272948] Epoch: [103] [780/850] eta: 0:01:00 lr: 0.002358 loss: 0.0325 (0.0341) loss_rec_all: 0.0685 (0.0701) loss_rec_sfr: 0.0855 (0.1008) loss_cl: -0.3675 (-0.3672) time: 0.8599 data: 0.0001 max mem: 29859 [00:37:34.498162] Epoch: [103] [800/850] eta: 0:00:43 lr: 0.002358 loss: 0.0323 (0.0341) loss_rec_all: 0.0681 (0.0701) loss_rec_sfr: 0.1092 (0.1008) loss_cl: -0.3671 (-0.3672) time: 0.8612 data: 0.0001 max mem: 29859 [00:37:51.691787] Epoch: [103] [820/850] eta: 0:00:25 lr: 0.002358 loss: 0.0317 (0.0340) loss_rec_all: 0.0676 (0.0700) loss_rec_sfr: 0.1171 (0.1010) loss_cl: -0.3675 (-0.3672) time: 0.8596 data: 0.0001 max mem: 29859 [00:38:08.935252] Epoch: [103] [840/850] eta: 0:00:08 lr: 0.002358 loss: 0.0319 (0.0340) loss_rec_all: 0.0677 (0.0700) loss_rec_sfr: 0.1014 (0.1011) loss_cl: -0.3674 (-0.3672) time: 0.8621 data: 0.0012 max mem: 29859 [00:38:16.667240] Epoch: [103] [849/850] eta: 0:00:00 lr: 0.002358 loss: 0.0327 (0.0340) loss_rec_all: 0.0684 (0.0700) loss_rec_sfr: 0.0736 (0.1009) loss_cl: -0.3670 (-0.3672) time: 0.8616 data: 0.0011 max mem: 29859 [00:38:16.797387] Epoch: [103] Total time: 0:12:15 (0.8652 s / it) [00:38:16.802823] Averaged stats: lr: 0.002358 loss: 0.0327 (0.0340) loss_rec_all: 0.0684 (0.0700) loss_rec_sfr: 0.0736 (0.1008) loss_cl: -0.3670 (-0.3672) [00:38:16.814718] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [00:38:20.960025] Epoch: [104] [ 0/850] eta: 0:58:42 lr: 0.002358 loss: 0.0336 (0.0336) loss_rec_all: 0.0695 (0.0695) loss_rec_sfr: 0.1296 (0.1296) loss_cl: -0.3675 (-0.3675) time: 4.1446 data: 3.0854 max mem: 29859 [00:38:38.125319] Epoch: [104] [ 20/850] eta: 0:14:02 lr: 0.002358 loss: 0.0333 (0.0340) loss_rec_all: 0.0693 (0.0700) loss_rec_sfr: 0.0990 (0.1044) loss_cl: -0.3672 (-0.3673) time: 0.8582 data: 0.0001 max mem: 29859 [00:38:55.357187] Epoch: [104] [ 40/850] eta: 0:12:41 lr: 0.002358 loss: 0.0323 (0.0333) loss_rec_all: 0.0686 (0.0694) loss_rec_sfr: 0.0799 (0.0997) loss_cl: -0.3676 (-0.3674) time: 0.8615 data: 0.0002 max mem: 29859 [00:39:12.549332] Epoch: [104] [ 60/850] eta: 0:12:01 lr: 0.002358 loss: 0.0317 (0.0333) loss_rec_all: 0.0677 (0.0694) loss_rec_sfr: 0.0804 (0.0970) loss_cl: -0.3673 (-0.3674) time: 0.8596 data: 0.0002 max mem: 29859 [00:39:29.774796] Epoch: [104] [ 80/850] eta: 0:11:33 lr: 0.002358 loss: 0.0331 (0.0336) loss_rec_all: 0.0693 (0.0696) loss_rec_sfr: 0.0916 (0.0986) loss_cl: -0.3676 (-0.3674) time: 0.8612 data: 0.0002 max mem: 29859 [00:39:46.985036] Epoch: [104] [100/850] eta: 0:11:09 lr: 0.002358 loss: 0.0342 (0.0338) loss_rec_all: 0.0699 (0.0698) loss_rec_sfr: 0.0816 (0.0988) loss_cl: -0.3674 (-0.3674) time: 0.8605 data: 0.0002 max mem: 29859 [00:40:04.214565] Epoch: [104] [120/850] eta: 0:10:47 lr: 0.002358 loss: 0.0330 (0.0336) loss_rec_all: 0.0690 (0.0697) loss_rec_sfr: 0.1044 (0.1000) loss_cl: -0.3671 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [00:40:21.412406] Epoch: [104] [140/850] eta: 0:10:27 lr: 0.002358 loss: 0.0325 (0.0336) loss_rec_all: 0.0684 (0.0696) loss_rec_sfr: 0.1111 (0.1010) loss_cl: -0.3672 (-0.3672) time: 0.8598 data: 0.0002 max mem: 29859 [00:40:38.640194] Epoch: [104] [160/850] eta: 0:10:07 lr: 0.002358 loss: 0.0311 (0.0335) loss_rec_all: 0.0671 (0.0695) loss_rec_sfr: 0.0781 (0.1006) loss_cl: -0.3676 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [00:40:55.860423] Epoch: [104] [180/850] eta: 0:09:48 lr: 0.002358 loss: 0.0312 (0.0334) loss_rec_all: 0.0675 (0.0694) loss_rec_sfr: 0.1009 (0.1005) loss_cl: -0.3671 (-0.3672) time: 0.8610 data: 0.0002 max mem: 29859 [00:41:13.094396] Epoch: [104] [200/850] eta: 0:09:30 lr: 0.002358 loss: 0.0331 (0.0334) loss_rec_all: 0.0689 (0.0694) loss_rec_sfr: 0.0767 (0.0995) loss_cl: -0.3672 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [00:41:30.317029] Epoch: [104] [220/850] eta: 0:09:11 lr: 0.002358 loss: 0.0329 (0.0335) loss_rec_all: 0.0688 (0.0695) loss_rec_sfr: 0.1000 (0.0999) loss_cl: -0.3672 (-0.3672) time: 0.8611 data: 0.0002 max mem: 29859 [00:41:47.556153] Epoch: [104] [240/850] eta: 0:08:53 lr: 0.002358 loss: 0.0335 (0.0336) loss_rec_all: 0.0696 (0.0696) loss_rec_sfr: 0.1044 (0.1011) loss_cl: -0.3674 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [00:42:04.756676] Epoch: [104] [260/850] eta: 0:08:35 lr: 0.002358 loss: 0.0310 (0.0334) loss_rec_all: 0.0671 (0.0694) loss_rec_sfr: 0.0824 (0.1005) loss_cl: -0.3673 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [00:42:21.998303] Epoch: [104] [280/850] eta: 0:08:17 lr: 0.002358 loss: 0.0339 (0.0335) loss_rec_all: 0.0697 (0.0695) loss_rec_sfr: 0.1066 (0.1010) loss_cl: -0.3672 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [00:42:39.196852] Epoch: [104] [300/850] eta: 0:07:59 lr: 0.002358 loss: 0.0346 (0.0336) loss_rec_all: 0.0707 (0.0696) loss_rec_sfr: 0.1004 (0.1015) loss_cl: -0.3673 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [00:42:56.448592] Epoch: [104] [320/850] eta: 0:07:41 lr: 0.002358 loss: 0.0338 (0.0336) loss_rec_all: 0.0699 (0.0696) loss_rec_sfr: 0.1022 (0.1019) loss_cl: -0.3669 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [00:43:13.646219] Epoch: [104] [340/850] eta: 0:07:23 lr: 0.002358 loss: 0.0341 (0.0337) loss_rec_all: 0.0699 (0.0697) loss_rec_sfr: 0.1110 (0.1028) loss_cl: -0.3669 (-0.3672) time: 0.8598 data: 0.0002 max mem: 29859 [00:43:30.895771] Epoch: [104] [360/850] eta: 0:07:06 lr: 0.002358 loss: 0.0316 (0.0337) loss_rec_all: 0.0677 (0.0697) loss_rec_sfr: 0.0827 (0.1023) loss_cl: -0.3672 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [00:43:48.090333] Epoch: [104] [380/850] eta: 0:06:48 lr: 0.002358 loss: 0.0338 (0.0337) loss_rec_all: 0.0698 (0.0697) loss_rec_sfr: 0.1009 (0.1020) loss_cl: -0.3666 (-0.3672) time: 0.8597 data: 0.0002 max mem: 29859 [00:44:05.334552] Epoch: [104] [400/850] eta: 0:06:31 lr: 0.002358 loss: 0.0328 (0.0336) loss_rec_all: 0.0684 (0.0696) loss_rec_sfr: 0.0874 (0.1020) loss_cl: -0.3670 (-0.3671) time: 0.8622 data: 0.0002 max mem: 29859 [00:44:22.531635] Epoch: [104] [420/850] eta: 0:06:13 lr: 0.002358 loss: 0.0317 (0.0336) loss_rec_all: 0.0677 (0.0696) loss_rec_sfr: 0.1055 (0.1022) loss_cl: -0.3673 (-0.3672) time: 0.8598 data: 0.0002 max mem: 29859 [00:44:39.780912] Epoch: [104] [440/850] eta: 0:05:56 lr: 0.002358 loss: 0.0323 (0.0336) loss_rec_all: 0.0685 (0.0696) loss_rec_sfr: 0.1051 (0.1020) loss_cl: -0.3677 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [00:44:56.981533] Epoch: [104] [460/850] eta: 0:05:38 lr: 0.002358 loss: 0.0333 (0.0337) loss_rec_all: 0.0694 (0.0697) loss_rec_sfr: 0.1144 (0.1021) loss_cl: -0.3676 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [00:45:14.220148] Epoch: [104] [480/850] eta: 0:05:21 lr: 0.002358 loss: 0.0361 (0.0339) loss_rec_all: 0.0723 (0.0699) loss_rec_sfr: 0.0829 (0.1022) loss_cl: -0.3680 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [00:45:31.415469] Epoch: [104] [500/850] eta: 0:05:03 lr: 0.002357 loss: 0.0353 (0.0341) loss_rec_all: 0.0715 (0.0701) loss_rec_sfr: 0.0869 (0.1021) loss_cl: -0.3681 (-0.3673) time: 0.8597 data: 0.0002 max mem: 29859 [00:45:48.656709] Epoch: [104] [520/850] eta: 0:04:46 lr: 0.002357 loss: 0.0342 (0.0341) loss_rec_all: 0.0705 (0.0702) loss_rec_sfr: 0.0835 (0.1018) loss_cl: -0.3680 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [00:46:05.849496] Epoch: [104] [540/850] eta: 0:04:28 lr: 0.002357 loss: 0.0330 (0.0341) loss_rec_all: 0.0693 (0.0702) loss_rec_sfr: 0.0729 (0.1013) loss_cl: -0.3673 (-0.3673) time: 0.8596 data: 0.0002 max mem: 29859 [00:46:23.095052] Epoch: [104] [560/850] eta: 0:04:11 lr: 0.002357 loss: 0.0346 (0.0342) loss_rec_all: 0.0704 (0.0702) loss_rec_sfr: 0.0843 (0.1013) loss_cl: -0.3667 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [00:46:40.291803] Epoch: [104] [580/850] eta: 0:03:53 lr: 0.002357 loss: 0.0332 (0.0342) loss_rec_all: 0.0693 (0.0702) loss_rec_sfr: 0.0842 (0.1011) loss_cl: -0.3661 (-0.3672) time: 0.8598 data: 0.0002 max mem: 29859 [00:46:57.528983] Epoch: [104] [600/850] eta: 0:03:36 lr: 0.002357 loss: 0.0335 (0.0342) loss_rec_all: 0.0694 (0.0702) loss_rec_sfr: 0.0814 (0.1009) loss_cl: -0.3662 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [00:47:14.727441] Epoch: [104] [620/850] eta: 0:03:19 lr: 0.002357 loss: 0.0344 (0.0343) loss_rec_all: 0.0701 (0.0703) loss_rec_sfr: 0.1078 (0.1010) loss_cl: -0.3668 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [00:47:31.960769] Epoch: [104] [640/850] eta: 0:03:01 lr: 0.002357 loss: 0.0333 (0.0342) loss_rec_all: 0.0692 (0.0703) loss_rec_sfr: 0.1039 (0.1009) loss_cl: -0.3678 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [00:47:49.163073] Epoch: [104] [660/850] eta: 0:02:44 lr: 0.002357 loss: 0.0323 (0.0342) loss_rec_all: 0.0682 (0.0703) loss_rec_sfr: 0.1056 (0.1011) loss_cl: -0.3678 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [00:48:06.394453] Epoch: [104] [680/850] eta: 0:02:27 lr: 0.002357 loss: 0.0350 (0.0344) loss_rec_all: 0.0709 (0.0704) loss_rec_sfr: 0.1242 (0.1025) loss_cl: -0.3671 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [00:48:23.588606] Epoch: [104] [700/850] eta: 0:02:09 lr: 0.002357 loss: 0.0344 (0.0344) loss_rec_all: 0.0701 (0.0704) loss_rec_sfr: 0.1124 (0.1030) loss_cl: -0.3670 (-0.3672) time: 0.8597 data: 0.0002 max mem: 29859 [00:48:40.835375] Epoch: [104] [720/850] eta: 0:01:52 lr: 0.002357 loss: 0.0349 (0.0344) loss_rec_all: 0.0707 (0.0704) loss_rec_sfr: 0.1086 (0.1033) loss_cl: -0.3669 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [00:48:58.028116] Epoch: [104] [740/850] eta: 0:01:35 lr: 0.002357 loss: 0.0342 (0.0344) loss_rec_all: 0.0701 (0.0704) loss_rec_sfr: 0.0779 (0.1033) loss_cl: -0.3675 (-0.3672) time: 0.8596 data: 0.0002 max mem: 29859 [00:49:15.274744] Epoch: [104] [760/850] eta: 0:01:17 lr: 0.002357 loss: 0.0325 (0.0344) loss_rec_all: 0.0686 (0.0704) loss_rec_sfr: 0.0799 (0.1029) loss_cl: -0.3675 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [00:49:32.467920] Epoch: [104] [780/850] eta: 0:01:00 lr: 0.002357 loss: 0.0351 (0.0344) loss_rec_all: 0.0708 (0.0704) loss_rec_sfr: 0.1248 (0.1034) loss_cl: -0.3672 (-0.3672) time: 0.8596 data: 0.0002 max mem: 29859 [00:49:49.711555] Epoch: [104] [800/850] eta: 0:00:43 lr: 0.002357 loss: 0.0353 (0.0345) loss_rec_all: 0.0710 (0.0705) loss_rec_sfr: 0.1084 (0.1035) loss_cl: -0.3677 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [00:50:06.909399] Epoch: [104] [820/850] eta: 0:00:25 lr: 0.002357 loss: 0.0363 (0.0345) loss_rec_all: 0.0720 (0.0705) loss_rec_sfr: 0.1135 (0.1039) loss_cl: -0.3660 (-0.3672) time: 0.8598 data: 0.0002 max mem: 29859 [00:50:24.149790] Epoch: [104] [840/850] eta: 0:00:08 lr: 0.002357 loss: 0.0358 (0.0346) loss_rec_all: 0.0712 (0.0706) loss_rec_sfr: 0.1262 (0.1044) loss_cl: -0.3657 (-0.3672) time: 0.8620 data: 0.0005 max mem: 29859 [00:50:31.893938] Epoch: [104] [849/850] eta: 0:00:00 lr: 0.002357 loss: 0.0348 (0.0346) loss_rec_all: 0.0707 (0.0706) loss_rec_sfr: 0.1087 (0.1044) loss_cl: -0.3658 (-0.3672) time: 0.8622 data: 0.0004 max mem: 29859 [00:50:32.048984] Epoch: [104] Total time: 0:12:15 (0.8650 s / it) [00:50:32.051811] Averaged stats: lr: 0.002357 loss: 0.0348 (0.0344) loss_rec_all: 0.0707 (0.0704) loss_rec_sfr: 0.1087 (0.1033) loss_cl: -0.3658 (-0.3672) [00:50:32.065542] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [00:50:36.152758] Epoch: [105] [ 0/850] eta: 0:57:53 lr: 0.002357 loss: 0.0434 (0.0434) loss_rec_all: 0.0798 (0.0798) loss_rec_sfr: 0.1126 (0.1126) loss_cl: -0.3711 (-0.3711) time: 4.0861 data: 3.2307 max mem: 29859 [00:50:53.304641] Epoch: [105] [ 20/850] eta: 0:13:59 lr: 0.002357 loss: 0.0326 (0.0335) loss_rec_all: 0.0687 (0.0696) loss_rec_sfr: 0.0752 (0.0888) loss_cl: -0.3662 (-0.3668) time: 0.8575 data: 0.0001 max mem: 29859 [00:51:10.503984] Epoch: [105] [ 40/850] eta: 0:12:39 lr: 0.002357 loss: 0.0332 (0.0340) loss_rec_all: 0.0693 (0.0701) loss_rec_sfr: 0.0969 (0.0945) loss_cl: -0.3668 (-0.3673) time: 0.8599 data: 0.0001 max mem: 29859 [00:51:27.686625] Epoch: [105] [ 60/850] eta: 0:12:00 lr: 0.002357 loss: 0.0310 (0.0334) loss_rec_all: 0.0668 (0.0694) loss_rec_sfr: 0.0809 (0.0963) loss_cl: -0.3649 (-0.3667) time: 0.8591 data: 0.0002 max mem: 29859 [00:51:44.884633] Epoch: [105] [ 80/850] eta: 0:11:32 lr: 0.002357 loss: 0.0322 (0.0331) loss_rec_all: 0.0680 (0.0691) loss_rec_sfr: 0.1083 (0.0984) loss_cl: -0.3661 (-0.3665) time: 0.8599 data: 0.0002 max mem: 29859 [00:52:02.068285] Epoch: [105] [100/850] eta: 0:11:08 lr: 0.002357 loss: 0.0310 (0.0328) loss_rec_all: 0.0672 (0.0688) loss_rec_sfr: 0.0789 (0.0978) loss_cl: -0.3688 (-0.3669) time: 0.8591 data: 0.0002 max mem: 29859 [00:52:19.269018] Epoch: [105] [120/850] eta: 0:10:46 lr: 0.002357 loss: 0.0323 (0.0328) loss_rec_all: 0.0685 (0.0689) loss_rec_sfr: 0.0825 (0.0984) loss_cl: -0.3688 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [00:52:36.437132] Epoch: [105] [140/850] eta: 0:10:26 lr: 0.002357 loss: 0.0319 (0.0329) loss_rec_all: 0.0680 (0.0690) loss_rec_sfr: 0.0814 (0.0987) loss_cl: -0.3680 (-0.3673) time: 0.8584 data: 0.0002 max mem: 29859 [00:52:53.648244] Epoch: [105] [160/850] eta: 0:10:06 lr: 0.002357 loss: 0.0313 (0.0329) loss_rec_all: 0.0672 (0.0689) loss_rec_sfr: 0.0882 (0.0991) loss_cl: -0.3672 (-0.3673) time: 0.8605 data: 0.0002 max mem: 29859 [00:53:10.832046] Epoch: [105] [180/850] eta: 0:09:47 lr: 0.002357 loss: 0.0308 (0.0327) loss_rec_all: 0.0670 (0.0687) loss_rec_sfr: 0.0842 (0.0988) loss_cl: -0.3664 (-0.3672) time: 0.8591 data: 0.0002 max mem: 29859 [00:53:28.056603] Epoch: [105] [200/850] eta: 0:09:29 lr: 0.002357 loss: 0.0310 (0.0327) loss_rec_all: 0.0671 (0.0687) loss_rec_sfr: 0.0783 (0.0986) loss_cl: -0.3667 (-0.3672) time: 0.8612 data: 0.0001 max mem: 29859 [00:53:45.248830] Epoch: [105] [220/850] eta: 0:09:10 lr: 0.002357 loss: 0.0318 (0.0328) loss_rec_all: 0.0677 (0.0688) loss_rec_sfr: 0.1073 (0.0992) loss_cl: -0.3671 (-0.3671) time: 0.8596 data: 0.0001 max mem: 29859 [00:54:02.479555] Epoch: [105] [240/850] eta: 0:08:52 lr: 0.002357 loss: 0.0343 (0.0330) loss_rec_all: 0.0701 (0.0690) loss_rec_sfr: 0.1061 (0.0999) loss_cl: -0.3676 (-0.3672) time: 0.8615 data: 0.0001 max mem: 29859 [00:54:19.673347] Epoch: [105] [260/850] eta: 0:08:34 lr: 0.002357 loss: 0.0350 (0.0331) loss_rec_all: 0.0709 (0.0691) loss_rec_sfr: 0.0881 (0.1000) loss_cl: -0.3673 (-0.3672) time: 0.8597 data: 0.0001 max mem: 29859 [00:54:36.907346] Epoch: [105] [280/850] eta: 0:08:16 lr: 0.002357 loss: 0.0364 (0.0334) loss_rec_all: 0.0722 (0.0694) loss_rec_sfr: 0.1279 (0.1014) loss_cl: -0.3675 (-0.3672) time: 0.8617 data: 0.0001 max mem: 29859 [00:54:54.098268] Epoch: [105] [300/850] eta: 0:07:58 lr: 0.002356 loss: 0.0329 (0.0335) loss_rec_all: 0.0690 (0.0695) loss_rec_sfr: 0.1048 (0.1018) loss_cl: -0.3674 (-0.3672) time: 0.8595 data: 0.0001 max mem: 29859 [00:55:11.329839] Epoch: [105] [320/850] eta: 0:07:41 lr: 0.002356 loss: 0.0340 (0.0335) loss_rec_all: 0.0698 (0.0696) loss_rec_sfr: 0.0837 (0.1016) loss_cl: -0.3676 (-0.3672) time: 0.8615 data: 0.0001 max mem: 29859 [00:55:28.516181] Epoch: [105] [340/850] eta: 0:07:23 lr: 0.002356 loss: 0.0329 (0.0335) loss_rec_all: 0.0688 (0.0695) loss_rec_sfr: 0.1148 (0.1019) loss_cl: -0.3671 (-0.3672) time: 0.8593 data: 0.0001 max mem: 29859 [00:55:45.742409] Epoch: [105] [360/850] eta: 0:07:05 lr: 0.002356 loss: 0.0319 (0.0335) loss_rec_all: 0.0680 (0.0695) loss_rec_sfr: 0.0873 (0.1018) loss_cl: -0.3665 (-0.3672) time: 0.8613 data: 0.0001 max mem: 29859 [00:56:02.919507] Epoch: [105] [380/850] eta: 0:06:48 lr: 0.002356 loss: 0.0322 (0.0335) loss_rec_all: 0.0679 (0.0695) loss_rec_sfr: 0.1103 (0.1022) loss_cl: -0.3660 (-0.3671) time: 0.8588 data: 0.0001 max mem: 29859 [00:56:20.153011] Epoch: [105] [400/850] eta: 0:06:30 lr: 0.002356 loss: 0.0314 (0.0335) loss_rec_all: 0.0673 (0.0695) loss_rec_sfr: 0.0725 (0.1018) loss_cl: -0.3668 (-0.3671) time: 0.8616 data: 0.0001 max mem: 29859 [00:56:37.340821] Epoch: [105] [420/850] eta: 0:06:13 lr: 0.002356 loss: 0.0327 (0.0334) loss_rec_all: 0.0686 (0.0694) loss_rec_sfr: 0.1046 (0.1019) loss_cl: -0.3682 (-0.3671) time: 0.8594 data: 0.0001 max mem: 29859 [00:56:54.572795] Epoch: [105] [440/850] eta: 0:05:55 lr: 0.002356 loss: 0.0302 (0.0333) loss_rec_all: 0.0662 (0.0693) loss_rec_sfr: 0.0771 (0.1015) loss_cl: -0.3684 (-0.3672) time: 0.8616 data: 0.0001 max mem: 29859 [00:57:11.766095] Epoch: [105] [460/850] eta: 0:05:38 lr: 0.002356 loss: 0.0299 (0.0332) loss_rec_all: 0.0661 (0.0692) loss_rec_sfr: 0.0759 (0.1010) loss_cl: -0.3677 (-0.3672) time: 0.8596 data: 0.0001 max mem: 29859 [00:57:28.983153] Epoch: [105] [480/850] eta: 0:05:20 lr: 0.002356 loss: 0.0329 (0.0332) loss_rec_all: 0.0690 (0.0692) loss_rec_sfr: 0.1008 (0.1011) loss_cl: -0.3675 (-0.3672) time: 0.8608 data: 0.0001 max mem: 29859 [00:57:46.174759] Epoch: [105] [500/850] eta: 0:05:03 lr: 0.002356 loss: 0.0339 (0.0333) loss_rec_all: 0.0700 (0.0693) loss_rec_sfr: 0.0850 (0.1018) loss_cl: -0.3669 (-0.3672) time: 0.8595 data: 0.0001 max mem: 29859 [00:58:03.398721] Epoch: [105] [520/850] eta: 0:04:45 lr: 0.002356 loss: 0.0367 (0.0334) loss_rec_all: 0.0724 (0.0694) loss_rec_sfr: 0.1077 (0.1022) loss_cl: -0.3669 (-0.3672) time: 0.8612 data: 0.0002 max mem: 29859 [00:58:20.578718] Epoch: [105] [540/850] eta: 0:04:28 lr: 0.002356 loss: 0.0342 (0.0335) loss_rec_all: 0.0701 (0.0695) loss_rec_sfr: 0.1109 (0.1024) loss_cl: -0.3674 (-0.3672) time: 0.8590 data: 0.0001 max mem: 29859 [00:58:37.781164] Epoch: [105] [560/850] eta: 0:04:11 lr: 0.002356 loss: 0.0327 (0.0335) loss_rec_all: 0.0689 (0.0695) loss_rec_sfr: 0.0828 (0.1024) loss_cl: -0.3679 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [00:58:54.970379] Epoch: [105] [580/850] eta: 0:03:53 lr: 0.002356 loss: 0.0334 (0.0335) loss_rec_all: 0.0692 (0.0696) loss_rec_sfr: 0.0769 (0.1023) loss_cl: -0.3674 (-0.3672) time: 0.8594 data: 0.0002 max mem: 29859 [00:59:12.176774] Epoch: [105] [600/850] eta: 0:03:36 lr: 0.002356 loss: 0.0355 (0.0336) loss_rec_all: 0.0716 (0.0696) loss_rec_sfr: 0.0809 (0.1021) loss_cl: -0.3669 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [00:59:29.355480] Epoch: [105] [620/850] eta: 0:03:18 lr: 0.002356 loss: 0.0348 (0.0337) loss_rec_all: 0.0706 (0.0697) loss_rec_sfr: 0.1128 (0.1022) loss_cl: -0.3671 (-0.3672) time: 0.8589 data: 0.0002 max mem: 29859 [00:59:46.572243] Epoch: [105] [640/850] eta: 0:03:01 lr: 0.002356 loss: 0.0328 (0.0337) loss_rec_all: 0.0690 (0.0697) loss_rec_sfr: 0.1085 (0.1025) loss_cl: -0.3672 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [01:00:03.751088] Epoch: [105] [660/850] eta: 0:02:44 lr: 0.002356 loss: 0.0318 (0.0337) loss_rec_all: 0.0679 (0.0697) loss_rec_sfr: 0.0824 (0.1023) loss_cl: -0.3667 (-0.3672) time: 0.8589 data: 0.0002 max mem: 29859 [01:00:20.964666] Epoch: [105] [680/850] eta: 0:02:27 lr: 0.002356 loss: 0.0317 (0.0337) loss_rec_all: 0.0676 (0.0697) loss_rec_sfr: 0.0775 (0.1022) loss_cl: -0.3669 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [01:00:38.130895] Epoch: [105] [700/850] eta: 0:02:09 lr: 0.002356 loss: 0.0326 (0.0336) loss_rec_all: 0.0684 (0.0696) loss_rec_sfr: 0.1175 (0.1024) loss_cl: -0.3672 (-0.3672) time: 0.8583 data: 0.0002 max mem: 29859 [01:00:55.334878] Epoch: [105] [720/850] eta: 0:01:52 lr: 0.002356 loss: 0.0307 (0.0336) loss_rec_all: 0.0668 (0.0696) loss_rec_sfr: 0.0711 (0.1021) loss_cl: -0.3664 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [01:01:12.497013] Epoch: [105] [740/850] eta: 0:01:35 lr: 0.002356 loss: 0.0323 (0.0336) loss_rec_all: 0.0684 (0.0696) loss_rec_sfr: 0.0885 (0.1020) loss_cl: -0.3670 (-0.3672) time: 0.8581 data: 0.0002 max mem: 29859 [01:01:29.699638] Epoch: [105] [760/850] eta: 0:01:17 lr: 0.002356 loss: 0.0362 (0.0337) loss_rec_all: 0.0719 (0.0697) loss_rec_sfr: 0.1115 (0.1024) loss_cl: -0.3673 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [01:01:46.875090] Epoch: [105] [780/850] eta: 0:01:00 lr: 0.002356 loss: 0.0354 (0.0338) loss_rec_all: 0.0715 (0.0698) loss_rec_sfr: 0.1087 (0.1026) loss_cl: -0.3675 (-0.3672) time: 0.8587 data: 0.0002 max mem: 29859 [01:02:04.081367] Epoch: [105] [800/850] eta: 0:00:43 lr: 0.002356 loss: 0.0352 (0.0338) loss_rec_all: 0.0714 (0.0698) loss_rec_sfr: 0.0982 (0.1026) loss_cl: -0.3676 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [01:02:21.254363] Epoch: [105] [820/850] eta: 0:00:25 lr: 0.002356 loss: 0.0340 (0.0338) loss_rec_all: 0.0701 (0.0698) loss_rec_sfr: 0.0723 (0.1025) loss_cl: -0.3668 (-0.3672) time: 0.8586 data: 0.0002 max mem: 29859 [01:02:38.465369] Epoch: [105] [840/850] eta: 0:00:08 lr: 0.002356 loss: 0.0318 (0.0338) loss_rec_all: 0.0680 (0.0698) loss_rec_sfr: 0.0705 (0.1021) loss_cl: -0.3669 (-0.3672) time: 0.8605 data: 0.0004 max mem: 29859 [01:02:46.186016] Epoch: [105] [849/850] eta: 0:00:00 lr: 0.002356 loss: 0.0318 (0.0338) loss_rec_all: 0.0680 (0.0698) loss_rec_sfr: 0.0837 (0.1021) loss_cl: -0.3669 (-0.3672) time: 0.8598 data: 0.0004 max mem: 29859 [01:02:46.319656] Epoch: [105] Total time: 0:12:14 (0.8638 s / it) [01:02:46.331447] Averaged stats: lr: 0.002356 loss: 0.0318 (0.0338) loss_rec_all: 0.0680 (0.0698) loss_rec_sfr: 0.0837 (0.1013) loss_cl: -0.3669 (-0.3671) [01:02:46.341459] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [01:02:50.632419] Epoch: [106] [ 0/850] eta: 1:00:46 lr: 0.002356 loss: 0.0302 (0.0302) loss_rec_all: 0.0664 (0.0664) loss_rec_sfr: 0.0651 (0.0651) loss_cl: -0.3672 (-0.3672) time: 4.2902 data: 3.0916 max mem: 29859 [01:03:07.811735] Epoch: [106] [ 20/850] eta: 0:14:08 lr: 0.002356 loss: 0.0316 (0.0320) loss_rec_all: 0.0676 (0.0680) loss_rec_sfr: 0.0818 (0.0948) loss_cl: -0.3669 (-0.3669) time: 0.8589 data: 0.0002 max mem: 29859 [01:03:25.032495] Epoch: [106] [ 40/850] eta: 0:12:44 lr: 0.002356 loss: 0.0319 (0.0328) loss_rec_all: 0.0682 (0.0688) loss_rec_sfr: 0.0789 (0.0955) loss_cl: -0.3675 (-0.3671) time: 0.8610 data: 0.0002 max mem: 29859 [01:03:42.237339] Epoch: [106] [ 60/850] eta: 0:12:03 lr: 0.002356 loss: 0.0324 (0.0332) loss_rec_all: 0.0686 (0.0692) loss_rec_sfr: 0.0870 (0.0955) loss_cl: -0.3676 (-0.3673) time: 0.8602 data: 0.0002 max mem: 29859 [01:03:59.468081] Epoch: [106] [ 80/850] eta: 0:11:35 lr: 0.002355 loss: 0.0315 (0.0329) loss_rec_all: 0.0677 (0.0690) loss_rec_sfr: 0.0720 (0.0944) loss_cl: -0.3675 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [01:04:16.669474] Epoch: [106] [100/850] eta: 0:11:10 lr: 0.002355 loss: 0.0319 (0.0332) loss_rec_all: 0.0681 (0.0692) loss_rec_sfr: 0.0887 (0.0952) loss_cl: -0.3667 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [01:04:33.903571] Epoch: [106] [120/850] eta: 0:10:48 lr: 0.002355 loss: 0.0311 (0.0331) loss_rec_all: 0.0673 (0.0691) loss_rec_sfr: 0.0827 (0.0958) loss_cl: -0.3667 (-0.3671) time: 0.8617 data: 0.0002 max mem: 29859 [01:04:51.107291] Epoch: [106] [140/850] eta: 0:10:28 lr: 0.002355 loss: 0.0323 (0.0331) loss_rec_all: 0.0684 (0.0692) loss_rec_sfr: 0.1036 (0.0963) loss_cl: -0.3672 (-0.3671) time: 0.8601 data: 0.0002 max mem: 29859 [01:05:08.317116] Epoch: [106] [160/850] eta: 0:10:08 lr: 0.002355 loss: 0.0307 (0.0329) loss_rec_all: 0.0668 (0.0690) loss_rec_sfr: 0.0694 (0.0956) loss_cl: -0.3675 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [01:05:25.501277] Epoch: [106] [180/850] eta: 0:09:49 lr: 0.002355 loss: 0.0304 (0.0328) loss_rec_all: 0.0662 (0.0689) loss_rec_sfr: 0.1054 (0.0962) loss_cl: -0.3671 (-0.3672) time: 0.8592 data: 0.0002 max mem: 29859 [01:05:42.716079] Epoch: [106] [200/850] eta: 0:09:30 lr: 0.002355 loss: 0.0315 (0.0328) loss_rec_all: 0.0674 (0.0688) loss_rec_sfr: 0.0834 (0.0965) loss_cl: -0.3673 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [01:05:59.903046] Epoch: [106] [220/850] eta: 0:09:11 lr: 0.002355 loss: 0.0357 (0.0332) loss_rec_all: 0.0715 (0.0692) loss_rec_sfr: 0.1102 (0.0980) loss_cl: -0.3670 (-0.3672) time: 0.8593 data: 0.0002 max mem: 29859 [01:06:17.109576] Epoch: [106] [240/850] eta: 0:08:53 lr: 0.002355 loss: 0.0351 (0.0335) loss_rec_all: 0.0711 (0.0695) loss_rec_sfr: 0.0828 (0.0977) loss_cl: -0.3667 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [01:06:34.286900] Epoch: [106] [260/850] eta: 0:08:35 lr: 0.002355 loss: 0.0338 (0.0337) loss_rec_all: 0.0700 (0.0697) loss_rec_sfr: 0.0891 (0.0978) loss_cl: -0.3668 (-0.3671) time: 0.8588 data: 0.0002 max mem: 29859 [01:06:51.498702] Epoch: [106] [280/850] eta: 0:08:17 lr: 0.002355 loss: 0.0329 (0.0338) loss_rec_all: 0.0688 (0.0699) loss_rec_sfr: 0.1053 (0.0980) loss_cl: -0.3672 (-0.3671) time: 0.8605 data: 0.0002 max mem: 29859 [01:07:08.671687] Epoch: [106] [300/850] eta: 0:07:59 lr: 0.002355 loss: 0.0336 (0.0339) loss_rec_all: 0.0699 (0.0699) loss_rec_sfr: 0.1022 (0.0984) loss_cl: -0.3675 (-0.3672) time: 0.8586 data: 0.0002 max mem: 29859 [01:07:25.889604] Epoch: [106] [320/850] eta: 0:07:41 lr: 0.002355 loss: 0.0318 (0.0338) loss_rec_all: 0.0681 (0.0698) loss_rec_sfr: 0.0763 (0.0984) loss_cl: -0.3677 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [01:07:43.066951] Epoch: [106] [340/850] eta: 0:07:23 lr: 0.002355 loss: 0.0330 (0.0337) loss_rec_all: 0.0688 (0.0697) loss_rec_sfr: 0.1196 (0.0991) loss_cl: -0.3675 (-0.3672) time: 0.8588 data: 0.0002 max mem: 29859 [01:08:00.279321] Epoch: [106] [360/850] eta: 0:07:06 lr: 0.002355 loss: 0.0333 (0.0337) loss_rec_all: 0.0692 (0.0697) loss_rec_sfr: 0.0872 (0.0993) loss_cl: -0.3676 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [01:08:17.447904] Epoch: [106] [380/850] eta: 0:06:48 lr: 0.002355 loss: 0.0327 (0.0337) loss_rec_all: 0.0686 (0.0697) loss_rec_sfr: 0.1097 (0.1000) loss_cl: -0.3677 (-0.3673) time: 0.8584 data: 0.0002 max mem: 29859 [01:08:34.661225] Epoch: [106] [400/850] eta: 0:06:30 lr: 0.002355 loss: 0.0340 (0.0337) loss_rec_all: 0.0698 (0.0697) loss_rec_sfr: 0.1022 (0.1001) loss_cl: -0.3675 (-0.3673) time: 0.8606 data: 0.0002 max mem: 29859 [01:08:51.833958] Epoch: [106] [420/850] eta: 0:06:13 lr: 0.002355 loss: 0.0330 (0.0337) loss_rec_all: 0.0692 (0.0697) loss_rec_sfr: 0.0877 (0.1001) loss_cl: -0.3677 (-0.3673) time: 0.8586 data: 0.0002 max mem: 29859 [01:09:09.047225] Epoch: [106] [440/850] eta: 0:05:55 lr: 0.002355 loss: 0.0341 (0.0337) loss_rec_all: 0.0701 (0.0697) loss_rec_sfr: 0.1040 (0.1003) loss_cl: -0.3669 (-0.3673) time: 0.8606 data: 0.0002 max mem: 29859 [01:09:26.221290] Epoch: [106] [460/850] eta: 0:05:38 lr: 0.002355 loss: 0.0329 (0.0337) loss_rec_all: 0.0691 (0.0698) loss_rec_sfr: 0.1122 (0.1009) loss_cl: -0.3665 (-0.3672) time: 0.8587 data: 0.0002 max mem: 29859 [01:09:43.443953] Epoch: [106] [480/850] eta: 0:05:20 lr: 0.002355 loss: 0.0343 (0.0338) loss_rec_all: 0.0704 (0.0698) loss_rec_sfr: 0.1089 (0.1013) loss_cl: -0.3670 (-0.3672) time: 0.8611 data: 0.0002 max mem: 29859 [01:10:00.625064] Epoch: [106] [500/850] eta: 0:05:03 lr: 0.002355 loss: 0.0329 (0.0338) loss_rec_all: 0.0686 (0.0698) loss_rec_sfr: 0.1010 (0.1014) loss_cl: -0.3677 (-0.3672) time: 0.8590 data: 0.0002 max mem: 29859 [01:10:17.847643] Epoch: [106] [520/850] eta: 0:04:45 lr: 0.002355 loss: 0.0306 (0.0337) loss_rec_all: 0.0669 (0.0697) loss_rec_sfr: 0.0793 (0.1009) loss_cl: -0.3680 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [01:10:35.023797] Epoch: [106] [540/850] eta: 0:04:28 lr: 0.002355 loss: 0.0324 (0.0337) loss_rec_all: 0.0684 (0.0697) loss_rec_sfr: 0.1080 (0.1011) loss_cl: -0.3681 (-0.3673) time: 0.8588 data: 0.0002 max mem: 29859 [01:10:52.245247] Epoch: [106] [560/850] eta: 0:04:11 lr: 0.002355 loss: 0.0313 (0.0336) loss_rec_all: 0.0671 (0.0697) loss_rec_sfr: 0.0822 (0.1010) loss_cl: -0.3672 (-0.3673) time: 0.8610 data: 0.0002 max mem: 29859 [01:11:09.419106] Epoch: [106] [580/850] eta: 0:03:53 lr: 0.002355 loss: 0.0316 (0.0336) loss_rec_all: 0.0675 (0.0696) loss_rec_sfr: 0.1055 (0.1009) loss_cl: -0.3667 (-0.3673) time: 0.8586 data: 0.0002 max mem: 29859 [01:11:26.641382] Epoch: [106] [600/850] eta: 0:03:36 lr: 0.002355 loss: 0.0326 (0.0336) loss_rec_all: 0.0687 (0.0696) loss_rec_sfr: 0.1061 (0.1012) loss_cl: -0.3661 (-0.3672) time: 0.8611 data: 0.0002 max mem: 29859 [01:11:43.818401] Epoch: [106] [620/850] eta: 0:03:19 lr: 0.002355 loss: 0.0338 (0.0337) loss_rec_all: 0.0698 (0.0697) loss_rec_sfr: 0.0798 (0.1010) loss_cl: -0.3661 (-0.3672) time: 0.8588 data: 0.0002 max mem: 29859 [01:12:01.033952] Epoch: [106] [640/850] eta: 0:03:01 lr: 0.002355 loss: 0.0348 (0.0337) loss_rec_all: 0.0709 (0.0697) loss_rec_sfr: 0.0873 (0.1008) loss_cl: -0.3664 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [01:12:18.209091] Epoch: [106] [660/850] eta: 0:02:44 lr: 0.002355 loss: 0.0371 (0.0338) loss_rec_all: 0.0733 (0.0699) loss_rec_sfr: 0.1114 (0.1010) loss_cl: -0.3672 (-0.3672) time: 0.8587 data: 0.0002 max mem: 29859 [01:12:35.425317] Epoch: [106] [680/850] eta: 0:02:27 lr: 0.002355 loss: 0.0369 (0.0340) loss_rec_all: 0.0730 (0.0700) loss_rec_sfr: 0.1171 (0.1015) loss_cl: -0.3677 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [01:12:52.611715] Epoch: [106] [700/850] eta: 0:02:09 lr: 0.002355 loss: 0.0355 (0.0340) loss_rec_all: 0.0711 (0.0700) loss_rec_sfr: 0.1125 (0.1017) loss_cl: -0.3675 (-0.3672) time: 0.8593 data: 0.0002 max mem: 29859 [01:13:09.824732] Epoch: [106] [720/850] eta: 0:01:52 lr: 0.002354 loss: 0.0351 (0.0341) loss_rec_all: 0.0711 (0.0701) loss_rec_sfr: 0.1134 (0.1020) loss_cl: -0.3672 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [01:13:27.002175] Epoch: [106] [740/850] eta: 0:01:35 lr: 0.002354 loss: 0.0341 (0.0341) loss_rec_all: 0.0702 (0.0701) loss_rec_sfr: 0.0777 (0.1016) loss_cl: -0.3670 (-0.3672) time: 0.8588 data: 0.0002 max mem: 29859 [01:13:44.211640] Epoch: [106] [760/850] eta: 0:01:17 lr: 0.002354 loss: 0.0324 (0.0341) loss_rec_all: 0.0683 (0.0701) loss_rec_sfr: 0.0812 (0.1015) loss_cl: -0.3671 (-0.3672) time: 0.8604 data: 0.0001 max mem: 29859 [01:14:01.399321] Epoch: [106] [780/850] eta: 0:01:00 lr: 0.002354 loss: 0.0324 (0.0340) loss_rec_all: 0.0681 (0.0700) loss_rec_sfr: 0.1069 (0.1015) loss_cl: -0.3676 (-0.3672) time: 0.8593 data: 0.0002 max mem: 29859 [01:14:18.619810] Epoch: [106] [800/850] eta: 0:00:43 lr: 0.002354 loss: 0.0330 (0.0340) loss_rec_all: 0.0693 (0.0700) loss_rec_sfr: 0.0817 (0.1016) loss_cl: -0.3681 (-0.3672) time: 0.8610 data: 0.0002 max mem: 29859 [01:14:35.805902] Epoch: [106] [820/850] eta: 0:00:25 lr: 0.002354 loss: 0.0310 (0.0340) loss_rec_all: 0.0673 (0.0700) loss_rec_sfr: 0.0777 (0.1013) loss_cl: -0.3676 (-0.3672) time: 0.8593 data: 0.0002 max mem: 29859 [01:14:53.025057] Epoch: [106] [840/850] eta: 0:00:08 lr: 0.002354 loss: 0.0297 (0.0339) loss_rec_all: 0.0660 (0.0699) loss_rec_sfr: 0.0784 (0.1011) loss_cl: -0.3670 (-0.3672) time: 0.8609 data: 0.0004 max mem: 29859 [01:15:00.758868] Epoch: [106] [849/850] eta: 0:00:00 lr: 0.002354 loss: 0.0300 (0.0339) loss_rec_all: 0.0660 (0.0699) loss_rec_sfr: 0.0784 (0.1011) loss_cl: -0.3671 (-0.3672) time: 0.8609 data: 0.0004 max mem: 29859 [01:15:00.890329] Epoch: [106] Total time: 0:12:14 (0.8642 s / it) [01:15:00.894617] Averaged stats: lr: 0.002354 loss: 0.0300 (0.0339) loss_rec_all: 0.0660 (0.0699) loss_rec_sfr: 0.0784 (0.1015) loss_cl: -0.3671 (-0.3672) [01:15:00.906039] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [01:15:05.078142] Epoch: [107] [ 0/850] eta: 0:59:05 lr: 0.002354 loss: 0.0275 (0.0275) loss_rec_all: 0.0638 (0.0638) loss_rec_sfr: 0.0609 (0.0609) loss_cl: -0.3669 (-0.3669) time: 4.1713 data: 2.9753 max mem: 29859 [01:15:22.256302] Epoch: [107] [ 20/850] eta: 0:14:03 lr: 0.002354 loss: 0.0304 (0.0314) loss_rec_all: 0.0666 (0.0675) loss_rec_sfr: 0.0793 (0.0907) loss_cl: -0.3669 (-0.3671) time: 0.8589 data: 0.0001 max mem: 29859 [01:15:39.507740] Epoch: [107] [ 40/850] eta: 0:12:42 lr: 0.002354 loss: 0.0322 (0.0322) loss_rec_all: 0.0684 (0.0683) loss_rec_sfr: 0.0746 (0.0884) loss_cl: -0.3670 (-0.3671) time: 0.8625 data: 0.0002 max mem: 29859 [01:15:56.706361] Epoch: [107] [ 60/850] eta: 0:12:02 lr: 0.002354 loss: 0.0313 (0.0324) loss_rec_all: 0.0674 (0.0685) loss_rec_sfr: 0.0753 (0.0890) loss_cl: -0.3668 (-0.3671) time: 0.8599 data: 0.0002 max mem: 29859 [01:16:13.945236] Epoch: [107] [ 80/850] eta: 0:11:34 lr: 0.002354 loss: 0.0328 (0.0325) loss_rec_all: 0.0689 (0.0685) loss_rec_sfr: 0.0821 (0.0919) loss_cl: -0.3664 (-0.3669) time: 0.8619 data: 0.0002 max mem: 29859 [01:16:31.157686] Epoch: [107] [100/850] eta: 0:11:10 lr: 0.002354 loss: 0.0330 (0.0327) loss_rec_all: 0.0688 (0.0687) loss_rec_sfr: 0.1048 (0.0938) loss_cl: -0.3663 (-0.3668) time: 0.8606 data: 0.0002 max mem: 29859 [01:16:48.403056] Epoch: [107] [120/850] eta: 0:10:48 lr: 0.002354 loss: 0.0314 (0.0327) loss_rec_all: 0.0676 (0.0687) loss_rec_sfr: 0.0724 (0.0940) loss_cl: -0.3672 (-0.3669) time: 0.8622 data: 0.0002 max mem: 29859 [01:17:05.617459] Epoch: [107] [140/850] eta: 0:10:27 lr: 0.002354 loss: 0.0324 (0.0328) loss_rec_all: 0.0687 (0.0689) loss_rec_sfr: 0.0976 (0.0943) loss_cl: -0.3678 (-0.3670) time: 0.8607 data: 0.0002 max mem: 29859 [01:17:22.865597] Epoch: [107] [160/850] eta: 0:10:08 lr: 0.002354 loss: 0.0325 (0.0329) loss_rec_all: 0.0687 (0.0690) loss_rec_sfr: 0.0839 (0.0947) loss_cl: -0.3671 (-0.3670) time: 0.8624 data: 0.0002 max mem: 29859 [01:17:40.084018] Epoch: [107] [180/850] eta: 0:09:49 lr: 0.002354 loss: 0.0327 (0.0331) loss_rec_all: 0.0688 (0.0691) loss_rec_sfr: 0.0886 (0.0955) loss_cl: -0.3675 (-0.3671) time: 0.8609 data: 0.0002 max mem: 29859 [01:17:57.328444] Epoch: [107] [200/850] eta: 0:09:30 lr: 0.002354 loss: 0.0338 (0.0332) loss_rec_all: 0.0694 (0.0693) loss_rec_sfr: 0.1128 (0.0970) loss_cl: -0.3673 (-0.3671) time: 0.8622 data: 0.0002 max mem: 29859 [01:18:14.538620] Epoch: [107] [220/850] eta: 0:09:11 lr: 0.002354 loss: 0.0323 (0.0332) loss_rec_all: 0.0681 (0.0692) loss_rec_sfr: 0.1026 (0.0975) loss_cl: -0.3671 (-0.3671) time: 0.8605 data: 0.0002 max mem: 29859 [01:18:31.781154] Epoch: [107] [240/850] eta: 0:08:53 lr: 0.002354 loss: 0.0309 (0.0331) loss_rec_all: 0.0671 (0.0691) loss_rec_sfr: 0.0791 (0.0977) loss_cl: -0.3668 (-0.3670) time: 0.8621 data: 0.0002 max mem: 29859 [01:18:49.014561] Epoch: [107] [260/850] eta: 0:08:35 lr: 0.002354 loss: 0.0316 (0.0330) loss_rec_all: 0.0673 (0.0691) loss_rec_sfr: 0.1013 (0.0979) loss_cl: -0.3666 (-0.3670) time: 0.8616 data: 0.0002 max mem: 29859 [01:19:06.260911] Epoch: [107] [280/850] eta: 0:08:17 lr: 0.002354 loss: 0.0304 (0.0329) loss_rec_all: 0.0662 (0.0689) loss_rec_sfr: 0.0774 (0.0978) loss_cl: -0.3673 (-0.3670) time: 0.8623 data: 0.0002 max mem: 29859 [01:19:23.473038] Epoch: [107] [300/850] eta: 0:07:59 lr: 0.002354 loss: 0.0313 (0.0328) loss_rec_all: 0.0674 (0.0689) loss_rec_sfr: 0.1101 (0.0985) loss_cl: -0.3677 (-0.3671) time: 0.8606 data: 0.0002 max mem: 29859 [01:19:40.731890] Epoch: [107] [320/850] eta: 0:07:41 lr: 0.002354 loss: 0.0312 (0.0328) loss_rec_all: 0.0675 (0.0688) loss_rec_sfr: 0.0725 (0.0977) loss_cl: -0.3675 (-0.3671) time: 0.8629 data: 0.0002 max mem: 29859 [01:19:57.944738] Epoch: [107] [340/850] eta: 0:07:24 lr: 0.002354 loss: 0.0337 (0.0329) loss_rec_all: 0.0694 (0.0689) loss_rec_sfr: 0.1139 (0.0986) loss_cl: -0.3675 (-0.3671) time: 0.8606 data: 0.0002 max mem: 29859 [01:20:15.266518] Epoch: [107] [360/850] eta: 0:07:06 lr: 0.002354 loss: 0.0351 (0.0330) loss_rec_all: 0.0709 (0.0691) loss_rec_sfr: 0.1237 (0.0994) loss_cl: -0.3671 (-0.3671) time: 0.8660 data: 0.0003 max mem: 29859 [01:20:32.480768] Epoch: [107] [380/850] eta: 0:06:49 lr: 0.002354 loss: 0.0382 (0.0333) loss_rec_all: 0.0739 (0.0693) loss_rec_sfr: 0.1438 (0.1009) loss_cl: -0.3676 (-0.3671) time: 0.8607 data: 0.0002 max mem: 29859 [01:20:49.730198] Epoch: [107] [400/850] eta: 0:06:31 lr: 0.002354 loss: 0.0352 (0.0334) loss_rec_all: 0.0710 (0.0694) loss_rec_sfr: 0.0813 (0.1009) loss_cl: -0.3680 (-0.3672) time: 0.8624 data: 0.0001 max mem: 29859 [01:21:06.986416] Epoch: [107] [420/850] eta: 0:06:13 lr: 0.002354 loss: 0.0342 (0.0335) loss_rec_all: 0.0702 (0.0695) loss_rec_sfr: 0.0795 (0.1008) loss_cl: -0.3676 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [01:21:24.231385] Epoch: [107] [440/850] eta: 0:05:56 lr: 0.002354 loss: 0.0322 (0.0335) loss_rec_all: 0.0685 (0.0695) loss_rec_sfr: 0.0841 (0.1006) loss_cl: -0.3676 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [01:21:41.431412] Epoch: [107] [460/850] eta: 0:05:38 lr: 0.002354 loss: 0.0322 (0.0335) loss_rec_all: 0.0682 (0.0695) loss_rec_sfr: 0.1052 (0.1007) loss_cl: -0.3673 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [01:21:58.725729] Epoch: [107] [480/850] eta: 0:05:21 lr: 0.002354 loss: 0.0328 (0.0335) loss_rec_all: 0.0688 (0.0695) loss_rec_sfr: 0.1126 (0.1011) loss_cl: -0.3668 (-0.3672) time: 0.8646 data: 0.0002 max mem: 29859 [01:22:15.934691] Epoch: [107] [500/850] eta: 0:05:03 lr: 0.002353 loss: 0.0319 (0.0334) loss_rec_all: 0.0680 (0.0695) loss_rec_sfr: 0.0824 (0.1009) loss_cl: -0.3668 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [01:22:33.221556] Epoch: [107] [520/850] eta: 0:04:46 lr: 0.002353 loss: 0.0316 (0.0334) loss_rec_all: 0.0674 (0.0694) loss_rec_sfr: 0.0993 (0.1008) loss_cl: -0.3666 (-0.3671) time: 0.8643 data: 0.0002 max mem: 29859 [01:22:50.449802] Epoch: [107] [540/850] eta: 0:04:29 lr: 0.002353 loss: 0.0334 (0.0334) loss_rec_all: 0.0694 (0.0694) loss_rec_sfr: 0.0911 (0.1009) loss_cl: -0.3670 (-0.3671) time: 0.8614 data: 0.0002 max mem: 29859 [01:23:07.691124] Epoch: [107] [560/850] eta: 0:04:11 lr: 0.002353 loss: 0.0314 (0.0334) loss_rec_all: 0.0675 (0.0694) loss_rec_sfr: 0.0792 (0.1009) loss_cl: -0.3675 (-0.3671) time: 0.8620 data: 0.0002 max mem: 29859 [01:23:24.951498] Epoch: [107] [580/850] eta: 0:03:54 lr: 0.002353 loss: 0.0328 (0.0334) loss_rec_all: 0.0686 (0.0694) loss_rec_sfr: 0.0851 (0.1008) loss_cl: -0.3676 (-0.3671) time: 0.8630 data: 0.0003 max mem: 29859 [01:23:42.202285] Epoch: [107] [600/850] eta: 0:03:36 lr: 0.002353 loss: 0.0330 (0.0334) loss_rec_all: 0.0693 (0.0694) loss_rec_sfr: 0.0814 (0.1007) loss_cl: -0.3679 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [01:23:59.411828] Epoch: [107] [620/850] eta: 0:03:19 lr: 0.002353 loss: 0.0340 (0.0335) loss_rec_all: 0.0701 (0.0695) loss_rec_sfr: 0.1051 (0.1008) loss_cl: -0.3680 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [01:24:16.728929] Epoch: [107] [640/850] eta: 0:03:02 lr: 0.002353 loss: 0.0353 (0.0336) loss_rec_all: 0.0713 (0.0696) loss_rec_sfr: 0.1097 (0.1012) loss_cl: -0.3676 (-0.3672) time: 0.8658 data: 0.0003 max mem: 29859 [01:24:33.915890] Epoch: [107] [660/850] eta: 0:02:44 lr: 0.002353 loss: 0.0332 (0.0336) loss_rec_all: 0.0690 (0.0696) loss_rec_sfr: 0.1249 (0.1018) loss_cl: -0.3670 (-0.3672) time: 0.8593 data: 0.0002 max mem: 29859 [01:24:51.190163] Epoch: [107] [680/850] eta: 0:02:27 lr: 0.002353 loss: 0.0302 (0.0335) loss_rec_all: 0.0664 (0.0695) loss_rec_sfr: 0.0687 (0.1015) loss_cl: -0.3667 (-0.3672) time: 0.8636 data: 0.0002 max mem: 29859 [01:25:08.417277] Epoch: [107] [700/850] eta: 0:02:09 lr: 0.002353 loss: 0.0316 (0.0335) loss_rec_all: 0.0678 (0.0695) loss_rec_sfr: 0.0808 (0.1013) loss_cl: -0.3668 (-0.3672) time: 0.8613 data: 0.0002 max mem: 29859 [01:25:25.673059] Epoch: [107] [720/850] eta: 0:01:52 lr: 0.002353 loss: 0.0324 (0.0335) loss_rec_all: 0.0682 (0.0695) loss_rec_sfr: 0.1120 (0.1016) loss_cl: -0.3670 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [01:25:42.940055] Epoch: [107] [740/850] eta: 0:01:35 lr: 0.002353 loss: 0.0344 (0.0335) loss_rec_all: 0.0700 (0.0695) loss_rec_sfr: 0.1081 (0.1017) loss_cl: -0.3671 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [01:26:00.217489] Epoch: [107] [760/850] eta: 0:01:17 lr: 0.002353 loss: 0.0332 (0.0336) loss_rec_all: 0.0689 (0.0696) loss_rec_sfr: 0.1122 (0.1018) loss_cl: -0.3679 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [01:26:17.430284] Epoch: [107] [780/850] eta: 0:01:00 lr: 0.002353 loss: 0.0324 (0.0336) loss_rec_all: 0.0687 (0.0696) loss_rec_sfr: 0.0834 (0.1018) loss_cl: -0.3682 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [01:26:34.743051] Epoch: [107] [800/850] eta: 0:00:43 lr: 0.002353 loss: 0.0332 (0.0336) loss_rec_all: 0.0693 (0.0696) loss_rec_sfr: 0.1093 (0.1018) loss_cl: -0.3674 (-0.3672) time: 0.8656 data: 0.0003 max mem: 29859 [01:26:51.968042] Epoch: [107] [820/850] eta: 0:00:25 lr: 0.002353 loss: 0.0320 (0.0336) loss_rec_all: 0.0682 (0.0696) loss_rec_sfr: 0.0779 (0.1015) loss_cl: -0.3668 (-0.3672) time: 0.8612 data: 0.0002 max mem: 29859 [01:27:09.220828] Epoch: [107] [840/850] eta: 0:00:08 lr: 0.002353 loss: 0.0316 (0.0335) loss_rec_all: 0.0677 (0.0695) loss_rec_sfr: 0.0831 (0.1015) loss_cl: -0.3673 (-0.3672) time: 0.8626 data: 0.0004 max mem: 29859 [01:27:17.002424] Epoch: [107] [849/850] eta: 0:00:00 lr: 0.002353 loss: 0.0304 (0.0335) loss_rec_all: 0.0667 (0.0695) loss_rec_sfr: 0.0774 (0.1014) loss_cl: -0.3674 (-0.3672) time: 0.8641 data: 0.0004 max mem: 29859 [01:27:17.157902] Epoch: [107] Total time: 0:12:16 (0.8662 s / it) [01:27:17.166885] Averaged stats: lr: 0.002353 loss: 0.0304 (0.0335) loss_rec_all: 0.0667 (0.0695) loss_rec_sfr: 0.0774 (0.1011) loss_cl: -0.3674 (-0.3672) [01:27:17.181265] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [01:27:21.798562] Epoch: [108] [ 0/850] eta: 1:05:24 lr: 0.002353 loss: 0.0281 (0.0281) loss_rec_all: 0.0642 (0.0642) loss_rec_sfr: 0.0798 (0.0798) loss_cl: -0.3667 (-0.3667) time: 4.6167 data: 3.3918 max mem: 29859 [01:27:38.986029] Epoch: [108] [ 20/850] eta: 0:14:21 lr: 0.002353 loss: 0.0297 (0.0300) loss_rec_all: 0.0659 (0.0661) loss_rec_sfr: 0.0790 (0.0936) loss_cl: -0.3670 (-0.3671) time: 0.8593 data: 0.0002 max mem: 29859 [01:27:56.236195] Epoch: [108] [ 40/850] eta: 0:12:51 lr: 0.002353 loss: 0.0314 (0.0311) loss_rec_all: 0.0674 (0.0671) loss_rec_sfr: 0.0864 (0.0948) loss_cl: -0.3672 (-0.3671) time: 0.8625 data: 0.0002 max mem: 29859 [01:28:13.507150] Epoch: [108] [ 60/850] eta: 0:12:09 lr: 0.002353 loss: 0.0297 (0.0311) loss_rec_all: 0.0658 (0.0671) loss_rec_sfr: 0.0739 (0.0944) loss_cl: -0.3674 (-0.3671) time: 0.8635 data: 0.0003 max mem: 29859 [01:28:30.753597] Epoch: [108] [ 80/850] eta: 0:11:39 lr: 0.002353 loss: 0.0311 (0.0314) loss_rec_all: 0.0669 (0.0674) loss_rec_sfr: 0.1049 (0.0960) loss_cl: -0.3675 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [01:28:48.003540] Epoch: [108] [100/850] eta: 0:11:14 lr: 0.002353 loss: 0.0321 (0.0318) loss_rec_all: 0.0684 (0.0678) loss_rec_sfr: 0.0808 (0.0942) loss_cl: -0.3676 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [01:29:05.300607] Epoch: [108] [120/850] eta: 0:10:52 lr: 0.002353 loss: 0.0332 (0.0321) loss_rec_all: 0.0690 (0.0681) loss_rec_sfr: 0.1111 (0.0974) loss_cl: -0.3674 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [01:29:22.514102] Epoch: [108] [140/850] eta: 0:10:31 lr: 0.002353 loss: 0.0317 (0.0322) loss_rec_all: 0.0677 (0.0682) loss_rec_sfr: 0.0803 (0.0980) loss_cl: -0.3669 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [01:29:39.831187] Epoch: [108] [160/850] eta: 0:10:11 lr: 0.002353 loss: 0.0310 (0.0322) loss_rec_all: 0.0673 (0.0682) loss_rec_sfr: 0.0776 (0.0985) loss_cl: -0.3674 (-0.3672) time: 0.8658 data: 0.0002 max mem: 29859 [01:29:57.050100] Epoch: [108] [180/850] eta: 0:09:51 lr: 0.002353 loss: 0.0308 (0.0322) loss_rec_all: 0.0669 (0.0682) loss_rec_sfr: 0.0809 (0.0981) loss_cl: -0.3675 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [01:30:14.299901] Epoch: [108] [200/850] eta: 0:09:32 lr: 0.002353 loss: 0.0320 (0.0322) loss_rec_all: 0.0681 (0.0682) loss_rec_sfr: 0.0872 (0.0992) loss_cl: -0.3674 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [01:30:31.581601] Epoch: [108] [220/850] eta: 0:09:14 lr: 0.002353 loss: 0.0320 (0.0323) loss_rec_all: 0.0681 (0.0684) loss_rec_sfr: 0.1053 (0.1003) loss_cl: -0.3674 (-0.3673) time: 0.8640 data: 0.0003 max mem: 29859 [01:30:48.833993] Epoch: [108] [240/850] eta: 0:08:55 lr: 0.002353 loss: 0.0304 (0.0323) loss_rec_all: 0.0663 (0.0683) loss_rec_sfr: 0.1055 (0.1006) loss_cl: -0.3667 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [01:31:06.052816] Epoch: [108] [260/850] eta: 0:08:37 lr: 0.002352 loss: 0.0320 (0.0323) loss_rec_all: 0.0677 (0.0684) loss_rec_sfr: 0.0938 (0.1004) loss_cl: -0.3663 (-0.3671) time: 0.8609 data: 0.0002 max mem: 29859 [01:31:23.364940] Epoch: [108] [280/850] eta: 0:08:19 lr: 0.002352 loss: 0.0324 (0.0323) loss_rec_all: 0.0686 (0.0684) loss_rec_sfr: 0.0757 (0.0998) loss_cl: -0.3663 (-0.3671) time: 0.8656 data: 0.0002 max mem: 29859 [01:31:40.580885] Epoch: [108] [300/850] eta: 0:08:01 lr: 0.002352 loss: 0.0313 (0.0324) loss_rec_all: 0.0675 (0.0684) loss_rec_sfr: 0.0808 (0.0995) loss_cl: -0.3670 (-0.3671) time: 0.8607 data: 0.0002 max mem: 29859 [01:31:57.859859] Epoch: [108] [320/850] eta: 0:07:43 lr: 0.002352 loss: 0.0329 (0.0325) loss_rec_all: 0.0691 (0.0685) loss_rec_sfr: 0.0914 (0.0997) loss_cl: -0.3670 (-0.3671) time: 0.8639 data: 0.0002 max mem: 29859 [01:32:15.105188] Epoch: [108] [340/850] eta: 0:07:25 lr: 0.002352 loss: 0.0346 (0.0327) loss_rec_all: 0.0709 (0.0687) loss_rec_sfr: 0.1133 (0.1002) loss_cl: -0.3674 (-0.3671) time: 0.8622 data: 0.0002 max mem: 29859 [01:32:32.375481] Epoch: [108] [360/850] eta: 0:07:07 lr: 0.002352 loss: 0.0341 (0.0328) loss_rec_all: 0.0702 (0.0689) loss_rec_sfr: 0.1216 (0.1008) loss_cl: -0.3674 (-0.3671) time: 0.8635 data: 0.0002 max mem: 29859 [01:32:49.675513] Epoch: [108] [380/850] eta: 0:06:50 lr: 0.002352 loss: 0.0342 (0.0329) loss_rec_all: 0.0705 (0.0690) loss_rec_sfr: 0.0790 (0.1007) loss_cl: -0.3676 (-0.3671) time: 0.8649 data: 0.0004 max mem: 29859 [01:33:06.934901] Epoch: [108] [400/850] eta: 0:06:32 lr: 0.002352 loss: 0.0334 (0.0330) loss_rec_all: 0.0696 (0.0690) loss_rec_sfr: 0.1053 (0.1011) loss_cl: -0.3675 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [01:33:24.135296] Epoch: [108] [420/850] eta: 0:06:14 lr: 0.002352 loss: 0.0318 (0.0330) loss_rec_all: 0.0678 (0.0690) loss_rec_sfr: 0.0877 (0.1011) loss_cl: -0.3670 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [01:33:41.456595] Epoch: [108] [440/850] eta: 0:05:57 lr: 0.002352 loss: 0.0306 (0.0329) loss_rec_all: 0.0667 (0.0689) loss_rec_sfr: 0.0810 (0.1010) loss_cl: -0.3666 (-0.3671) time: 0.8660 data: 0.0003 max mem: 29859 [01:33:58.662567] Epoch: [108] [460/850] eta: 0:05:39 lr: 0.002352 loss: 0.0325 (0.0329) loss_rec_all: 0.0683 (0.0689) loss_rec_sfr: 0.1059 (0.1014) loss_cl: -0.3677 (-0.3671) time: 0.8603 data: 0.0002 max mem: 29859 [01:34:15.923990] Epoch: [108] [480/850] eta: 0:05:22 lr: 0.002352 loss: 0.0315 (0.0329) loss_rec_all: 0.0673 (0.0689) loss_rec_sfr: 0.0991 (0.1014) loss_cl: -0.3670 (-0.3671) time: 0.8630 data: 0.0002 max mem: 29859 [01:34:33.154144] Epoch: [108] [500/850] eta: 0:05:04 lr: 0.002352 loss: 0.0304 (0.0328) loss_rec_all: 0.0665 (0.0688) loss_rec_sfr: 0.1066 (0.1015) loss_cl: -0.3674 (-0.3671) time: 0.8615 data: 0.0002 max mem: 29859 [01:34:50.388657] Epoch: [108] [520/850] eta: 0:04:47 lr: 0.002352 loss: 0.0320 (0.0328) loss_rec_all: 0.0681 (0.0688) loss_rec_sfr: 0.0973 (0.1014) loss_cl: -0.3671 (-0.3671) time: 0.8617 data: 0.0002 max mem: 29859 [01:35:07.615924] Epoch: [108] [540/850] eta: 0:04:29 lr: 0.002352 loss: 0.0326 (0.0329) loss_rec_all: 0.0685 (0.0689) loss_rec_sfr: 0.0789 (0.1011) loss_cl: -0.3670 (-0.3671) time: 0.8613 data: 0.0002 max mem: 29859 [01:35:24.890265] Epoch: [108] [560/850] eta: 0:04:12 lr: 0.002352 loss: 0.0326 (0.0329) loss_rec_all: 0.0687 (0.0689) loss_rec_sfr: 0.0878 (0.1011) loss_cl: -0.3675 (-0.3671) time: 0.8637 data: 0.0002 max mem: 29859 [01:35:42.093452] Epoch: [108] [580/850] eta: 0:03:54 lr: 0.002352 loss: 0.0314 (0.0329) loss_rec_all: 0.0677 (0.0690) loss_rec_sfr: 0.0838 (0.1011) loss_cl: -0.3675 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [01:35:59.394360] Epoch: [108] [600/850] eta: 0:03:37 lr: 0.002352 loss: 0.0295 (0.0329) loss_rec_all: 0.0656 (0.0689) loss_rec_sfr: 0.0680 (0.1008) loss_cl: -0.3673 (-0.3672) time: 0.8650 data: 0.0002 max mem: 29859 [01:36:16.671944] Epoch: [108] [620/850] eta: 0:03:19 lr: 0.002352 loss: 0.0292 (0.0328) loss_rec_all: 0.0654 (0.0688) loss_rec_sfr: 0.0693 (0.1004) loss_cl: -0.3671 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [01:36:33.916881] Epoch: [108] [640/850] eta: 0:03:02 lr: 0.002352 loss: 0.0314 (0.0328) loss_rec_all: 0.0675 (0.0688) loss_rec_sfr: 0.0816 (0.1002) loss_cl: -0.3672 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [01:36:51.200066] Epoch: [108] [660/850] eta: 0:02:44 lr: 0.002352 loss: 0.0322 (0.0327) loss_rec_all: 0.0679 (0.0688) loss_rec_sfr: 0.0926 (0.1002) loss_cl: -0.3677 (-0.3672) time: 0.8641 data: 0.0003 max mem: 29859 [01:37:08.425535] Epoch: [108] [680/850] eta: 0:02:27 lr: 0.002352 loss: 0.0325 (0.0328) loss_rec_all: 0.0685 (0.0688) loss_rec_sfr: 0.1067 (0.1005) loss_cl: -0.3676 (-0.3672) time: 0.8612 data: 0.0002 max mem: 29859 [01:37:25.642151] Epoch: [108] [700/850] eta: 0:02:10 lr: 0.002352 loss: 0.0332 (0.0328) loss_rec_all: 0.0692 (0.0688) loss_rec_sfr: 0.0932 (0.1007) loss_cl: -0.3663 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [01:37:42.915803] Epoch: [108] [720/850] eta: 0:01:52 lr: 0.002352 loss: 0.0344 (0.0329) loss_rec_all: 0.0706 (0.0689) loss_rec_sfr: 0.0873 (0.1008) loss_cl: -0.3666 (-0.3671) time: 0.8636 data: 0.0002 max mem: 29859 [01:38:00.115992] Epoch: [108] [740/850] eta: 0:01:35 lr: 0.002352 loss: 0.0312 (0.0329) loss_rec_all: 0.0673 (0.0689) loss_rec_sfr: 0.0835 (0.1008) loss_cl: -0.3676 (-0.3671) time: 0.8600 data: 0.0002 max mem: 29859 [01:38:17.405388] Epoch: [108] [760/850] eta: 0:01:18 lr: 0.002352 loss: 0.0318 (0.0329) loss_rec_all: 0.0681 (0.0689) loss_rec_sfr: 0.1094 (0.1010) loss_cl: -0.3677 (-0.3671) time: 0.8644 data: 0.0002 max mem: 29859 [01:38:34.610502] Epoch: [108] [780/850] eta: 0:01:00 lr: 0.002352 loss: 0.0309 (0.0328) loss_rec_all: 0.0669 (0.0689) loss_rec_sfr: 0.0716 (0.1007) loss_cl: -0.3675 (-0.3671) time: 0.8602 data: 0.0002 max mem: 29859 [01:38:51.866052] Epoch: [108] [800/850] eta: 0:00:43 lr: 0.002352 loss: 0.0317 (0.0329) loss_rec_all: 0.0682 (0.0689) loss_rec_sfr: 0.1085 (0.1007) loss_cl: -0.3686 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [01:39:09.121439] Epoch: [108] [820/850] eta: 0:00:26 lr: 0.002352 loss: 0.0336 (0.0329) loss_rec_all: 0.0695 (0.0689) loss_rec_sfr: 0.1048 (0.1009) loss_cl: -0.3688 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [01:39:26.354422] Epoch: [108] [840/850] eta: 0:00:08 lr: 0.002352 loss: 0.0351 (0.0330) loss_rec_all: 0.0710 (0.0690) loss_rec_sfr: 0.1120 (0.1010) loss_cl: -0.3681 (-0.3672) time: 0.8616 data: 0.0004 max mem: 29859 [01:39:34.093764] Epoch: [108] [849/850] eta: 0:00:00 lr: 0.002352 loss: 0.0342 (0.0330) loss_rec_all: 0.0703 (0.0690) loss_rec_sfr: 0.1049 (0.1010) loss_cl: -0.3674 (-0.3672) time: 0.8615 data: 0.0003 max mem: 29859 [01:39:34.265404] Epoch: [108] Total time: 0:12:17 (0.8672 s / it) [01:39:34.268508] Averaged stats: lr: 0.002352 loss: 0.0342 (0.0331) loss_rec_all: 0.0703 (0.0691) loss_rec_sfr: 0.1049 (0.1006) loss_cl: -0.3674 (-0.3672) [01:39:34.280422] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [01:39:38.561035] Epoch: [109] [ 0/850] eta: 1:00:37 lr: 0.002352 loss: 0.0343 (0.0343) loss_rec_all: 0.0700 (0.0700) loss_rec_sfr: 0.1495 (0.1495) loss_cl: -0.3673 (-0.3673) time: 4.2799 data: 3.1487 max mem: 29859 [01:39:55.771780] Epoch: [109] [ 20/850] eta: 0:14:09 lr: 0.002351 loss: 0.0329 (0.0350) loss_rec_all: 0.0690 (0.0709) loss_rec_sfr: 0.1035 (0.1071) loss_cl: -0.3666 (-0.3667) time: 0.8605 data: 0.0002 max mem: 29859 [01:40:13.009662] Epoch: [109] [ 40/850] eta: 0:12:45 lr: 0.002351 loss: 0.0334 (0.0347) loss_rec_all: 0.0690 (0.0706) loss_rec_sfr: 0.0736 (0.0999) loss_cl: -0.3663 (-0.3665) time: 0.8618 data: 0.0002 max mem: 29859 [01:40:30.214896] Epoch: [109] [ 60/850] eta: 0:12:04 lr: 0.002351 loss: 0.0312 (0.0343) loss_rec_all: 0.0672 (0.0703) loss_rec_sfr: 0.1060 (0.1008) loss_cl: -0.3667 (-0.3666) time: 0.8602 data: 0.0002 max mem: 29859 [01:40:47.463099] Epoch: [109] [ 80/850] eta: 0:11:35 lr: 0.002351 loss: 0.0313 (0.0338) loss_rec_all: 0.0676 (0.0698) loss_rec_sfr: 0.1051 (0.1014) loss_cl: -0.3676 (-0.3668) time: 0.8623 data: 0.0002 max mem: 29859 [01:41:04.658933] Epoch: [109] [100/850] eta: 0:11:11 lr: 0.002351 loss: 0.0315 (0.0335) loss_rec_all: 0.0674 (0.0694) loss_rec_sfr: 0.0884 (0.1004) loss_cl: -0.3671 (-0.3668) time: 0.8597 data: 0.0002 max mem: 29859 [01:41:21.957117] Epoch: [109] [120/850] eta: 0:10:49 lr: 0.002351 loss: 0.0318 (0.0333) loss_rec_all: 0.0678 (0.0693) loss_rec_sfr: 0.1016 (0.0999) loss_cl: -0.3674 (-0.3669) time: 0.8648 data: 0.0002 max mem: 29859 [01:41:39.163237] Epoch: [109] [140/850] eta: 0:10:28 lr: 0.002351 loss: 0.0309 (0.0331) loss_rec_all: 0.0671 (0.0691) loss_rec_sfr: 0.0795 (0.0997) loss_cl: -0.3672 (-0.3670) time: 0.8603 data: 0.0002 max mem: 29859 [01:41:56.427008] Epoch: [109] [160/850] eta: 0:10:09 lr: 0.002351 loss: 0.0302 (0.0330) loss_rec_all: 0.0664 (0.0690) loss_rec_sfr: 0.0771 (0.0986) loss_cl: -0.3671 (-0.3670) time: 0.8631 data: 0.0002 max mem: 29859 [01:42:13.648279] Epoch: [109] [180/850] eta: 0:09:49 lr: 0.002351 loss: 0.0317 (0.0329) loss_rec_all: 0.0675 (0.0689) loss_rec_sfr: 0.0778 (0.0988) loss_cl: -0.3667 (-0.3669) time: 0.8610 data: 0.0002 max mem: 29859 [01:42:30.893512] Epoch: [109] [200/850] eta: 0:09:31 lr: 0.002351 loss: 0.0325 (0.0331) loss_rec_all: 0.0685 (0.0691) loss_rec_sfr: 0.0816 (0.0983) loss_cl: -0.3666 (-0.3669) time: 0.8622 data: 0.0001 max mem: 29859 [01:42:48.147547] Epoch: [109] [220/850] eta: 0:09:12 lr: 0.002351 loss: 0.0327 (0.0332) loss_rec_all: 0.0689 (0.0692) loss_rec_sfr: 0.0754 (0.0978) loss_cl: -0.3670 (-0.3669) time: 0.8627 data: 0.0002 max mem: 29859 [01:43:05.401799] Epoch: [109] [240/850] eta: 0:08:54 lr: 0.002351 loss: 0.0342 (0.0333) loss_rec_all: 0.0703 (0.0693) loss_rec_sfr: 0.0881 (0.0983) loss_cl: -0.3670 (-0.3669) time: 0.8626 data: 0.0002 max mem: 29859 [01:43:22.610623] Epoch: [109] [260/850] eta: 0:08:36 lr: 0.002351 loss: 0.0346 (0.0335) loss_rec_all: 0.0707 (0.0695) loss_rec_sfr: 0.0902 (0.0984) loss_cl: -0.3670 (-0.3669) time: 0.8604 data: 0.0002 max mem: 29859 [01:43:39.896005] Epoch: [109] [280/850] eta: 0:08:18 lr: 0.002351 loss: 0.0337 (0.0335) loss_rec_all: 0.0696 (0.0696) loss_rec_sfr: 0.0928 (0.0989) loss_cl: -0.3675 (-0.3670) time: 0.8642 data: 0.0002 max mem: 29859 [01:43:57.094926] Epoch: [109] [300/850] eta: 0:08:00 lr: 0.002351 loss: 0.0318 (0.0335) loss_rec_all: 0.0677 (0.0695) loss_rec_sfr: 0.0943 (0.0990) loss_cl: -0.3679 (-0.3670) time: 0.8599 data: 0.0002 max mem: 29859 [01:44:14.390005] Epoch: [109] [320/850] eta: 0:07:42 lr: 0.002351 loss: 0.0305 (0.0334) loss_rec_all: 0.0667 (0.0694) loss_rec_sfr: 0.0820 (0.0984) loss_cl: -0.3679 (-0.3671) time: 0.8646 data: 0.0002 max mem: 29859 [01:44:31.619825] Epoch: [109] [340/850] eta: 0:07:24 lr: 0.002351 loss: 0.0313 (0.0333) loss_rec_all: 0.0675 (0.0693) loss_rec_sfr: 0.1062 (0.0987) loss_cl: -0.3675 (-0.3671) time: 0.8614 data: 0.0002 max mem: 29859 [01:44:48.869748] Epoch: [109] [360/850] eta: 0:07:06 lr: 0.002351 loss: 0.0308 (0.0332) loss_rec_all: 0.0670 (0.0692) loss_rec_sfr: 0.0785 (0.0985) loss_cl: -0.3672 (-0.3671) time: 0.8625 data: 0.0002 max mem: 29859 [01:45:06.101938] Epoch: [109] [380/850] eta: 0:06:49 lr: 0.002351 loss: 0.0322 (0.0332) loss_rec_all: 0.0680 (0.0692) loss_rec_sfr: 0.0810 (0.0986) loss_cl: -0.3669 (-0.3671) time: 0.8616 data: 0.0002 max mem: 29859 [01:45:23.354429] Epoch: [109] [400/850] eta: 0:06:31 lr: 0.002351 loss: 0.0312 (0.0331) loss_rec_all: 0.0673 (0.0692) loss_rec_sfr: 0.1044 (0.0988) loss_cl: -0.3675 (-0.3671) time: 0.8626 data: 0.0002 max mem: 29859 [01:45:40.579568] Epoch: [109] [420/850] eta: 0:06:14 lr: 0.002351 loss: 0.0334 (0.0332) loss_rec_all: 0.0692 (0.0692) loss_rec_sfr: 0.1155 (0.0996) loss_cl: -0.3673 (-0.3671) time: 0.8612 data: 0.0002 max mem: 29859 [01:45:57.848630] Epoch: [109] [440/850] eta: 0:05:56 lr: 0.002351 loss: 0.0313 (0.0331) loss_rec_all: 0.0675 (0.0692) loss_rec_sfr: 0.1006 (0.0996) loss_cl: -0.3671 (-0.3671) time: 0.8634 data: 0.0002 max mem: 29859 [01:46:15.050795] Epoch: [109] [460/850] eta: 0:05:39 lr: 0.002351 loss: 0.0312 (0.0331) loss_rec_all: 0.0671 (0.0691) loss_rec_sfr: 0.0811 (0.0995) loss_cl: -0.3670 (-0.3671) time: 0.8601 data: 0.0001 max mem: 29859 [01:46:32.330974] Epoch: [109] [480/850] eta: 0:05:21 lr: 0.002351 loss: 0.0326 (0.0331) loss_rec_all: 0.0685 (0.0691) loss_rec_sfr: 0.0945 (0.0994) loss_cl: -0.3665 (-0.3671) time: 0.8640 data: 0.0002 max mem: 29859 [01:46:49.537049] Epoch: [109] [500/850] eta: 0:05:04 lr: 0.002351 loss: 0.0329 (0.0331) loss_rec_all: 0.0690 (0.0691) loss_rec_sfr: 0.1001 (0.0995) loss_cl: -0.3666 (-0.3671) time: 0.8603 data: 0.0002 max mem: 29859 [01:47:06.810167] Epoch: [109] [520/850] eta: 0:04:46 lr: 0.002351 loss: 0.0322 (0.0331) loss_rec_all: 0.0684 (0.0691) loss_rec_sfr: 0.0908 (0.0995) loss_cl: -0.3672 (-0.3671) time: 0.8636 data: 0.0002 max mem: 29859 [01:47:23.996923] Epoch: [109] [540/850] eta: 0:04:29 lr: 0.002351 loss: 0.0315 (0.0331) loss_rec_all: 0.0675 (0.0691) loss_rec_sfr: 0.0711 (0.0994) loss_cl: -0.3674 (-0.3671) time: 0.8593 data: 0.0002 max mem: 29859 [01:47:41.218402] Epoch: [109] [560/850] eta: 0:04:11 lr: 0.002351 loss: 0.0327 (0.0332) loss_rec_all: 0.0690 (0.0692) loss_rec_sfr: 0.0873 (0.0994) loss_cl: -0.3678 (-0.3671) time: 0.8610 data: 0.0002 max mem: 29859 [01:47:58.457564] Epoch: [109] [580/850] eta: 0:03:54 lr: 0.002351 loss: 0.0339 (0.0332) loss_rec_all: 0.0701 (0.0692) loss_rec_sfr: 0.0822 (0.0997) loss_cl: -0.3682 (-0.3671) time: 0.8619 data: 0.0002 max mem: 29859 [01:48:15.701320] Epoch: [109] [600/850] eta: 0:03:36 lr: 0.002351 loss: 0.0388 (0.0334) loss_rec_all: 0.0744 (0.0694) loss_rec_sfr: 0.1272 (0.1006) loss_cl: -0.3680 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [01:48:32.929272] Epoch: [109] [620/850] eta: 0:03:19 lr: 0.002351 loss: 0.0373 (0.0336) loss_rec_all: 0.0734 (0.0696) loss_rec_sfr: 0.0856 (0.1008) loss_cl: -0.3671 (-0.3672) time: 0.8614 data: 0.0002 max mem: 29859 [01:48:50.147859] Epoch: [109] [640/850] eta: 0:03:02 lr: 0.002350 loss: 0.0341 (0.0336) loss_rec_all: 0.0700 (0.0697) loss_rec_sfr: 0.0829 (0.1010) loss_cl: -0.3667 (-0.3671) time: 0.8609 data: 0.0001 max mem: 29859 [01:49:07.345274] Epoch: [109] [660/850] eta: 0:02:44 lr: 0.002350 loss: 0.0340 (0.0337) loss_rec_all: 0.0697 (0.0697) loss_rec_sfr: 0.0799 (0.1008) loss_cl: -0.3663 (-0.3671) time: 0.8598 data: 0.0001 max mem: 29859 [01:49:24.618885] Epoch: [109] [680/850] eta: 0:02:27 lr: 0.002350 loss: 0.0322 (0.0337) loss_rec_all: 0.0679 (0.0697) loss_rec_sfr: 0.1070 (0.1010) loss_cl: -0.3656 (-0.3671) time: 0.8636 data: 0.0002 max mem: 29859 [01:49:41.821713] Epoch: [109] [700/850] eta: 0:02:09 lr: 0.002350 loss: 0.0338 (0.0337) loss_rec_all: 0.0695 (0.0697) loss_rec_sfr: 0.1089 (0.1014) loss_cl: -0.3669 (-0.3671) time: 0.8601 data: 0.0001 max mem: 29859 [01:49:59.115207] Epoch: [109] [720/850] eta: 0:01:52 lr: 0.002350 loss: 0.0307 (0.0336) loss_rec_all: 0.0668 (0.0696) loss_rec_sfr: 0.1131 (0.1014) loss_cl: -0.3678 (-0.3671) time: 0.8646 data: 0.0002 max mem: 29859 [01:50:16.327216] Epoch: [109] [740/850] eta: 0:01:35 lr: 0.002350 loss: 0.0302 (0.0336) loss_rec_all: 0.0665 (0.0696) loss_rec_sfr: 0.0812 (0.1014) loss_cl: -0.3682 (-0.3671) time: 0.8605 data: 0.0002 max mem: 29859 [01:50:33.576818] Epoch: [109] [760/850] eta: 0:01:17 lr: 0.002350 loss: 0.0318 (0.0335) loss_rec_all: 0.0680 (0.0695) loss_rec_sfr: 0.0816 (0.1014) loss_cl: -0.3684 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [01:50:50.822980] Epoch: [109] [780/850] eta: 0:01:00 lr: 0.002350 loss: 0.0311 (0.0335) loss_rec_all: 0.0674 (0.0695) loss_rec_sfr: 0.0763 (0.1009) loss_cl: -0.3674 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [01:51:08.075351] Epoch: [109] [800/850] eta: 0:00:43 lr: 0.002350 loss: 0.0311 (0.0335) loss_rec_all: 0.0669 (0.0695) loss_rec_sfr: 0.1052 (0.1010) loss_cl: -0.3677 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [01:51:25.310169] Epoch: [109] [820/850] eta: 0:00:25 lr: 0.002350 loss: 0.0323 (0.0335) loss_rec_all: 0.0684 (0.0695) loss_rec_sfr: 0.1155 (0.1012) loss_cl: -0.3680 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [01:51:42.554942] Epoch: [109] [840/850] eta: 0:00:08 lr: 0.002350 loss: 0.0318 (0.0335) loss_rec_all: 0.0679 (0.0695) loss_rec_sfr: 0.1007 (0.1012) loss_cl: -0.3676 (-0.3672) time: 0.8622 data: 0.0003 max mem: 29859 [01:51:50.326252] Epoch: [109] [849/850] eta: 0:00:00 lr: 0.002350 loss: 0.0308 (0.0335) loss_rec_all: 0.0671 (0.0695) loss_rec_sfr: 0.0776 (0.1011) loss_cl: -0.3675 (-0.3672) time: 0.8632 data: 0.0003 max mem: 29859 [01:51:50.501442] Epoch: [109] Total time: 0:12:16 (0.8661 s / it) [01:51:50.508988] Averaged stats: lr: 0.002350 loss: 0.0308 (0.0335) loss_rec_all: 0.0671 (0.0695) loss_rec_sfr: 0.0776 (0.1013) loss_cl: -0.3675 (-0.3672) [01:51:50.526980] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [01:51:54.809882] Epoch: [110] [ 0/850] eta: 1:00:39 lr: 0.002350 loss: 0.0291 (0.0291) loss_rec_all: 0.0654 (0.0654) loss_rec_sfr: 0.0628 (0.0628) loss_cl: -0.3672 (-0.3672) time: 4.2821 data: 3.1304 max mem: 29859 [01:52:12.062593] Epoch: [110] [ 20/850] eta: 0:14:11 lr: 0.002350 loss: 0.0316 (0.0317) loss_rec_all: 0.0673 (0.0676) loss_rec_sfr: 0.1220 (0.1129) loss_cl: -0.3671 (-0.3671) time: 0.8626 data: 0.0002 max mem: 29859 [01:52:29.316389] Epoch: [110] [ 40/850] eta: 0:12:46 lr: 0.002350 loss: 0.0307 (0.0323) loss_rec_all: 0.0667 (0.0682) loss_rec_sfr: 0.1063 (0.1050) loss_cl: -0.3669 (-0.3670) time: 0.8626 data: 0.0002 max mem: 29859 [01:52:46.512159] Epoch: [110] [ 60/850] eta: 0:12:05 lr: 0.002350 loss: 0.0303 (0.0317) loss_rec_all: 0.0664 (0.0677) loss_rec_sfr: 0.0789 (0.1014) loss_cl: -0.3665 (-0.3668) time: 0.8597 data: 0.0002 max mem: 29859 [01:53:03.787673] Epoch: [110] [ 80/850] eta: 0:11:36 lr: 0.002350 loss: 0.0326 (0.0324) loss_rec_all: 0.0687 (0.0684) loss_rec_sfr: 0.0950 (0.1011) loss_cl: -0.3669 (-0.3668) time: 0.8637 data: 0.0002 max mem: 29859 [01:53:20.996335] Epoch: [110] [100/850] eta: 0:11:11 lr: 0.002350 loss: 0.0323 (0.0324) loss_rec_all: 0.0683 (0.0684) loss_rec_sfr: 0.1126 (0.1024) loss_cl: -0.3676 (-0.3670) time: 0.8604 data: 0.0002 max mem: 29859 [01:53:38.254578] Epoch: [110] [120/850] eta: 0:10:49 lr: 0.002350 loss: 0.0317 (0.0324) loss_rec_all: 0.0679 (0.0684) loss_rec_sfr: 0.1125 (0.1025) loss_cl: -0.3680 (-0.3671) time: 0.8629 data: 0.0002 max mem: 29859 [01:53:55.511515] Epoch: [110] [140/850] eta: 0:10:29 lr: 0.002350 loss: 0.0304 (0.0323) loss_rec_all: 0.0665 (0.0683) loss_rec_sfr: 0.0777 (0.1011) loss_cl: -0.3677 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [01:54:12.760363] Epoch: [110] [160/850] eta: 0:10:09 lr: 0.002350 loss: 0.0303 (0.0322) loss_rec_all: 0.0663 (0.0683) loss_rec_sfr: 0.0751 (0.1004) loss_cl: -0.3674 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [01:54:30.034324] Epoch: [110] [180/850] eta: 0:09:50 lr: 0.002350 loss: 0.0304 (0.0320) loss_rec_all: 0.0664 (0.0680) loss_rec_sfr: 0.0750 (0.0995) loss_cl: -0.3663 (-0.3671) time: 0.8636 data: 0.0002 max mem: 29859 [01:54:47.330627] Epoch: [110] [200/850] eta: 0:09:31 lr: 0.002350 loss: 0.0319 (0.0321) loss_rec_all: 0.0676 (0.0681) loss_rec_sfr: 0.1025 (0.0996) loss_cl: -0.3662 (-0.3670) time: 0.8648 data: 0.0002 max mem: 29859 [01:55:04.542247] Epoch: [110] [220/850] eta: 0:09:13 lr: 0.002350 loss: 0.0313 (0.0322) loss_rec_all: 0.0672 (0.0682) loss_rec_sfr: 0.0821 (0.0992) loss_cl: -0.3665 (-0.3670) time: 0.8605 data: 0.0002 max mem: 29859 [01:55:21.872724] Epoch: [110] [240/850] eta: 0:08:54 lr: 0.002350 loss: 0.0296 (0.0321) loss_rec_all: 0.0658 (0.0681) loss_rec_sfr: 0.0762 (0.0985) loss_cl: -0.3674 (-0.3670) time: 0.8665 data: 0.0002 max mem: 29859 [01:55:39.088145] Epoch: [110] [260/850] eta: 0:08:36 lr: 0.002350 loss: 0.0295 (0.0320) loss_rec_all: 0.0657 (0.0680) loss_rec_sfr: 0.0757 (0.0981) loss_cl: -0.3678 (-0.3671) time: 0.8607 data: 0.0002 max mem: 29859 [01:55:56.340645] Epoch: [110] [280/850] eta: 0:08:18 lr: 0.002350 loss: 0.0313 (0.0319) loss_rec_all: 0.0673 (0.0680) loss_rec_sfr: 0.0799 (0.0979) loss_cl: -0.3675 (-0.3671) time: 0.8626 data: 0.0002 max mem: 29859 [01:56:13.601625] Epoch: [110] [300/850] eta: 0:08:00 lr: 0.002350 loss: 0.0336 (0.0321) loss_rec_all: 0.0698 (0.0681) loss_rec_sfr: 0.0960 (0.0982) loss_cl: -0.3673 (-0.3671) time: 0.8630 data: 0.0002 max mem: 29859 [01:56:30.861783] Epoch: [110] [320/850] eta: 0:07:42 lr: 0.002350 loss: 0.0331 (0.0322) loss_rec_all: 0.0689 (0.0682) loss_rec_sfr: 0.0851 (0.0985) loss_cl: -0.3674 (-0.3671) time: 0.8630 data: 0.0002 max mem: 29859 [01:56:48.104684] Epoch: [110] [340/850] eta: 0:07:25 lr: 0.002350 loss: 0.0316 (0.0322) loss_rec_all: 0.0674 (0.0683) loss_rec_sfr: 0.0718 (0.0980) loss_cl: -0.3669 (-0.3671) time: 0.8621 data: 0.0002 max mem: 29859 [01:57:05.397888] Epoch: [110] [360/850] eta: 0:07:07 lr: 0.002350 loss: 0.0313 (0.0322) loss_rec_all: 0.0673 (0.0683) loss_rec_sfr: 0.0771 (0.0976) loss_cl: -0.3666 (-0.3671) time: 0.8646 data: 0.0002 max mem: 29859 [01:57:22.609360] Epoch: [110] [380/850] eta: 0:06:49 lr: 0.002349 loss: 0.0321 (0.0323) loss_rec_all: 0.0683 (0.0684) loss_rec_sfr: 0.0763 (0.0970) loss_cl: -0.3665 (-0.3670) time: 0.8605 data: 0.0002 max mem: 29859 [01:57:39.880096] Epoch: [110] [400/850] eta: 0:06:32 lr: 0.002349 loss: 0.0335 (0.0324) loss_rec_all: 0.0692 (0.0685) loss_rec_sfr: 0.1059 (0.0975) loss_cl: -0.3668 (-0.3670) time: 0.8635 data: 0.0002 max mem: 29859 [01:57:57.096380] Epoch: [110] [420/850] eta: 0:06:14 lr: 0.002349 loss: 0.0308 (0.0323) loss_rec_all: 0.0666 (0.0684) loss_rec_sfr: 0.0698 (0.0974) loss_cl: -0.3678 (-0.3671) time: 0.8608 data: 0.0002 max mem: 29859 [01:58:14.346404] Epoch: [110] [440/850] eta: 0:05:56 lr: 0.002349 loss: 0.0309 (0.0323) loss_rec_all: 0.0669 (0.0683) loss_rec_sfr: 0.0997 (0.0975) loss_cl: -0.3681 (-0.3671) time: 0.8625 data: 0.0002 max mem: 29859 [01:58:31.603987] Epoch: [110] [460/850] eta: 0:05:39 lr: 0.002349 loss: 0.0306 (0.0323) loss_rec_all: 0.0668 (0.0684) loss_rec_sfr: 0.0829 (0.0972) loss_cl: -0.3683 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [01:58:48.858221] Epoch: [110] [480/850] eta: 0:05:21 lr: 0.002349 loss: 0.0302 (0.0323) loss_rec_all: 0.0664 (0.0683) loss_rec_sfr: 0.0848 (0.0972) loss_cl: -0.3678 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [01:59:06.091776] Epoch: [110] [500/850] eta: 0:05:04 lr: 0.002349 loss: 0.0305 (0.0323) loss_rec_all: 0.0668 (0.0683) loss_rec_sfr: 0.0735 (0.0969) loss_cl: -0.3673 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [01:59:23.369701] Epoch: [110] [520/850] eta: 0:04:46 lr: 0.002349 loss: 0.0324 (0.0323) loss_rec_all: 0.0683 (0.0683) loss_rec_sfr: 0.0952 (0.0971) loss_cl: -0.3672 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [01:59:40.569472] Epoch: [110] [540/850] eta: 0:04:29 lr: 0.002349 loss: 0.0322 (0.0323) loss_rec_all: 0.0680 (0.0683) loss_rec_sfr: 0.0997 (0.0973) loss_cl: -0.3666 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [01:59:57.877916] Epoch: [110] [560/850] eta: 0:04:11 lr: 0.002349 loss: 0.0333 (0.0324) loss_rec_all: 0.0692 (0.0685) loss_rec_sfr: 0.1119 (0.0976) loss_cl: -0.3666 (-0.3671) time: 0.8653 data: 0.0002 max mem: 29859 [02:00:15.102240] Epoch: [110] [580/850] eta: 0:03:54 lr: 0.002349 loss: 0.0342 (0.0326) loss_rec_all: 0.0703 (0.0686) loss_rec_sfr: 0.0807 (0.0976) loss_cl: -0.3666 (-0.3671) time: 0.8612 data: 0.0002 max mem: 29859 [02:00:32.329469] Epoch: [110] [600/850] eta: 0:03:37 lr: 0.002349 loss: 0.0329 (0.0326) loss_rec_all: 0.0688 (0.0686) loss_rec_sfr: 0.0826 (0.0977) loss_cl: -0.3674 (-0.3671) time: 0.8613 data: 0.0002 max mem: 29859 [02:00:49.586057] Epoch: [110] [620/850] eta: 0:03:19 lr: 0.002349 loss: 0.0337 (0.0327) loss_rec_all: 0.0698 (0.0687) loss_rec_sfr: 0.0872 (0.0977) loss_cl: -0.3679 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [02:01:06.833129] Epoch: [110] [640/850] eta: 0:03:02 lr: 0.002349 loss: 0.0319 (0.0327) loss_rec_all: 0.0680 (0.0687) loss_rec_sfr: 0.1019 (0.0979) loss_cl: -0.3675 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [02:01:24.051363] Epoch: [110] [660/850] eta: 0:02:44 lr: 0.002349 loss: 0.0319 (0.0327) loss_rec_all: 0.0677 (0.0687) loss_rec_sfr: 0.0820 (0.0982) loss_cl: -0.3670 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [02:01:41.328084] Epoch: [110] [680/850] eta: 0:02:27 lr: 0.002349 loss: 0.0311 (0.0326) loss_rec_all: 0.0671 (0.0687) loss_rec_sfr: 0.0760 (0.0980) loss_cl: -0.3673 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [02:01:58.544100] Epoch: [110] [700/850] eta: 0:02:10 lr: 0.002349 loss: 0.0310 (0.0326) loss_rec_all: 0.0671 (0.0687) loss_rec_sfr: 0.0793 (0.0979) loss_cl: -0.3673 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [02:02:15.841048] Epoch: [110] [720/850] eta: 0:01:52 lr: 0.002349 loss: 0.0303 (0.0326) loss_rec_all: 0.0660 (0.0687) loss_rec_sfr: 0.1085 (0.0981) loss_cl: -0.3668 (-0.3672) time: 0.8648 data: 0.0002 max mem: 29859 [02:02:33.052288] Epoch: [110] [740/850] eta: 0:01:35 lr: 0.002349 loss: 0.0309 (0.0326) loss_rec_all: 0.0668 (0.0686) loss_rec_sfr: 0.1128 (0.0984) loss_cl: -0.3673 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [02:02:50.294454] Epoch: [110] [760/850] eta: 0:01:18 lr: 0.002349 loss: 0.0337 (0.0326) loss_rec_all: 0.0695 (0.0687) loss_rec_sfr: 0.1047 (0.0987) loss_cl: -0.3675 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [02:03:07.532043] Epoch: [110] [780/850] eta: 0:01:00 lr: 0.002349 loss: 0.0311 (0.0326) loss_rec_all: 0.0672 (0.0687) loss_rec_sfr: 0.0877 (0.0987) loss_cl: -0.3675 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [02:03:24.783818] Epoch: [110] [800/850] eta: 0:00:43 lr: 0.002349 loss: 0.0314 (0.0326) loss_rec_all: 0.0677 (0.0687) loss_rec_sfr: 0.0770 (0.0987) loss_cl: -0.3675 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [02:03:41.979242] Epoch: [110] [820/850] eta: 0:00:25 lr: 0.002349 loss: 0.0318 (0.0326) loss_rec_all: 0.0677 (0.0686) loss_rec_sfr: 0.0748 (0.0984) loss_cl: -0.3675 (-0.3672) time: 0.8597 data: 0.0002 max mem: 29859 [02:03:59.209446] Epoch: [110] [840/850] eta: 0:00:08 lr: 0.002349 loss: 0.0304 (0.0326) loss_rec_all: 0.0665 (0.0686) loss_rec_sfr: 0.0776 (0.0984) loss_cl: -0.3669 (-0.3672) time: 0.8615 data: 0.0005 max mem: 29859 [02:04:06.939860] Epoch: [110] [849/850] eta: 0:00:00 lr: 0.002349 loss: 0.0314 (0.0326) loss_rec_all: 0.0674 (0.0686) loss_rec_sfr: 0.1030 (0.0985) loss_cl: -0.3668 (-0.3672) time: 0.8607 data: 0.0004 max mem: 29859 [02:04:07.110323] Epoch: [110] Total time: 0:12:16 (0.8666 s / it) [02:04:07.124175] Averaged stats: lr: 0.002349 loss: 0.0314 (0.0325) loss_rec_all: 0.0674 (0.0686) loss_rec_sfr: 0.1030 (0.0985) loss_cl: -0.3668 (-0.3672) [02:04:07.133696] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [02:04:11.403792] Epoch: [111] [ 0/850] eta: 1:00:28 lr: 0.002349 loss: 0.0291 (0.0291) loss_rec_all: 0.0651 (0.0651) loss_rec_sfr: 0.1089 (0.1089) loss_cl: -0.3672 (-0.3672) time: 4.2693 data: 3.2916 max mem: 29859 [02:04:28.628358] Epoch: [111] [ 20/850] eta: 0:14:09 lr: 0.002349 loss: 0.0320 (0.0329) loss_rec_all: 0.0681 (0.0688) loss_rec_sfr: 0.1010 (0.1031) loss_cl: -0.3664 (-0.3664) time: 0.8612 data: 0.0002 max mem: 29859 [02:04:45.871907] Epoch: [111] [ 40/850] eta: 0:12:45 lr: 0.002349 loss: 0.0334 (0.0332) loss_rec_all: 0.0691 (0.0691) loss_rec_sfr: 0.1000 (0.1032) loss_cl: -0.3670 (-0.3667) time: 0.8621 data: 0.0002 max mem: 29859 [02:05:03.067474] Epoch: [111] [ 60/850] eta: 0:12:04 lr: 0.002349 loss: 0.0316 (0.0328) loss_rec_all: 0.0678 (0.0688) loss_rec_sfr: 0.0977 (0.1008) loss_cl: -0.3680 (-0.3671) time: 0.8597 data: 0.0002 max mem: 29859 [02:05:20.388063] Epoch: [111] [ 80/850] eta: 0:11:36 lr: 0.002349 loss: 0.0317 (0.0330) loss_rec_all: 0.0677 (0.0690) loss_rec_sfr: 0.0824 (0.0993) loss_cl: -0.3680 (-0.3673) time: 0.8660 data: 0.0002 max mem: 29859 [02:05:37.593872] Epoch: [111] [100/850] eta: 0:11:11 lr: 0.002349 loss: 0.0318 (0.0328) loss_rec_all: 0.0678 (0.0688) loss_rec_sfr: 0.0847 (0.1000) loss_cl: -0.3679 (-0.3674) time: 0.8602 data: 0.0002 max mem: 29859 [02:05:54.833563] Epoch: [111] [120/850] eta: 0:10:49 lr: 0.002348 loss: 0.0305 (0.0327) loss_rec_all: 0.0667 (0.0687) loss_rec_sfr: 0.0800 (0.0987) loss_cl: -0.3670 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [02:06:12.089751] Epoch: [111] [140/850] eta: 0:10:29 lr: 0.002348 loss: 0.0306 (0.0325) loss_rec_all: 0.0669 (0.0686) loss_rec_sfr: 0.0814 (0.0989) loss_cl: -0.3665 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [02:06:29.330150] Epoch: [111] [160/850] eta: 0:10:09 lr: 0.002348 loss: 0.0324 (0.0326) loss_rec_all: 0.0684 (0.0686) loss_rec_sfr: 0.1002 (0.1005) loss_cl: -0.3671 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [02:06:46.601764] Epoch: [111] [180/850] eta: 0:09:50 lr: 0.002348 loss: 0.0315 (0.0325) loss_rec_all: 0.0674 (0.0685) loss_rec_sfr: 0.0808 (0.1005) loss_cl: -0.3673 (-0.3672) time: 0.8635 data: 0.0002 max mem: 29859 [02:07:03.852224] Epoch: [111] [200/850] eta: 0:09:31 lr: 0.002348 loss: 0.0316 (0.0325) loss_rec_all: 0.0677 (0.0685) loss_rec_sfr: 0.0841 (0.1004) loss_cl: -0.3679 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [02:07:21.055565] Epoch: [111] [220/850] eta: 0:09:12 lr: 0.002348 loss: 0.0313 (0.0324) loss_rec_all: 0.0677 (0.0685) loss_rec_sfr: 0.0819 (0.1002) loss_cl: -0.3680 (-0.3673) time: 0.8601 data: 0.0002 max mem: 29859 [02:07:38.369276] Epoch: [111] [240/850] eta: 0:08:54 lr: 0.002348 loss: 0.0321 (0.0326) loss_rec_all: 0.0681 (0.0686) loss_rec_sfr: 0.0810 (0.1000) loss_cl: -0.3672 (-0.3673) time: 0.8656 data: 0.0003 max mem: 29859 [02:07:55.558678] Epoch: [111] [260/850] eta: 0:08:36 lr: 0.002348 loss: 0.0307 (0.0325) loss_rec_all: 0.0668 (0.0686) loss_rec_sfr: 0.0814 (0.0999) loss_cl: -0.3669 (-0.3673) time: 0.8594 data: 0.0002 max mem: 29859 [02:08:12.819107] Epoch: [111] [280/850] eta: 0:08:18 lr: 0.002348 loss: 0.0300 (0.0324) loss_rec_all: 0.0658 (0.0685) loss_rec_sfr: 0.0713 (0.0995) loss_cl: -0.3668 (-0.3673) time: 0.8629 data: 0.0003 max mem: 29859 [02:08:30.023131] Epoch: [111] [300/850] eta: 0:08:00 lr: 0.002348 loss: 0.0309 (0.0324) loss_rec_all: 0.0673 (0.0684) loss_rec_sfr: 0.1055 (0.0998) loss_cl: -0.3677 (-0.3673) time: 0.8602 data: 0.0002 max mem: 29859 [02:08:47.260699] Epoch: [111] [320/850] eta: 0:07:42 lr: 0.002348 loss: 0.0310 (0.0323) loss_rec_all: 0.0673 (0.0684) loss_rec_sfr: 0.0808 (0.0999) loss_cl: -0.3678 (-0.3673) time: 0.8618 data: 0.0001 max mem: 29859 [02:09:04.522921] Epoch: [111] [340/850] eta: 0:07:24 lr: 0.002348 loss: 0.0325 (0.0324) loss_rec_all: 0.0685 (0.0684) loss_rec_sfr: 0.1042 (0.1004) loss_cl: -0.3674 (-0.3673) time: 0.8631 data: 0.0003 max mem: 29859 [02:09:21.760247] Epoch: [111] [360/850] eta: 0:07:07 lr: 0.002348 loss: 0.0304 (0.0324) loss_rec_all: 0.0666 (0.0684) loss_rec_sfr: 0.0826 (0.1002) loss_cl: -0.3671 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [02:09:39.015557] Epoch: [111] [380/850] eta: 0:06:49 lr: 0.002348 loss: 0.0307 (0.0324) loss_rec_all: 0.0669 (0.0684) loss_rec_sfr: 0.0797 (0.0999) loss_cl: -0.3672 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [02:09:56.263476] Epoch: [111] [400/850] eta: 0:06:31 lr: 0.002348 loss: 0.0321 (0.0324) loss_rec_all: 0.0683 (0.0684) loss_rec_sfr: 0.0808 (0.1000) loss_cl: -0.3666 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [02:10:13.484998] Epoch: [111] [420/850] eta: 0:06:14 lr: 0.002348 loss: 0.0308 (0.0323) loss_rec_all: 0.0668 (0.0684) loss_rec_sfr: 0.0791 (0.1000) loss_cl: -0.3670 (-0.3672) time: 0.8610 data: 0.0002 max mem: 29859 [02:10:30.804355] Epoch: [111] [440/850] eta: 0:05:56 lr: 0.002348 loss: 0.0294 (0.0322) loss_rec_all: 0.0656 (0.0683) loss_rec_sfr: 0.0691 (0.0993) loss_cl: -0.3667 (-0.3672) time: 0.8659 data: 0.0002 max mem: 29859 [02:10:48.019731] Epoch: [111] [460/850] eta: 0:05:39 lr: 0.002348 loss: 0.0308 (0.0322) loss_rec_all: 0.0668 (0.0682) loss_rec_sfr: 0.1099 (0.0998) loss_cl: -0.3669 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [02:11:05.318791] Epoch: [111] [480/850] eta: 0:05:21 lr: 0.002348 loss: 0.0305 (0.0322) loss_rec_all: 0.0663 (0.0682) loss_rec_sfr: 0.0868 (0.0999) loss_cl: -0.3674 (-0.3672) time: 0.8649 data: 0.0002 max mem: 29859 [02:11:22.529545] Epoch: [111] [500/850] eta: 0:05:04 lr: 0.002348 loss: 0.0316 (0.0322) loss_rec_all: 0.0673 (0.0682) loss_rec_sfr: 0.0935 (0.0999) loss_cl: -0.3677 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [02:11:39.765137] Epoch: [111] [520/850] eta: 0:04:46 lr: 0.002348 loss: 0.0337 (0.0323) loss_rec_all: 0.0695 (0.0683) loss_rec_sfr: 0.0994 (0.1003) loss_cl: -0.3671 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [02:11:57.018652] Epoch: [111] [540/850] eta: 0:04:29 lr: 0.002348 loss: 0.0330 (0.0324) loss_rec_all: 0.0688 (0.0684) loss_rec_sfr: 0.1014 (0.1007) loss_cl: -0.3673 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [02:12:14.249686] Epoch: [111] [560/850] eta: 0:04:11 lr: 0.002348 loss: 0.0351 (0.0325) loss_rec_all: 0.0712 (0.0685) loss_rec_sfr: 0.0947 (0.1008) loss_cl: -0.3676 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [02:12:31.506993] Epoch: [111] [580/850] eta: 0:03:54 lr: 0.002348 loss: 0.0364 (0.0327) loss_rec_all: 0.0722 (0.0687) loss_rec_sfr: 0.0919 (0.1010) loss_cl: -0.3676 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [02:12:48.755582] Epoch: [111] [600/850] eta: 0:03:36 lr: 0.002348 loss: 0.0354 (0.0329) loss_rec_all: 0.0714 (0.0689) loss_rec_sfr: 0.1061 (0.1011) loss_cl: -0.3668 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [02:13:05.952957] Epoch: [111] [620/850] eta: 0:03:19 lr: 0.002348 loss: 0.0345 (0.0329) loss_rec_all: 0.0703 (0.0689) loss_rec_sfr: 0.0941 (0.1010) loss_cl: -0.3671 (-0.3672) time: 0.8598 data: 0.0002 max mem: 29859 [02:13:23.261647] Epoch: [111] [640/850] eta: 0:03:02 lr: 0.002348 loss: 0.0330 (0.0330) loss_rec_all: 0.0693 (0.0690) loss_rec_sfr: 0.1069 (0.1013) loss_cl: -0.3682 (-0.3672) time: 0.8654 data: 0.0002 max mem: 29859 [02:13:40.469396] Epoch: [111] [660/850] eta: 0:02:44 lr: 0.002348 loss: 0.0327 (0.0330) loss_rec_all: 0.0688 (0.0690) loss_rec_sfr: 0.1057 (0.1013) loss_cl: -0.3676 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [02:13:57.753983] Epoch: [111] [680/850] eta: 0:02:27 lr: 0.002348 loss: 0.0307 (0.0330) loss_rec_all: 0.0669 (0.0690) loss_rec_sfr: 0.0817 (0.1012) loss_cl: -0.3668 (-0.3672) time: 0.8642 data: 0.0002 max mem: 29859 [02:14:14.966689] Epoch: [111] [700/850] eta: 0:02:10 lr: 0.002348 loss: 0.0318 (0.0329) loss_rec_all: 0.0676 (0.0689) loss_rec_sfr: 0.1170 (0.1015) loss_cl: -0.3667 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [02:14:32.212110] Epoch: [111] [720/850] eta: 0:01:52 lr: 0.002347 loss: 0.0310 (0.0329) loss_rec_all: 0.0667 (0.0689) loss_rec_sfr: 0.1044 (0.1015) loss_cl: -0.3667 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [02:14:49.417648] Epoch: [111] [740/850] eta: 0:01:35 lr: 0.002347 loss: 0.0287 (0.0328) loss_rec_all: 0.0649 (0.0688) loss_rec_sfr: 0.0774 (0.1011) loss_cl: -0.3672 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [02:15:06.655691] Epoch: [111] [760/850] eta: 0:01:17 lr: 0.002347 loss: 0.0290 (0.0327) loss_rec_all: 0.0650 (0.0688) loss_rec_sfr: 0.0742 (0.1008) loss_cl: -0.3673 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [02:15:23.873014] Epoch: [111] [780/850] eta: 0:01:00 lr: 0.002347 loss: 0.0307 (0.0327) loss_rec_all: 0.0667 (0.0688) loss_rec_sfr: 0.0830 (0.1007) loss_cl: -0.3684 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [02:15:41.112835] Epoch: [111] [800/850] eta: 0:00:43 lr: 0.002347 loss: 0.0326 (0.0328) loss_rec_all: 0.0686 (0.0688) loss_rec_sfr: 0.0835 (0.1007) loss_cl: -0.3682 (-0.3672) time: 0.8619 data: 0.0001 max mem: 29859 [02:15:58.336901] Epoch: [111] [820/850] eta: 0:00:25 lr: 0.002347 loss: 0.0314 (0.0328) loss_rec_all: 0.0676 (0.0688) loss_rec_sfr: 0.0783 (0.1005) loss_cl: -0.3679 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [02:16:15.583934] Epoch: [111] [840/850] eta: 0:00:08 lr: 0.002347 loss: 0.0309 (0.0327) loss_rec_all: 0.0671 (0.0688) loss_rec_sfr: 0.0731 (0.1004) loss_cl: -0.3677 (-0.3673) time: 0.8623 data: 0.0004 max mem: 29859 [02:16:23.338748] Epoch: [111] [849/850] eta: 0:00:00 lr: 0.002347 loss: 0.0315 (0.0327) loss_rec_all: 0.0678 (0.0688) loss_rec_sfr: 0.0806 (0.1003) loss_cl: -0.3674 (-0.3673) time: 0.8625 data: 0.0004 max mem: 29859 [02:16:23.490991] Epoch: [111] Total time: 0:12:16 (0.8663 s / it) [02:16:23.493463] Averaged stats: lr: 0.002347 loss: 0.0315 (0.0328) loss_rec_all: 0.0678 (0.0688) loss_rec_sfr: 0.0806 (0.0994) loss_cl: -0.3674 (-0.3672) [02:16:23.506192] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [02:16:27.777029] Epoch: [112] [ 0/850] eta: 1:00:29 lr: 0.002347 loss: 0.0346 (0.0346) loss_rec_all: 0.0703 (0.0703) loss_rec_sfr: 0.1296 (0.1296) loss_cl: -0.3664 (-0.3664) time: 4.2697 data: 3.4128 max mem: 29859 [02:16:44.956979] Epoch: [112] [ 20/850] eta: 0:14:07 lr: 0.002347 loss: 0.0332 (0.0342) loss_rec_all: 0.0689 (0.0700) loss_rec_sfr: 0.1183 (0.1186) loss_cl: -0.3665 (-0.3665) time: 0.8589 data: 0.0002 max mem: 29859 [02:17:02.187521] Epoch: [112] [ 40/850] eta: 0:12:44 lr: 0.002347 loss: 0.0321 (0.0338) loss_rec_all: 0.0683 (0.0697) loss_rec_sfr: 0.0795 (0.1096) loss_cl: -0.3666 (-0.3665) time: 0.8615 data: 0.0002 max mem: 29859 [02:17:19.402718] Epoch: [112] [ 60/850] eta: 0:12:03 lr: 0.002347 loss: 0.0324 (0.0337) loss_rec_all: 0.0685 (0.0696) loss_rec_sfr: 0.1064 (0.1082) loss_cl: -0.3670 (-0.3667) time: 0.8607 data: 0.0002 max mem: 29859 [02:17:36.640490] Epoch: [112] [ 80/850] eta: 0:11:35 lr: 0.002347 loss: 0.0300 (0.0330) loss_rec_all: 0.0659 (0.0689) loss_rec_sfr: 0.0835 (0.1052) loss_cl: -0.3675 (-0.3669) time: 0.8619 data: 0.0001 max mem: 29859 [02:17:53.856236] Epoch: [112] [100/850] eta: 0:11:10 lr: 0.002347 loss: 0.0309 (0.0326) loss_rec_all: 0.0668 (0.0686) loss_rec_sfr: 0.1023 (0.1054) loss_cl: -0.3679 (-0.3671) time: 0.8607 data: 0.0002 max mem: 29859 [02:18:11.085473] Epoch: [112] [120/850] eta: 0:10:48 lr: 0.002347 loss: 0.0297 (0.0324) loss_rec_all: 0.0658 (0.0684) loss_rec_sfr: 0.0788 (0.1047) loss_cl: -0.3675 (-0.3672) time: 0.8614 data: 0.0002 max mem: 29859 [02:18:28.284725] Epoch: [112] [140/850] eta: 0:10:28 lr: 0.002347 loss: 0.0316 (0.0323) loss_rec_all: 0.0674 (0.0683) loss_rec_sfr: 0.0685 (0.1029) loss_cl: -0.3674 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [02:18:45.513743] Epoch: [112] [160/850] eta: 0:10:08 lr: 0.002347 loss: 0.0299 (0.0320) loss_rec_all: 0.0660 (0.0680) loss_rec_sfr: 0.0796 (0.1027) loss_cl: -0.3676 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [02:19:02.708703] Epoch: [112] [180/850] eta: 0:09:49 lr: 0.002347 loss: 0.0302 (0.0319) loss_rec_all: 0.0660 (0.0679) loss_rec_sfr: 0.0837 (0.1024) loss_cl: -0.3673 (-0.3673) time: 0.8597 data: 0.0002 max mem: 29859 [02:19:19.938803] Epoch: [112] [200/850] eta: 0:09:30 lr: 0.002347 loss: 0.0301 (0.0318) loss_rec_all: 0.0664 (0.0678) loss_rec_sfr: 0.0970 (0.1019) loss_cl: -0.3672 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [02:19:37.138164] Epoch: [112] [220/850] eta: 0:09:11 lr: 0.002347 loss: 0.0291 (0.0317) loss_rec_all: 0.0652 (0.0677) loss_rec_sfr: 0.0812 (0.1008) loss_cl: -0.3671 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [02:19:54.366112] Epoch: [112] [240/850] eta: 0:08:53 lr: 0.002347 loss: 0.0316 (0.0317) loss_rec_all: 0.0676 (0.0677) loss_rec_sfr: 0.1023 (0.1007) loss_cl: -0.3673 (-0.3672) time: 0.8614 data: 0.0002 max mem: 29859 [02:20:11.571842] Epoch: [112] [260/850] eta: 0:08:35 lr: 0.002347 loss: 0.0290 (0.0315) loss_rec_all: 0.0653 (0.0676) loss_rec_sfr: 0.0758 (0.1005) loss_cl: -0.3671 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [02:20:28.812823] Epoch: [112] [280/850] eta: 0:08:17 lr: 0.002347 loss: 0.0309 (0.0315) loss_rec_all: 0.0669 (0.0676) loss_rec_sfr: 0.0998 (0.1002) loss_cl: -0.3664 (-0.3671) time: 0.8620 data: 0.0002 max mem: 29859 [02:20:46.021411] Epoch: [112] [300/850] eta: 0:07:59 lr: 0.002347 loss: 0.0340 (0.0318) loss_rec_all: 0.0699 (0.0678) loss_rec_sfr: 0.1059 (0.1009) loss_cl: -0.3668 (-0.3671) time: 0.8604 data: 0.0001 max mem: 29859 [02:21:03.254325] Epoch: [112] [320/850] eta: 0:07:41 lr: 0.002347 loss: 0.0336 (0.0320) loss_rec_all: 0.0695 (0.0680) loss_rec_sfr: 0.1097 (0.1020) loss_cl: -0.3668 (-0.3671) time: 0.8616 data: 0.0001 max mem: 29859 [02:21:20.456327] Epoch: [112] [340/850] eta: 0:07:24 lr: 0.002347 loss: 0.0331 (0.0321) loss_rec_all: 0.0688 (0.0681) loss_rec_sfr: 0.1100 (0.1024) loss_cl: -0.3670 (-0.3671) time: 0.8601 data: 0.0002 max mem: 29859 [02:21:37.693803] Epoch: [112] [360/850] eta: 0:07:06 lr: 0.002347 loss: 0.0311 (0.0321) loss_rec_all: 0.0674 (0.0681) loss_rec_sfr: 0.0749 (0.1018) loss_cl: -0.3676 (-0.3671) time: 0.8618 data: 0.0001 max mem: 29859 [02:21:54.889335] Epoch: [112] [380/850] eta: 0:06:48 lr: 0.002347 loss: 0.0319 (0.0322) loss_rec_all: 0.0677 (0.0682) loss_rec_sfr: 0.1159 (0.1022) loss_cl: -0.3681 (-0.3671) time: 0.8597 data: 0.0001 max mem: 29859 [02:22:12.127228] Epoch: [112] [400/850] eta: 0:06:31 lr: 0.002347 loss: 0.0333 (0.0323) loss_rec_all: 0.0690 (0.0683) loss_rec_sfr: 0.1068 (0.1025) loss_cl: -0.3679 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [02:22:29.333333] Epoch: [112] [420/850] eta: 0:06:13 lr: 0.002347 loss: 0.0314 (0.0323) loss_rec_all: 0.0676 (0.0683) loss_rec_sfr: 0.0793 (0.1020) loss_cl: -0.3672 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [02:22:46.585771] Epoch: [112] [440/850] eta: 0:05:56 lr: 0.002346 loss: 0.0312 (0.0323) loss_rec_all: 0.0670 (0.0683) loss_rec_sfr: 0.0801 (0.1018) loss_cl: -0.3672 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [02:23:03.803304] Epoch: [112] [460/850] eta: 0:05:38 lr: 0.002346 loss: 0.0316 (0.0324) loss_rec_all: 0.0677 (0.0684) loss_rec_sfr: 0.0824 (0.1014) loss_cl: -0.3673 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [02:23:21.053733] Epoch: [112] [480/850] eta: 0:05:21 lr: 0.002346 loss: 0.0321 (0.0324) loss_rec_all: 0.0681 (0.0684) loss_rec_sfr: 0.1044 (0.1018) loss_cl: -0.3673 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [02:23:38.270627] Epoch: [112] [500/850] eta: 0:05:03 lr: 0.002346 loss: 0.0305 (0.0323) loss_rec_all: 0.0663 (0.0683) loss_rec_sfr: 0.0787 (0.1015) loss_cl: -0.3670 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [02:23:55.515569] Epoch: [112] [520/850] eta: 0:04:46 lr: 0.002346 loss: 0.0309 (0.0323) loss_rec_all: 0.0668 (0.0683) loss_rec_sfr: 0.1030 (0.1015) loss_cl: -0.3671 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [02:24:12.721229] Epoch: [112] [540/850] eta: 0:04:28 lr: 0.002346 loss: 0.0312 (0.0323) loss_rec_all: 0.0670 (0.0683) loss_rec_sfr: 0.0807 (0.1013) loss_cl: -0.3666 (-0.3671) time: 0.8602 data: 0.0002 max mem: 29859 [02:24:29.961589] Epoch: [112] [560/850] eta: 0:04:11 lr: 0.002346 loss: 0.0312 (0.0323) loss_rec_all: 0.0673 (0.0683) loss_rec_sfr: 0.0788 (0.1010) loss_cl: -0.3662 (-0.3671) time: 0.8620 data: 0.0002 max mem: 29859 [02:24:47.168369] Epoch: [112] [580/850] eta: 0:03:54 lr: 0.002346 loss: 0.0305 (0.0323) loss_rec_all: 0.0666 (0.0683) loss_rec_sfr: 0.0766 (0.1006) loss_cl: -0.3664 (-0.3671) time: 0.8603 data: 0.0002 max mem: 29859 [02:25:04.406532] Epoch: [112] [600/850] eta: 0:03:36 lr: 0.002346 loss: 0.0312 (0.0323) loss_rec_all: 0.0675 (0.0683) loss_rec_sfr: 0.1052 (0.1007) loss_cl: -0.3674 (-0.3671) time: 0.8619 data: 0.0002 max mem: 29859 [02:25:21.617922] Epoch: [112] [620/850] eta: 0:03:19 lr: 0.002346 loss: 0.0307 (0.0323) loss_rec_all: 0.0671 (0.0683) loss_rec_sfr: 0.0999 (0.1008) loss_cl: -0.3685 (-0.3671) time: 0.8605 data: 0.0002 max mem: 29859 [02:25:38.860055] Epoch: [112] [640/850] eta: 0:03:01 lr: 0.002346 loss: 0.0289 (0.0322) loss_rec_all: 0.0650 (0.0682) loss_rec_sfr: 0.1076 (0.1008) loss_cl: -0.3683 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [02:25:56.068681] Epoch: [112] [660/850] eta: 0:02:44 lr: 0.002346 loss: 0.0295 (0.0322) loss_rec_all: 0.0657 (0.0682) loss_rec_sfr: 0.0986 (0.1009) loss_cl: -0.3679 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [02:26:13.308354] Epoch: [112] [680/850] eta: 0:02:27 lr: 0.002346 loss: 0.0300 (0.0321) loss_rec_all: 0.0658 (0.0682) loss_rec_sfr: 0.0812 (0.1007) loss_cl: -0.3676 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [02:26:30.519497] Epoch: [112] [700/850] eta: 0:02:09 lr: 0.002346 loss: 0.0299 (0.0321) loss_rec_all: 0.0655 (0.0681) loss_rec_sfr: 0.0748 (0.1005) loss_cl: -0.3665 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [02:26:47.760575] Epoch: [112] [720/850] eta: 0:01:52 lr: 0.002346 loss: 0.0285 (0.0321) loss_rec_all: 0.0646 (0.0681) loss_rec_sfr: 0.0677 (0.1002) loss_cl: -0.3660 (-0.3671) time: 0.8620 data: 0.0002 max mem: 29859 [02:27:04.962713] Epoch: [112] [740/850] eta: 0:01:35 lr: 0.002346 loss: 0.0327 (0.0321) loss_rec_all: 0.0688 (0.0681) loss_rec_sfr: 0.0759 (0.0997) loss_cl: -0.3668 (-0.3671) time: 0.8600 data: 0.0002 max mem: 29859 [02:27:22.204188] Epoch: [112] [760/850] eta: 0:01:17 lr: 0.002346 loss: 0.0344 (0.0322) loss_rec_all: 0.0707 (0.0682) loss_rec_sfr: 0.0786 (0.0995) loss_cl: -0.3681 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [02:27:39.407602] Epoch: [112] [780/850] eta: 0:01:00 lr: 0.002346 loss: 0.0364 (0.0323) loss_rec_all: 0.0726 (0.0683) loss_rec_sfr: 0.1083 (0.0998) loss_cl: -0.3682 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [02:27:56.651833] Epoch: [112] [800/850] eta: 0:00:43 lr: 0.002346 loss: 0.0342 (0.0324) loss_rec_all: 0.0701 (0.0684) loss_rec_sfr: 0.0787 (0.0996) loss_cl: -0.3676 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [02:28:13.856847] Epoch: [112] [820/850] eta: 0:00:25 lr: 0.002346 loss: 0.0319 (0.0324) loss_rec_all: 0.0676 (0.0684) loss_rec_sfr: 0.0779 (0.0995) loss_cl: -0.3671 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [02:28:31.096246] Epoch: [112] [840/850] eta: 0:00:08 lr: 0.002346 loss: 0.0303 (0.0324) loss_rec_all: 0.0666 (0.0684) loss_rec_sfr: 0.0704 (0.0992) loss_cl: -0.3669 (-0.3672) time: 0.8619 data: 0.0004 max mem: 29859 [02:28:38.835986] Epoch: [112] [849/850] eta: 0:00:00 lr: 0.002346 loss: 0.0303 (0.0324) loss_rec_all: 0.0664 (0.0684) loss_rec_sfr: 0.0704 (0.0991) loss_cl: -0.3665 (-0.3672) time: 0.8616 data: 0.0004 max mem: 29859 [02:28:38.995754] Epoch: [112] Total time: 0:12:15 (0.8653 s / it) [02:28:38.998207] Averaged stats: lr: 0.002346 loss: 0.0303 (0.0325) loss_rec_all: 0.0664 (0.0685) loss_rec_sfr: 0.0704 (0.0992) loss_cl: -0.3665 (-0.3672) [02:28:39.010246] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [02:28:43.337423] Epoch: [113] [ 0/850] eta: 1:01:17 lr: 0.002346 loss: 0.0301 (0.0301) loss_rec_all: 0.0662 (0.0662) loss_rec_sfr: 0.0794 (0.0794) loss_cl: -0.3662 (-0.3662) time: 4.3264 data: 2.9821 max mem: 29859 [02:29:00.526812] Epoch: [113] [ 20/850] eta: 0:14:10 lr: 0.002346 loss: 0.0312 (0.0321) loss_rec_all: 0.0672 (0.0680) loss_rec_sfr: 0.1066 (0.1034) loss_cl: -0.3663 (-0.3662) time: 0.8594 data: 0.0002 max mem: 29859 [02:29:17.750435] Epoch: [113] [ 40/850] eta: 0:12:45 lr: 0.002346 loss: 0.0314 (0.0321) loss_rec_all: 0.0675 (0.0681) loss_rec_sfr: 0.1004 (0.0986) loss_cl: -0.3670 (-0.3666) time: 0.8611 data: 0.0002 max mem: 29859 [02:29:34.967276] Epoch: [113] [ 60/850] eta: 0:12:04 lr: 0.002346 loss: 0.0295 (0.0315) loss_rec_all: 0.0656 (0.0675) loss_rec_sfr: 0.0757 (0.0958) loss_cl: -0.3670 (-0.3667) time: 0.8608 data: 0.0002 max mem: 29859 [02:29:52.194986] Epoch: [113] [ 80/850] eta: 0:11:35 lr: 0.002346 loss: 0.0289 (0.0309) loss_rec_all: 0.0649 (0.0670) loss_rec_sfr: 0.0790 (0.0954) loss_cl: -0.3674 (-0.3669) time: 0.8613 data: 0.0002 max mem: 29859 [02:30:09.396749] Epoch: [113] [100/850] eta: 0:11:11 lr: 0.002346 loss: 0.0288 (0.0306) loss_rec_all: 0.0647 (0.0667) loss_rec_sfr: 0.0754 (0.0944) loss_cl: -0.3676 (-0.3670) time: 0.8600 data: 0.0002 max mem: 29859 [02:30:26.640530] Epoch: [113] [120/850] eta: 0:10:49 lr: 0.002346 loss: 0.0292 (0.0306) loss_rec_all: 0.0653 (0.0667) loss_rec_sfr: 0.1101 (0.0965) loss_cl: -0.3676 (-0.3671) time: 0.8621 data: 0.0002 max mem: 29859 [02:30:43.847244] Epoch: [113] [140/850] eta: 0:10:28 lr: 0.002346 loss: 0.0289 (0.0306) loss_rec_all: 0.0651 (0.0666) loss_rec_sfr: 0.0845 (0.0964) loss_cl: -0.3673 (-0.3671) time: 0.8603 data: 0.0002 max mem: 29859 [02:31:01.079148] Epoch: [113] [160/850] eta: 0:10:08 lr: 0.002346 loss: 0.0308 (0.0307) loss_rec_all: 0.0671 (0.0668) loss_rec_sfr: 0.0818 (0.0957) loss_cl: -0.3677 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [02:31:18.287560] Epoch: [113] [180/850] eta: 0:09:49 lr: 0.002345 loss: 0.0351 (0.0312) loss_rec_all: 0.0707 (0.0672) loss_rec_sfr: 0.0924 (0.0963) loss_cl: -0.3679 (-0.3673) time: 0.8604 data: 0.0002 max mem: 29859 [02:31:35.538372] Epoch: [113] [200/850] eta: 0:09:30 lr: 0.002345 loss: 0.0330 (0.0314) loss_rec_all: 0.0690 (0.0675) loss_rec_sfr: 0.1007 (0.0969) loss_cl: -0.3675 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [02:31:52.754399] Epoch: [113] [220/850] eta: 0:09:12 lr: 0.002345 loss: 0.0312 (0.0315) loss_rec_all: 0.0674 (0.0675) loss_rec_sfr: 0.0795 (0.0967) loss_cl: -0.3675 (-0.3673) time: 0.8608 data: 0.0002 max mem: 29859 [02:32:09.998978] Epoch: [113] [240/850] eta: 0:08:54 lr: 0.002345 loss: 0.0301 (0.0315) loss_rec_all: 0.0664 (0.0676) loss_rec_sfr: 0.0741 (0.0959) loss_cl: -0.3676 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [02:32:27.220008] Epoch: [113] [260/850] eta: 0:08:35 lr: 0.002345 loss: 0.0327 (0.0317) loss_rec_all: 0.0689 (0.0677) loss_rec_sfr: 0.0787 (0.0957) loss_cl: -0.3670 (-0.3673) time: 0.8610 data: 0.0002 max mem: 29859 [02:32:44.466190] Epoch: [113] [280/850] eta: 0:08:17 lr: 0.002345 loss: 0.0312 (0.0317) loss_rec_all: 0.0669 (0.0677) loss_rec_sfr: 0.1035 (0.0964) loss_cl: -0.3670 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [02:33:01.679300] Epoch: [113] [300/850] eta: 0:07:59 lr: 0.002345 loss: 0.0308 (0.0316) loss_rec_all: 0.0670 (0.0677) loss_rec_sfr: 0.0791 (0.0961) loss_cl: -0.3670 (-0.3673) time: 0.8606 data: 0.0002 max mem: 29859 [02:33:18.919704] Epoch: [113] [320/850] eta: 0:07:42 lr: 0.002345 loss: 0.0296 (0.0316) loss_rec_all: 0.0657 (0.0676) loss_rec_sfr: 0.0994 (0.0963) loss_cl: -0.3667 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [02:33:36.121605] Epoch: [113] [340/850] eta: 0:07:24 lr: 0.002345 loss: 0.0307 (0.0315) loss_rec_all: 0.0667 (0.0676) loss_rec_sfr: 0.0808 (0.0963) loss_cl: -0.3666 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [02:33:53.359106] Epoch: [113] [360/850] eta: 0:07:06 lr: 0.002345 loss: 0.0306 (0.0316) loss_rec_all: 0.0668 (0.0676) loss_rec_sfr: 0.0859 (0.0962) loss_cl: -0.3671 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [02:34:10.567247] Epoch: [113] [380/850] eta: 0:06:48 lr: 0.002345 loss: 0.0295 (0.0315) loss_rec_all: 0.0658 (0.0675) loss_rec_sfr: 0.0750 (0.0959) loss_cl: -0.3673 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [02:34:27.812452] Epoch: [113] [400/850] eta: 0:06:31 lr: 0.002345 loss: 0.0290 (0.0314) loss_rec_all: 0.0653 (0.0675) loss_rec_sfr: 0.0661 (0.0957) loss_cl: -0.3677 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [02:34:45.022708] Epoch: [113] [420/850] eta: 0:06:13 lr: 0.002345 loss: 0.0313 (0.0315) loss_rec_all: 0.0672 (0.0675) loss_rec_sfr: 0.1029 (0.0960) loss_cl: -0.3670 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [02:35:02.267088] Epoch: [113] [440/850] eta: 0:05:56 lr: 0.002345 loss: 0.0318 (0.0315) loss_rec_all: 0.0674 (0.0676) loss_rec_sfr: 0.1069 (0.0967) loss_cl: -0.3674 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [02:35:19.476040] Epoch: [113] [460/850] eta: 0:05:38 lr: 0.002345 loss: 0.0318 (0.0316) loss_rec_all: 0.0675 (0.0676) loss_rec_sfr: 0.1252 (0.0975) loss_cl: -0.3673 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [02:35:36.716526] Epoch: [113] [480/850] eta: 0:05:21 lr: 0.002345 loss: 0.0297 (0.0315) loss_rec_all: 0.0659 (0.0676) loss_rec_sfr: 0.0790 (0.0974) loss_cl: -0.3674 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [02:35:53.924811] Epoch: [113] [500/850] eta: 0:05:03 lr: 0.002345 loss: 0.0298 (0.0315) loss_rec_all: 0.0657 (0.0675) loss_rec_sfr: 0.1142 (0.0978) loss_cl: -0.3673 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [02:36:11.173909] Epoch: [113] [520/850] eta: 0:04:46 lr: 0.002345 loss: 0.0301 (0.0315) loss_rec_all: 0.0664 (0.0676) loss_rec_sfr: 0.0868 (0.0980) loss_cl: -0.3674 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [02:36:28.373943] Epoch: [113] [540/850] eta: 0:04:28 lr: 0.002345 loss: 0.0310 (0.0316) loss_rec_all: 0.0672 (0.0676) loss_rec_sfr: 0.0796 (0.0978) loss_cl: -0.3673 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [02:36:45.616786] Epoch: [113] [560/850] eta: 0:04:11 lr: 0.002345 loss: 0.0328 (0.0317) loss_rec_all: 0.0687 (0.0677) loss_rec_sfr: 0.0991 (0.0979) loss_cl: -0.3671 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [02:37:02.817920] Epoch: [113] [580/850] eta: 0:03:54 lr: 0.002345 loss: 0.0292 (0.0317) loss_rec_all: 0.0654 (0.0677) loss_rec_sfr: 0.0833 (0.0980) loss_cl: -0.3674 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [02:37:20.057977] Epoch: [113] [600/850] eta: 0:03:36 lr: 0.002345 loss: 0.0316 (0.0317) loss_rec_all: 0.0676 (0.0677) loss_rec_sfr: 0.1038 (0.0982) loss_cl: -0.3676 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [02:37:37.253358] Epoch: [113] [620/850] eta: 0:03:19 lr: 0.002345 loss: 0.0306 (0.0317) loss_rec_all: 0.0669 (0.0677) loss_rec_sfr: 0.0705 (0.0978) loss_cl: -0.3673 (-0.3672) time: 0.8597 data: 0.0002 max mem: 29859 [02:37:54.507828] Epoch: [113] [640/850] eta: 0:03:01 lr: 0.002345 loss: 0.0319 (0.0317) loss_rec_all: 0.0681 (0.0678) loss_rec_sfr: 0.1033 (0.0980) loss_cl: -0.3673 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [02:38:11.707383] Epoch: [113] [660/850] eta: 0:02:44 lr: 0.002345 loss: 0.0328 (0.0318) loss_rec_all: 0.0690 (0.0678) loss_rec_sfr: 0.0830 (0.0980) loss_cl: -0.3667 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [02:38:28.950978] Epoch: [113] [680/850] eta: 0:02:27 lr: 0.002345 loss: 0.0317 (0.0318) loss_rec_all: 0.0676 (0.0679) loss_rec_sfr: 0.0782 (0.0980) loss_cl: -0.3673 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [02:38:46.154060] Epoch: [113] [700/850] eta: 0:02:09 lr: 0.002345 loss: 0.0321 (0.0318) loss_rec_all: 0.0680 (0.0679) loss_rec_sfr: 0.0799 (0.0981) loss_cl: -0.3674 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [02:39:03.393198] Epoch: [113] [720/850] eta: 0:01:52 lr: 0.002345 loss: 0.0312 (0.0318) loss_rec_all: 0.0674 (0.0679) loss_rec_sfr: 0.0783 (0.0980) loss_cl: -0.3672 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [02:39:20.593640] Epoch: [113] [740/850] eta: 0:01:35 lr: 0.002344 loss: 0.0333 (0.0319) loss_rec_all: 0.0694 (0.0679) loss_rec_sfr: 0.0862 (0.0979) loss_cl: -0.3671 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [02:39:37.831766] Epoch: [113] [760/850] eta: 0:01:17 lr: 0.002344 loss: 0.0310 (0.0319) loss_rec_all: 0.0669 (0.0679) loss_rec_sfr: 0.0874 (0.0979) loss_cl: -0.3668 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [02:39:55.034777] Epoch: [113] [780/850] eta: 0:01:00 lr: 0.002344 loss: 0.0306 (0.0319) loss_rec_all: 0.0665 (0.0679) loss_rec_sfr: 0.0716 (0.0978) loss_cl: -0.3666 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [02:40:12.280743] Epoch: [113] [800/850] eta: 0:00:43 lr: 0.002344 loss: 0.0327 (0.0319) loss_rec_all: 0.0688 (0.0679) loss_rec_sfr: 0.1024 (0.0980) loss_cl: -0.3671 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [02:40:29.491686] Epoch: [113] [820/850] eta: 0:00:25 lr: 0.002344 loss: 0.0310 (0.0319) loss_rec_all: 0.0670 (0.0679) loss_rec_sfr: 0.0823 (0.0979) loss_cl: -0.3677 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [02:40:46.750098] Epoch: [113] [840/850] eta: 0:00:08 lr: 0.002344 loss: 0.0309 (0.0319) loss_rec_all: 0.0666 (0.0679) loss_rec_sfr: 0.0848 (0.0979) loss_cl: -0.3677 (-0.3672) time: 0.8629 data: 0.0004 max mem: 29859 [02:40:54.497054] Epoch: [113] [849/850] eta: 0:00:00 lr: 0.002344 loss: 0.0309 (0.0319) loss_rec_all: 0.0666 (0.0680) loss_rec_sfr: 0.0991 (0.0980) loss_cl: -0.3675 (-0.3672) time: 0.8630 data: 0.0004 max mem: 29859 [02:40:54.629421] Epoch: [113] Total time: 0:12:15 (0.8654 s / it) [02:40:54.649199] Averaged stats: lr: 0.002344 loss: 0.0309 (0.0320) loss_rec_all: 0.0666 (0.0680) loss_rec_sfr: 0.0991 (0.0988) loss_cl: -0.3675 (-0.3672) [02:40:54.657236] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [02:40:59.024096] Epoch: [114] [ 0/850] eta: 1:01:51 lr: 0.002344 loss: 0.0279 (0.0279) loss_rec_all: 0.0639 (0.0639) loss_rec_sfr: 0.0780 (0.0780) loss_cl: -0.3662 (-0.3662) time: 4.3659 data: 3.5124 max mem: 29859 [02:41:16.186852] Epoch: [114] [ 20/850] eta: 0:14:10 lr: 0.002344 loss: 0.0287 (0.0298) loss_rec_all: 0.0648 (0.0658) loss_rec_sfr: 0.0778 (0.0951) loss_cl: -0.3669 (-0.3670) time: 0.8581 data: 0.0002 max mem: 29859 [02:41:33.390765] Epoch: [114] [ 40/850] eta: 0:12:45 lr: 0.002344 loss: 0.0288 (0.0295) loss_rec_all: 0.0649 (0.0656) loss_rec_sfr: 0.0689 (0.0915) loss_cl: -0.3673 (-0.3671) time: 0.8602 data: 0.0001 max mem: 29859 [02:41:50.587282] Epoch: [114] [ 60/850] eta: 0:12:04 lr: 0.002344 loss: 0.0276 (0.0294) loss_rec_all: 0.0637 (0.0655) loss_rec_sfr: 0.0732 (0.0897) loss_cl: -0.3673 (-0.3671) time: 0.8598 data: 0.0002 max mem: 29859 [02:42:07.814933] Epoch: [114] [ 80/850] eta: 0:11:35 lr: 0.002344 loss: 0.0295 (0.0296) loss_rec_all: 0.0656 (0.0657) loss_rec_sfr: 0.0799 (0.0912) loss_cl: -0.3675 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [02:42:25.034263] Epoch: [114] [100/850] eta: 0:11:11 lr: 0.002344 loss: 0.0301 (0.0300) loss_rec_all: 0.0660 (0.0661) loss_rec_sfr: 0.0725 (0.0917) loss_cl: -0.3673 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [02:42:42.270621] Epoch: [114] [120/850] eta: 0:10:49 lr: 0.002344 loss: 0.0318 (0.0304) loss_rec_all: 0.0677 (0.0664) loss_rec_sfr: 0.0849 (0.0926) loss_cl: -0.3669 (-0.3671) time: 0.8618 data: 0.0002 max mem: 29859 [02:42:59.496769] Epoch: [114] [140/850] eta: 0:10:28 lr: 0.002344 loss: 0.0327 (0.0309) loss_rec_all: 0.0690 (0.0670) loss_rec_sfr: 0.1034 (0.0941) loss_cl: -0.3668 (-0.3671) time: 0.8613 data: 0.0002 max mem: 29859 [02:43:16.742431] Epoch: [114] [160/850] eta: 0:10:08 lr: 0.002344 loss: 0.0308 (0.0310) loss_rec_all: 0.0666 (0.0671) loss_rec_sfr: 0.1048 (0.0945) loss_cl: -0.3667 (-0.3670) time: 0.8622 data: 0.0002 max mem: 29859 [02:43:33.944247] Epoch: [114] [180/850] eta: 0:09:49 lr: 0.002344 loss: 0.0316 (0.0311) loss_rec_all: 0.0673 (0.0672) loss_rec_sfr: 0.1025 (0.0955) loss_cl: -0.3668 (-0.3670) time: 0.8601 data: 0.0002 max mem: 29859 [02:43:51.188646] Epoch: [114] [200/850] eta: 0:09:30 lr: 0.002344 loss: 0.0295 (0.0311) loss_rec_all: 0.0657 (0.0671) loss_rec_sfr: 0.0762 (0.0956) loss_cl: -0.3675 (-0.3671) time: 0.8622 data: 0.0001 max mem: 29859 [02:44:08.390175] Epoch: [114] [220/850] eta: 0:09:12 lr: 0.002344 loss: 0.0296 (0.0310) loss_rec_all: 0.0658 (0.0670) loss_rec_sfr: 0.0823 (0.0955) loss_cl: -0.3680 (-0.3671) time: 0.8600 data: 0.0001 max mem: 29859 [02:44:25.644123] Epoch: [114] [240/850] eta: 0:08:54 lr: 0.002344 loss: 0.0305 (0.0311) loss_rec_all: 0.0667 (0.0671) loss_rec_sfr: 0.1013 (0.0961) loss_cl: -0.3682 (-0.3672) time: 0.8627 data: 0.0001 max mem: 29859 [02:44:42.846666] Epoch: [114] [260/850] eta: 0:08:35 lr: 0.002344 loss: 0.0323 (0.0312) loss_rec_all: 0.0684 (0.0673) loss_rec_sfr: 0.1136 (0.0975) loss_cl: -0.3680 (-0.3673) time: 0.8601 data: 0.0001 max mem: 29859 [02:45:00.103949] Epoch: [114] [280/850] eta: 0:08:17 lr: 0.002344 loss: 0.0303 (0.0312) loss_rec_all: 0.0666 (0.0673) loss_rec_sfr: 0.0728 (0.0969) loss_cl: -0.3673 (-0.3673) time: 0.8628 data: 0.0001 max mem: 29859 [02:45:17.316421] Epoch: [114] [300/850] eta: 0:07:59 lr: 0.002344 loss: 0.0330 (0.0314) loss_rec_all: 0.0686 (0.0674) loss_rec_sfr: 0.1021 (0.0974) loss_cl: -0.3667 (-0.3672) time: 0.8606 data: 0.0001 max mem: 29859 [02:45:34.568767] Epoch: [114] [320/850] eta: 0:07:42 lr: 0.002344 loss: 0.0309 (0.0315) loss_rec_all: 0.0672 (0.0675) loss_rec_sfr: 0.1006 (0.0978) loss_cl: -0.3669 (-0.3672) time: 0.8626 data: 0.0001 max mem: 29859 [02:45:51.773928] Epoch: [114] [340/850] eta: 0:07:24 lr: 0.002344 loss: 0.0308 (0.0316) loss_rec_all: 0.0670 (0.0676) loss_rec_sfr: 0.1090 (0.0982) loss_cl: -0.3671 (-0.3672) time: 0.8602 data: 0.0001 max mem: 29859 [02:46:09.023106] Epoch: [114] [360/850] eta: 0:07:06 lr: 0.002344 loss: 0.0327 (0.0317) loss_rec_all: 0.0689 (0.0677) loss_rec_sfr: 0.0832 (0.0985) loss_cl: -0.3673 (-0.3672) time: 0.8624 data: 0.0001 max mem: 29859 [02:46:26.238460] Epoch: [114] [380/850] eta: 0:06:49 lr: 0.002344 loss: 0.0319 (0.0318) loss_rec_all: 0.0681 (0.0678) loss_rec_sfr: 0.0848 (0.0983) loss_cl: -0.3675 (-0.3672) time: 0.8607 data: 0.0001 max mem: 29859 [02:46:43.483638] Epoch: [114] [400/850] eta: 0:06:31 lr: 0.002344 loss: 0.0339 (0.0319) loss_rec_all: 0.0696 (0.0679) loss_rec_sfr: 0.0987 (0.0987) loss_cl: -0.3672 (-0.3672) time: 0.8622 data: 0.0001 max mem: 29859 [02:47:00.696289] Epoch: [114] [420/850] eta: 0:06:13 lr: 0.002344 loss: 0.0323 (0.0320) loss_rec_all: 0.0684 (0.0680) loss_rec_sfr: 0.0799 (0.0986) loss_cl: -0.3670 (-0.3672) time: 0.8606 data: 0.0001 max mem: 29859 [02:47:17.935057] Epoch: [114] [440/850] eta: 0:05:56 lr: 0.002344 loss: 0.0321 (0.0320) loss_rec_all: 0.0677 (0.0680) loss_rec_sfr: 0.1078 (0.0988) loss_cl: -0.3670 (-0.3672) time: 0.8619 data: 0.0001 max mem: 29859 [02:47:35.151182] Epoch: [114] [460/850] eta: 0:05:38 lr: 0.002343 loss: 0.0315 (0.0320) loss_rec_all: 0.0676 (0.0680) loss_rec_sfr: 0.0749 (0.0987) loss_cl: -0.3675 (-0.3672) time: 0.8608 data: 0.0001 max mem: 29859 [02:47:52.391859] Epoch: [114] [480/850] eta: 0:05:21 lr: 0.002343 loss: 0.0300 (0.0319) loss_rec_all: 0.0658 (0.0679) loss_rec_sfr: 0.0780 (0.0983) loss_cl: -0.3677 (-0.3672) time: 0.8620 data: 0.0001 max mem: 29859 [02:48:09.605248] Epoch: [114] [500/850] eta: 0:05:03 lr: 0.002343 loss: 0.0306 (0.0319) loss_rec_all: 0.0664 (0.0679) loss_rec_sfr: 0.0803 (0.0984) loss_cl: -0.3676 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [02:48:26.849766] Epoch: [114] [520/850] eta: 0:04:46 lr: 0.002343 loss: 0.0298 (0.0318) loss_rec_all: 0.0657 (0.0678) loss_rec_sfr: 0.0781 (0.0982) loss_cl: -0.3671 (-0.3672) time: 0.8622 data: 0.0001 max mem: 29859 [02:48:44.070386] Epoch: [114] [540/850] eta: 0:04:28 lr: 0.002343 loss: 0.0294 (0.0318) loss_rec_all: 0.0656 (0.0678) loss_rec_sfr: 0.0999 (0.0981) loss_cl: -0.3675 (-0.3672) time: 0.8610 data: 0.0002 max mem: 29859 [02:49:01.311803] Epoch: [114] [560/850] eta: 0:04:11 lr: 0.002343 loss: 0.0303 (0.0317) loss_rec_all: 0.0660 (0.0678) loss_rec_sfr: 0.1030 (0.0984) loss_cl: -0.3671 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [02:49:18.526801] Epoch: [114] [580/850] eta: 0:03:54 lr: 0.002343 loss: 0.0309 (0.0318) loss_rec_all: 0.0668 (0.0678) loss_rec_sfr: 0.0781 (0.0983) loss_cl: -0.3669 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [02:49:35.789803] Epoch: [114] [600/850] eta: 0:03:36 lr: 0.002343 loss: 0.0331 (0.0319) loss_rec_all: 0.0688 (0.0679) loss_rec_sfr: 0.1194 (0.0987) loss_cl: -0.3664 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [02:49:52.998455] Epoch: [114] [620/850] eta: 0:03:19 lr: 0.002343 loss: 0.0356 (0.0320) loss_rec_all: 0.0717 (0.0681) loss_rec_sfr: 0.0944 (0.0988) loss_cl: -0.3671 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [02:50:10.261771] Epoch: [114] [640/850] eta: 0:03:02 lr: 0.002343 loss: 0.0354 (0.0322) loss_rec_all: 0.0711 (0.0682) loss_rec_sfr: 0.0841 (0.0991) loss_cl: -0.3672 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [02:50:27.475770] Epoch: [114] [660/850] eta: 0:02:44 lr: 0.002343 loss: 0.0341 (0.0323) loss_rec_all: 0.0701 (0.0683) loss_rec_sfr: 0.0848 (0.0991) loss_cl: -0.3671 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [02:50:44.742362] Epoch: [114] [680/850] eta: 0:02:27 lr: 0.002343 loss: 0.0336 (0.0323) loss_rec_all: 0.0698 (0.0684) loss_rec_sfr: 0.0929 (0.0992) loss_cl: -0.3674 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [02:51:01.947542] Epoch: [114] [700/850] eta: 0:02:09 lr: 0.002343 loss: 0.0312 (0.0323) loss_rec_all: 0.0674 (0.0684) loss_rec_sfr: 0.0816 (0.0990) loss_cl: -0.3674 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [02:51:19.216242] Epoch: [114] [720/850] eta: 0:01:52 lr: 0.002343 loss: 0.0314 (0.0323) loss_rec_all: 0.0675 (0.0684) loss_rec_sfr: 0.0838 (0.0990) loss_cl: -0.3670 (-0.3672) time: 0.8634 data: 0.0002 max mem: 29859 [02:51:36.430466] Epoch: [114] [740/850] eta: 0:01:35 lr: 0.002343 loss: 0.0304 (0.0323) loss_rec_all: 0.0665 (0.0683) loss_rec_sfr: 0.1036 (0.0990) loss_cl: -0.3672 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [02:51:53.683415] Epoch: [114] [760/850] eta: 0:01:17 lr: 0.002343 loss: 0.0297 (0.0323) loss_rec_all: 0.0654 (0.0683) loss_rec_sfr: 0.1034 (0.0991) loss_cl: -0.3672 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [02:52:10.907519] Epoch: [114] [780/850] eta: 0:01:00 lr: 0.002343 loss: 0.0301 (0.0322) loss_rec_all: 0.0661 (0.0683) loss_rec_sfr: 0.1062 (0.0992) loss_cl: -0.3675 (-0.3672) time: 0.8612 data: 0.0002 max mem: 29859 [02:52:28.170831] Epoch: [114] [800/850] eta: 0:00:43 lr: 0.002343 loss: 0.0293 (0.0322) loss_rec_all: 0.0657 (0.0682) loss_rec_sfr: 0.0673 (0.0989) loss_cl: -0.3675 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [02:52:45.412412] Epoch: [114] [820/850] eta: 0:00:25 lr: 0.002343 loss: 0.0302 (0.0321) loss_rec_all: 0.0665 (0.0681) loss_rec_sfr: 0.0745 (0.0987) loss_cl: -0.3672 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [02:53:02.658700] Epoch: [114] [840/850] eta: 0:00:08 lr: 0.002343 loss: 0.0314 (0.0321) loss_rec_all: 0.0673 (0.0681) loss_rec_sfr: 0.1018 (0.0987) loss_cl: -0.3672 (-0.3672) time: 0.8623 data: 0.0004 max mem: 29859 [02:53:10.400841] Epoch: [114] [849/850] eta: 0:00:00 lr: 0.002343 loss: 0.0303 (0.0321) loss_rec_all: 0.0661 (0.0681) loss_rec_sfr: 0.0971 (0.0987) loss_cl: -0.3667 (-0.3672) time: 0.8621 data: 0.0004 max mem: 29859 [02:53:10.576009] Epoch: [114] Total time: 0:12:15 (0.8658 s / it) [02:53:10.578446] Averaged stats: lr: 0.002343 loss: 0.0303 (0.0320) loss_rec_all: 0.0661 (0.0681) loss_rec_sfr: 0.0971 (0.0976) loss_cl: -0.3667 (-0.3672) [02:53:10.590878] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [02:53:14.918441] Epoch: [115] [ 0/850] eta: 1:01:17 lr: 0.002343 loss: 0.0278 (0.0278) loss_rec_all: 0.0640 (0.0640) loss_rec_sfr: 0.0734 (0.0734) loss_cl: -0.3671 (-0.3671) time: 4.3264 data: 3.2133 max mem: 29859 [02:53:32.114286] Epoch: [115] [ 20/850] eta: 0:14:10 lr: 0.002343 loss: 0.0296 (0.0305) loss_rec_all: 0.0658 (0.0665) loss_rec_sfr: 0.0790 (0.0959) loss_cl: -0.3670 (-0.3669) time: 0.8597 data: 0.0002 max mem: 29859 [02:53:49.341112] Epoch: [115] [ 40/850] eta: 0:12:45 lr: 0.002343 loss: 0.0308 (0.0310) loss_rec_all: 0.0667 (0.0670) loss_rec_sfr: 0.1012 (0.0986) loss_cl: -0.3676 (-0.3674) time: 0.8613 data: 0.0002 max mem: 29859 [02:54:06.564436] Epoch: [115] [ 60/850] eta: 0:12:04 lr: 0.002343 loss: 0.0308 (0.0310) loss_rec_all: 0.0670 (0.0671) loss_rec_sfr: 0.0725 (0.0986) loss_cl: -0.3679 (-0.3676) time: 0.8611 data: 0.0002 max mem: 29859 [02:54:23.803760] Epoch: [115] [ 80/850] eta: 0:11:35 lr: 0.002343 loss: 0.0302 (0.0312) loss_rec_all: 0.0662 (0.0673) loss_rec_sfr: 0.1027 (0.0995) loss_cl: -0.3675 (-0.3676) time: 0.8619 data: 0.0002 max mem: 29859 [02:54:41.020592] Epoch: [115] [100/850] eta: 0:11:11 lr: 0.002343 loss: 0.0286 (0.0309) loss_rec_all: 0.0645 (0.0670) loss_rec_sfr: 0.0989 (0.0994) loss_cl: -0.3667 (-0.3674) time: 0.8608 data: 0.0002 max mem: 29859 [02:54:58.272642] Epoch: [115] [120/850] eta: 0:10:49 lr: 0.002343 loss: 0.0309 (0.0310) loss_rec_all: 0.0671 (0.0670) loss_rec_sfr: 0.0864 (0.0991) loss_cl: -0.3661 (-0.3671) time: 0.8626 data: 0.0002 max mem: 29859 [02:55:15.488673] Epoch: [115] [140/850] eta: 0:10:28 lr: 0.002343 loss: 0.0331 (0.0315) loss_rec_all: 0.0693 (0.0676) loss_rec_sfr: 0.1104 (0.0998) loss_cl: -0.3668 (-0.3671) time: 0.8608 data: 0.0002 max mem: 29859 [02:55:32.741837] Epoch: [115] [160/850] eta: 0:10:09 lr: 0.002343 loss: 0.0324 (0.0320) loss_rec_all: 0.0682 (0.0680) loss_rec_sfr: 0.0809 (0.0997) loss_cl: -0.3675 (-0.3671) time: 0.8626 data: 0.0002 max mem: 29859 [02:55:49.976036] Epoch: [115] [180/850] eta: 0:09:49 lr: 0.002342 loss: 0.0336 (0.0323) loss_rec_all: 0.0693 (0.0683) loss_rec_sfr: 0.1055 (0.1002) loss_cl: -0.3676 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [02:56:07.227255] Epoch: [115] [200/850] eta: 0:09:31 lr: 0.002342 loss: 0.0322 (0.0324) loss_rec_all: 0.0680 (0.0685) loss_rec_sfr: 0.1051 (0.1008) loss_cl: -0.3679 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [02:56:24.459165] Epoch: [115] [220/850] eta: 0:09:12 lr: 0.002342 loss: 0.0349 (0.0330) loss_rec_all: 0.0706 (0.0690) loss_rec_sfr: 0.1217 (0.1019) loss_cl: -0.3672 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [02:56:41.706225] Epoch: [115] [240/850] eta: 0:08:54 lr: 0.002342 loss: 0.0340 (0.0331) loss_rec_all: 0.0700 (0.0691) loss_rec_sfr: 0.0803 (0.1017) loss_cl: -0.3667 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [02:56:58.927746] Epoch: [115] [260/850] eta: 0:08:36 lr: 0.002342 loss: 0.0330 (0.0331) loss_rec_all: 0.0690 (0.0691) loss_rec_sfr: 0.0900 (0.1018) loss_cl: -0.3669 (-0.3671) time: 0.8610 data: 0.0002 max mem: 29859 [02:57:16.180597] Epoch: [115] [280/850] eta: 0:08:18 lr: 0.002342 loss: 0.0324 (0.0331) loss_rec_all: 0.0683 (0.0691) loss_rec_sfr: 0.1031 (0.1018) loss_cl: -0.3668 (-0.3671) time: 0.8626 data: 0.0002 max mem: 29859 [02:57:33.397536] Epoch: [115] [300/850] eta: 0:08:00 lr: 0.002342 loss: 0.0313 (0.0331) loss_rec_all: 0.0674 (0.0691) loss_rec_sfr: 0.0813 (0.1014) loss_cl: -0.3671 (-0.3671) time: 0.8608 data: 0.0002 max mem: 29859 [02:57:50.678253] Epoch: [115] [320/850] eta: 0:07:42 lr: 0.002342 loss: 0.0307 (0.0331) loss_rec_all: 0.0668 (0.0691) loss_rec_sfr: 0.0826 (0.1008) loss_cl: -0.3674 (-0.3671) time: 0.8640 data: 0.0002 max mem: 29859 [02:58:07.891023] Epoch: [115] [340/850] eta: 0:07:24 lr: 0.002342 loss: 0.0326 (0.0331) loss_rec_all: 0.0686 (0.0691) loss_rec_sfr: 0.1074 (0.1010) loss_cl: -0.3678 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [02:58:25.148811] Epoch: [115] [360/850] eta: 0:07:06 lr: 0.002342 loss: 0.0315 (0.0330) loss_rec_all: 0.0673 (0.0690) loss_rec_sfr: 0.1135 (0.1012) loss_cl: -0.3675 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [02:58:42.369330] Epoch: [115] [380/850] eta: 0:06:49 lr: 0.002342 loss: 0.0294 (0.0329) loss_rec_all: 0.0655 (0.0689) loss_rec_sfr: 0.0728 (0.1007) loss_cl: -0.3672 (-0.3672) time: 0.8610 data: 0.0002 max mem: 29859 [02:58:59.621673] Epoch: [115] [400/850] eta: 0:06:31 lr: 0.002342 loss: 0.0314 (0.0329) loss_rec_all: 0.0674 (0.0689) loss_rec_sfr: 0.0982 (0.1005) loss_cl: -0.3674 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [02:59:16.845846] Epoch: [115] [420/850] eta: 0:06:14 lr: 0.002342 loss: 0.0303 (0.0328) loss_rec_all: 0.0664 (0.0689) loss_rec_sfr: 0.1068 (0.1008) loss_cl: -0.3678 (-0.3672) time: 0.8612 data: 0.0002 max mem: 29859 [02:59:34.100591] Epoch: [115] [440/850] eta: 0:05:56 lr: 0.002342 loss: 0.0298 (0.0327) loss_rec_all: 0.0661 (0.0687) loss_rec_sfr: 0.0837 (0.1006) loss_cl: -0.3677 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [02:59:51.321191] Epoch: [115] [460/850] eta: 0:05:38 lr: 0.002342 loss: 0.0287 (0.0326) loss_rec_all: 0.0649 (0.0686) loss_rec_sfr: 0.0756 (0.1005) loss_cl: -0.3676 (-0.3672) time: 0.8610 data: 0.0002 max mem: 29859 [03:00:08.592755] Epoch: [115] [480/850] eta: 0:05:21 lr: 0.002342 loss: 0.0295 (0.0325) loss_rec_all: 0.0658 (0.0685) loss_rec_sfr: 0.0996 (0.1005) loss_cl: -0.3674 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [03:00:25.805948] Epoch: [115] [500/850] eta: 0:05:04 lr: 0.002342 loss: 0.0304 (0.0324) loss_rec_all: 0.0662 (0.0685) loss_rec_sfr: 0.0873 (0.1007) loss_cl: -0.3672 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [03:00:43.073652] Epoch: [115] [520/850] eta: 0:04:46 lr: 0.002342 loss: 0.0329 (0.0325) loss_rec_all: 0.0685 (0.0685) loss_rec_sfr: 0.1057 (0.1011) loss_cl: -0.3666 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [03:01:00.299728] Epoch: [115] [540/850] eta: 0:04:29 lr: 0.002342 loss: 0.0306 (0.0325) loss_rec_all: 0.0664 (0.0685) loss_rec_sfr: 0.0921 (0.1010) loss_cl: -0.3666 (-0.3672) time: 0.8613 data: 0.0002 max mem: 29859 [03:01:17.561796] Epoch: [115] [560/850] eta: 0:04:11 lr: 0.002342 loss: 0.0310 (0.0324) loss_rec_all: 0.0668 (0.0684) loss_rec_sfr: 0.0720 (0.1009) loss_cl: -0.3672 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [03:01:34.777573] Epoch: [115] [580/850] eta: 0:03:54 lr: 0.002342 loss: 0.0304 (0.0324) loss_rec_all: 0.0666 (0.0684) loss_rec_sfr: 0.0867 (0.1007) loss_cl: -0.3676 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [03:01:52.074732] Epoch: [115] [600/850] eta: 0:03:36 lr: 0.002342 loss: 0.0295 (0.0323) loss_rec_all: 0.0657 (0.0684) loss_rec_sfr: 0.0758 (0.1005) loss_cl: -0.3676 (-0.3672) time: 0.8647 data: 0.0002 max mem: 29859 [03:02:09.285607] Epoch: [115] [620/850] eta: 0:03:19 lr: 0.002342 loss: 0.0313 (0.0323) loss_rec_all: 0.0673 (0.0683) loss_rec_sfr: 0.1029 (0.1006) loss_cl: -0.3672 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [03:02:26.551520] Epoch: [115] [640/850] eta: 0:03:02 lr: 0.002342 loss: 0.0307 (0.0323) loss_rec_all: 0.0665 (0.0683) loss_rec_sfr: 0.0757 (0.1005) loss_cl: -0.3669 (-0.3672) time: 0.8632 data: 0.0002 max mem: 29859 [03:02:43.757192] Epoch: [115] [660/850] eta: 0:02:44 lr: 0.002342 loss: 0.0323 (0.0323) loss_rec_all: 0.0685 (0.0683) loss_rec_sfr: 0.1175 (0.1011) loss_cl: -0.3669 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [03:03:01.014007] Epoch: [115] [680/850] eta: 0:02:27 lr: 0.002342 loss: 0.0317 (0.0323) loss_rec_all: 0.0675 (0.0684) loss_rec_sfr: 0.1060 (0.1011) loss_cl: -0.3673 (-0.3672) time: 0.8628 data: 0.0001 max mem: 29859 [03:03:18.229948] Epoch: [115] [700/850] eta: 0:02:10 lr: 0.002342 loss: 0.0299 (0.0323) loss_rec_all: 0.0661 (0.0683) loss_rec_sfr: 0.0684 (0.1007) loss_cl: -0.3670 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [03:03:35.466749] Epoch: [115] [720/850] eta: 0:01:52 lr: 0.002342 loss: 0.0315 (0.0323) loss_rec_all: 0.0675 (0.0683) loss_rec_sfr: 0.1033 (0.1007) loss_cl: -0.3671 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [03:03:52.688701] Epoch: [115] [740/850] eta: 0:01:35 lr: 0.002341 loss: 0.0302 (0.0323) loss_rec_all: 0.0662 (0.0683) loss_rec_sfr: 0.0745 (0.1005) loss_cl: -0.3669 (-0.3672) time: 0.8610 data: 0.0002 max mem: 29859 [03:04:09.929117] Epoch: [115] [760/850] eta: 0:01:17 lr: 0.002341 loss: 0.0304 (0.0323) loss_rec_all: 0.0664 (0.0683) loss_rec_sfr: 0.1021 (0.1003) loss_cl: -0.3669 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [03:04:27.177224] Epoch: [115] [780/850] eta: 0:01:00 lr: 0.002341 loss: 0.0297 (0.0322) loss_rec_all: 0.0658 (0.0682) loss_rec_sfr: 0.0785 (0.0999) loss_cl: -0.3668 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [03:04:44.422950] Epoch: [115] [800/850] eta: 0:00:43 lr: 0.002341 loss: 0.0299 (0.0322) loss_rec_all: 0.0660 (0.0682) loss_rec_sfr: 0.0997 (0.0999) loss_cl: -0.3672 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [03:05:01.634176] Epoch: [115] [820/850] eta: 0:00:25 lr: 0.002341 loss: 0.0305 (0.0322) loss_rec_all: 0.0667 (0.0682) loss_rec_sfr: 0.0800 (0.0999) loss_cl: -0.3676 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [03:05:18.887427] Epoch: [115] [840/850] eta: 0:00:08 lr: 0.002341 loss: 0.0302 (0.0321) loss_rec_all: 0.0661 (0.0682) loss_rec_sfr: 0.1068 (0.0999) loss_cl: -0.3681 (-0.3672) time: 0.8626 data: 0.0004 max mem: 29859 [03:05:26.637393] Epoch: [115] [849/850] eta: 0:00:00 lr: 0.002341 loss: 0.0308 (0.0321) loss_rec_all: 0.0668 (0.0682) loss_rec_sfr: 0.1113 (0.0999) loss_cl: -0.3680 (-0.3672) time: 0.8627 data: 0.0004 max mem: 29859 [03:05:26.796334] Epoch: [115] Total time: 0:12:16 (0.8661 s / it) [03:05:26.799704] Averaged stats: lr: 0.002341 loss: 0.0308 (0.0321) loss_rec_all: 0.0668 (0.0681) loss_rec_sfr: 0.1113 (0.0994) loss_cl: -0.3680 (-0.3672) [03:05:26.815284] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [03:05:31.216926] Epoch: [116] [ 0/850] eta: 1:02:20 lr: 0.002341 loss: 0.0261 (0.0261) loss_rec_all: 0.0624 (0.0624) loss_rec_sfr: 0.0604 (0.0604) loss_cl: -0.3674 (-0.3674) time: 4.4005 data: 3.5434 max mem: 29859 [03:05:48.398929] Epoch: [116] [ 20/850] eta: 0:14:12 lr: 0.002341 loss: 0.0346 (0.0358) loss_rec_all: 0.0710 (0.0719) loss_rec_sfr: 0.0802 (0.0942) loss_cl: -0.3683 (-0.3682) time: 0.8591 data: 0.0002 max mem: 29859 [03:06:05.637092] Epoch: [116] [ 40/850] eta: 0:12:46 lr: 0.002341 loss: 0.0414 (0.0401) loss_rec_all: 0.0777 (0.0762) loss_rec_sfr: 0.1194 (0.1041) loss_cl: -0.3680 (-0.3681) time: 0.8619 data: 0.0002 max mem: 29859 [03:06:22.844374] Epoch: [116] [ 60/850] eta: 0:12:05 lr: 0.002341 loss: 0.0448 (0.0426) loss_rec_all: 0.0808 (0.0786) loss_rec_sfr: 0.1127 (0.1116) loss_cl: -0.3673 (-0.3678) time: 0.8603 data: 0.0002 max mem: 29859 [03:06:40.084045] Epoch: [116] [ 80/850] eta: 0:11:36 lr: 0.002341 loss: 0.0407 (0.0422) loss_rec_all: 0.0766 (0.0782) loss_rec_sfr: 0.0932 (0.1138) loss_cl: -0.3675 (-0.3677) time: 0.8619 data: 0.0002 max mem: 29859 [03:06:57.349623] Epoch: [116] [100/850] eta: 0:11:12 lr: 0.002341 loss: 0.0404 (0.0421) loss_rec_all: 0.0766 (0.0781) loss_rec_sfr: 0.0885 (0.1121) loss_cl: -0.3677 (-0.3677) time: 0.8632 data: 0.0002 max mem: 29859 [03:07:14.596041] Epoch: [116] [120/850] eta: 0:10:50 lr: 0.002341 loss: 0.0418 (0.0423) loss_rec_all: 0.0775 (0.0783) loss_rec_sfr: 0.1236 (0.1122) loss_cl: -0.3677 (-0.3677) time: 0.8623 data: 0.0002 max mem: 29859 [03:07:31.814910] Epoch: [116] [140/850] eta: 0:10:29 lr: 0.002341 loss: 0.0382 (0.0418) loss_rec_all: 0.0740 (0.0777) loss_rec_sfr: 0.0920 (0.1126) loss_cl: -0.3671 (-0.3676) time: 0.8609 data: 0.0002 max mem: 29859 [03:07:49.113849] Epoch: [116] [160/850] eta: 0:10:09 lr: 0.002341 loss: 0.0355 (0.0411) loss_rec_all: 0.0717 (0.0770) loss_rec_sfr: 0.0916 (0.1122) loss_cl: -0.3668 (-0.3675) time: 0.8649 data: 0.0002 max mem: 29859 [03:08:06.325972] Epoch: [116] [180/850] eta: 0:09:50 lr: 0.002341 loss: 0.0340 (0.0405) loss_rec_all: 0.0701 (0.0765) loss_rec_sfr: 0.1082 (0.1113) loss_cl: -0.3664 (-0.3673) time: 0.8606 data: 0.0002 max mem: 29859 [03:08:23.595998] Epoch: [116] [200/850] eta: 0:09:31 lr: 0.002341 loss: 0.0318 (0.0398) loss_rec_all: 0.0679 (0.0758) loss_rec_sfr: 0.0818 (0.1095) loss_cl: -0.3678 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [03:08:40.796388] Epoch: [116] [220/850] eta: 0:09:12 lr: 0.002341 loss: 0.0301 (0.0390) loss_rec_all: 0.0662 (0.0750) loss_rec_sfr: 0.0747 (0.1080) loss_cl: -0.3679 (-0.3674) time: 0.8600 data: 0.0002 max mem: 29859 [03:08:58.057243] Epoch: [116] [240/850] eta: 0:08:54 lr: 0.002341 loss: 0.0317 (0.0385) loss_rec_all: 0.0681 (0.0745) loss_rec_sfr: 0.0780 (0.1069) loss_cl: -0.3677 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [03:09:15.282370] Epoch: [116] [260/850] eta: 0:08:36 lr: 0.002341 loss: 0.0311 (0.0380) loss_rec_all: 0.0673 (0.0740) loss_rec_sfr: 0.1030 (0.1062) loss_cl: -0.3668 (-0.3674) time: 0.8612 data: 0.0002 max mem: 29859 [03:09:32.546809] Epoch: [116] [280/850] eta: 0:08:18 lr: 0.002341 loss: 0.0288 (0.0374) loss_rec_all: 0.0649 (0.0734) loss_rec_sfr: 0.0743 (0.1048) loss_cl: -0.3676 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [03:09:49.752077] Epoch: [116] [300/850] eta: 0:08:00 lr: 0.002341 loss: 0.0294 (0.0370) loss_rec_all: 0.0653 (0.0730) loss_rec_sfr: 0.0820 (0.1040) loss_cl: -0.3670 (-0.3674) time: 0.8602 data: 0.0002 max mem: 29859 [03:10:07.021141] Epoch: [116] [320/850] eta: 0:07:42 lr: 0.002341 loss: 0.0310 (0.0367) loss_rec_all: 0.0673 (0.0727) loss_rec_sfr: 0.1001 (0.1039) loss_cl: -0.3667 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [03:10:24.228872] Epoch: [116] [340/850] eta: 0:07:24 lr: 0.002341 loss: 0.0295 (0.0363) loss_rec_all: 0.0658 (0.0723) loss_rec_sfr: 0.0742 (0.1033) loss_cl: -0.3674 (-0.3673) time: 0.8603 data: 0.0002 max mem: 29859 [03:10:41.487793] Epoch: [116] [360/850] eta: 0:07:07 lr: 0.002341 loss: 0.0287 (0.0360) loss_rec_all: 0.0649 (0.0720) loss_rec_sfr: 0.0735 (0.1022) loss_cl: -0.3671 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [03:10:58.697522] Epoch: [116] [380/850] eta: 0:06:49 lr: 0.002341 loss: 0.0292 (0.0356) loss_rec_all: 0.0650 (0.0717) loss_rec_sfr: 0.0725 (0.1015) loss_cl: -0.3672 (-0.3673) time: 0.8604 data: 0.0002 max mem: 29859 [03:11:15.941812] Epoch: [116] [400/850] eta: 0:06:31 lr: 0.002341 loss: 0.0284 (0.0353) loss_rec_all: 0.0646 (0.0714) loss_rec_sfr: 0.0661 (0.1007) loss_cl: -0.3673 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [03:11:33.153845] Epoch: [116] [420/850] eta: 0:06:14 lr: 0.002341 loss: 0.0278 (0.0350) loss_rec_all: 0.0640 (0.0710) loss_rec_sfr: 0.0706 (0.1001) loss_cl: -0.3676 (-0.3673) time: 0.8606 data: 0.0002 max mem: 29859 [03:11:50.420557] Epoch: [116] [440/850] eta: 0:05:56 lr: 0.002340 loss: 0.0271 (0.0347) loss_rec_all: 0.0634 (0.0708) loss_rec_sfr: 0.0767 (0.0997) loss_cl: -0.3675 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [03:12:07.631606] Epoch: [116] [460/850] eta: 0:05:39 lr: 0.002340 loss: 0.0316 (0.0346) loss_rec_all: 0.0674 (0.0707) loss_rec_sfr: 0.1009 (0.0997) loss_cl: -0.3670 (-0.3673) time: 0.8605 data: 0.0002 max mem: 29859 [03:12:24.885175] Epoch: [116] [480/850] eta: 0:05:21 lr: 0.002340 loss: 0.0330 (0.0345) loss_rec_all: 0.0688 (0.0706) loss_rec_sfr: 0.1049 (0.1002) loss_cl: -0.3671 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [03:12:42.098477] Epoch: [116] [500/850] eta: 0:05:04 lr: 0.002340 loss: 0.0314 (0.0344) loss_rec_all: 0.0676 (0.0705) loss_rec_sfr: 0.0864 (0.1002) loss_cl: -0.3671 (-0.3673) time: 0.8606 data: 0.0002 max mem: 29859 [03:12:59.352564] Epoch: [116] [520/850] eta: 0:04:46 lr: 0.002340 loss: 0.0311 (0.0343) loss_rec_all: 0.0668 (0.0703) loss_rec_sfr: 0.0931 (0.1002) loss_cl: -0.3667 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [03:13:16.562757] Epoch: [116] [540/850] eta: 0:04:29 lr: 0.002340 loss: 0.0313 (0.0343) loss_rec_all: 0.0670 (0.0703) loss_rec_sfr: 0.1049 (0.1002) loss_cl: -0.3668 (-0.3673) time: 0.8605 data: 0.0002 max mem: 29859 [03:13:33.812210] Epoch: [116] [560/850] eta: 0:04:11 lr: 0.002340 loss: 0.0309 (0.0342) loss_rec_all: 0.0669 (0.0702) loss_rec_sfr: 0.0929 (0.0998) loss_cl: -0.3673 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [03:13:51.072581] Epoch: [116] [580/850] eta: 0:03:54 lr: 0.002340 loss: 0.0311 (0.0341) loss_rec_all: 0.0671 (0.0701) loss_rec_sfr: 0.1038 (0.0999) loss_cl: -0.3677 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [03:14:08.330442] Epoch: [116] [600/850] eta: 0:03:36 lr: 0.002340 loss: 0.0315 (0.0341) loss_rec_all: 0.0676 (0.0701) loss_rec_sfr: 0.0891 (0.0997) loss_cl: -0.3677 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [03:14:25.553236] Epoch: [116] [620/850] eta: 0:03:19 lr: 0.002340 loss: 0.0316 (0.0340) loss_rec_all: 0.0676 (0.0700) loss_rec_sfr: 0.1013 (0.0998) loss_cl: -0.3676 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [03:14:42.796421] Epoch: [116] [640/850] eta: 0:03:02 lr: 0.002340 loss: 0.0300 (0.0339) loss_rec_all: 0.0659 (0.0699) loss_rec_sfr: 0.0801 (0.0993) loss_cl: -0.3675 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [03:14:59.999389] Epoch: [116] [660/850] eta: 0:02:44 lr: 0.002340 loss: 0.0296 (0.0338) loss_rec_all: 0.0657 (0.0698) loss_rec_sfr: 0.0792 (0.0993) loss_cl: -0.3674 (-0.3673) time: 0.8601 data: 0.0002 max mem: 29859 [03:15:17.235108] Epoch: [116] [680/850] eta: 0:02:27 lr: 0.002340 loss: 0.0295 (0.0337) loss_rec_all: 0.0655 (0.0697) loss_rec_sfr: 0.0814 (0.0993) loss_cl: -0.3670 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [03:15:34.432867] Epoch: [116] [700/850] eta: 0:02:10 lr: 0.002340 loss: 0.0285 (0.0336) loss_rec_all: 0.0647 (0.0696) loss_rec_sfr: 0.0766 (0.0992) loss_cl: -0.3671 (-0.3673) time: 0.8598 data: 0.0002 max mem: 29859 [03:15:51.670005] Epoch: [116] [720/850] eta: 0:01:52 lr: 0.002340 loss: 0.0307 (0.0335) loss_rec_all: 0.0669 (0.0695) loss_rec_sfr: 0.1015 (0.0992) loss_cl: -0.3678 (-0.3673) time: 0.8618 data: 0.0001 max mem: 29859 [03:16:08.885555] Epoch: [116] [740/850] eta: 0:01:35 lr: 0.002340 loss: 0.0290 (0.0334) loss_rec_all: 0.0652 (0.0694) loss_rec_sfr: 0.0772 (0.0990) loss_cl: -0.3669 (-0.3673) time: 0.8607 data: 0.0002 max mem: 29859 [03:16:26.135325] Epoch: [116] [760/850] eta: 0:01:17 lr: 0.002340 loss: 0.0301 (0.0334) loss_rec_all: 0.0660 (0.0694) loss_rec_sfr: 0.0814 (0.0989) loss_cl: -0.3668 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [03:16:43.352708] Epoch: [116] [780/850] eta: 0:01:00 lr: 0.002340 loss: 0.0306 (0.0333) loss_rec_all: 0.0668 (0.0694) loss_rec_sfr: 0.0782 (0.0987) loss_cl: -0.3668 (-0.3673) time: 0.8608 data: 0.0002 max mem: 29859 [03:17:00.618099] Epoch: [116] [800/850] eta: 0:00:43 lr: 0.002340 loss: 0.0307 (0.0333) loss_rec_all: 0.0670 (0.0693) loss_rec_sfr: 0.1025 (0.0987) loss_cl: -0.3673 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [03:17:17.828742] Epoch: [116] [820/850] eta: 0:00:25 lr: 0.002340 loss: 0.0315 (0.0333) loss_rec_all: 0.0673 (0.0693) loss_rec_sfr: 0.1030 (0.0990) loss_cl: -0.3675 (-0.3673) time: 0.8605 data: 0.0002 max mem: 29859 [03:17:35.122688] Epoch: [116] [840/850] eta: 0:00:08 lr: 0.002340 loss: 0.0310 (0.0333) loss_rec_all: 0.0672 (0.0693) loss_rec_sfr: 0.0809 (0.0988) loss_cl: -0.3675 (-0.3673) time: 0.8647 data: 0.0006 max mem: 29859 [03:17:42.866956] Epoch: [116] [849/850] eta: 0:00:00 lr: 0.002340 loss: 0.0323 (0.0332) loss_rec_all: 0.0682 (0.0693) loss_rec_sfr: 0.0900 (0.0989) loss_cl: -0.3674 (-0.3673) time: 0.8629 data: 0.0005 max mem: 29859 [03:17:43.020741] Epoch: [116] Total time: 0:12:16 (0.8661 s / it) [03:17:43.023239] Averaged stats: lr: 0.002340 loss: 0.0323 (0.0332) loss_rec_all: 0.0682 (0.0692) loss_rec_sfr: 0.0900 (0.0994) loss_cl: -0.3674 (-0.3672) [03:17:43.035201] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [03:17:47.232445] Epoch: [117] [ 0/850] eta: 0:59:27 lr: 0.002340 loss: 0.0275 (0.0275) loss_rec_all: 0.0639 (0.0639) loss_rec_sfr: 0.0659 (0.0659) loss_cl: -0.3682 (-0.3682) time: 4.1965 data: 3.3436 max mem: 29859 [03:18:04.427032] Epoch: [117] [ 20/850] eta: 0:14:05 lr: 0.002340 loss: 0.0291 (0.0297) loss_rec_all: 0.0651 (0.0658) loss_rec_sfr: 0.0710 (0.0935) loss_cl: -0.3676 (-0.3675) time: 0.8597 data: 0.0002 max mem: 29859 [03:18:21.670297] Epoch: [117] [ 40/850] eta: 0:12:43 lr: 0.002340 loss: 0.0292 (0.0297) loss_rec_all: 0.0651 (0.0659) loss_rec_sfr: 0.0811 (0.0918) loss_cl: -0.3678 (-0.3676) time: 0.8621 data: 0.0002 max mem: 29859 [03:18:38.872640] Epoch: [117] [ 60/850] eta: 0:12:03 lr: 0.002340 loss: 0.0292 (0.0300) loss_rec_all: 0.0653 (0.0661) loss_rec_sfr: 0.0787 (0.0927) loss_cl: -0.3676 (-0.3676) time: 0.8601 data: 0.0002 max mem: 29859 [03:18:56.122957] Epoch: [117] [ 80/850] eta: 0:11:34 lr: 0.002340 loss: 0.0310 (0.0306) loss_rec_all: 0.0670 (0.0667) loss_rec_sfr: 0.1033 (0.0951) loss_cl: -0.3672 (-0.3675) time: 0.8624 data: 0.0002 max mem: 29859 [03:19:13.321868] Epoch: [117] [100/850] eta: 0:11:10 lr: 0.002340 loss: 0.0306 (0.0307) loss_rec_all: 0.0666 (0.0668) loss_rec_sfr: 0.1032 (0.0959) loss_cl: -0.3665 (-0.3673) time: 0.8599 data: 0.0001 max mem: 29859 [03:19:30.571916] Epoch: [117] [120/850] eta: 0:10:48 lr: 0.002340 loss: 0.0331 (0.0311) loss_rec_all: 0.0687 (0.0671) loss_rec_sfr: 0.1138 (0.0981) loss_cl: -0.3661 (-0.3671) time: 0.8625 data: 0.0001 max mem: 29859 [03:19:47.780311] Epoch: [117] [140/850] eta: 0:10:28 lr: 0.002339 loss: 0.0302 (0.0311) loss_rec_all: 0.0661 (0.0671) loss_rec_sfr: 0.0997 (0.0984) loss_cl: -0.3668 (-0.3670) time: 0.8604 data: 0.0002 max mem: 29859 [03:20:05.034989] Epoch: [117] [160/850] eta: 0:10:08 lr: 0.002339 loss: 0.0295 (0.0312) loss_rec_all: 0.0656 (0.0672) loss_rec_sfr: 0.0869 (0.0979) loss_cl: -0.3673 (-0.3670) time: 0.8627 data: 0.0001 max mem: 29859 [03:20:22.237534] Epoch: [117] [180/850] eta: 0:09:49 lr: 0.002339 loss: 0.0331 (0.0315) loss_rec_all: 0.0690 (0.0675) loss_rec_sfr: 0.1123 (0.0994) loss_cl: -0.3678 (-0.3671) time: 0.8601 data: 0.0001 max mem: 29859 [03:20:39.486528] Epoch: [117] [200/850] eta: 0:09:30 lr: 0.002339 loss: 0.0298 (0.0314) loss_rec_all: 0.0662 (0.0675) loss_rec_sfr: 0.0788 (0.0987) loss_cl: -0.3682 (-0.3672) time: 0.8624 data: 0.0001 max mem: 29859 [03:20:56.683214] Epoch: [117] [220/850] eta: 0:09:11 lr: 0.002339 loss: 0.0313 (0.0315) loss_rec_all: 0.0674 (0.0676) loss_rec_sfr: 0.0833 (0.0979) loss_cl: -0.3680 (-0.3673) time: 0.8598 data: 0.0001 max mem: 29859 [03:21:13.919409] Epoch: [117] [240/850] eta: 0:08:53 lr: 0.002339 loss: 0.0311 (0.0315) loss_rec_all: 0.0673 (0.0676) loss_rec_sfr: 0.0853 (0.0974) loss_cl: -0.3676 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [03:21:31.089781] Epoch: [117] [260/850] eta: 0:08:35 lr: 0.002339 loss: 0.0311 (0.0316) loss_rec_all: 0.0668 (0.0676) loss_rec_sfr: 0.1094 (0.0981) loss_cl: -0.3672 (-0.3673) time: 0.8585 data: 0.0001 max mem: 29859 [03:21:48.307311] Epoch: [117] [280/850] eta: 0:08:17 lr: 0.002339 loss: 0.0308 (0.0316) loss_rec_all: 0.0667 (0.0676) loss_rec_sfr: 0.1041 (0.0980) loss_cl: -0.3668 (-0.3672) time: 0.8608 data: 0.0001 max mem: 29859 [03:22:05.485184] Epoch: [117] [300/850] eta: 0:07:59 lr: 0.002339 loss: 0.0295 (0.0315) loss_rec_all: 0.0656 (0.0676) loss_rec_sfr: 0.0800 (0.0973) loss_cl: -0.3667 (-0.3672) time: 0.8589 data: 0.0002 max mem: 29859 [03:22:22.703826] Epoch: [117] [320/850] eta: 0:07:41 lr: 0.002339 loss: 0.0296 (0.0315) loss_rec_all: 0.0658 (0.0675) loss_rec_sfr: 0.0796 (0.0972) loss_cl: -0.3667 (-0.3672) time: 0.8609 data: 0.0001 max mem: 29859 [03:22:39.900805] Epoch: [117] [340/850] eta: 0:07:23 lr: 0.002339 loss: 0.0319 (0.0316) loss_rec_all: 0.0676 (0.0676) loss_rec_sfr: 0.1069 (0.0986) loss_cl: -0.3681 (-0.3672) time: 0.8598 data: 0.0001 max mem: 29859 [03:22:57.226885] Epoch: [117] [360/850] eta: 0:07:06 lr: 0.002339 loss: 0.0313 (0.0316) loss_rec_all: 0.0677 (0.0676) loss_rec_sfr: 0.0810 (0.0986) loss_cl: -0.3675 (-0.3673) time: 0.8663 data: 0.0002 max mem: 29859 [03:23:14.420644] Epoch: [117] [380/850] eta: 0:06:48 lr: 0.002339 loss: 0.0300 (0.0315) loss_rec_all: 0.0659 (0.0676) loss_rec_sfr: 0.0857 (0.0987) loss_cl: -0.3676 (-0.3673) time: 0.8597 data: 0.0002 max mem: 29859 [03:23:31.635611] Epoch: [117] [400/850] eta: 0:06:31 lr: 0.002339 loss: 0.0308 (0.0316) loss_rec_all: 0.0668 (0.0676) loss_rec_sfr: 0.0784 (0.0988) loss_cl: -0.3671 (-0.3673) time: 0.8607 data: 0.0001 max mem: 29859 [03:23:48.811184] Epoch: [117] [420/850] eta: 0:06:13 lr: 0.002339 loss: 0.0311 (0.0316) loss_rec_all: 0.0672 (0.0676) loss_rec_sfr: 0.0984 (0.0990) loss_cl: -0.3668 (-0.3672) time: 0.8587 data: 0.0001 max mem: 29859 [03:24:06.023514] Epoch: [117] [440/850] eta: 0:05:56 lr: 0.002339 loss: 0.0305 (0.0315) loss_rec_all: 0.0667 (0.0676) loss_rec_sfr: 0.0765 (0.0988) loss_cl: -0.3668 (-0.3672) time: 0.8606 data: 0.0001 max mem: 29859 [03:24:23.224371] Epoch: [117] [460/850] eta: 0:05:38 lr: 0.002339 loss: 0.0303 (0.0315) loss_rec_all: 0.0662 (0.0675) loss_rec_sfr: 0.0801 (0.0988) loss_cl: -0.3669 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [03:24:40.454115] Epoch: [117] [480/850] eta: 0:05:21 lr: 0.002339 loss: 0.0302 (0.0314) loss_rec_all: 0.0659 (0.0675) loss_rec_sfr: 0.1068 (0.0990) loss_cl: -0.3677 (-0.3672) time: 0.8615 data: 0.0001 max mem: 29859 [03:24:57.688362] Epoch: [117] [500/850] eta: 0:05:03 lr: 0.002339 loss: 0.0296 (0.0314) loss_rec_all: 0.0659 (0.0674) loss_rec_sfr: 0.0759 (0.0987) loss_cl: -0.3673 (-0.3672) time: 0.8617 data: 0.0001 max mem: 29859 [03:25:14.926211] Epoch: [117] [520/850] eta: 0:04:46 lr: 0.002339 loss: 0.0295 (0.0314) loss_rec_all: 0.0653 (0.0674) loss_rec_sfr: 0.0756 (0.0983) loss_cl: -0.3666 (-0.3672) time: 0.8619 data: 0.0001 max mem: 29859 [03:25:32.130702] Epoch: [117] [540/850] eta: 0:04:28 lr: 0.002339 loss: 0.0300 (0.0313) loss_rec_all: 0.0661 (0.0673) loss_rec_sfr: 0.0727 (0.0980) loss_cl: -0.3666 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [03:25:49.386255] Epoch: [117] [560/850] eta: 0:04:11 lr: 0.002339 loss: 0.0301 (0.0313) loss_rec_all: 0.0664 (0.0674) loss_rec_sfr: 0.0791 (0.0980) loss_cl: -0.3676 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [03:26:06.587648] Epoch: [117] [580/850] eta: 0:03:53 lr: 0.002339 loss: 0.0317 (0.0314) loss_rec_all: 0.0679 (0.0674) loss_rec_sfr: 0.0809 (0.0979) loss_cl: -0.3681 (-0.3672) time: 0.8600 data: 0.0001 max mem: 29859 [03:26:23.850652] Epoch: [117] [600/850] eta: 0:03:36 lr: 0.002339 loss: 0.0312 (0.0314) loss_rec_all: 0.0675 (0.0675) loss_rec_sfr: 0.0782 (0.0979) loss_cl: -0.3679 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [03:26:41.050461] Epoch: [117] [620/850] eta: 0:03:19 lr: 0.002339 loss: 0.0305 (0.0314) loss_rec_all: 0.0668 (0.0675) loss_rec_sfr: 0.0823 (0.0978) loss_cl: -0.3676 (-0.3673) time: 0.8600 data: 0.0001 max mem: 29859 [03:26:58.311680] Epoch: [117] [640/850] eta: 0:03:01 lr: 0.002339 loss: 0.0317 (0.0315) loss_rec_all: 0.0680 (0.0675) loss_rec_sfr: 0.0997 (0.0979) loss_cl: -0.3677 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [03:27:15.536370] Epoch: [117] [660/850] eta: 0:02:44 lr: 0.002339 loss: 0.0333 (0.0315) loss_rec_all: 0.0690 (0.0676) loss_rec_sfr: 0.1037 (0.0982) loss_cl: -0.3672 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [03:27:32.790299] Epoch: [117] [680/850] eta: 0:02:27 lr: 0.002338 loss: 0.0307 (0.0315) loss_rec_all: 0.0667 (0.0676) loss_rec_sfr: 0.0745 (0.0981) loss_cl: -0.3672 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [03:27:50.013230] Epoch: [117] [700/850] eta: 0:02:09 lr: 0.002338 loss: 0.0304 (0.0315) loss_rec_all: 0.0664 (0.0676) loss_rec_sfr: 0.0831 (0.0982) loss_cl: -0.3672 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [03:28:07.303702] Epoch: [117] [720/850] eta: 0:01:52 lr: 0.002338 loss: 0.0291 (0.0315) loss_rec_all: 0.0654 (0.0675) loss_rec_sfr: 0.0678 (0.0980) loss_cl: -0.3671 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [03:28:24.579725] Epoch: [117] [740/850] eta: 0:01:35 lr: 0.002338 loss: 0.0289 (0.0315) loss_rec_all: 0.0651 (0.0675) loss_rec_sfr: 0.0736 (0.0977) loss_cl: -0.3664 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [03:28:41.824478] Epoch: [117] [760/850] eta: 0:01:17 lr: 0.002338 loss: 0.0307 (0.0314) loss_rec_all: 0.0666 (0.0675) loss_rec_sfr: 0.1034 (0.0979) loss_cl: -0.3670 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [03:28:59.070934] Epoch: [117] [780/850] eta: 0:01:00 lr: 0.002338 loss: 0.0283 (0.0314) loss_rec_all: 0.0647 (0.0674) loss_rec_sfr: 0.0768 (0.0976) loss_cl: -0.3672 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [03:29:16.321188] Epoch: [117] [800/850] eta: 0:00:43 lr: 0.002338 loss: 0.0291 (0.0313) loss_rec_all: 0.0648 (0.0674) loss_rec_sfr: 0.0786 (0.0973) loss_cl: -0.3670 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [03:29:33.566771] Epoch: [117] [820/850] eta: 0:00:25 lr: 0.002338 loss: 0.0317 (0.0314) loss_rec_all: 0.0679 (0.0674) loss_rec_sfr: 0.0773 (0.0972) loss_cl: -0.3676 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [03:29:50.807919] Epoch: [117] [840/850] eta: 0:00:08 lr: 0.002338 loss: 0.0316 (0.0314) loss_rec_all: 0.0675 (0.0674) loss_rec_sfr: 0.0993 (0.0974) loss_cl: -0.3671 (-0.3672) time: 0.8620 data: 0.0004 max mem: 29859 [03:29:58.549555] Epoch: [117] [849/850] eta: 0:00:00 lr: 0.002338 loss: 0.0312 (0.0314) loss_rec_all: 0.0674 (0.0674) loss_rec_sfr: 0.0737 (0.0972) loss_cl: -0.3673 (-0.3672) time: 0.8617 data: 0.0004 max mem: 29859 [03:29:58.685956] Epoch: [117] Total time: 0:12:15 (0.8655 s / it) [03:29:58.695559] Averaged stats: lr: 0.002338 loss: 0.0312 (0.0314) loss_rec_all: 0.0674 (0.0674) loss_rec_sfr: 0.0737 (0.0973) loss_cl: -0.3673 (-0.3672) [03:29:58.705711] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [03:30:03.231374] Epoch: [118] [ 0/850] eta: 1:04:06 lr: 0.002338 loss: 0.0286 (0.0286) loss_rec_all: 0.0648 (0.0648) loss_rec_sfr: 0.0761 (0.0761) loss_cl: -0.3674 (-0.3674) time: 4.5249 data: 3.3317 max mem: 29859 [03:30:20.453530] Epoch: [118] [ 20/850] eta: 0:14:19 lr: 0.002338 loss: 0.0304 (0.0311) loss_rec_all: 0.0666 (0.0671) loss_rec_sfr: 0.0751 (0.0956) loss_cl: -0.3670 (-0.3670) time: 0.8611 data: 0.0002 max mem: 29859 [03:30:37.691355] Epoch: [118] [ 40/850] eta: 0:12:50 lr: 0.002338 loss: 0.0307 (0.0313) loss_rec_all: 0.0664 (0.0673) loss_rec_sfr: 0.1039 (0.1012) loss_cl: -0.3664 (-0.3667) time: 0.8618 data: 0.0002 max mem: 29859 [03:30:54.920768] Epoch: [118] [ 60/850] eta: 0:12:07 lr: 0.002338 loss: 0.0284 (0.0307) loss_rec_all: 0.0646 (0.0667) loss_rec_sfr: 0.0693 (0.0959) loss_cl: -0.3665 (-0.3666) time: 0.8614 data: 0.0002 max mem: 29859 [03:31:12.173909] Epoch: [118] [ 80/850] eta: 0:11:38 lr: 0.002338 loss: 0.0303 (0.0308) loss_rec_all: 0.0662 (0.0668) loss_rec_sfr: 0.0970 (0.0964) loss_cl: -0.3668 (-0.3667) time: 0.8626 data: 0.0002 max mem: 29859 [03:31:29.394361] Epoch: [118] [100/850] eta: 0:11:13 lr: 0.002338 loss: 0.0301 (0.0309) loss_rec_all: 0.0661 (0.0669) loss_rec_sfr: 0.1015 (0.0968) loss_cl: -0.3674 (-0.3668) time: 0.8610 data: 0.0002 max mem: 29859 [03:31:46.657196] Epoch: [118] [120/850] eta: 0:10:51 lr: 0.002338 loss: 0.0318 (0.0311) loss_rec_all: 0.0677 (0.0671) loss_rec_sfr: 0.1090 (0.0987) loss_cl: -0.3683 (-0.3670) time: 0.8631 data: 0.0002 max mem: 29859 [03:32:03.879765] Epoch: [118] [140/850] eta: 0:10:30 lr: 0.002338 loss: 0.0316 (0.0313) loss_rec_all: 0.0675 (0.0673) loss_rec_sfr: 0.1047 (0.0994) loss_cl: -0.3680 (-0.3671) time: 0.8611 data: 0.0002 max mem: 29859 [03:32:21.145165] Epoch: [118] [160/850] eta: 0:10:10 lr: 0.002338 loss: 0.0298 (0.0312) loss_rec_all: 0.0660 (0.0672) loss_rec_sfr: 0.0707 (0.0980) loss_cl: -0.3673 (-0.3672) time: 0.8632 data: 0.0002 max mem: 29859 [03:32:38.369907] Epoch: [118] [180/850] eta: 0:09:50 lr: 0.002338 loss: 0.0294 (0.0311) loss_rec_all: 0.0657 (0.0671) loss_rec_sfr: 0.0805 (0.0979) loss_cl: -0.3673 (-0.3672) time: 0.8612 data: 0.0002 max mem: 29859 [03:32:55.636868] Epoch: [118] [200/850] eta: 0:09:32 lr: 0.002338 loss: 0.0293 (0.0311) loss_rec_all: 0.0653 (0.0671) loss_rec_sfr: 0.0997 (0.0981) loss_cl: -0.3673 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [03:33:12.846324] Epoch: [118] [220/850] eta: 0:09:13 lr: 0.002338 loss: 0.0295 (0.0310) loss_rec_all: 0.0653 (0.0670) loss_rec_sfr: 0.1034 (0.0985) loss_cl: -0.3676 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [03:33:30.118728] Epoch: [118] [240/850] eta: 0:08:55 lr: 0.002338 loss: 0.0291 (0.0309) loss_rec_all: 0.0651 (0.0669) loss_rec_sfr: 0.0761 (0.0983) loss_cl: -0.3680 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [03:33:47.331048] Epoch: [118] [260/850] eta: 0:08:36 lr: 0.002338 loss: 0.0307 (0.0309) loss_rec_all: 0.0668 (0.0670) loss_rec_sfr: 0.0847 (0.0980) loss_cl: -0.3676 (-0.3673) time: 0.8606 data: 0.0002 max mem: 29859 [03:34:04.604597] Epoch: [118] [280/850] eta: 0:08:18 lr: 0.002338 loss: 0.0296 (0.0309) loss_rec_all: 0.0658 (0.0669) loss_rec_sfr: 0.0762 (0.0977) loss_cl: -0.3676 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [03:34:21.817129] Epoch: [118] [300/850] eta: 0:08:00 lr: 0.002338 loss: 0.0302 (0.0309) loss_rec_all: 0.0663 (0.0669) loss_rec_sfr: 0.0779 (0.0979) loss_cl: -0.3671 (-0.3673) time: 0.8606 data: 0.0002 max mem: 29859 [03:34:39.058423] Epoch: [118] [320/850] eta: 0:07:42 lr: 0.002338 loss: 0.0288 (0.0308) loss_rec_all: 0.0650 (0.0669) loss_rec_sfr: 0.0739 (0.0974) loss_cl: -0.3669 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [03:34:56.279612] Epoch: [118] [340/850] eta: 0:07:25 lr: 0.002338 loss: 0.0281 (0.0307) loss_rec_all: 0.0642 (0.0667) loss_rec_sfr: 0.0693 (0.0971) loss_cl: -0.3670 (-0.3672) time: 0.8610 data: 0.0002 max mem: 29859 [03:35:13.517729] Epoch: [118] [360/850] eta: 0:07:07 lr: 0.002337 loss: 0.0318 (0.0308) loss_rec_all: 0.0676 (0.0669) loss_rec_sfr: 0.0969 (0.0971) loss_cl: -0.3669 (-0.3672) time: 0.8619 data: 0.0001 max mem: 29859 [03:35:30.729252] Epoch: [118] [380/850] eta: 0:06:49 lr: 0.002337 loss: 0.0320 (0.0309) loss_rec_all: 0.0683 (0.0670) loss_rec_sfr: 0.0995 (0.0977) loss_cl: -0.3676 (-0.3672) time: 0.8605 data: 0.0001 max mem: 29859 [03:35:47.995264] Epoch: [118] [400/850] eta: 0:06:31 lr: 0.002337 loss: 0.0306 (0.0309) loss_rec_all: 0.0667 (0.0670) loss_rec_sfr: 0.0771 (0.0977) loss_cl: -0.3675 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [03:36:05.222501] Epoch: [118] [420/850] eta: 0:06:14 lr: 0.002337 loss: 0.0292 (0.0309) loss_rec_all: 0.0651 (0.0669) loss_rec_sfr: 0.0802 (0.0979) loss_cl: -0.3674 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [03:36:22.465958] Epoch: [118] [440/850] eta: 0:05:56 lr: 0.002337 loss: 0.0309 (0.0309) loss_rec_all: 0.0665 (0.0670) loss_rec_sfr: 0.0997 (0.0981) loss_cl: -0.3665 (-0.3672) time: 0.8621 data: 0.0001 max mem: 29859 [03:36:39.682007] Epoch: [118] [460/850] eta: 0:05:39 lr: 0.002337 loss: 0.0280 (0.0309) loss_rec_all: 0.0642 (0.0669) loss_rec_sfr: 0.0747 (0.0975) loss_cl: -0.3666 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [03:36:56.926403] Epoch: [118] [480/850] eta: 0:05:21 lr: 0.002337 loss: 0.0298 (0.0308) loss_rec_all: 0.0660 (0.0669) loss_rec_sfr: 0.0678 (0.0973) loss_cl: -0.3668 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [03:37:14.140293] Epoch: [118] [500/850] eta: 0:05:04 lr: 0.002337 loss: 0.0312 (0.0309) loss_rec_all: 0.0671 (0.0669) loss_rec_sfr: 0.1017 (0.0976) loss_cl: -0.3671 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [03:37:31.402277] Epoch: [118] [520/850] eta: 0:04:46 lr: 0.002337 loss: 0.0287 (0.0309) loss_rec_all: 0.0650 (0.0669) loss_rec_sfr: 0.0726 (0.0972) loss_cl: -0.3677 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [03:37:48.610749] Epoch: [118] [540/850] eta: 0:04:29 lr: 0.002337 loss: 0.0293 (0.0308) loss_rec_all: 0.0654 (0.0669) loss_rec_sfr: 0.0749 (0.0971) loss_cl: -0.3679 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [03:38:05.922573] Epoch: [118] [560/850] eta: 0:04:11 lr: 0.002337 loss: 0.0330 (0.0310) loss_rec_all: 0.0688 (0.0670) loss_rec_sfr: 0.1063 (0.0973) loss_cl: -0.3680 (-0.3672) time: 0.8655 data: 0.0002 max mem: 29859 [03:38:23.177077] Epoch: [118] [580/850] eta: 0:03:54 lr: 0.002337 loss: 0.0333 (0.0311) loss_rec_all: 0.0693 (0.0671) loss_rec_sfr: 0.0844 (0.0974) loss_cl: -0.3677 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [03:38:40.554230] Epoch: [118] [600/850] eta: 0:03:37 lr: 0.002337 loss: 0.0319 (0.0312) loss_rec_all: 0.0680 (0.0672) loss_rec_sfr: 0.0734 (0.0972) loss_cl: -0.3674 (-0.3672) time: 0.8688 data: 0.0003 max mem: 29859 [03:38:57.759551] Epoch: [118] [620/850] eta: 0:03:19 lr: 0.002337 loss: 0.0308 (0.0312) loss_rec_all: 0.0670 (0.0673) loss_rec_sfr: 0.0741 (0.0970) loss_cl: -0.3672 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [03:39:14.990226] Epoch: [118] [640/850] eta: 0:03:02 lr: 0.002337 loss: 0.0338 (0.0314) loss_rec_all: 0.0696 (0.0674) loss_rec_sfr: 0.1021 (0.0973) loss_cl: -0.3667 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [03:39:32.281520] Epoch: [118] [660/850] eta: 0:02:44 lr: 0.002337 loss: 0.0321 (0.0314) loss_rec_all: 0.0681 (0.0675) loss_rec_sfr: 0.0779 (0.0973) loss_cl: -0.3667 (-0.3672) time: 0.8645 data: 0.0002 max mem: 29859 [03:39:49.537116] Epoch: [118] [680/850] eta: 0:02:27 lr: 0.002337 loss: 0.0328 (0.0315) loss_rec_all: 0.0686 (0.0675) loss_rec_sfr: 0.0851 (0.0971) loss_cl: -0.3672 (-0.3672) time: 0.8627 data: 0.0001 max mem: 29859 [03:40:06.726935] Epoch: [118] [700/850] eta: 0:02:10 lr: 0.002337 loss: 0.0313 (0.0315) loss_rec_all: 0.0672 (0.0676) loss_rec_sfr: 0.0888 (0.0974) loss_cl: -0.3677 (-0.3672) time: 0.8594 data: 0.0001 max mem: 29859 [03:40:24.046336] Epoch: [118] [720/850] eta: 0:01:52 lr: 0.002337 loss: 0.0323 (0.0316) loss_rec_all: 0.0683 (0.0676) loss_rec_sfr: 0.1094 (0.0977) loss_cl: -0.3682 (-0.3672) time: 0.8659 data: 0.0002 max mem: 29859 [03:40:41.272171] Epoch: [118] [740/850] eta: 0:01:35 lr: 0.002337 loss: 0.0297 (0.0315) loss_rec_all: 0.0657 (0.0676) loss_rec_sfr: 0.0796 (0.0976) loss_cl: -0.3679 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [03:40:58.605005] Epoch: [118] [760/850] eta: 0:01:18 lr: 0.002337 loss: 0.0298 (0.0315) loss_rec_all: 0.0657 (0.0676) loss_rec_sfr: 0.1007 (0.0976) loss_cl: -0.3668 (-0.3673) time: 0.8666 data: 0.0003 max mem: 29859 [03:41:15.877190] Epoch: [118] [780/850] eta: 0:01:00 lr: 0.002337 loss: 0.0284 (0.0315) loss_rec_all: 0.0646 (0.0675) loss_rec_sfr: 0.0654 (0.0974) loss_cl: -0.3664 (-0.3672) time: 0.8635 data: 0.0002 max mem: 29859 [03:41:33.138912] Epoch: [118] [800/850] eta: 0:00:43 lr: 0.002337 loss: 0.0286 (0.0314) loss_rec_all: 0.0647 (0.0675) loss_rec_sfr: 0.0758 (0.0971) loss_cl: -0.3671 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [03:41:50.339917] Epoch: [118] [820/850] eta: 0:00:26 lr: 0.002337 loss: 0.0297 (0.0314) loss_rec_all: 0.0655 (0.0675) loss_rec_sfr: 0.1054 (0.0973) loss_cl: -0.3675 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [03:42:07.694984] Epoch: [118] [840/850] eta: 0:00:08 lr: 0.002337 loss: 0.0314 (0.0314) loss_rec_all: 0.0677 (0.0675) loss_rec_sfr: 0.0843 (0.0972) loss_cl: -0.3676 (-0.3672) time: 0.8677 data: 0.0006 max mem: 29859 [03:42:15.469171] Epoch: [118] [849/850] eta: 0:00:00 lr: 0.002337 loss: 0.0312 (0.0314) loss_rec_all: 0.0675 (0.0675) loss_rec_sfr: 0.0704 (0.0972) loss_cl: -0.3677 (-0.3672) time: 0.8683 data: 0.0006 max mem: 29859 [03:42:15.614963] Epoch: [118] Total time: 0:12:16 (0.8670 s / it) [03:42:15.617459] Averaged stats: lr: 0.002337 loss: 0.0312 (0.0315) loss_rec_all: 0.0675 (0.0676) loss_rec_sfr: 0.0704 (0.0977) loss_cl: -0.3677 (-0.3672) [03:42:15.628995] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [03:42:20.026356] Epoch: [119] [ 0/850] eta: 1:02:17 lr: 0.002337 loss: 0.0384 (0.0384) loss_rec_all: 0.0744 (0.0744) loss_rec_sfr: 0.1068 (0.1068) loss_cl: -0.3678 (-0.3678) time: 4.3966 data: 3.5413 max mem: 29859 [03:42:37.203290] Epoch: [119] [ 20/850] eta: 0:14:12 lr: 0.002337 loss: 0.0302 (0.0309) loss_rec_all: 0.0661 (0.0670) loss_rec_sfr: 0.0744 (0.0873) loss_cl: -0.3673 (-0.3674) time: 0.8588 data: 0.0002 max mem: 29859 [03:42:54.457848] Epoch: [119] [ 40/850] eta: 0:12:47 lr: 0.002337 loss: 0.0306 (0.0309) loss_rec_all: 0.0666 (0.0670) loss_rec_sfr: 0.0790 (0.0893) loss_cl: -0.3667 (-0.3671) time: 0.8627 data: 0.0002 max mem: 29859 [03:43:11.721907] Epoch: [119] [ 60/850] eta: 0:12:06 lr: 0.002336 loss: 0.0302 (0.0312) loss_rec_all: 0.0659 (0.0672) loss_rec_sfr: 0.0940 (0.0904) loss_cl: -0.3673 (-0.3671) time: 0.8631 data: 0.0003 max mem: 29859 [03:43:28.959276] Epoch: [119] [ 80/850] eta: 0:11:37 lr: 0.002336 loss: 0.0307 (0.0315) loss_rec_all: 0.0669 (0.0676) loss_rec_sfr: 0.0808 (0.0916) loss_cl: -0.3671 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [03:43:46.150065] Epoch: [119] [100/850] eta: 0:11:12 lr: 0.002336 loss: 0.0297 (0.0314) loss_rec_all: 0.0659 (0.0675) loss_rec_sfr: 0.0804 (0.0909) loss_cl: -0.3674 (-0.3672) time: 0.8595 data: 0.0002 max mem: 29859 [03:44:03.429664] Epoch: [119] [120/850] eta: 0:10:50 lr: 0.002336 loss: 0.0292 (0.0312) loss_rec_all: 0.0654 (0.0673) loss_rec_sfr: 0.0764 (0.0908) loss_cl: -0.3679 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [03:44:20.640396] Epoch: [119] [140/850] eta: 0:10:29 lr: 0.002336 loss: 0.0276 (0.0308) loss_rec_all: 0.0639 (0.0669) loss_rec_sfr: 0.0724 (0.0905) loss_cl: -0.3678 (-0.3674) time: 0.8605 data: 0.0002 max mem: 29859 [03:44:37.884942] Epoch: [119] [160/850] eta: 0:10:09 lr: 0.002336 loss: 0.0275 (0.0304) loss_rec_all: 0.0638 (0.0666) loss_rec_sfr: 0.0985 (0.0907) loss_cl: -0.3678 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [03:44:55.143949] Epoch: [119] [180/850] eta: 0:09:50 lr: 0.002336 loss: 0.0293 (0.0305) loss_rec_all: 0.0656 (0.0666) loss_rec_sfr: 0.0986 (0.0919) loss_cl: -0.3675 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [03:45:12.393679] Epoch: [119] [200/850] eta: 0:09:31 lr: 0.002336 loss: 0.0328 (0.0308) loss_rec_all: 0.0688 (0.0669) loss_rec_sfr: 0.1057 (0.0934) loss_cl: -0.3674 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [03:45:29.601609] Epoch: [119] [220/850] eta: 0:09:12 lr: 0.002336 loss: 0.0315 (0.0310) loss_rec_all: 0.0675 (0.0671) loss_rec_sfr: 0.0701 (0.0927) loss_cl: -0.3668 (-0.3674) time: 0.8603 data: 0.0002 max mem: 29859 [03:45:46.989602] Epoch: [119] [240/850] eta: 0:08:54 lr: 0.002336 loss: 0.0302 (0.0310) loss_rec_all: 0.0664 (0.0671) loss_rec_sfr: 0.0771 (0.0931) loss_cl: -0.3673 (-0.3674) time: 0.8693 data: 0.0003 max mem: 29859 [03:46:04.196042] Epoch: [119] [260/850] eta: 0:08:36 lr: 0.002336 loss: 0.0293 (0.0309) loss_rec_all: 0.0656 (0.0670) loss_rec_sfr: 0.0678 (0.0925) loss_cl: -0.3677 (-0.3674) time: 0.8603 data: 0.0002 max mem: 29859 [03:46:21.444843] Epoch: [119] [280/850] eta: 0:08:18 lr: 0.002336 loss: 0.0279 (0.0308) loss_rec_all: 0.0641 (0.0669) loss_rec_sfr: 0.0662 (0.0919) loss_cl: -0.3675 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [03:46:38.772831] Epoch: [119] [300/850] eta: 0:08:00 lr: 0.002336 loss: 0.0290 (0.0308) loss_rec_all: 0.0653 (0.0669) loss_rec_sfr: 0.1044 (0.0924) loss_cl: -0.3672 (-0.3674) time: 0.8663 data: 0.0003 max mem: 29859 [03:46:56.012807] Epoch: [119] [320/850] eta: 0:07:42 lr: 0.002336 loss: 0.0307 (0.0308) loss_rec_all: 0.0663 (0.0669) loss_rec_sfr: 0.1042 (0.0932) loss_cl: -0.3667 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [03:47:13.219532] Epoch: [119] [340/850] eta: 0:07:25 lr: 0.002336 loss: 0.0295 (0.0307) loss_rec_all: 0.0656 (0.0668) loss_rec_sfr: 0.0791 (0.0935) loss_cl: -0.3671 (-0.3673) time: 0.8603 data: 0.0002 max mem: 29859 [03:47:30.598223] Epoch: [119] [360/850] eta: 0:07:07 lr: 0.002336 loss: 0.0307 (0.0308) loss_rec_all: 0.0670 (0.0669) loss_rec_sfr: 0.0779 (0.0933) loss_cl: -0.3672 (-0.3673) time: 0.8689 data: 0.0003 max mem: 29859 [03:47:47.795199] Epoch: [119] [380/850] eta: 0:06:49 lr: 0.002336 loss: 0.0294 (0.0308) loss_rec_all: 0.0655 (0.0669) loss_rec_sfr: 0.0697 (0.0933) loss_cl: -0.3675 (-0.3673) time: 0.8598 data: 0.0002 max mem: 29859 [03:48:05.039790] Epoch: [119] [400/850] eta: 0:06:32 lr: 0.002336 loss: 0.0317 (0.0309) loss_rec_all: 0.0674 (0.0669) loss_rec_sfr: 0.1036 (0.0938) loss_cl: -0.3676 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [03:48:22.307790] Epoch: [119] [420/850] eta: 0:06:14 lr: 0.002336 loss: 0.0287 (0.0308) loss_rec_all: 0.0651 (0.0669) loss_rec_sfr: 0.1026 (0.0943) loss_cl: -0.3674 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [03:48:39.588761] Epoch: [119] [440/850] eta: 0:05:56 lr: 0.002336 loss: 0.0298 (0.0308) loss_rec_all: 0.0656 (0.0669) loss_rec_sfr: 0.0975 (0.0945) loss_cl: -0.3666 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [03:48:56.843553] Epoch: [119] [460/850] eta: 0:05:39 lr: 0.002336 loss: 0.0299 (0.0308) loss_rec_all: 0.0657 (0.0669) loss_rec_sfr: 0.1111 (0.0950) loss_cl: -0.3665 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [03:49:14.123040] Epoch: [119] [480/850] eta: 0:05:21 lr: 0.002336 loss: 0.0308 (0.0309) loss_rec_all: 0.0670 (0.0669) loss_rec_sfr: 0.0757 (0.0948) loss_cl: -0.3672 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [03:49:31.329024] Epoch: [119] [500/850] eta: 0:05:04 lr: 0.002336 loss: 0.0317 (0.0309) loss_rec_all: 0.0680 (0.0670) loss_rec_sfr: 0.1046 (0.0955) loss_cl: -0.3678 (-0.3673) time: 0.8603 data: 0.0002 max mem: 29859 [03:49:48.585158] Epoch: [119] [520/850] eta: 0:04:46 lr: 0.002336 loss: 0.0311 (0.0310) loss_rec_all: 0.0674 (0.0670) loss_rec_sfr: 0.0858 (0.0958) loss_cl: -0.3682 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [03:50:05.840588] Epoch: [119] [540/850] eta: 0:04:29 lr: 0.002336 loss: 0.0327 (0.0311) loss_rec_all: 0.0688 (0.0671) loss_rec_sfr: 0.1113 (0.0964) loss_cl: -0.3675 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [03:50:23.112156] Epoch: [119] [560/850] eta: 0:04:11 lr: 0.002336 loss: 0.0306 (0.0311) loss_rec_all: 0.0666 (0.0671) loss_rec_sfr: 0.0811 (0.0962) loss_cl: -0.3673 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [03:50:40.320545] Epoch: [119] [580/850] eta: 0:03:54 lr: 0.002335 loss: 0.0299 (0.0311) loss_rec_all: 0.0657 (0.0671) loss_rec_sfr: 0.0728 (0.0960) loss_cl: -0.3665 (-0.3673) time: 0.8604 data: 0.0002 max mem: 29859 [03:50:57.612308] Epoch: [119] [600/850] eta: 0:03:37 lr: 0.002335 loss: 0.0300 (0.0311) loss_rec_all: 0.0662 (0.0671) loss_rec_sfr: 0.0835 (0.0962) loss_cl: -0.3669 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [03:51:14.858809] Epoch: [119] [620/850] eta: 0:03:19 lr: 0.002335 loss: 0.0304 (0.0311) loss_rec_all: 0.0667 (0.0671) loss_rec_sfr: 0.0705 (0.0961) loss_cl: -0.3672 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [03:51:32.100721] Epoch: [119] [640/850] eta: 0:03:02 lr: 0.002335 loss: 0.0301 (0.0311) loss_rec_all: 0.0662 (0.0671) loss_rec_sfr: 0.0711 (0.0959) loss_cl: -0.3679 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [03:51:49.340076] Epoch: [119] [660/850] eta: 0:02:44 lr: 0.002335 loss: 0.0295 (0.0310) loss_rec_all: 0.0657 (0.0671) loss_rec_sfr: 0.0731 (0.0956) loss_cl: -0.3676 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [03:52:06.608180] Epoch: [119] [680/850] eta: 0:02:27 lr: 0.002335 loss: 0.0300 (0.0311) loss_rec_all: 0.0661 (0.0671) loss_rec_sfr: 0.0771 (0.0955) loss_cl: -0.3673 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [03:52:23.798790] Epoch: [119] [700/850] eta: 0:02:10 lr: 0.002335 loss: 0.0294 (0.0310) loss_rec_all: 0.0653 (0.0671) loss_rec_sfr: 0.0720 (0.0955) loss_cl: -0.3677 (-0.3673) time: 0.8595 data: 0.0002 max mem: 29859 [03:52:41.086748] Epoch: [119] [720/850] eta: 0:01:52 lr: 0.002335 loss: 0.0295 (0.0310) loss_rec_all: 0.0652 (0.0671) loss_rec_sfr: 0.1007 (0.0956) loss_cl: -0.3673 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [03:52:58.368237] Epoch: [119] [740/850] eta: 0:01:35 lr: 0.002335 loss: 0.0299 (0.0310) loss_rec_all: 0.0660 (0.0671) loss_rec_sfr: 0.0854 (0.0954) loss_cl: -0.3674 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [03:53:15.603458] Epoch: [119] [760/850] eta: 0:01:18 lr: 0.002335 loss: 0.0312 (0.0311) loss_rec_all: 0.0674 (0.0671) loss_rec_sfr: 0.0953 (0.0956) loss_cl: -0.3675 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [03:53:32.847935] Epoch: [119] [780/850] eta: 0:01:00 lr: 0.002335 loss: 0.0316 (0.0311) loss_rec_all: 0.0678 (0.0672) loss_rec_sfr: 0.0774 (0.0956) loss_cl: -0.3673 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [03:53:50.177419] Epoch: [119] [800/850] eta: 0:00:43 lr: 0.002335 loss: 0.0333 (0.0312) loss_rec_all: 0.0695 (0.0672) loss_rec_sfr: 0.1094 (0.0962) loss_cl: -0.3669 (-0.3673) time: 0.8664 data: 0.0002 max mem: 29859 [03:54:07.386156] Epoch: [119] [820/850] eta: 0:00:26 lr: 0.002335 loss: 0.0317 (0.0312) loss_rec_all: 0.0677 (0.0673) loss_rec_sfr: 0.0957 (0.0962) loss_cl: -0.3664 (-0.3673) time: 0.8604 data: 0.0002 max mem: 29859 [03:54:24.707241] Epoch: [119] [840/850] eta: 0:00:08 lr: 0.002335 loss: 0.0302 (0.0312) loss_rec_all: 0.0661 (0.0673) loss_rec_sfr: 0.1063 (0.0964) loss_cl: -0.3667 (-0.3673) time: 0.8660 data: 0.0005 max mem: 29859 [03:54:32.481539] Epoch: [119] [849/850] eta: 0:00:00 lr: 0.002335 loss: 0.0296 (0.0312) loss_rec_all: 0.0655 (0.0673) loss_rec_sfr: 0.1048 (0.0963) loss_cl: -0.3671 (-0.3673) time: 0.8662 data: 0.0005 max mem: 29859 [03:54:32.616892] Epoch: [119] Total time: 0:12:16 (0.8670 s / it) [03:54:32.624151] Averaged stats: lr: 0.002335 loss: 0.0296 (0.0312) loss_rec_all: 0.0655 (0.0673) loss_rec_sfr: 0.1048 (0.0967) loss_cl: -0.3671 (-0.3672) [03:54:32.635692] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [03:54:37.499562] Epoch: [120] [ 0/850] eta: 1:08:53 lr: 0.002335 loss: 0.0333 (0.0333) loss_rec_all: 0.0694 (0.0694) loss_rec_sfr: 0.0982 (0.0982) loss_cl: -0.3685 (-0.3685) time: 4.8626 data: 3.2850 max mem: 29859 [03:54:54.655244] Epoch: [120] [ 20/850] eta: 0:14:30 lr: 0.002335 loss: 0.0307 (0.0318) loss_rec_all: 0.0663 (0.0678) loss_rec_sfr: 0.1004 (0.1021) loss_cl: -0.3672 (-0.3671) time: 0.8577 data: 0.0001 max mem: 29859 [03:55:11.912538] Epoch: [120] [ 40/850] eta: 0:12:55 lr: 0.002335 loss: 0.0302 (0.0317) loss_rec_all: 0.0661 (0.0677) loss_rec_sfr: 0.1023 (0.1027) loss_cl: -0.3675 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [03:55:29.226417] Epoch: [120] [ 60/850] eta: 0:12:12 lr: 0.002335 loss: 0.0286 (0.0313) loss_rec_all: 0.0648 (0.0674) loss_rec_sfr: 0.0783 (0.0981) loss_cl: -0.3678 (-0.3675) time: 0.8656 data: 0.0003 max mem: 29859 [03:55:46.459842] Epoch: [120] [ 80/850] eta: 0:11:41 lr: 0.002335 loss: 0.0279 (0.0308) loss_rec_all: 0.0643 (0.0669) loss_rec_sfr: 0.0671 (0.0952) loss_cl: -0.3680 (-0.3676) time: 0.8616 data: 0.0002 max mem: 29859 [03:56:03.680976] Epoch: [120] [100/850] eta: 0:11:16 lr: 0.002335 loss: 0.0297 (0.0307) loss_rec_all: 0.0654 (0.0668) loss_rec_sfr: 0.1060 (0.0969) loss_cl: -0.3676 (-0.3676) time: 0.8610 data: 0.0002 max mem: 29859 [03:56:20.973463] Epoch: [120] [120/850] eta: 0:10:53 lr: 0.002335 loss: 0.0286 (0.0305) loss_rec_all: 0.0644 (0.0666) loss_rec_sfr: 0.0793 (0.0954) loss_cl: -0.3671 (-0.3675) time: 0.8646 data: 0.0003 max mem: 29859 [03:56:38.192949] Epoch: [120] [140/850] eta: 0:10:32 lr: 0.002335 loss: 0.0295 (0.0306) loss_rec_all: 0.0656 (0.0667) loss_rec_sfr: 0.0852 (0.0950) loss_cl: -0.3668 (-0.3674) time: 0.8609 data: 0.0003 max mem: 29859 [03:56:55.457958] Epoch: [120] [160/850] eta: 0:10:12 lr: 0.002335 loss: 0.0293 (0.0305) loss_rec_all: 0.0652 (0.0665) loss_rec_sfr: 0.0985 (0.0954) loss_cl: -0.3665 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [03:57:12.720066] Epoch: [120] [180/850] eta: 0:09:52 lr: 0.002335 loss: 0.0289 (0.0304) loss_rec_all: 0.0651 (0.0665) loss_rec_sfr: 0.1031 (0.0964) loss_cl: -0.3672 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [03:57:29.957901] Epoch: [120] [200/850] eta: 0:09:33 lr: 0.002335 loss: 0.0303 (0.0305) loss_rec_all: 0.0664 (0.0665) loss_rec_sfr: 0.0753 (0.0955) loss_cl: -0.3674 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [03:57:47.172724] Epoch: [120] [220/850] eta: 0:09:14 lr: 0.002335 loss: 0.0297 (0.0305) loss_rec_all: 0.0658 (0.0665) loss_rec_sfr: 0.0948 (0.0953) loss_cl: -0.3675 (-0.3673) time: 0.8606 data: 0.0002 max mem: 29859 [03:58:04.507920] Epoch: [120] [240/850] eta: 0:08:56 lr: 0.002335 loss: 0.0289 (0.0304) loss_rec_all: 0.0649 (0.0664) loss_rec_sfr: 0.0733 (0.0946) loss_cl: -0.3675 (-0.3673) time: 0.8667 data: 0.0002 max mem: 29859 [03:58:21.764622] Epoch: [120] [260/850] eta: 0:08:37 lr: 0.002334 loss: 0.0290 (0.0303) loss_rec_all: 0.0653 (0.0664) loss_rec_sfr: 0.0760 (0.0948) loss_cl: -0.3668 (-0.3672) time: 0.8627 data: 0.0003 max mem: 29859 [03:58:39.045954] Epoch: [120] [280/850] eta: 0:08:19 lr: 0.002334 loss: 0.0305 (0.0303) loss_rec_all: 0.0667 (0.0664) loss_rec_sfr: 0.0806 (0.0944) loss_cl: -0.3667 (-0.3672) time: 0.8640 data: 0.0003 max mem: 29859 [03:58:56.314981] Epoch: [120] [300/850] eta: 0:08:01 lr: 0.002334 loss: 0.0313 (0.0306) loss_rec_all: 0.0675 (0.0666) loss_rec_sfr: 0.0795 (0.0941) loss_cl: -0.3671 (-0.3672) time: 0.8634 data: 0.0003 max mem: 29859 [03:59:13.565750] Epoch: [120] [320/850] eta: 0:07:43 lr: 0.002334 loss: 0.0299 (0.0306) loss_rec_all: 0.0662 (0.0667) loss_rec_sfr: 0.0746 (0.0940) loss_cl: -0.3677 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [03:59:30.764548] Epoch: [120] [340/850] eta: 0:07:25 lr: 0.002334 loss: 0.0315 (0.0308) loss_rec_all: 0.0678 (0.0668) loss_rec_sfr: 0.1045 (0.0946) loss_cl: -0.3679 (-0.3673) time: 0.8598 data: 0.0002 max mem: 29859 [03:59:48.102991] Epoch: [120] [360/850] eta: 0:07:08 lr: 0.002334 loss: 0.0299 (0.0308) loss_rec_all: 0.0659 (0.0668) loss_rec_sfr: 0.0734 (0.0947) loss_cl: -0.3677 (-0.3673) time: 0.8669 data: 0.0002 max mem: 29859 [04:00:05.329611] Epoch: [120] [380/850] eta: 0:06:50 lr: 0.002334 loss: 0.0300 (0.0308) loss_rec_all: 0.0660 (0.0668) loss_rec_sfr: 0.1024 (0.0953) loss_cl: -0.3673 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [04:00:22.577536] Epoch: [120] [400/850] eta: 0:06:32 lr: 0.002334 loss: 0.0282 (0.0307) loss_rec_all: 0.0644 (0.0668) loss_rec_sfr: 0.0787 (0.0953) loss_cl: -0.3670 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [04:00:39.867621] Epoch: [120] [420/850] eta: 0:06:15 lr: 0.002334 loss: 0.0285 (0.0306) loss_rec_all: 0.0648 (0.0667) loss_rec_sfr: 0.0669 (0.0949) loss_cl: -0.3676 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [04:00:57.118395] Epoch: [120] [440/850] eta: 0:05:57 lr: 0.002334 loss: 0.0289 (0.0306) loss_rec_all: 0.0651 (0.0667) loss_rec_sfr: 0.0994 (0.0951) loss_cl: -0.3674 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [04:01:14.319035] Epoch: [120] [460/850] eta: 0:05:39 lr: 0.002334 loss: 0.0296 (0.0306) loss_rec_all: 0.0657 (0.0667) loss_rec_sfr: 0.0828 (0.0949) loss_cl: -0.3668 (-0.3673) time: 0.8600 data: 0.0002 max mem: 29859 [04:01:31.722898] Epoch: [120] [480/850] eta: 0:05:22 lr: 0.002334 loss: 0.0293 (0.0306) loss_rec_all: 0.0654 (0.0666) loss_rec_sfr: 0.0673 (0.0945) loss_cl: -0.3663 (-0.3672) time: 0.8701 data: 0.0003 max mem: 29859 [04:01:48.937467] Epoch: [120] [500/850] eta: 0:05:04 lr: 0.002334 loss: 0.0292 (0.0305) loss_rec_all: 0.0651 (0.0666) loss_rec_sfr: 0.0779 (0.0944) loss_cl: -0.3671 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [04:02:06.174767] Epoch: [120] [520/850] eta: 0:04:47 lr: 0.002334 loss: 0.0307 (0.0305) loss_rec_all: 0.0667 (0.0666) loss_rec_sfr: 0.1088 (0.0948) loss_cl: -0.3680 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [04:02:23.470575] Epoch: [120] [540/850] eta: 0:04:29 lr: 0.002334 loss: 0.0287 (0.0305) loss_rec_all: 0.0649 (0.0666) loss_rec_sfr: 0.1003 (0.0949) loss_cl: -0.3685 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [04:02:40.728373] Epoch: [120] [560/850] eta: 0:04:12 lr: 0.002334 loss: 0.0298 (0.0305) loss_rec_all: 0.0658 (0.0666) loss_rec_sfr: 0.1055 (0.0951) loss_cl: -0.3677 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [04:02:57.922307] Epoch: [120] [580/850] eta: 0:03:54 lr: 0.002334 loss: 0.0300 (0.0306) loss_rec_all: 0.0663 (0.0666) loss_rec_sfr: 0.0666 (0.0950) loss_cl: -0.3669 (-0.3673) time: 0.8597 data: 0.0002 max mem: 29859 [04:03:15.240669] Epoch: [120] [600/850] eta: 0:03:37 lr: 0.002334 loss: 0.0294 (0.0305) loss_rec_all: 0.0654 (0.0666) loss_rec_sfr: 0.0746 (0.0947) loss_cl: -0.3662 (-0.3673) time: 0.8659 data: 0.0002 max mem: 29859 [04:03:32.457002] Epoch: [120] [620/850] eta: 0:03:19 lr: 0.002334 loss: 0.0300 (0.0307) loss_rec_all: 0.0660 (0.0667) loss_rec_sfr: 0.0862 (0.0948) loss_cl: -0.3667 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [04:03:49.705245] Epoch: [120] [640/850] eta: 0:03:02 lr: 0.002334 loss: 0.0367 (0.0309) loss_rec_all: 0.0724 (0.0669) loss_rec_sfr: 0.0800 (0.0949) loss_cl: -0.3672 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [04:04:06.975117] Epoch: [120] [660/850] eta: 0:02:45 lr: 0.002334 loss: 0.0364 (0.0311) loss_rec_all: 0.0727 (0.0672) loss_rec_sfr: 0.1131 (0.0952) loss_cl: -0.3678 (-0.3672) time: 0.8634 data: 0.0002 max mem: 29859 [04:04:24.243135] Epoch: [120] [680/850] eta: 0:02:27 lr: 0.002334 loss: 0.0347 (0.0313) loss_rec_all: 0.0705 (0.0673) loss_rec_sfr: 0.1066 (0.0954) loss_cl: -0.3682 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [04:04:41.457853] Epoch: [120] [700/850] eta: 0:02:10 lr: 0.002334 loss: 0.0339 (0.0314) loss_rec_all: 0.0698 (0.0675) loss_rec_sfr: 0.1032 (0.0955) loss_cl: -0.3678 (-0.3673) time: 0.8607 data: 0.0002 max mem: 29859 [04:04:58.751432] Epoch: [120] [720/850] eta: 0:01:52 lr: 0.002334 loss: 0.0301 (0.0314) loss_rec_all: 0.0664 (0.0675) loss_rec_sfr: 0.0707 (0.0952) loss_cl: -0.3672 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [04:05:15.996125] Epoch: [120] [740/850] eta: 0:01:35 lr: 0.002334 loss: 0.0298 (0.0314) loss_rec_all: 0.0661 (0.0675) loss_rec_sfr: 0.0739 (0.0951) loss_cl: -0.3673 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [04:05:33.251533] Epoch: [120] [760/850] eta: 0:01:18 lr: 0.002334 loss: 0.0301 (0.0314) loss_rec_all: 0.0661 (0.0674) loss_rec_sfr: 0.0784 (0.0951) loss_cl: -0.3668 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [04:05:50.527700] Epoch: [120] [780/850] eta: 0:01:00 lr: 0.002334 loss: 0.0283 (0.0313) loss_rec_all: 0.0645 (0.0674) loss_rec_sfr: 0.0756 (0.0950) loss_cl: -0.3668 (-0.3673) time: 0.8637 data: 0.0003 max mem: 29859 [04:06:07.805333] Epoch: [120] [800/850] eta: 0:00:43 lr: 0.002333 loss: 0.0282 (0.0313) loss_rec_all: 0.0644 (0.0673) loss_rec_sfr: 0.0775 (0.0950) loss_cl: -0.3667 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [04:06:25.017124] Epoch: [120] [820/850] eta: 0:00:26 lr: 0.002333 loss: 0.0294 (0.0313) loss_rec_all: 0.0655 (0.0673) loss_rec_sfr: 0.0731 (0.0949) loss_cl: -0.3670 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [04:06:42.309965] Epoch: [120] [840/850] eta: 0:00:08 lr: 0.002333 loss: 0.0305 (0.0312) loss_rec_all: 0.0662 (0.0673) loss_rec_sfr: 0.1002 (0.0951) loss_cl: -0.3670 (-0.3672) time: 0.8646 data: 0.0006 max mem: 29859 [04:06:50.075342] Epoch: [120] [849/850] eta: 0:00:00 lr: 0.002333 loss: 0.0281 (0.0312) loss_rec_all: 0.0644 (0.0673) loss_rec_sfr: 0.0657 (0.0948) loss_cl: -0.3670 (-0.3672) time: 0.8652 data: 0.0005 max mem: 29859 [04:06:50.227399] Epoch: [120] Total time: 0:12:17 (0.8678 s / it) [04:06:50.229805] Averaged stats: lr: 0.002333 loss: 0.0281 (0.0312) loss_rec_all: 0.0644 (0.0673) loss_rec_sfr: 0.0657 (0.0963) loss_cl: -0.3670 (-0.3672) [04:06:50.243584] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [04:06:54.527129] Epoch: [121] [ 0/850] eta: 1:00:40 lr: 0.002333 loss: 0.0300 (0.0300) loss_rec_all: 0.0662 (0.0662) loss_rec_sfr: 0.0799 (0.0799) loss_cl: -0.3676 (-0.3676) time: 4.2827 data: 3.4251 max mem: 29859 [04:07:11.710917] Epoch: [121] [ 20/850] eta: 0:14:08 lr: 0.002333 loss: 0.0291 (0.0297) loss_rec_all: 0.0655 (0.0658) loss_rec_sfr: 0.0674 (0.0950) loss_cl: -0.3681 (-0.3679) time: 0.8591 data: 0.0002 max mem: 29859 [04:07:28.951627] Epoch: [121] [ 40/850] eta: 0:12:44 lr: 0.002333 loss: 0.0283 (0.0294) loss_rec_all: 0.0646 (0.0656) loss_rec_sfr: 0.0719 (0.0907) loss_cl: -0.3680 (-0.3679) time: 0.8620 data: 0.0002 max mem: 29859 [04:07:46.220246] Epoch: [121] [ 60/850] eta: 0:12:04 lr: 0.002333 loss: 0.0278 (0.0292) loss_rec_all: 0.0637 (0.0653) loss_rec_sfr: 0.0668 (0.0887) loss_cl: -0.3676 (-0.3678) time: 0.8634 data: 0.0003 max mem: 29859 [04:08:03.462865] Epoch: [121] [ 80/850] eta: 0:11:35 lr: 0.002333 loss: 0.0295 (0.0297) loss_rec_all: 0.0658 (0.0658) loss_rec_sfr: 0.0974 (0.0905) loss_cl: -0.3675 (-0.3677) time: 0.8620 data: 0.0002 max mem: 29859 [04:08:20.669602] Epoch: [121] [100/850] eta: 0:11:11 lr: 0.002333 loss: 0.0323 (0.0302) loss_rec_all: 0.0684 (0.0663) loss_rec_sfr: 0.1127 (0.0951) loss_cl: -0.3672 (-0.3675) time: 0.8603 data: 0.0002 max mem: 29859 [04:08:38.021065] Epoch: [121] [120/850] eta: 0:10:50 lr: 0.002333 loss: 0.0319 (0.0308) loss_rec_all: 0.0680 (0.0669) loss_rec_sfr: 0.0838 (0.0950) loss_cl: -0.3673 (-0.3675) time: 0.8675 data: 0.0003 max mem: 29859 [04:08:55.212238] Epoch: [121] [140/850] eta: 0:10:29 lr: 0.002333 loss: 0.0333 (0.0313) loss_rec_all: 0.0689 (0.0674) loss_rec_sfr: 0.1024 (0.0966) loss_cl: -0.3667 (-0.3674) time: 0.8595 data: 0.0002 max mem: 29859 [04:09:12.458252] Epoch: [121] [160/850] eta: 0:10:09 lr: 0.002333 loss: 0.0316 (0.0317) loss_rec_all: 0.0677 (0.0677) loss_rec_sfr: 0.0732 (0.0953) loss_cl: -0.3667 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [04:09:29.724159] Epoch: [121] [180/850] eta: 0:09:50 lr: 0.002333 loss: 0.0318 (0.0318) loss_rec_all: 0.0680 (0.0679) loss_rec_sfr: 0.0828 (0.0953) loss_cl: -0.3671 (-0.3672) time: 0.8632 data: 0.0003 max mem: 29859 [04:09:47.046190] Epoch: [121] [200/850] eta: 0:09:31 lr: 0.002333 loss: 0.0299 (0.0318) loss_rec_all: 0.0662 (0.0679) loss_rec_sfr: 0.0836 (0.0951) loss_cl: -0.3673 (-0.3672) time: 0.8660 data: 0.0003 max mem: 29859 [04:10:04.261447] Epoch: [121] [220/850] eta: 0:09:13 lr: 0.002333 loss: 0.0314 (0.0319) loss_rec_all: 0.0675 (0.0679) loss_rec_sfr: 0.1025 (0.0956) loss_cl: -0.3668 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [04:10:21.619782] Epoch: [121] [240/850] eta: 0:08:54 lr: 0.002333 loss: 0.0293 (0.0317) loss_rec_all: 0.0655 (0.0678) loss_rec_sfr: 0.0740 (0.0953) loss_cl: -0.3675 (-0.3672) time: 0.8679 data: 0.0003 max mem: 29859 [04:10:38.822581] Epoch: [121] [260/850] eta: 0:08:36 lr: 0.002333 loss: 0.0311 (0.0317) loss_rec_all: 0.0670 (0.0678) loss_rec_sfr: 0.1051 (0.0965) loss_cl: -0.3676 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [04:10:56.091325] Epoch: [121] [280/850] eta: 0:08:18 lr: 0.002333 loss: 0.0295 (0.0316) loss_rec_all: 0.0654 (0.0676) loss_rec_sfr: 0.0993 (0.0969) loss_cl: -0.3675 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [04:11:13.369793] Epoch: [121] [300/850] eta: 0:08:00 lr: 0.002333 loss: 0.0273 (0.0314) loss_rec_all: 0.0635 (0.0674) loss_rec_sfr: 0.0983 (0.0967) loss_cl: -0.3674 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [04:11:30.634697] Epoch: [121] [320/850] eta: 0:07:42 lr: 0.002333 loss: 0.0275 (0.0312) loss_rec_all: 0.0637 (0.0673) loss_rec_sfr: 0.0648 (0.0957) loss_cl: -0.3665 (-0.3672) time: 0.8632 data: 0.0002 max mem: 29859 [04:11:47.847461] Epoch: [121] [340/850] eta: 0:07:25 lr: 0.002333 loss: 0.0307 (0.0312) loss_rec_all: 0.0664 (0.0673) loss_rec_sfr: 0.1154 (0.0966) loss_cl: -0.3670 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [04:12:05.167039] Epoch: [121] [360/850] eta: 0:07:07 lr: 0.002333 loss: 0.0282 (0.0311) loss_rec_all: 0.0641 (0.0671) loss_rec_sfr: 0.0995 (0.0966) loss_cl: -0.3671 (-0.3672) time: 0.8659 data: 0.0003 max mem: 29859 [04:12:22.431812] Epoch: [121] [380/850] eta: 0:06:49 lr: 0.002333 loss: 0.0283 (0.0310) loss_rec_all: 0.0645 (0.0670) loss_rec_sfr: 0.0753 (0.0962) loss_cl: -0.3673 (-0.3672) time: 0.8632 data: 0.0003 max mem: 29859 [04:12:39.662605] Epoch: [121] [400/850] eta: 0:06:32 lr: 0.002333 loss: 0.0302 (0.0310) loss_rec_all: 0.0664 (0.0671) loss_rec_sfr: 0.0825 (0.0961) loss_cl: -0.3677 (-0.3672) time: 0.8615 data: 0.0003 max mem: 29859 [04:12:56.939635] Epoch: [121] [420/850] eta: 0:06:14 lr: 0.002333 loss: 0.0314 (0.0312) loss_rec_all: 0.0671 (0.0672) loss_rec_sfr: 0.1073 (0.0966) loss_cl: -0.3681 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [04:13:14.223286] Epoch: [121] [440/850] eta: 0:05:56 lr: 0.002333 loss: 0.0309 (0.0312) loss_rec_all: 0.0670 (0.0672) loss_rec_sfr: 0.1045 (0.0969) loss_cl: -0.3678 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [04:13:31.440205] Epoch: [121] [460/850] eta: 0:05:39 lr: 0.002332 loss: 0.0302 (0.0312) loss_rec_all: 0.0664 (0.0672) loss_rec_sfr: 0.0731 (0.0963) loss_cl: -0.3676 (-0.3673) time: 0.8608 data: 0.0002 max mem: 29859 [04:13:48.758746] Epoch: [121] [480/850] eta: 0:05:21 lr: 0.002332 loss: 0.0315 (0.0313) loss_rec_all: 0.0672 (0.0673) loss_rec_sfr: 0.1008 (0.0964) loss_cl: -0.3664 (-0.3672) time: 0.8658 data: 0.0002 max mem: 29859 [04:14:05.990704] Epoch: [121] [500/850] eta: 0:05:04 lr: 0.002332 loss: 0.0294 (0.0312) loss_rec_all: 0.0655 (0.0673) loss_rec_sfr: 0.0803 (0.0964) loss_cl: -0.3670 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [04:14:23.236905] Epoch: [121] [520/850] eta: 0:04:46 lr: 0.002332 loss: 0.0313 (0.0312) loss_rec_all: 0.0670 (0.0673) loss_rec_sfr: 0.1028 (0.0966) loss_cl: -0.3671 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [04:14:40.500720] Epoch: [121] [540/850] eta: 0:04:29 lr: 0.002332 loss: 0.0330 (0.0313) loss_rec_all: 0.0687 (0.0674) loss_rec_sfr: 0.1036 (0.0968) loss_cl: -0.3671 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [04:14:57.834795] Epoch: [121] [560/850] eta: 0:04:12 lr: 0.002332 loss: 0.0303 (0.0314) loss_rec_all: 0.0666 (0.0674) loss_rec_sfr: 0.0804 (0.0966) loss_cl: -0.3669 (-0.3672) time: 0.8666 data: 0.0003 max mem: 29859 [04:15:15.081380] Epoch: [121] [580/850] eta: 0:03:54 lr: 0.002332 loss: 0.0298 (0.0313) loss_rec_all: 0.0659 (0.0673) loss_rec_sfr: 0.0799 (0.0967) loss_cl: -0.3667 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [04:15:32.556886] Epoch: [121] [600/850] eta: 0:03:37 lr: 0.002332 loss: 0.0289 (0.0313) loss_rec_all: 0.0651 (0.0673) loss_rec_sfr: 0.0786 (0.0967) loss_cl: -0.3672 (-0.3672) time: 0.8737 data: 0.0004 max mem: 29859 [04:15:49.871124] Epoch: [121] [620/850] eta: 0:03:19 lr: 0.002332 loss: 0.0286 (0.0312) loss_rec_all: 0.0647 (0.0672) loss_rec_sfr: 0.0811 (0.0966) loss_cl: -0.3672 (-0.3672) time: 0.8657 data: 0.0003 max mem: 29859 [04:16:07.113860] Epoch: [121] [640/850] eta: 0:03:02 lr: 0.002332 loss: 0.0309 (0.0312) loss_rec_all: 0.0666 (0.0672) loss_rec_sfr: 0.1015 (0.0967) loss_cl: -0.3680 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [04:16:24.433683] Epoch: [121] [660/850] eta: 0:02:45 lr: 0.002332 loss: 0.0295 (0.0312) loss_rec_all: 0.0656 (0.0672) loss_rec_sfr: 0.1072 (0.0968) loss_cl: -0.3678 (-0.3672) time: 0.8659 data: 0.0002 max mem: 29859 [04:16:41.679334] Epoch: [121] [680/850] eta: 0:02:27 lr: 0.002332 loss: 0.0294 (0.0311) loss_rec_all: 0.0656 (0.0672) loss_rec_sfr: 0.0808 (0.0968) loss_cl: -0.3679 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [04:16:58.885888] Epoch: [121] [700/850] eta: 0:02:10 lr: 0.002332 loss: 0.0293 (0.0311) loss_rec_all: 0.0657 (0.0671) loss_rec_sfr: 0.0809 (0.0968) loss_cl: -0.3679 (-0.3673) time: 0.8603 data: 0.0002 max mem: 29859 [04:17:16.274715] Epoch: [121] [720/850] eta: 0:01:52 lr: 0.002332 loss: 0.0317 (0.0311) loss_rec_all: 0.0674 (0.0672) loss_rec_sfr: 0.1051 (0.0969) loss_cl: -0.3669 (-0.3673) time: 0.8694 data: 0.0002 max mem: 29859 [04:17:33.495926] Epoch: [121] [740/850] eta: 0:01:35 lr: 0.002332 loss: 0.0299 (0.0311) loss_rec_all: 0.0658 (0.0672) loss_rec_sfr: 0.0731 (0.0967) loss_cl: -0.3666 (-0.3672) time: 0.8610 data: 0.0002 max mem: 29859 [04:17:50.750297] Epoch: [121] [760/850] eta: 0:01:18 lr: 0.002332 loss: 0.0328 (0.0312) loss_rec_all: 0.0686 (0.0672) loss_rec_sfr: 0.0857 (0.0968) loss_cl: -0.3672 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [04:18:08.153992] Epoch: [121] [780/850] eta: 0:01:00 lr: 0.002332 loss: 0.0304 (0.0312) loss_rec_all: 0.0666 (0.0672) loss_rec_sfr: 0.0700 (0.0966) loss_cl: -0.3669 (-0.3672) time: 0.8701 data: 0.0003 max mem: 29859 [04:18:25.443964] Epoch: [121] [800/850] eta: 0:00:43 lr: 0.002332 loss: 0.0312 (0.0312) loss_rec_all: 0.0672 (0.0673) loss_rec_sfr: 0.1007 (0.0967) loss_cl: -0.3668 (-0.3672) time: 0.8645 data: 0.0002 max mem: 29859 [04:18:42.680316] Epoch: [121] [820/850] eta: 0:00:26 lr: 0.002332 loss: 0.0299 (0.0312) loss_rec_all: 0.0658 (0.0672) loss_rec_sfr: 0.0826 (0.0967) loss_cl: -0.3673 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [04:19:00.038752] Epoch: [121] [840/850] eta: 0:00:08 lr: 0.002332 loss: 0.0304 (0.0312) loss_rec_all: 0.0663 (0.0672) loss_rec_sfr: 0.0992 (0.0968) loss_cl: -0.3674 (-0.3672) time: 0.8679 data: 0.0008 max mem: 29859 [04:19:07.781637] Epoch: [121] [849/850] eta: 0:00:00 lr: 0.002332 loss: 0.0314 (0.0312) loss_rec_all: 0.0675 (0.0673) loss_rec_sfr: 0.1002 (0.0968) loss_cl: -0.3671 (-0.3672) time: 0.8637 data: 0.0007 max mem: 29859 [04:19:07.935920] Epoch: [121] Total time: 0:12:17 (0.8679 s / it) [04:19:07.938358] Averaged stats: lr: 0.002332 loss: 0.0314 (0.0311) loss_rec_all: 0.0675 (0.0671) loss_rec_sfr: 0.1002 (0.0966) loss_cl: -0.3671 (-0.3672) [04:19:07.951074] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [04:19:12.260518] Epoch: [122] [ 0/850] eta: 1:01:02 lr: 0.002332 loss: 0.0304 (0.0304) loss_rec_all: 0.0660 (0.0660) loss_rec_sfr: 0.1493 (0.1493) loss_cl: -0.3662 (-0.3662) time: 4.3087 data: 3.4518 max mem: 29859 [04:19:29.456341] Epoch: [122] [ 20/850] eta: 0:14:09 lr: 0.002332 loss: 0.0286 (0.0296) loss_rec_all: 0.0648 (0.0656) loss_rec_sfr: 0.1027 (0.1025) loss_cl: -0.3672 (-0.3671) time: 0.8597 data: 0.0002 max mem: 29859 [04:19:46.790610] Epoch: [122] [ 40/850] eta: 0:12:47 lr: 0.002332 loss: 0.0273 (0.0292) loss_rec_all: 0.0636 (0.0653) loss_rec_sfr: 0.0728 (0.0947) loss_cl: -0.3678 (-0.3674) time: 0.8667 data: 0.0004 max mem: 29859 [04:20:03.999230] Epoch: [122] [ 60/850] eta: 0:12:05 lr: 0.002332 loss: 0.0283 (0.0293) loss_rec_all: 0.0644 (0.0654) loss_rec_sfr: 0.0730 (0.0925) loss_cl: -0.3676 (-0.3675) time: 0.8604 data: 0.0002 max mem: 29859 [04:20:21.379182] Epoch: [122] [ 80/850] eta: 0:11:37 lr: 0.002332 loss: 0.0290 (0.0294) loss_rec_all: 0.0653 (0.0656) loss_rec_sfr: 0.0686 (0.0916) loss_cl: -0.3676 (-0.3675) time: 0.8689 data: 0.0003 max mem: 29859 [04:20:38.648752] Epoch: [122] [100/850] eta: 0:11:13 lr: 0.002332 loss: 0.0292 (0.0296) loss_rec_all: 0.0655 (0.0657) loss_rec_sfr: 0.0743 (0.0913) loss_cl: -0.3675 (-0.3675) time: 0.8634 data: 0.0002 max mem: 29859 [04:20:55.898950] Epoch: [122] [120/850] eta: 0:10:51 lr: 0.002331 loss: 0.0290 (0.0298) loss_rec_all: 0.0654 (0.0659) loss_rec_sfr: 0.0794 (0.0913) loss_cl: -0.3676 (-0.3675) time: 0.8625 data: 0.0002 max mem: 29859 [04:21:13.224388] Epoch: [122] [140/850] eta: 0:10:30 lr: 0.002331 loss: 0.0301 (0.0302) loss_rec_all: 0.0664 (0.0663) loss_rec_sfr: 0.1056 (0.0923) loss_cl: -0.3674 (-0.3675) time: 0.8662 data: 0.0003 max mem: 29859 [04:21:30.487318] Epoch: [122] [160/850] eta: 0:10:10 lr: 0.002331 loss: 0.0312 (0.0305) loss_rec_all: 0.0670 (0.0666) loss_rec_sfr: 0.1043 (0.0942) loss_cl: -0.3668 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [04:21:47.700273] Epoch: [122] [180/850] eta: 0:09:51 lr: 0.002331 loss: 0.0295 (0.0305) loss_rec_all: 0.0657 (0.0666) loss_rec_sfr: 0.0685 (0.0940) loss_cl: -0.3660 (-0.3673) time: 0.8606 data: 0.0002 max mem: 29859 [04:22:05.061727] Epoch: [122] [200/850] eta: 0:09:32 lr: 0.002331 loss: 0.0289 (0.0304) loss_rec_all: 0.0650 (0.0665) loss_rec_sfr: 0.0772 (0.0945) loss_cl: -0.3662 (-0.3672) time: 0.8680 data: 0.0003 max mem: 29859 [04:22:22.280201] Epoch: [122] [220/850] eta: 0:09:13 lr: 0.002331 loss: 0.0296 (0.0304) loss_rec_all: 0.0653 (0.0664) loss_rec_sfr: 0.1016 (0.0952) loss_cl: -0.3672 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [04:22:39.541478] Epoch: [122] [240/850] eta: 0:08:55 lr: 0.002331 loss: 0.0279 (0.0302) loss_rec_all: 0.0641 (0.0663) loss_rec_sfr: 0.0688 (0.0947) loss_cl: -0.3677 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [04:22:56.824092] Epoch: [122] [260/850] eta: 0:08:37 lr: 0.002331 loss: 0.0284 (0.0302) loss_rec_all: 0.0645 (0.0662) loss_rec_sfr: 0.0740 (0.0947) loss_cl: -0.3679 (-0.3673) time: 0.8641 data: 0.0003 max mem: 29859 [04:23:14.079907] Epoch: [122] [280/850] eta: 0:08:19 lr: 0.002331 loss: 0.0298 (0.0303) loss_rec_all: 0.0657 (0.0664) loss_rec_sfr: 0.1045 (0.0949) loss_cl: -0.3671 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [04:23:31.316610] Epoch: [122] [300/850] eta: 0:08:01 lr: 0.002331 loss: 0.0300 (0.0303) loss_rec_all: 0.0663 (0.0664) loss_rec_sfr: 0.0719 (0.0943) loss_cl: -0.3667 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [04:23:48.607335] Epoch: [122] [320/850] eta: 0:07:43 lr: 0.002331 loss: 0.0298 (0.0304) loss_rec_all: 0.0659 (0.0664) loss_rec_sfr: 0.0704 (0.0941) loss_cl: -0.3660 (-0.3672) time: 0.8645 data: 0.0003 max mem: 29859 [04:24:05.805740] Epoch: [122] [340/850] eta: 0:07:25 lr: 0.002331 loss: 0.0316 (0.0305) loss_rec_all: 0.0675 (0.0666) loss_rec_sfr: 0.1000 (0.0945) loss_cl: -0.3667 (-0.3671) time: 0.8599 data: 0.0002 max mem: 29859 [04:24:23.143208] Epoch: [122] [360/850] eta: 0:07:07 lr: 0.002331 loss: 0.0303 (0.0305) loss_rec_all: 0.0664 (0.0666) loss_rec_sfr: 0.0777 (0.0946) loss_cl: -0.3671 (-0.3671) time: 0.8668 data: 0.0002 max mem: 29859 [04:24:40.359822] Epoch: [122] [380/850] eta: 0:06:50 lr: 0.002331 loss: 0.0296 (0.0305) loss_rec_all: 0.0655 (0.0666) loss_rec_sfr: 0.1016 (0.0951) loss_cl: -0.3680 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [04:24:57.609038] Epoch: [122] [400/850] eta: 0:06:32 lr: 0.002331 loss: 0.0297 (0.0305) loss_rec_all: 0.0657 (0.0666) loss_rec_sfr: 0.0719 (0.0949) loss_cl: -0.3674 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [04:25:14.945578] Epoch: [122] [420/850] eta: 0:06:14 lr: 0.002331 loss: 0.0303 (0.0306) loss_rec_all: 0.0662 (0.0666) loss_rec_sfr: 0.1032 (0.0955) loss_cl: -0.3673 (-0.3672) time: 0.8668 data: 0.0003 max mem: 29859 [04:25:32.180917] Epoch: [122] [440/850] eta: 0:05:57 lr: 0.002331 loss: 0.0289 (0.0305) loss_rec_all: 0.0648 (0.0666) loss_rec_sfr: 0.0746 (0.0951) loss_cl: -0.3677 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [04:25:49.388749] Epoch: [122] [460/850] eta: 0:05:39 lr: 0.002331 loss: 0.0289 (0.0305) loss_rec_all: 0.0649 (0.0665) loss_rec_sfr: 0.0742 (0.0950) loss_cl: -0.3677 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [04:26:06.785779] Epoch: [122] [480/850] eta: 0:05:22 lr: 0.002331 loss: 0.0283 (0.0304) loss_rec_all: 0.0645 (0.0665) loss_rec_sfr: 0.0729 (0.0947) loss_cl: -0.3671 (-0.3672) time: 0.8698 data: 0.0003 max mem: 29859 [04:26:23.980309] Epoch: [122] [500/850] eta: 0:05:04 lr: 0.002331 loss: 0.0292 (0.0304) loss_rec_all: 0.0653 (0.0665) loss_rec_sfr: 0.0688 (0.0944) loss_cl: -0.3666 (-0.3672) time: 0.8597 data: 0.0002 max mem: 29859 [04:26:41.250701] Epoch: [122] [520/850] eta: 0:04:47 lr: 0.002331 loss: 0.0280 (0.0303) loss_rec_all: 0.0641 (0.0664) loss_rec_sfr: 0.0676 (0.0938) loss_cl: -0.3669 (-0.3672) time: 0.8634 data: 0.0002 max mem: 29859 [04:26:58.548734] Epoch: [122] [540/850] eta: 0:04:29 lr: 0.002331 loss: 0.0310 (0.0304) loss_rec_all: 0.0668 (0.0665) loss_rec_sfr: 0.1054 (0.0939) loss_cl: -0.3673 (-0.3672) time: 0.8648 data: 0.0002 max mem: 29859 [04:27:15.783133] Epoch: [122] [560/850] eta: 0:04:12 lr: 0.002331 loss: 0.0323 (0.0306) loss_rec_all: 0.0681 (0.0666) loss_rec_sfr: 0.0851 (0.0941) loss_cl: -0.3676 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [04:27:33.032626] Epoch: [122] [580/850] eta: 0:03:54 lr: 0.002331 loss: 0.0303 (0.0306) loss_rec_all: 0.0664 (0.0667) loss_rec_sfr: 0.0802 (0.0940) loss_cl: -0.3677 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [04:27:50.335878] Epoch: [122] [600/850] eta: 0:03:37 lr: 0.002331 loss: 0.0303 (0.0306) loss_rec_all: 0.0666 (0.0667) loss_rec_sfr: 0.0791 (0.0939) loss_cl: -0.3674 (-0.3672) time: 0.8651 data: 0.0002 max mem: 29859 [04:28:07.539762] Epoch: [122] [620/850] eta: 0:03:19 lr: 0.002331 loss: 0.0306 (0.0307) loss_rec_all: 0.0667 (0.0667) loss_rec_sfr: 0.0791 (0.0938) loss_cl: -0.3675 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [04:28:24.875812] Epoch: [122] [640/850] eta: 0:03:02 lr: 0.002330 loss: 0.0288 (0.0306) loss_rec_all: 0.0651 (0.0667) loss_rec_sfr: 0.0765 (0.0935) loss_cl: -0.3675 (-0.3672) time: 0.8667 data: 0.0003 max mem: 29859 [04:28:42.080764] Epoch: [122] [660/850] eta: 0:02:45 lr: 0.002330 loss: 0.0298 (0.0306) loss_rec_all: 0.0658 (0.0667) loss_rec_sfr: 0.0978 (0.0935) loss_cl: -0.3673 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [04:28:59.332059] Epoch: [122] [680/850] eta: 0:02:27 lr: 0.002330 loss: 0.0293 (0.0306) loss_rec_all: 0.0654 (0.0667) loss_rec_sfr: 0.0774 (0.0934) loss_cl: -0.3675 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [04:29:16.623410] Epoch: [122] [700/850] eta: 0:02:10 lr: 0.002330 loss: 0.0303 (0.0306) loss_rec_all: 0.0662 (0.0667) loss_rec_sfr: 0.0977 (0.0936) loss_cl: -0.3677 (-0.3673) time: 0.8645 data: 0.0003 max mem: 29859 [04:29:33.863496] Epoch: [122] [720/850] eta: 0:01:52 lr: 0.002330 loss: 0.0299 (0.0306) loss_rec_all: 0.0656 (0.0667) loss_rec_sfr: 0.0803 (0.0936) loss_cl: -0.3678 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [04:29:51.103301] Epoch: [122] [740/850] eta: 0:01:35 lr: 0.002330 loss: 0.0302 (0.0306) loss_rec_all: 0.0661 (0.0667) loss_rec_sfr: 0.0970 (0.0938) loss_cl: -0.3658 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [04:30:08.444714] Epoch: [122] [760/850] eta: 0:01:18 lr: 0.002330 loss: 0.0304 (0.0306) loss_rec_all: 0.0661 (0.0667) loss_rec_sfr: 0.1169 (0.0943) loss_cl: -0.3665 (-0.3672) time: 0.8670 data: 0.0002 max mem: 29859 [04:30:25.621306] Epoch: [122] [780/850] eta: 0:01:00 lr: 0.002330 loss: 0.0290 (0.0306) loss_rec_all: 0.0652 (0.0667) loss_rec_sfr: 0.0724 (0.0941) loss_cl: -0.3668 (-0.3672) time: 0.8588 data: 0.0002 max mem: 29859 [04:30:43.086436] Epoch: [122] [800/850] eta: 0:00:43 lr: 0.002330 loss: 0.0283 (0.0306) loss_rec_all: 0.0643 (0.0666) loss_rec_sfr: 0.0773 (0.0940) loss_cl: -0.3671 (-0.3672) time: 0.8730 data: 0.0004 max mem: 29859 [04:31:00.327573] Epoch: [122] [820/850] eta: 0:00:26 lr: 0.002330 loss: 0.0294 (0.0306) loss_rec_all: 0.0655 (0.0666) loss_rec_sfr: 0.0719 (0.0939) loss_cl: -0.3676 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [04:31:17.638029] Epoch: [122] [840/850] eta: 0:00:08 lr: 0.002330 loss: 0.0281 (0.0305) loss_rec_all: 0.0643 (0.0666) loss_rec_sfr: 0.0769 (0.0938) loss_cl: -0.3680 (-0.3672) time: 0.8654 data: 0.0005 max mem: 29859 [04:31:25.587488] Epoch: [122] [849/850] eta: 0:00:00 lr: 0.002330 loss: 0.0291 (0.0305) loss_rec_all: 0.0652 (0.0666) loss_rec_sfr: 0.0803 (0.0939) loss_cl: -0.3677 (-0.3672) time: 0.8748 data: 0.0006 max mem: 29859 [04:31:25.749680] Epoch: [122] Total time: 0:12:17 (0.8680 s / it) [04:31:25.783125] Averaged stats: lr: 0.002330 loss: 0.0291 (0.0306) loss_rec_all: 0.0652 (0.0666) loss_rec_sfr: 0.0803 (0.0941) loss_cl: -0.3677 (-0.3672) [04:31:25.806016] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [04:31:31.405920] Epoch: [123] [ 0/850] eta: 1:19:19 lr: 0.002330 loss: 0.0327 (0.0327) loss_rec_all: 0.0684 (0.0684) loss_rec_sfr: 0.1449 (0.1449) loss_cl: -0.3674 (-0.3674) time: 5.5989 data: 4.5797 max mem: 29859 [04:31:48.569881] Epoch: [123] [ 20/850] eta: 0:14:59 lr: 0.002330 loss: 0.0302 (0.0322) loss_rec_all: 0.0660 (0.0682) loss_rec_sfr: 0.1036 (0.1044) loss_cl: -0.3671 (-0.3672) time: 0.8582 data: 0.0002 max mem: 29859 [04:32:05.821819] Epoch: [123] [ 40/850] eta: 0:13:10 lr: 0.002330 loss: 0.0316 (0.0322) loss_rec_all: 0.0674 (0.0682) loss_rec_sfr: 0.1125 (0.1022) loss_cl: -0.3674 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [04:32:23.109778] Epoch: [123] [ 60/850] eta: 0:12:22 lr: 0.002330 loss: 0.0304 (0.0320) loss_rec_all: 0.0666 (0.0681) loss_rec_sfr: 0.0724 (0.0993) loss_cl: -0.3669 (-0.3671) time: 0.8643 data: 0.0002 max mem: 29859 [04:32:40.355132] Epoch: [123] [ 80/850] eta: 0:11:48 lr: 0.002330 loss: 0.0312 (0.0321) loss_rec_all: 0.0671 (0.0681) loss_rec_sfr: 0.0999 (0.0996) loss_cl: -0.3667 (-0.3670) time: 0.8622 data: 0.0002 max mem: 29859 [04:32:57.581999] Epoch: [123] [100/850] eta: 0:11:21 lr: 0.002330 loss: 0.0295 (0.0319) loss_rec_all: 0.0656 (0.0679) loss_rec_sfr: 0.0776 (0.0987) loss_cl: -0.3666 (-0.3670) time: 0.8613 data: 0.0002 max mem: 29859 [04:33:14.939794] Epoch: [123] [120/850] eta: 0:10:58 lr: 0.002330 loss: 0.0284 (0.0315) loss_rec_all: 0.0647 (0.0676) loss_rec_sfr: 0.0770 (0.0977) loss_cl: -0.3674 (-0.3671) time: 0.8678 data: 0.0003 max mem: 29859 [04:33:32.152430] Epoch: [123] [140/850] eta: 0:10:36 lr: 0.002330 loss: 0.0297 (0.0316) loss_rec_all: 0.0657 (0.0676) loss_rec_sfr: 0.1020 (0.0978) loss_cl: -0.3670 (-0.3671) time: 0.8606 data: 0.0002 max mem: 29859 [04:33:49.472188] Epoch: [123] [160/850] eta: 0:10:15 lr: 0.002330 loss: 0.0288 (0.0313) loss_rec_all: 0.0651 (0.0674) loss_rec_sfr: 0.0720 (0.0960) loss_cl: -0.3668 (-0.3670) time: 0.8659 data: 0.0006 max mem: 29859 [04:34:06.704586] Epoch: [123] [180/850] eta: 0:09:55 lr: 0.002330 loss: 0.0291 (0.0312) loss_rec_all: 0.0651 (0.0672) loss_rec_sfr: 0.0761 (0.0967) loss_cl: -0.3665 (-0.3670) time: 0.8616 data: 0.0002 max mem: 29859 [04:34:23.978508] Epoch: [123] [200/850] eta: 0:09:36 lr: 0.002330 loss: 0.0317 (0.0312) loss_rec_all: 0.0674 (0.0672) loss_rec_sfr: 0.0987 (0.0970) loss_cl: -0.3672 (-0.3670) time: 0.8636 data: 0.0002 max mem: 29859 [04:34:41.194534] Epoch: [123] [220/850] eta: 0:09:16 lr: 0.002330 loss: 0.0302 (0.0312) loss_rec_all: 0.0660 (0.0672) loss_rec_sfr: 0.1011 (0.0974) loss_cl: -0.3680 (-0.3670) time: 0.8607 data: 0.0002 max mem: 29859 [04:34:58.432604] Epoch: [123] [240/850] eta: 0:08:58 lr: 0.002330 loss: 0.0305 (0.0311) loss_rec_all: 0.0663 (0.0671) loss_rec_sfr: 0.0986 (0.0977) loss_cl: -0.3679 (-0.3671) time: 0.8618 data: 0.0002 max mem: 29859 [04:35:15.660586] Epoch: [123] [260/850] eta: 0:08:39 lr: 0.002330 loss: 0.0297 (0.0310) loss_rec_all: 0.0659 (0.0671) loss_rec_sfr: 0.1117 (0.0986) loss_cl: -0.3678 (-0.3672) time: 0.8613 data: 0.0002 max mem: 29859 [04:35:32.917558] Epoch: [123] [280/850] eta: 0:08:21 lr: 0.002330 loss: 0.0293 (0.0310) loss_rec_all: 0.0651 (0.0670) loss_rec_sfr: 0.0829 (0.0983) loss_cl: -0.3677 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [04:35:50.152701] Epoch: [123] [300/850] eta: 0:08:02 lr: 0.002329 loss: 0.0278 (0.0308) loss_rec_all: 0.0640 (0.0669) loss_rec_sfr: 0.0804 (0.0981) loss_cl: -0.3672 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [04:36:07.403431] Epoch: [123] [320/850] eta: 0:07:44 lr: 0.002329 loss: 0.0278 (0.0307) loss_rec_all: 0.0641 (0.0668) loss_rec_sfr: 0.0967 (0.0981) loss_cl: -0.3674 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [04:36:24.634256] Epoch: [123] [340/850] eta: 0:07:26 lr: 0.002329 loss: 0.0274 (0.0306) loss_rec_all: 0.0636 (0.0667) loss_rec_sfr: 0.0974 (0.0981) loss_cl: -0.3674 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [04:36:41.877057] Epoch: [123] [360/850] eta: 0:07:08 lr: 0.002329 loss: 0.0273 (0.0305) loss_rec_all: 0.0634 (0.0666) loss_rec_sfr: 0.0758 (0.0972) loss_cl: -0.3670 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [04:36:59.089592] Epoch: [123] [380/850] eta: 0:06:51 lr: 0.002329 loss: 0.0283 (0.0304) loss_rec_all: 0.0644 (0.0665) loss_rec_sfr: 0.0704 (0.0967) loss_cl: -0.3665 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [04:37:16.341561] Epoch: [123] [400/850] eta: 0:06:33 lr: 0.002329 loss: 0.0287 (0.0304) loss_rec_all: 0.0646 (0.0664) loss_rec_sfr: 0.1003 (0.0966) loss_cl: -0.3673 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [04:37:33.535345] Epoch: [123] [420/850] eta: 0:06:15 lr: 0.002329 loss: 0.0311 (0.0305) loss_rec_all: 0.0670 (0.0665) loss_rec_sfr: 0.0792 (0.0965) loss_cl: -0.3672 (-0.3672) time: 0.8596 data: 0.0002 max mem: 29859 [04:37:50.814430] Epoch: [123] [440/850] eta: 0:05:57 lr: 0.002329 loss: 0.0294 (0.0304) loss_rec_all: 0.0655 (0.0665) loss_rec_sfr: 0.1082 (0.0967) loss_cl: -0.3671 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [04:38:08.015741] Epoch: [123] [460/850] eta: 0:05:40 lr: 0.002329 loss: 0.0291 (0.0304) loss_rec_all: 0.0652 (0.0664) loss_rec_sfr: 0.0732 (0.0963) loss_cl: -0.3673 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [04:38:25.282185] Epoch: [123] [480/850] eta: 0:05:22 lr: 0.002329 loss: 0.0335 (0.0306) loss_rec_all: 0.0696 (0.0667) loss_rec_sfr: 0.0985 (0.0963) loss_cl: -0.3673 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [04:38:42.488381] Epoch: [123] [500/850] eta: 0:05:05 lr: 0.002329 loss: 0.0328 (0.0307) loss_rec_all: 0.0690 (0.0668) loss_rec_sfr: 0.0814 (0.0967) loss_cl: -0.3673 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [04:38:59.722188] Epoch: [123] [520/850] eta: 0:04:47 lr: 0.002329 loss: 0.0304 (0.0308) loss_rec_all: 0.0668 (0.0668) loss_rec_sfr: 0.0796 (0.0964) loss_cl: -0.3677 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [04:39:16.911221] Epoch: [123] [540/850] eta: 0:04:29 lr: 0.002329 loss: 0.0298 (0.0308) loss_rec_all: 0.0660 (0.0668) loss_rec_sfr: 0.0790 (0.0962) loss_cl: -0.3673 (-0.3672) time: 0.8594 data: 0.0002 max mem: 29859 [04:39:34.162518] Epoch: [123] [560/850] eta: 0:04:12 lr: 0.002329 loss: 0.0290 (0.0308) loss_rec_all: 0.0653 (0.0668) loss_rec_sfr: 0.0744 (0.0958) loss_cl: -0.3674 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [04:39:51.358222] Epoch: [123] [580/850] eta: 0:03:54 lr: 0.002329 loss: 0.0291 (0.0307) loss_rec_all: 0.0653 (0.0668) loss_rec_sfr: 0.0762 (0.0957) loss_cl: -0.3672 (-0.3672) time: 0.8597 data: 0.0002 max mem: 29859 [04:40:08.600624] Epoch: [123] [600/850] eta: 0:03:37 lr: 0.002329 loss: 0.0284 (0.0307) loss_rec_all: 0.0646 (0.0667) loss_rec_sfr: 0.0697 (0.0954) loss_cl: -0.3668 (-0.3672) time: 0.8621 data: 0.0001 max mem: 29859 [04:40:25.809400] Epoch: [123] [620/850] eta: 0:03:19 lr: 0.002329 loss: 0.0299 (0.0307) loss_rec_all: 0.0661 (0.0667) loss_rec_sfr: 0.0745 (0.0952) loss_cl: -0.3664 (-0.3671) time: 0.8604 data: 0.0002 max mem: 29859 [04:40:43.066413] Epoch: [123] [640/850] eta: 0:03:02 lr: 0.002329 loss: 0.0285 (0.0306) loss_rec_all: 0.0647 (0.0667) loss_rec_sfr: 0.0784 (0.0951) loss_cl: -0.3670 (-0.3671) time: 0.8628 data: 0.0002 max mem: 29859 [04:41:00.276381] Epoch: [123] [660/850] eta: 0:02:45 lr: 0.002329 loss: 0.0309 (0.0306) loss_rec_all: 0.0666 (0.0667) loss_rec_sfr: 0.1011 (0.0953) loss_cl: -0.3673 (-0.3671) time: 0.8604 data: 0.0002 max mem: 29859 [04:41:17.592594] Epoch: [123] [680/850] eta: 0:02:27 lr: 0.002329 loss: 0.0290 (0.0306) loss_rec_all: 0.0652 (0.0667) loss_rec_sfr: 0.0788 (0.0954) loss_cl: -0.3674 (-0.3672) time: 0.8657 data: 0.0002 max mem: 29859 [04:41:34.859151] Epoch: [123] [700/850] eta: 0:02:10 lr: 0.002329 loss: 0.0286 (0.0306) loss_rec_all: 0.0649 (0.0666) loss_rec_sfr: 0.0678 (0.0953) loss_cl: -0.3676 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [04:41:52.204324] Epoch: [123] [720/850] eta: 0:01:52 lr: 0.002329 loss: 0.0293 (0.0306) loss_rec_all: 0.0652 (0.0666) loss_rec_sfr: 0.0997 (0.0954) loss_cl: -0.3677 (-0.3672) time: 0.8672 data: 0.0002 max mem: 29859 [04:42:09.487340] Epoch: [123] [740/850] eta: 0:01:35 lr: 0.002329 loss: 0.0288 (0.0306) loss_rec_all: 0.0650 (0.0666) loss_rec_sfr: 0.1002 (0.0954) loss_cl: -0.3676 (-0.3672) time: 0.8641 data: 0.0003 max mem: 29859 [04:42:26.875869] Epoch: [123] [760/850] eta: 0:01:18 lr: 0.002329 loss: 0.0292 (0.0306) loss_rec_all: 0.0650 (0.0666) loss_rec_sfr: 0.0818 (0.0954) loss_cl: -0.3676 (-0.3672) time: 0.8694 data: 0.0003 max mem: 29859 [04:42:44.080424] Epoch: [123] [780/850] eta: 0:01:00 lr: 0.002329 loss: 0.0308 (0.0306) loss_rec_all: 0.0670 (0.0666) loss_rec_sfr: 0.0994 (0.0954) loss_cl: -0.3673 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [04:43:01.322720] Epoch: [123] [800/850] eta: 0:00:43 lr: 0.002328 loss: 0.0304 (0.0306) loss_rec_all: 0.0662 (0.0666) loss_rec_sfr: 0.0997 (0.0957) loss_cl: -0.3678 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [04:43:18.521334] Epoch: [123] [820/850] eta: 0:00:26 lr: 0.002328 loss: 0.0294 (0.0306) loss_rec_all: 0.0656 (0.0666) loss_rec_sfr: 0.0752 (0.0956) loss_cl: -0.3675 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [04:43:35.784075] Epoch: [123] [840/850] eta: 0:00:08 lr: 0.002328 loss: 0.0303 (0.0306) loss_rec_all: 0.0664 (0.0666) loss_rec_sfr: 0.1021 (0.0959) loss_cl: -0.3681 (-0.3672) time: 0.8631 data: 0.0005 max mem: 29859 [04:43:43.528891] Epoch: [123] [849/850] eta: 0:00:00 lr: 0.002328 loss: 0.0301 (0.0306) loss_rec_all: 0.0660 (0.0666) loss_rec_sfr: 0.0798 (0.0959) loss_cl: -0.3681 (-0.3673) time: 0.8619 data: 0.0004 max mem: 29859 [04:43:43.667502] Epoch: [123] Total time: 0:12:17 (0.8681 s / it) [04:43:43.710501] Averaged stats: lr: 0.002328 loss: 0.0301 (0.0306) loss_rec_all: 0.0660 (0.0666) loss_rec_sfr: 0.0798 (0.0957) loss_cl: -0.3681 (-0.3672) [04:43:43.715596] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [04:43:48.116596] Epoch: [124] [ 0/850] eta: 1:02:20 lr: 0.002328 loss: 0.0294 (0.0294) loss_rec_all: 0.0657 (0.0657) loss_rec_sfr: 0.0691 (0.0691) loss_cl: -0.3677 (-0.3677) time: 4.4002 data: 3.5447 max mem: 29859 [04:44:05.283355] Epoch: [124] [ 20/850] eta: 0:14:12 lr: 0.002328 loss: 0.0300 (0.0309) loss_rec_all: 0.0659 (0.0669) loss_rec_sfr: 0.0987 (0.1005) loss_cl: -0.3674 (-0.3676) time: 0.8583 data: 0.0002 max mem: 29859 [04:44:22.509076] Epoch: [124] [ 40/850] eta: 0:12:46 lr: 0.002328 loss: 0.0291 (0.0304) loss_rec_all: 0.0649 (0.0664) loss_rec_sfr: 0.1020 (0.1002) loss_cl: -0.3669 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [04:44:39.708946] Epoch: [124] [ 60/850] eta: 0:12:05 lr: 0.002328 loss: 0.0274 (0.0294) loss_rec_all: 0.0635 (0.0655) loss_rec_sfr: 0.0660 (0.0957) loss_cl: -0.3665 (-0.3670) time: 0.8599 data: 0.0002 max mem: 29859 [04:44:56.955914] Epoch: [124] [ 80/850] eta: 0:11:36 lr: 0.002328 loss: 0.0283 (0.0294) loss_rec_all: 0.0644 (0.0654) loss_rec_sfr: 0.0759 (0.0964) loss_cl: -0.3669 (-0.3670) time: 0.8623 data: 0.0002 max mem: 29859 [04:45:14.175350] Epoch: [124] [100/850] eta: 0:11:11 lr: 0.002328 loss: 0.0273 (0.0291) loss_rec_all: 0.0635 (0.0652) loss_rec_sfr: 0.0688 (0.0935) loss_cl: -0.3674 (-0.3671) time: 0.8609 data: 0.0002 max mem: 29859 [04:45:31.414431] Epoch: [124] [120/850] eta: 0:10:49 lr: 0.002328 loss: 0.0309 (0.0297) loss_rec_all: 0.0671 (0.0657) loss_rec_sfr: 0.0998 (0.0941) loss_cl: -0.3677 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [04:45:48.646667] Epoch: [124] [140/850] eta: 0:10:29 lr: 0.002328 loss: 0.0298 (0.0299) loss_rec_all: 0.0661 (0.0659) loss_rec_sfr: 0.0748 (0.0934) loss_cl: -0.3673 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [04:46:05.889551] Epoch: [124] [160/850] eta: 0:10:09 lr: 0.002328 loss: 0.0302 (0.0299) loss_rec_all: 0.0659 (0.0660) loss_rec_sfr: 0.0999 (0.0945) loss_cl: -0.3664 (-0.3671) time: 0.8621 data: 0.0002 max mem: 29859 [04:46:23.147056] Epoch: [124] [180/850] eta: 0:09:50 lr: 0.002328 loss: 0.0297 (0.0300) loss_rec_all: 0.0654 (0.0660) loss_rec_sfr: 0.1024 (0.0956) loss_cl: -0.3669 (-0.3670) time: 0.8628 data: 0.0002 max mem: 29859 [04:46:40.399645] Epoch: [124] [200/850] eta: 0:09:31 lr: 0.002328 loss: 0.0280 (0.0298) loss_rec_all: 0.0640 (0.0658) loss_rec_sfr: 0.0735 (0.0944) loss_cl: -0.3670 (-0.3670) time: 0.8626 data: 0.0002 max mem: 29859 [04:46:57.603988] Epoch: [124] [220/850] eta: 0:09:12 lr: 0.002328 loss: 0.0290 (0.0298) loss_rec_all: 0.0653 (0.0658) loss_rec_sfr: 0.0789 (0.0946) loss_cl: -0.3672 (-0.3670) time: 0.8602 data: 0.0002 max mem: 29859 [04:47:14.875587] Epoch: [124] [240/850] eta: 0:08:54 lr: 0.002328 loss: 0.0287 (0.0298) loss_rec_all: 0.0645 (0.0658) loss_rec_sfr: 0.0920 (0.0947) loss_cl: -0.3677 (-0.3671) time: 0.8635 data: 0.0002 max mem: 29859 [04:47:32.085223] Epoch: [124] [260/850] eta: 0:08:36 lr: 0.002328 loss: 0.0286 (0.0298) loss_rec_all: 0.0649 (0.0659) loss_rec_sfr: 0.0719 (0.0935) loss_cl: -0.3682 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [04:47:49.334753] Epoch: [124] [280/850] eta: 0:08:18 lr: 0.002328 loss: 0.0305 (0.0299) loss_rec_all: 0.0668 (0.0660) loss_rec_sfr: 0.0993 (0.0937) loss_cl: -0.3678 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [04:48:06.551526] Epoch: [124] [300/850] eta: 0:08:00 lr: 0.002328 loss: 0.0304 (0.0299) loss_rec_all: 0.0661 (0.0660) loss_rec_sfr: 0.1004 (0.0945) loss_cl: -0.3670 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [04:48:23.780117] Epoch: [124] [320/850] eta: 0:07:42 lr: 0.002328 loss: 0.0313 (0.0301) loss_rec_all: 0.0672 (0.0661) loss_rec_sfr: 0.1019 (0.0954) loss_cl: -0.3667 (-0.3672) time: 0.8614 data: 0.0002 max mem: 29859 [04:48:40.984069] Epoch: [124] [340/850] eta: 0:07:24 lr: 0.002328 loss: 0.0294 (0.0301) loss_rec_all: 0.0656 (0.0662) loss_rec_sfr: 0.0803 (0.0950) loss_cl: -0.3673 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [04:48:58.308719] Epoch: [124] [360/850] eta: 0:07:06 lr: 0.002328 loss: 0.0296 (0.0302) loss_rec_all: 0.0657 (0.0662) loss_rec_sfr: 0.1034 (0.0955) loss_cl: -0.3675 (-0.3672) time: 0.8661 data: 0.0003 max mem: 29859 [04:49:15.538199] Epoch: [124] [380/850] eta: 0:06:49 lr: 0.002328 loss: 0.0292 (0.0302) loss_rec_all: 0.0653 (0.0662) loss_rec_sfr: 0.0968 (0.0956) loss_cl: -0.3674 (-0.3672) time: 0.8614 data: 0.0002 max mem: 29859 [04:49:32.780944] Epoch: [124] [400/850] eta: 0:06:31 lr: 0.002328 loss: 0.0296 (0.0302) loss_rec_all: 0.0655 (0.0662) loss_rec_sfr: 0.0978 (0.0960) loss_cl: -0.3673 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [04:49:50.010425] Epoch: [124] [420/850] eta: 0:06:14 lr: 0.002328 loss: 0.0281 (0.0301) loss_rec_all: 0.0644 (0.0662) loss_rec_sfr: 0.0752 (0.0955) loss_cl: -0.3664 (-0.3672) time: 0.8614 data: 0.0002 max mem: 29859 [04:50:07.260719] Epoch: [124] [440/850] eta: 0:05:56 lr: 0.002328 loss: 0.0299 (0.0301) loss_rec_all: 0.0660 (0.0662) loss_rec_sfr: 0.1062 (0.0959) loss_cl: -0.3667 (-0.3671) time: 0.8625 data: 0.0002 max mem: 29859 [04:50:24.480978] Epoch: [124] [460/850] eta: 0:05:39 lr: 0.002327 loss: 0.0280 (0.0301) loss_rec_all: 0.0641 (0.0661) loss_rec_sfr: 0.0810 (0.0958) loss_cl: -0.3672 (-0.3671) time: 0.8610 data: 0.0002 max mem: 29859 [04:50:41.733361] Epoch: [124] [480/850] eta: 0:05:21 lr: 0.002327 loss: 0.0280 (0.0300) loss_rec_all: 0.0640 (0.0661) loss_rec_sfr: 0.0719 (0.0954) loss_cl: -0.3674 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [04:50:58.950117] Epoch: [124] [500/850] eta: 0:05:04 lr: 0.002327 loss: 0.0281 (0.0300) loss_rec_all: 0.0643 (0.0660) loss_rec_sfr: 0.0731 (0.0948) loss_cl: -0.3678 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [04:51:16.200061] Epoch: [124] [520/850] eta: 0:04:46 lr: 0.002327 loss: 0.0274 (0.0300) loss_rec_all: 0.0638 (0.0660) loss_rec_sfr: 0.0746 (0.0947) loss_cl: -0.3675 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [04:51:33.416451] Epoch: [124] [540/850] eta: 0:04:29 lr: 0.002327 loss: 0.0295 (0.0300) loss_rec_all: 0.0656 (0.0660) loss_rec_sfr: 0.0831 (0.0949) loss_cl: -0.3675 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [04:51:50.661712] Epoch: [124] [560/850] eta: 0:04:11 lr: 0.002327 loss: 0.0282 (0.0300) loss_rec_all: 0.0639 (0.0660) loss_rec_sfr: 0.0717 (0.0945) loss_cl: -0.3667 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [04:52:07.878963] Epoch: [124] [580/850] eta: 0:03:54 lr: 0.002327 loss: 0.0297 (0.0300) loss_rec_all: 0.0655 (0.0660) loss_rec_sfr: 0.0760 (0.0944) loss_cl: -0.3667 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [04:52:25.129576] Epoch: [124] [600/850] eta: 0:03:36 lr: 0.002327 loss: 0.0283 (0.0299) loss_rec_all: 0.0641 (0.0660) loss_rec_sfr: 0.0764 (0.0943) loss_cl: -0.3667 (-0.3671) time: 0.8625 data: 0.0001 max mem: 29859 [04:52:42.331488] Epoch: [124] [620/850] eta: 0:03:19 lr: 0.002327 loss: 0.0267 (0.0299) loss_rec_all: 0.0628 (0.0659) loss_rec_sfr: 0.0731 (0.0938) loss_cl: -0.3672 (-0.3671) time: 0.8601 data: 0.0001 max mem: 29859 [04:52:59.595434] Epoch: [124] [640/850] eta: 0:03:02 lr: 0.002327 loss: 0.0312 (0.0299) loss_rec_all: 0.0670 (0.0660) loss_rec_sfr: 0.1030 (0.0941) loss_cl: -0.3674 (-0.3671) time: 0.8632 data: 0.0001 max mem: 29859 [04:53:16.790345] Epoch: [124] [660/850] eta: 0:02:44 lr: 0.002327 loss: 0.0303 (0.0300) loss_rec_all: 0.0667 (0.0661) loss_rec_sfr: 0.0813 (0.0939) loss_cl: -0.3682 (-0.3672) time: 0.8597 data: 0.0001 max mem: 29859 [04:53:34.040440] Epoch: [124] [680/850] eta: 0:02:27 lr: 0.002327 loss: 0.0304 (0.0300) loss_rec_all: 0.0662 (0.0661) loss_rec_sfr: 0.0980 (0.0943) loss_cl: -0.3675 (-0.3672) time: 0.8625 data: 0.0001 max mem: 29859 [04:53:51.256501] Epoch: [124] [700/850] eta: 0:02:09 lr: 0.002327 loss: 0.0286 (0.0300) loss_rec_all: 0.0647 (0.0661) loss_rec_sfr: 0.0776 (0.0945) loss_cl: -0.3679 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [04:54:08.504239] Epoch: [124] [720/850] eta: 0:01:52 lr: 0.002327 loss: 0.0299 (0.0300) loss_rec_all: 0.0662 (0.0661) loss_rec_sfr: 0.0766 (0.0944) loss_cl: -0.3680 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [04:54:25.726641] Epoch: [124] [740/850] eta: 0:01:35 lr: 0.002327 loss: 0.0296 (0.0300) loss_rec_all: 0.0659 (0.0661) loss_rec_sfr: 0.0776 (0.0945) loss_cl: -0.3677 (-0.3672) time: 0.8611 data: 0.0002 max mem: 29859 [04:54:42.971131] Epoch: [124] [760/850] eta: 0:01:17 lr: 0.002327 loss: 0.0298 (0.0300) loss_rec_all: 0.0655 (0.0661) loss_rec_sfr: 0.0774 (0.0945) loss_cl: -0.3668 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [04:55:00.188107] Epoch: [124] [780/850] eta: 0:01:00 lr: 0.002327 loss: 0.0280 (0.0300) loss_rec_all: 0.0641 (0.0660) loss_rec_sfr: 0.0634 (0.0941) loss_cl: -0.3663 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [04:55:17.413280] Epoch: [124] [800/850] eta: 0:00:43 lr: 0.002327 loss: 0.0288 (0.0300) loss_rec_all: 0.0649 (0.0660) loss_rec_sfr: 0.0788 (0.0939) loss_cl: -0.3667 (-0.3672) time: 0.8612 data: 0.0002 max mem: 29859 [04:55:34.604915] Epoch: [124] [820/850] eta: 0:00:25 lr: 0.002327 loss: 0.0290 (0.0299) loss_rec_all: 0.0651 (0.0660) loss_rec_sfr: 0.0838 (0.0940) loss_cl: -0.3672 (-0.3672) time: 0.8595 data: 0.0002 max mem: 29859 [04:55:51.841168] Epoch: [124] [840/850] eta: 0:00:08 lr: 0.002327 loss: 0.0312 (0.0300) loss_rec_all: 0.0670 (0.0661) loss_rec_sfr: 0.1069 (0.0943) loss_cl: -0.3673 (-0.3672) time: 0.8618 data: 0.0004 max mem: 29859 [04:55:59.579285] Epoch: [124] [849/850] eta: 0:00:00 lr: 0.002327 loss: 0.0331 (0.0301) loss_rec_all: 0.0691 (0.0662) loss_rec_sfr: 0.1097 (0.0945) loss_cl: -0.3668 (-0.3672) time: 0.8618 data: 0.0004 max mem: 29859 [04:55:59.769735] Epoch: [124] Total time: 0:12:16 (0.8659 s / it) [04:55:59.775484] Averaged stats: lr: 0.002327 loss: 0.0331 (0.0301) loss_rec_all: 0.0691 (0.0662) loss_rec_sfr: 0.1097 (0.0953) loss_cl: -0.3668 (-0.3672) [04:55:59.793494] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [04:56:04.535948] Epoch: [125] [ 0/850] eta: 1:07:10 lr: 0.002327 loss: 0.0362 (0.0362) loss_rec_all: 0.0718 (0.0718) loss_rec_sfr: 0.1270 (0.1270) loss_cl: -0.3651 (-0.3651) time: 4.7414 data: 3.8806 max mem: 29859 [04:56:21.705344] Epoch: [125] [ 20/850] eta: 0:14:25 lr: 0.002327 loss: 0.0328 (0.0347) loss_rec_all: 0.0691 (0.0707) loss_rec_sfr: 0.0739 (0.0939) loss_cl: -0.3669 (-0.3666) time: 0.8584 data: 0.0002 max mem: 29859 [04:56:38.926606] Epoch: [125] [ 40/850] eta: 0:12:53 lr: 0.002327 loss: 0.0327 (0.0337) loss_rec_all: 0.0689 (0.0697) loss_rec_sfr: 0.0787 (0.0969) loss_cl: -0.3674 (-0.3669) time: 0.8610 data: 0.0002 max mem: 29859 [04:56:56.129470] Epoch: [125] [ 60/850] eta: 0:12:09 lr: 0.002327 loss: 0.0315 (0.0332) loss_rec_all: 0.0675 (0.0692) loss_rec_sfr: 0.0799 (0.0963) loss_cl: -0.3672 (-0.3670) time: 0.8601 data: 0.0001 max mem: 29859 [04:57:13.365966] Epoch: [125] [ 80/850] eta: 0:11:39 lr: 0.002327 loss: 0.0302 (0.0327) loss_rec_all: 0.0664 (0.0687) loss_rec_sfr: 0.1019 (0.0985) loss_cl: -0.3677 (-0.3672) time: 0.8618 data: 0.0001 max mem: 29859 [04:57:30.570050] Epoch: [125] [100/850] eta: 0:11:14 lr: 0.002326 loss: 0.0307 (0.0324) loss_rec_all: 0.0666 (0.0684) loss_rec_sfr: 0.1067 (0.1000) loss_cl: -0.3680 (-0.3673) time: 0.8602 data: 0.0001 max mem: 29859 [04:57:47.820399] Epoch: [125] [120/850] eta: 0:10:51 lr: 0.002326 loss: 0.0295 (0.0321) loss_rec_all: 0.0658 (0.0681) loss_rec_sfr: 0.0837 (0.0988) loss_cl: -0.3680 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [04:58:05.057745] Epoch: [125] [140/850] eta: 0:10:30 lr: 0.002326 loss: 0.0278 (0.0316) loss_rec_all: 0.0636 (0.0676) loss_rec_sfr: 0.0920 (0.0986) loss_cl: -0.3676 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [04:58:22.300525] Epoch: [125] [160/850] eta: 0:10:10 lr: 0.002326 loss: 0.0285 (0.0313) loss_rec_all: 0.0647 (0.0673) loss_rec_sfr: 0.0808 (0.0979) loss_cl: -0.3673 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [04:58:39.529177] Epoch: [125] [180/850] eta: 0:09:51 lr: 0.002326 loss: 0.0286 (0.0311) loss_rec_all: 0.0648 (0.0671) loss_rec_sfr: 0.0937 (0.0973) loss_cl: -0.3671 (-0.3674) time: 0.8614 data: 0.0002 max mem: 29859 [04:58:56.770291] Epoch: [125] [200/850] eta: 0:09:32 lr: 0.002326 loss: 0.0293 (0.0310) loss_rec_all: 0.0651 (0.0670) loss_rec_sfr: 0.1002 (0.0981) loss_cl: -0.3666 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [04:59:13.978389] Epoch: [125] [220/850] eta: 0:09:13 lr: 0.002326 loss: 0.0293 (0.0310) loss_rec_all: 0.0654 (0.0670) loss_rec_sfr: 0.0707 (0.0977) loss_cl: -0.3665 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [04:59:31.274437] Epoch: [125] [240/850] eta: 0:08:55 lr: 0.002326 loss: 0.0282 (0.0308) loss_rec_all: 0.0644 (0.0669) loss_rec_sfr: 0.0718 (0.0971) loss_cl: -0.3668 (-0.3672) time: 0.8648 data: 0.0002 max mem: 29859 [04:59:48.476636] Epoch: [125] [260/850] eta: 0:08:36 lr: 0.002326 loss: 0.0272 (0.0306) loss_rec_all: 0.0631 (0.0667) loss_rec_sfr: 0.1069 (0.0975) loss_cl: -0.3673 (-0.3672) time: 0.8601 data: 0.0001 max mem: 29859 [05:00:05.756350] Epoch: [125] [280/850] eta: 0:08:18 lr: 0.002326 loss: 0.0277 (0.0305) loss_rec_all: 0.0640 (0.0665) loss_rec_sfr: 0.0743 (0.0966) loss_cl: -0.3675 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [05:00:22.969986] Epoch: [125] [300/850] eta: 0:08:00 lr: 0.002326 loss: 0.0274 (0.0303) loss_rec_all: 0.0637 (0.0664) loss_rec_sfr: 0.0749 (0.0956) loss_cl: -0.3677 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [05:00:40.220363] Epoch: [125] [320/850] eta: 0:07:42 lr: 0.002326 loss: 0.0275 (0.0302) loss_rec_all: 0.0638 (0.0663) loss_rec_sfr: 0.0823 (0.0952) loss_cl: -0.3675 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [05:00:57.435797] Epoch: [125] [340/850] eta: 0:07:25 lr: 0.002326 loss: 0.0278 (0.0301) loss_rec_all: 0.0640 (0.0662) loss_rec_sfr: 0.0867 (0.0951) loss_cl: -0.3673 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [05:01:14.686481] Epoch: [125] [360/850] eta: 0:07:07 lr: 0.002326 loss: 0.0279 (0.0301) loss_rec_all: 0.0641 (0.0662) loss_rec_sfr: 0.0757 (0.0946) loss_cl: -0.3666 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [05:01:31.897525] Epoch: [125] [380/850] eta: 0:06:49 lr: 0.002326 loss: 0.0277 (0.0300) loss_rec_all: 0.0637 (0.0661) loss_rec_sfr: 0.0677 (0.0942) loss_cl: -0.3669 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [05:01:49.153183] Epoch: [125] [400/850] eta: 0:06:32 lr: 0.002326 loss: 0.0293 (0.0300) loss_rec_all: 0.0655 (0.0661) loss_rec_sfr: 0.0763 (0.0944) loss_cl: -0.3677 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [05:02:06.392079] Epoch: [125] [420/850] eta: 0:06:14 lr: 0.002326 loss: 0.0319 (0.0301) loss_rec_all: 0.0675 (0.0661) loss_rec_sfr: 0.1001 (0.0946) loss_cl: -0.3680 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [05:02:23.641620] Epoch: [125] [440/850] eta: 0:05:56 lr: 0.002326 loss: 0.0296 (0.0301) loss_rec_all: 0.0657 (0.0662) loss_rec_sfr: 0.1010 (0.0948) loss_cl: -0.3678 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [05:02:40.865351] Epoch: [125] [460/850] eta: 0:05:39 lr: 0.002326 loss: 0.0295 (0.0301) loss_rec_all: 0.0653 (0.0662) loss_rec_sfr: 0.0834 (0.0947) loss_cl: -0.3671 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [05:02:58.111590] Epoch: [125] [480/850] eta: 0:05:21 lr: 0.002326 loss: 0.0294 (0.0301) loss_rec_all: 0.0656 (0.0662) loss_rec_sfr: 0.0979 (0.0946) loss_cl: -0.3672 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [05:03:15.340337] Epoch: [125] [500/850] eta: 0:05:04 lr: 0.002326 loss: 0.0295 (0.0301) loss_rec_all: 0.0655 (0.0662) loss_rec_sfr: 0.0775 (0.0943) loss_cl: -0.3669 (-0.3672) time: 0.8614 data: 0.0002 max mem: 29859 [05:03:32.580806] Epoch: [125] [520/850] eta: 0:04:46 lr: 0.002326 loss: 0.0280 (0.0301) loss_rec_all: 0.0643 (0.0661) loss_rec_sfr: 0.0739 (0.0943) loss_cl: -0.3677 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [05:03:49.815373] Epoch: [125] [540/850] eta: 0:04:29 lr: 0.002326 loss: 0.0296 (0.0301) loss_rec_all: 0.0655 (0.0661) loss_rec_sfr: 0.1045 (0.0948) loss_cl: -0.3674 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [05:04:07.056502] Epoch: [125] [560/850] eta: 0:04:11 lr: 0.002326 loss: 0.0306 (0.0301) loss_rec_all: 0.0664 (0.0662) loss_rec_sfr: 0.1007 (0.0949) loss_cl: -0.3672 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [05:04:24.253021] Epoch: [125] [580/850] eta: 0:03:54 lr: 0.002326 loss: 0.0300 (0.0301) loss_rec_all: 0.0660 (0.0662) loss_rec_sfr: 0.0751 (0.0950) loss_cl: -0.3667 (-0.3672) time: 0.8598 data: 0.0001 max mem: 29859 [05:04:41.528458] Epoch: [125] [600/850] eta: 0:03:37 lr: 0.002325 loss: 0.0299 (0.0302) loss_rec_all: 0.0656 (0.0662) loss_rec_sfr: 0.1056 (0.0953) loss_cl: -0.3668 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [05:04:58.727546] Epoch: [125] [620/850] eta: 0:03:19 lr: 0.002325 loss: 0.0288 (0.0302) loss_rec_all: 0.0649 (0.0662) loss_rec_sfr: 0.0806 (0.0951) loss_cl: -0.3667 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [05:05:15.986016] Epoch: [125] [640/850] eta: 0:03:02 lr: 0.002325 loss: 0.0286 (0.0302) loss_rec_all: 0.0650 (0.0662) loss_rec_sfr: 0.0773 (0.0951) loss_cl: -0.3673 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [05:05:33.193133] Epoch: [125] [660/850] eta: 0:02:44 lr: 0.002325 loss: 0.0294 (0.0302) loss_rec_all: 0.0656 (0.0663) loss_rec_sfr: 0.1027 (0.0950) loss_cl: -0.3673 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [05:05:50.446504] Epoch: [125] [680/850] eta: 0:02:27 lr: 0.002325 loss: 0.0312 (0.0303) loss_rec_all: 0.0671 (0.0663) loss_rec_sfr: 0.0837 (0.0950) loss_cl: -0.3671 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [05:06:07.655580] Epoch: [125] [700/850] eta: 0:02:10 lr: 0.002325 loss: 0.0327 (0.0304) loss_rec_all: 0.0688 (0.0665) loss_rec_sfr: 0.1047 (0.0951) loss_cl: -0.3669 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [05:06:24.912715] Epoch: [125] [720/850] eta: 0:01:52 lr: 0.002325 loss: 0.0347 (0.0306) loss_rec_all: 0.0707 (0.0666) loss_rec_sfr: 0.0851 (0.0952) loss_cl: -0.3672 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [05:06:42.119508] Epoch: [125] [740/850] eta: 0:01:35 lr: 0.002325 loss: 0.0331 (0.0307) loss_rec_all: 0.0691 (0.0667) loss_rec_sfr: 0.0868 (0.0953) loss_cl: -0.3676 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [05:06:59.375167] Epoch: [125] [760/850] eta: 0:01:18 lr: 0.002325 loss: 0.0320 (0.0307) loss_rec_all: 0.0683 (0.0668) loss_rec_sfr: 0.0795 (0.0953) loss_cl: -0.3678 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [05:07:16.586625] Epoch: [125] [780/850] eta: 0:01:00 lr: 0.002325 loss: 0.0306 (0.0308) loss_rec_all: 0.0666 (0.0668) loss_rec_sfr: 0.0757 (0.0953) loss_cl: -0.3679 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [05:07:33.854035] Epoch: [125] [800/850] eta: 0:00:43 lr: 0.002325 loss: 0.0289 (0.0308) loss_rec_all: 0.0651 (0.0668) loss_rec_sfr: 0.0797 (0.0952) loss_cl: -0.3673 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [05:07:51.081518] Epoch: [125] [820/850] eta: 0:00:25 lr: 0.002325 loss: 0.0295 (0.0307) loss_rec_all: 0.0653 (0.0668) loss_rec_sfr: 0.0754 (0.0954) loss_cl: -0.3670 (-0.3672) time: 0.8613 data: 0.0002 max mem: 29859 [05:08:08.335490] Epoch: [125] [840/850] eta: 0:00:08 lr: 0.002325 loss: 0.0298 (0.0307) loss_rec_all: 0.0659 (0.0668) loss_rec_sfr: 0.0996 (0.0955) loss_cl: -0.3669 (-0.3672) time: 0.8627 data: 0.0004 max mem: 29859 [05:08:16.089894] Epoch: [125] [849/850] eta: 0:00:00 lr: 0.002325 loss: 0.0291 (0.0307) loss_rec_all: 0.0653 (0.0668) loss_rec_sfr: 0.0777 (0.0955) loss_cl: -0.3669 (-0.3672) time: 0.8627 data: 0.0004 max mem: 29859 [05:08:16.273647] Epoch: [125] Total time: 0:12:16 (0.8664 s / it) [05:08:16.284566] Averaged stats: lr: 0.002325 loss: 0.0291 (0.0308) loss_rec_all: 0.0653 (0.0668) loss_rec_sfr: 0.0777 (0.0955) loss_cl: -0.3669 (-0.3672) [05:08:16.299853] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [05:08:20.619777] Epoch: [126] [ 0/850] eta: 1:01:11 lr: 0.002325 loss: 0.0336 (0.0336) loss_rec_all: 0.0693 (0.0693) loss_rec_sfr: 0.1566 (0.1566) loss_cl: -0.3683 (-0.3683) time: 4.3191 data: 3.4642 max mem: 29859 [05:08:37.792352] Epoch: [126] [ 20/850] eta: 0:14:09 lr: 0.002325 loss: 0.0271 (0.0291) loss_rec_all: 0.0634 (0.0652) loss_rec_sfr: 0.0695 (0.0931) loss_cl: -0.3677 (-0.3676) time: 0.8586 data: 0.0002 max mem: 29859 [05:08:55.024619] Epoch: [126] [ 40/850] eta: 0:12:44 lr: 0.002325 loss: 0.0279 (0.0288) loss_rec_all: 0.0636 (0.0649) loss_rec_sfr: 0.0980 (0.0957) loss_cl: -0.3682 (-0.3679) time: 0.8616 data: 0.0002 max mem: 29859 [05:09:12.233945] Epoch: [126] [ 60/850] eta: 0:12:04 lr: 0.002325 loss: 0.0265 (0.0284) loss_rec_all: 0.0628 (0.0645) loss_rec_sfr: 0.0712 (0.0916) loss_cl: -0.3680 (-0.3679) time: 0.8604 data: 0.0002 max mem: 29859 [05:09:29.472366] Epoch: [126] [ 80/850] eta: 0:11:35 lr: 0.002325 loss: 0.0284 (0.0287) loss_rec_all: 0.0646 (0.0648) loss_rec_sfr: 0.1166 (0.0959) loss_cl: -0.3671 (-0.3677) time: 0.8619 data: 0.0002 max mem: 29859 [05:09:46.681916] Epoch: [126] [100/850] eta: 0:11:11 lr: 0.002325 loss: 0.0273 (0.0287) loss_rec_all: 0.0636 (0.0648) loss_rec_sfr: 0.0706 (0.0947) loss_cl: -0.3669 (-0.3675) time: 0.8604 data: 0.0002 max mem: 29859 [05:10:03.929654] Epoch: [126] [120/850] eta: 0:10:49 lr: 0.002325 loss: 0.0301 (0.0290) loss_rec_all: 0.0660 (0.0651) loss_rec_sfr: 0.1139 (0.0968) loss_cl: -0.3663 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [05:10:21.147984] Epoch: [126] [140/850] eta: 0:10:28 lr: 0.002325 loss: 0.0273 (0.0289) loss_rec_all: 0.0635 (0.0650) loss_rec_sfr: 0.0730 (0.0954) loss_cl: -0.3664 (-0.3671) time: 0.8609 data: 0.0002 max mem: 29859 [05:10:38.396671] Epoch: [126] [160/850] eta: 0:10:08 lr: 0.002325 loss: 0.0276 (0.0289) loss_rec_all: 0.0638 (0.0649) loss_rec_sfr: 0.0727 (0.0946) loss_cl: -0.3671 (-0.3671) time: 0.8624 data: 0.0002 max mem: 29859 [05:10:55.618922] Epoch: [126] [180/850] eta: 0:09:49 lr: 0.002325 loss: 0.0285 (0.0290) loss_rec_all: 0.0647 (0.0650) loss_rec_sfr: 0.0785 (0.0937) loss_cl: -0.3672 (-0.3671) time: 0.8611 data: 0.0002 max mem: 29859 [05:11:12.864902] Epoch: [126] [200/850] eta: 0:09:30 lr: 0.002325 loss: 0.0286 (0.0291) loss_rec_all: 0.0644 (0.0651) loss_rec_sfr: 0.0980 (0.0942) loss_cl: -0.3673 (-0.3671) time: 0.8623 data: 0.0002 max mem: 29859 [05:11:30.082779] Epoch: [126] [220/850] eta: 0:09:12 lr: 0.002325 loss: 0.0268 (0.0290) loss_rec_all: 0.0630 (0.0650) loss_rec_sfr: 0.0649 (0.0932) loss_cl: -0.3668 (-0.3671) time: 0.8608 data: 0.0002 max mem: 29859 [05:11:47.331019] Epoch: [126] [240/850] eta: 0:08:54 lr: 0.002324 loss: 0.0293 (0.0290) loss_rec_all: 0.0651 (0.0651) loss_rec_sfr: 0.0855 (0.0936) loss_cl: -0.3673 (-0.3671) time: 0.8624 data: 0.0002 max mem: 29859 [05:12:04.542796] Epoch: [126] [260/850] eta: 0:08:35 lr: 0.002324 loss: 0.0300 (0.0292) loss_rec_all: 0.0661 (0.0652) loss_rec_sfr: 0.1000 (0.0939) loss_cl: -0.3679 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [05:12:21.849516] Epoch: [126] [280/850] eta: 0:08:18 lr: 0.002324 loss: 0.0287 (0.0292) loss_rec_all: 0.0650 (0.0653) loss_rec_sfr: 0.0799 (0.0940) loss_cl: -0.3685 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [05:12:39.047619] Epoch: [126] [300/850] eta: 0:08:00 lr: 0.002324 loss: 0.0305 (0.0294) loss_rec_all: 0.0665 (0.0655) loss_rec_sfr: 0.0985 (0.0943) loss_cl: -0.3678 (-0.3673) time: 0.8599 data: 0.0002 max mem: 29859 [05:12:56.309691] Epoch: [126] [320/850] eta: 0:07:42 lr: 0.002324 loss: 0.0301 (0.0296) loss_rec_all: 0.0662 (0.0656) loss_rec_sfr: 0.1014 (0.0946) loss_cl: -0.3672 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [05:13:13.511181] Epoch: [126] [340/850] eta: 0:07:24 lr: 0.002324 loss: 0.0287 (0.0296) loss_rec_all: 0.0649 (0.0656) loss_rec_sfr: 0.0727 (0.0943) loss_cl: -0.3671 (-0.3673) time: 0.8600 data: 0.0002 max mem: 29859 [05:13:30.767408] Epoch: [126] [360/850] eta: 0:07:06 lr: 0.002324 loss: 0.0301 (0.0296) loss_rec_all: 0.0663 (0.0657) loss_rec_sfr: 0.1021 (0.0947) loss_cl: -0.3671 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [05:13:47.978140] Epoch: [126] [380/850] eta: 0:06:49 lr: 0.002324 loss: 0.0306 (0.0297) loss_rec_all: 0.0664 (0.0658) loss_rec_sfr: 0.0977 (0.0951) loss_cl: -0.3667 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [05:14:05.231373] Epoch: [126] [400/850] eta: 0:06:31 lr: 0.002324 loss: 0.0283 (0.0297) loss_rec_all: 0.0641 (0.0657) loss_rec_sfr: 0.1034 (0.0954) loss_cl: -0.3669 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [05:14:22.437724] Epoch: [126] [420/850] eta: 0:06:13 lr: 0.002324 loss: 0.0290 (0.0297) loss_rec_all: 0.0653 (0.0657) loss_rec_sfr: 0.0954 (0.0957) loss_cl: -0.3667 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [05:14:39.681982] Epoch: [126] [440/850] eta: 0:05:56 lr: 0.002324 loss: 0.0277 (0.0296) loss_rec_all: 0.0637 (0.0657) loss_rec_sfr: 0.0776 (0.0956) loss_cl: -0.3673 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [05:14:56.883932] Epoch: [126] [460/850] eta: 0:05:38 lr: 0.002324 loss: 0.0294 (0.0297) loss_rec_all: 0.0657 (0.0657) loss_rec_sfr: 0.0969 (0.0959) loss_cl: -0.3678 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [05:15:14.151753] Epoch: [126] [480/850] eta: 0:05:21 lr: 0.002324 loss: 0.0286 (0.0296) loss_rec_all: 0.0648 (0.0657) loss_rec_sfr: 0.1115 (0.0964) loss_cl: -0.3676 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [05:15:31.362119] Epoch: [126] [500/850] eta: 0:05:03 lr: 0.002324 loss: 0.0288 (0.0297) loss_rec_all: 0.0651 (0.0657) loss_rec_sfr: 0.0762 (0.0960) loss_cl: -0.3675 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [05:15:48.608550] Epoch: [126] [520/850] eta: 0:04:46 lr: 0.002324 loss: 0.0295 (0.0297) loss_rec_all: 0.0655 (0.0657) loss_rec_sfr: 0.0751 (0.0958) loss_cl: -0.3675 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [05:16:05.831456] Epoch: [126] [540/850] eta: 0:04:29 lr: 0.002324 loss: 0.0297 (0.0297) loss_rec_all: 0.0656 (0.0657) loss_rec_sfr: 0.0976 (0.0960) loss_cl: -0.3671 (-0.3672) time: 0.8611 data: 0.0002 max mem: 29859 [05:16:23.070937] Epoch: [126] [560/850] eta: 0:04:11 lr: 0.002324 loss: 0.0287 (0.0297) loss_rec_all: 0.0648 (0.0658) loss_rec_sfr: 0.0740 (0.0957) loss_cl: -0.3663 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [05:16:40.292460] Epoch: [126] [580/850] eta: 0:03:54 lr: 0.002324 loss: 0.0289 (0.0297) loss_rec_all: 0.0649 (0.0658) loss_rec_sfr: 0.1019 (0.0960) loss_cl: -0.3668 (-0.3672) time: 0.8610 data: 0.0002 max mem: 29859 [05:16:57.538268] Epoch: [126] [600/850] eta: 0:03:36 lr: 0.002324 loss: 0.0294 (0.0297) loss_rec_all: 0.0657 (0.0658) loss_rec_sfr: 0.0784 (0.0958) loss_cl: -0.3677 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [05:17:14.781421] Epoch: [126] [620/850] eta: 0:03:19 lr: 0.002324 loss: 0.0300 (0.0298) loss_rec_all: 0.0662 (0.0658) loss_rec_sfr: 0.0994 (0.0959) loss_cl: -0.3680 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [05:17:32.069495] Epoch: [126] [640/850] eta: 0:03:02 lr: 0.002324 loss: 0.0280 (0.0298) loss_rec_all: 0.0639 (0.0658) loss_rec_sfr: 0.0783 (0.0959) loss_cl: -0.3678 (-0.3672) time: 0.8643 data: 0.0002 max mem: 29859 [05:17:49.277617] Epoch: [126] [660/850] eta: 0:02:44 lr: 0.002324 loss: 0.0292 (0.0298) loss_rec_all: 0.0654 (0.0658) loss_rec_sfr: 0.0778 (0.0958) loss_cl: -0.3677 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [05:18:06.516086] Epoch: [126] [680/850] eta: 0:02:27 lr: 0.002324 loss: 0.0289 (0.0298) loss_rec_all: 0.0647 (0.0658) loss_rec_sfr: 0.0739 (0.0959) loss_cl: -0.3672 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [05:18:23.733943] Epoch: [126] [700/850] eta: 0:02:09 lr: 0.002324 loss: 0.0284 (0.0297) loss_rec_all: 0.0645 (0.0658) loss_rec_sfr: 0.0733 (0.0956) loss_cl: -0.3668 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [05:18:40.966217] Epoch: [126] [720/850] eta: 0:01:52 lr: 0.002323 loss: 0.0311 (0.0298) loss_rec_all: 0.0668 (0.0659) loss_rec_sfr: 0.1057 (0.0959) loss_cl: -0.3667 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [05:18:58.228485] Epoch: [126] [740/850] eta: 0:01:35 lr: 0.002323 loss: 0.0313 (0.0299) loss_rec_all: 0.0670 (0.0659) loss_rec_sfr: 0.1101 (0.0960) loss_cl: -0.3668 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [05:19:15.465393] Epoch: [126] [760/850] eta: 0:01:17 lr: 0.002323 loss: 0.0301 (0.0299) loss_rec_all: 0.0661 (0.0660) loss_rec_sfr: 0.0822 (0.0961) loss_cl: -0.3673 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [05:19:32.674760] Epoch: [126] [780/850] eta: 0:01:00 lr: 0.002323 loss: 0.0301 (0.0299) loss_rec_all: 0.0661 (0.0660) loss_rec_sfr: 0.0787 (0.0960) loss_cl: -0.3676 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [05:19:49.924503] Epoch: [126] [800/850] eta: 0:00:43 lr: 0.002323 loss: 0.0299 (0.0300) loss_rec_all: 0.0663 (0.0660) loss_rec_sfr: 0.0993 (0.0959) loss_cl: -0.3677 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [05:20:07.120730] Epoch: [126] [820/850] eta: 0:00:25 lr: 0.002323 loss: 0.0279 (0.0299) loss_rec_all: 0.0639 (0.0660) loss_rec_sfr: 0.0663 (0.0957) loss_cl: -0.3672 (-0.3672) time: 0.8598 data: 0.0002 max mem: 29859 [05:20:24.376234] Epoch: [126] [840/850] eta: 0:00:08 lr: 0.002323 loss: 0.0276 (0.0299) loss_rec_all: 0.0638 (0.0659) loss_rec_sfr: 0.0738 (0.0956) loss_cl: -0.3673 (-0.3672) time: 0.8627 data: 0.0004 max mem: 29859 [05:20:32.116278] Epoch: [126] [849/850] eta: 0:00:00 lr: 0.002323 loss: 0.0275 (0.0299) loss_rec_all: 0.0635 (0.0659) loss_rec_sfr: 0.0749 (0.0957) loss_cl: -0.3674 (-0.3672) time: 0.8618 data: 0.0004 max mem: 29859 [05:20:32.248346] Epoch: [126] Total time: 0:12:15 (0.8658 s / it) [05:20:32.285700] Averaged stats: lr: 0.002323 loss: 0.0275 (0.0301) loss_rec_all: 0.0635 (0.0662) loss_rec_sfr: 0.0749 (0.0955) loss_cl: -0.3674 (-0.3672) [05:20:32.290838] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [05:20:36.627592] Epoch: [127] [ 0/850] eta: 1:01:25 lr: 0.002323 loss: 0.0251 (0.0251) loss_rec_all: 0.0615 (0.0615) loss_rec_sfr: 0.0571 (0.0571) loss_cl: -0.3672 (-0.3672) time: 4.3361 data: 3.4835 max mem: 29859 [05:20:53.799732] Epoch: [127] [ 20/850] eta: 0:14:10 lr: 0.002323 loss: 0.0280 (0.0283) loss_rec_all: 0.0638 (0.0644) loss_rec_sfr: 0.0958 (0.0933) loss_cl: -0.3667 (-0.3668) time: 0.8586 data: 0.0002 max mem: 29859 [05:21:11.027228] Epoch: [127] [ 40/850] eta: 0:12:45 lr: 0.002323 loss: 0.0301 (0.0305) loss_rec_all: 0.0663 (0.0665) loss_rec_sfr: 0.0793 (0.0925) loss_cl: -0.3670 (-0.3668) time: 0.8613 data: 0.0002 max mem: 29859 [05:21:28.229953] Epoch: [127] [ 60/850] eta: 0:12:04 lr: 0.002323 loss: 0.0319 (0.0316) loss_rec_all: 0.0680 (0.0677) loss_rec_sfr: 0.0844 (0.0935) loss_cl: -0.3669 (-0.3668) time: 0.8601 data: 0.0002 max mem: 29859 [05:21:45.460633] Epoch: [127] [ 80/850] eta: 0:11:35 lr: 0.002323 loss: 0.0302 (0.0317) loss_rec_all: 0.0665 (0.0677) loss_rec_sfr: 0.0862 (0.0932) loss_cl: -0.3674 (-0.3669) time: 0.8615 data: 0.0002 max mem: 29859 [05:22:02.676079] Epoch: [127] [100/850] eta: 0:11:11 lr: 0.002323 loss: 0.0296 (0.0315) loss_rec_all: 0.0655 (0.0675) loss_rec_sfr: 0.0909 (0.0937) loss_cl: -0.3677 (-0.3671) time: 0.8607 data: 0.0002 max mem: 29859 [05:22:19.921757] Epoch: [127] [120/850] eta: 0:10:49 lr: 0.002323 loss: 0.0327 (0.0317) loss_rec_all: 0.0685 (0.0678) loss_rec_sfr: 0.1083 (0.0970) loss_cl: -0.3672 (-0.3671) time: 0.8622 data: 0.0002 max mem: 29859 [05:22:37.131343] Epoch: [127] [140/850] eta: 0:10:28 lr: 0.002323 loss: 0.0323 (0.0320) loss_rec_all: 0.0681 (0.0680) loss_rec_sfr: 0.1042 (0.0975) loss_cl: -0.3670 (-0.3671) time: 0.8604 data: 0.0002 max mem: 29859 [05:22:54.400428] Epoch: [127] [160/850] eta: 0:10:09 lr: 0.002323 loss: 0.0307 (0.0319) loss_rec_all: 0.0664 (0.0679) loss_rec_sfr: 0.0960 (0.0975) loss_cl: -0.3671 (-0.3671) time: 0.8634 data: 0.0002 max mem: 29859 [05:23:11.604792] Epoch: [127] [180/850] eta: 0:09:49 lr: 0.002323 loss: 0.0298 (0.0318) loss_rec_all: 0.0656 (0.0678) loss_rec_sfr: 0.0986 (0.0981) loss_cl: -0.3671 (-0.3671) time: 0.8602 data: 0.0002 max mem: 29859 [05:23:28.882176] Epoch: [127] [200/850] eta: 0:09:31 lr: 0.002323 loss: 0.0277 (0.0314) loss_rec_all: 0.0636 (0.0675) loss_rec_sfr: 0.1071 (0.0977) loss_cl: -0.3668 (-0.3670) time: 0.8638 data: 0.0002 max mem: 29859 [05:23:46.085997] Epoch: [127] [220/850] eta: 0:09:12 lr: 0.002323 loss: 0.0276 (0.0312) loss_rec_all: 0.0637 (0.0672) loss_rec_sfr: 0.0783 (0.0972) loss_cl: -0.3677 (-0.3671) time: 0.8601 data: 0.0002 max mem: 29859 [05:24:03.344165] Epoch: [127] [240/850] eta: 0:08:54 lr: 0.002323 loss: 0.0278 (0.0310) loss_rec_all: 0.0635 (0.0670) loss_rec_sfr: 0.0940 (0.0972) loss_cl: -0.3678 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [05:24:20.560633] Epoch: [127] [260/850] eta: 0:08:35 lr: 0.002323 loss: 0.0279 (0.0308) loss_rec_all: 0.0638 (0.0668) loss_rec_sfr: 0.1031 (0.0974) loss_cl: -0.3676 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [05:24:37.811618] Epoch: [127] [280/850] eta: 0:08:18 lr: 0.002323 loss: 0.0263 (0.0306) loss_rec_all: 0.0627 (0.0666) loss_rec_sfr: 0.0717 (0.0967) loss_cl: -0.3673 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [05:24:55.030235] Epoch: [127] [300/850] eta: 0:08:00 lr: 0.002323 loss: 0.0261 (0.0304) loss_rec_all: 0.0623 (0.0664) loss_rec_sfr: 0.0685 (0.0957) loss_cl: -0.3675 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [05:25:12.278631] Epoch: [127] [320/850] eta: 0:07:42 lr: 0.002323 loss: 0.0304 (0.0305) loss_rec_all: 0.0666 (0.0666) loss_rec_sfr: 0.0800 (0.0956) loss_cl: -0.3678 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [05:25:29.494314] Epoch: [127] [340/850] eta: 0:07:24 lr: 0.002323 loss: 0.0309 (0.0306) loss_rec_all: 0.0669 (0.0666) loss_rec_sfr: 0.1048 (0.0961) loss_cl: -0.3679 (-0.3673) time: 0.8607 data: 0.0002 max mem: 29859 [05:25:46.738794] Epoch: [127] [360/850] eta: 0:07:06 lr: 0.002322 loss: 0.0314 (0.0307) loss_rec_all: 0.0676 (0.0667) loss_rec_sfr: 0.0817 (0.0962) loss_cl: -0.3671 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [05:26:03.946304] Epoch: [127] [380/850] eta: 0:06:49 lr: 0.002322 loss: 0.0317 (0.0308) loss_rec_all: 0.0675 (0.0668) loss_rec_sfr: 0.0985 (0.0961) loss_cl: -0.3667 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [05:26:21.186637] Epoch: [127] [400/850] eta: 0:06:31 lr: 0.002322 loss: 0.0309 (0.0308) loss_rec_all: 0.0668 (0.0668) loss_rec_sfr: 0.1078 (0.0967) loss_cl: -0.3671 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [05:26:38.414265] Epoch: [127] [420/850] eta: 0:06:13 lr: 0.002322 loss: 0.0285 (0.0308) loss_rec_all: 0.0646 (0.0668) loss_rec_sfr: 0.0766 (0.0963) loss_cl: -0.3677 (-0.3672) time: 0.8613 data: 0.0002 max mem: 29859 [05:26:55.651323] Epoch: [127] [440/850] eta: 0:05:56 lr: 0.002322 loss: 0.0280 (0.0306) loss_rec_all: 0.0640 (0.0667) loss_rec_sfr: 0.0984 (0.0963) loss_cl: -0.3676 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [05:27:12.855730] Epoch: [127] [460/850] eta: 0:05:38 lr: 0.002322 loss: 0.0276 (0.0305) loss_rec_all: 0.0637 (0.0666) loss_rec_sfr: 0.0772 (0.0961) loss_cl: -0.3673 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [05:27:30.150092] Epoch: [127] [480/850] eta: 0:05:21 lr: 0.002322 loss: 0.0287 (0.0305) loss_rec_all: 0.0646 (0.0665) loss_rec_sfr: 0.0958 (0.0962) loss_cl: -0.3671 (-0.3672) time: 0.8647 data: 0.0002 max mem: 29859 [05:27:47.349730] Epoch: [127] [500/850] eta: 0:05:03 lr: 0.002322 loss: 0.0279 (0.0304) loss_rec_all: 0.0636 (0.0665) loss_rec_sfr: 0.1009 (0.0963) loss_cl: -0.3667 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [05:28:04.604386] Epoch: [127] [520/850] eta: 0:04:46 lr: 0.002322 loss: 0.0261 (0.0303) loss_rec_all: 0.0622 (0.0663) loss_rec_sfr: 0.0718 (0.0958) loss_cl: -0.3660 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [05:28:21.805525] Epoch: [127] [540/850] eta: 0:04:29 lr: 0.002322 loss: 0.0275 (0.0302) loss_rec_all: 0.0636 (0.0662) loss_rec_sfr: 0.0786 (0.0957) loss_cl: -0.3668 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [05:28:39.061692] Epoch: [127] [560/850] eta: 0:04:11 lr: 0.002322 loss: 0.0272 (0.0301) loss_rec_all: 0.0635 (0.0662) loss_rec_sfr: 0.0700 (0.0954) loss_cl: -0.3673 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [05:28:56.270642] Epoch: [127] [580/850] eta: 0:03:54 lr: 0.002322 loss: 0.0289 (0.0301) loss_rec_all: 0.0648 (0.0661) loss_rec_sfr: 0.0756 (0.0954) loss_cl: -0.3675 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [05:29:13.518245] Epoch: [127] [600/850] eta: 0:03:36 lr: 0.002322 loss: 0.0301 (0.0301) loss_rec_all: 0.0660 (0.0662) loss_rec_sfr: 0.1256 (0.0963) loss_cl: -0.3679 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [05:29:30.724629] Epoch: [127] [620/850] eta: 0:03:19 lr: 0.002322 loss: 0.0330 (0.0302) loss_rec_all: 0.0692 (0.0663) loss_rec_sfr: 0.0964 (0.0968) loss_cl: -0.3680 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [05:29:47.978234] Epoch: [127] [640/850] eta: 0:03:02 lr: 0.002322 loss: 0.0313 (0.0303) loss_rec_all: 0.0672 (0.0663) loss_rec_sfr: 0.0876 (0.0968) loss_cl: -0.3680 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [05:30:05.181617] Epoch: [127] [660/850] eta: 0:02:44 lr: 0.002322 loss: 0.0301 (0.0303) loss_rec_all: 0.0664 (0.0663) loss_rec_sfr: 0.0786 (0.0965) loss_cl: -0.3673 (-0.3673) time: 0.8601 data: 0.0002 max mem: 29859 [05:30:22.430616] Epoch: [127] [680/850] eta: 0:02:27 lr: 0.002322 loss: 0.0303 (0.0303) loss_rec_all: 0.0660 (0.0663) loss_rec_sfr: 0.0869 (0.0965) loss_cl: -0.3666 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [05:30:39.640034] Epoch: [127] [700/850] eta: 0:02:09 lr: 0.002322 loss: 0.0298 (0.0303) loss_rec_all: 0.0659 (0.0663) loss_rec_sfr: 0.0981 (0.0964) loss_cl: -0.3674 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [05:30:56.879681] Epoch: [127] [720/850] eta: 0:01:52 lr: 0.002322 loss: 0.0296 (0.0303) loss_rec_all: 0.0659 (0.0663) loss_rec_sfr: 0.0950 (0.0964) loss_cl: -0.3670 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [05:31:14.115661] Epoch: [127] [740/850] eta: 0:01:35 lr: 0.002322 loss: 0.0287 (0.0303) loss_rec_all: 0.0650 (0.0663) loss_rec_sfr: 0.0721 (0.0962) loss_cl: -0.3671 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [05:31:31.348503] Epoch: [127] [760/850] eta: 0:01:17 lr: 0.002322 loss: 0.0311 (0.0303) loss_rec_all: 0.0668 (0.0663) loss_rec_sfr: 0.1052 (0.0966) loss_cl: -0.3669 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [05:31:48.575518] Epoch: [127] [780/850] eta: 0:01:00 lr: 0.002322 loss: 0.0291 (0.0303) loss_rec_all: 0.0650 (0.0663) loss_rec_sfr: 0.0700 (0.0964) loss_cl: -0.3670 (-0.3672) time: 0.8613 data: 0.0002 max mem: 29859 [05:32:05.808052] Epoch: [127] [800/850] eta: 0:00:43 lr: 0.002322 loss: 0.0280 (0.0303) loss_rec_all: 0.0643 (0.0663) loss_rec_sfr: 0.0679 (0.0961) loss_cl: -0.3673 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [05:32:23.015164] Epoch: [127] [820/850] eta: 0:00:25 lr: 0.002322 loss: 0.0266 (0.0302) loss_rec_all: 0.0629 (0.0662) loss_rec_sfr: 0.0662 (0.0957) loss_cl: -0.3677 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [05:32:40.253228] Epoch: [127] [840/850] eta: 0:00:08 lr: 0.002321 loss: 0.0275 (0.0302) loss_rec_all: 0.0636 (0.0662) loss_rec_sfr: 0.0735 (0.0954) loss_cl: -0.3675 (-0.3672) time: 0.8619 data: 0.0006 max mem: 29859 [05:32:47.992771] Epoch: [127] [849/850] eta: 0:00:00 lr: 0.002321 loss: 0.0275 (0.0301) loss_rec_all: 0.0636 (0.0662) loss_rec_sfr: 0.0753 (0.0954) loss_cl: -0.3673 (-0.3672) time: 0.8616 data: 0.0005 max mem: 29859 [05:32:48.163537] Epoch: [127] Total time: 0:12:15 (0.8657 s / it) [05:32:48.165972] Averaged stats: lr: 0.002321 loss: 0.0275 (0.0300) loss_rec_all: 0.0636 (0.0661) loss_rec_sfr: 0.0753 (0.0947) loss_cl: -0.3673 (-0.3672) [05:32:48.178526] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [05:32:52.362014] Epoch: [128] [ 0/850] eta: 0:59:15 lr: 0.002321 loss: 0.0232 (0.0232) loss_rec_all: 0.0596 (0.0596) loss_rec_sfr: 0.0559 (0.0559) loss_cl: -0.3678 (-0.3678) time: 4.1825 data: 3.3282 max mem: 29859 [05:33:09.514767] Epoch: [128] [ 20/850] eta: 0:14:03 lr: 0.002321 loss: 0.0285 (0.0284) loss_rec_all: 0.0646 (0.0644) loss_rec_sfr: 0.0989 (0.0990) loss_cl: -0.3672 (-0.3671) time: 0.8576 data: 0.0002 max mem: 29859 [05:33:26.716629] Epoch: [128] [ 40/850] eta: 0:12:41 lr: 0.002321 loss: 0.0273 (0.0284) loss_rec_all: 0.0635 (0.0645) loss_rec_sfr: 0.0655 (0.0911) loss_cl: -0.3672 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [05:33:43.895283] Epoch: [128] [ 60/850] eta: 0:12:01 lr: 0.002321 loss: 0.0271 (0.0283) loss_rec_all: 0.0634 (0.0643) loss_rec_sfr: 0.0753 (0.0898) loss_cl: -0.3670 (-0.3671) time: 0.8589 data: 0.0002 max mem: 29859 [05:34:01.106272] Epoch: [128] [ 80/850] eta: 0:11:33 lr: 0.002321 loss: 0.0270 (0.0282) loss_rec_all: 0.0632 (0.0643) loss_rec_sfr: 0.0637 (0.0875) loss_cl: -0.3668 (-0.3671) time: 0.8605 data: 0.0002 max mem: 29859 [05:34:18.286215] Epoch: [128] [100/850] eta: 0:11:09 lr: 0.002321 loss: 0.0262 (0.0280) loss_rec_all: 0.0625 (0.0641) loss_rec_sfr: 0.0921 (0.0895) loss_cl: -0.3676 (-0.3672) time: 0.8590 data: 0.0002 max mem: 29859 [05:34:35.493889] Epoch: [128] [120/850] eta: 0:10:47 lr: 0.002321 loss: 0.0300 (0.0284) loss_rec_all: 0.0659 (0.0645) loss_rec_sfr: 0.0997 (0.0918) loss_cl: -0.3681 (-0.3673) time: 0.8603 data: 0.0001 max mem: 29859 [05:34:52.707420] Epoch: [128] [140/850] eta: 0:10:27 lr: 0.002321 loss: 0.0267 (0.0283) loss_rec_all: 0.0631 (0.0644) loss_rec_sfr: 0.0720 (0.0905) loss_cl: -0.3681 (-0.3674) time: 0.8606 data: 0.0002 max mem: 29859 [05:35:09.917690] Epoch: [128] [160/850] eta: 0:10:07 lr: 0.002321 loss: 0.0287 (0.0285) loss_rec_all: 0.0650 (0.0646) loss_rec_sfr: 0.0981 (0.0912) loss_cl: -0.3678 (-0.3674) time: 0.8605 data: 0.0002 max mem: 29859 [05:35:27.111264] Epoch: [128] [180/850] eta: 0:09:48 lr: 0.002321 loss: 0.0286 (0.0286) loss_rec_all: 0.0647 (0.0647) loss_rec_sfr: 0.0861 (0.0920) loss_cl: -0.3668 (-0.3674) time: 0.8596 data: 0.0002 max mem: 29859 [05:35:44.361548] Epoch: [128] [200/850] eta: 0:09:29 lr: 0.002321 loss: 0.0279 (0.0286) loss_rec_all: 0.0641 (0.0647) loss_rec_sfr: 0.0659 (0.0909) loss_cl: -0.3667 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [05:36:01.564492] Epoch: [128] [220/850] eta: 0:09:11 lr: 0.002321 loss: 0.0294 (0.0287) loss_rec_all: 0.0654 (0.0648) loss_rec_sfr: 0.1003 (0.0919) loss_cl: -0.3675 (-0.3673) time: 0.8601 data: 0.0002 max mem: 29859 [05:36:18.801802] Epoch: [128] [240/850] eta: 0:08:53 lr: 0.002321 loss: 0.0289 (0.0288) loss_rec_all: 0.0649 (0.0648) loss_rec_sfr: 0.0754 (0.0919) loss_cl: -0.3670 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [05:36:36.017190] Epoch: [128] [260/850] eta: 0:08:35 lr: 0.002321 loss: 0.0299 (0.0289) loss_rec_all: 0.0657 (0.0650) loss_rec_sfr: 0.1189 (0.0931) loss_cl: -0.3669 (-0.3673) time: 0.8607 data: 0.0002 max mem: 29859 [05:36:53.294646] Epoch: [128] [280/850] eta: 0:08:17 lr: 0.002321 loss: 0.0285 (0.0289) loss_rec_all: 0.0647 (0.0650) loss_rec_sfr: 0.0758 (0.0932) loss_cl: -0.3672 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [05:37:10.534289] Epoch: [128] [300/850] eta: 0:07:59 lr: 0.002321 loss: 0.0292 (0.0290) loss_rec_all: 0.0652 (0.0651) loss_rec_sfr: 0.1108 (0.0940) loss_cl: -0.3672 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [05:37:27.785318] Epoch: [128] [320/850] eta: 0:07:41 lr: 0.002321 loss: 0.0290 (0.0290) loss_rec_all: 0.0652 (0.0651) loss_rec_sfr: 0.0992 (0.0946) loss_cl: -0.3672 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [05:37:44.983406] Epoch: [128] [340/850] eta: 0:07:23 lr: 0.002321 loss: 0.0290 (0.0291) loss_rec_all: 0.0651 (0.0652) loss_rec_sfr: 0.1011 (0.0951) loss_cl: -0.3666 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [05:38:02.236943] Epoch: [128] [360/850] eta: 0:07:06 lr: 0.002321 loss: 0.0282 (0.0292) loss_rec_all: 0.0643 (0.0652) loss_rec_sfr: 0.0944 (0.0948) loss_cl: -0.3668 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [05:38:19.439817] Epoch: [128] [380/850] eta: 0:06:48 lr: 0.002321 loss: 0.0300 (0.0293) loss_rec_all: 0.0661 (0.0653) loss_rec_sfr: 0.0981 (0.0950) loss_cl: -0.3663 (-0.3671) time: 0.8601 data: 0.0002 max mem: 29859 [05:38:36.684153] Epoch: [128] [400/850] eta: 0:06:31 lr: 0.002321 loss: 0.0292 (0.0293) loss_rec_all: 0.0650 (0.0654) loss_rec_sfr: 0.0994 (0.0951) loss_cl: -0.3675 (-0.3671) time: 0.8622 data: 0.0002 max mem: 29859 [05:38:53.889647] Epoch: [128] [420/850] eta: 0:06:13 lr: 0.002321 loss: 0.0295 (0.0294) loss_rec_all: 0.0657 (0.0654) loss_rec_sfr: 0.0814 (0.0953) loss_cl: -0.3678 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [05:39:11.140675] Epoch: [128] [440/850] eta: 0:05:56 lr: 0.002321 loss: 0.0297 (0.0294) loss_rec_all: 0.0660 (0.0655) loss_rec_sfr: 0.0811 (0.0953) loss_cl: -0.3682 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [05:39:28.344716] Epoch: [128] [460/850] eta: 0:05:38 lr: 0.002321 loss: 0.0279 (0.0294) loss_rec_all: 0.0641 (0.0654) loss_rec_sfr: 0.0729 (0.0951) loss_cl: -0.3679 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [05:39:45.584665] Epoch: [128] [480/850] eta: 0:05:21 lr: 0.002320 loss: 0.0302 (0.0294) loss_rec_all: 0.0662 (0.0655) loss_rec_sfr: 0.1019 (0.0954) loss_cl: -0.3681 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [05:40:02.784630] Epoch: [128] [500/850] eta: 0:05:03 lr: 0.002320 loss: 0.0278 (0.0294) loss_rec_all: 0.0639 (0.0655) loss_rec_sfr: 0.0984 (0.0958) loss_cl: -0.3672 (-0.3673) time: 0.8599 data: 0.0002 max mem: 29859 [05:40:20.053698] Epoch: [128] [520/850] eta: 0:04:46 lr: 0.002320 loss: 0.0296 (0.0294) loss_rec_all: 0.0656 (0.0655) loss_rec_sfr: 0.0964 (0.0960) loss_cl: -0.3676 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [05:40:37.251462] Epoch: [128] [540/850] eta: 0:04:28 lr: 0.002320 loss: 0.0311 (0.0295) loss_rec_all: 0.0668 (0.0656) loss_rec_sfr: 0.0997 (0.0963) loss_cl: -0.3678 (-0.3673) time: 0.8598 data: 0.0002 max mem: 29859 [05:40:54.506949] Epoch: [128] [560/850] eta: 0:04:11 lr: 0.002320 loss: 0.0285 (0.0295) loss_rec_all: 0.0644 (0.0656) loss_rec_sfr: 0.0762 (0.0961) loss_cl: -0.3670 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [05:41:11.722884] Epoch: [128] [580/850] eta: 0:03:53 lr: 0.002320 loss: 0.0282 (0.0295) loss_rec_all: 0.0643 (0.0656) loss_rec_sfr: 0.0671 (0.0958) loss_cl: -0.3666 (-0.3673) time: 0.8608 data: 0.0002 max mem: 29859 [05:41:28.959283] Epoch: [128] [600/850] eta: 0:03:36 lr: 0.002320 loss: 0.0280 (0.0295) loss_rec_all: 0.0642 (0.0656) loss_rec_sfr: 0.0744 (0.0955) loss_cl: -0.3664 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [05:41:46.183351] Epoch: [128] [620/850] eta: 0:03:19 lr: 0.002320 loss: 0.0287 (0.0295) loss_rec_all: 0.0647 (0.0656) loss_rec_sfr: 0.0772 (0.0952) loss_cl: -0.3667 (-0.3672) time: 0.8612 data: 0.0002 max mem: 29859 [05:42:03.419379] Epoch: [128] [640/850] eta: 0:03:01 lr: 0.002320 loss: 0.0281 (0.0295) loss_rec_all: 0.0642 (0.0655) loss_rec_sfr: 0.0956 (0.0952) loss_cl: -0.3669 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [05:42:20.638552] Epoch: [128] [660/850] eta: 0:02:44 lr: 0.002320 loss: 0.0296 (0.0295) loss_rec_all: 0.0654 (0.0656) loss_rec_sfr: 0.1057 (0.0957) loss_cl: -0.3673 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [05:42:37.894840] Epoch: [128] [680/850] eta: 0:02:27 lr: 0.002320 loss: 0.0283 (0.0295) loss_rec_all: 0.0644 (0.0656) loss_rec_sfr: 0.0770 (0.0956) loss_cl: -0.3680 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [05:42:55.107844] Epoch: [128] [700/850] eta: 0:02:09 lr: 0.002320 loss: 0.0285 (0.0295) loss_rec_all: 0.0646 (0.0655) loss_rec_sfr: 0.0778 (0.0955) loss_cl: -0.3680 (-0.3673) time: 0.8606 data: 0.0002 max mem: 29859 [05:43:12.358881] Epoch: [128] [720/850] eta: 0:01:52 lr: 0.002320 loss: 0.0286 (0.0295) loss_rec_all: 0.0646 (0.0656) loss_rec_sfr: 0.0827 (0.0954) loss_cl: -0.3679 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [05:43:29.563063] Epoch: [128] [740/850] eta: 0:01:35 lr: 0.002320 loss: 0.0293 (0.0295) loss_rec_all: 0.0651 (0.0656) loss_rec_sfr: 0.1027 (0.0956) loss_cl: -0.3674 (-0.3673) time: 0.8602 data: 0.0002 max mem: 29859 [05:43:46.794528] Epoch: [128] [760/850] eta: 0:01:17 lr: 0.002320 loss: 0.0298 (0.0296) loss_rec_all: 0.0656 (0.0656) loss_rec_sfr: 0.1004 (0.0957) loss_cl: -0.3666 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [05:44:04.042305] Epoch: [128] [780/850] eta: 0:01:00 lr: 0.002320 loss: 0.0293 (0.0296) loss_rec_all: 0.0655 (0.0656) loss_rec_sfr: 0.0780 (0.0957) loss_cl: -0.3670 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [05:44:21.279744] Epoch: [128] [800/850] eta: 0:00:43 lr: 0.002320 loss: 0.0285 (0.0296) loss_rec_all: 0.0642 (0.0657) loss_rec_sfr: 0.0720 (0.0954) loss_cl: -0.3669 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [05:44:38.483825] Epoch: [128] [820/850] eta: 0:00:25 lr: 0.002320 loss: 0.0290 (0.0296) loss_rec_all: 0.0652 (0.0657) loss_rec_sfr: 0.0776 (0.0954) loss_cl: -0.3667 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [05:44:55.727218] Epoch: [128] [840/850] eta: 0:00:08 lr: 0.002320 loss: 0.0277 (0.0296) loss_rec_all: 0.0636 (0.0656) loss_rec_sfr: 0.0730 (0.0951) loss_cl: -0.3669 (-0.3672) time: 0.8621 data: 0.0005 max mem: 29859 [05:45:03.466505] Epoch: [128] [849/850] eta: 0:00:00 lr: 0.002320 loss: 0.0273 (0.0296) loss_rec_all: 0.0636 (0.0656) loss_rec_sfr: 0.0964 (0.0952) loss_cl: -0.3669 (-0.3672) time: 0.8615 data: 0.0004 max mem: 29859 [05:45:03.632250] Epoch: [128] Total time: 0:12:15 (0.8652 s / it) [05:45:03.634653] Averaged stats: lr: 0.002320 loss: 0.0273 (0.0295) loss_rec_all: 0.0636 (0.0656) loss_rec_sfr: 0.0964 (0.0955) loss_cl: -0.3669 (-0.3672) [05:45:03.647363] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [05:45:07.644677] Epoch: [129] [ 0/850] eta: 0:56:37 lr: 0.002320 loss: 0.0332 (0.0332) loss_rec_all: 0.0693 (0.0693) loss_rec_sfr: 0.0974 (0.0974) loss_cl: -0.3678 (-0.3678) time: 3.9965 data: 3.0778 max mem: 29859 [05:45:24.822485] Epoch: [129] [ 20/850] eta: 0:13:56 lr: 0.002320 loss: 0.0273 (0.0288) loss_rec_all: 0.0637 (0.0649) loss_rec_sfr: 0.0740 (0.0909) loss_cl: -0.3673 (-0.3675) time: 0.8589 data: 0.0001 max mem: 29859 [05:45:42.046209] Epoch: [129] [ 40/850] eta: 0:12:38 lr: 0.002320 loss: 0.0268 (0.0281) loss_rec_all: 0.0632 (0.0642) loss_rec_sfr: 0.0672 (0.0899) loss_cl: -0.3676 (-0.3675) time: 0.8612 data: 0.0001 max mem: 29859 [05:45:59.240894] Epoch: [129] [ 60/850] eta: 0:11:59 lr: 0.002320 loss: 0.0280 (0.0283) loss_rec_all: 0.0643 (0.0644) loss_rec_sfr: 0.0811 (0.0909) loss_cl: -0.3678 (-0.3676) time: 0.8597 data: 0.0001 max mem: 29859 [05:46:16.476272] Epoch: [129] [ 80/850] eta: 0:11:32 lr: 0.002320 loss: 0.0304 (0.0290) loss_rec_all: 0.0661 (0.0650) loss_rec_sfr: 0.1200 (0.0965) loss_cl: -0.3678 (-0.3676) time: 0.8617 data: 0.0002 max mem: 29859 [05:46:33.680948] Epoch: [129] [100/850] eta: 0:11:08 lr: 0.002320 loss: 0.0296 (0.0292) loss_rec_all: 0.0659 (0.0653) loss_rec_sfr: 0.0818 (0.0971) loss_cl: -0.3674 (-0.3676) time: 0.8602 data: 0.0001 max mem: 29859 [05:46:50.907785] Epoch: [129] [120/850] eta: 0:10:47 lr: 0.002319 loss: 0.0289 (0.0293) loss_rec_all: 0.0650 (0.0654) loss_rec_sfr: 0.0804 (0.0955) loss_cl: -0.3669 (-0.3675) time: 0.8613 data: 0.0001 max mem: 29859 [05:47:08.116077] Epoch: [129] [140/850] eta: 0:10:26 lr: 0.002319 loss: 0.0277 (0.0292) loss_rec_all: 0.0638 (0.0652) loss_rec_sfr: 0.0756 (0.0952) loss_cl: -0.3668 (-0.3674) time: 0.8604 data: 0.0002 max mem: 29859 [05:47:25.357004] Epoch: [129] [160/850] eta: 0:10:07 lr: 0.002319 loss: 0.0276 (0.0291) loss_rec_all: 0.0638 (0.0652) loss_rec_sfr: 0.0743 (0.0946) loss_cl: -0.3671 (-0.3673) time: 0.8620 data: 0.0001 max mem: 29859 [05:47:42.552069] Epoch: [129] [180/850] eta: 0:09:48 lr: 0.002319 loss: 0.0278 (0.0290) loss_rec_all: 0.0641 (0.0651) loss_rec_sfr: 0.0754 (0.0939) loss_cl: -0.3674 (-0.3673) time: 0.8597 data: 0.0001 max mem: 29859 [05:47:59.812176] Epoch: [129] [200/850] eta: 0:09:29 lr: 0.002319 loss: 0.0275 (0.0290) loss_rec_all: 0.0634 (0.0651) loss_rec_sfr: 0.1121 (0.0952) loss_cl: -0.3679 (-0.3674) time: 0.8630 data: 0.0001 max mem: 29859 [05:48:16.999793] Epoch: [129] [220/850] eta: 0:09:11 lr: 0.002319 loss: 0.0297 (0.0291) loss_rec_all: 0.0654 (0.0651) loss_rec_sfr: 0.0976 (0.0965) loss_cl: -0.3675 (-0.3674) time: 0.8593 data: 0.0001 max mem: 29859 [05:48:34.249037] Epoch: [129] [240/850] eta: 0:08:53 lr: 0.002319 loss: 0.0272 (0.0290) loss_rec_all: 0.0630 (0.0651) loss_rec_sfr: 0.1014 (0.0968) loss_cl: -0.3671 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [05:48:51.439753] Epoch: [129] [260/850] eta: 0:08:34 lr: 0.002319 loss: 0.0282 (0.0290) loss_rec_all: 0.0643 (0.0651) loss_rec_sfr: 0.0727 (0.0960) loss_cl: -0.3672 (-0.3673) time: 0.8595 data: 0.0002 max mem: 29859 [05:49:08.684535] Epoch: [129] [280/850] eta: 0:08:17 lr: 0.002319 loss: 0.0284 (0.0290) loss_rec_all: 0.0643 (0.0651) loss_rec_sfr: 0.0712 (0.0953) loss_cl: -0.3670 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [05:49:25.888302] Epoch: [129] [300/850] eta: 0:07:59 lr: 0.002319 loss: 0.0276 (0.0290) loss_rec_all: 0.0636 (0.0650) loss_rec_sfr: 0.0768 (0.0949) loss_cl: -0.3669 (-0.3673) time: 0.8601 data: 0.0002 max mem: 29859 [05:49:43.120155] Epoch: [129] [320/850] eta: 0:07:41 lr: 0.002319 loss: 0.0267 (0.0289) loss_rec_all: 0.0630 (0.0650) loss_rec_sfr: 0.0757 (0.0946) loss_cl: -0.3671 (-0.3673) time: 0.8616 data: 0.0001 max mem: 29859 [05:50:00.324091] Epoch: [129] [340/850] eta: 0:07:23 lr: 0.002319 loss: 0.0276 (0.0289) loss_rec_all: 0.0635 (0.0650) loss_rec_sfr: 0.1011 (0.0948) loss_cl: -0.3670 (-0.3673) time: 0.8602 data: 0.0002 max mem: 29859 [05:50:17.562561] Epoch: [129] [360/850] eta: 0:07:06 lr: 0.002319 loss: 0.0274 (0.0288) loss_rec_all: 0.0636 (0.0649) loss_rec_sfr: 0.0781 (0.0945) loss_cl: -0.3673 (-0.3673) time: 0.8619 data: 0.0001 max mem: 29859 [05:50:34.773414] Epoch: [129] [380/850] eta: 0:06:48 lr: 0.002319 loss: 0.0264 (0.0287) loss_rec_all: 0.0624 (0.0648) loss_rec_sfr: 0.0701 (0.0942) loss_cl: -0.3675 (-0.3673) time: 0.8605 data: 0.0002 max mem: 29859 [05:50:52.008819] Epoch: [129] [400/850] eta: 0:06:30 lr: 0.002319 loss: 0.0280 (0.0287) loss_rec_all: 0.0640 (0.0648) loss_rec_sfr: 0.0971 (0.0943) loss_cl: -0.3670 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [05:51:09.214159] Epoch: [129] [420/850] eta: 0:06:13 lr: 0.002319 loss: 0.0280 (0.0287) loss_rec_all: 0.0640 (0.0648) loss_rec_sfr: 0.1001 (0.0944) loss_cl: -0.3670 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [05:51:26.460588] Epoch: [129] [440/850] eta: 0:05:55 lr: 0.002319 loss: 0.0289 (0.0287) loss_rec_all: 0.0650 (0.0648) loss_rec_sfr: 0.0942 (0.0947) loss_cl: -0.3677 (-0.3673) time: 0.8623 data: 0.0001 max mem: 29859 [05:51:43.662260] Epoch: [129] [460/850] eta: 0:05:38 lr: 0.002319 loss: 0.0304 (0.0288) loss_rec_all: 0.0663 (0.0649) loss_rec_sfr: 0.0995 (0.0951) loss_cl: -0.3676 (-0.3673) time: 0.8600 data: 0.0001 max mem: 29859 [05:52:00.896487] Epoch: [129] [480/850] eta: 0:05:20 lr: 0.002319 loss: 0.0285 (0.0289) loss_rec_all: 0.0648 (0.0649) loss_rec_sfr: 0.0766 (0.0950) loss_cl: -0.3676 (-0.3673) time: 0.8617 data: 0.0001 max mem: 29859 [05:52:18.145186] Epoch: [129] [500/850] eta: 0:05:03 lr: 0.002319 loss: 0.0316 (0.0290) loss_rec_all: 0.0678 (0.0651) loss_rec_sfr: 0.0814 (0.0951) loss_cl: -0.3672 (-0.3673) time: 0.8624 data: 0.0001 max mem: 29859 [05:52:35.392131] Epoch: [129] [520/850] eta: 0:04:46 lr: 0.002319 loss: 0.0336 (0.0293) loss_rec_all: 0.0695 (0.0653) loss_rec_sfr: 0.0973 (0.0954) loss_cl: -0.3668 (-0.3673) time: 0.8623 data: 0.0001 max mem: 29859 [05:52:52.570732] Epoch: [129] [540/850] eta: 0:04:28 lr: 0.002319 loss: 0.0341 (0.0295) loss_rec_all: 0.0702 (0.0655) loss_rec_sfr: 0.1217 (0.0961) loss_cl: -0.3665 (-0.3672) time: 0.8589 data: 0.0001 max mem: 29859 [05:53:09.798364] Epoch: [129] [560/850] eta: 0:04:11 lr: 0.002319 loss: 0.0335 (0.0297) loss_rec_all: 0.0696 (0.0657) loss_rec_sfr: 0.1047 (0.0963) loss_cl: -0.3676 (-0.3672) time: 0.8613 data: 0.0002 max mem: 29859 [05:53:26.976232] Epoch: [129] [580/850] eta: 0:03:53 lr: 0.002318 loss: 0.0305 (0.0298) loss_rec_all: 0.0669 (0.0658) loss_rec_sfr: 0.0810 (0.0965) loss_cl: -0.3681 (-0.3673) time: 0.8589 data: 0.0001 max mem: 29859 [05:53:44.198760] Epoch: [129] [600/850] eta: 0:03:36 lr: 0.002318 loss: 0.0303 (0.0298) loss_rec_all: 0.0667 (0.0659) loss_rec_sfr: 0.0733 (0.0962) loss_cl: -0.3678 (-0.3673) time: 0.8611 data: 0.0001 max mem: 29859 [05:54:01.391808] Epoch: [129] [620/850] eta: 0:03:19 lr: 0.002318 loss: 0.0289 (0.0298) loss_rec_all: 0.0652 (0.0659) loss_rec_sfr: 0.0725 (0.0959) loss_cl: -0.3672 (-0.3673) time: 0.8596 data: 0.0001 max mem: 29859 [05:54:18.611778] Epoch: [129] [640/850] eta: 0:03:01 lr: 0.002318 loss: 0.0290 (0.0299) loss_rec_all: 0.0652 (0.0659) loss_rec_sfr: 0.1004 (0.0960) loss_cl: -0.3666 (-0.3672) time: 0.8610 data: 0.0001 max mem: 29859 [05:54:35.793588] Epoch: [129] [660/850] eta: 0:02:44 lr: 0.002318 loss: 0.0297 (0.0299) loss_rec_all: 0.0655 (0.0659) loss_rec_sfr: 0.0907 (0.0958) loss_cl: -0.3663 (-0.3672) time: 0.8591 data: 0.0001 max mem: 29859 [05:54:53.034038] Epoch: [129] [680/850] eta: 0:02:27 lr: 0.002318 loss: 0.0297 (0.0299) loss_rec_all: 0.0656 (0.0659) loss_rec_sfr: 0.1044 (0.0960) loss_cl: -0.3668 (-0.3672) time: 0.8620 data: 0.0001 max mem: 29859 [05:55:10.212857] Epoch: [129] [700/850] eta: 0:02:09 lr: 0.002318 loss: 0.0279 (0.0299) loss_rec_all: 0.0641 (0.0659) loss_rec_sfr: 0.0752 (0.0960) loss_cl: -0.3675 (-0.3672) time: 0.8589 data: 0.0001 max mem: 29859 [05:55:27.438708] Epoch: [129] [720/850] eta: 0:01:52 lr: 0.002318 loss: 0.0272 (0.0298) loss_rec_all: 0.0636 (0.0659) loss_rec_sfr: 0.0737 (0.0957) loss_cl: -0.3680 (-0.3672) time: 0.8613 data: 0.0002 max mem: 29859 [05:55:44.625289] Epoch: [129] [740/850] eta: 0:01:35 lr: 0.002318 loss: 0.0262 (0.0297) loss_rec_all: 0.0625 (0.0658) loss_rec_sfr: 0.0689 (0.0953) loss_cl: -0.3678 (-0.3672) time: 0.8593 data: 0.0002 max mem: 29859 [05:56:01.854251] Epoch: [129] [760/850] eta: 0:01:17 lr: 0.002318 loss: 0.0279 (0.0297) loss_rec_all: 0.0640 (0.0658) loss_rec_sfr: 0.0789 (0.0951) loss_cl: -0.3678 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [05:56:19.071885] Epoch: [129] [780/850] eta: 0:01:00 lr: 0.002318 loss: 0.0283 (0.0297) loss_rec_all: 0.0646 (0.0658) loss_rec_sfr: 0.0751 (0.0950) loss_cl: -0.3678 (-0.3673) time: 0.8608 data: 0.0002 max mem: 29859 [05:56:36.307170] Epoch: [129] [800/850] eta: 0:00:43 lr: 0.002318 loss: 0.0268 (0.0296) loss_rec_all: 0.0627 (0.0657) loss_rec_sfr: 0.0723 (0.0948) loss_cl: -0.3673 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [05:56:53.563974] Epoch: [129] [820/850] eta: 0:00:25 lr: 0.002318 loss: 0.0269 (0.0296) loss_rec_all: 0.0631 (0.0657) loss_rec_sfr: 0.0730 (0.0945) loss_cl: -0.3668 (-0.3673) time: 0.8628 data: 0.0003 max mem: 29859 [05:57:10.796354] Epoch: [129] [840/850] eta: 0:00:08 lr: 0.002318 loss: 0.0286 (0.0296) loss_rec_all: 0.0650 (0.0657) loss_rec_sfr: 0.0811 (0.0944) loss_cl: -0.3670 (-0.3673) time: 0.8616 data: 0.0004 max mem: 29859 [05:57:18.529420] Epoch: [129] [849/850] eta: 0:00:00 lr: 0.002318 loss: 0.0281 (0.0296) loss_rec_all: 0.0644 (0.0657) loss_rec_sfr: 0.0691 (0.0944) loss_cl: -0.3672 (-0.3673) time: 0.8610 data: 0.0004 max mem: 29859 [05:57:18.653715] Epoch: [129] Total time: 0:12:15 (0.8647 s / it) [05:57:18.666300] Averaged stats: lr: 0.002318 loss: 0.0281 (0.0298) loss_rec_all: 0.0644 (0.0658) loss_rec_sfr: 0.0691 (0.0952) loss_cl: -0.3672 (-0.3672) [05:57:18.671396] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [05:57:23.082720] Epoch: [130] [ 0/850] eta: 1:02:28 lr: 0.002318 loss: 0.0264 (0.0264) loss_rec_all: 0.0627 (0.0627) loss_rec_sfr: 0.0653 (0.0653) loss_cl: -0.3675 (-0.3675) time: 4.4106 data: 3.5593 max mem: 29859 [05:57:40.249075] Epoch: [130] [ 20/850] eta: 0:14:12 lr: 0.002318 loss: 0.0272 (0.0284) loss_rec_all: 0.0633 (0.0645) loss_rec_sfr: 0.0759 (0.0899) loss_cl: -0.3669 (-0.3670) time: 0.8583 data: 0.0002 max mem: 29859 [05:57:57.474727] Epoch: [130] [ 40/850] eta: 0:12:46 lr: 0.002318 loss: 0.0265 (0.0276) loss_rec_all: 0.0624 (0.0637) loss_rec_sfr: 0.0716 (0.0880) loss_cl: -0.3673 (-0.3671) time: 0.8612 data: 0.0002 max mem: 29859 [05:58:14.678437] Epoch: [130] [ 60/850] eta: 0:12:05 lr: 0.002318 loss: 0.0274 (0.0280) loss_rec_all: 0.0635 (0.0641) loss_rec_sfr: 0.0982 (0.0904) loss_cl: -0.3670 (-0.3670) time: 0.8601 data: 0.0002 max mem: 29859 [05:58:31.892845] Epoch: [130] [ 80/850] eta: 0:11:36 lr: 0.002318 loss: 0.0297 (0.0283) loss_rec_all: 0.0656 (0.0644) loss_rec_sfr: 0.0969 (0.0936) loss_cl: -0.3674 (-0.3671) time: 0.8607 data: 0.0002 max mem: 29859 [05:58:49.095821] Epoch: [130] [100/850] eta: 0:11:11 lr: 0.002318 loss: 0.0272 (0.0283) loss_rec_all: 0.0635 (0.0644) loss_rec_sfr: 0.0737 (0.0929) loss_cl: -0.3677 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [05:59:06.354920] Epoch: [130] [120/850] eta: 0:10:49 lr: 0.002318 loss: 0.0269 (0.0283) loss_rec_all: 0.0628 (0.0644) loss_rec_sfr: 0.0955 (0.0931) loss_cl: -0.3678 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [05:59:23.577871] Epoch: [130] [140/850] eta: 0:10:28 lr: 0.002318 loss: 0.0269 (0.0283) loss_rec_all: 0.0629 (0.0644) loss_rec_sfr: 0.0952 (0.0941) loss_cl: -0.3670 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [05:59:40.884469] Epoch: [130] [160/850] eta: 0:10:09 lr: 0.002318 loss: 0.0270 (0.0284) loss_rec_all: 0.0633 (0.0645) loss_rec_sfr: 0.0754 (0.0928) loss_cl: -0.3674 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [05:59:58.094298] Epoch: [130] [180/850] eta: 0:09:50 lr: 0.002318 loss: 0.0298 (0.0287) loss_rec_all: 0.0659 (0.0648) loss_rec_sfr: 0.1044 (0.0934) loss_cl: -0.3665 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [06:00:15.321021] Epoch: [130] [200/850] eta: 0:09:31 lr: 0.002317 loss: 0.0284 (0.0289) loss_rec_all: 0.0646 (0.0650) loss_rec_sfr: 0.1029 (0.0940) loss_cl: -0.3668 (-0.3672) time: 0.8613 data: 0.0002 max mem: 29859 [06:00:32.587461] Epoch: [130] [220/850] eta: 0:09:12 lr: 0.002317 loss: 0.0289 (0.0290) loss_rec_all: 0.0647 (0.0650) loss_rec_sfr: 0.0982 (0.0946) loss_cl: -0.3668 (-0.3671) time: 0.8633 data: 0.0003 max mem: 29859 [06:00:49.806965] Epoch: [130] [240/850] eta: 0:08:54 lr: 0.002317 loss: 0.0286 (0.0290) loss_rec_all: 0.0643 (0.0651) loss_rec_sfr: 0.1082 (0.0952) loss_cl: -0.3666 (-0.3671) time: 0.8609 data: 0.0002 max mem: 29859 [06:01:07.036868] Epoch: [130] [260/850] eta: 0:08:36 lr: 0.002317 loss: 0.0298 (0.0291) loss_rec_all: 0.0655 (0.0651) loss_rec_sfr: 0.0971 (0.0955) loss_cl: -0.3671 (-0.3671) time: 0.8614 data: 0.0002 max mem: 29859 [06:01:24.299279] Epoch: [130] [280/850] eta: 0:08:18 lr: 0.002317 loss: 0.0291 (0.0291) loss_rec_all: 0.0651 (0.0652) loss_rec_sfr: 0.0998 (0.0956) loss_cl: -0.3683 (-0.3672) time: 0.8630 data: 0.0003 max mem: 29859 [06:01:41.516880] Epoch: [130] [300/850] eta: 0:08:00 lr: 0.002317 loss: 0.0298 (0.0292) loss_rec_all: 0.0656 (0.0653) loss_rec_sfr: 0.1048 (0.0961) loss_cl: -0.3684 (-0.3673) time: 0.8608 data: 0.0002 max mem: 29859 [06:01:58.811542] Epoch: [130] [320/850] eta: 0:07:42 lr: 0.002317 loss: 0.0291 (0.0293) loss_rec_all: 0.0653 (0.0654) loss_rec_sfr: 0.0817 (0.0960) loss_cl: -0.3679 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [06:02:16.035885] Epoch: [130] [340/850] eta: 0:07:24 lr: 0.002317 loss: 0.0323 (0.0295) loss_rec_all: 0.0684 (0.0656) loss_rec_sfr: 0.0768 (0.0964) loss_cl: -0.3672 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [06:02:33.300134] Epoch: [130] [360/850] eta: 0:07:07 lr: 0.002317 loss: 0.0338 (0.0299) loss_rec_all: 0.0697 (0.0660) loss_rec_sfr: 0.1143 (0.0970) loss_cl: -0.3667 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [06:02:50.563625] Epoch: [130] [380/850] eta: 0:06:49 lr: 0.002317 loss: 0.0313 (0.0301) loss_rec_all: 0.0672 (0.0662) loss_rec_sfr: 0.1016 (0.0971) loss_cl: -0.3663 (-0.3672) time: 0.8631 data: 0.0003 max mem: 29859 [06:03:07.805403] Epoch: [130] [400/850] eta: 0:06:31 lr: 0.002317 loss: 0.0324 (0.0303) loss_rec_all: 0.0681 (0.0663) loss_rec_sfr: 0.1079 (0.0979) loss_cl: -0.3672 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [06:03:25.016384] Epoch: [130] [420/850] eta: 0:06:14 lr: 0.002317 loss: 0.0290 (0.0303) loss_rec_all: 0.0654 (0.0663) loss_rec_sfr: 0.0689 (0.0974) loss_cl: -0.3675 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [06:03:42.309275] Epoch: [130] [440/850] eta: 0:05:56 lr: 0.002317 loss: 0.0290 (0.0303) loss_rec_all: 0.0650 (0.0663) loss_rec_sfr: 0.0858 (0.0973) loss_cl: -0.3671 (-0.3672) time: 0.8646 data: 0.0002 max mem: 29859 [06:03:59.512910] Epoch: [130] [460/850] eta: 0:05:39 lr: 0.002317 loss: 0.0295 (0.0303) loss_rec_all: 0.0653 (0.0663) loss_rec_sfr: 0.0993 (0.0973) loss_cl: -0.3674 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [06:04:16.769181] Epoch: [130] [480/850] eta: 0:05:21 lr: 0.002317 loss: 0.0306 (0.0303) loss_rec_all: 0.0665 (0.0664) loss_rec_sfr: 0.1024 (0.0976) loss_cl: -0.3673 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [06:04:33.979636] Epoch: [130] [500/850] eta: 0:05:04 lr: 0.002317 loss: 0.0276 (0.0303) loss_rec_all: 0.0639 (0.0663) loss_rec_sfr: 0.0775 (0.0973) loss_cl: -0.3678 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [06:04:51.212556] Epoch: [130] [520/850] eta: 0:04:46 lr: 0.002317 loss: 0.0270 (0.0301) loss_rec_all: 0.0632 (0.0662) loss_rec_sfr: 0.0700 (0.0966) loss_cl: -0.3675 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [06:05:08.456539] Epoch: [130] [540/850] eta: 0:04:29 lr: 0.002317 loss: 0.0285 (0.0301) loss_rec_all: 0.0647 (0.0662) loss_rec_sfr: 0.0999 (0.0967) loss_cl: -0.3670 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [06:05:25.691534] Epoch: [130] [560/850] eta: 0:04:11 lr: 0.002317 loss: 0.0291 (0.0301) loss_rec_all: 0.0649 (0.0661) loss_rec_sfr: 0.0971 (0.0967) loss_cl: -0.3670 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [06:05:42.874014] Epoch: [130] [580/850] eta: 0:03:54 lr: 0.002317 loss: 0.0265 (0.0300) loss_rec_all: 0.0627 (0.0660) loss_rec_sfr: 0.0724 (0.0963) loss_cl: -0.3668 (-0.3672) time: 0.8591 data: 0.0002 max mem: 29859 [06:06:00.107412] Epoch: [130] [600/850] eta: 0:03:36 lr: 0.002317 loss: 0.0266 (0.0299) loss_rec_all: 0.0627 (0.0660) loss_rec_sfr: 0.0726 (0.0959) loss_cl: -0.3671 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [06:06:17.273729] Epoch: [130] [620/850] eta: 0:03:19 lr: 0.002317 loss: 0.0268 (0.0298) loss_rec_all: 0.0626 (0.0659) loss_rec_sfr: 0.0980 (0.0959) loss_cl: -0.3671 (-0.3672) time: 0.8583 data: 0.0002 max mem: 29859 [06:06:34.568236] Epoch: [130] [640/850] eta: 0:03:02 lr: 0.002317 loss: 0.0276 (0.0298) loss_rec_all: 0.0638 (0.0658) loss_rec_sfr: 0.0762 (0.0955) loss_cl: -0.3670 (-0.3672) time: 0.8647 data: 0.0002 max mem: 29859 [06:06:51.764295] Epoch: [130] [660/850] eta: 0:02:44 lr: 0.002317 loss: 0.0286 (0.0298) loss_rec_all: 0.0644 (0.0658) loss_rec_sfr: 0.0972 (0.0956) loss_cl: -0.3673 (-0.3672) time: 0.8598 data: 0.0002 max mem: 29859 [06:07:09.035599] Epoch: [130] [680/850] eta: 0:02:27 lr: 0.002316 loss: 0.0289 (0.0298) loss_rec_all: 0.0651 (0.0658) loss_rec_sfr: 0.0802 (0.0955) loss_cl: -0.3673 (-0.3672) time: 0.8635 data: 0.0002 max mem: 29859 [06:07:26.253280] Epoch: [130] [700/850] eta: 0:02:10 lr: 0.002316 loss: 0.0286 (0.0297) loss_rec_all: 0.0648 (0.0658) loss_rec_sfr: 0.0955 (0.0956) loss_cl: -0.3675 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [06:07:43.493175] Epoch: [130] [720/850] eta: 0:01:52 lr: 0.002316 loss: 0.0295 (0.0297) loss_rec_all: 0.0656 (0.0658) loss_rec_sfr: 0.0917 (0.0959) loss_cl: -0.3677 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [06:08:00.793701] Epoch: [130] [740/850] eta: 0:01:35 lr: 0.002316 loss: 0.0273 (0.0297) loss_rec_all: 0.0635 (0.0658) loss_rec_sfr: 0.0810 (0.0958) loss_cl: -0.3675 (-0.3672) time: 0.8649 data: 0.0003 max mem: 29859 [06:08:18.029416] Epoch: [130] [760/850] eta: 0:01:17 lr: 0.002316 loss: 0.0271 (0.0297) loss_rec_all: 0.0633 (0.0657) loss_rec_sfr: 0.0675 (0.0954) loss_cl: -0.3672 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [06:08:35.229296] Epoch: [130] [780/850] eta: 0:01:00 lr: 0.002316 loss: 0.0265 (0.0296) loss_rec_all: 0.0628 (0.0657) loss_rec_sfr: 0.0633 (0.0953) loss_cl: -0.3669 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [06:08:52.558313] Epoch: [130] [800/850] eta: 0:00:43 lr: 0.002316 loss: 0.0283 (0.0296) loss_rec_all: 0.0643 (0.0657) loss_rec_sfr: 0.0995 (0.0953) loss_cl: -0.3669 (-0.3672) time: 0.8664 data: 0.0002 max mem: 29859 [06:09:09.757998] Epoch: [130] [820/850] eta: 0:00:25 lr: 0.002316 loss: 0.0312 (0.0297) loss_rec_all: 0.0672 (0.0657) loss_rec_sfr: 0.1004 (0.0954) loss_cl: -0.3672 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [06:09:27.024158] Epoch: [130] [840/850] eta: 0:00:08 lr: 0.002316 loss: 0.0326 (0.0298) loss_rec_all: 0.0685 (0.0658) loss_rec_sfr: 0.1016 (0.0955) loss_cl: -0.3672 (-0.3672) time: 0.8633 data: 0.0005 max mem: 29859 [06:09:34.781065] Epoch: [130] [849/850] eta: 0:00:00 lr: 0.002316 loss: 0.0347 (0.0299) loss_rec_all: 0.0708 (0.0659) loss_rec_sfr: 0.1121 (0.0957) loss_cl: -0.3672 (-0.3672) time: 0.8639 data: 0.0005 max mem: 29859 [06:09:34.942571] Epoch: [130] Total time: 0:12:16 (0.8662 s / it) [06:09:34.945123] Averaged stats: lr: 0.002316 loss: 0.0347 (0.0298) loss_rec_all: 0.0708 (0.0659) loss_rec_sfr: 0.1121 (0.0956) loss_cl: -0.3672 (-0.3672) [06:09:34.959181] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [06:09:39.004579] Epoch: [131] [ 0/850] eta: 0:57:17 lr: 0.002316 loss: 0.0301 (0.0301) loss_rec_all: 0.0664 (0.0664) loss_rec_sfr: 0.0817 (0.0817) loss_cl: -0.3684 (-0.3684) time: 4.0445 data: 3.1898 max mem: 29859 [06:09:56.177445] Epoch: [131] [ 20/850] eta: 0:13:58 lr: 0.002316 loss: 0.0352 (0.0368) loss_rec_all: 0.0710 (0.0728) loss_rec_sfr: 0.0919 (0.1022) loss_cl: -0.3677 (-0.3675) time: 0.8586 data: 0.0002 max mem: 29859 [06:10:13.429826] Epoch: [131] [ 40/850] eta: 0:12:39 lr: 0.002316 loss: 0.0345 (0.0363) loss_rec_all: 0.0706 (0.0723) loss_rec_sfr: 0.0801 (0.1017) loss_cl: -0.3670 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [06:10:30.647562] Epoch: [131] [ 60/850] eta: 0:12:01 lr: 0.002316 loss: 0.0353 (0.0370) loss_rec_all: 0.0712 (0.0730) loss_rec_sfr: 0.1128 (0.1032) loss_cl: -0.3668 (-0.3671) time: 0.8608 data: 0.0002 max mem: 29859 [06:10:47.895992] Epoch: [131] [ 80/850] eta: 0:11:33 lr: 0.002316 loss: 0.0301 (0.0355) loss_rec_all: 0.0663 (0.0715) loss_rec_sfr: 0.0750 (0.0986) loss_cl: -0.3669 (-0.3670) time: 0.8624 data: 0.0001 max mem: 29859 [06:11:05.130786] Epoch: [131] [100/850] eta: 0:11:09 lr: 0.002316 loss: 0.0313 (0.0347) loss_rec_all: 0.0674 (0.0707) loss_rec_sfr: 0.0890 (0.0986) loss_cl: -0.3669 (-0.3670) time: 0.8617 data: 0.0003 max mem: 29859 [06:11:22.377122] Epoch: [131] [120/850] eta: 0:10:48 lr: 0.002316 loss: 0.0309 (0.0344) loss_rec_all: 0.0671 (0.0704) loss_rec_sfr: 0.1150 (0.1004) loss_cl: -0.3675 (-0.3671) time: 0.8623 data: 0.0002 max mem: 29859 [06:11:39.580799] Epoch: [131] [140/850] eta: 0:10:27 lr: 0.002316 loss: 0.0287 (0.0337) loss_rec_all: 0.0646 (0.0698) loss_rec_sfr: 0.0756 (0.0995) loss_cl: -0.3677 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [06:11:56.809850] Epoch: [131] [160/850] eta: 0:10:07 lr: 0.002316 loss: 0.0286 (0.0332) loss_rec_all: 0.0649 (0.0692) loss_rec_sfr: 0.0798 (0.0985) loss_cl: -0.3678 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [06:12:14.012348] Epoch: [131] [180/850] eta: 0:09:48 lr: 0.002316 loss: 0.0283 (0.0327) loss_rec_all: 0.0642 (0.0687) loss_rec_sfr: 0.0951 (0.0985) loss_cl: -0.3675 (-0.3673) time: 0.8601 data: 0.0002 max mem: 29859 [06:12:31.273741] Epoch: [131] [200/850] eta: 0:09:30 lr: 0.002316 loss: 0.0279 (0.0323) loss_rec_all: 0.0641 (0.0683) loss_rec_sfr: 0.0752 (0.0975) loss_cl: -0.3669 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [06:12:48.484429] Epoch: [131] [220/850] eta: 0:09:11 lr: 0.002316 loss: 0.0269 (0.0318) loss_rec_all: 0.0628 (0.0679) loss_rec_sfr: 0.0802 (0.0967) loss_cl: -0.3669 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [06:13:05.754750] Epoch: [131] [240/850] eta: 0:08:53 lr: 0.002316 loss: 0.0262 (0.0314) loss_rec_all: 0.0623 (0.0675) loss_rec_sfr: 0.0752 (0.0961) loss_cl: -0.3671 (-0.3672) time: 0.8635 data: 0.0002 max mem: 29859 [06:13:22.956994] Epoch: [131] [260/850] eta: 0:08:35 lr: 0.002316 loss: 0.0280 (0.0312) loss_rec_all: 0.0638 (0.0673) loss_rec_sfr: 0.0959 (0.0962) loss_cl: -0.3678 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [06:13:40.219332] Epoch: [131] [280/850] eta: 0:08:17 lr: 0.002315 loss: 0.0255 (0.0309) loss_rec_all: 0.0619 (0.0670) loss_rec_sfr: 0.0702 (0.0954) loss_cl: -0.3680 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [06:13:57.448192] Epoch: [131] [300/850] eta: 0:07:59 lr: 0.002315 loss: 0.0264 (0.0306) loss_rec_all: 0.0627 (0.0667) loss_rec_sfr: 0.0727 (0.0949) loss_cl: -0.3679 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [06:14:14.697915] Epoch: [131] [320/850] eta: 0:07:41 lr: 0.002315 loss: 0.0281 (0.0305) loss_rec_all: 0.0642 (0.0666) loss_rec_sfr: 0.0721 (0.0945) loss_cl: -0.3675 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [06:14:31.940781] Epoch: [131] [340/850] eta: 0:07:24 lr: 0.002315 loss: 0.0293 (0.0305) loss_rec_all: 0.0651 (0.0666) loss_rec_sfr: 0.0996 (0.0945) loss_cl: -0.3672 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [06:14:49.171973] Epoch: [131] [360/850] eta: 0:07:06 lr: 0.002315 loss: 0.0292 (0.0305) loss_rec_all: 0.0652 (0.0665) loss_rec_sfr: 0.0967 (0.0951) loss_cl: -0.3675 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [06:15:06.399167] Epoch: [131] [380/850] eta: 0:06:48 lr: 0.002315 loss: 0.0273 (0.0303) loss_rec_all: 0.0634 (0.0664) loss_rec_sfr: 0.0758 (0.0948) loss_cl: -0.3671 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [06:15:23.664968] Epoch: [131] [400/850] eta: 0:06:31 lr: 0.002315 loss: 0.0277 (0.0303) loss_rec_all: 0.0639 (0.0664) loss_rec_sfr: 0.1012 (0.0949) loss_cl: -0.3670 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [06:15:40.864046] Epoch: [131] [420/850] eta: 0:06:13 lr: 0.002315 loss: 0.0293 (0.0303) loss_rec_all: 0.0654 (0.0664) loss_rec_sfr: 0.0789 (0.0949) loss_cl: -0.3664 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [06:15:58.167506] Epoch: [131] [440/850] eta: 0:05:56 lr: 0.002315 loss: 0.0296 (0.0303) loss_rec_all: 0.0655 (0.0664) loss_rec_sfr: 0.1075 (0.0953) loss_cl: -0.3669 (-0.3672) time: 0.8651 data: 0.0002 max mem: 29859 [06:16:15.354329] Epoch: [131] [460/850] eta: 0:05:38 lr: 0.002315 loss: 0.0297 (0.0303) loss_rec_all: 0.0655 (0.0664) loss_rec_sfr: 0.1069 (0.0959) loss_cl: -0.3671 (-0.3672) time: 0.8593 data: 0.0002 max mem: 29859 [06:16:32.657088] Epoch: [131] [480/850] eta: 0:05:21 lr: 0.002315 loss: 0.0290 (0.0303) loss_rec_all: 0.0653 (0.0663) loss_rec_sfr: 0.0734 (0.0955) loss_cl: -0.3678 (-0.3672) time: 0.8651 data: 0.0002 max mem: 29859 [06:16:49.978224] Epoch: [131] [500/850] eta: 0:05:03 lr: 0.002315 loss: 0.0277 (0.0302) loss_rec_all: 0.0640 (0.0663) loss_rec_sfr: 0.0990 (0.0957) loss_cl: -0.3680 (-0.3673) time: 0.8660 data: 0.0003 max mem: 29859 [06:17:07.210373] Epoch: [131] [520/850] eta: 0:04:46 lr: 0.002315 loss: 0.0273 (0.0302) loss_rec_all: 0.0635 (0.0662) loss_rec_sfr: 0.0689 (0.0952) loss_cl: -0.3683 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [06:17:24.467417] Epoch: [131] [540/850] eta: 0:04:29 lr: 0.002315 loss: 0.0275 (0.0301) loss_rec_all: 0.0635 (0.0661) loss_rec_sfr: 0.0770 (0.0952) loss_cl: -0.3676 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [06:17:41.703053] Epoch: [131] [560/850] eta: 0:04:11 lr: 0.002315 loss: 0.0271 (0.0300) loss_rec_all: 0.0633 (0.0660) loss_rec_sfr: 0.0745 (0.0951) loss_cl: -0.3674 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [06:17:58.909061] Epoch: [131] [580/850] eta: 0:03:54 lr: 0.002315 loss: 0.0290 (0.0300) loss_rec_all: 0.0651 (0.0660) loss_rec_sfr: 0.0794 (0.0949) loss_cl: -0.3670 (-0.3673) time: 0.8602 data: 0.0002 max mem: 29859 [06:18:16.184437] Epoch: [131] [600/850] eta: 0:03:36 lr: 0.002315 loss: 0.0279 (0.0299) loss_rec_all: 0.0639 (0.0660) loss_rec_sfr: 0.0876 (0.0950) loss_cl: -0.3668 (-0.3673) time: 0.8637 data: 0.0003 max mem: 29859 [06:18:33.376669] Epoch: [131] [620/850] eta: 0:03:19 lr: 0.002315 loss: 0.0298 (0.0299) loss_rec_all: 0.0655 (0.0660) loss_rec_sfr: 0.0772 (0.0950) loss_cl: -0.3672 (-0.3673) time: 0.8596 data: 0.0002 max mem: 29859 [06:18:50.636003] Epoch: [131] [640/850] eta: 0:03:02 lr: 0.002315 loss: 0.0299 (0.0300) loss_rec_all: 0.0659 (0.0661) loss_rec_sfr: 0.0796 (0.0950) loss_cl: -0.3673 (-0.3673) time: 0.8629 data: 0.0001 max mem: 29859 [06:19:07.836605] Epoch: [131] [660/850] eta: 0:02:44 lr: 0.002315 loss: 0.0291 (0.0300) loss_rec_all: 0.0650 (0.0661) loss_rec_sfr: 0.0803 (0.0949) loss_cl: -0.3670 (-0.3673) time: 0.8600 data: 0.0002 max mem: 29859 [06:19:25.091759] Epoch: [131] [680/850] eta: 0:02:27 lr: 0.002315 loss: 0.0322 (0.0301) loss_rec_all: 0.0680 (0.0661) loss_rec_sfr: 0.0996 (0.0952) loss_cl: -0.3671 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [06:19:42.291578] Epoch: [131] [700/850] eta: 0:02:09 lr: 0.002315 loss: 0.0303 (0.0301) loss_rec_all: 0.0665 (0.0662) loss_rec_sfr: 0.0806 (0.0950) loss_cl: -0.3675 (-0.3673) time: 0.8599 data: 0.0002 max mem: 29859 [06:19:59.546689] Epoch: [131] [720/850] eta: 0:01:52 lr: 0.002315 loss: 0.0289 (0.0301) loss_rec_all: 0.0648 (0.0661) loss_rec_sfr: 0.0775 (0.0951) loss_cl: -0.3677 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [06:20:16.769817] Epoch: [131] [740/850] eta: 0:01:35 lr: 0.002315 loss: 0.0276 (0.0300) loss_rec_all: 0.0639 (0.0661) loss_rec_sfr: 0.0721 (0.0950) loss_cl: -0.3674 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [06:20:34.019837] Epoch: [131] [760/850] eta: 0:01:17 lr: 0.002314 loss: 0.0258 (0.0300) loss_rec_all: 0.0620 (0.0660) loss_rec_sfr: 0.0682 (0.0947) loss_cl: -0.3673 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [06:20:51.257881] Epoch: [131] [780/850] eta: 0:01:00 lr: 0.002314 loss: 0.0274 (0.0299) loss_rec_all: 0.0634 (0.0660) loss_rec_sfr: 0.1054 (0.0948) loss_cl: -0.3677 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [06:21:08.504883] Epoch: [131] [800/850] eta: 0:00:43 lr: 0.002314 loss: 0.0278 (0.0299) loss_rec_all: 0.0640 (0.0659) loss_rec_sfr: 0.0814 (0.0951) loss_cl: -0.3676 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [06:21:25.732158] Epoch: [131] [820/850] eta: 0:00:25 lr: 0.002314 loss: 0.0280 (0.0299) loss_rec_all: 0.0639 (0.0659) loss_rec_sfr: 0.0784 (0.0950) loss_cl: -0.3672 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [06:21:42.970556] Epoch: [131] [840/850] eta: 0:00:08 lr: 0.002314 loss: 0.0291 (0.0299) loss_rec_all: 0.0649 (0.0659) loss_rec_sfr: 0.0774 (0.0950) loss_cl: -0.3669 (-0.3673) time: 0.8619 data: 0.0005 max mem: 29859 [06:21:50.709453] Epoch: [131] [849/850] eta: 0:00:00 lr: 0.002314 loss: 0.0275 (0.0298) loss_rec_all: 0.0638 (0.0659) loss_rec_sfr: 0.0742 (0.0949) loss_cl: -0.3671 (-0.3673) time: 0.8612 data: 0.0004 max mem: 29859 [06:21:50.856874] Epoch: [131] Total time: 0:12:15 (0.8658 s / it) [06:21:50.868704] Averaged stats: lr: 0.002314 loss: 0.0275 (0.0298) loss_rec_all: 0.0638 (0.0659) loss_rec_sfr: 0.0742 (0.0951) loss_cl: -0.3671 (-0.3672) [06:21:50.878228] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [06:21:55.184847] Epoch: [132] [ 0/850] eta: 1:00:59 lr: 0.002314 loss: 0.0264 (0.0264) loss_rec_all: 0.0623 (0.0623) loss_rec_sfr: 0.1137 (0.1137) loss_cl: -0.3668 (-0.3668) time: 4.3059 data: 3.2070 max mem: 29859 [06:22:12.412915] Epoch: [132] [ 20/850] eta: 0:14:11 lr: 0.002314 loss: 0.0266 (0.0272) loss_rec_all: 0.0629 (0.0632) loss_rec_sfr: 0.0756 (0.0923) loss_cl: -0.3665 (-0.3665) time: 0.8614 data: 0.0002 max mem: 29859 [06:22:29.631445] Epoch: [132] [ 40/850] eta: 0:12:45 lr: 0.002314 loss: 0.0270 (0.0276) loss_rec_all: 0.0628 (0.0637) loss_rec_sfr: 0.0722 (0.0890) loss_cl: -0.3669 (-0.3666) time: 0.8609 data: 0.0001 max mem: 29859 [06:22:46.830627] Epoch: [132] [ 60/850] eta: 0:12:04 lr: 0.002314 loss: 0.0264 (0.0276) loss_rec_all: 0.0626 (0.0637) loss_rec_sfr: 0.0801 (0.0907) loss_cl: -0.3664 (-0.3666) time: 0.8599 data: 0.0002 max mem: 29859 [06:23:04.103705] Epoch: [132] [ 80/850] eta: 0:11:36 lr: 0.002314 loss: 0.0286 (0.0281) loss_rec_all: 0.0648 (0.0641) loss_rec_sfr: 0.0937 (0.0916) loss_cl: -0.3668 (-0.3666) time: 0.8636 data: 0.0002 max mem: 29859 [06:23:21.297329] Epoch: [132] [100/850] eta: 0:11:11 lr: 0.002314 loss: 0.0291 (0.0285) loss_rec_all: 0.0653 (0.0645) loss_rec_sfr: 0.0712 (0.0904) loss_cl: -0.3680 (-0.3669) time: 0.8596 data: 0.0002 max mem: 29859 [06:23:38.617249] Epoch: [132] [120/850] eta: 0:10:49 lr: 0.002314 loss: 0.0294 (0.0288) loss_rec_all: 0.0651 (0.0648) loss_rec_sfr: 0.0939 (0.0920) loss_cl: -0.3678 (-0.3670) time: 0.8659 data: 0.0002 max mem: 29859 [06:23:55.816494] Epoch: [132] [140/850] eta: 0:10:29 lr: 0.002314 loss: 0.0316 (0.0293) loss_rec_all: 0.0676 (0.0653) loss_rec_sfr: 0.1029 (0.0935) loss_cl: -0.3674 (-0.3671) time: 0.8599 data: 0.0002 max mem: 29859 [06:24:13.058662] Epoch: [132] [160/850] eta: 0:10:09 lr: 0.002314 loss: 0.0298 (0.0295) loss_rec_all: 0.0660 (0.0655) loss_rec_sfr: 0.0951 (0.0940) loss_cl: -0.3672 (-0.3671) time: 0.8621 data: 0.0002 max mem: 29859 [06:24:30.325788] Epoch: [132] [180/850] eta: 0:09:50 lr: 0.002314 loss: 0.0283 (0.0295) loss_rec_all: 0.0645 (0.0656) loss_rec_sfr: 0.0695 (0.0930) loss_cl: -0.3671 (-0.3671) time: 0.8633 data: 0.0002 max mem: 29859 [06:24:47.565080] Epoch: [132] [200/850] eta: 0:09:31 lr: 0.002314 loss: 0.0293 (0.0295) loss_rec_all: 0.0654 (0.0656) loss_rec_sfr: 0.0835 (0.0933) loss_cl: -0.3672 (-0.3671) time: 0.8619 data: 0.0002 max mem: 29859 [06:25:04.801300] Epoch: [132] [220/850] eta: 0:09:12 lr: 0.002314 loss: 0.0287 (0.0295) loss_rec_all: 0.0649 (0.0656) loss_rec_sfr: 0.0750 (0.0929) loss_cl: -0.3668 (-0.3671) time: 0.8617 data: 0.0002 max mem: 29859 [06:25:22.055800] Epoch: [132] [240/850] eta: 0:08:54 lr: 0.002314 loss: 0.0278 (0.0294) loss_rec_all: 0.0640 (0.0655) loss_rec_sfr: 0.0761 (0.0924) loss_cl: -0.3666 (-0.3670) time: 0.8627 data: 0.0002 max mem: 29859 [06:25:39.265113] Epoch: [132] [260/850] eta: 0:08:36 lr: 0.002314 loss: 0.0277 (0.0293) loss_rec_all: 0.0640 (0.0654) loss_rec_sfr: 0.0654 (0.0919) loss_cl: -0.3674 (-0.3670) time: 0.8604 data: 0.0002 max mem: 29859 [06:25:56.541557] Epoch: [132] [280/850] eta: 0:08:18 lr: 0.002314 loss: 0.0254 (0.0291) loss_rec_all: 0.0618 (0.0652) loss_rec_sfr: 0.0729 (0.0914) loss_cl: -0.3678 (-0.3671) time: 0.8638 data: 0.0002 max mem: 29859 [06:26:13.748519] Epoch: [132] [300/850] eta: 0:08:00 lr: 0.002314 loss: 0.0269 (0.0290) loss_rec_all: 0.0630 (0.0651) loss_rec_sfr: 0.0948 (0.0916) loss_cl: -0.3681 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [06:26:31.005295] Epoch: [132] [320/850] eta: 0:07:42 lr: 0.002314 loss: 0.0261 (0.0289) loss_rec_all: 0.0626 (0.0650) loss_rec_sfr: 0.0765 (0.0914) loss_cl: -0.3683 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [06:26:48.194297] Epoch: [132] [340/850] eta: 0:07:24 lr: 0.002314 loss: 0.0274 (0.0289) loss_rec_all: 0.0634 (0.0649) loss_rec_sfr: 0.1031 (0.0920) loss_cl: -0.3679 (-0.3673) time: 0.8594 data: 0.0002 max mem: 29859 [06:27:05.440239] Epoch: [132] [360/850] eta: 0:07:06 lr: 0.002313 loss: 0.0272 (0.0288) loss_rec_all: 0.0634 (0.0649) loss_rec_sfr: 0.0774 (0.0917) loss_cl: -0.3672 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [06:27:22.658321] Epoch: [132] [380/850] eta: 0:06:49 lr: 0.002313 loss: 0.0277 (0.0288) loss_rec_all: 0.0638 (0.0649) loss_rec_sfr: 0.0942 (0.0917) loss_cl: -0.3667 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [06:27:39.895258] Epoch: [132] [400/850] eta: 0:06:31 lr: 0.002313 loss: 0.0289 (0.0288) loss_rec_all: 0.0650 (0.0649) loss_rec_sfr: 0.0753 (0.0919) loss_cl: -0.3665 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [06:27:57.125663] Epoch: [132] [420/850] eta: 0:06:14 lr: 0.002313 loss: 0.0276 (0.0288) loss_rec_all: 0.0636 (0.0649) loss_rec_sfr: 0.0765 (0.0920) loss_cl: -0.3666 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [06:28:14.354393] Epoch: [132] [440/850] eta: 0:05:56 lr: 0.002313 loss: 0.0279 (0.0288) loss_rec_all: 0.0640 (0.0649) loss_rec_sfr: 0.0702 (0.0918) loss_cl: -0.3672 (-0.3672) time: 0.8614 data: 0.0001 max mem: 29859 [06:28:31.567615] Epoch: [132] [460/850] eta: 0:05:38 lr: 0.002313 loss: 0.0287 (0.0288) loss_rec_all: 0.0650 (0.0649) loss_rec_sfr: 0.0822 (0.0921) loss_cl: -0.3678 (-0.3672) time: 0.8606 data: 0.0001 max mem: 29859 [06:28:48.824167] Epoch: [132] [480/850] eta: 0:05:21 lr: 0.002313 loss: 0.0294 (0.0289) loss_rec_all: 0.0654 (0.0650) loss_rec_sfr: 0.1078 (0.0928) loss_cl: -0.3678 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [06:29:06.007691] Epoch: [132] [500/850] eta: 0:05:03 lr: 0.002313 loss: 0.0300 (0.0289) loss_rec_all: 0.0659 (0.0650) loss_rec_sfr: 0.0942 (0.0931) loss_cl: -0.3679 (-0.3672) time: 0.8591 data: 0.0002 max mem: 29859 [06:29:23.246358] Epoch: [132] [520/850] eta: 0:04:46 lr: 0.002313 loss: 0.0288 (0.0290) loss_rec_all: 0.0650 (0.0651) loss_rec_sfr: 0.0822 (0.0933) loss_cl: -0.3674 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [06:29:40.447592] Epoch: [132] [540/850] eta: 0:04:29 lr: 0.002313 loss: 0.0295 (0.0290) loss_rec_all: 0.0652 (0.0651) loss_rec_sfr: 0.0824 (0.0935) loss_cl: -0.3665 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [06:29:57.725274] Epoch: [132] [560/850] eta: 0:04:11 lr: 0.002313 loss: 0.0277 (0.0290) loss_rec_all: 0.0639 (0.0651) loss_rec_sfr: 0.0826 (0.0935) loss_cl: -0.3670 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [06:30:14.941857] Epoch: [132] [580/850] eta: 0:03:54 lr: 0.002313 loss: 0.0289 (0.0291) loss_rec_all: 0.0652 (0.0652) loss_rec_sfr: 0.1034 (0.0938) loss_cl: -0.3680 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [06:30:32.186820] Epoch: [132] [600/850] eta: 0:03:36 lr: 0.002313 loss: 0.0283 (0.0291) loss_rec_all: 0.0645 (0.0651) loss_rec_sfr: 0.0744 (0.0936) loss_cl: -0.3678 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [06:30:49.456621] Epoch: [132] [620/850] eta: 0:03:19 lr: 0.002313 loss: 0.0266 (0.0290) loss_rec_all: 0.0627 (0.0651) loss_rec_sfr: 0.0736 (0.0933) loss_cl: -0.3673 (-0.3672) time: 0.8634 data: 0.0002 max mem: 29859 [06:31:06.695567] Epoch: [132] [640/850] eta: 0:03:02 lr: 0.002313 loss: 0.0276 (0.0291) loss_rec_all: 0.0639 (0.0651) loss_rec_sfr: 0.0770 (0.0931) loss_cl: -0.3672 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [06:31:23.932339] Epoch: [132] [660/850] eta: 0:02:44 lr: 0.002313 loss: 0.0299 (0.0291) loss_rec_all: 0.0658 (0.0652) loss_rec_sfr: 0.1015 (0.0933) loss_cl: -0.3666 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [06:31:41.189448] Epoch: [132] [680/850] eta: 0:02:27 lr: 0.002313 loss: 0.0293 (0.0291) loss_rec_all: 0.0653 (0.0652) loss_rec_sfr: 0.0955 (0.0935) loss_cl: -0.3666 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [06:31:58.391467] Epoch: [132] [700/850] eta: 0:02:09 lr: 0.002313 loss: 0.0279 (0.0291) loss_rec_all: 0.0638 (0.0652) loss_rec_sfr: 0.0666 (0.0932) loss_cl: -0.3670 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [06:32:15.675758] Epoch: [132] [720/850] eta: 0:01:52 lr: 0.002313 loss: 0.0276 (0.0291) loss_rec_all: 0.0639 (0.0651) loss_rec_sfr: 0.0676 (0.0931) loss_cl: -0.3677 (-0.3672) time: 0.8642 data: 0.0002 max mem: 29859 [06:32:32.874512] Epoch: [132] [740/850] eta: 0:01:35 lr: 0.002313 loss: 0.0303 (0.0291) loss_rec_all: 0.0662 (0.0652) loss_rec_sfr: 0.0868 (0.0931) loss_cl: -0.3676 (-0.3672) time: 0.8599 data: 0.0001 max mem: 29859 [06:32:50.142296] Epoch: [132] [760/850] eta: 0:01:17 lr: 0.002313 loss: 0.0288 (0.0291) loss_rec_all: 0.0646 (0.0652) loss_rec_sfr: 0.0956 (0.0932) loss_cl: -0.3676 (-0.3672) time: 0.8633 data: 0.0001 max mem: 29859 [06:33:07.351109] Epoch: [132] [780/850] eta: 0:01:00 lr: 0.002313 loss: 0.0281 (0.0291) loss_rec_all: 0.0640 (0.0652) loss_rec_sfr: 0.0709 (0.0931) loss_cl: -0.3673 (-0.3672) time: 0.8604 data: 0.0001 max mem: 29859 [06:33:24.603307] Epoch: [132] [800/850] eta: 0:00:43 lr: 0.002313 loss: 0.0286 (0.0292) loss_rec_all: 0.0650 (0.0652) loss_rec_sfr: 0.1027 (0.0933) loss_cl: -0.3672 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [06:33:41.819680] Epoch: [132] [820/850] eta: 0:00:25 lr: 0.002312 loss: 0.0309 (0.0292) loss_rec_all: 0.0671 (0.0653) loss_rec_sfr: 0.0847 (0.0932) loss_cl: -0.3677 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [06:33:59.061795] Epoch: [132] [840/850] eta: 0:00:08 lr: 0.002312 loss: 0.0288 (0.0293) loss_rec_all: 0.0650 (0.0653) loss_rec_sfr: 0.0809 (0.0931) loss_cl: -0.3677 (-0.3672) time: 0.8621 data: 0.0004 max mem: 29859 [06:34:06.820135] Epoch: [132] [849/850] eta: 0:00:00 lr: 0.002312 loss: 0.0291 (0.0293) loss_rec_all: 0.0654 (0.0654) loss_rec_sfr: 0.0701 (0.0931) loss_cl: -0.3680 (-0.3672) time: 0.8624 data: 0.0004 max mem: 29859 [06:34:06.940219] Epoch: [132] Total time: 0:12:16 (0.8660 s / it) [06:34:06.959803] Averaged stats: lr: 0.002312 loss: 0.0291 (0.0294) loss_rec_all: 0.0654 (0.0654) loss_rec_sfr: 0.0701 (0.0939) loss_cl: -0.3680 (-0.3672) [06:34:06.967658] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [06:34:11.297064] Epoch: [133] [ 0/850] eta: 1:01:19 lr: 0.002312 loss: 0.0289 (0.0289) loss_rec_all: 0.0648 (0.0648) loss_rec_sfr: 0.1440 (0.1440) loss_cl: -0.3685 (-0.3685) time: 4.3285 data: 3.4715 max mem: 29859 [06:34:28.458964] Epoch: [133] [ 20/850] eta: 0:14:09 lr: 0.002312 loss: 0.0283 (0.0293) loss_rec_all: 0.0647 (0.0655) loss_rec_sfr: 0.0961 (0.0984) loss_cl: -0.3683 (-0.3684) time: 0.8581 data: 0.0002 max mem: 29859 [06:34:45.703395] Epoch: [133] [ 40/850] eta: 0:12:45 lr: 0.002312 loss: 0.0298 (0.0298) loss_rec_all: 0.0659 (0.0659) loss_rec_sfr: 0.1010 (0.1012) loss_cl: -0.3678 (-0.3680) time: 0.8622 data: 0.0002 max mem: 29859 [06:35:02.920906] Epoch: [133] [ 60/850] eta: 0:12:04 lr: 0.002312 loss: 0.0280 (0.0291) loss_rec_all: 0.0639 (0.0652) loss_rec_sfr: 0.0971 (0.1013) loss_cl: -0.3671 (-0.3678) time: 0.8608 data: 0.0002 max mem: 29859 [06:35:20.170156] Epoch: [133] [ 80/850] eta: 0:11:35 lr: 0.002312 loss: 0.0290 (0.0292) loss_rec_all: 0.0648 (0.0652) loss_rec_sfr: 0.0951 (0.1009) loss_cl: -0.3667 (-0.3675) time: 0.8624 data: 0.0001 max mem: 29859 [06:35:37.425628] Epoch: [133] [100/850] eta: 0:11:11 lr: 0.002312 loss: 0.0273 (0.0290) loss_rec_all: 0.0631 (0.0650) loss_rec_sfr: 0.1050 (0.1005) loss_cl: -0.3663 (-0.3673) time: 0.8627 data: 0.0003 max mem: 29859 [06:35:54.658560] Epoch: [133] [120/850] eta: 0:10:49 lr: 0.002312 loss: 0.0263 (0.0286) loss_rec_all: 0.0626 (0.0646) loss_rec_sfr: 0.0703 (0.0976) loss_cl: -0.3668 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [06:36:11.933038] Epoch: [133] [140/850] eta: 0:10:29 lr: 0.002312 loss: 0.0259 (0.0284) loss_rec_all: 0.0621 (0.0645) loss_rec_sfr: 0.0756 (0.0961) loss_cl: -0.3673 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [06:36:29.257932] Epoch: [133] [160/850] eta: 0:10:09 lr: 0.002312 loss: 0.0270 (0.0283) loss_rec_all: 0.0632 (0.0644) loss_rec_sfr: 0.0803 (0.0961) loss_cl: -0.3676 (-0.3673) time: 0.8662 data: 0.0003 max mem: 29859 [06:36:46.458616] Epoch: [133] [180/850] eta: 0:09:50 lr: 0.002312 loss: 0.0287 (0.0285) loss_rec_all: 0.0645 (0.0645) loss_rec_sfr: 0.0931 (0.0961) loss_cl: -0.3676 (-0.3673) time: 0.8600 data: 0.0002 max mem: 29859 [06:37:03.750753] Epoch: [133] [200/850] eta: 0:09:31 lr: 0.002312 loss: 0.0290 (0.0286) loss_rec_all: 0.0650 (0.0646) loss_rec_sfr: 0.0956 (0.0962) loss_cl: -0.3680 (-0.3674) time: 0.8646 data: 0.0002 max mem: 29859 [06:37:20.951583] Epoch: [133] [220/850] eta: 0:09:12 lr: 0.002312 loss: 0.0285 (0.0287) loss_rec_all: 0.0646 (0.0647) loss_rec_sfr: 0.0999 (0.0962) loss_cl: -0.3676 (-0.3674) time: 0.8600 data: 0.0002 max mem: 29859 [06:37:38.211194] Epoch: [133] [240/850] eta: 0:08:54 lr: 0.002312 loss: 0.0277 (0.0288) loss_rec_all: 0.0637 (0.0648) loss_rec_sfr: 0.0755 (0.0954) loss_cl: -0.3672 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [06:37:55.446540] Epoch: [133] [260/850] eta: 0:08:36 lr: 0.002312 loss: 0.0288 (0.0288) loss_rec_all: 0.0648 (0.0649) loss_rec_sfr: 0.1036 (0.0955) loss_cl: -0.3667 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [06:38:12.680484] Epoch: [133] [280/850] eta: 0:08:18 lr: 0.002312 loss: 0.0278 (0.0288) loss_rec_all: 0.0640 (0.0649) loss_rec_sfr: 0.0686 (0.0952) loss_cl: -0.3667 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [06:38:29.949911] Epoch: [133] [300/850] eta: 0:08:00 lr: 0.002312 loss: 0.0272 (0.0288) loss_rec_all: 0.0634 (0.0648) loss_rec_sfr: 0.0657 (0.0941) loss_cl: -0.3668 (-0.3672) time: 0.8634 data: 0.0002 max mem: 29859 [06:38:47.189425] Epoch: [133] [320/850] eta: 0:07:42 lr: 0.002312 loss: 0.0263 (0.0286) loss_rec_all: 0.0624 (0.0647) loss_rec_sfr: 0.0758 (0.0937) loss_cl: -0.3674 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [06:39:04.399127] Epoch: [133] [340/850] eta: 0:07:24 lr: 0.002312 loss: 0.0262 (0.0286) loss_rec_all: 0.0625 (0.0647) loss_rec_sfr: 0.0719 (0.0935) loss_cl: -0.3676 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [06:39:21.670367] Epoch: [133] [360/850] eta: 0:07:07 lr: 0.002312 loss: 0.0277 (0.0286) loss_rec_all: 0.0636 (0.0647) loss_rec_sfr: 0.0983 (0.0936) loss_cl: -0.3678 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [06:39:38.847577] Epoch: [133] [380/850] eta: 0:06:49 lr: 0.002312 loss: 0.0265 (0.0286) loss_rec_all: 0.0627 (0.0647) loss_rec_sfr: 0.0724 (0.0931) loss_cl: -0.3672 (-0.3673) time: 0.8588 data: 0.0002 max mem: 29859 [06:39:56.131918] Epoch: [133] [400/850] eta: 0:06:31 lr: 0.002312 loss: 0.0272 (0.0286) loss_rec_all: 0.0634 (0.0646) loss_rec_sfr: 0.0742 (0.0930) loss_cl: -0.3668 (-0.3672) time: 0.8642 data: 0.0002 max mem: 29859 [06:40:13.341684] Epoch: [133] [420/850] eta: 0:06:14 lr: 0.002312 loss: 0.0281 (0.0285) loss_rec_all: 0.0639 (0.0646) loss_rec_sfr: 0.0919 (0.0931) loss_cl: -0.3671 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [06:40:30.609063] Epoch: [133] [440/850] eta: 0:05:56 lr: 0.002311 loss: 0.0270 (0.0285) loss_rec_all: 0.0633 (0.0646) loss_rec_sfr: 0.0732 (0.0928) loss_cl: -0.3675 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [06:40:47.824589] Epoch: [133] [460/850] eta: 0:05:39 lr: 0.002311 loss: 0.0338 (0.0288) loss_rec_all: 0.0698 (0.0649) loss_rec_sfr: 0.0851 (0.0931) loss_cl: -0.3674 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [06:41:05.081269] Epoch: [133] [480/850] eta: 0:05:21 lr: 0.002311 loss: 0.0297 (0.0289) loss_rec_all: 0.0660 (0.0650) loss_rec_sfr: 0.0741 (0.0929) loss_cl: -0.3675 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [06:41:22.313168] Epoch: [133] [500/850] eta: 0:05:04 lr: 0.002311 loss: 0.0301 (0.0290) loss_rec_all: 0.0660 (0.0650) loss_rec_sfr: 0.1038 (0.0932) loss_cl: -0.3670 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [06:41:39.564399] Epoch: [133] [520/850] eta: 0:04:46 lr: 0.002311 loss: 0.0302 (0.0290) loss_rec_all: 0.0660 (0.0651) loss_rec_sfr: 0.0972 (0.0934) loss_cl: -0.3673 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [06:41:56.771995] Epoch: [133] [540/850] eta: 0:04:29 lr: 0.002311 loss: 0.0277 (0.0290) loss_rec_all: 0.0640 (0.0651) loss_rec_sfr: 0.0799 (0.0930) loss_cl: -0.3673 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [06:42:14.016621] Epoch: [133] [560/850] eta: 0:04:11 lr: 0.002311 loss: 0.0301 (0.0291) loss_rec_all: 0.0661 (0.0652) loss_rec_sfr: 0.1004 (0.0931) loss_cl: -0.3675 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [06:42:31.250473] Epoch: [133] [580/850] eta: 0:03:54 lr: 0.002311 loss: 0.0290 (0.0291) loss_rec_all: 0.0652 (0.0652) loss_rec_sfr: 0.0945 (0.0931) loss_cl: -0.3678 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [06:42:48.491377] Epoch: [133] [600/850] eta: 0:03:36 lr: 0.002311 loss: 0.0270 (0.0290) loss_rec_all: 0.0633 (0.0651) loss_rec_sfr: 0.0746 (0.0930) loss_cl: -0.3671 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [06:43:05.711120] Epoch: [133] [620/850] eta: 0:03:19 lr: 0.002311 loss: 0.0295 (0.0291) loss_rec_all: 0.0656 (0.0652) loss_rec_sfr: 0.0915 (0.0929) loss_cl: -0.3672 (-0.3673) time: 0.8609 data: 0.0002 max mem: 29859 [06:43:22.979535] Epoch: [133] [640/850] eta: 0:03:02 lr: 0.002311 loss: 0.0268 (0.0290) loss_rec_all: 0.0630 (0.0651) loss_rec_sfr: 0.0675 (0.0925) loss_cl: -0.3666 (-0.3672) time: 0.8634 data: 0.0002 max mem: 29859 [06:43:40.182726] Epoch: [133] [660/850] eta: 0:02:44 lr: 0.002311 loss: 0.0270 (0.0290) loss_rec_all: 0.0631 (0.0651) loss_rec_sfr: 0.0716 (0.0923) loss_cl: -0.3669 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [06:43:57.456925] Epoch: [133] [680/850] eta: 0:02:27 lr: 0.002311 loss: 0.0289 (0.0290) loss_rec_all: 0.0649 (0.0651) loss_rec_sfr: 0.1010 (0.0927) loss_cl: -0.3665 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [06:44:14.653862] Epoch: [133] [700/850] eta: 0:02:10 lr: 0.002311 loss: 0.0266 (0.0290) loss_rec_all: 0.0628 (0.0650) loss_rec_sfr: 0.0717 (0.0926) loss_cl: -0.3668 (-0.3672) time: 0.8598 data: 0.0002 max mem: 29859 [06:44:31.947032] Epoch: [133] [720/850] eta: 0:01:52 lr: 0.002311 loss: 0.0273 (0.0290) loss_rec_all: 0.0635 (0.0650) loss_rec_sfr: 0.0740 (0.0924) loss_cl: -0.3677 (-0.3672) time: 0.8646 data: 0.0002 max mem: 29859 [06:44:49.166085] Epoch: [133] [740/850] eta: 0:01:35 lr: 0.002311 loss: 0.0269 (0.0289) loss_rec_all: 0.0631 (0.0650) loss_rec_sfr: 0.0654 (0.0921) loss_cl: -0.3683 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [06:45:06.407055] Epoch: [133] [760/850] eta: 0:01:17 lr: 0.002311 loss: 0.0275 (0.0289) loss_rec_all: 0.0633 (0.0650) loss_rec_sfr: 0.1137 (0.0925) loss_cl: -0.3680 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [06:45:23.647305] Epoch: [133] [780/850] eta: 0:01:00 lr: 0.002311 loss: 0.0283 (0.0289) loss_rec_all: 0.0643 (0.0650) loss_rec_sfr: 0.0922 (0.0925) loss_cl: -0.3679 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [06:45:40.885988] Epoch: [133] [800/850] eta: 0:00:43 lr: 0.002311 loss: 0.0270 (0.0289) loss_rec_all: 0.0633 (0.0649) loss_rec_sfr: 0.0658 (0.0922) loss_cl: -0.3676 (-0.3673) time: 0.8619 data: 0.0001 max mem: 29859 [06:45:58.106337] Epoch: [133] [820/850] eta: 0:00:25 lr: 0.002311 loss: 0.0265 (0.0288) loss_rec_all: 0.0627 (0.0649) loss_rec_sfr: 0.0646 (0.0920) loss_cl: -0.3671 (-0.3673) time: 0.8610 data: 0.0002 max mem: 29859 [06:46:15.355451] Epoch: [133] [840/850] eta: 0:00:08 lr: 0.002311 loss: 0.0283 (0.0288) loss_rec_all: 0.0644 (0.0649) loss_rec_sfr: 0.0933 (0.0922) loss_cl: -0.3666 (-0.3672) time: 0.8624 data: 0.0005 max mem: 29859 [06:46:23.097244] Epoch: [133] [849/850] eta: 0:00:00 lr: 0.002311 loss: 0.0298 (0.0289) loss_rec_all: 0.0658 (0.0649) loss_rec_sfr: 0.0961 (0.0923) loss_cl: -0.3670 (-0.3672) time: 0.8618 data: 0.0004 max mem: 29859 [06:46:23.248443] Epoch: [133] Total time: 0:12:16 (0.8662 s / it) [06:46:23.272001] Averaged stats: lr: 0.002311 loss: 0.0298 (0.0289) loss_rec_all: 0.0658 (0.0650) loss_rec_sfr: 0.0961 (0.0923) loss_cl: -0.3670 (-0.3672) [06:46:23.278919] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [06:46:27.809011] Epoch: [134] [ 0/850] eta: 1:04:09 lr: 0.002311 loss: 0.0289 (0.0289) loss_rec_all: 0.0651 (0.0651) loss_rec_sfr: 0.0663 (0.0663) loss_cl: -0.3670 (-0.3670) time: 4.5293 data: 3.2789 max mem: 29859 [06:46:45.005695] Epoch: [134] [ 20/850] eta: 0:14:18 lr: 0.002311 loss: 0.0291 (0.0309) loss_rec_all: 0.0653 (0.0669) loss_rec_sfr: 0.0995 (0.0967) loss_cl: -0.3673 (-0.3670) time: 0.8598 data: 0.0002 max mem: 29859 [06:47:02.236355] Epoch: [134] [ 40/850] eta: 0:12:49 lr: 0.002310 loss: 0.0295 (0.0302) loss_rec_all: 0.0654 (0.0663) loss_rec_sfr: 0.0985 (0.0980) loss_cl: -0.3672 (-0.3671) time: 0.8615 data: 0.0002 max mem: 29859 [06:47:19.457161] Epoch: [134] [ 60/850] eta: 0:12:07 lr: 0.002310 loss: 0.0270 (0.0294) loss_rec_all: 0.0631 (0.0655) loss_rec_sfr: 0.0728 (0.0947) loss_cl: -0.3672 (-0.3671) time: 0.8610 data: 0.0002 max mem: 29859 [06:47:36.697133] Epoch: [134] [ 80/850] eta: 0:11:37 lr: 0.002310 loss: 0.0298 (0.0299) loss_rec_all: 0.0655 (0.0659) loss_rec_sfr: 0.1045 (0.0960) loss_cl: -0.3672 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [06:47:53.892312] Epoch: [134] [100/850] eta: 0:11:12 lr: 0.002310 loss: 0.0285 (0.0299) loss_rec_all: 0.0645 (0.0660) loss_rec_sfr: 0.0971 (0.0970) loss_cl: -0.3675 (-0.3672) time: 0.8597 data: 0.0002 max mem: 29859 [06:48:11.160244] Epoch: [134] [120/850] eta: 0:10:50 lr: 0.002310 loss: 0.0270 (0.0296) loss_rec_all: 0.0631 (0.0656) loss_rec_sfr: 0.0698 (0.0946) loss_cl: -0.3673 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [06:48:28.374819] Epoch: [134] [140/850] eta: 0:10:29 lr: 0.002310 loss: 0.0277 (0.0295) loss_rec_all: 0.0637 (0.0655) loss_rec_sfr: 0.0773 (0.0946) loss_cl: -0.3670 (-0.3672) time: 0.8607 data: 0.0005 max mem: 29859 [06:48:45.665362] Epoch: [134] [160/850] eta: 0:10:10 lr: 0.002310 loss: 0.0271 (0.0294) loss_rec_all: 0.0629 (0.0654) loss_rec_sfr: 0.1110 (0.0963) loss_cl: -0.3665 (-0.3671) time: 0.8645 data: 0.0002 max mem: 29859 [06:49:02.871999] Epoch: [134] [180/850] eta: 0:09:50 lr: 0.002310 loss: 0.0269 (0.0292) loss_rec_all: 0.0631 (0.0653) loss_rec_sfr: 0.0657 (0.0947) loss_cl: -0.3667 (-0.3671) time: 0.8603 data: 0.0002 max mem: 29859 [06:49:20.147802] Epoch: [134] [200/850] eta: 0:09:31 lr: 0.002310 loss: 0.0273 (0.0291) loss_rec_all: 0.0635 (0.0652) loss_rec_sfr: 0.0970 (0.0956) loss_cl: -0.3670 (-0.3671) time: 0.8637 data: 0.0002 max mem: 29859 [06:49:37.368929] Epoch: [134] [220/850] eta: 0:09:13 lr: 0.002310 loss: 0.0288 (0.0292) loss_rec_all: 0.0647 (0.0652) loss_rec_sfr: 0.0929 (0.0950) loss_cl: -0.3671 (-0.3671) time: 0.8610 data: 0.0002 max mem: 29859 [06:49:54.621961] Epoch: [134] [240/850] eta: 0:08:54 lr: 0.002310 loss: 0.0263 (0.0290) loss_rec_all: 0.0624 (0.0651) loss_rec_sfr: 0.0706 (0.0950) loss_cl: -0.3680 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [06:50:11.855140] Epoch: [134] [260/850] eta: 0:08:36 lr: 0.002310 loss: 0.0278 (0.0290) loss_rec_all: 0.0637 (0.0650) loss_rec_sfr: 0.0917 (0.0945) loss_cl: -0.3679 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [06:50:29.096669] Epoch: [134] [280/850] eta: 0:08:18 lr: 0.002310 loss: 0.0261 (0.0288) loss_rec_all: 0.0623 (0.0649) loss_rec_sfr: 0.0641 (0.0935) loss_cl: -0.3672 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [06:50:46.361269] Epoch: [134] [300/850] eta: 0:08:00 lr: 0.002310 loss: 0.0264 (0.0287) loss_rec_all: 0.0626 (0.0648) loss_rec_sfr: 0.0977 (0.0936) loss_cl: -0.3666 (-0.3672) time: 0.8632 data: 0.0002 max mem: 29859 [06:51:03.601830] Epoch: [134] [320/850] eta: 0:07:42 lr: 0.002310 loss: 0.0275 (0.0287) loss_rec_all: 0.0637 (0.0648) loss_rec_sfr: 0.0921 (0.0939) loss_cl: -0.3668 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [06:51:20.807670] Epoch: [134] [340/850] eta: 0:07:24 lr: 0.002310 loss: 0.0282 (0.0288) loss_rec_all: 0.0644 (0.0648) loss_rec_sfr: 0.0946 (0.0941) loss_cl: -0.3674 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [06:51:38.088380] Epoch: [134] [360/850] eta: 0:07:07 lr: 0.002310 loss: 0.0280 (0.0288) loss_rec_all: 0.0639 (0.0648) loss_rec_sfr: 0.0785 (0.0941) loss_cl: -0.3680 (-0.3672) time: 0.8640 data: 0.0002 max mem: 29859 [06:51:55.280948] Epoch: [134] [380/850] eta: 0:06:49 lr: 0.002310 loss: 0.0305 (0.0289) loss_rec_all: 0.0664 (0.0650) loss_rec_sfr: 0.1065 (0.0948) loss_cl: -0.3679 (-0.3672) time: 0.8596 data: 0.0002 max mem: 29859 [06:52:12.553107] Epoch: [134] [400/850] eta: 0:06:31 lr: 0.002310 loss: 0.0300 (0.0290) loss_rec_all: 0.0658 (0.0651) loss_rec_sfr: 0.1035 (0.0950) loss_cl: -0.3671 (-0.3672) time: 0.8636 data: 0.0002 max mem: 29859 [06:52:29.755335] Epoch: [134] [420/850] eta: 0:06:14 lr: 0.002310 loss: 0.0289 (0.0291) loss_rec_all: 0.0649 (0.0652) loss_rec_sfr: 0.0888 (0.0949) loss_cl: -0.3668 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [06:52:47.015075] Epoch: [134] [440/850] eta: 0:05:56 lr: 0.002310 loss: 0.0312 (0.0292) loss_rec_all: 0.0670 (0.0653) loss_rec_sfr: 0.1053 (0.0955) loss_cl: -0.3668 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [06:53:04.231014] Epoch: [134] [460/850] eta: 0:05:39 lr: 0.002310 loss: 0.0291 (0.0292) loss_rec_all: 0.0650 (0.0653) loss_rec_sfr: 0.1004 (0.0957) loss_cl: -0.3673 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [06:53:21.467565] Epoch: [134] [480/850] eta: 0:05:21 lr: 0.002309 loss: 0.0294 (0.0292) loss_rec_all: 0.0656 (0.0653) loss_rec_sfr: 0.1078 (0.0962) loss_cl: -0.3672 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [06:53:38.673659] Epoch: [134] [500/850] eta: 0:05:04 lr: 0.002309 loss: 0.0280 (0.0292) loss_rec_all: 0.0642 (0.0653) loss_rec_sfr: 0.1106 (0.0966) loss_cl: -0.3667 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [06:53:55.930156] Epoch: [134] [520/850] eta: 0:04:46 lr: 0.002309 loss: 0.0272 (0.0292) loss_rec_all: 0.0633 (0.0652) loss_rec_sfr: 0.0933 (0.0964) loss_cl: -0.3670 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [06:54:13.127821] Epoch: [134] [540/850] eta: 0:04:29 lr: 0.002309 loss: 0.0257 (0.0291) loss_rec_all: 0.0620 (0.0651) loss_rec_sfr: 0.0735 (0.0960) loss_cl: -0.3672 (-0.3672) time: 0.8598 data: 0.0002 max mem: 29859 [06:54:30.364570] Epoch: [134] [560/850] eta: 0:04:11 lr: 0.002309 loss: 0.0279 (0.0291) loss_rec_all: 0.0636 (0.0651) loss_rec_sfr: 0.0923 (0.0958) loss_cl: -0.3675 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [06:54:47.584098] Epoch: [134] [580/850] eta: 0:03:54 lr: 0.002309 loss: 0.0297 (0.0291) loss_rec_all: 0.0657 (0.0652) loss_rec_sfr: 0.0786 (0.0957) loss_cl: -0.3680 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [06:55:04.816411] Epoch: [134] [600/850] eta: 0:03:36 lr: 0.002309 loss: 0.0304 (0.0292) loss_rec_all: 0.0663 (0.0652) loss_rec_sfr: 0.1015 (0.0958) loss_cl: -0.3682 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [06:55:22.025681] Epoch: [134] [620/850] eta: 0:03:19 lr: 0.002309 loss: 0.0288 (0.0292) loss_rec_all: 0.0649 (0.0653) loss_rec_sfr: 0.1012 (0.0960) loss_cl: -0.3677 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [06:55:39.270397] Epoch: [134] [640/850] eta: 0:03:02 lr: 0.002309 loss: 0.0306 (0.0292) loss_rec_all: 0.0665 (0.0653) loss_rec_sfr: 0.0844 (0.0960) loss_cl: -0.3674 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [06:55:56.490103] Epoch: [134] [660/850] eta: 0:02:44 lr: 0.002309 loss: 0.0284 (0.0293) loss_rec_all: 0.0646 (0.0653) loss_rec_sfr: 0.1068 (0.0962) loss_cl: -0.3672 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [06:56:13.735138] Epoch: [134] [680/850] eta: 0:02:27 lr: 0.002309 loss: 0.0279 (0.0293) loss_rec_all: 0.0641 (0.0653) loss_rec_sfr: 0.0955 (0.0963) loss_cl: -0.3672 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [06:56:30.948982] Epoch: [134] [700/850] eta: 0:02:10 lr: 0.002309 loss: 0.0283 (0.0293) loss_rec_all: 0.0646 (0.0653) loss_rec_sfr: 0.0757 (0.0961) loss_cl: -0.3670 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [06:56:48.189964] Epoch: [134] [720/850] eta: 0:01:52 lr: 0.002309 loss: 0.0273 (0.0292) loss_rec_all: 0.0634 (0.0653) loss_rec_sfr: 0.0958 (0.0961) loss_cl: -0.3672 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [06:57:05.389263] Epoch: [134] [740/850] eta: 0:01:35 lr: 0.002309 loss: 0.0272 (0.0292) loss_rec_all: 0.0633 (0.0652) loss_rec_sfr: 0.0809 (0.0960) loss_cl: -0.3674 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [06:57:22.666889] Epoch: [134] [760/850] eta: 0:01:17 lr: 0.002309 loss: 0.0289 (0.0292) loss_rec_all: 0.0646 (0.0653) loss_rec_sfr: 0.1001 (0.0962) loss_cl: -0.3672 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [06:57:39.864247] Epoch: [134] [780/850] eta: 0:01:00 lr: 0.002309 loss: 0.0279 (0.0292) loss_rec_all: 0.0638 (0.0652) loss_rec_sfr: 0.1002 (0.0964) loss_cl: -0.3671 (-0.3672) time: 0.8598 data: 0.0002 max mem: 29859 [06:57:57.102896] Epoch: [134] [800/850] eta: 0:00:43 lr: 0.002309 loss: 0.0290 (0.0292) loss_rec_all: 0.0648 (0.0653) loss_rec_sfr: 0.0985 (0.0963) loss_cl: -0.3671 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [06:58:14.320496] Epoch: [134] [820/850] eta: 0:00:25 lr: 0.002309 loss: 0.0320 (0.0293) loss_rec_all: 0.0680 (0.0653) loss_rec_sfr: 0.0802 (0.0962) loss_cl: -0.3670 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [06:58:31.554996] Epoch: [134] [840/850] eta: 0:00:08 lr: 0.002309 loss: 0.0316 (0.0294) loss_rec_all: 0.0675 (0.0654) loss_rec_sfr: 0.0822 (0.0963) loss_cl: -0.3671 (-0.3672) time: 0.8617 data: 0.0004 max mem: 29859 [06:58:39.293028] Epoch: [134] [849/850] eta: 0:00:00 lr: 0.002309 loss: 0.0306 (0.0294) loss_rec_all: 0.0667 (0.0654) loss_rec_sfr: 0.0728 (0.0962) loss_cl: -0.3670 (-0.3672) time: 0.8615 data: 0.0004 max mem: 29859 [06:58:39.447511] Epoch: [134] Total time: 0:12:16 (0.8661 s / it) [06:58:39.450040] Averaged stats: lr: 0.002309 loss: 0.0306 (0.0293) loss_rec_all: 0.0667 (0.0653) loss_rec_sfr: 0.0728 (0.0959) loss_cl: -0.3670 (-0.3672) [06:58:39.462120] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [06:58:43.529547] Epoch: [135] [ 0/850] eta: 0:57:36 lr: 0.002309 loss: 0.0287 (0.0287) loss_rec_all: 0.0644 (0.0644) loss_rec_sfr: 0.1362 (0.1362) loss_cl: -0.3665 (-0.3665) time: 4.0666 data: 3.2068 max mem: 29859 [06:59:00.723181] Epoch: [135] [ 20/850] eta: 0:14:00 lr: 0.002309 loss: 0.0311 (0.0312) loss_rec_all: 0.0667 (0.0671) loss_rec_sfr: 0.1017 (0.1071) loss_cl: -0.3676 (-0.3674) time: 0.8596 data: 0.0002 max mem: 29859 [06:59:17.952299] Epoch: [135] [ 40/850] eta: 0:12:40 lr: 0.002309 loss: 0.0296 (0.0310) loss_rec_all: 0.0656 (0.0671) loss_rec_sfr: 0.0835 (0.1024) loss_cl: -0.3677 (-0.3675) time: 0.8614 data: 0.0002 max mem: 29859 [06:59:35.176579] Epoch: [135] [ 60/850] eta: 0:12:01 lr: 0.002309 loss: 0.0289 (0.0307) loss_rec_all: 0.0651 (0.0668) loss_rec_sfr: 0.0929 (0.0999) loss_cl: -0.3674 (-0.3675) time: 0.8612 data: 0.0002 max mem: 29859 [06:59:52.421544] Epoch: [135] [ 80/850] eta: 0:11:33 lr: 0.002308 loss: 0.0280 (0.0302) loss_rec_all: 0.0642 (0.0663) loss_rec_sfr: 0.0766 (0.0984) loss_cl: -0.3676 (-0.3675) time: 0.8622 data: 0.0002 max mem: 29859 [07:00:09.634270] Epoch: [135] [100/850] eta: 0:11:09 lr: 0.002308 loss: 0.0285 (0.0299) loss_rec_all: 0.0645 (0.0660) loss_rec_sfr: 0.0959 (0.0974) loss_cl: -0.3672 (-0.3674) time: 0.8606 data: 0.0002 max mem: 29859 [07:00:26.879030] Epoch: [135] [120/850] eta: 0:10:48 lr: 0.002308 loss: 0.0267 (0.0296) loss_rec_all: 0.0629 (0.0656) loss_rec_sfr: 0.0932 (0.0969) loss_cl: -0.3671 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [07:00:44.094150] Epoch: [135] [140/850] eta: 0:10:27 lr: 0.002308 loss: 0.0274 (0.0294) loss_rec_all: 0.0633 (0.0654) loss_rec_sfr: 0.0928 (0.0976) loss_cl: -0.3672 (-0.3673) time: 0.8607 data: 0.0002 max mem: 29859 [07:01:01.336968] Epoch: [135] [160/850] eta: 0:10:07 lr: 0.002308 loss: 0.0262 (0.0291) loss_rec_all: 0.0621 (0.0652) loss_rec_sfr: 0.0790 (0.0965) loss_cl: -0.3675 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [07:01:18.549392] Epoch: [135] [180/850] eta: 0:09:48 lr: 0.002308 loss: 0.0286 (0.0291) loss_rec_all: 0.0643 (0.0651) loss_rec_sfr: 0.1237 (0.0983) loss_cl: -0.3674 (-0.3673) time: 0.8606 data: 0.0002 max mem: 29859 [07:01:35.790895] Epoch: [135] [200/850] eta: 0:09:30 lr: 0.002308 loss: 0.0271 (0.0290) loss_rec_all: 0.0633 (0.0651) loss_rec_sfr: 0.0753 (0.0975) loss_cl: -0.3673 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [07:01:52.994766] Epoch: [135] [220/850] eta: 0:09:11 lr: 0.002308 loss: 0.0264 (0.0289) loss_rec_all: 0.0627 (0.0649) loss_rec_sfr: 0.0730 (0.0962) loss_cl: -0.3673 (-0.3673) time: 0.8601 data: 0.0002 max mem: 29859 [07:02:10.285541] Epoch: [135] [240/850] eta: 0:08:53 lr: 0.002308 loss: 0.0267 (0.0287) loss_rec_all: 0.0629 (0.0648) loss_rec_sfr: 0.0935 (0.0961) loss_cl: -0.3679 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [07:02:27.491235] Epoch: [135] [260/850] eta: 0:08:35 lr: 0.002308 loss: 0.0261 (0.0286) loss_rec_all: 0.0622 (0.0646) loss_rec_sfr: 0.0965 (0.0960) loss_cl: -0.3676 (-0.3674) time: 0.8602 data: 0.0002 max mem: 29859 [07:02:44.753137] Epoch: [135] [280/850] eta: 0:08:17 lr: 0.002308 loss: 0.0290 (0.0286) loss_rec_all: 0.0646 (0.0646) loss_rec_sfr: 0.0933 (0.0956) loss_cl: -0.3676 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [07:03:01.957942] Epoch: [135] [300/850] eta: 0:07:59 lr: 0.002308 loss: 0.0276 (0.0286) loss_rec_all: 0.0639 (0.0646) loss_rec_sfr: 0.0836 (0.0951) loss_cl: -0.3674 (-0.3674) time: 0.8602 data: 0.0002 max mem: 29859 [07:03:19.215319] Epoch: [135] [320/850] eta: 0:07:41 lr: 0.002308 loss: 0.0266 (0.0285) loss_rec_all: 0.0627 (0.0646) loss_rec_sfr: 0.0762 (0.0948) loss_cl: -0.3676 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [07:03:36.425249] Epoch: [135] [340/850] eta: 0:07:24 lr: 0.002308 loss: 0.0265 (0.0285) loss_rec_all: 0.0628 (0.0646) loss_rec_sfr: 0.0642 (0.0942) loss_cl: -0.3673 (-0.3674) time: 0.8604 data: 0.0002 max mem: 29859 [07:03:53.681260] Epoch: [135] [360/850] eta: 0:07:06 lr: 0.002308 loss: 0.0284 (0.0285) loss_rec_all: 0.0642 (0.0646) loss_rec_sfr: 0.1020 (0.0946) loss_cl: -0.3670 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [07:04:10.896538] Epoch: [135] [380/850] eta: 0:06:48 lr: 0.002308 loss: 0.0296 (0.0287) loss_rec_all: 0.0654 (0.0647) loss_rec_sfr: 0.1102 (0.0951) loss_cl: -0.3671 (-0.3674) time: 0.8607 data: 0.0002 max mem: 29859 [07:04:28.160404] Epoch: [135] [400/850] eta: 0:06:31 lr: 0.002308 loss: 0.0288 (0.0287) loss_rec_all: 0.0650 (0.0648) loss_rec_sfr: 0.0761 (0.0950) loss_cl: -0.3670 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [07:04:45.360109] Epoch: [135] [420/850] eta: 0:06:13 lr: 0.002308 loss: 0.0284 (0.0287) loss_rec_all: 0.0646 (0.0648) loss_rec_sfr: 0.0715 (0.0944) loss_cl: -0.3674 (-0.3673) time: 0.8599 data: 0.0002 max mem: 29859 [07:05:02.633761] Epoch: [135] [440/850] eta: 0:05:56 lr: 0.002308 loss: 0.0291 (0.0288) loss_rec_all: 0.0652 (0.0649) loss_rec_sfr: 0.1014 (0.0947) loss_cl: -0.3673 (-0.3673) time: 0.8636 data: 0.0003 max mem: 29859 [07:05:19.843710] Epoch: [135] [460/850] eta: 0:05:38 lr: 0.002308 loss: 0.0298 (0.0289) loss_rec_all: 0.0657 (0.0649) loss_rec_sfr: 0.1019 (0.0951) loss_cl: -0.3676 (-0.3673) time: 0.8604 data: 0.0002 max mem: 29859 [07:05:37.078712] Epoch: [135] [480/850] eta: 0:05:21 lr: 0.002308 loss: 0.0288 (0.0289) loss_rec_all: 0.0651 (0.0650) loss_rec_sfr: 0.0788 (0.0949) loss_cl: -0.3675 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [07:05:54.303477] Epoch: [135] [500/850] eta: 0:05:03 lr: 0.002308 loss: 0.0284 (0.0289) loss_rec_all: 0.0645 (0.0650) loss_rec_sfr: 0.0746 (0.0948) loss_cl: -0.3675 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [07:06:11.543468] Epoch: [135] [520/850] eta: 0:04:46 lr: 0.002307 loss: 0.0269 (0.0289) loss_rec_all: 0.0632 (0.0650) loss_rec_sfr: 0.0991 (0.0948) loss_cl: -0.3673 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [07:06:28.766566] Epoch: [135] [540/850] eta: 0:04:28 lr: 0.002307 loss: 0.0279 (0.0289) loss_rec_all: 0.0639 (0.0649) loss_rec_sfr: 0.0925 (0.0949) loss_cl: -0.3674 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [07:06:46.014808] Epoch: [135] [560/850] eta: 0:04:11 lr: 0.002307 loss: 0.0283 (0.0289) loss_rec_all: 0.0643 (0.0649) loss_rec_sfr: 0.1001 (0.0951) loss_cl: -0.3676 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [07:07:03.219632] Epoch: [135] [580/850] eta: 0:03:54 lr: 0.002307 loss: 0.0288 (0.0289) loss_rec_all: 0.0648 (0.0650) loss_rec_sfr: 0.0918 (0.0951) loss_cl: -0.3679 (-0.3674) time: 0.8602 data: 0.0002 max mem: 29859 [07:07:20.464670] Epoch: [135] [600/850] eta: 0:03:36 lr: 0.002307 loss: 0.0292 (0.0289) loss_rec_all: 0.0650 (0.0650) loss_rec_sfr: 0.0978 (0.0953) loss_cl: -0.3677 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [07:07:37.684432] Epoch: [135] [620/850] eta: 0:03:19 lr: 0.002307 loss: 0.0270 (0.0289) loss_rec_all: 0.0630 (0.0650) loss_rec_sfr: 0.0932 (0.0951) loss_cl: -0.3674 (-0.3674) time: 0.8609 data: 0.0002 max mem: 29859 [07:07:54.923005] Epoch: [135] [640/850] eta: 0:03:01 lr: 0.002307 loss: 0.0282 (0.0289) loss_rec_all: 0.0644 (0.0650) loss_rec_sfr: 0.0729 (0.0946) loss_cl: -0.3669 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [07:08:12.139801] Epoch: [135] [660/850] eta: 0:02:44 lr: 0.002307 loss: 0.0276 (0.0289) loss_rec_all: 0.0636 (0.0650) loss_rec_sfr: 0.0983 (0.0946) loss_cl: -0.3665 (-0.3673) time: 0.8608 data: 0.0002 max mem: 29859 [07:08:29.380919] Epoch: [135] [680/850] eta: 0:02:27 lr: 0.002307 loss: 0.0267 (0.0289) loss_rec_all: 0.0626 (0.0649) loss_rec_sfr: 0.0769 (0.0944) loss_cl: -0.3664 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [07:08:46.591850] Epoch: [135] [700/850] eta: 0:02:09 lr: 0.002307 loss: 0.0276 (0.0288) loss_rec_all: 0.0634 (0.0649) loss_rec_sfr: 0.0966 (0.0945) loss_cl: -0.3670 (-0.3673) time: 0.8605 data: 0.0002 max mem: 29859 [07:09:03.850882] Epoch: [135] [720/850] eta: 0:01:52 lr: 0.002307 loss: 0.0278 (0.0288) loss_rec_all: 0.0636 (0.0649) loss_rec_sfr: 0.0992 (0.0946) loss_cl: -0.3675 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [07:09:21.053066] Epoch: [135] [740/850] eta: 0:01:35 lr: 0.002307 loss: 0.0283 (0.0289) loss_rec_all: 0.0642 (0.0649) loss_rec_sfr: 0.0936 (0.0946) loss_cl: -0.3677 (-0.3673) time: 0.8601 data: 0.0002 max mem: 29859 [07:09:38.321679] Epoch: [135] [760/850] eta: 0:01:17 lr: 0.002307 loss: 0.0281 (0.0289) loss_rec_all: 0.0638 (0.0649) loss_rec_sfr: 0.0938 (0.0946) loss_cl: -0.3676 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [07:09:55.522446] Epoch: [135] [780/850] eta: 0:01:00 lr: 0.002307 loss: 0.0301 (0.0289) loss_rec_all: 0.0663 (0.0650) loss_rec_sfr: 0.0890 (0.0946) loss_cl: -0.3674 (-0.3673) time: 0.8600 data: 0.0002 max mem: 29859 [07:10:12.759227] Epoch: [135] [800/850] eta: 0:00:43 lr: 0.002307 loss: 0.0291 (0.0290) loss_rec_all: 0.0653 (0.0650) loss_rec_sfr: 0.0788 (0.0944) loss_cl: -0.3668 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [07:10:29.957720] Epoch: [135] [820/850] eta: 0:00:25 lr: 0.002307 loss: 0.0287 (0.0290) loss_rec_all: 0.0648 (0.0651) loss_rec_sfr: 0.0817 (0.0946) loss_cl: -0.3668 (-0.3673) time: 0.8599 data: 0.0002 max mem: 29859 [07:10:47.185149] Epoch: [135] [840/850] eta: 0:00:08 lr: 0.002307 loss: 0.0297 (0.0290) loss_rec_all: 0.0654 (0.0651) loss_rec_sfr: 0.0936 (0.0948) loss_cl: -0.3668 (-0.3673) time: 0.8613 data: 0.0004 max mem: 29859 [07:10:54.917588] Epoch: [135] [849/850] eta: 0:00:00 lr: 0.002307 loss: 0.0288 (0.0290) loss_rec_all: 0.0649 (0.0651) loss_rec_sfr: 0.0769 (0.0947) loss_cl: -0.3669 (-0.3673) time: 0.8608 data: 0.0003 max mem: 29859 [07:10:55.039686] Epoch: [135] Total time: 0:12:15 (0.8654 s / it) [07:10:55.048303] Averaged stats: lr: 0.002307 loss: 0.0288 (0.0289) loss_rec_all: 0.0649 (0.0650) loss_rec_sfr: 0.0769 (0.0934) loss_cl: -0.3669 (-0.3672) [07:10:55.058642] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [07:10:59.140036] Epoch: [136] [ 0/850] eta: 0:57:48 lr: 0.002307 loss: 0.0286 (0.0286) loss_rec_all: 0.0644 (0.0644) loss_rec_sfr: 0.1358 (0.1358) loss_cl: -0.3671 (-0.3671) time: 4.0806 data: 2.3808 max mem: 29859 [07:11:16.337586] Epoch: [136] [ 20/850] eta: 0:14:00 lr: 0.002307 loss: 0.0267 (0.0278) loss_rec_all: 0.0629 (0.0638) loss_rec_sfr: 0.1065 (0.1018) loss_cl: -0.3671 (-0.3671) time: 0.8598 data: 0.0002 max mem: 29859 [07:11:33.559259] Epoch: [136] [ 40/850] eta: 0:12:40 lr: 0.002307 loss: 0.0267 (0.0275) loss_rec_all: 0.0629 (0.0635) loss_rec_sfr: 0.0964 (0.1005) loss_cl: -0.3668 (-0.3669) time: 0.8610 data: 0.0001 max mem: 29859 [07:11:50.752850] Epoch: [136] [ 60/850] eta: 0:12:01 lr: 0.002307 loss: 0.0273 (0.0276) loss_rec_all: 0.0630 (0.0636) loss_rec_sfr: 0.0772 (0.0959) loss_cl: -0.3670 (-0.3670) time: 0.8596 data: 0.0001 max mem: 29859 [07:12:08.000781] Epoch: [136] [ 80/850] eta: 0:11:33 lr: 0.002307 loss: 0.0285 (0.0282) loss_rec_all: 0.0647 (0.0643) loss_rec_sfr: 0.0980 (0.0952) loss_cl: -0.3674 (-0.3671) time: 0.8624 data: 0.0002 max mem: 29859 [07:12:25.196000] Epoch: [136] [100/850] eta: 0:11:09 lr: 0.002307 loss: 0.0271 (0.0282) loss_rec_all: 0.0635 (0.0642) loss_rec_sfr: 0.0669 (0.0949) loss_cl: -0.3678 (-0.3672) time: 0.8597 data: 0.0001 max mem: 29859 [07:12:42.451117] Epoch: [136] [120/850] eta: 0:10:47 lr: 0.002306 loss: 0.0269 (0.0281) loss_rec_all: 0.0632 (0.0642) loss_rec_sfr: 0.0669 (0.0925) loss_cl: -0.3676 (-0.3673) time: 0.8627 data: 0.0001 max mem: 29859 [07:12:59.643689] Epoch: [136] [140/850] eta: 0:10:27 lr: 0.002306 loss: 0.0255 (0.0279) loss_rec_all: 0.0617 (0.0640) loss_rec_sfr: 0.1070 (0.0938) loss_cl: -0.3673 (-0.3673) time: 0.8596 data: 0.0001 max mem: 29859 [07:13:16.883817] Epoch: [136] [160/850] eta: 0:10:07 lr: 0.002306 loss: 0.0276 (0.0281) loss_rec_all: 0.0636 (0.0642) loss_rec_sfr: 0.0979 (0.0932) loss_cl: -0.3678 (-0.3674) time: 0.8620 data: 0.0001 max mem: 29859 [07:13:34.085077] Epoch: [136] [180/850] eta: 0:09:48 lr: 0.002306 loss: 0.0311 (0.0286) loss_rec_all: 0.0672 (0.0647) loss_rec_sfr: 0.0946 (0.0941) loss_cl: -0.3676 (-0.3674) time: 0.8600 data: 0.0001 max mem: 29859 [07:13:51.324739] Epoch: [136] [200/850] eta: 0:09:29 lr: 0.002306 loss: 0.0321 (0.0290) loss_rec_all: 0.0679 (0.0651) loss_rec_sfr: 0.1143 (0.0960) loss_cl: -0.3673 (-0.3674) time: 0.8619 data: 0.0001 max mem: 29859 [07:14:08.511515] Epoch: [136] [220/850] eta: 0:09:11 lr: 0.002306 loss: 0.0304 (0.0292) loss_rec_all: 0.0663 (0.0653) loss_rec_sfr: 0.1059 (0.0963) loss_cl: -0.3671 (-0.3673) time: 0.8593 data: 0.0001 max mem: 29859 [07:14:25.772581] Epoch: [136] [240/850] eta: 0:08:53 lr: 0.002306 loss: 0.0308 (0.0294) loss_rec_all: 0.0668 (0.0654) loss_rec_sfr: 0.1005 (0.0970) loss_cl: -0.3670 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [07:14:42.965440] Epoch: [136] [260/850] eta: 0:08:35 lr: 0.002306 loss: 0.0275 (0.0294) loss_rec_all: 0.0638 (0.0654) loss_rec_sfr: 0.0762 (0.0966) loss_cl: -0.3672 (-0.3673) time: 0.8596 data: 0.0001 max mem: 29859 [07:15:00.198667] Epoch: [136] [280/850] eta: 0:08:17 lr: 0.002306 loss: 0.0278 (0.0293) loss_rec_all: 0.0637 (0.0654) loss_rec_sfr: 0.0814 (0.0965) loss_cl: -0.3670 (-0.3673) time: 0.8616 data: 0.0001 max mem: 29859 [07:15:17.402365] Epoch: [136] [300/850] eta: 0:07:59 lr: 0.002306 loss: 0.0264 (0.0292) loss_rec_all: 0.0627 (0.0653) loss_rec_sfr: 0.0725 (0.0957) loss_cl: -0.3674 (-0.3673) time: 0.8601 data: 0.0002 max mem: 29859 [07:15:34.666116] Epoch: [136] [320/850] eta: 0:07:41 lr: 0.002306 loss: 0.0276 (0.0291) loss_rec_all: 0.0636 (0.0652) loss_rec_sfr: 0.0843 (0.0956) loss_cl: -0.3679 (-0.3673) time: 0.8631 data: 0.0001 max mem: 29859 [07:15:51.891866] Epoch: [136] [340/850] eta: 0:07:23 lr: 0.002306 loss: 0.0253 (0.0290) loss_rec_all: 0.0616 (0.0650) loss_rec_sfr: 0.0642 (0.0948) loss_cl: -0.3678 (-0.3673) time: 0.8612 data: 0.0001 max mem: 29859 [07:16:09.149762] Epoch: [136] [360/850] eta: 0:07:06 lr: 0.002306 loss: 0.0264 (0.0288) loss_rec_all: 0.0623 (0.0649) loss_rec_sfr: 0.0718 (0.0945) loss_cl: -0.3672 (-0.3673) time: 0.8629 data: 0.0001 max mem: 29859 [07:16:26.340554] Epoch: [136] [380/850] eta: 0:06:48 lr: 0.002306 loss: 0.0250 (0.0287) loss_rec_all: 0.0612 (0.0648) loss_rec_sfr: 0.0935 (0.0945) loss_cl: -0.3668 (-0.3673) time: 0.8595 data: 0.0001 max mem: 29859 [07:16:43.576962] Epoch: [136] [400/850] eta: 0:06:31 lr: 0.002306 loss: 0.0282 (0.0287) loss_rec_all: 0.0645 (0.0648) loss_rec_sfr: 0.0948 (0.0943) loss_cl: -0.3666 (-0.3673) time: 0.8618 data: 0.0001 max mem: 29859 [07:17:00.775066] Epoch: [136] [420/850] eta: 0:06:13 lr: 0.002306 loss: 0.0281 (0.0287) loss_rec_all: 0.0637 (0.0647) loss_rec_sfr: 0.0984 (0.0946) loss_cl: -0.3663 (-0.3672) time: 0.8599 data: 0.0001 max mem: 29859 [07:17:18.009166] Epoch: [136] [440/850] eta: 0:05:56 lr: 0.002306 loss: 0.0279 (0.0287) loss_rec_all: 0.0638 (0.0647) loss_rec_sfr: 0.0921 (0.0946) loss_cl: -0.3675 (-0.3672) time: 0.8617 data: 0.0001 max mem: 29859 [07:17:35.218786] Epoch: [136] [460/850] eta: 0:05:38 lr: 0.002306 loss: 0.0274 (0.0286) loss_rec_all: 0.0636 (0.0647) loss_rec_sfr: 0.0766 (0.0944) loss_cl: -0.3676 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [07:17:52.451607] Epoch: [136] [480/850] eta: 0:05:21 lr: 0.002306 loss: 0.0293 (0.0287) loss_rec_all: 0.0656 (0.0647) loss_rec_sfr: 0.0947 (0.0948) loss_cl: -0.3672 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [07:18:09.650282] Epoch: [136] [500/850] eta: 0:05:03 lr: 0.002306 loss: 0.0281 (0.0287) loss_rec_all: 0.0643 (0.0647) loss_rec_sfr: 0.0983 (0.0949) loss_cl: -0.3670 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [07:18:26.895929] Epoch: [136] [520/850] eta: 0:04:46 lr: 0.002306 loss: 0.0269 (0.0287) loss_rec_all: 0.0631 (0.0647) loss_rec_sfr: 0.0813 (0.0947) loss_cl: -0.3668 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [07:18:44.097975] Epoch: [136] [540/850] eta: 0:04:28 lr: 0.002306 loss: 0.0271 (0.0286) loss_rec_all: 0.0632 (0.0647) loss_rec_sfr: 0.0766 (0.0946) loss_cl: -0.3671 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [07:19:01.338523] Epoch: [136] [560/850] eta: 0:04:11 lr: 0.002305 loss: 0.0294 (0.0287) loss_rec_all: 0.0656 (0.0647) loss_rec_sfr: 0.1006 (0.0946) loss_cl: -0.3676 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [07:19:18.538550] Epoch: [136] [580/850] eta: 0:03:53 lr: 0.002305 loss: 0.0303 (0.0288) loss_rec_all: 0.0663 (0.0648) loss_rec_sfr: 0.1041 (0.0950) loss_cl: -0.3677 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [07:19:35.777765] Epoch: [136] [600/850] eta: 0:03:36 lr: 0.002305 loss: 0.0293 (0.0288) loss_rec_all: 0.0653 (0.0649) loss_rec_sfr: 0.1122 (0.0955) loss_cl: -0.3677 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [07:19:53.004314] Epoch: [136] [620/850] eta: 0:03:19 lr: 0.002305 loss: 0.0290 (0.0289) loss_rec_all: 0.0652 (0.0649) loss_rec_sfr: 0.0959 (0.0956) loss_cl: -0.3674 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [07:20:10.234670] Epoch: [136] [640/850] eta: 0:03:01 lr: 0.002305 loss: 0.0282 (0.0289) loss_rec_all: 0.0643 (0.0649) loss_rec_sfr: 0.0933 (0.0957) loss_cl: -0.3672 (-0.3673) time: 0.8615 data: 0.0001 max mem: 29859 [07:20:27.448098] Epoch: [136] [660/850] eta: 0:02:44 lr: 0.002305 loss: 0.0266 (0.0288) loss_rec_all: 0.0629 (0.0649) loss_rec_sfr: 0.0735 (0.0955) loss_cl: -0.3671 (-0.3673) time: 0.8606 data: 0.0002 max mem: 29859 [07:20:44.690413] Epoch: [136] [680/850] eta: 0:02:27 lr: 0.002305 loss: 0.0265 (0.0288) loss_rec_all: 0.0623 (0.0649) loss_rec_sfr: 0.0804 (0.0953) loss_cl: -0.3673 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [07:21:01.904758] Epoch: [136] [700/850] eta: 0:02:09 lr: 0.002305 loss: 0.0273 (0.0288) loss_rec_all: 0.0634 (0.0648) loss_rec_sfr: 0.0793 (0.0952) loss_cl: -0.3678 (-0.3673) time: 0.8607 data: 0.0002 max mem: 29859 [07:21:19.163582] Epoch: [136] [720/850] eta: 0:01:52 lr: 0.002305 loss: 0.0265 (0.0288) loss_rec_all: 0.0628 (0.0648) loss_rec_sfr: 0.0678 (0.0949) loss_cl: -0.3682 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [07:21:36.372839] Epoch: [136] [740/850] eta: 0:01:35 lr: 0.002305 loss: 0.0276 (0.0287) loss_rec_all: 0.0639 (0.0648) loss_rec_sfr: 0.0711 (0.0947) loss_cl: -0.3677 (-0.3673) time: 0.8604 data: 0.0002 max mem: 29859 [07:21:53.606755] Epoch: [136] [760/850] eta: 0:01:17 lr: 0.002305 loss: 0.0290 (0.0288) loss_rec_all: 0.0651 (0.0648) loss_rec_sfr: 0.0965 (0.0947) loss_cl: -0.3673 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [07:22:10.825914] Epoch: [136] [780/850] eta: 0:01:00 lr: 0.002305 loss: 0.0289 (0.0288) loss_rec_all: 0.0647 (0.0648) loss_rec_sfr: 0.0982 (0.0950) loss_cl: -0.3670 (-0.3673) time: 0.8609 data: 0.0002 max mem: 29859 [07:22:28.062316] Epoch: [136] [800/850] eta: 0:00:43 lr: 0.002305 loss: 0.0287 (0.0288) loss_rec_all: 0.0650 (0.0649) loss_rec_sfr: 0.0701 (0.0950) loss_cl: -0.3671 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [07:22:45.260088] Epoch: [136] [820/850] eta: 0:00:25 lr: 0.002305 loss: 0.0281 (0.0288) loss_rec_all: 0.0641 (0.0649) loss_rec_sfr: 0.1001 (0.0953) loss_cl: -0.3670 (-0.3673) time: 0.8598 data: 0.0002 max mem: 29859 [07:23:02.509957] Epoch: [136] [840/850] eta: 0:00:08 lr: 0.002305 loss: 0.0279 (0.0288) loss_rec_all: 0.0642 (0.0649) loss_rec_sfr: 0.0762 (0.0951) loss_cl: -0.3670 (-0.3673) time: 0.8624 data: 0.0005 max mem: 29859 [07:23:10.247261] Epoch: [136] [849/850] eta: 0:00:00 lr: 0.002305 loss: 0.0292 (0.0288) loss_rec_all: 0.0652 (0.0649) loss_rec_sfr: 0.0762 (0.0952) loss_cl: -0.3671 (-0.3673) time: 0.8618 data: 0.0005 max mem: 29859 [07:23:10.406018] Epoch: [136] Total time: 0:12:15 (0.8651 s / it) [07:23:10.408422] Averaged stats: lr: 0.002305 loss: 0.0292 (0.0289) loss_rec_all: 0.0652 (0.0649) loss_rec_sfr: 0.0762 (0.0938) loss_cl: -0.3671 (-0.3672) [07:23:10.421184] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [07:23:14.761021] Epoch: [137] [ 0/850] eta: 1:01:28 lr: 0.002305 loss: 0.0331 (0.0331) loss_rec_all: 0.0689 (0.0689) loss_rec_sfr: 0.1384 (0.1384) loss_cl: -0.3680 (-0.3680) time: 4.3390 data: 3.3969 max mem: 29859 [07:23:31.928930] Epoch: [137] [ 20/850] eta: 0:14:09 lr: 0.002305 loss: 0.0313 (0.0332) loss_rec_all: 0.0673 (0.0692) loss_rec_sfr: 0.1042 (0.1027) loss_cl: -0.3671 (-0.3671) time: 0.8583 data: 0.0001 max mem: 29859 [07:23:49.194236] Epoch: [137] [ 40/850] eta: 0:12:45 lr: 0.002305 loss: 0.0293 (0.0319) loss_rec_all: 0.0653 (0.0679) loss_rec_sfr: 0.0911 (0.0997) loss_cl: -0.3671 (-0.3670) time: 0.8632 data: 0.0002 max mem: 29859 [07:24:06.383441] Epoch: [137] [ 60/850] eta: 0:12:04 lr: 0.002305 loss: 0.0290 (0.0312) loss_rec_all: 0.0649 (0.0672) loss_rec_sfr: 0.0826 (0.0985) loss_cl: -0.3676 (-0.3672) time: 0.8594 data: 0.0002 max mem: 29859 [07:24:23.646358] Epoch: [137] [ 80/850] eta: 0:11:36 lr: 0.002305 loss: 0.0276 (0.0305) loss_rec_all: 0.0637 (0.0666) loss_rec_sfr: 0.0759 (0.0965) loss_cl: -0.3676 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [07:24:40.847165] Epoch: [137] [100/850] eta: 0:11:11 lr: 0.002305 loss: 0.0263 (0.0300) loss_rec_all: 0.0626 (0.0660) loss_rec_sfr: 0.0788 (0.0950) loss_cl: -0.3674 (-0.3673) time: 0.8600 data: 0.0002 max mem: 29859 [07:24:58.093886] Epoch: [137] [120/850] eta: 0:10:49 lr: 0.002305 loss: 0.0266 (0.0295) loss_rec_all: 0.0625 (0.0656) loss_rec_sfr: 0.0967 (0.0951) loss_cl: -0.3673 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [07:25:15.303249] Epoch: [137] [140/850] eta: 0:10:28 lr: 0.002305 loss: 0.0255 (0.0291) loss_rec_all: 0.0617 (0.0651) loss_rec_sfr: 0.0664 (0.0941) loss_cl: -0.3670 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [07:25:32.550888] Epoch: [137] [160/850] eta: 0:10:09 lr: 0.002304 loss: 0.0256 (0.0286) loss_rec_all: 0.0615 (0.0647) loss_rec_sfr: 0.0769 (0.0938) loss_cl: -0.3667 (-0.3671) time: 0.8623 data: 0.0002 max mem: 29859 [07:25:49.753180] Epoch: [137] [180/850] eta: 0:09:49 lr: 0.002304 loss: 0.0277 (0.0287) loss_rec_all: 0.0639 (0.0647) loss_rec_sfr: 0.0964 (0.0957) loss_cl: -0.3673 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [07:26:07.014808] Epoch: [137] [200/850] eta: 0:09:31 lr: 0.002304 loss: 0.0274 (0.0286) loss_rec_all: 0.0634 (0.0647) loss_rec_sfr: 0.0968 (0.0954) loss_cl: -0.3670 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [07:26:24.224421] Epoch: [137] [220/850] eta: 0:09:12 lr: 0.002304 loss: 0.0285 (0.0287) loss_rec_all: 0.0645 (0.0647) loss_rec_sfr: 0.0919 (0.0951) loss_cl: -0.3671 (-0.3671) time: 0.8604 data: 0.0002 max mem: 29859 [07:26:41.469058] Epoch: [137] [240/850] eta: 0:08:54 lr: 0.002304 loss: 0.0320 (0.0289) loss_rec_all: 0.0676 (0.0649) loss_rec_sfr: 0.1090 (0.0968) loss_cl: -0.3673 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [07:26:58.719784] Epoch: [137] [260/850] eta: 0:08:36 lr: 0.002304 loss: 0.0299 (0.0290) loss_rec_all: 0.0658 (0.0650) loss_rec_sfr: 0.0991 (0.0970) loss_cl: -0.3677 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [07:27:15.957341] Epoch: [137] [280/850] eta: 0:08:18 lr: 0.002304 loss: 0.0297 (0.0291) loss_rec_all: 0.0658 (0.0651) loss_rec_sfr: 0.1017 (0.0978) loss_cl: -0.3677 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [07:27:33.184064] Epoch: [137] [300/850] eta: 0:08:00 lr: 0.002304 loss: 0.0278 (0.0290) loss_rec_all: 0.0637 (0.0651) loss_rec_sfr: 0.0700 (0.0973) loss_cl: -0.3681 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [07:27:50.435896] Epoch: [137] [320/850] eta: 0:07:42 lr: 0.002304 loss: 0.0278 (0.0290) loss_rec_all: 0.0640 (0.0651) loss_rec_sfr: 0.0912 (0.0974) loss_cl: -0.3679 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [07:28:07.651163] Epoch: [137] [340/850] eta: 0:07:24 lr: 0.002304 loss: 0.0278 (0.0290) loss_rec_all: 0.0636 (0.0650) loss_rec_sfr: 0.0981 (0.0974) loss_cl: -0.3669 (-0.3673) time: 0.8607 data: 0.0002 max mem: 29859 [07:28:24.897964] Epoch: [137] [360/850] eta: 0:07:06 lr: 0.002304 loss: 0.0254 (0.0289) loss_rec_all: 0.0617 (0.0649) loss_rec_sfr: 0.0732 (0.0965) loss_cl: -0.3667 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [07:28:42.099330] Epoch: [137] [380/850] eta: 0:06:49 lr: 0.002304 loss: 0.0280 (0.0289) loss_rec_all: 0.0637 (0.0649) loss_rec_sfr: 0.0948 (0.0963) loss_cl: -0.3664 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [07:28:59.357172] Epoch: [137] [400/850] eta: 0:06:31 lr: 0.002304 loss: 0.0301 (0.0289) loss_rec_all: 0.0661 (0.0650) loss_rec_sfr: 0.0993 (0.0964) loss_cl: -0.3668 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [07:29:16.565952] Epoch: [137] [420/850] eta: 0:06:13 lr: 0.002304 loss: 0.0276 (0.0289) loss_rec_all: 0.0638 (0.0650) loss_rec_sfr: 0.0956 (0.0961) loss_cl: -0.3673 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [07:29:33.822699] Epoch: [137] [440/850] eta: 0:05:56 lr: 0.002304 loss: 0.0265 (0.0289) loss_rec_all: 0.0627 (0.0649) loss_rec_sfr: 0.0666 (0.0954) loss_cl: -0.3672 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [07:29:51.034169] Epoch: [137] [460/850] eta: 0:05:38 lr: 0.002304 loss: 0.0252 (0.0288) loss_rec_all: 0.0616 (0.0648) loss_rec_sfr: 0.0662 (0.0946) loss_cl: -0.3676 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [07:30:08.302004] Epoch: [137] [480/850] eta: 0:05:21 lr: 0.002304 loss: 0.0273 (0.0288) loss_rec_all: 0.0635 (0.0648) loss_rec_sfr: 0.0900 (0.0943) loss_cl: -0.3678 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [07:30:25.508495] Epoch: [137] [500/850] eta: 0:05:03 lr: 0.002304 loss: 0.0255 (0.0287) loss_rec_all: 0.0618 (0.0648) loss_rec_sfr: 0.0681 (0.0940) loss_cl: -0.3680 (-0.3673) time: 0.8603 data: 0.0002 max mem: 29859 [07:30:42.788853] Epoch: [137] [520/850] eta: 0:04:46 lr: 0.002304 loss: 0.0253 (0.0286) loss_rec_all: 0.0617 (0.0647) loss_rec_sfr: 0.0660 (0.0936) loss_cl: -0.3674 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [07:30:59.986865] Epoch: [137] [540/850] eta: 0:04:29 lr: 0.002304 loss: 0.0273 (0.0286) loss_rec_all: 0.0631 (0.0647) loss_rec_sfr: 0.0982 (0.0937) loss_cl: -0.3674 (-0.3673) time: 0.8599 data: 0.0002 max mem: 29859 [07:31:17.241023] Epoch: [137] [560/850] eta: 0:04:11 lr: 0.002304 loss: 0.0263 (0.0286) loss_rec_all: 0.0623 (0.0646) loss_rec_sfr: 0.0960 (0.0938) loss_cl: -0.3668 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [07:31:34.464821] Epoch: [137] [580/850] eta: 0:03:54 lr: 0.002304 loss: 0.0287 (0.0286) loss_rec_all: 0.0650 (0.0647) loss_rec_sfr: 0.1001 (0.0940) loss_cl: -0.3674 (-0.3672) time: 0.8611 data: 0.0002 max mem: 29859 [07:31:51.714165] Epoch: [137] [600/850] eta: 0:03:36 lr: 0.002303 loss: 0.0320 (0.0288) loss_rec_all: 0.0679 (0.0648) loss_rec_sfr: 0.1012 (0.0945) loss_cl: -0.3668 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [07:32:08.927430] Epoch: [137] [620/850] eta: 0:03:19 lr: 0.002303 loss: 0.0293 (0.0288) loss_rec_all: 0.0654 (0.0649) loss_rec_sfr: 0.0727 (0.0942) loss_cl: -0.3667 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [07:32:26.184420] Epoch: [137] [640/850] eta: 0:03:02 lr: 0.002303 loss: 0.0297 (0.0289) loss_rec_all: 0.0657 (0.0649) loss_rec_sfr: 0.0763 (0.0943) loss_cl: -0.3663 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [07:32:43.388734] Epoch: [137] [660/850] eta: 0:02:44 lr: 0.002303 loss: 0.0285 (0.0289) loss_rec_all: 0.0648 (0.0649) loss_rec_sfr: 0.1132 (0.0947) loss_cl: -0.3671 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [07:33:00.653631] Epoch: [137] [680/850] eta: 0:02:27 lr: 0.002303 loss: 0.0286 (0.0289) loss_rec_all: 0.0650 (0.0650) loss_rec_sfr: 0.0697 (0.0944) loss_cl: -0.3677 (-0.3672) time: 0.8632 data: 0.0002 max mem: 29859 [07:33:17.858935] Epoch: [137] [700/850] eta: 0:02:09 lr: 0.002303 loss: 0.0284 (0.0289) loss_rec_all: 0.0647 (0.0650) loss_rec_sfr: 0.0950 (0.0946) loss_cl: -0.3677 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [07:33:35.106581] Epoch: [137] [720/850] eta: 0:01:52 lr: 0.002303 loss: 0.0264 (0.0289) loss_rec_all: 0.0627 (0.0649) loss_rec_sfr: 0.0725 (0.0944) loss_cl: -0.3674 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [07:33:52.325041] Epoch: [137] [740/850] eta: 0:01:35 lr: 0.002303 loss: 0.0283 (0.0289) loss_rec_all: 0.0643 (0.0649) loss_rec_sfr: 0.0988 (0.0946) loss_cl: -0.3672 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [07:34:09.586668] Epoch: [137] [760/850] eta: 0:01:17 lr: 0.002303 loss: 0.0273 (0.0289) loss_rec_all: 0.0633 (0.0649) loss_rec_sfr: 0.0982 (0.0947) loss_cl: -0.3672 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [07:34:26.785432] Epoch: [137] [780/850] eta: 0:01:00 lr: 0.002303 loss: 0.0283 (0.0289) loss_rec_all: 0.0639 (0.0649) loss_rec_sfr: 0.0782 (0.0948) loss_cl: -0.3677 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [07:34:44.045537] Epoch: [137] [800/850] eta: 0:00:43 lr: 0.002303 loss: 0.0266 (0.0288) loss_rec_all: 0.0624 (0.0649) loss_rec_sfr: 0.0788 (0.0948) loss_cl: -0.3671 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [07:35:01.243020] Epoch: [137] [820/850] eta: 0:00:25 lr: 0.002303 loss: 0.0258 (0.0288) loss_rec_all: 0.0621 (0.0648) loss_rec_sfr: 0.0685 (0.0945) loss_cl: -0.3675 (-0.3672) time: 0.8598 data: 0.0002 max mem: 29859 [07:35:18.499371] Epoch: [137] [840/850] eta: 0:00:08 lr: 0.002303 loss: 0.0278 (0.0288) loss_rec_all: 0.0640 (0.0649) loss_rec_sfr: 0.0998 (0.0945) loss_cl: -0.3669 (-0.3672) time: 0.8628 data: 0.0004 max mem: 29859 [07:35:26.257218] Epoch: [137] [849/850] eta: 0:00:00 lr: 0.002303 loss: 0.0272 (0.0288) loss_rec_all: 0.0632 (0.0648) loss_rec_sfr: 0.0998 (0.0946) loss_cl: -0.3669 (-0.3672) time: 0.8633 data: 0.0004 max mem: 29859 [07:35:26.406339] Epoch: [137] Total time: 0:12:15 (0.8659 s / it) [07:35:26.408766] Averaged stats: lr: 0.002303 loss: 0.0272 (0.0287) loss_rec_all: 0.0632 (0.0648) loss_rec_sfr: 0.0998 (0.0945) loss_cl: -0.3669 (-0.3672) [07:35:26.420644] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [07:35:30.577471] Epoch: [138] [ 0/850] eta: 0:58:52 lr: 0.002303 loss: 0.0263 (0.0263) loss_rec_all: 0.0622 (0.0622) loss_rec_sfr: 0.1079 (0.1079) loss_cl: -0.3667 (-0.3667) time: 4.1554 data: 2.8971 max mem: 29859 [07:35:47.743573] Epoch: [138] [ 20/850] eta: 0:14:02 lr: 0.002303 loss: 0.0261 (0.0265) loss_rec_all: 0.0620 (0.0626) loss_rec_sfr: 0.0729 (0.0891) loss_cl: -0.3672 (-0.3670) time: 0.8583 data: 0.0002 max mem: 29859 [07:36:04.995098] Epoch: [138] [ 40/850] eta: 0:12:42 lr: 0.002303 loss: 0.0268 (0.0270) loss_rec_all: 0.0630 (0.0630) loss_rec_sfr: 0.0764 (0.0912) loss_cl: -0.3670 (-0.3671) time: 0.8625 data: 0.0002 max mem: 29859 [07:36:22.199447] Epoch: [138] [ 60/850] eta: 0:12:02 lr: 0.002303 loss: 0.0264 (0.0270) loss_rec_all: 0.0625 (0.0631) loss_rec_sfr: 0.0992 (0.0933) loss_cl: -0.3673 (-0.3671) time: 0.8602 data: 0.0002 max mem: 29859 [07:36:39.442194] Epoch: [138] [ 80/850] eta: 0:11:34 lr: 0.002303 loss: 0.0260 (0.0271) loss_rec_all: 0.0622 (0.0632) loss_rec_sfr: 0.0938 (0.0928) loss_cl: -0.3671 (-0.3671) time: 0.8621 data: 0.0002 max mem: 29859 [07:36:56.654082] Epoch: [138] [100/850] eta: 0:11:10 lr: 0.002303 loss: 0.0265 (0.0273) loss_rec_all: 0.0626 (0.0634) loss_rec_sfr: 0.0846 (0.0929) loss_cl: -0.3667 (-0.3670) time: 0.8606 data: 0.0002 max mem: 29859 [07:37:13.907928] Epoch: [138] [120/850] eta: 0:10:48 lr: 0.002303 loss: 0.0264 (0.0273) loss_rec_all: 0.0628 (0.0634) loss_rec_sfr: 0.0796 (0.0918) loss_cl: -0.3674 (-0.3671) time: 0.8626 data: 0.0002 max mem: 29859 [07:37:31.109978] Epoch: [138] [140/850] eta: 0:10:27 lr: 0.002303 loss: 0.0287 (0.0276) loss_rec_all: 0.0645 (0.0637) loss_rec_sfr: 0.0755 (0.0928) loss_cl: -0.3676 (-0.3671) time: 0.8600 data: 0.0002 max mem: 29859 [07:37:48.362393] Epoch: [138] [160/850] eta: 0:10:08 lr: 0.002303 loss: 0.0277 (0.0278) loss_rec_all: 0.0637 (0.0639) loss_rec_sfr: 0.0743 (0.0926) loss_cl: -0.3680 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [07:38:05.579577] Epoch: [138] [180/850] eta: 0:09:49 lr: 0.002302 loss: 0.0288 (0.0279) loss_rec_all: 0.0647 (0.0640) loss_rec_sfr: 0.0949 (0.0928) loss_cl: -0.3676 (-0.3673) time: 0.8608 data: 0.0002 max mem: 29859 [07:38:22.821836] Epoch: [138] [200/850] eta: 0:09:30 lr: 0.002302 loss: 0.0270 (0.0279) loss_rec_all: 0.0629 (0.0640) loss_rec_sfr: 0.0927 (0.0934) loss_cl: -0.3668 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [07:38:40.072798] Epoch: [138] [220/850] eta: 0:09:12 lr: 0.002302 loss: 0.0258 (0.0278) loss_rec_all: 0.0620 (0.0639) loss_rec_sfr: 0.0798 (0.0927) loss_cl: -0.3664 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [07:38:57.305571] Epoch: [138] [240/850] eta: 0:08:53 lr: 0.002302 loss: 0.0270 (0.0278) loss_rec_all: 0.0630 (0.0639) loss_rec_sfr: 0.0738 (0.0926) loss_cl: -0.3660 (-0.3671) time: 0.8616 data: 0.0002 max mem: 29859 [07:39:14.521004] Epoch: [138] [260/850] eta: 0:08:35 lr: 0.002302 loss: 0.0262 (0.0278) loss_rec_all: 0.0625 (0.0639) loss_rec_sfr: 0.0971 (0.0929) loss_cl: -0.3669 (-0.3671) time: 0.8607 data: 0.0002 max mem: 29859 [07:39:31.762106] Epoch: [138] [280/850] eta: 0:08:17 lr: 0.002302 loss: 0.0257 (0.0278) loss_rec_all: 0.0621 (0.0638) loss_rec_sfr: 0.0748 (0.0930) loss_cl: -0.3681 (-0.3671) time: 0.8620 data: 0.0002 max mem: 29859 [07:39:48.968721] Epoch: [138] [300/850] eta: 0:07:59 lr: 0.002302 loss: 0.0254 (0.0277) loss_rec_all: 0.0617 (0.0638) loss_rec_sfr: 0.0723 (0.0926) loss_cl: -0.3686 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [07:40:06.208935] Epoch: [138] [320/850] eta: 0:07:41 lr: 0.002302 loss: 0.0290 (0.0279) loss_rec_all: 0.0647 (0.0640) loss_rec_sfr: 0.1009 (0.0932) loss_cl: -0.3679 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [07:40:23.428829] Epoch: [138] [340/850] eta: 0:07:24 lr: 0.002302 loss: 0.0282 (0.0279) loss_rec_all: 0.0642 (0.0640) loss_rec_sfr: 0.0753 (0.0934) loss_cl: -0.3673 (-0.3673) time: 0.8610 data: 0.0001 max mem: 29859 [07:40:40.666618] Epoch: [138] [360/850] eta: 0:07:06 lr: 0.002302 loss: 0.0275 (0.0280) loss_rec_all: 0.0636 (0.0640) loss_rec_sfr: 0.0721 (0.0931) loss_cl: -0.3666 (-0.3672) time: 0.8619 data: 0.0001 max mem: 29859 [07:40:57.878588] Epoch: [138] [380/850] eta: 0:06:48 lr: 0.002302 loss: 0.0277 (0.0281) loss_rec_all: 0.0637 (0.0641) loss_rec_sfr: 0.0747 (0.0930) loss_cl: -0.3668 (-0.3672) time: 0.8606 data: 0.0001 max mem: 29859 [07:41:15.116633] Epoch: [138] [400/850] eta: 0:06:31 lr: 0.002302 loss: 0.0265 (0.0280) loss_rec_all: 0.0627 (0.0641) loss_rec_sfr: 0.0674 (0.0927) loss_cl: -0.3671 (-0.3672) time: 0.8619 data: 0.0001 max mem: 29859 [07:41:32.318572] Epoch: [138] [420/850] eta: 0:06:13 lr: 0.002302 loss: 0.0265 (0.0280) loss_rec_all: 0.0627 (0.0641) loss_rec_sfr: 0.0738 (0.0923) loss_cl: -0.3676 (-0.3672) time: 0.8601 data: 0.0001 max mem: 29859 [07:41:49.576225] Epoch: [138] [440/850] eta: 0:05:56 lr: 0.002302 loss: 0.0281 (0.0280) loss_rec_all: 0.0642 (0.0641) loss_rec_sfr: 0.0931 (0.0924) loss_cl: -0.3680 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [07:42:06.777973] Epoch: [138] [460/850] eta: 0:05:38 lr: 0.002302 loss: 0.0284 (0.0281) loss_rec_all: 0.0643 (0.0642) loss_rec_sfr: 0.0935 (0.0924) loss_cl: -0.3673 (-0.3672) time: 0.8600 data: 0.0001 max mem: 29859 [07:42:24.037256] Epoch: [138] [480/850] eta: 0:05:21 lr: 0.002302 loss: 0.0274 (0.0281) loss_rec_all: 0.0634 (0.0642) loss_rec_sfr: 0.0702 (0.0922) loss_cl: -0.3673 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [07:42:41.238444] Epoch: [138] [500/850] eta: 0:05:03 lr: 0.002302 loss: 0.0274 (0.0281) loss_rec_all: 0.0635 (0.0641) loss_rec_sfr: 0.0962 (0.0923) loss_cl: -0.3669 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [07:42:58.484891] Epoch: [138] [520/850] eta: 0:04:46 lr: 0.002302 loss: 0.0281 (0.0281) loss_rec_all: 0.0640 (0.0641) loss_rec_sfr: 0.0967 (0.0924) loss_cl: -0.3672 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [07:43:15.692007] Epoch: [138] [540/850] eta: 0:04:28 lr: 0.002302 loss: 0.0285 (0.0281) loss_rec_all: 0.0643 (0.0641) loss_rec_sfr: 0.0719 (0.0922) loss_cl: -0.3673 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [07:43:32.942184] Epoch: [138] [560/850] eta: 0:04:11 lr: 0.002302 loss: 0.0271 (0.0280) loss_rec_all: 0.0631 (0.0641) loss_rec_sfr: 0.0943 (0.0923) loss_cl: -0.3670 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [07:43:50.146140] Epoch: [138] [580/850] eta: 0:03:54 lr: 0.002302 loss: 0.0272 (0.0280) loss_rec_all: 0.0631 (0.0641) loss_rec_sfr: 0.0756 (0.0923) loss_cl: -0.3668 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [07:44:07.412377] Epoch: [138] [600/850] eta: 0:03:36 lr: 0.002301 loss: 0.0288 (0.0281) loss_rec_all: 0.0646 (0.0641) loss_rec_sfr: 0.0991 (0.0926) loss_cl: -0.3673 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [07:44:24.616302] Epoch: [138] [620/850] eta: 0:03:19 lr: 0.002301 loss: 0.0267 (0.0281) loss_rec_all: 0.0628 (0.0641) loss_rec_sfr: 0.0915 (0.0925) loss_cl: -0.3676 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [07:44:41.888809] Epoch: [138] [640/850] eta: 0:03:01 lr: 0.002301 loss: 0.0276 (0.0280) loss_rec_all: 0.0637 (0.0641) loss_rec_sfr: 0.1117 (0.0929) loss_cl: -0.3674 (-0.3672) time: 0.8636 data: 0.0002 max mem: 29859 [07:44:59.097664] Epoch: [138] [660/850] eta: 0:02:44 lr: 0.002301 loss: 0.0289 (0.0281) loss_rec_all: 0.0646 (0.0642) loss_rec_sfr: 0.0980 (0.0931) loss_cl: -0.3672 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [07:45:16.339335] Epoch: [138] [680/850] eta: 0:02:27 lr: 0.002301 loss: 0.0323 (0.0282) loss_rec_all: 0.0679 (0.0643) loss_rec_sfr: 0.1078 (0.0936) loss_cl: -0.3672 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [07:45:33.546295] Epoch: [138] [700/850] eta: 0:02:09 lr: 0.002301 loss: 0.0293 (0.0283) loss_rec_all: 0.0651 (0.0644) loss_rec_sfr: 0.0752 (0.0935) loss_cl: -0.3677 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [07:45:50.806299] Epoch: [138] [720/850] eta: 0:01:52 lr: 0.002301 loss: 0.0287 (0.0283) loss_rec_all: 0.0649 (0.0644) loss_rec_sfr: 0.0852 (0.0935) loss_cl: -0.3678 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [07:46:08.007057] Epoch: [138] [740/850] eta: 0:01:35 lr: 0.002301 loss: 0.0295 (0.0284) loss_rec_all: 0.0654 (0.0644) loss_rec_sfr: 0.0810 (0.0935) loss_cl: -0.3674 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [07:46:25.254683] Epoch: [138] [760/850] eta: 0:01:17 lr: 0.002301 loss: 0.0281 (0.0284) loss_rec_all: 0.0643 (0.0644) loss_rec_sfr: 0.0695 (0.0933) loss_cl: -0.3679 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [07:46:42.476074] Epoch: [138] [780/850] eta: 0:01:00 lr: 0.002301 loss: 0.0272 (0.0284) loss_rec_all: 0.0634 (0.0644) loss_rec_sfr: 0.0970 (0.0933) loss_cl: -0.3678 (-0.3672) time: 0.8610 data: 0.0002 max mem: 29859 [07:46:59.729273] Epoch: [138] [800/850] eta: 0:00:43 lr: 0.002301 loss: 0.0263 (0.0283) loss_rec_all: 0.0626 (0.0644) loss_rec_sfr: 0.0663 (0.0930) loss_cl: -0.3671 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [07:47:16.934233] Epoch: [138] [820/850] eta: 0:00:25 lr: 0.002301 loss: 0.0266 (0.0283) loss_rec_all: 0.0627 (0.0644) loss_rec_sfr: 0.0754 (0.0929) loss_cl: -0.3664 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [07:47:34.172379] Epoch: [138] [840/850] eta: 0:00:08 lr: 0.002301 loss: 0.0274 (0.0283) loss_rec_all: 0.0634 (0.0644) loss_rec_sfr: 0.0948 (0.0929) loss_cl: -0.3669 (-0.3672) time: 0.8619 data: 0.0005 max mem: 29859 [07:47:41.924281] Epoch: [138] [849/850] eta: 0:00:00 lr: 0.002301 loss: 0.0265 (0.0283) loss_rec_all: 0.0628 (0.0644) loss_rec_sfr: 0.0948 (0.0927) loss_cl: -0.3672 (-0.3672) time: 0.8622 data: 0.0004 max mem: 29859 [07:47:42.045663] Epoch: [138] Total time: 0:12:15 (0.8654 s / it) [07:47:42.088798] Averaged stats: lr: 0.002301 loss: 0.0265 (0.0283) loss_rec_all: 0.0628 (0.0644) loss_rec_sfr: 0.0948 (0.0922) loss_cl: -0.3672 (-0.3672) [07:47:42.094583] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [07:47:46.243271] Epoch: [139] [ 0/850] eta: 0:58:45 lr: 0.002301 loss: 0.0287 (0.0287) loss_rec_all: 0.0649 (0.0649) loss_rec_sfr: 0.0896 (0.0896) loss_cl: -0.3682 (-0.3682) time: 4.1477 data: 3.0026 max mem: 29859 [07:48:03.426034] Epoch: [139] [ 20/850] eta: 0:14:03 lr: 0.002301 loss: 0.0269 (0.0278) loss_rec_all: 0.0629 (0.0640) loss_rec_sfr: 0.0666 (0.0820) loss_cl: -0.3675 (-0.3674) time: 0.8591 data: 0.0002 max mem: 29859 [07:48:20.654652] Epoch: [139] [ 40/850] eta: 0:12:41 lr: 0.002301 loss: 0.0288 (0.0288) loss_rec_all: 0.0650 (0.0649) loss_rec_sfr: 0.0736 (0.0834) loss_cl: -0.3675 (-0.3675) time: 0.8614 data: 0.0002 max mem: 29859 [07:48:37.888644] Epoch: [139] [ 60/850] eta: 0:12:02 lr: 0.002301 loss: 0.0296 (0.0291) loss_rec_all: 0.0655 (0.0652) loss_rec_sfr: 0.0793 (0.0874) loss_cl: -0.3673 (-0.3675) time: 0.8617 data: 0.0002 max mem: 29859 [07:48:55.121971] Epoch: [139] [ 80/850] eta: 0:11:34 lr: 0.002301 loss: 0.0292 (0.0296) loss_rec_all: 0.0654 (0.0657) loss_rec_sfr: 0.0724 (0.0892) loss_cl: -0.3667 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [07:49:12.331118] Epoch: [139] [100/850] eta: 0:11:10 lr: 0.002301 loss: 0.0291 (0.0298) loss_rec_all: 0.0653 (0.0659) loss_rec_sfr: 0.0719 (0.0890) loss_cl: -0.3667 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [07:49:29.578962] Epoch: [139] [120/850] eta: 0:10:48 lr: 0.002301 loss: 0.0283 (0.0296) loss_rec_all: 0.0644 (0.0657) loss_rec_sfr: 0.0784 (0.0890) loss_cl: -0.3677 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [07:49:46.798738] Epoch: [139] [140/850] eta: 0:10:27 lr: 0.002301 loss: 0.0277 (0.0295) loss_rec_all: 0.0640 (0.0657) loss_rec_sfr: 0.0764 (0.0879) loss_cl: -0.3679 (-0.3673) time: 0.8609 data: 0.0002 max mem: 29859 [07:50:04.053398] Epoch: [139] [160/850] eta: 0:10:08 lr: 0.002301 loss: 0.0312 (0.0298) loss_rec_all: 0.0669 (0.0659) loss_rec_sfr: 0.1005 (0.0898) loss_cl: -0.3677 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [07:50:21.284210] Epoch: [139] [180/850] eta: 0:09:49 lr: 0.002301 loss: 0.0278 (0.0297) loss_rec_all: 0.0640 (0.0658) loss_rec_sfr: 0.0967 (0.0901) loss_cl: -0.3674 (-0.3674) time: 0.8615 data: 0.0002 max mem: 29859 [07:50:38.527404] Epoch: [139] [200/850] eta: 0:09:30 lr: 0.002300 loss: 0.0264 (0.0295) loss_rec_all: 0.0625 (0.0656) loss_rec_sfr: 0.0927 (0.0903) loss_cl: -0.3670 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [07:50:55.752802] Epoch: [139] [220/850] eta: 0:09:12 lr: 0.002300 loss: 0.0277 (0.0295) loss_rec_all: 0.0639 (0.0656) loss_rec_sfr: 0.0766 (0.0903) loss_cl: -0.3665 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [07:51:12.981877] Epoch: [139] [240/850] eta: 0:08:53 lr: 0.002300 loss: 0.0265 (0.0294) loss_rec_all: 0.0627 (0.0654) loss_rec_sfr: 0.0951 (0.0909) loss_cl: -0.3668 (-0.3672) time: 0.8614 data: 0.0001 max mem: 29859 [07:51:30.192248] Epoch: [139] [260/850] eta: 0:08:35 lr: 0.002300 loss: 0.0271 (0.0293) loss_rec_all: 0.0631 (0.0654) loss_rec_sfr: 0.0734 (0.0907) loss_cl: -0.3676 (-0.3673) time: 0.8605 data: 0.0001 max mem: 29859 [07:51:47.459079] Epoch: [139] [280/850] eta: 0:08:17 lr: 0.002300 loss: 0.0270 (0.0292) loss_rec_all: 0.0633 (0.0653) loss_rec_sfr: 0.0743 (0.0905) loss_cl: -0.3679 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [07:52:04.657405] Epoch: [139] [300/850] eta: 0:07:59 lr: 0.002300 loss: 0.0268 (0.0291) loss_rec_all: 0.0631 (0.0652) loss_rec_sfr: 0.0907 (0.0908) loss_cl: -0.3681 (-0.3674) time: 0.8599 data: 0.0001 max mem: 29859 [07:52:21.908060] Epoch: [139] [320/850] eta: 0:07:41 lr: 0.002300 loss: 0.0268 (0.0291) loss_rec_all: 0.0631 (0.0652) loss_rec_sfr: 0.0946 (0.0911) loss_cl: -0.3675 (-0.3674) time: 0.8625 data: 0.0001 max mem: 29859 [07:52:39.103240] Epoch: [139] [340/850] eta: 0:07:24 lr: 0.002300 loss: 0.0278 (0.0290) loss_rec_all: 0.0636 (0.0651) loss_rec_sfr: 0.0970 (0.0918) loss_cl: -0.3670 (-0.3673) time: 0.8597 data: 0.0001 max mem: 29859 [07:52:56.337379] Epoch: [139] [360/850] eta: 0:07:06 lr: 0.002300 loss: 0.0267 (0.0289) loss_rec_all: 0.0628 (0.0650) loss_rec_sfr: 0.0775 (0.0919) loss_cl: -0.3669 (-0.3673) time: 0.8617 data: 0.0001 max mem: 29859 [07:53:13.547079] Epoch: [139] [380/850] eta: 0:06:48 lr: 0.002300 loss: 0.0284 (0.0290) loss_rec_all: 0.0646 (0.0651) loss_rec_sfr: 0.1056 (0.0928) loss_cl: -0.3670 (-0.3673) time: 0.8604 data: 0.0001 max mem: 29859 [07:53:30.785201] Epoch: [139] [400/850] eta: 0:06:31 lr: 0.002300 loss: 0.0264 (0.0289) loss_rec_all: 0.0626 (0.0650) loss_rec_sfr: 0.0679 (0.0924) loss_cl: -0.3673 (-0.3673) time: 0.8619 data: 0.0001 max mem: 29859 [07:53:47.981105] Epoch: [139] [420/850] eta: 0:06:13 lr: 0.002300 loss: 0.0267 (0.0288) loss_rec_all: 0.0626 (0.0649) loss_rec_sfr: 0.0685 (0.0921) loss_cl: -0.3677 (-0.3673) time: 0.8598 data: 0.0001 max mem: 29859 [07:54:05.235031] Epoch: [139] [440/850] eta: 0:05:56 lr: 0.002300 loss: 0.0271 (0.0288) loss_rec_all: 0.0631 (0.0649) loss_rec_sfr: 0.0952 (0.0922) loss_cl: -0.3670 (-0.3673) time: 0.8627 data: 0.0001 max mem: 29859 [07:54:22.434401] Epoch: [139] [460/850] eta: 0:05:38 lr: 0.002300 loss: 0.0291 (0.0288) loss_rec_all: 0.0649 (0.0649) loss_rec_sfr: 0.1075 (0.0930) loss_cl: -0.3669 (-0.3673) time: 0.8599 data: 0.0001 max mem: 29859 [07:54:39.671973] Epoch: [139] [480/850] eta: 0:05:21 lr: 0.002300 loss: 0.0272 (0.0288) loss_rec_all: 0.0635 (0.0649) loss_rec_sfr: 0.0961 (0.0932) loss_cl: -0.3670 (-0.3673) time: 0.8618 data: 0.0001 max mem: 29859 [07:54:56.871597] Epoch: [139] [500/850] eta: 0:05:03 lr: 0.002300 loss: 0.0272 (0.0288) loss_rec_all: 0.0633 (0.0649) loss_rec_sfr: 0.0750 (0.0930) loss_cl: -0.3668 (-0.3672) time: 0.8599 data: 0.0001 max mem: 29859 [07:55:14.107525] Epoch: [139] [520/850] eta: 0:04:46 lr: 0.002300 loss: 0.0261 (0.0287) loss_rec_all: 0.0621 (0.0648) loss_rec_sfr: 0.0733 (0.0928) loss_cl: -0.3667 (-0.3672) time: 0.8618 data: 0.0001 max mem: 29859 [07:55:31.316306] Epoch: [139] [540/850] eta: 0:04:28 lr: 0.002300 loss: 0.0268 (0.0287) loss_rec_all: 0.0627 (0.0647) loss_rec_sfr: 0.0753 (0.0927) loss_cl: -0.3678 (-0.3672) time: 0.8603 data: 0.0001 max mem: 29859 [07:55:48.561432] Epoch: [139] [560/850] eta: 0:04:11 lr: 0.002300 loss: 0.0268 (0.0286) loss_rec_all: 0.0629 (0.0647) loss_rec_sfr: 0.0868 (0.0927) loss_cl: -0.3683 (-0.3673) time: 0.8622 data: 0.0001 max mem: 29859 [07:56:05.762369] Epoch: [139] [580/850] eta: 0:03:54 lr: 0.002300 loss: 0.0290 (0.0286) loss_rec_all: 0.0650 (0.0647) loss_rec_sfr: 0.1163 (0.0933) loss_cl: -0.3678 (-0.3673) time: 0.8600 data: 0.0001 max mem: 29859 [07:56:23.008890] Epoch: [139] [600/850] eta: 0:03:36 lr: 0.002300 loss: 0.0297 (0.0287) loss_rec_all: 0.0655 (0.0648) loss_rec_sfr: 0.0985 (0.0935) loss_cl: -0.3675 (-0.3673) time: 0.8623 data: 0.0001 max mem: 29859 [07:56:40.214383] Epoch: [139] [620/850] eta: 0:03:19 lr: 0.002299 loss: 0.0271 (0.0287) loss_rec_all: 0.0633 (0.0648) loss_rec_sfr: 0.0745 (0.0932) loss_cl: -0.3674 (-0.3673) time: 0.8602 data: 0.0001 max mem: 29859 [07:56:57.449426] Epoch: [139] [640/850] eta: 0:03:01 lr: 0.002299 loss: 0.0288 (0.0287) loss_rec_all: 0.0646 (0.0648) loss_rec_sfr: 0.1036 (0.0936) loss_cl: -0.3672 (-0.3673) time: 0.8617 data: 0.0001 max mem: 29859 [07:57:14.659216] Epoch: [139] [660/850] eta: 0:02:44 lr: 0.002299 loss: 0.0262 (0.0287) loss_rec_all: 0.0623 (0.0647) loss_rec_sfr: 0.0685 (0.0933) loss_cl: -0.3661 (-0.3673) time: 0.8605 data: 0.0001 max mem: 29859 [07:57:31.895543] Epoch: [139] [680/850] eta: 0:02:27 lr: 0.002299 loss: 0.0278 (0.0287) loss_rec_all: 0.0638 (0.0647) loss_rec_sfr: 0.0840 (0.0931) loss_cl: -0.3662 (-0.3672) time: 0.8618 data: 0.0001 max mem: 29859 [07:57:49.093908] Epoch: [139] [700/850] eta: 0:02:09 lr: 0.002299 loss: 0.0268 (0.0287) loss_rec_all: 0.0630 (0.0647) loss_rec_sfr: 0.0754 (0.0931) loss_cl: -0.3668 (-0.3672) time: 0.8599 data: 0.0001 max mem: 29859 [07:58:06.342592] Epoch: [139] [720/850] eta: 0:01:52 lr: 0.002299 loss: 0.0284 (0.0287) loss_rec_all: 0.0644 (0.0648) loss_rec_sfr: 0.0946 (0.0932) loss_cl: -0.3680 (-0.3672) time: 0.8624 data: 0.0001 max mem: 29859 [07:58:23.539679] Epoch: [139] [740/850] eta: 0:01:35 lr: 0.002299 loss: 0.0304 (0.0287) loss_rec_all: 0.0661 (0.0648) loss_rec_sfr: 0.0989 (0.0934) loss_cl: -0.3680 (-0.3673) time: 0.8598 data: 0.0002 max mem: 29859 [07:58:40.790526] Epoch: [139] [760/850] eta: 0:01:17 lr: 0.002299 loss: 0.0263 (0.0287) loss_rec_all: 0.0626 (0.0648) loss_rec_sfr: 0.0718 (0.0933) loss_cl: -0.3677 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [07:58:58.000319] Epoch: [139] [780/850] eta: 0:01:00 lr: 0.002299 loss: 0.0279 (0.0287) loss_rec_all: 0.0635 (0.0648) loss_rec_sfr: 0.0977 (0.0934) loss_cl: -0.3676 (-0.3673) time: 0.8604 data: 0.0002 max mem: 29859 [07:59:15.245683] Epoch: [139] [800/850] eta: 0:00:43 lr: 0.002299 loss: 0.0266 (0.0287) loss_rec_all: 0.0628 (0.0647) loss_rec_sfr: 0.0666 (0.0930) loss_cl: -0.3668 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [07:59:32.475456] Epoch: [139] [820/850] eta: 0:00:25 lr: 0.002299 loss: 0.0269 (0.0286) loss_rec_all: 0.0631 (0.0647) loss_rec_sfr: 0.0952 (0.0930) loss_cl: -0.3672 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [07:59:49.702805] Epoch: [139] [840/850] eta: 0:00:08 lr: 0.002299 loss: 0.0265 (0.0286) loss_rec_all: 0.0626 (0.0647) loss_rec_sfr: 0.0782 (0.0930) loss_cl: -0.3665 (-0.3672) time: 0.8613 data: 0.0004 max mem: 29859 [07:59:57.434508] Epoch: [139] [849/850] eta: 0:00:00 lr: 0.002299 loss: 0.0265 (0.0286) loss_rec_all: 0.0626 (0.0647) loss_rec_sfr: 0.0958 (0.0930) loss_cl: -0.3668 (-0.3672) time: 0.8604 data: 0.0003 max mem: 29859 [07:59:57.593528] Epoch: [139] Total time: 0:12:15 (0.8653 s / it) [07:59:57.595924] Averaged stats: lr: 0.002299 loss: 0.0265 (0.0285) loss_rec_all: 0.0626 (0.0646) loss_rec_sfr: 0.0958 (0.0930) loss_cl: -0.3668 (-0.3672) [07:59:57.607435] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [08:00:01.177859] Epoch: [140] [ 0/850] eta: 0:50:34 lr: 0.002299 loss: 0.0269 (0.0269) loss_rec_all: 0.0628 (0.0628) loss_rec_sfr: 0.1181 (0.1181) loss_cl: -0.3667 (-0.3667) time: 3.5697 data: 2.7137 max mem: 29859 [08:00:18.372579] Epoch: [140] [ 20/850] eta: 0:13:40 lr: 0.002299 loss: 0.0267 (0.0277) loss_rec_all: 0.0628 (0.0637) loss_rec_sfr: 0.0940 (0.0997) loss_cl: -0.3670 (-0.3669) time: 0.8597 data: 0.0002 max mem: 29859 [08:00:35.612372] Epoch: [140] [ 40/850] eta: 0:12:30 lr: 0.002299 loss: 0.0265 (0.0273) loss_rec_all: 0.0627 (0.0633) loss_rec_sfr: 0.0948 (0.0980) loss_cl: -0.3670 (-0.3669) time: 0.8619 data: 0.0002 max mem: 29859 [08:00:52.802236] Epoch: [140] [ 60/850] eta: 0:11:54 lr: 0.002299 loss: 0.0268 (0.0272) loss_rec_all: 0.0629 (0.0633) loss_rec_sfr: 0.0662 (0.0943) loss_cl: -0.3672 (-0.3670) time: 0.8594 data: 0.0002 max mem: 29859 [08:01:10.043424] Epoch: [140] [ 80/850] eta: 0:11:28 lr: 0.002299 loss: 0.0267 (0.0272) loss_rec_all: 0.0628 (0.0632) loss_rec_sfr: 0.0717 (0.0927) loss_cl: -0.3676 (-0.3671) time: 0.8620 data: 0.0002 max mem: 29859 [08:01:27.247435] Epoch: [140] [100/850] eta: 0:11:05 lr: 0.002299 loss: 0.0260 (0.0270) loss_rec_all: 0.0619 (0.0631) loss_rec_sfr: 0.1051 (0.0950) loss_cl: -0.3675 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [08:01:44.494632] Epoch: [140] [120/850] eta: 0:10:44 lr: 0.002299 loss: 0.0253 (0.0268) loss_rec_all: 0.0615 (0.0629) loss_rec_sfr: 0.0709 (0.0939) loss_cl: -0.3676 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [08:02:01.713049] Epoch: [140] [140/850] eta: 0:10:24 lr: 0.002299 loss: 0.0253 (0.0268) loss_rec_all: 0.0617 (0.0629) loss_rec_sfr: 0.0739 (0.0926) loss_cl: -0.3674 (-0.3673) time: 0.8609 data: 0.0002 max mem: 29859 [08:02:19.001629] Epoch: [140] [160/850] eta: 0:10:05 lr: 0.002299 loss: 0.0288 (0.0271) loss_rec_all: 0.0645 (0.0631) loss_rec_sfr: 0.0948 (0.0930) loss_cl: -0.3669 (-0.3672) time: 0.8644 data: 0.0002 max mem: 29859 [08:02:36.208893] Epoch: [140] [180/850] eta: 0:09:47 lr: 0.002299 loss: 0.0289 (0.0273) loss_rec_all: 0.0649 (0.0634) loss_rec_sfr: 0.1030 (0.0938) loss_cl: -0.3667 (-0.3671) time: 0.8603 data: 0.0002 max mem: 29859 [08:02:53.513893] Epoch: [140] [200/850] eta: 0:09:28 lr: 0.002298 loss: 0.0291 (0.0276) loss_rec_all: 0.0649 (0.0637) loss_rec_sfr: 0.1013 (0.0946) loss_cl: -0.3671 (-0.3671) time: 0.8652 data: 0.0002 max mem: 29859 [08:03:10.707575] Epoch: [140] [220/850] eta: 0:09:10 lr: 0.002298 loss: 0.0277 (0.0277) loss_rec_all: 0.0641 (0.0638) loss_rec_sfr: 0.0720 (0.0940) loss_cl: -0.3680 (-0.3672) time: 0.8596 data: 0.0002 max mem: 29859 [08:03:27.954141] Epoch: [140] [240/850] eta: 0:08:52 lr: 0.002298 loss: 0.0277 (0.0279) loss_rec_all: 0.0641 (0.0639) loss_rec_sfr: 0.0866 (0.0946) loss_cl: -0.3684 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [08:03:45.155379] Epoch: [140] [260/850] eta: 0:08:34 lr: 0.002298 loss: 0.0285 (0.0280) loss_rec_all: 0.0648 (0.0641) loss_rec_sfr: 0.0790 (0.0943) loss_cl: -0.3679 (-0.3673) time: 0.8600 data: 0.0002 max mem: 29859 [08:04:02.441655] Epoch: [140] [280/850] eta: 0:08:16 lr: 0.002298 loss: 0.0286 (0.0281) loss_rec_all: 0.0644 (0.0642) loss_rec_sfr: 0.0845 (0.0942) loss_cl: -0.3674 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [08:04:19.636655] Epoch: [140] [300/850] eta: 0:07:58 lr: 0.002298 loss: 0.0287 (0.0282) loss_rec_all: 0.0646 (0.0643) loss_rec_sfr: 0.0956 (0.0942) loss_cl: -0.3672 (-0.3673) time: 0.8597 data: 0.0002 max mem: 29859 [08:04:36.901350] Epoch: [140] [320/850] eta: 0:07:41 lr: 0.002298 loss: 0.0280 (0.0282) loss_rec_all: 0.0642 (0.0643) loss_rec_sfr: 0.0673 (0.0936) loss_cl: -0.3671 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [08:04:54.105306] Epoch: [140] [340/850] eta: 0:07:23 lr: 0.002298 loss: 0.0267 (0.0282) loss_rec_all: 0.0630 (0.0642) loss_rec_sfr: 0.0700 (0.0933) loss_cl: -0.3673 (-0.3673) time: 0.8602 data: 0.0002 max mem: 29859 [08:05:11.347904] Epoch: [140] [360/850] eta: 0:07:05 lr: 0.002298 loss: 0.0260 (0.0281) loss_rec_all: 0.0622 (0.0642) loss_rec_sfr: 0.0763 (0.0929) loss_cl: -0.3675 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [08:05:28.616468] Epoch: [140] [380/850] eta: 0:06:48 lr: 0.002298 loss: 0.0280 (0.0282) loss_rec_all: 0.0637 (0.0642) loss_rec_sfr: 0.0937 (0.0932) loss_cl: -0.3670 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [08:05:45.856224] Epoch: [140] [400/850] eta: 0:06:30 lr: 0.002298 loss: 0.0254 (0.0281) loss_rec_all: 0.0616 (0.0641) loss_rec_sfr: 0.0637 (0.0925) loss_cl: -0.3665 (-0.3672) time: 0.8619 data: 0.0001 max mem: 29859 [08:06:03.104395] Epoch: [140] [420/850] eta: 0:06:13 lr: 0.002298 loss: 0.0254 (0.0280) loss_rec_all: 0.0616 (0.0641) loss_rec_sfr: 0.0692 (0.0923) loss_cl: -0.3663 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [08:06:20.372214] Epoch: [140] [440/850] eta: 0:05:55 lr: 0.002298 loss: 0.0250 (0.0279) loss_rec_all: 0.0613 (0.0640) loss_rec_sfr: 0.0628 (0.0919) loss_cl: -0.3668 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [08:06:37.590613] Epoch: [140] [460/850] eta: 0:05:38 lr: 0.002298 loss: 0.0255 (0.0278) loss_rec_all: 0.0617 (0.0639) loss_rec_sfr: 0.0630 (0.0912) loss_cl: -0.3670 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [08:06:54.848165] Epoch: [140] [480/850] eta: 0:05:20 lr: 0.002298 loss: 0.0254 (0.0277) loss_rec_all: 0.0614 (0.0638) loss_rec_sfr: 0.0653 (0.0907) loss_cl: -0.3676 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [08:07:12.072551] Epoch: [140] [500/850] eta: 0:05:03 lr: 0.002298 loss: 0.0279 (0.0278) loss_rec_all: 0.0642 (0.0639) loss_rec_sfr: 0.1022 (0.0915) loss_cl: -0.3679 (-0.3672) time: 0.8612 data: 0.0002 max mem: 29859 [08:07:29.318380] Epoch: [140] [520/850] eta: 0:04:46 lr: 0.002298 loss: 0.0282 (0.0278) loss_rec_all: 0.0641 (0.0639) loss_rec_sfr: 0.0923 (0.0916) loss_cl: -0.3676 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [08:07:46.557409] Epoch: [140] [540/850] eta: 0:04:28 lr: 0.002298 loss: 0.0287 (0.0279) loss_rec_all: 0.0649 (0.0639) loss_rec_sfr: 0.0903 (0.0917) loss_cl: -0.3676 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [08:08:03.805637] Epoch: [140] [560/850] eta: 0:04:11 lr: 0.002298 loss: 0.0264 (0.0279) loss_rec_all: 0.0625 (0.0639) loss_rec_sfr: 0.0755 (0.0916) loss_cl: -0.3676 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [08:08:21.010443] Epoch: [140] [580/850] eta: 0:03:53 lr: 0.002298 loss: 0.0279 (0.0279) loss_rec_all: 0.0641 (0.0640) loss_rec_sfr: 0.0735 (0.0913) loss_cl: -0.3670 (-0.3673) time: 0.8602 data: 0.0002 max mem: 29859 [08:08:38.270889] Epoch: [140] [600/850] eta: 0:03:36 lr: 0.002298 loss: 0.0279 (0.0279) loss_rec_all: 0.0640 (0.0640) loss_rec_sfr: 0.0921 (0.0914) loss_cl: -0.3673 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [08:08:55.470476] Epoch: [140] [620/850] eta: 0:03:19 lr: 0.002297 loss: 0.0270 (0.0279) loss_rec_all: 0.0631 (0.0640) loss_rec_sfr: 0.0669 (0.0912) loss_cl: -0.3673 (-0.3673) time: 0.8599 data: 0.0002 max mem: 29859 [08:09:12.724839] Epoch: [140] [640/850] eta: 0:03:01 lr: 0.002297 loss: 0.0254 (0.0278) loss_rec_all: 0.0616 (0.0639) loss_rec_sfr: 0.0635 (0.0909) loss_cl: -0.3677 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [08:09:29.951461] Epoch: [140] [660/850] eta: 0:02:44 lr: 0.002297 loss: 0.0269 (0.0278) loss_rec_all: 0.0630 (0.0639) loss_rec_sfr: 0.0782 (0.0908) loss_cl: -0.3673 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [08:09:47.190515] Epoch: [140] [680/850] eta: 0:02:27 lr: 0.002297 loss: 0.0250 (0.0278) loss_rec_all: 0.0612 (0.0639) loss_rec_sfr: 0.0713 (0.0905) loss_cl: -0.3672 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [08:10:04.401770] Epoch: [140] [700/850] eta: 0:02:09 lr: 0.002297 loss: 0.0260 (0.0278) loss_rec_all: 0.0619 (0.0639) loss_rec_sfr: 0.0665 (0.0904) loss_cl: -0.3672 (-0.3673) time: 0.8605 data: 0.0002 max mem: 29859 [08:10:21.649781] Epoch: [140] [720/850] eta: 0:01:52 lr: 0.002297 loss: 0.0277 (0.0278) loss_rec_all: 0.0637 (0.0639) loss_rec_sfr: 0.0670 (0.0902) loss_cl: -0.3679 (-0.3673) time: 0.8624 data: 0.0001 max mem: 29859 [08:10:38.853714] Epoch: [140] [740/850] eta: 0:01:35 lr: 0.002297 loss: 0.0296 (0.0279) loss_rec_all: 0.0656 (0.0639) loss_rec_sfr: 0.0972 (0.0903) loss_cl: -0.3678 (-0.3673) time: 0.8602 data: 0.0001 max mem: 29859 [08:10:56.092421] Epoch: [140] [760/850] eta: 0:01:17 lr: 0.002297 loss: 0.0270 (0.0278) loss_rec_all: 0.0634 (0.0639) loss_rec_sfr: 0.0849 (0.0906) loss_cl: -0.3676 (-0.3673) time: 0.8619 data: 0.0001 max mem: 29859 [08:11:13.304229] Epoch: [140] [780/850] eta: 0:01:00 lr: 0.002297 loss: 0.0282 (0.0279) loss_rec_all: 0.0645 (0.0640) loss_rec_sfr: 0.0798 (0.0906) loss_cl: -0.3670 (-0.3673) time: 0.8605 data: 0.0001 max mem: 29859 [08:11:30.552489] Epoch: [140] [800/850] eta: 0:00:43 lr: 0.002297 loss: 0.0275 (0.0279) loss_rec_all: 0.0637 (0.0640) loss_rec_sfr: 0.0849 (0.0906) loss_cl: -0.3670 (-0.3673) time: 0.8624 data: 0.0001 max mem: 29859 [08:11:47.752685] Epoch: [140] [820/850] eta: 0:00:25 lr: 0.002297 loss: 0.0280 (0.0279) loss_rec_all: 0.0641 (0.0640) loss_rec_sfr: 0.0966 (0.0907) loss_cl: -0.3670 (-0.3673) time: 0.8600 data: 0.0001 max mem: 29859 [08:12:05.034458] Epoch: [140] [840/850] eta: 0:00:08 lr: 0.002297 loss: 0.0286 (0.0279) loss_rec_all: 0.0646 (0.0640) loss_rec_sfr: 0.1168 (0.0912) loss_cl: -0.3675 (-0.3673) time: 0.8640 data: 0.0005 max mem: 29859 [08:12:12.772435] Epoch: [140] [849/850] eta: 0:00:00 lr: 0.002297 loss: 0.0275 (0.0280) loss_rec_all: 0.0634 (0.0640) loss_rec_sfr: 0.1041 (0.0913) loss_cl: -0.3675 (-0.3673) time: 0.8613 data: 0.0004 max mem: 29859 [08:12:12.925394] Epoch: [140] Total time: 0:12:15 (0.8651 s / it) [08:12:12.927830] Averaged stats: lr: 0.002297 loss: 0.0275 (0.0280) loss_rec_all: 0.0634 (0.0640) loss_rec_sfr: 0.1041 (0.0920) loss_cl: -0.3675 (-0.3672) [08:12:12.940616] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [08:12:16.920894] Epoch: [141] [ 0/850] eta: 0:56:22 lr: 0.002297 loss: 0.0254 (0.0254) loss_rec_all: 0.0616 (0.0616) loss_rec_sfr: 0.0628 (0.0628) loss_cl: -0.3665 (-0.3665) time: 3.9792 data: 3.1200 max mem: 29859 [08:12:34.111621] Epoch: [141] [ 20/850] eta: 0:13:56 lr: 0.002297 loss: 0.0273 (0.0280) loss_rec_all: 0.0634 (0.0641) loss_rec_sfr: 0.0722 (0.0904) loss_cl: -0.3675 (-0.3673) time: 0.8595 data: 0.0002 max mem: 29859 [08:12:51.340563] Epoch: [141] [ 40/850] eta: 0:12:38 lr: 0.002297 loss: 0.0287 (0.0284) loss_rec_all: 0.0646 (0.0644) loss_rec_sfr: 0.1024 (0.0987) loss_cl: -0.3671 (-0.3671) time: 0.8614 data: 0.0002 max mem: 29859 [08:13:08.529678] Epoch: [141] [ 60/850] eta: 0:11:59 lr: 0.002297 loss: 0.0269 (0.0280) loss_rec_all: 0.0628 (0.0640) loss_rec_sfr: 0.0713 (0.0959) loss_cl: -0.3670 (-0.3670) time: 0.8594 data: 0.0002 max mem: 29859 [08:13:25.754956] Epoch: [141] [ 80/850] eta: 0:11:32 lr: 0.002297 loss: 0.0271 (0.0279) loss_rec_all: 0.0633 (0.0639) loss_rec_sfr: 0.0735 (0.0929) loss_cl: -0.3676 (-0.3672) time: 0.8612 data: 0.0001 max mem: 29859 [08:13:42.995702] Epoch: [141] [100/850] eta: 0:11:08 lr: 0.002297 loss: 0.0266 (0.0278) loss_rec_all: 0.0630 (0.0639) loss_rec_sfr: 0.0725 (0.0911) loss_cl: -0.3681 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [08:14:00.235496] Epoch: [141] [120/850] eta: 0:10:47 lr: 0.002297 loss: 0.0263 (0.0277) loss_rec_all: 0.0627 (0.0639) loss_rec_sfr: 0.0755 (0.0903) loss_cl: -0.3682 (-0.3675) time: 0.8619 data: 0.0002 max mem: 29859 [08:14:17.448355] Epoch: [141] [140/850] eta: 0:10:26 lr: 0.002297 loss: 0.0293 (0.0280) loss_rec_all: 0.0654 (0.0641) loss_rec_sfr: 0.1006 (0.0923) loss_cl: -0.3678 (-0.3675) time: 0.8606 data: 0.0002 max mem: 29859 [08:14:34.703203] Epoch: [141] [160/850] eta: 0:10:07 lr: 0.002297 loss: 0.0282 (0.0282) loss_rec_all: 0.0642 (0.0643) loss_rec_sfr: 0.0789 (0.0924) loss_cl: -0.3674 (-0.3675) time: 0.8627 data: 0.0002 max mem: 29859 [08:14:51.908336] Epoch: [141] [180/850] eta: 0:09:48 lr: 0.002297 loss: 0.0272 (0.0281) loss_rec_all: 0.0630 (0.0642) loss_rec_sfr: 0.0796 (0.0925) loss_cl: -0.3668 (-0.3674) time: 0.8602 data: 0.0001 max mem: 29859 [08:15:09.141918] Epoch: [141] [200/850] eta: 0:09:29 lr: 0.002296 loss: 0.0261 (0.0280) loss_rec_all: 0.0622 (0.0641) loss_rec_sfr: 0.0756 (0.0920) loss_cl: -0.3667 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [08:15:26.353330] Epoch: [141] [220/850] eta: 0:09:11 lr: 0.002296 loss: 0.0269 (0.0279) loss_rec_all: 0.0631 (0.0640) loss_rec_sfr: 0.0778 (0.0916) loss_cl: -0.3669 (-0.3673) time: 0.8605 data: 0.0001 max mem: 29859 [08:15:43.596534] Epoch: [141] [240/850] eta: 0:08:53 lr: 0.002296 loss: 0.0259 (0.0279) loss_rec_all: 0.0622 (0.0640) loss_rec_sfr: 0.0758 (0.0907) loss_cl: -0.3674 (-0.3673) time: 0.8621 data: 0.0001 max mem: 29859 [08:16:00.824372] Epoch: [141] [260/850] eta: 0:08:35 lr: 0.002296 loss: 0.0269 (0.0279) loss_rec_all: 0.0627 (0.0640) loss_rec_sfr: 0.0747 (0.0905) loss_cl: -0.3672 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [08:16:18.070703] Epoch: [141] [280/850] eta: 0:08:17 lr: 0.002296 loss: 0.0262 (0.0279) loss_rec_all: 0.0624 (0.0640) loss_rec_sfr: 0.0738 (0.0905) loss_cl: -0.3676 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [08:16:35.272600] Epoch: [141] [300/850] eta: 0:07:59 lr: 0.002296 loss: 0.0260 (0.0278) loss_rec_all: 0.0621 (0.0639) loss_rec_sfr: 0.0755 (0.0906) loss_cl: -0.3678 (-0.3674) time: 0.8600 data: 0.0002 max mem: 29859 [08:16:52.578074] Epoch: [141] [320/850] eta: 0:07:41 lr: 0.002296 loss: 0.0261 (0.0278) loss_rec_all: 0.0620 (0.0639) loss_rec_sfr: 0.0656 (0.0903) loss_cl: -0.3677 (-0.3674) time: 0.8652 data: 0.0002 max mem: 29859 [08:17:09.776545] Epoch: [141] [340/850] eta: 0:07:23 lr: 0.002296 loss: 0.0275 (0.0277) loss_rec_all: 0.0637 (0.0638) loss_rec_sfr: 0.0917 (0.0905) loss_cl: -0.3673 (-0.3674) time: 0.8599 data: 0.0002 max mem: 29859 [08:17:27.049439] Epoch: [141] [360/850] eta: 0:07:06 lr: 0.002296 loss: 0.0262 (0.0277) loss_rec_all: 0.0624 (0.0638) loss_rec_sfr: 0.0920 (0.0905) loss_cl: -0.3670 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [08:17:44.365566] Epoch: [141] [380/850] eta: 0:06:48 lr: 0.002296 loss: 0.0266 (0.0277) loss_rec_all: 0.0624 (0.0638) loss_rec_sfr: 0.0720 (0.0905) loss_cl: -0.3667 (-0.3673) time: 0.8658 data: 0.0003 max mem: 29859 [08:18:01.601586] Epoch: [141] [400/850] eta: 0:06:31 lr: 0.002296 loss: 0.0284 (0.0278) loss_rec_all: 0.0644 (0.0639) loss_rec_sfr: 0.0948 (0.0907) loss_cl: -0.3669 (-0.3673) time: 0.8617 data: 0.0001 max mem: 29859 [08:18:19.094688] Epoch: [141] [420/850] eta: 0:06:13 lr: 0.002296 loss: 0.0272 (0.0278) loss_rec_all: 0.0629 (0.0639) loss_rec_sfr: 0.0740 (0.0909) loss_cl: -0.3673 (-0.3673) time: 0.8746 data: 0.0003 max mem: 29859 [08:18:36.404938] Epoch: [141] [440/850] eta: 0:05:56 lr: 0.002296 loss: 0.0283 (0.0279) loss_rec_all: 0.0641 (0.0639) loss_rec_sfr: 0.0674 (0.0908) loss_cl: -0.3669 (-0.3673) time: 0.8655 data: 0.0002 max mem: 29859 [08:18:53.636970] Epoch: [141] [460/850] eta: 0:05:38 lr: 0.002296 loss: 0.0262 (0.0279) loss_rec_all: 0.0625 (0.0639) loss_rec_sfr: 0.0727 (0.0904) loss_cl: -0.3672 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [08:19:11.054968] Epoch: [141] [480/850] eta: 0:05:21 lr: 0.002296 loss: 0.0266 (0.0278) loss_rec_all: 0.0629 (0.0639) loss_rec_sfr: 0.0968 (0.0907) loss_cl: -0.3674 (-0.3673) time: 0.8706 data: 0.0003 max mem: 29859 [08:19:28.323027] Epoch: [141] [500/850] eta: 0:05:04 lr: 0.002296 loss: 0.0260 (0.0278) loss_rec_all: 0.0621 (0.0639) loss_rec_sfr: 0.0771 (0.0905) loss_cl: -0.3676 (-0.3673) time: 0.8634 data: 0.0003 max mem: 29859 [08:19:45.618848] Epoch: [141] [520/850] eta: 0:04:46 lr: 0.002296 loss: 0.0251 (0.0277) loss_rec_all: 0.0613 (0.0638) loss_rec_sfr: 0.0629 (0.0898) loss_cl: -0.3672 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [08:20:02.913089] Epoch: [141] [540/850] eta: 0:04:29 lr: 0.002296 loss: 0.0273 (0.0277) loss_rec_all: 0.0633 (0.0638) loss_rec_sfr: 0.0757 (0.0899) loss_cl: -0.3668 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [08:20:20.178644] Epoch: [141] [560/850] eta: 0:04:11 lr: 0.002296 loss: 0.0262 (0.0277) loss_rec_all: 0.0619 (0.0638) loss_rec_sfr: 0.0917 (0.0901) loss_cl: -0.3665 (-0.3672) time: 0.8632 data: 0.0002 max mem: 29859 [08:20:37.461187] Epoch: [141] [580/850] eta: 0:03:54 lr: 0.002296 loss: 0.0291 (0.0277) loss_rec_all: 0.0649 (0.0638) loss_rec_sfr: 0.0953 (0.0907) loss_cl: -0.3671 (-0.3672) time: 0.8641 data: 0.0003 max mem: 29859 [08:20:54.721561] Epoch: [141] [600/850] eta: 0:03:37 lr: 0.002296 loss: 0.0291 (0.0279) loss_rec_all: 0.0652 (0.0639) loss_rec_sfr: 0.1025 (0.0909) loss_cl: -0.3674 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [08:21:11.961153] Epoch: [141] [620/850] eta: 0:03:19 lr: 0.002295 loss: 0.0285 (0.0279) loss_rec_all: 0.0648 (0.0640) loss_rec_sfr: 0.0763 (0.0908) loss_cl: -0.3685 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [08:21:29.210366] Epoch: [141] [640/850] eta: 0:03:02 lr: 0.002295 loss: 0.0292 (0.0280) loss_rec_all: 0.0654 (0.0640) loss_rec_sfr: 0.0931 (0.0911) loss_cl: -0.3680 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [08:21:46.458840] Epoch: [141] [660/850] eta: 0:02:44 lr: 0.002295 loss: 0.0281 (0.0280) loss_rec_all: 0.0638 (0.0641) loss_rec_sfr: 0.0957 (0.0914) loss_cl: -0.3672 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [08:22:03.776345] Epoch: [141] [680/850] eta: 0:02:27 lr: 0.002295 loss: 0.0262 (0.0280) loss_rec_all: 0.0624 (0.0640) loss_rec_sfr: 0.0716 (0.0914) loss_cl: -0.3672 (-0.3673) time: 0.8658 data: 0.0002 max mem: 29859 [08:22:20.978725] Epoch: [141] [700/850] eta: 0:02:10 lr: 0.002295 loss: 0.0266 (0.0279) loss_rec_all: 0.0627 (0.0640) loss_rec_sfr: 0.0679 (0.0912) loss_cl: -0.3665 (-0.3673) time: 0.8601 data: 0.0002 max mem: 29859 [08:22:38.285931] Epoch: [141] [720/850] eta: 0:01:52 lr: 0.002295 loss: 0.0287 (0.0280) loss_rec_all: 0.0644 (0.0640) loss_rec_sfr: 0.1139 (0.0918) loss_cl: -0.3667 (-0.3672) time: 0.8653 data: 0.0003 max mem: 29859 [08:22:55.520645] Epoch: [141] [740/850] eta: 0:01:35 lr: 0.002295 loss: 0.0267 (0.0279) loss_rec_all: 0.0628 (0.0640) loss_rec_sfr: 0.0734 (0.0915) loss_cl: -0.3668 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [08:23:12.777805] Epoch: [141] [760/850] eta: 0:01:18 lr: 0.002295 loss: 0.0266 (0.0279) loss_rec_all: 0.0626 (0.0640) loss_rec_sfr: 0.0740 (0.0914) loss_cl: -0.3676 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [08:23:30.008169] Epoch: [141] [780/850] eta: 0:01:00 lr: 0.002295 loss: 0.0262 (0.0279) loss_rec_all: 0.0625 (0.0640) loss_rec_sfr: 0.0652 (0.0913) loss_cl: -0.3676 (-0.3672) time: 0.8614 data: 0.0002 max mem: 29859 [08:23:47.257026] Epoch: [141] [800/850] eta: 0:00:43 lr: 0.002295 loss: 0.0273 (0.0279) loss_rec_all: 0.0633 (0.0640) loss_rec_sfr: 0.1009 (0.0914) loss_cl: -0.3678 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [08:24:04.500305] Epoch: [141] [820/850] eta: 0:00:25 lr: 0.002295 loss: 0.0266 (0.0279) loss_rec_all: 0.0629 (0.0640) loss_rec_sfr: 0.0722 (0.0914) loss_cl: -0.3676 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [08:24:21.804872] Epoch: [141] [840/850] eta: 0:00:08 lr: 0.002295 loss: 0.0260 (0.0279) loss_rec_all: 0.0619 (0.0639) loss_rec_sfr: 0.0946 (0.0914) loss_cl: -0.3672 (-0.3673) time: 0.8652 data: 0.0005 max mem: 29859 [08:24:29.547164] Epoch: [141] [849/850] eta: 0:00:00 lr: 0.002295 loss: 0.0257 (0.0278) loss_rec_all: 0.0619 (0.0639) loss_rec_sfr: 0.0731 (0.0913) loss_cl: -0.3672 (-0.3673) time: 0.8645 data: 0.0005 max mem: 29859 [08:24:29.681818] Epoch: [141] Total time: 0:12:16 (0.8668 s / it) [08:24:29.682944] Averaged stats: lr: 0.002295 loss: 0.0257 (0.0279) loss_rec_all: 0.0619 (0.0640) loss_rec_sfr: 0.0731 (0.0921) loss_cl: -0.3672 (-0.3672) [08:24:29.688585] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [08:24:34.406940] Epoch: [142] [ 0/850] eta: 1:06:49 lr: 0.002295 loss: 0.0253 (0.0253) loss_rec_all: 0.0616 (0.0616) loss_rec_sfr: 0.0740 (0.0740) loss_cl: -0.3677 (-0.3677) time: 4.7175 data: 3.8611 max mem: 29859 [08:24:51.550244] Epoch: [142] [ 20/850] eta: 0:14:23 lr: 0.002295 loss: 0.0266 (0.0274) loss_rec_all: 0.0624 (0.0635) loss_rec_sfr: 0.0791 (0.0874) loss_cl: -0.3670 (-0.3670) time: 0.8571 data: 0.0002 max mem: 29859 [08:25:08.801540] Epoch: [142] [ 40/850] eta: 0:12:52 lr: 0.002295 loss: 0.0275 (0.0277) loss_rec_all: 0.0637 (0.0638) loss_rec_sfr: 0.0764 (0.0884) loss_cl: -0.3672 (-0.3671) time: 0.8625 data: 0.0002 max mem: 29859 [08:25:26.061895] Epoch: [142] [ 60/850] eta: 0:12:10 lr: 0.002295 loss: 0.0273 (0.0279) loss_rec_all: 0.0636 (0.0640) loss_rec_sfr: 0.0978 (0.0912) loss_cl: -0.3674 (-0.3671) time: 0.8630 data: 0.0002 max mem: 29859 [08:25:43.309450] Epoch: [142] [ 80/850] eta: 0:11:39 lr: 0.002295 loss: 0.0283 (0.0284) loss_rec_all: 0.0645 (0.0645) loss_rec_sfr: 0.0734 (0.0920) loss_cl: -0.3672 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [08:26:00.528766] Epoch: [142] [100/850] eta: 0:11:14 lr: 0.002295 loss: 0.0285 (0.0286) loss_rec_all: 0.0649 (0.0646) loss_rec_sfr: 0.0815 (0.0928) loss_cl: -0.3675 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [08:26:17.872104] Epoch: [142] [120/850] eta: 0:10:52 lr: 0.002295 loss: 0.0283 (0.0286) loss_rec_all: 0.0646 (0.0647) loss_rec_sfr: 0.1097 (0.0951) loss_cl: -0.3678 (-0.3673) time: 0.8671 data: 0.0002 max mem: 29859 [08:26:35.076825] Epoch: [142] [140/850] eta: 0:10:31 lr: 0.002295 loss: 0.0267 (0.0286) loss_rec_all: 0.0630 (0.0647) loss_rec_sfr: 0.0791 (0.0945) loss_cl: -0.3676 (-0.3673) time: 0.8602 data: 0.0002 max mem: 29859 [08:26:52.399901] Epoch: [142] [160/850] eta: 0:10:11 lr: 0.002295 loss: 0.0283 (0.0287) loss_rec_all: 0.0643 (0.0648) loss_rec_sfr: 0.0986 (0.0944) loss_cl: -0.3675 (-0.3673) time: 0.8661 data: 0.0003 max mem: 29859 [08:27:09.665264] Epoch: [142] [180/850] eta: 0:09:52 lr: 0.002294 loss: 0.0266 (0.0285) loss_rec_all: 0.0630 (0.0646) loss_rec_sfr: 0.0649 (0.0932) loss_cl: -0.3674 (-0.3673) time: 0.8632 data: 0.0003 max mem: 29859 [08:27:26.935202] Epoch: [142] [200/850] eta: 0:09:33 lr: 0.002294 loss: 0.0264 (0.0284) loss_rec_all: 0.0626 (0.0644) loss_rec_sfr: 0.0708 (0.0925) loss_cl: -0.3671 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [08:27:44.168050] Epoch: [142] [220/850] eta: 0:09:14 lr: 0.002294 loss: 0.0258 (0.0283) loss_rec_all: 0.0620 (0.0644) loss_rec_sfr: 0.0711 (0.0919) loss_cl: -0.3670 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [08:28:01.485995] Epoch: [142] [240/850] eta: 0:08:56 lr: 0.002294 loss: 0.0271 (0.0282) loss_rec_all: 0.0630 (0.0643) loss_rec_sfr: 0.1065 (0.0929) loss_cl: -0.3671 (-0.3673) time: 0.8658 data: 0.0002 max mem: 29859 [08:28:18.735504] Epoch: [142] [260/850] eta: 0:08:37 lr: 0.002294 loss: 0.0244 (0.0281) loss_rec_all: 0.0608 (0.0642) loss_rec_sfr: 0.0617 (0.0925) loss_cl: -0.3672 (-0.3672) time: 0.8624 data: 0.0003 max mem: 29859 [08:28:36.030746] Epoch: [142] [280/850] eta: 0:08:19 lr: 0.002294 loss: 0.0268 (0.0281) loss_rec_all: 0.0627 (0.0641) loss_rec_sfr: 0.1050 (0.0940) loss_cl: -0.3671 (-0.3672) time: 0.8647 data: 0.0003 max mem: 29859 [08:28:53.282886] Epoch: [142] [300/850] eta: 0:08:01 lr: 0.002294 loss: 0.0273 (0.0281) loss_rec_all: 0.0635 (0.0642) loss_rec_sfr: 0.0830 (0.0939) loss_cl: -0.3674 (-0.3672) time: 0.8626 data: 0.0003 max mem: 29859 [08:29:10.543686] Epoch: [142] [320/850] eta: 0:07:43 lr: 0.002294 loss: 0.0260 (0.0280) loss_rec_all: 0.0623 (0.0641) loss_rec_sfr: 0.0674 (0.0932) loss_cl: -0.3672 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [08:29:27.795945] Epoch: [142] [340/850] eta: 0:07:25 lr: 0.002294 loss: 0.0266 (0.0279) loss_rec_all: 0.0624 (0.0640) loss_rec_sfr: 0.0706 (0.0927) loss_cl: -0.3668 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [08:29:45.099494] Epoch: [142] [360/850] eta: 0:07:08 lr: 0.002294 loss: 0.0284 (0.0280) loss_rec_all: 0.0642 (0.0640) loss_rec_sfr: 0.0940 (0.0930) loss_cl: -0.3668 (-0.3672) time: 0.8651 data: 0.0002 max mem: 29859 [08:30:02.309729] Epoch: [142] [380/850] eta: 0:06:50 lr: 0.002294 loss: 0.0290 (0.0280) loss_rec_all: 0.0649 (0.0641) loss_rec_sfr: 0.0928 (0.0934) loss_cl: -0.3669 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [08:30:19.663378] Epoch: [142] [400/850] eta: 0:06:32 lr: 0.002294 loss: 0.0266 (0.0280) loss_rec_all: 0.0628 (0.0641) loss_rec_sfr: 0.0751 (0.0932) loss_cl: -0.3673 (-0.3672) time: 0.8676 data: 0.0003 max mem: 29859 [08:30:36.915048] Epoch: [142] [420/850] eta: 0:06:15 lr: 0.002294 loss: 0.0261 (0.0280) loss_rec_all: 0.0620 (0.0640) loss_rec_sfr: 0.0921 (0.0931) loss_cl: -0.3674 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [08:30:54.184822] Epoch: [142] [440/850] eta: 0:05:57 lr: 0.002294 loss: 0.0251 (0.0279) loss_rec_all: 0.0615 (0.0640) loss_rec_sfr: 0.0757 (0.0927) loss_cl: -0.3679 (-0.3672) time: 0.8634 data: 0.0002 max mem: 29859 [08:31:11.407506] Epoch: [142] [460/850] eta: 0:05:39 lr: 0.002294 loss: 0.0280 (0.0279) loss_rec_all: 0.0639 (0.0640) loss_rec_sfr: 0.0954 (0.0929) loss_cl: -0.3683 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [08:31:28.707790] Epoch: [142] [480/850] eta: 0:05:22 lr: 0.002294 loss: 0.0259 (0.0279) loss_rec_all: 0.0619 (0.0639) loss_rec_sfr: 0.0727 (0.0926) loss_cl: -0.3678 (-0.3673) time: 0.8650 data: 0.0002 max mem: 29859 [08:31:45.909548] Epoch: [142] [500/850] eta: 0:05:04 lr: 0.002294 loss: 0.0256 (0.0278) loss_rec_all: 0.0620 (0.0639) loss_rec_sfr: 0.0725 (0.0922) loss_cl: -0.3679 (-0.3673) time: 0.8600 data: 0.0002 max mem: 29859 [08:32:03.168291] Epoch: [142] [520/850] eta: 0:04:47 lr: 0.002294 loss: 0.0256 (0.0277) loss_rec_all: 0.0617 (0.0638) loss_rec_sfr: 0.1038 (0.0923) loss_cl: -0.3676 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [08:32:20.404065] Epoch: [142] [540/850] eta: 0:04:29 lr: 0.002294 loss: 0.0254 (0.0277) loss_rec_all: 0.0614 (0.0638) loss_rec_sfr: 0.0924 (0.0922) loss_cl: -0.3672 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [08:32:37.650995] Epoch: [142] [560/850] eta: 0:04:12 lr: 0.002294 loss: 0.0288 (0.0277) loss_rec_all: 0.0647 (0.0638) loss_rec_sfr: 0.0985 (0.0924) loss_cl: -0.3669 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [08:32:54.938953] Epoch: [142] [580/850] eta: 0:03:54 lr: 0.002294 loss: 0.0270 (0.0278) loss_rec_all: 0.0632 (0.0638) loss_rec_sfr: 0.0688 (0.0923) loss_cl: -0.3666 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [08:33:12.195952] Epoch: [142] [600/850] eta: 0:03:37 lr: 0.002293 loss: 0.0274 (0.0278) loss_rec_all: 0.0633 (0.0638) loss_rec_sfr: 0.0899 (0.0923) loss_cl: -0.3672 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [08:33:29.437663] Epoch: [142] [620/850] eta: 0:03:19 lr: 0.002293 loss: 0.0270 (0.0277) loss_rec_all: 0.0629 (0.0638) loss_rec_sfr: 0.0805 (0.0922) loss_cl: -0.3671 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [08:33:46.704531] Epoch: [142] [640/850] eta: 0:03:02 lr: 0.002293 loss: 0.0255 (0.0277) loss_rec_all: 0.0617 (0.0638) loss_rec_sfr: 0.0716 (0.0920) loss_cl: -0.3676 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [08:34:04.011305] Epoch: [142] [660/850] eta: 0:02:45 lr: 0.002293 loss: 0.0270 (0.0277) loss_rec_all: 0.0630 (0.0638) loss_rec_sfr: 0.0945 (0.0920) loss_cl: -0.3682 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [08:34:21.263766] Epoch: [142] [680/850] eta: 0:02:27 lr: 0.002293 loss: 0.0280 (0.0277) loss_rec_all: 0.0640 (0.0638) loss_rec_sfr: 0.0950 (0.0921) loss_cl: -0.3680 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [08:34:38.472292] Epoch: [142] [700/850] eta: 0:02:10 lr: 0.002293 loss: 0.0266 (0.0277) loss_rec_all: 0.0628 (0.0638) loss_rec_sfr: 0.0967 (0.0922) loss_cl: -0.3668 (-0.3673) time: 0.8604 data: 0.0002 max mem: 29859 [08:34:55.761827] Epoch: [142] [720/850] eta: 0:01:52 lr: 0.002293 loss: 0.0252 (0.0277) loss_rec_all: 0.0614 (0.0638) loss_rec_sfr: 0.0695 (0.0921) loss_cl: -0.3662 (-0.3673) time: 0.8644 data: 0.0003 max mem: 29859 [08:35:12.989344] Epoch: [142] [740/850] eta: 0:01:35 lr: 0.002293 loss: 0.0258 (0.0277) loss_rec_all: 0.0620 (0.0638) loss_rec_sfr: 0.0690 (0.0920) loss_cl: -0.3669 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [08:35:30.326734] Epoch: [142] [760/850] eta: 0:01:18 lr: 0.002293 loss: 0.0274 (0.0277) loss_rec_all: 0.0636 (0.0638) loss_rec_sfr: 0.1108 (0.0924) loss_cl: -0.3669 (-0.3672) time: 0.8668 data: 0.0002 max mem: 29859 [08:35:47.568942] Epoch: [142] [780/850] eta: 0:01:00 lr: 0.002293 loss: 0.0286 (0.0278) loss_rec_all: 0.0648 (0.0638) loss_rec_sfr: 0.0814 (0.0925) loss_cl: -0.3672 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [08:36:04.821785] Epoch: [142] [800/850] eta: 0:00:43 lr: 0.002293 loss: 0.0306 (0.0279) loss_rec_all: 0.0667 (0.0639) loss_rec_sfr: 0.0949 (0.0928) loss_cl: -0.3669 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [08:36:22.027764] Epoch: [142] [820/850] eta: 0:00:26 lr: 0.002293 loss: 0.0286 (0.0279) loss_rec_all: 0.0649 (0.0640) loss_rec_sfr: 0.0831 (0.0929) loss_cl: -0.3680 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [08:36:39.324381] Epoch: [142] [840/850] eta: 0:00:08 lr: 0.002293 loss: 0.0320 (0.0280) loss_rec_all: 0.0679 (0.0641) loss_rec_sfr: 0.0968 (0.0931) loss_cl: -0.3678 (-0.3672) time: 0.8648 data: 0.0005 max mem: 29859 [08:36:47.062342] Epoch: [142] [849/850] eta: 0:00:00 lr: 0.002293 loss: 0.0339 (0.0281) loss_rec_all: 0.0698 (0.0641) loss_rec_sfr: 0.1133 (0.0933) loss_cl: -0.3677 (-0.3673) time: 0.8632 data: 0.0004 max mem: 29859 [08:36:47.200589] Epoch: [142] Total time: 0:12:17 (0.8677 s / it) [08:36:47.224186] Averaged stats: lr: 0.002293 loss: 0.0339 (0.0280) loss_rec_all: 0.0698 (0.0641) loss_rec_sfr: 0.1133 (0.0924) loss_cl: -0.3677 (-0.3672) [08:36:47.231458] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [08:36:51.709239] Epoch: [143] [ 0/850] eta: 1:03:25 lr: 0.002293 loss: 0.0270 (0.0270) loss_rec_all: 0.0634 (0.0634) loss_rec_sfr: 0.0603 (0.0603) loss_cl: -0.3676 (-0.3676) time: 4.4771 data: 3.2920 max mem: 29859 [08:37:08.875238] Epoch: [143] [ 20/850] eta: 0:14:15 lr: 0.002293 loss: 0.0292 (0.0313) loss_rec_all: 0.0655 (0.0675) loss_rec_sfr: 0.0788 (0.0904) loss_cl: -0.3678 (-0.3679) time: 0.8583 data: 0.0002 max mem: 29859 [08:37:26.148577] Epoch: [143] [ 40/850] eta: 0:12:48 lr: 0.002293 loss: 0.0281 (0.0304) loss_rec_all: 0.0644 (0.0666) loss_rec_sfr: 0.0778 (0.0892) loss_cl: -0.3674 (-0.3676) time: 0.8636 data: 0.0002 max mem: 29859 [08:37:43.355715] Epoch: [143] [ 60/850] eta: 0:12:06 lr: 0.002293 loss: 0.0270 (0.0293) loss_rec_all: 0.0632 (0.0655) loss_rec_sfr: 0.0738 (0.0885) loss_cl: -0.3671 (-0.3674) time: 0.8603 data: 0.0002 max mem: 29859 [08:38:00.634033] Epoch: [143] [ 80/850] eta: 0:11:37 lr: 0.002293 loss: 0.0266 (0.0291) loss_rec_all: 0.0628 (0.0652) loss_rec_sfr: 0.0777 (0.0889) loss_cl: -0.3667 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [08:38:17.877021] Epoch: [143] [100/850] eta: 0:11:13 lr: 0.002293 loss: 0.0265 (0.0287) loss_rec_all: 0.0624 (0.0648) loss_rec_sfr: 0.0954 (0.0911) loss_cl: -0.3668 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [08:38:35.130714] Epoch: [143] [120/850] eta: 0:10:50 lr: 0.002293 loss: 0.0261 (0.0284) loss_rec_all: 0.0623 (0.0645) loss_rec_sfr: 0.0897 (0.0911) loss_cl: -0.3667 (-0.3671) time: 0.8626 data: 0.0002 max mem: 29859 [08:38:52.341198] Epoch: [143] [140/850] eta: 0:10:29 lr: 0.002293 loss: 0.0263 (0.0283) loss_rec_all: 0.0624 (0.0644) loss_rec_sfr: 0.0725 (0.0898) loss_cl: -0.3665 (-0.3670) time: 0.8605 data: 0.0002 max mem: 29859 [08:39:09.688861] Epoch: [143] [160/850] eta: 0:10:10 lr: 0.002292 loss: 0.0277 (0.0283) loss_rec_all: 0.0637 (0.0643) loss_rec_sfr: 0.0953 (0.0904) loss_cl: -0.3674 (-0.3670) time: 0.8673 data: 0.0003 max mem: 29859 [08:39:27.006305] Epoch: [143] [180/850] eta: 0:09:51 lr: 0.002292 loss: 0.0260 (0.0282) loss_rec_all: 0.0618 (0.0642) loss_rec_sfr: 0.0726 (0.0900) loss_cl: -0.3674 (-0.3671) time: 0.8658 data: 0.0002 max mem: 29859 [08:39:44.245392] Epoch: [143] [200/850] eta: 0:09:32 lr: 0.002292 loss: 0.0264 (0.0281) loss_rec_all: 0.0626 (0.0641) loss_rec_sfr: 0.0959 (0.0908) loss_cl: -0.3674 (-0.3671) time: 0.8619 data: 0.0002 max mem: 29859 [08:40:01.571264] Epoch: [143] [220/850] eta: 0:09:13 lr: 0.002292 loss: 0.0261 (0.0280) loss_rec_all: 0.0623 (0.0640) loss_rec_sfr: 0.0750 (0.0905) loss_cl: -0.3677 (-0.3671) time: 0.8662 data: 0.0003 max mem: 29859 [08:40:18.850826] Epoch: [143] [240/850] eta: 0:08:55 lr: 0.002292 loss: 0.0248 (0.0277) loss_rec_all: 0.0608 (0.0638) loss_rec_sfr: 0.0691 (0.0902) loss_cl: -0.3677 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [08:40:36.094204] Epoch: [143] [260/850] eta: 0:08:37 lr: 0.002292 loss: 0.0277 (0.0279) loss_rec_all: 0.0640 (0.0639) loss_rec_sfr: 0.0972 (0.0912) loss_cl: -0.3674 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [08:40:53.378262] Epoch: [143] [280/850] eta: 0:08:19 lr: 0.002292 loss: 0.0271 (0.0279) loss_rec_all: 0.0632 (0.0640) loss_rec_sfr: 0.0820 (0.0909) loss_cl: -0.3669 (-0.3672) time: 0.8642 data: 0.0002 max mem: 29859 [08:41:10.591113] Epoch: [143] [300/850] eta: 0:08:01 lr: 0.002292 loss: 0.0267 (0.0279) loss_rec_all: 0.0626 (0.0640) loss_rec_sfr: 0.0690 (0.0902) loss_cl: -0.3666 (-0.3671) time: 0.8606 data: 0.0002 max mem: 29859 [08:41:27.852243] Epoch: [143] [320/850] eta: 0:07:43 lr: 0.002292 loss: 0.0272 (0.0279) loss_rec_all: 0.0630 (0.0639) loss_rec_sfr: 0.0749 (0.0903) loss_cl: -0.3671 (-0.3671) time: 0.8630 data: 0.0002 max mem: 29859 [08:41:45.174151] Epoch: [143] [340/850] eta: 0:07:25 lr: 0.002292 loss: 0.0260 (0.0278) loss_rec_all: 0.0624 (0.0639) loss_rec_sfr: 0.1036 (0.0906) loss_cl: -0.3679 (-0.3672) time: 0.8660 data: 0.0002 max mem: 29859 [08:42:02.421891] Epoch: [143] [360/850] eta: 0:07:07 lr: 0.002292 loss: 0.0260 (0.0278) loss_rec_all: 0.0619 (0.0638) loss_rec_sfr: 0.0981 (0.0908) loss_cl: -0.3681 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [08:42:19.634359] Epoch: [143] [380/850] eta: 0:06:50 lr: 0.002292 loss: 0.0264 (0.0277) loss_rec_all: 0.0625 (0.0638) loss_rec_sfr: 0.0919 (0.0909) loss_cl: -0.3682 (-0.3673) time: 0.8605 data: 0.0002 max mem: 29859 [08:42:36.969239] Epoch: [143] [400/850] eta: 0:06:32 lr: 0.002292 loss: 0.0287 (0.0278) loss_rec_all: 0.0648 (0.0639) loss_rec_sfr: 0.0775 (0.0909) loss_cl: -0.3674 (-0.3673) time: 0.8667 data: 0.0004 max mem: 29859 [08:42:54.195825] Epoch: [143] [420/850] eta: 0:06:14 lr: 0.002292 loss: 0.0282 (0.0279) loss_rec_all: 0.0640 (0.0640) loss_rec_sfr: 0.0798 (0.0911) loss_cl: -0.3667 (-0.3672) time: 0.8613 data: 0.0002 max mem: 29859 [08:43:11.439827] Epoch: [143] [440/850] eta: 0:05:57 lr: 0.002292 loss: 0.0286 (0.0280) loss_rec_all: 0.0648 (0.0641) loss_rec_sfr: 0.0946 (0.0913) loss_cl: -0.3661 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [08:43:28.650648] Epoch: [143] [460/850] eta: 0:05:39 lr: 0.002292 loss: 0.0285 (0.0280) loss_rec_all: 0.0644 (0.0641) loss_rec_sfr: 0.0769 (0.0914) loss_cl: -0.3668 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [08:43:45.949374] Epoch: [143] [480/850] eta: 0:05:22 lr: 0.002292 loss: 0.0277 (0.0280) loss_rec_all: 0.0635 (0.0641) loss_rec_sfr: 0.0746 (0.0916) loss_cl: -0.3668 (-0.3671) time: 0.8649 data: 0.0002 max mem: 29859 [08:44:03.170899] Epoch: [143] [500/850] eta: 0:05:04 lr: 0.002292 loss: 0.0274 (0.0280) loss_rec_all: 0.0636 (0.0641) loss_rec_sfr: 0.0810 (0.0916) loss_cl: -0.3674 (-0.3671) time: 0.8610 data: 0.0002 max mem: 29859 [08:44:20.435073] Epoch: [143] [520/850] eta: 0:04:47 lr: 0.002292 loss: 0.0268 (0.0280) loss_rec_all: 0.0628 (0.0641) loss_rec_sfr: 0.0939 (0.0917) loss_cl: -0.3679 (-0.3672) time: 0.8632 data: 0.0003 max mem: 29859 [08:44:37.645861] Epoch: [143] [540/850] eta: 0:04:29 lr: 0.002292 loss: 0.0268 (0.0280) loss_rec_all: 0.0630 (0.0641) loss_rec_sfr: 0.0748 (0.0916) loss_cl: -0.3679 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [08:44:54.911790] Epoch: [143] [560/850] eta: 0:04:12 lr: 0.002292 loss: 0.0258 (0.0280) loss_rec_all: 0.0621 (0.0641) loss_rec_sfr: 0.0676 (0.0913) loss_cl: -0.3676 (-0.3672) time: 0.8632 data: 0.0002 max mem: 29859 [08:45:12.215783] Epoch: [143] [580/850] eta: 0:03:54 lr: 0.002291 loss: 0.0270 (0.0280) loss_rec_all: 0.0629 (0.0640) loss_rec_sfr: 0.0915 (0.0913) loss_cl: -0.3672 (-0.3672) time: 0.8651 data: 0.0003 max mem: 29859 [08:45:29.525032] Epoch: [143] [600/850] eta: 0:03:37 lr: 0.002291 loss: 0.0262 (0.0279) loss_rec_all: 0.0623 (0.0640) loss_rec_sfr: 0.0995 (0.0915) loss_cl: -0.3673 (-0.3672) time: 0.8654 data: 0.0002 max mem: 29859 [08:45:46.711283] Epoch: [143] [620/850] eta: 0:03:19 lr: 0.002291 loss: 0.0260 (0.0279) loss_rec_all: 0.0622 (0.0640) loss_rec_sfr: 0.0699 (0.0913) loss_cl: -0.3678 (-0.3672) time: 0.8593 data: 0.0002 max mem: 29859 [08:46:03.968141] Epoch: [143] [640/850] eta: 0:03:02 lr: 0.002291 loss: 0.0262 (0.0279) loss_rec_all: 0.0625 (0.0640) loss_rec_sfr: 0.0725 (0.0913) loss_cl: -0.3680 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [08:46:21.289169] Epoch: [143] [660/850] eta: 0:02:44 lr: 0.002291 loss: 0.0258 (0.0279) loss_rec_all: 0.0620 (0.0639) loss_rec_sfr: 0.0674 (0.0908) loss_cl: -0.3671 (-0.3673) time: 0.8660 data: 0.0002 max mem: 29859 [08:46:38.519390] Epoch: [143] [680/850] eta: 0:02:27 lr: 0.002291 loss: 0.0268 (0.0279) loss_rec_all: 0.0629 (0.0639) loss_rec_sfr: 0.0952 (0.0910) loss_cl: -0.3663 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [08:46:55.729171] Epoch: [143] [700/850] eta: 0:02:10 lr: 0.002291 loss: 0.0245 (0.0278) loss_rec_all: 0.0605 (0.0639) loss_rec_sfr: 0.0639 (0.0909) loss_cl: -0.3664 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [08:47:13.029594] Epoch: [143] [720/850] eta: 0:01:52 lr: 0.002291 loss: 0.0255 (0.0278) loss_rec_all: 0.0617 (0.0638) loss_rec_sfr: 0.0731 (0.0907) loss_cl: -0.3670 (-0.3672) time: 0.8650 data: 0.0002 max mem: 29859 [08:47:30.259435] Epoch: [143] [740/850] eta: 0:01:35 lr: 0.002291 loss: 0.0275 (0.0278) loss_rec_all: 0.0634 (0.0638) loss_rec_sfr: 0.0923 (0.0907) loss_cl: -0.3671 (-0.3672) time: 0.8614 data: 0.0002 max mem: 29859 [08:47:47.527582] Epoch: [143] [760/850] eta: 0:01:18 lr: 0.002291 loss: 0.0265 (0.0277) loss_rec_all: 0.0626 (0.0638) loss_rec_sfr: 0.0704 (0.0906) loss_cl: -0.3672 (-0.3672) time: 0.8634 data: 0.0002 max mem: 29859 [08:48:04.794931] Epoch: [143] [780/850] eta: 0:01:00 lr: 0.002291 loss: 0.0256 (0.0277) loss_rec_all: 0.0615 (0.0638) loss_rec_sfr: 0.0703 (0.0906) loss_cl: -0.3670 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [08:48:22.030318] Epoch: [143] [800/850] eta: 0:00:43 lr: 0.002291 loss: 0.0255 (0.0277) loss_rec_all: 0.0618 (0.0638) loss_rec_sfr: 0.0709 (0.0905) loss_cl: -0.3675 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [08:48:39.319788] Epoch: [143] [820/850] eta: 0:00:26 lr: 0.002291 loss: 0.0290 (0.0277) loss_rec_all: 0.0649 (0.0638) loss_rec_sfr: 0.0764 (0.0905) loss_cl: -0.3681 (-0.3672) time: 0.8644 data: 0.0002 max mem: 29859 [08:48:56.691488] Epoch: [143] [840/850] eta: 0:00:08 lr: 0.002291 loss: 0.0284 (0.0278) loss_rec_all: 0.0648 (0.0639) loss_rec_sfr: 0.0760 (0.0905) loss_cl: -0.3684 (-0.3672) time: 0.8685 data: 0.0006 max mem: 29859 [08:49:04.432280] Epoch: [143] [849/850] eta: 0:00:00 lr: 0.002291 loss: 0.0286 (0.0278) loss_rec_all: 0.0649 (0.0639) loss_rec_sfr: 0.0783 (0.0907) loss_cl: -0.3682 (-0.3672) time: 0.8665 data: 0.0005 max mem: 29859 [08:49:04.592669] Epoch: [143] Total time: 0:12:17 (0.8675 s / it) [08:49:04.608443] Averaged stats: lr: 0.002291 loss: 0.0286 (0.0279) loss_rec_all: 0.0649 (0.0640) loss_rec_sfr: 0.0783 (0.0919) loss_cl: -0.3682 (-0.3672) [08:49:04.614695] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [08:49:08.760027] Epoch: [144] [ 0/850] eta: 0:58:42 lr: 0.002291 loss: 0.0270 (0.0270) loss_rec_all: 0.0633 (0.0633) loss_rec_sfr: 0.0639 (0.0639) loss_cl: -0.3679 (-0.3679) time: 4.1446 data: 2.4485 max mem: 29859 [08:49:26.407906] Epoch: [144] [ 20/850] eta: 0:14:21 lr: 0.002291 loss: 0.0294 (0.0300) loss_rec_all: 0.0652 (0.0660) loss_rec_sfr: 0.0848 (0.1035) loss_cl: -0.3674 (-0.3673) time: 0.8823 data: 0.0231 max mem: 29859 [08:49:43.647601] Epoch: [144] [ 40/850] eta: 0:12:51 lr: 0.002291 loss: 0.0278 (0.0295) loss_rec_all: 0.0637 (0.0655) loss_rec_sfr: 0.0957 (0.0987) loss_cl: -0.3675 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [08:50:00.973130] Epoch: [144] [ 60/850] eta: 0:12:09 lr: 0.002291 loss: 0.0283 (0.0294) loss_rec_all: 0.0644 (0.0654) loss_rec_sfr: 0.0816 (0.0971) loss_cl: -0.3672 (-0.3673) time: 0.8662 data: 0.0003 max mem: 29859 [08:50:18.309303] Epoch: [144] [ 80/850] eta: 0:11:40 lr: 0.002291 loss: 0.0274 (0.0291) loss_rec_all: 0.0636 (0.0651) loss_rec_sfr: 0.0931 (0.0969) loss_cl: -0.3669 (-0.3671) time: 0.8668 data: 0.0002 max mem: 29859 [08:50:35.568922] Epoch: [144] [100/850] eta: 0:11:15 lr: 0.002291 loss: 0.0258 (0.0286) loss_rec_all: 0.0618 (0.0646) loss_rec_sfr: 0.1087 (0.0977) loss_cl: -0.3663 (-0.3669) time: 0.8629 data: 0.0002 max mem: 29859 [08:50:52.883647] Epoch: [144] [120/850] eta: 0:10:53 lr: 0.002291 loss: 0.0262 (0.0283) loss_rec_all: 0.0627 (0.0643) loss_rec_sfr: 0.0655 (0.0956) loss_cl: -0.3671 (-0.3669) time: 0.8657 data: 0.0002 max mem: 29859 [08:51:10.102786] Epoch: [144] [140/850] eta: 0:10:31 lr: 0.002290 loss: 0.0273 (0.0283) loss_rec_all: 0.0636 (0.0643) loss_rec_sfr: 0.0989 (0.0956) loss_cl: -0.3675 (-0.3670) time: 0.8609 data: 0.0002 max mem: 29859 [08:51:27.393990] Epoch: [144] [160/850] eta: 0:10:11 lr: 0.002290 loss: 0.0272 (0.0282) loss_rec_all: 0.0635 (0.0643) loss_rec_sfr: 0.0980 (0.0960) loss_cl: -0.3681 (-0.3671) time: 0.8645 data: 0.0003 max mem: 29859 [08:51:44.674490] Epoch: [144] [180/850] eta: 0:09:52 lr: 0.002290 loss: 0.0289 (0.0283) loss_rec_all: 0.0646 (0.0643) loss_rec_sfr: 0.0748 (0.0953) loss_cl: -0.3680 (-0.3672) time: 0.8640 data: 0.0002 max mem: 29859 [08:52:01.945308] Epoch: [144] [200/850] eta: 0:09:33 lr: 0.002290 loss: 0.0291 (0.0284) loss_rec_all: 0.0653 (0.0645) loss_rec_sfr: 0.0836 (0.0956) loss_cl: -0.3680 (-0.3672) time: 0.8635 data: 0.0003 max mem: 29859 [08:52:19.217180] Epoch: [144] [220/850] eta: 0:09:14 lr: 0.002290 loss: 0.0279 (0.0285) loss_rec_all: 0.0637 (0.0645) loss_rec_sfr: 0.1132 (0.0966) loss_cl: -0.3668 (-0.3672) time: 0.8635 data: 0.0002 max mem: 29859 [08:52:36.765255] Epoch: [144] [240/850] eta: 0:08:56 lr: 0.002290 loss: 0.0281 (0.0285) loss_rec_all: 0.0643 (0.0645) loss_rec_sfr: 0.0981 (0.0966) loss_cl: -0.3672 (-0.3672) time: 0.8773 data: 0.0005 max mem: 29859 [08:52:53.990760] Epoch: [144] [260/850] eta: 0:08:38 lr: 0.002290 loss: 0.0270 (0.0284) loss_rec_all: 0.0630 (0.0645) loss_rec_sfr: 0.0960 (0.0966) loss_cl: -0.3680 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [08:53:11.250472] Epoch: [144] [280/850] eta: 0:08:20 lr: 0.002290 loss: 0.0265 (0.0284) loss_rec_all: 0.0627 (0.0644) loss_rec_sfr: 0.0703 (0.0960) loss_cl: -0.3681 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [08:53:28.496795] Epoch: [144] [300/850] eta: 0:08:02 lr: 0.002290 loss: 0.0264 (0.0283) loss_rec_all: 0.0626 (0.0644) loss_rec_sfr: 0.0903 (0.0957) loss_cl: -0.3671 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [08:53:45.899281] Epoch: [144] [320/850] eta: 0:07:44 lr: 0.002290 loss: 0.0243 (0.0281) loss_rec_all: 0.0606 (0.0642) loss_rec_sfr: 0.0703 (0.0948) loss_cl: -0.3668 (-0.3673) time: 0.8701 data: 0.0002 max mem: 29859 [08:54:03.117490] Epoch: [144] [340/850] eta: 0:07:26 lr: 0.002290 loss: 0.0252 (0.0280) loss_rec_all: 0.0610 (0.0640) loss_rec_sfr: 0.0795 (0.0945) loss_cl: -0.3662 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [08:54:20.353735] Epoch: [144] [360/850] eta: 0:07:08 lr: 0.002290 loss: 0.0267 (0.0280) loss_rec_all: 0.0628 (0.0640) loss_rec_sfr: 0.0925 (0.0946) loss_cl: -0.3666 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [08:54:37.709140] Epoch: [144] [380/850] eta: 0:06:50 lr: 0.002290 loss: 0.0278 (0.0280) loss_rec_all: 0.0638 (0.0641) loss_rec_sfr: 0.0691 (0.0943) loss_cl: -0.3672 (-0.3672) time: 0.8677 data: 0.0002 max mem: 29859 [08:54:54.987028] Epoch: [144] [400/850] eta: 0:06:33 lr: 0.002290 loss: 0.0283 (0.0280) loss_rec_all: 0.0644 (0.0641) loss_rec_sfr: 0.0989 (0.0946) loss_cl: -0.3679 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [08:55:12.230754] Epoch: [144] [420/850] eta: 0:06:15 lr: 0.002290 loss: 0.0268 (0.0280) loss_rec_all: 0.0630 (0.0641) loss_rec_sfr: 0.0794 (0.0943) loss_cl: -0.3676 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [08:55:29.579374] Epoch: [144] [440/850] eta: 0:05:57 lr: 0.002290 loss: 0.0281 (0.0280) loss_rec_all: 0.0644 (0.0641) loss_rec_sfr: 0.0842 (0.0942) loss_cl: -0.3674 (-0.3672) time: 0.8674 data: 0.0003 max mem: 29859 [08:55:46.796473] Epoch: [144] [460/850] eta: 0:05:40 lr: 0.002290 loss: 0.0283 (0.0281) loss_rec_all: 0.0640 (0.0641) loss_rec_sfr: 0.0996 (0.0945) loss_cl: -0.3670 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [08:56:04.075531] Epoch: [144] [480/850] eta: 0:05:22 lr: 0.002290 loss: 0.0253 (0.0280) loss_rec_all: 0.0615 (0.0641) loss_rec_sfr: 0.0729 (0.0939) loss_cl: -0.3670 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [08:56:21.494602] Epoch: [144] [500/850] eta: 0:05:05 lr: 0.002290 loss: 0.0256 (0.0279) loss_rec_all: 0.0619 (0.0640) loss_rec_sfr: 0.0737 (0.0938) loss_cl: -0.3670 (-0.3672) time: 0.8709 data: 0.0003 max mem: 29859 [08:56:38.733842] Epoch: [144] [520/850] eta: 0:04:47 lr: 0.002290 loss: 0.0278 (0.0279) loss_rec_all: 0.0636 (0.0640) loss_rec_sfr: 0.0897 (0.0940) loss_cl: -0.3670 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [08:56:55.945473] Epoch: [144] [540/850] eta: 0:04:30 lr: 0.002290 loss: 0.0274 (0.0280) loss_rec_all: 0.0635 (0.0640) loss_rec_sfr: 0.1032 (0.0944) loss_cl: -0.3675 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [08:57:13.366242] Epoch: [144] [560/850] eta: 0:04:12 lr: 0.002289 loss: 0.0256 (0.0279) loss_rec_all: 0.0620 (0.0640) loss_rec_sfr: 0.0714 (0.0942) loss_cl: -0.3672 (-0.3672) time: 0.8710 data: 0.0003 max mem: 29859 [08:57:30.913219] Epoch: [144] [580/850] eta: 0:03:55 lr: 0.002289 loss: 0.0270 (0.0279) loss_rec_all: 0.0629 (0.0639) loss_rec_sfr: 0.0724 (0.0940) loss_cl: -0.3675 (-0.3672) time: 0.8773 data: 0.0003 max mem: 29859 [08:57:48.140354] Epoch: [144] [600/850] eta: 0:03:37 lr: 0.002289 loss: 0.0270 (0.0279) loss_rec_all: 0.0632 (0.0639) loss_rec_sfr: 0.0956 (0.0941) loss_cl: -0.3682 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [08:58:05.353446] Epoch: [144] [620/850] eta: 0:03:20 lr: 0.002289 loss: 0.0266 (0.0279) loss_rec_all: 0.0627 (0.0639) loss_rec_sfr: 0.0791 (0.0939) loss_cl: -0.3683 (-0.3673) time: 0.8606 data: 0.0002 max mem: 29859 [08:58:22.718524] Epoch: [144] [640/850] eta: 0:03:02 lr: 0.002289 loss: 0.0286 (0.0279) loss_rec_all: 0.0648 (0.0640) loss_rec_sfr: 0.0693 (0.0938) loss_cl: -0.3677 (-0.3673) time: 0.8682 data: 0.0003 max mem: 29859 [08:58:39.970185] Epoch: [144] [660/850] eta: 0:02:45 lr: 0.002289 loss: 0.0276 (0.0280) loss_rec_all: 0.0636 (0.0640) loss_rec_sfr: 0.1033 (0.0940) loss_cl: -0.3673 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [08:58:57.269685] Epoch: [144] [680/850] eta: 0:02:27 lr: 0.002289 loss: 0.0290 (0.0280) loss_rec_all: 0.0652 (0.0641) loss_rec_sfr: 0.1176 (0.0944) loss_cl: -0.3668 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [08:59:14.642415] Epoch: [144] [700/850] eta: 0:02:10 lr: 0.002289 loss: 0.0272 (0.0280) loss_rec_all: 0.0634 (0.0641) loss_rec_sfr: 0.0908 (0.0944) loss_cl: -0.3664 (-0.3672) time: 0.8685 data: 0.0003 max mem: 29859 [08:59:31.899500] Epoch: [144] [720/850] eta: 0:01:53 lr: 0.002289 loss: 0.0273 (0.0280) loss_rec_all: 0.0634 (0.0641) loss_rec_sfr: 0.0936 (0.0942) loss_cl: -0.3667 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [08:59:49.135630] Epoch: [144] [740/850] eta: 0:01:35 lr: 0.002289 loss: 0.0284 (0.0281) loss_rec_all: 0.0643 (0.0642) loss_rec_sfr: 0.0966 (0.0942) loss_cl: -0.3670 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [09:00:06.470170] Epoch: [144] [760/850] eta: 0:01:18 lr: 0.002289 loss: 0.0265 (0.0281) loss_rec_all: 0.0626 (0.0642) loss_rec_sfr: 0.0710 (0.0939) loss_cl: -0.3671 (-0.3672) time: 0.8667 data: 0.0002 max mem: 29859 [09:00:23.673991] Epoch: [144] [780/850] eta: 0:01:00 lr: 0.002289 loss: 0.0264 (0.0281) loss_rec_all: 0.0626 (0.0641) loss_rec_sfr: 0.0933 (0.0938) loss_cl: -0.3672 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [09:00:40.930777] Epoch: [144] [800/850] eta: 0:00:43 lr: 0.002289 loss: 0.0257 (0.0280) loss_rec_all: 0.0617 (0.0641) loss_rec_sfr: 0.0681 (0.0935) loss_cl: -0.3674 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [09:00:58.213628] Epoch: [144] [820/850] eta: 0:00:26 lr: 0.002289 loss: 0.0260 (0.0280) loss_rec_all: 0.0623 (0.0641) loss_rec_sfr: 0.0650 (0.0933) loss_cl: -0.3678 (-0.3672) time: 0.8641 data: 0.0003 max mem: 29859 [09:01:15.667610] Epoch: [144] [840/850] eta: 0:00:08 lr: 0.002289 loss: 0.0268 (0.0280) loss_rec_all: 0.0629 (0.0641) loss_rec_sfr: 0.0947 (0.0931) loss_cl: -0.3682 (-0.3672) time: 0.8726 data: 0.0005 max mem: 29859 [09:01:23.431035] Epoch: [144] [849/850] eta: 0:00:00 lr: 0.002289 loss: 0.0256 (0.0280) loss_rec_all: 0.0619 (0.0640) loss_rec_sfr: 0.0685 (0.0930) loss_cl: -0.3679 (-0.3673) time: 0.8653 data: 0.0005 max mem: 29859 [09:01:23.597024] Epoch: [144] Total time: 0:12:18 (0.8694 s / it) [09:01:23.627106] Averaged stats: lr: 0.002289 loss: 0.0256 (0.0279) loss_rec_all: 0.0619 (0.0640) loss_rec_sfr: 0.0685 (0.0929) loss_cl: -0.3679 (-0.3672) [09:01:23.635019] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [09:01:28.148825] Epoch: [145] [ 0/850] eta: 1:03:56 lr: 0.002289 loss: 0.0250 (0.0250) loss_rec_all: 0.0612 (0.0612) loss_rec_sfr: 0.0610 (0.0610) loss_cl: -0.3667 (-0.3667) time: 4.5130 data: 3.2989 max mem: 29859 [09:01:45.321754] Epoch: [145] [ 20/850] eta: 0:14:17 lr: 0.002289 loss: 0.0243 (0.0256) loss_rec_all: 0.0605 (0.0618) loss_rec_sfr: 0.0696 (0.0796) loss_cl: -0.3676 (-0.3674) time: 0.8586 data: 0.0002 max mem: 29859 [09:02:02.620691] Epoch: [145] [ 40/850] eta: 0:12:50 lr: 0.002289 loss: 0.0264 (0.0261) loss_rec_all: 0.0624 (0.0622) loss_rec_sfr: 0.0922 (0.0898) loss_cl: -0.3677 (-0.3675) time: 0.8648 data: 0.0002 max mem: 29859 [09:02:19.821205] Epoch: [145] [ 60/850] eta: 0:12:07 lr: 0.002289 loss: 0.0251 (0.0260) loss_rec_all: 0.0613 (0.0621) loss_rec_sfr: 0.0673 (0.0892) loss_cl: -0.3673 (-0.3675) time: 0.8600 data: 0.0002 max mem: 29859 [09:02:37.061025] Epoch: [145] [ 80/850] eta: 0:11:37 lr: 0.002289 loss: 0.0230 (0.0255) loss_rec_all: 0.0593 (0.0617) loss_rec_sfr: 0.0677 (0.0852) loss_cl: -0.3674 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [09:02:54.317348] Epoch: [145] [100/850] eta: 0:11:13 lr: 0.002288 loss: 0.0252 (0.0258) loss_rec_all: 0.0615 (0.0619) loss_rec_sfr: 0.0863 (0.0855) loss_cl: -0.3673 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [09:03:11.675136] Epoch: [145] [120/850] eta: 0:10:51 lr: 0.002288 loss: 0.0299 (0.0265) loss_rec_all: 0.0661 (0.0626) loss_rec_sfr: 0.1230 (0.0899) loss_cl: -0.3674 (-0.3674) time: 0.8678 data: 0.0003 max mem: 29859 [09:03:28.955215] Epoch: [145] [140/850] eta: 0:10:30 lr: 0.002288 loss: 0.0348 (0.0278) loss_rec_all: 0.0709 (0.0639) loss_rec_sfr: 0.1089 (0.0942) loss_cl: -0.3674 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [09:03:46.270489] Epoch: [145] [160/850] eta: 0:10:11 lr: 0.002288 loss: 0.0368 (0.0289) loss_rec_all: 0.0727 (0.0649) loss_rec_sfr: 0.0986 (0.0960) loss_cl: -0.3670 (-0.3673) time: 0.8657 data: 0.0003 max mem: 29859 [09:04:03.524643] Epoch: [145] [180/850] eta: 0:09:51 lr: 0.002288 loss: 0.0326 (0.0293) loss_rec_all: 0.0685 (0.0654) loss_rec_sfr: 0.0889 (0.0973) loss_cl: -0.3663 (-0.3672) time: 0.8627 data: 0.0003 max mem: 29859 [09:04:20.769700] Epoch: [145] [200/850] eta: 0:09:32 lr: 0.002288 loss: 0.0307 (0.0295) loss_rec_all: 0.0666 (0.0656) loss_rec_sfr: 0.1014 (0.0979) loss_cl: -0.3668 (-0.3671) time: 0.8622 data: 0.0002 max mem: 29859 [09:04:38.000720] Epoch: [145] [220/850] eta: 0:09:14 lr: 0.002288 loss: 0.0287 (0.0294) loss_rec_all: 0.0646 (0.0655) loss_rec_sfr: 0.0794 (0.0974) loss_cl: -0.3677 (-0.3672) time: 0.8615 data: 0.0003 max mem: 29859 [09:04:55.509178] Epoch: [145] [240/850] eta: 0:08:56 lr: 0.002288 loss: 0.0265 (0.0293) loss_rec_all: 0.0630 (0.0654) loss_rec_sfr: 0.0654 (0.0972) loss_cl: -0.3685 (-0.3673) time: 0.8754 data: 0.0003 max mem: 29859 [09:05:12.717365] Epoch: [145] [260/850] eta: 0:08:37 lr: 0.002288 loss: 0.0282 (0.0293) loss_rec_all: 0.0640 (0.0653) loss_rec_sfr: 0.0932 (0.0971) loss_cl: -0.3677 (-0.3673) time: 0.8604 data: 0.0002 max mem: 29859 [09:05:29.984600] Epoch: [145] [280/850] eta: 0:08:19 lr: 0.002288 loss: 0.0266 (0.0292) loss_rec_all: 0.0627 (0.0652) loss_rec_sfr: 0.0935 (0.0969) loss_cl: -0.3676 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [09:05:47.487365] Epoch: [145] [300/850] eta: 0:08:02 lr: 0.002288 loss: 0.0256 (0.0289) loss_rec_all: 0.0618 (0.0650) loss_rec_sfr: 0.0692 (0.0959) loss_cl: -0.3673 (-0.3673) time: 0.8750 data: 0.0003 max mem: 29859 [09:06:04.745686] Epoch: [145] [320/850] eta: 0:07:44 lr: 0.002288 loss: 0.0273 (0.0288) loss_rec_all: 0.0635 (0.0649) loss_rec_sfr: 0.0950 (0.0961) loss_cl: -0.3665 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [09:06:21.958054] Epoch: [145] [340/850] eta: 0:07:26 lr: 0.002288 loss: 0.0246 (0.0287) loss_rec_all: 0.0609 (0.0647) loss_rec_sfr: 0.0750 (0.0955) loss_cl: -0.3667 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [09:06:39.246095] Epoch: [145] [360/850] eta: 0:07:08 lr: 0.002288 loss: 0.0250 (0.0286) loss_rec_all: 0.0613 (0.0646) loss_rec_sfr: 0.0917 (0.0950) loss_cl: -0.3674 (-0.3672) time: 0.8644 data: 0.0002 max mem: 29859 [09:06:56.793840] Epoch: [145] [380/850] eta: 0:06:50 lr: 0.002288 loss: 0.0254 (0.0284) loss_rec_all: 0.0614 (0.0645) loss_rec_sfr: 0.0930 (0.0950) loss_cl: -0.3680 (-0.3673) time: 0.8773 data: 0.0003 max mem: 29859 [09:07:14.050112] Epoch: [145] [400/850] eta: 0:06:33 lr: 0.002288 loss: 0.0249 (0.0283) loss_rec_all: 0.0612 (0.0644) loss_rec_sfr: 0.0695 (0.0945) loss_cl: -0.3681 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [09:07:31.262997] Epoch: [145] [420/850] eta: 0:06:15 lr: 0.002288 loss: 0.0242 (0.0282) loss_rec_all: 0.0605 (0.0643) loss_rec_sfr: 0.0696 (0.0940) loss_cl: -0.3677 (-0.3673) time: 0.8606 data: 0.0002 max mem: 29859 [09:07:48.597485] Epoch: [145] [440/850] eta: 0:05:57 lr: 0.002288 loss: 0.0244 (0.0280) loss_rec_all: 0.0605 (0.0641) loss_rec_sfr: 0.0628 (0.0931) loss_cl: -0.3676 (-0.3674) time: 0.8667 data: 0.0002 max mem: 29859 [09:08:05.849978] Epoch: [145] [460/850] eta: 0:05:40 lr: 0.002288 loss: 0.0276 (0.0280) loss_rec_all: 0.0634 (0.0641) loss_rec_sfr: 0.0960 (0.0934) loss_cl: -0.3676 (-0.3674) time: 0.8626 data: 0.0003 max mem: 29859 [09:08:23.373852] Epoch: [145] [480/850] eta: 0:05:22 lr: 0.002288 loss: 0.0244 (0.0279) loss_rec_all: 0.0603 (0.0640) loss_rec_sfr: 0.1031 (0.0937) loss_cl: -0.3675 (-0.3674) time: 0.8761 data: 0.0003 max mem: 29859 [09:08:40.652441] Epoch: [145] [500/850] eta: 0:05:05 lr: 0.002288 loss: 0.0254 (0.0278) loss_rec_all: 0.0614 (0.0639) loss_rec_sfr: 0.0939 (0.0937) loss_cl: -0.3673 (-0.3674) time: 0.8638 data: 0.0003 max mem: 29859 [09:08:57.905962] Epoch: [145] [520/850] eta: 0:04:47 lr: 0.002287 loss: 0.0258 (0.0278) loss_rec_all: 0.0619 (0.0639) loss_rec_sfr: 0.0750 (0.0935) loss_cl: -0.3667 (-0.3674) time: 0.8626 data: 0.0002 max mem: 29859 [09:09:15.149747] Epoch: [145] [540/850] eta: 0:04:30 lr: 0.002287 loss: 0.0261 (0.0277) loss_rec_all: 0.0623 (0.0638) loss_rec_sfr: 0.0719 (0.0934) loss_cl: -0.3668 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [09:09:32.763916] Epoch: [145] [560/850] eta: 0:04:12 lr: 0.002287 loss: 0.0266 (0.0277) loss_rec_all: 0.0626 (0.0638) loss_rec_sfr: 0.1051 (0.0937) loss_cl: -0.3667 (-0.3673) time: 0.8806 data: 0.0004 max mem: 29859 [09:09:50.010559] Epoch: [145] [580/850] eta: 0:03:55 lr: 0.002287 loss: 0.0267 (0.0277) loss_rec_all: 0.0629 (0.0638) loss_rec_sfr: 0.0693 (0.0934) loss_cl: -0.3667 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [09:10:07.254871] Epoch: [145] [600/850] eta: 0:03:37 lr: 0.002287 loss: 0.0287 (0.0278) loss_rec_all: 0.0646 (0.0639) loss_rec_sfr: 0.0998 (0.0935) loss_cl: -0.3665 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [09:10:24.497236] Epoch: [145] [620/850] eta: 0:03:20 lr: 0.002287 loss: 0.0294 (0.0278) loss_rec_all: 0.0652 (0.0639) loss_rec_sfr: 0.0726 (0.0935) loss_cl: -0.3665 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [09:10:41.967887] Epoch: [145] [640/850] eta: 0:03:02 lr: 0.002287 loss: 0.0292 (0.0279) loss_rec_all: 0.0655 (0.0640) loss_rec_sfr: 0.0992 (0.0935) loss_cl: -0.3674 (-0.3672) time: 0.8734 data: 0.0003 max mem: 29859 [09:10:59.217296] Epoch: [145] [660/850] eta: 0:02:45 lr: 0.002287 loss: 0.0286 (0.0280) loss_rec_all: 0.0645 (0.0641) loss_rec_sfr: 0.1022 (0.0938) loss_cl: -0.3682 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [09:11:16.454031] Epoch: [145] [680/850] eta: 0:02:27 lr: 0.002287 loss: 0.0269 (0.0280) loss_rec_all: 0.0629 (0.0641) loss_rec_sfr: 0.0940 (0.0938) loss_cl: -0.3687 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [09:11:33.704245] Epoch: [145] [700/850] eta: 0:02:10 lr: 0.002287 loss: 0.0262 (0.0280) loss_rec_all: 0.0624 (0.0641) loss_rec_sfr: 0.0921 (0.0937) loss_cl: -0.3687 (-0.3673) time: 0.8624 data: 0.0003 max mem: 29859 [09:11:50.957790] Epoch: [145] [720/850] eta: 0:01:53 lr: 0.002287 loss: 0.0266 (0.0280) loss_rec_all: 0.0630 (0.0641) loss_rec_sfr: 0.0720 (0.0936) loss_cl: -0.3677 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [09:12:08.196975] Epoch: [145] [740/850] eta: 0:01:35 lr: 0.002287 loss: 0.0259 (0.0279) loss_rec_all: 0.0621 (0.0640) loss_rec_sfr: 0.0880 (0.0936) loss_cl: -0.3664 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [09:12:25.474376] Epoch: [145] [760/850] eta: 0:01:18 lr: 0.002287 loss: 0.0251 (0.0279) loss_rec_all: 0.0612 (0.0640) loss_rec_sfr: 0.0626 (0.0932) loss_cl: -0.3663 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [09:12:42.708992] Epoch: [145] [780/850] eta: 0:01:00 lr: 0.002287 loss: 0.0255 (0.0279) loss_rec_all: 0.0618 (0.0639) loss_rec_sfr: 0.0748 (0.0933) loss_cl: -0.3671 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [09:12:59.962219] Epoch: [145] [800/850] eta: 0:00:43 lr: 0.002287 loss: 0.0271 (0.0279) loss_rec_all: 0.0633 (0.0640) loss_rec_sfr: 0.0983 (0.0935) loss_cl: -0.3668 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [09:13:17.177225] Epoch: [145] [820/850] eta: 0:00:26 lr: 0.002287 loss: 0.0272 (0.0279) loss_rec_all: 0.0633 (0.0639) loss_rec_sfr: 0.0792 (0.0935) loss_cl: -0.3674 (-0.3673) time: 0.8607 data: 0.0002 max mem: 29859 [09:13:34.474085] Epoch: [145] [840/850] eta: 0:00:08 lr: 0.002287 loss: 0.0259 (0.0278) loss_rec_all: 0.0619 (0.0639) loss_rec_sfr: 0.0730 (0.0934) loss_cl: -0.3674 (-0.3673) time: 0.8648 data: 0.0006 max mem: 29859 [09:13:42.213496] Epoch: [145] [849/850] eta: 0:00:00 lr: 0.002287 loss: 0.0274 (0.0278) loss_rec_all: 0.0636 (0.0639) loss_rec_sfr: 0.0918 (0.0936) loss_cl: -0.3674 (-0.3673) time: 0.8626 data: 0.0005 max mem: 29859 [09:13:42.338909] Epoch: [145] Total time: 0:12:18 (0.8691 s / it) [09:13:42.366676] Averaged stats: lr: 0.002287 loss: 0.0274 (0.0277) loss_rec_all: 0.0636 (0.0637) loss_rec_sfr: 0.0918 (0.0920) loss_cl: -0.3674 (-0.3672) [09:13:42.373336] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [09:13:46.973905] Epoch: [146] [ 0/850] eta: 1:05:09 lr: 0.002287 loss: 0.0313 (0.0313) loss_rec_all: 0.0675 (0.0675) loss_rec_sfr: 0.0930 (0.0930) loss_cl: -0.3687 (-0.3687) time: 4.5998 data: 3.3293 max mem: 29859 [09:14:04.134559] Epoch: [146] [ 20/850] eta: 0:14:20 lr: 0.002287 loss: 0.0258 (0.0267) loss_rec_all: 0.0618 (0.0628) loss_rec_sfr: 0.0935 (0.0901) loss_cl: -0.3675 (-0.3675) time: 0.8580 data: 0.0002 max mem: 29859 [09:14:21.413566] Epoch: [146] [ 40/850] eta: 0:12:51 lr: 0.002287 loss: 0.0264 (0.0278) loss_rec_all: 0.0627 (0.0639) loss_rec_sfr: 0.1027 (0.0923) loss_cl: -0.3671 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [09:14:38.636580] Epoch: [146] [ 60/850] eta: 0:12:08 lr: 0.002286 loss: 0.0297 (0.0286) loss_rec_all: 0.0655 (0.0647) loss_rec_sfr: 0.1048 (0.0960) loss_cl: -0.3682 (-0.3675) time: 0.8611 data: 0.0002 max mem: 29859 [09:14:55.865484] Epoch: [146] [ 80/850] eta: 0:11:38 lr: 0.002286 loss: 0.0262 (0.0283) loss_rec_all: 0.0626 (0.0644) loss_rec_sfr: 0.0704 (0.0923) loss_cl: -0.3678 (-0.3675) time: 0.8614 data: 0.0002 max mem: 29859 [09:15:13.100171] Epoch: [146] [100/850] eta: 0:11:13 lr: 0.002286 loss: 0.0259 (0.0280) loss_rec_all: 0.0618 (0.0641) loss_rec_sfr: 0.0663 (0.0907) loss_cl: -0.3674 (-0.3675) time: 0.8616 data: 0.0002 max mem: 29859 [09:15:30.350615] Epoch: [146] [120/850] eta: 0:10:51 lr: 0.002286 loss: 0.0278 (0.0282) loss_rec_all: 0.0638 (0.0643) loss_rec_sfr: 0.1034 (0.0922) loss_cl: -0.3671 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [09:15:47.565024] Epoch: [146] [140/850] eta: 0:10:30 lr: 0.002286 loss: 0.0270 (0.0281) loss_rec_all: 0.0626 (0.0642) loss_rec_sfr: 0.0930 (0.0925) loss_cl: -0.3670 (-0.3674) time: 0.8607 data: 0.0002 max mem: 29859 [09:16:04.811662] Epoch: [146] [160/850] eta: 0:10:10 lr: 0.002286 loss: 0.0265 (0.0280) loss_rec_all: 0.0624 (0.0641) loss_rec_sfr: 0.0966 (0.0929) loss_cl: -0.3668 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [09:16:22.068392] Epoch: [146] [180/850] eta: 0:09:51 lr: 0.002286 loss: 0.0259 (0.0279) loss_rec_all: 0.0618 (0.0640) loss_rec_sfr: 0.0919 (0.0928) loss_cl: -0.3668 (-0.3672) time: 0.8628 data: 0.0003 max mem: 29859 [09:16:39.302463] Epoch: [146] [200/850] eta: 0:09:32 lr: 0.002286 loss: 0.0262 (0.0278) loss_rec_all: 0.0621 (0.0639) loss_rec_sfr: 0.0898 (0.0925) loss_cl: -0.3671 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [09:16:56.524685] Epoch: [146] [220/850] eta: 0:09:13 lr: 0.002286 loss: 0.0254 (0.0277) loss_rec_all: 0.0617 (0.0638) loss_rec_sfr: 0.0693 (0.0915) loss_cl: -0.3673 (-0.3672) time: 0.8611 data: 0.0002 max mem: 29859 [09:17:13.898389] Epoch: [146] [240/850] eta: 0:08:55 lr: 0.002286 loss: 0.0267 (0.0277) loss_rec_all: 0.0629 (0.0638) loss_rec_sfr: 0.1054 (0.0923) loss_cl: -0.3674 (-0.3673) time: 0.8686 data: 0.0002 max mem: 29859 [09:17:31.118054] Epoch: [146] [260/850] eta: 0:08:37 lr: 0.002286 loss: 0.0264 (0.0277) loss_rec_all: 0.0623 (0.0637) loss_rec_sfr: 0.0708 (0.0925) loss_cl: -0.3677 (-0.3673) time: 0.8609 data: 0.0002 max mem: 29859 [09:17:48.359354] Epoch: [146] [280/850] eta: 0:08:18 lr: 0.002286 loss: 0.0267 (0.0276) loss_rec_all: 0.0628 (0.0637) loss_rec_sfr: 0.0771 (0.0922) loss_cl: -0.3667 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [09:18:05.637387] Epoch: [146] [300/850] eta: 0:08:01 lr: 0.002286 loss: 0.0265 (0.0276) loss_rec_all: 0.0623 (0.0637) loss_rec_sfr: 0.1013 (0.0930) loss_cl: -0.3661 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [09:18:22.874487] Epoch: [146] [320/850] eta: 0:07:43 lr: 0.002286 loss: 0.0270 (0.0276) loss_rec_all: 0.0627 (0.0637) loss_rec_sfr: 0.1001 (0.0932) loss_cl: -0.3664 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [09:18:40.087407] Epoch: [146] [340/850] eta: 0:07:25 lr: 0.002286 loss: 0.0257 (0.0275) loss_rec_all: 0.0619 (0.0636) loss_rec_sfr: 0.0692 (0.0930) loss_cl: -0.3671 (-0.3671) time: 0.8606 data: 0.0002 max mem: 29859 [09:18:57.378635] Epoch: [146] [360/850] eta: 0:07:07 lr: 0.002286 loss: 0.0257 (0.0275) loss_rec_all: 0.0620 (0.0635) loss_rec_sfr: 0.0735 (0.0928) loss_cl: -0.3680 (-0.3672) time: 0.8645 data: 0.0002 max mem: 29859 [09:19:14.579908] Epoch: [146] [380/850] eta: 0:06:49 lr: 0.002286 loss: 0.0249 (0.0274) loss_rec_all: 0.0612 (0.0635) loss_rec_sfr: 0.0740 (0.0924) loss_cl: -0.3681 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [09:19:31.837934] Epoch: [146] [400/850] eta: 0:06:32 lr: 0.002286 loss: 0.0268 (0.0275) loss_rec_all: 0.0629 (0.0635) loss_rec_sfr: 0.0955 (0.0925) loss_cl: -0.3681 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [09:19:49.059646] Epoch: [146] [420/850] eta: 0:06:14 lr: 0.002286 loss: 0.0259 (0.0274) loss_rec_all: 0.0622 (0.0635) loss_rec_sfr: 0.0732 (0.0923) loss_cl: -0.3675 (-0.3673) time: 0.8609 data: 0.0002 max mem: 29859 [09:20:06.358319] Epoch: [146] [440/850] eta: 0:05:56 lr: 0.002286 loss: 0.0290 (0.0275) loss_rec_all: 0.0648 (0.0636) loss_rec_sfr: 0.0943 (0.0925) loss_cl: -0.3673 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [09:20:23.562585] Epoch: [146] [460/850] eta: 0:05:39 lr: 0.002286 loss: 0.0281 (0.0276) loss_rec_all: 0.0639 (0.0637) loss_rec_sfr: 0.0844 (0.0926) loss_cl: -0.3675 (-0.3673) time: 0.8602 data: 0.0001 max mem: 29859 [09:20:40.821129] Epoch: [146] [480/850] eta: 0:05:21 lr: 0.002285 loss: 0.0272 (0.0276) loss_rec_all: 0.0634 (0.0637) loss_rec_sfr: 0.0968 (0.0927) loss_cl: -0.3675 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [09:20:58.057088] Epoch: [146] [500/850] eta: 0:05:04 lr: 0.002285 loss: 0.0260 (0.0276) loss_rec_all: 0.0623 (0.0636) loss_rec_sfr: 0.0746 (0.0927) loss_cl: -0.3672 (-0.3673) time: 0.8618 data: 0.0001 max mem: 29859 [09:21:15.313288] Epoch: [146] [520/850] eta: 0:04:46 lr: 0.002285 loss: 0.0257 (0.0275) loss_rec_all: 0.0619 (0.0636) loss_rec_sfr: 0.0715 (0.0925) loss_cl: -0.3669 (-0.3673) time: 0.8628 data: 0.0001 max mem: 29859 [09:21:32.515316] Epoch: [146] [540/850] eta: 0:04:29 lr: 0.002285 loss: 0.0252 (0.0275) loss_rec_all: 0.0611 (0.0636) loss_rec_sfr: 0.0669 (0.0922) loss_cl: -0.3670 (-0.3673) time: 0.8601 data: 0.0001 max mem: 29859 [09:21:49.839942] Epoch: [146] [560/850] eta: 0:04:11 lr: 0.002285 loss: 0.0267 (0.0275) loss_rec_all: 0.0627 (0.0636) loss_rec_sfr: 0.0941 (0.0923) loss_cl: -0.3675 (-0.3673) time: 0.8662 data: 0.0002 max mem: 29859 [09:22:07.042684] Epoch: [146] [580/850] eta: 0:03:54 lr: 0.002285 loss: 0.0278 (0.0276) loss_rec_all: 0.0636 (0.0637) loss_rec_sfr: 0.1039 (0.0925) loss_cl: -0.3671 (-0.3673) time: 0.8601 data: 0.0002 max mem: 29859 [09:22:24.295927] Epoch: [146] [600/850] eta: 0:03:37 lr: 0.002285 loss: 0.0256 (0.0275) loss_rec_all: 0.0620 (0.0636) loss_rec_sfr: 0.0643 (0.0921) loss_cl: -0.3676 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [09:22:41.541234] Epoch: [146] [620/850] eta: 0:03:19 lr: 0.002285 loss: 0.0253 (0.0275) loss_rec_all: 0.0614 (0.0636) loss_rec_sfr: 0.0932 (0.0921) loss_cl: -0.3667 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [09:22:58.784028] Epoch: [146] [640/850] eta: 0:03:02 lr: 0.002285 loss: 0.0272 (0.0275) loss_rec_all: 0.0634 (0.0636) loss_rec_sfr: 0.0925 (0.0921) loss_cl: -0.3672 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [09:23:15.986429] Epoch: [146] [660/850] eta: 0:02:44 lr: 0.002285 loss: 0.0256 (0.0275) loss_rec_all: 0.0619 (0.0636) loss_rec_sfr: 0.0690 (0.0920) loss_cl: -0.3670 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [09:23:33.359508] Epoch: [146] [680/850] eta: 0:02:27 lr: 0.002285 loss: 0.0256 (0.0275) loss_rec_all: 0.0618 (0.0636) loss_rec_sfr: 0.0925 (0.0919) loss_cl: -0.3678 (-0.3673) time: 0.8686 data: 0.0002 max mem: 29859 [09:23:50.574621] Epoch: [146] [700/850] eta: 0:02:10 lr: 0.002285 loss: 0.0253 (0.0274) loss_rec_all: 0.0615 (0.0635) loss_rec_sfr: 0.0992 (0.0921) loss_cl: -0.3672 (-0.3673) time: 0.8607 data: 0.0002 max mem: 29859 [09:24:07.812893] Epoch: [146] [720/850] eta: 0:01:52 lr: 0.002285 loss: 0.0253 (0.0274) loss_rec_all: 0.0614 (0.0635) loss_rec_sfr: 0.0929 (0.0920) loss_cl: -0.3668 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [09:24:25.021849] Epoch: [146] [740/850] eta: 0:01:35 lr: 0.002285 loss: 0.0275 (0.0274) loss_rec_all: 0.0636 (0.0635) loss_rec_sfr: 0.0804 (0.0922) loss_cl: -0.3665 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [09:24:42.283011] Epoch: [146] [760/850] eta: 0:01:18 lr: 0.002285 loss: 0.0291 (0.0275) loss_rec_all: 0.0652 (0.0636) loss_rec_sfr: 0.1067 (0.0926) loss_cl: -0.3672 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [09:24:59.535104] Epoch: [146] [780/850] eta: 0:01:00 lr: 0.002285 loss: 0.0286 (0.0276) loss_rec_all: 0.0649 (0.0636) loss_rec_sfr: 0.0721 (0.0923) loss_cl: -0.3671 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [09:25:16.873381] Epoch: [146] [800/850] eta: 0:00:43 lr: 0.002285 loss: 0.0293 (0.0276) loss_rec_all: 0.0655 (0.0637) loss_rec_sfr: 0.0742 (0.0923) loss_cl: -0.3675 (-0.3672) time: 0.8668 data: 0.0002 max mem: 29859 [09:25:34.104415] Epoch: [146] [820/850] eta: 0:00:26 lr: 0.002285 loss: 0.0317 (0.0277) loss_rec_all: 0.0675 (0.0638) loss_rec_sfr: 0.1001 (0.0927) loss_cl: -0.3676 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [09:25:51.375120] Epoch: [146] [840/850] eta: 0:00:08 lr: 0.002285 loss: 0.0290 (0.0278) loss_rec_all: 0.0653 (0.0639) loss_rec_sfr: 0.0964 (0.0929) loss_cl: -0.3678 (-0.3673) time: 0.8635 data: 0.0015 max mem: 29859 [09:25:59.121617] Epoch: [146] [849/850] eta: 0:00:00 lr: 0.002285 loss: 0.0296 (0.0278) loss_rec_all: 0.0654 (0.0639) loss_rec_sfr: 0.1006 (0.0930) loss_cl: -0.3675 (-0.3672) time: 0.8631 data: 0.0015 max mem: 29859 [09:25:59.267452] Epoch: [146] Total time: 0:12:16 (0.8669 s / it) [09:25:59.280664] Averaged stats: lr: 0.002285 loss: 0.0296 (0.0278) loss_rec_all: 0.0654 (0.0639) loss_rec_sfr: 0.1006 (0.0929) loss_cl: -0.3675 (-0.3672) [09:25:59.290220] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [09:26:03.659775] Epoch: [147] [ 0/850] eta: 1:01:53 lr: 0.002285 loss: 0.0303 (0.0303) loss_rec_all: 0.0660 (0.0660) loss_rec_sfr: 0.1422 (0.1422) loss_cl: -0.3672 (-0.3672) time: 4.3683 data: 3.5124 max mem: 29859 [09:26:20.855003] Epoch: [147] [ 20/850] eta: 0:14:12 lr: 0.002284 loss: 0.0277 (0.0281) loss_rec_all: 0.0639 (0.0641) loss_rec_sfr: 0.0838 (0.0940) loss_cl: -0.3671 (-0.3671) time: 0.8597 data: 0.0002 max mem: 29859 [09:26:38.104788] Epoch: [147] [ 40/850] eta: 0:12:46 lr: 0.002284 loss: 0.0253 (0.0272) loss_rec_all: 0.0615 (0.0633) loss_rec_sfr: 0.0719 (0.0905) loss_cl: -0.3667 (-0.3670) time: 0.8624 data: 0.0002 max mem: 29859 [09:26:55.313066] Epoch: [147] [ 60/850] eta: 0:12:05 lr: 0.002284 loss: 0.0260 (0.0273) loss_rec_all: 0.0620 (0.0634) loss_rec_sfr: 0.0740 (0.0894) loss_cl: -0.3668 (-0.3669) time: 0.8604 data: 0.0002 max mem: 29859 [09:27:12.574730] Epoch: [147] [ 80/850] eta: 0:11:36 lr: 0.002284 loss: 0.0251 (0.0269) loss_rec_all: 0.0610 (0.0630) loss_rec_sfr: 0.0727 (0.0882) loss_cl: -0.3670 (-0.3669) time: 0.8630 data: 0.0002 max mem: 29859 [09:27:29.818995] Epoch: [147] [100/850] eta: 0:11:12 lr: 0.002284 loss: 0.0269 (0.0270) loss_rec_all: 0.0630 (0.0631) loss_rec_sfr: 0.0965 (0.0901) loss_cl: -0.3676 (-0.3671) time: 0.8622 data: 0.0002 max mem: 29859 [09:27:47.031988] Epoch: [147] [120/850] eta: 0:10:49 lr: 0.002284 loss: 0.0253 (0.0269) loss_rec_all: 0.0616 (0.0630) loss_rec_sfr: 0.0960 (0.0920) loss_cl: -0.3677 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [09:28:04.229279] Epoch: [147] [140/850] eta: 0:10:29 lr: 0.002284 loss: 0.0249 (0.0268) loss_rec_all: 0.0609 (0.0628) loss_rec_sfr: 0.0712 (0.0915) loss_cl: -0.3673 (-0.3672) time: 0.8598 data: 0.0002 max mem: 29859 [09:28:21.492502] Epoch: [147] [160/850] eta: 0:10:09 lr: 0.002284 loss: 0.0245 (0.0267) loss_rec_all: 0.0608 (0.0628) loss_rec_sfr: 0.0914 (0.0914) loss_cl: -0.3676 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [09:28:38.697633] Epoch: [147] [180/850] eta: 0:09:50 lr: 0.002284 loss: 0.0245 (0.0266) loss_rec_all: 0.0608 (0.0626) loss_rec_sfr: 0.1019 (0.0919) loss_cl: -0.3678 (-0.3673) time: 0.8602 data: 0.0002 max mem: 29859 [09:28:55.936967] Epoch: [147] [200/850] eta: 0:09:31 lr: 0.002284 loss: 0.0236 (0.0264) loss_rec_all: 0.0599 (0.0625) loss_rec_sfr: 0.0688 (0.0909) loss_cl: -0.3673 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [09:29:13.192856] Epoch: [147] [220/850] eta: 0:09:12 lr: 0.002284 loss: 0.0291 (0.0268) loss_rec_all: 0.0651 (0.0629) loss_rec_sfr: 0.0989 (0.0916) loss_cl: -0.3675 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [09:29:30.428351] Epoch: [147] [240/850] eta: 0:08:54 lr: 0.002284 loss: 0.0281 (0.0270) loss_rec_all: 0.0640 (0.0631) loss_rec_sfr: 0.1001 (0.0917) loss_cl: -0.3670 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [09:29:47.640319] Epoch: [147] [260/850] eta: 0:08:36 lr: 0.002284 loss: 0.0284 (0.0272) loss_rec_all: 0.0642 (0.0632) loss_rec_sfr: 0.1041 (0.0926) loss_cl: -0.3667 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [09:30:04.926175] Epoch: [147] [280/850] eta: 0:08:18 lr: 0.002284 loss: 0.0310 (0.0276) loss_rec_all: 0.0670 (0.0636) loss_rec_sfr: 0.0773 (0.0926) loss_cl: -0.3666 (-0.3672) time: 0.8642 data: 0.0002 max mem: 29859 [09:30:22.172339] Epoch: [147] [300/850] eta: 0:08:00 lr: 0.002284 loss: 0.0315 (0.0279) loss_rec_all: 0.0676 (0.0640) loss_rec_sfr: 0.0856 (0.0930) loss_cl: -0.3669 (-0.3671) time: 0.8623 data: 0.0002 max mem: 29859 [09:30:39.410714] Epoch: [147] [320/850] eta: 0:07:42 lr: 0.002284 loss: 0.0311 (0.0282) loss_rec_all: 0.0673 (0.0643) loss_rec_sfr: 0.1023 (0.0936) loss_cl: -0.3674 (-0.3671) time: 0.8619 data: 0.0002 max mem: 29859 [09:30:56.681364] Epoch: [147] [340/850] eta: 0:07:24 lr: 0.002284 loss: 0.0302 (0.0283) loss_rec_all: 0.0661 (0.0644) loss_rec_sfr: 0.0821 (0.0938) loss_cl: -0.3675 (-0.3672) time: 0.8635 data: 0.0003 max mem: 29859 [09:31:14.123360] Epoch: [147] [360/850] eta: 0:07:07 lr: 0.002284 loss: 0.0282 (0.0284) loss_rec_all: 0.0642 (0.0644) loss_rec_sfr: 0.0807 (0.0938) loss_cl: -0.3677 (-0.3672) time: 0.8721 data: 0.0003 max mem: 29859 [09:31:31.316805] Epoch: [147] [380/850] eta: 0:06:49 lr: 0.002284 loss: 0.0291 (0.0284) loss_rec_all: 0.0650 (0.0645) loss_rec_sfr: 0.0845 (0.0941) loss_cl: -0.3671 (-0.3672) time: 0.8596 data: 0.0002 max mem: 29859 [09:31:48.577983] Epoch: [147] [400/850] eta: 0:06:31 lr: 0.002284 loss: 0.0274 (0.0284) loss_rec_all: 0.0633 (0.0645) loss_rec_sfr: 0.1020 (0.0941) loss_cl: -0.3677 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [09:32:05.805375] Epoch: [147] [420/850] eta: 0:06:14 lr: 0.002283 loss: 0.0271 (0.0284) loss_rec_all: 0.0631 (0.0645) loss_rec_sfr: 0.0957 (0.0941) loss_cl: -0.3676 (-0.3672) time: 0.8613 data: 0.0002 max mem: 29859 [09:32:23.052644] Epoch: [147] [440/850] eta: 0:05:56 lr: 0.002283 loss: 0.0281 (0.0284) loss_rec_all: 0.0640 (0.0645) loss_rec_sfr: 0.0979 (0.0944) loss_cl: -0.3673 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [09:32:40.259459] Epoch: [147] [460/850] eta: 0:05:39 lr: 0.002283 loss: 0.0260 (0.0284) loss_rec_all: 0.0623 (0.0644) loss_rec_sfr: 0.0774 (0.0942) loss_cl: -0.3676 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [09:32:57.584996] Epoch: [147] [480/850] eta: 0:05:21 lr: 0.002283 loss: 0.0247 (0.0283) loss_rec_all: 0.0608 (0.0643) loss_rec_sfr: 0.0668 (0.0937) loss_cl: -0.3673 (-0.3672) time: 0.8662 data: 0.0002 max mem: 29859 [09:33:14.778366] Epoch: [147] [500/850] eta: 0:05:04 lr: 0.002283 loss: 0.0248 (0.0282) loss_rec_all: 0.0608 (0.0642) loss_rec_sfr: 0.0735 (0.0935) loss_cl: -0.3667 (-0.3672) time: 0.8596 data: 0.0002 max mem: 29859 [09:33:32.028625] Epoch: [147] [520/850] eta: 0:04:46 lr: 0.002283 loss: 0.0247 (0.0281) loss_rec_all: 0.0606 (0.0641) loss_rec_sfr: 0.0915 (0.0936) loss_cl: -0.3672 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [09:33:49.267842] Epoch: [147] [540/850] eta: 0:04:29 lr: 0.002283 loss: 0.0236 (0.0280) loss_rec_all: 0.0601 (0.0640) loss_rec_sfr: 0.0910 (0.0935) loss_cl: -0.3677 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [09:34:06.513789] Epoch: [147] [560/850] eta: 0:04:11 lr: 0.002283 loss: 0.0262 (0.0279) loss_rec_all: 0.0622 (0.0640) loss_rec_sfr: 0.1044 (0.0939) loss_cl: -0.3683 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [09:34:23.714344] Epoch: [147] [580/850] eta: 0:03:54 lr: 0.002283 loss: 0.0284 (0.0280) loss_rec_all: 0.0648 (0.0640) loss_rec_sfr: 0.0899 (0.0942) loss_cl: -0.3680 (-0.3673) time: 0.8600 data: 0.0002 max mem: 29859 [09:34:41.061190] Epoch: [147] [600/850] eta: 0:03:37 lr: 0.002283 loss: 0.0285 (0.0280) loss_rec_all: 0.0644 (0.0641) loss_rec_sfr: 0.1189 (0.0948) loss_cl: -0.3673 (-0.3673) time: 0.8673 data: 0.0003 max mem: 29859 [09:34:58.265166] Epoch: [147] [620/850] eta: 0:03:19 lr: 0.002283 loss: 0.0284 (0.0280) loss_rec_all: 0.0643 (0.0641) loss_rec_sfr: 0.0959 (0.0950) loss_cl: -0.3669 (-0.3673) time: 0.8602 data: 0.0002 max mem: 29859 [09:35:15.510856] Epoch: [147] [640/850] eta: 0:03:02 lr: 0.002283 loss: 0.0274 (0.0280) loss_rec_all: 0.0631 (0.0641) loss_rec_sfr: 0.0948 (0.0951) loss_cl: -0.3666 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [09:35:32.735072] Epoch: [147] [660/850] eta: 0:02:44 lr: 0.002283 loss: 0.0268 (0.0280) loss_rec_all: 0.0628 (0.0641) loss_rec_sfr: 0.0768 (0.0951) loss_cl: -0.3666 (-0.3672) time: 0.8612 data: 0.0002 max mem: 29859 [09:35:49.998765] Epoch: [147] [680/850] eta: 0:02:27 lr: 0.002283 loss: 0.0264 (0.0280) loss_rec_all: 0.0626 (0.0641) loss_rec_sfr: 0.0775 (0.0950) loss_cl: -0.3672 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [09:36:07.208287] Epoch: [147] [700/850] eta: 0:02:10 lr: 0.002283 loss: 0.0259 (0.0280) loss_rec_all: 0.0622 (0.0641) loss_rec_sfr: 0.0700 (0.0947) loss_cl: -0.3674 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [09:36:24.456422] Epoch: [147] [720/850] eta: 0:01:52 lr: 0.002283 loss: 0.0255 (0.0280) loss_rec_all: 0.0618 (0.0640) loss_rec_sfr: 0.0776 (0.0945) loss_cl: -0.3685 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [09:36:41.712329] Epoch: [147] [740/850] eta: 0:01:35 lr: 0.002283 loss: 0.0252 (0.0279) loss_rec_all: 0.0612 (0.0640) loss_rec_sfr: 0.0709 (0.0942) loss_cl: -0.3679 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [09:36:58.934862] Epoch: [147] [760/850] eta: 0:01:18 lr: 0.002283 loss: 0.0254 (0.0279) loss_rec_all: 0.0614 (0.0640) loss_rec_sfr: 0.0698 (0.0939) loss_cl: -0.3675 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [09:37:16.134779] Epoch: [147] [780/850] eta: 0:01:00 lr: 0.002283 loss: 0.0256 (0.0278) loss_rec_all: 0.0617 (0.0639) loss_rec_sfr: 0.0671 (0.0939) loss_cl: -0.3672 (-0.3673) time: 0.8599 data: 0.0002 max mem: 29859 [09:37:33.402926] Epoch: [147] [800/850] eta: 0:00:43 lr: 0.002283 loss: 0.0267 (0.0278) loss_rec_all: 0.0626 (0.0639) loss_rec_sfr: 0.0976 (0.0941) loss_cl: -0.3671 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [09:37:50.600613] Epoch: [147] [820/850] eta: 0:00:25 lr: 0.002282 loss: 0.0274 (0.0278) loss_rec_all: 0.0633 (0.0639) loss_rec_sfr: 0.0943 (0.0942) loss_cl: -0.3672 (-0.3673) time: 0.8598 data: 0.0002 max mem: 29859 [09:38:07.837688] Epoch: [147] [840/850] eta: 0:00:08 lr: 0.002282 loss: 0.0254 (0.0278) loss_rec_all: 0.0614 (0.0639) loss_rec_sfr: 0.0708 (0.0940) loss_cl: -0.3680 (-0.3673) time: 0.8618 data: 0.0004 max mem: 29859 [09:38:15.587222] Epoch: [147] [849/850] eta: 0:00:00 lr: 0.002282 loss: 0.0247 (0.0278) loss_rec_all: 0.0609 (0.0639) loss_rec_sfr: 0.0642 (0.0938) loss_cl: -0.3682 (-0.3673) time: 0.8621 data: 0.0004 max mem: 29859 [09:38:15.753237] Epoch: [147] Total time: 0:12:16 (0.8664 s / it) [09:38:15.763939] Averaged stats: lr: 0.002282 loss: 0.0247 (0.0277) loss_rec_all: 0.0609 (0.0638) loss_rec_sfr: 0.0642 (0.0926) loss_cl: -0.3682 (-0.3672) [09:38:15.785861] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [09:38:20.452311] Epoch: [148] [ 0/850] eta: 1:06:05 lr: 0.002282 loss: 0.0251 (0.0251) loss_rec_all: 0.0611 (0.0611) loss_rec_sfr: 0.1079 (0.1079) loss_cl: -0.3675 (-0.3675) time: 4.6653 data: 3.8097 max mem: 29859 [09:38:37.615699] Epoch: [148] [ 20/850] eta: 0:14:22 lr: 0.002282 loss: 0.0254 (0.0261) loss_rec_all: 0.0615 (0.0623) loss_rec_sfr: 0.0708 (0.0781) loss_cl: -0.3675 (-0.3675) time: 0.8581 data: 0.0002 max mem: 29859 [09:38:54.842602] Epoch: [148] [ 40/850] eta: 0:12:51 lr: 0.002282 loss: 0.0254 (0.0267) loss_rec_all: 0.0614 (0.0628) loss_rec_sfr: 0.0934 (0.0833) loss_cl: -0.3669 (-0.3672) time: 0.8613 data: 0.0002 max mem: 29859 [09:39:12.084226] Epoch: [148] [ 60/850] eta: 0:12:09 lr: 0.002282 loss: 0.0262 (0.0269) loss_rec_all: 0.0623 (0.0630) loss_rec_sfr: 0.1079 (0.0901) loss_cl: -0.3668 (-0.3671) time: 0.8620 data: 0.0002 max mem: 29859 [09:39:29.313440] Epoch: [148] [ 80/850] eta: 0:11:38 lr: 0.002282 loss: 0.0287 (0.0274) loss_rec_all: 0.0644 (0.0635) loss_rec_sfr: 0.0953 (0.0915) loss_cl: -0.3667 (-0.3669) time: 0.8614 data: 0.0002 max mem: 29859 [09:39:46.555435] Epoch: [148] [100/850] eta: 0:11:13 lr: 0.002282 loss: 0.0273 (0.0275) loss_rec_all: 0.0633 (0.0635) loss_rec_sfr: 0.0806 (0.0918) loss_cl: -0.3666 (-0.3669) time: 0.8621 data: 0.0002 max mem: 29859 [09:40:03.829334] Epoch: [148] [120/850] eta: 0:10:51 lr: 0.002282 loss: 0.0268 (0.0275) loss_rec_all: 0.0628 (0.0636) loss_rec_sfr: 0.0968 (0.0922) loss_cl: -0.3669 (-0.3669) time: 0.8636 data: 0.0002 max mem: 29859 [09:40:21.069321] Epoch: [148] [140/850] eta: 0:10:30 lr: 0.002282 loss: 0.0268 (0.0275) loss_rec_all: 0.0628 (0.0635) loss_rec_sfr: 0.0770 (0.0916) loss_cl: -0.3677 (-0.3670) time: 0.8619 data: 0.0002 max mem: 29859 [09:40:38.324878] Epoch: [148] [160/850] eta: 0:10:10 lr: 0.002282 loss: 0.0258 (0.0273) loss_rec_all: 0.0620 (0.0634) loss_rec_sfr: 0.0852 (0.0919) loss_cl: -0.3682 (-0.3671) time: 0.8627 data: 0.0002 max mem: 29859 [09:40:55.559792] Epoch: [148] [180/850] eta: 0:09:51 lr: 0.002282 loss: 0.0245 (0.0272) loss_rec_all: 0.0607 (0.0633) loss_rec_sfr: 0.0760 (0.0914) loss_cl: -0.3673 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [09:41:12.845810] Epoch: [148] [200/850] eta: 0:09:32 lr: 0.002282 loss: 0.0264 (0.0272) loss_rec_all: 0.0627 (0.0633) loss_rec_sfr: 0.0702 (0.0906) loss_cl: -0.3669 (-0.3671) time: 0.8642 data: 0.0002 max mem: 29859 [09:41:30.057100] Epoch: [148] [220/850] eta: 0:09:13 lr: 0.002282 loss: 0.0280 (0.0274) loss_rec_all: 0.0642 (0.0635) loss_rec_sfr: 0.0939 (0.0912) loss_cl: -0.3664 (-0.3671) time: 0.8605 data: 0.0002 max mem: 29859 [09:41:47.332638] Epoch: [148] [240/850] eta: 0:08:55 lr: 0.002282 loss: 0.0292 (0.0276) loss_rec_all: 0.0650 (0.0636) loss_rec_sfr: 0.1000 (0.0923) loss_cl: -0.3671 (-0.3671) time: 0.8637 data: 0.0002 max mem: 29859 [09:42:04.563495] Epoch: [148] [260/850] eta: 0:08:37 lr: 0.002282 loss: 0.0274 (0.0276) loss_rec_all: 0.0637 (0.0637) loss_rec_sfr: 0.0764 (0.0922) loss_cl: -0.3675 (-0.3671) time: 0.8615 data: 0.0002 max mem: 29859 [09:42:21.831742] Epoch: [148] [280/850] eta: 0:08:19 lr: 0.002282 loss: 0.0277 (0.0277) loss_rec_all: 0.0638 (0.0638) loss_rec_sfr: 0.0743 (0.0921) loss_cl: -0.3683 (-0.3672) time: 0.8634 data: 0.0002 max mem: 29859 [09:42:39.041843] Epoch: [148] [300/850] eta: 0:08:00 lr: 0.002282 loss: 0.0261 (0.0277) loss_rec_all: 0.0624 (0.0638) loss_rec_sfr: 0.0674 (0.0916) loss_cl: -0.3676 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [09:42:56.345427] Epoch: [148] [320/850] eta: 0:07:43 lr: 0.002282 loss: 0.0275 (0.0277) loss_rec_all: 0.0633 (0.0638) loss_rec_sfr: 0.1032 (0.0920) loss_cl: -0.3673 (-0.3672) time: 0.8651 data: 0.0002 max mem: 29859 [09:43:13.550485] Epoch: [148] [340/850] eta: 0:07:25 lr: 0.002282 loss: 0.0253 (0.0276) loss_rec_all: 0.0615 (0.0637) loss_rec_sfr: 0.0704 (0.0917) loss_cl: -0.3669 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [09:43:30.837744] Epoch: [148] [360/850] eta: 0:07:07 lr: 0.002281 loss: 0.0249 (0.0275) loss_rec_all: 0.0611 (0.0636) loss_rec_sfr: 0.0709 (0.0911) loss_cl: -0.3670 (-0.3672) time: 0.8643 data: 0.0002 max mem: 29859 [09:43:48.073369] Epoch: [148] [380/850] eta: 0:06:49 lr: 0.002281 loss: 0.0287 (0.0275) loss_rec_all: 0.0648 (0.0636) loss_rec_sfr: 0.0930 (0.0912) loss_cl: -0.3676 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [09:44:05.317604] Epoch: [148] [400/850] eta: 0:06:32 lr: 0.002281 loss: 0.0257 (0.0275) loss_rec_all: 0.0620 (0.0636) loss_rec_sfr: 0.0901 (0.0908) loss_cl: -0.3668 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [09:44:22.539511] Epoch: [148] [420/850] eta: 0:06:14 lr: 0.002281 loss: 0.0248 (0.0274) loss_rec_all: 0.0610 (0.0635) loss_rec_sfr: 0.0729 (0.0908) loss_cl: -0.3667 (-0.3671) time: 0.8610 data: 0.0002 max mem: 29859 [09:44:39.842778] Epoch: [148] [440/850] eta: 0:05:57 lr: 0.002281 loss: 0.0263 (0.0274) loss_rec_all: 0.0621 (0.0635) loss_rec_sfr: 0.0895 (0.0907) loss_cl: -0.3664 (-0.3671) time: 0.8651 data: 0.0002 max mem: 29859 [09:44:57.061713] Epoch: [148] [460/850] eta: 0:05:39 lr: 0.002281 loss: 0.0273 (0.0274) loss_rec_all: 0.0632 (0.0635) loss_rec_sfr: 0.1133 (0.0913) loss_cl: -0.3671 (-0.3671) time: 0.8609 data: 0.0002 max mem: 29859 [09:45:14.313088] Epoch: [148] [480/850] eta: 0:05:21 lr: 0.002281 loss: 0.0263 (0.0274) loss_rec_all: 0.0624 (0.0635) loss_rec_sfr: 0.0746 (0.0911) loss_cl: -0.3675 (-0.3671) time: 0.8625 data: 0.0002 max mem: 29859 [09:45:31.629372] Epoch: [148] [500/850] eta: 0:05:04 lr: 0.002281 loss: 0.0264 (0.0274) loss_rec_all: 0.0629 (0.0635) loss_rec_sfr: 0.0722 (0.0909) loss_cl: -0.3684 (-0.3672) time: 0.8658 data: 0.0003 max mem: 29859 [09:45:48.871992] Epoch: [148] [520/850] eta: 0:04:46 lr: 0.002281 loss: 0.0269 (0.0275) loss_rec_all: 0.0630 (0.0635) loss_rec_sfr: 0.0933 (0.0910) loss_cl: -0.3680 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [09:46:06.108858] Epoch: [148] [540/850] eta: 0:04:29 lr: 0.002281 loss: 0.0274 (0.0275) loss_rec_all: 0.0634 (0.0636) loss_rec_sfr: 0.0946 (0.0912) loss_cl: -0.3672 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [09:46:23.383148] Epoch: [148] [560/850] eta: 0:04:12 lr: 0.002281 loss: 0.0263 (0.0275) loss_rec_all: 0.0626 (0.0636) loss_rec_sfr: 0.0764 (0.0912) loss_cl: -0.3670 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [09:46:40.585342] Epoch: [148] [580/850] eta: 0:03:54 lr: 0.002281 loss: 0.0274 (0.0275) loss_rec_all: 0.0632 (0.0636) loss_rec_sfr: 0.0931 (0.0912) loss_cl: -0.3672 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [09:46:57.849248] Epoch: [148] [600/850] eta: 0:03:37 lr: 0.002281 loss: 0.0255 (0.0275) loss_rec_all: 0.0618 (0.0636) loss_rec_sfr: 0.0692 (0.0910) loss_cl: -0.3671 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [09:47:15.075649] Epoch: [148] [620/850] eta: 0:03:19 lr: 0.002281 loss: 0.0265 (0.0275) loss_rec_all: 0.0628 (0.0636) loss_rec_sfr: 0.0967 (0.0913) loss_cl: -0.3676 (-0.3672) time: 0.8613 data: 0.0002 max mem: 29859 [09:47:32.336241] Epoch: [148] [640/850] eta: 0:03:02 lr: 0.002281 loss: 0.0250 (0.0275) loss_rec_all: 0.0611 (0.0635) loss_rec_sfr: 0.0785 (0.0914) loss_cl: -0.3672 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [09:47:49.533561] Epoch: [148] [660/850] eta: 0:02:44 lr: 0.002281 loss: 0.0255 (0.0274) loss_rec_all: 0.0618 (0.0635) loss_rec_sfr: 0.0664 (0.0909) loss_cl: -0.3675 (-0.3672) time: 0.8598 data: 0.0002 max mem: 29859 [09:48:06.829304] Epoch: [148] [680/850] eta: 0:02:27 lr: 0.002281 loss: 0.0262 (0.0274) loss_rec_all: 0.0622 (0.0635) loss_rec_sfr: 0.0737 (0.0908) loss_cl: -0.3677 (-0.3672) time: 0.8647 data: 0.0002 max mem: 29859 [09:48:24.044652] Epoch: [148] [700/850] eta: 0:02:10 lr: 0.002281 loss: 0.0271 (0.0274) loss_rec_all: 0.0630 (0.0635) loss_rec_sfr: 0.0969 (0.0910) loss_cl: -0.3679 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [09:48:41.292290] Epoch: [148] [720/850] eta: 0:01:52 lr: 0.002281 loss: 0.0267 (0.0274) loss_rec_all: 0.0626 (0.0635) loss_rec_sfr: 0.0702 (0.0910) loss_cl: -0.3672 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [09:48:58.496863] Epoch: [148] [740/850] eta: 0:01:35 lr: 0.002281 loss: 0.0264 (0.0274) loss_rec_all: 0.0625 (0.0635) loss_rec_sfr: 0.0936 (0.0911) loss_cl: -0.3674 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [09:49:15.779103] Epoch: [148] [760/850] eta: 0:01:18 lr: 0.002280 loss: 0.0296 (0.0275) loss_rec_all: 0.0658 (0.0636) loss_rec_sfr: 0.0769 (0.0911) loss_cl: -0.3675 (-0.3672) time: 0.8641 data: 0.0002 max mem: 29859 [09:49:32.994904] Epoch: [148] [780/850] eta: 0:01:00 lr: 0.002280 loss: 0.0272 (0.0275) loss_rec_all: 0.0632 (0.0636) loss_rec_sfr: 0.0712 (0.0911) loss_cl: -0.3674 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [09:49:50.246983] Epoch: [148] [800/850] eta: 0:00:43 lr: 0.002280 loss: 0.0273 (0.0275) loss_rec_all: 0.0634 (0.0636) loss_rec_sfr: 0.0826 (0.0911) loss_cl: -0.3674 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [09:50:07.472222] Epoch: [148] [820/850] eta: 0:00:26 lr: 0.002280 loss: 0.0265 (0.0275) loss_rec_all: 0.0624 (0.0636) loss_rec_sfr: 0.0710 (0.0910) loss_cl: -0.3667 (-0.3672) time: 0.8612 data: 0.0002 max mem: 29859 [09:50:24.712536] Epoch: [148] [840/850] eta: 0:00:08 lr: 0.002280 loss: 0.0261 (0.0275) loss_rec_all: 0.0621 (0.0636) loss_rec_sfr: 0.0658 (0.0908) loss_cl: -0.3669 (-0.3672) time: 0.8620 data: 0.0004 max mem: 29859 [09:50:32.449373] Epoch: [148] [849/850] eta: 0:00:00 lr: 0.002280 loss: 0.0260 (0.0275) loss_rec_all: 0.0619 (0.0635) loss_rec_sfr: 0.0648 (0.0907) loss_cl: -0.3669 (-0.3672) time: 0.8613 data: 0.0004 max mem: 29859 [09:50:32.599433] Epoch: [148] Total time: 0:12:16 (0.8668 s / it) [09:50:32.601884] Averaged stats: lr: 0.002280 loss: 0.0260 (0.0274) loss_rec_all: 0.0619 (0.0635) loss_rec_sfr: 0.0648 (0.0909) loss_cl: -0.3669 (-0.3672) [09:50:32.613699] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [09:50:36.741113] Epoch: [149] [ 0/850] eta: 0:58:27 lr: 0.002280 loss: 0.0257 (0.0257) loss_rec_all: 0.0618 (0.0618) loss_rec_sfr: 0.0712 (0.0712) loss_cl: -0.3662 (-0.3662) time: 4.1265 data: 3.0254 max mem: 29859 [09:50:53.991833] Epoch: [149] [ 20/850] eta: 0:14:04 lr: 0.002280 loss: 0.0254 (0.0265) loss_rec_all: 0.0616 (0.0626) loss_rec_sfr: 0.0730 (0.0812) loss_cl: -0.3670 (-0.3668) time: 0.8625 data: 0.0002 max mem: 29859 [09:51:11.230891] Epoch: [149] [ 40/850] eta: 0:12:42 lr: 0.002280 loss: 0.0261 (0.0263) loss_rec_all: 0.0618 (0.0624) loss_rec_sfr: 0.0835 (0.0848) loss_cl: -0.3670 (-0.3668) time: 0.8619 data: 0.0002 max mem: 29859 [09:51:28.424103] Epoch: [149] [ 60/850] eta: 0:12:02 lr: 0.002280 loss: 0.0249 (0.0261) loss_rec_all: 0.0609 (0.0622) loss_rec_sfr: 0.0763 (0.0844) loss_cl: -0.3674 (-0.3670) time: 0.8596 data: 0.0002 max mem: 29859 [09:51:45.717989] Epoch: [149] [ 80/850] eta: 0:11:34 lr: 0.002280 loss: 0.0244 (0.0258) loss_rec_all: 0.0607 (0.0620) loss_rec_sfr: 0.0642 (0.0837) loss_cl: -0.3677 (-0.3672) time: 0.8646 data: 0.0002 max mem: 29859 [09:52:02.905387] Epoch: [149] [100/850] eta: 0:11:10 lr: 0.002280 loss: 0.0243 (0.0257) loss_rec_all: 0.0606 (0.0618) loss_rec_sfr: 0.0718 (0.0847) loss_cl: -0.3677 (-0.3673) time: 0.8593 data: 0.0002 max mem: 29859 [09:52:20.156757] Epoch: [149] [120/850] eta: 0:10:48 lr: 0.002280 loss: 0.0258 (0.0257) loss_rec_all: 0.0620 (0.0618) loss_rec_sfr: 0.0907 (0.0864) loss_cl: -0.3673 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [09:52:37.381460] Epoch: [149] [140/850] eta: 0:10:28 lr: 0.002280 loss: 0.0286 (0.0262) loss_rec_all: 0.0646 (0.0623) loss_rec_sfr: 0.0896 (0.0874) loss_cl: -0.3670 (-0.3672) time: 0.8612 data: 0.0002 max mem: 29859 [09:52:54.642742] Epoch: [149] [160/850] eta: 0:10:08 lr: 0.002280 loss: 0.0311 (0.0269) loss_rec_all: 0.0667 (0.0630) loss_rec_sfr: 0.0984 (0.0897) loss_cl: -0.3670 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [09:53:11.848101] Epoch: [149] [180/850] eta: 0:09:49 lr: 0.002280 loss: 0.0270 (0.0270) loss_rec_all: 0.0629 (0.0631) loss_rec_sfr: 0.0943 (0.0903) loss_cl: -0.3677 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [09:53:29.116049] Epoch: [149] [200/850] eta: 0:09:30 lr: 0.002280 loss: 0.0274 (0.0270) loss_rec_all: 0.0632 (0.0631) loss_rec_sfr: 0.0889 (0.0904) loss_cl: -0.3672 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [09:53:46.360509] Epoch: [149] [220/850] eta: 0:09:12 lr: 0.002280 loss: 0.0266 (0.0271) loss_rec_all: 0.0623 (0.0632) loss_rec_sfr: 0.0945 (0.0910) loss_cl: -0.3672 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [09:54:03.626362] Epoch: [149] [240/850] eta: 0:08:54 lr: 0.002280 loss: 0.0261 (0.0270) loss_rec_all: 0.0621 (0.0631) loss_rec_sfr: 0.0763 (0.0908) loss_cl: -0.3670 (-0.3672) time: 0.8632 data: 0.0002 max mem: 29859 [09:54:20.916988] Epoch: [149] [260/850] eta: 0:08:36 lr: 0.002280 loss: 0.0243 (0.0270) loss_rec_all: 0.0605 (0.0630) loss_rec_sfr: 0.0702 (0.0902) loss_cl: -0.3667 (-0.3672) time: 0.8645 data: 0.0002 max mem: 29859 [09:54:38.170529] Epoch: [149] [280/850] eta: 0:08:18 lr: 0.002280 loss: 0.0244 (0.0268) loss_rec_all: 0.0603 (0.0629) loss_rec_sfr: 0.0637 (0.0891) loss_cl: -0.3662 (-0.3671) time: 0.8626 data: 0.0002 max mem: 29859 [09:54:55.374598] Epoch: [149] [300/850] eta: 0:08:00 lr: 0.002279 loss: 0.0262 (0.0269) loss_rec_all: 0.0624 (0.0630) loss_rec_sfr: 0.0701 (0.0891) loss_cl: -0.3664 (-0.3671) time: 0.8601 data: 0.0002 max mem: 29859 [09:55:12.639309] Epoch: [149] [320/850] eta: 0:07:42 lr: 0.002279 loss: 0.0268 (0.0269) loss_rec_all: 0.0627 (0.0630) loss_rec_sfr: 0.0983 (0.0896) loss_cl: -0.3672 (-0.3671) time: 0.8632 data: 0.0002 max mem: 29859 [09:55:29.866223] Epoch: [149] [340/850] eta: 0:07:24 lr: 0.002279 loss: 0.0251 (0.0268) loss_rec_all: 0.0613 (0.0629) loss_rec_sfr: 0.0695 (0.0895) loss_cl: -0.3682 (-0.3671) time: 0.8613 data: 0.0002 max mem: 29859 [09:55:47.127587] Epoch: [149] [360/850] eta: 0:07:06 lr: 0.002279 loss: 0.0248 (0.0267) loss_rec_all: 0.0612 (0.0628) loss_rec_sfr: 0.0714 (0.0892) loss_cl: -0.3681 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [09:56:04.323367] Epoch: [149] [380/850] eta: 0:06:49 lr: 0.002279 loss: 0.0276 (0.0268) loss_rec_all: 0.0637 (0.0629) loss_rec_sfr: 0.0996 (0.0897) loss_cl: -0.3678 (-0.3672) time: 0.8597 data: 0.0002 max mem: 29859 [09:56:21.592589] Epoch: [149] [400/850] eta: 0:06:31 lr: 0.002279 loss: 0.0270 (0.0268) loss_rec_all: 0.0630 (0.0629) loss_rec_sfr: 0.1021 (0.0904) loss_cl: -0.3670 (-0.3672) time: 0.8634 data: 0.0002 max mem: 29859 [09:56:38.795472] Epoch: [149] [420/850] eta: 0:06:13 lr: 0.002279 loss: 0.0247 (0.0268) loss_rec_all: 0.0610 (0.0629) loss_rec_sfr: 0.0713 (0.0900) loss_cl: -0.3669 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [09:56:56.034555] Epoch: [149] [440/850] eta: 0:05:56 lr: 0.002279 loss: 0.0262 (0.0268) loss_rec_all: 0.0624 (0.0629) loss_rec_sfr: 0.0896 (0.0899) loss_cl: -0.3666 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [09:57:13.323632] Epoch: [149] [460/850] eta: 0:05:38 lr: 0.002279 loss: 0.0260 (0.0268) loss_rec_all: 0.0619 (0.0629) loss_rec_sfr: 0.0940 (0.0899) loss_cl: -0.3668 (-0.3671) time: 0.8644 data: 0.0003 max mem: 29859 [09:57:30.558352] Epoch: [149] [480/850] eta: 0:05:21 lr: 0.002279 loss: 0.0271 (0.0269) loss_rec_all: 0.0630 (0.0629) loss_rec_sfr: 0.0995 (0.0905) loss_cl: -0.3675 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [09:57:47.784570] Epoch: [149] [500/850] eta: 0:05:03 lr: 0.002279 loss: 0.0310 (0.0270) loss_rec_all: 0.0671 (0.0630) loss_rec_sfr: 0.0953 (0.0908) loss_cl: -0.3678 (-0.3672) time: 0.8613 data: 0.0002 max mem: 29859 [09:58:05.042430] Epoch: [149] [520/850] eta: 0:04:46 lr: 0.002279 loss: 0.0259 (0.0270) loss_rec_all: 0.0620 (0.0631) loss_rec_sfr: 0.0666 (0.0906) loss_cl: -0.3682 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [09:58:22.253088] Epoch: [149] [540/850] eta: 0:04:29 lr: 0.002279 loss: 0.0260 (0.0270) loss_rec_all: 0.0622 (0.0631) loss_rec_sfr: 0.0713 (0.0908) loss_cl: -0.3672 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [09:58:39.502064] Epoch: [149] [560/850] eta: 0:04:11 lr: 0.002279 loss: 0.0293 (0.0271) loss_rec_all: 0.0655 (0.0632) loss_rec_sfr: 0.1005 (0.0912) loss_cl: -0.3677 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [09:58:56.734196] Epoch: [149] [580/850] eta: 0:03:54 lr: 0.002279 loss: 0.0266 (0.0271) loss_rec_all: 0.0628 (0.0632) loss_rec_sfr: 0.0721 (0.0912) loss_cl: -0.3674 (-0.3672) time: 0.8614 data: 0.0002 max mem: 29859 [09:59:13.989922] Epoch: [149] [600/850] eta: 0:03:36 lr: 0.002279 loss: 0.0276 (0.0271) loss_rec_all: 0.0637 (0.0632) loss_rec_sfr: 0.0987 (0.0914) loss_cl: -0.3676 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [09:59:31.187653] Epoch: [149] [620/850] eta: 0:03:19 lr: 0.002279 loss: 0.0260 (0.0271) loss_rec_all: 0.0622 (0.0632) loss_rec_sfr: 0.0934 (0.0915) loss_cl: -0.3672 (-0.3672) time: 0.8598 data: 0.0002 max mem: 29859 [09:59:48.476131] Epoch: [149] [640/850] eta: 0:03:02 lr: 0.002279 loss: 0.0271 (0.0272) loss_rec_all: 0.0632 (0.0632) loss_rec_sfr: 0.0965 (0.0916) loss_cl: -0.3670 (-0.3672) time: 0.8644 data: 0.0002 max mem: 29859 [10:00:05.675888] Epoch: [149] [660/850] eta: 0:02:44 lr: 0.002279 loss: 0.0254 (0.0271) loss_rec_all: 0.0614 (0.0632) loss_rec_sfr: 0.0725 (0.0916) loss_cl: -0.3671 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [10:00:22.954443] Epoch: [149] [680/850] eta: 0:02:27 lr: 0.002279 loss: 0.0249 (0.0271) loss_rec_all: 0.0612 (0.0632) loss_rec_sfr: 0.0706 (0.0912) loss_cl: -0.3672 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [10:00:40.218760] Epoch: [149] [700/850] eta: 0:02:10 lr: 0.002278 loss: 0.0259 (0.0271) loss_rec_all: 0.0616 (0.0632) loss_rec_sfr: 0.0709 (0.0912) loss_cl: -0.3669 (-0.3672) time: 0.8632 data: 0.0002 max mem: 29859 [10:00:57.455328] Epoch: [149] [720/850] eta: 0:01:52 lr: 0.002278 loss: 0.0267 (0.0271) loss_rec_all: 0.0627 (0.0632) loss_rec_sfr: 0.0998 (0.0914) loss_cl: -0.3676 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [10:01:14.687959] Epoch: [149] [740/850] eta: 0:01:35 lr: 0.002278 loss: 0.0264 (0.0271) loss_rec_all: 0.0626 (0.0632) loss_rec_sfr: 0.0943 (0.0916) loss_cl: -0.3668 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [10:01:31.947800] Epoch: [149] [760/850] eta: 0:01:17 lr: 0.002278 loss: 0.0249 (0.0271) loss_rec_all: 0.0612 (0.0632) loss_rec_sfr: 0.0664 (0.0914) loss_cl: -0.3667 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [10:01:49.166791] Epoch: [149] [780/850] eta: 0:01:00 lr: 0.002278 loss: 0.0269 (0.0271) loss_rec_all: 0.0627 (0.0632) loss_rec_sfr: 0.0897 (0.0913) loss_cl: -0.3670 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [10:02:06.414622] Epoch: [149] [800/850] eta: 0:00:43 lr: 0.002278 loss: 0.0252 (0.0271) loss_rec_all: 0.0615 (0.0632) loss_rec_sfr: 0.0933 (0.0913) loss_cl: -0.3674 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [10:02:23.645861] Epoch: [149] [820/850] eta: 0:00:25 lr: 0.002278 loss: 0.0250 (0.0271) loss_rec_all: 0.0613 (0.0631) loss_rec_sfr: 0.0723 (0.0911) loss_cl: -0.3678 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [10:02:40.903439] Epoch: [149] [840/850] eta: 0:00:08 lr: 0.002278 loss: 0.0252 (0.0270) loss_rec_all: 0.0611 (0.0631) loss_rec_sfr: 0.0777 (0.0911) loss_cl: -0.3678 (-0.3672) time: 0.8628 data: 0.0005 max mem: 29859 [10:02:48.642985] Epoch: [149] [849/850] eta: 0:00:00 lr: 0.002278 loss: 0.0260 (0.0270) loss_rec_all: 0.0621 (0.0631) loss_rec_sfr: 0.0924 (0.0913) loss_cl: -0.3678 (-0.3672) time: 0.8618 data: 0.0004 max mem: 29859 [10:02:48.781293] Epoch: [149] Total time: 0:12:16 (0.8661 s / it) [10:02:48.783885] Averaged stats: lr: 0.002278 loss: 0.0260 (0.0270) loss_rec_all: 0.0621 (0.0630) loss_rec_sfr: 0.0924 (0.0912) loss_cl: -0.3678 (-0.3672) [10:02:48.798595] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [10:02:53.075308] Epoch: [150] [ 0/850] eta: 1:00:34 lr: 0.002278 loss: 0.0247 (0.0247) loss_rec_all: 0.0609 (0.0609) loss_rec_sfr: 0.0802 (0.0802) loss_cl: -0.3677 (-0.3677) time: 4.2759 data: 3.4236 max mem: 29859 [10:03:10.311910] Epoch: [150] [ 20/850] eta: 0:14:10 lr: 0.002278 loss: 0.0265 (0.0269) loss_rec_all: 0.0624 (0.0630) loss_rec_sfr: 0.0895 (0.0939) loss_cl: -0.3675 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [10:03:27.558055] Epoch: [150] [ 40/850] eta: 0:12:45 lr: 0.002278 loss: 0.0245 (0.0263) loss_rec_all: 0.0608 (0.0624) loss_rec_sfr: 0.0654 (0.0890) loss_cl: -0.3674 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [10:03:44.763104] Epoch: [150] [ 60/850] eta: 0:12:04 lr: 0.002278 loss: 0.0254 (0.0263) loss_rec_all: 0.0614 (0.0624) loss_rec_sfr: 0.0767 (0.0898) loss_cl: -0.3671 (-0.3673) time: 0.8602 data: 0.0002 max mem: 29859 [10:04:02.079678] Epoch: [150] [ 80/850] eta: 0:11:36 lr: 0.002278 loss: 0.0264 (0.0266) loss_rec_all: 0.0626 (0.0627) loss_rec_sfr: 0.0990 (0.0908) loss_cl: -0.3665 (-0.3671) time: 0.8658 data: 0.0002 max mem: 29859 [10:04:19.271897] Epoch: [150] [100/850] eta: 0:11:11 lr: 0.002278 loss: 0.0272 (0.0270) loss_rec_all: 0.0634 (0.0630) loss_rec_sfr: 0.0955 (0.0924) loss_cl: -0.3667 (-0.3670) time: 0.8596 data: 0.0002 max mem: 29859 [10:04:36.538857] Epoch: [150] [120/850] eta: 0:10:49 lr: 0.002278 loss: 0.0262 (0.0270) loss_rec_all: 0.0624 (0.0631) loss_rec_sfr: 0.0715 (0.0913) loss_cl: -0.3668 (-0.3670) time: 0.8633 data: 0.0003 max mem: 29859 [10:04:53.760919] Epoch: [150] [140/850] eta: 0:10:29 lr: 0.002278 loss: 0.0266 (0.0272) loss_rec_all: 0.0629 (0.0632) loss_rec_sfr: 0.0783 (0.0922) loss_cl: -0.3677 (-0.3671) time: 0.8611 data: 0.0002 max mem: 29859 [10:05:11.023482] Epoch: [150] [160/850] eta: 0:10:09 lr: 0.002278 loss: 0.0281 (0.0273) loss_rec_all: 0.0643 (0.0634) loss_rec_sfr: 0.0787 (0.0925) loss_cl: -0.3675 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [10:05:28.218331] Epoch: [150] [180/850] eta: 0:09:50 lr: 0.002278 loss: 0.0267 (0.0274) loss_rec_all: 0.0626 (0.0634) loss_rec_sfr: 0.0700 (0.0924) loss_cl: -0.3674 (-0.3672) time: 0.8597 data: 0.0002 max mem: 29859 [10:05:45.478654] Epoch: [150] [200/850] eta: 0:09:31 lr: 0.002278 loss: 0.0270 (0.0274) loss_rec_all: 0.0631 (0.0635) loss_rec_sfr: 0.0739 (0.0923) loss_cl: -0.3668 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [10:06:02.680285] Epoch: [150] [220/850] eta: 0:09:12 lr: 0.002278 loss: 0.0254 (0.0274) loss_rec_all: 0.0617 (0.0634) loss_rec_sfr: 0.0678 (0.0922) loss_cl: -0.3669 (-0.3671) time: 0.8600 data: 0.0002 max mem: 29859 [10:06:19.909862] Epoch: [150] [240/850] eta: 0:08:54 lr: 0.002277 loss: 0.0256 (0.0272) loss_rec_all: 0.0620 (0.0633) loss_rec_sfr: 0.0736 (0.0921) loss_cl: -0.3675 (-0.3671) time: 0.8614 data: 0.0002 max mem: 29859 [10:06:37.210753] Epoch: [150] [260/850] eta: 0:08:36 lr: 0.002277 loss: 0.0255 (0.0272) loss_rec_all: 0.0615 (0.0633) loss_rec_sfr: 0.0784 (0.0921) loss_cl: -0.3671 (-0.3671) time: 0.8650 data: 0.0003 max mem: 29859 [10:06:54.448111] Epoch: [150] [280/850] eta: 0:08:18 lr: 0.002277 loss: 0.0270 (0.0272) loss_rec_all: 0.0630 (0.0633) loss_rec_sfr: 0.0915 (0.0921) loss_cl: -0.3676 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [10:07:11.678300] Epoch: [150] [300/850] eta: 0:08:00 lr: 0.002277 loss: 0.0243 (0.0271) loss_rec_all: 0.0606 (0.0632) loss_rec_sfr: 0.0767 (0.0921) loss_cl: -0.3678 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [10:07:28.945002] Epoch: [150] [320/850] eta: 0:07:42 lr: 0.002277 loss: 0.0258 (0.0270) loss_rec_all: 0.0616 (0.0631) loss_rec_sfr: 0.0912 (0.0924) loss_cl: -0.3671 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [10:07:46.143533] Epoch: [150] [340/850] eta: 0:07:24 lr: 0.002277 loss: 0.0264 (0.0269) loss_rec_all: 0.0620 (0.0630) loss_rec_sfr: 0.1059 (0.0928) loss_cl: -0.3674 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [10:08:03.407811] Epoch: [150] [360/850] eta: 0:07:07 lr: 0.002277 loss: 0.0248 (0.0268) loss_rec_all: 0.0609 (0.0629) loss_rec_sfr: 0.0876 (0.0925) loss_cl: -0.3676 (-0.3672) time: 0.8632 data: 0.0002 max mem: 29859 [10:08:20.643797] Epoch: [150] [380/850] eta: 0:06:49 lr: 0.002277 loss: 0.0252 (0.0268) loss_rec_all: 0.0614 (0.0629) loss_rec_sfr: 0.0736 (0.0924) loss_cl: -0.3674 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [10:08:37.897790] Epoch: [150] [400/850] eta: 0:06:31 lr: 0.002277 loss: 0.0271 (0.0269) loss_rec_all: 0.0634 (0.0630) loss_rec_sfr: 0.0958 (0.0922) loss_cl: -0.3668 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [10:08:55.095121] Epoch: [150] [420/850] eta: 0:06:14 lr: 0.002277 loss: 0.0256 (0.0269) loss_rec_all: 0.0616 (0.0630) loss_rec_sfr: 0.0757 (0.0924) loss_cl: -0.3667 (-0.3672) time: 0.8598 data: 0.0002 max mem: 29859 [10:09:12.378592] Epoch: [150] [440/850] eta: 0:05:56 lr: 0.002277 loss: 0.0266 (0.0269) loss_rec_all: 0.0624 (0.0630) loss_rec_sfr: 0.0962 (0.0926) loss_cl: -0.3667 (-0.3671) time: 0.8641 data: 0.0002 max mem: 29859 [10:09:29.573568] Epoch: [150] [460/850] eta: 0:05:39 lr: 0.002277 loss: 0.0302 (0.0271) loss_rec_all: 0.0663 (0.0631) loss_rec_sfr: 0.1031 (0.0930) loss_cl: -0.3667 (-0.3671) time: 0.8597 data: 0.0002 max mem: 29859 [10:09:46.872363] Epoch: [150] [480/850] eta: 0:05:21 lr: 0.002277 loss: 0.0301 (0.0273) loss_rec_all: 0.0665 (0.0633) loss_rec_sfr: 0.0809 (0.0931) loss_cl: -0.3676 (-0.3671) time: 0.8648 data: 0.0002 max mem: 29859 [10:10:04.087135] Epoch: [150] [500/850] eta: 0:05:04 lr: 0.002277 loss: 0.0294 (0.0274) loss_rec_all: 0.0652 (0.0635) loss_rec_sfr: 0.0711 (0.0929) loss_cl: -0.3675 (-0.3671) time: 0.8607 data: 0.0002 max mem: 29859 [10:10:21.337815] Epoch: [150] [520/850] eta: 0:04:46 lr: 0.002277 loss: 0.0330 (0.0277) loss_rec_all: 0.0692 (0.0637) loss_rec_sfr: 0.1138 (0.0935) loss_cl: -0.3673 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [10:10:38.557156] Epoch: [150] [540/850] eta: 0:04:29 lr: 0.002277 loss: 0.0309 (0.0278) loss_rec_all: 0.0670 (0.0639) loss_rec_sfr: 0.1147 (0.0941) loss_cl: -0.3675 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [10:10:55.813866] Epoch: [150] [560/850] eta: 0:04:11 lr: 0.002277 loss: 0.0297 (0.0279) loss_rec_all: 0.0659 (0.0640) loss_rec_sfr: 0.0726 (0.0940) loss_cl: -0.3672 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [10:11:13.030451] Epoch: [150] [580/850] eta: 0:03:54 lr: 0.002277 loss: 0.0287 (0.0280) loss_rec_all: 0.0648 (0.0640) loss_rec_sfr: 0.0749 (0.0940) loss_cl: -0.3677 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [10:11:30.278951] Epoch: [150] [600/850] eta: 0:03:36 lr: 0.002277 loss: 0.0278 (0.0280) loss_rec_all: 0.0641 (0.0641) loss_rec_sfr: 0.0980 (0.0940) loss_cl: -0.3677 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [10:11:47.508411] Epoch: [150] [620/850] eta: 0:03:19 lr: 0.002276 loss: 0.0263 (0.0280) loss_rec_all: 0.0623 (0.0640) loss_rec_sfr: 0.0787 (0.0939) loss_cl: -0.3674 (-0.3672) time: 0.8614 data: 0.0002 max mem: 29859 [10:12:04.741425] Epoch: [150] [640/850] eta: 0:03:02 lr: 0.002276 loss: 0.0264 (0.0279) loss_rec_all: 0.0625 (0.0640) loss_rec_sfr: 0.0720 (0.0938) loss_cl: -0.3675 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [10:12:21.974165] Epoch: [150] [660/850] eta: 0:02:44 lr: 0.002276 loss: 0.0269 (0.0279) loss_rec_all: 0.0626 (0.0640) loss_rec_sfr: 0.0803 (0.0938) loss_cl: -0.3675 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [10:12:39.252278] Epoch: [150] [680/850] eta: 0:02:27 lr: 0.002276 loss: 0.0271 (0.0279) loss_rec_all: 0.0633 (0.0640) loss_rec_sfr: 0.0736 (0.0940) loss_cl: -0.3673 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [10:12:56.451565] Epoch: [150] [700/850] eta: 0:02:10 lr: 0.002276 loss: 0.0251 (0.0279) loss_rec_all: 0.0613 (0.0639) loss_rec_sfr: 0.0866 (0.0938) loss_cl: -0.3673 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [10:13:13.732017] Epoch: [150] [720/850] eta: 0:01:52 lr: 0.002276 loss: 0.0249 (0.0278) loss_rec_all: 0.0610 (0.0639) loss_rec_sfr: 0.0945 (0.0939) loss_cl: -0.3669 (-0.3672) time: 0.8640 data: 0.0002 max mem: 29859 [10:13:30.939005] Epoch: [150] [740/850] eta: 0:01:35 lr: 0.002276 loss: 0.0258 (0.0278) loss_rec_all: 0.0618 (0.0639) loss_rec_sfr: 0.0966 (0.0939) loss_cl: -0.3672 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [10:13:48.188372] Epoch: [150] [760/850] eta: 0:01:17 lr: 0.002276 loss: 0.0243 (0.0277) loss_rec_all: 0.0603 (0.0638) loss_rec_sfr: 0.0645 (0.0936) loss_cl: -0.3670 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [10:14:05.401636] Epoch: [150] [780/850] eta: 0:01:00 lr: 0.002276 loss: 0.0264 (0.0277) loss_rec_all: 0.0622 (0.0638) loss_rec_sfr: 0.0985 (0.0937) loss_cl: -0.3671 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [10:14:22.697174] Epoch: [150] [800/850] eta: 0:00:43 lr: 0.002276 loss: 0.0260 (0.0277) loss_rec_all: 0.0618 (0.0637) loss_rec_sfr: 0.0917 (0.0937) loss_cl: -0.3669 (-0.3672) time: 0.8647 data: 0.0002 max mem: 29859 [10:14:39.896789] Epoch: [150] [820/850] eta: 0:00:25 lr: 0.002276 loss: 0.0258 (0.0276) loss_rec_all: 0.0620 (0.0637) loss_rec_sfr: 0.0678 (0.0936) loss_cl: -0.3666 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [10:14:57.194883] Epoch: [150] [840/850] eta: 0:00:08 lr: 0.002276 loss: 0.0251 (0.0276) loss_rec_all: 0.0614 (0.0637) loss_rec_sfr: 0.0763 (0.0936) loss_cl: -0.3674 (-0.3672) time: 0.8648 data: 0.0005 max mem: 29859 [10:15:04.956331] Epoch: [150] [849/850] eta: 0:00:00 lr: 0.002276 loss: 0.0255 (0.0276) loss_rec_all: 0.0618 (0.0637) loss_rec_sfr: 0.0699 (0.0935) loss_cl: -0.3679 (-0.3672) time: 0.8656 data: 0.0005 max mem: 29859 [10:15:05.085458] Epoch: [150] Total time: 0:12:16 (0.8662 s / it) [10:15:05.087871] Averaged stats: lr: 0.002276 loss: 0.0255 (0.0276) loss_rec_all: 0.0618 (0.0637) loss_rec_sfr: 0.0699 (0.0924) loss_cl: -0.3679 (-0.3672) [10:15:08.513830] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [10:15:12.036044] Epoch: [151] [ 0/850] eta: 0:49:53 lr: 0.002276 loss: 0.0250 (0.0250) loss_rec_all: 0.0610 (0.0610) loss_rec_sfr: 0.1108 (0.1108) loss_cl: -0.3677 (-0.3677) time: 3.5215 data: 2.6667 max mem: 29859 [10:15:29.217986] Epoch: [151] [ 20/850] eta: 0:13:38 lr: 0.002276 loss: 0.0260 (0.0260) loss_rec_all: 0.0618 (0.0621) loss_rec_sfr: 0.0882 (0.0960) loss_cl: -0.3679 (-0.3677) time: 0.8590 data: 0.0002 max mem: 29859 [10:15:46.417791] Epoch: [151] [ 40/850] eta: 0:12:28 lr: 0.002276 loss: 0.0263 (0.0264) loss_rec_all: 0.0624 (0.0624) loss_rec_sfr: 0.0973 (0.0966) loss_cl: -0.3673 (-0.3675) time: 0.8599 data: 0.0002 max mem: 29859 [10:16:03.609803] Epoch: [151] [ 60/850] eta: 0:11:53 lr: 0.002276 loss: 0.0269 (0.0265) loss_rec_all: 0.0627 (0.0626) loss_rec_sfr: 0.0707 (0.0967) loss_cl: -0.3670 (-0.3673) time: 0.8595 data: 0.0002 max mem: 29859 [10:16:20.864274] Epoch: [151] [ 80/850] eta: 0:11:27 lr: 0.002276 loss: 0.0254 (0.0266) loss_rec_all: 0.0614 (0.0626) loss_rec_sfr: 0.0700 (0.0943) loss_cl: -0.3667 (-0.3671) time: 0.8627 data: 0.0002 max mem: 29859 [10:16:38.066683] Epoch: [151] [100/850] eta: 0:11:04 lr: 0.002276 loss: 0.0249 (0.0263) loss_rec_all: 0.0611 (0.0624) loss_rec_sfr: 0.0687 (0.0936) loss_cl: -0.3671 (-0.3671) time: 0.8601 data: 0.0002 max mem: 29859 [10:16:55.297902] Epoch: [151] [120/850] eta: 0:10:44 lr: 0.002276 loss: 0.0248 (0.0263) loss_rec_all: 0.0608 (0.0624) loss_rec_sfr: 0.0903 (0.0934) loss_cl: -0.3678 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [10:17:12.534900] Epoch: [151] [140/850] eta: 0:10:24 lr: 0.002276 loss: 0.0248 (0.0262) loss_rec_all: 0.0612 (0.0623) loss_rec_sfr: 0.0698 (0.0939) loss_cl: -0.3682 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [10:17:29.745143] Epoch: [151] [160/850] eta: 0:10:05 lr: 0.002275 loss: 0.0232 (0.0259) loss_rec_all: 0.0595 (0.0620) loss_rec_sfr: 0.0643 (0.0924) loss_cl: -0.3676 (-0.3674) time: 0.8605 data: 0.0001 max mem: 29859 [10:17:46.942641] Epoch: [151] [180/850] eta: 0:09:46 lr: 0.002275 loss: 0.0259 (0.0259) loss_rec_all: 0.0617 (0.0620) loss_rec_sfr: 0.0920 (0.0921) loss_cl: -0.3676 (-0.3674) time: 0.8598 data: 0.0001 max mem: 29859 [10:18:04.196947] Epoch: [151] [200/850] eta: 0:09:28 lr: 0.002275 loss: 0.0256 (0.0260) loss_rec_all: 0.0618 (0.0621) loss_rec_sfr: 0.0978 (0.0927) loss_cl: -0.3674 (-0.3674) time: 0.8627 data: 0.0001 max mem: 29859 [10:18:21.389436] Epoch: [151] [220/850] eta: 0:09:09 lr: 0.002275 loss: 0.0262 (0.0260) loss_rec_all: 0.0618 (0.0621) loss_rec_sfr: 0.0915 (0.0929) loss_cl: -0.3670 (-0.3674) time: 0.8596 data: 0.0001 max mem: 29859 [10:18:38.619944] Epoch: [151] [240/850] eta: 0:08:51 lr: 0.002275 loss: 0.0264 (0.0261) loss_rec_all: 0.0626 (0.0622) loss_rec_sfr: 0.0817 (0.0926) loss_cl: -0.3666 (-0.3673) time: 0.8615 data: 0.0001 max mem: 29859 [10:18:55.840364] Epoch: [151] [260/850] eta: 0:08:33 lr: 0.002275 loss: 0.0267 (0.0262) loss_rec_all: 0.0628 (0.0622) loss_rec_sfr: 0.0773 (0.0930) loss_cl: -0.3671 (-0.3673) time: 0.8610 data: 0.0002 max mem: 29859 [10:19:13.083193] Epoch: [151] [280/850] eta: 0:08:16 lr: 0.002275 loss: 0.0269 (0.0263) loss_rec_all: 0.0628 (0.0624) loss_rec_sfr: 0.0946 (0.0932) loss_cl: -0.3666 (-0.3672) time: 0.8621 data: 0.0001 max mem: 29859 [10:19:30.280743] Epoch: [151] [300/850] eta: 0:07:58 lr: 0.002275 loss: 0.0263 (0.0264) loss_rec_all: 0.0625 (0.0625) loss_rec_sfr: 0.0975 (0.0933) loss_cl: -0.3665 (-0.3672) time: 0.8598 data: 0.0002 max mem: 29859 [10:19:47.558454] Epoch: [151] [320/850] eta: 0:07:40 lr: 0.002275 loss: 0.0269 (0.0265) loss_rec_all: 0.0630 (0.0626) loss_rec_sfr: 0.0918 (0.0931) loss_cl: -0.3674 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [10:20:04.752132] Epoch: [151] [340/850] eta: 0:07:23 lr: 0.002275 loss: 0.0278 (0.0267) loss_rec_all: 0.0639 (0.0627) loss_rec_sfr: 0.0972 (0.0934) loss_cl: -0.3676 (-0.3672) time: 0.8596 data: 0.0002 max mem: 29859 [10:20:21.996328] Epoch: [151] [360/850] eta: 0:07:05 lr: 0.002275 loss: 0.0270 (0.0268) loss_rec_all: 0.0631 (0.0628) loss_rec_sfr: 0.0734 (0.0931) loss_cl: -0.3677 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [10:20:39.222185] Epoch: [151] [380/850] eta: 0:06:47 lr: 0.002275 loss: 0.0246 (0.0268) loss_rec_all: 0.0609 (0.0628) loss_rec_sfr: 0.0640 (0.0925) loss_cl: -0.3681 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [10:20:56.466639] Epoch: [151] [400/850] eta: 0:06:30 lr: 0.002275 loss: 0.0257 (0.0268) loss_rec_all: 0.0617 (0.0629) loss_rec_sfr: 0.0949 (0.0927) loss_cl: -0.3682 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [10:21:13.666922] Epoch: [151] [420/850] eta: 0:06:12 lr: 0.002275 loss: 0.0263 (0.0268) loss_rec_all: 0.0622 (0.0629) loss_rec_sfr: 0.0984 (0.0929) loss_cl: -0.3680 (-0.3674) time: 0.8600 data: 0.0002 max mem: 29859 [10:21:30.939400] Epoch: [151] [440/850] eta: 0:05:55 lr: 0.002275 loss: 0.0249 (0.0267) loss_rec_all: 0.0611 (0.0628) loss_rec_sfr: 0.0973 (0.0928) loss_cl: -0.3676 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [10:21:48.137990] Epoch: [151] [460/850] eta: 0:05:38 lr: 0.002275 loss: 0.0240 (0.0267) loss_rec_all: 0.0601 (0.0627) loss_rec_sfr: 0.0625 (0.0922) loss_cl: -0.3669 (-0.3673) time: 0.8599 data: 0.0002 max mem: 29859 [10:22:05.388019] Epoch: [151] [480/850] eta: 0:05:20 lr: 0.002275 loss: 0.0262 (0.0267) loss_rec_all: 0.0624 (0.0628) loss_rec_sfr: 0.1000 (0.0925) loss_cl: -0.3673 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [10:22:22.624910] Epoch: [151] [500/850] eta: 0:05:03 lr: 0.002275 loss: 0.0251 (0.0266) loss_rec_all: 0.0613 (0.0627) loss_rec_sfr: 0.0733 (0.0922) loss_cl: -0.3689 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [10:22:39.874166] Epoch: [151] [520/850] eta: 0:04:45 lr: 0.002275 loss: 0.0254 (0.0266) loss_rec_all: 0.0617 (0.0627) loss_rec_sfr: 0.0731 (0.0920) loss_cl: -0.3668 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [10:22:57.073625] Epoch: [151] [540/850] eta: 0:04:28 lr: 0.002274 loss: 0.0243 (0.0266) loss_rec_all: 0.0605 (0.0627) loss_rec_sfr: 0.0719 (0.0919) loss_cl: -0.3665 (-0.3673) time: 0.8599 data: 0.0002 max mem: 29859 [10:23:14.340565] Epoch: [151] [560/850] eta: 0:04:11 lr: 0.002274 loss: 0.0238 (0.0265) loss_rec_all: 0.0598 (0.0626) loss_rec_sfr: 0.0698 (0.0917) loss_cl: -0.3678 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [10:23:31.546189] Epoch: [151] [580/850] eta: 0:03:53 lr: 0.002274 loss: 0.0248 (0.0265) loss_rec_all: 0.0608 (0.0626) loss_rec_sfr: 0.0737 (0.0914) loss_cl: -0.3676 (-0.3673) time: 0.8602 data: 0.0002 max mem: 29859 [10:23:48.786076] Epoch: [151] [600/850] eta: 0:03:36 lr: 0.002274 loss: 0.0269 (0.0265) loss_rec_all: 0.0628 (0.0626) loss_rec_sfr: 0.0935 (0.0915) loss_cl: -0.3669 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [10:24:06.030843] Epoch: [151] [620/850] eta: 0:03:19 lr: 0.002274 loss: 0.0274 (0.0265) loss_rec_all: 0.0633 (0.0626) loss_rec_sfr: 0.0737 (0.0916) loss_cl: -0.3667 (-0.3672) time: 0.8622 data: 0.0003 max mem: 29859 [10:24:23.267757] Epoch: [151] [640/850] eta: 0:03:01 lr: 0.002274 loss: 0.0262 (0.0265) loss_rec_all: 0.0623 (0.0626) loss_rec_sfr: 0.1045 (0.0919) loss_cl: -0.3667 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [10:24:40.484551] Epoch: [151] [660/850] eta: 0:02:44 lr: 0.002274 loss: 0.0253 (0.0265) loss_rec_all: 0.0615 (0.0626) loss_rec_sfr: 0.0659 (0.0916) loss_cl: -0.3676 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [10:24:57.740826] Epoch: [151] [680/850] eta: 0:02:27 lr: 0.002274 loss: 0.0253 (0.0265) loss_rec_all: 0.0615 (0.0626) loss_rec_sfr: 0.0892 (0.0916) loss_cl: -0.3684 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [10:25:14.939873] Epoch: [151] [700/850] eta: 0:02:09 lr: 0.002274 loss: 0.0250 (0.0265) loss_rec_all: 0.0614 (0.0626) loss_rec_sfr: 0.0671 (0.0913) loss_cl: -0.3683 (-0.3673) time: 0.8599 data: 0.0002 max mem: 29859 [10:25:32.173726] Epoch: [151] [720/850] eta: 0:01:52 lr: 0.002274 loss: 0.0260 (0.0265) loss_rec_all: 0.0622 (0.0626) loss_rec_sfr: 0.0879 (0.0912) loss_cl: -0.3673 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [10:25:49.428897] Epoch: [151] [740/850] eta: 0:01:35 lr: 0.002274 loss: 0.0248 (0.0265) loss_rec_all: 0.0610 (0.0626) loss_rec_sfr: 0.0694 (0.0910) loss_cl: -0.3666 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [10:26:06.662683] Epoch: [151] [760/850] eta: 0:01:17 lr: 0.002274 loss: 0.0247 (0.0265) loss_rec_all: 0.0606 (0.0626) loss_rec_sfr: 0.0924 (0.0911) loss_cl: -0.3667 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [10:26:23.877376] Epoch: [151] [780/850] eta: 0:01:00 lr: 0.002274 loss: 0.0253 (0.0265) loss_rec_all: 0.0616 (0.0626) loss_rec_sfr: 0.0893 (0.0911) loss_cl: -0.3671 (-0.3673) time: 0.8607 data: 0.0002 max mem: 29859 [10:26:41.160497] Epoch: [151] [800/850] eta: 0:00:43 lr: 0.002274 loss: 0.0254 (0.0265) loss_rec_all: 0.0614 (0.0626) loss_rec_sfr: 0.0888 (0.0911) loss_cl: -0.3679 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [10:26:58.361655] Epoch: [151] [820/850] eta: 0:00:25 lr: 0.002274 loss: 0.0262 (0.0265) loss_rec_all: 0.0624 (0.0626) loss_rec_sfr: 0.1115 (0.0914) loss_cl: -0.3686 (-0.3673) time: 0.8600 data: 0.0002 max mem: 29859 [10:27:15.590002] Epoch: [151] [840/850] eta: 0:00:08 lr: 0.002274 loss: 0.0262 (0.0265) loss_rec_all: 0.0622 (0.0626) loss_rec_sfr: 0.0947 (0.0916) loss_cl: -0.3682 (-0.3673) time: 0.8614 data: 0.0004 max mem: 29859 [10:27:23.355690] Epoch: [151] [849/850] eta: 0:00:00 lr: 0.002274 loss: 0.0265 (0.0265) loss_rec_all: 0.0625 (0.0626) loss_rec_sfr: 0.0947 (0.0916) loss_cl: -0.3678 (-0.3673) time: 0.8627 data: 0.0004 max mem: 29859 [10:27:23.510663] Epoch: [151] Total time: 0:12:14 (0.8647 s / it) [10:27:23.532680] Averaged stats: lr: 0.002274 loss: 0.0265 (0.0264) loss_rec_all: 0.0625 (0.0625) loss_rec_sfr: 0.0947 (0.0900) loss_cl: -0.3678 (-0.3672) [10:27:23.542467] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [10:27:28.167487] Epoch: [152] [ 0/850] eta: 1:05:30 lr: 0.002274 loss: 0.0315 (0.0315) loss_rec_all: 0.0676 (0.0676) loss_rec_sfr: 0.0990 (0.0990) loss_cl: -0.3672 (-0.3672) time: 4.6240 data: 3.3491 max mem: 29859 [10:27:45.326795] Epoch: [152] [ 20/850] eta: 0:14:20 lr: 0.002274 loss: 0.0288 (0.0291) loss_rec_all: 0.0646 (0.0652) loss_rec_sfr: 0.0703 (0.0907) loss_cl: -0.3668 (-0.3669) time: 0.8579 data: 0.0002 max mem: 29859 [10:28:02.540535] Epoch: [152] [ 40/850] eta: 0:12:50 lr: 0.002274 loss: 0.0290 (0.0294) loss_rec_all: 0.0646 (0.0654) loss_rec_sfr: 0.0752 (0.0898) loss_cl: -0.3661 (-0.3666) time: 0.8606 data: 0.0001 max mem: 29859 [10:28:19.782988] Epoch: [152] [ 60/850] eta: 0:12:08 lr: 0.002274 loss: 0.0281 (0.0292) loss_rec_all: 0.0639 (0.0652) loss_rec_sfr: 0.0975 (0.0925) loss_cl: -0.3664 (-0.3665) time: 0.8621 data: 0.0002 max mem: 29859 [10:28:37.010203] Epoch: [152] [ 80/850] eta: 0:11:38 lr: 0.002273 loss: 0.0288 (0.0292) loss_rec_all: 0.0648 (0.0652) loss_rec_sfr: 0.0781 (0.0924) loss_cl: -0.3661 (-0.3664) time: 0.8613 data: 0.0002 max mem: 29859 [10:28:54.206511] Epoch: [152] [100/850] eta: 0:11:13 lr: 0.002273 loss: 0.0258 (0.0288) loss_rec_all: 0.0617 (0.0648) loss_rec_sfr: 0.0775 (0.0916) loss_cl: -0.3668 (-0.3665) time: 0.8598 data: 0.0002 max mem: 29859 [10:29:11.475564] Epoch: [152] [120/850] eta: 0:10:51 lr: 0.002273 loss: 0.0266 (0.0286) loss_rec_all: 0.0628 (0.0646) loss_rec_sfr: 0.0725 (0.0909) loss_cl: -0.3672 (-0.3666) time: 0.8634 data: 0.0002 max mem: 29859 [10:29:28.686195] Epoch: [152] [140/850] eta: 0:10:30 lr: 0.002273 loss: 0.0266 (0.0284) loss_rec_all: 0.0629 (0.0644) loss_rec_sfr: 0.0960 (0.0916) loss_cl: -0.3677 (-0.3668) time: 0.8605 data: 0.0002 max mem: 29859 [10:29:45.925390] Epoch: [152] [160/850] eta: 0:10:10 lr: 0.002273 loss: 0.0255 (0.0280) loss_rec_all: 0.0618 (0.0641) loss_rec_sfr: 0.0932 (0.0925) loss_cl: -0.3678 (-0.3669) time: 0.8619 data: 0.0002 max mem: 29859 [10:30:03.144396] Epoch: [152] [180/850] eta: 0:09:50 lr: 0.002273 loss: 0.0255 (0.0279) loss_rec_all: 0.0618 (0.0639) loss_rec_sfr: 0.0644 (0.0919) loss_cl: -0.3677 (-0.3670) time: 0.8609 data: 0.0002 max mem: 29859 [10:30:20.390499] Epoch: [152] [200/850] eta: 0:09:31 lr: 0.002273 loss: 0.0268 (0.0279) loss_rec_all: 0.0625 (0.0639) loss_rec_sfr: 0.0958 (0.0929) loss_cl: -0.3674 (-0.3670) time: 0.8623 data: 0.0002 max mem: 29859 [10:30:37.585403] Epoch: [152] [220/850] eta: 0:09:13 lr: 0.002273 loss: 0.0275 (0.0278) loss_rec_all: 0.0632 (0.0639) loss_rec_sfr: 0.0899 (0.0935) loss_cl: -0.3675 (-0.3671) time: 0.8597 data: 0.0002 max mem: 29859 [10:30:54.859961] Epoch: [152] [240/850] eta: 0:08:54 lr: 0.002273 loss: 0.0249 (0.0277) loss_rec_all: 0.0609 (0.0637) loss_rec_sfr: 0.0730 (0.0927) loss_cl: -0.3672 (-0.3671) time: 0.8637 data: 0.0002 max mem: 29859 [10:31:12.047213] Epoch: [152] [260/850] eta: 0:08:36 lr: 0.002273 loss: 0.0253 (0.0275) loss_rec_all: 0.0612 (0.0635) loss_rec_sfr: 0.0744 (0.0926) loss_cl: -0.3668 (-0.3671) time: 0.8593 data: 0.0002 max mem: 29859 [10:31:29.293618] Epoch: [152] [280/850] eta: 0:08:18 lr: 0.002273 loss: 0.0241 (0.0274) loss_rec_all: 0.0603 (0.0634) loss_rec_sfr: 0.0926 (0.0925) loss_cl: -0.3672 (-0.3671) time: 0.8623 data: 0.0002 max mem: 29859 [10:31:46.512849] Epoch: [152] [300/850] eta: 0:08:00 lr: 0.002273 loss: 0.0250 (0.0272) loss_rec_all: 0.0611 (0.0633) loss_rec_sfr: 0.1014 (0.0929) loss_cl: -0.3674 (-0.3671) time: 0.8609 data: 0.0002 max mem: 29859 [10:32:03.758029] Epoch: [152] [320/850] eta: 0:07:42 lr: 0.002273 loss: 0.0231 (0.0270) loss_rec_all: 0.0594 (0.0631) loss_rec_sfr: 0.0617 (0.0915) loss_cl: -0.3675 (-0.3671) time: 0.8622 data: 0.0002 max mem: 29859 [10:32:20.955273] Epoch: [152] [340/850] eta: 0:07:24 lr: 0.002273 loss: 0.0245 (0.0269) loss_rec_all: 0.0608 (0.0630) loss_rec_sfr: 0.0644 (0.0911) loss_cl: -0.3678 (-0.3672) time: 0.8598 data: 0.0002 max mem: 29859 [10:32:38.265207] Epoch: [152] [360/850] eta: 0:07:07 lr: 0.002273 loss: 0.0270 (0.0269) loss_rec_all: 0.0628 (0.0630) loss_rec_sfr: 0.0949 (0.0915) loss_cl: -0.3676 (-0.3672) time: 0.8654 data: 0.0002 max mem: 29859 [10:32:55.452249] Epoch: [152] [380/850] eta: 0:06:49 lr: 0.002273 loss: 0.0263 (0.0270) loss_rec_all: 0.0625 (0.0631) loss_rec_sfr: 0.0993 (0.0915) loss_cl: -0.3669 (-0.3672) time: 0.8593 data: 0.0002 max mem: 29859 [10:33:12.695144] Epoch: [152] [400/850] eta: 0:06:31 lr: 0.002273 loss: 0.0254 (0.0270) loss_rec_all: 0.0618 (0.0630) loss_rec_sfr: 0.0762 (0.0914) loss_cl: -0.3673 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [10:33:29.909176] Epoch: [152] [420/850] eta: 0:06:14 lr: 0.002273 loss: 0.0261 (0.0270) loss_rec_all: 0.0624 (0.0630) loss_rec_sfr: 0.0775 (0.0912) loss_cl: -0.3677 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [10:33:47.152738] Epoch: [152] [440/850] eta: 0:05:56 lr: 0.002273 loss: 0.0291 (0.0271) loss_rec_all: 0.0650 (0.0632) loss_rec_sfr: 0.1043 (0.0917) loss_cl: -0.3675 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [10:34:04.349966] Epoch: [152] [460/850] eta: 0:05:39 lr: 0.002272 loss: 0.0286 (0.0272) loss_rec_all: 0.0645 (0.0633) loss_rec_sfr: 0.0994 (0.0918) loss_cl: -0.3674 (-0.3672) time: 0.8598 data: 0.0002 max mem: 29859 [10:34:21.608416] Epoch: [152] [480/850] eta: 0:05:21 lr: 0.002272 loss: 0.0271 (0.0273) loss_rec_all: 0.0630 (0.0633) loss_rec_sfr: 0.0956 (0.0920) loss_cl: -0.3671 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [10:34:38.814417] Epoch: [152] [500/850] eta: 0:05:04 lr: 0.002272 loss: 0.0268 (0.0273) loss_rec_all: 0.0629 (0.0633) loss_rec_sfr: 0.0782 (0.0919) loss_cl: -0.3670 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [10:34:56.053911] Epoch: [152] [520/850] eta: 0:04:46 lr: 0.002272 loss: 0.0254 (0.0272) loss_rec_all: 0.0616 (0.0633) loss_rec_sfr: 0.0641 (0.0911) loss_cl: -0.3662 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [10:35:13.310847] Epoch: [152] [540/850] eta: 0:04:29 lr: 0.002272 loss: 0.0253 (0.0272) loss_rec_all: 0.0613 (0.0633) loss_rec_sfr: 0.0763 (0.0910) loss_cl: -0.3668 (-0.3671) time: 0.8628 data: 0.0002 max mem: 29859 [10:35:30.536816] Epoch: [152] [560/850] eta: 0:04:11 lr: 0.002272 loss: 0.0243 (0.0271) loss_rec_all: 0.0607 (0.0632) loss_rec_sfr: 0.0686 (0.0909) loss_cl: -0.3673 (-0.3671) time: 0.8612 data: 0.0002 max mem: 29859 [10:35:47.737662] Epoch: [152] [580/850] eta: 0:03:54 lr: 0.002272 loss: 0.0261 (0.0272) loss_rec_all: 0.0623 (0.0632) loss_rec_sfr: 0.0912 (0.0909) loss_cl: -0.3676 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [10:36:04.993733] Epoch: [152] [600/850] eta: 0:03:36 lr: 0.002272 loss: 0.0257 (0.0272) loss_rec_all: 0.0620 (0.0632) loss_rec_sfr: 0.0708 (0.0906) loss_cl: -0.3674 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [10:36:22.207318] Epoch: [152] [620/850] eta: 0:03:19 lr: 0.002272 loss: 0.0291 (0.0272) loss_rec_all: 0.0649 (0.0633) loss_rec_sfr: 0.0989 (0.0909) loss_cl: -0.3675 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [10:36:39.445576] Epoch: [152] [640/850] eta: 0:03:02 lr: 0.002272 loss: 0.0259 (0.0272) loss_rec_all: 0.0622 (0.0633) loss_rec_sfr: 0.0650 (0.0910) loss_cl: -0.3671 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [10:36:56.692554] Epoch: [152] [660/850] eta: 0:02:44 lr: 0.002272 loss: 0.0271 (0.0272) loss_rec_all: 0.0633 (0.0633) loss_rec_sfr: 0.0953 (0.0912) loss_cl: -0.3673 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [10:37:13.922873] Epoch: [152] [680/850] eta: 0:02:27 lr: 0.002272 loss: 0.0255 (0.0272) loss_rec_all: 0.0617 (0.0633) loss_rec_sfr: 0.0675 (0.0911) loss_cl: -0.3674 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [10:37:31.154455] Epoch: [152] [700/850] eta: 0:02:10 lr: 0.002272 loss: 0.0273 (0.0272) loss_rec_all: 0.0631 (0.0633) loss_rec_sfr: 0.0846 (0.0914) loss_cl: -0.3670 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [10:37:48.439192] Epoch: [152] [720/850] eta: 0:01:52 lr: 0.002272 loss: 0.0261 (0.0272) loss_rec_all: 0.0620 (0.0633) loss_rec_sfr: 0.0766 (0.0913) loss_cl: -0.3674 (-0.3672) time: 0.8642 data: 0.0002 max mem: 29859 [10:38:05.627296] Epoch: [152] [740/850] eta: 0:01:35 lr: 0.002272 loss: 0.0267 (0.0272) loss_rec_all: 0.0626 (0.0633) loss_rec_sfr: 0.0980 (0.0916) loss_cl: -0.3674 (-0.3672) time: 0.8594 data: 0.0002 max mem: 29859 [10:38:22.869492] Epoch: [152] [760/850] eta: 0:01:17 lr: 0.002272 loss: 0.0261 (0.0272) loss_rec_all: 0.0623 (0.0633) loss_rec_sfr: 0.0763 (0.0915) loss_cl: -0.3673 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [10:38:40.103819] Epoch: [152] [780/850] eta: 0:01:00 lr: 0.002272 loss: 0.0256 (0.0272) loss_rec_all: 0.0614 (0.0633) loss_rec_sfr: 0.0635 (0.0911) loss_cl: -0.3674 (-0.3672) time: 0.8617 data: 0.0003 max mem: 29859 [10:38:57.564744] Epoch: [152] [800/850] eta: 0:00:43 lr: 0.002272 loss: 0.0250 (0.0272) loss_rec_all: 0.0610 (0.0633) loss_rec_sfr: 0.1041 (0.0913) loss_cl: -0.3675 (-0.3672) time: 0.8730 data: 0.0002 max mem: 29859 [10:39:14.765540] Epoch: [152] [820/850] eta: 0:00:25 lr: 0.002272 loss: 0.0261 (0.0272) loss_rec_all: 0.0620 (0.0633) loss_rec_sfr: 0.0757 (0.0911) loss_cl: -0.3669 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [10:39:32.035097] Epoch: [152] [840/850] eta: 0:00:08 lr: 0.002271 loss: 0.0257 (0.0272) loss_rec_all: 0.0617 (0.0632) loss_rec_sfr: 0.0719 (0.0910) loss_cl: -0.3666 (-0.3672) time: 0.8634 data: 0.0005 max mem: 29859 [10:39:39.785144] Epoch: [152] [849/850] eta: 0:00:00 lr: 0.002271 loss: 0.0274 (0.0272) loss_rec_all: 0.0631 (0.0633) loss_rec_sfr: 0.1048 (0.0912) loss_cl: -0.3667 (-0.3672) time: 0.8637 data: 0.0005 max mem: 29859 [10:39:39.927536] Epoch: [152] Total time: 0:12:16 (0.8663 s / it) [10:39:39.949836] Averaged stats: lr: 0.002271 loss: 0.0274 (0.0272) loss_rec_all: 0.0631 (0.0633) loss_rec_sfr: 0.1048 (0.0914) loss_cl: -0.3667 (-0.3672) [10:39:39.958548] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [10:39:44.567788] Epoch: [153] [ 0/850] eta: 1:05:17 lr: 0.002271 loss: 0.0270 (0.0270) loss_rec_all: 0.0633 (0.0633) loss_rec_sfr: 0.0687 (0.0687) loss_cl: -0.3672 (-0.3672) time: 4.6084 data: 3.7516 max mem: 29859 [10:40:01.746017] Epoch: [153] [ 20/850] eta: 0:14:21 lr: 0.002271 loss: 0.0249 (0.0255) loss_rec_all: 0.0611 (0.0615) loss_rec_sfr: 0.1062 (0.0994) loss_cl: -0.3672 (-0.3672) time: 0.8588 data: 0.0002 max mem: 29859 [10:40:19.022009] Epoch: [153] [ 40/850] eta: 0:12:51 lr: 0.002271 loss: 0.0245 (0.0256) loss_rec_all: 0.0607 (0.0617) loss_rec_sfr: 0.0702 (0.0928) loss_cl: -0.3682 (-0.3676) time: 0.8637 data: 0.0002 max mem: 29859 [10:40:36.388307] Epoch: [153] [ 60/850] eta: 0:12:10 lr: 0.002271 loss: 0.0249 (0.0255) loss_rec_all: 0.0613 (0.0617) loss_rec_sfr: 0.0785 (0.0902) loss_cl: -0.3683 (-0.3678) time: 0.8682 data: 0.0003 max mem: 29859 [10:40:53.636537] Epoch: [153] [ 80/850] eta: 0:11:40 lr: 0.002271 loss: 0.0242 (0.0255) loss_rec_all: 0.0604 (0.0617) loss_rec_sfr: 0.0699 (0.0872) loss_cl: -0.3677 (-0.3679) time: 0.8623 data: 0.0003 max mem: 29859 [10:41:10.842546] Epoch: [153] [100/850] eta: 0:11:14 lr: 0.002271 loss: 0.0247 (0.0254) loss_rec_all: 0.0609 (0.0616) loss_rec_sfr: 0.0921 (0.0877) loss_cl: -0.3675 (-0.3677) time: 0.8602 data: 0.0002 max mem: 29859 [10:41:28.219654] Epoch: [153] [120/850] eta: 0:10:53 lr: 0.002271 loss: 0.0250 (0.0255) loss_rec_all: 0.0612 (0.0617) loss_rec_sfr: 0.0680 (0.0862) loss_cl: -0.3666 (-0.3676) time: 0.8688 data: 0.0003 max mem: 29859 [10:41:45.444226] Epoch: [153] [140/850] eta: 0:10:31 lr: 0.002271 loss: 0.0262 (0.0257) loss_rec_all: 0.0621 (0.0618) loss_rec_sfr: 0.0737 (0.0861) loss_cl: -0.3664 (-0.3674) time: 0.8611 data: 0.0003 max mem: 29859 [10:42:02.699608] Epoch: [153] [160/850] eta: 0:10:11 lr: 0.002271 loss: 0.0267 (0.0259) loss_rec_all: 0.0623 (0.0620) loss_rec_sfr: 0.0939 (0.0875) loss_cl: -0.3669 (-0.3673) time: 0.8627 data: 0.0003 max mem: 29859 [10:42:19.910703] Epoch: [153] [180/850] eta: 0:09:52 lr: 0.002271 loss: 0.0240 (0.0258) loss_rec_all: 0.0601 (0.0619) loss_rec_sfr: 0.0930 (0.0877) loss_cl: -0.3673 (-0.3673) time: 0.8605 data: 0.0003 max mem: 29859 [10:42:37.212915] Epoch: [153] [200/850] eta: 0:09:33 lr: 0.002271 loss: 0.0265 (0.0258) loss_rec_all: 0.0624 (0.0620) loss_rec_sfr: 0.0932 (0.0887) loss_cl: -0.3676 (-0.3673) time: 0.8651 data: 0.0002 max mem: 29859 [10:42:54.454952] Epoch: [153] [220/850] eta: 0:09:14 lr: 0.002271 loss: 0.0257 (0.0259) loss_rec_all: 0.0616 (0.0620) loss_rec_sfr: 0.0709 (0.0884) loss_cl: -0.3676 (-0.3673) time: 0.8620 data: 0.0003 max mem: 29859 [10:43:11.705750] Epoch: [153] [240/850] eta: 0:08:55 lr: 0.002271 loss: 0.0245 (0.0259) loss_rec_all: 0.0606 (0.0620) loss_rec_sfr: 0.0736 (0.0883) loss_cl: -0.3674 (-0.3674) time: 0.8625 data: 0.0003 max mem: 29859 [10:43:28.990422] Epoch: [153] [260/850] eta: 0:08:37 lr: 0.002271 loss: 0.0253 (0.0259) loss_rec_all: 0.0613 (0.0620) loss_rec_sfr: 0.0898 (0.0887) loss_cl: -0.3673 (-0.3674) time: 0.8642 data: 0.0003 max mem: 29859 [10:43:46.309844] Epoch: [153] [280/850] eta: 0:08:19 lr: 0.002271 loss: 0.0252 (0.0259) loss_rec_all: 0.0613 (0.0620) loss_rec_sfr: 0.0906 (0.0889) loss_cl: -0.3666 (-0.3673) time: 0.8659 data: 0.0003 max mem: 29859 [10:44:03.518058] Epoch: [153] [300/850] eta: 0:08:01 lr: 0.002271 loss: 0.0257 (0.0259) loss_rec_all: 0.0617 (0.0620) loss_rec_sfr: 0.0709 (0.0886) loss_cl: -0.3664 (-0.3672) time: 0.8604 data: 0.0003 max mem: 29859 [10:44:20.813418] Epoch: [153] [320/850] eta: 0:07:43 lr: 0.002271 loss: 0.0281 (0.0261) loss_rec_all: 0.0641 (0.0622) loss_rec_sfr: 0.0884 (0.0887) loss_cl: -0.3665 (-0.3672) time: 0.8647 data: 0.0003 max mem: 29859 [10:44:38.229206] Epoch: [153] [340/850] eta: 0:07:26 lr: 0.002271 loss: 0.0273 (0.0263) loss_rec_all: 0.0637 (0.0624) loss_rec_sfr: 0.0731 (0.0892) loss_cl: -0.3673 (-0.3672) time: 0.8707 data: 0.0004 max mem: 29859 [10:44:55.491212] Epoch: [153] [360/850] eta: 0:07:08 lr: 0.002271 loss: 0.0276 (0.0264) loss_rec_all: 0.0637 (0.0625) loss_rec_sfr: 0.0925 (0.0894) loss_cl: -0.3677 (-0.3672) time: 0.8630 data: 0.0003 max mem: 29859 [10:45:12.701798] Epoch: [153] [380/850] eta: 0:06:50 lr: 0.002270 loss: 0.0286 (0.0265) loss_rec_all: 0.0645 (0.0626) loss_rec_sfr: 0.0968 (0.0899) loss_cl: -0.3678 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [10:45:29.978541] Epoch: [153] [400/850] eta: 0:06:32 lr: 0.002270 loss: 0.0264 (0.0266) loss_rec_all: 0.0626 (0.0627) loss_rec_sfr: 0.0739 (0.0896) loss_cl: -0.3677 (-0.3672) time: 0.8638 data: 0.0003 max mem: 29859 [10:45:47.205917] Epoch: [153] [420/850] eta: 0:06:15 lr: 0.002270 loss: 0.0258 (0.0266) loss_rec_all: 0.0622 (0.0627) loss_rec_sfr: 0.0788 (0.0895) loss_cl: -0.3675 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [10:46:04.460588] Epoch: [153] [440/850] eta: 0:05:57 lr: 0.002270 loss: 0.0270 (0.0267) loss_rec_all: 0.0628 (0.0628) loss_rec_sfr: 0.0944 (0.0897) loss_cl: -0.3668 (-0.3672) time: 0.8627 data: 0.0004 max mem: 29859 [10:46:21.695688] Epoch: [153] [460/850] eta: 0:05:39 lr: 0.002270 loss: 0.0268 (0.0267) loss_rec_all: 0.0626 (0.0628) loss_rec_sfr: 0.0976 (0.0900) loss_cl: -0.3672 (-0.3672) time: 0.8617 data: 0.0003 max mem: 29859 [10:46:39.008596] Epoch: [153] [480/850] eta: 0:05:22 lr: 0.002270 loss: 0.0261 (0.0268) loss_rec_all: 0.0623 (0.0629) loss_rec_sfr: 0.0805 (0.0899) loss_cl: -0.3672 (-0.3672) time: 0.8656 data: 0.0003 max mem: 29859 [10:46:56.234433] Epoch: [153] [500/850] eta: 0:05:04 lr: 0.002270 loss: 0.0305 (0.0270) loss_rec_all: 0.0664 (0.0631) loss_rec_sfr: 0.0798 (0.0901) loss_cl: -0.3674 (-0.3672) time: 0.8612 data: 0.0002 max mem: 29859 [10:47:13.530267] Epoch: [153] [520/850] eta: 0:04:47 lr: 0.002270 loss: 0.0285 (0.0271) loss_rec_all: 0.0643 (0.0632) loss_rec_sfr: 0.0758 (0.0902) loss_cl: -0.3672 (-0.3672) time: 0.8647 data: 0.0003 max mem: 29859 [10:47:30.839051] Epoch: [153] [540/850] eta: 0:04:29 lr: 0.002270 loss: 0.0286 (0.0272) loss_rec_all: 0.0649 (0.0632) loss_rec_sfr: 0.0703 (0.0902) loss_cl: -0.3669 (-0.3672) time: 0.8653 data: 0.0003 max mem: 29859 [10:47:48.088882] Epoch: [153] [560/850] eta: 0:04:12 lr: 0.002270 loss: 0.0298 (0.0273) loss_rec_all: 0.0659 (0.0634) loss_rec_sfr: 0.0983 (0.0904) loss_cl: -0.3669 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [10:48:05.292574] Epoch: [153] [580/850] eta: 0:03:54 lr: 0.002270 loss: 0.0277 (0.0273) loss_rec_all: 0.0639 (0.0634) loss_rec_sfr: 0.0730 (0.0903) loss_cl: -0.3673 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [10:48:22.613705] Epoch: [153] [600/850] eta: 0:03:37 lr: 0.002270 loss: 0.0261 (0.0273) loss_rec_all: 0.0624 (0.0634) loss_rec_sfr: 0.0707 (0.0903) loss_cl: -0.3678 (-0.3672) time: 0.8660 data: 0.0003 max mem: 29859 [10:48:39.819940] Epoch: [153] [620/850] eta: 0:03:19 lr: 0.002270 loss: 0.0263 (0.0273) loss_rec_all: 0.0621 (0.0634) loss_rec_sfr: 0.0946 (0.0903) loss_cl: -0.3672 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [10:48:57.067489] Epoch: [153] [640/850] eta: 0:03:02 lr: 0.002270 loss: 0.0256 (0.0273) loss_rec_all: 0.0615 (0.0634) loss_rec_sfr: 0.0962 (0.0905) loss_cl: -0.3675 (-0.3672) time: 0.8623 data: 0.0004 max mem: 29859 [10:49:14.290793] Epoch: [153] [660/850] eta: 0:02:45 lr: 0.002270 loss: 0.0252 (0.0272) loss_rec_all: 0.0613 (0.0633) loss_rec_sfr: 0.0664 (0.0902) loss_cl: -0.3669 (-0.3672) time: 0.8611 data: 0.0002 max mem: 29859 [10:49:31.597907] Epoch: [153] [680/850] eta: 0:02:27 lr: 0.002270 loss: 0.0252 (0.0272) loss_rec_all: 0.0614 (0.0633) loss_rec_sfr: 0.0921 (0.0902) loss_cl: -0.3670 (-0.3672) time: 0.8653 data: 0.0003 max mem: 29859 [10:49:48.866787] Epoch: [153] [700/850] eta: 0:02:10 lr: 0.002270 loss: 0.0240 (0.0271) loss_rec_all: 0.0601 (0.0632) loss_rec_sfr: 0.0731 (0.0900) loss_cl: -0.3669 (-0.3672) time: 0.8634 data: 0.0003 max mem: 29859 [10:50:06.170530] Epoch: [153] [720/850] eta: 0:01:52 lr: 0.002270 loss: 0.0230 (0.0270) loss_rec_all: 0.0593 (0.0631) loss_rec_sfr: 0.0631 (0.0897) loss_cl: -0.3674 (-0.3672) time: 0.8651 data: 0.0003 max mem: 29859 [10:50:23.497057] Epoch: [153] [740/850] eta: 0:01:35 lr: 0.002270 loss: 0.0243 (0.0270) loss_rec_all: 0.0607 (0.0631) loss_rec_sfr: 0.0677 (0.0894) loss_cl: -0.3672 (-0.3672) time: 0.8663 data: 0.0003 max mem: 29859 [10:50:40.763270] Epoch: [153] [760/850] eta: 0:01:18 lr: 0.002269 loss: 0.0244 (0.0269) loss_rec_all: 0.0606 (0.0630) loss_rec_sfr: 0.0640 (0.0892) loss_cl: -0.3671 (-0.3672) time: 0.8633 data: 0.0003 max mem: 29859 [10:50:58.046340] Epoch: [153] [780/850] eta: 0:01:00 lr: 0.002269 loss: 0.0247 (0.0269) loss_rec_all: 0.0608 (0.0630) loss_rec_sfr: 0.0755 (0.0891) loss_cl: -0.3670 (-0.3672) time: 0.8641 data: 0.0004 max mem: 29859 [10:51:15.350831] Epoch: [153] [800/850] eta: 0:00:43 lr: 0.002269 loss: 0.0278 (0.0270) loss_rec_all: 0.0636 (0.0631) loss_rec_sfr: 0.0991 (0.0894) loss_cl: -0.3675 (-0.3672) time: 0.8652 data: 0.0003 max mem: 29859 [10:51:32.600813] Epoch: [153] [820/850] eta: 0:00:26 lr: 0.002269 loss: 0.0262 (0.0270) loss_rec_all: 0.0622 (0.0631) loss_rec_sfr: 0.0752 (0.0893) loss_cl: -0.3680 (-0.3672) time: 0.8624 data: 0.0003 max mem: 29859 [10:51:49.876997] Epoch: [153] [840/850] eta: 0:00:08 lr: 0.002269 loss: 0.0241 (0.0269) loss_rec_all: 0.0605 (0.0630) loss_rec_sfr: 0.0649 (0.0893) loss_cl: -0.3679 (-0.3672) time: 0.8637 data: 0.0005 max mem: 29859 [10:51:57.658123] Epoch: [153] [849/850] eta: 0:00:00 lr: 0.002269 loss: 0.0247 (0.0269) loss_rec_all: 0.0610 (0.0630) loss_rec_sfr: 0.0653 (0.0893) loss_cl: -0.3678 (-0.3672) time: 0.8640 data: 0.0005 max mem: 29859 [10:51:57.836204] Epoch: [153] Total time: 0:12:17 (0.8681 s / it) [10:51:57.845582] Averaged stats: lr: 0.002269 loss: 0.0247 (0.0270) loss_rec_all: 0.0610 (0.0631) loss_rec_sfr: 0.0653 (0.0898) loss_cl: -0.3678 (-0.3672) [10:51:57.854245] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [10:52:02.892244] Epoch: [154] [ 0/850] eta: 1:11:21 lr: 0.002269 loss: 0.0271 (0.0271) loss_rec_all: 0.0629 (0.0629) loss_rec_sfr: 0.1315 (0.1315) loss_cl: -0.3666 (-0.3666) time: 5.0369 data: 4.1786 max mem: 29859 [10:52:20.709930] Epoch: [154] [ 20/850] eta: 0:15:03 lr: 0.002269 loss: 0.0247 (0.0255) loss_rec_all: 0.0607 (0.0616) loss_rec_sfr: 0.0683 (0.0910) loss_cl: -0.3667 (-0.3668) time: 0.8908 data: 0.0004 max mem: 29859 [10:52:37.946356] Epoch: [154] [ 40/850] eta: 0:13:11 lr: 0.002269 loss: 0.0257 (0.0260) loss_rec_all: 0.0616 (0.0621) loss_rec_sfr: 0.0934 (0.0929) loss_cl: -0.3666 (-0.3667) time: 0.8618 data: 0.0002 max mem: 29859 [10:52:55.208923] Epoch: [154] [ 60/850] eta: 0:12:22 lr: 0.002269 loss: 0.0272 (0.0265) loss_rec_all: 0.0630 (0.0625) loss_rec_sfr: 0.1123 (0.0983) loss_cl: -0.3667 (-0.3667) time: 0.8630 data: 0.0003 max mem: 29859 [10:53:12.505087] Epoch: [154] [ 80/850] eta: 0:11:49 lr: 0.002269 loss: 0.0254 (0.0265) loss_rec_all: 0.0617 (0.0626) loss_rec_sfr: 0.0724 (0.0947) loss_cl: -0.3674 (-0.3669) time: 0.8647 data: 0.0002 max mem: 29859 [10:53:29.694988] Epoch: [154] [100/850] eta: 0:11:21 lr: 0.002269 loss: 0.0265 (0.0268) loss_rec_all: 0.0628 (0.0629) loss_rec_sfr: 0.0688 (0.0914) loss_cl: -0.3680 (-0.3671) time: 0.8594 data: 0.0002 max mem: 29859 [10:53:46.957292] Epoch: [154] [120/850] eta: 0:10:58 lr: 0.002269 loss: 0.0262 (0.0269) loss_rec_all: 0.0623 (0.0629) loss_rec_sfr: 0.1069 (0.0929) loss_cl: -0.3680 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [10:54:04.209393] Epoch: [154] [140/850] eta: 0:10:36 lr: 0.002269 loss: 0.0265 (0.0269) loss_rec_all: 0.0624 (0.0629) loss_rec_sfr: 0.0899 (0.0930) loss_cl: -0.3677 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [10:54:21.460730] Epoch: [154] [160/850] eta: 0:10:15 lr: 0.002269 loss: 0.0255 (0.0268) loss_rec_all: 0.0618 (0.0629) loss_rec_sfr: 0.0751 (0.0924) loss_cl: -0.3672 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [10:54:38.691930] Epoch: [154] [180/850] eta: 0:09:55 lr: 0.002269 loss: 0.0258 (0.0268) loss_rec_all: 0.0618 (0.0629) loss_rec_sfr: 0.0965 (0.0922) loss_cl: -0.3674 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [10:54:56.010152] Epoch: [154] [200/850] eta: 0:09:36 lr: 0.002269 loss: 0.0249 (0.0267) loss_rec_all: 0.0609 (0.0628) loss_rec_sfr: 0.0891 (0.0917) loss_cl: -0.3671 (-0.3673) time: 0.8659 data: 0.0003 max mem: 29859 [10:55:13.218306] Epoch: [154] [220/850] eta: 0:09:16 lr: 0.002269 loss: 0.0244 (0.0266) loss_rec_all: 0.0605 (0.0627) loss_rec_sfr: 0.0761 (0.0916) loss_cl: -0.3674 (-0.3673) time: 0.8604 data: 0.0002 max mem: 29859 [10:55:30.482406] Epoch: [154] [240/850] eta: 0:08:58 lr: 0.002269 loss: 0.0253 (0.0265) loss_rec_all: 0.0613 (0.0626) loss_rec_sfr: 0.0803 (0.0912) loss_cl: -0.3682 (-0.3674) time: 0.8631 data: 0.0003 max mem: 29859 [10:55:47.806293] Epoch: [154] [260/850] eta: 0:08:39 lr: 0.002269 loss: 0.0240 (0.0264) loss_rec_all: 0.0604 (0.0625) loss_rec_sfr: 0.0723 (0.0907) loss_cl: -0.3682 (-0.3674) time: 0.8661 data: 0.0003 max mem: 29859 [10:56:05.081085] Epoch: [154] [280/850] eta: 0:08:21 lr: 0.002268 loss: 0.0246 (0.0263) loss_rec_all: 0.0606 (0.0624) loss_rec_sfr: 0.0639 (0.0904) loss_cl: -0.3675 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [10:56:22.285749] Epoch: [154] [300/850] eta: 0:08:03 lr: 0.002268 loss: 0.0230 (0.0262) loss_rec_all: 0.0591 (0.0623) loss_rec_sfr: 0.0646 (0.0896) loss_cl: -0.3669 (-0.3674) time: 0.8602 data: 0.0002 max mem: 29859 [10:56:39.562807] Epoch: [154] [320/850] eta: 0:07:45 lr: 0.002268 loss: 0.0251 (0.0262) loss_rec_all: 0.0611 (0.0622) loss_rec_sfr: 0.1037 (0.0903) loss_cl: -0.3664 (-0.3673) time: 0.8638 data: 0.0003 max mem: 29859 [10:56:56.832862] Epoch: [154] [340/850] eta: 0:07:27 lr: 0.002268 loss: 0.0246 (0.0261) loss_rec_all: 0.0609 (0.0622) loss_rec_sfr: 0.0734 (0.0898) loss_cl: -0.3666 (-0.3673) time: 0.8634 data: 0.0003 max mem: 29859 [10:57:14.298316] Epoch: [154] [360/850] eta: 0:07:09 lr: 0.002268 loss: 0.0265 (0.0262) loss_rec_all: 0.0627 (0.0623) loss_rec_sfr: 0.0858 (0.0902) loss_cl: -0.3668 (-0.3672) time: 0.8732 data: 0.0003 max mem: 29859 [10:57:31.539095] Epoch: [154] [380/850] eta: 0:06:51 lr: 0.002268 loss: 0.0265 (0.0262) loss_rec_all: 0.0623 (0.0623) loss_rec_sfr: 0.0935 (0.0906) loss_cl: -0.3668 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [10:57:48.825539] Epoch: [154] [400/850] eta: 0:06:33 lr: 0.002268 loss: 0.0246 (0.0262) loss_rec_all: 0.0606 (0.0623) loss_rec_sfr: 0.0945 (0.0905) loss_cl: -0.3670 (-0.3672) time: 0.8643 data: 0.0002 max mem: 29859 [10:58:06.073046] Epoch: [154] [420/850] eta: 0:06:16 lr: 0.002268 loss: 0.0271 (0.0263) loss_rec_all: 0.0632 (0.0624) loss_rec_sfr: 0.0712 (0.0905) loss_cl: -0.3667 (-0.3672) time: 0.8623 data: 0.0003 max mem: 29859 [10:58:23.336596] Epoch: [154] [440/850] eta: 0:05:58 lr: 0.002268 loss: 0.0269 (0.0264) loss_rec_all: 0.0631 (0.0624) loss_rec_sfr: 0.0723 (0.0901) loss_cl: -0.3673 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [10:58:40.774106] Epoch: [154] [460/850] eta: 0:05:40 lr: 0.002268 loss: 0.0272 (0.0264) loss_rec_all: 0.0632 (0.0625) loss_rec_sfr: 0.0976 (0.0905) loss_cl: -0.3674 (-0.3672) time: 0.8718 data: 0.0003 max mem: 29859 [10:58:58.086648] Epoch: [154] [480/850] eta: 0:05:23 lr: 0.002268 loss: 0.0261 (0.0265) loss_rec_all: 0.0623 (0.0626) loss_rec_sfr: 0.1018 (0.0908) loss_cl: -0.3678 (-0.3672) time: 0.8656 data: 0.0002 max mem: 29859 [10:59:15.319611] Epoch: [154] [500/850] eta: 0:05:05 lr: 0.002268 loss: 0.0247 (0.0264) loss_rec_all: 0.0610 (0.0625) loss_rec_sfr: 0.0641 (0.0905) loss_cl: -0.3678 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [10:59:32.840018] Epoch: [154] [520/850] eta: 0:04:48 lr: 0.002268 loss: 0.0246 (0.0264) loss_rec_all: 0.0610 (0.0625) loss_rec_sfr: 0.0743 (0.0903) loss_cl: -0.3677 (-0.3672) time: 0.8759 data: 0.0003 max mem: 29859 [10:59:50.107566] Epoch: [154] [540/850] eta: 0:04:30 lr: 0.002268 loss: 0.0248 (0.0263) loss_rec_all: 0.0608 (0.0624) loss_rec_sfr: 0.0673 (0.0902) loss_cl: -0.3673 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [11:00:07.376190] Epoch: [154] [560/850] eta: 0:04:13 lr: 0.002268 loss: 0.0253 (0.0263) loss_rec_all: 0.0613 (0.0624) loss_rec_sfr: 0.0717 (0.0901) loss_cl: -0.3675 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [11:00:24.635573] Epoch: [154] [580/850] eta: 0:03:55 lr: 0.002268 loss: 0.0253 (0.0264) loss_rec_all: 0.0616 (0.0625) loss_rec_sfr: 0.0722 (0.0899) loss_cl: -0.3677 (-0.3673) time: 0.8629 data: 0.0003 max mem: 29859 [11:00:42.107336] Epoch: [154] [600/850] eta: 0:03:38 lr: 0.002268 loss: 0.0274 (0.0264) loss_rec_all: 0.0636 (0.0625) loss_rec_sfr: 0.1019 (0.0902) loss_cl: -0.3675 (-0.3673) time: 0.8735 data: 0.0003 max mem: 29859 [11:00:59.356828] Epoch: [154] [620/850] eta: 0:03:20 lr: 0.002268 loss: 0.0280 (0.0265) loss_rec_all: 0.0640 (0.0626) loss_rec_sfr: 0.0980 (0.0906) loss_cl: -0.3674 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [11:01:16.754105] Epoch: [154] [640/850] eta: 0:03:03 lr: 0.002268 loss: 0.0272 (0.0265) loss_rec_all: 0.0633 (0.0626) loss_rec_sfr: 0.0933 (0.0908) loss_cl: -0.3671 (-0.3673) time: 0.8698 data: 0.0004 max mem: 29859 [11:01:34.012279] Epoch: [154] [660/850] eta: 0:02:45 lr: 0.002267 loss: 0.0262 (0.0265) loss_rec_all: 0.0620 (0.0626) loss_rec_sfr: 0.0972 (0.0910) loss_cl: -0.3666 (-0.3672) time: 0.8629 data: 0.0003 max mem: 29859 [11:01:51.305037] Epoch: [154] [680/850] eta: 0:02:28 lr: 0.002267 loss: 0.0262 (0.0266) loss_rec_all: 0.0626 (0.0626) loss_rec_sfr: 0.0932 (0.0911) loss_cl: -0.3664 (-0.3672) time: 0.8646 data: 0.0002 max mem: 29859 [11:02:08.609744] Epoch: [154] [700/850] eta: 0:02:10 lr: 0.002267 loss: 0.0260 (0.0266) loss_rec_all: 0.0620 (0.0627) loss_rec_sfr: 0.0882 (0.0910) loss_cl: -0.3675 (-0.3672) time: 0.8652 data: 0.0002 max mem: 29859 [11:02:25.916361] Epoch: [154] [720/850] eta: 0:01:53 lr: 0.002267 loss: 0.0251 (0.0265) loss_rec_all: 0.0612 (0.0626) loss_rec_sfr: 0.0864 (0.0910) loss_cl: -0.3678 (-0.3672) time: 0.8653 data: 0.0002 max mem: 29859 [11:02:43.138802] Epoch: [154] [740/850] eta: 0:01:35 lr: 0.002267 loss: 0.0255 (0.0265) loss_rec_all: 0.0617 (0.0626) loss_rec_sfr: 0.0688 (0.0910) loss_cl: -0.3679 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [11:03:00.388297] Epoch: [154] [760/850] eta: 0:01:18 lr: 0.002267 loss: 0.0263 (0.0265) loss_rec_all: 0.0622 (0.0626) loss_rec_sfr: 0.0887 (0.0909) loss_cl: -0.3673 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [11:03:17.678775] Epoch: [154] [780/850] eta: 0:01:00 lr: 0.002267 loss: 0.0276 (0.0266) loss_rec_all: 0.0635 (0.0626) loss_rec_sfr: 0.0929 (0.0911) loss_cl: -0.3668 (-0.3672) time: 0.8645 data: 0.0003 max mem: 29859 [11:03:35.076070] Epoch: [154] [800/850] eta: 0:00:43 lr: 0.002267 loss: 0.0270 (0.0266) loss_rec_all: 0.0628 (0.0627) loss_rec_sfr: 0.0926 (0.0912) loss_cl: -0.3675 (-0.3672) time: 0.8698 data: 0.0002 max mem: 29859 [11:03:52.283942] Epoch: [154] [820/850] eta: 0:00:26 lr: 0.002267 loss: 0.0272 (0.0266) loss_rec_all: 0.0630 (0.0627) loss_rec_sfr: 0.0916 (0.0913) loss_cl: -0.3674 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [11:04:09.581403] Epoch: [154] [840/850] eta: 0:00:08 lr: 0.002267 loss: 0.0258 (0.0266) loss_rec_all: 0.0621 (0.0627) loss_rec_sfr: 0.0919 (0.0915) loss_cl: -0.3675 (-0.3672) time: 0.8648 data: 0.0005 max mem: 29859 [11:04:17.365511] Epoch: [154] [849/850] eta: 0:00:00 lr: 0.002267 loss: 0.0254 (0.0266) loss_rec_all: 0.0612 (0.0627) loss_rec_sfr: 0.0817 (0.0915) loss_cl: -0.3677 (-0.3672) time: 0.8664 data: 0.0005 max mem: 29859 [11:04:17.563333] Epoch: [154] Total time: 0:12:19 (0.8702 s / it) [11:04:17.571113] Averaged stats: lr: 0.002267 loss: 0.0254 (0.0265) loss_rec_all: 0.0612 (0.0626) loss_rec_sfr: 0.0817 (0.0912) loss_cl: -0.3677 (-0.3672) [11:04:17.584577] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [11:04:22.510513] Epoch: [155] [ 0/850] eta: 1:09:46 lr: 0.002267 loss: 0.0236 (0.0236) loss_rec_all: 0.0599 (0.0599) loss_rec_sfr: 0.0560 (0.0560) loss_cl: -0.3669 (-0.3669) time: 4.9251 data: 3.6690 max mem: 29859 [11:04:39.750243] Epoch: [155] [ 20/850] eta: 0:14:35 lr: 0.002267 loss: 0.0240 (0.0256) loss_rec_all: 0.0602 (0.0617) loss_rec_sfr: 0.0826 (0.0894) loss_cl: -0.3675 (-0.3675) time: 0.8619 data: 0.0003 max mem: 29859 [11:04:57.001797] Epoch: [155] [ 40/850] eta: 0:12:58 lr: 0.002267 loss: 0.0244 (0.0256) loss_rec_all: 0.0608 (0.0617) loss_rec_sfr: 0.0889 (0.0899) loss_cl: -0.3672 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [11:05:14.281119] Epoch: [155] [ 60/850] eta: 0:12:14 lr: 0.002267 loss: 0.0272 (0.0266) loss_rec_all: 0.0631 (0.0627) loss_rec_sfr: 0.0947 (0.0913) loss_cl: -0.3669 (-0.3672) time: 0.8639 data: 0.0003 max mem: 29859 [11:05:31.729393] Epoch: [155] [ 80/850] eta: 0:11:44 lr: 0.002267 loss: 0.0267 (0.0267) loss_rec_all: 0.0628 (0.0628) loss_rec_sfr: 0.1137 (0.0958) loss_cl: -0.3670 (-0.3672) time: 0.8723 data: 0.0003 max mem: 29859 [11:05:48.958781] Epoch: [155] [100/850] eta: 0:11:18 lr: 0.002267 loss: 0.0234 (0.0264) loss_rec_all: 0.0597 (0.0624) loss_rec_sfr: 0.0673 (0.0944) loss_cl: -0.3675 (-0.3672) time: 0.8614 data: 0.0002 max mem: 29859 [11:06:06.243046] Epoch: [155] [120/850] eta: 0:10:55 lr: 0.002267 loss: 0.0262 (0.0264) loss_rec_all: 0.0623 (0.0624) loss_rec_sfr: 0.0874 (0.0950) loss_cl: -0.3678 (-0.3673) time: 0.8641 data: 0.0003 max mem: 29859 [11:06:23.472973] Epoch: [155] [140/850] eta: 0:10:33 lr: 0.002267 loss: 0.0245 (0.0262) loss_rec_all: 0.0608 (0.0622) loss_rec_sfr: 0.0942 (0.0951) loss_cl: -0.3676 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [11:06:40.807639] Epoch: [155] [160/850] eta: 0:10:13 lr: 0.002267 loss: 0.0236 (0.0260) loss_rec_all: 0.0598 (0.0620) loss_rec_sfr: 0.0673 (0.0931) loss_cl: -0.3681 (-0.3674) time: 0.8667 data: 0.0002 max mem: 29859 [11:06:58.055683] Epoch: [155] [180/850] eta: 0:09:53 lr: 0.002266 loss: 0.0234 (0.0257) loss_rec_all: 0.0597 (0.0618) loss_rec_sfr: 0.0619 (0.0916) loss_cl: -0.3679 (-0.3675) time: 0.8623 data: 0.0003 max mem: 29859 [11:07:15.439444] Epoch: [155] [200/850] eta: 0:09:35 lr: 0.002266 loss: 0.0240 (0.0256) loss_rec_all: 0.0601 (0.0617) loss_rec_sfr: 0.0703 (0.0909) loss_cl: -0.3673 (-0.3674) time: 0.8691 data: 0.0003 max mem: 29859 [11:07:32.649535] Epoch: [155] [220/850] eta: 0:09:16 lr: 0.002266 loss: 0.0243 (0.0255) loss_rec_all: 0.0606 (0.0616) loss_rec_sfr: 0.0680 (0.0908) loss_cl: -0.3667 (-0.3674) time: 0.8605 data: 0.0002 max mem: 29859 [11:07:49.983144] Epoch: [155] [240/850] eta: 0:08:57 lr: 0.002266 loss: 0.0250 (0.0256) loss_rec_all: 0.0611 (0.0617) loss_rec_sfr: 0.0971 (0.0912) loss_cl: -0.3667 (-0.3673) time: 0.8666 data: 0.0003 max mem: 29859 [11:08:07.308928] Epoch: [155] [260/850] eta: 0:08:39 lr: 0.002266 loss: 0.0259 (0.0256) loss_rec_all: 0.0617 (0.0617) loss_rec_sfr: 0.0992 (0.0914) loss_cl: -0.3669 (-0.3673) time: 0.8662 data: 0.0003 max mem: 29859 [11:08:24.671470] Epoch: [155] [280/850] eta: 0:08:21 lr: 0.002266 loss: 0.0259 (0.0257) loss_rec_all: 0.0618 (0.0618) loss_rec_sfr: 0.0703 (0.0910) loss_cl: -0.3664 (-0.3672) time: 0.8681 data: 0.0002 max mem: 29859 [11:08:41.901094] Epoch: [155] [300/850] eta: 0:08:02 lr: 0.002266 loss: 0.0267 (0.0259) loss_rec_all: 0.0625 (0.0620) loss_rec_sfr: 0.0713 (0.0909) loss_cl: -0.3670 (-0.3672) time: 0.8614 data: 0.0002 max mem: 29859 [11:08:59.142841] Epoch: [155] [320/850] eta: 0:07:44 lr: 0.002266 loss: 0.0285 (0.0262) loss_rec_all: 0.0643 (0.0622) loss_rec_sfr: 0.0975 (0.0914) loss_cl: -0.3677 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [11:09:16.417776] Epoch: [155] [340/850] eta: 0:07:26 lr: 0.002266 loss: 0.0291 (0.0263) loss_rec_all: 0.0653 (0.0624) loss_rec_sfr: 0.1314 (0.0927) loss_cl: -0.3680 (-0.3673) time: 0.8636 data: 0.0003 max mem: 29859 [11:09:33.715764] Epoch: [155] [360/850] eta: 0:07:09 lr: 0.002266 loss: 0.0283 (0.0265) loss_rec_all: 0.0644 (0.0626) loss_rec_sfr: 0.1025 (0.0937) loss_cl: -0.3678 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [11:09:50.956501] Epoch: [155] [380/850] eta: 0:06:51 lr: 0.002266 loss: 0.0273 (0.0266) loss_rec_all: 0.0633 (0.0627) loss_rec_sfr: 0.0815 (0.0941) loss_cl: -0.3670 (-0.3673) time: 0.8619 data: 0.0003 max mem: 29859 [11:10:08.267729] Epoch: [155] [400/850] eta: 0:06:33 lr: 0.002266 loss: 0.0275 (0.0267) loss_rec_all: 0.0635 (0.0627) loss_rec_sfr: 0.0806 (0.0942) loss_cl: -0.3670 (-0.3672) time: 0.8655 data: 0.0003 max mem: 29859 [11:10:25.528681] Epoch: [155] [420/850] eta: 0:06:15 lr: 0.002266 loss: 0.0277 (0.0267) loss_rec_all: 0.0635 (0.0628) loss_rec_sfr: 0.0875 (0.0942) loss_cl: -0.3674 (-0.3672) time: 0.8630 data: 0.0003 max mem: 29859 [11:10:42.827044] Epoch: [155] [440/850] eta: 0:05:58 lr: 0.002266 loss: 0.0252 (0.0267) loss_rec_all: 0.0614 (0.0628) loss_rec_sfr: 0.0735 (0.0939) loss_cl: -0.3679 (-0.3673) time: 0.8649 data: 0.0003 max mem: 29859 [11:11:00.146227] Epoch: [155] [460/850] eta: 0:05:40 lr: 0.002266 loss: 0.0259 (0.0267) loss_rec_all: 0.0620 (0.0627) loss_rec_sfr: 0.1058 (0.0942) loss_cl: -0.3681 (-0.3673) time: 0.8659 data: 0.0003 max mem: 29859 [11:11:17.466653] Epoch: [155] [480/850] eta: 0:05:22 lr: 0.002266 loss: 0.0236 (0.0266) loss_rec_all: 0.0599 (0.0626) loss_rec_sfr: 0.0703 (0.0938) loss_cl: -0.3673 (-0.3673) time: 0.8660 data: 0.0002 max mem: 29859 [11:11:34.701157] Epoch: [155] [500/850] eta: 0:05:05 lr: 0.002266 loss: 0.0233 (0.0265) loss_rec_all: 0.0595 (0.0626) loss_rec_sfr: 0.0888 (0.0935) loss_cl: -0.3667 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [11:11:52.057342] Epoch: [155] [520/850] eta: 0:04:47 lr: 0.002266 loss: 0.0237 (0.0264) loss_rec_all: 0.0599 (0.0625) loss_rec_sfr: 0.0697 (0.0931) loss_cl: -0.3666 (-0.3672) time: 0.8677 data: 0.0003 max mem: 29859 [11:12:09.361522] Epoch: [155] [540/850] eta: 0:04:30 lr: 0.002266 loss: 0.0274 (0.0265) loss_rec_all: 0.0632 (0.0626) loss_rec_sfr: 0.1016 (0.0934) loss_cl: -0.3670 (-0.3672) time: 0.8652 data: 0.0002 max mem: 29859 [11:12:26.639769] Epoch: [155] [560/850] eta: 0:04:12 lr: 0.002265 loss: 0.0275 (0.0266) loss_rec_all: 0.0637 (0.0627) loss_rec_sfr: 0.1029 (0.0935) loss_cl: -0.3673 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [11:12:43.880507] Epoch: [155] [580/850] eta: 0:03:55 lr: 0.002265 loss: 0.0310 (0.0268) loss_rec_all: 0.0670 (0.0629) loss_rec_sfr: 0.1022 (0.0938) loss_cl: -0.3671 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [11:13:01.380027] Epoch: [155] [600/850] eta: 0:03:37 lr: 0.002265 loss: 0.0286 (0.0269) loss_rec_all: 0.0646 (0.0630) loss_rec_sfr: 0.0976 (0.0938) loss_cl: -0.3672 (-0.3672) time: 0.8749 data: 0.0003 max mem: 29859 [11:13:18.588669] Epoch: [155] [620/850] eta: 0:03:20 lr: 0.002265 loss: 0.0283 (0.0270) loss_rec_all: 0.0642 (0.0631) loss_rec_sfr: 0.0804 (0.0938) loss_cl: -0.3674 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [11:13:35.843137] Epoch: [155] [640/850] eta: 0:03:02 lr: 0.002265 loss: 0.0275 (0.0270) loss_rec_all: 0.0635 (0.0631) loss_rec_sfr: 0.0743 (0.0937) loss_cl: -0.3674 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [11:13:53.187649] Epoch: [155] [660/850] eta: 0:02:45 lr: 0.002265 loss: 0.0283 (0.0271) loss_rec_all: 0.0644 (0.0632) loss_rec_sfr: 0.0973 (0.0937) loss_cl: -0.3672 (-0.3672) time: 0.8672 data: 0.0004 max mem: 29859 [11:14:10.487660] Epoch: [155] [680/850] eta: 0:02:27 lr: 0.002265 loss: 0.0262 (0.0271) loss_rec_all: 0.0623 (0.0632) loss_rec_sfr: 0.0936 (0.0937) loss_cl: -0.3677 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [11:14:27.735753] Epoch: [155] [700/850] eta: 0:02:10 lr: 0.002265 loss: 0.0247 (0.0271) loss_rec_all: 0.0608 (0.0632) loss_rec_sfr: 0.0643 (0.0935) loss_cl: -0.3675 (-0.3673) time: 0.8623 data: 0.0003 max mem: 29859 [11:14:45.007512] Epoch: [155] [720/850] eta: 0:01:53 lr: 0.002265 loss: 0.0256 (0.0271) loss_rec_all: 0.0617 (0.0632) loss_rec_sfr: 0.0712 (0.0933) loss_cl: -0.3672 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [11:15:02.308332] Epoch: [155] [740/850] eta: 0:01:35 lr: 0.002265 loss: 0.0249 (0.0270) loss_rec_all: 0.0611 (0.0631) loss_rec_sfr: 0.0674 (0.0932) loss_cl: -0.3669 (-0.3672) time: 0.8650 data: 0.0003 max mem: 29859 [11:15:19.736571] Epoch: [155] [760/850] eta: 0:01:18 lr: 0.002265 loss: 0.0243 (0.0270) loss_rec_all: 0.0604 (0.0630) loss_rec_sfr: 0.0712 (0.0931) loss_cl: -0.3672 (-0.3672) time: 0.8713 data: 0.0002 max mem: 29859 [11:15:37.153187] Epoch: [155] [780/850] eta: 0:01:00 lr: 0.002265 loss: 0.0246 (0.0269) loss_rec_all: 0.0607 (0.0630) loss_rec_sfr: 0.0700 (0.0931) loss_cl: -0.3679 (-0.3673) time: 0.8708 data: 0.0003 max mem: 29859 [11:15:54.596771] Epoch: [155] [800/850] eta: 0:00:43 lr: 0.002265 loss: 0.0249 (0.0269) loss_rec_all: 0.0611 (0.0630) loss_rec_sfr: 0.0760 (0.0929) loss_cl: -0.3677 (-0.3673) time: 0.8721 data: 0.0004 max mem: 29859 [11:16:11.830472] Epoch: [155] [820/850] eta: 0:00:26 lr: 0.002265 loss: 0.0252 (0.0269) loss_rec_all: 0.0613 (0.0629) loss_rec_sfr: 0.0899 (0.0930) loss_cl: -0.3675 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [11:16:29.122391] Epoch: [155] [840/850] eta: 0:00:08 lr: 0.002265 loss: 0.0242 (0.0268) loss_rec_all: 0.0602 (0.0629) loss_rec_sfr: 0.0867 (0.0929) loss_cl: -0.3668 (-0.3673) time: 0.8645 data: 0.0006 max mem: 29859 [11:16:36.878347] Epoch: [155] [849/850] eta: 0:00:00 lr: 0.002265 loss: 0.0234 (0.0268) loss_rec_all: 0.0596 (0.0629) loss_rec_sfr: 0.0684 (0.0927) loss_cl: -0.3666 (-0.3673) time: 0.8648 data: 0.0006 max mem: 29859 [11:16:37.085396] Epoch: [155] Total time: 0:12:19 (0.8700 s / it) [11:16:37.089192] Averaged stats: lr: 0.002265 loss: 0.0234 (0.0267) loss_rec_all: 0.0596 (0.0628) loss_rec_sfr: 0.0684 (0.0912) loss_cl: -0.3666 (-0.3672) [11:16:37.107160] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [11:16:41.896607] Epoch: [156] [ 0/850] eta: 1:07:50 lr: 0.002265 loss: 0.0254 (0.0254) loss_rec_all: 0.0612 (0.0612) loss_rec_sfr: 0.1274 (0.1274) loss_cl: -0.3675 (-0.3675) time: 4.7883 data: 3.9360 max mem: 29859 [11:16:59.068390] Epoch: [156] [ 20/850] eta: 0:14:27 lr: 0.002265 loss: 0.0244 (0.0247) loss_rec_all: 0.0603 (0.0607) loss_rec_sfr: 0.0699 (0.0896) loss_cl: -0.3667 (-0.3666) time: 0.8585 data: 0.0002 max mem: 29859 [11:17:16.314692] Epoch: [156] [ 40/850] eta: 0:12:54 lr: 0.002265 loss: 0.0276 (0.0264) loss_rec_all: 0.0634 (0.0624) loss_rec_sfr: 0.0970 (0.0925) loss_cl: -0.3668 (-0.3667) time: 0.8623 data: 0.0002 max mem: 29859 [11:17:33.558591] Epoch: [156] [ 60/850] eta: 0:12:11 lr: 0.002265 loss: 0.0253 (0.0265) loss_rec_all: 0.0615 (0.0626) loss_rec_sfr: 0.0677 (0.0889) loss_cl: -0.3673 (-0.3669) time: 0.8621 data: 0.0002 max mem: 29859 [11:17:50.894499] Epoch: [156] [ 80/850] eta: 0:11:41 lr: 0.002264 loss: 0.0238 (0.0260) loss_rec_all: 0.0602 (0.0621) loss_rec_sfr: 0.0635 (0.0869) loss_cl: -0.3677 (-0.3671) time: 0.8667 data: 0.0004 max mem: 29859 [11:18:08.103193] Epoch: [156] [100/850] eta: 0:11:15 lr: 0.002264 loss: 0.0250 (0.0260) loss_rec_all: 0.0613 (0.0621) loss_rec_sfr: 0.0922 (0.0876) loss_cl: -0.3684 (-0.3673) time: 0.8604 data: 0.0002 max mem: 29859 [11:18:25.391318] Epoch: [156] [120/850] eta: 0:10:53 lr: 0.002264 loss: 0.0248 (0.0259) loss_rec_all: 0.0611 (0.0621) loss_rec_sfr: 0.0713 (0.0861) loss_cl: -0.3675 (-0.3673) time: 0.8644 data: 0.0003 max mem: 29859 [11:18:42.727394] Epoch: [156] [140/850] eta: 0:10:32 lr: 0.002264 loss: 0.0268 (0.0260) loss_rec_all: 0.0626 (0.0621) loss_rec_sfr: 0.0923 (0.0883) loss_cl: -0.3668 (-0.3672) time: 0.8667 data: 0.0003 max mem: 29859 [11:19:00.034891] Epoch: [156] [160/850] eta: 0:10:12 lr: 0.002264 loss: 0.0257 (0.0260) loss_rec_all: 0.0618 (0.0621) loss_rec_sfr: 0.0929 (0.0892) loss_cl: -0.3665 (-0.3671) time: 0.8652 data: 0.0003 max mem: 29859 [11:19:17.257534] Epoch: [156] [180/850] eta: 0:09:52 lr: 0.002264 loss: 0.0231 (0.0258) loss_rec_all: 0.0592 (0.0619) loss_rec_sfr: 0.0633 (0.0881) loss_cl: -0.3665 (-0.3670) time: 0.8611 data: 0.0002 max mem: 29859 [11:19:34.579947] Epoch: [156] [200/850] eta: 0:09:33 lr: 0.002264 loss: 0.0271 (0.0260) loss_rec_all: 0.0631 (0.0620) loss_rec_sfr: 0.0945 (0.0897) loss_cl: -0.3668 (-0.3670) time: 0.8661 data: 0.0003 max mem: 29859 [11:19:51.826861] Epoch: [156] [220/850] eta: 0:09:15 lr: 0.002264 loss: 0.0253 (0.0260) loss_rec_all: 0.0615 (0.0621) loss_rec_sfr: 0.0746 (0.0891) loss_cl: -0.3674 (-0.3671) time: 0.8623 data: 0.0003 max mem: 29859 [11:20:09.107736] Epoch: [156] [240/850] eta: 0:08:56 lr: 0.002264 loss: 0.0261 (0.0260) loss_rec_all: 0.0623 (0.0621) loss_rec_sfr: 0.0922 (0.0894) loss_cl: -0.3678 (-0.3671) time: 0.8640 data: 0.0002 max mem: 29859 [11:20:26.367452] Epoch: [156] [260/850] eta: 0:08:38 lr: 0.002264 loss: 0.0265 (0.0261) loss_rec_all: 0.0627 (0.0622) loss_rec_sfr: 0.0943 (0.0896) loss_cl: -0.3678 (-0.3671) time: 0.8629 data: 0.0003 max mem: 29859 [11:20:43.687108] Epoch: [156] [280/850] eta: 0:08:20 lr: 0.002264 loss: 0.0257 (0.0261) loss_rec_all: 0.0619 (0.0622) loss_rec_sfr: 0.0807 (0.0896) loss_cl: -0.3677 (-0.3672) time: 0.8659 data: 0.0004 max mem: 29859 [11:21:00.931119] Epoch: [156] [300/850] eta: 0:08:02 lr: 0.002264 loss: 0.0254 (0.0260) loss_rec_all: 0.0616 (0.0621) loss_rec_sfr: 0.0721 (0.0894) loss_cl: -0.3680 (-0.3672) time: 0.8621 data: 0.0003 max mem: 29859 [11:21:18.235179] Epoch: [156] [320/850] eta: 0:07:44 lr: 0.002264 loss: 0.0274 (0.0262) loss_rec_all: 0.0634 (0.0623) loss_rec_sfr: 0.0737 (0.0896) loss_cl: -0.3681 (-0.3673) time: 0.8651 data: 0.0003 max mem: 29859 [11:21:35.537641] Epoch: [156] [340/850] eta: 0:07:26 lr: 0.002264 loss: 0.0269 (0.0262) loss_rec_all: 0.0632 (0.0623) loss_rec_sfr: 0.0826 (0.0897) loss_cl: -0.3678 (-0.3673) time: 0.8651 data: 0.0003 max mem: 29859 [11:21:52.812766] Epoch: [156] [360/850] eta: 0:07:08 lr: 0.002264 loss: 0.0276 (0.0264) loss_rec_all: 0.0639 (0.0625) loss_rec_sfr: 0.0991 (0.0904) loss_cl: -0.3679 (-0.3673) time: 0.8637 data: 0.0003 max mem: 29859 [11:22:10.044934] Epoch: [156] [380/850] eta: 0:06:50 lr: 0.002264 loss: 0.0259 (0.0264) loss_rec_all: 0.0620 (0.0625) loss_rec_sfr: 0.0888 (0.0904) loss_cl: -0.3675 (-0.3674) time: 0.8615 data: 0.0002 max mem: 29859 [11:22:27.444668] Epoch: [156] [400/850] eta: 0:06:33 lr: 0.002264 loss: 0.0266 (0.0265) loss_rec_all: 0.0627 (0.0626) loss_rec_sfr: 0.0928 (0.0904) loss_cl: -0.3666 (-0.3673) time: 0.8699 data: 0.0003 max mem: 29859 [11:22:44.775840] Epoch: [156] [420/850] eta: 0:06:15 lr: 0.002264 loss: 0.0251 (0.0265) loss_rec_all: 0.0611 (0.0626) loss_rec_sfr: 0.0912 (0.0903) loss_cl: -0.3664 (-0.3673) time: 0.8665 data: 0.0003 max mem: 29859 [11:23:02.079679] Epoch: [156] [440/850] eta: 0:05:57 lr: 0.002263 loss: 0.0259 (0.0265) loss_rec_all: 0.0617 (0.0626) loss_rec_sfr: 0.0757 (0.0902) loss_cl: -0.3660 (-0.3672) time: 0.8651 data: 0.0002 max mem: 29859 [11:23:19.304588] Epoch: [156] [460/850] eta: 0:05:40 lr: 0.002263 loss: 0.0235 (0.0264) loss_rec_all: 0.0597 (0.0625) loss_rec_sfr: 0.0640 (0.0898) loss_cl: -0.3672 (-0.3672) time: 0.8612 data: 0.0003 max mem: 29859 [11:23:36.785164] Epoch: [156] [480/850] eta: 0:05:22 lr: 0.002263 loss: 0.0246 (0.0263) loss_rec_all: 0.0606 (0.0624) loss_rec_sfr: 0.0905 (0.0897) loss_cl: -0.3678 (-0.3672) time: 0.8740 data: 0.0003 max mem: 29859 [11:23:53.998100] Epoch: [156] [500/850] eta: 0:05:05 lr: 0.002263 loss: 0.0235 (0.0263) loss_rec_all: 0.0601 (0.0624) loss_rec_sfr: 0.0644 (0.0891) loss_cl: -0.3688 (-0.3673) time: 0.8606 data: 0.0002 max mem: 29859 [11:24:11.273220] Epoch: [156] [520/850] eta: 0:04:47 lr: 0.002263 loss: 0.0236 (0.0262) loss_rec_all: 0.0601 (0.0623) loss_rec_sfr: 0.0873 (0.0890) loss_cl: -0.3687 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [11:24:28.526282] Epoch: [156] [540/850] eta: 0:04:30 lr: 0.002263 loss: 0.0243 (0.0261) loss_rec_all: 0.0605 (0.0622) loss_rec_sfr: 0.1063 (0.0893) loss_cl: -0.3680 (-0.3674) time: 0.8626 data: 0.0003 max mem: 29859 [11:24:45.920698] Epoch: [156] [560/850] eta: 0:04:12 lr: 0.002263 loss: 0.0244 (0.0261) loss_rec_all: 0.0603 (0.0622) loss_rec_sfr: 0.0906 (0.0894) loss_cl: -0.3662 (-0.3673) time: 0.8696 data: 0.0003 max mem: 29859 [11:25:03.203641] Epoch: [156] [580/850] eta: 0:03:55 lr: 0.002263 loss: 0.0250 (0.0261) loss_rec_all: 0.0612 (0.0622) loss_rec_sfr: 0.0713 (0.0894) loss_cl: -0.3657 (-0.3673) time: 0.8641 data: 0.0003 max mem: 29859 [11:25:20.482718] Epoch: [156] [600/850] eta: 0:03:37 lr: 0.002263 loss: 0.0251 (0.0261) loss_rec_all: 0.0611 (0.0622) loss_rec_sfr: 0.0945 (0.0895) loss_cl: -0.3660 (-0.3672) time: 0.8639 data: 0.0003 max mem: 29859 [11:25:37.786252] Epoch: [156] [620/850] eta: 0:03:20 lr: 0.002263 loss: 0.0272 (0.0261) loss_rec_all: 0.0632 (0.0622) loss_rec_sfr: 0.0750 (0.0893) loss_cl: -0.3673 (-0.3672) time: 0.8651 data: 0.0002 max mem: 29859 [11:25:55.047402] Epoch: [156] [640/850] eta: 0:03:02 lr: 0.002263 loss: 0.0272 (0.0262) loss_rec_all: 0.0635 (0.0623) loss_rec_sfr: 0.0774 (0.0896) loss_cl: -0.3679 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [11:26:12.320392] Epoch: [156] [660/850] eta: 0:02:45 lr: 0.002263 loss: 0.0273 (0.0263) loss_rec_all: 0.0636 (0.0624) loss_rec_sfr: 0.0669 (0.0894) loss_cl: -0.3677 (-0.3673) time: 0.8636 data: 0.0003 max mem: 29859 [11:26:29.781673] Epoch: [156] [680/850] eta: 0:02:27 lr: 0.002263 loss: 0.0272 (0.0264) loss_rec_all: 0.0634 (0.0625) loss_rec_sfr: 0.0805 (0.0895) loss_cl: -0.3675 (-0.3673) time: 0.8730 data: 0.0004 max mem: 29859 [11:26:47.051330] Epoch: [156] [700/850] eta: 0:02:10 lr: 0.002263 loss: 0.0263 (0.0264) loss_rec_all: 0.0625 (0.0625) loss_rec_sfr: 0.0744 (0.0896) loss_cl: -0.3673 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [11:27:04.305518] Epoch: [156] [720/850] eta: 0:01:53 lr: 0.002263 loss: 0.0259 (0.0264) loss_rec_all: 0.0622 (0.0625) loss_rec_sfr: 0.0952 (0.0897) loss_cl: -0.3672 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [11:27:21.552963] Epoch: [156] [740/850] eta: 0:01:35 lr: 0.002263 loss: 0.0255 (0.0264) loss_rec_all: 0.0617 (0.0625) loss_rec_sfr: 0.0702 (0.0895) loss_cl: -0.3670 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [11:27:38.892821] Epoch: [156] [760/850] eta: 0:01:18 lr: 0.002263 loss: 0.0251 (0.0264) loss_rec_all: 0.0611 (0.0625) loss_rec_sfr: 0.0713 (0.0894) loss_cl: -0.3669 (-0.3672) time: 0.8669 data: 0.0003 max mem: 29859 [11:27:56.108113] Epoch: [156] [780/850] eta: 0:01:00 lr: 0.002263 loss: 0.0239 (0.0264) loss_rec_all: 0.0600 (0.0625) loss_rec_sfr: 0.0682 (0.0892) loss_cl: -0.3671 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [11:28:13.401594] Epoch: [156] [800/850] eta: 0:00:43 lr: 0.002263 loss: 0.0244 (0.0264) loss_rec_all: 0.0607 (0.0625) loss_rec_sfr: 0.0690 (0.0889) loss_cl: -0.3675 (-0.3672) time: 0.8646 data: 0.0002 max mem: 29859 [11:28:30.709977] Epoch: [156] [820/850] eta: 0:00:26 lr: 0.002262 loss: 0.0242 (0.0264) loss_rec_all: 0.0604 (0.0625) loss_rec_sfr: 0.0973 (0.0889) loss_cl: -0.3672 (-0.3672) time: 0.8654 data: 0.0003 max mem: 29859 [11:28:48.048637] Epoch: [156] [840/850] eta: 0:00:08 lr: 0.002262 loss: 0.0247 (0.0263) loss_rec_all: 0.0606 (0.0624) loss_rec_sfr: 0.0894 (0.0890) loss_cl: -0.3670 (-0.3672) time: 0.8669 data: 0.0007 max mem: 29859 [11:28:55.795693] Epoch: [156] [849/850] eta: 0:00:00 lr: 0.002262 loss: 0.0244 (0.0263) loss_rec_all: 0.0605 (0.0624) loss_rec_sfr: 0.0740 (0.0889) loss_cl: -0.3670 (-0.3672) time: 0.8650 data: 0.0006 max mem: 29859 [11:28:55.962391] Epoch: [156] Total time: 0:12:18 (0.8692 s / it) [11:28:55.974163] Averaged stats: lr: 0.002262 loss: 0.0244 (0.0263) loss_rec_all: 0.0605 (0.0624) loss_rec_sfr: 0.0740 (0.0893) loss_cl: -0.3670 (-0.3672) [11:28:55.984040] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [11:29:00.548156] Epoch: [157] [ 0/850] eta: 1:04:38 lr: 0.002262 loss: 0.0256 (0.0256) loss_rec_all: 0.0617 (0.0617) loss_rec_sfr: 0.0677 (0.0677) loss_cl: -0.3656 (-0.3656) time: 4.5633 data: 3.7093 max mem: 29859 [11:29:17.781372] Epoch: [157] [ 20/850] eta: 0:14:21 lr: 0.002262 loss: 0.0232 (0.0242) loss_rec_all: 0.0595 (0.0604) loss_rec_sfr: 0.0699 (0.0825) loss_cl: -0.3674 (-0.3672) time: 0.8615 data: 0.0003 max mem: 29859 [11:29:35.113028] Epoch: [157] [ 40/850] eta: 0:12:52 lr: 0.002262 loss: 0.0232 (0.0244) loss_rec_all: 0.0595 (0.0605) loss_rec_sfr: 0.0705 (0.0842) loss_cl: -0.3672 (-0.3672) time: 0.8665 data: 0.0003 max mem: 29859 [11:29:52.347102] Epoch: [157] [ 60/850] eta: 0:12:09 lr: 0.002262 loss: 0.0256 (0.0249) loss_rec_all: 0.0616 (0.0611) loss_rec_sfr: 0.0750 (0.0867) loss_cl: -0.3675 (-0.3672) time: 0.8615 data: 0.0003 max mem: 29859 [11:30:09.660096] Epoch: [157] [ 80/850] eta: 0:11:40 lr: 0.002262 loss: 0.0251 (0.0250) loss_rec_all: 0.0613 (0.0612) loss_rec_sfr: 0.0724 (0.0873) loss_cl: -0.3676 (-0.3673) time: 0.8655 data: 0.0004 max mem: 29859 [11:30:27.046312] Epoch: [157] [100/850] eta: 0:11:16 lr: 0.002262 loss: 0.0239 (0.0250) loss_rec_all: 0.0602 (0.0611) loss_rec_sfr: 0.0731 (0.0873) loss_cl: -0.3678 (-0.3674) time: 0.8692 data: 0.0003 max mem: 29859 [11:30:44.324686] Epoch: [157] [120/850] eta: 0:10:53 lr: 0.002262 loss: 0.0253 (0.0252) loss_rec_all: 0.0612 (0.0613) loss_rec_sfr: 0.0736 (0.0879) loss_cl: -0.3679 (-0.3674) time: 0.8639 data: 0.0003 max mem: 29859 [11:31:01.536739] Epoch: [157] [140/850] eta: 0:10:32 lr: 0.002262 loss: 0.0245 (0.0252) loss_rec_all: 0.0606 (0.0613) loss_rec_sfr: 0.0731 (0.0882) loss_cl: -0.3677 (-0.3675) time: 0.8605 data: 0.0003 max mem: 29859 [11:31:18.843137] Epoch: [157] [160/850] eta: 0:10:12 lr: 0.002262 loss: 0.0239 (0.0252) loss_rec_all: 0.0599 (0.0613) loss_rec_sfr: 0.0938 (0.0888) loss_cl: -0.3671 (-0.3674) time: 0.8653 data: 0.0003 max mem: 29859 [11:31:36.079219] Epoch: [157] [180/850] eta: 0:09:52 lr: 0.002262 loss: 0.0249 (0.0252) loss_rec_all: 0.0609 (0.0613) loss_rec_sfr: 0.0704 (0.0887) loss_cl: -0.3667 (-0.3674) time: 0.8618 data: 0.0003 max mem: 29859 [11:31:53.322873] Epoch: [157] [200/850] eta: 0:09:33 lr: 0.002262 loss: 0.0255 (0.0254) loss_rec_all: 0.0615 (0.0615) loss_rec_sfr: 0.0939 (0.0893) loss_cl: -0.3665 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [11:32:10.532309] Epoch: [157] [220/850] eta: 0:09:14 lr: 0.002262 loss: 0.0271 (0.0256) loss_rec_all: 0.0632 (0.0617) loss_rec_sfr: 0.0992 (0.0900) loss_cl: -0.3673 (-0.3673) time: 0.8604 data: 0.0002 max mem: 29859 [11:32:27.875518] Epoch: [157] [240/850] eta: 0:08:56 lr: 0.002262 loss: 0.0246 (0.0256) loss_rec_all: 0.0610 (0.0617) loss_rec_sfr: 0.0628 (0.0892) loss_cl: -0.3679 (-0.3673) time: 0.8671 data: 0.0002 max mem: 29859 [11:32:45.079073] Epoch: [157] [260/850] eta: 0:08:37 lr: 0.002262 loss: 0.0240 (0.0256) loss_rec_all: 0.0602 (0.0617) loss_rec_sfr: 0.0689 (0.0889) loss_cl: -0.3674 (-0.3673) time: 0.8601 data: 0.0001 max mem: 29859 [11:33:02.332597] Epoch: [157] [280/850] eta: 0:08:19 lr: 0.002262 loss: 0.0249 (0.0256) loss_rec_all: 0.0609 (0.0617) loss_rec_sfr: 0.0742 (0.0888) loss_cl: -0.3669 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [11:33:19.566655] Epoch: [157] [300/850] eta: 0:08:01 lr: 0.002262 loss: 0.0240 (0.0255) loss_rec_all: 0.0603 (0.0616) loss_rec_sfr: 0.0611 (0.0886) loss_cl: -0.3672 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [11:33:36.832211] Epoch: [157] [320/850] eta: 0:07:43 lr: 0.002262 loss: 0.0248 (0.0255) loss_rec_all: 0.0608 (0.0616) loss_rec_sfr: 0.0927 (0.0889) loss_cl: -0.3675 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [11:33:54.041492] Epoch: [157] [340/850] eta: 0:07:25 lr: 0.002261 loss: 0.0259 (0.0256) loss_rec_all: 0.0617 (0.0617) loss_rec_sfr: 0.1032 (0.0896) loss_cl: -0.3676 (-0.3673) time: 0.8604 data: 0.0002 max mem: 29859 [11:34:11.282976] Epoch: [157] [360/850] eta: 0:07:07 lr: 0.002261 loss: 0.0273 (0.0257) loss_rec_all: 0.0632 (0.0618) loss_rec_sfr: 0.0915 (0.0897) loss_cl: -0.3677 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [11:34:28.526916] Epoch: [157] [380/850] eta: 0:06:50 lr: 0.002261 loss: 0.0255 (0.0257) loss_rec_all: 0.0611 (0.0618) loss_rec_sfr: 0.0973 (0.0901) loss_cl: -0.3673 (-0.3673) time: 0.8621 data: 0.0003 max mem: 29859 [11:34:45.782238] Epoch: [157] [400/850] eta: 0:06:32 lr: 0.002261 loss: 0.0234 (0.0257) loss_rec_all: 0.0596 (0.0618) loss_rec_sfr: 0.0698 (0.0897) loss_cl: -0.3670 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [11:35:02.987913] Epoch: [157] [420/850] eta: 0:06:14 lr: 0.002261 loss: 0.0243 (0.0256) loss_rec_all: 0.0604 (0.0617) loss_rec_sfr: 0.0706 (0.0893) loss_cl: -0.3669 (-0.3673) time: 0.8602 data: 0.0002 max mem: 29859 [11:35:20.294474] Epoch: [157] [440/850] eta: 0:05:57 lr: 0.002261 loss: 0.0244 (0.0256) loss_rec_all: 0.0606 (0.0617) loss_rec_sfr: 0.0772 (0.0890) loss_cl: -0.3667 (-0.3673) time: 0.8653 data: 0.0003 max mem: 29859 [11:35:37.502112] Epoch: [157] [460/850] eta: 0:05:39 lr: 0.002261 loss: 0.0243 (0.0256) loss_rec_all: 0.0604 (0.0617) loss_rec_sfr: 0.0712 (0.0890) loss_cl: -0.3663 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [11:35:54.754699] Epoch: [157] [480/850] eta: 0:05:22 lr: 0.002261 loss: 0.0262 (0.0257) loss_rec_all: 0.0624 (0.0618) loss_rec_sfr: 0.0888 (0.0889) loss_cl: -0.3670 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [11:36:11.990717] Epoch: [157] [500/850] eta: 0:05:04 lr: 0.002261 loss: 0.0260 (0.0257) loss_rec_all: 0.0620 (0.0618) loss_rec_sfr: 0.0929 (0.0892) loss_cl: -0.3678 (-0.3672) time: 0.8617 data: 0.0003 max mem: 29859 [11:36:29.270925] Epoch: [157] [520/850] eta: 0:04:47 lr: 0.002261 loss: 0.0236 (0.0256) loss_rec_all: 0.0599 (0.0617) loss_rec_sfr: 0.0621 (0.0887) loss_cl: -0.3680 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [11:36:46.484270] Epoch: [157] [540/850] eta: 0:04:29 lr: 0.002261 loss: 0.0246 (0.0257) loss_rec_all: 0.0607 (0.0618) loss_rec_sfr: 0.0706 (0.0887) loss_cl: -0.3677 (-0.3673) time: 0.8606 data: 0.0003 max mem: 29859 [11:37:03.763345] Epoch: [157] [560/850] eta: 0:04:12 lr: 0.002261 loss: 0.0253 (0.0256) loss_rec_all: 0.0615 (0.0618) loss_rec_sfr: 0.0785 (0.0889) loss_cl: -0.3672 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [11:37:20.996650] Epoch: [157] [580/850] eta: 0:03:54 lr: 0.002261 loss: 0.0248 (0.0257) loss_rec_all: 0.0612 (0.0618) loss_rec_sfr: 0.0716 (0.0889) loss_cl: -0.3676 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [11:37:38.243445] Epoch: [157] [600/850] eta: 0:03:37 lr: 0.002261 loss: 0.0267 (0.0257) loss_rec_all: 0.0625 (0.0618) loss_rec_sfr: 0.0740 (0.0891) loss_cl: -0.3674 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [11:37:55.449763] Epoch: [157] [620/850] eta: 0:03:19 lr: 0.002261 loss: 0.0261 (0.0257) loss_rec_all: 0.0622 (0.0619) loss_rec_sfr: 0.0923 (0.0893) loss_cl: -0.3678 (-0.3673) time: 0.8603 data: 0.0002 max mem: 29859 [11:38:12.753906] Epoch: [157] [640/850] eta: 0:03:02 lr: 0.002261 loss: 0.0242 (0.0257) loss_rec_all: 0.0602 (0.0618) loss_rec_sfr: 0.0647 (0.0891) loss_cl: -0.3677 (-0.3673) time: 0.8652 data: 0.0002 max mem: 29859 [11:38:29.964035] Epoch: [157] [660/850] eta: 0:02:44 lr: 0.002261 loss: 0.0239 (0.0257) loss_rec_all: 0.0602 (0.0618) loss_rec_sfr: 0.0706 (0.0891) loss_cl: -0.3675 (-0.3673) time: 0.8605 data: 0.0002 max mem: 29859 [11:38:47.212668] Epoch: [157] [680/850] eta: 0:02:27 lr: 0.002261 loss: 0.0252 (0.0257) loss_rec_all: 0.0614 (0.0618) loss_rec_sfr: 0.0630 (0.0888) loss_cl: -0.3672 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [11:39:04.432023] Epoch: [157] [700/850] eta: 0:02:10 lr: 0.002260 loss: 0.0241 (0.0257) loss_rec_all: 0.0605 (0.0618) loss_rec_sfr: 0.0685 (0.0887) loss_cl: -0.3675 (-0.3673) time: 0.8609 data: 0.0003 max mem: 29859 [11:39:21.738133] Epoch: [157] [720/850] eta: 0:01:52 lr: 0.002260 loss: 0.0237 (0.0256) loss_rec_all: 0.0599 (0.0618) loss_rec_sfr: 0.0728 (0.0887) loss_cl: -0.3674 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [11:39:38.943392] Epoch: [157] [740/850] eta: 0:01:35 lr: 0.002260 loss: 0.0248 (0.0256) loss_rec_all: 0.0607 (0.0618) loss_rec_sfr: 0.0868 (0.0887) loss_cl: -0.3680 (-0.3673) time: 0.8602 data: 0.0002 max mem: 29859 [11:39:56.203375] Epoch: [157] [760/850] eta: 0:01:18 lr: 0.002260 loss: 0.0252 (0.0256) loss_rec_all: 0.0612 (0.0618) loss_rec_sfr: 0.0717 (0.0886) loss_cl: -0.3671 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [11:40:13.463079] Epoch: [157] [780/850] eta: 0:01:00 lr: 0.002260 loss: 0.0238 (0.0256) loss_rec_all: 0.0600 (0.0618) loss_rec_sfr: 0.0694 (0.0883) loss_cl: -0.3661 (-0.3673) time: 0.8629 data: 0.0003 max mem: 29859 [11:40:30.709557] Epoch: [157] [800/850] eta: 0:00:43 lr: 0.002260 loss: 0.0294 (0.0258) loss_rec_all: 0.0653 (0.0619) loss_rec_sfr: 0.1040 (0.0886) loss_cl: -0.3665 (-0.3673) time: 0.8623 data: 0.0003 max mem: 29859 [11:40:47.926017] Epoch: [157] [820/850] eta: 0:00:26 lr: 0.002260 loss: 0.0275 (0.0258) loss_rec_all: 0.0633 (0.0619) loss_rec_sfr: 0.0977 (0.0888) loss_cl: -0.3673 (-0.3673) time: 0.8608 data: 0.0002 max mem: 29859 [11:41:05.224728] Epoch: [157] [840/850] eta: 0:00:08 lr: 0.002260 loss: 0.0252 (0.0259) loss_rec_all: 0.0616 (0.0620) loss_rec_sfr: 0.0953 (0.0889) loss_cl: -0.3677 (-0.3673) time: 0.8648 data: 0.0007 max mem: 29859 [11:41:13.022693] Epoch: [157] [849/850] eta: 0:00:00 lr: 0.002260 loss: 0.0249 (0.0259) loss_rec_all: 0.0611 (0.0620) loss_rec_sfr: 0.0712 (0.0888) loss_cl: -0.3683 (-0.3673) time: 0.8675 data: 0.0006 max mem: 29859 [11:41:13.217712] Epoch: [157] Total time: 0:12:17 (0.8673 s / it) [11:41:13.220373] Averaged stats: lr: 0.002260 loss: 0.0249 (0.0259) loss_rec_all: 0.0611 (0.0620) loss_rec_sfr: 0.0712 (0.0890) loss_cl: -0.3683 (-0.3672) [11:41:13.233339] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [11:41:17.782976] Epoch: [158] [ 0/850] eta: 1:04:25 lr: 0.002260 loss: 0.0269 (0.0269) loss_rec_all: 0.0628 (0.0628) loss_rec_sfr: 0.1266 (0.1266) loss_cl: -0.3680 (-0.3680) time: 4.5473 data: 3.1890 max mem: 29859 [11:41:34.950129] Epoch: [158] [ 20/850] eta: 0:14:18 lr: 0.002260 loss: 0.0253 (0.0253) loss_rec_all: 0.0611 (0.0614) loss_rec_sfr: 0.0858 (0.0911) loss_cl: -0.3676 (-0.3676) time: 0.8583 data: 0.0002 max mem: 29859 [11:41:52.175401] Epoch: [158] [ 40/850] eta: 0:12:49 lr: 0.002260 loss: 0.0246 (0.0253) loss_rec_all: 0.0606 (0.0614) loss_rec_sfr: 0.0869 (0.0915) loss_cl: -0.3670 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [11:42:09.473513] Epoch: [158] [ 60/850] eta: 0:12:08 lr: 0.002260 loss: 0.0276 (0.0262) loss_rec_all: 0.0633 (0.0622) loss_rec_sfr: 0.0906 (0.0937) loss_cl: -0.3663 (-0.3670) time: 0.8649 data: 0.0003 max mem: 29859 [11:42:26.708903] Epoch: [158] [ 80/850] eta: 0:11:38 lr: 0.002260 loss: 0.0262 (0.0264) loss_rec_all: 0.0623 (0.0625) loss_rec_sfr: 0.0807 (0.0916) loss_cl: -0.3663 (-0.3668) time: 0.8617 data: 0.0002 max mem: 29859 [11:42:43.930407] Epoch: [158] [100/850] eta: 0:11:13 lr: 0.002260 loss: 0.0254 (0.0264) loss_rec_all: 0.0614 (0.0625) loss_rec_sfr: 0.0909 (0.0911) loss_cl: -0.3664 (-0.3668) time: 0.8610 data: 0.0002 max mem: 29859 [11:43:01.207010] Epoch: [158] [120/850] eta: 0:10:51 lr: 0.002260 loss: 0.0259 (0.0264) loss_rec_all: 0.0617 (0.0624) loss_rec_sfr: 0.0751 (0.0909) loss_cl: -0.3673 (-0.3668) time: 0.8638 data: 0.0002 max mem: 29859 [11:43:18.457420] Epoch: [158] [140/850] eta: 0:10:30 lr: 0.002260 loss: 0.0246 (0.0263) loss_rec_all: 0.0607 (0.0624) loss_rec_sfr: 0.0697 (0.0902) loss_cl: -0.3675 (-0.3669) time: 0.8625 data: 0.0003 max mem: 29859 [11:43:35.709657] Epoch: [158] [160/850] eta: 0:10:10 lr: 0.002260 loss: 0.0245 (0.0262) loss_rec_all: 0.0606 (0.0623) loss_rec_sfr: 0.0915 (0.0899) loss_cl: -0.3681 (-0.3670) time: 0.8626 data: 0.0002 max mem: 29859 [11:43:52.966072] Epoch: [158] [180/850] eta: 0:09:51 lr: 0.002260 loss: 0.0233 (0.0260) loss_rec_all: 0.0594 (0.0620) loss_rec_sfr: 0.0703 (0.0894) loss_cl: -0.3681 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [11:44:10.276553] Epoch: [158] [200/850] eta: 0:09:32 lr: 0.002260 loss: 0.0270 (0.0260) loss_rec_all: 0.0628 (0.0621) loss_rec_sfr: 0.0912 (0.0897) loss_cl: -0.3676 (-0.3672) time: 0.8655 data: 0.0003 max mem: 29859 [11:44:27.507253] Epoch: [158] [220/850] eta: 0:09:13 lr: 0.002259 loss: 0.0234 (0.0259) loss_rec_all: 0.0596 (0.0620) loss_rec_sfr: 0.0680 (0.0888) loss_cl: -0.3672 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [11:44:44.770502] Epoch: [158] [240/850] eta: 0:08:55 lr: 0.002259 loss: 0.0240 (0.0258) loss_rec_all: 0.0602 (0.0619) loss_rec_sfr: 0.0644 (0.0882) loss_cl: -0.3675 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [11:45:02.041977] Epoch: [158] [260/850] eta: 0:08:37 lr: 0.002259 loss: 0.0226 (0.0256) loss_rec_all: 0.0590 (0.0618) loss_rec_sfr: 0.0693 (0.0876) loss_cl: -0.3682 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [11:45:19.296572] Epoch: [158] [280/850] eta: 0:08:19 lr: 0.002259 loss: 0.0279 (0.0259) loss_rec_all: 0.0641 (0.0621) loss_rec_sfr: 0.0957 (0.0880) loss_cl: -0.3683 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [11:45:36.511218] Epoch: [158] [300/850] eta: 0:08:01 lr: 0.002259 loss: 0.0286 (0.0261) loss_rec_all: 0.0647 (0.0623) loss_rec_sfr: 0.0715 (0.0878) loss_cl: -0.3668 (-0.3673) time: 0.8607 data: 0.0002 max mem: 29859 [11:45:53.813918] Epoch: [158] [320/850] eta: 0:07:43 lr: 0.002259 loss: 0.0317 (0.0266) loss_rec_all: 0.0676 (0.0627) loss_rec_sfr: 0.1201 (0.0889) loss_cl: -0.3661 (-0.3672) time: 0.8651 data: 0.0002 max mem: 29859 [11:46:11.049598] Epoch: [158] [340/850] eta: 0:07:25 lr: 0.002259 loss: 0.0322 (0.0270) loss_rec_all: 0.0682 (0.0630) loss_rec_sfr: 0.0858 (0.0897) loss_cl: -0.3659 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [11:46:28.299887] Epoch: [158] [360/850] eta: 0:07:07 lr: 0.002259 loss: 0.0293 (0.0271) loss_rec_all: 0.0652 (0.0632) loss_rec_sfr: 0.0765 (0.0898) loss_cl: -0.3665 (-0.3671) time: 0.8625 data: 0.0002 max mem: 29859 [11:46:45.536577] Epoch: [158] [380/850] eta: 0:06:49 lr: 0.002259 loss: 0.0271 (0.0272) loss_rec_all: 0.0630 (0.0633) loss_rec_sfr: 0.0741 (0.0899) loss_cl: -0.3672 (-0.3671) time: 0.8618 data: 0.0002 max mem: 29859 [11:47:02.837710] Epoch: [158] [400/850] eta: 0:06:32 lr: 0.002259 loss: 0.0266 (0.0272) loss_rec_all: 0.0627 (0.0633) loss_rec_sfr: 0.0763 (0.0900) loss_cl: -0.3674 (-0.3671) time: 0.8650 data: 0.0002 max mem: 29859 [11:47:20.049415] Epoch: [158] [420/850] eta: 0:06:14 lr: 0.002259 loss: 0.0254 (0.0272) loss_rec_all: 0.0617 (0.0633) loss_rec_sfr: 0.0936 (0.0901) loss_cl: -0.3678 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [11:47:37.269873] Epoch: [158] [440/850] eta: 0:05:57 lr: 0.002259 loss: 0.0245 (0.0271) loss_rec_all: 0.0608 (0.0632) loss_rec_sfr: 0.0680 (0.0896) loss_cl: -0.3678 (-0.3672) time: 0.8610 data: 0.0002 max mem: 29859 [11:47:54.554430] Epoch: [158] [460/850] eta: 0:05:39 lr: 0.002259 loss: 0.0244 (0.0270) loss_rec_all: 0.0607 (0.0631) loss_rec_sfr: 0.0638 (0.0892) loss_cl: -0.3676 (-0.3672) time: 0.8641 data: 0.0002 max mem: 29859 [11:48:11.814804] Epoch: [158] [480/850] eta: 0:05:21 lr: 0.002259 loss: 0.0236 (0.0269) loss_rec_all: 0.0598 (0.0630) loss_rec_sfr: 0.0694 (0.0890) loss_cl: -0.3672 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [11:48:29.028949] Epoch: [158] [500/850] eta: 0:05:04 lr: 0.002259 loss: 0.0252 (0.0269) loss_rec_all: 0.0612 (0.0630) loss_rec_sfr: 0.0753 (0.0890) loss_cl: -0.3664 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [11:48:46.326136] Epoch: [158] [520/850] eta: 0:04:46 lr: 0.002259 loss: 0.0240 (0.0268) loss_rec_all: 0.0600 (0.0629) loss_rec_sfr: 0.0941 (0.0890) loss_cl: -0.3667 (-0.3672) time: 0.8648 data: 0.0002 max mem: 29859 [11:49:03.587067] Epoch: [158] [540/850] eta: 0:04:29 lr: 0.002259 loss: 0.0228 (0.0267) loss_rec_all: 0.0591 (0.0628) loss_rec_sfr: 0.0636 (0.0886) loss_cl: -0.3670 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [11:49:20.847659] Epoch: [158] [560/850] eta: 0:04:12 lr: 0.002259 loss: 0.0243 (0.0267) loss_rec_all: 0.0606 (0.0628) loss_rec_sfr: 0.0900 (0.0889) loss_cl: -0.3673 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [11:49:38.076456] Epoch: [158] [580/850] eta: 0:03:54 lr: 0.002258 loss: 0.0248 (0.0266) loss_rec_all: 0.0612 (0.0627) loss_rec_sfr: 0.0919 (0.0889) loss_cl: -0.3675 (-0.3672) time: 0.8614 data: 0.0002 max mem: 29859 [11:49:55.389154] Epoch: [158] [600/850] eta: 0:03:37 lr: 0.002258 loss: 0.0238 (0.0266) loss_rec_all: 0.0599 (0.0627) loss_rec_sfr: 0.0667 (0.0885) loss_cl: -0.3674 (-0.3672) time: 0.8656 data: 0.0002 max mem: 29859 [11:50:12.606632] Epoch: [158] [620/850] eta: 0:03:19 lr: 0.002258 loss: 0.0239 (0.0265) loss_rec_all: 0.0602 (0.0626) loss_rec_sfr: 0.0688 (0.0883) loss_cl: -0.3676 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [11:50:29.862868] Epoch: [158] [640/850] eta: 0:03:02 lr: 0.002258 loss: 0.0244 (0.0265) loss_rec_all: 0.0605 (0.0626) loss_rec_sfr: 0.0795 (0.0882) loss_cl: -0.3681 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [11:50:47.133684] Epoch: [158] [660/850] eta: 0:02:44 lr: 0.002258 loss: 0.0250 (0.0265) loss_rec_all: 0.0610 (0.0626) loss_rec_sfr: 0.0966 (0.0884) loss_cl: -0.3677 (-0.3672) time: 0.8635 data: 0.0002 max mem: 29859 [11:51:04.391051] Epoch: [158] [680/850] eta: 0:02:27 lr: 0.002258 loss: 0.0261 (0.0264) loss_rec_all: 0.0623 (0.0626) loss_rec_sfr: 0.0923 (0.0886) loss_cl: -0.3676 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [11:51:21.596896] Epoch: [158] [700/850] eta: 0:02:10 lr: 0.002258 loss: 0.0276 (0.0265) loss_rec_all: 0.0638 (0.0626) loss_rec_sfr: 0.0929 (0.0890) loss_cl: -0.3679 (-0.3673) time: 0.8602 data: 0.0002 max mem: 29859 [11:51:38.869282] Epoch: [158] [720/850] eta: 0:01:52 lr: 0.002258 loss: 0.0267 (0.0265) loss_rec_all: 0.0628 (0.0626) loss_rec_sfr: 0.0739 (0.0889) loss_cl: -0.3671 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [11:51:56.114263] Epoch: [158] [740/850] eta: 0:01:35 lr: 0.002258 loss: 0.0262 (0.0265) loss_rec_all: 0.0621 (0.0626) loss_rec_sfr: 0.0736 (0.0889) loss_cl: -0.3670 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [11:52:13.368809] Epoch: [158] [760/850] eta: 0:01:18 lr: 0.002258 loss: 0.0266 (0.0266) loss_rec_all: 0.0628 (0.0627) loss_rec_sfr: 0.0920 (0.0889) loss_cl: -0.3670 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [11:52:30.580496] Epoch: [158] [780/850] eta: 0:01:00 lr: 0.002258 loss: 0.0258 (0.0266) loss_rec_all: 0.0621 (0.0627) loss_rec_sfr: 0.0647 (0.0887) loss_cl: -0.3671 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [11:52:47.909062] Epoch: [158] [800/850] eta: 0:00:43 lr: 0.002258 loss: 0.0252 (0.0266) loss_rec_all: 0.0613 (0.0627) loss_rec_sfr: 0.0742 (0.0888) loss_cl: -0.3672 (-0.3672) time: 0.8664 data: 0.0002 max mem: 29859 [11:53:05.109260] Epoch: [158] [820/850] eta: 0:00:26 lr: 0.002258 loss: 0.0255 (0.0266) loss_rec_all: 0.0618 (0.0627) loss_rec_sfr: 0.0863 (0.0887) loss_cl: -0.3679 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [11:53:22.373336] Epoch: [158] [840/850] eta: 0:00:08 lr: 0.002258 loss: 0.0250 (0.0266) loss_rec_all: 0.0614 (0.0627) loss_rec_sfr: 0.0694 (0.0886) loss_cl: -0.3677 (-0.3672) time: 0.8631 data: 0.0005 max mem: 29859 [11:53:30.122854] Epoch: [158] [849/850] eta: 0:00:00 lr: 0.002258 loss: 0.0238 (0.0265) loss_rec_all: 0.0599 (0.0626) loss_rec_sfr: 0.0630 (0.0884) loss_cl: -0.3674 (-0.3673) time: 0.8633 data: 0.0005 max mem: 29859 [11:53:30.252076] Epoch: [158] Total time: 0:12:17 (0.8671 s / it) [11:53:30.288815] Averaged stats: lr: 0.002258 loss: 0.0238 (0.0266) loss_rec_all: 0.0599 (0.0627) loss_rec_sfr: 0.0630 (0.0890) loss_cl: -0.3674 (-0.3672) [11:53:30.295138] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [11:53:35.035586] Epoch: [159] [ 0/850] eta: 1:07:06 lr: 0.002258 loss: 0.0225 (0.0225) loss_rec_all: 0.0588 (0.0588) loss_rec_sfr: 0.0565 (0.0565) loss_cl: -0.3672 (-0.3672) time: 4.7374 data: 3.2174 max mem: 29859 [11:53:52.217702] Epoch: [159] [ 20/850] eta: 0:14:26 lr: 0.002258 loss: 0.0239 (0.0250) loss_rec_all: 0.0599 (0.0611) loss_rec_sfr: 0.0967 (0.0943) loss_cl: -0.3676 (-0.3676) time: 0.8590 data: 0.0002 max mem: 29859 [11:54:09.453717] Epoch: [159] [ 40/850] eta: 0:12:53 lr: 0.002258 loss: 0.0249 (0.0248) loss_rec_all: 0.0609 (0.0609) loss_rec_sfr: 0.0876 (0.0932) loss_cl: -0.3679 (-0.3678) time: 0.8617 data: 0.0002 max mem: 29859 [11:54:26.672663] Epoch: [159] [ 60/850] eta: 0:12:10 lr: 0.002258 loss: 0.0245 (0.0250) loss_rec_all: 0.0606 (0.0612) loss_rec_sfr: 0.0754 (0.0892) loss_cl: -0.3674 (-0.3676) time: 0.8608 data: 0.0002 max mem: 29859 [11:54:43.972020] Epoch: [159] [ 80/850] eta: 0:11:40 lr: 0.002257 loss: 0.0258 (0.0251) loss_rec_all: 0.0615 (0.0612) loss_rec_sfr: 0.0893 (0.0902) loss_cl: -0.3667 (-0.3674) time: 0.8649 data: 0.0003 max mem: 29859 [11:55:01.181962] Epoch: [159] [100/850] eta: 0:11:14 lr: 0.002257 loss: 0.0246 (0.0251) loss_rec_all: 0.0607 (0.0612) loss_rec_sfr: 0.0703 (0.0885) loss_cl: -0.3660 (-0.3671) time: 0.8604 data: 0.0002 max mem: 29859 [11:55:18.447104] Epoch: [159] [120/850] eta: 0:10:52 lr: 0.002257 loss: 0.0252 (0.0253) loss_rec_all: 0.0613 (0.0614) loss_rec_sfr: 0.0643 (0.0863) loss_cl: -0.3661 (-0.3669) time: 0.8632 data: 0.0003 max mem: 29859 [11:55:35.733580] Epoch: [159] [140/850] eta: 0:10:31 lr: 0.002257 loss: 0.0253 (0.0254) loss_rec_all: 0.0614 (0.0615) loss_rec_sfr: 0.0755 (0.0873) loss_cl: -0.3663 (-0.3668) time: 0.8642 data: 0.0003 max mem: 29859 [11:55:52.980069] Epoch: [159] [160/850] eta: 0:10:11 lr: 0.002257 loss: 0.0257 (0.0256) loss_rec_all: 0.0619 (0.0617) loss_rec_sfr: 0.0935 (0.0871) loss_cl: -0.3674 (-0.3669) time: 0.8623 data: 0.0002 max mem: 29859 [11:56:10.205217] Epoch: [159] [180/850] eta: 0:09:51 lr: 0.002257 loss: 0.0261 (0.0257) loss_rec_all: 0.0623 (0.0618) loss_rec_sfr: 0.0680 (0.0868) loss_cl: -0.3680 (-0.3670) time: 0.8612 data: 0.0003 max mem: 29859 [11:56:27.517440] Epoch: [159] [200/850] eta: 0:09:33 lr: 0.002257 loss: 0.0263 (0.0258) loss_rec_all: 0.0625 (0.0619) loss_rec_sfr: 0.0959 (0.0877) loss_cl: -0.3682 (-0.3671) time: 0.8655 data: 0.0003 max mem: 29859 [11:56:44.784046] Epoch: [159] [220/850] eta: 0:09:14 lr: 0.002257 loss: 0.0247 (0.0259) loss_rec_all: 0.0611 (0.0620) loss_rec_sfr: 0.0958 (0.0878) loss_cl: -0.3676 (-0.3671) time: 0.8633 data: 0.0003 max mem: 29859 [11:57:02.037631] Epoch: [159] [240/850] eta: 0:08:55 lr: 0.002257 loss: 0.0246 (0.0259) loss_rec_all: 0.0608 (0.0620) loss_rec_sfr: 0.0892 (0.0883) loss_cl: -0.3675 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [11:57:19.271682] Epoch: [159] [260/850] eta: 0:08:37 lr: 0.002257 loss: 0.0249 (0.0258) loss_rec_all: 0.0609 (0.0619) loss_rec_sfr: 0.0800 (0.0882) loss_cl: -0.3678 (-0.3672) time: 0.8616 data: 0.0003 max mem: 29859 [11:57:36.564289] Epoch: [159] [280/850] eta: 0:08:19 lr: 0.002257 loss: 0.0256 (0.0259) loss_rec_all: 0.0613 (0.0620) loss_rec_sfr: 0.0684 (0.0883) loss_cl: -0.3668 (-0.3672) time: 0.8645 data: 0.0002 max mem: 29859 [11:57:53.808800] Epoch: [159] [300/850] eta: 0:08:01 lr: 0.002257 loss: 0.0254 (0.0259) loss_rec_all: 0.0615 (0.0620) loss_rec_sfr: 0.0682 (0.0877) loss_cl: -0.3664 (-0.3671) time: 0.8622 data: 0.0002 max mem: 29859 [11:58:11.060702] Epoch: [159] [320/850] eta: 0:07:43 lr: 0.002257 loss: 0.0239 (0.0258) loss_rec_all: 0.0601 (0.0619) loss_rec_sfr: 0.0688 (0.0871) loss_cl: -0.3669 (-0.3671) time: 0.8625 data: 0.0002 max mem: 29859 [11:58:28.330691] Epoch: [159] [340/850] eta: 0:07:25 lr: 0.002257 loss: 0.0255 (0.0258) loss_rec_all: 0.0612 (0.0619) loss_rec_sfr: 0.0920 (0.0875) loss_cl: -0.3674 (-0.3671) time: 0.8634 data: 0.0003 max mem: 29859 [11:58:45.594261] Epoch: [159] [360/850] eta: 0:07:07 lr: 0.002257 loss: 0.0236 (0.0258) loss_rec_all: 0.0599 (0.0619) loss_rec_sfr: 0.0662 (0.0876) loss_cl: -0.3675 (-0.3671) time: 0.8631 data: 0.0002 max mem: 29859 [11:59:02.820790] Epoch: [159] [380/850] eta: 0:06:50 lr: 0.002257 loss: 0.0240 (0.0257) loss_rec_all: 0.0602 (0.0618) loss_rec_sfr: 0.0670 (0.0875) loss_cl: -0.3678 (-0.3672) time: 0.8612 data: 0.0002 max mem: 29859 [11:59:20.133399] Epoch: [159] [400/850] eta: 0:06:32 lr: 0.002257 loss: 0.0246 (0.0257) loss_rec_all: 0.0608 (0.0618) loss_rec_sfr: 0.0697 (0.0870) loss_cl: -0.3676 (-0.3672) time: 0.8656 data: 0.0003 max mem: 29859 [11:59:37.352161] Epoch: [159] [420/850] eta: 0:06:14 lr: 0.002257 loss: 0.0280 (0.0259) loss_rec_all: 0.0642 (0.0620) loss_rec_sfr: 0.0716 (0.0870) loss_cl: -0.3673 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [11:59:54.586188] Epoch: [159] [440/850] eta: 0:05:57 lr: 0.002257 loss: 0.0270 (0.0260) loss_rec_all: 0.0632 (0.0621) loss_rec_sfr: 0.0697 (0.0870) loss_cl: -0.3674 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [12:00:11.803288] Epoch: [159] [460/850] eta: 0:05:39 lr: 0.002256 loss: 0.0281 (0.0261) loss_rec_all: 0.0641 (0.0622) loss_rec_sfr: 0.0744 (0.0872) loss_cl: -0.3670 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [12:00:29.098604] Epoch: [159] [480/850] eta: 0:05:22 lr: 0.002256 loss: 0.0268 (0.0262) loss_rec_all: 0.0627 (0.0623) loss_rec_sfr: 0.0987 (0.0875) loss_cl: -0.3673 (-0.3672) time: 0.8647 data: 0.0002 max mem: 29859 [12:00:46.308418] Epoch: [159] [500/850] eta: 0:05:04 lr: 0.002256 loss: 0.0252 (0.0262) loss_rec_all: 0.0615 (0.0623) loss_rec_sfr: 0.0692 (0.0873) loss_cl: -0.3680 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [12:01:03.574272] Epoch: [159] [520/850] eta: 0:04:47 lr: 0.002256 loss: 0.0242 (0.0261) loss_rec_all: 0.0604 (0.0622) loss_rec_sfr: 0.0925 (0.0875) loss_cl: -0.3672 (-0.3672) time: 0.8632 data: 0.0002 max mem: 29859 [12:01:20.896076] Epoch: [159] [540/850] eta: 0:04:29 lr: 0.002256 loss: 0.0229 (0.0260) loss_rec_all: 0.0591 (0.0622) loss_rec_sfr: 0.0636 (0.0873) loss_cl: -0.3667 (-0.3672) time: 0.8660 data: 0.0003 max mem: 29859 [12:01:38.161942] Epoch: [159] [560/850] eta: 0:04:12 lr: 0.002256 loss: 0.0241 (0.0260) loss_rec_all: 0.0603 (0.0621) loss_rec_sfr: 0.0675 (0.0871) loss_cl: -0.3669 (-0.3672) time: 0.8632 data: 0.0002 max mem: 29859 [12:01:55.399653] Epoch: [159] [580/850] eta: 0:03:54 lr: 0.002256 loss: 0.0226 (0.0259) loss_rec_all: 0.0589 (0.0620) loss_rec_sfr: 0.0601 (0.0865) loss_cl: -0.3672 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [12:02:12.697835] Epoch: [159] [600/850] eta: 0:03:37 lr: 0.002256 loss: 0.0264 (0.0259) loss_rec_all: 0.0624 (0.0620) loss_rec_sfr: 0.0900 (0.0867) loss_cl: -0.3673 (-0.3672) time: 0.8649 data: 0.0003 max mem: 29859 [12:02:29.918183] Epoch: [159] [620/850] eta: 0:03:19 lr: 0.002256 loss: 0.0234 (0.0259) loss_rec_all: 0.0597 (0.0620) loss_rec_sfr: 0.0689 (0.0866) loss_cl: -0.3676 (-0.3672) time: 0.8610 data: 0.0002 max mem: 29859 [12:02:47.171807] Epoch: [159] [640/850] eta: 0:03:02 lr: 0.002256 loss: 0.0234 (0.0258) loss_rec_all: 0.0598 (0.0619) loss_rec_sfr: 0.0682 (0.0865) loss_cl: -0.3677 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [12:03:04.450637] Epoch: [159] [660/850] eta: 0:02:45 lr: 0.002256 loss: 0.0248 (0.0258) loss_rec_all: 0.0607 (0.0619) loss_rec_sfr: 0.0942 (0.0868) loss_cl: -0.3671 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [12:03:21.703610] Epoch: [159] [680/850] eta: 0:02:27 lr: 0.002256 loss: 0.0236 (0.0258) loss_rec_all: 0.0598 (0.0619) loss_rec_sfr: 0.0616 (0.0867) loss_cl: -0.3674 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [12:03:38.903118] Epoch: [159] [700/850] eta: 0:02:10 lr: 0.002256 loss: 0.0254 (0.0258) loss_rec_all: 0.0614 (0.0619) loss_rec_sfr: 0.0917 (0.0869) loss_cl: -0.3673 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [12:03:56.195655] Epoch: [159] [720/850] eta: 0:01:52 lr: 0.002256 loss: 0.0250 (0.0258) loss_rec_all: 0.0611 (0.0619) loss_rec_sfr: 0.0720 (0.0870) loss_cl: -0.3671 (-0.3672) time: 0.8646 data: 0.0002 max mem: 29859 [12:04:13.418659] Epoch: [159] [740/850] eta: 0:01:35 lr: 0.002256 loss: 0.0264 (0.0258) loss_rec_all: 0.0628 (0.0619) loss_rec_sfr: 0.0779 (0.0870) loss_cl: -0.3673 (-0.3672) time: 0.8611 data: 0.0002 max mem: 29859 [12:04:30.674472] Epoch: [159] [760/850] eta: 0:01:18 lr: 0.002256 loss: 0.0279 (0.0259) loss_rec_all: 0.0640 (0.0620) loss_rec_sfr: 0.0764 (0.0872) loss_cl: -0.3668 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [12:04:47.913747] Epoch: [159] [780/850] eta: 0:01:00 lr: 0.002256 loss: 0.0271 (0.0259) loss_rec_all: 0.0631 (0.0621) loss_rec_sfr: 0.0792 (0.0873) loss_cl: -0.3667 (-0.3672) time: 0.8619 data: 0.0003 max mem: 29859 [12:05:05.215051] Epoch: [159] [800/850] eta: 0:00:43 lr: 0.002256 loss: 0.0263 (0.0260) loss_rec_all: 0.0626 (0.0621) loss_rec_sfr: 0.0717 (0.0873) loss_cl: -0.3671 (-0.3672) time: 0.8650 data: 0.0003 max mem: 29859 [12:05:22.425148] Epoch: [159] [820/850] eta: 0:00:26 lr: 0.002255 loss: 0.0258 (0.0260) loss_rec_all: 0.0621 (0.0621) loss_rec_sfr: 0.0711 (0.0874) loss_cl: -0.3671 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [12:05:39.694301] Epoch: [159] [840/850] eta: 0:00:08 lr: 0.002255 loss: 0.0245 (0.0260) loss_rec_all: 0.0608 (0.0621) loss_rec_sfr: 0.0765 (0.0875) loss_cl: -0.3673 (-0.3672) time: 0.8634 data: 0.0008 max mem: 29859 [12:05:47.471590] Epoch: [159] [849/850] eta: 0:00:00 lr: 0.002255 loss: 0.0254 (0.0260) loss_rec_all: 0.0615 (0.0621) loss_rec_sfr: 0.0960 (0.0876) loss_cl: -0.3678 (-0.3672) time: 0.8647 data: 0.0008 max mem: 29859 [12:05:47.631567] Epoch: [159] Total time: 0:12:17 (0.8675 s / it) [12:05:47.635235] Averaged stats: lr: 0.002255 loss: 0.0254 (0.0262) loss_rec_all: 0.0615 (0.0623) loss_rec_sfr: 0.0960 (0.0893) loss_cl: -0.3678 (-0.3672) [12:05:47.650830] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [12:05:52.167977] Epoch: [160] [ 0/850] eta: 1:03:58 lr: 0.002255 loss: 0.0237 (0.0237) loss_rec_all: 0.0597 (0.0597) loss_rec_sfr: 0.1160 (0.1160) loss_cl: -0.3677 (-0.3677) time: 4.5164 data: 3.6636 max mem: 29859 [12:06:09.350782] Epoch: [160] [ 20/850] eta: 0:14:17 lr: 0.002255 loss: 0.0238 (0.0239) loss_rec_all: 0.0601 (0.0600) loss_rec_sfr: 0.0693 (0.0875) loss_cl: -0.3680 (-0.3679) time: 0.8591 data: 0.0002 max mem: 29859 [12:06:26.610456] Epoch: [160] [ 40/850] eta: 0:12:49 lr: 0.002255 loss: 0.0251 (0.0244) loss_rec_all: 0.0608 (0.0605) loss_rec_sfr: 0.1056 (0.0970) loss_cl: -0.3678 (-0.3678) time: 0.8629 data: 0.0003 max mem: 29859 [12:06:43.842960] Epoch: [160] [ 60/850] eta: 0:12:07 lr: 0.002255 loss: 0.0252 (0.0245) loss_rec_all: 0.0614 (0.0606) loss_rec_sfr: 0.0727 (0.0957) loss_cl: -0.3673 (-0.3677) time: 0.8616 data: 0.0003 max mem: 29859 [12:07:01.115923] Epoch: [160] [ 80/850] eta: 0:11:38 lr: 0.002255 loss: 0.0257 (0.0250) loss_rec_all: 0.0615 (0.0611) loss_rec_sfr: 0.0946 (0.0963) loss_cl: -0.3673 (-0.3676) time: 0.8636 data: 0.0003 max mem: 29859 [12:07:18.310446] Epoch: [160] [100/850] eta: 0:11:13 lr: 0.002255 loss: 0.0239 (0.0250) loss_rec_all: 0.0602 (0.0611) loss_rec_sfr: 0.0978 (0.0964) loss_cl: -0.3680 (-0.3676) time: 0.8597 data: 0.0002 max mem: 29859 [12:07:35.575622] Epoch: [160] [120/850] eta: 0:10:51 lr: 0.002255 loss: 0.0235 (0.0248) loss_rec_all: 0.0598 (0.0609) loss_rec_sfr: 0.0639 (0.0941) loss_cl: -0.3676 (-0.3676) time: 0.8632 data: 0.0002 max mem: 29859 [12:07:52.879941] Epoch: [160] [140/850] eta: 0:10:30 lr: 0.002255 loss: 0.0243 (0.0248) loss_rec_all: 0.0606 (0.0609) loss_rec_sfr: 0.0746 (0.0935) loss_cl: -0.3677 (-0.3676) time: 0.8652 data: 0.0003 max mem: 29859 [12:08:10.131534] Epoch: [160] [160/850] eta: 0:10:10 lr: 0.002255 loss: 0.0243 (0.0250) loss_rec_all: 0.0606 (0.0611) loss_rec_sfr: 0.0630 (0.0924) loss_cl: -0.3665 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [12:08:27.369500] Epoch: [160] [180/850] eta: 0:09:51 lr: 0.002255 loss: 0.0231 (0.0249) loss_rec_all: 0.0593 (0.0610) loss_rec_sfr: 0.0618 (0.0912) loss_cl: -0.3663 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [12:08:44.672973] Epoch: [160] [200/850] eta: 0:09:32 lr: 0.002255 loss: 0.0236 (0.0249) loss_rec_all: 0.0598 (0.0610) loss_rec_sfr: 0.0708 (0.0901) loss_cl: -0.3668 (-0.3673) time: 0.8651 data: 0.0003 max mem: 29859 [12:09:01.905099] Epoch: [160] [220/850] eta: 0:09:13 lr: 0.002255 loss: 0.0243 (0.0249) loss_rec_all: 0.0605 (0.0610) loss_rec_sfr: 0.0681 (0.0897) loss_cl: -0.3673 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [12:09:19.153480] Epoch: [160] [240/850] eta: 0:08:55 lr: 0.002255 loss: 0.0238 (0.0248) loss_rec_all: 0.0601 (0.0609) loss_rec_sfr: 0.0681 (0.0891) loss_cl: -0.3674 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [12:09:36.414843] Epoch: [160] [260/850] eta: 0:08:37 lr: 0.002255 loss: 0.0236 (0.0248) loss_rec_all: 0.0598 (0.0609) loss_rec_sfr: 0.0701 (0.0888) loss_cl: -0.3677 (-0.3673) time: 0.8630 data: 0.0003 max mem: 29859 [12:09:53.728318] Epoch: [160] [280/850] eta: 0:08:19 lr: 0.002255 loss: 0.0253 (0.0249) loss_rec_all: 0.0615 (0.0610) loss_rec_sfr: 0.0935 (0.0892) loss_cl: -0.3672 (-0.3673) time: 0.8656 data: 0.0002 max mem: 29859 [12:10:10.933585] Epoch: [160] [300/850] eta: 0:08:01 lr: 0.002255 loss: 0.0260 (0.0250) loss_rec_all: 0.0618 (0.0611) loss_rec_sfr: 0.0863 (0.0893) loss_cl: -0.3673 (-0.3673) time: 0.8602 data: 0.0002 max mem: 29859 [12:10:28.206383] Epoch: [160] [320/850] eta: 0:07:43 lr: 0.002254 loss: 0.0251 (0.0251) loss_rec_all: 0.0610 (0.0612) loss_rec_sfr: 0.0983 (0.0898) loss_cl: -0.3673 (-0.3673) time: 0.8636 data: 0.0003 max mem: 29859 [12:10:45.444520] Epoch: [160] [340/850] eta: 0:07:25 lr: 0.002254 loss: 0.0271 (0.0253) loss_rec_all: 0.0632 (0.0614) loss_rec_sfr: 0.0979 (0.0907) loss_cl: -0.3670 (-0.3673) time: 0.8618 data: 0.0003 max mem: 29859 [12:11:02.723637] Epoch: [160] [360/850] eta: 0:07:07 lr: 0.002254 loss: 0.0253 (0.0252) loss_rec_all: 0.0613 (0.0613) loss_rec_sfr: 0.0714 (0.0903) loss_cl: -0.3672 (-0.3673) time: 0.8639 data: 0.0003 max mem: 29859 [12:11:19.939085] Epoch: [160] [380/850] eta: 0:06:49 lr: 0.002254 loss: 0.0249 (0.0253) loss_rec_all: 0.0611 (0.0613) loss_rec_sfr: 0.0734 (0.0905) loss_cl: -0.3673 (-0.3673) time: 0.8607 data: 0.0002 max mem: 29859 [12:11:37.277420] Epoch: [160] [400/850] eta: 0:06:32 lr: 0.002254 loss: 0.0248 (0.0253) loss_rec_all: 0.0611 (0.0614) loss_rec_sfr: 0.0665 (0.0900) loss_cl: -0.3674 (-0.3673) time: 0.8669 data: 0.0002 max mem: 29859 [12:11:54.485177] Epoch: [160] [420/850] eta: 0:06:14 lr: 0.002254 loss: 0.0234 (0.0252) loss_rec_all: 0.0594 (0.0613) loss_rec_sfr: 0.0673 (0.0898) loss_cl: -0.3673 (-0.3673) time: 0.8603 data: 0.0002 max mem: 29859 [12:12:11.736558] Epoch: [160] [440/850] eta: 0:05:57 lr: 0.002254 loss: 0.0242 (0.0252) loss_rec_all: 0.0601 (0.0613) loss_rec_sfr: 0.0888 (0.0898) loss_cl: -0.3666 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [12:12:28.956120] Epoch: [160] [460/850] eta: 0:05:39 lr: 0.002254 loss: 0.0239 (0.0252) loss_rec_all: 0.0600 (0.0613) loss_rec_sfr: 0.0645 (0.0897) loss_cl: -0.3668 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [12:12:46.256144] Epoch: [160] [480/850] eta: 0:05:21 lr: 0.002254 loss: 0.0242 (0.0252) loss_rec_all: 0.0604 (0.0613) loss_rec_sfr: 0.0705 (0.0896) loss_cl: -0.3670 (-0.3672) time: 0.8649 data: 0.0002 max mem: 29859 [12:13:03.469333] Epoch: [160] [500/850] eta: 0:05:04 lr: 0.002254 loss: 0.0236 (0.0251) loss_rec_all: 0.0598 (0.0612) loss_rec_sfr: 0.0692 (0.0894) loss_cl: -0.3676 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [12:13:20.718589] Epoch: [160] [520/850] eta: 0:04:46 lr: 0.002254 loss: 0.0241 (0.0251) loss_rec_all: 0.0601 (0.0612) loss_rec_sfr: 0.0772 (0.0894) loss_cl: -0.3678 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [12:13:38.009980] Epoch: [160] [540/850] eta: 0:04:29 lr: 0.002254 loss: 0.0257 (0.0252) loss_rec_all: 0.0617 (0.0613) loss_rec_sfr: 0.0953 (0.0897) loss_cl: -0.3673 (-0.3673) time: 0.8645 data: 0.0003 max mem: 29859 [12:13:55.230240] Epoch: [160] [560/850] eta: 0:04:12 lr: 0.002254 loss: 0.0254 (0.0252) loss_rec_all: 0.0615 (0.0613) loss_rec_sfr: 0.0754 (0.0898) loss_cl: -0.3667 (-0.3672) time: 0.8610 data: 0.0002 max mem: 29859 [12:14:12.437273] Epoch: [160] [580/850] eta: 0:03:54 lr: 0.002254 loss: 0.0249 (0.0252) loss_rec_all: 0.0607 (0.0613) loss_rec_sfr: 0.0714 (0.0898) loss_cl: -0.3671 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [12:14:29.704631] Epoch: [160] [600/850] eta: 0:03:37 lr: 0.002254 loss: 0.0246 (0.0252) loss_rec_all: 0.0605 (0.0613) loss_rec_sfr: 0.0726 (0.0896) loss_cl: -0.3676 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [12:14:46.956844] Epoch: [160] [620/850] eta: 0:03:19 lr: 0.002254 loss: 0.0245 (0.0252) loss_rec_all: 0.0605 (0.0613) loss_rec_sfr: 0.0709 (0.0895) loss_cl: -0.3675 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [12:15:04.198467] Epoch: [160] [640/850] eta: 0:03:02 lr: 0.002254 loss: 0.0247 (0.0252) loss_rec_all: 0.0608 (0.0613) loss_rec_sfr: 0.0897 (0.0896) loss_cl: -0.3682 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [12:15:21.425865] Epoch: [160] [660/850] eta: 0:02:44 lr: 0.002254 loss: 0.0260 (0.0252) loss_rec_all: 0.0623 (0.0613) loss_rec_sfr: 0.0761 (0.0898) loss_cl: -0.3682 (-0.3673) time: 0.8613 data: 0.0003 max mem: 29859 [12:15:38.707651] Epoch: [160] [680/850] eta: 0:02:27 lr: 0.002253 loss: 0.0266 (0.0253) loss_rec_all: 0.0625 (0.0614) loss_rec_sfr: 0.0817 (0.0898) loss_cl: -0.3680 (-0.3673) time: 0.8640 data: 0.0003 max mem: 29859 [12:15:55.932027] Epoch: [160] [700/850] eta: 0:02:10 lr: 0.002253 loss: 0.0260 (0.0253) loss_rec_all: 0.0622 (0.0614) loss_rec_sfr: 0.0763 (0.0896) loss_cl: -0.3672 (-0.3673) time: 0.8612 data: 0.0004 max mem: 29859 [12:16:13.179882] Epoch: [160] [720/850] eta: 0:01:52 lr: 0.002253 loss: 0.0240 (0.0254) loss_rec_all: 0.0603 (0.0615) loss_rec_sfr: 0.0716 (0.0896) loss_cl: -0.3668 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [12:16:30.420817] Epoch: [160] [740/850] eta: 0:01:35 lr: 0.002253 loss: 0.0255 (0.0254) loss_rec_all: 0.0616 (0.0615) loss_rec_sfr: 0.0953 (0.0898) loss_cl: -0.3665 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [12:16:47.730671] Epoch: [160] [760/850] eta: 0:01:18 lr: 0.002253 loss: 0.0258 (0.0254) loss_rec_all: 0.0615 (0.0615) loss_rec_sfr: 0.0921 (0.0899) loss_cl: -0.3665 (-0.3673) time: 0.8654 data: 0.0003 max mem: 29859 [12:17:04.916995] Epoch: [160] [780/850] eta: 0:01:00 lr: 0.002253 loss: 0.0251 (0.0254) loss_rec_all: 0.0610 (0.0615) loss_rec_sfr: 0.0947 (0.0899) loss_cl: -0.3671 (-0.3673) time: 0.8593 data: 0.0002 max mem: 29859 [12:17:22.156138] Epoch: [160] [800/850] eta: 0:00:43 lr: 0.002253 loss: 0.0272 (0.0255) loss_rec_all: 0.0634 (0.0616) loss_rec_sfr: 0.0959 (0.0900) loss_cl: -0.3677 (-0.3673) time: 0.8619 data: 0.0003 max mem: 29859 [12:17:39.416654] Epoch: [160] [820/850] eta: 0:00:26 lr: 0.002253 loss: 0.0249 (0.0255) loss_rec_all: 0.0610 (0.0616) loss_rec_sfr: 0.0936 (0.0901) loss_cl: -0.3675 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [12:17:56.662407] Epoch: [160] [840/850] eta: 0:00:08 lr: 0.002253 loss: 0.0243 (0.0255) loss_rec_all: 0.0605 (0.0616) loss_rec_sfr: 0.0784 (0.0901) loss_cl: -0.3677 (-0.3673) time: 0.8622 data: 0.0006 max mem: 29859 [12:18:04.401961] Epoch: [160] [849/850] eta: 0:00:00 lr: 0.002253 loss: 0.0248 (0.0255) loss_rec_all: 0.0609 (0.0616) loss_rec_sfr: 0.0785 (0.0900) loss_cl: -0.3676 (-0.3673) time: 0.8620 data: 0.0005 max mem: 29859 [12:18:04.591956] Epoch: [160] Total time: 0:12:16 (0.8670 s / it) [12:18:04.614491] Averaged stats: lr: 0.002253 loss: 0.0248 (0.0255) loss_rec_all: 0.0609 (0.0616) loss_rec_sfr: 0.0785 (0.0889) loss_cl: -0.3676 (-0.3672) [12:18:04.621624] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [12:18:09.279417] Epoch: [161] [ 0/850] eta: 1:05:58 lr: 0.002253 loss: 0.0240 (0.0240) loss_rec_all: 0.0599 (0.0599) loss_rec_sfr: 0.1174 (0.1174) loss_cl: -0.3667 (-0.3667) time: 4.6572 data: 3.7957 max mem: 29859 [12:18:26.488374] Epoch: [161] [ 20/850] eta: 0:14:24 lr: 0.002253 loss: 0.0244 (0.0255) loss_rec_all: 0.0606 (0.0616) loss_rec_sfr: 0.0716 (0.0865) loss_cl: -0.3672 (-0.3671) time: 0.8604 data: 0.0002 max mem: 29859 [12:18:43.745716] Epoch: [161] [ 40/850] eta: 0:12:52 lr: 0.002253 loss: 0.0233 (0.0250) loss_rec_all: 0.0596 (0.0611) loss_rec_sfr: 0.0631 (0.0849) loss_cl: -0.3671 (-0.3671) time: 0.8628 data: 0.0002 max mem: 29859 [12:19:00.942532] Epoch: [161] [ 60/850] eta: 0:12:09 lr: 0.002253 loss: 0.0245 (0.0252) loss_rec_all: 0.0606 (0.0613) loss_rec_sfr: 0.0697 (0.0862) loss_cl: -0.3669 (-0.3670) time: 0.8597 data: 0.0002 max mem: 29859 [12:19:18.174764] Epoch: [161] [ 80/850] eta: 0:11:39 lr: 0.002253 loss: 0.0256 (0.0255) loss_rec_all: 0.0615 (0.0616) loss_rec_sfr: 0.0716 (0.0868) loss_cl: -0.3673 (-0.3671) time: 0.8616 data: 0.0002 max mem: 29859 [12:19:35.412000] Epoch: [161] [100/850] eta: 0:11:14 lr: 0.002253 loss: 0.0250 (0.0256) loss_rec_all: 0.0612 (0.0617) loss_rec_sfr: 0.0884 (0.0877) loss_cl: -0.3679 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [12:19:52.652166] Epoch: [161] [120/850] eta: 0:10:51 lr: 0.002253 loss: 0.0238 (0.0253) loss_rec_all: 0.0599 (0.0614) loss_rec_sfr: 0.0588 (0.0856) loss_cl: -0.3671 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [12:20:09.842220] Epoch: [161] [140/850] eta: 0:10:30 lr: 0.002253 loss: 0.0242 (0.0253) loss_rec_all: 0.0602 (0.0614) loss_rec_sfr: 0.0667 (0.0854) loss_cl: -0.3669 (-0.3671) time: 0.8595 data: 0.0002 max mem: 29859 [12:20:27.107819] Epoch: [161] [160/850] eta: 0:10:10 lr: 0.002253 loss: 0.0227 (0.0251) loss_rec_all: 0.0589 (0.0612) loss_rec_sfr: 0.0651 (0.0850) loss_cl: -0.3669 (-0.3671) time: 0.8632 data: 0.0002 max mem: 29859 [12:20:44.318801] Epoch: [161] [180/850] eta: 0:09:51 lr: 0.002253 loss: 0.0239 (0.0251) loss_rec_all: 0.0602 (0.0612) loss_rec_sfr: 0.0904 (0.0856) loss_cl: -0.3672 (-0.3671) time: 0.8605 data: 0.0002 max mem: 29859 [12:21:01.546988] Epoch: [161] [200/850] eta: 0:09:32 lr: 0.002252 loss: 0.0232 (0.0250) loss_rec_all: 0.0594 (0.0611) loss_rec_sfr: 0.0633 (0.0851) loss_cl: -0.3675 (-0.3672) time: 0.8614 data: 0.0002 max mem: 29859 [12:21:18.732674] Epoch: [161] [220/850] eta: 0:09:13 lr: 0.002252 loss: 0.0237 (0.0249) loss_rec_all: 0.0600 (0.0611) loss_rec_sfr: 0.0686 (0.0845) loss_cl: -0.3675 (-0.3672) time: 0.8592 data: 0.0002 max mem: 29859 [12:21:36.031486] Epoch: [161] [240/850] eta: 0:08:55 lr: 0.002252 loss: 0.0240 (0.0249) loss_rec_all: 0.0603 (0.0611) loss_rec_sfr: 0.0896 (0.0848) loss_cl: -0.3675 (-0.3672) time: 0.8649 data: 0.0003 max mem: 29859 [12:21:53.233669] Epoch: [161] [260/850] eta: 0:08:36 lr: 0.002252 loss: 0.0239 (0.0249) loss_rec_all: 0.0603 (0.0610) loss_rec_sfr: 0.0665 (0.0848) loss_cl: -0.3671 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [12:22:10.482284] Epoch: [161] [280/850] eta: 0:08:18 lr: 0.002252 loss: 0.0246 (0.0249) loss_rec_all: 0.0609 (0.0611) loss_rec_sfr: 0.0936 (0.0852) loss_cl: -0.3674 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [12:22:27.700130] Epoch: [161] [300/850] eta: 0:08:00 lr: 0.002252 loss: 0.0251 (0.0250) loss_rec_all: 0.0612 (0.0612) loss_rec_sfr: 0.0937 (0.0853) loss_cl: -0.3678 (-0.3673) time: 0.8608 data: 0.0002 max mem: 29859 [12:22:44.949347] Epoch: [161] [320/850] eta: 0:07:42 lr: 0.002252 loss: 0.0252 (0.0252) loss_rec_all: 0.0614 (0.0613) loss_rec_sfr: 0.0683 (0.0849) loss_cl: -0.3674 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [12:23:02.145212] Epoch: [161] [340/850] eta: 0:07:24 lr: 0.002252 loss: 0.0278 (0.0254) loss_rec_all: 0.0636 (0.0615) loss_rec_sfr: 0.0945 (0.0853) loss_cl: -0.3670 (-0.3673) time: 0.8597 data: 0.0002 max mem: 29859 [12:23:19.417082] Epoch: [161] [360/850] eta: 0:07:07 lr: 0.002252 loss: 0.0299 (0.0257) loss_rec_all: 0.0661 (0.0618) loss_rec_sfr: 0.0799 (0.0859) loss_cl: -0.3672 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [12:23:36.669213] Epoch: [161] [380/850] eta: 0:06:49 lr: 0.002252 loss: 0.0272 (0.0258) loss_rec_all: 0.0632 (0.0619) loss_rec_sfr: 0.0728 (0.0862) loss_cl: -0.3673 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [12:23:53.913407] Epoch: [161] [400/850] eta: 0:06:31 lr: 0.002252 loss: 0.0280 (0.0259) loss_rec_all: 0.0638 (0.0621) loss_rec_sfr: 0.1044 (0.0872) loss_cl: -0.3671 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [12:24:11.120892] Epoch: [161] [420/850] eta: 0:06:14 lr: 0.002252 loss: 0.0258 (0.0260) loss_rec_all: 0.0617 (0.0621) loss_rec_sfr: 0.0953 (0.0877) loss_cl: -0.3670 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [12:24:28.393004] Epoch: [161] [440/850] eta: 0:05:56 lr: 0.002252 loss: 0.0269 (0.0261) loss_rec_all: 0.0628 (0.0622) loss_rec_sfr: 0.0939 (0.0881) loss_cl: -0.3672 (-0.3672) time: 0.8635 data: 0.0002 max mem: 29859 [12:24:45.611907] Epoch: [161] [460/850] eta: 0:05:39 lr: 0.002252 loss: 0.0245 (0.0260) loss_rec_all: 0.0606 (0.0621) loss_rec_sfr: 0.0663 (0.0878) loss_cl: -0.3674 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [12:25:02.837825] Epoch: [161] [480/850] eta: 0:05:21 lr: 0.002252 loss: 0.0257 (0.0261) loss_rec_all: 0.0614 (0.0622) loss_rec_sfr: 0.1049 (0.0884) loss_cl: -0.3674 (-0.3672) time: 0.8612 data: 0.0002 max mem: 29859 [12:25:20.059075] Epoch: [161] [500/850] eta: 0:05:04 lr: 0.002252 loss: 0.0239 (0.0260) loss_rec_all: 0.0598 (0.0621) loss_rec_sfr: 0.0713 (0.0883) loss_cl: -0.3671 (-0.3672) time: 0.8610 data: 0.0002 max mem: 29859 [12:25:37.335811] Epoch: [161] [520/850] eta: 0:04:46 lr: 0.002252 loss: 0.0253 (0.0260) loss_rec_all: 0.0614 (0.0621) loss_rec_sfr: 0.1068 (0.0888) loss_cl: -0.3676 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [12:25:54.544949] Epoch: [161] [540/850] eta: 0:04:29 lr: 0.002251 loss: 0.0251 (0.0260) loss_rec_all: 0.0612 (0.0621) loss_rec_sfr: 0.0882 (0.0888) loss_cl: -0.3678 (-0.3673) time: 0.8604 data: 0.0002 max mem: 29859 [12:26:11.781200] Epoch: [161] [560/850] eta: 0:04:11 lr: 0.002251 loss: 0.0241 (0.0260) loss_rec_all: 0.0601 (0.0621) loss_rec_sfr: 0.0687 (0.0886) loss_cl: -0.3673 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [12:26:29.048063] Epoch: [161] [580/850] eta: 0:03:54 lr: 0.002251 loss: 0.0244 (0.0259) loss_rec_all: 0.0604 (0.0620) loss_rec_sfr: 0.0741 (0.0884) loss_cl: -0.3674 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [12:26:46.278235] Epoch: [161] [600/850] eta: 0:03:36 lr: 0.002251 loss: 0.0257 (0.0259) loss_rec_all: 0.0615 (0.0620) loss_rec_sfr: 0.0878 (0.0887) loss_cl: -0.3675 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [12:27:03.492318] Epoch: [161] [620/850] eta: 0:03:19 lr: 0.002251 loss: 0.0254 (0.0259) loss_rec_all: 0.0613 (0.0620) loss_rec_sfr: 0.0884 (0.0889) loss_cl: -0.3674 (-0.3673) time: 0.8607 data: 0.0002 max mem: 29859 [12:27:20.738727] Epoch: [161] [640/850] eta: 0:03:02 lr: 0.002251 loss: 0.0257 (0.0259) loss_rec_all: 0.0614 (0.0620) loss_rec_sfr: 0.0932 (0.0890) loss_cl: -0.3669 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [12:27:37.970544] Epoch: [161] [660/850] eta: 0:02:44 lr: 0.002251 loss: 0.0247 (0.0259) loss_rec_all: 0.0609 (0.0620) loss_rec_sfr: 0.0687 (0.0890) loss_cl: -0.3670 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [12:27:55.207176] Epoch: [161] [680/850] eta: 0:02:27 lr: 0.002251 loss: 0.0241 (0.0259) loss_rec_all: 0.0603 (0.0620) loss_rec_sfr: 0.0698 (0.0890) loss_cl: -0.3667 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [12:28:12.398038] Epoch: [161] [700/850] eta: 0:02:10 lr: 0.002251 loss: 0.0240 (0.0258) loss_rec_all: 0.0600 (0.0619) loss_rec_sfr: 0.0723 (0.0891) loss_cl: -0.3672 (-0.3672) time: 0.8595 data: 0.0002 max mem: 29859 [12:28:29.744261] Epoch: [161] [720/850] eta: 0:01:52 lr: 0.002251 loss: 0.0241 (0.0258) loss_rec_all: 0.0601 (0.0619) loss_rec_sfr: 0.0898 (0.0890) loss_cl: -0.3677 (-0.3672) time: 0.8672 data: 0.0002 max mem: 29859 [12:28:46.944235] Epoch: [161] [740/850] eta: 0:01:35 lr: 0.002251 loss: 0.0254 (0.0258) loss_rec_all: 0.0616 (0.0619) loss_rec_sfr: 0.0704 (0.0892) loss_cl: -0.3678 (-0.3673) time: 0.8599 data: 0.0002 max mem: 29859 [12:29:04.209373] Epoch: [161] [760/850] eta: 0:01:18 lr: 0.002251 loss: 0.0243 (0.0258) loss_rec_all: 0.0604 (0.0619) loss_rec_sfr: 0.0706 (0.0892) loss_cl: -0.3676 (-0.3673) time: 0.8632 data: 0.0003 max mem: 29859 [12:29:21.399473] Epoch: [161] [780/850] eta: 0:01:00 lr: 0.002251 loss: 0.0255 (0.0258) loss_rec_all: 0.0615 (0.0619) loss_rec_sfr: 0.0984 (0.0893) loss_cl: -0.3672 (-0.3673) time: 0.8595 data: 0.0002 max mem: 29859 [12:29:38.668426] Epoch: [161] [800/850] eta: 0:00:43 lr: 0.002251 loss: 0.0237 (0.0258) loss_rec_all: 0.0598 (0.0619) loss_rec_sfr: 0.0936 (0.0893) loss_cl: -0.3677 (-0.3673) time: 0.8634 data: 0.0003 max mem: 29859 [12:29:55.880087] Epoch: [161] [820/850] eta: 0:00:25 lr: 0.002251 loss: 0.0250 (0.0258) loss_rec_all: 0.0613 (0.0619) loss_rec_sfr: 0.0885 (0.0893) loss_cl: -0.3675 (-0.3673) time: 0.8605 data: 0.0002 max mem: 29859 [12:30:13.126588] Epoch: [161] [840/850] eta: 0:00:08 lr: 0.002251 loss: 0.0270 (0.0259) loss_rec_all: 0.0632 (0.0620) loss_rec_sfr: 0.0741 (0.0893) loss_cl: -0.3676 (-0.3673) time: 0.8623 data: 0.0005 max mem: 29859 [12:30:20.939189] Epoch: [161] [849/850] eta: 0:00:00 lr: 0.002251 loss: 0.0267 (0.0259) loss_rec_all: 0.0628 (0.0620) loss_rec_sfr: 0.0782 (0.0892) loss_cl: -0.3676 (-0.3673) time: 0.8658 data: 0.0005 max mem: 29859 [12:30:21.101170] Epoch: [161] Total time: 0:12:16 (0.8664 s / it) [12:30:21.155031] Averaged stats: lr: 0.002251 loss: 0.0267 (0.0257) loss_rec_all: 0.0628 (0.0618) loss_rec_sfr: 0.0782 (0.0881) loss_cl: -0.3676 (-0.3672) [12:30:21.160438] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [12:30:25.590831] Epoch: [162] [ 0/850] eta: 1:02:45 lr: 0.002251 loss: 0.0289 (0.0289) loss_rec_all: 0.0646 (0.0646) loss_rec_sfr: 0.1416 (0.1416) loss_cl: -0.3668 (-0.3668) time: 4.4297 data: 3.5753 max mem: 29859 [12:30:42.749409] Epoch: [162] [ 20/850] eta: 0:14:13 lr: 0.002251 loss: 0.0260 (0.0271) loss_rec_all: 0.0621 (0.0631) loss_rec_sfr: 0.0648 (0.0919) loss_cl: -0.3672 (-0.3671) time: 0.8579 data: 0.0002 max mem: 29859 [12:31:00.022307] Epoch: [162] [ 40/850] eta: 0:12:47 lr: 0.002250 loss: 0.0253 (0.0269) loss_rec_all: 0.0614 (0.0629) loss_rec_sfr: 0.0798 (0.0918) loss_cl: -0.3671 (-0.3671) time: 0.8636 data: 0.0003 max mem: 29859 [12:31:17.323128] Epoch: [162] [ 60/850] eta: 0:12:07 lr: 0.002250 loss: 0.0256 (0.0267) loss_rec_all: 0.0618 (0.0628) loss_rec_sfr: 0.0724 (0.0894) loss_cl: -0.3671 (-0.3671) time: 0.8650 data: 0.0003 max mem: 29859 [12:31:34.704165] Epoch: [162] [ 80/850] eta: 0:11:39 lr: 0.002250 loss: 0.0247 (0.0267) loss_rec_all: 0.0610 (0.0628) loss_rec_sfr: 0.0707 (0.0873) loss_cl: -0.3672 (-0.3671) time: 0.8689 data: 0.0004 max mem: 29859 [12:31:51.916361] Epoch: [162] [100/850] eta: 0:11:13 lr: 0.002250 loss: 0.0264 (0.0266) loss_rec_all: 0.0622 (0.0627) loss_rec_sfr: 0.0714 (0.0866) loss_cl: -0.3669 (-0.3670) time: 0.8606 data: 0.0003 max mem: 29859 [12:32:09.191989] Epoch: [162] [120/850] eta: 0:10:51 lr: 0.002250 loss: 0.0252 (0.0265) loss_rec_all: 0.0610 (0.0626) loss_rec_sfr: 0.0924 (0.0875) loss_cl: -0.3670 (-0.3670) time: 0.8637 data: 0.0002 max mem: 29859 [12:32:26.652791] Epoch: [162] [140/850] eta: 0:10:31 lr: 0.002250 loss: 0.0242 (0.0263) loss_rec_all: 0.0605 (0.0624) loss_rec_sfr: 0.0709 (0.0872) loss_cl: -0.3676 (-0.3671) time: 0.8730 data: 0.0004 max mem: 29859 [12:32:43.919067] Epoch: [162] [160/850] eta: 0:10:11 lr: 0.002250 loss: 0.0245 (0.0261) loss_rec_all: 0.0604 (0.0622) loss_rec_sfr: 0.0720 (0.0869) loss_cl: -0.3677 (-0.3671) time: 0.8633 data: 0.0003 max mem: 29859 [12:33:01.208328] Epoch: [162] [180/850] eta: 0:09:52 lr: 0.002250 loss: 0.0232 (0.0259) loss_rec_all: 0.0595 (0.0620) loss_rec_sfr: 0.0903 (0.0872) loss_cl: -0.3681 (-0.3672) time: 0.8644 data: 0.0005 max mem: 29859 [12:33:18.892382] Epoch: [162] [200/850] eta: 0:09:34 lr: 0.002250 loss: 0.0250 (0.0258) loss_rec_all: 0.0612 (0.0619) loss_rec_sfr: 0.0699 (0.0872) loss_cl: -0.3678 (-0.3673) time: 0.8841 data: 0.0006 max mem: 29859 [12:33:36.161709] Epoch: [162] [220/850] eta: 0:09:15 lr: 0.002250 loss: 0.0223 (0.0255) loss_rec_all: 0.0586 (0.0617) loss_rec_sfr: 0.0600 (0.0856) loss_cl: -0.3680 (-0.3673) time: 0.8634 data: 0.0004 max mem: 29859 [12:33:53.446767] Epoch: [162] [240/850] eta: 0:08:57 lr: 0.002250 loss: 0.0238 (0.0255) loss_rec_all: 0.0598 (0.0616) loss_rec_sfr: 0.0980 (0.0869) loss_cl: -0.3670 (-0.3673) time: 0.8642 data: 0.0003 max mem: 29859 [12:34:10.794351] Epoch: [162] [260/850] eta: 0:08:39 lr: 0.002250 loss: 0.0237 (0.0254) loss_rec_all: 0.0597 (0.0615) loss_rec_sfr: 0.0937 (0.0870) loss_cl: -0.3665 (-0.3672) time: 0.8673 data: 0.0004 max mem: 29859 [12:34:28.263795] Epoch: [162] [280/850] eta: 0:08:21 lr: 0.002250 loss: 0.0241 (0.0254) loss_rec_all: 0.0603 (0.0615) loss_rec_sfr: 0.0689 (0.0870) loss_cl: -0.3669 (-0.3672) time: 0.8734 data: 0.0003 max mem: 29859 [12:34:45.488844] Epoch: [162] [300/850] eta: 0:08:02 lr: 0.002250 loss: 0.0254 (0.0254) loss_rec_all: 0.0613 (0.0615) loss_rec_sfr: 0.1101 (0.0882) loss_cl: -0.3672 (-0.3672) time: 0.8612 data: 0.0003 max mem: 29859 [12:35:02.875107] Epoch: [162] [320/850] eta: 0:07:45 lr: 0.002250 loss: 0.0247 (0.0254) loss_rec_all: 0.0609 (0.0615) loss_rec_sfr: 0.0711 (0.0884) loss_cl: -0.3676 (-0.3672) time: 0.8692 data: 0.0005 max mem: 29859 [12:35:20.166114] Epoch: [162] [340/850] eta: 0:07:27 lr: 0.002250 loss: 0.0239 (0.0253) loss_rec_all: 0.0599 (0.0614) loss_rec_sfr: 0.0771 (0.0884) loss_cl: -0.3676 (-0.3673) time: 0.8645 data: 0.0003 max mem: 29859 [12:35:37.420673] Epoch: [162] [360/850] eta: 0:07:09 lr: 0.002250 loss: 0.0250 (0.0253) loss_rec_all: 0.0612 (0.0614) loss_rec_sfr: 0.0704 (0.0884) loss_cl: -0.3674 (-0.3673) time: 0.8627 data: 0.0003 max mem: 29859 [12:35:54.663625] Epoch: [162] [380/850] eta: 0:06:51 lr: 0.002250 loss: 0.0257 (0.0254) loss_rec_all: 0.0615 (0.0615) loss_rec_sfr: 0.0984 (0.0890) loss_cl: -0.3673 (-0.3673) time: 0.8621 data: 0.0003 max mem: 29859 [12:36:11.947069] Epoch: [162] [400/850] eta: 0:06:33 lr: 0.002249 loss: 0.0239 (0.0253) loss_rec_all: 0.0602 (0.0614) loss_rec_sfr: 0.0698 (0.0891) loss_cl: -0.3670 (-0.3672) time: 0.8641 data: 0.0003 max mem: 29859 [12:36:29.188404] Epoch: [162] [420/850] eta: 0:06:15 lr: 0.002249 loss: 0.0256 (0.0254) loss_rec_all: 0.0615 (0.0615) loss_rec_sfr: 0.0778 (0.0890) loss_cl: -0.3672 (-0.3672) time: 0.8620 data: 0.0003 max mem: 29859 [12:36:46.450791] Epoch: [162] [440/850] eta: 0:05:58 lr: 0.002249 loss: 0.0246 (0.0254) loss_rec_all: 0.0606 (0.0615) loss_rec_sfr: 0.0673 (0.0888) loss_cl: -0.3671 (-0.3672) time: 0.8631 data: 0.0003 max mem: 29859 [12:37:03.684847] Epoch: [162] [460/850] eta: 0:05:40 lr: 0.002249 loss: 0.0250 (0.0254) loss_rec_all: 0.0613 (0.0615) loss_rec_sfr: 0.0655 (0.0882) loss_cl: -0.3674 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [12:37:21.022400] Epoch: [162] [480/850] eta: 0:05:22 lr: 0.002249 loss: 0.0263 (0.0255) loss_rec_all: 0.0625 (0.0616) loss_rec_sfr: 0.0726 (0.0881) loss_cl: -0.3669 (-0.3672) time: 0.8668 data: 0.0003 max mem: 29859 [12:37:38.259821] Epoch: [162] [500/850] eta: 0:05:05 lr: 0.002249 loss: 0.0263 (0.0255) loss_rec_all: 0.0625 (0.0616) loss_rec_sfr: 0.0923 (0.0883) loss_cl: -0.3669 (-0.3672) time: 0.8618 data: 0.0003 max mem: 29859 [12:37:55.539418] Epoch: [162] [520/850] eta: 0:04:47 lr: 0.002249 loss: 0.0258 (0.0255) loss_rec_all: 0.0616 (0.0616) loss_rec_sfr: 0.0933 (0.0886) loss_cl: -0.3674 (-0.3672) time: 0.8639 data: 0.0003 max mem: 29859 [12:38:12.793608] Epoch: [162] [540/850] eta: 0:04:30 lr: 0.002249 loss: 0.0255 (0.0255) loss_rec_all: 0.0615 (0.0616) loss_rec_sfr: 0.0860 (0.0887) loss_cl: -0.3677 (-0.3672) time: 0.8627 data: 0.0003 max mem: 29859 [12:38:30.099424] Epoch: [162] [560/850] eta: 0:04:12 lr: 0.002249 loss: 0.0236 (0.0255) loss_rec_all: 0.0596 (0.0616) loss_rec_sfr: 0.0693 (0.0885) loss_cl: -0.3680 (-0.3673) time: 0.8652 data: 0.0003 max mem: 29859 [12:38:47.310246] Epoch: [162] [580/850] eta: 0:03:55 lr: 0.002249 loss: 0.0218 (0.0255) loss_rec_all: 0.0582 (0.0616) loss_rec_sfr: 0.0600 (0.0879) loss_cl: -0.3680 (-0.3673) time: 0.8605 data: 0.0002 max mem: 29859 [12:39:04.600713] Epoch: [162] [600/850] eta: 0:03:37 lr: 0.002249 loss: 0.0234 (0.0254) loss_rec_all: 0.0596 (0.0615) loss_rec_sfr: 0.0683 (0.0878) loss_cl: -0.3675 (-0.3673) time: 0.8644 data: 0.0003 max mem: 29859 [12:39:21.849971] Epoch: [162] [620/850] eta: 0:03:20 lr: 0.002249 loss: 0.0242 (0.0254) loss_rec_all: 0.0602 (0.0615) loss_rec_sfr: 0.0718 (0.0877) loss_cl: -0.3671 (-0.3673) time: 0.8624 data: 0.0003 max mem: 29859 [12:39:39.095975] Epoch: [162] [640/850] eta: 0:03:02 lr: 0.002249 loss: 0.0248 (0.0254) loss_rec_all: 0.0610 (0.0615) loss_rec_sfr: 0.0733 (0.0878) loss_cl: -0.3668 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [12:39:56.358894] Epoch: [162] [660/850] eta: 0:02:45 lr: 0.002249 loss: 0.0252 (0.0254) loss_rec_all: 0.0612 (0.0616) loss_rec_sfr: 0.0948 (0.0881) loss_cl: -0.3669 (-0.3673) time: 0.8631 data: 0.0003 max mem: 29859 [12:40:13.634567] Epoch: [162] [680/850] eta: 0:02:27 lr: 0.002249 loss: 0.0242 (0.0254) loss_rec_all: 0.0601 (0.0615) loss_rec_sfr: 0.0914 (0.0882) loss_cl: -0.3671 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [12:40:30.867551] Epoch: [162] [700/850] eta: 0:02:10 lr: 0.002249 loss: 0.0241 (0.0254) loss_rec_all: 0.0601 (0.0615) loss_rec_sfr: 0.0928 (0.0884) loss_cl: -0.3673 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [12:40:48.123927] Epoch: [162] [720/850] eta: 0:01:53 lr: 0.002249 loss: 0.0238 (0.0254) loss_rec_all: 0.0602 (0.0615) loss_rec_sfr: 0.0710 (0.0884) loss_cl: -0.3674 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [12:41:05.357652] Epoch: [162] [740/850] eta: 0:01:35 lr: 0.002249 loss: 0.0247 (0.0254) loss_rec_all: 0.0608 (0.0615) loss_rec_sfr: 0.0882 (0.0885) loss_cl: -0.3679 (-0.3673) time: 0.8616 data: 0.0003 max mem: 29859 [12:41:22.635967] Epoch: [162] [760/850] eta: 0:01:18 lr: 0.002248 loss: 0.0269 (0.0255) loss_rec_all: 0.0633 (0.0616) loss_rec_sfr: 0.0713 (0.0883) loss_cl: -0.3681 (-0.3673) time: 0.8639 data: 0.0003 max mem: 29859 [12:41:39.845086] Epoch: [162] [780/850] eta: 0:01:00 lr: 0.002248 loss: 0.0290 (0.0256) loss_rec_all: 0.0650 (0.0617) loss_rec_sfr: 0.0839 (0.0886) loss_cl: -0.3671 (-0.3673) time: 0.8604 data: 0.0002 max mem: 29859 [12:41:57.193216] Epoch: [162] [800/850] eta: 0:00:43 lr: 0.002248 loss: 0.0263 (0.0256) loss_rec_all: 0.0624 (0.0617) loss_rec_sfr: 0.0752 (0.0885) loss_cl: -0.3666 (-0.3673) time: 0.8674 data: 0.0003 max mem: 29859 [12:42:14.409682] Epoch: [162] [820/850] eta: 0:00:26 lr: 0.002248 loss: 0.0292 (0.0257) loss_rec_all: 0.0650 (0.0618) loss_rec_sfr: 0.0800 (0.0887) loss_cl: -0.3667 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [12:42:31.719676] Epoch: [162] [840/850] eta: 0:00:08 lr: 0.002248 loss: 0.0280 (0.0258) loss_rec_all: 0.0641 (0.0619) loss_rec_sfr: 0.0759 (0.0888) loss_cl: -0.3669 (-0.3672) time: 0.8655 data: 0.0020 max mem: 29859 [12:42:39.465467] Epoch: [162] [849/850] eta: 0:00:00 lr: 0.002248 loss: 0.0275 (0.0258) loss_rec_all: 0.0632 (0.0619) loss_rec_sfr: 0.0734 (0.0887) loss_cl: -0.3671 (-0.3672) time: 0.8653 data: 0.0019 max mem: 29859 [12:42:39.650119] Epoch: [162] Total time: 0:12:18 (0.8688 s / it) [12:42:39.654696] Averaged stats: lr: 0.002248 loss: 0.0275 (0.0259) loss_rec_all: 0.0632 (0.0620) loss_rec_sfr: 0.0734 (0.0892) loss_cl: -0.3671 (-0.3672) [12:42:39.666678] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [12:42:43.824878] Epoch: [163] [ 0/850] eta: 0:58:53 lr: 0.002248 loss: 0.0344 (0.0344) loss_rec_all: 0.0704 (0.0704) loss_rec_sfr: 0.0988 (0.0988) loss_cl: -0.3671 (-0.3671) time: 4.1574 data: 3.1718 max mem: 29859 [12:43:01.078564] Epoch: [163] [ 20/850] eta: 0:14:06 lr: 0.002248 loss: 0.0245 (0.0254) loss_rec_all: 0.0606 (0.0615) loss_rec_sfr: 0.0698 (0.0845) loss_cl: -0.3669 (-0.3671) time: 0.8626 data: 0.0003 max mem: 29859 [12:43:18.339287] Epoch: [163] [ 40/850] eta: 0:12:43 lr: 0.002248 loss: 0.0239 (0.0250) loss_rec_all: 0.0601 (0.0611) loss_rec_sfr: 0.0689 (0.0839) loss_cl: -0.3671 (-0.3670) time: 0.8630 data: 0.0002 max mem: 29859 [12:43:35.539225] Epoch: [163] [ 60/850] eta: 0:12:03 lr: 0.002248 loss: 0.0240 (0.0251) loss_rec_all: 0.0603 (0.0612) loss_rec_sfr: 0.0678 (0.0836) loss_cl: -0.3675 (-0.3672) time: 0.8599 data: 0.0002 max mem: 29859 [12:43:52.839510] Epoch: [163] [ 80/850] eta: 0:11:35 lr: 0.002248 loss: 0.0239 (0.0249) loss_rec_all: 0.0602 (0.0611) loss_rec_sfr: 0.0628 (0.0836) loss_cl: -0.3675 (-0.3672) time: 0.8650 data: 0.0003 max mem: 29859 [12:44:10.046899] Epoch: [163] [100/850] eta: 0:11:11 lr: 0.002248 loss: 0.0237 (0.0247) loss_rec_all: 0.0598 (0.0608) loss_rec_sfr: 0.0674 (0.0827) loss_cl: -0.3672 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [12:44:27.310504] Epoch: [163] [120/850] eta: 0:10:49 lr: 0.002248 loss: 0.0249 (0.0248) loss_rec_all: 0.0612 (0.0609) loss_rec_sfr: 0.0715 (0.0831) loss_cl: -0.3676 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [12:44:44.547658] Epoch: [163] [140/850] eta: 0:10:28 lr: 0.002248 loss: 0.0235 (0.0246) loss_rec_all: 0.0599 (0.0608) loss_rec_sfr: 0.0657 (0.0828) loss_cl: -0.3679 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [12:45:01.819031] Epoch: [163] [160/850] eta: 0:10:09 lr: 0.002248 loss: 0.0238 (0.0246) loss_rec_all: 0.0598 (0.0607) loss_rec_sfr: 0.0643 (0.0828) loss_cl: -0.3682 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [12:45:19.057575] Epoch: [163] [180/850] eta: 0:09:49 lr: 0.002248 loss: 0.0244 (0.0246) loss_rec_all: 0.0607 (0.0608) loss_rec_sfr: 0.0657 (0.0825) loss_cl: -0.3677 (-0.3675) time: 0.8619 data: 0.0002 max mem: 29859 [12:45:36.308903] Epoch: [163] [200/850] eta: 0:09:31 lr: 0.002248 loss: 0.0252 (0.0248) loss_rec_all: 0.0611 (0.0609) loss_rec_sfr: 0.0904 (0.0835) loss_cl: -0.3669 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [12:45:53.593983] Epoch: [163] [220/850] eta: 0:09:12 lr: 0.002248 loss: 0.0255 (0.0249) loss_rec_all: 0.0614 (0.0610) loss_rec_sfr: 0.0967 (0.0847) loss_cl: -0.3667 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [12:46:10.848283] Epoch: [163] [240/850] eta: 0:08:54 lr: 0.002248 loss: 0.0255 (0.0250) loss_rec_all: 0.0617 (0.0611) loss_rec_sfr: 0.0653 (0.0849) loss_cl: -0.3673 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [12:46:28.053293] Epoch: [163] [260/850] eta: 0:08:36 lr: 0.002247 loss: 0.0257 (0.0252) loss_rec_all: 0.0620 (0.0613) loss_rec_sfr: 0.0704 (0.0847) loss_cl: -0.3677 (-0.3673) time: 0.8602 data: 0.0002 max mem: 29859 [12:46:45.406888] Epoch: [163] [280/850] eta: 0:08:18 lr: 0.002247 loss: 0.0250 (0.0253) loss_rec_all: 0.0613 (0.0614) loss_rec_sfr: 0.0660 (0.0845) loss_cl: -0.3679 (-0.3674) time: 0.8676 data: 0.0003 max mem: 29859 [12:47:02.615710] Epoch: [163] [300/850] eta: 0:08:00 lr: 0.002247 loss: 0.0260 (0.0254) loss_rec_all: 0.0623 (0.0615) loss_rec_sfr: 0.0925 (0.0853) loss_cl: -0.3677 (-0.3674) time: 0.8604 data: 0.0002 max mem: 29859 [12:47:19.901724] Epoch: [163] [320/850] eta: 0:07:42 lr: 0.002247 loss: 0.0242 (0.0253) loss_rec_all: 0.0602 (0.0615) loss_rec_sfr: 0.0648 (0.0848) loss_cl: -0.3674 (-0.3674) time: 0.8642 data: 0.0002 max mem: 29859 [12:47:37.147245] Epoch: [163] [340/850] eta: 0:07:24 lr: 0.002247 loss: 0.0245 (0.0253) loss_rec_all: 0.0604 (0.0614) loss_rec_sfr: 0.0732 (0.0848) loss_cl: -0.3668 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [12:47:54.419632] Epoch: [163] [360/850] eta: 0:07:07 lr: 0.002247 loss: 0.0249 (0.0252) loss_rec_all: 0.0609 (0.0614) loss_rec_sfr: 0.0970 (0.0854) loss_cl: -0.3664 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [12:48:11.635178] Epoch: [163] [380/850] eta: 0:06:49 lr: 0.002247 loss: 0.0236 (0.0252) loss_rec_all: 0.0598 (0.0613) loss_rec_sfr: 0.0683 (0.0847) loss_cl: -0.3666 (-0.3673) time: 0.8607 data: 0.0002 max mem: 29859 [12:48:28.938573] Epoch: [163] [400/850] eta: 0:06:31 lr: 0.002247 loss: 0.0235 (0.0251) loss_rec_all: 0.0598 (0.0613) loss_rec_sfr: 0.0686 (0.0847) loss_cl: -0.3675 (-0.3673) time: 0.8651 data: 0.0002 max mem: 29859 [12:48:46.195186] Epoch: [163] [420/850] eta: 0:06:14 lr: 0.002247 loss: 0.0245 (0.0251) loss_rec_all: 0.0605 (0.0613) loss_rec_sfr: 0.0928 (0.0852) loss_cl: -0.3683 (-0.3673) time: 0.8627 data: 0.0003 max mem: 29859 [12:49:03.445572] Epoch: [163] [440/850] eta: 0:05:56 lr: 0.002247 loss: 0.0243 (0.0252) loss_rec_all: 0.0607 (0.0613) loss_rec_sfr: 0.0681 (0.0850) loss_cl: -0.3686 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [12:49:20.693096] Epoch: [163] [460/850] eta: 0:05:39 lr: 0.002247 loss: 0.0270 (0.0253) loss_rec_all: 0.0633 (0.0614) loss_rec_sfr: 0.0960 (0.0853) loss_cl: -0.3679 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [12:49:37.991299] Epoch: [163] [480/850] eta: 0:05:21 lr: 0.002247 loss: 0.0254 (0.0253) loss_rec_all: 0.0617 (0.0615) loss_rec_sfr: 0.0729 (0.0854) loss_cl: -0.3669 (-0.3674) time: 0.8649 data: 0.0002 max mem: 29859 [12:49:55.203795] Epoch: [163] [500/850] eta: 0:05:04 lr: 0.002247 loss: 0.0247 (0.0254) loss_rec_all: 0.0605 (0.0615) loss_rec_sfr: 0.0966 (0.0858) loss_cl: -0.3664 (-0.3674) time: 0.8606 data: 0.0002 max mem: 29859 [12:50:12.480230] Epoch: [163] [520/850] eta: 0:04:46 lr: 0.002247 loss: 0.0247 (0.0254) loss_rec_all: 0.0607 (0.0615) loss_rec_sfr: 0.0990 (0.0860) loss_cl: -0.3664 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [12:50:29.717285] Epoch: [163] [540/850] eta: 0:04:29 lr: 0.002247 loss: 0.0247 (0.0254) loss_rec_all: 0.0608 (0.0615) loss_rec_sfr: 0.0701 (0.0858) loss_cl: -0.3671 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [12:50:46.981129] Epoch: [163] [560/850] eta: 0:04:11 lr: 0.002247 loss: 0.0245 (0.0254) loss_rec_all: 0.0609 (0.0615) loss_rec_sfr: 0.0728 (0.0859) loss_cl: -0.3675 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [12:51:04.195924] Epoch: [163] [580/850] eta: 0:03:54 lr: 0.002247 loss: 0.0248 (0.0254) loss_rec_all: 0.0611 (0.0615) loss_rec_sfr: 0.0740 (0.0860) loss_cl: -0.3677 (-0.3673) time: 0.8607 data: 0.0002 max mem: 29859 [12:51:21.513006] Epoch: [163] [600/850] eta: 0:03:37 lr: 0.002246 loss: 0.0243 (0.0254) loss_rec_all: 0.0604 (0.0615) loss_rec_sfr: 0.0856 (0.0861) loss_cl: -0.3681 (-0.3673) time: 0.8658 data: 0.0003 max mem: 29859 [12:51:38.715328] Epoch: [163] [620/850] eta: 0:03:19 lr: 0.002246 loss: 0.0251 (0.0254) loss_rec_all: 0.0612 (0.0615) loss_rec_sfr: 0.0918 (0.0862) loss_cl: -0.3681 (-0.3674) time: 0.8601 data: 0.0002 max mem: 29859 [12:51:55.980160] Epoch: [163] [640/850] eta: 0:03:02 lr: 0.002246 loss: 0.0257 (0.0254) loss_rec_all: 0.0616 (0.0615) loss_rec_sfr: 0.0937 (0.0866) loss_cl: -0.3675 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [12:52:13.236097] Epoch: [163] [660/850] eta: 0:02:44 lr: 0.002246 loss: 0.0227 (0.0254) loss_rec_all: 0.0590 (0.0615) loss_rec_sfr: 0.0728 (0.0864) loss_cl: -0.3673 (-0.3674) time: 0.8627 data: 0.0003 max mem: 29859 [12:52:30.490134] Epoch: [163] [680/850] eta: 0:02:27 lr: 0.002246 loss: 0.0245 (0.0253) loss_rec_all: 0.0605 (0.0615) loss_rec_sfr: 0.0853 (0.0864) loss_cl: -0.3671 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [12:52:47.722570] Epoch: [163] [700/850] eta: 0:02:10 lr: 0.002246 loss: 0.0232 (0.0253) loss_rec_all: 0.0594 (0.0614) loss_rec_sfr: 0.0658 (0.0862) loss_cl: -0.3671 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [12:53:05.000641] Epoch: [163] [720/850] eta: 0:01:52 lr: 0.002246 loss: 0.0240 (0.0253) loss_rec_all: 0.0599 (0.0614) loss_rec_sfr: 0.0979 (0.0866) loss_cl: -0.3671 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [12:53:22.218910] Epoch: [163] [740/850] eta: 0:01:35 lr: 0.002246 loss: 0.0250 (0.0253) loss_rec_all: 0.0609 (0.0614) loss_rec_sfr: 0.1020 (0.0871) loss_cl: -0.3672 (-0.3673) time: 0.8608 data: 0.0002 max mem: 29859 [12:53:39.463463] Epoch: [163] [760/850] eta: 0:01:18 lr: 0.002246 loss: 0.0256 (0.0253) loss_rec_all: 0.0614 (0.0614) loss_rec_sfr: 0.0904 (0.0874) loss_cl: -0.3673 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [12:53:56.725198] Epoch: [163] [780/850] eta: 0:01:00 lr: 0.002246 loss: 0.0259 (0.0253) loss_rec_all: 0.0617 (0.0615) loss_rec_sfr: 0.0887 (0.0876) loss_cl: -0.3673 (-0.3673) time: 0.8630 data: 0.0003 max mem: 29859 [12:54:13.983224] Epoch: [163] [800/850] eta: 0:00:43 lr: 0.002246 loss: 0.0255 (0.0254) loss_rec_all: 0.0615 (0.0615) loss_rec_sfr: 0.0714 (0.0874) loss_cl: -0.3673 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [12:54:31.190258] Epoch: [163] [820/850] eta: 0:00:25 lr: 0.002246 loss: 0.0252 (0.0253) loss_rec_all: 0.0609 (0.0615) loss_rec_sfr: 0.0945 (0.0876) loss_cl: -0.3677 (-0.3673) time: 0.8603 data: 0.0002 max mem: 29859 [12:54:48.469668] Epoch: [163] [840/850] eta: 0:00:08 lr: 0.002246 loss: 0.0246 (0.0254) loss_rec_all: 0.0609 (0.0615) loss_rec_sfr: 0.0773 (0.0877) loss_cl: -0.3675 (-0.3673) time: 0.8639 data: 0.0007 max mem: 29859 [12:54:56.243369] Epoch: [163] [849/850] eta: 0:00:00 lr: 0.002246 loss: 0.0260 (0.0254) loss_rec_all: 0.0621 (0.0615) loss_rec_sfr: 0.0764 (0.0878) loss_cl: -0.3675 (-0.3673) time: 0.8640 data: 0.0006 max mem: 29859 [12:54:56.391169] Epoch: [163] Total time: 0:12:16 (0.8667 s / it) [12:54:56.397249] Averaged stats: lr: 0.002246 loss: 0.0260 (0.0254) loss_rec_all: 0.0621 (0.0615) loss_rec_sfr: 0.0764 (0.0881) loss_cl: -0.3675 (-0.3673) [12:54:56.410612] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [12:55:01.069237] Epoch: [164] [ 0/850] eta: 1:05:59 lr: 0.002246 loss: 0.0242 (0.0242) loss_rec_all: 0.0604 (0.0604) loss_rec_sfr: 0.0641 (0.0641) loss_cl: -0.3672 (-0.3672) time: 4.6578 data: 3.1419 max mem: 29859 [12:55:18.249493] Epoch: [164] [ 20/850] eta: 0:14:23 lr: 0.002246 loss: 0.0243 (0.0252) loss_rec_all: 0.0605 (0.0613) loss_rec_sfr: 0.0676 (0.0830) loss_cl: -0.3672 (-0.3672) time: 0.8590 data: 0.0002 max mem: 29859 [12:55:35.533235] Epoch: [164] [ 40/850] eta: 0:12:52 lr: 0.002246 loss: 0.0240 (0.0251) loss_rec_all: 0.0603 (0.0612) loss_rec_sfr: 0.0654 (0.0838) loss_cl: -0.3671 (-0.3671) time: 0.8641 data: 0.0003 max mem: 29859 [12:55:52.773608] Epoch: [164] [ 60/850] eta: 0:12:09 lr: 0.002246 loss: 0.0243 (0.0252) loss_rec_all: 0.0604 (0.0613) loss_rec_sfr: 0.0750 (0.0847) loss_cl: -0.3670 (-0.3671) time: 0.8620 data: 0.0002 max mem: 29859 [12:56:10.057200] Epoch: [164] [ 80/850] eta: 0:11:40 lr: 0.002246 loss: 0.0232 (0.0247) loss_rec_all: 0.0593 (0.0608) loss_rec_sfr: 0.0692 (0.0830) loss_cl: -0.3671 (-0.3671) time: 0.8641 data: 0.0003 max mem: 29859 [12:56:27.279457] Epoch: [164] [100/850] eta: 0:11:14 lr: 0.002246 loss: 0.0236 (0.0247) loss_rec_all: 0.0600 (0.0608) loss_rec_sfr: 0.0865 (0.0834) loss_cl: -0.3677 (-0.3672) time: 0.8611 data: 0.0002 max mem: 29859 [12:56:44.585290] Epoch: [164] [120/850] eta: 0:10:52 lr: 0.002245 loss: 0.0237 (0.0246) loss_rec_all: 0.0600 (0.0607) loss_rec_sfr: 0.0843 (0.0840) loss_cl: -0.3675 (-0.3672) time: 0.8652 data: 0.0002 max mem: 29859 [12:57:01.972017] Epoch: [164] [140/850] eta: 0:10:32 lr: 0.002245 loss: 0.0224 (0.0246) loss_rec_all: 0.0588 (0.0607) loss_rec_sfr: 0.0747 (0.0832) loss_cl: -0.3671 (-0.3672) time: 0.8692 data: 0.0003 max mem: 29859 [12:57:19.273319] Epoch: [164] [160/850] eta: 0:10:12 lr: 0.002245 loss: 0.0231 (0.0244) loss_rec_all: 0.0595 (0.0606) loss_rec_sfr: 0.0612 (0.0824) loss_cl: -0.3678 (-0.3673) time: 0.8650 data: 0.0003 max mem: 29859 [12:57:36.481547] Epoch: [164] [180/850] eta: 0:09:52 lr: 0.002245 loss: 0.0232 (0.0243) loss_rec_all: 0.0595 (0.0605) loss_rec_sfr: 0.0681 (0.0821) loss_cl: -0.3676 (-0.3673) time: 0.8604 data: 0.0002 max mem: 29859 [12:57:54.070508] Epoch: [164] [200/850] eta: 0:09:34 lr: 0.002245 loss: 0.0228 (0.0242) loss_rec_all: 0.0591 (0.0604) loss_rec_sfr: 0.0614 (0.0819) loss_cl: -0.3678 (-0.3674) time: 0.8793 data: 0.0002 max mem: 29859 [12:58:11.844839] Epoch: [164] [220/850] eta: 0:09:17 lr: 0.002245 loss: 0.0225 (0.0241) loss_rec_all: 0.0588 (0.0602) loss_rec_sfr: 0.0648 (0.0816) loss_cl: -0.3673 (-0.3674) time: 0.8886 data: 0.0004 max mem: 29859 [12:58:29.570504] Epoch: [164] [240/850] eta: 0:08:59 lr: 0.002245 loss: 0.0223 (0.0240) loss_rec_all: 0.0585 (0.0602) loss_rec_sfr: 0.0611 (0.0809) loss_cl: -0.3669 (-0.3673) time: 0.8862 data: 0.0006 max mem: 29859 [12:58:46.891993] Epoch: [164] [260/850] eta: 0:08:40 lr: 0.002245 loss: 0.0243 (0.0241) loss_rec_all: 0.0605 (0.0602) loss_rec_sfr: 0.0989 (0.0821) loss_cl: -0.3668 (-0.3673) time: 0.8660 data: 0.0002 max mem: 29859 [12:59:04.320130] Epoch: [164] [280/850] eta: 0:08:22 lr: 0.002245 loss: 0.0294 (0.0246) loss_rec_all: 0.0653 (0.0607) loss_rec_sfr: 0.0998 (0.0834) loss_cl: -0.3668 (-0.3672) time: 0.8713 data: 0.0003 max mem: 29859 [12:59:21.735889] Epoch: [164] [300/850] eta: 0:08:04 lr: 0.002245 loss: 0.0282 (0.0249) loss_rec_all: 0.0642 (0.0611) loss_rec_sfr: 0.0976 (0.0839) loss_cl: -0.3674 (-0.3672) time: 0.8707 data: 0.0004 max mem: 29859 [12:59:39.267071] Epoch: [164] [320/850] eta: 0:07:46 lr: 0.002245 loss: 0.0268 (0.0251) loss_rec_all: 0.0629 (0.0613) loss_rec_sfr: 0.0687 (0.0838) loss_cl: -0.3672 (-0.3672) time: 0.8765 data: 0.0003 max mem: 29859 [12:59:56.619042] Epoch: [164] [340/850] eta: 0:07:28 lr: 0.002245 loss: 0.0278 (0.0253) loss_rec_all: 0.0639 (0.0614) loss_rec_sfr: 0.1051 (0.0849) loss_cl: -0.3673 (-0.3672) time: 0.8675 data: 0.0003 max mem: 29859 [13:00:13.965293] Epoch: [164] [360/850] eta: 0:07:10 lr: 0.002245 loss: 0.0273 (0.0254) loss_rec_all: 0.0634 (0.0615) loss_rec_sfr: 0.1097 (0.0859) loss_cl: -0.3673 (-0.3673) time: 0.8672 data: 0.0003 max mem: 29859 [13:00:31.326675] Epoch: [164] [380/850] eta: 0:06:53 lr: 0.002245 loss: 0.0252 (0.0255) loss_rec_all: 0.0613 (0.0616) loss_rec_sfr: 0.0958 (0.0864) loss_cl: -0.3674 (-0.3672) time: 0.8680 data: 0.0003 max mem: 29859 [13:00:49.009005] Epoch: [164] [400/850] eta: 0:06:35 lr: 0.002245 loss: 0.0260 (0.0256) loss_rec_all: 0.0618 (0.0617) loss_rec_sfr: 0.0946 (0.0867) loss_cl: -0.3668 (-0.3672) time: 0.8840 data: 0.0006 max mem: 29859 [13:01:06.368006] Epoch: [164] [420/850] eta: 0:06:17 lr: 0.002245 loss: 0.0249 (0.0256) loss_rec_all: 0.0609 (0.0617) loss_rec_sfr: 0.0936 (0.0869) loss_cl: -0.3673 (-0.3672) time: 0.8679 data: 0.0004 max mem: 29859 [13:01:23.731539] Epoch: [164] [440/850] eta: 0:06:00 lr: 0.002245 loss: 0.0235 (0.0255) loss_rec_all: 0.0598 (0.0617) loss_rec_sfr: 0.0673 (0.0867) loss_cl: -0.3679 (-0.3672) time: 0.8681 data: 0.0003 max mem: 29859 [13:01:41.410960] Epoch: [164] [460/850] eta: 0:05:42 lr: 0.002244 loss: 0.0253 (0.0255) loss_rec_all: 0.0612 (0.0616) loss_rec_sfr: 0.1003 (0.0872) loss_cl: -0.3681 (-0.3673) time: 0.8839 data: 0.0006 max mem: 29859 [13:01:59.029285] Epoch: [164] [480/850] eta: 0:05:25 lr: 0.002244 loss: 0.0230 (0.0255) loss_rec_all: 0.0592 (0.0616) loss_rec_sfr: 0.0640 (0.0868) loss_cl: -0.3681 (-0.3673) time: 0.8808 data: 0.0005 max mem: 29859 [13:02:16.347953] Epoch: [164] [500/850] eta: 0:05:07 lr: 0.002244 loss: 0.0246 (0.0255) loss_rec_all: 0.0605 (0.0616) loss_rec_sfr: 0.0928 (0.0871) loss_cl: -0.3674 (-0.3673) time: 0.8659 data: 0.0003 max mem: 29859 [13:02:33.782853] Epoch: [164] [520/850] eta: 0:04:49 lr: 0.002244 loss: 0.0236 (0.0254) loss_rec_all: 0.0599 (0.0616) loss_rec_sfr: 0.0615 (0.0869) loss_cl: -0.3670 (-0.3673) time: 0.8716 data: 0.0003 max mem: 29859 [13:02:51.387577] Epoch: [164] [540/850] eta: 0:04:32 lr: 0.002244 loss: 0.0234 (0.0254) loss_rec_all: 0.0593 (0.0615) loss_rec_sfr: 0.0993 (0.0873) loss_cl: -0.3668 (-0.3673) time: 0.8801 data: 0.0005 max mem: 29859 [13:03:08.649513] Epoch: [164] [560/850] eta: 0:04:14 lr: 0.002244 loss: 0.0258 (0.0254) loss_rec_all: 0.0618 (0.0615) loss_rec_sfr: 0.0944 (0.0878) loss_cl: -0.3665 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [13:03:25.899897] Epoch: [164] [580/850] eta: 0:03:56 lr: 0.002244 loss: 0.0285 (0.0255) loss_rec_all: 0.0641 (0.0616) loss_rec_sfr: 0.0924 (0.0888) loss_cl: -0.3665 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [13:03:43.266295] Epoch: [164] [600/850] eta: 0:03:39 lr: 0.002244 loss: 0.0251 (0.0255) loss_rec_all: 0.0610 (0.0616) loss_rec_sfr: 0.0969 (0.0892) loss_cl: -0.3670 (-0.3672) time: 0.8683 data: 0.0003 max mem: 29859 [13:04:00.565468] Epoch: [164] [620/850] eta: 0:03:21 lr: 0.002244 loss: 0.0247 (0.0255) loss_rec_all: 0.0610 (0.0616) loss_rec_sfr: 0.0700 (0.0892) loss_cl: -0.3674 (-0.3672) time: 0.8649 data: 0.0003 max mem: 29859 [13:04:18.085891] Epoch: [164] [640/850] eta: 0:03:03 lr: 0.002244 loss: 0.0244 (0.0255) loss_rec_all: 0.0607 (0.0616) loss_rec_sfr: 0.0752 (0.0891) loss_cl: -0.3667 (-0.3672) time: 0.8758 data: 0.0004 max mem: 29859 [13:04:35.595421] Epoch: [164] [660/850] eta: 0:02:46 lr: 0.002244 loss: 0.0260 (0.0256) loss_rec_all: 0.0620 (0.0616) loss_rec_sfr: 0.1159 (0.0896) loss_cl: -0.3675 (-0.3672) time: 0.8753 data: 0.0004 max mem: 29859 [13:04:52.981085] Epoch: [164] [680/850] eta: 0:02:28 lr: 0.002244 loss: 0.0254 (0.0256) loss_rec_all: 0.0614 (0.0617) loss_rec_sfr: 0.0939 (0.0898) loss_cl: -0.3678 (-0.3672) time: 0.8692 data: 0.0002 max mem: 29859 [13:05:10.289196] Epoch: [164] [700/850] eta: 0:02:11 lr: 0.002244 loss: 0.0259 (0.0257) loss_rec_all: 0.0622 (0.0618) loss_rec_sfr: 0.0741 (0.0898) loss_cl: -0.3679 (-0.3672) time: 0.8653 data: 0.0003 max mem: 29859 [13:05:27.942534] Epoch: [164] [720/850] eta: 0:01:53 lr: 0.002244 loss: 0.0266 (0.0258) loss_rec_all: 0.0629 (0.0618) loss_rec_sfr: 0.0775 (0.0897) loss_cl: -0.3678 (-0.3673) time: 0.8826 data: 0.0005 max mem: 29859 [13:05:45.297844] Epoch: [164] [740/850] eta: 0:01:36 lr: 0.002244 loss: 0.0252 (0.0258) loss_rec_all: 0.0613 (0.0619) loss_rec_sfr: 0.0638 (0.0896) loss_cl: -0.3674 (-0.3673) time: 0.8677 data: 0.0002 max mem: 29859 [13:06:02.574173] Epoch: [164] [760/850] eta: 0:01:18 lr: 0.002244 loss: 0.0248 (0.0257) loss_rec_all: 0.0611 (0.0618) loss_rec_sfr: 0.0619 (0.0895) loss_cl: -0.3673 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [13:06:19.990102] Epoch: [164] [780/850] eta: 0:01:01 lr: 0.002244 loss: 0.0237 (0.0257) loss_rec_all: 0.0599 (0.0618) loss_rec_sfr: 0.0636 (0.0895) loss_cl: -0.3666 (-0.3673) time: 0.8707 data: 0.0003 max mem: 29859 [13:06:37.360723] Epoch: [164] [800/850] eta: 0:00:43 lr: 0.002243 loss: 0.0243 (0.0257) loss_rec_all: 0.0604 (0.0618) loss_rec_sfr: 0.0672 (0.0894) loss_cl: -0.3658 (-0.3672) time: 0.8685 data: 0.0003 max mem: 29859 [13:06:54.579259] Epoch: [164] [820/850] eta: 0:00:26 lr: 0.002243 loss: 0.0248 (0.0257) loss_rec_all: 0.0606 (0.0618) loss_rec_sfr: 0.0933 (0.0895) loss_cl: -0.3670 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [13:07:12.053984] Epoch: [164] [840/850] eta: 0:00:08 lr: 0.002243 loss: 0.0238 (0.0257) loss_rec_all: 0.0602 (0.0618) loss_rec_sfr: 0.0914 (0.0896) loss_cl: -0.3674 (-0.3672) time: 0.8736 data: 0.0018 max mem: 29859 [13:07:19.813442] Epoch: [164] [849/850] eta: 0:00:00 lr: 0.002243 loss: 0.0238 (0.0257) loss_rec_all: 0.0602 (0.0618) loss_rec_sfr: 0.0919 (0.0896) loss_cl: -0.3677 (-0.3672) time: 0.8724 data: 0.0018 max mem: 29859 [13:07:19.981407] Epoch: [164] Total time: 0:12:23 (0.8748 s / it) [13:07:19.999856] Averaged stats: lr: 0.002243 loss: 0.0238 (0.0257) loss_rec_all: 0.0602 (0.0618) loss_rec_sfr: 0.0919 (0.0888) loss_cl: -0.3677 (-0.3672) [13:07:20.006076] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [13:07:24.750122] Epoch: [165] [ 0/850] eta: 1:07:11 lr: 0.002243 loss: 0.0213 (0.0213) loss_rec_all: 0.0576 (0.0576) loss_rec_sfr: 0.0572 (0.0572) loss_cl: -0.3674 (-0.3674) time: 4.7431 data: 3.2414 max mem: 29859 [13:07:42.012444] Epoch: [165] [ 20/850] eta: 0:14:29 lr: 0.002243 loss: 0.0227 (0.0235) loss_rec_all: 0.0590 (0.0597) loss_rec_sfr: 0.0711 (0.0822) loss_cl: -0.3674 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [13:07:59.535041] Epoch: [165] [ 40/850] eta: 0:13:00 lr: 0.002243 loss: 0.0231 (0.0239) loss_rec_all: 0.0594 (0.0601) loss_rec_sfr: 0.0642 (0.0807) loss_cl: -0.3675 (-0.3674) time: 0.8760 data: 0.0004 max mem: 29859 [13:08:16.968551] Epoch: [165] [ 60/850] eta: 0:12:17 lr: 0.002243 loss: 0.0250 (0.0244) loss_rec_all: 0.0610 (0.0605) loss_rec_sfr: 0.0706 (0.0840) loss_cl: -0.3672 (-0.3673) time: 0.8716 data: 0.0004 max mem: 29859 [13:08:34.214563] Epoch: [165] [ 80/850] eta: 0:11:45 lr: 0.002243 loss: 0.0240 (0.0245) loss_rec_all: 0.0599 (0.0606) loss_rec_sfr: 0.0895 (0.0859) loss_cl: -0.3674 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [13:08:51.539240] Epoch: [165] [100/850] eta: 0:11:19 lr: 0.002243 loss: 0.0235 (0.0245) loss_rec_all: 0.0594 (0.0606) loss_rec_sfr: 0.0799 (0.0873) loss_cl: -0.3676 (-0.3674) time: 0.8662 data: 0.0003 max mem: 29859 [13:09:09.127906] Epoch: [165] [120/850] eta: 0:10:58 lr: 0.002243 loss: 0.0228 (0.0244) loss_rec_all: 0.0592 (0.0605) loss_rec_sfr: 0.0609 (0.0859) loss_cl: -0.3680 (-0.3675) time: 0.8793 data: 0.0006 max mem: 29859 [13:09:26.512889] Epoch: [165] [140/850] eta: 0:10:36 lr: 0.002243 loss: 0.0244 (0.0245) loss_rec_all: 0.0607 (0.0607) loss_rec_sfr: 0.0797 (0.0858) loss_cl: -0.3677 (-0.3675) time: 0.8692 data: 0.0002 max mem: 29859 [13:09:43.788035] Epoch: [165] [160/850] eta: 0:10:16 lr: 0.002243 loss: 0.0236 (0.0244) loss_rec_all: 0.0598 (0.0606) loss_rec_sfr: 0.0594 (0.0843) loss_cl: -0.3674 (-0.3675) time: 0.8637 data: 0.0003 max mem: 29859 [13:10:01.050488] Epoch: [165] [180/850] eta: 0:09:56 lr: 0.002243 loss: 0.0237 (0.0244) loss_rec_all: 0.0598 (0.0606) loss_rec_sfr: 0.0694 (0.0842) loss_cl: -0.3666 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [13:10:18.689855] Epoch: [165] [200/850] eta: 0:09:37 lr: 0.002243 loss: 0.0245 (0.0245) loss_rec_all: 0.0605 (0.0607) loss_rec_sfr: 0.0791 (0.0847) loss_cl: -0.3663 (-0.3673) time: 0.8819 data: 0.0004 max mem: 29859 [13:10:36.149504] Epoch: [165] [220/850] eta: 0:09:19 lr: 0.002243 loss: 0.0225 (0.0245) loss_rec_all: 0.0588 (0.0606) loss_rec_sfr: 0.0673 (0.0847) loss_cl: -0.3672 (-0.3673) time: 0.8728 data: 0.0005 max mem: 29859 [13:10:53.451069] Epoch: [165] [240/850] eta: 0:09:00 lr: 0.002243 loss: 0.0229 (0.0244) loss_rec_all: 0.0593 (0.0605) loss_rec_sfr: 0.0685 (0.0848) loss_cl: -0.3676 (-0.3673) time: 0.8650 data: 0.0002 max mem: 29859 [13:11:10.801434] Epoch: [165] [260/850] eta: 0:08:41 lr: 0.002243 loss: 0.0250 (0.0245) loss_rec_all: 0.0612 (0.0606) loss_rec_sfr: 0.0826 (0.0850) loss_cl: -0.3678 (-0.3673) time: 0.8673 data: 0.0003 max mem: 29859 [13:11:28.187301] Epoch: [165] [280/850] eta: 0:08:23 lr: 0.002243 loss: 0.0247 (0.0246) loss_rec_all: 0.0610 (0.0607) loss_rec_sfr: 0.0665 (0.0845) loss_cl: -0.3681 (-0.3674) time: 0.8692 data: 0.0003 max mem: 29859 [13:11:45.558131] Epoch: [165] [300/850] eta: 0:08:05 lr: 0.002242 loss: 0.0240 (0.0246) loss_rec_all: 0.0604 (0.0607) loss_rec_sfr: 0.0632 (0.0840) loss_cl: -0.3676 (-0.3674) time: 0.8685 data: 0.0004 max mem: 29859 [13:12:02.858831] Epoch: [165] [320/850] eta: 0:07:46 lr: 0.002242 loss: 0.0247 (0.0246) loss_rec_all: 0.0607 (0.0608) loss_rec_sfr: 0.0684 (0.0837) loss_cl: -0.3677 (-0.3674) time: 0.8650 data: 0.0002 max mem: 29859 [13:12:20.136520] Epoch: [165] [340/850] eta: 0:07:28 lr: 0.002242 loss: 0.0257 (0.0248) loss_rec_all: 0.0620 (0.0609) loss_rec_sfr: 0.1014 (0.0841) loss_cl: -0.3668 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [13:12:37.430161] Epoch: [165] [360/850] eta: 0:07:10 lr: 0.002242 loss: 0.0246 (0.0248) loss_rec_all: 0.0607 (0.0609) loss_rec_sfr: 0.0688 (0.0843) loss_cl: -0.3665 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [13:12:54.675036] Epoch: [165] [380/850] eta: 0:06:52 lr: 0.002242 loss: 0.0259 (0.0249) loss_rec_all: 0.0619 (0.0610) loss_rec_sfr: 0.0961 (0.0846) loss_cl: -0.3662 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [13:13:12.094694] Epoch: [165] [400/850] eta: 0:06:35 lr: 0.002242 loss: 0.0245 (0.0249) loss_rec_all: 0.0608 (0.0610) loss_rec_sfr: 0.0763 (0.0850) loss_cl: -0.3671 (-0.3673) time: 0.8709 data: 0.0004 max mem: 29859 [13:13:29.324093] Epoch: [165] [420/850] eta: 0:06:17 lr: 0.002242 loss: 0.0241 (0.0249) loss_rec_all: 0.0604 (0.0610) loss_rec_sfr: 0.0711 (0.0848) loss_cl: -0.3673 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [13:13:46.969858] Epoch: [165] [440/850] eta: 0:05:59 lr: 0.002242 loss: 0.0248 (0.0249) loss_rec_all: 0.0610 (0.0611) loss_rec_sfr: 0.0930 (0.0853) loss_cl: -0.3675 (-0.3673) time: 0.8822 data: 0.0005 max mem: 29859 [13:14:04.856871] Epoch: [165] [460/850] eta: 0:05:42 lr: 0.002242 loss: 0.0258 (0.0249) loss_rec_all: 0.0616 (0.0611) loss_rec_sfr: 0.1093 (0.0861) loss_cl: -0.3678 (-0.3673) time: 0.8943 data: 0.0008 max mem: 29859 [13:14:22.319729] Epoch: [165] [480/850] eta: 0:05:24 lr: 0.002242 loss: 0.0248 (0.0249) loss_rec_all: 0.0608 (0.0611) loss_rec_sfr: 0.1081 (0.0866) loss_cl: -0.3671 (-0.3673) time: 0.8731 data: 0.0003 max mem: 29859 [13:14:39.573827] Epoch: [165] [500/850] eta: 0:05:07 lr: 0.002242 loss: 0.0233 (0.0249) loss_rec_all: 0.0595 (0.0610) loss_rec_sfr: 0.0714 (0.0866) loss_cl: -0.3665 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [13:14:56.959360] Epoch: [165] [520/850] eta: 0:04:49 lr: 0.002242 loss: 0.0234 (0.0249) loss_rec_all: 0.0596 (0.0610) loss_rec_sfr: 0.0612 (0.0864) loss_cl: -0.3666 (-0.3672) time: 0.8692 data: 0.0003 max mem: 29859 [13:15:14.224521] Epoch: [165] [540/850] eta: 0:04:31 lr: 0.002242 loss: 0.0244 (0.0249) loss_rec_all: 0.0607 (0.0610) loss_rec_sfr: 0.0697 (0.0863) loss_cl: -0.3669 (-0.3672) time: 0.8632 data: 0.0003 max mem: 29859 [13:15:31.511657] Epoch: [165] [560/850] eta: 0:04:14 lr: 0.002242 loss: 0.0225 (0.0248) loss_rec_all: 0.0588 (0.0609) loss_rec_sfr: 0.0675 (0.0862) loss_cl: -0.3682 (-0.3672) time: 0.8643 data: 0.0003 max mem: 29859 [13:15:48.735138] Epoch: [165] [580/850] eta: 0:03:56 lr: 0.002242 loss: 0.0239 (0.0248) loss_rec_all: 0.0600 (0.0609) loss_rec_sfr: 0.0827 (0.0863) loss_cl: -0.3679 (-0.3672) time: 0.8611 data: 0.0002 max mem: 29859 [13:16:06.189562] Epoch: [165] [600/850] eta: 0:03:38 lr: 0.002242 loss: 0.0242 (0.0248) loss_rec_all: 0.0604 (0.0609) loss_rec_sfr: 0.0743 (0.0863) loss_cl: -0.3673 (-0.3672) time: 0.8727 data: 0.0003 max mem: 29859 [13:16:23.402336] Epoch: [165] [620/850] eta: 0:03:21 lr: 0.002242 loss: 0.0256 (0.0249) loss_rec_all: 0.0617 (0.0610) loss_rec_sfr: 0.0832 (0.0865) loss_cl: -0.3674 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [13:16:40.682243] Epoch: [165] [640/850] eta: 0:03:03 lr: 0.002241 loss: 0.0269 (0.0249) loss_rec_all: 0.0628 (0.0610) loss_rec_sfr: 0.0723 (0.0867) loss_cl: -0.3672 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [13:16:58.042980] Epoch: [165] [660/850] eta: 0:02:46 lr: 0.002241 loss: 0.0254 (0.0250) loss_rec_all: 0.0615 (0.0611) loss_rec_sfr: 0.0941 (0.0869) loss_cl: -0.3671 (-0.3672) time: 0.8680 data: 0.0003 max mem: 29859 [13:17:15.395336] Epoch: [165] [680/850] eta: 0:02:28 lr: 0.002241 loss: 0.0262 (0.0250) loss_rec_all: 0.0621 (0.0611) loss_rec_sfr: 0.0711 (0.0869) loss_cl: -0.3674 (-0.3672) time: 0.8675 data: 0.0002 max mem: 29859 [13:17:33.171808] Epoch: [165] [700/850] eta: 0:02:11 lr: 0.002241 loss: 0.0246 (0.0250) loss_rec_all: 0.0609 (0.0611) loss_rec_sfr: 0.0664 (0.0867) loss_cl: -0.3675 (-0.3672) time: 0.8887 data: 0.0004 max mem: 29859 [13:17:50.660845] Epoch: [165] [720/850] eta: 0:01:53 lr: 0.002241 loss: 0.0241 (0.0250) loss_rec_all: 0.0606 (0.0611) loss_rec_sfr: 0.0709 (0.0867) loss_cl: -0.3672 (-0.3672) time: 0.8744 data: 0.0004 max mem: 29859 [13:18:07.886733] Epoch: [165] [740/850] eta: 0:01:36 lr: 0.002241 loss: 0.0236 (0.0250) loss_rec_all: 0.0599 (0.0611) loss_rec_sfr: 0.0717 (0.0866) loss_cl: -0.3671 (-0.3672) time: 0.8612 data: 0.0002 max mem: 29859 [13:18:25.264764] Epoch: [165] [760/850] eta: 0:01:18 lr: 0.002241 loss: 0.0239 (0.0250) loss_rec_all: 0.0601 (0.0611) loss_rec_sfr: 0.0729 (0.0865) loss_cl: -0.3673 (-0.3672) time: 0.8688 data: 0.0003 max mem: 29859 [13:18:42.835909] Epoch: [165] [780/850] eta: 0:01:01 lr: 0.002241 loss: 0.0249 (0.0250) loss_rec_all: 0.0609 (0.0611) loss_rec_sfr: 0.0716 (0.0865) loss_cl: -0.3670 (-0.3672) time: 0.8784 data: 0.0004 max mem: 29859 [13:19:00.812795] Epoch: [165] [800/850] eta: 0:00:43 lr: 0.002241 loss: 0.0225 (0.0250) loss_rec_all: 0.0589 (0.0611) loss_rec_sfr: 0.0689 (0.0865) loss_cl: -0.3674 (-0.3672) time: 0.8987 data: 0.0009 max mem: 29859 [13:19:18.345823] Epoch: [165] [820/850] eta: 0:00:26 lr: 0.002241 loss: 0.0246 (0.0250) loss_rec_all: 0.0609 (0.0611) loss_rec_sfr: 0.0894 (0.0866) loss_cl: -0.3677 (-0.3672) time: 0.8766 data: 0.0003 max mem: 29859 [13:19:35.617388] Epoch: [165] [840/850] eta: 0:00:08 lr: 0.002241 loss: 0.0240 (0.0250) loss_rec_all: 0.0599 (0.0611) loss_rec_sfr: 0.0893 (0.0867) loss_cl: -0.3675 (-0.3672) time: 0.8635 data: 0.0005 max mem: 29859 [13:19:43.407878] Epoch: [165] [849/850] eta: 0:00:00 lr: 0.002241 loss: 0.0240 (0.0250) loss_rec_all: 0.0602 (0.0611) loss_rec_sfr: 0.0707 (0.0866) loss_cl: -0.3675 (-0.3672) time: 0.8656 data: 0.0005 max mem: 29859 [13:19:43.588093] Epoch: [165] Total time: 0:12:23 (0.8748 s / it) [13:19:43.636740] Averaged stats: lr: 0.002241 loss: 0.0240 (0.0252) loss_rec_all: 0.0602 (0.0613) loss_rec_sfr: 0.0707 (0.0874) loss_cl: -0.3675 (-0.3672) [13:19:43.643370] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [13:19:48.880498] Epoch: [166] [ 0/850] eta: 1:14:10 lr: 0.002241 loss: 0.0268 (0.0268) loss_rec_all: 0.0627 (0.0627) loss_rec_sfr: 0.1050 (0.1050) loss_cl: -0.3662 (-0.3662) time: 5.2358 data: 3.9821 max mem: 29859 [13:20:06.089468] Epoch: [166] [ 20/850] eta: 0:14:47 lr: 0.002241 loss: 0.0251 (0.0260) loss_rec_all: 0.0611 (0.0621) loss_rec_sfr: 0.0879 (0.0936) loss_cl: -0.3674 (-0.3673) time: 0.8604 data: 0.0002 max mem: 29859 [13:20:23.350355] Epoch: [166] [ 40/850] eta: 0:13:04 lr: 0.002241 loss: 0.0223 (0.0248) loss_rec_all: 0.0586 (0.0609) loss_rec_sfr: 0.0664 (0.0880) loss_cl: -0.3677 (-0.3675) time: 0.8630 data: 0.0002 max mem: 29859 [13:20:40.692958] Epoch: [166] [ 60/850] eta: 0:12:18 lr: 0.002241 loss: 0.0245 (0.0248) loss_rec_all: 0.0608 (0.0610) loss_rec_sfr: 0.0855 (0.0891) loss_cl: -0.3673 (-0.3674) time: 0.8671 data: 0.0003 max mem: 29859 [13:20:58.026974] Epoch: [166] [ 80/850] eta: 0:11:47 lr: 0.002241 loss: 0.0238 (0.0249) loss_rec_all: 0.0597 (0.0610) loss_rec_sfr: 0.0848 (0.0891) loss_cl: -0.3666 (-0.3672) time: 0.8666 data: 0.0003 max mem: 29859 [13:21:15.408708] Epoch: [166] [100/850] eta: 0:11:21 lr: 0.002241 loss: 0.0232 (0.0247) loss_rec_all: 0.0594 (0.0608) loss_rec_sfr: 0.0632 (0.0881) loss_cl: -0.3663 (-0.3671) time: 0.8690 data: 0.0005 max mem: 29859 [13:21:33.026233] Epoch: [166] [120/850] eta: 0:10:59 lr: 0.002241 loss: 0.0235 (0.0246) loss_rec_all: 0.0596 (0.0607) loss_rec_sfr: 0.0725 (0.0882) loss_cl: -0.3671 (-0.3670) time: 0.8808 data: 0.0006 max mem: 29859 [13:21:50.524067] Epoch: [166] [140/850] eta: 0:10:38 lr: 0.002240 loss: 0.0245 (0.0246) loss_rec_all: 0.0604 (0.0607) loss_rec_sfr: 0.0889 (0.0886) loss_cl: -0.3680 (-0.3671) time: 0.8748 data: 0.0004 max mem: 29859 [13:22:07.879648] Epoch: [166] [160/850] eta: 0:10:18 lr: 0.002240 loss: 0.0232 (0.0245) loss_rec_all: 0.0597 (0.0606) loss_rec_sfr: 0.0903 (0.0888) loss_cl: -0.3683 (-0.3673) time: 0.8677 data: 0.0003 max mem: 29859 [13:22:25.537579] Epoch: [166] [180/850] eta: 0:09:59 lr: 0.002240 loss: 0.0281 (0.0249) loss_rec_all: 0.0639 (0.0610) loss_rec_sfr: 0.1063 (0.0904) loss_cl: -0.3678 (-0.3674) time: 0.8828 data: 0.0004 max mem: 29859 [13:22:42.913720] Epoch: [166] [200/850] eta: 0:09:39 lr: 0.002240 loss: 0.0277 (0.0252) loss_rec_all: 0.0636 (0.0613) loss_rec_sfr: 0.0762 (0.0908) loss_cl: -0.3673 (-0.3674) time: 0.8687 data: 0.0003 max mem: 29859 [13:23:00.147051] Epoch: [166] [220/850] eta: 0:09:20 lr: 0.002240 loss: 0.0287 (0.0256) loss_rec_all: 0.0646 (0.0617) loss_rec_sfr: 0.1007 (0.0917) loss_cl: -0.3667 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [13:23:17.610361] Epoch: [166] [240/850] eta: 0:09:01 lr: 0.002240 loss: 0.0268 (0.0259) loss_rec_all: 0.0627 (0.0619) loss_rec_sfr: 0.1001 (0.0924) loss_cl: -0.3664 (-0.3672) time: 0.8731 data: 0.0004 max mem: 29859 [13:23:35.052597] Epoch: [166] [260/850] eta: 0:08:43 lr: 0.002240 loss: 0.0262 (0.0259) loss_rec_all: 0.0621 (0.0620) loss_rec_sfr: 0.1064 (0.0928) loss_cl: -0.3667 (-0.3672) time: 0.8720 data: 0.0004 max mem: 29859 [13:23:52.729619] Epoch: [166] [280/850] eta: 0:08:25 lr: 0.002240 loss: 0.0245 (0.0259) loss_rec_all: 0.0606 (0.0620) loss_rec_sfr: 0.0712 (0.0926) loss_cl: -0.3672 (-0.3672) time: 0.8837 data: 0.0004 max mem: 29859 [13:24:10.367215] Epoch: [166] [300/850] eta: 0:08:07 lr: 0.002240 loss: 0.0237 (0.0259) loss_rec_all: 0.0601 (0.0620) loss_rec_sfr: 0.0636 (0.0920) loss_cl: -0.3675 (-0.3672) time: 0.8818 data: 0.0006 max mem: 29859 [13:24:27.741044] Epoch: [166] [320/850] eta: 0:07:49 lr: 0.002240 loss: 0.0246 (0.0259) loss_rec_all: 0.0610 (0.0620) loss_rec_sfr: 0.0783 (0.0915) loss_cl: -0.3678 (-0.3672) time: 0.8685 data: 0.0003 max mem: 29859 [13:24:45.360660] Epoch: [166] [340/850] eta: 0:07:31 lr: 0.002240 loss: 0.0242 (0.0258) loss_rec_all: 0.0607 (0.0619) loss_rec_sfr: 0.0691 (0.0909) loss_cl: -0.3682 (-0.3673) time: 0.8809 data: 0.0004 max mem: 29859 [13:25:02.852689] Epoch: [166] [360/850] eta: 0:07:13 lr: 0.002240 loss: 0.0244 (0.0258) loss_rec_all: 0.0604 (0.0618) loss_rec_sfr: 0.0845 (0.0906) loss_cl: -0.3678 (-0.3673) time: 0.8745 data: 0.0003 max mem: 29859 [13:25:20.143395] Epoch: [166] [380/850] eta: 0:06:55 lr: 0.002240 loss: 0.0234 (0.0257) loss_rec_all: 0.0596 (0.0618) loss_rec_sfr: 0.0861 (0.0905) loss_cl: -0.3669 (-0.3673) time: 0.8645 data: 0.0003 max mem: 29859 [13:25:37.564894] Epoch: [166] [400/850] eta: 0:06:37 lr: 0.002240 loss: 0.0226 (0.0256) loss_rec_all: 0.0589 (0.0617) loss_rec_sfr: 0.0622 (0.0897) loss_cl: -0.3663 (-0.3672) time: 0.8710 data: 0.0003 max mem: 29859 [13:25:55.109460] Epoch: [166] [420/850] eta: 0:06:19 lr: 0.002240 loss: 0.0233 (0.0255) loss_rec_all: 0.0593 (0.0616) loss_rec_sfr: 0.0721 (0.0892) loss_cl: -0.3663 (-0.3672) time: 0.8771 data: 0.0006 max mem: 29859 [13:26:12.575085] Epoch: [166] [440/850] eta: 0:06:01 lr: 0.002240 loss: 0.0237 (0.0255) loss_rec_all: 0.0599 (0.0616) loss_rec_sfr: 0.0929 (0.0890) loss_cl: -0.3671 (-0.3672) time: 0.8732 data: 0.0004 max mem: 29859 [13:26:29.806277] Epoch: [166] [460/850] eta: 0:05:43 lr: 0.002240 loss: 0.0236 (0.0255) loss_rec_all: 0.0599 (0.0616) loss_rec_sfr: 0.0623 (0.0888) loss_cl: -0.3677 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [13:26:47.243462] Epoch: [166] [480/850] eta: 0:05:25 lr: 0.002239 loss: 0.0256 (0.0255) loss_rec_all: 0.0618 (0.0616) loss_rec_sfr: 0.0720 (0.0890) loss_cl: -0.3685 (-0.3673) time: 0.8718 data: 0.0003 max mem: 29859 [13:27:04.496958] Epoch: [166] [500/850] eta: 0:05:07 lr: 0.002239 loss: 0.0250 (0.0256) loss_rec_all: 0.0613 (0.0617) loss_rec_sfr: 0.0622 (0.0886) loss_cl: -0.3676 (-0.3673) time: 0.8626 data: 0.0003 max mem: 29859 [13:27:21.859104] Epoch: [166] [520/850] eta: 0:04:50 lr: 0.002239 loss: 0.0264 (0.0256) loss_rec_all: 0.0624 (0.0617) loss_rec_sfr: 0.0891 (0.0888) loss_cl: -0.3673 (-0.3673) time: 0.8680 data: 0.0003 max mem: 29859 [13:27:39.339465] Epoch: [166] [540/850] eta: 0:04:32 lr: 0.002239 loss: 0.0259 (0.0256) loss_rec_all: 0.0619 (0.0617) loss_rec_sfr: 0.0954 (0.0893) loss_cl: -0.3666 (-0.3673) time: 0.8739 data: 0.0006 max mem: 29859 [13:27:56.621959] Epoch: [166] [560/850] eta: 0:04:14 lr: 0.002239 loss: 0.0242 (0.0256) loss_rec_all: 0.0605 (0.0617) loss_rec_sfr: 0.0716 (0.0891) loss_cl: -0.3672 (-0.3672) time: 0.8641 data: 0.0002 max mem: 29859 [13:28:14.091439] Epoch: [166] [580/850] eta: 0:03:57 lr: 0.002239 loss: 0.0243 (0.0256) loss_rec_all: 0.0601 (0.0617) loss_rec_sfr: 0.0725 (0.0891) loss_cl: -0.3675 (-0.3673) time: 0.8734 data: 0.0004 max mem: 29859 [13:28:31.466727] Epoch: [166] [600/850] eta: 0:03:39 lr: 0.002239 loss: 0.0230 (0.0255) loss_rec_all: 0.0592 (0.0616) loss_rec_sfr: 0.0603 (0.0890) loss_cl: -0.3679 (-0.3673) time: 0.8686 data: 0.0003 max mem: 29859 [13:28:48.781331] Epoch: [166] [620/850] eta: 0:03:21 lr: 0.002239 loss: 0.0232 (0.0255) loss_rec_all: 0.0593 (0.0616) loss_rec_sfr: 0.0614 (0.0885) loss_cl: -0.3679 (-0.3673) time: 0.8656 data: 0.0003 max mem: 29859 [13:29:06.094417] Epoch: [166] [640/850] eta: 0:03:04 lr: 0.002239 loss: 0.0243 (0.0254) loss_rec_all: 0.0604 (0.0616) loss_rec_sfr: 0.0686 (0.0884) loss_cl: -0.3675 (-0.3673) time: 0.8656 data: 0.0002 max mem: 29859 [13:29:23.442243] Epoch: [166] [660/850] eta: 0:02:46 lr: 0.002239 loss: 0.0254 (0.0255) loss_rec_all: 0.0612 (0.0616) loss_rec_sfr: 0.0886 (0.0884) loss_cl: -0.3670 (-0.3673) time: 0.8673 data: 0.0003 max mem: 29859 [13:29:41.134476] Epoch: [166] [680/850] eta: 0:02:29 lr: 0.002239 loss: 0.0249 (0.0255) loss_rec_all: 0.0608 (0.0616) loss_rec_sfr: 0.0700 (0.0884) loss_cl: -0.3668 (-0.3673) time: 0.8845 data: 0.0006 max mem: 29859 [13:29:58.418160] Epoch: [166] [700/850] eta: 0:02:11 lr: 0.002239 loss: 0.0267 (0.0256) loss_rec_all: 0.0629 (0.0617) loss_rec_sfr: 0.0908 (0.0884) loss_cl: -0.3665 (-0.3672) time: 0.8641 data: 0.0003 max mem: 29859 [13:30:15.679868] Epoch: [166] [720/850] eta: 0:01:53 lr: 0.002239 loss: 0.0264 (0.0256) loss_rec_all: 0.0624 (0.0617) loss_rec_sfr: 0.0692 (0.0882) loss_cl: -0.3668 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [13:30:33.026948] Epoch: [166] [740/850] eta: 0:01:36 lr: 0.002239 loss: 0.0247 (0.0256) loss_rec_all: 0.0607 (0.0617) loss_rec_sfr: 0.0717 (0.0881) loss_cl: -0.3675 (-0.3672) time: 0.8673 data: 0.0003 max mem: 29859 [13:30:50.459494] Epoch: [166] [760/850] eta: 0:01:18 lr: 0.002239 loss: 0.0262 (0.0257) loss_rec_all: 0.0623 (0.0618) loss_rec_sfr: 0.0796 (0.0881) loss_cl: -0.3671 (-0.3672) time: 0.8716 data: 0.0004 max mem: 29859 [13:31:07.703640] Epoch: [166] [780/850] eta: 0:01:01 lr: 0.002239 loss: 0.0251 (0.0257) loss_rec_all: 0.0612 (0.0618) loss_rec_sfr: 0.0665 (0.0878) loss_cl: -0.3673 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [13:31:25.013289] Epoch: [166] [800/850] eta: 0:00:43 lr: 0.002239 loss: 0.0259 (0.0257) loss_rec_all: 0.0619 (0.0618) loss_rec_sfr: 0.0908 (0.0878) loss_cl: -0.3673 (-0.3672) time: 0.8654 data: 0.0002 max mem: 29859 [13:31:42.293060] Epoch: [166] [820/850] eta: 0:00:26 lr: 0.002239 loss: 0.0261 (0.0257) loss_rec_all: 0.0620 (0.0618) loss_rec_sfr: 0.0903 (0.0880) loss_cl: -0.3673 (-0.3672) time: 0.8639 data: 0.0003 max mem: 29859 [13:32:00.037910] Epoch: [166] [840/850] eta: 0:00:08 lr: 0.002238 loss: 0.0246 (0.0257) loss_rec_all: 0.0606 (0.0618) loss_rec_sfr: 0.0651 (0.0878) loss_cl: -0.3676 (-0.3673) time: 0.8871 data: 0.0014 max mem: 29859 [13:32:08.144257] Epoch: [166] [849/850] eta: 0:00:00 lr: 0.002238 loss: 0.0240 (0.0257) loss_rec_all: 0.0602 (0.0618) loss_rec_sfr: 0.0670 (0.0878) loss_cl: -0.3678 (-0.3673) time: 0.8982 data: 0.0013 max mem: 29859 [13:32:08.325046] Epoch: [166] Total time: 0:12:24 (0.8761 s / it) [13:32:08.366277] Averaged stats: lr: 0.002238 loss: 0.0240 (0.0256) loss_rec_all: 0.0602 (0.0617) loss_rec_sfr: 0.0670 (0.0869) loss_cl: -0.3678 (-0.3672) [13:32:08.384571] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [13:32:13.196996] Epoch: [167] [ 0/850] eta: 1:08:09 lr: 0.002238 loss: 0.0250 (0.0250) loss_rec_all: 0.0608 (0.0608) loss_rec_sfr: 0.1202 (0.1202) loss_cl: -0.3665 (-0.3665) time: 4.8115 data: 3.9585 max mem: 29859 [13:32:30.417275] Epoch: [167] [ 20/850] eta: 0:14:30 lr: 0.002238 loss: 0.0236 (0.0237) loss_rec_all: 0.0597 (0.0598) loss_rec_sfr: 0.0698 (0.0930) loss_cl: -0.3673 (-0.3672) time: 0.8610 data: 0.0002 max mem: 29859 [13:32:47.774458] Epoch: [167] [ 40/850] eta: 0:12:58 lr: 0.002238 loss: 0.0245 (0.0245) loss_rec_all: 0.0606 (0.0605) loss_rec_sfr: 0.0909 (0.0917) loss_cl: -0.3670 (-0.3671) time: 0.8678 data: 0.0003 max mem: 29859 [13:33:05.083625] Epoch: [167] [ 60/850] eta: 0:12:14 lr: 0.002238 loss: 0.0237 (0.0246) loss_rec_all: 0.0597 (0.0607) loss_rec_sfr: 0.0677 (0.0872) loss_cl: -0.3667 (-0.3670) time: 0.8653 data: 0.0003 max mem: 29859 [13:33:22.380417] Epoch: [167] [ 80/850] eta: 0:11:43 lr: 0.002238 loss: 0.0231 (0.0245) loss_rec_all: 0.0593 (0.0606) loss_rec_sfr: 0.0674 (0.0867) loss_cl: -0.3670 (-0.3670) time: 0.8647 data: 0.0002 max mem: 29859 [13:33:39.633585] Epoch: [167] [100/850] eta: 0:11:17 lr: 0.002238 loss: 0.0230 (0.0244) loss_rec_all: 0.0593 (0.0605) loss_rec_sfr: 0.0682 (0.0866) loss_cl: -0.3680 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [13:33:56.913684] Epoch: [167] [120/850] eta: 0:10:54 lr: 0.002238 loss: 0.0232 (0.0243) loss_rec_all: 0.0595 (0.0605) loss_rec_sfr: 0.0776 (0.0873) loss_cl: -0.3676 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [13:34:14.173960] Epoch: [167] [140/850] eta: 0:10:33 lr: 0.002238 loss: 0.0237 (0.0244) loss_rec_all: 0.0602 (0.0605) loss_rec_sfr: 0.0672 (0.0865) loss_cl: -0.3678 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [13:34:31.562243] Epoch: [167] [160/850] eta: 0:10:13 lr: 0.002238 loss: 0.0242 (0.0245) loss_rec_all: 0.0600 (0.0606) loss_rec_sfr: 0.0984 (0.0877) loss_cl: -0.3671 (-0.3673) time: 0.8693 data: 0.0003 max mem: 29859 [13:34:48.825495] Epoch: [167] [180/850] eta: 0:09:53 lr: 0.002238 loss: 0.0241 (0.0246) loss_rec_all: 0.0604 (0.0607) loss_rec_sfr: 0.0770 (0.0878) loss_cl: -0.3665 (-0.3672) time: 0.8631 data: 0.0003 max mem: 29859 [13:35:06.189673] Epoch: [167] [200/850] eta: 0:09:34 lr: 0.002238 loss: 0.0227 (0.0246) loss_rec_all: 0.0589 (0.0607) loss_rec_sfr: 0.0592 (0.0864) loss_cl: -0.3662 (-0.3671) time: 0.8682 data: 0.0003 max mem: 29859 [13:35:23.447889] Epoch: [167] [220/850] eta: 0:09:16 lr: 0.002238 loss: 0.0245 (0.0247) loss_rec_all: 0.0606 (0.0608) loss_rec_sfr: 0.0961 (0.0871) loss_cl: -0.3667 (-0.3671) time: 0.8628 data: 0.0002 max mem: 29859 [13:35:40.882155] Epoch: [167] [240/850] eta: 0:08:57 lr: 0.002238 loss: 0.0234 (0.0246) loss_rec_all: 0.0594 (0.0607) loss_rec_sfr: 0.0897 (0.0873) loss_cl: -0.3674 (-0.3671) time: 0.8716 data: 0.0003 max mem: 29859 [13:35:58.273396] Epoch: [167] [260/850] eta: 0:08:39 lr: 0.002238 loss: 0.0230 (0.0246) loss_rec_all: 0.0594 (0.0607) loss_rec_sfr: 0.0860 (0.0872) loss_cl: -0.3673 (-0.3671) time: 0.8695 data: 0.0003 max mem: 29859 [13:36:15.557406] Epoch: [167] [280/850] eta: 0:08:21 lr: 0.002238 loss: 0.0229 (0.0245) loss_rec_all: 0.0592 (0.0607) loss_rec_sfr: 0.0676 (0.0863) loss_cl: -0.3678 (-0.3672) time: 0.8641 data: 0.0002 max mem: 29859 [13:36:32.794481] Epoch: [167] [300/850] eta: 0:08:03 lr: 0.002238 loss: 0.0246 (0.0245) loss_rec_all: 0.0605 (0.0606) loss_rec_sfr: 0.1101 (0.0875) loss_cl: -0.3680 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [13:36:50.337255] Epoch: [167] [320/850] eta: 0:07:45 lr: 0.002237 loss: 0.0247 (0.0246) loss_rec_all: 0.0611 (0.0607) loss_rec_sfr: 0.0884 (0.0877) loss_cl: -0.3679 (-0.3673) time: 0.8770 data: 0.0004 max mem: 29859 [13:37:07.778586] Epoch: [167] [340/850] eta: 0:07:27 lr: 0.002237 loss: 0.0233 (0.0245) loss_rec_all: 0.0596 (0.0607) loss_rec_sfr: 0.0696 (0.0872) loss_cl: -0.3682 (-0.3673) time: 0.8720 data: 0.0004 max mem: 29859 [13:37:25.039336] Epoch: [167] [360/850] eta: 0:07:09 lr: 0.002237 loss: 0.0244 (0.0246) loss_rec_all: 0.0603 (0.0607) loss_rec_sfr: 0.1061 (0.0881) loss_cl: -0.3679 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [13:37:42.312404] Epoch: [167] [380/850] eta: 0:06:51 lr: 0.002237 loss: 0.0234 (0.0246) loss_rec_all: 0.0596 (0.0607) loss_rec_sfr: 0.0668 (0.0878) loss_cl: -0.3672 (-0.3673) time: 0.8635 data: 0.0003 max mem: 29859 [13:37:59.784351] Epoch: [167] [400/850] eta: 0:06:34 lr: 0.002237 loss: 0.0260 (0.0247) loss_rec_all: 0.0621 (0.0608) loss_rec_sfr: 0.0758 (0.0877) loss_cl: -0.3669 (-0.3673) time: 0.8735 data: 0.0003 max mem: 29859 [13:38:17.041900] Epoch: [167] [420/850] eta: 0:06:16 lr: 0.002237 loss: 0.0266 (0.0248) loss_rec_all: 0.0626 (0.0609) loss_rec_sfr: 0.0739 (0.0877) loss_cl: -0.3663 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [13:38:34.298366] Epoch: [167] [440/850] eta: 0:05:58 lr: 0.002237 loss: 0.0271 (0.0249) loss_rec_all: 0.0628 (0.0610) loss_rec_sfr: 0.0966 (0.0884) loss_cl: -0.3660 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [13:38:51.549938] Epoch: [167] [460/850] eta: 0:05:41 lr: 0.002237 loss: 0.0272 (0.0250) loss_rec_all: 0.0631 (0.0611) loss_rec_sfr: 0.0981 (0.0890) loss_cl: -0.3667 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [13:39:09.004545] Epoch: [167] [480/850] eta: 0:05:23 lr: 0.002237 loss: 0.0266 (0.0251) loss_rec_all: 0.0626 (0.0612) loss_rec_sfr: 0.0990 (0.0895) loss_cl: -0.3667 (-0.3672) time: 0.8726 data: 0.0004 max mem: 29859 [13:39:26.346804] Epoch: [167] [500/850] eta: 0:05:05 lr: 0.002237 loss: 0.0246 (0.0251) loss_rec_all: 0.0606 (0.0612) loss_rec_sfr: 0.0713 (0.0893) loss_cl: -0.3675 (-0.3672) time: 0.8669 data: 0.0003 max mem: 29859 [13:39:43.823657] Epoch: [167] [520/850] eta: 0:04:48 lr: 0.002237 loss: 0.0257 (0.0252) loss_rec_all: 0.0616 (0.0612) loss_rec_sfr: 0.1091 (0.0900) loss_cl: -0.3680 (-0.3672) time: 0.8738 data: 0.0004 max mem: 29859 [13:40:01.077970] Epoch: [167] [540/850] eta: 0:04:30 lr: 0.002237 loss: 0.0246 (0.0252) loss_rec_all: 0.0609 (0.0612) loss_rec_sfr: 0.0690 (0.0899) loss_cl: -0.3679 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [13:40:18.370712] Epoch: [167] [560/850] eta: 0:04:13 lr: 0.002237 loss: 0.0245 (0.0252) loss_rec_all: 0.0608 (0.0612) loss_rec_sfr: 0.0687 (0.0898) loss_cl: -0.3673 (-0.3672) time: 0.8646 data: 0.0002 max mem: 29859 [13:40:35.696202] Epoch: [167] [580/850] eta: 0:03:55 lr: 0.002237 loss: 0.0246 (0.0252) loss_rec_all: 0.0608 (0.0612) loss_rec_sfr: 0.0950 (0.0899) loss_cl: -0.3674 (-0.3672) time: 0.8662 data: 0.0003 max mem: 29859 [13:40:53.018440] Epoch: [167] [600/850] eta: 0:03:38 lr: 0.002237 loss: 0.0249 (0.0252) loss_rec_all: 0.0609 (0.0613) loss_rec_sfr: 0.0944 (0.0900) loss_cl: -0.3674 (-0.3672) time: 0.8661 data: 0.0002 max mem: 29859 [13:41:10.226168] Epoch: [167] [620/850] eta: 0:03:20 lr: 0.002237 loss: 0.0231 (0.0252) loss_rec_all: 0.0595 (0.0613) loss_rec_sfr: 0.0899 (0.0899) loss_cl: -0.3674 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [13:41:27.494244] Epoch: [167] [640/850] eta: 0:03:03 lr: 0.002237 loss: 0.0240 (0.0251) loss_rec_all: 0.0599 (0.0612) loss_rec_sfr: 0.0694 (0.0899) loss_cl: -0.3674 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [13:41:44.826665] Epoch: [167] [660/850] eta: 0:02:45 lr: 0.002236 loss: 0.0242 (0.0251) loss_rec_all: 0.0602 (0.0612) loss_rec_sfr: 0.0815 (0.0898) loss_cl: -0.3672 (-0.3673) time: 0.8666 data: 0.0004 max mem: 29859 [13:42:02.119505] Epoch: [167] [680/850] eta: 0:02:28 lr: 0.002236 loss: 0.0233 (0.0251) loss_rec_all: 0.0595 (0.0612) loss_rec_sfr: 0.0891 (0.0896) loss_cl: -0.3672 (-0.3672) time: 0.8646 data: 0.0002 max mem: 29859 [13:42:19.338115] Epoch: [167] [700/850] eta: 0:02:10 lr: 0.002236 loss: 0.0259 (0.0251) loss_rec_all: 0.0617 (0.0612) loss_rec_sfr: 0.0939 (0.0899) loss_cl: -0.3673 (-0.3673) time: 0.8609 data: 0.0002 max mem: 29859 [13:42:36.604793] Epoch: [167] [720/850] eta: 0:01:53 lr: 0.002236 loss: 0.0242 (0.0251) loss_rec_all: 0.0604 (0.0612) loss_rec_sfr: 0.0820 (0.0899) loss_cl: -0.3670 (-0.3672) time: 0.8632 data: 0.0002 max mem: 29859 [13:42:53.885088] Epoch: [167] [740/850] eta: 0:01:35 lr: 0.002236 loss: 0.0241 (0.0251) loss_rec_all: 0.0601 (0.0612) loss_rec_sfr: 0.1029 (0.0901) loss_cl: -0.3670 (-0.3672) time: 0.8640 data: 0.0003 max mem: 29859 [13:43:11.194402] Epoch: [167] [760/850] eta: 0:01:18 lr: 0.002236 loss: 0.0247 (0.0251) loss_rec_all: 0.0608 (0.0612) loss_rec_sfr: 0.0728 (0.0902) loss_cl: -0.3675 (-0.3672) time: 0.8654 data: 0.0002 max mem: 29859 [13:43:28.418366] Epoch: [167] [780/850] eta: 0:01:00 lr: 0.002236 loss: 0.0251 (0.0251) loss_rec_all: 0.0611 (0.0612) loss_rec_sfr: 0.0924 (0.0903) loss_cl: -0.3676 (-0.3672) time: 0.8611 data: 0.0002 max mem: 29859 [13:43:45.740936] Epoch: [167] [800/850] eta: 0:00:43 lr: 0.002236 loss: 0.0241 (0.0252) loss_rec_all: 0.0603 (0.0612) loss_rec_sfr: 0.0871 (0.0903) loss_cl: -0.3681 (-0.3673) time: 0.8661 data: 0.0002 max mem: 29859 [13:44:03.028814] Epoch: [167] [820/850] eta: 0:00:26 lr: 0.002236 loss: 0.0243 (0.0252) loss_rec_all: 0.0605 (0.0613) loss_rec_sfr: 0.0893 (0.0902) loss_cl: -0.3677 (-0.3673) time: 0.8643 data: 0.0003 max mem: 29859 [13:44:20.265855] Epoch: [167] [840/850] eta: 0:00:08 lr: 0.002236 loss: 0.0249 (0.0252) loss_rec_all: 0.0609 (0.0613) loss_rec_sfr: 0.0725 (0.0902) loss_cl: -0.3668 (-0.3673) time: 0.8618 data: 0.0005 max mem: 29859 [13:44:27.999289] Epoch: [167] [849/850] eta: 0:00:00 lr: 0.002236 loss: 0.0256 (0.0252) loss_rec_all: 0.0617 (0.0613) loss_rec_sfr: 0.0672 (0.0901) loss_cl: -0.3668 (-0.3673) time: 0.8615 data: 0.0004 max mem: 29859 [13:44:28.134168] Epoch: [167] Total time: 0:12:19 (0.8703 s / it) [13:44:28.155086] Averaged stats: lr: 0.002236 loss: 0.0256 (0.0252) loss_rec_all: 0.0617 (0.0613) loss_rec_sfr: 0.0672 (0.0890) loss_cl: -0.3668 (-0.3672) [13:44:28.163064] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [13:44:33.501716] Epoch: [168] [ 0/850] eta: 1:15:36 lr: 0.002236 loss: 0.0246 (0.0246) loss_rec_all: 0.0608 (0.0608) loss_rec_sfr: 0.0627 (0.0627) loss_cl: -0.3661 (-0.3661) time: 5.3376 data: 4.4843 max mem: 29859 [13:44:50.825335] Epoch: [168] [ 20/850] eta: 0:14:55 lr: 0.002236 loss: 0.0231 (0.0247) loss_rec_all: 0.0594 (0.0608) loss_rec_sfr: 0.0609 (0.0747) loss_cl: -0.3667 (-0.3667) time: 0.8661 data: 0.0004 max mem: 29859 [13:45:08.102950] Epoch: [168] [ 40/850] eta: 0:13:08 lr: 0.002236 loss: 0.0232 (0.0244) loss_rec_all: 0.0595 (0.0606) loss_rec_sfr: 0.0664 (0.0755) loss_cl: -0.3670 (-0.3668) time: 0.8638 data: 0.0002 max mem: 29859 [13:45:25.534421] Epoch: [168] [ 60/850] eta: 0:12:22 lr: 0.002236 loss: 0.0228 (0.0242) loss_rec_all: 0.0590 (0.0604) loss_rec_sfr: 0.0696 (0.0796) loss_cl: -0.3674 (-0.3670) time: 0.8715 data: 0.0003 max mem: 29859 [13:45:43.478910] Epoch: [168] [ 80/850] eta: 0:11:55 lr: 0.002236 loss: 0.0241 (0.0243) loss_rec_all: 0.0600 (0.0604) loss_rec_sfr: 0.1033 (0.0838) loss_cl: -0.3678 (-0.3672) time: 0.8971 data: 0.0006 max mem: 29859 [13:46:00.742412] Epoch: [168] [100/850] eta: 0:11:27 lr: 0.002236 loss: 0.0228 (0.0244) loss_rec_all: 0.0593 (0.0605) loss_rec_sfr: 0.0606 (0.0835) loss_cl: -0.3685 (-0.3675) time: 0.8631 data: 0.0002 max mem: 29859 [13:46:17.972831] Epoch: [168] [120/850] eta: 0:11:02 lr: 0.002236 loss: 0.0223 (0.0242) loss_rec_all: 0.0586 (0.0604) loss_rec_sfr: 0.0655 (0.0828) loss_cl: -0.3679 (-0.3675) time: 0.8614 data: 0.0002 max mem: 29859 [13:46:35.428290] Epoch: [168] [140/850] eta: 0:10:40 lr: 0.002236 loss: 0.0233 (0.0242) loss_rec_all: 0.0597 (0.0604) loss_rec_sfr: 0.0661 (0.0823) loss_cl: -0.3675 (-0.3675) time: 0.8726 data: 0.0005 max mem: 29859 [13:46:53.416371] Epoch: [168] [160/850] eta: 0:10:22 lr: 0.002235 loss: 0.0249 (0.0243) loss_rec_all: 0.0608 (0.0605) loss_rec_sfr: 0.0902 (0.0834) loss_cl: -0.3671 (-0.3675) time: 0.8993 data: 0.0006 max mem: 29859 [13:47:10.678507] Epoch: [168] [180/850] eta: 0:10:01 lr: 0.002235 loss: 0.0236 (0.0243) loss_rec_all: 0.0597 (0.0604) loss_rec_sfr: 0.0661 (0.0838) loss_cl: -0.3666 (-0.3674) time: 0.8631 data: 0.0003 max mem: 29859 [13:47:28.063601] Epoch: [168] [200/850] eta: 0:09:41 lr: 0.002235 loss: 0.0241 (0.0243) loss_rec_all: 0.0602 (0.0604) loss_rec_sfr: 0.0697 (0.0843) loss_cl: -0.3666 (-0.3673) time: 0.8692 data: 0.0003 max mem: 29859 [13:47:45.508296] Epoch: [168] [220/850] eta: 0:09:22 lr: 0.002235 loss: 0.0253 (0.0244) loss_rec_all: 0.0614 (0.0606) loss_rec_sfr: 0.0880 (0.0851) loss_cl: -0.3673 (-0.3673) time: 0.8721 data: 0.0004 max mem: 29859 [13:48:03.037147] Epoch: [168] [240/850] eta: 0:09:03 lr: 0.002235 loss: 0.0246 (0.0245) loss_rec_all: 0.0608 (0.0607) loss_rec_sfr: 0.0833 (0.0858) loss_cl: -0.3675 (-0.3673) time: 0.8764 data: 0.0003 max mem: 29859 [13:48:20.280620] Epoch: [168] [260/850] eta: 0:08:44 lr: 0.002235 loss: 0.0271 (0.0247) loss_rec_all: 0.0629 (0.0609) loss_rec_sfr: 0.0909 (0.0865) loss_cl: -0.3673 (-0.3673) time: 0.8621 data: 0.0003 max mem: 29859 [13:48:37.586684] Epoch: [168] [280/850] eta: 0:08:25 lr: 0.002235 loss: 0.0250 (0.0248) loss_rec_all: 0.0611 (0.0609) loss_rec_sfr: 0.0756 (0.0864) loss_cl: -0.3670 (-0.3673) time: 0.8652 data: 0.0003 max mem: 29859 [13:48:54.882004] Epoch: [168] [300/850] eta: 0:08:07 lr: 0.002235 loss: 0.0258 (0.0250) loss_rec_all: 0.0620 (0.0611) loss_rec_sfr: 0.0905 (0.0867) loss_cl: -0.3671 (-0.3673) time: 0.8647 data: 0.0003 max mem: 29859 [13:49:12.153209] Epoch: [168] [320/850] eta: 0:07:48 lr: 0.002235 loss: 0.0253 (0.0250) loss_rec_all: 0.0614 (0.0612) loss_rec_sfr: 0.0753 (0.0870) loss_cl: -0.3669 (-0.3673) time: 0.8635 data: 0.0003 max mem: 29859 [13:49:29.428511] Epoch: [168] [340/850] eta: 0:07:30 lr: 0.002235 loss: 0.0237 (0.0250) loss_rec_all: 0.0599 (0.0612) loss_rec_sfr: 0.0648 (0.0862) loss_cl: -0.3668 (-0.3672) time: 0.8637 data: 0.0003 max mem: 29859 [13:49:46.718428] Epoch: [168] [360/850] eta: 0:07:12 lr: 0.002235 loss: 0.0254 (0.0251) loss_rec_all: 0.0614 (0.0612) loss_rec_sfr: 0.0871 (0.0864) loss_cl: -0.3674 (-0.3672) time: 0.8644 data: 0.0003 max mem: 29859 [13:50:03.968832] Epoch: [168] [380/850] eta: 0:06:54 lr: 0.002235 loss: 0.0230 (0.0251) loss_rec_all: 0.0594 (0.0612) loss_rec_sfr: 0.0689 (0.0862) loss_cl: -0.3671 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [13:50:21.231802] Epoch: [168] [400/850] eta: 0:06:36 lr: 0.002235 loss: 0.0245 (0.0250) loss_rec_all: 0.0605 (0.0612) loss_rec_sfr: 0.0717 (0.0860) loss_cl: -0.3676 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [13:50:38.471905] Epoch: [168] [420/850] eta: 0:06:18 lr: 0.002235 loss: 0.0251 (0.0251) loss_rec_all: 0.0611 (0.0612) loss_rec_sfr: 0.0889 (0.0863) loss_cl: -0.3682 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [13:50:55.791584] Epoch: [168] [440/850] eta: 0:06:00 lr: 0.002235 loss: 0.0234 (0.0250) loss_rec_all: 0.0597 (0.0612) loss_rec_sfr: 0.0658 (0.0856) loss_cl: -0.3687 (-0.3674) time: 0.8659 data: 0.0002 max mem: 29859 [13:51:12.996370] Epoch: [168] [460/850] eta: 0:05:42 lr: 0.002235 loss: 0.0233 (0.0250) loss_rec_all: 0.0597 (0.0612) loss_rec_sfr: 0.0671 (0.0854) loss_cl: -0.3677 (-0.3674) time: 0.8602 data: 0.0002 max mem: 29859 [13:51:30.278303] Epoch: [168] [480/850] eta: 0:05:24 lr: 0.002234 loss: 0.0239 (0.0250) loss_rec_all: 0.0602 (0.0612) loss_rec_sfr: 0.0624 (0.0851) loss_cl: -0.3668 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [13:51:47.524655] Epoch: [168] [500/850] eta: 0:05:06 lr: 0.002234 loss: 0.0239 (0.0250) loss_rec_all: 0.0602 (0.0612) loss_rec_sfr: 0.0653 (0.0848) loss_cl: -0.3670 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [13:52:04.778844] Epoch: [168] [520/850] eta: 0:04:49 lr: 0.002234 loss: 0.0235 (0.0250) loss_rec_all: 0.0597 (0.0611) loss_rec_sfr: 0.0612 (0.0843) loss_cl: -0.3668 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [13:52:21.989161] Epoch: [168] [540/850] eta: 0:04:31 lr: 0.002234 loss: 0.0242 (0.0250) loss_rec_all: 0.0600 (0.0611) loss_rec_sfr: 0.1026 (0.0848) loss_cl: -0.3671 (-0.3673) time: 0.8605 data: 0.0002 max mem: 29859 [13:52:39.295479] Epoch: [168] [560/850] eta: 0:04:13 lr: 0.002234 loss: 0.0256 (0.0250) loss_rec_all: 0.0614 (0.0611) loss_rec_sfr: 0.0936 (0.0852) loss_cl: -0.3669 (-0.3673) time: 0.8652 data: 0.0003 max mem: 29859 [13:52:56.510089] Epoch: [168] [580/850] eta: 0:03:56 lr: 0.002234 loss: 0.0240 (0.0250) loss_rec_all: 0.0602 (0.0611) loss_rec_sfr: 0.0675 (0.0851) loss_cl: -0.3677 (-0.3673) time: 0.8606 data: 0.0002 max mem: 29859 [13:53:13.756973] Epoch: [168] [600/850] eta: 0:03:38 lr: 0.002234 loss: 0.0277 (0.0251) loss_rec_all: 0.0636 (0.0612) loss_rec_sfr: 0.0911 (0.0855) loss_cl: -0.3679 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [13:53:31.003357] Epoch: [168] [620/850] eta: 0:03:21 lr: 0.002234 loss: 0.0253 (0.0251) loss_rec_all: 0.0615 (0.0612) loss_rec_sfr: 0.0848 (0.0857) loss_cl: -0.3680 (-0.3673) time: 0.8623 data: 0.0003 max mem: 29859 [13:53:48.271071] Epoch: [168] [640/850] eta: 0:03:03 lr: 0.002234 loss: 0.0249 (0.0251) loss_rec_all: 0.0611 (0.0612) loss_rec_sfr: 0.0872 (0.0859) loss_cl: -0.3681 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [13:54:05.483513] Epoch: [168] [660/850] eta: 0:02:45 lr: 0.002234 loss: 0.0232 (0.0251) loss_rec_all: 0.0593 (0.0612) loss_rec_sfr: 0.0633 (0.0857) loss_cl: -0.3672 (-0.3673) time: 0.8606 data: 0.0002 max mem: 29859 [13:54:22.732767] Epoch: [168] [680/850] eta: 0:02:28 lr: 0.002234 loss: 0.0256 (0.0251) loss_rec_all: 0.0619 (0.0612) loss_rec_sfr: 0.0701 (0.0857) loss_cl: -0.3666 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [13:54:39.988984] Epoch: [168] [700/850] eta: 0:02:10 lr: 0.002234 loss: 0.0233 (0.0251) loss_rec_all: 0.0595 (0.0612) loss_rec_sfr: 0.0598 (0.0857) loss_cl: -0.3671 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [13:54:57.226142] Epoch: [168] [720/850] eta: 0:01:53 lr: 0.002234 loss: 0.0248 (0.0251) loss_rec_all: 0.0610 (0.0612) loss_rec_sfr: 0.0849 (0.0858) loss_cl: -0.3673 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [13:55:14.429996] Epoch: [168] [740/850] eta: 0:01:35 lr: 0.002234 loss: 0.0228 (0.0251) loss_rec_all: 0.0590 (0.0612) loss_rec_sfr: 0.0710 (0.0857) loss_cl: -0.3671 (-0.3673) time: 0.8601 data: 0.0002 max mem: 29859 [13:55:31.735362] Epoch: [168] [760/850] eta: 0:01:18 lr: 0.002234 loss: 0.0227 (0.0250) loss_rec_all: 0.0590 (0.0612) loss_rec_sfr: 0.0647 (0.0857) loss_cl: -0.3672 (-0.3673) time: 0.8652 data: 0.0003 max mem: 29859 [13:55:48.937667] Epoch: [168] [780/850] eta: 0:01:01 lr: 0.002234 loss: 0.0235 (0.0250) loss_rec_all: 0.0595 (0.0612) loss_rec_sfr: 0.0977 (0.0860) loss_cl: -0.3668 (-0.3673) time: 0.8601 data: 0.0002 max mem: 29859 [13:56:06.194810] Epoch: [168] [800/850] eta: 0:00:43 lr: 0.002234 loss: 0.0246 (0.0250) loss_rec_all: 0.0604 (0.0612) loss_rec_sfr: 0.0782 (0.0860) loss_cl: -0.3667 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [13:56:23.422484] Epoch: [168] [820/850] eta: 0:00:26 lr: 0.002233 loss: 0.0249 (0.0251) loss_rec_all: 0.0610 (0.0612) loss_rec_sfr: 0.0928 (0.0861) loss_cl: -0.3673 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [13:56:40.701575] Epoch: [168] [840/850] eta: 0:00:08 lr: 0.002233 loss: 0.0227 (0.0250) loss_rec_all: 0.0591 (0.0612) loss_rec_sfr: 0.0676 (0.0859) loss_cl: -0.3682 (-0.3673) time: 0.8639 data: 0.0006 max mem: 29859 [13:56:48.436881] Epoch: [168] [849/850] eta: 0:00:00 lr: 0.002233 loss: 0.0236 (0.0250) loss_rec_all: 0.0600 (0.0612) loss_rec_sfr: 0.0743 (0.0861) loss_cl: -0.3684 (-0.3673) time: 0.8626 data: 0.0006 max mem: 29859 [13:56:48.592552] Epoch: [168] Total time: 0:12:20 (0.8711 s / it) [13:56:48.602401] Averaged stats: lr: 0.002233 loss: 0.0236 (0.0251) loss_rec_all: 0.0600 (0.0613) loss_rec_sfr: 0.0743 (0.0870) loss_cl: -0.3684 (-0.3673) [13:56:48.613674] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [13:56:52.811732] Epoch: [169] [ 0/850] eta: 0:59:27 lr: 0.002233 loss: 0.0281 (0.0281) loss_rec_all: 0.0640 (0.0640) loss_rec_sfr: 0.1360 (0.1360) loss_cl: -0.3676 (-0.3676) time: 4.1973 data: 3.3442 max mem: 29859 [13:57:09.986954] Epoch: [169] [ 20/850] eta: 0:14:04 lr: 0.002233 loss: 0.0238 (0.0246) loss_rec_all: 0.0602 (0.0608) loss_rec_sfr: 0.0715 (0.0866) loss_cl: -0.3684 (-0.3682) time: 0.8587 data: 0.0002 max mem: 29859 [13:57:27.274164] Epoch: [169] [ 40/850] eta: 0:12:43 lr: 0.002233 loss: 0.0220 (0.0243) loss_rec_all: 0.0583 (0.0605) loss_rec_sfr: 0.0592 (0.0814) loss_cl: -0.3678 (-0.3680) time: 0.8643 data: 0.0002 max mem: 29859 [13:57:44.468888] Epoch: [169] [ 60/850] eta: 0:12:03 lr: 0.002233 loss: 0.0255 (0.0248) loss_rec_all: 0.0616 (0.0609) loss_rec_sfr: 0.1051 (0.0876) loss_cl: -0.3670 (-0.3677) time: 0.8597 data: 0.0002 max mem: 29859 [13:58:01.723637] Epoch: [169] [ 80/850] eta: 0:11:34 lr: 0.002233 loss: 0.0235 (0.0247) loss_rec_all: 0.0597 (0.0608) loss_rec_sfr: 0.0759 (0.0879) loss_cl: -0.3663 (-0.3673) time: 0.8627 data: 0.0003 max mem: 29859 [13:58:18.941321] Epoch: [169] [100/850] eta: 0:11:10 lr: 0.002233 loss: 0.0235 (0.0246) loss_rec_all: 0.0595 (0.0607) loss_rec_sfr: 0.0687 (0.0878) loss_cl: -0.3669 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [13:58:36.223035] Epoch: [169] [120/850] eta: 0:10:49 lr: 0.002233 loss: 0.0229 (0.0245) loss_rec_all: 0.0589 (0.0606) loss_rec_sfr: 0.0732 (0.0885) loss_cl: -0.3675 (-0.3672) time: 0.8640 data: 0.0003 max mem: 29859 [13:58:53.425310] Epoch: [169] [140/850] eta: 0:10:28 lr: 0.002233 loss: 0.0254 (0.0246) loss_rec_all: 0.0613 (0.0607) loss_rec_sfr: 0.0912 (0.0896) loss_cl: -0.3677 (-0.3673) time: 0.8601 data: 0.0002 max mem: 29859 [13:59:10.701869] Epoch: [169] [160/850] eta: 0:10:08 lr: 0.002233 loss: 0.0235 (0.0245) loss_rec_all: 0.0596 (0.0606) loss_rec_sfr: 0.0740 (0.0879) loss_cl: -0.3677 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [13:59:27.937623] Epoch: [169] [180/850] eta: 0:09:49 lr: 0.002233 loss: 0.0259 (0.0248) loss_rec_all: 0.0618 (0.0609) loss_rec_sfr: 0.0926 (0.0886) loss_cl: -0.3670 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [13:59:45.204814] Epoch: [169] [200/850] eta: 0:09:31 lr: 0.002233 loss: 0.0281 (0.0252) loss_rec_all: 0.0642 (0.0613) loss_rec_sfr: 0.0726 (0.0887) loss_cl: -0.3669 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [14:00:02.416734] Epoch: [169] [220/850] eta: 0:09:12 lr: 0.002233 loss: 0.0289 (0.0256) loss_rec_all: 0.0649 (0.0616) loss_rec_sfr: 0.1022 (0.0897) loss_cl: -0.3668 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [14:00:19.701224] Epoch: [169] [240/850] eta: 0:08:54 lr: 0.002233 loss: 0.0275 (0.0258) loss_rec_all: 0.0635 (0.0618) loss_rec_sfr: 0.0740 (0.0896) loss_cl: -0.3674 (-0.3672) time: 0.8642 data: 0.0002 max mem: 29859 [14:00:36.922195] Epoch: [169] [260/850] eta: 0:08:36 lr: 0.002233 loss: 0.0269 (0.0259) loss_rec_all: 0.0628 (0.0620) loss_rec_sfr: 0.0722 (0.0898) loss_cl: -0.3680 (-0.3673) time: 0.8610 data: 0.0002 max mem: 29859 [14:00:54.167348] Epoch: [169] [280/850] eta: 0:08:18 lr: 0.002233 loss: 0.0259 (0.0259) loss_rec_all: 0.0622 (0.0620) loss_rec_sfr: 0.0703 (0.0896) loss_cl: -0.3683 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [14:01:11.465661] Epoch: [169] [300/850] eta: 0:08:00 lr: 0.002233 loss: 0.0233 (0.0258) loss_rec_all: 0.0598 (0.0620) loss_rec_sfr: 0.0663 (0.0890) loss_cl: -0.3680 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [14:01:28.741916] Epoch: [169] [320/850] eta: 0:07:42 lr: 0.002232 loss: 0.0244 (0.0258) loss_rec_all: 0.0606 (0.0619) loss_rec_sfr: 0.0749 (0.0891) loss_cl: -0.3671 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [14:01:45.967359] Epoch: [169] [340/850] eta: 0:07:24 lr: 0.002232 loss: 0.0250 (0.0258) loss_rec_all: 0.0607 (0.0619) loss_rec_sfr: 0.0901 (0.0894) loss_cl: -0.3666 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [14:02:03.264283] Epoch: [169] [360/850] eta: 0:07:07 lr: 0.002232 loss: 0.0249 (0.0258) loss_rec_all: 0.0610 (0.0619) loss_rec_sfr: 0.0890 (0.0896) loss_cl: -0.3663 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [14:02:20.486695] Epoch: [169] [380/850] eta: 0:06:49 lr: 0.002232 loss: 0.0248 (0.0258) loss_rec_all: 0.0609 (0.0619) loss_rec_sfr: 0.0919 (0.0899) loss_cl: -0.3664 (-0.3672) time: 0.8611 data: 0.0002 max mem: 29859 [14:02:37.761605] Epoch: [169] [400/850] eta: 0:06:31 lr: 0.002232 loss: 0.0228 (0.0258) loss_rec_all: 0.0590 (0.0618) loss_rec_sfr: 0.0607 (0.0893) loss_cl: -0.3670 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [14:02:54.981361] Epoch: [169] [420/850] eta: 0:06:14 lr: 0.002232 loss: 0.0237 (0.0257) loss_rec_all: 0.0595 (0.0618) loss_rec_sfr: 0.0900 (0.0893) loss_cl: -0.3675 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [14:03:12.316200] Epoch: [169] [440/850] eta: 0:05:56 lr: 0.002232 loss: 0.0231 (0.0256) loss_rec_all: 0.0593 (0.0617) loss_rec_sfr: 0.0643 (0.0886) loss_cl: -0.3678 (-0.3672) time: 0.8667 data: 0.0002 max mem: 29859 [14:03:29.521440] Epoch: [169] [460/850] eta: 0:05:39 lr: 0.002232 loss: 0.0242 (0.0255) loss_rec_all: 0.0601 (0.0617) loss_rec_sfr: 0.0865 (0.0886) loss_cl: -0.3679 (-0.3673) time: 0.8602 data: 0.0002 max mem: 29859 [14:03:46.810173] Epoch: [169] [480/850] eta: 0:05:21 lr: 0.002232 loss: 0.0220 (0.0254) loss_rec_all: 0.0582 (0.0615) loss_rec_sfr: 0.0655 (0.0883) loss_cl: -0.3680 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [14:04:04.077223] Epoch: [169] [500/850] eta: 0:05:04 lr: 0.002232 loss: 0.0241 (0.0254) loss_rec_all: 0.0601 (0.0615) loss_rec_sfr: 0.0878 (0.0883) loss_cl: -0.3672 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [14:04:21.352785] Epoch: [169] [520/850] eta: 0:04:46 lr: 0.002232 loss: 0.0237 (0.0254) loss_rec_all: 0.0600 (0.0615) loss_rec_sfr: 0.0868 (0.0885) loss_cl: -0.3669 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [14:04:38.562610] Epoch: [169] [540/850] eta: 0:04:29 lr: 0.002232 loss: 0.0244 (0.0253) loss_rec_all: 0.0604 (0.0614) loss_rec_sfr: 0.0808 (0.0883) loss_cl: -0.3667 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [14:04:55.866877] Epoch: [169] [560/850] eta: 0:04:11 lr: 0.002232 loss: 0.0228 (0.0253) loss_rec_all: 0.0586 (0.0614) loss_rec_sfr: 0.0686 (0.0880) loss_cl: -0.3669 (-0.3672) time: 0.8651 data: 0.0002 max mem: 29859 [14:05:13.095880] Epoch: [169] [580/850] eta: 0:03:54 lr: 0.002232 loss: 0.0240 (0.0252) loss_rec_all: 0.0600 (0.0614) loss_rec_sfr: 0.0706 (0.0881) loss_cl: -0.3672 (-0.3672) time: 0.8614 data: 0.0002 max mem: 29859 [14:05:30.346932] Epoch: [169] [600/850] eta: 0:03:37 lr: 0.002232 loss: 0.0219 (0.0252) loss_rec_all: 0.0582 (0.0613) loss_rec_sfr: 0.0679 (0.0878) loss_cl: -0.3680 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [14:05:47.598676] Epoch: [169] [620/850] eta: 0:03:19 lr: 0.002232 loss: 0.0232 (0.0251) loss_rec_all: 0.0595 (0.0613) loss_rec_sfr: 0.0684 (0.0878) loss_cl: -0.3676 (-0.3673) time: 0.8625 data: 0.0003 max mem: 29859 [14:06:04.884781] Epoch: [169] [640/850] eta: 0:03:02 lr: 0.002231 loss: 0.0251 (0.0251) loss_rec_all: 0.0609 (0.0612) loss_rec_sfr: 0.0902 (0.0880) loss_cl: -0.3674 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [14:06:22.093442] Epoch: [169] [660/850] eta: 0:02:44 lr: 0.002231 loss: 0.0241 (0.0251) loss_rec_all: 0.0602 (0.0612) loss_rec_sfr: 0.0631 (0.0879) loss_cl: -0.3672 (-0.3673) time: 0.8604 data: 0.0002 max mem: 29859 [14:06:39.348858] Epoch: [169] [680/850] eta: 0:02:27 lr: 0.002231 loss: 0.0245 (0.0251) loss_rec_all: 0.0606 (0.0612) loss_rec_sfr: 0.0914 (0.0879) loss_cl: -0.3673 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [14:06:56.627209] Epoch: [169] [700/850] eta: 0:02:10 lr: 0.002231 loss: 0.0245 (0.0251) loss_rec_all: 0.0604 (0.0612) loss_rec_sfr: 0.0926 (0.0880) loss_cl: -0.3674 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [14:07:13.882199] Epoch: [169] [720/850] eta: 0:01:52 lr: 0.002231 loss: 0.0240 (0.0251) loss_rec_all: 0.0602 (0.0612) loss_rec_sfr: 0.0719 (0.0880) loss_cl: -0.3673 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [14:07:31.105350] Epoch: [169] [740/850] eta: 0:01:35 lr: 0.002231 loss: 0.0260 (0.0252) loss_rec_all: 0.0620 (0.0613) loss_rec_sfr: 0.1015 (0.0883) loss_cl: -0.3677 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [14:07:48.420579] Epoch: [169] [760/850] eta: 0:01:18 lr: 0.002231 loss: 0.0256 (0.0252) loss_rec_all: 0.0615 (0.0613) loss_rec_sfr: 0.0732 (0.0883) loss_cl: -0.3669 (-0.3673) time: 0.8657 data: 0.0002 max mem: 29859 [14:08:05.630178] Epoch: [169] [780/850] eta: 0:01:00 lr: 0.002231 loss: 0.0244 (0.0252) loss_rec_all: 0.0606 (0.0613) loss_rec_sfr: 0.0773 (0.0883) loss_cl: -0.3673 (-0.3673) time: 0.8604 data: 0.0002 max mem: 29859 [14:08:22.898151] Epoch: [169] [800/850] eta: 0:00:43 lr: 0.002231 loss: 0.0242 (0.0252) loss_rec_all: 0.0602 (0.0613) loss_rec_sfr: 0.0923 (0.0884) loss_cl: -0.3674 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [14:08:40.128077] Epoch: [169] [820/850] eta: 0:00:25 lr: 0.002231 loss: 0.0242 (0.0252) loss_rec_all: 0.0604 (0.0613) loss_rec_sfr: 0.0665 (0.0882) loss_cl: -0.3669 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [14:08:57.427059] Epoch: [169] [840/850] eta: 0:00:08 lr: 0.002231 loss: 0.0247 (0.0252) loss_rec_all: 0.0608 (0.0613) loss_rec_sfr: 0.0806 (0.0882) loss_cl: -0.3675 (-0.3673) time: 0.8649 data: 0.0006 max mem: 29859 [14:09:05.170131] Epoch: [169] [849/850] eta: 0:00:00 lr: 0.002231 loss: 0.0242 (0.0252) loss_rec_all: 0.0604 (0.0613) loss_rec_sfr: 0.0728 (0.0883) loss_cl: -0.3672 (-0.3673) time: 0.8633 data: 0.0005 max mem: 29859 [14:09:05.308661] Epoch: [169] Total time: 0:12:16 (0.8667 s / it) [14:09:05.311317] Averaged stats: lr: 0.002231 loss: 0.0242 (0.0251) loss_rec_all: 0.0604 (0.0613) loss_rec_sfr: 0.0728 (0.0872) loss_cl: -0.3672 (-0.3672) [14:09:05.323242] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [14:09:09.586319] Epoch: [170] [ 0/850] eta: 1:00:22 lr: 0.002231 loss: 0.0289 (0.0289) loss_rec_all: 0.0649 (0.0649) loss_rec_sfr: 0.0892 (0.0892) loss_cl: -0.3663 (-0.3663) time: 4.2623 data: 3.4077 max mem: 29859 [14:09:26.761186] Epoch: [170] [ 20/850] eta: 0:14:07 lr: 0.002231 loss: 0.0225 (0.0233) loss_rec_all: 0.0588 (0.0594) loss_rec_sfr: 0.0669 (0.0812) loss_cl: -0.3669 (-0.3668) time: 0.8586 data: 0.0002 max mem: 29859 [14:09:44.081593] Epoch: [170] [ 40/850] eta: 0:12:45 lr: 0.002231 loss: 0.0238 (0.0241) loss_rec_all: 0.0596 (0.0602) loss_rec_sfr: 0.0886 (0.0831) loss_cl: -0.3670 (-0.3669) time: 0.8660 data: 0.0003 max mem: 29859 [14:10:01.277881] Epoch: [170] [ 60/850] eta: 0:12:04 lr: 0.002231 loss: 0.0234 (0.0246) loss_rec_all: 0.0594 (0.0608) loss_rec_sfr: 0.0694 (0.0851) loss_cl: -0.3678 (-0.3672) time: 0.8598 data: 0.0002 max mem: 29859 [14:10:18.538999] Epoch: [170] [ 80/850] eta: 0:11:35 lr: 0.002231 loss: 0.0246 (0.0246) loss_rec_all: 0.0608 (0.0608) loss_rec_sfr: 0.0753 (0.0858) loss_cl: -0.3681 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [14:10:35.767178] Epoch: [170] [100/850] eta: 0:11:11 lr: 0.002231 loss: 0.0261 (0.0250) loss_rec_all: 0.0621 (0.0612) loss_rec_sfr: 0.0914 (0.0868) loss_cl: -0.3680 (-0.3675) time: 0.8613 data: 0.0002 max mem: 29859 [14:10:53.038106] Epoch: [170] [120/850] eta: 0:10:49 lr: 0.002231 loss: 0.0270 (0.0254) loss_rec_all: 0.0628 (0.0616) loss_rec_sfr: 0.0946 (0.0881) loss_cl: -0.3677 (-0.3675) time: 0.8635 data: 0.0002 max mem: 29859 [14:11:10.254630] Epoch: [170] [140/850] eta: 0:10:29 lr: 0.002230 loss: 0.0259 (0.0257) loss_rec_all: 0.0620 (0.0618) loss_rec_sfr: 0.0912 (0.0882) loss_cl: -0.3667 (-0.3674) time: 0.8608 data: 0.0002 max mem: 29859 [14:11:27.562272] Epoch: [170] [160/850] eta: 0:10:09 lr: 0.002230 loss: 0.0241 (0.0256) loss_rec_all: 0.0604 (0.0617) loss_rec_sfr: 0.0704 (0.0880) loss_cl: -0.3665 (-0.3673) time: 0.8653 data: 0.0003 max mem: 29859 [14:11:44.803012] Epoch: [170] [180/850] eta: 0:09:50 lr: 0.002230 loss: 0.0250 (0.0256) loss_rec_all: 0.0611 (0.0617) loss_rec_sfr: 0.0950 (0.0888) loss_cl: -0.3670 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [14:12:02.054386] Epoch: [170] [200/850] eta: 0:09:31 lr: 0.002230 loss: 0.0246 (0.0257) loss_rec_all: 0.0609 (0.0618) loss_rec_sfr: 0.0783 (0.0879) loss_cl: -0.3673 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [14:12:19.296160] Epoch: [170] [220/850] eta: 0:09:12 lr: 0.002230 loss: 0.0237 (0.0256) loss_rec_all: 0.0598 (0.0618) loss_rec_sfr: 0.0756 (0.0874) loss_cl: -0.3675 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [14:12:36.578672] Epoch: [170] [240/850] eta: 0:08:54 lr: 0.002230 loss: 0.0244 (0.0256) loss_rec_all: 0.0607 (0.0617) loss_rec_sfr: 0.0960 (0.0879) loss_cl: -0.3677 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [14:12:53.800218] Epoch: [170] [260/850] eta: 0:08:36 lr: 0.002230 loss: 0.0233 (0.0256) loss_rec_all: 0.0596 (0.0617) loss_rec_sfr: 0.0913 (0.0877) loss_cl: -0.3678 (-0.3673) time: 0.8610 data: 0.0002 max mem: 29859 [14:13:11.056050] Epoch: [170] [280/850] eta: 0:08:18 lr: 0.002230 loss: 0.0237 (0.0255) loss_rec_all: 0.0597 (0.0616) loss_rec_sfr: 0.0649 (0.0878) loss_cl: -0.3678 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [14:13:28.321496] Epoch: [170] [300/850] eta: 0:08:00 lr: 0.002230 loss: 0.0237 (0.0254) loss_rec_all: 0.0597 (0.0615) loss_rec_sfr: 0.0672 (0.0876) loss_cl: -0.3665 (-0.3673) time: 0.8632 data: 0.0003 max mem: 29859 [14:13:45.585051] Epoch: [170] [320/850] eta: 0:07:42 lr: 0.002230 loss: 0.0226 (0.0253) loss_rec_all: 0.0589 (0.0614) loss_rec_sfr: 0.0598 (0.0869) loss_cl: -0.3672 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [14:14:02.803842] Epoch: [170] [340/850] eta: 0:07:24 lr: 0.002230 loss: 0.0233 (0.0253) loss_rec_all: 0.0593 (0.0614) loss_rec_sfr: 0.0644 (0.0867) loss_cl: -0.3670 (-0.3673) time: 0.8609 data: 0.0002 max mem: 29859 [14:14:20.121818] Epoch: [170] [360/850] eta: 0:07:07 lr: 0.002230 loss: 0.0236 (0.0252) loss_rec_all: 0.0599 (0.0613) loss_rec_sfr: 0.0654 (0.0868) loss_cl: -0.3670 (-0.3673) time: 0.8658 data: 0.0003 max mem: 29859 [14:14:37.343328] Epoch: [170] [380/850] eta: 0:06:49 lr: 0.002230 loss: 0.0221 (0.0251) loss_rec_all: 0.0585 (0.0612) loss_rec_sfr: 0.0610 (0.0863) loss_cl: -0.3676 (-0.3673) time: 0.8610 data: 0.0002 max mem: 29859 [14:14:54.635301] Epoch: [170] [400/850] eta: 0:06:31 lr: 0.002230 loss: 0.0230 (0.0250) loss_rec_all: 0.0592 (0.0612) loss_rec_sfr: 0.0722 (0.0865) loss_cl: -0.3675 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [14:15:11.862632] Epoch: [170] [420/850] eta: 0:06:14 lr: 0.002230 loss: 0.0223 (0.0250) loss_rec_all: 0.0585 (0.0611) loss_rec_sfr: 0.0637 (0.0861) loss_cl: -0.3669 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [14:15:29.221806] Epoch: [170] [440/850] eta: 0:05:56 lr: 0.002230 loss: 0.0246 (0.0249) loss_rec_all: 0.0604 (0.0611) loss_rec_sfr: 0.0882 (0.0863) loss_cl: -0.3668 (-0.3672) time: 0.8679 data: 0.0003 max mem: 29859 [14:15:46.444604] Epoch: [170] [460/850] eta: 0:05:39 lr: 0.002230 loss: 0.0255 (0.0250) loss_rec_all: 0.0615 (0.0611) loss_rec_sfr: 0.0692 (0.0862) loss_cl: -0.3671 (-0.3672) time: 0.8611 data: 0.0002 max mem: 29859 [14:16:03.743103] Epoch: [170] [480/850] eta: 0:05:21 lr: 0.002229 loss: 0.0254 (0.0251) loss_rec_all: 0.0616 (0.0612) loss_rec_sfr: 0.0694 (0.0859) loss_cl: -0.3674 (-0.3672) time: 0.8649 data: 0.0003 max mem: 29859 [14:16:20.994907] Epoch: [170] [500/850] eta: 0:05:04 lr: 0.002229 loss: 0.0243 (0.0251) loss_rec_all: 0.0605 (0.0612) loss_rec_sfr: 0.0906 (0.0860) loss_cl: -0.3674 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [14:16:38.252143] Epoch: [170] [520/850] eta: 0:04:46 lr: 0.002229 loss: 0.0245 (0.0250) loss_rec_all: 0.0604 (0.0612) loss_rec_sfr: 0.0896 (0.0862) loss_cl: -0.3673 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [14:16:55.503414] Epoch: [170] [540/850] eta: 0:04:29 lr: 0.002229 loss: 0.0235 (0.0250) loss_rec_all: 0.0599 (0.0611) loss_rec_sfr: 0.0621 (0.0861) loss_cl: -0.3674 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [14:17:12.793440] Epoch: [170] [560/850] eta: 0:04:11 lr: 0.002229 loss: 0.0259 (0.0251) loss_rec_all: 0.0615 (0.0612) loss_rec_sfr: 0.0915 (0.0866) loss_cl: -0.3668 (-0.3672) time: 0.8645 data: 0.0002 max mem: 29859 [14:17:30.034718] Epoch: [170] [580/850] eta: 0:03:54 lr: 0.002229 loss: 0.0232 (0.0250) loss_rec_all: 0.0594 (0.0611) loss_rec_sfr: 0.0791 (0.0864) loss_cl: -0.3672 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [14:17:47.307181] Epoch: [170] [600/850] eta: 0:03:37 lr: 0.002229 loss: 0.0253 (0.0251) loss_rec_all: 0.0615 (0.0612) loss_rec_sfr: 0.0959 (0.0868) loss_cl: -0.3671 (-0.3672) time: 0.8636 data: 0.0002 max mem: 29859 [14:18:04.573171] Epoch: [170] [620/850] eta: 0:03:19 lr: 0.002229 loss: 0.0238 (0.0251) loss_rec_all: 0.0596 (0.0612) loss_rec_sfr: 0.0897 (0.0869) loss_cl: -0.3682 (-0.3672) time: 0.8632 data: 0.0003 max mem: 29859 [14:18:21.857401] Epoch: [170] [640/850] eta: 0:03:02 lr: 0.002229 loss: 0.0239 (0.0251) loss_rec_all: 0.0600 (0.0612) loss_rec_sfr: 0.0971 (0.0871) loss_cl: -0.3676 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [14:18:39.082809] Epoch: [170] [660/850] eta: 0:02:44 lr: 0.002229 loss: 0.0250 (0.0251) loss_rec_all: 0.0608 (0.0612) loss_rec_sfr: 0.0640 (0.0870) loss_cl: -0.3671 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [14:18:56.348381] Epoch: [170] [680/850] eta: 0:02:27 lr: 0.002229 loss: 0.0238 (0.0251) loss_rec_all: 0.0602 (0.0612) loss_rec_sfr: 0.0700 (0.0868) loss_cl: -0.3668 (-0.3672) time: 0.8632 data: 0.0002 max mem: 29859 [14:19:13.590822] Epoch: [170] [700/850] eta: 0:02:10 lr: 0.002229 loss: 0.0249 (0.0251) loss_rec_all: 0.0609 (0.0612) loss_rec_sfr: 0.0751 (0.0870) loss_cl: -0.3671 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [14:19:30.865743] Epoch: [170] [720/850] eta: 0:01:52 lr: 0.002229 loss: 0.0261 (0.0251) loss_rec_all: 0.0619 (0.0612) loss_rec_sfr: 0.0911 (0.0871) loss_cl: -0.3674 (-0.3672) time: 0.8637 data: 0.0003 max mem: 29859 [14:19:48.081492] Epoch: [170] [740/850] eta: 0:01:35 lr: 0.002229 loss: 0.0231 (0.0251) loss_rec_all: 0.0594 (0.0612) loss_rec_sfr: 0.0617 (0.0866) loss_cl: -0.3675 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [14:20:05.437865] Epoch: [170] [760/850] eta: 0:01:18 lr: 0.002229 loss: 0.0248 (0.0251) loss_rec_all: 0.0608 (0.0612) loss_rec_sfr: 0.0879 (0.0866) loss_cl: -0.3675 (-0.3672) time: 0.8678 data: 0.0003 max mem: 29859 [14:20:22.651869] Epoch: [170] [780/850] eta: 0:01:00 lr: 0.002229 loss: 0.0246 (0.0251) loss_rec_all: 0.0607 (0.0612) loss_rec_sfr: 0.1026 (0.0869) loss_cl: -0.3682 (-0.3673) time: 0.8607 data: 0.0002 max mem: 29859 [14:20:39.932433] Epoch: [170] [800/850] eta: 0:00:43 lr: 0.002228 loss: 0.0231 (0.0251) loss_rec_all: 0.0595 (0.0612) loss_rec_sfr: 0.0645 (0.0869) loss_cl: -0.3677 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [14:20:57.197232] Epoch: [170] [820/850] eta: 0:00:26 lr: 0.002228 loss: 0.0235 (0.0251) loss_rec_all: 0.0598 (0.0612) loss_rec_sfr: 0.0861 (0.0868) loss_cl: -0.3672 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [14:21:14.453759] Epoch: [170] [840/850] eta: 0:00:08 lr: 0.002228 loss: 0.0231 (0.0251) loss_rec_all: 0.0593 (0.0612) loss_rec_sfr: 0.0720 (0.0868) loss_cl: -0.3673 (-0.3673) time: 0.8628 data: 0.0004 max mem: 29859 [14:21:22.197980] Epoch: [170] [849/850] eta: 0:00:00 lr: 0.002228 loss: 0.0228 (0.0251) loss_rec_all: 0.0590 (0.0612) loss_rec_sfr: 0.0720 (0.0869) loss_cl: -0.3672 (-0.3673) time: 0.8623 data: 0.0003 max mem: 29859 [14:21:22.327918] Epoch: [170] Total time: 0:12:17 (0.8671 s / it) [14:21:22.330539] Averaged stats: lr: 0.002228 loss: 0.0228 (0.0250) loss_rec_all: 0.0590 (0.0611) loss_rec_sfr: 0.0720 (0.0873) loss_cl: -0.3672 (-0.3672) [14:21:22.342319] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [14:21:26.535537] Epoch: [171] [ 0/850] eta: 0:59:23 lr: 0.002228 loss: 0.0219 (0.0219) loss_rec_all: 0.0582 (0.0582) loss_rec_sfr: 0.0643 (0.0643) loss_cl: -0.3674 (-0.3674) time: 4.1926 data: 3.3394 max mem: 29859 [14:21:43.713181] Epoch: [171] [ 20/850] eta: 0:14:04 lr: 0.002228 loss: 0.0222 (0.0231) loss_rec_all: 0.0584 (0.0592) loss_rec_sfr: 0.0863 (0.0886) loss_cl: -0.3674 (-0.3674) time: 0.8588 data: 0.0002 max mem: 29859 [14:22:01.049163] Epoch: [171] [ 40/850] eta: 0:12:44 lr: 0.002228 loss: 0.0237 (0.0235) loss_rec_all: 0.0598 (0.0596) loss_rec_sfr: 0.1068 (0.0956) loss_cl: -0.3677 (-0.3676) time: 0.8667 data: 0.0003 max mem: 29859 [14:22:18.232511] Epoch: [171] [ 60/850] eta: 0:12:03 lr: 0.002228 loss: 0.0247 (0.0241) loss_rec_all: 0.0605 (0.0602) loss_rec_sfr: 0.0873 (0.0926) loss_cl: -0.3674 (-0.3675) time: 0.8591 data: 0.0002 max mem: 29859 [14:22:35.441551] Epoch: [171] [ 80/850] eta: 0:11:34 lr: 0.002228 loss: 0.0230 (0.0243) loss_rec_all: 0.0590 (0.0604) loss_rec_sfr: 0.0657 (0.0891) loss_cl: -0.3674 (-0.3675) time: 0.8604 data: 0.0002 max mem: 29859 [14:22:52.643193] Epoch: [171] [100/850] eta: 0:11:10 lr: 0.002228 loss: 0.0237 (0.0244) loss_rec_all: 0.0601 (0.0605) loss_rec_sfr: 0.0711 (0.0880) loss_cl: -0.3671 (-0.3675) time: 0.8600 data: 0.0002 max mem: 29859 [14:23:09.878160] Epoch: [171] [120/850] eta: 0:10:48 lr: 0.002228 loss: 0.0241 (0.0244) loss_rec_all: 0.0602 (0.0605) loss_rec_sfr: 0.0961 (0.0885) loss_cl: -0.3665 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [14:23:27.063530] Epoch: [171] [140/850] eta: 0:10:27 lr: 0.002228 loss: 0.0235 (0.0244) loss_rec_all: 0.0598 (0.0605) loss_rec_sfr: 0.0921 (0.0884) loss_cl: -0.3668 (-0.3672) time: 0.8592 data: 0.0002 max mem: 29859 [14:23:44.341196] Epoch: [171] [160/850] eta: 0:10:08 lr: 0.002228 loss: 0.0256 (0.0247) loss_rec_all: 0.0618 (0.0608) loss_rec_sfr: 0.0989 (0.0900) loss_cl: -0.3666 (-0.3671) time: 0.8638 data: 0.0002 max mem: 29859 [14:24:01.600596] Epoch: [171] [180/850] eta: 0:09:49 lr: 0.002228 loss: 0.0248 (0.0247) loss_rec_all: 0.0605 (0.0608) loss_rec_sfr: 0.0898 (0.0905) loss_cl: -0.3668 (-0.3671) time: 0.8629 data: 0.0003 max mem: 29859 [14:24:18.850490] Epoch: [171] [200/850] eta: 0:09:30 lr: 0.002228 loss: 0.0237 (0.0248) loss_rec_all: 0.0597 (0.0609) loss_rec_sfr: 0.0951 (0.0907) loss_cl: -0.3670 (-0.3671) time: 0.8624 data: 0.0002 max mem: 29859 [14:24:36.177727] Epoch: [171] [220/850] eta: 0:09:12 lr: 0.002228 loss: 0.0245 (0.0248) loss_rec_all: 0.0602 (0.0609) loss_rec_sfr: 0.0913 (0.0909) loss_cl: -0.3672 (-0.3671) time: 0.8663 data: 0.0003 max mem: 29859 [14:24:53.462427] Epoch: [171] [240/850] eta: 0:08:54 lr: 0.002228 loss: 0.0247 (0.0248) loss_rec_all: 0.0607 (0.0609) loss_rec_sfr: 0.0956 (0.0915) loss_cl: -0.3672 (-0.3671) time: 0.8642 data: 0.0003 max mem: 29859 [14:25:10.687191] Epoch: [171] [260/850] eta: 0:08:36 lr: 0.002228 loss: 0.0230 (0.0247) loss_rec_all: 0.0593 (0.0608) loss_rec_sfr: 0.0607 (0.0900) loss_cl: -0.3679 (-0.3671) time: 0.8612 data: 0.0002 max mem: 29859 [14:25:27.934501] Epoch: [171] [280/850] eta: 0:08:18 lr: 0.002227 loss: 0.0224 (0.0246) loss_rec_all: 0.0587 (0.0607) loss_rec_sfr: 0.0633 (0.0895) loss_cl: -0.3681 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [14:25:45.174930] Epoch: [171] [300/850] eta: 0:08:00 lr: 0.002227 loss: 0.0232 (0.0246) loss_rec_all: 0.0596 (0.0607) loss_rec_sfr: 0.0665 (0.0890) loss_cl: -0.3677 (-0.3672) time: 0.8619 data: 0.0003 max mem: 29859 [14:26:02.433440] Epoch: [171] [320/850] eta: 0:07:42 lr: 0.002227 loss: 0.0231 (0.0246) loss_rec_all: 0.0592 (0.0607) loss_rec_sfr: 0.0683 (0.0886) loss_cl: -0.3673 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [14:26:19.637667] Epoch: [171] [340/850] eta: 0:07:24 lr: 0.002227 loss: 0.0233 (0.0246) loss_rec_all: 0.0596 (0.0607) loss_rec_sfr: 0.0669 (0.0883) loss_cl: -0.3670 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [14:26:36.946636] Epoch: [171] [360/850] eta: 0:07:06 lr: 0.002227 loss: 0.0230 (0.0246) loss_rec_all: 0.0592 (0.0607) loss_rec_sfr: 0.0676 (0.0880) loss_cl: -0.3671 (-0.3672) time: 0.8654 data: 0.0003 max mem: 29859 [14:26:54.149447] Epoch: [171] [380/850] eta: 0:06:49 lr: 0.002227 loss: 0.0235 (0.0246) loss_rec_all: 0.0594 (0.0607) loss_rec_sfr: 0.0779 (0.0879) loss_cl: -0.3677 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [14:27:11.418498] Epoch: [171] [400/850] eta: 0:06:31 lr: 0.002227 loss: 0.0247 (0.0246) loss_rec_all: 0.0609 (0.0607) loss_rec_sfr: 0.0723 (0.0878) loss_cl: -0.3674 (-0.3672) time: 0.8634 data: 0.0002 max mem: 29859 [14:27:28.651570] Epoch: [171] [420/850] eta: 0:06:14 lr: 0.002227 loss: 0.0227 (0.0245) loss_rec_all: 0.0590 (0.0607) loss_rec_sfr: 0.0700 (0.0874) loss_cl: -0.3676 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [14:27:45.958384] Epoch: [171] [440/850] eta: 0:05:56 lr: 0.002227 loss: 0.0246 (0.0246) loss_rec_all: 0.0606 (0.0607) loss_rec_sfr: 0.0704 (0.0873) loss_cl: -0.3673 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [14:28:03.176235] Epoch: [171] [460/850] eta: 0:05:39 lr: 0.002227 loss: 0.0249 (0.0246) loss_rec_all: 0.0608 (0.0607) loss_rec_sfr: 0.0910 (0.0876) loss_cl: -0.3675 (-0.3673) time: 0.8608 data: 0.0002 max mem: 29859 [14:28:20.458266] Epoch: [171] [480/850] eta: 0:05:21 lr: 0.002227 loss: 0.0233 (0.0246) loss_rec_all: 0.0598 (0.0608) loss_rec_sfr: 0.0742 (0.0875) loss_cl: -0.3675 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [14:28:37.684668] Epoch: [171] [500/850] eta: 0:05:04 lr: 0.002227 loss: 0.0233 (0.0246) loss_rec_all: 0.0596 (0.0607) loss_rec_sfr: 0.0692 (0.0875) loss_cl: -0.3669 (-0.3673) time: 0.8613 data: 0.0003 max mem: 29859 [14:28:54.905788] Epoch: [171] [520/850] eta: 0:04:46 lr: 0.002227 loss: 0.0246 (0.0247) loss_rec_all: 0.0605 (0.0608) loss_rec_sfr: 0.0929 (0.0877) loss_cl: -0.3666 (-0.3672) time: 0.8610 data: 0.0002 max mem: 29859 [14:29:12.127777] Epoch: [171] [540/850] eta: 0:04:29 lr: 0.002227 loss: 0.0239 (0.0246) loss_rec_all: 0.0601 (0.0608) loss_rec_sfr: 0.0669 (0.0874) loss_cl: -0.3673 (-0.3672) time: 0.8610 data: 0.0002 max mem: 29859 [14:29:29.404717] Epoch: [171] [560/850] eta: 0:04:11 lr: 0.002227 loss: 0.0233 (0.0246) loss_rec_all: 0.0597 (0.0608) loss_rec_sfr: 0.0693 (0.0876) loss_cl: -0.3677 (-0.3673) time: 0.8638 data: 0.0003 max mem: 29859 [14:29:46.584273] Epoch: [171] [580/850] eta: 0:03:54 lr: 0.002227 loss: 0.0258 (0.0247) loss_rec_all: 0.0617 (0.0608) loss_rec_sfr: 0.0880 (0.0880) loss_cl: -0.3676 (-0.3673) time: 0.8589 data: 0.0002 max mem: 29859 [14:30:03.803370] Epoch: [171] [600/850] eta: 0:03:36 lr: 0.002227 loss: 0.0255 (0.0247) loss_rec_all: 0.0617 (0.0608) loss_rec_sfr: 0.0877 (0.0883) loss_cl: -0.3674 (-0.3673) time: 0.8609 data: 0.0002 max mem: 29859 [14:30:21.061304] Epoch: [171] [620/850] eta: 0:03:19 lr: 0.002226 loss: 0.0245 (0.0247) loss_rec_all: 0.0607 (0.0609) loss_rec_sfr: 0.0674 (0.0878) loss_cl: -0.3676 (-0.3673) time: 0.8628 data: 0.0003 max mem: 29859 [14:30:38.290778] Epoch: [171] [640/850] eta: 0:03:02 lr: 0.002226 loss: 0.0233 (0.0247) loss_rec_all: 0.0598 (0.0609) loss_rec_sfr: 0.0672 (0.0877) loss_cl: -0.3673 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [14:30:55.470069] Epoch: [171] [660/850] eta: 0:02:44 lr: 0.002226 loss: 0.0230 (0.0247) loss_rec_all: 0.0590 (0.0608) loss_rec_sfr: 0.0668 (0.0874) loss_cl: -0.3674 (-0.3673) time: 0.8589 data: 0.0002 max mem: 29859 [14:31:12.735947] Epoch: [171] [680/850] eta: 0:02:27 lr: 0.002226 loss: 0.0226 (0.0247) loss_rec_all: 0.0588 (0.0608) loss_rec_sfr: 0.0697 (0.0872) loss_cl: -0.3677 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [14:31:29.947511] Epoch: [171] [700/850] eta: 0:02:10 lr: 0.002226 loss: 0.0248 (0.0247) loss_rec_all: 0.0609 (0.0608) loss_rec_sfr: 0.0940 (0.0874) loss_cl: -0.3678 (-0.3673) time: 0.8605 data: 0.0002 max mem: 29859 [14:31:47.201959] Epoch: [171] [720/850] eta: 0:01:52 lr: 0.002226 loss: 0.0244 (0.0247) loss_rec_all: 0.0604 (0.0608) loss_rec_sfr: 0.1053 (0.0877) loss_cl: -0.3676 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [14:32:04.408186] Epoch: [171] [740/850] eta: 0:01:35 lr: 0.002226 loss: 0.0249 (0.0247) loss_rec_all: 0.0608 (0.0609) loss_rec_sfr: 0.0958 (0.0879) loss_cl: -0.3671 (-0.3673) time: 0.8603 data: 0.0002 max mem: 29859 [14:32:21.738233] Epoch: [171] [760/850] eta: 0:01:17 lr: 0.002226 loss: 0.0269 (0.0248) loss_rec_all: 0.0631 (0.0609) loss_rec_sfr: 0.0878 (0.0878) loss_cl: -0.3666 (-0.3673) time: 0.8665 data: 0.0003 max mem: 29859 [14:32:38.943045] Epoch: [171] [780/850] eta: 0:01:00 lr: 0.002226 loss: 0.0243 (0.0248) loss_rec_all: 0.0603 (0.0610) loss_rec_sfr: 0.1044 (0.0883) loss_cl: -0.3668 (-0.3673) time: 0.8602 data: 0.0002 max mem: 29859 [14:32:56.223724] Epoch: [171] [800/850] eta: 0:00:43 lr: 0.002226 loss: 0.0232 (0.0248) loss_rec_all: 0.0596 (0.0609) loss_rec_sfr: 0.0616 (0.0880) loss_cl: -0.3675 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [14:33:13.466034] Epoch: [171] [820/850] eta: 0:00:25 lr: 0.002226 loss: 0.0243 (0.0249) loss_rec_all: 0.0603 (0.0610) loss_rec_sfr: 0.0901 (0.0879) loss_cl: -0.3676 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [14:33:30.713224] Epoch: [171] [840/850] eta: 0:00:08 lr: 0.002226 loss: 0.0239 (0.0249) loss_rec_all: 0.0599 (0.0610) loss_rec_sfr: 0.0919 (0.0879) loss_cl: -0.3674 (-0.3673) time: 0.8623 data: 0.0005 max mem: 29859 [14:33:38.464045] Epoch: [171] [849/850] eta: 0:00:00 lr: 0.002226 loss: 0.0239 (0.0249) loss_rec_all: 0.0602 (0.0610) loss_rec_sfr: 0.0937 (0.0880) loss_cl: -0.3672 (-0.3673) time: 0.8623 data: 0.0004 max mem: 29859 [14:33:38.587320] Epoch: [171] Total time: 0:12:16 (0.8662 s / it) [14:33:38.601335] Averaged stats: lr: 0.002226 loss: 0.0239 (0.0249) loss_rec_all: 0.0602 (0.0610) loss_rec_sfr: 0.0937 (0.0883) loss_cl: -0.3672 (-0.3673) [14:33:38.611286] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [14:33:42.818429] Epoch: [172] [ 0/850] eta: 0:59:35 lr: 0.002226 loss: 0.0295 (0.0295) loss_rec_all: 0.0655 (0.0655) loss_rec_sfr: 0.0929 (0.0929) loss_cl: -0.3671 (-0.3671) time: 4.2062 data: 2.9381 max mem: 29859 [14:33:59.984132] Epoch: [172] [ 20/850] eta: 0:14:04 lr: 0.002226 loss: 0.0225 (0.0233) loss_rec_all: 0.0587 (0.0595) loss_rec_sfr: 0.0600 (0.0803) loss_cl: -0.3674 (-0.3673) time: 0.8582 data: 0.0002 max mem: 29859 [14:34:17.281728] Epoch: [172] [ 40/850] eta: 0:12:43 lr: 0.002226 loss: 0.0247 (0.0239) loss_rec_all: 0.0607 (0.0600) loss_rec_sfr: 0.0889 (0.0851) loss_cl: -0.3668 (-0.3671) time: 0.8648 data: 0.0002 max mem: 29859 [14:34:34.476893] Epoch: [172] [ 60/850] eta: 0:12:03 lr: 0.002226 loss: 0.0230 (0.0239) loss_rec_all: 0.0592 (0.0600) loss_rec_sfr: 0.0679 (0.0857) loss_cl: -0.3673 (-0.3671) time: 0.8597 data: 0.0002 max mem: 29859 [14:34:51.743241] Epoch: [172] [ 80/850] eta: 0:11:35 lr: 0.002226 loss: 0.0241 (0.0241) loss_rec_all: 0.0603 (0.0602) loss_rec_sfr: 0.0876 (0.0865) loss_cl: -0.3674 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [14:35:08.988295] Epoch: [172] [100/850] eta: 0:11:11 lr: 0.002225 loss: 0.0237 (0.0241) loss_rec_all: 0.0597 (0.0603) loss_rec_sfr: 0.0678 (0.0858) loss_cl: -0.3676 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [14:35:26.228762] Epoch: [172] [120/850] eta: 0:10:49 lr: 0.002225 loss: 0.0228 (0.0241) loss_rec_all: 0.0591 (0.0602) loss_rec_sfr: 0.0677 (0.0860) loss_cl: -0.3676 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [14:35:43.456389] Epoch: [172] [140/850] eta: 0:10:28 lr: 0.002225 loss: 0.0227 (0.0241) loss_rec_all: 0.0591 (0.0602) loss_rec_sfr: 0.0616 (0.0855) loss_cl: -0.3668 (-0.3672) time: 0.8613 data: 0.0002 max mem: 29859 [14:36:00.741190] Epoch: [172] [160/850] eta: 0:10:09 lr: 0.002225 loss: 0.0218 (0.0241) loss_rec_all: 0.0580 (0.0602) loss_rec_sfr: 0.0639 (0.0848) loss_cl: -0.3668 (-0.3672) time: 0.8642 data: 0.0002 max mem: 29859 [14:36:17.970721] Epoch: [172] [180/850] eta: 0:09:49 lr: 0.002225 loss: 0.0229 (0.0240) loss_rec_all: 0.0590 (0.0602) loss_rec_sfr: 0.0861 (0.0844) loss_cl: -0.3672 (-0.3672) time: 0.8614 data: 0.0002 max mem: 29859 [14:36:35.221624] Epoch: [172] [200/850] eta: 0:09:31 lr: 0.002225 loss: 0.0241 (0.0242) loss_rec_all: 0.0603 (0.0603) loss_rec_sfr: 0.0691 (0.0841) loss_cl: -0.3669 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [14:36:52.493735] Epoch: [172] [220/850] eta: 0:09:12 lr: 0.002225 loss: 0.0265 (0.0244) loss_rec_all: 0.0627 (0.0605) loss_rec_sfr: 0.0761 (0.0848) loss_cl: -0.3675 (-0.3672) time: 0.8636 data: 0.0003 max mem: 29859 [14:37:09.757849] Epoch: [172] [240/850] eta: 0:08:54 lr: 0.002225 loss: 0.0243 (0.0244) loss_rec_all: 0.0607 (0.0606) loss_rec_sfr: 0.0816 (0.0851) loss_cl: -0.3676 (-0.3672) time: 0.8632 data: 0.0002 max mem: 29859 [14:37:26.975997] Epoch: [172] [260/850] eta: 0:08:36 lr: 0.002225 loss: 0.0236 (0.0245) loss_rec_all: 0.0598 (0.0606) loss_rec_sfr: 0.0624 (0.0846) loss_cl: -0.3675 (-0.3673) time: 0.8609 data: 0.0002 max mem: 29859 [14:37:44.229712] Epoch: [172] [280/850] eta: 0:08:18 lr: 0.002225 loss: 0.0240 (0.0245) loss_rec_all: 0.0603 (0.0607) loss_rec_sfr: 0.0720 (0.0847) loss_cl: -0.3673 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [14:38:01.455979] Epoch: [172] [300/850] eta: 0:08:00 lr: 0.002225 loss: 0.0241 (0.0246) loss_rec_all: 0.0602 (0.0607) loss_rec_sfr: 0.0713 (0.0844) loss_cl: -0.3672 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [14:38:18.710198] Epoch: [172] [320/850] eta: 0:07:42 lr: 0.002225 loss: 0.0232 (0.0246) loss_rec_all: 0.0594 (0.0607) loss_rec_sfr: 0.0693 (0.0846) loss_cl: -0.3665 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [14:38:35.920991] Epoch: [172] [340/850] eta: 0:07:24 lr: 0.002225 loss: 0.0224 (0.0245) loss_rec_all: 0.0584 (0.0606) loss_rec_sfr: 0.0601 (0.0843) loss_cl: -0.3668 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [14:38:53.264289] Epoch: [172] [360/850] eta: 0:07:07 lr: 0.002225 loss: 0.0234 (0.0244) loss_rec_all: 0.0593 (0.0605) loss_rec_sfr: 0.0854 (0.0844) loss_cl: -0.3675 (-0.3672) time: 0.8671 data: 0.0003 max mem: 29859 [14:39:10.474279] Epoch: [172] [380/850] eta: 0:06:49 lr: 0.002225 loss: 0.0230 (0.0244) loss_rec_all: 0.0592 (0.0605) loss_rec_sfr: 0.0704 (0.0842) loss_cl: -0.3678 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [14:39:27.735181] Epoch: [172] [400/850] eta: 0:06:31 lr: 0.002225 loss: 0.0241 (0.0244) loss_rec_all: 0.0600 (0.0605) loss_rec_sfr: 0.1054 (0.0853) loss_cl: -0.3674 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [14:39:44.960347] Epoch: [172] [420/850] eta: 0:06:14 lr: 0.002224 loss: 0.0232 (0.0244) loss_rec_all: 0.0593 (0.0605) loss_rec_sfr: 0.0892 (0.0853) loss_cl: -0.3675 (-0.3672) time: 0.8612 data: 0.0002 max mem: 29859 [14:40:02.272741] Epoch: [172] [440/850] eta: 0:05:56 lr: 0.002224 loss: 0.0226 (0.0244) loss_rec_all: 0.0589 (0.0605) loss_rec_sfr: 0.0955 (0.0858) loss_cl: -0.3669 (-0.3672) time: 0.8656 data: 0.0002 max mem: 29859 [14:40:19.482366] Epoch: [172] [460/850] eta: 0:05:39 lr: 0.002224 loss: 0.0238 (0.0244) loss_rec_all: 0.0601 (0.0605) loss_rec_sfr: 0.0648 (0.0852) loss_cl: -0.3668 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [14:40:36.738433] Epoch: [172] [480/850] eta: 0:05:21 lr: 0.002224 loss: 0.0264 (0.0245) loss_rec_all: 0.0622 (0.0606) loss_rec_sfr: 0.0926 (0.0860) loss_cl: -0.3669 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [14:40:54.047893] Epoch: [172] [500/850] eta: 0:05:04 lr: 0.002224 loss: 0.0233 (0.0245) loss_rec_all: 0.0595 (0.0606) loss_rec_sfr: 0.0769 (0.0859) loss_cl: -0.3670 (-0.3672) time: 0.8654 data: 0.0002 max mem: 29859 [14:41:11.301607] Epoch: [172] [520/850] eta: 0:04:46 lr: 0.002224 loss: 0.0233 (0.0244) loss_rec_all: 0.0594 (0.0606) loss_rec_sfr: 0.0731 (0.0859) loss_cl: -0.3671 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [14:41:28.543317] Epoch: [172] [540/850] eta: 0:04:29 lr: 0.002224 loss: 0.0251 (0.0245) loss_rec_all: 0.0610 (0.0606) loss_rec_sfr: 0.0900 (0.0860) loss_cl: -0.3669 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [14:41:45.839494] Epoch: [172] [560/850] eta: 0:04:11 lr: 0.002224 loss: 0.0238 (0.0245) loss_rec_all: 0.0597 (0.0606) loss_rec_sfr: 0.0960 (0.0862) loss_cl: -0.3671 (-0.3672) time: 0.8648 data: 0.0002 max mem: 29859 [14:42:03.058103] Epoch: [172] [580/850] eta: 0:03:54 lr: 0.002224 loss: 0.0293 (0.0248) loss_rec_all: 0.0651 (0.0609) loss_rec_sfr: 0.1126 (0.0867) loss_cl: -0.3672 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [14:42:20.290451] Epoch: [172] [600/850] eta: 0:03:36 lr: 0.002224 loss: 0.0298 (0.0250) loss_rec_all: 0.0657 (0.0611) loss_rec_sfr: 0.0757 (0.0871) loss_cl: -0.3675 (-0.3672) time: 0.8616 data: 0.0001 max mem: 29859 [14:42:37.536934] Epoch: [172] [620/850] eta: 0:03:19 lr: 0.002224 loss: 0.0274 (0.0251) loss_rec_all: 0.0636 (0.0612) loss_rec_sfr: 0.1054 (0.0876) loss_cl: -0.3681 (-0.3672) time: 0.8623 data: 0.0003 max mem: 29859 [14:42:54.809293] Epoch: [172] [640/850] eta: 0:03:02 lr: 0.002224 loss: 0.0284 (0.0252) loss_rec_all: 0.0642 (0.0613) loss_rec_sfr: 0.1062 (0.0882) loss_cl: -0.3682 (-0.3672) time: 0.8636 data: 0.0002 max mem: 29859 [14:43:12.014807] Epoch: [172] [660/850] eta: 0:02:44 lr: 0.002224 loss: 0.0256 (0.0253) loss_rec_all: 0.0616 (0.0614) loss_rec_sfr: 0.0992 (0.0883) loss_cl: -0.3679 (-0.3673) time: 0.8602 data: 0.0002 max mem: 29859 [14:43:29.327071] Epoch: [172] [680/850] eta: 0:02:27 lr: 0.002224 loss: 0.0237 (0.0253) loss_rec_all: 0.0600 (0.0614) loss_rec_sfr: 0.0675 (0.0879) loss_cl: -0.3670 (-0.3672) time: 0.8656 data: 0.0002 max mem: 29859 [14:43:46.542538] Epoch: [172] [700/850] eta: 0:02:10 lr: 0.002224 loss: 0.0240 (0.0253) loss_rec_all: 0.0602 (0.0614) loss_rec_sfr: 0.0692 (0.0877) loss_cl: -0.3669 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [14:44:03.803744] Epoch: [172] [720/850] eta: 0:01:52 lr: 0.002224 loss: 0.0247 (0.0253) loss_rec_all: 0.0609 (0.0614) loss_rec_sfr: 0.0903 (0.0877) loss_cl: -0.3671 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [14:44:21.025143] Epoch: [172] [740/850] eta: 0:01:35 lr: 0.002224 loss: 0.0244 (0.0252) loss_rec_all: 0.0606 (0.0613) loss_rec_sfr: 0.0978 (0.0878) loss_cl: -0.3673 (-0.3672) time: 0.8610 data: 0.0002 max mem: 29859 [14:44:38.330065] Epoch: [172] [760/850] eta: 0:01:18 lr: 0.002223 loss: 0.0249 (0.0252) loss_rec_all: 0.0609 (0.0613) loss_rec_sfr: 0.0914 (0.0879) loss_cl: -0.3673 (-0.3672) time: 0.8652 data: 0.0002 max mem: 29859 [14:44:55.544257] Epoch: [172] [780/850] eta: 0:01:00 lr: 0.002223 loss: 0.0246 (0.0252) loss_rec_all: 0.0605 (0.0613) loss_rec_sfr: 0.0900 (0.0878) loss_cl: -0.3676 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [14:45:12.796112] Epoch: [172] [800/850] eta: 0:00:43 lr: 0.002223 loss: 0.0221 (0.0252) loss_rec_all: 0.0584 (0.0613) loss_rec_sfr: 0.0631 (0.0876) loss_cl: -0.3677 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [14:45:30.057562] Epoch: [172] [820/850] eta: 0:00:25 lr: 0.002223 loss: 0.0239 (0.0252) loss_rec_all: 0.0598 (0.0613) loss_rec_sfr: 0.0734 (0.0875) loss_cl: -0.3669 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [14:45:47.293023] Epoch: [172] [840/850] eta: 0:00:08 lr: 0.002223 loss: 0.0219 (0.0251) loss_rec_all: 0.0581 (0.0612) loss_rec_sfr: 0.0627 (0.0873) loss_cl: -0.3666 (-0.3672) time: 0.8617 data: 0.0003 max mem: 29859 [14:45:55.052557] Epoch: [172] [849/850] eta: 0:00:00 lr: 0.002223 loss: 0.0220 (0.0251) loss_rec_all: 0.0580 (0.0612) loss_rec_sfr: 0.0669 (0.0873) loss_cl: -0.3666 (-0.3672) time: 0.8624 data: 0.0003 max mem: 29859 [14:45:55.203467] Epoch: [172] Total time: 0:12:16 (0.8666 s / it) [14:45:55.206171] Averaged stats: lr: 0.002223 loss: 0.0220 (0.0251) loss_rec_all: 0.0580 (0.0612) loss_rec_sfr: 0.0669 (0.0875) loss_cl: -0.3666 (-0.3673) [14:45:55.218651] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [14:45:59.553331] Epoch: [173] [ 0/850] eta: 1:01:23 lr: 0.002223 loss: 0.0258 (0.0258) loss_rec_all: 0.0615 (0.0615) loss_rec_sfr: 0.1220 (0.1220) loss_cl: -0.3657 (-0.3657) time: 4.3339 data: 3.4802 max mem: 29859 [14:46:16.744901] Epoch: [173] [ 20/850] eta: 0:14:10 lr: 0.002223 loss: 0.0232 (0.0237) loss_rec_all: 0.0594 (0.0598) loss_rec_sfr: 0.0623 (0.0842) loss_cl: -0.3667 (-0.3665) time: 0.8595 data: 0.0002 max mem: 29859 [14:46:34.023049] Epoch: [173] [ 40/850] eta: 0:12:46 lr: 0.002223 loss: 0.0249 (0.0248) loss_rec_all: 0.0612 (0.0609) loss_rec_sfr: 0.0723 (0.0834) loss_cl: -0.3670 (-0.3668) time: 0.8638 data: 0.0002 max mem: 29859 [14:46:51.217520] Epoch: [173] [ 60/850] eta: 0:12:05 lr: 0.002223 loss: 0.0256 (0.0256) loss_rec_all: 0.0615 (0.0617) loss_rec_sfr: 0.0934 (0.0861) loss_cl: -0.3678 (-0.3671) time: 0.8597 data: 0.0002 max mem: 29859 [14:47:08.507759] Epoch: [173] [ 80/850] eta: 0:11:36 lr: 0.002223 loss: 0.0241 (0.0252) loss_rec_all: 0.0604 (0.0613) loss_rec_sfr: 0.0714 (0.0864) loss_cl: -0.3680 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [14:47:25.775481] Epoch: [173] [100/850] eta: 0:11:12 lr: 0.002223 loss: 0.0261 (0.0253) loss_rec_all: 0.0619 (0.0614) loss_rec_sfr: 0.0909 (0.0888) loss_cl: -0.3675 (-0.3673) time: 0.8633 data: 0.0003 max mem: 29859 [14:47:43.019105] Epoch: [173] [120/850] eta: 0:10:50 lr: 0.002223 loss: 0.0246 (0.0253) loss_rec_all: 0.0605 (0.0614) loss_rec_sfr: 0.0919 (0.0902) loss_cl: -0.3667 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [14:48:00.259079] Epoch: [173] [140/850] eta: 0:10:29 lr: 0.002223 loss: 0.0232 (0.0253) loss_rec_all: 0.0595 (0.0613) loss_rec_sfr: 0.0734 (0.0890) loss_cl: -0.3668 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [14:48:17.550083] Epoch: [173] [160/850] eta: 0:10:09 lr: 0.002223 loss: 0.0232 (0.0251) loss_rec_all: 0.0591 (0.0612) loss_rec_sfr: 0.0745 (0.0882) loss_cl: -0.3669 (-0.3671) time: 0.8645 data: 0.0002 max mem: 29859 [14:48:34.778078] Epoch: [173] [180/850] eta: 0:09:50 lr: 0.002223 loss: 0.0233 (0.0250) loss_rec_all: 0.0593 (0.0611) loss_rec_sfr: 0.0774 (0.0878) loss_cl: -0.3673 (-0.3672) time: 0.8614 data: 0.0002 max mem: 29859 [14:48:52.032207] Epoch: [173] [200/850] eta: 0:09:31 lr: 0.002223 loss: 0.0219 (0.0248) loss_rec_all: 0.0584 (0.0609) loss_rec_sfr: 0.0610 (0.0871) loss_cl: -0.3677 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [14:49:09.322916] Epoch: [173] [220/850] eta: 0:09:13 lr: 0.002223 loss: 0.0228 (0.0247) loss_rec_all: 0.0588 (0.0608) loss_rec_sfr: 0.0865 (0.0866) loss_cl: -0.3677 (-0.3672) time: 0.8645 data: 0.0003 max mem: 29859 [14:49:26.592837] Epoch: [173] [240/850] eta: 0:08:54 lr: 0.002222 loss: 0.0222 (0.0245) loss_rec_all: 0.0585 (0.0606) loss_rec_sfr: 0.0730 (0.0869) loss_cl: -0.3671 (-0.3672) time: 0.8634 data: 0.0002 max mem: 29859 [14:49:43.809345] Epoch: [173] [260/850] eta: 0:08:36 lr: 0.002222 loss: 0.0225 (0.0244) loss_rec_all: 0.0587 (0.0605) loss_rec_sfr: 0.0673 (0.0863) loss_cl: -0.3667 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [14:50:01.101197] Epoch: [173] [280/850] eta: 0:08:18 lr: 0.002222 loss: 0.0224 (0.0243) loss_rec_all: 0.0584 (0.0604) loss_rec_sfr: 0.0709 (0.0861) loss_cl: -0.3664 (-0.3672) time: 0.8645 data: 0.0003 max mem: 29859 [14:50:18.340656] Epoch: [173] [300/850] eta: 0:08:00 lr: 0.002222 loss: 0.0233 (0.0243) loss_rec_all: 0.0593 (0.0604) loss_rec_sfr: 0.0890 (0.0864) loss_cl: -0.3670 (-0.3671) time: 0.8619 data: 0.0002 max mem: 29859 [14:50:35.607241] Epoch: [173] [320/850] eta: 0:07:42 lr: 0.002222 loss: 0.0221 (0.0243) loss_rec_all: 0.0584 (0.0604) loss_rec_sfr: 0.0703 (0.0861) loss_cl: -0.3676 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [14:50:52.828149] Epoch: [173] [340/850] eta: 0:07:25 lr: 0.002222 loss: 0.0234 (0.0243) loss_rec_all: 0.0598 (0.0604) loss_rec_sfr: 0.0648 (0.0856) loss_cl: -0.3683 (-0.3672) time: 0.8610 data: 0.0002 max mem: 29859 [14:51:10.150951] Epoch: [173] [360/850] eta: 0:07:07 lr: 0.002222 loss: 0.0222 (0.0243) loss_rec_all: 0.0585 (0.0604) loss_rec_sfr: 0.0705 (0.0856) loss_cl: -0.3682 (-0.3673) time: 0.8661 data: 0.0002 max mem: 29859 [14:51:27.358298] Epoch: [173] [380/850] eta: 0:06:49 lr: 0.002222 loss: 0.0230 (0.0243) loss_rec_all: 0.0591 (0.0604) loss_rec_sfr: 0.0622 (0.0853) loss_cl: -0.3677 (-0.3673) time: 0.8603 data: 0.0002 max mem: 29859 [14:51:44.635868] Epoch: [173] [400/850] eta: 0:06:32 lr: 0.002222 loss: 0.0244 (0.0243) loss_rec_all: 0.0604 (0.0604) loss_rec_sfr: 0.0766 (0.0853) loss_cl: -0.3676 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [14:52:01.883328] Epoch: [173] [420/850] eta: 0:06:14 lr: 0.002222 loss: 0.0244 (0.0243) loss_rec_all: 0.0604 (0.0604) loss_rec_sfr: 0.0960 (0.0860) loss_cl: -0.3672 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [14:52:19.128358] Epoch: [173] [440/850] eta: 0:05:56 lr: 0.002222 loss: 0.0257 (0.0244) loss_rec_all: 0.0616 (0.0605) loss_rec_sfr: 0.0955 (0.0866) loss_cl: -0.3667 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [14:52:36.348590] Epoch: [173] [460/850] eta: 0:05:39 lr: 0.002222 loss: 0.0252 (0.0244) loss_rec_all: 0.0614 (0.0606) loss_rec_sfr: 0.0743 (0.0869) loss_cl: -0.3666 (-0.3672) time: 0.8610 data: 0.0002 max mem: 29859 [14:52:53.653922] Epoch: [173] [480/850] eta: 0:05:21 lr: 0.002222 loss: 0.0243 (0.0244) loss_rec_all: 0.0605 (0.0605) loss_rec_sfr: 0.0756 (0.0869) loss_cl: -0.3671 (-0.3672) time: 0.8652 data: 0.0002 max mem: 29859 [14:53:10.887165] Epoch: [173] [500/850] eta: 0:05:04 lr: 0.002222 loss: 0.0237 (0.0244) loss_rec_all: 0.0599 (0.0605) loss_rec_sfr: 0.0698 (0.0869) loss_cl: -0.3676 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [14:53:28.136920] Epoch: [173] [520/850] eta: 0:04:46 lr: 0.002222 loss: 0.0243 (0.0244) loss_rec_all: 0.0603 (0.0605) loss_rec_sfr: 0.1000 (0.0873) loss_cl: -0.3678 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [14:53:45.401866] Epoch: [173] [540/850] eta: 0:04:29 lr: 0.002222 loss: 0.0225 (0.0244) loss_rec_all: 0.0586 (0.0605) loss_rec_sfr: 0.0775 (0.0873) loss_cl: -0.3678 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [14:54:02.662865] Epoch: [173] [560/850] eta: 0:04:11 lr: 0.002221 loss: 0.0225 (0.0244) loss_rec_all: 0.0589 (0.0605) loss_rec_sfr: 0.0627 (0.0868) loss_cl: -0.3670 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [14:54:19.890935] Epoch: [173] [580/850] eta: 0:03:54 lr: 0.002221 loss: 0.0243 (0.0244) loss_rec_all: 0.0603 (0.0605) loss_rec_sfr: 0.0910 (0.0869) loss_cl: -0.3675 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [14:54:37.154385] Epoch: [173] [600/850] eta: 0:03:37 lr: 0.002221 loss: 0.0243 (0.0244) loss_rec_all: 0.0606 (0.0606) loss_rec_sfr: 0.0876 (0.0870) loss_cl: -0.3677 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [14:54:54.389592] Epoch: [173] [620/850] eta: 0:03:19 lr: 0.002221 loss: 0.0231 (0.0244) loss_rec_all: 0.0594 (0.0606) loss_rec_sfr: 0.0742 (0.0872) loss_cl: -0.3677 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [14:55:11.656322] Epoch: [173] [640/850] eta: 0:03:02 lr: 0.002221 loss: 0.0226 (0.0244) loss_rec_all: 0.0588 (0.0605) loss_rec_sfr: 0.0716 (0.0868) loss_cl: -0.3675 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [14:55:28.861108] Epoch: [173] [660/850] eta: 0:02:44 lr: 0.002221 loss: 0.0247 (0.0244) loss_rec_all: 0.0606 (0.0605) loss_rec_sfr: 0.1096 (0.0873) loss_cl: -0.3673 (-0.3673) time: 0.8602 data: 0.0002 max mem: 29859 [14:55:46.188637] Epoch: [173] [680/850] eta: 0:02:27 lr: 0.002221 loss: 0.0215 (0.0244) loss_rec_all: 0.0574 (0.0605) loss_rec_sfr: 0.0754 (0.0871) loss_cl: -0.3668 (-0.3673) time: 0.8663 data: 0.0002 max mem: 29859 [14:56:03.398649] Epoch: [173] [700/850] eta: 0:02:10 lr: 0.002221 loss: 0.0230 (0.0243) loss_rec_all: 0.0587 (0.0604) loss_rec_sfr: 0.0838 (0.0872) loss_cl: -0.3667 (-0.3673) time: 0.8605 data: 0.0002 max mem: 29859 [14:56:20.684124] Epoch: [173] [720/850] eta: 0:01:52 lr: 0.002221 loss: 0.0229 (0.0243) loss_rec_all: 0.0590 (0.0604) loss_rec_sfr: 0.0853 (0.0872) loss_cl: -0.3664 (-0.3672) time: 0.8642 data: 0.0002 max mem: 29859 [14:56:37.950644] Epoch: [173] [740/850] eta: 0:01:35 lr: 0.002221 loss: 0.0250 (0.0244) loss_rec_all: 0.0610 (0.0605) loss_rec_sfr: 0.0940 (0.0874) loss_cl: -0.3671 (-0.3672) time: 0.8633 data: 0.0003 max mem: 29859 [14:56:55.213507] Epoch: [173] [760/850] eta: 0:01:18 lr: 0.002221 loss: 0.0235 (0.0244) loss_rec_all: 0.0599 (0.0605) loss_rec_sfr: 0.0660 (0.0873) loss_cl: -0.3677 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [14:57:12.440877] Epoch: [173] [780/850] eta: 0:01:00 lr: 0.002221 loss: 0.0238 (0.0244) loss_rec_all: 0.0601 (0.0605) loss_rec_sfr: 0.0919 (0.0873) loss_cl: -0.3681 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [14:57:29.733607] Epoch: [173] [800/850] eta: 0:00:43 lr: 0.002221 loss: 0.0262 (0.0244) loss_rec_all: 0.0624 (0.0605) loss_rec_sfr: 0.0692 (0.0872) loss_cl: -0.3674 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [14:57:46.945570] Epoch: [173] [820/850] eta: 0:00:26 lr: 0.002221 loss: 0.0259 (0.0245) loss_rec_all: 0.0622 (0.0606) loss_rec_sfr: 0.0704 (0.0871) loss_cl: -0.3671 (-0.3673) time: 0.8606 data: 0.0002 max mem: 29859 [14:58:04.174404] Epoch: [173] [840/850] eta: 0:00:08 lr: 0.002221 loss: 0.0251 (0.0245) loss_rec_all: 0.0612 (0.0606) loss_rec_sfr: 0.0686 (0.0871) loss_cl: -0.3668 (-0.3672) time: 0.8614 data: 0.0005 max mem: 29859 [14:58:11.939594] Epoch: [173] [849/850] eta: 0:00:00 lr: 0.002221 loss: 0.0276 (0.0246) loss_rec_all: 0.0638 (0.0607) loss_rec_sfr: 0.0957 (0.0874) loss_cl: -0.3670 (-0.3672) time: 0.8625 data: 0.0005 max mem: 29859 [14:58:12.092493] Epoch: [173] Total time: 0:12:16 (0.8669 s / it) [14:58:12.096889] Averaged stats: lr: 0.002221 loss: 0.0276 (0.0245) loss_rec_all: 0.0638 (0.0606) loss_rec_sfr: 0.0957 (0.0872) loss_cl: -0.3670 (-0.3672) [14:58:12.112647] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [14:58:16.807420] Epoch: [174] [ 0/850] eta: 1:06:29 lr: 0.002221 loss: 0.0241 (0.0241) loss_rec_all: 0.0603 (0.0603) loss_rec_sfr: 0.0729 (0.0729) loss_cl: -0.3670 (-0.3670) time: 4.6938 data: 3.6567 max mem: 29859 [14:58:34.011509] Epoch: [174] [ 20/850] eta: 0:14:25 lr: 0.002221 loss: 0.0262 (0.0268) loss_rec_all: 0.0621 (0.0628) loss_rec_sfr: 0.0767 (0.0930) loss_cl: -0.3672 (-0.3670) time: 0.8601 data: 0.0002 max mem: 29859 [14:58:51.253987] Epoch: [174] [ 40/850] eta: 0:12:53 lr: 0.002220 loss: 0.0269 (0.0273) loss_rec_all: 0.0627 (0.0633) loss_rec_sfr: 0.0908 (0.0940) loss_cl: -0.3676 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [14:59:08.455357] Epoch: [174] [ 60/850] eta: 0:12:09 lr: 0.002220 loss: 0.0247 (0.0267) loss_rec_all: 0.0610 (0.0628) loss_rec_sfr: 0.1066 (0.0974) loss_cl: -0.3677 (-0.3674) time: 0.8600 data: 0.0002 max mem: 29859 [14:59:25.784106] Epoch: [174] [ 80/850] eta: 0:11:40 lr: 0.002220 loss: 0.0240 (0.0263) loss_rec_all: 0.0603 (0.0623) loss_rec_sfr: 0.0699 (0.0957) loss_cl: -0.3680 (-0.3675) time: 0.8664 data: 0.0002 max mem: 29859 [14:59:43.005255] Epoch: [174] [100/850] eta: 0:11:14 lr: 0.002220 loss: 0.0240 (0.0259) loss_rec_all: 0.0602 (0.0620) loss_rec_sfr: 0.0693 (0.0944) loss_cl: -0.3679 (-0.3676) time: 0.8610 data: 0.0002 max mem: 29859 [15:00:00.258498] Epoch: [174] [120/850] eta: 0:10:52 lr: 0.002220 loss: 0.0230 (0.0255) loss_rec_all: 0.0589 (0.0616) loss_rec_sfr: 0.0681 (0.0916) loss_cl: -0.3673 (-0.3675) time: 0.8626 data: 0.0002 max mem: 29859 [15:00:17.523553] Epoch: [174] [140/850] eta: 0:10:31 lr: 0.002220 loss: 0.0243 (0.0254) loss_rec_all: 0.0602 (0.0615) loss_rec_sfr: 0.0950 (0.0920) loss_cl: -0.3673 (-0.3675) time: 0.8632 data: 0.0002 max mem: 29859 [15:00:34.793333] Epoch: [174] [160/850] eta: 0:10:11 lr: 0.002220 loss: 0.0238 (0.0253) loss_rec_all: 0.0600 (0.0614) loss_rec_sfr: 0.0937 (0.0922) loss_cl: -0.3677 (-0.3675) time: 0.8634 data: 0.0002 max mem: 29859 [15:00:52.015434] Epoch: [174] [180/850] eta: 0:09:51 lr: 0.002220 loss: 0.0214 (0.0250) loss_rec_all: 0.0578 (0.0611) loss_rec_sfr: 0.0837 (0.0918) loss_cl: -0.3673 (-0.3674) time: 0.8611 data: 0.0002 max mem: 29859 [15:01:09.286367] Epoch: [174] [200/850] eta: 0:09:32 lr: 0.002220 loss: 0.0218 (0.0248) loss_rec_all: 0.0580 (0.0609) loss_rec_sfr: 0.0598 (0.0907) loss_cl: -0.3671 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [15:01:26.539215] Epoch: [174] [220/850] eta: 0:09:14 lr: 0.002220 loss: 0.0237 (0.0248) loss_rec_all: 0.0597 (0.0609) loss_rec_sfr: 0.0962 (0.0915) loss_cl: -0.3673 (-0.3674) time: 0.8626 data: 0.0002 max mem: 29859 [15:01:43.787888] Epoch: [174] [240/850] eta: 0:08:55 lr: 0.002220 loss: 0.0234 (0.0248) loss_rec_all: 0.0594 (0.0609) loss_rec_sfr: 0.0868 (0.0911) loss_cl: -0.3668 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [15:02:01.011707] Epoch: [174] [260/850] eta: 0:08:37 lr: 0.002220 loss: 0.0228 (0.0247) loss_rec_all: 0.0590 (0.0608) loss_rec_sfr: 0.0650 (0.0909) loss_cl: -0.3668 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [15:02:18.347682] Epoch: [174] [280/850] eta: 0:08:19 lr: 0.002220 loss: 0.0215 (0.0245) loss_rec_all: 0.0578 (0.0606) loss_rec_sfr: 0.0643 (0.0897) loss_cl: -0.3667 (-0.3673) time: 0.8667 data: 0.0003 max mem: 29859 [15:02:35.560561] Epoch: [174] [300/850] eta: 0:08:01 lr: 0.002220 loss: 0.0225 (0.0245) loss_rec_all: 0.0588 (0.0606) loss_rec_sfr: 0.0740 (0.0895) loss_cl: -0.3672 (-0.3673) time: 0.8606 data: 0.0002 max mem: 29859 [15:02:52.810733] Epoch: [174] [320/850] eta: 0:07:43 lr: 0.002220 loss: 0.0231 (0.0244) loss_rec_all: 0.0592 (0.0605) loss_rec_sfr: 0.0780 (0.0894) loss_cl: -0.3672 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [15:03:10.045940] Epoch: [174] [340/850] eta: 0:07:25 lr: 0.002220 loss: 0.0230 (0.0244) loss_rec_all: 0.0592 (0.0605) loss_rec_sfr: 0.0746 (0.0891) loss_cl: -0.3666 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [15:03:27.291082] Epoch: [174] [360/850] eta: 0:07:07 lr: 0.002219 loss: 0.0241 (0.0244) loss_rec_all: 0.0598 (0.0605) loss_rec_sfr: 0.0970 (0.0894) loss_cl: -0.3670 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [15:03:44.497843] Epoch: [174] [380/850] eta: 0:06:50 lr: 0.002219 loss: 0.0232 (0.0244) loss_rec_all: 0.0596 (0.0605) loss_rec_sfr: 0.0668 (0.0892) loss_cl: -0.3675 (-0.3672) time: 0.8603 data: 0.0001 max mem: 29859 [15:04:01.821373] Epoch: [174] [400/850] eta: 0:06:32 lr: 0.002219 loss: 0.0245 (0.0245) loss_rec_all: 0.0606 (0.0606) loss_rec_sfr: 0.0932 (0.0893) loss_cl: -0.3685 (-0.3673) time: 0.8661 data: 0.0002 max mem: 29859 [15:04:19.025685] Epoch: [174] [420/850] eta: 0:06:14 lr: 0.002219 loss: 0.0231 (0.0245) loss_rec_all: 0.0595 (0.0606) loss_rec_sfr: 0.0646 (0.0887) loss_cl: -0.3678 (-0.3673) time: 0.8602 data: 0.0002 max mem: 29859 [15:04:36.262982] Epoch: [174] [440/850] eta: 0:05:57 lr: 0.002219 loss: 0.0259 (0.0246) loss_rec_all: 0.0618 (0.0607) loss_rec_sfr: 0.1098 (0.0898) loss_cl: -0.3671 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [15:04:53.467745] Epoch: [174] [460/850] eta: 0:05:39 lr: 0.002219 loss: 0.0249 (0.0247) loss_rec_all: 0.0608 (0.0608) loss_rec_sfr: 0.0957 (0.0900) loss_cl: -0.3665 (-0.3673) time: 0.8602 data: 0.0002 max mem: 29859 [15:05:10.734119] Epoch: [174] [480/850] eta: 0:05:21 lr: 0.002219 loss: 0.0231 (0.0246) loss_rec_all: 0.0592 (0.0607) loss_rec_sfr: 0.0612 (0.0894) loss_cl: -0.3662 (-0.3672) time: 0.8632 data: 0.0002 max mem: 29859 [15:05:27.945755] Epoch: [174] [500/850] eta: 0:05:04 lr: 0.002219 loss: 0.0226 (0.0246) loss_rec_all: 0.0588 (0.0607) loss_rec_sfr: 0.0656 (0.0891) loss_cl: -0.3671 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [15:05:45.225636] Epoch: [174] [520/850] eta: 0:04:46 lr: 0.002219 loss: 0.0235 (0.0245) loss_rec_all: 0.0599 (0.0606) loss_rec_sfr: 0.0717 (0.0888) loss_cl: -0.3677 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [15:06:02.444392] Epoch: [174] [540/850] eta: 0:04:29 lr: 0.002219 loss: 0.0236 (0.0245) loss_rec_all: 0.0597 (0.0606) loss_rec_sfr: 0.0720 (0.0888) loss_cl: -0.3681 (-0.3673) time: 0.8609 data: 0.0002 max mem: 29859 [15:06:19.656154] Epoch: [174] [560/850] eta: 0:04:12 lr: 0.002219 loss: 0.0225 (0.0245) loss_rec_all: 0.0586 (0.0606) loss_rec_sfr: 0.0668 (0.0885) loss_cl: -0.3673 (-0.3673) time: 0.8605 data: 0.0001 max mem: 29859 [15:06:36.869952] Epoch: [174] [580/850] eta: 0:03:54 lr: 0.002219 loss: 0.0227 (0.0244) loss_rec_all: 0.0587 (0.0605) loss_rec_sfr: 0.0639 (0.0882) loss_cl: -0.3672 (-0.3673) time: 0.8606 data: 0.0002 max mem: 29859 [15:06:54.178567] Epoch: [174] [600/850] eta: 0:03:37 lr: 0.002219 loss: 0.0245 (0.0245) loss_rec_all: 0.0602 (0.0606) loss_rec_sfr: 0.0664 (0.0880) loss_cl: -0.3669 (-0.3673) time: 0.8654 data: 0.0002 max mem: 29859 [15:07:11.383385] Epoch: [174] [620/850] eta: 0:03:19 lr: 0.002219 loss: 0.0254 (0.0245) loss_rec_all: 0.0613 (0.0606) loss_rec_sfr: 0.0995 (0.0883) loss_cl: -0.3665 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [15:07:28.617455] Epoch: [174] [640/850] eta: 0:03:02 lr: 0.002219 loss: 0.0242 (0.0246) loss_rec_all: 0.0605 (0.0607) loss_rec_sfr: 0.0685 (0.0883) loss_cl: -0.3674 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [15:07:45.860570] Epoch: [174] [660/850] eta: 0:02:44 lr: 0.002219 loss: 0.0238 (0.0246) loss_rec_all: 0.0601 (0.0607) loss_rec_sfr: 0.0858 (0.0883) loss_cl: -0.3674 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [15:08:03.133265] Epoch: [174] [680/850] eta: 0:02:27 lr: 0.002218 loss: 0.0246 (0.0246) loss_rec_all: 0.0606 (0.0607) loss_rec_sfr: 0.0927 (0.0884) loss_cl: -0.3672 (-0.3672) time: 0.8636 data: 0.0002 max mem: 29859 [15:08:20.366188] Epoch: [174] [700/850] eta: 0:02:10 lr: 0.002218 loss: 0.0228 (0.0246) loss_rec_all: 0.0587 (0.0607) loss_rec_sfr: 0.0889 (0.0884) loss_cl: -0.3676 (-0.3673) time: 0.8616 data: 0.0003 max mem: 29859 [15:08:37.639387] Epoch: [174] [720/850] eta: 0:01:52 lr: 0.002218 loss: 0.0233 (0.0246) loss_rec_all: 0.0595 (0.0607) loss_rec_sfr: 0.0764 (0.0882) loss_cl: -0.3677 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [15:08:54.896225] Epoch: [174] [740/850] eta: 0:01:35 lr: 0.002218 loss: 0.0246 (0.0246) loss_rec_all: 0.0608 (0.0607) loss_rec_sfr: 0.0671 (0.0881) loss_cl: -0.3678 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [15:09:12.146659] Epoch: [174] [760/850] eta: 0:01:18 lr: 0.002218 loss: 0.0264 (0.0247) loss_rec_all: 0.0626 (0.0608) loss_rec_sfr: 0.0700 (0.0879) loss_cl: -0.3679 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [15:09:29.394780] Epoch: [174] [780/850] eta: 0:01:00 lr: 0.002218 loss: 0.0273 (0.0248) loss_rec_all: 0.0633 (0.0609) loss_rec_sfr: 0.0967 (0.0880) loss_cl: -0.3679 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [15:09:46.682640] Epoch: [174] [800/850] eta: 0:00:43 lr: 0.002218 loss: 0.0266 (0.0248) loss_rec_all: 0.0625 (0.0610) loss_rec_sfr: 0.0994 (0.0882) loss_cl: -0.3677 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [15:10:03.906418] Epoch: [174] [820/850] eta: 0:00:26 lr: 0.002218 loss: 0.0251 (0.0249) loss_rec_all: 0.0612 (0.0610) loss_rec_sfr: 0.0922 (0.0883) loss_cl: -0.3673 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [15:10:21.161307] Epoch: [174] [840/850] eta: 0:00:08 lr: 0.002218 loss: 0.0251 (0.0249) loss_rec_all: 0.0612 (0.0610) loss_rec_sfr: 0.0721 (0.0883) loss_cl: -0.3667 (-0.3673) time: 0.8627 data: 0.0005 max mem: 29859 [15:10:28.927882] Epoch: [174] [849/850] eta: 0:00:00 lr: 0.002218 loss: 0.0251 (0.0249) loss_rec_all: 0.0612 (0.0610) loss_rec_sfr: 0.0919 (0.0883) loss_cl: -0.3667 (-0.3673) time: 0.8635 data: 0.0004 max mem: 29859 [15:10:29.100540] Epoch: [174] Total time: 0:12:16 (0.8670 s / it) [15:10:29.104207] Averaged stats: lr: 0.002218 loss: 0.0251 (0.0249) loss_rec_all: 0.0612 (0.0610) loss_rec_sfr: 0.0919 (0.0876) loss_cl: -0.3667 (-0.3673) [15:10:29.120147] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [15:10:33.214841] Epoch: [175] [ 0/850] eta: 0:57:59 lr: 0.002218 loss: 0.0314 (0.0314) loss_rec_all: 0.0674 (0.0674) loss_rec_sfr: 0.1001 (0.1001) loss_cl: -0.3676 (-0.3676) time: 4.0939 data: 3.2356 max mem: 29859 [15:10:50.432292] Epoch: [175] [ 20/850] eta: 0:14:02 lr: 0.002218 loss: 0.0224 (0.0241) loss_rec_all: 0.0584 (0.0602) loss_rec_sfr: 0.0674 (0.0789) loss_cl: -0.3665 (-0.3666) time: 0.8608 data: 0.0002 max mem: 29859 [15:11:07.676975] Epoch: [175] [ 40/850] eta: 0:12:41 lr: 0.002218 loss: 0.0263 (0.0252) loss_rec_all: 0.0621 (0.0613) loss_rec_sfr: 0.0932 (0.0886) loss_cl: -0.3670 (-0.3668) time: 0.8622 data: 0.0002 max mem: 29859 [15:11:24.951717] Epoch: [175] [ 60/850] eta: 0:12:03 lr: 0.002218 loss: 0.0241 (0.0253) loss_rec_all: 0.0603 (0.0614) loss_rec_sfr: 0.0713 (0.0884) loss_cl: -0.3674 (-0.3670) time: 0.8637 data: 0.0003 max mem: 29859 [15:11:42.217468] Epoch: [175] [ 80/850] eta: 0:11:34 lr: 0.002218 loss: 0.0227 (0.0249) loss_rec_all: 0.0591 (0.0610) loss_rec_sfr: 0.0660 (0.0880) loss_cl: -0.3673 (-0.3670) time: 0.8632 data: 0.0002 max mem: 29859 [15:11:59.438027] Epoch: [175] [100/850] eta: 0:11:10 lr: 0.002218 loss: 0.0230 (0.0247) loss_rec_all: 0.0594 (0.0608) loss_rec_sfr: 0.0612 (0.0857) loss_cl: -0.3673 (-0.3671) time: 0.8610 data: 0.0002 max mem: 29859 [15:12:16.695149] Epoch: [175] [120/850] eta: 0:10:48 lr: 0.002218 loss: 0.0227 (0.0247) loss_rec_all: 0.0589 (0.0608) loss_rec_sfr: 0.0673 (0.0852) loss_cl: -0.3671 (-0.3671) time: 0.8628 data: 0.0002 max mem: 29859 [15:12:33.924399] Epoch: [175] [140/850] eta: 0:10:28 lr: 0.002218 loss: 0.0231 (0.0246) loss_rec_all: 0.0593 (0.0607) loss_rec_sfr: 0.0687 (0.0847) loss_cl: -0.3669 (-0.3671) time: 0.8614 data: 0.0002 max mem: 29859 [15:12:51.185219] Epoch: [175] [160/850] eta: 0:10:08 lr: 0.002217 loss: 0.0229 (0.0246) loss_rec_all: 0.0592 (0.0607) loss_rec_sfr: 0.0652 (0.0839) loss_cl: -0.3670 (-0.3671) time: 0.8630 data: 0.0002 max mem: 29859 [15:13:08.392743] Epoch: [175] [180/850] eta: 0:09:49 lr: 0.002217 loss: 0.0227 (0.0245) loss_rec_all: 0.0591 (0.0606) loss_rec_sfr: 0.0712 (0.0837) loss_cl: -0.3676 (-0.3671) time: 0.8603 data: 0.0002 max mem: 29859 [15:13:25.746287] Epoch: [175] [200/850] eta: 0:09:31 lr: 0.002217 loss: 0.0231 (0.0244) loss_rec_all: 0.0594 (0.0606) loss_rec_sfr: 0.0689 (0.0836) loss_cl: -0.3680 (-0.3672) time: 0.8675 data: 0.0003 max mem: 29859 [15:13:42.965256] Epoch: [175] [220/850] eta: 0:09:12 lr: 0.002217 loss: 0.0244 (0.0246) loss_rec_all: 0.0607 (0.0607) loss_rec_sfr: 0.0683 (0.0830) loss_cl: -0.3682 (-0.3673) time: 0.8609 data: 0.0002 max mem: 29859 [15:14:00.250872] Epoch: [175] [240/850] eta: 0:08:54 lr: 0.002217 loss: 0.0248 (0.0246) loss_rec_all: 0.0610 (0.0608) loss_rec_sfr: 0.0720 (0.0831) loss_cl: -0.3678 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [15:14:17.491584] Epoch: [175] [260/850] eta: 0:08:36 lr: 0.002217 loss: 0.0235 (0.0246) loss_rec_all: 0.0593 (0.0608) loss_rec_sfr: 0.0892 (0.0840) loss_cl: -0.3670 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [15:14:34.777695] Epoch: [175] [280/850] eta: 0:08:18 lr: 0.002217 loss: 0.0242 (0.0247) loss_rec_all: 0.0602 (0.0608) loss_rec_sfr: 0.0932 (0.0844) loss_cl: -0.3666 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [15:14:52.023567] Epoch: [175] [300/850] eta: 0:08:00 lr: 0.002217 loss: 0.0226 (0.0245) loss_rec_all: 0.0586 (0.0607) loss_rec_sfr: 0.0603 (0.0838) loss_cl: -0.3668 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [15:15:09.374258] Epoch: [175] [320/850] eta: 0:07:42 lr: 0.002217 loss: 0.0236 (0.0245) loss_rec_all: 0.0596 (0.0606) loss_rec_sfr: 0.0842 (0.0844) loss_cl: -0.3669 (-0.3672) time: 0.8675 data: 0.0002 max mem: 29859 [15:15:26.786697] Epoch: [175] [340/850] eta: 0:07:25 lr: 0.002217 loss: 0.0232 (0.0245) loss_rec_all: 0.0592 (0.0606) loss_rec_sfr: 0.0713 (0.0844) loss_cl: -0.3667 (-0.3672) time: 0.8705 data: 0.0003 max mem: 29859 [15:15:44.092546] Epoch: [175] [360/850] eta: 0:07:07 lr: 0.002217 loss: 0.0221 (0.0244) loss_rec_all: 0.0583 (0.0605) loss_rec_sfr: 0.0683 (0.0841) loss_cl: -0.3673 (-0.3672) time: 0.8652 data: 0.0003 max mem: 29859 [15:16:01.312747] Epoch: [175] [380/850] eta: 0:06:49 lr: 0.002217 loss: 0.0221 (0.0243) loss_rec_all: 0.0584 (0.0604) loss_rec_sfr: 0.0841 (0.0841) loss_cl: -0.3677 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [15:16:18.986331] Epoch: [175] [400/850] eta: 0:06:32 lr: 0.002217 loss: 0.0215 (0.0242) loss_rec_all: 0.0579 (0.0603) loss_rec_sfr: 0.0636 (0.0837) loss_cl: -0.3681 (-0.3673) time: 0.8836 data: 0.0004 max mem: 29859 [15:16:36.319306] Epoch: [175] [420/850] eta: 0:06:15 lr: 0.002217 loss: 0.0232 (0.0242) loss_rec_all: 0.0590 (0.0603) loss_rec_sfr: 0.0956 (0.0844) loss_cl: -0.3678 (-0.3673) time: 0.8666 data: 0.0004 max mem: 29859 [15:16:53.612785] Epoch: [175] [440/850] eta: 0:05:57 lr: 0.002217 loss: 0.0240 (0.0242) loss_rec_all: 0.0600 (0.0604) loss_rec_sfr: 0.0884 (0.0846) loss_cl: -0.3668 (-0.3673) time: 0.8646 data: 0.0003 max mem: 29859 [15:17:11.057387] Epoch: [175] [460/850] eta: 0:05:40 lr: 0.002217 loss: 0.0240 (0.0243) loss_rec_all: 0.0601 (0.0604) loss_rec_sfr: 0.0746 (0.0847) loss_cl: -0.3661 (-0.3672) time: 0.8722 data: 0.0004 max mem: 29859 [15:17:28.523733] Epoch: [175] [480/850] eta: 0:05:22 lr: 0.002216 loss: 0.0245 (0.0243) loss_rec_all: 0.0603 (0.0604) loss_rec_sfr: 0.0716 (0.0848) loss_cl: -0.3666 (-0.3672) time: 0.8733 data: 0.0003 max mem: 29859 [15:17:45.741731] Epoch: [175] [500/850] eta: 0:05:05 lr: 0.002216 loss: 0.0249 (0.0243) loss_rec_all: 0.0609 (0.0604) loss_rec_sfr: 0.0922 (0.0853) loss_cl: -0.3674 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [15:18:03.073800] Epoch: [175] [520/850] eta: 0:04:47 lr: 0.002216 loss: 0.0235 (0.0243) loss_rec_all: 0.0595 (0.0604) loss_rec_sfr: 0.0905 (0.0856) loss_cl: -0.3677 (-0.3672) time: 0.8665 data: 0.0003 max mem: 29859 [15:18:20.483943] Epoch: [175] [540/850] eta: 0:04:30 lr: 0.002216 loss: 0.0236 (0.0243) loss_rec_all: 0.0599 (0.0604) loss_rec_sfr: 0.0696 (0.0854) loss_cl: -0.3675 (-0.3672) time: 0.8705 data: 0.0003 max mem: 29859 [15:18:37.891952] Epoch: [175] [560/850] eta: 0:04:12 lr: 0.002216 loss: 0.0239 (0.0243) loss_rec_all: 0.0601 (0.0604) loss_rec_sfr: 0.0886 (0.0854) loss_cl: -0.3673 (-0.3672) time: 0.8703 data: 0.0003 max mem: 29859 [15:18:55.150343] Epoch: [175] [580/850] eta: 0:03:55 lr: 0.002216 loss: 0.0218 (0.0243) loss_rec_all: 0.0582 (0.0604) loss_rec_sfr: 0.0593 (0.0849) loss_cl: -0.3678 (-0.3672) time: 0.8629 data: 0.0003 max mem: 29859 [15:19:12.449361] Epoch: [175] [600/850] eta: 0:03:37 lr: 0.002216 loss: 0.0229 (0.0242) loss_rec_all: 0.0590 (0.0604) loss_rec_sfr: 0.0883 (0.0851) loss_cl: -0.3673 (-0.3672) time: 0.8649 data: 0.0002 max mem: 29859 [15:19:29.856283] Epoch: [175] [620/850] eta: 0:03:20 lr: 0.002216 loss: 0.0249 (0.0243) loss_rec_all: 0.0611 (0.0604) loss_rec_sfr: 0.0713 (0.0851) loss_cl: -0.3669 (-0.3672) time: 0.8703 data: 0.0004 max mem: 29859 [15:19:47.283279] Epoch: [175] [640/850] eta: 0:03:02 lr: 0.002216 loss: 0.0239 (0.0243) loss_rec_all: 0.0601 (0.0604) loss_rec_sfr: 0.0721 (0.0852) loss_cl: -0.3670 (-0.3672) time: 0.8712 data: 0.0003 max mem: 29859 [15:20:04.772912] Epoch: [175] [660/850] eta: 0:02:45 lr: 0.002216 loss: 0.0241 (0.0243) loss_rec_all: 0.0604 (0.0604) loss_rec_sfr: 0.0871 (0.0853) loss_cl: -0.3673 (-0.3672) time: 0.8744 data: 0.0006 max mem: 29859 [15:20:22.150962] Epoch: [175] [680/850] eta: 0:02:28 lr: 0.002216 loss: 0.0245 (0.0243) loss_rec_all: 0.0607 (0.0605) loss_rec_sfr: 0.0938 (0.0856) loss_cl: -0.3673 (-0.3672) time: 0.8688 data: 0.0003 max mem: 29859 [15:20:39.372419] Epoch: [175] [700/850] eta: 0:02:10 lr: 0.002216 loss: 0.0251 (0.0244) loss_rec_all: 0.0610 (0.0605) loss_rec_sfr: 0.0948 (0.0859) loss_cl: -0.3672 (-0.3672) time: 0.8610 data: 0.0002 max mem: 29859 [15:20:56.882311] Epoch: [175] [720/850] eta: 0:01:53 lr: 0.002216 loss: 0.0235 (0.0244) loss_rec_all: 0.0595 (0.0605) loss_rec_sfr: 0.0890 (0.0859) loss_cl: -0.3670 (-0.3672) time: 0.8754 data: 0.0004 max mem: 29859 [15:21:14.446499] Epoch: [175] [740/850] eta: 0:01:35 lr: 0.002216 loss: 0.0235 (0.0244) loss_rec_all: 0.0598 (0.0605) loss_rec_sfr: 0.0689 (0.0858) loss_cl: -0.3674 (-0.3672) time: 0.8781 data: 0.0005 max mem: 29859 [15:21:31.691074] Epoch: [175] [760/850] eta: 0:01:18 lr: 0.002216 loss: 0.0235 (0.0244) loss_rec_all: 0.0597 (0.0605) loss_rec_sfr: 0.0915 (0.0859) loss_cl: -0.3671 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [15:21:49.122527] Epoch: [175] [780/850] eta: 0:01:00 lr: 0.002216 loss: 0.0228 (0.0244) loss_rec_all: 0.0590 (0.0605) loss_rec_sfr: 0.0620 (0.0857) loss_cl: -0.3672 (-0.3672) time: 0.8714 data: 0.0003 max mem: 29859 [15:22:06.591816] Epoch: [175] [800/850] eta: 0:00:43 lr: 0.002215 loss: 0.0238 (0.0244) loss_rec_all: 0.0601 (0.0605) loss_rec_sfr: 0.0757 (0.0856) loss_cl: -0.3678 (-0.3672) time: 0.8734 data: 0.0003 max mem: 29859 [15:22:24.025760] Epoch: [175] [820/850] eta: 0:00:26 lr: 0.002215 loss: 0.0236 (0.0244) loss_rec_all: 0.0599 (0.0605) loss_rec_sfr: 0.0673 (0.0856) loss_cl: -0.3679 (-0.3672) time: 0.8716 data: 0.0004 max mem: 29859 [15:22:41.313225] Epoch: [175] [840/850] eta: 0:00:08 lr: 0.002215 loss: 0.0249 (0.0244) loss_rec_all: 0.0609 (0.0606) loss_rec_sfr: 0.0956 (0.0857) loss_cl: -0.3678 (-0.3672) time: 0.8643 data: 0.0007 max mem: 29859 [15:22:49.057654] Epoch: [175] [849/850] eta: 0:00:00 lr: 0.002215 loss: 0.0241 (0.0244) loss_rec_all: 0.0605 (0.0606) loss_rec_sfr: 0.0739 (0.0856) loss_cl: -0.3678 (-0.3673) time: 0.8624 data: 0.0006 max mem: 29859 [15:22:49.208330] Epoch: [175] Total time: 0:12:20 (0.8707 s / it) [15:22:49.210845] Averaged stats: lr: 0.002215 loss: 0.0241 (0.0244) loss_rec_all: 0.0605 (0.0605) loss_rec_sfr: 0.0739 (0.0855) loss_cl: -0.3678 (-0.3672) [15:22:49.229918] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [15:22:53.375120] Epoch: [176] [ 0/850] eta: 0:58:42 lr: 0.002215 loss: 0.0230 (0.0230) loss_rec_all: 0.0595 (0.0595) loss_rec_sfr: 0.0598 (0.0598) loss_cl: -0.3685 (-0.3685) time: 4.1443 data: 3.2856 max mem: 29859 [15:23:10.588733] Epoch: [176] [ 20/850] eta: 0:14:04 lr: 0.002215 loss: 0.0223 (0.0228) loss_rec_all: 0.0586 (0.0590) loss_rec_sfr: 0.0664 (0.0796) loss_cl: -0.3677 (-0.3675) time: 0.8606 data: 0.0002 max mem: 29859 [15:23:27.908499] Epoch: [176] [ 40/850] eta: 0:12:44 lr: 0.002215 loss: 0.0249 (0.0239) loss_rec_all: 0.0610 (0.0600) loss_rec_sfr: 0.0885 (0.0837) loss_cl: -0.3670 (-0.3672) time: 0.8659 data: 0.0004 max mem: 29859 [15:23:45.132311] Epoch: [176] [ 60/850] eta: 0:12:03 lr: 0.002215 loss: 0.0233 (0.0241) loss_rec_all: 0.0595 (0.0602) loss_rec_sfr: 0.0849 (0.0845) loss_cl: -0.3661 (-0.3668) time: 0.8611 data: 0.0002 max mem: 29859 [15:24:02.583938] Epoch: [176] [ 80/850] eta: 0:11:37 lr: 0.002215 loss: 0.0241 (0.0245) loss_rec_all: 0.0599 (0.0605) loss_rec_sfr: 0.0941 (0.0869) loss_cl: -0.3665 (-0.3667) time: 0.8724 data: 0.0003 max mem: 29859 [15:24:19.818053] Epoch: [176] [100/850] eta: 0:11:12 lr: 0.002215 loss: 0.0256 (0.0246) loss_rec_all: 0.0614 (0.0607) loss_rec_sfr: 0.0875 (0.0873) loss_cl: -0.3674 (-0.3668) time: 0.8616 data: 0.0002 max mem: 29859 [15:24:37.200699] Epoch: [176] [120/850] eta: 0:10:51 lr: 0.002215 loss: 0.0241 (0.0246) loss_rec_all: 0.0603 (0.0607) loss_rec_sfr: 0.0664 (0.0862) loss_cl: -0.3679 (-0.3670) time: 0.8690 data: 0.0003 max mem: 29859 [15:24:54.927327] Epoch: [176] [140/850] eta: 0:10:32 lr: 0.002215 loss: 0.0244 (0.0246) loss_rec_all: 0.0608 (0.0607) loss_rec_sfr: 0.0712 (0.0862) loss_cl: -0.3686 (-0.3672) time: 0.8861 data: 0.0006 max mem: 29859 [15:25:12.229214] Epoch: [176] [160/850] eta: 0:10:12 lr: 0.002215 loss: 0.0249 (0.0247) loss_rec_all: 0.0608 (0.0609) loss_rec_sfr: 0.0938 (0.0879) loss_cl: -0.3682 (-0.3673) time: 0.8650 data: 0.0002 max mem: 29859 [15:25:29.452054] Epoch: [176] [180/850] eta: 0:09:53 lr: 0.002215 loss: 0.0235 (0.0246) loss_rec_all: 0.0595 (0.0608) loss_rec_sfr: 0.0903 (0.0887) loss_cl: -0.3676 (-0.3674) time: 0.8611 data: 0.0002 max mem: 29859 [15:25:46.790431] Epoch: [176] [200/850] eta: 0:09:34 lr: 0.002215 loss: 0.0233 (0.0246) loss_rec_all: 0.0594 (0.0607) loss_rec_sfr: 0.0856 (0.0886) loss_cl: -0.3675 (-0.3674) time: 0.8669 data: 0.0003 max mem: 29859 [15:26:04.103188] Epoch: [176] [220/850] eta: 0:09:15 lr: 0.002215 loss: 0.0244 (0.0246) loss_rec_all: 0.0601 (0.0607) loss_rec_sfr: 0.0918 (0.0888) loss_cl: -0.3672 (-0.3673) time: 0.8656 data: 0.0003 max mem: 29859 [15:26:21.400476] Epoch: [176] [240/850] eta: 0:08:56 lr: 0.002215 loss: 0.0259 (0.0247) loss_rec_all: 0.0617 (0.0608) loss_rec_sfr: 0.0742 (0.0890) loss_cl: -0.3673 (-0.3673) time: 0.8648 data: 0.0003 max mem: 29859 [15:26:38.705424] Epoch: [176] [260/850] eta: 0:08:38 lr: 0.002215 loss: 0.0262 (0.0248) loss_rec_all: 0.0624 (0.0610) loss_rec_sfr: 0.0763 (0.0891) loss_cl: -0.3671 (-0.3673) time: 0.8652 data: 0.0002 max mem: 29859 [15:26:56.035033] Epoch: [176] [280/850] eta: 0:08:20 lr: 0.002214 loss: 0.0248 (0.0249) loss_rec_all: 0.0609 (0.0610) loss_rec_sfr: 0.1049 (0.0899) loss_cl: -0.3667 (-0.3673) time: 0.8664 data: 0.0003 max mem: 29859 [15:27:13.437932] Epoch: [176] [300/850] eta: 0:08:02 lr: 0.002214 loss: 0.0242 (0.0249) loss_rec_all: 0.0603 (0.0610) loss_rec_sfr: 0.0698 (0.0893) loss_cl: -0.3667 (-0.3672) time: 0.8701 data: 0.0003 max mem: 29859 [15:27:30.695904] Epoch: [176] [320/850] eta: 0:07:44 lr: 0.002214 loss: 0.0231 (0.0249) loss_rec_all: 0.0593 (0.0610) loss_rec_sfr: 0.0662 (0.0887) loss_cl: -0.3665 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [15:27:48.015175] Epoch: [176] [340/850] eta: 0:07:26 lr: 0.002214 loss: 0.0238 (0.0249) loss_rec_all: 0.0596 (0.0610) loss_rec_sfr: 0.0869 (0.0886) loss_cl: -0.3669 (-0.3672) time: 0.8659 data: 0.0003 max mem: 29859 [15:28:05.315311] Epoch: [176] [360/850] eta: 0:07:08 lr: 0.002214 loss: 0.0232 (0.0248) loss_rec_all: 0.0593 (0.0609) loss_rec_sfr: 0.0959 (0.0888) loss_cl: -0.3675 (-0.3672) time: 0.8649 data: 0.0003 max mem: 29859 [15:28:22.586066] Epoch: [176] [380/850] eta: 0:06:51 lr: 0.002214 loss: 0.0236 (0.0248) loss_rec_all: 0.0595 (0.0609) loss_rec_sfr: 0.1004 (0.0890) loss_cl: -0.3675 (-0.3672) time: 0.8635 data: 0.0002 max mem: 29859 [15:28:40.002621] Epoch: [176] [400/850] eta: 0:06:33 lr: 0.002214 loss: 0.0227 (0.0247) loss_rec_all: 0.0587 (0.0608) loss_rec_sfr: 0.0864 (0.0888) loss_cl: -0.3676 (-0.3672) time: 0.8708 data: 0.0004 max mem: 29859 [15:28:57.341350] Epoch: [176] [420/850] eta: 0:06:15 lr: 0.002214 loss: 0.0230 (0.0246) loss_rec_all: 0.0593 (0.0607) loss_rec_sfr: 0.0710 (0.0887) loss_cl: -0.3674 (-0.3672) time: 0.8669 data: 0.0002 max mem: 29859 [15:29:14.663443] Epoch: [176] [440/850] eta: 0:05:58 lr: 0.002214 loss: 0.0244 (0.0247) loss_rec_all: 0.0602 (0.0608) loss_rec_sfr: 0.0918 (0.0889) loss_cl: -0.3669 (-0.3672) time: 0.8660 data: 0.0003 max mem: 29859 [15:29:31.927217] Epoch: [176] [460/850] eta: 0:05:40 lr: 0.002214 loss: 0.0230 (0.0246) loss_rec_all: 0.0592 (0.0607) loss_rec_sfr: 0.0892 (0.0890) loss_cl: -0.3670 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [15:29:49.226056] Epoch: [176] [480/850] eta: 0:05:23 lr: 0.002214 loss: 0.0232 (0.0246) loss_rec_all: 0.0594 (0.0607) loss_rec_sfr: 0.0704 (0.0889) loss_cl: -0.3672 (-0.3672) time: 0.8649 data: 0.0002 max mem: 29859 [15:30:06.477020] Epoch: [176] [500/850] eta: 0:05:05 lr: 0.002214 loss: 0.0243 (0.0246) loss_rec_all: 0.0605 (0.0607) loss_rec_sfr: 0.0890 (0.0890) loss_cl: -0.3676 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [15:30:23.798060] Epoch: [176] [520/850] eta: 0:04:47 lr: 0.002214 loss: 0.0231 (0.0246) loss_rec_all: 0.0594 (0.0607) loss_rec_sfr: 0.0896 (0.0889) loss_cl: -0.3678 (-0.3672) time: 0.8660 data: 0.0003 max mem: 29859 [15:30:41.143128] Epoch: [176] [540/850] eta: 0:04:30 lr: 0.002214 loss: 0.0241 (0.0246) loss_rec_all: 0.0600 (0.0607) loss_rec_sfr: 0.0719 (0.0888) loss_cl: -0.3676 (-0.3672) time: 0.8672 data: 0.0003 max mem: 29859 [15:30:58.619155] Epoch: [176] [560/850] eta: 0:04:12 lr: 0.002214 loss: 0.0231 (0.0246) loss_rec_all: 0.0594 (0.0607) loss_rec_sfr: 0.0614 (0.0884) loss_cl: -0.3676 (-0.3673) time: 0.8737 data: 0.0005 max mem: 29859 [15:31:15.834856] Epoch: [176] [580/850] eta: 0:03:55 lr: 0.002214 loss: 0.0234 (0.0246) loss_rec_all: 0.0597 (0.0607) loss_rec_sfr: 0.0638 (0.0879) loss_cl: -0.3671 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [15:31:33.264762] Epoch: [176] [600/850] eta: 0:03:37 lr: 0.002213 loss: 0.0230 (0.0246) loss_rec_all: 0.0591 (0.0607) loss_rec_sfr: 0.0990 (0.0881) loss_cl: -0.3677 (-0.3673) time: 0.8714 data: 0.0004 max mem: 29859 [15:31:50.730479] Epoch: [176] [620/850] eta: 0:03:20 lr: 0.002213 loss: 0.0219 (0.0245) loss_rec_all: 0.0583 (0.0606) loss_rec_sfr: 0.0597 (0.0875) loss_cl: -0.3679 (-0.3673) time: 0.8732 data: 0.0003 max mem: 29859 [15:32:08.048622] Epoch: [176] [640/850] eta: 0:03:03 lr: 0.002213 loss: 0.0227 (0.0245) loss_rec_all: 0.0590 (0.0606) loss_rec_sfr: 0.0673 (0.0874) loss_cl: -0.3678 (-0.3673) time: 0.8658 data: 0.0003 max mem: 29859 [15:32:25.346148] Epoch: [176] [660/850] eta: 0:02:45 lr: 0.002213 loss: 0.0231 (0.0245) loss_rec_all: 0.0591 (0.0606) loss_rec_sfr: 0.0884 (0.0873) loss_cl: -0.3673 (-0.3673) time: 0.8648 data: 0.0003 max mem: 29859 [15:32:42.676867] Epoch: [176] [680/850] eta: 0:02:28 lr: 0.002213 loss: 0.0228 (0.0244) loss_rec_all: 0.0591 (0.0606) loss_rec_sfr: 0.0837 (0.0874) loss_cl: -0.3671 (-0.3673) time: 0.8665 data: 0.0002 max mem: 29859 [15:33:00.121731] Epoch: [176] [700/850] eta: 0:02:10 lr: 0.002213 loss: 0.0226 (0.0244) loss_rec_all: 0.0587 (0.0606) loss_rec_sfr: 0.0693 (0.0873) loss_cl: -0.3668 (-0.3673) time: 0.8721 data: 0.0003 max mem: 29859 [15:33:17.588419] Epoch: [176] [720/850] eta: 0:01:53 lr: 0.002213 loss: 0.0225 (0.0244) loss_rec_all: 0.0588 (0.0605) loss_rec_sfr: 0.0620 (0.0872) loss_cl: -0.3674 (-0.3673) time: 0.8733 data: 0.0004 max mem: 29859 [15:33:34.856955] Epoch: [176] [740/850] eta: 0:01:35 lr: 0.002213 loss: 0.0243 (0.0244) loss_rec_all: 0.0604 (0.0605) loss_rec_sfr: 0.0958 (0.0873) loss_cl: -0.3677 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [15:33:52.187887] Epoch: [176] [760/850] eta: 0:01:18 lr: 0.002213 loss: 0.0265 (0.0245) loss_rec_all: 0.0626 (0.0606) loss_rec_sfr: 0.1027 (0.0876) loss_cl: -0.3679 (-0.3673) time: 0.8665 data: 0.0003 max mem: 29859 [15:34:09.509190] Epoch: [176] [780/850] eta: 0:01:00 lr: 0.002213 loss: 0.0253 (0.0246) loss_rec_all: 0.0614 (0.0607) loss_rec_sfr: 0.0710 (0.0876) loss_cl: -0.3665 (-0.3673) time: 0.8660 data: 0.0003 max mem: 29859 [15:34:27.082921] Epoch: [176] [800/850] eta: 0:00:43 lr: 0.002213 loss: 0.0240 (0.0246) loss_rec_all: 0.0603 (0.0607) loss_rec_sfr: 0.0655 (0.0875) loss_cl: -0.3668 (-0.3673) time: 0.8786 data: 0.0005 max mem: 29859 [15:34:44.371802] Epoch: [176] [820/850] eta: 0:00:26 lr: 0.002213 loss: 0.0229 (0.0246) loss_rec_all: 0.0592 (0.0607) loss_rec_sfr: 0.0664 (0.0873) loss_cl: -0.3665 (-0.3672) time: 0.8644 data: 0.0002 max mem: 29859 [15:35:01.620664] Epoch: [176] [840/850] eta: 0:00:08 lr: 0.002213 loss: 0.0241 (0.0246) loss_rec_all: 0.0602 (0.0607) loss_rec_sfr: 0.0710 (0.0872) loss_cl: -0.3666 (-0.3672) time: 0.8624 data: 0.0005 max mem: 29859 [15:35:09.470790] Epoch: [176] [849/850] eta: 0:00:00 lr: 0.002213 loss: 0.0239 (0.0246) loss_rec_all: 0.0599 (0.0607) loss_rec_sfr: 0.0707 (0.0872) loss_cl: -0.3670 (-0.3672) time: 0.8674 data: 0.0005 max mem: 29859 [15:35:09.635316] Epoch: [176] Total time: 0:12:20 (0.8711 s / it) [15:35:09.640788] Averaged stats: lr: 0.002213 loss: 0.0239 (0.0245) loss_rec_all: 0.0599 (0.0607) loss_rec_sfr: 0.0707 (0.0869) loss_cl: -0.3670 (-0.3673) [15:35:09.658914] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [15:35:14.031196] Epoch: [177] [ 0/850] eta: 1:01:55 lr: 0.002213 loss: 0.0206 (0.0206) loss_rec_all: 0.0569 (0.0569) loss_rec_sfr: 0.0546 (0.0546) loss_cl: -0.3669 (-0.3669) time: 4.3714 data: 3.5080 max mem: 29859 [15:35:31.309533] Epoch: [177] [ 20/850] eta: 0:14:15 lr: 0.002213 loss: 0.0238 (0.0252) loss_rec_all: 0.0601 (0.0614) loss_rec_sfr: 0.0703 (0.0818) loss_cl: -0.3675 (-0.3675) time: 0.8638 data: 0.0003 max mem: 29859 [15:35:48.638225] Epoch: [177] [ 40/850] eta: 0:12:50 lr: 0.002213 loss: 0.0234 (0.0247) loss_rec_all: 0.0596 (0.0609) loss_rec_sfr: 0.0861 (0.0831) loss_cl: -0.3677 (-0.3676) time: 0.8664 data: 0.0003 max mem: 29859 [15:36:05.910116] Epoch: [177] [ 60/850] eta: 0:12:08 lr: 0.002212 loss: 0.0234 (0.0246) loss_rec_all: 0.0596 (0.0607) loss_rec_sfr: 0.0722 (0.0843) loss_cl: -0.3677 (-0.3676) time: 0.8635 data: 0.0003 max mem: 29859 [15:36:23.181778] Epoch: [177] [ 80/850] eta: 0:11:38 lr: 0.002212 loss: 0.0251 (0.0245) loss_rec_all: 0.0611 (0.0607) loss_rec_sfr: 0.0919 (0.0875) loss_cl: -0.3685 (-0.3678) time: 0.8635 data: 0.0003 max mem: 29859 [15:36:40.667674] Epoch: [177] [100/850] eta: 0:11:15 lr: 0.002212 loss: 0.0225 (0.0244) loss_rec_all: 0.0588 (0.0605) loss_rec_sfr: 0.0880 (0.0871) loss_cl: -0.3685 (-0.3679) time: 0.8742 data: 0.0004 max mem: 29859 [15:36:58.023210] Epoch: [177] [120/850] eta: 0:10:53 lr: 0.002212 loss: 0.0226 (0.0241) loss_rec_all: 0.0589 (0.0603) loss_rec_sfr: 0.0725 (0.0886) loss_cl: -0.3673 (-0.3678) time: 0.8677 data: 0.0004 max mem: 29859 [15:37:15.241257] Epoch: [177] [140/850] eta: 0:10:32 lr: 0.002212 loss: 0.0235 (0.0241) loss_rec_all: 0.0593 (0.0603) loss_rec_sfr: 0.0741 (0.0885) loss_cl: -0.3670 (-0.3677) time: 0.8609 data: 0.0002 max mem: 29859 [15:37:32.619548] Epoch: [177] [160/850] eta: 0:10:12 lr: 0.002212 loss: 0.0227 (0.0240) loss_rec_all: 0.0589 (0.0601) loss_rec_sfr: 0.0871 (0.0885) loss_cl: -0.3670 (-0.3676) time: 0.8688 data: 0.0003 max mem: 29859 [15:37:49.902124] Epoch: [177] [180/850] eta: 0:09:53 lr: 0.002212 loss: 0.0224 (0.0239) loss_rec_all: 0.0585 (0.0601) loss_rec_sfr: 0.0679 (0.0876) loss_cl: -0.3671 (-0.3675) time: 0.8641 data: 0.0003 max mem: 29859 [15:38:07.171574] Epoch: [177] [200/850] eta: 0:09:33 lr: 0.002212 loss: 0.0245 (0.0240) loss_rec_all: 0.0604 (0.0601) loss_rec_sfr: 0.0864 (0.0877) loss_cl: -0.3670 (-0.3675) time: 0.8634 data: 0.0002 max mem: 29859 [15:38:24.533241] Epoch: [177] [220/850] eta: 0:09:15 lr: 0.002212 loss: 0.0238 (0.0241) loss_rec_all: 0.0598 (0.0602) loss_rec_sfr: 0.0750 (0.0873) loss_cl: -0.3673 (-0.3675) time: 0.8680 data: 0.0003 max mem: 29859 [15:38:41.823178] Epoch: [177] [240/850] eta: 0:08:56 lr: 0.002212 loss: 0.0256 (0.0243) loss_rec_all: 0.0616 (0.0604) loss_rec_sfr: 0.0975 (0.0877) loss_cl: -0.3678 (-0.3675) time: 0.8644 data: 0.0002 max mem: 29859 [15:38:59.051661] Epoch: [177] [260/850] eta: 0:08:38 lr: 0.002212 loss: 0.0248 (0.0244) loss_rec_all: 0.0610 (0.0605) loss_rec_sfr: 0.0715 (0.0873) loss_cl: -0.3679 (-0.3675) time: 0.8613 data: 0.0003 max mem: 29859 [15:39:16.464848] Epoch: [177] [280/850] eta: 0:08:20 lr: 0.002212 loss: 0.0235 (0.0244) loss_rec_all: 0.0597 (0.0605) loss_rec_sfr: 0.0720 (0.0869) loss_cl: -0.3672 (-0.3675) time: 0.8705 data: 0.0005 max mem: 29859 [15:39:33.800408] Epoch: [177] [300/850] eta: 0:08:02 lr: 0.002212 loss: 0.0256 (0.0245) loss_rec_all: 0.0616 (0.0606) loss_rec_sfr: 0.0953 (0.0875) loss_cl: -0.3669 (-0.3675) time: 0.8667 data: 0.0004 max mem: 29859 [15:39:51.135926] Epoch: [177] [320/850] eta: 0:07:44 lr: 0.002212 loss: 0.0232 (0.0245) loss_rec_all: 0.0593 (0.0606) loss_rec_sfr: 0.0883 (0.0874) loss_cl: -0.3671 (-0.3674) time: 0.8667 data: 0.0003 max mem: 29859 [15:40:08.362189] Epoch: [177] [340/850] eta: 0:07:26 lr: 0.002212 loss: 0.0235 (0.0245) loss_rec_all: 0.0598 (0.0606) loss_rec_sfr: 0.0706 (0.0872) loss_cl: -0.3670 (-0.3674) time: 0.8613 data: 0.0003 max mem: 29859 [15:40:25.783321] Epoch: [177] [360/850] eta: 0:07:09 lr: 0.002212 loss: 0.0234 (0.0244) loss_rec_all: 0.0594 (0.0605) loss_rec_sfr: 0.0855 (0.0873) loss_cl: -0.3671 (-0.3674) time: 0.8710 data: 0.0003 max mem: 29859 [15:40:43.075299] Epoch: [177] [380/850] eta: 0:06:51 lr: 0.002211 loss: 0.0233 (0.0244) loss_rec_all: 0.0593 (0.0605) loss_rec_sfr: 0.0745 (0.0873) loss_cl: -0.3677 (-0.3674) time: 0.8645 data: 0.0003 max mem: 29859 [15:41:00.330925] Epoch: [177] [400/850] eta: 0:06:33 lr: 0.002211 loss: 0.0230 (0.0244) loss_rec_all: 0.0594 (0.0605) loss_rec_sfr: 0.0887 (0.0873) loss_cl: -0.3673 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [15:41:17.733855] Epoch: [177] [420/850] eta: 0:06:15 lr: 0.002211 loss: 0.0235 (0.0244) loss_rec_all: 0.0594 (0.0605) loss_rec_sfr: 0.0835 (0.0874) loss_cl: -0.3675 (-0.3674) time: 0.8701 data: 0.0003 max mem: 29859 [15:41:35.106984] Epoch: [177] [440/850] eta: 0:05:58 lr: 0.002211 loss: 0.0222 (0.0243) loss_rec_all: 0.0584 (0.0604) loss_rec_sfr: 0.0662 (0.0873) loss_cl: -0.3674 (-0.3674) time: 0.8686 data: 0.0003 max mem: 29859 [15:41:52.325396] Epoch: [177] [460/850] eta: 0:05:40 lr: 0.002211 loss: 0.0225 (0.0242) loss_rec_all: 0.0588 (0.0604) loss_rec_sfr: 0.0661 (0.0868) loss_cl: -0.3675 (-0.3674) time: 0.8609 data: 0.0002 max mem: 29859 [15:42:09.672443] Epoch: [177] [480/850] eta: 0:05:23 lr: 0.002211 loss: 0.0220 (0.0242) loss_rec_all: 0.0582 (0.0603) loss_rec_sfr: 0.0690 (0.0866) loss_cl: -0.3672 (-0.3674) time: 0.8673 data: 0.0003 max mem: 29859 [15:42:26.934321] Epoch: [177] [500/850] eta: 0:05:05 lr: 0.002211 loss: 0.0212 (0.0241) loss_rec_all: 0.0574 (0.0602) loss_rec_sfr: 0.0672 (0.0864) loss_cl: -0.3671 (-0.3674) time: 0.8630 data: 0.0003 max mem: 29859 [15:42:44.374213] Epoch: [177] [520/850] eta: 0:04:47 lr: 0.002211 loss: 0.0228 (0.0241) loss_rec_all: 0.0591 (0.0602) loss_rec_sfr: 0.0725 (0.0864) loss_cl: -0.3669 (-0.3673) time: 0.8719 data: 0.0003 max mem: 29859 [15:43:01.607657] Epoch: [177] [540/850] eta: 0:04:30 lr: 0.002211 loss: 0.0236 (0.0240) loss_rec_all: 0.0599 (0.0602) loss_rec_sfr: 0.0698 (0.0863) loss_cl: -0.3668 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [15:43:18.908525] Epoch: [177] [560/850] eta: 0:04:12 lr: 0.002211 loss: 0.0233 (0.0241) loss_rec_all: 0.0595 (0.0602) loss_rec_sfr: 0.0745 (0.0862) loss_cl: -0.3667 (-0.3673) time: 0.8650 data: 0.0003 max mem: 29859 [15:43:36.195929] Epoch: [177] [580/850] eta: 0:03:55 lr: 0.002211 loss: 0.0231 (0.0240) loss_rec_all: 0.0592 (0.0602) loss_rec_sfr: 0.0880 (0.0862) loss_cl: -0.3669 (-0.3673) time: 0.8643 data: 0.0003 max mem: 29859 [15:43:53.501432] Epoch: [177] [600/850] eta: 0:03:37 lr: 0.002211 loss: 0.0238 (0.0241) loss_rec_all: 0.0597 (0.0602) loss_rec_sfr: 0.0889 (0.0861) loss_cl: -0.3678 (-0.3673) time: 0.8651 data: 0.0002 max mem: 29859 [15:44:10.903854] Epoch: [177] [620/850] eta: 0:03:20 lr: 0.002211 loss: 0.0248 (0.0241) loss_rec_all: 0.0607 (0.0602) loss_rec_sfr: 0.0925 (0.0865) loss_cl: -0.3674 (-0.3673) time: 0.8700 data: 0.0004 max mem: 29859 [15:44:28.268921] Epoch: [177] [640/850] eta: 0:03:02 lr: 0.002211 loss: 0.0283 (0.0243) loss_rec_all: 0.0642 (0.0604) loss_rec_sfr: 0.0970 (0.0869) loss_cl: -0.3674 (-0.3673) time: 0.8682 data: 0.0004 max mem: 29859 [15:44:45.491940] Epoch: [177] [660/850] eta: 0:02:45 lr: 0.002211 loss: 0.0256 (0.0243) loss_rec_all: 0.0618 (0.0605) loss_rec_sfr: 0.0763 (0.0872) loss_cl: -0.3675 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [15:45:02.951590] Epoch: [177] [680/850] eta: 0:02:28 lr: 0.002211 loss: 0.0256 (0.0244) loss_rec_all: 0.0618 (0.0605) loss_rec_sfr: 0.0800 (0.0873) loss_cl: -0.3678 (-0.3673) time: 0.8729 data: 0.0004 max mem: 29859 [15:45:20.262875] Epoch: [177] [700/850] eta: 0:02:10 lr: 0.002210 loss: 0.0253 (0.0245) loss_rec_all: 0.0617 (0.0606) loss_rec_sfr: 0.0935 (0.0873) loss_cl: -0.3674 (-0.3673) time: 0.8655 data: 0.0003 max mem: 29859 [15:45:37.538905] Epoch: [177] [720/850] eta: 0:01:53 lr: 0.002210 loss: 0.0240 (0.0245) loss_rec_all: 0.0602 (0.0606) loss_rec_sfr: 0.0637 (0.0871) loss_cl: -0.3670 (-0.3673) time: 0.8637 data: 0.0003 max mem: 29859 [15:45:54.783573] Epoch: [177] [740/850] eta: 0:01:35 lr: 0.002210 loss: 0.0247 (0.0245) loss_rec_all: 0.0606 (0.0606) loss_rec_sfr: 0.0891 (0.0870) loss_cl: -0.3665 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [15:46:12.251160] Epoch: [177] [760/850] eta: 0:01:18 lr: 0.002210 loss: 0.0227 (0.0245) loss_rec_all: 0.0589 (0.0606) loss_rec_sfr: 0.0726 (0.0869) loss_cl: -0.3665 (-0.3673) time: 0.8733 data: 0.0003 max mem: 29859 [15:46:29.596298] Epoch: [177] [780/850] eta: 0:01:00 lr: 0.002210 loss: 0.0228 (0.0245) loss_rec_all: 0.0589 (0.0606) loss_rec_sfr: 0.0661 (0.0869) loss_cl: -0.3669 (-0.3673) time: 0.8672 data: 0.0004 max mem: 29859 [15:46:46.859071] Epoch: [177] [800/850] eta: 0:00:43 lr: 0.002210 loss: 0.0227 (0.0244) loss_rec_all: 0.0587 (0.0606) loss_rec_sfr: 0.0992 (0.0870) loss_cl: -0.3673 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [15:47:04.167079] Epoch: [177] [820/850] eta: 0:00:26 lr: 0.002210 loss: 0.0227 (0.0244) loss_rec_all: 0.0589 (0.0605) loss_rec_sfr: 0.0716 (0.0871) loss_cl: -0.3679 (-0.3673) time: 0.8653 data: 0.0003 max mem: 29859 [15:47:21.489918] Epoch: [177] [840/850] eta: 0:00:08 lr: 0.002210 loss: 0.0217 (0.0244) loss_rec_all: 0.0581 (0.0605) loss_rec_sfr: 0.0607 (0.0868) loss_cl: -0.3675 (-0.3673) time: 0.8661 data: 0.0007 max mem: 29859 [15:47:29.286336] Epoch: [177] [849/850] eta: 0:00:00 lr: 0.002210 loss: 0.0217 (0.0244) loss_rec_all: 0.0580 (0.0605) loss_rec_sfr: 0.0633 (0.0868) loss_cl: -0.3674 (-0.3673) time: 0.8665 data: 0.0006 max mem: 29859 [15:47:29.450613] Epoch: [177] Total time: 0:12:19 (0.8703 s / it) [15:47:29.464677] Averaged stats: lr: 0.002210 loss: 0.0217 (0.0243) loss_rec_all: 0.0580 (0.0604) loss_rec_sfr: 0.0633 (0.0861) loss_cl: -0.3674 (-0.3672) [15:47:29.480867] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [15:47:34.084973] Epoch: [178] [ 0/850] eta: 1:05:12 lr: 0.002210 loss: 0.0232 (0.0232) loss_rec_all: 0.0591 (0.0591) loss_rec_sfr: 0.1290 (0.1290) loss_cl: -0.3680 (-0.3680) time: 4.6032 data: 3.7422 max mem: 29859 [15:47:51.339489] Epoch: [178] [ 20/850] eta: 0:14:23 lr: 0.002210 loss: 0.0234 (0.0240) loss_rec_all: 0.0593 (0.0601) loss_rec_sfr: 0.0868 (0.0880) loss_cl: -0.3673 (-0.3674) time: 0.8626 data: 0.0003 max mem: 29859 [15:48:08.625927] Epoch: [178] [ 40/850] eta: 0:12:53 lr: 0.002210 loss: 0.0227 (0.0238) loss_rec_all: 0.0589 (0.0600) loss_rec_sfr: 0.0615 (0.0835) loss_cl: -0.3671 (-0.3672) time: 0.8643 data: 0.0002 max mem: 29859 [15:48:25.846275] Epoch: [178] [ 60/850] eta: 0:12:09 lr: 0.002210 loss: 0.0221 (0.0237) loss_rec_all: 0.0583 (0.0598) loss_rec_sfr: 0.0616 (0.0809) loss_cl: -0.3672 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [15:48:43.183903] Epoch: [178] [ 80/850] eta: 0:11:40 lr: 0.002210 loss: 0.0216 (0.0234) loss_rec_all: 0.0581 (0.0595) loss_rec_sfr: 0.0690 (0.0827) loss_cl: -0.3682 (-0.3675) time: 0.8668 data: 0.0002 max mem: 29859 [15:49:00.517891] Epoch: [178] [100/850] eta: 0:11:15 lr: 0.002210 loss: 0.0225 (0.0234) loss_rec_all: 0.0588 (0.0596) loss_rec_sfr: 0.0741 (0.0821) loss_cl: -0.3683 (-0.3676) time: 0.8666 data: 0.0002 max mem: 29859 [15:49:17.835120] Epoch: [178] [120/850] eta: 0:10:53 lr: 0.002210 loss: 0.0216 (0.0233) loss_rec_all: 0.0580 (0.0595) loss_rec_sfr: 0.0589 (0.0821) loss_cl: -0.3680 (-0.3676) time: 0.8658 data: 0.0003 max mem: 29859 [15:49:35.059642] Epoch: [178] [140/850] eta: 0:10:32 lr: 0.002210 loss: 0.0223 (0.0232) loss_rec_all: 0.0586 (0.0594) loss_rec_sfr: 0.0675 (0.0817) loss_cl: -0.3676 (-0.3676) time: 0.8612 data: 0.0002 max mem: 29859 [15:49:52.394480] Epoch: [178] [160/850] eta: 0:10:12 lr: 0.002209 loss: 0.0236 (0.0234) loss_rec_all: 0.0594 (0.0596) loss_rec_sfr: 0.0804 (0.0816) loss_cl: -0.3664 (-0.3675) time: 0.8667 data: 0.0003 max mem: 29859 [15:50:09.790713] Epoch: [178] [180/850] eta: 0:09:53 lr: 0.002209 loss: 0.0236 (0.0236) loss_rec_all: 0.0599 (0.0597) loss_rec_sfr: 0.0644 (0.0819) loss_cl: -0.3664 (-0.3673) time: 0.8697 data: 0.0003 max mem: 29859 [15:50:27.177706] Epoch: [178] [200/850] eta: 0:09:34 lr: 0.002209 loss: 0.0228 (0.0237) loss_rec_all: 0.0590 (0.0598) loss_rec_sfr: 0.0671 (0.0819) loss_cl: -0.3661 (-0.3672) time: 0.8693 data: 0.0003 max mem: 29859 [15:50:44.423961] Epoch: [178] [220/850] eta: 0:09:15 lr: 0.002209 loss: 0.0252 (0.0238) loss_rec_all: 0.0610 (0.0599) loss_rec_sfr: 0.1092 (0.0839) loss_cl: -0.3669 (-0.3672) time: 0.8622 data: 0.0003 max mem: 29859 [15:51:01.775351] Epoch: [178] [240/850] eta: 0:08:57 lr: 0.002209 loss: 0.0230 (0.0237) loss_rec_all: 0.0592 (0.0599) loss_rec_sfr: 0.0705 (0.0839) loss_cl: -0.3674 (-0.3672) time: 0.8675 data: 0.0003 max mem: 29859 [15:51:19.003054] Epoch: [178] [260/850] eta: 0:08:38 lr: 0.002209 loss: 0.0258 (0.0239) loss_rec_all: 0.0616 (0.0600) loss_rec_sfr: 0.0985 (0.0851) loss_cl: -0.3677 (-0.3672) time: 0.8613 data: 0.0002 max mem: 29859 [15:51:36.280080] Epoch: [178] [280/850] eta: 0:08:20 lr: 0.002209 loss: 0.0244 (0.0240) loss_rec_all: 0.0606 (0.0601) loss_rec_sfr: 0.0792 (0.0854) loss_cl: -0.3675 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [15:51:53.546764] Epoch: [178] [300/850] eta: 0:08:02 lr: 0.002209 loss: 0.0219 (0.0239) loss_rec_all: 0.0582 (0.0600) loss_rec_sfr: 0.0599 (0.0843) loss_cl: -0.3675 (-0.3672) time: 0.8633 data: 0.0003 max mem: 29859 [15:52:10.898864] Epoch: [178] [320/850] eta: 0:07:44 lr: 0.002209 loss: 0.0229 (0.0239) loss_rec_all: 0.0589 (0.0600) loss_rec_sfr: 0.0639 (0.0840) loss_cl: -0.3674 (-0.3673) time: 0.8675 data: 0.0004 max mem: 29859 [15:52:28.121202] Epoch: [178] [340/850] eta: 0:07:26 lr: 0.002209 loss: 0.0221 (0.0238) loss_rec_all: 0.0585 (0.0600) loss_rec_sfr: 0.0643 (0.0836) loss_cl: -0.3678 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [15:52:45.433298] Epoch: [178] [360/850] eta: 0:07:08 lr: 0.002209 loss: 0.0220 (0.0238) loss_rec_all: 0.0584 (0.0600) loss_rec_sfr: 0.0681 (0.0836) loss_cl: -0.3681 (-0.3673) time: 0.8656 data: 0.0003 max mem: 29859 [15:53:02.689643] Epoch: [178] [380/850] eta: 0:06:51 lr: 0.002209 loss: 0.0215 (0.0237) loss_rec_all: 0.0578 (0.0599) loss_rec_sfr: 0.0645 (0.0835) loss_cl: -0.3674 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [15:53:19.985661] Epoch: [178] [400/850] eta: 0:06:33 lr: 0.002209 loss: 0.0218 (0.0237) loss_rec_all: 0.0580 (0.0598) loss_rec_sfr: 0.0688 (0.0833) loss_cl: -0.3666 (-0.3673) time: 0.8647 data: 0.0003 max mem: 29859 [15:53:37.233532] Epoch: [178] [420/850] eta: 0:06:15 lr: 0.002209 loss: 0.0216 (0.0236) loss_rec_all: 0.0575 (0.0598) loss_rec_sfr: 0.0692 (0.0831) loss_cl: -0.3665 (-0.3672) time: 0.8623 data: 0.0003 max mem: 29859 [15:53:54.543435] Epoch: [178] [440/850] eta: 0:05:57 lr: 0.002209 loss: 0.0229 (0.0236) loss_rec_all: 0.0587 (0.0597) loss_rec_sfr: 0.1029 (0.0838) loss_cl: -0.3668 (-0.3672) time: 0.8654 data: 0.0002 max mem: 29859 [15:54:11.797425] Epoch: [178] [460/850] eta: 0:05:40 lr: 0.002209 loss: 0.0248 (0.0237) loss_rec_all: 0.0608 (0.0598) loss_rec_sfr: 0.0691 (0.0840) loss_cl: -0.3677 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [15:54:29.060945] Epoch: [178] [480/850] eta: 0:05:22 lr: 0.002208 loss: 0.0261 (0.0238) loss_rec_all: 0.0620 (0.0599) loss_rec_sfr: 0.0944 (0.0845) loss_cl: -0.3678 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [15:54:46.426267] Epoch: [178] [500/850] eta: 0:05:05 lr: 0.002208 loss: 0.0236 (0.0238) loss_rec_all: 0.0599 (0.0600) loss_rec_sfr: 0.0739 (0.0850) loss_cl: -0.3679 (-0.3673) time: 0.8682 data: 0.0003 max mem: 29859 [15:55:03.867534] Epoch: [178] [520/850] eta: 0:04:47 lr: 0.002208 loss: 0.0245 (0.0239) loss_rec_all: 0.0608 (0.0600) loss_rec_sfr: 0.0915 (0.0851) loss_cl: -0.3676 (-0.3673) time: 0.8720 data: 0.0004 max mem: 29859 [15:55:21.099239] Epoch: [178] [540/850] eta: 0:04:30 lr: 0.002208 loss: 0.0236 (0.0239) loss_rec_all: 0.0600 (0.0600) loss_rec_sfr: 0.0887 (0.0853) loss_cl: -0.3670 (-0.3673) time: 0.8615 data: 0.0003 max mem: 29859 [15:55:38.388938] Epoch: [178] [560/850] eta: 0:04:12 lr: 0.002208 loss: 0.0228 (0.0239) loss_rec_all: 0.0590 (0.0600) loss_rec_sfr: 0.0732 (0.0852) loss_cl: -0.3672 (-0.3673) time: 0.8644 data: 0.0003 max mem: 29859 [15:55:55.711877] Epoch: [178] [580/850] eta: 0:03:55 lr: 0.002208 loss: 0.0233 (0.0239) loss_rec_all: 0.0592 (0.0600) loss_rec_sfr: 0.0678 (0.0851) loss_cl: -0.3673 (-0.3673) time: 0.8661 data: 0.0003 max mem: 29859 [15:56:12.996633] Epoch: [178] [600/850] eta: 0:03:37 lr: 0.002208 loss: 0.0232 (0.0239) loss_rec_all: 0.0593 (0.0600) loss_rec_sfr: 0.0629 (0.0849) loss_cl: -0.3670 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [15:56:30.231065] Epoch: [178] [620/850] eta: 0:03:20 lr: 0.002208 loss: 0.0246 (0.0240) loss_rec_all: 0.0604 (0.0601) loss_rec_sfr: 0.0960 (0.0851) loss_cl: -0.3674 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [15:56:47.549371] Epoch: [178] [640/850] eta: 0:03:02 lr: 0.002208 loss: 0.0244 (0.0240) loss_rec_all: 0.0603 (0.0601) loss_rec_sfr: 0.0943 (0.0854) loss_cl: -0.3673 (-0.3673) time: 0.8658 data: 0.0003 max mem: 29859 [15:57:04.770767] Epoch: [178] [660/850] eta: 0:02:45 lr: 0.002208 loss: 0.0243 (0.0240) loss_rec_all: 0.0604 (0.0602) loss_rec_sfr: 0.0949 (0.0856) loss_cl: -0.3674 (-0.3673) time: 0.8610 data: 0.0002 max mem: 29859 [15:57:22.096338] Epoch: [178] [680/850] eta: 0:02:27 lr: 0.002208 loss: 0.0231 (0.0240) loss_rec_all: 0.0593 (0.0602) loss_rec_sfr: 0.0734 (0.0854) loss_cl: -0.3679 (-0.3673) time: 0.8662 data: 0.0002 max mem: 29859 [15:57:39.338375] Epoch: [178] [700/850] eta: 0:02:10 lr: 0.002208 loss: 0.0241 (0.0241) loss_rec_all: 0.0603 (0.0602) loss_rec_sfr: 0.0901 (0.0855) loss_cl: -0.3677 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [15:57:56.637005] Epoch: [178] [720/850] eta: 0:01:53 lr: 0.002208 loss: 0.0229 (0.0241) loss_rec_all: 0.0593 (0.0602) loss_rec_sfr: 0.0677 (0.0854) loss_cl: -0.3673 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [15:58:13.907772] Epoch: [178] [740/850] eta: 0:01:35 lr: 0.002208 loss: 0.0217 (0.0240) loss_rec_all: 0.0580 (0.0601) loss_rec_sfr: 0.0622 (0.0852) loss_cl: -0.3669 (-0.3673) time: 0.8635 data: 0.0003 max mem: 29859 [15:58:31.198530] Epoch: [178] [760/850] eta: 0:01:18 lr: 0.002208 loss: 0.0229 (0.0240) loss_rec_all: 0.0588 (0.0601) loss_rec_sfr: 0.0668 (0.0852) loss_cl: -0.3668 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [15:58:48.583136] Epoch: [178] [780/850] eta: 0:01:00 lr: 0.002208 loss: 0.0226 (0.0240) loss_rec_all: 0.0588 (0.0601) loss_rec_sfr: 0.0659 (0.0851) loss_cl: -0.3665 (-0.3673) time: 0.8692 data: 0.0004 max mem: 29859 [15:59:05.861641] Epoch: [178] [800/850] eta: 0:00:43 lr: 0.002207 loss: 0.0234 (0.0240) loss_rec_all: 0.0595 (0.0601) loss_rec_sfr: 0.0689 (0.0850) loss_cl: -0.3670 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [15:59:23.112093] Epoch: [178] [820/850] eta: 0:00:26 lr: 0.002207 loss: 0.0238 (0.0240) loss_rec_all: 0.0599 (0.0601) loss_rec_sfr: 0.0685 (0.0849) loss_cl: -0.3677 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [15:59:40.416353] Epoch: [178] [840/850] eta: 0:00:08 lr: 0.002207 loss: 0.0233 (0.0240) loss_rec_all: 0.0594 (0.0601) loss_rec_sfr: 0.0757 (0.0850) loss_cl: -0.3682 (-0.3673) time: 0.8652 data: 0.0005 max mem: 29859 [15:59:48.185567] Epoch: [178] [849/850] eta: 0:00:00 lr: 0.002207 loss: 0.0245 (0.0240) loss_rec_all: 0.0607 (0.0602) loss_rec_sfr: 0.0863 (0.0849) loss_cl: -0.3683 (-0.3673) time: 0.8652 data: 0.0004 max mem: 29859 [15:59:48.333651] Epoch: [178] Total time: 0:12:18 (0.8692 s / it) [15:59:48.336123] Averaged stats: lr: 0.002207 loss: 0.0245 (0.0240) loss_rec_all: 0.0607 (0.0602) loss_rec_sfr: 0.0863 (0.0856) loss_cl: -0.3683 (-0.3673) [15:59:48.349039] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [15:59:52.855883] Epoch: [179] [ 0/850] eta: 1:03:50 lr: 0.002207 loss: 0.0206 (0.0206) loss_rec_all: 0.0570 (0.0570) loss_rec_sfr: 0.0544 (0.0544) loss_cl: -0.3680 (-0.3680) time: 4.5061 data: 3.6508 max mem: 29859 [16:00:10.082021] Epoch: [179] [ 20/850] eta: 0:14:18 lr: 0.002207 loss: 0.0237 (0.0244) loss_rec_all: 0.0599 (0.0606) loss_rec_sfr: 0.0742 (0.0836) loss_cl: -0.3683 (-0.3681) time: 0.8612 data: 0.0003 max mem: 29859 [16:00:27.324082] Epoch: [179] [ 40/850] eta: 0:12:49 lr: 0.002207 loss: 0.0235 (0.0243) loss_rec_all: 0.0599 (0.0605) loss_rec_sfr: 0.0711 (0.0861) loss_cl: -0.3676 (-0.3679) time: 0.8621 data: 0.0002 max mem: 29859 [16:00:44.714576] Epoch: [179] [ 60/850] eta: 0:12:09 lr: 0.002207 loss: 0.0252 (0.0245) loss_rec_all: 0.0609 (0.0607) loss_rec_sfr: 0.0888 (0.0870) loss_cl: -0.3673 (-0.3677) time: 0.8694 data: 0.0004 max mem: 29859 [16:01:02.046610] Epoch: [179] [ 80/850] eta: 0:11:40 lr: 0.002207 loss: 0.0228 (0.0242) loss_rec_all: 0.0590 (0.0604) loss_rec_sfr: 0.0843 (0.0879) loss_cl: -0.3670 (-0.3675) time: 0.8665 data: 0.0004 max mem: 29859 [16:01:19.280821] Epoch: [179] [100/850] eta: 0:11:15 lr: 0.002207 loss: 0.0232 (0.0242) loss_rec_all: 0.0595 (0.0603) loss_rec_sfr: 0.0740 (0.0866) loss_cl: -0.3671 (-0.3675) time: 0.8617 data: 0.0002 max mem: 29859 [16:01:36.678824] Epoch: [179] [120/850] eta: 0:10:53 lr: 0.002207 loss: 0.0227 (0.0241) loss_rec_all: 0.0588 (0.0602) loss_rec_sfr: 0.0673 (0.0849) loss_cl: -0.3673 (-0.3674) time: 0.8698 data: 0.0004 max mem: 29859 [16:01:53.951516] Epoch: [179] [140/850] eta: 0:10:32 lr: 0.002207 loss: 0.0231 (0.0239) loss_rec_all: 0.0591 (0.0601) loss_rec_sfr: 0.0909 (0.0852) loss_cl: -0.3671 (-0.3674) time: 0.8636 data: 0.0003 max mem: 29859 [16:02:11.508943] Epoch: [179] [160/850] eta: 0:10:13 lr: 0.002207 loss: 0.0223 (0.0238) loss_rec_all: 0.0584 (0.0600) loss_rec_sfr: 0.0838 (0.0854) loss_cl: -0.3671 (-0.3673) time: 0.8778 data: 0.0003 max mem: 29859 [16:02:28.866276] Epoch: [179] [180/850] eta: 0:09:54 lr: 0.002207 loss: 0.0221 (0.0237) loss_rec_all: 0.0581 (0.0599) loss_rec_sfr: 0.0726 (0.0852) loss_cl: -0.3669 (-0.3673) time: 0.8678 data: 0.0004 max mem: 29859 [16:02:46.169964] Epoch: [179] [200/850] eta: 0:09:34 lr: 0.002207 loss: 0.0227 (0.0237) loss_rec_all: 0.0588 (0.0598) loss_rec_sfr: 0.0951 (0.0859) loss_cl: -0.3669 (-0.3672) time: 0.8651 data: 0.0002 max mem: 29859 [16:03:03.442677] Epoch: [179] [220/850] eta: 0:09:16 lr: 0.002207 loss: 0.0255 (0.0239) loss_rec_all: 0.0616 (0.0600) loss_rec_sfr: 0.0738 (0.0861) loss_cl: -0.3675 (-0.3672) time: 0.8636 data: 0.0004 max mem: 29859 [16:03:20.704517] Epoch: [179] [240/850] eta: 0:08:57 lr: 0.002207 loss: 0.0256 (0.0241) loss_rec_all: 0.0620 (0.0602) loss_rec_sfr: 0.0844 (0.0867) loss_cl: -0.3676 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [16:03:38.111459] Epoch: [179] [260/850] eta: 0:08:39 lr: 0.002206 loss: 0.0249 (0.0242) loss_rec_all: 0.0611 (0.0603) loss_rec_sfr: 0.0910 (0.0868) loss_cl: -0.3678 (-0.3673) time: 0.8702 data: 0.0005 max mem: 29859 [16:03:55.500801] Epoch: [179] [280/850] eta: 0:08:21 lr: 0.002206 loss: 0.0263 (0.0243) loss_rec_all: 0.0621 (0.0605) loss_rec_sfr: 0.0983 (0.0875) loss_cl: -0.3675 (-0.3673) time: 0.8692 data: 0.0004 max mem: 29859 [16:04:12.752543] Epoch: [179] [300/850] eta: 0:08:03 lr: 0.002206 loss: 0.0235 (0.0243) loss_rec_all: 0.0595 (0.0605) loss_rec_sfr: 0.0651 (0.0866) loss_cl: -0.3675 (-0.3673) time: 0.8625 data: 0.0003 max mem: 29859 [16:04:30.225431] Epoch: [179] [320/850] eta: 0:07:45 lr: 0.002206 loss: 0.0236 (0.0244) loss_rec_all: 0.0595 (0.0605) loss_rec_sfr: 0.0913 (0.0867) loss_cl: -0.3664 (-0.3673) time: 0.8735 data: 0.0004 max mem: 29859 [16:04:47.555732] Epoch: [179] [340/850] eta: 0:07:27 lr: 0.002206 loss: 0.0250 (0.0244) loss_rec_all: 0.0609 (0.0605) loss_rec_sfr: 0.0952 (0.0874) loss_cl: -0.3664 (-0.3672) time: 0.8664 data: 0.0003 max mem: 29859 [16:05:04.887278] Epoch: [179] [360/850] eta: 0:07:09 lr: 0.002206 loss: 0.0233 (0.0244) loss_rec_all: 0.0595 (0.0605) loss_rec_sfr: 0.0847 (0.0872) loss_cl: -0.3671 (-0.3672) time: 0.8665 data: 0.0003 max mem: 29859 [16:05:22.122473] Epoch: [179] [380/850] eta: 0:06:51 lr: 0.002206 loss: 0.0228 (0.0244) loss_rec_all: 0.0589 (0.0605) loss_rec_sfr: 0.0661 (0.0869) loss_cl: -0.3679 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [16:05:39.520894] Epoch: [179] [400/850] eta: 0:06:34 lr: 0.002206 loss: 0.0229 (0.0243) loss_rec_all: 0.0591 (0.0604) loss_rec_sfr: 0.0908 (0.0871) loss_cl: -0.3678 (-0.3673) time: 0.8698 data: 0.0004 max mem: 29859 [16:05:56.833104] Epoch: [179] [420/850] eta: 0:06:16 lr: 0.002206 loss: 0.0230 (0.0242) loss_rec_all: 0.0589 (0.0604) loss_rec_sfr: 0.0739 (0.0869) loss_cl: -0.3677 (-0.3673) time: 0.8655 data: 0.0003 max mem: 29859 [16:06:14.195571] Epoch: [179] [440/850] eta: 0:05:58 lr: 0.002206 loss: 0.0242 (0.0243) loss_rec_all: 0.0600 (0.0604) loss_rec_sfr: 0.0925 (0.0871) loss_cl: -0.3679 (-0.3673) time: 0.8681 data: 0.0003 max mem: 29859 [16:06:31.500873] Epoch: [179] [460/850] eta: 0:05:41 lr: 0.002206 loss: 0.0237 (0.0243) loss_rec_all: 0.0600 (0.0604) loss_rec_sfr: 0.0875 (0.0872) loss_cl: -0.3672 (-0.3673) time: 0.8652 data: 0.0003 max mem: 29859 [16:06:48.817525] Epoch: [179] [480/850] eta: 0:05:23 lr: 0.002206 loss: 0.0226 (0.0242) loss_rec_all: 0.0588 (0.0603) loss_rec_sfr: 0.0675 (0.0870) loss_cl: -0.3666 (-0.3673) time: 0.8657 data: 0.0003 max mem: 29859 [16:07:06.479691] Epoch: [179] [500/850] eta: 0:05:06 lr: 0.002206 loss: 0.0233 (0.0242) loss_rec_all: 0.0591 (0.0603) loss_rec_sfr: 0.0681 (0.0870) loss_cl: -0.3662 (-0.3672) time: 0.8830 data: 0.0005 max mem: 29859 [16:07:23.760820] Epoch: [179] [520/850] eta: 0:04:48 lr: 0.002206 loss: 0.0228 (0.0242) loss_rec_all: 0.0590 (0.0603) loss_rec_sfr: 0.0715 (0.0868) loss_cl: -0.3671 (-0.3672) time: 0.8640 data: 0.0003 max mem: 29859 [16:07:41.047444] Epoch: [179] [540/850] eta: 0:04:30 lr: 0.002206 loss: 0.0237 (0.0242) loss_rec_all: 0.0597 (0.0603) loss_rec_sfr: 0.0909 (0.0871) loss_cl: -0.3678 (-0.3672) time: 0.8643 data: 0.0002 max mem: 29859 [16:07:58.365037] Epoch: [179] [560/850] eta: 0:04:13 lr: 0.002206 loss: 0.0229 (0.0242) loss_rec_all: 0.0592 (0.0603) loss_rec_sfr: 0.0845 (0.0871) loss_cl: -0.3685 (-0.3673) time: 0.8658 data: 0.0003 max mem: 29859 [16:08:15.606410] Epoch: [179] [580/850] eta: 0:03:55 lr: 0.002205 loss: 0.0229 (0.0242) loss_rec_all: 0.0590 (0.0603) loss_rec_sfr: 0.0647 (0.0869) loss_cl: -0.3674 (-0.3673) time: 0.8620 data: 0.0003 max mem: 29859 [16:08:32.961561] Epoch: [179] [600/850] eta: 0:03:38 lr: 0.002205 loss: 0.0224 (0.0242) loss_rec_all: 0.0586 (0.0603) loss_rec_sfr: 0.0627 (0.0867) loss_cl: -0.3673 (-0.3673) time: 0.8677 data: 0.0003 max mem: 29859 [16:08:50.231118] Epoch: [179] [620/850] eta: 0:03:20 lr: 0.002205 loss: 0.0225 (0.0241) loss_rec_all: 0.0587 (0.0603) loss_rec_sfr: 0.0666 (0.0864) loss_cl: -0.3667 (-0.3672) time: 0.8634 data: 0.0002 max mem: 29859 [16:09:07.503671] Epoch: [179] [640/850] eta: 0:03:03 lr: 0.002205 loss: 0.0231 (0.0241) loss_rec_all: 0.0590 (0.0603) loss_rec_sfr: 0.0840 (0.0864) loss_cl: -0.3669 (-0.3672) time: 0.8636 data: 0.0002 max mem: 29859 [16:09:24.761471] Epoch: [179] [660/850] eta: 0:02:45 lr: 0.002205 loss: 0.0237 (0.0242) loss_rec_all: 0.0598 (0.0603) loss_rec_sfr: 0.0966 (0.0866) loss_cl: -0.3670 (-0.3672) time: 0.8628 data: 0.0003 max mem: 29859 [16:09:42.055787] Epoch: [179] [680/850] eta: 0:02:28 lr: 0.002205 loss: 0.0230 (0.0241) loss_rec_all: 0.0593 (0.0603) loss_rec_sfr: 0.0663 (0.0866) loss_cl: -0.3678 (-0.3672) time: 0.8647 data: 0.0002 max mem: 29859 [16:09:59.281028] Epoch: [179] [700/850] eta: 0:02:10 lr: 0.002205 loss: 0.0224 (0.0241) loss_rec_all: 0.0587 (0.0602) loss_rec_sfr: 0.0643 (0.0865) loss_cl: -0.3679 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [16:10:16.563326] Epoch: [179] [720/850] eta: 0:01:53 lr: 0.002205 loss: 0.0243 (0.0241) loss_rec_all: 0.0602 (0.0603) loss_rec_sfr: 0.0873 (0.0867) loss_cl: -0.3676 (-0.3673) time: 0.8641 data: 0.0003 max mem: 29859 [16:10:33.837174] Epoch: [179] [740/850] eta: 0:01:35 lr: 0.002205 loss: 0.0247 (0.0242) loss_rec_all: 0.0608 (0.0603) loss_rec_sfr: 0.0921 (0.0869) loss_cl: -0.3672 (-0.3673) time: 0.8636 data: 0.0003 max mem: 29859 [16:10:51.115202] Epoch: [179] [760/850] eta: 0:01:18 lr: 0.002205 loss: 0.0246 (0.0242) loss_rec_all: 0.0607 (0.0603) loss_rec_sfr: 0.0741 (0.0869) loss_cl: -0.3673 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [16:11:08.355128] Epoch: [179] [780/850] eta: 0:01:00 lr: 0.002205 loss: 0.0239 (0.0242) loss_rec_all: 0.0601 (0.0603) loss_rec_sfr: 0.0903 (0.0870) loss_cl: -0.3678 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [16:11:25.674767] Epoch: [179] [800/850] eta: 0:00:43 lr: 0.002205 loss: 0.0255 (0.0242) loss_rec_all: 0.0616 (0.0603) loss_rec_sfr: 0.0943 (0.0871) loss_cl: -0.3679 (-0.3673) time: 0.8659 data: 0.0003 max mem: 29859 [16:11:42.910260] Epoch: [179] [820/850] eta: 0:00:26 lr: 0.002205 loss: 0.0222 (0.0242) loss_rec_all: 0.0586 (0.0603) loss_rec_sfr: 0.0615 (0.0869) loss_cl: -0.3677 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [16:12:00.194236] Epoch: [179] [840/850] eta: 0:00:08 lr: 0.002205 loss: 0.0236 (0.0242) loss_rec_all: 0.0595 (0.0603) loss_rec_sfr: 0.0911 (0.0870) loss_cl: -0.3675 (-0.3673) time: 0.8641 data: 0.0013 max mem: 29859 [16:12:07.941381] Epoch: [179] [849/850] eta: 0:00:00 lr: 0.002205 loss: 0.0236 (0.0242) loss_rec_all: 0.0596 (0.0603) loss_rec_sfr: 0.0711 (0.0869) loss_cl: -0.3670 (-0.3673) time: 0.8637 data: 0.0012 max mem: 29859 [16:12:08.134031] Epoch: [179] Total time: 0:12:19 (0.8703 s / it) [16:12:08.137566] Averaged stats: lr: 0.002205 loss: 0.0236 (0.0242) loss_rec_all: 0.0596 (0.0603) loss_rec_sfr: 0.0711 (0.0864) loss_cl: -0.3670 (-0.3673) [16:12:08.150015] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [16:12:13.890525] Epoch: [180] [ 0/850] eta: 1:21:18 lr: 0.002205 loss: 0.0235 (0.0235) loss_rec_all: 0.0592 (0.0592) loss_rec_sfr: 0.1265 (0.1265) loss_cl: -0.3658 (-0.3658) time: 5.7396 data: 4.3879 max mem: 29859 [16:12:31.116610] Epoch: [180] [ 20/850] eta: 0:15:07 lr: 0.002205 loss: 0.0220 (0.0228) loss_rec_all: 0.0583 (0.0589) loss_rec_sfr: 0.0708 (0.0866) loss_cl: -0.3672 (-0.3671) time: 0.8612 data: 0.0003 max mem: 29859 [16:12:48.345589] Epoch: [180] [ 40/850] eta: 0:13:14 lr: 0.002204 loss: 0.0238 (0.0239) loss_rec_all: 0.0599 (0.0600) loss_rec_sfr: 0.0925 (0.0868) loss_cl: -0.3667 (-0.3669) time: 0.8614 data: 0.0002 max mem: 29859 [16:13:05.558189] Epoch: [180] [ 60/850] eta: 0:12:23 lr: 0.002204 loss: 0.0232 (0.0236) loss_rec_all: 0.0592 (0.0597) loss_rec_sfr: 0.0654 (0.0849) loss_cl: -0.3667 (-0.3668) time: 0.8606 data: 0.0002 max mem: 29859 [16:13:22.837704] Epoch: [180] [ 80/850] eta: 0:11:49 lr: 0.002204 loss: 0.0222 (0.0233) loss_rec_all: 0.0581 (0.0594) loss_rec_sfr: 0.0660 (0.0830) loss_cl: -0.3670 (-0.3668) time: 0.8639 data: 0.0002 max mem: 29859 [16:13:40.052717] Epoch: [180] [100/850] eta: 0:11:22 lr: 0.002204 loss: 0.0225 (0.0231) loss_rec_all: 0.0584 (0.0592) loss_rec_sfr: 0.0927 (0.0845) loss_cl: -0.3669 (-0.3668) time: 0.8607 data: 0.0002 max mem: 29859 [16:13:57.312357] Epoch: [180] [120/850] eta: 0:10:58 lr: 0.002204 loss: 0.0225 (0.0230) loss_rec_all: 0.0585 (0.0591) loss_rec_sfr: 0.0631 (0.0829) loss_cl: -0.3676 (-0.3669) time: 0.8629 data: 0.0003 max mem: 29859 [16:14:14.563869] Epoch: [180] [140/850] eta: 0:10:36 lr: 0.002204 loss: 0.0242 (0.0234) loss_rec_all: 0.0603 (0.0595) loss_rec_sfr: 0.0941 (0.0842) loss_cl: -0.3678 (-0.3671) time: 0.8625 data: 0.0003 max mem: 29859 [16:14:31.826550] Epoch: [180] [160/850] eta: 0:10:15 lr: 0.002204 loss: 0.0233 (0.0236) loss_rec_all: 0.0595 (0.0597) loss_rec_sfr: 0.0713 (0.0845) loss_cl: -0.3680 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [16:14:49.042504] Epoch: [180] [180/850] eta: 0:09:55 lr: 0.002204 loss: 0.0237 (0.0237) loss_rec_all: 0.0600 (0.0598) loss_rec_sfr: 0.0842 (0.0843) loss_cl: -0.3675 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [16:15:06.313333] Epoch: [180] [200/850] eta: 0:09:36 lr: 0.002204 loss: 0.0232 (0.0239) loss_rec_all: 0.0595 (0.0600) loss_rec_sfr: 0.0741 (0.0847) loss_cl: -0.3670 (-0.3672) time: 0.8635 data: 0.0003 max mem: 29859 [16:15:23.559580] Epoch: [180] [220/850] eta: 0:09:17 lr: 0.002204 loss: 0.0243 (0.0239) loss_rec_all: 0.0604 (0.0601) loss_rec_sfr: 0.0623 (0.0839) loss_cl: -0.3670 (-0.3672) time: 0.8623 data: 0.0003 max mem: 29859 [16:15:40.811970] Epoch: [180] [240/850] eta: 0:08:58 lr: 0.002204 loss: 0.0246 (0.0241) loss_rec_all: 0.0608 (0.0603) loss_rec_sfr: 0.0899 (0.0840) loss_cl: -0.3671 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [16:15:58.030282] Epoch: [180] [260/850] eta: 0:08:39 lr: 0.002204 loss: 0.0235 (0.0241) loss_rec_all: 0.0599 (0.0603) loss_rec_sfr: 0.0724 (0.0838) loss_cl: -0.3674 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [16:16:15.310772] Epoch: [180] [280/850] eta: 0:08:21 lr: 0.002204 loss: 0.0233 (0.0242) loss_rec_all: 0.0595 (0.0603) loss_rec_sfr: 0.0720 (0.0835) loss_cl: -0.3669 (-0.3672) time: 0.8640 data: 0.0003 max mem: 29859 [16:16:32.530716] Epoch: [180] [300/850] eta: 0:08:03 lr: 0.002204 loss: 0.0225 (0.0241) loss_rec_all: 0.0588 (0.0603) loss_rec_sfr: 0.0713 (0.0833) loss_cl: -0.3669 (-0.3671) time: 0.8609 data: 0.0002 max mem: 29859 [16:16:49.783337] Epoch: [180] [320/850] eta: 0:07:44 lr: 0.002204 loss: 0.0232 (0.0241) loss_rec_all: 0.0594 (0.0602) loss_rec_sfr: 0.0703 (0.0831) loss_cl: -0.3670 (-0.3671) time: 0.8626 data: 0.0002 max mem: 29859 [16:17:07.010628] Epoch: [180] [340/850] eta: 0:07:26 lr: 0.002204 loss: 0.0232 (0.0241) loss_rec_all: 0.0592 (0.0602) loss_rec_sfr: 0.0921 (0.0836) loss_cl: -0.3678 (-0.3672) time: 0.8613 data: 0.0002 max mem: 29859 [16:17:24.337272] Epoch: [180] [360/850] eta: 0:07:09 lr: 0.002203 loss: 0.0226 (0.0240) loss_rec_all: 0.0586 (0.0602) loss_rec_sfr: 0.0665 (0.0832) loss_cl: -0.3676 (-0.3672) time: 0.8663 data: 0.0002 max mem: 29859 [16:17:41.542404] Epoch: [180] [380/850] eta: 0:06:51 lr: 0.002203 loss: 0.0224 (0.0239) loss_rec_all: 0.0587 (0.0601) loss_rec_sfr: 0.0617 (0.0833) loss_cl: -0.3677 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [16:17:58.818548] Epoch: [180] [400/850] eta: 0:06:33 lr: 0.002203 loss: 0.0233 (0.0240) loss_rec_all: 0.0596 (0.0601) loss_rec_sfr: 0.0621 (0.0831) loss_cl: -0.3675 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [16:18:16.064215] Epoch: [180] [420/850] eta: 0:06:15 lr: 0.002203 loss: 0.0242 (0.0241) loss_rec_all: 0.0602 (0.0602) loss_rec_sfr: 0.0947 (0.0836) loss_cl: -0.3668 (-0.3672) time: 0.8622 data: 0.0003 max mem: 29859 [16:18:33.320183] Epoch: [180] [440/850] eta: 0:05:58 lr: 0.002203 loss: 0.0240 (0.0241) loss_rec_all: 0.0602 (0.0602) loss_rec_sfr: 0.0690 (0.0836) loss_cl: -0.3670 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [16:18:50.529738] Epoch: [180] [460/850] eta: 0:05:40 lr: 0.002203 loss: 0.0232 (0.0241) loss_rec_all: 0.0590 (0.0602) loss_rec_sfr: 0.1046 (0.0841) loss_cl: -0.3671 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [16:19:07.805520] Epoch: [180] [480/850] eta: 0:05:22 lr: 0.002203 loss: 0.0232 (0.0241) loss_rec_all: 0.0596 (0.0602) loss_rec_sfr: 0.0710 (0.0842) loss_cl: -0.3678 (-0.3672) time: 0.8636 data: 0.0002 max mem: 29859 [16:19:25.029612] Epoch: [180] [500/850] eta: 0:05:05 lr: 0.002203 loss: 0.0236 (0.0241) loss_rec_all: 0.0597 (0.0602) loss_rec_sfr: 0.0815 (0.0844) loss_cl: -0.3680 (-0.3673) time: 0.8612 data: 0.0003 max mem: 29859 [16:19:42.279577] Epoch: [180] [520/850] eta: 0:04:47 lr: 0.002203 loss: 0.0236 (0.0241) loss_rec_all: 0.0596 (0.0602) loss_rec_sfr: 0.0694 (0.0844) loss_cl: -0.3680 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [16:19:59.487815] Epoch: [180] [540/850] eta: 0:04:30 lr: 0.002203 loss: 0.0252 (0.0242) loss_rec_all: 0.0616 (0.0604) loss_rec_sfr: 0.0720 (0.0847) loss_cl: -0.3674 (-0.3673) time: 0.8604 data: 0.0002 max mem: 29859 [16:20:16.796390] Epoch: [180] [560/850] eta: 0:04:12 lr: 0.002203 loss: 0.0244 (0.0243) loss_rec_all: 0.0606 (0.0604) loss_rec_sfr: 0.0666 (0.0847) loss_cl: -0.3671 (-0.3673) time: 0.8654 data: 0.0003 max mem: 29859 [16:20:34.007754] Epoch: [180] [580/850] eta: 0:03:55 lr: 0.002203 loss: 0.0224 (0.0243) loss_rec_all: 0.0585 (0.0604) loss_rec_sfr: 0.0631 (0.0845) loss_cl: -0.3668 (-0.3673) time: 0.8605 data: 0.0002 max mem: 29859 [16:20:51.253859] Epoch: [180] [600/850] eta: 0:03:37 lr: 0.002203 loss: 0.0234 (0.0243) loss_rec_all: 0.0595 (0.0604) loss_rec_sfr: 0.0692 (0.0845) loss_cl: -0.3667 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [16:21:08.492207] Epoch: [180] [620/850] eta: 0:03:20 lr: 0.002203 loss: 0.0222 (0.0242) loss_rec_all: 0.0583 (0.0604) loss_rec_sfr: 0.0667 (0.0844) loss_cl: -0.3670 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [16:21:25.751069] Epoch: [180] [640/850] eta: 0:03:02 lr: 0.002203 loss: 0.0239 (0.0243) loss_rec_all: 0.0601 (0.0604) loss_rec_sfr: 0.0981 (0.0848) loss_cl: -0.3670 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [16:21:42.959901] Epoch: [180] [660/850] eta: 0:02:45 lr: 0.002203 loss: 0.0227 (0.0243) loss_rec_all: 0.0587 (0.0604) loss_rec_sfr: 0.0715 (0.0848) loss_cl: -0.3673 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [16:22:00.217641] Epoch: [180] [680/850] eta: 0:02:27 lr: 0.002202 loss: 0.0227 (0.0242) loss_rec_all: 0.0590 (0.0604) loss_rec_sfr: 0.0703 (0.0847) loss_cl: -0.3678 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [16:22:17.476943] Epoch: [180] [700/850] eta: 0:02:10 lr: 0.002202 loss: 0.0226 (0.0242) loss_rec_all: 0.0584 (0.0603) loss_rec_sfr: 0.0750 (0.0846) loss_cl: -0.3674 (-0.3672) time: 0.8629 data: 0.0003 max mem: 29859 [16:22:34.721204] Epoch: [180] [720/850] eta: 0:01:52 lr: 0.002202 loss: 0.0235 (0.0242) loss_rec_all: 0.0598 (0.0603) loss_rec_sfr: 0.0886 (0.0848) loss_cl: -0.3676 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [16:22:51.934335] Epoch: [180] [740/850] eta: 0:01:35 lr: 0.002202 loss: 0.0235 (0.0242) loss_rec_all: 0.0598 (0.0603) loss_rec_sfr: 0.0862 (0.0847) loss_cl: -0.3676 (-0.3673) time: 0.8606 data: 0.0002 max mem: 29859 [16:23:09.220721] Epoch: [180] [760/850] eta: 0:01:18 lr: 0.002202 loss: 0.0225 (0.0242) loss_rec_all: 0.0586 (0.0603) loss_rec_sfr: 0.0708 (0.0846) loss_cl: -0.3672 (-0.3673) time: 0.8643 data: 0.0003 max mem: 29859 [16:23:26.430082] Epoch: [180] [780/850] eta: 0:01:00 lr: 0.002202 loss: 0.0228 (0.0242) loss_rec_all: 0.0590 (0.0603) loss_rec_sfr: 0.0674 (0.0845) loss_cl: -0.3671 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [16:23:43.668974] Epoch: [180] [800/850] eta: 0:00:43 lr: 0.002202 loss: 0.0228 (0.0242) loss_rec_all: 0.0591 (0.0603) loss_rec_sfr: 0.0770 (0.0845) loss_cl: -0.3668 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [16:24:00.887087] Epoch: [180] [820/850] eta: 0:00:26 lr: 0.002202 loss: 0.0226 (0.0242) loss_rec_all: 0.0589 (0.0603) loss_rec_sfr: 0.0726 (0.0846) loss_cl: -0.3671 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [16:24:18.171411] Epoch: [180] [840/850] eta: 0:00:08 lr: 0.002202 loss: 0.0225 (0.0242) loss_rec_all: 0.0586 (0.0603) loss_rec_sfr: 0.0748 (0.0846) loss_cl: -0.3677 (-0.3672) time: 0.8642 data: 0.0006 max mem: 29859 [16:24:25.913780] Epoch: [180] [849/850] eta: 0:00:00 lr: 0.002202 loss: 0.0217 (0.0241) loss_rec_all: 0.0581 (0.0603) loss_rec_sfr: 0.0611 (0.0845) loss_cl: -0.3678 (-0.3672) time: 0.8629 data: 0.0005 max mem: 29859 [16:24:26.084339] Epoch: [180] Total time: 0:12:17 (0.8682 s / it) [16:24:26.086371] Averaged stats: lr: 0.002202 loss: 0.0217 (0.0242) loss_rec_all: 0.0581 (0.0603) loss_rec_sfr: 0.0611 (0.0850) loss_cl: -0.3678 (-0.3673) [16:24:26.092309] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [16:24:30.640780] Epoch: [181] [ 0/850] eta: 1:04:25 lr: 0.002202 loss: 0.0228 (0.0228) loss_rec_all: 0.0588 (0.0588) loss_rec_sfr: 0.1031 (0.1031) loss_cl: -0.3682 (-0.3682) time: 4.5475 data: 3.6896 max mem: 29859 [16:24:47.811979] Epoch: [181] [ 20/850] eta: 0:14:18 lr: 0.002202 loss: 0.0227 (0.0243) loss_rec_all: 0.0589 (0.0605) loss_rec_sfr: 0.0715 (0.0848) loss_cl: -0.3675 (-0.3676) time: 0.8585 data: 0.0002 max mem: 29859 [16:25:05.080766] Epoch: [181] [ 40/850] eta: 0:12:50 lr: 0.002202 loss: 0.0231 (0.0236) loss_rec_all: 0.0589 (0.0597) loss_rec_sfr: 0.0845 (0.0869) loss_cl: -0.3671 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [16:25:22.331811] Epoch: [181] [ 60/850] eta: 0:12:08 lr: 0.002202 loss: 0.0219 (0.0234) loss_rec_all: 0.0583 (0.0595) loss_rec_sfr: 0.0605 (0.0829) loss_cl: -0.3675 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [16:25:39.567378] Epoch: [181] [ 80/850] eta: 0:11:38 lr: 0.002202 loss: 0.0220 (0.0233) loss_rec_all: 0.0584 (0.0594) loss_rec_sfr: 0.0716 (0.0845) loss_cl: -0.3678 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [16:25:56.792600] Epoch: [181] [100/850] eta: 0:11:13 lr: 0.002202 loss: 0.0216 (0.0231) loss_rec_all: 0.0580 (0.0593) loss_rec_sfr: 0.0609 (0.0843) loss_cl: -0.3676 (-0.3675) time: 0.8612 data: 0.0002 max mem: 29859 [16:26:14.112431] Epoch: [181] [120/850] eta: 0:10:51 lr: 0.002201 loss: 0.0243 (0.0234) loss_rec_all: 0.0603 (0.0595) loss_rec_sfr: 0.0941 (0.0867) loss_cl: -0.3674 (-0.3675) time: 0.8659 data: 0.0002 max mem: 29859 [16:26:31.364881] Epoch: [181] [140/850] eta: 0:10:30 lr: 0.002201 loss: 0.0235 (0.0235) loss_rec_all: 0.0596 (0.0596) loss_rec_sfr: 0.0708 (0.0874) loss_cl: -0.3673 (-0.3674) time: 0.8625 data: 0.0003 max mem: 29859 [16:26:48.627256] Epoch: [181] [160/850] eta: 0:10:10 lr: 0.002201 loss: 0.0225 (0.0235) loss_rec_all: 0.0585 (0.0596) loss_rec_sfr: 0.0677 (0.0877) loss_cl: -0.3669 (-0.3674) time: 0.8631 data: 0.0003 max mem: 29859 [16:27:05.894111] Epoch: [181] [180/850] eta: 0:09:51 lr: 0.002201 loss: 0.0222 (0.0235) loss_rec_all: 0.0585 (0.0596) loss_rec_sfr: 0.0706 (0.0869) loss_cl: -0.3673 (-0.3674) time: 0.8633 data: 0.0003 max mem: 29859 [16:27:23.167252] Epoch: [181] [200/850] eta: 0:09:32 lr: 0.002201 loss: 0.0226 (0.0234) loss_rec_all: 0.0588 (0.0596) loss_rec_sfr: 0.0858 (0.0878) loss_cl: -0.3674 (-0.3674) time: 0.8636 data: 0.0003 max mem: 29859 [16:27:40.380186] Epoch: [181] [220/850] eta: 0:09:13 lr: 0.002201 loss: 0.0230 (0.0235) loss_rec_all: 0.0590 (0.0596) loss_rec_sfr: 0.0892 (0.0887) loss_cl: -0.3674 (-0.3674) time: 0.8606 data: 0.0002 max mem: 29859 [16:27:57.668900] Epoch: [181] [240/850] eta: 0:08:55 lr: 0.002201 loss: 0.0229 (0.0235) loss_rec_all: 0.0586 (0.0596) loss_rec_sfr: 0.0781 (0.0888) loss_cl: -0.3673 (-0.3674) time: 0.8644 data: 0.0002 max mem: 29859 [16:28:14.907824] Epoch: [181] [260/850] eta: 0:08:37 lr: 0.002201 loss: 0.0248 (0.0236) loss_rec_all: 0.0606 (0.0597) loss_rec_sfr: 0.1116 (0.0901) loss_cl: -0.3670 (-0.3673) time: 0.8619 data: 0.0003 max mem: 29859 [16:28:32.180659] Epoch: [181] [280/850] eta: 0:08:19 lr: 0.002201 loss: 0.0233 (0.0236) loss_rec_all: 0.0590 (0.0597) loss_rec_sfr: 0.0889 (0.0903) loss_cl: -0.3671 (-0.3673) time: 0.8636 data: 0.0003 max mem: 29859 [16:28:49.390808] Epoch: [181] [300/850] eta: 0:08:01 lr: 0.002201 loss: 0.0212 (0.0235) loss_rec_all: 0.0575 (0.0596) loss_rec_sfr: 0.0660 (0.0892) loss_cl: -0.3668 (-0.3673) time: 0.8605 data: 0.0002 max mem: 29859 [16:29:06.740230] Epoch: [181] [320/850] eta: 0:07:43 lr: 0.002201 loss: 0.0219 (0.0235) loss_rec_all: 0.0580 (0.0596) loss_rec_sfr: 0.0717 (0.0887) loss_cl: -0.3671 (-0.3672) time: 0.8674 data: 0.0003 max mem: 29859 [16:29:23.946429] Epoch: [181] [340/850] eta: 0:07:25 lr: 0.002201 loss: 0.0258 (0.0236) loss_rec_all: 0.0618 (0.0597) loss_rec_sfr: 0.0886 (0.0886) loss_cl: -0.3670 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [16:29:41.218828] Epoch: [181] [360/850] eta: 0:07:07 lr: 0.002201 loss: 0.0250 (0.0237) loss_rec_all: 0.0611 (0.0598) loss_rec_sfr: 0.0908 (0.0886) loss_cl: -0.3671 (-0.3672) time: 0.8636 data: 0.0003 max mem: 29859 [16:29:58.467415] Epoch: [181] [380/850] eta: 0:06:49 lr: 0.002201 loss: 0.0249 (0.0238) loss_rec_all: 0.0614 (0.0599) loss_rec_sfr: 0.0981 (0.0889) loss_cl: -0.3684 (-0.3673) time: 0.8624 data: 0.0003 max mem: 29859 [16:30:15.745285] Epoch: [181] [400/850] eta: 0:06:32 lr: 0.002201 loss: 0.0244 (0.0239) loss_rec_all: 0.0607 (0.0600) loss_rec_sfr: 0.0918 (0.0890) loss_cl: -0.3685 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [16:30:32.988656] Epoch: [181] [420/850] eta: 0:06:14 lr: 0.002201 loss: 0.0230 (0.0239) loss_rec_all: 0.0590 (0.0600) loss_rec_sfr: 0.0694 (0.0889) loss_cl: -0.3678 (-0.3674) time: 0.8621 data: 0.0003 max mem: 29859 [16:30:50.243253] Epoch: [181] [440/850] eta: 0:05:57 lr: 0.002200 loss: 0.0245 (0.0239) loss_rec_all: 0.0601 (0.0600) loss_rec_sfr: 0.0671 (0.0887) loss_cl: -0.3670 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [16:31:07.538541] Epoch: [181] [460/850] eta: 0:05:39 lr: 0.002200 loss: 0.0227 (0.0239) loss_rec_all: 0.0586 (0.0600) loss_rec_sfr: 0.0923 (0.0887) loss_cl: -0.3662 (-0.3673) time: 0.8647 data: 0.0003 max mem: 29859 [16:31:24.782550] Epoch: [181] [480/850] eta: 0:05:22 lr: 0.002200 loss: 0.0225 (0.0239) loss_rec_all: 0.0588 (0.0600) loss_rec_sfr: 0.0669 (0.0883) loss_cl: -0.3667 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [16:31:42.003698] Epoch: [181] [500/850] eta: 0:05:04 lr: 0.002200 loss: 0.0239 (0.0239) loss_rec_all: 0.0599 (0.0600) loss_rec_sfr: 0.0760 (0.0882) loss_cl: -0.3667 (-0.3673) time: 0.8610 data: 0.0002 max mem: 29859 [16:31:59.303306] Epoch: [181] [520/850] eta: 0:04:47 lr: 0.002200 loss: 0.0226 (0.0238) loss_rec_all: 0.0587 (0.0600) loss_rec_sfr: 0.0700 (0.0883) loss_cl: -0.3672 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [16:32:16.526268] Epoch: [181] [540/850] eta: 0:04:29 lr: 0.002200 loss: 0.0222 (0.0238) loss_rec_all: 0.0582 (0.0599) loss_rec_sfr: 0.0914 (0.0884) loss_cl: -0.3675 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [16:32:33.775359] Epoch: [181] [560/850] eta: 0:04:12 lr: 0.002200 loss: 0.0220 (0.0238) loss_rec_all: 0.0582 (0.0599) loss_rec_sfr: 0.0700 (0.0881) loss_cl: -0.3674 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [16:32:51.000002] Epoch: [181] [580/850] eta: 0:03:54 lr: 0.002200 loss: 0.0221 (0.0238) loss_rec_all: 0.0583 (0.0599) loss_rec_sfr: 0.0828 (0.0878) loss_cl: -0.3673 (-0.3672) time: 0.8612 data: 0.0003 max mem: 29859 [16:33:08.380316] Epoch: [181] [600/850] eta: 0:03:37 lr: 0.002200 loss: 0.0225 (0.0238) loss_rec_all: 0.0587 (0.0599) loss_rec_sfr: 0.0754 (0.0877) loss_cl: -0.3666 (-0.3672) time: 0.8690 data: 0.0002 max mem: 29859 [16:33:25.585219] Epoch: [181] [620/850] eta: 0:03:19 lr: 0.002200 loss: 0.0240 (0.0238) loss_rec_all: 0.0601 (0.0599) loss_rec_sfr: 0.0801 (0.0877) loss_cl: -0.3671 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [16:33:42.845628] Epoch: [181] [640/850] eta: 0:03:02 lr: 0.002200 loss: 0.0230 (0.0238) loss_rec_all: 0.0591 (0.0599) loss_rec_sfr: 0.0666 (0.0875) loss_cl: -0.3680 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [16:34:00.088029] Epoch: [181] [660/850] eta: 0:02:44 lr: 0.002200 loss: 0.0324 (0.0241) loss_rec_all: 0.0686 (0.0602) loss_rec_sfr: 0.1049 (0.0880) loss_cl: -0.3683 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [16:34:17.349230] Epoch: [181] [680/850] eta: 0:02:27 lr: 0.002200 loss: 0.0301 (0.0243) loss_rec_all: 0.0664 (0.0604) loss_rec_sfr: 0.0841 (0.0882) loss_cl: -0.3680 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [16:34:34.559436] Epoch: [181] [700/850] eta: 0:02:10 lr: 0.002200 loss: 0.0300 (0.0244) loss_rec_all: 0.0660 (0.0605) loss_rec_sfr: 0.0873 (0.0884) loss_cl: -0.3674 (-0.3673) time: 0.8605 data: 0.0002 max mem: 29859 [16:34:51.899070] Epoch: [181] [720/850] eta: 0:01:52 lr: 0.002200 loss: 0.0282 (0.0245) loss_rec_all: 0.0641 (0.0607) loss_rec_sfr: 0.0962 (0.0888) loss_cl: -0.3672 (-0.3673) time: 0.8669 data: 0.0002 max mem: 29859 [16:35:09.126102] Epoch: [181] [740/850] eta: 0:01:35 lr: 0.002200 loss: 0.0270 (0.0246) loss_rec_all: 0.0630 (0.0607) loss_rec_sfr: 0.0833 (0.0888) loss_cl: -0.3668 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [16:35:26.369380] Epoch: [181] [760/850] eta: 0:01:18 lr: 0.002199 loss: 0.0249 (0.0247) loss_rec_all: 0.0608 (0.0608) loss_rec_sfr: 0.0661 (0.0886) loss_cl: -0.3675 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [16:35:43.624502] Epoch: [181] [780/850] eta: 0:01:00 lr: 0.002199 loss: 0.0228 (0.0246) loss_rec_all: 0.0591 (0.0608) loss_rec_sfr: 0.0607 (0.0881) loss_cl: -0.3683 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [16:36:00.900369] Epoch: [181] [800/850] eta: 0:00:43 lr: 0.002199 loss: 0.0248 (0.0246) loss_rec_all: 0.0608 (0.0608) loss_rec_sfr: 0.0698 (0.0881) loss_cl: -0.3679 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [16:36:18.128088] Epoch: [181] [820/850] eta: 0:00:26 lr: 0.002199 loss: 0.0232 (0.0246) loss_rec_all: 0.0593 (0.0608) loss_rec_sfr: 0.0638 (0.0880) loss_cl: -0.3676 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [16:36:35.375758] Epoch: [181] [840/850] eta: 0:00:08 lr: 0.002199 loss: 0.0225 (0.0246) loss_rec_all: 0.0588 (0.0607) loss_rec_sfr: 0.0607 (0.0876) loss_cl: -0.3671 (-0.3673) time: 0.8623 data: 0.0005 max mem: 29859 [16:36:43.157451] Epoch: [181] [849/850] eta: 0:00:00 lr: 0.002199 loss: 0.0231 (0.0246) loss_rec_all: 0.0593 (0.0607) loss_rec_sfr: 0.0597 (0.0874) loss_cl: -0.3670 (-0.3673) time: 0.8641 data: 0.0005 max mem: 29859 [16:36:43.314675] Epoch: [181] Total time: 0:12:17 (0.8673 s / it) [16:36:43.322240] Averaged stats: lr: 0.002199 loss: 0.0231 (0.0246) loss_rec_all: 0.0593 (0.0607) loss_rec_sfr: 0.0597 (0.0874) loss_cl: -0.3670 (-0.3673) [16:36:43.335014] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [16:36:47.919060] Epoch: [182] [ 0/850] eta: 1:04:55 lr: 0.002199 loss: 0.0229 (0.0229) loss_rec_all: 0.0589 (0.0589) loss_rec_sfr: 0.1077 (0.1077) loss_cl: -0.3678 (-0.3678) time: 4.5830 data: 3.3694 max mem: 29859 [16:37:05.086391] Epoch: [182] [ 20/850] eta: 0:14:19 lr: 0.002199 loss: 0.0219 (0.0221) loss_rec_all: 0.0577 (0.0581) loss_rec_sfr: 0.1017 (0.0920) loss_cl: -0.3663 (-0.3663) time: 0.8583 data: 0.0002 max mem: 29859 [16:37:22.317429] Epoch: [182] [ 40/850] eta: 0:12:50 lr: 0.002199 loss: 0.0203 (0.0217) loss_rec_all: 0.0566 (0.0578) loss_rec_sfr: 0.0588 (0.0827) loss_cl: -0.3665 (-0.3665) time: 0.8615 data: 0.0002 max mem: 29859 [16:37:39.590569] Epoch: [182] [ 60/850] eta: 0:12:08 lr: 0.002199 loss: 0.0209 (0.0219) loss_rec_all: 0.0568 (0.0579) loss_rec_sfr: 0.0641 (0.0823) loss_cl: -0.3666 (-0.3664) time: 0.8636 data: 0.0002 max mem: 29859 [16:37:56.858604] Epoch: [182] [ 80/850] eta: 0:11:38 lr: 0.002199 loss: 0.0205 (0.0218) loss_rec_all: 0.0568 (0.0578) loss_rec_sfr: 0.0567 (0.0799) loss_cl: -0.3666 (-0.3664) time: 0.8634 data: 0.0002 max mem: 29859 [16:38:14.096131] Epoch: [182] [100/850] eta: 0:11:13 lr: 0.002199 loss: 0.0221 (0.0220) loss_rec_all: 0.0585 (0.0580) loss_rec_sfr: 0.0867 (0.0819) loss_cl: -0.3672 (-0.3666) time: 0.8618 data: 0.0002 max mem: 29859 [16:38:31.356855] Epoch: [182] [120/850] eta: 0:10:51 lr: 0.002199 loss: 0.0222 (0.0220) loss_rec_all: 0.0585 (0.0582) loss_rec_sfr: 0.0629 (0.0801) loss_cl: -0.3684 (-0.3669) time: 0.8630 data: 0.0002 max mem: 29859 [16:38:48.604448] Epoch: [182] [140/850] eta: 0:10:30 lr: 0.002199 loss: 0.0235 (0.0225) loss_rec_all: 0.0598 (0.0586) loss_rec_sfr: 0.0686 (0.0805) loss_cl: -0.3683 (-0.3670) time: 0.8623 data: 0.0003 max mem: 29859 [16:39:05.851814] Epoch: [182] [160/850] eta: 0:10:10 lr: 0.002199 loss: 0.0248 (0.0228) loss_rec_all: 0.0607 (0.0589) loss_rec_sfr: 0.1085 (0.0828) loss_cl: -0.3674 (-0.3671) time: 0.8623 data: 0.0002 max mem: 29859 [16:39:23.082838] Epoch: [182] [180/850] eta: 0:09:51 lr: 0.002199 loss: 0.0278 (0.0238) loss_rec_all: 0.0638 (0.0599) loss_rec_sfr: 0.1054 (0.0850) loss_cl: -0.3669 (-0.3671) time: 0.8615 data: 0.0002 max mem: 29859 [16:39:40.383124] Epoch: [182] [200/850] eta: 0:09:32 lr: 0.002198 loss: 0.0269 (0.0242) loss_rec_all: 0.0628 (0.0603) loss_rec_sfr: 0.0873 (0.0854) loss_cl: -0.3673 (-0.3671) time: 0.8650 data: 0.0002 max mem: 29859 [16:39:57.588407] Epoch: [182] [220/850] eta: 0:09:13 lr: 0.002198 loss: 0.0246 (0.0244) loss_rec_all: 0.0609 (0.0605) loss_rec_sfr: 0.0741 (0.0850) loss_cl: -0.3672 (-0.3671) time: 0.8602 data: 0.0002 max mem: 29859 [16:40:14.855577] Epoch: [182] [240/850] eta: 0:08:55 lr: 0.002198 loss: 0.0262 (0.0246) loss_rec_all: 0.0620 (0.0607) loss_rec_sfr: 0.1001 (0.0861) loss_cl: -0.3674 (-0.3671) time: 0.8633 data: 0.0003 max mem: 29859 [16:40:32.109757] Epoch: [182] [260/850] eta: 0:08:37 lr: 0.002198 loss: 0.0255 (0.0248) loss_rec_all: 0.0616 (0.0609) loss_rec_sfr: 0.0941 (0.0866) loss_cl: -0.3674 (-0.3671) time: 0.8627 data: 0.0002 max mem: 29859 [16:40:49.379928] Epoch: [182] [280/850] eta: 0:08:19 lr: 0.002198 loss: 0.0239 (0.0248) loss_rec_all: 0.0602 (0.0609) loss_rec_sfr: 0.0702 (0.0867) loss_cl: -0.3673 (-0.3672) time: 0.8635 data: 0.0002 max mem: 29859 [16:41:06.584542] Epoch: [182] [300/850] eta: 0:08:00 lr: 0.002198 loss: 0.0232 (0.0247) loss_rec_all: 0.0594 (0.0609) loss_rec_sfr: 0.0661 (0.0862) loss_cl: -0.3676 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [16:41:23.884053] Epoch: [182] [320/850] eta: 0:07:43 lr: 0.002198 loss: 0.0228 (0.0247) loss_rec_all: 0.0590 (0.0608) loss_rec_sfr: 0.0670 (0.0864) loss_cl: -0.3679 (-0.3672) time: 0.8649 data: 0.0003 max mem: 29859 [16:41:41.121636] Epoch: [182] [340/850] eta: 0:07:25 lr: 0.002198 loss: 0.0216 (0.0246) loss_rec_all: 0.0579 (0.0607) loss_rec_sfr: 0.0682 (0.0864) loss_cl: -0.3677 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [16:41:58.383039] Epoch: [182] [360/850] eta: 0:07:07 lr: 0.002198 loss: 0.0219 (0.0245) loss_rec_all: 0.0581 (0.0606) loss_rec_sfr: 0.0907 (0.0863) loss_cl: -0.3673 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [16:42:15.597994] Epoch: [182] [380/850] eta: 0:06:49 lr: 0.002198 loss: 0.0227 (0.0244) loss_rec_all: 0.0586 (0.0605) loss_rec_sfr: 0.0900 (0.0864) loss_cl: -0.3678 (-0.3673) time: 0.8607 data: 0.0002 max mem: 29859 [16:42:32.875163] Epoch: [182] [400/850] eta: 0:06:32 lr: 0.002198 loss: 0.0214 (0.0243) loss_rec_all: 0.0575 (0.0604) loss_rec_sfr: 0.0618 (0.0860) loss_cl: -0.3675 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [16:42:50.093982] Epoch: [182] [420/850] eta: 0:06:14 lr: 0.002198 loss: 0.0219 (0.0242) loss_rec_all: 0.0583 (0.0603) loss_rec_sfr: 0.0867 (0.0859) loss_cl: -0.3671 (-0.3673) time: 0.8609 data: 0.0002 max mem: 29859 [16:43:07.346190] Epoch: [182] [440/850] eta: 0:05:56 lr: 0.002198 loss: 0.0227 (0.0242) loss_rec_all: 0.0589 (0.0603) loss_rec_sfr: 0.0918 (0.0859) loss_cl: -0.3674 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [16:43:24.642566] Epoch: [182] [460/850] eta: 0:05:39 lr: 0.002198 loss: 0.0230 (0.0241) loss_rec_all: 0.0590 (0.0603) loss_rec_sfr: 0.0706 (0.0856) loss_cl: -0.3675 (-0.3673) time: 0.8648 data: 0.0003 max mem: 29859 [16:43:41.883687] Epoch: [182] [480/850] eta: 0:05:21 lr: 0.002198 loss: 0.0218 (0.0241) loss_rec_all: 0.0579 (0.0602) loss_rec_sfr: 0.0633 (0.0853) loss_cl: -0.3666 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [16:43:59.107599] Epoch: [182] [500/850] eta: 0:05:04 lr: 0.002198 loss: 0.0227 (0.0240) loss_rec_all: 0.0590 (0.0602) loss_rec_sfr: 0.0663 (0.0850) loss_cl: -0.3671 (-0.3672) time: 0.8611 data: 0.0002 max mem: 29859 [16:44:16.372729] Epoch: [182] [520/850] eta: 0:04:46 lr: 0.002197 loss: 0.0221 (0.0240) loss_rec_all: 0.0584 (0.0601) loss_rec_sfr: 0.0703 (0.0849) loss_cl: -0.3677 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [16:44:33.601140] Epoch: [182] [540/850] eta: 0:04:29 lr: 0.002197 loss: 0.0233 (0.0240) loss_rec_all: 0.0591 (0.0601) loss_rec_sfr: 0.0738 (0.0849) loss_cl: -0.3671 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [16:44:50.840772] Epoch: [182] [560/850] eta: 0:04:11 lr: 0.002197 loss: 0.0230 (0.0239) loss_rec_all: 0.0590 (0.0601) loss_rec_sfr: 0.0695 (0.0850) loss_cl: -0.3669 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [16:45:08.051883] Epoch: [182] [580/850] eta: 0:03:54 lr: 0.002197 loss: 0.0237 (0.0240) loss_rec_all: 0.0596 (0.0601) loss_rec_sfr: 0.0662 (0.0849) loss_cl: -0.3671 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [16:45:25.380806] Epoch: [182] [600/850] eta: 0:03:37 lr: 0.002197 loss: 0.0232 (0.0239) loss_rec_all: 0.0594 (0.0601) loss_rec_sfr: 0.0699 (0.0850) loss_cl: -0.3670 (-0.3672) time: 0.8664 data: 0.0003 max mem: 29859 [16:45:42.581933] Epoch: [182] [620/850] eta: 0:03:19 lr: 0.002197 loss: 0.0233 (0.0239) loss_rec_all: 0.0596 (0.0601) loss_rec_sfr: 0.0924 (0.0854) loss_cl: -0.3673 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [16:45:59.845754] Epoch: [182] [640/850] eta: 0:03:02 lr: 0.002197 loss: 0.0238 (0.0240) loss_rec_all: 0.0600 (0.0601) loss_rec_sfr: 0.0897 (0.0857) loss_cl: -0.3680 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [16:46:17.087140] Epoch: [182] [660/850] eta: 0:02:44 lr: 0.002197 loss: 0.0232 (0.0239) loss_rec_all: 0.0593 (0.0601) loss_rec_sfr: 0.0710 (0.0856) loss_cl: -0.3680 (-0.3673) time: 0.8620 data: 0.0003 max mem: 29859 [16:46:34.344862] Epoch: [182] [680/850] eta: 0:02:27 lr: 0.002197 loss: 0.0235 (0.0240) loss_rec_all: 0.0598 (0.0601) loss_rec_sfr: 0.0891 (0.0855) loss_cl: -0.3678 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [16:46:51.547923] Epoch: [182] [700/850] eta: 0:02:10 lr: 0.002197 loss: 0.0240 (0.0240) loss_rec_all: 0.0602 (0.0601) loss_rec_sfr: 0.0651 (0.0853) loss_cl: -0.3674 (-0.3673) time: 0.8601 data: 0.0002 max mem: 29859 [16:47:08.892519] Epoch: [182] [720/850] eta: 0:01:52 lr: 0.002197 loss: 0.0241 (0.0240) loss_rec_all: 0.0600 (0.0601) loss_rec_sfr: 0.0700 (0.0851) loss_cl: -0.3664 (-0.3673) time: 0.8672 data: 0.0003 max mem: 29859 [16:47:26.119608] Epoch: [182] [740/850] eta: 0:01:35 lr: 0.002197 loss: 0.0238 (0.0240) loss_rec_all: 0.0596 (0.0601) loss_rec_sfr: 0.0674 (0.0850) loss_cl: -0.3666 (-0.3672) time: 0.8613 data: 0.0002 max mem: 29859 [16:47:43.375700] Epoch: [182] [760/850] eta: 0:01:18 lr: 0.002197 loss: 0.0231 (0.0240) loss_rec_all: 0.0592 (0.0602) loss_rec_sfr: 0.0676 (0.0849) loss_cl: -0.3667 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [16:48:00.593690] Epoch: [182] [780/850] eta: 0:01:00 lr: 0.002197 loss: 0.0241 (0.0240) loss_rec_all: 0.0599 (0.0602) loss_rec_sfr: 0.0929 (0.0852) loss_cl: -0.3671 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [16:48:17.874729] Epoch: [182] [800/850] eta: 0:00:43 lr: 0.002197 loss: 0.0231 (0.0240) loss_rec_all: 0.0594 (0.0602) loss_rec_sfr: 0.0736 (0.0851) loss_cl: -0.3674 (-0.3672) time: 0.8640 data: 0.0002 max mem: 29859 [16:48:35.092621] Epoch: [182] [820/850] eta: 0:00:26 lr: 0.002196 loss: 0.0223 (0.0240) loss_rec_all: 0.0587 (0.0601) loss_rec_sfr: 0.0691 (0.0851) loss_cl: -0.3677 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [16:48:52.337138] Epoch: [182] [840/850] eta: 0:00:08 lr: 0.002196 loss: 0.0223 (0.0240) loss_rec_all: 0.0586 (0.0601) loss_rec_sfr: 0.0862 (0.0851) loss_cl: -0.3675 (-0.3672) time: 0.8622 data: 0.0004 max mem: 29859 [16:49:00.134841] Epoch: [182] [849/850] eta: 0:00:00 lr: 0.002196 loss: 0.0223 (0.0240) loss_rec_all: 0.0586 (0.0601) loss_rec_sfr: 0.0890 (0.0851) loss_cl: -0.3667 (-0.3672) time: 0.8649 data: 0.0005 max mem: 29859 [16:49:00.297080] Epoch: [182] Total time: 0:12:16 (0.8670 s / it) [16:49:00.302635] Averaged stats: lr: 0.002196 loss: 0.0223 (0.0241) loss_rec_all: 0.0586 (0.0602) loss_rec_sfr: 0.0890 (0.0855) loss_cl: -0.3667 (-0.3673) [16:49:00.320748] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [16:49:05.056019] Epoch: [183] [ 0/850] eta: 1:07:03 lr: 0.002196 loss: 0.0217 (0.0217) loss_rec_all: 0.0579 (0.0579) loss_rec_sfr: 0.0572 (0.0572) loss_cl: -0.3664 (-0.3664) time: 4.7341 data: 3.3592 max mem: 29859 [16:49:22.220417] Epoch: [183] [ 20/850] eta: 0:14:25 lr: 0.002196 loss: 0.0222 (0.0225) loss_rec_all: 0.0581 (0.0585) loss_rec_sfr: 0.0901 (0.0855) loss_cl: -0.3666 (-0.3666) time: 0.8582 data: 0.0002 max mem: 29859 [16:49:39.464312] Epoch: [183] [ 40/850] eta: 0:12:53 lr: 0.002196 loss: 0.0228 (0.0229) loss_rec_all: 0.0590 (0.0589) loss_rec_sfr: 0.0889 (0.0866) loss_cl: -0.3669 (-0.3667) time: 0.8621 data: 0.0002 max mem: 29859 [16:49:56.678177] Epoch: [183] [ 60/850] eta: 0:12:09 lr: 0.002196 loss: 0.0231 (0.0232) loss_rec_all: 0.0593 (0.0593) loss_rec_sfr: 0.0895 (0.0881) loss_cl: -0.3676 (-0.3670) time: 0.8606 data: 0.0002 max mem: 29859 [16:50:13.955350] Epoch: [183] [ 80/850] eta: 0:11:39 lr: 0.002196 loss: 0.0282 (0.0246) loss_rec_all: 0.0645 (0.0607) loss_rec_sfr: 0.1071 (0.0918) loss_cl: -0.3678 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [16:50:31.172658] Epoch: [183] [100/850] eta: 0:11:14 lr: 0.002196 loss: 0.0303 (0.0259) loss_rec_all: 0.0665 (0.0620) loss_rec_sfr: 0.0803 (0.0913) loss_cl: -0.3678 (-0.3673) time: 0.8608 data: 0.0002 max mem: 29859 [16:50:48.414768] Epoch: [183] [120/850] eta: 0:10:52 lr: 0.002196 loss: 0.0279 (0.0264) loss_rec_all: 0.0640 (0.0625) loss_rec_sfr: 0.0981 (0.0917) loss_cl: -0.3676 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [16:51:05.736291] Epoch: [183] [140/850] eta: 0:10:31 lr: 0.002196 loss: 0.0262 (0.0263) loss_rec_all: 0.0621 (0.0624) loss_rec_sfr: 0.0714 (0.0908) loss_cl: -0.3679 (-0.3674) time: 0.8660 data: 0.0002 max mem: 29859 [16:51:22.973304] Epoch: [183] [160/850] eta: 0:10:11 lr: 0.002196 loss: 0.0252 (0.0262) loss_rec_all: 0.0613 (0.0623) loss_rec_sfr: 0.0671 (0.0899) loss_cl: -0.3677 (-0.3675) time: 0.8618 data: 0.0002 max mem: 29859 [16:51:40.193171] Epoch: [183] [180/850] eta: 0:09:51 lr: 0.002196 loss: 0.0264 (0.0263) loss_rec_all: 0.0622 (0.0624) loss_rec_sfr: 0.1044 (0.0910) loss_cl: -0.3676 (-0.3675) time: 0.8609 data: 0.0002 max mem: 29859 [16:51:57.478892] Epoch: [183] [200/850] eta: 0:09:32 lr: 0.002196 loss: 0.0228 (0.0260) loss_rec_all: 0.0591 (0.0621) loss_rec_sfr: 0.0658 (0.0896) loss_cl: -0.3677 (-0.3675) time: 0.8642 data: 0.0002 max mem: 29859 [16:52:14.701852] Epoch: [183] [220/850] eta: 0:09:14 lr: 0.002196 loss: 0.0226 (0.0258) loss_rec_all: 0.0586 (0.0619) loss_rec_sfr: 0.0618 (0.0885) loss_cl: -0.3667 (-0.3674) time: 0.8611 data: 0.0002 max mem: 29859 [16:52:31.946662] Epoch: [183] [240/850] eta: 0:08:55 lr: 0.002196 loss: 0.0242 (0.0257) loss_rec_all: 0.0601 (0.0619) loss_rec_sfr: 0.0955 (0.0895) loss_cl: -0.3668 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [16:52:49.174666] Epoch: [183] [260/850] eta: 0:08:37 lr: 0.002196 loss: 0.0226 (0.0256) loss_rec_all: 0.0589 (0.0617) loss_rec_sfr: 0.0627 (0.0883) loss_cl: -0.3670 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [16:53:06.478308] Epoch: [183] [280/850] eta: 0:08:19 lr: 0.002195 loss: 0.0229 (0.0255) loss_rec_all: 0.0591 (0.0616) loss_rec_sfr: 0.0891 (0.0882) loss_cl: -0.3672 (-0.3673) time: 0.8651 data: 0.0002 max mem: 29859 [16:53:23.680824] Epoch: [183] [300/850] eta: 0:08:01 lr: 0.002195 loss: 0.0215 (0.0253) loss_rec_all: 0.0579 (0.0614) loss_rec_sfr: 0.0587 (0.0876) loss_cl: -0.3673 (-0.3673) time: 0.8600 data: 0.0002 max mem: 29859 [16:53:40.960781] Epoch: [183] [320/850] eta: 0:07:43 lr: 0.002195 loss: 0.0233 (0.0252) loss_rec_all: 0.0593 (0.0613) loss_rec_sfr: 0.1000 (0.0881) loss_cl: -0.3668 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [16:53:58.197578] Epoch: [183] [340/850] eta: 0:07:25 lr: 0.002195 loss: 0.0235 (0.0251) loss_rec_all: 0.0597 (0.0612) loss_rec_sfr: 0.0905 (0.0886) loss_cl: -0.3670 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [16:54:15.469048] Epoch: [183] [360/850] eta: 0:07:07 lr: 0.002195 loss: 0.0214 (0.0250) loss_rec_all: 0.0576 (0.0611) loss_rec_sfr: 0.0660 (0.0882) loss_cl: -0.3667 (-0.3672) time: 0.8635 data: 0.0002 max mem: 29859 [16:54:32.676814] Epoch: [183] [380/850] eta: 0:06:49 lr: 0.002195 loss: 0.0227 (0.0249) loss_rec_all: 0.0589 (0.0610) loss_rec_sfr: 0.0644 (0.0878) loss_cl: -0.3669 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [16:54:50.026783] Epoch: [183] [400/850] eta: 0:06:32 lr: 0.002195 loss: 0.0225 (0.0248) loss_rec_all: 0.0583 (0.0609) loss_rec_sfr: 0.0901 (0.0880) loss_cl: -0.3675 (-0.3672) time: 0.8674 data: 0.0003 max mem: 29859 [16:55:07.234161] Epoch: [183] [420/850] eta: 0:06:14 lr: 0.002195 loss: 0.0223 (0.0247) loss_rec_all: 0.0587 (0.0608) loss_rec_sfr: 0.0715 (0.0878) loss_cl: -0.3682 (-0.3673) time: 0.8603 data: 0.0002 max mem: 29859 [16:55:24.483657] Epoch: [183] [440/850] eta: 0:05:57 lr: 0.002195 loss: 0.0221 (0.0247) loss_rec_all: 0.0584 (0.0608) loss_rec_sfr: 0.0671 (0.0874) loss_cl: -0.3679 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [16:55:41.734080] Epoch: [183] [460/850] eta: 0:05:39 lr: 0.002195 loss: 0.0232 (0.0246) loss_rec_all: 0.0592 (0.0607) loss_rec_sfr: 0.0848 (0.0873) loss_cl: -0.3676 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [16:55:59.004673] Epoch: [183] [480/850] eta: 0:05:22 lr: 0.002195 loss: 0.0227 (0.0246) loss_rec_all: 0.0589 (0.0607) loss_rec_sfr: 0.0860 (0.0873) loss_cl: -0.3673 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [16:56:16.232630] Epoch: [183] [500/850] eta: 0:05:04 lr: 0.002195 loss: 0.0221 (0.0245) loss_rec_all: 0.0585 (0.0606) loss_rec_sfr: 0.0665 (0.0870) loss_cl: -0.3673 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [16:56:33.485811] Epoch: [183] [520/850] eta: 0:04:47 lr: 0.002195 loss: 0.0214 (0.0244) loss_rec_all: 0.0577 (0.0606) loss_rec_sfr: 0.0596 (0.0867) loss_cl: -0.3671 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [16:56:50.754509] Epoch: [183] [540/850] eta: 0:04:29 lr: 0.002195 loss: 0.0221 (0.0244) loss_rec_all: 0.0581 (0.0605) loss_rec_sfr: 0.0651 (0.0867) loss_cl: -0.3669 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [16:57:07.998420] Epoch: [183] [560/850] eta: 0:04:12 lr: 0.002195 loss: 0.0222 (0.0243) loss_rec_all: 0.0586 (0.0604) loss_rec_sfr: 0.0688 (0.0866) loss_cl: -0.3676 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [16:57:25.222849] Epoch: [183] [580/850] eta: 0:03:54 lr: 0.002195 loss: 0.0245 (0.0243) loss_rec_all: 0.0602 (0.0605) loss_rec_sfr: 0.0928 (0.0869) loss_cl: -0.3676 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [16:57:42.508893] Epoch: [183] [600/850] eta: 0:03:37 lr: 0.002194 loss: 0.0225 (0.0243) loss_rec_all: 0.0585 (0.0604) loss_rec_sfr: 0.0684 (0.0866) loss_cl: -0.3668 (-0.3673) time: 0.8643 data: 0.0003 max mem: 29859 [16:57:59.717171] Epoch: [183] [620/850] eta: 0:03:19 lr: 0.002194 loss: 0.0238 (0.0243) loss_rec_all: 0.0599 (0.0604) loss_rec_sfr: 0.0775 (0.0865) loss_cl: -0.3665 (-0.3673) time: 0.8603 data: 0.0002 max mem: 29859 [16:58:16.985956] Epoch: [183] [640/850] eta: 0:03:02 lr: 0.002194 loss: 0.0239 (0.0243) loss_rec_all: 0.0599 (0.0604) loss_rec_sfr: 0.0873 (0.0867) loss_cl: -0.3666 (-0.3672) time: 0.8634 data: 0.0002 max mem: 29859 [16:58:34.209594] Epoch: [183] [660/850] eta: 0:02:44 lr: 0.002194 loss: 0.0237 (0.0243) loss_rec_all: 0.0596 (0.0604) loss_rec_sfr: 0.0905 (0.0869) loss_cl: -0.3675 (-0.3672) time: 0.8611 data: 0.0002 max mem: 29859 [16:58:51.511960] Epoch: [183] [680/850] eta: 0:02:27 lr: 0.002194 loss: 0.0228 (0.0244) loss_rec_all: 0.0592 (0.0605) loss_rec_sfr: 0.0709 (0.0866) loss_cl: -0.3676 (-0.3672) time: 0.8651 data: 0.0002 max mem: 29859 [16:59:08.712379] Epoch: [183] [700/850] eta: 0:02:10 lr: 0.002194 loss: 0.0221 (0.0243) loss_rec_all: 0.0583 (0.0604) loss_rec_sfr: 0.0699 (0.0864) loss_cl: -0.3671 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [16:59:25.970428] Epoch: [183] [720/850] eta: 0:01:52 lr: 0.002194 loss: 0.0228 (0.0243) loss_rec_all: 0.0591 (0.0604) loss_rec_sfr: 0.0859 (0.0864) loss_cl: -0.3672 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [16:59:43.241642] Epoch: [183] [740/850] eta: 0:01:35 lr: 0.002194 loss: 0.0235 (0.0243) loss_rec_all: 0.0597 (0.0604) loss_rec_sfr: 0.0847 (0.0865) loss_cl: -0.3671 (-0.3672) time: 0.8635 data: 0.0002 max mem: 29859 [17:00:00.498427] Epoch: [183] [760/850] eta: 0:01:18 lr: 0.002194 loss: 0.0217 (0.0242) loss_rec_all: 0.0582 (0.0604) loss_rec_sfr: 0.0711 (0.0864) loss_cl: -0.3677 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [17:00:17.709240] Epoch: [183] [780/850] eta: 0:01:00 lr: 0.002194 loss: 0.0219 (0.0242) loss_rec_all: 0.0582 (0.0603) loss_rec_sfr: 0.0619 (0.0860) loss_cl: -0.3673 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [17:00:35.041600] Epoch: [183] [800/850] eta: 0:00:43 lr: 0.002194 loss: 0.0221 (0.0242) loss_rec_all: 0.0584 (0.0603) loss_rec_sfr: 0.0624 (0.0857) loss_cl: -0.3674 (-0.3672) time: 0.8666 data: 0.0003 max mem: 29859 [17:00:52.243715] Epoch: [183] [820/850] eta: 0:00:26 lr: 0.002194 loss: 0.0225 (0.0241) loss_rec_all: 0.0584 (0.0603) loss_rec_sfr: 0.0697 (0.0857) loss_cl: -0.3671 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [17:01:09.496620] Epoch: [183] [840/850] eta: 0:00:08 lr: 0.002194 loss: 0.0220 (0.0241) loss_rec_all: 0.0583 (0.0602) loss_rec_sfr: 0.0655 (0.0856) loss_cl: -0.3668 (-0.3672) time: 0.8626 data: 0.0004 max mem: 29859 [17:01:17.235783] Epoch: [183] [849/850] eta: 0:00:00 lr: 0.002194 loss: 0.0220 (0.0241) loss_rec_all: 0.0583 (0.0602) loss_rec_sfr: 0.0663 (0.0855) loss_cl: -0.3668 (-0.3672) time: 0.8622 data: 0.0004 max mem: 29859 [17:01:17.400527] Epoch: [183] Total time: 0:12:17 (0.8672 s / it) [17:01:17.403628] Averaged stats: lr: 0.002194 loss: 0.0220 (0.0240) loss_rec_all: 0.0583 (0.0602) loss_rec_sfr: 0.0663 (0.0855) loss_cl: -0.3668 (-0.3673) [17:01:17.418760] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [17:01:21.867445] Epoch: [184] [ 0/850] eta: 1:03:00 lr: 0.002194 loss: 0.0175 (0.0175) loss_rec_all: 0.0538 (0.0538) loss_rec_sfr: 0.0497 (0.0497) loss_cl: -0.3672 (-0.3672) time: 4.4475 data: 3.5912 max mem: 29859 [17:01:39.072220] Epoch: [184] [ 20/850] eta: 0:14:15 lr: 0.002194 loss: 0.0209 (0.0218) loss_rec_all: 0.0569 (0.0580) loss_rec_sfr: 0.0646 (0.0775) loss_cl: -0.3673 (-0.3673) time: 0.8602 data: 0.0002 max mem: 29859 [17:01:56.297768] Epoch: [184] [ 40/850] eta: 0:12:48 lr: 0.002193 loss: 0.0212 (0.0218) loss_rec_all: 0.0575 (0.0580) loss_rec_sfr: 0.0673 (0.0808) loss_cl: -0.3681 (-0.3677) time: 0.8612 data: 0.0002 max mem: 29859 [17:02:13.510915] Epoch: [184] [ 60/850] eta: 0:12:06 lr: 0.002193 loss: 0.0241 (0.0226) loss_rec_all: 0.0602 (0.0589) loss_rec_sfr: 0.0683 (0.0805) loss_cl: -0.3684 (-0.3679) time: 0.8606 data: 0.0002 max mem: 29859 [17:02:30.816040] Epoch: [184] [ 80/850] eta: 0:11:37 lr: 0.002193 loss: 0.0256 (0.0233) loss_rec_all: 0.0618 (0.0595) loss_rec_sfr: 0.0746 (0.0821) loss_cl: -0.3681 (-0.3679) time: 0.8652 data: 0.0002 max mem: 29859 [17:02:48.035097] Epoch: [184] [100/850] eta: 0:11:12 lr: 0.002193 loss: 0.0245 (0.0236) loss_rec_all: 0.0608 (0.0598) loss_rec_sfr: 0.0716 (0.0819) loss_cl: -0.3675 (-0.3678) time: 0.8609 data: 0.0002 max mem: 29859 [17:03:05.274699] Epoch: [184] [120/850] eta: 0:10:50 lr: 0.002193 loss: 0.0254 (0.0240) loss_rec_all: 0.0613 (0.0602) loss_rec_sfr: 0.0975 (0.0838) loss_cl: -0.3671 (-0.3676) time: 0.8619 data: 0.0002 max mem: 29859 [17:03:22.513658] Epoch: [184] [140/850] eta: 0:10:29 lr: 0.002193 loss: 0.0236 (0.0242) loss_rec_all: 0.0598 (0.0603) loss_rec_sfr: 0.0880 (0.0844) loss_cl: -0.3672 (-0.3676) time: 0.8619 data: 0.0003 max mem: 29859 [17:03:39.768259] Epoch: [184] [160/850] eta: 0:10:10 lr: 0.002193 loss: 0.0246 (0.0243) loss_rec_all: 0.0603 (0.0605) loss_rec_sfr: 0.0943 (0.0857) loss_cl: -0.3676 (-0.3676) time: 0.8627 data: 0.0002 max mem: 29859 [17:03:56.994760] Epoch: [184] [180/850] eta: 0:09:50 lr: 0.002193 loss: 0.0226 (0.0242) loss_rec_all: 0.0589 (0.0603) loss_rec_sfr: 0.0637 (0.0855) loss_cl: -0.3674 (-0.3675) time: 0.8613 data: 0.0002 max mem: 29859 [17:04:14.245096] Epoch: [184] [200/850] eta: 0:09:31 lr: 0.002193 loss: 0.0223 (0.0241) loss_rec_all: 0.0584 (0.0602) loss_rec_sfr: 0.0882 (0.0858) loss_cl: -0.3674 (-0.3675) time: 0.8625 data: 0.0002 max mem: 29859 [17:04:31.506941] Epoch: [184] [220/850] eta: 0:09:13 lr: 0.002193 loss: 0.0223 (0.0240) loss_rec_all: 0.0586 (0.0601) loss_rec_sfr: 0.0675 (0.0852) loss_cl: -0.3675 (-0.3675) time: 0.8630 data: 0.0003 max mem: 29859 [17:04:48.752318] Epoch: [184] [240/850] eta: 0:08:54 lr: 0.002193 loss: 0.0217 (0.0239) loss_rec_all: 0.0580 (0.0600) loss_rec_sfr: 0.0635 (0.0845) loss_cl: -0.3674 (-0.3675) time: 0.8622 data: 0.0002 max mem: 29859 [17:05:05.968749] Epoch: [184] [260/850] eta: 0:08:36 lr: 0.002193 loss: 0.0223 (0.0238) loss_rec_all: 0.0585 (0.0600) loss_rec_sfr: 0.0856 (0.0846) loss_cl: -0.3673 (-0.3675) time: 0.8608 data: 0.0002 max mem: 29859 [17:05:23.257491] Epoch: [184] [280/850] eta: 0:08:18 lr: 0.002193 loss: 0.0215 (0.0238) loss_rec_all: 0.0578 (0.0599) loss_rec_sfr: 0.0648 (0.0841) loss_cl: -0.3675 (-0.3675) time: 0.8644 data: 0.0003 max mem: 29859 [17:05:40.464582] Epoch: [184] [300/850] eta: 0:08:00 lr: 0.002193 loss: 0.0227 (0.0237) loss_rec_all: 0.0587 (0.0599) loss_rec_sfr: 0.0937 (0.0845) loss_cl: -0.3669 (-0.3675) time: 0.8603 data: 0.0002 max mem: 29859 [17:05:57.759159] Epoch: [184] [320/850] eta: 0:07:42 lr: 0.002193 loss: 0.0225 (0.0237) loss_rec_all: 0.0586 (0.0598) loss_rec_sfr: 0.0711 (0.0848) loss_cl: -0.3665 (-0.3674) time: 0.8647 data: 0.0002 max mem: 29859 [17:06:14.986992] Epoch: [184] [340/850] eta: 0:07:25 lr: 0.002193 loss: 0.0251 (0.0238) loss_rec_all: 0.0612 (0.0599) loss_rec_sfr: 0.0889 (0.0860) loss_cl: -0.3669 (-0.3674) time: 0.8613 data: 0.0003 max mem: 29859 [17:06:32.291784] Epoch: [184] [360/850] eta: 0:07:07 lr: 0.002192 loss: 0.0231 (0.0238) loss_rec_all: 0.0593 (0.0599) loss_rec_sfr: 0.0864 (0.0866) loss_cl: -0.3675 (-0.3674) time: 0.8652 data: 0.0002 max mem: 29859 [17:06:49.492523] Epoch: [184] [380/850] eta: 0:06:49 lr: 0.002192 loss: 0.0237 (0.0239) loss_rec_all: 0.0601 (0.0600) loss_rec_sfr: 0.0755 (0.0866) loss_cl: -0.3679 (-0.3674) time: 0.8600 data: 0.0002 max mem: 29859 [17:07:06.760683] Epoch: [184] [400/850] eta: 0:06:32 lr: 0.002192 loss: 0.0248 (0.0239) loss_rec_all: 0.0606 (0.0600) loss_rec_sfr: 0.0928 (0.0871) loss_cl: -0.3679 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [17:07:23.987435] Epoch: [184] [420/850] eta: 0:06:14 lr: 0.002192 loss: 0.0240 (0.0239) loss_rec_all: 0.0598 (0.0601) loss_rec_sfr: 0.0846 (0.0872) loss_cl: -0.3675 (-0.3674) time: 0.8613 data: 0.0002 max mem: 29859 [17:07:41.237213] Epoch: [184] [440/850] eta: 0:05:56 lr: 0.002192 loss: 0.0235 (0.0239) loss_rec_all: 0.0594 (0.0601) loss_rec_sfr: 0.0875 (0.0873) loss_cl: -0.3670 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [17:07:58.434258] Epoch: [184] [460/850] eta: 0:05:39 lr: 0.002192 loss: 0.0222 (0.0239) loss_rec_all: 0.0582 (0.0600) loss_rec_sfr: 0.0699 (0.0871) loss_cl: -0.3668 (-0.3674) time: 0.8598 data: 0.0002 max mem: 29859 [17:08:15.778063] Epoch: [184] [480/850] eta: 0:05:21 lr: 0.002192 loss: 0.0233 (0.0239) loss_rec_all: 0.0592 (0.0600) loss_rec_sfr: 0.0876 (0.0871) loss_cl: -0.3666 (-0.3673) time: 0.8672 data: 0.0002 max mem: 29859 [17:08:32.976359] Epoch: [184] [500/850] eta: 0:05:04 lr: 0.002192 loss: 0.0224 (0.0238) loss_rec_all: 0.0582 (0.0600) loss_rec_sfr: 0.0623 (0.0871) loss_cl: -0.3678 (-0.3674) time: 0.8599 data: 0.0002 max mem: 29859 [17:08:50.216961] Epoch: [184] [520/850] eta: 0:04:46 lr: 0.002192 loss: 0.0226 (0.0238) loss_rec_all: 0.0589 (0.0599) loss_rec_sfr: 0.0687 (0.0871) loss_cl: -0.3678 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [17:09:07.433759] Epoch: [184] [540/850] eta: 0:04:29 lr: 0.002192 loss: 0.0231 (0.0238) loss_rec_all: 0.0590 (0.0600) loss_rec_sfr: 0.0746 (0.0870) loss_cl: -0.3679 (-0.3674) time: 0.8608 data: 0.0002 max mem: 29859 [17:09:24.708389] Epoch: [184] [560/850] eta: 0:04:11 lr: 0.002192 loss: 0.0230 (0.0239) loss_rec_all: 0.0590 (0.0600) loss_rec_sfr: 0.0976 (0.0872) loss_cl: -0.3672 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [17:09:41.898603] Epoch: [184] [580/850] eta: 0:03:54 lr: 0.002192 loss: 0.0234 (0.0238) loss_rec_all: 0.0597 (0.0600) loss_rec_sfr: 0.0621 (0.0869) loss_cl: -0.3671 (-0.3674) time: 0.8595 data: 0.0001 max mem: 29859 [17:09:59.153608] Epoch: [184] [600/850] eta: 0:03:37 lr: 0.002192 loss: 0.0240 (0.0239) loss_rec_all: 0.0603 (0.0600) loss_rec_sfr: 0.0864 (0.0869) loss_cl: -0.3670 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [17:10:16.399407] Epoch: [184] [620/850] eta: 0:03:19 lr: 0.002192 loss: 0.0217 (0.0238) loss_rec_all: 0.0576 (0.0600) loss_rec_sfr: 0.0706 (0.0867) loss_cl: -0.3668 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [17:10:33.645223] Epoch: [184] [640/850] eta: 0:03:02 lr: 0.002192 loss: 0.0227 (0.0238) loss_rec_all: 0.0589 (0.0599) loss_rec_sfr: 0.0837 (0.0867) loss_cl: -0.3670 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [17:10:50.855805] Epoch: [184] [660/850] eta: 0:02:44 lr: 0.002191 loss: 0.0227 (0.0238) loss_rec_all: 0.0591 (0.0599) loss_rec_sfr: 0.0590 (0.0865) loss_cl: -0.3674 (-0.3673) time: 0.8605 data: 0.0002 max mem: 29859 [17:11:08.169262] Epoch: [184] [680/850] eta: 0:02:27 lr: 0.002191 loss: 0.0217 (0.0237) loss_rec_all: 0.0581 (0.0599) loss_rec_sfr: 0.0620 (0.0862) loss_cl: -0.3679 (-0.3673) time: 0.8656 data: 0.0002 max mem: 29859 [17:11:25.389944] Epoch: [184] [700/850] eta: 0:02:10 lr: 0.002191 loss: 0.0236 (0.0238) loss_rec_all: 0.0596 (0.0599) loss_rec_sfr: 0.1091 (0.0867) loss_cl: -0.3675 (-0.3673) time: 0.8610 data: 0.0002 max mem: 29859 [17:11:42.632052] Epoch: [184] [720/850] eta: 0:01:52 lr: 0.002191 loss: 0.0258 (0.0238) loss_rec_all: 0.0616 (0.0600) loss_rec_sfr: 0.0977 (0.0870) loss_cl: -0.3675 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [17:11:59.874490] Epoch: [184] [740/850] eta: 0:01:35 lr: 0.002191 loss: 0.0239 (0.0239) loss_rec_all: 0.0603 (0.0600) loss_rec_sfr: 0.0695 (0.0870) loss_cl: -0.3678 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [17:12:17.138843] Epoch: [184] [760/850] eta: 0:01:18 lr: 0.002191 loss: 0.0244 (0.0239) loss_rec_all: 0.0605 (0.0600) loss_rec_sfr: 0.0765 (0.0868) loss_cl: -0.3678 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [17:12:34.346071] Epoch: [184] [780/850] eta: 0:01:00 lr: 0.002191 loss: 0.0240 (0.0240) loss_rec_all: 0.0600 (0.0601) loss_rec_sfr: 0.0734 (0.0868) loss_cl: -0.3679 (-0.3674) time: 0.8603 data: 0.0002 max mem: 29859 [17:12:51.595751] Epoch: [184] [800/850] eta: 0:00:43 lr: 0.002191 loss: 0.0231 (0.0240) loss_rec_all: 0.0595 (0.0601) loss_rec_sfr: 0.0860 (0.0869) loss_cl: -0.3674 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [17:13:08.843873] Epoch: [184] [820/850] eta: 0:00:25 lr: 0.002191 loss: 0.0229 (0.0240) loss_rec_all: 0.0590 (0.0601) loss_rec_sfr: 0.0695 (0.0867) loss_cl: -0.3667 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [17:13:26.083394] Epoch: [184] [840/850] eta: 0:00:08 lr: 0.002191 loss: 0.0237 (0.0240) loss_rec_all: 0.0598 (0.0601) loss_rec_sfr: 0.0953 (0.0869) loss_cl: -0.3667 (-0.3674) time: 0.8619 data: 0.0005 max mem: 29859 [17:13:33.820052] Epoch: [184] [849/850] eta: 0:00:00 lr: 0.002191 loss: 0.0221 (0.0240) loss_rec_all: 0.0581 (0.0601) loss_rec_sfr: 0.0893 (0.0869) loss_cl: -0.3665 (-0.3673) time: 0.8616 data: 0.0004 max mem: 29859 [17:13:33.951249] Epoch: [184] Total time: 0:12:16 (0.8665 s / it) [17:13:33.953761] Averaged stats: lr: 0.002191 loss: 0.0221 (0.0241) loss_rec_all: 0.0581 (0.0602) loss_rec_sfr: 0.0893 (0.0867) loss_cl: -0.3665 (-0.3672) [17:13:33.965536] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [17:13:38.264015] Epoch: [185] [ 0/850] eta: 1:00:52 lr: 0.002191 loss: 0.0244 (0.0244) loss_rec_all: 0.0603 (0.0603) loss_rec_sfr: 0.1131 (0.1131) loss_cl: -0.3669 (-0.3669) time: 4.2970 data: 3.4390 max mem: 29859 [17:13:55.453550] Epoch: [185] [ 20/850] eta: 0:14:09 lr: 0.002191 loss: 0.0215 (0.0225) loss_rec_all: 0.0575 (0.0587) loss_rec_sfr: 0.0590 (0.0794) loss_cl: -0.3663 (-0.3666) time: 0.8594 data: 0.0002 max mem: 29859 [17:14:12.716514] Epoch: [185] [ 40/850] eta: 0:12:45 lr: 0.002191 loss: 0.0227 (0.0229) loss_rec_all: 0.0590 (0.0590) loss_rec_sfr: 0.0884 (0.0854) loss_cl: -0.3670 (-0.3668) time: 0.8631 data: 0.0002 max mem: 29859 [17:14:29.923209] Epoch: [185] [ 60/850] eta: 0:12:04 lr: 0.002191 loss: 0.0222 (0.0229) loss_rec_all: 0.0585 (0.0590) loss_rec_sfr: 0.0634 (0.0834) loss_cl: -0.3674 (-0.3670) time: 0.8603 data: 0.0002 max mem: 29859 [17:14:47.176794] Epoch: [185] [ 80/850] eta: 0:11:35 lr: 0.002191 loss: 0.0222 (0.0228) loss_rec_all: 0.0584 (0.0589) loss_rec_sfr: 0.0801 (0.0839) loss_cl: -0.3678 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [17:15:04.470736] Epoch: [185] [100/850] eta: 0:11:12 lr: 0.002191 loss: 0.0240 (0.0231) loss_rec_all: 0.0600 (0.0592) loss_rec_sfr: 0.0888 (0.0856) loss_cl: -0.3667 (-0.3671) time: 0.8646 data: 0.0002 max mem: 29859 [17:15:21.705073] Epoch: [185] [120/850] eta: 0:10:49 lr: 0.002190 loss: 0.0220 (0.0230) loss_rec_all: 0.0580 (0.0591) loss_rec_sfr: 0.0744 (0.0852) loss_cl: -0.3669 (-0.3671) time: 0.8617 data: 0.0002 max mem: 29859 [17:15:38.931861] Epoch: [185] [140/850] eta: 0:10:29 lr: 0.002190 loss: 0.0219 (0.0230) loss_rec_all: 0.0579 (0.0591) loss_rec_sfr: 0.0714 (0.0844) loss_cl: -0.3668 (-0.3670) time: 0.8613 data: 0.0002 max mem: 29859 [17:15:56.209595] Epoch: [185] [160/850] eta: 0:10:09 lr: 0.002190 loss: 0.0214 (0.0229) loss_rec_all: 0.0574 (0.0590) loss_rec_sfr: 0.0861 (0.0844) loss_cl: -0.3672 (-0.3670) time: 0.8638 data: 0.0002 max mem: 29859 [17:16:13.426371] Epoch: [185] [180/850] eta: 0:09:50 lr: 0.002190 loss: 0.0230 (0.0229) loss_rec_all: 0.0592 (0.0590) loss_rec_sfr: 0.0833 (0.0848) loss_cl: -0.3674 (-0.3671) time: 0.8608 data: 0.0002 max mem: 29859 [17:16:30.672319] Epoch: [185] [200/850] eta: 0:09:31 lr: 0.002190 loss: 0.0235 (0.0229) loss_rec_all: 0.0593 (0.0590) loss_rec_sfr: 0.0883 (0.0853) loss_cl: -0.3675 (-0.3671) time: 0.8622 data: 0.0002 max mem: 29859 [17:16:47.912279] Epoch: [185] [220/850] eta: 0:09:12 lr: 0.002190 loss: 0.0219 (0.0228) loss_rec_all: 0.0582 (0.0589) loss_rec_sfr: 0.0643 (0.0846) loss_cl: -0.3677 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [17:17:05.232740] Epoch: [185] [240/850] eta: 0:08:54 lr: 0.002190 loss: 0.0227 (0.0229) loss_rec_all: 0.0588 (0.0591) loss_rec_sfr: 0.0680 (0.0841) loss_cl: -0.3676 (-0.3672) time: 0.8660 data: 0.0003 max mem: 29859 [17:17:22.437856] Epoch: [185] [260/850] eta: 0:08:36 lr: 0.002190 loss: 0.0233 (0.0231) loss_rec_all: 0.0594 (0.0592) loss_rec_sfr: 0.0877 (0.0840) loss_cl: -0.3674 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [17:17:39.712067] Epoch: [185] [280/850] eta: 0:08:18 lr: 0.002190 loss: 0.0244 (0.0232) loss_rec_all: 0.0608 (0.0593) loss_rec_sfr: 0.0976 (0.0846) loss_cl: -0.3675 (-0.3672) time: 0.8637 data: 0.0003 max mem: 29859 [17:17:56.946208] Epoch: [185] [300/850] eta: 0:08:00 lr: 0.002190 loss: 0.0258 (0.0234) loss_rec_all: 0.0616 (0.0595) loss_rec_sfr: 0.0985 (0.0855) loss_cl: -0.3670 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [17:18:14.207068] Epoch: [185] [320/850] eta: 0:07:42 lr: 0.002190 loss: 0.0238 (0.0235) loss_rec_all: 0.0599 (0.0596) loss_rec_sfr: 0.0656 (0.0851) loss_cl: -0.3665 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [17:18:31.421794] Epoch: [185] [340/850] eta: 0:07:24 lr: 0.002190 loss: 0.0235 (0.0236) loss_rec_all: 0.0595 (0.0597) loss_rec_sfr: 0.0893 (0.0850) loss_cl: -0.3666 (-0.3671) time: 0.8607 data: 0.0002 max mem: 29859 [17:18:48.800000] Epoch: [185] [360/850] eta: 0:07:07 lr: 0.002190 loss: 0.0240 (0.0236) loss_rec_all: 0.0600 (0.0597) loss_rec_sfr: 0.0758 (0.0850) loss_cl: -0.3674 (-0.3671) time: 0.8688 data: 0.0003 max mem: 29859 [17:19:06.077430] Epoch: [185] [380/850] eta: 0:06:49 lr: 0.002190 loss: 0.0232 (0.0236) loss_rec_all: 0.0594 (0.0598) loss_rec_sfr: 0.0878 (0.0854) loss_cl: -0.3678 (-0.3672) time: 0.8638 data: 0.0003 max mem: 29859 [17:19:23.344651] Epoch: [185] [400/850] eta: 0:06:32 lr: 0.002190 loss: 0.0223 (0.0236) loss_rec_all: 0.0587 (0.0597) loss_rec_sfr: 0.0622 (0.0852) loss_cl: -0.3679 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [17:19:40.646865] Epoch: [185] [420/850] eta: 0:06:14 lr: 0.002189 loss: 0.0222 (0.0236) loss_rec_all: 0.0585 (0.0597) loss_rec_sfr: 0.0730 (0.0852) loss_cl: -0.3680 (-0.3672) time: 0.8650 data: 0.0002 max mem: 29859 [17:19:58.070471] Epoch: [185] [440/850] eta: 0:05:57 lr: 0.002189 loss: 0.0231 (0.0236) loss_rec_all: 0.0591 (0.0597) loss_rec_sfr: 0.0881 (0.0853) loss_cl: -0.3675 (-0.3673) time: 0.8711 data: 0.0004 max mem: 29859 [17:20:15.362886] Epoch: [185] [460/850] eta: 0:05:39 lr: 0.002189 loss: 0.0218 (0.0235) loss_rec_all: 0.0579 (0.0597) loss_rec_sfr: 0.0673 (0.0850) loss_cl: -0.3675 (-0.3673) time: 0.8645 data: 0.0003 max mem: 29859 [17:20:32.702546] Epoch: [185] [480/850] eta: 0:05:22 lr: 0.002189 loss: 0.0225 (0.0235) loss_rec_all: 0.0586 (0.0596) loss_rec_sfr: 0.0624 (0.0849) loss_cl: -0.3672 (-0.3672) time: 0.8669 data: 0.0003 max mem: 29859 [17:20:49.960940] Epoch: [185] [500/850] eta: 0:05:04 lr: 0.002189 loss: 0.0227 (0.0235) loss_rec_all: 0.0588 (0.0596) loss_rec_sfr: 0.0696 (0.0847) loss_cl: -0.3672 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [17:21:07.296539] Epoch: [185] [520/850] eta: 0:04:47 lr: 0.002189 loss: 0.0221 (0.0234) loss_rec_all: 0.0581 (0.0596) loss_rec_sfr: 0.0828 (0.0848) loss_cl: -0.3672 (-0.3672) time: 0.8667 data: 0.0003 max mem: 29859 [17:21:24.617494] Epoch: [185] [540/850] eta: 0:04:29 lr: 0.002189 loss: 0.0244 (0.0235) loss_rec_all: 0.0603 (0.0596) loss_rec_sfr: 0.0923 (0.0850) loss_cl: -0.3666 (-0.3672) time: 0.8660 data: 0.0003 max mem: 29859 [17:21:41.933041] Epoch: [185] [560/850] eta: 0:04:12 lr: 0.002189 loss: 0.0231 (0.0235) loss_rec_all: 0.0590 (0.0596) loss_rec_sfr: 0.0912 (0.0853) loss_cl: -0.3671 (-0.3672) time: 0.8657 data: 0.0002 max mem: 29859 [17:21:59.188904] Epoch: [185] [580/850] eta: 0:03:54 lr: 0.002189 loss: 0.0221 (0.0235) loss_rec_all: 0.0581 (0.0596) loss_rec_sfr: 0.0684 (0.0852) loss_cl: -0.3678 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [17:22:16.571034] Epoch: [185] [600/850] eta: 0:03:37 lr: 0.002189 loss: 0.0231 (0.0235) loss_rec_all: 0.0593 (0.0596) loss_rec_sfr: 0.0747 (0.0853) loss_cl: -0.3681 (-0.3673) time: 0.8690 data: 0.0003 max mem: 29859 [17:22:33.857503] Epoch: [185] [620/850] eta: 0:03:19 lr: 0.002189 loss: 0.0228 (0.0235) loss_rec_all: 0.0589 (0.0596) loss_rec_sfr: 0.0678 (0.0852) loss_cl: -0.3675 (-0.3673) time: 0.8643 data: 0.0003 max mem: 29859 [17:22:51.121121] Epoch: [185] [640/850] eta: 0:03:02 lr: 0.002189 loss: 0.0220 (0.0235) loss_rec_all: 0.0582 (0.0596) loss_rec_sfr: 0.0676 (0.0851) loss_cl: -0.3667 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [17:23:08.446879] Epoch: [185] [660/850] eta: 0:02:45 lr: 0.002189 loss: 0.0217 (0.0235) loss_rec_all: 0.0579 (0.0596) loss_rec_sfr: 0.0629 (0.0848) loss_cl: -0.3669 (-0.3672) time: 0.8662 data: 0.0003 max mem: 29859 [17:23:25.746062] Epoch: [185] [680/850] eta: 0:02:27 lr: 0.002189 loss: 0.0223 (0.0235) loss_rec_all: 0.0585 (0.0596) loss_rec_sfr: 0.0720 (0.0848) loss_cl: -0.3674 (-0.3672) time: 0.8649 data: 0.0003 max mem: 29859 [17:23:43.000763] Epoch: [185] [700/850] eta: 0:02:10 lr: 0.002189 loss: 0.0218 (0.0235) loss_rec_all: 0.0582 (0.0596) loss_rec_sfr: 0.0672 (0.0849) loss_cl: -0.3677 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [17:24:00.354204] Epoch: [185] [720/850] eta: 0:01:52 lr: 0.002188 loss: 0.0216 (0.0234) loss_rec_all: 0.0578 (0.0596) loss_rec_sfr: 0.0600 (0.0849) loss_cl: -0.3676 (-0.3673) time: 0.8676 data: 0.0003 max mem: 29859 [17:24:17.580911] Epoch: [185] [740/850] eta: 0:01:35 lr: 0.002188 loss: 0.0216 (0.0234) loss_rec_all: 0.0579 (0.0596) loss_rec_sfr: 0.0642 (0.0847) loss_cl: -0.3669 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [17:24:34.865223] Epoch: [185] [760/850] eta: 0:01:18 lr: 0.002188 loss: 0.0224 (0.0234) loss_rec_all: 0.0588 (0.0596) loss_rec_sfr: 0.0828 (0.0846) loss_cl: -0.3668 (-0.3672) time: 0.8642 data: 0.0002 max mem: 29859 [17:24:52.139382] Epoch: [185] [780/850] eta: 0:01:00 lr: 0.002188 loss: 0.0213 (0.0234) loss_rec_all: 0.0576 (0.0595) loss_rec_sfr: 0.0618 (0.0844) loss_cl: -0.3670 (-0.3672) time: 0.8636 data: 0.0003 max mem: 29859 [17:25:09.403768] Epoch: [185] [800/850] eta: 0:00:43 lr: 0.002188 loss: 0.0215 (0.0234) loss_rec_all: 0.0576 (0.0595) loss_rec_sfr: 0.0639 (0.0843) loss_cl: -0.3676 (-0.3672) time: 0.8632 data: 0.0002 max mem: 29859 [17:25:26.657510] Epoch: [185] [820/850] eta: 0:00:26 lr: 0.002188 loss: 0.0215 (0.0234) loss_rec_all: 0.0577 (0.0595) loss_rec_sfr: 0.0850 (0.0843) loss_cl: -0.3683 (-0.3673) time: 0.8626 data: 0.0003 max mem: 29859 [17:25:43.984710] Epoch: [185] [840/850] eta: 0:00:08 lr: 0.002188 loss: 0.0224 (0.0234) loss_rec_all: 0.0590 (0.0595) loss_rec_sfr: 0.0669 (0.0842) loss_cl: -0.3688 (-0.3673) time: 0.8663 data: 0.0006 max mem: 29859 [17:25:51.742419] Epoch: [185] [849/850] eta: 0:00:00 lr: 0.002188 loss: 0.0224 (0.0234) loss_rec_all: 0.0588 (0.0595) loss_rec_sfr: 0.0644 (0.0843) loss_cl: -0.3685 (-0.3673) time: 0.8661 data: 0.0005 max mem: 29859 [17:25:51.879278] Epoch: [185] Total time: 0:12:17 (0.8681 s / it) [17:25:51.882763] Averaged stats: lr: 0.002188 loss: 0.0224 (0.0234) loss_rec_all: 0.0588 (0.0596) loss_rec_sfr: 0.0644 (0.0842) loss_cl: -0.3685 (-0.3673) [17:25:51.895282] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [17:25:55.747299] Epoch: [186] [ 0/850] eta: 0:54:33 lr: 0.002188 loss: 0.0274 (0.0274) loss_rec_all: 0.0636 (0.0636) loss_rec_sfr: 0.0871 (0.0871) loss_cl: -0.3687 (-0.3687) time: 3.8511 data: 2.8930 max mem: 29859 [17:26:12.933949] Epoch: [186] [ 20/850] eta: 0:13:51 lr: 0.002188 loss: 0.0216 (0.0235) loss_rec_all: 0.0580 (0.0597) loss_rec_sfr: 0.0660 (0.0778) loss_cl: -0.3673 (-0.3674) time: 0.8593 data: 0.0002 max mem: 29859 [17:26:30.234665] Epoch: [186] [ 40/850] eta: 0:12:37 lr: 0.002188 loss: 0.0234 (0.0236) loss_rec_all: 0.0593 (0.0596) loss_rec_sfr: 0.0889 (0.0865) loss_cl: -0.3661 (-0.3667) time: 0.8650 data: 0.0003 max mem: 29859 [17:26:47.443157] Epoch: [186] [ 60/850] eta: 0:11:59 lr: 0.002188 loss: 0.0217 (0.0234) loss_rec_all: 0.0579 (0.0595) loss_rec_sfr: 0.0608 (0.0828) loss_cl: -0.3658 (-0.3664) time: 0.8604 data: 0.0002 max mem: 29859 [17:27:04.689316] Epoch: [186] [ 80/850] eta: 0:11:31 lr: 0.002188 loss: 0.0243 (0.0243) loss_rec_all: 0.0605 (0.0603) loss_rec_sfr: 0.0710 (0.0833) loss_cl: -0.3667 (-0.3664) time: 0.8623 data: 0.0002 max mem: 29859 [17:27:21.945159] Epoch: [186] [100/850] eta: 0:11:08 lr: 0.002188 loss: 0.0250 (0.0245) loss_rec_all: 0.0612 (0.0606) loss_rec_sfr: 0.0692 (0.0835) loss_cl: -0.3676 (-0.3667) time: 0.8627 data: 0.0002 max mem: 29859 [17:27:39.184169] Epoch: [186] [120/850] eta: 0:10:47 lr: 0.002188 loss: 0.0236 (0.0245) loss_rec_all: 0.0599 (0.0606) loss_rec_sfr: 0.0944 (0.0846) loss_cl: -0.3681 (-0.3669) time: 0.8619 data: 0.0002 max mem: 29859 [17:27:56.436493] Epoch: [186] [140/850] eta: 0:10:27 lr: 0.002188 loss: 0.0235 (0.0245) loss_rec_all: 0.0596 (0.0606) loss_rec_sfr: 0.0874 (0.0845) loss_cl: -0.3680 (-0.3670) time: 0.8626 data: 0.0002 max mem: 29859 [17:28:13.691249] Epoch: [186] [160/850] eta: 0:10:07 lr: 0.002187 loss: 0.0210 (0.0243) loss_rec_all: 0.0574 (0.0604) loss_rec_sfr: 0.0616 (0.0836) loss_cl: -0.3676 (-0.3671) time: 0.8627 data: 0.0002 max mem: 29859 [17:28:30.935706] Epoch: [186] [180/850] eta: 0:09:48 lr: 0.002187 loss: 0.0227 (0.0242) loss_rec_all: 0.0588 (0.0603) loss_rec_sfr: 0.0648 (0.0832) loss_cl: -0.3666 (-0.3670) time: 0.8622 data: 0.0002 max mem: 29859 [17:28:48.211393] Epoch: [186] [200/850] eta: 0:09:30 lr: 0.002187 loss: 0.0233 (0.0242) loss_rec_all: 0.0594 (0.0603) loss_rec_sfr: 0.0736 (0.0833) loss_cl: -0.3668 (-0.3670) time: 0.8637 data: 0.0002 max mem: 29859 [17:29:05.427732] Epoch: [186] [220/850] eta: 0:09:11 lr: 0.002187 loss: 0.0221 (0.0241) loss_rec_all: 0.0584 (0.0602) loss_rec_sfr: 0.0683 (0.0827) loss_cl: -0.3673 (-0.3670) time: 0.8608 data: 0.0002 max mem: 29859 [17:29:22.706453] Epoch: [186] [240/850] eta: 0:08:53 lr: 0.002187 loss: 0.0212 (0.0239) loss_rec_all: 0.0573 (0.0601) loss_rec_sfr: 0.0658 (0.0828) loss_cl: -0.3671 (-0.3670) time: 0.8639 data: 0.0002 max mem: 29859 [17:29:39.931172] Epoch: [186] [260/850] eta: 0:08:35 lr: 0.002187 loss: 0.0211 (0.0238) loss_rec_all: 0.0571 (0.0599) loss_rec_sfr: 0.0638 (0.0821) loss_cl: -0.3677 (-0.3671) time: 0.8612 data: 0.0002 max mem: 29859 [17:29:57.208851] Epoch: [186] [280/850] eta: 0:08:17 lr: 0.002187 loss: 0.0213 (0.0237) loss_rec_all: 0.0578 (0.0598) loss_rec_sfr: 0.0704 (0.0823) loss_cl: -0.3675 (-0.3671) time: 0.8638 data: 0.0002 max mem: 29859 [17:30:14.426623] Epoch: [186] [300/850] eta: 0:07:59 lr: 0.002187 loss: 0.0216 (0.0236) loss_rec_all: 0.0580 (0.0598) loss_rec_sfr: 0.0640 (0.0821) loss_cl: -0.3674 (-0.3671) time: 0.8608 data: 0.0002 max mem: 29859 [17:30:31.706762] Epoch: [186] [320/850] eta: 0:07:41 lr: 0.002187 loss: 0.0225 (0.0237) loss_rec_all: 0.0587 (0.0598) loss_rec_sfr: 0.0872 (0.0821) loss_cl: -0.3673 (-0.3671) time: 0.8640 data: 0.0002 max mem: 29859 [17:30:48.926566] Epoch: [186] [340/850] eta: 0:07:24 lr: 0.002187 loss: 0.0225 (0.0236) loss_rec_all: 0.0584 (0.0598) loss_rec_sfr: 0.0805 (0.0822) loss_cl: -0.3671 (-0.3671) time: 0.8609 data: 0.0002 max mem: 29859 [17:31:06.198451] Epoch: [186] [360/850] eta: 0:07:06 lr: 0.002187 loss: 0.0222 (0.0236) loss_rec_all: 0.0580 (0.0597) loss_rec_sfr: 0.0747 (0.0824) loss_cl: -0.3667 (-0.3671) time: 0.8635 data: 0.0003 max mem: 29859 [17:31:23.426016] Epoch: [186] [380/850] eta: 0:06:48 lr: 0.002187 loss: 0.0207 (0.0235) loss_rec_all: 0.0570 (0.0596) loss_rec_sfr: 0.0584 (0.0822) loss_cl: -0.3672 (-0.3671) time: 0.8613 data: 0.0002 max mem: 29859 [17:31:40.694820] Epoch: [186] [400/850] eta: 0:06:31 lr: 0.002187 loss: 0.0216 (0.0234) loss_rec_all: 0.0579 (0.0596) loss_rec_sfr: 0.0693 (0.0820) loss_cl: -0.3678 (-0.3671) time: 0.8634 data: 0.0002 max mem: 29859 [17:31:57.940721] Epoch: [186] [420/850] eta: 0:06:13 lr: 0.002187 loss: 0.0219 (0.0234) loss_rec_all: 0.0580 (0.0595) loss_rec_sfr: 0.0687 (0.0821) loss_cl: -0.3681 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [17:32:15.195500] Epoch: [186] [440/850] eta: 0:05:56 lr: 0.002187 loss: 0.0226 (0.0234) loss_rec_all: 0.0586 (0.0596) loss_rec_sfr: 0.0944 (0.0826) loss_cl: -0.3679 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [17:32:32.455864] Epoch: [186] [460/850] eta: 0:05:38 lr: 0.002187 loss: 0.0228 (0.0234) loss_rec_all: 0.0590 (0.0596) loss_rec_sfr: 0.0666 (0.0828) loss_cl: -0.3678 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [17:32:49.729064] Epoch: [186] [480/850] eta: 0:05:21 lr: 0.002186 loss: 0.0229 (0.0234) loss_rec_all: 0.0591 (0.0595) loss_rec_sfr: 0.0863 (0.0832) loss_cl: -0.3674 (-0.3672) time: 0.8636 data: 0.0002 max mem: 29859 [17:33:06.972943] Epoch: [186] [500/850] eta: 0:05:03 lr: 0.002186 loss: 0.0229 (0.0234) loss_rec_all: 0.0590 (0.0595) loss_rec_sfr: 0.0833 (0.0835) loss_cl: -0.3673 (-0.3672) time: 0.8621 data: 0.0003 max mem: 29859 [17:33:24.233316] Epoch: [186] [520/850] eta: 0:04:46 lr: 0.002186 loss: 0.0224 (0.0234) loss_rec_all: 0.0586 (0.0595) loss_rec_sfr: 0.0704 (0.0833) loss_cl: -0.3672 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [17:33:41.461426] Epoch: [186] [540/850] eta: 0:04:29 lr: 0.002186 loss: 0.0228 (0.0234) loss_rec_all: 0.0590 (0.0596) loss_rec_sfr: 0.0684 (0.0832) loss_cl: -0.3672 (-0.3672) time: 0.8613 data: 0.0002 max mem: 29859 [17:33:58.714331] Epoch: [186] [560/850] eta: 0:04:11 lr: 0.002186 loss: 0.0207 (0.0233) loss_rec_all: 0.0571 (0.0595) loss_rec_sfr: 0.0662 (0.0831) loss_cl: -0.3671 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [17:34:15.936845] Epoch: [186] [580/850] eta: 0:03:54 lr: 0.002186 loss: 0.0235 (0.0234) loss_rec_all: 0.0596 (0.0595) loss_rec_sfr: 0.0882 (0.0834) loss_cl: -0.3665 (-0.3672) time: 0.8611 data: 0.0002 max mem: 29859 [17:34:33.219717] Epoch: [186] [600/850] eta: 0:03:36 lr: 0.002186 loss: 0.0233 (0.0234) loss_rec_all: 0.0593 (0.0595) loss_rec_sfr: 0.0706 (0.0836) loss_cl: -0.3669 (-0.3672) time: 0.8641 data: 0.0002 max mem: 29859 [17:34:50.444644] Epoch: [186] [620/850] eta: 0:03:19 lr: 0.002186 loss: 0.0221 (0.0233) loss_rec_all: 0.0585 (0.0595) loss_rec_sfr: 0.0627 (0.0835) loss_cl: -0.3677 (-0.3672) time: 0.8612 data: 0.0002 max mem: 29859 [17:35:07.757594] Epoch: [186] [640/850] eta: 0:03:02 lr: 0.002186 loss: 0.0224 (0.0233) loss_rec_all: 0.0585 (0.0595) loss_rec_sfr: 0.0668 (0.0833) loss_cl: -0.3675 (-0.3672) time: 0.8656 data: 0.0003 max mem: 29859 [17:35:24.983645] Epoch: [186] [660/850] eta: 0:02:44 lr: 0.002186 loss: 0.0223 (0.0233) loss_rec_all: 0.0585 (0.0595) loss_rec_sfr: 0.0842 (0.0835) loss_cl: -0.3676 (-0.3672) time: 0.8613 data: 0.0002 max mem: 29859 [17:35:42.274187] Epoch: [186] [680/850] eta: 0:02:27 lr: 0.002186 loss: 0.0231 (0.0233) loss_rec_all: 0.0594 (0.0595) loss_rec_sfr: 0.0910 (0.0835) loss_cl: -0.3673 (-0.3672) time: 0.8645 data: 0.0002 max mem: 29859 [17:35:59.504068] Epoch: [186] [700/850] eta: 0:02:10 lr: 0.002186 loss: 0.0255 (0.0234) loss_rec_all: 0.0618 (0.0596) loss_rec_sfr: 0.0907 (0.0837) loss_cl: -0.3675 (-0.3672) time: 0.8614 data: 0.0002 max mem: 29859 [17:36:16.783584] Epoch: [186] [720/850] eta: 0:01:52 lr: 0.002186 loss: 0.0247 (0.0235) loss_rec_all: 0.0609 (0.0597) loss_rec_sfr: 0.0688 (0.0836) loss_cl: -0.3672 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [17:36:34.023146] Epoch: [186] [740/850] eta: 0:01:35 lr: 0.002186 loss: 0.0266 (0.0236) loss_rec_all: 0.0627 (0.0598) loss_rec_sfr: 0.0983 (0.0840) loss_cl: -0.3673 (-0.3672) time: 0.8610 data: 0.0002 max mem: 29859 [17:36:51.298352] Epoch: [186] [760/850] eta: 0:01:17 lr: 0.002185 loss: 0.0270 (0.0237) loss_rec_all: 0.0633 (0.0599) loss_rec_sfr: 0.0739 (0.0844) loss_cl: -0.3671 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [17:37:08.548762] Epoch: [186] [780/850] eta: 0:01:00 lr: 0.002185 loss: 0.0241 (0.0238) loss_rec_all: 0.0603 (0.0599) loss_rec_sfr: 0.0693 (0.0844) loss_cl: -0.3668 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [17:37:25.817953] Epoch: [186] [800/850] eta: 0:00:43 lr: 0.002185 loss: 0.0232 (0.0238) loss_rec_all: 0.0594 (0.0599) loss_rec_sfr: 0.0683 (0.0842) loss_cl: -0.3667 (-0.3672) time: 0.8634 data: 0.0002 max mem: 29859 [17:37:43.059925] Epoch: [186] [820/850] eta: 0:00:25 lr: 0.002185 loss: 0.0236 (0.0238) loss_rec_all: 0.0599 (0.0599) loss_rec_sfr: 0.0882 (0.0843) loss_cl: -0.3676 (-0.3672) time: 0.8620 data: 0.0003 max mem: 29859 [17:38:00.324848] Epoch: [186] [840/850] eta: 0:00:08 lr: 0.002185 loss: 0.0219 (0.0238) loss_rec_all: 0.0582 (0.0599) loss_rec_sfr: 0.0682 (0.0842) loss_cl: -0.3677 (-0.3672) time: 0.8632 data: 0.0005 max mem: 29859 [17:38:08.072764] Epoch: [186] [849/850] eta: 0:00:00 lr: 0.002185 loss: 0.0219 (0.0238) loss_rec_all: 0.0582 (0.0599) loss_rec_sfr: 0.0735 (0.0842) loss_cl: -0.3677 (-0.3672) time: 0.8629 data: 0.0004 max mem: 29859 [17:38:08.230624] Epoch: [186] Total time: 0:12:16 (0.8663 s / it) [17:38:08.233176] Averaged stats: lr: 0.002185 loss: 0.0219 (0.0238) loss_rec_all: 0.0582 (0.0600) loss_rec_sfr: 0.0735 (0.0845) loss_cl: -0.3677 (-0.3673) [17:38:08.245095] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [17:38:15.356233] Epoch: [187] [ 0/850] eta: 1:40:43 lr: 0.002185 loss: 0.0228 (0.0228) loss_rec_all: 0.0586 (0.0586) loss_rec_sfr: 0.1338 (0.1338) loss_cl: -0.3670 (-0.3670) time: 7.1097 data: 4.8320 max mem: 29859 [17:38:32.776719] Epoch: [187] [ 20/850] eta: 0:16:09 lr: 0.002185 loss: 0.0216 (0.0227) loss_rec_all: 0.0577 (0.0588) loss_rec_sfr: 0.0653 (0.0825) loss_cl: -0.3671 (-0.3671) time: 0.8710 data: 0.0131 max mem: 29859 [17:38:50.016887] Epoch: [187] [ 40/850] eta: 0:13:45 lr: 0.002185 loss: 0.0221 (0.0226) loss_rec_all: 0.0582 (0.0587) loss_rec_sfr: 0.0868 (0.0848) loss_cl: -0.3663 (-0.3667) time: 0.8619 data: 0.0002 max mem: 29859 [17:39:07.255401] Epoch: [187] [ 60/850] eta: 0:12:44 lr: 0.002185 loss: 0.0213 (0.0222) loss_rec_all: 0.0573 (0.0583) loss_rec_sfr: 0.0650 (0.0822) loss_cl: -0.3669 (-0.3667) time: 0.8619 data: 0.0003 max mem: 29859 [17:39:24.524033] Epoch: [187] [ 80/850] eta: 0:12:05 lr: 0.002185 loss: 0.0219 (0.0222) loss_rec_all: 0.0579 (0.0583) loss_rec_sfr: 0.0847 (0.0823) loss_cl: -0.3678 (-0.3670) time: 0.8634 data: 0.0002 max mem: 29859 [17:39:41.769298] Epoch: [187] [100/850] eta: 0:11:34 lr: 0.002185 loss: 0.0218 (0.0223) loss_rec_all: 0.0581 (0.0584) loss_rec_sfr: 0.0665 (0.0811) loss_cl: -0.3676 (-0.3671) time: 0.8622 data: 0.0002 max mem: 29859 [17:39:59.022378] Epoch: [187] [120/850] eta: 0:11:08 lr: 0.002185 loss: 0.0217 (0.0223) loss_rec_all: 0.0580 (0.0584) loss_rec_sfr: 0.0601 (0.0814) loss_cl: -0.3681 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [17:40:16.239869] Epoch: [187] [140/850] eta: 0:10:44 lr: 0.002185 loss: 0.0257 (0.0227) loss_rec_all: 0.0616 (0.0589) loss_rec_sfr: 0.0940 (0.0837) loss_cl: -0.3681 (-0.3673) time: 0.8608 data: 0.0002 max mem: 29859 [17:40:33.505963] Epoch: [187] [160/850] eta: 0:10:22 lr: 0.002185 loss: 0.0242 (0.0230) loss_rec_all: 0.0602 (0.0592) loss_rec_sfr: 0.0896 (0.0844) loss_cl: -0.3674 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [17:40:50.736088] Epoch: [187] [180/850] eta: 0:10:01 lr: 0.002185 loss: 0.0228 (0.0230) loss_rec_all: 0.0590 (0.0592) loss_rec_sfr: 0.1032 (0.0855) loss_cl: -0.3673 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [17:41:08.000206] Epoch: [187] [200/850] eta: 0:09:41 lr: 0.002185 loss: 0.0256 (0.0232) loss_rec_all: 0.0613 (0.0594) loss_rec_sfr: 0.0883 (0.0859) loss_cl: -0.3667 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [17:41:25.213921] Epoch: [187] [220/850] eta: 0:09:21 lr: 0.002184 loss: 0.0246 (0.0235) loss_rec_all: 0.0605 (0.0596) loss_rec_sfr: 0.1080 (0.0870) loss_cl: -0.3671 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [17:41:42.498060] Epoch: [187] [240/850] eta: 0:09:02 lr: 0.002184 loss: 0.0219 (0.0234) loss_rec_all: 0.0581 (0.0595) loss_rec_sfr: 0.0642 (0.0860) loss_cl: -0.3669 (-0.3672) time: 0.8642 data: 0.0002 max mem: 29859 [17:41:59.744230] Epoch: [187] [260/850] eta: 0:08:43 lr: 0.002184 loss: 0.0228 (0.0234) loss_rec_all: 0.0589 (0.0595) loss_rec_sfr: 0.0644 (0.0856) loss_cl: -0.3672 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [17:42:17.021746] Epoch: [187] [280/850] eta: 0:08:24 lr: 0.002184 loss: 0.0215 (0.0233) loss_rec_all: 0.0576 (0.0594) loss_rec_sfr: 0.0632 (0.0854) loss_cl: -0.3673 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [17:42:34.244958] Epoch: [187] [300/850] eta: 0:08:06 lr: 0.002184 loss: 0.0230 (0.0233) loss_rec_all: 0.0588 (0.0594) loss_rec_sfr: 0.1029 (0.0863) loss_cl: -0.3672 (-0.3672) time: 0.8611 data: 0.0002 max mem: 29859 [17:42:51.512193] Epoch: [187] [320/850] eta: 0:07:47 lr: 0.002184 loss: 0.0202 (0.0231) loss_rec_all: 0.0566 (0.0593) loss_rec_sfr: 0.0569 (0.0854) loss_cl: -0.3669 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [17:43:08.745066] Epoch: [187] [340/850] eta: 0:07:29 lr: 0.002184 loss: 0.0219 (0.0232) loss_rec_all: 0.0581 (0.0593) loss_rec_sfr: 0.0853 (0.0853) loss_cl: -0.3671 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [17:43:26.020345] Epoch: [187] [360/850] eta: 0:07:11 lr: 0.002184 loss: 0.0214 (0.0231) loss_rec_all: 0.0578 (0.0592) loss_rec_sfr: 0.0611 (0.0845) loss_cl: -0.3679 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [17:43:43.259277] Epoch: [187] [380/850] eta: 0:06:53 lr: 0.002184 loss: 0.0211 (0.0230) loss_rec_all: 0.0574 (0.0591) loss_rec_sfr: 0.0645 (0.0842) loss_cl: -0.3682 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [17:44:00.515848] Epoch: [187] [400/850] eta: 0:06:35 lr: 0.002184 loss: 0.0234 (0.0230) loss_rec_all: 0.0596 (0.0592) loss_rec_sfr: 0.0828 (0.0840) loss_cl: -0.3676 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [17:44:17.750729] Epoch: [187] [420/850] eta: 0:06:17 lr: 0.002184 loss: 0.0226 (0.0231) loss_rec_all: 0.0587 (0.0592) loss_rec_sfr: 0.0806 (0.0842) loss_cl: -0.3672 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [17:44:35.016534] Epoch: [187] [440/850] eta: 0:05:59 lr: 0.002184 loss: 0.0225 (0.0231) loss_rec_all: 0.0585 (0.0592) loss_rec_sfr: 0.0764 (0.0844) loss_cl: -0.3670 (-0.3672) time: 0.8632 data: 0.0002 max mem: 29859 [17:44:52.240103] Epoch: [187] [460/850] eta: 0:05:41 lr: 0.002184 loss: 0.0217 (0.0230) loss_rec_all: 0.0580 (0.0592) loss_rec_sfr: 0.0680 (0.0841) loss_cl: -0.3670 (-0.3672) time: 0.8611 data: 0.0002 max mem: 29859 [17:45:09.533248] Epoch: [187] [480/850] eta: 0:05:24 lr: 0.002184 loss: 0.0232 (0.0231) loss_rec_all: 0.0594 (0.0592) loss_rec_sfr: 0.0717 (0.0843) loss_cl: -0.3674 (-0.3672) time: 0.8646 data: 0.0002 max mem: 29859 [17:45:26.755684] Epoch: [187] [500/850] eta: 0:05:06 lr: 0.002184 loss: 0.0229 (0.0231) loss_rec_all: 0.0591 (0.0592) loss_rec_sfr: 0.0752 (0.0844) loss_cl: -0.3670 (-0.3672) time: 0.8611 data: 0.0002 max mem: 29859 [17:45:44.011021] Epoch: [187] [520/850] eta: 0:04:48 lr: 0.002183 loss: 0.0236 (0.0231) loss_rec_all: 0.0595 (0.0592) loss_rec_sfr: 0.0894 (0.0848) loss_cl: -0.3669 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [17:46:01.218970] Epoch: [187] [540/850] eta: 0:04:31 lr: 0.002183 loss: 0.0227 (0.0231) loss_rec_all: 0.0590 (0.0592) loss_rec_sfr: 0.0719 (0.0849) loss_cl: -0.3667 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [17:46:18.471999] Epoch: [187] [560/850] eta: 0:04:13 lr: 0.002183 loss: 0.0216 (0.0231) loss_rec_all: 0.0577 (0.0592) loss_rec_sfr: 0.0689 (0.0847) loss_cl: -0.3674 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [17:46:35.676748] Epoch: [187] [580/850] eta: 0:03:55 lr: 0.002183 loss: 0.0221 (0.0231) loss_rec_all: 0.0585 (0.0592) loss_rec_sfr: 0.0693 (0.0846) loss_cl: -0.3676 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [17:46:52.941483] Epoch: [187] [600/850] eta: 0:03:38 lr: 0.002183 loss: 0.0221 (0.0231) loss_rec_all: 0.0584 (0.0592) loss_rec_sfr: 0.0690 (0.0845) loss_cl: -0.3675 (-0.3672) time: 0.8632 data: 0.0002 max mem: 29859 [17:47:10.149937] Epoch: [187] [620/850] eta: 0:03:20 lr: 0.002183 loss: 0.0208 (0.0231) loss_rec_all: 0.0568 (0.0592) loss_rec_sfr: 0.0854 (0.0844) loss_cl: -0.3677 (-0.3673) time: 0.8604 data: 0.0002 max mem: 29859 [17:47:27.438420] Epoch: [187] [640/850] eta: 0:03:03 lr: 0.002183 loss: 0.0230 (0.0230) loss_rec_all: 0.0589 (0.0592) loss_rec_sfr: 0.0880 (0.0846) loss_cl: -0.3670 (-0.3672) time: 0.8644 data: 0.0002 max mem: 29859 [17:47:44.657631] Epoch: [187] [660/850] eta: 0:02:45 lr: 0.002183 loss: 0.0237 (0.0231) loss_rec_all: 0.0600 (0.0592) loss_rec_sfr: 0.0689 (0.0845) loss_cl: -0.3671 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [17:48:01.943058] Epoch: [187] [680/850] eta: 0:02:28 lr: 0.002183 loss: 0.0250 (0.0232) loss_rec_all: 0.0612 (0.0593) loss_rec_sfr: 0.0693 (0.0847) loss_cl: -0.3669 (-0.3672) time: 0.8642 data: 0.0002 max mem: 29859 [17:48:19.161849] Epoch: [187] [700/850] eta: 0:02:10 lr: 0.002183 loss: 0.0253 (0.0232) loss_rec_all: 0.0612 (0.0594) loss_rec_sfr: 0.0827 (0.0851) loss_cl: -0.3673 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [17:48:36.408514] Epoch: [187] [720/850] eta: 0:01:53 lr: 0.002183 loss: 0.0235 (0.0233) loss_rec_all: 0.0597 (0.0594) loss_rec_sfr: 0.0722 (0.0851) loss_cl: -0.3673 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [17:48:53.618736] Epoch: [187] [740/850] eta: 0:01:35 lr: 0.002183 loss: 0.0238 (0.0233) loss_rec_all: 0.0602 (0.0595) loss_rec_sfr: 0.0769 (0.0853) loss_cl: -0.3675 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [17:49:10.866500] Epoch: [187] [760/850] eta: 0:01:18 lr: 0.002183 loss: 0.0225 (0.0233) loss_rec_all: 0.0588 (0.0595) loss_rec_sfr: 0.0683 (0.0851) loss_cl: -0.3673 (-0.3672) time: 0.8623 data: 0.0003 max mem: 29859 [17:49:28.080033] Epoch: [187] [780/850] eta: 0:01:00 lr: 0.002183 loss: 0.0259 (0.0234) loss_rec_all: 0.0616 (0.0595) loss_rec_sfr: 0.0891 (0.0853) loss_cl: -0.3670 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [17:49:45.335576] Epoch: [187] [800/850] eta: 0:00:43 lr: 0.002183 loss: 0.0234 (0.0234) loss_rec_all: 0.0597 (0.0595) loss_rec_sfr: 0.0749 (0.0854) loss_cl: -0.3674 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [17:50:02.552355] Epoch: [187] [820/850] eta: 0:00:26 lr: 0.002182 loss: 0.0235 (0.0234) loss_rec_all: 0.0596 (0.0596) loss_rec_sfr: 0.0886 (0.0855) loss_cl: -0.3675 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [17:50:19.828365] Epoch: [187] [840/850] eta: 0:00:08 lr: 0.002182 loss: 0.0218 (0.0234) loss_rec_all: 0.0581 (0.0596) loss_rec_sfr: 0.0636 (0.0853) loss_cl: -0.3673 (-0.3672) time: 0.8637 data: 0.0005 max mem: 29859 [17:50:31.896472] Epoch: [187] [849/850] eta: 0:00:00 lr: 0.002182 loss: 0.0218 (0.0234) loss_rec_all: 0.0581 (0.0595) loss_rec_sfr: 0.0644 (0.0853) loss_cl: -0.3673 (-0.3672) time: 1.0792 data: 0.2167 max mem: 29859 [17:50:32.057272] Epoch: [187] Total time: 0:12:23 (0.8751 s / it) [17:50:32.060992] Averaged stats: lr: 0.002182 loss: 0.0218 (0.0235) loss_rec_all: 0.0581 (0.0596) loss_rec_sfr: 0.0644 (0.0857) loss_cl: -0.3673 (-0.3672) [17:50:32.073430] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [17:50:38.987851] Epoch: [188] [ 0/850] eta: 1:37:56 lr: 0.002182 loss: 0.0241 (0.0241) loss_rec_all: 0.0599 (0.0599) loss_rec_sfr: 0.1286 (0.1286) loss_cl: -0.3671 (-0.3671) time: 6.9134 data: 5.2851 max mem: 29859 [17:50:56.138662] Epoch: [188] [ 20/850] eta: 0:15:51 lr: 0.002182 loss: 0.0224 (0.0233) loss_rec_all: 0.0584 (0.0594) loss_rec_sfr: 0.0889 (0.0928) loss_cl: -0.3669 (-0.3670) time: 0.8575 data: 0.0002 max mem: 29859 [17:51:13.363532] Epoch: [188] [ 40/850] eta: 0:13:35 lr: 0.002182 loss: 0.0222 (0.0230) loss_rec_all: 0.0582 (0.0591) loss_rec_sfr: 0.0702 (0.0872) loss_cl: -0.3670 (-0.3670) time: 0.8612 data: 0.0002 max mem: 29859 [17:51:30.598327] Epoch: [188] [ 60/850] eta: 0:12:37 lr: 0.002182 loss: 0.0212 (0.0229) loss_rec_all: 0.0572 (0.0590) loss_rec_sfr: 0.0657 (0.0846) loss_cl: -0.3677 (-0.3672) time: 0.8617 data: 0.0003 max mem: 29859 [17:51:47.878454] Epoch: [188] [ 80/850] eta: 0:12:00 lr: 0.002182 loss: 0.0207 (0.0225) loss_rec_all: 0.0568 (0.0586) loss_rec_sfr: 0.0614 (0.0826) loss_cl: -0.3680 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [17:52:05.096074] Epoch: [188] [100/850] eta: 0:11:30 lr: 0.002182 loss: 0.0216 (0.0223) loss_rec_all: 0.0579 (0.0585) loss_rec_sfr: 0.0955 (0.0838) loss_cl: -0.3679 (-0.3675) time: 0.8608 data: 0.0002 max mem: 29859 [17:52:22.386597] Epoch: [188] [120/850] eta: 0:11:05 lr: 0.002182 loss: 0.0219 (0.0223) loss_rec_all: 0.0581 (0.0584) loss_rec_sfr: 0.0821 (0.0845) loss_cl: -0.3672 (-0.3674) time: 0.8645 data: 0.0003 max mem: 29859 [17:52:39.624161] Epoch: [188] [140/850] eta: 0:10:42 lr: 0.002182 loss: 0.0214 (0.0222) loss_rec_all: 0.0576 (0.0584) loss_rec_sfr: 0.0670 (0.0840) loss_cl: -0.3671 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [17:52:56.891152] Epoch: [188] [160/850] eta: 0:10:20 lr: 0.002182 loss: 0.0212 (0.0222) loss_rec_all: 0.0576 (0.0584) loss_rec_sfr: 0.0666 (0.0835) loss_cl: -0.3671 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [17:53:14.145320] Epoch: [188] [180/850] eta: 0:09:59 lr: 0.002182 loss: 0.0224 (0.0223) loss_rec_all: 0.0587 (0.0585) loss_rec_sfr: 0.0703 (0.0838) loss_cl: -0.3674 (-0.3674) time: 0.8627 data: 0.0003 max mem: 29859 [17:53:31.411562] Epoch: [188] [200/850] eta: 0:09:39 lr: 0.002182 loss: 0.0230 (0.0224) loss_rec_all: 0.0591 (0.0586) loss_rec_sfr: 0.0701 (0.0840) loss_cl: -0.3669 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [17:53:48.658635] Epoch: [188] [220/850] eta: 0:09:20 lr: 0.002182 loss: 0.0217 (0.0224) loss_rec_all: 0.0579 (0.0586) loss_rec_sfr: 0.0678 (0.0836) loss_cl: -0.3671 (-0.3673) time: 0.8623 data: 0.0003 max mem: 29859 [17:54:05.938518] Epoch: [188] [240/850] eta: 0:09:01 lr: 0.002182 loss: 0.0222 (0.0225) loss_rec_all: 0.0584 (0.0586) loss_rec_sfr: 0.0863 (0.0837) loss_cl: -0.3673 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [17:54:23.161096] Epoch: [188] [260/850] eta: 0:08:42 lr: 0.002181 loss: 0.0217 (0.0225) loss_rec_all: 0.0580 (0.0587) loss_rec_sfr: 0.0662 (0.0837) loss_cl: -0.3677 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [17:54:40.440924] Epoch: [188] [280/850] eta: 0:08:23 lr: 0.002181 loss: 0.0224 (0.0226) loss_rec_all: 0.0582 (0.0587) loss_rec_sfr: 0.0829 (0.0837) loss_cl: -0.3677 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [17:54:57.669845] Epoch: [188] [300/850] eta: 0:08:05 lr: 0.002181 loss: 0.0214 (0.0226) loss_rec_all: 0.0576 (0.0587) loss_rec_sfr: 0.0699 (0.0834) loss_cl: -0.3676 (-0.3674) time: 0.8614 data: 0.0002 max mem: 29859 [17:55:14.943928] Epoch: [188] [320/850] eta: 0:07:47 lr: 0.002181 loss: 0.0214 (0.0226) loss_rec_all: 0.0577 (0.0588) loss_rec_sfr: 0.0657 (0.0832) loss_cl: -0.3676 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [17:55:32.179830] Epoch: [188] [340/850] eta: 0:07:28 lr: 0.002181 loss: 0.0228 (0.0227) loss_rec_all: 0.0586 (0.0589) loss_rec_sfr: 0.0985 (0.0841) loss_cl: -0.3671 (-0.3673) time: 0.8617 data: 0.0003 max mem: 29859 [17:55:49.447768] Epoch: [188] [360/850] eta: 0:07:10 lr: 0.002181 loss: 0.0248 (0.0229) loss_rec_all: 0.0606 (0.0590) loss_rec_sfr: 0.0876 (0.0845) loss_cl: -0.3665 (-0.3673) time: 0.8633 data: 0.0003 max mem: 29859 [17:56:06.670256] Epoch: [188] [380/850] eta: 0:06:52 lr: 0.002181 loss: 0.0236 (0.0229) loss_rec_all: 0.0598 (0.0591) loss_rec_sfr: 0.0623 (0.0841) loss_cl: -0.3669 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [17:56:23.942019] Epoch: [188] [400/850] eta: 0:06:34 lr: 0.002181 loss: 0.0267 (0.0231) loss_rec_all: 0.0629 (0.0593) loss_rec_sfr: 0.0718 (0.0843) loss_cl: -0.3673 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [17:56:41.165703] Epoch: [188] [420/850] eta: 0:06:16 lr: 0.002181 loss: 0.0242 (0.0232) loss_rec_all: 0.0603 (0.0594) loss_rec_sfr: 0.0896 (0.0848) loss_cl: -0.3685 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [17:56:58.442322] Epoch: [188] [440/850] eta: 0:05:59 lr: 0.002181 loss: 0.0224 (0.0232) loss_rec_all: 0.0588 (0.0594) loss_rec_sfr: 0.0723 (0.0847) loss_cl: -0.3682 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [17:57:15.669985] Epoch: [188] [460/850] eta: 0:05:41 lr: 0.002181 loss: 0.0236 (0.0233) loss_rec_all: 0.0596 (0.0594) loss_rec_sfr: 0.0703 (0.0845) loss_cl: -0.3678 (-0.3674) time: 0.8613 data: 0.0002 max mem: 29859 [17:57:32.963037] Epoch: [188] [480/850] eta: 0:05:23 lr: 0.002181 loss: 0.0210 (0.0232) loss_rec_all: 0.0574 (0.0593) loss_rec_sfr: 0.0592 (0.0841) loss_cl: -0.3669 (-0.3674) time: 0.8646 data: 0.0002 max mem: 29859 [17:57:50.195226] Epoch: [188] [500/850] eta: 0:05:06 lr: 0.002181 loss: 0.0216 (0.0232) loss_rec_all: 0.0579 (0.0593) loss_rec_sfr: 0.0679 (0.0840) loss_cl: -0.3668 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [17:58:07.470813] Epoch: [188] [520/850] eta: 0:04:48 lr: 0.002181 loss: 0.0200 (0.0231) loss_rec_all: 0.0562 (0.0592) loss_rec_sfr: 0.0611 (0.0836) loss_cl: -0.3673 (-0.3673) time: 0.8637 data: 0.0003 max mem: 29859 [17:58:24.713654] Epoch: [188] [540/850] eta: 0:04:30 lr: 0.002181 loss: 0.0208 (0.0230) loss_rec_all: 0.0571 (0.0592) loss_rec_sfr: 0.0600 (0.0832) loss_cl: -0.3672 (-0.3673) time: 0.8621 data: 0.0003 max mem: 29859 [17:58:41.969696] Epoch: [188] [560/850] eta: 0:04:13 lr: 0.002180 loss: 0.0232 (0.0230) loss_rec_all: 0.0595 (0.0592) loss_rec_sfr: 0.0650 (0.0830) loss_cl: -0.3674 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [17:58:59.222054] Epoch: [188] [580/850] eta: 0:03:55 lr: 0.002180 loss: 0.0230 (0.0230) loss_rec_all: 0.0592 (0.0592) loss_rec_sfr: 0.0689 (0.0830) loss_cl: -0.3668 (-0.3673) time: 0.8626 data: 0.0003 max mem: 29859 [17:59:16.481206] Epoch: [188] [600/850] eta: 0:03:38 lr: 0.002180 loss: 0.0213 (0.0230) loss_rec_all: 0.0575 (0.0592) loss_rec_sfr: 0.0623 (0.0827) loss_cl: -0.3665 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [17:59:33.730729] Epoch: [188] [620/850] eta: 0:03:20 lr: 0.002180 loss: 0.0222 (0.0230) loss_rec_all: 0.0584 (0.0592) loss_rec_sfr: 0.0905 (0.0828) loss_cl: -0.3670 (-0.3673) time: 0.8624 data: 0.0003 max mem: 29859 [17:59:50.988301] Epoch: [188] [640/850] eta: 0:03:03 lr: 0.002180 loss: 0.0218 (0.0230) loss_rec_all: 0.0582 (0.0592) loss_rec_sfr: 0.0879 (0.0829) loss_cl: -0.3684 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [18:00:08.216977] Epoch: [188] [660/850] eta: 0:02:45 lr: 0.002180 loss: 0.0224 (0.0230) loss_rec_all: 0.0585 (0.0592) loss_rec_sfr: 0.0861 (0.0832) loss_cl: -0.3682 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [18:00:25.496536] Epoch: [188] [680/850] eta: 0:02:28 lr: 0.002180 loss: 0.0231 (0.0230) loss_rec_all: 0.0591 (0.0592) loss_rec_sfr: 0.0832 (0.0834) loss_cl: -0.3678 (-0.3673) time: 0.8639 data: 0.0003 max mem: 29859 [18:00:42.714697] Epoch: [188] [700/850] eta: 0:02:10 lr: 0.002180 loss: 0.0226 (0.0230) loss_rec_all: 0.0588 (0.0592) loss_rec_sfr: 0.0695 (0.0834) loss_cl: -0.3673 (-0.3673) time: 0.8609 data: 0.0002 max mem: 29859 [18:01:00.026134] Epoch: [188] [720/850] eta: 0:01:53 lr: 0.002180 loss: 0.0230 (0.0230) loss_rec_all: 0.0589 (0.0592) loss_rec_sfr: 0.0669 (0.0834) loss_cl: -0.3671 (-0.3673) time: 0.8655 data: 0.0003 max mem: 29859 [18:01:17.239875] Epoch: [188] [740/850] eta: 0:01:35 lr: 0.002180 loss: 0.0212 (0.0230) loss_rec_all: 0.0574 (0.0592) loss_rec_sfr: 0.0607 (0.0832) loss_cl: -0.3667 (-0.3673) time: 0.8606 data: 0.0002 max mem: 29859 [18:01:34.544838] Epoch: [188] [760/850] eta: 0:01:18 lr: 0.002180 loss: 0.0221 (0.0230) loss_rec_all: 0.0583 (0.0592) loss_rec_sfr: 0.0678 (0.0832) loss_cl: -0.3669 (-0.3673) time: 0.8652 data: 0.0003 max mem: 29859 [18:01:51.779234] Epoch: [188] [780/850] eta: 0:01:00 lr: 0.002180 loss: 0.0225 (0.0230) loss_rec_all: 0.0587 (0.0592) loss_rec_sfr: 0.0594 (0.0830) loss_cl: -0.3676 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [18:02:09.066924] Epoch: [188] [800/850] eta: 0:00:43 lr: 0.002180 loss: 0.0217 (0.0230) loss_rec_all: 0.0581 (0.0592) loss_rec_sfr: 0.0727 (0.0830) loss_cl: -0.3681 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [18:02:26.292510] Epoch: [188] [820/850] eta: 0:00:26 lr: 0.002180 loss: 0.0227 (0.0230) loss_rec_all: 0.0590 (0.0592) loss_rec_sfr: 0.0645 (0.0829) loss_cl: -0.3682 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [18:02:43.519448] Epoch: [188] [840/850] eta: 0:00:08 lr: 0.002180 loss: 0.0212 (0.0230) loss_rec_all: 0.0575 (0.0592) loss_rec_sfr: 0.0638 (0.0828) loss_cl: -0.3682 (-0.3674) time: 0.8613 data: 0.0005 max mem: 29859 [18:02:51.287479] Epoch: [188] [849/850] eta: 0:00:00 lr: 0.002179 loss: 0.0213 (0.0230) loss_rec_all: 0.0576 (0.0592) loss_rec_sfr: 0.0676 (0.0828) loss_cl: -0.3680 (-0.3674) time: 0.8636 data: 0.0004 max mem: 29859 [18:02:51.438120] Epoch: [188] Total time: 0:12:19 (0.8698 s / it) [18:02:51.443202] Averaged stats: lr: 0.002179 loss: 0.0213 (0.0230) loss_rec_all: 0.0576 (0.0591) loss_rec_sfr: 0.0676 (0.0837) loss_cl: -0.3680 (-0.3672) [18:02:51.498976] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [18:03:01.574778] Epoch: [189] [ 0/850] eta: 2:22:43 lr: 0.002179 loss: 0.0179 (0.0179) loss_rec_all: 0.0542 (0.0542) loss_rec_sfr: 0.0532 (0.0532) loss_cl: -0.3659 (-0.3659) time: 10.0745 data: 7.9337 max mem: 29859 [18:03:18.781777] Epoch: [189] [ 20/850] eta: 0:17:58 lr: 0.002179 loss: 0.0212 (0.0216) loss_rec_all: 0.0572 (0.0578) loss_rec_sfr: 0.0628 (0.0837) loss_cl: -0.3673 (-0.3671) time: 0.8603 data: 0.0037 max mem: 29859 [18:03:36.012095] Epoch: [189] [ 40/850] eta: 0:14:39 lr: 0.002179 loss: 0.0240 (0.0233) loss_rec_all: 0.0602 (0.0594) loss_rec_sfr: 0.0680 (0.0837) loss_cl: -0.3666 (-0.3668) time: 0.8614 data: 0.0002 max mem: 29859 [18:03:53.215645] Epoch: [189] [ 60/850] eta: 0:13:19 lr: 0.002179 loss: 0.0234 (0.0238) loss_rec_all: 0.0592 (0.0599) loss_rec_sfr: 0.0664 (0.0842) loss_cl: -0.3663 (-0.3667) time: 0.8601 data: 0.0002 max mem: 29859 [18:04:10.461549] Epoch: [189] [ 80/850] eta: 0:12:30 lr: 0.002179 loss: 0.0241 (0.0240) loss_rec_all: 0.0603 (0.0601) loss_rec_sfr: 0.0635 (0.0852) loss_cl: -0.3667 (-0.3667) time: 0.8622 data: 0.0002 max mem: 29859 [18:04:27.703731] Epoch: [189] [100/850] eta: 0:11:54 lr: 0.002179 loss: 0.0232 (0.0241) loss_rec_all: 0.0593 (0.0601) loss_rec_sfr: 0.0727 (0.0851) loss_cl: -0.3668 (-0.3667) time: 0.8621 data: 0.0002 max mem: 29859 [18:04:44.960218] Epoch: [189] [120/850] eta: 0:11:24 lr: 0.002179 loss: 0.0237 (0.0241) loss_rec_all: 0.0599 (0.0602) loss_rec_sfr: 0.0724 (0.0855) loss_cl: -0.3671 (-0.3668) time: 0.8628 data: 0.0002 max mem: 29859 [18:05:02.226384] Epoch: [189] [140/850] eta: 0:10:58 lr: 0.002179 loss: 0.0212 (0.0237) loss_rec_all: 0.0576 (0.0599) loss_rec_sfr: 0.0623 (0.0841) loss_cl: -0.3678 (-0.3669) time: 0.8633 data: 0.0003 max mem: 29859 [18:05:19.491518] Epoch: [189] [160/850] eta: 0:10:34 lr: 0.002179 loss: 0.0224 (0.0237) loss_rec_all: 0.0585 (0.0598) loss_rec_sfr: 0.0869 (0.0848) loss_cl: -0.3680 (-0.3671) time: 0.8632 data: 0.0002 max mem: 29859 [18:05:36.712314] Epoch: [189] [180/850] eta: 0:10:11 lr: 0.002179 loss: 0.0204 (0.0235) loss_rec_all: 0.0568 (0.0596) loss_rec_sfr: 0.0600 (0.0835) loss_cl: -0.3681 (-0.3672) time: 0.8610 data: 0.0002 max mem: 29859 [18:05:54.007902] Epoch: [189] [200/850] eta: 0:09:50 lr: 0.002179 loss: 0.0210 (0.0233) loss_rec_all: 0.0571 (0.0594) loss_rec_sfr: 0.0684 (0.0834) loss_cl: -0.3677 (-0.3672) time: 0.8647 data: 0.0002 max mem: 29859 [18:06:11.210971] Epoch: [189] [220/850] eta: 0:09:29 lr: 0.002179 loss: 0.0211 (0.0232) loss_rec_all: 0.0574 (0.0593) loss_rec_sfr: 0.0657 (0.0832) loss_cl: -0.3670 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [18:06:28.502953] Epoch: [189] [240/850] eta: 0:09:09 lr: 0.002179 loss: 0.0221 (0.0231) loss_rec_all: 0.0583 (0.0592) loss_rec_sfr: 0.0878 (0.0836) loss_cl: -0.3675 (-0.3672) time: 0.8645 data: 0.0002 max mem: 29859 [18:06:45.711172] Epoch: [189] [260/850] eta: 0:08:49 lr: 0.002179 loss: 0.0217 (0.0231) loss_rec_all: 0.0579 (0.0593) loss_rec_sfr: 0.0612 (0.0832) loss_cl: -0.3668 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [18:07:03.007419] Epoch: [189] [280/850] eta: 0:08:30 lr: 0.002179 loss: 0.0235 (0.0232) loss_rec_all: 0.0594 (0.0593) loss_rec_sfr: 0.0868 (0.0835) loss_cl: -0.3667 (-0.3671) time: 0.8648 data: 0.0002 max mem: 29859 [18:07:20.242290] Epoch: [189] [300/850] eta: 0:08:11 lr: 0.002178 loss: 0.0229 (0.0232) loss_rec_all: 0.0589 (0.0594) loss_rec_sfr: 0.0916 (0.0837) loss_cl: -0.3673 (-0.3671) time: 0.8617 data: 0.0002 max mem: 29859 [18:07:37.532811] Epoch: [189] [320/850] eta: 0:07:52 lr: 0.002178 loss: 0.0226 (0.0233) loss_rec_all: 0.0589 (0.0594) loss_rec_sfr: 0.0639 (0.0833) loss_cl: -0.3675 (-0.3672) time: 0.8645 data: 0.0003 max mem: 29859 [18:07:54.775420] Epoch: [189] [340/850] eta: 0:07:33 lr: 0.002178 loss: 0.0236 (0.0234) loss_rec_all: 0.0596 (0.0595) loss_rec_sfr: 0.0916 (0.0839) loss_cl: -0.3669 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [18:08:12.047411] Epoch: [189] [360/850] eta: 0:07:15 lr: 0.002178 loss: 0.0224 (0.0234) loss_rec_all: 0.0583 (0.0595) loss_rec_sfr: 0.0836 (0.0840) loss_cl: -0.3665 (-0.3671) time: 0.8635 data: 0.0002 max mem: 29859 [18:08:29.264658] Epoch: [189] [380/850] eta: 0:06:56 lr: 0.002178 loss: 0.0241 (0.0234) loss_rec_all: 0.0599 (0.0595) loss_rec_sfr: 0.0929 (0.0846) loss_cl: -0.3669 (-0.3671) time: 0.8608 data: 0.0002 max mem: 29859 [18:08:46.544554] Epoch: [189] [400/850] eta: 0:06:38 lr: 0.002178 loss: 0.0239 (0.0234) loss_rec_all: 0.0597 (0.0596) loss_rec_sfr: 0.0863 (0.0848) loss_cl: -0.3677 (-0.3671) time: 0.8639 data: 0.0002 max mem: 29859 [18:09:03.780424] Epoch: [189] [420/850] eta: 0:06:20 lr: 0.002178 loss: 0.0228 (0.0234) loss_rec_all: 0.0589 (0.0596) loss_rec_sfr: 0.0936 (0.0850) loss_cl: -0.3679 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [18:09:21.044773] Epoch: [189] [440/850] eta: 0:06:02 lr: 0.002178 loss: 0.0221 (0.0234) loss_rec_all: 0.0584 (0.0595) loss_rec_sfr: 0.0687 (0.0850) loss_cl: -0.3674 (-0.3672) time: 0.8632 data: 0.0002 max mem: 29859 [18:09:38.276020] Epoch: [189] [460/850] eta: 0:05:44 lr: 0.002178 loss: 0.0232 (0.0235) loss_rec_all: 0.0591 (0.0596) loss_rec_sfr: 0.0860 (0.0850) loss_cl: -0.3678 (-0.3672) time: 0.8615 data: 0.0003 max mem: 29859 [18:09:55.546453] Epoch: [189] [480/850] eta: 0:05:26 lr: 0.002178 loss: 0.0226 (0.0234) loss_rec_all: 0.0587 (0.0596) loss_rec_sfr: 0.0883 (0.0851) loss_cl: -0.3675 (-0.3672) time: 0.8635 data: 0.0003 max mem: 29859 [18:10:12.767819] Epoch: [189] [500/850] eta: 0:05:08 lr: 0.002178 loss: 0.0221 (0.0235) loss_rec_all: 0.0584 (0.0596) loss_rec_sfr: 0.0887 (0.0853) loss_cl: -0.3670 (-0.3672) time: 0.8610 data: 0.0002 max mem: 29859 [18:10:30.041089] Epoch: [189] [520/850] eta: 0:04:50 lr: 0.002178 loss: 0.0227 (0.0235) loss_rec_all: 0.0587 (0.0596) loss_rec_sfr: 0.0905 (0.0854) loss_cl: -0.3670 (-0.3672) time: 0.8636 data: 0.0003 max mem: 29859 [18:10:47.266670] Epoch: [189] [540/850] eta: 0:04:32 lr: 0.002178 loss: 0.0210 (0.0234) loss_rec_all: 0.0573 (0.0596) loss_rec_sfr: 0.0635 (0.0852) loss_cl: -0.3668 (-0.3672) time: 0.8612 data: 0.0002 max mem: 29859 [18:11:04.540976] Epoch: [189] [560/850] eta: 0:04:14 lr: 0.002178 loss: 0.0212 (0.0234) loss_rec_all: 0.0575 (0.0595) loss_rec_sfr: 0.0620 (0.0848) loss_cl: -0.3668 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [18:11:21.763188] Epoch: [189] [580/850] eta: 0:03:57 lr: 0.002178 loss: 0.0234 (0.0234) loss_rec_all: 0.0596 (0.0595) loss_rec_sfr: 0.0860 (0.0849) loss_cl: -0.3671 (-0.3672) time: 0.8611 data: 0.0002 max mem: 29859 [18:11:39.034859] Epoch: [189] [600/850] eta: 0:03:39 lr: 0.002177 loss: 0.0224 (0.0234) loss_rec_all: 0.0587 (0.0595) loss_rec_sfr: 0.0743 (0.0848) loss_cl: -0.3677 (-0.3672) time: 0.8635 data: 0.0002 max mem: 29859 [18:11:56.267885] Epoch: [189] [620/850] eta: 0:03:21 lr: 0.002177 loss: 0.0223 (0.0234) loss_rec_all: 0.0584 (0.0595) loss_rec_sfr: 0.0693 (0.0849) loss_cl: -0.3681 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [18:12:13.543887] Epoch: [189] [640/850] eta: 0:03:04 lr: 0.002177 loss: 0.0231 (0.0234) loss_rec_all: 0.0591 (0.0595) loss_rec_sfr: 0.0744 (0.0849) loss_cl: -0.3678 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [18:12:30.774083] Epoch: [189] [660/850] eta: 0:02:46 lr: 0.002177 loss: 0.0224 (0.0234) loss_rec_all: 0.0587 (0.0595) loss_rec_sfr: 0.0889 (0.0850) loss_cl: -0.3671 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [18:12:48.048528] Epoch: [189] [680/850] eta: 0:02:28 lr: 0.002177 loss: 0.0233 (0.0234) loss_rec_all: 0.0593 (0.0595) loss_rec_sfr: 0.0893 (0.0852) loss_cl: -0.3674 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [18:13:05.281563] Epoch: [189] [700/850] eta: 0:02:11 lr: 0.002177 loss: 0.0248 (0.0235) loss_rec_all: 0.0609 (0.0596) loss_rec_sfr: 0.0915 (0.0853) loss_cl: -0.3677 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [18:13:22.545284] Epoch: [189] [720/850] eta: 0:01:53 lr: 0.002177 loss: 0.0251 (0.0236) loss_rec_all: 0.0610 (0.0597) loss_rec_sfr: 0.0937 (0.0854) loss_cl: -0.3677 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [18:13:39.767959] Epoch: [189] [740/850] eta: 0:01:36 lr: 0.002177 loss: 0.0242 (0.0236) loss_rec_all: 0.0603 (0.0597) loss_rec_sfr: 0.0831 (0.0855) loss_cl: -0.3675 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [18:13:57.034602] Epoch: [189] [760/850] eta: 0:01:18 lr: 0.002177 loss: 0.0243 (0.0236) loss_rec_all: 0.0605 (0.0598) loss_rec_sfr: 0.0733 (0.0856) loss_cl: -0.3670 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [18:14:14.266138] Epoch: [189] [780/850] eta: 0:01:01 lr: 0.002177 loss: 0.0242 (0.0237) loss_rec_all: 0.0604 (0.0598) loss_rec_sfr: 0.0664 (0.0855) loss_cl: -0.3669 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [18:14:31.547575] Epoch: [189] [800/850] eta: 0:00:43 lr: 0.002177 loss: 0.0244 (0.0237) loss_rec_all: 0.0605 (0.0599) loss_rec_sfr: 0.0939 (0.0858) loss_cl: -0.3671 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [18:14:48.780067] Epoch: [189] [820/850] eta: 0:00:26 lr: 0.002177 loss: 0.0237 (0.0238) loss_rec_all: 0.0600 (0.0599) loss_rec_sfr: 0.0903 (0.0860) loss_cl: -0.3669 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [18:15:06.038240] Epoch: [189] [840/850] eta: 0:00:08 lr: 0.002177 loss: 0.0225 (0.0237) loss_rec_all: 0.0584 (0.0599) loss_rec_sfr: 0.0677 (0.0859) loss_cl: -0.3671 (-0.3672) time: 0.8629 data: 0.0005 max mem: 29859 [18:15:14.455353] Epoch: [189] [849/850] eta: 0:00:00 lr: 0.002177 loss: 0.0223 (0.0237) loss_rec_all: 0.0583 (0.0598) loss_rec_sfr: 0.0874 (0.0859) loss_cl: -0.3672 (-0.3672) time: 0.8961 data: 0.0335 max mem: 29859 [18:15:14.609088] Epoch: [189] Total time: 0:12:23 (0.8742 s / it) [18:15:14.611542] Averaged stats: lr: 0.002177 loss: 0.0223 (0.0238) loss_rec_all: 0.0583 (0.0599) loss_rec_sfr: 0.0874 (0.0856) loss_cl: -0.3672 (-0.3673) [18:15:14.623443] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [18:15:21.115306] Epoch: [190] [ 0/850] eta: 1:31:57 lr: 0.002177 loss: 0.0210 (0.0210) loss_rec_all: 0.0573 (0.0573) loss_rec_sfr: 0.0584 (0.0584) loss_cl: -0.3665 (-0.3665) time: 6.4910 data: 5.2887 max mem: 29859 [18:15:38.511008] Epoch: [190] [ 20/850] eta: 0:15:44 lr: 0.002177 loss: 0.0214 (0.0216) loss_rec_all: 0.0575 (0.0578) loss_rec_sfr: 0.0751 (0.0816) loss_cl: -0.3674 (-0.3674) time: 0.8697 data: 0.0002 max mem: 29859 [18:15:55.756778] Epoch: [190] [ 40/850] eta: 0:13:32 lr: 0.002176 loss: 0.0219 (0.0221) loss_rec_all: 0.0578 (0.0582) loss_rec_sfr: 0.0846 (0.0834) loss_cl: -0.3676 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [18:16:12.986319] Epoch: [190] [ 60/850] eta: 0:12:35 lr: 0.002176 loss: 0.0211 (0.0221) loss_rec_all: 0.0573 (0.0582) loss_rec_sfr: 0.0600 (0.0824) loss_cl: -0.3672 (-0.3674) time: 0.8614 data: 0.0002 max mem: 29859 [18:16:30.247632] Epoch: [190] [ 80/850] eta: 0:11:58 lr: 0.002176 loss: 0.0237 (0.0224) loss_rec_all: 0.0599 (0.0586) loss_rec_sfr: 0.0855 (0.0834) loss_cl: -0.3669 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [18:16:47.463223] Epoch: [190] [100/850] eta: 0:11:29 lr: 0.002176 loss: 0.0229 (0.0226) loss_rec_all: 0.0586 (0.0587) loss_rec_sfr: 0.1016 (0.0857) loss_cl: -0.3665 (-0.3671) time: 0.8607 data: 0.0002 max mem: 29859 [18:17:04.829659] Epoch: [190] [120/850] eta: 0:11:04 lr: 0.002176 loss: 0.0242 (0.0229) loss_rec_all: 0.0599 (0.0590) loss_rec_sfr: 0.0876 (0.0868) loss_cl: -0.3664 (-0.3669) time: 0.8682 data: 0.0003 max mem: 29859 [18:17:22.095893] Epoch: [190] [140/850] eta: 0:10:41 lr: 0.002176 loss: 0.0236 (0.0231) loss_rec_all: 0.0597 (0.0591) loss_rec_sfr: 0.0919 (0.0879) loss_cl: -0.3673 (-0.3670) time: 0.8633 data: 0.0002 max mem: 29859 [18:17:39.375266] Epoch: [190] [160/850] eta: 0:10:20 lr: 0.002176 loss: 0.0237 (0.0232) loss_rec_all: 0.0596 (0.0593) loss_rec_sfr: 0.0923 (0.0890) loss_cl: -0.3684 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [18:17:56.651572] Epoch: [190] [180/850] eta: 0:09:59 lr: 0.002176 loss: 0.0228 (0.0232) loss_rec_all: 0.0587 (0.0593) loss_rec_sfr: 0.1023 (0.0902) loss_cl: -0.3686 (-0.3673) time: 0.8637 data: 0.0003 max mem: 29859 [18:18:13.996043] Epoch: [190] [200/850] eta: 0:09:40 lr: 0.002176 loss: 0.0244 (0.0234) loss_rec_all: 0.0603 (0.0595) loss_rec_sfr: 0.0888 (0.0901) loss_cl: -0.3680 (-0.3674) time: 0.8672 data: 0.0002 max mem: 29859 [18:18:31.236191] Epoch: [190] [220/850] eta: 0:09:20 lr: 0.002176 loss: 0.0212 (0.0233) loss_rec_all: 0.0574 (0.0594) loss_rec_sfr: 0.0661 (0.0892) loss_cl: -0.3666 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [18:18:48.538930] Epoch: [190] [240/850] eta: 0:09:01 lr: 0.002176 loss: 0.0222 (0.0233) loss_rec_all: 0.0585 (0.0594) loss_rec_sfr: 0.0612 (0.0883) loss_cl: -0.3663 (-0.3672) time: 0.8651 data: 0.0002 max mem: 29859 [18:19:05.837192] Epoch: [190] [260/850] eta: 0:08:42 lr: 0.002176 loss: 0.0220 (0.0233) loss_rec_all: 0.0583 (0.0594) loss_rec_sfr: 0.0673 (0.0881) loss_cl: -0.3667 (-0.3672) time: 0.8649 data: 0.0003 max mem: 29859 [18:19:23.130009] Epoch: [190] [280/850] eta: 0:08:24 lr: 0.002176 loss: 0.0230 (0.0233) loss_rec_all: 0.0589 (0.0594) loss_rec_sfr: 0.0681 (0.0882) loss_cl: -0.3667 (-0.3671) time: 0.8646 data: 0.0002 max mem: 29859 [18:19:40.400430] Epoch: [190] [300/850] eta: 0:08:05 lr: 0.002176 loss: 0.0233 (0.0233) loss_rec_all: 0.0592 (0.0594) loss_rec_sfr: 0.0842 (0.0882) loss_cl: -0.3673 (-0.3672) time: 0.8634 data: 0.0002 max mem: 29859 [18:19:57.770538] Epoch: [190] [320/850] eta: 0:07:47 lr: 0.002176 loss: 0.0227 (0.0233) loss_rec_all: 0.0589 (0.0594) loss_rec_sfr: 0.0747 (0.0883) loss_cl: -0.3679 (-0.3672) time: 0.8684 data: 0.0003 max mem: 29859 [18:20:15.019240] Epoch: [190] [340/850] eta: 0:07:29 lr: 0.002175 loss: 0.0244 (0.0234) loss_rec_all: 0.0605 (0.0595) loss_rec_sfr: 0.0974 (0.0887) loss_cl: -0.3683 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [18:20:32.328449] Epoch: [190] [360/850] eta: 0:07:11 lr: 0.002175 loss: 0.0237 (0.0235) loss_rec_all: 0.0596 (0.0596) loss_rec_sfr: 0.0786 (0.0887) loss_cl: -0.3675 (-0.3673) time: 0.8654 data: 0.0003 max mem: 29859 [18:20:49.666402] Epoch: [190] [380/850] eta: 0:06:53 lr: 0.002175 loss: 0.0234 (0.0235) loss_rec_all: 0.0598 (0.0596) loss_rec_sfr: 0.0710 (0.0881) loss_cl: -0.3673 (-0.3673) time: 0.8668 data: 0.0003 max mem: 29859 [18:21:06.950314] Epoch: [190] [400/850] eta: 0:06:35 lr: 0.002175 loss: 0.0237 (0.0235) loss_rec_all: 0.0599 (0.0596) loss_rec_sfr: 0.0602 (0.0878) loss_cl: -0.3668 (-0.3672) time: 0.8642 data: 0.0002 max mem: 29859 [18:21:24.200081] Epoch: [190] [420/850] eta: 0:06:17 lr: 0.002175 loss: 0.0223 (0.0235) loss_rec_all: 0.0586 (0.0596) loss_rec_sfr: 0.0595 (0.0873) loss_cl: -0.3670 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [18:21:41.573640] Epoch: [190] [440/850] eta: 0:05:59 lr: 0.002175 loss: 0.0219 (0.0234) loss_rec_all: 0.0582 (0.0595) loss_rec_sfr: 0.0685 (0.0869) loss_cl: -0.3670 (-0.3672) time: 0.8686 data: 0.0003 max mem: 29859 [18:21:58.814633] Epoch: [190] [460/850] eta: 0:05:41 lr: 0.002175 loss: 0.0228 (0.0234) loss_rec_all: 0.0591 (0.0595) loss_rec_sfr: 0.0846 (0.0870) loss_cl: -0.3674 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [18:22:16.093440] Epoch: [190] [480/850] eta: 0:05:24 lr: 0.002175 loss: 0.0211 (0.0234) loss_rec_all: 0.0574 (0.0595) loss_rec_sfr: 0.0663 (0.0867) loss_cl: -0.3676 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [18:22:33.432155] Epoch: [190] [500/850] eta: 0:05:06 lr: 0.002175 loss: 0.0225 (0.0234) loss_rec_all: 0.0586 (0.0595) loss_rec_sfr: 0.0631 (0.0863) loss_cl: -0.3670 (-0.3672) time: 0.8669 data: 0.0003 max mem: 29859 [18:22:50.726865] Epoch: [190] [520/850] eta: 0:04:48 lr: 0.002175 loss: 0.0230 (0.0234) loss_rec_all: 0.0591 (0.0596) loss_rec_sfr: 0.0719 (0.0861) loss_cl: -0.3667 (-0.3672) time: 0.8647 data: 0.0002 max mem: 29859 [18:23:07.974990] Epoch: [190] [540/850] eta: 0:04:31 lr: 0.002175 loss: 0.0230 (0.0234) loss_rec_all: 0.0588 (0.0595) loss_rec_sfr: 0.0720 (0.0861) loss_cl: -0.3668 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [18:23:25.324116] Epoch: [190] [560/850] eta: 0:04:13 lr: 0.002175 loss: 0.0224 (0.0234) loss_rec_all: 0.0585 (0.0595) loss_rec_sfr: 0.0739 (0.0860) loss_cl: -0.3674 (-0.3672) time: 0.8673 data: 0.0003 max mem: 29859 [18:23:42.616878] Epoch: [190] [580/850] eta: 0:03:56 lr: 0.002175 loss: 0.0216 (0.0234) loss_rec_all: 0.0578 (0.0595) loss_rec_sfr: 0.0686 (0.0858) loss_cl: -0.3677 (-0.3672) time: 0.8646 data: 0.0003 max mem: 29859 [18:23:59.904062] Epoch: [190] [600/850] eta: 0:03:38 lr: 0.002175 loss: 0.0211 (0.0233) loss_rec_all: 0.0574 (0.0594) loss_rec_sfr: 0.0651 (0.0855) loss_cl: -0.3677 (-0.3672) time: 0.8643 data: 0.0002 max mem: 29859 [18:24:17.201671] Epoch: [190] [620/850] eta: 0:03:20 lr: 0.002175 loss: 0.0209 (0.0233) loss_rec_all: 0.0572 (0.0594) loss_rec_sfr: 0.0648 (0.0854) loss_cl: -0.3679 (-0.3673) time: 0.8648 data: 0.0003 max mem: 29859 [18:24:34.562672] Epoch: [190] [640/850] eta: 0:03:03 lr: 0.002174 loss: 0.0221 (0.0233) loss_rec_all: 0.0583 (0.0594) loss_rec_sfr: 0.0662 (0.0852) loss_cl: -0.3677 (-0.3673) time: 0.8680 data: 0.0003 max mem: 29859 [18:24:51.820571] Epoch: [190] [660/850] eta: 0:02:45 lr: 0.002174 loss: 0.0216 (0.0233) loss_rec_all: 0.0575 (0.0594) loss_rec_sfr: 0.0900 (0.0854) loss_cl: -0.3673 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [18:25:09.137362] Epoch: [190] [680/850] eta: 0:02:28 lr: 0.002174 loss: 0.0208 (0.0232) loss_rec_all: 0.0567 (0.0593) loss_rec_sfr: 0.0637 (0.0851) loss_cl: -0.3673 (-0.3673) time: 0.8657 data: 0.0003 max mem: 29859 [18:25:26.377769] Epoch: [190] [700/850] eta: 0:02:10 lr: 0.002174 loss: 0.0224 (0.0232) loss_rec_all: 0.0584 (0.0593) loss_rec_sfr: 0.0866 (0.0851) loss_cl: -0.3669 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [18:25:43.705312] Epoch: [190] [720/850] eta: 0:01:53 lr: 0.002174 loss: 0.0224 (0.0232) loss_rec_all: 0.0586 (0.0594) loss_rec_sfr: 0.0720 (0.0851) loss_cl: -0.3667 (-0.3672) time: 0.8663 data: 0.0002 max mem: 29859 [18:26:01.008153] Epoch: [190] [740/850] eta: 0:01:35 lr: 0.002174 loss: 0.0245 (0.0233) loss_rec_all: 0.0604 (0.0594) loss_rec_sfr: 0.1067 (0.0856) loss_cl: -0.3669 (-0.3672) time: 0.8651 data: 0.0002 max mem: 29859 [18:26:18.295644] Epoch: [190] [760/850] eta: 0:01:18 lr: 0.002174 loss: 0.0238 (0.0233) loss_rec_all: 0.0599 (0.0594) loss_rec_sfr: 0.0876 (0.0859) loss_cl: -0.3673 (-0.3672) time: 0.8643 data: 0.0002 max mem: 29859 [18:26:35.547926] Epoch: [190] [780/850] eta: 0:01:01 lr: 0.002174 loss: 0.0221 (0.0233) loss_rec_all: 0.0585 (0.0594) loss_rec_sfr: 0.0698 (0.0857) loss_cl: -0.3678 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [18:26:52.886643] Epoch: [190] [800/850] eta: 0:00:43 lr: 0.002174 loss: 0.0221 (0.0233) loss_rec_all: 0.0583 (0.0594) loss_rec_sfr: 0.0631 (0.0855) loss_cl: -0.3677 (-0.3672) time: 0.8669 data: 0.0003 max mem: 29859 [18:27:10.162701] Epoch: [190] [820/850] eta: 0:00:26 lr: 0.002174 loss: 0.0220 (0.0233) loss_rec_all: 0.0582 (0.0594) loss_rec_sfr: 0.0669 (0.0855) loss_cl: -0.3683 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [18:27:27.471865] Epoch: [190] [840/850] eta: 0:00:08 lr: 0.002174 loss: 0.0225 (0.0233) loss_rec_all: 0.0586 (0.0594) loss_rec_sfr: 0.0916 (0.0856) loss_cl: -0.3678 (-0.3673) time: 0.8654 data: 0.0007 max mem: 29859 [18:27:35.974755] Epoch: [190] [849/850] eta: 0:00:00 lr: 0.002174 loss: 0.0221 (0.0233) loss_rec_all: 0.0584 (0.0594) loss_rec_sfr: 0.0686 (0.0855) loss_cl: -0.3672 (-0.3673) time: 0.9017 data: 0.0378 max mem: 29859 [18:27:36.099955] Epoch: [190] Total time: 0:12:21 (0.8723 s / it) [18:27:36.117367] Averaged stats: lr: 0.002174 loss: 0.0221 (0.0231) loss_rec_all: 0.0584 (0.0593) loss_rec_sfr: 0.0686 (0.0852) loss_cl: -0.3672 (-0.3672) [18:27:36.144092] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [18:27:42.531503] Epoch: [191] [ 0/850] eta: 1:30:28 lr: 0.002174 loss: 0.0221 (0.0221) loss_rec_all: 0.0583 (0.0583) loss_rec_sfr: 0.0652 (0.0652) loss_cl: -0.3666 (-0.3666) time: 6.3864 data: 5.5303 max mem: 29859 [18:27:59.737510] Epoch: [191] [ 20/850] eta: 0:15:32 lr: 0.002174 loss: 0.0228 (0.0230) loss_rec_all: 0.0587 (0.0591) loss_rec_sfr: 0.0912 (0.0918) loss_cl: -0.3673 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [18:28:17.002531] Epoch: [191] [ 40/850] eta: 0:13:27 lr: 0.002174 loss: 0.0208 (0.0228) loss_rec_all: 0.0572 (0.0589) loss_rec_sfr: 0.0648 (0.0864) loss_cl: -0.3674 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [18:28:34.275138] Epoch: [191] [ 60/850] eta: 0:12:32 lr: 0.002174 loss: 0.0219 (0.0229) loss_rec_all: 0.0579 (0.0590) loss_rec_sfr: 0.0942 (0.0888) loss_cl: -0.3673 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [18:28:51.560339] Epoch: [191] [ 80/850] eta: 0:11:56 lr: 0.002173 loss: 0.0213 (0.0226) loss_rec_all: 0.0575 (0.0587) loss_rec_sfr: 0.0627 (0.0864) loss_cl: -0.3673 (-0.3672) time: 0.8642 data: 0.0002 max mem: 29859 [18:29:08.806883] Epoch: [191] [100/850] eta: 0:11:28 lr: 0.002173 loss: 0.0234 (0.0229) loss_rec_all: 0.0597 (0.0590) loss_rec_sfr: 0.0760 (0.0869) loss_cl: -0.3672 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [18:29:26.095375] Epoch: [191] [120/850] eta: 0:11:03 lr: 0.002173 loss: 0.0240 (0.0233) loss_rec_all: 0.0599 (0.0594) loss_rec_sfr: 0.0902 (0.0883) loss_cl: -0.3670 (-0.3672) time: 0.8644 data: 0.0002 max mem: 29859 [18:29:43.354895] Epoch: [191] [140/850] eta: 0:10:40 lr: 0.002173 loss: 0.0254 (0.0237) loss_rec_all: 0.0611 (0.0598) loss_rec_sfr: 0.0979 (0.0899) loss_cl: -0.3673 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [18:30:00.640492] Epoch: [191] [160/850] eta: 0:10:19 lr: 0.002173 loss: 0.0228 (0.0237) loss_rec_all: 0.0590 (0.0598) loss_rec_sfr: 0.0698 (0.0887) loss_cl: -0.3669 (-0.3672) time: 0.8642 data: 0.0002 max mem: 29859 [18:30:17.901030] Epoch: [191] [180/850] eta: 0:09:58 lr: 0.002173 loss: 0.0224 (0.0237) loss_rec_all: 0.0583 (0.0598) loss_rec_sfr: 0.0709 (0.0883) loss_cl: -0.3670 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [18:30:35.205909] Epoch: [191] [200/850] eta: 0:09:39 lr: 0.002173 loss: 0.0217 (0.0236) loss_rec_all: 0.0579 (0.0597) loss_rec_sfr: 0.0670 (0.0877) loss_cl: -0.3675 (-0.3672) time: 0.8652 data: 0.0002 max mem: 29859 [18:30:52.452908] Epoch: [191] [220/850] eta: 0:09:19 lr: 0.002173 loss: 0.0217 (0.0235) loss_rec_all: 0.0581 (0.0596) loss_rec_sfr: 0.0673 (0.0867) loss_cl: -0.3673 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [18:31:09.743557] Epoch: [191] [240/850] eta: 0:09:00 lr: 0.002173 loss: 0.0214 (0.0234) loss_rec_all: 0.0575 (0.0595) loss_rec_sfr: 0.0626 (0.0861) loss_cl: -0.3669 (-0.3672) time: 0.8645 data: 0.0003 max mem: 29859 [18:31:26.993837] Epoch: [191] [260/850] eta: 0:08:41 lr: 0.002173 loss: 0.0211 (0.0233) loss_rec_all: 0.0573 (0.0594) loss_rec_sfr: 0.0662 (0.0855) loss_cl: -0.3672 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [18:31:44.285140] Epoch: [191] [280/850] eta: 0:08:23 lr: 0.002173 loss: 0.0214 (0.0232) loss_rec_all: 0.0577 (0.0593) loss_rec_sfr: 0.0684 (0.0856) loss_cl: -0.3679 (-0.3672) time: 0.8645 data: 0.0002 max mem: 29859 [18:32:01.536083] Epoch: [191] [300/850] eta: 0:08:04 lr: 0.002173 loss: 0.0231 (0.0232) loss_rec_all: 0.0592 (0.0594) loss_rec_sfr: 0.0723 (0.0855) loss_cl: -0.3679 (-0.3673) time: 0.8625 data: 0.0003 max mem: 29859 [18:32:18.819690] Epoch: [191] [320/850] eta: 0:07:46 lr: 0.002173 loss: 0.0209 (0.0231) loss_rec_all: 0.0571 (0.0593) loss_rec_sfr: 0.0745 (0.0855) loss_cl: -0.3676 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [18:32:36.069202] Epoch: [191] [340/850] eta: 0:07:28 lr: 0.002173 loss: 0.0224 (0.0231) loss_rec_all: 0.0583 (0.0593) loss_rec_sfr: 0.0979 (0.0861) loss_cl: -0.3671 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [18:32:53.364018] Epoch: [191] [360/850] eta: 0:07:10 lr: 0.002172 loss: 0.0220 (0.0231) loss_rec_all: 0.0579 (0.0592) loss_rec_sfr: 0.0661 (0.0859) loss_cl: -0.3669 (-0.3672) time: 0.8647 data: 0.0002 max mem: 29859 [18:33:10.609752] Epoch: [191] [380/850] eta: 0:06:52 lr: 0.002172 loss: 0.0215 (0.0231) loss_rec_all: 0.0576 (0.0592) loss_rec_sfr: 0.0639 (0.0857) loss_cl: -0.3667 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [18:33:27.891136] Epoch: [191] [400/850] eta: 0:06:34 lr: 0.002172 loss: 0.0224 (0.0230) loss_rec_all: 0.0588 (0.0592) loss_rec_sfr: 0.0882 (0.0860) loss_cl: -0.3674 (-0.3672) time: 0.8640 data: 0.0002 max mem: 29859 [18:33:45.132066] Epoch: [191] [420/850] eta: 0:06:16 lr: 0.002172 loss: 0.0204 (0.0229) loss_rec_all: 0.0568 (0.0591) loss_rec_sfr: 0.0609 (0.0852) loss_cl: -0.3679 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [18:34:02.414399] Epoch: [191] [440/850] eta: 0:05:59 lr: 0.002172 loss: 0.0207 (0.0229) loss_rec_all: 0.0571 (0.0590) loss_rec_sfr: 0.0649 (0.0847) loss_cl: -0.3677 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [18:34:19.661742] Epoch: [191] [460/850] eta: 0:05:41 lr: 0.002172 loss: 0.0220 (0.0229) loss_rec_all: 0.0581 (0.0590) loss_rec_sfr: 0.0895 (0.0849) loss_cl: -0.3676 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [18:34:36.942289] Epoch: [191] [480/850] eta: 0:05:23 lr: 0.002172 loss: 0.0211 (0.0228) loss_rec_all: 0.0572 (0.0590) loss_rec_sfr: 0.0871 (0.0849) loss_cl: -0.3673 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [18:34:54.181239] Epoch: [191] [500/850] eta: 0:05:05 lr: 0.002172 loss: 0.0216 (0.0228) loss_rec_all: 0.0575 (0.0590) loss_rec_sfr: 0.0663 (0.0849) loss_cl: -0.3664 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [18:35:11.466113] Epoch: [191] [520/850] eta: 0:04:48 lr: 0.002172 loss: 0.0216 (0.0228) loss_rec_all: 0.0579 (0.0590) loss_rec_sfr: 0.0598 (0.0844) loss_cl: -0.3667 (-0.3672) time: 0.8642 data: 0.0002 max mem: 29859 [18:35:28.704177] Epoch: [191] [540/850] eta: 0:04:30 lr: 0.002172 loss: 0.0233 (0.0229) loss_rec_all: 0.0596 (0.0590) loss_rec_sfr: 0.0898 (0.0845) loss_cl: -0.3673 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [18:35:45.983846] Epoch: [191] [560/850] eta: 0:04:13 lr: 0.002172 loss: 0.0214 (0.0228) loss_rec_all: 0.0577 (0.0590) loss_rec_sfr: 0.0619 (0.0843) loss_cl: -0.3676 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [18:36:03.241046] Epoch: [191] [580/850] eta: 0:03:55 lr: 0.002172 loss: 0.0239 (0.0229) loss_rec_all: 0.0600 (0.0590) loss_rec_sfr: 0.0882 (0.0847) loss_cl: -0.3672 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [18:36:20.528075] Epoch: [191] [600/850] eta: 0:03:38 lr: 0.002172 loss: 0.0243 (0.0229) loss_rec_all: 0.0601 (0.0591) loss_rec_sfr: 0.1023 (0.0852) loss_cl: -0.3670 (-0.3672) time: 0.8643 data: 0.0002 max mem: 29859 [18:36:37.780657] Epoch: [191] [620/850] eta: 0:03:20 lr: 0.002172 loss: 0.0229 (0.0230) loss_rec_all: 0.0591 (0.0591) loss_rec_sfr: 0.0747 (0.0850) loss_cl: -0.3668 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [18:36:55.060977] Epoch: [191] [640/850] eta: 0:03:03 lr: 0.002172 loss: 0.0239 (0.0230) loss_rec_all: 0.0599 (0.0591) loss_rec_sfr: 0.0935 (0.0855) loss_cl: -0.3674 (-0.3672) time: 0.8640 data: 0.0002 max mem: 29859 [18:37:12.313299] Epoch: [191] [660/850] eta: 0:02:45 lr: 0.002171 loss: 0.0231 (0.0230) loss_rec_all: 0.0591 (0.0591) loss_rec_sfr: 0.0853 (0.0858) loss_cl: -0.3680 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [18:37:29.593973] Epoch: [191] [680/850] eta: 0:02:28 lr: 0.002171 loss: 0.0231 (0.0230) loss_rec_all: 0.0592 (0.0592) loss_rec_sfr: 0.0667 (0.0859) loss_cl: -0.3680 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [18:37:46.845050] Epoch: [191] [700/850] eta: 0:02:10 lr: 0.002171 loss: 0.0215 (0.0230) loss_rec_all: 0.0576 (0.0591) loss_rec_sfr: 0.0727 (0.0860) loss_cl: -0.3680 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [18:38:04.113024] Epoch: [191] [720/850] eta: 0:01:53 lr: 0.002171 loss: 0.0232 (0.0230) loss_rec_all: 0.0591 (0.0591) loss_rec_sfr: 0.0849 (0.0861) loss_cl: -0.3666 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [18:38:21.341277] Epoch: [191] [740/850] eta: 0:01:35 lr: 0.002171 loss: 0.0224 (0.0230) loss_rec_all: 0.0585 (0.0591) loss_rec_sfr: 0.0658 (0.0861) loss_cl: -0.3662 (-0.3672) time: 0.8614 data: 0.0002 max mem: 29859 [18:38:38.601401] Epoch: [191] [760/850] eta: 0:01:18 lr: 0.002171 loss: 0.0226 (0.0230) loss_rec_all: 0.0589 (0.0591) loss_rec_sfr: 0.0660 (0.0860) loss_cl: -0.3663 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [18:38:55.823271] Epoch: [191] [780/850] eta: 0:01:00 lr: 0.002171 loss: 0.0234 (0.0231) loss_rec_all: 0.0596 (0.0592) loss_rec_sfr: 0.0682 (0.0859) loss_cl: -0.3678 (-0.3672) time: 0.8611 data: 0.0002 max mem: 29859 [18:39:13.094031] Epoch: [191] [800/850] eta: 0:00:43 lr: 0.002171 loss: 0.0232 (0.0231) loss_rec_all: 0.0594 (0.0592) loss_rec_sfr: 0.0651 (0.0858) loss_cl: -0.3686 (-0.3672) time: 0.8635 data: 0.0002 max mem: 29859 [18:39:30.335594] Epoch: [191] [820/850] eta: 0:00:26 lr: 0.002171 loss: 0.0236 (0.0231) loss_rec_all: 0.0599 (0.0592) loss_rec_sfr: 0.0692 (0.0857) loss_cl: -0.3675 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [18:39:47.642670] Epoch: [191] [840/850] eta: 0:00:08 lr: 0.002171 loss: 0.0233 (0.0231) loss_rec_all: 0.0595 (0.0593) loss_rec_sfr: 0.0923 (0.0860) loss_cl: -0.3678 (-0.3673) time: 0.8653 data: 0.0017 max mem: 29859 [18:39:55.396383] Epoch: [191] [849/850] eta: 0:00:00 lr: 0.002171 loss: 0.0235 (0.0232) loss_rec_all: 0.0595 (0.0593) loss_rec_sfr: 0.0925 (0.0861) loss_cl: -0.3674 (-0.3673) time: 0.8647 data: 0.0016 max mem: 29859 [18:39:55.527594] Epoch: [191] Total time: 0:12:19 (0.8699 s / it) [18:39:55.530129] Averaged stats: lr: 0.002171 loss: 0.0235 (0.0232) loss_rec_all: 0.0595 (0.0593) loss_rec_sfr: 0.0925 (0.0850) loss_cl: -0.3674 (-0.3673) [18:39:55.542140] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [18:40:00.370107] Epoch: [192] [ 0/850] eta: 1:08:21 lr: 0.002171 loss: 0.0210 (0.0210) loss_rec_all: 0.0571 (0.0571) loss_rec_sfr: 0.0715 (0.0715) loss_cl: -0.3666 (-0.3666) time: 4.8258 data: 3.9664 max mem: 29859 [18:40:18.415252] Epoch: [192] [ 20/850] eta: 0:15:03 lr: 0.002171 loss: 0.0233 (0.0234) loss_rec_all: 0.0592 (0.0595) loss_rec_sfr: 0.0890 (0.0937) loss_cl: -0.3673 (-0.3671) time: 0.9022 data: 0.0003 max mem: 29859 [18:40:35.695467] Epoch: [192] [ 40/850] eta: 0:13:13 lr: 0.002171 loss: 0.0229 (0.0232) loss_rec_all: 0.0591 (0.0593) loss_rec_sfr: 0.0674 (0.0887) loss_cl: -0.3670 (-0.3671) time: 0.8640 data: 0.0002 max mem: 29859 [18:40:52.937064] Epoch: [192] [ 60/850] eta: 0:12:23 lr: 0.002171 loss: 0.0224 (0.0232) loss_rec_all: 0.0586 (0.0593) loss_rec_sfr: 0.0854 (0.0891) loss_cl: -0.3671 (-0.3671) time: 0.8620 data: 0.0002 max mem: 29859 [18:41:10.213613] Epoch: [192] [ 80/850] eta: 0:11:49 lr: 0.002171 loss: 0.0214 (0.0231) loss_rec_all: 0.0578 (0.0592) loss_rec_sfr: 0.0677 (0.0871) loss_cl: -0.3673 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [18:41:27.457817] Epoch: [192] [100/850] eta: 0:11:22 lr: 0.002170 loss: 0.0212 (0.0230) loss_rec_all: 0.0576 (0.0591) loss_rec_sfr: 0.0684 (0.0863) loss_cl: -0.3674 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [18:41:44.743483] Epoch: [192] [120/850] eta: 0:10:58 lr: 0.002170 loss: 0.0208 (0.0228) loss_rec_all: 0.0571 (0.0590) loss_rec_sfr: 0.0588 (0.0844) loss_cl: -0.3669 (-0.3672) time: 0.8642 data: 0.0002 max mem: 29859 [18:42:01.990651] Epoch: [192] [140/850] eta: 0:10:36 lr: 0.002170 loss: 0.0216 (0.0227) loss_rec_all: 0.0576 (0.0589) loss_rec_sfr: 0.0623 (0.0835) loss_cl: -0.3670 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [18:42:19.269983] Epoch: [192] [160/850] eta: 0:10:15 lr: 0.002170 loss: 0.0221 (0.0228) loss_rec_all: 0.0582 (0.0589) loss_rec_sfr: 0.0683 (0.0832) loss_cl: -0.3664 (-0.3671) time: 0.8639 data: 0.0002 max mem: 29859 [18:42:36.532995] Epoch: [192] [180/850] eta: 0:09:55 lr: 0.002170 loss: 0.0231 (0.0228) loss_rec_all: 0.0592 (0.0590) loss_rec_sfr: 0.0896 (0.0843) loss_cl: -0.3672 (-0.3671) time: 0.8631 data: 0.0002 max mem: 29859 [18:42:53.817283] Epoch: [192] [200/850] eta: 0:09:36 lr: 0.002170 loss: 0.0208 (0.0228) loss_rec_all: 0.0571 (0.0589) loss_rec_sfr: 0.0897 (0.0846) loss_cl: -0.3680 (-0.3672) time: 0.8642 data: 0.0002 max mem: 29859 [18:43:11.074377] Epoch: [192] [220/850] eta: 0:09:17 lr: 0.002170 loss: 0.0228 (0.0228) loss_rec_all: 0.0589 (0.0589) loss_rec_sfr: 0.0873 (0.0851) loss_cl: -0.3679 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [18:43:28.368077] Epoch: [192] [240/850] eta: 0:08:58 lr: 0.002170 loss: 0.0232 (0.0228) loss_rec_all: 0.0590 (0.0589) loss_rec_sfr: 0.0977 (0.0859) loss_cl: -0.3673 (-0.3672) time: 0.8646 data: 0.0002 max mem: 29859 [18:43:45.630176] Epoch: [192] [260/850] eta: 0:08:40 lr: 0.002170 loss: 0.0216 (0.0228) loss_rec_all: 0.0578 (0.0590) loss_rec_sfr: 0.0878 (0.0857) loss_cl: -0.3666 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [18:44:02.932266] Epoch: [192] [280/850] eta: 0:08:21 lr: 0.002170 loss: 0.0218 (0.0228) loss_rec_all: 0.0581 (0.0590) loss_rec_sfr: 0.0692 (0.0856) loss_cl: -0.3664 (-0.3671) time: 0.8651 data: 0.0003 max mem: 29859 [18:44:20.179096] Epoch: [192] [300/850] eta: 0:08:03 lr: 0.002170 loss: 0.0223 (0.0229) loss_rec_all: 0.0583 (0.0590) loss_rec_sfr: 0.0656 (0.0855) loss_cl: -0.3670 (-0.3671) time: 0.8623 data: 0.0002 max mem: 29859 [18:44:37.457628] Epoch: [192] [320/850] eta: 0:07:45 lr: 0.002170 loss: 0.0231 (0.0229) loss_rec_all: 0.0589 (0.0590) loss_rec_sfr: 0.0857 (0.0856) loss_cl: -0.3676 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [18:44:54.705239] Epoch: [192] [340/850] eta: 0:07:27 lr: 0.002170 loss: 0.0231 (0.0230) loss_rec_all: 0.0592 (0.0591) loss_rec_sfr: 0.0891 (0.0858) loss_cl: -0.3683 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [18:45:11.986937] Epoch: [192] [360/850] eta: 0:07:09 lr: 0.002170 loss: 0.0231 (0.0231) loss_rec_all: 0.0595 (0.0592) loss_rec_sfr: 0.0707 (0.0858) loss_cl: -0.3681 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [18:45:29.235955] Epoch: [192] [380/850] eta: 0:06:51 lr: 0.002170 loss: 0.0239 (0.0232) loss_rec_all: 0.0601 (0.0593) loss_rec_sfr: 0.0711 (0.0858) loss_cl: -0.3674 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [18:45:46.521391] Epoch: [192] [400/850] eta: 0:06:33 lr: 0.002169 loss: 0.0242 (0.0232) loss_rec_all: 0.0604 (0.0594) loss_rec_sfr: 0.0756 (0.0858) loss_cl: -0.3672 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [18:46:03.766320] Epoch: [192] [420/850] eta: 0:06:16 lr: 0.002169 loss: 0.0245 (0.0233) loss_rec_all: 0.0607 (0.0595) loss_rec_sfr: 0.0889 (0.0862) loss_cl: -0.3667 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [18:46:21.061632] Epoch: [192] [440/850] eta: 0:05:58 lr: 0.002169 loss: 0.0246 (0.0235) loss_rec_all: 0.0607 (0.0596) loss_rec_sfr: 0.0807 (0.0861) loss_cl: -0.3666 (-0.3672) time: 0.8647 data: 0.0002 max mem: 29859 [18:46:38.304493] Epoch: [192] [460/850] eta: 0:05:40 lr: 0.002169 loss: 0.0246 (0.0235) loss_rec_all: 0.0607 (0.0596) loss_rec_sfr: 0.0727 (0.0862) loss_cl: -0.3672 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [18:46:55.615662] Epoch: [192] [480/850] eta: 0:05:23 lr: 0.002169 loss: 0.0233 (0.0236) loss_rec_all: 0.0594 (0.0597) loss_rec_sfr: 0.0883 (0.0862) loss_cl: -0.3675 (-0.3672) time: 0.8654 data: 0.0003 max mem: 29859 [18:47:12.860800] Epoch: [192] [500/850] eta: 0:05:05 lr: 0.002169 loss: 0.0217 (0.0235) loss_rec_all: 0.0581 (0.0597) loss_rec_sfr: 0.0709 (0.0862) loss_cl: -0.3681 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [18:47:30.155137] Epoch: [192] [520/850] eta: 0:04:47 lr: 0.002169 loss: 0.0215 (0.0235) loss_rec_all: 0.0579 (0.0596) loss_rec_sfr: 0.0584 (0.0859) loss_cl: -0.3677 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [18:47:47.417055] Epoch: [192] [540/850] eta: 0:04:30 lr: 0.002169 loss: 0.0214 (0.0234) loss_rec_all: 0.0577 (0.0596) loss_rec_sfr: 0.0620 (0.0856) loss_cl: -0.3675 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [18:48:04.708926] Epoch: [192] [560/850] eta: 0:04:12 lr: 0.002169 loss: 0.0225 (0.0234) loss_rec_all: 0.0588 (0.0595) loss_rec_sfr: 0.0637 (0.0855) loss_cl: -0.3671 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [18:48:21.957219] Epoch: [192] [580/850] eta: 0:03:55 lr: 0.002169 loss: 0.0214 (0.0234) loss_rec_all: 0.0575 (0.0595) loss_rec_sfr: 0.0643 (0.0854) loss_cl: -0.3665 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [18:48:39.247245] Epoch: [192] [600/850] eta: 0:03:37 lr: 0.002169 loss: 0.0212 (0.0233) loss_rec_all: 0.0575 (0.0595) loss_rec_sfr: 0.0645 (0.0852) loss_cl: -0.3669 (-0.3672) time: 0.8644 data: 0.0002 max mem: 29859 [18:48:56.493483] Epoch: [192] [620/850] eta: 0:03:20 lr: 0.002169 loss: 0.0214 (0.0233) loss_rec_all: 0.0573 (0.0594) loss_rec_sfr: 0.0850 (0.0852) loss_cl: -0.3666 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [18:49:13.774632] Epoch: [192] [640/850] eta: 0:03:02 lr: 0.002169 loss: 0.0218 (0.0233) loss_rec_all: 0.0577 (0.0594) loss_rec_sfr: 0.0662 (0.0851) loss_cl: -0.3676 (-0.3672) time: 0.8640 data: 0.0002 max mem: 29859 [18:49:31.016244] Epoch: [192] [660/850] eta: 0:02:45 lr: 0.002169 loss: 0.0211 (0.0232) loss_rec_all: 0.0575 (0.0594) loss_rec_sfr: 0.0586 (0.0851) loss_cl: -0.3679 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [18:49:48.299600] Epoch: [192] [680/850] eta: 0:02:27 lr: 0.002168 loss: 0.0218 (0.0232) loss_rec_all: 0.0582 (0.0594) loss_rec_sfr: 0.0637 (0.0848) loss_cl: -0.3680 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [18:50:05.537214] Epoch: [192] [700/850] eta: 0:02:10 lr: 0.002168 loss: 0.0230 (0.0232) loss_rec_all: 0.0591 (0.0594) loss_rec_sfr: 0.0895 (0.0849) loss_cl: -0.3676 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [18:50:22.813577] Epoch: [192] [720/850] eta: 0:01:53 lr: 0.002168 loss: 0.0231 (0.0232) loss_rec_all: 0.0591 (0.0594) loss_rec_sfr: 0.0827 (0.0849) loss_cl: -0.3671 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [18:50:40.061723] Epoch: [192] [740/850] eta: 0:01:35 lr: 0.002168 loss: 0.0237 (0.0233) loss_rec_all: 0.0597 (0.0594) loss_rec_sfr: 0.0916 (0.0850) loss_cl: -0.3666 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [18:50:57.340677] Epoch: [192] [760/850] eta: 0:01:18 lr: 0.002168 loss: 0.0244 (0.0233) loss_rec_all: 0.0606 (0.0595) loss_rec_sfr: 0.0697 (0.0850) loss_cl: -0.3670 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [18:51:14.600322] Epoch: [192] [780/850] eta: 0:01:00 lr: 0.002168 loss: 0.0249 (0.0234) loss_rec_all: 0.0607 (0.0595) loss_rec_sfr: 0.0686 (0.0850) loss_cl: -0.3671 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [18:51:31.876475] Epoch: [192] [800/850] eta: 0:00:43 lr: 0.002168 loss: 0.0253 (0.0235) loss_rec_all: 0.0611 (0.0596) loss_rec_sfr: 0.0721 (0.0851) loss_cl: -0.3673 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [18:51:49.118690] Epoch: [192] [820/850] eta: 0:00:26 lr: 0.002168 loss: 0.0237 (0.0235) loss_rec_all: 0.0601 (0.0596) loss_rec_sfr: 0.0655 (0.0851) loss_cl: -0.3675 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [18:52:06.397137] Epoch: [192] [840/850] eta: 0:00:08 lr: 0.002168 loss: 0.0256 (0.0236) loss_rec_all: 0.0618 (0.0597) loss_rec_sfr: 0.0892 (0.0852) loss_cl: -0.3678 (-0.3673) time: 0.8639 data: 0.0005 max mem: 29859 [18:52:17.073951] Epoch: [192] [849/850] eta: 0:00:00 lr: 0.002168 loss: 0.0247 (0.0236) loss_rec_all: 0.0606 (0.0597) loss_rec_sfr: 0.0827 (0.0851) loss_cl: -0.3678 (-0.3673) time: 1.0097 data: 0.0004 max mem: 29859 [18:52:17.214898] Epoch: [192] Total time: 0:12:21 (0.8726 s / it) [18:52:17.217395] Averaged stats: lr: 0.002168 loss: 0.0247 (0.0236) loss_rec_all: 0.0606 (0.0597) loss_rec_sfr: 0.0827 (0.0857) loss_cl: -0.3678 (-0.3673) [18:52:17.229872] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [18:52:24.351588] Epoch: [193] [ 0/850] eta: 1:40:52 lr: 0.002168 loss: 0.0301 (0.0301) loss_rec_all: 0.0661 (0.0661) loss_rec_sfr: 0.0910 (0.0910) loss_cl: -0.3662 (-0.3662) time: 7.1209 data: 5.0625 max mem: 29859 [18:52:41.557311] Epoch: [193] [ 20/850] eta: 0:16:01 lr: 0.002168 loss: 0.0233 (0.0238) loss_rec_all: 0.0590 (0.0599) loss_rec_sfr: 0.0870 (0.0900) loss_cl: -0.3672 (-0.3670) time: 0.8602 data: 0.0003 max mem: 29859 [18:52:58.836102] Epoch: [193] [ 40/850] eta: 0:13:41 lr: 0.002168 loss: 0.0217 (0.0232) loss_rec_all: 0.0576 (0.0593) loss_rec_sfr: 0.0858 (0.0862) loss_cl: -0.3662 (-0.3667) time: 0.8639 data: 0.0003 max mem: 29859 [18:53:16.073835] Epoch: [193] [ 60/850] eta: 0:12:42 lr: 0.002168 loss: 0.0229 (0.0232) loss_rec_all: 0.0587 (0.0593) loss_rec_sfr: 0.0912 (0.0893) loss_cl: -0.3668 (-0.3668) time: 0.8618 data: 0.0002 max mem: 29859 [18:53:33.341302] Epoch: [193] [ 80/850] eta: 0:12:03 lr: 0.002168 loss: 0.0197 (0.0226) loss_rec_all: 0.0561 (0.0587) loss_rec_sfr: 0.0606 (0.0865) loss_cl: -0.3680 (-0.3670) time: 0.8633 data: 0.0002 max mem: 29859 [18:53:50.588774] Epoch: [193] [100/850] eta: 0:11:33 lr: 0.002168 loss: 0.0196 (0.0222) loss_rec_all: 0.0559 (0.0584) loss_rec_sfr: 0.0602 (0.0843) loss_cl: -0.3681 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [18:54:07.854008] Epoch: [193] [120/850] eta: 0:11:07 lr: 0.002167 loss: 0.0199 (0.0220) loss_rec_all: 0.0561 (0.0581) loss_rec_sfr: 0.0582 (0.0823) loss_cl: -0.3677 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [18:54:25.096928] Epoch: [193] [140/850] eta: 0:10:43 lr: 0.002167 loss: 0.0222 (0.0221) loss_rec_all: 0.0584 (0.0582) loss_rec_sfr: 0.0630 (0.0823) loss_cl: -0.3670 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [18:54:42.410941] Epoch: [193] [160/850] eta: 0:10:22 lr: 0.002167 loss: 0.0224 (0.0222) loss_rec_all: 0.0584 (0.0584) loss_rec_sfr: 0.0783 (0.0824) loss_cl: -0.3666 (-0.3671) time: 0.8656 data: 0.0002 max mem: 29859 [18:54:59.664035] Epoch: [193] [180/850] eta: 0:10:01 lr: 0.002167 loss: 0.0218 (0.0222) loss_rec_all: 0.0577 (0.0584) loss_rec_sfr: 0.0777 (0.0829) loss_cl: -0.3665 (-0.3670) time: 0.8626 data: 0.0003 max mem: 29859 [18:55:16.940888] Epoch: [193] [200/850] eta: 0:09:41 lr: 0.002167 loss: 0.0233 (0.0224) loss_rec_all: 0.0591 (0.0585) loss_rec_sfr: 0.0906 (0.0842) loss_cl: -0.3665 (-0.3670) time: 0.8638 data: 0.0002 max mem: 29859 [18:55:34.180262] Epoch: [193] [220/850] eta: 0:09:21 lr: 0.002167 loss: 0.0223 (0.0225) loss_rec_all: 0.0583 (0.0586) loss_rec_sfr: 0.0737 (0.0836) loss_cl: -0.3666 (-0.3669) time: 0.8619 data: 0.0002 max mem: 29859 [18:55:51.471132] Epoch: [193] [240/850] eta: 0:09:02 lr: 0.002167 loss: 0.0232 (0.0226) loss_rec_all: 0.0593 (0.0587) loss_rec_sfr: 0.1044 (0.0850) loss_cl: -0.3672 (-0.3670) time: 0.8645 data: 0.0002 max mem: 29859 [18:56:08.720698] Epoch: [193] [260/850] eta: 0:08:43 lr: 0.002167 loss: 0.0224 (0.0226) loss_rec_all: 0.0587 (0.0587) loss_rec_sfr: 0.0589 (0.0843) loss_cl: -0.3677 (-0.3670) time: 0.8624 data: 0.0002 max mem: 29859 [18:56:25.998650] Epoch: [193] [280/850] eta: 0:08:24 lr: 0.002167 loss: 0.0228 (0.0228) loss_rec_all: 0.0589 (0.0589) loss_rec_sfr: 0.0889 (0.0846) loss_cl: -0.3681 (-0.3671) time: 0.8639 data: 0.0002 max mem: 29859 [18:56:43.251194] Epoch: [193] [300/850] eta: 0:08:06 lr: 0.002167 loss: 0.0210 (0.0227) loss_rec_all: 0.0574 (0.0588) loss_rec_sfr: 0.0638 (0.0842) loss_cl: -0.3684 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [18:57:00.524608] Epoch: [193] [320/850] eta: 0:07:47 lr: 0.002167 loss: 0.0219 (0.0227) loss_rec_all: 0.0579 (0.0588) loss_rec_sfr: 0.0829 (0.0842) loss_cl: -0.3678 (-0.3672) time: 0.8636 data: 0.0002 max mem: 29859 [18:57:17.760805] Epoch: [193] [340/850] eta: 0:07:29 lr: 0.002167 loss: 0.0209 (0.0226) loss_rec_all: 0.0573 (0.0587) loss_rec_sfr: 0.0661 (0.0835) loss_cl: -0.3671 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [18:57:35.065989] Epoch: [193] [360/850] eta: 0:07:11 lr: 0.002167 loss: 0.0216 (0.0226) loss_rec_all: 0.0578 (0.0587) loss_rec_sfr: 0.0709 (0.0836) loss_cl: -0.3670 (-0.3672) time: 0.8652 data: 0.0003 max mem: 29859 [18:57:52.317654] Epoch: [193] [380/850] eta: 0:06:53 lr: 0.002167 loss: 0.0216 (0.0226) loss_rec_all: 0.0579 (0.0588) loss_rec_sfr: 0.0612 (0.0831) loss_cl: -0.3675 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [18:58:09.624309] Epoch: [193] [400/850] eta: 0:06:35 lr: 0.002167 loss: 0.0228 (0.0227) loss_rec_all: 0.0586 (0.0588) loss_rec_sfr: 0.0906 (0.0837) loss_cl: -0.3680 (-0.3672) time: 0.8653 data: 0.0002 max mem: 29859 [18:58:26.885889] Epoch: [193] [420/850] eta: 0:06:17 lr: 0.002166 loss: 0.0232 (0.0228) loss_rec_all: 0.0596 (0.0589) loss_rec_sfr: 0.0897 (0.0841) loss_cl: -0.3683 (-0.3673) time: 0.8630 data: 0.0003 max mem: 29859 [18:58:44.191688] Epoch: [193] [440/850] eta: 0:05:59 lr: 0.002166 loss: 0.0231 (0.0228) loss_rec_all: 0.0595 (0.0590) loss_rec_sfr: 0.0681 (0.0839) loss_cl: -0.3675 (-0.3673) time: 0.8652 data: 0.0003 max mem: 29859 [18:59:01.456962] Epoch: [193] [460/850] eta: 0:05:41 lr: 0.002166 loss: 0.0236 (0.0229) loss_rec_all: 0.0594 (0.0590) loss_rec_sfr: 0.0978 (0.0845) loss_cl: -0.3670 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [18:59:18.750640] Epoch: [193] [480/850] eta: 0:05:24 lr: 0.002166 loss: 0.0228 (0.0229) loss_rec_all: 0.0589 (0.0590) loss_rec_sfr: 0.0696 (0.0846) loss_cl: -0.3670 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [18:59:36.001118] Epoch: [193] [500/850] eta: 0:05:06 lr: 0.002166 loss: 0.0220 (0.0229) loss_rec_all: 0.0584 (0.0590) loss_rec_sfr: 0.0644 (0.0846) loss_cl: -0.3671 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [18:59:53.290790] Epoch: [193] [520/850] eta: 0:04:48 lr: 0.002166 loss: 0.0217 (0.0228) loss_rec_all: 0.0581 (0.0590) loss_rec_sfr: 0.0642 (0.0844) loss_cl: -0.3677 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [19:00:10.531999] Epoch: [193] [540/850] eta: 0:04:31 lr: 0.002166 loss: 0.0230 (0.0228) loss_rec_all: 0.0587 (0.0590) loss_rec_sfr: 0.1052 (0.0849) loss_cl: -0.3675 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [19:00:27.830856] Epoch: [193] [560/850] eta: 0:04:13 lr: 0.002166 loss: 0.0208 (0.0228) loss_rec_all: 0.0573 (0.0589) loss_rec_sfr: 0.0625 (0.0847) loss_cl: -0.3674 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [19:00:45.089515] Epoch: [193] [580/850] eta: 0:03:55 lr: 0.002166 loss: 0.0218 (0.0228) loss_rec_all: 0.0580 (0.0589) loss_rec_sfr: 0.0861 (0.0847) loss_cl: -0.3670 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [19:01:02.378806] Epoch: [193] [600/850] eta: 0:03:38 lr: 0.002166 loss: 0.0208 (0.0227) loss_rec_all: 0.0569 (0.0589) loss_rec_sfr: 0.0627 (0.0845) loss_cl: -0.3669 (-0.3672) time: 0.8644 data: 0.0002 max mem: 29859 [19:01:19.641509] Epoch: [193] [620/850] eta: 0:03:20 lr: 0.002166 loss: 0.0215 (0.0227) loss_rec_all: 0.0574 (0.0589) loss_rec_sfr: 0.0678 (0.0843) loss_cl: -0.3669 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [19:01:36.924648] Epoch: [193] [640/850] eta: 0:03:03 lr: 0.002166 loss: 0.0210 (0.0227) loss_rec_all: 0.0573 (0.0588) loss_rec_sfr: 0.0690 (0.0842) loss_cl: -0.3675 (-0.3672) time: 0.8641 data: 0.0002 max mem: 29859 [19:01:54.177640] Epoch: [193] [660/850] eta: 0:02:45 lr: 0.002166 loss: 0.0224 (0.0227) loss_rec_all: 0.0584 (0.0589) loss_rec_sfr: 0.0878 (0.0843) loss_cl: -0.3674 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [19:02:11.453799] Epoch: [193] [680/850] eta: 0:02:28 lr: 0.002166 loss: 0.0224 (0.0227) loss_rec_all: 0.0585 (0.0589) loss_rec_sfr: 0.0680 (0.0842) loss_cl: -0.3676 (-0.3672) time: 0.8638 data: 0.0003 max mem: 29859 [19:02:28.694282] Epoch: [193] [700/850] eta: 0:02:10 lr: 0.002165 loss: 0.0226 (0.0227) loss_rec_all: 0.0587 (0.0589) loss_rec_sfr: 0.0678 (0.0842) loss_cl: -0.3679 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [19:02:45.971444] Epoch: [193] [720/850] eta: 0:01:53 lr: 0.002165 loss: 0.0227 (0.0228) loss_rec_all: 0.0590 (0.0589) loss_rec_sfr: 0.0827 (0.0842) loss_cl: -0.3678 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [19:03:03.218971] Epoch: [193] [740/850] eta: 0:01:35 lr: 0.002165 loss: 0.0216 (0.0228) loss_rec_all: 0.0580 (0.0589) loss_rec_sfr: 0.0708 (0.0843) loss_cl: -0.3682 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [19:03:20.495904] Epoch: [193] [760/850] eta: 0:01:18 lr: 0.002165 loss: 0.0219 (0.0228) loss_rec_all: 0.0582 (0.0589) loss_rec_sfr: 0.0644 (0.0841) loss_cl: -0.3674 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [19:03:37.735660] Epoch: [193] [780/850] eta: 0:01:00 lr: 0.002165 loss: 0.0220 (0.0228) loss_rec_all: 0.0583 (0.0589) loss_rec_sfr: 0.0777 (0.0842) loss_cl: -0.3674 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [19:03:55.013646] Epoch: [193] [800/850] eta: 0:00:43 lr: 0.002165 loss: 0.0228 (0.0228) loss_rec_all: 0.0588 (0.0589) loss_rec_sfr: 0.0838 (0.0841) loss_cl: -0.3669 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [19:04:12.264637] Epoch: [193] [820/850] eta: 0:00:26 lr: 0.002165 loss: 0.0228 (0.0228) loss_rec_all: 0.0590 (0.0589) loss_rec_sfr: 0.0884 (0.0843) loss_cl: -0.3671 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [19:04:29.545344] Epoch: [193] [840/850] eta: 0:00:08 lr: 0.002165 loss: 0.0234 (0.0228) loss_rec_all: 0.0594 (0.0590) loss_rec_sfr: 0.0678 (0.0844) loss_cl: -0.3677 (-0.3673) time: 0.8640 data: 0.0005 max mem: 29859 [19:04:37.304311] Epoch: [193] [849/850] eta: 0:00:00 lr: 0.002165 loss: 0.0238 (0.0229) loss_rec_all: 0.0599 (0.0590) loss_rec_sfr: 0.0678 (0.0842) loss_cl: -0.3676 (-0.3673) time: 0.8637 data: 0.0004 max mem: 29859 [19:04:37.447853] Epoch: [193] Total time: 0:12:20 (0.8708 s / it) [19:04:37.450399] Averaged stats: lr: 0.002165 loss: 0.0238 (0.0229) loss_rec_all: 0.0599 (0.0590) loss_rec_sfr: 0.0678 (0.0844) loss_cl: -0.3676 (-0.3672) [19:04:37.463048] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [19:04:43.954203] Epoch: [194] [ 0/850] eta: 1:31:56 lr: 0.002165 loss: 0.0199 (0.0199) loss_rec_all: 0.0563 (0.0563) loss_rec_sfr: 0.0582 (0.0582) loss_cl: -0.3680 (-0.3680) time: 6.4904 data: 5.6380 max mem: 29859 [19:05:01.503922] Epoch: [194] [ 20/850] eta: 0:15:50 lr: 0.002165 loss: 0.0224 (0.0236) loss_rec_all: 0.0584 (0.0597) loss_rec_sfr: 0.0721 (0.0860) loss_cl: -0.3673 (-0.3673) time: 0.8774 data: 0.0003 max mem: 29859 [19:05:18.766443] Epoch: [194] [ 40/850] eta: 0:13:35 lr: 0.002165 loss: 0.0222 (0.0231) loss_rec_all: 0.0584 (0.0592) loss_rec_sfr: 0.0638 (0.0843) loss_cl: -0.3675 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [19:05:35.987843] Epoch: [194] [ 60/850] eta: 0:12:37 lr: 0.002165 loss: 0.0213 (0.0228) loss_rec_all: 0.0576 (0.0590) loss_rec_sfr: 0.0621 (0.0817) loss_cl: -0.3672 (-0.3673) time: 0.8610 data: 0.0002 max mem: 29859 [19:05:53.271804] Epoch: [194] [ 80/850] eta: 0:12:00 lr: 0.002165 loss: 0.0222 (0.0227) loss_rec_all: 0.0582 (0.0589) loss_rec_sfr: 0.0834 (0.0833) loss_cl: -0.3673 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [19:06:10.534157] Epoch: [194] [100/850] eta: 0:11:31 lr: 0.002165 loss: 0.0218 (0.0226) loss_rec_all: 0.0578 (0.0588) loss_rec_sfr: 0.0682 (0.0822) loss_cl: -0.3671 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [19:06:27.798432] Epoch: [194] [120/850] eta: 0:11:05 lr: 0.002165 loss: 0.0216 (0.0225) loss_rec_all: 0.0576 (0.0587) loss_rec_sfr: 0.0815 (0.0826) loss_cl: -0.3669 (-0.3671) time: 0.8632 data: 0.0003 max mem: 29859 [19:06:45.032020] Epoch: [194] [140/850] eta: 0:10:42 lr: 0.002164 loss: 0.0213 (0.0225) loss_rec_all: 0.0575 (0.0586) loss_rec_sfr: 0.0869 (0.0831) loss_cl: -0.3666 (-0.3671) time: 0.8616 data: 0.0002 max mem: 29859 [19:07:02.317810] Epoch: [194] [160/850] eta: 0:10:20 lr: 0.002164 loss: 0.0216 (0.0224) loss_rec_all: 0.0576 (0.0586) loss_rec_sfr: 0.0680 (0.0827) loss_cl: -0.3671 (-0.3671) time: 0.8642 data: 0.0002 max mem: 29859 [19:07:19.558071] Epoch: [194] [180/850] eta: 0:09:59 lr: 0.002164 loss: 0.0220 (0.0225) loss_rec_all: 0.0581 (0.0586) loss_rec_sfr: 0.0860 (0.0829) loss_cl: -0.3674 (-0.3671) time: 0.8620 data: 0.0002 max mem: 29859 [19:07:36.839079] Epoch: [194] [200/850] eta: 0:09:40 lr: 0.002164 loss: 0.0215 (0.0225) loss_rec_all: 0.0578 (0.0586) loss_rec_sfr: 0.0649 (0.0823) loss_cl: -0.3674 (-0.3671) time: 0.8640 data: 0.0002 max mem: 29859 [19:07:54.068515] Epoch: [194] [220/850] eta: 0:09:20 lr: 0.002164 loss: 0.0215 (0.0225) loss_rec_all: 0.0578 (0.0587) loss_rec_sfr: 0.0922 (0.0828) loss_cl: -0.3673 (-0.3671) time: 0.8614 data: 0.0002 max mem: 29859 [19:08:11.381012] Epoch: [194] [240/850] eta: 0:09:01 lr: 0.002164 loss: 0.0234 (0.0226) loss_rec_all: 0.0594 (0.0588) loss_rec_sfr: 0.0933 (0.0841) loss_cl: -0.3670 (-0.3671) time: 0.8656 data: 0.0003 max mem: 29859 [19:08:28.638972] Epoch: [194] [260/850] eta: 0:08:42 lr: 0.002164 loss: 0.0205 (0.0226) loss_rec_all: 0.0568 (0.0587) loss_rec_sfr: 0.0646 (0.0831) loss_cl: -0.3671 (-0.3671) time: 0.8628 data: 0.0002 max mem: 29859 [19:08:45.915462] Epoch: [194] [280/850] eta: 0:08:23 lr: 0.002164 loss: 0.0242 (0.0227) loss_rec_all: 0.0601 (0.0588) loss_rec_sfr: 0.0928 (0.0836) loss_cl: -0.3668 (-0.3671) time: 0.8638 data: 0.0002 max mem: 29859 [19:09:03.177772] Epoch: [194] [300/850] eta: 0:08:05 lr: 0.002164 loss: 0.0208 (0.0227) loss_rec_all: 0.0571 (0.0588) loss_rec_sfr: 0.0679 (0.0831) loss_cl: -0.3677 (-0.3671) time: 0.8631 data: 0.0002 max mem: 29859 [19:09:20.452840] Epoch: [194] [320/850] eta: 0:07:47 lr: 0.002164 loss: 0.0209 (0.0227) loss_rec_all: 0.0574 (0.0588) loss_rec_sfr: 0.0680 (0.0825) loss_cl: -0.3676 (-0.3671) time: 0.8637 data: 0.0002 max mem: 29859 [19:09:37.700397] Epoch: [194] [340/850] eta: 0:07:29 lr: 0.002164 loss: 0.0232 (0.0228) loss_rec_all: 0.0595 (0.0589) loss_rec_sfr: 0.0636 (0.0825) loss_cl: -0.3678 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [19:09:54.994934] Epoch: [194] [360/850] eta: 0:07:10 lr: 0.002164 loss: 0.0234 (0.0228) loss_rec_all: 0.0598 (0.0590) loss_rec_sfr: 0.0853 (0.0826) loss_cl: -0.3677 (-0.3672) time: 0.8647 data: 0.0002 max mem: 29859 [19:10:12.239051] Epoch: [194] [380/850] eta: 0:06:52 lr: 0.002164 loss: 0.0212 (0.0228) loss_rec_all: 0.0576 (0.0589) loss_rec_sfr: 0.0814 (0.0829) loss_cl: -0.3674 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [19:10:29.550138] Epoch: [194] [400/850] eta: 0:06:35 lr: 0.002164 loss: 0.0202 (0.0227) loss_rec_all: 0.0565 (0.0588) loss_rec_sfr: 0.0587 (0.0824) loss_cl: -0.3671 (-0.3672) time: 0.8655 data: 0.0003 max mem: 29859 [19:10:46.790124] Epoch: [194] [420/850] eta: 0:06:17 lr: 0.002164 loss: 0.0211 (0.0227) loss_rec_all: 0.0570 (0.0588) loss_rec_sfr: 0.0858 (0.0825) loss_cl: -0.3668 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [19:11:04.094242] Epoch: [194] [440/850] eta: 0:05:59 lr: 0.002163 loss: 0.0209 (0.0227) loss_rec_all: 0.0571 (0.0588) loss_rec_sfr: 0.0707 (0.0826) loss_cl: -0.3665 (-0.3672) time: 0.8652 data: 0.0002 max mem: 29859 [19:11:21.336073] Epoch: [194] [460/850] eta: 0:05:41 lr: 0.002163 loss: 0.0213 (0.0227) loss_rec_all: 0.0576 (0.0588) loss_rec_sfr: 0.0683 (0.0824) loss_cl: -0.3669 (-0.3671) time: 0.8620 data: 0.0002 max mem: 29859 [19:11:38.639909] Epoch: [194] [480/850] eta: 0:05:23 lr: 0.002163 loss: 0.0229 (0.0227) loss_rec_all: 0.0593 (0.0588) loss_rec_sfr: 0.0661 (0.0822) loss_cl: -0.3672 (-0.3671) time: 0.8651 data: 0.0003 max mem: 29859 [19:11:55.891736] Epoch: [194] [500/850] eta: 0:05:06 lr: 0.002163 loss: 0.0216 (0.0227) loss_rec_all: 0.0577 (0.0588) loss_rec_sfr: 0.0679 (0.0822) loss_cl: -0.3671 (-0.3671) time: 0.8625 data: 0.0002 max mem: 29859 [19:12:13.197684] Epoch: [194] [520/850] eta: 0:04:48 lr: 0.002163 loss: 0.0229 (0.0227) loss_rec_all: 0.0591 (0.0588) loss_rec_sfr: 0.0914 (0.0825) loss_cl: -0.3682 (-0.3672) time: 0.8652 data: 0.0002 max mem: 29859 [19:12:30.487189] Epoch: [194] [540/850] eta: 0:04:31 lr: 0.002163 loss: 0.0215 (0.0227) loss_rec_all: 0.0579 (0.0588) loss_rec_sfr: 0.0610 (0.0823) loss_cl: -0.3683 (-0.3672) time: 0.8644 data: 0.0003 max mem: 29859 [19:12:47.782400] Epoch: [194] [560/850] eta: 0:04:13 lr: 0.002163 loss: 0.0221 (0.0227) loss_rec_all: 0.0578 (0.0588) loss_rec_sfr: 0.0928 (0.0826) loss_cl: -0.3687 (-0.3672) time: 0.8647 data: 0.0003 max mem: 29859 [19:13:05.044821] Epoch: [194] [580/850] eta: 0:03:55 lr: 0.002163 loss: 0.0216 (0.0227) loss_rec_all: 0.0579 (0.0588) loss_rec_sfr: 0.0662 (0.0826) loss_cl: -0.3682 (-0.3672) time: 0.8631 data: 0.0003 max mem: 29859 [19:13:22.342691] Epoch: [194] [600/850] eta: 0:03:38 lr: 0.002163 loss: 0.0223 (0.0227) loss_rec_all: 0.0580 (0.0588) loss_rec_sfr: 0.0815 (0.0827) loss_cl: -0.3673 (-0.3672) time: 0.8648 data: 0.0002 max mem: 29859 [19:13:39.587861] Epoch: [194] [620/850] eta: 0:03:20 lr: 0.002163 loss: 0.0211 (0.0226) loss_rec_all: 0.0573 (0.0588) loss_rec_sfr: 0.0611 (0.0824) loss_cl: -0.3669 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [19:13:56.869379] Epoch: [194] [640/850] eta: 0:03:03 lr: 0.002163 loss: 0.0229 (0.0227) loss_rec_all: 0.0592 (0.0588) loss_rec_sfr: 0.0954 (0.0825) loss_cl: -0.3668 (-0.3672) time: 0.8640 data: 0.0002 max mem: 29859 [19:14:14.113558] Epoch: [194] [660/850] eta: 0:02:45 lr: 0.002163 loss: 0.0232 (0.0228) loss_rec_all: 0.0594 (0.0589) loss_rec_sfr: 0.0670 (0.0824) loss_cl: -0.3667 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [19:14:31.399555] Epoch: [194] [680/850] eta: 0:02:28 lr: 0.002163 loss: 0.0219 (0.0228) loss_rec_all: 0.0581 (0.0589) loss_rec_sfr: 0.0642 (0.0824) loss_cl: -0.3669 (-0.3672) time: 0.8642 data: 0.0002 max mem: 29859 [19:14:48.654559] Epoch: [194] [700/850] eta: 0:02:10 lr: 0.002163 loss: 0.0231 (0.0228) loss_rec_all: 0.0592 (0.0590) loss_rec_sfr: 0.0892 (0.0825) loss_cl: -0.3677 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [19:15:05.941096] Epoch: [194] [720/850] eta: 0:01:53 lr: 0.002162 loss: 0.0221 (0.0228) loss_rec_all: 0.0583 (0.0590) loss_rec_sfr: 0.0663 (0.0824) loss_cl: -0.3677 (-0.3672) time: 0.8643 data: 0.0002 max mem: 29859 [19:15:23.197275] Epoch: [194] [740/850] eta: 0:01:35 lr: 0.002162 loss: 0.0227 (0.0228) loss_rec_all: 0.0589 (0.0590) loss_rec_sfr: 0.0694 (0.0824) loss_cl: -0.3669 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [19:15:40.470304] Epoch: [194] [760/850] eta: 0:01:18 lr: 0.002162 loss: 0.0221 (0.0228) loss_rec_all: 0.0585 (0.0590) loss_rec_sfr: 0.0872 (0.0826) loss_cl: -0.3679 (-0.3672) time: 0.8636 data: 0.0002 max mem: 29859 [19:15:57.705942] Epoch: [194] [780/850] eta: 0:01:00 lr: 0.002162 loss: 0.0216 (0.0228) loss_rec_all: 0.0576 (0.0590) loss_rec_sfr: 0.0975 (0.0829) loss_cl: -0.3679 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [19:16:14.993138] Epoch: [194] [800/850] eta: 0:00:43 lr: 0.002162 loss: 0.0227 (0.0228) loss_rec_all: 0.0590 (0.0590) loss_rec_sfr: 0.0913 (0.0832) loss_cl: -0.3677 (-0.3672) time: 0.8643 data: 0.0002 max mem: 29859 [19:16:32.238652] Epoch: [194] [820/850] eta: 0:00:26 lr: 0.002162 loss: 0.0221 (0.0228) loss_rec_all: 0.0583 (0.0590) loss_rec_sfr: 0.0648 (0.0832) loss_cl: -0.3680 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [19:16:49.508074] Epoch: [194] [840/850] eta: 0:00:08 lr: 0.002162 loss: 0.0215 (0.0228) loss_rec_all: 0.0578 (0.0589) loss_rec_sfr: 0.0898 (0.0833) loss_cl: -0.3680 (-0.3673) time: 0.8634 data: 0.0004 max mem: 29859 [19:16:57.262699] Epoch: [194] [849/850] eta: 0:00:00 lr: 0.002162 loss: 0.0207 (0.0228) loss_rec_all: 0.0570 (0.0589) loss_rec_sfr: 0.0898 (0.0834) loss_cl: -0.3677 (-0.3673) time: 0.8632 data: 0.0004 max mem: 29859 [19:16:57.407488] Epoch: [194] Total time: 0:12:19 (0.8705 s / it) [19:16:57.410053] Averaged stats: lr: 0.002162 loss: 0.0207 (0.0229) loss_rec_all: 0.0570 (0.0590) loss_rec_sfr: 0.0898 (0.0844) loss_cl: -0.3677 (-0.3673) [19:16:57.422916] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [19:17:03.426833] Epoch: [195] [ 0/850] eta: 1:25:02 lr: 0.002162 loss: 0.0245 (0.0245) loss_rec_all: 0.0607 (0.0607) loss_rec_sfr: 0.0822 (0.0822) loss_cl: -0.3671 (-0.3671) time: 6.0029 data: 5.1500 max mem: 29859 [19:17:20.954016] Epoch: [195] [ 20/850] eta: 0:15:29 lr: 0.002162 loss: 0.0207 (0.0217) loss_rec_all: 0.0569 (0.0578) loss_rec_sfr: 0.0667 (0.0854) loss_cl: -0.3669 (-0.3668) time: 0.8763 data: 0.0162 max mem: 29859 [19:17:38.218043] Epoch: [195] [ 40/850] eta: 0:13:25 lr: 0.002162 loss: 0.0212 (0.0221) loss_rec_all: 0.0574 (0.0582) loss_rec_sfr: 0.0637 (0.0818) loss_cl: -0.3669 (-0.3668) time: 0.8631 data: 0.0003 max mem: 29859 [19:17:55.451700] Epoch: [195] [ 60/850] eta: 0:12:31 lr: 0.002162 loss: 0.0234 (0.0225) loss_rec_all: 0.0592 (0.0586) loss_rec_sfr: 0.0834 (0.0829) loss_cl: -0.3673 (-0.3670) time: 0.8616 data: 0.0002 max mem: 29859 [19:18:12.725595] Epoch: [195] [ 80/850] eta: 0:11:55 lr: 0.002162 loss: 0.0214 (0.0224) loss_rec_all: 0.0576 (0.0585) loss_rec_sfr: 0.0738 (0.0827) loss_cl: -0.3676 (-0.3671) time: 0.8636 data: 0.0002 max mem: 29859 [19:18:29.959313] Epoch: [195] [100/850] eta: 0:11:27 lr: 0.002162 loss: 0.0228 (0.0226) loss_rec_all: 0.0587 (0.0588) loss_rec_sfr: 0.0972 (0.0837) loss_cl: -0.3676 (-0.3672) time: 0.8616 data: 0.0003 max mem: 29859 [19:18:47.241515] Epoch: [195] [120/850] eta: 0:11:02 lr: 0.002162 loss: 0.0222 (0.0227) loss_rec_all: 0.0585 (0.0588) loss_rec_sfr: 0.0669 (0.0834) loss_cl: -0.3664 (-0.3671) time: 0.8640 data: 0.0002 max mem: 29859 [19:19:04.489966] Epoch: [195] [140/850] eta: 0:10:39 lr: 0.002162 loss: 0.0241 (0.0229) loss_rec_all: 0.0600 (0.0590) loss_rec_sfr: 0.0879 (0.0842) loss_cl: -0.3657 (-0.3669) time: 0.8624 data: 0.0003 max mem: 29859 [19:19:21.797018] Epoch: [195] [160/850] eta: 0:10:18 lr: 0.002161 loss: 0.0235 (0.0231) loss_rec_all: 0.0593 (0.0591) loss_rec_sfr: 0.1064 (0.0862) loss_cl: -0.3663 (-0.3668) time: 0.8653 data: 0.0002 max mem: 29859 [19:19:39.050319] Epoch: [195] [180/850] eta: 0:09:58 lr: 0.002161 loss: 0.0246 (0.0234) loss_rec_all: 0.0605 (0.0595) loss_rec_sfr: 0.0911 (0.0869) loss_cl: -0.3671 (-0.3668) time: 0.8626 data: 0.0002 max mem: 29859 [19:19:56.321271] Epoch: [195] [200/850] eta: 0:09:38 lr: 0.002161 loss: 0.0219 (0.0234) loss_rec_all: 0.0581 (0.0595) loss_rec_sfr: 0.0682 (0.0863) loss_cl: -0.3675 (-0.3669) time: 0.8635 data: 0.0002 max mem: 29859 [19:20:13.577691] Epoch: [195] [220/850] eta: 0:09:19 lr: 0.002161 loss: 0.0227 (0.0233) loss_rec_all: 0.0587 (0.0594) loss_rec_sfr: 0.0912 (0.0869) loss_cl: -0.3678 (-0.3670) time: 0.8628 data: 0.0002 max mem: 29859 [19:20:30.871956] Epoch: [195] [240/850] eta: 0:09:00 lr: 0.002161 loss: 0.0216 (0.0233) loss_rec_all: 0.0581 (0.0594) loss_rec_sfr: 0.0667 (0.0864) loss_cl: -0.3682 (-0.3671) time: 0.8646 data: 0.0002 max mem: 29859 [19:20:48.122835] Epoch: [195] [260/850] eta: 0:08:41 lr: 0.002161 loss: 0.0225 (0.0233) loss_rec_all: 0.0585 (0.0594) loss_rec_sfr: 0.0699 (0.0863) loss_cl: -0.3681 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [19:21:05.401594] Epoch: [195] [280/850] eta: 0:08:22 lr: 0.002161 loss: 0.0221 (0.0233) loss_rec_all: 0.0583 (0.0594) loss_rec_sfr: 0.0856 (0.0862) loss_cl: -0.3677 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [19:21:22.638279] Epoch: [195] [300/850] eta: 0:08:04 lr: 0.002161 loss: 0.0212 (0.0232) loss_rec_all: 0.0574 (0.0594) loss_rec_sfr: 0.0640 (0.0856) loss_cl: -0.3673 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [19:21:39.910690] Epoch: [195] [320/850] eta: 0:07:46 lr: 0.002161 loss: 0.0220 (0.0232) loss_rec_all: 0.0579 (0.0593) loss_rec_sfr: 0.0897 (0.0860) loss_cl: -0.3669 (-0.3672) time: 0.8636 data: 0.0002 max mem: 29859 [19:21:57.151311] Epoch: [195] [340/850] eta: 0:07:28 lr: 0.002161 loss: 0.0218 (0.0232) loss_rec_all: 0.0577 (0.0593) loss_rec_sfr: 0.0705 (0.0857) loss_cl: -0.3670 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [19:22:14.437344] Epoch: [195] [360/850] eta: 0:07:10 lr: 0.002161 loss: 0.0208 (0.0231) loss_rec_all: 0.0569 (0.0592) loss_rec_sfr: 0.0624 (0.0855) loss_cl: -0.3669 (-0.3671) time: 0.8643 data: 0.0002 max mem: 29859 [19:22:31.682464] Epoch: [195] [380/850] eta: 0:06:52 lr: 0.002161 loss: 0.0193 (0.0230) loss_rec_all: 0.0557 (0.0591) loss_rec_sfr: 0.0621 (0.0848) loss_cl: -0.3672 (-0.3671) time: 0.8622 data: 0.0002 max mem: 29859 [19:22:48.965485] Epoch: [195] [400/850] eta: 0:06:34 lr: 0.002161 loss: 0.0214 (0.0230) loss_rec_all: 0.0573 (0.0591) loss_rec_sfr: 0.0904 (0.0849) loss_cl: -0.3674 (-0.3671) time: 0.8641 data: 0.0002 max mem: 29859 [19:23:06.210269] Epoch: [195] [420/850] eta: 0:06:16 lr: 0.002161 loss: 0.0232 (0.0230) loss_rec_all: 0.0596 (0.0591) loss_rec_sfr: 0.0584 (0.0849) loss_cl: -0.3679 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [19:23:23.513687] Epoch: [195] [440/850] eta: 0:05:58 lr: 0.002160 loss: 0.0207 (0.0229) loss_rec_all: 0.0571 (0.0590) loss_rec_sfr: 0.0645 (0.0846) loss_cl: -0.3678 (-0.3672) time: 0.8651 data: 0.0002 max mem: 29859 [19:23:40.750334] Epoch: [195] [460/850] eta: 0:05:41 lr: 0.002160 loss: 0.0215 (0.0228) loss_rec_all: 0.0577 (0.0590) loss_rec_sfr: 0.0653 (0.0843) loss_cl: -0.3676 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [19:23:58.034927] Epoch: [195] [480/850] eta: 0:05:23 lr: 0.002160 loss: 0.0235 (0.0228) loss_rec_all: 0.0594 (0.0590) loss_rec_sfr: 0.1196 (0.0851) loss_cl: -0.3675 (-0.3672) time: 0.8642 data: 0.0002 max mem: 29859 [19:24:15.260713] Epoch: [195] [500/850] eta: 0:05:05 lr: 0.002160 loss: 0.0204 (0.0228) loss_rec_all: 0.0568 (0.0589) loss_rec_sfr: 0.0611 (0.0846) loss_cl: -0.3671 (-0.3672) time: 0.8612 data: 0.0002 max mem: 29859 [19:24:32.544207] Epoch: [195] [520/850] eta: 0:04:48 lr: 0.002160 loss: 0.0218 (0.0228) loss_rec_all: 0.0579 (0.0589) loss_rec_sfr: 0.0651 (0.0843) loss_cl: -0.3674 (-0.3672) time: 0.8641 data: 0.0002 max mem: 29859 [19:24:49.777324] Epoch: [195] [540/850] eta: 0:04:30 lr: 0.002160 loss: 0.0210 (0.0227) loss_rec_all: 0.0572 (0.0589) loss_rec_sfr: 0.0579 (0.0841) loss_cl: -0.3677 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [19:25:07.056682] Epoch: [195] [560/850] eta: 0:04:13 lr: 0.002160 loss: 0.0229 (0.0228) loss_rec_all: 0.0589 (0.0589) loss_rec_sfr: 0.0909 (0.0844) loss_cl: -0.3673 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [19:25:24.282484] Epoch: [195] [580/850] eta: 0:03:55 lr: 0.002160 loss: 0.0244 (0.0228) loss_rec_all: 0.0602 (0.0590) loss_rec_sfr: 0.0913 (0.0849) loss_cl: -0.3669 (-0.3672) time: 0.8612 data: 0.0002 max mem: 29859 [19:25:41.549340] Epoch: [195] [600/850] eta: 0:03:38 lr: 0.002160 loss: 0.0241 (0.0229) loss_rec_all: 0.0600 (0.0590) loss_rec_sfr: 0.0854 (0.0849) loss_cl: -0.3665 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [19:25:58.778965] Epoch: [195] [620/850] eta: 0:03:20 lr: 0.002160 loss: 0.0227 (0.0229) loss_rec_all: 0.0588 (0.0590) loss_rec_sfr: 0.0708 (0.0850) loss_cl: -0.3660 (-0.3672) time: 0.8614 data: 0.0002 max mem: 29859 [19:26:16.081194] Epoch: [195] [640/850] eta: 0:03:03 lr: 0.002160 loss: 0.0233 (0.0229) loss_rec_all: 0.0592 (0.0590) loss_rec_sfr: 0.0881 (0.0853) loss_cl: -0.3664 (-0.3671) time: 0.8651 data: 0.0003 max mem: 29859 [19:26:33.309752] Epoch: [195] [660/850] eta: 0:02:45 lr: 0.002160 loss: 0.0225 (0.0229) loss_rec_all: 0.0586 (0.0591) loss_rec_sfr: 0.0678 (0.0855) loss_cl: -0.3673 (-0.3671) time: 0.8614 data: 0.0002 max mem: 29859 [19:26:50.597290] Epoch: [195] [680/850] eta: 0:02:28 lr: 0.002160 loss: 0.0229 (0.0230) loss_rec_all: 0.0589 (0.0591) loss_rec_sfr: 0.1024 (0.0858) loss_cl: -0.3680 (-0.3672) time: 0.8643 data: 0.0002 max mem: 29859 [19:27:07.832605] Epoch: [195] [700/850] eta: 0:02:10 lr: 0.002160 loss: 0.0221 (0.0229) loss_rec_all: 0.0583 (0.0591) loss_rec_sfr: 0.0683 (0.0858) loss_cl: -0.3687 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [19:27:25.108723] Epoch: [195] [720/850] eta: 0:01:53 lr: 0.002159 loss: 0.0243 (0.0230) loss_rec_all: 0.0602 (0.0591) loss_rec_sfr: 0.0901 (0.0861) loss_cl: -0.3682 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [19:27:42.363196] Epoch: [195] [740/850] eta: 0:01:35 lr: 0.002159 loss: 0.0221 (0.0230) loss_rec_all: 0.0584 (0.0591) loss_rec_sfr: 0.0875 (0.0862) loss_cl: -0.3676 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [19:27:59.635473] Epoch: [195] [760/850] eta: 0:01:18 lr: 0.002159 loss: 0.0217 (0.0230) loss_rec_all: 0.0579 (0.0591) loss_rec_sfr: 0.0665 (0.0860) loss_cl: -0.3669 (-0.3672) time: 0.8635 data: 0.0002 max mem: 29859 [19:28:16.875409] Epoch: [195] [780/850] eta: 0:01:00 lr: 0.002159 loss: 0.0216 (0.0230) loss_rec_all: 0.0578 (0.0591) loss_rec_sfr: 0.0693 (0.0859) loss_cl: -0.3669 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [19:28:34.145683] Epoch: [195] [800/850] eta: 0:00:43 lr: 0.002159 loss: 0.0230 (0.0230) loss_rec_all: 0.0590 (0.0591) loss_rec_sfr: 0.0820 (0.0858) loss_cl: -0.3676 (-0.3672) time: 0.8635 data: 0.0002 max mem: 29859 [19:28:51.380428] Epoch: [195] [820/850] eta: 0:00:26 lr: 0.002159 loss: 0.0228 (0.0230) loss_rec_all: 0.0588 (0.0591) loss_rec_sfr: 0.0854 (0.0859) loss_cl: -0.3672 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [19:29:08.648140] Epoch: [195] [840/850] eta: 0:00:08 lr: 0.002159 loss: 0.0224 (0.0230) loss_rec_all: 0.0585 (0.0591) loss_rec_sfr: 0.0829 (0.0858) loss_cl: -0.3670 (-0.3672) time: 0.8633 data: 0.0005 max mem: 29859 [19:29:17.398525] Epoch: [195] [849/850] eta: 0:00:00 lr: 0.002159 loss: 0.0217 (0.0230) loss_rec_all: 0.0577 (0.0591) loss_rec_sfr: 0.0689 (0.0857) loss_cl: -0.3670 (-0.3672) time: 0.9128 data: 0.0004 max mem: 29859 [19:29:17.517971] Epoch: [195] Total time: 0:12:20 (0.8707 s / it) [19:29:17.520198] Averaged stats: lr: 0.002159 loss: 0.0217 (0.0230) loss_rec_all: 0.0577 (0.0591) loss_rec_sfr: 0.0689 (0.0845) loss_cl: -0.3670 (-0.3672) [19:29:17.532552] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [19:29:23.870039] Epoch: [196] [ 0/850] eta: 1:29:45 lr: 0.002159 loss: 0.0270 (0.0270) loss_rec_all: 0.0630 (0.0630) loss_rec_sfr: 0.0866 (0.0866) loss_cl: -0.3665 (-0.3665) time: 6.3362 data: 5.4802 max mem: 29859 [19:29:41.160112] Epoch: [196] [ 20/850] eta: 0:15:33 lr: 0.002159 loss: 0.0213 (0.0231) loss_rec_all: 0.0577 (0.0593) loss_rec_sfr: 0.0648 (0.0803) loss_cl: -0.3671 (-0.3671) time: 0.8644 data: 0.0002 max mem: 29859 [19:29:58.416516] Epoch: [196] [ 40/850] eta: 0:13:27 lr: 0.002159 loss: 0.0221 (0.0231) loss_rec_all: 0.0583 (0.0592) loss_rec_sfr: 0.0826 (0.0818) loss_cl: -0.3671 (-0.3671) time: 0.8628 data: 0.0002 max mem: 29859 [19:30:15.671891] Epoch: [196] [ 60/850] eta: 0:12:32 lr: 0.002159 loss: 0.0219 (0.0228) loss_rec_all: 0.0579 (0.0590) loss_rec_sfr: 0.0658 (0.0812) loss_cl: -0.3675 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [19:30:32.982374] Epoch: [196] [ 80/850] eta: 0:11:57 lr: 0.002159 loss: 0.0213 (0.0226) loss_rec_all: 0.0578 (0.0587) loss_rec_sfr: 0.0655 (0.0820) loss_cl: -0.3678 (-0.3674) time: 0.8655 data: 0.0003 max mem: 29859 [19:30:50.235064] Epoch: [196] [100/850] eta: 0:11:28 lr: 0.002159 loss: 0.0207 (0.0223) loss_rec_all: 0.0567 (0.0585) loss_rec_sfr: 0.0646 (0.0809) loss_cl: -0.3678 (-0.3674) time: 0.8626 data: 0.0002 max mem: 29859 [19:31:07.530025] Epoch: [196] [120/850] eta: 0:11:03 lr: 0.002159 loss: 0.0214 (0.0222) loss_rec_all: 0.0575 (0.0584) loss_rec_sfr: 0.0646 (0.0804) loss_cl: -0.3666 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [19:31:24.785704] Epoch: [196] [140/850] eta: 0:10:40 lr: 0.002159 loss: 0.0199 (0.0220) loss_rec_all: 0.0561 (0.0582) loss_rec_sfr: 0.0676 (0.0805) loss_cl: -0.3667 (-0.3672) time: 0.8627 data: 0.0003 max mem: 29859 [19:31:42.073300] Epoch: [196] [160/850] eta: 0:10:19 lr: 0.002158 loss: 0.0203 (0.0219) loss_rec_all: 0.0567 (0.0580) loss_rec_sfr: 0.0644 (0.0799) loss_cl: -0.3675 (-0.3672) time: 0.8643 data: 0.0002 max mem: 29859 [19:31:59.334811] Epoch: [196] [180/850] eta: 0:09:58 lr: 0.002158 loss: 0.0219 (0.0219) loss_rec_all: 0.0581 (0.0581) loss_rec_sfr: 0.0717 (0.0805) loss_cl: -0.3675 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [19:32:16.628195] Epoch: [196] [200/850] eta: 0:09:39 lr: 0.002158 loss: 0.0224 (0.0220) loss_rec_all: 0.0582 (0.0582) loss_rec_sfr: 0.0865 (0.0816) loss_cl: -0.3677 (-0.3672) time: 0.8646 data: 0.0002 max mem: 29859 [19:32:33.874217] Epoch: [196] [220/850] eta: 0:09:19 lr: 0.002158 loss: 0.0225 (0.0220) loss_rec_all: 0.0585 (0.0582) loss_rec_sfr: 0.0887 (0.0821) loss_cl: -0.3677 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [19:32:51.176399] Epoch: [196] [240/850] eta: 0:09:00 lr: 0.002158 loss: 0.0225 (0.0220) loss_rec_all: 0.0584 (0.0582) loss_rec_sfr: 0.0727 (0.0822) loss_cl: -0.3673 (-0.3673) time: 0.8651 data: 0.0002 max mem: 29859 [19:33:08.418543] Epoch: [196] [260/850] eta: 0:08:41 lr: 0.002158 loss: 0.0223 (0.0221) loss_rec_all: 0.0585 (0.0582) loss_rec_sfr: 0.0981 (0.0828) loss_cl: -0.3675 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [19:33:25.711774] Epoch: [196] [280/850] eta: 0:08:23 lr: 0.002158 loss: 0.0232 (0.0222) loss_rec_all: 0.0591 (0.0583) loss_rec_sfr: 0.0869 (0.0833) loss_cl: -0.3673 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [19:33:42.978198] Epoch: [196] [300/850] eta: 0:08:05 lr: 0.002158 loss: 0.0208 (0.0221) loss_rec_all: 0.0571 (0.0583) loss_rec_sfr: 0.0618 (0.0826) loss_cl: -0.3675 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [19:34:00.277672] Epoch: [196] [320/850] eta: 0:07:46 lr: 0.002158 loss: 0.0207 (0.0221) loss_rec_all: 0.0570 (0.0582) loss_rec_sfr: 0.0855 (0.0826) loss_cl: -0.3671 (-0.3673) time: 0.8649 data: 0.0003 max mem: 29859 [19:34:17.524806] Epoch: [196] [340/850] eta: 0:07:28 lr: 0.002158 loss: 0.0222 (0.0221) loss_rec_all: 0.0583 (0.0583) loss_rec_sfr: 0.0663 (0.0826) loss_cl: -0.3665 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [19:34:34.841454] Epoch: [196] [360/850] eta: 0:07:10 lr: 0.002158 loss: 0.0213 (0.0221) loss_rec_all: 0.0575 (0.0583) loss_rec_sfr: 0.0741 (0.0828) loss_cl: -0.3668 (-0.3672) time: 0.8658 data: 0.0003 max mem: 29859 [19:34:52.088103] Epoch: [196] [380/850] eta: 0:06:52 lr: 0.002158 loss: 0.0216 (0.0221) loss_rec_all: 0.0578 (0.0583) loss_rec_sfr: 0.0701 (0.0831) loss_cl: -0.3668 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [19:35:09.390912] Epoch: [196] [400/850] eta: 0:06:34 lr: 0.002158 loss: 0.0220 (0.0222) loss_rec_all: 0.0579 (0.0583) loss_rec_sfr: 0.0887 (0.0834) loss_cl: -0.3672 (-0.3672) time: 0.8651 data: 0.0002 max mem: 29859 [19:35:26.629104] Epoch: [196] [420/850] eta: 0:06:16 lr: 0.002158 loss: 0.0215 (0.0222) loss_rec_all: 0.0577 (0.0583) loss_rec_sfr: 0.0691 (0.0831) loss_cl: -0.3676 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [19:35:43.916717] Epoch: [196] [440/850] eta: 0:05:59 lr: 0.002157 loss: 0.0212 (0.0222) loss_rec_all: 0.0576 (0.0583) loss_rec_sfr: 0.0592 (0.0830) loss_cl: -0.3676 (-0.3672) time: 0.8643 data: 0.0002 max mem: 29859 [19:36:01.157571] Epoch: [196] [460/850] eta: 0:05:41 lr: 0.002157 loss: 0.0214 (0.0222) loss_rec_all: 0.0577 (0.0583) loss_rec_sfr: 0.0825 (0.0831) loss_cl: -0.3674 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [19:36:18.439115] Epoch: [196] [480/850] eta: 0:05:23 lr: 0.002157 loss: 0.0233 (0.0224) loss_rec_all: 0.0595 (0.0585) loss_rec_sfr: 0.0894 (0.0834) loss_cl: -0.3670 (-0.3672) time: 0.8640 data: 0.0002 max mem: 29859 [19:36:35.698866] Epoch: [196] [500/850] eta: 0:05:06 lr: 0.002157 loss: 0.0294 (0.0228) loss_rec_all: 0.0652 (0.0589) loss_rec_sfr: 0.1077 (0.0842) loss_cl: -0.3665 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [19:36:52.973493] Epoch: [196] [520/850] eta: 0:04:48 lr: 0.002157 loss: 0.0275 (0.0230) loss_rec_all: 0.0636 (0.0592) loss_rec_sfr: 0.0765 (0.0843) loss_cl: -0.3666 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [19:37:10.209298] Epoch: [196] [540/850] eta: 0:04:30 lr: 0.002157 loss: 0.0243 (0.0231) loss_rec_all: 0.0603 (0.0592) loss_rec_sfr: 0.0659 (0.0842) loss_cl: -0.3672 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [19:37:27.481858] Epoch: [196] [560/850] eta: 0:04:13 lr: 0.002157 loss: 0.0239 (0.0232) loss_rec_all: 0.0602 (0.0593) loss_rec_sfr: 0.0726 (0.0843) loss_cl: -0.3680 (-0.3672) time: 0.8636 data: 0.0002 max mem: 29859 [19:37:44.713532] Epoch: [196] [580/850] eta: 0:03:55 lr: 0.002157 loss: 0.0233 (0.0232) loss_rec_all: 0.0596 (0.0594) loss_rec_sfr: 0.0686 (0.0841) loss_cl: -0.3681 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [19:38:01.991228] Epoch: [196] [600/850] eta: 0:03:38 lr: 0.002157 loss: 0.0217 (0.0232) loss_rec_all: 0.0581 (0.0593) loss_rec_sfr: 0.0629 (0.0838) loss_cl: -0.3683 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [19:38:19.227534] Epoch: [196] [620/850] eta: 0:03:20 lr: 0.002157 loss: 0.0227 (0.0232) loss_rec_all: 0.0588 (0.0594) loss_rec_sfr: 0.0874 (0.0839) loss_cl: -0.3676 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [19:38:36.509691] Epoch: [196] [640/850] eta: 0:03:03 lr: 0.002157 loss: 0.0216 (0.0232) loss_rec_all: 0.0579 (0.0593) loss_rec_sfr: 0.0661 (0.0838) loss_cl: -0.3668 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [19:38:53.745055] Epoch: [196] [660/850] eta: 0:02:45 lr: 0.002157 loss: 0.0216 (0.0232) loss_rec_all: 0.0575 (0.0593) loss_rec_sfr: 0.0830 (0.0838) loss_cl: -0.3669 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [19:39:11.026187] Epoch: [196] [680/850] eta: 0:02:28 lr: 0.002157 loss: 0.0225 (0.0232) loss_rec_all: 0.0587 (0.0594) loss_rec_sfr: 0.0911 (0.0838) loss_cl: -0.3668 (-0.3672) time: 0.8640 data: 0.0002 max mem: 29859 [19:39:28.270945] Epoch: [196] [700/850] eta: 0:02:10 lr: 0.002157 loss: 0.0213 (0.0232) loss_rec_all: 0.0575 (0.0593) loss_rec_sfr: 0.0844 (0.0838) loss_cl: -0.3673 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [19:39:45.556643] Epoch: [196] [720/850] eta: 0:01:53 lr: 0.002156 loss: 0.0211 (0.0232) loss_rec_all: 0.0574 (0.0593) loss_rec_sfr: 0.0653 (0.0837) loss_cl: -0.3677 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [19:40:02.811821] Epoch: [196] [740/850] eta: 0:01:35 lr: 0.002156 loss: 0.0223 (0.0231) loss_rec_all: 0.0585 (0.0593) loss_rec_sfr: 0.0641 (0.0837) loss_cl: -0.3678 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [19:40:20.103557] Epoch: [196] [760/850] eta: 0:01:18 lr: 0.002156 loss: 0.0212 (0.0231) loss_rec_all: 0.0576 (0.0593) loss_rec_sfr: 0.0715 (0.0836) loss_cl: -0.3675 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [19:40:37.350584] Epoch: [196] [780/850] eta: 0:01:00 lr: 0.002156 loss: 0.0225 (0.0231) loss_rec_all: 0.0588 (0.0592) loss_rec_sfr: 0.0722 (0.0837) loss_cl: -0.3671 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [19:40:54.628177] Epoch: [196] [800/850] eta: 0:00:43 lr: 0.002156 loss: 0.0204 (0.0230) loss_rec_all: 0.0566 (0.0592) loss_rec_sfr: 0.0628 (0.0835) loss_cl: -0.3668 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [19:41:11.872016] Epoch: [196] [820/850] eta: 0:00:26 lr: 0.002156 loss: 0.0202 (0.0230) loss_rec_all: 0.0563 (0.0592) loss_rec_sfr: 0.0654 (0.0834) loss_cl: -0.3670 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [19:41:29.175499] Epoch: [196] [840/850] eta: 0:00:08 lr: 0.002156 loss: 0.0212 (0.0230) loss_rec_all: 0.0573 (0.0591) loss_rec_sfr: 0.0856 (0.0834) loss_cl: -0.3676 (-0.3673) time: 0.8651 data: 0.0006 max mem: 29859 [19:41:36.936864] Epoch: [196] [849/850] eta: 0:00:00 lr: 0.002156 loss: 0.0213 (0.0230) loss_rec_all: 0.0577 (0.0591) loss_rec_sfr: 0.0625 (0.0832) loss_cl: -0.3680 (-0.3673) time: 0.8647 data: 0.0006 max mem: 29859 [19:41:37.045287] Epoch: [196] Total time: 0:12:19 (0.8700 s / it) [19:41:37.086018] Averaged stats: lr: 0.002156 loss: 0.0213 (0.0230) loss_rec_all: 0.0577 (0.0592) loss_rec_sfr: 0.0625 (0.0837) loss_cl: -0.3680 (-0.3673) [19:41:37.092554] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [19:41:43.356605] Epoch: [197] [ 0/850] eta: 1:28:43 lr: 0.002156 loss: 0.0242 (0.0242) loss_rec_all: 0.0604 (0.0604) loss_rec_sfr: 0.0803 (0.0803) loss_cl: -0.3673 (-0.3673) time: 6.2631 data: 5.2475 max mem: 29859 [19:42:00.589007] Epoch: [197] [ 20/850] eta: 0:15:28 lr: 0.002156 loss: 0.0220 (0.0227) loss_rec_all: 0.0582 (0.0588) loss_rec_sfr: 0.0938 (0.0921) loss_cl: -0.3674 (-0.3673) time: 0.8616 data: 0.0003 max mem: 29859 [19:42:17.854707] Epoch: [197] [ 40/850] eta: 0:13:25 lr: 0.002156 loss: 0.0223 (0.0225) loss_rec_all: 0.0583 (0.0586) loss_rec_sfr: 0.0876 (0.0911) loss_cl: -0.3672 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [19:42:35.085795] Epoch: [197] [ 60/850] eta: 0:12:31 lr: 0.002156 loss: 0.0219 (0.0225) loss_rec_all: 0.0578 (0.0586) loss_rec_sfr: 0.0965 (0.0909) loss_cl: -0.3671 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [19:42:52.383625] Epoch: [197] [ 80/850] eta: 0:11:55 lr: 0.002156 loss: 0.0230 (0.0226) loss_rec_all: 0.0587 (0.0587) loss_rec_sfr: 0.0902 (0.0926) loss_cl: -0.3674 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [19:43:09.624805] Epoch: [197] [100/850] eta: 0:11:27 lr: 0.002156 loss: 0.0236 (0.0232) loss_rec_all: 0.0598 (0.0592) loss_rec_sfr: 0.0960 (0.0923) loss_cl: -0.3674 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [19:43:26.934480] Epoch: [197] [120/850] eta: 0:11:02 lr: 0.002156 loss: 0.0251 (0.0235) loss_rec_all: 0.0610 (0.0596) loss_rec_sfr: 0.0698 (0.0914) loss_cl: -0.3672 (-0.3673) time: 0.8654 data: 0.0002 max mem: 29859 [19:43:44.199040] Epoch: [197] [140/850] eta: 0:10:39 lr: 0.002156 loss: 0.0224 (0.0235) loss_rec_all: 0.0586 (0.0596) loss_rec_sfr: 0.0988 (0.0908) loss_cl: -0.3677 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [19:44:01.479320] Epoch: [197] [160/850] eta: 0:10:18 lr: 0.002155 loss: 0.0233 (0.0234) loss_rec_all: 0.0593 (0.0595) loss_rec_sfr: 0.0761 (0.0897) loss_cl: -0.3681 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [19:44:18.733717] Epoch: [197] [180/850] eta: 0:09:58 lr: 0.002155 loss: 0.0218 (0.0234) loss_rec_all: 0.0578 (0.0595) loss_rec_sfr: 0.0673 (0.0886) loss_cl: -0.3679 (-0.3675) time: 0.8627 data: 0.0002 max mem: 29859 [19:44:36.035750] Epoch: [197] [200/850] eta: 0:09:38 lr: 0.002155 loss: 0.0231 (0.0233) loss_rec_all: 0.0590 (0.0595) loss_rec_sfr: 0.0714 (0.0885) loss_cl: -0.3676 (-0.3675) time: 0.8650 data: 0.0002 max mem: 29859 [19:44:53.310950] Epoch: [197] [220/850] eta: 0:09:19 lr: 0.002155 loss: 0.0218 (0.0232) loss_rec_all: 0.0577 (0.0594) loss_rec_sfr: 0.0832 (0.0883) loss_cl: -0.3665 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [19:45:10.610945] Epoch: [197] [240/850] eta: 0:09:00 lr: 0.002155 loss: 0.0208 (0.0231) loss_rec_all: 0.0571 (0.0593) loss_rec_sfr: 0.0673 (0.0874) loss_cl: -0.3664 (-0.3673) time: 0.8650 data: 0.0002 max mem: 29859 [19:45:27.856962] Epoch: [197] [260/850] eta: 0:08:41 lr: 0.002155 loss: 0.0211 (0.0231) loss_rec_all: 0.0571 (0.0592) loss_rec_sfr: 0.0801 (0.0868) loss_cl: -0.3665 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [19:45:45.172471] Epoch: [197] [280/850] eta: 0:08:23 lr: 0.002155 loss: 0.0203 (0.0229) loss_rec_all: 0.0565 (0.0591) loss_rec_sfr: 0.0652 (0.0863) loss_cl: -0.3669 (-0.3672) time: 0.8657 data: 0.0002 max mem: 29859 [19:46:02.417536] Epoch: [197] [300/850] eta: 0:08:04 lr: 0.002155 loss: 0.0214 (0.0229) loss_rec_all: 0.0575 (0.0590) loss_rec_sfr: 0.0736 (0.0861) loss_cl: -0.3674 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [19:46:19.717734] Epoch: [197] [320/850] eta: 0:07:46 lr: 0.002155 loss: 0.0210 (0.0228) loss_rec_all: 0.0572 (0.0589) loss_rec_sfr: 0.0650 (0.0855) loss_cl: -0.3678 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [19:46:36.960644] Epoch: [197] [340/850] eta: 0:07:28 lr: 0.002155 loss: 0.0227 (0.0228) loss_rec_all: 0.0587 (0.0589) loss_rec_sfr: 0.0861 (0.0856) loss_cl: -0.3679 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [19:46:54.252226] Epoch: [197] [360/850] eta: 0:07:10 lr: 0.002155 loss: 0.0206 (0.0227) loss_rec_all: 0.0569 (0.0589) loss_rec_sfr: 0.0570 (0.0847) loss_cl: -0.3672 (-0.3673) time: 0.8645 data: 0.0003 max mem: 29859 [19:47:11.506296] Epoch: [197] [380/850] eta: 0:06:52 lr: 0.002155 loss: 0.0216 (0.0227) loss_rec_all: 0.0577 (0.0588) loss_rec_sfr: 0.0629 (0.0843) loss_cl: -0.3673 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [19:47:28.806184] Epoch: [197] [400/850] eta: 0:06:34 lr: 0.002155 loss: 0.0221 (0.0227) loss_rec_all: 0.0583 (0.0588) loss_rec_sfr: 0.0680 (0.0841) loss_cl: -0.3676 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [19:47:46.052844] Epoch: [197] [420/850] eta: 0:06:16 lr: 0.002155 loss: 0.0226 (0.0227) loss_rec_all: 0.0587 (0.0589) loss_rec_sfr: 0.0849 (0.0842) loss_cl: -0.3668 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [19:48:03.345362] Epoch: [197] [440/850] eta: 0:05:59 lr: 0.002154 loss: 0.0248 (0.0229) loss_rec_all: 0.0610 (0.0590) loss_rec_sfr: 0.0690 (0.0842) loss_cl: -0.3672 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [19:48:20.595228] Epoch: [197] [460/850] eta: 0:05:41 lr: 0.002154 loss: 0.0273 (0.0231) loss_rec_all: 0.0632 (0.0592) loss_rec_sfr: 0.0973 (0.0847) loss_cl: -0.3673 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [19:48:37.879801] Epoch: [197] [480/850] eta: 0:05:23 lr: 0.002154 loss: 0.0258 (0.0233) loss_rec_all: 0.0620 (0.0594) loss_rec_sfr: 0.0725 (0.0847) loss_cl: -0.3679 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [19:48:55.100641] Epoch: [197] [500/850] eta: 0:05:05 lr: 0.002154 loss: 0.0266 (0.0234) loss_rec_all: 0.0630 (0.0595) loss_rec_sfr: 0.0772 (0.0849) loss_cl: -0.3669 (-0.3673) time: 0.8610 data: 0.0002 max mem: 29859 [19:49:12.379040] Epoch: [197] [520/850] eta: 0:04:48 lr: 0.002154 loss: 0.0269 (0.0236) loss_rec_all: 0.0630 (0.0597) loss_rec_sfr: 0.0912 (0.0852) loss_cl: -0.3668 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [19:49:29.635432] Epoch: [197] [540/850] eta: 0:04:30 lr: 0.002154 loss: 0.0236 (0.0236) loss_rec_all: 0.0600 (0.0598) loss_rec_sfr: 0.0632 (0.0849) loss_cl: -0.3668 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [19:49:46.916072] Epoch: [197] [560/850] eta: 0:04:13 lr: 0.002154 loss: 0.0227 (0.0237) loss_rec_all: 0.0590 (0.0598) loss_rec_sfr: 0.0622 (0.0848) loss_cl: -0.3672 (-0.3672) time: 0.8640 data: 0.0002 max mem: 29859 [19:50:04.157969] Epoch: [197] [580/850] eta: 0:03:55 lr: 0.002154 loss: 0.0235 (0.0237) loss_rec_all: 0.0595 (0.0598) loss_rec_sfr: 0.0663 (0.0846) loss_cl: -0.3670 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [19:50:21.460613] Epoch: [197] [600/850] eta: 0:03:38 lr: 0.002154 loss: 0.0229 (0.0237) loss_rec_all: 0.0591 (0.0598) loss_rec_sfr: 0.0726 (0.0846) loss_cl: -0.3680 (-0.3672) time: 0.8651 data: 0.0003 max mem: 29859 [19:50:38.717734] Epoch: [197] [620/850] eta: 0:03:20 lr: 0.002154 loss: 0.0225 (0.0237) loss_rec_all: 0.0588 (0.0598) loss_rec_sfr: 0.0678 (0.0844) loss_cl: -0.3675 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [19:50:56.012561] Epoch: [197] [640/850] eta: 0:03:03 lr: 0.002154 loss: 0.0225 (0.0236) loss_rec_all: 0.0583 (0.0598) loss_rec_sfr: 0.0860 (0.0846) loss_cl: -0.3671 (-0.3672) time: 0.8647 data: 0.0002 max mem: 29859 [19:51:13.267546] Epoch: [197] [660/850] eta: 0:02:45 lr: 0.002154 loss: 0.0220 (0.0236) loss_rec_all: 0.0583 (0.0597) loss_rec_sfr: 0.0850 (0.0846) loss_cl: -0.3671 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [19:51:30.545401] Epoch: [197] [680/850] eta: 0:02:28 lr: 0.002154 loss: 0.0204 (0.0236) loss_rec_all: 0.0566 (0.0597) loss_rec_sfr: 0.0676 (0.0845) loss_cl: -0.3672 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [19:51:47.795171] Epoch: [197] [700/850] eta: 0:02:10 lr: 0.002154 loss: 0.0221 (0.0235) loss_rec_all: 0.0583 (0.0597) loss_rec_sfr: 0.0679 (0.0845) loss_cl: -0.3675 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [19:52:05.083289] Epoch: [197] [720/850] eta: 0:01:53 lr: 0.002153 loss: 0.0206 (0.0235) loss_rec_all: 0.0568 (0.0596) loss_rec_sfr: 0.0647 (0.0844) loss_cl: -0.3671 (-0.3672) time: 0.8643 data: 0.0002 max mem: 29859 [19:52:22.319571] Epoch: [197] [740/850] eta: 0:01:35 lr: 0.002153 loss: 0.0218 (0.0234) loss_rec_all: 0.0579 (0.0596) loss_rec_sfr: 0.0876 (0.0845) loss_cl: -0.3674 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [19:52:39.595829] Epoch: [197] [760/850] eta: 0:01:18 lr: 0.002153 loss: 0.0212 (0.0234) loss_rec_all: 0.0574 (0.0595) loss_rec_sfr: 0.0804 (0.0846) loss_cl: -0.3669 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [19:52:56.841526] Epoch: [197] [780/850] eta: 0:01:00 lr: 0.002153 loss: 0.0210 (0.0234) loss_rec_all: 0.0574 (0.0595) loss_rec_sfr: 0.0694 (0.0845) loss_cl: -0.3674 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [19:53:14.151864] Epoch: [197] [800/850] eta: 0:00:43 lr: 0.002153 loss: 0.0217 (0.0234) loss_rec_all: 0.0577 (0.0595) loss_rec_sfr: 0.0852 (0.0845) loss_cl: -0.3679 (-0.3673) time: 0.8655 data: 0.0002 max mem: 29859 [19:53:31.421166] Epoch: [197] [820/850] eta: 0:00:26 lr: 0.002153 loss: 0.0221 (0.0233) loss_rec_all: 0.0580 (0.0595) loss_rec_sfr: 0.1030 (0.0849) loss_cl: -0.3674 (-0.3673) time: 0.8634 data: 0.0003 max mem: 29859 [19:53:48.694790] Epoch: [197] [840/850] eta: 0:00:08 lr: 0.002153 loss: 0.0211 (0.0233) loss_rec_all: 0.0574 (0.0594) loss_rec_sfr: 0.0577 (0.0847) loss_cl: -0.3667 (-0.3672) time: 0.8636 data: 0.0006 max mem: 29859 [19:53:57.641751] Epoch: [197] [849/850] eta: 0:00:00 lr: 0.002153 loss: 0.0202 (0.0233) loss_rec_all: 0.0564 (0.0594) loss_rec_sfr: 0.0632 (0.0845) loss_cl: -0.3665 (-0.3672) time: 0.9230 data: 0.0604 max mem: 29859 [19:53:57.786358] Epoch: [197] Total time: 0:12:20 (0.8714 s / it) [19:53:57.788928] Averaged stats: lr: 0.002153 loss: 0.0202 (0.0233) loss_rec_all: 0.0564 (0.0595) loss_rec_sfr: 0.0632 (0.0845) loss_cl: -0.3665 (-0.3673) [19:53:57.801433] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [19:54:06.479008] Epoch: [198] [ 0/850] eta: 2:02:55 lr: 0.002153 loss: 0.0201 (0.0201) loss_rec_all: 0.0559 (0.0559) loss_rec_sfr: 0.0996 (0.0996) loss_cl: -0.3656 (-0.3656) time: 8.6766 data: 7.6620 max mem: 29859 [19:54:23.713076] Epoch: [198] [ 20/850] eta: 0:17:04 lr: 0.002153 loss: 0.0219 (0.0223) loss_rec_all: 0.0580 (0.0583) loss_rec_sfr: 0.0829 (0.0843) loss_cl: -0.3667 (-0.3666) time: 0.8616 data: 0.0028 max mem: 29859 [19:54:40.971779] Epoch: [198] [ 40/850] eta: 0:14:12 lr: 0.002153 loss: 0.0198 (0.0214) loss_rec_all: 0.0559 (0.0575) loss_rec_sfr: 0.0654 (0.0801) loss_cl: -0.3674 (-0.3669) time: 0.8629 data: 0.0002 max mem: 29859 [19:54:58.208664] Epoch: [198] [ 60/850] eta: 0:13:02 lr: 0.002153 loss: 0.0206 (0.0216) loss_rec_all: 0.0569 (0.0578) loss_rec_sfr: 0.0656 (0.0792) loss_cl: -0.3677 (-0.3671) time: 0.8618 data: 0.0002 max mem: 29859 [19:55:15.494240] Epoch: [198] [ 80/850] eta: 0:12:18 lr: 0.002153 loss: 0.0224 (0.0218) loss_rec_all: 0.0584 (0.0580) loss_rec_sfr: 0.0875 (0.0812) loss_cl: -0.3680 (-0.3673) time: 0.8642 data: 0.0003 max mem: 29859 [19:55:32.733058] Epoch: [198] [100/850] eta: 0:11:44 lr: 0.002153 loss: 0.0213 (0.0217) loss_rec_all: 0.0575 (0.0579) loss_rec_sfr: 0.0638 (0.0805) loss_cl: -0.3678 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [19:55:50.033142] Epoch: [198] [120/850] eta: 0:11:17 lr: 0.002153 loss: 0.0232 (0.0220) loss_rec_all: 0.0594 (0.0581) loss_rec_sfr: 0.0867 (0.0819) loss_cl: -0.3672 (-0.3674) time: 0.8650 data: 0.0002 max mem: 29859 [19:56:07.283069] Epoch: [198] [140/850] eta: 0:10:51 lr: 0.002153 loss: 0.0223 (0.0221) loss_rec_all: 0.0584 (0.0582) loss_rec_sfr: 0.0895 (0.0830) loss_cl: -0.3668 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [19:56:24.582108] Epoch: [198] [160/850] eta: 0:10:29 lr: 0.002152 loss: 0.0224 (0.0221) loss_rec_all: 0.0583 (0.0583) loss_rec_sfr: 0.0849 (0.0834) loss_cl: -0.3665 (-0.3672) time: 0.8648 data: 0.0002 max mem: 29859 [19:56:41.844745] Epoch: [198] [180/850] eta: 0:10:07 lr: 0.002152 loss: 0.0199 (0.0220) loss_rec_all: 0.0561 (0.0582) loss_rec_sfr: 0.0608 (0.0828) loss_cl: -0.3666 (-0.3671) time: 0.8631 data: 0.0003 max mem: 29859 [19:56:59.124618] Epoch: [198] [200/850] eta: 0:09:46 lr: 0.002152 loss: 0.0216 (0.0221) loss_rec_all: 0.0575 (0.0582) loss_rec_sfr: 0.0845 (0.0831) loss_cl: -0.3672 (-0.3671) time: 0.8639 data: 0.0002 max mem: 29859 [19:57:16.372645] Epoch: [198] [220/850] eta: 0:09:26 lr: 0.002152 loss: 0.0232 (0.0222) loss_rec_all: 0.0592 (0.0584) loss_rec_sfr: 0.0668 (0.0831) loss_cl: -0.3676 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [19:57:33.669823] Epoch: [198] [240/850] eta: 0:09:06 lr: 0.002152 loss: 0.0234 (0.0226) loss_rec_all: 0.0598 (0.0587) loss_rec_sfr: 0.0714 (0.0836) loss_cl: -0.3679 (-0.3672) time: 0.8648 data: 0.0002 max mem: 29859 [19:57:50.912491] Epoch: [198] [260/850] eta: 0:08:46 lr: 0.002152 loss: 0.0260 (0.0229) loss_rec_all: 0.0622 (0.0590) loss_rec_sfr: 0.0945 (0.0842) loss_cl: -0.3683 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [19:58:08.195293] Epoch: [198] [280/850] eta: 0:08:27 lr: 0.002152 loss: 0.0252 (0.0231) loss_rec_all: 0.0615 (0.0593) loss_rec_sfr: 0.0707 (0.0843) loss_cl: -0.3677 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [19:58:25.448268] Epoch: [198] [300/850] eta: 0:08:09 lr: 0.002152 loss: 0.0245 (0.0232) loss_rec_all: 0.0605 (0.0594) loss_rec_sfr: 0.0675 (0.0841) loss_cl: -0.3669 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [19:58:42.713795] Epoch: [198] [320/850] eta: 0:07:50 lr: 0.002152 loss: 0.0231 (0.0232) loss_rec_all: 0.0593 (0.0594) loss_rec_sfr: 0.0625 (0.0838) loss_cl: -0.3667 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [19:58:59.957141] Epoch: [198] [340/850] eta: 0:07:31 lr: 0.002152 loss: 0.0228 (0.0232) loss_rec_all: 0.0590 (0.0594) loss_rec_sfr: 0.0698 (0.0841) loss_cl: -0.3666 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [19:59:17.232302] Epoch: [198] [360/850] eta: 0:07:13 lr: 0.002152 loss: 0.0220 (0.0232) loss_rec_all: 0.0581 (0.0593) loss_rec_sfr: 0.0598 (0.0837) loss_cl: -0.3672 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [19:59:34.488332] Epoch: [198] [380/850] eta: 0:06:55 lr: 0.002152 loss: 0.0208 (0.0231) loss_rec_all: 0.0570 (0.0592) loss_rec_sfr: 0.0662 (0.0833) loss_cl: -0.3681 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [19:59:51.787347] Epoch: [198] [400/850] eta: 0:06:37 lr: 0.002152 loss: 0.0204 (0.0230) loss_rec_all: 0.0568 (0.0591) loss_rec_sfr: 0.0615 (0.0830) loss_cl: -0.3681 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [20:00:09.030873] Epoch: [198] [420/850] eta: 0:06:19 lr: 0.002152 loss: 0.0205 (0.0229) loss_rec_all: 0.0569 (0.0591) loss_rec_sfr: 0.0628 (0.0828) loss_cl: -0.3673 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [20:00:26.324341] Epoch: [198] [440/850] eta: 0:06:01 lr: 0.002151 loss: 0.0220 (0.0229) loss_rec_all: 0.0579 (0.0591) loss_rec_sfr: 0.0899 (0.0829) loss_cl: -0.3668 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [20:00:43.559325] Epoch: [198] [460/850] eta: 0:05:43 lr: 0.002151 loss: 0.0237 (0.0230) loss_rec_all: 0.0596 (0.0591) loss_rec_sfr: 0.0843 (0.0831) loss_cl: -0.3668 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [20:01:00.847872] Epoch: [198] [480/850] eta: 0:05:25 lr: 0.002151 loss: 0.0240 (0.0230) loss_rec_all: 0.0602 (0.0592) loss_rec_sfr: 0.0860 (0.0833) loss_cl: -0.3666 (-0.3672) time: 0.8644 data: 0.0002 max mem: 29859 [20:01:18.085384] Epoch: [198] [500/850] eta: 0:05:07 lr: 0.002151 loss: 0.0212 (0.0230) loss_rec_all: 0.0575 (0.0591) loss_rec_sfr: 0.0594 (0.0831) loss_cl: -0.3672 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [20:01:35.376571] Epoch: [198] [520/850] eta: 0:04:49 lr: 0.002151 loss: 0.0221 (0.0229) loss_rec_all: 0.0581 (0.0591) loss_rec_sfr: 0.0760 (0.0832) loss_cl: -0.3673 (-0.3672) time: 0.8645 data: 0.0002 max mem: 29859 [20:01:52.609530] Epoch: [198] [540/850] eta: 0:04:32 lr: 0.002151 loss: 0.0211 (0.0229) loss_rec_all: 0.0574 (0.0590) loss_rec_sfr: 0.0709 (0.0833) loss_cl: -0.3682 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [20:02:09.870958] Epoch: [198] [560/850] eta: 0:04:14 lr: 0.002151 loss: 0.0212 (0.0229) loss_rec_all: 0.0575 (0.0590) loss_rec_sfr: 0.0632 (0.0833) loss_cl: -0.3678 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [20:02:27.109311] Epoch: [198] [580/850] eta: 0:03:56 lr: 0.002151 loss: 0.0211 (0.0228) loss_rec_all: 0.0573 (0.0590) loss_rec_sfr: 0.0631 (0.0829) loss_cl: -0.3673 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [20:02:44.414196] Epoch: [198] [600/850] eta: 0:03:39 lr: 0.002151 loss: 0.0229 (0.0228) loss_rec_all: 0.0591 (0.0590) loss_rec_sfr: 0.0663 (0.0829) loss_cl: -0.3672 (-0.3673) time: 0.8652 data: 0.0002 max mem: 29859 [20:03:01.648856] Epoch: [198] [620/850] eta: 0:03:21 lr: 0.002151 loss: 0.0217 (0.0228) loss_rec_all: 0.0576 (0.0590) loss_rec_sfr: 0.0640 (0.0829) loss_cl: -0.3676 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [20:03:18.942162] Epoch: [198] [640/850] eta: 0:03:03 lr: 0.002151 loss: 0.0206 (0.0228) loss_rec_all: 0.0569 (0.0589) loss_rec_sfr: 0.0582 (0.0825) loss_cl: -0.3677 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [20:03:36.172696] Epoch: [198] [660/850] eta: 0:02:46 lr: 0.002151 loss: 0.0224 (0.0228) loss_rec_all: 0.0587 (0.0589) loss_rec_sfr: 0.0879 (0.0828) loss_cl: -0.3674 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [20:03:53.449376] Epoch: [198] [680/850] eta: 0:02:28 lr: 0.002151 loss: 0.0214 (0.0228) loss_rec_all: 0.0576 (0.0589) loss_rec_sfr: 0.0671 (0.0828) loss_cl: -0.3669 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [20:04:10.684671] Epoch: [198] [700/850] eta: 0:02:11 lr: 0.002151 loss: 0.0216 (0.0228) loss_rec_all: 0.0577 (0.0589) loss_rec_sfr: 0.0672 (0.0828) loss_cl: -0.3664 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [20:04:27.967727] Epoch: [198] [720/850] eta: 0:01:53 lr: 0.002150 loss: 0.0213 (0.0227) loss_rec_all: 0.0573 (0.0589) loss_rec_sfr: 0.0838 (0.0828) loss_cl: -0.3664 (-0.3672) time: 0.8641 data: 0.0002 max mem: 29859 [20:04:45.204213] Epoch: [198] [740/850] eta: 0:01:36 lr: 0.002150 loss: 0.0206 (0.0227) loss_rec_all: 0.0569 (0.0588) loss_rec_sfr: 0.0632 (0.0828) loss_cl: -0.3674 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [20:05:02.477228] Epoch: [198] [760/850] eta: 0:01:18 lr: 0.002150 loss: 0.0215 (0.0227) loss_rec_all: 0.0575 (0.0588) loss_rec_sfr: 0.0879 (0.0828) loss_cl: -0.3679 (-0.3672) time: 0.8636 data: 0.0002 max mem: 29859 [20:05:19.720709] Epoch: [198] [780/850] eta: 0:01:01 lr: 0.002150 loss: 0.0213 (0.0227) loss_rec_all: 0.0577 (0.0588) loss_rec_sfr: 0.0700 (0.0827) loss_cl: -0.3682 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [20:05:36.991846] Epoch: [198] [800/850] eta: 0:00:43 lr: 0.002150 loss: 0.0217 (0.0227) loss_rec_all: 0.0580 (0.0588) loss_rec_sfr: 0.0681 (0.0827) loss_cl: -0.3681 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [20:05:54.239823] Epoch: [198] [820/850] eta: 0:00:26 lr: 0.002150 loss: 0.0224 (0.0227) loss_rec_all: 0.0585 (0.0588) loss_rec_sfr: 0.0860 (0.0830) loss_cl: -0.3679 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [20:06:11.525521] Epoch: [198] [840/850] eta: 0:00:08 lr: 0.002150 loss: 0.0230 (0.0227) loss_rec_all: 0.0591 (0.0588) loss_rec_sfr: 0.0827 (0.0830) loss_cl: -0.3676 (-0.3673) time: 0.8642 data: 0.0005 max mem: 29859 [20:06:21.299064] Epoch: [198] [849/850] eta: 0:00:00 lr: 0.002150 loss: 0.0236 (0.0227) loss_rec_all: 0.0597 (0.0588) loss_rec_sfr: 0.0872 (0.0831) loss_cl: -0.3674 (-0.3673) time: 0.9648 data: 0.0004 max mem: 29859 [20:06:21.434275] Epoch: [198] Total time: 0:12:23 (0.8749 s / it) [20:06:21.444906] Averaged stats: lr: 0.002150 loss: 0.0236 (0.0228) loss_rec_all: 0.0597 (0.0590) loss_rec_sfr: 0.0872 (0.0838) loss_cl: -0.3674 (-0.3673) [20:06:21.454791] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [20:06:27.183228] Epoch: [199] [ 0/850] eta: 1:21:08 lr: 0.002150 loss: 0.0206 (0.0206) loss_rec_all: 0.0570 (0.0570) loss_rec_sfr: 0.0584 (0.0584) loss_cl: -0.3675 (-0.3675) time: 5.7271 data: 4.8710 max mem: 29859 [20:06:44.368927] Epoch: [199] [ 20/850] eta: 0:15:05 lr: 0.002150 loss: 0.0221 (0.0222) loss_rec_all: 0.0583 (0.0583) loss_rec_sfr: 0.1000 (0.0910) loss_cl: -0.3673 (-0.3673) time: 0.8592 data: 0.0002 max mem: 29859 [20:07:01.660628] Epoch: [199] [ 40/850] eta: 0:13:14 lr: 0.002150 loss: 0.0218 (0.0223) loss_rec_all: 0.0581 (0.0584) loss_rec_sfr: 0.0612 (0.0869) loss_cl: -0.3674 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [20:07:18.894854] Epoch: [199] [ 60/850] eta: 0:12:23 lr: 0.002150 loss: 0.0220 (0.0227) loss_rec_all: 0.0582 (0.0589) loss_rec_sfr: 0.0859 (0.0874) loss_cl: -0.3676 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [20:07:36.185332] Epoch: [199] [ 80/850] eta: 0:11:50 lr: 0.002150 loss: 0.0221 (0.0230) loss_rec_all: 0.0586 (0.0592) loss_rec_sfr: 0.0626 (0.0857) loss_cl: -0.3683 (-0.3676) time: 0.8645 data: 0.0002 max mem: 29859 [20:07:53.447164] Epoch: [199] [100/850] eta: 0:11:23 lr: 0.002150 loss: 0.0220 (0.0230) loss_rec_all: 0.0584 (0.0591) loss_rec_sfr: 0.0722 (0.0858) loss_cl: -0.3681 (-0.3677) time: 0.8630 data: 0.0003 max mem: 29859 [20:08:10.759010] Epoch: [199] [120/850] eta: 0:10:59 lr: 0.002150 loss: 0.0228 (0.0230) loss_rec_all: 0.0587 (0.0592) loss_rec_sfr: 0.0880 (0.0864) loss_cl: -0.3677 (-0.3677) time: 0.8655 data: 0.0003 max mem: 29859 [20:08:28.023489] Epoch: [199] [140/850] eta: 0:10:37 lr: 0.002150 loss: 0.0233 (0.0233) loss_rec_all: 0.0593 (0.0594) loss_rec_sfr: 0.0669 (0.0857) loss_cl: -0.3671 (-0.3676) time: 0.8632 data: 0.0002 max mem: 29859 [20:08:45.328561] Epoch: [199] [160/850] eta: 0:10:16 lr: 0.002149 loss: 0.0257 (0.0236) loss_rec_all: 0.0615 (0.0597) loss_rec_sfr: 0.1127 (0.0877) loss_cl: -0.3662 (-0.3674) time: 0.8652 data: 0.0002 max mem: 29859 [20:09:02.570252] Epoch: [199] [180/850] eta: 0:09:56 lr: 0.002149 loss: 0.0224 (0.0235) loss_rec_all: 0.0584 (0.0596) loss_rec_sfr: 0.0936 (0.0875) loss_cl: -0.3663 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [20:09:19.844162] Epoch: [199] [200/850] eta: 0:09:36 lr: 0.002149 loss: 0.0210 (0.0234) loss_rec_all: 0.0573 (0.0595) loss_rec_sfr: 0.0630 (0.0865) loss_cl: -0.3668 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [20:09:37.110895] Epoch: [199] [220/850] eta: 0:09:17 lr: 0.002149 loss: 0.0229 (0.0235) loss_rec_all: 0.0592 (0.0596) loss_rec_sfr: 0.0905 (0.0862) loss_cl: -0.3676 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [20:09:54.408862] Epoch: [199] [240/850] eta: 0:08:58 lr: 0.002149 loss: 0.0217 (0.0234) loss_rec_all: 0.0580 (0.0596) loss_rec_sfr: 0.0628 (0.0855) loss_cl: -0.3681 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [20:10:11.695373] Epoch: [199] [260/850] eta: 0:08:40 lr: 0.002149 loss: 0.0248 (0.0235) loss_rec_all: 0.0607 (0.0597) loss_rec_sfr: 0.0896 (0.0855) loss_cl: -0.3674 (-0.3673) time: 0.8643 data: 0.0003 max mem: 29859 [20:10:29.003530] Epoch: [199] [280/850] eta: 0:08:22 lr: 0.002149 loss: 0.0224 (0.0235) loss_rec_all: 0.0586 (0.0597) loss_rec_sfr: 0.0896 (0.0858) loss_cl: -0.3671 (-0.3673) time: 0.8654 data: 0.0002 max mem: 29859 [20:10:46.248711] Epoch: [199] [300/850] eta: 0:08:03 lr: 0.002149 loss: 0.0219 (0.0235) loss_rec_all: 0.0581 (0.0597) loss_rec_sfr: 0.0643 (0.0854) loss_cl: -0.3668 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [20:11:03.563510] Epoch: [199] [320/850] eta: 0:07:45 lr: 0.002149 loss: 0.0210 (0.0235) loss_rec_all: 0.0569 (0.0596) loss_rec_sfr: 0.0649 (0.0851) loss_cl: -0.3664 (-0.3672) time: 0.8657 data: 0.0002 max mem: 29859 [20:11:20.813886] Epoch: [199] [340/850] eta: 0:07:27 lr: 0.002149 loss: 0.0211 (0.0234) loss_rec_all: 0.0573 (0.0596) loss_rec_sfr: 0.0656 (0.0845) loss_cl: -0.3667 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [20:11:38.087193] Epoch: [199] [360/850] eta: 0:07:09 lr: 0.002149 loss: 0.0214 (0.0234) loss_rec_all: 0.0576 (0.0595) loss_rec_sfr: 0.0720 (0.0842) loss_cl: -0.3675 (-0.3672) time: 0.8636 data: 0.0003 max mem: 29859 [20:11:55.326745] Epoch: [199] [380/850] eta: 0:06:51 lr: 0.002149 loss: 0.0210 (0.0233) loss_rec_all: 0.0571 (0.0594) loss_rec_sfr: 0.0613 (0.0836) loss_cl: -0.3681 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [20:12:12.628263] Epoch: [199] [400/850] eta: 0:06:34 lr: 0.002149 loss: 0.0214 (0.0232) loss_rec_all: 0.0577 (0.0593) loss_rec_sfr: 0.0937 (0.0842) loss_cl: -0.3683 (-0.3673) time: 0.8650 data: 0.0002 max mem: 29859 [20:12:29.892635] Epoch: [199] [420/850] eta: 0:06:16 lr: 0.002149 loss: 0.0197 (0.0231) loss_rec_all: 0.0562 (0.0592) loss_rec_sfr: 0.0635 (0.0840) loss_cl: -0.3682 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [20:12:47.174184] Epoch: [199] [440/850] eta: 0:05:58 lr: 0.002148 loss: 0.0198 (0.0229) loss_rec_all: 0.0561 (0.0591) loss_rec_sfr: 0.0559 (0.0833) loss_cl: -0.3670 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [20:13:04.429410] Epoch: [199] [460/850] eta: 0:05:40 lr: 0.002148 loss: 0.0213 (0.0229) loss_rec_all: 0.0576 (0.0591) loss_rec_sfr: 0.0699 (0.0833) loss_cl: -0.3671 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [20:13:21.713035] Epoch: [199] [480/850] eta: 0:05:23 lr: 0.002148 loss: 0.0228 (0.0229) loss_rec_all: 0.0587 (0.0591) loss_rec_sfr: 0.0637 (0.0831) loss_cl: -0.3665 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [20:13:38.975192] Epoch: [199] [500/850] eta: 0:05:05 lr: 0.002148 loss: 0.0222 (0.0229) loss_rec_all: 0.0583 (0.0591) loss_rec_sfr: 0.0629 (0.0827) loss_cl: -0.3664 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [20:13:56.272168] Epoch: [199] [520/850] eta: 0:04:48 lr: 0.002148 loss: 0.0253 (0.0230) loss_rec_all: 0.0611 (0.0592) loss_rec_sfr: 0.0914 (0.0832) loss_cl: -0.3673 (-0.3672) time: 0.8648 data: 0.0002 max mem: 29859 [20:14:13.546974] Epoch: [199] [540/850] eta: 0:04:30 lr: 0.002148 loss: 0.0236 (0.0230) loss_rec_all: 0.0596 (0.0592) loss_rec_sfr: 0.0713 (0.0834) loss_cl: -0.3675 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [20:14:30.829951] Epoch: [199] [560/850] eta: 0:04:12 lr: 0.002148 loss: 0.0236 (0.0231) loss_rec_all: 0.0595 (0.0592) loss_rec_sfr: 0.0881 (0.0834) loss_cl: -0.3681 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [20:14:48.079453] Epoch: [199] [580/850] eta: 0:03:55 lr: 0.002148 loss: 0.0230 (0.0231) loss_rec_all: 0.0593 (0.0593) loss_rec_sfr: 0.0658 (0.0834) loss_cl: -0.3676 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [20:15:05.372620] Epoch: [199] [600/850] eta: 0:03:37 lr: 0.002148 loss: 0.0231 (0.0231) loss_rec_all: 0.0591 (0.0593) loss_rec_sfr: 0.0687 (0.0837) loss_cl: -0.3671 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [20:15:22.612283] Epoch: [199] [620/850] eta: 0:03:20 lr: 0.002148 loss: 0.0214 (0.0231) loss_rec_all: 0.0577 (0.0593) loss_rec_sfr: 0.0609 (0.0834) loss_cl: -0.3675 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [20:15:39.927684] Epoch: [199] [640/850] eta: 0:03:02 lr: 0.002148 loss: 0.0222 (0.0231) loss_rec_all: 0.0581 (0.0592) loss_rec_sfr: 0.0670 (0.0833) loss_cl: -0.3675 (-0.3673) time: 0.8657 data: 0.0002 max mem: 29859 [20:15:57.172138] Epoch: [199] [660/850] eta: 0:02:45 lr: 0.002148 loss: 0.0231 (0.0231) loss_rec_all: 0.0589 (0.0593) loss_rec_sfr: 0.0947 (0.0838) loss_cl: -0.3676 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [20:16:14.464108] Epoch: [199] [680/850] eta: 0:02:28 lr: 0.002148 loss: 0.0214 (0.0231) loss_rec_all: 0.0577 (0.0592) loss_rec_sfr: 0.0595 (0.0835) loss_cl: -0.3679 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [20:16:31.703992] Epoch: [199] [700/850] eta: 0:02:10 lr: 0.002148 loss: 0.0216 (0.0231) loss_rec_all: 0.0579 (0.0592) loss_rec_sfr: 0.0928 (0.0837) loss_cl: -0.3675 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [20:16:49.003409] Epoch: [199] [720/850] eta: 0:01:53 lr: 0.002147 loss: 0.0220 (0.0231) loss_rec_all: 0.0580 (0.0592) loss_rec_sfr: 0.0839 (0.0838) loss_cl: -0.3668 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [20:17:06.242443] Epoch: [199] [740/850] eta: 0:01:35 lr: 0.002147 loss: 0.0208 (0.0231) loss_rec_all: 0.0570 (0.0592) loss_rec_sfr: 0.0651 (0.0838) loss_cl: -0.3665 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [20:17:23.518747] Epoch: [199] [760/850] eta: 0:01:18 lr: 0.002147 loss: 0.0209 (0.0230) loss_rec_all: 0.0573 (0.0592) loss_rec_sfr: 0.0719 (0.0839) loss_cl: -0.3669 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [20:17:40.762023] Epoch: [199] [780/850] eta: 0:01:00 lr: 0.002147 loss: 0.0221 (0.0230) loss_rec_all: 0.0581 (0.0591) loss_rec_sfr: 0.0990 (0.0841) loss_cl: -0.3675 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [20:17:58.038853] Epoch: [199] [800/850] eta: 0:00:43 lr: 0.002147 loss: 0.0218 (0.0230) loss_rec_all: 0.0580 (0.0591) loss_rec_sfr: 0.0669 (0.0840) loss_cl: -0.3680 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [20:18:15.302628] Epoch: [199] [820/850] eta: 0:00:26 lr: 0.002147 loss: 0.0227 (0.0230) loss_rec_all: 0.0588 (0.0591) loss_rec_sfr: 0.0913 (0.0843) loss_cl: -0.3680 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [20:18:32.588820] Epoch: [199] [840/850] eta: 0:00:08 lr: 0.002147 loss: 0.0224 (0.0230) loss_rec_all: 0.0588 (0.0591) loss_rec_sfr: 0.0858 (0.0844) loss_cl: -0.3677 (-0.3673) time: 0.8643 data: 0.0005 max mem: 29859 [20:18:40.348883] Epoch: [199] [849/850] eta: 0:00:00 lr: 0.002147 loss: 0.0225 (0.0230) loss_rec_all: 0.0589 (0.0591) loss_rec_sfr: 0.0904 (0.0845) loss_cl: -0.3677 (-0.3673) time: 0.8642 data: 0.0004 max mem: 29859 [20:18:40.491308] Epoch: [199] Total time: 0:12:19 (0.8695 s / it) [20:18:40.493897] Averaged stats: lr: 0.002147 loss: 0.0225 (0.0229) loss_rec_all: 0.0589 (0.0590) loss_rec_sfr: 0.0904 (0.0848) loss_cl: -0.3677 (-0.3673) [20:18:40.505995] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [20:18:46.143260] Epoch: [200] [ 0/850] eta: 1:19:50 lr: 0.002147 loss: 0.0231 (0.0231) loss_rec_all: 0.0590 (0.0590) loss_rec_sfr: 0.1228 (0.1228) loss_cl: -0.3668 (-0.3668) time: 5.6364 data: 4.4953 max mem: 29859 [20:19:03.384300] Epoch: [200] [ 20/850] eta: 0:15:04 lr: 0.002147 loss: 0.0209 (0.0219) loss_rec_all: 0.0570 (0.0581) loss_rec_sfr: 0.0817 (0.0868) loss_cl: -0.3674 (-0.3673) time: 0.8620 data: 0.0003 max mem: 29859 [20:19:20.682165] Epoch: [200] [ 40/850] eta: 0:13:13 lr: 0.002147 loss: 0.0208 (0.0218) loss_rec_all: 0.0568 (0.0579) loss_rec_sfr: 0.0641 (0.0840) loss_cl: -0.3670 (-0.3671) time: 0.8648 data: 0.0002 max mem: 29859 [20:19:37.959282] Epoch: [200] [ 60/850] eta: 0:12:24 lr: 0.002147 loss: 0.0209 (0.0218) loss_rec_all: 0.0572 (0.0579) loss_rec_sfr: 0.0652 (0.0837) loss_cl: -0.3667 (-0.3670) time: 0.8638 data: 0.0003 max mem: 29859 [20:19:55.256836] Epoch: [200] [ 80/850] eta: 0:11:50 lr: 0.002147 loss: 0.0208 (0.0216) loss_rec_all: 0.0570 (0.0578) loss_rec_sfr: 0.0635 (0.0822) loss_cl: -0.3670 (-0.3670) time: 0.8648 data: 0.0002 max mem: 29859 [20:20:12.535578] Epoch: [200] [100/850] eta: 0:11:23 lr: 0.002147 loss: 0.0217 (0.0216) loss_rec_all: 0.0575 (0.0578) loss_rec_sfr: 0.0612 (0.0813) loss_cl: -0.3671 (-0.3670) time: 0.8639 data: 0.0002 max mem: 29859 [20:20:29.828759] Epoch: [200] [120/850] eta: 0:10:59 lr: 0.002147 loss: 0.0220 (0.0218) loss_rec_all: 0.0579 (0.0579) loss_rec_sfr: 0.0635 (0.0811) loss_cl: -0.3670 (-0.3670) time: 0.8646 data: 0.0002 max mem: 29859 [20:20:47.102626] Epoch: [200] [140/850] eta: 0:10:37 lr: 0.002146 loss: 0.0208 (0.0220) loss_rec_all: 0.0570 (0.0581) loss_rec_sfr: 0.0870 (0.0816) loss_cl: -0.3670 (-0.3670) time: 0.8636 data: 0.0002 max mem: 29859 [20:21:04.440855] Epoch: [200] [160/850] eta: 0:10:16 lr: 0.002146 loss: 0.0239 (0.0221) loss_rec_all: 0.0599 (0.0583) loss_rec_sfr: 0.0840 (0.0821) loss_cl: -0.3674 (-0.3670) time: 0.8669 data: 0.0003 max mem: 29859 [20:21:21.719334] Epoch: [200] [180/850] eta: 0:09:56 lr: 0.002146 loss: 0.0206 (0.0221) loss_rec_all: 0.0570 (0.0583) loss_rec_sfr: 0.0629 (0.0811) loss_cl: -0.3674 (-0.3670) time: 0.8639 data: 0.0002 max mem: 29859 [20:21:39.029266] Epoch: [200] [200/850] eta: 0:09:37 lr: 0.002146 loss: 0.0204 (0.0221) loss_rec_all: 0.0568 (0.0583) loss_rec_sfr: 0.0640 (0.0809) loss_cl: -0.3680 (-0.3671) time: 0.8654 data: 0.0002 max mem: 29859 [20:21:56.298882] Epoch: [200] [220/850] eta: 0:09:18 lr: 0.002146 loss: 0.0215 (0.0221) loss_rec_all: 0.0577 (0.0582) loss_rec_sfr: 0.0608 (0.0803) loss_cl: -0.3682 (-0.3672) time: 0.8634 data: 0.0002 max mem: 29859 [20:22:13.624826] Epoch: [200] [240/850] eta: 0:08:59 lr: 0.002146 loss: 0.0220 (0.0221) loss_rec_all: 0.0580 (0.0583) loss_rec_sfr: 0.0661 (0.0807) loss_cl: -0.3674 (-0.3672) time: 0.8662 data: 0.0003 max mem: 29859 [20:22:30.894255] Epoch: [200] [260/850] eta: 0:08:40 lr: 0.002146 loss: 0.0209 (0.0221) loss_rec_all: 0.0572 (0.0582) loss_rec_sfr: 0.0639 (0.0806) loss_cl: -0.3677 (-0.3673) time: 0.8634 data: 0.0003 max mem: 29859 [20:22:48.180670] Epoch: [200] [280/850] eta: 0:08:22 lr: 0.002146 loss: 0.0205 (0.0220) loss_rec_all: 0.0568 (0.0582) loss_rec_sfr: 0.0674 (0.0809) loss_cl: -0.3677 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [20:23:05.465677] Epoch: [200] [300/850] eta: 0:08:04 lr: 0.002146 loss: 0.0218 (0.0221) loss_rec_all: 0.0582 (0.0582) loss_rec_sfr: 0.0686 (0.0811) loss_cl: -0.3672 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [20:23:22.762604] Epoch: [200] [320/850] eta: 0:07:45 lr: 0.002146 loss: 0.0219 (0.0221) loss_rec_all: 0.0581 (0.0583) loss_rec_sfr: 0.0681 (0.0814) loss_cl: -0.3670 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [20:23:40.011702] Epoch: [200] [340/850] eta: 0:07:27 lr: 0.002146 loss: 0.0202 (0.0220) loss_rec_all: 0.0565 (0.0582) loss_rec_sfr: 0.0681 (0.0813) loss_cl: -0.3668 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [20:23:57.320130] Epoch: [200] [360/850] eta: 0:07:09 lr: 0.002146 loss: 0.0203 (0.0220) loss_rec_all: 0.0566 (0.0582) loss_rec_sfr: 0.0652 (0.0809) loss_cl: -0.3671 (-0.3672) time: 0.8654 data: 0.0002 max mem: 29859 [20:24:14.566495] Epoch: [200] [380/850] eta: 0:06:52 lr: 0.002146 loss: 0.0215 (0.0220) loss_rec_all: 0.0574 (0.0581) loss_rec_sfr: 0.0901 (0.0814) loss_cl: -0.3673 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [20:24:31.885650] Epoch: [200] [400/850] eta: 0:06:34 lr: 0.002146 loss: 0.0206 (0.0220) loss_rec_all: 0.0564 (0.0581) loss_rec_sfr: 0.0902 (0.0820) loss_cl: -0.3674 (-0.3672) time: 0.8659 data: 0.0002 max mem: 29859 [20:24:49.149187] Epoch: [200] [420/850] eta: 0:06:16 lr: 0.002145 loss: 0.0214 (0.0220) loss_rec_all: 0.0577 (0.0582) loss_rec_sfr: 0.0672 (0.0819) loss_cl: -0.3671 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [20:25:06.423253] Epoch: [200] [440/850] eta: 0:05:58 lr: 0.002145 loss: 0.0215 (0.0220) loss_rec_all: 0.0574 (0.0582) loss_rec_sfr: 0.0652 (0.0818) loss_cl: -0.3666 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [20:25:23.680619] Epoch: [200] [460/850] eta: 0:05:41 lr: 0.002145 loss: 0.0225 (0.0221) loss_rec_all: 0.0585 (0.0582) loss_rec_sfr: 0.0822 (0.0818) loss_cl: -0.3674 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [20:25:40.961564] Epoch: [200] [480/850] eta: 0:05:23 lr: 0.002145 loss: 0.0201 (0.0220) loss_rec_all: 0.0566 (0.0582) loss_rec_sfr: 0.0637 (0.0816) loss_cl: -0.3679 (-0.3672) time: 0.8640 data: 0.0002 max mem: 29859 [20:25:58.216934] Epoch: [200] [500/850] eta: 0:05:05 lr: 0.002145 loss: 0.0212 (0.0220) loss_rec_all: 0.0576 (0.0581) loss_rec_sfr: 0.0587 (0.0812) loss_cl: -0.3673 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [20:26:15.500279] Epoch: [200] [520/850] eta: 0:04:48 lr: 0.002145 loss: 0.0203 (0.0220) loss_rec_all: 0.0562 (0.0581) loss_rec_sfr: 0.0880 (0.0814) loss_cl: -0.3668 (-0.3672) time: 0.8641 data: 0.0002 max mem: 29859 [20:26:32.751870] Epoch: [200] [540/850] eta: 0:04:30 lr: 0.002145 loss: 0.0205 (0.0220) loss_rec_all: 0.0567 (0.0581) loss_rec_sfr: 0.0692 (0.0816) loss_cl: -0.3669 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [20:26:50.052827] Epoch: [200] [560/850] eta: 0:04:13 lr: 0.002145 loss: 0.0212 (0.0220) loss_rec_all: 0.0575 (0.0582) loss_rec_sfr: 0.0653 (0.0816) loss_cl: -0.3673 (-0.3672) time: 0.8650 data: 0.0002 max mem: 29859 [20:27:07.294886] Epoch: [200] [580/850] eta: 0:03:55 lr: 0.002145 loss: 0.0232 (0.0221) loss_rec_all: 0.0595 (0.0582) loss_rec_sfr: 0.0954 (0.0821) loss_cl: -0.3672 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [20:27:24.599614] Epoch: [200] [600/850] eta: 0:03:37 lr: 0.002145 loss: 0.0264 (0.0223) loss_rec_all: 0.0626 (0.0584) loss_rec_sfr: 0.0976 (0.0827) loss_cl: -0.3671 (-0.3672) time: 0.8652 data: 0.0003 max mem: 29859 [20:27:41.839722] Epoch: [200] [620/850] eta: 0:03:20 lr: 0.002145 loss: 0.0256 (0.0224) loss_rec_all: 0.0615 (0.0585) loss_rec_sfr: 0.0929 (0.0830) loss_cl: -0.3675 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [20:27:59.135453] Epoch: [200] [640/850] eta: 0:03:03 lr: 0.002145 loss: 0.0240 (0.0225) loss_rec_all: 0.0600 (0.0586) loss_rec_sfr: 0.0955 (0.0834) loss_cl: -0.3678 (-0.3672) time: 0.8647 data: 0.0002 max mem: 29859 [20:28:16.362565] Epoch: [200] [660/850] eta: 0:02:45 lr: 0.002145 loss: 0.0229 (0.0225) loss_rec_all: 0.0593 (0.0587) loss_rec_sfr: 0.0652 (0.0832) loss_cl: -0.3682 (-0.3672) time: 0.8613 data: 0.0002 max mem: 29859 [20:28:33.674981] Epoch: [200] [680/850] eta: 0:02:28 lr: 0.002145 loss: 0.0220 (0.0225) loss_rec_all: 0.0580 (0.0587) loss_rec_sfr: 0.0657 (0.0831) loss_cl: -0.3676 (-0.3672) time: 0.8656 data: 0.0002 max mem: 29859 [20:28:50.942841] Epoch: [200] [700/850] eta: 0:02:10 lr: 0.002144 loss: 0.0212 (0.0225) loss_rec_all: 0.0575 (0.0586) loss_rec_sfr: 0.0625 (0.0827) loss_cl: -0.3673 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [20:29:08.221143] Epoch: [200] [720/850] eta: 0:01:53 lr: 0.002144 loss: 0.0212 (0.0225) loss_rec_all: 0.0575 (0.0586) loss_rec_sfr: 0.0633 (0.0827) loss_cl: -0.3672 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [20:29:25.496308] Epoch: [200] [740/850] eta: 0:01:35 lr: 0.002144 loss: 0.0202 (0.0224) loss_rec_all: 0.0566 (0.0586) loss_rec_sfr: 0.0600 (0.0826) loss_cl: -0.3679 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [20:29:42.775853] Epoch: [200] [760/850] eta: 0:01:18 lr: 0.002144 loss: 0.0238 (0.0225) loss_rec_all: 0.0597 (0.0586) loss_rec_sfr: 0.0865 (0.0828) loss_cl: -0.3677 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [20:30:00.044446] Epoch: [200] [780/850] eta: 0:01:00 lr: 0.002144 loss: 0.0210 (0.0225) loss_rec_all: 0.0573 (0.0586) loss_rec_sfr: 0.0611 (0.0825) loss_cl: -0.3675 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [20:30:17.333520] Epoch: [200] [800/850] eta: 0:00:43 lr: 0.002144 loss: 0.0218 (0.0225) loss_rec_all: 0.0578 (0.0586) loss_rec_sfr: 0.0957 (0.0828) loss_cl: -0.3670 (-0.3672) time: 0.8644 data: 0.0002 max mem: 29859 [20:30:34.593312] Epoch: [200] [820/850] eta: 0:00:26 lr: 0.002144 loss: 0.0234 (0.0225) loss_rec_all: 0.0596 (0.0587) loss_rec_sfr: 0.0877 (0.0830) loss_cl: -0.3671 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [20:30:51.881355] Epoch: [200] [840/850] eta: 0:00:08 lr: 0.002144 loss: 0.0218 (0.0225) loss_rec_all: 0.0580 (0.0587) loss_rec_sfr: 0.0628 (0.0829) loss_cl: -0.3670 (-0.3672) time: 0.8644 data: 0.0005 max mem: 29859 [20:31:01.559690] Epoch: [200] [849/850] eta: 0:00:00 lr: 0.002144 loss: 0.0218 (0.0225) loss_rec_all: 0.0580 (0.0587) loss_rec_sfr: 0.0602 (0.0827) loss_cl: -0.3661 (-0.3672) time: 0.9598 data: 0.0968 max mem: 29859 [20:31:01.702143] Epoch: [200] Total time: 0:12:21 (0.8720 s / it) [20:31:01.705023] Averaged stats: lr: 0.002144 loss: 0.0218 (0.0226) loss_rec_all: 0.0580 (0.0587) loss_rec_sfr: 0.0602 (0.0828) loss_cl: -0.3661 (-0.3673) [20:31:06.550950] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [20:31:13.204362] Epoch: [201] [ 0/850] eta: 1:34:14 lr: 0.002144 loss: 0.0206 (0.0206) loss_rec_all: 0.0568 (0.0568) loss_rec_sfr: 0.0623 (0.0623) loss_cl: -0.3666 (-0.3666) time: 6.6525 data: 5.7971 max mem: 29859 [20:31:30.356276] Epoch: [201] [ 20/850] eta: 0:15:40 lr: 0.002144 loss: 0.0194 (0.0205) loss_rec_all: 0.0556 (0.0567) loss_rec_sfr: 0.0631 (0.0682) loss_cl: -0.3671 (-0.3668) time: 0.8575 data: 0.0002 max mem: 29859 [20:31:47.589943] Epoch: [201] [ 40/850] eta: 0:13:30 lr: 0.002144 loss: 0.0208 (0.0209) loss_rec_all: 0.0571 (0.0572) loss_rec_sfr: 0.0640 (0.0719) loss_cl: -0.3681 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [20:32:04.831922] Epoch: [201] [ 60/850] eta: 0:12:34 lr: 0.002144 loss: 0.0230 (0.0219) loss_rec_all: 0.0592 (0.0581) loss_rec_sfr: 0.0882 (0.0769) loss_cl: -0.3685 (-0.3677) time: 0.8620 data: 0.0003 max mem: 29859 [20:32:22.091971] Epoch: [201] [ 80/850] eta: 0:11:58 lr: 0.002144 loss: 0.0215 (0.0221) loss_rec_all: 0.0576 (0.0584) loss_rec_sfr: 0.0843 (0.0781) loss_cl: -0.3676 (-0.3676) time: 0.8630 data: 0.0003 max mem: 29859 [20:32:39.355460] Epoch: [201] [100/850] eta: 0:11:29 lr: 0.002144 loss: 0.0214 (0.0221) loss_rec_all: 0.0574 (0.0583) loss_rec_sfr: 0.0658 (0.0795) loss_cl: -0.3672 (-0.3675) time: 0.8631 data: 0.0003 max mem: 29859 [20:32:56.673987] Epoch: [201] [120/850] eta: 0:11:04 lr: 0.002143 loss: 0.0214 (0.0220) loss_rec_all: 0.0575 (0.0581) loss_rec_sfr: 0.0723 (0.0795) loss_cl: -0.3667 (-0.3674) time: 0.8659 data: 0.0003 max mem: 29859 [20:33:13.923285] Epoch: [201] [140/850] eta: 0:10:41 lr: 0.002143 loss: 0.0206 (0.0219) loss_rec_all: 0.0569 (0.0581) loss_rec_sfr: 0.0638 (0.0786) loss_cl: -0.3666 (-0.3673) time: 0.8624 data: 0.0003 max mem: 29859 [20:33:31.255969] Epoch: [201] [160/850] eta: 0:10:20 lr: 0.002143 loss: 0.0206 (0.0218) loss_rec_all: 0.0567 (0.0580) loss_rec_sfr: 0.0665 (0.0786) loss_cl: -0.3670 (-0.3672) time: 0.8666 data: 0.0003 max mem: 29859 [20:33:48.512414] Epoch: [201] [180/850] eta: 0:09:59 lr: 0.002143 loss: 0.0218 (0.0219) loss_rec_all: 0.0580 (0.0581) loss_rec_sfr: 0.0842 (0.0796) loss_cl: -0.3676 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [20:34:05.828900] Epoch: [201] [200/850] eta: 0:09:39 lr: 0.002143 loss: 0.0225 (0.0220) loss_rec_all: 0.0584 (0.0582) loss_rec_sfr: 0.0793 (0.0803) loss_cl: -0.3679 (-0.3673) time: 0.8658 data: 0.0003 max mem: 29859 [20:34:23.088988] Epoch: [201] [220/850] eta: 0:09:20 lr: 0.002143 loss: 0.0223 (0.0221) loss_rec_all: 0.0584 (0.0583) loss_rec_sfr: 0.0815 (0.0806) loss_cl: -0.3685 (-0.3674) time: 0.8630 data: 0.0003 max mem: 29859 [20:34:40.391206] Epoch: [201] [240/850] eta: 0:09:01 lr: 0.002143 loss: 0.0220 (0.0221) loss_rec_all: 0.0583 (0.0583) loss_rec_sfr: 0.0853 (0.0808) loss_cl: -0.3680 (-0.3675) time: 0.8651 data: 0.0003 max mem: 29859 [20:34:57.621773] Epoch: [201] [260/850] eta: 0:08:42 lr: 0.002143 loss: 0.0222 (0.0222) loss_rec_all: 0.0584 (0.0584) loss_rec_sfr: 0.0852 (0.0813) loss_cl: -0.3670 (-0.3674) time: 0.8615 data: 0.0003 max mem: 29859 [20:35:14.891160] Epoch: [201] [280/850] eta: 0:08:23 lr: 0.002143 loss: 0.0218 (0.0222) loss_rec_all: 0.0580 (0.0583) loss_rec_sfr: 0.0754 (0.0819) loss_cl: -0.3662 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [20:35:32.168651] Epoch: [201] [300/850] eta: 0:08:05 lr: 0.002143 loss: 0.0210 (0.0221) loss_rec_all: 0.0572 (0.0583) loss_rec_sfr: 0.0983 (0.0823) loss_cl: -0.3660 (-0.3672) time: 0.8638 data: 0.0003 max mem: 29859 [20:35:49.464259] Epoch: [201] [320/850] eta: 0:07:47 lr: 0.002143 loss: 0.0205 (0.0221) loss_rec_all: 0.0567 (0.0582) loss_rec_sfr: 0.0657 (0.0820) loss_cl: -0.3666 (-0.3672) time: 0.8647 data: 0.0003 max mem: 29859 [20:36:06.732038] Epoch: [201] [340/850] eta: 0:07:28 lr: 0.002143 loss: 0.0202 (0.0220) loss_rec_all: 0.0565 (0.0581) loss_rec_sfr: 0.0686 (0.0819) loss_cl: -0.3677 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [20:36:24.022412] Epoch: [201] [360/850] eta: 0:07:10 lr: 0.002143 loss: 0.0216 (0.0220) loss_rec_all: 0.0577 (0.0581) loss_rec_sfr: 0.0716 (0.0818) loss_cl: -0.3686 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [20:36:41.289631] Epoch: [201] [380/850] eta: 0:06:52 lr: 0.002143 loss: 0.0198 (0.0219) loss_rec_all: 0.0563 (0.0581) loss_rec_sfr: 0.0598 (0.0817) loss_cl: -0.3684 (-0.3674) time: 0.8633 data: 0.0003 max mem: 29859 [20:36:58.585133] Epoch: [201] [400/850] eta: 0:06:35 lr: 0.002142 loss: 0.0215 (0.0220) loss_rec_all: 0.0578 (0.0581) loss_rec_sfr: 0.0859 (0.0819) loss_cl: -0.3673 (-0.3674) time: 0.8647 data: 0.0003 max mem: 29859 [20:37:15.856643] Epoch: [201] [420/850] eta: 0:06:17 lr: 0.002142 loss: 0.0213 (0.0220) loss_rec_all: 0.0574 (0.0581) loss_rec_sfr: 0.0844 (0.0817) loss_cl: -0.3670 (-0.3673) time: 0.8635 data: 0.0003 max mem: 29859 [20:37:33.170376] Epoch: [201] [440/850] eta: 0:05:59 lr: 0.002142 loss: 0.0237 (0.0221) loss_rec_all: 0.0599 (0.0582) loss_rec_sfr: 0.0725 (0.0818) loss_cl: -0.3662 (-0.3673) time: 0.8656 data: 0.0003 max mem: 29859 [20:37:50.451029] Epoch: [201] [460/850] eta: 0:05:41 lr: 0.002142 loss: 0.0237 (0.0222) loss_rec_all: 0.0597 (0.0583) loss_rec_sfr: 0.0638 (0.0816) loss_cl: -0.3667 (-0.3673) time: 0.8640 data: 0.0003 max mem: 29859 [20:38:07.725190] Epoch: [201] [480/850] eta: 0:05:23 lr: 0.002142 loss: 0.0223 (0.0222) loss_rec_all: 0.0585 (0.0584) loss_rec_sfr: 0.0601 (0.0817) loss_cl: -0.3676 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [20:38:24.971431] Epoch: [201] [500/850] eta: 0:05:06 lr: 0.002142 loss: 0.0218 (0.0222) loss_rec_all: 0.0580 (0.0584) loss_rec_sfr: 0.0812 (0.0820) loss_cl: -0.3681 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [20:38:43.429689] Epoch: [201] [520/850] eta: 0:04:49 lr: 0.002142 loss: 0.0211 (0.0222) loss_rec_all: 0.0573 (0.0584) loss_rec_sfr: 0.0814 (0.0819) loss_cl: -0.3677 (-0.3673) time: 0.9229 data: 0.0003 max mem: 29859 [20:39:05.348310] Epoch: [201] [540/850] eta: 0:04:34 lr: 0.002142 loss: 0.0206 (0.0222) loss_rec_all: 0.0569 (0.0584) loss_rec_sfr: 0.0594 (0.0814) loss_cl: -0.3672 (-0.3673) time: 1.0959 data: 0.1562 max mem: 29859 [20:39:27.311941] Epoch: [201] [560/850] eta: 0:04:18 lr: 0.002142 loss: 0.0210 (0.0222) loss_rec_all: 0.0571 (0.0584) loss_rec_sfr: 0.0841 (0.0815) loss_cl: -0.3673 (-0.3673) time: 1.0981 data: 0.2379 max mem: 29859 [20:39:49.841644] Epoch: [201] [580/850] eta: 0:04:03 lr: 0.002142 loss: 0.0210 (0.0222) loss_rec_all: 0.0571 (0.0583) loss_rec_sfr: 0.0656 (0.0814) loss_cl: -0.3672 (-0.3673) time: 1.1264 data: 0.2683 max mem: 29859 [20:40:11.361825] Epoch: [201] [600/850] eta: 0:03:46 lr: 0.002142 loss: 0.0234 (0.0222) loss_rec_all: 0.0591 (0.0584) loss_rec_sfr: 0.0878 (0.0817) loss_cl: -0.3676 (-0.3673) time: 1.0759 data: 0.1874 max mem: 29859 [20:40:34.172535] Epoch: [201] [620/850] eta: 0:03:30 lr: 0.002142 loss: 0.0211 (0.0222) loss_rec_all: 0.0574 (0.0584) loss_rec_sfr: 0.0593 (0.0813) loss_cl: -0.3675 (-0.3673) time: 1.1405 data: 0.0725 max mem: 29859 [20:40:56.026532] Epoch: [201] [640/850] eta: 0:03:13 lr: 0.002142 loss: 0.0215 (0.0222) loss_rec_all: 0.0576 (0.0584) loss_rec_sfr: 0.0856 (0.0814) loss_cl: -0.3670 (-0.3673) time: 1.0927 data: 0.0002 max mem: 29859 [20:41:16.532460] Epoch: [201] [660/850] eta: 0:02:55 lr: 0.002142 loss: 0.0214 (0.0222) loss_rec_all: 0.0574 (0.0583) loss_rec_sfr: 0.0886 (0.0815) loss_cl: -0.3669 (-0.3673) time: 1.0252 data: 0.0254 max mem: 29859 [20:41:39.057823] Epoch: [201] [680/850] eta: 0:02:37 lr: 0.002141 loss: 0.0201 (0.0222) loss_rec_all: 0.0564 (0.0583) loss_rec_sfr: 0.0576 (0.0814) loss_cl: -0.3663 (-0.3673) time: 1.1262 data: 0.1324 max mem: 29859 [20:42:01.739697] Epoch: [201] [700/850] eta: 0:02:20 lr: 0.002141 loss: 0.0215 (0.0222) loss_rec_all: 0.0576 (0.0583) loss_rec_sfr: 0.0833 (0.0814) loss_cl: -0.3674 (-0.3673) time: 1.1340 data: 0.1931 max mem: 29859 [20:42:23.626510] Epoch: [201] [720/850] eta: 0:02:02 lr: 0.002141 loss: 0.0217 (0.0222) loss_rec_all: 0.0581 (0.0583) loss_rec_sfr: 0.0668 (0.0815) loss_cl: -0.3680 (-0.3673) time: 1.0943 data: 0.1885 max mem: 29859 [20:42:46.062303] Epoch: [201] [740/850] eta: 0:01:43 lr: 0.002141 loss: 0.0216 (0.0221) loss_rec_all: 0.0578 (0.0583) loss_rec_sfr: 0.0672 (0.0815) loss_cl: -0.3680 (-0.3673) time: 1.1217 data: 0.1418 max mem: 29859 [20:43:09.915201] Epoch: [201] [760/850] eta: 0:01:25 lr: 0.002141 loss: 0.0207 (0.0221) loss_rec_all: 0.0570 (0.0583) loss_rec_sfr: 0.0801 (0.0815) loss_cl: -0.3677 (-0.3673) time: 1.1926 data: 0.0476 max mem: 29859 [20:43:33.690893] Epoch: [201] [780/850] eta: 0:01:06 lr: 0.002141 loss: 0.0217 (0.0221) loss_rec_all: 0.0580 (0.0583) loss_rec_sfr: 0.0673 (0.0816) loss_cl: -0.3672 (-0.3673) time: 1.1887 data: 0.1536 max mem: 29859 [20:43:55.798138] Epoch: [201] [800/850] eta: 0:00:48 lr: 0.002141 loss: 0.0210 (0.0221) loss_rec_all: 0.0572 (0.0583) loss_rec_sfr: 0.0666 (0.0815) loss_cl: -0.3668 (-0.3673) time: 1.1053 data: 0.0116 max mem: 29859 [20:44:18.603097] Epoch: [201] [820/850] eta: 0:00:28 lr: 0.002141 loss: 0.0232 (0.0222) loss_rec_all: 0.0591 (0.0583) loss_rec_sfr: 0.0876 (0.0818) loss_cl: -0.3666 (-0.3673) time: 1.1402 data: 0.0931 max mem: 29859 [20:44:39.698552] Epoch: [201] [840/850] eta: 0:00:09 lr: 0.002141 loss: 0.0235 (0.0222) loss_rec_all: 0.0593 (0.0584) loss_rec_sfr: 0.0759 (0.0818) loss_cl: -0.3670 (-0.3673) time: 1.0547 data: 0.1491 max mem: 29859 [20:44:56.871717] Epoch: [201] [849/850] eta: 0:00:00 lr: 0.002141 loss: 0.0244 (0.0222) loss_rec_all: 0.0607 (0.0584) loss_rec_sfr: 0.0759 (0.0818) loss_cl: -0.3670 (-0.3673) time: 1.3945 data: 0.5099 max mem: 29859 [20:44:57.016347] Epoch: [201] Total time: 0:13:50 (0.9770 s / it) [20:44:57.018915] Averaged stats: lr: 0.002141 loss: 0.0244 (0.0223) loss_rec_all: 0.0607 (0.0585) loss_rec_sfr: 0.0759 (0.0832) loss_cl: -0.3670 (-0.3673) [20:44:57.048163] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [20:45:04.705728] Epoch: [202] [ 0/850] eta: 1:48:28 lr: 0.002141 loss: 0.0208 (0.0208) loss_rec_all: 0.0573 (0.0573) loss_rec_sfr: 0.0557 (0.0557) loss_cl: -0.3690 (-0.3690) time: 7.6567 data: 6.8089 max mem: 29859 [20:45:21.764820] Epoch: [202] [ 20/850] eta: 0:16:16 lr: 0.002141 loss: 0.0223 (0.0236) loss_rec_all: 0.0583 (0.0598) loss_rec_sfr: 0.0973 (0.0926) loss_cl: -0.3680 (-0.3678) time: 0.8529 data: 0.0002 max mem: 29859 [20:45:38.950671] Epoch: [202] [ 40/850] eta: 0:13:47 lr: 0.002141 loss: 0.0207 (0.0227) loss_rec_all: 0.0569 (0.0589) loss_rec_sfr: 0.0665 (0.0877) loss_cl: -0.3676 (-0.3677) time: 0.8592 data: 0.0002 max mem: 29859 [20:45:56.133045] Epoch: [202] [ 60/850] eta: 0:12:45 lr: 0.002141 loss: 0.0206 (0.0221) loss_rec_all: 0.0569 (0.0583) loss_rec_sfr: 0.0628 (0.0832) loss_cl: -0.3676 (-0.3676) time: 0.8590 data: 0.0003 max mem: 29859 [20:46:13.451653] Epoch: [202] [ 80/850] eta: 0:12:06 lr: 0.002141 loss: 0.0215 (0.0220) loss_rec_all: 0.0576 (0.0582) loss_rec_sfr: 0.0645 (0.0817) loss_cl: -0.3670 (-0.3675) time: 0.8659 data: 0.0003 max mem: 29859 [20:46:30.676302] Epoch: [202] [100/850] eta: 0:11:35 lr: 0.002140 loss: 0.0205 (0.0218) loss_rec_all: 0.0568 (0.0580) loss_rec_sfr: 0.0580 (0.0796) loss_cl: -0.3670 (-0.3674) time: 0.8612 data: 0.0003 max mem: 29859 [20:46:47.943025] Epoch: [202] [120/850] eta: 0:11:08 lr: 0.002140 loss: 0.0210 (0.0219) loss_rec_all: 0.0572 (0.0580) loss_rec_sfr: 0.0863 (0.0810) loss_cl: -0.3665 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [20:47:05.183669] Epoch: [202] [140/850] eta: 0:10:45 lr: 0.002140 loss: 0.0203 (0.0218) loss_rec_all: 0.0567 (0.0580) loss_rec_sfr: 0.0596 (0.0795) loss_cl: -0.3669 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [20:47:22.482655] Epoch: [202] [160/850] eta: 0:10:23 lr: 0.002140 loss: 0.0233 (0.0221) loss_rec_all: 0.0595 (0.0582) loss_rec_sfr: 0.0957 (0.0810) loss_cl: -0.3670 (-0.3672) time: 0.8649 data: 0.0003 max mem: 29859 [20:47:39.713034] Epoch: [202] [180/850] eta: 0:10:02 lr: 0.002140 loss: 0.0220 (0.0222) loss_rec_all: 0.0581 (0.0584) loss_rec_sfr: 0.0648 (0.0812) loss_cl: -0.3675 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [20:47:56.988602] Epoch: [202] [200/850] eta: 0:09:41 lr: 0.002140 loss: 0.0233 (0.0224) loss_rec_all: 0.0594 (0.0585) loss_rec_sfr: 0.0882 (0.0824) loss_cl: -0.3676 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [20:48:14.238888] Epoch: [202] [220/850] eta: 0:09:22 lr: 0.002140 loss: 0.0241 (0.0226) loss_rec_all: 0.0601 (0.0587) loss_rec_sfr: 0.0944 (0.0845) loss_cl: -0.3676 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [20:48:31.510159] Epoch: [202] [240/850] eta: 0:09:02 lr: 0.002140 loss: 0.0220 (0.0227) loss_rec_all: 0.0582 (0.0588) loss_rec_sfr: 0.0880 (0.0843) loss_cl: -0.3675 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [20:48:48.769724] Epoch: [202] [260/850] eta: 0:08:43 lr: 0.002140 loss: 0.0209 (0.0226) loss_rec_all: 0.0572 (0.0588) loss_rec_sfr: 0.0672 (0.0837) loss_cl: -0.3679 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [20:49:06.061247] Epoch: [202] [280/850] eta: 0:08:25 lr: 0.002140 loss: 0.0225 (0.0226) loss_rec_all: 0.0589 (0.0587) loss_rec_sfr: 0.0810 (0.0840) loss_cl: -0.3678 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [20:49:23.287325] Epoch: [202] [300/850] eta: 0:08:06 lr: 0.002140 loss: 0.0209 (0.0226) loss_rec_all: 0.0569 (0.0587) loss_rec_sfr: 0.0818 (0.0842) loss_cl: -0.3672 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [20:49:40.583507] Epoch: [202] [320/850] eta: 0:07:48 lr: 0.002140 loss: 0.0199 (0.0225) loss_rec_all: 0.0563 (0.0586) loss_rec_sfr: 0.0600 (0.0835) loss_cl: -0.3674 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [20:49:57.835354] Epoch: [202] [340/850] eta: 0:07:29 lr: 0.002140 loss: 0.0208 (0.0224) loss_rec_all: 0.0570 (0.0586) loss_rec_sfr: 0.0841 (0.0833) loss_cl: -0.3672 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [20:50:15.132011] Epoch: [202] [360/850] eta: 0:07:11 lr: 0.002140 loss: 0.0231 (0.0225) loss_rec_all: 0.0590 (0.0586) loss_rec_sfr: 0.0855 (0.0833) loss_cl: -0.3674 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [20:50:32.368386] Epoch: [202] [380/850] eta: 0:06:53 lr: 0.002139 loss: 0.0221 (0.0225) loss_rec_all: 0.0581 (0.0587) loss_rec_sfr: 0.0754 (0.0835) loss_cl: -0.3672 (-0.3673) time: 0.8618 data: 0.0003 max mem: 29859 [20:50:49.651041] Epoch: [202] [400/850] eta: 0:06:35 lr: 0.002139 loss: 0.0218 (0.0225) loss_rec_all: 0.0580 (0.0587) loss_rec_sfr: 0.0898 (0.0837) loss_cl: -0.3675 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [20:51:06.889226] Epoch: [202] [420/850] eta: 0:06:17 lr: 0.002139 loss: 0.0236 (0.0227) loss_rec_all: 0.0596 (0.0588) loss_rec_sfr: 0.0889 (0.0840) loss_cl: -0.3677 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [20:51:24.177318] Epoch: [202] [440/850] eta: 0:05:59 lr: 0.002139 loss: 0.0230 (0.0228) loss_rec_all: 0.0590 (0.0589) loss_rec_sfr: 0.0962 (0.0842) loss_cl: -0.3674 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [20:51:41.415669] Epoch: [202] [460/850] eta: 0:05:42 lr: 0.002139 loss: 0.0230 (0.0228) loss_rec_all: 0.0591 (0.0589) loss_rec_sfr: 0.0734 (0.0843) loss_cl: -0.3673 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [20:51:58.686738] Epoch: [202] [480/850] eta: 0:05:24 lr: 0.002139 loss: 0.0223 (0.0228) loss_rec_all: 0.0582 (0.0590) loss_rec_sfr: 0.0664 (0.0842) loss_cl: -0.3672 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [20:52:15.913189] Epoch: [202] [500/850] eta: 0:05:06 lr: 0.002139 loss: 0.0227 (0.0228) loss_rec_all: 0.0586 (0.0590) loss_rec_sfr: 0.0863 (0.0842) loss_cl: -0.3670 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [20:52:33.156692] Epoch: [202] [520/850] eta: 0:04:48 lr: 0.002139 loss: 0.0220 (0.0228) loss_rec_all: 0.0582 (0.0590) loss_rec_sfr: 0.0663 (0.0839) loss_cl: -0.3669 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [20:52:50.381995] Epoch: [202] [540/850] eta: 0:04:31 lr: 0.002139 loss: 0.0214 (0.0228) loss_rec_all: 0.0573 (0.0590) loss_rec_sfr: 0.0867 (0.0841) loss_cl: -0.3670 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [20:53:07.655943] Epoch: [202] [560/850] eta: 0:04:13 lr: 0.002139 loss: 0.0193 (0.0227) loss_rec_all: 0.0556 (0.0589) loss_rec_sfr: 0.0572 (0.0833) loss_cl: -0.3675 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [20:53:24.901574] Epoch: [202] [580/850] eta: 0:03:55 lr: 0.002139 loss: 0.0210 (0.0227) loss_rec_all: 0.0574 (0.0588) loss_rec_sfr: 0.0619 (0.0831) loss_cl: -0.3674 (-0.3673) time: 0.8622 data: 0.0003 max mem: 29859 [20:53:42.230321] Epoch: [202] [600/850] eta: 0:03:38 lr: 0.002139 loss: 0.0203 (0.0226) loss_rec_all: 0.0566 (0.0588) loss_rec_sfr: 0.0797 (0.0830) loss_cl: -0.3673 (-0.3673) time: 0.8664 data: 0.0002 max mem: 29859 [20:53:59.459359] Epoch: [202] [620/850] eta: 0:03:20 lr: 0.002139 loss: 0.0205 (0.0226) loss_rec_all: 0.0569 (0.0588) loss_rec_sfr: 0.0686 (0.0830) loss_cl: -0.3678 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [20:54:16.735051] Epoch: [202] [640/850] eta: 0:03:03 lr: 0.002139 loss: 0.0199 (0.0226) loss_rec_all: 0.0562 (0.0587) loss_rec_sfr: 0.0605 (0.0829) loss_cl: -0.3681 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [20:54:33.955190] Epoch: [202] [660/850] eta: 0:02:45 lr: 0.002138 loss: 0.0231 (0.0226) loss_rec_all: 0.0593 (0.0587) loss_rec_sfr: 0.0687 (0.0831) loss_cl: -0.3675 (-0.3673) time: 0.8610 data: 0.0002 max mem: 29859 [20:54:51.233368] Epoch: [202] [680/850] eta: 0:02:28 lr: 0.002138 loss: 0.0226 (0.0226) loss_rec_all: 0.0587 (0.0588) loss_rec_sfr: 0.0643 (0.0829) loss_cl: -0.3675 (-0.3673) time: 0.8638 data: 0.0003 max mem: 29859 [20:55:08.463844] Epoch: [202] [700/850] eta: 0:02:10 lr: 0.002138 loss: 0.0212 (0.0226) loss_rec_all: 0.0571 (0.0587) loss_rec_sfr: 0.0630 (0.0829) loss_cl: -0.3666 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [20:55:25.718354] Epoch: [202] [720/850] eta: 0:01:53 lr: 0.002138 loss: 0.0233 (0.0226) loss_rec_all: 0.0592 (0.0588) loss_rec_sfr: 0.0861 (0.0830) loss_cl: -0.3671 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [20:55:43.041723] Epoch: [202] [740/850] eta: 0:01:35 lr: 0.002138 loss: 0.0223 (0.0226) loss_rec_all: 0.0585 (0.0587) loss_rec_sfr: 0.0863 (0.0832) loss_cl: -0.3675 (-0.3673) time: 0.8661 data: 0.0002 max mem: 29859 [20:56:00.314339] Epoch: [202] [760/850] eta: 0:01:18 lr: 0.002138 loss: 0.0213 (0.0226) loss_rec_all: 0.0576 (0.0587) loss_rec_sfr: 0.0637 (0.0832) loss_cl: -0.3673 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [20:56:17.538155] Epoch: [202] [780/850] eta: 0:01:00 lr: 0.002138 loss: 0.0225 (0.0226) loss_rec_all: 0.0584 (0.0587) loss_rec_sfr: 0.0836 (0.0834) loss_cl: -0.3673 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [20:56:34.790620] Epoch: [202] [800/850] eta: 0:00:43 lr: 0.002138 loss: 0.0223 (0.0226) loss_rec_all: 0.0586 (0.0587) loss_rec_sfr: 0.0627 (0.0834) loss_cl: -0.3673 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [20:56:52.025323] Epoch: [202] [820/850] eta: 0:00:26 lr: 0.002138 loss: 0.0225 (0.0226) loss_rec_all: 0.0588 (0.0588) loss_rec_sfr: 0.0707 (0.0835) loss_cl: -0.3672 (-0.3673) time: 0.8617 data: 0.0003 max mem: 29859 [20:57:09.322869] Epoch: [202] [840/850] eta: 0:00:08 lr: 0.002138 loss: 0.0228 (0.0226) loss_rec_all: 0.0588 (0.0588) loss_rec_sfr: 0.0926 (0.0838) loss_cl: -0.3676 (-0.3673) time: 0.8648 data: 0.0005 max mem: 29859 [20:57:17.080395] Epoch: [202] [849/850] eta: 0:00:00 lr: 0.002138 loss: 0.0219 (0.0227) loss_rec_all: 0.0582 (0.0588) loss_rec_sfr: 0.0902 (0.0838) loss_cl: -0.3677 (-0.3673) time: 0.8651 data: 0.0004 max mem: 29859 [20:57:17.193838] Epoch: [202] Total time: 0:12:20 (0.8708 s / it) [20:57:17.210488] Averaged stats: lr: 0.002138 loss: 0.0219 (0.0226) loss_rec_all: 0.0582 (0.0587) loss_rec_sfr: 0.0902 (0.0838) loss_cl: -0.3677 (-0.3672) [20:57:17.219352] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [20:57:24.555981] Epoch: [203] [ 0/850] eta: 1:43:55 lr: 0.002138 loss: 0.0223 (0.0223) loss_rec_all: 0.0585 (0.0585) loss_rec_sfr: 0.0669 (0.0669) loss_cl: -0.3669 (-0.3669) time: 7.3355 data: 6.0829 max mem: 29859 [20:57:41.765430] Epoch: [203] [ 20/850] eta: 0:16:10 lr: 0.002138 loss: 0.0209 (0.0227) loss_rec_all: 0.0572 (0.0589) loss_rec_sfr: 0.0688 (0.0826) loss_cl: -0.3675 (-0.3673) time: 0.8604 data: 0.0003 max mem: 29859 [20:57:59.036931] Epoch: [203] [ 40/850] eta: 0:13:46 lr: 0.002138 loss: 0.0215 (0.0225) loss_rec_all: 0.0575 (0.0587) loss_rec_sfr: 0.0826 (0.0826) loss_cl: -0.3678 (-0.3675) time: 0.8635 data: 0.0003 max mem: 29859 [20:58:16.270501] Epoch: [203] [ 60/850] eta: 0:12:44 lr: 0.002138 loss: 0.0222 (0.0224) loss_rec_all: 0.0585 (0.0586) loss_rec_sfr: 0.0918 (0.0863) loss_cl: -0.3673 (-0.3675) time: 0.8616 data: 0.0003 max mem: 29859 [20:58:33.552087] Epoch: [203] [ 80/850] eta: 0:12:05 lr: 0.002137 loss: 0.0204 (0.0221) loss_rec_all: 0.0564 (0.0582) loss_rec_sfr: 0.0650 (0.0843) loss_cl: -0.3676 (-0.3675) time: 0.8640 data: 0.0002 max mem: 29859 [20:58:50.798546] Epoch: [203] [100/850] eta: 0:11:34 lr: 0.002137 loss: 0.0204 (0.0218) loss_rec_all: 0.0566 (0.0579) loss_rec_sfr: 0.0967 (0.0855) loss_cl: -0.3674 (-0.3674) time: 0.8623 data: 0.0003 max mem: 29859 [20:59:08.080895] Epoch: [203] [120/850] eta: 0:11:08 lr: 0.002137 loss: 0.0204 (0.0217) loss_rec_all: 0.0563 (0.0578) loss_rec_sfr: 0.0949 (0.0864) loss_cl: -0.3674 (-0.3674) time: 0.8641 data: 0.0003 max mem: 29859 [20:59:25.325540] Epoch: [203] [140/850] eta: 0:10:45 lr: 0.002137 loss: 0.0202 (0.0216) loss_rec_all: 0.0565 (0.0578) loss_rec_sfr: 0.0646 (0.0848) loss_cl: -0.3674 (-0.3674) time: 0.8622 data: 0.0003 max mem: 29859 [20:59:42.623335] Epoch: [203] [160/850] eta: 0:10:23 lr: 0.002137 loss: 0.0208 (0.0216) loss_rec_all: 0.0571 (0.0578) loss_rec_sfr: 0.0669 (0.0840) loss_cl: -0.3670 (-0.3674) time: 0.8648 data: 0.0003 max mem: 29859 [20:59:59.884978] Epoch: [203] [180/850] eta: 0:10:02 lr: 0.002137 loss: 0.0198 (0.0216) loss_rec_all: 0.0561 (0.0577) loss_rec_sfr: 0.0580 (0.0826) loss_cl: -0.3667 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [21:00:17.191442] Epoch: [203] [200/850] eta: 0:09:41 lr: 0.002137 loss: 0.0214 (0.0216) loss_rec_all: 0.0574 (0.0577) loss_rec_sfr: 0.0811 (0.0825) loss_cl: -0.3665 (-0.3672) time: 0.8653 data: 0.0003 max mem: 29859 [21:00:34.450632] Epoch: [203] [220/850] eta: 0:09:22 lr: 0.002137 loss: 0.0220 (0.0217) loss_rec_all: 0.0583 (0.0578) loss_rec_sfr: 0.0670 (0.0822) loss_cl: -0.3665 (-0.3672) time: 0.8629 data: 0.0003 max mem: 29859 [21:00:51.737893] Epoch: [203] [240/850] eta: 0:09:02 lr: 0.002137 loss: 0.0228 (0.0219) loss_rec_all: 0.0588 (0.0581) loss_rec_sfr: 0.0678 (0.0825) loss_cl: -0.3669 (-0.3671) time: 0.8643 data: 0.0003 max mem: 29859 [21:01:08.972080] Epoch: [203] [260/850] eta: 0:08:43 lr: 0.002137 loss: 0.0266 (0.0223) loss_rec_all: 0.0626 (0.0584) loss_rec_sfr: 0.1074 (0.0842) loss_cl: -0.3673 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [21:01:26.247452] Epoch: [203] [280/850] eta: 0:08:25 lr: 0.002137 loss: 0.0245 (0.0225) loss_rec_all: 0.0605 (0.0586) loss_rec_sfr: 0.0895 (0.0845) loss_cl: -0.3678 (-0.3672) time: 0.8637 data: 0.0003 max mem: 29859 [21:01:43.488946] Epoch: [203] [300/850] eta: 0:08:06 lr: 0.002137 loss: 0.0229 (0.0226) loss_rec_all: 0.0589 (0.0587) loss_rec_sfr: 0.0887 (0.0845) loss_cl: -0.3683 (-0.3673) time: 0.8620 data: 0.0003 max mem: 29859 [21:02:00.771871] Epoch: [203] [320/850] eta: 0:07:48 lr: 0.002137 loss: 0.0226 (0.0226) loss_rec_all: 0.0591 (0.0588) loss_rec_sfr: 0.0623 (0.0844) loss_cl: -0.3682 (-0.3673) time: 0.8641 data: 0.0003 max mem: 29859 [21:02:18.019130] Epoch: [203] [340/850] eta: 0:07:29 lr: 0.002137 loss: 0.0231 (0.0227) loss_rec_all: 0.0590 (0.0588) loss_rec_sfr: 0.0709 (0.0845) loss_cl: -0.3676 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [21:02:35.290507] Epoch: [203] [360/850] eta: 0:07:11 lr: 0.002136 loss: 0.0214 (0.0226) loss_rec_all: 0.0576 (0.0588) loss_rec_sfr: 0.0678 (0.0842) loss_cl: -0.3669 (-0.3673) time: 0.8635 data: 0.0003 max mem: 29859 [21:02:52.530649] Epoch: [203] [380/850] eta: 0:06:53 lr: 0.002136 loss: 0.0217 (0.0226) loss_rec_all: 0.0576 (0.0588) loss_rec_sfr: 0.0842 (0.0842) loss_cl: -0.3661 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [21:03:09.822919] Epoch: [203] [400/850] eta: 0:06:35 lr: 0.002136 loss: 0.0227 (0.0227) loss_rec_all: 0.0586 (0.0588) loss_rec_sfr: 0.0873 (0.0847) loss_cl: -0.3667 (-0.3672) time: 0.8646 data: 0.0003 max mem: 29859 [21:03:27.072294] Epoch: [203] [420/850] eta: 0:06:17 lr: 0.002136 loss: 0.0209 (0.0226) loss_rec_all: 0.0570 (0.0588) loss_rec_sfr: 0.0662 (0.0844) loss_cl: -0.3669 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [21:03:44.371740] Epoch: [203] [440/850] eta: 0:05:59 lr: 0.002136 loss: 0.0205 (0.0226) loss_rec_all: 0.0565 (0.0587) loss_rec_sfr: 0.0823 (0.0842) loss_cl: -0.3673 (-0.3672) time: 0.8649 data: 0.0003 max mem: 29859 [21:04:01.598083] Epoch: [203] [460/850] eta: 0:05:42 lr: 0.002136 loss: 0.0221 (0.0226) loss_rec_all: 0.0581 (0.0587) loss_rec_sfr: 0.0672 (0.0840) loss_cl: -0.3672 (-0.3672) time: 0.8613 data: 0.0003 max mem: 29859 [21:04:18.858313] Epoch: [203] [480/850] eta: 0:05:24 lr: 0.002136 loss: 0.0201 (0.0226) loss_rec_all: 0.0564 (0.0587) loss_rec_sfr: 0.0615 (0.0838) loss_cl: -0.3676 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [21:04:36.102807] Epoch: [203] [500/850] eta: 0:05:06 lr: 0.002136 loss: 0.0228 (0.0226) loss_rec_all: 0.0586 (0.0587) loss_rec_sfr: 0.1018 (0.0843) loss_cl: -0.3675 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [21:04:53.367102] Epoch: [203] [520/850] eta: 0:04:48 lr: 0.002136 loss: 0.0239 (0.0226) loss_rec_all: 0.0598 (0.0587) loss_rec_sfr: 0.0906 (0.0848) loss_cl: -0.3674 (-0.3672) time: 0.8632 data: 0.0002 max mem: 29859 [21:05:10.621076] Epoch: [203] [540/850] eta: 0:04:31 lr: 0.002136 loss: 0.0245 (0.0227) loss_rec_all: 0.0606 (0.0588) loss_rec_sfr: 0.0883 (0.0852) loss_cl: -0.3679 (-0.3672) time: 0.8626 data: 0.0003 max mem: 29859 [21:05:27.915002] Epoch: [203] [560/850] eta: 0:04:13 lr: 0.002136 loss: 0.0234 (0.0227) loss_rec_all: 0.0596 (0.0589) loss_rec_sfr: 0.0620 (0.0850) loss_cl: -0.3677 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [21:05:45.152497] Epoch: [203] [580/850] eta: 0:03:56 lr: 0.002136 loss: 0.0272 (0.0229) loss_rec_all: 0.0631 (0.0590) loss_rec_sfr: 0.0922 (0.0856) loss_cl: -0.3674 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [21:06:02.419633] Epoch: [203] [600/850] eta: 0:03:38 lr: 0.002136 loss: 0.0257 (0.0230) loss_rec_all: 0.0615 (0.0591) loss_rec_sfr: 0.0854 (0.0859) loss_cl: -0.3674 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [21:06:19.649860] Epoch: [203] [620/850] eta: 0:03:20 lr: 0.002136 loss: 0.0243 (0.0231) loss_rec_all: 0.0605 (0.0592) loss_rec_sfr: 0.0760 (0.0861) loss_cl: -0.3673 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [21:06:36.944936] Epoch: [203] [640/850] eta: 0:03:03 lr: 0.002135 loss: 0.0234 (0.0231) loss_rec_all: 0.0594 (0.0592) loss_rec_sfr: 0.0877 (0.0862) loss_cl: -0.3676 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [21:06:54.188007] Epoch: [203] [660/850] eta: 0:02:45 lr: 0.002135 loss: 0.0232 (0.0231) loss_rec_all: 0.0595 (0.0592) loss_rec_sfr: 0.0700 (0.0863) loss_cl: -0.3675 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [21:07:11.479122] Epoch: [203] [680/850] eta: 0:02:28 lr: 0.002135 loss: 0.0209 (0.0230) loss_rec_all: 0.0569 (0.0592) loss_rec_sfr: 0.0603 (0.0860) loss_cl: -0.3677 (-0.3673) time: 0.8645 data: 0.0003 max mem: 29859 [21:07:28.761197] Epoch: [203] [700/850] eta: 0:02:10 lr: 0.002135 loss: 0.0198 (0.0230) loss_rec_all: 0.0561 (0.0591) loss_rec_sfr: 0.0648 (0.0856) loss_cl: -0.3677 (-0.3673) time: 0.8640 data: 0.0003 max mem: 29859 [21:07:46.046862] Epoch: [203] [720/850] eta: 0:01:53 lr: 0.002135 loss: 0.0199 (0.0229) loss_rec_all: 0.0562 (0.0591) loss_rec_sfr: 0.0584 (0.0852) loss_cl: -0.3674 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [21:08:03.263721] Epoch: [203] [740/850] eta: 0:01:35 lr: 0.002135 loss: 0.0189 (0.0228) loss_rec_all: 0.0552 (0.0590) loss_rec_sfr: 0.0646 (0.0851) loss_cl: -0.3674 (-0.3673) time: 0.8608 data: 0.0003 max mem: 29859 [21:08:20.532558] Epoch: [203] [760/850] eta: 0:01:18 lr: 0.002135 loss: 0.0204 (0.0228) loss_rec_all: 0.0562 (0.0589) loss_rec_sfr: 0.0970 (0.0853) loss_cl: -0.3669 (-0.3673) time: 0.8634 data: 0.0003 max mem: 29859 [21:08:37.752911] Epoch: [203] [780/850] eta: 0:01:00 lr: 0.002135 loss: 0.0205 (0.0228) loss_rec_all: 0.0568 (0.0589) loss_rec_sfr: 0.0826 (0.0852) loss_cl: -0.3665 (-0.3673) time: 0.8610 data: 0.0002 max mem: 29859 [21:08:55.013076] Epoch: [203] [800/850] eta: 0:00:43 lr: 0.002135 loss: 0.0217 (0.0227) loss_rec_all: 0.0579 (0.0589) loss_rec_sfr: 0.0829 (0.0852) loss_cl: -0.3670 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [21:09:12.236187] Epoch: [203] [820/850] eta: 0:00:26 lr: 0.002135 loss: 0.0221 (0.0227) loss_rec_all: 0.0582 (0.0589) loss_rec_sfr: 0.0651 (0.0850) loss_cl: -0.3673 (-0.3673) time: 0.8611 data: 0.0003 max mem: 29859 [21:09:29.511796] Epoch: [203] [840/850] eta: 0:00:08 lr: 0.002135 loss: 0.0238 (0.0228) loss_rec_all: 0.0601 (0.0589) loss_rec_sfr: 0.0672 (0.0850) loss_cl: -0.3671 (-0.3673) time: 0.8637 data: 0.0007 max mem: 29859 [21:09:37.267635] Epoch: [203] [849/850] eta: 0:00:00 lr: 0.002135 loss: 0.0245 (0.0228) loss_rec_all: 0.0603 (0.0590) loss_rec_sfr: 0.0974 (0.0851) loss_cl: -0.3673 (-0.3673) time: 0.8632 data: 0.0007 max mem: 29859 [21:09:37.410401] Epoch: [203] Total time: 0:12:20 (0.8708 s / it) [21:09:37.412809] Averaged stats: lr: 0.002135 loss: 0.0245 (0.0228) loss_rec_all: 0.0603 (0.0589) loss_rec_sfr: 0.0974 (0.0845) loss_cl: -0.3673 (-0.3673) [21:09:37.425432] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [21:09:42.631638] Epoch: [204] [ 0/850] eta: 1:13:44 lr: 0.002135 loss: 0.0242 (0.0242) loss_rec_all: 0.0604 (0.0604) loss_rec_sfr: 0.0693 (0.0693) loss_cl: -0.3667 (-0.3667) time: 5.2054 data: 4.3496 max mem: 29859 [21:10:00.174450] Epoch: [204] [ 20/850] eta: 0:14:59 lr: 0.002135 loss: 0.0234 (0.0250) loss_rec_all: 0.0597 (0.0611) loss_rec_sfr: 0.0788 (0.0875) loss_cl: -0.3671 (-0.3670) time: 0.8771 data: 0.0157 max mem: 29859 [21:10:17.445216] Epoch: [204] [ 40/850] eta: 0:13:10 lr: 0.002135 loss: 0.0230 (0.0245) loss_rec_all: 0.0591 (0.0606) loss_rec_sfr: 0.0869 (0.0862) loss_cl: -0.3673 (-0.3671) time: 0.8635 data: 0.0003 max mem: 29859 [21:10:34.663066] Epoch: [204] [ 60/850] eta: 0:12:21 lr: 0.002134 loss: 0.0221 (0.0242) loss_rec_all: 0.0582 (0.0603) loss_rec_sfr: 0.0685 (0.0850) loss_cl: -0.3673 (-0.3671) time: 0.8608 data: 0.0002 max mem: 29859 [21:10:51.934205] Epoch: [204] [ 80/850] eta: 0:11:48 lr: 0.002134 loss: 0.0214 (0.0236) loss_rec_all: 0.0574 (0.0598) loss_rec_sfr: 0.0688 (0.0843) loss_cl: -0.3676 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [21:11:09.176981] Epoch: [204] [100/850] eta: 0:11:21 lr: 0.002134 loss: 0.0211 (0.0233) loss_rec_all: 0.0575 (0.0594) loss_rec_sfr: 0.0666 (0.0827) loss_cl: -0.3681 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [21:11:26.430428] Epoch: [204] [120/850] eta: 0:10:57 lr: 0.002134 loss: 0.0209 (0.0231) loss_rec_all: 0.0570 (0.0592) loss_rec_sfr: 0.0854 (0.0832) loss_cl: -0.3682 (-0.3675) time: 0.8626 data: 0.0002 max mem: 29859 [21:11:43.687761] Epoch: [204] [140/850] eta: 0:10:35 lr: 0.002134 loss: 0.0197 (0.0227) loss_rec_all: 0.0560 (0.0589) loss_rec_sfr: 0.0619 (0.0816) loss_cl: -0.3681 (-0.3676) time: 0.8628 data: 0.0003 max mem: 29859 [21:12:00.967604] Epoch: [204] [160/850] eta: 0:10:15 lr: 0.002134 loss: 0.0201 (0.0225) loss_rec_all: 0.0564 (0.0587) loss_rec_sfr: 0.0591 (0.0809) loss_cl: -0.3678 (-0.3677) time: 0.8639 data: 0.0003 max mem: 29859 [21:12:18.190366] Epoch: [204] [180/850] eta: 0:09:55 lr: 0.002134 loss: 0.0208 (0.0224) loss_rec_all: 0.0570 (0.0586) loss_rec_sfr: 0.0660 (0.0804) loss_cl: -0.3668 (-0.3675) time: 0.8611 data: 0.0002 max mem: 29859 [21:12:35.494454] Epoch: [204] [200/850] eta: 0:09:35 lr: 0.002134 loss: 0.0207 (0.0223) loss_rec_all: 0.0568 (0.0585) loss_rec_sfr: 0.0845 (0.0813) loss_cl: -0.3661 (-0.3674) time: 0.8652 data: 0.0003 max mem: 29859 [21:12:52.728944] Epoch: [204] [220/850] eta: 0:09:16 lr: 0.002134 loss: 0.0222 (0.0224) loss_rec_all: 0.0579 (0.0585) loss_rec_sfr: 0.0864 (0.0824) loss_cl: -0.3662 (-0.3673) time: 0.8617 data: 0.0003 max mem: 29859 [21:13:10.022400] Epoch: [204] [240/850] eta: 0:08:58 lr: 0.002134 loss: 0.0230 (0.0225) loss_rec_all: 0.0591 (0.0586) loss_rec_sfr: 0.0662 (0.0823) loss_cl: -0.3663 (-0.3672) time: 0.8646 data: 0.0003 max mem: 29859 [21:13:27.258990] Epoch: [204] [260/850] eta: 0:08:39 lr: 0.002134 loss: 0.0225 (0.0225) loss_rec_all: 0.0586 (0.0587) loss_rec_sfr: 0.0882 (0.0828) loss_cl: -0.3666 (-0.3671) time: 0.8618 data: 0.0002 max mem: 29859 [21:13:44.535442] Epoch: [204] [280/850] eta: 0:08:21 lr: 0.002134 loss: 0.0226 (0.0226) loss_rec_all: 0.0584 (0.0587) loss_rec_sfr: 0.0822 (0.0831) loss_cl: -0.3672 (-0.3671) time: 0.8638 data: 0.0002 max mem: 29859 [21:14:01.798232] Epoch: [204] [300/850] eta: 0:08:03 lr: 0.002134 loss: 0.0233 (0.0226) loss_rec_all: 0.0597 (0.0587) loss_rec_sfr: 0.0673 (0.0835) loss_cl: -0.3680 (-0.3672) time: 0.8631 data: 0.0003 max mem: 29859 [21:14:19.062946] Epoch: [204] [320/850] eta: 0:07:44 lr: 0.002133 loss: 0.0228 (0.0226) loss_rec_all: 0.0591 (0.0588) loss_rec_sfr: 0.0609 (0.0830) loss_cl: -0.3681 (-0.3672) time: 0.8632 data: 0.0003 max mem: 29859 [21:14:36.294283] Epoch: [204] [340/850] eta: 0:07:26 lr: 0.002133 loss: 0.0225 (0.0227) loss_rec_all: 0.0587 (0.0588) loss_rec_sfr: 0.0678 (0.0832) loss_cl: -0.3673 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [21:14:53.589830] Epoch: [204] [360/850] eta: 0:07:09 lr: 0.002133 loss: 0.0202 (0.0226) loss_rec_all: 0.0564 (0.0587) loss_rec_sfr: 0.0661 (0.0830) loss_cl: -0.3672 (-0.3672) time: 0.8647 data: 0.0003 max mem: 29859 [21:15:10.815033] Epoch: [204] [380/850] eta: 0:06:51 lr: 0.002133 loss: 0.0230 (0.0226) loss_rec_all: 0.0589 (0.0587) loss_rec_sfr: 0.0894 (0.0833) loss_cl: -0.3673 (-0.3672) time: 0.8612 data: 0.0002 max mem: 29859 [21:15:28.090975] Epoch: [204] [400/850] eta: 0:06:33 lr: 0.002133 loss: 0.0201 (0.0226) loss_rec_all: 0.0564 (0.0587) loss_rec_sfr: 0.0562 (0.0828) loss_cl: -0.3674 (-0.3673) time: 0.8637 data: 0.0003 max mem: 29859 [21:15:45.306231] Epoch: [204] [420/850] eta: 0:06:15 lr: 0.002133 loss: 0.0230 (0.0226) loss_rec_all: 0.0590 (0.0587) loss_rec_sfr: 0.0875 (0.0832) loss_cl: -0.3681 (-0.3673) time: 0.8607 data: 0.0002 max mem: 29859 [21:16:02.578196] Epoch: [204] [440/850] eta: 0:05:58 lr: 0.002133 loss: 0.0205 (0.0225) loss_rec_all: 0.0570 (0.0587) loss_rec_sfr: 0.0826 (0.0834) loss_cl: -0.3679 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [21:16:19.826484] Epoch: [204] [460/850] eta: 0:05:40 lr: 0.002133 loss: 0.0211 (0.0225) loss_rec_all: 0.0571 (0.0587) loss_rec_sfr: 0.0645 (0.0829) loss_cl: -0.3672 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [21:16:37.105349] Epoch: [204] [480/850] eta: 0:05:22 lr: 0.002133 loss: 0.0204 (0.0224) loss_rec_all: 0.0566 (0.0586) loss_rec_sfr: 0.0627 (0.0826) loss_cl: -0.3667 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [21:16:54.333292] Epoch: [204] [500/850] eta: 0:05:05 lr: 0.002133 loss: 0.0222 (0.0224) loss_rec_all: 0.0580 (0.0586) loss_rec_sfr: 0.0895 (0.0830) loss_cl: -0.3665 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [21:17:11.625404] Epoch: [204] [520/850] eta: 0:04:47 lr: 0.002133 loss: 0.0222 (0.0225) loss_rec_all: 0.0580 (0.0586) loss_rec_sfr: 0.0852 (0.0831) loss_cl: -0.3674 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [21:17:28.856713] Epoch: [204] [540/850] eta: 0:04:30 lr: 0.002133 loss: 0.0219 (0.0225) loss_rec_all: 0.0579 (0.0586) loss_rec_sfr: 0.0849 (0.0833) loss_cl: -0.3683 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [21:17:46.128574] Epoch: [204] [560/850] eta: 0:04:12 lr: 0.002133 loss: 0.0213 (0.0225) loss_rec_all: 0.0575 (0.0586) loss_rec_sfr: 0.0877 (0.0832) loss_cl: -0.3685 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [21:18:03.353975] Epoch: [204] [580/850] eta: 0:03:55 lr: 0.002133 loss: 0.0216 (0.0225) loss_rec_all: 0.0579 (0.0586) loss_rec_sfr: 0.0750 (0.0832) loss_cl: -0.3679 (-0.3674) time: 0.8612 data: 0.0002 max mem: 29859 [21:18:20.615746] Epoch: [204] [600/850] eta: 0:03:37 lr: 0.002132 loss: 0.0216 (0.0225) loss_rec_all: 0.0575 (0.0586) loss_rec_sfr: 0.0879 (0.0833) loss_cl: -0.3676 (-0.3674) time: 0.8630 data: 0.0003 max mem: 29859 [21:18:37.828684] Epoch: [204] [620/850] eta: 0:03:20 lr: 0.002132 loss: 0.0210 (0.0224) loss_rec_all: 0.0573 (0.0586) loss_rec_sfr: 0.0634 (0.0831) loss_cl: -0.3669 (-0.3673) time: 0.8606 data: 0.0002 max mem: 29859 [21:18:55.119652] Epoch: [204] [640/850] eta: 0:03:02 lr: 0.002132 loss: 0.0213 (0.0224) loss_rec_all: 0.0574 (0.0586) loss_rec_sfr: 0.0842 (0.0831) loss_cl: -0.3664 (-0.3673) time: 0.8644 data: 0.0003 max mem: 29859 [21:19:12.338139] Epoch: [204] [660/850] eta: 0:02:45 lr: 0.002132 loss: 0.0216 (0.0224) loss_rec_all: 0.0577 (0.0586) loss_rec_sfr: 0.0688 (0.0830) loss_cl: -0.3667 (-0.3673) time: 0.8608 data: 0.0003 max mem: 29859 [21:19:29.612140] Epoch: [204] [680/850] eta: 0:02:27 lr: 0.002132 loss: 0.0223 (0.0224) loss_rec_all: 0.0588 (0.0586) loss_rec_sfr: 0.0646 (0.0829) loss_cl: -0.3679 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [21:19:46.847860] Epoch: [204] [700/850] eta: 0:02:10 lr: 0.002132 loss: 0.0221 (0.0225) loss_rec_all: 0.0585 (0.0586) loss_rec_sfr: 0.0663 (0.0827) loss_cl: -0.3681 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [21:20:04.112052] Epoch: [204] [720/850] eta: 0:01:52 lr: 0.002132 loss: 0.0233 (0.0225) loss_rec_all: 0.0595 (0.0587) loss_rec_sfr: 0.0744 (0.0829) loss_cl: -0.3682 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [21:20:21.353169] Epoch: [204] [740/850] eta: 0:01:35 lr: 0.002132 loss: 0.0224 (0.0225) loss_rec_all: 0.0585 (0.0587) loss_rec_sfr: 0.0684 (0.0830) loss_cl: -0.3676 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [21:20:38.612717] Epoch: [204] [760/850] eta: 0:01:18 lr: 0.002132 loss: 0.0219 (0.0225) loss_rec_all: 0.0581 (0.0587) loss_rec_sfr: 0.0757 (0.0830) loss_cl: -0.3668 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [21:20:55.860357] Epoch: [204] [780/850] eta: 0:01:00 lr: 0.002132 loss: 0.0222 (0.0226) loss_rec_all: 0.0583 (0.0587) loss_rec_sfr: 0.0895 (0.0831) loss_cl: -0.3664 (-0.3673) time: 0.8623 data: 0.0003 max mem: 29859 [21:21:13.119712] Epoch: [204] [800/850] eta: 0:00:43 lr: 0.002132 loss: 0.0226 (0.0226) loss_rec_all: 0.0588 (0.0587) loss_rec_sfr: 0.0699 (0.0831) loss_cl: -0.3665 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [21:21:30.345714] Epoch: [204] [820/850] eta: 0:00:26 lr: 0.002132 loss: 0.0233 (0.0226) loss_rec_all: 0.0594 (0.0587) loss_rec_sfr: 0.0901 (0.0833) loss_cl: -0.3671 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [21:21:47.602038] Epoch: [204] [840/850] eta: 0:00:08 lr: 0.002132 loss: 0.0207 (0.0226) loss_rec_all: 0.0569 (0.0587) loss_rec_sfr: 0.0628 (0.0831) loss_cl: -0.3674 (-0.3673) time: 0.8628 data: 0.0004 max mem: 29859 [21:22:00.728434] Epoch: [204] [849/850] eta: 0:00:00 lr: 0.002132 loss: 0.0213 (0.0226) loss_rec_all: 0.0576 (0.0587) loss_rec_sfr: 0.0693 (0.0832) loss_cl: -0.3678 (-0.3673) time: 1.1315 data: 0.0004 max mem: 29859 [21:22:00.856062] Epoch: [204] Total time: 0:12:23 (0.8746 s / it) [21:22:00.858623] Averaged stats: lr: 0.002132 loss: 0.0213 (0.0226) loss_rec_all: 0.0576 (0.0587) loss_rec_sfr: 0.0693 (0.0837) loss_cl: -0.3678 (-0.3673) [21:22:00.870706] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [21:22:07.428740] Epoch: [205] [ 0/850] eta: 1:32:53 lr: 0.002132 loss: 0.0202 (0.0202) loss_rec_all: 0.0565 (0.0565) loss_rec_sfr: 0.0553 (0.0553) loss_cl: -0.3677 (-0.3677) time: 6.5571 data: 4.2271 max mem: 29859 [21:22:25.228344] Epoch: [205] [ 20/850] eta: 0:16:02 lr: 0.002131 loss: 0.0215 (0.0217) loss_rec_all: 0.0576 (0.0579) loss_rec_sfr: 0.0700 (0.0832) loss_cl: -0.3680 (-0.3679) time: 0.8899 data: 0.0323 max mem: 29859 [21:22:42.452079] Epoch: [205] [ 40/850] eta: 0:13:41 lr: 0.002131 loss: 0.0199 (0.0213) loss_rec_all: 0.0562 (0.0575) loss_rec_sfr: 0.0707 (0.0798) loss_cl: -0.3678 (-0.3679) time: 0.8611 data: 0.0003 max mem: 29859 [21:22:59.671104] Epoch: [205] [ 60/850] eta: 0:12:41 lr: 0.002131 loss: 0.0201 (0.0212) loss_rec_all: 0.0562 (0.0574) loss_rec_sfr: 0.0889 (0.0825) loss_cl: -0.3673 (-0.3677) time: 0.8609 data: 0.0003 max mem: 29859 [21:23:16.950144] Epoch: [205] [ 80/850] eta: 0:12:03 lr: 0.002131 loss: 0.0198 (0.0210) loss_rec_all: 0.0562 (0.0572) loss_rec_sfr: 0.0609 (0.0799) loss_cl: -0.3674 (-0.3676) time: 0.8639 data: 0.0002 max mem: 29859 [21:23:34.173396] Epoch: [205] [100/850] eta: 0:11:32 lr: 0.002131 loss: 0.0220 (0.0213) loss_rec_all: 0.0578 (0.0574) loss_rec_sfr: 0.0893 (0.0815) loss_cl: -0.3672 (-0.3675) time: 0.8611 data: 0.0002 max mem: 29859 [21:23:51.463588] Epoch: [205] [120/850] eta: 0:11:07 lr: 0.002131 loss: 0.0203 (0.0212) loss_rec_all: 0.0564 (0.0573) loss_rec_sfr: 0.0618 (0.0818) loss_cl: -0.3669 (-0.3674) time: 0.8645 data: 0.0003 max mem: 29859 [21:24:08.710504] Epoch: [205] [140/850] eta: 0:10:43 lr: 0.002131 loss: 0.0199 (0.0211) loss_rec_all: 0.0561 (0.0573) loss_rec_sfr: 0.0615 (0.0814) loss_cl: -0.3675 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [21:24:25.999685] Epoch: [205] [160/850] eta: 0:10:21 lr: 0.002131 loss: 0.0211 (0.0212) loss_rec_all: 0.0571 (0.0574) loss_rec_sfr: 0.0857 (0.0816) loss_cl: -0.3683 (-0.3675) time: 0.8644 data: 0.0003 max mem: 29859 [21:24:43.237501] Epoch: [205] [180/850] eta: 0:10:00 lr: 0.002131 loss: 0.0205 (0.0213) loss_rec_all: 0.0569 (0.0575) loss_rec_sfr: 0.0882 (0.0818) loss_cl: -0.3678 (-0.3675) time: 0.8618 data: 0.0002 max mem: 29859 [21:25:00.503184] Epoch: [205] [200/850] eta: 0:09:40 lr: 0.002131 loss: 0.0220 (0.0214) loss_rec_all: 0.0582 (0.0576) loss_rec_sfr: 0.0780 (0.0821) loss_cl: -0.3675 (-0.3675) time: 0.8632 data: 0.0002 max mem: 29859 [21:25:17.751759] Epoch: [205] [220/850] eta: 0:09:21 lr: 0.002131 loss: 0.0220 (0.0215) loss_rec_all: 0.0580 (0.0577) loss_rec_sfr: 0.0736 (0.0823) loss_cl: -0.3671 (-0.3675) time: 0.8623 data: 0.0002 max mem: 29859 [21:25:35.042568] Epoch: [205] [240/850] eta: 0:09:02 lr: 0.002131 loss: 0.0229 (0.0217) loss_rec_all: 0.0589 (0.0579) loss_rec_sfr: 0.0904 (0.0830) loss_cl: -0.3668 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [21:25:52.273824] Epoch: [205] [260/850] eta: 0:08:43 lr: 0.002131 loss: 0.0234 (0.0219) loss_rec_all: 0.0591 (0.0581) loss_rec_sfr: 0.0894 (0.0837) loss_cl: -0.3672 (-0.3674) time: 0.8615 data: 0.0002 max mem: 29859 [21:26:09.518209] Epoch: [205] [280/850] eta: 0:08:24 lr: 0.002131 loss: 0.0243 (0.0221) loss_rec_all: 0.0600 (0.0583) loss_rec_sfr: 0.0994 (0.0849) loss_cl: -0.3672 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [21:26:26.728991] Epoch: [205] [300/850] eta: 0:08:05 lr: 0.002130 loss: 0.0245 (0.0224) loss_rec_all: 0.0608 (0.0585) loss_rec_sfr: 0.0952 (0.0858) loss_cl: -0.3673 (-0.3673) time: 0.8605 data: 0.0002 max mem: 29859 [21:26:43.988774] Epoch: [205] [320/850] eta: 0:07:47 lr: 0.002130 loss: 0.0227 (0.0225) loss_rec_all: 0.0591 (0.0586) loss_rec_sfr: 0.0704 (0.0860) loss_cl: -0.3672 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [21:27:01.262881] Epoch: [205] [340/850] eta: 0:07:29 lr: 0.002130 loss: 0.0227 (0.0225) loss_rec_all: 0.0585 (0.0586) loss_rec_sfr: 0.0861 (0.0864) loss_cl: -0.3672 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [21:27:18.507899] Epoch: [205] [360/850] eta: 0:07:11 lr: 0.002130 loss: 0.0210 (0.0225) loss_rec_all: 0.0571 (0.0586) loss_rec_sfr: 0.0881 (0.0864) loss_cl: -0.3674 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [21:27:35.748882] Epoch: [205] [380/850] eta: 0:06:53 lr: 0.002130 loss: 0.0219 (0.0224) loss_rec_all: 0.0580 (0.0586) loss_rec_sfr: 0.0679 (0.0863) loss_cl: -0.3676 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [21:27:53.010218] Epoch: [205] [400/850] eta: 0:06:35 lr: 0.002130 loss: 0.0206 (0.0224) loss_rec_all: 0.0569 (0.0585) loss_rec_sfr: 0.0665 (0.0856) loss_cl: -0.3674 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [21:28:10.258712] Epoch: [205] [420/850] eta: 0:06:17 lr: 0.002130 loss: 0.0199 (0.0224) loss_rec_all: 0.0563 (0.0585) loss_rec_sfr: 0.0571 (0.0850) loss_cl: -0.3674 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [21:28:27.546073] Epoch: [205] [440/850] eta: 0:05:59 lr: 0.002130 loss: 0.0216 (0.0223) loss_rec_all: 0.0578 (0.0585) loss_rec_sfr: 0.0820 (0.0851) loss_cl: -0.3678 (-0.3674) time: 0.8643 data: 0.0003 max mem: 29859 [21:28:44.773464] Epoch: [205] [460/850] eta: 0:05:41 lr: 0.002130 loss: 0.0201 (0.0223) loss_rec_all: 0.0564 (0.0584) loss_rec_sfr: 0.0623 (0.0849) loss_cl: -0.3674 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [21:29:02.056156] Epoch: [205] [480/850] eta: 0:05:23 lr: 0.002130 loss: 0.0225 (0.0223) loss_rec_all: 0.0587 (0.0585) loss_rec_sfr: 0.0835 (0.0848) loss_cl: -0.3671 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [21:29:19.260991] Epoch: [205] [500/850] eta: 0:05:06 lr: 0.002130 loss: 0.0218 (0.0223) loss_rec_all: 0.0578 (0.0585) loss_rec_sfr: 0.0692 (0.0847) loss_cl: -0.3673 (-0.3673) time: 0.8602 data: 0.0003 max mem: 29859 [21:29:36.545324] Epoch: [205] [520/850] eta: 0:04:48 lr: 0.002130 loss: 0.0222 (0.0223) loss_rec_all: 0.0585 (0.0585) loss_rec_sfr: 0.0845 (0.0850) loss_cl: -0.3674 (-0.3673) time: 0.8641 data: 0.0003 max mem: 29859 [21:29:53.787023] Epoch: [205] [540/850] eta: 0:04:30 lr: 0.002130 loss: 0.0203 (0.0223) loss_rec_all: 0.0565 (0.0584) loss_rec_sfr: 0.0627 (0.0846) loss_cl: -0.3675 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [21:30:11.047944] Epoch: [205] [560/850] eta: 0:04:13 lr: 0.002129 loss: 0.0212 (0.0223) loss_rec_all: 0.0572 (0.0584) loss_rec_sfr: 0.0825 (0.0845) loss_cl: -0.3673 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [21:30:28.305008] Epoch: [205] [580/850] eta: 0:03:55 lr: 0.002129 loss: 0.0215 (0.0223) loss_rec_all: 0.0576 (0.0584) loss_rec_sfr: 0.0824 (0.0848) loss_cl: -0.3672 (-0.3673) time: 0.8628 data: 0.0003 max mem: 29859 [21:30:45.573152] Epoch: [205] [600/850] eta: 0:03:38 lr: 0.002129 loss: 0.0201 (0.0222) loss_rec_all: 0.0562 (0.0584) loss_rec_sfr: 0.0661 (0.0844) loss_cl: -0.3672 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [21:31:02.828134] Epoch: [205] [620/850] eta: 0:03:20 lr: 0.002129 loss: 0.0209 (0.0222) loss_rec_all: 0.0572 (0.0584) loss_rec_sfr: 0.0605 (0.0841) loss_cl: -0.3672 (-0.3673) time: 0.8627 data: 0.0003 max mem: 29859 [21:31:20.089946] Epoch: [205] [640/850] eta: 0:03:03 lr: 0.002129 loss: 0.0214 (0.0222) loss_rec_all: 0.0574 (0.0584) loss_rec_sfr: 0.0843 (0.0843) loss_cl: -0.3673 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [21:31:37.323487] Epoch: [205] [660/850] eta: 0:02:45 lr: 0.002129 loss: 0.0222 (0.0222) loss_rec_all: 0.0583 (0.0584) loss_rec_sfr: 0.0845 (0.0844) loss_cl: -0.3673 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [21:31:54.596760] Epoch: [205] [680/850] eta: 0:02:28 lr: 0.002129 loss: 0.0214 (0.0222) loss_rec_all: 0.0577 (0.0584) loss_rec_sfr: 0.0675 (0.0844) loss_cl: -0.3676 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [21:32:11.810611] Epoch: [205] [700/850] eta: 0:02:10 lr: 0.002129 loss: 0.0217 (0.0223) loss_rec_all: 0.0580 (0.0584) loss_rec_sfr: 0.0866 (0.0844) loss_cl: -0.3678 (-0.3673) time: 0.8606 data: 0.0002 max mem: 29859 [21:32:29.092520] Epoch: [205] [720/850] eta: 0:01:53 lr: 0.002129 loss: 0.0215 (0.0223) loss_rec_all: 0.0573 (0.0584) loss_rec_sfr: 0.0748 (0.0845) loss_cl: -0.3675 (-0.3673) time: 0.8640 data: 0.0003 max mem: 29859 [21:32:46.320890] Epoch: [205] [740/850] eta: 0:01:35 lr: 0.002129 loss: 0.0223 (0.0222) loss_rec_all: 0.0583 (0.0584) loss_rec_sfr: 0.0873 (0.0847) loss_cl: -0.3678 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [21:33:03.610770] Epoch: [205] [760/850] eta: 0:01:18 lr: 0.002129 loss: 0.0203 (0.0222) loss_rec_all: 0.0566 (0.0584) loss_rec_sfr: 0.0695 (0.0845) loss_cl: -0.3677 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [21:33:20.839430] Epoch: [205] [780/850] eta: 0:01:00 lr: 0.002129 loss: 0.0203 (0.0222) loss_rec_all: 0.0568 (0.0583) loss_rec_sfr: 0.0679 (0.0844) loss_cl: -0.3672 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [21:33:38.124711] Epoch: [205] [800/850] eta: 0:00:43 lr: 0.002129 loss: 0.0211 (0.0222) loss_rec_all: 0.0571 (0.0583) loss_rec_sfr: 0.0583 (0.0838) loss_cl: -0.3678 (-0.3673) time: 0.8642 data: 0.0003 max mem: 29859 [21:33:55.346947] Epoch: [205] [820/850] eta: 0:00:26 lr: 0.002129 loss: 0.0242 (0.0222) loss_rec_all: 0.0603 (0.0584) loss_rec_sfr: 0.0716 (0.0838) loss_cl: -0.3675 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [21:34:12.631417] Epoch: [205] [840/850] eta: 0:00:08 lr: 0.002128 loss: 0.0236 (0.0223) loss_rec_all: 0.0596 (0.0584) loss_rec_sfr: 0.0677 (0.0837) loss_cl: -0.3671 (-0.3673) time: 0.8642 data: 0.0005 max mem: 29859 [21:34:27.547361] Epoch: [205] [849/850] eta: 0:00:00 lr: 0.002128 loss: 0.0241 (0.0223) loss_rec_all: 0.0603 (0.0584) loss_rec_sfr: 0.0681 (0.0837) loss_cl: -0.3667 (-0.3673) time: 1.2220 data: 0.0004 max mem: 29859 [21:34:27.673319] Epoch: [205] Total time: 0:12:26 (0.8786 s / it) [21:34:27.675777] Averaged stats: lr: 0.002128 loss: 0.0241 (0.0223) loss_rec_all: 0.0603 (0.0585) loss_rec_sfr: 0.0681 (0.0833) loss_cl: -0.3667 (-0.3673) [21:34:27.703559] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [21:34:35.439913] Epoch: [206] [ 0/850] eta: 1:49:34 lr: 0.002128 loss: 0.0206 (0.0206) loss_rec_all: 0.0568 (0.0568) loss_rec_sfr: 0.0598 (0.0598) loss_cl: -0.3667 (-0.3667) time: 7.7352 data: 6.8863 max mem: 29859 [21:34:52.574941] Epoch: [206] [ 20/850] eta: 0:16:22 lr: 0.002128 loss: 0.0218 (0.0224) loss_rec_all: 0.0580 (0.0584) loss_rec_sfr: 0.0662 (0.0819) loss_cl: -0.3662 (-0.3663) time: 0.8567 data: 0.0003 max mem: 29859 [21:35:09.798924] Epoch: [206] [ 40/850] eta: 0:13:51 lr: 0.002128 loss: 0.0225 (0.0229) loss_rec_all: 0.0587 (0.0590) loss_rec_sfr: 0.0829 (0.0821) loss_cl: -0.3669 (-0.3666) time: 0.8611 data: 0.0003 max mem: 29859 [21:35:27.016493] Epoch: [206] [ 60/850] eta: 0:12:48 lr: 0.002128 loss: 0.0202 (0.0224) loss_rec_all: 0.0567 (0.0585) loss_rec_sfr: 0.0636 (0.0812) loss_cl: -0.3676 (-0.3670) time: 0.8608 data: 0.0002 max mem: 29859 [21:35:44.314492] Epoch: [206] [ 80/850] eta: 0:12:08 lr: 0.002128 loss: 0.0206 (0.0221) loss_rec_all: 0.0570 (0.0583) loss_rec_sfr: 0.0614 (0.0792) loss_cl: -0.3677 (-0.3671) time: 0.8648 data: 0.0004 max mem: 29859 [21:36:01.560211] Epoch: [206] [100/850] eta: 0:11:36 lr: 0.002128 loss: 0.0208 (0.0220) loss_rec_all: 0.0571 (0.0581) loss_rec_sfr: 0.0633 (0.0802) loss_cl: -0.3679 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [21:36:18.868436] Epoch: [206] [120/850] eta: 0:11:10 lr: 0.002128 loss: 0.0202 (0.0217) loss_rec_all: 0.0563 (0.0579) loss_rec_sfr: 0.0627 (0.0791) loss_cl: -0.3673 (-0.3672) time: 0.8654 data: 0.0003 max mem: 29859 [21:36:36.137387] Epoch: [206] [140/850] eta: 0:10:46 lr: 0.002128 loss: 0.0191 (0.0215) loss_rec_all: 0.0553 (0.0577) loss_rec_sfr: 0.0561 (0.0774) loss_cl: -0.3665 (-0.3671) time: 0.8634 data: 0.0002 max mem: 29859 [21:36:53.396092] Epoch: [206] [160/850] eta: 0:10:24 lr: 0.002128 loss: 0.0194 (0.0214) loss_rec_all: 0.0558 (0.0575) loss_rec_sfr: 0.0607 (0.0772) loss_cl: -0.3667 (-0.3671) time: 0.8629 data: 0.0002 max mem: 29859 [21:37:10.641918] Epoch: [206] [180/850] eta: 0:10:03 lr: 0.002128 loss: 0.0216 (0.0214) loss_rec_all: 0.0578 (0.0575) loss_rec_sfr: 0.0648 (0.0776) loss_cl: -0.3672 (-0.3671) time: 0.8622 data: 0.0002 max mem: 29859 [21:37:27.906318] Epoch: [206] [200/850] eta: 0:09:42 lr: 0.002128 loss: 0.0200 (0.0213) loss_rec_all: 0.0564 (0.0574) loss_rec_sfr: 0.0709 (0.0782) loss_cl: -0.3674 (-0.3671) time: 0.8632 data: 0.0002 max mem: 29859 [21:37:45.150000] Epoch: [206] [220/850] eta: 0:09:22 lr: 0.002128 loss: 0.0201 (0.0212) loss_rec_all: 0.0564 (0.0574) loss_rec_sfr: 0.0624 (0.0782) loss_cl: -0.3677 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [21:38:02.407661] Epoch: [206] [240/850] eta: 0:09:03 lr: 0.002128 loss: 0.0196 (0.0211) loss_rec_all: 0.0559 (0.0573) loss_rec_sfr: 0.0633 (0.0783) loss_cl: -0.3677 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [21:38:19.654823] Epoch: [206] [260/850] eta: 0:08:44 lr: 0.002127 loss: 0.0191 (0.0211) loss_rec_all: 0.0554 (0.0572) loss_rec_sfr: 0.0826 (0.0786) loss_cl: -0.3679 (-0.3673) time: 0.8623 data: 0.0003 max mem: 29859 [21:38:36.912110] Epoch: [206] [280/850] eta: 0:08:25 lr: 0.002127 loss: 0.0220 (0.0211) loss_rec_all: 0.0578 (0.0573) loss_rec_sfr: 0.0869 (0.0793) loss_cl: -0.3672 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [21:38:54.135301] Epoch: [206] [300/850] eta: 0:08:06 lr: 0.002127 loss: 0.0232 (0.0213) loss_rec_all: 0.0590 (0.0575) loss_rec_sfr: 0.0672 (0.0799) loss_cl: -0.3670 (-0.3672) time: 0.8611 data: 0.0002 max mem: 29859 [21:39:11.414629] Epoch: [206] [320/850] eta: 0:07:48 lr: 0.002127 loss: 0.0218 (0.0214) loss_rec_all: 0.0581 (0.0576) loss_rec_sfr: 0.0742 (0.0803) loss_cl: -0.3673 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [21:39:28.633657] Epoch: [206] [340/850] eta: 0:07:30 lr: 0.002127 loss: 0.0208 (0.0214) loss_rec_all: 0.0569 (0.0576) loss_rec_sfr: 0.0910 (0.0807) loss_cl: -0.3674 (-0.3672) time: 0.8609 data: 0.0002 max mem: 29859 [21:39:45.897118] Epoch: [206] [360/850] eta: 0:07:11 lr: 0.002127 loss: 0.0222 (0.0215) loss_rec_all: 0.0582 (0.0577) loss_rec_sfr: 0.0843 (0.0811) loss_cl: -0.3673 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [21:40:03.119919] Epoch: [206] [380/850] eta: 0:06:53 lr: 0.002127 loss: 0.0200 (0.0215) loss_rec_all: 0.0563 (0.0577) loss_rec_sfr: 0.0627 (0.0810) loss_cl: -0.3671 (-0.3672) time: 0.8611 data: 0.0002 max mem: 29859 [21:40:20.381194] Epoch: [206] [400/850] eta: 0:06:35 lr: 0.002127 loss: 0.0210 (0.0215) loss_rec_all: 0.0571 (0.0577) loss_rec_sfr: 0.0651 (0.0811) loss_cl: -0.3671 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [21:40:37.598368] Epoch: [206] [420/850] eta: 0:06:17 lr: 0.002127 loss: 0.0200 (0.0214) loss_rec_all: 0.0562 (0.0576) loss_rec_sfr: 0.0603 (0.0807) loss_cl: -0.3669 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [21:40:54.858717] Epoch: [206] [440/850] eta: 0:05:59 lr: 0.002127 loss: 0.0191 (0.0214) loss_rec_all: 0.0554 (0.0575) loss_rec_sfr: 0.0649 (0.0805) loss_cl: -0.3676 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [21:41:12.083990] Epoch: [206] [460/850] eta: 0:05:42 lr: 0.002127 loss: 0.0213 (0.0214) loss_rec_all: 0.0574 (0.0576) loss_rec_sfr: 0.0845 (0.0810) loss_cl: -0.3678 (-0.3672) time: 0.8612 data: 0.0002 max mem: 29859 [21:41:29.338610] Epoch: [206] [480/850] eta: 0:05:24 lr: 0.002127 loss: 0.0227 (0.0215) loss_rec_all: 0.0589 (0.0576) loss_rec_sfr: 0.0869 (0.0817) loss_cl: -0.3674 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [21:41:46.570959] Epoch: [206] [500/850] eta: 0:05:06 lr: 0.002127 loss: 0.0201 (0.0215) loss_rec_all: 0.0564 (0.0576) loss_rec_sfr: 0.0676 (0.0816) loss_cl: -0.3671 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [21:42:03.828091] Epoch: [206] [520/850] eta: 0:04:48 lr: 0.002126 loss: 0.0208 (0.0215) loss_rec_all: 0.0568 (0.0576) loss_rec_sfr: 0.0705 (0.0817) loss_cl: -0.3669 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [21:42:21.045787] Epoch: [206] [540/850] eta: 0:04:31 lr: 0.002126 loss: 0.0220 (0.0215) loss_rec_all: 0.0580 (0.0577) loss_rec_sfr: 0.0885 (0.0820) loss_cl: -0.3669 (-0.3672) time: 0.8608 data: 0.0002 max mem: 29859 [21:42:38.305311] Epoch: [206] [560/850] eta: 0:04:13 lr: 0.002126 loss: 0.0220 (0.0216) loss_rec_all: 0.0580 (0.0577) loss_rec_sfr: 0.0880 (0.0826) loss_cl: -0.3676 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [21:42:55.533157] Epoch: [206] [580/850] eta: 0:03:55 lr: 0.002126 loss: 0.0212 (0.0216) loss_rec_all: 0.0574 (0.0577) loss_rec_sfr: 0.0990 (0.0829) loss_cl: -0.3676 (-0.3672) time: 0.8613 data: 0.0002 max mem: 29859 [21:43:12.796379] Epoch: [206] [600/850] eta: 0:03:38 lr: 0.002126 loss: 0.0200 (0.0216) loss_rec_all: 0.0563 (0.0577) loss_rec_sfr: 0.0637 (0.0826) loss_cl: -0.3677 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [21:43:30.017045] Epoch: [206] [620/850] eta: 0:03:20 lr: 0.002126 loss: 0.0214 (0.0216) loss_rec_all: 0.0577 (0.0578) loss_rec_sfr: 0.0866 (0.0828) loss_cl: -0.3673 (-0.3673) time: 0.8610 data: 0.0002 max mem: 29859 [21:43:47.291578] Epoch: [206] [640/850] eta: 0:03:03 lr: 0.002126 loss: 0.0208 (0.0216) loss_rec_all: 0.0570 (0.0578) loss_rec_sfr: 0.0830 (0.0830) loss_cl: -0.3674 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [21:44:04.504515] Epoch: [206] [660/850] eta: 0:02:45 lr: 0.002126 loss: 0.0222 (0.0216) loss_rec_all: 0.0581 (0.0578) loss_rec_sfr: 0.0892 (0.0833) loss_cl: -0.3673 (-0.3673) time: 0.8606 data: 0.0002 max mem: 29859 [21:44:21.772083] Epoch: [206] [680/850] eta: 0:02:28 lr: 0.002126 loss: 0.0198 (0.0216) loss_rec_all: 0.0560 (0.0578) loss_rec_sfr: 0.0847 (0.0833) loss_cl: -0.3674 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [21:44:38.992786] Epoch: [206] [700/850] eta: 0:02:10 lr: 0.002126 loss: 0.0206 (0.0216) loss_rec_all: 0.0566 (0.0578) loss_rec_sfr: 0.0671 (0.0833) loss_cl: -0.3677 (-0.3673) time: 0.8610 data: 0.0002 max mem: 29859 [21:44:56.261863] Epoch: [206] [720/850] eta: 0:01:53 lr: 0.002126 loss: 0.0211 (0.0216) loss_rec_all: 0.0573 (0.0578) loss_rec_sfr: 0.0680 (0.0833) loss_cl: -0.3667 (-0.3673) time: 0.8634 data: 0.0003 max mem: 29859 [21:45:13.490998] Epoch: [206] [740/850] eta: 0:01:35 lr: 0.002126 loss: 0.0216 (0.0216) loss_rec_all: 0.0574 (0.0578) loss_rec_sfr: 0.0718 (0.0833) loss_cl: -0.3674 (-0.3672) time: 0.8614 data: 0.0002 max mem: 29859 [21:45:30.745489] Epoch: [206] [760/850] eta: 0:01:18 lr: 0.002126 loss: 0.0214 (0.0216) loss_rec_all: 0.0573 (0.0578) loss_rec_sfr: 0.0703 (0.0834) loss_cl: -0.3674 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [21:45:47.977058] Epoch: [206] [780/850] eta: 0:01:00 lr: 0.002126 loss: 0.0218 (0.0217) loss_rec_all: 0.0582 (0.0578) loss_rec_sfr: 0.0657 (0.0834) loss_cl: -0.3676 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [21:46:05.235386] Epoch: [206] [800/850] eta: 0:00:43 lr: 0.002125 loss: 0.0210 (0.0217) loss_rec_all: 0.0572 (0.0578) loss_rec_sfr: 0.0646 (0.0833) loss_cl: -0.3670 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [21:46:22.473901] Epoch: [206] [820/850] eta: 0:00:26 lr: 0.002125 loss: 0.0210 (0.0216) loss_rec_all: 0.0573 (0.0578) loss_rec_sfr: 0.0708 (0.0833) loss_cl: -0.3670 (-0.3672) time: 0.8619 data: 0.0003 max mem: 29859 [21:46:39.746233] Epoch: [206] [840/850] eta: 0:00:08 lr: 0.002125 loss: 0.0210 (0.0217) loss_rec_all: 0.0572 (0.0578) loss_rec_sfr: 0.0878 (0.0833) loss_cl: -0.3673 (-0.3672) time: 0.8635 data: 0.0005 max mem: 29859 [21:46:47.496691] Epoch: [206] [849/850] eta: 0:00:00 lr: 0.002125 loss: 0.0205 (0.0217) loss_rec_all: 0.0566 (0.0578) loss_rec_sfr: 0.0611 (0.0831) loss_cl: -0.3675 (-0.3672) time: 0.8634 data: 0.0005 max mem: 29859 [21:46:47.640251] Epoch: [206] Total time: 0:12:19 (0.8705 s / it) [21:46:47.642804] Averaged stats: lr: 0.002125 loss: 0.0205 (0.0217) loss_rec_all: 0.0566 (0.0578) loss_rec_sfr: 0.0611 (0.0823) loss_cl: -0.3675 (-0.3672) [21:46:47.654690] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [21:46:53.846001] Epoch: [207] [ 0/850] eta: 1:27:41 lr: 0.002125 loss: 0.0299 (0.0299) loss_rec_all: 0.0660 (0.0660) loss_rec_sfr: 0.0954 (0.0954) loss_cl: -0.3678 (-0.3678) time: 6.1904 data: 4.6028 max mem: 29859 [21:47:11.047724] Epoch: [207] [ 20/850] eta: 0:15:24 lr: 0.002125 loss: 0.0210 (0.0217) loss_rec_all: 0.0574 (0.0579) loss_rec_sfr: 0.0645 (0.0779) loss_cl: -0.3681 (-0.3679) time: 0.8600 data: 0.0003 max mem: 29859 [21:47:28.326716] Epoch: [207] [ 40/850] eta: 0:13:23 lr: 0.002125 loss: 0.0196 (0.0211) loss_rec_all: 0.0557 (0.0573) loss_rec_sfr: 0.0844 (0.0801) loss_cl: -0.3680 (-0.3679) time: 0.8639 data: 0.0002 max mem: 29859 [21:47:45.561105] Epoch: [207] [ 60/850] eta: 0:12:29 lr: 0.002125 loss: 0.0199 (0.0211) loss_rec_all: 0.0562 (0.0573) loss_rec_sfr: 0.0685 (0.0805) loss_cl: -0.3673 (-0.3677) time: 0.8617 data: 0.0002 max mem: 29859 [21:48:02.855177] Epoch: [207] [ 80/850] eta: 0:11:54 lr: 0.002125 loss: 0.0209 (0.0215) loss_rec_all: 0.0569 (0.0577) loss_rec_sfr: 0.0823 (0.0808) loss_cl: -0.3668 (-0.3675) time: 0.8646 data: 0.0002 max mem: 29859 [21:48:20.107872] Epoch: [207] [100/850] eta: 0:11:26 lr: 0.002125 loss: 0.0197 (0.0213) loss_rec_all: 0.0559 (0.0575) loss_rec_sfr: 0.0630 (0.0792) loss_cl: -0.3669 (-0.3674) time: 0.8626 data: 0.0003 max mem: 29859 [21:48:37.392097] Epoch: [207] [120/850] eta: 0:11:02 lr: 0.002125 loss: 0.0216 (0.0214) loss_rec_all: 0.0574 (0.0575) loss_rec_sfr: 0.0623 (0.0800) loss_cl: -0.3670 (-0.3673) time: 0.8642 data: 0.0003 max mem: 29859 [21:48:54.622923] Epoch: [207] [140/850] eta: 0:10:39 lr: 0.002125 loss: 0.0207 (0.0213) loss_rec_all: 0.0572 (0.0575) loss_rec_sfr: 0.0666 (0.0808) loss_cl: -0.3678 (-0.3674) time: 0.8615 data: 0.0002 max mem: 29859 [21:49:11.910153] Epoch: [207] [160/850] eta: 0:10:18 lr: 0.002125 loss: 0.0202 (0.0213) loss_rec_all: 0.0566 (0.0575) loss_rec_sfr: 0.0831 (0.0812) loss_cl: -0.3682 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [21:49:29.118947] Epoch: [207] [180/850] eta: 0:09:57 lr: 0.002125 loss: 0.0213 (0.0213) loss_rec_all: 0.0572 (0.0575) loss_rec_sfr: 0.0612 (0.0805) loss_cl: -0.3681 (-0.3675) time: 0.8604 data: 0.0002 max mem: 29859 [21:49:46.417303] Epoch: [207] [200/850] eta: 0:09:38 lr: 0.002125 loss: 0.0210 (0.0213) loss_rec_all: 0.0573 (0.0575) loss_rec_sfr: 0.0668 (0.0809) loss_cl: -0.3671 (-0.3675) time: 0.8649 data: 0.0002 max mem: 29859 [21:50:03.646339] Epoch: [207] [220/850] eta: 0:09:18 lr: 0.002124 loss: 0.0208 (0.0214) loss_rec_all: 0.0571 (0.0576) loss_rec_sfr: 0.0617 (0.0807) loss_cl: -0.3668 (-0.3674) time: 0.8614 data: 0.0002 max mem: 29859 [21:50:20.901418] Epoch: [207] [240/850] eta: 0:08:59 lr: 0.002124 loss: 0.0203 (0.0214) loss_rec_all: 0.0566 (0.0575) loss_rec_sfr: 0.0628 (0.0802) loss_cl: -0.3666 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [21:50:38.126700] Epoch: [207] [260/850] eta: 0:08:40 lr: 0.002124 loss: 0.0211 (0.0214) loss_rec_all: 0.0570 (0.0576) loss_rec_sfr: 0.0841 (0.0805) loss_cl: -0.3666 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [21:50:55.382885] Epoch: [207] [280/850] eta: 0:08:22 lr: 0.002124 loss: 0.0213 (0.0216) loss_rec_all: 0.0574 (0.0577) loss_rec_sfr: 0.0683 (0.0805) loss_cl: -0.3672 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [21:51:12.619144] Epoch: [207] [300/850] eta: 0:08:04 lr: 0.002124 loss: 0.0203 (0.0216) loss_rec_all: 0.0566 (0.0577) loss_rec_sfr: 0.0644 (0.0803) loss_cl: -0.3681 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [21:51:29.879055] Epoch: [207] [320/850] eta: 0:07:45 lr: 0.002124 loss: 0.0194 (0.0214) loss_rec_all: 0.0558 (0.0576) loss_rec_sfr: 0.0621 (0.0794) loss_cl: -0.3679 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [21:51:47.112144] Epoch: [207] [340/850] eta: 0:07:27 lr: 0.002124 loss: 0.0205 (0.0215) loss_rec_all: 0.0566 (0.0576) loss_rec_sfr: 0.0602 (0.0794) loss_cl: -0.3672 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [21:52:04.367071] Epoch: [207] [360/850] eta: 0:07:09 lr: 0.002124 loss: 0.0211 (0.0215) loss_rec_all: 0.0573 (0.0577) loss_rec_sfr: 0.0706 (0.0795) loss_cl: -0.3670 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [21:52:21.590384] Epoch: [207] [380/850] eta: 0:06:51 lr: 0.002124 loss: 0.0210 (0.0215) loss_rec_all: 0.0570 (0.0576) loss_rec_sfr: 0.0659 (0.0795) loss_cl: -0.3668 (-0.3673) time: 0.8610 data: 0.0002 max mem: 29859 [21:52:38.870437] Epoch: [207] [400/850] eta: 0:06:34 lr: 0.002124 loss: 0.0206 (0.0215) loss_rec_all: 0.0568 (0.0577) loss_rec_sfr: 0.0719 (0.0799) loss_cl: -0.3669 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [21:52:56.075657] Epoch: [207] [420/850] eta: 0:06:16 lr: 0.002124 loss: 0.0224 (0.0216) loss_rec_all: 0.0585 (0.0577) loss_rec_sfr: 0.0629 (0.0797) loss_cl: -0.3674 (-0.3673) time: 0.8602 data: 0.0002 max mem: 29859 [21:53:13.349883] Epoch: [207] [440/850] eta: 0:05:58 lr: 0.002124 loss: 0.0220 (0.0216) loss_rec_all: 0.0582 (0.0578) loss_rec_sfr: 0.0856 (0.0801) loss_cl: -0.3676 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [21:53:30.551793] Epoch: [207] [460/850] eta: 0:05:40 lr: 0.002124 loss: 0.0221 (0.0216) loss_rec_all: 0.0579 (0.0578) loss_rec_sfr: 0.0686 (0.0802) loss_cl: -0.3677 (-0.3673) time: 0.8600 data: 0.0002 max mem: 29859 [21:53:47.815828] Epoch: [207] [480/850] eta: 0:05:23 lr: 0.002123 loss: 0.0226 (0.0217) loss_rec_all: 0.0587 (0.0579) loss_rec_sfr: 0.0778 (0.0805) loss_cl: -0.3671 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [21:54:05.030787] Epoch: [207] [500/850] eta: 0:05:05 lr: 0.002123 loss: 0.0227 (0.0218) loss_rec_all: 0.0590 (0.0579) loss_rec_sfr: 0.0805 (0.0805) loss_cl: -0.3671 (-0.3673) time: 0.8607 data: 0.0002 max mem: 29859 [21:54:22.290720] Epoch: [207] [520/850] eta: 0:04:47 lr: 0.002123 loss: 0.0217 (0.0218) loss_rec_all: 0.0579 (0.0579) loss_rec_sfr: 0.0655 (0.0807) loss_cl: -0.3675 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [21:54:39.508639] Epoch: [207] [540/850] eta: 0:04:30 lr: 0.002123 loss: 0.0221 (0.0218) loss_rec_all: 0.0584 (0.0580) loss_rec_sfr: 0.0894 (0.0811) loss_cl: -0.3676 (-0.3673) time: 0.8608 data: 0.0002 max mem: 29859 [21:54:56.779777] Epoch: [207] [560/850] eta: 0:04:12 lr: 0.002123 loss: 0.0206 (0.0218) loss_rec_all: 0.0569 (0.0580) loss_rec_sfr: 0.0614 (0.0811) loss_cl: -0.3672 (-0.3673) time: 0.8635 data: 0.0003 max mem: 29859 [21:55:14.023016] Epoch: [207] [580/850] eta: 0:03:55 lr: 0.002123 loss: 0.0204 (0.0218) loss_rec_all: 0.0565 (0.0580) loss_rec_sfr: 0.0718 (0.0813) loss_cl: -0.3672 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [21:55:31.281322] Epoch: [207] [600/850] eta: 0:03:37 lr: 0.002123 loss: 0.0205 (0.0218) loss_rec_all: 0.0568 (0.0580) loss_rec_sfr: 0.0802 (0.0813) loss_cl: -0.3672 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [21:55:48.520298] Epoch: [207] [620/850] eta: 0:03:20 lr: 0.002123 loss: 0.0201 (0.0218) loss_rec_all: 0.0563 (0.0579) loss_rec_sfr: 0.0631 (0.0811) loss_cl: -0.3670 (-0.3673) time: 0.8619 data: 0.0003 max mem: 29859 [21:56:05.780926] Epoch: [207] [640/850] eta: 0:03:02 lr: 0.002123 loss: 0.0206 (0.0218) loss_rec_all: 0.0567 (0.0579) loss_rec_sfr: 0.0881 (0.0813) loss_cl: -0.3666 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [21:56:23.018823] Epoch: [207] [660/850] eta: 0:02:45 lr: 0.002123 loss: 0.0202 (0.0217) loss_rec_all: 0.0565 (0.0579) loss_rec_sfr: 0.0648 (0.0813) loss_cl: -0.3677 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [21:56:40.279422] Epoch: [207] [680/850] eta: 0:02:27 lr: 0.002123 loss: 0.0203 (0.0217) loss_rec_all: 0.0565 (0.0579) loss_rec_sfr: 0.0670 (0.0812) loss_cl: -0.3677 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [21:56:57.504319] Epoch: [207] [700/850] eta: 0:02:10 lr: 0.002123 loss: 0.0211 (0.0217) loss_rec_all: 0.0571 (0.0579) loss_rec_sfr: 0.1031 (0.0816) loss_cl: -0.3680 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [21:57:14.780952] Epoch: [207] [720/850] eta: 0:01:53 lr: 0.002123 loss: 0.0216 (0.0218) loss_rec_all: 0.0580 (0.0579) loss_rec_sfr: 0.0836 (0.0816) loss_cl: -0.3681 (-0.3673) time: 0.8638 data: 0.0003 max mem: 29859 [21:57:31.998764] Epoch: [207] [740/850] eta: 0:01:35 lr: 0.002123 loss: 0.0244 (0.0219) loss_rec_all: 0.0603 (0.0580) loss_rec_sfr: 0.0984 (0.0819) loss_cl: -0.3673 (-0.3673) time: 0.8608 data: 0.0003 max mem: 29859 [21:57:49.268923] Epoch: [207] [760/850] eta: 0:01:18 lr: 0.002122 loss: 0.0226 (0.0220) loss_rec_all: 0.0588 (0.0581) loss_rec_sfr: 0.0771 (0.0820) loss_cl: -0.3671 (-0.3673) time: 0.8635 data: 0.0003 max mem: 29859 [21:58:06.490760] Epoch: [207] [780/850] eta: 0:01:00 lr: 0.002122 loss: 0.0231 (0.0220) loss_rec_all: 0.0593 (0.0582) loss_rec_sfr: 0.0663 (0.0819) loss_cl: -0.3672 (-0.3673) time: 0.8610 data: 0.0002 max mem: 29859 [21:58:23.770184] Epoch: [207] [800/850] eta: 0:00:43 lr: 0.002122 loss: 0.0224 (0.0220) loss_rec_all: 0.0583 (0.0582) loss_rec_sfr: 0.0868 (0.0820) loss_cl: -0.3679 (-0.3673) time: 0.8639 data: 0.0003 max mem: 29859 [21:58:41.000735] Epoch: [207] [820/850] eta: 0:00:26 lr: 0.002122 loss: 0.0212 (0.0220) loss_rec_all: 0.0574 (0.0582) loss_rec_sfr: 0.0606 (0.0818) loss_cl: -0.3672 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [21:58:58.254107] Epoch: [207] [840/850] eta: 0:00:08 lr: 0.002122 loss: 0.0221 (0.0221) loss_rec_all: 0.0583 (0.0582) loss_rec_sfr: 0.0694 (0.0819) loss_cl: -0.3668 (-0.3673) time: 0.8626 data: 0.0005 max mem: 29859 [21:59:08.351299] Epoch: [207] [849/850] eta: 0:00:00 lr: 0.002122 loss: 0.0221 (0.0221) loss_rec_all: 0.0583 (0.0582) loss_rec_sfr: 0.0658 (0.0818) loss_cl: -0.3667 (-0.3673) time: 0.9801 data: 0.1177 max mem: 29859 [21:59:08.478116] Epoch: [207] Total time: 0:12:20 (0.8716 s / it) [21:59:08.497727] Averaged stats: lr: 0.002122 loss: 0.0221 (0.0221) loss_rec_all: 0.0583 (0.0582) loss_rec_sfr: 0.0658 (0.0822) loss_cl: -0.3667 (-0.3673) [21:59:08.505332] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [21:59:14.888974] Epoch: [208] [ 0/850] eta: 1:30:24 lr: 0.002122 loss: 0.0207 (0.0207) loss_rec_all: 0.0567 (0.0567) loss_rec_sfr: 0.0958 (0.0958) loss_cl: -0.3667 (-0.3667) time: 6.3821 data: 5.5312 max mem: 29859 [21:59:32.054880] Epoch: [208] [ 20/850] eta: 0:15:30 lr: 0.002122 loss: 0.0205 (0.0214) loss_rec_all: 0.0567 (0.0575) loss_rec_sfr: 0.0650 (0.0826) loss_cl: -0.3671 (-0.3671) time: 0.8582 data: 0.0002 max mem: 29859 [21:59:49.284715] Epoch: [208] [ 40/850] eta: 0:13:25 lr: 0.002122 loss: 0.0198 (0.0213) loss_rec_all: 0.0561 (0.0574) loss_rec_sfr: 0.0621 (0.0776) loss_cl: -0.3671 (-0.3671) time: 0.8614 data: 0.0002 max mem: 29859 [22:00:06.521540] Epoch: [208] [ 60/850] eta: 0:12:31 lr: 0.002122 loss: 0.0208 (0.0213) loss_rec_all: 0.0572 (0.0575) loss_rec_sfr: 0.0601 (0.0752) loss_cl: -0.3673 (-0.3671) time: 0.8618 data: 0.0003 max mem: 29859 [22:00:23.807222] Epoch: [208] [ 80/850] eta: 0:11:55 lr: 0.002122 loss: 0.0211 (0.0215) loss_rec_all: 0.0574 (0.0576) loss_rec_sfr: 0.0868 (0.0795) loss_cl: -0.3678 (-0.3673) time: 0.8642 data: 0.0003 max mem: 29859 [22:00:41.055344] Epoch: [208] [100/850] eta: 0:11:27 lr: 0.002122 loss: 0.0205 (0.0215) loss_rec_all: 0.0568 (0.0577) loss_rec_sfr: 0.0965 (0.0820) loss_cl: -0.3677 (-0.3674) time: 0.8624 data: 0.0003 max mem: 29859 [22:00:58.316901] Epoch: [208] [120/850] eta: 0:11:02 lr: 0.002122 loss: 0.0200 (0.0213) loss_rec_all: 0.0561 (0.0575) loss_rec_sfr: 0.0861 (0.0826) loss_cl: -0.3683 (-0.3675) time: 0.8630 data: 0.0002 max mem: 29859 [22:01:15.542892] Epoch: [208] [140/850] eta: 0:10:39 lr: 0.002122 loss: 0.0208 (0.0214) loss_rec_all: 0.0571 (0.0576) loss_rec_sfr: 0.0634 (0.0822) loss_cl: -0.3677 (-0.3676) time: 0.8613 data: 0.0002 max mem: 29859 [22:01:32.798867] Epoch: [208] [160/850] eta: 0:10:18 lr: 0.002121 loss: 0.0222 (0.0214) loss_rec_all: 0.0580 (0.0576) loss_rec_sfr: 0.0802 (0.0828) loss_cl: -0.3673 (-0.3675) time: 0.8628 data: 0.0002 max mem: 29859 [22:01:50.021491] Epoch: [208] [180/850] eta: 0:09:57 lr: 0.002121 loss: 0.0211 (0.0215) loss_rec_all: 0.0570 (0.0576) loss_rec_sfr: 0.0919 (0.0840) loss_cl: -0.3673 (-0.3675) time: 0.8611 data: 0.0002 max mem: 29859 [22:02:07.344703] Epoch: [208] [200/850] eta: 0:09:38 lr: 0.002121 loss: 0.0206 (0.0214) loss_rec_all: 0.0569 (0.0576) loss_rec_sfr: 0.0654 (0.0840) loss_cl: -0.3672 (-0.3675) time: 0.8661 data: 0.0002 max mem: 29859 [22:02:24.572053] Epoch: [208] [220/850] eta: 0:09:18 lr: 0.002121 loss: 0.0218 (0.0215) loss_rec_all: 0.0580 (0.0576) loss_rec_sfr: 0.0806 (0.0837) loss_cl: -0.3672 (-0.3674) time: 0.8613 data: 0.0002 max mem: 29859 [22:02:41.859624] Epoch: [208] [240/850] eta: 0:08:59 lr: 0.002121 loss: 0.0226 (0.0216) loss_rec_all: 0.0585 (0.0577) loss_rec_sfr: 0.0680 (0.0839) loss_cl: -0.3671 (-0.3674) time: 0.8643 data: 0.0003 max mem: 29859 [22:02:59.085057] Epoch: [208] [260/850] eta: 0:08:41 lr: 0.002121 loss: 0.0214 (0.0216) loss_rec_all: 0.0574 (0.0577) loss_rec_sfr: 0.0835 (0.0840) loss_cl: -0.3669 (-0.3674) time: 0.8612 data: 0.0002 max mem: 29859 [22:03:16.347446] Epoch: [208] [280/850] eta: 0:08:22 lr: 0.002121 loss: 0.0211 (0.0216) loss_rec_all: 0.0574 (0.0578) loss_rec_sfr: 0.0884 (0.0840) loss_cl: -0.3674 (-0.3673) time: 0.8631 data: 0.0003 max mem: 29859 [22:03:33.588523] Epoch: [208] [300/850] eta: 0:08:04 lr: 0.002121 loss: 0.0213 (0.0217) loss_rec_all: 0.0576 (0.0578) loss_rec_sfr: 0.0611 (0.0841) loss_cl: -0.3671 (-0.3673) time: 0.8620 data: 0.0003 max mem: 29859 [22:03:50.852552] Epoch: [208] [320/850] eta: 0:07:46 lr: 0.002121 loss: 0.0211 (0.0217) loss_rec_all: 0.0572 (0.0578) loss_rec_sfr: 0.0591 (0.0834) loss_cl: -0.3671 (-0.3673) time: 0.8631 data: 0.0003 max mem: 29859 [22:04:08.111113] Epoch: [208] [340/850] eta: 0:07:28 lr: 0.002121 loss: 0.0226 (0.0217) loss_rec_all: 0.0588 (0.0579) loss_rec_sfr: 0.0672 (0.0831) loss_cl: -0.3670 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [22:04:25.394982] Epoch: [208] [360/850] eta: 0:07:10 lr: 0.002121 loss: 0.0230 (0.0218) loss_rec_all: 0.0593 (0.0580) loss_rec_sfr: 0.0676 (0.0832) loss_cl: -0.3676 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [22:04:42.610276] Epoch: [208] [380/850] eta: 0:06:52 lr: 0.002121 loss: 0.0225 (0.0220) loss_rec_all: 0.0584 (0.0581) loss_rec_sfr: 0.0887 (0.0835) loss_cl: -0.3671 (-0.3673) time: 0.8607 data: 0.0002 max mem: 29859 [22:04:59.893467] Epoch: [208] [400/850] eta: 0:06:34 lr: 0.002121 loss: 0.0225 (0.0220) loss_rec_all: 0.0588 (0.0581) loss_rec_sfr: 0.0654 (0.0832) loss_cl: -0.3670 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [22:05:17.146791] Epoch: [208] [420/850] eta: 0:06:16 lr: 0.002121 loss: 0.0215 (0.0220) loss_rec_all: 0.0578 (0.0581) loss_rec_sfr: 0.0591 (0.0829) loss_cl: -0.3671 (-0.3673) time: 0.8626 data: 0.0003 max mem: 29859 [22:05:34.406305] Epoch: [208] [440/850] eta: 0:05:58 lr: 0.002120 loss: 0.0216 (0.0220) loss_rec_all: 0.0576 (0.0582) loss_rec_sfr: 0.0862 (0.0832) loss_cl: -0.3673 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [22:05:51.633458] Epoch: [208] [460/850] eta: 0:05:41 lr: 0.002120 loss: 0.0208 (0.0220) loss_rec_all: 0.0569 (0.0581) loss_rec_sfr: 0.0695 (0.0833) loss_cl: -0.3680 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [22:06:08.900152] Epoch: [208] [480/850] eta: 0:05:23 lr: 0.002120 loss: 0.0206 (0.0220) loss_rec_all: 0.0569 (0.0582) loss_rec_sfr: 0.0847 (0.0831) loss_cl: -0.3679 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [22:06:26.127437] Epoch: [208] [500/850] eta: 0:05:05 lr: 0.002120 loss: 0.0197 (0.0220) loss_rec_all: 0.0561 (0.0581) loss_rec_sfr: 0.0574 (0.0827) loss_cl: -0.3675 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [22:06:43.393330] Epoch: [208] [520/850] eta: 0:04:48 lr: 0.002120 loss: 0.0231 (0.0220) loss_rec_all: 0.0594 (0.0582) loss_rec_sfr: 0.0926 (0.0830) loss_cl: -0.3675 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [22:07:00.610635] Epoch: [208] [540/850] eta: 0:04:30 lr: 0.002120 loss: 0.0227 (0.0221) loss_rec_all: 0.0591 (0.0583) loss_rec_sfr: 0.0679 (0.0830) loss_cl: -0.3675 (-0.3674) time: 0.8608 data: 0.0002 max mem: 29859 [22:07:17.869808] Epoch: [208] [560/850] eta: 0:04:12 lr: 0.002120 loss: 0.0231 (0.0222) loss_rec_all: 0.0589 (0.0584) loss_rec_sfr: 0.0950 (0.0833) loss_cl: -0.3675 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [22:07:35.095634] Epoch: [208] [580/850] eta: 0:03:55 lr: 0.002120 loss: 0.0240 (0.0223) loss_rec_all: 0.0602 (0.0585) loss_rec_sfr: 0.0864 (0.0832) loss_cl: -0.3671 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [22:07:52.375627] Epoch: [208] [600/850] eta: 0:03:37 lr: 0.002120 loss: 0.0227 (0.0224) loss_rec_all: 0.0589 (0.0585) loss_rec_sfr: 0.1005 (0.0836) loss_cl: -0.3667 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [22:08:09.596396] Epoch: [208] [620/850] eta: 0:03:20 lr: 0.002120 loss: 0.0232 (0.0224) loss_rec_all: 0.0591 (0.0585) loss_rec_sfr: 0.0678 (0.0836) loss_cl: -0.3667 (-0.3673) time: 0.8610 data: 0.0002 max mem: 29859 [22:08:26.888265] Epoch: [208] [640/850] eta: 0:03:02 lr: 0.002120 loss: 0.0217 (0.0224) loss_rec_all: 0.0579 (0.0585) loss_rec_sfr: 0.0708 (0.0835) loss_cl: -0.3672 (-0.3673) time: 0.8645 data: 0.0003 max mem: 29859 [22:08:44.114064] Epoch: [208] [660/850] eta: 0:02:45 lr: 0.002120 loss: 0.0210 (0.0224) loss_rec_all: 0.0572 (0.0585) loss_rec_sfr: 0.0975 (0.0837) loss_cl: -0.3674 (-0.3673) time: 0.8612 data: 0.0003 max mem: 29859 [22:09:01.380999] Epoch: [208] [680/850] eta: 0:02:27 lr: 0.002120 loss: 0.0204 (0.0224) loss_rec_all: 0.0567 (0.0585) loss_rec_sfr: 0.0627 (0.0835) loss_cl: -0.3675 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [22:09:18.643196] Epoch: [208] [700/850] eta: 0:02:10 lr: 0.002119 loss: 0.0208 (0.0223) loss_rec_all: 0.0570 (0.0585) loss_rec_sfr: 0.0588 (0.0833) loss_cl: -0.3674 (-0.3673) time: 0.8630 data: 0.0003 max mem: 29859 [22:09:35.895890] Epoch: [208] [720/850] eta: 0:01:53 lr: 0.002119 loss: 0.0213 (0.0223) loss_rec_all: 0.0572 (0.0584) loss_rec_sfr: 0.0834 (0.0833) loss_cl: -0.3671 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [22:09:53.103288] Epoch: [208] [740/850] eta: 0:01:35 lr: 0.002119 loss: 0.0207 (0.0223) loss_rec_all: 0.0569 (0.0584) loss_rec_sfr: 0.0654 (0.0832) loss_cl: -0.3679 (-0.3673) time: 0.8603 data: 0.0002 max mem: 29859 [22:10:10.398485] Epoch: [208] [760/850] eta: 0:01:18 lr: 0.002119 loss: 0.0207 (0.0222) loss_rec_all: 0.0570 (0.0584) loss_rec_sfr: 0.0655 (0.0832) loss_cl: -0.3670 (-0.3673) time: 0.8647 data: 0.0003 max mem: 29859 [22:10:27.624731] Epoch: [208] [780/850] eta: 0:01:00 lr: 0.002119 loss: 0.0209 (0.0222) loss_rec_all: 0.0573 (0.0584) loss_rec_sfr: 0.0631 (0.0832) loss_cl: -0.3671 (-0.3673) time: 0.8613 data: 0.0003 max mem: 29859 [22:10:44.894609] Epoch: [208] [800/850] eta: 0:00:43 lr: 0.002119 loss: 0.0220 (0.0222) loss_rec_all: 0.0578 (0.0584) loss_rec_sfr: 0.0747 (0.0832) loss_cl: -0.3674 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [22:11:03.544588] Epoch: [208] [820/850] eta: 0:00:26 lr: 0.002119 loss: 0.0220 (0.0223) loss_rec_all: 0.0581 (0.0584) loss_rec_sfr: 0.0875 (0.0835) loss_cl: -0.3677 (-0.3673) time: 0.9324 data: 0.0003 max mem: 29859 [22:11:32.145424] Epoch: [208] [840/850] eta: 0:00:08 lr: 0.002119 loss: 0.0221 (0.0223) loss_rec_all: 0.0584 (0.0584) loss_rec_sfr: 0.0616 (0.0835) loss_cl: -0.3675 (-0.3673) time: 1.4300 data: 0.3883 max mem: 29859 [22:11:46.539533] Epoch: [208] [849/850] eta: 0:00:00 lr: 0.002119 loss: 0.0222 (0.0223) loss_rec_all: 0.0585 (0.0584) loss_rec_sfr: 0.0597 (0.0834) loss_cl: -0.3674 (-0.3673) time: 1.4466 data: 0.2362 max mem: 29859 [22:11:46.707699] Epoch: [208] Total time: 0:12:38 (0.8920 s / it) [22:11:46.713948] Averaged stats: lr: 0.002119 loss: 0.0222 (0.0222) loss_rec_all: 0.0585 (0.0584) loss_rec_sfr: 0.0597 (0.0832) loss_cl: -0.3674 (-0.3673) [22:11:46.745809] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [22:11:57.256660] Epoch: [209] [ 0/850] eta: 2:28:53 lr: 0.002119 loss: 0.0207 (0.0207) loss_rec_all: 0.0570 (0.0570) loss_rec_sfr: 0.0588 (0.0588) loss_cl: -0.3679 (-0.3679) time: 10.5096 data: 9.6629 max mem: 29859 [22:12:14.383143] Epoch: [209] [ 20/850] eta: 0:18:12 lr: 0.002119 loss: 0.0214 (0.0223) loss_rec_all: 0.0577 (0.0586) loss_rec_sfr: 0.0711 (0.0783) loss_cl: -0.3676 (-0.3676) time: 0.8562 data: 0.0003 max mem: 29859 [22:12:31.560712] Epoch: [209] [ 40/850] eta: 0:14:45 lr: 0.002119 loss: 0.0209 (0.0223) loss_rec_all: 0.0572 (0.0584) loss_rec_sfr: 0.0870 (0.0827) loss_cl: -0.3673 (-0.3674) time: 0.8588 data: 0.0003 max mem: 29859 [22:12:48.719117] Epoch: [209] [ 60/850] eta: 0:13:22 lr: 0.002119 loss: 0.0195 (0.0216) loss_rec_all: 0.0557 (0.0577) loss_rec_sfr: 0.0620 (0.0813) loss_cl: -0.3668 (-0.3672) time: 0.8579 data: 0.0002 max mem: 29859 [22:13:05.993020] Epoch: [209] [ 80/850] eta: 0:12:33 lr: 0.002119 loss: 0.0219 (0.0219) loss_rec_all: 0.0580 (0.0580) loss_rec_sfr: 0.0866 (0.0836) loss_cl: -0.3672 (-0.3672) time: 0.8636 data: 0.0003 max mem: 29859 [22:13:23.194596] Epoch: [209] [100/850] eta: 0:11:56 lr: 0.002119 loss: 0.0205 (0.0218) loss_rec_all: 0.0568 (0.0580) loss_rec_sfr: 0.0663 (0.0813) loss_cl: -0.3675 (-0.3672) time: 0.8600 data: 0.0002 max mem: 29859 [22:13:40.470665] Epoch: [209] [120/850] eta: 0:11:26 lr: 0.002118 loss: 0.0200 (0.0217) loss_rec_all: 0.0562 (0.0578) loss_rec_sfr: 0.0720 (0.0813) loss_cl: -0.3672 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [22:13:57.704616] Epoch: [209] [140/850] eta: 0:10:59 lr: 0.002118 loss: 0.0213 (0.0218) loss_rec_all: 0.0576 (0.0579) loss_rec_sfr: 0.0691 (0.0812) loss_cl: -0.3673 (-0.3672) time: 0.8616 data: 0.0003 max mem: 29859 [22:14:14.996185] Epoch: [209] [160/850] eta: 0:10:35 lr: 0.002118 loss: 0.0200 (0.0216) loss_rec_all: 0.0562 (0.0578) loss_rec_sfr: 0.0602 (0.0804) loss_cl: -0.3673 (-0.3672) time: 0.8645 data: 0.0003 max mem: 29859 [22:14:32.235540] Epoch: [209] [180/850] eta: 0:10:12 lr: 0.002118 loss: 0.0225 (0.0217) loss_rec_all: 0.0586 (0.0579) loss_rec_sfr: 0.0837 (0.0806) loss_cl: -0.3675 (-0.3673) time: 0.8619 data: 0.0003 max mem: 29859 [22:14:49.530003] Epoch: [209] [200/850] eta: 0:09:51 lr: 0.002118 loss: 0.0210 (0.0217) loss_rec_all: 0.0572 (0.0578) loss_rec_sfr: 0.0872 (0.0818) loss_cl: -0.3679 (-0.3673) time: 0.8647 data: 0.0003 max mem: 29859 [22:15:06.795269] Epoch: [209] [220/850] eta: 0:09:30 lr: 0.002118 loss: 0.0205 (0.0216) loss_rec_all: 0.0567 (0.0578) loss_rec_sfr: 0.0801 (0.0823) loss_cl: -0.3673 (-0.3673) time: 0.8632 data: 0.0003 max mem: 29859 [22:15:24.070986] Epoch: [209] [240/850] eta: 0:09:10 lr: 0.002118 loss: 0.0194 (0.0215) loss_rec_all: 0.0558 (0.0576) loss_rec_sfr: 0.0559 (0.0817) loss_cl: -0.3673 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [22:15:41.341213] Epoch: [209] [260/850] eta: 0:08:50 lr: 0.002118 loss: 0.0203 (0.0214) loss_rec_all: 0.0562 (0.0576) loss_rec_sfr: 0.0941 (0.0824) loss_cl: -0.3669 (-0.3673) time: 0.8635 data: 0.0003 max mem: 29859 [22:15:58.607984] Epoch: [209] [280/850] eta: 0:08:30 lr: 0.002118 loss: 0.0206 (0.0214) loss_rec_all: 0.0566 (0.0575) loss_rec_sfr: 0.0614 (0.0822) loss_cl: -0.3670 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [22:16:15.843993] Epoch: [209] [300/850] eta: 0:08:11 lr: 0.002118 loss: 0.0196 (0.0213) loss_rec_all: 0.0559 (0.0575) loss_rec_sfr: 0.0584 (0.0809) loss_cl: -0.3673 (-0.3672) time: 0.8618 data: 0.0003 max mem: 29859 [22:16:33.128163] Epoch: [209] [320/850] eta: 0:07:52 lr: 0.002118 loss: 0.0221 (0.0215) loss_rec_all: 0.0583 (0.0576) loss_rec_sfr: 0.0684 (0.0807) loss_cl: -0.3673 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [22:16:50.359103] Epoch: [209] [340/850] eta: 0:07:34 lr: 0.002118 loss: 0.0223 (0.0215) loss_rec_all: 0.0587 (0.0577) loss_rec_sfr: 0.0623 (0.0804) loss_cl: -0.3676 (-0.3673) time: 0.8615 data: 0.0003 max mem: 29859 [22:17:07.675110] Epoch: [209] [360/850] eta: 0:07:15 lr: 0.002118 loss: 0.0224 (0.0216) loss_rec_all: 0.0587 (0.0578) loss_rec_sfr: 0.0893 (0.0811) loss_cl: -0.3677 (-0.3673) time: 0.8658 data: 0.0003 max mem: 29859 [22:17:24.959427] Epoch: [209] [380/850] eta: 0:06:57 lr: 0.002117 loss: 0.0226 (0.0217) loss_rec_all: 0.0589 (0.0579) loss_rec_sfr: 0.0755 (0.0812) loss_cl: -0.3668 (-0.3673) time: 0.8642 data: 0.0003 max mem: 29859 [22:17:42.275531] Epoch: [209] [400/850] eta: 0:06:38 lr: 0.002117 loss: 0.0216 (0.0218) loss_rec_all: 0.0576 (0.0579) loss_rec_sfr: 0.0722 (0.0810) loss_cl: -0.3670 (-0.3673) time: 0.8657 data: 0.0004 max mem: 29859 [22:17:59.548736] Epoch: [209] [420/850] eta: 0:06:20 lr: 0.002117 loss: 0.0228 (0.0219) loss_rec_all: 0.0587 (0.0580) loss_rec_sfr: 0.0738 (0.0809) loss_cl: -0.3666 (-0.3672) time: 0.8636 data: 0.0004 max mem: 29859 [22:18:16.858411] Epoch: [209] [440/850] eta: 0:06:02 lr: 0.002117 loss: 0.0238 (0.0220) loss_rec_all: 0.0597 (0.0581) loss_rec_sfr: 0.0844 (0.0812) loss_cl: -0.3671 (-0.3672) time: 0.8654 data: 0.0004 max mem: 29859 [22:18:34.159826] Epoch: [209] [460/850] eta: 0:05:44 lr: 0.002117 loss: 0.0248 (0.0222) loss_rec_all: 0.0606 (0.0583) loss_rec_sfr: 0.0964 (0.0819) loss_cl: -0.3671 (-0.3672) time: 0.8650 data: 0.0004 max mem: 29859 [22:18:51.465525] Epoch: [209] [480/850] eta: 0:05:26 lr: 0.002117 loss: 0.0222 (0.0222) loss_rec_all: 0.0584 (0.0583) loss_rec_sfr: 0.0635 (0.0819) loss_cl: -0.3674 (-0.3672) time: 0.8652 data: 0.0003 max mem: 29859 [22:19:08.701005] Epoch: [209] [500/850] eta: 0:05:08 lr: 0.002117 loss: 0.0213 (0.0222) loss_rec_all: 0.0576 (0.0584) loss_rec_sfr: 0.0603 (0.0817) loss_cl: -0.3674 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [22:19:25.998439] Epoch: [209] [520/850] eta: 0:04:50 lr: 0.002117 loss: 0.0203 (0.0222) loss_rec_all: 0.0566 (0.0583) loss_rec_sfr: 0.0629 (0.0814) loss_cl: -0.3674 (-0.3672) time: 0.8648 data: 0.0003 max mem: 29859 [22:19:43.283158] Epoch: [209] [540/850] eta: 0:04:33 lr: 0.002117 loss: 0.0202 (0.0221) loss_rec_all: 0.0566 (0.0583) loss_rec_sfr: 0.0647 (0.0814) loss_cl: -0.3677 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [22:20:00.635123] Epoch: [209] [560/850] eta: 0:04:15 lr: 0.002117 loss: 0.0210 (0.0221) loss_rec_all: 0.0572 (0.0583) loss_rec_sfr: 0.0804 (0.0814) loss_cl: -0.3674 (-0.3673) time: 0.8675 data: 0.0003 max mem: 29859 [22:20:19.666037] Epoch: [209] [580/850] eta: 0:03:58 lr: 0.002117 loss: 0.0200 (0.0221) loss_rec_all: 0.0563 (0.0582) loss_rec_sfr: 0.0652 (0.0812) loss_cl: -0.3673 (-0.3673) time: 0.9515 data: 0.0878 max mem: 29859 [22:20:38.972305] Epoch: [209] [600/850] eta: 0:03:41 lr: 0.002117 loss: 0.0199 (0.0220) loss_rec_all: 0.0560 (0.0582) loss_rec_sfr: 0.0614 (0.0812) loss_cl: -0.3674 (-0.3673) time: 0.9653 data: 0.0344 max mem: 29859 [22:20:56.782090] Epoch: [209] [620/850] eta: 0:03:23 lr: 0.002117 loss: 0.0202 (0.0220) loss_rec_all: 0.0564 (0.0582) loss_rec_sfr: 0.0839 (0.0813) loss_cl: -0.3676 (-0.3673) time: 0.8904 data: 0.0002 max mem: 29859 [22:21:16.068221] Epoch: [209] [640/850] eta: 0:03:06 lr: 0.002116 loss: 0.0196 (0.0219) loss_rec_all: 0.0559 (0.0581) loss_rec_sfr: 0.0814 (0.0813) loss_cl: -0.3670 (-0.3673) time: 0.9643 data: 0.0002 max mem: 29859 [22:21:33.306887] Epoch: [209] [660/850] eta: 0:02:48 lr: 0.002116 loss: 0.0191 (0.0219) loss_rec_all: 0.0555 (0.0580) loss_rec_sfr: 0.0812 (0.0811) loss_cl: -0.3673 (-0.3673) time: 0.8619 data: 0.0003 max mem: 29859 [22:21:51.464267] Epoch: [209] [680/850] eta: 0:02:30 lr: 0.002116 loss: 0.0188 (0.0218) loss_rec_all: 0.0549 (0.0580) loss_rec_sfr: 0.0623 (0.0810) loss_cl: -0.3667 (-0.3672) time: 0.9078 data: 0.0326 max mem: 29859 [22:22:13.226437] Epoch: [209] [700/850] eta: 0:02:14 lr: 0.002116 loss: 0.0200 (0.0218) loss_rec_all: 0.0563 (0.0579) loss_rec_sfr: 0.0630 (0.0810) loss_cl: -0.3669 (-0.3672) time: 1.0881 data: 0.1934 max mem: 29859 [22:22:32.536388] Epoch: [209] [720/850] eta: 0:01:56 lr: 0.002116 loss: 0.0217 (0.0218) loss_rec_all: 0.0579 (0.0580) loss_rec_sfr: 0.0851 (0.0813) loss_cl: -0.3676 (-0.3672) time: 0.9654 data: 0.1044 max mem: 29859 [22:22:51.463630] Epoch: [209] [740/850] eta: 0:01:38 lr: 0.002116 loss: 0.0238 (0.0219) loss_rec_all: 0.0598 (0.0580) loss_rec_sfr: 0.0858 (0.0815) loss_cl: -0.3680 (-0.3673) time: 0.9463 data: 0.0860 max mem: 29859 [22:23:08.703754] Epoch: [209] [760/850] eta: 0:01:20 lr: 0.002116 loss: 0.0233 (0.0219) loss_rec_all: 0.0595 (0.0581) loss_rec_sfr: 0.0822 (0.0815) loss_cl: -0.3676 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [22:23:26.289129] Epoch: [209] [780/850] eta: 0:01:02 lr: 0.002116 loss: 0.0219 (0.0219) loss_rec_all: 0.0579 (0.0581) loss_rec_sfr: 0.0814 (0.0817) loss_cl: -0.3680 (-0.3673) time: 0.8792 data: 0.0173 max mem: 29859 [22:23:43.593981] Epoch: [209] [800/850] eta: 0:00:44 lr: 0.002116 loss: 0.0231 (0.0219) loss_rec_all: 0.0591 (0.0581) loss_rec_sfr: 0.0838 (0.0818) loss_cl: -0.3672 (-0.3673) time: 0.8652 data: 0.0003 max mem: 29859 [22:24:00.837497] Epoch: [209] [820/850] eta: 0:00:26 lr: 0.002116 loss: 0.0216 (0.0220) loss_rec_all: 0.0576 (0.0581) loss_rec_sfr: 0.0859 (0.0819) loss_cl: -0.3665 (-0.3673) time: 0.8621 data: 0.0003 max mem: 29859 [22:24:18.147567] Epoch: [209] [840/850] eta: 0:00:08 lr: 0.002116 loss: 0.0209 (0.0220) loss_rec_all: 0.0571 (0.0581) loss_rec_sfr: 0.0682 (0.0818) loss_cl: -0.3665 (-0.3672) time: 0.8654 data: 0.0008 max mem: 29859 [22:24:25.938796] Epoch: [209] [849/850] eta: 0:00:00 lr: 0.002116 loss: 0.0203 (0.0220) loss_rec_all: 0.0564 (0.0581) loss_rec_sfr: 0.0675 (0.0816) loss_cl: -0.3667 (-0.3672) time: 0.8657 data: 0.0007 max mem: 29859 [22:24:26.098502] Epoch: [209] Total time: 0:12:39 (0.8934 s / it) [22:24:26.101296] Averaged stats: lr: 0.002116 loss: 0.0203 (0.0219) loss_rec_all: 0.0564 (0.0581) loss_rec_sfr: 0.0675 (0.0822) loss_cl: -0.3667 (-0.3673) [22:24:26.116987] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [22:24:31.951267] Epoch: [210] [ 0/850] eta: 1:22:38 lr: 0.002116 loss: 0.0229 (0.0229) loss_rec_all: 0.0588 (0.0588) loss_rec_sfr: 0.1194 (0.1194) loss_cl: -0.3672 (-0.3672) time: 5.8335 data: 4.9798 max mem: 29859 [22:24:49.735005] Epoch: [210] [ 20/850] eta: 0:15:33 lr: 0.002116 loss: 0.0209 (0.0211) loss_rec_all: 0.0572 (0.0573) loss_rec_sfr: 0.0686 (0.0845) loss_cl: -0.3672 (-0.3673) time: 0.8891 data: 0.0003 max mem: 29859 [22:25:07.021850] Epoch: [210] [ 40/850] eta: 0:13:28 lr: 0.002116 loss: 0.0227 (0.0219) loss_rec_all: 0.0585 (0.0580) loss_rec_sfr: 0.0890 (0.0875) loss_cl: -0.3676 (-0.3675) time: 0.8643 data: 0.0003 max mem: 29859 [22:25:24.301569] Epoch: [210] [ 60/850] eta: 0:12:33 lr: 0.002115 loss: 0.0211 (0.0219) loss_rec_all: 0.0575 (0.0580) loss_rec_sfr: 0.0661 (0.0855) loss_cl: -0.3682 (-0.3677) time: 0.8639 data: 0.0003 max mem: 29859 [22:25:41.663559] Epoch: [210] [ 80/850] eta: 0:11:58 lr: 0.002115 loss: 0.0220 (0.0220) loss_rec_all: 0.0579 (0.0581) loss_rec_sfr: 0.0851 (0.0859) loss_cl: -0.3678 (-0.3677) time: 0.8680 data: 0.0004 max mem: 29859 [22:25:58.938247] Epoch: [210] [100/850] eta: 0:11:29 lr: 0.002115 loss: 0.0231 (0.0223) loss_rec_all: 0.0594 (0.0585) loss_rec_sfr: 0.0844 (0.0855) loss_cl: -0.3672 (-0.3676) time: 0.8637 data: 0.0002 max mem: 29859 [22:26:16.266574] Epoch: [210] [120/850] eta: 0:11:04 lr: 0.002115 loss: 0.0211 (0.0221) loss_rec_all: 0.0573 (0.0583) loss_rec_sfr: 0.0583 (0.0842) loss_cl: -0.3670 (-0.3675) time: 0.8663 data: 0.0003 max mem: 29859 [22:26:33.563676] Epoch: [210] [140/850] eta: 0:10:41 lr: 0.002115 loss: 0.0197 (0.0220) loss_rec_all: 0.0559 (0.0582) loss_rec_sfr: 0.0618 (0.0833) loss_cl: -0.3674 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [22:26:50.886869] Epoch: [210] [160/850] eta: 0:10:20 lr: 0.002115 loss: 0.0194 (0.0219) loss_rec_all: 0.0556 (0.0581) loss_rec_sfr: 0.0666 (0.0832) loss_cl: -0.3679 (-0.3675) time: 0.8661 data: 0.0003 max mem: 29859 [22:27:08.165932] Epoch: [210] [180/850] eta: 0:09:59 lr: 0.002115 loss: 0.0209 (0.0218) loss_rec_all: 0.0569 (0.0580) loss_rec_sfr: 0.0686 (0.0827) loss_cl: -0.3677 (-0.3675) time: 0.8639 data: 0.0003 max mem: 29859 [22:27:25.465655] Epoch: [210] [200/850] eta: 0:09:39 lr: 0.002115 loss: 0.0200 (0.0218) loss_rec_all: 0.0563 (0.0580) loss_rec_sfr: 0.0576 (0.0819) loss_cl: -0.3676 (-0.3675) time: 0.8649 data: 0.0003 max mem: 29859 [22:27:42.740504] Epoch: [210] [220/850] eta: 0:09:20 lr: 0.002115 loss: 0.0208 (0.0217) loss_rec_all: 0.0570 (0.0579) loss_rec_sfr: 0.0666 (0.0814) loss_cl: -0.3675 (-0.3675) time: 0.8637 data: 0.0002 max mem: 29859 [22:28:00.025741] Epoch: [210] [240/850] eta: 0:09:01 lr: 0.002115 loss: 0.0201 (0.0216) loss_rec_all: 0.0562 (0.0578) loss_rec_sfr: 0.0787 (0.0812) loss_cl: -0.3669 (-0.3674) time: 0.8642 data: 0.0002 max mem: 29859 [22:28:17.287171] Epoch: [210] [260/850] eta: 0:08:42 lr: 0.002115 loss: 0.0197 (0.0215) loss_rec_all: 0.0560 (0.0577) loss_rec_sfr: 0.0671 (0.0811) loss_cl: -0.3666 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [22:28:34.579659] Epoch: [210] [280/850] eta: 0:08:23 lr: 0.002115 loss: 0.0209 (0.0216) loss_rec_all: 0.0571 (0.0577) loss_rec_sfr: 0.0646 (0.0808) loss_cl: -0.3665 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [22:28:51.845974] Epoch: [210] [300/850] eta: 0:08:05 lr: 0.002115 loss: 0.0232 (0.0218) loss_rec_all: 0.0594 (0.0580) loss_rec_sfr: 0.0654 (0.0812) loss_cl: -0.3675 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [22:29:09.148358] Epoch: [210] [320/850] eta: 0:07:47 lr: 0.002114 loss: 0.0248 (0.0221) loss_rec_all: 0.0610 (0.0582) loss_rec_sfr: 0.0711 (0.0814) loss_cl: -0.3677 (-0.3674) time: 0.8651 data: 0.0002 max mem: 29859 [22:29:26.396804] Epoch: [210] [340/850] eta: 0:07:29 lr: 0.002114 loss: 0.0253 (0.0224) loss_rec_all: 0.0615 (0.0586) loss_rec_sfr: 0.0916 (0.0815) loss_cl: -0.3674 (-0.3674) time: 0.8624 data: 0.0003 max mem: 29859 [22:29:43.696814] Epoch: [210] [360/850] eta: 0:07:11 lr: 0.002114 loss: 0.0231 (0.0225) loss_rec_all: 0.0592 (0.0587) loss_rec_sfr: 0.0895 (0.0817) loss_cl: -0.3673 (-0.3673) time: 0.8650 data: 0.0003 max mem: 29859 [22:30:00.956311] Epoch: [210] [380/850] eta: 0:06:53 lr: 0.002114 loss: 0.0243 (0.0226) loss_rec_all: 0.0602 (0.0588) loss_rec_sfr: 0.0912 (0.0823) loss_cl: -0.3668 (-0.3673) time: 0.8629 data: 0.0003 max mem: 29859 [22:30:18.235060] Epoch: [210] [400/850] eta: 0:06:35 lr: 0.002114 loss: 0.0210 (0.0226) loss_rec_all: 0.0573 (0.0588) loss_rec_sfr: 0.0651 (0.0823) loss_cl: -0.3667 (-0.3673) time: 0.8639 data: 0.0003 max mem: 29859 [22:30:35.502535] Epoch: [210] [420/850] eta: 0:06:17 lr: 0.002114 loss: 0.0215 (0.0226) loss_rec_all: 0.0579 (0.0588) loss_rec_sfr: 0.0625 (0.0820) loss_cl: -0.3674 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [22:30:52.793645] Epoch: [210] [440/850] eta: 0:05:59 lr: 0.002114 loss: 0.0211 (0.0226) loss_rec_all: 0.0571 (0.0587) loss_rec_sfr: 0.0860 (0.0822) loss_cl: -0.3679 (-0.3673) time: 0.8645 data: 0.0003 max mem: 29859 [22:31:10.023173] Epoch: [210] [460/850] eta: 0:05:41 lr: 0.002114 loss: 0.0200 (0.0225) loss_rec_all: 0.0564 (0.0587) loss_rec_sfr: 0.0632 (0.0817) loss_cl: -0.3680 (-0.3674) time: 0.8614 data: 0.0003 max mem: 29859 [22:31:27.312304] Epoch: [210] [480/850] eta: 0:05:23 lr: 0.002114 loss: 0.0205 (0.0225) loss_rec_all: 0.0568 (0.0586) loss_rec_sfr: 0.0896 (0.0821) loss_cl: -0.3676 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [22:31:44.542437] Epoch: [210] [500/850] eta: 0:05:06 lr: 0.002114 loss: 0.0211 (0.0224) loss_rec_all: 0.0570 (0.0586) loss_rec_sfr: 0.0823 (0.0821) loss_cl: -0.3674 (-0.3674) time: 0.8615 data: 0.0002 max mem: 29859 [22:32:01.825790] Epoch: [210] [520/850] eta: 0:04:48 lr: 0.002114 loss: 0.0210 (0.0224) loss_rec_all: 0.0574 (0.0586) loss_rec_sfr: 0.0654 (0.0824) loss_cl: -0.3672 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [22:32:19.071532] Epoch: [210] [540/850] eta: 0:04:30 lr: 0.002114 loss: 0.0208 (0.0224) loss_rec_all: 0.0572 (0.0585) loss_rec_sfr: 0.0769 (0.0823) loss_cl: -0.3677 (-0.3674) time: 0.8622 data: 0.0003 max mem: 29859 [22:32:36.335205] Epoch: [210] [560/850] eta: 0:04:13 lr: 0.002114 loss: 0.0193 (0.0223) loss_rec_all: 0.0555 (0.0584) loss_rec_sfr: 0.0580 (0.0818) loss_cl: -0.3674 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [22:32:53.607596] Epoch: [210] [580/850] eta: 0:03:55 lr: 0.002114 loss: 0.0203 (0.0223) loss_rec_all: 0.0562 (0.0584) loss_rec_sfr: 0.0858 (0.0818) loss_cl: -0.3670 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [22:33:10.958440] Epoch: [210] [600/850] eta: 0:03:38 lr: 0.002113 loss: 0.0210 (0.0222) loss_rec_all: 0.0567 (0.0584) loss_rec_sfr: 0.0824 (0.0819) loss_cl: -0.3669 (-0.3673) time: 0.8675 data: 0.0006 max mem: 29859 [22:33:28.254277] Epoch: [210] [620/850] eta: 0:03:20 lr: 0.002113 loss: 0.0217 (0.0222) loss_rec_all: 0.0576 (0.0584) loss_rec_sfr: 0.0836 (0.0821) loss_cl: -0.3669 (-0.3673) time: 0.8647 data: 0.0003 max mem: 29859 [22:33:45.603645] Epoch: [210] [640/850] eta: 0:03:03 lr: 0.002113 loss: 0.0231 (0.0223) loss_rec_all: 0.0590 (0.0584) loss_rec_sfr: 0.0876 (0.0826) loss_cl: -0.3671 (-0.3673) time: 0.8674 data: 0.0003 max mem: 29859 [22:34:02.844838] Epoch: [210] [660/850] eta: 0:02:45 lr: 0.002113 loss: 0.0208 (0.0222) loss_rec_all: 0.0567 (0.0584) loss_rec_sfr: 0.0670 (0.0825) loss_cl: -0.3673 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [22:34:20.147515] Epoch: [210] [680/850] eta: 0:02:28 lr: 0.002113 loss: 0.0211 (0.0222) loss_rec_all: 0.0571 (0.0584) loss_rec_sfr: 0.0881 (0.0827) loss_cl: -0.3678 (-0.3673) time: 0.8651 data: 0.0003 max mem: 29859 [22:34:37.477431] Epoch: [210] [700/850] eta: 0:02:10 lr: 0.002113 loss: 0.0199 (0.0222) loss_rec_all: 0.0563 (0.0584) loss_rec_sfr: 0.0696 (0.0825) loss_cl: -0.3679 (-0.3673) time: 0.8664 data: 0.0012 max mem: 29859 [22:34:54.762910] Epoch: [210] [720/850] eta: 0:01:53 lr: 0.002113 loss: 0.0213 (0.0223) loss_rec_all: 0.0576 (0.0584) loss_rec_sfr: 0.0673 (0.0824) loss_cl: -0.3676 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [22:35:12.029928] Epoch: [210] [740/850] eta: 0:01:35 lr: 0.002113 loss: 0.0244 (0.0223) loss_rec_all: 0.0606 (0.0585) loss_rec_sfr: 0.0889 (0.0826) loss_cl: -0.3669 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [22:35:29.341696] Epoch: [210] [760/850] eta: 0:01:18 lr: 0.002113 loss: 0.0231 (0.0224) loss_rec_all: 0.0591 (0.0585) loss_rec_sfr: 0.0688 (0.0826) loss_cl: -0.3674 (-0.3673) time: 0.8655 data: 0.0003 max mem: 29859 [22:35:46.586055] Epoch: [210] [780/850] eta: 0:01:00 lr: 0.002113 loss: 0.0225 (0.0224) loss_rec_all: 0.0589 (0.0586) loss_rec_sfr: 0.0907 (0.0828) loss_cl: -0.3677 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [22:36:03.887265] Epoch: [210] [800/850] eta: 0:00:43 lr: 0.002113 loss: 0.0223 (0.0224) loss_rec_all: 0.0584 (0.0586) loss_rec_sfr: 0.0987 (0.0831) loss_cl: -0.3680 (-0.3674) time: 0.8650 data: 0.0002 max mem: 29859 [22:36:21.129729] Epoch: [210] [820/850] eta: 0:00:26 lr: 0.002113 loss: 0.0224 (0.0224) loss_rec_all: 0.0586 (0.0586) loss_rec_sfr: 0.0827 (0.0830) loss_cl: -0.3674 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [22:36:38.431815] Epoch: [210] [840/850] eta: 0:00:08 lr: 0.002113 loss: 0.0217 (0.0224) loss_rec_all: 0.0577 (0.0586) loss_rec_sfr: 0.0849 (0.0830) loss_cl: -0.3669 (-0.3673) time: 0.8651 data: 0.0005 max mem: 29859 [22:36:46.192760] Epoch: [210] [849/850] eta: 0:00:00 lr: 0.002112 loss: 0.0207 (0.0224) loss_rec_all: 0.0569 (0.0586) loss_rec_sfr: 0.0854 (0.0831) loss_cl: -0.3670 (-0.3673) time: 0.8649 data: 0.0005 max mem: 29859 [22:36:46.355559] Epoch: [210] Total time: 0:12:20 (0.8709 s / it) [22:36:46.363215] Averaged stats: lr: 0.002112 loss: 0.0207 (0.0223) loss_rec_all: 0.0569 (0.0585) loss_rec_sfr: 0.0854 (0.0830) loss_cl: -0.3670 (-0.3673) [22:36:46.382853] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [22:36:53.238670] Epoch: [211] [ 0/850] eta: 1:37:06 lr: 0.002112 loss: 0.0196 (0.0196) loss_rec_all: 0.0559 (0.0559) loss_rec_sfr: 0.0562 (0.0562) loss_cl: -0.3668 (-0.3668) time: 6.8549 data: 5.9994 max mem: 29859 [22:37:10.586601] Epoch: [211] [ 20/850] eta: 0:15:56 lr: 0.002112 loss: 0.0226 (0.0225) loss_rec_all: 0.0583 (0.0586) loss_rec_sfr: 0.0863 (0.0877) loss_cl: -0.3667 (-0.3667) time: 0.8673 data: 0.0003 max mem: 29859 [22:37:27.883024] Epoch: [211] [ 40/850] eta: 0:13:39 lr: 0.002112 loss: 0.0205 (0.0216) loss_rec_all: 0.0565 (0.0577) loss_rec_sfr: 0.0927 (0.0888) loss_cl: -0.3675 (-0.3671) time: 0.8648 data: 0.0003 max mem: 29859 [22:37:45.123556] Epoch: [211] [ 60/850] eta: 0:12:40 lr: 0.002112 loss: 0.0211 (0.0215) loss_rec_all: 0.0571 (0.0576) loss_rec_sfr: 0.0836 (0.0869) loss_cl: -0.3677 (-0.3673) time: 0.8620 data: 0.0003 max mem: 29859 [22:38:02.448335] Epoch: [211] [ 80/850] eta: 0:12:03 lr: 0.002112 loss: 0.0208 (0.0213) loss_rec_all: 0.0569 (0.0575) loss_rec_sfr: 0.0815 (0.0852) loss_cl: -0.3679 (-0.3674) time: 0.8662 data: 0.0003 max mem: 29859 [22:38:19.697328] Epoch: [211] [100/850] eta: 0:11:32 lr: 0.002112 loss: 0.0216 (0.0215) loss_rec_all: 0.0576 (0.0576) loss_rec_sfr: 0.0877 (0.0863) loss_cl: -0.3676 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [22:38:37.002838] Epoch: [211] [120/850] eta: 0:11:07 lr: 0.002112 loss: 0.0210 (0.0214) loss_rec_all: 0.0573 (0.0576) loss_rec_sfr: 0.0823 (0.0853) loss_cl: -0.3673 (-0.3674) time: 0.8652 data: 0.0002 max mem: 29859 [22:38:54.238490] Epoch: [211] [140/850] eta: 0:10:43 lr: 0.002112 loss: 0.0207 (0.0216) loss_rec_all: 0.0569 (0.0577) loss_rec_sfr: 0.0656 (0.0842) loss_cl: -0.3671 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [22:39:11.529643] Epoch: [211] [160/850] eta: 0:10:22 lr: 0.002112 loss: 0.0207 (0.0216) loss_rec_all: 0.0569 (0.0578) loss_rec_sfr: 0.0812 (0.0844) loss_cl: -0.3667 (-0.3673) time: 0.8645 data: 0.0003 max mem: 29859 [22:39:28.763173] Epoch: [211] [180/850] eta: 0:10:01 lr: 0.002112 loss: 0.0211 (0.0217) loss_rec_all: 0.0570 (0.0578) loss_rec_sfr: 0.0891 (0.0850) loss_cl: -0.3670 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [22:39:46.053841] Epoch: [211] [200/850] eta: 0:09:40 lr: 0.002112 loss: 0.0205 (0.0217) loss_rec_all: 0.0566 (0.0578) loss_rec_sfr: 0.0640 (0.0841) loss_cl: -0.3669 (-0.3672) time: 0.8645 data: 0.0002 max mem: 29859 [22:40:03.288051] Epoch: [211] [220/850] eta: 0:09:21 lr: 0.002112 loss: 0.0200 (0.0216) loss_rec_all: 0.0563 (0.0577) loss_rec_sfr: 0.0660 (0.0829) loss_cl: -0.3674 (-0.3672) time: 0.8617 data: 0.0003 max mem: 29859 [22:40:20.553988] Epoch: [211] [240/850] eta: 0:09:02 lr: 0.002112 loss: 0.0225 (0.0216) loss_rec_all: 0.0586 (0.0578) loss_rec_sfr: 0.0825 (0.0833) loss_cl: -0.3673 (-0.3672) time: 0.8632 data: 0.0003 max mem: 29859 [22:40:37.788835] Epoch: [211] [260/850] eta: 0:08:43 lr: 0.002112 loss: 0.0216 (0.0217) loss_rec_all: 0.0582 (0.0579) loss_rec_sfr: 0.0751 (0.0836) loss_cl: -0.3682 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [22:40:55.147308] Epoch: [211] [280/850] eta: 0:08:24 lr: 0.002111 loss: 0.0221 (0.0218) loss_rec_all: 0.0584 (0.0579) loss_rec_sfr: 0.0666 (0.0835) loss_cl: -0.3682 (-0.3674) time: 0.8678 data: 0.0004 max mem: 29859 [22:41:12.460348] Epoch: [211] [300/850] eta: 0:08:06 lr: 0.002111 loss: 0.0210 (0.0218) loss_rec_all: 0.0573 (0.0579) loss_rec_sfr: 0.0679 (0.0831) loss_cl: -0.3681 (-0.3674) time: 0.8656 data: 0.0004 max mem: 29859 [22:41:29.829581] Epoch: [211] [320/850] eta: 0:07:47 lr: 0.002111 loss: 0.0221 (0.0218) loss_rec_all: 0.0580 (0.0580) loss_rec_sfr: 0.0818 (0.0834) loss_cl: -0.3672 (-0.3674) time: 0.8684 data: 0.0004 max mem: 29859 [22:41:47.066098] Epoch: [211] [340/850] eta: 0:07:29 lr: 0.002111 loss: 0.0207 (0.0218) loss_rec_all: 0.0569 (0.0579) loss_rec_sfr: 0.0713 (0.0836) loss_cl: -0.3668 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [22:42:04.366926] Epoch: [211] [360/850] eta: 0:07:11 lr: 0.002111 loss: 0.0203 (0.0217) loss_rec_all: 0.0565 (0.0579) loss_rec_sfr: 0.0570 (0.0831) loss_cl: -0.3668 (-0.3673) time: 0.8650 data: 0.0002 max mem: 29859 [22:42:21.680266] Epoch: [211] [380/850] eta: 0:06:53 lr: 0.002111 loss: 0.0221 (0.0218) loss_rec_all: 0.0582 (0.0579) loss_rec_sfr: 0.0704 (0.0829) loss_cl: -0.3660 (-0.3672) time: 0.8656 data: 0.0010 max mem: 29859 [22:42:38.960270] Epoch: [211] [400/850] eta: 0:06:35 lr: 0.002111 loss: 0.0207 (0.0217) loss_rec_all: 0.0570 (0.0579) loss_rec_sfr: 0.0659 (0.0830) loss_cl: -0.3673 (-0.3672) time: 0.8640 data: 0.0002 max mem: 29859 [22:42:56.202500] Epoch: [211] [420/850] eta: 0:06:17 lr: 0.002111 loss: 0.0201 (0.0217) loss_rec_all: 0.0564 (0.0578) loss_rec_sfr: 0.0642 (0.0828) loss_cl: -0.3674 (-0.3672) time: 0.8621 data: 0.0003 max mem: 29859 [22:43:13.581059] Epoch: [211] [440/850] eta: 0:05:59 lr: 0.002111 loss: 0.0204 (0.0217) loss_rec_all: 0.0565 (0.0578) loss_rec_sfr: 0.0684 (0.0827) loss_cl: -0.3678 (-0.3672) time: 0.8688 data: 0.0004 max mem: 29859 [22:43:30.839034] Epoch: [211] [460/850] eta: 0:05:42 lr: 0.002111 loss: 0.0207 (0.0217) loss_rec_all: 0.0567 (0.0578) loss_rec_sfr: 0.0851 (0.0830) loss_cl: -0.3677 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [22:43:48.144691] Epoch: [211] [480/850] eta: 0:05:24 lr: 0.002111 loss: 0.0206 (0.0217) loss_rec_all: 0.0566 (0.0578) loss_rec_sfr: 0.0639 (0.0829) loss_cl: -0.3674 (-0.3673) time: 0.8652 data: 0.0002 max mem: 29859 [22:44:05.408546] Epoch: [211] [500/850] eta: 0:05:06 lr: 0.002111 loss: 0.0195 (0.0216) loss_rec_all: 0.0557 (0.0577) loss_rec_sfr: 0.0810 (0.0829) loss_cl: -0.3667 (-0.3672) time: 0.8631 data: 0.0003 max mem: 29859 [22:44:22.685445] Epoch: [211] [520/850] eta: 0:04:49 lr: 0.002111 loss: 0.0186 (0.0215) loss_rec_all: 0.0549 (0.0577) loss_rec_sfr: 0.0602 (0.0826) loss_cl: -0.3664 (-0.3672) time: 0.8638 data: 0.0003 max mem: 29859 [22:44:39.964286] Epoch: [211] [540/850] eta: 0:04:31 lr: 0.002110 loss: 0.0198 (0.0215) loss_rec_all: 0.0560 (0.0577) loss_rec_sfr: 0.0635 (0.0825) loss_cl: -0.3665 (-0.3672) time: 0.8638 data: 0.0003 max mem: 29859 [22:44:57.256529] Epoch: [211] [560/850] eta: 0:04:13 lr: 0.002110 loss: 0.0216 (0.0215) loss_rec_all: 0.0576 (0.0577) loss_rec_sfr: 0.0996 (0.0830) loss_cl: -0.3674 (-0.3672) time: 0.8646 data: 0.0003 max mem: 29859 [22:45:14.503922] Epoch: [211] [580/850] eta: 0:03:56 lr: 0.002110 loss: 0.0224 (0.0216) loss_rec_all: 0.0587 (0.0577) loss_rec_sfr: 0.0684 (0.0828) loss_cl: -0.3684 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [22:45:31.821706] Epoch: [211] [600/850] eta: 0:03:38 lr: 0.002110 loss: 0.0242 (0.0217) loss_rec_all: 0.0604 (0.0578) loss_rec_sfr: 0.0854 (0.0828) loss_cl: -0.3684 (-0.3673) time: 0.8658 data: 0.0003 max mem: 29859 [22:45:49.051249] Epoch: [211] [620/850] eta: 0:03:20 lr: 0.002110 loss: 0.0224 (0.0217) loss_rec_all: 0.0587 (0.0579) loss_rec_sfr: 0.0693 (0.0828) loss_cl: -0.3678 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [22:46:06.376174] Epoch: [211] [640/850] eta: 0:03:03 lr: 0.002110 loss: 0.0225 (0.0218) loss_rec_all: 0.0588 (0.0579) loss_rec_sfr: 0.0606 (0.0824) loss_cl: -0.3675 (-0.3673) time: 0.8661 data: 0.0003 max mem: 29859 [22:46:23.669250] Epoch: [211] [660/850] eta: 0:02:45 lr: 0.002110 loss: 0.0219 (0.0218) loss_rec_all: 0.0577 (0.0579) loss_rec_sfr: 0.0875 (0.0826) loss_cl: -0.3678 (-0.3673) time: 0.8646 data: 0.0003 max mem: 29859 [22:46:40.940406] Epoch: [211] [680/850] eta: 0:02:28 lr: 0.002110 loss: 0.0218 (0.0218) loss_rec_all: 0.0577 (0.0579) loss_rec_sfr: 0.0864 (0.0828) loss_cl: -0.3671 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [22:46:58.182488] Epoch: [211] [700/850] eta: 0:02:10 lr: 0.002110 loss: 0.0200 (0.0218) loss_rec_all: 0.0563 (0.0579) loss_rec_sfr: 0.0571 (0.0824) loss_cl: -0.3672 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [22:47:15.560544] Epoch: [211] [720/850] eta: 0:01:53 lr: 0.002110 loss: 0.0202 (0.0217) loss_rec_all: 0.0564 (0.0579) loss_rec_sfr: 0.0610 (0.0822) loss_cl: -0.3668 (-0.3673) time: 0.8688 data: 0.0004 max mem: 29859 [22:47:32.823493] Epoch: [211] [740/850] eta: 0:01:35 lr: 0.002110 loss: 0.0195 (0.0217) loss_rec_all: 0.0555 (0.0578) loss_rec_sfr: 0.0566 (0.0820) loss_cl: -0.3668 (-0.3673) time: 0.8631 data: 0.0003 max mem: 29859 [22:47:50.133701] Epoch: [211] [760/850] eta: 0:01:18 lr: 0.002110 loss: 0.0207 (0.0217) loss_rec_all: 0.0568 (0.0578) loss_rec_sfr: 0.0661 (0.0820) loss_cl: -0.3665 (-0.3672) time: 0.8654 data: 0.0005 max mem: 29859 [22:48:07.461903] Epoch: [211] [780/850] eta: 0:01:01 lr: 0.002110 loss: 0.0195 (0.0216) loss_rec_all: 0.0558 (0.0578) loss_rec_sfr: 0.0596 (0.0818) loss_cl: -0.3668 (-0.3672) time: 0.8663 data: 0.0006 max mem: 29859 [22:48:24.781931] Epoch: [211] [800/850] eta: 0:00:43 lr: 0.002109 loss: 0.0202 (0.0216) loss_rec_all: 0.0562 (0.0578) loss_rec_sfr: 0.0996 (0.0821) loss_cl: -0.3673 (-0.3672) time: 0.8659 data: 0.0003 max mem: 29859 [22:48:42.042890] Epoch: [211] [820/850] eta: 0:00:26 lr: 0.002109 loss: 0.0192 (0.0216) loss_rec_all: 0.0556 (0.0577) loss_rec_sfr: 0.0624 (0.0819) loss_cl: -0.3674 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [22:48:59.355991] Epoch: [211] [840/850] eta: 0:00:08 lr: 0.002109 loss: 0.0204 (0.0216) loss_rec_all: 0.0563 (0.0577) loss_rec_sfr: 0.0843 (0.0820) loss_cl: -0.3673 (-0.3672) time: 0.8656 data: 0.0005 max mem: 29859 [22:49:07.164891] Epoch: [211] [849/850] eta: 0:00:00 lr: 0.002109 loss: 0.0195 (0.0215) loss_rec_all: 0.0558 (0.0577) loss_rec_sfr: 0.0825 (0.0820) loss_cl: -0.3674 (-0.3672) time: 0.8674 data: 0.0005 max mem: 29859 [22:49:07.307513] Epoch: [211] Total time: 0:12:20 (0.8717 s / it) [22:49:07.317696] Averaged stats: lr: 0.002109 loss: 0.0195 (0.0215) loss_rec_all: 0.0558 (0.0577) loss_rec_sfr: 0.0825 (0.0817) loss_cl: -0.3674 (-0.3672) [22:49:07.336451] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [22:49:14.488793] Epoch: [212] [ 0/850] eta: 1:41:18 lr: 0.002109 loss: 0.0194 (0.0194) loss_rec_all: 0.0558 (0.0558) loss_rec_sfr: 0.0577 (0.0577) loss_cl: -0.3678 (-0.3678) time: 7.1513 data: 5.4995 max mem: 29859 [22:49:31.648634] Epoch: [212] [ 20/850] eta: 0:16:00 lr: 0.002109 loss: 0.0195 (0.0196) loss_rec_all: 0.0557 (0.0558) loss_rec_sfr: 0.0601 (0.0757) loss_cl: -0.3676 (-0.3676) time: 0.8579 data: 0.0002 max mem: 29859 [22:49:48.918180] Epoch: [212] [ 40/850] eta: 0:13:41 lr: 0.002109 loss: 0.0209 (0.0206) loss_rec_all: 0.0571 (0.0568) loss_rec_sfr: 0.0697 (0.0800) loss_cl: -0.3676 (-0.3677) time: 0.8634 data: 0.0002 max mem: 29859 [22:50:06.215362] Epoch: [212] [ 60/850] eta: 0:12:42 lr: 0.002109 loss: 0.0203 (0.0210) loss_rec_all: 0.0565 (0.0572) loss_rec_sfr: 0.0683 (0.0812) loss_cl: -0.3673 (-0.3676) time: 0.8648 data: 0.0004 max mem: 29859 [22:50:23.524713] Epoch: [212] [ 80/850] eta: 0:12:04 lr: 0.002109 loss: 0.0213 (0.0214) loss_rec_all: 0.0574 (0.0575) loss_rec_sfr: 0.0840 (0.0833) loss_cl: -0.3671 (-0.3674) time: 0.8654 data: 0.0003 max mem: 29859 [22:50:40.747550] Epoch: [212] [100/850] eta: 0:11:33 lr: 0.002109 loss: 0.0231 (0.0219) loss_rec_all: 0.0593 (0.0580) loss_rec_sfr: 0.0927 (0.0852) loss_cl: -0.3668 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [22:50:58.057723] Epoch: [212] [120/850] eta: 0:11:07 lr: 0.002109 loss: 0.0211 (0.0218) loss_rec_all: 0.0573 (0.0580) loss_rec_sfr: 0.0603 (0.0843) loss_cl: -0.3675 (-0.3673) time: 0.8655 data: 0.0003 max mem: 29859 [22:51:15.283064] Epoch: [212] [140/850] eta: 0:10:44 lr: 0.002109 loss: 0.0216 (0.0219) loss_rec_all: 0.0577 (0.0580) loss_rec_sfr: 0.0843 (0.0841) loss_cl: -0.3679 (-0.3674) time: 0.8612 data: 0.0002 max mem: 29859 [22:51:32.576395] Epoch: [212] [160/850] eta: 0:10:22 lr: 0.002109 loss: 0.0213 (0.0220) loss_rec_all: 0.0575 (0.0581) loss_rec_sfr: 0.0649 (0.0840) loss_cl: -0.3679 (-0.3675) time: 0.8646 data: 0.0002 max mem: 29859 [22:51:49.800645] Epoch: [212] [180/850] eta: 0:10:01 lr: 0.002109 loss: 0.0224 (0.0220) loss_rec_all: 0.0584 (0.0582) loss_rec_sfr: 0.0862 (0.0844) loss_cl: -0.3677 (-0.3675) time: 0.8611 data: 0.0002 max mem: 29859 [22:52:07.080594] Epoch: [212] [200/850] eta: 0:09:41 lr: 0.002108 loss: 0.0216 (0.0221) loss_rec_all: 0.0577 (0.0583) loss_rec_sfr: 0.0871 (0.0846) loss_cl: -0.3671 (-0.3674) time: 0.8639 data: 0.0003 max mem: 29859 [22:52:24.309861] Epoch: [212] [220/850] eta: 0:09:21 lr: 0.002108 loss: 0.0197 (0.0219) loss_rec_all: 0.0559 (0.0581) loss_rec_sfr: 0.0669 (0.0842) loss_cl: -0.3669 (-0.3674) time: 0.8614 data: 0.0002 max mem: 29859 [22:52:41.597386] Epoch: [212] [240/850] eta: 0:09:02 lr: 0.002108 loss: 0.0209 (0.0219) loss_rec_all: 0.0571 (0.0580) loss_rec_sfr: 0.0805 (0.0839) loss_cl: -0.3667 (-0.3673) time: 0.8643 data: 0.0003 max mem: 29859 [22:52:58.823699] Epoch: [212] [260/850] eta: 0:08:43 lr: 0.002108 loss: 0.0201 (0.0217) loss_rec_all: 0.0561 (0.0579) loss_rec_sfr: 0.0808 (0.0842) loss_cl: -0.3673 (-0.3673) time: 0.8612 data: 0.0003 max mem: 29859 [22:53:16.131508] Epoch: [212] [280/850] eta: 0:08:24 lr: 0.002108 loss: 0.0188 (0.0216) loss_rec_all: 0.0550 (0.0578) loss_rec_sfr: 0.0561 (0.0833) loss_cl: -0.3673 (-0.3673) time: 0.8653 data: 0.0008 max mem: 29859 [22:53:33.372975] Epoch: [212] [300/850] eta: 0:08:06 lr: 0.002108 loss: 0.0207 (0.0216) loss_rec_all: 0.0567 (0.0578) loss_rec_sfr: 0.0983 (0.0842) loss_cl: -0.3669 (-0.3673) time: 0.8620 data: 0.0009 max mem: 29859 [22:53:50.664402] Epoch: [212] [320/850] eta: 0:07:47 lr: 0.002108 loss: 0.0196 (0.0215) loss_rec_all: 0.0559 (0.0577) loss_rec_sfr: 0.0581 (0.0839) loss_cl: -0.3670 (-0.3673) time: 0.8645 data: 0.0003 max mem: 29859 [22:54:07.880083] Epoch: [212] [340/850] eta: 0:07:29 lr: 0.002108 loss: 0.0209 (0.0216) loss_rec_all: 0.0572 (0.0577) loss_rec_sfr: 0.0840 (0.0840) loss_cl: -0.3676 (-0.3673) time: 0.8607 data: 0.0002 max mem: 29859 [22:54:27.678164] Epoch: [212] [360/850] eta: 0:07:14 lr: 0.002108 loss: 0.0203 (0.0216) loss_rec_all: 0.0567 (0.0577) loss_rec_sfr: 0.0672 (0.0841) loss_cl: -0.3676 (-0.3673) time: 0.9899 data: 0.0002 max mem: 29859 [22:54:48.824351] Epoch: [212] [380/850] eta: 0:07:01 lr: 0.002108 loss: 0.0237 (0.0217) loss_rec_all: 0.0597 (0.0578) loss_rec_sfr: 0.0846 (0.0844) loss_cl: -0.3675 (-0.3673) time: 1.0573 data: 0.0643 max mem: 29859 [22:55:11.404670] Epoch: [212] [400/850] eta: 0:06:48 lr: 0.002108 loss: 0.0221 (0.0218) loss_rec_all: 0.0582 (0.0579) loss_rec_sfr: 0.0744 (0.0845) loss_cl: -0.3676 (-0.3673) time: 1.1290 data: 0.0623 max mem: 29859 [22:55:32.207848] Epoch: [212] [420/850] eta: 0:06:33 lr: 0.002108 loss: 0.0242 (0.0219) loss_rec_all: 0.0601 (0.0581) loss_rec_sfr: 0.0897 (0.0846) loss_cl: -0.3679 (-0.3673) time: 1.0401 data: 0.0429 max mem: 29859 [22:55:55.402780] Epoch: [212] [440/850] eta: 0:06:19 lr: 0.002108 loss: 0.0208 (0.0219) loss_rec_all: 0.0570 (0.0580) loss_rec_sfr: 0.0597 (0.0841) loss_cl: -0.3675 (-0.3673) time: 1.1597 data: 0.0438 max mem: 29859 [22:56:16.841642] Epoch: [212] [460/850] eta: 0:06:03 lr: 0.002108 loss: 0.0213 (0.0219) loss_rec_all: 0.0577 (0.0580) loss_rec_sfr: 0.0629 (0.0837) loss_cl: -0.3671 (-0.3673) time: 1.0719 data: 0.0600 max mem: 29859 [22:56:38.735036] Epoch: [212] [480/850] eta: 0:05:47 lr: 0.002107 loss: 0.0215 (0.0219) loss_rec_all: 0.0574 (0.0581) loss_rec_sfr: 0.0902 (0.0838) loss_cl: -0.3668 (-0.3673) time: 1.0946 data: 0.1159 max mem: 29859 [22:57:02.687875] Epoch: [212] [500/850] eta: 0:05:32 lr: 0.002107 loss: 0.0213 (0.0219) loss_rec_all: 0.0572 (0.0581) loss_rec_sfr: 0.0886 (0.0840) loss_cl: -0.3674 (-0.3673) time: 1.1976 data: 0.1156 max mem: 29859 [22:57:26.438357] Epoch: [212] [520/850] eta: 0:05:16 lr: 0.002107 loss: 0.0195 (0.0218) loss_rec_all: 0.0557 (0.0580) loss_rec_sfr: 0.0568 (0.0834) loss_cl: -0.3669 (-0.3673) time: 1.1875 data: 0.0348 max mem: 29859 [22:57:50.442629] Epoch: [212] [540/850] eta: 0:04:59 lr: 0.002107 loss: 0.0226 (0.0219) loss_rec_all: 0.0585 (0.0580) loss_rec_sfr: 0.0852 (0.0837) loss_cl: -0.3673 (-0.3673) time: 1.2002 data: 0.0003 max mem: 29859 [22:58:14.641046] Epoch: [212] [560/850] eta: 0:04:42 lr: 0.002107 loss: 0.0214 (0.0219) loss_rec_all: 0.0576 (0.0580) loss_rec_sfr: 0.0877 (0.0840) loss_cl: -0.3676 (-0.3673) time: 1.2099 data: 0.0082 max mem: 29859 [22:58:38.385246] Epoch: [212] [580/850] eta: 0:04:25 lr: 0.002107 loss: 0.0200 (0.0218) loss_rec_all: 0.0562 (0.0580) loss_rec_sfr: 0.0895 (0.0842) loss_cl: -0.3678 (-0.3673) time: 1.1872 data: 0.0002 max mem: 29859 [22:59:03.002116] Epoch: [212] [600/850] eta: 0:04:07 lr: 0.002107 loss: 0.0208 (0.0218) loss_rec_all: 0.0570 (0.0580) loss_rec_sfr: 0.0667 (0.0840) loss_cl: -0.3675 (-0.3673) time: 1.2308 data: 0.0002 max mem: 29859 [22:59:25.691162] Epoch: [212] [620/850] eta: 0:03:49 lr: 0.002107 loss: 0.0217 (0.0218) loss_rec_all: 0.0577 (0.0580) loss_rec_sfr: 0.0822 (0.0840) loss_cl: -0.3667 (-0.3673) time: 1.1344 data: 0.0003 max mem: 29859 [22:59:48.804755] Epoch: [212] [640/850] eta: 0:03:30 lr: 0.002107 loss: 0.0199 (0.0218) loss_rec_all: 0.0560 (0.0579) loss_rec_sfr: 0.0560 (0.0836) loss_cl: -0.3666 (-0.3673) time: 1.1556 data: 0.0002 max mem: 29859 [23:00:11.370180] Epoch: [212] [660/850] eta: 0:03:10 lr: 0.002107 loss: 0.0202 (0.0218) loss_rec_all: 0.0564 (0.0579) loss_rec_sfr: 0.0629 (0.0834) loss_cl: -0.3672 (-0.3673) time: 1.1282 data: 0.0002 max mem: 29859 [23:00:36.609259] Epoch: [212] [680/850] eta: 0:02:52 lr: 0.002107 loss: 0.0208 (0.0218) loss_rec_all: 0.0569 (0.0579) loss_rec_sfr: 0.0826 (0.0836) loss_cl: -0.3684 (-0.3673) time: 1.2619 data: 0.0359 max mem: 29859 [23:01:01.118824] Epoch: [212] [700/850] eta: 0:02:32 lr: 0.002107 loss: 0.0199 (0.0218) loss_rec_all: 0.0562 (0.0579) loss_rec_sfr: 0.0636 (0.0834) loss_cl: -0.3683 (-0.3673) time: 1.2254 data: 0.0003 max mem: 29859 [23:01:25.576743] Epoch: [212] [720/850] eta: 0:02:13 lr: 0.002107 loss: 0.0222 (0.0218) loss_rec_all: 0.0582 (0.0579) loss_rec_sfr: 0.0845 (0.0834) loss_cl: -0.3679 (-0.3673) time: 1.2228 data: 0.0002 max mem: 29859 [23:01:50.647282] Epoch: [212] [740/850] eta: 0:01:53 lr: 0.002106 loss: 0.0233 (0.0219) loss_rec_all: 0.0594 (0.0580) loss_rec_sfr: 0.0954 (0.0836) loss_cl: -0.3666 (-0.3673) time: 1.2535 data: 0.0002 max mem: 29859 [23:02:14.310709] Epoch: [212] [760/850] eta: 0:01:33 lr: 0.002106 loss: 0.0220 (0.0219) loss_rec_all: 0.0579 (0.0580) loss_rec_sfr: 0.0901 (0.0837) loss_cl: -0.3661 (-0.3673) time: 1.1831 data: 0.0002 max mem: 29859 [23:02:41.010121] Epoch: [212] [780/850] eta: 0:01:12 lr: 0.002106 loss: 0.0230 (0.0219) loss_rec_all: 0.0590 (0.0581) loss_rec_sfr: 0.0686 (0.0836) loss_cl: -0.3662 (-0.3673) time: 1.3349 data: 0.1677 max mem: 29859 [23:03:07.382958] Epoch: [212] [800/850] eta: 0:00:52 lr: 0.002106 loss: 0.0217 (0.0219) loss_rec_all: 0.0578 (0.0581) loss_rec_sfr: 0.0607 (0.0835) loss_cl: -0.3664 (-0.3672) time: 1.3186 data: 0.0002 max mem: 29859 [23:03:31.617131] Epoch: [212] [820/850] eta: 0:00:31 lr: 0.002106 loss: 0.0230 (0.0220) loss_rec_all: 0.0589 (0.0581) loss_rec_sfr: 0.0964 (0.0838) loss_cl: -0.3676 (-0.3672) time: 1.2117 data: 0.0002 max mem: 29859 [23:03:54.477935] Epoch: [212] [840/850] eta: 0:00:10 lr: 0.002106 loss: 0.0219 (0.0220) loss_rec_all: 0.0581 (0.0581) loss_rec_sfr: 0.0703 (0.0839) loss_cl: -0.3681 (-0.3673) time: 1.1430 data: 0.0008 max mem: 29859 [23:05:07.505519] Epoch: [212] [849/850] eta: 0:00:01 lr: 0.002106 loss: 0.0212 (0.0220) loss_rec_all: 0.0575 (0.0581) loss_rec_sfr: 0.0634 (0.0837) loss_cl: -0.3679 (-0.3673) time: 4.1864 data: 0.0007 max mem: 29859 [23:05:07.887781] Epoch: [212] Total time: 0:16:00 (1.1301 s / it) [23:05:07.888980] Averaged stats: lr: 0.002106 loss: 0.0212 (0.0219) loss_rec_all: 0.0575 (0.0580) loss_rec_sfr: 0.0634 (0.0833) loss_cl: -0.3679 (-0.3673) [23:05:07.894538] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [23:05:16.427196] Epoch: [213] [ 0/850] eta: 2:00:52 lr: 0.002106 loss: 0.0221 (0.0221) loss_rec_all: 0.0582 (0.0582) loss_rec_sfr: 0.1233 (0.1233) loss_cl: -0.3690 (-0.3690) time: 8.5319 data: 6.8593 max mem: 29859 [23:05:33.365293] Epoch: [213] [ 20/850] eta: 0:16:46 lr: 0.002106 loss: 0.0212 (0.0217) loss_rec_all: 0.0574 (0.0579) loss_rec_sfr: 0.0777 (0.0852) loss_cl: -0.3675 (-0.3678) time: 0.8469 data: 0.0002 max mem: 29859 [23:05:50.431722] Epoch: [213] [ 40/850] eta: 0:14:00 lr: 0.002106 loss: 0.0201 (0.0215) loss_rec_all: 0.0565 (0.0577) loss_rec_sfr: 0.0626 (0.0808) loss_cl: -0.3671 (-0.3674) time: 0.8533 data: 0.0002 max mem: 29859 [23:06:07.507341] Epoch: [213] [ 60/850] eta: 0:12:51 lr: 0.002106 loss: 0.0205 (0.0212) loss_rec_all: 0.0567 (0.0574) loss_rec_sfr: 0.0625 (0.0798) loss_cl: -0.3666 (-0.3672) time: 0.8537 data: 0.0002 max mem: 29859 [23:06:24.653412] Epoch: [213] [ 80/850] eta: 0:12:09 lr: 0.002106 loss: 0.0191 (0.0212) loss_rec_all: 0.0554 (0.0573) loss_rec_sfr: 0.0578 (0.0782) loss_cl: -0.3670 (-0.3671) time: 0.8573 data: 0.0002 max mem: 29859 [23:06:41.800913] Epoch: [213] [100/850] eta: 0:11:37 lr: 0.002106 loss: 0.0214 (0.0212) loss_rec_all: 0.0576 (0.0574) loss_rec_sfr: 0.0609 (0.0780) loss_cl: -0.3672 (-0.3671) time: 0.8573 data: 0.0002 max mem: 29859 [23:06:59.010893] Epoch: [213] [120/850] eta: 0:11:10 lr: 0.002106 loss: 0.0198 (0.0212) loss_rec_all: 0.0558 (0.0573) loss_rec_sfr: 0.0620 (0.0781) loss_cl: -0.3677 (-0.3672) time: 0.8604 data: 0.0003 max mem: 29859 [23:07:16.201599] Epoch: [213] [140/850] eta: 0:10:46 lr: 0.002105 loss: 0.0209 (0.0212) loss_rec_all: 0.0571 (0.0574) loss_rec_sfr: 0.0647 (0.0791) loss_cl: -0.3676 (-0.3672) time: 0.8595 data: 0.0002 max mem: 29859 [23:07:33.449259] Epoch: [213] [160/850] eta: 0:10:23 lr: 0.002105 loss: 0.0201 (0.0212) loss_rec_all: 0.0565 (0.0573) loss_rec_sfr: 0.0631 (0.0787) loss_cl: -0.3679 (-0.3673) time: 0.8623 data: 0.0003 max mem: 29859 [23:07:50.639184] Epoch: [213] [180/850] eta: 0:10:02 lr: 0.002105 loss: 0.0197 (0.0211) loss_rec_all: 0.0560 (0.0573) loss_rec_sfr: 0.0616 (0.0787) loss_cl: -0.3678 (-0.3673) time: 0.8594 data: 0.0002 max mem: 29859 [23:08:07.881528] Epoch: [213] [200/850] eta: 0:09:42 lr: 0.002105 loss: 0.0202 (0.0210) loss_rec_all: 0.0562 (0.0572) loss_rec_sfr: 0.1018 (0.0798) loss_cl: -0.3675 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [23:08:25.091723] Epoch: [213] [220/850] eta: 0:09:22 lr: 0.002105 loss: 0.0194 (0.0209) loss_rec_all: 0.0556 (0.0571) loss_rec_sfr: 0.0607 (0.0790) loss_cl: -0.3665 (-0.3673) time: 0.8604 data: 0.0003 max mem: 29859 [23:08:42.372961] Epoch: [213] [240/850] eta: 0:09:02 lr: 0.002105 loss: 0.0193 (0.0209) loss_rec_all: 0.0553 (0.0570) loss_rec_sfr: 0.0832 (0.0797) loss_cl: -0.3667 (-0.3672) time: 0.8640 data: 0.0003 max mem: 29859 [23:08:59.600987] Epoch: [213] [260/850] eta: 0:08:43 lr: 0.002105 loss: 0.0175 (0.0207) loss_rec_all: 0.0538 (0.0569) loss_rec_sfr: 0.0550 (0.0790) loss_cl: -0.3672 (-0.3672) time: 0.8613 data: 0.0003 max mem: 29859 [23:09:16.862131] Epoch: [213] [280/850] eta: 0:08:24 lr: 0.002105 loss: 0.0215 (0.0208) loss_rec_all: 0.0579 (0.0570) loss_rec_sfr: 0.0635 (0.0787) loss_cl: -0.3678 (-0.3673) time: 0.8630 data: 0.0003 max mem: 29859 [23:09:34.060589] Epoch: [213] [300/850] eta: 0:08:06 lr: 0.002105 loss: 0.0199 (0.0209) loss_rec_all: 0.0563 (0.0571) loss_rec_sfr: 0.0630 (0.0787) loss_cl: -0.3683 (-0.3673) time: 0.8599 data: 0.0002 max mem: 29859 [23:09:51.323550] Epoch: [213] [320/850] eta: 0:07:47 lr: 0.002105 loss: 0.0227 (0.0211) loss_rec_all: 0.0589 (0.0573) loss_rec_sfr: 0.0663 (0.0788) loss_cl: -0.3682 (-0.3674) time: 0.8631 data: 0.0003 max mem: 29859 [23:10:08.556530] Epoch: [213] [340/850] eta: 0:07:29 lr: 0.002105 loss: 0.0266 (0.0215) loss_rec_all: 0.0629 (0.0577) loss_rec_sfr: 0.0724 (0.0793) loss_cl: -0.3674 (-0.3674) time: 0.8616 data: 0.0002 max mem: 29859 [23:10:25.830323] Epoch: [213] [360/850] eta: 0:07:11 lr: 0.002105 loss: 0.0249 (0.0217) loss_rec_all: 0.0609 (0.0579) loss_rec_sfr: 0.0703 (0.0799) loss_cl: -0.3662 (-0.3673) time: 0.8636 data: 0.0003 max mem: 29859 [23:10:43.043180] Epoch: [213] [380/850] eta: 0:06:53 lr: 0.002105 loss: 0.0220 (0.0219) loss_rec_all: 0.0582 (0.0580) loss_rec_sfr: 0.0934 (0.0803) loss_cl: -0.3670 (-0.3673) time: 0.8605 data: 0.0002 max mem: 29859 [23:11:00.331297] Epoch: [213] [400/850] eta: 0:06:35 lr: 0.002104 loss: 0.0229 (0.0219) loss_rec_all: 0.0587 (0.0581) loss_rec_sfr: 0.0637 (0.0804) loss_cl: -0.3670 (-0.3673) time: 0.8644 data: 0.0003 max mem: 29859 [23:11:17.554075] Epoch: [213] [420/850] eta: 0:06:17 lr: 0.002104 loss: 0.0210 (0.0219) loss_rec_all: 0.0571 (0.0581) loss_rec_sfr: 0.0609 (0.0804) loss_cl: -0.3673 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [23:11:34.832695] Epoch: [213] [440/850] eta: 0:05:59 lr: 0.002104 loss: 0.0208 (0.0219) loss_rec_all: 0.0572 (0.0581) loss_rec_sfr: 0.0622 (0.0803) loss_cl: -0.3681 (-0.3673) time: 0.8639 data: 0.0003 max mem: 29859 [23:11:52.044232] Epoch: [213] [460/850] eta: 0:05:41 lr: 0.002104 loss: 0.0208 (0.0219) loss_rec_all: 0.0570 (0.0580) loss_rec_sfr: 0.0638 (0.0802) loss_cl: -0.3684 (-0.3673) time: 0.8605 data: 0.0002 max mem: 29859 [23:12:09.319460] Epoch: [213] [480/850] eta: 0:05:24 lr: 0.002104 loss: 0.0200 (0.0218) loss_rec_all: 0.0562 (0.0580) loss_rec_sfr: 0.0872 (0.0804) loss_cl: -0.3678 (-0.3674) time: 0.8637 data: 0.0003 max mem: 29859 [23:12:26.532647] Epoch: [213] [500/850] eta: 0:05:06 lr: 0.002104 loss: 0.0189 (0.0217) loss_rec_all: 0.0550 (0.0579) loss_rec_sfr: 0.0907 (0.0805) loss_cl: -0.3674 (-0.3674) time: 0.8606 data: 0.0002 max mem: 29859 [23:12:43.802142] Epoch: [213] [520/850] eta: 0:04:48 lr: 0.002104 loss: 0.0211 (0.0217) loss_rec_all: 0.0573 (0.0579) loss_rec_sfr: 0.0903 (0.0809) loss_cl: -0.3670 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [23:13:01.019161] Epoch: [213] [540/850] eta: 0:04:31 lr: 0.002104 loss: 0.0200 (0.0217) loss_rec_all: 0.0563 (0.0579) loss_rec_sfr: 0.0589 (0.0808) loss_cl: -0.3671 (-0.3673) time: 0.8608 data: 0.0002 max mem: 29859 [23:13:18.280525] Epoch: [213] [560/850] eta: 0:04:13 lr: 0.002104 loss: 0.0211 (0.0217) loss_rec_all: 0.0574 (0.0579) loss_rec_sfr: 0.0808 (0.0809) loss_cl: -0.3669 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [23:13:35.510492] Epoch: [213] [580/850] eta: 0:03:55 lr: 0.002104 loss: 0.0202 (0.0217) loss_rec_all: 0.0566 (0.0579) loss_rec_sfr: 0.0654 (0.0806) loss_cl: -0.3671 (-0.3673) time: 0.8614 data: 0.0003 max mem: 29859 [23:13:55.660369] Epoch: [213] [600/850] eta: 0:03:39 lr: 0.002104 loss: 0.0203 (0.0217) loss_rec_all: 0.0567 (0.0579) loss_rec_sfr: 0.0678 (0.0806) loss_cl: -0.3677 (-0.3673) time: 1.0074 data: 0.1141 max mem: 29859 [23:14:15.207029] Epoch: [213] [620/850] eta: 0:03:22 lr: 0.002104 loss: 0.0207 (0.0217) loss_rec_all: 0.0570 (0.0579) loss_rec_sfr: 0.0649 (0.0807) loss_cl: -0.3673 (-0.3673) time: 0.9773 data: 0.1136 max mem: 29859 [23:14:32.507772] Epoch: [213] [640/850] eta: 0:03:04 lr: 0.002104 loss: 0.0202 (0.0217) loss_rec_all: 0.0564 (0.0578) loss_rec_sfr: 0.0579 (0.0804) loss_cl: -0.3673 (-0.3673) time: 0.8650 data: 0.0038 max mem: 29859 [23:14:49.733158] Epoch: [213] [660/850] eta: 0:02:47 lr: 0.002103 loss: 0.0211 (0.0217) loss_rec_all: 0.0574 (0.0579) loss_rec_sfr: 0.0652 (0.0803) loss_cl: -0.3676 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [23:15:06.978602] Epoch: [213] [680/850] eta: 0:02:29 lr: 0.002103 loss: 0.0206 (0.0217) loss_rec_all: 0.0568 (0.0578) loss_rec_sfr: 0.0622 (0.0803) loss_cl: -0.3678 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [23:15:27.345472] Epoch: [213] [700/850] eta: 0:02:12 lr: 0.002103 loss: 0.0219 (0.0217) loss_rec_all: 0.0579 (0.0578) loss_rec_sfr: 0.0851 (0.0805) loss_cl: -0.3677 (-0.3673) time: 1.0182 data: 0.0003 max mem: 29859 [23:15:45.096410] Epoch: [213] [720/850] eta: 0:01:54 lr: 0.002103 loss: 0.0198 (0.0217) loss_rec_all: 0.0562 (0.0578) loss_rec_sfr: 0.0595 (0.0802) loss_cl: -0.3673 (-0.3673) time: 0.8875 data: 0.0002 max mem: 29859 [23:16:02.306096] Epoch: [213] [740/850] eta: 0:01:37 lr: 0.002103 loss: 0.0206 (0.0216) loss_rec_all: 0.0566 (0.0578) loss_rec_sfr: 0.0667 (0.0802) loss_cl: -0.3667 (-0.3673) time: 0.8604 data: 0.0002 max mem: 29859 [23:16:19.592532] Epoch: [213] [760/850] eta: 0:01:19 lr: 0.002103 loss: 0.0206 (0.0216) loss_rec_all: 0.0567 (0.0578) loss_rec_sfr: 0.0645 (0.0802) loss_cl: -0.3672 (-0.3673) time: 0.8642 data: 0.0003 max mem: 29859 [23:16:38.373442] Epoch: [213] [780/850] eta: 0:01:01 lr: 0.002103 loss: 0.0207 (0.0216) loss_rec_all: 0.0568 (0.0578) loss_rec_sfr: 0.0813 (0.0803) loss_cl: -0.3671 (-0.3673) time: 0.9390 data: 0.0003 max mem: 29859 [23:16:59.285790] Epoch: [213] [800/850] eta: 0:00:44 lr: 0.002103 loss: 0.0212 (0.0216) loss_rec_all: 0.0573 (0.0578) loss_rec_sfr: 0.0842 (0.0804) loss_cl: -0.3674 (-0.3673) time: 1.0456 data: 0.0003 max mem: 29859 [23:17:18.559299] Epoch: [213] [820/850] eta: 0:00:26 lr: 0.002103 loss: 0.0204 (0.0216) loss_rec_all: 0.0567 (0.0578) loss_rec_sfr: 0.0631 (0.0804) loss_cl: -0.3676 (-0.3673) time: 0.9636 data: 0.0002 max mem: 29859 [23:17:37.822399] Epoch: [213] [840/850] eta: 0:00:08 lr: 0.002103 loss: 0.0208 (0.0216) loss_rec_all: 0.0571 (0.0578) loss_rec_sfr: 0.0631 (0.0803) loss_cl: -0.3674 (-0.3673) time: 0.9631 data: 0.0006 max mem: 29859 [23:17:45.568478] Epoch: [213] [849/850] eta: 0:00:00 lr: 0.002103 loss: 0.0204 (0.0216) loss_rec_all: 0.0567 (0.0578) loss_rec_sfr: 0.0571 (0.0801) loss_cl: -0.3672 (-0.3673) time: 0.9226 data: 0.0005 max mem: 29859 [23:17:45.722247] Epoch: [213] Total time: 0:12:37 (0.8916 s / it) [23:17:45.723694] Averaged stats: lr: 0.002103 loss: 0.0204 (0.0217) loss_rec_all: 0.0567 (0.0579) loss_rec_sfr: 0.0571 (0.0811) loss_cl: -0.3672 (-0.3673) [23:17:45.729235] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [23:17:50.425077] Epoch: [214] [ 0/850] eta: 1:06:30 lr: 0.002103 loss: 0.0184 (0.0184) loss_rec_all: 0.0547 (0.0547) loss_rec_sfr: 0.0567 (0.0567) loss_cl: -0.3670 (-0.3670) time: 4.6950 data: 3.8383 max mem: 29859 [23:18:07.622135] Epoch: [214] [ 20/850] eta: 0:14:25 lr: 0.002103 loss: 0.0194 (0.0202) loss_rec_all: 0.0558 (0.0564) loss_rec_sfr: 0.0604 (0.0737) loss_cl: -0.3674 (-0.3673) time: 0.8598 data: 0.0003 max mem: 29859 [23:18:24.912135] Epoch: [214] [ 40/850] eta: 0:12:54 lr: 0.002103 loss: 0.0205 (0.0205) loss_rec_all: 0.0566 (0.0567) loss_rec_sfr: 0.0655 (0.0756) loss_cl: -0.3672 (-0.3672) time: 0.8644 data: 0.0004 max mem: 29859 [23:18:42.176220] Epoch: [214] [ 60/850] eta: 0:12:10 lr: 0.002103 loss: 0.0201 (0.0206) loss_rec_all: 0.0565 (0.0568) loss_rec_sfr: 0.0681 (0.0772) loss_cl: -0.3675 (-0.3673) time: 0.8631 data: 0.0004 max mem: 29859 [23:18:59.471495] Epoch: [214] [ 80/850] eta: 0:11:40 lr: 0.002102 loss: 0.0201 (0.0206) loss_rec_all: 0.0563 (0.0568) loss_rec_sfr: 0.0591 (0.0756) loss_cl: -0.3672 (-0.3673) time: 0.8647 data: 0.0003 max mem: 29859 [23:19:16.692836] Epoch: [214] [100/850] eta: 0:11:15 lr: 0.002102 loss: 0.0208 (0.0208) loss_rec_all: 0.0568 (0.0569) loss_rec_sfr: 0.0850 (0.0769) loss_cl: -0.3676 (-0.3673) time: 0.8610 data: 0.0003 max mem: 29859 [23:19:33.946418] Epoch: [214] [120/850] eta: 0:10:52 lr: 0.002102 loss: 0.0208 (0.0208) loss_rec_all: 0.0568 (0.0570) loss_rec_sfr: 0.0635 (0.0774) loss_cl: -0.3674 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [23:19:51.184728] Epoch: [214] [140/850] eta: 0:10:31 lr: 0.002102 loss: 0.0204 (0.0208) loss_rec_all: 0.0567 (0.0570) loss_rec_sfr: 0.0617 (0.0773) loss_cl: -0.3675 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [23:20:08.452492] Epoch: [214] [160/850] eta: 0:10:11 lr: 0.002102 loss: 0.0193 (0.0207) loss_rec_all: 0.0553 (0.0569) loss_rec_sfr: 0.0861 (0.0785) loss_cl: -0.3675 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [23:20:25.662023] Epoch: [214] [180/850] eta: 0:09:51 lr: 0.002102 loss: 0.0208 (0.0207) loss_rec_all: 0.0569 (0.0569) loss_rec_sfr: 0.0763 (0.0794) loss_cl: -0.3673 (-0.3673) time: 0.8604 data: 0.0002 max mem: 29859 [23:20:42.912583] Epoch: [214] [200/850] eta: 0:09:32 lr: 0.002102 loss: 0.0222 (0.0210) loss_rec_all: 0.0582 (0.0571) loss_rec_sfr: 0.0862 (0.0799) loss_cl: -0.3675 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [23:21:00.128300] Epoch: [214] [220/850] eta: 0:09:14 lr: 0.002102 loss: 0.0212 (0.0211) loss_rec_all: 0.0574 (0.0573) loss_rec_sfr: 0.0894 (0.0807) loss_cl: -0.3679 (-0.3674) time: 0.8607 data: 0.0003 max mem: 29859 [23:21:17.376914] Epoch: [214] [240/850] eta: 0:08:55 lr: 0.002102 loss: 0.0210 (0.0211) loss_rec_all: 0.0573 (0.0573) loss_rec_sfr: 0.0608 (0.0801) loss_cl: -0.3676 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [23:21:34.591908] Epoch: [214] [260/850] eta: 0:08:37 lr: 0.002102 loss: 0.0224 (0.0213) loss_rec_all: 0.0584 (0.0574) loss_rec_sfr: 0.0842 (0.0808) loss_cl: -0.3676 (-0.3674) time: 0.8607 data: 0.0002 max mem: 29859 [23:21:51.863799] Epoch: [214] [280/850] eta: 0:08:19 lr: 0.002102 loss: 0.0195 (0.0212) loss_rec_all: 0.0556 (0.0574) loss_rec_sfr: 0.0627 (0.0806) loss_cl: -0.3669 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [23:22:09.090670] Epoch: [214] [300/850] eta: 0:08:01 lr: 0.002102 loss: 0.0196 (0.0212) loss_rec_all: 0.0558 (0.0573) loss_rec_sfr: 0.0624 (0.0803) loss_cl: -0.3672 (-0.3674) time: 0.8613 data: 0.0002 max mem: 29859 [23:22:26.368883] Epoch: [214] [320/850] eta: 0:07:43 lr: 0.002102 loss: 0.0197 (0.0211) loss_rec_all: 0.0560 (0.0573) loss_rec_sfr: 0.0640 (0.0801) loss_cl: -0.3674 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [23:22:43.596240] Epoch: [214] [340/850] eta: 0:07:25 lr: 0.002101 loss: 0.0203 (0.0211) loss_rec_all: 0.0566 (0.0573) loss_rec_sfr: 0.0873 (0.0807) loss_cl: -0.3669 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [23:23:00.853341] Epoch: [214] [360/850] eta: 0:07:07 lr: 0.002101 loss: 0.0194 (0.0210) loss_rec_all: 0.0553 (0.0572) loss_rec_sfr: 0.0587 (0.0804) loss_cl: -0.3668 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [23:23:18.075296] Epoch: [214] [380/850] eta: 0:06:49 lr: 0.002101 loss: 0.0202 (0.0210) loss_rec_all: 0.0564 (0.0572) loss_rec_sfr: 0.0668 (0.0800) loss_cl: -0.3672 (-0.3673) time: 0.8610 data: 0.0002 max mem: 29859 [23:23:35.456662] Epoch: [214] [400/850] eta: 0:06:32 lr: 0.002101 loss: 0.0203 (0.0210) loss_rec_all: 0.0562 (0.0572) loss_rec_sfr: 0.0628 (0.0798) loss_cl: -0.3673 (-0.3673) time: 0.8690 data: 0.0006 max mem: 29859 [23:23:52.671042] Epoch: [214] [420/850] eta: 0:06:14 lr: 0.002101 loss: 0.0224 (0.0211) loss_rec_all: 0.0583 (0.0573) loss_rec_sfr: 0.0724 (0.0799) loss_cl: -0.3672 (-0.3673) time: 0.8607 data: 0.0002 max mem: 29859 [23:24:09.921589] Epoch: [214] [440/850] eta: 0:05:57 lr: 0.002101 loss: 0.0222 (0.0212) loss_rec_all: 0.0582 (0.0574) loss_rec_sfr: 0.0661 (0.0802) loss_cl: -0.3673 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [23:24:27.205637] Epoch: [214] [460/850] eta: 0:05:39 lr: 0.002101 loss: 0.0218 (0.0213) loss_rec_all: 0.0582 (0.0575) loss_rec_sfr: 0.0829 (0.0804) loss_cl: -0.3675 (-0.3673) time: 0.8641 data: 0.0004 max mem: 29859 [23:24:44.462926] Epoch: [214] [480/850] eta: 0:05:22 lr: 0.002101 loss: 0.0255 (0.0215) loss_rec_all: 0.0618 (0.0577) loss_rec_sfr: 0.0722 (0.0805) loss_cl: -0.3675 (-0.3673) time: 0.8628 data: 0.0003 max mem: 29859 [23:25:01.693846] Epoch: [214] [500/850] eta: 0:05:04 lr: 0.002101 loss: 0.0221 (0.0216) loss_rec_all: 0.0585 (0.0578) loss_rec_sfr: 0.0631 (0.0801) loss_cl: -0.3677 (-0.3673) time: 0.8615 data: 0.0003 max mem: 29859 [23:25:18.996270] Epoch: [214] [520/850] eta: 0:04:47 lr: 0.002101 loss: 0.0243 (0.0217) loss_rec_all: 0.0602 (0.0579) loss_rec_sfr: 0.0878 (0.0806) loss_cl: -0.3666 (-0.3673) time: 0.8650 data: 0.0003 max mem: 29859 [23:25:36.281508] Epoch: [214] [540/850] eta: 0:04:29 lr: 0.002101 loss: 0.0221 (0.0218) loss_rec_all: 0.0582 (0.0579) loss_rec_sfr: 0.0674 (0.0805) loss_cl: -0.3667 (-0.3673) time: 0.8642 data: 0.0003 max mem: 29859 [23:25:53.606355] Epoch: [214] [560/850] eta: 0:04:12 lr: 0.002101 loss: 0.0219 (0.0218) loss_rec_all: 0.0580 (0.0580) loss_rec_sfr: 0.0611 (0.0804) loss_cl: -0.3668 (-0.3673) time: 0.8662 data: 0.0003 max mem: 29859 [23:26:10.827678] Epoch: [214] [580/850] eta: 0:03:54 lr: 0.002101 loss: 0.0203 (0.0218) loss_rec_all: 0.0567 (0.0580) loss_rec_sfr: 0.0632 (0.0803) loss_cl: -0.3672 (-0.3673) time: 0.8610 data: 0.0003 max mem: 29859 [23:26:28.078451] Epoch: [214] [600/850] eta: 0:03:37 lr: 0.002100 loss: 0.0199 (0.0218) loss_rec_all: 0.0562 (0.0579) loss_rec_sfr: 0.0640 (0.0803) loss_cl: -0.3671 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [23:26:45.362680] Epoch: [214] [620/850] eta: 0:03:19 lr: 0.002100 loss: 0.0202 (0.0217) loss_rec_all: 0.0566 (0.0579) loss_rec_sfr: 0.0628 (0.0804) loss_cl: -0.3680 (-0.3673) time: 0.8642 data: 0.0004 max mem: 29859 [23:27:02.659741] Epoch: [214] [640/850] eta: 0:03:02 lr: 0.002100 loss: 0.0208 (0.0217) loss_rec_all: 0.0568 (0.0579) loss_rec_sfr: 0.0801 (0.0806) loss_cl: -0.3681 (-0.3673) time: 0.8648 data: 0.0004 max mem: 29859 [23:27:19.888850] Epoch: [214] [660/850] eta: 0:02:45 lr: 0.002100 loss: 0.0221 (0.0217) loss_rec_all: 0.0579 (0.0579) loss_rec_sfr: 0.0834 (0.0807) loss_cl: -0.3676 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [23:27:37.142099] Epoch: [214] [680/850] eta: 0:02:27 lr: 0.002100 loss: 0.0213 (0.0218) loss_rec_all: 0.0574 (0.0580) loss_rec_sfr: 0.0915 (0.0808) loss_cl: -0.3668 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [23:27:54.344898] Epoch: [214] [700/850] eta: 0:02:10 lr: 0.002100 loss: 0.0222 (0.0218) loss_rec_all: 0.0584 (0.0580) loss_rec_sfr: 0.0803 (0.0810) loss_cl: -0.3663 (-0.3673) time: 0.8601 data: 0.0002 max mem: 29859 [23:28:11.614690] Epoch: [214] [720/850] eta: 0:01:52 lr: 0.002100 loss: 0.0209 (0.0218) loss_rec_all: 0.0570 (0.0580) loss_rec_sfr: 0.0754 (0.0810) loss_cl: -0.3662 (-0.3672) time: 0.8634 data: 0.0002 max mem: 29859 [23:28:28.808448] Epoch: [214] [740/850] eta: 0:01:35 lr: 0.002100 loss: 0.0204 (0.0218) loss_rec_all: 0.0566 (0.0580) loss_rec_sfr: 0.0637 (0.0808) loss_cl: -0.3669 (-0.3672) time: 0.8596 data: 0.0002 max mem: 29859 [23:28:46.074610] Epoch: [214] [760/850] eta: 0:01:18 lr: 0.002100 loss: 0.0206 (0.0218) loss_rec_all: 0.0570 (0.0580) loss_rec_sfr: 0.0769 (0.0809) loss_cl: -0.3679 (-0.3672) time: 0.8632 data: 0.0003 max mem: 29859 [23:29:03.274745] Epoch: [214] [780/850] eta: 0:01:00 lr: 0.002100 loss: 0.0199 (0.0218) loss_rec_all: 0.0562 (0.0579) loss_rec_sfr: 0.0640 (0.0808) loss_cl: -0.3682 (-0.3673) time: 0.8600 data: 0.0002 max mem: 29859 [23:29:20.524110] Epoch: [214] [800/850] eta: 0:00:43 lr: 0.002100 loss: 0.0199 (0.0217) loss_rec_all: 0.0563 (0.0579) loss_rec_sfr: 0.0584 (0.0804) loss_cl: -0.3681 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [23:29:37.738617] Epoch: [214] [820/850] eta: 0:00:26 lr: 0.002100 loss: 0.0209 (0.0217) loss_rec_all: 0.0571 (0.0579) loss_rec_sfr: 0.0701 (0.0805) loss_cl: -0.3671 (-0.3673) time: 0.8607 data: 0.0002 max mem: 29859 [23:29:54.996840] Epoch: [214] [840/850] eta: 0:00:08 lr: 0.002100 loss: 0.0200 (0.0217) loss_rec_all: 0.0563 (0.0579) loss_rec_sfr: 0.0608 (0.0803) loss_cl: -0.3670 (-0.3673) time: 0.8629 data: 0.0005 max mem: 29859 [23:30:02.748294] Epoch: [214] [849/850] eta: 0:00:00 lr: 0.002099 loss: 0.0200 (0.0217) loss_rec_all: 0.0563 (0.0579) loss_rec_sfr: 0.0597 (0.0802) loss_cl: -0.3673 (-0.3673) time: 0.8631 data: 0.0004 max mem: 29859 [23:30:02.910003] Epoch: [214] Total time: 0:12:17 (0.8673 s / it) [23:30:02.914431] Averaged stats: lr: 0.002099 loss: 0.0200 (0.0218) loss_rec_all: 0.0563 (0.0579) loss_rec_sfr: 0.0597 (0.0809) loss_cl: -0.3673 (-0.3673) [23:30:02.933163] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [23:30:07.170231] Epoch: [215] [ 0/850] eta: 1:00:00 lr: 0.002099 loss: 0.0294 (0.0294) loss_rec_all: 0.0654 (0.0654) loss_rec_sfr: 0.0906 (0.0906) loss_cl: -0.3666 (-0.3666) time: 4.2361 data: 3.3461 max mem: 29859 [23:30:24.373389] Epoch: [215] [ 20/850] eta: 0:14:07 lr: 0.002099 loss: 0.0193 (0.0205) loss_rec_all: 0.0557 (0.0567) loss_rec_sfr: 0.0660 (0.0795) loss_cl: -0.3678 (-0.3677) time: 0.8601 data: 0.0003 max mem: 29859 [23:30:41.645492] Epoch: [215] [ 40/850] eta: 0:12:44 lr: 0.002099 loss: 0.0216 (0.0213) loss_rec_all: 0.0578 (0.0575) loss_rec_sfr: 0.0843 (0.0849) loss_cl: -0.3683 (-0.3680) time: 0.8636 data: 0.0003 max mem: 29859 [23:30:58.887410] Epoch: [215] [ 60/850] eta: 0:12:04 lr: 0.002099 loss: 0.0218 (0.0217) loss_rec_all: 0.0580 (0.0579) loss_rec_sfr: 0.0778 (0.0835) loss_cl: -0.3676 (-0.3678) time: 0.8620 data: 0.0003 max mem: 29859 [23:31:16.139020] Epoch: [215] [ 80/850] eta: 0:11:35 lr: 0.002099 loss: 0.0211 (0.0218) loss_rec_all: 0.0570 (0.0580) loss_rec_sfr: 0.0867 (0.0847) loss_cl: -0.3678 (-0.3678) time: 0.8625 data: 0.0004 max mem: 29859 [23:31:33.406882] Epoch: [215] [100/850] eta: 0:11:11 lr: 0.002099 loss: 0.0198 (0.0216) loss_rec_all: 0.0559 (0.0577) loss_rec_sfr: 0.0968 (0.0869) loss_cl: -0.3674 (-0.3677) time: 0.8633 data: 0.0004 max mem: 29859 [23:31:50.769214] Epoch: [215] [120/850] eta: 0:10:50 lr: 0.002099 loss: 0.0209 (0.0215) loss_rec_all: 0.0568 (0.0577) loss_rec_sfr: 0.0828 (0.0864) loss_cl: -0.3668 (-0.3675) time: 0.8680 data: 0.0004 max mem: 29859 [23:32:07.979187] Epoch: [215] [140/850] eta: 0:10:29 lr: 0.002099 loss: 0.0214 (0.0215) loss_rec_all: 0.0575 (0.0577) loss_rec_sfr: 0.0829 (0.0858) loss_cl: -0.3665 (-0.3674) time: 0.8604 data: 0.0003 max mem: 29859 [23:32:25.250110] Epoch: [215] [160/850] eta: 0:10:09 lr: 0.002099 loss: 0.0200 (0.0214) loss_rec_all: 0.0560 (0.0575) loss_rec_sfr: 0.0669 (0.0852) loss_cl: -0.3668 (-0.3674) time: 0.8634 data: 0.0003 max mem: 29859 [23:32:42.544294] Epoch: [215] [180/850] eta: 0:09:50 lr: 0.002099 loss: 0.0216 (0.0214) loss_rec_all: 0.0577 (0.0576) loss_rec_sfr: 0.0618 (0.0852) loss_cl: -0.3677 (-0.3674) time: 0.8646 data: 0.0004 max mem: 29859 [23:32:59.837770] Epoch: [215] [200/850] eta: 0:09:32 lr: 0.002099 loss: 0.0221 (0.0215) loss_rec_all: 0.0585 (0.0577) loss_rec_sfr: 0.0896 (0.0853) loss_cl: -0.3679 (-0.3675) time: 0.8646 data: 0.0003 max mem: 29859 [23:33:17.042418] Epoch: [215] [220/850] eta: 0:09:13 lr: 0.002099 loss: 0.0216 (0.0216) loss_rec_all: 0.0578 (0.0577) loss_rec_sfr: 0.0854 (0.0854) loss_cl: -0.3671 (-0.3674) time: 0.8602 data: 0.0003 max mem: 29859 [23:33:34.323322] Epoch: [215] [240/850] eta: 0:08:55 lr: 0.002099 loss: 0.0206 (0.0216) loss_rec_all: 0.0568 (0.0578) loss_rec_sfr: 0.0642 (0.0846) loss_cl: -0.3667 (-0.3674) time: 0.8640 data: 0.0003 max mem: 29859 [23:33:51.598344] Epoch: [215] [260/850] eta: 0:08:36 lr: 0.002098 loss: 0.0200 (0.0216) loss_rec_all: 0.0562 (0.0577) loss_rec_sfr: 0.0635 (0.0834) loss_cl: -0.3667 (-0.3673) time: 0.8637 data: 0.0003 max mem: 29859 [23:34:08.860908] Epoch: [215] [280/850] eta: 0:08:18 lr: 0.002098 loss: 0.0210 (0.0216) loss_rec_all: 0.0570 (0.0577) loss_rec_sfr: 0.0889 (0.0834) loss_cl: -0.3670 (-0.3673) time: 0.8631 data: 0.0003 max mem: 29859 [23:34:26.108301] Epoch: [215] [300/850] eta: 0:08:00 lr: 0.002098 loss: 0.0202 (0.0215) loss_rec_all: 0.0564 (0.0576) loss_rec_sfr: 0.0626 (0.0830) loss_cl: -0.3673 (-0.3673) time: 0.8623 data: 0.0003 max mem: 29859 [23:34:43.371946] Epoch: [215] [320/850] eta: 0:07:42 lr: 0.002098 loss: 0.0200 (0.0214) loss_rec_all: 0.0563 (0.0576) loss_rec_sfr: 0.0603 (0.0825) loss_cl: -0.3677 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [23:35:00.580408] Epoch: [215] [340/850] eta: 0:07:25 lr: 0.002098 loss: 0.0210 (0.0214) loss_rec_all: 0.0573 (0.0576) loss_rec_sfr: 0.0618 (0.0821) loss_cl: -0.3680 (-0.3673) time: 0.8604 data: 0.0002 max mem: 29859 [23:35:17.858442] Epoch: [215] [360/850] eta: 0:07:07 lr: 0.002098 loss: 0.0190 (0.0214) loss_rec_all: 0.0553 (0.0575) loss_rec_sfr: 0.0634 (0.0816) loss_cl: -0.3678 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [23:35:35.070206] Epoch: [215] [380/850] eta: 0:06:49 lr: 0.002098 loss: 0.0207 (0.0213) loss_rec_all: 0.0569 (0.0575) loss_rec_sfr: 0.0633 (0.0812) loss_cl: -0.3671 (-0.3673) time: 0.8605 data: 0.0002 max mem: 29859 [23:35:52.328141] Epoch: [215] [400/850] eta: 0:06:32 lr: 0.002098 loss: 0.0207 (0.0213) loss_rec_all: 0.0567 (0.0575) loss_rec_sfr: 0.0634 (0.0809) loss_cl: -0.3669 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [23:36:09.544487] Epoch: [215] [420/850] eta: 0:06:14 lr: 0.002098 loss: 0.0202 (0.0213) loss_rec_all: 0.0562 (0.0574) loss_rec_sfr: 0.0831 (0.0808) loss_cl: -0.3667 (-0.3673) time: 0.8608 data: 0.0002 max mem: 29859 [23:36:26.808819] Epoch: [215] [440/850] eta: 0:05:56 lr: 0.002098 loss: 0.0191 (0.0212) loss_rec_all: 0.0553 (0.0574) loss_rec_sfr: 0.0643 (0.0805) loss_cl: -0.3673 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [23:36:44.010338] Epoch: [215] [460/850] eta: 0:05:39 lr: 0.002098 loss: 0.0198 (0.0212) loss_rec_all: 0.0561 (0.0574) loss_rec_sfr: 0.0633 (0.0806) loss_cl: -0.3671 (-0.3673) time: 0.8600 data: 0.0002 max mem: 29859 [23:37:01.296145] Epoch: [215] [480/850] eta: 0:05:21 lr: 0.002098 loss: 0.0208 (0.0212) loss_rec_all: 0.0568 (0.0574) loss_rec_sfr: 0.0601 (0.0804) loss_cl: -0.3677 (-0.3673) time: 0.8642 data: 0.0003 max mem: 29859 [23:37:18.503195] Epoch: [215] [500/850] eta: 0:05:04 lr: 0.002098 loss: 0.0235 (0.0213) loss_rec_all: 0.0596 (0.0575) loss_rec_sfr: 0.0749 (0.0805) loss_cl: -0.3678 (-0.3673) time: 0.8603 data: 0.0002 max mem: 29859 [23:37:35.774337] Epoch: [215] [520/850] eta: 0:04:46 lr: 0.002097 loss: 0.0286 (0.0216) loss_rec_all: 0.0648 (0.0578) loss_rec_sfr: 0.0956 (0.0816) loss_cl: -0.3680 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [23:37:52.976473] Epoch: [215] [540/850] eta: 0:04:29 lr: 0.002097 loss: 0.0365 (0.0222) loss_rec_all: 0.0727 (0.0583) loss_rec_sfr: 0.1319 (0.0837) loss_cl: -0.3680 (-0.3674) time: 0.8601 data: 0.0003 max mem: 29859 [23:38:10.237167] Epoch: [215] [560/850] eta: 0:04:11 lr: 0.002097 loss: 0.0383 (0.0228) loss_rec_all: 0.0742 (0.0589) loss_rec_sfr: 0.1194 (0.0848) loss_cl: -0.3679 (-0.3674) time: 0.8630 data: 0.0003 max mem: 29859 [23:38:27.471184] Epoch: [215] [580/850] eta: 0:03:54 lr: 0.002097 loss: 0.0351 (0.0233) loss_rec_all: 0.0706 (0.0595) loss_rec_sfr: 0.1040 (0.0868) loss_cl: -0.3669 (-0.3674) time: 0.8616 data: 0.0002 max mem: 29859 [23:38:44.726788] Epoch: [215] [600/850] eta: 0:03:37 lr: 0.002097 loss: 0.0311 (0.0236) loss_rec_all: 0.0671 (0.0597) loss_rec_sfr: 0.0841 (0.0873) loss_cl: -0.3660 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [23:39:01.989506] Epoch: [215] [620/850] eta: 0:03:19 lr: 0.002097 loss: 0.0292 (0.0238) loss_rec_all: 0.0652 (0.0599) loss_rec_sfr: 0.0884 (0.0875) loss_cl: -0.3664 (-0.3673) time: 0.8631 data: 0.0003 max mem: 29859 [23:39:19.317942] Epoch: [215] [640/850] eta: 0:03:02 lr: 0.002097 loss: 0.0280 (0.0240) loss_rec_all: 0.0640 (0.0601) loss_rec_sfr: 0.0910 (0.0880) loss_cl: -0.3666 (-0.3673) time: 0.8663 data: 0.0003 max mem: 29859 [23:39:36.530873] Epoch: [215] [660/850] eta: 0:02:44 lr: 0.002097 loss: 0.0265 (0.0241) loss_rec_all: 0.0626 (0.0602) loss_rec_sfr: 0.0866 (0.0881) loss_cl: -0.3673 (-0.3673) time: 0.8606 data: 0.0002 max mem: 29859 [23:39:53.806017] Epoch: [215] [680/850] eta: 0:02:27 lr: 0.002097 loss: 0.0243 (0.0241) loss_rec_all: 0.0602 (0.0602) loss_rec_sfr: 0.0750 (0.0879) loss_cl: -0.3681 (-0.3673) time: 0.8637 data: 0.0003 max mem: 29859 [23:40:11.025562] Epoch: [215] [700/850] eta: 0:02:10 lr: 0.002097 loss: 0.0233 (0.0241) loss_rec_all: 0.0596 (0.0602) loss_rec_sfr: 0.0784 (0.0879) loss_cl: -0.3681 (-0.3673) time: 0.8609 data: 0.0003 max mem: 29859 [23:40:28.286249] Epoch: [215] [720/850] eta: 0:01:52 lr: 0.002097 loss: 0.0229 (0.0240) loss_rec_all: 0.0589 (0.0601) loss_rec_sfr: 0.0836 (0.0879) loss_cl: -0.3680 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [23:40:45.487442] Epoch: [215] [740/850] eta: 0:01:35 lr: 0.002097 loss: 0.0215 (0.0240) loss_rec_all: 0.0576 (0.0601) loss_rec_sfr: 0.0650 (0.0877) loss_cl: -0.3675 (-0.3673) time: 0.8600 data: 0.0002 max mem: 29859 [23:41:02.733138] Epoch: [215] [760/850] eta: 0:01:18 lr: 0.002097 loss: 0.0207 (0.0239) loss_rec_all: 0.0568 (0.0600) loss_rec_sfr: 0.0672 (0.0873) loss_cl: -0.3670 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [23:41:19.949929] Epoch: [215] [780/850] eta: 0:01:00 lr: 0.002096 loss: 0.0202 (0.0238) loss_rec_all: 0.0563 (0.0599) loss_rec_sfr: 0.0638 (0.0871) loss_cl: -0.3672 (-0.3673) time: 0.8608 data: 0.0003 max mem: 29859 [23:41:37.202968] Epoch: [215] [800/850] eta: 0:00:43 lr: 0.002096 loss: 0.0214 (0.0238) loss_rec_all: 0.0577 (0.0599) loss_rec_sfr: 0.0831 (0.0870) loss_cl: -0.3671 (-0.3673) time: 0.8625 data: 0.0003 max mem: 29859 [23:41:54.402934] Epoch: [215] [820/850] eta: 0:00:25 lr: 0.002096 loss: 0.0207 (0.0237) loss_rec_all: 0.0570 (0.0598) loss_rec_sfr: 0.0780 (0.0868) loss_cl: -0.3675 (-0.3673) time: 0.8599 data: 0.0003 max mem: 29859 [23:42:11.662914] Epoch: [215] [840/850] eta: 0:00:08 lr: 0.002096 loss: 0.0195 (0.0236) loss_rec_all: 0.0557 (0.0597) loss_rec_sfr: 0.0676 (0.0867) loss_cl: -0.3674 (-0.3673) time: 0.8629 data: 0.0005 max mem: 29859 [23:42:19.407282] Epoch: [215] [849/850] eta: 0:00:00 lr: 0.002096 loss: 0.0195 (0.0236) loss_rec_all: 0.0559 (0.0597) loss_rec_sfr: 0.0819 (0.0867) loss_cl: -0.3673 (-0.3673) time: 0.8628 data: 0.0005 max mem: 29859 [23:42:19.594680] Epoch: [215] Total time: 0:12:16 (0.8667 s / it) [23:42:19.602472] Averaged stats: lr: 0.002096 loss: 0.0195 (0.0236) loss_rec_all: 0.0559 (0.0597) loss_rec_sfr: 0.0819 (0.0876) loss_cl: -0.3673 (-0.3673) [23:42:19.609911] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [23:42:24.020690] Epoch: [216] [ 0/850] eta: 1:02:28 lr: 0.002096 loss: 0.0190 (0.0190) loss_rec_all: 0.0550 (0.0550) loss_rec_sfr: 0.1186 (0.1186) loss_cl: -0.3675 (-0.3675) time: 4.4100 data: 3.5569 max mem: 29859 [23:42:41.210588] Epoch: [216] [ 20/850] eta: 0:14:13 lr: 0.002096 loss: 0.0185 (0.0194) loss_rec_all: 0.0547 (0.0556) loss_rec_sfr: 0.0816 (0.0862) loss_cl: -0.3675 (-0.3675) time: 0.8594 data: 0.0002 max mem: 29859 [23:42:58.439415] Epoch: [216] [ 40/850] eta: 0:12:47 lr: 0.002096 loss: 0.0203 (0.0201) loss_rec_all: 0.0564 (0.0563) loss_rec_sfr: 0.0617 (0.0835) loss_cl: -0.3673 (-0.3674) time: 0.8614 data: 0.0002 max mem: 29859 [23:43:15.639291] Epoch: [216] [ 60/850] eta: 0:12:05 lr: 0.002096 loss: 0.0209 (0.0205) loss_rec_all: 0.0569 (0.0567) loss_rec_sfr: 0.0873 (0.0848) loss_cl: -0.3679 (-0.3675) time: 0.8599 data: 0.0002 max mem: 29859 [23:43:32.903747] Epoch: [216] [ 80/850] eta: 0:11:36 lr: 0.002096 loss: 0.0212 (0.0210) loss_rec_all: 0.0573 (0.0571) loss_rec_sfr: 0.0850 (0.0844) loss_cl: -0.3677 (-0.3676) time: 0.8632 data: 0.0003 max mem: 29859 [23:43:50.135605] Epoch: [216] [100/850] eta: 0:11:12 lr: 0.002096 loss: 0.0214 (0.0212) loss_rec_all: 0.0573 (0.0573) loss_rec_sfr: 0.0828 (0.0846) loss_cl: -0.3679 (-0.3676) time: 0.8615 data: 0.0002 max mem: 29859 [23:44:07.419229] Epoch: [216] [120/850] eta: 0:10:50 lr: 0.002096 loss: 0.0223 (0.0214) loss_rec_all: 0.0583 (0.0575) loss_rec_sfr: 0.0673 (0.0843) loss_cl: -0.3681 (-0.3677) time: 0.8641 data: 0.0003 max mem: 29859 [23:44:24.697278] Epoch: [216] [140/850] eta: 0:10:29 lr: 0.002096 loss: 0.0194 (0.0213) loss_rec_all: 0.0557 (0.0575) loss_rec_sfr: 0.0649 (0.0830) loss_cl: -0.3673 (-0.3676) time: 0.8638 data: 0.0003 max mem: 29859 [23:44:41.977382] Epoch: [216] [160/850] eta: 0:10:10 lr: 0.002096 loss: 0.0211 (0.0212) loss_rec_all: 0.0570 (0.0574) loss_rec_sfr: 0.0598 (0.0821) loss_cl: -0.3668 (-0.3675) time: 0.8640 data: 0.0002 max mem: 29859 [23:44:59.301222] Epoch: [216] [180/850] eta: 0:09:51 lr: 0.002096 loss: 0.0216 (0.0212) loss_rec_all: 0.0574 (0.0574) loss_rec_sfr: 0.0812 (0.0815) loss_cl: -0.3668 (-0.3674) time: 0.8661 data: 0.0013 max mem: 29859 [23:45:16.585935] Epoch: [216] [200/850] eta: 0:09:32 lr: 0.002095 loss: 0.0203 (0.0212) loss_rec_all: 0.0563 (0.0573) loss_rec_sfr: 0.0660 (0.0816) loss_cl: -0.3669 (-0.3674) time: 0.8642 data: 0.0004 max mem: 29859 [23:45:33.805070] Epoch: [216] [220/850] eta: 0:09:13 lr: 0.002095 loss: 0.0199 (0.0211) loss_rec_all: 0.0560 (0.0572) loss_rec_sfr: 0.0660 (0.0813) loss_cl: -0.3670 (-0.3673) time: 0.8609 data: 0.0002 max mem: 29859 [23:45:51.090011] Epoch: [216] [240/850] eta: 0:08:55 lr: 0.002095 loss: 0.0199 (0.0210) loss_rec_all: 0.0562 (0.0571) loss_rec_sfr: 0.0665 (0.0812) loss_cl: -0.3672 (-0.3673) time: 0.8642 data: 0.0003 max mem: 29859 [23:46:08.311506] Epoch: [216] [260/850] eta: 0:08:36 lr: 0.002095 loss: 0.0193 (0.0209) loss_rec_all: 0.0555 (0.0571) loss_rec_sfr: 0.0650 (0.0810) loss_cl: -0.3672 (-0.3673) time: 0.8610 data: 0.0002 max mem: 29859 [23:46:25.588356] Epoch: [216] [280/850] eta: 0:08:18 lr: 0.002095 loss: 0.0193 (0.0209) loss_rec_all: 0.0558 (0.0570) loss_rec_sfr: 0.0694 (0.0811) loss_cl: -0.3671 (-0.3673) time: 0.8638 data: 0.0003 max mem: 29859 [23:46:42.821730] Epoch: [216] [300/850] eta: 0:08:00 lr: 0.002095 loss: 0.0204 (0.0209) loss_rec_all: 0.0565 (0.0570) loss_rec_sfr: 0.0860 (0.0815) loss_cl: -0.3678 (-0.3673) time: 0.8616 data: 0.0003 max mem: 29859 [23:47:00.084173] Epoch: [216] [320/850] eta: 0:07:43 lr: 0.002095 loss: 0.0198 (0.0208) loss_rec_all: 0.0560 (0.0570) loss_rec_sfr: 0.0685 (0.0812) loss_cl: -0.3676 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [23:47:17.328555] Epoch: [216] [340/850] eta: 0:07:25 lr: 0.002095 loss: 0.0207 (0.0209) loss_rec_all: 0.0570 (0.0570) loss_rec_sfr: 0.0649 (0.0813) loss_cl: -0.3678 (-0.3674) time: 0.8622 data: 0.0003 max mem: 29859 [23:47:34.582103] Epoch: [216] [360/850] eta: 0:07:07 lr: 0.002095 loss: 0.0208 (0.0209) loss_rec_all: 0.0570 (0.0571) loss_rec_sfr: 0.0573 (0.0809) loss_cl: -0.3670 (-0.3674) time: 0.8626 data: 0.0003 max mem: 29859 [23:47:51.828058] Epoch: [216] [380/850] eta: 0:06:49 lr: 0.002095 loss: 0.0196 (0.0208) loss_rec_all: 0.0559 (0.0570) loss_rec_sfr: 0.0568 (0.0803) loss_cl: -0.3669 (-0.3673) time: 0.8622 data: 0.0003 max mem: 29859 [23:48:09.084352] Epoch: [216] [400/850] eta: 0:06:32 lr: 0.002095 loss: 0.0211 (0.0208) loss_rec_all: 0.0572 (0.0570) loss_rec_sfr: 0.0671 (0.0802) loss_cl: -0.3669 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [23:48:26.305645] Epoch: [216] [420/850] eta: 0:06:14 lr: 0.002095 loss: 0.0207 (0.0209) loss_rec_all: 0.0569 (0.0570) loss_rec_sfr: 0.0821 (0.0802) loss_cl: -0.3667 (-0.3673) time: 0.8609 data: 0.0002 max mem: 29859 [23:48:43.582473] Epoch: [216] [440/850] eta: 0:05:56 lr: 0.002094 loss: 0.0201 (0.0209) loss_rec_all: 0.0562 (0.0571) loss_rec_sfr: 0.0682 (0.0800) loss_cl: -0.3666 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [23:49:00.798242] Epoch: [216] [460/850] eta: 0:05:39 lr: 0.002094 loss: 0.0219 (0.0210) loss_rec_all: 0.0578 (0.0572) loss_rec_sfr: 0.0900 (0.0807) loss_cl: -0.3670 (-0.3673) time: 0.8607 data: 0.0002 max mem: 29859 [23:49:18.075177] Epoch: [216] [480/850] eta: 0:05:21 lr: 0.002094 loss: 0.0213 (0.0210) loss_rec_all: 0.0573 (0.0572) loss_rec_sfr: 0.0937 (0.0813) loss_cl: -0.3673 (-0.3672) time: 0.8638 data: 0.0003 max mem: 29859 [23:49:35.293060] Epoch: [216] [500/850] eta: 0:05:04 lr: 0.002094 loss: 0.0206 (0.0211) loss_rec_all: 0.0569 (0.0572) loss_rec_sfr: 0.0871 (0.0817) loss_cl: -0.3675 (-0.3673) time: 0.8608 data: 0.0002 max mem: 29859 [23:49:52.570980] Epoch: [216] [520/850] eta: 0:04:46 lr: 0.002094 loss: 0.0200 (0.0211) loss_rec_all: 0.0564 (0.0572) loss_rec_sfr: 0.0645 (0.0815) loss_cl: -0.3678 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [23:50:09.836434] Epoch: [216] [540/850] eta: 0:04:29 lr: 0.002094 loss: 0.0199 (0.0211) loss_rec_all: 0.0564 (0.0572) loss_rec_sfr: 0.0601 (0.0813) loss_cl: -0.3684 (-0.3673) time: 0.8632 data: 0.0003 max mem: 29859 [23:50:27.119275] Epoch: [216] [560/850] eta: 0:04:11 lr: 0.002094 loss: 0.0220 (0.0211) loss_rec_all: 0.0583 (0.0573) loss_rec_sfr: 0.0892 (0.0815) loss_cl: -0.3680 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [23:50:44.345397] Epoch: [216] [580/850] eta: 0:03:54 lr: 0.002094 loss: 0.0203 (0.0212) loss_rec_all: 0.0567 (0.0573) loss_rec_sfr: 0.0613 (0.0812) loss_cl: -0.3676 (-0.3674) time: 0.8612 data: 0.0002 max mem: 29859 [23:51:01.669361] Epoch: [216] [600/850] eta: 0:03:37 lr: 0.002094 loss: 0.0214 (0.0212) loss_rec_all: 0.0577 (0.0573) loss_rec_sfr: 0.0618 (0.0812) loss_cl: -0.3672 (-0.3673) time: 0.8661 data: 0.0003 max mem: 29859 [23:51:18.893374] Epoch: [216] [620/850] eta: 0:03:19 lr: 0.002094 loss: 0.0203 (0.0212) loss_rec_all: 0.0566 (0.0573) loss_rec_sfr: 0.0598 (0.0810) loss_cl: -0.3668 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [23:51:36.144482] Epoch: [216] [640/850] eta: 0:03:02 lr: 0.002094 loss: 0.0199 (0.0212) loss_rec_all: 0.0560 (0.0573) loss_rec_sfr: 0.0643 (0.0811) loss_cl: -0.3670 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [23:51:53.396816] Epoch: [216] [660/850] eta: 0:02:44 lr: 0.002094 loss: 0.0211 (0.0212) loss_rec_all: 0.0571 (0.0574) loss_rec_sfr: 0.0834 (0.0810) loss_cl: -0.3666 (-0.3673) time: 0.8626 data: 0.0003 max mem: 29859 [23:52:10.648127] Epoch: [216] [680/850] eta: 0:02:27 lr: 0.002094 loss: 0.0202 (0.0212) loss_rec_all: 0.0562 (0.0574) loss_rec_sfr: 0.0860 (0.0811) loss_cl: -0.3668 (-0.3673) time: 0.8625 data: 0.0003 max mem: 29859 [23:52:27.901456] Epoch: [216] [700/850] eta: 0:02:10 lr: 0.002093 loss: 0.0221 (0.0213) loss_rec_all: 0.0580 (0.0574) loss_rec_sfr: 0.0993 (0.0815) loss_cl: -0.3676 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [23:52:45.153116] Epoch: [216] [720/850] eta: 0:01:52 lr: 0.002093 loss: 0.0211 (0.0213) loss_rec_all: 0.0575 (0.0575) loss_rec_sfr: 0.0894 (0.0818) loss_cl: -0.3684 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [23:53:02.397910] Epoch: [216] [740/850] eta: 0:01:35 lr: 0.002093 loss: 0.0233 (0.0213) loss_rec_all: 0.0593 (0.0575) loss_rec_sfr: 0.0920 (0.0821) loss_cl: -0.3674 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [23:53:19.669225] Epoch: [216] [760/850] eta: 0:01:18 lr: 0.002093 loss: 0.0223 (0.0214) loss_rec_all: 0.0584 (0.0575) loss_rec_sfr: 0.0854 (0.0822) loss_cl: -0.3674 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [23:53:36.893535] Epoch: [216] [780/850] eta: 0:01:00 lr: 0.002093 loss: 0.0212 (0.0214) loss_rec_all: 0.0574 (0.0575) loss_rec_sfr: 0.0675 (0.0821) loss_cl: -0.3666 (-0.3673) time: 0.8612 data: 0.0003 max mem: 29859 [23:53:54.184854] Epoch: [216] [800/850] eta: 0:00:43 lr: 0.002093 loss: 0.0197 (0.0214) loss_rec_all: 0.0558 (0.0575) loss_rec_sfr: 0.0618 (0.0820) loss_cl: -0.3668 (-0.3673) time: 0.8645 data: 0.0003 max mem: 29859 [23:54:11.401352] Epoch: [216] [820/850] eta: 0:00:26 lr: 0.002093 loss: 0.0209 (0.0214) loss_rec_all: 0.0568 (0.0575) loss_rec_sfr: 0.0806 (0.0819) loss_cl: -0.3674 (-0.3673) time: 0.8608 data: 0.0002 max mem: 29859 [23:54:28.685264] Epoch: [216] [840/850] eta: 0:00:08 lr: 0.002093 loss: 0.0202 (0.0213) loss_rec_all: 0.0562 (0.0575) loss_rec_sfr: 0.0821 (0.0819) loss_cl: -0.3675 (-0.3673) time: 0.8641 data: 0.0005 max mem: 29859 [23:54:36.431270] Epoch: [216] [849/850] eta: 0:00:00 lr: 0.002093 loss: 0.0199 (0.0213) loss_rec_all: 0.0562 (0.0575) loss_rec_sfr: 0.0843 (0.0819) loss_cl: -0.3674 (-0.3673) time: 0.8637 data: 0.0005 max mem: 29859 [23:54:36.580383] Epoch: [216] Total time: 0:12:16 (0.8670 s / it) [23:54:36.583195] Averaged stats: lr: 0.002093 loss: 0.0199 (0.0212) loss_rec_all: 0.0562 (0.0574) loss_rec_sfr: 0.0843 (0.0811) loss_cl: -0.3674 (-0.3673) [23:54:36.597305] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [23:54:41.133746] Epoch: [217] [ 0/850] eta: 1:04:15 lr: 0.002093 loss: 0.0178 (0.0178) loss_rec_all: 0.0542 (0.0542) loss_rec_sfr: 0.0607 (0.0607) loss_cl: -0.3679 (-0.3679) time: 4.5355 data: 3.6825 max mem: 29859 [23:54:58.312949] Epoch: [217] [ 20/850] eta: 0:14:18 lr: 0.002093 loss: 0.0186 (0.0194) loss_rec_all: 0.0550 (0.0557) loss_rec_sfr: 0.0565 (0.0689) loss_cl: -0.3675 (-0.3675) time: 0.8589 data: 0.0002 max mem: 29859 [23:55:15.546327] Epoch: [217] [ 40/850] eta: 0:12:49 lr: 0.002093 loss: 0.0204 (0.0200) loss_rec_all: 0.0566 (0.0562) loss_rec_sfr: 0.0786 (0.0766) loss_cl: -0.3677 (-0.3675) time: 0.8616 data: 0.0002 max mem: 29859 [23:55:32.755102] Epoch: [217] [ 60/850] eta: 0:12:07 lr: 0.002093 loss: 0.0204 (0.0204) loss_rec_all: 0.0562 (0.0565) loss_rec_sfr: 0.0677 (0.0786) loss_cl: -0.3672 (-0.3674) time: 0.8604 data: 0.0002 max mem: 29859 [23:55:50.092827] Epoch: [217] [ 80/850] eta: 0:11:38 lr: 0.002093 loss: 0.0203 (0.0206) loss_rec_all: 0.0564 (0.0567) loss_rec_sfr: 0.0733 (0.0798) loss_cl: -0.3671 (-0.3674) time: 0.8668 data: 0.0006 max mem: 29859 [23:56:07.356066] Epoch: [217] [100/850] eta: 0:11:13 lr: 0.002093 loss: 0.0205 (0.0206) loss_rec_all: 0.0567 (0.0568) loss_rec_sfr: 0.0585 (0.0789) loss_cl: -0.3672 (-0.3674) time: 0.8631 data: 0.0003 max mem: 29859 [23:56:24.616911] Epoch: [217] [120/850] eta: 0:10:51 lr: 0.002092 loss: 0.0208 (0.0208) loss_rec_all: 0.0567 (0.0570) loss_rec_sfr: 0.0702 (0.0789) loss_cl: -0.3670 (-0.3673) time: 0.8630 data: 0.0003 max mem: 29859 [23:56:41.878334] Epoch: [217] [140/850] eta: 0:10:30 lr: 0.002092 loss: 0.0200 (0.0209) loss_rec_all: 0.0563 (0.0571) loss_rec_sfr: 0.0842 (0.0803) loss_cl: -0.3671 (-0.3673) time: 0.8630 data: 0.0010 max mem: 29859 [23:56:59.130010] Epoch: [217] [160/850] eta: 0:10:10 lr: 0.002092 loss: 0.0222 (0.0211) loss_rec_all: 0.0581 (0.0573) loss_rec_sfr: 0.0848 (0.0812) loss_cl: -0.3674 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [23:57:16.365948] Epoch: [217] [180/850] eta: 0:09:51 lr: 0.002092 loss: 0.0206 (0.0212) loss_rec_all: 0.0565 (0.0573) loss_rec_sfr: 0.0872 (0.0820) loss_cl: -0.3677 (-0.3673) time: 0.8617 data: 0.0003 max mem: 29859 [23:57:33.613283] Epoch: [217] [200/850] eta: 0:09:32 lr: 0.002092 loss: 0.0194 (0.0210) loss_rec_all: 0.0555 (0.0572) loss_rec_sfr: 0.0686 (0.0816) loss_cl: -0.3676 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [23:57:50.849080] Epoch: [217] [220/850] eta: 0:09:13 lr: 0.002092 loss: 0.0194 (0.0210) loss_rec_all: 0.0557 (0.0571) loss_rec_sfr: 0.0634 (0.0811) loss_cl: -0.3675 (-0.3673) time: 0.8617 data: 0.0003 max mem: 29859 [23:58:08.101908] Epoch: [217] [240/850] eta: 0:08:55 lr: 0.002092 loss: 0.0187 (0.0209) loss_rec_all: 0.0550 (0.0571) loss_rec_sfr: 0.0805 (0.0807) loss_cl: -0.3672 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [23:58:25.316394] Epoch: [217] [260/850] eta: 0:08:36 lr: 0.002092 loss: 0.0200 (0.0208) loss_rec_all: 0.0561 (0.0570) loss_rec_sfr: 0.0840 (0.0810) loss_cl: -0.3672 (-0.3673) time: 0.8607 data: 0.0003 max mem: 29859 [23:58:42.601444] Epoch: [217] [280/850] eta: 0:08:18 lr: 0.002092 loss: 0.0203 (0.0208) loss_rec_all: 0.0563 (0.0570) loss_rec_sfr: 0.0810 (0.0809) loss_cl: -0.3673 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [23:58:59.811352] Epoch: [217] [300/850] eta: 0:08:00 lr: 0.002092 loss: 0.0202 (0.0208) loss_rec_all: 0.0566 (0.0570) loss_rec_sfr: 0.0626 (0.0809) loss_cl: -0.3672 (-0.3673) time: 0.8604 data: 0.0002 max mem: 29859 [23:59:17.150267] Epoch: [217] [320/850] eta: 0:07:43 lr: 0.002092 loss: 0.0204 (0.0208) loss_rec_all: 0.0563 (0.0570) loss_rec_sfr: 0.0611 (0.0809) loss_cl: -0.3673 (-0.3673) time: 0.8669 data: 0.0003 max mem: 29859 [23:59:34.404864] Epoch: [217] [340/850] eta: 0:07:25 lr: 0.002092 loss: 0.0199 (0.0208) loss_rec_all: 0.0561 (0.0570) loss_rec_sfr: 0.0651 (0.0806) loss_cl: -0.3675 (-0.3673) time: 0.8626 data: 0.0003 max mem: 29859 [23:59:51.678188] Epoch: [217] [360/850] eta: 0:07:07 lr: 0.002091 loss: 0.0204 (0.0208) loss_rec_all: 0.0563 (0.0570) loss_rec_sfr: 0.0651 (0.0805) loss_cl: -0.3670 (-0.3673) time: 0.8636 data: 0.0006 max mem: 29859 [00:00:08.932599] Epoch: [217] [380/850] eta: 0:06:49 lr: 0.002091 loss: 0.0201 (0.0208) loss_rec_all: 0.0565 (0.0570) loss_rec_sfr: 0.0646 (0.0803) loss_cl: -0.3668 (-0.3673) time: 0.8626 data: 0.0003 max mem: 29859 [00:00:26.273501] Epoch: [217] [400/850] eta: 0:06:32 lr: 0.002091 loss: 0.0204 (0.0209) loss_rec_all: 0.0567 (0.0570) loss_rec_sfr: 0.0860 (0.0807) loss_cl: -0.3672 (-0.3673) time: 0.8670 data: 0.0004 max mem: 29859 [00:00:43.484951] Epoch: [217] [420/850] eta: 0:06:14 lr: 0.002091 loss: 0.0202 (0.0209) loss_rec_all: 0.0562 (0.0570) loss_rec_sfr: 0.0866 (0.0809) loss_cl: -0.3679 (-0.3673) time: 0.8605 data: 0.0002 max mem: 29859 [00:01:00.754723] Epoch: [217] [440/850] eta: 0:05:57 lr: 0.002091 loss: 0.0193 (0.0208) loss_rec_all: 0.0558 (0.0570) loss_rec_sfr: 0.0595 (0.0808) loss_cl: -0.3675 (-0.3673) time: 0.8634 data: 0.0003 max mem: 29859 [00:01:18.052070] Epoch: [217] [460/850] eta: 0:05:39 lr: 0.002091 loss: 0.0214 (0.0209) loss_rec_all: 0.0575 (0.0570) loss_rec_sfr: 0.0942 (0.0813) loss_cl: -0.3680 (-0.3673) time: 0.8648 data: 0.0003 max mem: 29859 [00:01:35.325468] Epoch: [217] [480/850] eta: 0:05:22 lr: 0.002091 loss: 0.0208 (0.0209) loss_rec_all: 0.0572 (0.0571) loss_rec_sfr: 0.0593 (0.0810) loss_cl: -0.3675 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [00:01:52.542197] Epoch: [217] [500/850] eta: 0:05:04 lr: 0.002091 loss: 0.0201 (0.0209) loss_rec_all: 0.0564 (0.0571) loss_rec_sfr: 0.0620 (0.0807) loss_cl: -0.3676 (-0.3674) time: 0.8608 data: 0.0002 max mem: 29859 [00:02:09.869243] Epoch: [217] [520/850] eta: 0:04:47 lr: 0.002091 loss: 0.0197 (0.0209) loss_rec_all: 0.0559 (0.0570) loss_rec_sfr: 0.0635 (0.0807) loss_cl: -0.3670 (-0.3673) time: 0.8663 data: 0.0003 max mem: 29859 [00:02:27.216795] Epoch: [217] [540/850] eta: 0:04:29 lr: 0.002091 loss: 0.0190 (0.0208) loss_rec_all: 0.0552 (0.0570) loss_rec_sfr: 0.0601 (0.0805) loss_cl: -0.3668 (-0.3673) time: 0.8673 data: 0.0003 max mem: 29859 [00:02:44.462107] Epoch: [217] [560/850] eta: 0:04:12 lr: 0.002091 loss: 0.0206 (0.0209) loss_rec_all: 0.0565 (0.0570) loss_rec_sfr: 0.0863 (0.0807) loss_cl: -0.3667 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [00:03:01.744952] Epoch: [217] [580/850] eta: 0:03:54 lr: 0.002091 loss: 0.0224 (0.0210) loss_rec_all: 0.0586 (0.0571) loss_rec_sfr: 0.0853 (0.0809) loss_cl: -0.3672 (-0.3673) time: 0.8641 data: 0.0003 max mem: 29859 [00:03:19.063966] Epoch: [217] [600/850] eta: 0:03:37 lr: 0.002091 loss: 0.0238 (0.0211) loss_rec_all: 0.0599 (0.0573) loss_rec_sfr: 0.0649 (0.0810) loss_cl: -0.3673 (-0.3673) time: 0.8659 data: 0.0002 max mem: 29859 [00:03:36.293917] Epoch: [217] [620/850] eta: 0:03:19 lr: 0.002090 loss: 0.0231 (0.0213) loss_rec_all: 0.0593 (0.0574) loss_rec_sfr: 0.0996 (0.0816) loss_cl: -0.3675 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [00:03:53.610762] Epoch: [217] [640/850] eta: 0:03:02 lr: 0.002090 loss: 0.0235 (0.0213) loss_rec_all: 0.0597 (0.0575) loss_rec_sfr: 0.0706 (0.0819) loss_cl: -0.3678 (-0.3673) time: 0.8658 data: 0.0003 max mem: 29859 [00:04:10.922527] Epoch: [217] [660/850] eta: 0:02:45 lr: 0.002090 loss: 0.0221 (0.0214) loss_rec_all: 0.0581 (0.0575) loss_rec_sfr: 0.0612 (0.0820) loss_cl: -0.3673 (-0.3673) time: 0.8655 data: 0.0004 max mem: 29859 [00:04:28.217704] Epoch: [217] [680/850] eta: 0:02:27 lr: 0.002090 loss: 0.0228 (0.0214) loss_rec_all: 0.0590 (0.0576) loss_rec_sfr: 0.1070 (0.0824) loss_cl: -0.3674 (-0.3673) time: 0.8647 data: 0.0014 max mem: 29859 [00:04:45.530890] Epoch: [217] [700/850] eta: 0:02:10 lr: 0.002090 loss: 0.0202 (0.0214) loss_rec_all: 0.0565 (0.0576) loss_rec_sfr: 0.0851 (0.0824) loss_cl: -0.3676 (-0.3673) time: 0.8656 data: 0.0003 max mem: 29859 [00:05:02.846900] Epoch: [217] [720/850] eta: 0:01:52 lr: 0.002090 loss: 0.0211 (0.0214) loss_rec_all: 0.0574 (0.0576) loss_rec_sfr: 0.0862 (0.0824) loss_cl: -0.3669 (-0.3673) time: 0.8657 data: 0.0003 max mem: 29859 [00:05:20.072622] Epoch: [217] [740/850] eta: 0:01:35 lr: 0.002090 loss: 0.0193 (0.0214) loss_rec_all: 0.0557 (0.0576) loss_rec_sfr: 0.0595 (0.0821) loss_cl: -0.3674 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [00:05:37.324979] Epoch: [217] [760/850] eta: 0:01:18 lr: 0.002090 loss: 0.0205 (0.0214) loss_rec_all: 0.0568 (0.0576) loss_rec_sfr: 0.0854 (0.0821) loss_cl: -0.3675 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [00:05:54.648294] Epoch: [217] [780/850] eta: 0:01:00 lr: 0.002090 loss: 0.0210 (0.0214) loss_rec_all: 0.0571 (0.0576) loss_rec_sfr: 0.0823 (0.0822) loss_cl: -0.3676 (-0.3673) time: 0.8661 data: 0.0003 max mem: 29859 [00:06:11.930389] Epoch: [217] [800/850] eta: 0:00:43 lr: 0.002090 loss: 0.0202 (0.0214) loss_rec_all: 0.0563 (0.0576) loss_rec_sfr: 0.0831 (0.0822) loss_cl: -0.3678 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [00:06:29.167358] Epoch: [217] [820/850] eta: 0:00:26 lr: 0.002090 loss: 0.0208 (0.0214) loss_rec_all: 0.0568 (0.0576) loss_rec_sfr: 0.0852 (0.0823) loss_cl: -0.3680 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [00:06:46.532941] Epoch: [217] [840/850] eta: 0:00:08 lr: 0.002090 loss: 0.0204 (0.0214) loss_rec_all: 0.0565 (0.0576) loss_rec_sfr: 0.1035 (0.0826) loss_cl: -0.3681 (-0.3674) time: 0.8682 data: 0.0011 max mem: 29859 [00:06:54.293687] Epoch: [217] [849/850] eta: 0:00:00 lr: 0.002090 loss: 0.0209 (0.0214) loss_rec_all: 0.0571 (0.0576) loss_rec_sfr: 0.0854 (0.0826) loss_cl: -0.3678 (-0.3674) time: 0.8674 data: 0.0006 max mem: 29859 [00:06:54.458514] Epoch: [217] Total time: 0:12:17 (0.8681 s / it) [00:06:54.460296] Averaged stats: lr: 0.002090 loss: 0.0209 (0.0215) loss_rec_all: 0.0571 (0.0576) loss_rec_sfr: 0.0854 (0.0826) loss_cl: -0.3678 (-0.3673) [00:06:54.471648] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [00:06:58.938518] Epoch: [218] [ 0/850] eta: 1:03:15 lr: 0.002090 loss: 0.0199 (0.0199) loss_rec_all: 0.0562 (0.0562) loss_rec_sfr: 0.0574 (0.0574) loss_cl: -0.3672 (-0.3672) time: 4.4658 data: 3.5711 max mem: 29859 [00:07:16.140124] Epoch: [218] [ 20/850] eta: 0:14:16 lr: 0.002089 loss: 0.0202 (0.0208) loss_rec_all: 0.0565 (0.0570) loss_rec_sfr: 0.0681 (0.0802) loss_cl: -0.3669 (-0.3669) time: 0.8600 data: 0.0003 max mem: 29859 [00:07:33.435665] Epoch: [218] [ 40/850] eta: 0:12:49 lr: 0.002089 loss: 0.0210 (0.0213) loss_rec_all: 0.0569 (0.0574) loss_rec_sfr: 0.0840 (0.0827) loss_cl: -0.3666 (-0.3667) time: 0.8647 data: 0.0004 max mem: 29859 [00:07:50.718619] Epoch: [218] [ 60/850] eta: 0:12:08 lr: 0.002089 loss: 0.0196 (0.0213) loss_rec_all: 0.0559 (0.0574) loss_rec_sfr: 0.0712 (0.0836) loss_cl: -0.3666 (-0.3666) time: 0.8641 data: 0.0004 max mem: 29859 [00:08:08.000322] Epoch: [218] [ 80/850] eta: 0:11:38 lr: 0.002089 loss: 0.0199 (0.0213) loss_rec_all: 0.0558 (0.0574) loss_rec_sfr: 0.0682 (0.0824) loss_cl: -0.3666 (-0.3667) time: 0.8640 data: 0.0010 max mem: 29859 [00:08:25.266818] Epoch: [218] [100/850] eta: 0:11:14 lr: 0.002089 loss: 0.0214 (0.0215) loss_rec_all: 0.0575 (0.0576) loss_rec_sfr: 0.0806 (0.0820) loss_cl: -0.3674 (-0.3668) time: 0.8633 data: 0.0005 max mem: 29859 [00:08:42.624235] Epoch: [218] [120/850] eta: 0:10:52 lr: 0.002089 loss: 0.0193 (0.0213) loss_rec_all: 0.0556 (0.0574) loss_rec_sfr: 0.0651 (0.0821) loss_cl: -0.3673 (-0.3669) time: 0.8678 data: 0.0003 max mem: 29859 [00:08:59.872911] Epoch: [218] [140/850] eta: 0:10:31 lr: 0.002089 loss: 0.0215 (0.0213) loss_rec_all: 0.0576 (0.0574) loss_rec_sfr: 0.0848 (0.0824) loss_cl: -0.3674 (-0.3670) time: 0.8624 data: 0.0002 max mem: 29859 [00:09:17.148515] Epoch: [218] [160/850] eta: 0:10:11 lr: 0.002089 loss: 0.0218 (0.0214) loss_rec_all: 0.0575 (0.0575) loss_rec_sfr: 0.0859 (0.0834) loss_cl: -0.3673 (-0.3670) time: 0.8637 data: 0.0002 max mem: 29859 [00:09:34.423972] Epoch: [218] [180/850] eta: 0:09:52 lr: 0.002089 loss: 0.0197 (0.0213) loss_rec_all: 0.0557 (0.0574) loss_rec_sfr: 0.0676 (0.0827) loss_cl: -0.3665 (-0.3670) time: 0.8637 data: 0.0003 max mem: 29859 [00:09:51.726958] Epoch: [218] [200/850] eta: 0:09:33 lr: 0.002089 loss: 0.0204 (0.0213) loss_rec_all: 0.0565 (0.0574) loss_rec_sfr: 0.0619 (0.0818) loss_cl: -0.3680 (-0.3671) time: 0.8651 data: 0.0003 max mem: 29859 [00:10:08.950623] Epoch: [218] [220/850] eta: 0:09:14 lr: 0.002089 loss: 0.0196 (0.0212) loss_rec_all: 0.0559 (0.0573) loss_rec_sfr: 0.0595 (0.0804) loss_cl: -0.3682 (-0.3672) time: 0.8611 data: 0.0002 max mem: 29859 [00:10:26.298375] Epoch: [218] [240/850] eta: 0:08:56 lr: 0.002089 loss: 0.0197 (0.0211) loss_rec_all: 0.0556 (0.0573) loss_rec_sfr: 0.0807 (0.0807) loss_cl: -0.3677 (-0.3673) time: 0.8673 data: 0.0003 max mem: 29859 [00:10:43.534902] Epoch: [218] [260/850] eta: 0:08:37 lr: 0.002089 loss: 0.0203 (0.0211) loss_rec_all: 0.0564 (0.0573) loss_rec_sfr: 0.0697 (0.0806) loss_cl: -0.3671 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [00:11:00.795913] Epoch: [218] [280/850] eta: 0:08:19 lr: 0.002088 loss: 0.0210 (0.0212) loss_rec_all: 0.0566 (0.0573) loss_rec_sfr: 0.0695 (0.0809) loss_cl: -0.3662 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [00:11:18.070348] Epoch: [218] [300/850] eta: 0:08:01 lr: 0.002088 loss: 0.0201 (0.0212) loss_rec_all: 0.0560 (0.0573) loss_rec_sfr: 0.0900 (0.0815) loss_cl: -0.3664 (-0.3671) time: 0.8636 data: 0.0003 max mem: 29859 [00:11:35.356676] Epoch: [218] [320/850] eta: 0:07:43 lr: 0.002088 loss: 0.0191 (0.0211) loss_rec_all: 0.0552 (0.0572) loss_rec_sfr: 0.0611 (0.0810) loss_cl: -0.3674 (-0.3671) time: 0.8643 data: 0.0002 max mem: 29859 [00:11:52.588405] Epoch: [218] [340/850] eta: 0:07:25 lr: 0.002088 loss: 0.0210 (0.0211) loss_rec_all: 0.0570 (0.0572) loss_rec_sfr: 0.1009 (0.0816) loss_cl: -0.3677 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [00:12:09.926334] Epoch: [218] [360/850] eta: 0:07:08 lr: 0.002088 loss: 0.0197 (0.0210) loss_rec_all: 0.0560 (0.0571) loss_rec_sfr: 0.0584 (0.0809) loss_cl: -0.3678 (-0.3672) time: 0.8668 data: 0.0003 max mem: 29859 [00:12:27.197117] Epoch: [218] [380/850] eta: 0:06:50 lr: 0.002088 loss: 0.0217 (0.0211) loss_rec_all: 0.0576 (0.0572) loss_rec_sfr: 0.0903 (0.0816) loss_cl: -0.3674 (-0.3672) time: 0.8635 data: 0.0003 max mem: 29859 [00:12:44.458687] Epoch: [218] [400/850] eta: 0:06:32 lr: 0.002088 loss: 0.0200 (0.0211) loss_rec_all: 0.0559 (0.0572) loss_rec_sfr: 0.0689 (0.0815) loss_cl: -0.3676 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [00:13:01.714792] Epoch: [218] [420/850] eta: 0:06:15 lr: 0.002088 loss: 0.0206 (0.0211) loss_rec_all: 0.0566 (0.0572) loss_rec_sfr: 0.0780 (0.0816) loss_cl: -0.3673 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [00:13:19.049526] Epoch: [218] [440/850] eta: 0:05:57 lr: 0.002088 loss: 0.0217 (0.0211) loss_rec_all: 0.0576 (0.0573) loss_rec_sfr: 0.0885 (0.0820) loss_cl: -0.3673 (-0.3672) time: 0.8667 data: 0.0004 max mem: 29859 [00:13:36.290451] Epoch: [218] [460/850] eta: 0:05:39 lr: 0.002088 loss: 0.0202 (0.0211) loss_rec_all: 0.0562 (0.0573) loss_rec_sfr: 0.0844 (0.0820) loss_cl: -0.3672 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [00:13:53.584728] Epoch: [218] [480/850] eta: 0:05:22 lr: 0.002088 loss: 0.0199 (0.0211) loss_rec_all: 0.0562 (0.0573) loss_rec_sfr: 0.0718 (0.0820) loss_cl: -0.3673 (-0.3673) time: 0.8646 data: 0.0004 max mem: 29859 [00:14:10.861180] Epoch: [218] [500/850] eta: 0:05:04 lr: 0.002088 loss: 0.0217 (0.0212) loss_rec_all: 0.0580 (0.0573) loss_rec_sfr: 0.0860 (0.0820) loss_cl: -0.3669 (-0.3672) time: 0.8637 data: 0.0005 max mem: 29859 [00:14:28.171794] Epoch: [218] [520/850] eta: 0:04:47 lr: 0.002088 loss: 0.0223 (0.0212) loss_rec_all: 0.0581 (0.0574) loss_rec_sfr: 0.0862 (0.0824) loss_cl: -0.3675 (-0.3673) time: 0.8655 data: 0.0003 max mem: 29859 [00:14:45.393423] Epoch: [218] [540/850] eta: 0:04:29 lr: 0.002087 loss: 0.0212 (0.0212) loss_rec_all: 0.0570 (0.0574) loss_rec_sfr: 0.0736 (0.0825) loss_cl: -0.3672 (-0.3673) time: 0.8610 data: 0.0002 max mem: 29859 [00:15:02.714727] Epoch: [218] [560/850] eta: 0:04:12 lr: 0.002087 loss: 0.0205 (0.0212) loss_rec_all: 0.0567 (0.0574) loss_rec_sfr: 0.0674 (0.0824) loss_cl: -0.3673 (-0.3673) time: 0.8660 data: 0.0002 max mem: 29859 [00:15:19.962382] Epoch: [218] [580/850] eta: 0:03:54 lr: 0.002087 loss: 0.0208 (0.0213) loss_rec_all: 0.0568 (0.0574) loss_rec_sfr: 0.0640 (0.0824) loss_cl: -0.3668 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [00:15:37.212913] Epoch: [218] [600/850] eta: 0:03:37 lr: 0.002087 loss: 0.0209 (0.0213) loss_rec_all: 0.0572 (0.0575) loss_rec_sfr: 0.0595 (0.0821) loss_cl: -0.3670 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [00:15:54.478445] Epoch: [218] [620/850] eta: 0:03:19 lr: 0.002087 loss: 0.0213 (0.0213) loss_rec_all: 0.0575 (0.0574) loss_rec_sfr: 0.0715 (0.0821) loss_cl: -0.3671 (-0.3672) time: 0.8632 data: 0.0003 max mem: 29859 [00:16:11.739602] Epoch: [218] [640/850] eta: 0:03:02 lr: 0.002087 loss: 0.0205 (0.0213) loss_rec_all: 0.0567 (0.0575) loss_rec_sfr: 0.0845 (0.0822) loss_cl: -0.3676 (-0.3672) time: 0.8630 data: 0.0003 max mem: 29859 [00:16:29.012870] Epoch: [218] [660/850] eta: 0:02:45 lr: 0.002087 loss: 0.0214 (0.0213) loss_rec_all: 0.0578 (0.0575) loss_rec_sfr: 0.0650 (0.0821) loss_cl: -0.3678 (-0.3672) time: 0.8636 data: 0.0003 max mem: 29859 [00:16:46.326597] Epoch: [218] [680/850] eta: 0:02:27 lr: 0.002087 loss: 0.0210 (0.0214) loss_rec_all: 0.0571 (0.0575) loss_rec_sfr: 0.0666 (0.0821) loss_cl: -0.3677 (-0.3673) time: 0.8656 data: 0.0003 max mem: 29859 [00:17:03.540908] Epoch: [218] [700/850] eta: 0:02:10 lr: 0.002087 loss: 0.0229 (0.0214) loss_rec_all: 0.0589 (0.0576) loss_rec_sfr: 0.0819 (0.0824) loss_cl: -0.3677 (-0.3673) time: 0.8607 data: 0.0002 max mem: 29859 [00:17:20.825321] Epoch: [218] [720/850] eta: 0:01:52 lr: 0.002087 loss: 0.0205 (0.0214) loss_rec_all: 0.0568 (0.0576) loss_rec_sfr: 0.0646 (0.0824) loss_cl: -0.3671 (-0.3673) time: 0.8642 data: 0.0003 max mem: 29859 [00:17:38.104884] Epoch: [218] [740/850] eta: 0:01:35 lr: 0.002087 loss: 0.0200 (0.0214) loss_rec_all: 0.0563 (0.0575) loss_rec_sfr: 0.0699 (0.0823) loss_cl: -0.3670 (-0.3673) time: 0.8639 data: 0.0004 max mem: 29859 [00:17:55.359292] Epoch: [218] [760/850] eta: 0:01:18 lr: 0.002087 loss: 0.0217 (0.0214) loss_rec_all: 0.0575 (0.0575) loss_rec_sfr: 0.0806 (0.0824) loss_cl: -0.3671 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [00:18:12.575124] Epoch: [218] [780/850] eta: 0:01:00 lr: 0.002087 loss: 0.0215 (0.0214) loss_rec_all: 0.0575 (0.0575) loss_rec_sfr: 0.0831 (0.0825) loss_cl: -0.3674 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [00:18:29.913365] Epoch: [218] [800/850] eta: 0:00:43 lr: 0.002086 loss: 0.0238 (0.0215) loss_rec_all: 0.0597 (0.0576) loss_rec_sfr: 0.0664 (0.0826) loss_cl: -0.3674 (-0.3672) time: 0.8668 data: 0.0003 max mem: 29859 [00:18:47.134804] Epoch: [218] [820/850] eta: 0:00:26 lr: 0.002086 loss: 0.0274 (0.0216) loss_rec_all: 0.0633 (0.0578) loss_rec_sfr: 0.0983 (0.0828) loss_cl: -0.3675 (-0.3673) time: 0.8610 data: 0.0003 max mem: 29859 [00:19:04.416597] Epoch: [218] [840/850] eta: 0:00:08 lr: 0.002086 loss: 0.0278 (0.0218) loss_rec_all: 0.0640 (0.0579) loss_rec_sfr: 0.0744 (0.0830) loss_cl: -0.3675 (-0.3673) time: 0.8640 data: 0.0005 max mem: 29859 [00:19:12.182407] Epoch: [218] [849/850] eta: 0:00:00 lr: 0.002086 loss: 0.0273 (0.0218) loss_rec_all: 0.0635 (0.0580) loss_rec_sfr: 0.1144 (0.0833) loss_cl: -0.3675 (-0.3673) time: 0.8641 data: 0.0005 max mem: 29859 [00:19:12.314125] Epoch: [218] Total time: 0:12:17 (0.8680 s / it) [00:19:12.319740] Averaged stats: lr: 0.002086 loss: 0.0273 (0.0219) loss_rec_all: 0.0635 (0.0580) loss_rec_sfr: 0.1144 (0.0833) loss_cl: -0.3675 (-0.3673) [00:19:12.339188] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [00:19:17.367928] Epoch: [219] [ 0/850] eta: 1:11:12 lr: 0.002086 loss: 0.0243 (0.0243) loss_rec_all: 0.0605 (0.0605) loss_rec_sfr: 0.0721 (0.0721) loss_cl: -0.3674 (-0.3674) time: 5.0266 data: 4.1518 max mem: 29859 [00:19:34.595155] Epoch: [219] [ 20/850] eta: 0:14:39 lr: 0.002086 loss: 0.0246 (0.0257) loss_rec_all: 0.0606 (0.0617) loss_rec_sfr: 0.0691 (0.0837) loss_cl: -0.3668 (-0.3667) time: 0.8613 data: 0.0003 max mem: 29859 [00:19:51.868235] Epoch: [219] [ 40/850] eta: 0:13:00 lr: 0.002086 loss: 0.0234 (0.0250) loss_rec_all: 0.0594 (0.0610) loss_rec_sfr: 0.1015 (0.0888) loss_cl: -0.3671 (-0.3668) time: 0.8636 data: 0.0015 max mem: 29859 [00:20:09.115613] Epoch: [219] [ 60/850] eta: 0:12:15 lr: 0.002086 loss: 0.0226 (0.0244) loss_rec_all: 0.0589 (0.0605) loss_rec_sfr: 0.0738 (0.0870) loss_cl: -0.3680 (-0.3671) time: 0.8623 data: 0.0003 max mem: 29859 [00:20:26.370324] Epoch: [219] [ 80/850] eta: 0:11:43 lr: 0.002086 loss: 0.0212 (0.0238) loss_rec_all: 0.0572 (0.0599) loss_rec_sfr: 0.0832 (0.0862) loss_cl: -0.3684 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [00:20:43.581092] Epoch: [219] [100/850] eta: 0:11:17 lr: 0.002086 loss: 0.0220 (0.0235) loss_rec_all: 0.0578 (0.0596) loss_rec_sfr: 0.0965 (0.0878) loss_cl: -0.3670 (-0.3674) time: 0.8605 data: 0.0002 max mem: 29859 [00:21:00.851104] Epoch: [219] [120/850] eta: 0:10:54 lr: 0.002086 loss: 0.0202 (0.0230) loss_rec_all: 0.0564 (0.0591) loss_rec_sfr: 0.0631 (0.0861) loss_cl: -0.3668 (-0.3673) time: 0.8635 data: 0.0003 max mem: 29859 [00:21:18.065322] Epoch: [219] [140/850] eta: 0:10:33 lr: 0.002086 loss: 0.0205 (0.0227) loss_rec_all: 0.0567 (0.0589) loss_rec_sfr: 0.0884 (0.0865) loss_cl: -0.3660 (-0.3671) time: 0.8607 data: 0.0002 max mem: 29859 [00:21:35.355275] Epoch: [219] [160/850] eta: 0:10:12 lr: 0.002086 loss: 0.0195 (0.0224) loss_rec_all: 0.0557 (0.0586) loss_rec_sfr: 0.0558 (0.0847) loss_cl: -0.3665 (-0.3670) time: 0.8644 data: 0.0002 max mem: 29859 [00:21:52.578685] Epoch: [219] [180/850] eta: 0:09:53 lr: 0.002086 loss: 0.0220 (0.0224) loss_rec_all: 0.0581 (0.0585) loss_rec_sfr: 0.0823 (0.0844) loss_cl: -0.3672 (-0.3670) time: 0.8611 data: 0.0002 max mem: 29859 [00:22:09.864969] Epoch: [219] [200/850] eta: 0:09:34 lr: 0.002085 loss: 0.0201 (0.0222) loss_rec_all: 0.0560 (0.0583) loss_rec_sfr: 0.0987 (0.0850) loss_cl: -0.3678 (-0.3671) time: 0.8642 data: 0.0002 max mem: 29859 [00:22:27.098198] Epoch: [219] [220/850] eta: 0:09:15 lr: 0.002085 loss: 0.0191 (0.0220) loss_rec_all: 0.0554 (0.0581) loss_rec_sfr: 0.0574 (0.0837) loss_cl: -0.3677 (-0.3671) time: 0.8616 data: 0.0003 max mem: 29859 [00:22:44.342952] Epoch: [219] [240/850] eta: 0:08:56 lr: 0.002085 loss: 0.0205 (0.0220) loss_rec_all: 0.0567 (0.0581) loss_rec_sfr: 0.0797 (0.0835) loss_cl: -0.3672 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [00:23:01.591283] Epoch: [219] [260/850] eta: 0:08:38 lr: 0.002085 loss: 0.0191 (0.0218) loss_rec_all: 0.0552 (0.0579) loss_rec_sfr: 0.0628 (0.0827) loss_cl: -0.3669 (-0.3671) time: 0.8624 data: 0.0003 max mem: 29859 [00:23:18.850337] Epoch: [219] [280/850] eta: 0:08:20 lr: 0.002085 loss: 0.0202 (0.0217) loss_rec_all: 0.0563 (0.0579) loss_rec_sfr: 0.0649 (0.0822) loss_cl: -0.3676 (-0.3671) time: 0.8629 data: 0.0002 max mem: 29859 [00:23:36.109957] Epoch: [219] [300/850] eta: 0:08:01 lr: 0.002085 loss: 0.0196 (0.0216) loss_rec_all: 0.0558 (0.0578) loss_rec_sfr: 0.0649 (0.0821) loss_cl: -0.3681 (-0.3672) time: 0.8629 data: 0.0003 max mem: 29859 [00:23:53.374221] Epoch: [219] [320/850] eta: 0:07:43 lr: 0.002085 loss: 0.0193 (0.0215) loss_rec_all: 0.0557 (0.0577) loss_rec_sfr: 0.0655 (0.0816) loss_cl: -0.3683 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [00:24:10.616234] Epoch: [219] [340/850] eta: 0:07:26 lr: 0.002085 loss: 0.0191 (0.0214) loss_rec_all: 0.0553 (0.0576) loss_rec_sfr: 0.0602 (0.0810) loss_cl: -0.3677 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [00:24:27.970810] Epoch: [219] [360/850] eta: 0:07:08 lr: 0.002085 loss: 0.0207 (0.0214) loss_rec_all: 0.0568 (0.0576) loss_rec_sfr: 0.0685 (0.0810) loss_cl: -0.3667 (-0.3673) time: 0.8676 data: 0.0004 max mem: 29859 [00:24:45.211616] Epoch: [219] [380/850] eta: 0:06:50 lr: 0.002085 loss: 0.0208 (0.0214) loss_rec_all: 0.0568 (0.0575) loss_rec_sfr: 0.0833 (0.0809) loss_cl: -0.3667 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [00:25:02.468091] Epoch: [219] [400/850] eta: 0:06:32 lr: 0.002085 loss: 0.0190 (0.0213) loss_rec_all: 0.0553 (0.0575) loss_rec_sfr: 0.0614 (0.0806) loss_cl: -0.3661 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [00:25:19.728614] Epoch: [219] [420/850] eta: 0:06:15 lr: 0.002085 loss: 0.0190 (0.0213) loss_rec_all: 0.0553 (0.0574) loss_rec_sfr: 0.0847 (0.0809) loss_cl: -0.3669 (-0.3672) time: 0.8629 data: 0.0003 max mem: 29859 [00:25:37.043129] Epoch: [219] [440/850] eta: 0:05:57 lr: 0.002084 loss: 0.0205 (0.0213) loss_rec_all: 0.0569 (0.0574) loss_rec_sfr: 0.0653 (0.0809) loss_cl: -0.3680 (-0.3672) time: 0.8657 data: 0.0003 max mem: 29859 [00:25:54.254567] Epoch: [219] [460/850] eta: 0:05:39 lr: 0.002084 loss: 0.0208 (0.0213) loss_rec_all: 0.0569 (0.0574) loss_rec_sfr: 0.0872 (0.0810) loss_cl: -0.3677 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [00:26:11.551703] Epoch: [219] [480/850] eta: 0:05:22 lr: 0.002084 loss: 0.0215 (0.0213) loss_rec_all: 0.0578 (0.0575) loss_rec_sfr: 0.0629 (0.0809) loss_cl: -0.3674 (-0.3672) time: 0.8648 data: 0.0003 max mem: 29859 [00:26:28.821885] Epoch: [219] [500/850] eta: 0:05:04 lr: 0.002084 loss: 0.0227 (0.0214) loss_rec_all: 0.0586 (0.0576) loss_rec_sfr: 0.0885 (0.0811) loss_cl: -0.3673 (-0.3672) time: 0.8634 data: 0.0003 max mem: 29859 [00:26:46.058410] Epoch: [219] [520/850] eta: 0:04:47 lr: 0.002084 loss: 0.0211 (0.0215) loss_rec_all: 0.0572 (0.0576) loss_rec_sfr: 0.0644 (0.0809) loss_cl: -0.3670 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [00:27:03.282492] Epoch: [219] [540/850] eta: 0:04:29 lr: 0.002084 loss: 0.0206 (0.0214) loss_rec_all: 0.0570 (0.0576) loss_rec_sfr: 0.0589 (0.0808) loss_cl: -0.3672 (-0.3672) time: 0.8611 data: 0.0003 max mem: 29859 [00:27:20.614858] Epoch: [219] [560/850] eta: 0:04:12 lr: 0.002084 loss: 0.0206 (0.0214) loss_rec_all: 0.0569 (0.0576) loss_rec_sfr: 0.0700 (0.0808) loss_cl: -0.3671 (-0.3672) time: 0.8665 data: 0.0004 max mem: 29859 [00:27:37.820733] Epoch: [219] [580/850] eta: 0:03:54 lr: 0.002084 loss: 0.0200 (0.0214) loss_rec_all: 0.0563 (0.0576) loss_rec_sfr: 0.0633 (0.0810) loss_cl: -0.3676 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [00:27:55.076323] Epoch: [219] [600/850] eta: 0:03:37 lr: 0.002084 loss: 0.0207 (0.0214) loss_rec_all: 0.0571 (0.0576) loss_rec_sfr: 0.0682 (0.0807) loss_cl: -0.3674 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [00:28:12.375969] Epoch: [219] [620/850] eta: 0:03:19 lr: 0.002084 loss: 0.0191 (0.0214) loss_rec_all: 0.0555 (0.0575) loss_rec_sfr: 0.0641 (0.0805) loss_cl: -0.3679 (-0.3672) time: 0.8649 data: 0.0004 max mem: 29859 [00:28:29.628850] Epoch: [219] [640/850] eta: 0:03:02 lr: 0.002084 loss: 0.0198 (0.0214) loss_rec_all: 0.0562 (0.0575) loss_rec_sfr: 0.0857 (0.0807) loss_cl: -0.3682 (-0.3673) time: 0.8626 data: 0.0003 max mem: 29859 [00:28:46.844600] Epoch: [219] [660/850] eta: 0:02:45 lr: 0.002084 loss: 0.0217 (0.0214) loss_rec_all: 0.0578 (0.0575) loss_rec_sfr: 0.0830 (0.0806) loss_cl: -0.3675 (-0.3673) time: 0.8607 data: 0.0002 max mem: 29859 [00:29:04.154328] Epoch: [219] [680/850] eta: 0:02:27 lr: 0.002084 loss: 0.0203 (0.0214) loss_rec_all: 0.0566 (0.0576) loss_rec_sfr: 0.0857 (0.0807) loss_cl: -0.3676 (-0.3673) time: 0.8654 data: 0.0004 max mem: 29859 [00:29:21.336768] Epoch: [219] [700/850] eta: 0:02:10 lr: 0.002083 loss: 0.0202 (0.0214) loss_rec_all: 0.0562 (0.0575) loss_rec_sfr: 0.0592 (0.0806) loss_cl: -0.3667 (-0.3673) time: 0.8591 data: 0.0002 max mem: 29859 [00:29:38.610186] Epoch: [219] [720/850] eta: 0:01:52 lr: 0.002083 loss: 0.0196 (0.0213) loss_rec_all: 0.0559 (0.0575) loss_rec_sfr: 0.0626 (0.0806) loss_cl: -0.3665 (-0.3672) time: 0.8636 data: 0.0002 max mem: 29859 [00:29:55.883918] Epoch: [219] [740/850] eta: 0:01:35 lr: 0.002083 loss: 0.0203 (0.0213) loss_rec_all: 0.0564 (0.0575) loss_rec_sfr: 0.0702 (0.0807) loss_cl: -0.3665 (-0.3672) time: 0.8636 data: 0.0003 max mem: 29859 [00:30:13.137858] Epoch: [219] [760/850] eta: 0:01:18 lr: 0.002083 loss: 0.0206 (0.0213) loss_rec_all: 0.0568 (0.0575) loss_rec_sfr: 0.0648 (0.0807) loss_cl: -0.3673 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [00:30:30.390778] Epoch: [219] [780/850] eta: 0:01:00 lr: 0.002083 loss: 0.0202 (0.0213) loss_rec_all: 0.0566 (0.0575) loss_rec_sfr: 0.0634 (0.0806) loss_cl: -0.3674 (-0.3672) time: 0.8626 data: 0.0003 max mem: 29859 [00:30:47.681028] Epoch: [219] [800/850] eta: 0:00:43 lr: 0.002083 loss: 0.0217 (0.0213) loss_rec_all: 0.0575 (0.0575) loss_rec_sfr: 0.0844 (0.0807) loss_cl: -0.3674 (-0.3672) time: 0.8645 data: 0.0003 max mem: 29859 [00:31:04.893000] Epoch: [219] [820/850] eta: 0:00:26 lr: 0.002083 loss: 0.0198 (0.0213) loss_rec_all: 0.0560 (0.0575) loss_rec_sfr: 0.0639 (0.0807) loss_cl: -0.3678 (-0.3673) time: 0.8605 data: 0.0002 max mem: 29859 [00:31:22.193328] Epoch: [219] [840/850] eta: 0:00:08 lr: 0.002083 loss: 0.0190 (0.0213) loss_rec_all: 0.0553 (0.0574) loss_rec_sfr: 0.0609 (0.0805) loss_cl: -0.3678 (-0.3673) time: 0.8650 data: 0.0011 max mem: 29859 [00:31:29.934373] Epoch: [219] [849/850] eta: 0:00:00 lr: 0.002083 loss: 0.0190 (0.0212) loss_rec_all: 0.0553 (0.0574) loss_rec_sfr: 0.0624 (0.0806) loss_cl: -0.3674 (-0.3673) time: 0.8637 data: 0.0007 max mem: 29859 [00:31:30.054261] Epoch: [219] Total time: 0:12:17 (0.8679 s / it) [00:31:30.062478] Averaged stats: lr: 0.002083 loss: 0.0190 (0.0214) loss_rec_all: 0.0553 (0.0575) loss_rec_sfr: 0.0624 (0.0821) loss_cl: -0.3674 (-0.3673) [00:31:30.068031] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [00:31:34.276186] Epoch: [220] [ 0/850] eta: 0:59:36 lr: 0.002083 loss: 0.0204 (0.0204) loss_rec_all: 0.0563 (0.0563) loss_rec_sfr: 0.1247 (0.1247) loss_cl: -0.3677 (-0.3677) time: 4.2074 data: 3.2274 max mem: 29859 [00:31:51.465999] Epoch: [220] [ 20/850] eta: 0:14:05 lr: 0.002083 loss: 0.0195 (0.0202) loss_rec_all: 0.0556 (0.0563) loss_rec_sfr: 0.0817 (0.0821) loss_cl: -0.3670 (-0.3668) time: 0.8594 data: 0.0002 max mem: 29859 [00:32:08.751898] Epoch: [220] [ 40/850] eta: 0:12:44 lr: 0.002083 loss: 0.0185 (0.0197) loss_rec_all: 0.0548 (0.0559) loss_rec_sfr: 0.0630 (0.0774) loss_cl: -0.3667 (-0.3667) time: 0.8642 data: 0.0003 max mem: 29859 [00:32:25.966118] Epoch: [220] [ 60/850] eta: 0:12:03 lr: 0.002083 loss: 0.0206 (0.0199) loss_rec_all: 0.0563 (0.0561) loss_rec_sfr: 0.0840 (0.0806) loss_cl: -0.3668 (-0.3667) time: 0.8606 data: 0.0002 max mem: 29859 [00:32:43.262855] Epoch: [220] [ 80/850] eta: 0:11:35 lr: 0.002083 loss: 0.0222 (0.0208) loss_rec_all: 0.0582 (0.0569) loss_rec_sfr: 0.0894 (0.0829) loss_cl: -0.3671 (-0.3668) time: 0.8648 data: 0.0003 max mem: 29859 [00:33:00.473418] Epoch: [220] [100/850] eta: 0:11:11 lr: 0.002082 loss: 0.0232 (0.0214) loss_rec_all: 0.0594 (0.0575) loss_rec_sfr: 0.0922 (0.0848) loss_cl: -0.3678 (-0.3670) time: 0.8604 data: 0.0002 max mem: 29859 [00:33:17.744811] Epoch: [220] [120/850] eta: 0:10:49 lr: 0.002082 loss: 0.0221 (0.0218) loss_rec_all: 0.0584 (0.0579) loss_rec_sfr: 0.0659 (0.0849) loss_cl: -0.3682 (-0.3672) time: 0.8635 data: 0.0002 max mem: 29859 [00:33:34.952916] Epoch: [220] [140/850] eta: 0:10:28 lr: 0.002082 loss: 0.0211 (0.0219) loss_rec_all: 0.0575 (0.0580) loss_rec_sfr: 0.0656 (0.0850) loss_cl: -0.3681 (-0.3673) time: 0.8604 data: 0.0003 max mem: 29859 [00:33:52.200597] Epoch: [220] [160/850] eta: 0:10:09 lr: 0.002082 loss: 0.0213 (0.0220) loss_rec_all: 0.0574 (0.0581) loss_rec_sfr: 0.0859 (0.0847) loss_cl: -0.3675 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [00:34:09.458737] Epoch: [220] [180/850] eta: 0:09:49 lr: 0.002082 loss: 0.0200 (0.0218) loss_rec_all: 0.0562 (0.0580) loss_rec_sfr: 0.0635 (0.0840) loss_cl: -0.3671 (-0.3673) time: 0.8629 data: 0.0003 max mem: 29859 [00:34:26.706313] Epoch: [220] [200/850] eta: 0:09:31 lr: 0.002082 loss: 0.0193 (0.0217) loss_rec_all: 0.0556 (0.0579) loss_rec_sfr: 0.0629 (0.0837) loss_cl: -0.3671 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [00:34:43.948938] Epoch: [220] [220/850] eta: 0:09:12 lr: 0.002082 loss: 0.0199 (0.0216) loss_rec_all: 0.0558 (0.0577) loss_rec_sfr: 0.0682 (0.0831) loss_cl: -0.3671 (-0.3673) time: 0.8621 data: 0.0003 max mem: 29859 [00:35:01.222887] Epoch: [220] [240/850] eta: 0:08:54 lr: 0.002082 loss: 0.0182 (0.0214) loss_rec_all: 0.0545 (0.0576) loss_rec_sfr: 0.0568 (0.0817) loss_cl: -0.3673 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [00:35:18.440932] Epoch: [220] [260/850] eta: 0:08:36 lr: 0.002082 loss: 0.0197 (0.0213) loss_rec_all: 0.0557 (0.0575) loss_rec_sfr: 0.0828 (0.0816) loss_cl: -0.3672 (-0.3673) time: 0.8609 data: 0.0002 max mem: 29859 [00:35:35.765878] Epoch: [220] [280/850] eta: 0:08:18 lr: 0.002082 loss: 0.0212 (0.0213) loss_rec_all: 0.0573 (0.0575) loss_rec_sfr: 0.0796 (0.0814) loss_cl: -0.3674 (-0.3673) time: 0.8662 data: 0.0003 max mem: 29859 [00:35:53.017472] Epoch: [220] [300/850] eta: 0:08:00 lr: 0.002082 loss: 0.0238 (0.0215) loss_rec_all: 0.0596 (0.0577) loss_rec_sfr: 0.0869 (0.0822) loss_cl: -0.3674 (-0.3673) time: 0.8625 data: 0.0003 max mem: 29859 [00:36:10.276429] Epoch: [220] [320/850] eta: 0:07:42 lr: 0.002082 loss: 0.0216 (0.0216) loss_rec_all: 0.0578 (0.0578) loss_rec_sfr: 0.0825 (0.0822) loss_cl: -0.3672 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [00:36:27.504945] Epoch: [220] [340/850] eta: 0:07:24 lr: 0.002082 loss: 0.0207 (0.0216) loss_rec_all: 0.0570 (0.0577) loss_rec_sfr: 0.0679 (0.0822) loss_cl: -0.3676 (-0.3673) time: 0.8614 data: 0.0003 max mem: 29859 [00:36:44.857200] Epoch: [220] [360/850] eta: 0:07:07 lr: 0.002081 loss: 0.0206 (0.0216) loss_rec_all: 0.0569 (0.0577) loss_rec_sfr: 0.0700 (0.0821) loss_cl: -0.3675 (-0.3673) time: 0.8675 data: 0.0008 max mem: 29859 [00:37:02.084437] Epoch: [220] [380/850] eta: 0:06:49 lr: 0.002081 loss: 0.0208 (0.0215) loss_rec_all: 0.0567 (0.0577) loss_rec_sfr: 0.0827 (0.0824) loss_cl: -0.3676 (-0.3673) time: 0.8613 data: 0.0005 max mem: 29859 [00:37:19.347085] Epoch: [220] [400/850] eta: 0:06:31 lr: 0.002081 loss: 0.0198 (0.0215) loss_rec_all: 0.0561 (0.0577) loss_rec_sfr: 0.0650 (0.0821) loss_cl: -0.3677 (-0.3674) time: 0.8631 data: 0.0003 max mem: 29859 [00:37:36.618684] Epoch: [220] [420/850] eta: 0:06:14 lr: 0.002081 loss: 0.0187 (0.0214) loss_rec_all: 0.0548 (0.0576) loss_rec_sfr: 0.0637 (0.0821) loss_cl: -0.3674 (-0.3674) time: 0.8635 data: 0.0003 max mem: 29859 [00:37:53.879522] Epoch: [220] [440/850] eta: 0:05:56 lr: 0.002081 loss: 0.0191 (0.0213) loss_rec_all: 0.0554 (0.0575) loss_rec_sfr: 0.0580 (0.0815) loss_cl: -0.3672 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [00:38:11.118579] Epoch: [220] [460/850] eta: 0:05:39 lr: 0.002081 loss: 0.0184 (0.0212) loss_rec_all: 0.0548 (0.0574) loss_rec_sfr: 0.0597 (0.0811) loss_cl: -0.3671 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [00:38:28.385806] Epoch: [220] [480/850] eta: 0:05:21 lr: 0.002081 loss: 0.0195 (0.0212) loss_rec_all: 0.0559 (0.0574) loss_rec_sfr: 0.0596 (0.0809) loss_cl: -0.3676 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [00:38:45.645802] Epoch: [220] [500/850] eta: 0:05:04 lr: 0.002081 loss: 0.0194 (0.0211) loss_rec_all: 0.0557 (0.0573) loss_rec_sfr: 0.0617 (0.0805) loss_cl: -0.3674 (-0.3673) time: 0.8629 data: 0.0004 max mem: 29859 [00:39:02.912014] Epoch: [220] [520/850] eta: 0:04:46 lr: 0.002081 loss: 0.0194 (0.0211) loss_rec_all: 0.0556 (0.0573) loss_rec_sfr: 0.0638 (0.0805) loss_cl: -0.3672 (-0.3673) time: 0.8633 data: 0.0003 max mem: 29859 [00:39:20.125298] Epoch: [220] [540/850] eta: 0:04:29 lr: 0.002081 loss: 0.0209 (0.0211) loss_rec_all: 0.0570 (0.0573) loss_rec_sfr: 0.0720 (0.0804) loss_cl: -0.3676 (-0.3673) time: 0.8606 data: 0.0002 max mem: 29859 [00:39:37.375928] Epoch: [220] [560/850] eta: 0:04:11 lr: 0.002081 loss: 0.0196 (0.0211) loss_rec_all: 0.0560 (0.0573) loss_rec_sfr: 0.0575 (0.0802) loss_cl: -0.3679 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [00:39:54.614815] Epoch: [220] [580/850] eta: 0:03:54 lr: 0.002081 loss: 0.0199 (0.0211) loss_rec_all: 0.0559 (0.0573) loss_rec_sfr: 0.0684 (0.0802) loss_cl: -0.3680 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [00:40:11.864949] Epoch: [220] [600/850] eta: 0:03:37 lr: 0.002080 loss: 0.0213 (0.0211) loss_rec_all: 0.0573 (0.0573) loss_rec_sfr: 0.0844 (0.0806) loss_cl: -0.3674 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [00:40:29.077810] Epoch: [220] [620/850] eta: 0:03:19 lr: 0.002080 loss: 0.0201 (0.0211) loss_rec_all: 0.0563 (0.0573) loss_rec_sfr: 0.0574 (0.0804) loss_cl: -0.3669 (-0.3674) time: 0.8606 data: 0.0002 max mem: 29859 [00:40:46.336883] Epoch: [220] [640/850] eta: 0:03:02 lr: 0.002080 loss: 0.0209 (0.0211) loss_rec_all: 0.0567 (0.0573) loss_rec_sfr: 0.0860 (0.0807) loss_cl: -0.3668 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [00:41:03.550938] Epoch: [220] [660/850] eta: 0:02:44 lr: 0.002080 loss: 0.0209 (0.0212) loss_rec_all: 0.0570 (0.0573) loss_rec_sfr: 0.0674 (0.0807) loss_cl: -0.3664 (-0.3673) time: 0.8606 data: 0.0002 max mem: 29859 [00:41:20.815121] Epoch: [220] [680/850] eta: 0:02:27 lr: 0.002080 loss: 0.0206 (0.0212) loss_rec_all: 0.0568 (0.0573) loss_rec_sfr: 0.0857 (0.0809) loss_cl: -0.3669 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [00:41:38.016581] Epoch: [220] [700/850] eta: 0:02:10 lr: 0.002080 loss: 0.0203 (0.0212) loss_rec_all: 0.0565 (0.0573) loss_rec_sfr: 0.0806 (0.0809) loss_cl: -0.3674 (-0.3673) time: 0.8600 data: 0.0002 max mem: 29859 [00:41:55.276213] Epoch: [220] [720/850] eta: 0:01:52 lr: 0.002080 loss: 0.0205 (0.0212) loss_rec_all: 0.0567 (0.0573) loss_rec_sfr: 0.0641 (0.0809) loss_cl: -0.3674 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [00:42:12.486837] Epoch: [220] [740/850] eta: 0:01:35 lr: 0.002080 loss: 0.0205 (0.0212) loss_rec_all: 0.0568 (0.0574) loss_rec_sfr: 0.0634 (0.0807) loss_cl: -0.3675 (-0.3673) time: 0.8605 data: 0.0002 max mem: 29859 [00:42:29.755682] Epoch: [220] [760/850] eta: 0:01:18 lr: 0.002080 loss: 0.0204 (0.0212) loss_rec_all: 0.0564 (0.0574) loss_rec_sfr: 0.0659 (0.0809) loss_cl: -0.3671 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [00:42:46.976489] Epoch: [220] [780/850] eta: 0:01:00 lr: 0.002080 loss: 0.0191 (0.0212) loss_rec_all: 0.0554 (0.0573) loss_rec_sfr: 0.0581 (0.0807) loss_cl: -0.3677 (-0.3673) time: 0.8610 data: 0.0002 max mem: 29859 [00:43:04.247924] Epoch: [220] [800/850] eta: 0:00:43 lr: 0.002080 loss: 0.0205 (0.0212) loss_rec_all: 0.0566 (0.0573) loss_rec_sfr: 0.0843 (0.0809) loss_cl: -0.3676 (-0.3673) time: 0.8635 data: 0.0003 max mem: 29859 [00:43:21.465597] Epoch: [220] [820/850] eta: 0:00:25 lr: 0.002080 loss: 0.0205 (0.0212) loss_rec_all: 0.0566 (0.0573) loss_rec_sfr: 0.0687 (0.0810) loss_cl: -0.3674 (-0.3673) time: 0.8608 data: 0.0002 max mem: 29859 [00:43:38.741732] Epoch: [220] [840/850] eta: 0:00:08 lr: 0.002080 loss: 0.0206 (0.0212) loss_rec_all: 0.0564 (0.0573) loss_rec_sfr: 0.0700 (0.0810) loss_cl: -0.3673 (-0.3673) time: 0.8638 data: 0.0006 max mem: 29859 [00:43:46.481993] Epoch: [220] [849/850] eta: 0:00:00 lr: 0.002080 loss: 0.0198 (0.0211) loss_rec_all: 0.0560 (0.0573) loss_rec_sfr: 0.0712 (0.0810) loss_cl: -0.3672 (-0.3673) time: 0.8631 data: 0.0005 max mem: 29859 [00:43:46.625441] Epoch: [220] Total time: 0:12:16 (0.8665 s / it) [00:43:46.627871] Averaged stats: lr: 0.002080 loss: 0.0198 (0.0211) loss_rec_all: 0.0560 (0.0573) loss_rec_sfr: 0.0712 (0.0812) loss_cl: -0.3672 (-0.3673) [00:43:46.641834] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [00:43:51.177935] Epoch: [221] [ 0/850] eta: 1:04:14 lr: 0.002080 loss: 0.0217 (0.0217) loss_rec_all: 0.0575 (0.0575) loss_rec_sfr: 0.1205 (0.1205) loss_cl: -0.3669 (-0.3669) time: 4.5350 data: 3.6776 max mem: 29859 [00:44:08.389176] Epoch: [221] [ 20/850] eta: 0:14:19 lr: 0.002079 loss: 0.0196 (0.0202) loss_rec_all: 0.0558 (0.0563) loss_rec_sfr: 0.0623 (0.0828) loss_cl: -0.3672 (-0.3673) time: 0.8605 data: 0.0003 max mem: 29859 [00:44:25.651414] Epoch: [221] [ 40/850] eta: 0:12:50 lr: 0.002079 loss: 0.0184 (0.0197) loss_rec_all: 0.0548 (0.0558) loss_rec_sfr: 0.0608 (0.0772) loss_cl: -0.3673 (-0.3671) time: 0.8631 data: 0.0006 max mem: 29859 [00:44:42.858544] Epoch: [221] [ 60/850] eta: 0:12:07 lr: 0.002079 loss: 0.0198 (0.0197) loss_rec_all: 0.0558 (0.0558) loss_rec_sfr: 0.0664 (0.0779) loss_cl: -0.3669 (-0.3670) time: 0.8603 data: 0.0002 max mem: 29859 [00:45:00.111494] Epoch: [221] [ 80/850] eta: 0:11:38 lr: 0.002079 loss: 0.0201 (0.0199) loss_rec_all: 0.0559 (0.0560) loss_rec_sfr: 0.0824 (0.0795) loss_cl: -0.3676 (-0.3671) time: 0.8626 data: 0.0002 max mem: 29859 [00:45:17.314910] Epoch: [221] [100/850] eta: 0:11:13 lr: 0.002079 loss: 0.0203 (0.0200) loss_rec_all: 0.0566 (0.0562) loss_rec_sfr: 0.0820 (0.0809) loss_cl: -0.3669 (-0.3671) time: 0.8601 data: 0.0002 max mem: 29859 [00:45:34.581363] Epoch: [221] [120/850] eta: 0:10:51 lr: 0.002079 loss: 0.0204 (0.0202) loss_rec_all: 0.0567 (0.0564) loss_rec_sfr: 0.0681 (0.0801) loss_cl: -0.3673 (-0.3671) time: 0.8633 data: 0.0003 max mem: 29859 [00:45:51.802242] Epoch: [221] [140/850] eta: 0:10:30 lr: 0.002079 loss: 0.0221 (0.0205) loss_rec_all: 0.0584 (0.0567) loss_rec_sfr: 0.0810 (0.0813) loss_cl: -0.3673 (-0.3671) time: 0.8610 data: 0.0003 max mem: 29859 [00:46:09.052364] Epoch: [221] [160/850] eta: 0:10:10 lr: 0.002079 loss: 0.0198 (0.0206) loss_rec_all: 0.0561 (0.0567) loss_rec_sfr: 0.0624 (0.0802) loss_cl: -0.3675 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [00:46:26.287817] Epoch: [221] [180/850] eta: 0:09:50 lr: 0.002079 loss: 0.0208 (0.0207) loss_rec_all: 0.0572 (0.0569) loss_rec_sfr: 0.0838 (0.0812) loss_cl: -0.3674 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [00:46:43.547864] Epoch: [221] [200/850] eta: 0:09:32 lr: 0.002079 loss: 0.0204 (0.0208) loss_rec_all: 0.0568 (0.0569) loss_rec_sfr: 0.0672 (0.0814) loss_cl: -0.3674 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [00:47:00.754641] Epoch: [221] [220/850] eta: 0:09:13 lr: 0.002079 loss: 0.0226 (0.0211) loss_rec_all: 0.0589 (0.0572) loss_rec_sfr: 0.0891 (0.0821) loss_cl: -0.3670 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [00:47:18.008846] Epoch: [221] [240/850] eta: 0:08:54 lr: 0.002079 loss: 0.0223 (0.0212) loss_rec_all: 0.0584 (0.0573) loss_rec_sfr: 0.0851 (0.0825) loss_cl: -0.3669 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [00:47:35.211762] Epoch: [221] [260/850] eta: 0:08:36 lr: 0.002078 loss: 0.0202 (0.0212) loss_rec_all: 0.0563 (0.0574) loss_rec_sfr: 0.0583 (0.0821) loss_cl: -0.3673 (-0.3672) time: 0.8601 data: 0.0002 max mem: 29859 [00:47:52.473489] Epoch: [221] [280/850] eta: 0:08:18 lr: 0.002078 loss: 0.0211 (0.0213) loss_rec_all: 0.0575 (0.0574) loss_rec_sfr: 0.0613 (0.0816) loss_cl: -0.3674 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [00:48:09.688521] Epoch: [221] [300/850] eta: 0:08:00 lr: 0.002078 loss: 0.0214 (0.0214) loss_rec_all: 0.0577 (0.0575) loss_rec_sfr: 0.0688 (0.0816) loss_cl: -0.3672 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [00:48:26.940430] Epoch: [221] [320/850] eta: 0:07:42 lr: 0.002078 loss: 0.0212 (0.0214) loss_rec_all: 0.0573 (0.0575) loss_rec_sfr: 0.0671 (0.0816) loss_cl: -0.3673 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [00:48:44.224385] Epoch: [221] [340/850] eta: 0:07:25 lr: 0.002078 loss: 0.0202 (0.0214) loss_rec_all: 0.0565 (0.0575) loss_rec_sfr: 0.0720 (0.0816) loss_cl: -0.3672 (-0.3672) time: 0.8641 data: 0.0003 max mem: 29859 [00:49:01.546858] Epoch: [221] [360/850] eta: 0:07:07 lr: 0.002078 loss: 0.0200 (0.0214) loss_rec_all: 0.0564 (0.0575) loss_rec_sfr: 0.0698 (0.0817) loss_cl: -0.3675 (-0.3672) time: 0.8660 data: 0.0004 max mem: 29859 [00:49:18.863838] Epoch: [221] [380/850] eta: 0:06:49 lr: 0.002078 loss: 0.0202 (0.0213) loss_rec_all: 0.0565 (0.0575) loss_rec_sfr: 0.0629 (0.0819) loss_cl: -0.3675 (-0.3672) time: 0.8658 data: 0.0004 max mem: 29859 [00:49:36.120994] Epoch: [221] [400/850] eta: 0:06:32 lr: 0.002078 loss: 0.0212 (0.0213) loss_rec_all: 0.0575 (0.0575) loss_rec_sfr: 0.0737 (0.0819) loss_cl: -0.3675 (-0.3672) time: 0.8628 data: 0.0003 max mem: 29859 [00:49:53.330054] Epoch: [221] [420/850] eta: 0:06:14 lr: 0.002078 loss: 0.0207 (0.0214) loss_rec_all: 0.0569 (0.0575) loss_rec_sfr: 0.0820 (0.0820) loss_cl: -0.3675 (-0.3673) time: 0.8604 data: 0.0003 max mem: 29859 [00:50:10.596967] Epoch: [221] [440/850] eta: 0:05:56 lr: 0.002078 loss: 0.0230 (0.0215) loss_rec_all: 0.0590 (0.0576) loss_rec_sfr: 0.0882 (0.0823) loss_cl: -0.3668 (-0.3672) time: 0.8633 data: 0.0003 max mem: 29859 [00:50:27.802935] Epoch: [221] [460/850] eta: 0:05:39 lr: 0.002078 loss: 0.0207 (0.0214) loss_rec_all: 0.0567 (0.0576) loss_rec_sfr: 0.0642 (0.0824) loss_cl: -0.3667 (-0.3672) time: 0.8602 data: 0.0002 max mem: 29859 [00:50:45.062097] Epoch: [221] [480/850] eta: 0:05:21 lr: 0.002078 loss: 0.0213 (0.0214) loss_rec_all: 0.0571 (0.0576) loss_rec_sfr: 0.0697 (0.0825) loss_cl: -0.3667 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [00:51:02.301483] Epoch: [221] [500/850] eta: 0:05:04 lr: 0.002078 loss: 0.0195 (0.0214) loss_rec_all: 0.0559 (0.0575) loss_rec_sfr: 0.0654 (0.0824) loss_cl: -0.3677 (-0.3672) time: 0.8619 data: 0.0003 max mem: 29859 [00:51:19.551846] Epoch: [221] [520/850] eta: 0:04:46 lr: 0.002077 loss: 0.0208 (0.0214) loss_rec_all: 0.0570 (0.0575) loss_rec_sfr: 0.0817 (0.0825) loss_cl: -0.3682 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [00:51:36.781725] Epoch: [221] [540/850] eta: 0:04:29 lr: 0.002077 loss: 0.0198 (0.0214) loss_rec_all: 0.0559 (0.0575) loss_rec_sfr: 0.0618 (0.0821) loss_cl: -0.3681 (-0.3673) time: 0.8614 data: 0.0003 max mem: 29859 [00:51:54.030757] Epoch: [221] [560/850] eta: 0:04:11 lr: 0.002077 loss: 0.0190 (0.0213) loss_rec_all: 0.0556 (0.0575) loss_rec_sfr: 0.0578 (0.0820) loss_cl: -0.3683 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [00:52:11.353614] Epoch: [221] [580/850] eta: 0:03:54 lr: 0.002077 loss: 0.0213 (0.0213) loss_rec_all: 0.0574 (0.0575) loss_rec_sfr: 0.0878 (0.0823) loss_cl: -0.3671 (-0.3673) time: 0.8661 data: 0.0002 max mem: 29859 [00:52:28.634182] Epoch: [221] [600/850] eta: 0:03:37 lr: 0.002077 loss: 0.0198 (0.0213) loss_rec_all: 0.0559 (0.0574) loss_rec_sfr: 0.0618 (0.0820) loss_cl: -0.3662 (-0.3673) time: 0.8640 data: 0.0003 max mem: 29859 [00:52:45.882255] Epoch: [221] [620/850] eta: 0:03:19 lr: 0.002077 loss: 0.0189 (0.0212) loss_rec_all: 0.0551 (0.0574) loss_rec_sfr: 0.0616 (0.0819) loss_cl: -0.3662 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [00:53:03.149505] Epoch: [221] [640/850] eta: 0:03:02 lr: 0.002077 loss: 0.0200 (0.0212) loss_rec_all: 0.0563 (0.0574) loss_rec_sfr: 0.0610 (0.0817) loss_cl: -0.3667 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [00:53:20.379820] Epoch: [221] [660/850] eta: 0:02:44 lr: 0.002077 loss: 0.0212 (0.0212) loss_rec_all: 0.0572 (0.0574) loss_rec_sfr: 0.0928 (0.0821) loss_cl: -0.3674 (-0.3672) time: 0.8615 data: 0.0003 max mem: 29859 [00:53:37.638525] Epoch: [221] [680/850] eta: 0:02:27 lr: 0.002077 loss: 0.0208 (0.0212) loss_rec_all: 0.0570 (0.0574) loss_rec_sfr: 0.0640 (0.0819) loss_cl: -0.3677 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [00:53:54.872054] Epoch: [221] [700/850] eta: 0:02:10 lr: 0.002077 loss: 0.0195 (0.0212) loss_rec_all: 0.0559 (0.0574) loss_rec_sfr: 0.0564 (0.0817) loss_cl: -0.3680 (-0.3673) time: 0.8616 data: 0.0003 max mem: 29859 [00:54:12.140521] Epoch: [221] [720/850] eta: 0:01:52 lr: 0.002077 loss: 0.0198 (0.0212) loss_rec_all: 0.0560 (0.0574) loss_rec_sfr: 0.0687 (0.0816) loss_cl: -0.3675 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [00:54:29.377367] Epoch: [221] [740/850] eta: 0:01:35 lr: 0.002077 loss: 0.0212 (0.0212) loss_rec_all: 0.0575 (0.0574) loss_rec_sfr: 0.0663 (0.0815) loss_cl: -0.3674 (-0.3673) time: 0.8618 data: 0.0003 max mem: 29859 [00:54:46.705309] Epoch: [221] [760/850] eta: 0:01:18 lr: 0.002076 loss: 0.0209 (0.0212) loss_rec_all: 0.0569 (0.0574) loss_rec_sfr: 0.0837 (0.0816) loss_cl: -0.3670 (-0.3672) time: 0.8663 data: 0.0003 max mem: 29859 [00:55:03.990896] Epoch: [221] [780/850] eta: 0:01:00 lr: 0.002076 loss: 0.0197 (0.0212) loss_rec_all: 0.0560 (0.0574) loss_rec_sfr: 0.0637 (0.0814) loss_cl: -0.3672 (-0.3672) time: 0.8642 data: 0.0005 max mem: 29859 [00:55:21.359720] Epoch: [221] [800/850] eta: 0:00:43 lr: 0.002076 loss: 0.0194 (0.0212) loss_rec_all: 0.0557 (0.0573) loss_rec_sfr: 0.0651 (0.0814) loss_cl: -0.3671 (-0.3672) time: 0.8684 data: 0.0015 max mem: 29859 [00:55:38.579519] Epoch: [221] [820/850] eta: 0:00:26 lr: 0.002076 loss: 0.0218 (0.0212) loss_rec_all: 0.0578 (0.0574) loss_rec_sfr: 0.0910 (0.0818) loss_cl: -0.3674 (-0.3673) time: 0.8609 data: 0.0003 max mem: 29859 [00:55:55.879124] Epoch: [221] [840/850] eta: 0:00:08 lr: 0.002076 loss: 0.0207 (0.0212) loss_rec_all: 0.0571 (0.0574) loss_rec_sfr: 0.0691 (0.0818) loss_cl: -0.3676 (-0.3673) time: 0.8649 data: 0.0005 max mem: 29859 [00:56:03.635015] Epoch: [221] [849/850] eta: 0:00:00 lr: 0.002076 loss: 0.0205 (0.0213) loss_rec_all: 0.0568 (0.0574) loss_rec_sfr: 0.0663 (0.0818) loss_cl: -0.3682 (-0.3673) time: 0.8648 data: 0.0005 max mem: 29859 [00:56:03.783750] Epoch: [221] Total time: 0:12:17 (0.8672 s / it) [00:56:03.786251] Averaged stats: lr: 0.002076 loss: 0.0205 (0.0213) loss_rec_all: 0.0568 (0.0575) loss_rec_sfr: 0.0663 (0.0817) loss_cl: -0.3682 (-0.3673) [00:56:03.799373] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [00:56:08.154020] Epoch: [222] [ 0/850] eta: 1:01:40 lr: 0.002076 loss: 0.0199 (0.0199) loss_rec_all: 0.0563 (0.0563) loss_rec_sfr: 0.0531 (0.0531) loss_cl: -0.3680 (-0.3680) time: 4.3539 data: 3.4998 max mem: 29859 [00:56:25.347124] Epoch: [222] [ 20/850] eta: 0:14:11 lr: 0.002076 loss: 0.0192 (0.0207) loss_rec_all: 0.0556 (0.0570) loss_rec_sfr: 0.0667 (0.0742) loss_cl: -0.3679 (-0.3679) time: 0.8596 data: 0.0002 max mem: 29859 [00:56:42.628187] Epoch: [222] [ 40/850] eta: 0:12:47 lr: 0.002076 loss: 0.0186 (0.0199) loss_rec_all: 0.0547 (0.0562) loss_rec_sfr: 0.0669 (0.0763) loss_cl: -0.3674 (-0.3677) time: 0.8640 data: 0.0003 max mem: 29859 [00:56:59.843046] Epoch: [222] [ 60/850] eta: 0:12:05 lr: 0.002076 loss: 0.0190 (0.0200) loss_rec_all: 0.0553 (0.0562) loss_rec_sfr: 0.0618 (0.0743) loss_cl: -0.3673 (-0.3675) time: 0.8607 data: 0.0002 max mem: 29859 [00:57:17.124638] Epoch: [222] [ 80/850] eta: 0:11:36 lr: 0.002076 loss: 0.0188 (0.0200) loss_rec_all: 0.0553 (0.0562) loss_rec_sfr: 0.0606 (0.0751) loss_cl: -0.3675 (-0.3675) time: 0.8640 data: 0.0003 max mem: 29859 [00:57:34.349135] Epoch: [222] [100/850] eta: 0:11:12 lr: 0.002076 loss: 0.0196 (0.0202) loss_rec_all: 0.0558 (0.0564) loss_rec_sfr: 0.0597 (0.0756) loss_cl: -0.3672 (-0.3675) time: 0.8612 data: 0.0003 max mem: 29859 [00:57:51.611936] Epoch: [222] [120/850] eta: 0:10:50 lr: 0.002076 loss: 0.0198 (0.0203) loss_rec_all: 0.0560 (0.0565) loss_rec_sfr: 0.0814 (0.0765) loss_cl: -0.3668 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [00:58:08.844489] Epoch: [222] [140/850] eta: 0:10:29 lr: 0.002076 loss: 0.0204 (0.0203) loss_rec_all: 0.0564 (0.0565) loss_rec_sfr: 0.0601 (0.0762) loss_cl: -0.3669 (-0.3673) time: 0.8616 data: 0.0003 max mem: 29859 [00:58:26.104919] Epoch: [222] [160/850] eta: 0:10:09 lr: 0.002075 loss: 0.0204 (0.0204) loss_rec_all: 0.0565 (0.0566) loss_rec_sfr: 0.0619 (0.0769) loss_cl: -0.3669 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [00:58:43.353142] Epoch: [222] [180/850] eta: 0:09:50 lr: 0.002075 loss: 0.0194 (0.0204) loss_rec_all: 0.0557 (0.0566) loss_rec_sfr: 0.0617 (0.0768) loss_cl: -0.3676 (-0.3673) time: 0.8624 data: 0.0003 max mem: 29859 [00:59:00.625610] Epoch: [222] [200/850] eta: 0:09:31 lr: 0.002075 loss: 0.0199 (0.0204) loss_rec_all: 0.0558 (0.0565) loss_rec_sfr: 0.0955 (0.0782) loss_cl: -0.3673 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [00:59:17.871490] Epoch: [222] [220/850] eta: 0:09:13 lr: 0.002075 loss: 0.0195 (0.0203) loss_rec_all: 0.0557 (0.0565) loss_rec_sfr: 0.0638 (0.0779) loss_cl: -0.3670 (-0.3673) time: 0.8622 data: 0.0003 max mem: 29859 [00:59:35.152406] Epoch: [222] [240/850] eta: 0:08:54 lr: 0.002075 loss: 0.0215 (0.0205) loss_rec_all: 0.0575 (0.0566) loss_rec_sfr: 0.0875 (0.0786) loss_cl: -0.3669 (-0.3672) time: 0.8640 data: 0.0003 max mem: 29859 [00:59:52.397755] Epoch: [222] [260/850] eta: 0:08:36 lr: 0.002075 loss: 0.0231 (0.0207) loss_rec_all: 0.0591 (0.0568) loss_rec_sfr: 0.1072 (0.0803) loss_cl: -0.3671 (-0.3672) time: 0.8622 data: 0.0003 max mem: 29859 [01:00:09.762426] Epoch: [222] [280/850] eta: 0:08:18 lr: 0.002075 loss: 0.0237 (0.0209) loss_rec_all: 0.0596 (0.0571) loss_rec_sfr: 0.0787 (0.0816) loss_cl: -0.3676 (-0.3673) time: 0.8682 data: 0.0005 max mem: 29859 [01:00:27.061827] Epoch: [222] [300/850] eta: 0:08:01 lr: 0.002075 loss: 0.0219 (0.0210) loss_rec_all: 0.0582 (0.0572) loss_rec_sfr: 0.0669 (0.0815) loss_cl: -0.3677 (-0.3673) time: 0.8649 data: 0.0004 max mem: 29859 [01:00:44.380390] Epoch: [222] [320/850] eta: 0:07:43 lr: 0.002075 loss: 0.0216 (0.0211) loss_rec_all: 0.0575 (0.0572) loss_rec_sfr: 0.0672 (0.0818) loss_cl: -0.3675 (-0.3673) time: 0.8659 data: 0.0003 max mem: 29859 [01:01:01.607172] Epoch: [222] [340/850] eta: 0:07:25 lr: 0.002075 loss: 0.0200 (0.0210) loss_rec_all: 0.0564 (0.0572) loss_rec_sfr: 0.0635 (0.0814) loss_cl: -0.3670 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [01:01:18.896316] Epoch: [222] [360/850] eta: 0:07:07 lr: 0.002075 loss: 0.0197 (0.0210) loss_rec_all: 0.0562 (0.0571) loss_rec_sfr: 0.0591 (0.0810) loss_cl: -0.3673 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [01:01:36.122321] Epoch: [222] [380/850] eta: 0:06:49 lr: 0.002075 loss: 0.0201 (0.0210) loss_rec_all: 0.0561 (0.0571) loss_rec_sfr: 0.0848 (0.0811) loss_cl: -0.3672 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [01:01:53.403620] Epoch: [222] [400/850] eta: 0:06:32 lr: 0.002075 loss: 0.0191 (0.0210) loss_rec_all: 0.0553 (0.0571) loss_rec_sfr: 0.0653 (0.0809) loss_cl: -0.3681 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [01:02:10.631617] Epoch: [222] [420/850] eta: 0:06:14 lr: 0.002074 loss: 0.0189 (0.0209) loss_rec_all: 0.0554 (0.0571) loss_rec_sfr: 0.0564 (0.0804) loss_cl: -0.3681 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [01:02:27.905951] Epoch: [222] [440/850] eta: 0:05:57 lr: 0.002074 loss: 0.0198 (0.0209) loss_rec_all: 0.0559 (0.0570) loss_rec_sfr: 0.0607 (0.0801) loss_cl: -0.3680 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [01:02:45.180762] Epoch: [222] [460/850] eta: 0:05:39 lr: 0.002074 loss: 0.0203 (0.0209) loss_rec_all: 0.0564 (0.0570) loss_rec_sfr: 0.0651 (0.0801) loss_cl: -0.3675 (-0.3674) time: 0.8637 data: 0.0003 max mem: 29859 [01:03:02.456768] Epoch: [222] [480/850] eta: 0:05:22 lr: 0.002074 loss: 0.0195 (0.0208) loss_rec_all: 0.0557 (0.0570) loss_rec_sfr: 0.0868 (0.0803) loss_cl: -0.3671 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [01:03:19.718140] Epoch: [222] [500/850] eta: 0:05:04 lr: 0.002074 loss: 0.0196 (0.0208) loss_rec_all: 0.0556 (0.0570) loss_rec_sfr: 0.0959 (0.0807) loss_cl: -0.3664 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [01:03:36.987511] Epoch: [222] [520/850] eta: 0:04:47 lr: 0.002074 loss: 0.0183 (0.0208) loss_rec_all: 0.0545 (0.0569) loss_rec_sfr: 0.0571 (0.0802) loss_cl: -0.3666 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [01:03:54.226309] Epoch: [222] [540/850] eta: 0:04:29 lr: 0.002074 loss: 0.0203 (0.0208) loss_rec_all: 0.0566 (0.0570) loss_rec_sfr: 0.0848 (0.0803) loss_cl: -0.3674 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [01:04:11.485678] Epoch: [222] [560/850] eta: 0:04:12 lr: 0.002074 loss: 0.0242 (0.0209) loss_rec_all: 0.0604 (0.0571) loss_rec_sfr: 0.0913 (0.0807) loss_cl: -0.3672 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [01:04:28.705393] Epoch: [222] [580/850] eta: 0:03:54 lr: 0.002074 loss: 0.0222 (0.0210) loss_rec_all: 0.0582 (0.0572) loss_rec_sfr: 0.0933 (0.0810) loss_cl: -0.3675 (-0.3673) time: 0.8609 data: 0.0002 max mem: 29859 [01:04:45.999931] Epoch: [222] [600/850] eta: 0:03:37 lr: 0.002074 loss: 0.0235 (0.0211) loss_rec_all: 0.0594 (0.0573) loss_rec_sfr: 0.0876 (0.0811) loss_cl: -0.3674 (-0.3673) time: 0.8647 data: 0.0003 max mem: 29859 [01:05:03.252761] Epoch: [222] [620/850] eta: 0:03:19 lr: 0.002074 loss: 0.0224 (0.0212) loss_rec_all: 0.0587 (0.0574) loss_rec_sfr: 0.0873 (0.0814) loss_cl: -0.3677 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [01:05:20.525742] Epoch: [222] [640/850] eta: 0:03:02 lr: 0.002074 loss: 0.0211 (0.0212) loss_rec_all: 0.0572 (0.0574) loss_rec_sfr: 0.0637 (0.0813) loss_cl: -0.3678 (-0.3673) time: 0.8636 data: 0.0003 max mem: 29859 [01:05:37.750380] Epoch: [222] [660/850] eta: 0:02:44 lr: 0.002073 loss: 0.0195 (0.0212) loss_rec_all: 0.0559 (0.0574) loss_rec_sfr: 0.0658 (0.0812) loss_cl: -0.3679 (-0.3673) time: 0.8612 data: 0.0003 max mem: 29859 [01:05:55.056068] Epoch: [222] [680/850] eta: 0:02:27 lr: 0.002073 loss: 0.0201 (0.0212) loss_rec_all: 0.0564 (0.0573) loss_rec_sfr: 0.0620 (0.0810) loss_cl: -0.3668 (-0.3673) time: 0.8652 data: 0.0004 max mem: 29859 [01:06:12.337761] Epoch: [222] [700/850] eta: 0:02:10 lr: 0.002073 loss: 0.0206 (0.0212) loss_rec_all: 0.0565 (0.0573) loss_rec_sfr: 0.0832 (0.0812) loss_cl: -0.3670 (-0.3673) time: 0.8640 data: 0.0004 max mem: 29859 [01:06:29.607628] Epoch: [222] [720/850] eta: 0:01:52 lr: 0.002073 loss: 0.0190 (0.0211) loss_rec_all: 0.0553 (0.0573) loss_rec_sfr: 0.0562 (0.0808) loss_cl: -0.3669 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [01:06:46.838668] Epoch: [222] [740/850] eta: 0:01:35 lr: 0.002073 loss: 0.0192 (0.0211) loss_rec_all: 0.0554 (0.0573) loss_rec_sfr: 0.0684 (0.0807) loss_cl: -0.3676 (-0.3673) time: 0.8615 data: 0.0003 max mem: 29859 [01:07:04.234666] Epoch: [222] [760/850] eta: 0:01:18 lr: 0.002073 loss: 0.0193 (0.0211) loss_rec_all: 0.0557 (0.0572) loss_rec_sfr: 0.0789 (0.0807) loss_cl: -0.3679 (-0.3673) time: 0.8697 data: 0.0003 max mem: 29859 [01:07:21.464705] Epoch: [222] [780/850] eta: 0:01:00 lr: 0.002073 loss: 0.0207 (0.0211) loss_rec_all: 0.0569 (0.0572) loss_rec_sfr: 0.0791 (0.0809) loss_cl: -0.3678 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [01:07:38.742721] Epoch: [222] [800/850] eta: 0:00:43 lr: 0.002073 loss: 0.0217 (0.0211) loss_rec_all: 0.0580 (0.0573) loss_rec_sfr: 0.0815 (0.0811) loss_cl: -0.3673 (-0.3673) time: 0.8638 data: 0.0003 max mem: 29859 [01:07:56.020080] Epoch: [222] [820/850] eta: 0:00:26 lr: 0.002073 loss: 0.0220 (0.0211) loss_rec_all: 0.0582 (0.0573) loss_rec_sfr: 0.0827 (0.0812) loss_cl: -0.3667 (-0.3673) time: 0.8638 data: 0.0003 max mem: 29859 [01:08:13.258421] Epoch: [222] [840/850] eta: 0:00:08 lr: 0.002073 loss: 0.0210 (0.0212) loss_rec_all: 0.0573 (0.0573) loss_rec_sfr: 0.0717 (0.0812) loss_cl: -0.3668 (-0.3673) time: 0.8619 data: 0.0005 max mem: 29859 [01:08:21.006972] Epoch: [222] [849/850] eta: 0:00:00 lr: 0.002073 loss: 0.0221 (0.0212) loss_rec_all: 0.0581 (0.0573) loss_rec_sfr: 0.0748 (0.0813) loss_cl: -0.3669 (-0.3673) time: 0.8620 data: 0.0005 max mem: 29859 [01:08:21.160792] Epoch: [222] Total time: 0:12:17 (0.8675 s / it) [01:08:21.163536] Averaged stats: lr: 0.002073 loss: 0.0221 (0.0213) loss_rec_all: 0.0581 (0.0574) loss_rec_sfr: 0.0748 (0.0825) loss_cl: -0.3669 (-0.3673) [01:08:21.175307] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [01:08:25.577476] Epoch: [223] [ 0/850] eta: 1:02:21 lr: 0.002073 loss: 0.0229 (0.0229) loss_rec_all: 0.0593 (0.0593) loss_rec_sfr: 0.0596 (0.0596) loss_cl: -0.3677 (-0.3677) time: 4.4013 data: 3.5463 max mem: 29859 [01:08:42.819166] Epoch: [223] [ 20/850] eta: 0:14:15 lr: 0.002073 loss: 0.0201 (0.0220) loss_rec_all: 0.0565 (0.0582) loss_rec_sfr: 0.0672 (0.0759) loss_cl: -0.3671 (-0.3671) time: 0.8620 data: 0.0003 max mem: 29859 [01:09:00.057417] Epoch: [223] [ 40/850] eta: 0:12:48 lr: 0.002073 loss: 0.0210 (0.0215) loss_rec_all: 0.0571 (0.0577) loss_rec_sfr: 0.0698 (0.0804) loss_cl: -0.3676 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [01:09:17.266000] Epoch: [223] [ 60/850] eta: 0:12:06 lr: 0.002072 loss: 0.0194 (0.0210) loss_rec_all: 0.0558 (0.0572) loss_rec_sfr: 0.0568 (0.0786) loss_cl: -0.3678 (-0.3675) time: 0.8604 data: 0.0002 max mem: 29859 [01:09:34.598149] Epoch: [223] [ 80/850] eta: 0:11:37 lr: 0.002072 loss: 0.0213 (0.0210) loss_rec_all: 0.0573 (0.0571) loss_rec_sfr: 0.0787 (0.0800) loss_cl: -0.3676 (-0.3675) time: 0.8665 data: 0.0003 max mem: 29859 [01:09:51.833064] Epoch: [223] [100/850] eta: 0:11:13 lr: 0.002072 loss: 0.0189 (0.0207) loss_rec_all: 0.0551 (0.0569) loss_rec_sfr: 0.0599 (0.0793) loss_cl: -0.3671 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [01:10:09.093203] Epoch: [223] [120/850] eta: 0:10:51 lr: 0.002072 loss: 0.0191 (0.0207) loss_rec_all: 0.0553 (0.0569) loss_rec_sfr: 0.0849 (0.0803) loss_cl: -0.3668 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [01:10:26.379266] Epoch: [223] [140/850] eta: 0:10:30 lr: 0.002072 loss: 0.0198 (0.0207) loss_rec_all: 0.0559 (0.0568) loss_rec_sfr: 0.0817 (0.0802) loss_cl: -0.3666 (-0.3672) time: 0.8642 data: 0.0004 max mem: 29859 [01:10:43.672334] Epoch: [223] [160/850] eta: 0:10:10 lr: 0.002072 loss: 0.0196 (0.0206) loss_rec_all: 0.0555 (0.0568) loss_rec_sfr: 0.0897 (0.0815) loss_cl: -0.3673 (-0.3672) time: 0.8646 data: 0.0003 max mem: 29859 [01:11:00.903403] Epoch: [223] [180/850] eta: 0:09:51 lr: 0.002072 loss: 0.0181 (0.0204) loss_rec_all: 0.0545 (0.0566) loss_rec_sfr: 0.0607 (0.0808) loss_cl: -0.3673 (-0.3673) time: 0.8615 data: 0.0003 max mem: 29859 [01:11:18.248392] Epoch: [223] [200/850] eta: 0:09:32 lr: 0.002072 loss: 0.0197 (0.0204) loss_rec_all: 0.0560 (0.0566) loss_rec_sfr: 0.0673 (0.0806) loss_cl: -0.3675 (-0.3673) time: 0.8672 data: 0.0004 max mem: 29859 [01:11:35.540799] Epoch: [223] [220/850] eta: 0:09:14 lr: 0.002072 loss: 0.0220 (0.0206) loss_rec_all: 0.0581 (0.0568) loss_rec_sfr: 0.0900 (0.0811) loss_cl: -0.3674 (-0.3673) time: 0.8645 data: 0.0003 max mem: 29859 [01:11:52.896930] Epoch: [223] [240/850] eta: 0:08:55 lr: 0.002072 loss: 0.0198 (0.0207) loss_rec_all: 0.0562 (0.0568) loss_rec_sfr: 0.0617 (0.0804) loss_cl: -0.3676 (-0.3673) time: 0.8677 data: 0.0007 max mem: 29859 [01:12:10.140424] Epoch: [223] [260/850] eta: 0:08:37 lr: 0.002072 loss: 0.0208 (0.0208) loss_rec_all: 0.0572 (0.0570) loss_rec_sfr: 0.0728 (0.0806) loss_cl: -0.3679 (-0.3674) time: 0.8621 data: 0.0018 max mem: 29859 [01:12:27.393539] Epoch: [223] [280/850] eta: 0:08:19 lr: 0.002072 loss: 0.0202 (0.0208) loss_rec_all: 0.0566 (0.0569) loss_rec_sfr: 0.0665 (0.0805) loss_cl: -0.3675 (-0.3674) time: 0.8626 data: 0.0002 max mem: 29859 [01:12:44.683315] Epoch: [223] [300/850] eta: 0:08:01 lr: 0.002072 loss: 0.0213 (0.0208) loss_rec_all: 0.0576 (0.0570) loss_rec_sfr: 0.0596 (0.0803) loss_cl: -0.3668 (-0.3673) time: 0.8644 data: 0.0004 max mem: 29859 [01:13:01.970535] Epoch: [223] [320/850] eta: 0:07:43 lr: 0.002071 loss: 0.0202 (0.0207) loss_rec_all: 0.0561 (0.0569) loss_rec_sfr: 0.0635 (0.0799) loss_cl: -0.3667 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [01:13:19.186395] Epoch: [223] [340/850] eta: 0:07:25 lr: 0.002071 loss: 0.0195 (0.0207) loss_rec_all: 0.0554 (0.0568) loss_rec_sfr: 0.0628 (0.0797) loss_cl: -0.3671 (-0.3673) time: 0.8607 data: 0.0002 max mem: 29859 [01:13:36.510590] Epoch: [223] [360/850] eta: 0:07:07 lr: 0.002071 loss: 0.0188 (0.0207) loss_rec_all: 0.0551 (0.0568) loss_rec_sfr: 0.0820 (0.0797) loss_cl: -0.3670 (-0.3673) time: 0.8661 data: 0.0003 max mem: 29859 [01:13:53.751486] Epoch: [223] [380/850] eta: 0:06:50 lr: 0.002071 loss: 0.0186 (0.0206) loss_rec_all: 0.0547 (0.0567) loss_rec_sfr: 0.0604 (0.0795) loss_cl: -0.3674 (-0.3673) time: 0.8620 data: 0.0003 max mem: 29859 [01:14:11.031351] Epoch: [223] [400/850] eta: 0:06:32 lr: 0.002071 loss: 0.0209 (0.0206) loss_rec_all: 0.0572 (0.0568) loss_rec_sfr: 0.0619 (0.0796) loss_cl: -0.3675 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [01:14:28.303046] Epoch: [223] [420/850] eta: 0:06:14 lr: 0.002071 loss: 0.0185 (0.0206) loss_rec_all: 0.0548 (0.0568) loss_rec_sfr: 0.0546 (0.0795) loss_cl: -0.3674 (-0.3673) time: 0.8635 data: 0.0003 max mem: 29859 [01:14:45.604182] Epoch: [223] [440/850] eta: 0:05:57 lr: 0.002071 loss: 0.0206 (0.0206) loss_rec_all: 0.0567 (0.0568) loss_rec_sfr: 0.0824 (0.0795) loss_cl: -0.3676 (-0.3673) time: 0.8650 data: 0.0003 max mem: 29859 [01:15:02.826341] Epoch: [223] [460/850] eta: 0:05:39 lr: 0.002071 loss: 0.0197 (0.0206) loss_rec_all: 0.0560 (0.0568) loss_rec_sfr: 0.0680 (0.0793) loss_cl: -0.3675 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [01:15:20.117979] Epoch: [223] [480/850] eta: 0:05:22 lr: 0.002071 loss: 0.0187 (0.0206) loss_rec_all: 0.0550 (0.0567) loss_rec_sfr: 0.0627 (0.0789) loss_cl: -0.3669 (-0.3673) time: 0.8645 data: 0.0003 max mem: 29859 [01:15:37.389353] Epoch: [223] [500/850] eta: 0:05:04 lr: 0.002071 loss: 0.0210 (0.0206) loss_rec_all: 0.0570 (0.0568) loss_rec_sfr: 0.0832 (0.0791) loss_cl: -0.3668 (-0.3672) time: 0.8635 data: 0.0003 max mem: 29859 [01:15:54.744151] Epoch: [223] [520/850] eta: 0:04:47 lr: 0.002071 loss: 0.0186 (0.0206) loss_rec_all: 0.0549 (0.0568) loss_rec_sfr: 0.0575 (0.0786) loss_cl: -0.3667 (-0.3672) time: 0.8677 data: 0.0003 max mem: 29859 [01:16:11.957369] Epoch: [223] [540/850] eta: 0:04:29 lr: 0.002071 loss: 0.0200 (0.0206) loss_rec_all: 0.0562 (0.0568) loss_rec_sfr: 0.0883 (0.0788) loss_cl: -0.3669 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [01:16:29.209878] Epoch: [223] [560/850] eta: 0:04:12 lr: 0.002070 loss: 0.0210 (0.0206) loss_rec_all: 0.0568 (0.0568) loss_rec_sfr: 0.0682 (0.0787) loss_cl: -0.3667 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [01:16:46.499851] Epoch: [223] [580/850] eta: 0:03:54 lr: 0.002070 loss: 0.0202 (0.0207) loss_rec_all: 0.0564 (0.0568) loss_rec_sfr: 0.0614 (0.0786) loss_cl: -0.3671 (-0.3672) time: 0.8644 data: 0.0003 max mem: 29859 [01:17:03.775279] Epoch: [223] [600/850] eta: 0:03:37 lr: 0.002070 loss: 0.0207 (0.0207) loss_rec_all: 0.0568 (0.0569) loss_rec_sfr: 0.0671 (0.0786) loss_cl: -0.3680 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [01:17:20.992570] Epoch: [223] [620/850] eta: 0:03:19 lr: 0.002070 loss: 0.0189 (0.0207) loss_rec_all: 0.0554 (0.0568) loss_rec_sfr: 0.0586 (0.0784) loss_cl: -0.3681 (-0.3673) time: 0.8608 data: 0.0002 max mem: 29859 [01:17:38.326360] Epoch: [223] [640/850] eta: 0:03:02 lr: 0.002070 loss: 0.0214 (0.0207) loss_rec_all: 0.0575 (0.0569) loss_rec_sfr: 0.0876 (0.0787) loss_cl: -0.3676 (-0.3673) time: 0.8666 data: 0.0003 max mem: 29859 [01:17:55.590364] Epoch: [223] [660/850] eta: 0:02:45 lr: 0.002070 loss: 0.0205 (0.0207) loss_rec_all: 0.0569 (0.0569) loss_rec_sfr: 0.0691 (0.0787) loss_cl: -0.3678 (-0.3673) time: 0.8631 data: 0.0003 max mem: 29859 [01:18:12.860237] Epoch: [223] [680/850] eta: 0:02:27 lr: 0.002070 loss: 0.0209 (0.0207) loss_rec_all: 0.0570 (0.0569) loss_rec_sfr: 0.0704 (0.0789) loss_cl: -0.3676 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [01:18:30.102524] Epoch: [223] [700/850] eta: 0:02:10 lr: 0.002070 loss: 0.0238 (0.0208) loss_rec_all: 0.0595 (0.0570) loss_rec_sfr: 0.0902 (0.0794) loss_cl: -0.3675 (-0.3673) time: 0.8620 data: 0.0003 max mem: 29859 [01:18:47.478886] Epoch: [223] [720/850] eta: 0:01:52 lr: 0.002070 loss: 0.0225 (0.0209) loss_rec_all: 0.0586 (0.0571) loss_rec_sfr: 0.0705 (0.0795) loss_cl: -0.3673 (-0.3673) time: 0.8688 data: 0.0010 max mem: 29859 [01:19:04.697370] Epoch: [223] [740/850] eta: 0:01:35 lr: 0.002070 loss: 0.0225 (0.0209) loss_rec_all: 0.0584 (0.0571) loss_rec_sfr: 0.0698 (0.0796) loss_cl: -0.3670 (-0.3673) time: 0.8609 data: 0.0002 max mem: 29859 [01:19:21.967130] Epoch: [223] [760/850] eta: 0:01:18 lr: 0.002070 loss: 0.0223 (0.0210) loss_rec_all: 0.0583 (0.0572) loss_rec_sfr: 0.0801 (0.0798) loss_cl: -0.3671 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [01:19:39.278152] Epoch: [223] [780/850] eta: 0:01:00 lr: 0.002070 loss: 0.0223 (0.0210) loss_rec_all: 0.0584 (0.0572) loss_rec_sfr: 0.0880 (0.0802) loss_cl: -0.3674 (-0.3673) time: 0.8655 data: 0.0003 max mem: 29859 [01:19:56.538950] Epoch: [223] [800/850] eta: 0:00:43 lr: 0.002070 loss: 0.0215 (0.0211) loss_rec_all: 0.0577 (0.0572) loss_rec_sfr: 0.0851 (0.0803) loss_cl: -0.3677 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [01:20:13.767930] Epoch: [223] [820/850] eta: 0:00:26 lr: 0.002069 loss: 0.0194 (0.0211) loss_rec_all: 0.0558 (0.0572) loss_rec_sfr: 0.0661 (0.0803) loss_cl: -0.3681 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [01:20:31.112568] Epoch: [223] [840/850] eta: 0:00:08 lr: 0.002069 loss: 0.0211 (0.0211) loss_rec_all: 0.0571 (0.0572) loss_rec_sfr: 0.0830 (0.0805) loss_cl: -0.3674 (-0.3673) time: 0.8672 data: 0.0008 max mem: 29859 [01:20:38.859790] Epoch: [223] [849/850] eta: 0:00:00 lr: 0.002069 loss: 0.0209 (0.0211) loss_rec_all: 0.0567 (0.0572) loss_rec_sfr: 0.0818 (0.0804) loss_cl: -0.3674 (-0.3673) time: 0.8659 data: 0.0007 max mem: 29859 [01:20:38.987716] Epoch: [223] Total time: 0:12:17 (0.8680 s / it) [01:20:38.994997] Averaged stats: lr: 0.002069 loss: 0.0209 (0.0211) loss_rec_all: 0.0567 (0.0573) loss_rec_sfr: 0.0818 (0.0812) loss_cl: -0.3674 (-0.3673) [01:20:39.006183] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [01:20:43.322284] Epoch: [224] [ 0/850] eta: 1:01:07 lr: 0.002069 loss: 0.0175 (0.0175) loss_rec_all: 0.0536 (0.0536) loss_rec_sfr: 0.0626 (0.0626) loss_cl: -0.3657 (-0.3657) time: 4.3153 data: 3.4422 max mem: 29859 [01:21:00.504397] Epoch: [224] [ 20/850] eta: 0:14:09 lr: 0.002069 loss: 0.0183 (0.0192) loss_rec_all: 0.0546 (0.0554) loss_rec_sfr: 0.0558 (0.0678) loss_cl: -0.3664 (-0.3665) time: 0.8591 data: 0.0003 max mem: 29859 [01:21:17.811456] Epoch: [224] [ 40/850] eta: 0:12:46 lr: 0.002069 loss: 0.0197 (0.0196) loss_rec_all: 0.0559 (0.0558) loss_rec_sfr: 0.0638 (0.0712) loss_cl: -0.3664 (-0.3664) time: 0.8653 data: 0.0002 max mem: 29859 [01:21:35.071962] Epoch: [224] [ 60/850] eta: 0:12:06 lr: 0.002069 loss: 0.0194 (0.0199) loss_rec_all: 0.0557 (0.0560) loss_rec_sfr: 0.0833 (0.0745) loss_cl: -0.3668 (-0.3665) time: 0.8630 data: 0.0003 max mem: 29859 [01:21:52.327307] Epoch: [224] [ 80/850] eta: 0:11:36 lr: 0.002069 loss: 0.0200 (0.0200) loss_rec_all: 0.0560 (0.0561) loss_rec_sfr: 0.0858 (0.0774) loss_cl: -0.3675 (-0.3667) time: 0.8627 data: 0.0002 max mem: 29859 [01:22:09.621522] Epoch: [224] [100/850] eta: 0:11:12 lr: 0.002069 loss: 0.0185 (0.0200) loss_rec_all: 0.0549 (0.0561) loss_rec_sfr: 0.0614 (0.0757) loss_cl: -0.3675 (-0.3668) time: 0.8646 data: 0.0003 max mem: 29859 [01:22:26.933730] Epoch: [224] [120/850] eta: 0:10:51 lr: 0.002069 loss: 0.0187 (0.0200) loss_rec_all: 0.0549 (0.0561) loss_rec_sfr: 0.0673 (0.0759) loss_cl: -0.3675 (-0.3670) time: 0.8656 data: 0.0003 max mem: 29859 [01:22:44.150025] Epoch: [224] [140/850] eta: 0:10:30 lr: 0.002069 loss: 0.0182 (0.0199) loss_rec_all: 0.0545 (0.0560) loss_rec_sfr: 0.0782 (0.0769) loss_cl: -0.3678 (-0.3671) time: 0.8608 data: 0.0002 max mem: 29859 [01:23:01.419708] Epoch: [224] [160/850] eta: 0:10:10 lr: 0.002069 loss: 0.0188 (0.0199) loss_rec_all: 0.0550 (0.0561) loss_rec_sfr: 0.0615 (0.0770) loss_cl: -0.3680 (-0.3671) time: 0.8634 data: 0.0002 max mem: 29859 [01:23:18.742408] Epoch: [224] [180/850] eta: 0:09:51 lr: 0.002069 loss: 0.0208 (0.0200) loss_rec_all: 0.0569 (0.0562) loss_rec_sfr: 0.0787 (0.0777) loss_cl: -0.3683 (-0.3673) time: 0.8660 data: 0.0005 max mem: 29859 [01:23:36.005904] Epoch: [224] [200/850] eta: 0:09:32 lr: 0.002069 loss: 0.0201 (0.0201) loss_rec_all: 0.0563 (0.0563) loss_rec_sfr: 0.0595 (0.0775) loss_cl: -0.3673 (-0.3672) time: 0.8631 data: 0.0003 max mem: 29859 [01:23:53.219895] Epoch: [224] [220/850] eta: 0:09:13 lr: 0.002068 loss: 0.0203 (0.0203) loss_rec_all: 0.0565 (0.0565) loss_rec_sfr: 0.0649 (0.0774) loss_cl: -0.3664 (-0.3672) time: 0.8606 data: 0.0002 max mem: 29859 [01:24:10.596121] Epoch: [224] [240/850] eta: 0:08:55 lr: 0.002068 loss: 0.0200 (0.0204) loss_rec_all: 0.0560 (0.0566) loss_rec_sfr: 0.0670 (0.0778) loss_cl: -0.3665 (-0.3671) time: 0.8687 data: 0.0004 max mem: 29859 [01:24:27.869237] Epoch: [224] [260/850] eta: 0:08:37 lr: 0.002068 loss: 0.0205 (0.0205) loss_rec_all: 0.0565 (0.0566) loss_rec_sfr: 0.0834 (0.0784) loss_cl: -0.3676 (-0.3671) time: 0.8636 data: 0.0002 max mem: 29859 [01:24:45.166939] Epoch: [224] [280/850] eta: 0:08:19 lr: 0.002068 loss: 0.0185 (0.0203) loss_rec_all: 0.0549 (0.0565) loss_rec_sfr: 0.0559 (0.0781) loss_cl: -0.3677 (-0.3672) time: 0.8648 data: 0.0003 max mem: 29859 [01:25:02.445206] Epoch: [224] [300/850] eta: 0:08:01 lr: 0.002068 loss: 0.0202 (0.0204) loss_rec_all: 0.0563 (0.0566) loss_rec_sfr: 0.0646 (0.0782) loss_cl: -0.3677 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [01:25:19.840572] Epoch: [224] [320/850] eta: 0:07:43 lr: 0.002068 loss: 0.0189 (0.0203) loss_rec_all: 0.0553 (0.0565) loss_rec_sfr: 0.0644 (0.0781) loss_cl: -0.3672 (-0.3672) time: 0.8697 data: 0.0003 max mem: 29859 [01:25:37.104031] Epoch: [224] [340/850] eta: 0:07:25 lr: 0.002068 loss: 0.0192 (0.0203) loss_rec_all: 0.0555 (0.0565) loss_rec_sfr: 0.0585 (0.0777) loss_cl: -0.3674 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [01:25:54.406610] Epoch: [224] [360/850] eta: 0:07:08 lr: 0.002068 loss: 0.0181 (0.0202) loss_rec_all: 0.0543 (0.0564) loss_rec_sfr: 0.0566 (0.0772) loss_cl: -0.3673 (-0.3673) time: 0.8651 data: 0.0002 max mem: 29859 [01:26:11.762915] Epoch: [224] [380/850] eta: 0:06:50 lr: 0.002068 loss: 0.0192 (0.0202) loss_rec_all: 0.0555 (0.0564) loss_rec_sfr: 0.0780 (0.0771) loss_cl: -0.3673 (-0.3672) time: 0.8677 data: 0.0004 max mem: 29859 [01:26:29.088597] Epoch: [224] [400/850] eta: 0:06:32 lr: 0.002068 loss: 0.0190 (0.0202) loss_rec_all: 0.0553 (0.0564) loss_rec_sfr: 0.0659 (0.0773) loss_cl: -0.3674 (-0.3672) time: 0.8662 data: 0.0003 max mem: 29859 [01:26:46.338239] Epoch: [224] [420/850] eta: 0:06:15 lr: 0.002068 loss: 0.0202 (0.0203) loss_rec_all: 0.0565 (0.0565) loss_rec_sfr: 0.0626 (0.0771) loss_cl: -0.3674 (-0.3673) time: 0.8624 data: 0.0003 max mem: 29859 [01:27:03.691061] Epoch: [224] [440/850] eta: 0:05:57 lr: 0.002068 loss: 0.0224 (0.0204) loss_rec_all: 0.0584 (0.0566) loss_rec_sfr: 0.0863 (0.0779) loss_cl: -0.3672 (-0.3673) time: 0.8676 data: 0.0003 max mem: 29859 [01:27:20.983265] Epoch: [224] [460/850] eta: 0:05:40 lr: 0.002067 loss: 0.0204 (0.0204) loss_rec_all: 0.0568 (0.0566) loss_rec_sfr: 0.0601 (0.0780) loss_cl: -0.3676 (-0.3673) time: 0.8645 data: 0.0003 max mem: 29859 [01:27:38.272942] Epoch: [224] [480/850] eta: 0:05:22 lr: 0.002067 loss: 0.0212 (0.0205) loss_rec_all: 0.0575 (0.0567) loss_rec_sfr: 0.0626 (0.0781) loss_cl: -0.3678 (-0.3673) time: 0.8644 data: 0.0003 max mem: 29859 [01:27:55.576442] Epoch: [224] [500/850] eta: 0:05:04 lr: 0.002067 loss: 0.0219 (0.0206) loss_rec_all: 0.0580 (0.0568) loss_rec_sfr: 0.0657 (0.0782) loss_cl: -0.3676 (-0.3673) time: 0.8651 data: 0.0003 max mem: 29859 [01:28:12.950443] Epoch: [224] [520/850] eta: 0:04:47 lr: 0.002067 loss: 0.0214 (0.0206) loss_rec_all: 0.0573 (0.0568) loss_rec_sfr: 0.0996 (0.0792) loss_cl: -0.3677 (-0.3673) time: 0.8686 data: 0.0003 max mem: 29859 [01:28:30.206271] Epoch: [224] [540/850] eta: 0:04:29 lr: 0.002067 loss: 0.0207 (0.0206) loss_rec_all: 0.0569 (0.0568) loss_rec_sfr: 0.0687 (0.0794) loss_cl: -0.3674 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [01:28:47.504788] Epoch: [224] [560/850] eta: 0:04:12 lr: 0.002067 loss: 0.0192 (0.0206) loss_rec_all: 0.0552 (0.0568) loss_rec_sfr: 0.0570 (0.0793) loss_cl: -0.3671 (-0.3673) time: 0.8648 data: 0.0003 max mem: 29859 [01:29:04.835659] Epoch: [224] [580/850] eta: 0:03:55 lr: 0.002067 loss: 0.0203 (0.0206) loss_rec_all: 0.0565 (0.0568) loss_rec_sfr: 0.0591 (0.0795) loss_cl: -0.3672 (-0.3673) time: 0.8665 data: 0.0003 max mem: 29859 [01:29:22.138094] Epoch: [224] [600/850] eta: 0:03:37 lr: 0.002067 loss: 0.0207 (0.0206) loss_rec_all: 0.0567 (0.0568) loss_rec_sfr: 0.0714 (0.0797) loss_cl: -0.3668 (-0.3673) time: 0.8651 data: 0.0003 max mem: 29859 [01:29:39.387986] Epoch: [224] [620/850] eta: 0:03:20 lr: 0.002067 loss: 0.0197 (0.0206) loss_rec_all: 0.0560 (0.0568) loss_rec_sfr: 0.0847 (0.0799) loss_cl: -0.3664 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [01:29:56.759287] Epoch: [224] [640/850] eta: 0:03:02 lr: 0.002067 loss: 0.0196 (0.0206) loss_rec_all: 0.0559 (0.0568) loss_rec_sfr: 0.0646 (0.0800) loss_cl: -0.3666 (-0.3672) time: 0.8685 data: 0.0004 max mem: 29859 [01:30:14.058103] Epoch: [224] [660/850] eta: 0:02:45 lr: 0.002067 loss: 0.0205 (0.0206) loss_rec_all: 0.0565 (0.0568) loss_rec_sfr: 0.0798 (0.0801) loss_cl: -0.3672 (-0.3672) time: 0.8649 data: 0.0003 max mem: 29859 [01:30:31.441805] Epoch: [224] [680/850] eta: 0:02:27 lr: 0.002067 loss: 0.0205 (0.0206) loss_rec_all: 0.0565 (0.0568) loss_rec_sfr: 0.0815 (0.0803) loss_cl: -0.3674 (-0.3672) time: 0.8691 data: 0.0006 max mem: 29859 [01:30:48.695054] Epoch: [224] [700/850] eta: 0:02:10 lr: 0.002067 loss: 0.0210 (0.0206) loss_rec_all: 0.0570 (0.0568) loss_rec_sfr: 0.0811 (0.0804) loss_cl: -0.3678 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [01:31:05.984285] Epoch: [224] [720/850] eta: 0:01:53 lr: 0.002066 loss: 0.0200 (0.0206) loss_rec_all: 0.0564 (0.0568) loss_rec_sfr: 0.0642 (0.0803) loss_cl: -0.3680 (-0.3673) time: 0.8644 data: 0.0003 max mem: 29859 [01:31:23.317477] Epoch: [224] [740/850] eta: 0:01:35 lr: 0.002066 loss: 0.0204 (0.0207) loss_rec_all: 0.0567 (0.0568) loss_rec_sfr: 0.0644 (0.0802) loss_cl: -0.3680 (-0.3673) time: 0.8666 data: 0.0005 max mem: 29859 [01:31:40.607228] Epoch: [224] [760/850] eta: 0:01:18 lr: 0.002066 loss: 0.0194 (0.0207) loss_rec_all: 0.0556 (0.0568) loss_rec_sfr: 0.0610 (0.0801) loss_cl: -0.3674 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [01:31:57.855489] Epoch: [224] [780/850] eta: 0:01:00 lr: 0.002066 loss: 0.0199 (0.0207) loss_rec_all: 0.0562 (0.0568) loss_rec_sfr: 0.0856 (0.0802) loss_cl: -0.3671 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [01:32:15.219167] Epoch: [224] [800/850] eta: 0:00:43 lr: 0.002066 loss: 0.0188 (0.0207) loss_rec_all: 0.0551 (0.0568) loss_rec_sfr: 0.0584 (0.0800) loss_cl: -0.3672 (-0.3673) time: 0.8681 data: 0.0004 max mem: 29859 [01:32:32.484153] Epoch: [224] [820/850] eta: 0:00:26 lr: 0.002066 loss: 0.0192 (0.0206) loss_rec_all: 0.0555 (0.0568) loss_rec_sfr: 0.0595 (0.0799) loss_cl: -0.3675 (-0.3673) time: 0.8632 data: 0.0003 max mem: 29859 [01:32:49.777045] Epoch: [224] [840/850] eta: 0:00:08 lr: 0.002066 loss: 0.0203 (0.0207) loss_rec_all: 0.0563 (0.0568) loss_rec_sfr: 0.0676 (0.0799) loss_cl: -0.3673 (-0.3673) time: 0.8646 data: 0.0005 max mem: 29859 [01:32:57.586562] Epoch: [224] [849/850] eta: 0:00:00 lr: 0.002066 loss: 0.0203 (0.0207) loss_rec_all: 0.0563 (0.0568) loss_rec_sfr: 0.0874 (0.0800) loss_cl: -0.3674 (-0.3673) time: 0.8666 data: 0.0005 max mem: 29859 [01:32:57.704500] Epoch: [224] Total time: 0:12:18 (0.8691 s / it) [01:32:57.724724] Averaged stats: lr: 0.002066 loss: 0.0203 (0.0208) loss_rec_all: 0.0563 (0.0570) loss_rec_sfr: 0.0874 (0.0812) loss_cl: -0.3674 (-0.3673) [01:32:57.736980] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [01:33:02.405299] Epoch: [225] [ 0/850] eta: 1:06:07 lr: 0.002066 loss: 0.0199 (0.0199) loss_rec_all: 0.0557 (0.0557) loss_rec_sfr: 0.1142 (0.1142) loss_cl: -0.3662 (-0.3662) time: 4.6673 data: 3.7438 max mem: 29859 [01:33:19.624201] Epoch: [225] [ 20/850] eta: 0:14:24 lr: 0.002066 loss: 0.0201 (0.0206) loss_rec_all: 0.0561 (0.0567) loss_rec_sfr: 0.0827 (0.0897) loss_cl: -0.3670 (-0.3670) time: 0.8609 data: 0.0003 max mem: 29859 [01:33:36.886436] Epoch: [225] [ 40/850] eta: 0:12:53 lr: 0.002066 loss: 0.0216 (0.0211) loss_rec_all: 0.0576 (0.0572) loss_rec_sfr: 0.0831 (0.0870) loss_cl: -0.3674 (-0.3672) time: 0.8631 data: 0.0010 max mem: 29859 [01:33:54.155885] Epoch: [225] [ 60/850] eta: 0:12:10 lr: 0.002066 loss: 0.0200 (0.0211) loss_rec_all: 0.0563 (0.0572) loss_rec_sfr: 0.0774 (0.0861) loss_cl: -0.3675 (-0.3673) time: 0.8634 data: 0.0008 max mem: 29859 [01:34:11.559991] Epoch: [225] [ 80/850] eta: 0:11:41 lr: 0.002066 loss: 0.0203 (0.0209) loss_rec_all: 0.0563 (0.0571) loss_rec_sfr: 0.0974 (0.0870) loss_cl: -0.3674 (-0.3673) time: 0.8701 data: 0.0005 max mem: 29859 [01:34:28.827572] Epoch: [225] [100/850] eta: 0:11:16 lr: 0.002065 loss: 0.0206 (0.0210) loss_rec_all: 0.0568 (0.0571) loss_rec_sfr: 0.0797 (0.0865) loss_cl: -0.3673 (-0.3673) time: 0.8633 data: 0.0003 max mem: 29859 [01:34:46.128688] Epoch: [225] [120/850] eta: 0:10:53 lr: 0.002065 loss: 0.0198 (0.0210) loss_rec_all: 0.0562 (0.0571) loss_rec_sfr: 0.0650 (0.0855) loss_cl: -0.3674 (-0.3673) time: 0.8650 data: 0.0003 max mem: 29859 [01:35:03.515822] Epoch: [225] [140/850] eta: 0:10:33 lr: 0.002065 loss: 0.0199 (0.0209) loss_rec_all: 0.0560 (0.0570) loss_rec_sfr: 0.0664 (0.0841) loss_cl: -0.3673 (-0.3673) time: 0.8693 data: 0.0005 max mem: 29859 [01:35:20.828791] Epoch: [225] [160/850] eta: 0:10:13 lr: 0.002065 loss: 0.0208 (0.0209) loss_rec_all: 0.0569 (0.0570) loss_rec_sfr: 0.0987 (0.0848) loss_cl: -0.3678 (-0.3673) time: 0.8656 data: 0.0004 max mem: 29859 [01:35:38.078496] Epoch: [225] [180/850] eta: 0:09:53 lr: 0.002065 loss: 0.0191 (0.0208) loss_rec_all: 0.0551 (0.0569) loss_rec_sfr: 0.0679 (0.0843) loss_cl: -0.3674 (-0.3674) time: 0.8624 data: 0.0003 max mem: 29859 [01:35:55.525462] Epoch: [225] [200/850] eta: 0:09:34 lr: 0.002065 loss: 0.0189 (0.0207) loss_rec_all: 0.0552 (0.0568) loss_rec_sfr: 0.0673 (0.0839) loss_cl: -0.3670 (-0.3673) time: 0.8722 data: 0.0005 max mem: 29859 [01:36:12.798408] Epoch: [225] [220/850] eta: 0:09:16 lr: 0.002065 loss: 0.0184 (0.0206) loss_rec_all: 0.0546 (0.0567) loss_rec_sfr: 0.0555 (0.0825) loss_cl: -0.3670 (-0.3673) time: 0.8635 data: 0.0003 max mem: 29859 [01:36:30.106596] Epoch: [225] [240/850] eta: 0:08:57 lr: 0.002065 loss: 0.0196 (0.0206) loss_rec_all: 0.0559 (0.0567) loss_rec_sfr: 0.0820 (0.0822) loss_cl: -0.3675 (-0.3673) time: 0.8653 data: 0.0003 max mem: 29859 [01:36:47.452469] Epoch: [225] [260/850] eta: 0:08:39 lr: 0.002065 loss: 0.0213 (0.0206) loss_rec_all: 0.0573 (0.0568) loss_rec_sfr: 0.0833 (0.0828) loss_cl: -0.3677 (-0.3673) time: 0.8672 data: 0.0009 max mem: 29859 [01:37:04.830363] Epoch: [225] [280/850] eta: 0:08:21 lr: 0.002065 loss: 0.0190 (0.0206) loss_rec_all: 0.0551 (0.0567) loss_rec_sfr: 0.0782 (0.0828) loss_cl: -0.3677 (-0.3674) time: 0.8688 data: 0.0005 max mem: 29859 [01:37:22.084457] Epoch: [225] [300/850] eta: 0:08:02 lr: 0.002065 loss: 0.0202 (0.0205) loss_rec_all: 0.0563 (0.0567) loss_rec_sfr: 0.0611 (0.0821) loss_cl: -0.3676 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [01:37:39.408490] Epoch: [225] [320/850] eta: 0:07:45 lr: 0.002065 loss: 0.0188 (0.0205) loss_rec_all: 0.0550 (0.0567) loss_rec_sfr: 0.0660 (0.0820) loss_cl: -0.3674 (-0.3673) time: 0.8661 data: 0.0002 max mem: 29859 [01:37:56.720596] Epoch: [225] [340/850] eta: 0:07:27 lr: 0.002065 loss: 0.0192 (0.0205) loss_rec_all: 0.0555 (0.0566) loss_rec_sfr: 0.0616 (0.0816) loss_cl: -0.3668 (-0.3673) time: 0.8656 data: 0.0003 max mem: 29859 [01:38:14.022534] Epoch: [225] [360/850] eta: 0:07:09 lr: 0.002064 loss: 0.0211 (0.0205) loss_rec_all: 0.0572 (0.0566) loss_rec_sfr: 0.0612 (0.0815) loss_cl: -0.3668 (-0.3673) time: 0.8650 data: 0.0003 max mem: 29859 [01:38:31.274740] Epoch: [225] [380/850] eta: 0:06:51 lr: 0.002064 loss: 0.0194 (0.0204) loss_rec_all: 0.0557 (0.0566) loss_rec_sfr: 0.0644 (0.0813) loss_cl: -0.3677 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [01:38:48.666798] Epoch: [225] [400/850] eta: 0:06:33 lr: 0.002064 loss: 0.0197 (0.0204) loss_rec_all: 0.0560 (0.0566) loss_rec_sfr: 0.0573 (0.0808) loss_cl: -0.3688 (-0.3674) time: 0.8695 data: 0.0004 max mem: 29859 [01:39:05.930150] Epoch: [225] [420/850] eta: 0:06:16 lr: 0.002064 loss: 0.0196 (0.0204) loss_rec_all: 0.0558 (0.0566) loss_rec_sfr: 0.0632 (0.0806) loss_cl: -0.3678 (-0.3674) time: 0.8631 data: 0.0003 max mem: 29859 [01:39:23.222642] Epoch: [225] [440/850] eta: 0:05:58 lr: 0.002064 loss: 0.0218 (0.0205) loss_rec_all: 0.0577 (0.0567) loss_rec_sfr: 0.0886 (0.0813) loss_cl: -0.3669 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [01:39:40.557300] Epoch: [225] [460/850] eta: 0:05:40 lr: 0.002064 loss: 0.0203 (0.0205) loss_rec_all: 0.0562 (0.0567) loss_rec_sfr: 0.0604 (0.0814) loss_cl: -0.3668 (-0.3673) time: 0.8667 data: 0.0004 max mem: 29859 [01:39:57.871230] Epoch: [225] [480/850] eta: 0:05:23 lr: 0.002064 loss: 0.0206 (0.0206) loss_rec_all: 0.0569 (0.0567) loss_rec_sfr: 0.0850 (0.0817) loss_cl: -0.3669 (-0.3673) time: 0.8656 data: 0.0003 max mem: 29859 [01:40:15.111265] Epoch: [225] [500/850] eta: 0:05:05 lr: 0.002064 loss: 0.0202 (0.0206) loss_rec_all: 0.0560 (0.0567) loss_rec_sfr: 0.0829 (0.0817) loss_cl: -0.3674 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [01:40:32.454814] Epoch: [225] [520/850] eta: 0:04:47 lr: 0.002064 loss: 0.0197 (0.0206) loss_rec_all: 0.0561 (0.0567) loss_rec_sfr: 0.0675 (0.0817) loss_cl: -0.3670 (-0.3673) time: 0.8671 data: 0.0004 max mem: 29859 [01:40:49.742314] Epoch: [225] [540/850] eta: 0:04:30 lr: 0.002064 loss: 0.0209 (0.0206) loss_rec_all: 0.0572 (0.0568) loss_rec_sfr: 0.0621 (0.0817) loss_cl: -0.3674 (-0.3673) time: 0.8643 data: 0.0003 max mem: 29859 [01:41:07.035097] Epoch: [225] [560/850] eta: 0:04:12 lr: 0.002064 loss: 0.0207 (0.0207) loss_rec_all: 0.0569 (0.0568) loss_rec_sfr: 0.0593 (0.0815) loss_cl: -0.3672 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [01:41:24.309800] Epoch: [225] [580/850] eta: 0:03:55 lr: 0.002064 loss: 0.0197 (0.0207) loss_rec_all: 0.0561 (0.0568) loss_rec_sfr: 0.0592 (0.0812) loss_cl: -0.3673 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [01:41:41.724085] Epoch: [225] [600/850] eta: 0:03:37 lr: 0.002063 loss: 0.0201 (0.0207) loss_rec_all: 0.0564 (0.0568) loss_rec_sfr: 0.0838 (0.0812) loss_cl: -0.3678 (-0.3673) time: 0.8706 data: 0.0004 max mem: 29859 [01:41:58.961124] Epoch: [225] [620/850] eta: 0:03:20 lr: 0.002063 loss: 0.0195 (0.0206) loss_rec_all: 0.0558 (0.0568) loss_rec_sfr: 0.0648 (0.0813) loss_cl: -0.3677 (-0.3673) time: 0.8618 data: 0.0003 max mem: 29859 [01:42:16.253329] Epoch: [225] [640/850] eta: 0:03:02 lr: 0.002063 loss: 0.0206 (0.0206) loss_rec_all: 0.0566 (0.0568) loss_rec_sfr: 0.0937 (0.0815) loss_cl: -0.3674 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [01:42:33.602839] Epoch: [225] [660/850] eta: 0:02:45 lr: 0.002063 loss: 0.0196 (0.0206) loss_rec_all: 0.0558 (0.0568) loss_rec_sfr: 0.0688 (0.0814) loss_cl: -0.3673 (-0.3673) time: 0.8674 data: 0.0005 max mem: 29859 [01:42:50.903811] Epoch: [225] [680/850] eta: 0:02:28 lr: 0.002063 loss: 0.0189 (0.0206) loss_rec_all: 0.0550 (0.0568) loss_rec_sfr: 0.0916 (0.0815) loss_cl: -0.3670 (-0.3673) time: 0.8650 data: 0.0002 max mem: 29859 [01:43:08.150836] Epoch: [225] [700/850] eta: 0:02:10 lr: 0.002063 loss: 0.0189 (0.0206) loss_rec_all: 0.0552 (0.0567) loss_rec_sfr: 0.0600 (0.0813) loss_cl: -0.3668 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [01:43:25.508525] Epoch: [225] [720/850] eta: 0:01:53 lr: 0.002063 loss: 0.0202 (0.0206) loss_rec_all: 0.0565 (0.0567) loss_rec_sfr: 0.0640 (0.0812) loss_cl: -0.3667 (-0.3673) time: 0.8678 data: 0.0010 max mem: 29859 [01:43:42.770432] Epoch: [225] [740/850] eta: 0:01:35 lr: 0.002063 loss: 0.0198 (0.0206) loss_rec_all: 0.0558 (0.0567) loss_rec_sfr: 0.0588 (0.0809) loss_cl: -0.3669 (-0.3673) time: 0.8630 data: 0.0003 max mem: 29859 [01:44:00.057295] Epoch: [225] [760/850] eta: 0:01:18 lr: 0.002063 loss: 0.0193 (0.0206) loss_rec_all: 0.0556 (0.0567) loss_rec_sfr: 0.0600 (0.0808) loss_cl: -0.3670 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [01:44:17.339257] Epoch: [225] [780/850] eta: 0:01:00 lr: 0.002063 loss: 0.0202 (0.0206) loss_rec_all: 0.0566 (0.0567) loss_rec_sfr: 0.0653 (0.0806) loss_cl: -0.3675 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [01:44:34.706900] Epoch: [225] [800/850] eta: 0:00:43 lr: 0.002063 loss: 0.0218 (0.0206) loss_rec_all: 0.0580 (0.0568) loss_rec_sfr: 0.0860 (0.0808) loss_cl: -0.3679 (-0.3673) time: 0.8683 data: 0.0003 max mem: 29859 [01:44:51.962999] Epoch: [225] [820/850] eta: 0:00:26 lr: 0.002063 loss: 0.0213 (0.0206) loss_rec_all: 0.0574 (0.0568) loss_rec_sfr: 0.0867 (0.0810) loss_cl: -0.3684 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [01:45:09.273300] Epoch: [225] [840/850] eta: 0:00:08 lr: 0.002062 loss: 0.0239 (0.0208) loss_rec_all: 0.0601 (0.0569) loss_rec_sfr: 0.0925 (0.0812) loss_cl: -0.3674 (-0.3673) time: 0.8654 data: 0.0005 max mem: 29859 [01:45:17.086369] Epoch: [225] [849/850] eta: 0:00:00 lr: 0.002062 loss: 0.0235 (0.0208) loss_rec_all: 0.0597 (0.0570) loss_rec_sfr: 0.0665 (0.0812) loss_cl: -0.3671 (-0.3673) time: 0.8675 data: 0.0005 max mem: 29859 [01:45:17.227609] Epoch: [225] Total time: 0:12:19 (0.8700 s / it) [01:45:17.232815] Averaged stats: lr: 0.002062 loss: 0.0235 (0.0208) loss_rec_all: 0.0597 (0.0569) loss_rec_sfr: 0.0665 (0.0811) loss_cl: -0.3671 (-0.3673) [01:45:17.254507] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [01:45:21.563305] Epoch: [226] [ 0/850] eta: 1:01:01 lr: 0.002062 loss: 0.0207 (0.0207) loss_rec_all: 0.0570 (0.0570) loss_rec_sfr: 0.0522 (0.0522) loss_cl: -0.3670 (-0.3670) time: 4.3078 data: 2.9731 max mem: 29859 [01:45:38.780865] Epoch: [226] [ 20/850] eta: 0:14:10 lr: 0.002062 loss: 0.0227 (0.0231) loss_rec_all: 0.0586 (0.0592) loss_rec_sfr: 0.0904 (0.0880) loss_cl: -0.3674 (-0.3673) time: 0.8608 data: 0.0002 max mem: 29859 [01:45:56.046221] Epoch: [226] [ 40/850] eta: 0:12:46 lr: 0.002062 loss: 0.0210 (0.0228) loss_rec_all: 0.0573 (0.0589) loss_rec_sfr: 0.0644 (0.0862) loss_cl: -0.3671 (-0.3672) time: 0.8632 data: 0.0003 max mem: 29859 [01:46:13.354523] Epoch: [226] [ 60/850] eta: 0:12:06 lr: 0.002062 loss: 0.0229 (0.0229) loss_rec_all: 0.0591 (0.0590) loss_rec_sfr: 0.0938 (0.0888) loss_cl: -0.3671 (-0.3671) time: 0.8653 data: 0.0004 max mem: 29859 [01:46:30.726700] Epoch: [226] [ 80/850] eta: 0:11:38 lr: 0.002062 loss: 0.0210 (0.0225) loss_rec_all: 0.0572 (0.0586) loss_rec_sfr: 0.0629 (0.0854) loss_cl: -0.3670 (-0.3671) time: 0.8686 data: 0.0010 max mem: 29859 [01:46:47.986502] Epoch: [226] [100/850] eta: 0:11:13 lr: 0.002062 loss: 0.0202 (0.0223) loss_rec_all: 0.0564 (0.0584) loss_rec_sfr: 0.0622 (0.0828) loss_cl: -0.3669 (-0.3671) time: 0.8629 data: 0.0002 max mem: 29859 [01:47:05.333772] Epoch: [226] [120/850] eta: 0:10:51 lr: 0.002062 loss: 0.0204 (0.0220) loss_rec_all: 0.0563 (0.0582) loss_rec_sfr: 0.0620 (0.0818) loss_cl: -0.3668 (-0.3671) time: 0.8673 data: 0.0002 max mem: 29859 [01:47:22.677793] Epoch: [226] [140/850] eta: 0:10:31 lr: 0.002062 loss: 0.0194 (0.0217) loss_rec_all: 0.0557 (0.0579) loss_rec_sfr: 0.0575 (0.0806) loss_cl: -0.3669 (-0.3670) time: 0.8671 data: 0.0003 max mem: 29859 [01:47:39.983977] Epoch: [226] [160/850] eta: 0:10:11 lr: 0.002062 loss: 0.0205 (0.0217) loss_rec_all: 0.0566 (0.0578) loss_rec_sfr: 0.0841 (0.0808) loss_cl: -0.3675 (-0.3671) time: 0.8653 data: 0.0003 max mem: 29859 [01:47:57.250228] Epoch: [226] [180/850] eta: 0:09:52 lr: 0.002062 loss: 0.0189 (0.0215) loss_rec_all: 0.0552 (0.0576) loss_rec_sfr: 0.0588 (0.0798) loss_cl: -0.3675 (-0.3671) time: 0.8633 data: 0.0002 max mem: 29859 [01:48:14.633395] Epoch: [226] [200/850] eta: 0:09:33 lr: 0.002062 loss: 0.0207 (0.0213) loss_rec_all: 0.0567 (0.0575) loss_rec_sfr: 0.0805 (0.0797) loss_cl: -0.3675 (-0.3671) time: 0.8691 data: 0.0004 max mem: 29859 [01:48:31.889548] Epoch: [226] [220/850] eta: 0:09:14 lr: 0.002062 loss: 0.0190 (0.0212) loss_rec_all: 0.0551 (0.0574) loss_rec_sfr: 0.0613 (0.0795) loss_cl: -0.3676 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [01:48:49.197404] Epoch: [226] [240/850] eta: 0:08:56 lr: 0.002061 loss: 0.0218 (0.0212) loss_rec_all: 0.0576 (0.0574) loss_rec_sfr: 0.0933 (0.0809) loss_cl: -0.3672 (-0.3672) time: 0.8653 data: 0.0002 max mem: 29859 [01:49:06.568075] Epoch: [226] [260/850] eta: 0:08:38 lr: 0.002061 loss: 0.0203 (0.0212) loss_rec_all: 0.0562 (0.0574) loss_rec_sfr: 0.0815 (0.0810) loss_cl: -0.3667 (-0.3671) time: 0.8684 data: 0.0003 max mem: 29859 [01:49:23.876230] Epoch: [226] [280/850] eta: 0:08:20 lr: 0.002061 loss: 0.0196 (0.0211) loss_rec_all: 0.0560 (0.0573) loss_rec_sfr: 0.0585 (0.0802) loss_cl: -0.3670 (-0.3671) time: 0.8653 data: 0.0002 max mem: 29859 [01:49:41.141053] Epoch: [226] [300/850] eta: 0:08:02 lr: 0.002061 loss: 0.0199 (0.0211) loss_rec_all: 0.0559 (0.0572) loss_rec_sfr: 0.0678 (0.0801) loss_cl: -0.3678 (-0.3672) time: 0.8632 data: 0.0003 max mem: 29859 [01:49:58.475578] Epoch: [226] [320/850] eta: 0:07:44 lr: 0.002061 loss: 0.0188 (0.0210) loss_rec_all: 0.0552 (0.0571) loss_rec_sfr: 0.0660 (0.0800) loss_cl: -0.3680 (-0.3672) time: 0.8667 data: 0.0003 max mem: 29859 [01:50:15.801095] Epoch: [226] [340/850] eta: 0:07:26 lr: 0.002061 loss: 0.0214 (0.0210) loss_rec_all: 0.0574 (0.0572) loss_rec_sfr: 0.0816 (0.0805) loss_cl: -0.3679 (-0.3672) time: 0.8662 data: 0.0003 max mem: 29859 [01:50:33.094443] Epoch: [226] [360/850] eta: 0:07:08 lr: 0.002061 loss: 0.0199 (0.0210) loss_rec_all: 0.0562 (0.0572) loss_rec_sfr: 0.0802 (0.0806) loss_cl: -0.3677 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [01:50:50.365821] Epoch: [226] [380/850] eta: 0:06:50 lr: 0.002061 loss: 0.0213 (0.0211) loss_rec_all: 0.0575 (0.0573) loss_rec_sfr: 0.0603 (0.0804) loss_cl: -0.3668 (-0.3672) time: 0.8634 data: 0.0003 max mem: 29859 [01:51:07.757368] Epoch: [226] [400/850] eta: 0:06:33 lr: 0.002061 loss: 0.0194 (0.0211) loss_rec_all: 0.0558 (0.0572) loss_rec_sfr: 0.0626 (0.0803) loss_cl: -0.3673 (-0.3672) time: 0.8695 data: 0.0003 max mem: 29859 [01:51:25.009300] Epoch: [226] [420/850] eta: 0:06:15 lr: 0.002061 loss: 0.0203 (0.0210) loss_rec_all: 0.0564 (0.0572) loss_rec_sfr: 0.0663 (0.0801) loss_cl: -0.3674 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [01:51:42.347024] Epoch: [226] [440/850] eta: 0:05:57 lr: 0.002061 loss: 0.0208 (0.0211) loss_rec_all: 0.0568 (0.0572) loss_rec_sfr: 0.0854 (0.0802) loss_cl: -0.3672 (-0.3673) time: 0.8668 data: 0.0003 max mem: 29859 [01:51:59.691500] Epoch: [226] [460/850] eta: 0:05:40 lr: 0.002061 loss: 0.0214 (0.0211) loss_rec_all: 0.0574 (0.0573) loss_rec_sfr: 0.0916 (0.0809) loss_cl: -0.3674 (-0.3673) time: 0.8672 data: 0.0004 max mem: 29859 [01:52:16.996720] Epoch: [226] [480/850] eta: 0:05:22 lr: 0.002060 loss: 0.0204 (0.0211) loss_rec_all: 0.0567 (0.0573) loss_rec_sfr: 0.0580 (0.0805) loss_cl: -0.3676 (-0.3673) time: 0.8652 data: 0.0003 max mem: 29859 [01:52:34.254347] Epoch: [226] [500/850] eta: 0:05:05 lr: 0.002060 loss: 0.0203 (0.0211) loss_rec_all: 0.0565 (0.0573) loss_rec_sfr: 0.0615 (0.0803) loss_cl: -0.3680 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [01:52:51.643457] Epoch: [226] [520/850] eta: 0:04:47 lr: 0.002060 loss: 0.0195 (0.0211) loss_rec_all: 0.0559 (0.0572) loss_rec_sfr: 0.0851 (0.0805) loss_cl: -0.3677 (-0.3673) time: 0.8694 data: 0.0003 max mem: 29859 [01:53:08.929455] Epoch: [226] [540/850] eta: 0:04:30 lr: 0.002060 loss: 0.0183 (0.0210) loss_rec_all: 0.0546 (0.0572) loss_rec_sfr: 0.0609 (0.0801) loss_cl: -0.3671 (-0.3673) time: 0.8642 data: 0.0003 max mem: 29859 [01:53:26.222536] Epoch: [226] [560/850] eta: 0:04:12 lr: 0.002060 loss: 0.0192 (0.0210) loss_rec_all: 0.0555 (0.0571) loss_rec_sfr: 0.0790 (0.0803) loss_cl: -0.3673 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [01:53:43.547682] Epoch: [226] [580/850] eta: 0:03:55 lr: 0.002060 loss: 0.0193 (0.0209) loss_rec_all: 0.0556 (0.0571) loss_rec_sfr: 0.0766 (0.0804) loss_cl: -0.3668 (-0.3673) time: 0.8662 data: 0.0004 max mem: 29859 [01:54:00.892349] Epoch: [226] [600/850] eta: 0:03:37 lr: 0.002060 loss: 0.0206 (0.0209) loss_rec_all: 0.0570 (0.0571) loss_rec_sfr: 0.0798 (0.0805) loss_cl: -0.3665 (-0.3672) time: 0.8672 data: 0.0003 max mem: 29859 [01:54:18.153505] Epoch: [226] [620/850] eta: 0:03:20 lr: 0.002060 loss: 0.0209 (0.0209) loss_rec_all: 0.0567 (0.0571) loss_rec_sfr: 0.0849 (0.0808) loss_cl: -0.3667 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [01:54:35.461842] Epoch: [226] [640/850] eta: 0:03:02 lr: 0.002060 loss: 0.0204 (0.0209) loss_rec_all: 0.0564 (0.0570) loss_rec_sfr: 0.0814 (0.0809) loss_cl: -0.3672 (-0.3672) time: 0.8654 data: 0.0003 max mem: 29859 [01:54:52.787369] Epoch: [226] [660/850] eta: 0:02:45 lr: 0.002060 loss: 0.0200 (0.0209) loss_rec_all: 0.0560 (0.0570) loss_rec_sfr: 0.0848 (0.0809) loss_cl: -0.3672 (-0.3672) time: 0.8662 data: 0.0003 max mem: 29859 [01:55:10.082439] Epoch: [226] [680/850] eta: 0:02:27 lr: 0.002060 loss: 0.0191 (0.0208) loss_rec_all: 0.0555 (0.0570) loss_rec_sfr: 0.0804 (0.0810) loss_cl: -0.3680 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [01:55:27.340925] Epoch: [226] [700/850] eta: 0:02:10 lr: 0.002060 loss: 0.0199 (0.0208) loss_rec_all: 0.0563 (0.0570) loss_rec_sfr: 0.0657 (0.0809) loss_cl: -0.3681 (-0.3673) time: 0.8629 data: 0.0006 max mem: 29859 [01:55:44.721228] Epoch: [226] [720/850] eta: 0:01:53 lr: 0.002060 loss: 0.0221 (0.0209) loss_rec_all: 0.0585 (0.0571) loss_rec_sfr: 0.0856 (0.0809) loss_cl: -0.3674 (-0.3673) time: 0.8689 data: 0.0004 max mem: 29859 [01:56:01.972702] Epoch: [226] [740/850] eta: 0:01:35 lr: 0.002059 loss: 0.0221 (0.0209) loss_rec_all: 0.0580 (0.0571) loss_rec_sfr: 0.0790 (0.0811) loss_cl: -0.3673 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [01:56:19.276562] Epoch: [226] [760/850] eta: 0:01:18 lr: 0.002059 loss: 0.0208 (0.0210) loss_rec_all: 0.0570 (0.0571) loss_rec_sfr: 0.0661 (0.0810) loss_cl: -0.3666 (-0.3673) time: 0.8651 data: 0.0002 max mem: 29859 [01:56:36.613807] Epoch: [226] [780/850] eta: 0:01:00 lr: 0.002059 loss: 0.0214 (0.0210) loss_rec_all: 0.0573 (0.0572) loss_rec_sfr: 0.0621 (0.0809) loss_cl: -0.3668 (-0.3672) time: 0.8668 data: 0.0003 max mem: 29859 [01:56:53.982630] Epoch: [226] [800/850] eta: 0:00:43 lr: 0.002059 loss: 0.0211 (0.0210) loss_rec_all: 0.0574 (0.0572) loss_rec_sfr: 0.0667 (0.0808) loss_cl: -0.3674 (-0.3672) time: 0.8684 data: 0.0003 max mem: 29859 [01:57:11.265200] Epoch: [226] [820/850] eta: 0:00:26 lr: 0.002059 loss: 0.0229 (0.0211) loss_rec_all: 0.0591 (0.0573) loss_rec_sfr: 0.0622 (0.0808) loss_cl: -0.3676 (-0.3673) time: 0.8641 data: 0.0003 max mem: 29859 [01:57:28.552484] Epoch: [226] [840/850] eta: 0:00:08 lr: 0.002059 loss: 0.0217 (0.0211) loss_rec_all: 0.0577 (0.0573) loss_rec_sfr: 0.0649 (0.0809) loss_cl: -0.3667 (-0.3672) time: 0.8643 data: 0.0005 max mem: 29859 [01:57:36.312345] Epoch: [226] [849/850] eta: 0:00:00 lr: 0.002059 loss: 0.0222 (0.0212) loss_rec_all: 0.0584 (0.0573) loss_rec_sfr: 0.0649 (0.0810) loss_cl: -0.3668 (-0.3672) time: 0.8639 data: 0.0004 max mem: 29859 [01:57:36.471797] Epoch: [226] Total time: 0:12:19 (0.8697 s / it) [01:57:36.478368] Averaged stats: lr: 0.002059 loss: 0.0222 (0.0211) loss_rec_all: 0.0584 (0.0573) loss_rec_sfr: 0.0649 (0.0811) loss_cl: -0.3668 (-0.3673) [01:57:36.495619] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [01:57:41.254114] Epoch: [227] [ 0/850] eta: 1:07:23 lr: 0.002059 loss: 0.0224 (0.0224) loss_rec_all: 0.0584 (0.0584) loss_rec_sfr: 0.1012 (0.1012) loss_cl: -0.3670 (-0.3670) time: 4.7575 data: 3.8936 max mem: 29859 [01:57:58.550873] Epoch: [227] [ 20/850] eta: 0:14:31 lr: 0.002059 loss: 0.0214 (0.0221) loss_rec_all: 0.0575 (0.0583) loss_rec_sfr: 0.0629 (0.0778) loss_cl: -0.3670 (-0.3670) time: 0.8648 data: 0.0004 max mem: 29859 [01:58:15.800077] Epoch: [227] [ 40/850] eta: 0:12:56 lr: 0.002059 loss: 0.0213 (0.0220) loss_rec_all: 0.0572 (0.0582) loss_rec_sfr: 0.0847 (0.0789) loss_cl: -0.3674 (-0.3671) time: 0.8624 data: 0.0003 max mem: 29859 [01:58:33.031304] Epoch: [227] [ 60/850] eta: 0:12:12 lr: 0.002059 loss: 0.0197 (0.0214) loss_rec_all: 0.0560 (0.0576) loss_rec_sfr: 0.0804 (0.0813) loss_cl: -0.3674 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [01:58:50.397273] Epoch: [227] [ 80/850] eta: 0:11:42 lr: 0.002059 loss: 0.0194 (0.0213) loss_rec_all: 0.0557 (0.0574) loss_rec_sfr: 0.0850 (0.0816) loss_cl: -0.3673 (-0.3672) time: 0.8682 data: 0.0004 max mem: 29859 [01:59:07.626729] Epoch: [227] [100/850] eta: 0:11:16 lr: 0.002059 loss: 0.0214 (0.0215) loss_rec_all: 0.0575 (0.0577) loss_rec_sfr: 0.0652 (0.0809) loss_cl: -0.3674 (-0.3672) time: 0.8614 data: 0.0002 max mem: 29859 [01:59:24.889434] Epoch: [227] [120/850] eta: 0:10:53 lr: 0.002058 loss: 0.0189 (0.0214) loss_rec_all: 0.0552 (0.0575) loss_rec_sfr: 0.0600 (0.0797) loss_cl: -0.3670 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [01:59:42.186938] Epoch: [227] [140/850] eta: 0:10:32 lr: 0.002058 loss: 0.0192 (0.0212) loss_rec_all: 0.0552 (0.0573) loss_rec_sfr: 0.0630 (0.0802) loss_cl: -0.3673 (-0.3672) time: 0.8648 data: 0.0003 max mem: 29859 [01:59:59.476199] Epoch: [227] [160/850] eta: 0:10:12 lr: 0.002058 loss: 0.0196 (0.0211) loss_rec_all: 0.0556 (0.0573) loss_rec_sfr: 0.0842 (0.0803) loss_cl: -0.3677 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [02:00:16.708341] Epoch: [227] [180/850] eta: 0:09:53 lr: 0.002058 loss: 0.0183 (0.0209) loss_rec_all: 0.0547 (0.0571) loss_rec_sfr: 0.0607 (0.0796) loss_cl: -0.3678 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [02:00:34.053441] Epoch: [227] [200/850] eta: 0:09:34 lr: 0.002058 loss: 0.0187 (0.0208) loss_rec_all: 0.0549 (0.0570) loss_rec_sfr: 0.0591 (0.0789) loss_cl: -0.3678 (-0.3674) time: 0.8672 data: 0.0003 max mem: 29859 [02:00:51.344202] Epoch: [227] [220/850] eta: 0:09:15 lr: 0.002058 loss: 0.0214 (0.0208) loss_rec_all: 0.0574 (0.0570) loss_rec_sfr: 0.0927 (0.0804) loss_cl: -0.3677 (-0.3674) time: 0.8645 data: 0.0003 max mem: 29859 [02:01:08.629917] Epoch: [227] [240/850] eta: 0:08:56 lr: 0.002058 loss: 0.0205 (0.0208) loss_rec_all: 0.0565 (0.0570) loss_rec_sfr: 0.0812 (0.0809) loss_cl: -0.3675 (-0.3674) time: 0.8642 data: 0.0002 max mem: 29859 [02:01:25.911747] Epoch: [227] [260/850] eta: 0:08:38 lr: 0.002058 loss: 0.0192 (0.0207) loss_rec_all: 0.0554 (0.0569) loss_rec_sfr: 0.0605 (0.0806) loss_cl: -0.3675 (-0.3674) time: 0.8640 data: 0.0005 max mem: 29859 [02:01:43.284660] Epoch: [227] [280/850] eta: 0:08:20 lr: 0.002058 loss: 0.0198 (0.0207) loss_rec_all: 0.0558 (0.0568) loss_rec_sfr: 0.0626 (0.0804) loss_cl: -0.3667 (-0.3674) time: 0.8686 data: 0.0003 max mem: 29859 [02:02:00.545879] Epoch: [227] [300/850] eta: 0:08:02 lr: 0.002058 loss: 0.0193 (0.0206) loss_rec_all: 0.0555 (0.0568) loss_rec_sfr: 0.0645 (0.0803) loss_cl: -0.3668 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [02:02:17.855715] Epoch: [227] [320/850] eta: 0:07:44 lr: 0.002058 loss: 0.0186 (0.0206) loss_rec_all: 0.0549 (0.0567) loss_rec_sfr: 0.0554 (0.0796) loss_cl: -0.3673 (-0.3673) time: 0.8654 data: 0.0002 max mem: 29859 [02:02:35.162446] Epoch: [227] [340/850] eta: 0:07:26 lr: 0.002058 loss: 0.0191 (0.0205) loss_rec_all: 0.0551 (0.0567) loss_rec_sfr: 0.0619 (0.0796) loss_cl: -0.3675 (-0.3673) time: 0.8652 data: 0.0003 max mem: 29859 [02:02:52.459808] Epoch: [227] [360/850] eta: 0:07:08 lr: 0.002058 loss: 0.0198 (0.0205) loss_rec_all: 0.0560 (0.0567) loss_rec_sfr: 0.0670 (0.0795) loss_cl: -0.3677 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [02:03:09.708154] Epoch: [227] [380/850] eta: 0:06:51 lr: 0.002057 loss: 0.0218 (0.0206) loss_rec_all: 0.0581 (0.0568) loss_rec_sfr: 0.0787 (0.0804) loss_cl: -0.3677 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [02:03:27.096001] Epoch: [227] [400/850] eta: 0:06:33 lr: 0.002057 loss: 0.0227 (0.0207) loss_rec_all: 0.0585 (0.0569) loss_rec_sfr: 0.0835 (0.0810) loss_cl: -0.3672 (-0.3674) time: 0.8693 data: 0.0003 max mem: 29859 [02:03:44.367344] Epoch: [227] [420/850] eta: 0:06:15 lr: 0.002057 loss: 0.0200 (0.0207) loss_rec_all: 0.0562 (0.0569) loss_rec_sfr: 0.0857 (0.0812) loss_cl: -0.3672 (-0.3673) time: 0.8635 data: 0.0003 max mem: 29859 [02:04:01.650097] Epoch: [227] [440/850] eta: 0:05:58 lr: 0.002057 loss: 0.0196 (0.0207) loss_rec_all: 0.0559 (0.0569) loss_rec_sfr: 0.0632 (0.0811) loss_cl: -0.3674 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [02:04:18.975633] Epoch: [227] [460/850] eta: 0:05:40 lr: 0.002057 loss: 0.0204 (0.0207) loss_rec_all: 0.0566 (0.0569) loss_rec_sfr: 0.0634 (0.0811) loss_cl: -0.3674 (-0.3673) time: 0.8661 data: 0.0003 max mem: 29859 [02:04:36.423841] Epoch: [227] [480/850] eta: 0:05:22 lr: 0.002057 loss: 0.0210 (0.0207) loss_rec_all: 0.0570 (0.0569) loss_rec_sfr: 0.0902 (0.0816) loss_cl: -0.3674 (-0.3674) time: 0.8724 data: 0.0004 max mem: 29859 [02:04:53.741950] Epoch: [227] [500/850] eta: 0:05:05 lr: 0.002057 loss: 0.0198 (0.0207) loss_rec_all: 0.0560 (0.0569) loss_rec_sfr: 0.0706 (0.0813) loss_cl: -0.3674 (-0.3674) time: 0.8659 data: 0.0004 max mem: 29859 [02:05:11.053628] Epoch: [227] [520/850] eta: 0:04:47 lr: 0.002057 loss: 0.0201 (0.0207) loss_rec_all: 0.0562 (0.0568) loss_rec_sfr: 0.0913 (0.0816) loss_cl: -0.3673 (-0.3673) time: 0.8655 data: 0.0005 max mem: 29859 [02:05:28.304774] Epoch: [227] [540/850] eta: 0:04:30 lr: 0.002057 loss: 0.0186 (0.0206) loss_rec_all: 0.0548 (0.0568) loss_rec_sfr: 0.0546 (0.0811) loss_cl: -0.3672 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [02:05:45.752498] Epoch: [227] [560/850] eta: 0:04:12 lr: 0.002057 loss: 0.0187 (0.0206) loss_rec_all: 0.0551 (0.0567) loss_rec_sfr: 0.0635 (0.0808) loss_cl: -0.3678 (-0.3674) time: 0.8723 data: 0.0003 max mem: 29859 [02:06:02.997214] Epoch: [227] [580/850] eta: 0:03:55 lr: 0.002057 loss: 0.0191 (0.0206) loss_rec_all: 0.0554 (0.0567) loss_rec_sfr: 0.0788 (0.0808) loss_cl: -0.3678 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [02:06:20.278957] Epoch: [227] [600/850] eta: 0:03:37 lr: 0.002057 loss: 0.0180 (0.0205) loss_rec_all: 0.0543 (0.0567) loss_rec_sfr: 0.0538 (0.0804) loss_cl: -0.3674 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [02:06:37.614065] Epoch: [227] [620/850] eta: 0:03:20 lr: 0.002056 loss: 0.0185 (0.0205) loss_rec_all: 0.0548 (0.0566) loss_rec_sfr: 0.0576 (0.0800) loss_cl: -0.3672 (-0.3674) time: 0.8667 data: 0.0003 max mem: 29859 [02:06:54.909737] Epoch: [227] [640/850] eta: 0:03:02 lr: 0.002056 loss: 0.0193 (0.0205) loss_rec_all: 0.0553 (0.0566) loss_rec_sfr: 0.0614 (0.0799) loss_cl: -0.3665 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [02:07:12.159133] Epoch: [227] [660/850] eta: 0:02:45 lr: 0.002056 loss: 0.0203 (0.0205) loss_rec_all: 0.0565 (0.0566) loss_rec_sfr: 0.0599 (0.0799) loss_cl: -0.3668 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [02:07:29.525990] Epoch: [227] [680/850] eta: 0:02:28 lr: 0.002056 loss: 0.0200 (0.0205) loss_rec_all: 0.0563 (0.0566) loss_rec_sfr: 0.0584 (0.0798) loss_cl: -0.3675 (-0.3673) time: 0.8683 data: 0.0003 max mem: 29859 [02:07:46.818685] Epoch: [227] [700/850] eta: 0:02:10 lr: 0.002056 loss: 0.0213 (0.0205) loss_rec_all: 0.0577 (0.0567) loss_rec_sfr: 0.0860 (0.0801) loss_cl: -0.3680 (-0.3673) time: 0.8646 data: 0.0003 max mem: 29859 [02:08:04.104254] Epoch: [227] [720/850] eta: 0:01:53 lr: 0.002056 loss: 0.0199 (0.0205) loss_rec_all: 0.0563 (0.0567) loss_rec_sfr: 0.0596 (0.0798) loss_cl: -0.3679 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [02:08:21.385256] Epoch: [227] [740/850] eta: 0:01:35 lr: 0.002056 loss: 0.0218 (0.0206) loss_rec_all: 0.0581 (0.0567) loss_rec_sfr: 0.0794 (0.0800) loss_cl: -0.3677 (-0.3674) time: 0.8640 data: 0.0003 max mem: 29859 [02:08:38.749850] Epoch: [227] [760/850] eta: 0:01:18 lr: 0.002056 loss: 0.0204 (0.0206) loss_rec_all: 0.0567 (0.0568) loss_rec_sfr: 0.0690 (0.0799) loss_cl: -0.3671 (-0.3673) time: 0.8682 data: 0.0004 max mem: 29859 [02:08:56.004679] Epoch: [227] [780/850] eta: 0:01:00 lr: 0.002056 loss: 0.0199 (0.0206) loss_rec_all: 0.0561 (0.0568) loss_rec_sfr: 0.0615 (0.0797) loss_cl: -0.3668 (-0.3673) time: 0.8627 data: 0.0003 max mem: 29859 [02:09:13.309106] Epoch: [227] [800/850] eta: 0:00:43 lr: 0.002056 loss: 0.0204 (0.0206) loss_rec_all: 0.0567 (0.0568) loss_rec_sfr: 0.0619 (0.0797) loss_cl: -0.3673 (-0.3673) time: 0.8651 data: 0.0002 max mem: 29859 [02:09:30.644603] Epoch: [227] [820/850] eta: 0:00:26 lr: 0.002056 loss: 0.0201 (0.0206) loss_rec_all: 0.0564 (0.0568) loss_rec_sfr: 0.0629 (0.0796) loss_cl: -0.3672 (-0.3673) time: 0.8667 data: 0.0003 max mem: 29859 [02:09:47.933179] Epoch: [227] [840/850] eta: 0:00:08 lr: 0.002056 loss: 0.0191 (0.0206) loss_rec_all: 0.0553 (0.0568) loss_rec_sfr: 0.0593 (0.0794) loss_cl: -0.3671 (-0.3673) time: 0.8644 data: 0.0005 max mem: 29859 [02:09:55.697704] Epoch: [227] [849/850] eta: 0:00:00 lr: 0.002056 loss: 0.0187 (0.0206) loss_rec_all: 0.0551 (0.0567) loss_rec_sfr: 0.0607 (0.0794) loss_cl: -0.3671 (-0.3673) time: 0.8645 data: 0.0005 max mem: 29859 [02:09:55.837763] Epoch: [227] Total time: 0:12:19 (0.8698 s / it) [02:09:55.841174] Averaged stats: lr: 0.002056 loss: 0.0187 (0.0206) loss_rec_all: 0.0551 (0.0568) loss_rec_sfr: 0.0607 (0.0804) loss_cl: -0.3671 (-0.3673) [02:09:55.853751] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [02:10:00.103593] Epoch: [228] [ 0/850] eta: 1:00:11 lr: 0.002056 loss: 0.0166 (0.0166) loss_rec_all: 0.0528 (0.0528) loss_rec_sfr: 0.0579 (0.0579) loss_cl: -0.3665 (-0.3665) time: 4.2490 data: 3.3948 max mem: 29859 [02:10:17.380309] Epoch: [228] [ 20/850] eta: 0:14:10 lr: 0.002055 loss: 0.0177 (0.0185) loss_rec_all: 0.0541 (0.0547) loss_rec_sfr: 0.0607 (0.0732) loss_cl: -0.3673 (-0.3673) time: 0.8638 data: 0.0003 max mem: 29859 [02:10:34.660222] Epoch: [228] [ 40/850] eta: 0:12:46 lr: 0.002055 loss: 0.0184 (0.0189) loss_rec_all: 0.0545 (0.0551) loss_rec_sfr: 0.0799 (0.0767) loss_cl: -0.3675 (-0.3674) time: 0.8639 data: 0.0003 max mem: 29859 [02:10:51.904231] Epoch: [228] [ 60/850] eta: 0:12:05 lr: 0.002055 loss: 0.0185 (0.0190) loss_rec_all: 0.0548 (0.0551) loss_rec_sfr: 0.0946 (0.0820) loss_cl: -0.3675 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [02:11:09.214274] Epoch: [228] [ 80/850] eta: 0:11:37 lr: 0.002055 loss: 0.0199 (0.0193) loss_rec_all: 0.0560 (0.0555) loss_rec_sfr: 0.0837 (0.0832) loss_cl: -0.3678 (-0.3675) time: 0.8654 data: 0.0003 max mem: 29859 [02:11:26.487451] Epoch: [228] [100/850] eta: 0:11:12 lr: 0.002055 loss: 0.0189 (0.0196) loss_rec_all: 0.0554 (0.0558) loss_rec_sfr: 0.0670 (0.0819) loss_cl: -0.3679 (-0.3676) time: 0.8636 data: 0.0003 max mem: 29859 [02:11:43.763137] Epoch: [228] [120/850] eta: 0:10:50 lr: 0.002055 loss: 0.0189 (0.0197) loss_rec_all: 0.0554 (0.0559) loss_rec_sfr: 0.0569 (0.0801) loss_cl: -0.3675 (-0.3676) time: 0.8637 data: 0.0002 max mem: 29859 [02:12:01.007743] Epoch: [228] [140/850] eta: 0:10:30 lr: 0.002055 loss: 0.0200 (0.0198) loss_rec_all: 0.0563 (0.0559) loss_rec_sfr: 0.0616 (0.0790) loss_cl: -0.3669 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [02:12:18.364791] Epoch: [228] [160/850] eta: 0:10:10 lr: 0.002055 loss: 0.0201 (0.0198) loss_rec_all: 0.0563 (0.0560) loss_rec_sfr: 0.0629 (0.0790) loss_cl: -0.3669 (-0.3674) time: 0.8678 data: 0.0003 max mem: 29859 [02:12:35.615198] Epoch: [228] [180/850] eta: 0:09:51 lr: 0.002055 loss: 0.0196 (0.0199) loss_rec_all: 0.0559 (0.0561) loss_rec_sfr: 0.0617 (0.0787) loss_cl: -0.3670 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [02:12:52.919283] Epoch: [228] [200/850] eta: 0:09:32 lr: 0.002055 loss: 0.0204 (0.0201) loss_rec_all: 0.0565 (0.0562) loss_rec_sfr: 0.0852 (0.0793) loss_cl: -0.3674 (-0.3673) time: 0.8651 data: 0.0003 max mem: 29859 [02:13:10.287731] Epoch: [228] [220/850] eta: 0:09:14 lr: 0.002055 loss: 0.0209 (0.0202) loss_rec_all: 0.0573 (0.0564) loss_rec_sfr: 0.0677 (0.0800) loss_cl: -0.3675 (-0.3673) time: 0.8684 data: 0.0003 max mem: 29859 [02:13:27.591906] Epoch: [228] [240/850] eta: 0:08:55 lr: 0.002055 loss: 0.0204 (0.0203) loss_rec_all: 0.0563 (0.0565) loss_rec_sfr: 0.0656 (0.0801) loss_cl: -0.3671 (-0.3673) time: 0.8652 data: 0.0002 max mem: 29859 [02:13:44.842615] Epoch: [228] [260/850] eta: 0:08:37 lr: 0.002054 loss: 0.0216 (0.0204) loss_rec_all: 0.0574 (0.0566) loss_rec_sfr: 0.0856 (0.0808) loss_cl: -0.3670 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [02:14:02.237279] Epoch: [228] [280/850] eta: 0:08:19 lr: 0.002054 loss: 0.0194 (0.0204) loss_rec_all: 0.0553 (0.0566) loss_rec_sfr: 0.0825 (0.0806) loss_cl: -0.3674 (-0.3673) time: 0.8695 data: 0.0004 max mem: 29859 [02:14:19.556632] Epoch: [228] [300/850] eta: 0:08:01 lr: 0.002054 loss: 0.0195 (0.0204) loss_rec_all: 0.0555 (0.0566) loss_rec_sfr: 0.0871 (0.0810) loss_cl: -0.3680 (-0.3673) time: 0.8659 data: 0.0008 max mem: 29859 [02:14:36.907817] Epoch: [228] [320/850] eta: 0:07:44 lr: 0.002054 loss: 0.0188 (0.0203) loss_rec_all: 0.0551 (0.0565) loss_rec_sfr: 0.0565 (0.0804) loss_cl: -0.3674 (-0.3673) time: 0.8675 data: 0.0003 max mem: 29859 [02:14:54.227141] Epoch: [228] [340/850] eta: 0:07:26 lr: 0.002054 loss: 0.0209 (0.0204) loss_rec_all: 0.0569 (0.0566) loss_rec_sfr: 0.0826 (0.0805) loss_cl: -0.3672 (-0.3673) time: 0.8657 data: 0.0003 max mem: 29859 [02:15:11.593400] Epoch: [228] [360/850] eta: 0:07:08 lr: 0.002054 loss: 0.0186 (0.0204) loss_rec_all: 0.0550 (0.0565) loss_rec_sfr: 0.0564 (0.0802) loss_cl: -0.3680 (-0.3673) time: 0.8682 data: 0.0004 max mem: 29859 [02:15:28.856081] Epoch: [228] [380/850] eta: 0:06:50 lr: 0.002054 loss: 0.0198 (0.0203) loss_rec_all: 0.0561 (0.0565) loss_rec_sfr: 0.0612 (0.0804) loss_cl: -0.3676 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [02:15:46.167333] Epoch: [228] [400/850] eta: 0:06:33 lr: 0.002054 loss: 0.0192 (0.0204) loss_rec_all: 0.0557 (0.0565) loss_rec_sfr: 0.0875 (0.0808) loss_cl: -0.3675 (-0.3673) time: 0.8655 data: 0.0002 max mem: 29859 [02:16:03.512771] Epoch: [228] [420/850] eta: 0:06:15 lr: 0.002054 loss: 0.0204 (0.0204) loss_rec_all: 0.0566 (0.0565) loss_rec_sfr: 0.0650 (0.0808) loss_cl: -0.3672 (-0.3673) time: 0.8672 data: 0.0003 max mem: 29859 [02:16:20.795411] Epoch: [228] [440/850] eta: 0:05:57 lr: 0.002054 loss: 0.0203 (0.0204) loss_rec_all: 0.0565 (0.0566) loss_rec_sfr: 0.0963 (0.0814) loss_cl: -0.3672 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [02:16:38.035894] Epoch: [228] [460/850] eta: 0:05:40 lr: 0.002054 loss: 0.0215 (0.0205) loss_rec_all: 0.0575 (0.0566) loss_rec_sfr: 0.0800 (0.0813) loss_cl: -0.3667 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [02:16:55.442418] Epoch: [228] [480/850] eta: 0:05:22 lr: 0.002054 loss: 0.0216 (0.0205) loss_rec_all: 0.0575 (0.0567) loss_rec_sfr: 0.0843 (0.0816) loss_cl: -0.3674 (-0.3673) time: 0.8702 data: 0.0005 max mem: 29859 [02:17:12.712989] Epoch: [228] [500/850] eta: 0:05:05 lr: 0.002053 loss: 0.0205 (0.0205) loss_rec_all: 0.0565 (0.0567) loss_rec_sfr: 0.1009 (0.0820) loss_cl: -0.3677 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [02:17:30.028190] Epoch: [228] [520/850] eta: 0:04:47 lr: 0.002053 loss: 0.0217 (0.0206) loss_rec_all: 0.0575 (0.0567) loss_rec_sfr: 0.0831 (0.0823) loss_cl: -0.3672 (-0.3673) time: 0.8657 data: 0.0002 max mem: 29859 [02:17:47.345471] Epoch: [228] [540/850] eta: 0:04:30 lr: 0.002053 loss: 0.0201 (0.0206) loss_rec_all: 0.0562 (0.0568) loss_rec_sfr: 0.0620 (0.0820) loss_cl: -0.3672 (-0.3673) time: 0.8658 data: 0.0003 max mem: 29859 [02:18:04.683026] Epoch: [228] [560/850] eta: 0:04:12 lr: 0.002053 loss: 0.0210 (0.0207) loss_rec_all: 0.0572 (0.0568) loss_rec_sfr: 0.0673 (0.0819) loss_cl: -0.3672 (-0.3673) time: 0.8668 data: 0.0003 max mem: 29859 [02:18:21.934990] Epoch: [228] [580/850] eta: 0:03:55 lr: 0.002053 loss: 0.0204 (0.0207) loss_rec_all: 0.0566 (0.0569) loss_rec_sfr: 0.0804 (0.0819) loss_cl: -0.3671 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [02:18:39.273669] Epoch: [228] [600/850] eta: 0:03:37 lr: 0.002053 loss: 0.0214 (0.0207) loss_rec_all: 0.0577 (0.0569) loss_rec_sfr: 0.0650 (0.0821) loss_cl: -0.3671 (-0.3673) time: 0.8668 data: 0.0002 max mem: 29859 [02:18:56.578178] Epoch: [228] [620/850] eta: 0:03:20 lr: 0.002053 loss: 0.0199 (0.0208) loss_rec_all: 0.0561 (0.0569) loss_rec_sfr: 0.0664 (0.0820) loss_cl: -0.3671 (-0.3673) time: 0.8652 data: 0.0003 max mem: 29859 [02:19:13.869381] Epoch: [228] [640/850] eta: 0:03:02 lr: 0.002053 loss: 0.0225 (0.0208) loss_rec_all: 0.0587 (0.0570) loss_rec_sfr: 0.0884 (0.0821) loss_cl: -0.3670 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [02:19:31.152093] Epoch: [228] [660/850] eta: 0:02:45 lr: 0.002053 loss: 0.0204 (0.0209) loss_rec_all: 0.0566 (0.0570) loss_rec_sfr: 0.0695 (0.0823) loss_cl: -0.3672 (-0.3673) time: 0.8641 data: 0.0003 max mem: 29859 [02:19:48.530607] Epoch: [228] [680/850] eta: 0:02:27 lr: 0.002053 loss: 0.0207 (0.0209) loss_rec_all: 0.0568 (0.0570) loss_rec_sfr: 0.0818 (0.0824) loss_cl: -0.3675 (-0.3673) time: 0.8688 data: 0.0004 max mem: 29859 [02:20:05.778787] Epoch: [228] [700/850] eta: 0:02:10 lr: 0.002053 loss: 0.0200 (0.0209) loss_rec_all: 0.0564 (0.0570) loss_rec_sfr: 0.0678 (0.0823) loss_cl: -0.3679 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [02:20:23.086035] Epoch: [228] [720/850] eta: 0:01:53 lr: 0.002053 loss: 0.0195 (0.0209) loss_rec_all: 0.0558 (0.0570) loss_rec_sfr: 0.0676 (0.0822) loss_cl: -0.3678 (-0.3673) time: 0.8651 data: 0.0004 max mem: 29859 [02:20:40.412419] Epoch: [228] [740/850] eta: 0:01:35 lr: 0.002052 loss: 0.0211 (0.0209) loss_rec_all: 0.0574 (0.0571) loss_rec_sfr: 0.0625 (0.0821) loss_cl: -0.3683 (-0.3673) time: 0.8662 data: 0.0003 max mem: 29859 [02:20:57.721940] Epoch: [228] [760/850] eta: 0:01:18 lr: 0.002052 loss: 0.0213 (0.0209) loss_rec_all: 0.0573 (0.0571) loss_rec_sfr: 0.0847 (0.0822) loss_cl: -0.3677 (-0.3673) time: 0.8654 data: 0.0003 max mem: 29859 [02:21:14.962835] Epoch: [228] [780/850] eta: 0:01:00 lr: 0.002052 loss: 0.0224 (0.0210) loss_rec_all: 0.0583 (0.0571) loss_rec_sfr: 0.0907 (0.0824) loss_cl: -0.3670 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [02:21:32.347776] Epoch: [228] [800/850] eta: 0:00:43 lr: 0.002052 loss: 0.0227 (0.0210) loss_rec_all: 0.0587 (0.0572) loss_rec_sfr: 0.0846 (0.0825) loss_cl: -0.3665 (-0.3673) time: 0.8692 data: 0.0004 max mem: 29859 [02:21:49.625779] Epoch: [228] [820/850] eta: 0:00:26 lr: 0.002052 loss: 0.0208 (0.0210) loss_rec_all: 0.0567 (0.0572) loss_rec_sfr: 0.0821 (0.0825) loss_cl: -0.3665 (-0.3673) time: 0.8638 data: 0.0010 max mem: 29859 [02:22:06.913868] Epoch: [228] [840/850] eta: 0:00:08 lr: 0.002052 loss: 0.0200 (0.0210) loss_rec_all: 0.0561 (0.0572) loss_rec_sfr: 0.0679 (0.0824) loss_cl: -0.3675 (-0.3673) time: 0.8644 data: 0.0005 max mem: 29859 [02:22:14.681607] Epoch: [228] [849/850] eta: 0:00:00 lr: 0.002052 loss: 0.0198 (0.0210) loss_rec_all: 0.0558 (0.0572) loss_rec_sfr: 0.0679 (0.0824) loss_cl: -0.3679 (-0.3673) time: 0.8642 data: 0.0005 max mem: 29859 [02:22:14.829710] Epoch: [228] Total time: 0:12:18 (0.8694 s / it) [02:22:14.834531] Averaged stats: lr: 0.002052 loss: 0.0198 (0.0209) loss_rec_all: 0.0558 (0.0571) loss_rec_sfr: 0.0679 (0.0814) loss_cl: -0.3679 (-0.3673) [02:22:14.849928] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [02:22:19.650714] Epoch: [229] [ 0/850] eta: 1:07:59 lr: 0.002052 loss: 0.0193 (0.0193) loss_rec_all: 0.0558 (0.0558) loss_rec_sfr: 0.0614 (0.0614) loss_cl: -0.3690 (-0.3690) time: 4.7995 data: 3.9333 max mem: 29859 [02:22:36.877133] Epoch: [229] [ 20/850] eta: 0:14:30 lr: 0.002052 loss: 0.0196 (0.0198) loss_rec_all: 0.0558 (0.0560) loss_rec_sfr: 0.0678 (0.0762) loss_cl: -0.3678 (-0.3678) time: 0.8612 data: 0.0003 max mem: 29859 [02:22:54.135129] Epoch: [229] [ 40/850] eta: 0:12:56 lr: 0.002052 loss: 0.0183 (0.0194) loss_rec_all: 0.0546 (0.0557) loss_rec_sfr: 0.0605 (0.0739) loss_cl: -0.3676 (-0.3676) time: 0.8628 data: 0.0003 max mem: 29859 [02:23:11.427587] Epoch: [229] [ 60/850] eta: 0:12:12 lr: 0.002052 loss: 0.0192 (0.0195) loss_rec_all: 0.0551 (0.0557) loss_rec_sfr: 0.0803 (0.0755) loss_cl: -0.3670 (-0.3673) time: 0.8646 data: 0.0003 max mem: 29859 [02:23:28.796323] Epoch: [229] [ 80/850] eta: 0:11:42 lr: 0.002052 loss: 0.0191 (0.0196) loss_rec_all: 0.0551 (0.0557) loss_rec_sfr: 0.0873 (0.0768) loss_cl: -0.3664 (-0.3671) time: 0.8683 data: 0.0004 max mem: 29859 [02:23:46.046671] Epoch: [229] [100/850] eta: 0:11:17 lr: 0.002052 loss: 0.0203 (0.0198) loss_rec_all: 0.0564 (0.0560) loss_rec_sfr: 0.0809 (0.0791) loss_cl: -0.3669 (-0.3670) time: 0.8625 data: 0.0003 max mem: 29859 [02:24:03.334128] Epoch: [229] [120/850] eta: 0:10:54 lr: 0.002052 loss: 0.0204 (0.0200) loss_rec_all: 0.0566 (0.0562) loss_rec_sfr: 0.0622 (0.0788) loss_cl: -0.3673 (-0.3671) time: 0.8643 data: 0.0002 max mem: 29859 [02:24:20.679940] Epoch: [229] [140/850] eta: 0:10:33 lr: 0.002051 loss: 0.0196 (0.0200) loss_rec_all: 0.0558 (0.0562) loss_rec_sfr: 0.0632 (0.0791) loss_cl: -0.3675 (-0.3671) time: 0.8672 data: 0.0004 max mem: 29859 [02:24:37.990747] Epoch: [229] [160/850] eta: 0:10:13 lr: 0.002051 loss: 0.0193 (0.0200) loss_rec_all: 0.0555 (0.0562) loss_rec_sfr: 0.0688 (0.0794) loss_cl: -0.3679 (-0.3672) time: 0.8655 data: 0.0002 max mem: 29859 [02:24:55.231064] Epoch: [229] [180/850] eta: 0:09:53 lr: 0.002051 loss: 0.0202 (0.0201) loss_rec_all: 0.0567 (0.0563) loss_rec_sfr: 0.0783 (0.0794) loss_cl: -0.3683 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [02:25:12.586126] Epoch: [229] [200/850] eta: 0:09:34 lr: 0.002051 loss: 0.0192 (0.0200) loss_rec_all: 0.0555 (0.0562) loss_rec_sfr: 0.0609 (0.0790) loss_cl: -0.3677 (-0.3674) time: 0.8677 data: 0.0003 max mem: 29859 [02:25:29.860946] Epoch: [229] [220/850] eta: 0:09:15 lr: 0.002051 loss: 0.0195 (0.0201) loss_rec_all: 0.0555 (0.0562) loss_rec_sfr: 0.0654 (0.0788) loss_cl: -0.3670 (-0.3673) time: 0.8637 data: 0.0003 max mem: 29859 [02:25:47.140564] Epoch: [229] [240/850] eta: 0:08:57 lr: 0.002051 loss: 0.0189 (0.0200) loss_rec_all: 0.0552 (0.0562) loss_rec_sfr: 0.0552 (0.0779) loss_cl: -0.3665 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [02:26:04.444094] Epoch: [229] [260/850] eta: 0:08:38 lr: 0.002051 loss: 0.0194 (0.0200) loss_rec_all: 0.0556 (0.0562) loss_rec_sfr: 0.0619 (0.0780) loss_cl: -0.3667 (-0.3672) time: 0.8651 data: 0.0004 max mem: 29859 [02:26:21.791921] Epoch: [229] [280/850] eta: 0:08:20 lr: 0.002051 loss: 0.0191 (0.0200) loss_rec_all: 0.0553 (0.0562) loss_rec_sfr: 0.0601 (0.0778) loss_cl: -0.3674 (-0.3672) time: 0.8673 data: 0.0003 max mem: 29859 [02:26:39.050773] Epoch: [229] [300/850] eta: 0:08:02 lr: 0.002051 loss: 0.0196 (0.0200) loss_rec_all: 0.0560 (0.0562) loss_rec_sfr: 0.0821 (0.0783) loss_cl: -0.3681 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [02:26:56.386645] Epoch: [229] [320/850] eta: 0:07:44 lr: 0.002051 loss: 0.0201 (0.0201) loss_rec_all: 0.0565 (0.0563) loss_rec_sfr: 0.0887 (0.0786) loss_cl: -0.3682 (-0.3673) time: 0.8666 data: 0.0009 max mem: 29859 [02:27:13.722750] Epoch: [229] [340/850] eta: 0:07:26 lr: 0.002051 loss: 0.0199 (0.0201) loss_rec_all: 0.0558 (0.0563) loss_rec_sfr: 0.0635 (0.0789) loss_cl: -0.3677 (-0.3673) time: 0.8667 data: 0.0004 max mem: 29859 [02:27:31.007309] Epoch: [229] [360/850] eta: 0:07:09 lr: 0.002051 loss: 0.0194 (0.0201) loss_rec_all: 0.0557 (0.0563) loss_rec_sfr: 0.0775 (0.0787) loss_cl: -0.3671 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [02:27:48.273280] Epoch: [229] [380/850] eta: 0:06:51 lr: 0.002050 loss: 0.0183 (0.0201) loss_rec_all: 0.0546 (0.0563) loss_rec_sfr: 0.0570 (0.0781) loss_cl: -0.3674 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [02:28:05.678732] Epoch: [229] [400/850] eta: 0:06:33 lr: 0.002050 loss: 0.0196 (0.0201) loss_rec_all: 0.0558 (0.0563) loss_rec_sfr: 0.0820 (0.0782) loss_cl: -0.3679 (-0.3674) time: 0.8702 data: 0.0004 max mem: 29859 [02:28:22.940388] Epoch: [229] [420/850] eta: 0:06:15 lr: 0.002050 loss: 0.0186 (0.0201) loss_rec_all: 0.0548 (0.0563) loss_rec_sfr: 0.0607 (0.0778) loss_cl: -0.3678 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [02:28:40.226098] Epoch: [229] [440/850] eta: 0:05:58 lr: 0.002050 loss: 0.0194 (0.0201) loss_rec_all: 0.0558 (0.0563) loss_rec_sfr: 0.0630 (0.0778) loss_cl: -0.3672 (-0.3674) time: 0.8642 data: 0.0003 max mem: 29859 [02:28:57.534326] Epoch: [229] [460/850] eta: 0:05:40 lr: 0.002050 loss: 0.0179 (0.0201) loss_rec_all: 0.0543 (0.0563) loss_rec_sfr: 0.0574 (0.0775) loss_cl: -0.3669 (-0.3674) time: 0.8653 data: 0.0003 max mem: 29859 [02:29:14.852676] Epoch: [229] [480/850] eta: 0:05:23 lr: 0.002050 loss: 0.0191 (0.0200) loss_rec_all: 0.0553 (0.0562) loss_rec_sfr: 0.0641 (0.0773) loss_cl: -0.3665 (-0.3673) time: 0.8658 data: 0.0003 max mem: 29859 [02:29:32.122561] Epoch: [229] [500/850] eta: 0:05:05 lr: 0.002050 loss: 0.0182 (0.0200) loss_rec_all: 0.0544 (0.0562) loss_rec_sfr: 0.0753 (0.0774) loss_cl: -0.3669 (-0.3673) time: 0.8634 data: 0.0003 max mem: 29859 [02:29:49.473263] Epoch: [229] [520/850] eta: 0:04:47 lr: 0.002050 loss: 0.0203 (0.0200) loss_rec_all: 0.0565 (0.0562) loss_rec_sfr: 0.0693 (0.0773) loss_cl: -0.3674 (-0.3673) time: 0.8675 data: 0.0003 max mem: 29859 [02:30:06.794280] Epoch: [229] [540/850] eta: 0:04:30 lr: 0.002050 loss: 0.0189 (0.0200) loss_rec_all: 0.0553 (0.0562) loss_rec_sfr: 0.0590 (0.0770) loss_cl: -0.3679 (-0.3673) time: 0.8660 data: 0.0003 max mem: 29859 [02:30:24.095132] Epoch: [229] [560/850] eta: 0:04:12 lr: 0.002050 loss: 0.0215 (0.0201) loss_rec_all: 0.0578 (0.0563) loss_rec_sfr: 0.0749 (0.0774) loss_cl: -0.3679 (-0.3674) time: 0.8650 data: 0.0002 max mem: 29859 [02:30:41.371957] Epoch: [229] [580/850] eta: 0:03:55 lr: 0.002050 loss: 0.0210 (0.0201) loss_rec_all: 0.0572 (0.0563) loss_rec_sfr: 0.0598 (0.0773) loss_cl: -0.3668 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [02:30:58.770917] Epoch: [229] [600/850] eta: 0:03:37 lr: 0.002050 loss: 0.0223 (0.0202) loss_rec_all: 0.0582 (0.0564) loss_rec_sfr: 0.0847 (0.0776) loss_cl: -0.3663 (-0.3673) time: 0.8699 data: 0.0004 max mem: 29859 [02:31:16.023602] Epoch: [229] [620/850] eta: 0:03:20 lr: 0.002049 loss: 0.0208 (0.0203) loss_rec_all: 0.0568 (0.0564) loss_rec_sfr: 0.0595 (0.0776) loss_cl: -0.3662 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [02:31:33.335262] Epoch: [229] [640/850] eta: 0:03:02 lr: 0.002049 loss: 0.0204 (0.0203) loss_rec_all: 0.0562 (0.0564) loss_rec_sfr: 0.0617 (0.0777) loss_cl: -0.3673 (-0.3672) time: 0.8655 data: 0.0002 max mem: 29859 [02:31:50.698938] Epoch: [229] [660/850] eta: 0:02:45 lr: 0.002049 loss: 0.0199 (0.0203) loss_rec_all: 0.0562 (0.0564) loss_rec_sfr: 0.0605 (0.0775) loss_cl: -0.3679 (-0.3673) time: 0.8681 data: 0.0003 max mem: 29859 [02:32:08.002394] Epoch: [229] [680/850] eta: 0:02:28 lr: 0.002049 loss: 0.0200 (0.0203) loss_rec_all: 0.0560 (0.0565) loss_rec_sfr: 0.0849 (0.0776) loss_cl: -0.3678 (-0.3673) time: 0.8651 data: 0.0003 max mem: 29859 [02:32:25.276182] Epoch: [229] [700/850] eta: 0:02:10 lr: 0.002049 loss: 0.0199 (0.0203) loss_rec_all: 0.0564 (0.0565) loss_rec_sfr: 0.0644 (0.0776) loss_cl: -0.3686 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [02:32:42.680763] Epoch: [229] [720/850] eta: 0:01:53 lr: 0.002049 loss: 0.0206 (0.0204) loss_rec_all: 0.0569 (0.0566) loss_rec_sfr: 0.0895 (0.0778) loss_cl: -0.3680 (-0.3673) time: 0.8702 data: 0.0004 max mem: 29859 [02:32:59.958532] Epoch: [229] [740/850] eta: 0:01:35 lr: 0.002049 loss: 0.0199 (0.0204) loss_rec_all: 0.0561 (0.0566) loss_rec_sfr: 0.0619 (0.0778) loss_cl: -0.3671 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [02:33:17.266046] Epoch: [229] [760/850] eta: 0:01:18 lr: 0.002049 loss: 0.0219 (0.0204) loss_rec_all: 0.0578 (0.0566) loss_rec_sfr: 0.0651 (0.0778) loss_cl: -0.3657 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [02:33:34.586168] Epoch: [229] [780/850] eta: 0:01:00 lr: 0.002049 loss: 0.0200 (0.0204) loss_rec_all: 0.0561 (0.0566) loss_rec_sfr: 0.0615 (0.0777) loss_cl: -0.3664 (-0.3673) time: 0.8659 data: 0.0003 max mem: 29859 [02:33:51.952478] Epoch: [229] [800/850] eta: 0:00:43 lr: 0.002049 loss: 0.0193 (0.0204) loss_rec_all: 0.0558 (0.0566) loss_rec_sfr: 0.0623 (0.0777) loss_cl: -0.3673 (-0.3673) time: 0.8683 data: 0.0003 max mem: 29859 [02:34:09.235473] Epoch: [229] [820/850] eta: 0:00:26 lr: 0.002049 loss: 0.0186 (0.0204) loss_rec_all: 0.0550 (0.0566) loss_rec_sfr: 0.0566 (0.0775) loss_cl: -0.3674 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [02:34:26.550663] Epoch: [229] [840/850] eta: 0:00:08 lr: 0.002049 loss: 0.0188 (0.0204) loss_rec_all: 0.0551 (0.0566) loss_rec_sfr: 0.0640 (0.0775) loss_cl: -0.3681 (-0.3673) time: 0.8657 data: 0.0018 max mem: 29859 [02:34:34.336439] Epoch: [229] [849/850] eta: 0:00:00 lr: 0.002049 loss: 0.0177 (0.0204) loss_rec_all: 0.0539 (0.0566) loss_rec_sfr: 0.0550 (0.0773) loss_cl: -0.3681 (-0.3673) time: 0.8670 data: 0.0018 max mem: 29859 [02:34:34.484286] Epoch: [229] Total time: 0:12:19 (0.8702 s / it) [02:34:34.488546] Averaged stats: lr: 0.002049 loss: 0.0177 (0.0205) loss_rec_all: 0.0539 (0.0567) loss_rec_sfr: 0.0550 (0.0793) loss_cl: -0.3681 (-0.3673) [02:34:34.502026] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [02:34:39.041568] Epoch: [230] [ 0/850] eta: 1:04:17 lr: 0.002049 loss: 0.0179 (0.0179) loss_rec_all: 0.0542 (0.0542) loss_rec_sfr: 0.0612 (0.0612) loss_cl: -0.3676 (-0.3676) time: 4.5387 data: 3.6802 max mem: 29859 [02:34:56.253484] Epoch: [230] [ 20/850] eta: 0:14:19 lr: 0.002048 loss: 0.0181 (0.0185) loss_rec_all: 0.0543 (0.0547) loss_rec_sfr: 0.0655 (0.0741) loss_cl: -0.3669 (-0.3670) time: 0.8605 data: 0.0002 max mem: 29859 [02:35:13.537788] Epoch: [230] [ 40/850] eta: 0:12:51 lr: 0.002048 loss: 0.0193 (0.0192) loss_rec_all: 0.0554 (0.0554) loss_rec_sfr: 0.0668 (0.0772) loss_cl: -0.3673 (-0.3670) time: 0.8641 data: 0.0002 max mem: 29859 [02:35:30.905694] Epoch: [230] [ 60/850] eta: 0:12:10 lr: 0.002048 loss: 0.0205 (0.0198) loss_rec_all: 0.0565 (0.0560) loss_rec_sfr: 0.0992 (0.0821) loss_cl: -0.3673 (-0.3671) time: 0.8683 data: 0.0005 max mem: 29859 [02:35:48.205442] Epoch: [230] [ 80/850] eta: 0:11:40 lr: 0.002048 loss: 0.0211 (0.0200) loss_rec_all: 0.0570 (0.0562) loss_rec_sfr: 0.0795 (0.0832) loss_cl: -0.3677 (-0.3672) time: 0.8649 data: 0.0003 max mem: 29859 [02:36:05.438865] Epoch: [230] [100/850] eta: 0:11:15 lr: 0.002048 loss: 0.0190 (0.0201) loss_rec_all: 0.0553 (0.0563) loss_rec_sfr: 0.0607 (0.0814) loss_cl: -0.3672 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [02:36:22.824460] Epoch: [230] [120/850] eta: 0:10:53 lr: 0.002048 loss: 0.0211 (0.0202) loss_rec_all: 0.0571 (0.0564) loss_rec_sfr: 0.0826 (0.0819) loss_cl: -0.3672 (-0.3672) time: 0.8692 data: 0.0004 max mem: 29859 [02:36:40.072991] Epoch: [230] [140/850] eta: 0:10:32 lr: 0.002048 loss: 0.0187 (0.0201) loss_rec_all: 0.0551 (0.0563) loss_rec_sfr: 0.0582 (0.0810) loss_cl: -0.3677 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [02:36:57.357709] Epoch: [230] [160/850] eta: 0:10:12 lr: 0.002048 loss: 0.0192 (0.0201) loss_rec_all: 0.0552 (0.0562) loss_rec_sfr: 0.0800 (0.0808) loss_cl: -0.3678 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [02:37:14.656120] Epoch: [230] [180/850] eta: 0:09:52 lr: 0.002048 loss: 0.0188 (0.0201) loss_rec_all: 0.0550 (0.0562) loss_rec_sfr: 0.0634 (0.0804) loss_cl: -0.3678 (-0.3674) time: 0.8648 data: 0.0003 max mem: 29859 [02:37:31.975418] Epoch: [230] [200/850] eta: 0:09:33 lr: 0.002048 loss: 0.0208 (0.0201) loss_rec_all: 0.0570 (0.0563) loss_rec_sfr: 0.0841 (0.0811) loss_cl: -0.3676 (-0.3674) time: 0.8659 data: 0.0003 max mem: 29859 [02:37:49.227791] Epoch: [230] [220/850] eta: 0:09:15 lr: 0.002048 loss: 0.0187 (0.0201) loss_rec_all: 0.0549 (0.0563) loss_rec_sfr: 0.0766 (0.0808) loss_cl: -0.3676 (-0.3674) time: 0.8626 data: 0.0002 max mem: 29859 [02:38:06.533152] Epoch: [230] [240/850] eta: 0:08:56 lr: 0.002048 loss: 0.0201 (0.0201) loss_rec_all: 0.0562 (0.0563) loss_rec_sfr: 0.0768 (0.0806) loss_cl: -0.3670 (-0.3674) time: 0.8652 data: 0.0002 max mem: 29859 [02:38:23.846144] Epoch: [230] [260/850] eta: 0:08:38 lr: 0.002047 loss: 0.0198 (0.0201) loss_rec_all: 0.0557 (0.0563) loss_rec_sfr: 0.0913 (0.0818) loss_cl: -0.3668 (-0.3673) time: 0.8656 data: 0.0003 max mem: 29859 [02:38:41.276538] Epoch: [230] [280/850] eta: 0:08:20 lr: 0.002047 loss: 0.0196 (0.0201) loss_rec_all: 0.0556 (0.0563) loss_rec_sfr: 0.0815 (0.0821) loss_cl: -0.3669 (-0.3673) time: 0.8715 data: 0.0004 max mem: 29859 [02:38:58.568182] Epoch: [230] [300/850] eta: 0:08:02 lr: 0.002047 loss: 0.0218 (0.0202) loss_rec_all: 0.0581 (0.0563) loss_rec_sfr: 0.0640 (0.0821) loss_cl: -0.3671 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [02:39:15.870140] Epoch: [230] [320/850] eta: 0:07:44 lr: 0.002047 loss: 0.0203 (0.0203) loss_rec_all: 0.0563 (0.0564) loss_rec_sfr: 0.0869 (0.0821) loss_cl: -0.3674 (-0.3673) time: 0.8650 data: 0.0002 max mem: 29859 [02:39:33.185707] Epoch: [230] [340/850] eta: 0:07:26 lr: 0.002047 loss: 0.0204 (0.0203) loss_rec_all: 0.0565 (0.0565) loss_rec_sfr: 0.0838 (0.0822) loss_cl: -0.3673 (-0.3673) time: 0.8656 data: 0.0004 max mem: 29859 [02:39:50.491770] Epoch: [230] [360/850] eta: 0:07:08 lr: 0.002047 loss: 0.0200 (0.0204) loss_rec_all: 0.0563 (0.0565) loss_rec_sfr: 0.0848 (0.0823) loss_cl: -0.3671 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [02:40:07.742410] Epoch: [230] [380/850] eta: 0:06:51 lr: 0.002047 loss: 0.0188 (0.0203) loss_rec_all: 0.0552 (0.0565) loss_rec_sfr: 0.0572 (0.0817) loss_cl: -0.3673 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [02:40:25.116367] Epoch: [230] [400/850] eta: 0:06:33 lr: 0.002047 loss: 0.0190 (0.0203) loss_rec_all: 0.0553 (0.0565) loss_rec_sfr: 0.0820 (0.0818) loss_cl: -0.3680 (-0.3673) time: 0.8686 data: 0.0003 max mem: 29859 [02:40:42.398379] Epoch: [230] [420/850] eta: 0:06:15 lr: 0.002047 loss: 0.0179 (0.0202) loss_rec_all: 0.0544 (0.0564) loss_rec_sfr: 0.0539 (0.0809) loss_cl: -0.3678 (-0.3673) time: 0.8640 data: 0.0003 max mem: 29859 [02:40:59.685882] Epoch: [230] [440/850] eta: 0:05:58 lr: 0.002047 loss: 0.0208 (0.0202) loss_rec_all: 0.0569 (0.0564) loss_rec_sfr: 0.0830 (0.0810) loss_cl: -0.3676 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [02:41:16.994137] Epoch: [230] [460/850] eta: 0:05:40 lr: 0.002047 loss: 0.0203 (0.0202) loss_rec_all: 0.0564 (0.0564) loss_rec_sfr: 0.0862 (0.0812) loss_cl: -0.3673 (-0.3673) time: 0.8653 data: 0.0003 max mem: 29859 [02:41:34.385456] Epoch: [230] [480/850] eta: 0:05:22 lr: 0.002047 loss: 0.0195 (0.0202) loss_rec_all: 0.0557 (0.0564) loss_rec_sfr: 0.0620 (0.0812) loss_cl: -0.3668 (-0.3673) time: 0.8695 data: 0.0004 max mem: 29859 [02:41:51.668461] Epoch: [230] [500/850] eta: 0:05:05 lr: 0.002046 loss: 0.0198 (0.0202) loss_rec_all: 0.0557 (0.0564) loss_rec_sfr: 0.0821 (0.0812) loss_cl: -0.3666 (-0.3673) time: 0.8640 data: 0.0003 max mem: 29859 [02:42:09.020844] Epoch: [230] [520/850] eta: 0:04:47 lr: 0.002046 loss: 0.0187 (0.0202) loss_rec_all: 0.0549 (0.0563) loss_rec_sfr: 0.0551 (0.0809) loss_cl: -0.3671 (-0.3673) time: 0.8675 data: 0.0003 max mem: 29859 [02:42:26.357823] Epoch: [230] [540/850] eta: 0:04:30 lr: 0.002046 loss: 0.0196 (0.0202) loss_rec_all: 0.0559 (0.0564) loss_rec_sfr: 0.0895 (0.0812) loss_cl: -0.3674 (-0.3673) time: 0.8667 data: 0.0003 max mem: 29859 [02:42:43.668168] Epoch: [230] [560/850] eta: 0:04:12 lr: 0.002046 loss: 0.0201 (0.0202) loss_rec_all: 0.0564 (0.0564) loss_rec_sfr: 0.0620 (0.0809) loss_cl: -0.3675 (-0.3673) time: 0.8654 data: 0.0003 max mem: 29859 [02:43:00.930424] Epoch: [230] [580/850] eta: 0:03:55 lr: 0.002046 loss: 0.0191 (0.0202) loss_rec_all: 0.0555 (0.0564) loss_rec_sfr: 0.0835 (0.0809) loss_cl: -0.3677 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [02:43:18.320339] Epoch: [230] [600/850] eta: 0:03:37 lr: 0.002046 loss: 0.0203 (0.0202) loss_rec_all: 0.0564 (0.0564) loss_rec_sfr: 0.0932 (0.0812) loss_cl: -0.3675 (-0.3673) time: 0.8694 data: 0.0003 max mem: 29859 [02:43:35.610306] Epoch: [230] [620/850] eta: 0:03:20 lr: 0.002046 loss: 0.0190 (0.0202) loss_rec_all: 0.0552 (0.0564) loss_rec_sfr: 0.0606 (0.0811) loss_cl: -0.3674 (-0.3673) time: 0.8644 data: 0.0003 max mem: 29859 [02:43:52.903504] Epoch: [230] [640/850] eta: 0:03:02 lr: 0.002046 loss: 0.0194 (0.0202) loss_rec_all: 0.0555 (0.0564) loss_rec_sfr: 0.0798 (0.0811) loss_cl: -0.3673 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [02:44:10.259810] Epoch: [230] [660/850] eta: 0:02:45 lr: 0.002046 loss: 0.0191 (0.0202) loss_rec_all: 0.0552 (0.0564) loss_rec_sfr: 0.0659 (0.0810) loss_cl: -0.3673 (-0.3673) time: 0.8676 data: 0.0004 max mem: 29859 [02:44:27.585753] Epoch: [230] [680/850] eta: 0:02:28 lr: 0.002046 loss: 0.0199 (0.0202) loss_rec_all: 0.0562 (0.0564) loss_rec_sfr: 0.0667 (0.0810) loss_cl: -0.3672 (-0.3673) time: 0.8662 data: 0.0003 max mem: 29859 [02:44:44.839907] Epoch: [230] [700/850] eta: 0:02:10 lr: 0.002046 loss: 0.0204 (0.0202) loss_rec_all: 0.0563 (0.0564) loss_rec_sfr: 0.0815 (0.0810) loss_cl: -0.3669 (-0.3673) time: 0.8627 data: 0.0003 max mem: 29859 [02:45:02.174170] Epoch: [230] [720/850] eta: 0:01:53 lr: 0.002046 loss: 0.0207 (0.0202) loss_rec_all: 0.0570 (0.0564) loss_rec_sfr: 0.0632 (0.0810) loss_cl: -0.3672 (-0.3673) time: 0.8666 data: 0.0003 max mem: 29859 [02:45:19.514845] Epoch: [230] [740/850] eta: 0:01:35 lr: 0.002045 loss: 0.0197 (0.0202) loss_rec_all: 0.0560 (0.0564) loss_rec_sfr: 0.0651 (0.0808) loss_cl: -0.3672 (-0.3673) time: 0.8670 data: 0.0003 max mem: 29859 [02:45:36.823133] Epoch: [230] [760/850] eta: 0:01:18 lr: 0.002045 loss: 0.0208 (0.0203) loss_rec_all: 0.0570 (0.0564) loss_rec_sfr: 0.0654 (0.0809) loss_cl: -0.3672 (-0.3673) time: 0.8654 data: 0.0002 max mem: 29859 [02:45:54.113606] Epoch: [230] [780/850] eta: 0:01:00 lr: 0.002045 loss: 0.0229 (0.0204) loss_rec_all: 0.0589 (0.0565) loss_rec_sfr: 0.0931 (0.0812) loss_cl: -0.3671 (-0.3673) time: 0.8644 data: 0.0003 max mem: 29859 [02:46:11.485030] Epoch: [230] [800/850] eta: 0:00:43 lr: 0.002045 loss: 0.0210 (0.0204) loss_rec_all: 0.0570 (0.0566) loss_rec_sfr: 0.0885 (0.0813) loss_cl: -0.3676 (-0.3673) time: 0.8685 data: 0.0003 max mem: 29859 [02:46:28.748650] Epoch: [230] [820/850] eta: 0:00:26 lr: 0.002045 loss: 0.0205 (0.0204) loss_rec_all: 0.0564 (0.0566) loss_rec_sfr: 0.0629 (0.0813) loss_cl: -0.3676 (-0.3673) time: 0.8631 data: 0.0003 max mem: 29859 [02:46:46.051406] Epoch: [230] [840/850] eta: 0:00:08 lr: 0.002045 loss: 0.0197 (0.0204) loss_rec_all: 0.0560 (0.0566) loss_rec_sfr: 0.0614 (0.0812) loss_cl: -0.3675 (-0.3673) time: 0.8651 data: 0.0005 max mem: 29859 [02:46:53.858468] Epoch: [230] [849/850] eta: 0:00:00 lr: 0.002045 loss: 0.0195 (0.0204) loss_rec_all: 0.0557 (0.0566) loss_rec_sfr: 0.0614 (0.0811) loss_cl: -0.3674 (-0.3673) time: 0.8671 data: 0.0006 max mem: 29859 [02:46:53.995009] Epoch: [230] Total time: 0:12:19 (0.8700 s / it) [02:46:54.008968] Averaged stats: lr: 0.002045 loss: 0.0195 (0.0205) loss_rec_all: 0.0557 (0.0566) loss_rec_sfr: 0.0614 (0.0810) loss_cl: -0.3674 (-0.3673) [02:46:54.020348] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [02:46:58.300972] Epoch: [231] [ 0/850] eta: 1:00:37 lr: 0.002045 loss: 0.0184 (0.0184) loss_rec_all: 0.0548 (0.0548) loss_rec_sfr: 0.0560 (0.0560) loss_cl: -0.3679 (-0.3679) time: 4.2796 data: 3.2747 max mem: 29859 [02:47:15.513049] Epoch: [231] [ 20/850] eta: 0:14:09 lr: 0.002045 loss: 0.0181 (0.0186) loss_rec_all: 0.0545 (0.0550) loss_rec_sfr: 0.0568 (0.0673) loss_cl: -0.3680 (-0.3679) time: 0.8606 data: 0.0002 max mem: 29859 [02:47:32.756877] Epoch: [231] [ 40/850] eta: 0:12:45 lr: 0.002045 loss: 0.0190 (0.0190) loss_rec_all: 0.0552 (0.0553) loss_rec_sfr: 0.0660 (0.0730) loss_cl: -0.3683 (-0.3681) time: 0.8621 data: 0.0002 max mem: 29859 [02:47:50.086582] Epoch: [231] [ 60/850] eta: 0:12:06 lr: 0.002045 loss: 0.0193 (0.0194) loss_rec_all: 0.0557 (0.0556) loss_rec_sfr: 0.0827 (0.0759) loss_cl: -0.3680 (-0.3681) time: 0.8664 data: 0.0005 max mem: 29859 [02:48:07.394707] Epoch: [231] [ 80/850] eta: 0:11:37 lr: 0.002045 loss: 0.0196 (0.0197) loss_rec_all: 0.0560 (0.0559) loss_rec_sfr: 0.0634 (0.0762) loss_cl: -0.3674 (-0.3679) time: 0.8653 data: 0.0002 max mem: 29859 [02:48:24.635894] Epoch: [231] [100/850] eta: 0:11:12 lr: 0.002045 loss: 0.0186 (0.0197) loss_rec_all: 0.0549 (0.0559) loss_rec_sfr: 0.0824 (0.0773) loss_cl: -0.3667 (-0.3677) time: 0.8620 data: 0.0002 max mem: 29859 [02:48:41.979200] Epoch: [231] [120/850] eta: 0:10:51 lr: 0.002045 loss: 0.0195 (0.0197) loss_rec_all: 0.0555 (0.0559) loss_rec_sfr: 0.0769 (0.0779) loss_cl: -0.3661 (-0.3674) time: 0.8671 data: 0.0003 max mem: 29859 [02:48:59.291954] Epoch: [231] [140/850] eta: 0:10:30 lr: 0.002044 loss: 0.0185 (0.0196) loss_rec_all: 0.0547 (0.0558) loss_rec_sfr: 0.0610 (0.0771) loss_cl: -0.3668 (-0.3673) time: 0.8656 data: 0.0003 max mem: 29859 [02:49:16.589379] Epoch: [231] [160/850] eta: 0:10:10 lr: 0.002044 loss: 0.0178 (0.0195) loss_rec_all: 0.0542 (0.0557) loss_rec_sfr: 0.0576 (0.0764) loss_cl: -0.3673 (-0.3673) time: 0.8648 data: 0.0003 max mem: 29859 [02:49:33.865448] Epoch: [231] [180/850] eta: 0:09:51 lr: 0.002044 loss: 0.0190 (0.0195) loss_rec_all: 0.0554 (0.0557) loss_rec_sfr: 0.0768 (0.0766) loss_cl: -0.3679 (-0.3674) time: 0.8637 data: 0.0003 max mem: 29859 [02:49:51.274938] Epoch: [231] [200/850] eta: 0:09:33 lr: 0.002044 loss: 0.0192 (0.0195) loss_rec_all: 0.0557 (0.0557) loss_rec_sfr: 0.0813 (0.0769) loss_cl: -0.3683 (-0.3675) time: 0.8704 data: 0.0004 max mem: 29859 [02:50:08.527557] Epoch: [231] [220/850] eta: 0:09:14 lr: 0.002044 loss: 0.0191 (0.0196) loss_rec_all: 0.0554 (0.0558) loss_rec_sfr: 0.0583 (0.0764) loss_cl: -0.3678 (-0.3675) time: 0.8626 data: 0.0003 max mem: 29859 [02:50:25.825932] Epoch: [231] [240/850] eta: 0:08:56 lr: 0.002044 loss: 0.0210 (0.0197) loss_rec_all: 0.0568 (0.0559) loss_rec_sfr: 0.0687 (0.0774) loss_cl: -0.3668 (-0.3675) time: 0.8648 data: 0.0002 max mem: 29859 [02:50:43.165501] Epoch: [231] [260/850] eta: 0:08:37 lr: 0.002044 loss: 0.0203 (0.0198) loss_rec_all: 0.0562 (0.0560) loss_rec_sfr: 0.0810 (0.0780) loss_cl: -0.3660 (-0.3673) time: 0.8669 data: 0.0004 max mem: 29859 [02:51:00.476254] Epoch: [231] [280/850] eta: 0:08:19 lr: 0.002044 loss: 0.0204 (0.0199) loss_rec_all: 0.0563 (0.0561) loss_rec_sfr: 0.0847 (0.0784) loss_cl: -0.3661 (-0.3673) time: 0.8655 data: 0.0003 max mem: 29859 [02:51:17.731376] Epoch: [231] [300/850] eta: 0:08:01 lr: 0.002044 loss: 0.0214 (0.0200) loss_rec_all: 0.0577 (0.0562) loss_rec_sfr: 0.0692 (0.0786) loss_cl: -0.3664 (-0.3672) time: 0.8627 data: 0.0003 max mem: 29859 [02:51:35.184476] Epoch: [231] [320/850] eta: 0:07:44 lr: 0.002044 loss: 0.0210 (0.0201) loss_rec_all: 0.0572 (0.0563) loss_rec_sfr: 0.0646 (0.0786) loss_cl: -0.3671 (-0.3672) time: 0.8726 data: 0.0003 max mem: 29859 [02:51:52.490048] Epoch: [231] [340/850] eta: 0:07:26 lr: 0.002044 loss: 0.0222 (0.0203) loss_rec_all: 0.0581 (0.0564) loss_rec_sfr: 0.0886 (0.0793) loss_cl: -0.3679 (-0.3672) time: 0.8652 data: 0.0004 max mem: 29859 [02:52:09.787227] Epoch: [231] [360/850] eta: 0:07:08 lr: 0.002044 loss: 0.0201 (0.0203) loss_rec_all: 0.0560 (0.0565) loss_rec_sfr: 0.0826 (0.0794) loss_cl: -0.3681 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [02:52:27.070224] Epoch: [231] [380/850] eta: 0:06:50 lr: 0.002043 loss: 0.0197 (0.0203) loss_rec_all: 0.0560 (0.0565) loss_rec_sfr: 0.0658 (0.0796) loss_cl: -0.3674 (-0.3673) time: 0.8641 data: 0.0003 max mem: 29859 [02:52:44.456651] Epoch: [231] [400/850] eta: 0:06:33 lr: 0.002043 loss: 0.0191 (0.0203) loss_rec_all: 0.0554 (0.0565) loss_rec_sfr: 0.0600 (0.0791) loss_cl: -0.3672 (-0.3673) time: 0.8693 data: 0.0003 max mem: 29859 [02:53:01.723662] Epoch: [231] [420/850] eta: 0:06:15 lr: 0.002043 loss: 0.0208 (0.0203) loss_rec_all: 0.0571 (0.0565) loss_rec_sfr: 0.0820 (0.0792) loss_cl: -0.3673 (-0.3673) time: 0.8633 data: 0.0003 max mem: 29859 [02:53:19.052951] Epoch: [231] [440/850] eta: 0:05:57 lr: 0.002043 loss: 0.0198 (0.0203) loss_rec_all: 0.0559 (0.0565) loss_rec_sfr: 0.0635 (0.0791) loss_cl: -0.3678 (-0.3673) time: 0.8663 data: 0.0002 max mem: 29859 [02:53:36.384109] Epoch: [231] [460/850] eta: 0:05:40 lr: 0.002043 loss: 0.0182 (0.0203) loss_rec_all: 0.0547 (0.0565) loss_rec_sfr: 0.0605 (0.0789) loss_cl: -0.3679 (-0.3673) time: 0.8665 data: 0.0003 max mem: 29859 [02:53:53.646145] Epoch: [231] [480/850] eta: 0:05:22 lr: 0.002043 loss: 0.0191 (0.0203) loss_rec_all: 0.0555 (0.0565) loss_rec_sfr: 0.0696 (0.0788) loss_cl: -0.3679 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [02:54:10.898023] Epoch: [231] [500/850] eta: 0:05:05 lr: 0.002043 loss: 0.0204 (0.0203) loss_rec_all: 0.0566 (0.0565) loss_rec_sfr: 0.0740 (0.0789) loss_cl: -0.3673 (-0.3673) time: 0.8625 data: 0.0003 max mem: 29859 [02:54:28.263201] Epoch: [231] [520/850] eta: 0:04:47 lr: 0.002043 loss: 0.0199 (0.0204) loss_rec_all: 0.0560 (0.0565) loss_rec_sfr: 0.0837 (0.0790) loss_cl: -0.3672 (-0.3673) time: 0.8682 data: 0.0007 max mem: 29859 [02:54:45.572497] Epoch: [231] [540/850] eta: 0:04:30 lr: 0.002043 loss: 0.0205 (0.0204) loss_rec_all: 0.0568 (0.0566) loss_rec_sfr: 0.0644 (0.0791) loss_cl: -0.3674 (-0.3673) time: 0.8654 data: 0.0003 max mem: 29859 [02:55:02.918530] Epoch: [231] [560/850] eta: 0:04:12 lr: 0.002043 loss: 0.0199 (0.0204) loss_rec_all: 0.0562 (0.0566) loss_rec_sfr: 0.0854 (0.0793) loss_cl: -0.3674 (-0.3673) time: 0.8672 data: 0.0003 max mem: 29859 [02:55:20.171209] Epoch: [231] [580/850] eta: 0:03:55 lr: 0.002043 loss: 0.0193 (0.0204) loss_rec_all: 0.0555 (0.0566) loss_rec_sfr: 0.0829 (0.0794) loss_cl: -0.3674 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [02:55:37.506330] Epoch: [231] [600/850] eta: 0:03:37 lr: 0.002043 loss: 0.0190 (0.0204) loss_rec_all: 0.0554 (0.0566) loss_rec_sfr: 0.0679 (0.0793) loss_cl: -0.3673 (-0.3673) time: 0.8667 data: 0.0002 max mem: 29859 [02:55:54.850101] Epoch: [231] [620/850] eta: 0:03:20 lr: 0.002042 loss: 0.0195 (0.0204) loss_rec_all: 0.0555 (0.0565) loss_rec_sfr: 0.0846 (0.0796) loss_cl: -0.3669 (-0.3673) time: 0.8671 data: 0.0004 max mem: 29859 [02:56:12.143867] Epoch: [231] [640/850] eta: 0:03:02 lr: 0.002042 loss: 0.0198 (0.0204) loss_rec_all: 0.0560 (0.0565) loss_rec_sfr: 0.0612 (0.0794) loss_cl: -0.3669 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [02:56:29.433390] Epoch: [231] [660/850] eta: 0:02:45 lr: 0.002042 loss: 0.0188 (0.0203) loss_rec_all: 0.0552 (0.0565) loss_rec_sfr: 0.0560 (0.0790) loss_cl: -0.3672 (-0.3673) time: 0.8644 data: 0.0003 max mem: 29859 [02:56:46.803196] Epoch: [231] [680/850] eta: 0:02:27 lr: 0.002042 loss: 0.0213 (0.0204) loss_rec_all: 0.0576 (0.0566) loss_rec_sfr: 0.0874 (0.0793) loss_cl: -0.3676 (-0.3673) time: 0.8684 data: 0.0003 max mem: 29859 [02:57:04.063111] Epoch: [231] [700/850] eta: 0:02:10 lr: 0.002042 loss: 0.0200 (0.0204) loss_rec_all: 0.0563 (0.0566) loss_rec_sfr: 0.0811 (0.0794) loss_cl: -0.3679 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [02:57:21.368061] Epoch: [231] [720/850] eta: 0:01:53 lr: 0.002042 loss: 0.0206 (0.0204) loss_rec_all: 0.0565 (0.0566) loss_rec_sfr: 0.0824 (0.0796) loss_cl: -0.3677 (-0.3673) time: 0.8651 data: 0.0003 max mem: 29859 [02:57:38.707574] Epoch: [231] [740/850] eta: 0:01:35 lr: 0.002042 loss: 0.0206 (0.0204) loss_rec_all: 0.0567 (0.0566) loss_rec_sfr: 0.0633 (0.0794) loss_cl: -0.3679 (-0.3673) time: 0.8669 data: 0.0003 max mem: 29859 [02:57:56.023551] Epoch: [231] [760/850] eta: 0:01:18 lr: 0.002042 loss: 0.0209 (0.0205) loss_rec_all: 0.0568 (0.0566) loss_rec_sfr: 0.0814 (0.0795) loss_cl: -0.3672 (-0.3673) time: 0.8658 data: 0.0002 max mem: 29859 [02:58:13.270694] Epoch: [231] [780/850] eta: 0:01:00 lr: 0.002042 loss: 0.0195 (0.0205) loss_rec_all: 0.0558 (0.0567) loss_rec_sfr: 0.0597 (0.0794) loss_cl: -0.3671 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [02:58:30.671209] Epoch: [231] [800/850] eta: 0:00:43 lr: 0.002042 loss: 0.0199 (0.0205) loss_rec_all: 0.0559 (0.0567) loss_rec_sfr: 0.0872 (0.0796) loss_cl: -0.3673 (-0.3673) time: 0.8700 data: 0.0003 max mem: 29859 [02:58:47.954611] Epoch: [231] [820/850] eta: 0:00:26 lr: 0.002042 loss: 0.0195 (0.0205) loss_rec_all: 0.0558 (0.0566) loss_rec_sfr: 0.0644 (0.0797) loss_cl: -0.3672 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [02:59:05.237327] Epoch: [231] [840/850] eta: 0:00:08 lr: 0.002042 loss: 0.0195 (0.0205) loss_rec_all: 0.0556 (0.0566) loss_rec_sfr: 0.0813 (0.0798) loss_cl: -0.3671 (-0.3673) time: 0.8641 data: 0.0005 max mem: 29859 [02:59:13.010824] Epoch: [231] [849/850] eta: 0:00:00 lr: 0.002041 loss: 0.0199 (0.0205) loss_rec_all: 0.0558 (0.0566) loss_rec_sfr: 0.0841 (0.0799) loss_cl: -0.3671 (-0.3673) time: 0.8646 data: 0.0005 max mem: 29859 [02:59:13.125658] Epoch: [231] Total time: 0:12:19 (0.8695 s / it) [02:59:13.151698] Averaged stats: lr: 0.002041 loss: 0.0199 (0.0205) loss_rec_all: 0.0558 (0.0566) loss_rec_sfr: 0.0841 (0.0803) loss_cl: -0.3671 (-0.3673) [02:59:13.160730] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [02:59:17.624245] Epoch: [232] [ 0/850] eta: 1:03:12 lr: 0.002041 loss: 0.0177 (0.0177) loss_rec_all: 0.0539 (0.0539) loss_rec_sfr: 0.0904 (0.0904) loss_cl: -0.3690 (-0.3690) time: 4.4623 data: 3.6012 max mem: 29859 [02:59:34.881686] Epoch: [232] [ 20/850] eta: 0:14:18 lr: 0.002041 loss: 0.0200 (0.0207) loss_rec_all: 0.0558 (0.0569) loss_rec_sfr: 0.0808 (0.0852) loss_cl: -0.3676 (-0.3677) time: 0.8628 data: 0.0004 max mem: 29859 [02:59:52.120008] Epoch: [232] [ 40/850] eta: 0:12:49 lr: 0.002041 loss: 0.0201 (0.0207) loss_rec_all: 0.0563 (0.0569) loss_rec_sfr: 0.0920 (0.0865) loss_cl: -0.3678 (-0.3677) time: 0.8619 data: 0.0002 max mem: 29859 [03:00:09.378560] Epoch: [232] [ 60/850] eta: 0:12:07 lr: 0.002041 loss: 0.0193 (0.0206) loss_rec_all: 0.0557 (0.0567) loss_rec_sfr: 0.0827 (0.0846) loss_cl: -0.3675 (-0.3676) time: 0.8628 data: 0.0003 max mem: 29859 [03:00:26.726790] Epoch: [232] [ 80/850] eta: 0:11:39 lr: 0.002041 loss: 0.0199 (0.0205) loss_rec_all: 0.0562 (0.0567) loss_rec_sfr: 0.0829 (0.0846) loss_cl: -0.3670 (-0.3674) time: 0.8674 data: 0.0003 max mem: 29859 [03:00:43.970999] Epoch: [232] [100/850] eta: 0:11:14 lr: 0.002041 loss: 0.0193 (0.0204) loss_rec_all: 0.0553 (0.0566) loss_rec_sfr: 0.0665 (0.0832) loss_cl: -0.3667 (-0.3673) time: 0.8621 data: 0.0003 max mem: 29859 [03:01:01.261627] Epoch: [232] [120/850] eta: 0:10:52 lr: 0.002041 loss: 0.0225 (0.0209) loss_rec_all: 0.0586 (0.0571) loss_rec_sfr: 0.0868 (0.0839) loss_cl: -0.3670 (-0.3672) time: 0.8645 data: 0.0002 max mem: 29859 [03:01:18.584356] Epoch: [232] [140/850] eta: 0:10:31 lr: 0.002041 loss: 0.0203 (0.0209) loss_rec_all: 0.0565 (0.0571) loss_rec_sfr: 0.0646 (0.0831) loss_cl: -0.3668 (-0.3671) time: 0.8661 data: 0.0003 max mem: 29859 [03:01:35.898656] Epoch: [232] [160/850] eta: 0:10:11 lr: 0.002041 loss: 0.0199 (0.0209) loss_rec_all: 0.0562 (0.0570) loss_rec_sfr: 0.0649 (0.0827) loss_cl: -0.3675 (-0.3672) time: 0.8657 data: 0.0002 max mem: 29859 [03:01:53.151417] Epoch: [232] [180/850] eta: 0:09:52 lr: 0.002041 loss: 0.0195 (0.0208) loss_rec_all: 0.0555 (0.0569) loss_rec_sfr: 0.0654 (0.0825) loss_cl: -0.3670 (-0.3671) time: 0.8626 data: 0.0002 max mem: 29859 [03:02:10.507304] Epoch: [232] [200/850] eta: 0:09:33 lr: 0.002041 loss: 0.0220 (0.0209) loss_rec_all: 0.0578 (0.0570) loss_rec_sfr: 0.1042 (0.0845) loss_cl: -0.3673 (-0.3671) time: 0.8677 data: 0.0003 max mem: 29859 [03:02:27.825231] Epoch: [232] [220/850] eta: 0:09:14 lr: 0.002041 loss: 0.0190 (0.0208) loss_rec_all: 0.0553 (0.0569) loss_rec_sfr: 0.0608 (0.0839) loss_cl: -0.3673 (-0.3672) time: 0.8658 data: 0.0002 max mem: 29859 [03:02:45.132410] Epoch: [232] [240/850] eta: 0:08:56 lr: 0.002040 loss: 0.0187 (0.0207) loss_rec_all: 0.0551 (0.0568) loss_rec_sfr: 0.0626 (0.0830) loss_cl: -0.3679 (-0.3672) time: 0.8653 data: 0.0002 max mem: 29859 [03:03:02.438676] Epoch: [232] [260/850] eta: 0:08:38 lr: 0.002040 loss: 0.0204 (0.0207) loss_rec_all: 0.0563 (0.0569) loss_rec_sfr: 0.0834 (0.0829) loss_cl: -0.3680 (-0.3673) time: 0.8652 data: 0.0003 max mem: 29859 [03:03:19.795656] Epoch: [232] [280/850] eta: 0:08:20 lr: 0.002040 loss: 0.0185 (0.0206) loss_rec_all: 0.0549 (0.0568) loss_rec_sfr: 0.0581 (0.0821) loss_cl: -0.3678 (-0.3673) time: 0.8678 data: 0.0003 max mem: 29859 [03:03:37.053451] Epoch: [232] [300/850] eta: 0:08:02 lr: 0.002040 loss: 0.0188 (0.0205) loss_rec_all: 0.0550 (0.0567) loss_rec_sfr: 0.0594 (0.0817) loss_cl: -0.3677 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [03:03:54.342627] Epoch: [232] [320/850] eta: 0:07:44 lr: 0.002040 loss: 0.0212 (0.0206) loss_rec_all: 0.0573 (0.0567) loss_rec_sfr: 0.0853 (0.0822) loss_cl: -0.3675 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [03:04:11.685470] Epoch: [232] [340/850] eta: 0:07:26 lr: 0.002040 loss: 0.0193 (0.0206) loss_rec_all: 0.0555 (0.0567) loss_rec_sfr: 0.0779 (0.0820) loss_cl: -0.3673 (-0.3673) time: 0.8671 data: 0.0003 max mem: 29859 [03:04:28.988447] Epoch: [232] [360/850] eta: 0:07:08 lr: 0.002040 loss: 0.0185 (0.0205) loss_rec_all: 0.0546 (0.0567) loss_rec_sfr: 0.0654 (0.0821) loss_cl: -0.3672 (-0.3673) time: 0.8651 data: 0.0002 max mem: 29859 [03:04:46.240770] Epoch: [232] [380/850] eta: 0:06:50 lr: 0.002040 loss: 0.0191 (0.0205) loss_rec_all: 0.0553 (0.0566) loss_rec_sfr: 0.0627 (0.0820) loss_cl: -0.3676 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [03:05:03.649070] Epoch: [232] [400/850] eta: 0:06:33 lr: 0.002040 loss: 0.0187 (0.0204) loss_rec_all: 0.0550 (0.0566) loss_rec_sfr: 0.0826 (0.0821) loss_cl: -0.3676 (-0.3674) time: 0.8704 data: 0.0003 max mem: 29859 [03:05:20.912114] Epoch: [232] [420/850] eta: 0:06:15 lr: 0.002040 loss: 0.0199 (0.0204) loss_rec_all: 0.0561 (0.0566) loss_rec_sfr: 0.0767 (0.0823) loss_cl: -0.3673 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [03:05:38.196052] Epoch: [232] [440/850] eta: 0:05:57 lr: 0.002040 loss: 0.0201 (0.0204) loss_rec_all: 0.0563 (0.0565) loss_rec_sfr: 0.0591 (0.0817) loss_cl: -0.3673 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [03:05:55.537348] Epoch: [232] [460/850] eta: 0:05:40 lr: 0.002040 loss: 0.0193 (0.0204) loss_rec_all: 0.0557 (0.0565) loss_rec_sfr: 0.0702 (0.0816) loss_cl: -0.3668 (-0.3673) time: 0.8670 data: 0.0004 max mem: 29859 [03:06:12.852234] Epoch: [232] [480/850] eta: 0:05:22 lr: 0.002039 loss: 0.0202 (0.0204) loss_rec_all: 0.0562 (0.0566) loss_rec_sfr: 0.0794 (0.0818) loss_cl: -0.3672 (-0.3673) time: 0.8657 data: 0.0003 max mem: 29859 [03:06:30.097732] Epoch: [232] [500/850] eta: 0:05:05 lr: 0.002039 loss: 0.0198 (0.0204) loss_rec_all: 0.0560 (0.0565) loss_rec_sfr: 0.0702 (0.0818) loss_cl: -0.3673 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [03:06:47.471415] Epoch: [232] [520/850] eta: 0:04:47 lr: 0.002039 loss: 0.0210 (0.0204) loss_rec_all: 0.0570 (0.0566) loss_rec_sfr: 0.0630 (0.0819) loss_cl: -0.3669 (-0.3673) time: 0.8686 data: 0.0010 max mem: 29859 [03:07:04.796698] Epoch: [232] [540/850] eta: 0:04:30 lr: 0.002039 loss: 0.0203 (0.0205) loss_rec_all: 0.0562 (0.0566) loss_rec_sfr: 0.0835 (0.0819) loss_cl: -0.3674 (-0.3673) time: 0.8662 data: 0.0003 max mem: 29859 [03:07:22.099815] Epoch: [232] [560/850] eta: 0:04:12 lr: 0.002039 loss: 0.0201 (0.0205) loss_rec_all: 0.0561 (0.0566) loss_rec_sfr: 0.0923 (0.0822) loss_cl: -0.3675 (-0.3673) time: 0.8651 data: 0.0002 max mem: 29859 [03:07:39.373633] Epoch: [232] [580/850] eta: 0:03:55 lr: 0.002039 loss: 0.0198 (0.0205) loss_rec_all: 0.0558 (0.0566) loss_rec_sfr: 0.0813 (0.0823) loss_cl: -0.3674 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [03:07:56.749938] Epoch: [232] [600/850] eta: 0:03:37 lr: 0.002039 loss: 0.0186 (0.0204) loss_rec_all: 0.0550 (0.0566) loss_rec_sfr: 0.0593 (0.0822) loss_cl: -0.3672 (-0.3673) time: 0.8688 data: 0.0004 max mem: 29859 [03:08:14.001582] Epoch: [232] [620/850] eta: 0:03:20 lr: 0.002039 loss: 0.0222 (0.0205) loss_rec_all: 0.0582 (0.0567) loss_rec_sfr: 0.0872 (0.0824) loss_cl: -0.3672 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [03:08:31.291905] Epoch: [232] [640/850] eta: 0:03:02 lr: 0.002039 loss: 0.0199 (0.0205) loss_rec_all: 0.0560 (0.0567) loss_rec_sfr: 0.0574 (0.0820) loss_cl: -0.3667 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [03:08:48.690585] Epoch: [232] [660/850] eta: 0:02:45 lr: 0.002039 loss: 0.0196 (0.0205) loss_rec_all: 0.0558 (0.0567) loss_rec_sfr: 0.0573 (0.0818) loss_cl: -0.3669 (-0.3673) time: 0.8697 data: 0.0004 max mem: 29859 [03:09:05.989635] Epoch: [232] [680/850] eta: 0:02:27 lr: 0.002039 loss: 0.0191 (0.0205) loss_rec_all: 0.0555 (0.0567) loss_rec_sfr: 0.0571 (0.0815) loss_cl: -0.3673 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [03:09:23.237753] Epoch: [232] [700/850] eta: 0:02:10 lr: 0.002039 loss: 0.0203 (0.0205) loss_rec_all: 0.0563 (0.0567) loss_rec_sfr: 0.0812 (0.0816) loss_cl: -0.3674 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [03:09:40.595070] Epoch: [232] [720/850] eta: 0:01:53 lr: 0.002038 loss: 0.0192 (0.0205) loss_rec_all: 0.0555 (0.0567) loss_rec_sfr: 0.0616 (0.0816) loss_cl: -0.3677 (-0.3673) time: 0.8678 data: 0.0004 max mem: 29859 [03:09:57.891866] Epoch: [232] [740/850] eta: 0:01:35 lr: 0.002038 loss: 0.0187 (0.0205) loss_rec_all: 0.0552 (0.0566) loss_rec_sfr: 0.0832 (0.0817) loss_cl: -0.3684 (-0.3673) time: 0.8648 data: 0.0003 max mem: 29859 [03:10:15.165695] Epoch: [232] [760/850] eta: 0:01:18 lr: 0.002038 loss: 0.0192 (0.0205) loss_rec_all: 0.0555 (0.0566) loss_rec_sfr: 0.0843 (0.0818) loss_cl: -0.3684 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [03:10:32.433450] Epoch: [232] [780/850] eta: 0:01:00 lr: 0.002038 loss: 0.0192 (0.0205) loss_rec_all: 0.0551 (0.0566) loss_rec_sfr: 0.0803 (0.0819) loss_cl: -0.3678 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [03:10:49.821769] Epoch: [232] [800/850] eta: 0:00:43 lr: 0.002038 loss: 0.0190 (0.0204) loss_rec_all: 0.0550 (0.0566) loss_rec_sfr: 0.0790 (0.0818) loss_cl: -0.3676 (-0.3673) time: 0.8694 data: 0.0003 max mem: 29859 [03:11:07.069324] Epoch: [232] [820/850] eta: 0:00:26 lr: 0.002038 loss: 0.0193 (0.0204) loss_rec_all: 0.0555 (0.0566) loss_rec_sfr: 0.0620 (0.0818) loss_cl: -0.3671 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [03:11:24.378022] Epoch: [232] [840/850] eta: 0:00:08 lr: 0.002038 loss: 0.0203 (0.0204) loss_rec_all: 0.0564 (0.0566) loss_rec_sfr: 0.0846 (0.0819) loss_cl: -0.3666 (-0.3673) time: 0.8654 data: 0.0012 max mem: 29859 [03:11:32.182628] Epoch: [232] [849/850] eta: 0:00:00 lr: 0.002038 loss: 0.0211 (0.0205) loss_rec_all: 0.0569 (0.0566) loss_rec_sfr: 0.0888 (0.0821) loss_cl: -0.3663 (-0.3673) time: 0.8675 data: 0.0012 max mem: 29859 [03:11:32.316660] Epoch: [232] Total time: 0:12:19 (0.8696 s / it) [03:11:32.321247] Averaged stats: lr: 0.002038 loss: 0.0211 (0.0204) loss_rec_all: 0.0569 (0.0566) loss_rec_sfr: 0.0888 (0.0809) loss_cl: -0.3663 (-0.3673) [03:11:32.331932] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [03:11:37.032955] Epoch: [233] [ 0/850] eta: 1:06:34 lr: 0.002038 loss: 0.0196 (0.0196) loss_rec_all: 0.0558 (0.0558) loss_rec_sfr: 0.0558 (0.0558) loss_cl: -0.3661 (-0.3661) time: 4.6999 data: 3.8459 max mem: 29859 [03:11:54.222251] Epoch: [233] [ 20/850] eta: 0:14:25 lr: 0.002038 loss: 0.0195 (0.0200) loss_rec_all: 0.0554 (0.0560) loss_rec_sfr: 0.0864 (0.0861) loss_cl: -0.3663 (-0.3663) time: 0.8594 data: 0.0002 max mem: 29859 [03:12:11.463518] Epoch: [233] [ 40/850] eta: 0:12:53 lr: 0.002038 loss: 0.0183 (0.0198) loss_rec_all: 0.0546 (0.0559) loss_rec_sfr: 0.0659 (0.0824) loss_cl: -0.3664 (-0.3664) time: 0.8620 data: 0.0002 max mem: 29859 [03:12:28.757025] Epoch: [233] [ 60/850] eta: 0:12:10 lr: 0.002038 loss: 0.0201 (0.0204) loss_rec_all: 0.0565 (0.0565) loss_rec_sfr: 0.0654 (0.0803) loss_cl: -0.3676 (-0.3668) time: 0.8646 data: 0.0003 max mem: 29859 [03:12:46.061444] Epoch: [233] [ 80/850] eta: 0:11:40 lr: 0.002038 loss: 0.0206 (0.0205) loss_rec_all: 0.0566 (0.0567) loss_rec_sfr: 0.0640 (0.0814) loss_cl: -0.3676 (-0.3670) time: 0.8652 data: 0.0003 max mem: 29859 [03:13:03.302899] Epoch: [233] [100/850] eta: 0:11:15 lr: 0.002038 loss: 0.0194 (0.0206) loss_rec_all: 0.0556 (0.0567) loss_rec_sfr: 0.0824 (0.0819) loss_cl: -0.3677 (-0.3671) time: 0.8620 data: 0.0003 max mem: 29859 [03:13:20.646049] Epoch: [233] [120/850] eta: 0:10:53 lr: 0.002037 loss: 0.0199 (0.0206) loss_rec_all: 0.0562 (0.0568) loss_rec_sfr: 0.0889 (0.0836) loss_cl: -0.3678 (-0.3672) time: 0.8671 data: 0.0003 max mem: 29859 [03:13:37.926666] Epoch: [233] [140/850] eta: 0:10:32 lr: 0.002037 loss: 0.0189 (0.0206) loss_rec_all: 0.0551 (0.0567) loss_rec_sfr: 0.0619 (0.0824) loss_cl: -0.3673 (-0.3672) time: 0.8640 data: 0.0004 max mem: 29859 [03:13:55.204269] Epoch: [233] [160/850] eta: 0:10:12 lr: 0.002037 loss: 0.0194 (0.0205) loss_rec_all: 0.0557 (0.0566) loss_rec_sfr: 0.0606 (0.0820) loss_cl: -0.3667 (-0.3671) time: 0.8638 data: 0.0002 max mem: 29859 [03:14:12.440954] Epoch: [233] [180/850] eta: 0:09:52 lr: 0.002037 loss: 0.0194 (0.0204) loss_rec_all: 0.0557 (0.0566) loss_rec_sfr: 0.0563 (0.0808) loss_cl: -0.3669 (-0.3671) time: 0.8618 data: 0.0003 max mem: 29859 [03:14:29.814214] Epoch: [233] [200/850] eta: 0:09:33 lr: 0.002037 loss: 0.0183 (0.0204) loss_rec_all: 0.0547 (0.0566) loss_rec_sfr: 0.0628 (0.0796) loss_cl: -0.3675 (-0.3671) time: 0.8686 data: 0.0003 max mem: 29859 [03:14:47.054360] Epoch: [233] [220/850] eta: 0:09:15 lr: 0.002037 loss: 0.0187 (0.0203) loss_rec_all: 0.0550 (0.0564) loss_rec_sfr: 0.0568 (0.0793) loss_cl: -0.3679 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [03:15:04.354457] Epoch: [233] [240/850] eta: 0:08:56 lr: 0.002037 loss: 0.0188 (0.0202) loss_rec_all: 0.0552 (0.0564) loss_rec_sfr: 0.0809 (0.0793) loss_cl: -0.3680 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [03:15:21.675574] Epoch: [233] [260/850] eta: 0:08:38 lr: 0.002037 loss: 0.0187 (0.0202) loss_rec_all: 0.0550 (0.0564) loss_rec_sfr: 0.0594 (0.0788) loss_cl: -0.3677 (-0.3673) time: 0.8660 data: 0.0003 max mem: 29859 [03:15:38.966566] Epoch: [233] [280/850] eta: 0:08:20 lr: 0.002037 loss: 0.0179 (0.0201) loss_rec_all: 0.0540 (0.0563) loss_rec_sfr: 0.0606 (0.0787) loss_cl: -0.3676 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [03:15:56.224714] Epoch: [233] [300/850] eta: 0:08:02 lr: 0.002037 loss: 0.0187 (0.0201) loss_rec_all: 0.0551 (0.0562) loss_rec_sfr: 0.0611 (0.0786) loss_cl: -0.3672 (-0.3673) time: 0.8628 data: 0.0004 max mem: 29859 [03:16:13.610796] Epoch: [233] [320/850] eta: 0:07:44 lr: 0.002037 loss: 0.0201 (0.0201) loss_rec_all: 0.0563 (0.0563) loss_rec_sfr: 0.0872 (0.0795) loss_cl: -0.3667 (-0.3672) time: 0.8692 data: 0.0007 max mem: 29859 [03:16:30.871901] Epoch: [233] [340/850] eta: 0:07:26 lr: 0.002037 loss: 0.0181 (0.0201) loss_rec_all: 0.0546 (0.0563) loss_rec_sfr: 0.0550 (0.0791) loss_cl: -0.3669 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [03:16:48.172403] Epoch: [233] [360/850] eta: 0:07:08 lr: 0.002036 loss: 0.0192 (0.0201) loss_rec_all: 0.0553 (0.0563) loss_rec_sfr: 0.0714 (0.0793) loss_cl: -0.3668 (-0.3672) time: 0.8650 data: 0.0003 max mem: 29859 [03:17:05.493492] Epoch: [233] [380/850] eta: 0:06:50 lr: 0.002036 loss: 0.0192 (0.0201) loss_rec_all: 0.0554 (0.0562) loss_rec_sfr: 0.0636 (0.0790) loss_cl: -0.3674 (-0.3672) time: 0.8660 data: 0.0003 max mem: 29859 [03:17:22.812535] Epoch: [233] [400/850] eta: 0:06:33 lr: 0.002036 loss: 0.0189 (0.0200) loss_rec_all: 0.0549 (0.0562) loss_rec_sfr: 0.0647 (0.0786) loss_cl: -0.3682 (-0.3673) time: 0.8659 data: 0.0002 max mem: 29859 [03:17:40.069372] Epoch: [233] [420/850] eta: 0:06:15 lr: 0.002036 loss: 0.0181 (0.0199) loss_rec_all: 0.0545 (0.0561) loss_rec_sfr: 0.0614 (0.0782) loss_cl: -0.3680 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [03:17:57.416400] Epoch: [233] [440/850] eta: 0:05:57 lr: 0.002036 loss: 0.0193 (0.0200) loss_rec_all: 0.0554 (0.0561) loss_rec_sfr: 0.0808 (0.0783) loss_cl: -0.3679 (-0.3673) time: 0.8673 data: 0.0004 max mem: 29859 [03:18:14.695690] Epoch: [233] [460/850] eta: 0:05:40 lr: 0.002036 loss: 0.0184 (0.0200) loss_rec_all: 0.0547 (0.0561) loss_rec_sfr: 0.0827 (0.0783) loss_cl: -0.3672 (-0.3673) time: 0.8639 data: 0.0003 max mem: 29859 [03:18:31.996330] Epoch: [233] [480/850] eta: 0:05:22 lr: 0.002036 loss: 0.0211 (0.0200) loss_rec_all: 0.0572 (0.0562) loss_rec_sfr: 0.0642 (0.0786) loss_cl: -0.3667 (-0.3673) time: 0.8650 data: 0.0002 max mem: 29859 [03:18:49.284361] Epoch: [233] [500/850] eta: 0:05:05 lr: 0.002036 loss: 0.0201 (0.0201) loss_rec_all: 0.0561 (0.0562) loss_rec_sfr: 0.0898 (0.0789) loss_cl: -0.3665 (-0.3672) time: 0.8643 data: 0.0003 max mem: 29859 [03:19:06.668380] Epoch: [233] [520/850] eta: 0:04:47 lr: 0.002036 loss: 0.0199 (0.0201) loss_rec_all: 0.0562 (0.0563) loss_rec_sfr: 0.0639 (0.0789) loss_cl: -0.3667 (-0.3672) time: 0.8691 data: 0.0004 max mem: 29859 [03:19:23.912481] Epoch: [233] [540/850] eta: 0:04:30 lr: 0.002036 loss: 0.0205 (0.0202) loss_rec_all: 0.0567 (0.0563) loss_rec_sfr: 0.0742 (0.0790) loss_cl: -0.3671 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [03:19:41.197137] Epoch: [233] [560/850] eta: 0:04:12 lr: 0.002036 loss: 0.0202 (0.0202) loss_rec_all: 0.0566 (0.0564) loss_rec_sfr: 0.0581 (0.0786) loss_cl: -0.3678 (-0.3672) time: 0.8642 data: 0.0002 max mem: 29859 [03:19:58.532194] Epoch: [233] [580/850] eta: 0:03:55 lr: 0.002036 loss: 0.0200 (0.0202) loss_rec_all: 0.0561 (0.0564) loss_rec_sfr: 0.0619 (0.0786) loss_cl: -0.3680 (-0.3672) time: 0.8667 data: 0.0004 max mem: 29859 [03:20:15.843427] Epoch: [233] [600/850] eta: 0:03:37 lr: 0.002035 loss: 0.0194 (0.0202) loss_rec_all: 0.0556 (0.0564) loss_rec_sfr: 0.0861 (0.0788) loss_cl: -0.3674 (-0.3673) time: 0.8655 data: 0.0002 max mem: 29859 [03:20:33.102349] Epoch: [233] [620/850] eta: 0:03:20 lr: 0.002035 loss: 0.0208 (0.0202) loss_rec_all: 0.0566 (0.0564) loss_rec_sfr: 0.0845 (0.0791) loss_cl: -0.3669 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [03:20:50.473963] Epoch: [233] [640/850] eta: 0:03:02 lr: 0.002035 loss: 0.0194 (0.0203) loss_rec_all: 0.0557 (0.0564) loss_rec_sfr: 0.0814 (0.0791) loss_cl: -0.3669 (-0.3672) time: 0.8684 data: 0.0003 max mem: 29859 [03:21:07.762628] Epoch: [233] [660/850] eta: 0:02:45 lr: 0.002035 loss: 0.0198 (0.0203) loss_rec_all: 0.0561 (0.0565) loss_rec_sfr: 0.0620 (0.0792) loss_cl: -0.3672 (-0.3672) time: 0.8644 data: 0.0003 max mem: 29859 [03:21:25.048338] Epoch: [233] [680/850] eta: 0:02:27 lr: 0.002035 loss: 0.0194 (0.0203) loss_rec_all: 0.0558 (0.0565) loss_rec_sfr: 0.0582 (0.0790) loss_cl: -0.3676 (-0.3672) time: 0.8642 data: 0.0002 max mem: 29859 [03:21:42.354220] Epoch: [233] [700/850] eta: 0:02:10 lr: 0.002035 loss: 0.0221 (0.0204) loss_rec_all: 0.0580 (0.0565) loss_rec_sfr: 0.0912 (0.0794) loss_cl: -0.3679 (-0.3673) time: 0.8652 data: 0.0003 max mem: 29859 [03:21:59.717134] Epoch: [233] [720/850] eta: 0:01:53 lr: 0.002035 loss: 0.0191 (0.0204) loss_rec_all: 0.0554 (0.0565) loss_rec_sfr: 0.0630 (0.0794) loss_cl: -0.3683 (-0.3673) time: 0.8681 data: 0.0003 max mem: 29859 [03:22:16.955369] Epoch: [233] [740/850] eta: 0:01:35 lr: 0.002035 loss: 0.0198 (0.0204) loss_rec_all: 0.0558 (0.0565) loss_rec_sfr: 0.0669 (0.0793) loss_cl: -0.3681 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [03:22:34.249700] Epoch: [233] [760/850] eta: 0:01:18 lr: 0.002035 loss: 0.0192 (0.0204) loss_rec_all: 0.0555 (0.0565) loss_rec_sfr: 0.0659 (0.0793) loss_cl: -0.3669 (-0.3673) time: 0.8647 data: 0.0003 max mem: 29859 [03:22:51.574364] Epoch: [233] [780/850] eta: 0:01:00 lr: 0.002035 loss: 0.0203 (0.0204) loss_rec_all: 0.0561 (0.0566) loss_rec_sfr: 0.0872 (0.0795) loss_cl: -0.3663 (-0.3673) time: 0.8662 data: 0.0004 max mem: 29859 [03:23:08.866878] Epoch: [233] [800/850] eta: 0:00:43 lr: 0.002035 loss: 0.0191 (0.0204) loss_rec_all: 0.0552 (0.0566) loss_rec_sfr: 0.0827 (0.0794) loss_cl: -0.3664 (-0.3672) time: 0.8646 data: 0.0002 max mem: 29859 [03:23:26.116008] Epoch: [233] [820/850] eta: 0:00:26 lr: 0.002035 loss: 0.0195 (0.0204) loss_rec_all: 0.0555 (0.0566) loss_rec_sfr: 0.0617 (0.0793) loss_cl: -0.3671 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [03:23:43.520066] Epoch: [233] [840/850] eta: 0:00:08 lr: 0.002034 loss: 0.0188 (0.0204) loss_rec_all: 0.0552 (0.0566) loss_rec_sfr: 0.0567 (0.0792) loss_cl: -0.3677 (-0.3673) time: 0.8701 data: 0.0008 max mem: 29859 [03:23:51.289911] Epoch: [233] [849/850] eta: 0:00:00 lr: 0.002034 loss: 0.0186 (0.0204) loss_rec_all: 0.0551 (0.0565) loss_rec_sfr: 0.0593 (0.0791) loss_cl: -0.3675 (-0.3673) time: 0.8691 data: 0.0007 max mem: 29859 [03:23:51.425157] Epoch: [233] Total time: 0:12:19 (0.8695 s / it) [03:23:51.428000] Averaged stats: lr: 0.002034 loss: 0.0186 (0.0204) loss_rec_all: 0.0551 (0.0566) loss_rec_sfr: 0.0593 (0.0793) loss_cl: -0.3675 (-0.3673) [03:23:51.434841] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [03:23:55.817077] Epoch: [234] [ 0/850] eta: 1:02:04 lr: 0.002034 loss: 0.0161 (0.0161) loss_rec_all: 0.0524 (0.0524) loss_rec_sfr: 0.0615 (0.0615) loss_cl: -0.3671 (-0.3671) time: 4.3816 data: 3.5229 max mem: 29859 [03:24:13.015620] Epoch: [234] [ 20/850] eta: 0:14:12 lr: 0.002034 loss: 0.0186 (0.0191) loss_rec_all: 0.0548 (0.0553) loss_rec_sfr: 0.0586 (0.0720) loss_cl: -0.3674 (-0.3673) time: 0.8599 data: 0.0002 max mem: 29859 [03:24:30.339156] Epoch: [234] [ 40/850] eta: 0:12:48 lr: 0.002034 loss: 0.0194 (0.0196) loss_rec_all: 0.0557 (0.0558) loss_rec_sfr: 0.0671 (0.0745) loss_cl: -0.3671 (-0.3672) time: 0.8661 data: 0.0003 max mem: 29859 [03:24:47.603106] Epoch: [234] [ 60/850] eta: 0:12:07 lr: 0.002034 loss: 0.0197 (0.0198) loss_rec_all: 0.0558 (0.0560) loss_rec_sfr: 0.0931 (0.0772) loss_cl: -0.3672 (-0.3672) time: 0.8631 data: 0.0003 max mem: 29859 [03:25:04.885894] Epoch: [234] [ 80/850] eta: 0:11:38 lr: 0.002034 loss: 0.0189 (0.0198) loss_rec_all: 0.0549 (0.0560) loss_rec_sfr: 0.0827 (0.0791) loss_cl: -0.3669 (-0.3671) time: 0.8641 data: 0.0003 max mem: 29859 [03:25:22.165917] Epoch: [234] [100/850] eta: 0:11:13 lr: 0.002034 loss: 0.0189 (0.0198) loss_rec_all: 0.0548 (0.0559) loss_rec_sfr: 0.0600 (0.0793) loss_cl: -0.3674 (-0.3671) time: 0.8639 data: 0.0003 max mem: 29859 [03:25:39.551819] Epoch: [234] [120/850] eta: 0:10:52 lr: 0.002034 loss: 0.0187 (0.0197) loss_rec_all: 0.0551 (0.0559) loss_rec_sfr: 0.0581 (0.0777) loss_cl: -0.3674 (-0.3671) time: 0.8692 data: 0.0003 max mem: 29859 [03:25:56.830772] Epoch: [234] [140/850] eta: 0:10:31 lr: 0.002034 loss: 0.0199 (0.0198) loss_rec_all: 0.0559 (0.0559) loss_rec_sfr: 0.0932 (0.0793) loss_cl: -0.3670 (-0.3671) time: 0.8639 data: 0.0002 max mem: 29859 [03:26:14.145342] Epoch: [234] [160/850] eta: 0:10:11 lr: 0.002034 loss: 0.0183 (0.0197) loss_rec_all: 0.0545 (0.0559) loss_rec_sfr: 0.0585 (0.0774) loss_cl: -0.3668 (-0.3671) time: 0.8657 data: 0.0002 max mem: 29859 [03:26:31.454103] Epoch: [234] [180/850] eta: 0:09:52 lr: 0.002034 loss: 0.0201 (0.0198) loss_rec_all: 0.0561 (0.0559) loss_rec_sfr: 0.0807 (0.0777) loss_cl: -0.3671 (-0.3671) time: 0.8654 data: 0.0004 max mem: 29859 [03:26:48.762850] Epoch: [234] [200/850] eta: 0:09:33 lr: 0.002034 loss: 0.0193 (0.0197) loss_rec_all: 0.0554 (0.0559) loss_rec_sfr: 0.0696 (0.0782) loss_cl: -0.3675 (-0.3671) time: 0.8654 data: 0.0003 max mem: 29859 [03:27:06.010180] Epoch: [234] [220/850] eta: 0:09:14 lr: 0.002033 loss: 0.0189 (0.0197) loss_rec_all: 0.0551 (0.0559) loss_rec_sfr: 0.0588 (0.0774) loss_cl: -0.3675 (-0.3671) time: 0.8623 data: 0.0002 max mem: 29859 [03:27:23.402644] Epoch: [234] [240/850] eta: 0:08:56 lr: 0.002033 loss: 0.0198 (0.0198) loss_rec_all: 0.0561 (0.0559) loss_rec_sfr: 0.0778 (0.0772) loss_cl: -0.3678 (-0.3672) time: 0.8695 data: 0.0004 max mem: 29859 [03:27:40.658408] Epoch: [234] [260/850] eta: 0:08:38 lr: 0.002033 loss: 0.0199 (0.0199) loss_rec_all: 0.0563 (0.0560) loss_rec_sfr: 0.0915 (0.0781) loss_cl: -0.3680 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [03:27:57.936490] Epoch: [234] [280/850] eta: 0:08:19 lr: 0.002033 loss: 0.0203 (0.0199) loss_rec_all: 0.0566 (0.0561) loss_rec_sfr: 0.0630 (0.0782) loss_cl: -0.3670 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [03:28:15.227348] Epoch: [234] [300/850] eta: 0:08:01 lr: 0.002033 loss: 0.0193 (0.0199) loss_rec_all: 0.0555 (0.0561) loss_rec_sfr: 0.0597 (0.0782) loss_cl: -0.3667 (-0.3672) time: 0.8645 data: 0.0003 max mem: 29859 [03:28:32.570264] Epoch: [234] [320/850] eta: 0:07:44 lr: 0.002033 loss: 0.0188 (0.0199) loss_rec_all: 0.0551 (0.0561) loss_rec_sfr: 0.0637 (0.0784) loss_cl: -0.3664 (-0.3671) time: 0.8671 data: 0.0003 max mem: 29859 [03:28:49.811274] Epoch: [234] [340/850] eta: 0:07:26 lr: 0.002033 loss: 0.0203 (0.0200) loss_rec_all: 0.0565 (0.0561) loss_rec_sfr: 0.0803 (0.0785) loss_cl: -0.3675 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [03:29:07.138538] Epoch: [234] [360/850] eta: 0:07:08 lr: 0.002033 loss: 0.0175 (0.0199) loss_rec_all: 0.0539 (0.0560) loss_rec_sfr: 0.0577 (0.0781) loss_cl: -0.3679 (-0.3672) time: 0.8663 data: 0.0003 max mem: 29859 [03:29:24.470509] Epoch: [234] [380/850] eta: 0:06:50 lr: 0.002033 loss: 0.0199 (0.0199) loss_rec_all: 0.0562 (0.0561) loss_rec_sfr: 0.0815 (0.0782) loss_cl: -0.3678 (-0.3672) time: 0.8665 data: 0.0004 max mem: 29859 [03:29:41.775941] Epoch: [234] [400/850] eta: 0:06:33 lr: 0.002033 loss: 0.0174 (0.0199) loss_rec_all: 0.0538 (0.0561) loss_rec_sfr: 0.0603 (0.0780) loss_cl: -0.3674 (-0.3672) time: 0.8652 data: 0.0003 max mem: 29859 [03:29:59.029193] Epoch: [234] [420/850] eta: 0:06:15 lr: 0.002033 loss: 0.0185 (0.0199) loss_rec_all: 0.0547 (0.0560) loss_rec_sfr: 0.0645 (0.0782) loss_cl: -0.3670 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [03:30:16.354820] Epoch: [234] [440/850] eta: 0:05:57 lr: 0.002033 loss: 0.0198 (0.0199) loss_rec_all: 0.0559 (0.0561) loss_rec_sfr: 0.0628 (0.0781) loss_cl: -0.3670 (-0.3672) time: 0.8662 data: 0.0003 max mem: 29859 [03:30:33.653067] Epoch: [234] [460/850] eta: 0:05:40 lr: 0.002032 loss: 0.0196 (0.0199) loss_rec_all: 0.0560 (0.0561) loss_rec_sfr: 0.0973 (0.0787) loss_cl: -0.3677 (-0.3672) time: 0.8648 data: 0.0003 max mem: 29859 [03:30:50.940991] Epoch: [234] [480/850] eta: 0:05:22 lr: 0.002032 loss: 0.0194 (0.0199) loss_rec_all: 0.0554 (0.0561) loss_rec_sfr: 0.0614 (0.0786) loss_cl: -0.3674 (-0.3672) time: 0.8643 data: 0.0002 max mem: 29859 [03:31:08.276983] Epoch: [234] [500/850] eta: 0:05:05 lr: 0.002032 loss: 0.0193 (0.0199) loss_rec_all: 0.0553 (0.0561) loss_rec_sfr: 0.0712 (0.0786) loss_cl: -0.3670 (-0.3672) time: 0.8667 data: 0.0003 max mem: 29859 [03:31:25.612137] Epoch: [234] [520/850] eta: 0:04:47 lr: 0.002032 loss: 0.0204 (0.0200) loss_rec_all: 0.0567 (0.0561) loss_rec_sfr: 0.0673 (0.0786) loss_cl: -0.3674 (-0.3672) time: 0.8667 data: 0.0003 max mem: 29859 [03:31:42.874662] Epoch: [234] [540/850] eta: 0:04:30 lr: 0.002032 loss: 0.0199 (0.0200) loss_rec_all: 0.0559 (0.0562) loss_rec_sfr: 0.0676 (0.0786) loss_cl: -0.3674 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [03:32:00.192249] Epoch: [234] [560/850] eta: 0:04:12 lr: 0.002032 loss: 0.0206 (0.0200) loss_rec_all: 0.0564 (0.0562) loss_rec_sfr: 0.0642 (0.0789) loss_cl: -0.3673 (-0.3672) time: 0.8658 data: 0.0002 max mem: 29859 [03:32:17.510101] Epoch: [234] [580/850] eta: 0:03:55 lr: 0.002032 loss: 0.0189 (0.0200) loss_rec_all: 0.0551 (0.0561) loss_rec_sfr: 0.0623 (0.0788) loss_cl: -0.3674 (-0.3673) time: 0.8658 data: 0.0002 max mem: 29859 [03:32:34.794004] Epoch: [234] [600/850] eta: 0:03:37 lr: 0.002032 loss: 0.0183 (0.0199) loss_rec_all: 0.0547 (0.0561) loss_rec_sfr: 0.0537 (0.0785) loss_cl: -0.3679 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [03:32:52.063439] Epoch: [234] [620/850] eta: 0:03:20 lr: 0.002032 loss: 0.0184 (0.0199) loss_rec_all: 0.0545 (0.0561) loss_rec_sfr: 0.0599 (0.0784) loss_cl: -0.3677 (-0.3673) time: 0.8634 data: 0.0005 max mem: 29859 [03:33:09.466989] Epoch: [234] [640/850] eta: 0:03:02 lr: 0.002032 loss: 0.0192 (0.0199) loss_rec_all: 0.0555 (0.0561) loss_rec_sfr: 0.0623 (0.0784) loss_cl: -0.3682 (-0.3673) time: 0.8701 data: 0.0003 max mem: 29859 [03:33:26.711235] Epoch: [234] [660/850] eta: 0:02:45 lr: 0.002032 loss: 0.0191 (0.0199) loss_rec_all: 0.0551 (0.0561) loss_rec_sfr: 0.0783 (0.0785) loss_cl: -0.3678 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [03:33:44.010505] Epoch: [234] [680/850] eta: 0:02:27 lr: 0.002032 loss: 0.0197 (0.0199) loss_rec_all: 0.0559 (0.0561) loss_rec_sfr: 0.0819 (0.0787) loss_cl: -0.3674 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [03:34:01.384253] Epoch: [234] [700/850] eta: 0:02:10 lr: 0.002031 loss: 0.0197 (0.0199) loss_rec_all: 0.0557 (0.0561) loss_rec_sfr: 0.0608 (0.0784) loss_cl: -0.3667 (-0.3673) time: 0.8686 data: 0.0004 max mem: 29859 [03:34:18.679301] Epoch: [234] [720/850] eta: 0:01:53 lr: 0.002031 loss: 0.0221 (0.0200) loss_rec_all: 0.0584 (0.0561) loss_rec_sfr: 0.0842 (0.0787) loss_cl: -0.3669 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [03:34:35.924369] Epoch: [234] [740/850] eta: 0:01:35 lr: 0.002031 loss: 0.0225 (0.0201) loss_rec_all: 0.0587 (0.0562) loss_rec_sfr: 0.0931 (0.0791) loss_cl: -0.3672 (-0.3673) time: 0.8622 data: 0.0010 max mem: 29859 [03:34:53.269671] Epoch: [234] [760/850] eta: 0:01:18 lr: 0.002031 loss: 0.0220 (0.0202) loss_rec_all: 0.0580 (0.0563) loss_rec_sfr: 0.0952 (0.0795) loss_cl: -0.3673 (-0.3673) time: 0.8672 data: 0.0003 max mem: 29859 [03:35:10.553712] Epoch: [234] [780/850] eta: 0:01:00 lr: 0.002031 loss: 0.0225 (0.0202) loss_rec_all: 0.0584 (0.0564) loss_rec_sfr: 0.0903 (0.0798) loss_cl: -0.3662 (-0.3673) time: 0.8641 data: 0.0003 max mem: 29859 [03:35:27.860899] Epoch: [234] [800/850] eta: 0:00:43 lr: 0.002031 loss: 0.0201 (0.0202) loss_rec_all: 0.0562 (0.0564) loss_rec_sfr: 0.0624 (0.0796) loss_cl: -0.3669 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [03:35:45.135894] Epoch: [234] [820/850] eta: 0:00:26 lr: 0.002031 loss: 0.0202 (0.0203) loss_rec_all: 0.0564 (0.0564) loss_rec_sfr: 0.0653 (0.0796) loss_cl: -0.3673 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [03:36:02.467770] Epoch: [234] [840/850] eta: 0:00:08 lr: 0.002031 loss: 0.0204 (0.0203) loss_rec_all: 0.0567 (0.0564) loss_rec_sfr: 0.0800 (0.0796) loss_cl: -0.3676 (-0.3673) time: 0.8665 data: 0.0007 max mem: 29859 [03:36:10.238981] Epoch: [234] [849/850] eta: 0:00:00 lr: 0.002031 loss: 0.0193 (0.0203) loss_rec_all: 0.0556 (0.0564) loss_rec_sfr: 0.0805 (0.0796) loss_cl: -0.3673 (-0.3673) time: 0.8648 data: 0.0006 max mem: 29859 [03:36:10.389091] Epoch: [234] Total time: 0:12:18 (0.8694 s / it) [03:36:10.390575] Averaged stats: lr: 0.002031 loss: 0.0193 (0.0202) loss_rec_all: 0.0556 (0.0564) loss_rec_sfr: 0.0805 (0.0794) loss_cl: -0.3673 (-0.3673) [03:36:10.396324] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [03:36:14.806648] Epoch: [235] [ 0/850] eta: 1:02:28 lr: 0.002031 loss: 0.0241 (0.0241) loss_rec_all: 0.0603 (0.0603) loss_rec_sfr: 0.0818 (0.0818) loss_cl: -0.3679 (-0.3679) time: 4.4096 data: 3.5548 max mem: 29859 [03:36:32.020711] Epoch: [235] [ 20/850] eta: 0:14:14 lr: 0.002031 loss: 0.0185 (0.0196) loss_rec_all: 0.0548 (0.0558) loss_rec_sfr: 0.0625 (0.0718) loss_cl: -0.3676 (-0.3675) time: 0.8606 data: 0.0002 max mem: 29859 [03:36:49.405711] Epoch: [235] [ 40/850] eta: 0:12:50 lr: 0.002031 loss: 0.0188 (0.0197) loss_rec_all: 0.0551 (0.0559) loss_rec_sfr: 0.0660 (0.0751) loss_cl: -0.3674 (-0.3675) time: 0.8692 data: 0.0004 max mem: 29859 [03:37:06.645450] Epoch: [235] [ 60/850] eta: 0:12:08 lr: 0.002031 loss: 0.0187 (0.0197) loss_rec_all: 0.0549 (0.0559) loss_rec_sfr: 0.0600 (0.0736) loss_cl: -0.3675 (-0.3675) time: 0.8619 data: 0.0003 max mem: 29859 [03:37:23.923845] Epoch: [235] [ 80/850] eta: 0:11:38 lr: 0.002030 loss: 0.0181 (0.0194) loss_rec_all: 0.0543 (0.0556) loss_rec_sfr: 0.0746 (0.0750) loss_cl: -0.3670 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [03:37:41.251667] Epoch: [235] [100/850] eta: 0:11:14 lr: 0.002030 loss: 0.0193 (0.0195) loss_rec_all: 0.0552 (0.0557) loss_rec_sfr: 0.0857 (0.0775) loss_cl: -0.3674 (-0.3674) time: 0.8663 data: 0.0003 max mem: 29859 [03:37:58.581259] Epoch: [235] [120/850] eta: 0:10:52 lr: 0.002030 loss: 0.0191 (0.0195) loss_rec_all: 0.0552 (0.0557) loss_rec_sfr: 0.0814 (0.0787) loss_cl: -0.3665 (-0.3673) time: 0.8664 data: 0.0003 max mem: 29859 [03:38:15.849252] Epoch: [235] [140/850] eta: 0:10:31 lr: 0.002030 loss: 0.0189 (0.0194) loss_rec_all: 0.0549 (0.0556) loss_rec_sfr: 0.0632 (0.0792) loss_cl: -0.3669 (-0.3672) time: 0.8633 data: 0.0003 max mem: 29859 [03:38:33.185388] Epoch: [235] [160/850] eta: 0:10:11 lr: 0.002030 loss: 0.0185 (0.0194) loss_rec_all: 0.0550 (0.0555) loss_rec_sfr: 0.0793 (0.0794) loss_cl: -0.3674 (-0.3673) time: 0.8667 data: 0.0002 max mem: 29859 [03:38:50.498926] Epoch: [235] [180/850] eta: 0:09:52 lr: 0.002030 loss: 0.0186 (0.0194) loss_rec_all: 0.0545 (0.0556) loss_rec_sfr: 0.0781 (0.0795) loss_cl: -0.3674 (-0.3673) time: 0.8656 data: 0.0003 max mem: 29859 [03:39:07.803084] Epoch: [235] [200/850] eta: 0:09:33 lr: 0.002030 loss: 0.0229 (0.0200) loss_rec_all: 0.0587 (0.0561) loss_rec_sfr: 0.0672 (0.0797) loss_cl: -0.3671 (-0.3673) time: 0.8651 data: 0.0003 max mem: 29859 [03:39:25.076140] Epoch: [235] [220/850] eta: 0:09:14 lr: 0.002030 loss: 0.0234 (0.0204) loss_rec_all: 0.0596 (0.0566) loss_rec_sfr: 0.0661 (0.0799) loss_cl: -0.3678 (-0.3673) time: 0.8636 data: 0.0004 max mem: 29859 [03:39:42.413930] Epoch: [235] [240/850] eta: 0:08:56 lr: 0.002030 loss: 0.0240 (0.0208) loss_rec_all: 0.0603 (0.0570) loss_rec_sfr: 0.0689 (0.0800) loss_cl: -0.3677 (-0.3674) time: 0.8668 data: 0.0002 max mem: 29859 [03:39:59.665802] Epoch: [235] [260/850] eta: 0:08:38 lr: 0.002030 loss: 0.0235 (0.0211) loss_rec_all: 0.0598 (0.0573) loss_rec_sfr: 0.0846 (0.0805) loss_cl: -0.3673 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [03:40:16.943737] Epoch: [235] [280/850] eta: 0:08:20 lr: 0.002030 loss: 0.0225 (0.0213) loss_rec_all: 0.0587 (0.0575) loss_rec_sfr: 0.0671 (0.0804) loss_cl: -0.3671 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [03:40:34.267422] Epoch: [235] [300/850] eta: 0:08:02 lr: 0.002030 loss: 0.0230 (0.0214) loss_rec_all: 0.0588 (0.0576) loss_rec_sfr: 0.0890 (0.0810) loss_cl: -0.3672 (-0.3673) time: 0.8661 data: 0.0003 max mem: 29859 [03:40:51.549569] Epoch: [235] [320/850] eta: 0:07:44 lr: 0.002029 loss: 0.0209 (0.0215) loss_rec_all: 0.0570 (0.0576) loss_rec_sfr: 0.0856 (0.0813) loss_cl: -0.3667 (-0.3673) time: 0.8641 data: 0.0003 max mem: 29859 [03:41:08.810047] Epoch: [235] [340/850] eta: 0:07:26 lr: 0.002029 loss: 0.0198 (0.0214) loss_rec_all: 0.0561 (0.0576) loss_rec_sfr: 0.0631 (0.0809) loss_cl: -0.3668 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [03:41:26.162588] Epoch: [235] [360/850] eta: 0:07:08 lr: 0.002029 loss: 0.0203 (0.0214) loss_rec_all: 0.0565 (0.0576) loss_rec_sfr: 0.0660 (0.0806) loss_cl: -0.3672 (-0.3673) time: 0.8676 data: 0.0003 max mem: 29859 [03:41:43.384100] Epoch: [235] [380/850] eta: 0:06:50 lr: 0.002029 loss: 0.0187 (0.0213) loss_rec_all: 0.0551 (0.0575) loss_rec_sfr: 0.0619 (0.0805) loss_cl: -0.3676 (-0.3673) time: 0.8610 data: 0.0002 max mem: 29859 [03:42:00.673413] Epoch: [235] [400/850] eta: 0:06:33 lr: 0.002029 loss: 0.0180 (0.0212) loss_rec_all: 0.0544 (0.0573) loss_rec_sfr: 0.0558 (0.0799) loss_cl: -0.3673 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [03:42:17.991078] Epoch: [235] [420/850] eta: 0:06:15 lr: 0.002029 loss: 0.0187 (0.0211) loss_rec_all: 0.0550 (0.0573) loss_rec_sfr: 0.0620 (0.0795) loss_cl: -0.3675 (-0.3673) time: 0.8657 data: 0.0003 max mem: 29859 [03:42:35.278849] Epoch: [235] [440/850] eta: 0:05:57 lr: 0.002029 loss: 0.0177 (0.0210) loss_rec_all: 0.0541 (0.0572) loss_rec_sfr: 0.0561 (0.0793) loss_cl: -0.3673 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [03:42:52.522760] Epoch: [235] [460/850] eta: 0:05:40 lr: 0.002029 loss: 0.0175 (0.0209) loss_rec_all: 0.0539 (0.0571) loss_rec_sfr: 0.0577 (0.0790) loss_cl: -0.3672 (-0.3673) time: 0.8621 data: 0.0003 max mem: 29859 [03:43:09.909246] Epoch: [235] [480/850] eta: 0:05:22 lr: 0.002029 loss: 0.0200 (0.0209) loss_rec_all: 0.0560 (0.0570) loss_rec_sfr: 0.1026 (0.0794) loss_cl: -0.3671 (-0.3673) time: 0.8692 data: 0.0006 max mem: 29859 [03:43:27.154794] Epoch: [235] [500/850] eta: 0:05:05 lr: 0.002029 loss: 0.0185 (0.0208) loss_rec_all: 0.0549 (0.0570) loss_rec_sfr: 0.0628 (0.0791) loss_cl: -0.3675 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [03:43:44.491895] Epoch: [235] [520/850] eta: 0:04:47 lr: 0.002029 loss: 0.0197 (0.0208) loss_rec_all: 0.0558 (0.0570) loss_rec_sfr: 0.0820 (0.0792) loss_cl: -0.3675 (-0.3673) time: 0.8668 data: 0.0003 max mem: 29859 [03:44:01.835759] Epoch: [235] [540/850] eta: 0:04:30 lr: 0.002029 loss: 0.0195 (0.0208) loss_rec_all: 0.0559 (0.0569) loss_rec_sfr: 0.0649 (0.0792) loss_cl: -0.3683 (-0.3673) time: 0.8671 data: 0.0004 max mem: 29859 [03:44:19.136230] Epoch: [235] [560/850] eta: 0:04:12 lr: 0.002028 loss: 0.0193 (0.0208) loss_rec_all: 0.0557 (0.0569) loss_rec_sfr: 0.0797 (0.0794) loss_cl: -0.3690 (-0.3674) time: 0.8649 data: 0.0002 max mem: 29859 [03:44:36.379426] Epoch: [235] [580/850] eta: 0:03:55 lr: 0.002028 loss: 0.0205 (0.0208) loss_rec_all: 0.0565 (0.0569) loss_rec_sfr: 0.0768 (0.0795) loss_cl: -0.3679 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [03:44:53.723353] Epoch: [235] [600/850] eta: 0:03:37 lr: 0.002028 loss: 0.0184 (0.0207) loss_rec_all: 0.0548 (0.0569) loss_rec_sfr: 0.0603 (0.0794) loss_cl: -0.3671 (-0.3674) time: 0.8671 data: 0.0002 max mem: 29859 [03:45:10.973468] Epoch: [235] [620/850] eta: 0:03:20 lr: 0.002028 loss: 0.0201 (0.0207) loss_rec_all: 0.0563 (0.0569) loss_rec_sfr: 0.0573 (0.0793) loss_cl: -0.3659 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [03:45:28.255462] Epoch: [235] [640/850] eta: 0:03:02 lr: 0.002028 loss: 0.0180 (0.0207) loss_rec_all: 0.0542 (0.0568) loss_rec_sfr: 0.0572 (0.0790) loss_cl: -0.3668 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [03:45:45.534549] Epoch: [235] [660/850] eta: 0:02:45 lr: 0.002028 loss: 0.0190 (0.0206) loss_rec_all: 0.0554 (0.0568) loss_rec_sfr: 0.0583 (0.0787) loss_cl: -0.3670 (-0.3673) time: 0.8639 data: 0.0003 max mem: 29859 [03:46:02.843091] Epoch: [235] [680/850] eta: 0:02:27 lr: 0.002028 loss: 0.0191 (0.0206) loss_rec_all: 0.0554 (0.0568) loss_rec_sfr: 0.0621 (0.0786) loss_cl: -0.3679 (-0.3673) time: 0.8654 data: 0.0002 max mem: 29859 [03:46:20.081562] Epoch: [235] [700/850] eta: 0:02:10 lr: 0.002028 loss: 0.0201 (0.0206) loss_rec_all: 0.0565 (0.0568) loss_rec_sfr: 0.0811 (0.0788) loss_cl: -0.3673 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [03:46:37.443317] Epoch: [235] [720/850] eta: 0:01:53 lr: 0.002028 loss: 0.0210 (0.0206) loss_rec_all: 0.0569 (0.0568) loss_rec_sfr: 0.0906 (0.0793) loss_cl: -0.3666 (-0.3673) time: 0.8680 data: 0.0005 max mem: 29859 [03:46:54.726147] Epoch: [235] [740/850] eta: 0:01:35 lr: 0.002028 loss: 0.0229 (0.0207) loss_rec_all: 0.0590 (0.0568) loss_rec_sfr: 0.1046 (0.0798) loss_cl: -0.3666 (-0.3673) time: 0.8641 data: 0.0003 max mem: 29859 [03:47:11.998141] Epoch: [235] [760/850] eta: 0:01:18 lr: 0.002028 loss: 0.0197 (0.0207) loss_rec_all: 0.0560 (0.0568) loss_rec_sfr: 0.0563 (0.0797) loss_cl: -0.3669 (-0.3672) time: 0.8635 data: 0.0002 max mem: 29859 [03:47:29.315666] Epoch: [235] [780/850] eta: 0:01:00 lr: 0.002028 loss: 0.0202 (0.0207) loss_rec_all: 0.0563 (0.0569) loss_rec_sfr: 0.0787 (0.0798) loss_cl: -0.3673 (-0.3672) time: 0.8658 data: 0.0003 max mem: 29859 [03:47:46.642911] Epoch: [235] [800/850] eta: 0:00:43 lr: 0.002027 loss: 0.0193 (0.0207) loss_rec_all: 0.0558 (0.0568) loss_rec_sfr: 0.0683 (0.0797) loss_cl: -0.3675 (-0.3673) time: 0.8663 data: 0.0002 max mem: 29859 [03:48:03.909539] Epoch: [235] [820/850] eta: 0:00:26 lr: 0.002027 loss: 0.0198 (0.0207) loss_rec_all: 0.0559 (0.0568) loss_rec_sfr: 0.0570 (0.0796) loss_cl: -0.3678 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [03:48:21.276590] Epoch: [235] [840/850] eta: 0:00:08 lr: 0.002027 loss: 0.0188 (0.0207) loss_rec_all: 0.0549 (0.0568) loss_rec_sfr: 0.0654 (0.0795) loss_cl: -0.3674 (-0.3673) time: 0.8683 data: 0.0006 max mem: 29859 [03:48:29.086162] Epoch: [235] [849/850] eta: 0:00:00 lr: 0.002027 loss: 0.0192 (0.0206) loss_rec_all: 0.0557 (0.0568) loss_rec_sfr: 0.0654 (0.0796) loss_cl: -0.3673 (-0.3673) time: 0.8697 data: 0.0006 max mem: 29859 [03:48:29.244661] Epoch: [235] Total time: 0:12:18 (0.8692 s / it) [03:48:29.252168] Averaged stats: lr: 0.002027 loss: 0.0192 (0.0208) loss_rec_all: 0.0557 (0.0569) loss_rec_sfr: 0.0654 (0.0814) loss_cl: -0.3673 (-0.3673) [03:48:29.265184] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [03:48:33.549086] Epoch: [236] [ 0/850] eta: 1:00:40 lr: 0.002027 loss: 0.0189 (0.0189) loss_rec_all: 0.0551 (0.0551) loss_rec_sfr: 0.0558 (0.0558) loss_cl: -0.3664 (-0.3664) time: 4.2830 data: 3.3214 max mem: 29859 [03:48:50.754188] Epoch: [236] [ 20/850] eta: 0:14:09 lr: 0.002027 loss: 0.0203 (0.0210) loss_rec_all: 0.0563 (0.0571) loss_rec_sfr: 0.0816 (0.0857) loss_cl: -0.3674 (-0.3674) time: 0.8602 data: 0.0003 max mem: 29859 [03:49:08.050975] Epoch: [236] [ 40/850] eta: 0:12:46 lr: 0.002027 loss: 0.0179 (0.0200) loss_rec_all: 0.0542 (0.0563) loss_rec_sfr: 0.0543 (0.0784) loss_cl: -0.3680 (-0.3677) time: 0.8648 data: 0.0003 max mem: 29859 [03:49:25.394602] Epoch: [236] [ 60/850] eta: 0:12:06 lr: 0.002027 loss: 0.0170 (0.0195) loss_rec_all: 0.0533 (0.0557) loss_rec_sfr: 0.0638 (0.0768) loss_cl: -0.3676 (-0.3677) time: 0.8671 data: 0.0004 max mem: 29859 [03:49:42.664319] Epoch: [236] [ 80/850] eta: 0:11:37 lr: 0.002027 loss: 0.0193 (0.0194) loss_rec_all: 0.0554 (0.0556) loss_rec_sfr: 0.0770 (0.0779) loss_cl: -0.3670 (-0.3675) time: 0.8634 data: 0.0003 max mem: 29859 [03:49:59.943112] Epoch: [236] [100/850] eta: 0:11:13 lr: 0.002027 loss: 0.0198 (0.0196) loss_rec_all: 0.0560 (0.0558) loss_rec_sfr: 0.0888 (0.0803) loss_cl: -0.3673 (-0.3675) time: 0.8639 data: 0.0003 max mem: 29859 [03:50:17.328185] Epoch: [236] [120/850] eta: 0:10:51 lr: 0.002027 loss: 0.0207 (0.0200) loss_rec_all: 0.0571 (0.0562) loss_rec_sfr: 0.0813 (0.0808) loss_cl: -0.3675 (-0.3674) time: 0.8692 data: 0.0004 max mem: 29859 [03:50:34.598367] Epoch: [236] [140/850] eta: 0:10:31 lr: 0.002027 loss: 0.0217 (0.0202) loss_rec_all: 0.0576 (0.0564) loss_rec_sfr: 0.0686 (0.0813) loss_cl: -0.3674 (-0.3674) time: 0.8634 data: 0.0003 max mem: 29859 [03:50:51.904444] Epoch: [236] [160/850] eta: 0:10:11 lr: 0.002027 loss: 0.0249 (0.0210) loss_rec_all: 0.0609 (0.0571) loss_rec_sfr: 0.0732 (0.0820) loss_cl: -0.3678 (-0.3674) time: 0.8652 data: 0.0002 max mem: 29859 [03:51:09.231903] Epoch: [236] [180/850] eta: 0:09:52 lr: 0.002026 loss: 0.0236 (0.0213) loss_rec_all: 0.0596 (0.0575) loss_rec_sfr: 0.0938 (0.0831) loss_cl: -0.3680 (-0.3675) time: 0.8663 data: 0.0003 max mem: 29859 [03:51:26.538668] Epoch: [236] [200/850] eta: 0:09:33 lr: 0.002026 loss: 0.0226 (0.0215) loss_rec_all: 0.0588 (0.0576) loss_rec_sfr: 0.0681 (0.0828) loss_cl: -0.3679 (-0.3675) time: 0.8653 data: 0.0003 max mem: 29859 [03:51:43.788508] Epoch: [236] [220/850] eta: 0:09:14 lr: 0.002026 loss: 0.0220 (0.0216) loss_rec_all: 0.0583 (0.0578) loss_rec_sfr: 0.0747 (0.0834) loss_cl: -0.3676 (-0.3675) time: 0.8624 data: 0.0002 max mem: 29859 [03:52:01.147557] Epoch: [236] [240/850] eta: 0:08:56 lr: 0.002026 loss: 0.0204 (0.0215) loss_rec_all: 0.0566 (0.0577) loss_rec_sfr: 0.0591 (0.0826) loss_cl: -0.3674 (-0.3675) time: 0.8679 data: 0.0002 max mem: 29859 [03:52:18.382416] Epoch: [236] [260/850] eta: 0:08:37 lr: 0.002026 loss: 0.0212 (0.0216) loss_rec_all: 0.0575 (0.0577) loss_rec_sfr: 0.0848 (0.0828) loss_cl: -0.3671 (-0.3675) time: 0.8617 data: 0.0002 max mem: 29859 [03:52:35.636624] Epoch: [236] [280/850] eta: 0:08:19 lr: 0.002026 loss: 0.0206 (0.0216) loss_rec_all: 0.0566 (0.0577) loss_rec_sfr: 0.0691 (0.0827) loss_cl: -0.3669 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [03:52:52.952072] Epoch: [236] [300/850] eta: 0:08:01 lr: 0.002026 loss: 0.0187 (0.0214) loss_rec_all: 0.0550 (0.0576) loss_rec_sfr: 0.0586 (0.0818) loss_cl: -0.3669 (-0.3674) time: 0.8657 data: 0.0003 max mem: 29859 [03:53:10.297460] Epoch: [236] [320/850] eta: 0:07:43 lr: 0.002026 loss: 0.0196 (0.0213) loss_rec_all: 0.0557 (0.0575) loss_rec_sfr: 0.0605 (0.0815) loss_cl: -0.3673 (-0.3674) time: 0.8672 data: 0.0004 max mem: 29859 [03:53:27.540614] Epoch: [236] [340/850] eta: 0:07:26 lr: 0.002026 loss: 0.0187 (0.0212) loss_rec_all: 0.0552 (0.0574) loss_rec_sfr: 0.0572 (0.0810) loss_cl: -0.3675 (-0.3674) time: 0.8621 data: 0.0003 max mem: 29859 [03:53:44.851508] Epoch: [236] [360/850] eta: 0:07:08 lr: 0.002026 loss: 0.0183 (0.0210) loss_rec_all: 0.0543 (0.0572) loss_rec_sfr: 0.0633 (0.0811) loss_cl: -0.3675 (-0.3674) time: 0.8655 data: 0.0003 max mem: 29859 [03:54:02.145970] Epoch: [236] [380/850] eta: 0:06:50 lr: 0.002026 loss: 0.0183 (0.0210) loss_rec_all: 0.0545 (0.0571) loss_rec_sfr: 0.0627 (0.0806) loss_cl: -0.3669 (-0.3674) time: 0.8647 data: 0.0003 max mem: 29859 [03:54:19.423111] Epoch: [236] [400/850] eta: 0:06:32 lr: 0.002026 loss: 0.0179 (0.0209) loss_rec_all: 0.0542 (0.0570) loss_rec_sfr: 0.0607 (0.0805) loss_cl: -0.3668 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [03:54:36.705052] Epoch: [236] [420/850] eta: 0:06:15 lr: 0.002025 loss: 0.0182 (0.0208) loss_rec_all: 0.0546 (0.0570) loss_rec_sfr: 0.0605 (0.0804) loss_cl: -0.3671 (-0.3673) time: 0.8639 data: 0.0004 max mem: 29859 [03:54:54.070383] Epoch: [236] [440/850] eta: 0:05:57 lr: 0.002025 loss: 0.0176 (0.0207) loss_rec_all: 0.0539 (0.0569) loss_rec_sfr: 0.0557 (0.0798) loss_cl: -0.3669 (-0.3673) time: 0.8682 data: 0.0003 max mem: 29859 [03:55:11.311645] Epoch: [236] [460/850] eta: 0:05:40 lr: 0.002025 loss: 0.0194 (0.0207) loss_rec_all: 0.0555 (0.0568) loss_rec_sfr: 0.0802 (0.0798) loss_cl: -0.3669 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [03:55:28.644797] Epoch: [236] [480/850] eta: 0:05:22 lr: 0.002025 loss: 0.0187 (0.0206) loss_rec_all: 0.0549 (0.0568) loss_rec_sfr: 0.0612 (0.0797) loss_cl: -0.3673 (-0.3673) time: 0.8666 data: 0.0003 max mem: 29859 [03:55:45.980024] Epoch: [236] [500/850] eta: 0:05:05 lr: 0.002025 loss: 0.0179 (0.0205) loss_rec_all: 0.0543 (0.0567) loss_rec_sfr: 0.0577 (0.0795) loss_cl: -0.3676 (-0.3673) time: 0.8667 data: 0.0004 max mem: 29859 [03:56:03.267810] Epoch: [236] [520/850] eta: 0:04:47 lr: 0.002025 loss: 0.0194 (0.0205) loss_rec_all: 0.0559 (0.0567) loss_rec_sfr: 0.0609 (0.0793) loss_cl: -0.3682 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [03:56:20.517509] Epoch: [236] [540/850] eta: 0:04:30 lr: 0.002025 loss: 0.0184 (0.0204) loss_rec_all: 0.0549 (0.0566) loss_rec_sfr: 0.0624 (0.0790) loss_cl: -0.3683 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [03:56:37.857889] Epoch: [236] [560/850] eta: 0:04:12 lr: 0.002025 loss: 0.0180 (0.0204) loss_rec_all: 0.0543 (0.0565) loss_rec_sfr: 0.0561 (0.0786) loss_cl: -0.3677 (-0.3674) time: 0.8670 data: 0.0004 max mem: 29859 [03:56:55.092802] Epoch: [236] [580/850] eta: 0:03:55 lr: 0.002025 loss: 0.0198 (0.0204) loss_rec_all: 0.0560 (0.0566) loss_rec_sfr: 0.0618 (0.0785) loss_cl: -0.3672 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [03:57:12.426429] Epoch: [236] [600/850] eta: 0:03:37 lr: 0.002025 loss: 0.0194 (0.0204) loss_rec_all: 0.0558 (0.0565) loss_rec_sfr: 0.0626 (0.0784) loss_cl: -0.3675 (-0.3674) time: 0.8666 data: 0.0003 max mem: 29859 [03:57:29.723621] Epoch: [236] [620/850] eta: 0:03:20 lr: 0.002025 loss: 0.0198 (0.0203) loss_rec_all: 0.0559 (0.0565) loss_rec_sfr: 0.0825 (0.0788) loss_cl: -0.3679 (-0.3674) time: 0.8648 data: 0.0003 max mem: 29859 [03:57:47.015475] Epoch: [236] [640/850] eta: 0:03:02 lr: 0.002025 loss: 0.0193 (0.0203) loss_rec_all: 0.0555 (0.0565) loss_rec_sfr: 0.0636 (0.0787) loss_cl: -0.3675 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [03:58:04.285521] Epoch: [236] [660/850] eta: 0:02:45 lr: 0.002024 loss: 0.0195 (0.0204) loss_rec_all: 0.0558 (0.0565) loss_rec_sfr: 0.0644 (0.0789) loss_cl: -0.3666 (-0.3674) time: 0.8634 data: 0.0003 max mem: 29859 [03:58:21.691192] Epoch: [236] [680/850] eta: 0:02:27 lr: 0.002024 loss: 0.0195 (0.0203) loss_rec_all: 0.0555 (0.0565) loss_rec_sfr: 0.0806 (0.0789) loss_cl: -0.3668 (-0.3673) time: 0.8702 data: 0.0004 max mem: 29859 [03:58:38.952090] Epoch: [236] [700/850] eta: 0:02:10 lr: 0.002024 loss: 0.0182 (0.0203) loss_rec_all: 0.0544 (0.0565) loss_rec_sfr: 0.0711 (0.0789) loss_cl: -0.3668 (-0.3673) time: 0.8630 data: 0.0003 max mem: 29859 [03:58:56.286561] Epoch: [236] [720/850] eta: 0:01:53 lr: 0.002024 loss: 0.0196 (0.0203) loss_rec_all: 0.0555 (0.0565) loss_rec_sfr: 0.0847 (0.0790) loss_cl: -0.3667 (-0.3673) time: 0.8667 data: 0.0003 max mem: 29859 [03:59:13.687809] Epoch: [236] [740/850] eta: 0:01:35 lr: 0.002024 loss: 0.0199 (0.0203) loss_rec_all: 0.0561 (0.0565) loss_rec_sfr: 0.0675 (0.0790) loss_cl: -0.3667 (-0.3673) time: 0.8699 data: 0.0004 max mem: 29859 [03:59:31.017536] Epoch: [236] [760/850] eta: 0:01:18 lr: 0.002024 loss: 0.0217 (0.0204) loss_rec_all: 0.0577 (0.0566) loss_rec_sfr: 0.0658 (0.0790) loss_cl: -0.3668 (-0.3673) time: 0.8664 data: 0.0003 max mem: 29859 [03:59:48.282977] Epoch: [236] [780/850] eta: 0:01:00 lr: 0.002024 loss: 0.0210 (0.0204) loss_rec_all: 0.0574 (0.0566) loss_rec_sfr: 0.0684 (0.0790) loss_cl: -0.3677 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [04:00:05.680441] Epoch: [236] [800/850] eta: 0:00:43 lr: 0.002024 loss: 0.0208 (0.0205) loss_rec_all: 0.0571 (0.0567) loss_rec_sfr: 0.0856 (0.0792) loss_cl: -0.3677 (-0.3673) time: 0.8698 data: 0.0004 max mem: 29859 [04:00:22.948471] Epoch: [236] [820/850] eta: 0:00:26 lr: 0.002024 loss: 0.0195 (0.0205) loss_rec_all: 0.0558 (0.0567) loss_rec_sfr: 0.0599 (0.0790) loss_cl: -0.3675 (-0.3673) time: 0.8633 data: 0.0003 max mem: 29859 [04:00:40.272213] Epoch: [236] [840/850] eta: 0:00:08 lr: 0.002024 loss: 0.0197 (0.0205) loss_rec_all: 0.0560 (0.0567) loss_rec_sfr: 0.0672 (0.0791) loss_cl: -0.3669 (-0.3673) time: 0.8661 data: 0.0009 max mem: 29859 [04:00:48.052917] Epoch: [236] [849/850] eta: 0:00:00 lr: 0.002024 loss: 0.0205 (0.0205) loss_rec_all: 0.0566 (0.0567) loss_rec_sfr: 0.0860 (0.0791) loss_cl: -0.3669 (-0.3673) time: 0.8657 data: 0.0008 max mem: 29859 [04:00:48.215702] Epoch: [236] Total time: 0:12:18 (0.8694 s / it) [04:00:48.220838] Averaged stats: lr: 0.002024 loss: 0.0205 (0.0205) loss_rec_all: 0.0566 (0.0566) loss_rec_sfr: 0.0860 (0.0788) loss_cl: -0.3669 (-0.3673) [04:00:48.237425] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [04:00:53.136313] Epoch: [237] [ 0/850] eta: 1:09:22 lr: 0.002024 loss: 0.0195 (0.0195) loss_rec_all: 0.0556 (0.0556) loss_rec_sfr: 0.0922 (0.0922) loss_cl: -0.3672 (-0.3672) time: 4.8975 data: 3.5681 max mem: 29859 [04:01:10.385848] Epoch: [237] [ 20/850] eta: 0:14:35 lr: 0.002024 loss: 0.0193 (0.0198) loss_rec_all: 0.0556 (0.0559) loss_rec_sfr: 0.0790 (0.0860) loss_cl: -0.3674 (-0.3673) time: 0.8624 data: 0.0003 max mem: 29859 [04:01:27.663609] Epoch: [237] [ 40/850] eta: 0:12:58 lr: 0.002023 loss: 0.0184 (0.0195) loss_rec_all: 0.0547 (0.0556) loss_rec_sfr: 0.0607 (0.0819) loss_cl: -0.3673 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [04:01:44.980290] Epoch: [237] [ 60/850] eta: 0:12:14 lr: 0.002023 loss: 0.0191 (0.0194) loss_rec_all: 0.0555 (0.0556) loss_rec_sfr: 0.0794 (0.0825) loss_cl: -0.3679 (-0.3674) time: 0.8657 data: 0.0004 max mem: 29859 [04:02:02.377408] Epoch: [237] [ 80/850] eta: 0:11:44 lr: 0.002023 loss: 0.0177 (0.0192) loss_rec_all: 0.0541 (0.0554) loss_rec_sfr: 0.0554 (0.0792) loss_cl: -0.3680 (-0.3676) time: 0.8698 data: 0.0004 max mem: 29859 [04:02:19.652033] Epoch: [237] [100/850] eta: 0:11:18 lr: 0.002023 loss: 0.0189 (0.0191) loss_rec_all: 0.0552 (0.0553) loss_rec_sfr: 0.0651 (0.0794) loss_cl: -0.3678 (-0.3676) time: 0.8637 data: 0.0002 max mem: 29859 [04:02:36.990129] Epoch: [237] [120/850] eta: 0:10:56 lr: 0.002023 loss: 0.0182 (0.0192) loss_rec_all: 0.0544 (0.0554) loss_rec_sfr: 0.0564 (0.0787) loss_cl: -0.3669 (-0.3675) time: 0.8668 data: 0.0002 max mem: 29859 [04:02:54.323502] Epoch: [237] [140/850] eta: 0:10:34 lr: 0.002023 loss: 0.0187 (0.0192) loss_rec_all: 0.0547 (0.0554) loss_rec_sfr: 0.0605 (0.0784) loss_cl: -0.3669 (-0.3674) time: 0.8666 data: 0.0004 max mem: 29859 [04:03:11.682379] Epoch: [237] [160/850] eta: 0:10:14 lr: 0.002023 loss: 0.0190 (0.0191) loss_rec_all: 0.0552 (0.0553) loss_rec_sfr: 0.0634 (0.0783) loss_cl: -0.3669 (-0.3674) time: 0.8656 data: 0.0002 max mem: 29859 [04:03:28.951923] Epoch: [237] [180/850] eta: 0:09:54 lr: 0.002023 loss: 0.0197 (0.0193) loss_rec_all: 0.0555 (0.0554) loss_rec_sfr: 0.0839 (0.0796) loss_cl: -0.3666 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [04:03:46.323037] Epoch: [237] [200/850] eta: 0:09:35 lr: 0.002023 loss: 0.0202 (0.0194) loss_rec_all: 0.0564 (0.0555) loss_rec_sfr: 0.0851 (0.0807) loss_cl: -0.3673 (-0.3673) time: 0.8685 data: 0.0003 max mem: 29859 [04:04:03.600002] Epoch: [237] [220/850] eta: 0:09:16 lr: 0.002023 loss: 0.0184 (0.0193) loss_rec_all: 0.0545 (0.0555) loss_rec_sfr: 0.0590 (0.0804) loss_cl: -0.3684 (-0.3674) time: 0.8637 data: 0.0003 max mem: 29859 [04:04:20.938841] Epoch: [237] [240/850] eta: 0:08:58 lr: 0.002023 loss: 0.0183 (0.0193) loss_rec_all: 0.0547 (0.0555) loss_rec_sfr: 0.0819 (0.0803) loss_cl: -0.3683 (-0.3674) time: 0.8669 data: 0.0004 max mem: 29859 [04:04:38.324505] Epoch: [237] [260/850] eta: 0:08:39 lr: 0.002023 loss: 0.0189 (0.0194) loss_rec_all: 0.0550 (0.0556) loss_rec_sfr: 0.0842 (0.0807) loss_cl: -0.3677 (-0.3675) time: 0.8692 data: 0.0005 max mem: 29859 [04:04:55.621413] Epoch: [237] [280/850] eta: 0:08:21 lr: 0.002022 loss: 0.0199 (0.0195) loss_rec_all: 0.0561 (0.0557) loss_rec_sfr: 0.0797 (0.0807) loss_cl: -0.3671 (-0.3674) time: 0.8648 data: 0.0003 max mem: 29859 [04:05:12.870564] Epoch: [237] [300/850] eta: 0:08:03 lr: 0.002022 loss: 0.0192 (0.0195) loss_rec_all: 0.0554 (0.0557) loss_rec_sfr: 0.0632 (0.0801) loss_cl: -0.3666 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [04:05:30.249137] Epoch: [237] [320/850] eta: 0:07:45 lr: 0.002022 loss: 0.0194 (0.0196) loss_rec_all: 0.0553 (0.0557) loss_rec_sfr: 0.0832 (0.0803) loss_cl: -0.3664 (-0.3673) time: 0.8689 data: 0.0003 max mem: 29859 [04:05:47.503405] Epoch: [237] [340/850] eta: 0:07:27 lr: 0.002022 loss: 0.0193 (0.0196) loss_rec_all: 0.0555 (0.0558) loss_rec_sfr: 0.0654 (0.0801) loss_cl: -0.3670 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [04:06:04.821732] Epoch: [237] [360/850] eta: 0:07:09 lr: 0.002022 loss: 0.0194 (0.0196) loss_rec_all: 0.0558 (0.0558) loss_rec_sfr: 0.0584 (0.0796) loss_cl: -0.3677 (-0.3673) time: 0.8659 data: 0.0003 max mem: 29859 [04:06:22.201105] Epoch: [237] [380/850] eta: 0:06:51 lr: 0.002022 loss: 0.0198 (0.0197) loss_rec_all: 0.0560 (0.0559) loss_rec_sfr: 0.0806 (0.0801) loss_cl: -0.3680 (-0.3673) time: 0.8688 data: 0.0010 max mem: 29859 [04:06:39.526443] Epoch: [237] [400/850] eta: 0:06:34 lr: 0.002022 loss: 0.0178 (0.0196) loss_rec_all: 0.0541 (0.0558) loss_rec_sfr: 0.0574 (0.0798) loss_cl: -0.3679 (-0.3674) time: 0.8662 data: 0.0004 max mem: 29859 [04:06:56.789861] Epoch: [237] [420/850] eta: 0:06:16 lr: 0.002022 loss: 0.0179 (0.0196) loss_rec_all: 0.0543 (0.0558) loss_rec_sfr: 0.0545 (0.0795) loss_cl: -0.3673 (-0.3674) time: 0.8631 data: 0.0003 max mem: 29859 [04:07:14.158821] Epoch: [237] [440/850] eta: 0:05:58 lr: 0.002022 loss: 0.0179 (0.0196) loss_rec_all: 0.0543 (0.0558) loss_rec_sfr: 0.0600 (0.0793) loss_cl: -0.3669 (-0.3673) time: 0.8683 data: 0.0003 max mem: 29859 [04:07:31.485532] Epoch: [237] [460/850] eta: 0:05:41 lr: 0.002022 loss: 0.0188 (0.0196) loss_rec_all: 0.0550 (0.0558) loss_rec_sfr: 0.0614 (0.0793) loss_cl: -0.3665 (-0.3673) time: 0.8663 data: 0.0004 max mem: 29859 [04:07:48.780179] Epoch: [237] [480/850] eta: 0:05:23 lr: 0.002022 loss: 0.0194 (0.0196) loss_rec_all: 0.0557 (0.0558) loss_rec_sfr: 0.0671 (0.0792) loss_cl: -0.3667 (-0.3673) time: 0.8646 data: 0.0003 max mem: 29859 [04:08:06.065270] Epoch: [237] [500/850] eta: 0:05:05 lr: 0.002022 loss: 0.0189 (0.0196) loss_rec_all: 0.0552 (0.0558) loss_rec_sfr: 0.0746 (0.0793) loss_cl: -0.3677 (-0.3673) time: 0.8642 data: 0.0004 max mem: 29859 [04:08:23.468691] Epoch: [237] [520/850] eta: 0:04:48 lr: 0.002021 loss: 0.0191 (0.0196) loss_rec_all: 0.0553 (0.0558) loss_rec_sfr: 0.0572 (0.0793) loss_cl: -0.3675 (-0.3673) time: 0.8701 data: 0.0004 max mem: 29859 [04:08:40.717397] Epoch: [237] [540/850] eta: 0:04:30 lr: 0.002021 loss: 0.0185 (0.0196) loss_rec_all: 0.0548 (0.0558) loss_rec_sfr: 0.0629 (0.0790) loss_cl: -0.3676 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [04:08:58.062224] Epoch: [237] [560/850] eta: 0:04:13 lr: 0.002021 loss: 0.0214 (0.0197) loss_rec_all: 0.0572 (0.0558) loss_rec_sfr: 0.0828 (0.0792) loss_cl: -0.3671 (-0.3673) time: 0.8671 data: 0.0003 max mem: 29859 [04:09:15.442096] Epoch: [237] [580/850] eta: 0:03:55 lr: 0.002021 loss: 0.0201 (0.0197) loss_rec_all: 0.0564 (0.0559) loss_rec_sfr: 0.0831 (0.0794) loss_cl: -0.3673 (-0.3673) time: 0.8689 data: 0.0005 max mem: 29859 [04:09:32.743908] Epoch: [237] [600/850] eta: 0:03:38 lr: 0.002021 loss: 0.0205 (0.0198) loss_rec_all: 0.0568 (0.0559) loss_rec_sfr: 0.0812 (0.0795) loss_cl: -0.3675 (-0.3673) time: 0.8650 data: 0.0003 max mem: 29859 [04:09:50.004424] Epoch: [237] [620/850] eta: 0:03:20 lr: 0.002021 loss: 0.0192 (0.0198) loss_rec_all: 0.0553 (0.0560) loss_rec_sfr: 0.0638 (0.0794) loss_cl: -0.3678 (-0.3673) time: 0.8630 data: 0.0003 max mem: 29859 [04:10:07.406647] Epoch: [237] [640/850] eta: 0:03:03 lr: 0.002021 loss: 0.0192 (0.0198) loss_rec_all: 0.0553 (0.0559) loss_rec_sfr: 0.0623 (0.0793) loss_cl: -0.3684 (-0.3673) time: 0.8700 data: 0.0004 max mem: 29859 [04:10:24.697894] Epoch: [237] [660/850] eta: 0:02:45 lr: 0.002021 loss: 0.0196 (0.0198) loss_rec_all: 0.0559 (0.0560) loss_rec_sfr: 0.0835 (0.0794) loss_cl: -0.3679 (-0.3674) time: 0.8645 data: 0.0004 max mem: 29859 [04:10:41.989083] Epoch: [237] [680/850] eta: 0:02:28 lr: 0.002021 loss: 0.0216 (0.0198) loss_rec_all: 0.0576 (0.0560) loss_rec_sfr: 0.0849 (0.0796) loss_cl: -0.3680 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [04:10:59.271054] Epoch: [237] [700/850] eta: 0:02:10 lr: 0.002021 loss: 0.0222 (0.0199) loss_rec_all: 0.0581 (0.0561) loss_rec_sfr: 0.0828 (0.0797) loss_cl: -0.3676 (-0.3674) time: 0.8639 data: 0.0003 max mem: 29859 [04:11:16.629061] Epoch: [237] [720/850] eta: 0:01:53 lr: 0.002021 loss: 0.0210 (0.0200) loss_rec_all: 0.0571 (0.0562) loss_rec_sfr: 0.0856 (0.0800) loss_cl: -0.3666 (-0.3674) time: 0.8678 data: 0.0004 max mem: 29859 [04:11:33.879616] Epoch: [237] [740/850] eta: 0:01:35 lr: 0.002020 loss: 0.0210 (0.0200) loss_rec_all: 0.0570 (0.0562) loss_rec_sfr: 0.0820 (0.0800) loss_cl: -0.3665 (-0.3673) time: 0.8625 data: 0.0003 max mem: 29859 [04:11:51.215540] Epoch: [237] [760/850] eta: 0:01:18 lr: 0.002020 loss: 0.0214 (0.0201) loss_rec_all: 0.0572 (0.0562) loss_rec_sfr: 0.0829 (0.0803) loss_cl: -0.3664 (-0.3673) time: 0.8667 data: 0.0003 max mem: 29859 [04:12:08.546079] Epoch: [237] [780/850] eta: 0:01:00 lr: 0.002020 loss: 0.0217 (0.0201) loss_rec_all: 0.0576 (0.0563) loss_rec_sfr: 0.0783 (0.0805) loss_cl: -0.3672 (-0.3673) time: 0.8665 data: 0.0004 max mem: 29859 [04:12:25.844645] Epoch: [237] [800/850] eta: 0:00:43 lr: 0.002020 loss: 0.0186 (0.0201) loss_rec_all: 0.0550 (0.0563) loss_rec_sfr: 0.0571 (0.0804) loss_cl: -0.3678 (-0.3673) time: 0.8648 data: 0.0003 max mem: 29859 [04:12:43.119844] Epoch: [237] [820/850] eta: 0:00:26 lr: 0.002020 loss: 0.0195 (0.0201) loss_rec_all: 0.0559 (0.0563) loss_rec_sfr: 0.0671 (0.0804) loss_cl: -0.3679 (-0.3673) time: 0.8637 data: 0.0003 max mem: 29859 [04:13:00.512355] Epoch: [237] [840/850] eta: 0:00:08 lr: 0.002020 loss: 0.0196 (0.0201) loss_rec_all: 0.0559 (0.0563) loss_rec_sfr: 0.0863 (0.0806) loss_cl: -0.3678 (-0.3673) time: 0.8696 data: 0.0014 max mem: 29859 [04:13:08.270905] Epoch: [237] [849/850] eta: 0:00:00 lr: 0.002020 loss: 0.0192 (0.0201) loss_rec_all: 0.0552 (0.0563) loss_rec_sfr: 0.0835 (0.0804) loss_cl: -0.3676 (-0.3673) time: 0.8677 data: 0.0013 max mem: 29859 [04:13:08.462112] Epoch: [237] Total time: 0:12:20 (0.8709 s / it) [04:13:08.467172] Averaged stats: lr: 0.002020 loss: 0.0192 (0.0201) loss_rec_all: 0.0552 (0.0562) loss_rec_sfr: 0.0835 (0.0798) loss_cl: -0.3676 (-0.3673) [04:13:08.480883] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [04:13:13.455752] Epoch: [238] [ 0/850] eta: 1:10:27 lr: 0.002020 loss: 0.0142 (0.0142) loss_rec_all: 0.0506 (0.0506) loss_rec_sfr: 0.0463 (0.0463) loss_cl: -0.3669 (-0.3669) time: 4.9740 data: 3.6255 max mem: 29859 [04:13:30.675085] Epoch: [238] [ 20/850] eta: 0:14:37 lr: 0.002020 loss: 0.0179 (0.0183) loss_rec_all: 0.0540 (0.0546) loss_rec_sfr: 0.0621 (0.0718) loss_cl: -0.3672 (-0.3673) time: 0.8609 data: 0.0002 max mem: 29859 [04:13:48.001305] Epoch: [238] [ 40/850] eta: 0:13:00 lr: 0.002020 loss: 0.0195 (0.0191) loss_rec_all: 0.0557 (0.0553) loss_rec_sfr: 0.0866 (0.0795) loss_cl: -0.3671 (-0.3672) time: 0.8662 data: 0.0003 max mem: 29859 [04:14:05.310648] Epoch: [238] [ 60/850] eta: 0:12:15 lr: 0.002020 loss: 0.0211 (0.0208) loss_rec_all: 0.0573 (0.0569) loss_rec_sfr: 0.0632 (0.0794) loss_cl: -0.3675 (-0.3674) time: 0.8654 data: 0.0003 max mem: 29859 [04:14:22.598779] Epoch: [238] [ 80/850] eta: 0:11:44 lr: 0.002020 loss: 0.0215 (0.0211) loss_rec_all: 0.0577 (0.0573) loss_rec_sfr: 0.0631 (0.0787) loss_cl: -0.3675 (-0.3674) time: 0.8644 data: 0.0003 max mem: 29859 [04:14:39.880187] Epoch: [238] [100/850] eta: 0:11:18 lr: 0.002020 loss: 0.0203 (0.0210) loss_rec_all: 0.0564 (0.0572) loss_rec_sfr: 0.0639 (0.0780) loss_cl: -0.3679 (-0.3675) time: 0.8640 data: 0.0003 max mem: 29859 [04:14:57.225858] Epoch: [238] [120/850] eta: 0:10:56 lr: 0.002019 loss: 0.0203 (0.0210) loss_rec_all: 0.0566 (0.0572) loss_rec_sfr: 0.0851 (0.0795) loss_cl: -0.3679 (-0.3676) time: 0.8672 data: 0.0003 max mem: 29859 [04:15:14.483615] Epoch: [238] [140/850] eta: 0:10:34 lr: 0.002019 loss: 0.0193 (0.0209) loss_rec_all: 0.0558 (0.0571) loss_rec_sfr: 0.0647 (0.0795) loss_cl: -0.3677 (-0.3676) time: 0.8628 data: 0.0002 max mem: 29859 [04:15:31.793139] Epoch: [238] [160/850] eta: 0:10:14 lr: 0.002019 loss: 0.0190 (0.0208) loss_rec_all: 0.0551 (0.0570) loss_rec_sfr: 0.0657 (0.0799) loss_cl: -0.3667 (-0.3675) time: 0.8654 data: 0.0003 max mem: 29859 [04:15:49.114782] Epoch: [238] [180/850] eta: 0:09:54 lr: 0.002019 loss: 0.0193 (0.0208) loss_rec_all: 0.0552 (0.0570) loss_rec_sfr: 0.0820 (0.0802) loss_cl: -0.3669 (-0.3674) time: 0.8660 data: 0.0004 max mem: 29859 [04:16:06.422349] Epoch: [238] [200/850] eta: 0:09:35 lr: 0.002019 loss: 0.0184 (0.0206) loss_rec_all: 0.0547 (0.0568) loss_rec_sfr: 0.0619 (0.0801) loss_cl: -0.3667 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [04:16:23.700313] Epoch: [238] [220/850] eta: 0:09:16 lr: 0.002019 loss: 0.0186 (0.0205) loss_rec_all: 0.0546 (0.0566) loss_rec_sfr: 0.0812 (0.0800) loss_cl: -0.3670 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [04:16:41.086172] Epoch: [238] [240/850] eta: 0:08:58 lr: 0.002019 loss: 0.0175 (0.0203) loss_rec_all: 0.0537 (0.0565) loss_rec_sfr: 0.0628 (0.0794) loss_cl: -0.3672 (-0.3673) time: 0.8692 data: 0.0004 max mem: 29859 [04:16:58.365787] Epoch: [238] [260/850] eta: 0:08:39 lr: 0.002019 loss: 0.0184 (0.0202) loss_rec_all: 0.0547 (0.0564) loss_rec_sfr: 0.0783 (0.0794) loss_cl: -0.3672 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [04:17:15.669026] Epoch: [238] [280/850] eta: 0:08:21 lr: 0.002019 loss: 0.0173 (0.0201) loss_rec_all: 0.0538 (0.0563) loss_rec_sfr: 0.0546 (0.0786) loss_cl: -0.3671 (-0.3672) time: 0.8651 data: 0.0002 max mem: 29859 [04:17:33.010571] Epoch: [238] [300/850] eta: 0:08:03 lr: 0.002019 loss: 0.0188 (0.0201) loss_rec_all: 0.0547 (0.0563) loss_rec_sfr: 0.0803 (0.0787) loss_cl: -0.3673 (-0.3672) time: 0.8669 data: 0.0003 max mem: 29859 [04:17:50.357852] Epoch: [238] [320/850] eta: 0:07:45 lr: 0.002019 loss: 0.0196 (0.0201) loss_rec_all: 0.0556 (0.0562) loss_rec_sfr: 0.0940 (0.0795) loss_cl: -0.3676 (-0.3673) time: 0.8673 data: 0.0003 max mem: 29859 [04:18:07.621560] Epoch: [238] [340/850] eta: 0:07:27 lr: 0.002019 loss: 0.0194 (0.0201) loss_rec_all: 0.0558 (0.0563) loss_rec_sfr: 0.0793 (0.0792) loss_cl: -0.3678 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [04:18:25.010069] Epoch: [238] [360/850] eta: 0:07:09 lr: 0.002018 loss: 0.0191 (0.0200) loss_rec_all: 0.0553 (0.0562) loss_rec_sfr: 0.0564 (0.0789) loss_cl: -0.3668 (-0.3673) time: 0.8694 data: 0.0004 max mem: 29859 [04:18:42.359250] Epoch: [238] [380/850] eta: 0:06:51 lr: 0.002018 loss: 0.0193 (0.0200) loss_rec_all: 0.0556 (0.0562) loss_rec_sfr: 0.0785 (0.0790) loss_cl: -0.3675 (-0.3673) time: 0.8674 data: 0.0004 max mem: 29859 [04:18:59.673445] Epoch: [238] [400/850] eta: 0:06:34 lr: 0.002018 loss: 0.0226 (0.0202) loss_rec_all: 0.0586 (0.0563) loss_rec_sfr: 0.0799 (0.0797) loss_cl: -0.3678 (-0.3673) time: 0.8657 data: 0.0006 max mem: 29859 [04:19:16.961786] Epoch: [238] [420/850] eta: 0:06:16 lr: 0.002018 loss: 0.0219 (0.0203) loss_rec_all: 0.0583 (0.0564) loss_rec_sfr: 0.0840 (0.0802) loss_cl: -0.3676 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [04:19:34.372103] Epoch: [238] [440/850] eta: 0:05:58 lr: 0.002018 loss: 0.0219 (0.0204) loss_rec_all: 0.0579 (0.0566) loss_rec_sfr: 0.0851 (0.0805) loss_cl: -0.3674 (-0.3673) time: 0.8704 data: 0.0003 max mem: 29859 [04:19:51.647502] Epoch: [238] [460/850] eta: 0:05:41 lr: 0.002018 loss: 0.0200 (0.0204) loss_rec_all: 0.0564 (0.0566) loss_rec_sfr: 0.0659 (0.0804) loss_cl: -0.3677 (-0.3673) time: 0.8637 data: 0.0003 max mem: 29859 [04:20:08.956879] Epoch: [238] [480/850] eta: 0:05:23 lr: 0.002018 loss: 0.0212 (0.0205) loss_rec_all: 0.0574 (0.0566) loss_rec_sfr: 0.0772 (0.0805) loss_cl: -0.3676 (-0.3673) time: 0.8654 data: 0.0002 max mem: 29859 [04:20:26.311880] Epoch: [238] [500/850] eta: 0:05:05 lr: 0.002018 loss: 0.0187 (0.0204) loss_rec_all: 0.0550 (0.0566) loss_rec_sfr: 0.0573 (0.0803) loss_cl: -0.3676 (-0.3673) time: 0.8677 data: 0.0003 max mem: 29859 [04:20:43.638919] Epoch: [238] [520/850] eta: 0:04:48 lr: 0.002018 loss: 0.0183 (0.0203) loss_rec_all: 0.0546 (0.0565) loss_rec_sfr: 0.0609 (0.0801) loss_cl: -0.3673 (-0.3673) time: 0.8663 data: 0.0003 max mem: 29859 [04:21:00.905310] Epoch: [238] [540/850] eta: 0:04:30 lr: 0.002018 loss: 0.0174 (0.0203) loss_rec_all: 0.0537 (0.0564) loss_rec_sfr: 0.0629 (0.0800) loss_cl: -0.3670 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [04:21:18.278398] Epoch: [238] [560/850] eta: 0:04:13 lr: 0.002018 loss: 0.0184 (0.0202) loss_rec_all: 0.0547 (0.0564) loss_rec_sfr: 0.0593 (0.0798) loss_cl: -0.3664 (-0.3673) time: 0.8686 data: 0.0004 max mem: 29859 [04:21:35.591147] Epoch: [238] [580/850] eta: 0:03:55 lr: 0.002018 loss: 0.0194 (0.0202) loss_rec_all: 0.0552 (0.0564) loss_rec_sfr: 0.0764 (0.0799) loss_cl: -0.3672 (-0.3673) time: 0.8656 data: 0.0003 max mem: 29859 [04:21:52.898399] Epoch: [238] [600/850] eta: 0:03:38 lr: 0.002017 loss: 0.0177 (0.0201) loss_rec_all: 0.0541 (0.0563) loss_rec_sfr: 0.0563 (0.0795) loss_cl: -0.3676 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [04:22:10.195975] Epoch: [238] [620/850] eta: 0:03:20 lr: 0.002017 loss: 0.0190 (0.0201) loss_rec_all: 0.0552 (0.0563) loss_rec_sfr: 0.0655 (0.0794) loss_cl: -0.3677 (-0.3673) time: 0.8648 data: 0.0010 max mem: 29859 [04:22:27.618361] Epoch: [238] [640/850] eta: 0:03:03 lr: 0.002017 loss: 0.0186 (0.0201) loss_rec_all: 0.0547 (0.0563) loss_rec_sfr: 0.0583 (0.0793) loss_cl: -0.3680 (-0.3673) time: 0.8711 data: 0.0004 max mem: 29859 [04:22:44.923118] Epoch: [238] [660/850] eta: 0:02:45 lr: 0.002017 loss: 0.0188 (0.0201) loss_rec_all: 0.0549 (0.0563) loss_rec_sfr: 0.0792 (0.0793) loss_cl: -0.3674 (-0.3673) time: 0.8652 data: 0.0003 max mem: 29859 [04:23:02.226232] Epoch: [238] [680/850] eta: 0:02:28 lr: 0.002017 loss: 0.0184 (0.0201) loss_rec_all: 0.0547 (0.0562) loss_rec_sfr: 0.0591 (0.0790) loss_cl: -0.3669 (-0.3673) time: 0.8651 data: 0.0002 max mem: 29859 [04:23:19.577045] Epoch: [238] [700/850] eta: 0:02:10 lr: 0.002017 loss: 0.0208 (0.0201) loss_rec_all: 0.0567 (0.0563) loss_rec_sfr: 0.0899 (0.0793) loss_cl: -0.3671 (-0.3673) time: 0.8673 data: 0.0003 max mem: 29859 [04:23:36.908216] Epoch: [238] [720/850] eta: 0:01:53 lr: 0.002017 loss: 0.0194 (0.0201) loss_rec_all: 0.0558 (0.0563) loss_rec_sfr: 0.0611 (0.0793) loss_cl: -0.3673 (-0.3673) time: 0.8665 data: 0.0003 max mem: 29859 [04:23:54.162393] Epoch: [238] [740/850] eta: 0:01:35 lr: 0.002017 loss: 0.0193 (0.0201) loss_rec_all: 0.0556 (0.0563) loss_rec_sfr: 0.0648 (0.0792) loss_cl: -0.3676 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [04:24:11.513688] Epoch: [238] [760/850] eta: 0:01:18 lr: 0.002017 loss: 0.0199 (0.0201) loss_rec_all: 0.0562 (0.0563) loss_rec_sfr: 0.0844 (0.0795) loss_cl: -0.3673 (-0.3673) time: 0.8675 data: 0.0003 max mem: 29859 [04:24:28.814896] Epoch: [238] [780/850] eta: 0:01:00 lr: 0.002017 loss: 0.0195 (0.0201) loss_rec_all: 0.0556 (0.0563) loss_rec_sfr: 0.0817 (0.0796) loss_cl: -0.3676 (-0.3673) time: 0.8650 data: 0.0003 max mem: 29859 [04:24:46.110819] Epoch: [238] [800/850] eta: 0:00:43 lr: 0.002017 loss: 0.0187 (0.0201) loss_rec_all: 0.0548 (0.0562) loss_rec_sfr: 0.0642 (0.0796) loss_cl: -0.3678 (-0.3673) time: 0.8647 data: 0.0003 max mem: 29859 [04:25:03.386042] Epoch: [238] [820/850] eta: 0:00:26 lr: 0.002017 loss: 0.0189 (0.0201) loss_rec_all: 0.0552 (0.0562) loss_rec_sfr: 0.0852 (0.0797) loss_cl: -0.3683 (-0.3673) time: 0.8637 data: 0.0003 max mem: 29859 [04:25:20.814345] Epoch: [238] [840/850] eta: 0:00:08 lr: 0.002016 loss: 0.0190 (0.0201) loss_rec_all: 0.0552 (0.0562) loss_rec_sfr: 0.0766 (0.0797) loss_cl: -0.3674 (-0.3673) time: 0.8713 data: 0.0033 max mem: 29859 [04:25:28.576986] Epoch: [238] [849/850] eta: 0:00:00 lr: 0.002016 loss: 0.0196 (0.0201) loss_rec_all: 0.0557 (0.0562) loss_rec_sfr: 0.0834 (0.0796) loss_cl: -0.3674 (-0.3673) time: 0.8693 data: 0.0032 max mem: 29859 [04:25:28.698578] Epoch: [238] Total time: 0:12:20 (0.8708 s / it) [04:25:28.708291] Averaged stats: lr: 0.002016 loss: 0.0196 (0.0200) loss_rec_all: 0.0557 (0.0562) loss_rec_sfr: 0.0834 (0.0798) loss_cl: -0.3674 (-0.3673) [04:25:28.720031] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [04:25:33.123828] Epoch: [239] [ 0/850] eta: 1:02:22 lr: 0.002016 loss: 0.0164 (0.0164) loss_rec_all: 0.0527 (0.0527) loss_rec_sfr: 0.0500 (0.0500) loss_cl: -0.3669 (-0.3669) time: 4.4029 data: 3.5443 max mem: 29859 [04:25:50.336393] Epoch: [239] [ 20/850] eta: 0:14:14 lr: 0.002016 loss: 0.0191 (0.0191) loss_rec_all: 0.0552 (0.0552) loss_rec_sfr: 0.0847 (0.0827) loss_cl: -0.3672 (-0.3671) time: 0.8605 data: 0.0002 max mem: 29859 [04:26:07.668224] Epoch: [239] [ 40/850] eta: 0:12:49 lr: 0.002016 loss: 0.0189 (0.0191) loss_rec_all: 0.0549 (0.0552) loss_rec_sfr: 0.0618 (0.0770) loss_cl: -0.3669 (-0.3670) time: 0.8665 data: 0.0003 max mem: 29859 [04:26:24.965833] Epoch: [239] [ 60/850] eta: 0:12:08 lr: 0.002016 loss: 0.0185 (0.0190) loss_rec_all: 0.0548 (0.0552) loss_rec_sfr: 0.0550 (0.0738) loss_cl: -0.3678 (-0.3672) time: 0.8648 data: 0.0003 max mem: 29859 [04:26:42.261740] Epoch: [239] [ 80/850] eta: 0:11:39 lr: 0.002016 loss: 0.0183 (0.0190) loss_rec_all: 0.0546 (0.0553) loss_rec_sfr: 0.0579 (0.0729) loss_cl: -0.3681 (-0.3674) time: 0.8647 data: 0.0002 max mem: 29859 [04:26:59.552656] Epoch: [239] [100/850] eta: 0:11:14 lr: 0.002016 loss: 0.0189 (0.0191) loss_rec_all: 0.0551 (0.0553) loss_rec_sfr: 0.0589 (0.0729) loss_cl: -0.3675 (-0.3674) time: 0.8645 data: 0.0003 max mem: 29859 [04:27:16.922019] Epoch: [239] [120/850] eta: 0:10:52 lr: 0.002016 loss: 0.0204 (0.0194) loss_rec_all: 0.0566 (0.0556) loss_rec_sfr: 0.0707 (0.0741) loss_cl: -0.3673 (-0.3673) time: 0.8684 data: 0.0003 max mem: 29859 [04:27:34.193861] Epoch: [239] [140/850] eta: 0:10:31 lr: 0.002016 loss: 0.0208 (0.0197) loss_rec_all: 0.0568 (0.0558) loss_rec_sfr: 0.0925 (0.0772) loss_cl: -0.3670 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [04:27:51.555271] Epoch: [239] [160/850] eta: 0:10:12 lr: 0.002016 loss: 0.0180 (0.0195) loss_rec_all: 0.0543 (0.0557) loss_rec_sfr: 0.0612 (0.0766) loss_cl: -0.3673 (-0.3673) time: 0.8680 data: 0.0003 max mem: 29859 [04:28:08.876174] Epoch: [239] [180/850] eta: 0:09:52 lr: 0.002016 loss: 0.0184 (0.0195) loss_rec_all: 0.0547 (0.0556) loss_rec_sfr: 0.0640 (0.0767) loss_cl: -0.3671 (-0.3672) time: 0.8660 data: 0.0003 max mem: 29859 [04:28:26.183484] Epoch: [239] [200/850] eta: 0:09:33 lr: 0.002016 loss: 0.0189 (0.0195) loss_rec_all: 0.0548 (0.0557) loss_rec_sfr: 0.0783 (0.0765) loss_cl: -0.3668 (-0.3672) time: 0.8653 data: 0.0003 max mem: 29859 [04:28:43.460352] Epoch: [239] [220/850] eta: 0:09:15 lr: 0.002015 loss: 0.0186 (0.0195) loss_rec_all: 0.0550 (0.0557) loss_rec_sfr: 0.0778 (0.0768) loss_cl: -0.3670 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [04:29:00.889118] Epoch: [239] [240/850] eta: 0:08:56 lr: 0.002015 loss: 0.0188 (0.0195) loss_rec_all: 0.0551 (0.0557) loss_rec_sfr: 0.0774 (0.0766) loss_cl: -0.3671 (-0.3672) time: 0.8714 data: 0.0003 max mem: 29859 [04:29:18.164312] Epoch: [239] [260/850] eta: 0:08:38 lr: 0.002015 loss: 0.0185 (0.0195) loss_rec_all: 0.0549 (0.0557) loss_rec_sfr: 0.0645 (0.0771) loss_cl: -0.3677 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [04:29:35.481681] Epoch: [239] [280/850] eta: 0:08:20 lr: 0.002015 loss: 0.0200 (0.0196) loss_rec_all: 0.0562 (0.0558) loss_rec_sfr: 0.0825 (0.0773) loss_cl: -0.3679 (-0.3672) time: 0.8658 data: 0.0002 max mem: 29859 [04:29:52.827758] Epoch: [239] [300/850] eta: 0:08:02 lr: 0.002015 loss: 0.0193 (0.0196) loss_rec_all: 0.0555 (0.0558) loss_rec_sfr: 0.0636 (0.0776) loss_cl: -0.3674 (-0.3672) time: 0.8672 data: 0.0003 max mem: 29859 [04:30:10.176401] Epoch: [239] [320/850] eta: 0:07:44 lr: 0.002015 loss: 0.0194 (0.0197) loss_rec_all: 0.0556 (0.0559) loss_rec_sfr: 0.0705 (0.0777) loss_cl: -0.3669 (-0.3672) time: 0.8674 data: 0.0003 max mem: 29859 [04:30:27.442496] Epoch: [239] [340/850] eta: 0:07:26 lr: 0.002015 loss: 0.0188 (0.0197) loss_rec_all: 0.0551 (0.0559) loss_rec_sfr: 0.0563 (0.0772) loss_cl: -0.3674 (-0.3672) time: 0.8633 data: 0.0003 max mem: 29859 [04:30:44.820779] Epoch: [239] [360/850] eta: 0:07:09 lr: 0.002015 loss: 0.0195 (0.0197) loss_rec_all: 0.0556 (0.0559) loss_rec_sfr: 0.0783 (0.0775) loss_cl: -0.3676 (-0.3673) time: 0.8688 data: 0.0003 max mem: 29859 [04:31:02.101955] Epoch: [239] [380/850] eta: 0:06:51 lr: 0.002015 loss: 0.0205 (0.0197) loss_rec_all: 0.0566 (0.0559) loss_rec_sfr: 0.0686 (0.0773) loss_cl: -0.3681 (-0.3673) time: 0.8640 data: 0.0003 max mem: 29859 [04:31:19.425492] Epoch: [239] [400/850] eta: 0:06:33 lr: 0.002015 loss: 0.0204 (0.0198) loss_rec_all: 0.0564 (0.0560) loss_rec_sfr: 0.0848 (0.0777) loss_cl: -0.3680 (-0.3673) time: 0.8661 data: 0.0002 max mem: 29859 [04:31:36.710742] Epoch: [239] [420/850] eta: 0:06:15 lr: 0.002015 loss: 0.0191 (0.0198) loss_rec_all: 0.0552 (0.0560) loss_rec_sfr: 0.0685 (0.0777) loss_cl: -0.3675 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [04:31:54.106441] Epoch: [239] [440/850] eta: 0:05:58 lr: 0.002014 loss: 0.0195 (0.0198) loss_rec_all: 0.0557 (0.0560) loss_rec_sfr: 0.0754 (0.0779) loss_cl: -0.3675 (-0.3673) time: 0.8697 data: 0.0003 max mem: 29859 [04:32:11.384037] Epoch: [239] [460/850] eta: 0:05:40 lr: 0.002014 loss: 0.0183 (0.0198) loss_rec_all: 0.0542 (0.0559) loss_rec_sfr: 0.0641 (0.0779) loss_cl: -0.3668 (-0.3673) time: 0.8638 data: 0.0003 max mem: 29859 [04:32:28.680362] Epoch: [239] [480/850] eta: 0:05:23 lr: 0.002014 loss: 0.0194 (0.0198) loss_rec_all: 0.0556 (0.0559) loss_rec_sfr: 0.0765 (0.0781) loss_cl: -0.3667 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [04:32:46.013076] Epoch: [239] [500/850] eta: 0:05:05 lr: 0.002014 loss: 0.0185 (0.0198) loss_rec_all: 0.0548 (0.0559) loss_rec_sfr: 0.0594 (0.0779) loss_cl: -0.3677 (-0.3673) time: 0.8666 data: 0.0003 max mem: 29859 [04:33:03.349177] Epoch: [239] [520/850] eta: 0:04:47 lr: 0.002014 loss: 0.0193 (0.0197) loss_rec_all: 0.0554 (0.0559) loss_rec_sfr: 0.0802 (0.0781) loss_cl: -0.3675 (-0.3673) time: 0.8668 data: 0.0002 max mem: 29859 [04:33:20.599293] Epoch: [239] [540/850] eta: 0:04:30 lr: 0.002014 loss: 0.0208 (0.0198) loss_rec_all: 0.0566 (0.0560) loss_rec_sfr: 0.0887 (0.0784) loss_cl: -0.3669 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [04:33:37.951259] Epoch: [239] [560/850] eta: 0:04:12 lr: 0.002014 loss: 0.0198 (0.0198) loss_rec_all: 0.0560 (0.0560) loss_rec_sfr: 0.0940 (0.0787) loss_cl: -0.3667 (-0.3673) time: 0.8675 data: 0.0003 max mem: 29859 [04:33:55.267019] Epoch: [239] [580/850] eta: 0:03:55 lr: 0.002014 loss: 0.0194 (0.0198) loss_rec_all: 0.0555 (0.0560) loss_rec_sfr: 0.0770 (0.0788) loss_cl: -0.3679 (-0.3673) time: 0.8657 data: 0.0004 max mem: 29859 [04:34:12.556079] Epoch: [239] [600/850] eta: 0:03:37 lr: 0.002014 loss: 0.0194 (0.0198) loss_rec_all: 0.0555 (0.0560) loss_rec_sfr: 0.0677 (0.0789) loss_cl: -0.3674 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [04:34:29.821316] Epoch: [239] [620/850] eta: 0:03:20 lr: 0.002014 loss: 0.0199 (0.0198) loss_rec_all: 0.0559 (0.0560) loss_rec_sfr: 0.0792 (0.0790) loss_cl: -0.3672 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [04:34:47.198278] Epoch: [239] [640/850] eta: 0:03:02 lr: 0.002014 loss: 0.0184 (0.0198) loss_rec_all: 0.0548 (0.0560) loss_rec_sfr: 0.0607 (0.0789) loss_cl: -0.3672 (-0.3673) time: 0.8688 data: 0.0003 max mem: 29859 [04:35:04.467856] Epoch: [239] [660/850] eta: 0:02:45 lr: 0.002014 loss: 0.0183 (0.0198) loss_rec_all: 0.0546 (0.0560) loss_rec_sfr: 0.0650 (0.0788) loss_cl: -0.3672 (-0.3673) time: 0.8634 data: 0.0003 max mem: 29859 [04:35:21.762387] Epoch: [239] [680/850] eta: 0:02:28 lr: 0.002013 loss: 0.0190 (0.0198) loss_rec_all: 0.0552 (0.0560) loss_rec_sfr: 0.0784 (0.0789) loss_cl: -0.3667 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [04:35:39.096365] Epoch: [239] [700/850] eta: 0:02:10 lr: 0.002013 loss: 0.0189 (0.0198) loss_rec_all: 0.0552 (0.0560) loss_rec_sfr: 0.0800 (0.0790) loss_cl: -0.3671 (-0.3673) time: 0.8666 data: 0.0004 max mem: 29859 [04:35:56.418089] Epoch: [239] [720/850] eta: 0:01:53 lr: 0.002013 loss: 0.0191 (0.0198) loss_rec_all: 0.0554 (0.0560) loss_rec_sfr: 0.0594 (0.0788) loss_cl: -0.3678 (-0.3673) time: 0.8660 data: 0.0002 max mem: 29859 [04:36:13.665307] Epoch: [239] [740/850] eta: 0:01:35 lr: 0.002013 loss: 0.0215 (0.0198) loss_rec_all: 0.0575 (0.0560) loss_rec_sfr: 0.0895 (0.0792) loss_cl: -0.3680 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [04:36:31.029582] Epoch: [239] [760/850] eta: 0:01:18 lr: 0.002013 loss: 0.0211 (0.0199) loss_rec_all: 0.0572 (0.0561) loss_rec_sfr: 0.0802 (0.0794) loss_cl: -0.3683 (-0.3673) time: 0.8682 data: 0.0003 max mem: 29859 [04:36:48.333876] Epoch: [239] [780/850] eta: 0:01:00 lr: 0.002013 loss: 0.0200 (0.0199) loss_rec_all: 0.0561 (0.0561) loss_rec_sfr: 0.0836 (0.0795) loss_cl: -0.3675 (-0.3673) time: 0.8652 data: 0.0004 max mem: 29859 [04:37:05.650994] Epoch: [239] [800/850] eta: 0:00:43 lr: 0.002013 loss: 0.0196 (0.0199) loss_rec_all: 0.0557 (0.0561) loss_rec_sfr: 0.0901 (0.0797) loss_cl: -0.3669 (-0.3673) time: 0.8658 data: 0.0002 max mem: 29859 [04:37:22.934185] Epoch: [239] [820/850] eta: 0:00:26 lr: 0.002013 loss: 0.0185 (0.0199) loss_rec_all: 0.0548 (0.0561) loss_rec_sfr: 0.0614 (0.0796) loss_cl: -0.3662 (-0.3673) time: 0.8641 data: 0.0003 max mem: 29859 [04:37:40.295390] Epoch: [239] [840/850] eta: 0:00:08 lr: 0.002013 loss: 0.0188 (0.0199) loss_rec_all: 0.0549 (0.0561) loss_rec_sfr: 0.0604 (0.0796) loss_cl: -0.3669 (-0.3673) time: 0.8680 data: 0.0008 max mem: 29859 [04:37:48.063678] Epoch: [239] [849/850] eta: 0:00:00 lr: 0.002013 loss: 0.0191 (0.0199) loss_rec_all: 0.0553 (0.0561) loss_rec_sfr: 0.0818 (0.0797) loss_cl: -0.3670 (-0.3673) time: 0.8661 data: 0.0007 max mem: 29859 [04:37:48.195348] Epoch: [239] Total time: 0:12:19 (0.8700 s / it) [04:37:48.197431] Averaged stats: lr: 0.002013 loss: 0.0191 (0.0199) loss_rec_all: 0.0553 (0.0561) loss_rec_sfr: 0.0818 (0.0794) loss_cl: -0.3670 (-0.3673) [04:37:48.208163] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [04:37:52.709175] Epoch: [240] [ 0/850] eta: 1:03:45 lr: 0.002013 loss: 0.0180 (0.0180) loss_rec_all: 0.0542 (0.0542) loss_rec_sfr: 0.0577 (0.0577) loss_cl: -0.3662 (-0.3662) time: 4.5000 data: 3.3215 max mem: 29859 [04:38:09.929226] Epoch: [240] [ 20/850] eta: 0:14:18 lr: 0.002013 loss: 0.0186 (0.0194) loss_rec_all: 0.0547 (0.0555) loss_rec_sfr: 0.0816 (0.0819) loss_cl: -0.3675 (-0.3674) time: 0.8610 data: 0.0003 max mem: 29859 [04:38:27.323751] Epoch: [240] [ 40/850] eta: 0:12:52 lr: 0.002013 loss: 0.0189 (0.0194) loss_rec_all: 0.0553 (0.0556) loss_rec_sfr: 0.0572 (0.0788) loss_cl: -0.3677 (-0.3676) time: 0.8696 data: 0.0004 max mem: 29859 [04:38:44.618748] Epoch: [240] [ 60/850] eta: 0:12:10 lr: 0.002012 loss: 0.0188 (0.0192) loss_rec_all: 0.0548 (0.0554) loss_rec_sfr: 0.0610 (0.0770) loss_cl: -0.3673 (-0.3675) time: 0.8647 data: 0.0003 max mem: 29859 [04:39:01.902894] Epoch: [240] [ 80/850] eta: 0:11:40 lr: 0.002012 loss: 0.0190 (0.0193) loss_rec_all: 0.0551 (0.0555) loss_rec_sfr: 0.0776 (0.0786) loss_cl: -0.3673 (-0.3675) time: 0.8642 data: 0.0002 max mem: 29859 [04:39:19.234180] Epoch: [240] [100/850] eta: 0:11:15 lr: 0.002012 loss: 0.0193 (0.0194) loss_rec_all: 0.0552 (0.0556) loss_rec_sfr: 0.0839 (0.0803) loss_cl: -0.3668 (-0.3673) time: 0.8665 data: 0.0004 max mem: 29859 [04:39:36.595917] Epoch: [240] [120/850] eta: 0:10:53 lr: 0.002012 loss: 0.0183 (0.0193) loss_rec_all: 0.0547 (0.0555) loss_rec_sfr: 0.0611 (0.0796) loss_cl: -0.3671 (-0.3673) time: 0.8680 data: 0.0004 max mem: 29859 [04:39:53.917673] Epoch: [240] [140/850] eta: 0:10:32 lr: 0.002012 loss: 0.0184 (0.0193) loss_rec_all: 0.0547 (0.0555) loss_rec_sfr: 0.0680 (0.0796) loss_cl: -0.3675 (-0.3673) time: 0.8660 data: 0.0004 max mem: 29859 [04:40:11.301516] Epoch: [240] [160/850] eta: 0:10:13 lr: 0.002012 loss: 0.0195 (0.0195) loss_rec_all: 0.0556 (0.0557) loss_rec_sfr: 0.0800 (0.0794) loss_cl: -0.3674 (-0.3673) time: 0.8691 data: 0.0002 max mem: 29859 [04:40:28.559375] Epoch: [240] [180/850] eta: 0:09:53 lr: 0.002012 loss: 0.0182 (0.0194) loss_rec_all: 0.0546 (0.0556) loss_rec_sfr: 0.0594 (0.0783) loss_cl: -0.3678 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [04:40:45.969161] Epoch: [240] [200/850] eta: 0:09:34 lr: 0.002012 loss: 0.0202 (0.0195) loss_rec_all: 0.0562 (0.0557) loss_rec_sfr: 0.0807 (0.0786) loss_cl: -0.3685 (-0.3674) time: 0.8704 data: 0.0004 max mem: 29859 [04:41:03.249881] Epoch: [240] [220/850] eta: 0:09:15 lr: 0.002012 loss: 0.0203 (0.0196) loss_rec_all: 0.0566 (0.0558) loss_rec_sfr: 0.0646 (0.0788) loss_cl: -0.3676 (-0.3675) time: 0.8640 data: 0.0003 max mem: 29859 [04:41:20.544666] Epoch: [240] [240/850] eta: 0:08:57 lr: 0.002012 loss: 0.0188 (0.0197) loss_rec_all: 0.0551 (0.0559) loss_rec_sfr: 0.0614 (0.0781) loss_cl: -0.3668 (-0.3674) time: 0.8647 data: 0.0002 max mem: 29859 [04:41:37.848132] Epoch: [240] [260/850] eta: 0:08:39 lr: 0.002012 loss: 0.0197 (0.0197) loss_rec_all: 0.0560 (0.0559) loss_rec_sfr: 0.0654 (0.0786) loss_cl: -0.3670 (-0.3674) time: 0.8651 data: 0.0003 max mem: 29859 [04:41:55.215497] Epoch: [240] [280/850] eta: 0:08:21 lr: 0.002012 loss: 0.0181 (0.0197) loss_rec_all: 0.0546 (0.0559) loss_rec_sfr: 0.0566 (0.0776) loss_cl: -0.3673 (-0.3674) time: 0.8683 data: 0.0004 max mem: 29859 [04:42:12.460360] Epoch: [240] [300/850] eta: 0:08:02 lr: 0.002011 loss: 0.0186 (0.0197) loss_rec_all: 0.0551 (0.0559) loss_rec_sfr: 0.0608 (0.0775) loss_cl: -0.3680 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [04:42:29.779297] Epoch: [240] [320/850] eta: 0:07:44 lr: 0.002011 loss: 0.0184 (0.0197) loss_rec_all: 0.0546 (0.0559) loss_rec_sfr: 0.0627 (0.0775) loss_cl: -0.3685 (-0.3675) time: 0.8659 data: 0.0002 max mem: 29859 [04:42:47.106003] Epoch: [240] [340/850] eta: 0:07:26 lr: 0.002011 loss: 0.0190 (0.0196) loss_rec_all: 0.0554 (0.0558) loss_rec_sfr: 0.0579 (0.0774) loss_cl: -0.3676 (-0.3675) time: 0.8663 data: 0.0003 max mem: 29859 [04:43:04.425231] Epoch: [240] [360/850] eta: 0:07:09 lr: 0.002011 loss: 0.0187 (0.0196) loss_rec_all: 0.0548 (0.0558) loss_rec_sfr: 0.0781 (0.0774) loss_cl: -0.3667 (-0.3674) time: 0.8659 data: 0.0003 max mem: 29859 [04:43:21.680371] Epoch: [240] [380/850] eta: 0:06:51 lr: 0.002011 loss: 0.0186 (0.0196) loss_rec_all: 0.0547 (0.0558) loss_rec_sfr: 0.0650 (0.0772) loss_cl: -0.3662 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [04:43:39.092017] Epoch: [240] [400/850] eta: 0:06:33 lr: 0.002011 loss: 0.0200 (0.0196) loss_rec_all: 0.0559 (0.0558) loss_rec_sfr: 0.0801 (0.0774) loss_cl: -0.3659 (-0.3673) time: 0.8705 data: 0.0004 max mem: 29859 [04:43:56.374215] Epoch: [240] [420/850] eta: 0:06:16 lr: 0.002011 loss: 0.0178 (0.0196) loss_rec_all: 0.0542 (0.0558) loss_rec_sfr: 0.0603 (0.0771) loss_cl: -0.3669 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [04:44:13.696338] Epoch: [240] [440/850] eta: 0:05:58 lr: 0.002011 loss: 0.0179 (0.0195) loss_rec_all: 0.0543 (0.0557) loss_rec_sfr: 0.0570 (0.0767) loss_cl: -0.3680 (-0.3673) time: 0.8661 data: 0.0002 max mem: 29859 [04:44:31.030360] Epoch: [240] [460/850] eta: 0:05:40 lr: 0.002011 loss: 0.0200 (0.0196) loss_rec_all: 0.0561 (0.0558) loss_rec_sfr: 0.0825 (0.0768) loss_cl: -0.3682 (-0.3673) time: 0.8666 data: 0.0003 max mem: 29859 [04:44:48.404315] Epoch: [240] [480/850] eta: 0:05:23 lr: 0.002011 loss: 0.0218 (0.0197) loss_rec_all: 0.0583 (0.0559) loss_rec_sfr: 0.0664 (0.0772) loss_cl: -0.3686 (-0.3674) time: 0.8686 data: 0.0003 max mem: 29859 [04:45:05.679344] Epoch: [240] [500/850] eta: 0:05:05 lr: 0.002011 loss: 0.0230 (0.0199) loss_rec_all: 0.0592 (0.0561) loss_rec_sfr: 0.0635 (0.0773) loss_cl: -0.3669 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [04:45:23.020490] Epoch: [240] [520/850] eta: 0:04:48 lr: 0.002011 loss: 0.0215 (0.0200) loss_rec_all: 0.0578 (0.0562) loss_rec_sfr: 0.0938 (0.0777) loss_cl: -0.3671 (-0.3673) time: 0.8670 data: 0.0002 max mem: 29859 [04:45:40.357287] Epoch: [240] [540/850] eta: 0:04:30 lr: 0.002010 loss: 0.0212 (0.0201) loss_rec_all: 0.0573 (0.0563) loss_rec_sfr: 0.0622 (0.0777) loss_cl: -0.3672 (-0.3673) time: 0.8667 data: 0.0003 max mem: 29859 [04:45:57.665102] Epoch: [240] [560/850] eta: 0:04:12 lr: 0.002010 loss: 0.0196 (0.0201) loss_rec_all: 0.0559 (0.0563) loss_rec_sfr: 0.0576 (0.0774) loss_cl: -0.3675 (-0.3673) time: 0.8653 data: 0.0003 max mem: 29859 [04:46:14.957568] Epoch: [240] [580/850] eta: 0:03:55 lr: 0.002010 loss: 0.0195 (0.0201) loss_rec_all: 0.0557 (0.0563) loss_rec_sfr: 0.0593 (0.0773) loss_cl: -0.3674 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [04:46:32.376673] Epoch: [240] [600/850] eta: 0:03:38 lr: 0.002010 loss: 0.0187 (0.0201) loss_rec_all: 0.0548 (0.0563) loss_rec_sfr: 0.0583 (0.0772) loss_cl: -0.3675 (-0.3674) time: 0.8709 data: 0.0003 max mem: 29859 [04:46:49.643453] Epoch: [240] [620/850] eta: 0:03:20 lr: 0.002010 loss: 0.0178 (0.0200) loss_rec_all: 0.0541 (0.0562) loss_rec_sfr: 0.0589 (0.0770) loss_cl: -0.3678 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [04:47:06.953084] Epoch: [240] [640/850] eta: 0:03:03 lr: 0.002010 loss: 0.0191 (0.0200) loss_rec_all: 0.0552 (0.0562) loss_rec_sfr: 0.0782 (0.0772) loss_cl: -0.3675 (-0.3674) time: 0.8654 data: 0.0002 max mem: 29859 [04:47:24.289576] Epoch: [240] [660/850] eta: 0:02:45 lr: 0.002010 loss: 0.0200 (0.0201) loss_rec_all: 0.0559 (0.0563) loss_rec_sfr: 0.0791 (0.0773) loss_cl: -0.3670 (-0.3674) time: 0.8667 data: 0.0003 max mem: 29859 [04:47:41.627358] Epoch: [240] [680/850] eta: 0:02:28 lr: 0.002010 loss: 0.0191 (0.0200) loss_rec_all: 0.0554 (0.0562) loss_rec_sfr: 0.0623 (0.0772) loss_cl: -0.3667 (-0.3673) time: 0.8668 data: 0.0002 max mem: 29859 [04:47:58.903778] Epoch: [240] [700/850] eta: 0:02:10 lr: 0.002010 loss: 0.0191 (0.0200) loss_rec_all: 0.0551 (0.0562) loss_rec_sfr: 0.0955 (0.0776) loss_cl: -0.3671 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [04:48:16.270079] Epoch: [240] [720/850] eta: 0:01:53 lr: 0.002010 loss: 0.0185 (0.0200) loss_rec_all: 0.0550 (0.0562) loss_rec_sfr: 0.0628 (0.0777) loss_cl: -0.3677 (-0.3673) time: 0.8682 data: 0.0003 max mem: 29859 [04:48:33.570629] Epoch: [240] [740/850] eta: 0:01:35 lr: 0.002010 loss: 0.0174 (0.0200) loss_rec_all: 0.0537 (0.0562) loss_rec_sfr: 0.0593 (0.0777) loss_cl: -0.3678 (-0.3673) time: 0.8650 data: 0.0003 max mem: 29859 [04:48:50.894808] Epoch: [240] [760/850] eta: 0:01:18 lr: 0.002009 loss: 0.0187 (0.0200) loss_rec_all: 0.0549 (0.0562) loss_rec_sfr: 0.0673 (0.0777) loss_cl: -0.3670 (-0.3673) time: 0.8661 data: 0.0002 max mem: 29859 [04:49:08.195709] Epoch: [240] [780/850] eta: 0:01:00 lr: 0.002009 loss: 0.0182 (0.0199) loss_rec_all: 0.0545 (0.0561) loss_rec_sfr: 0.0647 (0.0778) loss_cl: -0.3677 (-0.3673) time: 0.8650 data: 0.0003 max mem: 29859 [04:49:25.616318] Epoch: [240] [800/850] eta: 0:00:43 lr: 0.002009 loss: 0.0210 (0.0200) loss_rec_all: 0.0573 (0.0562) loss_rec_sfr: 0.0619 (0.0779) loss_cl: -0.3681 (-0.3674) time: 0.8710 data: 0.0003 max mem: 29859 [04:49:42.879157] Epoch: [240] [820/850] eta: 0:00:26 lr: 0.002009 loss: 0.0218 (0.0200) loss_rec_all: 0.0581 (0.0562) loss_rec_sfr: 0.0703 (0.0781) loss_cl: -0.3676 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [04:50:00.187041] Epoch: [240] [840/850] eta: 0:00:08 lr: 0.002009 loss: 0.0193 (0.0200) loss_rec_all: 0.0556 (0.0562) loss_rec_sfr: 0.0622 (0.0782) loss_cl: -0.3674 (-0.3674) time: 0.8653 data: 0.0005 max mem: 29859 [04:50:07.982027] Epoch: [240] [849/850] eta: 0:00:00 lr: 0.002009 loss: 0.0192 (0.0200) loss_rec_all: 0.0552 (0.0562) loss_rec_sfr: 0.0622 (0.0783) loss_cl: -0.3675 (-0.3674) time: 0.8664 data: 0.0005 max mem: 29859 [04:50:08.130837] Epoch: [240] Total time: 0:12:19 (0.8705 s / it) [04:50:08.138538] Averaged stats: lr: 0.002009 loss: 0.0192 (0.0202) loss_rec_all: 0.0552 (0.0563) loss_rec_sfr: 0.0622 (0.0795) loss_cl: -0.3675 (-0.3673) [04:50:08.147977] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [04:50:12.842123] Epoch: [241] [ 0/850] eta: 1:06:28 lr: 0.002009 loss: 0.0254 (0.0254) loss_rec_all: 0.0615 (0.0615) loss_rec_sfr: 0.0856 (0.0856) loss_cl: -0.3672 (-0.3672) time: 4.6929 data: 3.8361 max mem: 29859 [04:50:30.054166] Epoch: [241] [ 20/850] eta: 0:14:25 lr: 0.002009 loss: 0.0203 (0.0207) loss_rec_all: 0.0562 (0.0568) loss_rec_sfr: 0.0833 (0.0869) loss_cl: -0.3671 (-0.3672) time: 0.8605 data: 0.0003 max mem: 29859 [04:50:47.312794] Epoch: [241] [ 40/850] eta: 0:12:53 lr: 0.002009 loss: 0.0199 (0.0207) loss_rec_all: 0.0560 (0.0568) loss_rec_sfr: 0.0853 (0.0852) loss_cl: -0.3670 (-0.3671) time: 0.8629 data: 0.0002 max mem: 29859 [04:51:04.626302] Epoch: [241] [ 60/850] eta: 0:12:11 lr: 0.002009 loss: 0.0197 (0.0204) loss_rec_all: 0.0557 (0.0565) loss_rec_sfr: 0.0649 (0.0837) loss_cl: -0.3667 (-0.3670) time: 0.8655 data: 0.0003 max mem: 29859 [04:51:21.927388] Epoch: [241] [ 80/850] eta: 0:11:41 lr: 0.002009 loss: 0.0188 (0.0201) loss_rec_all: 0.0549 (0.0562) loss_rec_sfr: 0.0624 (0.0822) loss_cl: -0.3659 (-0.3667) time: 0.8650 data: 0.0003 max mem: 29859 [04:51:39.182127] Epoch: [241] [100/850] eta: 0:11:15 lr: 0.002009 loss: 0.0186 (0.0198) loss_rec_all: 0.0549 (0.0559) loss_rec_sfr: 0.0575 (0.0800) loss_cl: -0.3670 (-0.3667) time: 0.8626 data: 0.0003 max mem: 29859 [04:51:56.503841] Epoch: [241] [120/850] eta: 0:10:53 lr: 0.002009 loss: 0.0192 (0.0198) loss_rec_all: 0.0551 (0.0559) loss_rec_sfr: 0.0617 (0.0794) loss_cl: -0.3674 (-0.3668) time: 0.8660 data: 0.0004 max mem: 29859 [04:52:13.868851] Epoch: [241] [140/850] eta: 0:10:32 lr: 0.002008 loss: 0.0177 (0.0197) loss_rec_all: 0.0542 (0.0558) loss_rec_sfr: 0.0579 (0.0779) loss_cl: -0.3681 (-0.3670) time: 0.8682 data: 0.0004 max mem: 29859 [04:52:31.159005] Epoch: [241] [160/850] eta: 0:10:12 lr: 0.002008 loss: 0.0193 (0.0197) loss_rec_all: 0.0556 (0.0559) loss_rec_sfr: 0.0862 (0.0792) loss_cl: -0.3682 (-0.3671) time: 0.8645 data: 0.0002 max mem: 29859 [04:52:48.427260] Epoch: [241] [180/850] eta: 0:09:53 lr: 0.002008 loss: 0.0204 (0.0197) loss_rec_all: 0.0565 (0.0559) loss_rec_sfr: 0.0782 (0.0802) loss_cl: -0.3677 (-0.3672) time: 0.8633 data: 0.0005 max mem: 29859 [04:53:05.824997] Epoch: [241] [200/850] eta: 0:09:34 lr: 0.002008 loss: 0.0182 (0.0197) loss_rec_all: 0.0544 (0.0558) loss_rec_sfr: 0.0628 (0.0804) loss_cl: -0.3677 (-0.3672) time: 0.8698 data: 0.0003 max mem: 29859 [04:53:23.093322] Epoch: [241] [220/850] eta: 0:09:15 lr: 0.002008 loss: 0.0193 (0.0197) loss_rec_all: 0.0553 (0.0559) loss_rec_sfr: 0.0803 (0.0803) loss_cl: -0.3673 (-0.3672) time: 0.8634 data: 0.0002 max mem: 29859 [04:53:40.372213] Epoch: [241] [240/850] eta: 0:08:57 lr: 0.002008 loss: 0.0186 (0.0197) loss_rec_all: 0.0546 (0.0559) loss_rec_sfr: 0.0797 (0.0805) loss_cl: -0.3672 (-0.3672) time: 0.8639 data: 0.0003 max mem: 29859 [04:53:57.648841] Epoch: [241] [260/850] eta: 0:08:38 lr: 0.002008 loss: 0.0173 (0.0196) loss_rec_all: 0.0538 (0.0558) loss_rec_sfr: 0.0619 (0.0798) loss_cl: -0.3678 (-0.3673) time: 0.8638 data: 0.0003 max mem: 29859 [04:54:14.990761] Epoch: [241] [280/850] eta: 0:08:20 lr: 0.002008 loss: 0.0183 (0.0196) loss_rec_all: 0.0545 (0.0557) loss_rec_sfr: 0.0666 (0.0800) loss_cl: -0.3673 (-0.3673) time: 0.8670 data: 0.0003 max mem: 29859 [04:54:32.258529] Epoch: [241] [300/850] eta: 0:08:02 lr: 0.002008 loss: 0.0199 (0.0196) loss_rec_all: 0.0559 (0.0558) loss_rec_sfr: 0.0798 (0.0804) loss_cl: -0.3671 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [04:54:49.607599] Epoch: [241] [320/850] eta: 0:07:44 lr: 0.002008 loss: 0.0188 (0.0196) loss_rec_all: 0.0551 (0.0558) loss_rec_sfr: 0.0652 (0.0800) loss_cl: -0.3666 (-0.3672) time: 0.8674 data: 0.0003 max mem: 29859 [04:55:06.922707] Epoch: [241] [340/850] eta: 0:07:26 lr: 0.002008 loss: 0.0209 (0.0197) loss_rec_all: 0.0571 (0.0559) loss_rec_sfr: 0.0879 (0.0803) loss_cl: -0.3673 (-0.3672) time: 0.8657 data: 0.0003 max mem: 29859 [04:55:24.223896] Epoch: [241] [360/850] eta: 0:07:08 lr: 0.002008 loss: 0.0206 (0.0198) loss_rec_all: 0.0567 (0.0560) loss_rec_sfr: 0.0634 (0.0802) loss_cl: -0.3673 (-0.3672) time: 0.8650 data: 0.0003 max mem: 29859 [04:55:41.473094] Epoch: [241] [380/850] eta: 0:06:51 lr: 0.002007 loss: 0.0199 (0.0198) loss_rec_all: 0.0563 (0.0560) loss_rec_sfr: 0.0618 (0.0803) loss_cl: -0.3675 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [04:55:58.824145] Epoch: [241] [400/850] eta: 0:06:33 lr: 0.002007 loss: 0.0193 (0.0198) loss_rec_all: 0.0555 (0.0560) loss_rec_sfr: 0.0625 (0.0799) loss_cl: -0.3679 (-0.3673) time: 0.8675 data: 0.0003 max mem: 29859 [04:56:16.076062] Epoch: [241] [420/850] eta: 0:06:15 lr: 0.002007 loss: 0.0195 (0.0198) loss_rec_all: 0.0557 (0.0560) loss_rec_sfr: 0.0796 (0.0798) loss_cl: -0.3670 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [04:56:33.384272] Epoch: [241] [440/850] eta: 0:05:58 lr: 0.002007 loss: 0.0182 (0.0198) loss_rec_all: 0.0543 (0.0560) loss_rec_sfr: 0.0836 (0.0800) loss_cl: -0.3668 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [04:56:50.733023] Epoch: [241] [460/850] eta: 0:05:40 lr: 0.002007 loss: 0.0198 (0.0198) loss_rec_all: 0.0557 (0.0560) loss_rec_sfr: 0.0805 (0.0802) loss_cl: -0.3667 (-0.3672) time: 0.8674 data: 0.0003 max mem: 29859 [04:57:08.047203] Epoch: [241] [480/850] eta: 0:05:22 lr: 0.002007 loss: 0.0181 (0.0198) loss_rec_all: 0.0544 (0.0560) loss_rec_sfr: 0.0578 (0.0798) loss_cl: -0.3669 (-0.3672) time: 0.8657 data: 0.0002 max mem: 29859 [04:57:25.313609] Epoch: [241] [500/850] eta: 0:05:05 lr: 0.002007 loss: 0.0183 (0.0198) loss_rec_all: 0.0547 (0.0559) loss_rec_sfr: 0.0543 (0.0793) loss_cl: -0.3674 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [04:57:42.704734] Epoch: [241] [520/850] eta: 0:04:47 lr: 0.002007 loss: 0.0190 (0.0198) loss_rec_all: 0.0554 (0.0559) loss_rec_sfr: 0.0856 (0.0795) loss_cl: -0.3675 (-0.3672) time: 0.8695 data: 0.0004 max mem: 29859 [04:57:59.970112] Epoch: [241] [540/850] eta: 0:04:30 lr: 0.002007 loss: 0.0179 (0.0197) loss_rec_all: 0.0542 (0.0559) loss_rec_sfr: 0.0651 (0.0795) loss_cl: -0.3675 (-0.3672) time: 0.8632 data: 0.0003 max mem: 29859 [04:58:17.286664] Epoch: [241] [560/850] eta: 0:04:12 lr: 0.002007 loss: 0.0189 (0.0197) loss_rec_all: 0.0551 (0.0559) loss_rec_sfr: 0.0600 (0.0793) loss_cl: -0.3675 (-0.3672) time: 0.8658 data: 0.0003 max mem: 29859 [04:58:34.578404] Epoch: [241] [580/850] eta: 0:03:55 lr: 0.002007 loss: 0.0181 (0.0197) loss_rec_all: 0.0541 (0.0559) loss_rec_sfr: 0.0597 (0.0791) loss_cl: -0.3668 (-0.3672) time: 0.8645 data: 0.0003 max mem: 29859 [04:58:51.930326] Epoch: [241] [600/850] eta: 0:03:37 lr: 0.002006 loss: 0.0197 (0.0198) loss_rec_all: 0.0559 (0.0559) loss_rec_sfr: 0.0812 (0.0792) loss_cl: -0.3668 (-0.3672) time: 0.8675 data: 0.0003 max mem: 29859 [04:59:09.191654] Epoch: [241] [620/850] eta: 0:03:20 lr: 0.002006 loss: 0.0187 (0.0197) loss_rec_all: 0.0548 (0.0559) loss_rec_sfr: 0.0593 (0.0790) loss_cl: -0.3675 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [04:59:26.527867] Epoch: [241] [640/850] eta: 0:03:02 lr: 0.002006 loss: 0.0178 (0.0197) loss_rec_all: 0.0541 (0.0559) loss_rec_sfr: 0.0619 (0.0791) loss_cl: -0.3684 (-0.3672) time: 0.8667 data: 0.0002 max mem: 29859 [04:59:43.864553] Epoch: [241] [660/850] eta: 0:02:45 lr: 0.002006 loss: 0.0187 (0.0197) loss_rec_all: 0.0550 (0.0558) loss_rec_sfr: 0.0596 (0.0789) loss_cl: -0.3676 (-0.3673) time: 0.8668 data: 0.0003 max mem: 29859 [05:00:01.158445] Epoch: [241] [680/850] eta: 0:02:28 lr: 0.002006 loss: 0.0208 (0.0197) loss_rec_all: 0.0571 (0.0559) loss_rec_sfr: 0.0830 (0.0791) loss_cl: -0.3680 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [05:00:18.433889] Epoch: [241] [700/850] eta: 0:02:10 lr: 0.002006 loss: 0.0188 (0.0197) loss_rec_all: 0.0552 (0.0559) loss_rec_sfr: 0.0636 (0.0790) loss_cl: -0.3682 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [05:00:35.846401] Epoch: [241] [720/850] eta: 0:01:53 lr: 0.002006 loss: 0.0187 (0.0197) loss_rec_all: 0.0548 (0.0559) loss_rec_sfr: 0.0844 (0.0791) loss_cl: -0.3675 (-0.3673) time: 0.8705 data: 0.0004 max mem: 29859 [05:00:53.108624] Epoch: [241] [740/850] eta: 0:01:35 lr: 0.002006 loss: 0.0198 (0.0198) loss_rec_all: 0.0559 (0.0559) loss_rec_sfr: 0.0774 (0.0791) loss_cl: -0.3667 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [05:01:10.424922] Epoch: [241] [760/850] eta: 0:01:18 lr: 0.002006 loss: 0.0196 (0.0198) loss_rec_all: 0.0557 (0.0559) loss_rec_sfr: 0.0810 (0.0791) loss_cl: -0.3658 (-0.3673) time: 0.8657 data: 0.0002 max mem: 29859 [05:01:27.767571] Epoch: [241] [780/850] eta: 0:01:00 lr: 0.002006 loss: 0.0189 (0.0198) loss_rec_all: 0.0549 (0.0559) loss_rec_sfr: 0.0672 (0.0791) loss_cl: -0.3663 (-0.3672) time: 0.8670 data: 0.0004 max mem: 29859 [05:01:45.075724] Epoch: [241] [800/850] eta: 0:00:43 lr: 0.002006 loss: 0.0177 (0.0197) loss_rec_all: 0.0539 (0.0559) loss_rec_sfr: 0.0640 (0.0791) loss_cl: -0.3672 (-0.3672) time: 0.8653 data: 0.0003 max mem: 29859 [05:02:02.329362] Epoch: [241] [820/850] eta: 0:00:26 lr: 0.002006 loss: 0.0199 (0.0198) loss_rec_all: 0.0560 (0.0559) loss_rec_sfr: 0.0810 (0.0792) loss_cl: -0.3679 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [05:02:19.692304] Epoch: [241] [840/850] eta: 0:00:08 lr: 0.002005 loss: 0.0188 (0.0198) loss_rec_all: 0.0551 (0.0559) loss_rec_sfr: 0.0627 (0.0791) loss_cl: -0.3683 (-0.3673) time: 0.8681 data: 0.0008 max mem: 29859 [05:02:27.477514] Epoch: [241] [849/850] eta: 0:00:00 lr: 0.002005 loss: 0.0202 (0.0198) loss_rec_all: 0.0562 (0.0559) loss_rec_sfr: 0.0661 (0.0791) loss_cl: -0.3683 (-0.3673) time: 0.8683 data: 0.0008 max mem: 29859 [05:02:27.603590] Epoch: [241] Total time: 0:12:19 (0.8699 s / it) [05:02:27.614328] Averaged stats: lr: 0.002005 loss: 0.0202 (0.0198) loss_rec_all: 0.0562 (0.0560) loss_rec_sfr: 0.0661 (0.0794) loss_cl: -0.3683 (-0.3673) [05:02:27.624652] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [05:02:31.667668] Epoch: [242] [ 0/850] eta: 0:57:15 lr: 0.002005 loss: 0.0212 (0.0212) loss_rec_all: 0.0572 (0.0572) loss_rec_sfr: 0.1059 (0.1059) loss_cl: -0.3672 (-0.3672) time: 4.0423 data: 3.1849 max mem: 29859 [05:02:48.888925] Epoch: [242] [ 20/850] eta: 0:14:00 lr: 0.002005 loss: 0.0192 (0.0197) loss_rec_all: 0.0552 (0.0559) loss_rec_sfr: 0.0798 (0.0817) loss_cl: -0.3677 (-0.3676) time: 0.8610 data: 0.0002 max mem: 29859 [05:03:06.185924] Epoch: [242] [ 40/850] eta: 0:12:41 lr: 0.002005 loss: 0.0194 (0.0197) loss_rec_all: 0.0553 (0.0559) loss_rec_sfr: 0.0837 (0.0841) loss_cl: -0.3672 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [05:03:23.506385] Epoch: [242] [ 60/850] eta: 0:12:03 lr: 0.002005 loss: 0.0196 (0.0202) loss_rec_all: 0.0559 (0.0564) loss_rec_sfr: 0.0701 (0.0802) loss_cl: -0.3670 (-0.3672) time: 0.8660 data: 0.0004 max mem: 29859 [05:03:40.795415] Epoch: [242] [ 80/850] eta: 0:11:35 lr: 0.002005 loss: 0.0188 (0.0201) loss_rec_all: 0.0550 (0.0562) loss_rec_sfr: 0.0710 (0.0800) loss_cl: -0.3673 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [05:03:58.058214] Epoch: [242] [100/850] eta: 0:11:11 lr: 0.002005 loss: 0.0180 (0.0198) loss_rec_all: 0.0541 (0.0560) loss_rec_sfr: 0.0621 (0.0781) loss_cl: -0.3673 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [05:04:15.431989] Epoch: [242] [120/850] eta: 0:10:50 lr: 0.002005 loss: 0.0185 (0.0197) loss_rec_all: 0.0546 (0.0558) loss_rec_sfr: 0.0600 (0.0787) loss_cl: -0.3680 (-0.3674) time: 0.8686 data: 0.0004 max mem: 29859 [05:04:32.697357] Epoch: [242] [140/850] eta: 0:10:29 lr: 0.002005 loss: 0.0195 (0.0198) loss_rec_all: 0.0558 (0.0559) loss_rec_sfr: 0.0686 (0.0784) loss_cl: -0.3676 (-0.3674) time: 0.8632 data: 0.0003 max mem: 29859 [05:04:49.993302] Epoch: [242] [160/850] eta: 0:10:10 lr: 0.002005 loss: 0.0198 (0.0198) loss_rec_all: 0.0558 (0.0560) loss_rec_sfr: 0.0652 (0.0788) loss_cl: -0.3668 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [05:05:07.334772] Epoch: [242] [180/850] eta: 0:09:51 lr: 0.002005 loss: 0.0193 (0.0198) loss_rec_all: 0.0556 (0.0560) loss_rec_sfr: 0.0806 (0.0793) loss_cl: -0.3667 (-0.3673) time: 0.8670 data: 0.0003 max mem: 29859 [05:05:24.657546] Epoch: [242] [200/850] eta: 0:09:32 lr: 0.002005 loss: 0.0205 (0.0199) loss_rec_all: 0.0565 (0.0561) loss_rec_sfr: 0.0788 (0.0792) loss_cl: -0.3675 (-0.3673) time: 0.8661 data: 0.0002 max mem: 29859 [05:05:41.915938] Epoch: [242] [220/850] eta: 0:09:13 lr: 0.002004 loss: 0.0199 (0.0199) loss_rec_all: 0.0560 (0.0561) loss_rec_sfr: 0.0817 (0.0797) loss_cl: -0.3678 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [05:05:59.273568] Epoch: [242] [240/850] eta: 0:08:55 lr: 0.002004 loss: 0.0188 (0.0199) loss_rec_all: 0.0548 (0.0560) loss_rec_sfr: 0.0652 (0.0798) loss_cl: -0.3675 (-0.3673) time: 0.8678 data: 0.0002 max mem: 29859 [05:06:16.573527] Epoch: [242] [260/850] eta: 0:08:37 lr: 0.002004 loss: 0.0172 (0.0197) loss_rec_all: 0.0536 (0.0559) loss_rec_sfr: 0.0598 (0.0796) loss_cl: -0.3677 (-0.3674) time: 0.8649 data: 0.0003 max mem: 29859 [05:06:33.884712] Epoch: [242] [280/850] eta: 0:08:19 lr: 0.002004 loss: 0.0187 (0.0197) loss_rec_all: 0.0549 (0.0559) loss_rec_sfr: 0.0816 (0.0800) loss_cl: -0.3675 (-0.3674) time: 0.8655 data: 0.0003 max mem: 29859 [05:06:51.174532] Epoch: [242] [300/850] eta: 0:08:01 lr: 0.002004 loss: 0.0187 (0.0197) loss_rec_all: 0.0551 (0.0559) loss_rec_sfr: 0.0780 (0.0800) loss_cl: -0.3669 (-0.3673) time: 0.8643 data: 0.0003 max mem: 29859 [05:07:08.570511] Epoch: [242] [320/850] eta: 0:07:43 lr: 0.002004 loss: 0.0207 (0.0198) loss_rec_all: 0.0569 (0.0560) loss_rec_sfr: 0.0644 (0.0799) loss_cl: -0.3664 (-0.3673) time: 0.8697 data: 0.0003 max mem: 29859 [05:07:25.838677] Epoch: [242] [340/850] eta: 0:07:25 lr: 0.002004 loss: 0.0191 (0.0198) loss_rec_all: 0.0550 (0.0560) loss_rec_sfr: 0.0596 (0.0798) loss_cl: -0.3668 (-0.3673) time: 0.8634 data: 0.0003 max mem: 29859 [05:07:43.194039] Epoch: [242] [360/850] eta: 0:07:08 lr: 0.002004 loss: 0.0208 (0.0199) loss_rec_all: 0.0570 (0.0560) loss_rec_sfr: 0.0886 (0.0803) loss_cl: -0.3670 (-0.3673) time: 0.8677 data: 0.0009 max mem: 29859 [05:08:00.550578] Epoch: [242] [380/850] eta: 0:06:50 lr: 0.002004 loss: 0.0185 (0.0198) loss_rec_all: 0.0549 (0.0560) loss_rec_sfr: 0.0635 (0.0799) loss_cl: -0.3676 (-0.3673) time: 0.8678 data: 0.0003 max mem: 29859 [05:08:17.857982] Epoch: [242] [400/850] eta: 0:06:32 lr: 0.002004 loss: 0.0188 (0.0199) loss_rec_all: 0.0552 (0.0560) loss_rec_sfr: 0.0615 (0.0796) loss_cl: -0.3678 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [05:08:35.137502] Epoch: [242] [420/850] eta: 0:06:15 lr: 0.002004 loss: 0.0195 (0.0199) loss_rec_all: 0.0558 (0.0560) loss_rec_sfr: 0.0805 (0.0798) loss_cl: -0.3676 (-0.3673) time: 0.8639 data: 0.0003 max mem: 29859 [05:08:52.517672] Epoch: [242] [440/850] eta: 0:05:57 lr: 0.002004 loss: 0.0183 (0.0198) loss_rec_all: 0.0545 (0.0560) loss_rec_sfr: 0.0587 (0.0793) loss_cl: -0.3666 (-0.3673) time: 0.8689 data: 0.0004 max mem: 29859 [05:09:09.778982] Epoch: [242] [460/850] eta: 0:05:40 lr: 0.002003 loss: 0.0198 (0.0198) loss_rec_all: 0.0555 (0.0560) loss_rec_sfr: 0.0775 (0.0794) loss_cl: -0.3665 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [05:09:27.075872] Epoch: [242] [480/850] eta: 0:05:22 lr: 0.002003 loss: 0.0198 (0.0198) loss_rec_all: 0.0558 (0.0560) loss_rec_sfr: 0.0794 (0.0797) loss_cl: -0.3673 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [05:09:44.416941] Epoch: [242] [500/850] eta: 0:05:05 lr: 0.002003 loss: 0.0183 (0.0198) loss_rec_all: 0.0542 (0.0560) loss_rec_sfr: 0.0587 (0.0793) loss_cl: -0.3678 (-0.3673) time: 0.8669 data: 0.0003 max mem: 29859 [05:10:01.729353] Epoch: [242] [520/850] eta: 0:04:47 lr: 0.002003 loss: 0.0189 (0.0198) loss_rec_all: 0.0552 (0.0560) loss_rec_sfr: 0.0651 (0.0792) loss_cl: -0.3680 (-0.3673) time: 0.8656 data: 0.0003 max mem: 29859 [05:10:18.974526] Epoch: [242] [540/850] eta: 0:04:30 lr: 0.002003 loss: 0.0181 (0.0198) loss_rec_all: 0.0545 (0.0560) loss_rec_sfr: 0.0588 (0.0789) loss_cl: -0.3677 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [05:10:36.344916] Epoch: [242] [560/850] eta: 0:04:12 lr: 0.002003 loss: 0.0199 (0.0198) loss_rec_all: 0.0562 (0.0560) loss_rec_sfr: 0.0838 (0.0788) loss_cl: -0.3673 (-0.3673) time: 0.8685 data: 0.0003 max mem: 29859 [05:10:53.636769] Epoch: [242] [580/850] eta: 0:03:55 lr: 0.002003 loss: 0.0181 (0.0198) loss_rec_all: 0.0544 (0.0560) loss_rec_sfr: 0.0657 (0.0788) loss_cl: -0.3669 (-0.3673) time: 0.8645 data: 0.0006 max mem: 29859 [05:11:10.952384] Epoch: [242] [600/850] eta: 0:03:37 lr: 0.002003 loss: 0.0192 (0.0198) loss_rec_all: 0.0552 (0.0560) loss_rec_sfr: 0.0663 (0.0789) loss_cl: -0.3668 (-0.3673) time: 0.8657 data: 0.0004 max mem: 29859 [05:11:28.250393] Epoch: [242] [620/850] eta: 0:03:20 lr: 0.002003 loss: 0.0186 (0.0198) loss_rec_all: 0.0548 (0.0559) loss_rec_sfr: 0.0628 (0.0790) loss_cl: -0.3669 (-0.3673) time: 0.8648 data: 0.0003 max mem: 29859 [05:11:45.602806] Epoch: [242] [640/850] eta: 0:03:02 lr: 0.002003 loss: 0.0196 (0.0198) loss_rec_all: 0.0559 (0.0560) loss_rec_sfr: 0.0802 (0.0791) loss_cl: -0.3675 (-0.3673) time: 0.8676 data: 0.0003 max mem: 29859 [05:12:02.868930] Epoch: [242] [660/850] eta: 0:02:45 lr: 0.002003 loss: 0.0187 (0.0197) loss_rec_all: 0.0548 (0.0559) loss_rec_sfr: 0.0609 (0.0790) loss_cl: -0.3678 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [05:12:20.183626] Epoch: [242] [680/850] eta: 0:02:27 lr: 0.002002 loss: 0.0182 (0.0197) loss_rec_all: 0.0544 (0.0559) loss_rec_sfr: 0.0664 (0.0790) loss_cl: -0.3674 (-0.3673) time: 0.8657 data: 0.0002 max mem: 29859 [05:12:37.544523] Epoch: [242] [700/850] eta: 0:02:10 lr: 0.002002 loss: 0.0180 (0.0197) loss_rec_all: 0.0543 (0.0559) loss_rec_sfr: 0.0556 (0.0787) loss_cl: -0.3670 (-0.3673) time: 0.8680 data: 0.0003 max mem: 29859 [05:12:54.853756] Epoch: [242] [720/850] eta: 0:01:53 lr: 0.002002 loss: 0.0197 (0.0197) loss_rec_all: 0.0560 (0.0559) loss_rec_sfr: 0.0605 (0.0787) loss_cl: -0.3672 (-0.3673) time: 0.8654 data: 0.0002 max mem: 29859 [05:13:12.103787] Epoch: [242] [740/850] eta: 0:01:35 lr: 0.002002 loss: 0.0194 (0.0197) loss_rec_all: 0.0555 (0.0559) loss_rec_sfr: 0.0805 (0.0788) loss_cl: -0.3675 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [05:13:29.496930] Epoch: [242] [760/850] eta: 0:01:18 lr: 0.002002 loss: 0.0195 (0.0197) loss_rec_all: 0.0554 (0.0559) loss_rec_sfr: 0.0837 (0.0789) loss_cl: -0.3673 (-0.3673) time: 0.8696 data: 0.0003 max mem: 29859 [05:13:46.759914] Epoch: [242] [780/850] eta: 0:01:00 lr: 0.002002 loss: 0.0196 (0.0197) loss_rec_all: 0.0556 (0.0559) loss_rec_sfr: 0.0620 (0.0790) loss_cl: -0.3678 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [05:14:04.050454] Epoch: [242] [800/850] eta: 0:00:43 lr: 0.002002 loss: 0.0200 (0.0197) loss_rec_all: 0.0560 (0.0559) loss_rec_sfr: 0.0848 (0.0793) loss_cl: -0.3677 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [05:14:21.359956] Epoch: [242] [820/850] eta: 0:00:26 lr: 0.002002 loss: 0.0194 (0.0197) loss_rec_all: 0.0557 (0.0559) loss_rec_sfr: 0.0663 (0.0793) loss_cl: -0.3676 (-0.3673) time: 0.8653 data: 0.0003 max mem: 29859 [05:14:38.708187] Epoch: [242] [840/850] eta: 0:00:08 lr: 0.002002 loss: 0.0211 (0.0198) loss_rec_all: 0.0572 (0.0560) loss_rec_sfr: 0.0809 (0.0795) loss_cl: -0.3672 (-0.3673) time: 0.8674 data: 0.0007 max mem: 29859 [05:14:46.470413] Epoch: [242] [849/850] eta: 0:00:00 lr: 0.002002 loss: 0.0211 (0.0198) loss_rec_all: 0.0572 (0.0560) loss_rec_sfr: 0.0774 (0.0796) loss_cl: -0.3674 (-0.3673) time: 0.8650 data: 0.0006 max mem: 29859 [05:14:46.607864] Epoch: [242] Total time: 0:12:18 (0.8694 s / it) [05:14:46.615404] Averaged stats: lr: 0.002002 loss: 0.0211 (0.0198) loss_rec_all: 0.0572 (0.0559) loss_rec_sfr: 0.0774 (0.0794) loss_cl: -0.3674 (-0.3673) [05:14:46.627552] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [05:14:51.171892] Epoch: [243] [ 0/850] eta: 1:04:21 lr: 0.002002 loss: 0.0195 (0.0195) loss_rec_all: 0.0555 (0.0555) loss_rec_sfr: 0.0997 (0.0997) loss_cl: -0.3670 (-0.3670) time: 4.5433 data: 3.6834 max mem: 29859 [05:15:08.400086] Epoch: [243] [ 20/850] eta: 0:14:20 lr: 0.002002 loss: 0.0201 (0.0197) loss_rec_all: 0.0560 (0.0558) loss_rec_sfr: 0.0855 (0.0900) loss_cl: -0.3671 (-0.3671) time: 0.8613 data: 0.0002 max mem: 29859 [05:15:25.777237] Epoch: [243] [ 40/850] eta: 0:12:53 lr: 0.002002 loss: 0.0189 (0.0192) loss_rec_all: 0.0549 (0.0553) loss_rec_sfr: 0.0829 (0.0872) loss_cl: -0.3673 (-0.3672) time: 0.8688 data: 0.0003 max mem: 29859 [05:15:43.020506] Epoch: [243] [ 60/850] eta: 0:12:10 lr: 0.002001 loss: 0.0186 (0.0191) loss_rec_all: 0.0547 (0.0552) loss_rec_sfr: 0.0793 (0.0865) loss_cl: -0.3675 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [05:16:00.302044] Epoch: [243] [ 80/850] eta: 0:11:40 lr: 0.002001 loss: 0.0179 (0.0189) loss_rec_all: 0.0542 (0.0550) loss_rec_sfr: 0.0580 (0.0838) loss_cl: -0.3672 (-0.3672) time: 0.8640 data: 0.0002 max mem: 29859 [05:16:17.660697] Epoch: [243] [100/850] eta: 0:11:15 lr: 0.002001 loss: 0.0186 (0.0190) loss_rec_all: 0.0546 (0.0551) loss_rec_sfr: 0.0727 (0.0824) loss_cl: -0.3670 (-0.3671) time: 0.8679 data: 0.0003 max mem: 29859 [05:16:34.971865] Epoch: [243] [120/850] eta: 0:10:53 lr: 0.002001 loss: 0.0187 (0.0191) loss_rec_all: 0.0550 (0.0552) loss_rec_sfr: 0.0810 (0.0825) loss_cl: -0.3676 (-0.3672) time: 0.8655 data: 0.0003 max mem: 29859 [05:16:52.228539] Epoch: [243] [140/850] eta: 0:10:32 lr: 0.002001 loss: 0.0187 (0.0190) loss_rec_all: 0.0548 (0.0552) loss_rec_sfr: 0.0788 (0.0827) loss_cl: -0.3676 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [05:17:09.602511] Epoch: [243] [160/850] eta: 0:10:12 lr: 0.002001 loss: 0.0171 (0.0189) loss_rec_all: 0.0535 (0.0551) loss_rec_sfr: 0.0589 (0.0805) loss_cl: -0.3679 (-0.3674) time: 0.8685 data: 0.0004 max mem: 29859 [05:17:26.892446] Epoch: [243] [180/850] eta: 0:09:53 lr: 0.002001 loss: 0.0201 (0.0193) loss_rec_all: 0.0565 (0.0555) loss_rec_sfr: 0.0977 (0.0818) loss_cl: -0.3677 (-0.3674) time: 0.8644 data: 0.0003 max mem: 29859 [05:17:44.191650] Epoch: [243] [200/850] eta: 0:09:34 lr: 0.002001 loss: 0.0201 (0.0195) loss_rec_all: 0.0563 (0.0556) loss_rec_sfr: 0.0682 (0.0817) loss_cl: -0.3671 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [05:18:01.477169] Epoch: [243] [220/850] eta: 0:09:15 lr: 0.002001 loss: 0.0196 (0.0195) loss_rec_all: 0.0558 (0.0557) loss_rec_sfr: 0.0654 (0.0812) loss_cl: -0.3671 (-0.3673) time: 0.8642 data: 0.0003 max mem: 29859 [05:18:18.833670] Epoch: [243] [240/850] eta: 0:08:57 lr: 0.002001 loss: 0.0184 (0.0195) loss_rec_all: 0.0546 (0.0557) loss_rec_sfr: 0.0590 (0.0807) loss_cl: -0.3671 (-0.3673) time: 0.8678 data: 0.0003 max mem: 29859 [05:18:36.083068] Epoch: [243] [260/850] eta: 0:08:38 lr: 0.002001 loss: 0.0180 (0.0195) loss_rec_all: 0.0544 (0.0557) loss_rec_sfr: 0.0635 (0.0801) loss_cl: -0.3670 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [05:18:53.393276] Epoch: [243] [280/850] eta: 0:08:20 lr: 0.002001 loss: 0.0182 (0.0195) loss_rec_all: 0.0546 (0.0557) loss_rec_sfr: 0.0698 (0.0800) loss_cl: -0.3675 (-0.3673) time: 0.8654 data: 0.0002 max mem: 29859 [05:19:10.720824] Epoch: [243] [300/850] eta: 0:08:02 lr: 0.002000 loss: 0.0180 (0.0195) loss_rec_all: 0.0543 (0.0557) loss_rec_sfr: 0.0622 (0.0795) loss_cl: -0.3673 (-0.3673) time: 0.8663 data: 0.0003 max mem: 29859 [05:19:28.012099] Epoch: [243] [320/850] eta: 0:07:44 lr: 0.002000 loss: 0.0177 (0.0194) loss_rec_all: 0.0538 (0.0555) loss_rec_sfr: 0.0582 (0.0795) loss_cl: -0.3673 (-0.3673) time: 0.8645 data: 0.0003 max mem: 29859 [05:19:45.290683] Epoch: [243] [340/850] eta: 0:07:26 lr: 0.002000 loss: 0.0176 (0.0193) loss_rec_all: 0.0538 (0.0555) loss_rec_sfr: 0.0593 (0.0789) loss_cl: -0.3676 (-0.3673) time: 0.8639 data: 0.0003 max mem: 29859 [05:20:02.678902] Epoch: [243] [360/850] eta: 0:07:08 lr: 0.002000 loss: 0.0177 (0.0192) loss_rec_all: 0.0539 (0.0554) loss_rec_sfr: 0.0807 (0.0787) loss_cl: -0.3670 (-0.3673) time: 0.8694 data: 0.0003 max mem: 29859 [05:20:19.931622] Epoch: [243] [380/850] eta: 0:06:51 lr: 0.002000 loss: 0.0191 (0.0193) loss_rec_all: 0.0555 (0.0555) loss_rec_sfr: 0.0617 (0.0784) loss_cl: -0.3671 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [05:20:37.242060] Epoch: [243] [400/850] eta: 0:06:33 lr: 0.002000 loss: 0.0227 (0.0195) loss_rec_all: 0.0591 (0.0557) loss_rec_sfr: 0.0853 (0.0788) loss_cl: -0.3672 (-0.3673) time: 0.8655 data: 0.0002 max mem: 29859 [05:20:54.557795] Epoch: [243] [420/850] eta: 0:06:15 lr: 0.002000 loss: 0.0203 (0.0195) loss_rec_all: 0.0563 (0.0557) loss_rec_sfr: 0.0607 (0.0787) loss_cl: -0.3673 (-0.3673) time: 0.8657 data: 0.0003 max mem: 29859 [05:21:11.872418] Epoch: [243] [440/850] eta: 0:05:58 lr: 0.002000 loss: 0.0232 (0.0198) loss_rec_all: 0.0590 (0.0559) loss_rec_sfr: 0.0900 (0.0791) loss_cl: -0.3666 (-0.3672) time: 0.8657 data: 0.0002 max mem: 29859 [05:21:29.128927] Epoch: [243] [460/850] eta: 0:05:40 lr: 0.002000 loss: 0.0207 (0.0199) loss_rec_all: 0.0570 (0.0560) loss_rec_sfr: 0.0864 (0.0793) loss_cl: -0.3672 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [05:21:46.504244] Epoch: [243] [480/850] eta: 0:05:22 lr: 0.002000 loss: 0.0215 (0.0199) loss_rec_all: 0.0578 (0.0561) loss_rec_sfr: 0.0803 (0.0794) loss_cl: -0.3676 (-0.3672) time: 0.8686 data: 0.0003 max mem: 29859 [05:22:03.767510] Epoch: [243] [500/850] eta: 0:05:05 lr: 0.002000 loss: 0.0209 (0.0200) loss_rec_all: 0.0573 (0.0562) loss_rec_sfr: 0.0842 (0.0796) loss_cl: -0.3682 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [05:22:21.063347] Epoch: [243] [520/850] eta: 0:04:47 lr: 0.001999 loss: 0.0204 (0.0201) loss_rec_all: 0.0566 (0.0562) loss_rec_sfr: 0.0644 (0.0795) loss_cl: -0.3677 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [05:22:38.398581] Epoch: [243] [540/850] eta: 0:04:30 lr: 0.001999 loss: 0.0202 (0.0201) loss_rec_all: 0.0562 (0.0563) loss_rec_sfr: 0.0837 (0.0796) loss_cl: -0.3680 (-0.3673) time: 0.8667 data: 0.0003 max mem: 29859 [05:22:55.751821] Epoch: [243] [560/850] eta: 0:04:12 lr: 0.001999 loss: 0.0195 (0.0201) loss_rec_all: 0.0557 (0.0563) loss_rec_sfr: 0.0772 (0.0796) loss_cl: -0.3676 (-0.3673) time: 0.8676 data: 0.0003 max mem: 29859 [05:23:13.001191] Epoch: [243] [580/850] eta: 0:03:55 lr: 0.001999 loss: 0.0192 (0.0201) loss_rec_all: 0.0554 (0.0563) loss_rec_sfr: 0.0834 (0.0797) loss_cl: -0.3671 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [05:23:30.328930] Epoch: [243] [600/850] eta: 0:03:37 lr: 0.001999 loss: 0.0189 (0.0201) loss_rec_all: 0.0551 (0.0562) loss_rec_sfr: 0.0767 (0.0796) loss_cl: -0.3669 (-0.3673) time: 0.8663 data: 0.0002 max mem: 29859 [05:23:47.665130] Epoch: [243] [620/850] eta: 0:03:20 lr: 0.001999 loss: 0.0209 (0.0201) loss_rec_all: 0.0572 (0.0563) loss_rec_sfr: 0.0819 (0.0798) loss_cl: -0.3668 (-0.3673) time: 0.8668 data: 0.0003 max mem: 29859 [05:24:04.964023] Epoch: [243] [640/850] eta: 0:03:02 lr: 0.001999 loss: 0.0201 (0.0201) loss_rec_all: 0.0564 (0.0563) loss_rec_sfr: 0.0810 (0.0799) loss_cl: -0.3672 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [05:24:22.233917] Epoch: [243] [660/850] eta: 0:02:45 lr: 0.001999 loss: 0.0186 (0.0201) loss_rec_all: 0.0547 (0.0563) loss_rec_sfr: 0.0812 (0.0799) loss_cl: -0.3679 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [05:24:39.632425] Epoch: [243] [680/850] eta: 0:02:28 lr: 0.001999 loss: 0.0184 (0.0201) loss_rec_all: 0.0547 (0.0562) loss_rec_sfr: 0.0793 (0.0799) loss_cl: -0.3683 (-0.3673) time: 0.8699 data: 0.0003 max mem: 29859 [05:24:56.883804] Epoch: [243] [700/850] eta: 0:02:10 lr: 0.001999 loss: 0.0181 (0.0200) loss_rec_all: 0.0541 (0.0562) loss_rec_sfr: 0.0667 (0.0799) loss_cl: -0.3680 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [05:25:14.171061] Epoch: [243] [720/850] eta: 0:01:53 lr: 0.001999 loss: 0.0196 (0.0200) loss_rec_all: 0.0559 (0.0562) loss_rec_sfr: 0.0825 (0.0801) loss_cl: -0.3673 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [05:25:31.499588] Epoch: [243] [740/850] eta: 0:01:35 lr: 0.001999 loss: 0.0196 (0.0200) loss_rec_all: 0.0557 (0.0562) loss_rec_sfr: 0.0719 (0.0802) loss_cl: -0.3669 (-0.3673) time: 0.8664 data: 0.0004 max mem: 29859 [05:25:48.806739] Epoch: [243] [760/850] eta: 0:01:18 lr: 0.001998 loss: 0.0207 (0.0200) loss_rec_all: 0.0567 (0.0562) loss_rec_sfr: 0.0834 (0.0805) loss_cl: -0.3665 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [05:26:06.053924] Epoch: [243] [780/850] eta: 0:01:00 lr: 0.001998 loss: 0.0201 (0.0201) loss_rec_all: 0.0563 (0.0562) loss_rec_sfr: 0.0633 (0.0804) loss_cl: -0.3665 (-0.3673) time: 0.8623 data: 0.0003 max mem: 29859 [05:26:23.390293] Epoch: [243] [800/850] eta: 0:00:43 lr: 0.001998 loss: 0.0199 (0.0201) loss_rec_all: 0.0561 (0.0563) loss_rec_sfr: 0.0659 (0.0803) loss_cl: -0.3667 (-0.3673) time: 0.8668 data: 0.0003 max mem: 29859 [05:26:40.697705] Epoch: [243] [820/850] eta: 0:00:26 lr: 0.001998 loss: 0.0203 (0.0201) loss_rec_all: 0.0566 (0.0563) loss_rec_sfr: 0.0581 (0.0801) loss_cl: -0.3672 (-0.3673) time: 0.8653 data: 0.0003 max mem: 29859 [05:26:57.995624] Epoch: [243] [840/850] eta: 0:00:08 lr: 0.001998 loss: 0.0193 (0.0201) loss_rec_all: 0.0557 (0.0563) loss_rec_sfr: 0.0635 (0.0799) loss_cl: -0.3678 (-0.3673) time: 0.8648 data: 0.0005 max mem: 29859 [05:27:05.756317] Epoch: [243] [849/850] eta: 0:00:00 lr: 0.001998 loss: 0.0187 (0.0201) loss_rec_all: 0.0552 (0.0563) loss_rec_sfr: 0.0661 (0.0798) loss_cl: -0.3680 (-0.3673) time: 0.8646 data: 0.0005 max mem: 29859 [05:27:05.903025] Epoch: [243] Total time: 0:12:19 (0.8697 s / it) [05:27:05.905520] Averaged stats: lr: 0.001998 loss: 0.0187 (0.0201) loss_rec_all: 0.0552 (0.0563) loss_rec_sfr: 0.0661 (0.0800) loss_cl: -0.3680 (-0.3673) [05:27:05.918468] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [05:27:10.073570] Epoch: [244] [ 0/850] eta: 0:58:50 lr: 0.001998 loss: 0.0150 (0.0150) loss_rec_all: 0.0516 (0.0516) loss_rec_sfr: 0.0501 (0.0501) loss_cl: -0.3689 (-0.3689) time: 4.1541 data: 3.2953 max mem: 29859 [05:27:27.345662] Epoch: [244] [ 20/850] eta: 0:14:06 lr: 0.001998 loss: 0.0172 (0.0187) loss_rec_all: 0.0534 (0.0549) loss_rec_sfr: 0.0868 (0.0845) loss_cl: -0.3681 (-0.3682) time: 0.8635 data: 0.0003 max mem: 29859 [05:27:44.632665] Epoch: [244] [ 40/850] eta: 0:12:44 lr: 0.001998 loss: 0.0186 (0.0188) loss_rec_all: 0.0550 (0.0551) loss_rec_sfr: 0.0649 (0.0824) loss_cl: -0.3682 (-0.3681) time: 0.8643 data: 0.0002 max mem: 29859 [05:28:01.867085] Epoch: [244] [ 60/850] eta: 0:12:04 lr: 0.001998 loss: 0.0182 (0.0189) loss_rec_all: 0.0544 (0.0551) loss_rec_sfr: 0.0605 (0.0804) loss_cl: -0.3679 (-0.3680) time: 0.8617 data: 0.0002 max mem: 29859 [05:28:19.286494] Epoch: [244] [ 80/850] eta: 0:11:37 lr: 0.001998 loss: 0.0181 (0.0188) loss_rec_all: 0.0544 (0.0550) loss_rec_sfr: 0.0663 (0.0803) loss_cl: -0.3671 (-0.3677) time: 0.8708 data: 0.0004 max mem: 29859 [05:28:36.530691] Epoch: [244] [100/850] eta: 0:11:12 lr: 0.001998 loss: 0.0175 (0.0187) loss_rec_all: 0.0537 (0.0549) loss_rec_sfr: 0.0607 (0.0801) loss_cl: -0.3664 (-0.3675) time: 0.8621 data: 0.0003 max mem: 29859 [05:28:53.810678] Epoch: [244] [120/850] eta: 0:10:50 lr: 0.001998 loss: 0.0173 (0.0186) loss_rec_all: 0.0535 (0.0547) loss_rec_sfr: 0.0547 (0.0781) loss_cl: -0.3661 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [05:29:11.145416] Epoch: [244] [140/850] eta: 0:10:30 lr: 0.001997 loss: 0.0192 (0.0189) loss_rec_all: 0.0551 (0.0551) loss_rec_sfr: 0.0750 (0.0773) loss_cl: -0.3668 (-0.3672) time: 0.8665 data: 0.0003 max mem: 29859 [05:29:28.476616] Epoch: [244] [160/850] eta: 0:10:10 lr: 0.001997 loss: 0.0195 (0.0191) loss_rec_all: 0.0558 (0.0553) loss_rec_sfr: 0.0847 (0.0778) loss_cl: -0.3670 (-0.3672) time: 0.8665 data: 0.0003 max mem: 29859 [05:29:45.735304] Epoch: [244] [180/850] eta: 0:09:51 lr: 0.001997 loss: 0.0192 (0.0191) loss_rec_all: 0.0555 (0.0553) loss_rec_sfr: 0.0795 (0.0785) loss_cl: -0.3676 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [05:30:03.048981] Epoch: [244] [200/850] eta: 0:09:32 lr: 0.001997 loss: 0.0176 (0.0191) loss_rec_all: 0.0541 (0.0553) loss_rec_sfr: 0.0630 (0.0775) loss_cl: -0.3683 (-0.3673) time: 0.8656 data: 0.0003 max mem: 29859 [05:30:20.368353] Epoch: [244] [220/850] eta: 0:09:14 lr: 0.001997 loss: 0.0199 (0.0191) loss_rec_all: 0.0560 (0.0553) loss_rec_sfr: 0.0816 (0.0780) loss_cl: -0.3675 (-0.3673) time: 0.8659 data: 0.0003 max mem: 29859 [05:30:37.675814] Epoch: [244] [240/850] eta: 0:08:55 lr: 0.001997 loss: 0.0178 (0.0191) loss_rec_all: 0.0541 (0.0553) loss_rec_sfr: 0.0617 (0.0774) loss_cl: -0.3674 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [05:30:54.955777] Epoch: [244] [260/850] eta: 0:08:37 lr: 0.001997 loss: 0.0192 (0.0192) loss_rec_all: 0.0551 (0.0553) loss_rec_sfr: 0.0830 (0.0779) loss_cl: -0.3670 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [05:31:12.370138] Epoch: [244] [280/850] eta: 0:08:19 lr: 0.001997 loss: 0.0200 (0.0193) loss_rec_all: 0.0563 (0.0554) loss_rec_sfr: 0.0889 (0.0791) loss_cl: -0.3673 (-0.3673) time: 0.8706 data: 0.0004 max mem: 29859 [05:31:29.606168] Epoch: [244] [300/850] eta: 0:08:01 lr: 0.001997 loss: 0.0213 (0.0194) loss_rec_all: 0.0573 (0.0556) loss_rec_sfr: 0.0632 (0.0789) loss_cl: -0.3672 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [05:31:46.884359] Epoch: [244] [320/850] eta: 0:07:43 lr: 0.001997 loss: 0.0196 (0.0195) loss_rec_all: 0.0560 (0.0556) loss_rec_sfr: 0.0650 (0.0788) loss_cl: -0.3675 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [05:32:04.216305] Epoch: [244] [340/850] eta: 0:07:26 lr: 0.001997 loss: 0.0199 (0.0196) loss_rec_all: 0.0561 (0.0557) loss_rec_sfr: 0.0644 (0.0785) loss_cl: -0.3677 (-0.3673) time: 0.8665 data: 0.0004 max mem: 29859 [05:32:21.527449] Epoch: [244] [360/850] eta: 0:07:08 lr: 0.001996 loss: 0.0194 (0.0196) loss_rec_all: 0.0556 (0.0557) loss_rec_sfr: 0.0824 (0.0789) loss_cl: -0.3677 (-0.3673) time: 0.8655 data: 0.0002 max mem: 29859 [05:32:38.778937] Epoch: [244] [380/850] eta: 0:06:50 lr: 0.001996 loss: 0.0203 (0.0196) loss_rec_all: 0.0562 (0.0558) loss_rec_sfr: 0.0821 (0.0791) loss_cl: -0.3671 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [05:32:56.157883] Epoch: [244] [400/850] eta: 0:06:33 lr: 0.001996 loss: 0.0181 (0.0195) loss_rec_all: 0.0545 (0.0557) loss_rec_sfr: 0.0552 (0.0783) loss_cl: -0.3673 (-0.3673) time: 0.8689 data: 0.0003 max mem: 29859 [05:33:13.440057] Epoch: [244] [420/850] eta: 0:06:15 lr: 0.001996 loss: 0.0185 (0.0195) loss_rec_all: 0.0547 (0.0557) loss_rec_sfr: 0.0607 (0.0782) loss_cl: -0.3671 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [05:33:30.718777] Epoch: [244] [440/850] eta: 0:05:57 lr: 0.001996 loss: 0.0189 (0.0195) loss_rec_all: 0.0552 (0.0557) loss_rec_sfr: 0.0619 (0.0783) loss_cl: -0.3672 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [05:33:48.007808] Epoch: [244] [460/850] eta: 0:05:40 lr: 0.001996 loss: 0.0163 (0.0194) loss_rec_all: 0.0527 (0.0556) loss_rec_sfr: 0.0582 (0.0778) loss_cl: -0.3673 (-0.3673) time: 0.8643 data: 0.0003 max mem: 29859 [05:34:05.358430] Epoch: [244] [480/850] eta: 0:05:22 lr: 0.001996 loss: 0.0172 (0.0194) loss_rec_all: 0.0533 (0.0556) loss_rec_sfr: 0.0828 (0.0778) loss_cl: -0.3678 (-0.3673) time: 0.8675 data: 0.0003 max mem: 29859 [05:34:22.614352] Epoch: [244] [500/850] eta: 0:05:05 lr: 0.001996 loss: 0.0185 (0.0194) loss_rec_all: 0.0544 (0.0556) loss_rec_sfr: 0.0789 (0.0779) loss_cl: -0.3675 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [05:34:39.941326] Epoch: [244] [520/850] eta: 0:04:47 lr: 0.001996 loss: 0.0182 (0.0194) loss_rec_all: 0.0544 (0.0556) loss_rec_sfr: 0.0662 (0.0777) loss_cl: -0.3673 (-0.3673) time: 0.8663 data: 0.0007 max mem: 29859 [05:34:57.291126] Epoch: [244] [540/850] eta: 0:04:30 lr: 0.001996 loss: 0.0219 (0.0195) loss_rec_all: 0.0580 (0.0556) loss_rec_sfr: 0.0863 (0.0782) loss_cl: -0.3674 (-0.3673) time: 0.8674 data: 0.0003 max mem: 29859 [05:35:14.596496] Epoch: [244] [560/850] eta: 0:04:12 lr: 0.001996 loss: 0.0200 (0.0195) loss_rec_all: 0.0560 (0.0557) loss_rec_sfr: 0.0755 (0.0783) loss_cl: -0.3671 (-0.3673) time: 0.8652 data: 0.0003 max mem: 29859 [05:35:31.859043] Epoch: [244] [580/850] eta: 0:03:55 lr: 0.001996 loss: 0.0203 (0.0196) loss_rec_all: 0.0565 (0.0558) loss_rec_sfr: 0.0890 (0.0787) loss_cl: -0.3671 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [05:35:49.242199] Epoch: [244] [600/850] eta: 0:03:37 lr: 0.001995 loss: 0.0200 (0.0196) loss_rec_all: 0.0562 (0.0558) loss_rec_sfr: 0.0641 (0.0787) loss_cl: -0.3673 (-0.3673) time: 0.8691 data: 0.0004 max mem: 29859 [05:36:06.497236] Epoch: [244] [620/850] eta: 0:03:20 lr: 0.001995 loss: 0.0203 (0.0197) loss_rec_all: 0.0563 (0.0558) loss_rec_sfr: 0.0844 (0.0791) loss_cl: -0.3670 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [05:36:23.805660] Epoch: [244] [640/850] eta: 0:03:02 lr: 0.001995 loss: 0.0192 (0.0197) loss_rec_all: 0.0553 (0.0558) loss_rec_sfr: 0.0633 (0.0790) loss_cl: -0.3672 (-0.3673) time: 0.8654 data: 0.0002 max mem: 29859 [05:36:41.132379] Epoch: [244] [660/850] eta: 0:02:45 lr: 0.001995 loss: 0.0196 (0.0197) loss_rec_all: 0.0556 (0.0559) loss_rec_sfr: 0.0899 (0.0793) loss_cl: -0.3674 (-0.3673) time: 0.8663 data: 0.0003 max mem: 29859 [05:36:58.426911] Epoch: [244] [680/850] eta: 0:02:27 lr: 0.001995 loss: 0.0193 (0.0197) loss_rec_all: 0.0556 (0.0559) loss_rec_sfr: 0.0829 (0.0794) loss_cl: -0.3677 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [05:37:15.697214] Epoch: [244] [700/850] eta: 0:02:10 lr: 0.001995 loss: 0.0186 (0.0197) loss_rec_all: 0.0548 (0.0558) loss_rec_sfr: 0.0624 (0.0794) loss_cl: -0.3683 (-0.3673) time: 0.8635 data: 0.0003 max mem: 29859 [05:37:33.137264] Epoch: [244] [720/850] eta: 0:01:53 lr: 0.001995 loss: 0.0193 (0.0197) loss_rec_all: 0.0554 (0.0558) loss_rec_sfr: 0.0834 (0.0797) loss_cl: -0.3677 (-0.3673) time: 0.8719 data: 0.0004 max mem: 29859 [05:37:50.428872] Epoch: [244] [740/850] eta: 0:01:35 lr: 0.001995 loss: 0.0186 (0.0197) loss_rec_all: 0.0551 (0.0558) loss_rec_sfr: 0.0641 (0.0796) loss_cl: -0.3673 (-0.3673) time: 0.8645 data: 0.0009 max mem: 29859 [05:38:07.742036] Epoch: [244] [760/850] eta: 0:01:18 lr: 0.001995 loss: 0.0187 (0.0197) loss_rec_all: 0.0549 (0.0558) loss_rec_sfr: 0.0651 (0.0795) loss_cl: -0.3668 (-0.3673) time: 0.8656 data: 0.0004 max mem: 29859 [05:38:25.042975] Epoch: [244] [780/850] eta: 0:01:00 lr: 0.001995 loss: 0.0191 (0.0197) loss_rec_all: 0.0553 (0.0558) loss_rec_sfr: 0.0575 (0.0794) loss_cl: -0.3661 (-0.3673) time: 0.8650 data: 0.0003 max mem: 29859 [05:38:42.385276] Epoch: [244] [800/850] eta: 0:00:43 lr: 0.001995 loss: 0.0185 (0.0196) loss_rec_all: 0.0546 (0.0558) loss_rec_sfr: 0.0909 (0.0794) loss_cl: -0.3671 (-0.3673) time: 0.8671 data: 0.0003 max mem: 29859 [05:38:59.637434] Epoch: [244] [820/850] eta: 0:00:26 lr: 0.001994 loss: 0.0187 (0.0196) loss_rec_all: 0.0547 (0.0558) loss_rec_sfr: 0.0651 (0.0794) loss_cl: -0.3673 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [05:39:16.997039] Epoch: [244] [840/850] eta: 0:00:08 lr: 0.001994 loss: 0.0202 (0.0196) loss_rec_all: 0.0566 (0.0558) loss_rec_sfr: 0.0780 (0.0794) loss_cl: -0.3670 (-0.3673) time: 0.8679 data: 0.0006 max mem: 29859 [05:39:24.797740] Epoch: [244] [849/850] eta: 0:00:00 lr: 0.001994 loss: 0.0218 (0.0197) loss_rec_all: 0.0576 (0.0558) loss_rec_sfr: 0.0823 (0.0794) loss_cl: -0.3669 (-0.3673) time: 0.8698 data: 0.0006 max mem: 29859 [05:39:24.935936] Epoch: [244] Total time: 0:12:19 (0.8694 s / it) [05:39:24.944319] Averaged stats: lr: 0.001994 loss: 0.0218 (0.0197) loss_rec_all: 0.0576 (0.0559) loss_rec_sfr: 0.0823 (0.0792) loss_cl: -0.3669 (-0.3673) [05:39:24.957161] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [05:39:29.571951] Epoch: [245] [ 0/850] eta: 1:05:21 lr: 0.001994 loss: 0.0175 (0.0175) loss_rec_all: 0.0536 (0.0536) loss_rec_sfr: 0.0943 (0.0943) loss_cl: -0.3677 (-0.3677) time: 4.6140 data: 3.7574 max mem: 29859 [05:39:47.024920] Epoch: [245] [ 20/850] eta: 0:14:32 lr: 0.001994 loss: 0.0198 (0.0204) loss_rec_all: 0.0560 (0.0566) loss_rec_sfr: 0.0653 (0.0752) loss_cl: -0.3668 (-0.3669) time: 0.8726 data: 0.0002 max mem: 29859 [05:40:04.285117] Epoch: [245] [ 40/850] eta: 0:12:56 lr: 0.001994 loss: 0.0204 (0.0206) loss_rec_all: 0.0567 (0.0568) loss_rec_sfr: 0.0633 (0.0757) loss_cl: -0.3675 (-0.3672) time: 0.8630 data: 0.0003 max mem: 29859 [05:40:21.612823] Epoch: [245] [ 60/850] eta: 0:12:13 lr: 0.001994 loss: 0.0192 (0.0203) loss_rec_all: 0.0552 (0.0565) loss_rec_sfr: 0.0627 (0.0765) loss_cl: -0.3677 (-0.3674) time: 0.8663 data: 0.0005 max mem: 29859 [05:40:38.897660] Epoch: [245] [ 80/850] eta: 0:11:42 lr: 0.001994 loss: 0.0189 (0.0201) loss_rec_all: 0.0553 (0.0563) loss_rec_sfr: 0.0686 (0.0756) loss_cl: -0.3677 (-0.3674) time: 0.8642 data: 0.0003 max mem: 29859 [05:40:56.146353] Epoch: [245] [100/850] eta: 0:11:17 lr: 0.001994 loss: 0.0172 (0.0197) loss_rec_all: 0.0534 (0.0560) loss_rec_sfr: 0.0585 (0.0744) loss_cl: -0.3679 (-0.3675) time: 0.8624 data: 0.0002 max mem: 29859 [05:41:13.555801] Epoch: [245] [120/850] eta: 0:10:55 lr: 0.001994 loss: 0.0181 (0.0196) loss_rec_all: 0.0545 (0.0558) loss_rec_sfr: 0.0631 (0.0740) loss_cl: -0.3680 (-0.3676) time: 0.8704 data: 0.0003 max mem: 29859 [05:41:30.823007] Epoch: [245] [140/850] eta: 0:10:33 lr: 0.001994 loss: 0.0187 (0.0195) loss_rec_all: 0.0551 (0.0557) loss_rec_sfr: 0.0676 (0.0752) loss_cl: -0.3675 (-0.3676) time: 0.8633 data: 0.0002 max mem: 29859 [05:41:48.103524] Epoch: [245] [160/850] eta: 0:10:13 lr: 0.001994 loss: 0.0189 (0.0195) loss_rec_all: 0.0552 (0.0557) loss_rec_sfr: 0.0736 (0.0756) loss_cl: -0.3671 (-0.3675) time: 0.8640 data: 0.0002 max mem: 29859 [05:42:05.395701] Epoch: [245] [180/850] eta: 0:09:53 lr: 0.001994 loss: 0.0200 (0.0196) loss_rec_all: 0.0559 (0.0558) loss_rec_sfr: 0.0622 (0.0758) loss_cl: -0.3667 (-0.3674) time: 0.8645 data: 0.0003 max mem: 29859 [05:42:22.746234] Epoch: [245] [200/850] eta: 0:09:34 lr: 0.001993 loss: 0.0197 (0.0197) loss_rec_all: 0.0560 (0.0559) loss_rec_sfr: 0.0809 (0.0764) loss_cl: -0.3671 (-0.3674) time: 0.8675 data: 0.0003 max mem: 29859 [05:42:39.992030] Epoch: [245] [220/850] eta: 0:09:15 lr: 0.001993 loss: 0.0194 (0.0198) loss_rec_all: 0.0557 (0.0560) loss_rec_sfr: 0.0682 (0.0767) loss_cl: -0.3677 (-0.3674) time: 0.8622 data: 0.0003 max mem: 29859 [05:42:57.288707] Epoch: [245] [240/850] eta: 0:08:57 lr: 0.001993 loss: 0.0202 (0.0198) loss_rec_all: 0.0561 (0.0560) loss_rec_sfr: 0.0869 (0.0780) loss_cl: -0.3671 (-0.3674) time: 0.8648 data: 0.0003 max mem: 29859 [05:43:14.622941] Epoch: [245] [260/850] eta: 0:08:39 lr: 0.001993 loss: 0.0188 (0.0198) loss_rec_all: 0.0548 (0.0560) loss_rec_sfr: 0.0636 (0.0779) loss_cl: -0.3673 (-0.3674) time: 0.8666 data: 0.0007 max mem: 29859 [05:43:31.912880] Epoch: [245] [280/850] eta: 0:08:20 lr: 0.001993 loss: 0.0185 (0.0197) loss_rec_all: 0.0547 (0.0559) loss_rec_sfr: 0.0632 (0.0778) loss_cl: -0.3671 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [05:43:49.194366] Epoch: [245] [300/850] eta: 0:08:02 lr: 0.001993 loss: 0.0185 (0.0197) loss_rec_all: 0.0546 (0.0559) loss_rec_sfr: 0.0597 (0.0775) loss_cl: -0.3673 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [05:44:06.574073] Epoch: [245] [320/850] eta: 0:07:44 lr: 0.001993 loss: 0.0195 (0.0197) loss_rec_all: 0.0554 (0.0559) loss_rec_sfr: 0.0773 (0.0775) loss_cl: -0.3671 (-0.3673) time: 0.8689 data: 0.0003 max mem: 29859 [05:44:23.840683] Epoch: [245] [340/850] eta: 0:07:26 lr: 0.001993 loss: 0.0219 (0.0198) loss_rec_all: 0.0579 (0.0560) loss_rec_sfr: 0.0626 (0.0773) loss_cl: -0.3672 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [05:44:41.132659] Epoch: [245] [360/850] eta: 0:07:09 lr: 0.001993 loss: 0.0200 (0.0199) loss_rec_all: 0.0559 (0.0561) loss_rec_sfr: 0.0960 (0.0781) loss_cl: -0.3679 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [05:44:58.437830] Epoch: [245] [380/850] eta: 0:06:51 lr: 0.001993 loss: 0.0194 (0.0199) loss_rec_all: 0.0557 (0.0561) loss_rec_sfr: 0.0565 (0.0780) loss_cl: -0.3677 (-0.3673) time: 0.8652 data: 0.0003 max mem: 29859 [05:45:15.777166] Epoch: [245] [400/850] eta: 0:06:33 lr: 0.001993 loss: 0.0196 (0.0200) loss_rec_all: 0.0559 (0.0561) loss_rec_sfr: 0.0687 (0.0779) loss_cl: -0.3681 (-0.3674) time: 0.8669 data: 0.0003 max mem: 29859 [05:45:33.005243] Epoch: [245] [420/850] eta: 0:06:15 lr: 0.001992 loss: 0.0199 (0.0199) loss_rec_all: 0.0562 (0.0561) loss_rec_sfr: 0.0653 (0.0778) loss_cl: -0.3675 (-0.3674) time: 0.8614 data: 0.0002 max mem: 29859 [05:45:50.335161] Epoch: [245] [440/850] eta: 0:05:58 lr: 0.001992 loss: 0.0205 (0.0200) loss_rec_all: 0.0562 (0.0562) loss_rec_sfr: 0.0856 (0.0784) loss_cl: -0.3667 (-0.3673) time: 0.8664 data: 0.0003 max mem: 29859 [05:46:07.638700] Epoch: [245] [460/850] eta: 0:05:40 lr: 0.001992 loss: 0.0200 (0.0201) loss_rec_all: 0.0559 (0.0562) loss_rec_sfr: 0.0775 (0.0785) loss_cl: -0.3666 (-0.3673) time: 0.8651 data: 0.0003 max mem: 29859 [05:46:24.938655] Epoch: [245] [480/850] eta: 0:05:23 lr: 0.001992 loss: 0.0208 (0.0201) loss_rec_all: 0.0566 (0.0563) loss_rec_sfr: 0.0777 (0.0787) loss_cl: -0.3671 (-0.3673) time: 0.8649 data: 0.0003 max mem: 29859 [05:46:42.222861] Epoch: [245] [500/850] eta: 0:05:05 lr: 0.001992 loss: 0.0181 (0.0200) loss_rec_all: 0.0545 (0.0562) loss_rec_sfr: 0.0625 (0.0784) loss_cl: -0.3679 (-0.3673) time: 0.8642 data: 0.0003 max mem: 29859 [05:46:59.622428] Epoch: [245] [520/850] eta: 0:04:47 lr: 0.001992 loss: 0.0178 (0.0200) loss_rec_all: 0.0542 (0.0562) loss_rec_sfr: 0.0575 (0.0781) loss_cl: -0.3681 (-0.3673) time: 0.8699 data: 0.0003 max mem: 29859 [05:47:16.885556] Epoch: [245] [540/850] eta: 0:04:30 lr: 0.001992 loss: 0.0184 (0.0200) loss_rec_all: 0.0547 (0.0562) loss_rec_sfr: 0.0847 (0.0782) loss_cl: -0.3680 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [05:47:34.183069] Epoch: [245] [560/850] eta: 0:04:12 lr: 0.001992 loss: 0.0180 (0.0199) loss_rec_all: 0.0544 (0.0561) loss_rec_sfr: 0.0555 (0.0778) loss_cl: -0.3668 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [05:47:51.545737] Epoch: [245] [580/850] eta: 0:03:55 lr: 0.001992 loss: 0.0179 (0.0199) loss_rec_all: 0.0541 (0.0561) loss_rec_sfr: 0.0778 (0.0777) loss_cl: -0.3665 (-0.3673) time: 0.8681 data: 0.0003 max mem: 29859 [05:48:08.862627] Epoch: [245] [600/850] eta: 0:03:37 lr: 0.001992 loss: 0.0193 (0.0199) loss_rec_all: 0.0551 (0.0561) loss_rec_sfr: 0.0819 (0.0778) loss_cl: -0.3665 (-0.3673) time: 0.8658 data: 0.0002 max mem: 29859 [05:48:26.106606] Epoch: [245] [620/850] eta: 0:03:20 lr: 0.001992 loss: 0.0193 (0.0199) loss_rec_all: 0.0553 (0.0560) loss_rec_sfr: 0.0821 (0.0780) loss_cl: -0.3669 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [05:48:43.472922] Epoch: [245] [640/850] eta: 0:03:02 lr: 0.001992 loss: 0.0186 (0.0198) loss_rec_all: 0.0550 (0.0560) loss_rec_sfr: 0.0791 (0.0779) loss_cl: -0.3675 (-0.3673) time: 0.8682 data: 0.0003 max mem: 29859 [05:49:00.780908] Epoch: [245] [660/850] eta: 0:02:45 lr: 0.001991 loss: 0.0200 (0.0199) loss_rec_all: 0.0560 (0.0560) loss_rec_sfr: 0.0845 (0.0782) loss_cl: -0.3674 (-0.3673) time: 0.8653 data: 0.0003 max mem: 29859 [05:49:18.082820] Epoch: [245] [680/850] eta: 0:02:28 lr: 0.001991 loss: 0.0193 (0.0199) loss_rec_all: 0.0555 (0.0560) loss_rec_sfr: 0.0671 (0.0781) loss_cl: -0.3678 (-0.3673) time: 0.8650 data: 0.0002 max mem: 29859 [05:49:35.407214] Epoch: [245] [700/850] eta: 0:02:10 lr: 0.001991 loss: 0.0192 (0.0198) loss_rec_all: 0.0556 (0.0560) loss_rec_sfr: 0.0636 (0.0782) loss_cl: -0.3681 (-0.3673) time: 0.8661 data: 0.0010 max mem: 29859 [05:49:52.761318] Epoch: [245] [720/850] eta: 0:01:53 lr: 0.001991 loss: 0.0180 (0.0198) loss_rec_all: 0.0542 (0.0560) loss_rec_sfr: 0.0599 (0.0781) loss_cl: -0.3678 (-0.3673) time: 0.8676 data: 0.0003 max mem: 29859 [05:50:10.026869] Epoch: [245] [740/850] eta: 0:01:35 lr: 0.001991 loss: 0.0206 (0.0199) loss_rec_all: 0.0569 (0.0561) loss_rec_sfr: 0.0821 (0.0782) loss_cl: -0.3675 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [05:50:27.376986] Epoch: [245] [760/850] eta: 0:01:18 lr: 0.001991 loss: 0.0198 (0.0199) loss_rec_all: 0.0560 (0.0561) loss_rec_sfr: 0.0839 (0.0783) loss_cl: -0.3672 (-0.3673) time: 0.8674 data: 0.0003 max mem: 29859 [05:50:44.701775] Epoch: [245] [780/850] eta: 0:01:00 lr: 0.001991 loss: 0.0192 (0.0199) loss_rec_all: 0.0554 (0.0561) loss_rec_sfr: 0.0676 (0.0783) loss_cl: -0.3673 (-0.3673) time: 0.8662 data: 0.0003 max mem: 29859 [05:51:01.989726] Epoch: [245] [800/850] eta: 0:00:43 lr: 0.001991 loss: 0.0208 (0.0199) loss_rec_all: 0.0568 (0.0561) loss_rec_sfr: 0.0883 (0.0787) loss_cl: -0.3672 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [05:51:19.248204] Epoch: [245] [820/850] eta: 0:00:26 lr: 0.001991 loss: 0.0205 (0.0199) loss_rec_all: 0.0570 (0.0561) loss_rec_sfr: 0.0768 (0.0788) loss_cl: -0.3674 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [05:51:36.655380] Epoch: [245] [840/850] eta: 0:00:08 lr: 0.001991 loss: 0.0208 (0.0199) loss_rec_all: 0.0568 (0.0561) loss_rec_sfr: 0.0616 (0.0789) loss_cl: -0.3676 (-0.3673) time: 0.8703 data: 0.0007 max mem: 29859 [05:51:44.413618] Epoch: [245] [849/850] eta: 0:00:00 lr: 0.001991 loss: 0.0222 (0.0200) loss_rec_all: 0.0580 (0.0562) loss_rec_sfr: 0.0815 (0.0790) loss_cl: -0.3678 (-0.3673) time: 0.8677 data: 0.0007 max mem: 29859 [05:51:44.553058] Epoch: [245] Total time: 0:12:19 (0.8701 s / it) [05:51:44.555590] Averaged stats: lr: 0.001991 loss: 0.0222 (0.0199) loss_rec_all: 0.0580 (0.0561) loss_rec_sfr: 0.0815 (0.0791) loss_cl: -0.3678 (-0.3673) [05:51:44.568802] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [05:51:48.903897] Epoch: [246] [ 0/850] eta: 1:01:23 lr: 0.001991 loss: 0.0199 (0.0199) loss_rec_all: 0.0562 (0.0562) loss_rec_sfr: 0.0530 (0.0530) loss_cl: -0.3671 (-0.3671) time: 4.3341 data: 3.4754 max mem: 29859 [05:52:06.110631] Epoch: [246] [ 20/850] eta: 0:14:11 lr: 0.001991 loss: 0.0198 (0.0200) loss_rec_all: 0.0558 (0.0561) loss_rec_sfr: 0.0670 (0.0857) loss_cl: -0.3675 (-0.3675) time: 0.8603 data: 0.0003 max mem: 29859 [05:52:23.505075] Epoch: [246] [ 40/850] eta: 0:12:49 lr: 0.001990 loss: 0.0189 (0.0198) loss_rec_all: 0.0553 (0.0560) loss_rec_sfr: 0.0640 (0.0814) loss_cl: -0.3676 (-0.3674) time: 0.8696 data: 0.0003 max mem: 29859 [05:52:40.776587] Epoch: [246] [ 60/850] eta: 0:12:07 lr: 0.001990 loss: 0.0183 (0.0196) loss_rec_all: 0.0545 (0.0558) loss_rec_sfr: 0.0650 (0.0795) loss_cl: -0.3671 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [05:52:58.064252] Epoch: [246] [ 80/850] eta: 0:11:38 lr: 0.001990 loss: 0.0180 (0.0194) loss_rec_all: 0.0544 (0.0555) loss_rec_sfr: 0.0620 (0.0792) loss_cl: -0.3673 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [05:53:15.380383] Epoch: [246] [100/850] eta: 0:11:14 lr: 0.001990 loss: 0.0181 (0.0193) loss_rec_all: 0.0543 (0.0555) loss_rec_sfr: 0.0622 (0.0790) loss_cl: -0.3671 (-0.3672) time: 0.8657 data: 0.0003 max mem: 29859 [05:53:32.736170] Epoch: [246] [120/850] eta: 0:10:52 lr: 0.001990 loss: 0.0183 (0.0193) loss_rec_all: 0.0542 (0.0554) loss_rec_sfr: 0.0594 (0.0784) loss_cl: -0.3670 (-0.3672) time: 0.8677 data: 0.0002 max mem: 29859 [05:53:50.011246] Epoch: [246] [140/850] eta: 0:10:31 lr: 0.001990 loss: 0.0193 (0.0193) loss_rec_all: 0.0556 (0.0555) loss_rec_sfr: 0.0624 (0.0784) loss_cl: -0.3670 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [05:54:07.334809] Epoch: [246] [160/850] eta: 0:10:11 lr: 0.001990 loss: 0.0192 (0.0193) loss_rec_all: 0.0553 (0.0555) loss_rec_sfr: 0.0843 (0.0791) loss_cl: -0.3676 (-0.3672) time: 0.8658 data: 0.0002 max mem: 29859 [05:54:24.673869] Epoch: [246] [180/850] eta: 0:09:52 lr: 0.001990 loss: 0.0197 (0.0194) loss_rec_all: 0.0558 (0.0556) loss_rec_sfr: 0.0854 (0.0802) loss_cl: -0.3676 (-0.3673) time: 0.8669 data: 0.0005 max mem: 29859 [05:54:41.960673] Epoch: [246] [200/850] eta: 0:09:33 lr: 0.001990 loss: 0.0191 (0.0194) loss_rec_all: 0.0552 (0.0556) loss_rec_sfr: 0.0835 (0.0804) loss_cl: -0.3674 (-0.3672) time: 0.8643 data: 0.0003 max mem: 29859 [05:54:59.218798] Epoch: [246] [220/850] eta: 0:09:14 lr: 0.001990 loss: 0.0189 (0.0195) loss_rec_all: 0.0551 (0.0556) loss_rec_sfr: 0.0636 (0.0803) loss_cl: -0.3670 (-0.3672) time: 0.8629 data: 0.0003 max mem: 29859 [05:55:16.608645] Epoch: [246] [240/850] eta: 0:08:56 lr: 0.001990 loss: 0.0186 (0.0195) loss_rec_all: 0.0549 (0.0556) loss_rec_sfr: 0.0613 (0.0797) loss_cl: -0.3673 (-0.3672) time: 0.8694 data: 0.0003 max mem: 29859 [05:55:33.867612] Epoch: [246] [260/850] eta: 0:08:38 lr: 0.001989 loss: 0.0184 (0.0195) loss_rec_all: 0.0545 (0.0556) loss_rec_sfr: 0.0646 (0.0793) loss_cl: -0.3677 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [05:55:51.187259] Epoch: [246] [280/850] eta: 0:08:20 lr: 0.001989 loss: 0.0197 (0.0195) loss_rec_all: 0.0556 (0.0556) loss_rec_sfr: 0.0826 (0.0795) loss_cl: -0.3672 (-0.3672) time: 0.8659 data: 0.0006 max mem: 29859 [05:56:08.538839] Epoch: [246] [300/850] eta: 0:08:02 lr: 0.001989 loss: 0.0190 (0.0194) loss_rec_all: 0.0551 (0.0556) loss_rec_sfr: 0.0726 (0.0797) loss_cl: -0.3669 (-0.3672) time: 0.8675 data: 0.0004 max mem: 29859 [05:56:25.850625] Epoch: [246] [320/850] eta: 0:07:44 lr: 0.001989 loss: 0.0178 (0.0193) loss_rec_all: 0.0542 (0.0555) loss_rec_sfr: 0.0548 (0.0787) loss_cl: -0.3670 (-0.3672) time: 0.8655 data: 0.0002 max mem: 29859 [05:56:43.110177] Epoch: [246] [340/850] eta: 0:07:26 lr: 0.001989 loss: 0.0179 (0.0193) loss_rec_all: 0.0542 (0.0555) loss_rec_sfr: 0.0603 (0.0784) loss_cl: -0.3668 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [05:57:00.461305] Epoch: [246] [360/850] eta: 0:07:08 lr: 0.001989 loss: 0.0189 (0.0193) loss_rec_all: 0.0549 (0.0555) loss_rec_sfr: 0.0616 (0.0787) loss_cl: -0.3678 (-0.3672) time: 0.8673 data: 0.0003 max mem: 29859 [05:57:17.766772] Epoch: [246] [380/850] eta: 0:06:50 lr: 0.001989 loss: 0.0175 (0.0192) loss_rec_all: 0.0539 (0.0554) loss_rec_sfr: 0.0563 (0.0780) loss_cl: -0.3679 (-0.3672) time: 0.8652 data: 0.0003 max mem: 29859 [05:57:35.063441] Epoch: [246] [400/850] eta: 0:06:33 lr: 0.001989 loss: 0.0203 (0.0193) loss_rec_all: 0.0565 (0.0555) loss_rec_sfr: 0.0793 (0.0787) loss_cl: -0.3677 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [05:57:52.334122] Epoch: [246] [420/850] eta: 0:06:15 lr: 0.001989 loss: 0.0190 (0.0193) loss_rec_all: 0.0550 (0.0555) loss_rec_sfr: 0.0860 (0.0790) loss_cl: -0.3672 (-0.3673) time: 0.8635 data: 0.0003 max mem: 29859 [05:58:09.739110] Epoch: [246] [440/850] eta: 0:05:58 lr: 0.001989 loss: 0.0213 (0.0194) loss_rec_all: 0.0574 (0.0556) loss_rec_sfr: 0.0789 (0.0791) loss_cl: -0.3673 (-0.3673) time: 0.8702 data: 0.0003 max mem: 29859 [05:58:26.997056] Epoch: [246] [460/850] eta: 0:05:40 lr: 0.001989 loss: 0.0186 (0.0194) loss_rec_all: 0.0550 (0.0555) loss_rec_sfr: 0.0537 (0.0786) loss_cl: -0.3677 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [05:58:44.304546] Epoch: [246] [480/850] eta: 0:05:22 lr: 0.001988 loss: 0.0194 (0.0194) loss_rec_all: 0.0556 (0.0556) loss_rec_sfr: 0.0797 (0.0786) loss_cl: -0.3678 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [05:59:01.633223] Epoch: [246] [500/850] eta: 0:05:05 lr: 0.001988 loss: 0.0185 (0.0194) loss_rec_all: 0.0548 (0.0556) loss_rec_sfr: 0.0632 (0.0787) loss_cl: -0.3675 (-0.3673) time: 0.8664 data: 0.0003 max mem: 29859 [05:59:18.937181] Epoch: [246] [520/850] eta: 0:04:47 lr: 0.001988 loss: 0.0181 (0.0194) loss_rec_all: 0.0543 (0.0556) loss_rec_sfr: 0.0600 (0.0784) loss_cl: -0.3673 (-0.3673) time: 0.8652 data: 0.0002 max mem: 29859 [05:59:36.198950] Epoch: [246] [540/850] eta: 0:04:30 lr: 0.001988 loss: 0.0188 (0.0194) loss_rec_all: 0.0549 (0.0556) loss_rec_sfr: 0.0636 (0.0782) loss_cl: -0.3664 (-0.3673) time: 0.8630 data: 0.0003 max mem: 29859 [05:59:53.558372] Epoch: [246] [560/850] eta: 0:04:12 lr: 0.001988 loss: 0.0182 (0.0194) loss_rec_all: 0.0545 (0.0555) loss_rec_sfr: 0.0755 (0.0784) loss_cl: -0.3667 (-0.3672) time: 0.8679 data: 0.0003 max mem: 29859 [06:00:10.824822] Epoch: [246] [580/850] eta: 0:03:55 lr: 0.001988 loss: 0.0196 (0.0194) loss_rec_all: 0.0555 (0.0556) loss_rec_sfr: 0.0833 (0.0787) loss_cl: -0.3672 (-0.3672) time: 0.8633 data: 0.0003 max mem: 29859 [06:00:28.103919] Epoch: [246] [600/850] eta: 0:03:37 lr: 0.001988 loss: 0.0186 (0.0194) loss_rec_all: 0.0549 (0.0555) loss_rec_sfr: 0.0779 (0.0788) loss_cl: -0.3673 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [06:00:45.378710] Epoch: [246] [620/850] eta: 0:03:20 lr: 0.001988 loss: 0.0202 (0.0194) loss_rec_all: 0.0566 (0.0556) loss_rec_sfr: 0.0687 (0.0788) loss_cl: -0.3675 (-0.3672) time: 0.8637 data: 0.0003 max mem: 29859 [06:01:02.736165] Epoch: [246] [640/850] eta: 0:03:02 lr: 0.001988 loss: 0.0179 (0.0194) loss_rec_all: 0.0544 (0.0556) loss_rec_sfr: 0.0624 (0.0785) loss_cl: -0.3678 (-0.3673) time: 0.8678 data: 0.0004 max mem: 29859 [06:01:19.987808] Epoch: [246] [660/850] eta: 0:02:45 lr: 0.001988 loss: 0.0180 (0.0194) loss_rec_all: 0.0544 (0.0556) loss_rec_sfr: 0.0659 (0.0785) loss_cl: -0.3674 (-0.3673) time: 0.8625 data: 0.0004 max mem: 29859 [06:01:37.319808] Epoch: [246] [680/850] eta: 0:02:27 lr: 0.001988 loss: 0.0182 (0.0194) loss_rec_all: 0.0546 (0.0556) loss_rec_sfr: 0.0564 (0.0784) loss_cl: -0.3674 (-0.3673) time: 0.8665 data: 0.0003 max mem: 29859 [06:01:54.667949] Epoch: [246] [700/850] eta: 0:02:10 lr: 0.001988 loss: 0.0182 (0.0194) loss_rec_all: 0.0545 (0.0555) loss_rec_sfr: 0.0642 (0.0784) loss_cl: -0.3674 (-0.3673) time: 0.8673 data: 0.0003 max mem: 29859 [06:02:11.965348] Epoch: [246] [720/850] eta: 0:01:53 lr: 0.001987 loss: 0.0179 (0.0194) loss_rec_all: 0.0541 (0.0555) loss_rec_sfr: 0.0553 (0.0782) loss_cl: -0.3672 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [06:02:29.217045] Epoch: [246] [740/850] eta: 0:01:35 lr: 0.001987 loss: 0.0197 (0.0194) loss_rec_all: 0.0557 (0.0556) loss_rec_sfr: 0.0827 (0.0784) loss_cl: -0.3662 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [06:02:46.602736] Epoch: [246] [760/850] eta: 0:01:18 lr: 0.001987 loss: 0.0206 (0.0194) loss_rec_all: 0.0568 (0.0556) loss_rec_sfr: 0.0806 (0.0786) loss_cl: -0.3657 (-0.3672) time: 0.8692 data: 0.0003 max mem: 29859 [06:03:03.845205] Epoch: [246] [780/850] eta: 0:01:00 lr: 0.001987 loss: 0.0189 (0.0194) loss_rec_all: 0.0551 (0.0556) loss_rec_sfr: 0.0674 (0.0786) loss_cl: -0.3667 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [06:03:21.132284] Epoch: [246] [800/850] eta: 0:00:43 lr: 0.001987 loss: 0.0196 (0.0194) loss_rec_all: 0.0557 (0.0556) loss_rec_sfr: 0.0693 (0.0786) loss_cl: -0.3674 (-0.3672) time: 0.8643 data: 0.0002 max mem: 29859 [06:03:38.464500] Epoch: [246] [820/850] eta: 0:00:26 lr: 0.001987 loss: 0.0196 (0.0194) loss_rec_all: 0.0556 (0.0556) loss_rec_sfr: 0.0777 (0.0787) loss_cl: -0.3679 (-0.3672) time: 0.8665 data: 0.0003 max mem: 29859 [06:03:55.785093] Epoch: [246] [840/850] eta: 0:00:08 lr: 0.001987 loss: 0.0182 (0.0194) loss_rec_all: 0.0545 (0.0556) loss_rec_sfr: 0.0630 (0.0787) loss_cl: -0.3683 (-0.3672) time: 0.8660 data: 0.0006 max mem: 29859 [06:04:03.543250] Epoch: [246] [849/850] eta: 0:00:00 lr: 0.001987 loss: 0.0183 (0.0194) loss_rec_all: 0.0548 (0.0556) loss_rec_sfr: 0.0663 (0.0786) loss_cl: -0.3683 (-0.3672) time: 0.8646 data: 0.0005 max mem: 29859 [06:04:03.688015] Epoch: [246] Total time: 0:12:19 (0.8696 s / it) [06:04:03.690551] Averaged stats: lr: 0.001987 loss: 0.0183 (0.0194) loss_rec_all: 0.0548 (0.0556) loss_rec_sfr: 0.0663 (0.0790) loss_cl: -0.3683 (-0.3673) [06:04:03.703557] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [06:04:07.688203] Epoch: [247] [ 0/850] eta: 0:56:26 lr: 0.001987 loss: 0.0184 (0.0184) loss_rec_all: 0.0548 (0.0548) loss_rec_sfr: 0.0503 (0.0503) loss_cl: -0.3681 (-0.3681) time: 3.9838 data: 3.1272 max mem: 29859 [06:04:24.913661] Epoch: [247] [ 20/850] eta: 0:13:58 lr: 0.001987 loss: 0.0217 (0.0232) loss_rec_all: 0.0579 (0.0595) loss_rec_sfr: 0.0916 (0.0850) loss_cl: -0.3684 (-0.3682) time: 0.8612 data: 0.0003 max mem: 29859 [06:04:42.285813] Epoch: [247] [ 40/850] eta: 0:12:42 lr: 0.001987 loss: 0.0217 (0.0233) loss_rec_all: 0.0580 (0.0595) loss_rec_sfr: 0.0646 (0.0845) loss_cl: -0.3681 (-0.3682) time: 0.8685 data: 0.0003 max mem: 29859 [06:04:59.519663] Epoch: [247] [ 60/850] eta: 0:12:02 lr: 0.001987 loss: 0.0227 (0.0238) loss_rec_all: 0.0589 (0.0600) loss_rec_sfr: 0.0947 (0.0859) loss_cl: -0.3674 (-0.3679) time: 0.8616 data: 0.0002 max mem: 29859 [06:05:16.795622] Epoch: [247] [ 80/850] eta: 0:11:34 lr: 0.001987 loss: 0.0214 (0.0237) loss_rec_all: 0.0575 (0.0599) loss_rec_sfr: 0.0928 (0.0861) loss_cl: -0.3674 (-0.3677) time: 0.8637 data: 0.0002 max mem: 29859 [06:05:34.098366] Epoch: [247] [100/850] eta: 0:11:11 lr: 0.001986 loss: 0.0204 (0.0233) loss_rec_all: 0.0565 (0.0595) loss_rec_sfr: 0.0598 (0.0836) loss_cl: -0.3674 (-0.3677) time: 0.8651 data: 0.0003 max mem: 29859 [06:05:51.391214] Epoch: [247] [120/850] eta: 0:10:49 lr: 0.001986 loss: 0.0199 (0.0230) loss_rec_all: 0.0563 (0.0592) loss_rec_sfr: 0.0887 (0.0844) loss_cl: -0.3676 (-0.3676) time: 0.8646 data: 0.0002 max mem: 29859 [06:06:08.640824] Epoch: [247] [140/850] eta: 0:10:29 lr: 0.001986 loss: 0.0195 (0.0227) loss_rec_all: 0.0558 (0.0589) loss_rec_sfr: 0.0612 (0.0832) loss_cl: -0.3680 (-0.3677) time: 0.8624 data: 0.0002 max mem: 29859 [06:06:25.994467] Epoch: [247] [160/850] eta: 0:10:09 lr: 0.001986 loss: 0.0193 (0.0224) loss_rec_all: 0.0555 (0.0586) loss_rec_sfr: 0.0644 (0.0827) loss_cl: -0.3671 (-0.3676) time: 0.8676 data: 0.0003 max mem: 29859 [06:06:43.281515] Epoch: [247] [180/850] eta: 0:09:50 lr: 0.001986 loss: 0.0191 (0.0221) loss_rec_all: 0.0553 (0.0583) loss_rec_sfr: 0.0848 (0.0825) loss_cl: -0.3667 (-0.3675) time: 0.8643 data: 0.0003 max mem: 29859 [06:07:00.594573] Epoch: [247] [200/850] eta: 0:09:31 lr: 0.001986 loss: 0.0182 (0.0218) loss_rec_all: 0.0544 (0.0579) loss_rec_sfr: 0.0612 (0.0814) loss_cl: -0.3665 (-0.3674) time: 0.8656 data: 0.0009 max mem: 29859 [06:07:17.903140] Epoch: [247] [220/850] eta: 0:09:13 lr: 0.001986 loss: 0.0179 (0.0215) loss_rec_all: 0.0542 (0.0577) loss_rec_sfr: 0.0599 (0.0807) loss_cl: -0.3668 (-0.3674) time: 0.8653 data: 0.0007 max mem: 29859 [06:07:35.271080] Epoch: [247] [240/850] eta: 0:08:55 lr: 0.001986 loss: 0.0181 (0.0213) loss_rec_all: 0.0540 (0.0575) loss_rec_sfr: 0.0774 (0.0807) loss_cl: -0.3674 (-0.3674) time: 0.8683 data: 0.0003 max mem: 29859 [06:07:52.540278] Epoch: [247] [260/850] eta: 0:08:37 lr: 0.001986 loss: 0.0178 (0.0211) loss_rec_all: 0.0541 (0.0573) loss_rec_sfr: 0.0618 (0.0803) loss_cl: -0.3674 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [06:08:09.864579] Epoch: [247] [280/850] eta: 0:08:19 lr: 0.001986 loss: 0.0166 (0.0208) loss_rec_all: 0.0529 (0.0570) loss_rec_sfr: 0.0584 (0.0797) loss_cl: -0.3670 (-0.3674) time: 0.8662 data: 0.0003 max mem: 29859 [06:08:27.192138] Epoch: [247] [300/850] eta: 0:08:01 lr: 0.001986 loss: 0.0181 (0.0207) loss_rec_all: 0.0542 (0.0569) loss_rec_sfr: 0.0791 (0.0798) loss_cl: -0.3669 (-0.3673) time: 0.8663 data: 0.0003 max mem: 29859 [06:08:44.479698] Epoch: [247] [320/850] eta: 0:07:43 lr: 0.001985 loss: 0.0168 (0.0205) loss_rec_all: 0.0529 (0.0567) loss_rec_sfr: 0.0546 (0.0795) loss_cl: -0.3675 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [06:09:01.732195] Epoch: [247] [340/850] eta: 0:07:25 lr: 0.001985 loss: 0.0185 (0.0204) loss_rec_all: 0.0546 (0.0566) loss_rec_sfr: 0.0773 (0.0794) loss_cl: -0.3678 (-0.3674) time: 0.8626 data: 0.0003 max mem: 29859 [06:09:19.104398] Epoch: [247] [360/850] eta: 0:07:08 lr: 0.001985 loss: 0.0188 (0.0203) loss_rec_all: 0.0549 (0.0565) loss_rec_sfr: 0.0792 (0.0795) loss_cl: -0.3676 (-0.3674) time: 0.8685 data: 0.0003 max mem: 29859 [06:09:36.348110] Epoch: [247] [380/850] eta: 0:06:50 lr: 0.001985 loss: 0.0173 (0.0202) loss_rec_all: 0.0534 (0.0563) loss_rec_sfr: 0.0592 (0.0792) loss_cl: -0.3674 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [06:09:53.630234] Epoch: [247] [400/850] eta: 0:06:32 lr: 0.001985 loss: 0.0176 (0.0201) loss_rec_all: 0.0539 (0.0562) loss_rec_sfr: 0.0583 (0.0790) loss_cl: -0.3670 (-0.3673) time: 0.8641 data: 0.0003 max mem: 29859 [06:10:10.974870] Epoch: [247] [420/850] eta: 0:06:15 lr: 0.001985 loss: 0.0185 (0.0200) loss_rec_all: 0.0548 (0.0562) loss_rec_sfr: 0.0553 (0.0786) loss_cl: -0.3672 (-0.3673) time: 0.8672 data: 0.0003 max mem: 29859 [06:10:28.301118] Epoch: [247] [440/850] eta: 0:05:57 lr: 0.001985 loss: 0.0206 (0.0201) loss_rec_all: 0.0564 (0.0563) loss_rec_sfr: 0.0842 (0.0792) loss_cl: -0.3673 (-0.3673) time: 0.8663 data: 0.0002 max mem: 29859 [06:10:45.556245] Epoch: [247] [460/850] eta: 0:05:39 lr: 0.001985 loss: 0.0198 (0.0201) loss_rec_all: 0.0558 (0.0563) loss_rec_sfr: 0.0862 (0.0796) loss_cl: -0.3676 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [06:11:02.920157] Epoch: [247] [480/850] eta: 0:05:22 lr: 0.001985 loss: 0.0181 (0.0200) loss_rec_all: 0.0544 (0.0562) loss_rec_sfr: 0.0657 (0.0796) loss_cl: -0.3676 (-0.3674) time: 0.8681 data: 0.0003 max mem: 29859 [06:11:20.213769] Epoch: [247] [500/850] eta: 0:05:04 lr: 0.001985 loss: 0.0192 (0.0200) loss_rec_all: 0.0555 (0.0562) loss_rec_sfr: 0.0737 (0.0796) loss_cl: -0.3671 (-0.3673) time: 0.8646 data: 0.0003 max mem: 29859 [06:11:37.513737] Epoch: [247] [520/850] eta: 0:04:47 lr: 0.001985 loss: 0.0190 (0.0200) loss_rec_all: 0.0550 (0.0562) loss_rec_sfr: 0.0781 (0.0797) loss_cl: -0.3670 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [06:11:54.774524] Epoch: [247] [540/850] eta: 0:04:29 lr: 0.001984 loss: 0.0181 (0.0199) loss_rec_all: 0.0543 (0.0561) loss_rec_sfr: 0.0542 (0.0792) loss_cl: -0.3668 (-0.3673) time: 0.8630 data: 0.0003 max mem: 29859 [06:12:12.120501] Epoch: [247] [560/850] eta: 0:04:12 lr: 0.001984 loss: 0.0179 (0.0198) loss_rec_all: 0.0542 (0.0560) loss_rec_sfr: 0.0582 (0.0787) loss_cl: -0.3672 (-0.3673) time: 0.8672 data: 0.0004 max mem: 29859 [06:12:29.371321] Epoch: [247] [580/850] eta: 0:03:54 lr: 0.001984 loss: 0.0176 (0.0198) loss_rec_all: 0.0538 (0.0560) loss_rec_sfr: 0.0616 (0.0787) loss_cl: -0.3674 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [06:12:46.680922] Epoch: [247] [600/850] eta: 0:03:37 lr: 0.001984 loss: 0.0179 (0.0198) loss_rec_all: 0.0540 (0.0560) loss_rec_sfr: 0.0636 (0.0785) loss_cl: -0.3676 (-0.3673) time: 0.8654 data: 0.0003 max mem: 29859 [06:13:04.003649] Epoch: [247] [620/850] eta: 0:03:20 lr: 0.001984 loss: 0.0185 (0.0198) loss_rec_all: 0.0549 (0.0560) loss_rec_sfr: 0.0615 (0.0784) loss_cl: -0.3677 (-0.3673) time: 0.8661 data: 0.0003 max mem: 29859 [06:13:21.300238] Epoch: [247] [640/850] eta: 0:03:02 lr: 0.001984 loss: 0.0190 (0.0198) loss_rec_all: 0.0554 (0.0560) loss_rec_sfr: 0.0624 (0.0782) loss_cl: -0.3679 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [06:13:38.545866] Epoch: [247] [660/850] eta: 0:02:45 lr: 0.001984 loss: 0.0195 (0.0198) loss_rec_all: 0.0556 (0.0560) loss_rec_sfr: 0.0655 (0.0782) loss_cl: -0.3677 (-0.3674) time: 0.8622 data: 0.0003 max mem: 29859 [06:13:55.919922] Epoch: [247] [680/850] eta: 0:02:27 lr: 0.001984 loss: 0.0202 (0.0198) loss_rec_all: 0.0563 (0.0560) loss_rec_sfr: 0.0999 (0.0786) loss_cl: -0.3679 (-0.3674) time: 0.8686 data: 0.0004 max mem: 29859 [06:14:13.190014] Epoch: [247] [700/850] eta: 0:02:10 lr: 0.001984 loss: 0.0194 (0.0198) loss_rec_all: 0.0556 (0.0560) loss_rec_sfr: 0.0616 (0.0786) loss_cl: -0.3678 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [06:14:30.508912] Epoch: [247] [720/850] eta: 0:01:53 lr: 0.001984 loss: 0.0210 (0.0198) loss_rec_all: 0.0569 (0.0560) loss_rec_sfr: 0.0851 (0.0790) loss_cl: -0.3678 (-0.3674) time: 0.8659 data: 0.0002 max mem: 29859 [06:14:47.800804] Epoch: [247] [740/850] eta: 0:01:35 lr: 0.001984 loss: 0.0210 (0.0199) loss_rec_all: 0.0571 (0.0561) loss_rec_sfr: 0.0802 (0.0793) loss_cl: -0.3674 (-0.3674) time: 0.8645 data: 0.0003 max mem: 29859 [06:15:05.095840] Epoch: [247] [760/850] eta: 0:01:18 lr: 0.001984 loss: 0.0186 (0.0199) loss_rec_all: 0.0549 (0.0560) loss_rec_sfr: 0.0560 (0.0791) loss_cl: -0.3671 (-0.3674) time: 0.8647 data: 0.0002 max mem: 29859 [06:15:22.321017] Epoch: [247] [780/850] eta: 0:01:00 lr: 0.001983 loss: 0.0189 (0.0199) loss_rec_all: 0.0549 (0.0560) loss_rec_sfr: 0.0595 (0.0791) loss_cl: -0.3674 (-0.3674) time: 0.8612 data: 0.0002 max mem: 29859 [06:15:39.675080] Epoch: [247] [800/850] eta: 0:00:43 lr: 0.001983 loss: 0.0187 (0.0198) loss_rec_all: 0.0547 (0.0560) loss_rec_sfr: 0.0641 (0.0790) loss_cl: -0.3672 (-0.3674) time: 0.8676 data: 0.0004 max mem: 29859 [06:15:56.979262] Epoch: [247] [820/850] eta: 0:00:26 lr: 0.001983 loss: 0.0166 (0.0198) loss_rec_all: 0.0529 (0.0560) loss_rec_sfr: 0.0559 (0.0787) loss_cl: -0.3671 (-0.3674) time: 0.8651 data: 0.0003 max mem: 29859 [06:16:14.281676] Epoch: [247] [840/850] eta: 0:00:08 lr: 0.001983 loss: 0.0176 (0.0197) loss_rec_all: 0.0539 (0.0559) loss_rec_sfr: 0.0544 (0.0784) loss_cl: -0.3671 (-0.3674) time: 0.8651 data: 0.0011 max mem: 29859 [06:16:22.042363] Epoch: [247] [849/850] eta: 0:00:00 lr: 0.001983 loss: 0.0168 (0.0197) loss_rec_all: 0.0533 (0.0559) loss_rec_sfr: 0.0549 (0.0783) loss_cl: -0.3670 (-0.3674) time: 0.8648 data: 0.0011 max mem: 29859 [06:16:22.182897] Epoch: [247] Total time: 0:12:18 (0.8688 s / it) [06:16:22.184684] Averaged stats: lr: 0.001983 loss: 0.0168 (0.0198) loss_rec_all: 0.0533 (0.0560) loss_rec_sfr: 0.0549 (0.0794) loss_cl: -0.3670 (-0.3673) [06:16:22.191276] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [06:16:26.494520] Epoch: [248] [ 0/850] eta: 1:00:56 lr: 0.001983 loss: 0.0169 (0.0169) loss_rec_all: 0.0533 (0.0533) loss_rec_sfr: 0.0542 (0.0542) loss_cl: -0.3674 (-0.3674) time: 4.3023 data: 3.4447 max mem: 29859 [06:16:43.817733] Epoch: [248] [ 20/850] eta: 0:14:14 lr: 0.001983 loss: 0.0167 (0.0174) loss_rec_all: 0.0529 (0.0536) loss_rec_sfr: 0.0561 (0.0682) loss_cl: -0.3676 (-0.3674) time: 0.8660 data: 0.0004 max mem: 29859 [06:17:01.118848] Epoch: [248] [ 40/850] eta: 0:12:48 lr: 0.001983 loss: 0.0171 (0.0174) loss_rec_all: 0.0534 (0.0537) loss_rec_sfr: 0.0560 (0.0700) loss_cl: -0.3678 (-0.3676) time: 0.8650 data: 0.0003 max mem: 29859 [06:17:18.377323] Epoch: [248] [ 60/850] eta: 0:12:07 lr: 0.001983 loss: 0.0184 (0.0180) loss_rec_all: 0.0546 (0.0542) loss_rec_sfr: 0.0791 (0.0736) loss_cl: -0.3673 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [06:17:35.713399] Epoch: [248] [ 80/850] eta: 0:11:38 lr: 0.001983 loss: 0.0190 (0.0185) loss_rec_all: 0.0549 (0.0547) loss_rec_sfr: 0.0799 (0.0756) loss_cl: -0.3673 (-0.3674) time: 0.8667 data: 0.0003 max mem: 29859 [06:17:52.991420] Epoch: [248] [100/850] eta: 0:11:14 lr: 0.001983 loss: 0.0190 (0.0188) loss_rec_all: 0.0552 (0.0550) loss_rec_sfr: 0.0786 (0.0753) loss_cl: -0.3676 (-0.3674) time: 0.8638 data: 0.0003 max mem: 29859 [06:18:10.279180] Epoch: [248] [120/850] eta: 0:10:52 lr: 0.001983 loss: 0.0180 (0.0189) loss_rec_all: 0.0542 (0.0551) loss_rec_sfr: 0.0787 (0.0767) loss_cl: -0.3676 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [06:18:27.566569] Epoch: [248] [140/850] eta: 0:10:31 lr: 0.001983 loss: 0.0176 (0.0188) loss_rec_all: 0.0539 (0.0550) loss_rec_sfr: 0.0602 (0.0771) loss_cl: -0.3673 (-0.3674) time: 0.8643 data: 0.0003 max mem: 29859 [06:18:44.948393] Epoch: [248] [160/850] eta: 0:10:11 lr: 0.001982 loss: 0.0195 (0.0190) loss_rec_all: 0.0554 (0.0552) loss_rec_sfr: 0.0857 (0.0786) loss_cl: -0.3675 (-0.3674) time: 0.8690 data: 0.0004 max mem: 29859 [06:19:02.203649] Epoch: [248] [180/850] eta: 0:09:52 lr: 0.001982 loss: 0.0187 (0.0191) loss_rec_all: 0.0550 (0.0553) loss_rec_sfr: 0.0815 (0.0792) loss_cl: -0.3675 (-0.3674) time: 0.8627 data: 0.0003 max mem: 29859 [06:19:19.548079] Epoch: [248] [200/850] eta: 0:09:33 lr: 0.001982 loss: 0.0193 (0.0192) loss_rec_all: 0.0553 (0.0554) loss_rec_sfr: 0.0801 (0.0797) loss_cl: -0.3676 (-0.3674) time: 0.8672 data: 0.0009 max mem: 29859 [06:19:36.910479] Epoch: [248] [220/850] eta: 0:09:15 lr: 0.001982 loss: 0.0195 (0.0193) loss_rec_all: 0.0555 (0.0555) loss_rec_sfr: 0.0641 (0.0793) loss_cl: -0.3672 (-0.3674) time: 0.8681 data: 0.0003 max mem: 29859 [06:19:54.213601] Epoch: [248] [240/850] eta: 0:08:56 lr: 0.001982 loss: 0.0184 (0.0193) loss_rec_all: 0.0547 (0.0555) loss_rec_sfr: 0.0612 (0.0788) loss_cl: -0.3669 (-0.3673) time: 0.8651 data: 0.0002 max mem: 29859 [06:20:11.440877] Epoch: [248] [260/850] eta: 0:08:38 lr: 0.001982 loss: 0.0172 (0.0193) loss_rec_all: 0.0534 (0.0555) loss_rec_sfr: 0.0631 (0.0784) loss_cl: -0.3675 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [06:20:28.858493] Epoch: [248] [280/850] eta: 0:08:20 lr: 0.001982 loss: 0.0190 (0.0193) loss_rec_all: 0.0550 (0.0555) loss_rec_sfr: 0.0814 (0.0790) loss_cl: -0.3673 (-0.3673) time: 0.8708 data: 0.0005 max mem: 29859 [06:20:46.150031] Epoch: [248] [300/850] eta: 0:08:02 lr: 0.001982 loss: 0.0181 (0.0193) loss_rec_all: 0.0545 (0.0554) loss_rec_sfr: 0.0598 (0.0787) loss_cl: -0.3674 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [06:21:03.440285] Epoch: [248] [320/850] eta: 0:07:44 lr: 0.001982 loss: 0.0194 (0.0193) loss_rec_all: 0.0553 (0.0555) loss_rec_sfr: 0.0839 (0.0788) loss_cl: -0.3679 (-0.3674) time: 0.8644 data: 0.0002 max mem: 29859 [06:21:20.758762] Epoch: [248] [340/850] eta: 0:07:26 lr: 0.001982 loss: 0.0179 (0.0193) loss_rec_all: 0.0540 (0.0555) loss_rec_sfr: 0.0562 (0.0782) loss_cl: -0.3673 (-0.3674) time: 0.8659 data: 0.0003 max mem: 29859 [06:21:38.092735] Epoch: [248] [360/850] eta: 0:07:08 lr: 0.001982 loss: 0.0184 (0.0192) loss_rec_all: 0.0546 (0.0554) loss_rec_sfr: 0.0593 (0.0778) loss_cl: -0.3666 (-0.3673) time: 0.8666 data: 0.0003 max mem: 29859 [06:21:55.350571] Epoch: [248] [380/850] eta: 0:06:50 lr: 0.001981 loss: 0.0185 (0.0193) loss_rec_all: 0.0547 (0.0554) loss_rec_sfr: 0.0719 (0.0779) loss_cl: -0.3670 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [06:22:12.706744] Epoch: [248] [400/850] eta: 0:06:33 lr: 0.001981 loss: 0.0183 (0.0193) loss_rec_all: 0.0547 (0.0554) loss_rec_sfr: 0.0572 (0.0776) loss_cl: -0.3673 (-0.3673) time: 0.8677 data: 0.0003 max mem: 29859 [06:22:30.008706] Epoch: [248] [420/850] eta: 0:06:15 lr: 0.001981 loss: 0.0193 (0.0192) loss_rec_all: 0.0551 (0.0554) loss_rec_sfr: 0.0877 (0.0780) loss_cl: -0.3673 (-0.3673) time: 0.8650 data: 0.0003 max mem: 29859 [06:22:47.287997] Epoch: [248] [440/850] eta: 0:05:57 lr: 0.001981 loss: 0.0195 (0.0193) loss_rec_all: 0.0559 (0.0555) loss_rec_sfr: 0.0647 (0.0781) loss_cl: -0.3675 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [06:23:04.573296] Epoch: [248] [460/850] eta: 0:05:40 lr: 0.001981 loss: 0.0193 (0.0193) loss_rec_all: 0.0554 (0.0555) loss_rec_sfr: 0.0698 (0.0781) loss_cl: -0.3677 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [06:23:21.971669] Epoch: [248] [480/850] eta: 0:05:22 lr: 0.001981 loss: 0.0197 (0.0194) loss_rec_all: 0.0558 (0.0556) loss_rec_sfr: 0.0844 (0.0784) loss_cl: -0.3678 (-0.3673) time: 0.8698 data: 0.0012 max mem: 29859 [06:23:39.233999] Epoch: [248] [500/850] eta: 0:05:05 lr: 0.001981 loss: 0.0194 (0.0194) loss_rec_all: 0.0556 (0.0556) loss_rec_sfr: 0.0838 (0.0785) loss_cl: -0.3671 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [06:23:56.560344] Epoch: [248] [520/850] eta: 0:04:47 lr: 0.001981 loss: 0.0177 (0.0194) loss_rec_all: 0.0540 (0.0556) loss_rec_sfr: 0.0596 (0.0783) loss_cl: -0.3674 (-0.3673) time: 0.8662 data: 0.0003 max mem: 29859 [06:24:13.900384] Epoch: [248] [540/850] eta: 0:04:30 lr: 0.001981 loss: 0.0197 (0.0194) loss_rec_all: 0.0557 (0.0556) loss_rec_sfr: 0.0793 (0.0784) loss_cl: -0.3665 (-0.3673) time: 0.8669 data: 0.0003 max mem: 29859 [06:24:31.201807] Epoch: [248] [560/850] eta: 0:04:12 lr: 0.001981 loss: 0.0179 (0.0194) loss_rec_all: 0.0542 (0.0556) loss_rec_sfr: 0.0616 (0.0783) loss_cl: -0.3669 (-0.3673) time: 0.8650 data: 0.0002 max mem: 29859 [06:24:48.483473] Epoch: [248] [580/850] eta: 0:03:55 lr: 0.001981 loss: 0.0195 (0.0194) loss_rec_all: 0.0554 (0.0556) loss_rec_sfr: 0.0764 (0.0784) loss_cl: -0.3671 (-0.3673) time: 0.8640 data: 0.0005 max mem: 29859 [06:25:05.852182] Epoch: [248] [600/850] eta: 0:03:37 lr: 0.001980 loss: 0.0183 (0.0194) loss_rec_all: 0.0545 (0.0556) loss_rec_sfr: 0.0629 (0.0784) loss_cl: -0.3669 (-0.3673) time: 0.8683 data: 0.0005 max mem: 29859 [06:25:23.102925] Epoch: [248] [620/850] eta: 0:03:20 lr: 0.001980 loss: 0.0193 (0.0194) loss_rec_all: 0.0555 (0.0556) loss_rec_sfr: 0.0858 (0.0788) loss_cl: -0.3677 (-0.3673) time: 0.8625 data: 0.0003 max mem: 29859 [06:25:40.422058] Epoch: [248] [640/850] eta: 0:03:02 lr: 0.001980 loss: 0.0202 (0.0195) loss_rec_all: 0.0564 (0.0557) loss_rec_sfr: 0.0877 (0.0789) loss_cl: -0.3679 (-0.3673) time: 0.8659 data: 0.0008 max mem: 29859 [06:25:57.752364] Epoch: [248] [660/850] eta: 0:02:45 lr: 0.001980 loss: 0.0194 (0.0195) loss_rec_all: 0.0557 (0.0557) loss_rec_sfr: 0.0633 (0.0788) loss_cl: -0.3681 (-0.3673) time: 0.8663 data: 0.0003 max mem: 29859 [06:26:15.067522] Epoch: [248] [680/850] eta: 0:02:27 lr: 0.001980 loss: 0.0192 (0.0195) loss_rec_all: 0.0555 (0.0557) loss_rec_sfr: 0.0642 (0.0788) loss_cl: -0.3675 (-0.3673) time: 0.8657 data: 0.0003 max mem: 29859 [06:26:32.323709] Epoch: [248] [700/850] eta: 0:02:10 lr: 0.001980 loss: 0.0185 (0.0195) loss_rec_all: 0.0549 (0.0557) loss_rec_sfr: 0.0795 (0.0788) loss_cl: -0.3673 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [06:26:49.673471] Epoch: [248] [720/850] eta: 0:01:53 lr: 0.001980 loss: 0.0177 (0.0195) loss_rec_all: 0.0540 (0.0557) loss_rec_sfr: 0.0841 (0.0790) loss_cl: -0.3672 (-0.3673) time: 0.8674 data: 0.0003 max mem: 29859 [06:27:06.974584] Epoch: [248] [740/850] eta: 0:01:35 lr: 0.001980 loss: 0.0193 (0.0195) loss_rec_all: 0.0552 (0.0557) loss_rec_sfr: 0.0941 (0.0793) loss_cl: -0.3674 (-0.3673) time: 0.8650 data: 0.0004 max mem: 29859 [06:27:24.274084] Epoch: [248] [760/850] eta: 0:01:18 lr: 0.001980 loss: 0.0182 (0.0195) loss_rec_all: 0.0546 (0.0557) loss_rec_sfr: 0.0815 (0.0794) loss_cl: -0.3675 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [06:27:41.561733] Epoch: [248] [780/850] eta: 0:01:00 lr: 0.001980 loss: 0.0192 (0.0195) loss_rec_all: 0.0555 (0.0557) loss_rec_sfr: 0.0932 (0.0795) loss_cl: -0.3671 (-0.3673) time: 0.8642 data: 0.0003 max mem: 29859 [06:27:58.955532] Epoch: [248] [800/850] eta: 0:00:43 lr: 0.001980 loss: 0.0192 (0.0195) loss_rec_all: 0.0552 (0.0557) loss_rec_sfr: 0.0695 (0.0795) loss_cl: -0.3672 (-0.3673) time: 0.8696 data: 0.0010 max mem: 29859 [06:28:16.224615] Epoch: [248] [820/850] eta: 0:00:26 lr: 0.001979 loss: 0.0199 (0.0195) loss_rec_all: 0.0562 (0.0557) loss_rec_sfr: 0.0575 (0.0794) loss_cl: -0.3675 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [06:28:33.572546] Epoch: [248] [840/850] eta: 0:00:08 lr: 0.001979 loss: 0.0200 (0.0195) loss_rec_all: 0.0562 (0.0557) loss_rec_sfr: 0.0649 (0.0794) loss_cl: -0.3674 (-0.3673) time: 0.8673 data: 0.0006 max mem: 29859 [06:28:41.378338] Epoch: [248] [849/850] eta: 0:00:00 lr: 0.001979 loss: 0.0199 (0.0195) loss_rec_all: 0.0559 (0.0557) loss_rec_sfr: 0.0990 (0.0797) loss_cl: -0.3673 (-0.3673) time: 0.8678 data: 0.0005 max mem: 29859 [06:28:41.508589] Epoch: [248] Total time: 0:12:19 (0.8698 s / it) [06:28:41.510551] Averaged stats: lr: 0.001979 loss: 0.0199 (0.0196) loss_rec_all: 0.0559 (0.0558) loss_rec_sfr: 0.0990 (0.0794) loss_cl: -0.3673 (-0.3673) [06:28:41.522006] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [06:28:46.179850] Epoch: [249] [ 0/850] eta: 1:05:58 lr: 0.001979 loss: 0.0184 (0.0184) loss_rec_all: 0.0547 (0.0547) loss_rec_sfr: 0.0584 (0.0584) loss_cl: -0.3665 (-0.3665) time: 4.6568 data: 3.7993 max mem: 29859 [06:29:03.414466] Epoch: [249] [ 20/850] eta: 0:14:25 lr: 0.001979 loss: 0.0182 (0.0188) loss_rec_all: 0.0545 (0.0549) loss_rec_sfr: 0.0623 (0.0740) loss_cl: -0.3670 (-0.3669) time: 0.8617 data: 0.0002 max mem: 29859 [06:29:20.695578] Epoch: [249] [ 40/850] eta: 0:12:53 lr: 0.001979 loss: 0.0191 (0.0191) loss_rec_all: 0.0551 (0.0553) loss_rec_sfr: 0.0760 (0.0740) loss_cl: -0.3665 (-0.3668) time: 0.8640 data: 0.0002 max mem: 29859 [06:29:37.995384] Epoch: [249] [ 60/850] eta: 0:12:11 lr: 0.001979 loss: 0.0182 (0.0191) loss_rec_all: 0.0544 (0.0553) loss_rec_sfr: 0.0726 (0.0751) loss_cl: -0.3666 (-0.3667) time: 0.8649 data: 0.0004 max mem: 29859 [06:29:55.311208] Epoch: [249] [ 80/850] eta: 0:11:41 lr: 0.001979 loss: 0.0176 (0.0190) loss_rec_all: 0.0539 (0.0551) loss_rec_sfr: 0.0787 (0.0769) loss_cl: -0.3676 (-0.3669) time: 0.8657 data: 0.0002 max mem: 29859 [06:30:12.557405] Epoch: [249] [100/850] eta: 0:11:15 lr: 0.001979 loss: 0.0168 (0.0188) loss_rec_all: 0.0532 (0.0550) loss_rec_sfr: 0.0572 (0.0763) loss_cl: -0.3680 (-0.3671) time: 0.8623 data: 0.0002 max mem: 29859 [06:30:29.880004] Epoch: [249] [120/850] eta: 0:10:53 lr: 0.001979 loss: 0.0171 (0.0185) loss_rec_all: 0.0532 (0.0547) loss_rec_sfr: 0.0544 (0.0757) loss_cl: -0.3681 (-0.3673) time: 0.8660 data: 0.0003 max mem: 29859 [06:30:47.122428] Epoch: [249] [140/850] eta: 0:10:32 lr: 0.001979 loss: 0.0182 (0.0186) loss_rec_all: 0.0544 (0.0548) loss_rec_sfr: 0.0575 (0.0760) loss_cl: -0.3681 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [06:31:04.390162] Epoch: [249] [160/850] eta: 0:10:12 lr: 0.001979 loss: 0.0178 (0.0186) loss_rec_all: 0.0541 (0.0548) loss_rec_sfr: 0.0880 (0.0778) loss_cl: -0.3674 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [06:31:21.665566] Epoch: [249] [180/850] eta: 0:09:52 lr: 0.001979 loss: 0.0183 (0.0187) loss_rec_all: 0.0544 (0.0549) loss_rec_sfr: 0.0614 (0.0777) loss_cl: -0.3673 (-0.3674) time: 0.8637 data: 0.0003 max mem: 29859 [06:31:39.039181] Epoch: [249] [200/850] eta: 0:09:34 lr: 0.001978 loss: 0.0190 (0.0188) loss_rec_all: 0.0553 (0.0550) loss_rec_sfr: 0.0570 (0.0777) loss_cl: -0.3671 (-0.3673) time: 0.8686 data: 0.0004 max mem: 29859 [06:31:56.299480] Epoch: [249] [220/850] eta: 0:09:15 lr: 0.001978 loss: 0.0195 (0.0189) loss_rec_all: 0.0555 (0.0551) loss_rec_sfr: 0.0813 (0.0781) loss_cl: -0.3680 (-0.3674) time: 0.8630 data: 0.0003 max mem: 29859 [06:32:13.632716] Epoch: [249] [240/850] eta: 0:08:56 lr: 0.001978 loss: 0.0193 (0.0190) loss_rec_all: 0.0557 (0.0552) loss_rec_sfr: 0.0657 (0.0783) loss_cl: -0.3679 (-0.3674) time: 0.8666 data: 0.0004 max mem: 29859 [06:32:30.966911] Epoch: [249] [260/850] eta: 0:08:38 lr: 0.001978 loss: 0.0178 (0.0189) loss_rec_all: 0.0539 (0.0551) loss_rec_sfr: 0.0680 (0.0784) loss_cl: -0.3679 (-0.3675) time: 0.8666 data: 0.0003 max mem: 29859 [06:32:48.275959] Epoch: [249] [280/850] eta: 0:08:20 lr: 0.001978 loss: 0.0205 (0.0191) loss_rec_all: 0.0564 (0.0552) loss_rec_sfr: 0.0821 (0.0790) loss_cl: -0.3670 (-0.3674) time: 0.8654 data: 0.0003 max mem: 29859 [06:33:05.529780] Epoch: [249] [300/850] eta: 0:08:02 lr: 0.001978 loss: 0.0179 (0.0191) loss_rec_all: 0.0540 (0.0552) loss_rec_sfr: 0.0566 (0.0785) loss_cl: -0.3661 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [06:33:22.901848] Epoch: [249] [320/850] eta: 0:07:44 lr: 0.001978 loss: 0.0184 (0.0191) loss_rec_all: 0.0542 (0.0552) loss_rec_sfr: 0.0908 (0.0790) loss_cl: -0.3659 (-0.3672) time: 0.8685 data: 0.0003 max mem: 29859 [06:33:40.174153] Epoch: [249] [340/850] eta: 0:07:26 lr: 0.001978 loss: 0.0185 (0.0191) loss_rec_all: 0.0545 (0.0552) loss_rec_sfr: 0.0633 (0.0787) loss_cl: -0.3666 (-0.3672) time: 0.8636 data: 0.0002 max mem: 29859 [06:33:57.480474] Epoch: [249] [360/850] eta: 0:07:08 lr: 0.001978 loss: 0.0179 (0.0190) loss_rec_all: 0.0541 (0.0552) loss_rec_sfr: 0.0834 (0.0788) loss_cl: -0.3670 (-0.3672) time: 0.8653 data: 0.0002 max mem: 29859 [06:34:14.862610] Epoch: [249] [380/850] eta: 0:06:51 lr: 0.001978 loss: 0.0186 (0.0190) loss_rec_all: 0.0547 (0.0552) loss_rec_sfr: 0.0770 (0.0787) loss_cl: -0.3674 (-0.3672) time: 0.8690 data: 0.0004 max mem: 29859 [06:34:32.228238] Epoch: [249] [400/850] eta: 0:06:33 lr: 0.001978 loss: 0.0178 (0.0190) loss_rec_all: 0.0540 (0.0552) loss_rec_sfr: 0.0826 (0.0787) loss_cl: -0.3676 (-0.3672) time: 0.8682 data: 0.0003 max mem: 29859 [06:34:49.479254] Epoch: [249] [420/850] eta: 0:06:15 lr: 0.001977 loss: 0.0177 (0.0189) loss_rec_all: 0.0540 (0.0551) loss_rec_sfr: 0.0570 (0.0785) loss_cl: -0.3674 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [06:35:06.817409] Epoch: [249] [440/850] eta: 0:05:58 lr: 0.001977 loss: 0.0181 (0.0189) loss_rec_all: 0.0546 (0.0551) loss_rec_sfr: 0.0581 (0.0784) loss_cl: -0.3678 (-0.3673) time: 0.8669 data: 0.0003 max mem: 29859 [06:35:24.120804] Epoch: [249] [460/850] eta: 0:05:40 lr: 0.001977 loss: 0.0192 (0.0190) loss_rec_all: 0.0554 (0.0551) loss_rec_sfr: 0.0588 (0.0780) loss_cl: -0.3680 (-0.3673) time: 0.8651 data: 0.0003 max mem: 29859 [06:35:41.436030] Epoch: [249] [480/850] eta: 0:05:22 lr: 0.001977 loss: 0.0186 (0.0189) loss_rec_all: 0.0549 (0.0551) loss_rec_sfr: 0.0599 (0.0781) loss_cl: -0.3684 (-0.3673) time: 0.8657 data: 0.0002 max mem: 29859 [06:35:58.724407] Epoch: [249] [500/850] eta: 0:05:05 lr: 0.001977 loss: 0.0174 (0.0189) loss_rec_all: 0.0537 (0.0551) loss_rec_sfr: 0.0642 (0.0780) loss_cl: -0.3679 (-0.3674) time: 0.8644 data: 0.0002 max mem: 29859 [06:36:16.142762] Epoch: [249] [520/850] eta: 0:04:47 lr: 0.001977 loss: 0.0184 (0.0189) loss_rec_all: 0.0547 (0.0551) loss_rec_sfr: 0.0612 (0.0777) loss_cl: -0.3678 (-0.3674) time: 0.8708 data: 0.0005 max mem: 29859 [06:36:33.437215] Epoch: [249] [540/850] eta: 0:04:30 lr: 0.001977 loss: 0.0176 (0.0189) loss_rec_all: 0.0540 (0.0551) loss_rec_sfr: 0.0557 (0.0772) loss_cl: -0.3672 (-0.3674) time: 0.8647 data: 0.0003 max mem: 29859 [06:36:50.769715] Epoch: [249] [560/850] eta: 0:04:12 lr: 0.001977 loss: 0.0188 (0.0189) loss_rec_all: 0.0551 (0.0551) loss_rec_sfr: 0.0797 (0.0773) loss_cl: -0.3667 (-0.3674) time: 0.8666 data: 0.0002 max mem: 29859 [06:37:08.132887] Epoch: [249] [580/850] eta: 0:03:55 lr: 0.001977 loss: 0.0178 (0.0189) loss_rec_all: 0.0540 (0.0551) loss_rec_sfr: 0.0588 (0.0771) loss_cl: -0.3664 (-0.3673) time: 0.8681 data: 0.0004 max mem: 29859 [06:37:25.476940] Epoch: [249] [600/850] eta: 0:03:37 lr: 0.001977 loss: 0.0191 (0.0189) loss_rec_all: 0.0550 (0.0551) loss_rec_sfr: 0.0807 (0.0772) loss_cl: -0.3666 (-0.3673) time: 0.8672 data: 0.0003 max mem: 29859 [06:37:42.749733] Epoch: [249] [620/850] eta: 0:03:20 lr: 0.001977 loss: 0.0177 (0.0189) loss_rec_all: 0.0540 (0.0551) loss_rec_sfr: 0.0591 (0.0771) loss_cl: -0.3674 (-0.3673) time: 0.8636 data: 0.0003 max mem: 29859 [06:38:00.134367] Epoch: [249] [640/850] eta: 0:03:02 lr: 0.001976 loss: 0.0182 (0.0189) loss_rec_all: 0.0544 (0.0551) loss_rec_sfr: 0.0771 (0.0772) loss_cl: -0.3676 (-0.3673) time: 0.8691 data: 0.0003 max mem: 29859 [06:38:17.415075] Epoch: [249] [660/850] eta: 0:02:45 lr: 0.001976 loss: 0.0189 (0.0189) loss_rec_all: 0.0550 (0.0551) loss_rec_sfr: 0.0814 (0.0774) loss_cl: -0.3683 (-0.3673) time: 0.8640 data: 0.0003 max mem: 29859 [06:38:34.699941] Epoch: [249] [680/850] eta: 0:02:28 lr: 0.001976 loss: 0.0172 (0.0189) loss_rec_all: 0.0534 (0.0551) loss_rec_sfr: 0.0575 (0.0771) loss_cl: -0.3674 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [06:38:52.009237] Epoch: [249] [700/850] eta: 0:02:10 lr: 0.001976 loss: 0.0191 (0.0189) loss_rec_all: 0.0554 (0.0551) loss_rec_sfr: 0.0623 (0.0773) loss_cl: -0.3669 (-0.3673) time: 0.8654 data: 0.0003 max mem: 29859 [06:39:09.358004] Epoch: [249] [720/850] eta: 0:01:53 lr: 0.001976 loss: 0.0181 (0.0189) loss_rec_all: 0.0542 (0.0551) loss_rec_sfr: 0.0586 (0.0772) loss_cl: -0.3662 (-0.3673) time: 0.8674 data: 0.0003 max mem: 29859 [06:39:26.617319] Epoch: [249] [740/850] eta: 0:01:35 lr: 0.001976 loss: 0.0202 (0.0190) loss_rec_all: 0.0562 (0.0551) loss_rec_sfr: 0.0815 (0.0775) loss_cl: -0.3668 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [06:39:43.953501] Epoch: [249] [760/850] eta: 0:01:18 lr: 0.001976 loss: 0.0186 (0.0190) loss_rec_all: 0.0549 (0.0552) loss_rec_sfr: 0.0634 (0.0775) loss_cl: -0.3673 (-0.3673) time: 0.8667 data: 0.0003 max mem: 29859 [06:40:01.285046] Epoch: [249] [780/850] eta: 0:01:00 lr: 0.001976 loss: 0.0188 (0.0190) loss_rec_all: 0.0550 (0.0552) loss_rec_sfr: 0.0801 (0.0776) loss_cl: -0.3684 (-0.3673) time: 0.8665 data: 0.0003 max mem: 29859 [06:40:18.599220] Epoch: [249] [800/850] eta: 0:00:43 lr: 0.001976 loss: 0.0206 (0.0191) loss_rec_all: 0.0568 (0.0553) loss_rec_sfr: 0.0663 (0.0776) loss_cl: -0.3686 (-0.3673) time: 0.8657 data: 0.0002 max mem: 29859 [06:40:35.866051] Epoch: [249] [820/850] eta: 0:00:26 lr: 0.001976 loss: 0.0206 (0.0191) loss_rec_all: 0.0567 (0.0553) loss_rec_sfr: 0.0669 (0.0778) loss_cl: -0.3675 (-0.3673) time: 0.8633 data: 0.0004 max mem: 29859 [06:40:53.265704] Epoch: [249] [840/850] eta: 0:00:08 lr: 0.001976 loss: 0.0196 (0.0191) loss_rec_all: 0.0558 (0.0553) loss_rec_sfr: 0.0637 (0.0779) loss_cl: -0.3668 (-0.3673) time: 0.8699 data: 0.0008 max mem: 29859 [06:41:01.030271] Epoch: [249] [849/850] eta: 0:00:00 lr: 0.001976 loss: 0.0191 (0.0192) loss_rec_all: 0.0553 (0.0553) loss_rec_sfr: 0.0642 (0.0779) loss_cl: -0.3664 (-0.3673) time: 0.8679 data: 0.0007 max mem: 29859 [06:41:01.231388] Epoch: [249] Total time: 0:12:19 (0.8702 s / it) [06:41:01.235419] Averaged stats: lr: 0.001976 loss: 0.0191 (0.0192) loss_rec_all: 0.0553 (0.0554) loss_rec_sfr: 0.0642 (0.0781) loss_cl: -0.3664 (-0.3673) [06:41:01.257688] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [06:41:05.624546] Epoch: [250] [ 0/850] eta: 1:01:50 lr: 0.001976 loss: 0.0182 (0.0182) loss_rec_all: 0.0542 (0.0542) loss_rec_sfr: 0.0951 (0.0951) loss_cl: -0.3663 (-0.3663) time: 4.3657 data: 3.4179 max mem: 29859 [06:41:22.831089] Epoch: [250] [ 20/850] eta: 0:14:12 lr: 0.001975 loss: 0.0201 (0.0203) loss_rec_all: 0.0559 (0.0563) loss_rec_sfr: 0.0886 (0.0918) loss_cl: -0.3663 (-0.3664) time: 0.8603 data: 0.0002 max mem: 29859 [06:41:40.146799] Epoch: [250] [ 40/850] eta: 0:12:48 lr: 0.001975 loss: 0.0203 (0.0204) loss_rec_all: 0.0566 (0.0565) loss_rec_sfr: 0.0667 (0.0837) loss_cl: -0.3669 (-0.3666) time: 0.8657 data: 0.0003 max mem: 29859 [06:41:57.466185] Epoch: [250] [ 60/850] eta: 0:12:07 lr: 0.001975 loss: 0.0191 (0.0200) loss_rec_all: 0.0552 (0.0561) loss_rec_sfr: 0.1012 (0.0867) loss_cl: -0.3677 (-0.3669) time: 0.8659 data: 0.0003 max mem: 29859 [06:42:14.760708] Epoch: [250] [ 80/850] eta: 0:11:38 lr: 0.001975 loss: 0.0172 (0.0196) loss_rec_all: 0.0535 (0.0557) loss_rec_sfr: 0.0665 (0.0844) loss_cl: -0.3682 (-0.3672) time: 0.8647 data: 0.0002 max mem: 29859 [06:42:32.076709] Epoch: [250] [100/850] eta: 0:11:14 lr: 0.001975 loss: 0.0172 (0.0192) loss_rec_all: 0.0534 (0.0553) loss_rec_sfr: 0.0563 (0.0818) loss_cl: -0.3679 (-0.3674) time: 0.8657 data: 0.0003 max mem: 29859 [06:42:49.432441] Epoch: [250] [120/850] eta: 0:10:52 lr: 0.001975 loss: 0.0170 (0.0189) loss_rec_all: 0.0534 (0.0551) loss_rec_sfr: 0.0575 (0.0801) loss_cl: -0.3675 (-0.3674) time: 0.8677 data: 0.0003 max mem: 29859 [06:43:06.679190] Epoch: [250] [140/850] eta: 0:10:31 lr: 0.001975 loss: 0.0167 (0.0188) loss_rec_all: 0.0530 (0.0549) loss_rec_sfr: 0.0555 (0.0791) loss_cl: -0.3668 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [06:43:23.999354] Epoch: [250] [160/850] eta: 0:10:11 lr: 0.001975 loss: 0.0179 (0.0186) loss_rec_all: 0.0540 (0.0548) loss_rec_sfr: 0.0762 (0.0791) loss_cl: -0.3670 (-0.3673) time: 0.8660 data: 0.0003 max mem: 29859 [06:43:41.330193] Epoch: [250] [180/850] eta: 0:09:52 lr: 0.001975 loss: 0.0163 (0.0185) loss_rec_all: 0.0527 (0.0547) loss_rec_sfr: 0.0603 (0.0781) loss_cl: -0.3675 (-0.3673) time: 0.8665 data: 0.0004 max mem: 29859 [06:43:58.696518] Epoch: [250] [200/850] eta: 0:09:33 lr: 0.001975 loss: 0.0174 (0.0184) loss_rec_all: 0.0536 (0.0546) loss_rec_sfr: 0.0594 (0.0780) loss_cl: -0.3673 (-0.3673) time: 0.8682 data: 0.0003 max mem: 29859 [06:44:15.949307] Epoch: [250] [220/850] eta: 0:09:14 lr: 0.001975 loss: 0.0179 (0.0184) loss_rec_all: 0.0540 (0.0546) loss_rec_sfr: 0.0588 (0.0778) loss_cl: -0.3672 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [06:44:33.336482] Epoch: [250] [240/850] eta: 0:08:56 lr: 0.001974 loss: 0.0233 (0.0189) loss_rec_all: 0.0591 (0.0550) loss_rec_sfr: 0.0830 (0.0792) loss_cl: -0.3669 (-0.3672) time: 0.8693 data: 0.0004 max mem: 29859 [06:44:50.658277] Epoch: [250] [260/850] eta: 0:08:38 lr: 0.001974 loss: 0.0262 (0.0194) loss_rec_all: 0.0618 (0.0556) loss_rec_sfr: 0.0858 (0.0815) loss_cl: -0.3672 (-0.3672) time: 0.8660 data: 0.0003 max mem: 29859 [06:45:07.946679] Epoch: [250] [280/850] eta: 0:08:20 lr: 0.001974 loss: 0.0250 (0.0199) loss_rec_all: 0.0613 (0.0561) loss_rec_sfr: 0.0848 (0.0834) loss_cl: -0.3674 (-0.3672) time: 0.8644 data: 0.0002 max mem: 29859 [06:45:25.265159] Epoch: [250] [300/850] eta: 0:08:02 lr: 0.001974 loss: 0.0253 (0.0203) loss_rec_all: 0.0610 (0.0564) loss_rec_sfr: 0.0869 (0.0843) loss_cl: -0.3679 (-0.3673) time: 0.8658 data: 0.0003 max mem: 29859 [06:45:42.635230] Epoch: [250] [320/850] eta: 0:07:44 lr: 0.001974 loss: 0.0218 (0.0204) loss_rec_all: 0.0580 (0.0566) loss_rec_sfr: 0.0605 (0.0838) loss_cl: -0.3680 (-0.3673) time: 0.8684 data: 0.0003 max mem: 29859 [06:45:59.893417] Epoch: [250] [340/850] eta: 0:07:26 lr: 0.001974 loss: 0.0208 (0.0205) loss_rec_all: 0.0568 (0.0566) loss_rec_sfr: 0.0686 (0.0839) loss_cl: -0.3681 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [06:46:17.229039] Epoch: [250] [360/850] eta: 0:07:08 lr: 0.001974 loss: 0.0208 (0.0205) loss_rec_all: 0.0572 (0.0567) loss_rec_sfr: 0.0841 (0.0839) loss_cl: -0.3674 (-0.3674) time: 0.8666 data: 0.0003 max mem: 29859 [06:46:34.589294] Epoch: [250] [380/850] eta: 0:06:51 lr: 0.001974 loss: 0.0194 (0.0205) loss_rec_all: 0.0557 (0.0567) loss_rec_sfr: 0.0664 (0.0836) loss_cl: -0.3673 (-0.3674) time: 0.8679 data: 0.0006 max mem: 29859 [06:46:51.885614] Epoch: [250] [400/850] eta: 0:06:33 lr: 0.001974 loss: 0.0193 (0.0205) loss_rec_all: 0.0552 (0.0566) loss_rec_sfr: 0.0607 (0.0833) loss_cl: -0.3668 (-0.3673) time: 0.8648 data: 0.0003 max mem: 29859 [06:47:09.146554] Epoch: [250] [420/850] eta: 0:06:15 lr: 0.001974 loss: 0.0191 (0.0205) loss_rec_all: 0.0550 (0.0566) loss_rec_sfr: 0.0844 (0.0834) loss_cl: -0.3667 (-0.3673) time: 0.8629 data: 0.0004 max mem: 29859 [06:47:26.499577] Epoch: [250] [440/850] eta: 0:05:58 lr: 0.001974 loss: 0.0181 (0.0204) loss_rec_all: 0.0546 (0.0566) loss_rec_sfr: 0.0643 (0.0831) loss_cl: -0.3673 (-0.3673) time: 0.8675 data: 0.0004 max mem: 29859 [06:47:43.876996] Epoch: [250] [460/850] eta: 0:05:40 lr: 0.001974 loss: 0.0181 (0.0203) loss_rec_all: 0.0540 (0.0565) loss_rec_sfr: 0.0624 (0.0827) loss_cl: -0.3681 (-0.3673) time: 0.8688 data: 0.0003 max mem: 29859 [06:48:01.252296] Epoch: [250] [480/850] eta: 0:05:23 lr: 0.001973 loss: 0.0194 (0.0203) loss_rec_all: 0.0554 (0.0564) loss_rec_sfr: 0.0746 (0.0826) loss_cl: -0.3673 (-0.3673) time: 0.8687 data: 0.0003 max mem: 29859 [06:48:18.510564] Epoch: [250] [500/850] eta: 0:05:05 lr: 0.001973 loss: 0.0173 (0.0202) loss_rec_all: 0.0537 (0.0564) loss_rec_sfr: 0.0533 (0.0821) loss_cl: -0.3673 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [06:48:35.884760] Epoch: [250] [520/850] eta: 0:04:47 lr: 0.001973 loss: 0.0179 (0.0201) loss_rec_all: 0.0542 (0.0563) loss_rec_sfr: 0.0611 (0.0820) loss_cl: -0.3668 (-0.3673) time: 0.8687 data: 0.0003 max mem: 29859 [06:48:53.196028] Epoch: [250] [540/850] eta: 0:04:30 lr: 0.001973 loss: 0.0181 (0.0201) loss_rec_all: 0.0540 (0.0562) loss_rec_sfr: 0.0727 (0.0818) loss_cl: -0.3668 (-0.3673) time: 0.8655 data: 0.0003 max mem: 29859 [06:49:10.494096] Epoch: [250] [560/850] eta: 0:04:12 lr: 0.001973 loss: 0.0171 (0.0200) loss_rec_all: 0.0534 (0.0561) loss_rec_sfr: 0.0633 (0.0815) loss_cl: -0.3671 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [06:49:27.772897] Epoch: [250] [580/850] eta: 0:03:55 lr: 0.001973 loss: 0.0178 (0.0199) loss_rec_all: 0.0539 (0.0561) loss_rec_sfr: 0.0616 (0.0812) loss_cl: -0.3673 (-0.3673) time: 0.8639 data: 0.0003 max mem: 29859 [06:49:45.143615] Epoch: [250] [600/850] eta: 0:03:37 lr: 0.001973 loss: 0.0199 (0.0200) loss_rec_all: 0.0557 (0.0561) loss_rec_sfr: 0.0902 (0.0815) loss_cl: -0.3673 (-0.3673) time: 0.8685 data: 0.0003 max mem: 29859 [06:50:02.396154] Epoch: [250] [620/850] eta: 0:03:20 lr: 0.001973 loss: 0.0193 (0.0200) loss_rec_all: 0.0553 (0.0561) loss_rec_sfr: 0.0578 (0.0813) loss_cl: -0.3676 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [06:50:19.708256] Epoch: [250] [640/850] eta: 0:03:02 lr: 0.001973 loss: 0.0201 (0.0200) loss_rec_all: 0.0560 (0.0561) loss_rec_sfr: 0.0811 (0.0814) loss_cl: -0.3680 (-0.3673) time: 0.8655 data: 0.0002 max mem: 29859 [06:50:37.086894] Epoch: [250] [660/850] eta: 0:02:45 lr: 0.001973 loss: 0.0201 (0.0200) loss_rec_all: 0.0561 (0.0562) loss_rec_sfr: 0.0837 (0.0815) loss_cl: -0.3676 (-0.3673) time: 0.8689 data: 0.0003 max mem: 29859 [06:50:54.438790] Epoch: [250] [680/850] eta: 0:02:28 lr: 0.001973 loss: 0.0196 (0.0200) loss_rec_all: 0.0559 (0.0562) loss_rec_sfr: 0.0891 (0.0816) loss_cl: -0.3676 (-0.3673) time: 0.8675 data: 0.0004 max mem: 29859 [06:51:11.718271] Epoch: [250] [700/850] eta: 0:02:10 lr: 0.001972 loss: 0.0177 (0.0200) loss_rec_all: 0.0541 (0.0562) loss_rec_sfr: 0.0620 (0.0814) loss_cl: -0.3675 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [06:51:29.132579] Epoch: [250] [720/850] eta: 0:01:53 lr: 0.001972 loss: 0.0177 (0.0200) loss_rec_all: 0.0538 (0.0561) loss_rec_sfr: 0.0643 (0.0812) loss_cl: -0.3666 (-0.3673) time: 0.8706 data: 0.0003 max mem: 29859 [06:51:46.417846] Epoch: [250] [740/850] eta: 0:01:35 lr: 0.001972 loss: 0.0190 (0.0200) loss_rec_all: 0.0549 (0.0561) loss_rec_sfr: 0.0803 (0.0812) loss_cl: -0.3661 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [06:52:03.718521] Epoch: [250] [760/850] eta: 0:01:18 lr: 0.001972 loss: 0.0177 (0.0199) loss_rec_all: 0.0540 (0.0561) loss_rec_sfr: 0.0550 (0.0809) loss_cl: -0.3666 (-0.3672) time: 0.8650 data: 0.0002 max mem: 29859 [06:52:21.032473] Epoch: [250] [780/850] eta: 0:01:00 lr: 0.001972 loss: 0.0184 (0.0199) loss_rec_all: 0.0548 (0.0560) loss_rec_sfr: 0.0767 (0.0807) loss_cl: -0.3675 (-0.3673) time: 0.8656 data: 0.0003 max mem: 29859 [06:52:38.398941] Epoch: [250] [800/850] eta: 0:00:43 lr: 0.001972 loss: 0.0187 (0.0199) loss_rec_all: 0.0551 (0.0560) loss_rec_sfr: 0.0600 (0.0805) loss_cl: -0.3680 (-0.3673) time: 0.8683 data: 0.0003 max mem: 29859 [06:52:55.678962] Epoch: [250] [820/850] eta: 0:00:26 lr: 0.001972 loss: 0.0207 (0.0199) loss_rec_all: 0.0568 (0.0561) loss_rec_sfr: 0.0839 (0.0808) loss_cl: -0.3678 (-0.3673) time: 0.8639 data: 0.0003 max mem: 29859 [06:53:13.002608] Epoch: [250] [840/850] eta: 0:00:08 lr: 0.001972 loss: 0.0205 (0.0200) loss_rec_all: 0.0568 (0.0562) loss_rec_sfr: 0.0885 (0.0809) loss_cl: -0.3674 (-0.3673) time: 0.8661 data: 0.0005 max mem: 29859 [06:53:20.805801] Epoch: [250] [849/850] eta: 0:00:00 lr: 0.001972 loss: 0.0203 (0.0200) loss_rec_all: 0.0563 (0.0562) loss_rec_sfr: 0.0885 (0.0808) loss_cl: -0.3674 (-0.3673) time: 0.8677 data: 0.0005 max mem: 29859 [06:53:20.956048] Epoch: [250] Total time: 0:12:19 (0.8702 s / it) [06:53:20.962071] Averaged stats: lr: 0.001972 loss: 0.0203 (0.0199) loss_rec_all: 0.0563 (0.0561) loss_rec_sfr: 0.0885 (0.0805) loss_cl: -0.3674 (-0.3673) [06:53:26.427616] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [06:53:30.466854] Epoch: [251] [ 0/850] eta: 0:57:12 lr: 0.001972 loss: 0.0290 (0.0290) loss_rec_all: 0.0650 (0.0650) loss_rec_sfr: 0.0933 (0.0933) loss_cl: -0.3673 (-0.3673) time: 4.0386 data: 3.1862 max mem: 29859 [06:53:47.628607] Epoch: [251] [ 20/850] eta: 0:13:57 lr: 0.001972 loss: 0.0178 (0.0196) loss_rec_all: 0.0541 (0.0558) loss_rec_sfr: 0.0599 (0.0767) loss_cl: -0.3671 (-0.3671) time: 0.8580 data: 0.0002 max mem: 29859 [06:54:04.853714] Epoch: [251] [ 40/850] eta: 0:12:39 lr: 0.001972 loss: 0.0197 (0.0200) loss_rec_all: 0.0557 (0.0561) loss_rec_sfr: 0.0830 (0.0797) loss_cl: -0.3671 (-0.3671) time: 0.8612 data: 0.0002 max mem: 29859 [06:54:22.184885] Epoch: [251] [ 60/850] eta: 0:12:01 lr: 0.001972 loss: 0.0174 (0.0193) loss_rec_all: 0.0537 (0.0555) loss_rec_sfr: 0.0598 (0.0785) loss_cl: -0.3673 (-0.3672) time: 0.8663 data: 0.0003 max mem: 29859 [06:54:39.474550] Epoch: [251] [ 80/850] eta: 0:11:34 lr: 0.001971 loss: 0.0175 (0.0189) loss_rec_all: 0.0538 (0.0551) loss_rec_sfr: 0.0585 (0.0752) loss_cl: -0.3673 (-0.3671) time: 0.8644 data: 0.0003 max mem: 29859 [06:54:56.713358] Epoch: [251] [100/850] eta: 0:11:10 lr: 0.001971 loss: 0.0176 (0.0189) loss_rec_all: 0.0538 (0.0551) loss_rec_sfr: 0.0810 (0.0755) loss_cl: -0.3672 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [06:55:14.089482] Epoch: [251] [120/850] eta: 0:10:49 lr: 0.001971 loss: 0.0177 (0.0189) loss_rec_all: 0.0539 (0.0551) loss_rec_sfr: 0.0647 (0.0747) loss_cl: -0.3677 (-0.3673) time: 0.8687 data: 0.0004 max mem: 29859 [06:55:31.357375] Epoch: [251] [140/850] eta: 0:10:29 lr: 0.001971 loss: 0.0183 (0.0189) loss_rec_all: 0.0543 (0.0551) loss_rec_sfr: 0.0793 (0.0755) loss_cl: -0.3676 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [06:55:48.686542] Epoch: [251] [160/850] eta: 0:10:09 lr: 0.001971 loss: 0.0174 (0.0188) loss_rec_all: 0.0537 (0.0551) loss_rec_sfr: 0.0573 (0.0750) loss_cl: -0.3679 (-0.3674) time: 0.8664 data: 0.0003 max mem: 29859 [06:56:06.006935] Epoch: [251] [180/850] eta: 0:09:50 lr: 0.001971 loss: 0.0189 (0.0188) loss_rec_all: 0.0549 (0.0550) loss_rec_sfr: 0.0775 (0.0757) loss_cl: -0.3671 (-0.3673) time: 0.8659 data: 0.0003 max mem: 29859 [06:56:23.344340] Epoch: [251] [200/850] eta: 0:09:32 lr: 0.001971 loss: 0.0176 (0.0188) loss_rec_all: 0.0539 (0.0550) loss_rec_sfr: 0.0827 (0.0762) loss_cl: -0.3674 (-0.3673) time: 0.8668 data: 0.0003 max mem: 29859 [06:56:40.613573] Epoch: [251] [220/850] eta: 0:09:13 lr: 0.001971 loss: 0.0179 (0.0188) loss_rec_all: 0.0541 (0.0550) loss_rec_sfr: 0.0590 (0.0759) loss_cl: -0.3673 (-0.3673) time: 0.8634 data: 0.0003 max mem: 29859 [06:56:57.941424] Epoch: [251] [240/850] eta: 0:08:55 lr: 0.001971 loss: 0.0176 (0.0188) loss_rec_all: 0.0539 (0.0550) loss_rec_sfr: 0.0785 (0.0764) loss_cl: -0.3673 (-0.3673) time: 0.8663 data: 0.0002 max mem: 29859 [06:57:15.278649] Epoch: [251] [260/850] eta: 0:08:37 lr: 0.001971 loss: 0.0176 (0.0188) loss_rec_all: 0.0539 (0.0550) loss_rec_sfr: 0.0622 (0.0763) loss_cl: -0.3674 (-0.3673) time: 0.8668 data: 0.0003 max mem: 29859 [06:57:32.588071] Epoch: [251] [280/850] eta: 0:08:19 lr: 0.001971 loss: 0.0180 (0.0188) loss_rec_all: 0.0545 (0.0550) loss_rec_sfr: 0.0723 (0.0761) loss_cl: -0.3682 (-0.3673) time: 0.8654 data: 0.0002 max mem: 29859 [06:57:49.850262] Epoch: [251] [300/850] eta: 0:08:01 lr: 0.001970 loss: 0.0181 (0.0188) loss_rec_all: 0.0546 (0.0550) loss_rec_sfr: 0.0677 (0.0765) loss_cl: -0.3677 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [06:58:07.208268] Epoch: [251] [320/850] eta: 0:07:43 lr: 0.001970 loss: 0.0201 (0.0189) loss_rec_all: 0.0561 (0.0551) loss_rec_sfr: 0.0845 (0.0771) loss_cl: -0.3680 (-0.3674) time: 0.8678 data: 0.0004 max mem: 29859 [06:58:24.469623] Epoch: [251] [340/850] eta: 0:07:25 lr: 0.001970 loss: 0.0201 (0.0190) loss_rec_all: 0.0560 (0.0552) loss_rec_sfr: 0.0893 (0.0779) loss_cl: -0.3667 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [06:58:41.774963] Epoch: [251] [360/850] eta: 0:07:07 lr: 0.001970 loss: 0.0201 (0.0191) loss_rec_all: 0.0563 (0.0553) loss_rec_sfr: 0.0744 (0.0783) loss_cl: -0.3670 (-0.3673) time: 0.8652 data: 0.0002 max mem: 29859 [06:58:59.122214] Epoch: [251] [380/850] eta: 0:06:50 lr: 0.001970 loss: 0.0192 (0.0192) loss_rec_all: 0.0553 (0.0554) loss_rec_sfr: 0.0827 (0.0788) loss_cl: -0.3670 (-0.3673) time: 0.8673 data: 0.0003 max mem: 29859 [06:59:16.438973] Epoch: [251] [400/850] eta: 0:06:32 lr: 0.001970 loss: 0.0177 (0.0192) loss_rec_all: 0.0540 (0.0553) loss_rec_sfr: 0.0608 (0.0788) loss_cl: -0.3670 (-0.3673) time: 0.8658 data: 0.0003 max mem: 29859 [06:59:33.713461] Epoch: [251] [420/850] eta: 0:06:15 lr: 0.001970 loss: 0.0176 (0.0191) loss_rec_all: 0.0539 (0.0553) loss_rec_sfr: 0.0580 (0.0783) loss_cl: -0.3668 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [06:59:51.064167] Epoch: [251] [440/850] eta: 0:05:57 lr: 0.001970 loss: 0.0185 (0.0191) loss_rec_all: 0.0548 (0.0553) loss_rec_sfr: 0.0590 (0.0780) loss_cl: -0.3670 (-0.3672) time: 0.8674 data: 0.0002 max mem: 29859 [07:00:08.357390] Epoch: [251] [460/850] eta: 0:05:39 lr: 0.001970 loss: 0.0203 (0.0192) loss_rec_all: 0.0566 (0.0554) loss_rec_sfr: 0.0614 (0.0780) loss_cl: -0.3673 (-0.3672) time: 0.8646 data: 0.0003 max mem: 29859 [07:00:25.671236] Epoch: [251] [480/850] eta: 0:05:22 lr: 0.001970 loss: 0.0191 (0.0192) loss_rec_all: 0.0550 (0.0554) loss_rec_sfr: 0.0857 (0.0785) loss_cl: -0.3677 (-0.3673) time: 0.8656 data: 0.0002 max mem: 29859 [07:00:42.968395] Epoch: [251] [500/850] eta: 0:05:04 lr: 0.001970 loss: 0.0182 (0.0192) loss_rec_all: 0.0546 (0.0554) loss_rec_sfr: 0.0584 (0.0782) loss_cl: -0.3680 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [07:01:00.310633] Epoch: [251] [520/850] eta: 0:04:47 lr: 0.001969 loss: 0.0189 (0.0192) loss_rec_all: 0.0550 (0.0554) loss_rec_sfr: 0.0643 (0.0783) loss_cl: -0.3676 (-0.3673) time: 0.8671 data: 0.0003 max mem: 29859 [07:01:17.570323] Epoch: [251] [540/850] eta: 0:04:29 lr: 0.001969 loss: 0.0180 (0.0192) loss_rec_all: 0.0544 (0.0554) loss_rec_sfr: 0.0646 (0.0783) loss_cl: -0.3673 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [07:01:34.885569] Epoch: [251] [560/850] eta: 0:04:12 lr: 0.001969 loss: 0.0191 (0.0192) loss_rec_all: 0.0550 (0.0554) loss_rec_sfr: 0.0826 (0.0787) loss_cl: -0.3670 (-0.3673) time: 0.8657 data: 0.0003 max mem: 29859 [07:01:52.223677] Epoch: [251] [580/850] eta: 0:03:55 lr: 0.001969 loss: 0.0192 (0.0192) loss_rec_all: 0.0551 (0.0554) loss_rec_sfr: 0.0839 (0.0789) loss_cl: -0.3669 (-0.3673) time: 0.8668 data: 0.0005 max mem: 29859 [07:02:09.592979] Epoch: [251] [600/850] eta: 0:03:37 lr: 0.001969 loss: 0.0187 (0.0192) loss_rec_all: 0.0546 (0.0554) loss_rec_sfr: 0.0921 (0.0793) loss_cl: -0.3667 (-0.3673) time: 0.8682 data: 0.0003 max mem: 29859 [07:02:26.916205] Epoch: [251] [620/850] eta: 0:03:20 lr: 0.001969 loss: 0.0183 (0.0193) loss_rec_all: 0.0545 (0.0554) loss_rec_sfr: 0.0819 (0.0794) loss_cl: -0.3675 (-0.3673) time: 0.8661 data: 0.0004 max mem: 29859 [07:02:44.216260] Epoch: [251] [640/850] eta: 0:03:02 lr: 0.001969 loss: 0.0181 (0.0192) loss_rec_all: 0.0542 (0.0554) loss_rec_sfr: 0.0577 (0.0793) loss_cl: -0.3677 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [07:03:01.516998] Epoch: [251] [660/850] eta: 0:02:45 lr: 0.001969 loss: 0.0187 (0.0192) loss_rec_all: 0.0550 (0.0554) loss_rec_sfr: 0.0650 (0.0793) loss_cl: -0.3679 (-0.3673) time: 0.8649 data: 0.0003 max mem: 29859 [07:03:18.913341] Epoch: [251] [680/850] eta: 0:02:27 lr: 0.001969 loss: 0.0188 (0.0192) loss_rec_all: 0.0552 (0.0554) loss_rec_sfr: 0.0614 (0.0793) loss_cl: -0.3680 (-0.3673) time: 0.8698 data: 0.0003 max mem: 29859 [07:03:36.170832] Epoch: [251] [700/850] eta: 0:02:10 lr: 0.001969 loss: 0.0191 (0.0193) loss_rec_all: 0.0555 (0.0554) loss_rec_sfr: 0.0683 (0.0792) loss_cl: -0.3680 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [07:03:53.492530] Epoch: [251] [720/850] eta: 0:01:53 lr: 0.001969 loss: 0.0194 (0.0193) loss_rec_all: 0.0557 (0.0555) loss_rec_sfr: 0.0808 (0.0792) loss_cl: -0.3675 (-0.3673) time: 0.8660 data: 0.0002 max mem: 29859 [07:04:10.831659] Epoch: [251] [740/850] eta: 0:01:35 lr: 0.001968 loss: 0.0191 (0.0193) loss_rec_all: 0.0553 (0.0555) loss_rec_sfr: 0.0986 (0.0795) loss_cl: -0.3672 (-0.3673) time: 0.8669 data: 0.0003 max mem: 29859 [07:04:28.129559] Epoch: [251] [760/850] eta: 0:01:18 lr: 0.001968 loss: 0.0177 (0.0193) loss_rec_all: 0.0540 (0.0555) loss_rec_sfr: 0.0570 (0.0792) loss_cl: -0.3671 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [07:04:45.428290] Epoch: [251] [780/850] eta: 0:01:00 lr: 0.001968 loss: 0.0180 (0.0193) loss_rec_all: 0.0543 (0.0555) loss_rec_sfr: 0.0596 (0.0789) loss_cl: -0.3672 (-0.3673) time: 0.8649 data: 0.0007 max mem: 29859 [07:05:02.804542] Epoch: [251] [800/850] eta: 0:00:43 lr: 0.001968 loss: 0.0174 (0.0193) loss_rec_all: 0.0534 (0.0554) loss_rec_sfr: 0.0591 (0.0788) loss_cl: -0.3668 (-0.3673) time: 0.8687 data: 0.0003 max mem: 29859 [07:05:20.079165] Epoch: [251] [820/850] eta: 0:00:26 lr: 0.001968 loss: 0.0177 (0.0192) loss_rec_all: 0.0540 (0.0554) loss_rec_sfr: 0.0546 (0.0785) loss_cl: -0.3668 (-0.3673) time: 0.8637 data: 0.0003 max mem: 29859 [07:05:37.392986] Epoch: [251] [840/850] eta: 0:00:08 lr: 0.001968 loss: 0.0192 (0.0192) loss_rec_all: 0.0552 (0.0554) loss_rec_sfr: 0.0583 (0.0785) loss_cl: -0.3666 (-0.3673) time: 0.8656 data: 0.0010 max mem: 29859 [07:05:45.177186] Epoch: [251] [849/850] eta: 0:00:00 lr: 0.001968 loss: 0.0172 (0.0192) loss_rec_all: 0.0537 (0.0554) loss_rec_sfr: 0.0564 (0.0784) loss_cl: -0.3670 (-0.3673) time: 0.8659 data: 0.0010 max mem: 29859 [07:05:45.300571] Epoch: [251] Total time: 0:12:18 (0.8693 s / it) [07:05:45.306272] Averaged stats: lr: 0.001968 loss: 0.0172 (0.0193) loss_rec_all: 0.0537 (0.0555) loss_rec_sfr: 0.0564 (0.0785) loss_cl: -0.3670 (-0.3673) [07:05:45.325134] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [07:05:49.962097] Epoch: [252] [ 0/850] eta: 1:05:40 lr: 0.001968 loss: 0.0158 (0.0158) loss_rec_all: 0.0519 (0.0519) loss_rec_sfr: 0.0869 (0.0869) loss_cl: -0.3669 (-0.3669) time: 4.6358 data: 3.7785 max mem: 29859 [07:06:07.202984] Epoch: [252] [ 20/850] eta: 0:14:24 lr: 0.001968 loss: 0.0166 (0.0171) loss_rec_all: 0.0530 (0.0534) loss_rec_sfr: 0.0588 (0.0741) loss_cl: -0.3677 (-0.3676) time: 0.8620 data: 0.0002 max mem: 29859 [07:06:24.494223] Epoch: [252] [ 40/850] eta: 0:12:53 lr: 0.001968 loss: 0.0168 (0.0173) loss_rec_all: 0.0530 (0.0536) loss_rec_sfr: 0.0617 (0.0769) loss_cl: -0.3680 (-0.3678) time: 0.8645 data: 0.0003 max mem: 29859 [07:06:41.775532] Epoch: [252] [ 60/850] eta: 0:12:11 lr: 0.001968 loss: 0.0183 (0.0178) loss_rec_all: 0.0545 (0.0541) loss_rec_sfr: 0.0809 (0.0780) loss_cl: -0.3678 (-0.3678) time: 0.8640 data: 0.0003 max mem: 29859 [07:06:59.145850] Epoch: [252] [ 80/850] eta: 0:11:41 lr: 0.001968 loss: 0.0186 (0.0181) loss_rec_all: 0.0546 (0.0543) loss_rec_sfr: 0.0918 (0.0809) loss_cl: -0.3675 (-0.3677) time: 0.8684 data: 0.0004 max mem: 29859 [07:07:16.401639] Epoch: [252] [100/850] eta: 0:11:16 lr: 0.001968 loss: 0.0181 (0.0183) loss_rec_all: 0.0544 (0.0545) loss_rec_sfr: 0.0724 (0.0807) loss_cl: -0.3667 (-0.3675) time: 0.8627 data: 0.0002 max mem: 29859 [07:07:33.717179] Epoch: [252] [120/850] eta: 0:10:53 lr: 0.001967 loss: 0.0200 (0.0187) loss_rec_all: 0.0562 (0.0549) loss_rec_sfr: 0.0830 (0.0818) loss_cl: -0.3673 (-0.3674) time: 0.8657 data: 0.0002 max mem: 29859 [07:07:51.050573] Epoch: [252] [140/850] eta: 0:10:33 lr: 0.001967 loss: 0.0188 (0.0188) loss_rec_all: 0.0551 (0.0550) loss_rec_sfr: 0.0635 (0.0805) loss_cl: -0.3676 (-0.3674) time: 0.8665 data: 0.0005 max mem: 29859 [07:08:08.365612] Epoch: [252] [160/850] eta: 0:10:12 lr: 0.001967 loss: 0.0190 (0.0189) loss_rec_all: 0.0551 (0.0551) loss_rec_sfr: 0.0812 (0.0810) loss_cl: -0.3670 (-0.3673) time: 0.8657 data: 0.0005 max mem: 29859 [07:08:25.638859] Epoch: [252] [180/850] eta: 0:09:53 lr: 0.001967 loss: 0.0184 (0.0190) loss_rec_all: 0.0546 (0.0551) loss_rec_sfr: 0.0703 (0.0808) loss_cl: -0.3669 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [07:08:43.054160] Epoch: [252] [200/850] eta: 0:09:34 lr: 0.001967 loss: 0.0183 (0.0190) loss_rec_all: 0.0547 (0.0552) loss_rec_sfr: 0.0691 (0.0804) loss_cl: -0.3679 (-0.3673) time: 0.8707 data: 0.0004 max mem: 29859 [07:09:00.328987] Epoch: [252] [220/850] eta: 0:09:15 lr: 0.001967 loss: 0.0178 (0.0190) loss_rec_all: 0.0540 (0.0551) loss_rec_sfr: 0.0619 (0.0800) loss_cl: -0.3680 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [07:09:17.611374] Epoch: [252] [240/850] eta: 0:08:57 lr: 0.001967 loss: 0.0179 (0.0189) loss_rec_all: 0.0541 (0.0551) loss_rec_sfr: 0.0662 (0.0800) loss_cl: -0.3675 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [07:09:34.948076] Epoch: [252] [260/850] eta: 0:08:39 lr: 0.001967 loss: 0.0175 (0.0189) loss_rec_all: 0.0537 (0.0551) loss_rec_sfr: 0.0627 (0.0794) loss_cl: -0.3668 (-0.3673) time: 0.8668 data: 0.0003 max mem: 29859 [07:09:52.295505] Epoch: [252] [280/850] eta: 0:08:20 lr: 0.001967 loss: 0.0186 (0.0189) loss_rec_all: 0.0548 (0.0551) loss_rec_sfr: 0.0996 (0.0804) loss_cl: -0.3678 (-0.3673) time: 0.8673 data: 0.0003 max mem: 29859 [07:10:09.551155] Epoch: [252] [300/850] eta: 0:08:02 lr: 0.001967 loss: 0.0183 (0.0189) loss_rec_all: 0.0547 (0.0551) loss_rec_sfr: 0.0783 (0.0807) loss_cl: -0.3686 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [07:10:26.931483] Epoch: [252] [320/850] eta: 0:07:44 lr: 0.001967 loss: 0.0187 (0.0189) loss_rec_all: 0.0551 (0.0551) loss_rec_sfr: 0.0858 (0.0810) loss_cl: -0.3691 (-0.3675) time: 0.8689 data: 0.0003 max mem: 29859 [07:10:44.279828] Epoch: [252] [340/850] eta: 0:07:27 lr: 0.001966 loss: 0.0167 (0.0189) loss_rec_all: 0.0531 (0.0551) loss_rec_sfr: 0.0599 (0.0806) loss_cl: -0.3675 (-0.3674) time: 0.8674 data: 0.0003 max mem: 29859 [07:11:01.589520] Epoch: [252] [360/850] eta: 0:07:09 lr: 0.001966 loss: 0.0179 (0.0189) loss_rec_all: 0.0542 (0.0550) loss_rec_sfr: 0.0795 (0.0804) loss_cl: -0.3685 (-0.3674) time: 0.8654 data: 0.0002 max mem: 29859 [07:11:18.921348] Epoch: [252] [380/850] eta: 0:06:51 lr: 0.001966 loss: 0.0183 (0.0188) loss_rec_all: 0.0547 (0.0550) loss_rec_sfr: 0.0610 (0.0801) loss_cl: -0.3676 (-0.3674) time: 0.8665 data: 0.0004 max mem: 29859 [07:11:36.279598] Epoch: [252] [400/850] eta: 0:06:33 lr: 0.001966 loss: 0.0199 (0.0190) loss_rec_all: 0.0562 (0.0551) loss_rec_sfr: 0.0816 (0.0799) loss_cl: -0.3670 (-0.3673) time: 0.8679 data: 0.0010 max mem: 29859 [07:11:53.545727] Epoch: [252] [420/850] eta: 0:06:16 lr: 0.001966 loss: 0.0207 (0.0191) loss_rec_all: 0.0566 (0.0552) loss_rec_sfr: 0.0840 (0.0803) loss_cl: -0.3672 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [07:12:10.879654] Epoch: [252] [440/850] eta: 0:05:58 lr: 0.001966 loss: 0.0181 (0.0190) loss_rec_all: 0.0540 (0.0552) loss_rec_sfr: 0.0623 (0.0803) loss_cl: -0.3675 (-0.3674) time: 0.8666 data: 0.0002 max mem: 29859 [07:12:28.213834] Epoch: [252] [460/850] eta: 0:05:40 lr: 0.001966 loss: 0.0185 (0.0191) loss_rec_all: 0.0548 (0.0553) loss_rec_sfr: 0.0649 (0.0801) loss_cl: -0.3676 (-0.3674) time: 0.8667 data: 0.0003 max mem: 29859 [07:12:45.556095] Epoch: [252] [480/850] eta: 0:05:23 lr: 0.001966 loss: 0.0180 (0.0191) loss_rec_all: 0.0542 (0.0553) loss_rec_sfr: 0.0648 (0.0797) loss_cl: -0.3677 (-0.3674) time: 0.8670 data: 0.0002 max mem: 29859 [07:13:02.824516] Epoch: [252] [500/850] eta: 0:05:05 lr: 0.001966 loss: 0.0185 (0.0191) loss_rec_all: 0.0549 (0.0553) loss_rec_sfr: 0.0645 (0.0796) loss_cl: -0.3675 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [07:13:20.210503] Epoch: [252] [520/850] eta: 0:04:48 lr: 0.001966 loss: 0.0193 (0.0191) loss_rec_all: 0.0551 (0.0553) loss_rec_sfr: 0.0646 (0.0797) loss_cl: -0.3670 (-0.3674) time: 0.8692 data: 0.0004 max mem: 29859 [07:13:37.487177] Epoch: [252] [540/850] eta: 0:04:30 lr: 0.001966 loss: 0.0187 (0.0191) loss_rec_all: 0.0551 (0.0553) loss_rec_sfr: 0.0773 (0.0800) loss_cl: -0.3672 (-0.3673) time: 0.8638 data: 0.0003 max mem: 29859 [07:13:54.792789] Epoch: [252] [560/850] eta: 0:04:13 lr: 0.001965 loss: 0.0214 (0.0192) loss_rec_all: 0.0573 (0.0554) loss_rec_sfr: 0.0827 (0.0804) loss_cl: -0.3672 (-0.3673) time: 0.8652 data: 0.0003 max mem: 29859 [07:14:12.136079] Epoch: [252] [580/850] eta: 0:03:55 lr: 0.001965 loss: 0.0211 (0.0193) loss_rec_all: 0.0569 (0.0554) loss_rec_sfr: 0.0863 (0.0807) loss_cl: -0.3677 (-0.3674) time: 0.8671 data: 0.0003 max mem: 29859 [07:14:29.479741] Epoch: [252] [600/850] eta: 0:03:38 lr: 0.001965 loss: 0.0192 (0.0193) loss_rec_all: 0.0555 (0.0555) loss_rec_sfr: 0.0781 (0.0808) loss_cl: -0.3683 (-0.3674) time: 0.8671 data: 0.0003 max mem: 29859 [07:14:46.752244] Epoch: [252] [620/850] eta: 0:03:20 lr: 0.001965 loss: 0.0190 (0.0193) loss_rec_all: 0.0552 (0.0555) loss_rec_sfr: 0.0575 (0.0805) loss_cl: -0.3678 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [07:15:04.084584] Epoch: [252] [640/850] eta: 0:03:03 lr: 0.001965 loss: 0.0198 (0.0193) loss_rec_all: 0.0558 (0.0555) loss_rec_sfr: 0.0885 (0.0809) loss_cl: -0.3668 (-0.3674) time: 0.8665 data: 0.0003 max mem: 29859 [07:15:21.434207] Epoch: [252] [660/850] eta: 0:02:45 lr: 0.001965 loss: 0.0184 (0.0193) loss_rec_all: 0.0545 (0.0555) loss_rec_sfr: 0.0813 (0.0808) loss_cl: -0.3665 (-0.3673) time: 0.8674 data: 0.0003 max mem: 29859 [07:15:38.747766] Epoch: [252] [680/850] eta: 0:02:28 lr: 0.001965 loss: 0.0189 (0.0193) loss_rec_all: 0.0551 (0.0555) loss_rec_sfr: 0.0635 (0.0807) loss_cl: -0.3660 (-0.3673) time: 0.8656 data: 0.0002 max mem: 29859 [07:15:56.018543] Epoch: [252] [700/850] eta: 0:02:10 lr: 0.001965 loss: 0.0184 (0.0193) loss_rec_all: 0.0546 (0.0555) loss_rec_sfr: 0.0575 (0.0804) loss_cl: -0.3665 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [07:16:13.398644] Epoch: [252] [720/850] eta: 0:01:53 lr: 0.001965 loss: 0.0179 (0.0193) loss_rec_all: 0.0540 (0.0555) loss_rec_sfr: 0.0591 (0.0803) loss_cl: -0.3672 (-0.3673) time: 0.8689 data: 0.0003 max mem: 29859 [07:16:30.659327] Epoch: [252] [740/850] eta: 0:01:35 lr: 0.001965 loss: 0.0192 (0.0193) loss_rec_all: 0.0552 (0.0555) loss_rec_sfr: 0.0858 (0.0804) loss_cl: -0.3670 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [07:16:47.981539] Epoch: [252] [760/850] eta: 0:01:18 lr: 0.001965 loss: 0.0223 (0.0194) loss_rec_all: 0.0586 (0.0556) loss_rec_sfr: 0.0633 (0.0804) loss_cl: -0.3676 (-0.3673) time: 0.8660 data: 0.0003 max mem: 29859 [07:17:05.297465] Epoch: [252] [780/850] eta: 0:01:00 lr: 0.001964 loss: 0.0223 (0.0195) loss_rec_all: 0.0585 (0.0557) loss_rec_sfr: 0.0635 (0.0805) loss_cl: -0.3679 (-0.3673) time: 0.8657 data: 0.0003 max mem: 29859 [07:17:22.604068] Epoch: [252] [800/850] eta: 0:00:43 lr: 0.001964 loss: 0.0208 (0.0196) loss_rec_all: 0.0571 (0.0557) loss_rec_sfr: 0.0849 (0.0805) loss_cl: -0.3678 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [07:17:39.859819] Epoch: [252] [820/850] eta: 0:00:26 lr: 0.001964 loss: 0.0210 (0.0196) loss_rec_all: 0.0572 (0.0558) loss_rec_sfr: 0.0844 (0.0805) loss_cl: -0.3672 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [07:17:57.299256] Epoch: [252] [840/850] eta: 0:00:08 lr: 0.001964 loss: 0.0206 (0.0197) loss_rec_all: 0.0569 (0.0558) loss_rec_sfr: 0.0644 (0.0804) loss_cl: -0.3672 (-0.3673) time: 0.8719 data: 0.0007 max mem: 29859 [07:18:05.080478] Epoch: [252] [849/850] eta: 0:00:00 lr: 0.001964 loss: 0.0200 (0.0197) loss_rec_all: 0.0561 (0.0558) loss_rec_sfr: 0.0598 (0.0803) loss_cl: -0.3672 (-0.3673) time: 0.8716 data: 0.0007 max mem: 29859 [07:18:05.189860] Epoch: [252] Total time: 0:12:19 (0.8704 s / it) [07:18:05.192678] Averaged stats: lr: 0.001964 loss: 0.0200 (0.0197) loss_rec_all: 0.0561 (0.0558) loss_rec_sfr: 0.0598 (0.0794) loss_cl: -0.3672 (-0.3673) [07:18:05.203950] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [07:18:09.672600] Epoch: [253] [ 0/850] eta: 1:03:17 lr: 0.001964 loss: 0.0210 (0.0210) loss_rec_all: 0.0572 (0.0572) loss_rec_sfr: 0.0645 (0.0645) loss_cl: -0.3665 (-0.3665) time: 4.4679 data: 3.6102 max mem: 29859 [07:18:26.891643] Epoch: [253] [ 20/850] eta: 0:14:17 lr: 0.001964 loss: 0.0194 (0.0205) loss_rec_all: 0.0556 (0.0567) loss_rec_sfr: 0.0791 (0.0752) loss_cl: -0.3670 (-0.3669) time: 0.8609 data: 0.0002 max mem: 29859 [07:18:44.191602] Epoch: [253] [ 40/850] eta: 0:12:50 lr: 0.001964 loss: 0.0190 (0.0202) loss_rec_all: 0.0554 (0.0564) loss_rec_sfr: 0.0741 (0.0767) loss_cl: -0.3670 (-0.3669) time: 0.8649 data: 0.0002 max mem: 29859 [07:19:01.506439] Epoch: [253] [ 60/850] eta: 0:12:09 lr: 0.001964 loss: 0.0178 (0.0200) loss_rec_all: 0.0542 (0.0562) loss_rec_sfr: 0.0600 (0.0764) loss_cl: -0.3676 (-0.3671) time: 0.8657 data: 0.0003 max mem: 29859 [07:19:18.794813] Epoch: [253] [ 80/850] eta: 0:11:39 lr: 0.001964 loss: 0.0185 (0.0197) loss_rec_all: 0.0548 (0.0559) loss_rec_sfr: 0.0608 (0.0775) loss_cl: -0.3676 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [07:19:36.065236] Epoch: [253] [100/850] eta: 0:11:14 lr: 0.001964 loss: 0.0168 (0.0193) loss_rec_all: 0.0533 (0.0555) loss_rec_sfr: 0.0578 (0.0763) loss_cl: -0.3675 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [07:19:53.440809] Epoch: [253] [120/850] eta: 0:10:52 lr: 0.001964 loss: 0.0172 (0.0191) loss_rec_all: 0.0534 (0.0553) loss_rec_sfr: 0.0800 (0.0764) loss_cl: -0.3670 (-0.3673) time: 0.8687 data: 0.0004 max mem: 29859 [07:20:10.717258] Epoch: [253] [140/850] eta: 0:10:31 lr: 0.001964 loss: 0.0181 (0.0191) loss_rec_all: 0.0545 (0.0553) loss_rec_sfr: 0.0622 (0.0756) loss_cl: -0.3674 (-0.3673) time: 0.8638 data: 0.0003 max mem: 29859 [07:20:28.016407] Epoch: [253] [160/850] eta: 0:10:11 lr: 0.001963 loss: 0.0171 (0.0190) loss_rec_all: 0.0534 (0.0552) loss_rec_sfr: 0.0559 (0.0751) loss_cl: -0.3669 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [07:20:45.402345] Epoch: [253] [180/850] eta: 0:09:52 lr: 0.001963 loss: 0.0179 (0.0189) loss_rec_all: 0.0543 (0.0551) loss_rec_sfr: 0.0558 (0.0742) loss_cl: -0.3672 (-0.3672) time: 0.8692 data: 0.0003 max mem: 29859 [07:21:02.743770] Epoch: [253] [200/850] eta: 0:09:34 lr: 0.001963 loss: 0.0172 (0.0188) loss_rec_all: 0.0535 (0.0550) loss_rec_sfr: 0.0802 (0.0746) loss_cl: -0.3672 (-0.3672) time: 0.8670 data: 0.0003 max mem: 29859 [07:21:20.007956] Epoch: [253] [220/850] eta: 0:09:15 lr: 0.001963 loss: 0.0178 (0.0188) loss_rec_all: 0.0542 (0.0550) loss_rec_sfr: 0.0708 (0.0749) loss_cl: -0.3672 (-0.3672) time: 0.8632 data: 0.0002 max mem: 29859 [07:21:37.372179] Epoch: [253] [240/850] eta: 0:08:56 lr: 0.001963 loss: 0.0190 (0.0188) loss_rec_all: 0.0549 (0.0550) loss_rec_sfr: 0.0648 (0.0754) loss_cl: -0.3672 (-0.3672) time: 0.8681 data: 0.0003 max mem: 29859 [07:21:54.690628] Epoch: [253] [260/850] eta: 0:08:38 lr: 0.001963 loss: 0.0177 (0.0187) loss_rec_all: 0.0540 (0.0549) loss_rec_sfr: 0.0580 (0.0749) loss_cl: -0.3672 (-0.3672) time: 0.8659 data: 0.0003 max mem: 29859 [07:22:11.989489] Epoch: [253] [280/850] eta: 0:08:20 lr: 0.001963 loss: 0.0181 (0.0187) loss_rec_all: 0.0544 (0.0549) loss_rec_sfr: 0.0648 (0.0747) loss_cl: -0.3676 (-0.3672) time: 0.8649 data: 0.0002 max mem: 29859 [07:22:29.273705] Epoch: [253] [300/850] eta: 0:08:02 lr: 0.001963 loss: 0.0180 (0.0187) loss_rec_all: 0.0541 (0.0549) loss_rec_sfr: 0.0949 (0.0755) loss_cl: -0.3677 (-0.3673) time: 0.8642 data: 0.0003 max mem: 29859 [07:22:46.673753] Epoch: [253] [320/850] eta: 0:07:44 lr: 0.001963 loss: 0.0170 (0.0186) loss_rec_all: 0.0532 (0.0548) loss_rec_sfr: 0.0550 (0.0754) loss_cl: -0.3683 (-0.3673) time: 0.8699 data: 0.0004 max mem: 29859 [07:23:03.954557] Epoch: [253] [340/850] eta: 0:07:26 lr: 0.001963 loss: 0.0167 (0.0185) loss_rec_all: 0.0529 (0.0547) loss_rec_sfr: 0.0728 (0.0753) loss_cl: -0.3683 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [07:23:21.282814] Epoch: [253] [360/850] eta: 0:07:08 lr: 0.001963 loss: 0.0174 (0.0185) loss_rec_all: 0.0535 (0.0547) loss_rec_sfr: 0.0779 (0.0755) loss_cl: -0.3675 (-0.3674) time: 0.8663 data: 0.0002 max mem: 29859 [07:23:38.635436] Epoch: [253] [380/850] eta: 0:06:51 lr: 0.001962 loss: 0.0181 (0.0185) loss_rec_all: 0.0541 (0.0547) loss_rec_sfr: 0.0578 (0.0751) loss_cl: -0.3669 (-0.3673) time: 0.8676 data: 0.0004 max mem: 29859 [07:23:55.957139] Epoch: [253] [400/850] eta: 0:06:33 lr: 0.001962 loss: 0.0175 (0.0185) loss_rec_all: 0.0535 (0.0547) loss_rec_sfr: 0.0547 (0.0746) loss_cl: -0.3667 (-0.3673) time: 0.8660 data: 0.0002 max mem: 29859 [07:24:13.221228] Epoch: [253] [420/850] eta: 0:06:15 lr: 0.001962 loss: 0.0190 (0.0186) loss_rec_all: 0.0553 (0.0548) loss_rec_sfr: 0.0586 (0.0747) loss_cl: -0.3664 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [07:24:30.678140] Epoch: [253] [440/850] eta: 0:05:58 lr: 0.001962 loss: 0.0184 (0.0186) loss_rec_all: 0.0546 (0.0548) loss_rec_sfr: 0.0601 (0.0745) loss_cl: -0.3672 (-0.3673) time: 0.8728 data: 0.0004 max mem: 29859 [07:24:47.948473] Epoch: [253] [460/850] eta: 0:05:40 lr: 0.001962 loss: 0.0188 (0.0186) loss_rec_all: 0.0552 (0.0549) loss_rec_sfr: 0.0827 (0.0748) loss_cl: -0.3681 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [07:25:05.244991] Epoch: [253] [480/850] eta: 0:05:23 lr: 0.001962 loss: 0.0184 (0.0187) loss_rec_all: 0.0548 (0.0549) loss_rec_sfr: 0.0616 (0.0750) loss_cl: -0.3674 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [07:25:22.581102] Epoch: [253] [500/850] eta: 0:05:05 lr: 0.001962 loss: 0.0195 (0.0188) loss_rec_all: 0.0558 (0.0550) loss_rec_sfr: 0.0839 (0.0753) loss_cl: -0.3669 (-0.3673) time: 0.8667 data: 0.0004 max mem: 29859 [07:25:39.881281] Epoch: [253] [520/850] eta: 0:04:47 lr: 0.001962 loss: 0.0190 (0.0188) loss_rec_all: 0.0552 (0.0550) loss_rec_sfr: 0.0964 (0.0757) loss_cl: -0.3667 (-0.3673) time: 0.8650 data: 0.0003 max mem: 29859 [07:25:57.126124] Epoch: [253] [540/850] eta: 0:04:30 lr: 0.001962 loss: 0.0173 (0.0187) loss_rec_all: 0.0535 (0.0549) loss_rec_sfr: 0.0545 (0.0756) loss_cl: -0.3672 (-0.3672) time: 0.8622 data: 0.0003 max mem: 29859 [07:26:14.483325] Epoch: [253] [560/850] eta: 0:04:12 lr: 0.001962 loss: 0.0174 (0.0187) loss_rec_all: 0.0537 (0.0549) loss_rec_sfr: 0.0781 (0.0757) loss_cl: -0.3673 (-0.3673) time: 0.8678 data: 0.0003 max mem: 29859 [07:26:31.795922] Epoch: [253] [580/850] eta: 0:03:55 lr: 0.001962 loss: 0.0181 (0.0187) loss_rec_all: 0.0546 (0.0549) loss_rec_sfr: 0.0636 (0.0757) loss_cl: -0.3682 (-0.3673) time: 0.8656 data: 0.0011 max mem: 29859 [07:26:49.087587] Epoch: [253] [600/850] eta: 0:03:37 lr: 0.001961 loss: 0.0186 (0.0187) loss_rec_all: 0.0551 (0.0549) loss_rec_sfr: 0.0570 (0.0758) loss_cl: -0.3680 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [07:27:06.372172] Epoch: [253] [620/850] eta: 0:03:20 lr: 0.001961 loss: 0.0184 (0.0187) loss_rec_all: 0.0546 (0.0549) loss_rec_sfr: 0.0642 (0.0760) loss_cl: -0.3675 (-0.3673) time: 0.8641 data: 0.0003 max mem: 29859 [07:27:23.780003] Epoch: [253] [640/850] eta: 0:03:02 lr: 0.001961 loss: 0.0180 (0.0187) loss_rec_all: 0.0542 (0.0549) loss_rec_sfr: 0.0571 (0.0759) loss_cl: -0.3674 (-0.3673) time: 0.8703 data: 0.0004 max mem: 29859 [07:27:41.003451] Epoch: [253] [660/850] eta: 0:02:45 lr: 0.001961 loss: 0.0196 (0.0188) loss_rec_all: 0.0555 (0.0550) loss_rec_sfr: 0.0845 (0.0760) loss_cl: -0.3677 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [07:27:58.322954] Epoch: [253] [680/850] eta: 0:02:28 lr: 0.001961 loss: 0.0188 (0.0188) loss_rec_all: 0.0551 (0.0550) loss_rec_sfr: 0.0617 (0.0760) loss_cl: -0.3676 (-0.3673) time: 0.8659 data: 0.0003 max mem: 29859 [07:28:15.666998] Epoch: [253] [700/850] eta: 0:02:10 lr: 0.001961 loss: 0.0186 (0.0189) loss_rec_all: 0.0550 (0.0551) loss_rec_sfr: 0.0631 (0.0759) loss_cl: -0.3677 (-0.3673) time: 0.8671 data: 0.0003 max mem: 29859 [07:28:32.961548] Epoch: [253] [720/850] eta: 0:01:53 lr: 0.001961 loss: 0.0205 (0.0189) loss_rec_all: 0.0566 (0.0551) loss_rec_sfr: 0.0950 (0.0762) loss_cl: -0.3672 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [07:28:50.229746] Epoch: [253] [740/850] eta: 0:01:35 lr: 0.001961 loss: 0.0189 (0.0190) loss_rec_all: 0.0552 (0.0552) loss_rec_sfr: 0.0621 (0.0762) loss_cl: -0.3671 (-0.3673) time: 0.8633 data: 0.0003 max mem: 29859 [07:29:07.630740] Epoch: [253] [760/850] eta: 0:01:18 lr: 0.001961 loss: 0.0188 (0.0190) loss_rec_all: 0.0551 (0.0552) loss_rec_sfr: 0.0609 (0.0762) loss_cl: -0.3675 (-0.3673) time: 0.8700 data: 0.0006 max mem: 29859 [07:29:24.909000] Epoch: [253] [780/850] eta: 0:01:00 lr: 0.001961 loss: 0.0188 (0.0190) loss_rec_all: 0.0550 (0.0552) loss_rec_sfr: 0.0616 (0.0762) loss_cl: -0.3669 (-0.3673) time: 0.8639 data: 0.0003 max mem: 29859 [07:29:42.214922] Epoch: [253] [800/850] eta: 0:00:43 lr: 0.001961 loss: 0.0192 (0.0191) loss_rec_all: 0.0552 (0.0553) loss_rec_sfr: 0.0767 (0.0763) loss_cl: -0.3667 (-0.3673) time: 0.8652 data: 0.0002 max mem: 29859 [07:29:59.530750] Epoch: [253] [820/850] eta: 0:00:26 lr: 0.001960 loss: 0.0181 (0.0191) loss_rec_all: 0.0544 (0.0553) loss_rec_sfr: 0.0583 (0.0761) loss_cl: -0.3673 (-0.3673) time: 0.8657 data: 0.0003 max mem: 29859 [07:30:16.881250] Epoch: [253] [840/850] eta: 0:00:08 lr: 0.001960 loss: 0.0192 (0.0191) loss_rec_all: 0.0554 (0.0553) loss_rec_sfr: 0.0600 (0.0760) loss_cl: -0.3667 (-0.3673) time: 0.8675 data: 0.0007 max mem: 29859 [07:30:24.647424] Epoch: [253] [849/850] eta: 0:00:00 lr: 0.001960 loss: 0.0190 (0.0191) loss_rec_all: 0.0553 (0.0553) loss_rec_sfr: 0.0781 (0.0762) loss_cl: -0.3668 (-0.3673) time: 0.8655 data: 0.0006 max mem: 29859 [07:30:24.799227] Epoch: [253] Total time: 0:12:19 (0.8701 s / it) [07:30:24.801628] Averaged stats: lr: 0.001960 loss: 0.0190 (0.0192) loss_rec_all: 0.0553 (0.0554) loss_rec_sfr: 0.0781 (0.0774) loss_cl: -0.3668 (-0.3673) [07:30:24.810758] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [07:30:28.810859] Epoch: [254] [ 0/850] eta: 0:56:39 lr: 0.001960 loss: 0.0178 (0.0178) loss_rec_all: 0.0538 (0.0538) loss_rec_sfr: 0.1017 (0.1017) loss_cl: -0.3673 (-0.3673) time: 3.9992 data: 3.1411 max mem: 29859 [07:30:46.037115] Epoch: [254] [ 20/850] eta: 0:13:58 lr: 0.001960 loss: 0.0187 (0.0189) loss_rec_all: 0.0551 (0.0550) loss_rec_sfr: 0.0758 (0.0808) loss_cl: -0.3674 (-0.3672) time: 0.8612 data: 0.0002 max mem: 29859 [07:31:03.429497] Epoch: [254] [ 40/850] eta: 0:12:42 lr: 0.001960 loss: 0.0175 (0.0184) loss_rec_all: 0.0535 (0.0545) loss_rec_sfr: 0.0763 (0.0808) loss_cl: -0.3673 (-0.3672) time: 0.8695 data: 0.0004 max mem: 29859 [07:31:20.679896] Epoch: [254] [ 60/850] eta: 0:12:03 lr: 0.001960 loss: 0.0178 (0.0183) loss_rec_all: 0.0541 (0.0545) loss_rec_sfr: 0.0613 (0.0791) loss_cl: -0.3673 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [07:31:37.968600] Epoch: [254] [ 80/850] eta: 0:11:35 lr: 0.001960 loss: 0.0178 (0.0183) loss_rec_all: 0.0542 (0.0545) loss_rec_sfr: 0.0564 (0.0760) loss_cl: -0.3678 (-0.3675) time: 0.8644 data: 0.0002 max mem: 29859 [07:31:55.276671] Epoch: [254] [100/850] eta: 0:11:11 lr: 0.001960 loss: 0.0178 (0.0183) loss_rec_all: 0.0542 (0.0545) loss_rec_sfr: 0.0775 (0.0766) loss_cl: -0.3677 (-0.3675) time: 0.8653 data: 0.0003 max mem: 29859 [07:32:12.608165] Epoch: [254] [120/850] eta: 0:10:50 lr: 0.001960 loss: 0.0180 (0.0184) loss_rec_all: 0.0543 (0.0546) loss_rec_sfr: 0.0780 (0.0768) loss_cl: -0.3669 (-0.3673) time: 0.8665 data: 0.0004 max mem: 29859 [07:32:29.878543] Epoch: [254] [140/850] eta: 0:10:29 lr: 0.001960 loss: 0.0195 (0.0185) loss_rec_all: 0.0554 (0.0547) loss_rec_sfr: 0.0796 (0.0779) loss_cl: -0.3668 (-0.3672) time: 0.8634 data: 0.0003 max mem: 29859 [07:32:47.205509] Epoch: [254] [160/850] eta: 0:10:10 lr: 0.001960 loss: 0.0172 (0.0185) loss_rec_all: 0.0534 (0.0547) loss_rec_sfr: 0.0788 (0.0780) loss_cl: -0.3672 (-0.3673) time: 0.8663 data: 0.0003 max mem: 29859 [07:33:04.526652] Epoch: [254] [180/850] eta: 0:09:51 lr: 0.001960 loss: 0.0180 (0.0185) loss_rec_all: 0.0540 (0.0547) loss_rec_sfr: 0.0810 (0.0786) loss_cl: -0.3682 (-0.3673) time: 0.8660 data: 0.0004 max mem: 29859 [07:33:21.836962] Epoch: [254] [200/850] eta: 0:09:32 lr: 0.001959 loss: 0.0188 (0.0187) loss_rec_all: 0.0548 (0.0549) loss_rec_sfr: 0.0790 (0.0790) loss_cl: -0.3679 (-0.3674) time: 0.8655 data: 0.0002 max mem: 29859 [07:33:39.097234] Epoch: [254] [220/850] eta: 0:09:13 lr: 0.001959 loss: 0.0183 (0.0187) loss_rec_all: 0.0544 (0.0549) loss_rec_sfr: 0.0606 (0.0792) loss_cl: -0.3671 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [07:33:56.502194] Epoch: [254] [240/850] eta: 0:08:55 lr: 0.001959 loss: 0.0196 (0.0188) loss_rec_all: 0.0559 (0.0549) loss_rec_sfr: 0.0608 (0.0792) loss_cl: -0.3668 (-0.3673) time: 0.8702 data: 0.0004 max mem: 29859 [07:34:13.778400] Epoch: [254] [260/850] eta: 0:08:37 lr: 0.001959 loss: 0.0206 (0.0189) loss_rec_all: 0.0566 (0.0551) loss_rec_sfr: 0.0847 (0.0800) loss_cl: -0.3665 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [07:34:31.065880] Epoch: [254] [280/850] eta: 0:08:19 lr: 0.001959 loss: 0.0194 (0.0190) loss_rec_all: 0.0555 (0.0551) loss_rec_sfr: 0.0571 (0.0799) loss_cl: -0.3674 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [07:34:48.374826] Epoch: [254] [300/850] eta: 0:08:01 lr: 0.001959 loss: 0.0178 (0.0190) loss_rec_all: 0.0542 (0.0551) loss_rec_sfr: 0.0755 (0.0800) loss_cl: -0.3680 (-0.3673) time: 0.8654 data: 0.0003 max mem: 29859 [07:35:05.685014] Epoch: [254] [320/850] eta: 0:07:43 lr: 0.001959 loss: 0.0169 (0.0189) loss_rec_all: 0.0533 (0.0551) loss_rec_sfr: 0.0564 (0.0795) loss_cl: -0.3683 (-0.3674) time: 0.8655 data: 0.0003 max mem: 29859 [07:35:22.961070] Epoch: [254] [340/850] eta: 0:07:25 lr: 0.001959 loss: 0.0167 (0.0188) loss_rec_all: 0.0530 (0.0550) loss_rec_sfr: 0.0560 (0.0792) loss_cl: -0.3673 (-0.3674) time: 0.8638 data: 0.0011 max mem: 29859 [07:35:40.322544] Epoch: [254] [360/850] eta: 0:07:08 lr: 0.001959 loss: 0.0184 (0.0188) loss_rec_all: 0.0543 (0.0550) loss_rec_sfr: 0.0805 (0.0792) loss_cl: -0.3672 (-0.3674) time: 0.8680 data: 0.0006 max mem: 29859 [07:35:57.600744] Epoch: [254] [380/850] eta: 0:06:50 lr: 0.001959 loss: 0.0173 (0.0188) loss_rec_all: 0.0535 (0.0549) loss_rec_sfr: 0.0775 (0.0792) loss_cl: -0.3668 (-0.3673) time: 0.8638 data: 0.0003 max mem: 29859 [07:36:14.896970] Epoch: [254] [400/850] eta: 0:06:32 lr: 0.001959 loss: 0.0174 (0.0187) loss_rec_all: 0.0537 (0.0549) loss_rec_sfr: 0.0787 (0.0793) loss_cl: -0.3668 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [07:36:32.185497] Epoch: [254] [420/850] eta: 0:06:15 lr: 0.001958 loss: 0.0181 (0.0187) loss_rec_all: 0.0542 (0.0549) loss_rec_sfr: 0.0642 (0.0790) loss_cl: -0.3674 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [07:36:49.533089] Epoch: [254] [440/850] eta: 0:05:57 lr: 0.001958 loss: 0.0176 (0.0187) loss_rec_all: 0.0537 (0.0549) loss_rec_sfr: 0.0604 (0.0787) loss_cl: -0.3677 (-0.3673) time: 0.8673 data: 0.0004 max mem: 29859 [07:37:06.773830] Epoch: [254] [460/850] eta: 0:05:40 lr: 0.001958 loss: 0.0194 (0.0187) loss_rec_all: 0.0554 (0.0549) loss_rec_sfr: 0.0802 (0.0790) loss_cl: -0.3678 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [07:37:24.076660] Epoch: [254] [480/850] eta: 0:05:22 lr: 0.001958 loss: 0.0179 (0.0187) loss_rec_all: 0.0543 (0.0549) loss_rec_sfr: 0.0592 (0.0787) loss_cl: -0.3677 (-0.3674) time: 0.8651 data: 0.0002 max mem: 29859 [07:37:41.410718] Epoch: [254] [500/850] eta: 0:05:04 lr: 0.001958 loss: 0.0182 (0.0188) loss_rec_all: 0.0545 (0.0549) loss_rec_sfr: 0.0823 (0.0789) loss_cl: -0.3672 (-0.3673) time: 0.8666 data: 0.0004 max mem: 29859 [07:37:58.692234] Epoch: [254] [520/850] eta: 0:04:47 lr: 0.001958 loss: 0.0186 (0.0188) loss_rec_all: 0.0547 (0.0550) loss_rec_sfr: 0.0691 (0.0789) loss_cl: -0.3664 (-0.3673) time: 0.8640 data: 0.0003 max mem: 29859 [07:38:15.956342] Epoch: [254] [540/850] eta: 0:04:29 lr: 0.001958 loss: 0.0188 (0.0188) loss_rec_all: 0.0549 (0.0550) loss_rec_sfr: 0.0811 (0.0790) loss_cl: -0.3665 (-0.3673) time: 0.8631 data: 0.0006 max mem: 29859 [07:38:33.352734] Epoch: [254] [560/850] eta: 0:04:12 lr: 0.001958 loss: 0.0181 (0.0188) loss_rec_all: 0.0541 (0.0550) loss_rec_sfr: 0.0796 (0.0792) loss_cl: -0.3671 (-0.3673) time: 0.8698 data: 0.0003 max mem: 29859 [07:38:50.617529] Epoch: [254] [580/850] eta: 0:03:55 lr: 0.001958 loss: 0.0187 (0.0188) loss_rec_all: 0.0551 (0.0550) loss_rec_sfr: 0.0626 (0.0790) loss_cl: -0.3682 (-0.3673) time: 0.8632 data: 0.0003 max mem: 29859 [07:39:07.930836] Epoch: [254] [600/850] eta: 0:03:37 lr: 0.001958 loss: 0.0178 (0.0188) loss_rec_all: 0.0540 (0.0550) loss_rec_sfr: 0.0619 (0.0788) loss_cl: -0.3688 (-0.3673) time: 0.8656 data: 0.0002 max mem: 29859 [07:39:25.244845] Epoch: [254] [620/850] eta: 0:03:20 lr: 0.001958 loss: 0.0179 (0.0188) loss_rec_all: 0.0544 (0.0550) loss_rec_sfr: 0.0608 (0.0788) loss_cl: -0.3681 (-0.3674) time: 0.8656 data: 0.0003 max mem: 29859 [07:39:42.575890] Epoch: [254] [640/850] eta: 0:03:02 lr: 0.001957 loss: 0.0182 (0.0188) loss_rec_all: 0.0542 (0.0550) loss_rec_sfr: 0.0715 (0.0787) loss_cl: -0.3674 (-0.3674) time: 0.8665 data: 0.0003 max mem: 29859 [07:39:59.822245] Epoch: [254] [660/850] eta: 0:02:45 lr: 0.001957 loss: 0.0182 (0.0189) loss_rec_all: 0.0543 (0.0550) loss_rec_sfr: 0.0564 (0.0784) loss_cl: -0.3667 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [07:40:17.152219] Epoch: [254] [680/850] eta: 0:02:27 lr: 0.001957 loss: 0.0196 (0.0189) loss_rec_all: 0.0556 (0.0551) loss_rec_sfr: 0.0726 (0.0785) loss_cl: -0.3666 (-0.3673) time: 0.8664 data: 0.0002 max mem: 29859 [07:40:34.462105] Epoch: [254] [700/850] eta: 0:02:10 lr: 0.001957 loss: 0.0195 (0.0189) loss_rec_all: 0.0557 (0.0551) loss_rec_sfr: 0.0766 (0.0785) loss_cl: -0.3672 (-0.3673) time: 0.8654 data: 0.0003 max mem: 29859 [07:40:51.765593] Epoch: [254] [720/850] eta: 0:01:53 lr: 0.001957 loss: 0.0182 (0.0189) loss_rec_all: 0.0545 (0.0551) loss_rec_sfr: 0.0595 (0.0784) loss_cl: -0.3677 (-0.3673) time: 0.8651 data: 0.0003 max mem: 29859 [07:41:09.069219] Epoch: [254] [740/850] eta: 0:01:35 lr: 0.001957 loss: 0.0184 (0.0190) loss_rec_all: 0.0547 (0.0551) loss_rec_sfr: 0.0775 (0.0784) loss_cl: -0.3681 (-0.3673) time: 0.8651 data: 0.0003 max mem: 29859 [07:41:26.424872] Epoch: [254] [760/850] eta: 0:01:18 lr: 0.001957 loss: 0.0173 (0.0189) loss_rec_all: 0.0534 (0.0551) loss_rec_sfr: 0.0590 (0.0784) loss_cl: -0.3673 (-0.3673) time: 0.8677 data: 0.0004 max mem: 29859 [07:41:43.673765] Epoch: [254] [780/850] eta: 0:01:00 lr: 0.001957 loss: 0.0178 (0.0189) loss_rec_all: 0.0540 (0.0551) loss_rec_sfr: 0.0604 (0.0782) loss_cl: -0.3665 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [07:42:00.976630] Epoch: [254] [800/850] eta: 0:00:43 lr: 0.001957 loss: 0.0171 (0.0189) loss_rec_all: 0.0530 (0.0551) loss_rec_sfr: 0.0607 (0.0781) loss_cl: -0.3664 (-0.3673) time: 0.8651 data: 0.0002 max mem: 29859 [07:42:18.289222] Epoch: [254] [820/850] eta: 0:00:26 lr: 0.001957 loss: 0.0184 (0.0189) loss_rec_all: 0.0544 (0.0551) loss_rec_sfr: 0.0775 (0.0782) loss_cl: -0.3669 (-0.3673) time: 0.8656 data: 0.0002 max mem: 29859 [07:42:35.587274] Epoch: [254] [840/850] eta: 0:00:08 lr: 0.001957 loss: 0.0185 (0.0189) loss_rec_all: 0.0548 (0.0551) loss_rec_sfr: 0.0841 (0.0783) loss_cl: -0.3672 (-0.3673) time: 0.8648 data: 0.0005 max mem: 29859 [07:42:43.347719] Epoch: [254] [849/850] eta: 0:00:00 lr: 0.001956 loss: 0.0203 (0.0189) loss_rec_all: 0.0563 (0.0551) loss_rec_sfr: 0.0866 (0.0784) loss_cl: -0.3673 (-0.3673) time: 0.8644 data: 0.0005 max mem: 29859 [07:42:43.464426] Epoch: [254] Total time: 0:12:18 (0.8690 s / it) [07:42:43.468496] Averaged stats: lr: 0.001956 loss: 0.0203 (0.0189) loss_rec_all: 0.0563 (0.0551) loss_rec_sfr: 0.0866 (0.0788) loss_cl: -0.3673 (-0.3673) [07:42:43.480965] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [07:42:47.893374] Epoch: [255] [ 0/850] eta: 1:02:28 lr: 0.001956 loss: 0.0214 (0.0214) loss_rec_all: 0.0572 (0.0572) loss_rec_sfr: 0.1257 (0.1257) loss_cl: -0.3674 (-0.3674) time: 4.4103 data: 3.5531 max mem: 29859 [07:43:05.175551] Epoch: [255] [ 20/850] eta: 0:14:17 lr: 0.001956 loss: 0.0182 (0.0187) loss_rec_all: 0.0545 (0.0549) loss_rec_sfr: 0.0742 (0.0809) loss_cl: -0.3675 (-0.3674) time: 0.8640 data: 0.0003 max mem: 29859 [07:43:22.480088] Epoch: [255] [ 40/850] eta: 0:12:50 lr: 0.001956 loss: 0.0181 (0.0190) loss_rec_all: 0.0544 (0.0552) loss_rec_sfr: 0.0712 (0.0802) loss_cl: -0.3678 (-0.3676) time: 0.8652 data: 0.0002 max mem: 29859 [07:43:39.721082] Epoch: [255] [ 60/850] eta: 0:12:08 lr: 0.001956 loss: 0.0184 (0.0188) loss_rec_all: 0.0544 (0.0549) loss_rec_sfr: 0.0931 (0.0824) loss_cl: -0.3670 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [07:43:57.057269] Epoch: [255] [ 80/850] eta: 0:11:39 lr: 0.001956 loss: 0.0186 (0.0189) loss_rec_all: 0.0549 (0.0551) loss_rec_sfr: 0.0648 (0.0816) loss_cl: -0.3670 (-0.3673) time: 0.8667 data: 0.0004 max mem: 29859 [07:44:14.341346] Epoch: [255] [100/850] eta: 0:11:14 lr: 0.001956 loss: 0.0173 (0.0188) loss_rec_all: 0.0537 (0.0549) loss_rec_sfr: 0.0582 (0.0810) loss_cl: -0.3670 (-0.3673) time: 0.8640 data: 0.0003 max mem: 29859 [07:44:31.627406] Epoch: [255] [120/850] eta: 0:10:52 lr: 0.001956 loss: 0.0182 (0.0187) loss_rec_all: 0.0542 (0.0549) loss_rec_sfr: 0.0783 (0.0820) loss_cl: -0.3668 (-0.3672) time: 0.8643 data: 0.0003 max mem: 29859 [07:44:48.917723] Epoch: [255] [140/850] eta: 0:10:31 lr: 0.001956 loss: 0.0182 (0.0188) loss_rec_all: 0.0543 (0.0549) loss_rec_sfr: 0.0726 (0.0814) loss_cl: -0.3673 (-0.3672) time: 0.8644 data: 0.0004 max mem: 29859 [07:45:06.288725] Epoch: [255] [160/850] eta: 0:10:11 lr: 0.001956 loss: 0.0183 (0.0188) loss_rec_all: 0.0542 (0.0550) loss_rec_sfr: 0.0813 (0.0820) loss_cl: -0.3675 (-0.3673) time: 0.8685 data: 0.0003 max mem: 29859 [07:45:23.545209] Epoch: [255] [180/850] eta: 0:09:52 lr: 0.001956 loss: 0.0172 (0.0188) loss_rec_all: 0.0533 (0.0550) loss_rec_sfr: 0.0593 (0.0809) loss_cl: -0.3672 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [07:45:40.860976] Epoch: [255] [200/850] eta: 0:09:33 lr: 0.001956 loss: 0.0185 (0.0188) loss_rec_all: 0.0547 (0.0549) loss_rec_sfr: 0.0902 (0.0816) loss_cl: -0.3671 (-0.3672) time: 0.8657 data: 0.0002 max mem: 29859 [07:45:58.191392] Epoch: [255] [220/850] eta: 0:09:15 lr: 0.001955 loss: 0.0189 (0.0188) loss_rec_all: 0.0548 (0.0549) loss_rec_sfr: 0.0921 (0.0821) loss_cl: -0.3672 (-0.3672) time: 0.8664 data: 0.0004 max mem: 29859 [07:46:15.479003] Epoch: [255] [240/850] eta: 0:08:56 lr: 0.001955 loss: 0.0178 (0.0188) loss_rec_all: 0.0541 (0.0549) loss_rec_sfr: 0.0670 (0.0815) loss_cl: -0.3677 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [07:46:32.724635] Epoch: [255] [260/850] eta: 0:08:38 lr: 0.001955 loss: 0.0171 (0.0187) loss_rec_all: 0.0535 (0.0549) loss_rec_sfr: 0.0583 (0.0805) loss_cl: -0.3679 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [07:46:50.107983] Epoch: [255] [280/850] eta: 0:08:20 lr: 0.001955 loss: 0.0171 (0.0186) loss_rec_all: 0.0536 (0.0548) loss_rec_sfr: 0.0594 (0.0799) loss_cl: -0.3679 (-0.3674) time: 0.8691 data: 0.0005 max mem: 29859 [07:47:07.364782] Epoch: [255] [300/850] eta: 0:08:02 lr: 0.001955 loss: 0.0194 (0.0187) loss_rec_all: 0.0553 (0.0549) loss_rec_sfr: 0.0824 (0.0802) loss_cl: -0.3676 (-0.3674) time: 0.8628 data: 0.0003 max mem: 29859 [07:47:24.646044] Epoch: [255] [320/850] eta: 0:07:44 lr: 0.001955 loss: 0.0187 (0.0187) loss_rec_all: 0.0547 (0.0549) loss_rec_sfr: 0.0801 (0.0803) loss_cl: -0.3672 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [07:47:41.974208] Epoch: [255] [340/850] eta: 0:07:26 lr: 0.001955 loss: 0.0179 (0.0188) loss_rec_all: 0.0541 (0.0549) loss_rec_sfr: 0.0638 (0.0802) loss_cl: -0.3670 (-0.3673) time: 0.8663 data: 0.0003 max mem: 29859 [07:47:59.308388] Epoch: [255] [360/850] eta: 0:07:08 lr: 0.001955 loss: 0.0194 (0.0188) loss_rec_all: 0.0556 (0.0550) loss_rec_sfr: 0.0587 (0.0799) loss_cl: -0.3672 (-0.3673) time: 0.8666 data: 0.0002 max mem: 29859 [07:48:16.571907] Epoch: [255] [380/850] eta: 0:06:50 lr: 0.001955 loss: 0.0199 (0.0189) loss_rec_all: 0.0560 (0.0550) loss_rec_sfr: 0.0629 (0.0797) loss_cl: -0.3672 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [07:48:33.913053] Epoch: [255] [400/850] eta: 0:06:33 lr: 0.001955 loss: 0.0195 (0.0189) loss_rec_all: 0.0559 (0.0551) loss_rec_sfr: 0.0602 (0.0789) loss_cl: -0.3674 (-0.3673) time: 0.8670 data: 0.0003 max mem: 29859 [07:48:51.230894] Epoch: [255] [420/850] eta: 0:06:15 lr: 0.001955 loss: 0.0184 (0.0190) loss_rec_all: 0.0547 (0.0551) loss_rec_sfr: 0.0797 (0.0789) loss_cl: -0.3678 (-0.3673) time: 0.8658 data: 0.0003 max mem: 29859 [07:49:08.525800] Epoch: [255] [440/850] eta: 0:05:57 lr: 0.001954 loss: 0.0169 (0.0189) loss_rec_all: 0.0532 (0.0551) loss_rec_sfr: 0.0575 (0.0782) loss_cl: -0.3676 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [07:49:25.795456] Epoch: [255] [460/850] eta: 0:05:40 lr: 0.001954 loss: 0.0178 (0.0189) loss_rec_all: 0.0541 (0.0551) loss_rec_sfr: 0.0556 (0.0778) loss_cl: -0.3675 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [07:49:43.151971] Epoch: [255] [480/850] eta: 0:05:22 lr: 0.001954 loss: 0.0174 (0.0189) loss_rec_all: 0.0537 (0.0551) loss_rec_sfr: 0.0572 (0.0776) loss_cl: -0.3672 (-0.3673) time: 0.8678 data: 0.0003 max mem: 29859 [07:50:00.416838] Epoch: [255] [500/850] eta: 0:05:05 lr: 0.001954 loss: 0.0177 (0.0189) loss_rec_all: 0.0538 (0.0551) loss_rec_sfr: 0.0649 (0.0774) loss_cl: -0.3666 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [07:50:17.725375] Epoch: [255] [520/850] eta: 0:04:47 lr: 0.001954 loss: 0.0190 (0.0189) loss_rec_all: 0.0549 (0.0551) loss_rec_sfr: 0.0817 (0.0777) loss_cl: -0.3671 (-0.3673) time: 0.8653 data: 0.0003 max mem: 29859 [07:50:35.039069] Epoch: [255] [540/850] eta: 0:04:30 lr: 0.001954 loss: 0.0194 (0.0189) loss_rec_all: 0.0554 (0.0551) loss_rec_sfr: 0.0809 (0.0779) loss_cl: -0.3678 (-0.3673) time: 0.8656 data: 0.0003 max mem: 29859 [07:50:52.345266] Epoch: [255] [560/850] eta: 0:04:12 lr: 0.001954 loss: 0.0173 (0.0189) loss_rec_all: 0.0538 (0.0551) loss_rec_sfr: 0.0613 (0.0778) loss_cl: -0.3673 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [07:51:09.586226] Epoch: [255] [580/850] eta: 0:03:55 lr: 0.001954 loss: 0.0181 (0.0189) loss_rec_all: 0.0544 (0.0551) loss_rec_sfr: 0.0543 (0.0776) loss_cl: -0.3682 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [07:51:26.998032] Epoch: [255] [600/850] eta: 0:03:37 lr: 0.001954 loss: 0.0194 (0.0190) loss_rec_all: 0.0558 (0.0551) loss_rec_sfr: 0.0616 (0.0776) loss_cl: -0.3681 (-0.3674) time: 0.8705 data: 0.0004 max mem: 29859 [07:51:44.300956] Epoch: [255] [620/850] eta: 0:03:20 lr: 0.001954 loss: 0.0204 (0.0190) loss_rec_all: 0.0562 (0.0552) loss_rec_sfr: 0.0819 (0.0778) loss_cl: -0.3658 (-0.3673) time: 0.8650 data: 0.0003 max mem: 29859 [07:52:01.645516] Epoch: [255] [640/850] eta: 0:03:02 lr: 0.001954 loss: 0.0187 (0.0190) loss_rec_all: 0.0549 (0.0552) loss_rec_sfr: 0.0628 (0.0778) loss_cl: -0.3663 (-0.3673) time: 0.8672 data: 0.0004 max mem: 29859 [07:52:18.898633] Epoch: [255] [660/850] eta: 0:02:45 lr: 0.001953 loss: 0.0186 (0.0190) loss_rec_all: 0.0551 (0.0552) loss_rec_sfr: 0.0636 (0.0777) loss_cl: -0.3675 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [07:52:36.214670] Epoch: [255] [680/850] eta: 0:02:27 lr: 0.001953 loss: 0.0183 (0.0190) loss_rec_all: 0.0544 (0.0552) loss_rec_sfr: 0.0748 (0.0778) loss_cl: -0.3672 (-0.3673) time: 0.8657 data: 0.0003 max mem: 29859 [07:52:53.542263] Epoch: [255] [700/850] eta: 0:02:10 lr: 0.001953 loss: 0.0179 (0.0190) loss_rec_all: 0.0541 (0.0552) loss_rec_sfr: 0.0608 (0.0776) loss_cl: -0.3675 (-0.3673) time: 0.8663 data: 0.0004 max mem: 29859 [07:53:10.855043] Epoch: [255] [720/850] eta: 0:01:53 lr: 0.001953 loss: 0.0192 (0.0190) loss_rec_all: 0.0555 (0.0552) loss_rec_sfr: 0.0670 (0.0778) loss_cl: -0.3676 (-0.3673) time: 0.8656 data: 0.0002 max mem: 29859 [07:53:28.104051] Epoch: [255] [740/850] eta: 0:01:35 lr: 0.001953 loss: 0.0194 (0.0191) loss_rec_all: 0.0558 (0.0553) loss_rec_sfr: 0.0649 (0.0777) loss_cl: -0.3675 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [07:53:45.485774] Epoch: [255] [760/850] eta: 0:01:18 lr: 0.001953 loss: 0.0190 (0.0191) loss_rec_all: 0.0552 (0.0553) loss_rec_sfr: 0.0841 (0.0779) loss_cl: -0.3676 (-0.3674) time: 0.8690 data: 0.0012 max mem: 29859 [07:54:02.764652] Epoch: [255] [780/850] eta: 0:01:00 lr: 0.001953 loss: 0.0209 (0.0192) loss_rec_all: 0.0569 (0.0553) loss_rec_sfr: 0.0876 (0.0782) loss_cl: -0.3669 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [07:54:20.066473] Epoch: [255] [800/850] eta: 0:00:43 lr: 0.001953 loss: 0.0200 (0.0192) loss_rec_all: 0.0559 (0.0554) loss_rec_sfr: 0.0845 (0.0784) loss_cl: -0.3668 (-0.3673) time: 0.8650 data: 0.0002 max mem: 29859 [07:54:37.356619] Epoch: [255] [820/850] eta: 0:00:26 lr: 0.001953 loss: 0.0185 (0.0192) loss_rec_all: 0.0548 (0.0554) loss_rec_sfr: 0.0777 (0.0785) loss_cl: -0.3667 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [07:54:54.796962] Epoch: [255] [840/850] eta: 0:00:08 lr: 0.001953 loss: 0.0187 (0.0192) loss_rec_all: 0.0548 (0.0554) loss_rec_sfr: 0.0599 (0.0784) loss_cl: -0.3668 (-0.3673) time: 0.8720 data: 0.0006 max mem: 29859 [07:55:02.555881] Epoch: [255] [849/850] eta: 0:00:00 lr: 0.001953 loss: 0.0180 (0.0192) loss_rec_all: 0.0542 (0.0554) loss_rec_sfr: 0.0585 (0.0783) loss_cl: -0.3672 (-0.3673) time: 0.8688 data: 0.0005 max mem: 29859 [07:55:02.691735] Epoch: [255] Total time: 0:12:19 (0.8697 s / it) [07:55:02.693765] Averaged stats: lr: 0.001953 loss: 0.0180 (0.0191) loss_rec_all: 0.0542 (0.0553) loss_rec_sfr: 0.0585 (0.0786) loss_cl: -0.3672 (-0.3673) [07:55:02.704219] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [07:55:07.405906] Epoch: [256] [ 0/850] eta: 1:06:35 lr: 0.001953 loss: 0.0165 (0.0165) loss_rec_all: 0.0529 (0.0529) loss_rec_sfr: 0.0533 (0.0533) loss_cl: -0.3681 (-0.3681) time: 4.7009 data: 3.5862 max mem: 29859 [07:55:24.600400] Epoch: [256] [ 20/850] eta: 0:14:25 lr: 0.001953 loss: 0.0199 (0.0194) loss_rec_all: 0.0561 (0.0556) loss_rec_sfr: 0.0829 (0.0836) loss_cl: -0.3679 (-0.3679) time: 0.8597 data: 0.0002 max mem: 29859 [07:55:41.970281] Epoch: [256] [ 40/850] eta: 0:12:55 lr: 0.001952 loss: 0.0175 (0.0187) loss_rec_all: 0.0536 (0.0550) loss_rec_sfr: 0.0556 (0.0770) loss_cl: -0.3675 (-0.3677) time: 0.8684 data: 0.0003 max mem: 29859 [07:55:59.202281] Epoch: [256] [ 60/850] eta: 0:12:11 lr: 0.001952 loss: 0.0166 (0.0184) loss_rec_all: 0.0529 (0.0546) loss_rec_sfr: 0.0594 (0.0765) loss_cl: -0.3675 (-0.3676) time: 0.8615 data: 0.0002 max mem: 29859 [07:56:16.477051] Epoch: [256] [ 80/850] eta: 0:11:41 lr: 0.001952 loss: 0.0171 (0.0184) loss_rec_all: 0.0535 (0.0546) loss_rec_sfr: 0.0539 (0.0757) loss_cl: -0.3675 (-0.3676) time: 0.8637 data: 0.0003 max mem: 29859 [07:56:33.768690] Epoch: [256] [100/850] eta: 0:11:16 lr: 0.001952 loss: 0.0177 (0.0185) loss_rec_all: 0.0537 (0.0547) loss_rec_sfr: 0.0806 (0.0764) loss_cl: -0.3675 (-0.3676) time: 0.8645 data: 0.0003 max mem: 29859 [07:56:51.112288] Epoch: [256] [120/850] eta: 0:10:53 lr: 0.001952 loss: 0.0179 (0.0184) loss_rec_all: 0.0542 (0.0547) loss_rec_sfr: 0.0627 (0.0762) loss_cl: -0.3673 (-0.3675) time: 0.8671 data: 0.0010 max mem: 29859 [07:57:08.484016] Epoch: [256] [140/850] eta: 0:10:33 lr: 0.001952 loss: 0.0189 (0.0185) loss_rec_all: 0.0550 (0.0547) loss_rec_sfr: 0.0667 (0.0771) loss_cl: -0.3676 (-0.3675) time: 0.8685 data: 0.0003 max mem: 29859 [07:57:25.768332] Epoch: [256] [160/850] eta: 0:10:13 lr: 0.001952 loss: 0.0200 (0.0188) loss_rec_all: 0.0562 (0.0550) loss_rec_sfr: 0.0793 (0.0792) loss_cl: -0.3671 (-0.3675) time: 0.8642 data: 0.0002 max mem: 29859 [07:57:43.019709] Epoch: [256] [180/850] eta: 0:09:53 lr: 0.001952 loss: 0.0192 (0.0189) loss_rec_all: 0.0555 (0.0551) loss_rec_sfr: 0.0639 (0.0784) loss_cl: -0.3667 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [07:58:00.407906] Epoch: [256] [200/850] eta: 0:09:34 lr: 0.001952 loss: 0.0213 (0.0192) loss_rec_all: 0.0572 (0.0553) loss_rec_sfr: 0.1044 (0.0806) loss_cl: -0.3672 (-0.3673) time: 0.8693 data: 0.0003 max mem: 29859 [07:58:17.685147] Epoch: [256] [220/850] eta: 0:09:15 lr: 0.001952 loss: 0.0194 (0.0194) loss_rec_all: 0.0555 (0.0555) loss_rec_sfr: 0.0848 (0.0808) loss_cl: -0.3674 (-0.3674) time: 0.8638 data: 0.0003 max mem: 29859 [07:58:34.990228] Epoch: [256] [240/850] eta: 0:08:57 lr: 0.001952 loss: 0.0186 (0.0193) loss_rec_all: 0.0549 (0.0555) loss_rec_sfr: 0.0583 (0.0804) loss_cl: -0.3677 (-0.3674) time: 0.8652 data: 0.0003 max mem: 29859 [07:58:52.304319] Epoch: [256] [260/850] eta: 0:08:38 lr: 0.001951 loss: 0.0178 (0.0193) loss_rec_all: 0.0542 (0.0555) loss_rec_sfr: 0.0583 (0.0795) loss_cl: -0.3680 (-0.3674) time: 0.8656 data: 0.0003 max mem: 29859 [07:59:09.642831] Epoch: [256] [280/850] eta: 0:08:20 lr: 0.001951 loss: 0.0192 (0.0193) loss_rec_all: 0.0550 (0.0555) loss_rec_sfr: 0.0842 (0.0800) loss_cl: -0.3678 (-0.3674) time: 0.8669 data: 0.0004 max mem: 29859 [07:59:26.893141] Epoch: [256] [300/850] eta: 0:08:02 lr: 0.001951 loss: 0.0171 (0.0193) loss_rec_all: 0.0533 (0.0554) loss_rec_sfr: 0.0604 (0.0796) loss_cl: -0.3675 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [07:59:44.231310] Epoch: [256] [320/850] eta: 0:07:44 lr: 0.001951 loss: 0.0169 (0.0192) loss_rec_all: 0.0532 (0.0553) loss_rec_sfr: 0.0590 (0.0791) loss_cl: -0.3677 (-0.3675) time: 0.8668 data: 0.0003 max mem: 29859 [08:00:01.556151] Epoch: [256] [340/850] eta: 0:07:26 lr: 0.001951 loss: 0.0169 (0.0191) loss_rec_all: 0.0532 (0.0553) loss_rec_sfr: 0.0566 (0.0784) loss_cl: -0.3677 (-0.3675) time: 0.8662 data: 0.0003 max mem: 29859 [08:00:18.850643] Epoch: [256] [360/850] eta: 0:07:09 lr: 0.001951 loss: 0.0162 (0.0189) loss_rec_all: 0.0526 (0.0551) loss_rec_sfr: 0.0571 (0.0776) loss_cl: -0.3678 (-0.3675) time: 0.8647 data: 0.0002 max mem: 29859 [08:00:36.117201] Epoch: [256] [380/850] eta: 0:06:51 lr: 0.001951 loss: 0.0191 (0.0189) loss_rec_all: 0.0552 (0.0551) loss_rec_sfr: 0.0738 (0.0778) loss_cl: -0.3670 (-0.3675) time: 0.8633 data: 0.0002 max mem: 29859 [08:00:53.502140] Epoch: [256] [400/850] eta: 0:06:33 lr: 0.001951 loss: 0.0191 (0.0190) loss_rec_all: 0.0551 (0.0551) loss_rec_sfr: 0.0610 (0.0781) loss_cl: -0.3665 (-0.3674) time: 0.8691 data: 0.0004 max mem: 29859 [08:01:10.757834] Epoch: [256] [420/850] eta: 0:06:15 lr: 0.001951 loss: 0.0197 (0.0190) loss_rec_all: 0.0555 (0.0552) loss_rec_sfr: 0.0851 (0.0782) loss_cl: -0.3661 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [08:01:28.048621] Epoch: [256] [440/850] eta: 0:05:58 lr: 0.001951 loss: 0.0179 (0.0190) loss_rec_all: 0.0542 (0.0552) loss_rec_sfr: 0.0571 (0.0778) loss_cl: -0.3668 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [08:01:45.387279] Epoch: [256] [460/850] eta: 0:05:40 lr: 0.001951 loss: 0.0189 (0.0191) loss_rec_all: 0.0550 (0.0552) loss_rec_sfr: 0.0792 (0.0780) loss_cl: -0.3672 (-0.3673) time: 0.8668 data: 0.0003 max mem: 29859 [08:02:02.719237] Epoch: [256] [480/850] eta: 0:05:23 lr: 0.001950 loss: 0.0174 (0.0190) loss_rec_all: 0.0535 (0.0552) loss_rec_sfr: 0.0759 (0.0779) loss_cl: -0.3678 (-0.3673) time: 0.8665 data: 0.0003 max mem: 29859 [08:02:19.969142] Epoch: [256] [500/850] eta: 0:05:05 lr: 0.001950 loss: 0.0176 (0.0190) loss_rec_all: 0.0538 (0.0552) loss_rec_sfr: 0.0548 (0.0776) loss_cl: -0.3682 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [08:02:37.357796] Epoch: [256] [520/850] eta: 0:04:47 lr: 0.001950 loss: 0.0171 (0.0190) loss_rec_all: 0.0535 (0.0551) loss_rec_sfr: 0.0542 (0.0773) loss_cl: -0.3682 (-0.3674) time: 0.8694 data: 0.0004 max mem: 29859 [08:02:54.657391] Epoch: [256] [540/850] eta: 0:04:30 lr: 0.001950 loss: 0.0198 (0.0190) loss_rec_all: 0.0562 (0.0552) loss_rec_sfr: 0.0809 (0.0776) loss_cl: -0.3678 (-0.3674) time: 0.8649 data: 0.0003 max mem: 29859 [08:03:11.940178] Epoch: [256] [560/850] eta: 0:04:12 lr: 0.001950 loss: 0.0172 (0.0190) loss_rec_all: 0.0536 (0.0552) loss_rec_sfr: 0.0578 (0.0774) loss_cl: -0.3674 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [08:03:29.212347] Epoch: [256] [580/850] eta: 0:03:55 lr: 0.001950 loss: 0.0189 (0.0190) loss_rec_all: 0.0547 (0.0552) loss_rec_sfr: 0.0815 (0.0775) loss_cl: -0.3667 (-0.3674) time: 0.8635 data: 0.0003 max mem: 29859 [08:03:46.585699] Epoch: [256] [600/850] eta: 0:03:37 lr: 0.001950 loss: 0.0170 (0.0190) loss_rec_all: 0.0533 (0.0551) loss_rec_sfr: 0.0568 (0.0773) loss_cl: -0.3665 (-0.3673) time: 0.8686 data: 0.0003 max mem: 29859 [08:04:03.811292] Epoch: [256] [620/850] eta: 0:03:20 lr: 0.001950 loss: 0.0182 (0.0190) loss_rec_all: 0.0546 (0.0552) loss_rec_sfr: 0.0650 (0.0774) loss_cl: -0.3672 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [08:04:21.102769] Epoch: [256] [640/850] eta: 0:03:02 lr: 0.001950 loss: 0.0173 (0.0189) loss_rec_all: 0.0534 (0.0551) loss_rec_sfr: 0.0554 (0.0771) loss_cl: -0.3681 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [08:04:38.416800] Epoch: [256] [660/850] eta: 0:02:45 lr: 0.001950 loss: 0.0186 (0.0189) loss_rec_all: 0.0546 (0.0551) loss_rec_sfr: 0.0849 (0.0775) loss_cl: -0.3688 (-0.3674) time: 0.8656 data: 0.0004 max mem: 29859 [08:04:55.712144] Epoch: [256] [680/850] eta: 0:02:28 lr: 0.001950 loss: 0.0172 (0.0189) loss_rec_all: 0.0537 (0.0551) loss_rec_sfr: 0.0542 (0.0774) loss_cl: -0.3683 (-0.3674) time: 0.8647 data: 0.0002 max mem: 29859 [08:05:12.967753] Epoch: [256] [700/850] eta: 0:02:10 lr: 0.001949 loss: 0.0178 (0.0189) loss_rec_all: 0.0540 (0.0551) loss_rec_sfr: 0.0557 (0.0772) loss_cl: -0.3668 (-0.3674) time: 0.8627 data: 0.0003 max mem: 29859 [08:05:30.368405] Epoch: [256] [720/850] eta: 0:01:53 lr: 0.001949 loss: 0.0185 (0.0189) loss_rec_all: 0.0546 (0.0551) loss_rec_sfr: 0.0773 (0.0775) loss_cl: -0.3664 (-0.3674) time: 0.8699 data: 0.0004 max mem: 29859 [08:05:47.623227] Epoch: [256] [740/850] eta: 0:01:35 lr: 0.001949 loss: 0.0188 (0.0189) loss_rec_all: 0.0550 (0.0551) loss_rec_sfr: 0.0652 (0.0773) loss_cl: -0.3662 (-0.3673) time: 0.8627 data: 0.0003 max mem: 29859 [08:06:04.907719] Epoch: [256] [760/850] eta: 0:01:18 lr: 0.001949 loss: 0.0181 (0.0189) loss_rec_all: 0.0539 (0.0551) loss_rec_sfr: 0.0808 (0.0774) loss_cl: -0.3661 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [08:06:22.235386] Epoch: [256] [780/850] eta: 0:01:00 lr: 0.001949 loss: 0.0207 (0.0190) loss_rec_all: 0.0568 (0.0552) loss_rec_sfr: 0.0632 (0.0774) loss_cl: -0.3670 (-0.3673) time: 0.8663 data: 0.0003 max mem: 29859 [08:06:39.629113] Epoch: [256] [800/850] eta: 0:00:43 lr: 0.001949 loss: 0.0183 (0.0190) loss_rec_all: 0.0545 (0.0552) loss_rec_sfr: 0.0593 (0.0774) loss_cl: -0.3675 (-0.3673) time: 0.8696 data: 0.0004 max mem: 29859 [08:06:56.946407] Epoch: [256] [820/850] eta: 0:00:26 lr: 0.001949 loss: 0.0182 (0.0190) loss_rec_all: 0.0547 (0.0552) loss_rec_sfr: 0.0558 (0.0771) loss_cl: -0.3683 (-0.3673) time: 0.8658 data: 0.0003 max mem: 29859 [08:07:14.223915] Epoch: [256] [840/850] eta: 0:00:08 lr: 0.001949 loss: 0.0192 (0.0190) loss_rec_all: 0.0552 (0.0552) loss_rec_sfr: 0.0815 (0.0772) loss_cl: -0.3674 (-0.3673) time: 0.8638 data: 0.0005 max mem: 29859 [08:07:21.994016] Epoch: [256] [849/850] eta: 0:00:00 lr: 0.001949 loss: 0.0178 (0.0190) loss_rec_all: 0.0542 (0.0552) loss_rec_sfr: 0.0808 (0.0772) loss_cl: -0.3677 (-0.3673) time: 0.8643 data: 0.0005 max mem: 29859 [08:07:22.132440] Epoch: [256] Total time: 0:12:19 (0.8699 s / it) [08:07:22.146556] Averaged stats: lr: 0.001949 loss: 0.0178 (0.0190) loss_rec_all: 0.0542 (0.0552) loss_rec_sfr: 0.0808 (0.0779) loss_cl: -0.3677 (-0.3673) [08:07:22.155990] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [08:07:26.629268] Epoch: [257] [ 0/850] eta: 1:03:21 lr: 0.001949 loss: 0.0157 (0.0157) loss_rec_all: 0.0521 (0.0521) loss_rec_sfr: 0.0517 (0.0517) loss_cl: -0.3676 (-0.3676) time: 4.4723 data: 3.6140 max mem: 29859 [08:07:43.942169] Epoch: [257] [ 20/850] eta: 0:14:20 lr: 0.001949 loss: 0.0174 (0.0176) loss_rec_all: 0.0537 (0.0538) loss_rec_sfr: 0.0633 (0.0740) loss_cl: -0.3677 (-0.3677) time: 0.8655 data: 0.0002 max mem: 29859 [08:08:01.229510] Epoch: [257] [ 40/850] eta: 0:12:51 lr: 0.001949 loss: 0.0173 (0.0177) loss_rec_all: 0.0537 (0.0539) loss_rec_sfr: 0.0597 (0.0770) loss_cl: -0.3674 (-0.3676) time: 0.8642 data: 0.0003 max mem: 29859 [08:08:18.463901] Epoch: [257] [ 60/850] eta: 0:12:09 lr: 0.001948 loss: 0.0174 (0.0178) loss_rec_all: 0.0535 (0.0540) loss_rec_sfr: 0.0769 (0.0766) loss_cl: -0.3672 (-0.3674) time: 0.8616 data: 0.0002 max mem: 29859 [08:08:35.835092] Epoch: [257] [ 80/850] eta: 0:11:40 lr: 0.001948 loss: 0.0174 (0.0180) loss_rec_all: 0.0537 (0.0542) loss_rec_sfr: 0.0789 (0.0779) loss_cl: -0.3671 (-0.3673) time: 0.8685 data: 0.0003 max mem: 29859 [08:08:53.104044] Epoch: [257] [100/850] eta: 0:11:15 lr: 0.001948 loss: 0.0170 (0.0180) loss_rec_all: 0.0533 (0.0542) loss_rec_sfr: 0.0555 (0.0768) loss_cl: -0.3672 (-0.3672) time: 0.8634 data: 0.0003 max mem: 29859 [08:09:10.390285] Epoch: [257] [120/850] eta: 0:10:52 lr: 0.001948 loss: 0.0179 (0.0181) loss_rec_all: 0.0542 (0.0543) loss_rec_sfr: 0.0831 (0.0772) loss_cl: -0.3671 (-0.3672) time: 0.8643 data: 0.0002 max mem: 29859 [08:09:27.699609] Epoch: [257] [140/850] eta: 0:10:32 lr: 0.001948 loss: 0.0177 (0.0181) loss_rec_all: 0.0539 (0.0543) loss_rec_sfr: 0.0611 (0.0774) loss_cl: -0.3676 (-0.3673) time: 0.8654 data: 0.0003 max mem: 29859 [08:09:45.042310] Epoch: [257] [160/850] eta: 0:10:12 lr: 0.001948 loss: 0.0170 (0.0181) loss_rec_all: 0.0532 (0.0543) loss_rec_sfr: 0.0878 (0.0787) loss_cl: -0.3682 (-0.3674) time: 0.8671 data: 0.0003 max mem: 29859 [08:10:02.295238] Epoch: [257] [180/850] eta: 0:09:52 lr: 0.001948 loss: 0.0170 (0.0181) loss_rec_all: 0.0534 (0.0543) loss_rec_sfr: 0.0592 (0.0781) loss_cl: -0.3678 (-0.3674) time: 0.8626 data: 0.0002 max mem: 29859 [08:10:19.640830] Epoch: [257] [200/850] eta: 0:09:33 lr: 0.001948 loss: 0.0167 (0.0181) loss_rec_all: 0.0530 (0.0543) loss_rec_sfr: 0.0599 (0.0776) loss_cl: -0.3674 (-0.3674) time: 0.8672 data: 0.0003 max mem: 29859 [08:10:36.974084] Epoch: [257] [220/850] eta: 0:09:15 lr: 0.001948 loss: 0.0175 (0.0181) loss_rec_all: 0.0537 (0.0543) loss_rec_sfr: 0.0781 (0.0778) loss_cl: -0.3671 (-0.3674) time: 0.8666 data: 0.0003 max mem: 29859 [08:10:54.283032] Epoch: [257] [240/850] eta: 0:08:56 lr: 0.001948 loss: 0.0175 (0.0181) loss_rec_all: 0.0538 (0.0543) loss_rec_sfr: 0.0597 (0.0772) loss_cl: -0.3669 (-0.3673) time: 0.8654 data: 0.0003 max mem: 29859 [08:11:11.570565] Epoch: [257] [260/850] eta: 0:08:38 lr: 0.001948 loss: 0.0176 (0.0181) loss_rec_all: 0.0537 (0.0543) loss_rec_sfr: 0.0613 (0.0769) loss_cl: -0.3670 (-0.3673) time: 0.8642 data: 0.0003 max mem: 29859 [08:11:28.973246] Epoch: [257] [280/850] eta: 0:08:20 lr: 0.001947 loss: 0.0172 (0.0181) loss_rec_all: 0.0536 (0.0543) loss_rec_sfr: 0.0548 (0.0762) loss_cl: -0.3668 (-0.3673) time: 0.8701 data: 0.0003 max mem: 29859 [08:11:46.243955] Epoch: [257] [300/850] eta: 0:08:02 lr: 0.001947 loss: 0.0184 (0.0181) loss_rec_all: 0.0547 (0.0543) loss_rec_sfr: 0.0766 (0.0761) loss_cl: -0.3673 (-0.3673) time: 0.8635 data: 0.0009 max mem: 29859 [08:12:03.545856] Epoch: [257] [320/850] eta: 0:07:44 lr: 0.001947 loss: 0.0174 (0.0181) loss_rec_all: 0.0537 (0.0543) loss_rec_sfr: 0.0624 (0.0763) loss_cl: -0.3678 (-0.3673) time: 0.8650 data: 0.0002 max mem: 29859 [08:12:20.878628] Epoch: [257] [340/850] eta: 0:07:26 lr: 0.001947 loss: 0.0177 (0.0181) loss_rec_all: 0.0540 (0.0543) loss_rec_sfr: 0.0746 (0.0762) loss_cl: -0.3681 (-0.3673) time: 0.8666 data: 0.0004 max mem: 29859 [08:12:38.173977] Epoch: [257] [360/850] eta: 0:07:08 lr: 0.001947 loss: 0.0176 (0.0182) loss_rec_all: 0.0540 (0.0544) loss_rec_sfr: 0.0627 (0.0762) loss_cl: -0.3678 (-0.3674) time: 0.8647 data: 0.0002 max mem: 29859 [08:12:55.427523] Epoch: [257] [380/850] eta: 0:06:51 lr: 0.001947 loss: 0.0179 (0.0182) loss_rec_all: 0.0538 (0.0544) loss_rec_sfr: 0.0611 (0.0763) loss_cl: -0.3674 (-0.3674) time: 0.8626 data: 0.0002 max mem: 29859 [08:13:12.825661] Epoch: [257] [400/850] eta: 0:06:33 lr: 0.001947 loss: 0.0173 (0.0182) loss_rec_all: 0.0534 (0.0544) loss_rec_sfr: 0.0608 (0.0762) loss_cl: -0.3674 (-0.3674) time: 0.8698 data: 0.0003 max mem: 29859 [08:13:30.084042] Epoch: [257] [420/850] eta: 0:06:15 lr: 0.001947 loss: 0.0172 (0.0182) loss_rec_all: 0.0534 (0.0544) loss_rec_sfr: 0.0554 (0.0760) loss_cl: -0.3667 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [08:13:47.367603] Epoch: [257] [440/850] eta: 0:05:58 lr: 0.001947 loss: 0.0184 (0.0182) loss_rec_all: 0.0544 (0.0544) loss_rec_sfr: 0.0918 (0.0765) loss_cl: -0.3665 (-0.3673) time: 0.8641 data: 0.0003 max mem: 29859 [08:14:04.679419] Epoch: [257] [460/850] eta: 0:05:40 lr: 0.001947 loss: 0.0200 (0.0183) loss_rec_all: 0.0563 (0.0545) loss_rec_sfr: 0.0929 (0.0771) loss_cl: -0.3668 (-0.3673) time: 0.8655 data: 0.0004 max mem: 29859 [08:14:22.054970] Epoch: [257] [480/850] eta: 0:05:22 lr: 0.001947 loss: 0.0203 (0.0184) loss_rec_all: 0.0562 (0.0546) loss_rec_sfr: 0.0667 (0.0772) loss_cl: -0.3675 (-0.3673) time: 0.8687 data: 0.0003 max mem: 29859 [08:14:39.300527] Epoch: [257] [500/850] eta: 0:05:05 lr: 0.001946 loss: 0.0175 (0.0184) loss_rec_all: 0.0538 (0.0546) loss_rec_sfr: 0.0586 (0.0771) loss_cl: -0.3682 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [08:14:56.653183] Epoch: [257] [520/850] eta: 0:04:47 lr: 0.001946 loss: 0.0178 (0.0184) loss_rec_all: 0.0542 (0.0546) loss_rec_sfr: 0.0614 (0.0769) loss_cl: -0.3681 (-0.3674) time: 0.8676 data: 0.0002 max mem: 29859 [08:15:13.963846] Epoch: [257] [540/850] eta: 0:04:30 lr: 0.001946 loss: 0.0192 (0.0185) loss_rec_all: 0.0552 (0.0547) loss_rec_sfr: 0.0811 (0.0773) loss_cl: -0.3680 (-0.3674) time: 0.8655 data: 0.0003 max mem: 29859 [08:15:31.355351] Epoch: [257] [560/850] eta: 0:04:12 lr: 0.001946 loss: 0.0182 (0.0185) loss_rec_all: 0.0545 (0.0547) loss_rec_sfr: 0.0576 (0.0774) loss_cl: -0.3668 (-0.3673) time: 0.8695 data: 0.0003 max mem: 29859 [08:15:48.627829] Epoch: [257] [580/850] eta: 0:03:55 lr: 0.001946 loss: 0.0193 (0.0185) loss_rec_all: 0.0553 (0.0547) loss_rec_sfr: 0.0789 (0.0773) loss_cl: -0.3668 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [08:16:05.965054] Epoch: [257] [600/850] eta: 0:03:37 lr: 0.001946 loss: 0.0175 (0.0185) loss_rec_all: 0.0538 (0.0547) loss_rec_sfr: 0.0793 (0.0772) loss_cl: -0.3667 (-0.3673) time: 0.8668 data: 0.0003 max mem: 29859 [08:16:23.238403] Epoch: [257] [620/850] eta: 0:03:20 lr: 0.001946 loss: 0.0174 (0.0185) loss_rec_all: 0.0536 (0.0547) loss_rec_sfr: 0.0653 (0.0773) loss_cl: -0.3671 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [08:16:40.559164] Epoch: [257] [640/850] eta: 0:03:02 lr: 0.001946 loss: 0.0177 (0.0185) loss_rec_all: 0.0540 (0.0547) loss_rec_sfr: 0.0615 (0.0773) loss_cl: -0.3677 (-0.3673) time: 0.8660 data: 0.0002 max mem: 29859 [08:16:57.927565] Epoch: [257] [660/850] eta: 0:02:45 lr: 0.001946 loss: 0.0166 (0.0185) loss_rec_all: 0.0530 (0.0547) loss_rec_sfr: 0.0546 (0.0770) loss_cl: -0.3678 (-0.3673) time: 0.8684 data: 0.0003 max mem: 29859 [08:17:15.221434] Epoch: [257] [680/850] eta: 0:02:28 lr: 0.001946 loss: 0.0171 (0.0185) loss_rec_all: 0.0535 (0.0546) loss_rec_sfr: 0.0572 (0.0768) loss_cl: -0.3676 (-0.3673) time: 0.8646 data: 0.0003 max mem: 29859 [08:17:32.461054] Epoch: [257] [700/850] eta: 0:02:10 lr: 0.001946 loss: 0.0183 (0.0185) loss_rec_all: 0.0544 (0.0546) loss_rec_sfr: 0.0620 (0.0769) loss_cl: -0.3672 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [08:17:49.854190] Epoch: [257] [720/850] eta: 0:01:53 lr: 0.001945 loss: 0.0170 (0.0184) loss_rec_all: 0.0534 (0.0546) loss_rec_sfr: 0.0545 (0.0767) loss_cl: -0.3672 (-0.3673) time: 0.8696 data: 0.0004 max mem: 29859 [08:18:07.107216] Epoch: [257] [740/850] eta: 0:01:35 lr: 0.001945 loss: 0.0177 (0.0184) loss_rec_all: 0.0540 (0.0546) loss_rec_sfr: 0.0769 (0.0767) loss_cl: -0.3672 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [08:18:24.406046] Epoch: [257] [760/850] eta: 0:01:18 lr: 0.001945 loss: 0.0172 (0.0184) loss_rec_all: 0.0533 (0.0546) loss_rec_sfr: 0.0796 (0.0768) loss_cl: -0.3677 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [08:18:41.718642] Epoch: [257] [780/850] eta: 0:01:00 lr: 0.001945 loss: 0.0162 (0.0184) loss_rec_all: 0.0524 (0.0546) loss_rec_sfr: 0.0602 (0.0768) loss_cl: -0.3674 (-0.3673) time: 0.8656 data: 0.0002 max mem: 29859 [08:18:59.001962] Epoch: [257] [800/850] eta: 0:00:43 lr: 0.001945 loss: 0.0188 (0.0184) loss_rec_all: 0.0552 (0.0546) loss_rec_sfr: 0.0742 (0.0770) loss_cl: -0.3673 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [08:19:16.242679] Epoch: [257] [820/850] eta: 0:00:26 lr: 0.001945 loss: 0.0231 (0.0185) loss_rec_all: 0.0592 (0.0547) loss_rec_sfr: 0.0692 (0.0773) loss_cl: -0.3669 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [08:19:33.613709] Epoch: [257] [840/850] eta: 0:00:08 lr: 0.001945 loss: 0.0245 (0.0187) loss_rec_all: 0.0607 (0.0549) loss_rec_sfr: 0.0865 (0.0778) loss_cl: -0.3670 (-0.3673) time: 0.8685 data: 0.0008 max mem: 29859 [08:19:41.411926] Epoch: [257] [849/850] eta: 0:00:00 lr: 0.001945 loss: 0.0263 (0.0188) loss_rec_all: 0.0624 (0.0549) loss_rec_sfr: 0.0849 (0.0779) loss_cl: -0.3670 (-0.3673) time: 0.8698 data: 0.0008 max mem: 29859 [08:19:41.556963] Epoch: [257] Total time: 0:12:19 (0.8699 s / it) [08:19:41.587799] Averaged stats: lr: 0.001945 loss: 0.0263 (0.0187) loss_rec_all: 0.0624 (0.0549) loss_rec_sfr: 0.0849 (0.0772) loss_cl: -0.3670 (-0.3673) [08:19:41.596943] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [08:19:46.145318] Epoch: [258] [ 0/850] eta: 1:04:23 lr: 0.001945 loss: 0.0218 (0.0218) loss_rec_all: 0.0581 (0.0581) loss_rec_sfr: 0.0611 (0.0611) loss_cl: -0.3672 (-0.3672) time: 4.5452 data: 2.5698 max mem: 29859 [08:20:03.403327] Epoch: [258] [ 20/850] eta: 0:14:21 lr: 0.001945 loss: 0.0228 (0.0230) loss_rec_all: 0.0587 (0.0591) loss_rec_sfr: 0.0828 (0.0838) loss_cl: -0.3671 (-0.3671) time: 0.8628 data: 0.0003 max mem: 29859 [08:20:20.678340] Epoch: [258] [ 40/850] eta: 0:12:51 lr: 0.001945 loss: 0.0230 (0.0229) loss_rec_all: 0.0588 (0.0590) loss_rec_sfr: 0.0814 (0.0861) loss_cl: -0.3674 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [08:20:37.962058] Epoch: [258] [ 60/850] eta: 0:12:09 lr: 0.001945 loss: 0.0219 (0.0226) loss_rec_all: 0.0577 (0.0587) loss_rec_sfr: 0.0868 (0.0886) loss_cl: -0.3674 (-0.3673) time: 0.8641 data: 0.0003 max mem: 29859 [08:20:55.348891] Epoch: [258] [ 80/850] eta: 0:11:41 lr: 0.001944 loss: 0.0200 (0.0220) loss_rec_all: 0.0562 (0.0582) loss_rec_sfr: 0.0766 (0.0871) loss_cl: -0.3676 (-0.3673) time: 0.8693 data: 0.0005 max mem: 29859 [08:21:12.611313] Epoch: [258] [100/850] eta: 0:11:15 lr: 0.001944 loss: 0.0196 (0.0217) loss_rec_all: 0.0558 (0.0579) loss_rec_sfr: 0.0789 (0.0859) loss_cl: -0.3677 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [08:21:29.910744] Epoch: [258] [120/850] eta: 0:10:53 lr: 0.001944 loss: 0.0183 (0.0213) loss_rec_all: 0.0547 (0.0575) loss_rec_sfr: 0.0630 (0.0839) loss_cl: -0.3677 (-0.3674) time: 0.8649 data: 0.0002 max mem: 29859 [08:21:47.255947] Epoch: [258] [140/850] eta: 0:10:32 lr: 0.001944 loss: 0.0170 (0.0209) loss_rec_all: 0.0533 (0.0570) loss_rec_sfr: 0.0596 (0.0824) loss_cl: -0.3673 (-0.3674) time: 0.8672 data: 0.0003 max mem: 29859 [08:22:04.566972] Epoch: [258] [160/850] eta: 0:10:12 lr: 0.001944 loss: 0.0176 (0.0206) loss_rec_all: 0.0536 (0.0567) loss_rec_sfr: 0.0717 (0.0818) loss_cl: -0.3669 (-0.3673) time: 0.8655 data: 0.0002 max mem: 29859 [08:22:21.837923] Epoch: [258] [180/850] eta: 0:09:53 lr: 0.001944 loss: 0.0183 (0.0203) loss_rec_all: 0.0545 (0.0565) loss_rec_sfr: 0.0795 (0.0817) loss_cl: -0.3670 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [08:22:39.214724] Epoch: [258] [200/850] eta: 0:09:34 lr: 0.001944 loss: 0.0162 (0.0200) loss_rec_all: 0.0525 (0.0562) loss_rec_sfr: 0.0525 (0.0804) loss_cl: -0.3669 (-0.3672) time: 0.8688 data: 0.0003 max mem: 29859 [08:22:56.490685] Epoch: [258] [220/850] eta: 0:09:15 lr: 0.001944 loss: 0.0170 (0.0198) loss_rec_all: 0.0530 (0.0560) loss_rec_sfr: 0.0574 (0.0796) loss_cl: -0.3666 (-0.3672) time: 0.8637 data: 0.0003 max mem: 29859 [08:23:13.798388] Epoch: [258] [240/850] eta: 0:08:57 lr: 0.001944 loss: 0.0170 (0.0196) loss_rec_all: 0.0533 (0.0558) loss_rec_sfr: 0.0586 (0.0788) loss_cl: -0.3675 (-0.3672) time: 0.8653 data: 0.0003 max mem: 29859 [08:23:31.104147] Epoch: [258] [260/850] eta: 0:08:38 lr: 0.001944 loss: 0.0208 (0.0197) loss_rec_all: 0.0569 (0.0558) loss_rec_sfr: 0.0675 (0.0785) loss_cl: -0.3686 (-0.3673) time: 0.8652 data: 0.0003 max mem: 29859 [08:23:48.464254] Epoch: [258] [280/850] eta: 0:08:20 lr: 0.001944 loss: 0.0212 (0.0199) loss_rec_all: 0.0575 (0.0561) loss_rec_sfr: 0.0632 (0.0781) loss_cl: -0.3686 (-0.3674) time: 0.8679 data: 0.0004 max mem: 29859 [08:24:05.730996] Epoch: [258] [300/850] eta: 0:08:02 lr: 0.001944 loss: 0.0194 (0.0199) loss_rec_all: 0.0558 (0.0561) loss_rec_sfr: 0.0590 (0.0781) loss_cl: -0.3677 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [08:24:23.067276] Epoch: [258] [320/850] eta: 0:07:44 lr: 0.001943 loss: 0.0213 (0.0201) loss_rec_all: 0.0575 (0.0563) loss_rec_sfr: 0.0646 (0.0779) loss_cl: -0.3673 (-0.3674) time: 0.8668 data: 0.0003 max mem: 29859 [08:24:40.387278] Epoch: [258] [340/850] eta: 0:07:26 lr: 0.001943 loss: 0.0209 (0.0202) loss_rec_all: 0.0571 (0.0564) loss_rec_sfr: 0.0602 (0.0777) loss_cl: -0.3669 (-0.3674) time: 0.8659 data: 0.0003 max mem: 29859 [08:24:57.687072] Epoch: [258] [360/850] eta: 0:07:09 lr: 0.001943 loss: 0.0207 (0.0202) loss_rec_all: 0.0567 (0.0564) loss_rec_sfr: 0.0837 (0.0784) loss_cl: -0.3668 (-0.3674) time: 0.8649 data: 0.0002 max mem: 29859 [08:25:14.966427] Epoch: [258] [380/850] eta: 0:06:51 lr: 0.001943 loss: 0.0193 (0.0202) loss_rec_all: 0.0553 (0.0564) loss_rec_sfr: 0.0645 (0.0785) loss_cl: -0.3673 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [08:25:32.377452] Epoch: [258] [400/850] eta: 0:06:33 lr: 0.001943 loss: 0.0180 (0.0201) loss_rec_all: 0.0543 (0.0563) loss_rec_sfr: 0.0569 (0.0779) loss_cl: -0.3674 (-0.3674) time: 0.8705 data: 0.0003 max mem: 29859 [08:25:49.630372] Epoch: [258] [420/850] eta: 0:06:15 lr: 0.001943 loss: 0.0174 (0.0201) loss_rec_all: 0.0537 (0.0563) loss_rec_sfr: 0.0582 (0.0776) loss_cl: -0.3672 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [08:26:06.968422] Epoch: [258] [440/850] eta: 0:05:58 lr: 0.001943 loss: 0.0169 (0.0200) loss_rec_all: 0.0531 (0.0562) loss_rec_sfr: 0.0539 (0.0772) loss_cl: -0.3671 (-0.3673) time: 0.8668 data: 0.0006 max mem: 29859 [08:26:24.290324] Epoch: [258] [460/850] eta: 0:05:40 lr: 0.001943 loss: 0.0166 (0.0199) loss_rec_all: 0.0529 (0.0561) loss_rec_sfr: 0.0609 (0.0771) loss_cl: -0.3673 (-0.3673) time: 0.8660 data: 0.0004 max mem: 29859 [08:26:41.579169] Epoch: [258] [480/850] eta: 0:05:23 lr: 0.001943 loss: 0.0181 (0.0198) loss_rec_all: 0.0544 (0.0560) loss_rec_sfr: 0.0566 (0.0768) loss_cl: -0.3674 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [08:26:58.853628] Epoch: [258] [500/850] eta: 0:05:05 lr: 0.001943 loss: 0.0178 (0.0197) loss_rec_all: 0.0539 (0.0559) loss_rec_sfr: 0.0666 (0.0767) loss_cl: -0.3668 (-0.3673) time: 0.8636 data: 0.0003 max mem: 29859 [08:27:16.224222] Epoch: [258] [520/850] eta: 0:04:47 lr: 0.001942 loss: 0.0170 (0.0197) loss_rec_all: 0.0530 (0.0559) loss_rec_sfr: 0.0583 (0.0768) loss_cl: -0.3673 (-0.3673) time: 0.8684 data: 0.0004 max mem: 29859 [08:27:33.487335] Epoch: [258] [540/850] eta: 0:04:30 lr: 0.001942 loss: 0.0169 (0.0196) loss_rec_all: 0.0534 (0.0558) loss_rec_sfr: 0.0627 (0.0768) loss_cl: -0.3674 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [08:27:50.780059] Epoch: [258] [560/850] eta: 0:04:12 lr: 0.001942 loss: 0.0163 (0.0195) loss_rec_all: 0.0526 (0.0557) loss_rec_sfr: 0.0530 (0.0766) loss_cl: -0.3673 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [08:28:08.108549] Epoch: [258] [580/850] eta: 0:03:55 lr: 0.001942 loss: 0.0169 (0.0195) loss_rec_all: 0.0532 (0.0557) loss_rec_sfr: 0.0588 (0.0767) loss_cl: -0.3672 (-0.3673) time: 0.8663 data: 0.0004 max mem: 29859 [08:28:25.415616] Epoch: [258] [600/850] eta: 0:03:37 lr: 0.001942 loss: 0.0181 (0.0194) loss_rec_all: 0.0544 (0.0556) loss_rec_sfr: 0.0836 (0.0770) loss_cl: -0.3673 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [08:28:42.666598] Epoch: [258] [620/850] eta: 0:03:20 lr: 0.001942 loss: 0.0201 (0.0195) loss_rec_all: 0.0560 (0.0557) loss_rec_sfr: 0.0853 (0.0778) loss_cl: -0.3678 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [08:29:00.083438] Epoch: [258] [640/850] eta: 0:03:02 lr: 0.001942 loss: 0.0195 (0.0195) loss_rec_all: 0.0558 (0.0557) loss_rec_sfr: 0.0708 (0.0780) loss_cl: -0.3676 (-0.3673) time: 0.8708 data: 0.0004 max mem: 29859 [08:29:17.394056] Epoch: [258] [660/850] eta: 0:02:45 lr: 0.001942 loss: 0.0186 (0.0195) loss_rec_all: 0.0550 (0.0557) loss_rec_sfr: 0.0605 (0.0780) loss_cl: -0.3673 (-0.3673) time: 0.8654 data: 0.0006 max mem: 29859 [08:29:34.660941] Epoch: [258] [680/850] eta: 0:02:28 lr: 0.001942 loss: 0.0179 (0.0195) loss_rec_all: 0.0541 (0.0557) loss_rec_sfr: 0.0628 (0.0779) loss_cl: -0.3671 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [08:29:51.972766] Epoch: [258] [700/850] eta: 0:02:10 lr: 0.001942 loss: 0.0181 (0.0194) loss_rec_all: 0.0544 (0.0556) loss_rec_sfr: 0.0563 (0.0778) loss_cl: -0.3672 (-0.3673) time: 0.8654 data: 0.0003 max mem: 29859 [08:30:09.323554] Epoch: [258] [720/850] eta: 0:01:53 lr: 0.001942 loss: 0.0181 (0.0194) loss_rec_all: 0.0541 (0.0556) loss_rec_sfr: 0.0859 (0.0780) loss_cl: -0.3666 (-0.3673) time: 0.8675 data: 0.0003 max mem: 29859 [08:30:26.574863] Epoch: [258] [740/850] eta: 0:01:35 lr: 0.001941 loss: 0.0179 (0.0194) loss_rec_all: 0.0539 (0.0556) loss_rec_sfr: 0.0778 (0.0780) loss_cl: -0.3674 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [08:30:43.882239] Epoch: [258] [760/850] eta: 0:01:18 lr: 0.001941 loss: 0.0186 (0.0194) loss_rec_all: 0.0546 (0.0556) loss_rec_sfr: 0.0618 (0.0781) loss_cl: -0.3675 (-0.3673) time: 0.8653 data: 0.0003 max mem: 29859 [08:31:01.172576] Epoch: [258] [780/850] eta: 0:01:00 lr: 0.001941 loss: 0.0188 (0.0194) loss_rec_all: 0.0548 (0.0556) loss_rec_sfr: 0.0740 (0.0781) loss_cl: -0.3676 (-0.3673) time: 0.8645 data: 0.0003 max mem: 29859 [08:31:18.464270] Epoch: [258] [800/850] eta: 0:00:43 lr: 0.001941 loss: 0.0181 (0.0194) loss_rec_all: 0.0545 (0.0556) loss_rec_sfr: 0.0633 (0.0779) loss_cl: -0.3679 (-0.3673) time: 0.8645 data: 0.0003 max mem: 29859 [08:31:35.705341] Epoch: [258] [820/850] eta: 0:00:26 lr: 0.001941 loss: 0.0173 (0.0193) loss_rec_all: 0.0535 (0.0555) loss_rec_sfr: 0.0580 (0.0778) loss_cl: -0.3680 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [08:31:53.079548] Epoch: [258] [840/850] eta: 0:00:08 lr: 0.001941 loss: 0.0189 (0.0193) loss_rec_all: 0.0551 (0.0555) loss_rec_sfr: 0.0782 (0.0780) loss_cl: -0.3673 (-0.3673) time: 0.8686 data: 0.0008 max mem: 29859 [08:32:00.858434] Epoch: [258] [849/850] eta: 0:00:00 lr: 0.001941 loss: 0.0201 (0.0194) loss_rec_all: 0.0565 (0.0555) loss_rec_sfr: 0.0875 (0.0782) loss_cl: -0.3672 (-0.3673) time: 0.8676 data: 0.0007 max mem: 29859 [08:32:00.978186] Epoch: [258] Total time: 0:12:19 (0.8699 s / it) [08:32:00.994275] Averaged stats: lr: 0.001941 loss: 0.0201 (0.0193) loss_rec_all: 0.0565 (0.0555) loss_rec_sfr: 0.0875 (0.0782) loss_cl: -0.3672 (-0.3673) [08:32:01.005900] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [08:32:05.670440] Epoch: [259] [ 0/850] eta: 1:06:04 lr: 0.001941 loss: 0.0238 (0.0238) loss_rec_all: 0.0593 (0.0593) loss_rec_sfr: 0.1475 (0.1475) loss_cl: -0.3656 (-0.3656) time: 4.6636 data: 3.8061 max mem: 29859 [08:32:22.865113] Epoch: [259] [ 20/850] eta: 0:14:23 lr: 0.001941 loss: 0.0192 (0.0200) loss_rec_all: 0.0553 (0.0561) loss_rec_sfr: 0.0841 (0.0906) loss_cl: -0.3674 (-0.3673) time: 0.8597 data: 0.0002 max mem: 29859 [08:32:40.178913] Epoch: [259] [ 40/850] eta: 0:12:53 lr: 0.001941 loss: 0.0178 (0.0194) loss_rec_all: 0.0542 (0.0556) loss_rec_sfr: 0.0636 (0.0823) loss_cl: -0.3674 (-0.3674) time: 0.8656 data: 0.0003 max mem: 29859 [08:32:57.506116] Epoch: [259] [ 60/850] eta: 0:12:11 lr: 0.001941 loss: 0.0191 (0.0194) loss_rec_all: 0.0553 (0.0555) loss_rec_sfr: 0.0611 (0.0821) loss_cl: -0.3675 (-0.3674) time: 0.8663 data: 0.0003 max mem: 29859 [08:33:14.788165] Epoch: [259] [ 80/850] eta: 0:11:41 lr: 0.001941 loss: 0.0177 (0.0190) loss_rec_all: 0.0538 (0.0552) loss_rec_sfr: 0.0625 (0.0797) loss_cl: -0.3673 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [08:33:32.048742] Epoch: [259] [100/850] eta: 0:11:16 lr: 0.001941 loss: 0.0191 (0.0191) loss_rec_all: 0.0552 (0.0552) loss_rec_sfr: 0.0920 (0.0823) loss_cl: -0.3675 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [08:33:49.406406] Epoch: [259] [120/850] eta: 0:10:53 lr: 0.001940 loss: 0.0174 (0.0189) loss_rec_all: 0.0538 (0.0551) loss_rec_sfr: 0.0542 (0.0799) loss_cl: -0.3671 (-0.3673) time: 0.8678 data: 0.0003 max mem: 29859 [08:34:06.654908] Epoch: [259] [140/850] eta: 0:10:32 lr: 0.001940 loss: 0.0175 (0.0188) loss_rec_all: 0.0538 (0.0549) loss_rec_sfr: 0.0622 (0.0794) loss_cl: -0.3668 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [08:34:23.962123] Epoch: [259] [160/850] eta: 0:10:12 lr: 0.001940 loss: 0.0171 (0.0186) loss_rec_all: 0.0534 (0.0548) loss_rec_sfr: 0.0591 (0.0780) loss_cl: -0.3673 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [08:34:41.294414] Epoch: [259] [180/850] eta: 0:09:53 lr: 0.001940 loss: 0.0176 (0.0186) loss_rec_all: 0.0537 (0.0548) loss_rec_sfr: 0.0584 (0.0774) loss_cl: -0.3671 (-0.3673) time: 0.8665 data: 0.0004 max mem: 29859 [08:34:58.600401] Epoch: [259] [200/850] eta: 0:09:34 lr: 0.001940 loss: 0.0174 (0.0186) loss_rec_all: 0.0538 (0.0547) loss_rec_sfr: 0.0643 (0.0772) loss_cl: -0.3672 (-0.3673) time: 0.8652 data: 0.0003 max mem: 29859 [08:35:15.862223] Epoch: [259] [220/850] eta: 0:09:15 lr: 0.001940 loss: 0.0170 (0.0185) loss_rec_all: 0.0534 (0.0547) loss_rec_sfr: 0.0783 (0.0770) loss_cl: -0.3675 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [08:35:33.231837] Epoch: [259] [240/850] eta: 0:08:57 lr: 0.001940 loss: 0.0164 (0.0184) loss_rec_all: 0.0529 (0.0546) loss_rec_sfr: 0.0527 (0.0761) loss_cl: -0.3676 (-0.3673) time: 0.8684 data: 0.0004 max mem: 29859 [08:35:50.490830] Epoch: [259] [260/850] eta: 0:08:38 lr: 0.001940 loss: 0.0175 (0.0184) loss_rec_all: 0.0535 (0.0546) loss_rec_sfr: 0.0616 (0.0762) loss_cl: -0.3673 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [08:36:07.780476] Epoch: [259] [280/850] eta: 0:08:20 lr: 0.001940 loss: 0.0187 (0.0184) loss_rec_all: 0.0545 (0.0546) loss_rec_sfr: 0.0859 (0.0771) loss_cl: -0.3668 (-0.3672) time: 0.8644 data: 0.0002 max mem: 29859 [08:36:25.161165] Epoch: [259] [300/850] eta: 0:08:02 lr: 0.001940 loss: 0.0185 (0.0185) loss_rec_all: 0.0547 (0.0547) loss_rec_sfr: 0.0594 (0.0769) loss_cl: -0.3670 (-0.3672) time: 0.8689 data: 0.0004 max mem: 29859 [08:36:42.482027] Epoch: [259] [320/850] eta: 0:07:44 lr: 0.001939 loss: 0.0190 (0.0185) loss_rec_all: 0.0550 (0.0547) loss_rec_sfr: 0.0829 (0.0773) loss_cl: -0.3670 (-0.3672) time: 0.8660 data: 0.0002 max mem: 29859 [08:36:59.732976] Epoch: [259] [340/850] eta: 0:07:26 lr: 0.001939 loss: 0.0176 (0.0185) loss_rec_all: 0.0540 (0.0547) loss_rec_sfr: 0.0634 (0.0772) loss_cl: -0.3675 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [08:37:17.088777] Epoch: [259] [360/850] eta: 0:07:08 lr: 0.001939 loss: 0.0175 (0.0185) loss_rec_all: 0.0539 (0.0547) loss_rec_sfr: 0.0587 (0.0769) loss_cl: -0.3675 (-0.3672) time: 0.8677 data: 0.0003 max mem: 29859 [08:37:34.399922] Epoch: [259] [380/850] eta: 0:06:51 lr: 0.001939 loss: 0.0186 (0.0185) loss_rec_all: 0.0547 (0.0547) loss_rec_sfr: 0.0667 (0.0773) loss_cl: -0.3677 (-0.3673) time: 0.8655 data: 0.0002 max mem: 29859 [08:37:51.697601] Epoch: [259] [400/850] eta: 0:06:33 lr: 0.001939 loss: 0.0196 (0.0186) loss_rec_all: 0.0561 (0.0548) loss_rec_sfr: 0.0644 (0.0779) loss_cl: -0.3680 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [08:38:09.001824] Epoch: [259] [420/850] eta: 0:06:15 lr: 0.001939 loss: 0.0199 (0.0188) loss_rec_all: 0.0560 (0.0549) loss_rec_sfr: 0.0648 (0.0778) loss_cl: -0.3672 (-0.3673) time: 0.8651 data: 0.0003 max mem: 29859 [08:38:26.350113] Epoch: [259] [440/850] eta: 0:05:58 lr: 0.001939 loss: 0.0205 (0.0189) loss_rec_all: 0.0565 (0.0550) loss_rec_sfr: 0.0684 (0.0780) loss_cl: -0.3673 (-0.3673) time: 0.8674 data: 0.0004 max mem: 29859 [08:38:43.607254] Epoch: [259] [460/850] eta: 0:05:40 lr: 0.001939 loss: 0.0202 (0.0189) loss_rec_all: 0.0564 (0.0551) loss_rec_sfr: 0.0822 (0.0783) loss_cl: -0.3668 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [08:39:00.925883] Epoch: [259] [480/850] eta: 0:05:22 lr: 0.001939 loss: 0.0179 (0.0190) loss_rec_all: 0.0541 (0.0551) loss_rec_sfr: 0.0616 (0.0782) loss_cl: -0.3669 (-0.3672) time: 0.8659 data: 0.0003 max mem: 29859 [08:39:18.293744] Epoch: [259] [500/850] eta: 0:05:05 lr: 0.001939 loss: 0.0187 (0.0190) loss_rec_all: 0.0549 (0.0552) loss_rec_sfr: 0.0824 (0.0783) loss_cl: -0.3668 (-0.3672) time: 0.8683 data: 0.0003 max mem: 29859 [08:39:35.576418] Epoch: [259] [520/850] eta: 0:04:47 lr: 0.001939 loss: 0.0178 (0.0190) loss_rec_all: 0.0542 (0.0552) loss_rec_sfr: 0.0807 (0.0782) loss_cl: -0.3675 (-0.3672) time: 0.8641 data: 0.0002 max mem: 29859 [08:39:52.832814] Epoch: [259] [540/850] eta: 0:04:30 lr: 0.001939 loss: 0.0182 (0.0190) loss_rec_all: 0.0543 (0.0551) loss_rec_sfr: 0.0798 (0.0783) loss_cl: -0.3677 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [08:40:10.204415] Epoch: [259] [560/850] eta: 0:04:12 lr: 0.001938 loss: 0.0173 (0.0189) loss_rec_all: 0.0537 (0.0551) loss_rec_sfr: 0.0780 (0.0783) loss_cl: -0.3683 (-0.3673) time: 0.8685 data: 0.0003 max mem: 29859 [08:40:27.445114] Epoch: [259] [580/850] eta: 0:03:55 lr: 0.001938 loss: 0.0175 (0.0189) loss_rec_all: 0.0538 (0.0551) loss_rec_sfr: 0.0604 (0.0783) loss_cl: -0.3680 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [08:40:44.749671] Epoch: [259] [600/850] eta: 0:03:37 lr: 0.001938 loss: 0.0176 (0.0189) loss_rec_all: 0.0537 (0.0551) loss_rec_sfr: 0.0597 (0.0782) loss_cl: -0.3675 (-0.3673) time: 0.8651 data: 0.0003 max mem: 29859 [08:41:02.088424] Epoch: [259] [620/850] eta: 0:03:20 lr: 0.001938 loss: 0.0171 (0.0189) loss_rec_all: 0.0534 (0.0551) loss_rec_sfr: 0.0575 (0.0779) loss_cl: -0.3666 (-0.3673) time: 0.8668 data: 0.0003 max mem: 29859 [08:41:19.423216] Epoch: [259] [640/850] eta: 0:03:02 lr: 0.001938 loss: 0.0170 (0.0188) loss_rec_all: 0.0531 (0.0550) loss_rec_sfr: 0.0640 (0.0779) loss_cl: -0.3667 (-0.3673) time: 0.8667 data: 0.0003 max mem: 29859 [08:41:36.698368] Epoch: [259] [660/850] eta: 0:02:45 lr: 0.001938 loss: 0.0166 (0.0188) loss_rec_all: 0.0529 (0.0550) loss_rec_sfr: 0.0578 (0.0776) loss_cl: -0.3669 (-0.3673) time: 0.8637 data: 0.0003 max mem: 29859 [08:41:54.048271] Epoch: [259] [680/850] eta: 0:02:28 lr: 0.001938 loss: 0.0188 (0.0188) loss_rec_all: 0.0547 (0.0550) loss_rec_sfr: 0.0832 (0.0778) loss_cl: -0.3669 (-0.3673) time: 0.8674 data: 0.0002 max mem: 29859 [08:42:11.352802] Epoch: [259] [700/850] eta: 0:02:10 lr: 0.001938 loss: 0.0192 (0.0188) loss_rec_all: 0.0555 (0.0550) loss_rec_sfr: 0.0632 (0.0778) loss_cl: -0.3670 (-0.3672) time: 0.8652 data: 0.0003 max mem: 29859 [08:42:28.645479] Epoch: [259] [720/850] eta: 0:01:53 lr: 0.001938 loss: 0.0174 (0.0188) loss_rec_all: 0.0537 (0.0550) loss_rec_sfr: 0.0631 (0.0778) loss_cl: -0.3676 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [08:42:45.912129] Epoch: [259] [740/850] eta: 0:01:35 lr: 0.001938 loss: 0.0174 (0.0188) loss_rec_all: 0.0538 (0.0550) loss_rec_sfr: 0.0619 (0.0776) loss_cl: -0.3678 (-0.3673) time: 0.8632 data: 0.0003 max mem: 29859 [08:43:03.284146] Epoch: [259] [760/850] eta: 0:01:18 lr: 0.001937 loss: 0.0212 (0.0189) loss_rec_all: 0.0572 (0.0550) loss_rec_sfr: 0.0961 (0.0779) loss_cl: -0.3680 (-0.3673) time: 0.8686 data: 0.0003 max mem: 29859 [08:43:20.526253] Epoch: [259] [780/850] eta: 0:01:00 lr: 0.001937 loss: 0.0204 (0.0189) loss_rec_all: 0.0566 (0.0551) loss_rec_sfr: 0.0586 (0.0779) loss_cl: -0.3671 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [08:43:37.845641] Epoch: [259] [800/850] eta: 0:00:43 lr: 0.001937 loss: 0.0199 (0.0189) loss_rec_all: 0.0559 (0.0551) loss_rec_sfr: 0.0613 (0.0778) loss_cl: -0.3674 (-0.3673) time: 0.8659 data: 0.0003 max mem: 29859 [08:43:55.142540] Epoch: [259] [820/850] eta: 0:00:26 lr: 0.001937 loss: 0.0188 (0.0190) loss_rec_all: 0.0552 (0.0551) loss_rec_sfr: 0.0577 (0.0777) loss_cl: -0.3675 (-0.3673) time: 0.8648 data: 0.0003 max mem: 29859 [08:44:12.456887] Epoch: [259] [840/850] eta: 0:00:08 lr: 0.001937 loss: 0.0172 (0.0189) loss_rec_all: 0.0535 (0.0551) loss_rec_sfr: 0.0821 (0.0777) loss_cl: -0.3672 (-0.3673) time: 0.8657 data: 0.0020 max mem: 29859 [08:44:20.225680] Epoch: [259] [849/850] eta: 0:00:00 lr: 0.001937 loss: 0.0176 (0.0189) loss_rec_all: 0.0539 (0.0551) loss_rec_sfr: 0.0818 (0.0777) loss_cl: -0.3672 (-0.3673) time: 0.8654 data: 0.0018 max mem: 29859 [08:44:20.389129] Epoch: [259] Total time: 0:12:19 (0.8699 s / it) [08:44:20.391516] Averaged stats: lr: 0.001937 loss: 0.0176 (0.0190) loss_rec_all: 0.0539 (0.0552) loss_rec_sfr: 0.0818 (0.0783) loss_cl: -0.3672 (-0.3673) [08:44:20.399436] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [08:44:24.821139] Epoch: [260] [ 0/850] eta: 1:02:37 lr: 0.001937 loss: 0.0172 (0.0172) loss_rec_all: 0.0534 (0.0534) loss_rec_sfr: 0.0502 (0.0502) loss_cl: -0.3664 (-0.3664) time: 4.4209 data: 3.5637 max mem: 29859 [08:44:42.093756] Epoch: [260] [ 20/850] eta: 0:14:17 lr: 0.001937 loss: 0.0184 (0.0193) loss_rec_all: 0.0544 (0.0555) loss_rec_sfr: 0.0813 (0.0810) loss_cl: -0.3672 (-0.3672) time: 0.8635 data: 0.0002 max mem: 29859 [08:44:59.393961] Epoch: [260] [ 40/850] eta: 0:12:50 lr: 0.001937 loss: 0.0183 (0.0190) loss_rec_all: 0.0544 (0.0552) loss_rec_sfr: 0.0603 (0.0784) loss_cl: -0.3679 (-0.3675) time: 0.8650 data: 0.0002 max mem: 29859 [08:45:16.636358] Epoch: [260] [ 60/850] eta: 0:12:08 lr: 0.001937 loss: 0.0196 (0.0192) loss_rec_all: 0.0559 (0.0553) loss_rec_sfr: 0.0787 (0.0786) loss_cl: -0.3670 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [08:45:33.969479] Epoch: [260] [ 80/850] eta: 0:11:39 lr: 0.001937 loss: 0.0168 (0.0189) loss_rec_all: 0.0532 (0.0551) loss_rec_sfr: 0.0599 (0.0777) loss_cl: -0.3670 (-0.3672) time: 0.8666 data: 0.0002 max mem: 29859 [08:45:51.277106] Epoch: [260] [100/850] eta: 0:11:14 lr: 0.001937 loss: 0.0180 (0.0188) loss_rec_all: 0.0541 (0.0550) loss_rec_sfr: 0.0763 (0.0781) loss_cl: -0.3668 (-0.3671) time: 0.8653 data: 0.0003 max mem: 29859 [08:46:08.563576] Epoch: [260] [120/850] eta: 0:10:52 lr: 0.001937 loss: 0.0173 (0.0186) loss_rec_all: 0.0534 (0.0547) loss_rec_sfr: 0.0769 (0.0785) loss_cl: -0.3671 (-0.3671) time: 0.8643 data: 0.0002 max mem: 29859 [08:46:25.840155] Epoch: [260] [140/850] eta: 0:10:31 lr: 0.001936 loss: 0.0171 (0.0186) loss_rec_all: 0.0531 (0.0547) loss_rec_sfr: 0.0850 (0.0788) loss_cl: -0.3678 (-0.3672) time: 0.8638 data: 0.0003 max mem: 29859 [08:46:43.206109] Epoch: [260] [160/850] eta: 0:10:11 lr: 0.001936 loss: 0.0166 (0.0185) loss_rec_all: 0.0528 (0.0546) loss_rec_sfr: 0.0587 (0.0778) loss_cl: -0.3680 (-0.3673) time: 0.8682 data: 0.0003 max mem: 29859 [08:47:00.470710] Epoch: [260] [180/850] eta: 0:09:52 lr: 0.001936 loss: 0.0167 (0.0183) loss_rec_all: 0.0529 (0.0545) loss_rec_sfr: 0.0588 (0.0771) loss_cl: -0.3679 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [08:47:17.787069] Epoch: [260] [200/850] eta: 0:09:33 lr: 0.001936 loss: 0.0177 (0.0183) loss_rec_all: 0.0538 (0.0545) loss_rec_sfr: 0.0780 (0.0771) loss_cl: -0.3676 (-0.3674) time: 0.8656 data: 0.0005 max mem: 29859 [08:47:35.104750] Epoch: [260] [220/850] eta: 0:09:14 lr: 0.001936 loss: 0.0180 (0.0184) loss_rec_all: 0.0542 (0.0545) loss_rec_sfr: 0.0756 (0.0772) loss_cl: -0.3665 (-0.3673) time: 0.8658 data: 0.0007 max mem: 29859 [08:47:52.395619] Epoch: [260] [240/850] eta: 0:08:56 lr: 0.001936 loss: 0.0178 (0.0184) loss_rec_all: 0.0541 (0.0546) loss_rec_sfr: 0.0597 (0.0773) loss_cl: -0.3665 (-0.3672) time: 0.8645 data: 0.0002 max mem: 29859 [08:48:09.657584] Epoch: [260] [260/850] eta: 0:08:38 lr: 0.001936 loss: 0.0179 (0.0184) loss_rec_all: 0.0541 (0.0546) loss_rec_sfr: 0.0588 (0.0774) loss_cl: -0.3667 (-0.3672) time: 0.8630 data: 0.0003 max mem: 29859 [08:48:27.030965] Epoch: [260] [280/850] eta: 0:08:20 lr: 0.001936 loss: 0.0175 (0.0184) loss_rec_all: 0.0539 (0.0545) loss_rec_sfr: 0.0529 (0.0771) loss_cl: -0.3679 (-0.3672) time: 0.8686 data: 0.0003 max mem: 29859 [08:48:44.272253] Epoch: [260] [300/850] eta: 0:08:02 lr: 0.001936 loss: 0.0174 (0.0183) loss_rec_all: 0.0536 (0.0545) loss_rec_sfr: 0.0814 (0.0774) loss_cl: -0.3683 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [08:49:01.544052] Epoch: [260] [320/850] eta: 0:07:44 lr: 0.001936 loss: 0.0175 (0.0183) loss_rec_all: 0.0538 (0.0545) loss_rec_sfr: 0.0675 (0.0774) loss_cl: -0.3684 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [08:49:18.874415] Epoch: [260] [340/850] eta: 0:07:26 lr: 0.001936 loss: 0.0195 (0.0184) loss_rec_all: 0.0556 (0.0546) loss_rec_sfr: 0.0778 (0.0775) loss_cl: -0.3686 (-0.3674) time: 0.8664 data: 0.0004 max mem: 29859 [08:49:36.194094] Epoch: [260] [360/850] eta: 0:07:08 lr: 0.001935 loss: 0.0201 (0.0185) loss_rec_all: 0.0561 (0.0547) loss_rec_sfr: 0.0837 (0.0778) loss_cl: -0.3676 (-0.3674) time: 0.8659 data: 0.0004 max mem: 29859 [08:49:53.439618] Epoch: [260] [380/850] eta: 0:06:50 lr: 0.001935 loss: 0.0190 (0.0186) loss_rec_all: 0.0551 (0.0547) loss_rec_sfr: 0.0876 (0.0783) loss_cl: -0.3667 (-0.3674) time: 0.8622 data: 0.0003 max mem: 29859 [08:50:10.870276] Epoch: [260] [400/850] eta: 0:06:33 lr: 0.001935 loss: 0.0186 (0.0187) loss_rec_all: 0.0547 (0.0548) loss_rec_sfr: 0.0630 (0.0781) loss_cl: -0.3661 (-0.3673) time: 0.8714 data: 0.0006 max mem: 29859 [08:50:28.129550] Epoch: [260] [420/850] eta: 0:06:15 lr: 0.001935 loss: 0.0187 (0.0187) loss_rec_all: 0.0545 (0.0549) loss_rec_sfr: 0.0819 (0.0783) loss_cl: -0.3667 (-0.3673) time: 0.8629 data: 0.0003 max mem: 29859 [08:50:45.431169] Epoch: [260] [440/850] eta: 0:05:57 lr: 0.001935 loss: 0.0189 (0.0187) loss_rec_all: 0.0549 (0.0549) loss_rec_sfr: 0.0895 (0.0788) loss_cl: -0.3674 (-0.3673) time: 0.8650 data: 0.0002 max mem: 29859 [08:51:02.747594] Epoch: [260] [460/850] eta: 0:05:40 lr: 0.001935 loss: 0.0184 (0.0187) loss_rec_all: 0.0544 (0.0549) loss_rec_sfr: 0.0627 (0.0788) loss_cl: -0.3676 (-0.3673) time: 0.8657 data: 0.0004 max mem: 29859 [08:51:20.095998] Epoch: [260] [480/850] eta: 0:05:22 lr: 0.001935 loss: 0.0183 (0.0187) loss_rec_all: 0.0545 (0.0549) loss_rec_sfr: 0.0675 (0.0791) loss_cl: -0.3675 (-0.3673) time: 0.8674 data: 0.0003 max mem: 29859 [08:51:37.355942] Epoch: [260] [500/850] eta: 0:05:05 lr: 0.001935 loss: 0.0171 (0.0187) loss_rec_all: 0.0534 (0.0549) loss_rec_sfr: 0.0618 (0.0789) loss_cl: -0.3674 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [08:51:54.686791] Epoch: [260] [520/850] eta: 0:04:47 lr: 0.001935 loss: 0.0183 (0.0187) loss_rec_all: 0.0546 (0.0549) loss_rec_sfr: 0.0780 (0.0789) loss_cl: -0.3672 (-0.3673) time: 0.8665 data: 0.0003 max mem: 29859 [08:52:11.987511] Epoch: [260] [540/850] eta: 0:04:30 lr: 0.001935 loss: 0.0186 (0.0187) loss_rec_all: 0.0548 (0.0549) loss_rec_sfr: 0.0777 (0.0792) loss_cl: -0.3672 (-0.3673) time: 0.8650 data: 0.0003 max mem: 29859 [08:52:29.286421] Epoch: [260] [560/850] eta: 0:04:12 lr: 0.001934 loss: 0.0178 (0.0187) loss_rec_all: 0.0542 (0.0549) loss_rec_sfr: 0.0784 (0.0792) loss_cl: -0.3677 (-0.3673) time: 0.8649 data: 0.0003 max mem: 29859 [08:52:46.577161] Epoch: [260] [580/850] eta: 0:03:55 lr: 0.001934 loss: 0.0203 (0.0188) loss_rec_all: 0.0567 (0.0550) loss_rec_sfr: 0.0871 (0.0792) loss_cl: -0.3676 (-0.3673) time: 0.8645 data: 0.0003 max mem: 29859 [08:53:04.006551] Epoch: [260] [600/850] eta: 0:03:37 lr: 0.001934 loss: 0.0210 (0.0190) loss_rec_all: 0.0571 (0.0551) loss_rec_sfr: 0.0991 (0.0797) loss_cl: -0.3672 (-0.3673) time: 0.8714 data: 0.0007 max mem: 29859 [08:53:21.247794] Epoch: [260] [620/850] eta: 0:03:20 lr: 0.001934 loss: 0.0205 (0.0190) loss_rec_all: 0.0566 (0.0552) loss_rec_sfr: 0.0885 (0.0799) loss_cl: -0.3676 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [08:53:38.544194] Epoch: [260] [640/850] eta: 0:03:02 lr: 0.001934 loss: 0.0196 (0.0191) loss_rec_all: 0.0561 (0.0553) loss_rec_sfr: 0.0599 (0.0797) loss_cl: -0.3679 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [08:53:55.842411] Epoch: [260] [660/850] eta: 0:02:45 lr: 0.001934 loss: 0.0189 (0.0191) loss_rec_all: 0.0548 (0.0553) loss_rec_sfr: 0.0706 (0.0796) loss_cl: -0.3676 (-0.3674) time: 0.8649 data: 0.0003 max mem: 29859 [08:54:13.124892] Epoch: [260] [680/850] eta: 0:02:27 lr: 0.001934 loss: 0.0178 (0.0191) loss_rec_all: 0.0542 (0.0553) loss_rec_sfr: 0.0563 (0.0793) loss_cl: -0.3675 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [08:54:30.377324] Epoch: [260] [700/850] eta: 0:02:10 lr: 0.001934 loss: 0.0197 (0.0191) loss_rec_all: 0.0554 (0.0553) loss_rec_sfr: 0.0820 (0.0795) loss_cl: -0.3672 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [08:54:47.746398] Epoch: [260] [720/850] eta: 0:01:53 lr: 0.001934 loss: 0.0171 (0.0191) loss_rec_all: 0.0531 (0.0552) loss_rec_sfr: 0.0560 (0.0794) loss_cl: -0.3666 (-0.3673) time: 0.8684 data: 0.0004 max mem: 29859 [08:55:04.988341] Epoch: [260] [740/850] eta: 0:01:35 lr: 0.001934 loss: 0.0184 (0.0191) loss_rec_all: 0.0544 (0.0553) loss_rec_sfr: 0.0838 (0.0795) loss_cl: -0.3665 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [08:55:22.305748] Epoch: [260] [760/850] eta: 0:01:18 lr: 0.001934 loss: 0.0163 (0.0190) loss_rec_all: 0.0526 (0.0552) loss_rec_sfr: 0.0587 (0.0793) loss_cl: -0.3672 (-0.3673) time: 0.8658 data: 0.0002 max mem: 29859 [08:55:39.620233] Epoch: [260] [780/850] eta: 0:01:00 lr: 0.001933 loss: 0.0169 (0.0190) loss_rec_all: 0.0533 (0.0552) loss_rec_sfr: 0.0612 (0.0793) loss_cl: -0.3674 (-0.3673) time: 0.8657 data: 0.0004 max mem: 29859 [08:55:56.914825] Epoch: [260] [800/850] eta: 0:00:43 lr: 0.001933 loss: 0.0171 (0.0190) loss_rec_all: 0.0533 (0.0552) loss_rec_sfr: 0.0787 (0.0793) loss_cl: -0.3677 (-0.3673) time: 0.8647 data: 0.0003 max mem: 29859 [08:56:14.143293] Epoch: [260] [820/850] eta: 0:00:26 lr: 0.001933 loss: 0.0184 (0.0190) loss_rec_all: 0.0548 (0.0552) loss_rec_sfr: 0.0797 (0.0793) loss_cl: -0.3677 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [08:56:31.539736] Epoch: [260] [840/850] eta: 0:00:08 lr: 0.001933 loss: 0.0184 (0.0190) loss_rec_all: 0.0547 (0.0552) loss_rec_sfr: 0.0624 (0.0792) loss_cl: -0.3672 (-0.3673) time: 0.8697 data: 0.0010 max mem: 29859 [08:56:39.308715] Epoch: [260] [849/850] eta: 0:00:00 lr: 0.001933 loss: 0.0187 (0.0190) loss_rec_all: 0.0548 (0.0552) loss_rec_sfr: 0.0806 (0.0792) loss_cl: -0.3673 (-0.3673) time: 0.8686 data: 0.0009 max mem: 29859 [08:56:39.452244] Epoch: [260] Total time: 0:12:19 (0.8695 s / it) [08:56:39.469744] Averaged stats: lr: 0.001933 loss: 0.0187 (0.0188) loss_rec_all: 0.0548 (0.0550) loss_rec_sfr: 0.0806 (0.0782) loss_cl: -0.3673 (-0.3673) [08:56:39.478035] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [08:56:43.695733] Epoch: [261] [ 0/850] eta: 0:59:44 lr: 0.001933 loss: 0.0224 (0.0224) loss_rec_all: 0.0586 (0.0586) loss_rec_sfr: 0.0801 (0.0801) loss_cl: -0.3670 (-0.3670) time: 4.2169 data: 3.3554 max mem: 29859 [08:57:00.921801] Epoch: [261] [ 20/850] eta: 0:14:07 lr: 0.001933 loss: 0.0169 (0.0177) loss_rec_all: 0.0529 (0.0539) loss_rec_sfr: 0.0616 (0.0746) loss_cl: -0.3670 (-0.3669) time: 0.8612 data: 0.0002 max mem: 29859 [08:57:18.285493] Epoch: [261] [ 40/850] eta: 0:12:46 lr: 0.001933 loss: 0.0162 (0.0178) loss_rec_all: 0.0524 (0.0539) loss_rec_sfr: 0.0611 (0.0731) loss_cl: -0.3671 (-0.3669) time: 0.8681 data: 0.0005 max mem: 29859 [08:57:35.629092] Epoch: [261] [ 60/850] eta: 0:12:07 lr: 0.001933 loss: 0.0179 (0.0178) loss_rec_all: 0.0541 (0.0539) loss_rec_sfr: 0.0680 (0.0756) loss_cl: -0.3673 (-0.3671) time: 0.8671 data: 0.0004 max mem: 29859 [08:57:52.901369] Epoch: [261] [ 80/850] eta: 0:11:37 lr: 0.001933 loss: 0.0175 (0.0178) loss_rec_all: 0.0537 (0.0540) loss_rec_sfr: 0.0766 (0.0763) loss_cl: -0.3679 (-0.3672) time: 0.8636 data: 0.0002 max mem: 29859 [08:58:10.227258] Epoch: [261] [100/850] eta: 0:11:13 lr: 0.001933 loss: 0.0172 (0.0178) loss_rec_all: 0.0536 (0.0541) loss_rec_sfr: 0.0585 (0.0746) loss_cl: -0.3678 (-0.3673) time: 0.8662 data: 0.0004 max mem: 29859 [08:58:27.574881] Epoch: [261] [120/850] eta: 0:10:52 lr: 0.001933 loss: 0.0171 (0.0179) loss_rec_all: 0.0534 (0.0541) loss_rec_sfr: 0.0612 (0.0749) loss_cl: -0.3681 (-0.3675) time: 0.8673 data: 0.0004 max mem: 29859 [08:58:44.854801] Epoch: [261] [140/850] eta: 0:10:31 lr: 0.001933 loss: 0.0168 (0.0179) loss_rec_all: 0.0531 (0.0542) loss_rec_sfr: 0.0625 (0.0750) loss_cl: -0.3677 (-0.3674) time: 0.8639 data: 0.0004 max mem: 29859 [08:59:02.213794] Epoch: [261] [160/850] eta: 0:10:11 lr: 0.001932 loss: 0.0187 (0.0181) loss_rec_all: 0.0547 (0.0543) loss_rec_sfr: 0.0832 (0.0763) loss_cl: -0.3667 (-0.3674) time: 0.8679 data: 0.0004 max mem: 29859 [08:59:19.528050] Epoch: [261] [180/850] eta: 0:09:52 lr: 0.001932 loss: 0.0188 (0.0182) loss_rec_all: 0.0548 (0.0544) loss_rec_sfr: 0.0816 (0.0775) loss_cl: -0.3673 (-0.3673) time: 0.8656 data: 0.0004 max mem: 29859 [08:59:36.846899] Epoch: [261] [200/850] eta: 0:09:33 lr: 0.001932 loss: 0.0189 (0.0184) loss_rec_all: 0.0552 (0.0545) loss_rec_sfr: 0.0824 (0.0783) loss_cl: -0.3675 (-0.3673) time: 0.8659 data: 0.0003 max mem: 29859 [08:59:54.122649] Epoch: [261] [220/850] eta: 0:09:14 lr: 0.001932 loss: 0.0173 (0.0183) loss_rec_all: 0.0535 (0.0545) loss_rec_sfr: 0.0775 (0.0784) loss_cl: -0.3671 (-0.3673) time: 0.8637 data: 0.0003 max mem: 29859 [09:00:11.491409] Epoch: [261] [240/850] eta: 0:08:56 lr: 0.001932 loss: 0.0176 (0.0183) loss_rec_all: 0.0535 (0.0545) loss_rec_sfr: 0.0804 (0.0786) loss_cl: -0.3669 (-0.3673) time: 0.8684 data: 0.0005 max mem: 29859 [09:00:28.748328] Epoch: [261] [260/850] eta: 0:08:38 lr: 0.001932 loss: 0.0186 (0.0184) loss_rec_all: 0.0546 (0.0545) loss_rec_sfr: 0.0825 (0.0790) loss_cl: -0.3669 (-0.3673) time: 0.8628 data: 0.0003 max mem: 29859 [09:00:46.066275] Epoch: [261] [280/850] eta: 0:08:20 lr: 0.001932 loss: 0.0172 (0.0184) loss_rec_all: 0.0535 (0.0545) loss_rec_sfr: 0.0792 (0.0791) loss_cl: -0.3673 (-0.3672) time: 0.8658 data: 0.0002 max mem: 29859 [09:01:03.437375] Epoch: [261] [300/850] eta: 0:08:02 lr: 0.001932 loss: 0.0184 (0.0184) loss_rec_all: 0.0544 (0.0546) loss_rec_sfr: 0.0588 (0.0788) loss_cl: -0.3679 (-0.3673) time: 0.8685 data: 0.0003 max mem: 29859 [09:01:20.731959] Epoch: [261] [320/850] eta: 0:07:44 lr: 0.001932 loss: 0.0168 (0.0183) loss_rec_all: 0.0528 (0.0545) loss_rec_sfr: 0.0774 (0.0789) loss_cl: -0.3678 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [09:01:37.985827] Epoch: [261] [340/850] eta: 0:07:26 lr: 0.001932 loss: 0.0182 (0.0183) loss_rec_all: 0.0542 (0.0545) loss_rec_sfr: 0.0792 (0.0790) loss_cl: -0.3672 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [09:01:55.389763] Epoch: [261] [360/850] eta: 0:07:08 lr: 0.001931 loss: 0.0167 (0.0183) loss_rec_all: 0.0531 (0.0545) loss_rec_sfr: 0.0594 (0.0786) loss_cl: -0.3672 (-0.3673) time: 0.8701 data: 0.0004 max mem: 29859 [09:02:12.642517] Epoch: [261] [380/850] eta: 0:06:50 lr: 0.001931 loss: 0.0171 (0.0183) loss_rec_all: 0.0535 (0.0545) loss_rec_sfr: 0.0635 (0.0783) loss_cl: -0.3669 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [09:02:29.942642] Epoch: [261] [400/850] eta: 0:06:33 lr: 0.001931 loss: 0.0177 (0.0183) loss_rec_all: 0.0540 (0.0545) loss_rec_sfr: 0.0637 (0.0784) loss_cl: -0.3673 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [09:02:47.267236] Epoch: [261] [420/850] eta: 0:06:15 lr: 0.001931 loss: 0.0176 (0.0183) loss_rec_all: 0.0539 (0.0545) loss_rec_sfr: 0.0592 (0.0782) loss_cl: -0.3676 (-0.3673) time: 0.8662 data: 0.0003 max mem: 29859 [09:03:04.645855] Epoch: [261] [440/850] eta: 0:05:58 lr: 0.001931 loss: 0.0196 (0.0184) loss_rec_all: 0.0557 (0.0546) loss_rec_sfr: 0.0612 (0.0782) loss_cl: -0.3682 (-0.3673) time: 0.8688 data: 0.0003 max mem: 29859 [09:03:21.906930] Epoch: [261] [460/850] eta: 0:05:40 lr: 0.001931 loss: 0.0187 (0.0184) loss_rec_all: 0.0548 (0.0546) loss_rec_sfr: 0.0890 (0.0784) loss_cl: -0.3677 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [09:03:39.230846] Epoch: [261] [480/850] eta: 0:05:22 lr: 0.001931 loss: 0.0210 (0.0185) loss_rec_all: 0.0573 (0.0547) loss_rec_sfr: 0.0808 (0.0785) loss_cl: -0.3679 (-0.3674) time: 0.8661 data: 0.0002 max mem: 29859 [09:03:56.567440] Epoch: [261] [500/850] eta: 0:05:05 lr: 0.001931 loss: 0.0200 (0.0186) loss_rec_all: 0.0564 (0.0548) loss_rec_sfr: 0.0615 (0.0783) loss_cl: -0.3676 (-0.3674) time: 0.8668 data: 0.0003 max mem: 29859 [09:04:13.858538] Epoch: [261] [520/850] eta: 0:04:47 lr: 0.001931 loss: 0.0191 (0.0187) loss_rec_all: 0.0554 (0.0548) loss_rec_sfr: 0.0824 (0.0783) loss_cl: -0.3678 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [09:04:31.112009] Epoch: [261] [540/850] eta: 0:04:30 lr: 0.001931 loss: 0.0173 (0.0186) loss_rec_all: 0.0535 (0.0548) loss_rec_sfr: 0.0574 (0.0779) loss_cl: -0.3667 (-0.3674) time: 0.8626 data: 0.0003 max mem: 29859 [09:04:48.522918] Epoch: [261] [560/850] eta: 0:04:12 lr: 0.001931 loss: 0.0188 (0.0187) loss_rec_all: 0.0550 (0.0549) loss_rec_sfr: 0.0803 (0.0780) loss_cl: -0.3665 (-0.3674) time: 0.8705 data: 0.0004 max mem: 29859 [09:05:05.761270] Epoch: [261] [580/850] eta: 0:03:55 lr: 0.001930 loss: 0.0183 (0.0187) loss_rec_all: 0.0546 (0.0549) loss_rec_sfr: 0.0687 (0.0781) loss_cl: -0.3669 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [09:05:23.064648] Epoch: [261] [600/850] eta: 0:03:37 lr: 0.001930 loss: 0.0189 (0.0187) loss_rec_all: 0.0550 (0.0549) loss_rec_sfr: 0.0764 (0.0782) loss_cl: -0.3673 (-0.3673) time: 0.8651 data: 0.0003 max mem: 29859 [09:05:40.404795] Epoch: [261] [620/850] eta: 0:03:20 lr: 0.001930 loss: 0.0174 (0.0187) loss_rec_all: 0.0537 (0.0549) loss_rec_sfr: 0.0557 (0.0783) loss_cl: -0.3680 (-0.3674) time: 0.8669 data: 0.0003 max mem: 29859 [09:05:57.678607] Epoch: [261] [640/850] eta: 0:03:02 lr: 0.001930 loss: 0.0189 (0.0187) loss_rec_all: 0.0549 (0.0549) loss_rec_sfr: 0.0826 (0.0785) loss_cl: -0.3673 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [09:06:14.919526] Epoch: [261] [660/850] eta: 0:02:45 lr: 0.001930 loss: 0.0170 (0.0187) loss_rec_all: 0.0534 (0.0549) loss_rec_sfr: 0.0607 (0.0784) loss_cl: -0.3674 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [09:06:32.255976] Epoch: [261] [680/850] eta: 0:02:27 lr: 0.001930 loss: 0.0167 (0.0186) loss_rec_all: 0.0531 (0.0548) loss_rec_sfr: 0.0597 (0.0783) loss_cl: -0.3675 (-0.3673) time: 0.8668 data: 0.0003 max mem: 29859 [09:06:49.500802] Epoch: [261] [700/850] eta: 0:02:10 lr: 0.001930 loss: 0.0179 (0.0186) loss_rec_all: 0.0542 (0.0548) loss_rec_sfr: 0.0766 (0.0782) loss_cl: -0.3674 (-0.3674) time: 0.8622 data: 0.0003 max mem: 29859 [09:07:06.795516] Epoch: [261] [720/850] eta: 0:01:53 lr: 0.001930 loss: 0.0177 (0.0186) loss_rec_all: 0.0539 (0.0548) loss_rec_sfr: 0.0560 (0.0780) loss_cl: -0.3675 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [09:07:24.119077] Epoch: [261] [740/850] eta: 0:01:35 lr: 0.001930 loss: 0.0186 (0.0187) loss_rec_all: 0.0548 (0.0548) loss_rec_sfr: 0.0830 (0.0782) loss_cl: -0.3674 (-0.3674) time: 0.8661 data: 0.0004 max mem: 29859 [09:07:41.418053] Epoch: [261] [760/850] eta: 0:01:18 lr: 0.001930 loss: 0.0190 (0.0187) loss_rec_all: 0.0553 (0.0549) loss_rec_sfr: 0.0689 (0.0782) loss_cl: -0.3675 (-0.3674) time: 0.8649 data: 0.0003 max mem: 29859 [09:07:58.654345] Epoch: [261] [780/850] eta: 0:01:00 lr: 0.001930 loss: 0.0172 (0.0187) loss_rec_all: 0.0536 (0.0549) loss_rec_sfr: 0.0629 (0.0781) loss_cl: -0.3675 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [09:08:15.985320] Epoch: [261] [800/850] eta: 0:00:43 lr: 0.001929 loss: 0.0187 (0.0187) loss_rec_all: 0.0551 (0.0549) loss_rec_sfr: 0.0625 (0.0780) loss_cl: -0.3670 (-0.3673) time: 0.8665 data: 0.0004 max mem: 29859 [09:08:33.311832] Epoch: [261] [820/850] eta: 0:00:26 lr: 0.001929 loss: 0.0181 (0.0187) loss_rec_all: 0.0544 (0.0549) loss_rec_sfr: 0.0650 (0.0780) loss_cl: -0.3670 (-0.3673) time: 0.8662 data: 0.0004 max mem: 29859 [09:08:50.597617] Epoch: [261] [840/850] eta: 0:00:08 lr: 0.001929 loss: 0.0180 (0.0187) loss_rec_all: 0.0544 (0.0549) loss_rec_sfr: 0.0727 (0.0780) loss_cl: -0.3673 (-0.3673) time: 0.8642 data: 0.0005 max mem: 29859 [09:08:58.363995] Epoch: [261] [849/850] eta: 0:00:00 lr: 0.001929 loss: 0.0177 (0.0187) loss_rec_all: 0.0538 (0.0549) loss_rec_sfr: 0.0661 (0.0780) loss_cl: -0.3673 (-0.3673) time: 0.8642 data: 0.0005 max mem: 29859 [09:08:58.579644] Epoch: [261] Total time: 0:12:19 (0.8695 s / it) [09:08:58.582286] Averaged stats: lr: 0.001929 loss: 0.0177 (0.0186) loss_rec_all: 0.0538 (0.0548) loss_rec_sfr: 0.0661 (0.0777) loss_cl: -0.3673 (-0.3673) [09:08:58.594701] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [09:09:03.852757] Epoch: [262] [ 0/850] eta: 1:14:28 lr: 0.001929 loss: 0.0177 (0.0177) loss_rec_all: 0.0540 (0.0540) loss_rec_sfr: 0.0632 (0.0632) loss_cl: -0.3667 (-0.3667) time: 5.2569 data: 4.3941 max mem: 29859 [09:09:21.181603] Epoch: [262] [ 20/850] eta: 0:14:52 lr: 0.001929 loss: 0.0185 (0.0191) loss_rec_all: 0.0546 (0.0552) loss_rec_sfr: 0.0774 (0.0827) loss_cl: -0.3667 (-0.3666) time: 0.8664 data: 0.0003 max mem: 29859 [09:09:38.452400] Epoch: [262] [ 40/850] eta: 0:13:07 lr: 0.001929 loss: 0.0171 (0.0184) loss_rec_all: 0.0534 (0.0545) loss_rec_sfr: 0.0549 (0.0764) loss_cl: -0.3666 (-0.3667) time: 0.8635 data: 0.0002 max mem: 29859 [09:09:55.687781] Epoch: [262] [ 60/850] eta: 0:12:19 lr: 0.001929 loss: 0.0170 (0.0181) loss_rec_all: 0.0533 (0.0542) loss_rec_sfr: 0.0527 (0.0741) loss_cl: -0.3672 (-0.3669) time: 0.8616 data: 0.0002 max mem: 29859 [09:10:13.061881] Epoch: [262] [ 80/850] eta: 0:11:47 lr: 0.001929 loss: 0.0176 (0.0181) loss_rec_all: 0.0538 (0.0543) loss_rec_sfr: 0.0628 (0.0737) loss_cl: -0.3669 (-0.3669) time: 0.8686 data: 0.0004 max mem: 29859 [09:10:30.304019] Epoch: [262] [100/850] eta: 0:11:20 lr: 0.001929 loss: 0.0180 (0.0181) loss_rec_all: 0.0543 (0.0543) loss_rec_sfr: 0.0751 (0.0743) loss_cl: -0.3673 (-0.3670) time: 0.8621 data: 0.0002 max mem: 29859 [09:10:47.614728] Epoch: [262] [120/850] eta: 0:10:57 lr: 0.001929 loss: 0.0173 (0.0180) loss_rec_all: 0.0535 (0.0542) loss_rec_sfr: 0.0600 (0.0740) loss_cl: -0.3678 (-0.3671) time: 0.8655 data: 0.0003 max mem: 29859 [09:11:04.948237] Epoch: [262] [140/850] eta: 0:10:36 lr: 0.001929 loss: 0.0173 (0.0180) loss_rec_all: 0.0534 (0.0542) loss_rec_sfr: 0.0604 (0.0735) loss_cl: -0.3679 (-0.3672) time: 0.8666 data: 0.0003 max mem: 29859 [09:11:22.268069] Epoch: [262] [160/850] eta: 0:10:15 lr: 0.001928 loss: 0.0175 (0.0179) loss_rec_all: 0.0537 (0.0541) loss_rec_sfr: 0.0777 (0.0742) loss_cl: -0.3678 (-0.3672) time: 0.8659 data: 0.0003 max mem: 29859 [09:11:39.528680] Epoch: [262] [180/850] eta: 0:09:55 lr: 0.001928 loss: 0.0159 (0.0179) loss_rec_all: 0.0523 (0.0541) loss_rec_sfr: 0.0575 (0.0738) loss_cl: -0.3673 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [09:11:56.905073] Epoch: [262] [200/850] eta: 0:09:36 lr: 0.001928 loss: 0.0167 (0.0178) loss_rec_all: 0.0526 (0.0540) loss_rec_sfr: 0.0607 (0.0740) loss_cl: -0.3669 (-0.3672) time: 0.8687 data: 0.0003 max mem: 29859 [09:12:14.205901] Epoch: [262] [220/850] eta: 0:09:17 lr: 0.001928 loss: 0.0175 (0.0179) loss_rec_all: 0.0538 (0.0541) loss_rec_sfr: 0.0584 (0.0739) loss_cl: -0.3672 (-0.3672) time: 0.8650 data: 0.0003 max mem: 29859 [09:12:31.509642] Epoch: [262] [240/850] eta: 0:08:58 lr: 0.001928 loss: 0.0184 (0.0179) loss_rec_all: 0.0546 (0.0541) loss_rec_sfr: 0.0817 (0.0749) loss_cl: -0.3672 (-0.3672) time: 0.8651 data: 0.0002 max mem: 29859 [09:12:48.809275] Epoch: [262] [260/850] eta: 0:08:40 lr: 0.001928 loss: 0.0170 (0.0178) loss_rec_all: 0.0533 (0.0540) loss_rec_sfr: 0.0588 (0.0748) loss_cl: -0.3673 (-0.3672) time: 0.8649 data: 0.0003 max mem: 29859 [09:13:06.227013] Epoch: [262] [280/850] eta: 0:08:22 lr: 0.001928 loss: 0.0187 (0.0179) loss_rec_all: 0.0549 (0.0541) loss_rec_sfr: 0.0781 (0.0756) loss_cl: -0.3673 (-0.3672) time: 0.8708 data: 0.0004 max mem: 29859 [09:13:23.501795] Epoch: [262] [300/850] eta: 0:08:04 lr: 0.001928 loss: 0.0182 (0.0180) loss_rec_all: 0.0544 (0.0541) loss_rec_sfr: 0.0778 (0.0758) loss_cl: -0.3676 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [09:13:40.864529] Epoch: [262] [320/850] eta: 0:07:46 lr: 0.001928 loss: 0.0185 (0.0181) loss_rec_all: 0.0548 (0.0542) loss_rec_sfr: 0.0849 (0.0765) loss_cl: -0.3673 (-0.3672) time: 0.8681 data: 0.0003 max mem: 29859 [09:13:58.211889] Epoch: [262] [340/850] eta: 0:07:28 lr: 0.001928 loss: 0.0186 (0.0181) loss_rec_all: 0.0546 (0.0543) loss_rec_sfr: 0.0783 (0.0769) loss_cl: -0.3675 (-0.3672) time: 0.8673 data: 0.0003 max mem: 29859 [09:14:15.509171] Epoch: [262] [360/850] eta: 0:07:10 lr: 0.001928 loss: 0.0178 (0.0181) loss_rec_all: 0.0540 (0.0543) loss_rec_sfr: 0.0616 (0.0770) loss_cl: -0.3674 (-0.3672) time: 0.8648 data: 0.0002 max mem: 29859 [09:14:32.768298] Epoch: [262] [380/850] eta: 0:06:52 lr: 0.001927 loss: 0.0188 (0.0181) loss_rec_all: 0.0549 (0.0543) loss_rec_sfr: 0.0578 (0.0771) loss_cl: -0.3674 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [09:14:50.147055] Epoch: [262] [400/850] eta: 0:06:34 lr: 0.001927 loss: 0.0174 (0.0181) loss_rec_all: 0.0537 (0.0543) loss_rec_sfr: 0.0604 (0.0768) loss_cl: -0.3673 (-0.3673) time: 0.8689 data: 0.0004 max mem: 29859 [09:15:07.413504] Epoch: [262] [420/850] eta: 0:06:16 lr: 0.001927 loss: 0.0172 (0.0182) loss_rec_all: 0.0534 (0.0543) loss_rec_sfr: 0.0742 (0.0768) loss_cl: -0.3673 (-0.3673) time: 0.8632 data: 0.0003 max mem: 29859 [09:15:24.732147] Epoch: [262] [440/850] eta: 0:05:58 lr: 0.001927 loss: 0.0181 (0.0182) loss_rec_all: 0.0542 (0.0544) loss_rec_sfr: 0.0598 (0.0766) loss_cl: -0.3672 (-0.3672) time: 0.8659 data: 0.0002 max mem: 29859 [09:15:42.224255] Epoch: [262] [460/850] eta: 0:05:41 lr: 0.001927 loss: 0.0180 (0.0182) loss_rec_all: 0.0539 (0.0544) loss_rec_sfr: 0.0623 (0.0766) loss_cl: -0.3676 (-0.3673) time: 0.8745 data: 0.0007 max mem: 29859 [09:15:59.616517] Epoch: [262] [480/850] eta: 0:05:23 lr: 0.001927 loss: 0.0173 (0.0182) loss_rec_all: 0.0533 (0.0544) loss_rec_sfr: 0.0900 (0.0771) loss_cl: -0.3674 (-0.3673) time: 0.8695 data: 0.0003 max mem: 29859 [09:16:16.904412] Epoch: [262] [500/850] eta: 0:05:06 lr: 0.001927 loss: 0.0177 (0.0182) loss_rec_all: 0.0540 (0.0544) loss_rec_sfr: 0.0577 (0.0769) loss_cl: -0.3671 (-0.3673) time: 0.8643 data: 0.0003 max mem: 29859 [09:16:34.318596] Epoch: [262] [520/850] eta: 0:04:48 lr: 0.001927 loss: 0.0179 (0.0182) loss_rec_all: 0.0543 (0.0544) loss_rec_sfr: 0.0563 (0.0767) loss_cl: -0.3677 (-0.3673) time: 0.8706 data: 0.0010 max mem: 29859 [09:16:51.635857] Epoch: [262] [540/850] eta: 0:04:31 lr: 0.001927 loss: 0.0185 (0.0182) loss_rec_all: 0.0546 (0.0544) loss_rec_sfr: 0.0621 (0.0764) loss_cl: -0.3675 (-0.3673) time: 0.8658 data: 0.0006 max mem: 29859 [09:17:08.946882] Epoch: [262] [560/850] eta: 0:04:13 lr: 0.001927 loss: 0.0182 (0.0183) loss_rec_all: 0.0546 (0.0544) loss_rec_sfr: 0.0878 (0.0768) loss_cl: -0.3678 (-0.3673) time: 0.8655 data: 0.0003 max mem: 29859 [09:17:26.259107] Epoch: [262] [580/850] eta: 0:03:55 lr: 0.001927 loss: 0.0189 (0.0183) loss_rec_all: 0.0553 (0.0545) loss_rec_sfr: 0.0762 (0.0769) loss_cl: -0.3667 (-0.3673) time: 0.8655 data: 0.0003 max mem: 29859 [09:17:43.628034] Epoch: [262] [600/850] eta: 0:03:38 lr: 0.001926 loss: 0.0179 (0.0183) loss_rec_all: 0.0542 (0.0545) loss_rec_sfr: 0.0584 (0.0768) loss_cl: -0.3673 (-0.3673) time: 0.8684 data: 0.0003 max mem: 29859 [09:18:00.887189] Epoch: [262] [620/850] eta: 0:03:20 lr: 0.001926 loss: 0.0173 (0.0183) loss_rec_all: 0.0537 (0.0545) loss_rec_sfr: 0.0648 (0.0766) loss_cl: -0.3675 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [09:18:18.214795] Epoch: [262] [640/850] eta: 0:03:03 lr: 0.001926 loss: 0.0176 (0.0183) loss_rec_all: 0.0538 (0.0545) loss_rec_sfr: 0.0563 (0.0764) loss_cl: -0.3672 (-0.3673) time: 0.8663 data: 0.0003 max mem: 29859 [09:18:35.565939] Epoch: [262] [660/850] eta: 0:02:45 lr: 0.001926 loss: 0.0177 (0.0183) loss_rec_all: 0.0539 (0.0545) loss_rec_sfr: 0.0602 (0.0762) loss_cl: -0.3671 (-0.3673) time: 0.8675 data: 0.0003 max mem: 29859 [09:18:52.882213] Epoch: [262] [680/850] eta: 0:02:28 lr: 0.001926 loss: 0.0184 (0.0183) loss_rec_all: 0.0547 (0.0545) loss_rec_sfr: 0.0748 (0.0762) loss_cl: -0.3672 (-0.3673) time: 0.8657 data: 0.0003 max mem: 29859 [09:19:10.178671] Epoch: [262] [700/850] eta: 0:02:10 lr: 0.001926 loss: 0.0174 (0.0183) loss_rec_all: 0.0537 (0.0545) loss_rec_sfr: 0.0612 (0.0760) loss_cl: -0.3671 (-0.3673) time: 0.8647 data: 0.0003 max mem: 29859 [09:19:27.564668] Epoch: [262] [720/850] eta: 0:01:53 lr: 0.001926 loss: 0.0190 (0.0183) loss_rec_all: 0.0548 (0.0545) loss_rec_sfr: 0.0711 (0.0761) loss_cl: -0.3668 (-0.3673) time: 0.8692 data: 0.0004 max mem: 29859 [09:19:44.857209] Epoch: [262] [740/850] eta: 0:01:35 lr: 0.001926 loss: 0.0172 (0.0184) loss_rec_all: 0.0534 (0.0545) loss_rec_sfr: 0.0794 (0.0761) loss_cl: -0.3666 (-0.3672) time: 0.8645 data: 0.0003 max mem: 29859 [09:20:02.177892] Epoch: [262] [760/850] eta: 0:01:18 lr: 0.001926 loss: 0.0178 (0.0184) loss_rec_all: 0.0541 (0.0546) loss_rec_sfr: 0.0563 (0.0761) loss_cl: -0.3666 (-0.3672) time: 0.8659 data: 0.0003 max mem: 29859 [09:20:19.538211] Epoch: [262] [780/850] eta: 0:01:01 lr: 0.001926 loss: 0.0171 (0.0184) loss_rec_all: 0.0533 (0.0545) loss_rec_sfr: 0.0812 (0.0761) loss_cl: -0.3669 (-0.3672) time: 0.8679 data: 0.0004 max mem: 29859 [09:20:36.928237] Epoch: [262] [800/850] eta: 0:00:43 lr: 0.001925 loss: 0.0167 (0.0183) loss_rec_all: 0.0529 (0.0545) loss_rec_sfr: 0.0538 (0.0758) loss_cl: -0.3672 (-0.3672) time: 0.8694 data: 0.0003 max mem: 29859 [09:20:54.192223] Epoch: [262] [820/850] eta: 0:00:26 lr: 0.001925 loss: 0.0175 (0.0183) loss_rec_all: 0.0537 (0.0545) loss_rec_sfr: 0.0643 (0.0759) loss_cl: -0.3678 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [09:21:11.529112] Epoch: [262] [840/850] eta: 0:00:08 lr: 0.001925 loss: 0.0178 (0.0183) loss_rec_all: 0.0542 (0.0545) loss_rec_sfr: 0.0774 (0.0760) loss_cl: -0.3686 (-0.3672) time: 0.8668 data: 0.0006 max mem: 29859 [09:21:19.368654] Epoch: [262] [849/850] eta: 0:00:00 lr: 0.001925 loss: 0.0176 (0.0183) loss_rec_all: 0.0540 (0.0545) loss_rec_sfr: 0.0612 (0.0759) loss_cl: -0.3684 (-0.3673) time: 0.8700 data: 0.0006 max mem: 29859 [09:21:19.510401] Epoch: [262] Total time: 0:12:20 (0.8717 s / it) [09:21:19.520404] Averaged stats: lr: 0.001925 loss: 0.0176 (0.0183) loss_rec_all: 0.0540 (0.0545) loss_rec_sfr: 0.0612 (0.0763) loss_cl: -0.3684 (-0.3673) [09:21:19.537946] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [09:21:24.378054] Epoch: [263] [ 0/850] eta: 1:08:33 lr: 0.001925 loss: 0.0163 (0.0163) loss_rec_all: 0.0528 (0.0528) loss_rec_sfr: 0.0490 (0.0490) loss_cl: -0.3677 (-0.3677) time: 4.8393 data: 3.8230 max mem: 29859 [09:21:41.595296] Epoch: [263] [ 20/850] eta: 0:14:31 lr: 0.001925 loss: 0.0175 (0.0177) loss_rec_all: 0.0538 (0.0540) loss_rec_sfr: 0.0606 (0.0724) loss_cl: -0.3679 (-0.3680) time: 0.8608 data: 0.0002 max mem: 29859 [09:21:58.890450] Epoch: [263] [ 40/850] eta: 0:12:57 lr: 0.001925 loss: 0.0178 (0.0178) loss_rec_all: 0.0542 (0.0541) loss_rec_sfr: 0.0554 (0.0746) loss_cl: -0.3677 (-0.3678) time: 0.8647 data: 0.0003 max mem: 29859 [09:22:16.252001] Epoch: [263] [ 60/850] eta: 0:12:14 lr: 0.001925 loss: 0.0187 (0.0182) loss_rec_all: 0.0549 (0.0545) loss_rec_sfr: 0.0637 (0.0755) loss_cl: -0.3670 (-0.3675) time: 0.8680 data: 0.0004 max mem: 29859 [09:22:33.568576] Epoch: [263] [ 80/850] eta: 0:11:43 lr: 0.001925 loss: 0.0179 (0.0182) loss_rec_all: 0.0540 (0.0544) loss_rec_sfr: 0.0575 (0.0759) loss_cl: -0.3678 (-0.3675) time: 0.8658 data: 0.0003 max mem: 29859 [09:22:50.832431] Epoch: [263] [100/850] eta: 0:11:17 lr: 0.001925 loss: 0.0196 (0.0185) loss_rec_all: 0.0555 (0.0547) loss_rec_sfr: 0.0819 (0.0774) loss_cl: -0.3671 (-0.3674) time: 0.8631 data: 0.0005 max mem: 29859 [09:23:08.186026] Epoch: [263] [120/850] eta: 0:10:55 lr: 0.001925 loss: 0.0177 (0.0185) loss_rec_all: 0.0540 (0.0547) loss_rec_sfr: 0.0742 (0.0776) loss_cl: -0.3671 (-0.3673) time: 0.8676 data: 0.0003 max mem: 29859 [09:23:25.474900] Epoch: [263] [140/850] eta: 0:10:34 lr: 0.001925 loss: 0.0185 (0.0186) loss_rec_all: 0.0544 (0.0548) loss_rec_sfr: 0.0810 (0.0784) loss_cl: -0.3667 (-0.3673) time: 0.8644 data: 0.0003 max mem: 29859 [09:23:42.780330] Epoch: [263] [160/850] eta: 0:10:13 lr: 0.001925 loss: 0.0178 (0.0185) loss_rec_all: 0.0539 (0.0547) loss_rec_sfr: 0.0536 (0.0777) loss_cl: -0.3674 (-0.3673) time: 0.8652 data: 0.0002 max mem: 29859 [09:24:00.059654] Epoch: [263] [180/850] eta: 0:09:54 lr: 0.001924 loss: 0.0178 (0.0185) loss_rec_all: 0.0542 (0.0547) loss_rec_sfr: 0.0566 (0.0770) loss_cl: -0.3678 (-0.3673) time: 0.8639 data: 0.0003 max mem: 29859 [09:24:17.434741] Epoch: [263] [200/850] eta: 0:09:35 lr: 0.001924 loss: 0.0180 (0.0184) loss_rec_all: 0.0541 (0.0547) loss_rec_sfr: 0.0587 (0.0765) loss_cl: -0.3678 (-0.3674) time: 0.8687 data: 0.0004 max mem: 29859 [09:24:34.683480] Epoch: [263] [220/850] eta: 0:09:16 lr: 0.001924 loss: 0.0182 (0.0184) loss_rec_all: 0.0542 (0.0546) loss_rec_sfr: 0.0643 (0.0772) loss_cl: -0.3678 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [09:24:51.992925] Epoch: [263] [240/850] eta: 0:08:57 lr: 0.001924 loss: 0.0186 (0.0184) loss_rec_all: 0.0546 (0.0546) loss_rec_sfr: 0.0807 (0.0783) loss_cl: -0.3671 (-0.3674) time: 0.8654 data: 0.0003 max mem: 29859 [09:25:09.388493] Epoch: [263] [260/850] eta: 0:08:39 lr: 0.001924 loss: 0.0178 (0.0184) loss_rec_all: 0.0538 (0.0546) loss_rec_sfr: 0.0587 (0.0781) loss_cl: -0.3670 (-0.3674) time: 0.8697 data: 0.0004 max mem: 29859 [09:25:26.752652] Epoch: [263] [280/850] eta: 0:08:21 lr: 0.001924 loss: 0.0163 (0.0183) loss_rec_all: 0.0526 (0.0545) loss_rec_sfr: 0.0580 (0.0775) loss_cl: -0.3670 (-0.3673) time: 0.8681 data: 0.0004 max mem: 29859 [09:25:44.061102] Epoch: [263] [300/850] eta: 0:08:03 lr: 0.001924 loss: 0.0181 (0.0183) loss_rec_all: 0.0542 (0.0545) loss_rec_sfr: 0.0770 (0.0777) loss_cl: -0.3672 (-0.3673) time: 0.8654 data: 0.0003 max mem: 29859 [09:26:01.366034] Epoch: [263] [320/850] eta: 0:07:45 lr: 0.001924 loss: 0.0184 (0.0183) loss_rec_all: 0.0543 (0.0545) loss_rec_sfr: 0.0921 (0.0784) loss_cl: -0.3667 (-0.3673) time: 0.8652 data: 0.0002 max mem: 29859 [09:26:18.638428] Epoch: [263] [340/850] eta: 0:07:27 lr: 0.001924 loss: 0.0170 (0.0183) loss_rec_all: 0.0531 (0.0545) loss_rec_sfr: 0.0836 (0.0786) loss_cl: -0.3668 (-0.3673) time: 0.8636 data: 0.0003 max mem: 29859 [09:26:36.047370] Epoch: [263] [360/850] eta: 0:07:09 lr: 0.001924 loss: 0.0169 (0.0183) loss_rec_all: 0.0533 (0.0544) loss_rec_sfr: 0.0547 (0.0782) loss_cl: -0.3673 (-0.3673) time: 0.8704 data: 0.0003 max mem: 29859 [09:26:53.303758] Epoch: [263] [380/850] eta: 0:06:51 lr: 0.001924 loss: 0.0173 (0.0182) loss_rec_all: 0.0535 (0.0544) loss_rec_sfr: 0.0605 (0.0782) loss_cl: -0.3675 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [09:27:10.612327] Epoch: [263] [400/850] eta: 0:06:33 lr: 0.001923 loss: 0.0166 (0.0182) loss_rec_all: 0.0529 (0.0544) loss_rec_sfr: 0.0579 (0.0777) loss_cl: -0.3682 (-0.3673) time: 0.8654 data: 0.0003 max mem: 29859 [09:27:27.969563] Epoch: [263] [420/850] eta: 0:06:16 lr: 0.001923 loss: 0.0169 (0.0181) loss_rec_all: 0.0531 (0.0543) loss_rec_sfr: 0.0643 (0.0774) loss_cl: -0.3678 (-0.3673) time: 0.8678 data: 0.0004 max mem: 29859 [09:27:45.273887] Epoch: [263] [440/850] eta: 0:05:58 lr: 0.001923 loss: 0.0176 (0.0182) loss_rec_all: 0.0540 (0.0543) loss_rec_sfr: 0.0787 (0.0775) loss_cl: -0.3681 (-0.3673) time: 0.8652 data: 0.0003 max mem: 29859 [09:28:02.539941] Epoch: [263] [460/850] eta: 0:05:40 lr: 0.001923 loss: 0.0181 (0.0182) loss_rec_all: 0.0545 (0.0544) loss_rec_sfr: 0.0639 (0.0776) loss_cl: -0.3672 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [09:28:19.906801] Epoch: [263] [480/850] eta: 0:05:23 lr: 0.001923 loss: 0.0193 (0.0183) loss_rec_all: 0.0552 (0.0545) loss_rec_sfr: 0.0788 (0.0779) loss_cl: -0.3665 (-0.3673) time: 0.8683 data: 0.0011 max mem: 29859 [09:28:37.206623] Epoch: [263] [500/850] eta: 0:05:05 lr: 0.001923 loss: 0.0180 (0.0183) loss_rec_all: 0.0542 (0.0545) loss_rec_sfr: 0.0547 (0.0777) loss_cl: -0.3665 (-0.3673) time: 0.8649 data: 0.0003 max mem: 29859 [09:28:54.517509] Epoch: [263] [520/850] eta: 0:04:48 lr: 0.001923 loss: 0.0187 (0.0184) loss_rec_all: 0.0548 (0.0546) loss_rec_sfr: 0.0814 (0.0779) loss_cl: -0.3667 (-0.3672) time: 0.8655 data: 0.0003 max mem: 29859 [09:29:11.801468] Epoch: [263] [540/850] eta: 0:04:30 lr: 0.001923 loss: 0.0186 (0.0184) loss_rec_all: 0.0550 (0.0546) loss_rec_sfr: 0.0800 (0.0782) loss_cl: -0.3675 (-0.3673) time: 0.8641 data: 0.0003 max mem: 29859 [09:29:29.187471] Epoch: [263] [560/850] eta: 0:04:13 lr: 0.001923 loss: 0.0166 (0.0184) loss_rec_all: 0.0530 (0.0545) loss_rec_sfr: 0.0571 (0.0779) loss_cl: -0.3678 (-0.3673) time: 0.8692 data: 0.0003 max mem: 29859 [09:29:46.463202] Epoch: [263] [580/850] eta: 0:03:55 lr: 0.001923 loss: 0.0169 (0.0183) loss_rec_all: 0.0532 (0.0545) loss_rec_sfr: 0.0786 (0.0780) loss_cl: -0.3679 (-0.3673) time: 0.8637 data: 0.0003 max mem: 29859 [09:30:03.770007] Epoch: [263] [600/850] eta: 0:03:38 lr: 0.001922 loss: 0.0186 (0.0184) loss_rec_all: 0.0546 (0.0545) loss_rec_sfr: 0.0896 (0.0784) loss_cl: -0.3674 (-0.3673) time: 0.8653 data: 0.0003 max mem: 29859 [09:30:21.165940] Epoch: [263] [620/850] eta: 0:03:20 lr: 0.001922 loss: 0.0173 (0.0183) loss_rec_all: 0.0536 (0.0545) loss_rec_sfr: 0.0587 (0.0783) loss_cl: -0.3671 (-0.3673) time: 0.8696 data: 0.0003 max mem: 29859 [09:30:38.486671] Epoch: [263] [640/850] eta: 0:03:03 lr: 0.001922 loss: 0.0180 (0.0184) loss_rec_all: 0.0540 (0.0546) loss_rec_sfr: 0.0789 (0.0782) loss_cl: -0.3673 (-0.3673) time: 0.8660 data: 0.0003 max mem: 29859 [09:30:55.754214] Epoch: [263] [660/850] eta: 0:02:45 lr: 0.001922 loss: 0.0183 (0.0184) loss_rec_all: 0.0542 (0.0546) loss_rec_sfr: 0.0793 (0.0783) loss_cl: -0.3679 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [09:31:13.199932] Epoch: [263] [680/850] eta: 0:02:28 lr: 0.001922 loss: 0.0182 (0.0184) loss_rec_all: 0.0542 (0.0546) loss_rec_sfr: 0.0593 (0.0782) loss_cl: -0.3675 (-0.3673) time: 0.8722 data: 0.0004 max mem: 29859 [09:31:30.474139] Epoch: [263] [700/850] eta: 0:02:10 lr: 0.001922 loss: 0.0191 (0.0184) loss_rec_all: 0.0551 (0.0546) loss_rec_sfr: 0.0803 (0.0783) loss_cl: -0.3678 (-0.3673) time: 0.8637 data: 0.0003 max mem: 29859 [09:31:47.800707] Epoch: [263] [720/850] eta: 0:01:53 lr: 0.001922 loss: 0.0195 (0.0184) loss_rec_all: 0.0558 (0.0546) loss_rec_sfr: 0.0638 (0.0785) loss_cl: -0.3671 (-0.3673) time: 0.8663 data: 0.0002 max mem: 29859 [09:32:05.155015] Epoch: [263] [740/850] eta: 0:01:35 lr: 0.001922 loss: 0.0182 (0.0184) loss_rec_all: 0.0545 (0.0546) loss_rec_sfr: 0.0625 (0.0785) loss_cl: -0.3669 (-0.3673) time: 0.8676 data: 0.0004 max mem: 29859 [09:32:22.491268] Epoch: [263] [760/850] eta: 0:01:18 lr: 0.001922 loss: 0.0172 (0.0184) loss_rec_all: 0.0534 (0.0546) loss_rec_sfr: 0.0586 (0.0784) loss_cl: -0.3667 (-0.3673) time: 0.8667 data: 0.0003 max mem: 29859 [09:32:39.777479] Epoch: [263] [780/850] eta: 0:01:00 lr: 0.001922 loss: 0.0167 (0.0184) loss_rec_all: 0.0531 (0.0546) loss_rec_sfr: 0.0597 (0.0784) loss_cl: -0.3670 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [09:32:57.152282] Epoch: [263] [800/850] eta: 0:00:43 lr: 0.001922 loss: 0.0173 (0.0184) loss_rec_all: 0.0536 (0.0546) loss_rec_sfr: 0.0554 (0.0781) loss_cl: -0.3675 (-0.3673) time: 0.8687 data: 0.0003 max mem: 29859 [09:33:14.465828] Epoch: [263] [820/850] eta: 0:00:26 lr: 0.001921 loss: 0.0189 (0.0184) loss_rec_all: 0.0551 (0.0546) loss_rec_sfr: 0.0830 (0.0784) loss_cl: -0.3678 (-0.3673) time: 0.8656 data: 0.0003 max mem: 29859 [09:33:31.783702] Epoch: [263] [840/850] eta: 0:00:08 lr: 0.001921 loss: 0.0173 (0.0184) loss_rec_all: 0.0535 (0.0546) loss_rec_sfr: 0.0561 (0.0784) loss_cl: -0.3683 (-0.3673) time: 0.8658 data: 0.0005 max mem: 29859 [09:33:39.550493] Epoch: [263] [849/850] eta: 0:00:00 lr: 0.001921 loss: 0.0174 (0.0184) loss_rec_all: 0.0538 (0.0546) loss_rec_sfr: 0.0791 (0.0784) loss_cl: -0.3683 (-0.3673) time: 0.8656 data: 0.0005 max mem: 29859 [09:33:39.686053] Epoch: [263] Total time: 0:12:20 (0.8708 s / it) [09:33:39.693850] Averaged stats: lr: 0.001921 loss: 0.0174 (0.0185) loss_rec_all: 0.0538 (0.0547) loss_rec_sfr: 0.0791 (0.0784) loss_cl: -0.3683 (-0.3673) [09:33:39.705308] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [09:33:43.763126] Epoch: [264] [ 0/850] eta: 0:57:28 lr: 0.001921 loss: 0.0179 (0.0179) loss_rec_all: 0.0538 (0.0538) loss_rec_sfr: 0.1142 (0.1142) loss_cl: -0.3668 (-0.3668) time: 4.0565 data: 3.1980 max mem: 29859 [09:34:01.048851] Epoch: [264] [ 20/850] eta: 0:14:03 lr: 0.001921 loss: 0.0167 (0.0177) loss_rec_all: 0.0530 (0.0538) loss_rec_sfr: 0.0655 (0.0793) loss_cl: -0.3671 (-0.3671) time: 0.8642 data: 0.0003 max mem: 29859 [09:34:18.349905] Epoch: [264] [ 40/850] eta: 0:12:43 lr: 0.001921 loss: 0.0171 (0.0177) loss_rec_all: 0.0534 (0.0538) loss_rec_sfr: 0.0598 (0.0763) loss_cl: -0.3668 (-0.3669) time: 0.8650 data: 0.0002 max mem: 29859 [09:34:35.592755] Epoch: [264] [ 60/850] eta: 0:12:03 lr: 0.001921 loss: 0.0177 (0.0182) loss_rec_all: 0.0539 (0.0544) loss_rec_sfr: 0.0638 (0.0750) loss_cl: -0.3673 (-0.3670) time: 0.8621 data: 0.0002 max mem: 29859 [09:34:52.987935] Epoch: [264] [ 80/850] eta: 0:11:36 lr: 0.001921 loss: 0.0178 (0.0183) loss_rec_all: 0.0538 (0.0545) loss_rec_sfr: 0.0818 (0.0763) loss_cl: -0.3679 (-0.3672) time: 0.8697 data: 0.0003 max mem: 29859 [09:35:10.276171] Epoch: [264] [100/850] eta: 0:11:12 lr: 0.001921 loss: 0.0177 (0.0183) loss_rec_all: 0.0540 (0.0545) loss_rec_sfr: 0.0637 (0.0763) loss_cl: -0.3676 (-0.3673) time: 0.8644 data: 0.0003 max mem: 29859 [09:35:27.563077] Epoch: [264] [120/850] eta: 0:10:50 lr: 0.001921 loss: 0.0172 (0.0183) loss_rec_all: 0.0536 (0.0545) loss_rec_sfr: 0.0554 (0.0753) loss_cl: -0.3677 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [09:35:44.904660] Epoch: [264] [140/850] eta: 0:10:30 lr: 0.001921 loss: 0.0178 (0.0183) loss_rec_all: 0.0541 (0.0545) loss_rec_sfr: 0.0609 (0.0756) loss_cl: -0.3675 (-0.3674) time: 0.8669 data: 0.0003 max mem: 29859 [09:36:02.250167] Epoch: [264] [160/850] eta: 0:10:10 lr: 0.001921 loss: 0.0170 (0.0182) loss_rec_all: 0.0533 (0.0544) loss_rec_sfr: 0.0594 (0.0753) loss_cl: -0.3676 (-0.3674) time: 0.8672 data: 0.0003 max mem: 29859 [09:36:19.513101] Epoch: [264] [180/850] eta: 0:09:51 lr: 0.001920 loss: 0.0182 (0.0183) loss_rec_all: 0.0546 (0.0545) loss_rec_sfr: 0.0766 (0.0751) loss_cl: -0.3674 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [09:36:36.836449] Epoch: [264] [200/850] eta: 0:09:32 lr: 0.001920 loss: 0.0175 (0.0183) loss_rec_all: 0.0538 (0.0545) loss_rec_sfr: 0.0579 (0.0752) loss_cl: -0.3674 (-0.3674) time: 0.8661 data: 0.0002 max mem: 29859 [09:36:54.188912] Epoch: [264] [220/850] eta: 0:09:14 lr: 0.001920 loss: 0.0163 (0.0182) loss_rec_all: 0.0526 (0.0544) loss_rec_sfr: 0.0532 (0.0747) loss_cl: -0.3670 (-0.3673) time: 0.8676 data: 0.0003 max mem: 29859 [09:37:11.501054] Epoch: [264] [240/850] eta: 0:08:56 lr: 0.001920 loss: 0.0177 (0.0181) loss_rec_all: 0.0540 (0.0543) loss_rec_sfr: 0.0615 (0.0746) loss_cl: -0.3672 (-0.3673) time: 0.8656 data: 0.0003 max mem: 29859 [09:37:28.774970] Epoch: [264] [260/850] eta: 0:08:37 lr: 0.001920 loss: 0.0168 (0.0180) loss_rec_all: 0.0532 (0.0543) loss_rec_sfr: 0.0583 (0.0745) loss_cl: -0.3670 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [09:37:46.152505] Epoch: [264] [280/850] eta: 0:08:19 lr: 0.001920 loss: 0.0175 (0.0180) loss_rec_all: 0.0538 (0.0542) loss_rec_sfr: 0.0764 (0.0748) loss_cl: -0.3672 (-0.3673) time: 0.8688 data: 0.0004 max mem: 29859 [09:38:03.417246] Epoch: [264] [300/850] eta: 0:08:01 lr: 0.001920 loss: 0.0198 (0.0182) loss_rec_all: 0.0557 (0.0544) loss_rec_sfr: 0.0787 (0.0754) loss_cl: -0.3672 (-0.3673) time: 0.8632 data: 0.0003 max mem: 29859 [09:38:20.714334] Epoch: [264] [320/850] eta: 0:07:43 lr: 0.001920 loss: 0.0188 (0.0183) loss_rec_all: 0.0549 (0.0545) loss_rec_sfr: 0.0835 (0.0763) loss_cl: -0.3666 (-0.3672) time: 0.8648 data: 0.0002 max mem: 29859 [09:38:38.094381] Epoch: [264] [340/850] eta: 0:07:26 lr: 0.001920 loss: 0.0191 (0.0184) loss_rec_all: 0.0553 (0.0546) loss_rec_sfr: 0.0667 (0.0771) loss_cl: -0.3667 (-0.3672) time: 0.8689 data: 0.0004 max mem: 29859 [09:38:55.413841] Epoch: [264] [360/850] eta: 0:07:08 lr: 0.001920 loss: 0.0210 (0.0185) loss_rec_all: 0.0568 (0.0547) loss_rec_sfr: 0.0863 (0.0781) loss_cl: -0.3666 (-0.3672) time: 0.8659 data: 0.0002 max mem: 29859 [09:39:12.661486] Epoch: [264] [380/850] eta: 0:06:50 lr: 0.001920 loss: 0.0183 (0.0186) loss_rec_all: 0.0545 (0.0547) loss_rec_sfr: 0.0761 (0.0784) loss_cl: -0.3669 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [09:39:30.055246] Epoch: [264] [400/850] eta: 0:06:33 lr: 0.001919 loss: 0.0175 (0.0185) loss_rec_all: 0.0539 (0.0547) loss_rec_sfr: 0.0636 (0.0784) loss_cl: -0.3675 (-0.3672) time: 0.8696 data: 0.0004 max mem: 29859 [09:39:47.327941] Epoch: [264] [420/850] eta: 0:06:15 lr: 0.001919 loss: 0.0169 (0.0185) loss_rec_all: 0.0533 (0.0547) loss_rec_sfr: 0.0593 (0.0782) loss_cl: -0.3677 (-0.3672) time: 0.8636 data: 0.0003 max mem: 29859 [09:40:04.639658] Epoch: [264] [440/850] eta: 0:05:57 lr: 0.001919 loss: 0.0177 (0.0185) loss_rec_all: 0.0542 (0.0547) loss_rec_sfr: 0.0727 (0.0780) loss_cl: -0.3683 (-0.3672) time: 0.8655 data: 0.0002 max mem: 29859 [09:40:21.921347] Epoch: [264] [460/850] eta: 0:05:40 lr: 0.001919 loss: 0.0182 (0.0185) loss_rec_all: 0.0544 (0.0547) loss_rec_sfr: 0.0818 (0.0782) loss_cl: -0.3682 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [09:40:39.306305] Epoch: [264] [480/850] eta: 0:05:22 lr: 0.001919 loss: 0.0196 (0.0186) loss_rec_all: 0.0557 (0.0547) loss_rec_sfr: 0.0764 (0.0783) loss_cl: -0.3678 (-0.3673) time: 0.8692 data: 0.0003 max mem: 29859 [09:40:56.573154] Epoch: [264] [500/850] eta: 0:05:05 lr: 0.001919 loss: 0.0197 (0.0187) loss_rec_all: 0.0560 (0.0548) loss_rec_sfr: 0.0596 (0.0780) loss_cl: -0.3678 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [09:41:13.894881] Epoch: [264] [520/850] eta: 0:04:47 lr: 0.001919 loss: 0.0192 (0.0187) loss_rec_all: 0.0554 (0.0549) loss_rec_sfr: 0.0613 (0.0778) loss_cl: -0.3671 (-0.3673) time: 0.8660 data: 0.0003 max mem: 29859 [09:41:31.255080] Epoch: [264] [540/850] eta: 0:04:30 lr: 0.001919 loss: 0.0200 (0.0187) loss_rec_all: 0.0561 (0.0549) loss_rec_sfr: 0.0815 (0.0781) loss_cl: -0.3669 (-0.3673) time: 0.8679 data: 0.0004 max mem: 29859 [09:41:48.585985] Epoch: [264] [560/850] eta: 0:04:12 lr: 0.001919 loss: 0.0187 (0.0188) loss_rec_all: 0.0547 (0.0550) loss_rec_sfr: 0.0678 (0.0782) loss_cl: -0.3666 (-0.3673) time: 0.8665 data: 0.0003 max mem: 29859 [09:42:05.855780] Epoch: [264] [580/850] eta: 0:03:55 lr: 0.001919 loss: 0.0175 (0.0188) loss_rec_all: 0.0538 (0.0549) loss_rec_sfr: 0.0562 (0.0780) loss_cl: -0.3670 (-0.3672) time: 0.8634 data: 0.0002 max mem: 29859 [09:42:23.286218] Epoch: [264] [600/850] eta: 0:03:37 lr: 0.001918 loss: 0.0168 (0.0187) loss_rec_all: 0.0531 (0.0549) loss_rec_sfr: 0.0619 (0.0780) loss_cl: -0.3677 (-0.3673) time: 0.8715 data: 0.0003 max mem: 29859 [09:42:40.560622] Epoch: [264] [620/850] eta: 0:03:20 lr: 0.001918 loss: 0.0183 (0.0187) loss_rec_all: 0.0546 (0.0549) loss_rec_sfr: 0.0601 (0.0779) loss_cl: -0.3677 (-0.3673) time: 0.8636 data: 0.0003 max mem: 29859 [09:42:57.866614] Epoch: [264] [640/850] eta: 0:03:02 lr: 0.001918 loss: 0.0172 (0.0187) loss_rec_all: 0.0535 (0.0549) loss_rec_sfr: 0.0571 (0.0777) loss_cl: -0.3673 (-0.3673) time: 0.8652 data: 0.0002 max mem: 29859 [09:43:15.211026] Epoch: [264] [660/850] eta: 0:02:45 lr: 0.001918 loss: 0.0177 (0.0187) loss_rec_all: 0.0541 (0.0549) loss_rec_sfr: 0.0780 (0.0778) loss_cl: -0.3670 (-0.3673) time: 0.8671 data: 0.0004 max mem: 29859 [09:43:32.539673] Epoch: [264] [680/850] eta: 0:02:27 lr: 0.001918 loss: 0.0164 (0.0187) loss_rec_all: 0.0528 (0.0549) loss_rec_sfr: 0.0600 (0.0776) loss_cl: -0.3671 (-0.3673) time: 0.8664 data: 0.0003 max mem: 29859 [09:43:49.799768] Epoch: [264] [700/850] eta: 0:02:10 lr: 0.001918 loss: 0.0168 (0.0187) loss_rec_all: 0.0532 (0.0549) loss_rec_sfr: 0.0607 (0.0776) loss_cl: -0.3675 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [09:44:07.132613] Epoch: [264] [720/850] eta: 0:01:53 lr: 0.001918 loss: 0.0172 (0.0187) loss_rec_all: 0.0536 (0.0548) loss_rec_sfr: 0.0599 (0.0774) loss_cl: -0.3678 (-0.3673) time: 0.8665 data: 0.0003 max mem: 29859 [09:44:24.436744] Epoch: [264] [740/850] eta: 0:01:35 lr: 0.001918 loss: 0.0176 (0.0186) loss_rec_all: 0.0536 (0.0548) loss_rec_sfr: 0.0827 (0.0776) loss_cl: -0.3677 (-0.3673) time: 0.8651 data: 0.0003 max mem: 29859 [09:44:41.744647] Epoch: [264] [760/850] eta: 0:01:18 lr: 0.001918 loss: 0.0172 (0.0186) loss_rec_all: 0.0537 (0.0548) loss_rec_sfr: 0.0778 (0.0776) loss_cl: -0.3680 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [09:44:59.028049] Epoch: [264] [780/850] eta: 0:01:00 lr: 0.001918 loss: 0.0187 (0.0187) loss_rec_all: 0.0550 (0.0548) loss_rec_sfr: 0.0774 (0.0778) loss_cl: -0.3675 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [09:45:16.438100] Epoch: [264] [800/850] eta: 0:00:43 lr: 0.001918 loss: 0.0171 (0.0186) loss_rec_all: 0.0531 (0.0548) loss_rec_sfr: 0.0646 (0.0777) loss_cl: -0.3673 (-0.3673) time: 0.8704 data: 0.0003 max mem: 29859 [09:45:33.707986] Epoch: [264] [820/850] eta: 0:00:26 lr: 0.001917 loss: 0.0162 (0.0186) loss_rec_all: 0.0524 (0.0548) loss_rec_sfr: 0.0583 (0.0776) loss_cl: -0.3670 (-0.3673) time: 0.8634 data: 0.0003 max mem: 29859 [09:45:51.005063] Epoch: [264] [840/850] eta: 0:00:08 lr: 0.001917 loss: 0.0174 (0.0186) loss_rec_all: 0.0536 (0.0548) loss_rec_sfr: 0.0651 (0.0775) loss_cl: -0.3667 (-0.3673) time: 0.8648 data: 0.0005 max mem: 29859 [09:45:58.811325] Epoch: [264] [849/850] eta: 0:00:00 lr: 0.001917 loss: 0.0177 (0.0186) loss_rec_all: 0.0540 (0.0548) loss_rec_sfr: 0.0655 (0.0774) loss_cl: -0.3672 (-0.3673) time: 0.8666 data: 0.0005 max mem: 29859 [09:45:58.956792] Epoch: [264] Total time: 0:12:19 (0.8697 s / it) [09:45:58.959471] Averaged stats: lr: 0.001917 loss: 0.0177 (0.0185) loss_rec_all: 0.0540 (0.0547) loss_rec_sfr: 0.0655 (0.0771) loss_cl: -0.3672 (-0.3673) [09:45:58.971004] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [09:46:03.225161] Epoch: [265] [ 0/850] eta: 1:00:14 lr: 0.001917 loss: 0.0217 (0.0217) loss_rec_all: 0.0580 (0.0580) loss_rec_sfr: 0.0790 (0.0790) loss_cl: -0.3679 (-0.3679) time: 4.2529 data: 3.3925 max mem: 29859 [09:46:20.491593] Epoch: [265] [ 20/850] eta: 0:14:10 lr: 0.001917 loss: 0.0178 (0.0185) loss_rec_all: 0.0538 (0.0547) loss_rec_sfr: 0.0651 (0.0780) loss_cl: -0.3672 (-0.3673) time: 0.8632 data: 0.0003 max mem: 29859 [09:46:37.805546] Epoch: [265] [ 40/850] eta: 0:12:47 lr: 0.001917 loss: 0.0173 (0.0183) loss_rec_all: 0.0536 (0.0544) loss_rec_sfr: 0.0876 (0.0809) loss_cl: -0.3674 (-0.3673) time: 0.8656 data: 0.0003 max mem: 29859 [09:46:55.205479] Epoch: [265] [ 60/850] eta: 0:12:08 lr: 0.001917 loss: 0.0166 (0.0179) loss_rec_all: 0.0530 (0.0541) loss_rec_sfr: 0.0602 (0.0792) loss_cl: -0.3673 (-0.3673) time: 0.8699 data: 0.0004 max mem: 29859 [09:47:12.543311] Epoch: [265] [ 80/850] eta: 0:11:39 lr: 0.001917 loss: 0.0173 (0.0179) loss_rec_all: 0.0536 (0.0540) loss_rec_sfr: 0.0673 (0.0789) loss_cl: -0.3679 (-0.3674) time: 0.8668 data: 0.0003 max mem: 29859 [09:47:29.795663] Epoch: [265] [100/850] eta: 0:11:14 lr: 0.001917 loss: 0.0163 (0.0177) loss_rec_all: 0.0526 (0.0539) loss_rec_sfr: 0.0526 (0.0771) loss_cl: -0.3678 (-0.3675) time: 0.8625 data: 0.0003 max mem: 29859 [09:47:47.143725] Epoch: [265] [120/850] eta: 0:10:52 lr: 0.001917 loss: 0.0167 (0.0177) loss_rec_all: 0.0528 (0.0539) loss_rec_sfr: 0.0808 (0.0773) loss_cl: -0.3672 (-0.3675) time: 0.8673 data: 0.0004 max mem: 29859 [09:48:04.442856] Epoch: [265] [140/850] eta: 0:10:31 lr: 0.001917 loss: 0.0167 (0.0177) loss_rec_all: 0.0531 (0.0539) loss_rec_sfr: 0.0595 (0.0776) loss_cl: -0.3665 (-0.3673) time: 0.8649 data: 0.0003 max mem: 29859 [09:48:21.752034] Epoch: [265] [160/850] eta: 0:10:11 lr: 0.001917 loss: 0.0166 (0.0176) loss_rec_all: 0.0529 (0.0538) loss_rec_sfr: 0.0578 (0.0768) loss_cl: -0.3659 (-0.3671) time: 0.8654 data: 0.0002 max mem: 29859 [09:48:39.060676] Epoch: [265] [180/850] eta: 0:09:52 lr: 0.001917 loss: 0.0168 (0.0177) loss_rec_all: 0.0529 (0.0539) loss_rec_sfr: 0.0785 (0.0770) loss_cl: -0.3669 (-0.3671) time: 0.8654 data: 0.0003 max mem: 29859 [09:48:56.408179] Epoch: [265] [200/850] eta: 0:09:33 lr: 0.001916 loss: 0.0205 (0.0181) loss_rec_all: 0.0568 (0.0543) loss_rec_sfr: 0.0617 (0.0775) loss_cl: -0.3673 (-0.3671) time: 0.8673 data: 0.0007 max mem: 29859 [09:49:13.689127] Epoch: [265] [220/850] eta: 0:09:15 lr: 0.001916 loss: 0.0203 (0.0184) loss_rec_all: 0.0564 (0.0545) loss_rec_sfr: 0.0906 (0.0780) loss_cl: -0.3679 (-0.3672) time: 0.8640 data: 0.0003 max mem: 29859 [09:49:31.020825] Epoch: [265] [240/850] eta: 0:08:56 lr: 0.001916 loss: 0.0222 (0.0191) loss_rec_all: 0.0587 (0.0552) loss_rec_sfr: 0.0900 (0.0789) loss_cl: -0.3683 (-0.3673) time: 0.8665 data: 0.0003 max mem: 29859 [09:49:48.355339] Epoch: [265] [260/850] eta: 0:08:38 lr: 0.001916 loss: 0.0252 (0.0196) loss_rec_all: 0.0615 (0.0558) loss_rec_sfr: 0.0678 (0.0795) loss_cl: -0.3683 (-0.3674) time: 0.8667 data: 0.0005 max mem: 29859 [09:50:05.665976] Epoch: [265] [280/850] eta: 0:08:20 lr: 0.001916 loss: 0.0258 (0.0202) loss_rec_all: 0.0621 (0.0564) loss_rec_sfr: 0.0751 (0.0804) loss_cl: -0.3680 (-0.3674) time: 0.8655 data: 0.0005 max mem: 29859 [09:50:22.931734] Epoch: [265] [300/850] eta: 0:08:02 lr: 0.001916 loss: 0.0269 (0.0207) loss_rec_all: 0.0632 (0.0568) loss_rec_sfr: 0.0932 (0.0814) loss_cl: -0.3673 (-0.3674) time: 0.8632 data: 0.0003 max mem: 29859 [09:50:40.331441] Epoch: [265] [320/850] eta: 0:07:44 lr: 0.001916 loss: 0.0235 (0.0209) loss_rec_all: 0.0598 (0.0570) loss_rec_sfr: 0.0977 (0.0822) loss_cl: -0.3670 (-0.3674) time: 0.8699 data: 0.0006 max mem: 29859 [09:50:57.594809] Epoch: [265] [340/850] eta: 0:07:26 lr: 0.001916 loss: 0.0214 (0.0209) loss_rec_all: 0.0576 (0.0571) loss_rec_sfr: 0.0656 (0.0822) loss_cl: -0.3664 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [09:51:14.937122] Epoch: [265] [360/850] eta: 0:07:08 lr: 0.001916 loss: 0.0208 (0.0209) loss_rec_all: 0.0568 (0.0571) loss_rec_sfr: 0.0642 (0.0822) loss_cl: -0.3664 (-0.3673) time: 0.8671 data: 0.0003 max mem: 29859 [09:51:32.295239] Epoch: [265] [380/850] eta: 0:06:51 lr: 0.001916 loss: 0.0191 (0.0209) loss_rec_all: 0.0554 (0.0570) loss_rec_sfr: 0.0812 (0.0823) loss_cl: -0.3665 (-0.3672) time: 0.8678 data: 0.0009 max mem: 29859 [09:51:49.595232] Epoch: [265] [400/850] eta: 0:06:33 lr: 0.001915 loss: 0.0182 (0.0208) loss_rec_all: 0.0545 (0.0570) loss_rec_sfr: 0.0765 (0.0819) loss_cl: -0.3670 (-0.3672) time: 0.8649 data: 0.0003 max mem: 29859 [09:52:06.863532] Epoch: [265] [420/850] eta: 0:06:15 lr: 0.001915 loss: 0.0177 (0.0207) loss_rec_all: 0.0539 (0.0568) loss_rec_sfr: 0.0859 (0.0820) loss_cl: -0.3677 (-0.3672) time: 0.8634 data: 0.0002 max mem: 29859 [09:52:24.246567] Epoch: [265] [440/850] eta: 0:05:58 lr: 0.001915 loss: 0.0168 (0.0206) loss_rec_all: 0.0532 (0.0567) loss_rec_sfr: 0.0568 (0.0815) loss_cl: -0.3680 (-0.3673) time: 0.8691 data: 0.0004 max mem: 29859 [09:52:41.522046] Epoch: [265] [460/850] eta: 0:05:40 lr: 0.001915 loss: 0.0174 (0.0204) loss_rec_all: 0.0537 (0.0566) loss_rec_sfr: 0.0583 (0.0811) loss_cl: -0.3678 (-0.3673) time: 0.8637 data: 0.0003 max mem: 29859 [09:52:58.851775] Epoch: [265] [480/850] eta: 0:05:22 lr: 0.001915 loss: 0.0165 (0.0203) loss_rec_all: 0.0528 (0.0564) loss_rec_sfr: 0.0596 (0.0807) loss_cl: -0.3672 (-0.3673) time: 0.8664 data: 0.0002 max mem: 29859 [09:53:16.152335] Epoch: [265] [500/850] eta: 0:05:05 lr: 0.001915 loss: 0.0162 (0.0202) loss_rec_all: 0.0526 (0.0563) loss_rec_sfr: 0.0553 (0.0804) loss_cl: -0.3670 (-0.3673) time: 0.8649 data: 0.0004 max mem: 29859 [09:53:33.477594] Epoch: [265] [520/850] eta: 0:04:47 lr: 0.001915 loss: 0.0161 (0.0200) loss_rec_all: 0.0524 (0.0562) loss_rec_sfr: 0.0790 (0.0803) loss_cl: -0.3664 (-0.3672) time: 0.8662 data: 0.0003 max mem: 29859 [09:53:50.761343] Epoch: [265] [540/850] eta: 0:04:30 lr: 0.001915 loss: 0.0176 (0.0200) loss_rec_all: 0.0534 (0.0561) loss_rec_sfr: 0.0779 (0.0804) loss_cl: -0.3666 (-0.3672) time: 0.8641 data: 0.0003 max mem: 29859 [09:54:08.163148] Epoch: [265] [560/850] eta: 0:04:12 lr: 0.001915 loss: 0.0154 (0.0198) loss_rec_all: 0.0519 (0.0560) loss_rec_sfr: 0.0560 (0.0801) loss_cl: -0.3676 (-0.3672) time: 0.8700 data: 0.0004 max mem: 29859 [09:54:25.465028] Epoch: [265] [580/850] eta: 0:03:55 lr: 0.001915 loss: 0.0159 (0.0197) loss_rec_all: 0.0523 (0.0559) loss_rec_sfr: 0.0531 (0.0797) loss_cl: -0.3676 (-0.3672) time: 0.8650 data: 0.0003 max mem: 29859 [09:54:42.779313] Epoch: [265] [600/850] eta: 0:03:37 lr: 0.001915 loss: 0.0161 (0.0196) loss_rec_all: 0.0523 (0.0558) loss_rec_sfr: 0.0602 (0.0795) loss_cl: -0.3675 (-0.3672) time: 0.8656 data: 0.0002 max mem: 29859 [09:55:00.104905] Epoch: [265] [620/850] eta: 0:03:20 lr: 0.001914 loss: 0.0162 (0.0195) loss_rec_all: 0.0526 (0.0557) loss_rec_sfr: 0.0615 (0.0792) loss_cl: -0.3670 (-0.3672) time: 0.8661 data: 0.0005 max mem: 29859 [09:55:17.435588] Epoch: [265] [640/850] eta: 0:03:02 lr: 0.001914 loss: 0.0180 (0.0195) loss_rec_all: 0.0539 (0.0556) loss_rec_sfr: 0.0801 (0.0793) loss_cl: -0.3667 (-0.3672) time: 0.8665 data: 0.0002 max mem: 29859 [09:55:34.681338] Epoch: [265] [660/850] eta: 0:02:45 lr: 0.001914 loss: 0.0181 (0.0194) loss_rec_all: 0.0542 (0.0556) loss_rec_sfr: 0.0801 (0.0793) loss_cl: -0.3675 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [09:55:52.044303] Epoch: [265] [680/850] eta: 0:02:28 lr: 0.001914 loss: 0.0174 (0.0194) loss_rec_all: 0.0537 (0.0555) loss_rec_sfr: 0.0601 (0.0792) loss_cl: -0.3676 (-0.3672) time: 0.8681 data: 0.0003 max mem: 29859 [09:56:09.304540] Epoch: [265] [700/850] eta: 0:02:10 lr: 0.001914 loss: 0.0173 (0.0193) loss_rec_all: 0.0536 (0.0555) loss_rec_sfr: 0.0588 (0.0790) loss_cl: -0.3675 (-0.3673) time: 0.8630 data: 0.0003 max mem: 29859 [09:56:26.595172] Epoch: [265] [720/850] eta: 0:01:53 lr: 0.001914 loss: 0.0176 (0.0193) loss_rec_all: 0.0539 (0.0555) loss_rec_sfr: 0.0606 (0.0788) loss_cl: -0.3673 (-0.3672) time: 0.8645 data: 0.0002 max mem: 29859 [09:56:43.890077] Epoch: [265] [740/850] eta: 0:01:35 lr: 0.001914 loss: 0.0188 (0.0193) loss_rec_all: 0.0549 (0.0555) loss_rec_sfr: 0.0811 (0.0789) loss_cl: -0.3673 (-0.3672) time: 0.8647 data: 0.0003 max mem: 29859 [09:57:01.275926] Epoch: [265] [760/850] eta: 0:01:18 lr: 0.001914 loss: 0.0182 (0.0193) loss_rec_all: 0.0542 (0.0555) loss_rec_sfr: 0.0780 (0.0790) loss_cl: -0.3671 (-0.3672) time: 0.8692 data: 0.0005 max mem: 29859 [09:57:18.560883] Epoch: [265] [780/850] eta: 0:01:00 lr: 0.001914 loss: 0.0189 (0.0193) loss_rec_all: 0.0550 (0.0555) loss_rec_sfr: 0.0835 (0.0792) loss_cl: -0.3674 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [09:57:35.897427] Epoch: [265] [800/850] eta: 0:00:43 lr: 0.001914 loss: 0.0188 (0.0193) loss_rec_all: 0.0551 (0.0555) loss_rec_sfr: 0.0722 (0.0792) loss_cl: -0.3678 (-0.3673) time: 0.8667 data: 0.0002 max mem: 29859 [09:57:53.203023] Epoch: [265] [820/850] eta: 0:00:26 lr: 0.001914 loss: 0.0195 (0.0193) loss_rec_all: 0.0558 (0.0555) loss_rec_sfr: 0.0596 (0.0791) loss_cl: -0.3684 (-0.3673) time: 0.8652 data: 0.0002 max mem: 29859 [09:58:10.516624] Epoch: [265] [840/850] eta: 0:00:08 lr: 0.001913 loss: 0.0213 (0.0194) loss_rec_all: 0.0576 (0.0556) loss_rec_sfr: 0.0785 (0.0793) loss_cl: -0.3680 (-0.3673) time: 0.8656 data: 0.0007 max mem: 29859 [09:58:18.274284] Epoch: [265] [849/850] eta: 0:00:00 lr: 0.001913 loss: 0.0205 (0.0194) loss_rec_all: 0.0567 (0.0556) loss_rec_sfr: 0.0653 (0.0794) loss_cl: -0.3678 (-0.3673) time: 0.8651 data: 0.0006 max mem: 29859 [09:58:18.424078] Epoch: [265] Total time: 0:12:19 (0.8699 s / it) [09:58:18.426698] Averaged stats: lr: 0.001913 loss: 0.0205 (0.0195) loss_rec_all: 0.0567 (0.0557) loss_rec_sfr: 0.0653 (0.0795) loss_cl: -0.3678 (-0.3673) [09:58:18.439288] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [09:58:23.107050] Epoch: [266] [ 0/850] eta: 1:06:06 lr: 0.001913 loss: 0.0198 (0.0198) loss_rec_all: 0.0558 (0.0558) loss_rec_sfr: 0.1018 (0.1018) loss_cl: -0.3672 (-0.3672) time: 4.6669 data: 3.8025 max mem: 29859 [09:58:40.396169] Epoch: [266] [ 20/850] eta: 0:14:27 lr: 0.001913 loss: 0.0191 (0.0199) loss_rec_all: 0.0554 (0.0561) loss_rec_sfr: 0.0618 (0.0766) loss_cl: -0.3672 (-0.3671) time: 0.8644 data: 0.0004 max mem: 29859 [09:58:57.668963] Epoch: [266] [ 40/850] eta: 0:12:54 lr: 0.001913 loss: 0.0194 (0.0202) loss_rec_all: 0.0556 (0.0564) loss_rec_sfr: 0.0666 (0.0767) loss_cl: -0.3668 (-0.3670) time: 0.8636 data: 0.0002 max mem: 29859 [09:59:14.909949] Epoch: [266] [ 60/850] eta: 0:12:11 lr: 0.001913 loss: 0.0181 (0.0197) loss_rec_all: 0.0541 (0.0559) loss_rec_sfr: 0.0761 (0.0772) loss_cl: -0.3671 (-0.3670) time: 0.8620 data: 0.0002 max mem: 29859 [09:59:32.283783] Epoch: [266] [ 80/850] eta: 0:11:41 lr: 0.001913 loss: 0.0172 (0.0194) loss_rec_all: 0.0534 (0.0556) loss_rec_sfr: 0.0593 (0.0754) loss_cl: -0.3665 (-0.3668) time: 0.8686 data: 0.0003 max mem: 29859 [09:59:49.561525] Epoch: [266] [100/850] eta: 0:11:16 lr: 0.001913 loss: 0.0179 (0.0193) loss_rec_all: 0.0541 (0.0554) loss_rec_sfr: 0.0835 (0.0768) loss_cl: -0.3666 (-0.3667) time: 0.8638 data: 0.0002 max mem: 29859 [10:00:06.865080] Epoch: [266] [120/850] eta: 0:10:54 lr: 0.001913 loss: 0.0164 (0.0189) loss_rec_all: 0.0525 (0.0551) loss_rec_sfr: 0.0520 (0.0754) loss_cl: -0.3670 (-0.3668) time: 0.8651 data: 0.0002 max mem: 29859 [10:00:24.244814] Epoch: [266] [140/850] eta: 0:10:33 lr: 0.001913 loss: 0.0174 (0.0188) loss_rec_all: 0.0534 (0.0550) loss_rec_sfr: 0.0622 (0.0751) loss_cl: -0.3670 (-0.3668) time: 0.8688 data: 0.0004 max mem: 29859 [10:00:41.612945] Epoch: [266] [160/850] eta: 0:10:13 lr: 0.001913 loss: 0.0167 (0.0186) loss_rec_all: 0.0527 (0.0547) loss_rec_sfr: 0.0762 (0.0760) loss_cl: -0.3675 (-0.3669) time: 0.8683 data: 0.0004 max mem: 29859 [10:00:58.867806] Epoch: [266] [180/850] eta: 0:09:53 lr: 0.001913 loss: 0.0168 (0.0185) loss_rec_all: 0.0533 (0.0547) loss_rec_sfr: 0.0764 (0.0763) loss_cl: -0.3683 (-0.3670) time: 0.8627 data: 0.0002 max mem: 29859 [10:01:16.254747] Epoch: [266] [200/850] eta: 0:09:34 lr: 0.001912 loss: 0.0166 (0.0184) loss_rec_all: 0.0528 (0.0546) loss_rec_sfr: 0.0631 (0.0758) loss_cl: -0.3681 (-0.3671) time: 0.8693 data: 0.0005 max mem: 29859 [10:01:33.528481] Epoch: [266] [220/850] eta: 0:09:16 lr: 0.001912 loss: 0.0166 (0.0183) loss_rec_all: 0.0528 (0.0544) loss_rec_sfr: 0.0643 (0.0756) loss_cl: -0.3673 (-0.3671) time: 0.8636 data: 0.0002 max mem: 29859 [10:01:50.833473] Epoch: [266] [240/850] eta: 0:08:57 lr: 0.001912 loss: 0.0174 (0.0182) loss_rec_all: 0.0533 (0.0544) loss_rec_sfr: 0.0750 (0.0760) loss_cl: -0.3671 (-0.3671) time: 0.8652 data: 0.0002 max mem: 29859 [10:02:08.174309] Epoch: [266] [260/850] eta: 0:08:39 lr: 0.001912 loss: 0.0182 (0.0183) loss_rec_all: 0.0542 (0.0545) loss_rec_sfr: 0.0782 (0.0765) loss_cl: -0.3670 (-0.3671) time: 0.8669 data: 0.0003 max mem: 29859 [10:02:25.488215] Epoch: [266] [280/850] eta: 0:08:21 lr: 0.001912 loss: 0.0173 (0.0182) loss_rec_all: 0.0534 (0.0544) loss_rec_sfr: 0.0786 (0.0767) loss_cl: -0.3676 (-0.3672) time: 0.8656 data: 0.0002 max mem: 29859 [10:02:42.789117] Epoch: [266] [300/850] eta: 0:08:02 lr: 0.001912 loss: 0.0167 (0.0182) loss_rec_all: 0.0531 (0.0544) loss_rec_sfr: 0.0762 (0.0767) loss_cl: -0.3680 (-0.3672) time: 0.8650 data: 0.0002 max mem: 29859 [10:03:00.171305] Epoch: [266] [320/850] eta: 0:07:45 lr: 0.001912 loss: 0.0177 (0.0182) loss_rec_all: 0.0541 (0.0544) loss_rec_sfr: 0.0778 (0.0767) loss_cl: -0.3679 (-0.3673) time: 0.8690 data: 0.0004 max mem: 29859 [10:03:17.475118] Epoch: [266] [340/850] eta: 0:07:27 lr: 0.001912 loss: 0.0176 (0.0182) loss_rec_all: 0.0537 (0.0544) loss_rec_sfr: 0.0813 (0.0767) loss_cl: -0.3676 (-0.3673) time: 0.8651 data: 0.0003 max mem: 29859 [10:03:34.784845] Epoch: [266] [360/850] eta: 0:07:09 lr: 0.001912 loss: 0.0168 (0.0182) loss_rec_all: 0.0530 (0.0544) loss_rec_sfr: 0.0575 (0.0764) loss_cl: -0.3675 (-0.3673) time: 0.8654 data: 0.0002 max mem: 29859 [10:03:52.108672] Epoch: [266] [380/850] eta: 0:06:51 lr: 0.001912 loss: 0.0175 (0.0181) loss_rec_all: 0.0539 (0.0543) loss_rec_sfr: 0.0565 (0.0761) loss_cl: -0.3672 (-0.3673) time: 0.8661 data: 0.0005 max mem: 29859 [10:04:09.445482] Epoch: [266] [400/850] eta: 0:06:33 lr: 0.001911 loss: 0.0173 (0.0182) loss_rec_all: 0.0537 (0.0543) loss_rec_sfr: 0.0584 (0.0760) loss_cl: -0.3677 (-0.3673) time: 0.8668 data: 0.0004 max mem: 29859 [10:04:26.711719] Epoch: [266] [420/850] eta: 0:06:16 lr: 0.001911 loss: 0.0186 (0.0182) loss_rec_all: 0.0545 (0.0544) loss_rec_sfr: 0.0809 (0.0765) loss_cl: -0.3671 (-0.3673) time: 0.8632 data: 0.0003 max mem: 29859 [10:04:44.076807] Epoch: [266] [440/850] eta: 0:05:58 lr: 0.001911 loss: 0.0177 (0.0183) loss_rec_all: 0.0541 (0.0544) loss_rec_sfr: 0.0550 (0.0762) loss_cl: -0.3668 (-0.3672) time: 0.8682 data: 0.0004 max mem: 29859 [10:05:01.430290] Epoch: [266] [460/850] eta: 0:05:40 lr: 0.001911 loss: 0.0219 (0.0184) loss_rec_all: 0.0580 (0.0546) loss_rec_sfr: 0.0680 (0.0764) loss_cl: -0.3664 (-0.3672) time: 0.8676 data: 0.0003 max mem: 29859 [10:05:18.728768] Epoch: [266] [480/850] eta: 0:05:23 lr: 0.001911 loss: 0.0212 (0.0186) loss_rec_all: 0.0573 (0.0548) loss_rec_sfr: 0.0915 (0.0771) loss_cl: -0.3671 (-0.3672) time: 0.8648 data: 0.0002 max mem: 29859 [10:05:36.046796] Epoch: [266] [500/850] eta: 0:05:05 lr: 0.001911 loss: 0.0193 (0.0187) loss_rec_all: 0.0554 (0.0549) loss_rec_sfr: 0.0604 (0.0771) loss_cl: -0.3675 (-0.3672) time: 0.8658 data: 0.0003 max mem: 29859 [10:05:53.453610] Epoch: [266] [520/850] eta: 0:04:48 lr: 0.001911 loss: 0.0211 (0.0188) loss_rec_all: 0.0571 (0.0550) loss_rec_sfr: 0.0911 (0.0775) loss_cl: -0.3678 (-0.3672) time: 0.8703 data: 0.0005 max mem: 29859 [10:06:10.715251] Epoch: [266] [540/850] eta: 0:04:30 lr: 0.001911 loss: 0.0208 (0.0189) loss_rec_all: 0.0568 (0.0550) loss_rec_sfr: 0.0833 (0.0777) loss_cl: -0.3677 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [10:06:28.094382] Epoch: [266] [560/850] eta: 0:04:13 lr: 0.001911 loss: 0.0186 (0.0189) loss_rec_all: 0.0548 (0.0551) loss_rec_sfr: 0.0578 (0.0776) loss_cl: -0.3673 (-0.3673) time: 0.8688 data: 0.0003 max mem: 29859 [10:06:45.448354] Epoch: [266] [580/850] eta: 0:03:55 lr: 0.001911 loss: 0.0179 (0.0188) loss_rec_all: 0.0540 (0.0550) loss_rec_sfr: 0.0635 (0.0775) loss_cl: -0.3675 (-0.3673) time: 0.8675 data: 0.0005 max mem: 29859 [10:07:02.787064] Epoch: [266] [600/850] eta: 0:03:38 lr: 0.001911 loss: 0.0178 (0.0189) loss_rec_all: 0.0541 (0.0550) loss_rec_sfr: 0.0797 (0.0774) loss_cl: -0.3677 (-0.3673) time: 0.8669 data: 0.0004 max mem: 29859 [10:07:20.056416] Epoch: [266] [620/850] eta: 0:03:20 lr: 0.001910 loss: 0.0180 (0.0188) loss_rec_all: 0.0543 (0.0550) loss_rec_sfr: 0.0609 (0.0774) loss_cl: -0.3675 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [10:07:37.480116] Epoch: [266] [640/850] eta: 0:03:03 lr: 0.001910 loss: 0.0171 (0.0188) loss_rec_all: 0.0530 (0.0550) loss_rec_sfr: 0.0739 (0.0774) loss_cl: -0.3672 (-0.3673) time: 0.8711 data: 0.0004 max mem: 29859 [10:07:54.767612] Epoch: [266] [660/850] eta: 0:02:45 lr: 0.001910 loss: 0.0169 (0.0188) loss_rec_all: 0.0533 (0.0549) loss_rec_sfr: 0.0781 (0.0775) loss_cl: -0.3675 (-0.3673) time: 0.8643 data: 0.0003 max mem: 29859 [10:08:12.101158] Epoch: [266] [680/850] eta: 0:02:28 lr: 0.001910 loss: 0.0163 (0.0187) loss_rec_all: 0.0526 (0.0549) loss_rec_sfr: 0.0580 (0.0772) loss_cl: -0.3674 (-0.3673) time: 0.8666 data: 0.0003 max mem: 29859 [10:08:29.423967] Epoch: [266] [700/850] eta: 0:02:10 lr: 0.001910 loss: 0.0174 (0.0187) loss_rec_all: 0.0535 (0.0549) loss_rec_sfr: 0.0769 (0.0771) loss_cl: -0.3669 (-0.3673) time: 0.8661 data: 0.0004 max mem: 29859 [10:08:46.809240] Epoch: [266] [720/850] eta: 0:01:53 lr: 0.001910 loss: 0.0166 (0.0186) loss_rec_all: 0.0525 (0.0548) loss_rec_sfr: 0.0764 (0.0771) loss_cl: -0.3669 (-0.3673) time: 0.8692 data: 0.0003 max mem: 29859 [10:09:04.061008] Epoch: [266] [740/850] eta: 0:01:35 lr: 0.001910 loss: 0.0164 (0.0186) loss_rec_all: 0.0526 (0.0548) loss_rec_sfr: 0.0577 (0.0770) loss_cl: -0.3666 (-0.3672) time: 0.8625 data: 0.0003 max mem: 29859 [10:09:21.379055] Epoch: [266] [760/850] eta: 0:01:18 lr: 0.001910 loss: 0.0154 (0.0185) loss_rec_all: 0.0517 (0.0547) loss_rec_sfr: 0.0507 (0.0768) loss_cl: -0.3671 (-0.3672) time: 0.8658 data: 0.0003 max mem: 29859 [10:09:38.777229] Epoch: [266] [780/850] eta: 0:01:00 lr: 0.001910 loss: 0.0168 (0.0185) loss_rec_all: 0.0531 (0.0547) loss_rec_sfr: 0.0756 (0.0769) loss_cl: -0.3683 (-0.3673) time: 0.8698 data: 0.0004 max mem: 29859 [10:09:56.097710] Epoch: [266] [800/850] eta: 0:00:43 lr: 0.001910 loss: 0.0180 (0.0185) loss_rec_all: 0.0544 (0.0547) loss_rec_sfr: 0.0628 (0.0770) loss_cl: -0.3684 (-0.3673) time: 0.8660 data: 0.0003 max mem: 29859 [10:10:13.391253] Epoch: [266] [820/850] eta: 0:00:26 lr: 0.001910 loss: 0.0188 (0.0185) loss_rec_all: 0.0551 (0.0547) loss_rec_sfr: 0.0750 (0.0771) loss_cl: -0.3685 (-0.3673) time: 0.8646 data: 0.0003 max mem: 29859 [10:10:30.834773] Epoch: [266] [840/850] eta: 0:00:08 lr: 0.001909 loss: 0.0198 (0.0185) loss_rec_all: 0.0556 (0.0547) loss_rec_sfr: 0.0829 (0.0774) loss_cl: -0.3678 (-0.3673) time: 0.8721 data: 0.0016 max mem: 29859 [10:10:38.618270] Epoch: [266] [849/850] eta: 0:00:00 lr: 0.001909 loss: 0.0187 (0.0185) loss_rec_all: 0.0549 (0.0547) loss_rec_sfr: 0.0841 (0.0776) loss_cl: -0.3675 (-0.3673) time: 0.8707 data: 0.0015 max mem: 29859 [10:10:38.799411] Epoch: [266] Total time: 0:12:20 (0.8710 s / it) [10:10:38.802301] Averaged stats: lr: 0.001909 loss: 0.0187 (0.0186) loss_rec_all: 0.0549 (0.0548) loss_rec_sfr: 0.0841 (0.0778) loss_cl: -0.3675 (-0.3673) [10:10:38.815599] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [10:10:42.941287] Epoch: [267] [ 0/850] eta: 0:58:26 lr: 0.001909 loss: 0.0176 (0.0176) loss_rec_all: 0.0536 (0.0536) loss_rec_sfr: 0.1182 (0.1182) loss_cl: -0.3676 (-0.3676) time: 4.1249 data: 3.2685 max mem: 29859 [10:11:00.209552] Epoch: [267] [ 20/850] eta: 0:14:05 lr: 0.001909 loss: 0.0185 (0.0189) loss_rec_all: 0.0547 (0.0551) loss_rec_sfr: 0.0763 (0.0795) loss_cl: -0.3670 (-0.3671) time: 0.8634 data: 0.0003 max mem: 29859 [10:11:17.571681] Epoch: [267] [ 40/850] eta: 0:12:45 lr: 0.001909 loss: 0.0174 (0.0186) loss_rec_all: 0.0535 (0.0548) loss_rec_sfr: 0.0782 (0.0813) loss_cl: -0.3672 (-0.3671) time: 0.8680 data: 0.0003 max mem: 29859 [10:11:34.874102] Epoch: [267] [ 60/850] eta: 0:12:05 lr: 0.001909 loss: 0.0169 (0.0182) loss_rec_all: 0.0531 (0.0544) loss_rec_sfr: 0.0559 (0.0770) loss_cl: -0.3671 (-0.3671) time: 0.8650 data: 0.0004 max mem: 29859 [10:11:52.204920] Epoch: [267] [ 80/850] eta: 0:11:37 lr: 0.001909 loss: 0.0164 (0.0181) loss_rec_all: 0.0528 (0.0542) loss_rec_sfr: 0.0617 (0.0766) loss_cl: -0.3671 (-0.3671) time: 0.8665 data: 0.0002 max mem: 29859 [10:12:09.511824] Epoch: [267] [100/850] eta: 0:11:13 lr: 0.001909 loss: 0.0162 (0.0178) loss_rec_all: 0.0523 (0.0539) loss_rec_sfr: 0.0628 (0.0765) loss_cl: -0.3676 (-0.3672) time: 0.8653 data: 0.0002 max mem: 29859 [10:12:26.932258] Epoch: [267] [120/850] eta: 0:10:52 lr: 0.001909 loss: 0.0156 (0.0177) loss_rec_all: 0.0520 (0.0539) loss_rec_sfr: 0.0596 (0.0756) loss_cl: -0.3673 (-0.3672) time: 0.8709 data: 0.0003 max mem: 29859 [10:12:44.224095] Epoch: [267] [140/850] eta: 0:10:31 lr: 0.001909 loss: 0.0166 (0.0177) loss_rec_all: 0.0528 (0.0539) loss_rec_sfr: 0.0582 (0.0756) loss_cl: -0.3674 (-0.3672) time: 0.8645 data: 0.0002 max mem: 29859 [10:13:01.561735] Epoch: [267] [160/850] eta: 0:10:11 lr: 0.001909 loss: 0.0183 (0.0178) loss_rec_all: 0.0543 (0.0540) loss_rec_sfr: 0.0835 (0.0768) loss_cl: -0.3672 (-0.3672) time: 0.8668 data: 0.0002 max mem: 29859 [10:13:18.955717] Epoch: [267] [180/850] eta: 0:09:52 lr: 0.001909 loss: 0.0169 (0.0179) loss_rec_all: 0.0529 (0.0540) loss_rec_sfr: 0.0797 (0.0769) loss_cl: -0.3668 (-0.3672) time: 0.8696 data: 0.0003 max mem: 29859 [10:13:36.307195] Epoch: [267] [200/850] eta: 0:09:33 lr: 0.001908 loss: 0.0171 (0.0179) loss_rec_all: 0.0532 (0.0540) loss_rec_sfr: 0.0633 (0.0769) loss_cl: -0.3666 (-0.3671) time: 0.8675 data: 0.0003 max mem: 29859 [10:13:53.601728] Epoch: [267] [220/850] eta: 0:09:15 lr: 0.001908 loss: 0.0186 (0.0179) loss_rec_all: 0.0547 (0.0541) loss_rec_sfr: 0.0815 (0.0773) loss_cl: -0.3669 (-0.3671) time: 0.8647 data: 0.0002 max mem: 29859 [10:14:11.013812] Epoch: [267] [240/850] eta: 0:08:57 lr: 0.001908 loss: 0.0169 (0.0179) loss_rec_all: 0.0532 (0.0541) loss_rec_sfr: 0.0573 (0.0767) loss_cl: -0.3676 (-0.3671) time: 0.8705 data: 0.0003 max mem: 29859 [10:14:28.352388] Epoch: [267] [260/850] eta: 0:08:38 lr: 0.001908 loss: 0.0173 (0.0179) loss_rec_all: 0.0537 (0.0541) loss_rec_sfr: 0.0634 (0.0764) loss_cl: -0.3681 (-0.3672) time: 0.8669 data: 0.0003 max mem: 29859 [10:14:45.707852] Epoch: [267] [280/850] eta: 0:08:20 lr: 0.001908 loss: 0.0172 (0.0180) loss_rec_all: 0.0535 (0.0542) loss_rec_sfr: 0.0627 (0.0764) loss_cl: -0.3680 (-0.3673) time: 0.8677 data: 0.0002 max mem: 29859 [10:15:03.074448] Epoch: [267] [300/850] eta: 0:08:02 lr: 0.001908 loss: 0.0184 (0.0181) loss_rec_all: 0.0548 (0.0543) loss_rec_sfr: 0.0606 (0.0763) loss_cl: -0.3681 (-0.3673) time: 0.8682 data: 0.0003 max mem: 29859 [10:15:20.498040] Epoch: [267] [320/850] eta: 0:07:45 lr: 0.001908 loss: 0.0204 (0.0182) loss_rec_all: 0.0568 (0.0544) loss_rec_sfr: 0.0675 (0.0769) loss_cl: -0.3681 (-0.3674) time: 0.8711 data: 0.0003 max mem: 29859 [10:15:37.798715] Epoch: [267] [340/850] eta: 0:07:27 lr: 0.001908 loss: 0.0199 (0.0183) loss_rec_all: 0.0560 (0.0545) loss_rec_sfr: 0.0768 (0.0774) loss_cl: -0.3675 (-0.3674) time: 0.8650 data: 0.0002 max mem: 29859 [10:15:55.168064] Epoch: [267] [360/850] eta: 0:07:09 lr: 0.001908 loss: 0.0196 (0.0184) loss_rec_all: 0.0557 (0.0546) loss_rec_sfr: 0.0805 (0.0780) loss_cl: -0.3670 (-0.3673) time: 0.8683 data: 0.0003 max mem: 29859 [10:16:12.573958] Epoch: [267] [380/850] eta: 0:06:51 lr: 0.001908 loss: 0.0185 (0.0184) loss_rec_all: 0.0545 (0.0546) loss_rec_sfr: 0.0679 (0.0778) loss_cl: -0.3670 (-0.3673) time: 0.8702 data: 0.0002 max mem: 29859 [10:16:29.909700] Epoch: [267] [400/850] eta: 0:06:33 lr: 0.001907 loss: 0.0163 (0.0184) loss_rec_all: 0.0527 (0.0546) loss_rec_sfr: 0.0566 (0.0777) loss_cl: -0.3671 (-0.3673) time: 0.8667 data: 0.0002 max mem: 29859 [10:16:47.234520] Epoch: [267] [420/850] eta: 0:06:16 lr: 0.001907 loss: 0.0162 (0.0183) loss_rec_all: 0.0525 (0.0545) loss_rec_sfr: 0.0564 (0.0774) loss_cl: -0.3672 (-0.3673) time: 0.8662 data: 0.0002 max mem: 29859 [10:17:04.650794] Epoch: [267] [440/850] eta: 0:05:58 lr: 0.001907 loss: 0.0170 (0.0183) loss_rec_all: 0.0531 (0.0545) loss_rec_sfr: 0.0615 (0.0771) loss_cl: -0.3674 (-0.3673) time: 0.8707 data: 0.0004 max mem: 29859 [10:17:21.960828] Epoch: [267] [460/850] eta: 0:05:41 lr: 0.001907 loss: 0.0173 (0.0183) loss_rec_all: 0.0536 (0.0545) loss_rec_sfr: 0.0632 (0.0771) loss_cl: -0.3672 (-0.3673) time: 0.8654 data: 0.0002 max mem: 29859 [10:17:39.328743] Epoch: [267] [480/850] eta: 0:05:23 lr: 0.001907 loss: 0.0174 (0.0183) loss_rec_all: 0.0538 (0.0545) loss_rec_sfr: 0.0682 (0.0770) loss_cl: -0.3671 (-0.3673) time: 0.8683 data: 0.0006 max mem: 29859 [10:17:56.689165] Epoch: [267] [500/850] eta: 0:05:05 lr: 0.001907 loss: 0.0176 (0.0183) loss_rec_all: 0.0536 (0.0544) loss_rec_sfr: 0.0792 (0.0771) loss_cl: -0.3674 (-0.3673) time: 0.8679 data: 0.0003 max mem: 29859 [10:18:14.057903] Epoch: [267] [520/850] eta: 0:04:48 lr: 0.001907 loss: 0.0173 (0.0182) loss_rec_all: 0.0537 (0.0544) loss_rec_sfr: 0.0796 (0.0773) loss_cl: -0.3675 (-0.3673) time: 0.8684 data: 0.0003 max mem: 29859 [10:18:31.356535] Epoch: [267] [540/850] eta: 0:04:30 lr: 0.001907 loss: 0.0180 (0.0183) loss_rec_all: 0.0544 (0.0544) loss_rec_sfr: 0.0779 (0.0773) loss_cl: -0.3682 (-0.3673) time: 0.8648 data: 0.0005 max mem: 29859 [10:18:48.744313] Epoch: [267] [560/850] eta: 0:04:13 lr: 0.001907 loss: 0.0189 (0.0183) loss_rec_all: 0.0552 (0.0545) loss_rec_sfr: 0.0631 (0.0773) loss_cl: -0.3679 (-0.3673) time: 0.8692 data: 0.0003 max mem: 29859 [10:19:06.103454] Epoch: [267] [580/850] eta: 0:03:55 lr: 0.001907 loss: 0.0212 (0.0185) loss_rec_all: 0.0575 (0.0547) loss_rec_sfr: 0.0631 (0.0774) loss_cl: -0.3672 (-0.3673) time: 0.8679 data: 0.0003 max mem: 29859 [10:19:23.459970] Epoch: [267] [600/850] eta: 0:03:38 lr: 0.001907 loss: 0.0202 (0.0186) loss_rec_all: 0.0561 (0.0548) loss_rec_sfr: 0.0826 (0.0775) loss_cl: -0.3665 (-0.3673) time: 0.8677 data: 0.0002 max mem: 29859 [10:19:40.841777] Epoch: [267] [620/850] eta: 0:03:20 lr: 0.001906 loss: 0.0204 (0.0187) loss_rec_all: 0.0566 (0.0548) loss_rec_sfr: 0.0825 (0.0775) loss_cl: -0.3668 (-0.3673) time: 0.8690 data: 0.0002 max mem: 29859 [10:19:58.278705] Epoch: [267] [640/850] eta: 0:03:03 lr: 0.001906 loss: 0.0188 (0.0187) loss_rec_all: 0.0549 (0.0549) loss_rec_sfr: 0.0584 (0.0772) loss_cl: -0.3674 (-0.3673) time: 0.8718 data: 0.0003 max mem: 29859 [10:20:15.607354] Epoch: [267] [660/850] eta: 0:02:45 lr: 0.001906 loss: 0.0182 (0.0187) loss_rec_all: 0.0546 (0.0549) loss_rec_sfr: 0.0634 (0.0773) loss_cl: -0.3677 (-0.3673) time: 0.8664 data: 0.0003 max mem: 29859 [10:20:32.965294] Epoch: [267] [680/850] eta: 0:02:28 lr: 0.001906 loss: 0.0176 (0.0187) loss_rec_all: 0.0540 (0.0549) loss_rec_sfr: 0.0576 (0.0770) loss_cl: -0.3677 (-0.3673) time: 0.8678 data: 0.0003 max mem: 29859 [10:20:50.337430] Epoch: [267] [700/850] eta: 0:02:10 lr: 0.001906 loss: 0.0177 (0.0187) loss_rec_all: 0.0538 (0.0549) loss_rec_sfr: 0.0596 (0.0769) loss_cl: -0.3671 (-0.3673) time: 0.8685 data: 0.0003 max mem: 29859 [10:21:07.692767] Epoch: [267] [720/850] eta: 0:01:53 lr: 0.001906 loss: 0.0166 (0.0187) loss_rec_all: 0.0529 (0.0548) loss_rec_sfr: 0.0597 (0.0769) loss_cl: -0.3670 (-0.3673) time: 0.8677 data: 0.0002 max mem: 29859 [10:21:25.009596] Epoch: [267] [740/850] eta: 0:01:35 lr: 0.001906 loss: 0.0172 (0.0186) loss_rec_all: 0.0535 (0.0548) loss_rec_sfr: 0.0752 (0.0770) loss_cl: -0.3670 (-0.3673) time: 0.8658 data: 0.0002 max mem: 29859 [10:21:42.434399] Epoch: [267] [760/850] eta: 0:01:18 lr: 0.001906 loss: 0.0176 (0.0186) loss_rec_all: 0.0538 (0.0548) loss_rec_sfr: 0.0769 (0.0770) loss_cl: -0.3675 (-0.3673) time: 0.8712 data: 0.0003 max mem: 29859 [10:21:59.752153] Epoch: [267] [780/850] eta: 0:01:01 lr: 0.001906 loss: 0.0178 (0.0186) loss_rec_all: 0.0542 (0.0548) loss_rec_sfr: 0.0764 (0.0770) loss_cl: -0.3675 (-0.3673) time: 0.8658 data: 0.0003 max mem: 29859 [10:22:17.115845] Epoch: [267] [800/850] eta: 0:00:43 lr: 0.001906 loss: 0.0167 (0.0186) loss_rec_all: 0.0530 (0.0548) loss_rec_sfr: 0.0614 (0.0770) loss_cl: -0.3676 (-0.3673) time: 0.8681 data: 0.0002 max mem: 29859 [10:22:34.465547] Epoch: [267] [820/850] eta: 0:00:26 lr: 0.001906 loss: 0.0172 (0.0186) loss_rec_all: 0.0536 (0.0548) loss_rec_sfr: 0.0762 (0.0769) loss_cl: -0.3678 (-0.3673) time: 0.8674 data: 0.0003 max mem: 29859 [10:22:51.877483] Epoch: [267] [840/850] eta: 0:00:08 lr: 0.001905 loss: 0.0159 (0.0185) loss_rec_all: 0.0523 (0.0547) loss_rec_sfr: 0.0579 (0.0766) loss_cl: -0.3677 (-0.3673) time: 0.8705 data: 0.0008 max mem: 29859 [10:22:59.664015] Epoch: [267] [849/850] eta: 0:00:00 lr: 0.001905 loss: 0.0159 (0.0185) loss_rec_all: 0.0523 (0.0547) loss_rec_sfr: 0.0594 (0.0765) loss_cl: -0.3675 (-0.3673) time: 0.8678 data: 0.0007 max mem: 29859 [10:22:59.821481] Epoch: [267] Total time: 0:12:21 (0.8718 s / it) [10:22:59.829068] Averaged stats: lr: 0.001905 loss: 0.0159 (0.0185) loss_rec_all: 0.0523 (0.0547) loss_rec_sfr: 0.0594 (0.0767) loss_cl: -0.3675 (-0.3673) [10:22:59.841106] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [10:23:04.599195] Epoch: [268] [ 0/850] eta: 1:07:23 lr: 0.001905 loss: 0.0265 (0.0265) loss_rec_all: 0.0627 (0.0627) loss_rec_sfr: 0.0887 (0.0887) loss_cl: -0.3675 (-0.3675) time: 4.7572 data: 3.6701 max mem: 29859 [10:23:21.883518] Epoch: [268] [ 20/850] eta: 0:14:31 lr: 0.001905 loss: 0.0162 (0.0168) loss_rec_all: 0.0523 (0.0530) loss_rec_sfr: 0.0701 (0.0763) loss_cl: -0.3676 (-0.3676) time: 0.8641 data: 0.0003 max mem: 29859 [10:23:39.319324] Epoch: [268] [ 40/850] eta: 0:12:59 lr: 0.001905 loss: 0.0179 (0.0177) loss_rec_all: 0.0543 (0.0539) loss_rec_sfr: 0.0654 (0.0742) loss_cl: -0.3675 (-0.3675) time: 0.8717 data: 0.0004 max mem: 29859 [10:23:56.602427] Epoch: [268] [ 60/850] eta: 0:12:15 lr: 0.001905 loss: 0.0189 (0.0182) loss_rec_all: 0.0551 (0.0544) loss_rec_sfr: 0.0802 (0.0784) loss_cl: -0.3674 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [10:24:13.952977] Epoch: [268] [ 80/850] eta: 0:11:44 lr: 0.001905 loss: 0.0182 (0.0186) loss_rec_all: 0.0544 (0.0548) loss_rec_sfr: 0.0773 (0.0779) loss_cl: -0.3669 (-0.3673) time: 0.8674 data: 0.0002 max mem: 29859 [10:24:31.334084] Epoch: [268] [100/850] eta: 0:11:19 lr: 0.001905 loss: 0.0180 (0.0187) loss_rec_all: 0.0542 (0.0549) loss_rec_sfr: 0.0671 (0.0775) loss_cl: -0.3667 (-0.3672) time: 0.8690 data: 0.0004 max mem: 29859 [10:24:48.666884] Epoch: [268] [120/850] eta: 0:10:56 lr: 0.001905 loss: 0.0176 (0.0185) loss_rec_all: 0.0536 (0.0547) loss_rec_sfr: 0.0719 (0.0781) loss_cl: -0.3667 (-0.3671) time: 0.8666 data: 0.0002 max mem: 29859 [10:25:05.973104] Epoch: [268] [140/850] eta: 0:10:35 lr: 0.001905 loss: 0.0173 (0.0184) loss_rec_all: 0.0535 (0.0546) loss_rec_sfr: 0.0555 (0.0770) loss_cl: -0.3677 (-0.3671) time: 0.8653 data: 0.0003 max mem: 29859 [10:25:23.383713] Epoch: [268] [160/850] eta: 0:10:15 lr: 0.001905 loss: 0.0167 (0.0183) loss_rec_all: 0.0530 (0.0545) loss_rec_sfr: 0.0792 (0.0776) loss_cl: -0.3675 (-0.3672) time: 0.8705 data: 0.0003 max mem: 29859 [10:25:40.704030] Epoch: [268] [180/850] eta: 0:09:55 lr: 0.001905 loss: 0.0173 (0.0183) loss_rec_all: 0.0536 (0.0545) loss_rec_sfr: 0.0589 (0.0774) loss_cl: -0.3672 (-0.3672) time: 0.8660 data: 0.0011 max mem: 29859 [10:25:58.096028] Epoch: [268] [200/850] eta: 0:09:36 lr: 0.001904 loss: 0.0164 (0.0182) loss_rec_all: 0.0527 (0.0544) loss_rec_sfr: 0.0565 (0.0768) loss_cl: -0.3668 (-0.3671) time: 0.8695 data: 0.0002 max mem: 29859 [10:26:15.422966] Epoch: [268] [220/850] eta: 0:09:17 lr: 0.001904 loss: 0.0159 (0.0181) loss_rec_all: 0.0523 (0.0543) loss_rec_sfr: 0.0592 (0.0759) loss_cl: -0.3672 (-0.3671) time: 0.8662 data: 0.0006 max mem: 29859 [10:26:32.852170] Epoch: [268] [240/850] eta: 0:08:59 lr: 0.001904 loss: 0.0175 (0.0181) loss_rec_all: 0.0536 (0.0543) loss_rec_sfr: 0.0618 (0.0761) loss_cl: -0.3674 (-0.3672) time: 0.8714 data: 0.0004 max mem: 29859 [10:26:50.160513] Epoch: [268] [260/850] eta: 0:08:40 lr: 0.001904 loss: 0.0193 (0.0183) loss_rec_all: 0.0557 (0.0545) loss_rec_sfr: 0.0597 (0.0764) loss_cl: -0.3681 (-0.3672) time: 0.8654 data: 0.0006 max mem: 29859 [10:27:07.529803] Epoch: [268] [280/850] eta: 0:08:22 lr: 0.001904 loss: 0.0192 (0.0185) loss_rec_all: 0.0556 (0.0547) loss_rec_sfr: 0.0805 (0.0769) loss_cl: -0.3680 (-0.3673) time: 0.8684 data: 0.0005 max mem: 29859 [10:27:24.945157] Epoch: [268] [300/850] eta: 0:08:04 lr: 0.001904 loss: 0.0186 (0.0186) loss_rec_all: 0.0550 (0.0548) loss_rec_sfr: 0.0558 (0.0769) loss_cl: -0.3684 (-0.3673) time: 0.8707 data: 0.0010 max mem: 29859 [10:27:42.285473] Epoch: [268] [320/850] eta: 0:07:46 lr: 0.001904 loss: 0.0189 (0.0187) loss_rec_all: 0.0551 (0.0549) loss_rec_sfr: 0.0667 (0.0771) loss_cl: -0.3674 (-0.3673) time: 0.8670 data: 0.0002 max mem: 29859 [10:27:59.586440] Epoch: [268] [340/850] eta: 0:07:28 lr: 0.001904 loss: 0.0187 (0.0187) loss_rec_all: 0.0549 (0.0549) loss_rec_sfr: 0.0802 (0.0773) loss_cl: -0.3671 (-0.3673) time: 0.8650 data: 0.0002 max mem: 29859 [10:28:17.033517] Epoch: [268] [360/850] eta: 0:07:10 lr: 0.001904 loss: 0.0189 (0.0188) loss_rec_all: 0.0551 (0.0550) loss_rec_sfr: 0.0860 (0.0778) loss_cl: -0.3668 (-0.3673) time: 0.8723 data: 0.0004 max mem: 29859 [10:28:34.367852] Epoch: [268] [380/850] eta: 0:06:52 lr: 0.001904 loss: 0.0186 (0.0188) loss_rec_all: 0.0545 (0.0550) loss_rec_sfr: 0.0858 (0.0783) loss_cl: -0.3669 (-0.3673) time: 0.8667 data: 0.0002 max mem: 29859 [10:28:51.724762] Epoch: [268] [400/850] eta: 0:06:34 lr: 0.001903 loss: 0.0175 (0.0188) loss_rec_all: 0.0539 (0.0550) loss_rec_sfr: 0.0590 (0.0782) loss_cl: -0.3675 (-0.3673) time: 0.8678 data: 0.0006 max mem: 29859 [10:29:09.088715] Epoch: [268] [420/850] eta: 0:06:17 lr: 0.001903 loss: 0.0182 (0.0188) loss_rec_all: 0.0541 (0.0550) loss_rec_sfr: 0.0748 (0.0782) loss_cl: -0.3680 (-0.3673) time: 0.8681 data: 0.0003 max mem: 29859 [10:29:26.476491] Epoch: [268] [440/850] eta: 0:05:59 lr: 0.001903 loss: 0.0170 (0.0187) loss_rec_all: 0.0531 (0.0549) loss_rec_sfr: 0.0755 (0.0782) loss_cl: -0.3679 (-0.3673) time: 0.8693 data: 0.0003 max mem: 29859 [10:29:43.792220] Epoch: [268] [460/850] eta: 0:05:41 lr: 0.001903 loss: 0.0176 (0.0187) loss_rec_all: 0.0540 (0.0549) loss_rec_sfr: 0.0567 (0.0778) loss_cl: -0.3682 (-0.3674) time: 0.8651 data: 0.0002 max mem: 29859 [10:30:01.180551] Epoch: [268] [480/850] eta: 0:05:24 lr: 0.001903 loss: 0.0173 (0.0186) loss_rec_all: 0.0537 (0.0548) loss_rec_sfr: 0.0744 (0.0778) loss_cl: -0.3680 (-0.3674) time: 0.8694 data: 0.0006 max mem: 29859 [10:30:18.572398] Epoch: [268] [500/850] eta: 0:05:06 lr: 0.001903 loss: 0.0168 (0.0186) loss_rec_all: 0.0527 (0.0548) loss_rec_sfr: 0.0573 (0.0776) loss_cl: -0.3662 (-0.3674) time: 0.8694 data: 0.0004 max mem: 29859 [10:30:35.946064] Epoch: [268] [520/850] eta: 0:04:48 lr: 0.001903 loss: 0.0173 (0.0186) loss_rec_all: 0.0536 (0.0548) loss_rec_sfr: 0.0575 (0.0773) loss_cl: -0.3659 (-0.3673) time: 0.8686 data: 0.0002 max mem: 29859 [10:30:53.290722] Epoch: [268] [540/850] eta: 0:04:31 lr: 0.001903 loss: 0.0175 (0.0186) loss_rec_all: 0.0536 (0.0548) loss_rec_sfr: 0.0754 (0.0774) loss_cl: -0.3665 (-0.3673) time: 0.8672 data: 0.0003 max mem: 29859 [10:31:10.771326] Epoch: [268] [560/850] eta: 0:04:13 lr: 0.001903 loss: 0.0168 (0.0185) loss_rec_all: 0.0530 (0.0547) loss_rec_sfr: 0.0576 (0.0768) loss_cl: -0.3669 (-0.3672) time: 0.8740 data: 0.0003 max mem: 29859 [10:31:28.090509] Epoch: [268] [580/850] eta: 0:03:56 lr: 0.001903 loss: 0.0173 (0.0185) loss_rec_all: 0.0534 (0.0547) loss_rec_sfr: 0.0789 (0.0769) loss_cl: -0.3674 (-0.3672) time: 0.8659 data: 0.0002 max mem: 29859 [10:31:45.498686] Epoch: [268] [600/850] eta: 0:03:38 lr: 0.001903 loss: 0.0169 (0.0185) loss_rec_all: 0.0533 (0.0547) loss_rec_sfr: 0.0545 (0.0766) loss_cl: -0.3676 (-0.3673) time: 0.8703 data: 0.0002 max mem: 29859 [10:32:02.894510] Epoch: [268] [620/850] eta: 0:03:21 lr: 0.001902 loss: 0.0183 (0.0185) loss_rec_all: 0.0547 (0.0547) loss_rec_sfr: 0.0778 (0.0766) loss_cl: -0.3678 (-0.3673) time: 0.8697 data: 0.0004 max mem: 29859 [10:32:20.268597] Epoch: [268] [640/850] eta: 0:03:03 lr: 0.001902 loss: 0.0201 (0.0185) loss_rec_all: 0.0562 (0.0547) loss_rec_sfr: 0.1015 (0.0771) loss_cl: -0.3676 (-0.3673) time: 0.8686 data: 0.0002 max mem: 29859 [10:32:37.588621] Epoch: [268] [660/850] eta: 0:02:46 lr: 0.001902 loss: 0.0206 (0.0186) loss_rec_all: 0.0569 (0.0548) loss_rec_sfr: 0.0655 (0.0771) loss_cl: -0.3674 (-0.3673) time: 0.8659 data: 0.0003 max mem: 29859 [10:32:55.008458] Epoch: [268] [680/850] eta: 0:02:28 lr: 0.001902 loss: 0.0215 (0.0187) loss_rec_all: 0.0578 (0.0549) loss_rec_sfr: 0.0667 (0.0773) loss_cl: -0.3674 (-0.3673) time: 0.8709 data: 0.0004 max mem: 29859 [10:33:12.322621] Epoch: [268] [700/850] eta: 0:02:11 lr: 0.001902 loss: 0.0201 (0.0187) loss_rec_all: 0.0562 (0.0549) loss_rec_sfr: 0.0847 (0.0776) loss_cl: -0.3672 (-0.3673) time: 0.8657 data: 0.0002 max mem: 29859 [10:33:29.675260] Epoch: [268] [720/850] eta: 0:01:53 lr: 0.001902 loss: 0.0188 (0.0188) loss_rec_all: 0.0548 (0.0550) loss_rec_sfr: 0.0824 (0.0776) loss_cl: -0.3675 (-0.3673) time: 0.8676 data: 0.0002 max mem: 29859 [10:33:47.030977] Epoch: [268] [740/850] eta: 0:01:36 lr: 0.001902 loss: 0.0183 (0.0188) loss_rec_all: 0.0545 (0.0550) loss_rec_sfr: 0.0625 (0.0775) loss_cl: -0.3675 (-0.3673) time: 0.8677 data: 0.0003 max mem: 29859 [10:34:04.430167] Epoch: [268] [760/850] eta: 0:01:18 lr: 0.001902 loss: 0.0186 (0.0188) loss_rec_all: 0.0547 (0.0550) loss_rec_sfr: 0.0835 (0.0778) loss_cl: -0.3672 (-0.3673) time: 0.8699 data: 0.0003 max mem: 29859 [10:34:21.759552] Epoch: [268] [780/850] eta: 0:01:01 lr: 0.001902 loss: 0.0181 (0.0188) loss_rec_all: 0.0542 (0.0550) loss_rec_sfr: 0.0776 (0.0779) loss_cl: -0.3667 (-0.3673) time: 0.8664 data: 0.0002 max mem: 29859 [10:34:39.135224] Epoch: [268] [800/850] eta: 0:00:43 lr: 0.001902 loss: 0.0195 (0.0188) loss_rec_all: 0.0553 (0.0550) loss_rec_sfr: 0.0837 (0.0781) loss_cl: -0.3664 (-0.3673) time: 0.8687 data: 0.0003 max mem: 29859 [10:34:56.520731] Epoch: [268] [820/850] eta: 0:00:26 lr: 0.001901 loss: 0.0189 (0.0188) loss_rec_all: 0.0546 (0.0550) loss_rec_sfr: 0.0836 (0.0783) loss_cl: -0.3662 (-0.3672) time: 0.8692 data: 0.0004 max mem: 29859 [10:35:13.872074] Epoch: [268] [840/850] eta: 0:00:08 lr: 0.001901 loss: 0.0181 (0.0188) loss_rec_all: 0.0542 (0.0550) loss_rec_sfr: 0.0634 (0.0784) loss_cl: -0.3670 (-0.3672) time: 0.8675 data: 0.0006 max mem: 29859 [10:35:21.655992] Epoch: [268] [849/850] eta: 0:00:00 lr: 0.001901 loss: 0.0181 (0.0188) loss_rec_all: 0.0543 (0.0550) loss_rec_sfr: 0.0798 (0.0784) loss_cl: -0.3674 (-0.3672) time: 0.8668 data: 0.0006 max mem: 29859 [10:35:21.824554] Epoch: [268] Total time: 0:12:21 (0.8729 s / it) [10:35:21.829365] Averaged stats: lr: 0.001901 loss: 0.0181 (0.0188) loss_rec_all: 0.0543 (0.0549) loss_rec_sfr: 0.0798 (0.0785) loss_cl: -0.3674 (-0.3673) [10:35:21.842755] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [10:35:26.757825] Epoch: [269] [ 0/850] eta: 1:09:37 lr: 0.001901 loss: 0.0178 (0.0178) loss_rec_all: 0.0538 (0.0538) loss_rec_sfr: 0.1177 (0.1177) loss_cl: -0.3682 (-0.3682) time: 4.9144 data: 4.0570 max mem: 29859 [10:35:44.110159] Epoch: [269] [ 20/850] eta: 0:14:40 lr: 0.001901 loss: 0.0162 (0.0168) loss_rec_all: 0.0526 (0.0531) loss_rec_sfr: 0.0583 (0.0701) loss_cl: -0.3675 (-0.3676) time: 0.8676 data: 0.0003 max mem: 29859 [10:36:01.434220] Epoch: [269] [ 40/850] eta: 0:13:02 lr: 0.001901 loss: 0.0155 (0.0165) loss_rec_all: 0.0518 (0.0527) loss_rec_sfr: 0.0539 (0.0679) loss_cl: -0.3676 (-0.3676) time: 0.8662 data: 0.0002 max mem: 29859 [10:36:18.710148] Epoch: [269] [ 60/850] eta: 0:12:16 lr: 0.001901 loss: 0.0159 (0.0166) loss_rec_all: 0.0523 (0.0529) loss_rec_sfr: 0.0594 (0.0703) loss_cl: -0.3680 (-0.3677) time: 0.8637 data: 0.0002 max mem: 29859 [10:36:36.120503] Epoch: [269] [ 80/850] eta: 0:11:46 lr: 0.001901 loss: 0.0170 (0.0167) loss_rec_all: 0.0530 (0.0530) loss_rec_sfr: 0.0654 (0.0721) loss_cl: -0.3679 (-0.3678) time: 0.8704 data: 0.0003 max mem: 29859 [10:36:53.443702] Epoch: [269] [100/850] eta: 0:11:20 lr: 0.001901 loss: 0.0160 (0.0167) loss_rec_all: 0.0524 (0.0530) loss_rec_sfr: 0.0568 (0.0718) loss_cl: -0.3678 (-0.3677) time: 0.8661 data: 0.0002 max mem: 29859 [10:37:10.799293] Epoch: [269] [120/850] eta: 0:10:57 lr: 0.001901 loss: 0.0163 (0.0168) loss_rec_all: 0.0527 (0.0530) loss_rec_sfr: 0.0574 (0.0711) loss_cl: -0.3675 (-0.3677) time: 0.8677 data: 0.0002 max mem: 29859 [10:37:28.121305] Epoch: [269] [140/850] eta: 0:10:35 lr: 0.001901 loss: 0.0193 (0.0172) loss_rec_all: 0.0555 (0.0534) loss_rec_sfr: 0.0806 (0.0734) loss_cl: -0.3668 (-0.3676) time: 0.8660 data: 0.0003 max mem: 29859 [10:37:45.480811] Epoch: [269] [160/850] eta: 0:10:15 lr: 0.001901 loss: 0.0173 (0.0172) loss_rec_all: 0.0534 (0.0535) loss_rec_sfr: 0.0570 (0.0727) loss_cl: -0.3671 (-0.3675) time: 0.8679 data: 0.0002 max mem: 29859 [10:38:02.762645] Epoch: [269] [180/850] eta: 0:09:55 lr: 0.001900 loss: 0.0189 (0.0176) loss_rec_all: 0.0552 (0.0538) loss_rec_sfr: 0.0664 (0.0728) loss_cl: -0.3672 (-0.3675) time: 0.8640 data: 0.0002 max mem: 29859 [10:38:20.139629] Epoch: [269] [200/850] eta: 0:09:36 lr: 0.001900 loss: 0.0187 (0.0177) loss_rec_all: 0.0546 (0.0539) loss_rec_sfr: 0.0814 (0.0742) loss_cl: -0.3676 (-0.3675) time: 0.8688 data: 0.0002 max mem: 29859 [10:38:37.531378] Epoch: [269] [220/850] eta: 0:09:17 lr: 0.001900 loss: 0.0170 (0.0177) loss_rec_all: 0.0532 (0.0539) loss_rec_sfr: 0.0592 (0.0740) loss_cl: -0.3675 (-0.3675) time: 0.8695 data: 0.0003 max mem: 29859 [10:38:54.883088] Epoch: [269] [240/850] eta: 0:08:59 lr: 0.001900 loss: 0.0167 (0.0177) loss_rec_all: 0.0531 (0.0539) loss_rec_sfr: 0.0776 (0.0743) loss_cl: -0.3674 (-0.3675) time: 0.8675 data: 0.0002 max mem: 29859 [10:39:12.183399] Epoch: [269] [260/850] eta: 0:08:40 lr: 0.001900 loss: 0.0163 (0.0176) loss_rec_all: 0.0527 (0.0539) loss_rec_sfr: 0.0540 (0.0743) loss_cl: -0.3677 (-0.3675) time: 0.8649 data: 0.0003 max mem: 29859 [10:39:29.660757] Epoch: [269] [280/850] eta: 0:08:22 lr: 0.001900 loss: 0.0174 (0.0176) loss_rec_all: 0.0536 (0.0539) loss_rec_sfr: 0.0798 (0.0746) loss_cl: -0.3680 (-0.3675) time: 0.8737 data: 0.0003 max mem: 29859 [10:39:46.977387] Epoch: [269] [300/850] eta: 0:08:04 lr: 0.001900 loss: 0.0172 (0.0177) loss_rec_all: 0.0531 (0.0539) loss_rec_sfr: 0.0780 (0.0751) loss_cl: -0.3677 (-0.3675) time: 0.8658 data: 0.0002 max mem: 29859 [10:40:04.376412] Epoch: [269] [320/850] eta: 0:07:46 lr: 0.001900 loss: 0.0173 (0.0177) loss_rec_all: 0.0537 (0.0539) loss_rec_sfr: 0.0787 (0.0753) loss_cl: -0.3677 (-0.3675) time: 0.8699 data: 0.0009 max mem: 29859 [10:40:21.759698] Epoch: [269] [340/850] eta: 0:07:28 lr: 0.001900 loss: 0.0178 (0.0177) loss_rec_all: 0.0539 (0.0540) loss_rec_sfr: 0.0892 (0.0763) loss_cl: -0.3668 (-0.3675) time: 0.8691 data: 0.0003 max mem: 29859 [10:40:39.127912] Epoch: [269] [360/850] eta: 0:07:10 lr: 0.001900 loss: 0.0159 (0.0177) loss_rec_all: 0.0523 (0.0539) loss_rec_sfr: 0.0524 (0.0756) loss_cl: -0.3665 (-0.3674) time: 0.8684 data: 0.0002 max mem: 29859 [10:40:56.443398] Epoch: [269] [380/850] eta: 0:06:52 lr: 0.001900 loss: 0.0174 (0.0177) loss_rec_all: 0.0534 (0.0539) loss_rec_sfr: 0.0897 (0.0759) loss_cl: -0.3669 (-0.3674) time: 0.8657 data: 0.0003 max mem: 29859 [10:41:13.857435] Epoch: [269] [400/850] eta: 0:06:34 lr: 0.001899 loss: 0.0167 (0.0177) loss_rec_all: 0.0531 (0.0539) loss_rec_sfr: 0.0601 (0.0756) loss_cl: -0.3677 (-0.3674) time: 0.8706 data: 0.0004 max mem: 29859 [10:41:31.173071] Epoch: [269] [420/850] eta: 0:06:17 lr: 0.001899 loss: 0.0164 (0.0177) loss_rec_all: 0.0527 (0.0539) loss_rec_sfr: 0.0811 (0.0758) loss_cl: -0.3677 (-0.3674) time: 0.8657 data: 0.0002 max mem: 29859 [10:41:48.522007] Epoch: [269] [440/850] eta: 0:05:59 lr: 0.001899 loss: 0.0180 (0.0177) loss_rec_all: 0.0540 (0.0539) loss_rec_sfr: 0.0785 (0.0761) loss_cl: -0.3676 (-0.3674) time: 0.8674 data: 0.0004 max mem: 29859 [10:42:05.864429] Epoch: [269] [460/850] eta: 0:05:41 lr: 0.001899 loss: 0.0173 (0.0177) loss_rec_all: 0.0534 (0.0539) loss_rec_sfr: 0.0590 (0.0761) loss_cl: -0.3676 (-0.3674) time: 0.8671 data: 0.0003 max mem: 29859 [10:42:23.305657] Epoch: [269] [480/850] eta: 0:05:24 lr: 0.001899 loss: 0.0181 (0.0177) loss_rec_all: 0.0544 (0.0539) loss_rec_sfr: 0.0607 (0.0763) loss_cl: -0.3674 (-0.3674) time: 0.8720 data: 0.0003 max mem: 29859 [10:42:40.631532] Epoch: [269] [500/850] eta: 0:05:06 lr: 0.001899 loss: 0.0188 (0.0177) loss_rec_all: 0.0549 (0.0540) loss_rec_sfr: 0.0926 (0.0767) loss_cl: -0.3673 (-0.3674) time: 0.8662 data: 0.0003 max mem: 29859 [10:42:58.010533] Epoch: [269] [520/850] eta: 0:04:48 lr: 0.001899 loss: 0.0188 (0.0178) loss_rec_all: 0.0551 (0.0540) loss_rec_sfr: 0.0683 (0.0766) loss_cl: -0.3675 (-0.3674) time: 0.8689 data: 0.0003 max mem: 29859 [10:43:15.412727] Epoch: [269] [540/850] eta: 0:04:31 lr: 0.001899 loss: 0.0176 (0.0178) loss_rec_all: 0.0535 (0.0540) loss_rec_sfr: 0.0658 (0.0765) loss_cl: -0.3671 (-0.3674) time: 0.8700 data: 0.0003 max mem: 29859 [10:43:32.739134] Epoch: [269] [560/850] eta: 0:04:13 lr: 0.001899 loss: 0.0182 (0.0178) loss_rec_all: 0.0543 (0.0540) loss_rec_sfr: 0.0898 (0.0768) loss_cl: -0.3671 (-0.3674) time: 0.8663 data: 0.0002 max mem: 29859 [10:43:50.054471] Epoch: [269] [580/850] eta: 0:03:56 lr: 0.001899 loss: 0.0170 (0.0178) loss_rec_all: 0.0532 (0.0540) loss_rec_sfr: 0.0529 (0.0766) loss_cl: -0.3674 (-0.3674) time: 0.8657 data: 0.0003 max mem: 29859 [10:44:07.481927] Epoch: [269] [600/850] eta: 0:03:38 lr: 0.001898 loss: 0.0187 (0.0179) loss_rec_all: 0.0549 (0.0541) loss_rec_sfr: 0.0859 (0.0769) loss_cl: -0.3679 (-0.3674) time: 0.8713 data: 0.0004 max mem: 29859 [10:44:24.798623] Epoch: [269] [620/850] eta: 0:03:21 lr: 0.001898 loss: 0.0194 (0.0179) loss_rec_all: 0.0558 (0.0541) loss_rec_sfr: 0.0811 (0.0771) loss_cl: -0.3674 (-0.3674) time: 0.8658 data: 0.0002 max mem: 29859 [10:44:42.167730] Epoch: [269] [640/850] eta: 0:03:03 lr: 0.001898 loss: 0.0194 (0.0180) loss_rec_all: 0.0556 (0.0542) loss_rec_sfr: 0.0622 (0.0770) loss_cl: -0.3675 (-0.3674) time: 0.8684 data: 0.0003 max mem: 29859 [10:44:59.519801] Epoch: [269] [660/850] eta: 0:02:46 lr: 0.001898 loss: 0.0189 (0.0181) loss_rec_all: 0.0549 (0.0543) loss_rec_sfr: 0.0687 (0.0772) loss_cl: -0.3674 (-0.3674) time: 0.8675 data: 0.0002 max mem: 29859 [10:45:16.946624] Epoch: [269] [680/850] eta: 0:02:28 lr: 0.001898 loss: 0.0195 (0.0182) loss_rec_all: 0.0556 (0.0544) loss_rec_sfr: 0.0817 (0.0773) loss_cl: -0.3669 (-0.3674) time: 0.8713 data: 0.0003 max mem: 29859 [10:45:34.268188] Epoch: [269] [700/850] eta: 0:02:11 lr: 0.001898 loss: 0.0186 (0.0182) loss_rec_all: 0.0546 (0.0544) loss_rec_sfr: 0.0656 (0.0773) loss_cl: -0.3668 (-0.3674) time: 0.8660 data: 0.0004 max mem: 29859 [10:45:51.626935] Epoch: [269] [720/850] eta: 0:01:53 lr: 0.001898 loss: 0.0188 (0.0182) loss_rec_all: 0.0548 (0.0544) loss_rec_sfr: 0.0647 (0.0773) loss_cl: -0.3674 (-0.3674) time: 0.8679 data: 0.0002 max mem: 29859 [10:46:09.045287] Epoch: [269] [740/850] eta: 0:01:36 lr: 0.001898 loss: 0.0186 (0.0183) loss_rec_all: 0.0547 (0.0545) loss_rec_sfr: 0.0853 (0.0776) loss_cl: -0.3679 (-0.3674) time: 0.8709 data: 0.0004 max mem: 29859 [10:46:26.368550] Epoch: [269] [760/850] eta: 0:01:18 lr: 0.001898 loss: 0.0180 (0.0183) loss_rec_all: 0.0543 (0.0545) loss_rec_sfr: 0.0787 (0.0777) loss_cl: -0.3677 (-0.3674) time: 0.8661 data: 0.0002 max mem: 29859 [10:46:43.681689] Epoch: [269] [780/850] eta: 0:01:01 lr: 0.001898 loss: 0.0175 (0.0183) loss_rec_all: 0.0537 (0.0545) loss_rec_sfr: 0.0593 (0.0775) loss_cl: -0.3676 (-0.3674) time: 0.8656 data: 0.0002 max mem: 29859 [10:47:01.121900] Epoch: [269] [800/850] eta: 0:00:43 lr: 0.001898 loss: 0.0165 (0.0182) loss_rec_all: 0.0528 (0.0544) loss_rec_sfr: 0.0804 (0.0776) loss_cl: -0.3679 (-0.3674) time: 0.8719 data: 0.0003 max mem: 29859 [10:47:18.416804] Epoch: [269] [820/850] eta: 0:00:26 lr: 0.001897 loss: 0.0170 (0.0182) loss_rec_all: 0.0533 (0.0544) loss_rec_sfr: 0.0561 (0.0775) loss_cl: -0.3681 (-0.3674) time: 0.8647 data: 0.0002 max mem: 29859 [10:47:35.776206] Epoch: [269] [840/850] eta: 0:00:08 lr: 0.001897 loss: 0.0162 (0.0182) loss_rec_all: 0.0525 (0.0544) loss_rec_sfr: 0.0544 (0.0772) loss_cl: -0.3678 (-0.3674) time: 0.8679 data: 0.0008 max mem: 29859 [10:47:43.585359] Epoch: [269] [849/850] eta: 0:00:00 lr: 0.001897 loss: 0.0164 (0.0182) loss_rec_all: 0.0528 (0.0544) loss_rec_sfr: 0.0637 (0.0772) loss_cl: -0.3677 (-0.3674) time: 0.8684 data: 0.0005 max mem: 29859 [10:47:43.725437] Epoch: [269] Total time: 0:12:21 (0.8728 s / it) [10:47:43.738671] Averaged stats: lr: 0.001897 loss: 0.0164 (0.0181) loss_rec_all: 0.0528 (0.0543) loss_rec_sfr: 0.0637 (0.0773) loss_cl: -0.3677 (-0.3673) [10:47:43.754652] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [10:47:49.060954] Epoch: [270] [ 0/850] eta: 1:15:09 lr: 0.001897 loss: 0.0148 (0.0148) loss_rec_all: 0.0512 (0.0512) loss_rec_sfr: 0.0508 (0.0508) loss_cl: -0.3675 (-0.3675) time: 5.3051 data: 4.4484 max mem: 29859 [10:48:06.321832] Epoch: [270] [ 20/850] eta: 0:14:51 lr: 0.001897 loss: 0.0155 (0.0157) loss_rec_all: 0.0518 (0.0520) loss_rec_sfr: 0.0551 (0.0715) loss_cl: -0.3671 (-0.3673) time: 0.8630 data: 0.0003 max mem: 29859 [10:48:23.634641] Epoch: [270] [ 40/850] eta: 0:13:07 lr: 0.001897 loss: 0.0164 (0.0164) loss_rec_all: 0.0527 (0.0526) loss_rec_sfr: 0.0597 (0.0720) loss_cl: -0.3674 (-0.3673) time: 0.8656 data: 0.0002 max mem: 29859 [10:48:40.968641] Epoch: [270] [ 60/850] eta: 0:12:20 lr: 0.001897 loss: 0.0170 (0.0167) loss_rec_all: 0.0533 (0.0529) loss_rec_sfr: 0.0755 (0.0739) loss_cl: -0.3669 (-0.3672) time: 0.8666 data: 0.0003 max mem: 29859 [10:48:58.344181] Epoch: [270] [ 80/850] eta: 0:11:49 lr: 0.001897 loss: 0.0172 (0.0169) loss_rec_all: 0.0533 (0.0531) loss_rec_sfr: 0.0578 (0.0737) loss_cl: -0.3671 (-0.3671) time: 0.8687 data: 0.0003 max mem: 29859 [10:49:15.629121] Epoch: [270] [100/850] eta: 0:11:22 lr: 0.001897 loss: 0.0181 (0.0173) loss_rec_all: 0.0543 (0.0535) loss_rec_sfr: 0.0597 (0.0737) loss_cl: -0.3673 (-0.3671) time: 0.8642 data: 0.0002 max mem: 29859 [10:49:32.969100] Epoch: [270] [120/850] eta: 0:10:58 lr: 0.001897 loss: 0.0167 (0.0174) loss_rec_all: 0.0531 (0.0536) loss_rec_sfr: 0.0536 (0.0723) loss_cl: -0.3675 (-0.3672) time: 0.8669 data: 0.0002 max mem: 29859 [10:49:50.381625] Epoch: [270] [140/850] eta: 0:10:37 lr: 0.001897 loss: 0.0178 (0.0174) loss_rec_all: 0.0540 (0.0536) loss_rec_sfr: 0.0771 (0.0735) loss_cl: -0.3671 (-0.3672) time: 0.8706 data: 0.0004 max mem: 29859 [10:50:07.716486] Epoch: [270] [160/850] eta: 0:10:16 lr: 0.001897 loss: 0.0194 (0.0177) loss_rec_all: 0.0553 (0.0539) loss_rec_sfr: 0.1005 (0.0754) loss_cl: -0.3665 (-0.3671) time: 0.8667 data: 0.0002 max mem: 29859 [10:50:25.014204] Epoch: [270] [180/850] eta: 0:09:56 lr: 0.001896 loss: 0.0181 (0.0178) loss_rec_all: 0.0540 (0.0540) loss_rec_sfr: 0.0707 (0.0756) loss_cl: -0.3670 (-0.3671) time: 0.8648 data: 0.0002 max mem: 29859 [10:50:42.453689] Epoch: [270] [200/850] eta: 0:09:37 lr: 0.001896 loss: 0.0174 (0.0179) loss_rec_all: 0.0534 (0.0540) loss_rec_sfr: 0.0788 (0.0759) loss_cl: -0.3675 (-0.3671) time: 0.8719 data: 0.0004 max mem: 29859 [10:50:59.746751] Epoch: [270] [220/850] eta: 0:09:18 lr: 0.001896 loss: 0.0163 (0.0178) loss_rec_all: 0.0526 (0.0540) loss_rec_sfr: 0.0610 (0.0754) loss_cl: -0.3678 (-0.3672) time: 0.8646 data: 0.0002 max mem: 29859 [10:51:17.052942] Epoch: [270] [240/850] eta: 0:08:59 lr: 0.001896 loss: 0.0171 (0.0178) loss_rec_all: 0.0534 (0.0540) loss_rec_sfr: 0.0607 (0.0755) loss_cl: -0.3677 (-0.3672) time: 0.8653 data: 0.0002 max mem: 29859 [10:51:34.401057] Epoch: [270] [260/850] eta: 0:08:41 lr: 0.001896 loss: 0.0168 (0.0177) loss_rec_all: 0.0530 (0.0539) loss_rec_sfr: 0.0821 (0.0759) loss_cl: -0.3675 (-0.3672) time: 0.8673 data: 0.0003 max mem: 29859 [10:51:51.738022] Epoch: [270] [280/850] eta: 0:08:22 lr: 0.001896 loss: 0.0178 (0.0177) loss_rec_all: 0.0538 (0.0539) loss_rec_sfr: 0.0770 (0.0761) loss_cl: -0.3669 (-0.3672) time: 0.8668 data: 0.0003 max mem: 29859 [10:52:09.012565] Epoch: [270] [300/850] eta: 0:08:04 lr: 0.001896 loss: 0.0167 (0.0178) loss_rec_all: 0.0529 (0.0539) loss_rec_sfr: 0.0572 (0.0762) loss_cl: -0.3670 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [10:52:26.368021] Epoch: [270] [320/850] eta: 0:07:46 lr: 0.001896 loss: 0.0176 (0.0178) loss_rec_all: 0.0537 (0.0540) loss_rec_sfr: 0.0637 (0.0763) loss_cl: -0.3668 (-0.3672) time: 0.8677 data: 0.0003 max mem: 29859 [10:52:43.659750] Epoch: [270] [340/850] eta: 0:07:28 lr: 0.001896 loss: 0.0165 (0.0178) loss_rec_all: 0.0527 (0.0540) loss_rec_sfr: 0.0571 (0.0760) loss_cl: -0.3668 (-0.3671) time: 0.8645 data: 0.0002 max mem: 29859 [10:53:00.963954] Epoch: [270] [360/850] eta: 0:07:10 lr: 0.001896 loss: 0.0170 (0.0178) loss_rec_all: 0.0531 (0.0540) loss_rec_sfr: 0.0547 (0.0755) loss_cl: -0.3673 (-0.3671) time: 0.8652 data: 0.0002 max mem: 29859 [10:53:18.250117] Epoch: [270] [380/850] eta: 0:06:52 lr: 0.001896 loss: 0.0166 (0.0178) loss_rec_all: 0.0530 (0.0540) loss_rec_sfr: 0.0538 (0.0746) loss_cl: -0.3676 (-0.3672) time: 0.8642 data: 0.0002 max mem: 29859 [10:53:35.659911] Epoch: [270] [400/850] eta: 0:06:34 lr: 0.001895 loss: 0.0168 (0.0178) loss_rec_all: 0.0530 (0.0539) loss_rec_sfr: 0.0554 (0.0741) loss_cl: -0.3672 (-0.3672) time: 0.8704 data: 0.0003 max mem: 29859 [10:53:52.939325] Epoch: [270] [420/850] eta: 0:06:17 lr: 0.001895 loss: 0.0173 (0.0178) loss_rec_all: 0.0537 (0.0540) loss_rec_sfr: 0.0598 (0.0738) loss_cl: -0.3673 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [10:54:10.304441] Epoch: [270] [440/850] eta: 0:05:59 lr: 0.001895 loss: 0.0163 (0.0177) loss_rec_all: 0.0525 (0.0539) loss_rec_sfr: 0.0588 (0.0739) loss_cl: -0.3676 (-0.3672) time: 0.8682 data: 0.0002 max mem: 29859 [10:54:27.668609] Epoch: [270] [460/850] eta: 0:05:41 lr: 0.001895 loss: 0.0176 (0.0177) loss_rec_all: 0.0538 (0.0539) loss_rec_sfr: 0.0791 (0.0742) loss_cl: -0.3680 (-0.3672) time: 0.8682 data: 0.0003 max mem: 29859 [10:54:44.977552] Epoch: [270] [480/850] eta: 0:05:23 lr: 0.001895 loss: 0.0180 (0.0178) loss_rec_all: 0.0541 (0.0540) loss_rec_sfr: 0.0784 (0.0744) loss_cl: -0.3681 (-0.3673) time: 0.8654 data: 0.0002 max mem: 29859 [10:55:02.263885] Epoch: [270] [500/850] eta: 0:05:06 lr: 0.001895 loss: 0.0179 (0.0178) loss_rec_all: 0.0543 (0.0540) loss_rec_sfr: 0.0767 (0.0746) loss_cl: -0.3680 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [10:55:19.651341] Epoch: [270] [520/850] eta: 0:04:48 lr: 0.001895 loss: 0.0174 (0.0178) loss_rec_all: 0.0537 (0.0540) loss_rec_sfr: 0.0797 (0.0747) loss_cl: -0.3676 (-0.3673) time: 0.8693 data: 0.0003 max mem: 29859 [10:55:36.931105] Epoch: [270] [540/850] eta: 0:04:31 lr: 0.001895 loss: 0.0176 (0.0178) loss_rec_all: 0.0539 (0.0540) loss_rec_sfr: 0.0790 (0.0748) loss_cl: -0.3672 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [10:55:54.253414] Epoch: [270] [560/850] eta: 0:04:13 lr: 0.001895 loss: 0.0168 (0.0178) loss_rec_all: 0.0530 (0.0540) loss_rec_sfr: 0.0548 (0.0746) loss_cl: -0.3669 (-0.3673) time: 0.8661 data: 0.0002 max mem: 29859 [10:56:11.582014] Epoch: [270] [580/850] eta: 0:03:55 lr: 0.001895 loss: 0.0169 (0.0178) loss_rec_all: 0.0533 (0.0540) loss_rec_sfr: 0.0602 (0.0746) loss_cl: -0.3668 (-0.3673) time: 0.8664 data: 0.0002 max mem: 29859 [10:56:28.908520] Epoch: [270] [600/850] eta: 0:03:38 lr: 0.001894 loss: 0.0167 (0.0178) loss_rec_all: 0.0530 (0.0540) loss_rec_sfr: 0.0588 (0.0745) loss_cl: -0.3666 (-0.3672) time: 0.8663 data: 0.0002 max mem: 29859 [10:56:46.182750] Epoch: [270] [620/850] eta: 0:03:20 lr: 0.001894 loss: 0.0172 (0.0178) loss_rec_all: 0.0531 (0.0540) loss_rec_sfr: 0.0795 (0.0747) loss_cl: -0.3664 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [10:57:03.624646] Epoch: [270] [640/850] eta: 0:03:03 lr: 0.001894 loss: 0.0168 (0.0178) loss_rec_all: 0.0531 (0.0540) loss_rec_sfr: 0.0591 (0.0746) loss_cl: -0.3672 (-0.3672) time: 0.8720 data: 0.0003 max mem: 29859 [10:57:20.921235] Epoch: [270] [660/850] eta: 0:02:45 lr: 0.001894 loss: 0.0178 (0.0178) loss_rec_all: 0.0539 (0.0540) loss_rec_sfr: 0.0731 (0.0746) loss_cl: -0.3683 (-0.3672) time: 0.8648 data: 0.0002 max mem: 29859 [10:57:38.233764] Epoch: [270] [680/850] eta: 0:02:28 lr: 0.001894 loss: 0.0195 (0.0179) loss_rec_all: 0.0557 (0.0541) loss_rec_sfr: 0.0803 (0.0748) loss_cl: -0.3684 (-0.3673) time: 0.8656 data: 0.0002 max mem: 29859 [10:57:55.604847] Epoch: [270] [700/850] eta: 0:02:10 lr: 0.001894 loss: 0.0183 (0.0179) loss_rec_all: 0.0547 (0.0541) loss_rec_sfr: 0.0645 (0.0748) loss_cl: -0.3680 (-0.3673) time: 0.8685 data: 0.0004 max mem: 29859 [10:58:12.930989] Epoch: [270] [720/850] eta: 0:01:53 lr: 0.001894 loss: 0.0178 (0.0179) loss_rec_all: 0.0540 (0.0541) loss_rec_sfr: 0.0805 (0.0750) loss_cl: -0.3680 (-0.3673) time: 0.8663 data: 0.0002 max mem: 29859 [10:58:30.213154] Epoch: [270] [740/850] eta: 0:01:35 lr: 0.001894 loss: 0.0201 (0.0180) loss_rec_all: 0.0560 (0.0542) loss_rec_sfr: 0.0829 (0.0753) loss_cl: -0.3676 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [10:58:47.615878] Epoch: [270] [760/850] eta: 0:01:18 lr: 0.001894 loss: 0.0173 (0.0180) loss_rec_all: 0.0536 (0.0542) loss_rec_sfr: 0.0577 (0.0751) loss_cl: -0.3674 (-0.3673) time: 0.8701 data: 0.0003 max mem: 29859 [10:59:04.916994] Epoch: [270] [780/850] eta: 0:01:01 lr: 0.001894 loss: 0.0172 (0.0180) loss_rec_all: 0.0534 (0.0542) loss_rec_sfr: 0.0652 (0.0752) loss_cl: -0.3672 (-0.3673) time: 0.8650 data: 0.0002 max mem: 29859 [10:59:22.241117] Epoch: [270] [800/850] eta: 0:00:43 lr: 0.001893 loss: 0.0185 (0.0180) loss_rec_all: 0.0549 (0.0542) loss_rec_sfr: 0.0641 (0.0750) loss_cl: -0.3671 (-0.3673) time: 0.8662 data: 0.0002 max mem: 29859 [10:59:39.590612] Epoch: [270] [820/850] eta: 0:00:26 lr: 0.001893 loss: 0.0174 (0.0180) loss_rec_all: 0.0535 (0.0542) loss_rec_sfr: 0.0609 (0.0751) loss_cl: -0.3669 (-0.3673) time: 0.8674 data: 0.0003 max mem: 29859 [10:59:56.929772] Epoch: [270] [840/850] eta: 0:00:08 lr: 0.001893 loss: 0.0182 (0.0180) loss_rec_all: 0.0544 (0.0542) loss_rec_sfr: 0.0782 (0.0753) loss_cl: -0.3670 (-0.3673) time: 0.8669 data: 0.0005 max mem: 29859 [11:00:04.702470] Epoch: [270] [849/850] eta: 0:00:00 lr: 0.001893 loss: 0.0193 (0.0180) loss_rec_all: 0.0553 (0.0542) loss_rec_sfr: 0.0780 (0.0753) loss_cl: -0.3669 (-0.3673) time: 0.8657 data: 0.0004 max mem: 29859 [11:00:04.888757] Epoch: [270] Total time: 0:12:21 (0.8719 s / it) [11:00:04.891543] Averaged stats: lr: 0.001893 loss: 0.0193 (0.0181) loss_rec_all: 0.0553 (0.0543) loss_rec_sfr: 0.0780 (0.0766) loss_cl: -0.3669 (-0.3673) [11:00:04.904939] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [11:00:09.272501] Epoch: [271] [ 0/850] eta: 1:01:51 lr: 0.001893 loss: 0.0226 (0.0226) loss_rec_all: 0.0588 (0.0588) loss_rec_sfr: 0.0767 (0.0767) loss_cl: -0.3669 (-0.3669) time: 4.3668 data: 3.0304 max mem: 29859 [11:00:26.504246] Epoch: [271] [ 20/850] eta: 0:14:13 lr: 0.001893 loss: 0.0190 (0.0190) loss_rec_all: 0.0551 (0.0552) loss_rec_sfr: 0.0753 (0.0761) loss_cl: -0.3675 (-0.3674) time: 0.8615 data: 0.0002 max mem: 29859 [11:00:43.856533] Epoch: [271] [ 40/850] eta: 0:12:49 lr: 0.001893 loss: 0.0187 (0.0192) loss_rec_all: 0.0549 (0.0554) loss_rec_sfr: 0.0846 (0.0839) loss_cl: -0.3679 (-0.3675) time: 0.8676 data: 0.0002 max mem: 29859 [11:01:01.091167] Epoch: [271] [ 60/850] eta: 0:12:07 lr: 0.001893 loss: 0.0177 (0.0191) loss_rec_all: 0.0541 (0.0552) loss_rec_sfr: 0.0812 (0.0841) loss_cl: -0.3673 (-0.3675) time: 0.8617 data: 0.0002 max mem: 29859 [11:01:18.390363] Epoch: [271] [ 80/850] eta: 0:11:38 lr: 0.001893 loss: 0.0162 (0.0185) loss_rec_all: 0.0525 (0.0547) loss_rec_sfr: 0.0583 (0.0810) loss_cl: -0.3674 (-0.3674) time: 0.8649 data: 0.0002 max mem: 29859 [11:01:35.721237] Epoch: [271] [100/850] eta: 0:11:14 lr: 0.001893 loss: 0.0172 (0.0183) loss_rec_all: 0.0532 (0.0545) loss_rec_sfr: 0.0757 (0.0805) loss_cl: -0.3672 (-0.3674) time: 0.8665 data: 0.0003 max mem: 29859 [11:01:53.014154] Epoch: [271] [120/850] eta: 0:10:52 lr: 0.001893 loss: 0.0176 (0.0183) loss_rec_all: 0.0539 (0.0544) loss_rec_sfr: 0.0900 (0.0816) loss_cl: -0.3672 (-0.3673) time: 0.8646 data: 0.0001 max mem: 29859 [11:02:10.284380] Epoch: [271] [140/850] eta: 0:10:31 lr: 0.001893 loss: 0.0168 (0.0182) loss_rec_all: 0.0533 (0.0544) loss_rec_sfr: 0.0596 (0.0803) loss_cl: -0.3676 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [11:02:27.653284] Epoch: [271] [160/850] eta: 0:10:11 lr: 0.001892 loss: 0.0155 (0.0180) loss_rec_all: 0.0519 (0.0542) loss_rec_sfr: 0.0554 (0.0782) loss_cl: -0.3678 (-0.3674) time: 0.8684 data: 0.0003 max mem: 29859 [11:02:44.943182] Epoch: [271] [180/850] eta: 0:09:52 lr: 0.001892 loss: 0.0167 (0.0179) loss_rec_all: 0.0528 (0.0541) loss_rec_sfr: 0.0780 (0.0780) loss_cl: -0.3673 (-0.3674) time: 0.8644 data: 0.0002 max mem: 29859 [11:03:02.291082] Epoch: [271] [200/850] eta: 0:09:33 lr: 0.001892 loss: 0.0171 (0.0179) loss_rec_all: 0.0534 (0.0541) loss_rec_sfr: 0.0562 (0.0773) loss_cl: -0.3671 (-0.3674) time: 0.8673 data: 0.0002 max mem: 29859 [11:03:19.620065] Epoch: [271] [220/850] eta: 0:09:15 lr: 0.001892 loss: 0.0172 (0.0179) loss_rec_all: 0.0535 (0.0541) loss_rec_sfr: 0.0598 (0.0775) loss_cl: -0.3671 (-0.3674) time: 0.8664 data: 0.0004 max mem: 29859 [11:03:36.947159] Epoch: [271] [240/850] eta: 0:08:56 lr: 0.001892 loss: 0.0183 (0.0180) loss_rec_all: 0.0542 (0.0542) loss_rec_sfr: 0.0588 (0.0776) loss_cl: -0.3670 (-0.3673) time: 0.8663 data: 0.0002 max mem: 29859 [11:03:54.231748] Epoch: [271] [260/850] eta: 0:08:38 lr: 0.001892 loss: 0.0168 (0.0179) loss_rec_all: 0.0529 (0.0541) loss_rec_sfr: 0.0562 (0.0770) loss_cl: -0.3670 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [11:04:11.661925] Epoch: [271] [280/850] eta: 0:08:20 lr: 0.001892 loss: 0.0179 (0.0180) loss_rec_all: 0.0539 (0.0542) loss_rec_sfr: 0.0786 (0.0772) loss_cl: -0.3669 (-0.3673) time: 0.8714 data: 0.0003 max mem: 29859 [11:04:28.972663] Epoch: [271] [300/850] eta: 0:08:02 lr: 0.001892 loss: 0.0164 (0.0179) loss_rec_all: 0.0527 (0.0541) loss_rec_sfr: 0.0621 (0.0771) loss_cl: -0.3674 (-0.3673) time: 0.8655 data: 0.0002 max mem: 29859 [11:04:46.298809] Epoch: [271] [320/850] eta: 0:07:44 lr: 0.001892 loss: 0.0176 (0.0179) loss_rec_all: 0.0539 (0.0541) loss_rec_sfr: 0.0742 (0.0774) loss_cl: -0.3675 (-0.3673) time: 0.8663 data: 0.0002 max mem: 29859 [11:05:03.707218] Epoch: [271] [340/850] eta: 0:07:26 lr: 0.001892 loss: 0.0171 (0.0180) loss_rec_all: 0.0534 (0.0542) loss_rec_sfr: 0.0638 (0.0771) loss_cl: -0.3674 (-0.3673) time: 0.8703 data: 0.0003 max mem: 29859 [11:05:21.085110] Epoch: [271] [360/850] eta: 0:07:09 lr: 0.001892 loss: 0.0179 (0.0180) loss_rec_all: 0.0538 (0.0542) loss_rec_sfr: 0.0785 (0.0773) loss_cl: -0.3675 (-0.3673) time: 0.8688 data: 0.0002 max mem: 29859 [11:05:38.394015] Epoch: [271] [380/850] eta: 0:06:51 lr: 0.001891 loss: 0.0163 (0.0179) loss_rec_all: 0.0526 (0.0541) loss_rec_sfr: 0.0565 (0.0771) loss_cl: -0.3672 (-0.3673) time: 0.8654 data: 0.0002 max mem: 29859 [11:05:55.795296] Epoch: [271] [400/850] eta: 0:06:33 lr: 0.001891 loss: 0.0170 (0.0179) loss_rec_all: 0.0531 (0.0541) loss_rec_sfr: 0.0569 (0.0768) loss_cl: -0.3675 (-0.3673) time: 0.8700 data: 0.0003 max mem: 29859 [11:06:13.120290] Epoch: [271] [420/850] eta: 0:06:16 lr: 0.001891 loss: 0.0179 (0.0180) loss_rec_all: 0.0542 (0.0541) loss_rec_sfr: 0.0786 (0.0770) loss_cl: -0.3676 (-0.3673) time: 0.8662 data: 0.0003 max mem: 29859 [11:06:30.437503] Epoch: [271] [440/850] eta: 0:05:58 lr: 0.001891 loss: 0.0197 (0.0180) loss_rec_all: 0.0558 (0.0542) loss_rec_sfr: 0.0819 (0.0771) loss_cl: -0.3678 (-0.3673) time: 0.8658 data: 0.0002 max mem: 29859 [11:06:47.724542] Epoch: [271] [460/850] eta: 0:05:40 lr: 0.001891 loss: 0.0179 (0.0181) loss_rec_all: 0.0543 (0.0543) loss_rec_sfr: 0.0596 (0.0770) loss_cl: -0.3677 (-0.3674) time: 0.8643 data: 0.0003 max mem: 29859 [11:07:05.104070] Epoch: [271] [480/850] eta: 0:05:23 lr: 0.001891 loss: 0.0171 (0.0181) loss_rec_all: 0.0533 (0.0543) loss_rec_sfr: 0.0598 (0.0768) loss_cl: -0.3670 (-0.3673) time: 0.8689 data: 0.0002 max mem: 29859 [11:07:22.377054] Epoch: [271] [500/850] eta: 0:05:05 lr: 0.001891 loss: 0.0181 (0.0181) loss_rec_all: 0.0542 (0.0543) loss_rec_sfr: 0.0738 (0.0769) loss_cl: -0.3672 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [11:07:39.708418] Epoch: [271] [520/850] eta: 0:04:48 lr: 0.001891 loss: 0.0182 (0.0181) loss_rec_all: 0.0545 (0.0543) loss_rec_sfr: 0.0633 (0.0770) loss_cl: -0.3673 (-0.3673) time: 0.8665 data: 0.0002 max mem: 29859 [11:07:57.069702] Epoch: [271] [540/850] eta: 0:04:30 lr: 0.001891 loss: 0.0192 (0.0182) loss_rec_all: 0.0551 (0.0544) loss_rec_sfr: 0.0822 (0.0775) loss_cl: -0.3674 (-0.3673) time: 0.8680 data: 0.0003 max mem: 29859 [11:08:14.388842] Epoch: [271] [560/850] eta: 0:04:13 lr: 0.001891 loss: 0.0183 (0.0182) loss_rec_all: 0.0544 (0.0544) loss_rec_sfr: 0.0802 (0.0777) loss_cl: -0.3673 (-0.3673) time: 0.8659 data: 0.0002 max mem: 29859 [11:08:31.677382] Epoch: [271] [580/850] eta: 0:03:55 lr: 0.001891 loss: 0.0170 (0.0182) loss_rec_all: 0.0534 (0.0543) loss_rec_sfr: 0.0584 (0.0778) loss_cl: -0.3667 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [11:08:49.162053] Epoch: [271] [600/850] eta: 0:03:38 lr: 0.001890 loss: 0.0176 (0.0181) loss_rec_all: 0.0536 (0.0543) loss_rec_sfr: 0.0621 (0.0776) loss_cl: -0.3664 (-0.3673) time: 0.8742 data: 0.0004 max mem: 29859 [11:09:06.440365] Epoch: [271] [620/850] eta: 0:03:20 lr: 0.001890 loss: 0.0169 (0.0181) loss_rec_all: 0.0530 (0.0543) loss_rec_sfr: 0.0571 (0.0773) loss_cl: -0.3670 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [11:09:23.751784] Epoch: [271] [640/850] eta: 0:03:03 lr: 0.001890 loss: 0.0159 (0.0181) loss_rec_all: 0.0522 (0.0543) loss_rec_sfr: 0.0537 (0.0770) loss_cl: -0.3673 (-0.3673) time: 0.8655 data: 0.0002 max mem: 29859 [11:09:41.106889] Epoch: [271] [660/850] eta: 0:02:45 lr: 0.001890 loss: 0.0173 (0.0181) loss_rec_all: 0.0538 (0.0543) loss_rec_sfr: 0.0608 (0.0769) loss_cl: -0.3676 (-0.3673) time: 0.8676 data: 0.0003 max mem: 29859 [11:09:58.450261] Epoch: [271] [680/850] eta: 0:02:28 lr: 0.001890 loss: 0.0182 (0.0181) loss_rec_all: 0.0546 (0.0543) loss_rec_sfr: 0.0764 (0.0771) loss_cl: -0.3675 (-0.3673) time: 0.8671 data: 0.0002 max mem: 29859 [11:10:15.747843] Epoch: [271] [700/850] eta: 0:02:10 lr: 0.001890 loss: 0.0175 (0.0181) loss_rec_all: 0.0539 (0.0543) loss_rec_sfr: 0.0567 (0.0769) loss_cl: -0.3678 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [11:10:33.139604] Epoch: [271] [720/850] eta: 0:01:53 lr: 0.001890 loss: 0.0178 (0.0181) loss_rec_all: 0.0538 (0.0543) loss_rec_sfr: 0.0822 (0.0771) loss_cl: -0.3675 (-0.3673) time: 0.8695 data: 0.0003 max mem: 29859 [11:10:50.458068] Epoch: [271] [740/850] eta: 0:01:35 lr: 0.001890 loss: 0.0172 (0.0181) loss_rec_all: 0.0534 (0.0543) loss_rec_sfr: 0.0807 (0.0771) loss_cl: -0.3673 (-0.3673) time: 0.8659 data: 0.0002 max mem: 29859 [11:11:07.792961] Epoch: [271] [760/850] eta: 0:01:18 lr: 0.001890 loss: 0.0168 (0.0181) loss_rec_all: 0.0530 (0.0543) loss_rec_sfr: 0.0621 (0.0771) loss_cl: -0.3667 (-0.3673) time: 0.8667 data: 0.0002 max mem: 29859 [11:11:25.110641] Epoch: [271] [780/850] eta: 0:01:00 lr: 0.001890 loss: 0.0173 (0.0181) loss_rec_all: 0.0535 (0.0543) loss_rec_sfr: 0.0739 (0.0771) loss_cl: -0.3674 (-0.3673) time: 0.8658 data: 0.0002 max mem: 29859 [11:11:42.538359] Epoch: [271] [800/850] eta: 0:00:43 lr: 0.001889 loss: 0.0170 (0.0181) loss_rec_all: 0.0532 (0.0543) loss_rec_sfr: 0.0601 (0.0771) loss_cl: -0.3676 (-0.3673) time: 0.8713 data: 0.0003 max mem: 29859 [11:11:59.809956] Epoch: [271] [820/850] eta: 0:00:26 lr: 0.001889 loss: 0.0186 (0.0181) loss_rec_all: 0.0547 (0.0543) loss_rec_sfr: 0.0835 (0.0773) loss_cl: -0.3677 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [11:12:17.158035] Epoch: [271] [840/850] eta: 0:00:08 lr: 0.001889 loss: 0.0175 (0.0181) loss_rec_all: 0.0538 (0.0543) loss_rec_sfr: 0.0623 (0.0773) loss_cl: -0.3677 (-0.3673) time: 0.8673 data: 0.0012 max mem: 29859 [11:12:25.002401] Epoch: [271] [849/850] eta: 0:00:00 lr: 0.001889 loss: 0.0170 (0.0181) loss_rec_all: 0.0533 (0.0543) loss_rec_sfr: 0.0795 (0.0774) loss_cl: -0.3675 (-0.3673) time: 0.8706 data: 0.0012 max mem: 29859 [11:12:25.153006] Epoch: [271] Total time: 0:12:20 (0.8709 s / it) [11:12:25.160441] Averaged stats: lr: 0.001889 loss: 0.0170 (0.0180) loss_rec_all: 0.0533 (0.0542) loss_rec_sfr: 0.0795 (0.0769) loss_cl: -0.3675 (-0.3673) [11:12:25.180951] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [11:12:30.095555] Epoch: [272] [ 0/850] eta: 1:09:36 lr: 0.001889 loss: 0.0151 (0.0151) loss_rec_all: 0.0515 (0.0515) loss_rec_sfr: 0.0485 (0.0485) loss_cl: -0.3672 (-0.3672) time: 4.9138 data: 4.0580 max mem: 29859 [11:12:47.324547] Epoch: [272] [ 20/850] eta: 0:14:35 lr: 0.001889 loss: 0.0171 (0.0171) loss_rec_all: 0.0531 (0.0533) loss_rec_sfr: 0.0758 (0.0773) loss_cl: -0.3673 (-0.3671) time: 0.8614 data: 0.0002 max mem: 29859 [11:13:04.647226] Epoch: [272] [ 40/850] eta: 0:12:59 lr: 0.001889 loss: 0.0199 (0.0183) loss_rec_all: 0.0556 (0.0544) loss_rec_sfr: 0.0804 (0.0826) loss_cl: -0.3667 (-0.3668) time: 0.8660 data: 0.0002 max mem: 29859 [11:13:21.991117] Epoch: [272] [ 60/850] eta: 0:12:15 lr: 0.001889 loss: 0.0189 (0.0189) loss_rec_all: 0.0551 (0.0550) loss_rec_sfr: 0.0876 (0.0882) loss_cl: -0.3670 (-0.3669) time: 0.8671 data: 0.0003 max mem: 29859 [11:13:39.307584] Epoch: [272] [ 80/850] eta: 0:11:44 lr: 0.001889 loss: 0.0212 (0.0196) loss_rec_all: 0.0574 (0.0556) loss_rec_sfr: 0.0849 (0.0913) loss_cl: -0.3673 (-0.3670) time: 0.8658 data: 0.0002 max mem: 29859 [11:13:56.585942] Epoch: [272] [100/850] eta: 0:11:18 lr: 0.001889 loss: 0.0221 (0.0202) loss_rec_all: 0.0583 (0.0563) loss_rec_sfr: 0.0814 (0.0923) loss_cl: -0.3680 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [11:14:13.964638] Epoch: [272] [120/850] eta: 0:10:56 lr: 0.001889 loss: 0.0208 (0.0205) loss_rec_all: 0.0569 (0.0566) loss_rec_sfr: 0.0840 (0.0917) loss_cl: -0.3682 (-0.3673) time: 0.8689 data: 0.0003 max mem: 29859 [11:14:31.264446] Epoch: [272] [140/850] eta: 0:10:34 lr: 0.001889 loss: 0.0194 (0.0204) loss_rec_all: 0.0558 (0.0565) loss_rec_sfr: 0.0800 (0.0903) loss_cl: -0.3682 (-0.3675) time: 0.8649 data: 0.0002 max mem: 29859 [11:14:48.585933] Epoch: [272] [160/850] eta: 0:10:14 lr: 0.001888 loss: 0.0188 (0.0203) loss_rec_all: 0.0550 (0.0564) loss_rec_sfr: 0.0801 (0.0895) loss_cl: -0.3682 (-0.3676) time: 0.8660 data: 0.0002 max mem: 29859 [11:15:05.933226] Epoch: [272] [180/850] eta: 0:09:55 lr: 0.001888 loss: 0.0168 (0.0201) loss_rec_all: 0.0531 (0.0562) loss_rec_sfr: 0.0597 (0.0879) loss_cl: -0.3675 (-0.3676) time: 0.8673 data: 0.0003 max mem: 29859 [11:15:23.310887] Epoch: [272] [200/850] eta: 0:09:35 lr: 0.001888 loss: 0.0178 (0.0199) loss_rec_all: 0.0541 (0.0561) loss_rec_sfr: 0.0609 (0.0868) loss_cl: -0.3667 (-0.3675) time: 0.8688 data: 0.0003 max mem: 29859 [11:15:40.576344] Epoch: [272] [220/850] eta: 0:09:16 lr: 0.001888 loss: 0.0168 (0.0197) loss_rec_all: 0.0530 (0.0559) loss_rec_sfr: 0.0824 (0.0861) loss_cl: -0.3666 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [11:15:57.934123] Epoch: [272] [240/850] eta: 0:08:58 lr: 0.001888 loss: 0.0163 (0.0195) loss_rec_all: 0.0527 (0.0557) loss_rec_sfr: 0.0565 (0.0846) loss_cl: -0.3673 (-0.3674) time: 0.8678 data: 0.0002 max mem: 29859 [11:16:15.308449] Epoch: [272] [260/850] eta: 0:08:40 lr: 0.001888 loss: 0.0168 (0.0194) loss_rec_all: 0.0532 (0.0555) loss_rec_sfr: 0.0594 (0.0841) loss_cl: -0.3676 (-0.3674) time: 0.8687 data: 0.0003 max mem: 29859 [11:16:32.624165] Epoch: [272] [280/850] eta: 0:08:21 lr: 0.001888 loss: 0.0165 (0.0192) loss_rec_all: 0.0529 (0.0554) loss_rec_sfr: 0.0604 (0.0836) loss_cl: -0.3682 (-0.3674) time: 0.8657 data: 0.0002 max mem: 29859 [11:16:49.947911] Epoch: [272] [300/850] eta: 0:08:03 lr: 0.001888 loss: 0.0165 (0.0190) loss_rec_all: 0.0529 (0.0552) loss_rec_sfr: 0.0581 (0.0830) loss_cl: -0.3674 (-0.3674) time: 0.8661 data: 0.0003 max mem: 29859 [11:17:07.354970] Epoch: [272] [320/850] eta: 0:07:45 lr: 0.001888 loss: 0.0176 (0.0190) loss_rec_all: 0.0536 (0.0551) loss_rec_sfr: 0.0782 (0.0829) loss_cl: -0.3671 (-0.3674) time: 0.8703 data: 0.0003 max mem: 29859 [11:17:24.654245] Epoch: [272] [340/850] eta: 0:07:27 lr: 0.001888 loss: 0.0162 (0.0189) loss_rec_all: 0.0524 (0.0550) loss_rec_sfr: 0.0606 (0.0821) loss_cl: -0.3665 (-0.3674) time: 0.8649 data: 0.0002 max mem: 29859 [11:17:42.004788] Epoch: [272] [360/850] eta: 0:07:10 lr: 0.001887 loss: 0.0162 (0.0187) loss_rec_all: 0.0523 (0.0549) loss_rec_sfr: 0.0570 (0.0814) loss_cl: -0.3665 (-0.3673) time: 0.8675 data: 0.0003 max mem: 29859 [11:17:59.358555] Epoch: [272] [380/850] eta: 0:06:52 lr: 0.001887 loss: 0.0174 (0.0187) loss_rec_all: 0.0538 (0.0548) loss_rec_sfr: 0.0741 (0.0811) loss_cl: -0.3673 (-0.3673) time: 0.8676 data: 0.0004 max mem: 29859 [11:18:16.688790] Epoch: [272] [400/850] eta: 0:06:34 lr: 0.001887 loss: 0.0161 (0.0185) loss_rec_all: 0.0525 (0.0547) loss_rec_sfr: 0.0531 (0.0804) loss_cl: -0.3679 (-0.3673) time: 0.8665 data: 0.0002 max mem: 29859 [11:18:33.969286] Epoch: [272] [420/850] eta: 0:06:16 lr: 0.001887 loss: 0.0156 (0.0185) loss_rec_all: 0.0520 (0.0546) loss_rec_sfr: 0.0600 (0.0801) loss_cl: -0.3675 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [11:18:51.368427] Epoch: [272] [440/850] eta: 0:05:59 lr: 0.001887 loss: 0.0153 (0.0184) loss_rec_all: 0.0517 (0.0546) loss_rec_sfr: 0.0592 (0.0796) loss_cl: -0.3670 (-0.3673) time: 0.8699 data: 0.0003 max mem: 29859 [11:19:08.670373] Epoch: [272] [460/850] eta: 0:05:41 lr: 0.001887 loss: 0.0177 (0.0184) loss_rec_all: 0.0540 (0.0545) loss_rec_sfr: 0.0562 (0.0791) loss_cl: -0.3672 (-0.3673) time: 0.8650 data: 0.0002 max mem: 29859 [11:19:25.981839] Epoch: [272] [480/850] eta: 0:05:23 lr: 0.001887 loss: 0.0183 (0.0184) loss_rec_all: 0.0543 (0.0545) loss_rec_sfr: 0.0759 (0.0791) loss_cl: -0.3670 (-0.3673) time: 0.8655 data: 0.0002 max mem: 29859 [11:19:43.363368] Epoch: [272] [500/850] eta: 0:05:06 lr: 0.001887 loss: 0.0163 (0.0183) loss_rec_all: 0.0527 (0.0545) loss_rec_sfr: 0.0637 (0.0788) loss_cl: -0.3674 (-0.3673) time: 0.8690 data: 0.0003 max mem: 29859 [11:20:00.676140] Epoch: [272] [520/850] eta: 0:04:48 lr: 0.001887 loss: 0.0161 (0.0183) loss_rec_all: 0.0526 (0.0544) loss_rec_sfr: 0.0557 (0.0784) loss_cl: -0.3680 (-0.3673) time: 0.8656 data: 0.0002 max mem: 29859 [11:20:17.936727] Epoch: [272] [540/850] eta: 0:04:30 lr: 0.001887 loss: 0.0170 (0.0182) loss_rec_all: 0.0532 (0.0544) loss_rec_sfr: 0.0670 (0.0785) loss_cl: -0.3675 (-0.3674) time: 0.8630 data: 0.0001 max mem: 29859 [11:20:35.271636] Epoch: [272] [560/850] eta: 0:04:13 lr: 0.001887 loss: 0.0161 (0.0182) loss_rec_all: 0.0524 (0.0544) loss_rec_sfr: 0.0524 (0.0782) loss_cl: -0.3673 (-0.3673) time: 0.8667 data: 0.0002 max mem: 29859 [11:20:52.529172] Epoch: [272] [580/850] eta: 0:03:55 lr: 0.001886 loss: 0.0190 (0.0183) loss_rec_all: 0.0552 (0.0545) loss_rec_sfr: 0.0774 (0.0782) loss_cl: -0.3672 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [11:21:09.791377] Epoch: [272] [600/850] eta: 0:03:38 lr: 0.001886 loss: 0.0205 (0.0184) loss_rec_all: 0.0568 (0.0546) loss_rec_sfr: 0.0609 (0.0782) loss_cl: -0.3678 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [11:21:27.111102] Epoch: [272] [620/850] eta: 0:03:20 lr: 0.001886 loss: 0.0178 (0.0184) loss_rec_all: 0.0541 (0.0546) loss_rec_sfr: 0.0922 (0.0785) loss_cl: -0.3679 (-0.3674) time: 0.8659 data: 0.0002 max mem: 29859 [11:21:44.451065] Epoch: [272] [640/850] eta: 0:03:03 lr: 0.001886 loss: 0.0174 (0.0184) loss_rec_all: 0.0537 (0.0546) loss_rec_sfr: 0.0593 (0.0784) loss_cl: -0.3676 (-0.3674) time: 0.8669 data: 0.0002 max mem: 29859 [11:22:01.727472] Epoch: [272] [660/850] eta: 0:02:45 lr: 0.001886 loss: 0.0177 (0.0184) loss_rec_all: 0.0539 (0.0546) loss_rec_sfr: 0.0580 (0.0785) loss_cl: -0.3667 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [11:22:19.095998] Epoch: [272] [680/850] eta: 0:02:28 lr: 0.001886 loss: 0.0163 (0.0184) loss_rec_all: 0.0526 (0.0545) loss_rec_sfr: 0.0559 (0.0784) loss_cl: -0.3668 (-0.3673) time: 0.8684 data: 0.0002 max mem: 29859 [11:22:36.426821] Epoch: [272] [700/850] eta: 0:02:10 lr: 0.001886 loss: 0.0162 (0.0183) loss_rec_all: 0.0523 (0.0545) loss_rec_sfr: 0.0593 (0.0783) loss_cl: -0.3671 (-0.3673) time: 0.8665 data: 0.0003 max mem: 29859 [11:22:53.741512] Epoch: [272] [720/850] eta: 0:01:53 lr: 0.001886 loss: 0.0175 (0.0183) loss_rec_all: 0.0537 (0.0545) loss_rec_sfr: 0.0809 (0.0783) loss_cl: -0.3678 (-0.3673) time: 0.8657 data: 0.0002 max mem: 29859 [11:23:11.043046] Epoch: [272] [740/850] eta: 0:01:35 lr: 0.001886 loss: 0.0162 (0.0183) loss_rec_all: 0.0526 (0.0545) loss_rec_sfr: 0.0540 (0.0780) loss_cl: -0.3675 (-0.3673) time: 0.8650 data: 0.0002 max mem: 29859 [11:23:28.482580] Epoch: [272] [760/850] eta: 0:01:18 lr: 0.001886 loss: 0.0162 (0.0183) loss_rec_all: 0.0527 (0.0545) loss_rec_sfr: 0.0559 (0.0777) loss_cl: -0.3672 (-0.3673) time: 0.8719 data: 0.0003 max mem: 29859 [11:23:45.770586] Epoch: [272] [780/850] eta: 0:01:00 lr: 0.001885 loss: 0.0165 (0.0182) loss_rec_all: 0.0529 (0.0544) loss_rec_sfr: 0.0593 (0.0776) loss_cl: -0.3675 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [11:24:03.119901] Epoch: [272] [800/850] eta: 0:00:43 lr: 0.001885 loss: 0.0166 (0.0182) loss_rec_all: 0.0527 (0.0544) loss_rec_sfr: 0.0785 (0.0776) loss_cl: -0.3673 (-0.3673) time: 0.8674 data: 0.0002 max mem: 29859 [11:24:20.503846] Epoch: [272] [820/850] eta: 0:00:26 lr: 0.001885 loss: 0.0180 (0.0182) loss_rec_all: 0.0543 (0.0544) loss_rec_sfr: 0.0683 (0.0776) loss_cl: -0.3672 (-0.3673) time: 0.8691 data: 0.0003 max mem: 29859 [11:24:37.808000] Epoch: [272] [840/850] eta: 0:00:08 lr: 0.001885 loss: 0.0170 (0.0182) loss_rec_all: 0.0532 (0.0544) loss_rec_sfr: 0.0707 (0.0775) loss_cl: -0.3673 (-0.3673) time: 0.8652 data: 0.0005 max mem: 29859 [11:24:45.576280] Epoch: [272] [849/850] eta: 0:00:00 lr: 0.001885 loss: 0.0172 (0.0182) loss_rec_all: 0.0534 (0.0544) loss_rec_sfr: 0.0707 (0.0775) loss_cl: -0.3675 (-0.3673) time: 0.8649 data: 0.0004 max mem: 29859 [11:24:45.712503] Epoch: [272] Total time: 0:12:20 (0.8712 s / it) [11:24:45.715301] Averaged stats: lr: 0.001885 loss: 0.0172 (0.0183) loss_rec_all: 0.0534 (0.0545) loss_rec_sfr: 0.0707 (0.0769) loss_cl: -0.3675 (-0.3673) [11:24:45.728542] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [11:24:49.856023] Epoch: [273] [ 0/850] eta: 0:58:27 lr: 0.001885 loss: 0.0168 (0.0168) loss_rec_all: 0.0531 (0.0531) loss_rec_sfr: 0.0598 (0.0598) loss_cl: -0.3673 (-0.3673) time: 4.1267 data: 3.2673 max mem: 29859 [11:25:07.177766] Epoch: [273] [ 20/850] eta: 0:14:07 lr: 0.001885 loss: 0.0175 (0.0183) loss_rec_all: 0.0538 (0.0545) loss_rec_sfr: 0.0661 (0.0738) loss_cl: -0.3676 (-0.3676) time: 0.8660 data: 0.0003 max mem: 29859 [11:25:24.508052] Epoch: [273] [ 40/850] eta: 0:12:46 lr: 0.001885 loss: 0.0171 (0.0183) loss_rec_all: 0.0532 (0.0546) loss_rec_sfr: 0.0779 (0.0746) loss_cl: -0.3678 (-0.3677) time: 0.8665 data: 0.0003 max mem: 29859 [11:25:41.792940] Epoch: [273] [ 60/850] eta: 0:12:06 lr: 0.001885 loss: 0.0189 (0.0185) loss_rec_all: 0.0550 (0.0547) loss_rec_sfr: 0.0912 (0.0792) loss_cl: -0.3679 (-0.3678) time: 0.8642 data: 0.0002 max mem: 29859 [11:25:59.161417] Epoch: [273] [ 80/850] eta: 0:11:38 lr: 0.001885 loss: 0.0185 (0.0183) loss_rec_all: 0.0545 (0.0545) loss_rec_sfr: 0.0794 (0.0805) loss_cl: -0.3674 (-0.3677) time: 0.8684 data: 0.0002 max mem: 29859 [11:26:16.491166] Epoch: [273] [100/850] eta: 0:11:13 lr: 0.001885 loss: 0.0173 (0.0183) loss_rec_all: 0.0534 (0.0545) loss_rec_sfr: 0.0814 (0.0812) loss_cl: -0.3671 (-0.3676) time: 0.8664 data: 0.0003 max mem: 29859 [11:26:33.831766] Epoch: [273] [120/850] eta: 0:10:52 lr: 0.001885 loss: 0.0173 (0.0182) loss_rec_all: 0.0533 (0.0544) loss_rec_sfr: 0.0772 (0.0799) loss_cl: -0.3671 (-0.3675) time: 0.8670 data: 0.0002 max mem: 29859 [11:26:51.144651] Epoch: [273] [140/850] eta: 0:10:31 lr: 0.001884 loss: 0.0170 (0.0181) loss_rec_all: 0.0531 (0.0543) loss_rec_sfr: 0.0544 (0.0783) loss_cl: -0.3673 (-0.3675) time: 0.8656 data: 0.0002 max mem: 29859 [11:27:08.575092] Epoch: [273] [160/850] eta: 0:10:12 lr: 0.001884 loss: 0.0180 (0.0182) loss_rec_all: 0.0540 (0.0544) loss_rec_sfr: 0.0840 (0.0787) loss_cl: -0.3670 (-0.3674) time: 0.8715 data: 0.0003 max mem: 29859 [11:27:25.860796] Epoch: [273] [180/850] eta: 0:09:52 lr: 0.001884 loss: 0.0167 (0.0183) loss_rec_all: 0.0531 (0.0545) loss_rec_sfr: 0.0584 (0.0780) loss_cl: -0.3669 (-0.3674) time: 0.8642 data: 0.0002 max mem: 29859 [11:27:43.215504] Epoch: [273] [200/850] eta: 0:09:33 lr: 0.001884 loss: 0.0175 (0.0182) loss_rec_all: 0.0536 (0.0544) loss_rec_sfr: 0.0835 (0.0783) loss_cl: -0.3670 (-0.3673) time: 0.8677 data: 0.0002 max mem: 29859 [11:28:00.578754] Epoch: [273] [220/850] eta: 0:09:15 lr: 0.001884 loss: 0.0168 (0.0182) loss_rec_all: 0.0531 (0.0543) loss_rec_sfr: 0.0544 (0.0778) loss_cl: -0.3672 (-0.3673) time: 0.8681 data: 0.0004 max mem: 29859 [11:28:17.896461] Epoch: [273] [240/850] eta: 0:08:56 lr: 0.001884 loss: 0.0175 (0.0181) loss_rec_all: 0.0537 (0.0543) loss_rec_sfr: 0.0808 (0.0782) loss_cl: -0.3676 (-0.3673) time: 0.8658 data: 0.0002 max mem: 29859 [11:28:35.200552] Epoch: [273] [260/850] eta: 0:08:38 lr: 0.001884 loss: 0.0164 (0.0181) loss_rec_all: 0.0528 (0.0543) loss_rec_sfr: 0.0787 (0.0782) loss_cl: -0.3675 (-0.3673) time: 0.8652 data: 0.0003 max mem: 29859 [11:28:52.596623] Epoch: [273] [280/850] eta: 0:08:20 lr: 0.001884 loss: 0.0166 (0.0180) loss_rec_all: 0.0527 (0.0542) loss_rec_sfr: 0.0531 (0.0773) loss_cl: -0.3677 (-0.3673) time: 0.8697 data: 0.0003 max mem: 29859 [11:29:09.906329] Epoch: [273] [300/850] eta: 0:08:02 lr: 0.001884 loss: 0.0156 (0.0179) loss_rec_all: 0.0520 (0.0541) loss_rec_sfr: 0.0565 (0.0765) loss_cl: -0.3672 (-0.3673) time: 0.8654 data: 0.0002 max mem: 29859 [11:29:27.227492] Epoch: [273] [320/850] eta: 0:07:44 lr: 0.001884 loss: 0.0175 (0.0179) loss_rec_all: 0.0537 (0.0541) loss_rec_sfr: 0.0594 (0.0763) loss_cl: -0.3670 (-0.3673) time: 0.8660 data: 0.0002 max mem: 29859 [11:29:44.589320] Epoch: [273] [340/850] eta: 0:07:26 lr: 0.001884 loss: 0.0194 (0.0180) loss_rec_all: 0.0553 (0.0542) loss_rec_sfr: 0.1014 (0.0777) loss_cl: -0.3670 (-0.3673) time: 0.8680 data: 0.0003 max mem: 29859 [11:30:01.970576] Epoch: [273] [360/850] eta: 0:07:09 lr: 0.001883 loss: 0.0183 (0.0181) loss_rec_all: 0.0543 (0.0543) loss_rec_sfr: 0.0792 (0.0778) loss_cl: -0.3675 (-0.3673) time: 0.8690 data: 0.0002 max mem: 29859 [11:30:19.245388] Epoch: [273] [380/850] eta: 0:06:51 lr: 0.001883 loss: 0.0172 (0.0181) loss_rec_all: 0.0536 (0.0543) loss_rec_sfr: 0.0632 (0.0778) loss_cl: -0.3676 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [11:30:36.672123] Epoch: [273] [400/850] eta: 0:06:33 lr: 0.001883 loss: 0.0180 (0.0181) loss_rec_all: 0.0542 (0.0543) loss_rec_sfr: 0.0754 (0.0780) loss_cl: -0.3673 (-0.3673) time: 0.8713 data: 0.0003 max mem: 29859 [11:30:53.991531] Epoch: [273] [420/850] eta: 0:06:16 lr: 0.001883 loss: 0.0166 (0.0180) loss_rec_all: 0.0529 (0.0542) loss_rec_sfr: 0.0602 (0.0775) loss_cl: -0.3678 (-0.3673) time: 0.8659 data: 0.0002 max mem: 29859 [11:31:11.313001] Epoch: [273] [440/850] eta: 0:05:58 lr: 0.001883 loss: 0.0168 (0.0180) loss_rec_all: 0.0531 (0.0542) loss_rec_sfr: 0.0547 (0.0774) loss_cl: -0.3675 (-0.3673) time: 0.8660 data: 0.0002 max mem: 29859 [11:31:28.633242] Epoch: [273] [460/850] eta: 0:05:40 lr: 0.001883 loss: 0.0173 (0.0180) loss_rec_all: 0.0535 (0.0542) loss_rec_sfr: 0.0589 (0.0771) loss_cl: -0.3678 (-0.3673) time: 0.8659 data: 0.0003 max mem: 29859 [11:31:46.029216] Epoch: [273] [480/850] eta: 0:05:23 lr: 0.001883 loss: 0.0169 (0.0180) loss_rec_all: 0.0531 (0.0542) loss_rec_sfr: 0.0644 (0.0768) loss_cl: -0.3678 (-0.3674) time: 0.8697 data: 0.0003 max mem: 29859 [11:32:03.327299] Epoch: [273] [500/850] eta: 0:05:05 lr: 0.001883 loss: 0.0175 (0.0180) loss_rec_all: 0.0538 (0.0542) loss_rec_sfr: 0.0606 (0.0769) loss_cl: -0.3679 (-0.3674) time: 0.8649 data: 0.0002 max mem: 29859 [11:32:20.656456] Epoch: [273] [520/850] eta: 0:04:48 lr: 0.001883 loss: 0.0182 (0.0180) loss_rec_all: 0.0543 (0.0542) loss_rec_sfr: 0.0801 (0.0770) loss_cl: -0.3674 (-0.3674) time: 0.8664 data: 0.0002 max mem: 29859 [11:32:38.002911] Epoch: [273] [540/850] eta: 0:04:30 lr: 0.001883 loss: 0.0188 (0.0181) loss_rec_all: 0.0548 (0.0543) loss_rec_sfr: 0.0820 (0.0772) loss_cl: -0.3674 (-0.3674) time: 0.8672 data: 0.0003 max mem: 29859 [11:32:55.325872] Epoch: [273] [560/850] eta: 0:04:13 lr: 0.001882 loss: 0.0198 (0.0181) loss_rec_all: 0.0559 (0.0543) loss_rec_sfr: 0.0789 (0.0773) loss_cl: -0.3671 (-0.3674) time: 0.8661 data: 0.0002 max mem: 29859 [11:33:12.605987] Epoch: [273] [580/850] eta: 0:03:55 lr: 0.001882 loss: 0.0179 (0.0181) loss_rec_all: 0.0542 (0.0543) loss_rec_sfr: 0.0792 (0.0774) loss_cl: -0.3674 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [11:33:30.024042] Epoch: [273] [600/850] eta: 0:03:38 lr: 0.001882 loss: 0.0186 (0.0182) loss_rec_all: 0.0549 (0.0544) loss_rec_sfr: 0.0815 (0.0775) loss_cl: -0.3674 (-0.3674) time: 0.8708 data: 0.0003 max mem: 29859 [11:33:47.314025] Epoch: [273] [620/850] eta: 0:03:20 lr: 0.001882 loss: 0.0169 (0.0181) loss_rec_all: 0.0534 (0.0543) loss_rec_sfr: 0.0546 (0.0772) loss_cl: -0.3676 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [11:34:04.622355] Epoch: [273] [640/850] eta: 0:03:03 lr: 0.001882 loss: 0.0176 (0.0181) loss_rec_all: 0.0538 (0.0543) loss_rec_sfr: 0.0622 (0.0775) loss_cl: -0.3671 (-0.3674) time: 0.8654 data: 0.0002 max mem: 29859 [11:34:21.991022] Epoch: [273] [660/850] eta: 0:02:45 lr: 0.001882 loss: 0.0167 (0.0181) loss_rec_all: 0.0530 (0.0543) loss_rec_sfr: 0.0588 (0.0774) loss_cl: -0.3671 (-0.3674) time: 0.8684 data: 0.0003 max mem: 29859 [11:34:39.323531] Epoch: [273] [680/850] eta: 0:02:28 lr: 0.001882 loss: 0.0172 (0.0181) loss_rec_all: 0.0534 (0.0543) loss_rec_sfr: 0.0621 (0.0773) loss_cl: -0.3670 (-0.3673) time: 0.8666 data: 0.0002 max mem: 29859 [11:34:56.592995] Epoch: [273] [700/850] eta: 0:02:10 lr: 0.001882 loss: 0.0183 (0.0181) loss_rec_all: 0.0542 (0.0543) loss_rec_sfr: 0.0931 (0.0777) loss_cl: -0.3669 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [11:35:13.985402] Epoch: [273] [720/850] eta: 0:01:53 lr: 0.001882 loss: 0.0197 (0.0182) loss_rec_all: 0.0557 (0.0544) loss_rec_sfr: 0.0803 (0.0777) loss_cl: -0.3667 (-0.3673) time: 0.8695 data: 0.0003 max mem: 29859 [11:35:31.306022] Epoch: [273] [740/850] eta: 0:01:35 lr: 0.001882 loss: 0.0182 (0.0182) loss_rec_all: 0.0543 (0.0544) loss_rec_sfr: 0.0621 (0.0778) loss_cl: -0.3670 (-0.3673) time: 0.8660 data: 0.0003 max mem: 29859 [11:35:48.637114] Epoch: [273] [760/850] eta: 0:01:18 lr: 0.001881 loss: 0.0175 (0.0182) loss_rec_all: 0.0537 (0.0544) loss_rec_sfr: 0.0587 (0.0778) loss_cl: -0.3669 (-0.3673) time: 0.8665 data: 0.0002 max mem: 29859 [11:36:05.946796] Epoch: [273] [780/850] eta: 0:01:00 lr: 0.001881 loss: 0.0169 (0.0182) loss_rec_all: 0.0532 (0.0544) loss_rec_sfr: 0.0593 (0.0777) loss_cl: -0.3677 (-0.3673) time: 0.8654 data: 0.0002 max mem: 29859 [11:36:23.338318] Epoch: [273] [800/850] eta: 0:00:43 lr: 0.001881 loss: 0.0177 (0.0182) loss_rec_all: 0.0538 (0.0544) loss_rec_sfr: 0.0787 (0.0778) loss_cl: -0.3678 (-0.3673) time: 0.8695 data: 0.0003 max mem: 29859 [11:36:40.625136] Epoch: [273] [820/850] eta: 0:00:26 lr: 0.001881 loss: 0.0179 (0.0182) loss_rec_all: 0.0542 (0.0544) loss_rec_sfr: 0.0770 (0.0777) loss_cl: -0.3679 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [11:36:57.967316] Epoch: [273] [840/850] eta: 0:00:08 lr: 0.001881 loss: 0.0175 (0.0182) loss_rec_all: 0.0538 (0.0544) loss_rec_sfr: 0.0764 (0.0778) loss_cl: -0.3683 (-0.3673) time: 0.8670 data: 0.0006 max mem: 29859 [11:37:05.800086] Epoch: [273] [849/850] eta: 0:00:00 lr: 0.001881 loss: 0.0185 (0.0182) loss_rec_all: 0.0544 (0.0544) loss_rec_sfr: 0.0759 (0.0778) loss_cl: -0.3682 (-0.3674) time: 0.8699 data: 0.0006 max mem: 29859 [11:37:05.945561] Epoch: [273] Total time: 0:12:20 (0.8708 s / it) [11:37:05.971802] Averaged stats: lr: 0.001881 loss: 0.0185 (0.0181) loss_rec_all: 0.0544 (0.0543) loss_rec_sfr: 0.0759 (0.0774) loss_cl: -0.3682 (-0.3673) [11:37:05.980781] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [11:37:10.358941] Epoch: [274] [ 0/850] eta: 1:02:00 lr: 0.001881 loss: 0.0141 (0.0141) loss_rec_all: 0.0505 (0.0505) loss_rec_sfr: 0.0512 (0.0512) loss_cl: -0.3672 (-0.3672) time: 4.3773 data: 3.5175 max mem: 29859 [11:37:27.604965] Epoch: [274] [ 20/850] eta: 0:14:14 lr: 0.001881 loss: 0.0162 (0.0170) loss_rec_all: 0.0525 (0.0532) loss_rec_sfr: 0.0588 (0.0686) loss_cl: -0.3672 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [11:37:44.916244] Epoch: [274] [ 40/850] eta: 0:12:49 lr: 0.001881 loss: 0.0178 (0.0173) loss_rec_all: 0.0539 (0.0535) loss_rec_sfr: 0.0624 (0.0743) loss_cl: -0.3666 (-0.3670) time: 0.8654 data: 0.0002 max mem: 29859 [11:38:02.342307] Epoch: [274] [ 60/850] eta: 0:12:09 lr: 0.001881 loss: 0.0164 (0.0173) loss_rec_all: 0.0525 (0.0535) loss_rec_sfr: 0.0607 (0.0742) loss_cl: -0.3664 (-0.3668) time: 0.8712 data: 0.0003 max mem: 29859 [11:38:19.672519] Epoch: [274] [ 80/850] eta: 0:11:40 lr: 0.001881 loss: 0.0165 (0.0174) loss_rec_all: 0.0529 (0.0535) loss_rec_sfr: 0.0773 (0.0747) loss_cl: -0.3671 (-0.3669) time: 0.8665 data: 0.0002 max mem: 29859 [11:38:36.948089] Epoch: [274] [100/850] eta: 0:11:15 lr: 0.001881 loss: 0.0180 (0.0176) loss_rec_all: 0.0543 (0.0537) loss_rec_sfr: 0.0764 (0.0752) loss_cl: -0.3672 (-0.3669) time: 0.8637 data: 0.0002 max mem: 29859 [11:38:54.365200] Epoch: [274] [120/850] eta: 0:10:53 lr: 0.001880 loss: 0.0180 (0.0178) loss_rec_all: 0.0543 (0.0539) loss_rec_sfr: 0.0644 (0.0759) loss_cl: -0.3676 (-0.3670) time: 0.8708 data: 0.0003 max mem: 29859 [11:39:11.666097] Epoch: [274] [140/850] eta: 0:10:32 lr: 0.001880 loss: 0.0190 (0.0180) loss_rec_all: 0.0551 (0.0541) loss_rec_sfr: 0.0786 (0.0768) loss_cl: -0.3680 (-0.3671) time: 0.8650 data: 0.0002 max mem: 29859 [11:39:28.980823] Epoch: [274] [160/850] eta: 0:10:12 lr: 0.001880 loss: 0.0213 (0.0184) loss_rec_all: 0.0573 (0.0546) loss_rec_sfr: 0.0876 (0.0784) loss_cl: -0.3685 (-0.3673) time: 0.8657 data: 0.0002 max mem: 29859 [11:39:46.298820] Epoch: [274] [180/850] eta: 0:09:53 lr: 0.001880 loss: 0.0190 (0.0186) loss_rec_all: 0.0551 (0.0548) loss_rec_sfr: 0.0834 (0.0786) loss_cl: -0.3679 (-0.3673) time: 0.8659 data: 0.0003 max mem: 29859 [11:40:03.653803] Epoch: [274] [200/850] eta: 0:09:34 lr: 0.001880 loss: 0.0187 (0.0187) loss_rec_all: 0.0549 (0.0549) loss_rec_sfr: 0.0596 (0.0776) loss_cl: -0.3671 (-0.3673) time: 0.8677 data: 0.0002 max mem: 29859 [11:40:20.924546] Epoch: [274] [220/850] eta: 0:09:15 lr: 0.001880 loss: 0.0184 (0.0188) loss_rec_all: 0.0545 (0.0550) loss_rec_sfr: 0.0810 (0.0777) loss_cl: -0.3670 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [11:40:38.254694] Epoch: [274] [240/850] eta: 0:08:57 lr: 0.001880 loss: 0.0179 (0.0188) loss_rec_all: 0.0539 (0.0549) loss_rec_sfr: 0.0791 (0.0780) loss_cl: -0.3671 (-0.3673) time: 0.8665 data: 0.0002 max mem: 29859 [11:40:55.605687] Epoch: [274] [260/850] eta: 0:08:39 lr: 0.001880 loss: 0.0182 (0.0188) loss_rec_all: 0.0544 (0.0550) loss_rec_sfr: 0.0787 (0.0780) loss_cl: -0.3672 (-0.3673) time: 0.8675 data: 0.0003 max mem: 29859 [11:41:12.916388] Epoch: [274] [280/850] eta: 0:08:20 lr: 0.001880 loss: 0.0179 (0.0187) loss_rec_all: 0.0540 (0.0549) loss_rec_sfr: 0.0637 (0.0777) loss_cl: -0.3672 (-0.3673) time: 0.8655 data: 0.0002 max mem: 29859 [11:41:30.242728] Epoch: [274] [300/850] eta: 0:08:02 lr: 0.001880 loss: 0.0167 (0.0187) loss_rec_all: 0.0529 (0.0548) loss_rec_sfr: 0.0750 (0.0775) loss_cl: -0.3670 (-0.3673) time: 0.8663 data: 0.0002 max mem: 29859 [11:41:47.681310] Epoch: [274] [320/850] eta: 0:07:45 lr: 0.001880 loss: 0.0164 (0.0186) loss_rec_all: 0.0528 (0.0548) loss_rec_sfr: 0.0608 (0.0772) loss_cl: -0.3673 (-0.3673) time: 0.8719 data: 0.0003 max mem: 29859 [11:42:04.959958] Epoch: [274] [340/850] eta: 0:07:27 lr: 0.001879 loss: 0.0168 (0.0186) loss_rec_all: 0.0531 (0.0548) loss_rec_sfr: 0.0793 (0.0773) loss_cl: -0.3678 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [11:42:22.295041] Epoch: [274] [360/850] eta: 0:07:09 lr: 0.001879 loss: 0.0175 (0.0185) loss_rec_all: 0.0540 (0.0547) loss_rec_sfr: 0.0554 (0.0773) loss_cl: -0.3682 (-0.3673) time: 0.8667 data: 0.0002 max mem: 29859 [11:42:39.639329] Epoch: [274] [380/850] eta: 0:06:51 lr: 0.001879 loss: 0.0187 (0.0185) loss_rec_all: 0.0547 (0.0547) loss_rec_sfr: 0.0733 (0.0772) loss_cl: -0.3683 (-0.3674) time: 0.8671 data: 0.0003 max mem: 29859 [11:42:56.969826] Epoch: [274] [400/850] eta: 0:06:33 lr: 0.001879 loss: 0.0189 (0.0186) loss_rec_all: 0.0549 (0.0547) loss_rec_sfr: 0.0819 (0.0779) loss_cl: -0.3679 (-0.3674) time: 0.8665 data: 0.0002 max mem: 29859 [11:43:14.245265] Epoch: [274] [420/850] eta: 0:06:16 lr: 0.001879 loss: 0.0170 (0.0185) loss_rec_all: 0.0531 (0.0547) loss_rec_sfr: 0.0543 (0.0775) loss_cl: -0.3671 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [11:43:31.632048] Epoch: [274] [440/850] eta: 0:05:58 lr: 0.001879 loss: 0.0166 (0.0184) loss_rec_all: 0.0527 (0.0546) loss_rec_sfr: 0.0632 (0.0775) loss_cl: -0.3661 (-0.3673) time: 0.8693 data: 0.0003 max mem: 29859 [11:43:48.937501] Epoch: [274] [460/850] eta: 0:05:40 lr: 0.001879 loss: 0.0172 (0.0184) loss_rec_all: 0.0532 (0.0546) loss_rec_sfr: 0.0903 (0.0779) loss_cl: -0.3667 (-0.3673) time: 0.8652 data: 0.0003 max mem: 29859 [11:44:06.257118] Epoch: [274] [480/850] eta: 0:05:23 lr: 0.001879 loss: 0.0158 (0.0184) loss_rec_all: 0.0520 (0.0545) loss_rec_sfr: 0.0569 (0.0777) loss_cl: -0.3669 (-0.3673) time: 0.8659 data: 0.0002 max mem: 29859 [11:44:23.586761] Epoch: [274] [500/850] eta: 0:05:05 lr: 0.001879 loss: 0.0170 (0.0183) loss_rec_all: 0.0532 (0.0545) loss_rec_sfr: 0.0605 (0.0777) loss_cl: -0.3674 (-0.3673) time: 0.8664 data: 0.0003 max mem: 29859 [11:44:40.947511] Epoch: [274] [520/850] eta: 0:04:48 lr: 0.001879 loss: 0.0164 (0.0183) loss_rec_all: 0.0528 (0.0545) loss_rec_sfr: 0.0586 (0.0776) loss_cl: -0.3676 (-0.3673) time: 0.8680 data: 0.0003 max mem: 29859 [11:44:58.220539] Epoch: [274] [540/850] eta: 0:04:30 lr: 0.001878 loss: 0.0164 (0.0182) loss_rec_all: 0.0525 (0.0544) loss_rec_sfr: 0.0575 (0.0774) loss_cl: -0.3676 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [11:45:15.600663] Epoch: [274] [560/850] eta: 0:04:13 lr: 0.001878 loss: 0.0174 (0.0182) loss_rec_all: 0.0537 (0.0544) loss_rec_sfr: 0.0788 (0.0774) loss_cl: -0.3677 (-0.3673) time: 0.8689 data: 0.0003 max mem: 29859 [11:45:32.920295] Epoch: [274] [580/850] eta: 0:03:55 lr: 0.001878 loss: 0.0166 (0.0182) loss_rec_all: 0.0527 (0.0544) loss_rec_sfr: 0.0746 (0.0774) loss_cl: -0.3678 (-0.3673) time: 0.8659 data: 0.0003 max mem: 29859 [11:45:50.230353] Epoch: [274] [600/850] eta: 0:03:38 lr: 0.001878 loss: 0.0179 (0.0182) loss_rec_all: 0.0541 (0.0544) loss_rec_sfr: 0.0781 (0.0776) loss_cl: -0.3676 (-0.3673) time: 0.8654 data: 0.0002 max mem: 29859 [11:46:07.521339] Epoch: [274] [620/850] eta: 0:03:20 lr: 0.001878 loss: 0.0165 (0.0182) loss_rec_all: 0.0528 (0.0544) loss_rec_sfr: 0.0542 (0.0771) loss_cl: -0.3671 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [11:46:24.875629] Epoch: [274] [640/850] eta: 0:03:03 lr: 0.001878 loss: 0.0175 (0.0182) loss_rec_all: 0.0538 (0.0544) loss_rec_sfr: 0.0563 (0.0770) loss_cl: -0.3672 (-0.3673) time: 0.8677 data: 0.0003 max mem: 29859 [11:46:42.150945] Epoch: [274] [660/850] eta: 0:02:45 lr: 0.001878 loss: 0.0180 (0.0182) loss_rec_all: 0.0543 (0.0544) loss_rec_sfr: 0.0576 (0.0769) loss_cl: -0.3675 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [11:46:59.474265] Epoch: [274] [680/850] eta: 0:02:28 lr: 0.001878 loss: 0.0179 (0.0182) loss_rec_all: 0.0542 (0.0544) loss_rec_sfr: 0.0598 (0.0769) loss_cl: -0.3676 (-0.3673) time: 0.8661 data: 0.0002 max mem: 29859 [11:47:16.827463] Epoch: [274] [700/850] eta: 0:02:10 lr: 0.001878 loss: 0.0179 (0.0182) loss_rec_all: 0.0542 (0.0544) loss_rec_sfr: 0.0799 (0.0770) loss_cl: -0.3674 (-0.3673) time: 0.8676 data: 0.0003 max mem: 29859 [11:47:34.143165] Epoch: [274] [720/850] eta: 0:01:53 lr: 0.001878 loss: 0.0180 (0.0183) loss_rec_all: 0.0545 (0.0545) loss_rec_sfr: 0.0767 (0.0769) loss_cl: -0.3674 (-0.3673) time: 0.8657 data: 0.0002 max mem: 29859 [11:47:51.413871] Epoch: [274] [740/850] eta: 0:01:35 lr: 0.001878 loss: 0.0186 (0.0183) loss_rec_all: 0.0546 (0.0545) loss_rec_sfr: 0.0798 (0.0770) loss_cl: -0.3668 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [11:48:08.860970] Epoch: [274] [760/850] eta: 0:01:18 lr: 0.001877 loss: 0.0178 (0.0183) loss_rec_all: 0.0537 (0.0545) loss_rec_sfr: 0.0551 (0.0767) loss_cl: -0.3671 (-0.3673) time: 0.8723 data: 0.0004 max mem: 29859 [11:48:26.138178] Epoch: [274] [780/850] eta: 0:01:00 lr: 0.001877 loss: 0.0165 (0.0183) loss_rec_all: 0.0528 (0.0545) loss_rec_sfr: 0.0529 (0.0766) loss_cl: -0.3671 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [11:48:43.466264] Epoch: [274] [800/850] eta: 0:00:43 lr: 0.001877 loss: 0.0174 (0.0182) loss_rec_all: 0.0535 (0.0544) loss_rec_sfr: 0.0612 (0.0766) loss_cl: -0.3674 (-0.3673) time: 0.8663 data: 0.0002 max mem: 29859 [11:49:00.886979] Epoch: [274] [820/850] eta: 0:00:26 lr: 0.001877 loss: 0.0171 (0.0182) loss_rec_all: 0.0533 (0.0544) loss_rec_sfr: 0.0856 (0.0768) loss_cl: -0.3675 (-0.3673) time: 0.8710 data: 0.0003 max mem: 29859 [11:49:18.210613] Epoch: [274] [840/850] eta: 0:00:08 lr: 0.001877 loss: 0.0167 (0.0182) loss_rec_all: 0.0529 (0.0544) loss_rec_sfr: 0.0523 (0.0765) loss_cl: -0.3673 (-0.3673) time: 0.8661 data: 0.0005 max mem: 29859 [11:49:25.992615] Epoch: [274] [849/850] eta: 0:00:00 lr: 0.001877 loss: 0.0165 (0.0182) loss_rec_all: 0.0529 (0.0544) loss_rec_sfr: 0.0616 (0.0766) loss_cl: -0.3673 (-0.3673) time: 0.8663 data: 0.0004 max mem: 29859 [11:49:26.147248] Epoch: [274] Total time: 0:12:20 (0.8708 s / it) [11:49:26.164446] Averaged stats: lr: 0.001877 loss: 0.0165 (0.0181) loss_rec_all: 0.0529 (0.0543) loss_rec_sfr: 0.0616 (0.0759) loss_cl: -0.3673 (-0.3673) [11:49:26.174513] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [11:49:30.726986] Epoch: [275] [ 0/850] eta: 1:04:28 lr: 0.001877 loss: 0.0163 (0.0163) loss_rec_all: 0.0527 (0.0527) loss_rec_sfr: 0.0561 (0.0561) loss_cl: -0.3677 (-0.3677) time: 4.5517 data: 3.6932 max mem: 29859 [11:49:48.067507] Epoch: [275] [ 20/850] eta: 0:14:25 lr: 0.001877 loss: 0.0160 (0.0170) loss_rec_all: 0.0523 (0.0533) loss_rec_sfr: 0.0567 (0.0662) loss_cl: -0.3679 (-0.3678) time: 0.8670 data: 0.0003 max mem: 29859 [11:50:05.397552] Epoch: [275] [ 40/850] eta: 0:12:54 lr: 0.001877 loss: 0.0175 (0.0173) loss_rec_all: 0.0539 (0.0536) loss_rec_sfr: 0.0772 (0.0736) loss_cl: -0.3678 (-0.3678) time: 0.8664 data: 0.0002 max mem: 29859 [11:50:22.676174] Epoch: [275] [ 60/850] eta: 0:12:11 lr: 0.001877 loss: 0.0169 (0.0174) loss_rec_all: 0.0529 (0.0536) loss_rec_sfr: 0.0651 (0.0741) loss_cl: -0.3676 (-0.3677) time: 0.8639 data: 0.0002 max mem: 29859 [11:50:40.023396] Epoch: [275] [ 80/850] eta: 0:11:41 lr: 0.001877 loss: 0.0173 (0.0175) loss_rec_all: 0.0534 (0.0537) loss_rec_sfr: 0.0808 (0.0767) loss_cl: -0.3676 (-0.3677) time: 0.8673 data: 0.0003 max mem: 29859 [11:50:57.343223] Epoch: [275] [100/850] eta: 0:11:16 lr: 0.001876 loss: 0.0169 (0.0175) loss_rec_all: 0.0530 (0.0537) loss_rec_sfr: 0.0603 (0.0772) loss_cl: -0.3672 (-0.3676) time: 0.8659 data: 0.0003 max mem: 29859 [11:51:14.662060] Epoch: [275] [120/850] eta: 0:10:54 lr: 0.001876 loss: 0.0176 (0.0177) loss_rec_all: 0.0537 (0.0539) loss_rec_sfr: 0.0611 (0.0766) loss_cl: -0.3672 (-0.3675) time: 0.8659 data: 0.0002 max mem: 29859 [11:51:31.960434] Epoch: [275] [140/850] eta: 0:10:33 lr: 0.001876 loss: 0.0177 (0.0178) loss_rec_all: 0.0539 (0.0540) loss_rec_sfr: 0.0796 (0.0774) loss_cl: -0.3675 (-0.3675) time: 0.8649 data: 0.0002 max mem: 29859 [11:51:49.394335] Epoch: [275] [160/850] eta: 0:10:13 lr: 0.001876 loss: 0.0169 (0.0178) loss_rec_all: 0.0529 (0.0540) loss_rec_sfr: 0.0677 (0.0772) loss_cl: -0.3674 (-0.3675) time: 0.8716 data: 0.0003 max mem: 29859 [11:52:06.675442] Epoch: [275] [180/850] eta: 0:09:54 lr: 0.001876 loss: 0.0175 (0.0178) loss_rec_all: 0.0536 (0.0540) loss_rec_sfr: 0.0781 (0.0777) loss_cl: -0.3670 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [11:52:24.010514] Epoch: [275] [200/850] eta: 0:09:35 lr: 0.001876 loss: 0.0181 (0.0178) loss_rec_all: 0.0540 (0.0540) loss_rec_sfr: 0.0947 (0.0787) loss_cl: -0.3671 (-0.3674) time: 0.8667 data: 0.0002 max mem: 29859 [11:52:41.389273] Epoch: [275] [220/850] eta: 0:09:16 lr: 0.001876 loss: 0.0166 (0.0177) loss_rec_all: 0.0530 (0.0539) loss_rec_sfr: 0.0574 (0.0781) loss_cl: -0.3672 (-0.3674) time: 0.8689 data: 0.0003 max mem: 29859 [11:52:58.710536] Epoch: [275] [240/850] eta: 0:08:57 lr: 0.001876 loss: 0.0174 (0.0177) loss_rec_all: 0.0532 (0.0539) loss_rec_sfr: 0.0774 (0.0784) loss_cl: -0.3673 (-0.3674) time: 0.8660 data: 0.0002 max mem: 29859 [11:53:16.000879] Epoch: [275] [260/850] eta: 0:08:39 lr: 0.001876 loss: 0.0171 (0.0177) loss_rec_all: 0.0534 (0.0539) loss_rec_sfr: 0.0591 (0.0785) loss_cl: -0.3675 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [11:53:33.413406] Epoch: [275] [280/850] eta: 0:08:21 lr: 0.001876 loss: 0.0172 (0.0178) loss_rec_all: 0.0534 (0.0540) loss_rec_sfr: 0.0765 (0.0782) loss_cl: -0.3674 (-0.3674) time: 0.8706 data: 0.0004 max mem: 29859 [11:53:50.705369] Epoch: [275] [300/850] eta: 0:08:03 lr: 0.001876 loss: 0.0194 (0.0178) loss_rec_all: 0.0553 (0.0540) loss_rec_sfr: 0.0778 (0.0786) loss_cl: -0.3669 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [11:54:08.051877] Epoch: [275] [320/850] eta: 0:07:45 lr: 0.001875 loss: 0.0162 (0.0178) loss_rec_all: 0.0525 (0.0540) loss_rec_sfr: 0.0558 (0.0780) loss_cl: -0.3666 (-0.3673) time: 0.8673 data: 0.0002 max mem: 29859 [11:54:25.432840] Epoch: [275] [340/850] eta: 0:07:27 lr: 0.001875 loss: 0.0176 (0.0178) loss_rec_all: 0.0537 (0.0540) loss_rec_sfr: 0.0791 (0.0781) loss_cl: -0.3670 (-0.3673) time: 0.8690 data: 0.0003 max mem: 29859 [11:54:42.795045] Epoch: [275] [360/850] eta: 0:07:09 lr: 0.001875 loss: 0.0182 (0.0179) loss_rec_all: 0.0541 (0.0541) loss_rec_sfr: 0.0858 (0.0783) loss_cl: -0.3674 (-0.3673) time: 0.8681 data: 0.0002 max mem: 29859 [11:55:00.074066] Epoch: [275] [380/850] eta: 0:06:51 lr: 0.001875 loss: 0.0174 (0.0179) loss_rec_all: 0.0538 (0.0541) loss_rec_sfr: 0.0542 (0.0781) loss_cl: -0.3682 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [11:55:17.436311] Epoch: [275] [400/850] eta: 0:06:34 lr: 0.001875 loss: 0.0163 (0.0179) loss_rec_all: 0.0528 (0.0540) loss_rec_sfr: 0.0570 (0.0778) loss_cl: -0.3682 (-0.3674) time: 0.8680 data: 0.0003 max mem: 29859 [11:55:34.790129] Epoch: [275] [420/850] eta: 0:06:16 lr: 0.001875 loss: 0.0164 (0.0178) loss_rec_all: 0.0528 (0.0540) loss_rec_sfr: 0.0583 (0.0775) loss_cl: -0.3678 (-0.3674) time: 0.8676 data: 0.0003 max mem: 29859 [11:55:52.096149] Epoch: [275] [440/850] eta: 0:05:58 lr: 0.001875 loss: 0.0158 (0.0178) loss_rec_all: 0.0519 (0.0540) loss_rec_sfr: 0.0621 (0.0775) loss_cl: -0.3672 (-0.3674) time: 0.8653 data: 0.0002 max mem: 29859 [11:56:09.435774] Epoch: [275] [460/850] eta: 0:05:41 lr: 0.001875 loss: 0.0193 (0.0178) loss_rec_all: 0.0554 (0.0540) loss_rec_sfr: 0.0768 (0.0775) loss_cl: -0.3670 (-0.3673) time: 0.8669 data: 0.0002 max mem: 29859 [11:56:26.834337] Epoch: [275] [480/850] eta: 0:05:23 lr: 0.001875 loss: 0.0162 (0.0177) loss_rec_all: 0.0525 (0.0539) loss_rec_sfr: 0.0541 (0.0771) loss_cl: -0.3669 (-0.3673) time: 0.8699 data: 0.0003 max mem: 29859 [11:56:44.114101] Epoch: [275] [500/850] eta: 0:05:05 lr: 0.001875 loss: 0.0178 (0.0178) loss_rec_all: 0.0542 (0.0540) loss_rec_sfr: 0.0686 (0.0770) loss_cl: -0.3676 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [11:57:01.459321] Epoch: [275] [520/850] eta: 0:04:48 lr: 0.001874 loss: 0.0168 (0.0178) loss_rec_all: 0.0530 (0.0540) loss_rec_sfr: 0.0590 (0.0769) loss_cl: -0.3683 (-0.3674) time: 0.8672 data: 0.0002 max mem: 29859 [11:57:18.823747] Epoch: [275] [540/850] eta: 0:04:30 lr: 0.001874 loss: 0.0188 (0.0179) loss_rec_all: 0.0549 (0.0541) loss_rec_sfr: 0.0795 (0.0771) loss_cl: -0.3676 (-0.3674) time: 0.8682 data: 0.0004 max mem: 29859 [11:57:36.150231] Epoch: [275] [560/850] eta: 0:04:13 lr: 0.001874 loss: 0.0179 (0.0179) loss_rec_all: 0.0539 (0.0541) loss_rec_sfr: 0.0632 (0.0771) loss_cl: -0.3672 (-0.3674) time: 0.8663 data: 0.0002 max mem: 29859 [11:57:53.443870] Epoch: [275] [580/850] eta: 0:03:55 lr: 0.001874 loss: 0.0177 (0.0179) loss_rec_all: 0.0539 (0.0541) loss_rec_sfr: 0.0794 (0.0773) loss_cl: -0.3670 (-0.3674) time: 0.8646 data: 0.0002 max mem: 29859 [11:58:10.850197] Epoch: [275] [600/850] eta: 0:03:38 lr: 0.001874 loss: 0.0178 (0.0179) loss_rec_all: 0.0539 (0.0541) loss_rec_sfr: 0.0800 (0.0775) loss_cl: -0.3668 (-0.3673) time: 0.8703 data: 0.0004 max mem: 29859 [11:58:28.134670] Epoch: [275] [620/850] eta: 0:03:20 lr: 0.001874 loss: 0.0180 (0.0179) loss_rec_all: 0.0540 (0.0541) loss_rec_sfr: 0.0770 (0.0776) loss_cl: -0.3666 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [11:58:45.453165] Epoch: [275] [640/850] eta: 0:03:03 lr: 0.001874 loss: 0.0168 (0.0179) loss_rec_all: 0.0529 (0.0541) loss_rec_sfr: 0.0652 (0.0777) loss_cl: -0.3671 (-0.3673) time: 0.8659 data: 0.0002 max mem: 29859 [11:59:02.839010] Epoch: [275] [660/850] eta: 0:02:45 lr: 0.001874 loss: 0.0182 (0.0179) loss_rec_all: 0.0541 (0.0541) loss_rec_sfr: 0.0614 (0.0776) loss_cl: -0.3672 (-0.3673) time: 0.8692 data: 0.0003 max mem: 29859 [11:59:20.254332] Epoch: [275] [680/850] eta: 0:02:28 lr: 0.001874 loss: 0.0162 (0.0179) loss_rec_all: 0.0527 (0.0541) loss_rec_sfr: 0.0590 (0.0774) loss_cl: -0.3672 (-0.3673) time: 0.8707 data: 0.0002 max mem: 29859 [11:59:37.533720] Epoch: [275] [700/850] eta: 0:02:10 lr: 0.001874 loss: 0.0174 (0.0179) loss_rec_all: 0.0537 (0.0541) loss_rec_sfr: 0.0596 (0.0772) loss_cl: -0.3677 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [11:59:54.966006] Epoch: [275] [720/850] eta: 0:01:53 lr: 0.001873 loss: 0.0168 (0.0179) loss_rec_all: 0.0531 (0.0541) loss_rec_sfr: 0.0608 (0.0773) loss_cl: -0.3678 (-0.3673) time: 0.8715 data: 0.0003 max mem: 29859 [12:00:12.273246] Epoch: [275] [740/850] eta: 0:01:35 lr: 0.001873 loss: 0.0169 (0.0179) loss_rec_all: 0.0532 (0.0541) loss_rec_sfr: 0.0611 (0.0772) loss_cl: -0.3676 (-0.3673) time: 0.8653 data: 0.0003 max mem: 29859 [12:00:29.588666] Epoch: [275] [760/850] eta: 0:01:18 lr: 0.001873 loss: 0.0170 (0.0179) loss_rec_all: 0.0533 (0.0541) loss_rec_sfr: 0.0570 (0.0770) loss_cl: -0.3678 (-0.3673) time: 0.8657 data: 0.0002 max mem: 29859 [12:00:46.905250] Epoch: [275] [780/850] eta: 0:01:01 lr: 0.001873 loss: 0.0175 (0.0179) loss_rec_all: 0.0539 (0.0541) loss_rec_sfr: 0.0546 (0.0767) loss_cl: -0.3675 (-0.3673) time: 0.8657 data: 0.0003 max mem: 29859 [12:01:04.273576] Epoch: [275] [800/850] eta: 0:00:43 lr: 0.001873 loss: 0.0178 (0.0179) loss_rec_all: 0.0542 (0.0541) loss_rec_sfr: 0.0620 (0.0768) loss_cl: -0.3674 (-0.3673) time: 0.8684 data: 0.0003 max mem: 29859 [12:01:21.572971] Epoch: [275] [820/850] eta: 0:00:26 lr: 0.001873 loss: 0.0173 (0.0179) loss_rec_all: 0.0534 (0.0541) loss_rec_sfr: 0.0580 (0.0766) loss_cl: -0.3679 (-0.3674) time: 0.8649 data: 0.0002 max mem: 29859 [12:01:38.935481] Epoch: [275] [840/850] eta: 0:00:08 lr: 0.001873 loss: 0.0176 (0.0179) loss_rec_all: 0.0539 (0.0541) loss_rec_sfr: 0.0584 (0.0764) loss_cl: -0.3676 (-0.3674) time: 0.8680 data: 0.0005 max mem: 29859 [12:01:46.754889] Epoch: [275] [849/850] eta: 0:00:00 lr: 0.001873 loss: 0.0174 (0.0179) loss_rec_all: 0.0538 (0.0541) loss_rec_sfr: 0.0657 (0.0764) loss_cl: -0.3676 (-0.3674) time: 0.8698 data: 0.0005 max mem: 29859 [12:01:46.894150] Epoch: [275] Total time: 0:12:20 (0.8714 s / it) [12:01:46.914073] Averaged stats: lr: 0.001873 loss: 0.0174 (0.0180) loss_rec_all: 0.0538 (0.0542) loss_rec_sfr: 0.0657 (0.0763) loss_cl: -0.3676 (-0.3673) [12:01:46.925708] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [12:01:51.352379] Epoch: [276] [ 0/850] eta: 1:02:41 lr: 0.001873 loss: 0.0198 (0.0198) loss_rec_all: 0.0560 (0.0560) loss_rec_sfr: 0.0943 (0.0943) loss_cl: -0.3684 (-0.3684) time: 4.4259 data: 3.5666 max mem: 29859 [12:02:08.605362] Epoch: [276] [ 20/850] eta: 0:14:16 lr: 0.001873 loss: 0.0190 (0.0191) loss_rec_all: 0.0549 (0.0552) loss_rec_sfr: 0.0839 (0.0869) loss_cl: -0.3675 (-0.3675) time: 0.8626 data: 0.0002 max mem: 29859 [12:02:25.907646] Epoch: [276] [ 40/850] eta: 0:12:50 lr: 0.001873 loss: 0.0186 (0.0193) loss_rec_all: 0.0544 (0.0554) loss_rec_sfr: 0.0820 (0.0850) loss_cl: -0.3673 (-0.3673) time: 0.8651 data: 0.0002 max mem: 29859 [12:02:43.256394] Epoch: [276] [ 60/850] eta: 0:12:09 lr: 0.001873 loss: 0.0172 (0.0187) loss_rec_all: 0.0534 (0.0548) loss_rec_sfr: 0.0768 (0.0841) loss_cl: -0.3669 (-0.3672) time: 0.8674 data: 0.0003 max mem: 29859 [12:03:00.574232] Epoch: [276] [ 80/850] eta: 0:11:40 lr: 0.001872 loss: 0.0153 (0.0180) loss_rec_all: 0.0515 (0.0542) loss_rec_sfr: 0.0537 (0.0787) loss_cl: -0.3667 (-0.3671) time: 0.8658 data: 0.0002 max mem: 29859 [12:03:17.848323] Epoch: [276] [100/850] eta: 0:11:15 lr: 0.001872 loss: 0.0169 (0.0179) loss_rec_all: 0.0532 (0.0541) loss_rec_sfr: 0.0608 (0.0789) loss_cl: -0.3665 (-0.3669) time: 0.8637 data: 0.0002 max mem: 29859 [12:03:35.279786] Epoch: [276] [120/850] eta: 0:10:53 lr: 0.001872 loss: 0.0163 (0.0178) loss_rec_all: 0.0525 (0.0539) loss_rec_sfr: 0.0594 (0.0779) loss_cl: -0.3667 (-0.3669) time: 0.8715 data: 0.0003 max mem: 29859 [12:03:52.572664] Epoch: [276] [140/850] eta: 0:10:32 lr: 0.001872 loss: 0.0166 (0.0177) loss_rec_all: 0.0527 (0.0538) loss_rec_sfr: 0.0773 (0.0784) loss_cl: -0.3677 (-0.3670) time: 0.8646 data: 0.0002 max mem: 29859 [12:04:09.893083] Epoch: [276] [160/850] eta: 0:10:12 lr: 0.001872 loss: 0.0172 (0.0176) loss_rec_all: 0.0533 (0.0538) loss_rec_sfr: 0.0913 (0.0792) loss_cl: -0.3682 (-0.3672) time: 0.8660 data: 0.0002 max mem: 29859 [12:04:27.250625] Epoch: [276] [180/850] eta: 0:09:53 lr: 0.001872 loss: 0.0163 (0.0175) loss_rec_all: 0.0528 (0.0537) loss_rec_sfr: 0.0539 (0.0781) loss_cl: -0.3684 (-0.3673) time: 0.8678 data: 0.0002 max mem: 29859 [12:04:44.589368] Epoch: [276] [200/850] eta: 0:09:34 lr: 0.001872 loss: 0.0168 (0.0175) loss_rec_all: 0.0530 (0.0537) loss_rec_sfr: 0.0637 (0.0779) loss_cl: -0.3680 (-0.3674) time: 0.8669 data: 0.0002 max mem: 29859 [12:05:01.873377] Epoch: [276] [220/850] eta: 0:09:15 lr: 0.001872 loss: 0.0185 (0.0177) loss_rec_all: 0.0546 (0.0539) loss_rec_sfr: 0.0827 (0.0787) loss_cl: -0.3674 (-0.3674) time: 0.8642 data: 0.0002 max mem: 29859 [12:05:19.234569] Epoch: [276] [240/850] eta: 0:08:57 lr: 0.001872 loss: 0.0199 (0.0178) loss_rec_all: 0.0559 (0.0540) loss_rec_sfr: 0.0833 (0.0797) loss_cl: -0.3672 (-0.3674) time: 0.8680 data: 0.0002 max mem: 29859 [12:05:36.556175] Epoch: [276] [260/850] eta: 0:08:39 lr: 0.001872 loss: 0.0173 (0.0179) loss_rec_all: 0.0537 (0.0540) loss_rec_sfr: 0.0632 (0.0794) loss_cl: -0.3674 (-0.3673) time: 0.8660 data: 0.0002 max mem: 29859 [12:05:53.891992] Epoch: [276] [280/850] eta: 0:08:20 lr: 0.001872 loss: 0.0163 (0.0178) loss_rec_all: 0.0527 (0.0540) loss_rec_sfr: 0.0521 (0.0784) loss_cl: -0.3670 (-0.3673) time: 0.8667 data: 0.0002 max mem: 29859 [12:06:11.205280] Epoch: [276] [300/850] eta: 0:08:02 lr: 0.001871 loss: 0.0173 (0.0178) loss_rec_all: 0.0535 (0.0540) loss_rec_sfr: 0.0715 (0.0787) loss_cl: -0.3677 (-0.3673) time: 0.8656 data: 0.0002 max mem: 29859 [12:06:28.599586] Epoch: [276] [320/850] eta: 0:07:45 lr: 0.001871 loss: 0.0158 (0.0178) loss_rec_all: 0.0521 (0.0540) loss_rec_sfr: 0.0534 (0.0776) loss_cl: -0.3679 (-0.3673) time: 0.8697 data: 0.0003 max mem: 29859 [12:06:45.895512] Epoch: [276] [340/850] eta: 0:07:27 lr: 0.001871 loss: 0.0160 (0.0177) loss_rec_all: 0.0523 (0.0539) loss_rec_sfr: 0.0538 (0.0766) loss_cl: -0.3673 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [12:07:03.230794] Epoch: [276] [360/850] eta: 0:07:09 lr: 0.001871 loss: 0.0153 (0.0176) loss_rec_all: 0.0516 (0.0538) loss_rec_sfr: 0.0577 (0.0766) loss_cl: -0.3672 (-0.3673) time: 0.8667 data: 0.0002 max mem: 29859 [12:07:20.614446] Epoch: [276] [380/850] eta: 0:06:51 lr: 0.001871 loss: 0.0162 (0.0176) loss_rec_all: 0.0526 (0.0537) loss_rec_sfr: 0.0535 (0.0762) loss_cl: -0.3672 (-0.3673) time: 0.8691 data: 0.0003 max mem: 29859 [12:07:37.932670] Epoch: [276] [400/850] eta: 0:06:33 lr: 0.001871 loss: 0.0160 (0.0175) loss_rec_all: 0.0522 (0.0537) loss_rec_sfr: 0.0618 (0.0760) loss_cl: -0.3675 (-0.3673) time: 0.8659 data: 0.0002 max mem: 29859 [12:07:55.224550] Epoch: [276] [420/850] eta: 0:06:16 lr: 0.001871 loss: 0.0172 (0.0176) loss_rec_all: 0.0536 (0.0538) loss_rec_sfr: 0.0635 (0.0759) loss_cl: -0.3678 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [12:08:12.646445] Epoch: [276] [440/850] eta: 0:05:58 lr: 0.001871 loss: 0.0178 (0.0176) loss_rec_all: 0.0542 (0.0538) loss_rec_sfr: 0.0765 (0.0760) loss_cl: -0.3676 (-0.3673) time: 0.8710 data: 0.0003 max mem: 29859 [12:08:29.942810] Epoch: [276] [460/850] eta: 0:05:40 lr: 0.001871 loss: 0.0185 (0.0177) loss_rec_all: 0.0545 (0.0539) loss_rec_sfr: 0.0791 (0.0762) loss_cl: -0.3673 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [12:08:47.277141] Epoch: [276] [480/850] eta: 0:05:23 lr: 0.001871 loss: 0.0173 (0.0177) loss_rec_all: 0.0533 (0.0539) loss_rec_sfr: 0.0768 (0.0763) loss_cl: -0.3672 (-0.3673) time: 0.8667 data: 0.0002 max mem: 29859 [12:09:04.637515] Epoch: [276] [500/850] eta: 0:05:05 lr: 0.001870 loss: 0.0167 (0.0177) loss_rec_all: 0.0529 (0.0539) loss_rec_sfr: 0.0564 (0.0760) loss_cl: -0.3673 (-0.3673) time: 0.8680 data: 0.0003 max mem: 29859 [12:09:21.984990] Epoch: [276] [520/850] eta: 0:04:48 lr: 0.001870 loss: 0.0183 (0.0177) loss_rec_all: 0.0544 (0.0539) loss_rec_sfr: 0.0625 (0.0758) loss_cl: -0.3676 (-0.3673) time: 0.8673 data: 0.0002 max mem: 29859 [12:09:39.284505] Epoch: [276] [540/850] eta: 0:04:30 lr: 0.001870 loss: 0.0176 (0.0177) loss_rec_all: 0.0536 (0.0539) loss_rec_sfr: 0.0902 (0.0759) loss_cl: -0.3673 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [12:09:56.668318] Epoch: [276] [560/850] eta: 0:04:13 lr: 0.001870 loss: 0.0166 (0.0177) loss_rec_all: 0.0529 (0.0539) loss_rec_sfr: 0.0535 (0.0755) loss_cl: -0.3673 (-0.3673) time: 0.8690 data: 0.0003 max mem: 29859 [12:10:14.046833] Epoch: [276] [580/850] eta: 0:03:55 lr: 0.001870 loss: 0.0169 (0.0176) loss_rec_all: 0.0532 (0.0538) loss_rec_sfr: 0.0882 (0.0757) loss_cl: -0.3676 (-0.3673) time: 0.8688 data: 0.0003 max mem: 29859 [12:10:31.368117] Epoch: [276] [600/850] eta: 0:03:38 lr: 0.001870 loss: 0.0160 (0.0176) loss_rec_all: 0.0522 (0.0538) loss_rec_sfr: 0.0599 (0.0756) loss_cl: -0.3673 (-0.3673) time: 0.8660 data: 0.0002 max mem: 29859 [12:10:48.689220] Epoch: [276] [620/850] eta: 0:03:20 lr: 0.001870 loss: 0.0166 (0.0176) loss_rec_all: 0.0526 (0.0538) loss_rec_sfr: 0.0573 (0.0755) loss_cl: -0.3675 (-0.3673) time: 0.8660 data: 0.0002 max mem: 29859 [12:11:06.088677] Epoch: [276] [640/850] eta: 0:03:03 lr: 0.001870 loss: 0.0168 (0.0176) loss_rec_all: 0.0531 (0.0538) loss_rec_sfr: 0.0615 (0.0754) loss_cl: -0.3671 (-0.3673) time: 0.8699 data: 0.0003 max mem: 29859 [12:11:23.370218] Epoch: [276] [660/850] eta: 0:02:45 lr: 0.001870 loss: 0.0173 (0.0176) loss_rec_all: 0.0534 (0.0538) loss_rec_sfr: 0.0600 (0.0755) loss_cl: -0.3672 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [12:11:40.760895] Epoch: [276] [680/850] eta: 0:02:28 lr: 0.001870 loss: 0.0154 (0.0175) loss_rec_all: 0.0517 (0.0538) loss_rec_sfr: 0.0564 (0.0753) loss_cl: -0.3670 (-0.3673) time: 0.8695 data: 0.0002 max mem: 29859 [12:11:58.100106] Epoch: [276] [700/850] eta: 0:02:10 lr: 0.001869 loss: 0.0161 (0.0175) loss_rec_all: 0.0525 (0.0537) loss_rec_sfr: 0.0756 (0.0753) loss_cl: -0.3674 (-0.3673) time: 0.8669 data: 0.0003 max mem: 29859 [12:12:15.431383] Epoch: [276] [720/850] eta: 0:01:53 lr: 0.001869 loss: 0.0176 (0.0176) loss_rec_all: 0.0535 (0.0538) loss_rec_sfr: 0.0801 (0.0756) loss_cl: -0.3672 (-0.3673) time: 0.8665 data: 0.0002 max mem: 29859 [12:12:32.728754] Epoch: [276] [740/850] eta: 0:01:35 lr: 0.001869 loss: 0.0192 (0.0176) loss_rec_all: 0.0553 (0.0538) loss_rec_sfr: 0.0821 (0.0759) loss_cl: -0.3676 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [12:12:50.143101] Epoch: [276] [760/850] eta: 0:01:18 lr: 0.001869 loss: 0.0180 (0.0176) loss_rec_all: 0.0540 (0.0538) loss_rec_sfr: 0.0782 (0.0761) loss_cl: -0.3677 (-0.3673) time: 0.8705 data: 0.0004 max mem: 29859 [12:13:07.443516] Epoch: [276] [780/850] eta: 0:01:00 lr: 0.001869 loss: 0.0181 (0.0176) loss_rec_all: 0.0541 (0.0538) loss_rec_sfr: 0.0601 (0.0761) loss_cl: -0.3677 (-0.3673) time: 0.8650 data: 0.0003 max mem: 29859 [12:13:24.765557] Epoch: [276] [800/850] eta: 0:00:43 lr: 0.001869 loss: 0.0184 (0.0177) loss_rec_all: 0.0544 (0.0539) loss_rec_sfr: 0.0790 (0.0762) loss_cl: -0.3674 (-0.3673) time: 0.8660 data: 0.0002 max mem: 29859 [12:13:42.142464] Epoch: [276] [820/850] eta: 0:00:26 lr: 0.001869 loss: 0.0200 (0.0177) loss_rec_all: 0.0561 (0.0539) loss_rec_sfr: 0.0787 (0.0764) loss_cl: -0.3672 (-0.3673) time: 0.8688 data: 0.0003 max mem: 29859 [12:13:59.498458] Epoch: [276] [840/850] eta: 0:00:08 lr: 0.001869 loss: 0.0184 (0.0177) loss_rec_all: 0.0545 (0.0539) loss_rec_sfr: 0.0713 (0.0765) loss_cl: -0.3673 (-0.3673) time: 0.8677 data: 0.0006 max mem: 29859 [12:14:07.281200] Epoch: [276] [849/850] eta: 0:00:00 lr: 0.001869 loss: 0.0200 (0.0178) loss_rec_all: 0.0561 (0.0540) loss_rec_sfr: 0.0731 (0.0767) loss_cl: -0.3670 (-0.3673) time: 0.8661 data: 0.0005 max mem: 29859 [12:14:07.448139] Epoch: [276] Total time: 0:12:20 (0.8712 s / it) [12:14:07.465459] Averaged stats: lr: 0.001869 loss: 0.0200 (0.0179) loss_rec_all: 0.0561 (0.0540) loss_rec_sfr: 0.0731 (0.0771) loss_cl: -0.3670 (-0.3673) [12:14:07.475664] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [12:14:12.019524] Epoch: [277] [ 0/850] eta: 1:04:21 lr: 0.001869 loss: 0.0188 (0.0188) loss_rec_all: 0.0551 (0.0551) loss_rec_sfr: 0.0575 (0.0575) loss_cl: -0.3670 (-0.3670) time: 4.5429 data: 3.6859 max mem: 29859 [12:14:29.317077] Epoch: [277] [ 20/850] eta: 0:14:23 lr: 0.001869 loss: 0.0176 (0.0188) loss_rec_all: 0.0539 (0.0550) loss_rec_sfr: 0.0578 (0.0738) loss_cl: -0.3671 (-0.3671) time: 0.8647 data: 0.0004 max mem: 29859 [12:14:46.716660] Epoch: [277] [ 40/850] eta: 0:12:55 lr: 0.001869 loss: 0.0178 (0.0189) loss_rec_all: 0.0541 (0.0551) loss_rec_sfr: 0.0692 (0.0752) loss_cl: -0.3670 (-0.3670) time: 0.8699 data: 0.0004 max mem: 29859 [12:15:03.989673] Epoch: [277] [ 60/850] eta: 0:12:11 lr: 0.001868 loss: 0.0171 (0.0189) loss_rec_all: 0.0534 (0.0551) loss_rec_sfr: 0.0624 (0.0747) loss_cl: -0.3672 (-0.3670) time: 0.8636 data: 0.0003 max mem: 29859 [12:15:21.385937] Epoch: [277] [ 80/850] eta: 0:11:42 lr: 0.001868 loss: 0.0182 (0.0189) loss_rec_all: 0.0542 (0.0550) loss_rec_sfr: 0.0836 (0.0782) loss_cl: -0.3671 (-0.3670) time: 0.8697 data: 0.0003 max mem: 29859 [12:15:38.741934] Epoch: [277] [100/850] eta: 0:11:17 lr: 0.001868 loss: 0.0171 (0.0187) loss_rec_all: 0.0532 (0.0548) loss_rec_sfr: 0.0806 (0.0788) loss_cl: -0.3674 (-0.3671) time: 0.8677 data: 0.0003 max mem: 29859 [12:15:56.057824] Epoch: [277] [120/850] eta: 0:10:55 lr: 0.001868 loss: 0.0167 (0.0184) loss_rec_all: 0.0530 (0.0546) loss_rec_sfr: 0.0597 (0.0784) loss_cl: -0.3672 (-0.3671) time: 0.8657 data: 0.0002 max mem: 29859 [12:16:13.342421] Epoch: [277] [140/850] eta: 0:10:33 lr: 0.001868 loss: 0.0166 (0.0182) loss_rec_all: 0.0527 (0.0544) loss_rec_sfr: 0.0594 (0.0770) loss_cl: -0.3670 (-0.3671) time: 0.8642 data: 0.0002 max mem: 29859 [12:16:30.746033] Epoch: [277] [160/850] eta: 0:10:13 lr: 0.001868 loss: 0.0164 (0.0180) loss_rec_all: 0.0527 (0.0542) loss_rec_sfr: 0.0584 (0.0766) loss_cl: -0.3674 (-0.3671) time: 0.8701 data: 0.0003 max mem: 29859 [12:16:48.011844] Epoch: [277] [180/850] eta: 0:09:54 lr: 0.001868 loss: 0.0179 (0.0180) loss_rec_all: 0.0542 (0.0542) loss_rec_sfr: 0.0734 (0.0768) loss_cl: -0.3680 (-0.3672) time: 0.8632 data: 0.0002 max mem: 29859 [12:17:05.313900] Epoch: [277] [200/850] eta: 0:09:35 lr: 0.001868 loss: 0.0163 (0.0180) loss_rec_all: 0.0527 (0.0542) loss_rec_sfr: 0.0596 (0.0768) loss_cl: -0.3683 (-0.3673) time: 0.8651 data: 0.0002 max mem: 29859 [12:17:22.673987] Epoch: [277] [220/850] eta: 0:09:16 lr: 0.001868 loss: 0.0175 (0.0179) loss_rec_all: 0.0538 (0.0541) loss_rec_sfr: 0.0768 (0.0763) loss_cl: -0.3677 (-0.3673) time: 0.8679 data: 0.0003 max mem: 29859 [12:17:39.991266] Epoch: [277] [240/850] eta: 0:08:57 lr: 0.001868 loss: 0.0172 (0.0179) loss_rec_all: 0.0535 (0.0541) loss_rec_sfr: 0.0782 (0.0763) loss_cl: -0.3674 (-0.3673) time: 0.8658 data: 0.0002 max mem: 29859 [12:17:57.242983] Epoch: [277] [260/850] eta: 0:08:39 lr: 0.001868 loss: 0.0162 (0.0178) loss_rec_all: 0.0526 (0.0540) loss_rec_sfr: 0.0740 (0.0761) loss_cl: -0.3677 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [12:18:14.645005] Epoch: [277] [280/850] eta: 0:08:21 lr: 0.001867 loss: 0.0166 (0.0178) loss_rec_all: 0.0527 (0.0540) loss_rec_sfr: 0.0793 (0.0761) loss_cl: -0.3671 (-0.3673) time: 0.8700 data: 0.0003 max mem: 29859 [12:18:31.920217] Epoch: [277] [300/850] eta: 0:08:03 lr: 0.001867 loss: 0.0166 (0.0178) loss_rec_all: 0.0525 (0.0540) loss_rec_sfr: 0.0593 (0.0757) loss_cl: -0.3665 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [12:18:49.188402] Epoch: [277] [320/850] eta: 0:07:45 lr: 0.001867 loss: 0.0173 (0.0178) loss_rec_all: 0.0535 (0.0540) loss_rec_sfr: 0.0739 (0.0755) loss_cl: -0.3660 (-0.3672) time: 0.8634 data: 0.0002 max mem: 29859 [12:19:06.471816] Epoch: [277] [340/850] eta: 0:07:27 lr: 0.001867 loss: 0.0159 (0.0177) loss_rec_all: 0.0520 (0.0539) loss_rec_sfr: 0.0864 (0.0759) loss_cl: -0.3668 (-0.3672) time: 0.8641 data: 0.0003 max mem: 29859 [12:19:23.815452] Epoch: [277] [360/850] eta: 0:07:09 lr: 0.001867 loss: 0.0168 (0.0177) loss_rec_all: 0.0531 (0.0539) loss_rec_sfr: 0.0604 (0.0759) loss_cl: -0.3678 (-0.3672) time: 0.8671 data: 0.0002 max mem: 29859 [12:19:41.048075] Epoch: [277] [380/850] eta: 0:06:51 lr: 0.001867 loss: 0.0161 (0.0177) loss_rec_all: 0.0525 (0.0539) loss_rec_sfr: 0.0657 (0.0759) loss_cl: -0.3681 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [12:19:58.352197] Epoch: [277] [400/850] eta: 0:06:33 lr: 0.001867 loss: 0.0163 (0.0176) loss_rec_all: 0.0525 (0.0538) loss_rec_sfr: 0.0593 (0.0761) loss_cl: -0.3679 (-0.3673) time: 0.8651 data: 0.0002 max mem: 29859 [12:20:15.667171] Epoch: [277] [420/850] eta: 0:06:16 lr: 0.001867 loss: 0.0172 (0.0177) loss_rec_all: 0.0535 (0.0538) loss_rec_sfr: 0.0752 (0.0760) loss_cl: -0.3672 (-0.3673) time: 0.8657 data: 0.0003 max mem: 29859 [12:20:32.945368] Epoch: [277] [440/850] eta: 0:05:58 lr: 0.001867 loss: 0.0176 (0.0176) loss_rec_all: 0.0536 (0.0538) loss_rec_sfr: 0.0891 (0.0765) loss_cl: -0.3668 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [12:20:50.194394] Epoch: [277] [460/850] eta: 0:05:40 lr: 0.001867 loss: 0.0167 (0.0176) loss_rec_all: 0.0528 (0.0538) loss_rec_sfr: 0.0581 (0.0763) loss_cl: -0.3675 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [12:21:07.590431] Epoch: [277] [480/850] eta: 0:05:23 lr: 0.001866 loss: 0.0172 (0.0176) loss_rec_all: 0.0535 (0.0538) loss_rec_sfr: 0.0780 (0.0767) loss_cl: -0.3680 (-0.3673) time: 0.8697 data: 0.0003 max mem: 29859 [12:21:24.828691] Epoch: [277] [500/850] eta: 0:05:05 lr: 0.001866 loss: 0.0160 (0.0176) loss_rec_all: 0.0523 (0.0537) loss_rec_sfr: 0.0571 (0.0766) loss_cl: -0.3680 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [12:21:42.100191] Epoch: [277] [520/850] eta: 0:04:47 lr: 0.001866 loss: 0.0157 (0.0175) loss_rec_all: 0.0519 (0.0537) loss_rec_sfr: 0.0814 (0.0766) loss_cl: -0.3678 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [12:21:59.430876] Epoch: [277] [540/850] eta: 0:04:30 lr: 0.001866 loss: 0.0175 (0.0175) loss_rec_all: 0.0537 (0.0537) loss_rec_sfr: 0.0562 (0.0766) loss_cl: -0.3679 (-0.3673) time: 0.8665 data: 0.0003 max mem: 29859 [12:22:16.717347] Epoch: [277] [560/850] eta: 0:04:12 lr: 0.001866 loss: 0.0174 (0.0176) loss_rec_all: 0.0534 (0.0538) loss_rec_sfr: 0.0807 (0.0768) loss_cl: -0.3671 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [12:22:33.974553] Epoch: [277] [580/850] eta: 0:03:55 lr: 0.001866 loss: 0.0185 (0.0176) loss_rec_all: 0.0546 (0.0538) loss_rec_sfr: 0.0816 (0.0770) loss_cl: -0.3671 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [12:22:51.342704] Epoch: [277] [600/850] eta: 0:03:37 lr: 0.001866 loss: 0.0177 (0.0176) loss_rec_all: 0.0539 (0.0538) loss_rec_sfr: 0.0921 (0.0773) loss_cl: -0.3666 (-0.3673) time: 0.8683 data: 0.0002 max mem: 29859 [12:23:08.617662] Epoch: [277] [620/850] eta: 0:03:20 lr: 0.001866 loss: 0.0182 (0.0176) loss_rec_all: 0.0542 (0.0538) loss_rec_sfr: 0.0615 (0.0772) loss_cl: -0.3671 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [12:23:25.892212] Epoch: [277] [640/850] eta: 0:03:02 lr: 0.001866 loss: 0.0183 (0.0177) loss_rec_all: 0.0544 (0.0539) loss_rec_sfr: 0.0676 (0.0772) loss_cl: -0.3675 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [12:23:43.169231] Epoch: [277] [660/850] eta: 0:02:45 lr: 0.001866 loss: 0.0178 (0.0177) loss_rec_all: 0.0542 (0.0539) loss_rec_sfr: 0.0619 (0.0771) loss_cl: -0.3678 (-0.3673) time: 0.8638 data: 0.0003 max mem: 29859 [12:24:00.535548] Epoch: [277] [680/850] eta: 0:02:28 lr: 0.001865 loss: 0.0179 (0.0177) loss_rec_all: 0.0542 (0.0539) loss_rec_sfr: 0.0562 (0.0769) loss_cl: -0.3674 (-0.3673) time: 0.8683 data: 0.0003 max mem: 29859 [12:24:17.768137] Epoch: [277] [700/850] eta: 0:02:10 lr: 0.001865 loss: 0.0198 (0.0178) loss_rec_all: 0.0561 (0.0540) loss_rec_sfr: 0.0607 (0.0768) loss_cl: -0.3669 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [12:24:35.097655] Epoch: [277] [720/850] eta: 0:01:53 lr: 0.001865 loss: 0.0206 (0.0179) loss_rec_all: 0.0566 (0.0541) loss_rec_sfr: 0.0847 (0.0771) loss_cl: -0.3670 (-0.3673) time: 0.8664 data: 0.0003 max mem: 29859 [12:24:52.432557] Epoch: [277] [740/850] eta: 0:01:35 lr: 0.001865 loss: 0.0181 (0.0179) loss_rec_all: 0.0541 (0.0541) loss_rec_sfr: 0.0642 (0.0770) loss_cl: -0.3667 (-0.3673) time: 0.8667 data: 0.0003 max mem: 29859 [12:25:09.709179] Epoch: [277] [760/850] eta: 0:01:18 lr: 0.001865 loss: 0.0178 (0.0179) loss_rec_all: 0.0541 (0.0541) loss_rec_sfr: 0.0568 (0.0770) loss_cl: -0.3671 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [12:25:26.956499] Epoch: [277] [780/850] eta: 0:01:00 lr: 0.001865 loss: 0.0183 (0.0179) loss_rec_all: 0.0545 (0.0541) loss_rec_sfr: 0.0786 (0.0771) loss_cl: -0.3679 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [12:25:44.324176] Epoch: [277] [800/850] eta: 0:00:43 lr: 0.001865 loss: 0.0176 (0.0179) loss_rec_all: 0.0541 (0.0541) loss_rec_sfr: 0.0792 (0.0772) loss_cl: -0.3684 (-0.3673) time: 0.8683 data: 0.0003 max mem: 29859 [12:26:01.564735] Epoch: [277] [820/850] eta: 0:00:26 lr: 0.001865 loss: 0.0168 (0.0179) loss_rec_all: 0.0532 (0.0541) loss_rec_sfr: 0.0580 (0.0771) loss_cl: -0.3679 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [12:26:18.837858] Epoch: [277] [840/850] eta: 0:00:08 lr: 0.001865 loss: 0.0169 (0.0179) loss_rec_all: 0.0530 (0.0541) loss_rec_sfr: 0.0767 (0.0772) loss_cl: -0.3671 (-0.3673) time: 0.8636 data: 0.0005 max mem: 29859 [12:26:26.632670] Epoch: [277] [849/850] eta: 0:00:00 lr: 0.001865 loss: 0.0165 (0.0179) loss_rec_all: 0.0526 (0.0541) loss_rec_sfr: 0.0604 (0.0771) loss_cl: -0.3670 (-0.3673) time: 0.8654 data: 0.0005 max mem: 29859 [12:26:26.788996] Epoch: [277] Total time: 0:12:19 (0.8698 s / it) [12:26:26.797520] Averaged stats: lr: 0.001865 loss: 0.0165 (0.0179) loss_rec_all: 0.0526 (0.0541) loss_rec_sfr: 0.0604 (0.0764) loss_cl: -0.3670 (-0.3673) [12:26:26.816493] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [12:26:31.632585] Epoch: [278] [ 0/850] eta: 1:08:12 lr: 0.001865 loss: 0.0189 (0.0189) loss_rec_all: 0.0548 (0.0548) loss_rec_sfr: 0.1128 (0.1128) loss_cl: -0.3672 (-0.3672) time: 4.8152 data: 3.3131 max mem: 29859 [12:26:48.818208] Epoch: [278] [ 20/850] eta: 0:14:29 lr: 0.001865 loss: 0.0163 (0.0175) loss_rec_all: 0.0523 (0.0536) loss_rec_sfr: 0.0602 (0.0713) loss_cl: -0.3667 (-0.3667) time: 0.8592 data: 0.0002 max mem: 29859 [12:27:06.063011] Epoch: [278] [ 40/850] eta: 0:12:55 lr: 0.001864 loss: 0.0163 (0.0171) loss_rec_all: 0.0525 (0.0533) loss_rec_sfr: 0.0569 (0.0716) loss_cl: -0.3671 (-0.3669) time: 0.8622 data: 0.0002 max mem: 29859 [12:27:23.369510] Epoch: [278] [ 60/850] eta: 0:12:12 lr: 0.001864 loss: 0.0161 (0.0171) loss_rec_all: 0.0523 (0.0533) loss_rec_sfr: 0.0802 (0.0739) loss_cl: -0.3674 (-0.3670) time: 0.8653 data: 0.0003 max mem: 29859 [12:27:40.695587] Epoch: [278] [ 80/850] eta: 0:11:42 lr: 0.001864 loss: 0.0159 (0.0171) loss_rec_all: 0.0522 (0.0533) loss_rec_sfr: 0.0554 (0.0724) loss_cl: -0.3673 (-0.3671) time: 0.8662 data: 0.0003 max mem: 29859 [12:27:57.941818] Epoch: [278] [100/850] eta: 0:11:16 lr: 0.001864 loss: 0.0158 (0.0170) loss_rec_all: 0.0518 (0.0532) loss_rec_sfr: 0.0781 (0.0734) loss_cl: -0.3673 (-0.3671) time: 0.8623 data: 0.0002 max mem: 29859 [12:28:15.275188] Epoch: [278] [120/850] eta: 0:10:54 lr: 0.001864 loss: 0.0173 (0.0171) loss_rec_all: 0.0535 (0.0533) loss_rec_sfr: 0.0779 (0.0745) loss_cl: -0.3676 (-0.3672) time: 0.8666 data: 0.0004 max mem: 29859 [12:28:32.562270] Epoch: [278] [140/850] eta: 0:10:33 lr: 0.001864 loss: 0.0162 (0.0170) loss_rec_all: 0.0522 (0.0532) loss_rec_sfr: 0.0697 (0.0746) loss_cl: -0.3677 (-0.3672) time: 0.8643 data: 0.0003 max mem: 29859 [12:28:49.851093] Epoch: [278] [160/850] eta: 0:10:12 lr: 0.001864 loss: 0.0163 (0.0170) loss_rec_all: 0.0525 (0.0532) loss_rec_sfr: 0.0600 (0.0747) loss_cl: -0.3673 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [12:29:07.126192] Epoch: [278] [180/850] eta: 0:09:53 lr: 0.001864 loss: 0.0157 (0.0169) loss_rec_all: 0.0520 (0.0531) loss_rec_sfr: 0.0611 (0.0742) loss_cl: -0.3674 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [12:29:24.493886] Epoch: [278] [200/850] eta: 0:09:34 lr: 0.001864 loss: 0.0156 (0.0168) loss_rec_all: 0.0518 (0.0530) loss_rec_sfr: 0.0571 (0.0742) loss_cl: -0.3673 (-0.3673) time: 0.8683 data: 0.0003 max mem: 29859 [12:29:41.754386] Epoch: [278] [220/850] eta: 0:09:15 lr: 0.001864 loss: 0.0162 (0.0168) loss_rec_all: 0.0523 (0.0530) loss_rec_sfr: 0.0745 (0.0745) loss_cl: -0.3672 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [12:29:59.061157] Epoch: [278] [240/850] eta: 0:08:57 lr: 0.001863 loss: 0.0167 (0.0168) loss_rec_all: 0.0527 (0.0530) loss_rec_sfr: 0.0767 (0.0753) loss_cl: -0.3675 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [12:30:16.400795] Epoch: [278] [260/850] eta: 0:08:38 lr: 0.001863 loss: 0.0181 (0.0169) loss_rec_all: 0.0540 (0.0531) loss_rec_sfr: 0.0772 (0.0754) loss_cl: -0.3676 (-0.3673) time: 0.8669 data: 0.0004 max mem: 29859 [12:30:33.691945] Epoch: [278] [280/850] eta: 0:08:20 lr: 0.001863 loss: 0.0168 (0.0170) loss_rec_all: 0.0531 (0.0532) loss_rec_sfr: 0.0790 (0.0758) loss_cl: -0.3676 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [12:30:50.939778] Epoch: [278] [300/850] eta: 0:08:02 lr: 0.001863 loss: 0.0166 (0.0170) loss_rec_all: 0.0531 (0.0532) loss_rec_sfr: 0.0596 (0.0756) loss_cl: -0.3680 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [12:31:08.352703] Epoch: [278] [320/850] eta: 0:07:44 lr: 0.001863 loss: 0.0174 (0.0170) loss_rec_all: 0.0534 (0.0532) loss_rec_sfr: 0.0796 (0.0759) loss_cl: -0.3679 (-0.3674) time: 0.8706 data: 0.0003 max mem: 29859 [12:31:25.605711] Epoch: [278] [340/850] eta: 0:07:26 lr: 0.001863 loss: 0.0167 (0.0171) loss_rec_all: 0.0531 (0.0533) loss_rec_sfr: 0.0596 (0.0759) loss_cl: -0.3677 (-0.3674) time: 0.8626 data: 0.0002 max mem: 29859 [12:31:42.888215] Epoch: [278] [360/850] eta: 0:07:08 lr: 0.001863 loss: 0.0172 (0.0171) loss_rec_all: 0.0534 (0.0533) loss_rec_sfr: 0.0649 (0.0759) loss_cl: -0.3673 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [12:32:00.207336] Epoch: [278] [380/850] eta: 0:06:51 lr: 0.001863 loss: 0.0183 (0.0172) loss_rec_all: 0.0541 (0.0534) loss_rec_sfr: 0.0790 (0.0759) loss_cl: -0.3666 (-0.3673) time: 0.8659 data: 0.0003 max mem: 29859 [12:32:17.531499] Epoch: [278] [400/850] eta: 0:06:33 lr: 0.001863 loss: 0.0179 (0.0173) loss_rec_all: 0.0542 (0.0535) loss_rec_sfr: 0.0619 (0.0758) loss_cl: -0.3666 (-0.3673) time: 0.8662 data: 0.0002 max mem: 29859 [12:32:34.777356] Epoch: [278] [420/850] eta: 0:06:15 lr: 0.001863 loss: 0.0182 (0.0174) loss_rec_all: 0.0543 (0.0536) loss_rec_sfr: 0.0624 (0.0761) loss_cl: -0.3669 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [12:32:52.100453] Epoch: [278] [440/850] eta: 0:05:58 lr: 0.001862 loss: 0.0184 (0.0174) loss_rec_all: 0.0544 (0.0536) loss_rec_sfr: 0.0760 (0.0763) loss_cl: -0.3677 (-0.3673) time: 0.8661 data: 0.0003 max mem: 29859 [12:33:09.379151] Epoch: [278] [460/850] eta: 0:05:40 lr: 0.001862 loss: 0.0179 (0.0175) loss_rec_all: 0.0542 (0.0537) loss_rec_sfr: 0.0795 (0.0763) loss_cl: -0.3682 (-0.3673) time: 0.8639 data: 0.0003 max mem: 29859 [12:33:26.667854] Epoch: [278] [480/850] eta: 0:05:22 lr: 0.001862 loss: 0.0177 (0.0175) loss_rec_all: 0.0538 (0.0537) loss_rec_sfr: 0.0824 (0.0768) loss_cl: -0.3681 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [12:33:43.933915] Epoch: [278] [500/850] eta: 0:05:05 lr: 0.001862 loss: 0.0174 (0.0175) loss_rec_all: 0.0535 (0.0537) loss_rec_sfr: 0.0787 (0.0770) loss_cl: -0.3675 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [12:34:01.409711] Epoch: [278] [520/850] eta: 0:04:47 lr: 0.001862 loss: 0.0196 (0.0176) loss_rec_all: 0.0554 (0.0538) loss_rec_sfr: 0.0784 (0.0775) loss_cl: -0.3670 (-0.3673) time: 0.8737 data: 0.0003 max mem: 29859 [12:34:18.654531] Epoch: [278] [540/850] eta: 0:04:30 lr: 0.001862 loss: 0.0171 (0.0176) loss_rec_all: 0.0533 (0.0538) loss_rec_sfr: 0.0625 (0.0775) loss_cl: -0.3663 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [12:34:35.950711] Epoch: [278] [560/850] eta: 0:04:12 lr: 0.001862 loss: 0.0173 (0.0177) loss_rec_all: 0.0535 (0.0538) loss_rec_sfr: 0.0650 (0.0775) loss_cl: -0.3667 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [12:34:53.278416] Epoch: [278] [580/850] eta: 0:03:55 lr: 0.001862 loss: 0.0162 (0.0176) loss_rec_all: 0.0522 (0.0538) loss_rec_sfr: 0.0619 (0.0773) loss_cl: -0.3672 (-0.3673) time: 0.8663 data: 0.0003 max mem: 29859 [12:35:10.563903] Epoch: [278] [600/850] eta: 0:03:37 lr: 0.001862 loss: 0.0170 (0.0176) loss_rec_all: 0.0534 (0.0538) loss_rec_sfr: 0.0594 (0.0771) loss_cl: -0.3676 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [12:35:27.823321] Epoch: [278] [620/850] eta: 0:03:20 lr: 0.001862 loss: 0.0169 (0.0176) loss_rec_all: 0.0530 (0.0538) loss_rec_sfr: 0.0795 (0.0773) loss_cl: -0.3681 (-0.3673) time: 0.8629 data: 0.0003 max mem: 29859 [12:35:45.204021] Epoch: [278] [640/850] eta: 0:03:02 lr: 0.001862 loss: 0.0171 (0.0176) loss_rec_all: 0.0535 (0.0538) loss_rec_sfr: 0.0791 (0.0772) loss_cl: -0.3679 (-0.3673) time: 0.8690 data: 0.0003 max mem: 29859 [12:36:02.444324] Epoch: [278] [660/850] eta: 0:02:45 lr: 0.001861 loss: 0.0172 (0.0176) loss_rec_all: 0.0537 (0.0538) loss_rec_sfr: 0.0570 (0.0772) loss_cl: -0.3676 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [12:36:19.727980] Epoch: [278] [680/850] eta: 0:02:28 lr: 0.001861 loss: 0.0180 (0.0177) loss_rec_all: 0.0541 (0.0538) loss_rec_sfr: 0.0787 (0.0775) loss_cl: -0.3671 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [12:36:37.036781] Epoch: [278] [700/850] eta: 0:02:10 lr: 0.001861 loss: 0.0175 (0.0177) loss_rec_all: 0.0537 (0.0538) loss_rec_sfr: 0.0594 (0.0774) loss_cl: -0.3673 (-0.3673) time: 0.8654 data: 0.0003 max mem: 29859 [12:36:54.364830] Epoch: [278] [720/850] eta: 0:01:53 lr: 0.001861 loss: 0.0187 (0.0177) loss_rec_all: 0.0548 (0.0539) loss_rec_sfr: 0.0623 (0.0774) loss_cl: -0.3675 (-0.3673) time: 0.8663 data: 0.0003 max mem: 29859 [12:37:11.610840] Epoch: [278] [740/850] eta: 0:01:35 lr: 0.001861 loss: 0.0183 (0.0177) loss_rec_all: 0.0545 (0.0539) loss_rec_sfr: 0.0623 (0.0774) loss_cl: -0.3672 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [12:37:28.977979] Epoch: [278] [760/850] eta: 0:01:18 lr: 0.001861 loss: 0.0170 (0.0177) loss_rec_all: 0.0532 (0.0539) loss_rec_sfr: 0.0601 (0.0772) loss_cl: -0.3674 (-0.3673) time: 0.8683 data: 0.0003 max mem: 29859 [12:37:46.273303] Epoch: [278] [780/850] eta: 0:01:00 lr: 0.001861 loss: 0.0166 (0.0177) loss_rec_all: 0.0527 (0.0539) loss_rec_sfr: 0.0587 (0.0771) loss_cl: -0.3673 (-0.3673) time: 0.8647 data: 0.0003 max mem: 29859 [12:38:03.569242] Epoch: [278] [800/850] eta: 0:00:43 lr: 0.001861 loss: 0.0174 (0.0177) loss_rec_all: 0.0537 (0.0539) loss_rec_sfr: 0.0751 (0.0772) loss_cl: -0.3673 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [12:38:20.841517] Epoch: [278] [820/850] eta: 0:00:26 lr: 0.001861 loss: 0.0166 (0.0177) loss_rec_all: 0.0526 (0.0539) loss_rec_sfr: 0.0835 (0.0772) loss_cl: -0.3664 (-0.3673) time: 0.8635 data: 0.0003 max mem: 29859 [12:38:38.191436] Epoch: [278] [840/850] eta: 0:00:08 lr: 0.001861 loss: 0.0169 (0.0177) loss_rec_all: 0.0531 (0.0539) loss_rec_sfr: 0.0572 (0.0770) loss_cl: -0.3661 (-0.3673) time: 0.8674 data: 0.0005 max mem: 29859 [12:38:45.951616] Epoch: [278] [849/850] eta: 0:00:00 lr: 0.001860 loss: 0.0174 (0.0177) loss_rec_all: 0.0537 (0.0539) loss_rec_sfr: 0.0790 (0.0771) loss_cl: -0.3662 (-0.3673) time: 0.8646 data: 0.0005 max mem: 29859 [12:38:46.103238] Epoch: [278] Total time: 0:12:19 (0.8697 s / it) [12:38:46.105809] Averaged stats: lr: 0.001860 loss: 0.0174 (0.0176) loss_rec_all: 0.0537 (0.0538) loss_rec_sfr: 0.0790 (0.0760) loss_cl: -0.3662 (-0.3673) [12:38:46.117881] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [12:38:50.595380] Epoch: [279] [ 0/850] eta: 1:03:25 lr: 0.001860 loss: 0.0167 (0.0167) loss_rec_all: 0.0529 (0.0529) loss_rec_sfr: 0.0687 (0.0687) loss_cl: -0.3664 (-0.3664) time: 4.4767 data: 3.6166 max mem: 29859 [12:39:07.809801] Epoch: [279] [ 20/850] eta: 0:14:17 lr: 0.001860 loss: 0.0178 (0.0179) loss_rec_all: 0.0538 (0.0541) loss_rec_sfr: 0.0598 (0.0735) loss_cl: -0.3670 (-0.3670) time: 0.8606 data: 0.0002 max mem: 29859 [12:39:25.178982] Epoch: [279] [ 40/850] eta: 0:12:51 lr: 0.001860 loss: 0.0159 (0.0174) loss_rec_all: 0.0521 (0.0536) loss_rec_sfr: 0.0609 (0.0729) loss_cl: -0.3675 (-0.3673) time: 0.8684 data: 0.0004 max mem: 29859 [12:39:42.418477] Epoch: [279] [ 60/850] eta: 0:12:09 lr: 0.001860 loss: 0.0170 (0.0177) loss_rec_all: 0.0534 (0.0539) loss_rec_sfr: 0.0603 (0.0736) loss_cl: -0.3681 (-0.3676) time: 0.8619 data: 0.0002 max mem: 29859 [12:39:59.686612] Epoch: [279] [ 80/850] eta: 0:11:39 lr: 0.001860 loss: 0.0163 (0.0175) loss_rec_all: 0.0526 (0.0537) loss_rec_sfr: 0.0600 (0.0728) loss_cl: -0.3680 (-0.3677) time: 0.8634 data: 0.0002 max mem: 29859 [12:40:16.976623] Epoch: [279] [100/850] eta: 0:11:14 lr: 0.001860 loss: 0.0173 (0.0175) loss_rec_all: 0.0534 (0.0538) loss_rec_sfr: 0.0752 (0.0737) loss_cl: -0.3676 (-0.3677) time: 0.8644 data: 0.0002 max mem: 29859 [12:40:34.287320] Epoch: [279] [120/850] eta: 0:10:52 lr: 0.001860 loss: 0.0168 (0.0175) loss_rec_all: 0.0530 (0.0538) loss_rec_sfr: 0.0904 (0.0760) loss_cl: -0.3673 (-0.3676) time: 0.8655 data: 0.0002 max mem: 29859 [12:40:51.522325] Epoch: [279] [140/850] eta: 0:10:31 lr: 0.001860 loss: 0.0159 (0.0174) loss_rec_all: 0.0523 (0.0536) loss_rec_sfr: 0.0615 (0.0761) loss_cl: -0.3674 (-0.3676) time: 0.8617 data: 0.0002 max mem: 29859 [12:41:08.903284] Epoch: [279] [160/850] eta: 0:10:11 lr: 0.001860 loss: 0.0160 (0.0174) loss_rec_all: 0.0524 (0.0536) loss_rec_sfr: 0.0737 (0.0762) loss_cl: -0.3676 (-0.3676) time: 0.8690 data: 0.0003 max mem: 29859 [12:41:26.174470] Epoch: [279] [180/850] eta: 0:09:52 lr: 0.001860 loss: 0.0167 (0.0173) loss_rec_all: 0.0528 (0.0535) loss_rec_sfr: 0.0565 (0.0762) loss_cl: -0.3672 (-0.3675) time: 0.8635 data: 0.0003 max mem: 29859 [12:41:43.445098] Epoch: [279] [200/850] eta: 0:09:33 lr: 0.001860 loss: 0.0161 (0.0172) loss_rec_all: 0.0522 (0.0534) loss_rec_sfr: 0.0572 (0.0757) loss_cl: -0.3668 (-0.3675) time: 0.8635 data: 0.0002 max mem: 29859 [12:42:00.716813] Epoch: [279] [220/850] eta: 0:09:14 lr: 0.001859 loss: 0.0171 (0.0172) loss_rec_all: 0.0533 (0.0534) loss_rec_sfr: 0.0597 (0.0753) loss_cl: -0.3670 (-0.3674) time: 0.8635 data: 0.0003 max mem: 29859 [12:42:18.053676] Epoch: [279] [240/850] eta: 0:08:56 lr: 0.001859 loss: 0.0168 (0.0172) loss_rec_all: 0.0531 (0.0534) loss_rec_sfr: 0.0575 (0.0752) loss_cl: -0.3665 (-0.3674) time: 0.8668 data: 0.0003 max mem: 29859 [12:42:35.295182] Epoch: [279] [260/850] eta: 0:08:38 lr: 0.001859 loss: 0.0175 (0.0173) loss_rec_all: 0.0535 (0.0535) loss_rec_sfr: 0.0629 (0.0752) loss_cl: -0.3672 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [12:42:52.583234] Epoch: [279] [280/850] eta: 0:08:19 lr: 0.001859 loss: 0.0174 (0.0173) loss_rec_all: 0.0536 (0.0535) loss_rec_sfr: 0.0746 (0.0755) loss_cl: -0.3678 (-0.3674) time: 0.8643 data: 0.0003 max mem: 29859 [12:43:09.924862] Epoch: [279] [300/850] eta: 0:08:02 lr: 0.001859 loss: 0.0153 (0.0172) loss_rec_all: 0.0516 (0.0534) loss_rec_sfr: 0.0543 (0.0750) loss_cl: -0.3675 (-0.3674) time: 0.8670 data: 0.0003 max mem: 29859 [12:43:27.190549] Epoch: [279] [320/850] eta: 0:07:44 lr: 0.001859 loss: 0.0175 (0.0173) loss_rec_all: 0.0536 (0.0535) loss_rec_sfr: 0.0834 (0.0754) loss_cl: -0.3674 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [12:43:44.434966] Epoch: [279] [340/850] eta: 0:07:26 lr: 0.001859 loss: 0.0170 (0.0173) loss_rec_all: 0.0534 (0.0535) loss_rec_sfr: 0.0587 (0.0753) loss_cl: -0.3674 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [12:44:01.825569] Epoch: [279] [360/850] eta: 0:07:08 lr: 0.001859 loss: 0.0182 (0.0173) loss_rec_all: 0.0542 (0.0535) loss_rec_sfr: 0.0958 (0.0762) loss_cl: -0.3675 (-0.3674) time: 0.8695 data: 0.0004 max mem: 29859 [12:44:19.071400] Epoch: [279] [380/850] eta: 0:06:50 lr: 0.001859 loss: 0.0173 (0.0174) loss_rec_all: 0.0536 (0.0536) loss_rec_sfr: 0.0612 (0.0760) loss_cl: -0.3674 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [12:44:36.352434] Epoch: [279] [400/850] eta: 0:06:33 lr: 0.001859 loss: 0.0191 (0.0175) loss_rec_all: 0.0553 (0.0537) loss_rec_sfr: 0.0746 (0.0761) loss_cl: -0.3678 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [12:44:53.655382] Epoch: [279] [420/850] eta: 0:06:15 lr: 0.001858 loss: 0.0187 (0.0176) loss_rec_all: 0.0547 (0.0538) loss_rec_sfr: 0.0830 (0.0765) loss_cl: -0.3675 (-0.3674) time: 0.8651 data: 0.0003 max mem: 29859 [12:45:10.961879] Epoch: [279] [440/850] eta: 0:05:57 lr: 0.001858 loss: 0.0191 (0.0178) loss_rec_all: 0.0551 (0.0540) loss_rec_sfr: 0.0771 (0.0766) loss_cl: -0.3675 (-0.3674) time: 0.8653 data: 0.0002 max mem: 29859 [12:45:28.201124] Epoch: [279] [460/850] eta: 0:05:40 lr: 0.001858 loss: 0.0184 (0.0178) loss_rec_all: 0.0545 (0.0540) loss_rec_sfr: 0.0843 (0.0768) loss_cl: -0.3674 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [12:45:45.524363] Epoch: [279] [480/850] eta: 0:05:22 lr: 0.001858 loss: 0.0173 (0.0179) loss_rec_all: 0.0537 (0.0541) loss_rec_sfr: 0.0620 (0.0767) loss_cl: -0.3675 (-0.3674) time: 0.8661 data: 0.0002 max mem: 29859 [12:46:02.832712] Epoch: [279] [500/850] eta: 0:05:05 lr: 0.001858 loss: 0.0179 (0.0179) loss_rec_all: 0.0541 (0.0541) loss_rec_sfr: 0.0597 (0.0764) loss_cl: -0.3670 (-0.3674) time: 0.8654 data: 0.0003 max mem: 29859 [12:46:20.122289] Epoch: [279] [520/850] eta: 0:04:47 lr: 0.001858 loss: 0.0177 (0.0179) loss_rec_all: 0.0540 (0.0541) loss_rec_sfr: 0.0598 (0.0763) loss_cl: -0.3671 (-0.3674) time: 0.8644 data: 0.0002 max mem: 29859 [12:46:37.387684] Epoch: [279] [540/850] eta: 0:04:30 lr: 0.001858 loss: 0.0178 (0.0179) loss_rec_all: 0.0541 (0.0541) loss_rec_sfr: 0.0619 (0.0762) loss_cl: -0.3675 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [12:46:54.743100] Epoch: [279] [560/850] eta: 0:04:12 lr: 0.001858 loss: 0.0175 (0.0179) loss_rec_all: 0.0535 (0.0541) loss_rec_sfr: 0.0776 (0.0762) loss_cl: -0.3676 (-0.3674) time: 0.8677 data: 0.0003 max mem: 29859 [12:47:11.978208] Epoch: [279] [580/850] eta: 0:03:55 lr: 0.001858 loss: 0.0174 (0.0179) loss_rec_all: 0.0535 (0.0541) loss_rec_sfr: 0.0838 (0.0764) loss_cl: -0.3675 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [12:47:29.275619] Epoch: [279] [600/850] eta: 0:03:37 lr: 0.001858 loss: 0.0170 (0.0179) loss_rec_all: 0.0535 (0.0541) loss_rec_sfr: 0.0560 (0.0762) loss_cl: -0.3676 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [12:47:46.596261] Epoch: [279] [620/850] eta: 0:03:20 lr: 0.001857 loss: 0.0170 (0.0179) loss_rec_all: 0.0530 (0.0541) loss_rec_sfr: 0.0796 (0.0763) loss_cl: -0.3677 (-0.3674) time: 0.8659 data: 0.0003 max mem: 29859 [12:48:03.875477] Epoch: [279] [640/850] eta: 0:03:02 lr: 0.001857 loss: 0.0172 (0.0179) loss_rec_all: 0.0531 (0.0541) loss_rec_sfr: 0.0783 (0.0766) loss_cl: -0.3672 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [12:48:21.114727] Epoch: [279] [660/850] eta: 0:02:45 lr: 0.001857 loss: 0.0154 (0.0178) loss_rec_all: 0.0516 (0.0540) loss_rec_sfr: 0.0585 (0.0765) loss_cl: -0.3668 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [12:48:38.482380] Epoch: [279] [680/850] eta: 0:02:27 lr: 0.001857 loss: 0.0154 (0.0178) loss_rec_all: 0.0519 (0.0540) loss_rec_sfr: 0.0568 (0.0761) loss_cl: -0.3668 (-0.3674) time: 0.8683 data: 0.0003 max mem: 29859 [12:48:55.735612] Epoch: [279] [700/850] eta: 0:02:10 lr: 0.001857 loss: 0.0169 (0.0177) loss_rec_all: 0.0530 (0.0539) loss_rec_sfr: 0.0589 (0.0762) loss_cl: -0.3668 (-0.3674) time: 0.8626 data: 0.0003 max mem: 29859 [12:49:13.018254] Epoch: [279] [720/850] eta: 0:01:53 lr: 0.001857 loss: 0.0157 (0.0177) loss_rec_all: 0.0520 (0.0539) loss_rec_sfr: 0.0548 (0.0759) loss_cl: -0.3675 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [12:49:30.317539] Epoch: [279] [740/850] eta: 0:01:35 lr: 0.001857 loss: 0.0181 (0.0177) loss_rec_all: 0.0544 (0.0539) loss_rec_sfr: 0.0664 (0.0758) loss_cl: -0.3675 (-0.3674) time: 0.8649 data: 0.0003 max mem: 29859 [12:49:47.642387] Epoch: [279] [760/850] eta: 0:01:18 lr: 0.001857 loss: 0.0174 (0.0177) loss_rec_all: 0.0538 (0.0539) loss_rec_sfr: 0.0551 (0.0756) loss_cl: -0.3680 (-0.3674) time: 0.8662 data: 0.0003 max mem: 29859 [12:50:04.890048] Epoch: [279] [780/850] eta: 0:01:00 lr: 0.001857 loss: 0.0159 (0.0177) loss_rec_all: 0.0523 (0.0539) loss_rec_sfr: 0.0577 (0.0755) loss_cl: -0.3676 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [12:50:22.245098] Epoch: [279] [800/850] eta: 0:00:43 lr: 0.001857 loss: 0.0174 (0.0177) loss_rec_all: 0.0534 (0.0539) loss_rec_sfr: 0.0823 (0.0758) loss_cl: -0.3669 (-0.3674) time: 0.8676 data: 0.0003 max mem: 29859 [12:50:39.597797] Epoch: [279] [820/850] eta: 0:00:26 lr: 0.001857 loss: 0.0185 (0.0177) loss_rec_all: 0.0548 (0.0539) loss_rec_sfr: 0.0584 (0.0757) loss_cl: -0.3669 (-0.3674) time: 0.8676 data: 0.0003 max mem: 29859 [12:50:56.884377] Epoch: [279] [840/850] eta: 0:00:08 lr: 0.001856 loss: 0.0181 (0.0177) loss_rec_all: 0.0541 (0.0539) loss_rec_sfr: 0.0769 (0.0758) loss_cl: -0.3669 (-0.3673) time: 0.8643 data: 0.0004 max mem: 29859 [12:51:04.635127] Epoch: [279] [849/850] eta: 0:00:00 lr: 0.001856 loss: 0.0178 (0.0177) loss_rec_all: 0.0538 (0.0539) loss_rec_sfr: 0.0908 (0.0758) loss_cl: -0.3671 (-0.3673) time: 0.8639 data: 0.0004 max mem: 29859 [12:51:04.777777] Epoch: [279] Total time: 0:12:18 (0.8690 s / it) [12:51:04.780506] Averaged stats: lr: 0.001856 loss: 0.0178 (0.0178) loss_rec_all: 0.0538 (0.0540) loss_rec_sfr: 0.0908 (0.0758) loss_cl: -0.3671 (-0.3673) [12:51:04.792749] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [12:51:08.867818] Epoch: [280] [ 0/850] eta: 0:57:43 lr: 0.001856 loss: 0.0172 (0.0172) loss_rec_all: 0.0535 (0.0535) loss_rec_sfr: 0.0603 (0.0603) loss_cl: -0.3673 (-0.3673) time: 4.0742 data: 2.8455 max mem: 29859 [12:51:26.145788] Epoch: [280] [ 20/850] eta: 0:14:03 lr: 0.001856 loss: 0.0176 (0.0182) loss_rec_all: 0.0540 (0.0545) loss_rec_sfr: 0.0588 (0.0756) loss_cl: -0.3675 (-0.3675) time: 0.8638 data: 0.0003 max mem: 29859 [12:51:43.431682] Epoch: [280] [ 40/850] eta: 0:12:43 lr: 0.001856 loss: 0.0204 (0.0207) loss_rec_all: 0.0568 (0.0569) loss_rec_sfr: 0.0627 (0.0771) loss_cl: -0.3684 (-0.3679) time: 0.8642 data: 0.0002 max mem: 29859 [12:52:00.651643] Epoch: [280] [ 60/850] eta: 0:12:03 lr: 0.001856 loss: 0.0181 (0.0201) loss_rec_all: 0.0544 (0.0564) loss_rec_sfr: 0.0562 (0.0769) loss_cl: -0.3680 (-0.3679) time: 0.8609 data: 0.0002 max mem: 29859 [12:52:17.988526] Epoch: [280] [ 80/850] eta: 0:11:35 lr: 0.001856 loss: 0.0177 (0.0198) loss_rec_all: 0.0540 (0.0560) loss_rec_sfr: 0.0571 (0.0754) loss_cl: -0.3672 (-0.3678) time: 0.8668 data: 0.0003 max mem: 29859 [12:52:35.269964] Epoch: [280] [100/850] eta: 0:11:11 lr: 0.001856 loss: 0.0204 (0.0202) loss_rec_all: 0.0565 (0.0564) loss_rec_sfr: 0.0884 (0.0773) loss_cl: -0.3669 (-0.3676) time: 0.8640 data: 0.0003 max mem: 29859 [12:52:52.551538] Epoch: [280] [120/850] eta: 0:10:50 lr: 0.001856 loss: 0.0195 (0.0202) loss_rec_all: 0.0558 (0.0565) loss_rec_sfr: 0.0592 (0.0767) loss_cl: -0.3671 (-0.3675) time: 0.8640 data: 0.0002 max mem: 29859 [12:53:09.811915] Epoch: [280] [140/850] eta: 0:10:29 lr: 0.001856 loss: 0.0181 (0.0200) loss_rec_all: 0.0544 (0.0562) loss_rec_sfr: 0.0587 (0.0766) loss_cl: -0.3669 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [12:53:27.256237] Epoch: [280] [160/850] eta: 0:10:10 lr: 0.001856 loss: 0.0183 (0.0199) loss_rec_all: 0.0544 (0.0561) loss_rec_sfr: 0.0814 (0.0774) loss_cl: -0.3672 (-0.3673) time: 0.8722 data: 0.0004 max mem: 29859 [12:53:44.491263] Epoch: [280] [180/850] eta: 0:09:51 lr: 0.001855 loss: 0.0177 (0.0198) loss_rec_all: 0.0541 (0.0560) loss_rec_sfr: 0.0682 (0.0770) loss_cl: -0.3679 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [12:54:01.801560] Epoch: [280] [200/850] eta: 0:09:32 lr: 0.001855 loss: 0.0193 (0.0196) loss_rec_all: 0.0554 (0.0559) loss_rec_sfr: 0.0778 (0.0770) loss_cl: -0.3684 (-0.3675) time: 0.8655 data: 0.0003 max mem: 29859 [12:54:19.125997] Epoch: [280] [220/850] eta: 0:09:13 lr: 0.001855 loss: 0.0165 (0.0194) loss_rec_all: 0.0528 (0.0557) loss_rec_sfr: 0.0741 (0.0768) loss_cl: -0.3675 (-0.3675) time: 0.8662 data: 0.0003 max mem: 29859 [12:54:36.414341] Epoch: [280] [240/850] eta: 0:08:55 lr: 0.001855 loss: 0.0155 (0.0192) loss_rec_all: 0.0519 (0.0554) loss_rec_sfr: 0.0575 (0.0760) loss_cl: -0.3676 (-0.3675) time: 0.8644 data: 0.0002 max mem: 29859 [12:54:53.671582] Epoch: [280] [260/850] eta: 0:08:37 lr: 0.001855 loss: 0.0171 (0.0191) loss_rec_all: 0.0533 (0.0553) loss_rec_sfr: 0.0613 (0.0755) loss_cl: -0.3672 (-0.3675) time: 0.8628 data: 0.0002 max mem: 29859 [12:55:11.039031] Epoch: [280] [280/850] eta: 0:08:19 lr: 0.001855 loss: 0.0170 (0.0189) loss_rec_all: 0.0530 (0.0552) loss_rec_sfr: 0.0602 (0.0753) loss_cl: -0.3673 (-0.3674) time: 0.8683 data: 0.0003 max mem: 29859 [12:55:28.323397] Epoch: [280] [300/850] eta: 0:08:01 lr: 0.001855 loss: 0.0163 (0.0188) loss_rec_all: 0.0525 (0.0550) loss_rec_sfr: 0.0747 (0.0754) loss_cl: -0.3674 (-0.3674) time: 0.8642 data: 0.0002 max mem: 29859 [12:55:45.609197] Epoch: [280] [320/850] eta: 0:07:43 lr: 0.001855 loss: 0.0159 (0.0186) loss_rec_all: 0.0519 (0.0548) loss_rec_sfr: 0.0538 (0.0754) loss_cl: -0.3672 (-0.3674) time: 0.8642 data: 0.0002 max mem: 29859 [12:56:02.910171] Epoch: [280] [340/850] eta: 0:07:25 lr: 0.001855 loss: 0.0161 (0.0185) loss_rec_all: 0.0524 (0.0547) loss_rec_sfr: 0.0583 (0.0754) loss_cl: -0.3673 (-0.3674) time: 0.8650 data: 0.0003 max mem: 29859 [12:56:20.286205] Epoch: [280] [360/850] eta: 0:07:08 lr: 0.001855 loss: 0.0150 (0.0184) loss_rec_all: 0.0513 (0.0546) loss_rec_sfr: 0.0542 (0.0752) loss_cl: -0.3669 (-0.3674) time: 0.8687 data: 0.0002 max mem: 29859 [12:56:37.533729] Epoch: [280] [380/850] eta: 0:06:50 lr: 0.001854 loss: 0.0173 (0.0183) loss_rec_all: 0.0530 (0.0545) loss_rec_sfr: 0.0915 (0.0757) loss_cl: -0.3667 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [12:56:54.865866] Epoch: [280] [400/850] eta: 0:06:32 lr: 0.001854 loss: 0.0168 (0.0183) loss_rec_all: 0.0528 (0.0545) loss_rec_sfr: 0.0755 (0.0758) loss_cl: -0.3671 (-0.3673) time: 0.8665 data: 0.0002 max mem: 29859 [12:57:12.208804] Epoch: [280] [420/850] eta: 0:06:15 lr: 0.001854 loss: 0.0170 (0.0182) loss_rec_all: 0.0533 (0.0544) loss_rec_sfr: 0.0739 (0.0758) loss_cl: -0.3672 (-0.3673) time: 0.8671 data: 0.0003 max mem: 29859 [12:57:29.490631] Epoch: [280] [440/850] eta: 0:05:57 lr: 0.001854 loss: 0.0175 (0.0182) loss_rec_all: 0.0535 (0.0544) loss_rec_sfr: 0.0588 (0.0756) loss_cl: -0.3672 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [12:57:46.748010] Epoch: [280] [460/850] eta: 0:05:40 lr: 0.001854 loss: 0.0169 (0.0182) loss_rec_all: 0.0529 (0.0544) loss_rec_sfr: 0.0763 (0.0758) loss_cl: -0.3673 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [12:58:04.103735] Epoch: [280] [480/850] eta: 0:05:22 lr: 0.001854 loss: 0.0162 (0.0181) loss_rec_all: 0.0524 (0.0543) loss_rec_sfr: 0.0615 (0.0756) loss_cl: -0.3679 (-0.3673) time: 0.8677 data: 0.0003 max mem: 29859 [12:58:21.358835] Epoch: [280] [500/850] eta: 0:05:04 lr: 0.001854 loss: 0.0158 (0.0181) loss_rec_all: 0.0520 (0.0543) loss_rec_sfr: 0.0654 (0.0756) loss_cl: -0.3676 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [12:58:38.635252] Epoch: [280] [520/850] eta: 0:04:47 lr: 0.001854 loss: 0.0181 (0.0181) loss_rec_all: 0.0543 (0.0543) loss_rec_sfr: 0.0790 (0.0757) loss_cl: -0.3674 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [12:58:55.959158] Epoch: [280] [540/850] eta: 0:04:29 lr: 0.001854 loss: 0.0165 (0.0181) loss_rec_all: 0.0525 (0.0543) loss_rec_sfr: 0.0541 (0.0755) loss_cl: -0.3675 (-0.3673) time: 0.8661 data: 0.0003 max mem: 29859 [12:59:13.278870] Epoch: [280] [560/850] eta: 0:04:12 lr: 0.001854 loss: 0.0186 (0.0182) loss_rec_all: 0.0547 (0.0544) loss_rec_sfr: 0.0847 (0.0758) loss_cl: -0.3672 (-0.3673) time: 0.8659 data: 0.0002 max mem: 29859 [12:59:30.533557] Epoch: [280] [580/850] eta: 0:03:55 lr: 0.001854 loss: 0.0192 (0.0183) loss_rec_all: 0.0555 (0.0545) loss_rec_sfr: 0.0920 (0.0761) loss_cl: -0.3669 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [12:59:47.903771] Epoch: [280] [600/850] eta: 0:03:37 lr: 0.001853 loss: 0.0193 (0.0184) loss_rec_all: 0.0554 (0.0546) loss_rec_sfr: 0.0629 (0.0762) loss_cl: -0.3674 (-0.3673) time: 0.8684 data: 0.0003 max mem: 29859 [13:00:05.193798] Epoch: [280] [620/850] eta: 0:03:20 lr: 0.001853 loss: 0.0188 (0.0184) loss_rec_all: 0.0552 (0.0546) loss_rec_sfr: 0.0579 (0.0760) loss_cl: -0.3674 (-0.3673) time: 0.8644 data: 0.0003 max mem: 29859 [13:00:22.475030] Epoch: [280] [640/850] eta: 0:03:02 lr: 0.001853 loss: 0.0194 (0.0185) loss_rec_all: 0.0553 (0.0547) loss_rec_sfr: 0.0829 (0.0761) loss_cl: -0.3673 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [13:00:39.755939] Epoch: [280] [660/850] eta: 0:02:45 lr: 0.001853 loss: 0.0194 (0.0185) loss_rec_all: 0.0556 (0.0547) loss_rec_sfr: 0.0801 (0.0763) loss_cl: -0.3677 (-0.3673) time: 0.8640 data: 0.0003 max mem: 29859 [13:00:57.103960] Epoch: [280] [680/850] eta: 0:02:27 lr: 0.001853 loss: 0.0172 (0.0185) loss_rec_all: 0.0535 (0.0547) loss_rec_sfr: 0.0754 (0.0763) loss_cl: -0.3678 (-0.3673) time: 0.8673 data: 0.0003 max mem: 29859 [13:01:14.370760] Epoch: [280] [700/850] eta: 0:02:10 lr: 0.001853 loss: 0.0172 (0.0185) loss_rec_all: 0.0534 (0.0547) loss_rec_sfr: 0.0534 (0.0761) loss_cl: -0.3675 (-0.3674) time: 0.8633 data: 0.0003 max mem: 29859 [13:01:31.671766] Epoch: [280] [720/850] eta: 0:01:53 lr: 0.001853 loss: 0.0168 (0.0184) loss_rec_all: 0.0530 (0.0546) loss_rec_sfr: 0.0557 (0.0758) loss_cl: -0.3674 (-0.3673) time: 0.8650 data: 0.0002 max mem: 29859 [13:01:48.994468] Epoch: [280] [740/850] eta: 0:01:35 lr: 0.001853 loss: 0.0164 (0.0184) loss_rec_all: 0.0527 (0.0546) loss_rec_sfr: 0.0620 (0.0757) loss_cl: -0.3673 (-0.3673) time: 0.8661 data: 0.0003 max mem: 29859 [13:02:06.277333] Epoch: [280] [760/850] eta: 0:01:18 lr: 0.001853 loss: 0.0164 (0.0184) loss_rec_all: 0.0527 (0.0546) loss_rec_sfr: 0.0570 (0.0755) loss_cl: -0.3673 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [13:02:23.512932] Epoch: [280] [780/850] eta: 0:01:00 lr: 0.001853 loss: 0.0161 (0.0183) loss_rec_all: 0.0521 (0.0545) loss_rec_sfr: 0.0754 (0.0755) loss_cl: -0.3671 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [13:02:40.895843] Epoch: [280] [800/850] eta: 0:00:43 lr: 0.001852 loss: 0.0163 (0.0183) loss_rec_all: 0.0525 (0.0545) loss_rec_sfr: 0.0738 (0.0755) loss_cl: -0.3667 (-0.3673) time: 0.8691 data: 0.0004 max mem: 29859 [13:02:58.141702] Epoch: [280] [820/850] eta: 0:00:26 lr: 0.001852 loss: 0.0165 (0.0183) loss_rec_all: 0.0526 (0.0545) loss_rec_sfr: 0.0788 (0.0755) loss_cl: -0.3668 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [13:03:15.423557] Epoch: [280] [840/850] eta: 0:00:08 lr: 0.001852 loss: 0.0175 (0.0183) loss_rec_all: 0.0537 (0.0545) loss_rec_sfr: 0.0600 (0.0754) loss_cl: -0.3672 (-0.3673) time: 0.8640 data: 0.0006 max mem: 29859 [13:03:23.195107] Epoch: [280] [849/850] eta: 0:00:00 lr: 0.001852 loss: 0.0170 (0.0182) loss_rec_all: 0.0533 (0.0544) loss_rec_sfr: 0.0590 (0.0754) loss_cl: -0.3670 (-0.3673) time: 0.8647 data: 0.0006 max mem: 29859 [13:03:23.322182] Epoch: [280] Total time: 0:12:18 (0.8689 s / it) [13:03:23.335645] Averaged stats: lr: 0.001852 loss: 0.0170 (0.0182) loss_rec_all: 0.0533 (0.0544) loss_rec_sfr: 0.0590 (0.0752) loss_cl: -0.3670 (-0.3673) [13:03:23.350532] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [13:03:27.647029] Epoch: [281] [ 0/850] eta: 1:00:51 lr: 0.001852 loss: 0.0210 (0.0210) loss_rec_all: 0.0572 (0.0572) loss_rec_sfr: 0.0757 (0.0757) loss_cl: -0.3674 (-0.3674) time: 4.2954 data: 3.4403 max mem: 29859 [13:03:44.880862] Epoch: [281] [ 20/850] eta: 0:14:10 lr: 0.001852 loss: 0.0157 (0.0169) loss_rec_all: 0.0521 (0.0530) loss_rec_sfr: 0.0802 (0.0801) loss_cl: -0.3672 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [13:04:02.128214] Epoch: [281] [ 40/850] eta: 0:12:46 lr: 0.001852 loss: 0.0175 (0.0173) loss_rec_all: 0.0539 (0.0534) loss_rec_sfr: 0.0798 (0.0847) loss_cl: -0.3676 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [13:04:19.377410] Epoch: [281] [ 60/850] eta: 0:12:05 lr: 0.001852 loss: 0.0172 (0.0175) loss_rec_all: 0.0535 (0.0536) loss_rec_sfr: 0.0649 (0.0827) loss_cl: -0.3674 (-0.3674) time: 0.8624 data: 0.0003 max mem: 29859 [13:04:36.728323] Epoch: [281] [ 80/850] eta: 0:11:37 lr: 0.001852 loss: 0.0168 (0.0176) loss_rec_all: 0.0532 (0.0538) loss_rec_sfr: 0.0741 (0.0832) loss_cl: -0.3674 (-0.3674) time: 0.8675 data: 0.0003 max mem: 29859 [13:04:53.953162] Epoch: [281] [100/850] eta: 0:11:12 lr: 0.001852 loss: 0.0168 (0.0177) loss_rec_all: 0.0531 (0.0538) loss_rec_sfr: 0.0653 (0.0823) loss_cl: -0.3674 (-0.3674) time: 0.8612 data: 0.0002 max mem: 29859 [13:05:11.219455] Epoch: [281] [120/850] eta: 0:10:50 lr: 0.001852 loss: 0.0168 (0.0176) loss_rec_all: 0.0526 (0.0538) loss_rec_sfr: 0.0630 (0.0812) loss_cl: -0.3671 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [13:05:28.546432] Epoch: [281] [140/850] eta: 0:10:30 lr: 0.001852 loss: 0.0188 (0.0177) loss_rec_all: 0.0546 (0.0539) loss_rec_sfr: 0.0756 (0.0810) loss_cl: -0.3673 (-0.3674) time: 0.8663 data: 0.0004 max mem: 29859 [13:05:45.840998] Epoch: [281] [160/850] eta: 0:10:10 lr: 0.001851 loss: 0.0171 (0.0177) loss_rec_all: 0.0534 (0.0539) loss_rec_sfr: 0.0752 (0.0807) loss_cl: -0.3676 (-0.3674) time: 0.8647 data: 0.0002 max mem: 29859 [13:06:03.075185] Epoch: [281] [180/850] eta: 0:09:51 lr: 0.001851 loss: 0.0158 (0.0176) loss_rec_all: 0.0522 (0.0538) loss_rec_sfr: 0.0583 (0.0791) loss_cl: -0.3680 (-0.3675) time: 0.8617 data: 0.0002 max mem: 29859 [13:06:20.446065] Epoch: [281] [200/850] eta: 0:09:32 lr: 0.001851 loss: 0.0169 (0.0176) loss_rec_all: 0.0532 (0.0538) loss_rec_sfr: 0.0769 (0.0788) loss_cl: -0.3677 (-0.3675) time: 0.8685 data: 0.0004 max mem: 29859 [13:06:37.689233] Epoch: [281] [220/850] eta: 0:09:13 lr: 0.001851 loss: 0.0172 (0.0175) loss_rec_all: 0.0535 (0.0537) loss_rec_sfr: 0.0594 (0.0780) loss_cl: -0.3671 (-0.3675) time: 0.8621 data: 0.0002 max mem: 29859 [13:06:54.963790] Epoch: [281] [240/850] eta: 0:08:55 lr: 0.001851 loss: 0.0166 (0.0175) loss_rec_all: 0.0528 (0.0537) loss_rec_sfr: 0.0753 (0.0781) loss_cl: -0.3664 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [13:07:12.250574] Epoch: [281] [260/850] eta: 0:08:37 lr: 0.001851 loss: 0.0168 (0.0175) loss_rec_all: 0.0529 (0.0537) loss_rec_sfr: 0.0792 (0.0781) loss_cl: -0.3669 (-0.3673) time: 0.8643 data: 0.0003 max mem: 29859 [13:07:29.572512] Epoch: [281] [280/850] eta: 0:08:19 lr: 0.001851 loss: 0.0154 (0.0174) loss_rec_all: 0.0516 (0.0536) loss_rec_sfr: 0.0541 (0.0769) loss_cl: -0.3668 (-0.3673) time: 0.8660 data: 0.0002 max mem: 29859 [13:07:46.813957] Epoch: [281] [300/850] eta: 0:08:01 lr: 0.001851 loss: 0.0159 (0.0173) loss_rec_all: 0.0522 (0.0535) loss_rec_sfr: 0.0607 (0.0766) loss_cl: -0.3676 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [13:08:04.161380] Epoch: [281] [320/850] eta: 0:07:43 lr: 0.001851 loss: 0.0186 (0.0174) loss_rec_all: 0.0547 (0.0536) loss_rec_sfr: 0.0795 (0.0768) loss_cl: -0.3687 (-0.3674) time: 0.8673 data: 0.0003 max mem: 29859 [13:08:21.462578] Epoch: [281] [340/850] eta: 0:07:25 lr: 0.001851 loss: 0.0194 (0.0175) loss_rec_all: 0.0553 (0.0537) loss_rec_sfr: 0.0826 (0.0776) loss_cl: -0.3684 (-0.3674) time: 0.8650 data: 0.0003 max mem: 29859 [13:08:38.729361] Epoch: [281] [360/850] eta: 0:07:08 lr: 0.001850 loss: 0.0175 (0.0176) loss_rec_all: 0.0536 (0.0538) loss_rec_sfr: 0.0817 (0.0776) loss_cl: -0.3673 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [13:08:56.007710] Epoch: [281] [380/850] eta: 0:06:50 lr: 0.001850 loss: 0.0176 (0.0177) loss_rec_all: 0.0535 (0.0539) loss_rec_sfr: 0.0791 (0.0775) loss_cl: -0.3671 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [13:09:13.364601] Epoch: [281] [400/850] eta: 0:06:32 lr: 0.001850 loss: 0.0161 (0.0176) loss_rec_all: 0.0524 (0.0538) loss_rec_sfr: 0.0519 (0.0772) loss_cl: -0.3669 (-0.3674) time: 0.8678 data: 0.0004 max mem: 29859 [13:09:30.602709] Epoch: [281] [420/850] eta: 0:06:15 lr: 0.001850 loss: 0.0162 (0.0176) loss_rec_all: 0.0525 (0.0538) loss_rec_sfr: 0.0555 (0.0770) loss_cl: -0.3666 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [13:09:47.901994] Epoch: [281] [440/850] eta: 0:05:57 lr: 0.001850 loss: 0.0175 (0.0176) loss_rec_all: 0.0537 (0.0538) loss_rec_sfr: 0.0769 (0.0771) loss_cl: -0.3673 (-0.3674) time: 0.8649 data: 0.0003 max mem: 29859 [13:10:05.209956] Epoch: [281] [460/850] eta: 0:05:39 lr: 0.001850 loss: 0.0167 (0.0176) loss_rec_all: 0.0532 (0.0538) loss_rec_sfr: 0.0803 (0.0773) loss_cl: -0.3676 (-0.3674) time: 0.8653 data: 0.0003 max mem: 29859 [13:10:22.506143] Epoch: [281] [480/850] eta: 0:05:22 lr: 0.001850 loss: 0.0168 (0.0176) loss_rec_all: 0.0530 (0.0538) loss_rec_sfr: 0.0788 (0.0775) loss_cl: -0.3676 (-0.3674) time: 0.8647 data: 0.0002 max mem: 29859 [13:10:39.779198] Epoch: [281] [500/850] eta: 0:05:04 lr: 0.001850 loss: 0.0157 (0.0176) loss_rec_all: 0.0521 (0.0538) loss_rec_sfr: 0.0574 (0.0774) loss_cl: -0.3678 (-0.3674) time: 0.8636 data: 0.0003 max mem: 29859 [13:10:57.157791] Epoch: [281] [520/850] eta: 0:04:47 lr: 0.001850 loss: 0.0165 (0.0176) loss_rec_all: 0.0528 (0.0538) loss_rec_sfr: 0.0753 (0.0774) loss_cl: -0.3674 (-0.3674) time: 0.8689 data: 0.0003 max mem: 29859 [13:11:14.468291] Epoch: [281] [540/850] eta: 0:04:29 lr: 0.001850 loss: 0.0163 (0.0175) loss_rec_all: 0.0527 (0.0537) loss_rec_sfr: 0.0556 (0.0768) loss_cl: -0.3676 (-0.3674) time: 0.8655 data: 0.0003 max mem: 29859 [13:11:31.837874] Epoch: [281] [560/850] eta: 0:04:12 lr: 0.001849 loss: 0.0160 (0.0175) loss_rec_all: 0.0523 (0.0537) loss_rec_sfr: 0.0548 (0.0765) loss_cl: -0.3672 (-0.3674) time: 0.8683 data: 0.0002 max mem: 29859 [13:11:49.232021] Epoch: [281] [580/850] eta: 0:03:55 lr: 0.001849 loss: 0.0164 (0.0175) loss_rec_all: 0.0528 (0.0537) loss_rec_sfr: 0.0590 (0.0762) loss_cl: -0.3668 (-0.3674) time: 0.8696 data: 0.0003 max mem: 29859 [13:12:06.569893] Epoch: [281] [600/850] eta: 0:03:37 lr: 0.001849 loss: 0.0177 (0.0175) loss_rec_all: 0.0535 (0.0537) loss_rec_sfr: 0.0726 (0.0762) loss_cl: -0.3671 (-0.3674) time: 0.8668 data: 0.0003 max mem: 29859 [13:12:23.878593] Epoch: [281] [620/850] eta: 0:03:20 lr: 0.001849 loss: 0.0164 (0.0175) loss_rec_all: 0.0528 (0.0537) loss_rec_sfr: 0.0596 (0.0761) loss_cl: -0.3672 (-0.3674) time: 0.8654 data: 0.0002 max mem: 29859 [13:12:41.324250] Epoch: [281] [640/850] eta: 0:03:02 lr: 0.001849 loss: 0.0173 (0.0175) loss_rec_all: 0.0537 (0.0537) loss_rec_sfr: 0.0764 (0.0759) loss_cl: -0.3679 (-0.3674) time: 0.8722 data: 0.0003 max mem: 29859 [13:12:58.650856] Epoch: [281] [660/850] eta: 0:02:45 lr: 0.001849 loss: 0.0176 (0.0175) loss_rec_all: 0.0539 (0.0537) loss_rec_sfr: 0.0818 (0.0761) loss_cl: -0.3673 (-0.3674) time: 0.8663 data: 0.0003 max mem: 29859 [13:13:16.010960] Epoch: [281] [680/850] eta: 0:02:27 lr: 0.001849 loss: 0.0172 (0.0175) loss_rec_all: 0.0534 (0.0538) loss_rec_sfr: 0.0820 (0.0761) loss_cl: -0.3674 (-0.3674) time: 0.8680 data: 0.0002 max mem: 29859 [13:13:33.407822] Epoch: [281] [700/850] eta: 0:02:10 lr: 0.001849 loss: 0.0178 (0.0176) loss_rec_all: 0.0537 (0.0538) loss_rec_sfr: 0.0887 (0.0764) loss_cl: -0.3672 (-0.3674) time: 0.8698 data: 0.0004 max mem: 29859 [13:13:50.798793] Epoch: [281] [720/850] eta: 0:01:53 lr: 0.001849 loss: 0.0185 (0.0176) loss_rec_all: 0.0545 (0.0538) loss_rec_sfr: 0.0761 (0.0764) loss_cl: -0.3673 (-0.3674) time: 0.8695 data: 0.0002 max mem: 29859 [13:14:08.114789] Epoch: [281] [740/850] eta: 0:01:35 lr: 0.001849 loss: 0.0180 (0.0176) loss_rec_all: 0.0540 (0.0538) loss_rec_sfr: 0.0852 (0.0766) loss_cl: -0.3672 (-0.3674) time: 0.8657 data: 0.0002 max mem: 29859 [13:14:25.569405] Epoch: [281] [760/850] eta: 0:01:18 lr: 0.001848 loss: 0.0160 (0.0176) loss_rec_all: 0.0524 (0.0538) loss_rec_sfr: 0.0563 (0.0764) loss_cl: -0.3674 (-0.3674) time: 0.8727 data: 0.0003 max mem: 29859 [13:14:42.909729] Epoch: [281] [780/850] eta: 0:01:00 lr: 0.001848 loss: 0.0179 (0.0176) loss_rec_all: 0.0541 (0.0538) loss_rec_sfr: 0.0814 (0.0765) loss_cl: -0.3680 (-0.3674) time: 0.8669 data: 0.0003 max mem: 29859 [13:15:00.271370] Epoch: [281] [800/850] eta: 0:00:43 lr: 0.001848 loss: 0.0161 (0.0176) loss_rec_all: 0.0524 (0.0538) loss_rec_sfr: 0.0869 (0.0767) loss_cl: -0.3678 (-0.3674) time: 0.8680 data: 0.0002 max mem: 29859 [13:15:17.613772] Epoch: [281] [820/850] eta: 0:00:26 lr: 0.001848 loss: 0.0160 (0.0176) loss_rec_all: 0.0524 (0.0538) loss_rec_sfr: 0.0577 (0.0766) loss_cl: -0.3670 (-0.3674) time: 0.8670 data: 0.0003 max mem: 29859 [13:15:35.010666] Epoch: [281] [840/850] eta: 0:00:08 lr: 0.001848 loss: 0.0160 (0.0176) loss_rec_all: 0.0520 (0.0538) loss_rec_sfr: 0.0600 (0.0765) loss_cl: -0.3664 (-0.3673) time: 0.8698 data: 0.0007 max mem: 29859 [13:15:42.800604] Epoch: [281] [849/850] eta: 0:00:00 lr: 0.001848 loss: 0.0165 (0.0176) loss_rec_all: 0.0525 (0.0538) loss_rec_sfr: 0.0600 (0.0767) loss_cl: -0.3663 (-0.3673) time: 0.8678 data: 0.0005 max mem: 29859 [13:15:42.967055] Epoch: [281] Total time: 0:12:19 (0.8701 s / it) [13:15:42.988589] Averaged stats: lr: 0.001848 loss: 0.0165 (0.0176) loss_rec_all: 0.0525 (0.0538) loss_rec_sfr: 0.0600 (0.0769) loss_cl: -0.3663 (-0.3673) [13:15:42.998394] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [13:15:47.661791] Epoch: [282] [ 0/850] eta: 1:06:03 lr: 0.001848 loss: 0.0189 (0.0189) loss_rec_all: 0.0551 (0.0551) loss_rec_sfr: 0.0741 (0.0741) loss_cl: -0.3666 (-0.3666) time: 4.6626 data: 3.8055 max mem: 29859 [13:16:04.935511] Epoch: [282] [ 20/850] eta: 0:14:26 lr: 0.001848 loss: 0.0185 (0.0183) loss_rec_all: 0.0543 (0.0544) loss_rec_sfr: 0.0761 (0.0829) loss_cl: -0.3667 (-0.3667) time: 0.8636 data: 0.0002 max mem: 29859 [13:16:22.325658] Epoch: [282] [ 40/850] eta: 0:12:56 lr: 0.001848 loss: 0.0162 (0.0176) loss_rec_all: 0.0524 (0.0538) loss_rec_sfr: 0.0635 (0.0778) loss_cl: -0.3671 (-0.3669) time: 0.8694 data: 0.0003 max mem: 29859 [13:16:39.624528] Epoch: [282] [ 60/850] eta: 0:12:13 lr: 0.001848 loss: 0.0179 (0.0177) loss_rec_all: 0.0539 (0.0538) loss_rec_sfr: 0.0774 (0.0788) loss_cl: -0.3677 (-0.3671) time: 0.8648 data: 0.0003 max mem: 29859 [13:16:56.954884] Epoch: [282] [ 80/850] eta: 0:11:42 lr: 0.001848 loss: 0.0164 (0.0175) loss_rec_all: 0.0526 (0.0536) loss_rec_sfr: 0.0806 (0.0804) loss_cl: -0.3680 (-0.3673) time: 0.8664 data: 0.0003 max mem: 29859 [13:17:14.339512] Epoch: [282] [100/850] eta: 0:11:18 lr: 0.001848 loss: 0.0160 (0.0173) loss_rec_all: 0.0523 (0.0534) loss_rec_sfr: 0.0714 (0.0794) loss_cl: -0.3677 (-0.3674) time: 0.8691 data: 0.0004 max mem: 29859 [13:17:31.695218] Epoch: [282] [120/850] eta: 0:10:55 lr: 0.001847 loss: 0.0167 (0.0172) loss_rec_all: 0.0526 (0.0534) loss_rec_sfr: 0.0811 (0.0797) loss_cl: -0.3674 (-0.3674) time: 0.8677 data: 0.0003 max mem: 29859 [13:17:48.981057] Epoch: [282] [140/850] eta: 0:10:34 lr: 0.001847 loss: 0.0163 (0.0173) loss_rec_all: 0.0525 (0.0535) loss_rec_sfr: 0.0787 (0.0798) loss_cl: -0.3671 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [13:18:06.372677] Epoch: [282] [160/850] eta: 0:10:14 lr: 0.001847 loss: 0.0180 (0.0174) loss_rec_all: 0.0541 (0.0536) loss_rec_sfr: 0.0807 (0.0796) loss_cl: -0.3671 (-0.3673) time: 0.8695 data: 0.0004 max mem: 29859 [13:18:23.725158] Epoch: [282] [180/850] eta: 0:09:54 lr: 0.001847 loss: 0.0165 (0.0173) loss_rec_all: 0.0528 (0.0535) loss_rec_sfr: 0.0555 (0.0780) loss_cl: -0.3673 (-0.3673) time: 0.8675 data: 0.0003 max mem: 29859 [13:18:41.054852] Epoch: [282] [200/850] eta: 0:09:35 lr: 0.001847 loss: 0.0165 (0.0174) loss_rec_all: 0.0527 (0.0535) loss_rec_sfr: 0.0544 (0.0773) loss_cl: -0.3674 (-0.3673) time: 0.8664 data: 0.0002 max mem: 29859 [13:18:58.376069] Epoch: [282] [220/850] eta: 0:09:16 lr: 0.001847 loss: 0.0166 (0.0174) loss_rec_all: 0.0530 (0.0536) loss_rec_sfr: 0.0804 (0.0771) loss_cl: -0.3675 (-0.3673) time: 0.8660 data: 0.0003 max mem: 29859 [13:19:15.803545] Epoch: [282] [240/850] eta: 0:08:58 lr: 0.001847 loss: 0.0176 (0.0175) loss_rec_all: 0.0536 (0.0536) loss_rec_sfr: 0.0762 (0.0771) loss_cl: -0.3676 (-0.3673) time: 0.8713 data: 0.0004 max mem: 29859 [13:19:33.113731] Epoch: [282] [260/850] eta: 0:08:40 lr: 0.001847 loss: 0.0162 (0.0174) loss_rec_all: 0.0528 (0.0536) loss_rec_sfr: 0.0582 (0.0764) loss_cl: -0.3684 (-0.3674) time: 0.8654 data: 0.0002 max mem: 29859 [13:19:50.507849] Epoch: [282] [280/850] eta: 0:08:22 lr: 0.001847 loss: 0.0168 (0.0174) loss_rec_all: 0.0531 (0.0536) loss_rec_sfr: 0.0731 (0.0767) loss_cl: -0.3678 (-0.3674) time: 0.8694 data: 0.0004 max mem: 29859 [13:20:07.908241] Epoch: [282] [300/850] eta: 0:08:03 lr: 0.001847 loss: 0.0165 (0.0173) loss_rec_all: 0.0528 (0.0535) loss_rec_sfr: 0.0585 (0.0765) loss_cl: -0.3673 (-0.3674) time: 0.8699 data: 0.0004 max mem: 29859 [13:20:25.453148] Epoch: [282] [320/850] eta: 0:07:46 lr: 0.001846 loss: 0.0170 (0.0173) loss_rec_all: 0.0532 (0.0535) loss_rec_sfr: 0.0898 (0.0771) loss_cl: -0.3669 (-0.3674) time: 0.8772 data: 0.0004 max mem: 29859 [13:20:42.744674] Epoch: [282] [340/850] eta: 0:07:28 lr: 0.001846 loss: 0.0166 (0.0173) loss_rec_all: 0.0529 (0.0535) loss_rec_sfr: 0.0607 (0.0772) loss_cl: -0.3666 (-0.3673) time: 0.8645 data: 0.0003 max mem: 29859 [13:21:00.140419] Epoch: [282] [360/850] eta: 0:07:10 lr: 0.001846 loss: 0.0159 (0.0173) loss_rec_all: 0.0521 (0.0535) loss_rec_sfr: 0.0515 (0.0767) loss_cl: -0.3670 (-0.3673) time: 0.8697 data: 0.0004 max mem: 29859 [13:21:17.429429] Epoch: [282] [380/850] eta: 0:06:52 lr: 0.001846 loss: 0.0173 (0.0173) loss_rec_all: 0.0533 (0.0535) loss_rec_sfr: 0.0783 (0.0769) loss_cl: -0.3667 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [13:21:34.745087] Epoch: [282] [400/850] eta: 0:06:34 lr: 0.001846 loss: 0.0156 (0.0173) loss_rec_all: 0.0521 (0.0535) loss_rec_sfr: 0.0533 (0.0763) loss_cl: -0.3673 (-0.3673) time: 0.8657 data: 0.0003 max mem: 29859 [13:21:52.068775] Epoch: [282] [420/850] eta: 0:06:16 lr: 0.001846 loss: 0.0172 (0.0174) loss_rec_all: 0.0534 (0.0536) loss_rec_sfr: 0.0569 (0.0761) loss_cl: -0.3679 (-0.3673) time: 0.8661 data: 0.0003 max mem: 29859 [13:22:09.448490] Epoch: [282] [440/850] eta: 0:05:59 lr: 0.001846 loss: 0.0176 (0.0174) loss_rec_all: 0.0540 (0.0536) loss_rec_sfr: 0.0651 (0.0760) loss_cl: -0.3681 (-0.3673) time: 0.8689 data: 0.0003 max mem: 29859 [13:22:26.696983] Epoch: [282] [460/850] eta: 0:05:41 lr: 0.001846 loss: 0.0165 (0.0174) loss_rec_all: 0.0528 (0.0536) loss_rec_sfr: 0.0593 (0.0760) loss_cl: -0.3674 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [13:22:44.051149] Epoch: [282] [480/850] eta: 0:05:23 lr: 0.001846 loss: 0.0171 (0.0174) loss_rec_all: 0.0533 (0.0536) loss_rec_sfr: 0.0789 (0.0760) loss_cl: -0.3668 (-0.3673) time: 0.8676 data: 0.0003 max mem: 29859 [13:23:01.382467] Epoch: [282] [500/850] eta: 0:05:06 lr: 0.001846 loss: 0.0175 (0.0174) loss_rec_all: 0.0538 (0.0536) loss_rec_sfr: 0.0588 (0.0757) loss_cl: -0.3673 (-0.3673) time: 0.8665 data: 0.0003 max mem: 29859 [13:23:18.672970] Epoch: [282] [520/850] eta: 0:04:48 lr: 0.001845 loss: 0.0172 (0.0174) loss_rec_all: 0.0535 (0.0537) loss_rec_sfr: 0.0735 (0.0756) loss_cl: -0.3677 (-0.3673) time: 0.8645 data: 0.0003 max mem: 29859 [13:23:35.955006] Epoch: [282] [540/850] eta: 0:04:30 lr: 0.001845 loss: 0.0167 (0.0174) loss_rec_all: 0.0527 (0.0536) loss_rec_sfr: 0.0904 (0.0759) loss_cl: -0.3673 (-0.3673) time: 0.8641 data: 0.0003 max mem: 29859 [13:23:53.314092] Epoch: [282] [560/850] eta: 0:04:13 lr: 0.001845 loss: 0.0169 (0.0174) loss_rec_all: 0.0533 (0.0536) loss_rec_sfr: 0.0579 (0.0757) loss_cl: -0.3674 (-0.3673) time: 0.8679 data: 0.0003 max mem: 29859 [13:24:10.560388] Epoch: [282] [580/850] eta: 0:03:55 lr: 0.001845 loss: 0.0158 (0.0174) loss_rec_all: 0.0522 (0.0536) loss_rec_sfr: 0.0554 (0.0756) loss_cl: -0.3666 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [13:24:27.858421] Epoch: [282] [600/850] eta: 0:03:38 lr: 0.001845 loss: 0.0162 (0.0174) loss_rec_all: 0.0523 (0.0536) loss_rec_sfr: 0.0759 (0.0757) loss_cl: -0.3665 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [13:24:45.167453] Epoch: [282] [620/850] eta: 0:03:20 lr: 0.001845 loss: 0.0169 (0.0174) loss_rec_all: 0.0528 (0.0536) loss_rec_sfr: 0.0784 (0.0759) loss_cl: -0.3667 (-0.3673) time: 0.8654 data: 0.0004 max mem: 29859 [13:25:02.455079] Epoch: [282] [640/850] eta: 0:03:03 lr: 0.001845 loss: 0.0162 (0.0174) loss_rec_all: 0.0523 (0.0536) loss_rec_sfr: 0.0669 (0.0759) loss_cl: -0.3673 (-0.3673) time: 0.8643 data: 0.0003 max mem: 29859 [13:25:19.694833] Epoch: [282] [660/850] eta: 0:02:45 lr: 0.001845 loss: 0.0164 (0.0174) loss_rec_all: 0.0529 (0.0536) loss_rec_sfr: 0.0730 (0.0758) loss_cl: -0.3677 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [13:25:37.062089] Epoch: [282] [680/850] eta: 0:02:28 lr: 0.001845 loss: 0.0179 (0.0174) loss_rec_all: 0.0540 (0.0536) loss_rec_sfr: 0.0799 (0.0759) loss_cl: -0.3680 (-0.3673) time: 0.8683 data: 0.0003 max mem: 29859 [13:25:54.339227] Epoch: [282] [700/850] eta: 0:02:10 lr: 0.001845 loss: 0.0181 (0.0174) loss_rec_all: 0.0541 (0.0536) loss_rec_sfr: 0.0616 (0.0759) loss_cl: -0.3681 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [13:26:11.625707] Epoch: [282] [720/850] eta: 0:01:53 lr: 0.001844 loss: 0.0176 (0.0174) loss_rec_all: 0.0538 (0.0536) loss_rec_sfr: 0.0732 (0.0758) loss_cl: -0.3676 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [13:26:28.935808] Epoch: [282] [740/850] eta: 0:01:35 lr: 0.001844 loss: 0.0176 (0.0174) loss_rec_all: 0.0539 (0.0537) loss_rec_sfr: 0.0699 (0.0758) loss_cl: -0.3678 (-0.3673) time: 0.8654 data: 0.0004 max mem: 29859 [13:26:46.285043] Epoch: [282] [760/850] eta: 0:01:18 lr: 0.001844 loss: 0.0162 (0.0174) loss_rec_all: 0.0524 (0.0536) loss_rec_sfr: 0.0587 (0.0756) loss_cl: -0.3672 (-0.3673) time: 0.8674 data: 0.0003 max mem: 29859 [13:27:03.535695] Epoch: [282] [780/850] eta: 0:01:00 lr: 0.001844 loss: 0.0160 (0.0174) loss_rec_all: 0.0523 (0.0536) loss_rec_sfr: 0.0523 (0.0756) loss_cl: -0.3674 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [13:27:20.842539] Epoch: [282] [800/850] eta: 0:00:43 lr: 0.001844 loss: 0.0152 (0.0174) loss_rec_all: 0.0515 (0.0536) loss_rec_sfr: 0.0512 (0.0754) loss_cl: -0.3670 (-0.3673) time: 0.8653 data: 0.0003 max mem: 29859 [13:27:38.160895] Epoch: [282] [820/850] eta: 0:00:26 lr: 0.001844 loss: 0.0180 (0.0174) loss_rec_all: 0.0539 (0.0536) loss_rec_sfr: 0.0661 (0.0755) loss_cl: -0.3672 (-0.3673) time: 0.8659 data: 0.0003 max mem: 29859 [13:27:55.438340] Epoch: [282] [840/850] eta: 0:00:08 lr: 0.001844 loss: 0.0179 (0.0175) loss_rec_all: 0.0540 (0.0537) loss_rec_sfr: 0.0792 (0.0757) loss_cl: -0.3674 (-0.3673) time: 0.8638 data: 0.0006 max mem: 29859 [13:28:03.188047] Epoch: [282] [849/850] eta: 0:00:00 lr: 0.001844 loss: 0.0177 (0.0175) loss_rec_all: 0.0537 (0.0537) loss_rec_sfr: 0.0627 (0.0756) loss_cl: -0.3674 (-0.3673) time: 0.8633 data: 0.0005 max mem: 29859 [13:28:03.343541] Epoch: [282] Total time: 0:12:20 (0.8710 s / it) [13:28:03.351654] Averaged stats: lr: 0.001844 loss: 0.0177 (0.0175) loss_rec_all: 0.0537 (0.0537) loss_rec_sfr: 0.0627 (0.0753) loss_cl: -0.3674 (-0.3673) [13:28:03.362398] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [13:28:07.868396] Epoch: [283] [ 0/850] eta: 1:03:49 lr: 0.001844 loss: 0.0164 (0.0164) loss_rec_all: 0.0528 (0.0528) loss_rec_sfr: 0.0630 (0.0630) loss_cl: -0.3678 (-0.3678) time: 4.5052 data: 3.3030 max mem: 29859 [13:28:25.149419] Epoch: [283] [ 20/850] eta: 0:14:21 lr: 0.001844 loss: 0.0160 (0.0170) loss_rec_all: 0.0522 (0.0533) loss_rec_sfr: 0.0592 (0.0707) loss_cl: -0.3676 (-0.3675) time: 0.8640 data: 0.0003 max mem: 29859 [13:28:42.451617] Epoch: [283] [ 40/850] eta: 0:12:52 lr: 0.001844 loss: 0.0150 (0.0167) loss_rec_all: 0.0513 (0.0530) loss_rec_sfr: 0.0564 (0.0680) loss_cl: -0.3678 (-0.3676) time: 0.8651 data: 0.0005 max mem: 29859 [13:28:59.677175] Epoch: [283] [ 60/850] eta: 0:12:09 lr: 0.001844 loss: 0.0163 (0.0169) loss_rec_all: 0.0526 (0.0531) loss_rec_sfr: 0.0551 (0.0674) loss_cl: -0.3671 (-0.3674) time: 0.8612 data: 0.0002 max mem: 29859 [13:29:16.991956] Epoch: [283] [ 80/850] eta: 0:11:39 lr: 0.001843 loss: 0.0163 (0.0168) loss_rec_all: 0.0523 (0.0531) loss_rec_sfr: 0.0596 (0.0699) loss_cl: -0.3667 (-0.3672) time: 0.8657 data: 0.0003 max mem: 29859 [13:29:34.246157] Epoch: [283] [100/850] eta: 0:11:14 lr: 0.001843 loss: 0.0167 (0.0169) loss_rec_all: 0.0529 (0.0531) loss_rec_sfr: 0.0587 (0.0690) loss_cl: -0.3667 (-0.3671) time: 0.8627 data: 0.0002 max mem: 29859 [13:29:51.500265] Epoch: [283] [120/850] eta: 0:10:52 lr: 0.001843 loss: 0.0177 (0.0171) loss_rec_all: 0.0538 (0.0533) loss_rec_sfr: 0.0652 (0.0704) loss_cl: -0.3673 (-0.3671) time: 0.8627 data: 0.0002 max mem: 29859 [13:30:08.745151] Epoch: [283] [140/850] eta: 0:10:31 lr: 0.001843 loss: 0.0181 (0.0171) loss_rec_all: 0.0542 (0.0534) loss_rec_sfr: 0.0957 (0.0730) loss_cl: -0.3683 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [13:30:26.090238] Epoch: [283] [160/850] eta: 0:10:11 lr: 0.001843 loss: 0.0176 (0.0172) loss_rec_all: 0.0538 (0.0534) loss_rec_sfr: 0.0966 (0.0750) loss_cl: -0.3684 (-0.3674) time: 0.8672 data: 0.0003 max mem: 29859 [13:30:43.325302] Epoch: [283] [180/850] eta: 0:09:52 lr: 0.001843 loss: 0.0160 (0.0171) loss_rec_all: 0.0521 (0.0533) loss_rec_sfr: 0.0584 (0.0750) loss_cl: -0.3679 (-0.3675) time: 0.8617 data: 0.0002 max mem: 29859 [13:31:00.628036] Epoch: [283] [200/850] eta: 0:09:33 lr: 0.001843 loss: 0.0169 (0.0170) loss_rec_all: 0.0530 (0.0533) loss_rec_sfr: 0.0916 (0.0761) loss_cl: -0.3670 (-0.3674) time: 0.8651 data: 0.0002 max mem: 29859 [13:31:17.953683] Epoch: [283] [220/850] eta: 0:09:14 lr: 0.001843 loss: 0.0168 (0.0171) loss_rec_all: 0.0529 (0.0533) loss_rec_sfr: 0.0745 (0.0762) loss_cl: -0.3666 (-0.3673) time: 0.8662 data: 0.0003 max mem: 29859 [13:31:35.235446] Epoch: [283] [240/850] eta: 0:08:56 lr: 0.001843 loss: 0.0165 (0.0171) loss_rec_all: 0.0529 (0.0533) loss_rec_sfr: 0.0852 (0.0768) loss_cl: -0.3672 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [13:31:52.482165] Epoch: [283] [260/850] eta: 0:08:37 lr: 0.001843 loss: 0.0172 (0.0171) loss_rec_all: 0.0535 (0.0533) loss_rec_sfr: 0.0769 (0.0766) loss_cl: -0.3673 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [13:32:09.842531] Epoch: [283] [280/850] eta: 0:08:19 lr: 0.001842 loss: 0.0159 (0.0171) loss_rec_all: 0.0520 (0.0533) loss_rec_sfr: 0.0585 (0.0762) loss_cl: -0.3673 (-0.3673) time: 0.8679 data: 0.0003 max mem: 29859 [13:32:27.078154] Epoch: [283] [300/850] eta: 0:08:01 lr: 0.001842 loss: 0.0157 (0.0171) loss_rec_all: 0.0519 (0.0533) loss_rec_sfr: 0.0593 (0.0761) loss_cl: -0.3676 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [13:32:44.352988] Epoch: [283] [320/850] eta: 0:07:43 lr: 0.001842 loss: 0.0155 (0.0170) loss_rec_all: 0.0518 (0.0532) loss_rec_sfr: 0.0526 (0.0754) loss_cl: -0.3671 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [13:33:01.649353] Epoch: [283] [340/850] eta: 0:07:26 lr: 0.001842 loss: 0.0158 (0.0170) loss_rec_all: 0.0522 (0.0532) loss_rec_sfr: 0.0565 (0.0754) loss_cl: -0.3666 (-0.3673) time: 0.8648 data: 0.0003 max mem: 29859 [13:33:18.933113] Epoch: [283] [360/850] eta: 0:07:08 lr: 0.001842 loss: 0.0180 (0.0170) loss_rec_all: 0.0541 (0.0532) loss_rec_sfr: 0.0727 (0.0756) loss_cl: -0.3675 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [13:33:36.167028] Epoch: [283] [380/850] eta: 0:06:50 lr: 0.001842 loss: 0.0188 (0.0172) loss_rec_all: 0.0552 (0.0534) loss_rec_sfr: 0.0675 (0.0760) loss_cl: -0.3680 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [13:33:53.502387] Epoch: [283] [400/850] eta: 0:06:32 lr: 0.001842 loss: 0.0178 (0.0173) loss_rec_all: 0.0541 (0.0535) loss_rec_sfr: 0.0565 (0.0759) loss_cl: -0.3681 (-0.3674) time: 0.8667 data: 0.0003 max mem: 29859 [13:34:10.771139] Epoch: [283] [420/850] eta: 0:06:15 lr: 0.001842 loss: 0.0180 (0.0174) loss_rec_all: 0.0540 (0.0536) loss_rec_sfr: 0.0784 (0.0760) loss_cl: -0.3675 (-0.3674) time: 0.8634 data: 0.0003 max mem: 29859 [13:34:28.043789] Epoch: [283] [440/850] eta: 0:05:57 lr: 0.001842 loss: 0.0182 (0.0174) loss_rec_all: 0.0545 (0.0536) loss_rec_sfr: 0.0667 (0.0760) loss_cl: -0.3674 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [13:34:45.332918] Epoch: [283] [460/850] eta: 0:05:40 lr: 0.001842 loss: 0.0179 (0.0175) loss_rec_all: 0.0539 (0.0537) loss_rec_sfr: 0.0770 (0.0762) loss_cl: -0.3676 (-0.3674) time: 0.8644 data: 0.0003 max mem: 29859 [13:35:02.667824] Epoch: [283] [480/850] eta: 0:05:22 lr: 0.001841 loss: 0.0164 (0.0175) loss_rec_all: 0.0529 (0.0537) loss_rec_sfr: 0.0590 (0.0759) loss_cl: -0.3678 (-0.3674) time: 0.8667 data: 0.0003 max mem: 29859 [13:35:19.898456] Epoch: [283] [500/850] eta: 0:05:04 lr: 0.001841 loss: 0.0172 (0.0175) loss_rec_all: 0.0532 (0.0537) loss_rec_sfr: 0.0825 (0.0762) loss_cl: -0.3674 (-0.3674) time: 0.8615 data: 0.0002 max mem: 29859 [13:35:37.223535] Epoch: [283] [520/850] eta: 0:04:47 lr: 0.001841 loss: 0.0181 (0.0175) loss_rec_all: 0.0543 (0.0537) loss_rec_sfr: 0.0800 (0.0764) loss_cl: -0.3667 (-0.3673) time: 0.8662 data: 0.0003 max mem: 29859 [13:35:54.498212] Epoch: [283] [540/850] eta: 0:04:29 lr: 0.001841 loss: 0.0177 (0.0175) loss_rec_all: 0.0537 (0.0537) loss_rec_sfr: 0.0763 (0.0765) loss_cl: -0.3658 (-0.3673) time: 0.8637 data: 0.0003 max mem: 29859 [13:36:11.772773] Epoch: [283] [560/850] eta: 0:04:12 lr: 0.001841 loss: 0.0165 (0.0175) loss_rec_all: 0.0527 (0.0537) loss_rec_sfr: 0.0604 (0.0761) loss_cl: -0.3665 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [13:36:29.052671] Epoch: [283] [580/850] eta: 0:03:54 lr: 0.001841 loss: 0.0162 (0.0175) loss_rec_all: 0.0523 (0.0537) loss_rec_sfr: 0.0595 (0.0762) loss_cl: -0.3672 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [13:36:46.405214] Epoch: [283] [600/850] eta: 0:03:37 lr: 0.001841 loss: 0.0160 (0.0174) loss_rec_all: 0.0525 (0.0536) loss_rec_sfr: 0.0664 (0.0760) loss_cl: -0.3679 (-0.3673) time: 0.8676 data: 0.0002 max mem: 29859 [13:37:03.651116] Epoch: [283] [620/850] eta: 0:03:20 lr: 0.001841 loss: 0.0167 (0.0174) loss_rec_all: 0.0529 (0.0536) loss_rec_sfr: 0.0878 (0.0763) loss_cl: -0.3680 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [13:37:20.948151] Epoch: [283] [640/850] eta: 0:03:02 lr: 0.001841 loss: 0.0157 (0.0174) loss_rec_all: 0.0518 (0.0536) loss_rec_sfr: 0.0562 (0.0763) loss_cl: -0.3673 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [13:37:38.265747] Epoch: [283] [660/850] eta: 0:02:45 lr: 0.001841 loss: 0.0168 (0.0174) loss_rec_all: 0.0529 (0.0536) loss_rec_sfr: 0.0611 (0.0764) loss_cl: -0.3674 (-0.3673) time: 0.8658 data: 0.0003 max mem: 29859 [13:37:55.555489] Epoch: [283] [680/850] eta: 0:02:27 lr: 0.001840 loss: 0.0175 (0.0174) loss_rec_all: 0.0538 (0.0536) loss_rec_sfr: 0.0618 (0.0764) loss_cl: -0.3673 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [13:38:12.816412] Epoch: [283] [700/850] eta: 0:02:10 lr: 0.001840 loss: 0.0171 (0.0174) loss_rec_all: 0.0531 (0.0536) loss_rec_sfr: 0.0646 (0.0765) loss_cl: -0.3675 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [13:38:30.202196] Epoch: [283] [720/850] eta: 0:01:53 lr: 0.001840 loss: 0.0174 (0.0174) loss_rec_all: 0.0537 (0.0536) loss_rec_sfr: 0.0924 (0.0768) loss_cl: -0.3674 (-0.3673) time: 0.8692 data: 0.0004 max mem: 29859 [13:38:47.440703] Epoch: [283] [740/850] eta: 0:01:35 lr: 0.001840 loss: 0.0174 (0.0174) loss_rec_all: 0.0537 (0.0536) loss_rec_sfr: 0.0562 (0.0766) loss_cl: -0.3673 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [13:39:04.711678] Epoch: [283] [760/850] eta: 0:01:18 lr: 0.001840 loss: 0.0188 (0.0175) loss_rec_all: 0.0550 (0.0537) loss_rec_sfr: 0.0766 (0.0767) loss_cl: -0.3680 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [13:39:22.037841] Epoch: [283] [780/850] eta: 0:01:00 lr: 0.001840 loss: 0.0166 (0.0175) loss_rec_all: 0.0528 (0.0537) loss_rec_sfr: 0.0541 (0.0766) loss_cl: -0.3678 (-0.3673) time: 0.8662 data: 0.0003 max mem: 29859 [13:39:39.339304] Epoch: [283] [800/850] eta: 0:00:43 lr: 0.001840 loss: 0.0180 (0.0175) loss_rec_all: 0.0542 (0.0537) loss_rec_sfr: 0.0588 (0.0765) loss_cl: -0.3675 (-0.3673) time: 0.8650 data: 0.0002 max mem: 29859 [13:39:56.579123] Epoch: [283] [820/850] eta: 0:00:26 lr: 0.001840 loss: 0.0189 (0.0176) loss_rec_all: 0.0549 (0.0538) loss_rec_sfr: 0.0612 (0.0765) loss_cl: -0.3671 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [13:40:13.942834] Epoch: [283] [840/850] eta: 0:00:08 lr: 0.001840 loss: 0.0169 (0.0176) loss_rec_all: 0.0531 (0.0538) loss_rec_sfr: 0.0596 (0.0765) loss_cl: -0.3671 (-0.3673) time: 0.8681 data: 0.0013 max mem: 29859 [13:40:21.733546] Epoch: [283] [849/850] eta: 0:00:00 lr: 0.001840 loss: 0.0164 (0.0176) loss_rec_all: 0.0527 (0.0538) loss_rec_sfr: 0.0580 (0.0765) loss_cl: -0.3671 (-0.3673) time: 0.8693 data: 0.0013 max mem: 29859 [13:40:21.862676] Epoch: [283] Total time: 0:12:18 (0.8688 s / it) [13:40:21.879536] Averaged stats: lr: 0.001840 loss: 0.0164 (0.0176) loss_rec_all: 0.0527 (0.0538) loss_rec_sfr: 0.0580 (0.0762) loss_cl: -0.3671 (-0.3673) [13:40:21.888174] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [13:40:26.029669] Epoch: [284] [ 0/850] eta: 0:58:39 lr: 0.001840 loss: 0.0143 (0.0143) loss_rec_all: 0.0506 (0.0506) loss_rec_sfr: 0.0535 (0.0535) loss_cl: -0.3674 (-0.3674) time: 4.1408 data: 3.2854 max mem: 29859 [13:40:43.234808] Epoch: [284] [ 20/850] eta: 0:14:03 lr: 0.001840 loss: 0.0169 (0.0175) loss_rec_all: 0.0532 (0.0537) loss_rec_sfr: 0.0787 (0.0761) loss_cl: -0.3667 (-0.3668) time: 0.8602 data: 0.0002 max mem: 29859 [13:41:00.503089] Epoch: [284] [ 40/850] eta: 0:12:42 lr: 0.001839 loss: 0.0159 (0.0170) loss_rec_all: 0.0523 (0.0532) loss_rec_sfr: 0.0530 (0.0714) loss_cl: -0.3672 (-0.3670) time: 0.8633 data: 0.0002 max mem: 29859 [13:41:17.788413] Epoch: [284] [ 60/850] eta: 0:12:03 lr: 0.001839 loss: 0.0152 (0.0167) loss_rec_all: 0.0516 (0.0529) loss_rec_sfr: 0.0824 (0.0738) loss_cl: -0.3677 (-0.3673) time: 0.8642 data: 0.0003 max mem: 29859 [13:41:35.054361] Epoch: [284] [ 80/850] eta: 0:11:35 lr: 0.001839 loss: 0.0178 (0.0169) loss_rec_all: 0.0538 (0.0531) loss_rec_sfr: 0.0871 (0.0772) loss_cl: -0.3674 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [13:41:52.299788] Epoch: [284] [100/850] eta: 0:11:11 lr: 0.001839 loss: 0.0157 (0.0168) loss_rec_all: 0.0518 (0.0530) loss_rec_sfr: 0.0761 (0.0779) loss_cl: -0.3669 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [13:42:09.677697] Epoch: [284] [120/850] eta: 0:10:50 lr: 0.001839 loss: 0.0168 (0.0169) loss_rec_all: 0.0529 (0.0531) loss_rec_sfr: 0.0746 (0.0775) loss_cl: -0.3667 (-0.3671) time: 0.8688 data: 0.0004 max mem: 29859 [13:42:26.920993] Epoch: [284] [140/850] eta: 0:10:29 lr: 0.001839 loss: 0.0170 (0.0169) loss_rec_all: 0.0532 (0.0531) loss_rec_sfr: 0.0805 (0.0776) loss_cl: -0.3674 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [13:42:44.198491] Epoch: [284] [160/850] eta: 0:10:09 lr: 0.001839 loss: 0.0174 (0.0170) loss_rec_all: 0.0534 (0.0532) loss_rec_sfr: 0.0749 (0.0778) loss_cl: -0.3681 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [13:43:01.520754] Epoch: [284] [180/850] eta: 0:09:50 lr: 0.001839 loss: 0.0168 (0.0170) loss_rec_all: 0.0529 (0.0532) loss_rec_sfr: 0.0773 (0.0779) loss_cl: -0.3681 (-0.3673) time: 0.8660 data: 0.0004 max mem: 29859 [13:43:18.810900] Epoch: [284] [200/850] eta: 0:09:32 lr: 0.001839 loss: 0.0174 (0.0171) loss_rec_all: 0.0535 (0.0533) loss_rec_sfr: 0.0770 (0.0781) loss_cl: -0.3675 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [13:43:36.035188] Epoch: [284] [220/850] eta: 0:09:13 lr: 0.001839 loss: 0.0164 (0.0171) loss_rec_all: 0.0526 (0.0533) loss_rec_sfr: 0.0551 (0.0771) loss_cl: -0.3671 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [13:43:53.386709] Epoch: [284] [240/850] eta: 0:08:55 lr: 0.001838 loss: 0.0154 (0.0170) loss_rec_all: 0.0516 (0.0532) loss_rec_sfr: 0.0532 (0.0763) loss_cl: -0.3671 (-0.3673) time: 0.8675 data: 0.0003 max mem: 29859 [13:44:10.646579] Epoch: [284] [260/850] eta: 0:08:37 lr: 0.001838 loss: 0.0163 (0.0170) loss_rec_all: 0.0526 (0.0532) loss_rec_sfr: 0.0725 (0.0767) loss_cl: -0.3674 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [13:44:27.946902] Epoch: [284] [280/850] eta: 0:08:19 lr: 0.001838 loss: 0.0166 (0.0170) loss_rec_all: 0.0528 (0.0532) loss_rec_sfr: 0.0735 (0.0768) loss_cl: -0.3670 (-0.3673) time: 0.8650 data: 0.0002 max mem: 29859 [13:44:45.247535] Epoch: [284] [300/850] eta: 0:08:01 lr: 0.001838 loss: 0.0180 (0.0171) loss_rec_all: 0.0541 (0.0533) loss_rec_sfr: 0.0637 (0.0768) loss_cl: -0.3669 (-0.3672) time: 0.8650 data: 0.0003 max mem: 29859 [13:45:02.600211] Epoch: [284] [320/850] eta: 0:07:43 lr: 0.001838 loss: 0.0189 (0.0172) loss_rec_all: 0.0551 (0.0534) loss_rec_sfr: 0.0684 (0.0770) loss_cl: -0.3676 (-0.3673) time: 0.8676 data: 0.0003 max mem: 29859 [13:45:19.846688] Epoch: [284] [340/850] eta: 0:07:25 lr: 0.001838 loss: 0.0177 (0.0173) loss_rec_all: 0.0539 (0.0535) loss_rec_sfr: 0.0777 (0.0771) loss_cl: -0.3681 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [13:45:37.153741] Epoch: [284] [360/850] eta: 0:07:07 lr: 0.001838 loss: 0.0176 (0.0173) loss_rec_all: 0.0540 (0.0535) loss_rec_sfr: 0.0693 (0.0771) loss_cl: -0.3679 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [13:45:54.457502] Epoch: [284] [380/850] eta: 0:06:50 lr: 0.001838 loss: 0.0180 (0.0174) loss_rec_all: 0.0542 (0.0536) loss_rec_sfr: 0.0641 (0.0772) loss_cl: -0.3677 (-0.3674) time: 0.8651 data: 0.0003 max mem: 29859 [13:46:11.731267] Epoch: [284] [400/850] eta: 0:06:32 lr: 0.001838 loss: 0.0176 (0.0174) loss_rec_all: 0.0539 (0.0536) loss_rec_sfr: 0.0624 (0.0772) loss_cl: -0.3670 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [13:46:28.984784] Epoch: [284] [420/850] eta: 0:06:14 lr: 0.001838 loss: 0.0160 (0.0174) loss_rec_all: 0.0524 (0.0536) loss_rec_sfr: 0.0529 (0.0767) loss_cl: -0.3669 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [13:46:46.364049] Epoch: [284] [440/850] eta: 0:05:57 lr: 0.001837 loss: 0.0162 (0.0174) loss_rec_all: 0.0525 (0.0536) loss_rec_sfr: 0.0610 (0.0767) loss_cl: -0.3675 (-0.3673) time: 0.8689 data: 0.0003 max mem: 29859 [13:47:03.604875] Epoch: [284] [460/850] eta: 0:05:39 lr: 0.001837 loss: 0.0164 (0.0174) loss_rec_all: 0.0527 (0.0536) loss_rec_sfr: 0.0650 (0.0767) loss_cl: -0.3678 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [13:47:20.892363] Epoch: [284] [480/850] eta: 0:05:22 lr: 0.001837 loss: 0.0167 (0.0174) loss_rec_all: 0.0528 (0.0536) loss_rec_sfr: 0.0765 (0.0767) loss_cl: -0.3681 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [13:47:38.209860] Epoch: [284] [500/850] eta: 0:05:04 lr: 0.001837 loss: 0.0172 (0.0174) loss_rec_all: 0.0532 (0.0536) loss_rec_sfr: 0.0809 (0.0768) loss_cl: -0.3676 (-0.3674) time: 0.8658 data: 0.0003 max mem: 29859 [13:47:55.498491] Epoch: [284] [520/850] eta: 0:04:47 lr: 0.001837 loss: 0.0163 (0.0174) loss_rec_all: 0.0525 (0.0536) loss_rec_sfr: 0.0574 (0.0766) loss_cl: -0.3670 (-0.3674) time: 0.8644 data: 0.0002 max mem: 29859 [13:48:12.732702] Epoch: [284] [540/850] eta: 0:04:29 lr: 0.001837 loss: 0.0167 (0.0173) loss_rec_all: 0.0528 (0.0535) loss_rec_sfr: 0.0759 (0.0767) loss_cl: -0.3668 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [13:48:30.097679] Epoch: [284] [560/850] eta: 0:04:12 lr: 0.001837 loss: 0.0181 (0.0173) loss_rec_all: 0.0542 (0.0535) loss_rec_sfr: 0.0753 (0.0768) loss_cl: -0.3668 (-0.3673) time: 0.8682 data: 0.0003 max mem: 29859 [13:48:47.351435] Epoch: [284] [580/850] eta: 0:03:54 lr: 0.001837 loss: 0.0166 (0.0173) loss_rec_all: 0.0529 (0.0535) loss_rec_sfr: 0.0576 (0.0766) loss_cl: -0.3669 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [13:49:04.630254] Epoch: [284] [600/850] eta: 0:03:37 lr: 0.001837 loss: 0.0174 (0.0174) loss_rec_all: 0.0534 (0.0535) loss_rec_sfr: 0.0770 (0.0767) loss_cl: -0.3670 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [13:49:21.926219] Epoch: [284] [620/850] eta: 0:03:20 lr: 0.001837 loss: 0.0170 (0.0174) loss_rec_all: 0.0534 (0.0536) loss_rec_sfr: 0.0581 (0.0766) loss_cl: -0.3673 (-0.3673) time: 0.8647 data: 0.0003 max mem: 29859 [13:49:39.257582] Epoch: [284] [640/850] eta: 0:03:02 lr: 0.001836 loss: 0.0179 (0.0174) loss_rec_all: 0.0542 (0.0536) loss_rec_sfr: 0.0772 (0.0768) loss_cl: -0.3678 (-0.3673) time: 0.8665 data: 0.0003 max mem: 29859 [13:49:56.498038] Epoch: [284] [660/850] eta: 0:02:45 lr: 0.001836 loss: 0.0166 (0.0174) loss_rec_all: 0.0528 (0.0536) loss_rec_sfr: 0.0614 (0.0770) loss_cl: -0.3681 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [13:50:13.806470] Epoch: [284] [680/850] eta: 0:02:27 lr: 0.001836 loss: 0.0178 (0.0174) loss_rec_all: 0.0540 (0.0536) loss_rec_sfr: 0.0750 (0.0770) loss_cl: -0.3677 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [13:50:31.132915] Epoch: [284] [700/850] eta: 0:02:10 lr: 0.001836 loss: 0.0173 (0.0174) loss_rec_all: 0.0536 (0.0536) loss_rec_sfr: 0.0591 (0.0769) loss_cl: -0.3675 (-0.3673) time: 0.8663 data: 0.0003 max mem: 29859 [13:50:48.416325] Epoch: [284] [720/850] eta: 0:01:52 lr: 0.001836 loss: 0.0172 (0.0174) loss_rec_all: 0.0531 (0.0536) loss_rec_sfr: 0.0601 (0.0769) loss_cl: -0.3671 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [13:51:05.670298] Epoch: [284] [740/850] eta: 0:01:35 lr: 0.001836 loss: 0.0167 (0.0174) loss_rec_all: 0.0530 (0.0536) loss_rec_sfr: 0.0759 (0.0771) loss_cl: -0.3672 (-0.3673) time: 0.8626 data: 0.0003 max mem: 29859 [13:51:23.028880] Epoch: [284] [760/850] eta: 0:01:18 lr: 0.001836 loss: 0.0153 (0.0174) loss_rec_all: 0.0517 (0.0536) loss_rec_sfr: 0.0580 (0.0769) loss_cl: -0.3676 (-0.3673) time: 0.8678 data: 0.0004 max mem: 29859 [13:51:40.267794] Epoch: [284] [780/850] eta: 0:01:00 lr: 0.001836 loss: 0.0158 (0.0174) loss_rec_all: 0.0521 (0.0536) loss_rec_sfr: 0.0578 (0.0767) loss_cl: -0.3673 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [13:51:57.545253] Epoch: [284] [800/850] eta: 0:00:43 lr: 0.001836 loss: 0.0161 (0.0174) loss_rec_all: 0.0524 (0.0536) loss_rec_sfr: 0.0540 (0.0765) loss_cl: -0.3673 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [13:52:14.847863] Epoch: [284] [820/850] eta: 0:00:26 lr: 0.001836 loss: 0.0160 (0.0173) loss_rec_all: 0.0523 (0.0535) loss_rec_sfr: 0.0539 (0.0762) loss_cl: -0.3672 (-0.3673) time: 0.8651 data: 0.0003 max mem: 29859 [13:52:32.130122] Epoch: [284] [840/850] eta: 0:00:08 lr: 0.001835 loss: 0.0160 (0.0173) loss_rec_all: 0.0523 (0.0535) loss_rec_sfr: 0.0568 (0.0761) loss_cl: -0.3673 (-0.3673) time: 0.8641 data: 0.0005 max mem: 29859 [13:52:39.883236] Epoch: [284] [849/850] eta: 0:00:00 lr: 0.001835 loss: 0.0164 (0.0173) loss_rec_all: 0.0524 (0.0535) loss_rec_sfr: 0.0580 (0.0761) loss_cl: -0.3673 (-0.3673) time: 0.8634 data: 0.0004 max mem: 29859 [13:52:40.012906] Epoch: [284] Total time: 0:12:18 (0.8684 s / it) [13:52:40.015542] Averaged stats: lr: 0.001835 loss: 0.0164 (0.0173) loss_rec_all: 0.0524 (0.0535) loss_rec_sfr: 0.0580 (0.0760) loss_cl: -0.3673 (-0.3673) [13:52:40.028252] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [13:52:44.113309] Epoch: [285] [ 0/850] eta: 0:57:51 lr: 0.001835 loss: 0.0152 (0.0152) loss_rec_all: 0.0516 (0.0516) loss_rec_sfr: 0.0528 (0.0528) loss_cl: -0.3675 (-0.3675) time: 4.0843 data: 3.2289 max mem: 29859 [13:53:01.319367] Epoch: [285] [ 20/850] eta: 0:14:01 lr: 0.001835 loss: 0.0169 (0.0172) loss_rec_all: 0.0529 (0.0533) loss_rec_sfr: 0.0894 (0.0889) loss_cl: -0.3670 (-0.3670) time: 0.8602 data: 0.0002 max mem: 29859 [13:53:18.628617] Epoch: [285] [ 40/850] eta: 0:12:42 lr: 0.001835 loss: 0.0150 (0.0165) loss_rec_all: 0.0514 (0.0527) loss_rec_sfr: 0.0506 (0.0742) loss_cl: -0.3672 (-0.3671) time: 0.8654 data: 0.0003 max mem: 29859 [13:53:35.860471] Epoch: [285] [ 60/850] eta: 0:12:03 lr: 0.001835 loss: 0.0150 (0.0164) loss_rec_all: 0.0514 (0.0526) loss_rec_sfr: 0.0540 (0.0716) loss_cl: -0.3674 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [13:53:53.164988] Epoch: [285] [ 80/850] eta: 0:11:35 lr: 0.001835 loss: 0.0157 (0.0165) loss_rec_all: 0.0521 (0.0527) loss_rec_sfr: 0.0560 (0.0703) loss_cl: -0.3680 (-0.3674) time: 0.8651 data: 0.0002 max mem: 29859 [13:54:10.513675] Epoch: [285] [100/850] eta: 0:11:11 lr: 0.001835 loss: 0.0188 (0.0173) loss_rec_all: 0.0550 (0.0535) loss_rec_sfr: 0.0601 (0.0714) loss_cl: -0.3679 (-0.3675) time: 0.8674 data: 0.0004 max mem: 29859 [13:54:27.806010] Epoch: [285] [120/850] eta: 0:10:50 lr: 0.001835 loss: 0.0180 (0.0175) loss_rec_all: 0.0543 (0.0537) loss_rec_sfr: 0.0755 (0.0733) loss_cl: -0.3677 (-0.3675) time: 0.8646 data: 0.0002 max mem: 29859 [13:54:45.058582] Epoch: [285] [140/850] eta: 0:10:29 lr: 0.001835 loss: 0.0184 (0.0178) loss_rec_all: 0.0546 (0.0540) loss_rec_sfr: 0.0605 (0.0740) loss_cl: -0.3679 (-0.3675) time: 0.8626 data: 0.0002 max mem: 29859 [13:55:02.446810] Epoch: [285] [160/850] eta: 0:10:10 lr: 0.001835 loss: 0.0208 (0.0183) loss_rec_all: 0.0569 (0.0545) loss_rec_sfr: 0.0808 (0.0754) loss_cl: -0.3676 (-0.3676) time: 0.8694 data: 0.0003 max mem: 29859 [13:55:19.692653] Epoch: [285] [180/850] eta: 0:09:50 lr: 0.001835 loss: 0.0179 (0.0184) loss_rec_all: 0.0544 (0.0546) loss_rec_sfr: 0.0561 (0.0745) loss_cl: -0.3677 (-0.3676) time: 0.8622 data: 0.0002 max mem: 29859 [13:55:36.957815] Epoch: [285] [200/850] eta: 0:09:32 lr: 0.001834 loss: 0.0192 (0.0185) loss_rec_all: 0.0554 (0.0547) loss_rec_sfr: 0.0671 (0.0747) loss_cl: -0.3668 (-0.3675) time: 0.8632 data: 0.0002 max mem: 29859 [13:55:54.295436] Epoch: [285] [220/850] eta: 0:09:13 lr: 0.001834 loss: 0.0169 (0.0184) loss_rec_all: 0.0530 (0.0546) loss_rec_sfr: 0.0542 (0.0735) loss_cl: -0.3662 (-0.3674) time: 0.8668 data: 0.0003 max mem: 29859 [13:56:11.605970] Epoch: [285] [240/850] eta: 0:08:55 lr: 0.001834 loss: 0.0178 (0.0184) loss_rec_all: 0.0538 (0.0546) loss_rec_sfr: 0.0928 (0.0748) loss_cl: -0.3659 (-0.3673) time: 0.8655 data: 0.0002 max mem: 29859 [13:56:28.846906] Epoch: [285] [260/850] eta: 0:08:37 lr: 0.001834 loss: 0.0155 (0.0182) loss_rec_all: 0.0519 (0.0544) loss_rec_sfr: 0.0590 (0.0742) loss_cl: -0.3663 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [13:56:46.186107] Epoch: [285] [280/850] eta: 0:08:19 lr: 0.001834 loss: 0.0159 (0.0181) loss_rec_all: 0.0523 (0.0543) loss_rec_sfr: 0.0519 (0.0740) loss_cl: -0.3674 (-0.3672) time: 0.8669 data: 0.0002 max mem: 29859 [13:57:03.462899] Epoch: [285] [300/850] eta: 0:08:01 lr: 0.001834 loss: 0.0163 (0.0181) loss_rec_all: 0.0526 (0.0543) loss_rec_sfr: 0.0748 (0.0739) loss_cl: -0.3683 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [13:57:20.745953] Epoch: [285] [320/850] eta: 0:07:43 lr: 0.001834 loss: 0.0166 (0.0180) loss_rec_all: 0.0528 (0.0542) loss_rec_sfr: 0.0756 (0.0743) loss_cl: -0.3686 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [13:57:38.028862] Epoch: [285] [340/850] eta: 0:07:25 lr: 0.001834 loss: 0.0163 (0.0179) loss_rec_all: 0.0524 (0.0542) loss_rec_sfr: 0.0773 (0.0745) loss_cl: -0.3686 (-0.3674) time: 0.8640 data: 0.0003 max mem: 29859 [13:57:55.386336] Epoch: [285] [360/850] eta: 0:07:08 lr: 0.001834 loss: 0.0178 (0.0179) loss_rec_all: 0.0541 (0.0541) loss_rec_sfr: 0.0776 (0.0748) loss_cl: -0.3678 (-0.3674) time: 0.8678 data: 0.0003 max mem: 29859 [13:58:12.623874] Epoch: [285] [380/850] eta: 0:06:50 lr: 0.001834 loss: 0.0153 (0.0178) loss_rec_all: 0.0516 (0.0540) loss_rec_sfr: 0.0528 (0.0746) loss_cl: -0.3671 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [13:58:29.923851] Epoch: [285] [400/850] eta: 0:06:32 lr: 0.001833 loss: 0.0166 (0.0177) loss_rec_all: 0.0527 (0.0540) loss_rec_sfr: 0.0604 (0.0750) loss_cl: -0.3661 (-0.3673) time: 0.8649 data: 0.0003 max mem: 29859 [13:58:47.251519] Epoch: [285] [420/850] eta: 0:06:15 lr: 0.001833 loss: 0.0188 (0.0178) loss_rec_all: 0.0547 (0.0540) loss_rec_sfr: 0.0748 (0.0754) loss_cl: -0.3665 (-0.3673) time: 0.8663 data: 0.0003 max mem: 29859 [13:59:04.508609] Epoch: [285] [440/850] eta: 0:05:57 lr: 0.001833 loss: 0.0187 (0.0179) loss_rec_all: 0.0547 (0.0541) loss_rec_sfr: 0.0810 (0.0756) loss_cl: -0.3671 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [13:59:21.734589] Epoch: [285] [460/850] eta: 0:05:39 lr: 0.001833 loss: 0.0194 (0.0180) loss_rec_all: 0.0553 (0.0542) loss_rec_sfr: 0.0965 (0.0764) loss_cl: -0.3677 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [13:59:39.109180] Epoch: [285] [480/850] eta: 0:05:22 lr: 0.001833 loss: 0.0186 (0.0181) loss_rec_all: 0.0550 (0.0543) loss_rec_sfr: 0.0782 (0.0768) loss_cl: -0.3683 (-0.3673) time: 0.8687 data: 0.0003 max mem: 29859 [13:59:56.347422] Epoch: [285] [500/850] eta: 0:05:04 lr: 0.001833 loss: 0.0180 (0.0181) loss_rec_all: 0.0540 (0.0543) loss_rec_sfr: 0.0988 (0.0773) loss_cl: -0.3678 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [14:00:13.602539] Epoch: [285] [520/850] eta: 0:04:47 lr: 0.001833 loss: 0.0173 (0.0181) loss_rec_all: 0.0534 (0.0543) loss_rec_sfr: 0.0581 (0.0771) loss_cl: -0.3670 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [14:00:30.881450] Epoch: [285] [540/850] eta: 0:04:29 lr: 0.001833 loss: 0.0164 (0.0181) loss_rec_all: 0.0526 (0.0543) loss_rec_sfr: 0.0610 (0.0769) loss_cl: -0.3667 (-0.3673) time: 0.8639 data: 0.0003 max mem: 29859 [14:00:48.155273] Epoch: [285] [560/850] eta: 0:04:12 lr: 0.001833 loss: 0.0164 (0.0180) loss_rec_all: 0.0525 (0.0542) loss_rec_sfr: 0.0740 (0.0768) loss_cl: -0.3666 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [14:01:05.366747] Epoch: [285] [580/850] eta: 0:03:54 lr: 0.001833 loss: 0.0174 (0.0180) loss_rec_all: 0.0534 (0.0542) loss_rec_sfr: 0.0744 (0.0769) loss_cl: -0.3667 (-0.3673) time: 0.8605 data: 0.0002 max mem: 29859 [14:01:22.648978] Epoch: [285] [600/850] eta: 0:03:37 lr: 0.001832 loss: 0.0164 (0.0179) loss_rec_all: 0.0526 (0.0541) loss_rec_sfr: 0.0751 (0.0767) loss_cl: -0.3671 (-0.3673) time: 0.8640 data: 0.0003 max mem: 29859 [14:01:39.909147] Epoch: [285] [620/850] eta: 0:03:19 lr: 0.001832 loss: 0.0147 (0.0179) loss_rec_all: 0.0509 (0.0541) loss_rec_sfr: 0.0584 (0.0765) loss_cl: -0.3673 (-0.3673) time: 0.8630 data: 0.0003 max mem: 29859 [14:01:57.169504] Epoch: [285] [640/850] eta: 0:03:02 lr: 0.001832 loss: 0.0147 (0.0178) loss_rec_all: 0.0510 (0.0540) loss_rec_sfr: 0.0555 (0.0762) loss_cl: -0.3675 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [14:02:14.400810] Epoch: [285] [660/850] eta: 0:02:45 lr: 0.001832 loss: 0.0151 (0.0177) loss_rec_all: 0.0511 (0.0539) loss_rec_sfr: 0.0555 (0.0759) loss_cl: -0.3673 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [14:02:31.717420] Epoch: [285] [680/850] eta: 0:02:27 lr: 0.001832 loss: 0.0151 (0.0177) loss_rec_all: 0.0515 (0.0539) loss_rec_sfr: 0.0514 (0.0758) loss_cl: -0.3675 (-0.3673) time: 0.8658 data: 0.0003 max mem: 29859 [14:02:48.949259] Epoch: [285] [700/850] eta: 0:02:10 lr: 0.001832 loss: 0.0155 (0.0176) loss_rec_all: 0.0517 (0.0538) loss_rec_sfr: 0.0560 (0.0755) loss_cl: -0.3679 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [14:03:06.236637] Epoch: [285] [720/850] eta: 0:01:52 lr: 0.001832 loss: 0.0157 (0.0176) loss_rec_all: 0.0521 (0.0538) loss_rec_sfr: 0.0631 (0.0755) loss_cl: -0.3678 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [14:03:23.545981] Epoch: [285] [740/850] eta: 0:01:35 lr: 0.001832 loss: 0.0157 (0.0175) loss_rec_all: 0.0520 (0.0538) loss_rec_sfr: 0.0567 (0.0753) loss_cl: -0.3674 (-0.3673) time: 0.8654 data: 0.0003 max mem: 29859 [14:03:40.827058] Epoch: [285] [760/850] eta: 0:01:18 lr: 0.001832 loss: 0.0164 (0.0175) loss_rec_all: 0.0526 (0.0537) loss_rec_sfr: 0.0622 (0.0752) loss_cl: -0.3675 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [14:03:58.060629] Epoch: [285] [780/850] eta: 0:01:00 lr: 0.001832 loss: 0.0174 (0.0175) loss_rec_all: 0.0533 (0.0537) loss_rec_sfr: 0.0892 (0.0755) loss_cl: -0.3676 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [14:04:15.423262] Epoch: [285] [800/850] eta: 0:00:43 lr: 0.001831 loss: 0.0165 (0.0175) loss_rec_all: 0.0528 (0.0537) loss_rec_sfr: 0.0583 (0.0754) loss_cl: -0.3671 (-0.3673) time: 0.8681 data: 0.0003 max mem: 29859 [14:04:32.673109] Epoch: [285] [820/850] eta: 0:00:26 lr: 0.001831 loss: 0.0156 (0.0175) loss_rec_all: 0.0520 (0.0537) loss_rec_sfr: 0.0541 (0.0752) loss_cl: -0.3672 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [14:04:49.963502] Epoch: [285] [840/850] eta: 0:00:08 lr: 0.001831 loss: 0.0161 (0.0175) loss_rec_all: 0.0524 (0.0537) loss_rec_sfr: 0.0524 (0.0750) loss_cl: -0.3670 (-0.3673) time: 0.8645 data: 0.0012 max mem: 29859 [14:04:57.733796] Epoch: [285] [849/850] eta: 0:00:00 lr: 0.001831 loss: 0.0179 (0.0175) loss_rec_all: 0.0537 (0.0537) loss_rec_sfr: 0.0772 (0.0751) loss_cl: -0.3671 (-0.3673) time: 0.8648 data: 0.0012 max mem: 29859 [14:04:57.870155] Epoch: [285] Total time: 0:12:17 (0.8680 s / it) [14:04:57.887172] Averaged stats: lr: 0.001831 loss: 0.0179 (0.0174) loss_rec_all: 0.0537 (0.0536) loss_rec_sfr: 0.0772 (0.0746) loss_cl: -0.3671 (-0.3673) [14:04:57.903132] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [14:05:02.794988] Epoch: [286] [ 0/850] eta: 1:09:17 lr: 0.001831 loss: 0.0139 (0.0139) loss_rec_all: 0.0503 (0.0503) loss_rec_sfr: 0.0497 (0.0497) loss_cl: -0.3672 (-0.3672) time: 4.8908 data: 4.0330 max mem: 29859 [14:05:20.014350] Epoch: [286] [ 20/850] eta: 0:14:33 lr: 0.001831 loss: 0.0162 (0.0170) loss_rec_all: 0.0525 (0.0532) loss_rec_sfr: 0.0587 (0.0723) loss_cl: -0.3673 (-0.3673) time: 0.8609 data: 0.0003 max mem: 29859 [14:05:37.263990] Epoch: [286] [ 40/850] eta: 0:12:57 lr: 0.001831 loss: 0.0169 (0.0169) loss_rec_all: 0.0531 (0.0531) loss_rec_sfr: 0.0909 (0.0798) loss_cl: -0.3676 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [14:05:54.541482] Epoch: [286] [ 60/850] eta: 0:12:13 lr: 0.001831 loss: 0.0177 (0.0173) loss_rec_all: 0.0538 (0.0535) loss_rec_sfr: 0.0798 (0.0810) loss_cl: -0.3679 (-0.3675) time: 0.8638 data: 0.0003 max mem: 29859 [14:06:11.872649] Epoch: [286] [ 80/850] eta: 0:11:43 lr: 0.001831 loss: 0.0171 (0.0173) loss_rec_all: 0.0531 (0.0535) loss_rec_sfr: 0.0985 (0.0825) loss_cl: -0.3673 (-0.3675) time: 0.8665 data: 0.0003 max mem: 29859 [14:06:29.111197] Epoch: [286] [100/850] eta: 0:11:17 lr: 0.001831 loss: 0.0177 (0.0175) loss_rec_all: 0.0541 (0.0536) loss_rec_sfr: 0.0758 (0.0818) loss_cl: -0.3675 (-0.3675) time: 0.8618 data: 0.0002 max mem: 29859 [14:06:46.426673] Epoch: [286] [120/850] eta: 0:10:54 lr: 0.001831 loss: 0.0170 (0.0176) loss_rec_all: 0.0534 (0.0538) loss_rec_sfr: 0.0783 (0.0826) loss_cl: -0.3673 (-0.3674) time: 0.8657 data: 0.0002 max mem: 29859 [14:07:03.737684] Epoch: [286] [140/850] eta: 0:10:33 lr: 0.001831 loss: 0.0180 (0.0177) loss_rec_all: 0.0539 (0.0538) loss_rec_sfr: 0.0795 (0.0828) loss_cl: -0.3670 (-0.3674) time: 0.8655 data: 0.0003 max mem: 29859 [14:07:21.017926] Epoch: [286] [160/850] eta: 0:10:13 lr: 0.001830 loss: 0.0177 (0.0177) loss_rec_all: 0.0536 (0.0539) loss_rec_sfr: 0.0780 (0.0826) loss_cl: -0.3679 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [14:07:38.263494] Epoch: [286] [180/850] eta: 0:09:53 lr: 0.001830 loss: 0.0170 (0.0177) loss_rec_all: 0.0532 (0.0538) loss_rec_sfr: 0.0817 (0.0828) loss_cl: -0.3680 (-0.3675) time: 0.8622 data: 0.0002 max mem: 29859 [14:07:55.641099] Epoch: [286] [200/850] eta: 0:09:34 lr: 0.001830 loss: 0.0179 (0.0177) loss_rec_all: 0.0539 (0.0539) loss_rec_sfr: 0.0744 (0.0824) loss_cl: -0.3684 (-0.3676) time: 0.8688 data: 0.0003 max mem: 29859 [14:08:12.878551] Epoch: [286] [220/850] eta: 0:09:15 lr: 0.001830 loss: 0.0153 (0.0176) loss_rec_all: 0.0516 (0.0538) loss_rec_sfr: 0.0519 (0.0813) loss_cl: -0.3673 (-0.3676) time: 0.8618 data: 0.0002 max mem: 29859 [14:08:30.169793] Epoch: [286] [240/850] eta: 0:08:57 lr: 0.001830 loss: 0.0160 (0.0175) loss_rec_all: 0.0522 (0.0537) loss_rec_sfr: 0.0789 (0.0809) loss_cl: -0.3671 (-0.3675) time: 0.8645 data: 0.0002 max mem: 29859 [14:08:47.516740] Epoch: [286] [260/850] eta: 0:08:39 lr: 0.001830 loss: 0.0147 (0.0173) loss_rec_all: 0.0510 (0.0535) loss_rec_sfr: 0.0545 (0.0793) loss_cl: -0.3666 (-0.3674) time: 0.8673 data: 0.0003 max mem: 29859 [14:09:04.822929] Epoch: [286] [280/850] eta: 0:08:20 lr: 0.001830 loss: 0.0161 (0.0173) loss_rec_all: 0.0524 (0.0535) loss_rec_sfr: 0.0571 (0.0790) loss_cl: -0.3664 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [14:09:22.077388] Epoch: [286] [300/850] eta: 0:08:02 lr: 0.001830 loss: 0.0154 (0.0172) loss_rec_all: 0.0516 (0.0534) loss_rec_sfr: 0.0560 (0.0786) loss_cl: -0.3668 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [14:09:39.448202] Epoch: [286] [320/850] eta: 0:07:44 lr: 0.001830 loss: 0.0161 (0.0172) loss_rec_all: 0.0524 (0.0534) loss_rec_sfr: 0.0573 (0.0779) loss_cl: -0.3672 (-0.3673) time: 0.8684 data: 0.0004 max mem: 29859 [14:09:56.718740] Epoch: [286] [340/850] eta: 0:07:26 lr: 0.001830 loss: 0.0171 (0.0172) loss_rec_all: 0.0533 (0.0534) loss_rec_sfr: 0.0712 (0.0777) loss_cl: -0.3676 (-0.3673) time: 0.8635 data: 0.0003 max mem: 29859 [14:10:14.002157] Epoch: [286] [360/850] eta: 0:07:09 lr: 0.001829 loss: 0.0189 (0.0173) loss_rec_all: 0.0551 (0.0535) loss_rec_sfr: 0.0806 (0.0781) loss_cl: -0.3681 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [14:10:31.289443] Epoch: [286] [380/850] eta: 0:06:51 lr: 0.001829 loss: 0.0180 (0.0174) loss_rec_all: 0.0542 (0.0536) loss_rec_sfr: 0.0823 (0.0783) loss_cl: -0.3685 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [14:10:48.609334] Epoch: [286] [400/850] eta: 0:06:33 lr: 0.001829 loss: 0.0164 (0.0174) loss_rec_all: 0.0529 (0.0536) loss_rec_sfr: 0.0586 (0.0780) loss_cl: -0.3681 (-0.3674) time: 0.8659 data: 0.0003 max mem: 29859 [14:11:05.849924] Epoch: [286] [420/850] eta: 0:06:15 lr: 0.001829 loss: 0.0157 (0.0174) loss_rec_all: 0.0521 (0.0536) loss_rec_sfr: 0.0539 (0.0778) loss_cl: -0.3677 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [14:11:23.153323] Epoch: [286] [440/850] eta: 0:05:58 lr: 0.001829 loss: 0.0178 (0.0175) loss_rec_all: 0.0538 (0.0537) loss_rec_sfr: 0.0874 (0.0784) loss_cl: -0.3669 (-0.3674) time: 0.8651 data: 0.0002 max mem: 29859 [14:11:40.467783] Epoch: [286] [460/850] eta: 0:05:40 lr: 0.001829 loss: 0.0166 (0.0175) loss_rec_all: 0.0528 (0.0537) loss_rec_sfr: 0.0596 (0.0783) loss_cl: -0.3662 (-0.3674) time: 0.8657 data: 0.0004 max mem: 29859 [14:11:57.757722] Epoch: [286] [480/850] eta: 0:05:22 lr: 0.001829 loss: 0.0165 (0.0175) loss_rec_all: 0.0525 (0.0537) loss_rec_sfr: 0.0785 (0.0783) loss_cl: -0.3668 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [14:12:15.006024] Epoch: [286] [500/850] eta: 0:05:05 lr: 0.001829 loss: 0.0154 (0.0175) loss_rec_all: 0.0517 (0.0536) loss_rec_sfr: 0.0599 (0.0783) loss_cl: -0.3671 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [14:12:32.378795] Epoch: [286] [520/850] eta: 0:04:47 lr: 0.001829 loss: 0.0152 (0.0174) loss_rec_all: 0.0516 (0.0536) loss_rec_sfr: 0.0529 (0.0781) loss_cl: -0.3677 (-0.3673) time: 0.8686 data: 0.0003 max mem: 29859 [14:12:49.627375] Epoch: [286] [540/850] eta: 0:04:30 lr: 0.001829 loss: 0.0149 (0.0174) loss_rec_all: 0.0513 (0.0536) loss_rec_sfr: 0.0609 (0.0778) loss_cl: -0.3681 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [14:13:06.911048] Epoch: [286] [560/850] eta: 0:04:12 lr: 0.001828 loss: 0.0161 (0.0174) loss_rec_all: 0.0523 (0.0536) loss_rec_sfr: 0.0776 (0.0778) loss_cl: -0.3674 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [14:13:24.235948] Epoch: [286] [580/850] eta: 0:03:55 lr: 0.001828 loss: 0.0162 (0.0173) loss_rec_all: 0.0523 (0.0535) loss_rec_sfr: 0.0593 (0.0777) loss_cl: -0.3671 (-0.3673) time: 0.8661 data: 0.0004 max mem: 29859 [14:13:41.535305] Epoch: [286] [600/850] eta: 0:03:37 lr: 0.001828 loss: 0.0171 (0.0173) loss_rec_all: 0.0534 (0.0535) loss_rec_sfr: 0.0725 (0.0776) loss_cl: -0.3670 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [14:13:58.788596] Epoch: [286] [620/850] eta: 0:03:20 lr: 0.001828 loss: 0.0176 (0.0173) loss_rec_all: 0.0536 (0.0535) loss_rec_sfr: 0.0856 (0.0778) loss_cl: -0.3669 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [14:14:16.142720] Epoch: [286] [640/850] eta: 0:03:02 lr: 0.001828 loss: 0.0164 (0.0173) loss_rec_all: 0.0527 (0.0535) loss_rec_sfr: 0.0632 (0.0776) loss_cl: -0.3670 (-0.3673) time: 0.8676 data: 0.0003 max mem: 29859 [14:14:33.407813] Epoch: [286] [660/850] eta: 0:02:45 lr: 0.001828 loss: 0.0169 (0.0174) loss_rec_all: 0.0533 (0.0535) loss_rec_sfr: 0.0751 (0.0778) loss_cl: -0.3675 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [14:14:50.692073] Epoch: [286] [680/850] eta: 0:02:27 lr: 0.001828 loss: 0.0175 (0.0174) loss_rec_all: 0.0536 (0.0536) loss_rec_sfr: 0.0619 (0.0777) loss_cl: -0.3676 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [14:15:07.996551] Epoch: [286] [700/850] eta: 0:02:10 lr: 0.001828 loss: 0.0186 (0.0175) loss_rec_all: 0.0549 (0.0536) loss_rec_sfr: 0.0748 (0.0778) loss_cl: -0.3680 (-0.3673) time: 0.8652 data: 0.0002 max mem: 29859 [14:15:25.344970] Epoch: [286] [720/850] eta: 0:01:53 lr: 0.001828 loss: 0.0177 (0.0175) loss_rec_all: 0.0536 (0.0537) loss_rec_sfr: 0.0644 (0.0778) loss_cl: -0.3678 (-0.3673) time: 0.8674 data: 0.0003 max mem: 29859 [14:15:42.589445] Epoch: [286] [740/850] eta: 0:01:35 lr: 0.001828 loss: 0.0165 (0.0175) loss_rec_all: 0.0527 (0.0536) loss_rec_sfr: 0.0586 (0.0777) loss_cl: -0.3676 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [14:15:59.908648] Epoch: [286] [760/850] eta: 0:01:18 lr: 0.001827 loss: 0.0161 (0.0174) loss_rec_all: 0.0522 (0.0536) loss_rec_sfr: 0.0612 (0.0776) loss_cl: -0.3670 (-0.3673) time: 0.8659 data: 0.0003 max mem: 29859 [14:16:17.225844] Epoch: [286] [780/850] eta: 0:01:00 lr: 0.001827 loss: 0.0162 (0.0174) loss_rec_all: 0.0525 (0.0536) loss_rec_sfr: 0.0544 (0.0775) loss_cl: -0.3672 (-0.3673) time: 0.8658 data: 0.0003 max mem: 29859 [14:16:34.508588] Epoch: [286] [800/850] eta: 0:00:43 lr: 0.001827 loss: 0.0169 (0.0174) loss_rec_all: 0.0529 (0.0536) loss_rec_sfr: 0.0915 (0.0776) loss_cl: -0.3669 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [14:16:51.760733] Epoch: [286] [820/850] eta: 0:00:26 lr: 0.001827 loss: 0.0146 (0.0174) loss_rec_all: 0.0510 (0.0536) loss_rec_sfr: 0.0549 (0.0774) loss_cl: -0.3674 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [14:17:09.127675] Epoch: [286] [840/850] eta: 0:00:08 lr: 0.001827 loss: 0.0149 (0.0173) loss_rec_all: 0.0512 (0.0535) loss_rec_sfr: 0.0558 (0.0773) loss_cl: -0.3677 (-0.3673) time: 0.8683 data: 0.0024 max mem: 29859 [14:17:16.882768] Epoch: [286] [849/850] eta: 0:00:00 lr: 0.001827 loss: 0.0155 (0.0173) loss_rec_all: 0.0519 (0.0535) loss_rec_sfr: 0.0648 (0.0772) loss_cl: -0.3677 (-0.3673) time: 0.8674 data: 0.0023 max mem: 29859 [14:17:17.010944] Epoch: [286] Total time: 0:12:19 (0.8695 s / it) [14:17:17.022562] Averaged stats: lr: 0.001827 loss: 0.0155 (0.0174) loss_rec_all: 0.0519 (0.0536) loss_rec_sfr: 0.0648 (0.0769) loss_cl: -0.3677 (-0.3673) [14:17:17.032622] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [14:17:21.196328] Epoch: [287] [ 0/850] eta: 0:58:58 lr: 0.001827 loss: 0.0145 (0.0145) loss_rec_all: 0.0508 (0.0508) loss_rec_sfr: 0.0509 (0.0509) loss_cl: -0.3665 (-0.3665) time: 4.1630 data: 3.3082 max mem: 29859 [14:17:38.391615] Epoch: [287] [ 20/850] eta: 0:14:04 lr: 0.001827 loss: 0.0150 (0.0156) loss_rec_all: 0.0513 (0.0518) loss_rec_sfr: 0.0544 (0.0658) loss_cl: -0.3672 (-0.3672) time: 0.8597 data: 0.0002 max mem: 29859 [14:17:55.706791] Epoch: [287] [ 40/850] eta: 0:12:43 lr: 0.001827 loss: 0.0163 (0.0162) loss_rec_all: 0.0523 (0.0524) loss_rec_sfr: 0.0699 (0.0722) loss_cl: -0.3669 (-0.3671) time: 0.8657 data: 0.0003 max mem: 29859 [14:18:13.001191] Epoch: [287] [ 60/850] eta: 0:12:04 lr: 0.001827 loss: 0.0159 (0.0162) loss_rec_all: 0.0522 (0.0524) loss_rec_sfr: 0.0640 (0.0723) loss_cl: -0.3676 (-0.3672) time: 0.8647 data: 0.0002 max mem: 29859 [14:18:30.283887] Epoch: [287] [ 80/850] eta: 0:11:36 lr: 0.001827 loss: 0.0164 (0.0165) loss_rec_all: 0.0526 (0.0527) loss_rec_sfr: 0.0575 (0.0710) loss_cl: -0.3675 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [14:18:47.557308] Epoch: [287] [100/850] eta: 0:11:12 lr: 0.001827 loss: 0.0156 (0.0163) loss_rec_all: 0.0519 (0.0525) loss_rec_sfr: 0.0556 (0.0711) loss_cl: -0.3676 (-0.3673) time: 0.8636 data: 0.0003 max mem: 29859 [14:19:04.913498] Epoch: [287] [120/850] eta: 0:10:50 lr: 0.001826 loss: 0.0157 (0.0163) loss_rec_all: 0.0520 (0.0525) loss_rec_sfr: 0.0571 (0.0702) loss_cl: -0.3674 (-0.3674) time: 0.8678 data: 0.0003 max mem: 29859 [14:19:22.156676] Epoch: [287] [140/850] eta: 0:10:30 lr: 0.001826 loss: 0.0150 (0.0163) loss_rec_all: 0.0513 (0.0525) loss_rec_sfr: 0.0521 (0.0697) loss_cl: -0.3671 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [14:19:39.442992] Epoch: [287] [160/850] eta: 0:10:10 lr: 0.001826 loss: 0.0181 (0.0165) loss_rec_all: 0.0541 (0.0527) loss_rec_sfr: 0.0804 (0.0716) loss_cl: -0.3668 (-0.3672) time: 0.8643 data: 0.0002 max mem: 29859 [14:19:56.794398] Epoch: [287] [180/850] eta: 0:09:51 lr: 0.001826 loss: 0.0168 (0.0166) loss_rec_all: 0.0528 (0.0528) loss_rec_sfr: 0.0763 (0.0722) loss_cl: -0.3671 (-0.3672) time: 0.8675 data: 0.0004 max mem: 29859 [14:20:14.064786] Epoch: [287] [200/850] eta: 0:09:32 lr: 0.001826 loss: 0.0172 (0.0167) loss_rec_all: 0.0534 (0.0529) loss_rec_sfr: 0.0744 (0.0727) loss_cl: -0.3675 (-0.3672) time: 0.8635 data: 0.0002 max mem: 29859 [14:20:31.314191] Epoch: [287] [220/850] eta: 0:09:13 lr: 0.001826 loss: 0.0178 (0.0169) loss_rec_all: 0.0541 (0.0531) loss_rec_sfr: 0.0757 (0.0732) loss_cl: -0.3679 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [14:20:48.672417] Epoch: [287] [240/850] eta: 0:08:55 lr: 0.001826 loss: 0.0175 (0.0170) loss_rec_all: 0.0537 (0.0532) loss_rec_sfr: 0.0757 (0.0737) loss_cl: -0.3678 (-0.3673) time: 0.8678 data: 0.0003 max mem: 29859 [14:21:05.911473] Epoch: [287] [260/850] eta: 0:08:37 lr: 0.001826 loss: 0.0175 (0.0171) loss_rec_all: 0.0538 (0.0533) loss_rec_sfr: 0.0794 (0.0739) loss_cl: -0.3673 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [14:21:23.187447] Epoch: [287] [280/850] eta: 0:08:19 lr: 0.001826 loss: 0.0176 (0.0172) loss_rec_all: 0.0538 (0.0534) loss_rec_sfr: 0.0826 (0.0741) loss_cl: -0.3674 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [14:21:40.522290] Epoch: [287] [300/850] eta: 0:08:01 lr: 0.001826 loss: 0.0171 (0.0172) loss_rec_all: 0.0532 (0.0534) loss_rec_sfr: 0.0585 (0.0744) loss_cl: -0.3665 (-0.3673) time: 0.8667 data: 0.0004 max mem: 29859 [14:21:57.815110] Epoch: [287] [320/850] eta: 0:07:43 lr: 0.001825 loss: 0.0166 (0.0172) loss_rec_all: 0.0528 (0.0534) loss_rec_sfr: 0.0597 (0.0747) loss_cl: -0.3660 (-0.3672) time: 0.8646 data: 0.0003 max mem: 29859 [14:22:15.045110] Epoch: [287] [340/850] eta: 0:07:25 lr: 0.001825 loss: 0.0170 (0.0172) loss_rec_all: 0.0532 (0.0534) loss_rec_sfr: 0.0574 (0.0747) loss_cl: -0.3661 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [14:22:32.402936] Epoch: [287] [360/850] eta: 0:07:08 lr: 0.001825 loss: 0.0162 (0.0172) loss_rec_all: 0.0524 (0.0534) loss_rec_sfr: 0.0761 (0.0749) loss_cl: -0.3667 (-0.3671) time: 0.8678 data: 0.0003 max mem: 29859 [14:22:49.669593] Epoch: [287] [380/850] eta: 0:06:50 lr: 0.001825 loss: 0.0160 (0.0172) loss_rec_all: 0.0523 (0.0534) loss_rec_sfr: 0.0804 (0.0752) loss_cl: -0.3676 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [14:23:06.939438] Epoch: [287] [400/850] eta: 0:06:32 lr: 0.001825 loss: 0.0158 (0.0172) loss_rec_all: 0.0522 (0.0534) loss_rec_sfr: 0.0778 (0.0753) loss_cl: -0.3687 (-0.3672) time: 0.8634 data: 0.0002 max mem: 29859 [14:23:24.204432] Epoch: [287] [420/850] eta: 0:06:14 lr: 0.001825 loss: 0.0166 (0.0172) loss_rec_all: 0.0529 (0.0534) loss_rec_sfr: 0.0915 (0.0760) loss_cl: -0.3678 (-0.3673) time: 0.8632 data: 0.0003 max mem: 29859 [14:23:41.520072] Epoch: [287] [440/850] eta: 0:05:57 lr: 0.001825 loss: 0.0168 (0.0173) loss_rec_all: 0.0529 (0.0535) loss_rec_sfr: 0.0820 (0.0761) loss_cl: -0.3675 (-0.3673) time: 0.8657 data: 0.0003 max mem: 29859 [14:23:58.751989] Epoch: [287] [460/850] eta: 0:05:39 lr: 0.001825 loss: 0.0165 (0.0173) loss_rec_all: 0.0526 (0.0535) loss_rec_sfr: 0.0628 (0.0761) loss_cl: -0.3674 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [14:24:16.043985] Epoch: [287] [480/850] eta: 0:05:22 lr: 0.001825 loss: 0.0155 (0.0172) loss_rec_all: 0.0518 (0.0534) loss_rec_sfr: 0.0555 (0.0758) loss_cl: -0.3670 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [14:24:33.375211] Epoch: [287] [500/850] eta: 0:05:04 lr: 0.001825 loss: 0.0149 (0.0171) loss_rec_all: 0.0512 (0.0533) loss_rec_sfr: 0.0592 (0.0757) loss_cl: -0.3676 (-0.3673) time: 0.8665 data: 0.0003 max mem: 29859 [14:24:50.656184] Epoch: [287] [520/850] eta: 0:04:47 lr: 0.001824 loss: 0.0156 (0.0171) loss_rec_all: 0.0520 (0.0533) loss_rec_sfr: 0.0565 (0.0755) loss_cl: -0.3680 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [14:25:07.911795] Epoch: [287] [540/850] eta: 0:04:29 lr: 0.001824 loss: 0.0158 (0.0171) loss_rec_all: 0.0523 (0.0533) loss_rec_sfr: 0.0560 (0.0755) loss_cl: -0.3681 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [14:25:25.271779] Epoch: [287] [560/850] eta: 0:04:12 lr: 0.001824 loss: 0.0167 (0.0171) loss_rec_all: 0.0527 (0.0533) loss_rec_sfr: 0.0817 (0.0758) loss_cl: -0.3679 (-0.3673) time: 0.8679 data: 0.0003 max mem: 29859 [14:25:42.512948] Epoch: [287] [580/850] eta: 0:03:54 lr: 0.001824 loss: 0.0160 (0.0170) loss_rec_all: 0.0522 (0.0532) loss_rec_sfr: 0.0592 (0.0759) loss_cl: -0.3674 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [14:25:59.789420] Epoch: [287] [600/850] eta: 0:03:37 lr: 0.001824 loss: 0.0157 (0.0170) loss_rec_all: 0.0521 (0.0532) loss_rec_sfr: 0.0560 (0.0754) loss_cl: -0.3669 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [14:26:17.118025] Epoch: [287] [620/850] eta: 0:03:20 lr: 0.001824 loss: 0.0169 (0.0170) loss_rec_all: 0.0529 (0.0532) loss_rec_sfr: 0.0788 (0.0755) loss_cl: -0.3666 (-0.3673) time: 0.8664 data: 0.0003 max mem: 29859 [14:26:34.407425] Epoch: [287] [640/850] eta: 0:03:02 lr: 0.001824 loss: 0.0184 (0.0171) loss_rec_all: 0.0546 (0.0533) loss_rec_sfr: 0.0799 (0.0756) loss_cl: -0.3668 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [14:26:51.643853] Epoch: [287] [660/850] eta: 0:02:45 lr: 0.001824 loss: 0.0184 (0.0172) loss_rec_all: 0.0546 (0.0534) loss_rec_sfr: 0.0647 (0.0758) loss_cl: -0.3672 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [14:27:08.997732] Epoch: [287] [680/850] eta: 0:02:27 lr: 0.001824 loss: 0.0194 (0.0173) loss_rec_all: 0.0557 (0.0535) loss_rec_sfr: 0.0803 (0.0759) loss_cl: -0.3676 (-0.3673) time: 0.8676 data: 0.0003 max mem: 29859 [14:27:26.292103] Epoch: [287] [700/850] eta: 0:02:10 lr: 0.001824 loss: 0.0175 (0.0173) loss_rec_all: 0.0539 (0.0535) loss_rec_sfr: 0.0603 (0.0759) loss_cl: -0.3678 (-0.3673) time: 0.8646 data: 0.0003 max mem: 29859 [14:27:43.565093] Epoch: [287] [720/850] eta: 0:01:52 lr: 0.001823 loss: 0.0165 (0.0173) loss_rec_all: 0.0529 (0.0535) loss_rec_sfr: 0.0615 (0.0762) loss_cl: -0.3675 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [14:28:00.856533] Epoch: [287] [740/850] eta: 0:01:35 lr: 0.001823 loss: 0.0167 (0.0173) loss_rec_all: 0.0530 (0.0535) loss_rec_sfr: 0.0581 (0.0761) loss_cl: -0.3670 (-0.3673) time: 0.8645 data: 0.0003 max mem: 29859 [14:28:18.192281] Epoch: [287] [760/850] eta: 0:01:18 lr: 0.001823 loss: 0.0171 (0.0173) loss_rec_all: 0.0532 (0.0535) loss_rec_sfr: 0.0880 (0.0763) loss_cl: -0.3671 (-0.3673) time: 0.8667 data: 0.0003 max mem: 29859 [14:28:35.433444] Epoch: [287] [780/850] eta: 0:01:00 lr: 0.001823 loss: 0.0154 (0.0173) loss_rec_all: 0.0518 (0.0535) loss_rec_sfr: 0.0550 (0.0761) loss_cl: -0.3674 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [14:28:52.737459] Epoch: [287] [800/850] eta: 0:00:43 lr: 0.001823 loss: 0.0171 (0.0173) loss_rec_all: 0.0535 (0.0535) loss_rec_sfr: 0.0559 (0.0761) loss_cl: -0.3680 (-0.3673) time: 0.8651 data: 0.0002 max mem: 29859 [14:29:10.061852] Epoch: [287] [820/850] eta: 0:00:26 lr: 0.001823 loss: 0.0161 (0.0173) loss_rec_all: 0.0524 (0.0535) loss_rec_sfr: 0.0553 (0.0760) loss_cl: -0.3676 (-0.3673) time: 0.8662 data: 0.0003 max mem: 29859 [14:29:27.367812] Epoch: [287] [840/850] eta: 0:00:08 lr: 0.001823 loss: 0.0163 (0.0173) loss_rec_all: 0.0527 (0.0535) loss_rec_sfr: 0.0577 (0.0760) loss_cl: -0.3678 (-0.3673) time: 0.8653 data: 0.0020 max mem: 29859 [14:29:35.123611] Epoch: [287] [849/850] eta: 0:00:00 lr: 0.001823 loss: 0.0162 (0.0173) loss_rec_all: 0.0526 (0.0535) loss_rec_sfr: 0.0541 (0.0760) loss_cl: -0.3681 (-0.3673) time: 0.8651 data: 0.0019 max mem: 29859 [14:29:35.250123] Epoch: [287] Total time: 0:12:18 (0.8685 s / it) [14:29:35.265409] Averaged stats: lr: 0.001823 loss: 0.0162 (0.0173) loss_rec_all: 0.0526 (0.0535) loss_rec_sfr: 0.0541 (0.0759) loss_cl: -0.3681 (-0.3673) [14:29:35.274129] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [14:29:39.483616] Epoch: [288] [ 0/850] eta: 0:59:37 lr: 0.001823 loss: 0.0179 (0.0179) loss_rec_all: 0.0538 (0.0538) loss_rec_sfr: 0.1199 (0.1199) loss_cl: -0.3675 (-0.3675) time: 4.2087 data: 3.3543 max mem: 29859 [14:29:56.748609] Epoch: [288] [ 20/850] eta: 0:14:08 lr: 0.001823 loss: 0.0153 (0.0159) loss_rec_all: 0.0517 (0.0522) loss_rec_sfr: 0.0575 (0.0739) loss_cl: -0.3673 (-0.3674) time: 0.8632 data: 0.0003 max mem: 29859 [14:30:14.036519] Epoch: [288] [ 40/850] eta: 0:12:45 lr: 0.001823 loss: 0.0152 (0.0160) loss_rec_all: 0.0515 (0.0522) loss_rec_sfr: 0.0559 (0.0715) loss_cl: -0.3664 (-0.3669) time: 0.8643 data: 0.0002 max mem: 29859 [14:30:31.266109] Epoch: [288] [ 60/850] eta: 0:12:05 lr: 0.001822 loss: 0.0152 (0.0161) loss_rec_all: 0.0515 (0.0522) loss_rec_sfr: 0.0708 (0.0712) loss_cl: -0.3665 (-0.3668) time: 0.8614 data: 0.0002 max mem: 29859 [14:30:48.599988] Epoch: [288] [ 80/850] eta: 0:11:36 lr: 0.001822 loss: 0.0159 (0.0162) loss_rec_all: 0.0520 (0.0524) loss_rec_sfr: 0.0554 (0.0715) loss_cl: -0.3672 (-0.3669) time: 0.8666 data: 0.0003 max mem: 29859 [14:31:05.883163] Epoch: [288] [100/850] eta: 0:11:12 lr: 0.001822 loss: 0.0172 (0.0165) loss_rec_all: 0.0533 (0.0527) loss_rec_sfr: 0.0886 (0.0743) loss_cl: -0.3676 (-0.3670) time: 0.8641 data: 0.0002 max mem: 29859 [14:31:23.164482] Epoch: [288] [120/850] eta: 0:10:50 lr: 0.001822 loss: 0.0170 (0.0167) loss_rec_all: 0.0535 (0.0529) loss_rec_sfr: 0.0798 (0.0753) loss_cl: -0.3681 (-0.3672) time: 0.8640 data: 0.0002 max mem: 29859 [14:31:40.420308] Epoch: [288] [140/850] eta: 0:10:30 lr: 0.001822 loss: 0.0159 (0.0167) loss_rec_all: 0.0524 (0.0529) loss_rec_sfr: 0.0547 (0.0746) loss_cl: -0.3678 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [14:31:57.747749] Epoch: [288] [160/850] eta: 0:10:10 lr: 0.001822 loss: 0.0164 (0.0167) loss_rec_all: 0.0528 (0.0529) loss_rec_sfr: 0.0586 (0.0744) loss_cl: -0.3673 (-0.3673) time: 0.8663 data: 0.0003 max mem: 29859 [14:32:14.987382] Epoch: [288] [180/850] eta: 0:09:51 lr: 0.001822 loss: 0.0174 (0.0168) loss_rec_all: 0.0536 (0.0530) loss_rec_sfr: 0.0749 (0.0751) loss_cl: -0.3673 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [14:32:32.267310] Epoch: [288] [200/850] eta: 0:09:32 lr: 0.001822 loss: 0.0176 (0.0169) loss_rec_all: 0.0539 (0.0531) loss_rec_sfr: 0.0760 (0.0756) loss_cl: -0.3672 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [14:32:49.614908] Epoch: [288] [220/850] eta: 0:09:13 lr: 0.001822 loss: 0.0167 (0.0169) loss_rec_all: 0.0527 (0.0531) loss_rec_sfr: 0.0743 (0.0757) loss_cl: -0.3670 (-0.3673) time: 0.8673 data: 0.0003 max mem: 29859 [14:33:06.885350] Epoch: [288] [240/850] eta: 0:08:55 lr: 0.001822 loss: 0.0151 (0.0168) loss_rec_all: 0.0514 (0.0530) loss_rec_sfr: 0.0584 (0.0755) loss_cl: -0.3677 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [14:33:24.125040] Epoch: [288] [260/850] eta: 0:08:37 lr: 0.001821 loss: 0.0163 (0.0168) loss_rec_all: 0.0523 (0.0530) loss_rec_sfr: 0.0769 (0.0758) loss_cl: -0.3676 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [14:33:41.467811] Epoch: [288] [280/850] eta: 0:08:19 lr: 0.001821 loss: 0.0160 (0.0168) loss_rec_all: 0.0521 (0.0530) loss_rec_sfr: 0.0764 (0.0758) loss_cl: -0.3678 (-0.3673) time: 0.8671 data: 0.0003 max mem: 29859 [14:33:58.709545] Epoch: [288] [300/850] eta: 0:08:01 lr: 0.001821 loss: 0.0163 (0.0168) loss_rec_all: 0.0524 (0.0530) loss_rec_sfr: 0.0560 (0.0755) loss_cl: -0.3673 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [14:34:15.988949] Epoch: [288] [320/850] eta: 0:07:43 lr: 0.001821 loss: 0.0172 (0.0169) loss_rec_all: 0.0535 (0.0531) loss_rec_sfr: 0.0711 (0.0753) loss_cl: -0.3672 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [14:34:33.287798] Epoch: [288] [340/850] eta: 0:07:25 lr: 0.001821 loss: 0.0185 (0.0170) loss_rec_all: 0.0545 (0.0532) loss_rec_sfr: 0.0887 (0.0757) loss_cl: -0.3668 (-0.3673) time: 0.8649 data: 0.0003 max mem: 29859 [14:34:50.593665] Epoch: [288] [360/850] eta: 0:07:07 lr: 0.001821 loss: 0.0173 (0.0171) loss_rec_all: 0.0537 (0.0533) loss_rec_sfr: 0.0582 (0.0755) loss_cl: -0.3674 (-0.3673) time: 0.8652 data: 0.0003 max mem: 29859 [14:35:07.836238] Epoch: [288] [380/850] eta: 0:06:50 lr: 0.001821 loss: 0.0180 (0.0172) loss_rec_all: 0.0543 (0.0534) loss_rec_sfr: 0.0594 (0.0755) loss_cl: -0.3676 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [14:35:25.179163] Epoch: [288] [400/850] eta: 0:06:32 lr: 0.001821 loss: 0.0189 (0.0173) loss_rec_all: 0.0549 (0.0535) loss_rec_sfr: 0.0615 (0.0757) loss_cl: -0.3684 (-0.3674) time: 0.8671 data: 0.0003 max mem: 29859 [14:35:42.455196] Epoch: [288] [420/850] eta: 0:06:15 lr: 0.001821 loss: 0.0180 (0.0174) loss_rec_all: 0.0544 (0.0536) loss_rec_sfr: 0.0574 (0.0755) loss_cl: -0.3678 (-0.3674) time: 0.8637 data: 0.0003 max mem: 29859 [14:35:59.720289] Epoch: [288] [440/850] eta: 0:05:57 lr: 0.001821 loss: 0.0188 (0.0175) loss_rec_all: 0.0548 (0.0537) loss_rec_sfr: 0.0801 (0.0758) loss_cl: -0.3671 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [14:36:16.994770] Epoch: [288] [460/850] eta: 0:05:39 lr: 0.001820 loss: 0.0173 (0.0175) loss_rec_all: 0.0535 (0.0537) loss_rec_sfr: 0.0790 (0.0759) loss_cl: -0.3668 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [14:36:34.338106] Epoch: [288] [480/850] eta: 0:05:22 lr: 0.001820 loss: 0.0177 (0.0176) loss_rec_all: 0.0540 (0.0538) loss_rec_sfr: 0.0644 (0.0759) loss_cl: -0.3668 (-0.3673) time: 0.8671 data: 0.0003 max mem: 29859 [14:36:51.561626] Epoch: [288] [500/850] eta: 0:05:04 lr: 0.001820 loss: 0.0178 (0.0176) loss_rec_all: 0.0539 (0.0538) loss_rec_sfr: 0.0773 (0.0759) loss_cl: -0.3673 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [14:37:08.841312] Epoch: [288] [520/850] eta: 0:04:47 lr: 0.001820 loss: 0.0147 (0.0175) loss_rec_all: 0.0510 (0.0537) loss_rec_sfr: 0.0527 (0.0755) loss_cl: -0.3675 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [14:37:26.166018] Epoch: [288] [540/850] eta: 0:04:29 lr: 0.001820 loss: 0.0158 (0.0175) loss_rec_all: 0.0523 (0.0537) loss_rec_sfr: 0.0546 (0.0753) loss_cl: -0.3683 (-0.3674) time: 0.8662 data: 0.0003 max mem: 29859 [14:37:43.448562] Epoch: [288] [560/850] eta: 0:04:12 lr: 0.001820 loss: 0.0180 (0.0175) loss_rec_all: 0.0541 (0.0537) loss_rec_sfr: 0.0781 (0.0755) loss_cl: -0.3682 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [14:38:00.687336] Epoch: [288] [580/850] eta: 0:03:54 lr: 0.001820 loss: 0.0153 (0.0175) loss_rec_all: 0.0517 (0.0537) loss_rec_sfr: 0.0574 (0.0753) loss_cl: -0.3671 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [14:38:18.056168] Epoch: [288] [600/850] eta: 0:03:37 lr: 0.001820 loss: 0.0165 (0.0174) loss_rec_all: 0.0527 (0.0536) loss_rec_sfr: 0.0625 (0.0753) loss_cl: -0.3669 (-0.3674) time: 0.8684 data: 0.0003 max mem: 29859 [14:38:35.296529] Epoch: [288] [620/850] eta: 0:03:19 lr: 0.001820 loss: 0.0159 (0.0174) loss_rec_all: 0.0520 (0.0536) loss_rec_sfr: 0.0590 (0.0751) loss_cl: -0.3669 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [14:38:52.573170] Epoch: [288] [640/850] eta: 0:03:02 lr: 0.001820 loss: 0.0168 (0.0174) loss_rec_all: 0.0531 (0.0536) loss_rec_sfr: 0.0627 (0.0751) loss_cl: -0.3672 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [14:39:09.881206] Epoch: [288] [660/850] eta: 0:02:45 lr: 0.001819 loss: 0.0155 (0.0174) loss_rec_all: 0.0517 (0.0536) loss_rec_sfr: 0.0561 (0.0750) loss_cl: -0.3677 (-0.3673) time: 0.8653 data: 0.0003 max mem: 29859 [14:39:27.232554] Epoch: [288] [680/850] eta: 0:02:27 lr: 0.001819 loss: 0.0169 (0.0174) loss_rec_all: 0.0532 (0.0536) loss_rec_sfr: 0.0788 (0.0752) loss_cl: -0.3680 (-0.3674) time: 0.8675 data: 0.0002 max mem: 29859 [14:39:44.474593] Epoch: [288] [700/850] eta: 0:02:10 lr: 0.001819 loss: 0.0160 (0.0173) loss_rec_all: 0.0522 (0.0536) loss_rec_sfr: 0.0598 (0.0751) loss_cl: -0.3679 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [14:40:01.794129] Epoch: [288] [720/850] eta: 0:01:52 lr: 0.001819 loss: 0.0161 (0.0173) loss_rec_all: 0.0522 (0.0535) loss_rec_sfr: 0.0791 (0.0753) loss_cl: -0.3676 (-0.3674) time: 0.8659 data: 0.0003 max mem: 29859 [14:40:19.087587] Epoch: [288] [740/850] eta: 0:01:35 lr: 0.001819 loss: 0.0170 (0.0173) loss_rec_all: 0.0533 (0.0535) loss_rec_sfr: 0.0785 (0.0755) loss_cl: -0.3670 (-0.3674) time: 0.8646 data: 0.0003 max mem: 29859 [14:40:36.359260] Epoch: [288] [760/850] eta: 0:01:18 lr: 0.001819 loss: 0.0182 (0.0173) loss_rec_all: 0.0545 (0.0536) loss_rec_sfr: 0.0738 (0.0756) loss_cl: -0.3667 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [14:40:53.607350] Epoch: [288] [780/850] eta: 0:01:00 lr: 0.001819 loss: 0.0167 (0.0174) loss_rec_all: 0.0530 (0.0536) loss_rec_sfr: 0.0762 (0.0759) loss_cl: -0.3671 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [14:41:10.935627] Epoch: [288] [800/850] eta: 0:00:43 lr: 0.001819 loss: 0.0170 (0.0173) loss_rec_all: 0.0531 (0.0535) loss_rec_sfr: 0.0696 (0.0760) loss_cl: -0.3673 (-0.3673) time: 0.8664 data: 0.0002 max mem: 29859 [14:41:28.172643] Epoch: [288] [820/850] eta: 0:00:26 lr: 0.001819 loss: 0.0162 (0.0173) loss_rec_all: 0.0526 (0.0535) loss_rec_sfr: 0.0625 (0.0759) loss_cl: -0.3674 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [14:41:45.472970] Epoch: [288] [840/850] eta: 0:00:08 lr: 0.001819 loss: 0.0178 (0.0174) loss_rec_all: 0.0540 (0.0536) loss_rec_sfr: 0.0570 (0.0757) loss_cl: -0.3670 (-0.3673) time: 0.8650 data: 0.0005 max mem: 29859 [14:41:53.262722] Epoch: [288] [849/850] eta: 0:00:00 lr: 0.001819 loss: 0.0175 (0.0174) loss_rec_all: 0.0537 (0.0536) loss_rec_sfr: 0.0605 (0.0758) loss_cl: -0.3670 (-0.3673) time: 0.8662 data: 0.0005 max mem: 29859 [14:41:53.378300] Epoch: [288] Total time: 0:12:18 (0.8684 s / it) [14:41:53.391886] Averaged stats: lr: 0.001819 loss: 0.0175 (0.0172) loss_rec_all: 0.0537 (0.0534) loss_rec_sfr: 0.0605 (0.0755) loss_cl: -0.3670 (-0.3673) [14:41:53.409489] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [14:41:57.636111] Epoch: [289] [ 0/850] eta: 0:59:51 lr: 0.001819 loss: 0.0217 (0.0217) loss_rec_all: 0.0578 (0.0578) loss_rec_sfr: 0.0799 (0.0799) loss_cl: -0.3668 (-0.3668) time: 4.2254 data: 3.1704 max mem: 29859 [14:42:14.852058] Epoch: [289] [ 20/850] eta: 0:14:07 lr: 0.001818 loss: 0.0167 (0.0177) loss_rec_all: 0.0530 (0.0539) loss_rec_sfr: 0.0712 (0.0740) loss_cl: -0.3672 (-0.3671) time: 0.8607 data: 0.0002 max mem: 29859 [14:42:32.118700] Epoch: [289] [ 40/850] eta: 0:12:44 lr: 0.001818 loss: 0.0159 (0.0172) loss_rec_all: 0.0521 (0.0534) loss_rec_sfr: 0.0531 (0.0730) loss_cl: -0.3670 (-0.3670) time: 0.8633 data: 0.0002 max mem: 29859 [14:42:49.416618] Epoch: [289] [ 60/850] eta: 0:12:05 lr: 0.001818 loss: 0.0156 (0.0169) loss_rec_all: 0.0517 (0.0530) loss_rec_sfr: 0.0614 (0.0744) loss_cl: -0.3671 (-0.3671) time: 0.8648 data: 0.0003 max mem: 29859 [14:43:06.748179] Epoch: [289] [ 80/850] eta: 0:11:37 lr: 0.001818 loss: 0.0154 (0.0167) loss_rec_all: 0.0515 (0.0529) loss_rec_sfr: 0.0594 (0.0748) loss_cl: -0.3674 (-0.3672) time: 0.8665 data: 0.0003 max mem: 29859 [14:43:23.986203] Epoch: [289] [100/850] eta: 0:11:12 lr: 0.001818 loss: 0.0162 (0.0167) loss_rec_all: 0.0525 (0.0529) loss_rec_sfr: 0.0608 (0.0748) loss_cl: -0.3678 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [14:43:41.322108] Epoch: [289] [120/850] eta: 0:10:50 lr: 0.001818 loss: 0.0155 (0.0167) loss_rec_all: 0.0517 (0.0529) loss_rec_sfr: 0.0715 (0.0744) loss_cl: -0.3681 (-0.3674) time: 0.8667 data: 0.0002 max mem: 29859 [14:43:58.629754] Epoch: [289] [140/850] eta: 0:10:30 lr: 0.001818 loss: 0.0161 (0.0166) loss_rec_all: 0.0524 (0.0528) loss_rec_sfr: 0.0628 (0.0749) loss_cl: -0.3682 (-0.3675) time: 0.8653 data: 0.0002 max mem: 29859 [14:44:15.909603] Epoch: [289] [160/850] eta: 0:10:10 lr: 0.001818 loss: 0.0155 (0.0166) loss_rec_all: 0.0518 (0.0528) loss_rec_sfr: 0.0566 (0.0741) loss_cl: -0.3677 (-0.3675) time: 0.8639 data: 0.0002 max mem: 29859 [14:44:33.159864] Epoch: [289] [180/850] eta: 0:09:51 lr: 0.001818 loss: 0.0165 (0.0166) loss_rec_all: 0.0526 (0.0528) loss_rec_sfr: 0.0633 (0.0747) loss_cl: -0.3671 (-0.3675) time: 0.8624 data: 0.0002 max mem: 29859 [14:44:50.598087] Epoch: [289] [200/850] eta: 0:09:32 lr: 0.001818 loss: 0.0172 (0.0167) loss_rec_all: 0.0533 (0.0529) loss_rec_sfr: 0.0708 (0.0751) loss_cl: -0.3668 (-0.3674) time: 0.8718 data: 0.0003 max mem: 29859 [14:45:07.832781] Epoch: [289] [220/850] eta: 0:09:14 lr: 0.001817 loss: 0.0168 (0.0167) loss_rec_all: 0.0529 (0.0529) loss_rec_sfr: 0.0718 (0.0757) loss_cl: -0.3667 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [14:45:25.117000] Epoch: [289] [240/850] eta: 0:08:55 lr: 0.001817 loss: 0.0161 (0.0167) loss_rec_all: 0.0525 (0.0529) loss_rec_sfr: 0.0731 (0.0758) loss_cl: -0.3675 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [14:45:42.436543] Epoch: [289] [260/850] eta: 0:08:37 lr: 0.001817 loss: 0.0173 (0.0168) loss_rec_all: 0.0533 (0.0530) loss_rec_sfr: 0.0730 (0.0760) loss_cl: -0.3676 (-0.3674) time: 0.8659 data: 0.0004 max mem: 29859 [14:45:59.729723] Epoch: [289] [280/850] eta: 0:08:19 lr: 0.001817 loss: 0.0182 (0.0170) loss_rec_all: 0.0546 (0.0532) loss_rec_sfr: 0.0653 (0.0764) loss_cl: -0.3673 (-0.3674) time: 0.8646 data: 0.0002 max mem: 29859 [14:46:16.966751] Epoch: [289] [300/850] eta: 0:08:01 lr: 0.001817 loss: 0.0198 (0.0172) loss_rec_all: 0.0561 (0.0534) loss_rec_sfr: 0.0834 (0.0770) loss_cl: -0.3671 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [14:46:34.335093] Epoch: [289] [320/850] eta: 0:07:43 lr: 0.001817 loss: 0.0191 (0.0174) loss_rec_all: 0.0551 (0.0536) loss_rec_sfr: 0.0781 (0.0774) loss_cl: -0.3670 (-0.3673) time: 0.8683 data: 0.0003 max mem: 29859 [14:46:51.584986] Epoch: [289] [340/850] eta: 0:07:25 lr: 0.001817 loss: 0.0193 (0.0175) loss_rec_all: 0.0553 (0.0537) loss_rec_sfr: 0.0673 (0.0777) loss_cl: -0.3671 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [14:47:08.856860] Epoch: [289] [360/850] eta: 0:07:08 lr: 0.001817 loss: 0.0178 (0.0176) loss_rec_all: 0.0541 (0.0538) loss_rec_sfr: 0.0549 (0.0776) loss_cl: -0.3676 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [14:47:26.176709] Epoch: [289] [380/850] eta: 0:06:50 lr: 0.001817 loss: 0.0167 (0.0176) loss_rec_all: 0.0530 (0.0538) loss_rec_sfr: 0.0657 (0.0774) loss_cl: -0.3678 (-0.3673) time: 0.8659 data: 0.0002 max mem: 29859 [14:47:43.528096] Epoch: [289] [400/850] eta: 0:06:32 lr: 0.001817 loss: 0.0174 (0.0176) loss_rec_all: 0.0535 (0.0538) loss_rec_sfr: 0.0759 (0.0775) loss_cl: -0.3673 (-0.3673) time: 0.8675 data: 0.0003 max mem: 29859 [14:48:00.770449] Epoch: [289] [420/850] eta: 0:06:15 lr: 0.001816 loss: 0.0170 (0.0176) loss_rec_all: 0.0531 (0.0538) loss_rec_sfr: 0.0654 (0.0775) loss_cl: -0.3670 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [14:48:18.101587] Epoch: [289] [440/850] eta: 0:05:57 lr: 0.001816 loss: 0.0162 (0.0175) loss_rec_all: 0.0526 (0.0537) loss_rec_sfr: 0.0670 (0.0772) loss_cl: -0.3670 (-0.3673) time: 0.8664 data: 0.0003 max mem: 29859 [14:48:35.398179] Epoch: [289] [460/850] eta: 0:05:40 lr: 0.001816 loss: 0.0157 (0.0175) loss_rec_all: 0.0520 (0.0537) loss_rec_sfr: 0.0533 (0.0767) loss_cl: -0.3674 (-0.3673) time: 0.8648 data: 0.0004 max mem: 29859 [14:48:52.651454] Epoch: [289] [480/850] eta: 0:05:22 lr: 0.001816 loss: 0.0163 (0.0174) loss_rec_all: 0.0524 (0.0536) loss_rec_sfr: 0.0745 (0.0767) loss_cl: -0.3676 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [14:49:09.878709] Epoch: [289] [500/850] eta: 0:05:04 lr: 0.001816 loss: 0.0151 (0.0174) loss_rec_all: 0.0515 (0.0536) loss_rec_sfr: 0.0578 (0.0763) loss_cl: -0.3677 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [14:49:27.240045] Epoch: [289] [520/850] eta: 0:04:47 lr: 0.001816 loss: 0.0158 (0.0174) loss_rec_all: 0.0522 (0.0536) loss_rec_sfr: 0.0537 (0.0759) loss_cl: -0.3678 (-0.3673) time: 0.8680 data: 0.0004 max mem: 29859 [14:49:44.472895] Epoch: [289] [540/850] eta: 0:04:29 lr: 0.001816 loss: 0.0163 (0.0173) loss_rec_all: 0.0523 (0.0535) loss_rec_sfr: 0.0873 (0.0762) loss_cl: -0.3676 (-0.3674) time: 0.8616 data: 0.0002 max mem: 29859 [14:50:01.745161] Epoch: [289] [560/850] eta: 0:04:12 lr: 0.001816 loss: 0.0158 (0.0173) loss_rec_all: 0.0519 (0.0535) loss_rec_sfr: 0.0735 (0.0762) loss_cl: -0.3671 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [14:50:19.096843] Epoch: [289] [580/850] eta: 0:03:54 lr: 0.001816 loss: 0.0166 (0.0173) loss_rec_all: 0.0526 (0.0535) loss_rec_sfr: 0.0794 (0.0764) loss_cl: -0.3672 (-0.3673) time: 0.8675 data: 0.0004 max mem: 29859 [14:50:36.389053] Epoch: [289] [600/850] eta: 0:03:37 lr: 0.001816 loss: 0.0150 (0.0172) loss_rec_all: 0.0513 (0.0534) loss_rec_sfr: 0.0537 (0.0762) loss_cl: -0.3668 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [14:50:53.628701] Epoch: [289] [620/850] eta: 0:03:20 lr: 0.001815 loss: 0.0163 (0.0172) loss_rec_all: 0.0523 (0.0534) loss_rec_sfr: 0.0882 (0.0764) loss_cl: -0.3671 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [14:51:10.997909] Epoch: [289] [640/850] eta: 0:03:02 lr: 0.001815 loss: 0.0149 (0.0171) loss_rec_all: 0.0514 (0.0533) loss_rec_sfr: 0.0528 (0.0761) loss_cl: -0.3677 (-0.3673) time: 0.8684 data: 0.0003 max mem: 29859 [14:51:28.255570] Epoch: [289] [660/850] eta: 0:02:45 lr: 0.001815 loss: 0.0168 (0.0172) loss_rec_all: 0.0532 (0.0534) loss_rec_sfr: 0.0788 (0.0761) loss_cl: -0.3677 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [14:51:45.537458] Epoch: [289] [680/850] eta: 0:02:27 lr: 0.001815 loss: 0.0183 (0.0172) loss_rec_all: 0.0543 (0.0534) loss_rec_sfr: 0.0808 (0.0762) loss_cl: -0.3674 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [14:52:02.842631] Epoch: [289] [700/850] eta: 0:02:10 lr: 0.001815 loss: 0.0174 (0.0172) loss_rec_all: 0.0538 (0.0534) loss_rec_sfr: 0.0573 (0.0761) loss_cl: -0.3676 (-0.3673) time: 0.8652 data: 0.0003 max mem: 29859 [14:52:20.175842] Epoch: [289] [720/850] eta: 0:01:53 lr: 0.001815 loss: 0.0169 (0.0172) loss_rec_all: 0.0531 (0.0534) loss_rec_sfr: 0.0582 (0.0760) loss_cl: -0.3681 (-0.3674) time: 0.8666 data: 0.0003 max mem: 29859 [14:52:37.418647] Epoch: [289] [740/850] eta: 0:01:35 lr: 0.001815 loss: 0.0154 (0.0172) loss_rec_all: 0.0518 (0.0534) loss_rec_sfr: 0.0580 (0.0757) loss_cl: -0.3681 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [14:52:54.735344] Epoch: [289] [760/850] eta: 0:01:18 lr: 0.001815 loss: 0.0166 (0.0172) loss_rec_all: 0.0528 (0.0534) loss_rec_sfr: 0.0865 (0.0760) loss_cl: -0.3674 (-0.3674) time: 0.8658 data: 0.0003 max mem: 29859 [14:53:12.044052] Epoch: [289] [780/850] eta: 0:01:00 lr: 0.001815 loss: 0.0150 (0.0171) loss_rec_all: 0.0513 (0.0534) loss_rec_sfr: 0.0523 (0.0756) loss_cl: -0.3667 (-0.3674) time: 0.8654 data: 0.0003 max mem: 29859 [14:53:29.329974] Epoch: [289] [800/850] eta: 0:00:43 lr: 0.001815 loss: 0.0163 (0.0171) loss_rec_all: 0.0524 (0.0534) loss_rec_sfr: 0.0724 (0.0756) loss_cl: -0.3668 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [14:53:46.708569] Epoch: [289] [820/850] eta: 0:00:26 lr: 0.001814 loss: 0.0170 (0.0171) loss_rec_all: 0.0529 (0.0533) loss_rec_sfr: 0.0797 (0.0758) loss_cl: -0.3670 (-0.3673) time: 0.8689 data: 0.0002 max mem: 29859 [14:54:04.068126] Epoch: [289] [840/850] eta: 0:00:08 lr: 0.001814 loss: 0.0150 (0.0171) loss_rec_all: 0.0514 (0.0533) loss_rec_sfr: 0.0523 (0.0757) loss_cl: -0.3674 (-0.3673) time: 0.8679 data: 0.0004 max mem: 29859 [14:54:11.826451] Epoch: [289] [849/850] eta: 0:00:00 lr: 0.001814 loss: 0.0150 (0.0171) loss_rec_all: 0.0514 (0.0533) loss_rec_sfr: 0.0534 (0.0756) loss_cl: -0.3674 (-0.3673) time: 0.8657 data: 0.0004 max mem: 29859 [14:54:11.967276] Epoch: [289] Total time: 0:12:18 (0.8689 s / it) [14:54:11.969221] Averaged stats: lr: 0.001814 loss: 0.0150 (0.0172) loss_rec_all: 0.0514 (0.0534) loss_rec_sfr: 0.0534 (0.0756) loss_cl: -0.3674 (-0.3673) [14:54:11.978906] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [14:54:16.498815] Epoch: [290] [ 0/850] eta: 1:04:00 lr: 0.001814 loss: 0.0148 (0.0148) loss_rec_all: 0.0512 (0.0512) loss_rec_sfr: 0.0578 (0.0578) loss_cl: -0.3674 (-0.3674) time: 4.5188 data: 3.3613 max mem: 29859 [14:54:33.703428] Epoch: [290] [ 20/850] eta: 0:14:18 lr: 0.001814 loss: 0.0154 (0.0157) loss_rec_all: 0.0517 (0.0520) loss_rec_sfr: 0.0548 (0.0698) loss_cl: -0.3675 (-0.3674) time: 0.8602 data: 0.0002 max mem: 29859 [14:54:51.032738] Epoch: [290] [ 40/850] eta: 0:12:51 lr: 0.001814 loss: 0.0200 (0.0179) loss_rec_all: 0.0562 (0.0542) loss_rec_sfr: 0.0721 (0.0738) loss_cl: -0.3676 (-0.3675) time: 0.8664 data: 0.0004 max mem: 29859 [14:55:08.287439] Epoch: [290] [ 60/850] eta: 0:12:09 lr: 0.001814 loss: 0.0194 (0.0190) loss_rec_all: 0.0556 (0.0552) loss_rec_sfr: 0.0863 (0.0768) loss_cl: -0.3668 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [14:55:25.562042] Epoch: [290] [ 80/850] eta: 0:11:39 lr: 0.001814 loss: 0.0228 (0.0200) loss_rec_all: 0.0590 (0.0561) loss_rec_sfr: 0.0869 (0.0788) loss_cl: -0.3663 (-0.3670) time: 0.8637 data: 0.0003 max mem: 29859 [14:55:42.840680] Epoch: [290] [100/850] eta: 0:11:14 lr: 0.001814 loss: 0.0199 (0.0201) loss_rec_all: 0.0561 (0.0562) loss_rec_sfr: 0.0642 (0.0786) loss_cl: -0.3667 (-0.3670) time: 0.8639 data: 0.0003 max mem: 29859 [14:56:00.186153] Epoch: [290] [120/850] eta: 0:10:52 lr: 0.001814 loss: 0.0220 (0.0205) loss_rec_all: 0.0581 (0.0567) loss_rec_sfr: 0.0941 (0.0815) loss_cl: -0.3672 (-0.3670) time: 0.8672 data: 0.0004 max mem: 29859 [14:56:17.428564] Epoch: [290] [140/850] eta: 0:10:31 lr: 0.001814 loss: 0.0235 (0.0211) loss_rec_all: 0.0598 (0.0573) loss_rec_sfr: 0.0931 (0.0828) loss_cl: -0.3671 (-0.3670) time: 0.8621 data: 0.0002 max mem: 29859 [14:56:34.760225] Epoch: [290] [160/850] eta: 0:10:11 lr: 0.001813 loss: 0.0208 (0.0212) loss_rec_all: 0.0571 (0.0573) loss_rec_sfr: 0.0679 (0.0833) loss_cl: -0.3678 (-0.3671) time: 0.8665 data: 0.0002 max mem: 29859 [14:56:52.134346] Epoch: [290] [180/850] eta: 0:09:52 lr: 0.001813 loss: 0.0197 (0.0211) loss_rec_all: 0.0559 (0.0573) loss_rec_sfr: 0.0817 (0.0833) loss_cl: -0.3683 (-0.3672) time: 0.8687 data: 0.0004 max mem: 29859 [14:57:09.411337] Epoch: [290] [200/850] eta: 0:09:33 lr: 0.001813 loss: 0.0185 (0.0209) loss_rec_all: 0.0546 (0.0571) loss_rec_sfr: 0.0798 (0.0826) loss_cl: -0.3685 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [14:57:26.666115] Epoch: [290] [220/850] eta: 0:09:14 lr: 0.001813 loss: 0.0185 (0.0207) loss_rec_all: 0.0546 (0.0569) loss_rec_sfr: 0.0790 (0.0823) loss_cl: -0.3679 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [14:57:44.024351] Epoch: [290] [240/850] eta: 0:08:56 lr: 0.001813 loss: 0.0169 (0.0205) loss_rec_all: 0.0533 (0.0567) loss_rec_sfr: 0.0773 (0.0822) loss_cl: -0.3673 (-0.3674) time: 0.8679 data: 0.0003 max mem: 29859 [14:58:01.274181] Epoch: [290] [260/850] eta: 0:08:38 lr: 0.001813 loss: 0.0169 (0.0202) loss_rec_all: 0.0530 (0.0564) loss_rec_sfr: 0.0888 (0.0825) loss_cl: -0.3668 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [14:58:18.549641] Epoch: [290] [280/850] eta: 0:08:20 lr: 0.001813 loss: 0.0162 (0.0200) loss_rec_all: 0.0524 (0.0562) loss_rec_sfr: 0.0770 (0.0825) loss_cl: -0.3668 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [14:58:35.858615] Epoch: [290] [300/850] eta: 0:08:02 lr: 0.001813 loss: 0.0179 (0.0198) loss_rec_all: 0.0541 (0.0560) loss_rec_sfr: 0.0742 (0.0816) loss_cl: -0.3671 (-0.3673) time: 0.8654 data: 0.0003 max mem: 29859 [14:58:53.174799] Epoch: [290] [320/850] eta: 0:07:44 lr: 0.001813 loss: 0.0162 (0.0196) loss_rec_all: 0.0525 (0.0558) loss_rec_sfr: 0.0562 (0.0812) loss_cl: -0.3676 (-0.3673) time: 0.8658 data: 0.0003 max mem: 29859 [14:59:10.407021] Epoch: [290] [340/850] eta: 0:07:26 lr: 0.001813 loss: 0.0155 (0.0194) loss_rec_all: 0.0518 (0.0556) loss_rec_sfr: 0.0730 (0.0809) loss_cl: -0.3680 (-0.3674) time: 0.8616 data: 0.0002 max mem: 29859 [14:59:27.741706] Epoch: [290] [360/850] eta: 0:07:08 lr: 0.001812 loss: 0.0154 (0.0193) loss_rec_all: 0.0519 (0.0554) loss_rec_sfr: 0.0926 (0.0810) loss_cl: -0.3679 (-0.3674) time: 0.8666 data: 0.0003 max mem: 29859 [14:59:45.033941] Epoch: [290] [380/850] eta: 0:06:50 lr: 0.001812 loss: 0.0141 (0.0190) loss_rec_all: 0.0504 (0.0552) loss_rec_sfr: 0.0509 (0.0801) loss_cl: -0.3676 (-0.3674) time: 0.8646 data: 0.0002 max mem: 29859 [15:00:02.313486] Epoch: [290] [400/850] eta: 0:06:33 lr: 0.001812 loss: 0.0144 (0.0188) loss_rec_all: 0.0505 (0.0550) loss_rec_sfr: 0.0518 (0.0792) loss_cl: -0.3671 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [15:00:19.608081] Epoch: [290] [420/850] eta: 0:06:15 lr: 0.001812 loss: 0.0150 (0.0187) loss_rec_all: 0.0513 (0.0548) loss_rec_sfr: 0.0726 (0.0791) loss_cl: -0.3673 (-0.3674) time: 0.8646 data: 0.0003 max mem: 29859 [15:00:36.928685] Epoch: [290] [440/850] eta: 0:05:57 lr: 0.001812 loss: 0.0148 (0.0185) loss_rec_all: 0.0511 (0.0547) loss_rec_sfr: 0.0582 (0.0788) loss_cl: -0.3672 (-0.3674) time: 0.8660 data: 0.0003 max mem: 29859 [15:00:54.168248] Epoch: [290] [460/850] eta: 0:05:40 lr: 0.001812 loss: 0.0154 (0.0184) loss_rec_all: 0.0517 (0.0546) loss_rec_sfr: 0.0532 (0.0786) loss_cl: -0.3671 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [15:01:11.460379] Epoch: [290] [480/850] eta: 0:05:22 lr: 0.001812 loss: 0.0151 (0.0183) loss_rec_all: 0.0514 (0.0545) loss_rec_sfr: 0.0583 (0.0784) loss_cl: -0.3676 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [15:01:28.781035] Epoch: [290] [500/850] eta: 0:05:05 lr: 0.001812 loss: 0.0160 (0.0183) loss_rec_all: 0.0524 (0.0544) loss_rec_sfr: 0.0597 (0.0786) loss_cl: -0.3680 (-0.3674) time: 0.8660 data: 0.0003 max mem: 29859 [15:01:46.075288] Epoch: [290] [520/850] eta: 0:04:47 lr: 0.001812 loss: 0.0170 (0.0182) loss_rec_all: 0.0532 (0.0544) loss_rec_sfr: 0.0562 (0.0784) loss_cl: -0.3674 (-0.3674) time: 0.8646 data: 0.0002 max mem: 29859 [15:02:03.333176] Epoch: [290] [540/850] eta: 0:04:30 lr: 0.001812 loss: 0.0164 (0.0182) loss_rec_all: 0.0525 (0.0544) loss_rec_sfr: 0.0586 (0.0781) loss_cl: -0.3669 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [15:02:20.683246] Epoch: [290] [560/850] eta: 0:04:12 lr: 0.001811 loss: 0.0162 (0.0181) loss_rec_all: 0.0526 (0.0543) loss_rec_sfr: 0.0623 (0.0779) loss_cl: -0.3672 (-0.3673) time: 0.8674 data: 0.0004 max mem: 29859 [15:02:37.977348] Epoch: [290] [580/850] eta: 0:03:55 lr: 0.001811 loss: 0.0165 (0.0181) loss_rec_all: 0.0529 (0.0543) loss_rec_sfr: 0.0579 (0.0780) loss_cl: -0.3677 (-0.3674) time: 0.8647 data: 0.0002 max mem: 29859 [15:02:55.312197] Epoch: [290] [600/850] eta: 0:03:37 lr: 0.001811 loss: 0.0163 (0.0181) loss_rec_all: 0.0527 (0.0543) loss_rec_sfr: 0.0612 (0.0779) loss_cl: -0.3671 (-0.3673) time: 0.8667 data: 0.0003 max mem: 29859 [15:03:12.648336] Epoch: [290] [620/850] eta: 0:03:20 lr: 0.001811 loss: 0.0173 (0.0180) loss_rec_all: 0.0533 (0.0542) loss_rec_sfr: 0.0936 (0.0783) loss_cl: -0.3673 (-0.3673) time: 0.8667 data: 0.0003 max mem: 29859 [15:03:30.023484] Epoch: [290] [640/850] eta: 0:03:02 lr: 0.001811 loss: 0.0162 (0.0180) loss_rec_all: 0.0523 (0.0542) loss_rec_sfr: 0.0717 (0.0781) loss_cl: -0.3675 (-0.3673) time: 0.8687 data: 0.0002 max mem: 29859 [15:03:47.320426] Epoch: [290] [660/850] eta: 0:02:45 lr: 0.001811 loss: 0.0159 (0.0179) loss_rec_all: 0.0520 (0.0541) loss_rec_sfr: 0.0559 (0.0778) loss_cl: -0.3676 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [15:04:04.703262] Epoch: [290] [680/850] eta: 0:02:27 lr: 0.001811 loss: 0.0163 (0.0179) loss_rec_all: 0.0526 (0.0541) loss_rec_sfr: 0.0598 (0.0778) loss_cl: -0.3684 (-0.3674) time: 0.8688 data: 0.0003 max mem: 29859 [15:04:22.101723] Epoch: [290] [700/850] eta: 0:02:10 lr: 0.001811 loss: 0.0159 (0.0179) loss_rec_all: 0.0522 (0.0541) loss_rec_sfr: 0.0592 (0.0776) loss_cl: -0.3678 (-0.3674) time: 0.8699 data: 0.0005 max mem: 29859 [15:04:39.406574] Epoch: [290] [720/850] eta: 0:01:53 lr: 0.001811 loss: 0.0165 (0.0178) loss_rec_all: 0.0528 (0.0540) loss_rec_sfr: 0.0985 (0.0778) loss_cl: -0.3675 (-0.3674) time: 0.8652 data: 0.0002 max mem: 29859 [15:04:56.685279] Epoch: [290] [740/850] eta: 0:01:35 lr: 0.001811 loss: 0.0164 (0.0178) loss_rec_all: 0.0528 (0.0540) loss_rec_sfr: 0.0596 (0.0777) loss_cl: -0.3667 (-0.3674) time: 0.8638 data: 0.0003 max mem: 29859 [15:05:14.085130] Epoch: [290] [760/850] eta: 0:01:18 lr: 0.001810 loss: 0.0159 (0.0178) loss_rec_all: 0.0519 (0.0540) loss_rec_sfr: 0.0841 (0.0777) loss_cl: -0.3671 (-0.3674) time: 0.8699 data: 0.0004 max mem: 29859 [15:05:31.325097] Epoch: [290] [780/850] eta: 0:01:00 lr: 0.001810 loss: 0.0175 (0.0178) loss_rec_all: 0.0536 (0.0540) loss_rec_sfr: 0.0811 (0.0778) loss_cl: -0.3676 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [15:05:48.620460] Epoch: [290] [800/850] eta: 0:00:43 lr: 0.001810 loss: 0.0170 (0.0178) loss_rec_all: 0.0534 (0.0540) loss_rec_sfr: 0.0575 (0.0778) loss_cl: -0.3673 (-0.3674) time: 0.8647 data: 0.0003 max mem: 29859 [15:06:05.949531] Epoch: [290] [820/850] eta: 0:00:26 lr: 0.001810 loss: 0.0178 (0.0178) loss_rec_all: 0.0541 (0.0540) loss_rec_sfr: 0.0633 (0.0778) loss_cl: -0.3677 (-0.3674) time: 0.8664 data: 0.0004 max mem: 29859 [15:06:23.239705] Epoch: [290] [840/850] eta: 0:00:08 lr: 0.001810 loss: 0.0176 (0.0178) loss_rec_all: 0.0535 (0.0540) loss_rec_sfr: 0.0890 (0.0780) loss_cl: -0.3674 (-0.3674) time: 0.8645 data: 0.0005 max mem: 29859 [15:06:31.001489] Epoch: [290] [849/850] eta: 0:00:00 lr: 0.001810 loss: 0.0169 (0.0178) loss_rec_all: 0.0531 (0.0540) loss_rec_sfr: 0.0861 (0.0780) loss_cl: -0.3671 (-0.3674) time: 0.8640 data: 0.0005 max mem: 29859 [15:06:31.135429] Epoch: [290] Total time: 0:12:19 (0.8696 s / it) [15:06:31.137731] Averaged stats: lr: 0.001810 loss: 0.0169 (0.0178) loss_rec_all: 0.0531 (0.0540) loss_rec_sfr: 0.0861 (0.0774) loss_cl: -0.3671 (-0.3673) [15:06:31.149158] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [15:06:35.356853] Epoch: [291] [ 0/850] eta: 0:59:35 lr: 0.001810 loss: 0.0154 (0.0154) loss_rec_all: 0.0518 (0.0518) loss_rec_sfr: 0.0485 (0.0485) loss_cl: -0.3671 (-0.3671) time: 4.2068 data: 2.4589 max mem: 29859 [15:06:53.006453] Epoch: [291] [ 20/850] eta: 0:14:23 lr: 0.001810 loss: 0.0177 (0.0177) loss_rec_all: 0.0537 (0.0538) loss_rec_sfr: 0.0849 (0.0831) loss_cl: -0.3669 (-0.3669) time: 0.8824 data: 0.0200 max mem: 29859 [15:07:10.348449] Epoch: [291] [ 40/850] eta: 0:12:54 lr: 0.001810 loss: 0.0152 (0.0170) loss_rec_all: 0.0516 (0.0531) loss_rec_sfr: 0.0629 (0.0782) loss_cl: -0.3670 (-0.3669) time: 0.8670 data: 0.0003 max mem: 29859 [15:07:27.579850] Epoch: [291] [ 60/850] eta: 0:12:10 lr: 0.001810 loss: 0.0154 (0.0166) loss_rec_all: 0.0518 (0.0527) loss_rec_sfr: 0.0524 (0.0749) loss_cl: -0.3673 (-0.3669) time: 0.8615 data: 0.0002 max mem: 29859 [15:07:44.884526] Epoch: [291] [ 80/850] eta: 0:11:40 lr: 0.001810 loss: 0.0151 (0.0165) loss_rec_all: 0.0514 (0.0527) loss_rec_sfr: 0.0597 (0.0744) loss_cl: -0.3673 (-0.3670) time: 0.8652 data: 0.0003 max mem: 29859 [15:08:02.257472] Epoch: [291] [100/850] eta: 0:11:16 lr: 0.001810 loss: 0.0154 (0.0165) loss_rec_all: 0.0517 (0.0527) loss_rec_sfr: 0.0774 (0.0757) loss_cl: -0.3671 (-0.3670) time: 0.8686 data: 0.0003 max mem: 29859 [15:08:19.516358] Epoch: [291] [120/850] eta: 0:10:53 lr: 0.001809 loss: 0.0154 (0.0164) loss_rec_all: 0.0516 (0.0526) loss_rec_sfr: 0.0766 (0.0758) loss_cl: -0.3676 (-0.3671) time: 0.8629 data: 0.0002 max mem: 29859 [15:08:36.784198] Epoch: [291] [140/850] eta: 0:10:32 lr: 0.001809 loss: 0.0172 (0.0165) loss_rec_all: 0.0532 (0.0527) loss_rec_sfr: 0.0791 (0.0765) loss_cl: -0.3675 (-0.3671) time: 0.8632 data: 0.0003 max mem: 29859 [15:08:54.167274] Epoch: [291] [160/850] eta: 0:10:12 lr: 0.001809 loss: 0.0172 (0.0166) loss_rec_all: 0.0532 (0.0528) loss_rec_sfr: 0.0748 (0.0770) loss_cl: -0.3671 (-0.3671) time: 0.8691 data: 0.0004 max mem: 29859 [15:09:11.433805] Epoch: [291] [180/850] eta: 0:09:53 lr: 0.001809 loss: 0.0177 (0.0167) loss_rec_all: 0.0537 (0.0528) loss_rec_sfr: 0.0800 (0.0777) loss_cl: -0.3668 (-0.3671) time: 0.8633 data: 0.0002 max mem: 29859 [15:09:28.717849] Epoch: [291] [200/850] eta: 0:09:34 lr: 0.001809 loss: 0.0178 (0.0169) loss_rec_all: 0.0541 (0.0530) loss_rec_sfr: 0.0730 (0.0780) loss_cl: -0.3673 (-0.3671) time: 0.8641 data: 0.0002 max mem: 29859 [15:09:46.028956] Epoch: [291] [220/850] eta: 0:09:15 lr: 0.001809 loss: 0.0189 (0.0170) loss_rec_all: 0.0550 (0.0532) loss_rec_sfr: 0.0825 (0.0786) loss_cl: -0.3675 (-0.3671) time: 0.8655 data: 0.0003 max mem: 29859 [15:10:03.341748] Epoch: [291] [240/850] eta: 0:08:57 lr: 0.001809 loss: 0.0170 (0.0171) loss_rec_all: 0.0530 (0.0533) loss_rec_sfr: 0.0790 (0.0787) loss_cl: -0.3675 (-0.3672) time: 0.8656 data: 0.0003 max mem: 29859 [15:10:20.608057] Epoch: [291] [260/850] eta: 0:08:38 lr: 0.001809 loss: 0.0162 (0.0171) loss_rec_all: 0.0525 (0.0532) loss_rec_sfr: 0.0577 (0.0782) loss_cl: -0.3678 (-0.3672) time: 0.8633 data: 0.0003 max mem: 29859 [15:10:37.974187] Epoch: [291] [280/850] eta: 0:08:20 lr: 0.001809 loss: 0.0170 (0.0171) loss_rec_all: 0.0533 (0.0533) loss_rec_sfr: 0.0752 (0.0779) loss_cl: -0.3673 (-0.3672) time: 0.8682 data: 0.0003 max mem: 29859 [15:10:55.291624] Epoch: [291] [300/850] eta: 0:08:02 lr: 0.001809 loss: 0.0175 (0.0171) loss_rec_all: 0.0538 (0.0533) loss_rec_sfr: 0.0812 (0.0782) loss_cl: -0.3667 (-0.3672) time: 0.8658 data: 0.0004 max mem: 29859 [15:11:12.596126] Epoch: [291] [320/850] eta: 0:07:44 lr: 0.001808 loss: 0.0160 (0.0171) loss_rec_all: 0.0523 (0.0533) loss_rec_sfr: 0.0565 (0.0781) loss_cl: -0.3668 (-0.3671) time: 0.8652 data: 0.0002 max mem: 29859 [15:11:29.896429] Epoch: [291] [340/850] eta: 0:07:26 lr: 0.001808 loss: 0.0161 (0.0171) loss_rec_all: 0.0522 (0.0532) loss_rec_sfr: 0.0725 (0.0780) loss_cl: -0.3679 (-0.3672) time: 0.8649 data: 0.0003 max mem: 29859 [15:11:47.267715] Epoch: [291] [360/850] eta: 0:07:09 lr: 0.001808 loss: 0.0160 (0.0170) loss_rec_all: 0.0521 (0.0532) loss_rec_sfr: 0.0760 (0.0780) loss_cl: -0.3673 (-0.3672) time: 0.8685 data: 0.0003 max mem: 29859 [15:12:04.566011] Epoch: [291] [380/850] eta: 0:06:51 lr: 0.001808 loss: 0.0161 (0.0170) loss_rec_all: 0.0522 (0.0532) loss_rec_sfr: 0.0779 (0.0781) loss_cl: -0.3672 (-0.3672) time: 0.8648 data: 0.0004 max mem: 29859 [15:12:21.882608] Epoch: [291] [400/850] eta: 0:06:33 lr: 0.001808 loss: 0.0161 (0.0170) loss_rec_all: 0.0521 (0.0532) loss_rec_sfr: 0.0871 (0.0784) loss_cl: -0.3674 (-0.3672) time: 0.8658 data: 0.0003 max mem: 29859 [15:12:39.121619] Epoch: [291] [420/850] eta: 0:06:15 lr: 0.001808 loss: 0.0159 (0.0170) loss_rec_all: 0.0520 (0.0532) loss_rec_sfr: 0.0765 (0.0784) loss_cl: -0.3676 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [15:12:56.436298] Epoch: [291] [440/850] eta: 0:05:58 lr: 0.001808 loss: 0.0152 (0.0170) loss_rec_all: 0.0515 (0.0531) loss_rec_sfr: 0.0556 (0.0778) loss_cl: -0.3673 (-0.3672) time: 0.8657 data: 0.0002 max mem: 29859 [15:13:13.732341] Epoch: [291] [460/850] eta: 0:05:40 lr: 0.001808 loss: 0.0169 (0.0170) loss_rec_all: 0.0531 (0.0532) loss_rec_sfr: 0.0765 (0.0778) loss_cl: -0.3671 (-0.3672) time: 0.8647 data: 0.0003 max mem: 29859 [15:13:31.001044] Epoch: [291] [480/850] eta: 0:05:22 lr: 0.001808 loss: 0.0181 (0.0170) loss_rec_all: 0.0541 (0.0532) loss_rec_sfr: 0.0631 (0.0777) loss_cl: -0.3671 (-0.3672) time: 0.8634 data: 0.0002 max mem: 29859 [15:13:48.259997] Epoch: [291] [500/850] eta: 0:05:05 lr: 0.001808 loss: 0.0181 (0.0171) loss_rec_all: 0.0542 (0.0533) loss_rec_sfr: 0.0819 (0.0778) loss_cl: -0.3674 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [15:14:05.562203] Epoch: [291] [520/850] eta: 0:04:47 lr: 0.001807 loss: 0.0174 (0.0171) loss_rec_all: 0.0536 (0.0533) loss_rec_sfr: 0.0577 (0.0776) loss_cl: -0.3675 (-0.3672) time: 0.8651 data: 0.0002 max mem: 29859 [15:14:22.800155] Epoch: [291] [540/850] eta: 0:04:30 lr: 0.001807 loss: 0.0159 (0.0171) loss_rec_all: 0.0523 (0.0533) loss_rec_sfr: 0.0591 (0.0774) loss_cl: -0.3673 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [15:14:40.071338] Epoch: [291] [560/850] eta: 0:04:12 lr: 0.001807 loss: 0.0165 (0.0171) loss_rec_all: 0.0527 (0.0533) loss_rec_sfr: 0.0575 (0.0771) loss_cl: -0.3676 (-0.3672) time: 0.8635 data: 0.0002 max mem: 29859 [15:14:57.298969] Epoch: [291] [580/850] eta: 0:03:55 lr: 0.001807 loss: 0.0172 (0.0171) loss_rec_all: 0.0534 (0.0533) loss_rec_sfr: 0.0798 (0.0773) loss_cl: -0.3680 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [15:15:14.583163] Epoch: [291] [600/850] eta: 0:03:37 lr: 0.001807 loss: 0.0151 (0.0171) loss_rec_all: 0.0515 (0.0533) loss_rec_sfr: 0.0560 (0.0768) loss_cl: -0.3679 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [15:15:31.831362] Epoch: [291] [620/850] eta: 0:03:20 lr: 0.001807 loss: 0.0167 (0.0171) loss_rec_all: 0.0531 (0.0533) loss_rec_sfr: 0.0825 (0.0770) loss_cl: -0.3673 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [15:15:49.126010] Epoch: [291] [640/850] eta: 0:03:02 lr: 0.001807 loss: 0.0171 (0.0171) loss_rec_all: 0.0531 (0.0533) loss_rec_sfr: 0.0573 (0.0769) loss_cl: -0.3676 (-0.3673) time: 0.8647 data: 0.0003 max mem: 29859 [15:16:06.379091] Epoch: [291] [660/850] eta: 0:02:45 lr: 0.001807 loss: 0.0156 (0.0171) loss_rec_all: 0.0514 (0.0533) loss_rec_sfr: 0.0737 (0.0767) loss_cl: -0.3667 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [15:16:23.677530] Epoch: [291] [680/850] eta: 0:02:27 lr: 0.001807 loss: 0.0157 (0.0171) loss_rec_all: 0.0519 (0.0533) loss_rec_sfr: 0.0559 (0.0765) loss_cl: -0.3665 (-0.3672) time: 0.8648 data: 0.0002 max mem: 29859 [15:16:40.937670] Epoch: [291] [700/850] eta: 0:02:10 lr: 0.001806 loss: 0.0164 (0.0171) loss_rec_all: 0.0524 (0.0533) loss_rec_sfr: 0.0590 (0.0765) loss_cl: -0.3666 (-0.3672) time: 0.8630 data: 0.0003 max mem: 29859 [15:16:58.242064] Epoch: [291] [720/850] eta: 0:01:53 lr: 0.001806 loss: 0.0159 (0.0171) loss_rec_all: 0.0523 (0.0533) loss_rec_sfr: 0.0575 (0.0763) loss_cl: -0.3677 (-0.3672) time: 0.8652 data: 0.0002 max mem: 29859 [15:17:15.497666] Epoch: [291] [740/850] eta: 0:01:35 lr: 0.001806 loss: 0.0154 (0.0171) loss_rec_all: 0.0519 (0.0533) loss_rec_sfr: 0.0547 (0.0761) loss_cl: -0.3682 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [15:17:32.789195] Epoch: [291] [760/850] eta: 0:01:18 lr: 0.001806 loss: 0.0161 (0.0171) loss_rec_all: 0.0525 (0.0533) loss_rec_sfr: 0.0654 (0.0760) loss_cl: -0.3682 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [15:17:50.075479] Epoch: [291] [780/850] eta: 0:01:00 lr: 0.001806 loss: 0.0170 (0.0171) loss_rec_all: 0.0533 (0.0533) loss_rec_sfr: 0.0599 (0.0760) loss_cl: -0.3671 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [15:18:07.398853] Epoch: [291] [800/850] eta: 0:00:43 lr: 0.001806 loss: 0.0178 (0.0171) loss_rec_all: 0.0540 (0.0533) loss_rec_sfr: 0.0650 (0.0760) loss_cl: -0.3668 (-0.3673) time: 0.8661 data: 0.0002 max mem: 29859 [15:18:24.659555] Epoch: [291] [820/850] eta: 0:00:26 lr: 0.001806 loss: 0.0168 (0.0171) loss_rec_all: 0.0529 (0.0533) loss_rec_sfr: 0.0809 (0.0761) loss_cl: -0.3672 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [15:18:41.981089] Epoch: [291] [840/850] eta: 0:00:08 lr: 0.001806 loss: 0.0152 (0.0171) loss_rec_all: 0.0517 (0.0533) loss_rec_sfr: 0.0562 (0.0759) loss_cl: -0.3677 (-0.3673) time: 0.8660 data: 0.0005 max mem: 29859 [15:18:49.744553] Epoch: [291] [849/850] eta: 0:00:00 lr: 0.001806 loss: 0.0152 (0.0171) loss_rec_all: 0.0516 (0.0533) loss_rec_sfr: 0.0580 (0.0760) loss_cl: -0.3674 (-0.3673) time: 0.8646 data: 0.0004 max mem: 29859 [15:18:49.887012] Epoch: [291] Total time: 0:12:18 (0.8691 s / it) [15:18:49.889532] Averaged stats: lr: 0.001806 loss: 0.0152 (0.0171) loss_rec_all: 0.0516 (0.0533) loss_rec_sfr: 0.0580 (0.0758) loss_cl: -0.3674 (-0.3673) [15:18:49.902235] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [15:18:58.115077] Epoch: [292] [ 0/850] eta: 1:56:20 lr: 0.001806 loss: 0.0172 (0.0172) loss_rec_all: 0.0533 (0.0533) loss_rec_sfr: 0.1100 (0.1100) loss_cl: -0.3684 (-0.3684) time: 8.2121 data: 7.3509 max mem: 29859 [15:19:15.330003] Epoch: [292] [ 20/850] eta: 0:16:44 lr: 0.001806 loss: 0.0147 (0.0159) loss_rec_all: 0.0510 (0.0522) loss_rec_sfr: 0.0539 (0.0673) loss_cl: -0.3676 (-0.3676) time: 0.8607 data: 0.0002 max mem: 29859 [15:19:32.583283] Epoch: [292] [ 40/850] eta: 0:14:03 lr: 0.001806 loss: 0.0150 (0.0157) loss_rec_all: 0.0511 (0.0520) loss_rec_sfr: 0.0592 (0.0665) loss_cl: -0.3668 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [15:19:49.818717] Epoch: [292] [ 60/850] eta: 0:12:55 lr: 0.001805 loss: 0.0177 (0.0163) loss_rec_all: 0.0535 (0.0525) loss_rec_sfr: 0.0878 (0.0714) loss_cl: -0.3667 (-0.3670) time: 0.8617 data: 0.0002 max mem: 29859 [15:20:07.124005] Epoch: [292] [ 80/850] eta: 0:12:14 lr: 0.001805 loss: 0.0160 (0.0163) loss_rec_all: 0.0523 (0.0525) loss_rec_sfr: 0.0585 (0.0719) loss_cl: -0.3668 (-0.3670) time: 0.8652 data: 0.0003 max mem: 29859 [15:20:24.388385] Epoch: [292] [100/850] eta: 0:11:41 lr: 0.001805 loss: 0.0167 (0.0165) loss_rec_all: 0.0530 (0.0527) loss_rec_sfr: 0.0772 (0.0738) loss_cl: -0.3672 (-0.3670) time: 0.8632 data: 0.0002 max mem: 29859 [15:20:41.677852] Epoch: [292] [120/850] eta: 0:11:14 lr: 0.001805 loss: 0.0157 (0.0164) loss_rec_all: 0.0521 (0.0526) loss_rec_sfr: 0.0530 (0.0725) loss_cl: -0.3681 (-0.3672) time: 0.8644 data: 0.0002 max mem: 29859 [15:20:58.925046] Epoch: [292] [140/850] eta: 0:10:49 lr: 0.001805 loss: 0.0159 (0.0165) loss_rec_all: 0.0523 (0.0527) loss_rec_sfr: 0.0560 (0.0717) loss_cl: -0.3683 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [15:21:16.223511] Epoch: [292] [160/850] eta: 0:10:27 lr: 0.001805 loss: 0.0163 (0.0165) loss_rec_all: 0.0527 (0.0527) loss_rec_sfr: 0.0769 (0.0724) loss_cl: -0.3681 (-0.3674) time: 0.8649 data: 0.0003 max mem: 29859 [15:21:33.476769] Epoch: [292] [180/850] eta: 0:10:05 lr: 0.001805 loss: 0.0152 (0.0164) loss_rec_all: 0.0514 (0.0526) loss_rec_sfr: 0.0576 (0.0722) loss_cl: -0.3673 (-0.3674) time: 0.8626 data: 0.0002 max mem: 29859 [15:21:50.759519] Epoch: [292] [200/850] eta: 0:09:44 lr: 0.001805 loss: 0.0156 (0.0163) loss_rec_all: 0.0518 (0.0525) loss_rec_sfr: 0.0603 (0.0724) loss_cl: -0.3671 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [15:22:08.021582] Epoch: [292] [220/850] eta: 0:09:24 lr: 0.001805 loss: 0.0150 (0.0163) loss_rec_all: 0.0514 (0.0525) loss_rec_sfr: 0.0560 (0.0720) loss_cl: -0.3671 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [15:22:25.325645] Epoch: [292] [240/850] eta: 0:09:05 lr: 0.001805 loss: 0.0169 (0.0164) loss_rec_all: 0.0530 (0.0526) loss_rec_sfr: 0.0761 (0.0728) loss_cl: -0.3669 (-0.3673) time: 0.8652 data: 0.0003 max mem: 29859 [15:22:42.573783] Epoch: [292] [260/850] eta: 0:08:45 lr: 0.001804 loss: 0.0154 (0.0164) loss_rec_all: 0.0517 (0.0526) loss_rec_sfr: 0.0558 (0.0725) loss_cl: -0.3670 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [15:22:59.879159] Epoch: [292] [280/850] eta: 0:08:27 lr: 0.001804 loss: 0.0146 (0.0163) loss_rec_all: 0.0509 (0.0525) loss_rec_sfr: 0.0585 (0.0722) loss_cl: -0.3670 (-0.3673) time: 0.8652 data: 0.0002 max mem: 29859 [15:23:17.136755] Epoch: [292] [300/850] eta: 0:08:08 lr: 0.001804 loss: 0.0168 (0.0164) loss_rec_all: 0.0531 (0.0526) loss_rec_sfr: 0.0604 (0.0723) loss_cl: -0.3676 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [15:23:34.450243] Epoch: [292] [320/850] eta: 0:07:49 lr: 0.001804 loss: 0.0168 (0.0165) loss_rec_all: 0.0528 (0.0527) loss_rec_sfr: 0.0746 (0.0721) loss_cl: -0.3680 (-0.3673) time: 0.8656 data: 0.0003 max mem: 29859 [15:23:51.720148] Epoch: [292] [340/850] eta: 0:07:31 lr: 0.001804 loss: 0.0166 (0.0165) loss_rec_all: 0.0528 (0.0528) loss_rec_sfr: 0.0641 (0.0721) loss_cl: -0.3681 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [15:24:09.020312] Epoch: [292] [360/850] eta: 0:07:13 lr: 0.001804 loss: 0.0185 (0.0167) loss_rec_all: 0.0546 (0.0529) loss_rec_sfr: 0.0847 (0.0730) loss_cl: -0.3679 (-0.3674) time: 0.8650 data: 0.0002 max mem: 29859 [15:24:26.286885] Epoch: [292] [380/850] eta: 0:06:54 lr: 0.001804 loss: 0.0174 (0.0168) loss_rec_all: 0.0538 (0.0530) loss_rec_sfr: 0.0629 (0.0733) loss_cl: -0.3676 (-0.3674) time: 0.8633 data: 0.0003 max mem: 29859 [15:24:43.577401] Epoch: [292] [400/850] eta: 0:06:36 lr: 0.001804 loss: 0.0159 (0.0168) loss_rec_all: 0.0523 (0.0530) loss_rec_sfr: 0.0537 (0.0731) loss_cl: -0.3675 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [15:25:00.848930] Epoch: [292] [420/850] eta: 0:06:18 lr: 0.001804 loss: 0.0172 (0.0168) loss_rec_all: 0.0531 (0.0531) loss_rec_sfr: 0.0790 (0.0734) loss_cl: -0.3671 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [15:25:18.142202] Epoch: [292] [440/850] eta: 0:06:00 lr: 0.001804 loss: 0.0168 (0.0169) loss_rec_all: 0.0528 (0.0531) loss_rec_sfr: 0.0772 (0.0734) loss_cl: -0.3664 (-0.3673) time: 0.8646 data: 0.0003 max mem: 29859 [15:25:35.390338] Epoch: [292] [460/850] eta: 0:05:43 lr: 0.001803 loss: 0.0158 (0.0169) loss_rec_all: 0.0520 (0.0531) loss_rec_sfr: 0.0562 (0.0733) loss_cl: -0.3668 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [15:25:52.697585] Epoch: [292] [480/850] eta: 0:05:25 lr: 0.001803 loss: 0.0159 (0.0168) loss_rec_all: 0.0521 (0.0531) loss_rec_sfr: 0.0574 (0.0733) loss_cl: -0.3674 (-0.3673) time: 0.8653 data: 0.0003 max mem: 29859 [15:26:09.956596] Epoch: [292] [500/850] eta: 0:05:07 lr: 0.001803 loss: 0.0166 (0.0169) loss_rec_all: 0.0526 (0.0531) loss_rec_sfr: 0.0791 (0.0735) loss_cl: -0.3679 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [15:26:27.265126] Epoch: [292] [520/850] eta: 0:04:49 lr: 0.001803 loss: 0.0163 (0.0169) loss_rec_all: 0.0526 (0.0531) loss_rec_sfr: 0.0738 (0.0735) loss_cl: -0.3677 (-0.3673) time: 0.8654 data: 0.0002 max mem: 29859 [15:26:44.487741] Epoch: [292] [540/850] eta: 0:04:31 lr: 0.001803 loss: 0.0179 (0.0170) loss_rec_all: 0.0539 (0.0532) loss_rec_sfr: 0.0589 (0.0736) loss_cl: -0.3675 (-0.3674) time: 0.8611 data: 0.0002 max mem: 29859 [15:27:01.798971] Epoch: [292] [560/850] eta: 0:04:14 lr: 0.001803 loss: 0.0177 (0.0170) loss_rec_all: 0.0537 (0.0532) loss_rec_sfr: 0.0776 (0.0739) loss_cl: -0.3673 (-0.3674) time: 0.8655 data: 0.0002 max mem: 29859 [15:27:19.092458] Epoch: [292] [580/850] eta: 0:03:56 lr: 0.001803 loss: 0.0168 (0.0170) loss_rec_all: 0.0527 (0.0533) loss_rec_sfr: 0.0626 (0.0740) loss_cl: -0.3669 (-0.3673) time: 0.8646 data: 0.0003 max mem: 29859 [15:27:36.374487] Epoch: [292] [600/850] eta: 0:03:38 lr: 0.001803 loss: 0.0163 (0.0170) loss_rec_all: 0.0524 (0.0533) loss_rec_sfr: 0.0580 (0.0738) loss_cl: -0.3672 (-0.3673) time: 0.8640 data: 0.0003 max mem: 29859 [15:27:53.614490] Epoch: [292] [620/850] eta: 0:03:21 lr: 0.001803 loss: 0.0166 (0.0170) loss_rec_all: 0.0527 (0.0533) loss_rec_sfr: 0.0548 (0.0737) loss_cl: -0.3670 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [15:28:10.902504] Epoch: [292] [640/850] eta: 0:03:03 lr: 0.001802 loss: 0.0166 (0.0171) loss_rec_all: 0.0530 (0.0533) loss_rec_sfr: 0.0743 (0.0739) loss_cl: -0.3671 (-0.3673) time: 0.8643 data: 0.0003 max mem: 29859 [15:28:28.151212] Epoch: [292] [660/850] eta: 0:02:46 lr: 0.001802 loss: 0.0166 (0.0171) loss_rec_all: 0.0528 (0.0533) loss_rec_sfr: 0.0595 (0.0738) loss_cl: -0.3671 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [15:28:45.440499] Epoch: [292] [680/850] eta: 0:02:28 lr: 0.001802 loss: 0.0157 (0.0170) loss_rec_all: 0.0520 (0.0533) loss_rec_sfr: 0.0550 (0.0737) loss_cl: -0.3671 (-0.3673) time: 0.8644 data: 0.0003 max mem: 29859 [15:29:02.684116] Epoch: [292] [700/850] eta: 0:02:11 lr: 0.001802 loss: 0.0159 (0.0170) loss_rec_all: 0.0521 (0.0532) loss_rec_sfr: 0.0737 (0.0737) loss_cl: -0.3673 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [15:29:19.981434] Epoch: [292] [720/850] eta: 0:01:53 lr: 0.001802 loss: 0.0174 (0.0170) loss_rec_all: 0.0534 (0.0532) loss_rec_sfr: 0.0813 (0.0739) loss_cl: -0.3680 (-0.3673) time: 0.8648 data: 0.0003 max mem: 29859 [15:29:37.233033] Epoch: [292] [740/850] eta: 0:01:36 lr: 0.001802 loss: 0.0150 (0.0170) loss_rec_all: 0.0514 (0.0532) loss_rec_sfr: 0.0540 (0.0736) loss_cl: -0.3683 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [15:29:54.517588] Epoch: [292] [760/850] eta: 0:01:18 lr: 0.001802 loss: 0.0157 (0.0170) loss_rec_all: 0.0521 (0.0532) loss_rec_sfr: 0.0584 (0.0736) loss_cl: -0.3677 (-0.3673) time: 0.8642 data: 0.0003 max mem: 29859 [15:30:11.773525] Epoch: [292] [780/850] eta: 0:01:01 lr: 0.001802 loss: 0.0155 (0.0170) loss_rec_all: 0.0519 (0.0532) loss_rec_sfr: 0.0542 (0.0735) loss_cl: -0.3673 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [15:30:29.074035] Epoch: [292] [800/850] eta: 0:00:43 lr: 0.001802 loss: 0.0153 (0.0169) loss_rec_all: 0.0516 (0.0532) loss_rec_sfr: 0.0604 (0.0734) loss_cl: -0.3670 (-0.3673) time: 0.8650 data: 0.0003 max mem: 29859 [15:30:46.344242] Epoch: [292] [820/850] eta: 0:00:26 lr: 0.001802 loss: 0.0152 (0.0169) loss_rec_all: 0.0515 (0.0531) loss_rec_sfr: 0.0584 (0.0734) loss_cl: -0.3668 (-0.3673) time: 0.8635 data: 0.0003 max mem: 29859 [15:31:03.624926] Epoch: [292] [840/850] eta: 0:00:08 lr: 0.001801 loss: 0.0159 (0.0169) loss_rec_all: 0.0522 (0.0531) loss_rec_sfr: 0.0577 (0.0734) loss_cl: -0.3671 (-0.3673) time: 0.8640 data: 0.0005 max mem: 29859 [15:31:11.387387] Epoch: [292] [849/850] eta: 0:00:00 lr: 0.001801 loss: 0.0175 (0.0169) loss_rec_all: 0.0536 (0.0531) loss_rec_sfr: 0.0596 (0.0733) loss_cl: -0.3675 (-0.3673) time: 0.8640 data: 0.0004 max mem: 29859 [15:31:11.554198] Epoch: [292] Total time: 0:12:21 (0.8725 s / it) [15:31:11.556223] Averaged stats: lr: 0.001801 loss: 0.0175 (0.0169) loss_rec_all: 0.0536 (0.0531) loss_rec_sfr: 0.0596 (0.0739) loss_cl: -0.3675 (-0.3673) [15:31:11.566802] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [15:31:16.991747] Epoch: [293] [ 0/850] eta: 1:16:50 lr: 0.001801 loss: 0.0187 (0.0187) loss_rec_all: 0.0548 (0.0548) loss_rec_sfr: 0.0940 (0.0940) loss_cl: -0.3675 (-0.3675) time: 5.4239 data: 4.5653 max mem: 29859 [15:31:34.220792] Epoch: [293] [ 20/850] eta: 0:14:55 lr: 0.001801 loss: 0.0169 (0.0177) loss_rec_all: 0.0530 (0.0539) loss_rec_sfr: 0.0822 (0.0827) loss_cl: -0.3682 (-0.3682) time: 0.8614 data: 0.0002 max mem: 29859 [15:31:51.488606] Epoch: [293] [ 40/850] eta: 0:13:08 lr: 0.001801 loss: 0.0181 (0.0182) loss_rec_all: 0.0543 (0.0545) loss_rec_sfr: 0.0634 (0.0787) loss_cl: -0.3678 (-0.3680) time: 0.8633 data: 0.0002 max mem: 29859 [15:32:08.757878] Epoch: [293] [ 60/850] eta: 0:12:20 lr: 0.001801 loss: 0.0189 (0.0186) loss_rec_all: 0.0551 (0.0548) loss_rec_sfr: 0.0685 (0.0794) loss_cl: -0.3678 (-0.3680) time: 0.8634 data: 0.0002 max mem: 29859 [15:32:26.041696] Epoch: [293] [ 80/850] eta: 0:11:47 lr: 0.001801 loss: 0.0173 (0.0184) loss_rec_all: 0.0534 (0.0547) loss_rec_sfr: 0.0694 (0.0795) loss_cl: -0.3674 (-0.3678) time: 0.8641 data: 0.0002 max mem: 29859 [15:32:43.288270] Epoch: [293] [100/850] eta: 0:11:21 lr: 0.001801 loss: 0.0182 (0.0184) loss_rec_all: 0.0542 (0.0547) loss_rec_sfr: 0.0776 (0.0796) loss_cl: -0.3671 (-0.3677) time: 0.8623 data: 0.0002 max mem: 29859 [15:33:00.591475] Epoch: [293] [120/850] eta: 0:10:57 lr: 0.001801 loss: 0.0181 (0.0184) loss_rec_all: 0.0539 (0.0546) loss_rec_sfr: 0.0798 (0.0804) loss_cl: -0.3671 (-0.3676) time: 0.8651 data: 0.0003 max mem: 29859 [15:33:17.838949] Epoch: [293] [140/850] eta: 0:10:35 lr: 0.001801 loss: 0.0162 (0.0182) loss_rec_all: 0.0525 (0.0544) loss_rec_sfr: 0.0747 (0.0794) loss_cl: -0.3667 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [15:33:35.162074] Epoch: [293] [160/850] eta: 0:10:15 lr: 0.001801 loss: 0.0173 (0.0181) loss_rec_all: 0.0534 (0.0543) loss_rec_sfr: 0.0794 (0.0798) loss_cl: -0.3673 (-0.3674) time: 0.8661 data: 0.0003 max mem: 29859 [15:33:52.409478] Epoch: [293] [180/850] eta: 0:09:55 lr: 0.001801 loss: 0.0152 (0.0178) loss_rec_all: 0.0512 (0.0540) loss_rec_sfr: 0.0572 (0.0788) loss_cl: -0.3678 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [15:34:09.728894] Epoch: [293] [200/850] eta: 0:09:36 lr: 0.001800 loss: 0.0149 (0.0177) loss_rec_all: 0.0513 (0.0539) loss_rec_sfr: 0.0593 (0.0775) loss_cl: -0.3676 (-0.3675) time: 0.8659 data: 0.0002 max mem: 29859 [15:34:26.985411] Epoch: [293] [220/850] eta: 0:09:17 lr: 0.001800 loss: 0.0153 (0.0175) loss_rec_all: 0.0518 (0.0537) loss_rec_sfr: 0.0559 (0.0769) loss_cl: -0.3674 (-0.3675) time: 0.8628 data: 0.0002 max mem: 29859 [15:34:44.267377] Epoch: [293] [240/850] eta: 0:08:58 lr: 0.001800 loss: 0.0151 (0.0173) loss_rec_all: 0.0514 (0.0535) loss_rec_sfr: 0.0626 (0.0770) loss_cl: -0.3670 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [15:35:01.520731] Epoch: [293] [260/850] eta: 0:08:39 lr: 0.001800 loss: 0.0148 (0.0173) loss_rec_all: 0.0511 (0.0535) loss_rec_sfr: 0.0727 (0.0769) loss_cl: -0.3669 (-0.3674) time: 0.8626 data: 0.0002 max mem: 29859 [15:35:18.820954] Epoch: [293] [280/850] eta: 0:08:21 lr: 0.001800 loss: 0.0152 (0.0172) loss_rec_all: 0.0514 (0.0534) loss_rec_sfr: 0.0619 (0.0764) loss_cl: -0.3673 (-0.3674) time: 0.8650 data: 0.0003 max mem: 29859 [15:35:36.063928] Epoch: [293] [300/850] eta: 0:08:03 lr: 0.001800 loss: 0.0165 (0.0171) loss_rec_all: 0.0529 (0.0533) loss_rec_sfr: 0.0752 (0.0766) loss_cl: -0.3677 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [15:35:53.364437] Epoch: [293] [320/850] eta: 0:07:45 lr: 0.001800 loss: 0.0165 (0.0171) loss_rec_all: 0.0525 (0.0533) loss_rec_sfr: 0.0807 (0.0770) loss_cl: -0.3678 (-0.3674) time: 0.8650 data: 0.0003 max mem: 29859 [15:36:10.602914] Epoch: [293] [340/850] eta: 0:07:27 lr: 0.001800 loss: 0.0162 (0.0170) loss_rec_all: 0.0523 (0.0532) loss_rec_sfr: 0.0563 (0.0767) loss_cl: -0.3677 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [15:36:27.898420] Epoch: [293] [360/850] eta: 0:07:09 lr: 0.001800 loss: 0.0154 (0.0170) loss_rec_all: 0.0516 (0.0532) loss_rec_sfr: 0.0531 (0.0761) loss_cl: -0.3671 (-0.3674) time: 0.8647 data: 0.0003 max mem: 29859 [15:36:45.137607] Epoch: [293] [380/850] eta: 0:06:51 lr: 0.001800 loss: 0.0164 (0.0170) loss_rec_all: 0.0526 (0.0532) loss_rec_sfr: 0.0558 (0.0758) loss_cl: -0.3669 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [15:37:02.422950] Epoch: [293] [400/850] eta: 0:06:33 lr: 0.001799 loss: 0.0150 (0.0169) loss_rec_all: 0.0512 (0.0532) loss_rec_sfr: 0.0592 (0.0758) loss_cl: -0.3677 (-0.3674) time: 0.8642 data: 0.0002 max mem: 29859 [15:37:19.653503] Epoch: [293] [420/850] eta: 0:06:15 lr: 0.001799 loss: 0.0152 (0.0169) loss_rec_all: 0.0517 (0.0531) loss_rec_sfr: 0.0565 (0.0756) loss_cl: -0.3679 (-0.3674) time: 0.8615 data: 0.0002 max mem: 29859 [15:37:36.933844] Epoch: [293] [440/850] eta: 0:05:58 lr: 0.001799 loss: 0.0158 (0.0169) loss_rec_all: 0.0523 (0.0531) loss_rec_sfr: 0.0585 (0.0755) loss_cl: -0.3678 (-0.3674) time: 0.8640 data: 0.0003 max mem: 29859 [15:37:54.189427] Epoch: [293] [460/850] eta: 0:05:40 lr: 0.001799 loss: 0.0163 (0.0169) loss_rec_all: 0.0522 (0.0531) loss_rec_sfr: 0.0631 (0.0755) loss_cl: -0.3675 (-0.3674) time: 0.8627 data: 0.0003 max mem: 29859 [15:38:11.465512] Epoch: [293] [480/850] eta: 0:05:22 lr: 0.001799 loss: 0.0157 (0.0169) loss_rec_all: 0.0520 (0.0531) loss_rec_sfr: 0.0581 (0.0754) loss_cl: -0.3671 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [15:38:28.718663] Epoch: [293] [500/850] eta: 0:05:05 lr: 0.001799 loss: 0.0157 (0.0169) loss_rec_all: 0.0520 (0.0531) loss_rec_sfr: 0.0769 (0.0753) loss_cl: -0.3670 (-0.3674) time: 0.8626 data: 0.0002 max mem: 29859 [15:38:46.005150] Epoch: [293] [520/850] eta: 0:04:47 lr: 0.001799 loss: 0.0153 (0.0168) loss_rec_all: 0.0515 (0.0531) loss_rec_sfr: 0.0602 (0.0751) loss_cl: -0.3666 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [15:39:03.267298] Epoch: [293] [540/850] eta: 0:04:30 lr: 0.001799 loss: 0.0167 (0.0169) loss_rec_all: 0.0528 (0.0531) loss_rec_sfr: 0.0767 (0.0753) loss_cl: -0.3671 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [15:39:20.547776] Epoch: [293] [560/850] eta: 0:04:12 lr: 0.001799 loss: 0.0169 (0.0169) loss_rec_all: 0.0532 (0.0531) loss_rec_sfr: 0.0618 (0.0752) loss_cl: -0.3670 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [15:39:37.808602] Epoch: [293] [580/850] eta: 0:03:55 lr: 0.001799 loss: 0.0164 (0.0169) loss_rec_all: 0.0523 (0.0531) loss_rec_sfr: 0.0822 (0.0754) loss_cl: -0.3662 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [15:39:55.097973] Epoch: [293] [600/850] eta: 0:03:37 lr: 0.001798 loss: 0.0173 (0.0169) loss_rec_all: 0.0537 (0.0531) loss_rec_sfr: 0.0662 (0.0755) loss_cl: -0.3673 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [15:40:12.360299] Epoch: [293] [620/850] eta: 0:03:20 lr: 0.001798 loss: 0.0172 (0.0170) loss_rec_all: 0.0533 (0.0532) loss_rec_sfr: 0.0811 (0.0758) loss_cl: -0.3678 (-0.3673) time: 0.8631 data: 0.0003 max mem: 29859 [15:40:29.655677] Epoch: [293] [640/850] eta: 0:03:02 lr: 0.001798 loss: 0.0171 (0.0170) loss_rec_all: 0.0535 (0.0532) loss_rec_sfr: 0.0596 (0.0758) loss_cl: -0.3673 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [15:40:46.931225] Epoch: [293] [660/850] eta: 0:02:45 lr: 0.001798 loss: 0.0169 (0.0170) loss_rec_all: 0.0529 (0.0532) loss_rec_sfr: 0.0589 (0.0758) loss_cl: -0.3675 (-0.3673) time: 0.8637 data: 0.0003 max mem: 29859 [15:41:04.223140] Epoch: [293] [680/850] eta: 0:02:27 lr: 0.001798 loss: 0.0156 (0.0170) loss_rec_all: 0.0519 (0.0532) loss_rec_sfr: 0.0694 (0.0758) loss_cl: -0.3674 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [15:41:21.478368] Epoch: [293] [700/850] eta: 0:02:10 lr: 0.001798 loss: 0.0177 (0.0170) loss_rec_all: 0.0538 (0.0532) loss_rec_sfr: 0.0793 (0.0759) loss_cl: -0.3673 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [15:41:38.753911] Epoch: [293] [720/850] eta: 0:01:53 lr: 0.001798 loss: 0.0168 (0.0170) loss_rec_all: 0.0532 (0.0532) loss_rec_sfr: 0.0567 (0.0757) loss_cl: -0.3672 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [15:41:55.975191] Epoch: [293] [740/850] eta: 0:01:35 lr: 0.001798 loss: 0.0168 (0.0171) loss_rec_all: 0.0530 (0.0533) loss_rec_sfr: 0.0588 (0.0756) loss_cl: -0.3675 (-0.3673) time: 0.8610 data: 0.0002 max mem: 29859 [15:42:13.251441] Epoch: [293] [760/850] eta: 0:01:18 lr: 0.001798 loss: 0.0170 (0.0171) loss_rec_all: 0.0534 (0.0533) loss_rec_sfr: 0.0553 (0.0755) loss_cl: -0.3679 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [15:42:30.498519] Epoch: [293] [780/850] eta: 0:01:00 lr: 0.001798 loss: 0.0173 (0.0171) loss_rec_all: 0.0537 (0.0533) loss_rec_sfr: 0.0553 (0.0755) loss_cl: -0.3674 (-0.3673) time: 0.8623 data: 0.0003 max mem: 29859 [15:42:47.778833] Epoch: [293] [800/850] eta: 0:00:43 lr: 0.001797 loss: 0.0165 (0.0171) loss_rec_all: 0.0525 (0.0533) loss_rec_sfr: 0.0784 (0.0755) loss_cl: -0.3673 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [15:43:05.028183] Epoch: [293] [820/850] eta: 0:00:26 lr: 0.001797 loss: 0.0160 (0.0171) loss_rec_all: 0.0521 (0.0533) loss_rec_sfr: 0.0611 (0.0754) loss_cl: -0.3672 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [15:43:22.315140] Epoch: [293] [840/850] eta: 0:00:08 lr: 0.001797 loss: 0.0170 (0.0171) loss_rec_all: 0.0532 (0.0533) loss_rec_sfr: 0.0766 (0.0754) loss_cl: -0.3672 (-0.3673) time: 0.8643 data: 0.0005 max mem: 29859 [15:43:30.066938] Epoch: [293] [849/850] eta: 0:00:00 lr: 0.001797 loss: 0.0170 (0.0171) loss_rec_all: 0.0532 (0.0533) loss_rec_sfr: 0.0768 (0.0755) loss_cl: -0.3674 (-0.3673) time: 0.8640 data: 0.0004 max mem: 29859 [15:43:30.197799] Epoch: [293] Total time: 0:12:18 (0.8690 s / it) [15:43:30.200274] Averaged stats: lr: 0.001797 loss: 0.0170 (0.0171) loss_rec_all: 0.0532 (0.0532) loss_rec_sfr: 0.0768 (0.0760) loss_cl: -0.3674 (-0.3673) [15:43:30.212275] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [15:43:34.758331] Epoch: [294] [ 0/850] eta: 1:04:23 lr: 0.001797 loss: 0.0135 (0.0135) loss_rec_all: 0.0499 (0.0499) loss_rec_sfr: 0.0594 (0.0594) loss_cl: -0.3682 (-0.3682) time: 4.5448 data: 3.6902 max mem: 29859 [15:43:51.958869] Epoch: [294] [ 20/850] eta: 0:14:19 lr: 0.001797 loss: 0.0163 (0.0164) loss_rec_all: 0.0528 (0.0526) loss_rec_sfr: 0.0752 (0.0739) loss_cl: -0.3679 (-0.3678) time: 0.8600 data: 0.0002 max mem: 29859 [15:44:09.221694] Epoch: [294] [ 40/850] eta: 0:12:50 lr: 0.001797 loss: 0.0158 (0.0163) loss_rec_all: 0.0520 (0.0525) loss_rec_sfr: 0.0754 (0.0752) loss_cl: -0.3676 (-0.3677) time: 0.8631 data: 0.0002 max mem: 29859 [15:44:26.448315] Epoch: [294] [ 60/850] eta: 0:12:08 lr: 0.001797 loss: 0.0152 (0.0161) loss_rec_all: 0.0514 (0.0523) loss_rec_sfr: 0.0751 (0.0757) loss_cl: -0.3671 (-0.3676) time: 0.8613 data: 0.0002 max mem: 29859 [15:44:43.711366] Epoch: [294] [ 80/850] eta: 0:11:38 lr: 0.001797 loss: 0.0154 (0.0163) loss_rec_all: 0.0517 (0.0525) loss_rec_sfr: 0.0568 (0.0736) loss_cl: -0.3672 (-0.3675) time: 0.8631 data: 0.0002 max mem: 29859 [15:45:00.973365] Epoch: [294] [100/850] eta: 0:11:13 lr: 0.001797 loss: 0.0156 (0.0162) loss_rec_all: 0.0518 (0.0525) loss_rec_sfr: 0.0578 (0.0728) loss_cl: -0.3667 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [15:45:18.256445] Epoch: [294] [120/850] eta: 0:10:51 lr: 0.001797 loss: 0.0152 (0.0161) loss_rec_all: 0.0513 (0.0523) loss_rec_sfr: 0.0582 (0.0714) loss_cl: -0.3664 (-0.3672) time: 0.8641 data: 0.0002 max mem: 29859 [15:45:35.506966] Epoch: [294] [140/850] eta: 0:10:30 lr: 0.001796 loss: 0.0185 (0.0165) loss_rec_all: 0.0545 (0.0526) loss_rec_sfr: 0.0937 (0.0755) loss_cl: -0.3674 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [15:45:52.780187] Epoch: [294] [160/850] eta: 0:10:10 lr: 0.001796 loss: 0.0170 (0.0167) loss_rec_all: 0.0534 (0.0528) loss_rec_sfr: 0.0830 (0.0768) loss_cl: -0.3676 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [15:46:10.030826] Epoch: [294] [180/850] eta: 0:09:51 lr: 0.001796 loss: 0.0173 (0.0168) loss_rec_all: 0.0538 (0.0530) loss_rec_sfr: 0.0795 (0.0775) loss_cl: -0.3684 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [15:46:27.329731] Epoch: [294] [200/850] eta: 0:09:32 lr: 0.001796 loss: 0.0164 (0.0169) loss_rec_all: 0.0528 (0.0531) loss_rec_sfr: 0.0519 (0.0774) loss_cl: -0.3681 (-0.3675) time: 0.8649 data: 0.0002 max mem: 29859 [15:46:44.569527] Epoch: [294] [220/850] eta: 0:09:14 lr: 0.001796 loss: 0.0165 (0.0169) loss_rec_all: 0.0526 (0.0531) loss_rec_sfr: 0.0789 (0.0777) loss_cl: -0.3674 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [15:47:01.855863] Epoch: [294] [240/850] eta: 0:08:55 lr: 0.001796 loss: 0.0170 (0.0169) loss_rec_all: 0.0531 (0.0531) loss_rec_sfr: 0.0781 (0.0782) loss_cl: -0.3667 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [15:47:19.107903] Epoch: [294] [260/850] eta: 0:08:37 lr: 0.001796 loss: 0.0158 (0.0169) loss_rec_all: 0.0521 (0.0531) loss_rec_sfr: 0.0581 (0.0780) loss_cl: -0.3664 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [15:47:36.382792] Epoch: [294] [280/850] eta: 0:08:19 lr: 0.001796 loss: 0.0153 (0.0168) loss_rec_all: 0.0516 (0.0530) loss_rec_sfr: 0.0588 (0.0775) loss_cl: -0.3664 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [15:47:53.604250] Epoch: [294] [300/850] eta: 0:08:01 lr: 0.001796 loss: 0.0152 (0.0168) loss_rec_all: 0.0514 (0.0530) loss_rec_sfr: 0.0597 (0.0774) loss_cl: -0.3671 (-0.3672) time: 0.8610 data: 0.0002 max mem: 29859 [15:48:10.877697] Epoch: [294] [320/850] eta: 0:07:43 lr: 0.001796 loss: 0.0149 (0.0167) loss_rec_all: 0.0513 (0.0529) loss_rec_sfr: 0.0527 (0.0769) loss_cl: -0.3678 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [15:48:28.114319] Epoch: [294] [340/850] eta: 0:07:25 lr: 0.001795 loss: 0.0149 (0.0167) loss_rec_all: 0.0513 (0.0529) loss_rec_sfr: 0.0733 (0.0767) loss_cl: -0.3680 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [15:48:45.420043] Epoch: [294] [360/850] eta: 0:07:07 lr: 0.001795 loss: 0.0152 (0.0166) loss_rec_all: 0.0517 (0.0528) loss_rec_sfr: 0.0825 (0.0769) loss_cl: -0.3686 (-0.3674) time: 0.8652 data: 0.0002 max mem: 29859 [15:49:02.661202] Epoch: [294] [380/850] eta: 0:06:50 lr: 0.001795 loss: 0.0162 (0.0166) loss_rec_all: 0.0525 (0.0528) loss_rec_sfr: 0.0775 (0.0769) loss_cl: -0.3685 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [15:49:19.937260] Epoch: [294] [400/850] eta: 0:06:32 lr: 0.001795 loss: 0.0159 (0.0166) loss_rec_all: 0.0521 (0.0528) loss_rec_sfr: 0.0768 (0.0769) loss_cl: -0.3677 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [15:49:37.174297] Epoch: [294] [420/850] eta: 0:06:14 lr: 0.001795 loss: 0.0155 (0.0166) loss_rec_all: 0.0519 (0.0528) loss_rec_sfr: 0.0549 (0.0765) loss_cl: -0.3669 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [15:49:54.466629] Epoch: [294] [440/850] eta: 0:05:57 lr: 0.001795 loss: 0.0164 (0.0166) loss_rec_all: 0.0523 (0.0528) loss_rec_sfr: 0.0807 (0.0768) loss_cl: -0.3667 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [15:50:11.715553] Epoch: [294] [460/850] eta: 0:05:39 lr: 0.001795 loss: 0.0170 (0.0167) loss_rec_all: 0.0531 (0.0529) loss_rec_sfr: 0.0783 (0.0768) loss_cl: -0.3663 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [15:50:29.003426] Epoch: [294] [480/850] eta: 0:05:22 lr: 0.001795 loss: 0.0170 (0.0167) loss_rec_all: 0.0530 (0.0529) loss_rec_sfr: 0.0888 (0.0771) loss_cl: -0.3664 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [15:50:46.245326] Epoch: [294] [500/850] eta: 0:05:04 lr: 0.001795 loss: 0.0163 (0.0167) loss_rec_all: 0.0525 (0.0529) loss_rec_sfr: 0.0570 (0.0766) loss_cl: -0.3671 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [15:51:03.512477] Epoch: [294] [520/850] eta: 0:04:47 lr: 0.001794 loss: 0.0162 (0.0167) loss_rec_all: 0.0522 (0.0529) loss_rec_sfr: 0.0743 (0.0767) loss_cl: -0.3675 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [15:51:20.753638] Epoch: [294] [540/850] eta: 0:04:29 lr: 0.001794 loss: 0.0181 (0.0168) loss_rec_all: 0.0544 (0.0530) loss_rec_sfr: 0.0777 (0.0769) loss_cl: -0.3680 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [15:51:38.034306] Epoch: [294] [560/850] eta: 0:04:12 lr: 0.001794 loss: 0.0195 (0.0169) loss_rec_all: 0.0555 (0.0531) loss_rec_sfr: 0.0915 (0.0774) loss_cl: -0.3675 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [15:51:55.282328] Epoch: [294] [580/850] eta: 0:03:54 lr: 0.001794 loss: 0.0171 (0.0169) loss_rec_all: 0.0533 (0.0531) loss_rec_sfr: 0.0618 (0.0774) loss_cl: -0.3672 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [15:52:12.561163] Epoch: [294] [600/850] eta: 0:03:37 lr: 0.001794 loss: 0.0174 (0.0170) loss_rec_all: 0.0537 (0.0532) loss_rec_sfr: 0.0560 (0.0772) loss_cl: -0.3669 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [15:52:29.798991] Epoch: [294] [620/850] eta: 0:03:19 lr: 0.001794 loss: 0.0161 (0.0170) loss_rec_all: 0.0523 (0.0532) loss_rec_sfr: 0.0571 (0.0769) loss_cl: -0.3667 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [15:52:47.076971] Epoch: [294] [640/850] eta: 0:03:02 lr: 0.001794 loss: 0.0161 (0.0170) loss_rec_all: 0.0522 (0.0532) loss_rec_sfr: 0.0768 (0.0770) loss_cl: -0.3674 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [15:53:04.328553] Epoch: [294] [660/850] eta: 0:02:45 lr: 0.001794 loss: 0.0154 (0.0170) loss_rec_all: 0.0516 (0.0532) loss_rec_sfr: 0.0623 (0.0768) loss_cl: -0.3676 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [15:53:21.614737] Epoch: [294] [680/850] eta: 0:02:27 lr: 0.001794 loss: 0.0153 (0.0170) loss_rec_all: 0.0517 (0.0531) loss_rec_sfr: 0.0738 (0.0767) loss_cl: -0.3673 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [15:53:38.855024] Epoch: [294] [700/850] eta: 0:02:10 lr: 0.001794 loss: 0.0163 (0.0169) loss_rec_all: 0.0527 (0.0531) loss_rec_sfr: 0.0585 (0.0766) loss_cl: -0.3671 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [15:53:56.127161] Epoch: [294] [720/850] eta: 0:01:52 lr: 0.001793 loss: 0.0154 (0.0169) loss_rec_all: 0.0517 (0.0531) loss_rec_sfr: 0.0745 (0.0766) loss_cl: -0.3678 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [15:54:13.381468] Epoch: [294] [740/850] eta: 0:01:35 lr: 0.001793 loss: 0.0148 (0.0169) loss_rec_all: 0.0511 (0.0531) loss_rec_sfr: 0.0740 (0.0765) loss_cl: -0.3682 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [15:54:30.685098] Epoch: [294] [760/850] eta: 0:01:18 lr: 0.001793 loss: 0.0147 (0.0169) loss_rec_all: 0.0512 (0.0531) loss_rec_sfr: 0.0562 (0.0764) loss_cl: -0.3683 (-0.3674) time: 0.8651 data: 0.0002 max mem: 29859 [15:54:47.929958] Epoch: [294] [780/850] eta: 0:01:00 lr: 0.001793 loss: 0.0165 (0.0169) loss_rec_all: 0.0527 (0.0531) loss_rec_sfr: 0.0582 (0.0763) loss_cl: -0.3677 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [15:55:05.217535] Epoch: [294] [800/850] eta: 0:00:43 lr: 0.001793 loss: 0.0166 (0.0169) loss_rec_all: 0.0529 (0.0531) loss_rec_sfr: 0.0755 (0.0763) loss_cl: -0.3673 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [15:55:22.479533] Epoch: [294] [820/850] eta: 0:00:26 lr: 0.001793 loss: 0.0174 (0.0169) loss_rec_all: 0.0534 (0.0531) loss_rec_sfr: 0.0587 (0.0762) loss_cl: -0.3671 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [15:55:39.777523] Epoch: [294] [840/850] eta: 0:00:08 lr: 0.001793 loss: 0.0170 (0.0169) loss_rec_all: 0.0533 (0.0531) loss_rec_sfr: 0.0755 (0.0763) loss_cl: -0.3669 (-0.3674) time: 0.8649 data: 0.0006 max mem: 29859 [15:55:47.536891] Epoch: [294] [849/850] eta: 0:00:00 lr: 0.001793 loss: 0.0178 (0.0169) loss_rec_all: 0.0537 (0.0531) loss_rec_sfr: 0.0923 (0.0764) loss_cl: -0.3669 (-0.3673) time: 0.8645 data: 0.0005 max mem: 29859 [15:55:47.658797] Epoch: [294] Total time: 0:12:17 (0.8676 s / it) [15:55:47.663289] Averaged stats: lr: 0.001793 loss: 0.0178 (0.0168) loss_rec_all: 0.0537 (0.0530) loss_rec_sfr: 0.0923 (0.0750) loss_cl: -0.3669 (-0.3673) [15:55:47.675216] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [15:55:52.665846] Epoch: [295] [ 0/850] eta: 1:10:41 lr: 0.001793 loss: 0.0184 (0.0184) loss_rec_all: 0.0542 (0.0542) loss_rec_sfr: 0.1186 (0.1186) loss_cl: -0.3663 (-0.3663) time: 4.9896 data: 3.7214 max mem: 29859 [15:56:09.887175] Epoch: [295] [ 20/850] eta: 0:14:37 lr: 0.001793 loss: 0.0163 (0.0174) loss_rec_all: 0.0523 (0.0534) loss_rec_sfr: 0.0924 (0.0875) loss_cl: -0.3665 (-0.3665) time: 0.8610 data: 0.0003 max mem: 29859 [15:56:27.169041] Epoch: [295] [ 40/850] eta: 0:13:00 lr: 0.001793 loss: 0.0154 (0.0165) loss_rec_all: 0.0517 (0.0526) loss_rec_sfr: 0.0540 (0.0795) loss_cl: -0.3662 (-0.3664) time: 0.8640 data: 0.0002 max mem: 29859 [15:56:44.421868] Epoch: [295] [ 60/850] eta: 0:12:14 lr: 0.001793 loss: 0.0157 (0.0162) loss_rec_all: 0.0518 (0.0523) loss_rec_sfr: 0.0714 (0.0781) loss_cl: -0.3665 (-0.3664) time: 0.8626 data: 0.0003 max mem: 29859 [15:57:01.712082] Epoch: [295] [ 80/850] eta: 0:11:43 lr: 0.001792 loss: 0.0153 (0.0161) loss_rec_all: 0.0513 (0.0522) loss_rec_sfr: 0.0592 (0.0776) loss_cl: -0.3667 (-0.3665) time: 0.8645 data: 0.0002 max mem: 29859 [15:57:18.970008] Epoch: [295] [100/850] eta: 0:11:17 lr: 0.001792 loss: 0.0163 (0.0164) loss_rec_all: 0.0527 (0.0525) loss_rec_sfr: 0.0758 (0.0778) loss_cl: -0.3675 (-0.3666) time: 0.8628 data: 0.0002 max mem: 29859 [15:57:36.277827] Epoch: [295] [120/850] eta: 0:10:55 lr: 0.001792 loss: 0.0171 (0.0168) loss_rec_all: 0.0535 (0.0529) loss_rec_sfr: 0.0620 (0.0770) loss_cl: -0.3682 (-0.3669) time: 0.8653 data: 0.0002 max mem: 29859 [15:57:53.532534] Epoch: [295] [140/850] eta: 0:10:33 lr: 0.001792 loss: 0.0179 (0.0170) loss_rec_all: 0.0540 (0.0532) loss_rec_sfr: 0.0683 (0.0771) loss_cl: -0.3689 (-0.3672) time: 0.8627 data: 0.0003 max mem: 29859 [15:58:10.828177] Epoch: [295] [160/850] eta: 0:10:13 lr: 0.001792 loss: 0.0171 (0.0171) loss_rec_all: 0.0532 (0.0533) loss_rec_sfr: 0.0584 (0.0771) loss_cl: -0.3683 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [15:58:28.072011] Epoch: [295] [180/850] eta: 0:09:53 lr: 0.001792 loss: 0.0189 (0.0173) loss_rec_all: 0.0551 (0.0535) loss_rec_sfr: 0.0920 (0.0784) loss_cl: -0.3676 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [15:58:45.375293] Epoch: [295] [200/850] eta: 0:09:34 lr: 0.001792 loss: 0.0168 (0.0174) loss_rec_all: 0.0530 (0.0535) loss_rec_sfr: 0.0859 (0.0787) loss_cl: -0.3668 (-0.3673) time: 0.8651 data: 0.0003 max mem: 29859 [15:59:02.611055] Epoch: [295] [220/850] eta: 0:09:15 lr: 0.001792 loss: 0.0171 (0.0175) loss_rec_all: 0.0534 (0.0536) loss_rec_sfr: 0.0631 (0.0789) loss_cl: -0.3662 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [15:59:19.918203] Epoch: [295] [240/850] eta: 0:08:57 lr: 0.001792 loss: 0.0159 (0.0174) loss_rec_all: 0.0522 (0.0536) loss_rec_sfr: 0.0542 (0.0780) loss_cl: -0.3670 (-0.3671) time: 0.8653 data: 0.0003 max mem: 29859 [15:59:37.164410] Epoch: [295] [260/850] eta: 0:08:38 lr: 0.001792 loss: 0.0175 (0.0174) loss_rec_all: 0.0537 (0.0536) loss_rec_sfr: 0.0749 (0.0777) loss_cl: -0.3676 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [15:59:54.473590] Epoch: [295] [280/850] eta: 0:08:20 lr: 0.001791 loss: 0.0169 (0.0175) loss_rec_all: 0.0533 (0.0536) loss_rec_sfr: 0.0551 (0.0771) loss_cl: -0.3681 (-0.3672) time: 0.8654 data: 0.0003 max mem: 29859 [16:00:11.744942] Epoch: [295] [300/850] eta: 0:08:02 lr: 0.001791 loss: 0.0170 (0.0175) loss_rec_all: 0.0530 (0.0536) loss_rec_sfr: 0.0674 (0.0772) loss_cl: -0.3674 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [16:00:29.034777] Epoch: [295] [320/850] eta: 0:07:44 lr: 0.001791 loss: 0.0175 (0.0175) loss_rec_all: 0.0537 (0.0537) loss_rec_sfr: 0.1041 (0.0784) loss_cl: -0.3673 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [16:00:46.285476] Epoch: [295] [340/850] eta: 0:07:26 lr: 0.001791 loss: 0.0167 (0.0175) loss_rec_all: 0.0531 (0.0537) loss_rec_sfr: 0.0710 (0.0784) loss_cl: -0.3668 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [16:01:03.569441] Epoch: [295] [360/850] eta: 0:07:08 lr: 0.001791 loss: 0.0178 (0.0176) loss_rec_all: 0.0540 (0.0537) loss_rec_sfr: 0.0669 (0.0781) loss_cl: -0.3668 (-0.3672) time: 0.8642 data: 0.0002 max mem: 29859 [16:01:20.811603] Epoch: [295] [380/850] eta: 0:06:50 lr: 0.001791 loss: 0.0163 (0.0175) loss_rec_all: 0.0524 (0.0537) loss_rec_sfr: 0.0735 (0.0777) loss_cl: -0.3670 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [16:01:38.119362] Epoch: [295] [400/850] eta: 0:06:33 lr: 0.001791 loss: 0.0167 (0.0175) loss_rec_all: 0.0529 (0.0537) loss_rec_sfr: 0.0787 (0.0777) loss_cl: -0.3671 (-0.3672) time: 0.8653 data: 0.0003 max mem: 29859 [16:01:55.394494] Epoch: [295] [420/850] eta: 0:06:15 lr: 0.001791 loss: 0.0160 (0.0175) loss_rec_all: 0.0520 (0.0536) loss_rec_sfr: 0.0766 (0.0775) loss_cl: -0.3674 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [16:02:12.732129] Epoch: [295] [440/850] eta: 0:05:57 lr: 0.001791 loss: 0.0157 (0.0174) loss_rec_all: 0.0521 (0.0536) loss_rec_sfr: 0.0593 (0.0771) loss_cl: -0.3678 (-0.3672) time: 0.8668 data: 0.0003 max mem: 29859 [16:02:29.978116] Epoch: [295] [460/850] eta: 0:05:40 lr: 0.001791 loss: 0.0173 (0.0174) loss_rec_all: 0.0533 (0.0536) loss_rec_sfr: 0.0791 (0.0773) loss_cl: -0.3673 (-0.3672) time: 0.8622 data: 0.0003 max mem: 29859 [16:02:47.253487] Epoch: [295] [480/850] eta: 0:05:22 lr: 0.001790 loss: 0.0161 (0.0174) loss_rec_all: 0.0521 (0.0536) loss_rec_sfr: 0.0601 (0.0772) loss_cl: -0.3673 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [16:03:04.492134] Epoch: [295] [500/850] eta: 0:05:05 lr: 0.001790 loss: 0.0157 (0.0174) loss_rec_all: 0.0520 (0.0535) loss_rec_sfr: 0.0552 (0.0767) loss_cl: -0.3674 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [16:03:21.775340] Epoch: [295] [520/850] eta: 0:04:47 lr: 0.001790 loss: 0.0179 (0.0174) loss_rec_all: 0.0539 (0.0536) loss_rec_sfr: 0.0785 (0.0767) loss_cl: -0.3674 (-0.3672) time: 0.8641 data: 0.0003 max mem: 29859 [16:03:39.013420] Epoch: [295] [540/850] eta: 0:04:30 lr: 0.001790 loss: 0.0153 (0.0173) loss_rec_all: 0.0514 (0.0535) loss_rec_sfr: 0.0558 (0.0764) loss_cl: -0.3671 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [16:03:56.304415] Epoch: [295] [560/850] eta: 0:04:12 lr: 0.001790 loss: 0.0159 (0.0173) loss_rec_all: 0.0520 (0.0535) loss_rec_sfr: 0.0767 (0.0764) loss_cl: -0.3673 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [16:04:13.571917] Epoch: [295] [580/850] eta: 0:03:55 lr: 0.001790 loss: 0.0162 (0.0173) loss_rec_all: 0.0522 (0.0535) loss_rec_sfr: 0.0728 (0.0764) loss_cl: -0.3673 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [16:04:30.869182] Epoch: [295] [600/850] eta: 0:03:37 lr: 0.001790 loss: 0.0146 (0.0172) loss_rec_all: 0.0510 (0.0534) loss_rec_sfr: 0.0577 (0.0764) loss_cl: -0.3677 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [16:04:48.114724] Epoch: [295] [620/850] eta: 0:03:20 lr: 0.001790 loss: 0.0149 (0.0171) loss_rec_all: 0.0509 (0.0533) loss_rec_sfr: 0.0534 (0.0759) loss_cl: -0.3677 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [16:05:05.409813] Epoch: [295] [640/850] eta: 0:03:02 lr: 0.001790 loss: 0.0173 (0.0171) loss_rec_all: 0.0535 (0.0533) loss_rec_sfr: 0.0755 (0.0760) loss_cl: -0.3672 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [16:05:22.661104] Epoch: [295] [660/850] eta: 0:02:45 lr: 0.001789 loss: 0.0155 (0.0171) loss_rec_all: 0.0518 (0.0533) loss_rec_sfr: 0.0607 (0.0760) loss_cl: -0.3669 (-0.3673) time: 0.8625 data: 0.0003 max mem: 29859 [16:05:39.945253] Epoch: [295] [680/850] eta: 0:02:27 lr: 0.001789 loss: 0.0156 (0.0171) loss_rec_all: 0.0517 (0.0533) loss_rec_sfr: 0.0791 (0.0761) loss_cl: -0.3666 (-0.3672) time: 0.8641 data: 0.0002 max mem: 29859 [16:05:57.184513] Epoch: [295] [700/850] eta: 0:02:10 lr: 0.001789 loss: 0.0155 (0.0171) loss_rec_all: 0.0517 (0.0532) loss_rec_sfr: 0.0575 (0.0760) loss_cl: -0.3669 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [16:06:14.459927] Epoch: [295] [720/850] eta: 0:01:53 lr: 0.001789 loss: 0.0158 (0.0170) loss_rec_all: 0.0520 (0.0532) loss_rec_sfr: 0.0742 (0.0759) loss_cl: -0.3673 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [16:06:31.691713] Epoch: [295] [740/850] eta: 0:01:35 lr: 0.001789 loss: 0.0148 (0.0170) loss_rec_all: 0.0512 (0.0532) loss_rec_sfr: 0.0559 (0.0757) loss_cl: -0.3677 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [16:06:48.979195] Epoch: [295] [760/850] eta: 0:01:18 lr: 0.001789 loss: 0.0171 (0.0170) loss_rec_all: 0.0533 (0.0532) loss_rec_sfr: 0.0741 (0.0757) loss_cl: -0.3681 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [16:07:06.226350] Epoch: [295] [780/850] eta: 0:01:00 lr: 0.001789 loss: 0.0156 (0.0170) loss_rec_all: 0.0520 (0.0532) loss_rec_sfr: 0.0564 (0.0755) loss_cl: -0.3683 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [16:07:23.482038] Epoch: [295] [800/850] eta: 0:00:43 lr: 0.001789 loss: 0.0167 (0.0170) loss_rec_all: 0.0531 (0.0532) loss_rec_sfr: 0.0618 (0.0756) loss_cl: -0.3676 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [16:07:40.701294] Epoch: [295] [820/850] eta: 0:00:26 lr: 0.001789 loss: 0.0194 (0.0171) loss_rec_all: 0.0558 (0.0533) loss_rec_sfr: 0.0854 (0.0758) loss_cl: -0.3674 (-0.3673) time: 0.8609 data: 0.0002 max mem: 29859 [16:07:57.952896] Epoch: [295] [840/850] eta: 0:00:08 lr: 0.001789 loss: 0.0182 (0.0172) loss_rec_all: 0.0542 (0.0534) loss_rec_sfr: 0.0691 (0.0758) loss_cl: -0.3672 (-0.3673) time: 0.8625 data: 0.0005 max mem: 29859 [16:08:05.710338] Epoch: [295] [849/850] eta: 0:00:00 lr: 0.001789 loss: 0.0174 (0.0172) loss_rec_all: 0.0537 (0.0534) loss_rec_sfr: 0.0599 (0.0758) loss_cl: -0.3672 (-0.3673) time: 0.8632 data: 0.0005 max mem: 29859 [16:08:05.844066] Epoch: [295] Total time: 0:12:18 (0.8684 s / it) [16:08:05.845243] Averaged stats: lr: 0.001789 loss: 0.0174 (0.0172) loss_rec_all: 0.0537 (0.0534) loss_rec_sfr: 0.0599 (0.0758) loss_cl: -0.3672 (-0.3673) [16:08:05.854096] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [16:08:11.490581] Epoch: [296] [ 0/850] eta: 1:19:50 lr: 0.001789 loss: 0.0192 (0.0192) loss_rec_all: 0.0552 (0.0552) loss_rec_sfr: 0.1163 (0.1163) loss_cl: -0.3677 (-0.3677) time: 5.6354 data: 3.9420 max mem: 29859 [16:08:28.693580] Epoch: [296] [ 20/850] eta: 0:15:02 lr: 0.001788 loss: 0.0176 (0.0178) loss_rec_all: 0.0537 (0.0540) loss_rec_sfr: 0.0827 (0.0821) loss_cl: -0.3674 (-0.3674) time: 0.8601 data: 0.0003 max mem: 29859 [16:08:45.949819] Epoch: [296] [ 40/850] eta: 0:13:12 lr: 0.001788 loss: 0.0175 (0.0178) loss_rec_all: 0.0535 (0.0540) loss_rec_sfr: 0.0579 (0.0814) loss_cl: -0.3672 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [16:09:03.196549] Epoch: [296] [ 60/850] eta: 0:12:22 lr: 0.001788 loss: 0.0162 (0.0176) loss_rec_all: 0.0525 (0.0538) loss_rec_sfr: 0.0541 (0.0770) loss_cl: -0.3666 (-0.3671) time: 0.8623 data: 0.0003 max mem: 29859 [16:09:20.462598] Epoch: [296] [ 80/850] eta: 0:11:49 lr: 0.001788 loss: 0.0165 (0.0173) loss_rec_all: 0.0526 (0.0535) loss_rec_sfr: 0.0743 (0.0777) loss_cl: -0.3668 (-0.3670) time: 0.8633 data: 0.0002 max mem: 29859 [16:09:37.699499] Epoch: [296] [100/850] eta: 0:11:21 lr: 0.001788 loss: 0.0155 (0.0170) loss_rec_all: 0.0518 (0.0531) loss_rec_sfr: 0.0556 (0.0763) loss_cl: -0.3668 (-0.3669) time: 0.8618 data: 0.0002 max mem: 29859 [16:09:54.970166] Epoch: [296] [120/850] eta: 0:10:58 lr: 0.001788 loss: 0.0167 (0.0170) loss_rec_all: 0.0526 (0.0532) loss_rec_sfr: 0.0748 (0.0766) loss_cl: -0.3673 (-0.3670) time: 0.8635 data: 0.0003 max mem: 29859 [16:10:12.207779] Epoch: [296] [140/850] eta: 0:10:36 lr: 0.001788 loss: 0.0155 (0.0169) loss_rec_all: 0.0518 (0.0530) loss_rec_sfr: 0.0740 (0.0764) loss_cl: -0.3674 (-0.3670) time: 0.8618 data: 0.0002 max mem: 29859 [16:10:29.501505] Epoch: [296] [160/850] eta: 0:10:15 lr: 0.001788 loss: 0.0165 (0.0169) loss_rec_all: 0.0526 (0.0531) loss_rec_sfr: 0.0744 (0.0770) loss_cl: -0.3673 (-0.3670) time: 0.8646 data: 0.0003 max mem: 29859 [16:10:46.758526] Epoch: [296] [180/850] eta: 0:09:55 lr: 0.001788 loss: 0.0155 (0.0168) loss_rec_all: 0.0518 (0.0529) loss_rec_sfr: 0.0549 (0.0764) loss_cl: -0.3672 (-0.3670) time: 0.8628 data: 0.0003 max mem: 29859 [16:11:04.044186] Epoch: [296] [200/850] eta: 0:09:36 lr: 0.001787 loss: 0.0159 (0.0167) loss_rec_all: 0.0520 (0.0529) loss_rec_sfr: 0.0763 (0.0766) loss_cl: -0.3675 (-0.3671) time: 0.8642 data: 0.0003 max mem: 29859 [16:11:21.302007] Epoch: [296] [220/850] eta: 0:09:17 lr: 0.001787 loss: 0.0153 (0.0167) loss_rec_all: 0.0517 (0.0528) loss_rec_sfr: 0.0652 (0.0766) loss_cl: -0.3677 (-0.3671) time: 0.8628 data: 0.0003 max mem: 29859 [16:11:38.576676] Epoch: [296] [240/850] eta: 0:08:58 lr: 0.001787 loss: 0.0152 (0.0166) loss_rec_all: 0.0514 (0.0527) loss_rec_sfr: 0.0612 (0.0762) loss_cl: -0.3680 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [16:11:55.834578] Epoch: [296] [260/850] eta: 0:08:39 lr: 0.001787 loss: 0.0149 (0.0165) loss_rec_all: 0.0513 (0.0527) loss_rec_sfr: 0.0588 (0.0758) loss_cl: -0.3677 (-0.3672) time: 0.8628 data: 0.0003 max mem: 29859 [16:12:13.120230] Epoch: [296] [280/850] eta: 0:08:21 lr: 0.001787 loss: 0.0149 (0.0165) loss_rec_all: 0.0513 (0.0526) loss_rec_sfr: 0.0618 (0.0754) loss_cl: -0.3673 (-0.3672) time: 0.8642 data: 0.0002 max mem: 29859 [16:12:30.384148] Epoch: [296] [300/850] eta: 0:08:03 lr: 0.001787 loss: 0.0157 (0.0165) loss_rec_all: 0.0519 (0.0526) loss_rec_sfr: 0.0731 (0.0755) loss_cl: -0.3668 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [16:12:47.660705] Epoch: [296] [320/850] eta: 0:07:45 lr: 0.001787 loss: 0.0158 (0.0165) loss_rec_all: 0.0519 (0.0527) loss_rec_sfr: 0.0593 (0.0750) loss_cl: -0.3675 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [16:13:04.906519] Epoch: [296] [340/850] eta: 0:07:27 lr: 0.001787 loss: 0.0178 (0.0166) loss_rec_all: 0.0540 (0.0528) loss_rec_sfr: 0.0606 (0.0751) loss_cl: -0.3679 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [16:13:22.213453] Epoch: [296] [360/850] eta: 0:07:09 lr: 0.001787 loss: 0.0182 (0.0167) loss_rec_all: 0.0545 (0.0529) loss_rec_sfr: 0.0570 (0.0748) loss_cl: -0.3678 (-0.3673) time: 0.8652 data: 0.0002 max mem: 29859 [16:13:39.482609] Epoch: [296] [380/850] eta: 0:06:51 lr: 0.001787 loss: 0.0169 (0.0167) loss_rec_all: 0.0532 (0.0529) loss_rec_sfr: 0.0582 (0.0746) loss_cl: -0.3674 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [16:13:56.776270] Epoch: [296] [400/850] eta: 0:06:33 lr: 0.001786 loss: 0.0145 (0.0167) loss_rec_all: 0.0509 (0.0529) loss_rec_sfr: 0.0518 (0.0742) loss_cl: -0.3670 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [16:14:14.017235] Epoch: [296] [420/850] eta: 0:06:16 lr: 0.001786 loss: 0.0154 (0.0167) loss_rec_all: 0.0517 (0.0529) loss_rec_sfr: 0.0604 (0.0742) loss_cl: -0.3667 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [16:14:31.342428] Epoch: [296] [440/850] eta: 0:05:58 lr: 0.001786 loss: 0.0164 (0.0167) loss_rec_all: 0.0522 (0.0529) loss_rec_sfr: 0.0773 (0.0743) loss_cl: -0.3667 (-0.3672) time: 0.8662 data: 0.0003 max mem: 29859 [16:14:48.603041] Epoch: [296] [460/850] eta: 0:05:40 lr: 0.001786 loss: 0.0160 (0.0167) loss_rec_all: 0.0520 (0.0529) loss_rec_sfr: 0.0587 (0.0743) loss_cl: -0.3670 (-0.3672) time: 0.8630 data: 0.0003 max mem: 29859 [16:15:05.893228] Epoch: [296] [480/850] eta: 0:05:23 lr: 0.001786 loss: 0.0151 (0.0167) loss_rec_all: 0.0516 (0.0529) loss_rec_sfr: 0.0602 (0.0742) loss_cl: -0.3675 (-0.3672) time: 0.8645 data: 0.0002 max mem: 29859 [16:15:23.144816] Epoch: [296] [500/850] eta: 0:05:05 lr: 0.001786 loss: 0.0162 (0.0167) loss_rec_all: 0.0522 (0.0529) loss_rec_sfr: 0.0760 (0.0744) loss_cl: -0.3676 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [16:15:40.432371] Epoch: [296] [520/850] eta: 0:04:47 lr: 0.001786 loss: 0.0157 (0.0167) loss_rec_all: 0.0521 (0.0529) loss_rec_sfr: 0.0705 (0.0746) loss_cl: -0.3673 (-0.3672) time: 0.8643 data: 0.0002 max mem: 29859 [16:15:57.683273] Epoch: [296] [540/850] eta: 0:04:30 lr: 0.001786 loss: 0.0167 (0.0167) loss_rec_all: 0.0528 (0.0529) loss_rec_sfr: 0.0567 (0.0746) loss_cl: -0.3673 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [16:16:14.967875] Epoch: [296] [560/850] eta: 0:04:12 lr: 0.001786 loss: 0.0150 (0.0166) loss_rec_all: 0.0512 (0.0528) loss_rec_sfr: 0.0534 (0.0743) loss_cl: -0.3669 (-0.3672) time: 0.8642 data: 0.0002 max mem: 29859 [16:16:32.215118] Epoch: [296] [580/850] eta: 0:03:55 lr: 0.001786 loss: 0.0163 (0.0166) loss_rec_all: 0.0525 (0.0528) loss_rec_sfr: 0.0551 (0.0740) loss_cl: -0.3664 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [16:16:49.513341] Epoch: [296] [600/850] eta: 0:03:37 lr: 0.001785 loss: 0.0155 (0.0166) loss_rec_all: 0.0517 (0.0528) loss_rec_sfr: 0.0544 (0.0737) loss_cl: -0.3674 (-0.3672) time: 0.8648 data: 0.0003 max mem: 29859 [16:17:06.770416] Epoch: [296] [620/850] eta: 0:03:20 lr: 0.001785 loss: 0.0176 (0.0167) loss_rec_all: 0.0537 (0.0529) loss_rec_sfr: 0.0801 (0.0738) loss_cl: -0.3678 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [16:17:24.057429] Epoch: [296] [640/850] eta: 0:03:02 lr: 0.001785 loss: 0.0165 (0.0167) loss_rec_all: 0.0526 (0.0529) loss_rec_sfr: 0.0755 (0.0739) loss_cl: -0.3673 (-0.3672) time: 0.8643 data: 0.0002 max mem: 29859 [16:17:41.294272] Epoch: [296] [660/850] eta: 0:02:45 lr: 0.001785 loss: 0.0163 (0.0167) loss_rec_all: 0.0527 (0.0529) loss_rec_sfr: 0.0739 (0.0739) loss_cl: -0.3675 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [16:17:58.567019] Epoch: [296] [680/850] eta: 0:02:27 lr: 0.001785 loss: 0.0173 (0.0167) loss_rec_all: 0.0533 (0.0529) loss_rec_sfr: 0.0756 (0.0740) loss_cl: -0.3679 (-0.3672) time: 0.8636 data: 0.0002 max mem: 29859 [16:18:15.812132] Epoch: [296] [700/850] eta: 0:02:10 lr: 0.001785 loss: 0.0157 (0.0167) loss_rec_all: 0.0519 (0.0529) loss_rec_sfr: 0.0592 (0.0739) loss_cl: -0.3679 (-0.3673) time: 0.8622 data: 0.0003 max mem: 29859 [16:18:33.088098] Epoch: [296] [720/850] eta: 0:01:53 lr: 0.001785 loss: 0.0162 (0.0167) loss_rec_all: 0.0524 (0.0529) loss_rec_sfr: 0.0756 (0.0739) loss_cl: -0.3676 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [16:18:50.308891] Epoch: [296] [740/850] eta: 0:01:35 lr: 0.001785 loss: 0.0150 (0.0167) loss_rec_all: 0.0514 (0.0529) loss_rec_sfr: 0.0523 (0.0737) loss_cl: -0.3676 (-0.3673) time: 0.8610 data: 0.0002 max mem: 29859 [16:19:07.564940] Epoch: [296] [760/850] eta: 0:01:18 lr: 0.001785 loss: 0.0166 (0.0167) loss_rec_all: 0.0527 (0.0529) loss_rec_sfr: 0.0753 (0.0739) loss_cl: -0.3679 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [16:19:24.784919] Epoch: [296] [780/850] eta: 0:01:00 lr: 0.001785 loss: 0.0165 (0.0167) loss_rec_all: 0.0529 (0.0529) loss_rec_sfr: 0.0748 (0.0739) loss_cl: -0.3673 (-0.3673) time: 0.8609 data: 0.0002 max mem: 29859 [16:19:42.036838] Epoch: [296] [800/850] eta: 0:00:43 lr: 0.001784 loss: 0.0178 (0.0167) loss_rec_all: 0.0538 (0.0529) loss_rec_sfr: 0.0770 (0.0741) loss_cl: -0.3666 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [16:19:59.253844] Epoch: [296] [820/850] eta: 0:00:26 lr: 0.001784 loss: 0.0175 (0.0167) loss_rec_all: 0.0537 (0.0529) loss_rec_sfr: 0.0618 (0.0741) loss_cl: -0.3672 (-0.3673) time: 0.8608 data: 0.0002 max mem: 29859 [16:20:16.523623] Epoch: [296] [840/850] eta: 0:00:08 lr: 0.001784 loss: 0.0160 (0.0168) loss_rec_all: 0.0524 (0.0530) loss_rec_sfr: 0.0579 (0.0740) loss_cl: -0.3680 (-0.3673) time: 0.8634 data: 0.0005 max mem: 29859 [16:20:24.269984] Epoch: [296] [849/850] eta: 0:00:00 lr: 0.001784 loss: 0.0160 (0.0168) loss_rec_all: 0.0524 (0.0530) loss_rec_sfr: 0.0579 (0.0740) loss_cl: -0.3681 (-0.3673) time: 0.8628 data: 0.0004 max mem: 29859 [16:20:24.401363] Epoch: [296] Total time: 0:12:18 (0.8689 s / it) [16:20:24.409240] Averaged stats: lr: 0.001784 loss: 0.0160 (0.0168) loss_rec_all: 0.0524 (0.0530) loss_rec_sfr: 0.0579 (0.0749) loss_cl: -0.3681 (-0.3673) [16:20:24.443066] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [16:20:31.010151] Epoch: [297] [ 0/850] eta: 1:33:01 lr: 0.001784 loss: 0.0151 (0.0151) loss_rec_all: 0.0515 (0.0515) loss_rec_sfr: 0.0519 (0.0519) loss_cl: -0.3679 (-0.3679) time: 6.5662 data: 5.4030 max mem: 29859 [16:20:48.229982] Epoch: [297] [ 20/850] eta: 0:15:40 lr: 0.001784 loss: 0.0156 (0.0160) loss_rec_all: 0.0518 (0.0522) loss_rec_sfr: 0.0823 (0.0763) loss_cl: -0.3679 (-0.3679) time: 0.8609 data: 0.0003 max mem: 29859 [16:21:05.487531] Epoch: [297] [ 40/850] eta: 0:13:30 lr: 0.001784 loss: 0.0161 (0.0162) loss_rec_all: 0.0524 (0.0525) loss_rec_sfr: 0.0614 (0.0741) loss_cl: -0.3680 (-0.3679) time: 0.8628 data: 0.0002 max mem: 29859 [16:21:22.741254] Epoch: [297] [ 60/850] eta: 0:12:34 lr: 0.001784 loss: 0.0174 (0.0167) loss_rec_all: 0.0535 (0.0529) loss_rec_sfr: 0.0740 (0.0754) loss_cl: -0.3672 (-0.3677) time: 0.8626 data: 0.0002 max mem: 29859 [16:21:40.042729] Epoch: [297] [ 80/850] eta: 0:11:58 lr: 0.001784 loss: 0.0160 (0.0166) loss_rec_all: 0.0520 (0.0528) loss_rec_sfr: 0.0758 (0.0758) loss_cl: -0.3674 (-0.3676) time: 0.8650 data: 0.0003 max mem: 29859 [16:21:57.296242] Epoch: [297] [100/850] eta: 0:11:29 lr: 0.001784 loss: 0.0168 (0.0166) loss_rec_all: 0.0527 (0.0528) loss_rec_sfr: 0.0765 (0.0760) loss_cl: -0.3672 (-0.3675) time: 0.8626 data: 0.0002 max mem: 29859 [16:22:14.607397] Epoch: [297] [120/850] eta: 0:11:04 lr: 0.001784 loss: 0.0161 (0.0166) loss_rec_all: 0.0523 (0.0528) loss_rec_sfr: 0.0662 (0.0762) loss_cl: -0.3668 (-0.3673) time: 0.8655 data: 0.0002 max mem: 29859 [16:22:31.872472] Epoch: [297] [140/850] eta: 0:10:41 lr: 0.001783 loss: 0.0146 (0.0164) loss_rec_all: 0.0510 (0.0526) loss_rec_sfr: 0.0528 (0.0744) loss_cl: -0.3669 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [16:22:49.191270] Epoch: [297] [160/850] eta: 0:10:20 lr: 0.001783 loss: 0.0167 (0.0165) loss_rec_all: 0.0527 (0.0527) loss_rec_sfr: 0.0790 (0.0753) loss_cl: -0.3671 (-0.3673) time: 0.8659 data: 0.0002 max mem: 29859 [16:23:06.497278] Epoch: [297] [180/850] eta: 0:09:59 lr: 0.001783 loss: 0.0149 (0.0164) loss_rec_all: 0.0510 (0.0526) loss_rec_sfr: 0.0556 (0.0749) loss_cl: -0.3669 (-0.3672) time: 0.8652 data: 0.0003 max mem: 29859 [16:23:23.791129] Epoch: [297] [200/850] eta: 0:09:39 lr: 0.001783 loss: 0.0157 (0.0163) loss_rec_all: 0.0519 (0.0525) loss_rec_sfr: 0.0744 (0.0753) loss_cl: -0.3672 (-0.3672) time: 0.8646 data: 0.0002 max mem: 29859 [16:23:41.051989] Epoch: [297] [220/850] eta: 0:09:20 lr: 0.001783 loss: 0.0152 (0.0162) loss_rec_all: 0.0516 (0.0524) loss_rec_sfr: 0.0587 (0.0749) loss_cl: -0.3669 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [16:23:58.360771] Epoch: [297] [240/850] eta: 0:09:01 lr: 0.001783 loss: 0.0154 (0.0162) loss_rec_all: 0.0518 (0.0524) loss_rec_sfr: 0.0602 (0.0753) loss_cl: -0.3672 (-0.3672) time: 0.8654 data: 0.0002 max mem: 29859 [16:24:15.648229] Epoch: [297] [260/850] eta: 0:08:42 lr: 0.001783 loss: 0.0167 (0.0163) loss_rec_all: 0.0530 (0.0525) loss_rec_sfr: 0.0667 (0.0754) loss_cl: -0.3677 (-0.3672) time: 0.8643 data: 0.0003 max mem: 29859 [16:24:32.951598] Epoch: [297] [280/850] eta: 0:08:24 lr: 0.001783 loss: 0.0182 (0.0165) loss_rec_all: 0.0542 (0.0527) loss_rec_sfr: 0.0725 (0.0759) loss_cl: -0.3673 (-0.3672) time: 0.8651 data: 0.0003 max mem: 29859 [16:24:50.203372] Epoch: [297] [300/850] eta: 0:08:05 lr: 0.001783 loss: 0.0170 (0.0165) loss_rec_all: 0.0532 (0.0527) loss_rec_sfr: 0.0675 (0.0760) loss_cl: -0.3678 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [16:25:07.519943] Epoch: [297] [320/850] eta: 0:07:47 lr: 0.001783 loss: 0.0175 (0.0166) loss_rec_all: 0.0539 (0.0528) loss_rec_sfr: 0.0625 (0.0760) loss_cl: -0.3683 (-0.3673) time: 0.8658 data: 0.0002 max mem: 29859 [16:25:24.789958] Epoch: [297] [340/850] eta: 0:07:29 lr: 0.001782 loss: 0.0181 (0.0167) loss_rec_all: 0.0543 (0.0529) loss_rec_sfr: 0.0792 (0.0765) loss_cl: -0.3680 (-0.3674) time: 0.8634 data: 0.0003 max mem: 29859 [16:25:42.097075] Epoch: [297] [360/850] eta: 0:07:11 lr: 0.001782 loss: 0.0165 (0.0167) loss_rec_all: 0.0528 (0.0529) loss_rec_sfr: 0.0568 (0.0759) loss_cl: -0.3673 (-0.3674) time: 0.8653 data: 0.0003 max mem: 29859 [16:25:59.353268] Epoch: [297] [380/850] eta: 0:06:53 lr: 0.001782 loss: 0.0165 (0.0167) loss_rec_all: 0.0525 (0.0529) loss_rec_sfr: 0.0732 (0.0760) loss_cl: -0.3667 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [16:26:16.674685] Epoch: [297] [400/850] eta: 0:06:35 lr: 0.001782 loss: 0.0156 (0.0167) loss_rec_all: 0.0519 (0.0529) loss_rec_sfr: 0.0578 (0.0760) loss_cl: -0.3665 (-0.3673) time: 0.8660 data: 0.0003 max mem: 29859 [16:26:33.912099] Epoch: [297] [420/850] eta: 0:06:17 lr: 0.001782 loss: 0.0147 (0.0166) loss_rec_all: 0.0509 (0.0528) loss_rec_sfr: 0.0578 (0.0755) loss_cl: -0.3670 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [16:26:51.210465] Epoch: [297] [440/850] eta: 0:05:59 lr: 0.001782 loss: 0.0146 (0.0166) loss_rec_all: 0.0510 (0.0528) loss_rec_sfr: 0.0554 (0.0755) loss_cl: -0.3674 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [16:27:08.445396] Epoch: [297] [460/850] eta: 0:05:41 lr: 0.001782 loss: 0.0145 (0.0165) loss_rec_all: 0.0510 (0.0527) loss_rec_sfr: 0.0565 (0.0752) loss_cl: -0.3674 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [16:27:25.716770] Epoch: [297] [480/850] eta: 0:05:24 lr: 0.001782 loss: 0.0150 (0.0165) loss_rec_all: 0.0512 (0.0527) loss_rec_sfr: 0.0577 (0.0751) loss_cl: -0.3674 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [16:27:42.963580] Epoch: [297] [500/850] eta: 0:05:06 lr: 0.001782 loss: 0.0157 (0.0165) loss_rec_all: 0.0520 (0.0527) loss_rec_sfr: 0.0771 (0.0752) loss_cl: -0.3674 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [16:28:00.300622] Epoch: [297] [520/850] eta: 0:04:48 lr: 0.001782 loss: 0.0151 (0.0164) loss_rec_all: 0.0513 (0.0526) loss_rec_sfr: 0.0570 (0.0751) loss_cl: -0.3674 (-0.3673) time: 0.8668 data: 0.0003 max mem: 29859 [16:28:17.548678] Epoch: [297] [540/850] eta: 0:04:31 lr: 0.001781 loss: 0.0194 (0.0166) loss_rec_all: 0.0558 (0.0528) loss_rec_sfr: 0.0787 (0.0753) loss_cl: -0.3675 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [16:28:34.786362] Epoch: [297] [560/850] eta: 0:04:13 lr: 0.001781 loss: 0.0214 (0.0169) loss_rec_all: 0.0578 (0.0531) loss_rec_sfr: 0.0871 (0.0759) loss_cl: -0.3678 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [16:28:52.028635] Epoch: [297] [580/850] eta: 0:03:55 lr: 0.001781 loss: 0.0202 (0.0171) loss_rec_all: 0.0565 (0.0533) loss_rec_sfr: 0.0851 (0.0762) loss_cl: -0.3679 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [16:29:09.322975] Epoch: [297] [600/850] eta: 0:03:38 lr: 0.001781 loss: 0.0190 (0.0172) loss_rec_all: 0.0552 (0.0534) loss_rec_sfr: 0.0611 (0.0761) loss_cl: -0.3670 (-0.3674) time: 0.8647 data: 0.0003 max mem: 29859 [16:29:26.563730] Epoch: [297] [620/850] eta: 0:03:20 lr: 0.001781 loss: 0.0186 (0.0172) loss_rec_all: 0.0548 (0.0534) loss_rec_sfr: 0.0823 (0.0763) loss_cl: -0.3667 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [16:29:43.869369] Epoch: [297] [640/850] eta: 0:03:03 lr: 0.001781 loss: 0.0175 (0.0173) loss_rec_all: 0.0538 (0.0535) loss_rec_sfr: 0.0844 (0.0763) loss_cl: -0.3667 (-0.3673) time: 0.8652 data: 0.0003 max mem: 29859 [16:30:01.103164] Epoch: [297] [660/850] eta: 0:02:45 lr: 0.001781 loss: 0.0178 (0.0173) loss_rec_all: 0.0540 (0.0535) loss_rec_sfr: 0.0865 (0.0765) loss_cl: -0.3669 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [16:30:18.386801] Epoch: [297] [680/850] eta: 0:02:28 lr: 0.001781 loss: 0.0171 (0.0173) loss_rec_all: 0.0532 (0.0535) loss_rec_sfr: 0.0783 (0.0765) loss_cl: -0.3666 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [16:30:35.628644] Epoch: [297] [700/850] eta: 0:02:10 lr: 0.001781 loss: 0.0181 (0.0174) loss_rec_all: 0.0543 (0.0535) loss_rec_sfr: 0.0801 (0.0766) loss_cl: -0.3670 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [16:30:52.909595] Epoch: [297] [720/850] eta: 0:01:53 lr: 0.001781 loss: 0.0165 (0.0174) loss_rec_all: 0.0530 (0.0535) loss_rec_sfr: 0.0544 (0.0763) loss_cl: -0.3677 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [16:31:10.171057] Epoch: [297] [740/850] eta: 0:01:35 lr: 0.001780 loss: 0.0159 (0.0173) loss_rec_all: 0.0524 (0.0535) loss_rec_sfr: 0.0546 (0.0762) loss_cl: -0.3682 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [16:31:27.468108] Epoch: [297] [760/850] eta: 0:01:18 lr: 0.001780 loss: 0.0170 (0.0174) loss_rec_all: 0.0533 (0.0535) loss_rec_sfr: 0.0775 (0.0763) loss_cl: -0.3678 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [16:31:44.731306] Epoch: [297] [780/850] eta: 0:01:00 lr: 0.001780 loss: 0.0172 (0.0174) loss_rec_all: 0.0534 (0.0536) loss_rec_sfr: 0.0792 (0.0764) loss_cl: -0.3673 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [16:32:02.040770] Epoch: [297] [800/850] eta: 0:00:43 lr: 0.001780 loss: 0.0150 (0.0173) loss_rec_all: 0.0513 (0.0535) loss_rec_sfr: 0.0578 (0.0762) loss_cl: -0.3670 (-0.3673) time: 0.8654 data: 0.0002 max mem: 29859 [16:32:19.306040] Epoch: [297] [820/850] eta: 0:00:26 lr: 0.001780 loss: 0.0169 (0.0173) loss_rec_all: 0.0530 (0.0535) loss_rec_sfr: 0.0770 (0.0763) loss_cl: -0.3670 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [16:32:36.582042] Epoch: [297] [840/850] eta: 0:00:08 lr: 0.001780 loss: 0.0162 (0.0173) loss_rec_all: 0.0526 (0.0535) loss_rec_sfr: 0.0650 (0.0760) loss_cl: -0.3676 (-0.3673) time: 0.8638 data: 0.0005 max mem: 29859 [16:32:44.340287] Epoch: [297] [849/850] eta: 0:00:00 lr: 0.001780 loss: 0.0161 (0.0173) loss_rec_all: 0.0524 (0.0535) loss_rec_sfr: 0.0650 (0.0760) loss_cl: -0.3677 (-0.3673) time: 0.8637 data: 0.0004 max mem: 29859 [16:32:44.473487] Epoch: [297] Total time: 0:12:20 (0.8706 s / it) [16:32:44.490197] Averaged stats: lr: 0.001780 loss: 0.0161 (0.0173) loss_rec_all: 0.0524 (0.0535) loss_rec_sfr: 0.0650 (0.0755) loss_cl: -0.3677 (-0.3673) [16:32:44.499416] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [16:32:49.755917] Epoch: [298] [ 0/850] eta: 1:14:27 lr: 0.001780 loss: 0.0131 (0.0131) loss_rec_all: 0.0495 (0.0495) loss_rec_sfr: 0.0466 (0.0466) loss_cl: -0.3675 (-0.3675) time: 5.2556 data: 3.8623 max mem: 29859 [16:33:06.965130] Epoch: [298] [ 20/850] eta: 0:14:47 lr: 0.001780 loss: 0.0148 (0.0153) loss_rec_all: 0.0512 (0.0516) loss_rec_sfr: 0.0516 (0.0699) loss_cl: -0.3676 (-0.3676) time: 0.8604 data: 0.0002 max mem: 29859 [16:33:24.226439] Epoch: [298] [ 40/850] eta: 0:13:04 lr: 0.001780 loss: 0.0158 (0.0157) loss_rec_all: 0.0522 (0.0520) loss_rec_sfr: 0.0867 (0.0768) loss_cl: -0.3676 (-0.3676) time: 0.8630 data: 0.0002 max mem: 29859 [16:33:41.516611] Epoch: [298] [ 60/850] eta: 0:12:18 lr: 0.001780 loss: 0.0149 (0.0156) loss_rec_all: 0.0513 (0.0518) loss_rec_sfr: 0.0534 (0.0747) loss_cl: -0.3677 (-0.3676) time: 0.8645 data: 0.0002 max mem: 29859 [16:33:58.783186] Epoch: [298] [ 80/850] eta: 0:11:46 lr: 0.001779 loss: 0.0153 (0.0157) loss_rec_all: 0.0518 (0.0519) loss_rec_sfr: 0.0590 (0.0742) loss_cl: -0.3674 (-0.3675) time: 0.8633 data: 0.0002 max mem: 29859 [16:34:16.033410] Epoch: [298] [100/850] eta: 0:11:19 lr: 0.001779 loss: 0.0154 (0.0157) loss_rec_all: 0.0516 (0.0520) loss_rec_sfr: 0.0803 (0.0755) loss_cl: -0.3674 (-0.3675) time: 0.8625 data: 0.0002 max mem: 29859 [16:34:33.305667] Epoch: [298] [120/850] eta: 0:10:56 lr: 0.001779 loss: 0.0163 (0.0158) loss_rec_all: 0.0525 (0.0521) loss_rec_sfr: 0.0615 (0.0755) loss_cl: -0.3670 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [16:34:50.588523] Epoch: [298] [140/850] eta: 0:10:34 lr: 0.001779 loss: 0.0148 (0.0158) loss_rec_all: 0.0511 (0.0520) loss_rec_sfr: 0.0615 (0.0757) loss_cl: -0.3669 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [16:35:07.897738] Epoch: [298] [160/850] eta: 0:10:14 lr: 0.001779 loss: 0.0144 (0.0158) loss_rec_all: 0.0508 (0.0520) loss_rec_sfr: 0.0570 (0.0743) loss_cl: -0.3677 (-0.3674) time: 0.8654 data: 0.0002 max mem: 29859 [16:35:25.157655] Epoch: [298] [180/850] eta: 0:09:54 lr: 0.001779 loss: 0.0151 (0.0158) loss_rec_all: 0.0512 (0.0520) loss_rec_sfr: 0.0568 (0.0742) loss_cl: -0.3675 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [16:35:42.429575] Epoch: [298] [200/850] eta: 0:09:35 lr: 0.001779 loss: 0.0156 (0.0158) loss_rec_all: 0.0517 (0.0520) loss_rec_sfr: 0.0783 (0.0749) loss_cl: -0.3677 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [16:35:59.692910] Epoch: [298] [220/850] eta: 0:09:16 lr: 0.001779 loss: 0.0149 (0.0158) loss_rec_all: 0.0512 (0.0520) loss_rec_sfr: 0.0602 (0.0750) loss_cl: -0.3673 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [16:36:17.029004] Epoch: [298] [240/850] eta: 0:08:57 lr: 0.001779 loss: 0.0163 (0.0159) loss_rec_all: 0.0524 (0.0521) loss_rec_sfr: 0.0735 (0.0751) loss_cl: -0.3671 (-0.3674) time: 0.8668 data: 0.0003 max mem: 29859 [16:36:34.287138] Epoch: [298] [260/850] eta: 0:08:39 lr: 0.001779 loss: 0.0165 (0.0159) loss_rec_all: 0.0528 (0.0521) loss_rec_sfr: 0.0702 (0.0752) loss_cl: -0.3671 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [16:36:51.611660] Epoch: [298] [280/850] eta: 0:08:21 lr: 0.001778 loss: 0.0160 (0.0159) loss_rec_all: 0.0521 (0.0522) loss_rec_sfr: 0.0755 (0.0756) loss_cl: -0.3672 (-0.3673) time: 0.8662 data: 0.0003 max mem: 29859 [16:37:08.902256] Epoch: [298] [300/850] eta: 0:08:03 lr: 0.001778 loss: 0.0145 (0.0159) loss_rec_all: 0.0508 (0.0521) loss_rec_sfr: 0.0558 (0.0752) loss_cl: -0.3675 (-0.3673) time: 0.8645 data: 0.0003 max mem: 29859 [16:37:26.198973] Epoch: [298] [320/850] eta: 0:07:45 lr: 0.001778 loss: 0.0156 (0.0159) loss_rec_all: 0.0520 (0.0521) loss_rec_sfr: 0.0591 (0.0751) loss_cl: -0.3678 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [16:37:43.494465] Epoch: [298] [340/850] eta: 0:07:27 lr: 0.001778 loss: 0.0141 (0.0158) loss_rec_all: 0.0504 (0.0520) loss_rec_sfr: 0.0568 (0.0749) loss_cl: -0.3679 (-0.3674) time: 0.8647 data: 0.0003 max mem: 29859 [16:38:00.814754] Epoch: [298] [360/850] eta: 0:07:09 lr: 0.001778 loss: 0.0142 (0.0158) loss_rec_all: 0.0506 (0.0520) loss_rec_sfr: 0.0547 (0.0748) loss_cl: -0.3678 (-0.3674) time: 0.8660 data: 0.0002 max mem: 29859 [16:38:18.095770] Epoch: [298] [380/850] eta: 0:06:51 lr: 0.001778 loss: 0.0146 (0.0157) loss_rec_all: 0.0510 (0.0519) loss_rec_sfr: 0.0533 (0.0747) loss_cl: -0.3673 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [16:38:35.432783] Epoch: [298] [400/850] eta: 0:06:33 lr: 0.001778 loss: 0.0153 (0.0157) loss_rec_all: 0.0516 (0.0520) loss_rec_sfr: 0.0575 (0.0744) loss_cl: -0.3670 (-0.3674) time: 0.8668 data: 0.0003 max mem: 29859 [16:38:52.715652] Epoch: [298] [420/850] eta: 0:06:16 lr: 0.001778 loss: 0.0149 (0.0158) loss_rec_all: 0.0511 (0.0520) loss_rec_sfr: 0.0572 (0.0743) loss_cl: -0.3670 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [16:39:10.034998] Epoch: [298] [440/850] eta: 0:05:58 lr: 0.001778 loss: 0.0156 (0.0158) loss_rec_all: 0.0517 (0.0520) loss_rec_sfr: 0.0584 (0.0742) loss_cl: -0.3672 (-0.3673) time: 0.8659 data: 0.0003 max mem: 29859 [16:39:27.288885] Epoch: [298] [460/850] eta: 0:05:40 lr: 0.001778 loss: 0.0162 (0.0159) loss_rec_all: 0.0526 (0.0521) loss_rec_sfr: 0.0636 (0.0743) loss_cl: -0.3676 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [16:39:44.583381] Epoch: [298] [480/850] eta: 0:05:23 lr: 0.001777 loss: 0.0160 (0.0159) loss_rec_all: 0.0524 (0.0521) loss_rec_sfr: 0.0571 (0.0742) loss_cl: -0.3680 (-0.3674) time: 0.8647 data: 0.0002 max mem: 29859 [16:40:01.827500] Epoch: [298] [500/850] eta: 0:05:05 lr: 0.001777 loss: 0.0152 (0.0159) loss_rec_all: 0.0518 (0.0522) loss_rec_sfr: 0.0523 (0.0741) loss_cl: -0.3683 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [16:40:19.130363] Epoch: [298] [520/850] eta: 0:04:47 lr: 0.001777 loss: 0.0159 (0.0160) loss_rec_all: 0.0522 (0.0522) loss_rec_sfr: 0.0570 (0.0740) loss_cl: -0.3676 (-0.3674) time: 0.8651 data: 0.0003 max mem: 29859 [16:40:36.406895] Epoch: [298] [540/850] eta: 0:04:30 lr: 0.001777 loss: 0.0178 (0.0160) loss_rec_all: 0.0541 (0.0522) loss_rec_sfr: 0.0764 (0.0742) loss_cl: -0.3669 (-0.3674) time: 0.8638 data: 0.0003 max mem: 29859 [16:40:53.724853] Epoch: [298] [560/850] eta: 0:04:12 lr: 0.001777 loss: 0.0157 (0.0160) loss_rec_all: 0.0517 (0.0523) loss_rec_sfr: 0.0785 (0.0742) loss_cl: -0.3666 (-0.3674) time: 0.8658 data: 0.0003 max mem: 29859 [16:41:11.024052] Epoch: [298] [580/850] eta: 0:03:55 lr: 0.001777 loss: 0.0164 (0.0161) loss_rec_all: 0.0526 (0.0523) loss_rec_sfr: 0.0727 (0.0741) loss_cl: -0.3672 (-0.3673) time: 0.8649 data: 0.0003 max mem: 29859 [16:41:28.321630] Epoch: [298] [600/850] eta: 0:03:37 lr: 0.001777 loss: 0.0158 (0.0161) loss_rec_all: 0.0521 (0.0523) loss_rec_sfr: 0.0572 (0.0740) loss_cl: -0.3671 (-0.3673) time: 0.8648 data: 0.0003 max mem: 29859 [16:41:45.595321] Epoch: [298] [620/850] eta: 0:03:20 lr: 0.001777 loss: 0.0162 (0.0161) loss_rec_all: 0.0525 (0.0523) loss_rec_sfr: 0.0760 (0.0742) loss_cl: -0.3672 (-0.3673) time: 0.8636 data: 0.0003 max mem: 29859 [16:42:02.874535] Epoch: [298] [640/850] eta: 0:03:02 lr: 0.001777 loss: 0.0140 (0.0161) loss_rec_all: 0.0504 (0.0523) loss_rec_sfr: 0.0579 (0.0741) loss_cl: -0.3671 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [16:42:20.128554] Epoch: [298] [660/850] eta: 0:02:45 lr: 0.001776 loss: 0.0154 (0.0161) loss_rec_all: 0.0516 (0.0523) loss_rec_sfr: 0.0848 (0.0743) loss_cl: -0.3672 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [16:42:37.412566] Epoch: [298] [680/850] eta: 0:02:28 lr: 0.001776 loss: 0.0151 (0.0161) loss_rec_all: 0.0516 (0.0523) loss_rec_sfr: 0.0585 (0.0743) loss_cl: -0.3679 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [16:42:54.662352] Epoch: [298] [700/850] eta: 0:02:10 lr: 0.001776 loss: 0.0169 (0.0161) loss_rec_all: 0.0531 (0.0523) loss_rec_sfr: 0.0745 (0.0745) loss_cl: -0.3678 (-0.3674) time: 0.8624 data: 0.0003 max mem: 29859 [16:43:11.960863] Epoch: [298] [720/850] eta: 0:01:53 lr: 0.001776 loss: 0.0160 (0.0161) loss_rec_all: 0.0524 (0.0523) loss_rec_sfr: 0.0589 (0.0744) loss_cl: -0.3678 (-0.3674) time: 0.8649 data: 0.0003 max mem: 29859 [16:43:29.232688] Epoch: [298] [740/850] eta: 0:01:35 lr: 0.001776 loss: 0.0167 (0.0161) loss_rec_all: 0.0529 (0.0524) loss_rec_sfr: 0.0751 (0.0745) loss_cl: -0.3668 (-0.3673) time: 0.8635 data: 0.0003 max mem: 29859 [16:43:46.512427] Epoch: [298] [760/850] eta: 0:01:18 lr: 0.001776 loss: 0.0162 (0.0161) loss_rec_all: 0.0523 (0.0524) loss_rec_sfr: 0.0671 (0.0745) loss_cl: -0.3665 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [16:44:03.775901] Epoch: [298] [780/850] eta: 0:01:00 lr: 0.001776 loss: 0.0171 (0.0162) loss_rec_all: 0.0532 (0.0524) loss_rec_sfr: 0.0812 (0.0746) loss_cl: -0.3667 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [16:44:21.070354] Epoch: [298] [800/850] eta: 0:00:43 lr: 0.001776 loss: 0.0154 (0.0162) loss_rec_all: 0.0517 (0.0524) loss_rec_sfr: 0.0604 (0.0746) loss_cl: -0.3675 (-0.3673) time: 0.8647 data: 0.0003 max mem: 29859 [16:44:38.349265] Epoch: [298] [820/850] eta: 0:00:26 lr: 0.001776 loss: 0.0149 (0.0161) loss_rec_all: 0.0512 (0.0524) loss_rec_sfr: 0.0575 (0.0746) loss_cl: -0.3676 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [16:44:55.640046] Epoch: [298] [840/850] eta: 0:00:08 lr: 0.001776 loss: 0.0146 (0.0161) loss_rec_all: 0.0509 (0.0523) loss_rec_sfr: 0.0525 (0.0744) loss_cl: -0.3678 (-0.3673) time: 0.8645 data: 0.0005 max mem: 29859 [16:45:03.400964] Epoch: [298] [849/850] eta: 0:00:00 lr: 0.001776 loss: 0.0138 (0.0161) loss_rec_all: 0.0502 (0.0523) loss_rec_sfr: 0.0556 (0.0744) loss_cl: -0.3679 (-0.3673) time: 0.8641 data: 0.0004 max mem: 29859 [16:45:03.530782] Epoch: [298] Total time: 0:12:19 (0.8694 s / it) [16:45:03.533292] Averaged stats: lr: 0.001776 loss: 0.0138 (0.0163) loss_rec_all: 0.0502 (0.0525) loss_rec_sfr: 0.0556 (0.0745) loss_cl: -0.3679 (-0.3673) [16:45:03.545858] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [16:45:08.460311] Epoch: [299] [ 0/850] eta: 1:09:36 lr: 0.001775 loss: 0.0161 (0.0161) loss_rec_all: 0.0521 (0.0521) loss_rec_sfr: 0.0911 (0.0911) loss_cl: -0.3669 (-0.3669) time: 4.9136 data: 4.0584 max mem: 29859 [16:45:25.698019] Epoch: [299] [ 20/850] eta: 0:14:35 lr: 0.001775 loss: 0.0142 (0.0153) loss_rec_all: 0.0506 (0.0515) loss_rec_sfr: 0.0573 (0.0703) loss_cl: -0.3676 (-0.3674) time: 0.8618 data: 0.0003 max mem: 29859 [16:45:42.949367] Epoch: [299] [ 40/850] eta: 0:12:58 lr: 0.001775 loss: 0.0178 (0.0175) loss_rec_all: 0.0537 (0.0537) loss_rec_sfr: 0.0921 (0.0789) loss_cl: -0.3675 (-0.3675) time: 0.8625 data: 0.0002 max mem: 29859 [16:46:00.197158] Epoch: [299] [ 60/850] eta: 0:12:13 lr: 0.001775 loss: 0.0170 (0.0175) loss_rec_all: 0.0534 (0.0538) loss_rec_sfr: 0.0568 (0.0752) loss_cl: -0.3681 (-0.3677) time: 0.8623 data: 0.0003 max mem: 29859 [16:46:17.477816] Epoch: [299] [ 80/850] eta: 0:11:42 lr: 0.001775 loss: 0.0165 (0.0177) loss_rec_all: 0.0528 (0.0539) loss_rec_sfr: 0.0572 (0.0746) loss_cl: -0.3674 (-0.3676) time: 0.8640 data: 0.0002 max mem: 29859 [16:46:34.710370] Epoch: [299] [100/850] eta: 0:11:16 lr: 0.001775 loss: 0.0164 (0.0175) loss_rec_all: 0.0527 (0.0538) loss_rec_sfr: 0.0713 (0.0754) loss_cl: -0.3674 (-0.3676) time: 0.8616 data: 0.0002 max mem: 29859 [16:46:51.982140] Epoch: [299] [120/850] eta: 0:10:54 lr: 0.001775 loss: 0.0163 (0.0174) loss_rec_all: 0.0524 (0.0537) loss_rec_sfr: 0.0755 (0.0759) loss_cl: -0.3670 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [16:47:09.222321] Epoch: [299] [140/850] eta: 0:10:32 lr: 0.001775 loss: 0.0164 (0.0173) loss_rec_all: 0.0528 (0.0535) loss_rec_sfr: 0.0774 (0.0768) loss_cl: -0.3671 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [16:47:26.532671] Epoch: [299] [160/850] eta: 0:10:12 lr: 0.001775 loss: 0.0144 (0.0172) loss_rec_all: 0.0507 (0.0534) loss_rec_sfr: 0.0808 (0.0768) loss_cl: -0.3674 (-0.3674) time: 0.8655 data: 0.0003 max mem: 29859 [16:47:43.772135] Epoch: [299] [180/850] eta: 0:09:53 lr: 0.001775 loss: 0.0156 (0.0171) loss_rec_all: 0.0519 (0.0533) loss_rec_sfr: 0.0572 (0.0758) loss_cl: -0.3673 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [16:48:01.079260] Epoch: [299] [200/850] eta: 0:09:34 lr: 0.001774 loss: 0.0154 (0.0169) loss_rec_all: 0.0514 (0.0531) loss_rec_sfr: 0.0582 (0.0756) loss_cl: -0.3668 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [16:48:18.331942] Epoch: [299] [220/850] eta: 0:09:15 lr: 0.001774 loss: 0.0147 (0.0168) loss_rec_all: 0.0510 (0.0530) loss_rec_sfr: 0.0544 (0.0756) loss_cl: -0.3674 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [16:48:35.624711] Epoch: [299] [240/850] eta: 0:08:56 lr: 0.001774 loss: 0.0171 (0.0168) loss_rec_all: 0.0531 (0.0530) loss_rec_sfr: 0.0759 (0.0757) loss_cl: -0.3676 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [16:48:52.881818] Epoch: [299] [260/850] eta: 0:08:38 lr: 0.001774 loss: 0.0151 (0.0167) loss_rec_all: 0.0513 (0.0529) loss_rec_sfr: 0.0631 (0.0755) loss_cl: -0.3680 (-0.3673) time: 0.8628 data: 0.0007 max mem: 29859 [16:49:10.162904] Epoch: [299] [280/850] eta: 0:08:20 lr: 0.001774 loss: 0.0165 (0.0167) loss_rec_all: 0.0525 (0.0529) loss_rec_sfr: 0.0531 (0.0751) loss_cl: -0.3680 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [16:49:27.418809] Epoch: [299] [300/850] eta: 0:08:02 lr: 0.001774 loss: 0.0170 (0.0168) loss_rec_all: 0.0529 (0.0530) loss_rec_sfr: 0.0909 (0.0762) loss_cl: -0.3677 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [16:49:44.707803] Epoch: [299] [320/850] eta: 0:07:44 lr: 0.001774 loss: 0.0174 (0.0168) loss_rec_all: 0.0533 (0.0530) loss_rec_sfr: 0.0750 (0.0765) loss_cl: -0.3675 (-0.3674) time: 0.8644 data: 0.0002 max mem: 29859 [16:50:01.951298] Epoch: [299] [340/850] eta: 0:07:26 lr: 0.001774 loss: 0.0164 (0.0168) loss_rec_all: 0.0528 (0.0531) loss_rec_sfr: 0.0535 (0.0759) loss_cl: -0.3674 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [16:50:19.243178] Epoch: [299] [360/850] eta: 0:07:08 lr: 0.001774 loss: 0.0165 (0.0168) loss_rec_all: 0.0526 (0.0530) loss_rec_sfr: 0.0765 (0.0762) loss_cl: -0.3675 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [16:50:36.495908] Epoch: [299] [380/850] eta: 0:06:50 lr: 0.001774 loss: 0.0155 (0.0168) loss_rec_all: 0.0518 (0.0530) loss_rec_sfr: 0.0586 (0.0762) loss_cl: -0.3675 (-0.3674) time: 0.8626 data: 0.0002 max mem: 29859 [16:50:53.807241] Epoch: [299] [400/850] eta: 0:06:33 lr: 0.001773 loss: 0.0179 (0.0169) loss_rec_all: 0.0538 (0.0531) loss_rec_sfr: 0.0904 (0.0769) loss_cl: -0.3671 (-0.3674) time: 0.8655 data: 0.0002 max mem: 29859 [16:51:11.058854] Epoch: [299] [420/850] eta: 0:06:15 lr: 0.001773 loss: 0.0156 (0.0168) loss_rec_all: 0.0519 (0.0530) loss_rec_sfr: 0.0763 (0.0771) loss_cl: -0.3672 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [16:51:28.357534] Epoch: [299] [440/850] eta: 0:05:57 lr: 0.001773 loss: 0.0155 (0.0168) loss_rec_all: 0.0516 (0.0530) loss_rec_sfr: 0.0596 (0.0770) loss_cl: -0.3668 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [16:51:45.604736] Epoch: [299] [460/850] eta: 0:05:40 lr: 0.001773 loss: 0.0171 (0.0168) loss_rec_all: 0.0531 (0.0530) loss_rec_sfr: 0.0764 (0.0770) loss_cl: -0.3670 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [16:52:02.888170] Epoch: [299] [480/850] eta: 0:05:22 lr: 0.001773 loss: 0.0153 (0.0168) loss_rec_all: 0.0515 (0.0530) loss_rec_sfr: 0.0572 (0.0768) loss_cl: -0.3673 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [16:52:20.132556] Epoch: [299] [500/850] eta: 0:05:04 lr: 0.001773 loss: 0.0164 (0.0168) loss_rec_all: 0.0523 (0.0530) loss_rec_sfr: 0.0776 (0.0771) loss_cl: -0.3675 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [16:52:37.400334] Epoch: [299] [520/850] eta: 0:04:47 lr: 0.001773 loss: 0.0171 (0.0168) loss_rec_all: 0.0532 (0.0530) loss_rec_sfr: 0.0817 (0.0772) loss_cl: -0.3682 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [16:52:54.626764] Epoch: [299] [540/850] eta: 0:04:29 lr: 0.001773 loss: 0.0169 (0.0169) loss_rec_all: 0.0531 (0.0530) loss_rec_sfr: 0.0948 (0.0779) loss_cl: -0.3679 (-0.3674) time: 0.8613 data: 0.0002 max mem: 29859 [16:53:11.897340] Epoch: [299] [560/850] eta: 0:04:12 lr: 0.001773 loss: 0.0186 (0.0169) loss_rec_all: 0.0546 (0.0531) loss_rec_sfr: 0.0845 (0.0779) loss_cl: -0.3671 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [16:53:29.135538] Epoch: [299] [580/850] eta: 0:03:54 lr: 0.001773 loss: 0.0200 (0.0171) loss_rec_all: 0.0560 (0.0533) loss_rec_sfr: 0.0658 (0.0781) loss_cl: -0.3669 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [16:53:46.425081] Epoch: [299] [600/850] eta: 0:03:37 lr: 0.001772 loss: 0.0186 (0.0171) loss_rec_all: 0.0548 (0.0533) loss_rec_sfr: 0.0778 (0.0783) loss_cl: -0.3675 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [16:54:03.659489] Epoch: [299] [620/850] eta: 0:03:20 lr: 0.001772 loss: 0.0176 (0.0172) loss_rec_all: 0.0539 (0.0534) loss_rec_sfr: 0.0566 (0.0778) loss_cl: -0.3681 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [16:54:20.937653] Epoch: [299] [640/850] eta: 0:03:02 lr: 0.001772 loss: 0.0168 (0.0172) loss_rec_all: 0.0532 (0.0534) loss_rec_sfr: 0.0573 (0.0778) loss_cl: -0.3682 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [16:54:38.199406] Epoch: [299] [660/850] eta: 0:02:45 lr: 0.001772 loss: 0.0171 (0.0172) loss_rec_all: 0.0534 (0.0534) loss_rec_sfr: 0.0886 (0.0780) loss_cl: -0.3678 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [16:54:55.500844] Epoch: [299] [680/850] eta: 0:02:27 lr: 0.001772 loss: 0.0160 (0.0172) loss_rec_all: 0.0521 (0.0534) loss_rec_sfr: 0.0540 (0.0776) loss_cl: -0.3671 (-0.3674) time: 0.8650 data: 0.0002 max mem: 29859 [16:55:12.753159] Epoch: [299] [700/850] eta: 0:02:10 lr: 0.001772 loss: 0.0153 (0.0172) loss_rec_all: 0.0516 (0.0534) loss_rec_sfr: 0.0699 (0.0776) loss_cl: -0.3667 (-0.3674) time: 0.8626 data: 0.0002 max mem: 29859 [16:55:30.016345] Epoch: [299] [720/850] eta: 0:01:52 lr: 0.001772 loss: 0.0149 (0.0171) loss_rec_all: 0.0512 (0.0533) loss_rec_sfr: 0.0517 (0.0774) loss_cl: -0.3669 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [16:55:47.259442] Epoch: [299] [740/850] eta: 0:01:35 lr: 0.001772 loss: 0.0149 (0.0171) loss_rec_all: 0.0512 (0.0533) loss_rec_sfr: 0.0570 (0.0773) loss_cl: -0.3673 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [16:56:04.545234] Epoch: [299] [760/850] eta: 0:01:18 lr: 0.001772 loss: 0.0160 (0.0171) loss_rec_all: 0.0523 (0.0533) loss_rec_sfr: 0.0528 (0.0773) loss_cl: -0.3670 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [16:56:21.783947] Epoch: [299] [780/850] eta: 0:01:00 lr: 0.001772 loss: 0.0165 (0.0171) loss_rec_all: 0.0526 (0.0533) loss_rec_sfr: 0.0755 (0.0774) loss_cl: -0.3670 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [16:56:39.071416] Epoch: [299] [800/850] eta: 0:00:43 lr: 0.001771 loss: 0.0163 (0.0170) loss_rec_all: 0.0524 (0.0532) loss_rec_sfr: 0.0700 (0.0774) loss_cl: -0.3667 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [16:56:56.309827] Epoch: [299] [820/850] eta: 0:00:26 lr: 0.001771 loss: 0.0150 (0.0170) loss_rec_all: 0.0514 (0.0532) loss_rec_sfr: 0.0747 (0.0773) loss_cl: -0.3673 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [16:57:13.595336] Epoch: [299] [840/850] eta: 0:00:08 lr: 0.001771 loss: 0.0171 (0.0170) loss_rec_all: 0.0535 (0.0532) loss_rec_sfr: 0.0695 (0.0772) loss_cl: -0.3680 (-0.3673) time: 0.8642 data: 0.0005 max mem: 29859 [16:57:21.357699] Epoch: [299] [849/850] eta: 0:00:00 lr: 0.001771 loss: 0.0173 (0.0170) loss_rec_all: 0.0536 (0.0532) loss_rec_sfr: 0.0611 (0.0772) loss_cl: -0.3682 (-0.3673) time: 0.8638 data: 0.0004 max mem: 29859 [16:57:21.511487] Epoch: [299] Total time: 0:12:17 (0.8682 s / it) [16:57:21.514026] Averaged stats: lr: 0.001771 loss: 0.0173 (0.0170) loss_rec_all: 0.0536 (0.0532) loss_rec_sfr: 0.0611 (0.0762) loss_cl: -0.3682 (-0.3673) [16:57:21.526766] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [16:57:26.144010] Epoch: [300] [ 0/850] eta: 1:05:23 lr: 0.001771 loss: 0.0111 (0.0111) loss_rec_all: 0.0476 (0.0476) loss_rec_sfr: 0.0451 (0.0451) loss_cl: -0.3682 (-0.3682) time: 4.6160 data: 3.7373 max mem: 29859 [16:57:43.365033] Epoch: [300] [ 20/850] eta: 0:14:23 lr: 0.001771 loss: 0.0156 (0.0159) loss_rec_all: 0.0518 (0.0521) loss_rec_sfr: 0.0775 (0.0764) loss_cl: -0.3680 (-0.3679) time: 0.8610 data: 0.0003 max mem: 29859 [16:58:00.620719] Epoch: [300] [ 40/850] eta: 0:12:52 lr: 0.001771 loss: 0.0158 (0.0159) loss_rec_all: 0.0519 (0.0522) loss_rec_sfr: 0.0757 (0.0766) loss_cl: -0.3681 (-0.3680) time: 0.8627 data: 0.0002 max mem: 29859 [16:58:17.837125] Epoch: [300] [ 60/850] eta: 0:12:09 lr: 0.001771 loss: 0.0166 (0.0161) loss_rec_all: 0.0526 (0.0523) loss_rec_sfr: 0.0742 (0.0770) loss_cl: -0.3673 (-0.3677) time: 0.8608 data: 0.0002 max mem: 29859 [16:58:35.093084] Epoch: [300] [ 80/850] eta: 0:11:39 lr: 0.001771 loss: 0.0163 (0.0163) loss_rec_all: 0.0525 (0.0525) loss_rec_sfr: 0.0792 (0.0784) loss_cl: -0.3666 (-0.3675) time: 0.8627 data: 0.0002 max mem: 29859 [16:58:52.311614] Epoch: [300] [100/850] eta: 0:11:14 lr: 0.001771 loss: 0.0160 (0.0164) loss_rec_all: 0.0519 (0.0526) loss_rec_sfr: 0.0571 (0.0777) loss_cl: -0.3670 (-0.3674) time: 0.8609 data: 0.0002 max mem: 29859 [16:59:09.582922] Epoch: [300] [120/850] eta: 0:10:51 lr: 0.001771 loss: 0.0157 (0.0163) loss_rec_all: 0.0516 (0.0525) loss_rec_sfr: 0.0543 (0.0776) loss_cl: -0.3674 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [16:59:26.841802] Epoch: [300] [140/850] eta: 0:10:30 lr: 0.001770 loss: 0.0154 (0.0164) loss_rec_all: 0.0517 (0.0526) loss_rec_sfr: 0.0626 (0.0763) loss_cl: -0.3676 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [16:59:44.115213] Epoch: [300] [160/850] eta: 0:10:11 lr: 0.001770 loss: 0.0168 (0.0164) loss_rec_all: 0.0531 (0.0526) loss_rec_sfr: 0.0595 (0.0761) loss_cl: -0.3680 (-0.3675) time: 0.8636 data: 0.0002 max mem: 29859 [17:00:01.350059] Epoch: [300] [180/850] eta: 0:09:51 lr: 0.001770 loss: 0.0151 (0.0163) loss_rec_all: 0.0515 (0.0525) loss_rec_sfr: 0.0593 (0.0750) loss_cl: -0.3683 (-0.3676) time: 0.8617 data: 0.0002 max mem: 29859 [17:00:18.624603] Epoch: [300] [200/850] eta: 0:09:32 lr: 0.001770 loss: 0.0165 (0.0164) loss_rec_all: 0.0526 (0.0526) loss_rec_sfr: 0.0779 (0.0759) loss_cl: -0.3678 (-0.3676) time: 0.8637 data: 0.0002 max mem: 29859 [17:00:35.861632] Epoch: [300] [220/850] eta: 0:09:13 lr: 0.001770 loss: 0.0159 (0.0164) loss_rec_all: 0.0521 (0.0527) loss_rec_sfr: 0.0690 (0.0761) loss_cl: -0.3675 (-0.3676) time: 0.8618 data: 0.0002 max mem: 29859 [17:00:53.138358] Epoch: [300] [240/850] eta: 0:08:55 lr: 0.001770 loss: 0.0161 (0.0164) loss_rec_all: 0.0523 (0.0527) loss_rec_sfr: 0.0623 (0.0757) loss_cl: -0.3671 (-0.3675) time: 0.8638 data: 0.0002 max mem: 29859 [17:01:10.378665] Epoch: [300] [260/850] eta: 0:08:37 lr: 0.001770 loss: 0.0177 (0.0166) loss_rec_all: 0.0540 (0.0529) loss_rec_sfr: 0.0811 (0.0760) loss_cl: -0.3666 (-0.3675) time: 0.8620 data: 0.0003 max mem: 29859 [17:01:27.654063] Epoch: [300] [280/850] eta: 0:08:19 lr: 0.001770 loss: 0.0164 (0.0167) loss_rec_all: 0.0524 (0.0529) loss_rec_sfr: 0.0578 (0.0759) loss_cl: -0.3664 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [17:01:44.890117] Epoch: [300] [300/850] eta: 0:08:01 lr: 0.001770 loss: 0.0164 (0.0167) loss_rec_all: 0.0525 (0.0529) loss_rec_sfr: 0.0808 (0.0760) loss_cl: -0.3666 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [17:02:02.160538] Epoch: [300] [320/850] eta: 0:07:43 lr: 0.001769 loss: 0.0160 (0.0167) loss_rec_all: 0.0520 (0.0529) loss_rec_sfr: 0.0856 (0.0764) loss_cl: -0.3670 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [17:02:19.385519] Epoch: [300] [340/850] eta: 0:07:25 lr: 0.001769 loss: 0.0160 (0.0167) loss_rec_all: 0.0524 (0.0529) loss_rec_sfr: 0.0537 (0.0760) loss_cl: -0.3674 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [17:02:36.652660] Epoch: [300] [360/850] eta: 0:07:07 lr: 0.001769 loss: 0.0151 (0.0166) loss_rec_all: 0.0514 (0.0528) loss_rec_sfr: 0.0553 (0.0757) loss_cl: -0.3682 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [17:02:53.891328] Epoch: [300] [380/850] eta: 0:06:49 lr: 0.001769 loss: 0.0149 (0.0166) loss_rec_all: 0.0514 (0.0528) loss_rec_sfr: 0.0759 (0.0756) loss_cl: -0.3685 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [17:03:11.170271] Epoch: [300] [400/850] eta: 0:06:32 lr: 0.001769 loss: 0.0155 (0.0166) loss_rec_all: 0.0516 (0.0528) loss_rec_sfr: 0.0738 (0.0756) loss_cl: -0.3672 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [17:03:28.399828] Epoch: [300] [420/850] eta: 0:06:14 lr: 0.001769 loss: 0.0160 (0.0166) loss_rec_all: 0.0524 (0.0528) loss_rec_sfr: 0.0764 (0.0756) loss_cl: -0.3672 (-0.3674) time: 0.8614 data: 0.0002 max mem: 29859 [17:03:45.669371] Epoch: [300] [440/850] eta: 0:05:57 lr: 0.001769 loss: 0.0166 (0.0166) loss_rec_all: 0.0526 (0.0528) loss_rec_sfr: 0.0761 (0.0759) loss_cl: -0.3672 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [17:04:02.896875] Epoch: [300] [460/850] eta: 0:05:39 lr: 0.001769 loss: 0.0156 (0.0166) loss_rec_all: 0.0519 (0.0528) loss_rec_sfr: 0.0791 (0.0759) loss_cl: -0.3684 (-0.3674) time: 0.8613 data: 0.0002 max mem: 29859 [17:04:20.162896] Epoch: [300] [480/850] eta: 0:05:22 lr: 0.001769 loss: 0.0147 (0.0165) loss_rec_all: 0.0511 (0.0528) loss_rec_sfr: 0.0559 (0.0754) loss_cl: -0.3678 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [17:04:37.387547] Epoch: [300] [500/850] eta: 0:05:04 lr: 0.001769 loss: 0.0149 (0.0165) loss_rec_all: 0.0513 (0.0527) loss_rec_sfr: 0.0623 (0.0751) loss_cl: -0.3676 (-0.3674) time: 0.8612 data: 0.0002 max mem: 29859 [17:04:54.661890] Epoch: [300] [520/850] eta: 0:04:46 lr: 0.001768 loss: 0.0153 (0.0165) loss_rec_all: 0.0513 (0.0527) loss_rec_sfr: 0.0539 (0.0751) loss_cl: -0.3671 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [17:05:11.881512] Epoch: [300] [540/850] eta: 0:04:29 lr: 0.001768 loss: 0.0153 (0.0164) loss_rec_all: 0.0514 (0.0527) loss_rec_sfr: 0.0770 (0.0752) loss_cl: -0.3673 (-0.3674) time: 0.8609 data: 0.0002 max mem: 29859 [17:05:29.139808] Epoch: [300] [560/850] eta: 0:04:12 lr: 0.001768 loss: 0.0155 (0.0165) loss_rec_all: 0.0519 (0.0527) loss_rec_sfr: 0.0715 (0.0752) loss_cl: -0.3673 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [17:05:46.363671] Epoch: [300] [580/850] eta: 0:03:54 lr: 0.001768 loss: 0.0150 (0.0164) loss_rec_all: 0.0514 (0.0526) loss_rec_sfr: 0.0569 (0.0750) loss_cl: -0.3676 (-0.3674) time: 0.8611 data: 0.0002 max mem: 29859 [17:06:03.631887] Epoch: [300] [600/850] eta: 0:03:37 lr: 0.001768 loss: 0.0159 (0.0164) loss_rec_all: 0.0524 (0.0526) loss_rec_sfr: 0.0853 (0.0752) loss_cl: -0.3680 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [17:06:20.879326] Epoch: [300] [620/850] eta: 0:03:19 lr: 0.001768 loss: 0.0152 (0.0164) loss_rec_all: 0.0514 (0.0526) loss_rec_sfr: 0.0779 (0.0753) loss_cl: -0.3675 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [17:06:38.149069] Epoch: [300] [640/850] eta: 0:03:02 lr: 0.001768 loss: 0.0142 (0.0164) loss_rec_all: 0.0506 (0.0526) loss_rec_sfr: 0.0565 (0.0750) loss_cl: -0.3670 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [17:06:55.380599] Epoch: [300] [660/850] eta: 0:02:44 lr: 0.001768 loss: 0.0156 (0.0164) loss_rec_all: 0.0517 (0.0526) loss_rec_sfr: 0.0749 (0.0752) loss_cl: -0.3673 (-0.3674) time: 0.8615 data: 0.0002 max mem: 29859 [17:07:12.656163] Epoch: [300] [680/850] eta: 0:02:27 lr: 0.001768 loss: 0.0162 (0.0164) loss_rec_all: 0.0526 (0.0526) loss_rec_sfr: 0.0614 (0.0751) loss_cl: -0.3674 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [17:07:29.895737] Epoch: [300] [700/850] eta: 0:02:10 lr: 0.001768 loss: 0.0156 (0.0164) loss_rec_all: 0.0519 (0.0526) loss_rec_sfr: 0.0634 (0.0750) loss_cl: -0.3670 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [17:07:47.167832] Epoch: [300] [720/850] eta: 0:01:52 lr: 0.001767 loss: 0.0158 (0.0164) loss_rec_all: 0.0522 (0.0526) loss_rec_sfr: 0.0549 (0.0747) loss_cl: -0.3671 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [17:08:04.402218] Epoch: [300] [740/850] eta: 0:01:35 lr: 0.001767 loss: 0.0157 (0.0164) loss_rec_all: 0.0521 (0.0526) loss_rec_sfr: 0.0522 (0.0744) loss_cl: -0.3670 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [17:08:21.676949] Epoch: [300] [760/850] eta: 0:01:18 lr: 0.001767 loss: 0.0159 (0.0164) loss_rec_all: 0.0523 (0.0526) loss_rec_sfr: 0.0793 (0.0746) loss_cl: -0.3669 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [17:08:38.909175] Epoch: [300] [780/850] eta: 0:01:00 lr: 0.001767 loss: 0.0165 (0.0164) loss_rec_all: 0.0528 (0.0526) loss_rec_sfr: 0.0664 (0.0747) loss_cl: -0.3672 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [17:08:56.178449] Epoch: [300] [800/850] eta: 0:00:43 lr: 0.001767 loss: 0.0156 (0.0164) loss_rec_all: 0.0519 (0.0526) loss_rec_sfr: 0.0562 (0.0745) loss_cl: -0.3670 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [17:09:13.423945] Epoch: [300] [820/850] eta: 0:00:26 lr: 0.001767 loss: 0.0153 (0.0164) loss_rec_all: 0.0516 (0.0526) loss_rec_sfr: 0.0531 (0.0743) loss_cl: -0.3675 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [17:09:30.701768] Epoch: [300] [840/850] eta: 0:00:08 lr: 0.001767 loss: 0.0148 (0.0164) loss_rec_all: 0.0512 (0.0526) loss_rec_sfr: 0.0557 (0.0743) loss_cl: -0.3678 (-0.3674) time: 0.8638 data: 0.0005 max mem: 29859 [17:09:38.464020] Epoch: [300] [849/850] eta: 0:00:00 lr: 0.001767 loss: 0.0154 (0.0164) loss_rec_all: 0.0518 (0.0526) loss_rec_sfr: 0.0557 (0.0743) loss_cl: -0.3678 (-0.3674) time: 0.8640 data: 0.0004 max mem: 29859 [17:09:38.643227] Epoch: [300] Total time: 0:12:17 (0.8672 s / it) [17:09:38.645738] Averaged stats: lr: 0.001767 loss: 0.0154 (0.0164) loss_rec_all: 0.0518 (0.0526) loss_rec_sfr: 0.0557 (0.0739) loss_cl: -0.3678 (-0.3673) [17:09:42.623872] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [17:09:47.008255] Epoch: [301] [ 0/850] eta: 1:02:05 lr: 0.001767 loss: 0.0135 (0.0135) loss_rec_all: 0.0499 (0.0499) loss_rec_sfr: 0.0547 (0.0547) loss_cl: -0.3673 (-0.3673) time: 4.3833 data: 3.5229 max mem: 29859 [17:10:04.180080] Epoch: [301] [ 20/850] eta: 0:14:11 lr: 0.001767 loss: 0.0150 (0.0151) loss_rec_all: 0.0510 (0.0512) loss_rec_sfr: 0.0828 (0.0791) loss_cl: -0.3668 (-0.3669) time: 0.8585 data: 0.0002 max mem: 29859 [17:10:21.410156] Epoch: [301] [ 40/850] eta: 0:12:46 lr: 0.001767 loss: 0.0154 (0.0153) loss_rec_all: 0.0515 (0.0515) loss_rec_sfr: 0.0746 (0.0763) loss_cl: -0.3666 (-0.3668) time: 0.8615 data: 0.0002 max mem: 29859 [17:10:38.640632] Epoch: [301] [ 60/850] eta: 0:12:05 lr: 0.001766 loss: 0.0151 (0.0155) loss_rec_all: 0.0514 (0.0516) loss_rec_sfr: 0.0565 (0.0741) loss_cl: -0.3668 (-0.3667) time: 0.8615 data: 0.0002 max mem: 29859 [17:10:55.900791] Epoch: [301] [ 80/850] eta: 0:11:36 lr: 0.001766 loss: 0.0156 (0.0158) loss_rec_all: 0.0519 (0.0520) loss_rec_sfr: 0.0598 (0.0733) loss_cl: -0.3669 (-0.3668) time: 0.8630 data: 0.0002 max mem: 29859 [17:11:13.137021] Epoch: [301] [100/850] eta: 0:11:12 lr: 0.001766 loss: 0.0177 (0.0163) loss_rec_all: 0.0535 (0.0525) loss_rec_sfr: 0.0817 (0.0748) loss_cl: -0.3672 (-0.3669) time: 0.8618 data: 0.0002 max mem: 29859 [17:11:30.416114] Epoch: [301] [120/850] eta: 0:10:50 lr: 0.001766 loss: 0.0177 (0.0167) loss_rec_all: 0.0540 (0.0529) loss_rec_sfr: 0.0719 (0.0746) loss_cl: -0.3683 (-0.3671) time: 0.8639 data: 0.0002 max mem: 29859 [17:11:47.682272] Epoch: [301] [140/850] eta: 0:10:29 lr: 0.001766 loss: 0.0184 (0.0170) loss_rec_all: 0.0546 (0.0532) loss_rec_sfr: 0.0839 (0.0760) loss_cl: -0.3690 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [17:12:04.970577] Epoch: [301] [160/850] eta: 0:10:10 lr: 0.001766 loss: 0.0174 (0.0172) loss_rec_all: 0.0535 (0.0534) loss_rec_sfr: 0.0833 (0.0762) loss_cl: -0.3685 (-0.3675) time: 0.8644 data: 0.0003 max mem: 29859 [17:12:22.225317] Epoch: [301] [180/850] eta: 0:09:50 lr: 0.001766 loss: 0.0176 (0.0173) loss_rec_all: 0.0538 (0.0535) loss_rec_sfr: 0.0614 (0.0758) loss_cl: -0.3668 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [17:12:39.512774] Epoch: [301] [200/850] eta: 0:09:31 lr: 0.001766 loss: 0.0166 (0.0173) loss_rec_all: 0.0528 (0.0535) loss_rec_sfr: 0.0770 (0.0760) loss_cl: -0.3664 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [17:12:56.746957] Epoch: [301] [220/850] eta: 0:09:13 lr: 0.001766 loss: 0.0157 (0.0173) loss_rec_all: 0.0520 (0.0535) loss_rec_sfr: 0.0554 (0.0753) loss_cl: -0.3663 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [17:13:14.013223] Epoch: [301] [240/850] eta: 0:08:55 lr: 0.001766 loss: 0.0171 (0.0173) loss_rec_all: 0.0531 (0.0535) loss_rec_sfr: 0.0790 (0.0759) loss_cl: -0.3663 (-0.3671) time: 0.8633 data: 0.0002 max mem: 29859 [17:13:31.270577] Epoch: [301] [260/850] eta: 0:08:36 lr: 0.001765 loss: 0.0164 (0.0173) loss_rec_all: 0.0528 (0.0535) loss_rec_sfr: 0.0792 (0.0762) loss_cl: -0.3674 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [17:13:48.550042] Epoch: [301] [280/850] eta: 0:08:18 lr: 0.001765 loss: 0.0154 (0.0173) loss_rec_all: 0.0518 (0.0535) loss_rec_sfr: 0.0728 (0.0765) loss_cl: -0.3684 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [17:14:05.817476] Epoch: [301] [300/850] eta: 0:08:00 lr: 0.001765 loss: 0.0155 (0.0172) loss_rec_all: 0.0520 (0.0534) loss_rec_sfr: 0.0745 (0.0767) loss_cl: -0.3681 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [17:14:23.103030] Epoch: [301] [320/850] eta: 0:07:43 lr: 0.001765 loss: 0.0153 (0.0171) loss_rec_all: 0.0517 (0.0533) loss_rec_sfr: 0.0638 (0.0766) loss_cl: -0.3676 (-0.3673) time: 0.8642 data: 0.0003 max mem: 29859 [17:14:40.341572] Epoch: [301] [340/850] eta: 0:07:25 lr: 0.001765 loss: 0.0167 (0.0171) loss_rec_all: 0.0526 (0.0533) loss_rec_sfr: 0.0764 (0.0764) loss_cl: -0.3670 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [17:14:57.634236] Epoch: [301] [360/850] eta: 0:07:07 lr: 0.001765 loss: 0.0150 (0.0170) loss_rec_all: 0.0512 (0.0532) loss_rec_sfr: 0.0531 (0.0757) loss_cl: -0.3670 (-0.3673) time: 0.8646 data: 0.0003 max mem: 29859 [17:15:14.878724] Epoch: [301] [380/850] eta: 0:06:49 lr: 0.001765 loss: 0.0168 (0.0170) loss_rec_all: 0.0529 (0.0532) loss_rec_sfr: 0.0777 (0.0757) loss_cl: -0.3673 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [17:15:32.179879] Epoch: [301] [400/850] eta: 0:06:32 lr: 0.001765 loss: 0.0160 (0.0170) loss_rec_all: 0.0522 (0.0532) loss_rec_sfr: 0.0620 (0.0759) loss_cl: -0.3674 (-0.3673) time: 0.8650 data: 0.0003 max mem: 29859 [17:15:49.435109] Epoch: [301] [420/850] eta: 0:06:14 lr: 0.001765 loss: 0.0154 (0.0170) loss_rec_all: 0.0518 (0.0532) loss_rec_sfr: 0.0539 (0.0756) loss_cl: -0.3678 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [17:16:06.738971] Epoch: [301] [440/850] eta: 0:05:57 lr: 0.001765 loss: 0.0160 (0.0170) loss_rec_all: 0.0523 (0.0532) loss_rec_sfr: 0.0749 (0.0758) loss_cl: -0.3676 (-0.3673) time: 0.8651 data: 0.0002 max mem: 29859 [17:16:23.977842] Epoch: [301] [460/850] eta: 0:05:39 lr: 0.001764 loss: 0.0161 (0.0170) loss_rec_all: 0.0523 (0.0532) loss_rec_sfr: 0.0598 (0.0757) loss_cl: -0.3670 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [17:16:41.231909] Epoch: [301] [480/850] eta: 0:05:21 lr: 0.001764 loss: 0.0156 (0.0169) loss_rec_all: 0.0518 (0.0531) loss_rec_sfr: 0.0572 (0.0756) loss_cl: -0.3669 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [17:16:58.464751] Epoch: [301] [500/850] eta: 0:05:04 lr: 0.001764 loss: 0.0159 (0.0169) loss_rec_all: 0.0522 (0.0531) loss_rec_sfr: 0.0756 (0.0759) loss_cl: -0.3671 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [17:17:15.747185] Epoch: [301] [520/850] eta: 0:04:46 lr: 0.001764 loss: 0.0165 (0.0169) loss_rec_all: 0.0525 (0.0531) loss_rec_sfr: 0.0637 (0.0759) loss_cl: -0.3674 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [17:17:32.980583] Epoch: [301] [540/850] eta: 0:04:29 lr: 0.001764 loss: 0.0153 (0.0169) loss_rec_all: 0.0514 (0.0531) loss_rec_sfr: 0.0535 (0.0758) loss_cl: -0.3675 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [17:17:50.280843] Epoch: [301] [560/850] eta: 0:04:12 lr: 0.001764 loss: 0.0174 (0.0169) loss_rec_all: 0.0537 (0.0531) loss_rec_sfr: 0.0747 (0.0760) loss_cl: -0.3676 (-0.3673) time: 0.8650 data: 0.0003 max mem: 29859 [17:18:07.555133] Epoch: [301] [580/850] eta: 0:03:54 lr: 0.001764 loss: 0.0161 (0.0169) loss_rec_all: 0.0524 (0.0531) loss_rec_sfr: 0.0562 (0.0759) loss_cl: -0.3677 (-0.3673) time: 0.8637 data: 0.0003 max mem: 29859 [17:18:24.877678] Epoch: [301] [600/850] eta: 0:03:37 lr: 0.001764 loss: 0.0154 (0.0169) loss_rec_all: 0.0516 (0.0531) loss_rec_sfr: 0.0522 (0.0757) loss_cl: -0.3673 (-0.3673) time: 0.8660 data: 0.0003 max mem: 29859 [17:18:42.185439] Epoch: [301] [620/850] eta: 0:03:19 lr: 0.001764 loss: 0.0167 (0.0169) loss_rec_all: 0.0530 (0.0531) loss_rec_sfr: 0.0748 (0.0756) loss_cl: -0.3670 (-0.3673) time: 0.8653 data: 0.0003 max mem: 29859 [17:18:59.459657] Epoch: [301] [640/850] eta: 0:03:02 lr: 0.001763 loss: 0.0156 (0.0168) loss_rec_all: 0.0518 (0.0530) loss_rec_sfr: 0.0540 (0.0755) loss_cl: -0.3670 (-0.3673) time: 0.8636 data: 0.0003 max mem: 29859 [17:19:16.714980] Epoch: [301] [660/850] eta: 0:02:45 lr: 0.001763 loss: 0.0151 (0.0168) loss_rec_all: 0.0513 (0.0530) loss_rec_sfr: 0.0810 (0.0756) loss_cl: -0.3676 (-0.3673) time: 0.8627 data: 0.0003 max mem: 29859 [17:19:34.060627] Epoch: [301] [680/850] eta: 0:02:27 lr: 0.001763 loss: 0.0156 (0.0168) loss_rec_all: 0.0519 (0.0530) loss_rec_sfr: 0.0773 (0.0755) loss_cl: -0.3683 (-0.3673) time: 0.8672 data: 0.0003 max mem: 29859 [17:19:51.292520] Epoch: [301] [700/850] eta: 0:02:10 lr: 0.001763 loss: 0.0151 (0.0168) loss_rec_all: 0.0515 (0.0530) loss_rec_sfr: 0.0546 (0.0752) loss_cl: -0.3679 (-0.3673) time: 0.8615 data: 0.0003 max mem: 29859 [17:20:08.577958] Epoch: [301] [720/850] eta: 0:01:52 lr: 0.001763 loss: 0.0151 (0.0167) loss_rec_all: 0.0516 (0.0529) loss_rec_sfr: 0.0542 (0.0751) loss_cl: -0.3675 (-0.3673) time: 0.8642 data: 0.0003 max mem: 29859 [17:20:25.875637] Epoch: [301] [740/850] eta: 0:01:35 lr: 0.001763 loss: 0.0155 (0.0167) loss_rec_all: 0.0517 (0.0529) loss_rec_sfr: 0.0581 (0.0750) loss_cl: -0.3672 (-0.3673) time: 0.8648 data: 0.0003 max mem: 29859 [17:20:43.179805] Epoch: [301] [760/850] eta: 0:01:18 lr: 0.001763 loss: 0.0155 (0.0167) loss_rec_all: 0.0517 (0.0529) loss_rec_sfr: 0.0601 (0.0749) loss_cl: -0.3672 (-0.3673) time: 0.8652 data: 0.0003 max mem: 29859 [17:21:00.426035] Epoch: [301] [780/850] eta: 0:01:00 lr: 0.001763 loss: 0.0162 (0.0167) loss_rec_all: 0.0522 (0.0529) loss_rec_sfr: 0.0888 (0.0751) loss_cl: -0.3674 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [17:21:17.781976] Epoch: [301] [800/850] eta: 0:00:43 lr: 0.001763 loss: 0.0164 (0.0167) loss_rec_all: 0.0527 (0.0529) loss_rec_sfr: 0.0600 (0.0751) loss_cl: -0.3674 (-0.3673) time: 0.8677 data: 0.0003 max mem: 29859 [17:21:35.031258] Epoch: [301] [820/850] eta: 0:00:26 lr: 0.001763 loss: 0.0152 (0.0167) loss_rec_all: 0.0515 (0.0529) loss_rec_sfr: 0.0589 (0.0749) loss_cl: -0.3677 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [17:21:52.295889] Epoch: [301] [840/850] eta: 0:00:08 lr: 0.001762 loss: 0.0168 (0.0167) loss_rec_all: 0.0530 (0.0529) loss_rec_sfr: 0.0743 (0.0749) loss_cl: -0.3680 (-0.3674) time: 0.8632 data: 0.0006 max mem: 29859 [17:22:00.053070] Epoch: [301] [849/850] eta: 0:00:00 lr: 0.001762 loss: 0.0160 (0.0167) loss_rec_all: 0.0523 (0.0529) loss_rec_sfr: 0.0744 (0.0749) loss_cl: -0.3679 (-0.3674) time: 0.8632 data: 0.0006 max mem: 29859 [17:22:00.191127] Epoch: [301] Total time: 0:12:17 (0.8677 s / it) [17:22:00.197668] Averaged stats: lr: 0.001762 loss: 0.0160 (0.0167) loss_rec_all: 0.0523 (0.0529) loss_rec_sfr: 0.0744 (0.0747) loss_cl: -0.3679 (-0.3673) [17:22:00.230483] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [17:22:08.167945] Epoch: [302] [ 0/850] eta: 1:52:25 lr: 0.001762 loss: 0.0170 (0.0170) loss_rec_all: 0.0534 (0.0534) loss_rec_sfr: 0.0537 (0.0537) loss_cl: -0.3681 (-0.3681) time: 7.9364 data: 7.0817 max mem: 29859 [17:22:25.417595] Epoch: [302] [ 20/850] eta: 0:16:35 lr: 0.001762 loss: 0.0168 (0.0175) loss_rec_all: 0.0529 (0.0537) loss_rec_sfr: 0.0819 (0.0792) loss_cl: -0.3680 (-0.3678) time: 0.8624 data: 0.0003 max mem: 29859 [17:22:42.735660] Epoch: [302] [ 40/850] eta: 0:13:59 lr: 0.001762 loss: 0.0159 (0.0171) loss_rec_all: 0.0522 (0.0532) loss_rec_sfr: 0.0634 (0.0772) loss_cl: -0.3668 (-0.3674) time: 0.8658 data: 0.0003 max mem: 29859 [17:23:00.027090] Epoch: [302] [ 60/850] eta: 0:12:54 lr: 0.001762 loss: 0.0174 (0.0172) loss_rec_all: 0.0534 (0.0534) loss_rec_sfr: 0.0769 (0.0784) loss_cl: -0.3670 (-0.3672) time: 0.8645 data: 0.0004 max mem: 29859 [17:23:17.406582] Epoch: [302] [ 80/850] eta: 0:12:13 lr: 0.001762 loss: 0.0178 (0.0177) loss_rec_all: 0.0539 (0.0539) loss_rec_sfr: 0.0826 (0.0778) loss_cl: -0.3673 (-0.3672) time: 0.8689 data: 0.0004 max mem: 29859 [17:23:34.701546] Epoch: [302] [100/850] eta: 0:11:41 lr: 0.001762 loss: 0.0177 (0.0178) loss_rec_all: 0.0536 (0.0540) loss_rec_sfr: 0.0800 (0.0779) loss_cl: -0.3673 (-0.3672) time: 0.8647 data: 0.0004 max mem: 29859 [17:23:51.979460] Epoch: [302] [120/850] eta: 0:11:14 lr: 0.001762 loss: 0.0190 (0.0180) loss_rec_all: 0.0550 (0.0542) loss_rec_sfr: 0.0932 (0.0802) loss_cl: -0.3672 (-0.3672) time: 0.8638 data: 0.0003 max mem: 29859 [17:24:09.202758] Epoch: [302] [140/850] eta: 0:10:49 lr: 0.001762 loss: 0.0172 (0.0179) loss_rec_all: 0.0535 (0.0541) loss_rec_sfr: 0.0778 (0.0796) loss_cl: -0.3671 (-0.3672) time: 0.8611 data: 0.0003 max mem: 29859 [17:24:26.587792] Epoch: [302] [160/850] eta: 0:10:27 lr: 0.001762 loss: 0.0174 (0.0179) loss_rec_all: 0.0535 (0.0541) loss_rec_sfr: 0.0771 (0.0792) loss_cl: -0.3674 (-0.3672) time: 0.8691 data: 0.0004 max mem: 29859 [17:24:43.835879] Epoch: [302] [180/850] eta: 0:10:05 lr: 0.001761 loss: 0.0146 (0.0177) loss_rec_all: 0.0511 (0.0538) loss_rec_sfr: 0.0768 (0.0787) loss_cl: -0.3675 (-0.3672) time: 0.8624 data: 0.0003 max mem: 29859 [17:25:01.125947] Epoch: [302] [200/850] eta: 0:09:44 lr: 0.001761 loss: 0.0152 (0.0175) loss_rec_all: 0.0513 (0.0537) loss_rec_sfr: 0.0769 (0.0791) loss_cl: -0.3673 (-0.3672) time: 0.8645 data: 0.0002 max mem: 29859 [17:25:18.454123] Epoch: [302] [220/850] eta: 0:09:25 lr: 0.001761 loss: 0.0148 (0.0174) loss_rec_all: 0.0512 (0.0536) loss_rec_sfr: 0.0752 (0.0785) loss_cl: -0.3666 (-0.3672) time: 0.8663 data: 0.0005 max mem: 29859 [17:25:35.761194] Epoch: [302] [240/850] eta: 0:09:05 lr: 0.001761 loss: 0.0153 (0.0173) loss_rec_all: 0.0514 (0.0534) loss_rec_sfr: 0.0634 (0.0782) loss_cl: -0.3667 (-0.3671) time: 0.8653 data: 0.0003 max mem: 29859 [17:25:53.006077] Epoch: [302] [260/850] eta: 0:08:46 lr: 0.001761 loss: 0.0150 (0.0172) loss_rec_all: 0.0513 (0.0533) loss_rec_sfr: 0.0566 (0.0779) loss_cl: -0.3675 (-0.3672) time: 0.8622 data: 0.0003 max mem: 29859 [17:26:10.366891] Epoch: [302] [280/850] eta: 0:08:27 lr: 0.001761 loss: 0.0151 (0.0171) loss_rec_all: 0.0515 (0.0533) loss_rec_sfr: 0.0716 (0.0777) loss_cl: -0.3681 (-0.3672) time: 0.8680 data: 0.0003 max mem: 29859 [17:26:27.639290] Epoch: [302] [300/850] eta: 0:08:08 lr: 0.001761 loss: 0.0152 (0.0170) loss_rec_all: 0.0514 (0.0532) loss_rec_sfr: 0.0606 (0.0770) loss_cl: -0.3679 (-0.3673) time: 0.8636 data: 0.0003 max mem: 29859 [17:26:44.941895] Epoch: [302] [320/850] eta: 0:07:50 lr: 0.001761 loss: 0.0143 (0.0169) loss_rec_all: 0.0503 (0.0531) loss_rec_sfr: 0.0724 (0.0767) loss_cl: -0.3678 (-0.3673) time: 0.8651 data: 0.0003 max mem: 29859 [17:27:02.200973] Epoch: [302] [340/850] eta: 0:07:31 lr: 0.001761 loss: 0.0148 (0.0168) loss_rec_all: 0.0511 (0.0530) loss_rec_sfr: 0.0505 (0.0762) loss_cl: -0.3676 (-0.3673) time: 0.8629 data: 0.0003 max mem: 29859 [17:27:19.536452] Epoch: [302] [360/850] eta: 0:07:13 lr: 0.001761 loss: 0.0156 (0.0167) loss_rec_all: 0.0517 (0.0529) loss_rec_sfr: 0.0597 (0.0762) loss_cl: -0.3676 (-0.3673) time: 0.8667 data: 0.0004 max mem: 29859 [17:27:36.788186] Epoch: [302] [380/850] eta: 0:06:55 lr: 0.001760 loss: 0.0146 (0.0166) loss_rec_all: 0.0506 (0.0528) loss_rec_sfr: 0.0724 (0.0761) loss_cl: -0.3671 (-0.3673) time: 0.8625 data: 0.0003 max mem: 29859 [17:27:54.085719] Epoch: [302] [400/850] eta: 0:06:37 lr: 0.001760 loss: 0.0142 (0.0165) loss_rec_all: 0.0506 (0.0527) loss_rec_sfr: 0.0576 (0.0758) loss_cl: -0.3669 (-0.3673) time: 0.8648 data: 0.0003 max mem: 29859 [17:28:11.377229] Epoch: [302] [420/850] eta: 0:06:19 lr: 0.001760 loss: 0.0166 (0.0166) loss_rec_all: 0.0527 (0.0528) loss_rec_sfr: 0.0783 (0.0759) loss_cl: -0.3673 (-0.3673) time: 0.8645 data: 0.0011 max mem: 29859 [17:28:28.660909] Epoch: [302] [440/850] eta: 0:06:01 lr: 0.001760 loss: 0.0181 (0.0166) loss_rec_all: 0.0540 (0.0528) loss_rec_sfr: 0.0608 (0.0759) loss_cl: -0.3674 (-0.3673) time: 0.8641 data: 0.0003 max mem: 29859 [17:28:45.893577] Epoch: [302] [460/850] eta: 0:05:43 lr: 0.001760 loss: 0.0197 (0.0168) loss_rec_all: 0.0557 (0.0529) loss_rec_sfr: 0.0639 (0.0758) loss_cl: -0.3676 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [17:29:03.178156] Epoch: [302] [480/850] eta: 0:05:25 lr: 0.001760 loss: 0.0196 (0.0169) loss_rec_all: 0.0559 (0.0531) loss_rec_sfr: 0.0645 (0.0760) loss_cl: -0.3670 (-0.3673) time: 0.8642 data: 0.0003 max mem: 29859 [17:29:20.415695] Epoch: [302] [500/850] eta: 0:05:07 lr: 0.001760 loss: 0.0171 (0.0170) loss_rec_all: 0.0533 (0.0531) loss_rec_sfr: 0.0814 (0.0763) loss_cl: -0.3663 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [17:29:37.694535] Epoch: [302] [520/850] eta: 0:04:49 lr: 0.001760 loss: 0.0173 (0.0170) loss_rec_all: 0.0536 (0.0532) loss_rec_sfr: 0.0593 (0.0762) loss_cl: -0.3669 (-0.3672) time: 0.8639 data: 0.0003 max mem: 29859 [17:29:54.928366] Epoch: [302] [540/850] eta: 0:04:31 lr: 0.001760 loss: 0.0172 (0.0170) loss_rec_all: 0.0535 (0.0532) loss_rec_sfr: 0.0792 (0.0765) loss_cl: -0.3676 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [17:30:12.200003] Epoch: [302] [560/850] eta: 0:04:14 lr: 0.001760 loss: 0.0161 (0.0170) loss_rec_all: 0.0523 (0.0532) loss_rec_sfr: 0.0768 (0.0766) loss_cl: -0.3679 (-0.3672) time: 0.8635 data: 0.0002 max mem: 29859 [17:30:29.453813] Epoch: [302] [580/850] eta: 0:03:56 lr: 0.001759 loss: 0.0165 (0.0170) loss_rec_all: 0.0526 (0.0532) loss_rec_sfr: 0.0765 (0.0766) loss_cl: -0.3682 (-0.3673) time: 0.8626 data: 0.0003 max mem: 29859 [17:30:46.734797] Epoch: [302] [600/850] eta: 0:03:38 lr: 0.001759 loss: 0.0149 (0.0170) loss_rec_all: 0.0512 (0.0532) loss_rec_sfr: 0.0542 (0.0762) loss_cl: -0.3681 (-0.3673) time: 0.8640 data: 0.0003 max mem: 29859 [17:31:03.971962] Epoch: [302] [620/850] eta: 0:03:21 lr: 0.001759 loss: 0.0173 (0.0170) loss_rec_all: 0.0534 (0.0532) loss_rec_sfr: 0.0726 (0.0762) loss_cl: -0.3673 (-0.3673) time: 0.8618 data: 0.0003 max mem: 29859 [17:31:21.246978] Epoch: [302] [640/850] eta: 0:03:03 lr: 0.001759 loss: 0.0161 (0.0169) loss_rec_all: 0.0520 (0.0531) loss_rec_sfr: 0.0588 (0.0761) loss_cl: -0.3670 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [17:31:38.472763] Epoch: [302] [660/850] eta: 0:02:46 lr: 0.001759 loss: 0.0171 (0.0170) loss_rec_all: 0.0530 (0.0532) loss_rec_sfr: 0.0749 (0.0761) loss_cl: -0.3671 (-0.3673) time: 0.8612 data: 0.0003 max mem: 29859 [17:31:55.740392] Epoch: [302] [680/850] eta: 0:02:28 lr: 0.001759 loss: 0.0165 (0.0170) loss_rec_all: 0.0528 (0.0532) loss_rec_sfr: 0.0602 (0.0759) loss_cl: -0.3673 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [17:32:12.964448] Epoch: [302] [700/850] eta: 0:02:11 lr: 0.001759 loss: 0.0167 (0.0170) loss_rec_all: 0.0528 (0.0532) loss_rec_sfr: 0.0879 (0.0761) loss_cl: -0.3675 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [17:32:30.235059] Epoch: [302] [720/850] eta: 0:01:53 lr: 0.001759 loss: 0.0177 (0.0170) loss_rec_all: 0.0537 (0.0532) loss_rec_sfr: 0.0829 (0.0762) loss_cl: -0.3673 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [17:32:47.463273] Epoch: [302] [740/850] eta: 0:01:36 lr: 0.001759 loss: 0.0153 (0.0170) loss_rec_all: 0.0515 (0.0532) loss_rec_sfr: 0.0544 (0.0760) loss_cl: -0.3672 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [17:33:04.730842] Epoch: [302] [760/850] eta: 0:01:18 lr: 0.001758 loss: 0.0167 (0.0170) loss_rec_all: 0.0530 (0.0532) loss_rec_sfr: 0.0659 (0.0759) loss_cl: -0.3670 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [17:33:21.953907] Epoch: [302] [780/850] eta: 0:01:01 lr: 0.001758 loss: 0.0150 (0.0169) loss_rec_all: 0.0514 (0.0531) loss_rec_sfr: 0.0538 (0.0756) loss_cl: -0.3672 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [17:33:39.231472] Epoch: [302] [800/850] eta: 0:00:43 lr: 0.001758 loss: 0.0159 (0.0169) loss_rec_all: 0.0520 (0.0531) loss_rec_sfr: 0.0747 (0.0756) loss_cl: -0.3671 (-0.3673) time: 0.8638 data: 0.0003 max mem: 29859 [17:33:56.480858] Epoch: [302] [820/850] eta: 0:00:26 lr: 0.001758 loss: 0.0149 (0.0169) loss_rec_all: 0.0513 (0.0531) loss_rec_sfr: 0.0557 (0.0754) loss_cl: -0.3677 (-0.3673) time: 0.8624 data: 0.0003 max mem: 29859 [17:34:13.770005] Epoch: [302] [840/850] eta: 0:00:08 lr: 0.001758 loss: 0.0159 (0.0169) loss_rec_all: 0.0519 (0.0531) loss_rec_sfr: 0.0783 (0.0755) loss_cl: -0.3677 (-0.3673) time: 0.8644 data: 0.0007 max mem: 29859 [17:34:21.527174] Epoch: [302] [849/850] eta: 0:00:00 lr: 0.001758 loss: 0.0158 (0.0169) loss_rec_all: 0.0519 (0.0531) loss_rec_sfr: 0.0744 (0.0755) loss_cl: -0.3682 (-0.3673) time: 0.8637 data: 0.0007 max mem: 29859 [17:34:21.662230] Epoch: [302] Total time: 0:12:21 (0.8723 s / it) [17:34:21.668326] Averaged stats: lr: 0.001758 loss: 0.0158 (0.0169) loss_rec_all: 0.0519 (0.0531) loss_rec_sfr: 0.0744 (0.0749) loss_cl: -0.3682 (-0.3673) [17:34:21.687402] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [17:34:26.063487] Epoch: [303] [ 0/850] eta: 1:01:59 lr: 0.001758 loss: 0.0181 (0.0181) loss_rec_all: 0.0540 (0.0540) loss_rec_sfr: 0.1129 (0.1129) loss_cl: -0.3669 (-0.3669) time: 4.3754 data: 3.5213 max mem: 29859 [17:34:43.268323] Epoch: [303] [ 20/850] eta: 0:14:12 lr: 0.001758 loss: 0.0147 (0.0159) loss_rec_all: 0.0511 (0.0522) loss_rec_sfr: 0.0550 (0.0727) loss_cl: -0.3674 (-0.3674) time: 0.8602 data: 0.0002 max mem: 29859 [17:35:00.530660] Epoch: [303] [ 40/850] eta: 0:12:47 lr: 0.001758 loss: 0.0147 (0.0159) loss_rec_all: 0.0510 (0.0521) loss_rec_sfr: 0.0749 (0.0735) loss_cl: -0.3673 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [17:35:17.755001] Epoch: [303] [ 60/850] eta: 0:12:06 lr: 0.001758 loss: 0.0155 (0.0161) loss_rec_all: 0.0517 (0.0523) loss_rec_sfr: 0.0576 (0.0717) loss_cl: -0.3671 (-0.3673) time: 0.8611 data: 0.0003 max mem: 29859 [17:35:35.034469] Epoch: [303] [ 80/850] eta: 0:11:37 lr: 0.001758 loss: 0.0144 (0.0161) loss_rec_all: 0.0506 (0.0523) loss_rec_sfr: 0.0606 (0.0717) loss_cl: -0.3672 (-0.3673) time: 0.8639 data: 0.0003 max mem: 29859 [17:35:52.258983] Epoch: [303] [100/850] eta: 0:11:12 lr: 0.001758 loss: 0.0145 (0.0159) loss_rec_all: 0.0505 (0.0521) loss_rec_sfr: 0.0687 (0.0723) loss_cl: -0.3676 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [17:36:09.523927] Epoch: [303] [120/850] eta: 0:10:50 lr: 0.001757 loss: 0.0133 (0.0156) loss_rec_all: 0.0496 (0.0518) loss_rec_sfr: 0.0507 (0.0698) loss_cl: -0.3672 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [17:36:26.760929] Epoch: [303] [140/850] eta: 0:10:29 lr: 0.001757 loss: 0.0156 (0.0157) loss_rec_all: 0.0518 (0.0519) loss_rec_sfr: 0.0583 (0.0703) loss_cl: -0.3676 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [17:36:44.019464] Epoch: [303] [160/850] eta: 0:10:09 lr: 0.001757 loss: 0.0167 (0.0158) loss_rec_all: 0.0528 (0.0520) loss_rec_sfr: 0.0749 (0.0710) loss_cl: -0.3675 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [17:37:01.251587] Epoch: [303] [180/850] eta: 0:09:50 lr: 0.001757 loss: 0.0143 (0.0157) loss_rec_all: 0.0506 (0.0520) loss_rec_sfr: 0.0509 (0.0701) loss_cl: -0.3673 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [17:37:18.506162] Epoch: [303] [200/850] eta: 0:09:31 lr: 0.001757 loss: 0.0152 (0.0157) loss_rec_all: 0.0513 (0.0519) loss_rec_sfr: 0.0610 (0.0710) loss_cl: -0.3670 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [17:37:35.742231] Epoch: [303] [220/850] eta: 0:09:13 lr: 0.001757 loss: 0.0148 (0.0157) loss_rec_all: 0.0509 (0.0519) loss_rec_sfr: 0.0769 (0.0714) loss_cl: -0.3673 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [17:37:52.999282] Epoch: [303] [240/850] eta: 0:08:54 lr: 0.001757 loss: 0.0157 (0.0157) loss_rec_all: 0.0519 (0.0519) loss_rec_sfr: 0.0566 (0.0712) loss_cl: -0.3673 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [17:38:10.255161] Epoch: [303] [260/850] eta: 0:08:36 lr: 0.001757 loss: 0.0151 (0.0157) loss_rec_all: 0.0514 (0.0519) loss_rec_sfr: 0.0730 (0.0714) loss_cl: -0.3674 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [17:38:27.524227] Epoch: [303] [280/850] eta: 0:08:18 lr: 0.001757 loss: 0.0155 (0.0156) loss_rec_all: 0.0518 (0.0519) loss_rec_sfr: 0.0559 (0.0712) loss_cl: -0.3674 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [17:38:44.755694] Epoch: [303] [300/850] eta: 0:08:00 lr: 0.001756 loss: 0.0151 (0.0157) loss_rec_all: 0.0516 (0.0519) loss_rec_sfr: 0.0587 (0.0715) loss_cl: -0.3675 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [17:39:02.012411] Epoch: [303] [320/850] eta: 0:07:42 lr: 0.001756 loss: 0.0155 (0.0157) loss_rec_all: 0.0515 (0.0519) loss_rec_sfr: 0.0587 (0.0713) loss_cl: -0.3676 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [17:39:19.268726] Epoch: [303] [340/850] eta: 0:07:25 lr: 0.001756 loss: 0.0155 (0.0157) loss_rec_all: 0.0518 (0.0520) loss_rec_sfr: 0.0542 (0.0707) loss_cl: -0.3676 (-0.3673) time: 0.8627 data: 0.0003 max mem: 29859 [17:39:36.556613] Epoch: [303] [360/850] eta: 0:07:07 lr: 0.001756 loss: 0.0166 (0.0158) loss_rec_all: 0.0529 (0.0521) loss_rec_sfr: 0.0732 (0.0708) loss_cl: -0.3671 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [17:39:53.798766] Epoch: [303] [380/850] eta: 0:06:49 lr: 0.001756 loss: 0.0160 (0.0158) loss_rec_all: 0.0519 (0.0521) loss_rec_sfr: 0.0608 (0.0711) loss_cl: -0.3670 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [17:40:11.065246] Epoch: [303] [400/850] eta: 0:06:32 lr: 0.001756 loss: 0.0156 (0.0159) loss_rec_all: 0.0518 (0.0521) loss_rec_sfr: 0.0771 (0.0715) loss_cl: -0.3670 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [17:40:28.307693] Epoch: [303] [420/850] eta: 0:06:14 lr: 0.001756 loss: 0.0172 (0.0159) loss_rec_all: 0.0536 (0.0522) loss_rec_sfr: 0.0764 (0.0716) loss_cl: -0.3676 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [17:40:45.575284] Epoch: [303] [440/850] eta: 0:05:56 lr: 0.001756 loss: 0.0156 (0.0160) loss_rec_all: 0.0521 (0.0522) loss_rec_sfr: 0.0570 (0.0714) loss_cl: -0.3677 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [17:41:02.793907] Epoch: [303] [460/850] eta: 0:05:39 lr: 0.001756 loss: 0.0168 (0.0160) loss_rec_all: 0.0530 (0.0523) loss_rec_sfr: 0.0718 (0.0717) loss_cl: -0.3681 (-0.3673) time: 0.8609 data: 0.0002 max mem: 29859 [17:41:20.062254] Epoch: [303] [480/850] eta: 0:05:21 lr: 0.001756 loss: 0.0162 (0.0161) loss_rec_all: 0.0524 (0.0523) loss_rec_sfr: 0.0723 (0.0719) loss_cl: -0.3679 (-0.3674) time: 0.8634 data: 0.0003 max mem: 29859 [17:41:37.275329] Epoch: [303] [500/850] eta: 0:05:04 lr: 0.001755 loss: 0.0150 (0.0161) loss_rec_all: 0.0514 (0.0523) loss_rec_sfr: 0.0613 (0.0721) loss_cl: -0.3674 (-0.3674) time: 0.8606 data: 0.0002 max mem: 29859 [17:41:54.550218] Epoch: [303] [520/850] eta: 0:04:46 lr: 0.001755 loss: 0.0167 (0.0161) loss_rec_all: 0.0529 (0.0523) loss_rec_sfr: 0.0700 (0.0721) loss_cl: -0.3672 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [17:42:11.770882] Epoch: [303] [540/850] eta: 0:04:29 lr: 0.001755 loss: 0.0163 (0.0161) loss_rec_all: 0.0524 (0.0523) loss_rec_sfr: 0.0767 (0.0723) loss_cl: -0.3673 (-0.3673) time: 0.8610 data: 0.0002 max mem: 29859 [17:42:29.045017] Epoch: [303] [560/850] eta: 0:04:11 lr: 0.001755 loss: 0.0150 (0.0161) loss_rec_all: 0.0515 (0.0523) loss_rec_sfr: 0.0731 (0.0723) loss_cl: -0.3676 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [17:42:46.277159] Epoch: [303] [580/850] eta: 0:03:54 lr: 0.001755 loss: 0.0148 (0.0161) loss_rec_all: 0.0513 (0.0523) loss_rec_sfr: 0.0753 (0.0725) loss_cl: -0.3680 (-0.3674) time: 0.8616 data: 0.0002 max mem: 29859 [17:43:03.544154] Epoch: [303] [600/850] eta: 0:03:37 lr: 0.001755 loss: 0.0153 (0.0161) loss_rec_all: 0.0513 (0.0523) loss_rec_sfr: 0.0758 (0.0725) loss_cl: -0.3672 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [17:43:20.777461] Epoch: [303] [620/850] eta: 0:03:19 lr: 0.001755 loss: 0.0157 (0.0161) loss_rec_all: 0.0519 (0.0523) loss_rec_sfr: 0.0615 (0.0725) loss_cl: -0.3671 (-0.3674) time: 0.8616 data: 0.0002 max mem: 29859 [17:43:38.055001] Epoch: [303] [640/850] eta: 0:03:02 lr: 0.001755 loss: 0.0168 (0.0161) loss_rec_all: 0.0531 (0.0524) loss_rec_sfr: 0.0625 (0.0725) loss_cl: -0.3671 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [17:43:55.285394] Epoch: [303] [660/850] eta: 0:02:44 lr: 0.001755 loss: 0.0156 (0.0162) loss_rec_all: 0.0519 (0.0524) loss_rec_sfr: 0.0756 (0.0725) loss_cl: -0.3671 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [17:44:12.578332] Epoch: [303] [680/850] eta: 0:02:27 lr: 0.001754 loss: 0.0159 (0.0162) loss_rec_all: 0.0522 (0.0524) loss_rec_sfr: 0.0586 (0.0726) loss_cl: -0.3673 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [17:44:29.818457] Epoch: [303] [700/850] eta: 0:02:10 lr: 0.001754 loss: 0.0155 (0.0162) loss_rec_all: 0.0517 (0.0524) loss_rec_sfr: 0.0563 (0.0725) loss_cl: -0.3677 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [17:44:47.096343] Epoch: [303] [720/850] eta: 0:01:52 lr: 0.001754 loss: 0.0151 (0.0161) loss_rec_all: 0.0514 (0.0524) loss_rec_sfr: 0.0572 (0.0725) loss_cl: -0.3677 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [17:45:04.338892] Epoch: [303] [740/850] eta: 0:01:35 lr: 0.001754 loss: 0.0159 (0.0162) loss_rec_all: 0.0519 (0.0524) loss_rec_sfr: 0.0722 (0.0726) loss_cl: -0.3674 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [17:45:21.609577] Epoch: [303] [760/850] eta: 0:01:18 lr: 0.001754 loss: 0.0163 (0.0162) loss_rec_all: 0.0522 (0.0524) loss_rec_sfr: 0.0745 (0.0727) loss_cl: -0.3673 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [17:45:38.869268] Epoch: [303] [780/850] eta: 0:01:00 lr: 0.001754 loss: 0.0160 (0.0162) loss_rec_all: 0.0520 (0.0524) loss_rec_sfr: 0.0687 (0.0727) loss_cl: -0.3672 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [17:45:56.144752] Epoch: [303] [800/850] eta: 0:00:43 lr: 0.001754 loss: 0.0158 (0.0162) loss_rec_all: 0.0521 (0.0524) loss_rec_sfr: 0.0615 (0.0727) loss_cl: -0.3673 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [17:46:13.399461] Epoch: [303] [820/850] eta: 0:00:26 lr: 0.001754 loss: 0.0167 (0.0162) loss_rec_all: 0.0529 (0.0524) loss_rec_sfr: 0.0577 (0.0727) loss_cl: -0.3679 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [17:46:30.680210] Epoch: [303] [840/850] eta: 0:00:08 lr: 0.001754 loss: 0.0167 (0.0162) loss_rec_all: 0.0530 (0.0524) loss_rec_sfr: 0.0739 (0.0727) loss_cl: -0.3675 (-0.3674) time: 0.8640 data: 0.0005 max mem: 29859 [17:46:38.435385] Epoch: [303] [849/850] eta: 0:00:00 lr: 0.001754 loss: 0.0168 (0.0162) loss_rec_all: 0.0531 (0.0525) loss_rec_sfr: 0.0751 (0.0728) loss_cl: -0.3675 (-0.3674) time: 0.8633 data: 0.0005 max mem: 29859 [17:46:38.575540] Epoch: [303] Total time: 0:12:16 (0.8669 s / it) [17:46:38.578300] Averaged stats: lr: 0.001754 loss: 0.0168 (0.0163) loss_rec_all: 0.0531 (0.0525) loss_rec_sfr: 0.0751 (0.0734) loss_cl: -0.3675 (-0.3673) [17:46:38.590746] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [17:46:43.035183] Epoch: [304] [ 0/850] eta: 1:02:56 lr: 0.001754 loss: 0.0148 (0.0148) loss_rec_all: 0.0511 (0.0511) loss_rec_sfr: 0.0523 (0.0523) loss_cl: -0.3669 (-0.3669) time: 4.4434 data: 3.4306 max mem: 29859 [17:47:00.252714] Epoch: [304] [ 20/850] eta: 0:14:16 lr: 0.001754 loss: 0.0144 (0.0156) loss_rec_all: 0.0507 (0.0519) loss_rec_sfr: 0.0532 (0.0681) loss_cl: -0.3675 (-0.3673) time: 0.8608 data: 0.0002 max mem: 29859 [17:47:17.520772] Epoch: [304] [ 40/850] eta: 0:12:49 lr: 0.001753 loss: 0.0150 (0.0156) loss_rec_all: 0.0510 (0.0518) loss_rec_sfr: 0.0749 (0.0724) loss_cl: -0.3672 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [17:47:34.775654] Epoch: [304] [ 60/850] eta: 0:12:07 lr: 0.001753 loss: 0.0143 (0.0154) loss_rec_all: 0.0506 (0.0516) loss_rec_sfr: 0.0526 (0.0713) loss_cl: -0.3666 (-0.3671) time: 0.8627 data: 0.0003 max mem: 29859 [17:47:52.047106] Epoch: [304] [ 80/850] eta: 0:11:38 lr: 0.001753 loss: 0.0153 (0.0157) loss_rec_all: 0.0515 (0.0519) loss_rec_sfr: 0.0737 (0.0731) loss_cl: -0.3663 (-0.3669) time: 0.8635 data: 0.0002 max mem: 29859 [17:48:09.294683] Epoch: [304] [100/850] eta: 0:11:13 lr: 0.001753 loss: 0.0156 (0.0160) loss_rec_all: 0.0519 (0.0521) loss_rec_sfr: 0.0581 (0.0722) loss_cl: -0.3666 (-0.3668) time: 0.8623 data: 0.0002 max mem: 29859 [17:48:26.579245] Epoch: [304] [120/850] eta: 0:10:51 lr: 0.001753 loss: 0.0166 (0.0161) loss_rec_all: 0.0529 (0.0523) loss_rec_sfr: 0.0767 (0.0734) loss_cl: -0.3673 (-0.3669) time: 0.8642 data: 0.0002 max mem: 29859 [17:48:43.829037] Epoch: [304] [140/850] eta: 0:10:30 lr: 0.001753 loss: 0.0153 (0.0161) loss_rec_all: 0.0517 (0.0523) loss_rec_sfr: 0.0559 (0.0735) loss_cl: -0.3676 (-0.3670) time: 0.8624 data: 0.0002 max mem: 29859 [17:49:01.108432] Epoch: [304] [160/850] eta: 0:10:10 lr: 0.001753 loss: 0.0154 (0.0161) loss_rec_all: 0.0516 (0.0523) loss_rec_sfr: 0.0752 (0.0738) loss_cl: -0.3679 (-0.3671) time: 0.8639 data: 0.0002 max mem: 29859 [17:49:18.371133] Epoch: [304] [180/850] eta: 0:09:51 lr: 0.001753 loss: 0.0147 (0.0160) loss_rec_all: 0.0511 (0.0523) loss_rec_sfr: 0.0527 (0.0732) loss_cl: -0.3677 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [17:49:35.665735] Epoch: [304] [200/850] eta: 0:09:32 lr: 0.001753 loss: 0.0147 (0.0160) loss_rec_all: 0.0510 (0.0523) loss_rec_sfr: 0.0731 (0.0731) loss_cl: -0.3679 (-0.3672) time: 0.8647 data: 0.0002 max mem: 29859 [17:49:52.912908] Epoch: [304] [220/850] eta: 0:09:13 lr: 0.001752 loss: 0.0167 (0.0162) loss_rec_all: 0.0530 (0.0524) loss_rec_sfr: 0.0564 (0.0726) loss_cl: -0.3671 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [17:50:10.202446] Epoch: [304] [240/850] eta: 0:08:55 lr: 0.001752 loss: 0.0181 (0.0166) loss_rec_all: 0.0543 (0.0529) loss_rec_sfr: 0.0860 (0.0735) loss_cl: -0.3675 (-0.3672) time: 0.8644 data: 0.0002 max mem: 29859 [17:50:27.447870] Epoch: [304] [260/850] eta: 0:08:37 lr: 0.001752 loss: 0.0179 (0.0168) loss_rec_all: 0.0543 (0.0530) loss_rec_sfr: 0.0853 (0.0743) loss_cl: -0.3682 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [17:50:44.755853] Epoch: [304] [280/850] eta: 0:08:19 lr: 0.001752 loss: 0.0163 (0.0169) loss_rec_all: 0.0524 (0.0531) loss_rec_sfr: 0.0569 (0.0742) loss_cl: -0.3683 (-0.3674) time: 0.8653 data: 0.0002 max mem: 29859 [17:51:01.999839] Epoch: [304] [300/850] eta: 0:08:01 lr: 0.001752 loss: 0.0170 (0.0169) loss_rec_all: 0.0530 (0.0531) loss_rec_sfr: 0.0604 (0.0740) loss_cl: -0.3674 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [17:51:19.298530] Epoch: [304] [320/850] eta: 0:07:43 lr: 0.001752 loss: 0.0160 (0.0169) loss_rec_all: 0.0522 (0.0531) loss_rec_sfr: 0.0540 (0.0737) loss_cl: -0.3668 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [17:51:36.543167] Epoch: [304] [340/850] eta: 0:07:25 lr: 0.001752 loss: 0.0171 (0.0169) loss_rec_all: 0.0532 (0.0532) loss_rec_sfr: 0.0772 (0.0739) loss_cl: -0.3668 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [17:51:53.835628] Epoch: [304] [360/850] eta: 0:07:07 lr: 0.001752 loss: 0.0153 (0.0169) loss_rec_all: 0.0517 (0.0531) loss_rec_sfr: 0.0571 (0.0739) loss_cl: -0.3669 (-0.3673) time: 0.8646 data: 0.0003 max mem: 29859 [17:52:11.084929] Epoch: [304] [380/850] eta: 0:06:50 lr: 0.001752 loss: 0.0160 (0.0168) loss_rec_all: 0.0521 (0.0530) loss_rec_sfr: 0.0734 (0.0739) loss_cl: -0.3672 (-0.3673) time: 0.8624 data: 0.0003 max mem: 29859 [17:52:28.357429] Epoch: [304] [400/850] eta: 0:06:32 lr: 0.001752 loss: 0.0155 (0.0168) loss_rec_all: 0.0517 (0.0530) loss_rec_sfr: 0.0566 (0.0738) loss_cl: -0.3674 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [17:52:45.621337] Epoch: [304] [420/850] eta: 0:06:14 lr: 0.001751 loss: 0.0152 (0.0167) loss_rec_all: 0.0515 (0.0529) loss_rec_sfr: 0.0745 (0.0740) loss_cl: -0.3672 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [17:53:02.901362] Epoch: [304] [440/850] eta: 0:05:57 lr: 0.001751 loss: 0.0150 (0.0167) loss_rec_all: 0.0511 (0.0529) loss_rec_sfr: 0.0740 (0.0739) loss_cl: -0.3672 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [17:53:20.170520] Epoch: [304] [460/850] eta: 0:05:39 lr: 0.001751 loss: 0.0146 (0.0166) loss_rec_all: 0.0509 (0.0529) loss_rec_sfr: 0.0586 (0.0738) loss_cl: -0.3666 (-0.3672) time: 0.8634 data: 0.0003 max mem: 29859 [17:53:37.439614] Epoch: [304] [480/850] eta: 0:05:22 lr: 0.001751 loss: 0.0164 (0.0166) loss_rec_all: 0.0524 (0.0528) loss_rec_sfr: 0.0781 (0.0741) loss_cl: -0.3668 (-0.3672) time: 0.8634 data: 0.0002 max mem: 29859 [17:53:54.682233] Epoch: [304] [500/850] eta: 0:05:04 lr: 0.001751 loss: 0.0149 (0.0166) loss_rec_all: 0.0510 (0.0528) loss_rec_sfr: 0.0725 (0.0740) loss_cl: -0.3670 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [17:54:11.984459] Epoch: [304] [520/850] eta: 0:04:47 lr: 0.001751 loss: 0.0170 (0.0167) loss_rec_all: 0.0534 (0.0529) loss_rec_sfr: 0.0780 (0.0740) loss_cl: -0.3680 (-0.3672) time: 0.8651 data: 0.0002 max mem: 29859 [17:54:29.219783] Epoch: [304] [540/850] eta: 0:04:29 lr: 0.001751 loss: 0.0165 (0.0167) loss_rec_all: 0.0526 (0.0529) loss_rec_sfr: 0.0837 (0.0742) loss_cl: -0.3685 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [17:54:46.542728] Epoch: [304] [560/850] eta: 0:04:12 lr: 0.001751 loss: 0.0162 (0.0167) loss_rec_all: 0.0526 (0.0529) loss_rec_sfr: 0.0617 (0.0742) loss_cl: -0.3681 (-0.3673) time: 0.8661 data: 0.0002 max mem: 29859 [17:55:03.793028] Epoch: [304] [580/850] eta: 0:03:54 lr: 0.001751 loss: 0.0172 (0.0168) loss_rec_all: 0.0535 (0.0530) loss_rec_sfr: 0.0671 (0.0742) loss_cl: -0.3675 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [17:55:21.099879] Epoch: [304] [600/850] eta: 0:03:37 lr: 0.001751 loss: 0.0176 (0.0168) loss_rec_all: 0.0536 (0.0530) loss_rec_sfr: 0.0599 (0.0740) loss_cl: -0.3671 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [17:55:38.353283] Epoch: [304] [620/850] eta: 0:03:19 lr: 0.001750 loss: 0.0167 (0.0168) loss_rec_all: 0.0529 (0.0530) loss_rec_sfr: 0.0709 (0.0742) loss_cl: -0.3670 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [17:55:55.645522] Epoch: [304] [640/850] eta: 0:03:02 lr: 0.001750 loss: 0.0168 (0.0168) loss_rec_all: 0.0530 (0.0530) loss_rec_sfr: 0.0619 (0.0743) loss_cl: -0.3677 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [17:56:12.902334] Epoch: [304] [660/850] eta: 0:02:45 lr: 0.001750 loss: 0.0169 (0.0168) loss_rec_all: 0.0532 (0.0530) loss_rec_sfr: 0.0654 (0.0743) loss_cl: -0.3678 (-0.3673) time: 0.8628 data: 0.0003 max mem: 29859 [17:56:30.188282] Epoch: [304] [680/850] eta: 0:02:27 lr: 0.001750 loss: 0.0169 (0.0169) loss_rec_all: 0.0533 (0.0531) loss_rec_sfr: 0.0754 (0.0743) loss_cl: -0.3673 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [17:56:47.449938] Epoch: [304] [700/850] eta: 0:02:10 lr: 0.001750 loss: 0.0157 (0.0169) loss_rec_all: 0.0519 (0.0531) loss_rec_sfr: 0.0634 (0.0743) loss_cl: -0.3670 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [17:57:04.732111] Epoch: [304] [720/850] eta: 0:01:52 lr: 0.001750 loss: 0.0156 (0.0168) loss_rec_all: 0.0519 (0.0530) loss_rec_sfr: 0.0764 (0.0744) loss_cl: -0.3673 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [17:57:21.988934] Epoch: [304] [740/850] eta: 0:01:35 lr: 0.001750 loss: 0.0148 (0.0168) loss_rec_all: 0.0512 (0.0530) loss_rec_sfr: 0.0551 (0.0742) loss_cl: -0.3671 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [17:57:39.270469] Epoch: [304] [760/850] eta: 0:01:18 lr: 0.001750 loss: 0.0157 (0.0168) loss_rec_all: 0.0518 (0.0530) loss_rec_sfr: 0.0819 (0.0744) loss_cl: -0.3666 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [17:57:56.524204] Epoch: [304] [780/850] eta: 0:01:00 lr: 0.001750 loss: 0.0152 (0.0167) loss_rec_all: 0.0516 (0.0529) loss_rec_sfr: 0.0722 (0.0743) loss_cl: -0.3676 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [17:58:13.801918] Epoch: [304] [800/850] eta: 0:00:43 lr: 0.001749 loss: 0.0174 (0.0168) loss_rec_all: 0.0536 (0.0530) loss_rec_sfr: 0.0570 (0.0741) loss_cl: -0.3676 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [17:58:31.047055] Epoch: [304] [820/850] eta: 0:00:26 lr: 0.001749 loss: 0.0186 (0.0168) loss_rec_all: 0.0549 (0.0530) loss_rec_sfr: 0.0891 (0.0744) loss_cl: -0.3674 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [17:58:48.326893] Epoch: [304] [840/850] eta: 0:00:08 lr: 0.001749 loss: 0.0169 (0.0168) loss_rec_all: 0.0530 (0.0530) loss_rec_sfr: 0.0646 (0.0745) loss_cl: -0.3673 (-0.3673) time: 0.8639 data: 0.0005 max mem: 29859 [17:58:56.080731] Epoch: [304] [849/850] eta: 0:00:00 lr: 0.001749 loss: 0.0164 (0.0168) loss_rec_all: 0.0526 (0.0530) loss_rec_sfr: 0.0584 (0.0744) loss_cl: -0.3678 (-0.3673) time: 0.8632 data: 0.0004 max mem: 29859 [17:58:56.199961] Epoch: [304] Total time: 0:12:17 (0.8678 s / it) [17:58:56.203223] Averaged stats: lr: 0.001749 loss: 0.0164 (0.0168) loss_rec_all: 0.0526 (0.0530) loss_rec_sfr: 0.0584 (0.0752) loss_cl: -0.3678 (-0.3673) [17:58:56.215789] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [17:59:00.183726] Epoch: [305] [ 0/850] eta: 0:56:11 lr: 0.001749 loss: 0.0154 (0.0154) loss_rec_all: 0.0519 (0.0519) loss_rec_sfr: 0.0532 (0.0532) loss_cl: -0.3681 (-0.3681) time: 3.9670 data: 2.8179 max mem: 29859 [17:59:17.394721] Epoch: [305] [ 20/850] eta: 0:13:56 lr: 0.001749 loss: 0.0165 (0.0172) loss_rec_all: 0.0527 (0.0534) loss_rec_sfr: 0.0780 (0.0762) loss_cl: -0.3674 (-0.3673) time: 0.8605 data: 0.0002 max mem: 29859 [17:59:34.655693] Epoch: [305] [ 40/850] eta: 0:12:39 lr: 0.001749 loss: 0.0154 (0.0167) loss_rec_all: 0.0518 (0.0529) loss_rec_sfr: 0.0808 (0.0757) loss_cl: -0.3670 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [17:59:51.918698] Epoch: [305] [ 60/850] eta: 0:12:01 lr: 0.001749 loss: 0.0154 (0.0165) loss_rec_all: 0.0517 (0.0527) loss_rec_sfr: 0.0536 (0.0733) loss_cl: -0.3668 (-0.3671) time: 0.8631 data: 0.0002 max mem: 29859 [18:00:09.187787] Epoch: [305] [ 80/850] eta: 0:11:33 lr: 0.001749 loss: 0.0141 (0.0163) loss_rec_all: 0.0504 (0.0525) loss_rec_sfr: 0.0519 (0.0715) loss_cl: -0.3668 (-0.3670) time: 0.8634 data: 0.0002 max mem: 29859 [18:00:26.428566] Epoch: [305] [100/850] eta: 0:11:09 lr: 0.001749 loss: 0.0147 (0.0161) loss_rec_all: 0.0511 (0.0523) loss_rec_sfr: 0.0802 (0.0733) loss_cl: -0.3674 (-0.3671) time: 0.8620 data: 0.0002 max mem: 29859 [18:00:43.695639] Epoch: [305] [120/850] eta: 0:10:48 lr: 0.001749 loss: 0.0145 (0.0159) loss_rec_all: 0.0507 (0.0521) loss_rec_sfr: 0.0765 (0.0736) loss_cl: -0.3675 (-0.3671) time: 0.8633 data: 0.0002 max mem: 29859 [18:01:00.943455] Epoch: [305] [140/850] eta: 0:10:28 lr: 0.001748 loss: 0.0144 (0.0158) loss_rec_all: 0.0508 (0.0521) loss_rec_sfr: 0.0560 (0.0729) loss_cl: -0.3677 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [18:01:18.212027] Epoch: [305] [160/850] eta: 0:10:08 lr: 0.001748 loss: 0.0147 (0.0158) loss_rec_all: 0.0508 (0.0520) loss_rec_sfr: 0.0558 (0.0722) loss_cl: -0.3677 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [18:01:35.450296] Epoch: [305] [180/850] eta: 0:09:49 lr: 0.001748 loss: 0.0140 (0.0157) loss_rec_all: 0.0503 (0.0520) loss_rec_sfr: 0.0534 (0.0719) loss_cl: -0.3675 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [18:01:52.762974] Epoch: [305] [200/850] eta: 0:09:30 lr: 0.001748 loss: 0.0158 (0.0158) loss_rec_all: 0.0519 (0.0520) loss_rec_sfr: 0.0730 (0.0723) loss_cl: -0.3670 (-0.3673) time: 0.8656 data: 0.0002 max mem: 29859 [18:02:10.005194] Epoch: [305] [220/850] eta: 0:09:12 lr: 0.001748 loss: 0.0166 (0.0158) loss_rec_all: 0.0526 (0.0521) loss_rec_sfr: 0.0607 (0.0725) loss_cl: -0.3671 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [18:02:27.300106] Epoch: [305] [240/850] eta: 0:08:54 lr: 0.001748 loss: 0.0150 (0.0158) loss_rec_all: 0.0513 (0.0520) loss_rec_sfr: 0.0557 (0.0719) loss_cl: -0.3680 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [18:02:44.551144] Epoch: [305] [260/850] eta: 0:08:36 lr: 0.001748 loss: 0.0151 (0.0158) loss_rec_all: 0.0515 (0.0520) loss_rec_sfr: 0.0556 (0.0716) loss_cl: -0.3676 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [18:03:01.845560] Epoch: [305] [280/850] eta: 0:08:18 lr: 0.001748 loss: 0.0160 (0.0158) loss_rec_all: 0.0523 (0.0521) loss_rec_sfr: 0.0636 (0.0717) loss_cl: -0.3679 (-0.3674) time: 0.8647 data: 0.0002 max mem: 29859 [18:03:19.081063] Epoch: [305] [300/850] eta: 0:08:00 lr: 0.001748 loss: 0.0148 (0.0158) loss_rec_all: 0.0512 (0.0521) loss_rec_sfr: 0.0759 (0.0719) loss_cl: -0.3677 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [18:03:36.381142] Epoch: [305] [320/850] eta: 0:07:42 lr: 0.001748 loss: 0.0151 (0.0158) loss_rec_all: 0.0511 (0.0520) loss_rec_sfr: 0.0750 (0.0724) loss_cl: -0.3671 (-0.3674) time: 0.8650 data: 0.0002 max mem: 29859 [18:03:53.604323] Epoch: [305] [340/850] eta: 0:07:24 lr: 0.001747 loss: 0.0155 (0.0158) loss_rec_all: 0.0515 (0.0520) loss_rec_sfr: 0.0566 (0.0726) loss_cl: -0.3663 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [18:04:10.906210] Epoch: [305] [360/850] eta: 0:07:07 lr: 0.001747 loss: 0.0154 (0.0158) loss_rec_all: 0.0515 (0.0520) loss_rec_sfr: 0.0597 (0.0731) loss_cl: -0.3664 (-0.3673) time: 0.8650 data: 0.0002 max mem: 29859 [18:04:28.154258] Epoch: [305] [380/850] eta: 0:06:49 lr: 0.001747 loss: 0.0148 (0.0157) loss_rec_all: 0.0511 (0.0520) loss_rec_sfr: 0.0602 (0.0730) loss_cl: -0.3671 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [18:04:45.447384] Epoch: [305] [400/850] eta: 0:06:31 lr: 0.001747 loss: 0.0152 (0.0157) loss_rec_all: 0.0515 (0.0519) loss_rec_sfr: 0.0575 (0.0727) loss_cl: -0.3671 (-0.3672) time: 0.8646 data: 0.0002 max mem: 29859 [18:05:02.703958] Epoch: [305] [420/850] eta: 0:06:14 lr: 0.001747 loss: 0.0166 (0.0158) loss_rec_all: 0.0527 (0.0520) loss_rec_sfr: 0.0658 (0.0729) loss_cl: -0.3678 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [18:05:19.980672] Epoch: [305] [440/850] eta: 0:05:56 lr: 0.001747 loss: 0.0165 (0.0158) loss_rec_all: 0.0525 (0.0520) loss_rec_sfr: 0.0642 (0.0728) loss_cl: -0.3680 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [18:05:37.230038] Epoch: [305] [460/850] eta: 0:05:39 lr: 0.001747 loss: 0.0145 (0.0158) loss_rec_all: 0.0509 (0.0520) loss_rec_sfr: 0.0510 (0.0723) loss_cl: -0.3685 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [18:05:54.501219] Epoch: [305] [480/850] eta: 0:05:21 lr: 0.001747 loss: 0.0151 (0.0158) loss_rec_all: 0.0514 (0.0521) loss_rec_sfr: 0.0654 (0.0723) loss_cl: -0.3679 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [18:06:11.755081] Epoch: [305] [500/850] eta: 0:05:04 lr: 0.001747 loss: 0.0152 (0.0158) loss_rec_all: 0.0513 (0.0521) loss_rec_sfr: 0.0714 (0.0722) loss_cl: -0.3679 (-0.3674) time: 0.8626 data: 0.0003 max mem: 29859 [18:06:29.027810] Epoch: [305] [520/850] eta: 0:04:46 lr: 0.001747 loss: 0.0150 (0.0158) loss_rec_all: 0.0512 (0.0520) loss_rec_sfr: 0.0589 (0.0723) loss_cl: -0.3674 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [18:06:46.263257] Epoch: [305] [540/850] eta: 0:04:29 lr: 0.001746 loss: 0.0161 (0.0158) loss_rec_all: 0.0523 (0.0521) loss_rec_sfr: 0.0561 (0.0722) loss_cl: -0.3678 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [18:07:03.567841] Epoch: [305] [560/850] eta: 0:04:11 lr: 0.001746 loss: 0.0152 (0.0158) loss_rec_all: 0.0515 (0.0521) loss_rec_sfr: 0.0541 (0.0719) loss_cl: -0.3673 (-0.3674) time: 0.8652 data: 0.0002 max mem: 29859 [18:07:20.818393] Epoch: [305] [580/850] eta: 0:03:54 lr: 0.001746 loss: 0.0155 (0.0159) loss_rec_all: 0.0518 (0.0521) loss_rec_sfr: 0.0768 (0.0720) loss_cl: -0.3669 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [18:07:38.122735] Epoch: [305] [600/850] eta: 0:03:37 lr: 0.001746 loss: 0.0157 (0.0159) loss_rec_all: 0.0517 (0.0521) loss_rec_sfr: 0.0767 (0.0723) loss_cl: -0.3672 (-0.3674) time: 0.8652 data: 0.0002 max mem: 29859 [18:07:55.367697] Epoch: [305] [620/850] eta: 0:03:19 lr: 0.001746 loss: 0.0159 (0.0159) loss_rec_all: 0.0519 (0.0521) loss_rec_sfr: 0.0761 (0.0726) loss_cl: -0.3672 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [18:08:12.661664] Epoch: [305] [640/850] eta: 0:03:02 lr: 0.001746 loss: 0.0158 (0.0159) loss_rec_all: 0.0521 (0.0521) loss_rec_sfr: 0.0551 (0.0726) loss_cl: -0.3665 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [18:08:29.906548] Epoch: [305] [660/850] eta: 0:02:44 lr: 0.001746 loss: 0.0153 (0.0159) loss_rec_all: 0.0513 (0.0521) loss_rec_sfr: 0.0630 (0.0726) loss_cl: -0.3673 (-0.3673) time: 0.8622 data: 0.0003 max mem: 29859 [18:08:47.190241] Epoch: [305] [680/850] eta: 0:02:27 lr: 0.001746 loss: 0.0169 (0.0159) loss_rec_all: 0.0527 (0.0522) loss_rec_sfr: 0.0733 (0.0727) loss_cl: -0.3670 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [18:09:04.429551] Epoch: [305] [700/850] eta: 0:02:10 lr: 0.001746 loss: 0.0173 (0.0160) loss_rec_all: 0.0533 (0.0522) loss_rec_sfr: 0.0768 (0.0729) loss_cl: -0.3667 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [18:09:21.721131] Epoch: [305] [720/850] eta: 0:01:52 lr: 0.001745 loss: 0.0148 (0.0160) loss_rec_all: 0.0511 (0.0522) loss_rec_sfr: 0.0553 (0.0726) loss_cl: -0.3672 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [18:09:38.957311] Epoch: [305] [740/850] eta: 0:01:35 lr: 0.001745 loss: 0.0169 (0.0160) loss_rec_all: 0.0531 (0.0522) loss_rec_sfr: 0.0584 (0.0726) loss_cl: -0.3676 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [18:09:56.251900] Epoch: [305] [760/850] eta: 0:01:18 lr: 0.001745 loss: 0.0161 (0.0160) loss_rec_all: 0.0520 (0.0522) loss_rec_sfr: 0.0772 (0.0727) loss_cl: -0.3673 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [18:10:13.510867] Epoch: [305] [780/850] eta: 0:01:00 lr: 0.001745 loss: 0.0167 (0.0160) loss_rec_all: 0.0527 (0.0523) loss_rec_sfr: 0.0766 (0.0730) loss_cl: -0.3675 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [18:10:30.811478] Epoch: [305] [800/850] eta: 0:00:43 lr: 0.001745 loss: 0.0158 (0.0161) loss_rec_all: 0.0519 (0.0523) loss_rec_sfr: 0.0575 (0.0729) loss_cl: -0.3671 (-0.3673) time: 0.8650 data: 0.0002 max mem: 29859 [18:10:48.100819] Epoch: [305] [820/850] eta: 0:00:26 lr: 0.001745 loss: 0.0153 (0.0161) loss_rec_all: 0.0514 (0.0523) loss_rec_sfr: 0.0773 (0.0730) loss_cl: -0.3680 (-0.3673) time: 0.8644 data: 0.0003 max mem: 29859 [18:11:05.414403] Epoch: [305] [840/850] eta: 0:00:08 lr: 0.001745 loss: 0.0160 (0.0161) loss_rec_all: 0.0524 (0.0523) loss_rec_sfr: 0.0736 (0.0730) loss_cl: -0.3679 (-0.3673) time: 0.8656 data: 0.0005 max mem: 29859 [18:11:13.191400] Epoch: [305] [849/850] eta: 0:00:00 lr: 0.001745 loss: 0.0152 (0.0161) loss_rec_all: 0.0516 (0.0523) loss_rec_sfr: 0.0565 (0.0730) loss_cl: -0.3678 (-0.3673) time: 0.8654 data: 0.0005 max mem: 29859 [18:11:13.315435] Epoch: [305] Total time: 0:12:17 (0.8672 s / it) [18:11:13.317969] Averaged stats: lr: 0.001745 loss: 0.0152 (0.0161) loss_rec_all: 0.0516 (0.0523) loss_rec_sfr: 0.0565 (0.0734) loss_cl: -0.3678 (-0.3673) [18:11:13.331347] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [18:11:17.696181] Epoch: [306] [ 0/850] eta: 1:01:49 lr: 0.001745 loss: 0.0146 (0.0146) loss_rec_all: 0.0509 (0.0509) loss_rec_sfr: 0.0503 (0.0503) loss_cl: -0.3672 (-0.3672) time: 4.3637 data: 3.5058 max mem: 29859 [18:11:34.966860] Epoch: [306] [ 20/850] eta: 0:14:15 lr: 0.001745 loss: 0.0158 (0.0160) loss_rec_all: 0.0518 (0.0522) loss_rec_sfr: 0.0767 (0.0772) loss_cl: -0.3672 (-0.3672) time: 0.8635 data: 0.0003 max mem: 29859 [18:11:52.253053] Epoch: [306] [ 40/850] eta: 0:12:48 lr: 0.001745 loss: 0.0154 (0.0158) loss_rec_all: 0.0515 (0.0520) loss_rec_sfr: 0.0576 (0.0742) loss_cl: -0.3665 (-0.3668) time: 0.8643 data: 0.0002 max mem: 29859 [18:12:09.507541] Epoch: [306] [ 60/850] eta: 0:12:07 lr: 0.001744 loss: 0.0143 (0.0156) loss_rec_all: 0.0507 (0.0518) loss_rec_sfr: 0.0555 (0.0735) loss_cl: -0.3673 (-0.3670) time: 0.8627 data: 0.0003 max mem: 29859 [18:12:26.804567] Epoch: [306] [ 80/850] eta: 0:11:38 lr: 0.001744 loss: 0.0156 (0.0157) loss_rec_all: 0.0518 (0.0518) loss_rec_sfr: 0.0585 (0.0751) loss_cl: -0.3674 (-0.3671) time: 0.8648 data: 0.0002 max mem: 29859 [18:12:44.050904] Epoch: [306] [100/850] eta: 0:11:13 lr: 0.001744 loss: 0.0152 (0.0157) loss_rec_all: 0.0516 (0.0519) loss_rec_sfr: 0.0601 (0.0751) loss_cl: -0.3682 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [18:13:01.355967] Epoch: [306] [120/850] eta: 0:10:51 lr: 0.001744 loss: 0.0156 (0.0158) loss_rec_all: 0.0521 (0.0521) loss_rec_sfr: 0.0589 (0.0746) loss_cl: -0.3683 (-0.3675) time: 0.8652 data: 0.0002 max mem: 29859 [18:13:18.590123] Epoch: [306] [140/850] eta: 0:10:30 lr: 0.001744 loss: 0.0156 (0.0158) loss_rec_all: 0.0518 (0.0521) loss_rec_sfr: 0.0737 (0.0752) loss_cl: -0.3680 (-0.3676) time: 0.8617 data: 0.0002 max mem: 29859 [18:13:35.892687] Epoch: [306] [160/850] eta: 0:10:10 lr: 0.001744 loss: 0.0150 (0.0158) loss_rec_all: 0.0513 (0.0520) loss_rec_sfr: 0.0529 (0.0743) loss_cl: -0.3672 (-0.3675) time: 0.8651 data: 0.0002 max mem: 29859 [18:13:53.148890] Epoch: [306] [180/850] eta: 0:09:51 lr: 0.001744 loss: 0.0159 (0.0159) loss_rec_all: 0.0523 (0.0521) loss_rec_sfr: 0.0785 (0.0746) loss_cl: -0.3668 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [18:14:10.445127] Epoch: [306] [200/850] eta: 0:09:32 lr: 0.001744 loss: 0.0159 (0.0159) loss_rec_all: 0.0521 (0.0521) loss_rec_sfr: 0.0562 (0.0741) loss_cl: -0.3664 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [18:14:27.777682] Epoch: [306] [220/850] eta: 0:09:14 lr: 0.001744 loss: 0.0158 (0.0160) loss_rec_all: 0.0520 (0.0522) loss_rec_sfr: 0.0787 (0.0745) loss_cl: -0.3669 (-0.3673) time: 0.8666 data: 0.0002 max mem: 29859 [18:14:45.058852] Epoch: [306] [240/850] eta: 0:08:55 lr: 0.001744 loss: 0.0163 (0.0160) loss_rec_all: 0.0526 (0.0522) loss_rec_sfr: 0.0738 (0.0745) loss_cl: -0.3674 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [18:15:02.339620] Epoch: [306] [260/850] eta: 0:08:37 lr: 0.001743 loss: 0.0154 (0.0161) loss_rec_all: 0.0517 (0.0523) loss_rec_sfr: 0.0535 (0.0739) loss_cl: -0.3676 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [18:15:19.657885] Epoch: [306] [280/850] eta: 0:08:19 lr: 0.001743 loss: 0.0143 (0.0160) loss_rec_all: 0.0506 (0.0522) loss_rec_sfr: 0.0514 (0.0733) loss_cl: -0.3678 (-0.3673) time: 0.8659 data: 0.0003 max mem: 29859 [18:15:36.907459] Epoch: [306] [300/850] eta: 0:08:01 lr: 0.001743 loss: 0.0159 (0.0160) loss_rec_all: 0.0520 (0.0522) loss_rec_sfr: 0.0636 (0.0734) loss_cl: -0.3672 (-0.3673) time: 0.8624 data: 0.0003 max mem: 29859 [18:15:54.240073] Epoch: [306] [320/850] eta: 0:07:43 lr: 0.001743 loss: 0.0154 (0.0160) loss_rec_all: 0.0517 (0.0522) loss_rec_sfr: 0.0763 (0.0741) loss_cl: -0.3672 (-0.3673) time: 0.8666 data: 0.0003 max mem: 29859 [18:16:11.496273] Epoch: [306] [340/850] eta: 0:07:25 lr: 0.001743 loss: 0.0153 (0.0160) loss_rec_all: 0.0517 (0.0522) loss_rec_sfr: 0.0578 (0.0740) loss_cl: -0.3676 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [18:16:28.807035] Epoch: [306] [360/850] eta: 0:07:08 lr: 0.001743 loss: 0.0149 (0.0160) loss_rec_all: 0.0514 (0.0522) loss_rec_sfr: 0.0606 (0.0740) loss_cl: -0.3677 (-0.3673) time: 0.8655 data: 0.0002 max mem: 29859 [18:16:46.097526] Epoch: [306] [380/850] eta: 0:06:50 lr: 0.001743 loss: 0.0151 (0.0160) loss_rec_all: 0.0514 (0.0522) loss_rec_sfr: 0.0736 (0.0740) loss_cl: -0.3678 (-0.3674) time: 0.8645 data: 0.0003 max mem: 29859 [18:17:03.388805] Epoch: [306] [400/850] eta: 0:06:32 lr: 0.001743 loss: 0.0155 (0.0160) loss_rec_all: 0.0519 (0.0522) loss_rec_sfr: 0.0610 (0.0740) loss_cl: -0.3673 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [18:17:20.654306] Epoch: [306] [420/850] eta: 0:06:15 lr: 0.001743 loss: 0.0153 (0.0160) loss_rec_all: 0.0516 (0.0522) loss_rec_sfr: 0.0548 (0.0736) loss_cl: -0.3668 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [18:17:37.953113] Epoch: [306] [440/850] eta: 0:05:57 lr: 0.001742 loss: 0.0160 (0.0160) loss_rec_all: 0.0519 (0.0522) loss_rec_sfr: 0.0578 (0.0737) loss_cl: -0.3674 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [18:17:55.202487] Epoch: [306] [460/850] eta: 0:05:39 lr: 0.001742 loss: 0.0149 (0.0160) loss_rec_all: 0.0511 (0.0522) loss_rec_sfr: 0.0794 (0.0739) loss_cl: -0.3676 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [18:18:12.557222] Epoch: [306] [480/850] eta: 0:05:22 lr: 0.001742 loss: 0.0169 (0.0161) loss_rec_all: 0.0529 (0.0523) loss_rec_sfr: 0.0958 (0.0747) loss_cl: -0.3681 (-0.3674) time: 0.8677 data: 0.0003 max mem: 29859 [18:18:29.799346] Epoch: [306] [500/850] eta: 0:05:04 lr: 0.001742 loss: 0.0148 (0.0160) loss_rec_all: 0.0511 (0.0522) loss_rec_sfr: 0.0558 (0.0746) loss_cl: -0.3679 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [18:18:47.107368] Epoch: [306] [520/850] eta: 0:04:47 lr: 0.001742 loss: 0.0153 (0.0160) loss_rec_all: 0.0517 (0.0522) loss_rec_sfr: 0.0514 (0.0740) loss_cl: -0.3677 (-0.3674) time: 0.8653 data: 0.0003 max mem: 29859 [18:19:04.357210] Epoch: [306] [540/850] eta: 0:04:29 lr: 0.001742 loss: 0.0150 (0.0160) loss_rec_all: 0.0513 (0.0522) loss_rec_sfr: 0.0748 (0.0739) loss_cl: -0.3674 (-0.3674) time: 0.8624 data: 0.0003 max mem: 29859 [18:19:21.645973] Epoch: [306] [560/850] eta: 0:04:12 lr: 0.001742 loss: 0.0164 (0.0160) loss_rec_all: 0.0525 (0.0522) loss_rec_sfr: 0.0762 (0.0740) loss_cl: -0.3665 (-0.3674) time: 0.8644 data: 0.0002 max mem: 29859 [18:19:38.913432] Epoch: [306] [580/850] eta: 0:03:54 lr: 0.001742 loss: 0.0152 (0.0160) loss_rec_all: 0.0514 (0.0522) loss_rec_sfr: 0.0587 (0.0738) loss_cl: -0.3663 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [18:19:56.183552] Epoch: [306] [600/850] eta: 0:03:37 lr: 0.001742 loss: 0.0163 (0.0160) loss_rec_all: 0.0524 (0.0522) loss_rec_sfr: 0.0593 (0.0738) loss_cl: -0.3668 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [18:20:13.433344] Epoch: [306] [620/850] eta: 0:03:20 lr: 0.001742 loss: 0.0158 (0.0160) loss_rec_all: 0.0519 (0.0522) loss_rec_sfr: 0.0787 (0.0739) loss_cl: -0.3675 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [18:20:30.693599] Epoch: [306] [640/850] eta: 0:03:02 lr: 0.001741 loss: 0.0148 (0.0160) loss_rec_all: 0.0510 (0.0522) loss_rec_sfr: 0.0744 (0.0739) loss_cl: -0.3677 (-0.3673) time: 0.8630 data: 0.0001 max mem: 29859 [18:20:47.924819] Epoch: [306] [660/850] eta: 0:02:45 lr: 0.001741 loss: 0.0157 (0.0160) loss_rec_all: 0.0521 (0.0523) loss_rec_sfr: 0.0630 (0.0738) loss_cl: -0.3677 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [18:21:05.217822] Epoch: [306] [680/850] eta: 0:02:27 lr: 0.001741 loss: 0.0151 (0.0160) loss_rec_all: 0.0514 (0.0523) loss_rec_sfr: 0.0527 (0.0738) loss_cl: -0.3677 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [18:21:22.465380] Epoch: [306] [700/850] eta: 0:02:10 lr: 0.001741 loss: 0.0150 (0.0160) loss_rec_all: 0.0514 (0.0522) loss_rec_sfr: 0.0552 (0.0735) loss_cl: -0.3677 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [18:21:39.777209] Epoch: [306] [720/850] eta: 0:01:52 lr: 0.001741 loss: 0.0145 (0.0160) loss_rec_all: 0.0510 (0.0522) loss_rec_sfr: 0.0566 (0.0735) loss_cl: -0.3678 (-0.3674) time: 0.8656 data: 0.0002 max mem: 29859 [18:21:57.011674] Epoch: [306] [740/850] eta: 0:01:35 lr: 0.001741 loss: 0.0152 (0.0160) loss_rec_all: 0.0515 (0.0522) loss_rec_sfr: 0.0571 (0.0735) loss_cl: -0.3674 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [18:22:14.304493] Epoch: [306] [760/850] eta: 0:01:18 lr: 0.001741 loss: 0.0152 (0.0160) loss_rec_all: 0.0512 (0.0522) loss_rec_sfr: 0.0804 (0.0737) loss_cl: -0.3676 (-0.3674) time: 0.8646 data: 0.0002 max mem: 29859 [18:22:31.542620] Epoch: [306] [780/850] eta: 0:01:00 lr: 0.001741 loss: 0.0162 (0.0160) loss_rec_all: 0.0522 (0.0522) loss_rec_sfr: 0.0543 (0.0735) loss_cl: -0.3669 (-0.3674) time: 0.8619 data: 0.0003 max mem: 29859 [18:22:48.787556] Epoch: [306] [800/850] eta: 0:00:43 lr: 0.001741 loss: 0.0148 (0.0160) loss_rec_all: 0.0511 (0.0522) loss_rec_sfr: 0.0595 (0.0734) loss_cl: -0.3669 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [18:23:06.044360] Epoch: [306] [820/850] eta: 0:00:26 lr: 0.001741 loss: 0.0172 (0.0160) loss_rec_all: 0.0531 (0.0523) loss_rec_sfr: 0.0909 (0.0738) loss_cl: -0.3667 (-0.3673) time: 0.8628 data: 0.0003 max mem: 29859 [18:23:23.331708] Epoch: [306] [840/850] eta: 0:00:08 lr: 0.001740 loss: 0.0164 (0.0161) loss_rec_all: 0.0527 (0.0523) loss_rec_sfr: 0.0601 (0.0738) loss_cl: -0.3670 (-0.3673) time: 0.8643 data: 0.0005 max mem: 29859 [18:23:31.088359] Epoch: [306] [849/850] eta: 0:00:00 lr: 0.001740 loss: 0.0164 (0.0161) loss_rec_all: 0.0527 (0.0523) loss_rec_sfr: 0.0630 (0.0739) loss_cl: -0.3668 (-0.3673) time: 0.8636 data: 0.0004 max mem: 29859 [18:23:31.220859] Epoch: [306] Total time: 0:12:17 (0.8681 s / it) [18:23:31.223309] Averaged stats: lr: 0.001740 loss: 0.0164 (0.0161) loss_rec_all: 0.0527 (0.0523) loss_rec_sfr: 0.0630 (0.0737) loss_cl: -0.3668 (-0.3673) [18:23:31.235495] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [18:23:35.493759] Epoch: [307] [ 0/850] eta: 1:00:18 lr: 0.001740 loss: 0.0152 (0.0152) loss_rec_all: 0.0516 (0.0516) loss_rec_sfr: 0.0555 (0.0555) loss_cl: -0.3676 (-0.3676) time: 4.2575 data: 3.3988 max mem: 29859 [18:23:52.721483] Epoch: [307] [ 20/850] eta: 0:14:09 lr: 0.001740 loss: 0.0159 (0.0166) loss_rec_all: 0.0521 (0.0528) loss_rec_sfr: 0.0690 (0.0745) loss_cl: -0.3670 (-0.3669) time: 0.8613 data: 0.0002 max mem: 29859 [18:24:09.991041] Epoch: [307] [ 40/850] eta: 0:12:45 lr: 0.001740 loss: 0.0161 (0.0167) loss_rec_all: 0.0524 (0.0529) loss_rec_sfr: 0.0599 (0.0762) loss_cl: -0.3675 (-0.3672) time: 0.8634 data: 0.0002 max mem: 29859 [18:24:27.244706] Epoch: [307] [ 60/850] eta: 0:12:05 lr: 0.001740 loss: 0.0158 (0.0165) loss_rec_all: 0.0520 (0.0527) loss_rec_sfr: 0.0706 (0.0758) loss_cl: -0.3675 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [18:24:44.518260] Epoch: [307] [ 80/850] eta: 0:11:36 lr: 0.001740 loss: 0.0143 (0.0161) loss_rec_all: 0.0507 (0.0523) loss_rec_sfr: 0.0565 (0.0744) loss_cl: -0.3674 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [18:25:01.757433] Epoch: [307] [100/850] eta: 0:11:12 lr: 0.001740 loss: 0.0144 (0.0159) loss_rec_all: 0.0507 (0.0521) loss_rec_sfr: 0.0515 (0.0730) loss_cl: -0.3674 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [18:25:19.058134] Epoch: [307] [120/850] eta: 0:10:50 lr: 0.001740 loss: 0.0145 (0.0159) loss_rec_all: 0.0508 (0.0521) loss_rec_sfr: 0.0589 (0.0726) loss_cl: -0.3673 (-0.3673) time: 0.8650 data: 0.0003 max mem: 29859 [18:25:36.298953] Epoch: [307] [140/850] eta: 0:10:29 lr: 0.001740 loss: 0.0148 (0.0159) loss_rec_all: 0.0512 (0.0521) loss_rec_sfr: 0.0559 (0.0715) loss_cl: -0.3673 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [18:25:53.596850] Epoch: [307] [160/850] eta: 0:10:10 lr: 0.001740 loss: 0.0155 (0.0159) loss_rec_all: 0.0516 (0.0521) loss_rec_sfr: 0.0771 (0.0722) loss_cl: -0.3674 (-0.3673) time: 0.8648 data: 0.0003 max mem: 29859 [18:26:10.843196] Epoch: [307] [180/850] eta: 0:09:50 lr: 0.001739 loss: 0.0153 (0.0158) loss_rec_all: 0.0517 (0.0521) loss_rec_sfr: 0.0612 (0.0723) loss_cl: -0.3676 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [18:26:28.133280] Epoch: [307] [200/850] eta: 0:09:32 lr: 0.001739 loss: 0.0142 (0.0159) loss_rec_all: 0.0506 (0.0521) loss_rec_sfr: 0.0567 (0.0718) loss_cl: -0.3684 (-0.3674) time: 0.8644 data: 0.0002 max mem: 29859 [18:26:45.387338] Epoch: [307] [220/850] eta: 0:09:13 lr: 0.001739 loss: 0.0154 (0.0159) loss_rec_all: 0.0516 (0.0521) loss_rec_sfr: 0.0778 (0.0729) loss_cl: -0.3675 (-0.3674) time: 0.8626 data: 0.0003 max mem: 29859 [18:27:02.667104] Epoch: [307] [240/850] eta: 0:08:55 lr: 0.001739 loss: 0.0150 (0.0159) loss_rec_all: 0.0512 (0.0521) loss_rec_sfr: 0.0749 (0.0734) loss_cl: -0.3669 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [18:27:19.955014] Epoch: [307] [260/850] eta: 0:08:36 lr: 0.001739 loss: 0.0156 (0.0159) loss_rec_all: 0.0515 (0.0521) loss_rec_sfr: 0.0778 (0.0738) loss_cl: -0.3667 (-0.3673) time: 0.8643 data: 0.0003 max mem: 29859 [18:27:37.230133] Epoch: [307] [280/850] eta: 0:08:18 lr: 0.001739 loss: 0.0151 (0.0159) loss_rec_all: 0.0513 (0.0521) loss_rec_sfr: 0.0571 (0.0735) loss_cl: -0.3671 (-0.3673) time: 0.8637 data: 0.0003 max mem: 29859 [18:27:54.507004] Epoch: [307] [300/850] eta: 0:08:01 lr: 0.001739 loss: 0.0147 (0.0158) loss_rec_all: 0.0509 (0.0520) loss_rec_sfr: 0.0512 (0.0731) loss_cl: -0.3673 (-0.3673) time: 0.8638 data: 0.0003 max mem: 29859 [18:28:11.793312] Epoch: [307] [320/850] eta: 0:07:43 lr: 0.001739 loss: 0.0148 (0.0157) loss_rec_all: 0.0511 (0.0520) loss_rec_sfr: 0.0611 (0.0731) loss_cl: -0.3677 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [18:28:29.037007] Epoch: [307] [340/850] eta: 0:07:25 lr: 0.001739 loss: 0.0147 (0.0157) loss_rec_all: 0.0511 (0.0520) loss_rec_sfr: 0.0596 (0.0730) loss_cl: -0.3679 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [18:28:46.319491] Epoch: [307] [360/850] eta: 0:07:07 lr: 0.001738 loss: 0.0146 (0.0157) loss_rec_all: 0.0509 (0.0519) loss_rec_sfr: 0.0648 (0.0731) loss_cl: -0.3678 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [18:29:03.557514] Epoch: [307] [380/850] eta: 0:06:49 lr: 0.001738 loss: 0.0155 (0.0157) loss_rec_all: 0.0519 (0.0519) loss_rec_sfr: 0.0652 (0.0730) loss_cl: -0.3678 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [18:29:20.869406] Epoch: [307] [400/850] eta: 0:06:32 lr: 0.001738 loss: 0.0154 (0.0157) loss_rec_all: 0.0516 (0.0519) loss_rec_sfr: 0.0559 (0.0729) loss_cl: -0.3668 (-0.3674) time: 0.8656 data: 0.0002 max mem: 29859 [18:29:38.119623] Epoch: [307] [420/850] eta: 0:06:14 lr: 0.001738 loss: 0.0171 (0.0158) loss_rec_all: 0.0534 (0.0520) loss_rec_sfr: 0.0605 (0.0729) loss_cl: -0.3665 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [18:29:55.458034] Epoch: [307] [440/850] eta: 0:05:57 lr: 0.001738 loss: 0.0176 (0.0159) loss_rec_all: 0.0537 (0.0521) loss_rec_sfr: 0.0649 (0.0731) loss_cl: -0.3673 (-0.3673) time: 0.8668 data: 0.0003 max mem: 29859 [18:30:12.696303] Epoch: [307] [460/850] eta: 0:05:39 lr: 0.001738 loss: 0.0176 (0.0159) loss_rec_all: 0.0539 (0.0522) loss_rec_sfr: 0.0626 (0.0732) loss_cl: -0.3678 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [18:30:29.992399] Epoch: [307] [480/850] eta: 0:05:22 lr: 0.001738 loss: 0.0153 (0.0159) loss_rec_all: 0.0517 (0.0522) loss_rec_sfr: 0.0553 (0.0731) loss_cl: -0.3682 (-0.3674) time: 0.8647 data: 0.0002 max mem: 29859 [18:30:47.266551] Epoch: [307] [500/850] eta: 0:05:04 lr: 0.001738 loss: 0.0150 (0.0159) loss_rec_all: 0.0512 (0.0522) loss_rec_sfr: 0.0742 (0.0732) loss_cl: -0.3680 (-0.3674) time: 0.8636 data: 0.0003 max mem: 29859 [18:31:04.550281] Epoch: [307] [520/850] eta: 0:04:47 lr: 0.001738 loss: 0.0151 (0.0159) loss_rec_all: 0.0512 (0.0521) loss_rec_sfr: 0.0802 (0.0733) loss_cl: -0.3676 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [18:31:21.814270] Epoch: [307] [540/850] eta: 0:04:29 lr: 0.001738 loss: 0.0145 (0.0159) loss_rec_all: 0.0508 (0.0521) loss_rec_sfr: 0.0555 (0.0731) loss_cl: -0.3669 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [18:31:39.092254] Epoch: [307] [560/850] eta: 0:04:12 lr: 0.001737 loss: 0.0144 (0.0158) loss_rec_all: 0.0504 (0.0521) loss_rec_sfr: 0.0578 (0.0731) loss_cl: -0.3667 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [18:31:56.346804] Epoch: [307] [580/850] eta: 0:03:54 lr: 0.001737 loss: 0.0148 (0.0158) loss_rec_all: 0.0508 (0.0521) loss_rec_sfr: 0.0725 (0.0731) loss_cl: -0.3669 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [18:32:13.628846] Epoch: [307] [600/850] eta: 0:03:37 lr: 0.001737 loss: 0.0151 (0.0158) loss_rec_all: 0.0512 (0.0520) loss_rec_sfr: 0.0598 (0.0731) loss_cl: -0.3677 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [18:32:30.867823] Epoch: [307] [620/850] eta: 0:03:19 lr: 0.001737 loss: 0.0154 (0.0158) loss_rec_all: 0.0516 (0.0520) loss_rec_sfr: 0.0585 (0.0730) loss_cl: -0.3677 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [18:32:48.168419] Epoch: [307] [640/850] eta: 0:03:02 lr: 0.001737 loss: 0.0163 (0.0158) loss_rec_all: 0.0526 (0.0521) loss_rec_sfr: 0.0750 (0.0732) loss_cl: -0.3673 (-0.3674) time: 0.8650 data: 0.0003 max mem: 29859 [18:33:05.409258] Epoch: [307] [660/850] eta: 0:02:45 lr: 0.001737 loss: 0.0154 (0.0158) loss_rec_all: 0.0515 (0.0521) loss_rec_sfr: 0.0733 (0.0731) loss_cl: -0.3674 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [18:33:22.724483] Epoch: [307] [680/850] eta: 0:02:27 lr: 0.001737 loss: 0.0156 (0.0159) loss_rec_all: 0.0517 (0.0521) loss_rec_sfr: 0.0557 (0.0730) loss_cl: -0.3670 (-0.3674) time: 0.8657 data: 0.0003 max mem: 29859 [18:33:39.972078] Epoch: [307] [700/850] eta: 0:02:10 lr: 0.001737 loss: 0.0170 (0.0159) loss_rec_all: 0.0532 (0.0521) loss_rec_sfr: 0.0736 (0.0732) loss_cl: -0.3671 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [18:33:57.291761] Epoch: [307] [720/850] eta: 0:01:52 lr: 0.001737 loss: 0.0161 (0.0159) loss_rec_all: 0.0523 (0.0521) loss_rec_sfr: 0.0609 (0.0732) loss_cl: -0.3671 (-0.3673) time: 0.8659 data: 0.0003 max mem: 29859 [18:34:14.536660] Epoch: [307] [740/850] eta: 0:01:35 lr: 0.001737 loss: 0.0150 (0.0159) loss_rec_all: 0.0514 (0.0522) loss_rec_sfr: 0.0587 (0.0731) loss_cl: -0.3674 (-0.3674) time: 0.8622 data: 0.0003 max mem: 29859 [18:34:31.815515] Epoch: [307] [760/850] eta: 0:01:18 lr: 0.001736 loss: 0.0157 (0.0159) loss_rec_all: 0.0518 (0.0522) loss_rec_sfr: 0.0621 (0.0732) loss_cl: -0.3673 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [18:34:49.077308] Epoch: [307] [780/850] eta: 0:01:00 lr: 0.001736 loss: 0.0155 (0.0159) loss_rec_all: 0.0517 (0.0522) loss_rec_sfr: 0.0542 (0.0732) loss_cl: -0.3676 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [18:35:06.345687] Epoch: [307] [800/850] eta: 0:00:43 lr: 0.001736 loss: 0.0161 (0.0160) loss_rec_all: 0.0524 (0.0522) loss_rec_sfr: 0.0526 (0.0733) loss_cl: -0.3676 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [18:35:23.624277] Epoch: [307] [820/850] eta: 0:00:26 lr: 0.001736 loss: 0.0150 (0.0160) loss_rec_all: 0.0510 (0.0522) loss_rec_sfr: 0.0556 (0.0732) loss_cl: -0.3675 (-0.3674) time: 0.8639 data: 0.0003 max mem: 29859 [18:35:40.905526] Epoch: [307] [840/850] eta: 0:00:08 lr: 0.001736 loss: 0.0153 (0.0160) loss_rec_all: 0.0516 (0.0522) loss_rec_sfr: 0.0546 (0.0731) loss_cl: -0.3678 (-0.3674) time: 0.8640 data: 0.0005 max mem: 29859 [18:35:48.655030] Epoch: [307] [849/850] eta: 0:00:00 lr: 0.001736 loss: 0.0144 (0.0159) loss_rec_all: 0.0508 (0.0522) loss_rec_sfr: 0.0565 (0.0732) loss_cl: -0.3674 (-0.3674) time: 0.8636 data: 0.0004 max mem: 29859 [18:35:48.777458] Epoch: [307] Total time: 0:12:17 (0.8677 s / it) [18:35:48.785902] Averaged stats: lr: 0.001736 loss: 0.0144 (0.0160) loss_rec_all: 0.0508 (0.0522) loss_rec_sfr: 0.0565 (0.0732) loss_cl: -0.3674 (-0.3673) [18:35:48.797979] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [18:35:52.724156] Epoch: [308] [ 0/850] eta: 0:55:36 lr: 0.001736 loss: 0.0161 (0.0161) loss_rec_all: 0.0521 (0.0521) loss_rec_sfr: 0.1080 (0.1080) loss_cl: -0.3667 (-0.3667) time: 3.9251 data: 2.8643 max mem: 29859 [18:36:09.993761] Epoch: [308] [ 20/850] eta: 0:13:57 lr: 0.001736 loss: 0.0150 (0.0150) loss_rec_all: 0.0510 (0.0512) loss_rec_sfr: 0.0577 (0.0752) loss_cl: -0.3674 (-0.3672) time: 0.8634 data: 0.0003 max mem: 29859 [18:36:27.257449] Epoch: [308] [ 40/850] eta: 0:12:39 lr: 0.001736 loss: 0.0146 (0.0153) loss_rec_all: 0.0508 (0.0515) loss_rec_sfr: 0.0522 (0.0715) loss_cl: -0.3673 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [18:36:44.515119] Epoch: [308] [ 60/850] eta: 0:12:01 lr: 0.001736 loss: 0.0150 (0.0154) loss_rec_all: 0.0513 (0.0516) loss_rec_sfr: 0.0761 (0.0717) loss_cl: -0.3672 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [18:37:01.809806] Epoch: [308] [ 80/850] eta: 0:11:34 lr: 0.001736 loss: 0.0149 (0.0155) loss_rec_all: 0.0512 (0.0517) loss_rec_sfr: 0.0743 (0.0736) loss_cl: -0.3672 (-0.3672) time: 0.8647 data: 0.0002 max mem: 29859 [18:37:19.058476] Epoch: [308] [100/850] eta: 0:11:10 lr: 0.001735 loss: 0.0151 (0.0155) loss_rec_all: 0.0514 (0.0517) loss_rec_sfr: 0.0570 (0.0740) loss_cl: -0.3674 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [18:37:36.364808] Epoch: [308] [120/850] eta: 0:10:48 lr: 0.001735 loss: 0.0147 (0.0156) loss_rec_all: 0.0511 (0.0519) loss_rec_sfr: 0.0555 (0.0720) loss_cl: -0.3674 (-0.3672) time: 0.8653 data: 0.0002 max mem: 29859 [18:37:53.593693] Epoch: [308] [140/850] eta: 0:10:28 lr: 0.001735 loss: 0.0153 (0.0156) loss_rec_all: 0.0516 (0.0519) loss_rec_sfr: 0.0589 (0.0720) loss_cl: -0.3678 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [18:38:10.900754] Epoch: [308] [160/850] eta: 0:10:08 lr: 0.001735 loss: 0.0156 (0.0157) loss_rec_all: 0.0519 (0.0520) loss_rec_sfr: 0.0705 (0.0723) loss_cl: -0.3678 (-0.3673) time: 0.8653 data: 0.0003 max mem: 29859 [18:38:28.173525] Epoch: [308] [180/850] eta: 0:09:49 lr: 0.001735 loss: 0.0163 (0.0158) loss_rec_all: 0.0524 (0.0521) loss_rec_sfr: 0.0776 (0.0731) loss_cl: -0.3681 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [18:38:45.455661] Epoch: [308] [200/850] eta: 0:09:31 lr: 0.001735 loss: 0.0150 (0.0159) loss_rec_all: 0.0512 (0.0521) loss_rec_sfr: 0.0568 (0.0730) loss_cl: -0.3678 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [18:39:02.727376] Epoch: [308] [220/850] eta: 0:09:12 lr: 0.001735 loss: 0.0146 (0.0158) loss_rec_all: 0.0510 (0.0521) loss_rec_sfr: 0.0558 (0.0725) loss_cl: -0.3675 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [18:39:20.015859] Epoch: [308] [240/850] eta: 0:08:54 lr: 0.001735 loss: 0.0158 (0.0159) loss_rec_all: 0.0518 (0.0521) loss_rec_sfr: 0.0576 (0.0723) loss_cl: -0.3672 (-0.3674) time: 0.8644 data: 0.0002 max mem: 29859 [18:39:37.276999] Epoch: [308] [260/850] eta: 0:08:36 lr: 0.001735 loss: 0.0158 (0.0159) loss_rec_all: 0.0519 (0.0522) loss_rec_sfr: 0.0604 (0.0720) loss_cl: -0.3672 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [18:39:54.570199] Epoch: [308] [280/850] eta: 0:08:18 lr: 0.001734 loss: 0.0149 (0.0159) loss_rec_all: 0.0514 (0.0522) loss_rec_sfr: 0.0566 (0.0720) loss_cl: -0.3674 (-0.3674) time: 0.8646 data: 0.0002 max mem: 29859 [18:40:11.815786] Epoch: [308] [300/850] eta: 0:08:00 lr: 0.001734 loss: 0.0151 (0.0159) loss_rec_all: 0.0513 (0.0522) loss_rec_sfr: 0.0850 (0.0729) loss_cl: -0.3675 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [18:40:29.147984] Epoch: [308] [320/850] eta: 0:07:42 lr: 0.001734 loss: 0.0147 (0.0159) loss_rec_all: 0.0508 (0.0521) loss_rec_sfr: 0.0576 (0.0725) loss_cl: -0.3670 (-0.3674) time: 0.8666 data: 0.0003 max mem: 29859 [18:40:46.389050] Epoch: [308] [340/850] eta: 0:07:25 lr: 0.001734 loss: 0.0154 (0.0159) loss_rec_all: 0.0513 (0.0521) loss_rec_sfr: 0.0603 (0.0722) loss_cl: -0.3667 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [18:41:03.710659] Epoch: [308] [360/850] eta: 0:07:07 lr: 0.001734 loss: 0.0148 (0.0159) loss_rec_all: 0.0508 (0.0521) loss_rec_sfr: 0.0556 (0.0720) loss_cl: -0.3668 (-0.3673) time: 0.8660 data: 0.0003 max mem: 29859 [18:41:20.953401] Epoch: [308] [380/850] eta: 0:06:49 lr: 0.001734 loss: 0.0149 (0.0159) loss_rec_all: 0.0508 (0.0521) loss_rec_sfr: 0.0773 (0.0722) loss_cl: -0.3672 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [18:41:38.233122] Epoch: [308] [400/850] eta: 0:06:32 lr: 0.001734 loss: 0.0147 (0.0158) loss_rec_all: 0.0510 (0.0521) loss_rec_sfr: 0.0528 (0.0717) loss_cl: -0.3673 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [18:41:55.493484] Epoch: [308] [420/850] eta: 0:06:14 lr: 0.001734 loss: 0.0149 (0.0158) loss_rec_all: 0.0511 (0.0520) loss_rec_sfr: 0.0744 (0.0717) loss_cl: -0.3673 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [18:42:12.776367] Epoch: [308] [440/850] eta: 0:05:56 lr: 0.001734 loss: 0.0144 (0.0158) loss_rec_all: 0.0508 (0.0520) loss_rec_sfr: 0.0544 (0.0714) loss_cl: -0.3678 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [18:42:30.036884] Epoch: [308] [460/850] eta: 0:05:39 lr: 0.001734 loss: 0.0140 (0.0157) loss_rec_all: 0.0503 (0.0519) loss_rec_sfr: 0.0541 (0.0711) loss_cl: -0.3676 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [18:42:47.315749] Epoch: [308] [480/850] eta: 0:05:21 lr: 0.001733 loss: 0.0135 (0.0157) loss_rec_all: 0.0499 (0.0519) loss_rec_sfr: 0.0547 (0.0710) loss_cl: -0.3675 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [18:43:04.561616] Epoch: [308] [500/850] eta: 0:05:04 lr: 0.001733 loss: 0.0151 (0.0156) loss_rec_all: 0.0512 (0.0519) loss_rec_sfr: 0.0715 (0.0710) loss_cl: -0.3673 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [18:43:21.861042] Epoch: [308] [520/850] eta: 0:04:46 lr: 0.001733 loss: 0.0152 (0.0156) loss_rec_all: 0.0514 (0.0519) loss_rec_sfr: 0.0561 (0.0710) loss_cl: -0.3676 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [18:43:39.095350] Epoch: [308] [540/850] eta: 0:04:29 lr: 0.001733 loss: 0.0172 (0.0157) loss_rec_all: 0.0534 (0.0520) loss_rec_sfr: 0.0756 (0.0713) loss_cl: -0.3672 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [18:43:56.405294] Epoch: [308] [560/850] eta: 0:04:12 lr: 0.001733 loss: 0.0180 (0.0158) loss_rec_all: 0.0541 (0.0520) loss_rec_sfr: 0.0740 (0.0715) loss_cl: -0.3675 (-0.3673) time: 0.8654 data: 0.0003 max mem: 29859 [18:44:13.647958] Epoch: [308] [580/850] eta: 0:03:54 lr: 0.001733 loss: 0.0170 (0.0158) loss_rec_all: 0.0534 (0.0521) loss_rec_sfr: 0.0672 (0.0717) loss_cl: -0.3673 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [18:44:30.943273] Epoch: [308] [600/850] eta: 0:03:37 lr: 0.001733 loss: 0.0164 (0.0159) loss_rec_all: 0.0524 (0.0521) loss_rec_sfr: 0.0788 (0.0720) loss_cl: -0.3667 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [18:44:48.210010] Epoch: [308] [620/850] eta: 0:03:19 lr: 0.001733 loss: 0.0164 (0.0159) loss_rec_all: 0.0527 (0.0521) loss_rec_sfr: 0.0567 (0.0719) loss_cl: -0.3673 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [18:45:05.482882] Epoch: [308] [640/850] eta: 0:03:02 lr: 0.001733 loss: 0.0171 (0.0159) loss_rec_all: 0.0531 (0.0522) loss_rec_sfr: 0.0754 (0.0721) loss_cl: -0.3680 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [18:45:22.764451] Epoch: [308] [660/850] eta: 0:02:44 lr: 0.001733 loss: 0.0156 (0.0159) loss_rec_all: 0.0519 (0.0522) loss_rec_sfr: 0.0607 (0.0720) loss_cl: -0.3680 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [18:45:40.043850] Epoch: [308] [680/850] eta: 0:02:27 lr: 0.001732 loss: 0.0159 (0.0160) loss_rec_all: 0.0524 (0.0522) loss_rec_sfr: 0.0547 (0.0720) loss_cl: -0.3681 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [18:45:57.284110] Epoch: [308] [700/850] eta: 0:02:10 lr: 0.001732 loss: 0.0151 (0.0159) loss_rec_all: 0.0513 (0.0522) loss_rec_sfr: 0.0590 (0.0720) loss_cl: -0.3676 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [18:46:14.563283] Epoch: [308] [720/850] eta: 0:01:52 lr: 0.001732 loss: 0.0164 (0.0160) loss_rec_all: 0.0523 (0.0522) loss_rec_sfr: 0.0722 (0.0721) loss_cl: -0.3680 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [18:46:31.795753] Epoch: [308] [740/850] eta: 0:01:35 lr: 0.001732 loss: 0.0147 (0.0159) loss_rec_all: 0.0510 (0.0522) loss_rec_sfr: 0.0576 (0.0721) loss_cl: -0.3670 (-0.3674) time: 0.8616 data: 0.0002 max mem: 29859 [18:46:49.103196] Epoch: [308] [760/850] eta: 0:01:18 lr: 0.001732 loss: 0.0146 (0.0159) loss_rec_all: 0.0510 (0.0522) loss_rec_sfr: 0.0556 (0.0721) loss_cl: -0.3670 (-0.3674) time: 0.8653 data: 0.0003 max mem: 29859 [18:47:06.343419] Epoch: [308] [780/850] eta: 0:01:00 lr: 0.001732 loss: 0.0155 (0.0159) loss_rec_all: 0.0518 (0.0522) loss_rec_sfr: 0.0605 (0.0721) loss_cl: -0.3671 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [18:47:23.641719] Epoch: [308] [800/850] eta: 0:00:43 lr: 0.001732 loss: 0.0166 (0.0159) loss_rec_all: 0.0528 (0.0522) loss_rec_sfr: 0.0767 (0.0723) loss_cl: -0.3667 (-0.3674) time: 0.8649 data: 0.0002 max mem: 29859 [18:47:40.867194] Epoch: [308] [820/850] eta: 0:00:26 lr: 0.001732 loss: 0.0156 (0.0160) loss_rec_all: 0.0519 (0.0522) loss_rec_sfr: 0.0657 (0.0724) loss_cl: -0.3674 (-0.3674) time: 0.8612 data: 0.0002 max mem: 29859 [18:47:58.158627] Epoch: [308] [840/850] eta: 0:00:08 lr: 0.001732 loss: 0.0156 (0.0160) loss_rec_all: 0.0516 (0.0522) loss_rec_sfr: 0.0679 (0.0724) loss_cl: -0.3671 (-0.3673) time: 0.8645 data: 0.0004 max mem: 29859 [18:48:05.927458] Epoch: [308] [849/850] eta: 0:00:00 lr: 0.001731 loss: 0.0149 (0.0160) loss_rec_all: 0.0513 (0.0522) loss_rec_sfr: 0.0528 (0.0724) loss_cl: -0.3671 (-0.3673) time: 0.8650 data: 0.0004 max mem: 29859 [18:48:06.047052] Epoch: [308] Total time: 0:12:17 (0.8674 s / it) [18:48:06.049632] Averaged stats: lr: 0.001731 loss: 0.0149 (0.0161) loss_rec_all: 0.0513 (0.0523) loss_rec_sfr: 0.0528 (0.0729) loss_cl: -0.3671 (-0.3673) [18:48:06.062662] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [18:48:10.032497] Epoch: [309] [ 0/850] eta: 0:56:13 lr: 0.001731 loss: 0.0133 (0.0133) loss_rec_all: 0.0497 (0.0497) loss_rec_sfr: 0.0506 (0.0506) loss_cl: -0.3675 (-0.3675) time: 3.9690 data: 3.1130 max mem: 29859 [18:48:27.249896] Epoch: [309] [ 20/850] eta: 0:13:57 lr: 0.001731 loss: 0.0167 (0.0165) loss_rec_all: 0.0527 (0.0527) loss_rec_sfr: 0.0743 (0.0717) loss_cl: -0.3668 (-0.3670) time: 0.8608 data: 0.0002 max mem: 29859 [18:48:44.534220] Epoch: [309] [ 40/850] eta: 0:12:39 lr: 0.001731 loss: 0.0153 (0.0163) loss_rec_all: 0.0516 (0.0525) loss_rec_sfr: 0.0725 (0.0719) loss_cl: -0.3670 (-0.3670) time: 0.8642 data: 0.0002 max mem: 29859 [18:49:01.760178] Epoch: [309] [ 60/850] eta: 0:12:01 lr: 0.001731 loss: 0.0154 (0.0160) loss_rec_all: 0.0515 (0.0522) loss_rec_sfr: 0.0618 (0.0727) loss_cl: -0.3673 (-0.3671) time: 0.8613 data: 0.0002 max mem: 29859 [18:49:19.043327] Epoch: [309] [ 80/850] eta: 0:11:33 lr: 0.001731 loss: 0.0144 (0.0160) loss_rec_all: 0.0508 (0.0522) loss_rec_sfr: 0.0699 (0.0721) loss_cl: -0.3679 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [18:49:36.291673] Epoch: [309] [100/850] eta: 0:11:09 lr: 0.001731 loss: 0.0138 (0.0157) loss_rec_all: 0.0502 (0.0519) loss_rec_sfr: 0.0542 (0.0707) loss_cl: -0.3684 (-0.3675) time: 0.8624 data: 0.0002 max mem: 29859 [18:49:53.605811] Epoch: [309] [120/850] eta: 0:10:48 lr: 0.001731 loss: 0.0144 (0.0155) loss_rec_all: 0.0509 (0.0518) loss_rec_sfr: 0.0551 (0.0704) loss_cl: -0.3679 (-0.3676) time: 0.8657 data: 0.0002 max mem: 29859 [18:50:10.883154] Epoch: [309] [140/850] eta: 0:10:28 lr: 0.001731 loss: 0.0140 (0.0154) loss_rec_all: 0.0503 (0.0517) loss_rec_sfr: 0.0600 (0.0703) loss_cl: -0.3671 (-0.3675) time: 0.8638 data: 0.0002 max mem: 29859 [18:50:28.157669] Epoch: [309] [160/850] eta: 0:10:08 lr: 0.001731 loss: 0.0141 (0.0153) loss_rec_all: 0.0505 (0.0516) loss_rec_sfr: 0.0520 (0.0692) loss_cl: -0.3669 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [18:50:45.418328] Epoch: [309] [180/850] eta: 0:09:49 lr: 0.001731 loss: 0.0145 (0.0152) loss_rec_all: 0.0508 (0.0515) loss_rec_sfr: 0.0521 (0.0683) loss_cl: -0.3669 (-0.3674) time: 0.8630 data: 0.0003 max mem: 29859 [18:51:02.701334] Epoch: [309] [200/850] eta: 0:09:31 lr: 0.001730 loss: 0.0151 (0.0153) loss_rec_all: 0.0510 (0.0516) loss_rec_sfr: 0.0774 (0.0688) loss_cl: -0.3669 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [18:51:19.937608] Epoch: [309] [220/850] eta: 0:09:12 lr: 0.001730 loss: 0.0169 (0.0155) loss_rec_all: 0.0529 (0.0517) loss_rec_sfr: 0.0832 (0.0703) loss_cl: -0.3673 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [18:51:37.234612] Epoch: [309] [240/850] eta: 0:08:54 lr: 0.001730 loss: 0.0141 (0.0155) loss_rec_all: 0.0505 (0.0517) loss_rec_sfr: 0.0535 (0.0701) loss_cl: -0.3677 (-0.3674) time: 0.8648 data: 0.0003 max mem: 29859 [18:51:54.490587] Epoch: [309] [260/850] eta: 0:08:36 lr: 0.001730 loss: 0.0153 (0.0155) loss_rec_all: 0.0517 (0.0517) loss_rec_sfr: 0.0563 (0.0702) loss_cl: -0.3677 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [18:52:11.781437] Epoch: [309] [280/850] eta: 0:08:18 lr: 0.001730 loss: 0.0158 (0.0155) loss_rec_all: 0.0518 (0.0518) loss_rec_sfr: 0.0576 (0.0703) loss_cl: -0.3678 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [18:52:29.026894] Epoch: [309] [300/850] eta: 0:08:00 lr: 0.001730 loss: 0.0164 (0.0157) loss_rec_all: 0.0529 (0.0519) loss_rec_sfr: 0.0880 (0.0711) loss_cl: -0.3673 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [18:52:46.337240] Epoch: [309] [320/850] eta: 0:07:42 lr: 0.001730 loss: 0.0167 (0.0158) loss_rec_all: 0.0529 (0.0520) loss_rec_sfr: 0.0593 (0.0713) loss_cl: -0.3671 (-0.3674) time: 0.8655 data: 0.0002 max mem: 29859 [18:53:03.581087] Epoch: [309] [340/850] eta: 0:07:24 lr: 0.001730 loss: 0.0184 (0.0159) loss_rec_all: 0.0544 (0.0522) loss_rec_sfr: 0.0807 (0.0723) loss_cl: -0.3673 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [18:53:20.869450] Epoch: [309] [360/850] eta: 0:07:07 lr: 0.001730 loss: 0.0170 (0.0160) loss_rec_all: 0.0533 (0.0522) loss_rec_sfr: 0.0699 (0.0725) loss_cl: -0.3673 (-0.3674) time: 0.8644 data: 0.0002 max mem: 29859 [18:53:38.110967] Epoch: [309] [380/850] eta: 0:06:49 lr: 0.001730 loss: 0.0164 (0.0161) loss_rec_all: 0.0527 (0.0523) loss_rec_sfr: 0.0562 (0.0721) loss_cl: -0.3676 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [18:53:55.382229] Epoch: [309] [400/850] eta: 0:06:31 lr: 0.001729 loss: 0.0156 (0.0161) loss_rec_all: 0.0519 (0.0523) loss_rec_sfr: 0.0567 (0.0716) loss_cl: -0.3673 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [18:54:12.638110] Epoch: [309] [420/850] eta: 0:06:14 lr: 0.001729 loss: 0.0156 (0.0161) loss_rec_all: 0.0517 (0.0523) loss_rec_sfr: 0.0764 (0.0719) loss_cl: -0.3675 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [18:54:29.918245] Epoch: [309] [440/850] eta: 0:05:56 lr: 0.001729 loss: 0.0148 (0.0160) loss_rec_all: 0.0511 (0.0523) loss_rec_sfr: 0.0579 (0.0719) loss_cl: -0.3675 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [18:54:47.182159] Epoch: [309] [460/850] eta: 0:05:39 lr: 0.001729 loss: 0.0159 (0.0161) loss_rec_all: 0.0520 (0.0523) loss_rec_sfr: 0.0556 (0.0720) loss_cl: -0.3671 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [18:55:04.461723] Epoch: [309] [480/850] eta: 0:05:21 lr: 0.001729 loss: 0.0145 (0.0160) loss_rec_all: 0.0508 (0.0523) loss_rec_sfr: 0.0568 (0.0720) loss_cl: -0.3670 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [18:55:21.707040] Epoch: [309] [500/850] eta: 0:05:04 lr: 0.001729 loss: 0.0150 (0.0160) loss_rec_all: 0.0513 (0.0522) loss_rec_sfr: 0.0726 (0.0718) loss_cl: -0.3671 (-0.3673) time: 0.8622 data: 0.0003 max mem: 29859 [18:55:38.999813] Epoch: [309] [520/850] eta: 0:04:46 lr: 0.001729 loss: 0.0141 (0.0160) loss_rec_all: 0.0504 (0.0522) loss_rec_sfr: 0.0552 (0.0716) loss_cl: -0.3671 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [18:55:56.229900] Epoch: [309] [540/850] eta: 0:04:29 lr: 0.001729 loss: 0.0143 (0.0159) loss_rec_all: 0.0506 (0.0522) loss_rec_sfr: 0.0512 (0.0716) loss_cl: -0.3676 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [18:56:13.510836] Epoch: [309] [560/850] eta: 0:04:11 lr: 0.001729 loss: 0.0142 (0.0159) loss_rec_all: 0.0506 (0.0521) loss_rec_sfr: 0.0609 (0.0716) loss_cl: -0.3677 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [18:56:30.732641] Epoch: [309] [580/850] eta: 0:03:54 lr: 0.001728 loss: 0.0150 (0.0159) loss_rec_all: 0.0511 (0.0521) loss_rec_sfr: 0.0570 (0.0715) loss_cl: -0.3672 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [18:56:48.015384] Epoch: [309] [600/850] eta: 0:03:37 lr: 0.001728 loss: 0.0156 (0.0159) loss_rec_all: 0.0517 (0.0521) loss_rec_sfr: 0.0567 (0.0714) loss_cl: -0.3671 (-0.3673) time: 0.8641 data: 0.0003 max mem: 29859 [18:57:05.227900] Epoch: [309] [620/850] eta: 0:03:19 lr: 0.001728 loss: 0.0171 (0.0159) loss_rec_all: 0.0534 (0.0522) loss_rec_sfr: 0.0752 (0.0716) loss_cl: -0.3672 (-0.3673) time: 0.8606 data: 0.0002 max mem: 29859 [18:57:22.495857] Epoch: [309] [640/850] eta: 0:03:02 lr: 0.001728 loss: 0.0147 (0.0159) loss_rec_all: 0.0510 (0.0522) loss_rec_sfr: 0.0591 (0.0716) loss_cl: -0.3673 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [18:57:39.765055] Epoch: [309] [660/850] eta: 0:02:44 lr: 0.001728 loss: 0.0158 (0.0160) loss_rec_all: 0.0518 (0.0522) loss_rec_sfr: 0.0730 (0.0717) loss_cl: -0.3672 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [18:57:57.040201] Epoch: [309] [680/850] eta: 0:02:27 lr: 0.001728 loss: 0.0175 (0.0160) loss_rec_all: 0.0537 (0.0522) loss_rec_sfr: 0.0754 (0.0719) loss_cl: -0.3672 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [18:58:14.283413] Epoch: [309] [700/850] eta: 0:02:10 lr: 0.001728 loss: 0.0170 (0.0161) loss_rec_all: 0.0533 (0.0523) loss_rec_sfr: 0.0758 (0.0722) loss_cl: -0.3674 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [18:58:31.591578] Epoch: [309] [720/850] eta: 0:01:52 lr: 0.001728 loss: 0.0157 (0.0161) loss_rec_all: 0.0520 (0.0523) loss_rec_sfr: 0.0536 (0.0720) loss_cl: -0.3676 (-0.3673) time: 0.8654 data: 0.0002 max mem: 29859 [18:58:48.845843] Epoch: [309] [740/850] eta: 0:01:35 lr: 0.001728 loss: 0.0163 (0.0161) loss_rec_all: 0.0526 (0.0523) loss_rec_sfr: 0.0532 (0.0718) loss_cl: -0.3675 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [18:59:06.168811] Epoch: [309] [760/850] eta: 0:01:18 lr: 0.001728 loss: 0.0166 (0.0161) loss_rec_all: 0.0527 (0.0524) loss_rec_sfr: 0.0806 (0.0720) loss_cl: -0.3676 (-0.3673) time: 0.8661 data: 0.0003 max mem: 29859 [18:59:23.447546] Epoch: [309] [780/850] eta: 0:01:00 lr: 0.001727 loss: 0.0152 (0.0161) loss_rec_all: 0.0517 (0.0524) loss_rec_sfr: 0.0607 (0.0723) loss_cl: -0.3676 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [18:59:40.766460] Epoch: [309] [800/850] eta: 0:00:43 lr: 0.001727 loss: 0.0158 (0.0162) loss_rec_all: 0.0522 (0.0524) loss_rec_sfr: 0.0603 (0.0722) loss_cl: -0.3674 (-0.3673) time: 0.8659 data: 0.0003 max mem: 29859 [18:59:58.014750] Epoch: [309] [820/850] eta: 0:00:26 lr: 0.001727 loss: 0.0155 (0.0162) loss_rec_all: 0.0516 (0.0524) loss_rec_sfr: 0.0630 (0.0722) loss_cl: -0.3675 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [19:00:15.306219] Epoch: [309] [840/850] eta: 0:00:08 lr: 0.001727 loss: 0.0151 (0.0162) loss_rec_all: 0.0513 (0.0524) loss_rec_sfr: 0.0718 (0.0722) loss_cl: -0.3679 (-0.3674) time: 0.8645 data: 0.0005 max mem: 29859 [19:00:23.072303] Epoch: [309] [849/850] eta: 0:00:00 lr: 0.001727 loss: 0.0152 (0.0162) loss_rec_all: 0.0516 (0.0524) loss_rec_sfr: 0.0585 (0.0721) loss_cl: -0.3680 (-0.3674) time: 0.8644 data: 0.0005 max mem: 29859 [19:00:23.230227] Epoch: [309] Total time: 0:12:17 (0.8673 s / it) [19:00:23.234166] Averaged stats: lr: 0.001727 loss: 0.0152 (0.0161) loss_rec_all: 0.0516 (0.0523) loss_rec_sfr: 0.0585 (0.0727) loss_cl: -0.3680 (-0.3673) [19:00:23.255057] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [19:00:27.655265] Epoch: [310] [ 0/850] eta: 1:02:19 lr: 0.001727 loss: 0.0116 (0.0116) loss_rec_all: 0.0479 (0.0479) loss_rec_sfr: 0.0546 (0.0546) loss_cl: -0.3671 (-0.3671) time: 4.3991 data: 3.5430 max mem: 29859 [19:00:44.876866] Epoch: [310] [ 20/850] eta: 0:14:14 lr: 0.001727 loss: 0.0151 (0.0147) loss_rec_all: 0.0511 (0.0510) loss_rec_sfr: 0.0704 (0.0716) loss_cl: -0.3678 (-0.3676) time: 0.8610 data: 0.0002 max mem: 29859 [19:01:02.165757] Epoch: [310] [ 40/850] eta: 0:12:48 lr: 0.001727 loss: 0.0158 (0.0155) loss_rec_all: 0.0517 (0.0517) loss_rec_sfr: 0.0797 (0.0752) loss_cl: -0.3677 (-0.3677) time: 0.8644 data: 0.0002 max mem: 29859 [19:01:19.416966] Epoch: [310] [ 60/850] eta: 0:12:07 lr: 0.001727 loss: 0.0152 (0.0154) loss_rec_all: 0.0512 (0.0517) loss_rec_sfr: 0.0605 (0.0750) loss_cl: -0.3680 (-0.3678) time: 0.8625 data: 0.0002 max mem: 29859 [19:01:36.717516] Epoch: [310] [ 80/850] eta: 0:11:38 lr: 0.001727 loss: 0.0143 (0.0152) loss_rec_all: 0.0508 (0.0515) loss_rec_sfr: 0.0501 (0.0719) loss_cl: -0.3680 (-0.3678) time: 0.8650 data: 0.0002 max mem: 29859 [19:01:53.964813] Epoch: [310] [100/850] eta: 0:11:13 lr: 0.001727 loss: 0.0146 (0.0154) loss_rec_all: 0.0508 (0.0517) loss_rec_sfr: 0.0752 (0.0726) loss_cl: -0.3680 (-0.3678) time: 0.8623 data: 0.0002 max mem: 29859 [19:02:11.255807] Epoch: [310] [120/850] eta: 0:10:51 lr: 0.001726 loss: 0.0150 (0.0155) loss_rec_all: 0.0511 (0.0518) loss_rec_sfr: 0.0797 (0.0733) loss_cl: -0.3673 (-0.3677) time: 0.8645 data: 0.0002 max mem: 29859 [19:02:28.529622] Epoch: [310] [140/850] eta: 0:10:30 lr: 0.001726 loss: 0.0163 (0.0157) loss_rec_all: 0.0522 (0.0519) loss_rec_sfr: 0.0717 (0.0735) loss_cl: -0.3665 (-0.3675) time: 0.8636 data: 0.0002 max mem: 29859 [19:02:45.808222] Epoch: [310] [160/850] eta: 0:10:10 lr: 0.001726 loss: 0.0160 (0.0158) loss_rec_all: 0.0522 (0.0520) loss_rec_sfr: 0.0581 (0.0733) loss_cl: -0.3662 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [19:03:03.053923] Epoch: [310] [180/850] eta: 0:09:51 lr: 0.001726 loss: 0.0160 (0.0159) loss_rec_all: 0.0522 (0.0521) loss_rec_sfr: 0.0561 (0.0727) loss_cl: -0.3667 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [19:03:20.328848] Epoch: [310] [200/850] eta: 0:09:32 lr: 0.001726 loss: 0.0157 (0.0159) loss_rec_all: 0.0518 (0.0521) loss_rec_sfr: 0.0567 (0.0722) loss_cl: -0.3674 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [19:03:37.572312] Epoch: [310] [220/850] eta: 0:09:13 lr: 0.001726 loss: 0.0150 (0.0159) loss_rec_all: 0.0514 (0.0521) loss_rec_sfr: 0.0553 (0.0721) loss_cl: -0.3679 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [19:03:54.862983] Epoch: [310] [240/850] eta: 0:08:55 lr: 0.001726 loss: 0.0134 (0.0158) loss_rec_all: 0.0499 (0.0520) loss_rec_sfr: 0.0555 (0.0721) loss_cl: -0.3683 (-0.3674) time: 0.8644 data: 0.0002 max mem: 29859 [19:04:12.105394] Epoch: [310] [260/850] eta: 0:08:37 lr: 0.001726 loss: 0.0149 (0.0157) loss_rec_all: 0.0512 (0.0520) loss_rec_sfr: 0.0757 (0.0724) loss_cl: -0.3677 (-0.3675) time: 0.8621 data: 0.0002 max mem: 29859 [19:04:29.364348] Epoch: [310] [280/850] eta: 0:08:19 lr: 0.001726 loss: 0.0148 (0.0157) loss_rec_all: 0.0508 (0.0520) loss_rec_sfr: 0.0769 (0.0727) loss_cl: -0.3674 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [19:04:46.593729] Epoch: [310] [300/850] eta: 0:08:01 lr: 0.001725 loss: 0.0143 (0.0157) loss_rec_all: 0.0506 (0.0519) loss_rec_sfr: 0.0544 (0.0723) loss_cl: -0.3667 (-0.3674) time: 0.8614 data: 0.0002 max mem: 29859 [19:05:03.864799] Epoch: [310] [320/850] eta: 0:07:43 lr: 0.001725 loss: 0.0144 (0.0156) loss_rec_all: 0.0505 (0.0519) loss_rec_sfr: 0.0556 (0.0721) loss_cl: -0.3665 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [19:05:21.096949] Epoch: [310] [340/850] eta: 0:07:25 lr: 0.001725 loss: 0.0143 (0.0156) loss_rec_all: 0.0507 (0.0518) loss_rec_sfr: 0.0568 (0.0721) loss_cl: -0.3675 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [19:05:38.371523] Epoch: [310] [360/850] eta: 0:07:07 lr: 0.001725 loss: 0.0163 (0.0157) loss_rec_all: 0.0523 (0.0519) loss_rec_sfr: 0.0589 (0.0721) loss_cl: -0.3682 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [19:05:55.631596] Epoch: [310] [380/850] eta: 0:06:49 lr: 0.001725 loss: 0.0142 (0.0157) loss_rec_all: 0.0504 (0.0519) loss_rec_sfr: 0.0568 (0.0721) loss_cl: -0.3678 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [19:06:12.909732] Epoch: [310] [400/850] eta: 0:06:32 lr: 0.001725 loss: 0.0152 (0.0157) loss_rec_all: 0.0513 (0.0519) loss_rec_sfr: 0.0555 (0.0719) loss_cl: -0.3674 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [19:06:30.140992] Epoch: [310] [420/850] eta: 0:06:14 lr: 0.001725 loss: 0.0167 (0.0158) loss_rec_all: 0.0530 (0.0520) loss_rec_sfr: 0.0566 (0.0720) loss_cl: -0.3670 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [19:06:47.412768] Epoch: [310] [440/850] eta: 0:05:57 lr: 0.001725 loss: 0.0170 (0.0158) loss_rec_all: 0.0530 (0.0521) loss_rec_sfr: 0.0889 (0.0726) loss_cl: -0.3667 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [19:07:04.662125] Epoch: [310] [460/850] eta: 0:05:39 lr: 0.001725 loss: 0.0160 (0.0158) loss_rec_all: 0.0523 (0.0521) loss_rec_sfr: 0.0541 (0.0726) loss_cl: -0.3669 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [19:07:21.962489] Epoch: [310] [480/850] eta: 0:05:22 lr: 0.001725 loss: 0.0151 (0.0158) loss_rec_all: 0.0513 (0.0521) loss_rec_sfr: 0.0757 (0.0728) loss_cl: -0.3677 (-0.3673) time: 0.8649 data: 0.0003 max mem: 29859 [19:07:39.207727] Epoch: [310] [500/850] eta: 0:05:04 lr: 0.001724 loss: 0.0137 (0.0158) loss_rec_all: 0.0500 (0.0520) loss_rec_sfr: 0.0518 (0.0725) loss_cl: -0.3674 (-0.3673) time: 0.8622 data: 0.0003 max mem: 29859 [19:07:56.499761] Epoch: [310] [520/850] eta: 0:04:47 lr: 0.001724 loss: 0.0150 (0.0158) loss_rec_all: 0.0513 (0.0520) loss_rec_sfr: 0.0528 (0.0722) loss_cl: -0.3674 (-0.3673) time: 0.8645 data: 0.0003 max mem: 29859 [19:08:13.742673] Epoch: [310] [540/850] eta: 0:04:29 lr: 0.001724 loss: 0.0138 (0.0157) loss_rec_all: 0.0503 (0.0519) loss_rec_sfr: 0.0576 (0.0723) loss_cl: -0.3674 (-0.3673) time: 0.8621 data: 0.0003 max mem: 29859 [19:08:31.033649] Epoch: [310] [560/850] eta: 0:04:12 lr: 0.001724 loss: 0.0150 (0.0157) loss_rec_all: 0.0512 (0.0519) loss_rec_sfr: 0.0573 (0.0722) loss_cl: -0.3674 (-0.3673) time: 0.8645 data: 0.0003 max mem: 29859 [19:08:48.280224] Epoch: [310] [580/850] eta: 0:03:54 lr: 0.001724 loss: 0.0139 (0.0157) loss_rec_all: 0.0502 (0.0519) loss_rec_sfr: 0.0515 (0.0719) loss_cl: -0.3673 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [19:09:05.569511] Epoch: [310] [600/850] eta: 0:03:37 lr: 0.001724 loss: 0.0180 (0.0158) loss_rec_all: 0.0539 (0.0520) loss_rec_sfr: 0.0775 (0.0722) loss_cl: -0.3668 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [19:09:22.839757] Epoch: [310] [620/850] eta: 0:03:19 lr: 0.001724 loss: 0.0164 (0.0158) loss_rec_all: 0.0524 (0.0520) loss_rec_sfr: 0.0606 (0.0722) loss_cl: -0.3673 (-0.3673) time: 0.8635 data: 0.0003 max mem: 29859 [19:09:40.148800] Epoch: [310] [640/850] eta: 0:03:02 lr: 0.001724 loss: 0.0154 (0.0158) loss_rec_all: 0.0517 (0.0520) loss_rec_sfr: 0.0581 (0.0720) loss_cl: -0.3673 (-0.3673) time: 0.8654 data: 0.0002 max mem: 29859 [19:09:57.401876] Epoch: [310] [660/850] eta: 0:02:45 lr: 0.001724 loss: 0.0145 (0.0158) loss_rec_all: 0.0508 (0.0520) loss_rec_sfr: 0.0552 (0.0720) loss_cl: -0.3673 (-0.3673) time: 0.8626 data: 0.0004 max mem: 29859 [19:10:14.689656] Epoch: [310] [680/850] eta: 0:02:27 lr: 0.001723 loss: 0.0154 (0.0158) loss_rec_all: 0.0515 (0.0520) loss_rec_sfr: 0.0526 (0.0720) loss_cl: -0.3672 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [19:10:31.951828] Epoch: [310] [700/850] eta: 0:02:10 lr: 0.001723 loss: 0.0151 (0.0158) loss_rec_all: 0.0513 (0.0520) loss_rec_sfr: 0.0619 (0.0720) loss_cl: -0.3670 (-0.3673) time: 0.8630 data: 0.0003 max mem: 29859 [19:10:49.244054] Epoch: [310] [720/850] eta: 0:01:52 lr: 0.001723 loss: 0.0147 (0.0158) loss_rec_all: 0.0511 (0.0520) loss_rec_sfr: 0.0532 (0.0719) loss_cl: -0.3668 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [19:11:06.513927] Epoch: [310] [740/850] eta: 0:01:35 lr: 0.001723 loss: 0.0148 (0.0158) loss_rec_all: 0.0511 (0.0520) loss_rec_sfr: 0.0703 (0.0719) loss_cl: -0.3670 (-0.3673) time: 0.8634 data: 0.0003 max mem: 29859 [19:11:23.791124] Epoch: [310] [760/850] eta: 0:01:18 lr: 0.001723 loss: 0.0137 (0.0157) loss_rec_all: 0.0500 (0.0520) loss_rec_sfr: 0.0538 (0.0718) loss_cl: -0.3673 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [19:11:41.037004] Epoch: [310] [780/850] eta: 0:01:00 lr: 0.001723 loss: 0.0157 (0.0158) loss_rec_all: 0.0520 (0.0520) loss_rec_sfr: 0.0744 (0.0719) loss_cl: -0.3671 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [19:11:58.318545] Epoch: [310] [800/850] eta: 0:00:43 lr: 0.001723 loss: 0.0174 (0.0158) loss_rec_all: 0.0534 (0.0520) loss_rec_sfr: 0.0833 (0.0722) loss_cl: -0.3673 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [19:12:15.576382] Epoch: [310] [820/850] eta: 0:00:26 lr: 0.001723 loss: 0.0164 (0.0158) loss_rec_all: 0.0526 (0.0520) loss_rec_sfr: 0.0593 (0.0722) loss_cl: -0.3675 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [19:12:32.871184] Epoch: [310] [840/850] eta: 0:00:08 lr: 0.001723 loss: 0.0179 (0.0159) loss_rec_all: 0.0541 (0.0521) loss_rec_sfr: 0.0785 (0.0724) loss_cl: -0.3678 (-0.3673) time: 0.8647 data: 0.0006 max mem: 29859 [19:12:40.632421] Epoch: [310] [849/850] eta: 0:00:00 lr: 0.001723 loss: 0.0177 (0.0159) loss_rec_all: 0.0539 (0.0521) loss_rec_sfr: 0.0765 (0.0725) loss_cl: -0.3685 (-0.3673) time: 0.8638 data: 0.0005 max mem: 29859 [19:12:40.786873] Epoch: [310] Total time: 0:12:17 (0.8677 s / it) [19:12:40.789455] Averaged stats: lr: 0.001723 loss: 0.0177 (0.0161) loss_rec_all: 0.0539 (0.0523) loss_rec_sfr: 0.0765 (0.0728) loss_cl: -0.3685 (-0.3673) [19:12:40.801388] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [19:12:46.641956] Epoch: [311] [ 0/850] eta: 1:22:43 lr: 0.001723 loss: 0.0156 (0.0156) loss_rec_all: 0.0522 (0.0522) loss_rec_sfr: 0.0473 (0.0473) loss_cl: -0.3688 (-0.3688) time: 5.8395 data: 4.8338 max mem: 29859 [19:13:03.864687] Epoch: [311] [ 20/850] eta: 0:15:11 lr: 0.001722 loss: 0.0158 (0.0167) loss_rec_all: 0.0522 (0.0530) loss_rec_sfr: 0.0610 (0.0695) loss_cl: -0.3683 (-0.3682) time: 0.8611 data: 0.0002 max mem: 29859 [19:13:21.093782] Epoch: [311] [ 40/850] eta: 0:13:15 lr: 0.001722 loss: 0.0173 (0.0173) loss_rec_all: 0.0536 (0.0535) loss_rec_sfr: 0.0913 (0.0788) loss_cl: -0.3677 (-0.3680) time: 0.8614 data: 0.0002 max mem: 29859 [19:13:38.331273] Epoch: [311] [ 60/850] eta: 0:12:25 lr: 0.001722 loss: 0.0152 (0.0169) loss_rec_all: 0.0517 (0.0532) loss_rec_sfr: 0.0561 (0.0743) loss_cl: -0.3677 (-0.3679) time: 0.8618 data: 0.0003 max mem: 29859 [19:13:55.584655] Epoch: [311] [ 80/850] eta: 0:11:50 lr: 0.001722 loss: 0.0155 (0.0169) loss_rec_all: 0.0516 (0.0532) loss_rec_sfr: 0.0821 (0.0753) loss_cl: -0.3669 (-0.3676) time: 0.8626 data: 0.0002 max mem: 29859 [19:14:12.814637] Epoch: [311] [100/850] eta: 0:11:23 lr: 0.001722 loss: 0.0148 (0.0167) loss_rec_all: 0.0511 (0.0530) loss_rec_sfr: 0.0574 (0.0738) loss_cl: -0.3669 (-0.3675) time: 0.8614 data: 0.0002 max mem: 29859 [19:14:30.102067] Epoch: [311] [120/850] eta: 0:10:59 lr: 0.001722 loss: 0.0149 (0.0166) loss_rec_all: 0.0513 (0.0529) loss_rec_sfr: 0.0749 (0.0730) loss_cl: -0.3667 (-0.3673) time: 0.8643 data: 0.0003 max mem: 29859 [19:14:47.343583] Epoch: [311] [140/850] eta: 0:10:37 lr: 0.001722 loss: 0.0152 (0.0165) loss_rec_all: 0.0515 (0.0527) loss_rec_sfr: 0.0573 (0.0729) loss_cl: -0.3670 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [19:15:04.629836] Epoch: [311] [160/850] eta: 0:10:16 lr: 0.001722 loss: 0.0143 (0.0163) loss_rec_all: 0.0509 (0.0526) loss_rec_sfr: 0.0523 (0.0723) loss_cl: -0.3681 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [19:15:21.876605] Epoch: [311] [180/850] eta: 0:09:56 lr: 0.001722 loss: 0.0152 (0.0164) loss_rec_all: 0.0514 (0.0526) loss_rec_sfr: 0.0799 (0.0728) loss_cl: -0.3681 (-0.3675) time: 0.8623 data: 0.0003 max mem: 29859 [19:15:39.146616] Epoch: [311] [200/850] eta: 0:09:36 lr: 0.001722 loss: 0.0162 (0.0164) loss_rec_all: 0.0522 (0.0526) loss_rec_sfr: 0.0735 (0.0730) loss_cl: -0.3676 (-0.3675) time: 0.8634 data: 0.0002 max mem: 29859 [19:15:56.392242] Epoch: [311] [220/850] eta: 0:09:17 lr: 0.001721 loss: 0.0145 (0.0163) loss_rec_all: 0.0508 (0.0525) loss_rec_sfr: 0.0726 (0.0733) loss_cl: -0.3675 (-0.3675) time: 0.8622 data: 0.0002 max mem: 29859 [19:16:13.690012] Epoch: [311] [240/850] eta: 0:08:58 lr: 0.001721 loss: 0.0164 (0.0163) loss_rec_all: 0.0525 (0.0525) loss_rec_sfr: 0.0777 (0.0736) loss_cl: -0.3673 (-0.3675) time: 0.8648 data: 0.0003 max mem: 29859 [19:16:30.928524] Epoch: [311] [260/850] eta: 0:08:40 lr: 0.001721 loss: 0.0150 (0.0162) loss_rec_all: 0.0513 (0.0525) loss_rec_sfr: 0.0574 (0.0736) loss_cl: -0.3677 (-0.3675) time: 0.8619 data: 0.0002 max mem: 29859 [19:16:48.197090] Epoch: [311] [280/850] eta: 0:08:21 lr: 0.001721 loss: 0.0154 (0.0162) loss_rec_all: 0.0515 (0.0524) loss_rec_sfr: 0.0594 (0.0735) loss_cl: -0.3676 (-0.3675) time: 0.8634 data: 0.0002 max mem: 29859 [19:17:05.418931] Epoch: [311] [300/850] eta: 0:08:03 lr: 0.001721 loss: 0.0156 (0.0162) loss_rec_all: 0.0520 (0.0524) loss_rec_sfr: 0.0581 (0.0729) loss_cl: -0.3673 (-0.3675) time: 0.8610 data: 0.0002 max mem: 29859 [19:17:22.683676] Epoch: [311] [320/850] eta: 0:07:45 lr: 0.001721 loss: 0.0148 (0.0161) loss_rec_all: 0.0510 (0.0524) loss_rec_sfr: 0.0741 (0.0731) loss_cl: -0.3673 (-0.3675) time: 0.8632 data: 0.0002 max mem: 29859 [19:17:39.927372] Epoch: [311] [340/850] eta: 0:07:27 lr: 0.001721 loss: 0.0155 (0.0162) loss_rec_all: 0.0518 (0.0524) loss_rec_sfr: 0.0746 (0.0731) loss_cl: -0.3666 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [19:17:57.234380] Epoch: [311] [360/850] eta: 0:07:09 lr: 0.001721 loss: 0.0153 (0.0161) loss_rec_all: 0.0514 (0.0524) loss_rec_sfr: 0.0560 (0.0730) loss_cl: -0.3663 (-0.3674) time: 0.8653 data: 0.0002 max mem: 29859 [19:18:14.478558] Epoch: [311] [380/850] eta: 0:06:51 lr: 0.001721 loss: 0.0156 (0.0161) loss_rec_all: 0.0519 (0.0523) loss_rec_sfr: 0.0728 (0.0731) loss_cl: -0.3668 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [19:18:31.753192] Epoch: [311] [400/850] eta: 0:06:33 lr: 0.001720 loss: 0.0143 (0.0161) loss_rec_all: 0.0506 (0.0523) loss_rec_sfr: 0.0605 (0.0729) loss_cl: -0.3675 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [19:18:48.999712] Epoch: [311] [420/850] eta: 0:06:16 lr: 0.001720 loss: 0.0145 (0.0160) loss_rec_all: 0.0509 (0.0522) loss_rec_sfr: 0.0561 (0.0726) loss_cl: -0.3678 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [19:19:06.280226] Epoch: [311] [440/850] eta: 0:05:58 lr: 0.001720 loss: 0.0145 (0.0160) loss_rec_all: 0.0509 (0.0522) loss_rec_sfr: 0.0521 (0.0723) loss_cl: -0.3676 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [19:19:23.525620] Epoch: [311] [460/850] eta: 0:05:40 lr: 0.001720 loss: 0.0150 (0.0160) loss_rec_all: 0.0514 (0.0522) loss_rec_sfr: 0.0565 (0.0721) loss_cl: -0.3678 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [19:19:40.790050] Epoch: [311] [480/850] eta: 0:05:23 lr: 0.001720 loss: 0.0158 (0.0160) loss_rec_all: 0.0520 (0.0522) loss_rec_sfr: 0.0743 (0.0724) loss_cl: -0.3670 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [19:19:58.030284] Epoch: [311] [500/850] eta: 0:05:05 lr: 0.001720 loss: 0.0137 (0.0159) loss_rec_all: 0.0498 (0.0522) loss_rec_sfr: 0.0539 (0.0723) loss_cl: -0.3682 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [19:20:15.314136] Epoch: [311] [520/850] eta: 0:04:47 lr: 0.001720 loss: 0.0139 (0.0159) loss_rec_all: 0.0504 (0.0522) loss_rec_sfr: 0.0564 (0.0724) loss_cl: -0.3682 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [19:20:32.542837] Epoch: [311] [540/850] eta: 0:04:30 lr: 0.001720 loss: 0.0162 (0.0160) loss_rec_all: 0.0524 (0.0522) loss_rec_sfr: 0.0760 (0.0725) loss_cl: -0.3677 (-0.3674) time: 0.8614 data: 0.0002 max mem: 29859 [19:20:49.829137] Epoch: [311] [560/850] eta: 0:04:12 lr: 0.001720 loss: 0.0157 (0.0160) loss_rec_all: 0.0517 (0.0522) loss_rec_sfr: 0.0743 (0.0728) loss_cl: -0.3669 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [19:21:07.083636] Epoch: [311] [580/850] eta: 0:03:55 lr: 0.001720 loss: 0.0155 (0.0160) loss_rec_all: 0.0518 (0.0522) loss_rec_sfr: 0.0612 (0.0728) loss_cl: -0.3668 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [19:21:24.355911] Epoch: [311] [600/850] eta: 0:03:37 lr: 0.001719 loss: 0.0138 (0.0159) loss_rec_all: 0.0500 (0.0521) loss_rec_sfr: 0.0510 (0.0723) loss_cl: -0.3664 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [19:21:41.572597] Epoch: [311] [620/850] eta: 0:03:20 lr: 0.001719 loss: 0.0143 (0.0159) loss_rec_all: 0.0506 (0.0521) loss_rec_sfr: 0.0859 (0.0726) loss_cl: -0.3671 (-0.3673) time: 0.8608 data: 0.0002 max mem: 29859 [19:21:58.843609] Epoch: [311] [640/850] eta: 0:03:02 lr: 0.001719 loss: 0.0156 (0.0159) loss_rec_all: 0.0515 (0.0521) loss_rec_sfr: 0.0745 (0.0728) loss_cl: -0.3667 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [19:22:16.089300] Epoch: [311] [660/850] eta: 0:02:45 lr: 0.001719 loss: 0.0150 (0.0159) loss_rec_all: 0.0510 (0.0521) loss_rec_sfr: 0.0564 (0.0728) loss_cl: -0.3671 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [19:22:33.367726] Epoch: [311] [680/850] eta: 0:02:27 lr: 0.001719 loss: 0.0173 (0.0159) loss_rec_all: 0.0535 (0.0521) loss_rec_sfr: 0.0756 (0.0730) loss_cl: -0.3672 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [19:22:50.619048] Epoch: [311] [700/850] eta: 0:02:10 lr: 0.001719 loss: 0.0152 (0.0159) loss_rec_all: 0.0514 (0.0522) loss_rec_sfr: 0.0766 (0.0732) loss_cl: -0.3675 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [19:23:07.902131] Epoch: [311] [720/850] eta: 0:01:53 lr: 0.001719 loss: 0.0144 (0.0159) loss_rec_all: 0.0508 (0.0521) loss_rec_sfr: 0.0590 (0.0730) loss_cl: -0.3679 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [19:23:25.143218] Epoch: [311] [740/850] eta: 0:01:35 lr: 0.001719 loss: 0.0147 (0.0159) loss_rec_all: 0.0509 (0.0521) loss_rec_sfr: 0.0599 (0.0730) loss_cl: -0.3678 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [19:23:42.418896] Epoch: [311] [760/850] eta: 0:01:18 lr: 0.001719 loss: 0.0154 (0.0159) loss_rec_all: 0.0515 (0.0521) loss_rec_sfr: 0.0569 (0.0729) loss_cl: -0.3672 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [19:23:59.661502] Epoch: [311] [780/850] eta: 0:01:00 lr: 0.001718 loss: 0.0160 (0.0159) loss_rec_all: 0.0521 (0.0521) loss_rec_sfr: 0.0795 (0.0730) loss_cl: -0.3672 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [19:24:16.941311] Epoch: [311] [800/850] eta: 0:00:43 lr: 0.001718 loss: 0.0180 (0.0160) loss_rec_all: 0.0540 (0.0522) loss_rec_sfr: 0.0835 (0.0734) loss_cl: -0.3672 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [19:24:34.179337] Epoch: [311] [820/850] eta: 0:00:26 lr: 0.001718 loss: 0.0166 (0.0160) loss_rec_all: 0.0529 (0.0522) loss_rec_sfr: 0.0594 (0.0734) loss_cl: -0.3678 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [19:24:51.457803] Epoch: [311] [840/850] eta: 0:00:08 lr: 0.001718 loss: 0.0160 (0.0160) loss_rec_all: 0.0520 (0.0522) loss_rec_sfr: 0.0862 (0.0736) loss_cl: -0.3677 (-0.3673) time: 0.8639 data: 0.0005 max mem: 29859 [19:24:59.211270] Epoch: [311] [849/850] eta: 0:00:00 lr: 0.001718 loss: 0.0146 (0.0160) loss_rec_all: 0.0511 (0.0522) loss_rec_sfr: 0.0535 (0.0735) loss_cl: -0.3678 (-0.3673) time: 0.8633 data: 0.0004 max mem: 29859 [19:24:59.325636] Epoch: [311] Total time: 0:12:18 (0.8689 s / it) [19:24:59.327441] Averaged stats: lr: 0.001718 loss: 0.0146 (0.0160) loss_rec_all: 0.0511 (0.0522) loss_rec_sfr: 0.0535 (0.0728) loss_cl: -0.3678 (-0.3673) [19:24:59.336701] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [19:25:03.617980] Epoch: [312] [ 0/850] eta: 1:00:38 lr: 0.001718 loss: 0.0141 (0.0141) loss_rec_all: 0.0504 (0.0504) loss_rec_sfr: 0.0578 (0.0578) loss_cl: -0.3676 (-0.3676) time: 4.2804 data: 3.4165 max mem: 29859 [19:25:20.863775] Epoch: [312] [ 20/850] eta: 0:14:10 lr: 0.001718 loss: 0.0156 (0.0163) loss_rec_all: 0.0515 (0.0526) loss_rec_sfr: 0.0765 (0.0710) loss_cl: -0.3674 (-0.3674) time: 0.8622 data: 0.0003 max mem: 29859 [19:25:38.135546] Epoch: [312] [ 40/850] eta: 0:12:46 lr: 0.001718 loss: 0.0153 (0.0163) loss_rec_all: 0.0516 (0.0525) loss_rec_sfr: 0.0866 (0.0768) loss_cl: -0.3676 (-0.3675) time: 0.8635 data: 0.0002 max mem: 29859 [19:25:55.391380] Epoch: [312] [ 60/850] eta: 0:12:05 lr: 0.001718 loss: 0.0151 (0.0161) loss_rec_all: 0.0515 (0.0524) loss_rec_sfr: 0.0799 (0.0771) loss_cl: -0.3676 (-0.3676) time: 0.8627 data: 0.0002 max mem: 29859 [19:26:12.672817] Epoch: [312] [ 80/850] eta: 0:11:37 lr: 0.001718 loss: 0.0151 (0.0161) loss_rec_all: 0.0516 (0.0524) loss_rec_sfr: 0.0769 (0.0771) loss_cl: -0.3677 (-0.3676) time: 0.8640 data: 0.0002 max mem: 29859 [19:26:29.918622] Epoch: [312] [100/850] eta: 0:11:12 lr: 0.001718 loss: 0.0149 (0.0159) loss_rec_all: 0.0510 (0.0521) loss_rec_sfr: 0.0740 (0.0762) loss_cl: -0.3675 (-0.3676) time: 0.8622 data: 0.0002 max mem: 29859 [19:26:47.196348] Epoch: [312] [120/850] eta: 0:10:50 lr: 0.001717 loss: 0.0147 (0.0158) loss_rec_all: 0.0510 (0.0520) loss_rec_sfr: 0.0837 (0.0763) loss_cl: -0.3676 (-0.3676) time: 0.8638 data: 0.0002 max mem: 29859 [19:27:04.429057] Epoch: [312] [140/850] eta: 0:10:29 lr: 0.001717 loss: 0.0155 (0.0158) loss_rec_all: 0.0516 (0.0520) loss_rec_sfr: 0.0734 (0.0765) loss_cl: -0.3671 (-0.3675) time: 0.8616 data: 0.0002 max mem: 29859 [19:27:21.711176] Epoch: [312] [160/850] eta: 0:10:10 lr: 0.001717 loss: 0.0146 (0.0157) loss_rec_all: 0.0508 (0.0519) loss_rec_sfr: 0.0742 (0.0760) loss_cl: -0.3672 (-0.3675) time: 0.8641 data: 0.0002 max mem: 29859 [19:27:38.958075] Epoch: [312] [180/850] eta: 0:09:50 lr: 0.001717 loss: 0.0152 (0.0157) loss_rec_all: 0.0513 (0.0519) loss_rec_sfr: 0.0756 (0.0756) loss_cl: -0.3673 (-0.3675) time: 0.8623 data: 0.0002 max mem: 29859 [19:27:56.243298] Epoch: [312] [200/850] eta: 0:09:32 lr: 0.001717 loss: 0.0162 (0.0159) loss_rec_all: 0.0523 (0.0521) loss_rec_sfr: 0.0745 (0.0755) loss_cl: -0.3673 (-0.3675) time: 0.8642 data: 0.0002 max mem: 29859 [19:28:13.498832] Epoch: [312] [220/850] eta: 0:09:13 lr: 0.001717 loss: 0.0159 (0.0159) loss_rec_all: 0.0521 (0.0521) loss_rec_sfr: 0.0767 (0.0758) loss_cl: -0.3678 (-0.3675) time: 0.8627 data: 0.0003 max mem: 29859 [19:28:30.784392] Epoch: [312] [240/850] eta: 0:08:55 lr: 0.001717 loss: 0.0157 (0.0159) loss_rec_all: 0.0520 (0.0521) loss_rec_sfr: 0.0541 (0.0752) loss_cl: -0.3678 (-0.3675) time: 0.8642 data: 0.0002 max mem: 29859 [19:28:48.031229] Epoch: [312] [260/850] eta: 0:08:36 lr: 0.001717 loss: 0.0158 (0.0159) loss_rec_all: 0.0518 (0.0521) loss_rec_sfr: 0.0736 (0.0751) loss_cl: -0.3673 (-0.3675) time: 0.8623 data: 0.0002 max mem: 29859 [19:29:05.308026] Epoch: [312] [280/850] eta: 0:08:18 lr: 0.001717 loss: 0.0154 (0.0159) loss_rec_all: 0.0516 (0.0521) loss_rec_sfr: 0.0638 (0.0750) loss_cl: -0.3668 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [19:29:22.573243] Epoch: [312] [300/850] eta: 0:08:00 lr: 0.001717 loss: 0.0163 (0.0159) loss_rec_all: 0.0524 (0.0521) loss_rec_sfr: 0.0936 (0.0758) loss_cl: -0.3671 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [19:29:39.854312] Epoch: [312] [320/850] eta: 0:07:43 lr: 0.001716 loss: 0.0169 (0.0160) loss_rec_all: 0.0528 (0.0522) loss_rec_sfr: 0.0778 (0.0760) loss_cl: -0.3668 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [19:29:57.111462] Epoch: [312] [340/850] eta: 0:07:25 lr: 0.001716 loss: 0.0167 (0.0160) loss_rec_all: 0.0528 (0.0522) loss_rec_sfr: 0.0864 (0.0767) loss_cl: -0.3665 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [19:30:14.400405] Epoch: [312] [360/850] eta: 0:07:07 lr: 0.001716 loss: 0.0139 (0.0159) loss_rec_all: 0.0501 (0.0521) loss_rec_sfr: 0.0618 (0.0764) loss_cl: -0.3671 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [19:30:31.669643] Epoch: [312] [380/850] eta: 0:06:49 lr: 0.001716 loss: 0.0152 (0.0159) loss_rec_all: 0.0513 (0.0521) loss_rec_sfr: 0.0607 (0.0759) loss_cl: -0.3667 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [19:30:48.992479] Epoch: [312] [400/850] eta: 0:06:32 lr: 0.001716 loss: 0.0170 (0.0161) loss_rec_all: 0.0532 (0.0523) loss_rec_sfr: 0.0849 (0.0760) loss_cl: -0.3668 (-0.3672) time: 0.8661 data: 0.0002 max mem: 29859 [19:31:06.286129] Epoch: [312] [420/850] eta: 0:06:14 lr: 0.001716 loss: 0.0156 (0.0161) loss_rec_all: 0.0519 (0.0523) loss_rec_sfr: 0.0768 (0.0760) loss_cl: -0.3671 (-0.3672) time: 0.8646 data: 0.0003 max mem: 29859 [19:31:23.619839] Epoch: [312] [440/850] eta: 0:05:57 lr: 0.001716 loss: 0.0151 (0.0161) loss_rec_all: 0.0514 (0.0523) loss_rec_sfr: 0.0527 (0.0756) loss_cl: -0.3674 (-0.3672) time: 0.8666 data: 0.0002 max mem: 29859 [19:31:40.911400] Epoch: [312] [460/850] eta: 0:05:39 lr: 0.001716 loss: 0.0154 (0.0161) loss_rec_all: 0.0517 (0.0523) loss_rec_sfr: 0.0596 (0.0754) loss_cl: -0.3681 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [19:31:58.223104] Epoch: [312] [480/850] eta: 0:05:22 lr: 0.001716 loss: 0.0160 (0.0161) loss_rec_all: 0.0523 (0.0523) loss_rec_sfr: 0.0797 (0.0754) loss_cl: -0.3682 (-0.3673) time: 0.8655 data: 0.0002 max mem: 29859 [19:32:15.485407] Epoch: [312] [500/850] eta: 0:05:04 lr: 0.001715 loss: 0.0171 (0.0162) loss_rec_all: 0.0532 (0.0524) loss_rec_sfr: 0.0915 (0.0759) loss_cl: -0.3677 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [19:32:32.791648] Epoch: [312] [520/850] eta: 0:04:47 lr: 0.001715 loss: 0.0157 (0.0162) loss_rec_all: 0.0521 (0.0524) loss_rec_sfr: 0.0582 (0.0756) loss_cl: -0.3676 (-0.3673) time: 0.8652 data: 0.0002 max mem: 29859 [19:32:50.047680] Epoch: [312] [540/850] eta: 0:04:29 lr: 0.001715 loss: 0.0167 (0.0162) loss_rec_all: 0.0529 (0.0524) loss_rec_sfr: 0.0788 (0.0757) loss_cl: -0.3672 (-0.3673) time: 0.8627 data: 0.0003 max mem: 29859 [19:33:07.369779] Epoch: [312] [560/850] eta: 0:04:12 lr: 0.001715 loss: 0.0171 (0.0163) loss_rec_all: 0.0533 (0.0525) loss_rec_sfr: 0.0734 (0.0757) loss_cl: -0.3677 (-0.3673) time: 0.8660 data: 0.0002 max mem: 29859 [19:33:24.663928] Epoch: [312] [580/850] eta: 0:03:54 lr: 0.001715 loss: 0.0162 (0.0163) loss_rec_all: 0.0526 (0.0525) loss_rec_sfr: 0.0639 (0.0758) loss_cl: -0.3680 (-0.3674) time: 0.8646 data: 0.0002 max mem: 29859 [19:33:41.973563] Epoch: [312] [600/850] eta: 0:03:37 lr: 0.001715 loss: 0.0170 (0.0163) loss_rec_all: 0.0532 (0.0525) loss_rec_sfr: 0.0753 (0.0761) loss_cl: -0.3679 (-0.3674) time: 0.8654 data: 0.0002 max mem: 29859 [19:33:59.220328] Epoch: [312] [620/850] eta: 0:03:19 lr: 0.001715 loss: 0.0172 (0.0164) loss_rec_all: 0.0535 (0.0526) loss_rec_sfr: 0.0763 (0.0761) loss_cl: -0.3677 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [19:34:16.529438] Epoch: [312] [640/850] eta: 0:03:02 lr: 0.001715 loss: 0.0153 (0.0164) loss_rec_all: 0.0512 (0.0526) loss_rec_sfr: 0.0566 (0.0758) loss_cl: -0.3671 (-0.3674) time: 0.8654 data: 0.0003 max mem: 29859 [19:34:33.778493] Epoch: [312] [660/850] eta: 0:02:45 lr: 0.001715 loss: 0.0154 (0.0164) loss_rec_all: 0.0516 (0.0526) loss_rec_sfr: 0.0530 (0.0756) loss_cl: -0.3666 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [19:34:51.082495] Epoch: [312] [680/850] eta: 0:02:27 lr: 0.001715 loss: 0.0168 (0.0164) loss_rec_all: 0.0530 (0.0526) loss_rec_sfr: 0.0598 (0.0757) loss_cl: -0.3669 (-0.3673) time: 0.8651 data: 0.0002 max mem: 29859 [19:35:08.343781] Epoch: [312] [700/850] eta: 0:02:10 lr: 0.001714 loss: 0.0152 (0.0163) loss_rec_all: 0.0514 (0.0525) loss_rec_sfr: 0.0773 (0.0758) loss_cl: -0.3679 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [19:35:25.636982] Epoch: [312] [720/850] eta: 0:01:52 lr: 0.001714 loss: 0.0150 (0.0163) loss_rec_all: 0.0513 (0.0525) loss_rec_sfr: 0.0734 (0.0757) loss_cl: -0.3681 (-0.3674) time: 0.8646 data: 0.0002 max mem: 29859 [19:35:42.908866] Epoch: [312] [740/850] eta: 0:01:35 lr: 0.001714 loss: 0.0153 (0.0163) loss_rec_all: 0.0514 (0.0525) loss_rec_sfr: 0.0572 (0.0757) loss_cl: -0.3679 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [19:36:00.214849] Epoch: [312] [760/850] eta: 0:01:18 lr: 0.001714 loss: 0.0140 (0.0162) loss_rec_all: 0.0503 (0.0524) loss_rec_sfr: 0.0529 (0.0756) loss_cl: -0.3675 (-0.3674) time: 0.8653 data: 0.0002 max mem: 29859 [19:36:17.477727] Epoch: [312] [780/850] eta: 0:01:00 lr: 0.001714 loss: 0.0164 (0.0162) loss_rec_all: 0.0524 (0.0525) loss_rec_sfr: 0.0809 (0.0757) loss_cl: -0.3671 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [19:36:34.768874] Epoch: [312] [800/850] eta: 0:00:43 lr: 0.001714 loss: 0.0159 (0.0163) loss_rec_all: 0.0522 (0.0525) loss_rec_sfr: 0.0781 (0.0757) loss_cl: -0.3666 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [19:36:52.036718] Epoch: [312] [820/850] eta: 0:00:26 lr: 0.001714 loss: 0.0166 (0.0163) loss_rec_all: 0.0525 (0.0525) loss_rec_sfr: 0.0581 (0.0755) loss_cl: -0.3670 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [19:37:09.324975] Epoch: [312] [840/850] eta: 0:00:08 lr: 0.001714 loss: 0.0145 (0.0163) loss_rec_all: 0.0509 (0.0525) loss_rec_sfr: 0.0539 (0.0753) loss_cl: -0.3676 (-0.3674) time: 0.8644 data: 0.0010 max mem: 29859 [19:37:17.092497] Epoch: [312] [849/850] eta: 0:00:00 lr: 0.001714 loss: 0.0158 (0.0163) loss_rec_all: 0.0519 (0.0525) loss_rec_sfr: 0.0809 (0.0755) loss_cl: -0.3680 (-0.3674) time: 0.8646 data: 0.0010 max mem: 29859 [19:37:17.262056] Epoch: [312] Total time: 0:12:17 (0.8681 s / it) [19:37:17.270149] Averaged stats: lr: 0.001714 loss: 0.0158 (0.0162) loss_rec_all: 0.0519 (0.0524) loss_rec_sfr: 0.0809 (0.0756) loss_cl: -0.3680 (-0.3673) [19:37:17.281770] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [19:37:22.821738] Epoch: [313] [ 0/850] eta: 1:18:26 lr: 0.001714 loss: 0.0158 (0.0158) loss_rec_all: 0.0523 (0.0523) loss_rec_sfr: 0.0619 (0.0619) loss_cl: -0.3690 (-0.3690) time: 5.5374 data: 4.1322 max mem: 29859 [19:37:40.027271] Epoch: [313] [ 20/850] eta: 0:14:58 lr: 0.001714 loss: 0.0144 (0.0155) loss_rec_all: 0.0510 (0.0518) loss_rec_sfr: 0.0582 (0.0726) loss_cl: -0.3678 (-0.3678) time: 0.8602 data: 0.0002 max mem: 29859 [19:37:57.290759] Epoch: [313] [ 40/850] eta: 0:13:10 lr: 0.001713 loss: 0.0151 (0.0156) loss_rec_all: 0.0516 (0.0518) loss_rec_sfr: 0.0569 (0.0704) loss_cl: -0.3679 (-0.3678) time: 0.8631 data: 0.0002 max mem: 29859 [19:38:14.539428] Epoch: [313] [ 60/850] eta: 0:12:21 lr: 0.001713 loss: 0.0147 (0.0154) loss_rec_all: 0.0510 (0.0517) loss_rec_sfr: 0.0535 (0.0693) loss_cl: -0.3673 (-0.3676) time: 0.8624 data: 0.0003 max mem: 29859 [19:38:31.820582] Epoch: [313] [ 80/850] eta: 0:11:48 lr: 0.001713 loss: 0.0154 (0.0155) loss_rec_all: 0.0514 (0.0518) loss_rec_sfr: 0.0780 (0.0716) loss_cl: -0.3668 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [19:38:49.067598] Epoch: [313] [100/850] eta: 0:11:21 lr: 0.001713 loss: 0.0152 (0.0155) loss_rec_all: 0.0512 (0.0517) loss_rec_sfr: 0.0725 (0.0721) loss_cl: -0.3665 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [19:39:06.345379] Epoch: [313] [120/850] eta: 0:10:57 lr: 0.001713 loss: 0.0147 (0.0154) loss_rec_all: 0.0508 (0.0516) loss_rec_sfr: 0.0602 (0.0727) loss_cl: -0.3669 (-0.3671) time: 0.8638 data: 0.0002 max mem: 29859 [19:39:23.606661] Epoch: [313] [140/850] eta: 0:10:36 lr: 0.001713 loss: 0.0148 (0.0154) loss_rec_all: 0.0509 (0.0516) loss_rec_sfr: 0.0773 (0.0736) loss_cl: -0.3678 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [19:39:40.893644] Epoch: [313] [160/850] eta: 0:10:15 lr: 0.001713 loss: 0.0147 (0.0154) loss_rec_all: 0.0512 (0.0516) loss_rec_sfr: 0.0528 (0.0726) loss_cl: -0.3686 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [19:39:58.147703] Epoch: [313] [180/850] eta: 0:09:55 lr: 0.001713 loss: 0.0143 (0.0153) loss_rec_all: 0.0507 (0.0515) loss_rec_sfr: 0.0539 (0.0725) loss_cl: -0.3686 (-0.3675) time: 0.8626 data: 0.0002 max mem: 29859 [19:40:15.442811] Epoch: [313] [200/850] eta: 0:09:36 lr: 0.001713 loss: 0.0146 (0.0152) loss_rec_all: 0.0508 (0.0515) loss_rec_sfr: 0.0546 (0.0723) loss_cl: -0.3680 (-0.3676) time: 0.8647 data: 0.0002 max mem: 29859 [19:40:32.678066] Epoch: [313] [220/850] eta: 0:09:16 lr: 0.001712 loss: 0.0146 (0.0153) loss_rec_all: 0.0507 (0.0515) loss_rec_sfr: 0.0766 (0.0728) loss_cl: -0.3675 (-0.3676) time: 0.8617 data: 0.0003 max mem: 29859 [19:40:49.967034] Epoch: [313] [240/850] eta: 0:08:58 lr: 0.001712 loss: 0.0152 (0.0153) loss_rec_all: 0.0513 (0.0516) loss_rec_sfr: 0.0756 (0.0730) loss_cl: -0.3665 (-0.3675) time: 0.8644 data: 0.0002 max mem: 29859 [19:41:07.230914] Epoch: [313] [260/850] eta: 0:08:39 lr: 0.001712 loss: 0.0171 (0.0155) loss_rec_all: 0.0534 (0.0517) loss_rec_sfr: 0.0547 (0.0726) loss_cl: -0.3661 (-0.3674) time: 0.8631 data: 0.0003 max mem: 29859 [19:41:24.538749] Epoch: [313] [280/850] eta: 0:08:21 lr: 0.001712 loss: 0.0192 (0.0159) loss_rec_all: 0.0555 (0.0521) loss_rec_sfr: 0.0906 (0.0732) loss_cl: -0.3669 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [19:41:41.781448] Epoch: [313] [300/850] eta: 0:08:03 lr: 0.001712 loss: 0.0181 (0.0161) loss_rec_all: 0.0542 (0.0523) loss_rec_sfr: 0.0925 (0.0743) loss_cl: -0.3673 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [19:41:59.061191] Epoch: [313] [320/850] eta: 0:07:45 lr: 0.001712 loss: 0.0157 (0.0161) loss_rec_all: 0.0520 (0.0523) loss_rec_sfr: 0.0576 (0.0740) loss_cl: -0.3681 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [19:42:16.296909] Epoch: [313] [340/850] eta: 0:07:27 lr: 0.001712 loss: 0.0166 (0.0162) loss_rec_all: 0.0529 (0.0524) loss_rec_sfr: 0.0810 (0.0747) loss_cl: -0.3677 (-0.3674) time: 0.8617 data: 0.0003 max mem: 29859 [19:42:39.226017] Epoch: [313] [360/850] eta: 0:07:16 lr: 0.001712 loss: 0.0161 (0.0162) loss_rec_all: 0.0522 (0.0524) loss_rec_sfr: 0.0755 (0.0747) loss_cl: -0.3671 (-0.3673) time: 1.1464 data: 0.0911 max mem: 29859 [19:43:01.677648] Epoch: [313] [380/850] eta: 0:07:04 lr: 0.001712 loss: 0.0158 (0.0162) loss_rec_all: 0.0519 (0.0524) loss_rec_sfr: 0.0567 (0.0744) loss_cl: -0.3665 (-0.3673) time: 1.1225 data: 0.0043 max mem: 29859 [19:43:29.367764] Epoch: [313] [400/850] eta: 0:06:57 lr: 0.001712 loss: 0.0139 (0.0161) loss_rec_all: 0.0502 (0.0523) loss_rec_sfr: 0.0535 (0.0740) loss_cl: -0.3666 (-0.3673) time: 1.3844 data: 0.0003 max mem: 29859 [19:43:53.494628] Epoch: [313] [420/850] eta: 0:06:44 lr: 0.001711 loss: 0.0152 (0.0161) loss_rec_all: 0.0512 (0.0523) loss_rec_sfr: 0.0755 (0.0742) loss_cl: -0.3668 (-0.3672) time: 1.2063 data: 0.0148 max mem: 29859 [19:44:19.984027] Epoch: [313] [440/850] eta: 0:06:32 lr: 0.001711 loss: 0.0150 (0.0161) loss_rec_all: 0.0511 (0.0523) loss_rec_sfr: 0.0843 (0.0747) loss_cl: -0.3673 (-0.3672) time: 1.3244 data: 0.0015 max mem: 29859 [19:44:44.802181] Epoch: [313] [460/850] eta: 0:06:18 lr: 0.001711 loss: 0.0142 (0.0160) loss_rec_all: 0.0505 (0.0522) loss_rec_sfr: 0.0563 (0.0743) loss_cl: -0.3675 (-0.3672) time: 1.2408 data: 0.2113 max mem: 29859 [19:45:11.204348] Epoch: [313] [480/850] eta: 0:06:04 lr: 0.001711 loss: 0.0147 (0.0159) loss_rec_all: 0.0509 (0.0521) loss_rec_sfr: 0.0671 (0.0744) loss_cl: -0.3677 (-0.3673) time: 1.3200 data: 0.4606 max mem: 29859 [19:45:36.929063] Epoch: [313] [500/850] eta: 0:05:49 lr: 0.001711 loss: 0.0154 (0.0159) loss_rec_all: 0.0515 (0.0521) loss_rec_sfr: 0.0744 (0.0744) loss_cl: -0.3680 (-0.3673) time: 1.2862 data: 0.4202 max mem: 29859 [19:46:08.388061] Epoch: [313] [520/850] eta: 0:05:36 lr: 0.001711 loss: 0.0150 (0.0159) loss_rec_all: 0.0512 (0.0522) loss_rec_sfr: 0.0711 (0.0743) loss_cl: -0.3682 (-0.3673) time: 1.5729 data: 0.7163 max mem: 29859 [19:46:39.397262] Epoch: [313] [540/850] eta: 0:05:22 lr: 0.001711 loss: 0.0137 (0.0159) loss_rec_all: 0.0501 (0.0521) loss_rec_sfr: 0.0780 (0.0743) loss_cl: -0.3681 (-0.3674) time: 1.5504 data: 0.6977 max mem: 29859 [19:47:07.723737] Epoch: [313] [560/850] eta: 0:05:05 lr: 0.001711 loss: 0.0151 (0.0159) loss_rec_all: 0.0515 (0.0521) loss_rec_sfr: 0.0579 (0.0743) loss_cl: -0.3678 (-0.3674) time: 1.4163 data: 0.5622 max mem: 29859 [19:47:38.319529] Epoch: [313] [580/850] eta: 0:04:48 lr: 0.001711 loss: 0.0139 (0.0158) loss_rec_all: 0.0503 (0.0520) loss_rec_sfr: 0.0548 (0.0742) loss_cl: -0.3674 (-0.3674) time: 1.5297 data: 0.6776 max mem: 29859 [19:48:06.070192] Epoch: [313] [600/850] eta: 0:04:29 lr: 0.001710 loss: 0.0170 (0.0159) loss_rec_all: 0.0529 (0.0521) loss_rec_sfr: 0.0772 (0.0744) loss_cl: -0.3674 (-0.3674) time: 1.3875 data: 0.5333 max mem: 29859 [19:48:40.647126] Epoch: [313] [620/850] eta: 0:04:13 lr: 0.001710 loss: 0.0155 (0.0159) loss_rec_all: 0.0518 (0.0521) loss_rec_sfr: 0.0560 (0.0742) loss_cl: -0.3668 (-0.3674) time: 1.7288 data: 0.8775 max mem: 29859 [19:49:11.369980] Epoch: [313] [640/850] eta: 0:03:53 lr: 0.001710 loss: 0.0148 (0.0159) loss_rec_all: 0.0508 (0.0521) loss_rec_sfr: 0.0530 (0.0739) loss_cl: -0.3670 (-0.3673) time: 1.5361 data: 0.6831 max mem: 29859 [19:49:41.395461] Epoch: [313] [660/850] eta: 0:03:33 lr: 0.001710 loss: 0.0153 (0.0159) loss_rec_all: 0.0514 (0.0521) loss_rec_sfr: 0.0791 (0.0739) loss_cl: -0.3669 (-0.3673) time: 1.5012 data: 0.6502 max mem: 29859 [19:50:12.578542] Epoch: [313] [680/850] eta: 0:03:13 lr: 0.001710 loss: 0.0143 (0.0159) loss_rec_all: 0.0507 (0.0521) loss_rec_sfr: 0.0540 (0.0736) loss_cl: -0.3677 (-0.3673) time: 1.5591 data: 0.7056 max mem: 29859 [19:50:44.480860] Epoch: [313] [700/850] eta: 0:02:52 lr: 0.001710 loss: 0.0156 (0.0159) loss_rec_all: 0.0519 (0.0521) loss_rec_sfr: 0.0806 (0.0738) loss_cl: -0.3681 (-0.3673) time: 1.5951 data: 0.7431 max mem: 29859 [19:51:13.663958] Epoch: [313] [720/850] eta: 0:02:30 lr: 0.001710 loss: 0.0160 (0.0159) loss_rec_all: 0.0524 (0.0521) loss_rec_sfr: 0.0578 (0.0737) loss_cl: -0.3683 (-0.3674) time: 1.4591 data: 0.6057 max mem: 29859 [19:51:48.235074] Epoch: [313] [740/850] eta: 0:02:09 lr: 0.001710 loss: 0.0155 (0.0159) loss_rec_all: 0.0516 (0.0521) loss_rec_sfr: 0.0771 (0.0737) loss_cl: -0.3678 (-0.3674) time: 1.7285 data: 0.8764 max mem: 29859 [19:52:14.649107] Epoch: [313] [760/850] eta: 0:01:46 lr: 0.001710 loss: 0.0150 (0.0159) loss_rec_all: 0.0512 (0.0521) loss_rec_sfr: 0.0622 (0.0737) loss_cl: -0.3676 (-0.3674) time: 1.3206 data: 0.4669 max mem: 29859 [19:52:47.357422] Epoch: [313] [780/850] eta: 0:01:23 lr: 0.001710 loss: 0.0173 (0.0159) loss_rec_all: 0.0531 (0.0521) loss_rec_sfr: 0.0753 (0.0739) loss_cl: -0.3672 (-0.3674) time: 1.6354 data: 0.7828 max mem: 29859 [19:53:20.132989] Epoch: [313] [800/850] eta: 0:01:00 lr: 0.001709 loss: 0.0150 (0.0159) loss_rec_all: 0.0513 (0.0521) loss_rec_sfr: 0.0521 (0.0737) loss_cl: -0.3668 (-0.3674) time: 1.6387 data: 0.7844 max mem: 29859 [19:54:01.696957] Epoch: [313] [820/850] eta: 0:00:36 lr: 0.001709 loss: 0.0149 (0.0159) loss_rec_all: 0.0511 (0.0521) loss_rec_sfr: 0.0566 (0.0736) loss_cl: -0.3666 (-0.3673) time: 2.0781 data: 1.2115 max mem: 29859 [19:54:39.022165] Epoch: [313] [840/850] eta: 0:00:12 lr: 0.001709 loss: 0.0159 (0.0159) loss_rec_all: 0.0522 (0.0522) loss_rec_sfr: 0.0757 (0.0736) loss_cl: -0.3671 (-0.3673) time: 1.8662 data: 1.0117 max mem: 29859 [19:55:06.156631] Epoch: [313] [849/850] eta: 0:00:01 lr: 0.001709 loss: 0.0159 (0.0159) loss_rec_all: 0.0522 (0.0522) loss_rec_sfr: 0.0549 (0.0735) loss_cl: -0.3673 (-0.3673) time: 2.1941 data: 1.3395 max mem: 29859 [19:55:06.309577] Epoch: [313] Total time: 0:17:49 (1.2577 s / it) [19:55:06.312123] Averaged stats: lr: 0.001709 loss: 0.0159 (0.0159) loss_rec_all: 0.0522 (0.0522) loss_rec_sfr: 0.0549 (0.0734) loss_cl: -0.3673 (-0.3673) [19:55:06.335139] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [19:55:15.345989] Epoch: [314] [ 0/850] eta: 2:07:38 lr: 0.001709 loss: 0.0209 (0.0209) loss_rec_all: 0.0570 (0.0570) loss_rec_sfr: 0.0784 (0.0784) loss_cl: -0.3669 (-0.3669) time: 9.0099 data: 7.6964 max mem: 29859 [19:55:32.347861] Epoch: [314] [ 20/850] eta: 0:17:08 lr: 0.001709 loss: 0.0156 (0.0166) loss_rec_all: 0.0517 (0.0528) loss_rec_sfr: 0.0752 (0.0745) loss_cl: -0.3672 (-0.3670) time: 0.8500 data: 0.0003 max mem: 29859 [19:55:49.443258] Epoch: [314] [ 40/850] eta: 0:14:11 lr: 0.001709 loss: 0.0152 (0.0163) loss_rec_all: 0.0511 (0.0524) loss_rec_sfr: 0.0802 (0.0784) loss_cl: -0.3672 (-0.3670) time: 0.8547 data: 0.0002 max mem: 29859 [19:56:06.583841] Epoch: [314] [ 60/850] eta: 0:13:00 lr: 0.001709 loss: 0.0131 (0.0157) loss_rec_all: 0.0495 (0.0519) loss_rec_sfr: 0.0532 (0.0760) loss_cl: -0.3674 (-0.3671) time: 0.8570 data: 0.0003 max mem: 29859 [19:56:23.769198] Epoch: [314] [ 80/850] eta: 0:12:16 lr: 0.001709 loss: 0.0143 (0.0154) loss_rec_all: 0.0505 (0.0516) loss_rec_sfr: 0.0756 (0.0759) loss_cl: -0.3675 (-0.3672) time: 0.8592 data: 0.0002 max mem: 29859 [19:56:40.950781] Epoch: [314] [100/850] eta: 0:11:42 lr: 0.001709 loss: 0.0134 (0.0150) loss_rec_all: 0.0498 (0.0512) loss_rec_sfr: 0.0544 (0.0726) loss_cl: -0.3675 (-0.3673) time: 0.8590 data: 0.0002 max mem: 29859 [19:56:58.204211] Epoch: [314] [120/850] eta: 0:11:14 lr: 0.001709 loss: 0.0148 (0.0150) loss_rec_all: 0.0509 (0.0513) loss_rec_sfr: 0.0740 (0.0731) loss_cl: -0.3676 (-0.3673) time: 0.8626 data: 0.0003 max mem: 29859 [19:57:15.426808] Epoch: [314] [140/850] eta: 0:10:49 lr: 0.001708 loss: 0.0150 (0.0151) loss_rec_all: 0.0511 (0.0514) loss_rec_sfr: 0.0570 (0.0723) loss_cl: -0.3675 (-0.3673) time: 0.8611 data: 0.0003 max mem: 29859 [19:57:32.750677] Epoch: [314] [160/850] eta: 0:10:27 lr: 0.001708 loss: 0.0150 (0.0152) loss_rec_all: 0.0513 (0.0514) loss_rec_sfr: 0.0654 (0.0721) loss_cl: -0.3673 (-0.3673) time: 0.8661 data: 0.0003 max mem: 29859 [19:57:49.972751] Epoch: [314] [180/850] eta: 0:10:05 lr: 0.001708 loss: 0.0157 (0.0153) loss_rec_all: 0.0520 (0.0515) loss_rec_sfr: 0.0611 (0.0726) loss_cl: -0.3673 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [19:58:07.267438] Epoch: [314] [200/850] eta: 0:09:45 lr: 0.001708 loss: 0.0147 (0.0153) loss_rec_all: 0.0511 (0.0516) loss_rec_sfr: 0.0524 (0.0722) loss_cl: -0.3677 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [19:58:24.511890] Epoch: [314] [220/850] eta: 0:09:24 lr: 0.001708 loss: 0.0153 (0.0154) loss_rec_all: 0.0514 (0.0516) loss_rec_sfr: 0.0599 (0.0725) loss_cl: -0.3675 (-0.3673) time: 0.8622 data: 0.0003 max mem: 29859 [19:58:41.786574] Epoch: [314] [240/850] eta: 0:09:05 lr: 0.001708 loss: 0.0156 (0.0154) loss_rec_all: 0.0516 (0.0516) loss_rec_sfr: 0.0639 (0.0721) loss_cl: -0.3675 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [19:58:59.054706] Epoch: [314] [260/850] eta: 0:08:46 lr: 0.001708 loss: 0.0183 (0.0156) loss_rec_all: 0.0543 (0.0519) loss_rec_sfr: 0.0895 (0.0733) loss_cl: -0.3670 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [19:59:16.364444] Epoch: [314] [280/850] eta: 0:08:27 lr: 0.001708 loss: 0.0164 (0.0157) loss_rec_all: 0.0525 (0.0519) loss_rec_sfr: 0.0908 (0.0741) loss_cl: -0.3673 (-0.3673) time: 0.8654 data: 0.0002 max mem: 29859 [19:59:33.661568] Epoch: [314] [300/850] eta: 0:08:08 lr: 0.001708 loss: 0.0155 (0.0157) loss_rec_all: 0.0519 (0.0519) loss_rec_sfr: 0.0609 (0.0739) loss_cl: -0.3676 (-0.3673) time: 0.8648 data: 0.0003 max mem: 29859 [19:59:50.990620] Epoch: [314] [320/850] eta: 0:07:49 lr: 0.001707 loss: 0.0145 (0.0157) loss_rec_all: 0.0509 (0.0520) loss_rec_sfr: 0.0603 (0.0738) loss_cl: -0.3675 (-0.3673) time: 0.8664 data: 0.0003 max mem: 29859 [20:00:08.293267] Epoch: [314] [340/850] eta: 0:07:31 lr: 0.001707 loss: 0.0147 (0.0157) loss_rec_all: 0.0510 (0.0519) loss_rec_sfr: 0.0534 (0.0734) loss_cl: -0.3672 (-0.3673) time: 0.8651 data: 0.0003 max mem: 29859 [20:00:25.633658] Epoch: [314] [360/850] eta: 0:07:13 lr: 0.001707 loss: 0.0143 (0.0157) loss_rec_all: 0.0506 (0.0519) loss_rec_sfr: 0.0518 (0.0731) loss_cl: -0.3673 (-0.3673) time: 0.8670 data: 0.0003 max mem: 29859 [20:00:42.893049] Epoch: [314] [380/850] eta: 0:06:55 lr: 0.001707 loss: 0.0144 (0.0156) loss_rec_all: 0.0505 (0.0519) loss_rec_sfr: 0.0593 (0.0727) loss_cl: -0.3671 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [20:01:00.179517] Epoch: [314] [400/850] eta: 0:06:37 lr: 0.001707 loss: 0.0138 (0.0156) loss_rec_all: 0.0502 (0.0518) loss_rec_sfr: 0.0504 (0.0722) loss_cl: -0.3675 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [20:01:17.424841] Epoch: [314] [420/850] eta: 0:06:18 lr: 0.001707 loss: 0.0144 (0.0155) loss_rec_all: 0.0507 (0.0518) loss_rec_sfr: 0.0550 (0.0720) loss_cl: -0.3672 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [20:01:34.740856] Epoch: [314] [440/850] eta: 0:06:01 lr: 0.001707 loss: 0.0156 (0.0156) loss_rec_all: 0.0520 (0.0518) loss_rec_sfr: 0.0663 (0.0721) loss_cl: -0.3673 (-0.3673) time: 0.8657 data: 0.0003 max mem: 29859 [20:01:51.997836] Epoch: [314] [460/850] eta: 0:05:43 lr: 0.001707 loss: 0.0147 (0.0155) loss_rec_all: 0.0510 (0.0518) loss_rec_sfr: 0.0584 (0.0721) loss_cl: -0.3671 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [20:02:09.298299] Epoch: [314] [480/850] eta: 0:05:25 lr: 0.001707 loss: 0.0151 (0.0155) loss_rec_all: 0.0511 (0.0517) loss_rec_sfr: 0.0780 (0.0724) loss_cl: -0.3672 (-0.3673) time: 0.8650 data: 0.0002 max mem: 29859 [20:02:26.568637] Epoch: [314] [500/850] eta: 0:05:07 lr: 0.001707 loss: 0.0141 (0.0155) loss_rec_all: 0.0505 (0.0517) loss_rec_sfr: 0.0825 (0.0726) loss_cl: -0.3673 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [20:02:43.858356] Epoch: [314] [520/850] eta: 0:04:49 lr: 0.001706 loss: 0.0140 (0.0155) loss_rec_all: 0.0504 (0.0518) loss_rec_sfr: 0.0534 (0.0724) loss_cl: -0.3676 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [20:03:01.097149] Epoch: [314] [540/850] eta: 0:04:32 lr: 0.001706 loss: 0.0161 (0.0156) loss_rec_all: 0.0523 (0.0518) loss_rec_sfr: 0.0781 (0.0727) loss_cl: -0.3683 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [20:03:18.454412] Epoch: [314] [560/850] eta: 0:04:14 lr: 0.001706 loss: 0.0159 (0.0156) loss_rec_all: 0.0520 (0.0518) loss_rec_sfr: 0.0746 (0.0730) loss_cl: -0.3681 (-0.3674) time: 0.8678 data: 0.0003 max mem: 29859 [20:03:35.687357] Epoch: [314] [580/850] eta: 0:03:56 lr: 0.001706 loss: 0.0157 (0.0156) loss_rec_all: 0.0518 (0.0518) loss_rec_sfr: 0.0633 (0.0729) loss_cl: -0.3677 (-0.3674) time: 0.8616 data: 0.0002 max mem: 29859 [20:03:52.989379] Epoch: [314] [600/850] eta: 0:03:39 lr: 0.001706 loss: 0.0162 (0.0156) loss_rec_all: 0.0524 (0.0519) loss_rec_sfr: 0.0720 (0.0730) loss_cl: -0.3672 (-0.3674) time: 0.8650 data: 0.0003 max mem: 29859 [20:04:10.227159] Epoch: [314] [620/850] eta: 0:03:21 lr: 0.001706 loss: 0.0158 (0.0156) loss_rec_all: 0.0517 (0.0519) loss_rec_sfr: 0.0601 (0.0729) loss_cl: -0.3670 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [20:04:27.526263] Epoch: [314] [640/850] eta: 0:03:03 lr: 0.001706 loss: 0.0157 (0.0156) loss_rec_all: 0.0518 (0.0519) loss_rec_sfr: 0.0812 (0.0732) loss_cl: -0.3671 (-0.3674) time: 0.8649 data: 0.0002 max mem: 29859 [20:04:44.767482] Epoch: [314] [660/850] eta: 0:02:46 lr: 0.001706 loss: 0.0162 (0.0157) loss_rec_all: 0.0526 (0.0519) loss_rec_sfr: 0.0834 (0.0735) loss_cl: -0.3671 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [20:05:02.038399] Epoch: [314] [680/850] eta: 0:02:28 lr: 0.001706 loss: 0.0163 (0.0157) loss_rec_all: 0.0525 (0.0519) loss_rec_sfr: 0.0818 (0.0737) loss_cl: -0.3676 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [20:05:19.268608] Epoch: [314] [700/850] eta: 0:02:11 lr: 0.001705 loss: 0.0165 (0.0157) loss_rec_all: 0.0526 (0.0520) loss_rec_sfr: 0.0743 (0.0738) loss_cl: -0.3676 (-0.3674) time: 0.8615 data: 0.0002 max mem: 29859 [20:05:36.536907] Epoch: [314] [720/850] eta: 0:01:53 lr: 0.001705 loss: 0.0146 (0.0158) loss_rec_all: 0.0510 (0.0520) loss_rec_sfr: 0.0569 (0.0736) loss_cl: -0.3674 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [20:05:53.771932] Epoch: [314] [740/850] eta: 0:01:36 lr: 0.001705 loss: 0.0142 (0.0157) loss_rec_all: 0.0507 (0.0520) loss_rec_sfr: 0.0553 (0.0735) loss_cl: -0.3675 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [20:06:11.051062] Epoch: [314] [760/850] eta: 0:01:18 lr: 0.001705 loss: 0.0154 (0.0157) loss_rec_all: 0.0515 (0.0520) loss_rec_sfr: 0.0830 (0.0737) loss_cl: -0.3678 (-0.3674) time: 0.8639 data: 0.0003 max mem: 29859 [20:06:28.300675] Epoch: [314] [780/850] eta: 0:01:01 lr: 0.001705 loss: 0.0165 (0.0158) loss_rec_all: 0.0526 (0.0520) loss_rec_sfr: 0.0561 (0.0737) loss_cl: -0.3678 (-0.3674) time: 0.8624 data: 0.0003 max mem: 29859 [20:06:45.583443] Epoch: [314] [800/850] eta: 0:00:43 lr: 0.001705 loss: 0.0161 (0.0158) loss_rec_all: 0.0522 (0.0520) loss_rec_sfr: 0.0739 (0.0738) loss_cl: -0.3673 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [20:07:02.825220] Epoch: [314] [820/850] eta: 0:00:26 lr: 0.001705 loss: 0.0180 (0.0159) loss_rec_all: 0.0540 (0.0521) loss_rec_sfr: 0.0627 (0.0738) loss_cl: -0.3665 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [20:07:20.125285] Epoch: [314] [840/850] eta: 0:00:08 lr: 0.001705 loss: 0.0178 (0.0159) loss_rec_all: 0.0540 (0.0521) loss_rec_sfr: 0.0611 (0.0739) loss_cl: -0.3665 (-0.3673) time: 0.8650 data: 0.0005 max mem: 29859 [20:07:27.888624] Epoch: [314] [849/850] eta: 0:00:00 lr: 0.001705 loss: 0.0167 (0.0159) loss_rec_all: 0.0529 (0.0522) loss_rec_sfr: 0.0575 (0.0740) loss_cl: -0.3665 (-0.3673) time: 0.8653 data: 0.0004 max mem: 29859 [20:07:28.018059] Epoch: [314] Total time: 0:12:21 (0.8726 s / it) [20:07:28.020708] Averaged stats: lr: 0.001705 loss: 0.0167 (0.0159) loss_rec_all: 0.0529 (0.0521) loss_rec_sfr: 0.0575 (0.0731) loss_cl: -0.3665 (-0.3673) [20:07:28.033597] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [20:07:32.707299] Epoch: [315] [ 0/850] eta: 1:06:11 lr: 0.001705 loss: 0.0250 (0.0250) loss_rec_all: 0.0612 (0.0612) loss_rec_sfr: 0.0882 (0.0882) loss_cl: -0.3679 (-0.3679) time: 4.6729 data: 3.4681 max mem: 29859 [20:07:49.905256] Epoch: [315] [ 20/850] eta: 0:14:24 lr: 0.001705 loss: 0.0159 (0.0171) loss_rec_all: 0.0522 (0.0532) loss_rec_sfr: 0.0631 (0.0816) loss_cl: -0.3670 (-0.3671) time: 0.8598 data: 0.0002 max mem: 29859 [20:08:07.167771] Epoch: [315] [ 40/850] eta: 0:12:53 lr: 0.001704 loss: 0.0176 (0.0177) loss_rec_all: 0.0535 (0.0538) loss_rec_sfr: 0.0834 (0.0841) loss_cl: -0.3677 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [20:08:24.404316] Epoch: [315] [ 60/850] eta: 0:12:09 lr: 0.001704 loss: 0.0155 (0.0172) loss_rec_all: 0.0519 (0.0534) loss_rec_sfr: 0.0591 (0.0809) loss_cl: -0.3676 (-0.3675) time: 0.8618 data: 0.0002 max mem: 29859 [20:08:41.691197] Epoch: [315] [ 80/850] eta: 0:11:40 lr: 0.001704 loss: 0.0161 (0.0171) loss_rec_all: 0.0521 (0.0533) loss_rec_sfr: 0.0761 (0.0801) loss_cl: -0.3674 (-0.3674) time: 0.8643 data: 0.0003 max mem: 29859 [20:08:58.952313] Epoch: [315] [100/850] eta: 0:11:15 lr: 0.001704 loss: 0.0146 (0.0168) loss_rec_all: 0.0508 (0.0530) loss_rec_sfr: 0.0512 (0.0777) loss_cl: -0.3669 (-0.3673) time: 0.8630 data: 0.0003 max mem: 29859 [20:09:16.256739] Epoch: [315] [120/850] eta: 0:10:52 lr: 0.001704 loss: 0.0140 (0.0165) loss_rec_all: 0.0504 (0.0527) loss_rec_sfr: 0.0505 (0.0758) loss_cl: -0.3672 (-0.3673) time: 0.8652 data: 0.0004 max mem: 29859 [20:09:33.540420] Epoch: [315] [140/850] eta: 0:10:31 lr: 0.001704 loss: 0.0148 (0.0164) loss_rec_all: 0.0510 (0.0526) loss_rec_sfr: 0.0594 (0.0755) loss_cl: -0.3677 (-0.3673) time: 0.8641 data: 0.0003 max mem: 29859 [20:09:50.832061] Epoch: [315] [160/850] eta: 0:10:11 lr: 0.001704 loss: 0.0147 (0.0163) loss_rec_all: 0.0508 (0.0525) loss_rec_sfr: 0.0740 (0.0758) loss_cl: -0.3682 (-0.3674) time: 0.8645 data: 0.0003 max mem: 29859 [20:10:08.093878] Epoch: [315] [180/850] eta: 0:09:52 lr: 0.001704 loss: 0.0141 (0.0161) loss_rec_all: 0.0502 (0.0523) loss_rec_sfr: 0.0749 (0.0754) loss_cl: -0.3679 (-0.3675) time: 0.8630 data: 0.0003 max mem: 29859 [20:10:25.402615] Epoch: [315] [200/850] eta: 0:09:33 lr: 0.001704 loss: 0.0149 (0.0160) loss_rec_all: 0.0509 (0.0523) loss_rec_sfr: 0.0792 (0.0758) loss_cl: -0.3671 (-0.3674) time: 0.8654 data: 0.0002 max mem: 29859 [20:10:42.666531] Epoch: [315] [220/850] eta: 0:09:14 lr: 0.001703 loss: 0.0152 (0.0160) loss_rec_all: 0.0512 (0.0522) loss_rec_sfr: 0.0585 (0.0755) loss_cl: -0.3677 (-0.3674) time: 0.8631 data: 0.0003 max mem: 29859 [20:10:59.948309] Epoch: [315] [240/850] eta: 0:08:56 lr: 0.001703 loss: 0.0146 (0.0160) loss_rec_all: 0.0510 (0.0522) loss_rec_sfr: 0.0655 (0.0753) loss_cl: -0.3678 (-0.3675) time: 0.8640 data: 0.0002 max mem: 29859 [20:11:17.196623] Epoch: [315] [260/850] eta: 0:08:37 lr: 0.001703 loss: 0.0151 (0.0159) loss_rec_all: 0.0512 (0.0521) loss_rec_sfr: 0.0606 (0.0753) loss_cl: -0.3678 (-0.3675) time: 0.8624 data: 0.0002 max mem: 29859 [20:11:34.511606] Epoch: [315] [280/850] eta: 0:08:19 lr: 0.001703 loss: 0.0142 (0.0158) loss_rec_all: 0.0503 (0.0521) loss_rec_sfr: 0.0564 (0.0750) loss_cl: -0.3677 (-0.3675) time: 0.8657 data: 0.0006 max mem: 29859 [20:11:51.757752] Epoch: [315] [300/850] eta: 0:08:01 lr: 0.001703 loss: 0.0157 (0.0158) loss_rec_all: 0.0518 (0.0521) loss_rec_sfr: 0.0822 (0.0754) loss_cl: -0.3675 (-0.3675) time: 0.8623 data: 0.0002 max mem: 29859 [20:12:09.038385] Epoch: [315] [320/850] eta: 0:07:43 lr: 0.001703 loss: 0.0153 (0.0158) loss_rec_all: 0.0512 (0.0520) loss_rec_sfr: 0.0755 (0.0755) loss_cl: -0.3676 (-0.3675) time: 0.8640 data: 0.0002 max mem: 29859 [20:12:26.290671] Epoch: [315] [340/850] eta: 0:07:26 lr: 0.001703 loss: 0.0147 (0.0158) loss_rec_all: 0.0507 (0.0520) loss_rec_sfr: 0.0721 (0.0754) loss_cl: -0.3671 (-0.3675) time: 0.8625 data: 0.0002 max mem: 29859 [20:12:43.587721] Epoch: [315] [360/850] eta: 0:07:08 lr: 0.001703 loss: 0.0143 (0.0157) loss_rec_all: 0.0503 (0.0519) loss_rec_sfr: 0.0766 (0.0755) loss_cl: -0.3671 (-0.3675) time: 0.8648 data: 0.0002 max mem: 29859 [20:13:00.867715] Epoch: [315] [380/850] eta: 0:06:50 lr: 0.001703 loss: 0.0163 (0.0157) loss_rec_all: 0.0522 (0.0520) loss_rec_sfr: 0.0790 (0.0760) loss_cl: -0.3670 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [20:13:18.219704] Epoch: [315] [400/850] eta: 0:06:32 lr: 0.001703 loss: 0.0143 (0.0157) loss_rec_all: 0.0506 (0.0519) loss_rec_sfr: 0.0532 (0.0755) loss_cl: -0.3669 (-0.3674) time: 0.8675 data: 0.0003 max mem: 29859 [20:13:35.530355] Epoch: [315] [420/850] eta: 0:06:15 lr: 0.001702 loss: 0.0146 (0.0157) loss_rec_all: 0.0509 (0.0519) loss_rec_sfr: 0.0517 (0.0748) loss_cl: -0.3669 (-0.3674) time: 0.8654 data: 0.0003 max mem: 29859 [20:13:52.862957] Epoch: [315] [440/850] eta: 0:05:57 lr: 0.001702 loss: 0.0149 (0.0158) loss_rec_all: 0.0513 (0.0520) loss_rec_sfr: 0.0529 (0.0745) loss_cl: -0.3673 (-0.3674) time: 0.8666 data: 0.0003 max mem: 29859 [20:14:10.092973] Epoch: [315] [460/850] eta: 0:05:40 lr: 0.001702 loss: 0.0161 (0.0158) loss_rec_all: 0.0523 (0.0520) loss_rec_sfr: 0.0781 (0.0748) loss_cl: -0.3675 (-0.3674) time: 0.8614 data: 0.0002 max mem: 29859 [20:14:27.425626] Epoch: [315] [480/850] eta: 0:05:22 lr: 0.001702 loss: 0.0162 (0.0158) loss_rec_all: 0.0523 (0.0521) loss_rec_sfr: 0.0777 (0.0749) loss_cl: -0.3673 (-0.3674) time: 0.8665 data: 0.0003 max mem: 29859 [20:14:44.770472] Epoch: [315] [500/850] eta: 0:05:05 lr: 0.001702 loss: 0.0154 (0.0159) loss_rec_all: 0.0517 (0.0521) loss_rec_sfr: 0.0564 (0.0747) loss_cl: -0.3675 (-0.3674) time: 0.8672 data: 0.0003 max mem: 29859 [20:15:02.083501] Epoch: [315] [520/850] eta: 0:04:47 lr: 0.001702 loss: 0.0153 (0.0159) loss_rec_all: 0.0515 (0.0521) loss_rec_sfr: 0.0643 (0.0748) loss_cl: -0.3673 (-0.3674) time: 0.8656 data: 0.0002 max mem: 29859 [20:15:19.396383] Epoch: [315] [540/850] eta: 0:04:30 lr: 0.001702 loss: 0.0145 (0.0159) loss_rec_all: 0.0509 (0.0521) loss_rec_sfr: 0.0531 (0.0745) loss_cl: -0.3676 (-0.3674) time: 0.8656 data: 0.0002 max mem: 29859 [20:15:36.892430] Epoch: [315] [560/850] eta: 0:04:12 lr: 0.001702 loss: 0.0157 (0.0159) loss_rec_all: 0.0518 (0.0521) loss_rec_sfr: 0.0755 (0.0744) loss_cl: -0.3677 (-0.3674) time: 0.8747 data: 0.0003 max mem: 29859 [20:15:54.251938] Epoch: [315] [580/850] eta: 0:03:55 lr: 0.001702 loss: 0.0144 (0.0158) loss_rec_all: 0.0508 (0.0521) loss_rec_sfr: 0.0534 (0.0742) loss_cl: -0.3675 (-0.3674) time: 0.8679 data: 0.0003 max mem: 29859 [20:16:11.599137] Epoch: [315] [600/850] eta: 0:03:37 lr: 0.001701 loss: 0.0152 (0.0158) loss_rec_all: 0.0514 (0.0521) loss_rec_sfr: 0.0779 (0.0742) loss_cl: -0.3675 (-0.3674) time: 0.8673 data: 0.0002 max mem: 29859 [20:16:28.918379] Epoch: [315] [620/850] eta: 0:03:20 lr: 0.001701 loss: 0.0154 (0.0158) loss_rec_all: 0.0516 (0.0521) loss_rec_sfr: 0.0724 (0.0741) loss_cl: -0.3671 (-0.3674) time: 0.8659 data: 0.0002 max mem: 29859 [20:16:46.316931] Epoch: [315] [640/850] eta: 0:03:02 lr: 0.001701 loss: 0.0136 (0.0158) loss_rec_all: 0.0501 (0.0520) loss_rec_sfr: 0.0516 (0.0736) loss_cl: -0.3674 (-0.3674) time: 0.8699 data: 0.0008 max mem: 29859 [20:17:03.631575] Epoch: [315] [660/850] eta: 0:02:45 lr: 0.001701 loss: 0.0172 (0.0158) loss_rec_all: 0.0530 (0.0520) loss_rec_sfr: 0.0735 (0.0737) loss_cl: -0.3669 (-0.3674) time: 0.8657 data: 0.0003 max mem: 29859 [20:17:20.969592] Epoch: [315] [680/850] eta: 0:02:28 lr: 0.001701 loss: 0.0147 (0.0158) loss_rec_all: 0.0509 (0.0520) loss_rec_sfr: 0.0553 (0.0736) loss_cl: -0.3662 (-0.3673) time: 0.8668 data: 0.0002 max mem: 29859 [20:17:38.280827] Epoch: [315] [700/850] eta: 0:02:10 lr: 0.001701 loss: 0.0145 (0.0158) loss_rec_all: 0.0508 (0.0520) loss_rec_sfr: 0.0546 (0.0735) loss_cl: -0.3668 (-0.3673) time: 0.8655 data: 0.0002 max mem: 29859 [20:17:55.662044] Epoch: [315] [720/850] eta: 0:01:53 lr: 0.001701 loss: 0.0154 (0.0158) loss_rec_all: 0.0515 (0.0520) loss_rec_sfr: 0.0736 (0.0735) loss_cl: -0.3671 (-0.3673) time: 0.8690 data: 0.0003 max mem: 29859 [20:18:12.966106] Epoch: [315] [740/850] eta: 0:01:35 lr: 0.001701 loss: 0.0158 (0.0158) loss_rec_all: 0.0518 (0.0520) loss_rec_sfr: 0.0554 (0.0735) loss_cl: -0.3673 (-0.3673) time: 0.8651 data: 0.0002 max mem: 29859 [20:18:30.296555] Epoch: [315] [760/850] eta: 0:01:18 lr: 0.001701 loss: 0.0143 (0.0158) loss_rec_all: 0.0506 (0.0520) loss_rec_sfr: 0.0556 (0.0733) loss_cl: -0.3677 (-0.3673) time: 0.8664 data: 0.0002 max mem: 29859 [20:18:47.650890] Epoch: [315] [780/850] eta: 0:01:00 lr: 0.001701 loss: 0.0142 (0.0158) loss_rec_all: 0.0505 (0.0520) loss_rec_sfr: 0.0516 (0.0731) loss_cl: -0.3676 (-0.3673) time: 0.8676 data: 0.0004 max mem: 29859 [20:19:05.041774] Epoch: [315] [800/850] eta: 0:00:43 lr: 0.001700 loss: 0.0169 (0.0158) loss_rec_all: 0.0532 (0.0520) loss_rec_sfr: 0.0740 (0.0732) loss_cl: -0.3673 (-0.3673) time: 0.8695 data: 0.0003 max mem: 29859 [20:19:22.327609] Epoch: [315] [820/850] eta: 0:00:26 lr: 0.001700 loss: 0.0158 (0.0158) loss_rec_all: 0.0521 (0.0520) loss_rec_sfr: 0.0708 (0.0733) loss_cl: -0.3674 (-0.3673) time: 0.8642 data: 0.0003 max mem: 29859 [20:19:39.640422] Epoch: [315] [840/850] eta: 0:00:08 lr: 0.001700 loss: 0.0177 (0.0159) loss_rec_all: 0.0537 (0.0521) loss_rec_sfr: 0.0731 (0.0734) loss_cl: -0.3675 (-0.3673) time: 0.8656 data: 0.0007 max mem: 29859 [20:19:47.399160] Epoch: [315] [849/850] eta: 0:00:00 lr: 0.001700 loss: 0.0177 (0.0159) loss_rec_all: 0.0537 (0.0521) loss_rec_sfr: 0.0734 (0.0733) loss_cl: -0.3675 (-0.3673) time: 0.8647 data: 0.0006 max mem: 29859 [20:19:47.533365] Epoch: [315] Total time: 0:12:19 (0.8700 s / it) [20:19:47.543814] Averaged stats: lr: 0.001700 loss: 0.0177 (0.0159) loss_rec_all: 0.0537 (0.0521) loss_rec_sfr: 0.0734 (0.0731) loss_cl: -0.3675 (-0.3673) [20:19:47.589911] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [20:19:52.896124] Epoch: [316] [ 0/850] eta: 1:15:08 lr: 0.001700 loss: 0.0149 (0.0149) loss_rec_all: 0.0513 (0.0513) loss_rec_sfr: 0.0507 (0.0507) loss_cl: -0.3674 (-0.3674) time: 5.3046 data: 4.4372 max mem: 29859 [20:20:10.136555] Epoch: [316] [ 20/850] eta: 0:14:51 lr: 0.001700 loss: 0.0154 (0.0164) loss_rec_all: 0.0517 (0.0526) loss_rec_sfr: 0.0619 (0.0702) loss_cl: -0.3676 (-0.3675) time: 0.8620 data: 0.0003 max mem: 29859 [20:20:27.406396] Epoch: [316] [ 40/850] eta: 0:13:06 lr: 0.001700 loss: 0.0138 (0.0155) loss_rec_all: 0.0502 (0.0518) loss_rec_sfr: 0.0569 (0.0681) loss_cl: -0.3678 (-0.3677) time: 0.8634 data: 0.0003 max mem: 29859 [20:20:44.646277] Epoch: [316] [ 60/850] eta: 0:12:18 lr: 0.001700 loss: 0.0147 (0.0154) loss_rec_all: 0.0510 (0.0517) loss_rec_sfr: 0.0580 (0.0682) loss_cl: -0.3675 (-0.3676) time: 0.8619 data: 0.0003 max mem: 29859 [20:21:01.921391] Epoch: [316] [ 80/850] eta: 0:11:46 lr: 0.001700 loss: 0.0141 (0.0152) loss_rec_all: 0.0505 (0.0515) loss_rec_sfr: 0.0557 (0.0684) loss_cl: -0.3678 (-0.3677) time: 0.8637 data: 0.0003 max mem: 29859 [20:21:19.163163] Epoch: [316] [100/850] eta: 0:11:19 lr: 0.001700 loss: 0.0149 (0.0152) loss_rec_all: 0.0513 (0.0515) loss_rec_sfr: 0.0728 (0.0698) loss_cl: -0.3676 (-0.3677) time: 0.8620 data: 0.0002 max mem: 29859 [20:21:36.437306] Epoch: [316] [120/850] eta: 0:10:56 lr: 0.001700 loss: 0.0133 (0.0151) loss_rec_all: 0.0498 (0.0514) loss_rec_sfr: 0.0724 (0.0708) loss_cl: -0.3678 (-0.3677) time: 0.8636 data: 0.0002 max mem: 29859 [20:21:53.669939] Epoch: [316] [140/850] eta: 0:10:34 lr: 0.001699 loss: 0.0141 (0.0151) loss_rec_all: 0.0503 (0.0514) loss_rec_sfr: 0.0600 (0.0712) loss_cl: -0.3674 (-0.3676) time: 0.8616 data: 0.0003 max mem: 29859 [20:22:10.964453] Epoch: [316] [160/850] eta: 0:10:14 lr: 0.001699 loss: 0.0150 (0.0153) loss_rec_all: 0.0513 (0.0515) loss_rec_sfr: 0.0698 (0.0711) loss_cl: -0.3668 (-0.3675) time: 0.8647 data: 0.0003 max mem: 29859 [20:22:28.201501] Epoch: [316] [180/850] eta: 0:09:54 lr: 0.001699 loss: 0.0149 (0.0153) loss_rec_all: 0.0511 (0.0516) loss_rec_sfr: 0.0733 (0.0714) loss_cl: -0.3665 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [20:22:45.529607] Epoch: [316] [200/850] eta: 0:09:35 lr: 0.001699 loss: 0.0150 (0.0153) loss_rec_all: 0.0512 (0.0516) loss_rec_sfr: 0.0567 (0.0718) loss_cl: -0.3670 (-0.3674) time: 0.8663 data: 0.0003 max mem: 29859 [20:23:02.774246] Epoch: [316] [220/850] eta: 0:09:16 lr: 0.001699 loss: 0.0150 (0.0153) loss_rec_all: 0.0512 (0.0515) loss_rec_sfr: 0.0758 (0.0724) loss_cl: -0.3675 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [20:23:20.054658] Epoch: [316] [240/850] eta: 0:08:57 lr: 0.001699 loss: 0.0164 (0.0154) loss_rec_all: 0.0525 (0.0517) loss_rec_sfr: 0.0610 (0.0722) loss_cl: -0.3677 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [20:23:37.301955] Epoch: [316] [260/850] eta: 0:08:39 lr: 0.001699 loss: 0.0156 (0.0155) loss_rec_all: 0.0520 (0.0517) loss_rec_sfr: 0.0591 (0.0719) loss_cl: -0.3683 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [20:23:54.595087] Epoch: [316] [280/850] eta: 0:08:21 lr: 0.001699 loss: 0.0161 (0.0155) loss_rec_all: 0.0524 (0.0518) loss_rec_sfr: 0.0745 (0.0728) loss_cl: -0.3678 (-0.3675) time: 0.8646 data: 0.0002 max mem: 29859 [20:24:11.899123] Epoch: [316] [300/850] eta: 0:08:02 lr: 0.001699 loss: 0.0158 (0.0156) loss_rec_all: 0.0520 (0.0518) loss_rec_sfr: 0.0772 (0.0734) loss_cl: -0.3672 (-0.3674) time: 0.8651 data: 0.0003 max mem: 29859 [20:24:29.269335] Epoch: [316] [320/850] eta: 0:07:45 lr: 0.001698 loss: 0.0155 (0.0156) loss_rec_all: 0.0517 (0.0518) loss_rec_sfr: 0.0587 (0.0733) loss_cl: -0.3666 (-0.3674) time: 0.8684 data: 0.0004 max mem: 29859 [20:24:46.572201] Epoch: [316] [340/850] eta: 0:07:27 lr: 0.001698 loss: 0.0155 (0.0156) loss_rec_all: 0.0518 (0.0519) loss_rec_sfr: 0.0724 (0.0732) loss_cl: -0.3671 (-0.3674) time: 0.8651 data: 0.0003 max mem: 29859 [20:25:03.970481] Epoch: [316] [360/850] eta: 0:07:09 lr: 0.001698 loss: 0.0171 (0.0157) loss_rec_all: 0.0530 (0.0519) loss_rec_sfr: 0.0791 (0.0738) loss_cl: -0.3675 (-0.3674) time: 0.8699 data: 0.0003 max mem: 29859 [20:25:21.220226] Epoch: [316] [380/850] eta: 0:06:51 lr: 0.001698 loss: 0.0153 (0.0157) loss_rec_all: 0.0515 (0.0519) loss_rec_sfr: 0.0535 (0.0733) loss_cl: -0.3680 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [20:25:38.523022] Epoch: [316] [400/850] eta: 0:06:33 lr: 0.001698 loss: 0.0152 (0.0157) loss_rec_all: 0.0514 (0.0519) loss_rec_sfr: 0.0706 (0.0733) loss_cl: -0.3680 (-0.3675) time: 0.8651 data: 0.0003 max mem: 29859 [20:25:55.786363] Epoch: [316] [420/850] eta: 0:06:16 lr: 0.001698 loss: 0.0148 (0.0157) loss_rec_all: 0.0510 (0.0519) loss_rec_sfr: 0.0792 (0.0735) loss_cl: -0.3680 (-0.3675) time: 0.8631 data: 0.0002 max mem: 29859 [20:26:13.088775] Epoch: [316] [440/850] eta: 0:05:58 lr: 0.001698 loss: 0.0140 (0.0157) loss_rec_all: 0.0502 (0.0519) loss_rec_sfr: 0.0708 (0.0734) loss_cl: -0.3669 (-0.3674) time: 0.8651 data: 0.0003 max mem: 29859 [20:26:30.361849] Epoch: [316] [460/850] eta: 0:05:40 lr: 0.001698 loss: 0.0153 (0.0157) loss_rec_all: 0.0513 (0.0519) loss_rec_sfr: 0.0724 (0.0735) loss_cl: -0.3662 (-0.3674) time: 0.8636 data: 0.0003 max mem: 29859 [20:26:47.661509] Epoch: [316] [480/850] eta: 0:05:23 lr: 0.001698 loss: 0.0146 (0.0157) loss_rec_all: 0.0508 (0.0519) loss_rec_sfr: 0.0603 (0.0732) loss_cl: -0.3666 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [20:27:04.897162] Epoch: [316] [500/850] eta: 0:05:05 lr: 0.001698 loss: 0.0159 (0.0157) loss_rec_all: 0.0520 (0.0519) loss_rec_sfr: 0.0684 (0.0733) loss_cl: -0.3668 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [20:27:22.198313] Epoch: [316] [520/850] eta: 0:04:47 lr: 0.001697 loss: 0.0152 (0.0157) loss_rec_all: 0.0516 (0.0519) loss_rec_sfr: 0.0723 (0.0736) loss_cl: -0.3677 (-0.3673) time: 0.8650 data: 0.0003 max mem: 29859 [20:27:39.444975] Epoch: [316] [540/850] eta: 0:04:30 lr: 0.001697 loss: 0.0144 (0.0157) loss_rec_all: 0.0508 (0.0519) loss_rec_sfr: 0.0632 (0.0734) loss_cl: -0.3677 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [20:27:56.803514] Epoch: [316] [560/850] eta: 0:04:12 lr: 0.001697 loss: 0.0162 (0.0157) loss_rec_all: 0.0521 (0.0519) loss_rec_sfr: 0.0899 (0.0739) loss_cl: -0.3674 (-0.3673) time: 0.8678 data: 0.0004 max mem: 29859 [20:28:14.098936] Epoch: [316] [580/850] eta: 0:03:55 lr: 0.001697 loss: 0.0163 (0.0158) loss_rec_all: 0.0527 (0.0520) loss_rec_sfr: 0.0601 (0.0736) loss_cl: -0.3671 (-0.3673) time: 0.8647 data: 0.0004 max mem: 29859 [20:28:31.421192] Epoch: [316] [600/850] eta: 0:03:37 lr: 0.001697 loss: 0.0166 (0.0158) loss_rec_all: 0.0530 (0.0520) loss_rec_sfr: 0.0820 (0.0738) loss_cl: -0.3675 (-0.3673) time: 0.8660 data: 0.0003 max mem: 29859 [20:28:48.660406] Epoch: [316] [620/850] eta: 0:03:20 lr: 0.001697 loss: 0.0169 (0.0159) loss_rec_all: 0.0532 (0.0521) loss_rec_sfr: 0.0708 (0.0738) loss_cl: -0.3676 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [20:29:05.970122] Epoch: [316] [640/850] eta: 0:03:02 lr: 0.001697 loss: 0.0184 (0.0160) loss_rec_all: 0.0544 (0.0522) loss_rec_sfr: 0.0802 (0.0741) loss_cl: -0.3670 (-0.3673) time: 0.8654 data: 0.0003 max mem: 29859 [20:29:23.241370] Epoch: [316] [660/850] eta: 0:02:45 lr: 0.001697 loss: 0.0153 (0.0159) loss_rec_all: 0.0517 (0.0522) loss_rec_sfr: 0.0584 (0.0740) loss_cl: -0.3668 (-0.3673) time: 0.8635 data: 0.0003 max mem: 29859 [20:29:40.530817] Epoch: [316] [680/850] eta: 0:02:28 lr: 0.001697 loss: 0.0159 (0.0160) loss_rec_all: 0.0522 (0.0522) loss_rec_sfr: 0.0561 (0.0740) loss_cl: -0.3669 (-0.3673) time: 0.8644 data: 0.0003 max mem: 29859 [20:29:57.761499] Epoch: [316] [700/850] eta: 0:02:10 lr: 0.001696 loss: 0.0158 (0.0159) loss_rec_all: 0.0521 (0.0522) loss_rec_sfr: 0.0578 (0.0739) loss_cl: -0.3674 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [20:30:15.052671] Epoch: [316] [720/850] eta: 0:01:53 lr: 0.001696 loss: 0.0163 (0.0160) loss_rec_all: 0.0527 (0.0522) loss_rec_sfr: 0.0757 (0.0741) loss_cl: -0.3675 (-0.3673) time: 0.8645 data: 0.0003 max mem: 29859 [20:30:32.320022] Epoch: [316] [740/850] eta: 0:01:35 lr: 0.001696 loss: 0.0139 (0.0159) loss_rec_all: 0.0503 (0.0521) loss_rec_sfr: 0.0522 (0.0738) loss_cl: -0.3680 (-0.3673) time: 0.8633 data: 0.0003 max mem: 29859 [20:30:49.600237] Epoch: [316] [760/850] eta: 0:01:18 lr: 0.001696 loss: 0.0146 (0.0159) loss_rec_all: 0.0506 (0.0521) loss_rec_sfr: 0.0728 (0.0739) loss_cl: -0.3675 (-0.3673) time: 0.8639 data: 0.0003 max mem: 29859 [20:31:06.856064] Epoch: [316] [780/850] eta: 0:01:00 lr: 0.001696 loss: 0.0147 (0.0159) loss_rec_all: 0.0507 (0.0521) loss_rec_sfr: 0.0576 (0.0738) loss_cl: -0.3674 (-0.3673) time: 0.8627 data: 0.0003 max mem: 29859 [20:31:24.200206] Epoch: [316] [800/850] eta: 0:00:43 lr: 0.001696 loss: 0.0140 (0.0159) loss_rec_all: 0.0503 (0.0521) loss_rec_sfr: 0.0520 (0.0738) loss_cl: -0.3677 (-0.3674) time: 0.8672 data: 0.0003 max mem: 29859 [20:31:41.448791] Epoch: [316] [820/850] eta: 0:00:26 lr: 0.001696 loss: 0.0140 (0.0158) loss_rec_all: 0.0504 (0.0520) loss_rec_sfr: 0.0507 (0.0734) loss_cl: -0.3675 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [20:31:58.795683] Epoch: [316] [840/850] eta: 0:00:08 lr: 0.001696 loss: 0.0140 (0.0158) loss_rec_all: 0.0505 (0.0520) loss_rec_sfr: 0.0633 (0.0735) loss_cl: -0.3678 (-0.3674) time: 0.8673 data: 0.0006 max mem: 29859 [20:32:06.605069] Epoch: [316] [849/850] eta: 0:00:00 lr: 0.001696 loss: 0.0139 (0.0158) loss_rec_all: 0.0503 (0.0520) loss_rec_sfr: 0.0586 (0.0734) loss_cl: -0.3677 (-0.3674) time: 0.8688 data: 0.0006 max mem: 29859 [20:32:06.747419] Epoch: [316] Total time: 0:12:19 (0.8696 s / it) [20:32:06.753366] Averaged stats: lr: 0.001696 loss: 0.0139 (0.0158) loss_rec_all: 0.0503 (0.0521) loss_rec_sfr: 0.0586 (0.0735) loss_cl: -0.3677 (-0.3673) [20:32:06.771546] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [20:32:12.213293] Epoch: [317] [ 0/850] eta: 1:17:03 lr: 0.001696 loss: 0.0157 (0.0157) loss_rec_all: 0.0516 (0.0516) loss_rec_sfr: 0.1109 (0.1109) loss_cl: -0.3671 (-0.3671) time: 5.4399 data: 4.5757 max mem: 29859 [20:32:29.488735] Epoch: [317] [ 20/850] eta: 0:14:57 lr: 0.001696 loss: 0.0138 (0.0143) loss_rec_all: 0.0500 (0.0506) loss_rec_sfr: 0.0561 (0.0721) loss_cl: -0.3674 (-0.3675) time: 0.8637 data: 0.0004 max mem: 29859 [20:32:46.833736] Epoch: [317] [ 40/850] eta: 0:13:11 lr: 0.001695 loss: 0.0140 (0.0142) loss_rec_all: 0.0505 (0.0504) loss_rec_sfr: 0.0533 (0.0716) loss_cl: -0.3673 (-0.3674) time: 0.8672 data: 0.0003 max mem: 29859 [20:33:04.106488] Epoch: [317] [ 60/850] eta: 0:12:22 lr: 0.001695 loss: 0.0131 (0.0142) loss_rec_all: 0.0493 (0.0505) loss_rec_sfr: 0.0579 (0.0710) loss_cl: -0.3668 (-0.3673) time: 0.8636 data: 0.0003 max mem: 29859 [20:33:21.419046] Epoch: [317] [ 80/850] eta: 0:11:49 lr: 0.001695 loss: 0.0152 (0.0145) loss_rec_all: 0.0511 (0.0508) loss_rec_sfr: 0.0732 (0.0719) loss_cl: -0.3670 (-0.3672) time: 0.8656 data: 0.0003 max mem: 29859 [20:33:38.682334] Epoch: [317] [100/850] eta: 0:11:22 lr: 0.001695 loss: 0.0167 (0.0148) loss_rec_all: 0.0525 (0.0510) loss_rec_sfr: 0.0785 (0.0746) loss_cl: -0.3674 (-0.3672) time: 0.8631 data: 0.0003 max mem: 29859 [20:33:55.982449] Epoch: [317] [120/850] eta: 0:10:58 lr: 0.001695 loss: 0.0155 (0.0150) loss_rec_all: 0.0517 (0.0512) loss_rec_sfr: 0.0746 (0.0747) loss_cl: -0.3680 (-0.3673) time: 0.8650 data: 0.0002 max mem: 29859 [20:34:13.243261] Epoch: [317] [140/850] eta: 0:10:36 lr: 0.001695 loss: 0.0151 (0.0151) loss_rec_all: 0.0516 (0.0513) loss_rec_sfr: 0.0522 (0.0737) loss_cl: -0.3682 (-0.3675) time: 0.8630 data: 0.0003 max mem: 29859 [20:34:30.593256] Epoch: [317] [160/850] eta: 0:10:16 lr: 0.001695 loss: 0.0159 (0.0153) loss_rec_all: 0.0520 (0.0515) loss_rec_sfr: 0.0791 (0.0745) loss_cl: -0.3675 (-0.3675) time: 0.8675 data: 0.0003 max mem: 29859 [20:34:47.860371] Epoch: [317] [180/850] eta: 0:09:56 lr: 0.001695 loss: 0.0144 (0.0152) loss_rec_all: 0.0507 (0.0514) loss_rec_sfr: 0.0526 (0.0742) loss_cl: -0.3670 (-0.3674) time: 0.8633 data: 0.0003 max mem: 29859 [20:35:05.182917] Epoch: [317] [200/850] eta: 0:09:36 lr: 0.001695 loss: 0.0143 (0.0151) loss_rec_all: 0.0503 (0.0514) loss_rec_sfr: 0.0558 (0.0736) loss_cl: -0.3665 (-0.3673) time: 0.8661 data: 0.0003 max mem: 29859 [20:35:22.443996] Epoch: [317] [220/850] eta: 0:09:17 lr: 0.001694 loss: 0.0146 (0.0151) loss_rec_all: 0.0506 (0.0513) loss_rec_sfr: 0.0746 (0.0739) loss_cl: -0.3665 (-0.3672) time: 0.8630 data: 0.0003 max mem: 29859 [20:35:39.743762] Epoch: [317] [240/850] eta: 0:08:59 lr: 0.001694 loss: 0.0139 (0.0150) loss_rec_all: 0.0502 (0.0512) loss_rec_sfr: 0.0542 (0.0734) loss_cl: -0.3671 (-0.3672) time: 0.8649 data: 0.0002 max mem: 29859 [20:35:57.030546] Epoch: [317] [260/850] eta: 0:08:40 lr: 0.001694 loss: 0.0135 (0.0150) loss_rec_all: 0.0499 (0.0512) loss_rec_sfr: 0.0517 (0.0727) loss_cl: -0.3678 (-0.3673) time: 0.8642 data: 0.0003 max mem: 29859 [20:36:14.391139] Epoch: [317] [280/850] eta: 0:08:22 lr: 0.001694 loss: 0.0145 (0.0150) loss_rec_all: 0.0509 (0.0512) loss_rec_sfr: 0.0538 (0.0723) loss_cl: -0.3680 (-0.3673) time: 0.8678 data: 0.0004 max mem: 29859 [20:36:31.702131] Epoch: [317] [300/850] eta: 0:08:04 lr: 0.001694 loss: 0.0147 (0.0150) loss_rec_all: 0.0511 (0.0512) loss_rec_sfr: 0.0555 (0.0722) loss_cl: -0.3676 (-0.3673) time: 0.8655 data: 0.0003 max mem: 29859 [20:36:49.050101] Epoch: [317] [320/850] eta: 0:07:46 lr: 0.001694 loss: 0.0146 (0.0150) loss_rec_all: 0.0509 (0.0513) loss_rec_sfr: 0.0578 (0.0723) loss_cl: -0.3674 (-0.3673) time: 0.8673 data: 0.0004 max mem: 29859 [20:37:06.341972] Epoch: [317] [340/850] eta: 0:07:27 lr: 0.001694 loss: 0.0147 (0.0150) loss_rec_all: 0.0509 (0.0512) loss_rec_sfr: 0.0556 (0.0722) loss_cl: -0.3674 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [20:37:23.646135] Epoch: [317] [360/850] eta: 0:07:10 lr: 0.001694 loss: 0.0137 (0.0150) loss_rec_all: 0.0499 (0.0513) loss_rec_sfr: 0.0564 (0.0721) loss_cl: -0.3672 (-0.3673) time: 0.8651 data: 0.0002 max mem: 29859 [20:37:40.886690] Epoch: [317] [380/850] eta: 0:06:52 lr: 0.001694 loss: 0.0163 (0.0151) loss_rec_all: 0.0526 (0.0513) loss_rec_sfr: 0.0747 (0.0725) loss_cl: -0.3677 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [20:37:58.187721] Epoch: [317] [400/850] eta: 0:06:34 lr: 0.001693 loss: 0.0144 (0.0151) loss_rec_all: 0.0507 (0.0513) loss_rec_sfr: 0.0615 (0.0725) loss_cl: -0.3676 (-0.3673) time: 0.8650 data: 0.0002 max mem: 29859 [20:38:15.462697] Epoch: [317] [420/850] eta: 0:06:16 lr: 0.001693 loss: 0.0156 (0.0151) loss_rec_all: 0.0517 (0.0513) loss_rec_sfr: 0.0777 (0.0728) loss_cl: -0.3673 (-0.3673) time: 0.8637 data: 0.0003 max mem: 29859 [20:38:32.752806] Epoch: [317] [440/850] eta: 0:05:58 lr: 0.001693 loss: 0.0135 (0.0151) loss_rec_all: 0.0499 (0.0513) loss_rec_sfr: 0.0557 (0.0725) loss_cl: -0.3672 (-0.3673) time: 0.8645 data: 0.0003 max mem: 29859 [20:38:50.034612] Epoch: [317] [460/850] eta: 0:05:41 lr: 0.001693 loss: 0.0141 (0.0151) loss_rec_all: 0.0502 (0.0513) loss_rec_sfr: 0.0725 (0.0727) loss_cl: -0.3668 (-0.3673) time: 0.8640 data: 0.0003 max mem: 29859 [20:39:07.357815] Epoch: [317] [480/850] eta: 0:05:23 lr: 0.001693 loss: 0.0155 (0.0152) loss_rec_all: 0.0515 (0.0514) loss_rec_sfr: 0.0803 (0.0730) loss_cl: -0.3676 (-0.3673) time: 0.8661 data: 0.0002 max mem: 29859 [20:39:24.615955] Epoch: [317] [500/850] eta: 0:05:05 lr: 0.001693 loss: 0.0161 (0.0152) loss_rec_all: 0.0524 (0.0514) loss_rec_sfr: 0.0590 (0.0729) loss_cl: -0.3676 (-0.3673) time: 0.8629 data: 0.0003 max mem: 29859 [20:39:41.953082] Epoch: [317] [520/850] eta: 0:04:48 lr: 0.001693 loss: 0.0147 (0.0152) loss_rec_all: 0.0510 (0.0514) loss_rec_sfr: 0.0573 (0.0730) loss_cl: -0.3680 (-0.3673) time: 0.8668 data: 0.0003 max mem: 29859 [20:39:59.263921] Epoch: [317] [540/850] eta: 0:04:30 lr: 0.001693 loss: 0.0150 (0.0152) loss_rec_all: 0.0514 (0.0515) loss_rec_sfr: 0.0604 (0.0730) loss_cl: -0.3679 (-0.3674) time: 0.8655 data: 0.0004 max mem: 29859 [20:40:16.630574] Epoch: [317] [560/850] eta: 0:04:13 lr: 0.001693 loss: 0.0140 (0.0152) loss_rec_all: 0.0504 (0.0514) loss_rec_sfr: 0.0550 (0.0727) loss_cl: -0.3684 (-0.3674) time: 0.8682 data: 0.0003 max mem: 29859 [20:40:33.931897] Epoch: [317] [580/850] eta: 0:03:55 lr: 0.001693 loss: 0.0155 (0.0152) loss_rec_all: 0.0518 (0.0515) loss_rec_sfr: 0.0574 (0.0728) loss_cl: -0.3680 (-0.3674) time: 0.8650 data: 0.0003 max mem: 29859 [20:40:51.241336] Epoch: [317] [600/850] eta: 0:03:38 lr: 0.001692 loss: 0.0149 (0.0152) loss_rec_all: 0.0514 (0.0515) loss_rec_sfr: 0.0569 (0.0726) loss_cl: -0.3670 (-0.3674) time: 0.8654 data: 0.0002 max mem: 29859 [20:41:08.494624] Epoch: [317] [620/850] eta: 0:03:20 lr: 0.001692 loss: 0.0155 (0.0153) loss_rec_all: 0.0517 (0.0515) loss_rec_sfr: 0.0571 (0.0725) loss_cl: -0.3663 (-0.3674) time: 0.8626 data: 0.0003 max mem: 29859 [20:41:25.792666] Epoch: [317] [640/850] eta: 0:03:03 lr: 0.001692 loss: 0.0147 (0.0153) loss_rec_all: 0.0509 (0.0515) loss_rec_sfr: 0.0532 (0.0724) loss_cl: -0.3662 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [20:41:43.056670] Epoch: [317] [660/850] eta: 0:02:45 lr: 0.001692 loss: 0.0152 (0.0153) loss_rec_all: 0.0515 (0.0515) loss_rec_sfr: 0.0554 (0.0723) loss_cl: -0.3662 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [20:42:00.368318] Epoch: [317] [680/850] eta: 0:02:28 lr: 0.001692 loss: 0.0158 (0.0153) loss_rec_all: 0.0520 (0.0516) loss_rec_sfr: 0.0742 (0.0724) loss_cl: -0.3669 (-0.3673) time: 0.8655 data: 0.0003 max mem: 29859 [20:42:17.616264] Epoch: [317] [700/850] eta: 0:02:10 lr: 0.001692 loss: 0.0158 (0.0154) loss_rec_all: 0.0519 (0.0516) loss_rec_sfr: 0.0595 (0.0724) loss_cl: -0.3676 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [20:42:34.922295] Epoch: [317] [720/850] eta: 0:01:53 lr: 0.001692 loss: 0.0143 (0.0153) loss_rec_all: 0.0507 (0.0516) loss_rec_sfr: 0.0521 (0.0722) loss_cl: -0.3684 (-0.3673) time: 0.8652 data: 0.0003 max mem: 29859 [20:42:52.155885] Epoch: [317] [740/850] eta: 0:01:35 lr: 0.001692 loss: 0.0155 (0.0153) loss_rec_all: 0.0519 (0.0516) loss_rec_sfr: 0.0743 (0.0723) loss_cl: -0.3685 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [20:43:09.429853] Epoch: [317] [760/850] eta: 0:01:18 lr: 0.001692 loss: 0.0144 (0.0153) loss_rec_all: 0.0508 (0.0516) loss_rec_sfr: 0.0533 (0.0720) loss_cl: -0.3679 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [20:43:26.723896] Epoch: [317] [780/850] eta: 0:01:00 lr: 0.001691 loss: 0.0150 (0.0153) loss_rec_all: 0.0515 (0.0516) loss_rec_sfr: 0.0737 (0.0721) loss_cl: -0.3678 (-0.3674) time: 0.8646 data: 0.0004 max mem: 29859 [20:43:44.069804] Epoch: [317] [800/850] eta: 0:00:43 lr: 0.001691 loss: 0.0143 (0.0153) loss_rec_all: 0.0506 (0.0516) loss_rec_sfr: 0.0545 (0.0720) loss_cl: -0.3674 (-0.3674) time: 0.8672 data: 0.0003 max mem: 29859 [20:44:01.413309] Epoch: [317] [820/850] eta: 0:00:26 lr: 0.001691 loss: 0.0157 (0.0153) loss_rec_all: 0.0516 (0.0516) loss_rec_sfr: 0.0759 (0.0721) loss_cl: -0.3664 (-0.3673) time: 0.8671 data: 0.0004 max mem: 29859 [20:44:18.717644] Epoch: [317] [840/850] eta: 0:00:08 lr: 0.001691 loss: 0.0162 (0.0154) loss_rec_all: 0.0521 (0.0516) loss_rec_sfr: 0.0775 (0.0722) loss_cl: -0.3663 (-0.3673) time: 0.8652 data: 0.0006 max mem: 29859 [20:44:26.487258] Epoch: [317] [849/850] eta: 0:00:00 lr: 0.001691 loss: 0.0156 (0.0154) loss_rec_all: 0.0516 (0.0516) loss_rec_sfr: 0.0630 (0.0722) loss_cl: -0.3667 (-0.3673) time: 0.8653 data: 0.0006 max mem: 29859 [20:44:26.611576] Epoch: [317] Total time: 0:12:19 (0.8704 s / it) [20:44:26.629191] Averaged stats: lr: 0.001691 loss: 0.0156 (0.0154) loss_rec_all: 0.0516 (0.0517) loss_rec_sfr: 0.0630 (0.0719) loss_cl: -0.3667 (-0.3673) [20:44:26.637850] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [20:44:32.972369] Epoch: [318] [ 0/850] eta: 1:29:43 lr: 0.001691 loss: 0.0168 (0.0168) loss_rec_all: 0.0530 (0.0530) loss_rec_sfr: 0.0730 (0.0730) loss_cl: -0.3675 (-0.3675) time: 6.3332 data: 5.4678 max mem: 29859 [20:44:50.233111] Epoch: [318] [ 20/850] eta: 0:15:32 lr: 0.001691 loss: 0.0149 (0.0156) loss_rec_all: 0.0513 (0.0518) loss_rec_sfr: 0.0559 (0.0713) loss_cl: -0.3676 (-0.3674) time: 0.8630 data: 0.0008 max mem: 29859 [20:45:07.496424] Epoch: [318] [ 40/850] eta: 0:13:27 lr: 0.001691 loss: 0.0146 (0.0155) loss_rec_all: 0.0509 (0.0518) loss_rec_sfr: 0.0560 (0.0694) loss_cl: -0.3678 (-0.3676) time: 0.8631 data: 0.0002 max mem: 29859 [20:45:24.748289] Epoch: [318] [ 60/850] eta: 0:12:32 lr: 0.001691 loss: 0.0136 (0.0155) loss_rec_all: 0.0501 (0.0518) loss_rec_sfr: 0.0614 (0.0703) loss_cl: -0.3681 (-0.3677) time: 0.8625 data: 0.0002 max mem: 29859 [20:45:42.030006] Epoch: [318] [ 80/850] eta: 0:11:56 lr: 0.001691 loss: 0.0154 (0.0156) loss_rec_all: 0.0515 (0.0519) loss_rec_sfr: 0.0720 (0.0707) loss_cl: -0.3676 (-0.3677) time: 0.8640 data: 0.0003 max mem: 29859 [20:45:59.288371] Epoch: [318] [100/850] eta: 0:11:27 lr: 0.001691 loss: 0.0144 (0.0155) loss_rec_all: 0.0505 (0.0517) loss_rec_sfr: 0.0563 (0.0693) loss_cl: -0.3676 (-0.3677) time: 0.8629 data: 0.0003 max mem: 29859 [20:46:16.610062] Epoch: [318] [120/850] eta: 0:11:03 lr: 0.001690 loss: 0.0142 (0.0154) loss_rec_all: 0.0505 (0.0517) loss_rec_sfr: 0.0722 (0.0703) loss_cl: -0.3675 (-0.3677) time: 0.8660 data: 0.0003 max mem: 29859 [20:46:33.865375] Epoch: [318] [140/850] eta: 0:10:40 lr: 0.001690 loss: 0.0158 (0.0155) loss_rec_all: 0.0522 (0.0518) loss_rec_sfr: 0.0734 (0.0709) loss_cl: -0.3667 (-0.3676) time: 0.8627 data: 0.0002 max mem: 29859 [20:46:51.179316] Epoch: [318] [160/850] eta: 0:10:19 lr: 0.001690 loss: 0.0139 (0.0154) loss_rec_all: 0.0501 (0.0517) loss_rec_sfr: 0.0559 (0.0707) loss_cl: -0.3670 (-0.3675) time: 0.8657 data: 0.0003 max mem: 29859 [20:47:08.429205] Epoch: [318] [180/850] eta: 0:09:58 lr: 0.001690 loss: 0.0155 (0.0155) loss_rec_all: 0.0519 (0.0517) loss_rec_sfr: 0.0583 (0.0709) loss_cl: -0.3675 (-0.3675) time: 0.8624 data: 0.0003 max mem: 29859 [20:47:25.731678] Epoch: [318] [200/850] eta: 0:09:39 lr: 0.001690 loss: 0.0146 (0.0155) loss_rec_all: 0.0510 (0.0517) loss_rec_sfr: 0.0740 (0.0719) loss_cl: -0.3677 (-0.3675) time: 0.8651 data: 0.0003 max mem: 29859 [20:47:43.044836] Epoch: [318] [220/850] eta: 0:09:19 lr: 0.001690 loss: 0.0165 (0.0157) loss_rec_all: 0.0528 (0.0519) loss_rec_sfr: 0.0787 (0.0724) loss_cl: -0.3676 (-0.3675) time: 0.8656 data: 0.0003 max mem: 29859 [20:48:00.412871] Epoch: [318] [240/850] eta: 0:09:01 lr: 0.001690 loss: 0.0158 (0.0158) loss_rec_all: 0.0522 (0.0520) loss_rec_sfr: 0.0567 (0.0720) loss_cl: -0.3675 (-0.3675) time: 0.8683 data: 0.0004 max mem: 29859 [20:48:17.754874] Epoch: [318] [260/850] eta: 0:08:42 lr: 0.001690 loss: 0.0168 (0.0159) loss_rec_all: 0.0529 (0.0521) loss_rec_sfr: 0.0562 (0.0718) loss_cl: -0.3674 (-0.3675) time: 0.8670 data: 0.0003 max mem: 29859 [20:48:35.054693] Epoch: [318] [280/850] eta: 0:08:23 lr: 0.001690 loss: 0.0153 (0.0159) loss_rec_all: 0.0514 (0.0521) loss_rec_sfr: 0.0751 (0.0720) loss_cl: -0.3673 (-0.3675) time: 0.8649 data: 0.0003 max mem: 29859 [20:48:52.330639] Epoch: [318] [300/850] eta: 0:08:05 lr: 0.001690 loss: 0.0151 (0.0158) loss_rec_all: 0.0514 (0.0521) loss_rec_sfr: 0.0565 (0.0716) loss_cl: -0.3673 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [20:49:09.656391] Epoch: [318] [320/850] eta: 0:07:47 lr: 0.001689 loss: 0.0153 (0.0159) loss_rec_all: 0.0516 (0.0521) loss_rec_sfr: 0.0785 (0.0721) loss_cl: -0.3673 (-0.3674) time: 0.8662 data: 0.0003 max mem: 29859 [20:49:26.938073] Epoch: [318] [340/850] eta: 0:07:29 lr: 0.001689 loss: 0.0153 (0.0158) loss_rec_all: 0.0516 (0.0521) loss_rec_sfr: 0.0532 (0.0719) loss_cl: -0.3674 (-0.3674) time: 0.8640 data: 0.0003 max mem: 29859 [20:49:44.246655] Epoch: [318] [360/850] eta: 0:07:11 lr: 0.001689 loss: 0.0141 (0.0158) loss_rec_all: 0.0504 (0.0520) loss_rec_sfr: 0.0522 (0.0717) loss_cl: -0.3674 (-0.3674) time: 0.8654 data: 0.0002 max mem: 29859 [20:50:01.495522] Epoch: [318] [380/850] eta: 0:06:53 lr: 0.001689 loss: 0.0140 (0.0157) loss_rec_all: 0.0504 (0.0520) loss_rec_sfr: 0.0494 (0.0714) loss_cl: -0.3673 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [20:50:18.800337] Epoch: [318] [400/850] eta: 0:06:35 lr: 0.001689 loss: 0.0132 (0.0156) loss_rec_all: 0.0495 (0.0519) loss_rec_sfr: 0.0553 (0.0711) loss_cl: -0.3666 (-0.3674) time: 0.8652 data: 0.0002 max mem: 29859 [20:50:36.048565] Epoch: [318] [420/850] eta: 0:06:17 lr: 0.001689 loss: 0.0130 (0.0155) loss_rec_all: 0.0492 (0.0518) loss_rec_sfr: 0.0515 (0.0709) loss_cl: -0.3671 (-0.3674) time: 0.8623 data: 0.0003 max mem: 29859 [20:50:53.340702] Epoch: [318] [440/850] eta: 0:05:59 lr: 0.001689 loss: 0.0141 (0.0155) loss_rec_all: 0.0505 (0.0517) loss_rec_sfr: 0.0564 (0.0707) loss_cl: -0.3672 (-0.3674) time: 0.8646 data: 0.0002 max mem: 29859 [20:51:10.613481] Epoch: [318] [460/850] eta: 0:05:41 lr: 0.001689 loss: 0.0142 (0.0155) loss_rec_all: 0.0507 (0.0517) loss_rec_sfr: 0.0575 (0.0705) loss_cl: -0.3675 (-0.3674) time: 0.8636 data: 0.0003 max mem: 29859 [20:51:27.917819] Epoch: [318] [480/850] eta: 0:05:24 lr: 0.001689 loss: 0.0161 (0.0155) loss_rec_all: 0.0521 (0.0517) loss_rec_sfr: 0.0874 (0.0712) loss_cl: -0.3681 (-0.3674) time: 0.8652 data: 0.0003 max mem: 29859 [20:51:45.223717] Epoch: [318] [500/850] eta: 0:05:06 lr: 0.001688 loss: 0.0142 (0.0154) loss_rec_all: 0.0507 (0.0517) loss_rec_sfr: 0.0559 (0.0710) loss_cl: -0.3675 (-0.3674) time: 0.8652 data: 0.0004 max mem: 29859 [20:52:02.567043] Epoch: [318] [520/850] eta: 0:04:48 lr: 0.001688 loss: 0.0137 (0.0154) loss_rec_all: 0.0500 (0.0516) loss_rec_sfr: 0.0573 (0.0710) loss_cl: -0.3672 (-0.3674) time: 0.8671 data: 0.0004 max mem: 29859 [20:52:19.835474] Epoch: [318] [540/850] eta: 0:04:31 lr: 0.001688 loss: 0.0135 (0.0153) loss_rec_all: 0.0499 (0.0516) loss_rec_sfr: 0.0546 (0.0709) loss_cl: -0.3666 (-0.3674) time: 0.8634 data: 0.0003 max mem: 29859 [20:52:37.132020] Epoch: [318] [560/850] eta: 0:04:13 lr: 0.001688 loss: 0.0168 (0.0154) loss_rec_all: 0.0528 (0.0516) loss_rec_sfr: 0.0797 (0.0711) loss_cl: -0.3663 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [20:52:54.390858] Epoch: [318] [580/850] eta: 0:03:55 lr: 0.001688 loss: 0.0162 (0.0154) loss_rec_all: 0.0525 (0.0517) loss_rec_sfr: 0.0586 (0.0711) loss_cl: -0.3663 (-0.3673) time: 0.8629 data: 0.0003 max mem: 29859 [20:53:11.673862] Epoch: [318] [600/850] eta: 0:03:38 lr: 0.001688 loss: 0.0163 (0.0155) loss_rec_all: 0.0526 (0.0517) loss_rec_sfr: 0.0771 (0.0714) loss_cl: -0.3669 (-0.3673) time: 0.8641 data: 0.0003 max mem: 29859 [20:53:28.941639] Epoch: [318] [620/850] eta: 0:03:20 lr: 0.001688 loss: 0.0155 (0.0155) loss_rec_all: 0.0518 (0.0517) loss_rec_sfr: 0.0542 (0.0713) loss_cl: -0.3676 (-0.3673) time: 0.8633 data: 0.0003 max mem: 29859 [20:53:46.244644] Epoch: [318] [640/850] eta: 0:03:03 lr: 0.001688 loss: 0.0166 (0.0155) loss_rec_all: 0.0528 (0.0517) loss_rec_sfr: 0.0895 (0.0717) loss_cl: -0.3683 (-0.3673) time: 0.8651 data: 0.0002 max mem: 29859 [20:54:03.489532] Epoch: [318] [660/850] eta: 0:02:45 lr: 0.001688 loss: 0.0151 (0.0155) loss_rec_all: 0.0514 (0.0518) loss_rec_sfr: 0.0703 (0.0718) loss_cl: -0.3690 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [20:54:20.793189] Epoch: [318] [680/850] eta: 0:02:28 lr: 0.001687 loss: 0.0159 (0.0156) loss_rec_all: 0.0519 (0.0518) loss_rec_sfr: 0.0765 (0.0720) loss_cl: -0.3685 (-0.3674) time: 0.8651 data: 0.0003 max mem: 29859 [20:54:38.032577] Epoch: [318] [700/850] eta: 0:02:10 lr: 0.001687 loss: 0.0145 (0.0156) loss_rec_all: 0.0509 (0.0518) loss_rec_sfr: 0.0735 (0.0721) loss_cl: -0.3676 (-0.3674) time: 0.8619 data: 0.0003 max mem: 29859 [20:54:55.332715] Epoch: [318] [720/850] eta: 0:01:53 lr: 0.001687 loss: 0.0145 (0.0156) loss_rec_all: 0.0508 (0.0518) loss_rec_sfr: 0.0534 (0.0719) loss_cl: -0.3667 (-0.3674) time: 0.8649 data: 0.0003 max mem: 29859 [20:55:12.593011] Epoch: [318] [740/850] eta: 0:01:35 lr: 0.001687 loss: 0.0144 (0.0156) loss_rec_all: 0.0507 (0.0518) loss_rec_sfr: 0.0569 (0.0718) loss_cl: -0.3670 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [20:55:29.914109] Epoch: [318] [760/850] eta: 0:01:18 lr: 0.001687 loss: 0.0156 (0.0156) loss_rec_all: 0.0519 (0.0518) loss_rec_sfr: 0.0604 (0.0719) loss_cl: -0.3676 (-0.3674) time: 0.8660 data: 0.0004 max mem: 29859 [20:55:47.196953] Epoch: [318] [780/850] eta: 0:01:00 lr: 0.001687 loss: 0.0152 (0.0156) loss_rec_all: 0.0512 (0.0518) loss_rec_sfr: 0.0550 (0.0718) loss_cl: -0.3675 (-0.3674) time: 0.8641 data: 0.0005 max mem: 29859 [20:56:04.480710] Epoch: [318] [800/850] eta: 0:00:43 lr: 0.001687 loss: 0.0157 (0.0156) loss_rec_all: 0.0514 (0.0518) loss_rec_sfr: 0.0732 (0.0719) loss_cl: -0.3676 (-0.3674) time: 0.8641 data: 0.0003 max mem: 29859 [20:56:21.742409] Epoch: [318] [820/850] eta: 0:00:26 lr: 0.001687 loss: 0.0154 (0.0156) loss_rec_all: 0.0514 (0.0518) loss_rec_sfr: 0.0734 (0.0719) loss_cl: -0.3669 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [20:56:39.102069] Epoch: [318] [840/850] eta: 0:00:08 lr: 0.001687 loss: 0.0170 (0.0156) loss_rec_all: 0.0532 (0.0518) loss_rec_sfr: 0.0785 (0.0720) loss_cl: -0.3673 (-0.3674) time: 0.8679 data: 0.0022 max mem: 29859 [20:56:46.873853] Epoch: [318] [849/850] eta: 0:00:00 lr: 0.001687 loss: 0.0170 (0.0156) loss_rec_all: 0.0533 (0.0519) loss_rec_sfr: 0.0597 (0.0722) loss_cl: -0.3673 (-0.3674) time: 0.8673 data: 0.0022 max mem: 29859 [20:56:47.024619] Epoch: [318] Total time: 0:12:20 (0.8710 s / it) [20:56:47.027480] Averaged stats: lr: 0.001687 loss: 0.0170 (0.0156) loss_rec_all: 0.0533 (0.0518) loss_rec_sfr: 0.0597 (0.0723) loss_cl: -0.3673 (-0.3673) [20:56:47.044868] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [20:56:53.205263] Epoch: [319] [ 0/850] eta: 1:27:15 lr: 0.001687 loss: 0.0246 (0.0246) loss_rec_all: 0.0608 (0.0608) loss_rec_sfr: 0.0878 (0.0878) loss_cl: -0.3682 (-0.3682) time: 6.1593 data: 5.3063 max mem: 29859 [20:57:10.432292] Epoch: [319] [ 20/850] eta: 0:15:24 lr: 0.001686 loss: 0.0161 (0.0174) loss_rec_all: 0.0521 (0.0537) loss_rec_sfr: 0.0563 (0.0707) loss_cl: -0.3674 (-0.3675) time: 0.8613 data: 0.0003 max mem: 29859 [20:57:27.711900] Epoch: [319] [ 40/850] eta: 0:13:23 lr: 0.001686 loss: 0.0183 (0.0184) loss_rec_all: 0.0544 (0.0546) loss_rec_sfr: 0.0773 (0.0737) loss_cl: -0.3669 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [20:57:44.987667] Epoch: [319] [ 60/850] eta: 0:12:30 lr: 0.001686 loss: 0.0172 (0.0184) loss_rec_all: 0.0535 (0.0545) loss_rec_sfr: 0.0778 (0.0751) loss_cl: -0.3666 (-0.3670) time: 0.8637 data: 0.0003 max mem: 29859 [20:58:02.300576] Epoch: [319] [ 80/850] eta: 0:11:55 lr: 0.001686 loss: 0.0155 (0.0180) loss_rec_all: 0.0520 (0.0542) loss_rec_sfr: 0.0557 (0.0727) loss_cl: -0.3668 (-0.3669) time: 0.8656 data: 0.0003 max mem: 29859 [20:58:19.544294] Epoch: [319] [100/850] eta: 0:11:26 lr: 0.001686 loss: 0.0164 (0.0178) loss_rec_all: 0.0525 (0.0540) loss_rec_sfr: 0.0800 (0.0742) loss_cl: -0.3673 (-0.3670) time: 0.8621 data: 0.0002 max mem: 29859 [20:58:36.810433] Epoch: [319] [120/850] eta: 0:11:02 lr: 0.001686 loss: 0.0151 (0.0175) loss_rec_all: 0.0515 (0.0537) loss_rec_sfr: 0.0550 (0.0737) loss_cl: -0.3676 (-0.3671) time: 0.8633 data: 0.0003 max mem: 29859 [20:58:54.049365] Epoch: [319] [140/850] eta: 0:10:39 lr: 0.001686 loss: 0.0159 (0.0173) loss_rec_all: 0.0519 (0.0535) loss_rec_sfr: 0.0761 (0.0744) loss_cl: -0.3680 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [20:59:11.386636] Epoch: [319] [160/850] eta: 0:10:18 lr: 0.001686 loss: 0.0154 (0.0170) loss_rec_all: 0.0516 (0.0532) loss_rec_sfr: 0.0784 (0.0746) loss_cl: -0.3680 (-0.3673) time: 0.8668 data: 0.0003 max mem: 29859 [20:59:28.638122] Epoch: [319] [180/850] eta: 0:09:58 lr: 0.001686 loss: 0.0143 (0.0168) loss_rec_all: 0.0506 (0.0530) loss_rec_sfr: 0.0558 (0.0737) loss_cl: -0.3678 (-0.3674) time: 0.8625 data: 0.0003 max mem: 29859 [20:59:45.945576] Epoch: [319] [200/850] eta: 0:09:38 lr: 0.001686 loss: 0.0136 (0.0165) loss_rec_all: 0.0499 (0.0527) loss_rec_sfr: 0.0527 (0.0730) loss_cl: -0.3675 (-0.3674) time: 0.8653 data: 0.0003 max mem: 29859 [21:00:03.193233] Epoch: [319] [220/850] eta: 0:09:19 lr: 0.001685 loss: 0.0152 (0.0164) loss_rec_all: 0.0511 (0.0526) loss_rec_sfr: 0.0703 (0.0731) loss_cl: -0.3669 (-0.3673) time: 0.8623 data: 0.0005 max mem: 29859 [21:00:20.492638] Epoch: [319] [240/850] eta: 0:09:00 lr: 0.001685 loss: 0.0135 (0.0162) loss_rec_all: 0.0499 (0.0525) loss_rec_sfr: 0.0574 (0.0728) loss_cl: -0.3669 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [21:00:37.758509] Epoch: [319] [260/850] eta: 0:08:41 lr: 0.001685 loss: 0.0156 (0.0162) loss_rec_all: 0.0515 (0.0524) loss_rec_sfr: 0.0603 (0.0728) loss_cl: -0.3671 (-0.3673) time: 0.8632 data: 0.0003 max mem: 29859 [21:00:55.055668] Epoch: [319] [280/850] eta: 0:08:23 lr: 0.001685 loss: 0.0143 (0.0161) loss_rec_all: 0.0504 (0.0523) loss_rec_sfr: 0.0578 (0.0727) loss_cl: -0.3675 (-0.3673) time: 0.8648 data: 0.0003 max mem: 29859 [21:01:12.304896] Epoch: [319] [300/850] eta: 0:08:04 lr: 0.001685 loss: 0.0137 (0.0160) loss_rec_all: 0.0501 (0.0522) loss_rec_sfr: 0.0585 (0.0724) loss_cl: -0.3676 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [21:01:29.625164] Epoch: [319] [320/850] eta: 0:07:46 lr: 0.001685 loss: 0.0131 (0.0159) loss_rec_all: 0.0493 (0.0521) loss_rec_sfr: 0.0538 (0.0721) loss_cl: -0.3680 (-0.3674) time: 0.8660 data: 0.0002 max mem: 29859 [21:01:46.879254] Epoch: [319] [340/850] eta: 0:07:28 lr: 0.001685 loss: 0.0147 (0.0158) loss_rec_all: 0.0511 (0.0520) loss_rec_sfr: 0.0705 (0.0720) loss_cl: -0.3677 (-0.3674) time: 0.8627 data: 0.0003 max mem: 29859 [21:02:04.159812] Epoch: [319] [360/850] eta: 0:07:10 lr: 0.001685 loss: 0.0150 (0.0157) loss_rec_all: 0.0510 (0.0520) loss_rec_sfr: 0.0562 (0.0721) loss_cl: -0.3673 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [21:02:21.424989] Epoch: [319] [380/850] eta: 0:06:52 lr: 0.001685 loss: 0.0138 (0.0157) loss_rec_all: 0.0501 (0.0519) loss_rec_sfr: 0.0555 (0.0720) loss_cl: -0.3669 (-0.3673) time: 0.8632 data: 0.0003 max mem: 29859 [21:02:38.743405] Epoch: [319] [400/850] eta: 0:06:34 lr: 0.001684 loss: 0.0145 (0.0157) loss_rec_all: 0.0508 (0.0519) loss_rec_sfr: 0.0777 (0.0722) loss_cl: -0.3670 (-0.3673) time: 0.8659 data: 0.0003 max mem: 29859 [21:02:55.984839] Epoch: [319] [420/850] eta: 0:06:16 lr: 0.001684 loss: 0.0145 (0.0157) loss_rec_all: 0.0507 (0.0519) loss_rec_sfr: 0.0608 (0.0726) loss_cl: -0.3672 (-0.3673) time: 0.8620 data: 0.0003 max mem: 29859 [21:03:13.258781] Epoch: [319] [440/850] eta: 0:05:59 lr: 0.001684 loss: 0.0160 (0.0157) loss_rec_all: 0.0523 (0.0519) loss_rec_sfr: 0.0596 (0.0724) loss_cl: -0.3677 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [21:03:30.534094] Epoch: [319] [460/850] eta: 0:05:41 lr: 0.001684 loss: 0.0157 (0.0157) loss_rec_all: 0.0522 (0.0519) loss_rec_sfr: 0.0542 (0.0720) loss_cl: -0.3679 (-0.3674) time: 0.8637 data: 0.0003 max mem: 29859 [21:03:47.801731] Epoch: [319] [480/850] eta: 0:05:23 lr: 0.001684 loss: 0.0147 (0.0157) loss_rec_all: 0.0511 (0.0519) loss_rec_sfr: 0.0545 (0.0720) loss_cl: -0.3681 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [21:04:05.080448] Epoch: [319] [500/850] eta: 0:05:05 lr: 0.001684 loss: 0.0149 (0.0157) loss_rec_all: 0.0512 (0.0519) loss_rec_sfr: 0.0749 (0.0722) loss_cl: -0.3675 (-0.3674) time: 0.8639 data: 0.0003 max mem: 29859 [21:04:22.366280] Epoch: [319] [520/850] eta: 0:04:48 lr: 0.001684 loss: 0.0165 (0.0157) loss_rec_all: 0.0527 (0.0520) loss_rec_sfr: 0.0703 (0.0721) loss_cl: -0.3670 (-0.3674) time: 0.8642 data: 0.0003 max mem: 29859 [21:04:39.635130] Epoch: [319] [540/850] eta: 0:04:30 lr: 0.001684 loss: 0.0157 (0.0158) loss_rec_all: 0.0520 (0.0520) loss_rec_sfr: 0.0573 (0.0721) loss_cl: -0.3671 (-0.3674) time: 0.8634 data: 0.0003 max mem: 29859 [21:04:56.929203] Epoch: [319] [560/850] eta: 0:04:13 lr: 0.001684 loss: 0.0151 (0.0158) loss_rec_all: 0.0516 (0.0520) loss_rec_sfr: 0.0604 (0.0721) loss_cl: -0.3679 (-0.3674) time: 0.8647 data: 0.0003 max mem: 29859 [21:05:14.183367] Epoch: [319] [580/850] eta: 0:03:55 lr: 0.001683 loss: 0.0148 (0.0158) loss_rec_all: 0.0512 (0.0520) loss_rec_sfr: 0.0576 (0.0720) loss_cl: -0.3680 (-0.3674) time: 0.8627 data: 0.0003 max mem: 29859 [21:05:31.462048] Epoch: [319] [600/850] eta: 0:03:38 lr: 0.001683 loss: 0.0144 (0.0158) loss_rec_all: 0.0506 (0.0520) loss_rec_sfr: 0.0765 (0.0721) loss_cl: -0.3674 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [21:05:48.730052] Epoch: [319] [620/850] eta: 0:03:20 lr: 0.001683 loss: 0.0172 (0.0158) loss_rec_all: 0.0531 (0.0521) loss_rec_sfr: 0.0756 (0.0724) loss_cl: -0.3668 (-0.3674) time: 0.8633 data: 0.0003 max mem: 29859 [21:06:06.073103] Epoch: [319] [640/850] eta: 0:03:03 lr: 0.001683 loss: 0.0160 (0.0159) loss_rec_all: 0.0521 (0.0521) loss_rec_sfr: 0.0773 (0.0726) loss_cl: -0.3671 (-0.3674) time: 0.8671 data: 0.0004 max mem: 29859 [21:06:23.344377] Epoch: [319] [660/850] eta: 0:02:45 lr: 0.001683 loss: 0.0169 (0.0159) loss_rec_all: 0.0529 (0.0521) loss_rec_sfr: 0.0774 (0.0729) loss_cl: -0.3669 (-0.3673) time: 0.8635 data: 0.0003 max mem: 29859 [21:06:40.627827] Epoch: [319] [680/850] eta: 0:02:28 lr: 0.001683 loss: 0.0151 (0.0159) loss_rec_all: 0.0511 (0.0521) loss_rec_sfr: 0.0716 (0.0730) loss_cl: -0.3678 (-0.3674) time: 0.8641 data: 0.0003 max mem: 29859 [21:06:57.894895] Epoch: [319] [700/850] eta: 0:02:10 lr: 0.001683 loss: 0.0151 (0.0159) loss_rec_all: 0.0513 (0.0521) loss_rec_sfr: 0.0758 (0.0732) loss_cl: -0.3679 (-0.3674) time: 0.8633 data: 0.0003 max mem: 29859 [21:07:15.229475] Epoch: [319] [720/850] eta: 0:01:53 lr: 0.001683 loss: 0.0162 (0.0159) loss_rec_all: 0.0523 (0.0521) loss_rec_sfr: 0.0700 (0.0734) loss_cl: -0.3672 (-0.3674) time: 0.8667 data: 0.0002 max mem: 29859 [21:07:32.487181] Epoch: [319] [740/850] eta: 0:01:35 lr: 0.001683 loss: 0.0160 (0.0159) loss_rec_all: 0.0519 (0.0521) loss_rec_sfr: 0.0732 (0.0735) loss_cl: -0.3670 (-0.3674) time: 0.8628 data: 0.0003 max mem: 29859 [21:07:49.829645] Epoch: [319] [760/850] eta: 0:01:18 lr: 0.001683 loss: 0.0143 (0.0158) loss_rec_all: 0.0507 (0.0521) loss_rec_sfr: 0.0594 (0.0735) loss_cl: -0.3675 (-0.3674) time: 0.8671 data: 0.0003 max mem: 29859 [21:08:07.094820] Epoch: [319] [780/850] eta: 0:01:00 lr: 0.001682 loss: 0.0149 (0.0158) loss_rec_all: 0.0512 (0.0521) loss_rec_sfr: 0.0605 (0.0735) loss_cl: -0.3677 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [21:08:24.392938] Epoch: [319] [800/850] eta: 0:00:43 lr: 0.001682 loss: 0.0142 (0.0158) loss_rec_all: 0.0504 (0.0520) loss_rec_sfr: 0.0718 (0.0735) loss_cl: -0.3681 (-0.3674) time: 0.8649 data: 0.0003 max mem: 29859 [21:08:41.641232] Epoch: [319] [820/850] eta: 0:00:26 lr: 0.001682 loss: 0.0146 (0.0158) loss_rec_all: 0.0510 (0.0520) loss_rec_sfr: 0.0577 (0.0734) loss_cl: -0.3679 (-0.3674) time: 0.8624 data: 0.0003 max mem: 29859 [21:08:58.934705] Epoch: [319] [840/850] eta: 0:00:08 lr: 0.001682 loss: 0.0154 (0.0158) loss_rec_all: 0.0515 (0.0520) loss_rec_sfr: 0.0644 (0.0733) loss_cl: -0.3674 (-0.3674) time: 0.8646 data: 0.0005 max mem: 29859 [21:09:06.699259] Epoch: [319] [849/850] eta: 0:00:00 lr: 0.001682 loss: 0.0162 (0.0158) loss_rec_all: 0.0524 (0.0520) loss_rec_sfr: 0.0681 (0.0734) loss_cl: -0.3671 (-0.3674) time: 0.8646 data: 0.0005 max mem: 29859 [21:09:06.859731] Epoch: [319] Total time: 0:12:19 (0.8704 s / it) [21:09:06.861263] Averaged stats: lr: 0.001682 loss: 0.0162 (0.0157) loss_rec_all: 0.0524 (0.0519) loss_rec_sfr: 0.0681 (0.0727) loss_cl: -0.3671 (-0.3673) [21:09:06.867766] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [21:09:12.276586] Epoch: [320] [ 0/850] eta: 1:16:36 lr: 0.001682 loss: 0.0176 (0.0176) loss_rec_all: 0.0535 (0.0535) loss_rec_sfr: 0.1144 (0.1144) loss_cl: -0.3668 (-0.3668) time: 5.4081 data: 4.5556 max mem: 29859 [21:09:29.501301] Epoch: [320] [ 20/850] eta: 0:14:54 lr: 0.001682 loss: 0.0158 (0.0162) loss_rec_all: 0.0521 (0.0523) loss_rec_sfr: 0.0726 (0.0804) loss_cl: -0.3670 (-0.3670) time: 0.8612 data: 0.0003 max mem: 29859 [21:09:46.754516] Epoch: [320] [ 40/850] eta: 0:13:07 lr: 0.001682 loss: 0.0146 (0.0158) loss_rec_all: 0.0511 (0.0520) loss_rec_sfr: 0.0590 (0.0751) loss_cl: -0.3670 (-0.3670) time: 0.8626 data: 0.0002 max mem: 29859 [21:10:03.976837] Epoch: [320] [ 60/850] eta: 0:12:19 lr: 0.001682 loss: 0.0157 (0.0158) loss_rec_all: 0.0517 (0.0520) loss_rec_sfr: 0.0592 (0.0725) loss_cl: -0.3675 (-0.3671) time: 0.8611 data: 0.0002 max mem: 29859 [21:10:21.242266] Epoch: [320] [ 80/850] eta: 0:11:46 lr: 0.001682 loss: 0.0142 (0.0154) loss_rec_all: 0.0506 (0.0516) loss_rec_sfr: 0.0551 (0.0713) loss_cl: -0.3677 (-0.3672) time: 0.8632 data: 0.0003 max mem: 29859 [21:10:38.525044] Epoch: [320] [100/850] eta: 0:11:20 lr: 0.001682 loss: 0.0138 (0.0152) loss_rec_all: 0.0501 (0.0514) loss_rec_sfr: 0.0727 (0.0710) loss_cl: -0.3676 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [21:10:55.830611] Epoch: [320] [120/850] eta: 0:10:57 lr: 0.001681 loss: 0.0141 (0.0151) loss_rec_all: 0.0503 (0.0514) loss_rec_sfr: 0.0688 (0.0709) loss_cl: -0.3676 (-0.3674) time: 0.8652 data: 0.0003 max mem: 29859 [21:11:13.107155] Epoch: [320] [140/850] eta: 0:10:35 lr: 0.001681 loss: 0.0134 (0.0149) loss_rec_all: 0.0496 (0.0512) loss_rec_sfr: 0.0556 (0.0705) loss_cl: -0.3674 (-0.3674) time: 0.8638 data: 0.0003 max mem: 29859 [21:11:30.383541] Epoch: [320] [160/850] eta: 0:10:15 lr: 0.001681 loss: 0.0130 (0.0148) loss_rec_all: 0.0494 (0.0510) loss_rec_sfr: 0.0524 (0.0698) loss_cl: -0.3670 (-0.3673) time: 0.8638 data: 0.0003 max mem: 29859 [21:11:47.654935] Epoch: [320] [180/850] eta: 0:09:55 lr: 0.001681 loss: 0.0124 (0.0146) loss_rec_all: 0.0489 (0.0509) loss_rec_sfr: 0.0532 (0.0698) loss_cl: -0.3671 (-0.3673) time: 0.8635 data: 0.0003 max mem: 29859 [21:12:04.972769] Epoch: [320] [200/850] eta: 0:09:35 lr: 0.001681 loss: 0.0137 (0.0146) loss_rec_all: 0.0501 (0.0508) loss_rec_sfr: 0.0522 (0.0698) loss_cl: -0.3672 (-0.3673) time: 0.8658 data: 0.0003 max mem: 29859 [21:12:22.255416] Epoch: [320] [220/850] eta: 0:09:16 lr: 0.001681 loss: 0.0159 (0.0147) loss_rec_all: 0.0521 (0.0510) loss_rec_sfr: 0.0551 (0.0697) loss_cl: -0.3674 (-0.3673) time: 0.8641 data: 0.0003 max mem: 29859 [21:12:39.553086] Epoch: [320] [240/850] eta: 0:08:58 lr: 0.001681 loss: 0.0168 (0.0150) loss_rec_all: 0.0532 (0.0512) loss_rec_sfr: 0.0731 (0.0700) loss_cl: -0.3677 (-0.3673) time: 0.8648 data: 0.0003 max mem: 29859 [21:12:56.810952] Epoch: [320] [260/850] eta: 0:08:39 lr: 0.001681 loss: 0.0162 (0.0150) loss_rec_all: 0.0524 (0.0513) loss_rec_sfr: 0.0601 (0.0703) loss_cl: -0.3672 (-0.3673) time: 0.8628 data: 0.0003 max mem: 29859 [21:13:14.132230] Epoch: [320] [280/850] eta: 0:08:21 lr: 0.001681 loss: 0.0193 (0.0153) loss_rec_all: 0.0554 (0.0516) loss_rec_sfr: 0.0785 (0.0709) loss_cl: -0.3673 (-0.3673) time: 0.8660 data: 0.0003 max mem: 29859 [21:13:31.386106] Epoch: [320] [300/850] eta: 0:08:03 lr: 0.001680 loss: 0.0168 (0.0155) loss_rec_all: 0.0529 (0.0517) loss_rec_sfr: 0.0554 (0.0710) loss_cl: -0.3669 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [21:13:48.670312] Epoch: [320] [320/850] eta: 0:07:45 lr: 0.001680 loss: 0.0177 (0.0156) loss_rec_all: 0.0538 (0.0519) loss_rec_sfr: 0.0800 (0.0713) loss_cl: -0.3668 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [21:14:05.935564] Epoch: [320] [340/850] eta: 0:07:27 lr: 0.001680 loss: 0.0165 (0.0157) loss_rec_all: 0.0526 (0.0520) loss_rec_sfr: 0.0645 (0.0714) loss_cl: -0.3669 (-0.3672) time: 0.8632 data: 0.0002 max mem: 29859 [21:14:23.234269] Epoch: [320] [360/850] eta: 0:07:09 lr: 0.001680 loss: 0.0168 (0.0159) loss_rec_all: 0.0528 (0.0521) loss_rec_sfr: 0.0778 (0.0718) loss_cl: -0.3673 (-0.3672) time: 0.8649 data: 0.0003 max mem: 29859 [21:14:40.478495] Epoch: [320] [380/850] eta: 0:06:51 lr: 0.001680 loss: 0.0144 (0.0158) loss_rec_all: 0.0507 (0.0520) loss_rec_sfr: 0.0554 (0.0716) loss_cl: -0.3676 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [21:14:57.823515] Epoch: [320] [400/850] eta: 0:06:33 lr: 0.001680 loss: 0.0153 (0.0158) loss_rec_all: 0.0515 (0.0520) loss_rec_sfr: 0.0770 (0.0718) loss_cl: -0.3681 (-0.3673) time: 0.8672 data: 0.0003 max mem: 29859 [21:15:15.068112] Epoch: [320] [420/850] eta: 0:06:16 lr: 0.001680 loss: 0.0138 (0.0157) loss_rec_all: 0.0501 (0.0520) loss_rec_sfr: 0.0551 (0.0717) loss_cl: -0.3677 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [21:15:32.383088] Epoch: [320] [440/850] eta: 0:05:58 lr: 0.001680 loss: 0.0148 (0.0157) loss_rec_all: 0.0511 (0.0520) loss_rec_sfr: 0.0562 (0.0715) loss_cl: -0.3674 (-0.3673) time: 0.8657 data: 0.0003 max mem: 29859 [21:15:49.661584] Epoch: [320] [460/850] eta: 0:05:40 lr: 0.001680 loss: 0.0143 (0.0157) loss_rec_all: 0.0505 (0.0519) loss_rec_sfr: 0.0572 (0.0714) loss_cl: -0.3675 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [21:16:06.975712] Epoch: [320] [480/850] eta: 0:05:23 lr: 0.001679 loss: 0.0160 (0.0157) loss_rec_all: 0.0520 (0.0519) loss_rec_sfr: 0.0761 (0.0716) loss_cl: -0.3669 (-0.3673) time: 0.8656 data: 0.0002 max mem: 29859 [21:16:24.273826] Epoch: [320] [500/850] eta: 0:05:05 lr: 0.001679 loss: 0.0147 (0.0157) loss_rec_all: 0.0507 (0.0519) loss_rec_sfr: 0.0711 (0.0717) loss_cl: -0.3665 (-0.3673) time: 0.8648 data: 0.0003 max mem: 29859 [21:16:41.593738] Epoch: [320] [520/850] eta: 0:04:48 lr: 0.001679 loss: 0.0142 (0.0157) loss_rec_all: 0.0505 (0.0519) loss_rec_sfr: 0.0719 (0.0717) loss_cl: -0.3667 (-0.3672) time: 0.8659 data: 0.0003 max mem: 29859 [21:16:58.853089] Epoch: [320] [540/850] eta: 0:04:30 lr: 0.001679 loss: 0.0154 (0.0156) loss_rec_all: 0.0516 (0.0519) loss_rec_sfr: 0.0822 (0.0720) loss_cl: -0.3675 (-0.3672) time: 0.8629 data: 0.0003 max mem: 29859 [21:17:16.128606] Epoch: [320] [560/850] eta: 0:04:12 lr: 0.001679 loss: 0.0136 (0.0156) loss_rec_all: 0.0500 (0.0518) loss_rec_sfr: 0.0500 (0.0717) loss_cl: -0.3676 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [21:17:33.368565] Epoch: [320] [580/850] eta: 0:03:55 lr: 0.001679 loss: 0.0143 (0.0156) loss_rec_all: 0.0506 (0.0518) loss_rec_sfr: 0.0552 (0.0718) loss_cl: -0.3672 (-0.3673) time: 0.8619 data: 0.0003 max mem: 29859 [21:17:50.647150] Epoch: [320] [600/850] eta: 0:03:37 lr: 0.001679 loss: 0.0134 (0.0155) loss_rec_all: 0.0498 (0.0518) loss_rec_sfr: 0.0717 (0.0717) loss_cl: -0.3680 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [21:18:07.911040] Epoch: [320] [620/850] eta: 0:03:20 lr: 0.001679 loss: 0.0142 (0.0155) loss_rec_all: 0.0506 (0.0517) loss_rec_sfr: 0.0529 (0.0717) loss_cl: -0.3676 (-0.3673) time: 0.8631 data: 0.0003 max mem: 29859 [21:18:25.198232] Epoch: [320] [640/850] eta: 0:03:02 lr: 0.001679 loss: 0.0161 (0.0155) loss_rec_all: 0.0522 (0.0518) loss_rec_sfr: 0.0775 (0.0721) loss_cl: -0.3673 (-0.3673) time: 0.8643 data: 0.0004 max mem: 29859 [21:18:42.453793] Epoch: [320] [660/850] eta: 0:02:45 lr: 0.001679 loss: 0.0162 (0.0156) loss_rec_all: 0.0524 (0.0518) loss_rec_sfr: 0.0674 (0.0721) loss_cl: -0.3672 (-0.3673) time: 0.8627 data: 0.0004 max mem: 29859 [21:18:59.739131] Epoch: [320] [680/850] eta: 0:02:27 lr: 0.001678 loss: 0.0145 (0.0156) loss_rec_all: 0.0506 (0.0518) loss_rec_sfr: 0.0574 (0.0720) loss_cl: -0.3673 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [21:19:16.974315] Epoch: [320] [700/850] eta: 0:02:10 lr: 0.001678 loss: 0.0160 (0.0156) loss_rec_all: 0.0523 (0.0518) loss_rec_sfr: 0.0757 (0.0722) loss_cl: -0.3665 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [21:19:34.270066] Epoch: [320] [720/850] eta: 0:01:53 lr: 0.001678 loss: 0.0146 (0.0156) loss_rec_all: 0.0509 (0.0518) loss_rec_sfr: 0.0601 (0.0722) loss_cl: -0.3668 (-0.3673) time: 0.8647 data: 0.0003 max mem: 29859 [21:19:51.508878] Epoch: [320] [740/850] eta: 0:01:35 lr: 0.001678 loss: 0.0138 (0.0155) loss_rec_all: 0.0501 (0.0518) loss_rec_sfr: 0.0500 (0.0719) loss_cl: -0.3671 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [21:20:08.800731] Epoch: [320] [760/850] eta: 0:01:18 lr: 0.001678 loss: 0.0143 (0.0155) loss_rec_all: 0.0505 (0.0517) loss_rec_sfr: 0.0714 (0.0719) loss_cl: -0.3673 (-0.3672) time: 0.8645 data: 0.0003 max mem: 29859 [21:20:26.034859] Epoch: [320] [780/850] eta: 0:01:00 lr: 0.001678 loss: 0.0151 (0.0155) loss_rec_all: 0.0513 (0.0517) loss_rec_sfr: 0.0759 (0.0721) loss_cl: -0.3682 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [21:20:43.318286] Epoch: [320] [800/850] eta: 0:00:43 lr: 0.001678 loss: 0.0140 (0.0155) loss_rec_all: 0.0505 (0.0517) loss_rec_sfr: 0.0501 (0.0720) loss_cl: -0.3678 (-0.3673) time: 0.8641 data: 0.0003 max mem: 29859 [21:21:00.577266] Epoch: [320] [820/850] eta: 0:00:26 lr: 0.001678 loss: 0.0150 (0.0155) loss_rec_all: 0.0510 (0.0517) loss_rec_sfr: 0.0701 (0.0719) loss_cl: -0.3678 (-0.3673) time: 0.8629 data: 0.0003 max mem: 29859 [21:21:17.849405] Epoch: [320] [840/850] eta: 0:00:08 lr: 0.001678 loss: 0.0150 (0.0155) loss_rec_all: 0.0512 (0.0517) loss_rec_sfr: 0.0542 (0.0718) loss_cl: -0.3671 (-0.3673) time: 0.8636 data: 0.0005 max mem: 29859 [21:21:25.607861] Epoch: [320] [849/850] eta: 0:00:00 lr: 0.001677 loss: 0.0149 (0.0155) loss_rec_all: 0.0511 (0.0517) loss_rec_sfr: 0.0540 (0.0718) loss_cl: -0.3671 (-0.3673) time: 0.8634 data: 0.0004 max mem: 29859 [21:21:25.761791] Epoch: [320] Total time: 0:12:18 (0.8693 s / it) [21:21:25.764308] Averaged stats: lr: 0.001677 loss: 0.0149 (0.0155) loss_rec_all: 0.0511 (0.0517) loss_rec_sfr: 0.0540 (0.0724) loss_cl: -0.3671 (-0.3673) [21:21:25.796269] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [21:21:32.643185] Epoch: [321] [ 0/850] eta: 1:36:57 lr: 0.001677 loss: 0.0169 (0.0169) loss_rec_all: 0.0531 (0.0531) loss_rec_sfr: 0.0720 (0.0720) loss_cl: -0.3669 (-0.3669) time: 6.8443 data: 4.7953 max mem: 29859 [21:21:49.831090] Epoch: [321] [ 20/850] eta: 0:15:49 lr: 0.001677 loss: 0.0151 (0.0155) loss_rec_all: 0.0512 (0.0516) loss_rec_sfr: 0.0742 (0.0800) loss_cl: -0.3668 (-0.3667) time: 0.8593 data: 0.0003 max mem: 29859 [21:22:07.067208] Epoch: [321] [ 40/850] eta: 0:13:35 lr: 0.001677 loss: 0.0139 (0.0149) loss_rec_all: 0.0502 (0.0511) loss_rec_sfr: 0.0554 (0.0756) loss_cl: -0.3672 (-0.3669) time: 0.8617 data: 0.0003 max mem: 29859 [21:22:24.315989] Epoch: [321] [ 60/850] eta: 0:12:37 lr: 0.001677 loss: 0.0141 (0.0148) loss_rec_all: 0.0503 (0.0510) loss_rec_sfr: 0.0680 (0.0727) loss_cl: -0.3674 (-0.3671) time: 0.8624 data: 0.0003 max mem: 29859 [21:22:41.576509] Epoch: [321] [ 80/850] eta: 0:12:00 lr: 0.001677 loss: 0.0159 (0.0151) loss_rec_all: 0.0522 (0.0513) loss_rec_sfr: 0.0622 (0.0742) loss_cl: -0.3672 (-0.3671) time: 0.8630 data: 0.0003 max mem: 29859 [21:22:58.797438] Epoch: [321] [100/850] eta: 0:11:30 lr: 0.001677 loss: 0.0151 (0.0152) loss_rec_all: 0.0512 (0.0513) loss_rec_sfr: 0.0773 (0.0756) loss_cl: -0.3672 (-0.3671) time: 0.8610 data: 0.0002 max mem: 29859 [21:23:16.069678] Epoch: [321] [120/850] eta: 0:11:05 lr: 0.001677 loss: 0.0146 (0.0152) loss_rec_all: 0.0509 (0.0513) loss_rec_sfr: 0.0582 (0.0744) loss_cl: -0.3671 (-0.3671) time: 0.8636 data: 0.0003 max mem: 29859 [21:23:33.304239] Epoch: [321] [140/850] eta: 0:10:42 lr: 0.001677 loss: 0.0152 (0.0153) loss_rec_all: 0.0516 (0.0515) loss_rec_sfr: 0.0737 (0.0746) loss_cl: -0.3673 (-0.3671) time: 0.8617 data: 0.0003 max mem: 29859 [21:23:50.570366] Epoch: [321] [160/850] eta: 0:10:20 lr: 0.001677 loss: 0.0161 (0.0154) loss_rec_all: 0.0523 (0.0516) loss_rec_sfr: 0.0765 (0.0747) loss_cl: -0.3675 (-0.3672) time: 0.8633 data: 0.0003 max mem: 29859 [21:24:07.814549] Epoch: [321] [180/850] eta: 0:09:59 lr: 0.001677 loss: 0.0146 (0.0153) loss_rec_all: 0.0508 (0.0515) loss_rec_sfr: 0.0593 (0.0743) loss_cl: -0.3676 (-0.3672) time: 0.8622 data: 0.0003 max mem: 29859 [21:24:25.074238] Epoch: [321] [200/850] eta: 0:09:39 lr: 0.001676 loss: 0.0145 (0.0154) loss_rec_all: 0.0509 (0.0516) loss_rec_sfr: 0.0619 (0.0739) loss_cl: -0.3680 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [21:24:42.323658] Epoch: [321] [220/850] eta: 0:09:20 lr: 0.001676 loss: 0.0148 (0.0153) loss_rec_all: 0.0509 (0.0516) loss_rec_sfr: 0.0723 (0.0743) loss_cl: -0.3682 (-0.3674) time: 0.8624 data: 0.0003 max mem: 29859 [21:24:59.586980] Epoch: [321] [240/850] eta: 0:09:01 lr: 0.001676 loss: 0.0148 (0.0154) loss_rec_all: 0.0509 (0.0516) loss_rec_sfr: 0.0616 (0.0739) loss_cl: -0.3672 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [21:25:16.834622] Epoch: [321] [260/850] eta: 0:08:42 lr: 0.001676 loss: 0.0158 (0.0154) loss_rec_all: 0.0518 (0.0516) loss_rec_sfr: 0.0731 (0.0740) loss_cl: -0.3665 (-0.3673) time: 0.8623 data: 0.0003 max mem: 29859 [21:25:34.111278] Epoch: [321] [280/850] eta: 0:08:23 lr: 0.001676 loss: 0.0128 (0.0153) loss_rec_all: 0.0491 (0.0515) loss_rec_sfr: 0.0566 (0.0737) loss_cl: -0.3669 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [21:25:51.425126] Epoch: [321] [300/850] eta: 0:08:05 lr: 0.001676 loss: 0.0144 (0.0153) loss_rec_all: 0.0506 (0.0515) loss_rec_sfr: 0.0548 (0.0735) loss_cl: -0.3673 (-0.3673) time: 0.8656 data: 0.0003 max mem: 29859 [21:26:08.732902] Epoch: [321] [320/850] eta: 0:07:47 lr: 0.001676 loss: 0.0156 (0.0153) loss_rec_all: 0.0516 (0.0515) loss_rec_sfr: 0.0890 (0.0741) loss_cl: -0.3678 (-0.3673) time: 0.8653 data: 0.0003 max mem: 29859 [21:26:26.016748] Epoch: [321] [340/850] eta: 0:07:28 lr: 0.001676 loss: 0.0147 (0.0153) loss_rec_all: 0.0508 (0.0515) loss_rec_sfr: 0.0721 (0.0739) loss_cl: -0.3675 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [21:26:43.321053] Epoch: [321] [360/850] eta: 0:07:10 lr: 0.001676 loss: 0.0158 (0.0154) loss_rec_all: 0.0518 (0.0516) loss_rec_sfr: 0.0831 (0.0743) loss_cl: -0.3677 (-0.3673) time: 0.8652 data: 0.0003 max mem: 29859 [21:27:00.602026] Epoch: [321] [380/850] eta: 0:06:52 lr: 0.001675 loss: 0.0151 (0.0154) loss_rec_all: 0.0514 (0.0516) loss_rec_sfr: 0.0745 (0.0745) loss_cl: -0.3677 (-0.3674) time: 0.8640 data: 0.0003 max mem: 29859 [21:27:17.914286] Epoch: [321] [400/850] eta: 0:06:35 lr: 0.001675 loss: 0.0158 (0.0154) loss_rec_all: 0.0517 (0.0516) loss_rec_sfr: 0.0781 (0.0749) loss_cl: -0.3675 (-0.3674) time: 0.8656 data: 0.0002 max mem: 29859 [21:27:35.179447] Epoch: [321] [420/850] eta: 0:06:17 lr: 0.001675 loss: 0.0145 (0.0154) loss_rec_all: 0.0509 (0.0516) loss_rec_sfr: 0.0558 (0.0743) loss_cl: -0.3672 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [21:27:52.493546] Epoch: [321] [440/850] eta: 0:05:59 lr: 0.001675 loss: 0.0151 (0.0154) loss_rec_all: 0.0511 (0.0516) loss_rec_sfr: 0.0576 (0.0743) loss_cl: -0.3668 (-0.3673) time: 0.8656 data: 0.0003 max mem: 29859 [21:28:09.761530] Epoch: [321] [460/850] eta: 0:05:41 lr: 0.001675 loss: 0.0159 (0.0154) loss_rec_all: 0.0519 (0.0516) loss_rec_sfr: 0.0834 (0.0748) loss_cl: -0.3672 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [21:28:27.055520] Epoch: [321] [480/850] eta: 0:05:24 lr: 0.001675 loss: 0.0157 (0.0154) loss_rec_all: 0.0518 (0.0517) loss_rec_sfr: 0.0757 (0.0748) loss_cl: -0.3673 (-0.3673) time: 0.8646 data: 0.0003 max mem: 29859 [21:28:44.321015] Epoch: [321] [500/850] eta: 0:05:06 lr: 0.001675 loss: 0.0159 (0.0155) loss_rec_all: 0.0518 (0.0517) loss_rec_sfr: 0.0751 (0.0749) loss_cl: -0.3673 (-0.3673) time: 0.8632 data: 0.0003 max mem: 29859 [21:29:01.606912] Epoch: [321] [520/850] eta: 0:04:48 lr: 0.001675 loss: 0.0150 (0.0155) loss_rec_all: 0.0510 (0.0517) loss_rec_sfr: 0.0874 (0.0753) loss_cl: -0.3680 (-0.3673) time: 0.8642 data: 0.0003 max mem: 29859 [21:29:18.847907] Epoch: [321] [540/850] eta: 0:04:31 lr: 0.001675 loss: 0.0149 (0.0155) loss_rec_all: 0.0513 (0.0517) loss_rec_sfr: 0.0720 (0.0755) loss_cl: -0.3678 (-0.3674) time: 0.8620 data: 0.0003 max mem: 29859 [21:29:36.119404] Epoch: [321] [560/850] eta: 0:04:13 lr: 0.001674 loss: 0.0151 (0.0155) loss_rec_all: 0.0512 (0.0517) loss_rec_sfr: 0.0561 (0.0755) loss_cl: -0.3675 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [21:29:53.369082] Epoch: [321] [580/850] eta: 0:03:55 lr: 0.001674 loss: 0.0138 (0.0155) loss_rec_all: 0.0501 (0.0517) loss_rec_sfr: 0.0571 (0.0754) loss_cl: -0.3668 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [21:30:10.674194] Epoch: [321] [600/850] eta: 0:03:38 lr: 0.001674 loss: 0.0153 (0.0155) loss_rec_all: 0.0513 (0.0517) loss_rec_sfr: 0.0737 (0.0754) loss_cl: -0.3668 (-0.3673) time: 0.8652 data: 0.0003 max mem: 29859 [21:30:27.939790] Epoch: [321] [620/850] eta: 0:03:20 lr: 0.001674 loss: 0.0150 (0.0155) loss_rec_all: 0.0513 (0.0517) loss_rec_sfr: 0.0558 (0.0753) loss_cl: -0.3672 (-0.3673) time: 0.8632 data: 0.0003 max mem: 29859 [21:30:45.265331] Epoch: [321] [640/850] eta: 0:03:03 lr: 0.001674 loss: 0.0146 (0.0155) loss_rec_all: 0.0510 (0.0517) loss_rec_sfr: 0.0565 (0.0752) loss_cl: -0.3674 (-0.3673) time: 0.8662 data: 0.0003 max mem: 29859 [21:31:02.505289] Epoch: [321] [660/850] eta: 0:02:45 lr: 0.001674 loss: 0.0151 (0.0155) loss_rec_all: 0.0514 (0.0517) loss_rec_sfr: 0.0689 (0.0752) loss_cl: -0.3682 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [21:31:19.784344] Epoch: [321] [680/850] eta: 0:02:28 lr: 0.001674 loss: 0.0147 (0.0155) loss_rec_all: 0.0510 (0.0517) loss_rec_sfr: 0.0730 (0.0752) loss_cl: -0.3675 (-0.3674) time: 0.8639 data: 0.0003 max mem: 29859 [21:31:37.013410] Epoch: [321] [700/850] eta: 0:02:10 lr: 0.001674 loss: 0.0152 (0.0155) loss_rec_all: 0.0513 (0.0517) loss_rec_sfr: 0.0584 (0.0751) loss_cl: -0.3672 (-0.3674) time: 0.8614 data: 0.0003 max mem: 29859 [21:31:54.302478] Epoch: [321] [720/850] eta: 0:01:53 lr: 0.001674 loss: 0.0145 (0.0155) loss_rec_all: 0.0508 (0.0517) loss_rec_sfr: 0.0524 (0.0747) loss_cl: -0.3672 (-0.3673) time: 0.8644 data: 0.0003 max mem: 29859 [21:32:11.547494] Epoch: [321] [740/850] eta: 0:01:35 lr: 0.001674 loss: 0.0149 (0.0155) loss_rec_all: 0.0512 (0.0517) loss_rec_sfr: 0.0721 (0.0746) loss_cl: -0.3669 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [21:32:28.907517] Epoch: [321] [760/850] eta: 0:01:18 lr: 0.001673 loss: 0.0139 (0.0155) loss_rec_all: 0.0503 (0.0517) loss_rec_sfr: 0.0512 (0.0745) loss_cl: -0.3678 (-0.3673) time: 0.8680 data: 0.0002 max mem: 29859 [21:32:46.170941] Epoch: [321] [780/850] eta: 0:01:00 lr: 0.001673 loss: 0.0138 (0.0154) loss_rec_all: 0.0502 (0.0516) loss_rec_sfr: 0.0519 (0.0742) loss_cl: -0.3679 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [21:33:03.456497] Epoch: [321] [800/850] eta: 0:00:43 lr: 0.001673 loss: 0.0137 (0.0154) loss_rec_all: 0.0502 (0.0516) loss_rec_sfr: 0.0535 (0.0741) loss_cl: -0.3678 (-0.3674) time: 0.8642 data: 0.0002 max mem: 29859 [21:33:20.685676] Epoch: [321] [820/850] eta: 0:00:26 lr: 0.001673 loss: 0.0149 (0.0154) loss_rec_all: 0.0510 (0.0516) loss_rec_sfr: 0.0760 (0.0742) loss_cl: -0.3671 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [21:33:37.966815] Epoch: [321] [840/850] eta: 0:00:08 lr: 0.001673 loss: 0.0151 (0.0154) loss_rec_all: 0.0514 (0.0516) loss_rec_sfr: 0.0728 (0.0741) loss_cl: -0.3671 (-0.3673) time: 0.8640 data: 0.0005 max mem: 29859 [21:33:45.723578] Epoch: [321] [849/850] eta: 0:00:00 lr: 0.001673 loss: 0.0151 (0.0154) loss_rec_all: 0.0514 (0.0516) loss_rec_sfr: 0.0733 (0.0741) loss_cl: -0.3673 (-0.3673) time: 0.8642 data: 0.0005 max mem: 29859 [21:33:45.885971] Epoch: [321] Total time: 0:12:20 (0.8707 s / it) [21:33:45.888455] Averaged stats: lr: 0.001673 loss: 0.0151 (0.0155) loss_rec_all: 0.0514 (0.0517) loss_rec_sfr: 0.0733 (0.0737) loss_cl: -0.3673 (-0.3673) [21:33:45.901261] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [21:33:51.336822] Epoch: [322] [ 0/850] eta: 1:16:59 lr: 0.001673 loss: 0.0140 (0.0140) loss_rec_all: 0.0503 (0.0503) loss_rec_sfr: 0.0473 (0.0473) loss_cl: -0.3670 (-0.3670) time: 5.4347 data: 4.5817 max mem: 29859 [21:34:08.550519] Epoch: [322] [ 20/850] eta: 0:14:55 lr: 0.001673 loss: 0.0149 (0.0155) loss_rec_all: 0.0508 (0.0517) loss_rec_sfr: 0.0752 (0.0762) loss_cl: -0.3667 (-0.3669) time: 0.8606 data: 0.0004 max mem: 29859 [21:34:25.826027] Epoch: [322] [ 40/850] eta: 0:13:08 lr: 0.001673 loss: 0.0152 (0.0154) loss_rec_all: 0.0512 (0.0516) loss_rec_sfr: 0.0606 (0.0751) loss_cl: -0.3670 (-0.3670) time: 0.8637 data: 0.0003 max mem: 29859 [21:34:43.041271] Epoch: [322] [ 60/850] eta: 0:12:19 lr: 0.001673 loss: 0.0142 (0.0151) loss_rec_all: 0.0505 (0.0513) loss_rec_sfr: 0.0732 (0.0759) loss_cl: -0.3678 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [21:35:00.317769] Epoch: [322] [ 80/850] eta: 0:11:47 lr: 0.001673 loss: 0.0143 (0.0152) loss_rec_all: 0.0506 (0.0515) loss_rec_sfr: 0.0728 (0.0752) loss_cl: -0.3684 (-0.3675) time: 0.8638 data: 0.0007 max mem: 29859 [21:35:17.573055] Epoch: [322] [100/850] eta: 0:11:20 lr: 0.001672 loss: 0.0145 (0.0152) loss_rec_all: 0.0506 (0.0514) loss_rec_sfr: 0.0735 (0.0750) loss_cl: -0.3677 (-0.3675) time: 0.8627 data: 0.0003 max mem: 29859 [21:35:34.869593] Epoch: [322] [120/850] eta: 0:10:57 lr: 0.001672 loss: 0.0144 (0.0151) loss_rec_all: 0.0505 (0.0513) loss_rec_sfr: 0.0718 (0.0753) loss_cl: -0.3670 (-0.3674) time: 0.8647 data: 0.0002 max mem: 29859 [21:35:52.129098] Epoch: [322] [140/850] eta: 0:10:35 lr: 0.001672 loss: 0.0134 (0.0150) loss_rec_all: 0.0495 (0.0512) loss_rec_sfr: 0.0536 (0.0741) loss_cl: -0.3666 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [21:36:09.421722] Epoch: [322] [160/850] eta: 0:10:15 lr: 0.001672 loss: 0.0152 (0.0150) loss_rec_all: 0.0512 (0.0512) loss_rec_sfr: 0.0825 (0.0748) loss_cl: -0.3663 (-0.3671) time: 0.8646 data: 0.0003 max mem: 29859 [21:36:26.683317] Epoch: [322] [180/850] eta: 0:09:55 lr: 0.001672 loss: 0.0149 (0.0150) loss_rec_all: 0.0509 (0.0512) loss_rec_sfr: 0.0701 (0.0744) loss_cl: -0.3669 (-0.3671) time: 0.8630 data: 0.0002 max mem: 29859 [21:36:43.965009] Epoch: [322] [200/850] eta: 0:09:35 lr: 0.001672 loss: 0.0142 (0.0150) loss_rec_all: 0.0506 (0.0511) loss_rec_sfr: 0.0725 (0.0743) loss_cl: -0.3678 (-0.3671) time: 0.8640 data: 0.0002 max mem: 29859 [21:37:01.221036] Epoch: [322] [220/850] eta: 0:09:16 lr: 0.001672 loss: 0.0141 (0.0149) loss_rec_all: 0.0506 (0.0511) loss_rec_sfr: 0.0541 (0.0738) loss_cl: -0.3680 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [21:37:18.520998] Epoch: [322] [240/850] eta: 0:08:58 lr: 0.001672 loss: 0.0138 (0.0149) loss_rec_all: 0.0503 (0.0511) loss_rec_sfr: 0.0730 (0.0739) loss_cl: -0.3682 (-0.3673) time: 0.8649 data: 0.0003 max mem: 29859 [21:37:35.756353] Epoch: [322] [260/850] eta: 0:08:39 lr: 0.001672 loss: 0.0143 (0.0149) loss_rec_all: 0.0504 (0.0512) loss_rec_sfr: 0.0743 (0.0741) loss_cl: -0.3680 (-0.3674) time: 0.8617 data: 0.0003 max mem: 29859 [21:37:53.050654] Epoch: [322] [280/850] eta: 0:08:21 lr: 0.001671 loss: 0.0147 (0.0149) loss_rec_all: 0.0508 (0.0511) loss_rec_sfr: 0.0560 (0.0738) loss_cl: -0.3676 (-0.3674) time: 0.8646 data: 0.0003 max mem: 29859 [21:38:10.320771] Epoch: [322] [300/850] eta: 0:08:03 lr: 0.001671 loss: 0.0148 (0.0149) loss_rec_all: 0.0510 (0.0511) loss_rec_sfr: 0.0682 (0.0741) loss_cl: -0.3677 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [21:38:27.602822] Epoch: [322] [320/850] eta: 0:07:45 lr: 0.001671 loss: 0.0141 (0.0149) loss_rec_all: 0.0504 (0.0511) loss_rec_sfr: 0.0529 (0.0734) loss_cl: -0.3676 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [21:38:44.886410] Epoch: [322] [340/850] eta: 0:07:27 lr: 0.001671 loss: 0.0159 (0.0150) loss_rec_all: 0.0519 (0.0512) loss_rec_sfr: 0.0628 (0.0736) loss_cl: -0.3676 (-0.3674) time: 0.8641 data: 0.0003 max mem: 29859 [21:39:02.182433] Epoch: [322] [360/850] eta: 0:07:09 lr: 0.001671 loss: 0.0153 (0.0150) loss_rec_all: 0.0516 (0.0513) loss_rec_sfr: 0.0575 (0.0735) loss_cl: -0.3673 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [21:39:19.450287] Epoch: [322] [380/850] eta: 0:06:51 lr: 0.001671 loss: 0.0166 (0.0151) loss_rec_all: 0.0527 (0.0514) loss_rec_sfr: 0.0745 (0.0736) loss_cl: -0.3670 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [21:39:36.750900] Epoch: [322] [400/850] eta: 0:06:33 lr: 0.001671 loss: 0.0161 (0.0152) loss_rec_all: 0.0521 (0.0515) loss_rec_sfr: 0.0554 (0.0733) loss_cl: -0.3671 (-0.3674) time: 0.8650 data: 0.0003 max mem: 29859 [21:39:54.008086] Epoch: [322] [420/850] eta: 0:06:15 lr: 0.001671 loss: 0.0165 (0.0153) loss_rec_all: 0.0526 (0.0515) loss_rec_sfr: 0.0771 (0.0734) loss_cl: -0.3674 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [21:40:11.292548] Epoch: [322] [440/850] eta: 0:05:58 lr: 0.001671 loss: 0.0150 (0.0153) loss_rec_all: 0.0514 (0.0515) loss_rec_sfr: 0.0581 (0.0729) loss_cl: -0.3676 (-0.3674) time: 0.8642 data: 0.0002 max mem: 29859 [21:40:28.534839] Epoch: [322] [460/850] eta: 0:05:40 lr: 0.001670 loss: 0.0153 (0.0153) loss_rec_all: 0.0514 (0.0515) loss_rec_sfr: 0.0743 (0.0732) loss_cl: -0.3674 (-0.3674) time: 0.8621 data: 0.0003 max mem: 29859 [21:40:45.811840] Epoch: [322] [480/850] eta: 0:05:22 lr: 0.001670 loss: 0.0145 (0.0153) loss_rec_all: 0.0509 (0.0515) loss_rec_sfr: 0.0510 (0.0731) loss_cl: -0.3671 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [21:41:03.072402] Epoch: [322] [500/850] eta: 0:05:05 lr: 0.001670 loss: 0.0150 (0.0154) loss_rec_all: 0.0512 (0.0516) loss_rec_sfr: 0.0619 (0.0732) loss_cl: -0.3666 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [21:41:20.370117] Epoch: [322] [520/850] eta: 0:04:47 lr: 0.001670 loss: 0.0161 (0.0154) loss_rec_all: 0.0521 (0.0516) loss_rec_sfr: 0.0626 (0.0732) loss_cl: -0.3670 (-0.3673) time: 0.8648 data: 0.0003 max mem: 29859 [21:41:37.675353] Epoch: [322] [540/850] eta: 0:04:30 lr: 0.001670 loss: 0.0145 (0.0153) loss_rec_all: 0.0507 (0.0516) loss_rec_sfr: 0.0536 (0.0730) loss_cl: -0.3671 (-0.3673) time: 0.8652 data: 0.0004 max mem: 29859 [21:41:55.011248] Epoch: [322] [560/850] eta: 0:04:12 lr: 0.001670 loss: 0.0149 (0.0153) loss_rec_all: 0.0512 (0.0516) loss_rec_sfr: 0.0719 (0.0730) loss_cl: -0.3680 (-0.3673) time: 0.8667 data: 0.0003 max mem: 29859 [21:42:12.274973] Epoch: [322] [580/850] eta: 0:03:55 lr: 0.001670 loss: 0.0151 (0.0153) loss_rec_all: 0.0512 (0.0515) loss_rec_sfr: 0.0612 (0.0729) loss_cl: -0.3677 (-0.3673) time: 0.8631 data: 0.0003 max mem: 29859 [21:42:29.554986] Epoch: [322] [600/850] eta: 0:03:37 lr: 0.001670 loss: 0.0160 (0.0154) loss_rec_all: 0.0521 (0.0516) loss_rec_sfr: 0.0783 (0.0730) loss_cl: -0.3676 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [21:42:46.837977] Epoch: [322] [620/850] eta: 0:03:20 lr: 0.001670 loss: 0.0143 (0.0153) loss_rec_all: 0.0507 (0.0516) loss_rec_sfr: 0.0555 (0.0728) loss_cl: -0.3675 (-0.3674) time: 0.8641 data: 0.0004 max mem: 29859 [21:43:04.142052] Epoch: [322] [640/850] eta: 0:03:02 lr: 0.001669 loss: 0.0147 (0.0154) loss_rec_all: 0.0511 (0.0516) loss_rec_sfr: 0.0771 (0.0731) loss_cl: -0.3675 (-0.3674) time: 0.8652 data: 0.0004 max mem: 29859 [21:43:21.377271] Epoch: [322] [660/850] eta: 0:02:45 lr: 0.001669 loss: 0.0145 (0.0154) loss_rec_all: 0.0509 (0.0516) loss_rec_sfr: 0.0528 (0.0729) loss_cl: -0.3678 (-0.3674) time: 0.8617 data: 0.0003 max mem: 29859 [21:43:38.663584] Epoch: [322] [680/850] eta: 0:02:27 lr: 0.001669 loss: 0.0144 (0.0153) loss_rec_all: 0.0506 (0.0516) loss_rec_sfr: 0.0546 (0.0727) loss_cl: -0.3681 (-0.3674) time: 0.8642 data: 0.0002 max mem: 29859 [21:43:55.915699] Epoch: [322] [700/850] eta: 0:02:10 lr: 0.001669 loss: 0.0145 (0.0153) loss_rec_all: 0.0509 (0.0515) loss_rec_sfr: 0.0552 (0.0725) loss_cl: -0.3675 (-0.3674) time: 0.8625 data: 0.0003 max mem: 29859 [21:44:13.208425] Epoch: [322] [720/850] eta: 0:01:53 lr: 0.001669 loss: 0.0162 (0.0154) loss_rec_all: 0.0523 (0.0516) loss_rec_sfr: 0.0907 (0.0729) loss_cl: -0.3671 (-0.3674) time: 0.8646 data: 0.0003 max mem: 29859 [21:44:30.452739] Epoch: [322] [740/850] eta: 0:01:35 lr: 0.001669 loss: 0.0142 (0.0154) loss_rec_all: 0.0505 (0.0516) loss_rec_sfr: 0.0520 (0.0727) loss_cl: -0.3673 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [21:44:47.779536] Epoch: [322] [760/850] eta: 0:01:18 lr: 0.001669 loss: 0.0148 (0.0154) loss_rec_all: 0.0512 (0.0516) loss_rec_sfr: 0.0512 (0.0725) loss_cl: -0.3672 (-0.3674) time: 0.8663 data: 0.0002 max mem: 29859 [21:45:05.051717] Epoch: [322] [780/850] eta: 0:01:00 lr: 0.001669 loss: 0.0144 (0.0154) loss_rec_all: 0.0506 (0.0516) loss_rec_sfr: 0.0721 (0.0726) loss_cl: -0.3666 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [21:45:22.353239] Epoch: [322] [800/850] eta: 0:00:43 lr: 0.001669 loss: 0.0147 (0.0154) loss_rec_all: 0.0510 (0.0516) loss_rec_sfr: 0.0514 (0.0724) loss_cl: -0.3670 (-0.3673) time: 0.8650 data: 0.0002 max mem: 29859 [21:45:39.624229] Epoch: [322] [820/850] eta: 0:00:26 lr: 0.001669 loss: 0.0142 (0.0153) loss_rec_all: 0.0503 (0.0516) loss_rec_sfr: 0.0522 (0.0724) loss_cl: -0.3670 (-0.3673) time: 0.8635 data: 0.0003 max mem: 29859 [21:45:56.930198] Epoch: [322] [840/850] eta: 0:00:08 lr: 0.001668 loss: 0.0167 (0.0154) loss_rec_all: 0.0527 (0.0516) loss_rec_sfr: 0.0868 (0.0727) loss_cl: -0.3673 (-0.3673) time: 0.8652 data: 0.0005 max mem: 29859 [21:46:04.692159] Epoch: [322] [849/850] eta: 0:00:00 lr: 0.001668 loss: 0.0167 (0.0154) loss_rec_all: 0.0527 (0.0516) loss_rec_sfr: 0.0874 (0.0729) loss_cl: -0.3674 (-0.3673) time: 0.8645 data: 0.0004 max mem: 29859 [21:46:04.843690] Epoch: [322] Total time: 0:12:18 (0.8693 s / it) [21:46:04.851721] Averaged stats: lr: 0.001668 loss: 0.0167 (0.0154) loss_rec_all: 0.0527 (0.0516) loss_rec_sfr: 0.0874 (0.0724) loss_cl: -0.3674 (-0.3673) [21:46:04.898982] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [21:46:11.127227] Epoch: [323] [ 0/850] eta: 1:28:12 lr: 0.001668 loss: 0.0200 (0.0200) loss_rec_all: 0.0560 (0.0560) loss_rec_sfr: 0.1158 (0.1158) loss_cl: -0.3682 (-0.3682) time: 6.2267 data: 5.3729 max mem: 29859 [21:46:28.335677] Epoch: [323] [ 20/850] eta: 0:15:26 lr: 0.001668 loss: 0.0179 (0.0189) loss_rec_all: 0.0539 (0.0551) loss_rec_sfr: 0.0815 (0.0840) loss_cl: -0.3672 (-0.3674) time: 0.8604 data: 0.0004 max mem: 29859 [21:46:45.606177] Epoch: [323] [ 40/850] eta: 0:13:24 lr: 0.001668 loss: 0.0166 (0.0185) loss_rec_all: 0.0526 (0.0547) loss_rec_sfr: 0.0803 (0.0817) loss_cl: -0.3677 (-0.3675) time: 0.8635 data: 0.0002 max mem: 29859 [21:47:02.890592] Epoch: [323] [ 60/850] eta: 0:12:30 lr: 0.001668 loss: 0.0182 (0.0184) loss_rec_all: 0.0544 (0.0546) loss_rec_sfr: 0.0781 (0.0825) loss_cl: -0.3679 (-0.3677) time: 0.8642 data: 0.0003 max mem: 29859 [21:47:20.173563] Epoch: [323] [ 80/850] eta: 0:11:55 lr: 0.001668 loss: 0.0154 (0.0180) loss_rec_all: 0.0516 (0.0542) loss_rec_sfr: 0.0566 (0.0800) loss_cl: -0.3673 (-0.3676) time: 0.8641 data: 0.0002 max mem: 29859 [21:47:37.451021] Epoch: [323] [100/850] eta: 0:11:27 lr: 0.001668 loss: 0.0165 (0.0178) loss_rec_all: 0.0525 (0.0540) loss_rec_sfr: 0.0763 (0.0791) loss_cl: -0.3671 (-0.3675) time: 0.8638 data: 0.0002 max mem: 29859 [21:47:54.752760] Epoch: [323] [120/850] eta: 0:11:02 lr: 0.001668 loss: 0.0160 (0.0174) loss_rec_all: 0.0522 (0.0536) loss_rec_sfr: 0.0572 (0.0775) loss_cl: -0.3666 (-0.3674) time: 0.8650 data: 0.0003 max mem: 29859 [21:48:12.000165] Epoch: [323] [140/850] eta: 0:10:39 lr: 0.001668 loss: 0.0142 (0.0171) loss_rec_all: 0.0506 (0.0533) loss_rec_sfr: 0.0569 (0.0771) loss_cl: -0.3675 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [21:48:29.311277] Epoch: [323] [160/850] eta: 0:10:18 lr: 0.001668 loss: 0.0140 (0.0168) loss_rec_all: 0.0504 (0.0530) loss_rec_sfr: 0.0511 (0.0757) loss_cl: -0.3676 (-0.3674) time: 0.8655 data: 0.0002 max mem: 29859 [21:48:46.560103] Epoch: [323] [180/850] eta: 0:09:58 lr: 0.001667 loss: 0.0124 (0.0164) loss_rec_all: 0.0490 (0.0527) loss_rec_sfr: 0.0521 (0.0745) loss_cl: -0.3682 (-0.3675) time: 0.8624 data: 0.0002 max mem: 29859 [21:49:03.868969] Epoch: [323] [200/850] eta: 0:09:38 lr: 0.001667 loss: 0.0143 (0.0162) loss_rec_all: 0.0505 (0.0525) loss_rec_sfr: 0.0731 (0.0748) loss_cl: -0.3678 (-0.3676) time: 0.8654 data: 0.0002 max mem: 29859 [21:49:21.127820] Epoch: [323] [220/850] eta: 0:09:19 lr: 0.001667 loss: 0.0146 (0.0161) loss_rec_all: 0.0506 (0.0523) loss_rec_sfr: 0.0736 (0.0750) loss_cl: -0.3675 (-0.3675) time: 0.8629 data: 0.0002 max mem: 29859 [21:49:38.439536] Epoch: [323] [240/850] eta: 0:09:00 lr: 0.001667 loss: 0.0149 (0.0160) loss_rec_all: 0.0511 (0.0522) loss_rec_sfr: 0.0744 (0.0746) loss_cl: -0.3669 (-0.3675) time: 0.8655 data: 0.0003 max mem: 29859 [21:49:55.686056] Epoch: [323] [260/850] eta: 0:08:41 lr: 0.001667 loss: 0.0145 (0.0160) loss_rec_all: 0.0507 (0.0522) loss_rec_sfr: 0.0746 (0.0746) loss_cl: -0.3669 (-0.3674) time: 0.8623 data: 0.0003 max mem: 29859 [21:50:12.988966] Epoch: [323] [280/850] eta: 0:08:23 lr: 0.001667 loss: 0.0153 (0.0160) loss_rec_all: 0.0515 (0.0523) loss_rec_sfr: 0.0737 (0.0747) loss_cl: -0.3669 (-0.3674) time: 0.8651 data: 0.0002 max mem: 29859 [21:50:30.295656] Epoch: [323] [300/850] eta: 0:08:04 lr: 0.001667 loss: 0.0148 (0.0161) loss_rec_all: 0.0511 (0.0523) loss_rec_sfr: 0.0669 (0.0747) loss_cl: -0.3672 (-0.3674) time: 0.8653 data: 0.0003 max mem: 29859 [21:50:47.590531] Epoch: [323] [320/850] eta: 0:07:46 lr: 0.001667 loss: 0.0154 (0.0161) loss_rec_all: 0.0517 (0.0523) loss_rec_sfr: 0.0594 (0.0742) loss_cl: -0.3676 (-0.3674) time: 0.8647 data: 0.0003 max mem: 29859 [21:51:04.848222] Epoch: [323] [340/850] eta: 0:07:28 lr: 0.001667 loss: 0.0144 (0.0160) loss_rec_all: 0.0507 (0.0523) loss_rec_sfr: 0.0751 (0.0742) loss_cl: -0.3681 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [21:51:22.158458] Epoch: [323] [360/850] eta: 0:07:10 lr: 0.001666 loss: 0.0149 (0.0160) loss_rec_all: 0.0513 (0.0522) loss_rec_sfr: 0.0562 (0.0737) loss_cl: -0.3680 (-0.3674) time: 0.8655 data: 0.0003 max mem: 29859 [21:51:39.400498] Epoch: [323] [380/850] eta: 0:06:52 lr: 0.001666 loss: 0.0143 (0.0159) loss_rec_all: 0.0505 (0.0522) loss_rec_sfr: 0.0743 (0.0738) loss_cl: -0.3679 (-0.3675) time: 0.8620 data: 0.0002 max mem: 29859 [21:51:56.701521] Epoch: [323] [400/850] eta: 0:06:34 lr: 0.001666 loss: 0.0145 (0.0159) loss_rec_all: 0.0508 (0.0521) loss_rec_sfr: 0.0592 (0.0738) loss_cl: -0.3674 (-0.3675) time: 0.8650 data: 0.0002 max mem: 29859 [21:52:13.949732] Epoch: [323] [420/850] eta: 0:06:16 lr: 0.001666 loss: 0.0138 (0.0158) loss_rec_all: 0.0502 (0.0520) loss_rec_sfr: 0.0541 (0.0735) loss_cl: -0.3670 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [21:52:31.251895] Epoch: [323] [440/850] eta: 0:05:59 lr: 0.001666 loss: 0.0136 (0.0157) loss_rec_all: 0.0500 (0.0520) loss_rec_sfr: 0.0577 (0.0736) loss_cl: -0.3670 (-0.3674) time: 0.8651 data: 0.0002 max mem: 29859 [21:52:48.514801] Epoch: [323] [460/850] eta: 0:05:41 lr: 0.001666 loss: 0.0142 (0.0157) loss_rec_all: 0.0506 (0.0520) loss_rec_sfr: 0.0587 (0.0738) loss_cl: -0.3675 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [21:53:05.798772] Epoch: [323] [480/850] eta: 0:05:23 lr: 0.001666 loss: 0.0145 (0.0157) loss_rec_all: 0.0506 (0.0519) loss_rec_sfr: 0.0606 (0.0736) loss_cl: -0.3672 (-0.3674) time: 0.8641 data: 0.0003 max mem: 29859 [21:53:23.106599] Epoch: [323] [500/850] eta: 0:05:06 lr: 0.001666 loss: 0.0143 (0.0157) loss_rec_all: 0.0505 (0.0519) loss_rec_sfr: 0.0608 (0.0735) loss_cl: -0.3676 (-0.3674) time: 0.8653 data: 0.0004 max mem: 29859 [21:53:40.398942] Epoch: [323] [520/850] eta: 0:04:48 lr: 0.001666 loss: 0.0143 (0.0156) loss_rec_all: 0.0503 (0.0518) loss_rec_sfr: 0.0696 (0.0735) loss_cl: -0.3669 (-0.3674) time: 0.8646 data: 0.0002 max mem: 29859 [21:53:57.636511] Epoch: [323] [540/850] eta: 0:04:30 lr: 0.001665 loss: 0.0142 (0.0156) loss_rec_all: 0.0505 (0.0518) loss_rec_sfr: 0.0608 (0.0735) loss_cl: -0.3671 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [21:54:15.017194] Epoch: [323] [560/850] eta: 0:04:13 lr: 0.001665 loss: 0.0140 (0.0155) loss_rec_all: 0.0504 (0.0518) loss_rec_sfr: 0.0548 (0.0732) loss_cl: -0.3669 (-0.3674) time: 0.8690 data: 0.0004 max mem: 29859 [21:54:32.272174] Epoch: [323] [580/850] eta: 0:03:55 lr: 0.001665 loss: 0.0162 (0.0156) loss_rec_all: 0.0525 (0.0518) loss_rec_sfr: 0.0694 (0.0734) loss_cl: -0.3669 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [21:54:49.550935] Epoch: [323] [600/850] eta: 0:03:38 lr: 0.001665 loss: 0.0156 (0.0156) loss_rec_all: 0.0519 (0.0518) loss_rec_sfr: 0.0576 (0.0733) loss_cl: -0.3672 (-0.3673) time: 0.8639 data: 0.0003 max mem: 29859 [21:55:06.834108] Epoch: [323] [620/850] eta: 0:03:20 lr: 0.001665 loss: 0.0161 (0.0156) loss_rec_all: 0.0521 (0.0518) loss_rec_sfr: 0.0666 (0.0733) loss_cl: -0.3672 (-0.3673) time: 0.8641 data: 0.0003 max mem: 29859 [21:55:24.122378] Epoch: [323] [640/850] eta: 0:03:03 lr: 0.001665 loss: 0.0171 (0.0157) loss_rec_all: 0.0532 (0.0519) loss_rec_sfr: 0.0767 (0.0735) loss_cl: -0.3677 (-0.3673) time: 0.8644 data: 0.0003 max mem: 29859 [21:55:41.384395] Epoch: [323] [660/850] eta: 0:02:45 lr: 0.001665 loss: 0.0150 (0.0157) loss_rec_all: 0.0513 (0.0519) loss_rec_sfr: 0.0570 (0.0735) loss_cl: -0.3680 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [21:55:58.664534] Epoch: [323] [680/850] eta: 0:02:28 lr: 0.001665 loss: 0.0147 (0.0157) loss_rec_all: 0.0510 (0.0519) loss_rec_sfr: 0.0789 (0.0735) loss_cl: -0.3674 (-0.3673) time: 0.8640 data: 0.0003 max mem: 29859 [21:56:15.903036] Epoch: [323] [700/850] eta: 0:02:10 lr: 0.001665 loss: 0.0141 (0.0156) loss_rec_all: 0.0505 (0.0518) loss_rec_sfr: 0.0533 (0.0732) loss_cl: -0.3673 (-0.3673) time: 0.8619 data: 0.0003 max mem: 29859 [21:56:33.250338] Epoch: [323] [720/850] eta: 0:01:53 lr: 0.001664 loss: 0.0157 (0.0156) loss_rec_all: 0.0519 (0.0519) loss_rec_sfr: 0.0815 (0.0734) loss_cl: -0.3674 (-0.3673) time: 0.8673 data: 0.0004 max mem: 29859 [21:56:50.491676] Epoch: [323] [740/850] eta: 0:01:35 lr: 0.001664 loss: 0.0142 (0.0156) loss_rec_all: 0.0504 (0.0518) loss_rec_sfr: 0.0561 (0.0733) loss_cl: -0.3677 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [21:57:07.769273] Epoch: [323] [760/850] eta: 0:01:18 lr: 0.001664 loss: 0.0147 (0.0156) loss_rec_all: 0.0510 (0.0518) loss_rec_sfr: 0.0769 (0.0734) loss_cl: -0.3676 (-0.3674) time: 0.8638 data: 0.0004 max mem: 29859 [21:57:25.057394] Epoch: [323] [780/850] eta: 0:01:00 lr: 0.001664 loss: 0.0137 (0.0156) loss_rec_all: 0.0500 (0.0518) loss_rec_sfr: 0.0562 (0.0733) loss_cl: -0.3671 (-0.3674) time: 0.8643 data: 0.0003 max mem: 29859 [21:57:42.352002] Epoch: [323] [800/850] eta: 0:00:43 lr: 0.001664 loss: 0.0142 (0.0156) loss_rec_all: 0.0505 (0.0518) loss_rec_sfr: 0.0570 (0.0731) loss_cl: -0.3671 (-0.3673) time: 0.8647 data: 0.0003 max mem: 29859 [21:57:59.598720] Epoch: [323] [820/850] eta: 0:00:26 lr: 0.001664 loss: 0.0146 (0.0156) loss_rec_all: 0.0511 (0.0518) loss_rec_sfr: 0.0742 (0.0732) loss_cl: -0.3679 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [21:58:16.901448] Epoch: [323] [840/850] eta: 0:00:08 lr: 0.001664 loss: 0.0138 (0.0155) loss_rec_all: 0.0499 (0.0517) loss_rec_sfr: 0.0522 (0.0732) loss_cl: -0.3680 (-0.3674) time: 0.8651 data: 0.0005 max mem: 29859 [21:58:24.659221] Epoch: [323] [849/850] eta: 0:00:00 lr: 0.001664 loss: 0.0150 (0.0155) loss_rec_all: 0.0511 (0.0517) loss_rec_sfr: 0.0749 (0.0732) loss_cl: -0.3680 (-0.3674) time: 0.8642 data: 0.0005 max mem: 29859 [21:58:24.812407] Epoch: [323] Total time: 0:12:19 (0.8705 s / it) [21:58:24.814918] Averaged stats: lr: 0.001664 loss: 0.0150 (0.0155) loss_rec_all: 0.0511 (0.0518) loss_rec_sfr: 0.0749 (0.0731) loss_cl: -0.3680 (-0.3673) [21:58:24.827242] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [21:58:31.223942] Epoch: [324] [ 0/850] eta: 1:30:36 lr: 0.001664 loss: 0.0128 (0.0128) loss_rec_all: 0.0492 (0.0492) loss_rec_sfr: 0.0478 (0.0478) loss_cl: -0.3673 (-0.3673) time: 6.3958 data: 5.5396 max mem: 29859 [21:58:48.442302] Epoch: [324] [ 20/850] eta: 0:15:33 lr: 0.001664 loss: 0.0141 (0.0143) loss_rec_all: 0.0504 (0.0506) loss_rec_sfr: 0.0535 (0.0719) loss_cl: -0.3677 (-0.3678) time: 0.8609 data: 0.0002 max mem: 29859 [21:59:05.709640] Epoch: [324] [ 40/850] eta: 0:13:27 lr: 0.001664 loss: 0.0143 (0.0146) loss_rec_all: 0.0505 (0.0509) loss_rec_sfr: 0.0520 (0.0724) loss_cl: -0.3670 (-0.3675) time: 0.8633 data: 0.0002 max mem: 29859 [21:59:22.942421] Epoch: [324] [ 60/850] eta: 0:12:32 lr: 0.001663 loss: 0.0158 (0.0150) loss_rec_all: 0.0519 (0.0512) loss_rec_sfr: 0.0588 (0.0718) loss_cl: -0.3666 (-0.3672) time: 0.8616 data: 0.0003 max mem: 29859 [21:59:40.237985] Epoch: [324] [ 80/850] eta: 0:11:56 lr: 0.001663 loss: 0.0142 (0.0150) loss_rec_all: 0.0505 (0.0512) loss_rec_sfr: 0.0597 (0.0715) loss_cl: -0.3669 (-0.3671) time: 0.8647 data: 0.0003 max mem: 29859 [21:59:57.529198] Epoch: [324] [100/850] eta: 0:11:28 lr: 0.001663 loss: 0.0147 (0.0151) loss_rec_all: 0.0507 (0.0513) loss_rec_sfr: 0.0794 (0.0730) loss_cl: -0.3673 (-0.3671) time: 0.8645 data: 0.0004 max mem: 29859 [22:00:14.884166] Epoch: [324] [120/850] eta: 0:11:03 lr: 0.001663 loss: 0.0148 (0.0150) loss_rec_all: 0.0508 (0.0512) loss_rec_sfr: 0.0559 (0.0724) loss_cl: -0.3667 (-0.3671) time: 0.8677 data: 0.0004 max mem: 29859 [22:00:32.123550] Epoch: [324] [140/850] eta: 0:10:40 lr: 0.001663 loss: 0.0163 (0.0151) loss_rec_all: 0.0523 (0.0513) loss_rec_sfr: 0.0726 (0.0735) loss_cl: -0.3671 (-0.3671) time: 0.8619 data: 0.0002 max mem: 29859 [22:00:49.429672] Epoch: [324] [160/850] eta: 0:10:19 lr: 0.001663 loss: 0.0131 (0.0150) loss_rec_all: 0.0496 (0.0512) loss_rec_sfr: 0.0597 (0.0728) loss_cl: -0.3676 (-0.3671) time: 0.8653 data: 0.0002 max mem: 29859 [22:01:06.672163] Epoch: [324] [180/850] eta: 0:09:59 lr: 0.001663 loss: 0.0141 (0.0149) loss_rec_all: 0.0500 (0.0511) loss_rec_sfr: 0.0571 (0.0725) loss_cl: -0.3678 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [22:01:23.965556] Epoch: [324] [200/850] eta: 0:09:39 lr: 0.001663 loss: 0.0140 (0.0149) loss_rec_all: 0.0502 (0.0511) loss_rec_sfr: 0.0727 (0.0724) loss_cl: -0.3681 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [22:01:41.231974] Epoch: [324] [220/850] eta: 0:09:19 lr: 0.001663 loss: 0.0140 (0.0149) loss_rec_all: 0.0505 (0.0511) loss_rec_sfr: 0.0725 (0.0725) loss_cl: -0.3678 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [22:01:58.522638] Epoch: [324] [240/850] eta: 0:09:00 lr: 0.001663 loss: 0.0139 (0.0148) loss_rec_all: 0.0502 (0.0511) loss_rec_sfr: 0.0705 (0.0726) loss_cl: -0.3678 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [22:02:15.764897] Epoch: [324] [260/850] eta: 0:08:42 lr: 0.001662 loss: 0.0156 (0.0148) loss_rec_all: 0.0517 (0.0511) loss_rec_sfr: 0.0873 (0.0731) loss_cl: -0.3672 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [22:02:33.055766] Epoch: [324] [280/850] eta: 0:08:23 lr: 0.001662 loss: 0.0140 (0.0148) loss_rec_all: 0.0500 (0.0510) loss_rec_sfr: 0.0768 (0.0733) loss_cl: -0.3671 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [22:02:50.308602] Epoch: [324] [300/850] eta: 0:08:05 lr: 0.001662 loss: 0.0141 (0.0149) loss_rec_all: 0.0505 (0.0511) loss_rec_sfr: 0.0708 (0.0730) loss_cl: -0.3671 (-0.3673) time: 0.8626 data: 0.0003 max mem: 29859 [22:03:07.586717] Epoch: [324] [320/850] eta: 0:07:46 lr: 0.001662 loss: 0.0146 (0.0149) loss_rec_all: 0.0507 (0.0511) loss_rec_sfr: 0.0572 (0.0729) loss_cl: -0.3678 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [22:03:24.887191] Epoch: [324] [340/850] eta: 0:07:28 lr: 0.001662 loss: 0.0174 (0.0150) loss_rec_all: 0.0534 (0.0513) loss_rec_sfr: 0.0761 (0.0734) loss_cl: -0.3676 (-0.3673) time: 0.8650 data: 0.0003 max mem: 29859 [22:03:42.297627] Epoch: [324] [360/850] eta: 0:07:10 lr: 0.001662 loss: 0.0152 (0.0151) loss_rec_all: 0.0516 (0.0513) loss_rec_sfr: 0.0594 (0.0731) loss_cl: -0.3676 (-0.3674) time: 0.8705 data: 0.0007 max mem: 29859 [22:03:59.558179] Epoch: [324] [380/850] eta: 0:06:52 lr: 0.001662 loss: 0.0153 (0.0151) loss_rec_all: 0.0516 (0.0513) loss_rec_sfr: 0.0523 (0.0729) loss_cl: -0.3672 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [22:04:16.876783] Epoch: [324] [400/850] eta: 0:06:35 lr: 0.001662 loss: 0.0143 (0.0151) loss_rec_all: 0.0505 (0.0513) loss_rec_sfr: 0.0515 (0.0720) loss_cl: -0.3670 (-0.3673) time: 0.8659 data: 0.0003 max mem: 29859 [22:04:34.131325] Epoch: [324] [420/850] eta: 0:06:17 lr: 0.001662 loss: 0.0149 (0.0151) loss_rec_all: 0.0510 (0.0513) loss_rec_sfr: 0.0625 (0.0722) loss_cl: -0.3673 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [22:04:51.428612] Epoch: [324] [440/850] eta: 0:05:59 lr: 0.001661 loss: 0.0150 (0.0152) loss_rec_all: 0.0514 (0.0514) loss_rec_sfr: 0.0609 (0.0724) loss_cl: -0.3675 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [22:05:08.689187] Epoch: [324] [460/850] eta: 0:05:41 lr: 0.001661 loss: 0.0145 (0.0152) loss_rec_all: 0.0508 (0.0514) loss_rec_sfr: 0.0565 (0.0723) loss_cl: -0.3670 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [22:05:25.967845] Epoch: [324] [480/850] eta: 0:05:23 lr: 0.001661 loss: 0.0139 (0.0151) loss_rec_all: 0.0501 (0.0514) loss_rec_sfr: 0.0778 (0.0724) loss_cl: -0.3666 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [22:05:43.249887] Epoch: [324] [500/850] eta: 0:05:06 lr: 0.001661 loss: 0.0142 (0.0151) loss_rec_all: 0.0505 (0.0514) loss_rec_sfr: 0.0717 (0.0725) loss_cl: -0.3674 (-0.3673) time: 0.8640 data: 0.0004 max mem: 29859 [22:06:00.546471] Epoch: [324] [520/850] eta: 0:04:48 lr: 0.001661 loss: 0.0139 (0.0151) loss_rec_all: 0.0502 (0.0513) loss_rec_sfr: 0.0558 (0.0724) loss_cl: -0.3671 (-0.3673) time: 0.8648 data: 0.0003 max mem: 29859 [22:06:17.788874] Epoch: [324] [540/850] eta: 0:04:30 lr: 0.001661 loss: 0.0141 (0.0151) loss_rec_all: 0.0504 (0.0513) loss_rec_sfr: 0.0600 (0.0726) loss_cl: -0.3673 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [22:06:35.137221] Epoch: [324] [560/850] eta: 0:04:13 lr: 0.001661 loss: 0.0127 (0.0150) loss_rec_all: 0.0491 (0.0513) loss_rec_sfr: 0.0497 (0.0722) loss_cl: -0.3677 (-0.3673) time: 0.8673 data: 0.0003 max mem: 29859 [22:06:52.407345] Epoch: [324] [580/850] eta: 0:03:55 lr: 0.001661 loss: 0.0138 (0.0150) loss_rec_all: 0.0500 (0.0513) loss_rec_sfr: 0.0732 (0.0723) loss_cl: -0.3681 (-0.3673) time: 0.8634 data: 0.0003 max mem: 29859 [22:07:09.729163] Epoch: [324] [600/850] eta: 0:03:38 lr: 0.001661 loss: 0.0138 (0.0150) loss_rec_all: 0.0502 (0.0512) loss_rec_sfr: 0.0558 (0.0724) loss_cl: -0.3682 (-0.3673) time: 0.8660 data: 0.0004 max mem: 29859 [22:07:27.005017] Epoch: [324] [620/850] eta: 0:03:20 lr: 0.001660 loss: 0.0138 (0.0150) loss_rec_all: 0.0501 (0.0512) loss_rec_sfr: 0.0690 (0.0723) loss_cl: -0.3680 (-0.3674) time: 0.8637 data: 0.0003 max mem: 29859 [22:07:44.302956] Epoch: [324] [640/850] eta: 0:03:03 lr: 0.001660 loss: 0.0149 (0.0150) loss_rec_all: 0.0509 (0.0512) loss_rec_sfr: 0.0744 (0.0724) loss_cl: -0.3676 (-0.3674) time: 0.8648 data: 0.0003 max mem: 29859 [22:08:01.593024] Epoch: [324] [660/850] eta: 0:02:45 lr: 0.001660 loss: 0.0141 (0.0150) loss_rec_all: 0.0502 (0.0512) loss_rec_sfr: 0.0757 (0.0724) loss_cl: -0.3671 (-0.3674) time: 0.8644 data: 0.0003 max mem: 29859 [22:08:18.882515] Epoch: [324] [680/850] eta: 0:02:28 lr: 0.001660 loss: 0.0145 (0.0150) loss_rec_all: 0.0506 (0.0512) loss_rec_sfr: 0.0533 (0.0724) loss_cl: -0.3668 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [22:08:36.147685] Epoch: [324] [700/850] eta: 0:02:10 lr: 0.001660 loss: 0.0170 (0.0151) loss_rec_all: 0.0529 (0.0513) loss_rec_sfr: 0.0788 (0.0726) loss_cl: -0.3670 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [22:08:53.500688] Epoch: [324] [720/850] eta: 0:01:53 lr: 0.001660 loss: 0.0146 (0.0151) loss_rec_all: 0.0509 (0.0513) loss_rec_sfr: 0.0749 (0.0726) loss_cl: -0.3676 (-0.3673) time: 0.8676 data: 0.0006 max mem: 29859 [22:09:10.767917] Epoch: [324] [740/850] eta: 0:01:35 lr: 0.001660 loss: 0.0144 (0.0151) loss_rec_all: 0.0508 (0.0513) loss_rec_sfr: 0.0778 (0.0726) loss_cl: -0.3679 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [22:09:28.122826] Epoch: [324] [760/850] eta: 0:01:18 lr: 0.001660 loss: 0.0143 (0.0151) loss_rec_all: 0.0504 (0.0513) loss_rec_sfr: 0.0729 (0.0726) loss_cl: -0.3678 (-0.3674) time: 0.8677 data: 0.0004 max mem: 29859 [22:09:45.452183] Epoch: [324] [780/850] eta: 0:01:00 lr: 0.001660 loss: 0.0152 (0.0151) loss_rec_all: 0.0513 (0.0513) loss_rec_sfr: 0.0724 (0.0727) loss_cl: -0.3672 (-0.3674) time: 0.8664 data: 0.0004 max mem: 29859 [22:10:02.746894] Epoch: [324] [800/850] eta: 0:00:43 lr: 0.001659 loss: 0.0148 (0.0151) loss_rec_all: 0.0510 (0.0513) loss_rec_sfr: 0.0527 (0.0726) loss_cl: -0.3671 (-0.3674) time: 0.8647 data: 0.0002 max mem: 29859 [22:10:20.000916] Epoch: [324] [820/850] eta: 0:00:26 lr: 0.001659 loss: 0.0140 (0.0151) loss_rec_all: 0.0501 (0.0513) loss_rec_sfr: 0.0555 (0.0726) loss_cl: -0.3674 (-0.3674) time: 0.8626 data: 0.0003 max mem: 29859 [22:10:37.313487] Epoch: [324] [840/850] eta: 0:00:08 lr: 0.001659 loss: 0.0143 (0.0151) loss_rec_all: 0.0506 (0.0513) loss_rec_sfr: 0.0548 (0.0724) loss_cl: -0.3672 (-0.3674) time: 0.8656 data: 0.0007 max mem: 29859 [22:10:45.073043] Epoch: [324] [849/850] eta: 0:00:00 lr: 0.001659 loss: 0.0143 (0.0151) loss_rec_all: 0.0506 (0.0513) loss_rec_sfr: 0.0541 (0.0723) loss_cl: -0.3674 (-0.3673) time: 0.8643 data: 0.0006 max mem: 29859 [22:10:45.192356] Epoch: [324] Total time: 0:12:20 (0.8710 s / it) [22:10:45.196543] Averaged stats: lr: 0.001659 loss: 0.0143 (0.0151) loss_rec_all: 0.0506 (0.0514) loss_rec_sfr: 0.0541 (0.0723) loss_cl: -0.3674 (-0.3673) [22:10:45.202914] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [22:10:52.674583] Epoch: [325] [ 0/850] eta: 1:45:49 lr: 0.001659 loss: 0.0121 (0.0121) loss_rec_all: 0.0485 (0.0485) loss_rec_sfr: 0.0464 (0.0464) loss_cl: -0.3673 (-0.3673) time: 7.4704 data: 4.4479 max mem: 29859 [22:11:10.253387] Epoch: [325] [ 20/850] eta: 0:16:29 lr: 0.001659 loss: 0.0141 (0.0144) loss_rec_all: 0.0503 (0.0507) loss_rec_sfr: 0.0565 (0.0692) loss_cl: -0.3674 (-0.3675) time: 0.8789 data: 0.0195 max mem: 29859 [22:11:27.505545] Epoch: [325] [ 40/850] eta: 0:13:55 lr: 0.001659 loss: 0.0158 (0.0150) loss_rec_all: 0.0517 (0.0513) loss_rec_sfr: 0.0750 (0.0722) loss_cl: -0.3675 (-0.3675) time: 0.8626 data: 0.0002 max mem: 29859 [22:11:44.752426] Epoch: [325] [ 60/850] eta: 0:12:51 lr: 0.001659 loss: 0.0131 (0.0145) loss_rec_all: 0.0495 (0.0508) loss_rec_sfr: 0.0534 (0.0703) loss_cl: -0.3674 (-0.3675) time: 0.8623 data: 0.0002 max mem: 29859 [22:12:02.067506] Epoch: [325] [ 80/850] eta: 0:12:10 lr: 0.001659 loss: 0.0135 (0.0143) loss_rec_all: 0.0499 (0.0506) loss_rec_sfr: 0.0512 (0.0681) loss_cl: -0.3675 (-0.3675) time: 0.8657 data: 0.0003 max mem: 29859 [22:12:19.301889] Epoch: [325] [100/850] eta: 0:11:38 lr: 0.001659 loss: 0.0129 (0.0142) loss_rec_all: 0.0493 (0.0505) loss_rec_sfr: 0.0493 (0.0667) loss_cl: -0.3670 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [22:12:36.635018] Epoch: [325] [120/850] eta: 0:11:12 lr: 0.001659 loss: 0.0139 (0.0142) loss_rec_all: 0.0499 (0.0504) loss_rec_sfr: 0.0739 (0.0676) loss_cl: -0.3670 (-0.3673) time: 0.8666 data: 0.0003 max mem: 29859 [22:12:53.903742] Epoch: [325] [140/850] eta: 0:10:48 lr: 0.001658 loss: 0.0136 (0.0142) loss_rec_all: 0.0497 (0.0505) loss_rec_sfr: 0.0571 (0.0677) loss_cl: -0.3663 (-0.3672) time: 0.8634 data: 0.0003 max mem: 29859 [22:13:11.205196] Epoch: [325] [160/850] eta: 0:10:25 lr: 0.001658 loss: 0.0138 (0.0143) loss_rec_all: 0.0502 (0.0506) loss_rec_sfr: 0.0549 (0.0669) loss_cl: -0.3671 (-0.3671) time: 0.8650 data: 0.0002 max mem: 29859 [22:13:28.473067] Epoch: [325] [180/850] eta: 0:10:04 lr: 0.001658 loss: 0.0167 (0.0146) loss_rec_all: 0.0528 (0.0509) loss_rec_sfr: 0.0826 (0.0685) loss_cl: -0.3677 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [22:13:45.847459] Epoch: [325] [200/850] eta: 0:09:44 lr: 0.001658 loss: 0.0165 (0.0150) loss_rec_all: 0.0528 (0.0512) loss_rec_sfr: 0.0645 (0.0703) loss_cl: -0.3675 (-0.3672) time: 0.8686 data: 0.0003 max mem: 29859 [22:14:03.108500] Epoch: [325] [220/850] eta: 0:09:24 lr: 0.001658 loss: 0.0167 (0.0151) loss_rec_all: 0.0530 (0.0514) loss_rec_sfr: 0.0710 (0.0713) loss_cl: -0.3679 (-0.3672) time: 0.8630 data: 0.0002 max mem: 29859 [22:14:20.386969] Epoch: [325] [240/850] eta: 0:09:04 lr: 0.001658 loss: 0.0152 (0.0152) loss_rec_all: 0.0515 (0.0515) loss_rec_sfr: 0.0584 (0.0714) loss_cl: -0.3676 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [22:14:37.659435] Epoch: [325] [260/850] eta: 0:08:45 lr: 0.001658 loss: 0.0148 (0.0152) loss_rec_all: 0.0509 (0.0515) loss_rec_sfr: 0.0611 (0.0716) loss_cl: -0.3676 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [22:14:54.957261] Epoch: [325] [280/850] eta: 0:08:26 lr: 0.001658 loss: 0.0154 (0.0153) loss_rec_all: 0.0518 (0.0515) loss_rec_sfr: 0.0747 (0.0724) loss_cl: -0.3673 (-0.3673) time: 0.8648 data: 0.0003 max mem: 29859 [22:15:12.197086] Epoch: [325] [300/850] eta: 0:08:07 lr: 0.001658 loss: 0.0150 (0.0153) loss_rec_all: 0.0511 (0.0515) loss_rec_sfr: 0.0763 (0.0726) loss_cl: -0.3672 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [22:15:29.486929] Epoch: [325] [320/850] eta: 0:07:49 lr: 0.001657 loss: 0.0144 (0.0153) loss_rec_all: 0.0507 (0.0515) loss_rec_sfr: 0.0541 (0.0719) loss_cl: -0.3671 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [22:15:46.730456] Epoch: [325] [340/850] eta: 0:07:30 lr: 0.001657 loss: 0.0150 (0.0153) loss_rec_all: 0.0512 (0.0515) loss_rec_sfr: 0.0580 (0.0715) loss_cl: -0.3671 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [22:16:04.049735] Epoch: [325] [360/850] eta: 0:07:12 lr: 0.001657 loss: 0.0146 (0.0153) loss_rec_all: 0.0510 (0.0515) loss_rec_sfr: 0.0549 (0.0716) loss_cl: -0.3675 (-0.3673) time: 0.8659 data: 0.0003 max mem: 29859 [22:16:21.370671] Epoch: [325] [380/850] eta: 0:06:54 lr: 0.001657 loss: 0.0140 (0.0152) loss_rec_all: 0.0502 (0.0515) loss_rec_sfr: 0.0562 (0.0715) loss_cl: -0.3673 (-0.3673) time: 0.8659 data: 0.0004 max mem: 29859 [22:16:38.695039] Epoch: [325] [400/850] eta: 0:06:36 lr: 0.001657 loss: 0.0131 (0.0152) loss_rec_all: 0.0493 (0.0514) loss_rec_sfr: 0.0516 (0.0713) loss_cl: -0.3669 (-0.3673) time: 0.8662 data: 0.0003 max mem: 29859 [22:16:55.946066] Epoch: [325] [420/850] eta: 0:06:18 lr: 0.001657 loss: 0.0154 (0.0152) loss_rec_all: 0.0514 (0.0514) loss_rec_sfr: 0.0730 (0.0715) loss_cl: -0.3672 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [22:17:13.260766] Epoch: [325] [440/850] eta: 0:06:00 lr: 0.001657 loss: 0.0164 (0.0153) loss_rec_all: 0.0525 (0.0515) loss_rec_sfr: 0.0627 (0.0717) loss_cl: -0.3676 (-0.3673) time: 0.8657 data: 0.0003 max mem: 29859 [22:17:30.504206] Epoch: [325] [460/850] eta: 0:05:42 lr: 0.001657 loss: 0.0171 (0.0155) loss_rec_all: 0.0531 (0.0517) loss_rec_sfr: 0.0822 (0.0720) loss_cl: -0.3674 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [22:17:47.804807] Epoch: [325] [480/850] eta: 0:05:25 lr: 0.001657 loss: 0.0152 (0.0155) loss_rec_all: 0.0513 (0.0518) loss_rec_sfr: 0.0797 (0.0723) loss_cl: -0.3673 (-0.3673) time: 0.8650 data: 0.0003 max mem: 29859 [22:18:05.041660] Epoch: [325] [500/850] eta: 0:05:07 lr: 0.001657 loss: 0.0160 (0.0156) loss_rec_all: 0.0521 (0.0518) loss_rec_sfr: 0.0790 (0.0724) loss_cl: -0.3672 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [22:18:22.315961] Epoch: [325] [520/850] eta: 0:04:49 lr: 0.001656 loss: 0.0158 (0.0156) loss_rec_all: 0.0521 (0.0519) loss_rec_sfr: 0.0563 (0.0725) loss_cl: -0.3669 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [22:18:39.561514] Epoch: [325] [540/850] eta: 0:04:31 lr: 0.001656 loss: 0.0150 (0.0156) loss_rec_all: 0.0514 (0.0519) loss_rec_sfr: 0.0802 (0.0726) loss_cl: -0.3677 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [22:18:56.846544] Epoch: [325] [560/850] eta: 0:04:14 lr: 0.001656 loss: 0.0146 (0.0156) loss_rec_all: 0.0511 (0.0519) loss_rec_sfr: 0.0557 (0.0724) loss_cl: -0.3682 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [22:19:14.081521] Epoch: [325] [580/850] eta: 0:03:56 lr: 0.001656 loss: 0.0151 (0.0157) loss_rec_all: 0.0513 (0.0519) loss_rec_sfr: 0.0840 (0.0727) loss_cl: -0.3678 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [22:19:31.421296] Epoch: [325] [600/850] eta: 0:03:38 lr: 0.001656 loss: 0.0146 (0.0156) loss_rec_all: 0.0511 (0.0519) loss_rec_sfr: 0.0762 (0.0728) loss_cl: -0.3673 (-0.3673) time: 0.8669 data: 0.0004 max mem: 29859 [22:19:48.709969] Epoch: [325] [620/850] eta: 0:03:21 lr: 0.001656 loss: 0.0144 (0.0156) loss_rec_all: 0.0508 (0.0518) loss_rec_sfr: 0.0553 (0.0729) loss_cl: -0.3673 (-0.3673) time: 0.8644 data: 0.0003 max mem: 29859 [22:20:06.098562] Epoch: [325] [640/850] eta: 0:03:03 lr: 0.001656 loss: 0.0146 (0.0156) loss_rec_all: 0.0505 (0.0518) loss_rec_sfr: 0.0722 (0.0729) loss_cl: -0.3672 (-0.3673) time: 0.8694 data: 0.0004 max mem: 29859 [22:20:23.398393] Epoch: [325] [660/850] eta: 0:02:46 lr: 0.001656 loss: 0.0153 (0.0156) loss_rec_all: 0.0514 (0.0518) loss_rec_sfr: 0.0616 (0.0728) loss_cl: -0.3667 (-0.3673) time: 0.8649 data: 0.0003 max mem: 29859 [22:20:40.688116] Epoch: [325] [680/850] eta: 0:02:28 lr: 0.001656 loss: 0.0136 (0.0156) loss_rec_all: 0.0499 (0.0518) loss_rec_sfr: 0.0542 (0.0725) loss_cl: -0.3674 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [22:20:57.946658] Epoch: [325] [700/850] eta: 0:02:11 lr: 0.001655 loss: 0.0154 (0.0156) loss_rec_all: 0.0516 (0.0518) loss_rec_sfr: 0.0735 (0.0727) loss_cl: -0.3673 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [22:21:15.227136] Epoch: [325] [720/850] eta: 0:01:53 lr: 0.001655 loss: 0.0140 (0.0156) loss_rec_all: 0.0504 (0.0518) loss_rec_sfr: 0.0522 (0.0725) loss_cl: -0.3675 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [22:21:32.471730] Epoch: [325] [740/850] eta: 0:01:36 lr: 0.001655 loss: 0.0154 (0.0156) loss_rec_all: 0.0513 (0.0518) loss_rec_sfr: 0.0619 (0.0725) loss_cl: -0.3675 (-0.3673) time: 0.8622 data: 0.0003 max mem: 29859 [22:21:49.765082] Epoch: [325] [760/850] eta: 0:01:18 lr: 0.001655 loss: 0.0136 (0.0156) loss_rec_all: 0.0501 (0.0518) loss_rec_sfr: 0.0545 (0.0723) loss_cl: -0.3676 (-0.3673) time: 0.8646 data: 0.0003 max mem: 29859 [22:22:06.998106] Epoch: [325] [780/850] eta: 0:01:01 lr: 0.001655 loss: 0.0147 (0.0156) loss_rec_all: 0.0508 (0.0518) loss_rec_sfr: 0.0853 (0.0726) loss_cl: -0.3679 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [22:22:24.306155] Epoch: [325] [800/850] eta: 0:00:43 lr: 0.001655 loss: 0.0142 (0.0155) loss_rec_all: 0.0505 (0.0518) loss_rec_sfr: 0.0802 (0.0728) loss_cl: -0.3673 (-0.3673) time: 0.8654 data: 0.0003 max mem: 29859 [22:22:41.557364] Epoch: [325] [820/850] eta: 0:00:26 lr: 0.001655 loss: 0.0145 (0.0155) loss_rec_all: 0.0505 (0.0517) loss_rec_sfr: 0.0723 (0.0728) loss_cl: -0.3675 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [22:22:58.857515] Epoch: [325] [840/850] eta: 0:00:08 lr: 0.001655 loss: 0.0145 (0.0155) loss_rec_all: 0.0509 (0.0517) loss_rec_sfr: 0.0592 (0.0728) loss_cl: -0.3677 (-0.3673) time: 0.8649 data: 0.0006 max mem: 29859 [22:23:06.656272] Epoch: [325] [849/850] eta: 0:00:00 lr: 0.001655 loss: 0.0146 (0.0155) loss_rec_all: 0.0510 (0.0517) loss_rec_sfr: 0.0552 (0.0728) loss_cl: -0.3676 (-0.3673) time: 0.8667 data: 0.0006 max mem: 29859 [22:23:06.788684] Epoch: [325] Total time: 0:12:21 (0.8725 s / it) [22:23:06.791298] Averaged stats: lr: 0.001655 loss: 0.0146 (0.0155) loss_rec_all: 0.0510 (0.0517) loss_rec_sfr: 0.0552 (0.0729) loss_cl: -0.3676 (-0.3673) [22:23:06.811445] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [22:23:12.878731] Epoch: [326] [ 0/850] eta: 1:25:56 lr: 0.001655 loss: 0.0134 (0.0134) loss_rec_all: 0.0497 (0.0497) loss_rec_sfr: 0.0575 (0.0575) loss_cl: -0.3675 (-0.3675) time: 6.0665 data: 5.2081 max mem: 29859 [22:23:30.117751] Epoch: [326] [ 20/850] eta: 0:15:21 lr: 0.001655 loss: 0.0138 (0.0146) loss_rec_all: 0.0502 (0.0509) loss_rec_sfr: 0.0585 (0.0650) loss_cl: -0.3671 (-0.3672) time: 0.8619 data: 0.0004 max mem: 29859 [22:23:47.394360] Epoch: [326] [ 40/850] eta: 0:13:21 lr: 0.001654 loss: 0.0151 (0.0152) loss_rec_all: 0.0511 (0.0514) loss_rec_sfr: 0.0749 (0.0720) loss_cl: -0.3671 (-0.3671) time: 0.8638 data: 0.0003 max mem: 29859 [22:24:04.616167] Epoch: [326] [ 60/850] eta: 0:12:28 lr: 0.001654 loss: 0.0157 (0.0155) loss_rec_all: 0.0518 (0.0517) loss_rec_sfr: 0.0746 (0.0733) loss_cl: -0.3670 (-0.3670) time: 0.8610 data: 0.0002 max mem: 29859 [22:24:21.914748] Epoch: [326] [ 80/850] eta: 0:11:53 lr: 0.001654 loss: 0.0145 (0.0153) loss_rec_all: 0.0508 (0.0515) loss_rec_sfr: 0.0731 (0.0729) loss_cl: -0.3677 (-0.3672) time: 0.8649 data: 0.0003 max mem: 29859 [22:24:39.150282] Epoch: [326] [100/850] eta: 0:11:25 lr: 0.001654 loss: 0.0145 (0.0153) loss_rec_all: 0.0509 (0.0515) loss_rec_sfr: 0.0514 (0.0720) loss_cl: -0.3679 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [22:24:56.478220] Epoch: [326] [120/850] eta: 0:11:01 lr: 0.001654 loss: 0.0146 (0.0152) loss_rec_all: 0.0510 (0.0514) loss_rec_sfr: 0.0537 (0.0718) loss_cl: -0.3682 (-0.3674) time: 0.8663 data: 0.0003 max mem: 29859 [22:25:13.730176] Epoch: [326] [140/850] eta: 0:10:39 lr: 0.001654 loss: 0.0140 (0.0150) loss_rec_all: 0.0503 (0.0513) loss_rec_sfr: 0.0560 (0.0716) loss_cl: -0.3678 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [22:25:31.008674] Epoch: [326] [160/850] eta: 0:10:17 lr: 0.001654 loss: 0.0146 (0.0151) loss_rec_all: 0.0505 (0.0513) loss_rec_sfr: 0.0731 (0.0722) loss_cl: -0.3666 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [22:25:48.282981] Epoch: [326] [180/850] eta: 0:09:57 lr: 0.001654 loss: 0.0153 (0.0151) loss_rec_all: 0.0513 (0.0514) loss_rec_sfr: 0.0711 (0.0724) loss_cl: -0.3662 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [22:26:05.585445] Epoch: [326] [200/850] eta: 0:09:38 lr: 0.001654 loss: 0.0153 (0.0152) loss_rec_all: 0.0514 (0.0514) loss_rec_sfr: 0.0543 (0.0715) loss_cl: -0.3658 (-0.3671) time: 0.8651 data: 0.0003 max mem: 29859 [22:26:22.882615] Epoch: [326] [220/850] eta: 0:09:18 lr: 0.001653 loss: 0.0163 (0.0153) loss_rec_all: 0.0523 (0.0515) loss_rec_sfr: 0.0755 (0.0722) loss_cl: -0.3666 (-0.3670) time: 0.8648 data: 0.0003 max mem: 29859 [22:26:40.212946] Epoch: [326] [240/850] eta: 0:09:00 lr: 0.001653 loss: 0.0150 (0.0153) loss_rec_all: 0.0513 (0.0515) loss_rec_sfr: 0.0602 (0.0720) loss_cl: -0.3674 (-0.3671) time: 0.8665 data: 0.0003 max mem: 29859 [22:26:57.488040] Epoch: [326] [260/850] eta: 0:08:41 lr: 0.001653 loss: 0.0146 (0.0153) loss_rec_all: 0.0510 (0.0515) loss_rec_sfr: 0.0594 (0.0720) loss_cl: -0.3684 (-0.3672) time: 0.8637 data: 0.0003 max mem: 29859 [22:27:14.816351] Epoch: [326] [280/850] eta: 0:08:23 lr: 0.001653 loss: 0.0145 (0.0153) loss_rec_all: 0.0510 (0.0515) loss_rec_sfr: 0.0607 (0.0721) loss_cl: -0.3683 (-0.3672) time: 0.8663 data: 0.0003 max mem: 29859 [22:27:32.122998] Epoch: [326] [300/850] eta: 0:08:04 lr: 0.001653 loss: 0.0141 (0.0152) loss_rec_all: 0.0505 (0.0514) loss_rec_sfr: 0.0565 (0.0716) loss_cl: -0.3676 (-0.3673) time: 0.8653 data: 0.0003 max mem: 29859 [22:27:49.446947] Epoch: [326] [320/850] eta: 0:07:46 lr: 0.001653 loss: 0.0144 (0.0152) loss_rec_all: 0.0507 (0.0514) loss_rec_sfr: 0.0722 (0.0717) loss_cl: -0.3675 (-0.3673) time: 0.8661 data: 0.0003 max mem: 29859 [22:28:06.700068] Epoch: [326] [340/850] eta: 0:07:28 lr: 0.001653 loss: 0.0140 (0.0152) loss_rec_all: 0.0503 (0.0514) loss_rec_sfr: 0.0742 (0.0719) loss_cl: -0.3672 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [22:28:24.011989] Epoch: [326] [360/850] eta: 0:07:10 lr: 0.001653 loss: 0.0139 (0.0151) loss_rec_all: 0.0503 (0.0513) loss_rec_sfr: 0.0514 (0.0716) loss_cl: -0.3672 (-0.3673) time: 0.8655 data: 0.0002 max mem: 29859 [22:28:41.283379] Epoch: [326] [380/850] eta: 0:06:52 lr: 0.001653 loss: 0.0148 (0.0151) loss_rec_all: 0.0508 (0.0513) loss_rec_sfr: 0.0690 (0.0717) loss_cl: -0.3669 (-0.3673) time: 0.8635 data: 0.0003 max mem: 29859 [22:28:58.681883] Epoch: [326] [400/850] eta: 0:06:34 lr: 0.001652 loss: 0.0151 (0.0151) loss_rec_all: 0.0511 (0.0513) loss_rec_sfr: 0.0705 (0.0720) loss_cl: -0.3671 (-0.3672) time: 0.8698 data: 0.0007 max mem: 29859 [22:29:15.964423] Epoch: [326] [420/850] eta: 0:06:17 lr: 0.001652 loss: 0.0153 (0.0151) loss_rec_all: 0.0513 (0.0513) loss_rec_sfr: 0.0921 (0.0727) loss_cl: -0.3674 (-0.3673) time: 0.8641 data: 0.0004 max mem: 29859 [22:29:33.222878] Epoch: [326] [440/850] eta: 0:05:59 lr: 0.001652 loss: 0.0152 (0.0151) loss_rec_all: 0.0515 (0.0513) loss_rec_sfr: 0.0704 (0.0728) loss_cl: -0.3679 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [22:29:50.474128] Epoch: [326] [460/850] eta: 0:05:41 lr: 0.001652 loss: 0.0155 (0.0151) loss_rec_all: 0.0514 (0.0513) loss_rec_sfr: 0.0750 (0.0731) loss_cl: -0.3673 (-0.3673) time: 0.8625 data: 0.0007 max mem: 29859 [22:30:07.825844] Epoch: [326] [480/850] eta: 0:05:23 lr: 0.001652 loss: 0.0145 (0.0151) loss_rec_all: 0.0508 (0.0513) loss_rec_sfr: 0.0544 (0.0729) loss_cl: -0.3675 (-0.3673) time: 0.8675 data: 0.0003 max mem: 29859 [22:30:25.064804] Epoch: [326] [500/850] eta: 0:05:06 lr: 0.001652 loss: 0.0150 (0.0152) loss_rec_all: 0.0512 (0.0514) loss_rec_sfr: 0.0600 (0.0728) loss_cl: -0.3669 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [22:30:42.342794] Epoch: [326] [520/850] eta: 0:04:48 lr: 0.001652 loss: 0.0143 (0.0151) loss_rec_all: 0.0507 (0.0514) loss_rec_sfr: 0.0584 (0.0727) loss_cl: -0.3674 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [22:30:59.647759] Epoch: [326] [540/850] eta: 0:04:30 lr: 0.001652 loss: 0.0155 (0.0151) loss_rec_all: 0.0518 (0.0514) loss_rec_sfr: 0.0759 (0.0729) loss_cl: -0.3681 (-0.3673) time: 0.8652 data: 0.0002 max mem: 29859 [22:31:16.931715] Epoch: [326] [560/850] eta: 0:04:13 lr: 0.001652 loss: 0.0141 (0.0151) loss_rec_all: 0.0504 (0.0513) loss_rec_sfr: 0.0743 (0.0731) loss_cl: -0.3677 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [22:31:34.169768] Epoch: [326] [580/850] eta: 0:03:55 lr: 0.001652 loss: 0.0140 (0.0151) loss_rec_all: 0.0503 (0.0513) loss_rec_sfr: 0.0555 (0.0729) loss_cl: -0.3670 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [22:31:51.506357] Epoch: [326] [600/850] eta: 0:03:38 lr: 0.001651 loss: 0.0147 (0.0152) loss_rec_all: 0.0510 (0.0514) loss_rec_sfr: 0.0772 (0.0729) loss_cl: -0.3664 (-0.3673) time: 0.8668 data: 0.0003 max mem: 29859 [22:32:08.747477] Epoch: [326] [620/850] eta: 0:03:20 lr: 0.001651 loss: 0.0159 (0.0152) loss_rec_all: 0.0520 (0.0514) loss_rec_sfr: 0.0599 (0.0728) loss_cl: -0.3668 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [22:32:26.070456] Epoch: [326] [640/850] eta: 0:03:03 lr: 0.001651 loss: 0.0153 (0.0152) loss_rec_all: 0.0514 (0.0514) loss_rec_sfr: 0.0754 (0.0728) loss_cl: -0.3674 (-0.3673) time: 0.8661 data: 0.0003 max mem: 29859 [22:32:43.404741] Epoch: [326] [660/850] eta: 0:02:45 lr: 0.001651 loss: 0.0143 (0.0152) loss_rec_all: 0.0507 (0.0514) loss_rec_sfr: 0.0554 (0.0726) loss_cl: -0.3684 (-0.3673) time: 0.8667 data: 0.0003 max mem: 29859 [22:33:00.697721] Epoch: [326] [680/850] eta: 0:02:28 lr: 0.001651 loss: 0.0131 (0.0152) loss_rec_all: 0.0496 (0.0514) loss_rec_sfr: 0.0533 (0.0724) loss_cl: -0.3684 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [22:33:17.971977] Epoch: [326] [700/850] eta: 0:02:10 lr: 0.001651 loss: 0.0146 (0.0152) loss_rec_all: 0.0510 (0.0514) loss_rec_sfr: 0.0721 (0.0725) loss_cl: -0.3679 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [22:33:35.302904] Epoch: [326] [720/850] eta: 0:01:53 lr: 0.001651 loss: 0.0152 (0.0152) loss_rec_all: 0.0513 (0.0514) loss_rec_sfr: 0.0741 (0.0726) loss_cl: -0.3668 (-0.3673) time: 0.8665 data: 0.0003 max mem: 29859 [22:33:52.568692] Epoch: [326] [740/850] eta: 0:01:35 lr: 0.001651 loss: 0.0151 (0.0152) loss_rec_all: 0.0512 (0.0515) loss_rec_sfr: 0.0547 (0.0727) loss_cl: -0.3664 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [22:34:09.902542] Epoch: [326] [760/850] eta: 0:01:18 lr: 0.001651 loss: 0.0139 (0.0152) loss_rec_all: 0.0502 (0.0515) loss_rec_sfr: 0.0524 (0.0725) loss_cl: -0.3670 (-0.3673) time: 0.8666 data: 0.0002 max mem: 29859 [22:34:27.192156] Epoch: [326] [780/850] eta: 0:01:00 lr: 0.001650 loss: 0.0138 (0.0152) loss_rec_all: 0.0501 (0.0514) loss_rec_sfr: 0.0549 (0.0724) loss_cl: -0.3672 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [22:34:44.476269] Epoch: [326] [800/850] eta: 0:00:43 lr: 0.001650 loss: 0.0147 (0.0152) loss_rec_all: 0.0509 (0.0514) loss_rec_sfr: 0.0615 (0.0723) loss_cl: -0.3677 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [22:35:01.768243] Epoch: [326] [820/850] eta: 0:00:26 lr: 0.001650 loss: 0.0146 (0.0152) loss_rec_all: 0.0508 (0.0514) loss_rec_sfr: 0.0548 (0.0723) loss_cl: -0.3680 (-0.3673) time: 0.8645 data: 0.0003 max mem: 29859 [22:35:19.053933] Epoch: [326] [840/850] eta: 0:00:08 lr: 0.001650 loss: 0.0140 (0.0152) loss_rec_all: 0.0504 (0.0514) loss_rec_sfr: 0.0554 (0.0722) loss_cl: -0.3679 (-0.3673) time: 0.8642 data: 0.0008 max mem: 29859 [22:35:26.803021] Epoch: [326] [849/850] eta: 0:00:00 lr: 0.001650 loss: 0.0133 (0.0152) loss_rec_all: 0.0497 (0.0514) loss_rec_sfr: 0.0554 (0.0721) loss_cl: -0.3679 (-0.3673) time: 0.8631 data: 0.0007 max mem: 29859 [22:35:26.939740] Epoch: [326] Total time: 0:12:20 (0.8707 s / it) [22:35:26.944851] Averaged stats: lr: 0.001650 loss: 0.0133 (0.0152) loss_rec_all: 0.0497 (0.0515) loss_rec_sfr: 0.0554 (0.0721) loss_cl: -0.3679 (-0.3673) [22:35:26.956759] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [22:35:33.039638] Epoch: [327] [ 0/850] eta: 1:26:09 lr: 0.001650 loss: 0.0103 (0.0103) loss_rec_all: 0.0467 (0.0467) loss_rec_sfr: 0.0444 (0.0444) loss_cl: -0.3669 (-0.3669) time: 6.0821 data: 5.2297 max mem: 29859 [22:35:50.257572] Epoch: [327] [ 20/850] eta: 0:15:20 lr: 0.001650 loss: 0.0131 (0.0135) loss_rec_all: 0.0495 (0.0498) loss_rec_sfr: 0.0555 (0.0631) loss_cl: -0.3675 (-0.3674) time: 0.8608 data: 0.0003 max mem: 29859 [22:36:07.536059] Epoch: [327] [ 40/850] eta: 0:13:21 lr: 0.001650 loss: 0.0134 (0.0137) loss_rec_all: 0.0498 (0.0500) loss_rec_sfr: 0.0532 (0.0644) loss_cl: -0.3670 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [22:36:24.772765] Epoch: [327] [ 60/850] eta: 0:12:28 lr: 0.001650 loss: 0.0140 (0.0139) loss_rec_all: 0.0501 (0.0501) loss_rec_sfr: 0.0860 (0.0698) loss_cl: -0.3670 (-0.3671) time: 0.8618 data: 0.0002 max mem: 29859 [22:36:42.133754] Epoch: [327] [ 80/850] eta: 0:11:54 lr: 0.001650 loss: 0.0171 (0.0149) loss_rec_all: 0.0531 (0.0511) loss_rec_sfr: 0.0866 (0.0749) loss_cl: -0.3672 (-0.3671) time: 0.8679 data: 0.0004 max mem: 29859 [22:36:59.430246] Epoch: [327] [100/850] eta: 0:11:26 lr: 0.001650 loss: 0.0148 (0.0150) loss_rec_all: 0.0513 (0.0512) loss_rec_sfr: 0.0552 (0.0736) loss_cl: -0.3675 (-0.3672) time: 0.8648 data: 0.0003 max mem: 29859 [22:37:16.731794] Epoch: [327] [120/850] eta: 0:11:02 lr: 0.001649 loss: 0.0147 (0.0151) loss_rec_all: 0.0507 (0.0513) loss_rec_sfr: 0.0734 (0.0742) loss_cl: -0.3676 (-0.3672) time: 0.8650 data: 0.0003 max mem: 29859 [22:37:34.076521] Epoch: [327] [140/850] eta: 0:10:40 lr: 0.001649 loss: 0.0142 (0.0150) loss_rec_all: 0.0505 (0.0512) loss_rec_sfr: 0.0724 (0.0743) loss_cl: -0.3671 (-0.3672) time: 0.8671 data: 0.0003 max mem: 29859 [22:37:51.389136] Epoch: [327] [160/850] eta: 0:10:18 lr: 0.001649 loss: 0.0146 (0.0150) loss_rec_all: 0.0507 (0.0512) loss_rec_sfr: 0.0745 (0.0746) loss_cl: -0.3668 (-0.3671) time: 0.8656 data: 0.0003 max mem: 29859 [22:38:08.661722] Epoch: [327] [180/850] eta: 0:09:58 lr: 0.001649 loss: 0.0134 (0.0149) loss_rec_all: 0.0497 (0.0511) loss_rec_sfr: 0.0542 (0.0734) loss_cl: -0.3673 (-0.3671) time: 0.8636 data: 0.0002 max mem: 29859 [22:38:26.050527] Epoch: [327] [200/850] eta: 0:09:39 lr: 0.001649 loss: 0.0130 (0.0148) loss_rec_all: 0.0493 (0.0510) loss_rec_sfr: 0.0614 (0.0730) loss_cl: -0.3674 (-0.3672) time: 0.8694 data: 0.0003 max mem: 29859 [22:38:43.338231] Epoch: [327] [220/850] eta: 0:09:19 lr: 0.001649 loss: 0.0132 (0.0147) loss_rec_all: 0.0496 (0.0509) loss_rec_sfr: 0.0512 (0.0722) loss_cl: -0.3678 (-0.3672) time: 0.8643 data: 0.0002 max mem: 29859 [22:39:00.663422] Epoch: [327] [240/850] eta: 0:09:00 lr: 0.001649 loss: 0.0146 (0.0147) loss_rec_all: 0.0505 (0.0509) loss_rec_sfr: 0.0754 (0.0727) loss_cl: -0.3678 (-0.3672) time: 0.8662 data: 0.0002 max mem: 29859 [22:39:17.981491] Epoch: [327] [260/850] eta: 0:08:42 lr: 0.001649 loss: 0.0131 (0.0147) loss_rec_all: 0.0495 (0.0509) loss_rec_sfr: 0.0534 (0.0721) loss_cl: -0.3675 (-0.3673) time: 0.8658 data: 0.0003 max mem: 29859 [22:39:35.309847] Epoch: [327] [280/850] eta: 0:08:23 lr: 0.001649 loss: 0.0126 (0.0146) loss_rec_all: 0.0489 (0.0508) loss_rec_sfr: 0.0550 (0.0723) loss_cl: -0.3677 (-0.3673) time: 0.8664 data: 0.0003 max mem: 29859 [22:39:52.594445] Epoch: [327] [300/850] eta: 0:08:05 lr: 0.001648 loss: 0.0153 (0.0146) loss_rec_all: 0.0514 (0.0508) loss_rec_sfr: 0.0724 (0.0722) loss_cl: -0.3672 (-0.3673) time: 0.8642 data: 0.0003 max mem: 29859 [22:40:09.934596] Epoch: [327] [320/850] eta: 0:07:47 lr: 0.001648 loss: 0.0140 (0.0146) loss_rec_all: 0.0504 (0.0509) loss_rec_sfr: 0.0705 (0.0722) loss_cl: -0.3679 (-0.3673) time: 0.8669 data: 0.0003 max mem: 29859 [22:40:27.247539] Epoch: [327] [340/850] eta: 0:07:29 lr: 0.001648 loss: 0.0143 (0.0147) loss_rec_all: 0.0505 (0.0509) loss_rec_sfr: 0.0723 (0.0720) loss_cl: -0.3679 (-0.3673) time: 0.8656 data: 0.0003 max mem: 29859 [22:40:44.590331] Epoch: [327] [360/850] eta: 0:07:11 lr: 0.001648 loss: 0.0154 (0.0148) loss_rec_all: 0.0516 (0.0510) loss_rec_sfr: 0.0835 (0.0728) loss_cl: -0.3676 (-0.3674) time: 0.8671 data: 0.0003 max mem: 29859 [22:41:01.844469] Epoch: [327] [380/850] eta: 0:06:53 lr: 0.001648 loss: 0.0160 (0.0148) loss_rec_all: 0.0521 (0.0511) loss_rec_sfr: 0.0732 (0.0729) loss_cl: -0.3666 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [22:41:19.194213] Epoch: [327] [400/850] eta: 0:06:35 lr: 0.001648 loss: 0.0150 (0.0149) loss_rec_all: 0.0511 (0.0511) loss_rec_sfr: 0.0599 (0.0728) loss_cl: -0.3670 (-0.3673) time: 0.8674 data: 0.0003 max mem: 29859 [22:41:36.481706] Epoch: [327] [420/850] eta: 0:06:17 lr: 0.001648 loss: 0.0163 (0.0150) loss_rec_all: 0.0526 (0.0512) loss_rec_sfr: 0.0554 (0.0725) loss_cl: -0.3667 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [22:41:53.792658] Epoch: [327] [440/850] eta: 0:05:59 lr: 0.001648 loss: 0.0157 (0.0150) loss_rec_all: 0.0518 (0.0513) loss_rec_sfr: 0.0617 (0.0728) loss_cl: -0.3676 (-0.3673) time: 0.8655 data: 0.0003 max mem: 29859 [22:42:11.090054] Epoch: [327] [460/850] eta: 0:05:41 lr: 0.001648 loss: 0.0140 (0.0150) loss_rec_all: 0.0503 (0.0512) loss_rec_sfr: 0.0511 (0.0726) loss_cl: -0.3676 (-0.3673) time: 0.8648 data: 0.0003 max mem: 29859 [22:42:28.430592] Epoch: [327] [480/850] eta: 0:05:24 lr: 0.001647 loss: 0.0152 (0.0150) loss_rec_all: 0.0511 (0.0513) loss_rec_sfr: 0.0726 (0.0727) loss_cl: -0.3675 (-0.3673) time: 0.8670 data: 0.0003 max mem: 29859 [22:42:45.683234] Epoch: [327] [500/850] eta: 0:05:06 lr: 0.001647 loss: 0.0136 (0.0150) loss_rec_all: 0.0501 (0.0512) loss_rec_sfr: 0.0507 (0.0725) loss_cl: -0.3677 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [22:43:03.028002] Epoch: [327] [520/850] eta: 0:04:48 lr: 0.001647 loss: 0.0140 (0.0150) loss_rec_all: 0.0505 (0.0512) loss_rec_sfr: 0.0733 (0.0726) loss_cl: -0.3681 (-0.3673) time: 0.8671 data: 0.0003 max mem: 29859 [22:43:20.304958] Epoch: [327] [540/850] eta: 0:04:31 lr: 0.001647 loss: 0.0137 (0.0150) loss_rec_all: 0.0502 (0.0512) loss_rec_sfr: 0.0542 (0.0724) loss_cl: -0.3681 (-0.3674) time: 0.8637 data: 0.0003 max mem: 29859 [22:43:37.605319] Epoch: [327] [560/850] eta: 0:04:13 lr: 0.001647 loss: 0.0132 (0.0149) loss_rec_all: 0.0495 (0.0512) loss_rec_sfr: 0.0759 (0.0724) loss_cl: -0.3676 (-0.3674) time: 0.8649 data: 0.0002 max mem: 29859 [22:43:54.891753] Epoch: [327] [580/850] eta: 0:03:56 lr: 0.001647 loss: 0.0143 (0.0149) loss_rec_all: 0.0503 (0.0511) loss_rec_sfr: 0.0547 (0.0722) loss_cl: -0.3674 (-0.3674) time: 0.8643 data: 0.0003 max mem: 29859 [22:44:12.196505] Epoch: [327] [600/850] eta: 0:03:38 lr: 0.001647 loss: 0.0147 (0.0149) loss_rec_all: 0.0508 (0.0512) loss_rec_sfr: 0.0536 (0.0719) loss_cl: -0.3673 (-0.3674) time: 0.8652 data: 0.0002 max mem: 29859 [22:44:29.442873] Epoch: [327] [620/850] eta: 0:03:20 lr: 0.001647 loss: 0.0150 (0.0150) loss_rec_all: 0.0513 (0.0512) loss_rec_sfr: 0.0833 (0.0722) loss_cl: -0.3672 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [22:44:46.778841] Epoch: [327] [640/850] eta: 0:03:03 lr: 0.001647 loss: 0.0157 (0.0150) loss_rec_all: 0.0520 (0.0512) loss_rec_sfr: 0.0601 (0.0722) loss_cl: -0.3671 (-0.3673) time: 0.8667 data: 0.0003 max mem: 29859 [22:45:04.027194] Epoch: [327] [660/850] eta: 0:02:45 lr: 0.001646 loss: 0.0161 (0.0151) loss_rec_all: 0.0523 (0.0513) loss_rec_sfr: 0.0571 (0.0722) loss_cl: -0.3670 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [22:45:21.321608] Epoch: [327] [680/850] eta: 0:02:28 lr: 0.001646 loss: 0.0150 (0.0151) loss_rec_all: 0.0513 (0.0513) loss_rec_sfr: 0.0553 (0.0721) loss_cl: -0.3672 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [22:45:38.641939] Epoch: [327] [700/850] eta: 0:02:10 lr: 0.001646 loss: 0.0161 (0.0151) loss_rec_all: 0.0521 (0.0514) loss_rec_sfr: 0.0783 (0.0723) loss_cl: -0.3676 (-0.3673) time: 0.8660 data: 0.0003 max mem: 29859 [22:45:55.986867] Epoch: [327] [720/850] eta: 0:01:53 lr: 0.001646 loss: 0.0151 (0.0152) loss_rec_all: 0.0515 (0.0514) loss_rec_sfr: 0.0559 (0.0723) loss_cl: -0.3676 (-0.3673) time: 0.8672 data: 0.0004 max mem: 29859 [22:46:13.287239] Epoch: [327] [740/850] eta: 0:01:35 lr: 0.001646 loss: 0.0144 (0.0152) loss_rec_all: 0.0509 (0.0514) loss_rec_sfr: 0.0737 (0.0723) loss_cl: -0.3676 (-0.3674) time: 0.8650 data: 0.0003 max mem: 29859 [22:46:30.619985] Epoch: [327] [760/850] eta: 0:01:18 lr: 0.001646 loss: 0.0136 (0.0152) loss_rec_all: 0.0500 (0.0514) loss_rec_sfr: 0.0541 (0.0720) loss_cl: -0.3675 (-0.3674) time: 0.8666 data: 0.0003 max mem: 29859 [22:46:47.895145] Epoch: [327] [780/850] eta: 0:01:01 lr: 0.001646 loss: 0.0148 (0.0151) loss_rec_all: 0.0509 (0.0514) loss_rec_sfr: 0.0579 (0.0721) loss_cl: -0.3674 (-0.3674) time: 0.8637 data: 0.0003 max mem: 29859 [22:47:05.185015] Epoch: [327] [800/850] eta: 0:00:43 lr: 0.001646 loss: 0.0144 (0.0151) loss_rec_all: 0.0503 (0.0514) loss_rec_sfr: 0.0741 (0.0721) loss_cl: -0.3667 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [22:47:22.453345] Epoch: [327] [820/850] eta: 0:00:26 lr: 0.001646 loss: 0.0124 (0.0151) loss_rec_all: 0.0488 (0.0513) loss_rec_sfr: 0.0483 (0.0718) loss_cl: -0.3675 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [22:47:39.766909] Epoch: [327] [840/850] eta: 0:00:08 lr: 0.001645 loss: 0.0143 (0.0151) loss_rec_all: 0.0507 (0.0513) loss_rec_sfr: 0.0695 (0.0718) loss_cl: -0.3675 (-0.3673) time: 0.8656 data: 0.0007 max mem: 29859 [22:47:47.549303] Epoch: [327] [849/850] eta: 0:00:00 lr: 0.001645 loss: 0.0158 (0.0151) loss_rec_all: 0.0518 (0.0514) loss_rec_sfr: 0.0739 (0.0719) loss_cl: -0.3673 (-0.3673) time: 0.8660 data: 0.0007 max mem: 29859 [22:47:47.725313] Epoch: [327] Total time: 0:12:20 (0.8715 s / it) [22:47:47.727458] Averaged stats: lr: 0.001645 loss: 0.0158 (0.0151) loss_rec_all: 0.0518 (0.0514) loss_rec_sfr: 0.0739 (0.0709) loss_cl: -0.3673 (-0.3673) [22:47:47.748220] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [22:47:55.187604] Epoch: [328] [ 0/850] eta: 1:45:22 lr: 0.001645 loss: 0.0142 (0.0142) loss_rec_all: 0.0505 (0.0505) loss_rec_sfr: 0.0502 (0.0502) loss_cl: -0.3666 (-0.3666) time: 7.4382 data: 6.3182 max mem: 29859 [22:48:12.405466] Epoch: [328] [ 20/850] eta: 0:16:14 lr: 0.001645 loss: 0.0146 (0.0150) loss_rec_all: 0.0506 (0.0511) loss_rec_sfr: 0.0715 (0.0759) loss_cl: -0.3668 (-0.3668) time: 0.8608 data: 0.0003 max mem: 29859 [22:48:29.664918] Epoch: [328] [ 40/850] eta: 0:13:48 lr: 0.001645 loss: 0.0139 (0.0147) loss_rec_all: 0.0502 (0.0509) loss_rec_sfr: 0.0542 (0.0702) loss_cl: -0.3667 (-0.3668) time: 0.8629 data: 0.0003 max mem: 29859 [22:48:46.954119] Epoch: [328] [ 60/850] eta: 0:12:46 lr: 0.001645 loss: 0.0152 (0.0152) loss_rec_all: 0.0512 (0.0514) loss_rec_sfr: 0.0788 (0.0730) loss_cl: -0.3668 (-0.3668) time: 0.8644 data: 0.0002 max mem: 29859 [22:49:04.256378] Epoch: [328] [ 80/850] eta: 0:12:07 lr: 0.001645 loss: 0.0143 (0.0151) loss_rec_all: 0.0504 (0.0513) loss_rec_sfr: 0.0543 (0.0712) loss_cl: -0.3674 (-0.3670) time: 0.8651 data: 0.0002 max mem: 29859 [22:49:21.523705] Epoch: [328] [100/850] eta: 0:11:36 lr: 0.001645 loss: 0.0143 (0.0151) loss_rec_all: 0.0507 (0.0513) loss_rec_sfr: 0.0624 (0.0719) loss_cl: -0.3679 (-0.3672) time: 0.8633 data: 0.0003 max mem: 29859 [22:49:38.817396] Epoch: [328] [120/850] eta: 0:11:10 lr: 0.001645 loss: 0.0147 (0.0153) loss_rec_all: 0.0511 (0.0515) loss_rec_sfr: 0.0767 (0.0725) loss_cl: -0.3678 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [22:49:56.090849] Epoch: [328] [140/850] eta: 0:10:46 lr: 0.001645 loss: 0.0135 (0.0152) loss_rec_all: 0.0499 (0.0514) loss_rec_sfr: 0.0554 (0.0723) loss_cl: -0.3677 (-0.3673) time: 0.8636 data: 0.0003 max mem: 29859 [22:50:13.390587] Epoch: [328] [160/850] eta: 0:10:24 lr: 0.001645 loss: 0.0150 (0.0152) loss_rec_all: 0.0512 (0.0514) loss_rec_sfr: 0.0706 (0.0725) loss_cl: -0.3677 (-0.3673) time: 0.8649 data: 0.0003 max mem: 29859 [22:50:30.642533] Epoch: [328] [180/850] eta: 0:10:02 lr: 0.001644 loss: 0.0144 (0.0151) loss_rec_all: 0.0505 (0.0513) loss_rec_sfr: 0.0893 (0.0736) loss_cl: -0.3670 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [22:50:47.920575] Epoch: [328] [200/850] eta: 0:09:42 lr: 0.001644 loss: 0.0139 (0.0151) loss_rec_all: 0.0502 (0.0513) loss_rec_sfr: 0.0603 (0.0733) loss_cl: -0.3665 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [22:51:05.177223] Epoch: [328] [220/850] eta: 0:09:22 lr: 0.001644 loss: 0.0145 (0.0151) loss_rec_all: 0.0507 (0.0513) loss_rec_sfr: 0.0692 (0.0729) loss_cl: -0.3672 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [22:51:22.494348] Epoch: [328] [240/850] eta: 0:09:03 lr: 0.001644 loss: 0.0150 (0.0151) loss_rec_all: 0.0512 (0.0514) loss_rec_sfr: 0.0817 (0.0735) loss_cl: -0.3677 (-0.3672) time: 0.8658 data: 0.0003 max mem: 29859 [22:51:39.784416] Epoch: [328] [260/850] eta: 0:08:44 lr: 0.001644 loss: 0.0147 (0.0151) loss_rec_all: 0.0509 (0.0513) loss_rec_sfr: 0.0850 (0.0740) loss_cl: -0.3679 (-0.3673) time: 0.8644 data: 0.0003 max mem: 29859 [22:51:57.111684] Epoch: [328] [280/850] eta: 0:08:25 lr: 0.001644 loss: 0.0137 (0.0151) loss_rec_all: 0.0501 (0.0513) loss_rec_sfr: 0.0540 (0.0732) loss_cl: -0.3673 (-0.3673) time: 0.8663 data: 0.0002 max mem: 29859 [22:52:14.366878] Epoch: [328] [300/850] eta: 0:08:07 lr: 0.001644 loss: 0.0140 (0.0150) loss_rec_all: 0.0503 (0.0512) loss_rec_sfr: 0.0566 (0.0732) loss_cl: -0.3671 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [22:52:31.694128] Epoch: [328] [320/850] eta: 0:07:48 lr: 0.001644 loss: 0.0142 (0.0150) loss_rec_all: 0.0506 (0.0512) loss_rec_sfr: 0.0530 (0.0729) loss_cl: -0.3672 (-0.3673) time: 0.8663 data: 0.0002 max mem: 29859 [22:52:48.949095] Epoch: [328] [340/850] eta: 0:07:30 lr: 0.001644 loss: 0.0144 (0.0151) loss_rec_all: 0.0507 (0.0513) loss_rec_sfr: 0.0814 (0.0733) loss_cl: -0.3674 (-0.3673) time: 0.8627 data: 0.0003 max mem: 29859 [22:53:06.234883] Epoch: [328] [360/850] eta: 0:07:12 lr: 0.001643 loss: 0.0132 (0.0150) loss_rec_all: 0.0496 (0.0512) loss_rec_sfr: 0.0519 (0.0727) loss_cl: -0.3675 (-0.3673) time: 0.8642 data: 0.0003 max mem: 29859 [22:53:23.536648] Epoch: [328] [380/850] eta: 0:06:54 lr: 0.001643 loss: 0.0136 (0.0149) loss_rec_all: 0.0497 (0.0511) loss_rec_sfr: 0.0537 (0.0723) loss_cl: -0.3673 (-0.3673) time: 0.8650 data: 0.0003 max mem: 29859 [22:53:40.816104] Epoch: [328] [400/850] eta: 0:06:36 lr: 0.001643 loss: 0.0135 (0.0149) loss_rec_all: 0.0500 (0.0511) loss_rec_sfr: 0.0509 (0.0719) loss_cl: -0.3674 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [22:53:58.110538] Epoch: [328] [420/850] eta: 0:06:18 lr: 0.001643 loss: 0.0144 (0.0149) loss_rec_all: 0.0508 (0.0511) loss_rec_sfr: 0.0547 (0.0718) loss_cl: -0.3675 (-0.3673) time: 0.8646 data: 0.0003 max mem: 29859 [22:54:15.437162] Epoch: [328] [440/850] eta: 0:06:00 lr: 0.001643 loss: 0.0131 (0.0149) loss_rec_all: 0.0495 (0.0511) loss_rec_sfr: 0.0537 (0.0713) loss_cl: -0.3676 (-0.3673) time: 0.8663 data: 0.0003 max mem: 29859 [22:54:32.694754] Epoch: [328] [460/850] eta: 0:05:42 lr: 0.001643 loss: 0.0131 (0.0148) loss_rec_all: 0.0494 (0.0510) loss_rec_sfr: 0.0517 (0.0710) loss_cl: -0.3674 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [22:54:50.027053] Epoch: [328] [480/850] eta: 0:05:24 lr: 0.001643 loss: 0.0142 (0.0148) loss_rec_all: 0.0504 (0.0510) loss_rec_sfr: 0.0540 (0.0710) loss_cl: -0.3675 (-0.3673) time: 0.8665 data: 0.0003 max mem: 29859 [22:55:07.290554] Epoch: [328] [500/850] eta: 0:05:07 lr: 0.001643 loss: 0.0132 (0.0148) loss_rec_all: 0.0495 (0.0510) loss_rec_sfr: 0.0538 (0.0709) loss_cl: -0.3669 (-0.3673) time: 0.8631 data: 0.0003 max mem: 29859 [22:55:24.585467] Epoch: [328] [520/850] eta: 0:04:49 lr: 0.001643 loss: 0.0135 (0.0147) loss_rec_all: 0.0499 (0.0510) loss_rec_sfr: 0.0554 (0.0709) loss_cl: -0.3669 (-0.3673) time: 0.8647 data: 0.0003 max mem: 29859 [22:55:41.875265] Epoch: [328] [540/850] eta: 0:04:31 lr: 0.001643 loss: 0.0137 (0.0147) loss_rec_all: 0.0500 (0.0509) loss_rec_sfr: 0.0663 (0.0710) loss_cl: -0.3678 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [22:55:59.195529] Epoch: [328] [560/850] eta: 0:04:14 lr: 0.001642 loss: 0.0144 (0.0147) loss_rec_all: 0.0508 (0.0509) loss_rec_sfr: 0.0567 (0.0712) loss_cl: -0.3679 (-0.3673) time: 0.8660 data: 0.0003 max mem: 29859 [22:56:16.452415] Epoch: [328] [580/850] eta: 0:03:56 lr: 0.001642 loss: 0.0140 (0.0147) loss_rec_all: 0.0505 (0.0509) loss_rec_sfr: 0.0539 (0.0710) loss_cl: -0.3680 (-0.3673) time: 0.8628 data: 0.0003 max mem: 29859 [22:56:33.796013] Epoch: [328] [600/850] eta: 0:03:38 lr: 0.001642 loss: 0.0146 (0.0147) loss_rec_all: 0.0508 (0.0509) loss_rec_sfr: 0.0728 (0.0711) loss_cl: -0.3676 (-0.3673) time: 0.8671 data: 0.0003 max mem: 29859 [22:56:51.061671] Epoch: [328] [620/850] eta: 0:03:21 lr: 0.001642 loss: 0.0141 (0.0147) loss_rec_all: 0.0503 (0.0510) loss_rec_sfr: 0.0743 (0.0712) loss_cl: -0.3672 (-0.3673) time: 0.8632 data: 0.0003 max mem: 29859 [22:57:08.354398] Epoch: [328] [640/850] eta: 0:03:03 lr: 0.001642 loss: 0.0134 (0.0147) loss_rec_all: 0.0497 (0.0509) loss_rec_sfr: 0.0522 (0.0709) loss_cl: -0.3671 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [22:57:25.626982] Epoch: [328] [660/850] eta: 0:02:46 lr: 0.001642 loss: 0.0147 (0.0147) loss_rec_all: 0.0511 (0.0509) loss_rec_sfr: 0.0528 (0.0707) loss_cl: -0.3671 (-0.3673) time: 0.8636 data: 0.0003 max mem: 29859 [22:57:42.954652] Epoch: [328] [680/850] eta: 0:02:28 lr: 0.001642 loss: 0.0144 (0.0147) loss_rec_all: 0.0506 (0.0510) loss_rec_sfr: 0.0724 (0.0709) loss_cl: -0.3674 (-0.3673) time: 0.8663 data: 0.0003 max mem: 29859 [22:58:00.207833] Epoch: [328] [700/850] eta: 0:02:11 lr: 0.001642 loss: 0.0131 (0.0147) loss_rec_all: 0.0495 (0.0509) loss_rec_sfr: 0.0568 (0.0709) loss_cl: -0.3675 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [22:58:17.518631] Epoch: [328] [720/850] eta: 0:01:53 lr: 0.001642 loss: 0.0149 (0.0147) loss_rec_all: 0.0511 (0.0510) loss_rec_sfr: 0.0644 (0.0710) loss_cl: -0.3680 (-0.3673) time: 0.8655 data: 0.0002 max mem: 29859 [22:58:34.801908] Epoch: [328] [740/850] eta: 0:01:36 lr: 0.001641 loss: 0.0153 (0.0148) loss_rec_all: 0.0513 (0.0510) loss_rec_sfr: 0.0846 (0.0713) loss_cl: -0.3681 (-0.3674) time: 0.8641 data: 0.0003 max mem: 29859 [22:58:52.089840] Epoch: [328] [760/850] eta: 0:01:18 lr: 0.001641 loss: 0.0159 (0.0148) loss_rec_all: 0.0522 (0.0511) loss_rec_sfr: 0.0903 (0.0718) loss_cl: -0.3674 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [22:59:09.378388] Epoch: [328] [780/850] eta: 0:01:01 lr: 0.001641 loss: 0.0171 (0.0149) loss_rec_all: 0.0532 (0.0511) loss_rec_sfr: 0.0766 (0.0719) loss_cl: -0.3669 (-0.3673) time: 0.8644 data: 0.0003 max mem: 29859 [22:59:26.731128] Epoch: [328] [800/850] eta: 0:00:43 lr: 0.001641 loss: 0.0158 (0.0149) loss_rec_all: 0.0519 (0.0512) loss_rec_sfr: 0.0689 (0.0721) loss_cl: -0.3662 (-0.3673) time: 0.8676 data: 0.0003 max mem: 29859 [22:59:43.984893] Epoch: [328] [820/850] eta: 0:00:26 lr: 0.001641 loss: 0.0168 (0.0150) loss_rec_all: 0.0527 (0.0512) loss_rec_sfr: 0.0769 (0.0722) loss_cl: -0.3666 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [23:00:01.287568] Epoch: [328] [840/850] eta: 0:00:08 lr: 0.001641 loss: 0.0162 (0.0150) loss_rec_all: 0.0524 (0.0512) loss_rec_sfr: 0.0783 (0.0724) loss_cl: -0.3671 (-0.3673) time: 0.8651 data: 0.0004 max mem: 29859 [23:00:09.094290] Epoch: [328] [849/850] eta: 0:00:00 lr: 0.001641 loss: 0.0176 (0.0150) loss_rec_all: 0.0535 (0.0513) loss_rec_sfr: 0.0763 (0.0724) loss_cl: -0.3673 (-0.3673) time: 0.8673 data: 0.0004 max mem: 29859 [23:00:09.250253] Epoch: [328] Total time: 0:12:21 (0.8724 s / it) [23:00:09.257875] Averaged stats: lr: 0.001641 loss: 0.0176 (0.0151) loss_rec_all: 0.0535 (0.0513) loss_rec_sfr: 0.0763 (0.0725) loss_cl: -0.3673 (-0.3673) [23:00:09.275580] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [23:00:14.991882] Epoch: [329] [ 0/850] eta: 1:20:58 lr: 0.001641 loss: 0.0153 (0.0153) loss_rec_all: 0.0517 (0.0517) loss_rec_sfr: 0.0558 (0.0558) loss_cl: -0.3673 (-0.3673) time: 5.7154 data: 4.8598 max mem: 29859 [23:00:32.194852] Epoch: [329] [ 20/850] eta: 0:15:05 lr: 0.001641 loss: 0.0140 (0.0153) loss_rec_all: 0.0505 (0.0516) loss_rec_sfr: 0.0541 (0.0653) loss_cl: -0.3677 (-0.3676) time: 0.8601 data: 0.0002 max mem: 29859 [23:00:49.482859] Epoch: [329] [ 40/850] eta: 0:13:14 lr: 0.001641 loss: 0.0138 (0.0151) loss_rec_all: 0.0502 (0.0514) loss_rec_sfr: 0.0819 (0.0716) loss_cl: -0.3680 (-0.3678) time: 0.8643 data: 0.0002 max mem: 29859 [23:01:06.790244] Epoch: [329] [ 60/850] eta: 0:12:24 lr: 0.001641 loss: 0.0153 (0.0154) loss_rec_all: 0.0518 (0.0516) loss_rec_sfr: 0.0732 (0.0711) loss_cl: -0.3684 (-0.3679) time: 0.8653 data: 0.0006 max mem: 29859 [23:01:24.086995] Epoch: [329] [ 80/850] eta: 0:11:51 lr: 0.001640 loss: 0.0141 (0.0151) loss_rec_all: 0.0505 (0.0514) loss_rec_sfr: 0.0529 (0.0690) loss_cl: -0.3679 (-0.3679) time: 0.8648 data: 0.0002 max mem: 29859 [23:01:41.331114] Epoch: [329] [100/850] eta: 0:11:23 lr: 0.001640 loss: 0.0136 (0.0150) loss_rec_all: 0.0499 (0.0512) loss_rec_sfr: 0.0536 (0.0703) loss_cl: -0.3673 (-0.3678) time: 0.8622 data: 0.0002 max mem: 29859 [23:01:58.679698] Epoch: [329] [120/850] eta: 0:10:59 lr: 0.001640 loss: 0.0131 (0.0148) loss_rec_all: 0.0494 (0.0511) loss_rec_sfr: 0.0539 (0.0701) loss_cl: -0.3673 (-0.3677) time: 0.8674 data: 0.0003 max mem: 29859 [23:02:15.952248] Epoch: [329] [140/850] eta: 0:10:37 lr: 0.001640 loss: 0.0124 (0.0146) loss_rec_all: 0.0488 (0.0509) loss_rec_sfr: 0.0545 (0.0696) loss_cl: -0.3668 (-0.3675) time: 0.8636 data: 0.0003 max mem: 29859 [23:02:33.271854] Epoch: [329] [160/850] eta: 0:10:17 lr: 0.001640 loss: 0.0140 (0.0146) loss_rec_all: 0.0499 (0.0508) loss_rec_sfr: 0.0744 (0.0709) loss_cl: -0.3673 (-0.3675) time: 0.8659 data: 0.0003 max mem: 29859 [23:02:50.548431] Epoch: [329] [180/850] eta: 0:09:56 lr: 0.001640 loss: 0.0150 (0.0147) loss_rec_all: 0.0514 (0.0509) loss_rec_sfr: 0.0741 (0.0713) loss_cl: -0.3672 (-0.3675) time: 0.8638 data: 0.0003 max mem: 29859 [23:03:07.878871] Epoch: [329] [200/850] eta: 0:09:37 lr: 0.001640 loss: 0.0139 (0.0147) loss_rec_all: 0.0502 (0.0509) loss_rec_sfr: 0.0750 (0.0719) loss_cl: -0.3679 (-0.3675) time: 0.8665 data: 0.0003 max mem: 29859 [23:03:25.170631] Epoch: [329] [220/850] eta: 0:09:18 lr: 0.001640 loss: 0.0150 (0.0148) loss_rec_all: 0.0512 (0.0510) loss_rec_sfr: 0.0732 (0.0719) loss_cl: -0.3678 (-0.3675) time: 0.8645 data: 0.0003 max mem: 29859 [23:03:42.528992] Epoch: [329] [240/850] eta: 0:08:59 lr: 0.001640 loss: 0.0130 (0.0147) loss_rec_all: 0.0495 (0.0510) loss_rec_sfr: 0.0512 (0.0711) loss_cl: -0.3682 (-0.3675) time: 0.8678 data: 0.0003 max mem: 29859 [23:03:59.847986] Epoch: [329] [260/850] eta: 0:08:41 lr: 0.001639 loss: 0.0129 (0.0147) loss_rec_all: 0.0494 (0.0509) loss_rec_sfr: 0.0546 (0.0710) loss_cl: -0.3676 (-0.3675) time: 0.8659 data: 0.0008 max mem: 29859 [23:04:17.162584] Epoch: [329] [280/850] eta: 0:08:22 lr: 0.001639 loss: 0.0136 (0.0146) loss_rec_all: 0.0496 (0.0509) loss_rec_sfr: 0.0700 (0.0709) loss_cl: -0.3671 (-0.3675) time: 0.8657 data: 0.0002 max mem: 29859 [23:04:34.463210] Epoch: [329] [300/850] eta: 0:08:04 lr: 0.001639 loss: 0.0139 (0.0146) loss_rec_all: 0.0503 (0.0509) loss_rec_sfr: 0.0769 (0.0714) loss_cl: -0.3670 (-0.3675) time: 0.8650 data: 0.0003 max mem: 29859 [23:04:51.795980] Epoch: [329] [320/850] eta: 0:07:46 lr: 0.001639 loss: 0.0147 (0.0146) loss_rec_all: 0.0506 (0.0509) loss_rec_sfr: 0.0784 (0.0721) loss_cl: -0.3669 (-0.3674) time: 0.8666 data: 0.0003 max mem: 29859 [23:05:09.062287] Epoch: [329] [340/850] eta: 0:07:28 lr: 0.001639 loss: 0.0143 (0.0147) loss_rec_all: 0.0506 (0.0509) loss_rec_sfr: 0.0544 (0.0717) loss_cl: -0.3668 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [23:05:26.425705] Epoch: [329] [360/850] eta: 0:07:10 lr: 0.001639 loss: 0.0137 (0.0147) loss_rec_all: 0.0499 (0.0509) loss_rec_sfr: 0.0542 (0.0714) loss_cl: -0.3673 (-0.3674) time: 0.8681 data: 0.0004 max mem: 29859 [23:05:43.727611] Epoch: [329] [380/850] eta: 0:06:52 lr: 0.001639 loss: 0.0144 (0.0147) loss_rec_all: 0.0508 (0.0509) loss_rec_sfr: 0.0560 (0.0713) loss_cl: -0.3675 (-0.3674) time: 0.8650 data: 0.0003 max mem: 29859 [23:06:01.053907] Epoch: [329] [400/850] eta: 0:06:34 lr: 0.001639 loss: 0.0148 (0.0147) loss_rec_all: 0.0509 (0.0510) loss_rec_sfr: 0.0549 (0.0716) loss_cl: -0.3675 (-0.3674) time: 0.8663 data: 0.0003 max mem: 29859 [23:06:18.325177] Epoch: [329] [420/850] eta: 0:06:16 lr: 0.001639 loss: 0.0148 (0.0147) loss_rec_all: 0.0512 (0.0510) loss_rec_sfr: 0.0747 (0.0719) loss_cl: -0.3674 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [23:06:35.622892] Epoch: [329] [440/850] eta: 0:05:59 lr: 0.001638 loss: 0.0151 (0.0148) loss_rec_all: 0.0514 (0.0510) loss_rec_sfr: 0.0743 (0.0720) loss_cl: -0.3672 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [23:06:52.891568] Epoch: [329] [460/850] eta: 0:05:41 lr: 0.001638 loss: 0.0138 (0.0148) loss_rec_all: 0.0501 (0.0510) loss_rec_sfr: 0.0532 (0.0716) loss_cl: -0.3671 (-0.3674) time: 0.8634 data: 0.0003 max mem: 29859 [23:07:10.189500] Epoch: [329] [480/850] eta: 0:05:23 lr: 0.001638 loss: 0.0166 (0.0149) loss_rec_all: 0.0525 (0.0511) loss_rec_sfr: 0.0719 (0.0718) loss_cl: -0.3676 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [23:07:27.468745] Epoch: [329] [500/850] eta: 0:05:06 lr: 0.001638 loss: 0.0145 (0.0149) loss_rec_all: 0.0507 (0.0511) loss_rec_sfr: 0.0728 (0.0721) loss_cl: -0.3676 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [23:07:44.797907] Epoch: [329] [520/850] eta: 0:04:48 lr: 0.001638 loss: 0.0140 (0.0149) loss_rec_all: 0.0504 (0.0511) loss_rec_sfr: 0.0688 (0.0720) loss_cl: -0.3672 (-0.3674) time: 0.8664 data: 0.0002 max mem: 29859 [23:08:03.247605] Epoch: [329] [540/850] eta: 0:04:31 lr: 0.001638 loss: 0.0149 (0.0149) loss_rec_all: 0.0512 (0.0511) loss_rec_sfr: 0.0718 (0.0721) loss_cl: -0.3673 (-0.3674) time: 0.9224 data: 0.0002 max mem: 29859 [23:08:21.577915] Epoch: [329] [560/850] eta: 0:04:14 lr: 0.001638 loss: 0.0156 (0.0149) loss_rec_all: 0.0516 (0.0512) loss_rec_sfr: 0.0722 (0.0723) loss_cl: -0.3679 (-0.3674) time: 0.9165 data: 0.0003 max mem: 29859 [23:08:39.027007] Epoch: [329] [580/850] eta: 0:03:56 lr: 0.001638 loss: 0.0137 (0.0149) loss_rec_all: 0.0501 (0.0511) loss_rec_sfr: 0.0556 (0.0721) loss_cl: -0.3677 (-0.3674) time: 0.8724 data: 0.0002 max mem: 29859 [23:08:57.515548] Epoch: [329] [600/850] eta: 0:03:39 lr: 0.001638 loss: 0.0149 (0.0149) loss_rec_all: 0.0509 (0.0511) loss_rec_sfr: 0.0734 (0.0723) loss_cl: -0.3677 (-0.3674) time: 0.9244 data: 0.0003 max mem: 29859 [23:09:15.616176] Epoch: [329] [620/850] eta: 0:03:22 lr: 0.001637 loss: 0.0139 (0.0149) loss_rec_all: 0.0503 (0.0511) loss_rec_sfr: 0.0510 (0.0722) loss_cl: -0.3678 (-0.3674) time: 0.9050 data: 0.0004 max mem: 29859 [23:09:34.398572] Epoch: [329] [640/850] eta: 0:03:05 lr: 0.001637 loss: 0.0140 (0.0149) loss_rec_all: 0.0502 (0.0511) loss_rec_sfr: 0.0766 (0.0725) loss_cl: -0.3675 (-0.3674) time: 0.9391 data: 0.0003 max mem: 29859 [23:09:52.235657] Epoch: [329] [660/850] eta: 0:02:47 lr: 0.001637 loss: 0.0141 (0.0149) loss_rec_all: 0.0505 (0.0511) loss_rec_sfr: 0.0551 (0.0724) loss_cl: -0.3667 (-0.3674) time: 0.8918 data: 0.0224 max mem: 29859 [23:10:09.854882] Epoch: [329] [680/850] eta: 0:02:29 lr: 0.001637 loss: 0.0147 (0.0149) loss_rec_all: 0.0510 (0.0511) loss_rec_sfr: 0.0737 (0.0724) loss_cl: -0.3671 (-0.3674) time: 0.8808 data: 0.0003 max mem: 29859 [23:10:29.881140] Epoch: [329] [700/850] eta: 0:02:12 lr: 0.001637 loss: 0.0134 (0.0149) loss_rec_all: 0.0498 (0.0511) loss_rec_sfr: 0.0525 (0.0721) loss_cl: -0.3677 (-0.3674) time: 1.0013 data: 0.1053 max mem: 29859 [23:10:48.626594] Epoch: [329] [720/850] eta: 0:01:55 lr: 0.001637 loss: 0.0144 (0.0149) loss_rec_all: 0.0508 (0.0511) loss_rec_sfr: 0.0538 (0.0720) loss_cl: -0.3680 (-0.3674) time: 0.9372 data: 0.0065 max mem: 29859 [23:11:10.635121] Epoch: [329] [740/850] eta: 0:01:38 lr: 0.001637 loss: 0.0138 (0.0149) loss_rec_all: 0.0502 (0.0511) loss_rec_sfr: 0.0692 (0.0720) loss_cl: -0.3676 (-0.3674) time: 1.1004 data: 0.0612 max mem: 29859 [23:11:30.552381] Epoch: [329] [760/850] eta: 0:01:20 lr: 0.001637 loss: 0.0137 (0.0149) loss_rec_all: 0.0499 (0.0511) loss_rec_sfr: 0.0555 (0.0720) loss_cl: -0.3674 (-0.3674) time: 0.9958 data: 0.1206 max mem: 29859 [23:11:51.333047] Epoch: [329] [780/850] eta: 0:01:02 lr: 0.001637 loss: 0.0150 (0.0149) loss_rec_all: 0.0511 (0.0511) loss_rec_sfr: 0.0815 (0.0721) loss_cl: -0.3665 (-0.3674) time: 1.0390 data: 0.1082 max mem: 29859 [23:12:12.423154] Epoch: [329] [800/850] eta: 0:00:45 lr: 0.001636 loss: 0.0139 (0.0149) loss_rec_all: 0.0501 (0.0511) loss_rec_sfr: 0.0523 (0.0719) loss_cl: -0.3663 (-0.3674) time: 1.0545 data: 0.1319 max mem: 29859 [23:12:30.937214] Epoch: [329] [820/850] eta: 0:00:27 lr: 0.001636 loss: 0.0141 (0.0149) loss_rec_all: 0.0501 (0.0511) loss_rec_sfr: 0.0527 (0.0717) loss_cl: -0.3667 (-0.3673) time: 0.9257 data: 0.0121 max mem: 29859 [23:12:51.404160] Epoch: [329] [840/850] eta: 0:00:09 lr: 0.001636 loss: 0.0140 (0.0149) loss_rec_all: 0.0504 (0.0511) loss_rec_sfr: 0.0775 (0.0719) loss_cl: -0.3674 (-0.3673) time: 1.0233 data: 0.0068 max mem: 29859 [23:12:59.156414] Epoch: [329] [849/850] eta: 0:00:00 lr: 0.001636 loss: 0.0142 (0.0149) loss_rec_all: 0.0505 (0.0511) loss_rec_sfr: 0.0568 (0.0718) loss_cl: -0.3676 (-0.3673) time: 0.8991 data: 0.0067 max mem: 29859 [23:12:59.300928] Epoch: [329] Total time: 0:12:50 (0.9059 s / it) [23:12:59.303743] Averaged stats: lr: 0.001636 loss: 0.0142 (0.0149) loss_rec_all: 0.0505 (0.0511) loss_rec_sfr: 0.0568 (0.0714) loss_cl: -0.3676 (-0.3673) [23:12:59.333523] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [23:13:06.713604] Epoch: [330] [ 0/850] eta: 1:44:32 lr: 0.001636 loss: 0.0137 (0.0137) loss_rec_all: 0.0501 (0.0501) loss_rec_sfr: 0.0506 (0.0506) loss_cl: -0.3678 (-0.3678) time: 7.3793 data: 6.5246 max mem: 29859 [23:13:23.892622] Epoch: [330] [ 20/850] eta: 0:16:10 lr: 0.001636 loss: 0.0147 (0.0153) loss_rec_all: 0.0510 (0.0516) loss_rec_sfr: 0.0564 (0.0693) loss_cl: -0.3676 (-0.3677) time: 0.8589 data: 0.0002 max mem: 29859 [23:13:41.201502] Epoch: [330] [ 40/850] eta: 0:13:47 lr: 0.001636 loss: 0.0137 (0.0152) loss_rec_all: 0.0500 (0.0515) loss_rec_sfr: 0.0546 (0.0694) loss_cl: -0.3681 (-0.3678) time: 0.8654 data: 0.0003 max mem: 29859 [23:13:58.452246] Epoch: [330] [ 60/850] eta: 0:12:45 lr: 0.001636 loss: 0.0144 (0.0151) loss_rec_all: 0.0509 (0.0514) loss_rec_sfr: 0.0529 (0.0689) loss_cl: -0.3684 (-0.3680) time: 0.8625 data: 0.0003 max mem: 29859 [23:14:15.754034] Epoch: [330] [ 80/850] eta: 0:12:06 lr: 0.001636 loss: 0.0150 (0.0151) loss_rec_all: 0.0514 (0.0514) loss_rec_sfr: 0.0714 (0.0712) loss_cl: -0.3683 (-0.3681) time: 0.8650 data: 0.0003 max mem: 29859 [23:14:33.013778] Epoch: [330] [100/850] eta: 0:11:35 lr: 0.001636 loss: 0.0139 (0.0149) loss_rec_all: 0.0502 (0.0512) loss_rec_sfr: 0.0533 (0.0710) loss_cl: -0.3674 (-0.3679) time: 0.8629 data: 0.0002 max mem: 29859 [23:14:50.322545] Epoch: [330] [120/850] eta: 0:11:09 lr: 0.001636 loss: 0.0130 (0.0148) loss_rec_all: 0.0492 (0.0511) loss_rec_sfr: 0.0512 (0.0696) loss_cl: -0.3668 (-0.3677) time: 0.8654 data: 0.0003 max mem: 29859 [23:15:07.583256] Epoch: [330] [140/850] eta: 0:10:45 lr: 0.001635 loss: 0.0134 (0.0147) loss_rec_all: 0.0496 (0.0510) loss_rec_sfr: 0.0553 (0.0701) loss_cl: -0.3664 (-0.3676) time: 0.8630 data: 0.0003 max mem: 29859 [23:15:24.940430] Epoch: [330] [160/850] eta: 0:10:23 lr: 0.001635 loss: 0.0147 (0.0147) loss_rec_all: 0.0507 (0.0510) loss_rec_sfr: 0.0734 (0.0709) loss_cl: -0.3667 (-0.3674) time: 0.8678 data: 0.0003 max mem: 29859 [23:15:42.208388] Epoch: [330] [180/850] eta: 0:10:02 lr: 0.001635 loss: 0.0134 (0.0146) loss_rec_all: 0.0498 (0.0509) loss_rec_sfr: 0.0509 (0.0694) loss_cl: -0.3672 (-0.3674) time: 0.8633 data: 0.0003 max mem: 29859 [23:15:59.522311] Epoch: [330] [200/850] eta: 0:09:42 lr: 0.001635 loss: 0.0138 (0.0146) loss_rec_all: 0.0500 (0.0508) loss_rec_sfr: 0.0550 (0.0694) loss_cl: -0.3676 (-0.3674) time: 0.8656 data: 0.0002 max mem: 29859 [23:16:16.851666] Epoch: [330] [220/850] eta: 0:09:23 lr: 0.001635 loss: 0.0139 (0.0145) loss_rec_all: 0.0502 (0.0508) loss_rec_sfr: 0.0529 (0.0695) loss_cl: -0.3673 (-0.3674) time: 0.8664 data: 0.0003 max mem: 29859 [23:16:34.227479] Epoch: [330] [240/850] eta: 0:09:03 lr: 0.001635 loss: 0.0141 (0.0145) loss_rec_all: 0.0502 (0.0508) loss_rec_sfr: 0.0603 (0.0698) loss_cl: -0.3674 (-0.3674) time: 0.8687 data: 0.0004 max mem: 29859 [23:16:51.542091] Epoch: [330] [260/850] eta: 0:08:44 lr: 0.001635 loss: 0.0137 (0.0145) loss_rec_all: 0.0498 (0.0508) loss_rec_sfr: 0.0698 (0.0700) loss_cl: -0.3672 (-0.3674) time: 0.8657 data: 0.0003 max mem: 29859 [23:17:08.865281] Epoch: [330] [280/850] eta: 0:08:26 lr: 0.001635 loss: 0.0128 (0.0145) loss_rec_all: 0.0492 (0.0507) loss_rec_sfr: 0.0538 (0.0699) loss_cl: -0.3671 (-0.3674) time: 0.8661 data: 0.0003 max mem: 29859 [23:17:26.162724] Epoch: [330] [300/850] eta: 0:08:07 lr: 0.001635 loss: 0.0131 (0.0144) loss_rec_all: 0.0491 (0.0506) loss_rec_sfr: 0.0553 (0.0700) loss_cl: -0.3672 (-0.3673) time: 0.8648 data: 0.0003 max mem: 29859 [23:17:43.496525] Epoch: [330] [320/850] eta: 0:07:49 lr: 0.001634 loss: 0.0141 (0.0144) loss_rec_all: 0.0506 (0.0506) loss_rec_sfr: 0.0557 (0.0701) loss_cl: -0.3678 (-0.3674) time: 0.8666 data: 0.0003 max mem: 29859 [23:18:00.742476] Epoch: [330] [340/850] eta: 0:07:30 lr: 0.001634 loss: 0.0145 (0.0145) loss_rec_all: 0.0507 (0.0507) loss_rec_sfr: 0.0533 (0.0699) loss_cl: -0.3680 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [23:18:18.051185] Epoch: [330] [360/850] eta: 0:07:12 lr: 0.001634 loss: 0.0164 (0.0147) loss_rec_all: 0.0529 (0.0509) loss_rec_sfr: 0.0575 (0.0703) loss_cl: -0.3682 (-0.3674) time: 0.8654 data: 0.0003 max mem: 29859 [23:18:35.362225] Epoch: [330] [380/850] eta: 0:06:54 lr: 0.001634 loss: 0.0173 (0.0148) loss_rec_all: 0.0535 (0.0511) loss_rec_sfr: 0.0619 (0.0704) loss_cl: -0.3685 (-0.3675) time: 0.8655 data: 0.0003 max mem: 29859 [23:18:52.718796] Epoch: [330] [400/850] eta: 0:06:36 lr: 0.001634 loss: 0.0167 (0.0149) loss_rec_all: 0.0531 (0.0512) loss_rec_sfr: 0.0605 (0.0705) loss_cl: -0.3680 (-0.3675) time: 0.8678 data: 0.0004 max mem: 29859 [23:19:09.978002] Epoch: [330] [420/850] eta: 0:06:18 lr: 0.001634 loss: 0.0162 (0.0150) loss_rec_all: 0.0525 (0.0513) loss_rec_sfr: 0.0584 (0.0708) loss_cl: -0.3677 (-0.3675) time: 0.8629 data: 0.0002 max mem: 29859 [23:19:27.255530] Epoch: [330] [440/850] eta: 0:06:00 lr: 0.001634 loss: 0.0156 (0.0151) loss_rec_all: 0.0519 (0.0514) loss_rec_sfr: 0.0582 (0.0708) loss_cl: -0.3670 (-0.3675) time: 0.8638 data: 0.0002 max mem: 29859 [23:19:44.529388] Epoch: [330] [460/850] eta: 0:05:42 lr: 0.001634 loss: 0.0159 (0.0151) loss_rec_all: 0.0521 (0.0514) loss_rec_sfr: 0.0731 (0.0713) loss_cl: -0.3674 (-0.3675) time: 0.8636 data: 0.0003 max mem: 29859 [23:20:01.823480] Epoch: [330] [480/850] eta: 0:05:24 lr: 0.001634 loss: 0.0161 (0.0152) loss_rec_all: 0.0523 (0.0514) loss_rec_sfr: 0.0746 (0.0715) loss_cl: -0.3671 (-0.3674) time: 0.8647 data: 0.0002 max mem: 29859 [23:20:19.097026] Epoch: [330] [500/850] eta: 0:05:07 lr: 0.001634 loss: 0.0158 (0.0152) loss_rec_all: 0.0517 (0.0515) loss_rec_sfr: 0.0728 (0.0716) loss_cl: -0.3669 (-0.3674) time: 0.8636 data: 0.0003 max mem: 29859 [23:20:36.399100] Epoch: [330] [520/850] eta: 0:04:49 lr: 0.001633 loss: 0.0151 (0.0152) loss_rec_all: 0.0514 (0.0515) loss_rec_sfr: 0.0723 (0.0716) loss_cl: -0.3666 (-0.3674) time: 0.8650 data: 0.0003 max mem: 29859 [23:20:53.663046] Epoch: [330] [540/850] eta: 0:04:31 lr: 0.001633 loss: 0.0135 (0.0152) loss_rec_all: 0.0499 (0.0515) loss_rec_sfr: 0.0518 (0.0713) loss_cl: -0.3672 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [23:21:11.022402] Epoch: [330] [560/850] eta: 0:04:14 lr: 0.001633 loss: 0.0157 (0.0152) loss_rec_all: 0.0521 (0.0515) loss_rec_sfr: 0.0721 (0.0712) loss_cl: -0.3674 (-0.3674) time: 0.8679 data: 0.0003 max mem: 29859 [23:21:28.337135] Epoch: [330] [580/850] eta: 0:03:56 lr: 0.001633 loss: 0.0131 (0.0152) loss_rec_all: 0.0495 (0.0514) loss_rec_sfr: 0.0515 (0.0709) loss_cl: -0.3679 (-0.3674) time: 0.8657 data: 0.0003 max mem: 29859 [23:21:45.664776] Epoch: [330] [600/850] eta: 0:03:38 lr: 0.001633 loss: 0.0144 (0.0152) loss_rec_all: 0.0505 (0.0514) loss_rec_sfr: 0.0726 (0.0710) loss_cl: -0.3679 (-0.3674) time: 0.8663 data: 0.0004 max mem: 29859 [23:22:02.939342] Epoch: [330] [620/850] eta: 0:03:21 lr: 0.001633 loss: 0.0133 (0.0151) loss_rec_all: 0.0496 (0.0514) loss_rec_sfr: 0.0527 (0.0711) loss_cl: -0.3675 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [23:22:20.259325] Epoch: [330] [640/850] eta: 0:03:03 lr: 0.001633 loss: 0.0135 (0.0151) loss_rec_all: 0.0498 (0.0513) loss_rec_sfr: 0.0502 (0.0709) loss_cl: -0.3675 (-0.3674) time: 0.8659 data: 0.0003 max mem: 29859 [23:22:37.532406] Epoch: [330] [660/850] eta: 0:02:46 lr: 0.001633 loss: 0.0146 (0.0151) loss_rec_all: 0.0506 (0.0513) loss_rec_sfr: 0.0708 (0.0709) loss_cl: -0.3676 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [23:22:54.822285] Epoch: [330] [680/850] eta: 0:02:28 lr: 0.001633 loss: 0.0133 (0.0151) loss_rec_all: 0.0497 (0.0513) loss_rec_sfr: 0.0702 (0.0709) loss_cl: -0.3679 (-0.3674) time: 0.8644 data: 0.0002 max mem: 29859 [23:23:12.099103] Epoch: [330] [700/850] eta: 0:02:11 lr: 0.001632 loss: 0.0124 (0.0150) loss_rec_all: 0.0487 (0.0513) loss_rec_sfr: 0.0507 (0.0707) loss_cl: -0.3681 (-0.3674) time: 0.8638 data: 0.0003 max mem: 29859 [23:23:29.406149] Epoch: [330] [720/850] eta: 0:01:53 lr: 0.001632 loss: 0.0148 (0.0150) loss_rec_all: 0.0509 (0.0512) loss_rec_sfr: 0.0595 (0.0708) loss_cl: -0.3678 (-0.3675) time: 0.8653 data: 0.0002 max mem: 29859 [23:23:46.659668] Epoch: [330] [740/850] eta: 0:01:36 lr: 0.001632 loss: 0.0143 (0.0150) loss_rec_all: 0.0505 (0.0512) loss_rec_sfr: 0.0751 (0.0709) loss_cl: -0.3674 (-0.3675) time: 0.8626 data: 0.0003 max mem: 29859 [23:24:03.998902] Epoch: [330] [760/850] eta: 0:01:18 lr: 0.001632 loss: 0.0143 (0.0150) loss_rec_all: 0.0505 (0.0512) loss_rec_sfr: 0.0707 (0.0710) loss_cl: -0.3676 (-0.3675) time: 0.8669 data: 0.0003 max mem: 29859 [23:24:21.263138] Epoch: [330] [780/850] eta: 0:01:01 lr: 0.001632 loss: 0.0133 (0.0149) loss_rec_all: 0.0492 (0.0512) loss_rec_sfr: 0.0771 (0.0711) loss_cl: -0.3675 (-0.3675) time: 0.8632 data: 0.0003 max mem: 29859 [23:24:38.561829] Epoch: [330] [800/850] eta: 0:00:43 lr: 0.001632 loss: 0.0145 (0.0150) loss_rec_all: 0.0508 (0.0512) loss_rec_sfr: 0.0797 (0.0713) loss_cl: -0.3671 (-0.3674) time: 0.8649 data: 0.0002 max mem: 29859 [23:24:55.884790] Epoch: [330] [820/850] eta: 0:00:26 lr: 0.001632 loss: 0.0147 (0.0150) loss_rec_all: 0.0509 (0.0512) loss_rec_sfr: 0.0711 (0.0713) loss_cl: -0.3668 (-0.3674) time: 0.8661 data: 0.0003 max mem: 29859 [23:25:13.211469] Epoch: [330] [840/850] eta: 0:00:08 lr: 0.001632 loss: 0.0156 (0.0150) loss_rec_all: 0.0515 (0.0513) loss_rec_sfr: 0.0713 (0.0714) loss_cl: -0.3664 (-0.3674) time: 0.8663 data: 0.0007 max mem: 29859 [23:25:21.015796] Epoch: [330] [849/850] eta: 0:00:00 lr: 0.001632 loss: 0.0153 (0.0150) loss_rec_all: 0.0515 (0.0513) loss_rec_sfr: 0.0610 (0.0714) loss_cl: -0.3665 (-0.3674) time: 0.8679 data: 0.0007 max mem: 29859 [23:25:21.151127] Epoch: [330] Total time: 0:12:21 (0.8727 s / it) [23:25:21.152909] Averaged stats: lr: 0.001632 loss: 0.0153 (0.0151) loss_rec_all: 0.0515 (0.0514) loss_rec_sfr: 0.0610 (0.0720) loss_cl: -0.3665 (-0.3673) [23:25:21.158301] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [23:25:26.319096] Epoch: [331] [ 0/850] eta: 1:13:05 lr: 0.001632 loss: 0.0141 (0.0141) loss_rec_all: 0.0504 (0.0504) loss_rec_sfr: 0.0523 (0.0523) loss_cl: -0.3675 (-0.3675) time: 5.1600 data: 4.3040 max mem: 29859 [23:25:43.527014] Epoch: [331] [ 20/850] eta: 0:14:44 lr: 0.001631 loss: 0.0157 (0.0163) loss_rec_all: 0.0519 (0.0524) loss_rec_sfr: 0.0733 (0.0778) loss_cl: -0.3667 (-0.3668) time: 0.8603 data: 0.0002 max mem: 29859 [23:26:00.811676] Epoch: [331] [ 40/850] eta: 0:13:03 lr: 0.001631 loss: 0.0161 (0.0166) loss_rec_all: 0.0524 (0.0528) loss_rec_sfr: 0.0760 (0.0792) loss_cl: -0.3674 (-0.3671) time: 0.8642 data: 0.0005 max mem: 29859 [23:26:18.078139] Epoch: [331] [ 60/850] eta: 0:12:17 lr: 0.001631 loss: 0.0150 (0.0166) loss_rec_all: 0.0515 (0.0528) loss_rec_sfr: 0.0536 (0.0753) loss_cl: -0.3676 (-0.3673) time: 0.8633 data: 0.0003 max mem: 29859 [23:26:35.399630] Epoch: [331] [ 80/850] eta: 0:11:45 lr: 0.001631 loss: 0.0143 (0.0163) loss_rec_all: 0.0507 (0.0525) loss_rec_sfr: 0.0729 (0.0750) loss_cl: -0.3677 (-0.3674) time: 0.8660 data: 0.0002 max mem: 29859 [23:26:52.694046] Epoch: [331] [100/850] eta: 0:11:19 lr: 0.001631 loss: 0.0136 (0.0159) loss_rec_all: 0.0500 (0.0521) loss_rec_sfr: 0.0533 (0.0732) loss_cl: -0.3677 (-0.3674) time: 0.8647 data: 0.0003 max mem: 29859 [23:27:10.004792] Epoch: [331] [120/850] eta: 0:10:56 lr: 0.001631 loss: 0.0142 (0.0156) loss_rec_all: 0.0504 (0.0519) loss_rec_sfr: 0.0876 (0.0738) loss_cl: -0.3676 (-0.3675) time: 0.8655 data: 0.0002 max mem: 29859 [23:27:27.255860] Epoch: [331] [140/850] eta: 0:10:34 lr: 0.001631 loss: 0.0134 (0.0154) loss_rec_all: 0.0496 (0.0517) loss_rec_sfr: 0.0514 (0.0729) loss_cl: -0.3678 (-0.3675) time: 0.8625 data: 0.0002 max mem: 29859 [23:27:44.577020] Epoch: [331] [160/850] eta: 0:10:14 lr: 0.001631 loss: 0.0132 (0.0153) loss_rec_all: 0.0495 (0.0516) loss_rec_sfr: 0.0576 (0.0718) loss_cl: -0.3670 (-0.3674) time: 0.8660 data: 0.0003 max mem: 29859 [23:28:01.819525] Epoch: [331] [180/850] eta: 0:09:54 lr: 0.001631 loss: 0.0130 (0.0151) loss_rec_all: 0.0493 (0.0514) loss_rec_sfr: 0.0538 (0.0708) loss_cl: -0.3663 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [23:28:19.142712] Epoch: [331] [200/850] eta: 0:09:35 lr: 0.001630 loss: 0.0122 (0.0149) loss_rec_all: 0.0484 (0.0512) loss_rec_sfr: 0.0492 (0.0691) loss_cl: -0.3667 (-0.3673) time: 0.8661 data: 0.0002 max mem: 29859 [23:28:36.473392] Epoch: [331] [220/850] eta: 0:09:16 lr: 0.001630 loss: 0.0139 (0.0149) loss_rec_all: 0.0503 (0.0511) loss_rec_sfr: 0.0692 (0.0691) loss_cl: -0.3677 (-0.3673) time: 0.8664 data: 0.0004 max mem: 29859 [23:28:53.842216] Epoch: [331] [240/850] eta: 0:08:58 lr: 0.001630 loss: 0.0143 (0.0148) loss_rec_all: 0.0506 (0.0511) loss_rec_sfr: 0.0719 (0.0694) loss_cl: -0.3683 (-0.3674) time: 0.8684 data: 0.0004 max mem: 29859 [23:29:11.101823] Epoch: [331] [260/850] eta: 0:08:39 lr: 0.001630 loss: 0.0149 (0.0148) loss_rec_all: 0.0510 (0.0511) loss_rec_sfr: 0.0733 (0.0702) loss_cl: -0.3680 (-0.3674) time: 0.8629 data: 0.0003 max mem: 29859 [23:29:28.416519] Epoch: [331] [280/850] eta: 0:08:21 lr: 0.001630 loss: 0.0156 (0.0149) loss_rec_all: 0.0520 (0.0511) loss_rec_sfr: 0.0636 (0.0704) loss_cl: -0.3683 (-0.3675) time: 0.8657 data: 0.0003 max mem: 29859 [23:29:45.700169] Epoch: [331] [300/850] eta: 0:08:03 lr: 0.001630 loss: 0.0151 (0.0150) loss_rec_all: 0.0514 (0.0512) loss_rec_sfr: 0.0734 (0.0707) loss_cl: -0.3682 (-0.3675) time: 0.8641 data: 0.0002 max mem: 29859 [23:30:03.031658] Epoch: [331] [320/850] eta: 0:07:45 lr: 0.001630 loss: 0.0157 (0.0150) loss_rec_all: 0.0517 (0.0513) loss_rec_sfr: 0.0725 (0.0710) loss_cl: -0.3676 (-0.3675) time: 0.8665 data: 0.0003 max mem: 29859 [23:30:20.339081] Epoch: [331] [340/850] eta: 0:07:27 lr: 0.001630 loss: 0.0165 (0.0152) loss_rec_all: 0.0528 (0.0514) loss_rec_sfr: 0.0651 (0.0709) loss_cl: -0.3671 (-0.3675) time: 0.8653 data: 0.0003 max mem: 29859 [23:30:37.686633] Epoch: [331] [360/850] eta: 0:07:09 lr: 0.001630 loss: 0.0164 (0.0153) loss_rec_all: 0.0524 (0.0515) loss_rec_sfr: 0.0695 (0.0715) loss_cl: -0.3669 (-0.3675) time: 0.8673 data: 0.0002 max mem: 29859 [23:30:54.959132] Epoch: [331] [380/850] eta: 0:06:51 lr: 0.001630 loss: 0.0150 (0.0153) loss_rec_all: 0.0511 (0.0515) loss_rec_sfr: 0.0632 (0.0715) loss_cl: -0.3669 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [23:31:12.277081] Epoch: [331] [400/850] eta: 0:06:33 lr: 0.001629 loss: 0.0148 (0.0153) loss_rec_all: 0.0511 (0.0515) loss_rec_sfr: 0.0702 (0.0716) loss_cl: -0.3668 (-0.3674) time: 0.8658 data: 0.0002 max mem: 29859 [23:31:29.579969] Epoch: [331] [420/850] eta: 0:06:16 lr: 0.001629 loss: 0.0150 (0.0153) loss_rec_all: 0.0514 (0.0516) loss_rec_sfr: 0.0692 (0.0716) loss_cl: -0.3670 (-0.3674) time: 0.8651 data: 0.0003 max mem: 29859 [23:31:46.930781] Epoch: [331] [440/850] eta: 0:05:58 lr: 0.001629 loss: 0.0145 (0.0154) loss_rec_all: 0.0509 (0.0516) loss_rec_sfr: 0.0724 (0.0720) loss_cl: -0.3670 (-0.3674) time: 0.8675 data: 0.0003 max mem: 29859 [23:32:04.209167] Epoch: [331] [460/850] eta: 0:05:40 lr: 0.001629 loss: 0.0154 (0.0154) loss_rec_all: 0.0514 (0.0516) loss_rec_sfr: 0.0724 (0.0724) loss_cl: -0.3673 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [23:32:21.525125] Epoch: [331] [480/850] eta: 0:05:23 lr: 0.001629 loss: 0.0145 (0.0154) loss_rec_all: 0.0509 (0.0516) loss_rec_sfr: 0.0578 (0.0726) loss_cl: -0.3679 (-0.3674) time: 0.8657 data: 0.0002 max mem: 29859 [23:32:38.781046] Epoch: [331] [500/850] eta: 0:05:05 lr: 0.001629 loss: 0.0150 (0.0154) loss_rec_all: 0.0510 (0.0516) loss_rec_sfr: 0.0743 (0.0729) loss_cl: -0.3677 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [23:32:56.160736] Epoch: [331] [520/850] eta: 0:04:48 lr: 0.001629 loss: 0.0141 (0.0153) loss_rec_all: 0.0505 (0.0516) loss_rec_sfr: 0.0704 (0.0729) loss_cl: -0.3674 (-0.3674) time: 0.8689 data: 0.0003 max mem: 29859 [23:33:13.600588] Epoch: [331] [540/850] eta: 0:04:30 lr: 0.001629 loss: 0.0144 (0.0153) loss_rec_all: 0.0508 (0.0516) loss_rec_sfr: 0.0612 (0.0728) loss_cl: -0.3674 (-0.3674) time: 0.8719 data: 0.0004 max mem: 29859 [23:33:30.944571] Epoch: [331] [560/850] eta: 0:04:13 lr: 0.001629 loss: 0.0160 (0.0153) loss_rec_all: 0.0519 (0.0516) loss_rec_sfr: 0.0738 (0.0729) loss_cl: -0.3676 (-0.3674) time: 0.8671 data: 0.0002 max mem: 29859 [23:33:48.229122] Epoch: [331] [580/850] eta: 0:03:55 lr: 0.001628 loss: 0.0136 (0.0153) loss_rec_all: 0.0499 (0.0515) loss_rec_sfr: 0.0549 (0.0727) loss_cl: -0.3674 (-0.3674) time: 0.8642 data: 0.0002 max mem: 29859 [23:34:05.599926] Epoch: [331] [600/850] eta: 0:03:38 lr: 0.001628 loss: 0.0144 (0.0153) loss_rec_all: 0.0507 (0.0515) loss_rec_sfr: 0.0698 (0.0728) loss_cl: -0.3673 (-0.3674) time: 0.8685 data: 0.0003 max mem: 29859 [23:34:22.897396] Epoch: [331] [620/850] eta: 0:03:20 lr: 0.001628 loss: 0.0132 (0.0152) loss_rec_all: 0.0495 (0.0515) loss_rec_sfr: 0.0503 (0.0725) loss_cl: -0.3670 (-0.3674) time: 0.8648 data: 0.0003 max mem: 29859 [23:34:40.194587] Epoch: [331] [640/850] eta: 0:03:03 lr: 0.001628 loss: 0.0139 (0.0152) loss_rec_all: 0.0499 (0.0514) loss_rec_sfr: 0.0759 (0.0725) loss_cl: -0.3665 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [23:34:57.460933] Epoch: [331] [660/850] eta: 0:02:45 lr: 0.001628 loss: 0.0127 (0.0151) loss_rec_all: 0.0491 (0.0514) loss_rec_sfr: 0.0487 (0.0719) loss_cl: -0.3670 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [23:35:14.815256] Epoch: [331] [680/850] eta: 0:02:28 lr: 0.001628 loss: 0.0135 (0.0151) loss_rec_all: 0.0497 (0.0513) loss_rec_sfr: 0.0560 (0.0719) loss_cl: -0.3667 (-0.3673) time: 0.8676 data: 0.0003 max mem: 29859 [23:35:32.043366] Epoch: [331] [700/850] eta: 0:02:10 lr: 0.001628 loss: 0.0134 (0.0151) loss_rec_all: 0.0495 (0.0513) loss_rec_sfr: 0.0702 (0.0719) loss_cl: -0.3671 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [23:35:53.840301] Epoch: [331] [720/850] eta: 0:01:54 lr: 0.001628 loss: 0.0141 (0.0150) loss_rec_all: 0.0501 (0.0513) loss_rec_sfr: 0.0696 (0.0720) loss_cl: -0.3673 (-0.3673) time: 1.0898 data: 0.0036 max mem: 29859 [23:36:14.395058] Epoch: [331] [740/850] eta: 0:01:36 lr: 0.001628 loss: 0.0145 (0.0151) loss_rec_all: 0.0509 (0.0513) loss_rec_sfr: 0.0535 (0.0718) loss_cl: -0.3681 (-0.3673) time: 1.0276 data: 0.0082 max mem: 29859 [23:36:35.016536] Epoch: [331] [760/850] eta: 0:01:19 lr: 0.001627 loss: 0.0152 (0.0151) loss_rec_all: 0.0516 (0.0513) loss_rec_sfr: 0.0562 (0.0717) loss_cl: -0.3690 (-0.3674) time: 1.0310 data: 0.0497 max mem: 29859 [23:36:56.439689] Epoch: [331] [780/850] eta: 0:01:02 lr: 0.001627 loss: 0.0159 (0.0151) loss_rec_all: 0.0523 (0.0513) loss_rec_sfr: 0.0586 (0.0718) loss_cl: -0.3683 (-0.3674) time: 1.0711 data: 0.0101 max mem: 29859 [23:37:16.460013] Epoch: [331] [800/850] eta: 0:00:44 lr: 0.001627 loss: 0.0149 (0.0151) loss_rec_all: 0.0512 (0.0513) loss_rec_sfr: 0.0543 (0.0717) loss_cl: -0.3673 (-0.3674) time: 1.0010 data: 0.0002 max mem: 29859 [23:37:35.829905] Epoch: [331] [820/850] eta: 0:00:26 lr: 0.001627 loss: 0.0156 (0.0151) loss_rec_all: 0.0520 (0.0514) loss_rec_sfr: 0.0593 (0.0718) loss_cl: -0.3667 (-0.3674) time: 0.9684 data: 0.0539 max mem: 29859 [23:37:56.681222] Epoch: [331] [840/850] eta: 0:00:08 lr: 0.001627 loss: 0.0149 (0.0151) loss_rec_all: 0.0510 (0.0514) loss_rec_sfr: 0.0559 (0.0717) loss_cl: -0.3663 (-0.3674) time: 1.0425 data: 0.1331 max mem: 29859 [23:38:04.411335] Epoch: [331] [849/850] eta: 0:00:00 lr: 0.001627 loss: 0.0155 (0.0152) loss_rec_all: 0.0516 (0.0514) loss_rec_sfr: 0.0731 (0.0716) loss_cl: -0.3663 (-0.3674) time: 0.9846 data: 0.1244 max mem: 29859 [23:38:04.588514] Epoch: [331] Total time: 0:12:43 (0.8982 s / it) [23:38:04.591173] Averaged stats: lr: 0.001627 loss: 0.0155 (0.0151) loss_rec_all: 0.0516 (0.0513) loss_rec_sfr: 0.0731 (0.0716) loss_cl: -0.3663 (-0.3673) [23:38:04.604346] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [23:38:11.793976] Epoch: [332] [ 0/850] eta: 1:41:50 lr: 0.001627 loss: 0.0167 (0.0167) loss_rec_all: 0.0525 (0.0525) loss_rec_sfr: 0.1101 (0.1101) loss_cl: -0.3657 (-0.3657) time: 7.1887 data: 6.3381 max mem: 29859 [23:38:29.012333] Epoch: [332] [ 20/850] eta: 0:16:04 lr: 0.001627 loss: 0.0141 (0.0148) loss_rec_all: 0.0504 (0.0509) loss_rec_sfr: 0.0743 (0.0725) loss_cl: -0.3668 (-0.3665) time: 0.8608 data: 0.0004 max mem: 29859 [23:38:46.265897] Epoch: [332] [ 40/850] eta: 0:13:43 lr: 0.001627 loss: 0.0138 (0.0144) loss_rec_all: 0.0501 (0.0506) loss_rec_sfr: 0.0546 (0.0700) loss_cl: -0.3673 (-0.3668) time: 0.8626 data: 0.0003 max mem: 29859 [23:39:03.489197] Epoch: [332] [ 60/850] eta: 0:12:42 lr: 0.001627 loss: 0.0141 (0.0142) loss_rec_all: 0.0503 (0.0504) loss_rec_sfr: 0.0700 (0.0712) loss_cl: -0.3679 (-0.3671) time: 0.8611 data: 0.0002 max mem: 29859 [23:39:20.773245] Epoch: [332] [ 80/850] eta: 0:12:04 lr: 0.001627 loss: 0.0127 (0.0141) loss_rec_all: 0.0491 (0.0503) loss_rec_sfr: 0.0545 (0.0701) loss_cl: -0.3674 (-0.3672) time: 0.8641 data: 0.0003 max mem: 29859 [23:39:38.024746] Epoch: [332] [100/850] eta: 0:11:33 lr: 0.001626 loss: 0.0139 (0.0141) loss_rec_all: 0.0503 (0.0504) loss_rec_sfr: 0.0587 (0.0703) loss_cl: -0.3672 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [23:39:55.278144] Epoch: [332] [120/850] eta: 0:11:07 lr: 0.001626 loss: 0.0149 (0.0144) loss_rec_all: 0.0508 (0.0506) loss_rec_sfr: 0.0621 (0.0702) loss_cl: -0.3671 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [23:40:12.570752] Epoch: [332] [140/850] eta: 0:10:44 lr: 0.001626 loss: 0.0153 (0.0145) loss_rec_all: 0.0514 (0.0508) loss_rec_sfr: 0.0716 (0.0704) loss_cl: -0.3673 (-0.3672) time: 0.8645 data: 0.0002 max mem: 29859 [23:40:29.859142] Epoch: [332] [160/850] eta: 0:10:22 lr: 0.001626 loss: 0.0137 (0.0145) loss_rec_all: 0.0501 (0.0507) loss_rec_sfr: 0.0538 (0.0703) loss_cl: -0.3671 (-0.3672) time: 0.8644 data: 0.0003 max mem: 29859 [23:40:47.092710] Epoch: [332] [180/850] eta: 0:10:01 lr: 0.001626 loss: 0.0144 (0.0146) loss_rec_all: 0.0506 (0.0508) loss_rec_sfr: 0.0753 (0.0712) loss_cl: -0.3673 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [23:41:04.384741] Epoch: [332] [200/850] eta: 0:09:41 lr: 0.001626 loss: 0.0126 (0.0145) loss_rec_all: 0.0488 (0.0507) loss_rec_sfr: 0.0519 (0.0711) loss_cl: -0.3674 (-0.3672) time: 0.8645 data: 0.0003 max mem: 29859 [23:41:21.676131] Epoch: [332] [220/850] eta: 0:09:21 lr: 0.001626 loss: 0.0132 (0.0144) loss_rec_all: 0.0495 (0.0506) loss_rec_sfr: 0.0592 (0.0712) loss_cl: -0.3673 (-0.3672) time: 0.8645 data: 0.0002 max mem: 29859 [23:41:38.982137] Epoch: [332] [240/850] eta: 0:09:02 lr: 0.001626 loss: 0.0130 (0.0143) loss_rec_all: 0.0493 (0.0505) loss_rec_sfr: 0.0745 (0.0714) loss_cl: -0.3671 (-0.3672) time: 0.8653 data: 0.0002 max mem: 29859 [23:41:56.278557] Epoch: [332] [260/850] eta: 0:08:43 lr: 0.001626 loss: 0.0134 (0.0143) loss_rec_all: 0.0498 (0.0506) loss_rec_sfr: 0.0554 (0.0709) loss_cl: -0.3671 (-0.3672) time: 0.8648 data: 0.0003 max mem: 29859 [23:42:13.575085] Epoch: [332] [280/850] eta: 0:08:24 lr: 0.001625 loss: 0.0132 (0.0143) loss_rec_all: 0.0496 (0.0505) loss_rec_sfr: 0.0534 (0.0706) loss_cl: -0.3675 (-0.3672) time: 0.8648 data: 0.0002 max mem: 29859 [23:42:30.854063] Epoch: [332] [300/850] eta: 0:08:06 lr: 0.001625 loss: 0.0128 (0.0142) loss_rec_all: 0.0492 (0.0505) loss_rec_sfr: 0.0500 (0.0702) loss_cl: -0.3675 (-0.3673) time: 0.8639 data: 0.0003 max mem: 29859 [23:42:48.179253] Epoch: [332] [320/850] eta: 0:07:48 lr: 0.001625 loss: 0.0134 (0.0142) loss_rec_all: 0.0497 (0.0505) loss_rec_sfr: 0.0722 (0.0701) loss_cl: -0.3672 (-0.3673) time: 0.8662 data: 0.0003 max mem: 29859 [23:43:05.467677] Epoch: [332] [340/850] eta: 0:07:29 lr: 0.001625 loss: 0.0140 (0.0142) loss_rec_all: 0.0503 (0.0505) loss_rec_sfr: 0.0546 (0.0698) loss_cl: -0.3680 (-0.3673) time: 0.8643 data: 0.0003 max mem: 29859 [23:43:22.772597] Epoch: [332] [360/850] eta: 0:07:11 lr: 0.001625 loss: 0.0135 (0.0142) loss_rec_all: 0.0499 (0.0505) loss_rec_sfr: 0.0558 (0.0696) loss_cl: -0.3676 (-0.3673) time: 0.8652 data: 0.0002 max mem: 29859 [23:43:40.034939] Epoch: [332] [380/850] eta: 0:06:53 lr: 0.001625 loss: 0.0141 (0.0142) loss_rec_all: 0.0502 (0.0505) loss_rec_sfr: 0.0526 (0.0694) loss_cl: -0.3673 (-0.3673) time: 0.8631 data: 0.0003 max mem: 29859 [23:43:57.369010] Epoch: [332] [400/850] eta: 0:06:35 lr: 0.001625 loss: 0.0155 (0.0143) loss_rec_all: 0.0515 (0.0505) loss_rec_sfr: 0.0761 (0.0702) loss_cl: -0.3667 (-0.3673) time: 0.8666 data: 0.0004 max mem: 29859 [23:44:14.642942] Epoch: [332] [420/850] eta: 0:06:17 lr: 0.001625 loss: 0.0160 (0.0144) loss_rec_all: 0.0522 (0.0506) loss_rec_sfr: 0.0733 (0.0704) loss_cl: -0.3669 (-0.3673) time: 0.8636 data: 0.0003 max mem: 29859 [23:44:31.967476] Epoch: [332] [440/850] eta: 0:06:00 lr: 0.001625 loss: 0.0145 (0.0144) loss_rec_all: 0.0508 (0.0507) loss_rec_sfr: 0.0531 (0.0702) loss_cl: -0.3672 (-0.3673) time: 0.8662 data: 0.0003 max mem: 29859 [23:44:49.225971] Epoch: [332] [460/850] eta: 0:05:42 lr: 0.001624 loss: 0.0156 (0.0145) loss_rec_all: 0.0519 (0.0507) loss_rec_sfr: 0.0588 (0.0703) loss_cl: -0.3674 (-0.3673) time: 0.8629 data: 0.0003 max mem: 29859 [23:45:06.547500] Epoch: [332] [480/850] eta: 0:05:24 lr: 0.001624 loss: 0.0165 (0.0146) loss_rec_all: 0.0527 (0.0508) loss_rec_sfr: 0.0752 (0.0709) loss_cl: -0.3677 (-0.3673) time: 0.8660 data: 0.0003 max mem: 29859 [23:45:23.818399] Epoch: [332] [500/850] eta: 0:05:06 lr: 0.001624 loss: 0.0164 (0.0147) loss_rec_all: 0.0524 (0.0509) loss_rec_sfr: 0.0793 (0.0713) loss_cl: -0.3675 (-0.3673) time: 0.8635 data: 0.0003 max mem: 29859 [23:45:41.135281] Epoch: [332] [520/850] eta: 0:04:49 lr: 0.001624 loss: 0.0142 (0.0147) loss_rec_all: 0.0506 (0.0509) loss_rec_sfr: 0.0583 (0.0711) loss_cl: -0.3675 (-0.3673) time: 0.8658 data: 0.0003 max mem: 29859 [23:45:58.366334] Epoch: [332] [540/850] eta: 0:04:31 lr: 0.001624 loss: 0.0143 (0.0147) loss_rec_all: 0.0506 (0.0510) loss_rec_sfr: 0.0559 (0.0709) loss_cl: -0.3668 (-0.3673) time: 0.8615 data: 0.0003 max mem: 29859 [23:46:15.654115] Epoch: [332] [560/850] eta: 0:04:13 lr: 0.001624 loss: 0.0134 (0.0147) loss_rec_all: 0.0497 (0.0509) loss_rec_sfr: 0.0597 (0.0709) loss_cl: -0.3672 (-0.3673) time: 0.8643 data: 0.0003 max mem: 29859 [23:46:32.902457] Epoch: [332] [580/850] eta: 0:03:56 lr: 0.001624 loss: 0.0136 (0.0147) loss_rec_all: 0.0498 (0.0509) loss_rec_sfr: 0.0518 (0.0705) loss_cl: -0.3676 (-0.3673) time: 0.8624 data: 0.0003 max mem: 29859 [23:46:50.220708] Epoch: [332] [600/850] eta: 0:03:38 lr: 0.001624 loss: 0.0161 (0.0147) loss_rec_all: 0.0521 (0.0510) loss_rec_sfr: 0.0743 (0.0708) loss_cl: -0.3677 (-0.3673) time: 0.8659 data: 0.0003 max mem: 29859 [23:47:07.460931] Epoch: [332] [620/850] eta: 0:03:21 lr: 0.001624 loss: 0.0143 (0.0147) loss_rec_all: 0.0507 (0.0510) loss_rec_sfr: 0.0507 (0.0707) loss_cl: -0.3676 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [23:47:24.729322] Epoch: [332] [640/850] eta: 0:03:03 lr: 0.001623 loss: 0.0131 (0.0147) loss_rec_all: 0.0494 (0.0509) loss_rec_sfr: 0.0530 (0.0703) loss_cl: -0.3675 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [23:47:41.999531] Epoch: [332] [660/850] eta: 0:02:45 lr: 0.001623 loss: 0.0139 (0.0147) loss_rec_all: 0.0502 (0.0509) loss_rec_sfr: 0.0600 (0.0704) loss_cl: -0.3675 (-0.3673) time: 0.8634 data: 0.0003 max mem: 29859 [23:47:59.317475] Epoch: [332] [680/850] eta: 0:02:28 lr: 0.001623 loss: 0.0135 (0.0147) loss_rec_all: 0.0498 (0.0509) loss_rec_sfr: 0.0517 (0.0703) loss_cl: -0.3674 (-0.3673) time: 0.8658 data: 0.0003 max mem: 29859 [23:48:16.563803] Epoch: [332] [700/850] eta: 0:02:10 lr: 0.001623 loss: 0.0141 (0.0147) loss_rec_all: 0.0502 (0.0509) loss_rec_sfr: 0.0635 (0.0703) loss_cl: -0.3674 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [23:48:33.885443] Epoch: [332] [720/850] eta: 0:01:53 lr: 0.001623 loss: 0.0150 (0.0147) loss_rec_all: 0.0511 (0.0509) loss_rec_sfr: 0.0745 (0.0705) loss_cl: -0.3675 (-0.3673) time: 0.8660 data: 0.0003 max mem: 29859 [23:48:51.174070] Epoch: [332] [740/850] eta: 0:01:35 lr: 0.001623 loss: 0.0151 (0.0147) loss_rec_all: 0.0511 (0.0509) loss_rec_sfr: 0.0591 (0.0706) loss_cl: -0.3668 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [23:49:08.468025] Epoch: [332] [760/850] eta: 0:01:18 lr: 0.001623 loss: 0.0161 (0.0147) loss_rec_all: 0.0520 (0.0510) loss_rec_sfr: 0.0736 (0.0709) loss_cl: -0.3674 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [23:49:25.732303] Epoch: [332] [780/850] eta: 0:01:01 lr: 0.001623 loss: 0.0157 (0.0148) loss_rec_all: 0.0521 (0.0510) loss_rec_sfr: 0.0789 (0.0710) loss_cl: -0.3678 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [23:49:42.992540] Epoch: [332] [800/850] eta: 0:00:43 lr: 0.001623 loss: 0.0160 (0.0148) loss_rec_all: 0.0524 (0.0511) loss_rec_sfr: 0.0635 (0.0710) loss_cl: -0.3679 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [23:50:00.335044] Epoch: [332] [820/850] eta: 0:00:26 lr: 0.001622 loss: 0.0147 (0.0148) loss_rec_all: 0.0510 (0.0511) loss_rec_sfr: 0.0773 (0.0712) loss_cl: -0.3682 (-0.3673) time: 0.8671 data: 0.0057 max mem: 29859 [23:50:17.647925] Epoch: [332] [840/850] eta: 0:00:08 lr: 0.001622 loss: 0.0144 (0.0148) loss_rec_all: 0.0507 (0.0511) loss_rec_sfr: 0.0514 (0.0712) loss_cl: -0.3675 (-0.3673) time: 0.8656 data: 0.0007 max mem: 29859 [23:50:25.408176] Epoch: [332] [849/850] eta: 0:00:00 lr: 0.001622 loss: 0.0160 (0.0149) loss_rec_all: 0.0519 (0.0511) loss_rec_sfr: 0.0737 (0.0712) loss_cl: -0.3671 (-0.3673) time: 0.8647 data: 0.0006 max mem: 29859 [23:50:25.565557] Epoch: [332] Total time: 0:12:20 (0.8717 s / it) [23:50:25.570752] Averaged stats: lr: 0.001622 loss: 0.0160 (0.0148) loss_rec_all: 0.0519 (0.0511) loss_rec_sfr: 0.0737 (0.0712) loss_cl: -0.3671 (-0.3673) [23:50:25.593304] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [23:50:31.181407] Epoch: [333] [ 0/850] eta: 1:19:09 lr: 0.001622 loss: 0.0144 (0.0144) loss_rec_all: 0.0507 (0.0507) loss_rec_sfr: 0.0518 (0.0518) loss_cl: -0.3666 (-0.3666) time: 5.5873 data: 4.7344 max mem: 29859 [23:50:48.390740] Epoch: [333] [ 20/850] eta: 0:15:00 lr: 0.001622 loss: 0.0149 (0.0143) loss_rec_all: 0.0509 (0.0505) loss_rec_sfr: 0.0902 (0.0800) loss_cl: -0.3667 (-0.3668) time: 0.8604 data: 0.0002 max mem: 29859 [23:51:05.630788] Epoch: [333] [ 40/850] eta: 0:13:10 lr: 0.001622 loss: 0.0139 (0.0142) loss_rec_all: 0.0502 (0.0504) loss_rec_sfr: 0.0563 (0.0763) loss_cl: -0.3669 (-0.3668) time: 0.8620 data: 0.0002 max mem: 29859 [23:51:22.857543] Epoch: [333] [ 60/850] eta: 0:12:21 lr: 0.001622 loss: 0.0132 (0.0142) loss_rec_all: 0.0496 (0.0503) loss_rec_sfr: 0.0547 (0.0728) loss_cl: -0.3672 (-0.3670) time: 0.8613 data: 0.0002 max mem: 29859 [23:51:40.115899] Epoch: [333] [ 80/850] eta: 0:11:48 lr: 0.001622 loss: 0.0132 (0.0141) loss_rec_all: 0.0493 (0.0503) loss_rec_sfr: 0.0548 (0.0722) loss_cl: -0.3673 (-0.3670) time: 0.8629 data: 0.0002 max mem: 29859 [23:51:57.368573] Epoch: [333] [100/850] eta: 0:11:21 lr: 0.001622 loss: 0.0127 (0.0140) loss_rec_all: 0.0492 (0.0502) loss_rec_sfr: 0.0548 (0.0709) loss_cl: -0.3677 (-0.3672) time: 0.8626 data: 0.0003 max mem: 29859 [23:52:14.731476] Epoch: [333] [120/850] eta: 0:10:58 lr: 0.001622 loss: 0.0124 (0.0139) loss_rec_all: 0.0489 (0.0501) loss_rec_sfr: 0.0531 (0.0703) loss_cl: -0.3677 (-0.3672) time: 0.8681 data: 0.0003 max mem: 29859 [23:52:32.007510] Epoch: [333] [140/850] eta: 0:10:36 lr: 0.001622 loss: 0.0128 (0.0138) loss_rec_all: 0.0492 (0.0501) loss_rec_sfr: 0.0569 (0.0705) loss_cl: -0.3674 (-0.3673) time: 0.8637 data: 0.0003 max mem: 29859 [23:52:49.293669] Epoch: [333] [160/850] eta: 0:10:15 lr: 0.001621 loss: 0.0135 (0.0139) loss_rec_all: 0.0499 (0.0501) loss_rec_sfr: 0.0582 (0.0698) loss_cl: -0.3676 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [23:53:06.562372] Epoch: [333] [180/850] eta: 0:09:55 lr: 0.001621 loss: 0.0144 (0.0140) loss_rec_all: 0.0508 (0.0503) loss_rec_sfr: 0.0646 (0.0699) loss_cl: -0.3678 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [23:53:23.857151] Epoch: [333] [200/850] eta: 0:09:36 lr: 0.001621 loss: 0.0156 (0.0142) loss_rec_all: 0.0516 (0.0504) loss_rec_sfr: 0.0714 (0.0703) loss_cl: -0.3678 (-0.3674) time: 0.8647 data: 0.0002 max mem: 29859 [23:53:41.124885] Epoch: [333] [220/850] eta: 0:09:17 lr: 0.001621 loss: 0.0156 (0.0143) loss_rec_all: 0.0518 (0.0506) loss_rec_sfr: 0.0592 (0.0710) loss_cl: -0.3675 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [23:53:58.418185] Epoch: [333] [240/850] eta: 0:08:58 lr: 0.001621 loss: 0.0149 (0.0144) loss_rec_all: 0.0512 (0.0507) loss_rec_sfr: 0.0587 (0.0710) loss_cl: -0.3669 (-0.3674) time: 0.8646 data: 0.0002 max mem: 29859 [23:54:15.665183] Epoch: [333] [260/850] eta: 0:08:40 lr: 0.001621 loss: 0.0149 (0.0145) loss_rec_all: 0.0512 (0.0508) loss_rec_sfr: 0.0513 (0.0700) loss_cl: -0.3669 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [23:54:32.969269] Epoch: [333] [280/850] eta: 0:08:21 lr: 0.001621 loss: 0.0153 (0.0146) loss_rec_all: 0.0515 (0.0509) loss_rec_sfr: 0.0746 (0.0703) loss_cl: -0.3667 (-0.3673) time: 0.8652 data: 0.0002 max mem: 29859 [23:54:50.252860] Epoch: [333] [300/850] eta: 0:08:03 lr: 0.001621 loss: 0.0151 (0.0147) loss_rec_all: 0.0513 (0.0509) loss_rec_sfr: 0.0860 (0.0710) loss_cl: -0.3670 (-0.3673) time: 0.8641 data: 0.0003 max mem: 29859 [23:55:07.594304] Epoch: [333] [320/850] eta: 0:07:45 lr: 0.001621 loss: 0.0143 (0.0147) loss_rec_all: 0.0506 (0.0509) loss_rec_sfr: 0.0739 (0.0711) loss_cl: -0.3676 (-0.3673) time: 0.8670 data: 0.0003 max mem: 29859 [23:55:24.846689] Epoch: [333] [340/850] eta: 0:07:27 lr: 0.001620 loss: 0.0139 (0.0147) loss_rec_all: 0.0503 (0.0510) loss_rec_sfr: 0.0629 (0.0709) loss_cl: -0.3683 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [23:55:42.148084] Epoch: [333] [360/850] eta: 0:07:09 lr: 0.001620 loss: 0.0134 (0.0147) loss_rec_all: 0.0499 (0.0510) loss_rec_sfr: 0.0506 (0.0706) loss_cl: -0.3682 (-0.3674) time: 0.8650 data: 0.0002 max mem: 29859 [23:55:59.436084] Epoch: [333] [380/850] eta: 0:06:51 lr: 0.001620 loss: 0.0142 (0.0147) loss_rec_all: 0.0505 (0.0510) loss_rec_sfr: 0.0734 (0.0707) loss_cl: -0.3677 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [23:56:16.799257] Epoch: [333] [400/850] eta: 0:06:34 lr: 0.001620 loss: 0.0139 (0.0148) loss_rec_all: 0.0502 (0.0510) loss_rec_sfr: 0.0547 (0.0706) loss_cl: -0.3675 (-0.3674) time: 0.8681 data: 0.0010 max mem: 29859 [23:56:34.089517] Epoch: [333] [420/850] eta: 0:06:16 lr: 0.001620 loss: 0.0150 (0.0148) loss_rec_all: 0.0510 (0.0510) loss_rec_sfr: 0.0729 (0.0710) loss_cl: -0.3669 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [23:56:51.402609] Epoch: [333] [440/850] eta: 0:05:58 lr: 0.001620 loss: 0.0140 (0.0148) loss_rec_all: 0.0501 (0.0510) loss_rec_sfr: 0.0503 (0.0707) loss_cl: -0.3669 (-0.3673) time: 0.8656 data: 0.0002 max mem: 29859 [23:57:08.684494] Epoch: [333] [460/850] eta: 0:05:40 lr: 0.001620 loss: 0.0146 (0.0148) loss_rec_all: 0.0508 (0.0510) loss_rec_sfr: 0.0714 (0.0707) loss_cl: -0.3675 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [23:57:26.014518] Epoch: [333] [480/850] eta: 0:05:23 lr: 0.001620 loss: 0.0133 (0.0147) loss_rec_all: 0.0497 (0.0510) loss_rec_sfr: 0.0552 (0.0704) loss_cl: -0.3681 (-0.3674) time: 0.8664 data: 0.0002 max mem: 29859 [23:57:43.303495] Epoch: [333] [500/850] eta: 0:05:05 lr: 0.001620 loss: 0.0142 (0.0147) loss_rec_all: 0.0505 (0.0510) loss_rec_sfr: 0.0692 (0.0705) loss_cl: -0.3684 (-0.3674) time: 0.8644 data: 0.0003 max mem: 29859 [23:58:00.586289] Epoch: [333] [520/850] eta: 0:04:48 lr: 0.001619 loss: 0.0141 (0.0147) loss_rec_all: 0.0504 (0.0509) loss_rec_sfr: 0.0678 (0.0707) loss_cl: -0.3679 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [23:58:17.896110] Epoch: [333] [540/850] eta: 0:04:30 lr: 0.001619 loss: 0.0131 (0.0146) loss_rec_all: 0.0494 (0.0509) loss_rec_sfr: 0.0605 (0.0705) loss_cl: -0.3675 (-0.3674) time: 0.8654 data: 0.0003 max mem: 29859 [23:58:35.283220] Epoch: [333] [560/850] eta: 0:04:13 lr: 0.001619 loss: 0.0142 (0.0146) loss_rec_all: 0.0505 (0.0509) loss_rec_sfr: 0.0713 (0.0705) loss_cl: -0.3669 (-0.3674) time: 0.8693 data: 0.0004 max mem: 29859 [23:58:52.569519] Epoch: [333] [580/850] eta: 0:03:55 lr: 0.001619 loss: 0.0155 (0.0147) loss_rec_all: 0.0516 (0.0509) loss_rec_sfr: 0.0719 (0.0707) loss_cl: -0.3666 (-0.3674) time: 0.8642 data: 0.0002 max mem: 29859 [23:59:09.858517] Epoch: [333] [600/850] eta: 0:03:38 lr: 0.001619 loss: 0.0165 (0.0148) loss_rec_all: 0.0525 (0.0510) loss_rec_sfr: 0.0862 (0.0712) loss_cl: -0.3672 (-0.3674) time: 0.8644 data: 0.0002 max mem: 29859 [23:59:27.135509] Epoch: [333] [620/850] eta: 0:03:20 lr: 0.001619 loss: 0.0169 (0.0149) loss_rec_all: 0.0530 (0.0511) loss_rec_sfr: 0.0652 (0.0714) loss_cl: -0.3672 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [23:59:44.431258] Epoch: [333] [640/850] eta: 0:03:03 lr: 0.001619 loss: 0.0169 (0.0150) loss_rec_all: 0.0531 (0.0512) loss_rec_sfr: 0.0567 (0.0713) loss_cl: -0.3668 (-0.3673) time: 0.8647 data: 0.0003 max mem: 29859 [00:00:01.688493] Epoch: [333] [660/850] eta: 0:02:45 lr: 0.001619 loss: 0.0149 (0.0150) loss_rec_all: 0.0512 (0.0512) loss_rec_sfr: 0.0547 (0.0712) loss_cl: -0.3671 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [00:00:18.997275] Epoch: [333] [680/850] eta: 0:02:28 lr: 0.001619 loss: 0.0169 (0.0151) loss_rec_all: 0.0529 (0.0513) loss_rec_sfr: 0.0801 (0.0715) loss_cl: -0.3670 (-0.3673) time: 0.8654 data: 0.0002 max mem: 29859 [00:00:36.255002] Epoch: [333] [700/850] eta: 0:02:10 lr: 0.001619 loss: 0.0154 (0.0151) loss_rec_all: 0.0516 (0.0513) loss_rec_sfr: 0.0778 (0.0717) loss_cl: -0.3671 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [00:00:53.556803] Epoch: [333] [720/850] eta: 0:01:53 lr: 0.001618 loss: 0.0149 (0.0151) loss_rec_all: 0.0511 (0.0514) loss_rec_sfr: 0.0571 (0.0716) loss_cl: -0.3681 (-0.3673) time: 0.8650 data: 0.0002 max mem: 29859 [00:01:10.808215] Epoch: [333] [740/850] eta: 0:01:35 lr: 0.001618 loss: 0.0147 (0.0151) loss_rec_all: 0.0508 (0.0513) loss_rec_sfr: 0.0524 (0.0715) loss_cl: -0.3678 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [00:01:28.078060] Epoch: [333] [760/850] eta: 0:01:18 lr: 0.001618 loss: 0.0148 (0.0151) loss_rec_all: 0.0509 (0.0513) loss_rec_sfr: 0.0567 (0.0715) loss_cl: -0.3674 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [00:01:45.318352] Epoch: [333] [780/850] eta: 0:01:00 lr: 0.001618 loss: 0.0146 (0.0151) loss_rec_all: 0.0506 (0.0513) loss_rec_sfr: 0.0582 (0.0715) loss_cl: -0.3671 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [00:02:02.608266] Epoch: [333] [800/850] eta: 0:00:43 lr: 0.001618 loss: 0.0131 (0.0151) loss_rec_all: 0.0494 (0.0513) loss_rec_sfr: 0.0519 (0.0713) loss_cl: -0.3669 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [00:02:19.897557] Epoch: [333] [820/850] eta: 0:00:26 lr: 0.001618 loss: 0.0137 (0.0151) loss_rec_all: 0.0497 (0.0513) loss_rec_sfr: 0.0734 (0.0713) loss_cl: -0.3667 (-0.3673) time: 0.8644 data: 0.0003 max mem: 29859 [00:02:37.198802] Epoch: [333] [840/850] eta: 0:00:08 lr: 0.001618 loss: 0.0134 (0.0150) loss_rec_all: 0.0498 (0.0513) loss_rec_sfr: 0.0523 (0.0713) loss_cl: -0.3666 (-0.3673) time: 0.8650 data: 0.0005 max mem: 29859 [00:02:44.951701] Epoch: [333] [849/850] eta: 0:00:00 lr: 0.001618 loss: 0.0142 (0.0150) loss_rec_all: 0.0506 (0.0513) loss_rec_sfr: 0.0552 (0.0712) loss_cl: -0.3668 (-0.3673) time: 0.8638 data: 0.0005 max mem: 29859 [00:02:45.093286] Epoch: [333] Total time: 0:12:19 (0.8700 s / it) [00:02:45.100201] Averaged stats: lr: 0.001618 loss: 0.0142 (0.0150) loss_rec_all: 0.0506 (0.0512) loss_rec_sfr: 0.0552 (0.0720) loss_cl: -0.3668 (-0.3673) [00:02:45.111948] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [00:02:52.118070] Epoch: [334] [ 0/850] eta: 1:39:13 lr: 0.001618 loss: 0.0149 (0.0149) loss_rec_all: 0.0509 (0.0509) loss_rec_sfr: 0.1068 (0.1068) loss_cl: -0.3680 (-0.3680) time: 7.0046 data: 4.4193 max mem: 29859 [00:03:09.338269] Epoch: [334] [ 20/850] eta: 0:15:57 lr: 0.001618 loss: 0.0125 (0.0139) loss_rec_all: 0.0489 (0.0502) loss_rec_sfr: 0.0522 (0.0643) loss_cl: -0.3674 (-0.3676) time: 0.8610 data: 0.0002 max mem: 29859 [00:03:26.580000] Epoch: [334] [ 40/850] eta: 0:13:39 lr: 0.001617 loss: 0.0141 (0.0145) loss_rec_all: 0.0503 (0.0508) loss_rec_sfr: 0.0697 (0.0681) loss_cl: -0.3678 (-0.3676) time: 0.8620 data: 0.0002 max mem: 29859 [00:03:43.798105] Epoch: [334] [ 60/850] eta: 0:12:39 lr: 0.001617 loss: 0.0136 (0.0143) loss_rec_all: 0.0500 (0.0506) loss_rec_sfr: 0.0569 (0.0668) loss_cl: -0.3682 (-0.3678) time: 0.8609 data: 0.0002 max mem: 29859 [00:04:01.060215] Epoch: [334] [ 80/850] eta: 0:12:01 lr: 0.001617 loss: 0.0135 (0.0143) loss_rec_all: 0.0500 (0.0506) loss_rec_sfr: 0.0564 (0.0678) loss_cl: -0.3682 (-0.3679) time: 0.8631 data: 0.0002 max mem: 29859 [00:04:18.316061] Epoch: [334] [100/850] eta: 0:11:32 lr: 0.001617 loss: 0.0153 (0.0145) loss_rec_all: 0.0514 (0.0508) loss_rec_sfr: 0.0727 (0.0684) loss_cl: -0.3680 (-0.3679) time: 0.8627 data: 0.0002 max mem: 29859 [00:04:35.592527] Epoch: [334] [120/850] eta: 0:11:06 lr: 0.001617 loss: 0.0142 (0.0146) loss_rec_all: 0.0504 (0.0509) loss_rec_sfr: 0.0739 (0.0691) loss_cl: -0.3674 (-0.3678) time: 0.8638 data: 0.0002 max mem: 29859 [00:04:52.846227] Epoch: [334] [140/850] eta: 0:10:43 lr: 0.001617 loss: 0.0135 (0.0145) loss_rec_all: 0.0498 (0.0508) loss_rec_sfr: 0.0512 (0.0694) loss_cl: -0.3669 (-0.3677) time: 0.8626 data: 0.0002 max mem: 29859 [00:05:10.125872] Epoch: [334] [160/850] eta: 0:10:21 lr: 0.001617 loss: 0.0145 (0.0145) loss_rec_all: 0.0508 (0.0508) loss_rec_sfr: 0.0538 (0.0697) loss_cl: -0.3667 (-0.3676) time: 0.8639 data: 0.0002 max mem: 29859 [00:05:27.414236] Epoch: [334] [180/850] eta: 0:10:00 lr: 0.001617 loss: 0.0131 (0.0144) loss_rec_all: 0.0494 (0.0507) loss_rec_sfr: 0.0503 (0.0693) loss_cl: -0.3669 (-0.3675) time: 0.8644 data: 0.0003 max mem: 29859 [00:05:44.755797] Epoch: [334] [200/850] eta: 0:09:40 lr: 0.001617 loss: 0.0137 (0.0144) loss_rec_all: 0.0500 (0.0506) loss_rec_sfr: 0.0550 (0.0694) loss_cl: -0.3672 (-0.3674) time: 0.8670 data: 0.0003 max mem: 29859 [00:06:02.036549] Epoch: [334] [220/850] eta: 0:09:21 lr: 0.001616 loss: 0.0132 (0.0143) loss_rec_all: 0.0491 (0.0506) loss_rec_sfr: 0.0672 (0.0694) loss_cl: -0.3665 (-0.3673) time: 0.8640 data: 0.0003 max mem: 29859 [00:06:19.329580] Epoch: [334] [240/850] eta: 0:09:02 lr: 0.001616 loss: 0.0133 (0.0143) loss_rec_all: 0.0495 (0.0505) loss_rec_sfr: 0.0506 (0.0688) loss_cl: -0.3665 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [00:06:36.625557] Epoch: [334] [260/850] eta: 0:08:43 lr: 0.001616 loss: 0.0143 (0.0143) loss_rec_all: 0.0503 (0.0505) loss_rec_sfr: 0.0686 (0.0689) loss_cl: -0.3673 (-0.3673) time: 0.8647 data: 0.0003 max mem: 29859 [00:06:53.918575] Epoch: [334] [280/850] eta: 0:08:24 lr: 0.001616 loss: 0.0124 (0.0142) loss_rec_all: 0.0490 (0.0504) loss_rec_sfr: 0.0500 (0.0686) loss_cl: -0.3682 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [00:07:11.175694] Epoch: [334] [300/850] eta: 0:08:06 lr: 0.001616 loss: 0.0132 (0.0141) loss_rec_all: 0.0498 (0.0504) loss_rec_sfr: 0.0546 (0.0689) loss_cl: -0.3682 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [00:07:28.473427] Epoch: [334] [320/850] eta: 0:07:47 lr: 0.001616 loss: 0.0131 (0.0141) loss_rec_all: 0.0495 (0.0504) loss_rec_sfr: 0.0697 (0.0691) loss_cl: -0.3678 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [00:07:45.717084] Epoch: [334] [340/850] eta: 0:07:29 lr: 0.001616 loss: 0.0137 (0.0141) loss_rec_all: 0.0501 (0.0504) loss_rec_sfr: 0.0713 (0.0692) loss_cl: -0.3673 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [00:08:03.021393] Epoch: [334] [360/850] eta: 0:07:11 lr: 0.001616 loss: 0.0138 (0.0142) loss_rec_all: 0.0499 (0.0504) loss_rec_sfr: 0.0554 (0.0687) loss_cl: -0.3674 (-0.3674) time: 0.8651 data: 0.0002 max mem: 29859 [00:08:20.287923] Epoch: [334] [380/850] eta: 0:06:53 lr: 0.001616 loss: 0.0149 (0.0142) loss_rec_all: 0.0510 (0.0505) loss_rec_sfr: 0.0733 (0.0689) loss_cl: -0.3671 (-0.3674) time: 0.8633 data: 0.0003 max mem: 29859 [00:08:37.561253] Epoch: [334] [400/850] eta: 0:06:35 lr: 0.001615 loss: 0.0142 (0.0143) loss_rec_all: 0.0503 (0.0505) loss_rec_sfr: 0.0742 (0.0692) loss_cl: -0.3671 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [00:08:54.827358] Epoch: [334] [420/850] eta: 0:06:17 lr: 0.001615 loss: 0.0134 (0.0142) loss_rec_all: 0.0495 (0.0505) loss_rec_sfr: 0.0564 (0.0691) loss_cl: -0.3672 (-0.3674) time: 0.8632 data: 0.0003 max mem: 29859 [00:09:12.154564] Epoch: [334] [440/850] eta: 0:05:59 lr: 0.001615 loss: 0.0138 (0.0143) loss_rec_all: 0.0502 (0.0505) loss_rec_sfr: 0.0744 (0.0693) loss_cl: -0.3679 (-0.3674) time: 0.8663 data: 0.0003 max mem: 29859 [00:09:29.453694] Epoch: [334] [460/850] eta: 0:05:42 lr: 0.001615 loss: 0.0140 (0.0143) loss_rec_all: 0.0502 (0.0505) loss_rec_sfr: 0.0566 (0.0694) loss_cl: -0.3676 (-0.3674) time: 0.8649 data: 0.0003 max mem: 29859 [00:09:46.751520] Epoch: [334] [480/850] eta: 0:05:24 lr: 0.001615 loss: 0.0142 (0.0143) loss_rec_all: 0.0505 (0.0506) loss_rec_sfr: 0.0571 (0.0691) loss_cl: -0.3675 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [00:10:04.018070] Epoch: [334] [500/850] eta: 0:05:06 lr: 0.001615 loss: 0.0133 (0.0143) loss_rec_all: 0.0494 (0.0505) loss_rec_sfr: 0.0704 (0.0693) loss_cl: -0.3673 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [00:10:21.340621] Epoch: [334] [520/850] eta: 0:04:48 lr: 0.001615 loss: 0.0139 (0.0143) loss_rec_all: 0.0501 (0.0506) loss_rec_sfr: 0.0595 (0.0692) loss_cl: -0.3667 (-0.3674) time: 0.8661 data: 0.0002 max mem: 29859 [00:10:38.604664] Epoch: [334] [540/850] eta: 0:04:31 lr: 0.001615 loss: 0.0136 (0.0143) loss_rec_all: 0.0499 (0.0506) loss_rec_sfr: 0.0542 (0.0692) loss_cl: -0.3673 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [00:10:55.935511] Epoch: [334] [560/850] eta: 0:04:13 lr: 0.001615 loss: 0.0143 (0.0143) loss_rec_all: 0.0507 (0.0506) loss_rec_sfr: 0.0575 (0.0694) loss_cl: -0.3677 (-0.3674) time: 0.8665 data: 0.0002 max mem: 29859 [00:11:13.231519] Epoch: [334] [580/850] eta: 0:03:56 lr: 0.001615 loss: 0.0131 (0.0143) loss_rec_all: 0.0495 (0.0506) loss_rec_sfr: 0.0513 (0.0693) loss_cl: -0.3679 (-0.3674) time: 0.8647 data: 0.0003 max mem: 29859 [00:11:30.518511] Epoch: [334] [600/850] eta: 0:03:38 lr: 0.001614 loss: 0.0124 (0.0143) loss_rec_all: 0.0487 (0.0505) loss_rec_sfr: 0.0502 (0.0691) loss_cl: -0.3671 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [00:11:47.776656] Epoch: [334] [620/850] eta: 0:03:20 lr: 0.001614 loss: 0.0138 (0.0143) loss_rec_all: 0.0499 (0.0505) loss_rec_sfr: 0.0523 (0.0689) loss_cl: -0.3671 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [00:12:05.091592] Epoch: [334] [640/850] eta: 0:03:03 lr: 0.001614 loss: 0.0138 (0.0143) loss_rec_all: 0.0501 (0.0506) loss_rec_sfr: 0.0571 (0.0687) loss_cl: -0.3671 (-0.3674) time: 0.8657 data: 0.0002 max mem: 29859 [00:12:22.316497] Epoch: [334] [660/850] eta: 0:02:45 lr: 0.001614 loss: 0.0147 (0.0143) loss_rec_all: 0.0509 (0.0506) loss_rec_sfr: 0.0701 (0.0687) loss_cl: -0.3680 (-0.3674) time: 0.8612 data: 0.0002 max mem: 29859 [00:12:39.639623] Epoch: [334] [680/850] eta: 0:02:28 lr: 0.001614 loss: 0.0154 (0.0144) loss_rec_all: 0.0514 (0.0506) loss_rec_sfr: 0.0769 (0.0690) loss_cl: -0.3680 (-0.3674) time: 0.8661 data: 0.0003 max mem: 29859 [00:12:56.959580] Epoch: [334] [700/850] eta: 0:02:10 lr: 0.001614 loss: 0.0147 (0.0144) loss_rec_all: 0.0509 (0.0506) loss_rec_sfr: 0.0585 (0.0691) loss_cl: -0.3681 (-0.3674) time: 0.8659 data: 0.0003 max mem: 29859 [00:13:14.289232] Epoch: [334] [720/850] eta: 0:01:53 lr: 0.001614 loss: 0.0154 (0.0144) loss_rec_all: 0.0518 (0.0507) loss_rec_sfr: 0.0747 (0.0694) loss_cl: -0.3675 (-0.3674) time: 0.8664 data: 0.0002 max mem: 29859 [00:13:31.536060] Epoch: [334] [740/850] eta: 0:01:35 lr: 0.001614 loss: 0.0142 (0.0144) loss_rec_all: 0.0506 (0.0507) loss_rec_sfr: 0.0727 (0.0695) loss_cl: -0.3669 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [00:13:48.838255] Epoch: [334] [760/850] eta: 0:01:18 lr: 0.001614 loss: 0.0139 (0.0144) loss_rec_all: 0.0502 (0.0507) loss_rec_sfr: 0.0597 (0.0695) loss_cl: -0.3663 (-0.3674) time: 0.8651 data: 0.0003 max mem: 29859 [00:14:06.133998] Epoch: [334] [780/850] eta: 0:01:01 lr: 0.001613 loss: 0.0137 (0.0144) loss_rec_all: 0.0501 (0.0507) loss_rec_sfr: 0.0714 (0.0696) loss_cl: -0.3666 (-0.3674) time: 0.8647 data: 0.0002 max mem: 29859 [00:14:23.420220] Epoch: [334] [800/850] eta: 0:00:43 lr: 0.001613 loss: 0.0148 (0.0145) loss_rec_all: 0.0509 (0.0507) loss_rec_sfr: 0.0718 (0.0696) loss_cl: -0.3666 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [00:14:40.668761] Epoch: [334] [820/850] eta: 0:00:26 lr: 0.001613 loss: 0.0145 (0.0145) loss_rec_all: 0.0506 (0.0507) loss_rec_sfr: 0.0722 (0.0697) loss_cl: -0.3679 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [00:14:58.006561] Epoch: [334] [840/850] eta: 0:00:08 lr: 0.001613 loss: 0.0137 (0.0145) loss_rec_all: 0.0497 (0.0507) loss_rec_sfr: 0.0700 (0.0699) loss_cl: -0.3679 (-0.3674) time: 0.8668 data: 0.0005 max mem: 29859 [00:15:05.763460] Epoch: [334] [849/850] eta: 0:00:00 lr: 0.001613 loss: 0.0134 (0.0145) loss_rec_all: 0.0497 (0.0507) loss_rec_sfr: 0.0700 (0.0700) loss_cl: -0.3678 (-0.3674) time: 0.8657 data: 0.0005 max mem: 29859 [00:15:05.903135] Epoch: [334] Total time: 0:12:20 (0.8715 s / it) [00:15:05.905632] Averaged stats: lr: 0.001613 loss: 0.0134 (0.0145) loss_rec_all: 0.0497 (0.0507) loss_rec_sfr: 0.0700 (0.0702) loss_cl: -0.3678 (-0.3673) [00:15:05.917495] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [00:15:11.315232] Epoch: [335] [ 0/850] eta: 1:16:27 lr: 0.001613 loss: 0.0164 (0.0164) loss_rec_all: 0.0523 (0.0523) loss_rec_sfr: 0.1168 (0.1168) loss_cl: -0.3672 (-0.3672) time: 5.3970 data: 4.2620 max mem: 29859 [00:15:28.497883] Epoch: [335] [ 20/850] eta: 0:14:52 lr: 0.001613 loss: 0.0125 (0.0135) loss_rec_all: 0.0489 (0.0497) loss_rec_sfr: 0.0545 (0.0682) loss_cl: -0.3672 (-0.3672) time: 0.8591 data: 0.0002 max mem: 29859 [00:15:45.739888] Epoch: [335] [ 40/850] eta: 0:13:06 lr: 0.001613 loss: 0.0126 (0.0133) loss_rec_all: 0.0490 (0.0495) loss_rec_sfr: 0.0500 (0.0669) loss_cl: -0.3672 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [00:16:02.983778] Epoch: [335] [ 60/850] eta: 0:12:19 lr: 0.001613 loss: 0.0139 (0.0138) loss_rec_all: 0.0502 (0.0500) loss_rec_sfr: 0.0732 (0.0696) loss_cl: -0.3668 (-0.3670) time: 0.8621 data: 0.0003 max mem: 29859 [00:16:20.283047] Epoch: [335] [ 80/850] eta: 0:11:46 lr: 0.001613 loss: 0.0133 (0.0137) loss_rec_all: 0.0497 (0.0500) loss_rec_sfr: 0.0505 (0.0682) loss_cl: -0.3675 (-0.3671) time: 0.8649 data: 0.0003 max mem: 29859 [00:16:37.547690] Epoch: [335] [100/850] eta: 0:11:20 lr: 0.001612 loss: 0.0134 (0.0138) loss_rec_all: 0.0498 (0.0500) loss_rec_sfr: 0.0534 (0.0681) loss_cl: -0.3675 (-0.3672) time: 0.8632 data: 0.0002 max mem: 29859 [00:16:54.825829] Epoch: [335] [120/850] eta: 0:10:57 lr: 0.001612 loss: 0.0140 (0.0139) loss_rec_all: 0.0504 (0.0501) loss_rec_sfr: 0.0716 (0.0685) loss_cl: -0.3681 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [00:17:12.072155] Epoch: [335] [140/850] eta: 0:10:35 lr: 0.001612 loss: 0.0147 (0.0140) loss_rec_all: 0.0510 (0.0503) loss_rec_sfr: 0.0699 (0.0694) loss_cl: -0.3687 (-0.3675) time: 0.8623 data: 0.0002 max mem: 29859 [00:17:29.393075] Epoch: [335] [160/850] eta: 0:10:14 lr: 0.001612 loss: 0.0142 (0.0141) loss_rec_all: 0.0503 (0.0504) loss_rec_sfr: 0.0747 (0.0702) loss_cl: -0.3684 (-0.3676) time: 0.8660 data: 0.0002 max mem: 29859 [00:17:46.656230] Epoch: [335] [180/850] eta: 0:09:54 lr: 0.001612 loss: 0.0143 (0.0142) loss_rec_all: 0.0507 (0.0505) loss_rec_sfr: 0.0532 (0.0701) loss_cl: -0.3674 (-0.3676) time: 0.8631 data: 0.0002 max mem: 29859 [00:18:03.947573] Epoch: [335] [200/850] eta: 0:09:35 lr: 0.001612 loss: 0.0133 (0.0142) loss_rec_all: 0.0496 (0.0504) loss_rec_sfr: 0.0520 (0.0699) loss_cl: -0.3668 (-0.3675) time: 0.8645 data: 0.0002 max mem: 29859 [00:18:21.193301] Epoch: [335] [220/850] eta: 0:09:16 lr: 0.001612 loss: 0.0140 (0.0142) loss_rec_all: 0.0503 (0.0505) loss_rec_sfr: 0.0558 (0.0702) loss_cl: -0.3664 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [00:18:38.487568] Epoch: [335] [240/850] eta: 0:08:58 lr: 0.001612 loss: 0.0134 (0.0143) loss_rec_all: 0.0498 (0.0506) loss_rec_sfr: 0.0524 (0.0696) loss_cl: -0.3668 (-0.3674) time: 0.8647 data: 0.0002 max mem: 29859 [00:18:55.731277] Epoch: [335] [260/850] eta: 0:08:39 lr: 0.001612 loss: 0.0137 (0.0143) loss_rec_all: 0.0497 (0.0506) loss_rec_sfr: 0.0746 (0.0702) loss_cl: -0.3676 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [00:19:13.021271] Epoch: [335] [280/850] eta: 0:08:21 lr: 0.001611 loss: 0.0138 (0.0143) loss_rec_all: 0.0500 (0.0505) loss_rec_sfr: 0.0574 (0.0706) loss_cl: -0.3678 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [00:19:30.291400] Epoch: [335] [300/850] eta: 0:08:03 lr: 0.001611 loss: 0.0136 (0.0143) loss_rec_all: 0.0498 (0.0505) loss_rec_sfr: 0.0595 (0.0707) loss_cl: -0.3677 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [00:19:47.630124] Epoch: [335] [320/850] eta: 0:07:45 lr: 0.001611 loss: 0.0141 (0.0143) loss_rec_all: 0.0504 (0.0505) loss_rec_sfr: 0.0560 (0.0708) loss_cl: -0.3668 (-0.3674) time: 0.8668 data: 0.0006 max mem: 29859 [00:20:04.900080] Epoch: [335] [340/850] eta: 0:07:27 lr: 0.001611 loss: 0.0138 (0.0143) loss_rec_all: 0.0502 (0.0505) loss_rec_sfr: 0.0594 (0.0706) loss_cl: -0.3671 (-0.3674) time: 0.8634 data: 0.0003 max mem: 29859 [00:20:22.203631] Epoch: [335] [360/850] eta: 0:07:09 lr: 0.001611 loss: 0.0137 (0.0143) loss_rec_all: 0.0500 (0.0505) loss_rec_sfr: 0.0552 (0.0705) loss_cl: -0.3672 (-0.3674) time: 0.8651 data: 0.0002 max mem: 29859 [00:20:39.460479] Epoch: [335] [380/850] eta: 0:06:51 lr: 0.001611 loss: 0.0128 (0.0142) loss_rec_all: 0.0491 (0.0505) loss_rec_sfr: 0.0501 (0.0701) loss_cl: -0.3676 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [00:20:56.774517] Epoch: [335] [400/850] eta: 0:06:33 lr: 0.001611 loss: 0.0143 (0.0143) loss_rec_all: 0.0504 (0.0505) loss_rec_sfr: 0.0762 (0.0704) loss_cl: -0.3678 (-0.3674) time: 0.8657 data: 0.0002 max mem: 29859 [00:21:14.043468] Epoch: [335] [420/850] eta: 0:06:15 lr: 0.001611 loss: 0.0138 (0.0143) loss_rec_all: 0.0501 (0.0505) loss_rec_sfr: 0.0747 (0.0706) loss_cl: -0.3675 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [00:21:31.371908] Epoch: [335] [440/850] eta: 0:05:58 lr: 0.001611 loss: 0.0135 (0.0143) loss_rec_all: 0.0499 (0.0505) loss_rec_sfr: 0.0562 (0.0706) loss_cl: -0.3673 (-0.3674) time: 0.8664 data: 0.0002 max mem: 29859 [00:21:48.619567] Epoch: [335] [460/850] eta: 0:05:40 lr: 0.001611 loss: 0.0133 (0.0143) loss_rec_all: 0.0495 (0.0505) loss_rec_sfr: 0.0612 (0.0707) loss_cl: -0.3676 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [00:22:05.920303] Epoch: [335] [480/850] eta: 0:05:23 lr: 0.001610 loss: 0.0148 (0.0143) loss_rec_all: 0.0512 (0.0505) loss_rec_sfr: 0.0694 (0.0710) loss_cl: -0.3677 (-0.3674) time: 0.8650 data: 0.0002 max mem: 29859 [00:22:23.169726] Epoch: [335] [500/850] eta: 0:05:05 lr: 0.001610 loss: 0.0145 (0.0143) loss_rec_all: 0.0506 (0.0505) loss_rec_sfr: 0.0766 (0.0714) loss_cl: -0.3677 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [00:22:40.459527] Epoch: [335] [520/850] eta: 0:04:47 lr: 0.001610 loss: 0.0145 (0.0143) loss_rec_all: 0.0509 (0.0506) loss_rec_sfr: 0.0547 (0.0713) loss_cl: -0.3673 (-0.3674) time: 0.8644 data: 0.0002 max mem: 29859 [00:22:57.787541] Epoch: [335] [540/850] eta: 0:04:30 lr: 0.001610 loss: 0.0147 (0.0144) loss_rec_all: 0.0510 (0.0506) loss_rec_sfr: 0.0717 (0.0714) loss_cl: -0.3670 (-0.3674) time: 0.8663 data: 0.0004 max mem: 29859 [00:23:15.146648] Epoch: [335] [560/850] eta: 0:04:12 lr: 0.001610 loss: 0.0125 (0.0143) loss_rec_all: 0.0488 (0.0505) loss_rec_sfr: 0.0489 (0.0711) loss_cl: -0.3673 (-0.3674) time: 0.8679 data: 0.0003 max mem: 29859 [00:23:32.397264] Epoch: [335] [580/850] eta: 0:03:55 lr: 0.001610 loss: 0.0133 (0.0143) loss_rec_all: 0.0496 (0.0505) loss_rec_sfr: 0.0553 (0.0709) loss_cl: -0.3675 (-0.3674) time: 0.8625 data: 0.0003 max mem: 29859 [00:23:49.727741] Epoch: [335] [600/850] eta: 0:03:37 lr: 0.001610 loss: 0.0139 (0.0143) loss_rec_all: 0.0503 (0.0506) loss_rec_sfr: 0.0678 (0.0708) loss_cl: -0.3675 (-0.3674) time: 0.8665 data: 0.0005 max mem: 29859 [00:24:06.938814] Epoch: [335] [620/850] eta: 0:03:20 lr: 0.001610 loss: 0.0139 (0.0143) loss_rec_all: 0.0502 (0.0506) loss_rec_sfr: 0.0518 (0.0706) loss_cl: -0.3673 (-0.3674) time: 0.8605 data: 0.0002 max mem: 29859 [00:24:24.189430] Epoch: [335] [640/850] eta: 0:03:02 lr: 0.001610 loss: 0.0141 (0.0143) loss_rec_all: 0.0505 (0.0506) loss_rec_sfr: 0.0712 (0.0707) loss_cl: -0.3677 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [00:24:41.415269] Epoch: [335] [660/850] eta: 0:02:45 lr: 0.001609 loss: 0.0154 (0.0144) loss_rec_all: 0.0515 (0.0506) loss_rec_sfr: 0.0730 (0.0709) loss_cl: -0.3673 (-0.3674) time: 0.8612 data: 0.0002 max mem: 29859 [00:24:58.665230] Epoch: [335] [680/850] eta: 0:02:27 lr: 0.001609 loss: 0.0148 (0.0144) loss_rec_all: 0.0513 (0.0507) loss_rec_sfr: 0.0717 (0.0710) loss_cl: -0.3676 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [00:25:15.887112] Epoch: [335] [700/850] eta: 0:02:10 lr: 0.001609 loss: 0.0141 (0.0144) loss_rec_all: 0.0504 (0.0507) loss_rec_sfr: 0.0798 (0.0712) loss_cl: -0.3669 (-0.3674) time: 0.8610 data: 0.0002 max mem: 29859 [00:25:33.155305] Epoch: [335] [720/850] eta: 0:01:53 lr: 0.001609 loss: 0.0132 (0.0144) loss_rec_all: 0.0495 (0.0507) loss_rec_sfr: 0.0491 (0.0710) loss_cl: -0.3670 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [00:25:50.369178] Epoch: [335] [740/850] eta: 0:01:35 lr: 0.001609 loss: 0.0135 (0.0144) loss_rec_all: 0.0499 (0.0507) loss_rec_sfr: 0.0538 (0.0709) loss_cl: -0.3674 (-0.3674) time: 0.8606 data: 0.0002 max mem: 29859 [00:26:07.637949] Epoch: [335] [760/850] eta: 0:01:18 lr: 0.001609 loss: 0.0145 (0.0144) loss_rec_all: 0.0506 (0.0507) loss_rec_sfr: 0.0712 (0.0710) loss_cl: -0.3675 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [00:26:24.874866] Epoch: [335] [780/850] eta: 0:01:00 lr: 0.001609 loss: 0.0133 (0.0144) loss_rec_all: 0.0495 (0.0506) loss_rec_sfr: 0.0520 (0.0710) loss_cl: -0.3670 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [00:26:42.219092] Epoch: [335] [800/850] eta: 0:00:43 lr: 0.001609 loss: 0.0137 (0.0144) loss_rec_all: 0.0500 (0.0506) loss_rec_sfr: 0.0799 (0.0713) loss_cl: -0.3676 (-0.3674) time: 0.8672 data: 0.0003 max mem: 29859 [00:26:59.484859] Epoch: [335] [820/850] eta: 0:00:26 lr: 0.001609 loss: 0.0131 (0.0144) loss_rec_all: 0.0492 (0.0506) loss_rec_sfr: 0.0531 (0.0711) loss_cl: -0.3676 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [00:27:16.800086] Epoch: [335] [840/850] eta: 0:00:08 lr: 0.001608 loss: 0.0128 (0.0144) loss_rec_all: 0.0491 (0.0506) loss_rec_sfr: 0.0540 (0.0709) loss_cl: -0.3675 (-0.3674) time: 0.8657 data: 0.0005 max mem: 29859 [00:27:24.555491] Epoch: [335] [849/850] eta: 0:00:00 lr: 0.001608 loss: 0.0133 (0.0144) loss_rec_all: 0.0496 (0.0506) loss_rec_sfr: 0.0540 (0.0709) loss_cl: -0.3672 (-0.3674) time: 0.8651 data: 0.0004 max mem: 29859 [00:27:24.683067] Epoch: [335] Total time: 0:12:18 (0.8691 s / it) [00:27:24.696195] Averaged stats: lr: 0.001608 loss: 0.0133 (0.0144) loss_rec_all: 0.0496 (0.0507) loss_rec_sfr: 0.0540 (0.0709) loss_cl: -0.3672 (-0.3673) [00:27:24.705581] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [00:27:29.172223] Epoch: [336] [ 0/850] eta: 1:03:15 lr: 0.001608 loss: 0.0127 (0.0127) loss_rec_all: 0.0488 (0.0488) loss_rec_sfr: 0.0873 (0.0873) loss_cl: -0.3675 (-0.3675) time: 4.4659 data: 3.1666 max mem: 29859 [00:27:46.383197] Epoch: [336] [ 20/850] eta: 0:14:16 lr: 0.001608 loss: 0.0146 (0.0151) loss_rec_all: 0.0509 (0.0514) loss_rec_sfr: 0.0551 (0.0710) loss_cl: -0.3674 (-0.3673) time: 0.8605 data: 0.0002 max mem: 29859 [00:28:03.645055] Epoch: [336] [ 40/850] eta: 0:12:49 lr: 0.001608 loss: 0.0136 (0.0145) loss_rec_all: 0.0501 (0.0508) loss_rec_sfr: 0.0550 (0.0703) loss_cl: -0.3674 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [00:28:20.865608] Epoch: [336] [ 60/850] eta: 0:12:07 lr: 0.001608 loss: 0.0141 (0.0147) loss_rec_all: 0.0501 (0.0509) loss_rec_sfr: 0.0723 (0.0693) loss_cl: -0.3675 (-0.3674) time: 0.8610 data: 0.0002 max mem: 29859 [00:28:38.133568] Epoch: [336] [ 80/850] eta: 0:11:37 lr: 0.001608 loss: 0.0142 (0.0147) loss_rec_all: 0.0504 (0.0509) loss_rec_sfr: 0.0737 (0.0700) loss_cl: -0.3678 (-0.3675) time: 0.8634 data: 0.0002 max mem: 29859 [00:28:55.380236] Epoch: [336] [100/850] eta: 0:11:13 lr: 0.001608 loss: 0.0134 (0.0146) loss_rec_all: 0.0498 (0.0508) loss_rec_sfr: 0.0732 (0.0714) loss_cl: -0.3680 (-0.3676) time: 0.8623 data: 0.0002 max mem: 29859 [00:29:12.623603] Epoch: [336] [120/850] eta: 0:10:51 lr: 0.001608 loss: 0.0141 (0.0145) loss_rec_all: 0.0502 (0.0508) loss_rec_sfr: 0.0555 (0.0709) loss_cl: -0.3676 (-0.3675) time: 0.8621 data: 0.0002 max mem: 29859 [00:29:29.845209] Epoch: [336] [140/850] eta: 0:10:30 lr: 0.001608 loss: 0.0148 (0.0146) loss_rec_all: 0.0509 (0.0509) loss_rec_sfr: 0.0572 (0.0703) loss_cl: -0.3676 (-0.3675) time: 0.8610 data: 0.0002 max mem: 29859 [00:29:47.189959] Epoch: [336] [160/850] eta: 0:10:10 lr: 0.001607 loss: 0.0157 (0.0149) loss_rec_all: 0.0518 (0.0511) loss_rec_sfr: 0.0786 (0.0709) loss_cl: -0.3668 (-0.3675) time: 0.8672 data: 0.0003 max mem: 29859 [00:30:04.429684] Epoch: [336] [180/850] eta: 0:09:51 lr: 0.001607 loss: 0.0161 (0.0150) loss_rec_all: 0.0521 (0.0512) loss_rec_sfr: 0.0773 (0.0719) loss_cl: -0.3670 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [00:30:21.715491] Epoch: [336] [200/850] eta: 0:09:32 lr: 0.001607 loss: 0.0142 (0.0150) loss_rec_all: 0.0505 (0.0513) loss_rec_sfr: 0.0743 (0.0720) loss_cl: -0.3671 (-0.3674) time: 0.8642 data: 0.0002 max mem: 29859 [00:30:38.992946] Epoch: [336] [220/850] eta: 0:09:13 lr: 0.001607 loss: 0.0155 (0.0151) loss_rec_all: 0.0518 (0.0513) loss_rec_sfr: 0.0596 (0.0723) loss_cl: -0.3671 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [00:30:56.285940] Epoch: [336] [240/850] eta: 0:08:55 lr: 0.001607 loss: 0.0134 (0.0150) loss_rec_all: 0.0497 (0.0512) loss_rec_sfr: 0.0510 (0.0713) loss_cl: -0.3671 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [00:31:13.539997] Epoch: [336] [260/850] eta: 0:08:37 lr: 0.001607 loss: 0.0140 (0.0150) loss_rec_all: 0.0503 (0.0512) loss_rec_sfr: 0.0591 (0.0715) loss_cl: -0.3674 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [00:31:30.813069] Epoch: [336] [280/850] eta: 0:08:19 lr: 0.001607 loss: 0.0147 (0.0150) loss_rec_all: 0.0509 (0.0512) loss_rec_sfr: 0.0754 (0.0719) loss_cl: -0.3670 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [00:31:48.084262] Epoch: [336] [300/850] eta: 0:08:01 lr: 0.001607 loss: 0.0142 (0.0150) loss_rec_all: 0.0505 (0.0512) loss_rec_sfr: 0.0548 (0.0719) loss_cl: -0.3667 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [00:32:05.365531] Epoch: [336] [320/850] eta: 0:07:43 lr: 0.001607 loss: 0.0144 (0.0150) loss_rec_all: 0.0507 (0.0512) loss_rec_sfr: 0.0786 (0.0726) loss_cl: -0.3673 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [00:32:22.616492] Epoch: [336] [340/850] eta: 0:07:25 lr: 0.001607 loss: 0.0156 (0.0150) loss_rec_all: 0.0516 (0.0512) loss_rec_sfr: 0.0735 (0.0729) loss_cl: -0.3670 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [00:32:39.903131] Epoch: [336] [360/850] eta: 0:07:07 lr: 0.001606 loss: 0.0130 (0.0149) loss_rec_all: 0.0493 (0.0511) loss_rec_sfr: 0.0492 (0.0725) loss_cl: -0.3676 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [00:32:57.137305] Epoch: [336] [380/850] eta: 0:06:50 lr: 0.001606 loss: 0.0143 (0.0149) loss_rec_all: 0.0503 (0.0511) loss_rec_sfr: 0.0629 (0.0725) loss_cl: -0.3676 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [00:33:14.531462] Epoch: [336] [400/850] eta: 0:06:32 lr: 0.001606 loss: 0.0126 (0.0148) loss_rec_all: 0.0491 (0.0510) loss_rec_sfr: 0.0511 (0.0721) loss_cl: -0.3676 (-0.3673) time: 0.8697 data: 0.0003 max mem: 29859 [00:33:31.778874] Epoch: [336] [420/850] eta: 0:06:14 lr: 0.001606 loss: 0.0139 (0.0148) loss_rec_all: 0.0501 (0.0510) loss_rec_sfr: 0.0553 (0.0720) loss_cl: -0.3669 (-0.3673) time: 0.8623 data: 0.0003 max mem: 29859 [00:33:49.070877] Epoch: [336] [440/850] eta: 0:05:57 lr: 0.001606 loss: 0.0128 (0.0147) loss_rec_all: 0.0492 (0.0509) loss_rec_sfr: 0.0513 (0.0715) loss_cl: -0.3674 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [00:34:06.318084] Epoch: [336] [460/850] eta: 0:05:39 lr: 0.001606 loss: 0.0143 (0.0147) loss_rec_all: 0.0505 (0.0509) loss_rec_sfr: 0.0527 (0.0716) loss_cl: -0.3671 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [00:34:23.589990] Epoch: [336] [480/850] eta: 0:05:22 lr: 0.001606 loss: 0.0126 (0.0146) loss_rec_all: 0.0490 (0.0509) loss_rec_sfr: 0.0681 (0.0715) loss_cl: -0.3672 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [00:34:40.818911] Epoch: [336] [500/850] eta: 0:05:04 lr: 0.001606 loss: 0.0136 (0.0146) loss_rec_all: 0.0501 (0.0508) loss_rec_sfr: 0.0548 (0.0714) loss_cl: -0.3677 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [00:34:58.068768] Epoch: [336] [520/850] eta: 0:04:47 lr: 0.001605 loss: 0.0131 (0.0146) loss_rec_all: 0.0495 (0.0508) loss_rec_sfr: 0.0696 (0.0714) loss_cl: -0.3684 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [00:35:15.285669] Epoch: [336] [540/850] eta: 0:04:29 lr: 0.001605 loss: 0.0148 (0.0146) loss_rec_all: 0.0512 (0.0509) loss_rec_sfr: 0.0740 (0.0716) loss_cl: -0.3683 (-0.3674) time: 0.8607 data: 0.0002 max mem: 29859 [00:35:32.530944] Epoch: [336] [560/850] eta: 0:04:12 lr: 0.001605 loss: 0.0140 (0.0146) loss_rec_all: 0.0500 (0.0509) loss_rec_sfr: 0.0545 (0.0717) loss_cl: -0.3677 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [00:35:49.761155] Epoch: [336] [580/850] eta: 0:03:54 lr: 0.001605 loss: 0.0148 (0.0146) loss_rec_all: 0.0507 (0.0509) loss_rec_sfr: 0.0888 (0.0720) loss_cl: -0.3670 (-0.3674) time: 0.8615 data: 0.0002 max mem: 29859 [00:36:07.027239] Epoch: [336] [600/850] eta: 0:03:37 lr: 0.001605 loss: 0.0132 (0.0146) loss_rec_all: 0.0495 (0.0509) loss_rec_sfr: 0.0541 (0.0718) loss_cl: -0.3668 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [00:36:24.296643] Epoch: [336] [620/850] eta: 0:03:19 lr: 0.001605 loss: 0.0147 (0.0146) loss_rec_all: 0.0507 (0.0509) loss_rec_sfr: 0.0723 (0.0718) loss_cl: -0.3666 (-0.3673) time: 0.8634 data: 0.0003 max mem: 29859 [00:36:41.638346] Epoch: [336] [640/850] eta: 0:03:02 lr: 0.001605 loss: 0.0152 (0.0147) loss_rec_all: 0.0513 (0.0509) loss_rec_sfr: 0.0727 (0.0718) loss_cl: -0.3668 (-0.3673) time: 0.8670 data: 0.0004 max mem: 29859 [00:36:58.932703] Epoch: [336] [660/850] eta: 0:02:45 lr: 0.001605 loss: 0.0135 (0.0147) loss_rec_all: 0.0500 (0.0509) loss_rec_sfr: 0.0750 (0.0718) loss_cl: -0.3674 (-0.3673) time: 0.8647 data: 0.0003 max mem: 29859 [00:37:16.220074] Epoch: [336] [680/850] eta: 0:02:27 lr: 0.001605 loss: 0.0143 (0.0147) loss_rec_all: 0.0507 (0.0509) loss_rec_sfr: 0.0504 (0.0717) loss_cl: -0.3680 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [00:37:33.484451] Epoch: [336] [700/850] eta: 0:02:10 lr: 0.001605 loss: 0.0152 (0.0147) loss_rec_all: 0.0514 (0.0510) loss_rec_sfr: 0.0572 (0.0717) loss_cl: -0.3681 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [00:37:50.775136] Epoch: [336] [720/850] eta: 0:01:52 lr: 0.001604 loss: 0.0141 (0.0147) loss_rec_all: 0.0505 (0.0510) loss_rec_sfr: 0.0592 (0.0718) loss_cl: -0.3679 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [00:38:08.024160] Epoch: [336] [740/850] eta: 0:01:35 lr: 0.001604 loss: 0.0158 (0.0148) loss_rec_all: 0.0518 (0.0510) loss_rec_sfr: 0.0843 (0.0722) loss_cl: -0.3679 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [00:38:25.337162] Epoch: [336] [760/850] eta: 0:01:18 lr: 0.001604 loss: 0.0160 (0.0148) loss_rec_all: 0.0523 (0.0510) loss_rec_sfr: 0.0745 (0.0723) loss_cl: -0.3675 (-0.3674) time: 0.8656 data: 0.0003 max mem: 29859 [00:38:42.583812] Epoch: [336] [780/850] eta: 0:01:00 lr: 0.001604 loss: 0.0154 (0.0149) loss_rec_all: 0.0518 (0.0511) loss_rec_sfr: 0.0577 (0.0723) loss_cl: -0.3672 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [00:38:59.893558] Epoch: [336] [800/850] eta: 0:00:43 lr: 0.001604 loss: 0.0163 (0.0149) loss_rec_all: 0.0524 (0.0511) loss_rec_sfr: 0.0793 (0.0724) loss_cl: -0.3672 (-0.3674) time: 0.8654 data: 0.0002 max mem: 29859 [00:39:17.157513] Epoch: [336] [820/850] eta: 0:00:26 lr: 0.001604 loss: 0.0163 (0.0149) loss_rec_all: 0.0523 (0.0512) loss_rec_sfr: 0.0815 (0.0726) loss_cl: -0.3678 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [00:39:34.448734] Epoch: [336] [840/850] eta: 0:00:08 lr: 0.001604 loss: 0.0140 (0.0149) loss_rec_all: 0.0504 (0.0512) loss_rec_sfr: 0.0572 (0.0726) loss_cl: -0.3677 (-0.3674) time: 0.8645 data: 0.0005 max mem: 29859 [00:39:42.207219] Epoch: [336] [849/850] eta: 0:00:00 lr: 0.001604 loss: 0.0148 (0.0150) loss_rec_all: 0.0510 (0.0512) loss_rec_sfr: 0.0572 (0.0729) loss_cl: -0.3677 (-0.3674) time: 0.8639 data: 0.0004 max mem: 29859 [00:39:42.325239] Epoch: [336] Total time: 0:12:17 (0.8678 s / it) [00:39:42.337349] Averaged stats: lr: 0.001604 loss: 0.0148 (0.0150) loss_rec_all: 0.0510 (0.0512) loss_rec_sfr: 0.0572 (0.0727) loss_cl: -0.3677 (-0.3673) [00:39:42.343817] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [00:39:47.053343] Epoch: [337] [ 0/850] eta: 1:06:42 lr: 0.001604 loss: 0.0141 (0.0141) loss_rec_all: 0.0504 (0.0504) loss_rec_sfr: 0.0526 (0.0526) loss_cl: -0.3666 (-0.3666) time: 4.7088 data: 3.8530 max mem: 29859 [00:40:04.294481] Epoch: [337] [ 20/850] eta: 0:14:27 lr: 0.001604 loss: 0.0157 (0.0151) loss_rec_all: 0.0517 (0.0512) loss_rec_sfr: 0.0740 (0.0778) loss_cl: -0.3674 (-0.3671) time: 0.8620 data: 0.0002 max mem: 29859 [00:40:21.626086] Epoch: [337] [ 40/850] eta: 0:12:55 lr: 0.001603 loss: 0.0133 (0.0146) loss_rec_all: 0.0495 (0.0508) loss_rec_sfr: 0.0573 (0.0713) loss_cl: -0.3665 (-0.3668) time: 0.8665 data: 0.0005 max mem: 29859 [00:40:38.867109] Epoch: [337] [ 60/850] eta: 0:12:11 lr: 0.001603 loss: 0.0136 (0.0143) loss_rec_all: 0.0497 (0.0505) loss_rec_sfr: 0.0700 (0.0718) loss_cl: -0.3665 (-0.3667) time: 0.8620 data: 0.0002 max mem: 29859 [00:40:56.131175] Epoch: [337] [ 80/850] eta: 0:11:41 lr: 0.001603 loss: 0.0130 (0.0141) loss_rec_all: 0.0493 (0.0503) loss_rec_sfr: 0.0530 (0.0711) loss_cl: -0.3672 (-0.3668) time: 0.8632 data: 0.0002 max mem: 29859 [00:41:13.394723] Epoch: [337] [100/850] eta: 0:11:16 lr: 0.001603 loss: 0.0139 (0.0142) loss_rec_all: 0.0503 (0.0504) loss_rec_sfr: 0.0703 (0.0709) loss_cl: -0.3675 (-0.3670) time: 0.8630 data: 0.0002 max mem: 29859 [00:41:30.681929] Epoch: [337] [120/850] eta: 0:10:53 lr: 0.001603 loss: 0.0124 (0.0141) loss_rec_all: 0.0489 (0.0503) loss_rec_sfr: 0.0531 (0.0704) loss_cl: -0.3675 (-0.3671) time: 0.8643 data: 0.0003 max mem: 29859 [00:41:47.920744] Epoch: [337] [140/850] eta: 0:10:32 lr: 0.001603 loss: 0.0131 (0.0140) loss_rec_all: 0.0494 (0.0502) loss_rec_sfr: 0.0572 (0.0698) loss_cl: -0.3677 (-0.3671) time: 0.8619 data: 0.0002 max mem: 29859 [00:42:05.236509] Epoch: [337] [160/850] eta: 0:10:12 lr: 0.001603 loss: 0.0134 (0.0139) loss_rec_all: 0.0495 (0.0502) loss_rec_sfr: 0.0549 (0.0691) loss_cl: -0.3677 (-0.3672) time: 0.8657 data: 0.0003 max mem: 29859 [00:42:22.473326] Epoch: [337] [180/850] eta: 0:09:52 lr: 0.001603 loss: 0.0139 (0.0140) loss_rec_all: 0.0503 (0.0502) loss_rec_sfr: 0.0537 (0.0693) loss_cl: -0.3672 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [00:42:39.786532] Epoch: [337] [200/850] eta: 0:09:33 lr: 0.001603 loss: 0.0133 (0.0141) loss_rec_all: 0.0496 (0.0503) loss_rec_sfr: 0.0742 (0.0697) loss_cl: -0.3672 (-0.3672) time: 0.8656 data: 0.0002 max mem: 29859 [00:42:57.041596] Epoch: [337] [220/850] eta: 0:09:14 lr: 0.001602 loss: 0.0138 (0.0141) loss_rec_all: 0.0499 (0.0503) loss_rec_sfr: 0.0701 (0.0699) loss_cl: -0.3672 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [00:43:14.324839] Epoch: [337] [240/850] eta: 0:08:56 lr: 0.001602 loss: 0.0141 (0.0141) loss_rec_all: 0.0504 (0.0503) loss_rec_sfr: 0.0708 (0.0700) loss_cl: -0.3677 (-0.3672) time: 0.8641 data: 0.0002 max mem: 29859 [00:43:31.677429] Epoch: [337] [260/850] eta: 0:08:38 lr: 0.001602 loss: 0.0140 (0.0141) loss_rec_all: 0.0502 (0.0504) loss_rec_sfr: 0.0721 (0.0706) loss_cl: -0.3679 (-0.3672) time: 0.8676 data: 0.0004 max mem: 29859 [00:43:48.974084] Epoch: [337] [280/850] eta: 0:08:20 lr: 0.001602 loss: 0.0130 (0.0141) loss_rec_all: 0.0492 (0.0503) loss_rec_sfr: 0.0573 (0.0703) loss_cl: -0.3681 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [00:44:06.254085] Epoch: [337] [300/850] eta: 0:08:02 lr: 0.001602 loss: 0.0136 (0.0141) loss_rec_all: 0.0499 (0.0503) loss_rec_sfr: 0.0581 (0.0705) loss_cl: -0.3674 (-0.3673) time: 0.8639 data: 0.0008 max mem: 29859 [00:44:23.573111] Epoch: [337] [320/850] eta: 0:07:44 lr: 0.001602 loss: 0.0126 (0.0140) loss_rec_all: 0.0489 (0.0503) loss_rec_sfr: 0.0584 (0.0703) loss_cl: -0.3668 (-0.3673) time: 0.8659 data: 0.0002 max mem: 29859 [00:44:40.821065] Epoch: [337] [340/850] eta: 0:07:26 lr: 0.001602 loss: 0.0129 (0.0140) loss_rec_all: 0.0490 (0.0502) loss_rec_sfr: 0.0557 (0.0704) loss_cl: -0.3668 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [00:44:58.117122] Epoch: [337] [360/850] eta: 0:07:08 lr: 0.001602 loss: 0.0132 (0.0140) loss_rec_all: 0.0495 (0.0502) loss_rec_sfr: 0.0721 (0.0704) loss_cl: -0.3667 (-0.3672) time: 0.8647 data: 0.0002 max mem: 29859 [00:45:15.357873] Epoch: [337] [380/850] eta: 0:06:50 lr: 0.001602 loss: 0.0131 (0.0140) loss_rec_all: 0.0494 (0.0502) loss_rec_sfr: 0.0660 (0.0704) loss_cl: -0.3672 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [00:45:32.643974] Epoch: [337] [400/850] eta: 0:06:33 lr: 0.001601 loss: 0.0141 (0.0140) loss_rec_all: 0.0501 (0.0502) loss_rec_sfr: 0.0760 (0.0707) loss_cl: -0.3670 (-0.3672) time: 0.8643 data: 0.0002 max mem: 29859 [00:45:49.907052] Epoch: [337] [420/850] eta: 0:06:15 lr: 0.001601 loss: 0.0141 (0.0141) loss_rec_all: 0.0504 (0.0503) loss_rec_sfr: 0.0530 (0.0706) loss_cl: -0.3675 (-0.3672) time: 0.8631 data: 0.0003 max mem: 29859 [00:46:07.188283] Epoch: [337] [440/850] eta: 0:05:57 lr: 0.001601 loss: 0.0138 (0.0141) loss_rec_all: 0.0499 (0.0503) loss_rec_sfr: 0.0579 (0.0706) loss_cl: -0.3681 (-0.3672) time: 0.8640 data: 0.0002 max mem: 29859 [00:46:24.455430] Epoch: [337] [460/850] eta: 0:05:40 lr: 0.001601 loss: 0.0142 (0.0141) loss_rec_all: 0.0505 (0.0503) loss_rec_sfr: 0.0546 (0.0705) loss_cl: -0.3677 (-0.3673) time: 0.8633 data: 0.0003 max mem: 29859 [00:46:41.726764] Epoch: [337] [480/850] eta: 0:05:22 lr: 0.001601 loss: 0.0145 (0.0142) loss_rec_all: 0.0509 (0.0504) loss_rec_sfr: 0.0740 (0.0708) loss_cl: -0.3681 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [00:46:59.012218] Epoch: [337] [500/850] eta: 0:05:05 lr: 0.001601 loss: 0.0138 (0.0142) loss_rec_all: 0.0500 (0.0504) loss_rec_sfr: 0.0571 (0.0708) loss_cl: -0.3670 (-0.3673) time: 0.8642 data: 0.0003 max mem: 29859 [00:47:16.341864] Epoch: [337] [520/850] eta: 0:04:47 lr: 0.001601 loss: 0.0140 (0.0142) loss_rec_all: 0.0504 (0.0504) loss_rec_sfr: 0.0719 (0.0709) loss_cl: -0.3667 (-0.3673) time: 0.8664 data: 0.0004 max mem: 29859 [00:47:33.589076] Epoch: [337] [540/850] eta: 0:04:30 lr: 0.001601 loss: 0.0143 (0.0142) loss_rec_all: 0.0505 (0.0504) loss_rec_sfr: 0.0547 (0.0708) loss_cl: -0.3669 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [00:47:50.902492] Epoch: [337] [560/850] eta: 0:04:12 lr: 0.001601 loss: 0.0147 (0.0142) loss_rec_all: 0.0510 (0.0504) loss_rec_sfr: 0.0617 (0.0708) loss_cl: -0.3668 (-0.3672) time: 0.8656 data: 0.0002 max mem: 29859 [00:48:08.150563] Epoch: [337] [580/850] eta: 0:03:55 lr: 0.001601 loss: 0.0142 (0.0142) loss_rec_all: 0.0504 (0.0504) loss_rec_sfr: 0.0554 (0.0709) loss_cl: -0.3666 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [00:48:25.451957] Epoch: [337] [600/850] eta: 0:03:37 lr: 0.001600 loss: 0.0136 (0.0142) loss_rec_all: 0.0499 (0.0504) loss_rec_sfr: 0.0564 (0.0709) loss_cl: -0.3673 (-0.3672) time: 0.8649 data: 0.0002 max mem: 29859 [00:48:42.708259] Epoch: [337] [620/850] eta: 0:03:20 lr: 0.001600 loss: 0.0132 (0.0142) loss_rec_all: 0.0496 (0.0504) loss_rec_sfr: 0.0547 (0.0707) loss_cl: -0.3674 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [00:48:59.998877] Epoch: [337] [640/850] eta: 0:03:02 lr: 0.001600 loss: 0.0143 (0.0142) loss_rec_all: 0.0507 (0.0505) loss_rec_sfr: 0.0551 (0.0706) loss_cl: -0.3672 (-0.3672) time: 0.8645 data: 0.0002 max mem: 29859 [00:49:17.211705] Epoch: [337] [660/850] eta: 0:02:45 lr: 0.001600 loss: 0.0141 (0.0142) loss_rec_all: 0.0505 (0.0505) loss_rec_sfr: 0.0566 (0.0707) loss_cl: -0.3675 (-0.3672) time: 0.8605 data: 0.0002 max mem: 29859 [00:49:34.451730] Epoch: [337] [680/850] eta: 0:02:27 lr: 0.001600 loss: 0.0163 (0.0143) loss_rec_all: 0.0522 (0.0505) loss_rec_sfr: 0.0830 (0.0712) loss_cl: -0.3681 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [00:49:51.694427] Epoch: [337] [700/850] eta: 0:02:10 lr: 0.001600 loss: 0.0134 (0.0143) loss_rec_all: 0.0497 (0.0505) loss_rec_sfr: 0.0746 (0.0711) loss_cl: -0.3678 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [00:50:08.967812] Epoch: [337] [720/850] eta: 0:01:52 lr: 0.001600 loss: 0.0143 (0.0143) loss_rec_all: 0.0507 (0.0505) loss_rec_sfr: 0.0740 (0.0713) loss_cl: -0.3680 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [00:50:26.255488] Epoch: [337] [740/850] eta: 0:01:35 lr: 0.001600 loss: 0.0144 (0.0143) loss_rec_all: 0.0509 (0.0506) loss_rec_sfr: 0.0506 (0.0713) loss_cl: -0.3681 (-0.3673) time: 0.8643 data: 0.0003 max mem: 29859 [00:50:43.555243] Epoch: [337] [760/850] eta: 0:01:18 lr: 0.001600 loss: 0.0141 (0.0143) loss_rec_all: 0.0506 (0.0506) loss_rec_sfr: 0.0553 (0.0711) loss_cl: -0.3681 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [00:51:00.787774] Epoch: [337] [780/850] eta: 0:01:00 lr: 0.001599 loss: 0.0140 (0.0144) loss_rec_all: 0.0504 (0.0506) loss_rec_sfr: 0.0669 (0.0712) loss_cl: -0.3676 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [00:51:18.136746] Epoch: [337] [800/850] eta: 0:00:43 lr: 0.001599 loss: 0.0145 (0.0144) loss_rec_all: 0.0509 (0.0506) loss_rec_sfr: 0.0616 (0.0713) loss_cl: -0.3673 (-0.3673) time: 0.8674 data: 0.0003 max mem: 29859 [00:51:35.386199] Epoch: [337] [820/850] eta: 0:00:26 lr: 0.001599 loss: 0.0146 (0.0144) loss_rec_all: 0.0509 (0.0506) loss_rec_sfr: 0.0533 (0.0712) loss_cl: -0.3670 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [00:51:52.652777] Epoch: [337] [840/850] eta: 0:00:08 lr: 0.001599 loss: 0.0146 (0.0144) loss_rec_all: 0.0509 (0.0507) loss_rec_sfr: 0.0730 (0.0714) loss_cl: -0.3666 (-0.3673) time: 0.8633 data: 0.0004 max mem: 29859 [00:52:00.413822] Epoch: [337] [849/850] eta: 0:00:00 lr: 0.001599 loss: 0.0146 (0.0144) loss_rec_all: 0.0509 (0.0507) loss_rec_sfr: 0.0557 (0.0713) loss_cl: -0.3665 (-0.3673) time: 0.8635 data: 0.0003 max mem: 29859 [00:52:00.548218] Epoch: [337] Total time: 0:12:18 (0.8685 s / it) [00:52:00.550149] Averaged stats: lr: 0.001599 loss: 0.0146 (0.0145) loss_rec_all: 0.0509 (0.0507) loss_rec_sfr: 0.0557 (0.0716) loss_cl: -0.3665 (-0.3673) [00:52:00.559684] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [00:52:04.508670] Epoch: [338] [ 0/850] eta: 0:55:56 lr: 0.001599 loss: 0.0145 (0.0145) loss_rec_all: 0.0505 (0.0505) loss_rec_sfr: 0.0975 (0.0975) loss_cl: -0.3667 (-0.3667) time: 3.9483 data: 3.0944 max mem: 29859 [00:52:21.723902] Epoch: [338] [ 20/850] eta: 0:13:56 lr: 0.001599 loss: 0.0148 (0.0154) loss_rec_all: 0.0507 (0.0515) loss_rec_sfr: 0.0730 (0.0800) loss_cl: -0.3670 (-0.3668) time: 0.8607 data: 0.0002 max mem: 29859 [00:52:38.983579] Epoch: [338] [ 40/850] eta: 0:12:39 lr: 0.001599 loss: 0.0138 (0.0150) loss_rec_all: 0.0498 (0.0512) loss_rec_sfr: 0.0720 (0.0770) loss_cl: -0.3671 (-0.3668) time: 0.8629 data: 0.0002 max mem: 29859 [00:52:56.210144] Epoch: [338] [ 60/850] eta: 0:12:00 lr: 0.001599 loss: 0.0136 (0.0148) loss_rec_all: 0.0501 (0.0510) loss_rec_sfr: 0.0719 (0.0761) loss_cl: -0.3672 (-0.3669) time: 0.8613 data: 0.0002 max mem: 29859 [00:53:13.478309] Epoch: [338] [ 80/850] eta: 0:11:33 lr: 0.001599 loss: 0.0134 (0.0146) loss_rec_all: 0.0497 (0.0508) loss_rec_sfr: 0.0561 (0.0751) loss_cl: -0.3674 (-0.3670) time: 0.8634 data: 0.0002 max mem: 29859 [00:53:30.731921] Epoch: [338] [100/850] eta: 0:11:09 lr: 0.001598 loss: 0.0129 (0.0144) loss_rec_all: 0.0492 (0.0505) loss_rec_sfr: 0.0539 (0.0741) loss_cl: -0.3677 (-0.3671) time: 0.8626 data: 0.0003 max mem: 29859 [00:53:48.125637] Epoch: [338] [120/850] eta: 0:10:48 lr: 0.001598 loss: 0.0123 (0.0141) loss_rec_all: 0.0487 (0.0503) loss_rec_sfr: 0.0489 (0.0725) loss_cl: -0.3677 (-0.3672) time: 0.8696 data: 0.0003 max mem: 29859 [00:54:05.394524] Epoch: [338] [140/850] eta: 0:10:28 lr: 0.001598 loss: 0.0138 (0.0142) loss_rec_all: 0.0502 (0.0504) loss_rec_sfr: 0.0556 (0.0719) loss_cl: -0.3676 (-0.3672) time: 0.8634 data: 0.0003 max mem: 29859 [00:54:22.681087] Epoch: [338] [160/850] eta: 0:10:09 lr: 0.001598 loss: 0.0142 (0.0141) loss_rec_all: 0.0503 (0.0504) loss_rec_sfr: 0.0690 (0.0722) loss_cl: -0.3679 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [00:54:39.938744] Epoch: [338] [180/850] eta: 0:09:49 lr: 0.001598 loss: 0.0131 (0.0140) loss_rec_all: 0.0494 (0.0503) loss_rec_sfr: 0.0539 (0.0714) loss_cl: -0.3683 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [00:54:57.217194] Epoch: [338] [200/850] eta: 0:09:31 lr: 0.001598 loss: 0.0144 (0.0141) loss_rec_all: 0.0506 (0.0504) loss_rec_sfr: 0.0712 (0.0715) loss_cl: -0.3674 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [00:55:14.460135] Epoch: [338] [220/850] eta: 0:09:12 lr: 0.001598 loss: 0.0140 (0.0142) loss_rec_all: 0.0501 (0.0504) loss_rec_sfr: 0.0554 (0.0714) loss_cl: -0.3666 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [00:55:31.781620] Epoch: [338] [240/850] eta: 0:08:54 lr: 0.001598 loss: 0.0131 (0.0142) loss_rec_all: 0.0493 (0.0504) loss_rec_sfr: 0.0545 (0.0709) loss_cl: -0.3672 (-0.3673) time: 0.8660 data: 0.0002 max mem: 29859 [00:55:49.018785] Epoch: [338] [260/850] eta: 0:08:36 lr: 0.001598 loss: 0.0128 (0.0141) loss_rec_all: 0.0490 (0.0503) loss_rec_sfr: 0.0533 (0.0701) loss_cl: -0.3664 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [00:56:06.304737] Epoch: [338] [280/850] eta: 0:08:18 lr: 0.001597 loss: 0.0131 (0.0141) loss_rec_all: 0.0492 (0.0503) loss_rec_sfr: 0.0544 (0.0699) loss_cl: -0.3666 (-0.3672) time: 0.8643 data: 0.0002 max mem: 29859 [00:56:23.547303] Epoch: [338] [300/850] eta: 0:08:00 lr: 0.001597 loss: 0.0134 (0.0141) loss_rec_all: 0.0496 (0.0503) loss_rec_sfr: 0.0731 (0.0701) loss_cl: -0.3672 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [00:56:40.841941] Epoch: [338] [320/850] eta: 0:07:42 lr: 0.001597 loss: 0.0124 (0.0141) loss_rec_all: 0.0487 (0.0503) loss_rec_sfr: 0.0510 (0.0697) loss_cl: -0.3675 (-0.3672) time: 0.8647 data: 0.0002 max mem: 29859 [00:56:58.097210] Epoch: [338] [340/850] eta: 0:07:24 lr: 0.001597 loss: 0.0127 (0.0140) loss_rec_all: 0.0490 (0.0503) loss_rec_sfr: 0.0541 (0.0694) loss_cl: -0.3677 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [00:57:15.403796] Epoch: [338] [360/850] eta: 0:07:07 lr: 0.001597 loss: 0.0139 (0.0141) loss_rec_all: 0.0503 (0.0503) loss_rec_sfr: 0.0530 (0.0695) loss_cl: -0.3678 (-0.3672) time: 0.8653 data: 0.0002 max mem: 29859 [00:57:32.691856] Epoch: [338] [380/850] eta: 0:06:49 lr: 0.001597 loss: 0.0144 (0.0141) loss_rec_all: 0.0505 (0.0503) loss_rec_sfr: 0.0675 (0.0698) loss_cl: -0.3682 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [00:57:49.985692] Epoch: [338] [400/850] eta: 0:06:32 lr: 0.001597 loss: 0.0142 (0.0141) loss_rec_all: 0.0506 (0.0503) loss_rec_sfr: 0.0701 (0.0699) loss_cl: -0.3677 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [00:58:07.248786] Epoch: [338] [420/850] eta: 0:06:14 lr: 0.001597 loss: 0.0143 (0.0141) loss_rec_all: 0.0502 (0.0504) loss_rec_sfr: 0.0725 (0.0700) loss_cl: -0.3674 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [00:58:24.543576] Epoch: [338] [440/850] eta: 0:05:56 lr: 0.001597 loss: 0.0140 (0.0141) loss_rec_all: 0.0503 (0.0504) loss_rec_sfr: 0.0569 (0.0700) loss_cl: -0.3672 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [00:58:41.794837] Epoch: [338] [460/850] eta: 0:05:39 lr: 0.001596 loss: 0.0135 (0.0142) loss_rec_all: 0.0498 (0.0504) loss_rec_sfr: 0.0711 (0.0701) loss_cl: -0.3671 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [00:58:59.108236] Epoch: [338] [480/850] eta: 0:05:21 lr: 0.001596 loss: 0.0139 (0.0142) loss_rec_all: 0.0503 (0.0504) loss_rec_sfr: 0.0565 (0.0700) loss_cl: -0.3676 (-0.3673) time: 0.8656 data: 0.0002 max mem: 29859 [00:59:16.387815] Epoch: [338] [500/850] eta: 0:05:04 lr: 0.001596 loss: 0.0147 (0.0142) loss_rec_all: 0.0507 (0.0504) loss_rec_sfr: 0.0711 (0.0701) loss_cl: -0.3678 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [00:59:33.726134] Epoch: [338] [520/850] eta: 0:04:47 lr: 0.001596 loss: 0.0146 (0.0142) loss_rec_all: 0.0509 (0.0505) loss_rec_sfr: 0.0758 (0.0704) loss_cl: -0.3676 (-0.3673) time: 0.8669 data: 0.0002 max mem: 29859 [00:59:51.011046] Epoch: [338] [540/850] eta: 0:04:29 lr: 0.001596 loss: 0.0129 (0.0142) loss_rec_all: 0.0492 (0.0504) loss_rec_sfr: 0.0521 (0.0701) loss_cl: -0.3675 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [01:00:08.359417] Epoch: [338] [560/850] eta: 0:04:12 lr: 0.001596 loss: 0.0128 (0.0142) loss_rec_all: 0.0491 (0.0504) loss_rec_sfr: 0.0534 (0.0700) loss_cl: -0.3669 (-0.3673) time: 0.8674 data: 0.0002 max mem: 29859 [01:00:25.710083] Epoch: [338] [580/850] eta: 0:03:54 lr: 0.001596 loss: 0.0146 (0.0142) loss_rec_all: 0.0509 (0.0504) loss_rec_sfr: 0.0697 (0.0701) loss_cl: -0.3673 (-0.3673) time: 0.8675 data: 0.0003 max mem: 29859 [01:00:43.089626] Epoch: [338] [600/850] eta: 0:03:37 lr: 0.001596 loss: 0.0143 (0.0142) loss_rec_all: 0.0506 (0.0504) loss_rec_sfr: 0.0560 (0.0699) loss_cl: -0.3671 (-0.3673) time: 0.8689 data: 0.0010 max mem: 29859 [01:01:00.355392] Epoch: [338] [620/850] eta: 0:03:19 lr: 0.001596 loss: 0.0139 (0.0142) loss_rec_all: 0.0500 (0.0505) loss_rec_sfr: 0.0600 (0.0699) loss_cl: -0.3677 (-0.3673) time: 0.8632 data: 0.0004 max mem: 29859 [01:01:17.647368] Epoch: [338] [640/850] eta: 0:03:02 lr: 0.001595 loss: 0.0129 (0.0142) loss_rec_all: 0.0492 (0.0504) loss_rec_sfr: 0.0513 (0.0695) loss_cl: -0.3679 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [01:01:34.923810] Epoch: [338] [660/850] eta: 0:02:45 lr: 0.001595 loss: 0.0128 (0.0142) loss_rec_all: 0.0493 (0.0504) loss_rec_sfr: 0.0545 (0.0693) loss_cl: -0.3679 (-0.3673) time: 0.8638 data: 0.0003 max mem: 29859 [01:01:52.206557] Epoch: [338] [680/850] eta: 0:02:27 lr: 0.001595 loss: 0.0135 (0.0142) loss_rec_all: 0.0499 (0.0504) loss_rec_sfr: 0.0586 (0.0693) loss_cl: -0.3675 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [01:02:09.476944] Epoch: [338] [700/850] eta: 0:02:10 lr: 0.001595 loss: 0.0125 (0.0141) loss_rec_all: 0.0488 (0.0504) loss_rec_sfr: 0.0486 (0.0692) loss_cl: -0.3669 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [01:02:26.768300] Epoch: [338] [720/850] eta: 0:01:52 lr: 0.001595 loss: 0.0130 (0.0141) loss_rec_all: 0.0492 (0.0504) loss_rec_sfr: 0.0529 (0.0690) loss_cl: -0.3669 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [01:02:44.004818] Epoch: [338] [740/850] eta: 0:01:35 lr: 0.001595 loss: 0.0141 (0.0141) loss_rec_all: 0.0505 (0.0504) loss_rec_sfr: 0.0560 (0.0689) loss_cl: -0.3668 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [01:03:01.278377] Epoch: [338] [760/850] eta: 0:01:18 lr: 0.001595 loss: 0.0137 (0.0142) loss_rec_all: 0.0502 (0.0504) loss_rec_sfr: 0.0701 (0.0690) loss_cl: -0.3677 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [01:03:18.506876] Epoch: [338] [780/850] eta: 0:01:00 lr: 0.001595 loss: 0.0144 (0.0142) loss_rec_all: 0.0506 (0.0504) loss_rec_sfr: 0.0740 (0.0691) loss_cl: -0.3680 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [01:03:35.815767] Epoch: [338] [800/850] eta: 0:00:43 lr: 0.001595 loss: 0.0137 (0.0142) loss_rec_all: 0.0499 (0.0504) loss_rec_sfr: 0.0755 (0.0692) loss_cl: -0.3677 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [01:03:53.110366] Epoch: [338] [820/850] eta: 0:00:26 lr: 0.001595 loss: 0.0149 (0.0142) loss_rec_all: 0.0509 (0.0504) loss_rec_sfr: 0.0909 (0.0697) loss_cl: -0.3678 (-0.3673) time: 0.8647 data: 0.0003 max mem: 29859 [01:04:10.389917] Epoch: [338] [840/850] eta: 0:00:08 lr: 0.001594 loss: 0.0140 (0.0142) loss_rec_all: 0.0504 (0.0504) loss_rec_sfr: 0.0577 (0.0696) loss_cl: -0.3676 (-0.3673) time: 0.8639 data: 0.0005 max mem: 29859 [01:04:18.162717] Epoch: [338] [849/850] eta: 0:00:00 lr: 0.001594 loss: 0.0140 (0.0142) loss_rec_all: 0.0504 (0.0505) loss_rec_sfr: 0.0606 (0.0697) loss_cl: -0.3675 (-0.3673) time: 0.8642 data: 0.0005 max mem: 29859 [01:04:18.330503] Epoch: [338] Total time: 0:12:17 (0.8680 s / it) [01:04:18.332259] Averaged stats: lr: 0.001594 loss: 0.0140 (0.0142) loss_rec_all: 0.0504 (0.0505) loss_rec_sfr: 0.0606 (0.0700) loss_cl: -0.3675 (-0.3673) [01:04:18.340343] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [01:04:23.470525] Epoch: [339] [ 0/850] eta: 1:12:39 lr: 0.001594 loss: 0.0108 (0.0108) loss_rec_all: 0.0472 (0.0472) loss_rec_sfr: 0.0476 (0.0476) loss_cl: -0.3680 (-0.3680) time: 5.1292 data: 4.0016 max mem: 29859 [01:04:40.709614] Epoch: [339] [ 20/850] eta: 0:14:44 lr: 0.001594 loss: 0.0132 (0.0144) loss_rec_all: 0.0494 (0.0507) loss_rec_sfr: 0.0701 (0.0698) loss_cl: -0.3673 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [01:04:57.982576] Epoch: [339] [ 40/850] eta: 0:13:03 lr: 0.001594 loss: 0.0145 (0.0146) loss_rec_all: 0.0505 (0.0508) loss_rec_sfr: 0.0692 (0.0696) loss_cl: -0.3666 (-0.3671) time: 0.8636 data: 0.0002 max mem: 29859 [01:05:15.239452] Epoch: [339] [ 60/850] eta: 0:12:16 lr: 0.001594 loss: 0.0135 (0.0144) loss_rec_all: 0.0498 (0.0506) loss_rec_sfr: 0.0532 (0.0680) loss_cl: -0.3670 (-0.3670) time: 0.8628 data: 0.0002 max mem: 29859 [01:05:32.513331] Epoch: [339] [ 80/850] eta: 0:11:45 lr: 0.001594 loss: 0.0139 (0.0144) loss_rec_all: 0.0500 (0.0506) loss_rec_sfr: 0.0551 (0.0680) loss_cl: -0.3672 (-0.3670) time: 0.8636 data: 0.0002 max mem: 29859 [01:05:49.745174] Epoch: [339] [100/850] eta: 0:11:18 lr: 0.001594 loss: 0.0133 (0.0142) loss_rec_all: 0.0498 (0.0504) loss_rec_sfr: 0.0852 (0.0695) loss_cl: -0.3676 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [01:06:07.036979] Epoch: [339] [120/850] eta: 0:10:55 lr: 0.001594 loss: 0.0125 (0.0141) loss_rec_all: 0.0489 (0.0504) loss_rec_sfr: 0.0502 (0.0676) loss_cl: -0.3682 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [01:06:24.288107] Epoch: [339] [140/850] eta: 0:10:34 lr: 0.001594 loss: 0.0152 (0.0143) loss_rec_all: 0.0514 (0.0506) loss_rec_sfr: 0.0756 (0.0688) loss_cl: -0.3682 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [01:06:41.587044] Epoch: [339] [160/850] eta: 0:10:13 lr: 0.001593 loss: 0.0143 (0.0144) loss_rec_all: 0.0506 (0.0507) loss_rec_sfr: 0.0567 (0.0699) loss_cl: -0.3674 (-0.3674) time: 0.8649 data: 0.0002 max mem: 29859 [01:06:58.817254] Epoch: [339] [180/850] eta: 0:09:53 lr: 0.001593 loss: 0.0143 (0.0145) loss_rec_all: 0.0504 (0.0507) loss_rec_sfr: 0.0572 (0.0701) loss_cl: -0.3673 (-0.3674) time: 0.8615 data: 0.0002 max mem: 29859 [01:07:16.120110] Epoch: [339] [200/850] eta: 0:09:34 lr: 0.001593 loss: 0.0136 (0.0145) loss_rec_all: 0.0498 (0.0507) loss_rec_sfr: 0.0514 (0.0702) loss_cl: -0.3668 (-0.3674) time: 0.8651 data: 0.0003 max mem: 29859 [01:07:33.441344] Epoch: [339] [220/850] eta: 0:09:16 lr: 0.001593 loss: 0.0143 (0.0144) loss_rec_all: 0.0506 (0.0507) loss_rec_sfr: 0.0539 (0.0701) loss_cl: -0.3669 (-0.3673) time: 0.8660 data: 0.0012 max mem: 29859 [01:07:50.744045] Epoch: [339] [240/850] eta: 0:08:57 lr: 0.001593 loss: 0.0143 (0.0145) loss_rec_all: 0.0504 (0.0507) loss_rec_sfr: 0.0739 (0.0706) loss_cl: -0.3668 (-0.3673) time: 0.8651 data: 0.0002 max mem: 29859 [01:08:08.023522] Epoch: [339] [260/850] eta: 0:08:39 lr: 0.001593 loss: 0.0129 (0.0144) loss_rec_all: 0.0493 (0.0506) loss_rec_sfr: 0.0812 (0.0710) loss_cl: -0.3671 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [01:08:25.364179] Epoch: [339] [280/850] eta: 0:08:21 lr: 0.001593 loss: 0.0144 (0.0143) loss_rec_all: 0.0504 (0.0506) loss_rec_sfr: 0.0683 (0.0711) loss_cl: -0.3673 (-0.3673) time: 0.8670 data: 0.0002 max mem: 29859 [01:08:42.609594] Epoch: [339] [300/850] eta: 0:08:02 lr: 0.001593 loss: 0.0136 (0.0144) loss_rec_all: 0.0497 (0.0506) loss_rec_sfr: 0.0775 (0.0715) loss_cl: -0.3676 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [01:08:59.920825] Epoch: [339] [320/850] eta: 0:07:44 lr: 0.001593 loss: 0.0140 (0.0144) loss_rec_all: 0.0501 (0.0506) loss_rec_sfr: 0.0664 (0.0714) loss_cl: -0.3678 (-0.3673) time: 0.8655 data: 0.0002 max mem: 29859 [01:09:17.181164] Epoch: [339] [340/850] eta: 0:07:26 lr: 0.001592 loss: 0.0132 (0.0144) loss_rec_all: 0.0493 (0.0506) loss_rec_sfr: 0.0538 (0.0710) loss_cl: -0.3684 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [01:09:34.478204] Epoch: [339] [360/850] eta: 0:07:09 lr: 0.001592 loss: 0.0130 (0.0143) loss_rec_all: 0.0494 (0.0506) loss_rec_sfr: 0.0540 (0.0710) loss_cl: -0.3682 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [01:09:51.762690] Epoch: [339] [380/850] eta: 0:06:51 lr: 0.001592 loss: 0.0142 (0.0143) loss_rec_all: 0.0502 (0.0506) loss_rec_sfr: 0.0523 (0.0708) loss_cl: -0.3676 (-0.3674) time: 0.8642 data: 0.0003 max mem: 29859 [01:10:09.046944] Epoch: [339] [400/850] eta: 0:06:33 lr: 0.001592 loss: 0.0139 (0.0144) loss_rec_all: 0.0500 (0.0506) loss_rec_sfr: 0.0528 (0.0704) loss_cl: -0.3669 (-0.3674) time: 0.8642 data: 0.0002 max mem: 29859 [01:10:26.308783] Epoch: [339] [420/850] eta: 0:06:15 lr: 0.001592 loss: 0.0141 (0.0144) loss_rec_all: 0.0502 (0.0506) loss_rec_sfr: 0.0560 (0.0703) loss_cl: -0.3665 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [01:10:43.674227] Epoch: [339] [440/850] eta: 0:05:58 lr: 0.001592 loss: 0.0132 (0.0143) loss_rec_all: 0.0495 (0.0506) loss_rec_sfr: 0.0499 (0.0701) loss_cl: -0.3665 (-0.3673) time: 0.8682 data: 0.0002 max mem: 29859 [01:11:00.936745] Epoch: [339] [460/850] eta: 0:05:40 lr: 0.001592 loss: 0.0158 (0.0144) loss_rec_all: 0.0518 (0.0506) loss_rec_sfr: 0.0713 (0.0704) loss_cl: -0.3676 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [01:11:18.228255] Epoch: [339] [480/850] eta: 0:05:22 lr: 0.001592 loss: 0.0152 (0.0144) loss_rec_all: 0.0515 (0.0507) loss_rec_sfr: 0.0662 (0.0705) loss_cl: -0.3675 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [01:11:35.508050] Epoch: [339] [500/850] eta: 0:05:05 lr: 0.001592 loss: 0.0147 (0.0145) loss_rec_all: 0.0509 (0.0507) loss_rec_sfr: 0.0739 (0.0707) loss_cl: -0.3675 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [01:11:52.782646] Epoch: [339] [520/850] eta: 0:04:47 lr: 0.001591 loss: 0.0135 (0.0145) loss_rec_all: 0.0499 (0.0507) loss_rec_sfr: 0.0556 (0.0707) loss_cl: -0.3679 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [01:12:10.066364] Epoch: [339] [540/850] eta: 0:04:30 lr: 0.001591 loss: 0.0142 (0.0145) loss_rec_all: 0.0506 (0.0507) loss_rec_sfr: 0.0607 (0.0705) loss_cl: -0.3677 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [01:12:27.373743] Epoch: [339] [560/850] eta: 0:04:12 lr: 0.001591 loss: 0.0139 (0.0145) loss_rec_all: 0.0504 (0.0507) loss_rec_sfr: 0.0557 (0.0702) loss_cl: -0.3676 (-0.3674) time: 0.8653 data: 0.0003 max mem: 29859 [01:12:44.615127] Epoch: [339] [580/850] eta: 0:03:55 lr: 0.001591 loss: 0.0148 (0.0145) loss_rec_all: 0.0511 (0.0507) loss_rec_sfr: 0.0755 (0.0706) loss_cl: -0.3677 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [01:13:01.962667] Epoch: [339] [600/850] eta: 0:03:37 lr: 0.001591 loss: 0.0137 (0.0145) loss_rec_all: 0.0498 (0.0507) loss_rec_sfr: 0.0552 (0.0705) loss_cl: -0.3675 (-0.3674) time: 0.8672 data: 0.0002 max mem: 29859 [01:13:19.211927] Epoch: [339] [620/850] eta: 0:03:20 lr: 0.001591 loss: 0.0144 (0.0145) loss_rec_all: 0.0507 (0.0507) loss_rec_sfr: 0.0564 (0.0705) loss_cl: -0.3675 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [01:13:36.486865] Epoch: [339] [640/850] eta: 0:03:02 lr: 0.001591 loss: 0.0143 (0.0145) loss_rec_all: 0.0505 (0.0507) loss_rec_sfr: 0.0575 (0.0704) loss_cl: -0.3674 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [01:13:53.763944] Epoch: [339] [660/850] eta: 0:02:45 lr: 0.001591 loss: 0.0161 (0.0145) loss_rec_all: 0.0519 (0.0508) loss_rec_sfr: 0.0788 (0.0708) loss_cl: -0.3666 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [01:14:11.052313] Epoch: [339] [680/850] eta: 0:02:27 lr: 0.001591 loss: 0.0145 (0.0146) loss_rec_all: 0.0506 (0.0508) loss_rec_sfr: 0.0574 (0.0708) loss_cl: -0.3666 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [01:14:28.382146] Epoch: [339] [700/850] eta: 0:02:10 lr: 0.001590 loss: 0.0137 (0.0146) loss_rec_all: 0.0501 (0.0508) loss_rec_sfr: 0.0571 (0.0708) loss_cl: -0.3669 (-0.3673) time: 0.8664 data: 0.0011 max mem: 29859 [01:14:45.706326] Epoch: [339] [720/850] eta: 0:01:53 lr: 0.001590 loss: 0.0142 (0.0145) loss_rec_all: 0.0503 (0.0508) loss_rec_sfr: 0.0551 (0.0707) loss_cl: -0.3671 (-0.3673) time: 0.8662 data: 0.0002 max mem: 29859 [01:15:02.964056] Epoch: [339] [740/850] eta: 0:01:35 lr: 0.001590 loss: 0.0139 (0.0145) loss_rec_all: 0.0502 (0.0508) loss_rec_sfr: 0.0500 (0.0707) loss_cl: -0.3677 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [01:15:20.270002] Epoch: [339] [760/850] eta: 0:01:18 lr: 0.001590 loss: 0.0141 (0.0145) loss_rec_all: 0.0501 (0.0508) loss_rec_sfr: 0.0726 (0.0708) loss_cl: -0.3683 (-0.3674) time: 0.8653 data: 0.0002 max mem: 29859 [01:15:37.536087] Epoch: [339] [780/850] eta: 0:01:00 lr: 0.001590 loss: 0.0135 (0.0145) loss_rec_all: 0.0499 (0.0507) loss_rec_sfr: 0.0711 (0.0709) loss_cl: -0.3679 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [01:15:54.828430] Epoch: [339] [800/850] eta: 0:00:43 lr: 0.001590 loss: 0.0128 (0.0145) loss_rec_all: 0.0491 (0.0507) loss_rec_sfr: 0.0552 (0.0708) loss_cl: -0.3672 (-0.3674) time: 0.8646 data: 0.0002 max mem: 29859 [01:16:12.108165] Epoch: [339] [820/850] eta: 0:00:26 lr: 0.001590 loss: 0.0136 (0.0145) loss_rec_all: 0.0498 (0.0507) loss_rec_sfr: 0.0728 (0.0710) loss_cl: -0.3676 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [01:16:29.398445] Epoch: [339] [840/850] eta: 0:00:08 lr: 0.001590 loss: 0.0172 (0.0146) loss_rec_all: 0.0536 (0.0508) loss_rec_sfr: 0.0739 (0.0712) loss_cl: -0.3679 (-0.3674) time: 0.8645 data: 0.0005 max mem: 29859 [01:16:37.162933] Epoch: [339] [849/850] eta: 0:00:00 lr: 0.001590 loss: 0.0177 (0.0146) loss_rec_all: 0.0540 (0.0508) loss_rec_sfr: 0.0739 (0.0713) loss_cl: -0.3678 (-0.3674) time: 0.8643 data: 0.0004 max mem: 29859 [01:16:37.309105] Epoch: [339] Total time: 0:12:18 (0.8694 s / it) [01:16:37.311868] Averaged stats: lr: 0.001590 loss: 0.0177 (0.0145) loss_rec_all: 0.0540 (0.0507) loss_rec_sfr: 0.0739 (0.0709) loss_cl: -0.3678 (-0.3673) [01:16:37.326600] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [01:16:41.494183] Epoch: [340] [ 0/850] eta: 0:59:01 lr: 0.001590 loss: 0.0154 (0.0154) loss_rec_all: 0.0518 (0.0518) loss_rec_sfr: 0.0497 (0.0497) loss_cl: -0.3673 (-0.3673) time: 4.1666 data: 3.3033 max mem: 29859 [01:16:58.742418] Epoch: [340] [ 20/850] eta: 0:14:06 lr: 0.001590 loss: 0.0157 (0.0165) loss_rec_all: 0.0521 (0.0527) loss_rec_sfr: 0.0636 (0.0720) loss_cl: -0.3676 (-0.3676) time: 0.8624 data: 0.0002 max mem: 29859 [01:17:16.008044] Epoch: [340] [ 40/850] eta: 0:12:44 lr: 0.001589 loss: 0.0164 (0.0167) loss_rec_all: 0.0528 (0.0529) loss_rec_sfr: 0.0662 (0.0737) loss_cl: -0.3676 (-0.3676) time: 0.8632 data: 0.0002 max mem: 29859 [01:17:33.288922] Epoch: [340] [ 60/850] eta: 0:12:04 lr: 0.001589 loss: 0.0161 (0.0167) loss_rec_all: 0.0524 (0.0530) loss_rec_sfr: 0.0706 (0.0745) loss_cl: -0.3671 (-0.3675) time: 0.8640 data: 0.0003 max mem: 29859 [01:17:50.623320] Epoch: [340] [ 80/850] eta: 0:11:36 lr: 0.001589 loss: 0.0157 (0.0167) loss_rec_all: 0.0519 (0.0529) loss_rec_sfr: 0.0772 (0.0749) loss_cl: -0.3674 (-0.3675) time: 0.8667 data: 0.0003 max mem: 29859 [01:18:07.899575] Epoch: [340] [100/850] eta: 0:11:12 lr: 0.001589 loss: 0.0148 (0.0164) loss_rec_all: 0.0508 (0.0526) loss_rec_sfr: 0.0840 (0.0766) loss_cl: -0.3674 (-0.3675) time: 0.8638 data: 0.0002 max mem: 29859 [01:18:25.191875] Epoch: [340] [120/850] eta: 0:10:50 lr: 0.001589 loss: 0.0145 (0.0162) loss_rec_all: 0.0509 (0.0524) loss_rec_sfr: 0.0734 (0.0771) loss_cl: -0.3673 (-0.3674) time: 0.8646 data: 0.0002 max mem: 29859 [01:18:42.473679] Epoch: [340] [140/850] eta: 0:10:30 lr: 0.001589 loss: 0.0147 (0.0160) loss_rec_all: 0.0506 (0.0522) loss_rec_sfr: 0.0687 (0.0771) loss_cl: -0.3664 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [01:18:59.797349] Epoch: [340] [160/850] eta: 0:10:10 lr: 0.001589 loss: 0.0141 (0.0158) loss_rec_all: 0.0503 (0.0520) loss_rec_sfr: 0.0694 (0.0760) loss_cl: -0.3665 (-0.3672) time: 0.8661 data: 0.0002 max mem: 29859 [01:19:17.041836] Epoch: [340] [180/850] eta: 0:09:51 lr: 0.001589 loss: 0.0143 (0.0157) loss_rec_all: 0.0503 (0.0518) loss_rec_sfr: 0.0727 (0.0758) loss_cl: -0.3671 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [01:19:34.353035] Epoch: [340] [200/850] eta: 0:09:32 lr: 0.001589 loss: 0.0124 (0.0154) loss_rec_all: 0.0487 (0.0516) loss_rec_sfr: 0.0688 (0.0752) loss_cl: -0.3678 (-0.3672) time: 0.8655 data: 0.0002 max mem: 29859 [01:19:51.590719] Epoch: [340] [220/850] eta: 0:09:13 lr: 0.001588 loss: 0.0139 (0.0153) loss_rec_all: 0.0501 (0.0515) loss_rec_sfr: 0.0709 (0.0749) loss_cl: -0.3682 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [01:20:08.886915] Epoch: [340] [240/850] eta: 0:08:55 lr: 0.001588 loss: 0.0135 (0.0151) loss_rec_all: 0.0498 (0.0513) loss_rec_sfr: 0.0721 (0.0747) loss_cl: -0.3680 (-0.3674) time: 0.8647 data: 0.0003 max mem: 29859 [01:20:26.146187] Epoch: [340] [260/850] eta: 0:08:37 lr: 0.001588 loss: 0.0116 (0.0149) loss_rec_all: 0.0479 (0.0511) loss_rec_sfr: 0.0522 (0.0739) loss_cl: -0.3675 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [01:20:43.432811] Epoch: [340] [280/850] eta: 0:08:19 lr: 0.001588 loss: 0.0127 (0.0148) loss_rec_all: 0.0491 (0.0510) loss_rec_sfr: 0.0499 (0.0729) loss_cl: -0.3672 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [01:21:00.742964] Epoch: [340] [300/850] eta: 0:08:01 lr: 0.001588 loss: 0.0149 (0.0148) loss_rec_all: 0.0508 (0.0510) loss_rec_sfr: 0.0734 (0.0731) loss_cl: -0.3674 (-0.3674) time: 0.8655 data: 0.0003 max mem: 29859 [01:21:18.028181] Epoch: [340] [320/850] eta: 0:07:43 lr: 0.001588 loss: 0.0137 (0.0147) loss_rec_all: 0.0497 (0.0510) loss_rec_sfr: 0.0697 (0.0731) loss_cl: -0.3672 (-0.3674) time: 0.8642 data: 0.0002 max mem: 29859 [01:21:35.275055] Epoch: [340] [340/850] eta: 0:07:25 lr: 0.001588 loss: 0.0136 (0.0147) loss_rec_all: 0.0500 (0.0510) loss_rec_sfr: 0.0543 (0.0729) loss_cl: -0.3671 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [01:21:52.615420] Epoch: [340] [360/850] eta: 0:07:07 lr: 0.001588 loss: 0.0141 (0.0148) loss_rec_all: 0.0504 (0.0510) loss_rec_sfr: 0.0721 (0.0729) loss_cl: -0.3675 (-0.3674) time: 0.8670 data: 0.0006 max mem: 29859 [01:22:09.872318] Epoch: [340] [380/850] eta: 0:06:50 lr: 0.001588 loss: 0.0139 (0.0147) loss_rec_all: 0.0502 (0.0510) loss_rec_sfr: 0.0516 (0.0724) loss_cl: -0.3674 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [01:22:27.167462] Epoch: [340] [400/850] eta: 0:06:32 lr: 0.001587 loss: 0.0145 (0.0147) loss_rec_all: 0.0506 (0.0510) loss_rec_sfr: 0.0727 (0.0724) loss_cl: -0.3672 (-0.3674) time: 0.8647 data: 0.0002 max mem: 29859 [01:22:44.426174] Epoch: [340] [420/850] eta: 0:06:14 lr: 0.001587 loss: 0.0132 (0.0147) loss_rec_all: 0.0495 (0.0509) loss_rec_sfr: 0.0577 (0.0722) loss_cl: -0.3669 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [01:23:01.706809] Epoch: [340] [440/850] eta: 0:05:57 lr: 0.001587 loss: 0.0139 (0.0147) loss_rec_all: 0.0499 (0.0509) loss_rec_sfr: 0.0730 (0.0722) loss_cl: -0.3666 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [01:23:18.961235] Epoch: [340] [460/850] eta: 0:05:39 lr: 0.001587 loss: 0.0136 (0.0147) loss_rec_all: 0.0500 (0.0509) loss_rec_sfr: 0.0495 (0.0722) loss_cl: -0.3675 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [01:23:36.249054] Epoch: [340] [480/850] eta: 0:05:22 lr: 0.001587 loss: 0.0144 (0.0147) loss_rec_all: 0.0508 (0.0509) loss_rec_sfr: 0.0769 (0.0722) loss_cl: -0.3679 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [01:23:53.514922] Epoch: [340] [500/850] eta: 0:05:04 lr: 0.001587 loss: 0.0132 (0.0146) loss_rec_all: 0.0493 (0.0509) loss_rec_sfr: 0.0526 (0.0719) loss_cl: -0.3681 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [01:24:10.837753] Epoch: [340] [520/850] eta: 0:04:47 lr: 0.001587 loss: 0.0138 (0.0146) loss_rec_all: 0.0499 (0.0508) loss_rec_sfr: 0.0538 (0.0717) loss_cl: -0.3674 (-0.3674) time: 0.8660 data: 0.0002 max mem: 29859 [01:24:28.098926] Epoch: [340] [540/850] eta: 0:04:29 lr: 0.001587 loss: 0.0138 (0.0146) loss_rec_all: 0.0499 (0.0509) loss_rec_sfr: 0.0734 (0.0719) loss_cl: -0.3668 (-0.3674) time: 0.8630 data: 0.0003 max mem: 29859 [01:24:45.479647] Epoch: [340] [560/850] eta: 0:04:12 lr: 0.001587 loss: 0.0174 (0.0147) loss_rec_all: 0.0533 (0.0509) loss_rec_sfr: 0.0762 (0.0723) loss_cl: -0.3666 (-0.3673) time: 0.8690 data: 0.0003 max mem: 29859 [01:25:02.760094] Epoch: [340] [580/850] eta: 0:03:54 lr: 0.001586 loss: 0.0134 (0.0147) loss_rec_all: 0.0497 (0.0509) loss_rec_sfr: 0.0519 (0.0720) loss_cl: -0.3671 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [01:25:20.055726] Epoch: [340] [600/850] eta: 0:03:37 lr: 0.001586 loss: 0.0144 (0.0147) loss_rec_all: 0.0508 (0.0509) loss_rec_sfr: 0.0756 (0.0720) loss_cl: -0.3676 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [01:25:37.340864] Epoch: [340] [620/850] eta: 0:03:19 lr: 0.001586 loss: 0.0130 (0.0146) loss_rec_all: 0.0493 (0.0509) loss_rec_sfr: 0.0571 (0.0720) loss_cl: -0.3678 (-0.3673) time: 0.8642 data: 0.0003 max mem: 29859 [01:25:54.630739] Epoch: [340] [640/850] eta: 0:03:02 lr: 0.001586 loss: 0.0131 (0.0146) loss_rec_all: 0.0495 (0.0508) loss_rec_sfr: 0.0496 (0.0718) loss_cl: -0.3680 (-0.3674) time: 0.8644 data: 0.0002 max mem: 29859 [01:26:11.877884] Epoch: [340] [660/850] eta: 0:02:45 lr: 0.001586 loss: 0.0134 (0.0146) loss_rec_all: 0.0497 (0.0508) loss_rec_sfr: 0.0569 (0.0718) loss_cl: -0.3679 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [01:26:29.168257] Epoch: [340] [680/850] eta: 0:02:27 lr: 0.001586 loss: 0.0130 (0.0146) loss_rec_all: 0.0494 (0.0508) loss_rec_sfr: 0.0546 (0.0717) loss_cl: -0.3674 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [01:26:46.409000] Epoch: [340] [700/850] eta: 0:02:10 lr: 0.001586 loss: 0.0131 (0.0146) loss_rec_all: 0.0491 (0.0508) loss_rec_sfr: 0.0541 (0.0715) loss_cl: -0.3671 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [01:27:03.742339] Epoch: [340] [720/850] eta: 0:01:52 lr: 0.001586 loss: 0.0128 (0.0145) loss_rec_all: 0.0489 (0.0507) loss_rec_sfr: 0.0501 (0.0712) loss_cl: -0.3670 (-0.3674) time: 0.8666 data: 0.0002 max mem: 29859 [01:27:20.978137] Epoch: [340] [740/850] eta: 0:01:35 lr: 0.001586 loss: 0.0142 (0.0145) loss_rec_all: 0.0502 (0.0508) loss_rec_sfr: 0.0740 (0.0713) loss_cl: -0.3671 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [01:27:38.274410] Epoch: [340] [760/850] eta: 0:01:18 lr: 0.001585 loss: 0.0142 (0.0145) loss_rec_all: 0.0503 (0.0508) loss_rec_sfr: 0.0551 (0.0713) loss_cl: -0.3675 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [01:27:55.546060] Epoch: [340] [780/850] eta: 0:01:00 lr: 0.001585 loss: 0.0130 (0.0145) loss_rec_all: 0.0494 (0.0507) loss_rec_sfr: 0.0566 (0.0713) loss_cl: -0.3678 (-0.3674) time: 0.8635 data: 0.0003 max mem: 29859 [01:28:12.833880] Epoch: [340] [800/850] eta: 0:00:43 lr: 0.001585 loss: 0.0126 (0.0145) loss_rec_all: 0.0490 (0.0507) loss_rec_sfr: 0.0532 (0.0711) loss_cl: -0.3681 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [01:28:30.131323] Epoch: [340] [820/850] eta: 0:00:26 lr: 0.001585 loss: 0.0143 (0.0145) loss_rec_all: 0.0507 (0.0507) loss_rec_sfr: 0.0538 (0.0710) loss_cl: -0.3677 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [01:28:47.436878] Epoch: [340] [840/850] eta: 0:00:08 lr: 0.001585 loss: 0.0141 (0.0145) loss_rec_all: 0.0501 (0.0507) loss_rec_sfr: 0.0570 (0.0710) loss_cl: -0.3672 (-0.3674) time: 0.8652 data: 0.0005 max mem: 29859 [01:28:55.196628] Epoch: [340] [849/850] eta: 0:00:00 lr: 0.001585 loss: 0.0137 (0.0145) loss_rec_all: 0.0499 (0.0507) loss_rec_sfr: 0.0535 (0.0709) loss_cl: -0.3671 (-0.3674) time: 0.8641 data: 0.0005 max mem: 29859 [01:28:55.337863] Epoch: [340] Total time: 0:12:18 (0.8682 s / it) [01:28:55.340236] Averaged stats: lr: 0.001585 loss: 0.0137 (0.0145) loss_rec_all: 0.0499 (0.0507) loss_rec_sfr: 0.0535 (0.0710) loss_cl: -0.3671 (-0.3673) [01:28:55.353033] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [01:28:59.749518] Epoch: [341] [ 0/850] eta: 1:02:16 lr: 0.001585 loss: 0.0113 (0.0113) loss_rec_all: 0.0477 (0.0477) loss_rec_sfr: 0.0483 (0.0483) loss_cl: -0.3669 (-0.3669) time: 4.3956 data: 3.3240 max mem: 29859 [01:29:16.992977] Epoch: [341] [ 20/850] eta: 0:14:15 lr: 0.001585 loss: 0.0147 (0.0152) loss_rec_all: 0.0511 (0.0514) loss_rec_sfr: 0.0722 (0.0768) loss_cl: -0.3674 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [01:29:34.276424] Epoch: [341] [ 40/850] eta: 0:12:48 lr: 0.001585 loss: 0.0144 (0.0150) loss_rec_all: 0.0507 (0.0512) loss_rec_sfr: 0.0589 (0.0731) loss_cl: -0.3668 (-0.3670) time: 0.8641 data: 0.0002 max mem: 29859 [01:29:51.511592] Epoch: [341] [ 60/850] eta: 0:12:07 lr: 0.001585 loss: 0.0138 (0.0147) loss_rec_all: 0.0501 (0.0509) loss_rec_sfr: 0.0493 (0.0712) loss_cl: -0.3670 (-0.3671) time: 0.8617 data: 0.0002 max mem: 29859 [01:30:08.808533] Epoch: [341] [ 80/850] eta: 0:11:38 lr: 0.001585 loss: 0.0132 (0.0146) loss_rec_all: 0.0495 (0.0508) loss_rec_sfr: 0.0586 (0.0710) loss_cl: -0.3670 (-0.3670) time: 0.8648 data: 0.0003 max mem: 29859 [01:30:26.038605] Epoch: [341] [100/850] eta: 0:11:13 lr: 0.001584 loss: 0.0124 (0.0142) loss_rec_all: 0.0487 (0.0504) loss_rec_sfr: 0.0543 (0.0703) loss_cl: -0.3672 (-0.3670) time: 0.8615 data: 0.0002 max mem: 29859 [01:30:43.331711] Epoch: [341] [120/850] eta: 0:10:51 lr: 0.001584 loss: 0.0128 (0.0141) loss_rec_all: 0.0489 (0.0503) loss_rec_sfr: 0.0536 (0.0691) loss_cl: -0.3675 (-0.3671) time: 0.8646 data: 0.0002 max mem: 29859 [01:31:00.568790] Epoch: [341] [140/850] eta: 0:10:30 lr: 0.001584 loss: 0.0128 (0.0141) loss_rec_all: 0.0492 (0.0503) loss_rec_sfr: 0.0687 (0.0692) loss_cl: -0.3679 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [01:31:17.852754] Epoch: [341] [160/850] eta: 0:10:10 lr: 0.001584 loss: 0.0138 (0.0141) loss_rec_all: 0.0500 (0.0504) loss_rec_sfr: 0.0721 (0.0695) loss_cl: -0.3681 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [01:31:35.136123] Epoch: [341] [180/850] eta: 0:09:51 lr: 0.001584 loss: 0.0131 (0.0141) loss_rec_all: 0.0495 (0.0503) loss_rec_sfr: 0.0547 (0.0694) loss_cl: -0.3675 (-0.3673) time: 0.8641 data: 0.0003 max mem: 29859 [01:31:52.420573] Epoch: [341] [200/850] eta: 0:09:32 lr: 0.001584 loss: 0.0134 (0.0141) loss_rec_all: 0.0495 (0.0503) loss_rec_sfr: 0.0562 (0.0698) loss_cl: -0.3675 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [01:32:09.674954] Epoch: [341] [220/850] eta: 0:09:13 lr: 0.001584 loss: 0.0138 (0.0140) loss_rec_all: 0.0500 (0.0503) loss_rec_sfr: 0.0551 (0.0703) loss_cl: -0.3670 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [01:32:26.995848] Epoch: [341] [240/850] eta: 0:08:55 lr: 0.001584 loss: 0.0132 (0.0140) loss_rec_all: 0.0495 (0.0502) loss_rec_sfr: 0.0548 (0.0701) loss_cl: -0.3667 (-0.3673) time: 0.8660 data: 0.0003 max mem: 29859 [01:32:44.250899] Epoch: [341] [260/850] eta: 0:08:37 lr: 0.001584 loss: 0.0136 (0.0140) loss_rec_all: 0.0499 (0.0502) loss_rec_sfr: 0.0696 (0.0703) loss_cl: -0.3670 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [01:33:01.566433] Epoch: [341] [280/850] eta: 0:08:19 lr: 0.001583 loss: 0.0137 (0.0141) loss_rec_all: 0.0502 (0.0503) loss_rec_sfr: 0.0724 (0.0706) loss_cl: -0.3679 (-0.3673) time: 0.8657 data: 0.0002 max mem: 29859 [01:33:18.800206] Epoch: [341] [300/850] eta: 0:08:01 lr: 0.001583 loss: 0.0129 (0.0140) loss_rec_all: 0.0493 (0.0503) loss_rec_sfr: 0.0538 (0.0700) loss_cl: -0.3685 (-0.3674) time: 0.8616 data: 0.0002 max mem: 29859 [01:33:36.073810] Epoch: [341] [320/850] eta: 0:07:43 lr: 0.001583 loss: 0.0129 (0.0140) loss_rec_all: 0.0493 (0.0503) loss_rec_sfr: 0.0502 (0.0692) loss_cl: -0.3673 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [01:33:53.334423] Epoch: [341] [340/850] eta: 0:07:25 lr: 0.001583 loss: 0.0136 (0.0140) loss_rec_all: 0.0499 (0.0503) loss_rec_sfr: 0.0547 (0.0691) loss_cl: -0.3668 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [01:34:10.612134] Epoch: [341] [360/850] eta: 0:07:07 lr: 0.001583 loss: 0.0141 (0.0140) loss_rec_all: 0.0503 (0.0503) loss_rec_sfr: 0.0562 (0.0693) loss_cl: -0.3671 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [01:34:27.885776] Epoch: [341] [380/850] eta: 0:06:50 lr: 0.001583 loss: 0.0141 (0.0141) loss_rec_all: 0.0503 (0.0503) loss_rec_sfr: 0.0538 (0.0691) loss_cl: -0.3671 (-0.3673) time: 0.8636 data: 0.0003 max mem: 29859 [01:34:45.212997] Epoch: [341] [400/850] eta: 0:06:32 lr: 0.001583 loss: 0.0139 (0.0141) loss_rec_all: 0.0503 (0.0503) loss_rec_sfr: 0.0568 (0.0691) loss_cl: -0.3672 (-0.3673) time: 0.8663 data: 0.0003 max mem: 29859 [01:35:02.455792] Epoch: [341] [420/850] eta: 0:06:14 lr: 0.001583 loss: 0.0150 (0.0142) loss_rec_all: 0.0511 (0.0504) loss_rec_sfr: 0.0764 (0.0695) loss_cl: -0.3674 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [01:35:19.838278] Epoch: [341] [440/850] eta: 0:05:57 lr: 0.001583 loss: 0.0146 (0.0142) loss_rec_all: 0.0509 (0.0505) loss_rec_sfr: 0.0741 (0.0698) loss_cl: -0.3678 (-0.3673) time: 0.8691 data: 0.0010 max mem: 29859 [01:35:37.099443] Epoch: [341] [460/850] eta: 0:05:39 lr: 0.001582 loss: 0.0145 (0.0142) loss_rec_all: 0.0509 (0.0505) loss_rec_sfr: 0.0568 (0.0699) loss_cl: -0.3677 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [01:35:54.384090] Epoch: [341] [480/850] eta: 0:05:22 lr: 0.001582 loss: 0.0152 (0.0143) loss_rec_all: 0.0514 (0.0505) loss_rec_sfr: 0.0738 (0.0703) loss_cl: -0.3678 (-0.3674) time: 0.8642 data: 0.0002 max mem: 29859 [01:36:11.661955] Epoch: [341] [500/850] eta: 0:05:04 lr: 0.001582 loss: 0.0133 (0.0143) loss_rec_all: 0.0495 (0.0505) loss_rec_sfr: 0.0703 (0.0703) loss_cl: -0.3674 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [01:36:28.939833] Epoch: [341] [520/850] eta: 0:04:47 lr: 0.001582 loss: 0.0132 (0.0143) loss_rec_all: 0.0496 (0.0505) loss_rec_sfr: 0.0530 (0.0699) loss_cl: -0.3674 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [01:36:46.180014] Epoch: [341] [540/850] eta: 0:04:29 lr: 0.001582 loss: 0.0135 (0.0142) loss_rec_all: 0.0498 (0.0505) loss_rec_sfr: 0.0550 (0.0697) loss_cl: -0.3672 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [01:37:03.456008] Epoch: [341] [560/850] eta: 0:04:12 lr: 0.001582 loss: 0.0129 (0.0142) loss_rec_all: 0.0493 (0.0504) loss_rec_sfr: 0.0539 (0.0695) loss_cl: -0.3673 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [01:37:20.695134] Epoch: [341] [580/850] eta: 0:03:54 lr: 0.001582 loss: 0.0140 (0.0142) loss_rec_all: 0.0501 (0.0504) loss_rec_sfr: 0.0698 (0.0696) loss_cl: -0.3670 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [01:37:37.988900] Epoch: [341] [600/850] eta: 0:03:37 lr: 0.001582 loss: 0.0137 (0.0142) loss_rec_all: 0.0498 (0.0504) loss_rec_sfr: 0.0562 (0.0696) loss_cl: -0.3670 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [01:37:55.233205] Epoch: [341] [620/850] eta: 0:03:19 lr: 0.001582 loss: 0.0144 (0.0142) loss_rec_all: 0.0505 (0.0504) loss_rec_sfr: 0.0712 (0.0697) loss_cl: -0.3669 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [01:38:12.580151] Epoch: [341] [640/850] eta: 0:03:02 lr: 0.001581 loss: 0.0156 (0.0143) loss_rec_all: 0.0515 (0.0505) loss_rec_sfr: 0.0778 (0.0701) loss_cl: -0.3671 (-0.3673) time: 0.8673 data: 0.0003 max mem: 29859 [01:38:29.823742] Epoch: [341] [660/850] eta: 0:02:45 lr: 0.001581 loss: 0.0141 (0.0143) loss_rec_all: 0.0504 (0.0505) loss_rec_sfr: 0.0573 (0.0699) loss_cl: -0.3674 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [01:38:47.100377] Epoch: [341] [680/850] eta: 0:02:27 lr: 0.001581 loss: 0.0142 (0.0143) loss_rec_all: 0.0505 (0.0505) loss_rec_sfr: 0.0549 (0.0699) loss_cl: -0.3676 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [01:39:04.372446] Epoch: [341] [700/850] eta: 0:02:10 lr: 0.001581 loss: 0.0142 (0.0143) loss_rec_all: 0.0506 (0.0505) loss_rec_sfr: 0.0563 (0.0698) loss_cl: -0.3676 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [01:39:21.646766] Epoch: [341] [720/850] eta: 0:01:52 lr: 0.001581 loss: 0.0145 (0.0143) loss_rec_all: 0.0508 (0.0506) loss_rec_sfr: 0.0709 (0.0699) loss_cl: -0.3679 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [01:39:38.899221] Epoch: [341] [740/850] eta: 0:01:35 lr: 0.001581 loss: 0.0143 (0.0143) loss_rec_all: 0.0506 (0.0506) loss_rec_sfr: 0.0566 (0.0701) loss_cl: -0.3678 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [01:39:56.179247] Epoch: [341] [760/850] eta: 0:01:18 lr: 0.001581 loss: 0.0138 (0.0143) loss_rec_all: 0.0502 (0.0506) loss_rec_sfr: 0.0524 (0.0698) loss_cl: -0.3673 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [01:40:13.418979] Epoch: [341] [780/850] eta: 0:01:00 lr: 0.001581 loss: 0.0134 (0.0143) loss_rec_all: 0.0498 (0.0506) loss_rec_sfr: 0.0518 (0.0696) loss_cl: -0.3670 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [01:40:30.704677] Epoch: [341] [800/850] eta: 0:00:43 lr: 0.001581 loss: 0.0132 (0.0143) loss_rec_all: 0.0496 (0.0505) loss_rec_sfr: 0.0501 (0.0696) loss_cl: -0.3671 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [01:40:47.944281] Epoch: [341] [820/850] eta: 0:00:26 lr: 0.001580 loss: 0.0141 (0.0143) loss_rec_all: 0.0505 (0.0505) loss_rec_sfr: 0.0573 (0.0696) loss_cl: -0.3670 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [01:41:05.238189] Epoch: [341] [840/850] eta: 0:00:08 lr: 0.001580 loss: 0.0141 (0.0143) loss_rec_all: 0.0503 (0.0506) loss_rec_sfr: 0.0568 (0.0696) loss_cl: -0.3675 (-0.3673) time: 0.8647 data: 0.0006 max mem: 29859 [01:41:12.997427] Epoch: [341] [849/850] eta: 0:00:00 lr: 0.001580 loss: 0.0136 (0.0143) loss_rec_all: 0.0497 (0.0506) loss_rec_sfr: 0.0546 (0.0696) loss_cl: -0.3678 (-0.3673) time: 0.8639 data: 0.0005 max mem: 29859 [01:41:13.146330] Epoch: [341] Total time: 0:12:17 (0.8680 s / it) [01:41:13.148732] Averaged stats: lr: 0.001580 loss: 0.0136 (0.0144) loss_rec_all: 0.0497 (0.0506) loss_rec_sfr: 0.0546 (0.0706) loss_cl: -0.3678 (-0.3673) [01:41:13.160167] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [01:41:17.821447] Epoch: [342] [ 0/850] eta: 1:06:01 lr: 0.001580 loss: 0.0135 (0.0135) loss_rec_all: 0.0495 (0.0495) loss_rec_sfr: 0.1070 (0.1070) loss_cl: -0.3671 (-0.3671) time: 4.6605 data: 3.6783 max mem: 29859 [01:41:35.046243] Epoch: [342] [ 20/850] eta: 0:14:24 lr: 0.001580 loss: 0.0126 (0.0134) loss_rec_all: 0.0490 (0.0497) loss_rec_sfr: 0.0556 (0.0744) loss_cl: -0.3677 (-0.3677) time: 0.8612 data: 0.0003 max mem: 29859 [01:41:52.378067] Epoch: [342] [ 40/850] eta: 0:12:54 lr: 0.001580 loss: 0.0126 (0.0135) loss_rec_all: 0.0491 (0.0498) loss_rec_sfr: 0.0525 (0.0692) loss_cl: -0.3678 (-0.3678) time: 0.8665 data: 0.0003 max mem: 29859 [01:42:09.623118] Epoch: [342] [ 60/850] eta: 0:12:11 lr: 0.001580 loss: 0.0121 (0.0134) loss_rec_all: 0.0486 (0.0497) loss_rec_sfr: 0.0540 (0.0688) loss_cl: -0.3680 (-0.3678) time: 0.8622 data: 0.0002 max mem: 29859 [01:42:26.919352] Epoch: [342] [ 80/850] eta: 0:11:41 lr: 0.001580 loss: 0.0122 (0.0132) loss_rec_all: 0.0486 (0.0495) loss_rec_sfr: 0.0518 (0.0686) loss_cl: -0.3672 (-0.3677) time: 0.8648 data: 0.0002 max mem: 29859 [01:42:44.154578] Epoch: [342] [100/850] eta: 0:11:15 lr: 0.001580 loss: 0.0142 (0.0133) loss_rec_all: 0.0504 (0.0496) loss_rec_sfr: 0.0684 (0.0698) loss_cl: -0.3672 (-0.3676) time: 0.8617 data: 0.0002 max mem: 29859 [01:43:01.419323] Epoch: [342] [120/850] eta: 0:10:53 lr: 0.001580 loss: 0.0126 (0.0133) loss_rec_all: 0.0488 (0.0496) loss_rec_sfr: 0.0538 (0.0696) loss_cl: -0.3674 (-0.3675) time: 0.8632 data: 0.0002 max mem: 29859 [01:43:18.649181] Epoch: [342] [140/850] eta: 0:10:31 lr: 0.001579 loss: 0.0128 (0.0134) loss_rec_all: 0.0491 (0.0496) loss_rec_sfr: 0.0569 (0.0688) loss_cl: -0.3677 (-0.3676) time: 0.8615 data: 0.0002 max mem: 29859 [01:43:35.924133] Epoch: [342] [160/850] eta: 0:10:11 lr: 0.001579 loss: 0.0144 (0.0135) loss_rec_all: 0.0505 (0.0498) loss_rec_sfr: 0.0828 (0.0707) loss_cl: -0.3679 (-0.3676) time: 0.8637 data: 0.0002 max mem: 29859 [01:43:53.179796] Epoch: [342] [180/850] eta: 0:09:52 lr: 0.001579 loss: 0.0134 (0.0136) loss_rec_all: 0.0499 (0.0498) loss_rec_sfr: 0.0687 (0.0706) loss_cl: -0.3680 (-0.3676) time: 0.8627 data: 0.0002 max mem: 29859 [01:44:10.460452] Epoch: [342] [200/850] eta: 0:09:33 lr: 0.001579 loss: 0.0127 (0.0135) loss_rec_all: 0.0492 (0.0498) loss_rec_sfr: 0.0519 (0.0700) loss_cl: -0.3678 (-0.3676) time: 0.8640 data: 0.0002 max mem: 29859 [01:44:27.719442] Epoch: [342] [220/850] eta: 0:09:14 lr: 0.001579 loss: 0.0141 (0.0136) loss_rec_all: 0.0505 (0.0499) loss_rec_sfr: 0.0708 (0.0700) loss_cl: -0.3674 (-0.3676) time: 0.8629 data: 0.0002 max mem: 29859 [01:44:45.002849] Epoch: [342] [240/850] eta: 0:08:56 lr: 0.001579 loss: 0.0135 (0.0137) loss_rec_all: 0.0499 (0.0499) loss_rec_sfr: 0.0589 (0.0701) loss_cl: -0.3673 (-0.3676) time: 0.8641 data: 0.0002 max mem: 29859 [01:45:02.250319] Epoch: [342] [260/850] eta: 0:08:37 lr: 0.001579 loss: 0.0150 (0.0138) loss_rec_all: 0.0510 (0.0501) loss_rec_sfr: 0.0735 (0.0706) loss_cl: -0.3675 (-0.3676) time: 0.8623 data: 0.0003 max mem: 29859 [01:45:19.621566] Epoch: [342] [280/850] eta: 0:08:19 lr: 0.001579 loss: 0.0147 (0.0139) loss_rec_all: 0.0510 (0.0502) loss_rec_sfr: 0.0603 (0.0708) loss_cl: -0.3674 (-0.3676) time: 0.8684 data: 0.0003 max mem: 29859 [01:45:36.868192] Epoch: [342] [300/850] eta: 0:08:01 lr: 0.001579 loss: 0.0144 (0.0140) loss_rec_all: 0.0507 (0.0503) loss_rec_sfr: 0.0557 (0.0707) loss_cl: -0.3670 (-0.3675) time: 0.8622 data: 0.0002 max mem: 29859 [01:45:54.157630] Epoch: [342] [320/850] eta: 0:07:43 lr: 0.001578 loss: 0.0142 (0.0141) loss_rec_all: 0.0504 (0.0503) loss_rec_sfr: 0.0509 (0.0703) loss_cl: -0.3670 (-0.3675) time: 0.8644 data: 0.0002 max mem: 29859 [01:46:11.422239] Epoch: [342] [340/850] eta: 0:07:26 lr: 0.001578 loss: 0.0144 (0.0141) loss_rec_all: 0.0504 (0.0504) loss_rec_sfr: 0.0704 (0.0704) loss_cl: -0.3667 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [01:46:28.702404] Epoch: [342] [360/850] eta: 0:07:08 lr: 0.001578 loss: 0.0140 (0.0142) loss_rec_all: 0.0504 (0.0504) loss_rec_sfr: 0.0707 (0.0704) loss_cl: -0.3671 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [01:46:45.981612] Epoch: [342] [380/850] eta: 0:06:50 lr: 0.001578 loss: 0.0141 (0.0142) loss_rec_all: 0.0506 (0.0504) loss_rec_sfr: 0.0737 (0.0705) loss_cl: -0.3676 (-0.3674) time: 0.8639 data: 0.0004 max mem: 29859 [01:47:03.266232] Epoch: [342] [400/850] eta: 0:06:32 lr: 0.001578 loss: 0.0129 (0.0142) loss_rec_all: 0.0493 (0.0504) loss_rec_sfr: 0.0505 (0.0702) loss_cl: -0.3674 (-0.3674) time: 0.8642 data: 0.0002 max mem: 29859 [01:47:20.527371] Epoch: [342] [420/850] eta: 0:06:15 lr: 0.001578 loss: 0.0126 (0.0141) loss_rec_all: 0.0491 (0.0504) loss_rec_sfr: 0.0482 (0.0701) loss_cl: -0.3676 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [01:47:37.819985] Epoch: [342] [440/850] eta: 0:05:57 lr: 0.001578 loss: 0.0126 (0.0141) loss_rec_all: 0.0490 (0.0503) loss_rec_sfr: 0.0518 (0.0701) loss_cl: -0.3672 (-0.3674) time: 0.8646 data: 0.0002 max mem: 29859 [01:47:55.066770] Epoch: [342] [460/850] eta: 0:05:39 lr: 0.001578 loss: 0.0140 (0.0141) loss_rec_all: 0.0500 (0.0503) loss_rec_sfr: 0.0727 (0.0704) loss_cl: -0.3667 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [01:48:12.422983] Epoch: [342] [480/850] eta: 0:05:22 lr: 0.001578 loss: 0.0126 (0.0141) loss_rec_all: 0.0489 (0.0503) loss_rec_sfr: 0.0534 (0.0701) loss_cl: -0.3668 (-0.3674) time: 0.8678 data: 0.0004 max mem: 29859 [01:48:29.680601] Epoch: [342] [500/850] eta: 0:05:04 lr: 0.001577 loss: 0.0121 (0.0140) loss_rec_all: 0.0485 (0.0503) loss_rec_sfr: 0.0512 (0.0698) loss_cl: -0.3677 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [01:48:46.970915] Epoch: [342] [520/850] eta: 0:04:47 lr: 0.001577 loss: 0.0123 (0.0140) loss_rec_all: 0.0486 (0.0502) loss_rec_sfr: 0.0718 (0.0699) loss_cl: -0.3675 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [01:49:04.264724] Epoch: [342] [540/850] eta: 0:04:29 lr: 0.001577 loss: 0.0127 (0.0139) loss_rec_all: 0.0489 (0.0502) loss_rec_sfr: 0.0501 (0.0694) loss_cl: -0.3672 (-0.3674) time: 0.8646 data: 0.0004 max mem: 29859 [01:49:21.555637] Epoch: [342] [560/850] eta: 0:04:12 lr: 0.001577 loss: 0.0151 (0.0140) loss_rec_all: 0.0514 (0.0503) loss_rec_sfr: 0.0719 (0.0697) loss_cl: -0.3674 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [01:49:38.798091] Epoch: [342] [580/850] eta: 0:03:54 lr: 0.001577 loss: 0.0162 (0.0141) loss_rec_all: 0.0525 (0.0503) loss_rec_sfr: 0.0705 (0.0698) loss_cl: -0.3673 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [01:49:56.149431] Epoch: [342] [600/850] eta: 0:03:37 lr: 0.001577 loss: 0.0168 (0.0142) loss_rec_all: 0.0529 (0.0504) loss_rec_sfr: 0.0796 (0.0701) loss_cl: -0.3677 (-0.3674) time: 0.8675 data: 0.0002 max mem: 29859 [01:50:13.392288] Epoch: [342] [620/850] eta: 0:03:20 lr: 0.001577 loss: 0.0158 (0.0142) loss_rec_all: 0.0520 (0.0505) loss_rec_sfr: 0.0859 (0.0705) loss_cl: -0.3682 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [01:50:30.703426] Epoch: [342] [640/850] eta: 0:03:02 lr: 0.001577 loss: 0.0139 (0.0143) loss_rec_all: 0.0505 (0.0505) loss_rec_sfr: 0.0532 (0.0704) loss_cl: -0.3686 (-0.3674) time: 0.8654 data: 0.0003 max mem: 29859 [01:50:47.940313] Epoch: [342] [660/850] eta: 0:02:45 lr: 0.001577 loss: 0.0147 (0.0143) loss_rec_all: 0.0512 (0.0505) loss_rec_sfr: 0.0691 (0.0704) loss_cl: -0.3682 (-0.3675) time: 0.8618 data: 0.0002 max mem: 29859 [01:51:05.223260] Epoch: [342] [680/850] eta: 0:02:27 lr: 0.001576 loss: 0.0150 (0.0143) loss_rec_all: 0.0510 (0.0506) loss_rec_sfr: 0.0733 (0.0705) loss_cl: -0.3673 (-0.3675) time: 0.8641 data: 0.0002 max mem: 29859 [01:51:22.492693] Epoch: [342] [700/850] eta: 0:02:10 lr: 0.001576 loss: 0.0133 (0.0143) loss_rec_all: 0.0494 (0.0505) loss_rec_sfr: 0.0545 (0.0706) loss_cl: -0.3667 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [01:51:39.766346] Epoch: [342] [720/850] eta: 0:01:52 lr: 0.001576 loss: 0.0141 (0.0143) loss_rec_all: 0.0503 (0.0505) loss_rec_sfr: 0.0722 (0.0707) loss_cl: -0.3661 (-0.3674) time: 0.8636 data: 0.0003 max mem: 29859 [01:51:57.044053] Epoch: [342] [740/850] eta: 0:01:35 lr: 0.001576 loss: 0.0138 (0.0143) loss_rec_all: 0.0500 (0.0505) loss_rec_sfr: 0.0557 (0.0707) loss_cl: -0.3667 (-0.3674) time: 0.8638 data: 0.0005 max mem: 29859 [01:52:14.354565] Epoch: [342] [760/850] eta: 0:01:18 lr: 0.001576 loss: 0.0132 (0.0143) loss_rec_all: 0.0494 (0.0505) loss_rec_sfr: 0.0759 (0.0707) loss_cl: -0.3674 (-0.3674) time: 0.8655 data: 0.0002 max mem: 29859 [01:52:31.608517] Epoch: [342] [780/850] eta: 0:01:00 lr: 0.001576 loss: 0.0124 (0.0143) loss_rec_all: 0.0488 (0.0505) loss_rec_sfr: 0.0504 (0.0706) loss_cl: -0.3682 (-0.3674) time: 0.8626 data: 0.0002 max mem: 29859 [01:52:48.915827] Epoch: [342] [800/850] eta: 0:00:43 lr: 0.001576 loss: 0.0135 (0.0142) loss_rec_all: 0.0497 (0.0505) loss_rec_sfr: 0.0598 (0.0707) loss_cl: -0.3684 (-0.3674) time: 0.8653 data: 0.0003 max mem: 29859 [01:53:06.179697] Epoch: [342] [820/850] eta: 0:00:26 lr: 0.001576 loss: 0.0137 (0.0142) loss_rec_all: 0.0500 (0.0505) loss_rec_sfr: 0.0674 (0.0706) loss_cl: -0.3677 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [01:53:23.486037] Epoch: [342] [840/850] eta: 0:00:08 lr: 0.001576 loss: 0.0142 (0.0142) loss_rec_all: 0.0506 (0.0505) loss_rec_sfr: 0.0512 (0.0707) loss_cl: -0.3671 (-0.3674) time: 0.8653 data: 0.0005 max mem: 29859 [01:53:31.258033] Epoch: [342] [849/850] eta: 0:00:00 lr: 0.001576 loss: 0.0140 (0.0142) loss_rec_all: 0.0499 (0.0505) loss_rec_sfr: 0.0509 (0.0707) loss_cl: -0.3669 (-0.3674) time: 0.8654 data: 0.0005 max mem: 29859 [01:53:31.379981] Epoch: [342] Total time: 0:12:18 (0.8685 s / it) [01:53:31.382429] Averaged stats: lr: 0.001576 loss: 0.0140 (0.0143) loss_rec_all: 0.0499 (0.0505) loss_rec_sfr: 0.0509 (0.0708) loss_cl: -0.3669 (-0.3673) [01:53:31.394162] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [01:53:35.774152] Epoch: [343] [ 0/850] eta: 1:02:01 lr: 0.001576 loss: 0.0097 (0.0097) loss_rec_all: 0.0461 (0.0461) loss_rec_sfr: 0.0461 (0.0461) loss_cl: -0.3674 (-0.3674) time: 4.3781 data: 3.2206 max mem: 29859 [01:53:53.022114] Epoch: [343] [ 20/850] eta: 0:14:14 lr: 0.001575 loss: 0.0127 (0.0125) loss_rec_all: 0.0489 (0.0487) loss_rec_sfr: 0.0532 (0.0646) loss_cl: -0.3667 (-0.3667) time: 0.8623 data: 0.0002 max mem: 29859 [01:54:10.314583] Epoch: [343] [ 40/850] eta: 0:12:48 lr: 0.001575 loss: 0.0124 (0.0129) loss_rec_all: 0.0487 (0.0491) loss_rec_sfr: 0.0514 (0.0653) loss_cl: -0.3665 (-0.3667) time: 0.8646 data: 0.0003 max mem: 29859 [01:54:27.539163] Epoch: [343] [ 60/850] eta: 0:12:07 lr: 0.001575 loss: 0.0143 (0.0133) loss_rec_all: 0.0501 (0.0495) loss_rec_sfr: 0.0777 (0.0702) loss_cl: -0.3671 (-0.3668) time: 0.8612 data: 0.0002 max mem: 29859 [01:54:44.797325] Epoch: [343] [ 80/850] eta: 0:11:37 lr: 0.001575 loss: 0.0133 (0.0135) loss_rec_all: 0.0496 (0.0497) loss_rec_sfr: 0.0530 (0.0701) loss_cl: -0.3677 (-0.3670) time: 0.8629 data: 0.0002 max mem: 29859 [01:55:02.029816] Epoch: [343] [100/850] eta: 0:11:12 lr: 0.001575 loss: 0.0158 (0.0141) loss_rec_all: 0.0522 (0.0503) loss_rec_sfr: 0.0784 (0.0715) loss_cl: -0.3676 (-0.3671) time: 0.8616 data: 0.0002 max mem: 29859 [01:55:19.403049] Epoch: [343] [120/850] eta: 0:10:51 lr: 0.001575 loss: 0.0148 (0.0143) loss_rec_all: 0.0511 (0.0505) loss_rec_sfr: 0.0738 (0.0715) loss_cl: -0.3675 (-0.3671) time: 0.8686 data: 0.0015 max mem: 29859 [01:55:36.720833] Epoch: [343] [140/850] eta: 0:10:31 lr: 0.001575 loss: 0.0138 (0.0143) loss_rec_all: 0.0501 (0.0506) loss_rec_sfr: 0.0557 (0.0713) loss_cl: -0.3680 (-0.3672) time: 0.8658 data: 0.0003 max mem: 29859 [01:55:54.008033] Epoch: [343] [160/850] eta: 0:10:11 lr: 0.001575 loss: 0.0128 (0.0142) loss_rec_all: 0.0492 (0.0505) loss_rec_sfr: 0.0543 (0.0711) loss_cl: -0.3679 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [01:56:11.266768] Epoch: [343] [180/850] eta: 0:09:51 lr: 0.001575 loss: 0.0129 (0.0142) loss_rec_all: 0.0493 (0.0505) loss_rec_sfr: 0.0524 (0.0703) loss_cl: -0.3674 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [01:56:28.569131] Epoch: [343] [200/850] eta: 0:09:32 lr: 0.001574 loss: 0.0128 (0.0142) loss_rec_all: 0.0492 (0.0504) loss_rec_sfr: 0.0541 (0.0702) loss_cl: -0.3680 (-0.3674) time: 0.8651 data: 0.0002 max mem: 29859 [01:56:45.824740] Epoch: [343] [220/850] eta: 0:09:14 lr: 0.001574 loss: 0.0152 (0.0142) loss_rec_all: 0.0514 (0.0505) loss_rec_sfr: 0.0833 (0.0716) loss_cl: -0.3677 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [01:57:03.128961] Epoch: [343] [240/850] eta: 0:08:55 lr: 0.001574 loss: 0.0142 (0.0143) loss_rec_all: 0.0503 (0.0505) loss_rec_sfr: 0.0556 (0.0715) loss_cl: -0.3669 (-0.3674) time: 0.8652 data: 0.0002 max mem: 29859 [01:57:20.384473] Epoch: [343] [260/850] eta: 0:08:37 lr: 0.001574 loss: 0.0131 (0.0143) loss_rec_all: 0.0495 (0.0505) loss_rec_sfr: 0.0506 (0.0712) loss_cl: -0.3673 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [01:57:37.687038] Epoch: [343] [280/850] eta: 0:08:19 lr: 0.001574 loss: 0.0143 (0.0143) loss_rec_all: 0.0503 (0.0505) loss_rec_sfr: 0.0724 (0.0714) loss_cl: -0.3674 (-0.3673) time: 0.8651 data: 0.0002 max mem: 29859 [01:57:54.921066] Epoch: [343] [300/850] eta: 0:08:01 lr: 0.001574 loss: 0.0136 (0.0142) loss_rec_all: 0.0498 (0.0505) loss_rec_sfr: 0.0558 (0.0716) loss_cl: -0.3678 (-0.3674) time: 0.8616 data: 0.0002 max mem: 29859 [01:58:12.194322] Epoch: [343] [320/850] eta: 0:07:43 lr: 0.001574 loss: 0.0130 (0.0142) loss_rec_all: 0.0493 (0.0504) loss_rec_sfr: 0.0493 (0.0708) loss_cl: -0.3677 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [01:58:29.509366] Epoch: [343] [340/850] eta: 0:07:25 lr: 0.001574 loss: 0.0133 (0.0141) loss_rec_all: 0.0493 (0.0504) loss_rec_sfr: 0.0717 (0.0711) loss_cl: -0.3666 (-0.3673) time: 0.8657 data: 0.0002 max mem: 29859 [01:58:46.811121] Epoch: [343] [360/850] eta: 0:07:08 lr: 0.001574 loss: 0.0138 (0.0141) loss_rec_all: 0.0500 (0.0504) loss_rec_sfr: 0.0712 (0.0713) loss_cl: -0.3664 (-0.3673) time: 0.8650 data: 0.0003 max mem: 29859 [01:59:04.043731] Epoch: [343] [380/850] eta: 0:06:50 lr: 0.001573 loss: 0.0132 (0.0141) loss_rec_all: 0.0495 (0.0503) loss_rec_sfr: 0.0692 (0.0714) loss_cl: -0.3666 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [01:59:21.350983] Epoch: [343] [400/850] eta: 0:06:32 lr: 0.001573 loss: 0.0134 (0.0141) loss_rec_all: 0.0495 (0.0503) loss_rec_sfr: 0.0563 (0.0711) loss_cl: -0.3672 (-0.3672) time: 0.8653 data: 0.0003 max mem: 29859 [01:59:38.584575] Epoch: [343] [420/850] eta: 0:06:15 lr: 0.001573 loss: 0.0131 (0.0141) loss_rec_all: 0.0495 (0.0503) loss_rec_sfr: 0.0557 (0.0709) loss_cl: -0.3676 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [01:59:55.852625] Epoch: [343] [440/850] eta: 0:05:57 lr: 0.001573 loss: 0.0146 (0.0141) loss_rec_all: 0.0509 (0.0504) loss_rec_sfr: 0.0561 (0.0710) loss_cl: -0.3680 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [02:00:13.115976] Epoch: [343] [460/850] eta: 0:05:39 lr: 0.001573 loss: 0.0143 (0.0142) loss_rec_all: 0.0504 (0.0504) loss_rec_sfr: 0.0827 (0.0713) loss_cl: -0.3678 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [02:00:30.381944] Epoch: [343] [480/850] eta: 0:05:22 lr: 0.001573 loss: 0.0134 (0.0142) loss_rec_all: 0.0495 (0.0504) loss_rec_sfr: 0.0822 (0.0716) loss_cl: -0.3676 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [02:00:47.640396] Epoch: [343] [500/850] eta: 0:05:04 lr: 0.001573 loss: 0.0150 (0.0142) loss_rec_all: 0.0511 (0.0504) loss_rec_sfr: 0.0707 (0.0717) loss_cl: -0.3671 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [02:01:04.916460] Epoch: [343] [520/850] eta: 0:04:47 lr: 0.001573 loss: 0.0141 (0.0142) loss_rec_all: 0.0503 (0.0504) loss_rec_sfr: 0.0573 (0.0717) loss_cl: -0.3669 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [02:01:22.151347] Epoch: [343] [540/850] eta: 0:04:29 lr: 0.001573 loss: 0.0131 (0.0142) loss_rec_all: 0.0494 (0.0504) loss_rec_sfr: 0.0723 (0.0717) loss_cl: -0.3675 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [02:01:39.463082] Epoch: [343] [560/850] eta: 0:04:12 lr: 0.001572 loss: 0.0140 (0.0142) loss_rec_all: 0.0498 (0.0504) loss_rec_sfr: 0.0753 (0.0719) loss_cl: -0.3671 (-0.3673) time: 0.8655 data: 0.0002 max mem: 29859 [02:01:56.710174] Epoch: [343] [580/850] eta: 0:03:54 lr: 0.001572 loss: 0.0142 (0.0142) loss_rec_all: 0.0503 (0.0504) loss_rec_sfr: 0.0761 (0.0721) loss_cl: -0.3674 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [02:02:14.033930] Epoch: [343] [600/850] eta: 0:03:37 lr: 0.001572 loss: 0.0134 (0.0142) loss_rec_all: 0.0496 (0.0504) loss_rec_sfr: 0.0508 (0.0718) loss_cl: -0.3675 (-0.3673) time: 0.8661 data: 0.0010 max mem: 29859 [02:02:31.278683] Epoch: [343] [620/850] eta: 0:03:19 lr: 0.001572 loss: 0.0140 (0.0142) loss_rec_all: 0.0503 (0.0504) loss_rec_sfr: 0.0774 (0.0720) loss_cl: -0.3676 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [02:02:48.554079] Epoch: [343] [640/850] eta: 0:03:02 lr: 0.001572 loss: 0.0153 (0.0142) loss_rec_all: 0.0513 (0.0504) loss_rec_sfr: 0.0701 (0.0721) loss_cl: -0.3673 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [02:03:05.798844] Epoch: [343] [660/850] eta: 0:02:45 lr: 0.001572 loss: 0.0133 (0.0142) loss_rec_all: 0.0496 (0.0504) loss_rec_sfr: 0.0544 (0.0719) loss_cl: -0.3674 (-0.3673) time: 0.8622 data: 0.0003 max mem: 29859 [02:03:23.088503] Epoch: [343] [680/850] eta: 0:02:27 lr: 0.001572 loss: 0.0144 (0.0142) loss_rec_all: 0.0508 (0.0505) loss_rec_sfr: 0.0708 (0.0720) loss_cl: -0.3676 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [02:03:40.332548] Epoch: [343] [700/850] eta: 0:02:10 lr: 0.001572 loss: 0.0147 (0.0143) loss_rec_all: 0.0510 (0.0505) loss_rec_sfr: 0.0718 (0.0720) loss_cl: -0.3672 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [02:03:57.578043] Epoch: [343] [720/850] eta: 0:01:52 lr: 0.001572 loss: 0.0134 (0.0142) loss_rec_all: 0.0497 (0.0505) loss_rec_sfr: 0.0567 (0.0720) loss_cl: -0.3675 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [02:04:14.816477] Epoch: [343] [740/850] eta: 0:01:35 lr: 0.001571 loss: 0.0139 (0.0142) loss_rec_all: 0.0499 (0.0505) loss_rec_sfr: 0.0785 (0.0721) loss_cl: -0.3674 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [02:04:32.069057] Epoch: [343] [760/850] eta: 0:01:18 lr: 0.001571 loss: 0.0139 (0.0143) loss_rec_all: 0.0499 (0.0505) loss_rec_sfr: 0.0704 (0.0720) loss_cl: -0.3668 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [02:04:49.283055] Epoch: [343] [780/850] eta: 0:01:00 lr: 0.001571 loss: 0.0135 (0.0143) loss_rec_all: 0.0498 (0.0505) loss_rec_sfr: 0.0576 (0.0720) loss_cl: -0.3668 (-0.3673) time: 0.8607 data: 0.0002 max mem: 29859 [02:05:06.564034] Epoch: [343] [800/850] eta: 0:00:43 lr: 0.001571 loss: 0.0149 (0.0143) loss_rec_all: 0.0510 (0.0505) loss_rec_sfr: 0.0566 (0.0719) loss_cl: -0.3666 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [02:05:23.841011] Epoch: [343] [820/850] eta: 0:00:26 lr: 0.001571 loss: 0.0148 (0.0143) loss_rec_all: 0.0508 (0.0505) loss_rec_sfr: 0.0914 (0.0721) loss_cl: -0.3669 (-0.3672) time: 0.8638 data: 0.0003 max mem: 29859 [02:05:41.162292] Epoch: [343] [840/850] eta: 0:00:08 lr: 0.001571 loss: 0.0140 (0.0143) loss_rec_all: 0.0501 (0.0505) loss_rec_sfr: 0.0517 (0.0718) loss_cl: -0.3676 (-0.3673) time: 0.8660 data: 0.0006 max mem: 29859 [02:05:48.907526] Epoch: [343] [849/850] eta: 0:00:00 lr: 0.001571 loss: 0.0140 (0.0143) loss_rec_all: 0.0504 (0.0505) loss_rec_sfr: 0.0557 (0.0718) loss_cl: -0.3679 (-0.3673) time: 0.8639 data: 0.0005 max mem: 29859 [02:05:49.064003] Epoch: [343] Total time: 0:12:17 (0.8678 s / it) [02:05:49.068082] Averaged stats: lr: 0.001571 loss: 0.0140 (0.0143) loss_rec_all: 0.0504 (0.0505) loss_rec_sfr: 0.0557 (0.0711) loss_cl: -0.3679 (-0.3673) [02:05:49.080524] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [02:05:53.590013] Epoch: [344] [ 0/850] eta: 1:03:52 lr: 0.001571 loss: 0.0125 (0.0125) loss_rec_all: 0.0487 (0.0487) loss_rec_sfr: 0.0825 (0.0825) loss_cl: -0.3680 (-0.3680) time: 4.5088 data: 3.6552 max mem: 29859 [02:06:10.787986] Epoch: [344] [ 20/850] eta: 0:14:17 lr: 0.001571 loss: 0.0133 (0.0137) loss_rec_all: 0.0495 (0.0500) loss_rec_sfr: 0.0563 (0.0667) loss_cl: -0.3685 (-0.3684) time: 0.8599 data: 0.0002 max mem: 29859 [02:06:28.061738] Epoch: [344] [ 40/850] eta: 0:12:50 lr: 0.001571 loss: 0.0138 (0.0138) loss_rec_all: 0.0501 (0.0501) loss_rec_sfr: 0.0855 (0.0734) loss_cl: -0.3684 (-0.3683) time: 0.8636 data: 0.0002 max mem: 29859 [02:06:45.289393] Epoch: [344] [ 60/850] eta: 0:12:07 lr: 0.001571 loss: 0.0127 (0.0139) loss_rec_all: 0.0491 (0.0502) loss_rec_sfr: 0.0703 (0.0729) loss_cl: -0.3681 (-0.3682) time: 0.8613 data: 0.0002 max mem: 29859 [02:07:02.587738] Epoch: [344] [ 80/850] eta: 0:11:38 lr: 0.001570 loss: 0.0145 (0.0141) loss_rec_all: 0.0506 (0.0504) loss_rec_sfr: 0.0730 (0.0735) loss_cl: -0.3674 (-0.3680) time: 0.8649 data: 0.0002 max mem: 29859 [02:07:19.831438] Epoch: [344] [100/850] eta: 0:11:13 lr: 0.001570 loss: 0.0139 (0.0141) loss_rec_all: 0.0502 (0.0504) loss_rec_sfr: 0.0579 (0.0738) loss_cl: -0.3668 (-0.3677) time: 0.8621 data: 0.0002 max mem: 29859 [02:07:37.131250] Epoch: [344] [120/850] eta: 0:10:51 lr: 0.001570 loss: 0.0133 (0.0141) loss_rec_all: 0.0495 (0.0503) loss_rec_sfr: 0.0766 (0.0738) loss_cl: -0.3675 (-0.3677) time: 0.8649 data: 0.0002 max mem: 29859 [02:07:54.381243] Epoch: [344] [140/850] eta: 0:10:30 lr: 0.001570 loss: 0.0123 (0.0139) loss_rec_all: 0.0488 (0.0502) loss_rec_sfr: 0.0592 (0.0732) loss_cl: -0.3678 (-0.3677) time: 0.8625 data: 0.0002 max mem: 29859 [02:08:11.674513] Epoch: [344] [160/850] eta: 0:10:11 lr: 0.001570 loss: 0.0134 (0.0139) loss_rec_all: 0.0496 (0.0501) loss_rec_sfr: 0.0699 (0.0730) loss_cl: -0.3681 (-0.3677) time: 0.8646 data: 0.0002 max mem: 29859 [02:08:28.918533] Epoch: [344] [180/850] eta: 0:09:51 lr: 0.001570 loss: 0.0141 (0.0139) loss_rec_all: 0.0501 (0.0502) loss_rec_sfr: 0.0731 (0.0731) loss_cl: -0.3675 (-0.3677) time: 0.8622 data: 0.0002 max mem: 29859 [02:08:46.209827] Epoch: [344] [200/850] eta: 0:09:32 lr: 0.001570 loss: 0.0143 (0.0140) loss_rec_all: 0.0503 (0.0502) loss_rec_sfr: 0.0717 (0.0732) loss_cl: -0.3670 (-0.3676) time: 0.8645 data: 0.0002 max mem: 29859 [02:09:03.516489] Epoch: [344] [220/850] eta: 0:09:14 lr: 0.001570 loss: 0.0128 (0.0139) loss_rec_all: 0.0491 (0.0501) loss_rec_sfr: 0.0482 (0.0720) loss_cl: -0.3670 (-0.3675) time: 0.8652 data: 0.0010 max mem: 29859 [02:09:20.822572] Epoch: [344] [240/850] eta: 0:08:55 lr: 0.001569 loss: 0.0135 (0.0139) loss_rec_all: 0.0497 (0.0502) loss_rec_sfr: 0.0722 (0.0718) loss_cl: -0.3667 (-0.3675) time: 0.8652 data: 0.0002 max mem: 29859 [02:09:38.099388] Epoch: [344] [260/850] eta: 0:08:37 lr: 0.001569 loss: 0.0136 (0.0140) loss_rec_all: 0.0500 (0.0502) loss_rec_sfr: 0.0593 (0.0718) loss_cl: -0.3668 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [02:09:55.396658] Epoch: [344] [280/850] eta: 0:08:19 lr: 0.001569 loss: 0.0138 (0.0139) loss_rec_all: 0.0498 (0.0502) loss_rec_sfr: 0.0553 (0.0718) loss_cl: -0.3674 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [02:10:12.655959] Epoch: [344] [300/850] eta: 0:08:01 lr: 0.001569 loss: 0.0146 (0.0140) loss_rec_all: 0.0508 (0.0502) loss_rec_sfr: 0.0680 (0.0721) loss_cl: -0.3677 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [02:10:29.941341] Epoch: [344] [320/850] eta: 0:07:43 lr: 0.001569 loss: 0.0138 (0.0140) loss_rec_all: 0.0502 (0.0502) loss_rec_sfr: 0.0544 (0.0719) loss_cl: -0.3670 (-0.3674) time: 0.8642 data: 0.0002 max mem: 29859 [02:10:47.202233] Epoch: [344] [340/850] eta: 0:07:25 lr: 0.001569 loss: 0.0139 (0.0140) loss_rec_all: 0.0499 (0.0503) loss_rec_sfr: 0.0745 (0.0724) loss_cl: -0.3670 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [02:11:04.488713] Epoch: [344] [360/850] eta: 0:07:08 lr: 0.001569 loss: 0.0135 (0.0140) loss_rec_all: 0.0497 (0.0503) loss_rec_sfr: 0.0757 (0.0726) loss_cl: -0.3670 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [02:11:21.746276] Epoch: [344] [380/850] eta: 0:06:50 lr: 0.001569 loss: 0.0133 (0.0140) loss_rec_all: 0.0495 (0.0503) loss_rec_sfr: 0.0706 (0.0726) loss_cl: -0.3671 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [02:11:39.031892] Epoch: [344] [400/850] eta: 0:06:32 lr: 0.001569 loss: 0.0123 (0.0140) loss_rec_all: 0.0486 (0.0502) loss_rec_sfr: 0.0499 (0.0723) loss_cl: -0.3675 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [02:11:56.281028] Epoch: [344] [420/850] eta: 0:06:15 lr: 0.001569 loss: 0.0132 (0.0140) loss_rec_all: 0.0496 (0.0502) loss_rec_sfr: 0.0589 (0.0720) loss_cl: -0.3685 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [02:12:13.630533] Epoch: [344] [440/850] eta: 0:05:57 lr: 0.001568 loss: 0.0140 (0.0140) loss_rec_all: 0.0504 (0.0503) loss_rec_sfr: 0.0913 (0.0724) loss_cl: -0.3687 (-0.3674) time: 0.8674 data: 0.0003 max mem: 29859 [02:12:30.880955] Epoch: [344] [460/850] eta: 0:05:39 lr: 0.001568 loss: 0.0138 (0.0140) loss_rec_all: 0.0502 (0.0503) loss_rec_sfr: 0.0546 (0.0723) loss_cl: -0.3680 (-0.3675) time: 0.8625 data: 0.0002 max mem: 29859 [02:12:48.161531] Epoch: [344] [480/850] eta: 0:05:22 lr: 0.001568 loss: 0.0136 (0.0140) loss_rec_all: 0.0499 (0.0503) loss_rec_sfr: 0.0507 (0.0720) loss_cl: -0.3673 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [02:13:05.393450] Epoch: [344] [500/850] eta: 0:05:04 lr: 0.001568 loss: 0.0147 (0.0140) loss_rec_all: 0.0508 (0.0503) loss_rec_sfr: 0.0759 (0.0722) loss_cl: -0.3675 (-0.3675) time: 0.8615 data: 0.0002 max mem: 29859 [02:13:22.659621] Epoch: [344] [520/850] eta: 0:04:47 lr: 0.001568 loss: 0.0150 (0.0141) loss_rec_all: 0.0513 (0.0503) loss_rec_sfr: 0.0780 (0.0723) loss_cl: -0.3674 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [02:13:39.904500] Epoch: [344] [540/850] eta: 0:04:29 lr: 0.001568 loss: 0.0178 (0.0143) loss_rec_all: 0.0541 (0.0505) loss_rec_sfr: 0.0584 (0.0723) loss_cl: -0.3672 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [02:13:57.184188] Epoch: [344] [560/850] eta: 0:04:12 lr: 0.001568 loss: 0.0197 (0.0145) loss_rec_all: 0.0557 (0.0507) loss_rec_sfr: 0.0630 (0.0723) loss_cl: -0.3674 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [02:14:14.426297] Epoch: [344] [580/850] eta: 0:03:54 lr: 0.001568 loss: 0.0195 (0.0147) loss_rec_all: 0.0555 (0.0509) loss_rec_sfr: 0.0922 (0.0728) loss_cl: -0.3675 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [02:14:31.711218] Epoch: [344] [600/850] eta: 0:03:37 lr: 0.001567 loss: 0.0176 (0.0148) loss_rec_all: 0.0536 (0.0510) loss_rec_sfr: 0.0786 (0.0729) loss_cl: -0.3673 (-0.3674) time: 0.8642 data: 0.0002 max mem: 29859 [02:14:48.947437] Epoch: [344] [620/850] eta: 0:03:19 lr: 0.001567 loss: 0.0174 (0.0149) loss_rec_all: 0.0537 (0.0511) loss_rec_sfr: 0.0754 (0.0730) loss_cl: -0.3671 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [02:15:06.302766] Epoch: [344] [640/850] eta: 0:03:02 lr: 0.001567 loss: 0.0161 (0.0150) loss_rec_all: 0.0522 (0.0512) loss_rec_sfr: 0.0829 (0.0733) loss_cl: -0.3674 (-0.3674) time: 0.8677 data: 0.0003 max mem: 29859 [02:15:23.600363] Epoch: [344] [660/850] eta: 0:02:45 lr: 0.001567 loss: 0.0150 (0.0150) loss_rec_all: 0.0510 (0.0512) loss_rec_sfr: 0.0768 (0.0733) loss_cl: -0.3677 (-0.3674) time: 0.8648 data: 0.0003 max mem: 29859 [02:15:40.927925] Epoch: [344] [680/850] eta: 0:02:27 lr: 0.001567 loss: 0.0150 (0.0150) loss_rec_all: 0.0513 (0.0513) loss_rec_sfr: 0.0640 (0.0733) loss_cl: -0.3672 (-0.3674) time: 0.8663 data: 0.0003 max mem: 29859 [02:15:58.184943] Epoch: [344] [700/850] eta: 0:02:10 lr: 0.001567 loss: 0.0142 (0.0150) loss_rec_all: 0.0505 (0.0513) loss_rec_sfr: 0.0773 (0.0733) loss_cl: -0.3677 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [02:16:15.477811] Epoch: [344] [720/850] eta: 0:01:52 lr: 0.001567 loss: 0.0136 (0.0150) loss_rec_all: 0.0499 (0.0512) loss_rec_sfr: 0.0505 (0.0731) loss_cl: -0.3675 (-0.3674) time: 0.8646 data: 0.0002 max mem: 29859 [02:16:32.707055] Epoch: [344] [740/850] eta: 0:01:35 lr: 0.001567 loss: 0.0136 (0.0150) loss_rec_all: 0.0500 (0.0512) loss_rec_sfr: 0.0565 (0.0730) loss_cl: -0.3672 (-0.3674) time: 0.8614 data: 0.0002 max mem: 29859 [02:16:49.972266] Epoch: [344] [760/850] eta: 0:01:18 lr: 0.001567 loss: 0.0127 (0.0149) loss_rec_all: 0.0491 (0.0512) loss_rec_sfr: 0.0723 (0.0729) loss_cl: -0.3670 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [02:17:07.225850] Epoch: [344] [780/850] eta: 0:01:00 lr: 0.001567 loss: 0.0137 (0.0149) loss_rec_all: 0.0498 (0.0512) loss_rec_sfr: 0.0733 (0.0729) loss_cl: -0.3667 (-0.3674) time: 0.8626 data: 0.0002 max mem: 29859 [02:17:24.503390] Epoch: [344] [800/850] eta: 0:00:43 lr: 0.001566 loss: 0.0125 (0.0149) loss_rec_all: 0.0488 (0.0511) loss_rec_sfr: 0.0502 (0.0728) loss_cl: -0.3672 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [02:17:41.759789] Epoch: [344] [820/850] eta: 0:00:26 lr: 0.001566 loss: 0.0127 (0.0149) loss_rec_all: 0.0489 (0.0511) loss_rec_sfr: 0.0708 (0.0726) loss_cl: -0.3677 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [02:17:59.038992] Epoch: [344] [840/850] eta: 0:00:08 lr: 0.001566 loss: 0.0129 (0.0148) loss_rec_all: 0.0492 (0.0510) loss_rec_sfr: 0.0584 (0.0725) loss_cl: -0.3681 (-0.3674) time: 0.8639 data: 0.0005 max mem: 29859 [02:18:06.797175] Epoch: [344] [849/850] eta: 0:00:00 lr: 0.001566 loss: 0.0132 (0.0148) loss_rec_all: 0.0494 (0.0510) loss_rec_sfr: 0.0672 (0.0724) loss_cl: -0.3684 (-0.3674) time: 0.8638 data: 0.0005 max mem: 29859 [02:18:06.930458] Epoch: [344] Total time: 0:12:17 (0.8681 s / it) [02:18:06.933868] Averaged stats: lr: 0.001566 loss: 0.0132 (0.0147) loss_rec_all: 0.0494 (0.0510) loss_rec_sfr: 0.0672 (0.0710) loss_cl: -0.3684 (-0.3673) [02:18:06.944027] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [02:18:11.444489] Epoch: [345] [ 0/850] eta: 1:03:44 lr: 0.001566 loss: 0.0178 (0.0178) loss_rec_all: 0.0537 (0.0537) loss_rec_sfr: 0.1106 (0.1106) loss_cl: -0.3668 (-0.3668) time: 4.4994 data: 3.6401 max mem: 29859 [02:18:28.675542] Epoch: [345] [ 20/850] eta: 0:14:18 lr: 0.001566 loss: 0.0129 (0.0138) loss_rec_all: 0.0494 (0.0500) loss_rec_sfr: 0.0519 (0.0696) loss_cl: -0.3681 (-0.3674) time: 0.8615 data: 0.0003 max mem: 29859 [02:18:45.932707] Epoch: [345] [ 40/850] eta: 0:12:50 lr: 0.001566 loss: 0.0126 (0.0134) loss_rec_all: 0.0488 (0.0496) loss_rec_sfr: 0.0517 (0.0671) loss_cl: -0.3676 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [02:19:03.196486] Epoch: [345] [ 60/850] eta: 0:12:08 lr: 0.001566 loss: 0.0124 (0.0134) loss_rec_all: 0.0488 (0.0497) loss_rec_sfr: 0.0523 (0.0660) loss_cl: -0.3678 (-0.3675) time: 0.8631 data: 0.0003 max mem: 29859 [02:19:20.486430] Epoch: [345] [ 80/850] eta: 0:11:39 lr: 0.001566 loss: 0.0127 (0.0134) loss_rec_all: 0.0490 (0.0496) loss_rec_sfr: 0.0525 (0.0672) loss_cl: -0.3675 (-0.3675) time: 0.8644 data: 0.0002 max mem: 29859 [02:19:37.724579] Epoch: [345] [100/850] eta: 0:11:14 lr: 0.001566 loss: 0.0127 (0.0134) loss_rec_all: 0.0492 (0.0496) loss_rec_sfr: 0.0509 (0.0678) loss_cl: -0.3670 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [02:19:55.004727] Epoch: [345] [120/850] eta: 0:10:51 lr: 0.001565 loss: 0.0132 (0.0134) loss_rec_all: 0.0493 (0.0497) loss_rec_sfr: 0.0705 (0.0686) loss_cl: -0.3673 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [02:20:12.244631] Epoch: [345] [140/850] eta: 0:10:30 lr: 0.001565 loss: 0.0126 (0.0134) loss_rec_all: 0.0491 (0.0496) loss_rec_sfr: 0.0515 (0.0685) loss_cl: -0.3669 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [02:20:29.540401] Epoch: [345] [160/850] eta: 0:10:11 lr: 0.001565 loss: 0.0138 (0.0136) loss_rec_all: 0.0501 (0.0498) loss_rec_sfr: 0.0604 (0.0688) loss_cl: -0.3667 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [02:20:46.780945] Epoch: [345] [180/850] eta: 0:09:51 lr: 0.001565 loss: 0.0141 (0.0137) loss_rec_all: 0.0503 (0.0500) loss_rec_sfr: 0.0731 (0.0693) loss_cl: -0.3670 (-0.3672) time: 0.8620 data: 0.0002 max mem: 29859 [02:21:04.067351] Epoch: [345] [200/850] eta: 0:09:32 lr: 0.001565 loss: 0.0127 (0.0137) loss_rec_all: 0.0489 (0.0500) loss_rec_sfr: 0.0601 (0.0697) loss_cl: -0.3676 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [02:21:21.319124] Epoch: [345] [220/850] eta: 0:09:14 lr: 0.001565 loss: 0.0147 (0.0138) loss_rec_all: 0.0508 (0.0501) loss_rec_sfr: 0.0712 (0.0703) loss_cl: -0.3678 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [02:21:38.624174] Epoch: [345] [240/850] eta: 0:08:55 lr: 0.001565 loss: 0.0140 (0.0139) loss_rec_all: 0.0502 (0.0501) loss_rec_sfr: 0.0760 (0.0710) loss_cl: -0.3676 (-0.3673) time: 0.8652 data: 0.0002 max mem: 29859 [02:21:55.889144] Epoch: [345] [260/850] eta: 0:08:37 lr: 0.001565 loss: 0.0131 (0.0139) loss_rec_all: 0.0492 (0.0501) loss_rec_sfr: 0.0559 (0.0710) loss_cl: -0.3674 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [02:22:13.190665] Epoch: [345] [280/850] eta: 0:08:19 lr: 0.001565 loss: 0.0134 (0.0139) loss_rec_all: 0.0498 (0.0501) loss_rec_sfr: 0.0541 (0.0709) loss_cl: -0.3673 (-0.3673) time: 0.8650 data: 0.0003 max mem: 29859 [02:22:30.494661] Epoch: [345] [300/850] eta: 0:08:01 lr: 0.001564 loss: 0.0137 (0.0139) loss_rec_all: 0.0498 (0.0502) loss_rec_sfr: 0.0557 (0.0709) loss_cl: -0.3674 (-0.3673) time: 0.8651 data: 0.0004 max mem: 29859 [02:22:47.840136] Epoch: [345] [320/850] eta: 0:07:43 lr: 0.001564 loss: 0.0124 (0.0139) loss_rec_all: 0.0488 (0.0501) loss_rec_sfr: 0.0522 (0.0703) loss_cl: -0.3676 (-0.3673) time: 0.8672 data: 0.0002 max mem: 29859 [02:23:05.115135] Epoch: [345] [340/850] eta: 0:07:25 lr: 0.001564 loss: 0.0138 (0.0140) loss_rec_all: 0.0501 (0.0502) loss_rec_sfr: 0.0738 (0.0705) loss_cl: -0.3676 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [02:23:22.436166] Epoch: [345] [360/850] eta: 0:07:08 lr: 0.001564 loss: 0.0137 (0.0140) loss_rec_all: 0.0501 (0.0502) loss_rec_sfr: 0.0721 (0.0708) loss_cl: -0.3678 (-0.3674) time: 0.8660 data: 0.0002 max mem: 29859 [02:23:39.683770] Epoch: [345] [380/850] eta: 0:06:50 lr: 0.001564 loss: 0.0139 (0.0141) loss_rec_all: 0.0500 (0.0503) loss_rec_sfr: 0.0735 (0.0706) loss_cl: -0.3674 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [02:23:56.988265] Epoch: [345] [400/850] eta: 0:06:32 lr: 0.001564 loss: 0.0140 (0.0141) loss_rec_all: 0.0504 (0.0504) loss_rec_sfr: 0.0529 (0.0707) loss_cl: -0.3671 (-0.3674) time: 0.8652 data: 0.0002 max mem: 29859 [02:24:14.236953] Epoch: [345] [420/850] eta: 0:06:15 lr: 0.001564 loss: 0.0150 (0.0142) loss_rec_all: 0.0512 (0.0505) loss_rec_sfr: 0.0747 (0.0707) loss_cl: -0.3674 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [02:24:31.527327] Epoch: [345] [440/850] eta: 0:05:57 lr: 0.001564 loss: 0.0150 (0.0143) loss_rec_all: 0.0511 (0.0505) loss_rec_sfr: 0.0718 (0.0708) loss_cl: -0.3674 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [02:24:48.772079] Epoch: [345] [460/850] eta: 0:05:39 lr: 0.001564 loss: 0.0131 (0.0143) loss_rec_all: 0.0494 (0.0505) loss_rec_sfr: 0.0519 (0.0704) loss_cl: -0.3676 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [02:25:06.065239] Epoch: [345] [480/850] eta: 0:05:22 lr: 0.001563 loss: 0.0148 (0.0143) loss_rec_all: 0.0513 (0.0506) loss_rec_sfr: 0.0723 (0.0707) loss_cl: -0.3679 (-0.3674) time: 0.8646 data: 0.0002 max mem: 29859 [02:25:23.324508] Epoch: [345] [500/850] eta: 0:05:04 lr: 0.001563 loss: 0.0134 (0.0143) loss_rec_all: 0.0498 (0.0505) loss_rec_sfr: 0.0541 (0.0706) loss_cl: -0.3676 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [02:25:40.603571] Epoch: [345] [520/850] eta: 0:04:47 lr: 0.001563 loss: 0.0130 (0.0143) loss_rec_all: 0.0495 (0.0505) loss_rec_sfr: 0.0542 (0.0705) loss_cl: -0.3674 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [02:25:57.896626] Epoch: [345] [540/850] eta: 0:04:29 lr: 0.001563 loss: 0.0138 (0.0142) loss_rec_all: 0.0498 (0.0505) loss_rec_sfr: 0.0722 (0.0707) loss_cl: -0.3670 (-0.3674) time: 0.8646 data: 0.0002 max mem: 29859 [02:26:15.211836] Epoch: [345] [560/850] eta: 0:04:12 lr: 0.001563 loss: 0.0131 (0.0142) loss_rec_all: 0.0495 (0.0505) loss_rec_sfr: 0.0499 (0.0707) loss_cl: -0.3669 (-0.3674) time: 0.8657 data: 0.0002 max mem: 29859 [02:26:32.485801] Epoch: [345] [580/850] eta: 0:03:54 lr: 0.001563 loss: 0.0127 (0.0142) loss_rec_all: 0.0488 (0.0505) loss_rec_sfr: 0.0534 (0.0705) loss_cl: -0.3668 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [02:26:49.778084] Epoch: [345] [600/850] eta: 0:03:37 lr: 0.001563 loss: 0.0133 (0.0142) loss_rec_all: 0.0496 (0.0504) loss_rec_sfr: 0.0538 (0.0704) loss_cl: -0.3668 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [02:27:07.027088] Epoch: [345] [620/850] eta: 0:03:20 lr: 0.001563 loss: 0.0134 (0.0142) loss_rec_all: 0.0496 (0.0504) loss_rec_sfr: 0.0520 (0.0701) loss_cl: -0.3672 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [02:27:24.314870] Epoch: [345] [640/850] eta: 0:03:02 lr: 0.001563 loss: 0.0134 (0.0142) loss_rec_all: 0.0497 (0.0504) loss_rec_sfr: 0.0532 (0.0702) loss_cl: -0.3675 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [02:27:41.569162] Epoch: [345] [660/850] eta: 0:02:45 lr: 0.001562 loss: 0.0151 (0.0142) loss_rec_all: 0.0512 (0.0505) loss_rec_sfr: 0.0689 (0.0704) loss_cl: -0.3673 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [02:27:58.861768] Epoch: [345] [680/850] eta: 0:02:27 lr: 0.001562 loss: 0.0142 (0.0142) loss_rec_all: 0.0507 (0.0505) loss_rec_sfr: 0.0527 (0.0702) loss_cl: -0.3675 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [02:28:16.101977] Epoch: [345] [700/850] eta: 0:02:10 lr: 0.001562 loss: 0.0126 (0.0142) loss_rec_all: 0.0488 (0.0505) loss_rec_sfr: 0.0545 (0.0702) loss_cl: -0.3674 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [02:28:33.376702] Epoch: [345] [720/850] eta: 0:01:52 lr: 0.001562 loss: 0.0133 (0.0142) loss_rec_all: 0.0498 (0.0505) loss_rec_sfr: 0.0513 (0.0699) loss_cl: -0.3674 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [02:28:50.604621] Epoch: [345] [740/850] eta: 0:01:35 lr: 0.001562 loss: 0.0138 (0.0142) loss_rec_all: 0.0501 (0.0505) loss_rec_sfr: 0.0786 (0.0701) loss_cl: -0.3672 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [02:29:07.897593] Epoch: [345] [760/850] eta: 0:01:18 lr: 0.001562 loss: 0.0143 (0.0142) loss_rec_all: 0.0504 (0.0505) loss_rec_sfr: 0.0625 (0.0703) loss_cl: -0.3672 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [02:29:25.165460] Epoch: [345] [780/850] eta: 0:01:00 lr: 0.001562 loss: 0.0143 (0.0142) loss_rec_all: 0.0505 (0.0505) loss_rec_sfr: 0.0517 (0.0703) loss_cl: -0.3673 (-0.3673) time: 0.8633 data: 0.0003 max mem: 29859 [02:29:42.481571] Epoch: [345] [800/850] eta: 0:00:43 lr: 0.001562 loss: 0.0152 (0.0143) loss_rec_all: 0.0511 (0.0505) loss_rec_sfr: 0.0692 (0.0704) loss_cl: -0.3670 (-0.3673) time: 0.8657 data: 0.0002 max mem: 29859 [02:29:59.736804] Epoch: [345] [820/850] eta: 0:00:26 lr: 0.001562 loss: 0.0147 (0.0143) loss_rec_all: 0.0510 (0.0505) loss_rec_sfr: 0.0590 (0.0704) loss_cl: -0.3665 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [02:30:17.037940] Epoch: [345] [840/850] eta: 0:00:08 lr: 0.001561 loss: 0.0130 (0.0143) loss_rec_all: 0.0492 (0.0505) loss_rec_sfr: 0.0545 (0.0704) loss_cl: -0.3669 (-0.3673) time: 0.8650 data: 0.0006 max mem: 29859 [02:30:24.800299] Epoch: [345] [849/850] eta: 0:00:00 lr: 0.001561 loss: 0.0136 (0.0143) loss_rec_all: 0.0496 (0.0505) loss_rec_sfr: 0.0551 (0.0703) loss_cl: -0.3671 (-0.3673) time: 0.8647 data: 0.0005 max mem: 29859 [02:30:24.932641] Epoch: [345] Total time: 0:12:17 (0.8682 s / it) [02:30:24.936350] Averaged stats: lr: 0.001561 loss: 0.0136 (0.0143) loss_rec_all: 0.0496 (0.0505) loss_rec_sfr: 0.0551 (0.0700) loss_cl: -0.3671 (-0.3673) [02:30:24.949623] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [02:30:29.259674] Epoch: [346] [ 0/850] eta: 1:01:02 lr: 0.001561 loss: 0.0129 (0.0129) loss_rec_all: 0.0494 (0.0494) loss_rec_sfr: 0.0492 (0.0492) loss_cl: -0.3688 (-0.3688) time: 4.3092 data: 3.4519 max mem: 29859 [02:30:46.483628] Epoch: [346] [ 20/850] eta: 0:14:11 lr: 0.001561 loss: 0.0136 (0.0135) loss_rec_all: 0.0500 (0.0498) loss_rec_sfr: 0.0704 (0.0737) loss_cl: -0.3679 (-0.3679) time: 0.8611 data: 0.0002 max mem: 29859 [02:31:03.740963] Epoch: [346] [ 40/850] eta: 0:12:46 lr: 0.001561 loss: 0.0133 (0.0135) loss_rec_all: 0.0497 (0.0498) loss_rec_sfr: 0.0547 (0.0706) loss_cl: -0.3681 (-0.3680) time: 0.8628 data: 0.0002 max mem: 29859 [02:31:20.995621] Epoch: [346] [ 60/850] eta: 0:12:05 lr: 0.001561 loss: 0.0131 (0.0135) loss_rec_all: 0.0494 (0.0498) loss_rec_sfr: 0.0710 (0.0707) loss_cl: -0.3682 (-0.3681) time: 0.8627 data: 0.0002 max mem: 29859 [02:31:38.268392] Epoch: [346] [ 80/850] eta: 0:11:36 lr: 0.001561 loss: 0.0122 (0.0132) loss_rec_all: 0.0486 (0.0495) loss_rec_sfr: 0.0502 (0.0694) loss_cl: -0.3677 (-0.3680) time: 0.8636 data: 0.0002 max mem: 29859 [02:31:55.539032] Epoch: [346] [100/850] eta: 0:11:12 lr: 0.001561 loss: 0.0122 (0.0132) loss_rec_all: 0.0486 (0.0495) loss_rec_sfr: 0.0528 (0.0691) loss_cl: -0.3672 (-0.3678) time: 0.8635 data: 0.0002 max mem: 29859 [02:32:12.811394] Epoch: [346] [120/850] eta: 0:10:50 lr: 0.001561 loss: 0.0131 (0.0132) loss_rec_all: 0.0493 (0.0495) loss_rec_sfr: 0.0563 (0.0689) loss_cl: -0.3674 (-0.3677) time: 0.8636 data: 0.0002 max mem: 29859 [02:32:30.050508] Epoch: [346] [140/850] eta: 0:10:29 lr: 0.001561 loss: 0.0147 (0.0136) loss_rec_all: 0.0509 (0.0499) loss_rec_sfr: 0.0727 (0.0695) loss_cl: -0.3676 (-0.3677) time: 0.8619 data: 0.0002 max mem: 29859 [02:32:47.412319] Epoch: [346] [160/850] eta: 0:10:10 lr: 0.001560 loss: 0.0132 (0.0136) loss_rec_all: 0.0496 (0.0499) loss_rec_sfr: 0.0514 (0.0689) loss_cl: -0.3677 (-0.3677) time: 0.8680 data: 0.0009 max mem: 29859 [02:33:04.672254] Epoch: [346] [180/850] eta: 0:09:51 lr: 0.001560 loss: 0.0145 (0.0138) loss_rec_all: 0.0506 (0.0500) loss_rec_sfr: 0.0709 (0.0689) loss_cl: -0.3671 (-0.3676) time: 0.8629 data: 0.0002 max mem: 29859 [02:33:21.995762] Epoch: [346] [200/850] eta: 0:09:32 lr: 0.001560 loss: 0.0126 (0.0137) loss_rec_all: 0.0489 (0.0500) loss_rec_sfr: 0.0663 (0.0687) loss_cl: -0.3674 (-0.3676) time: 0.8661 data: 0.0002 max mem: 29859 [02:33:39.252348] Epoch: [346] [220/850] eta: 0:09:13 lr: 0.001560 loss: 0.0125 (0.0136) loss_rec_all: 0.0489 (0.0499) loss_rec_sfr: 0.0499 (0.0679) loss_cl: -0.3677 (-0.3676) time: 0.8628 data: 0.0002 max mem: 29859 [02:33:56.535190] Epoch: [346] [240/850] eta: 0:08:55 lr: 0.001560 loss: 0.0130 (0.0136) loss_rec_all: 0.0492 (0.0499) loss_rec_sfr: 0.0517 (0.0681) loss_cl: -0.3679 (-0.3676) time: 0.8641 data: 0.0002 max mem: 29859 [02:34:13.802775] Epoch: [346] [260/850] eta: 0:08:37 lr: 0.001560 loss: 0.0142 (0.0137) loss_rec_all: 0.0506 (0.0500) loss_rec_sfr: 0.0574 (0.0684) loss_cl: -0.3677 (-0.3676) time: 0.8633 data: 0.0002 max mem: 29859 [02:34:31.084989] Epoch: [346] [280/850] eta: 0:08:19 lr: 0.001560 loss: 0.0142 (0.0138) loss_rec_all: 0.0505 (0.0500) loss_rec_sfr: 0.0575 (0.0683) loss_cl: -0.3673 (-0.3676) time: 0.8641 data: 0.0002 max mem: 29859 [02:34:48.363221] Epoch: [346] [300/850] eta: 0:08:01 lr: 0.001560 loss: 0.0137 (0.0138) loss_rec_all: 0.0499 (0.0500) loss_rec_sfr: 0.0542 (0.0683) loss_cl: -0.3672 (-0.3675) time: 0.8639 data: 0.0003 max mem: 29859 [02:35:05.631824] Epoch: [346] [320/850] eta: 0:07:43 lr: 0.001560 loss: 0.0126 (0.0137) loss_rec_all: 0.0490 (0.0500) loss_rec_sfr: 0.0550 (0.0684) loss_cl: -0.3674 (-0.3675) time: 0.8634 data: 0.0002 max mem: 29859 [02:35:22.880879] Epoch: [346] [340/850] eta: 0:07:25 lr: 0.001560 loss: 0.0126 (0.0137) loss_rec_all: 0.0489 (0.0500) loss_rec_sfr: 0.0524 (0.0682) loss_cl: -0.3669 (-0.3675) time: 0.8624 data: 0.0002 max mem: 29859 [02:35:40.166041] Epoch: [346] [360/850] eta: 0:07:07 lr: 0.001559 loss: 0.0144 (0.0138) loss_rec_all: 0.0504 (0.0500) loss_rec_sfr: 0.0695 (0.0682) loss_cl: -0.3672 (-0.3675) time: 0.8642 data: 0.0002 max mem: 29859 [02:35:57.427312] Epoch: [346] [380/850] eta: 0:06:50 lr: 0.001559 loss: 0.0129 (0.0138) loss_rec_all: 0.0493 (0.0500) loss_rec_sfr: 0.0579 (0.0683) loss_cl: -0.3678 (-0.3675) time: 0.8630 data: 0.0002 max mem: 29859 [02:36:14.823383] Epoch: [346] [400/850] eta: 0:06:32 lr: 0.001559 loss: 0.0126 (0.0137) loss_rec_all: 0.0490 (0.0500) loss_rec_sfr: 0.0494 (0.0680) loss_cl: -0.3681 (-0.3675) time: 0.8697 data: 0.0003 max mem: 29859 [02:36:32.071227] Epoch: [346] [420/850] eta: 0:06:14 lr: 0.001559 loss: 0.0136 (0.0137) loss_rec_all: 0.0497 (0.0500) loss_rec_sfr: 0.0735 (0.0684) loss_cl: -0.3679 (-0.3675) time: 0.8623 data: 0.0002 max mem: 29859 [02:36:49.370614] Epoch: [346] [440/850] eta: 0:05:57 lr: 0.001559 loss: 0.0130 (0.0137) loss_rec_all: 0.0490 (0.0500) loss_rec_sfr: 0.0673 (0.0684) loss_cl: -0.3678 (-0.3675) time: 0.8649 data: 0.0002 max mem: 29859 [02:37:06.652697] Epoch: [346] [460/850] eta: 0:05:39 lr: 0.001559 loss: 0.0129 (0.0138) loss_rec_all: 0.0491 (0.0500) loss_rec_sfr: 0.0525 (0.0682) loss_cl: -0.3671 (-0.3675) time: 0.8640 data: 0.0002 max mem: 29859 [02:37:23.966639] Epoch: [346] [480/850] eta: 0:05:22 lr: 0.001559 loss: 0.0150 (0.0139) loss_rec_all: 0.0514 (0.0502) loss_rec_sfr: 0.0709 (0.0684) loss_cl: -0.3665 (-0.3675) time: 0.8656 data: 0.0002 max mem: 29859 [02:37:41.224544] Epoch: [346] [500/850] eta: 0:05:04 lr: 0.001559 loss: 0.0140 (0.0139) loss_rec_all: 0.0501 (0.0502) loss_rec_sfr: 0.0537 (0.0680) loss_cl: -0.3664 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [02:37:58.505800] Epoch: [346] [520/850] eta: 0:04:47 lr: 0.001558 loss: 0.0149 (0.0140) loss_rec_all: 0.0512 (0.0502) loss_rec_sfr: 0.0742 (0.0681) loss_cl: -0.3667 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [02:38:15.741156] Epoch: [346] [540/850] eta: 0:04:29 lr: 0.001558 loss: 0.0145 (0.0140) loss_rec_all: 0.0509 (0.0502) loss_rec_sfr: 0.0732 (0.0683) loss_cl: -0.3675 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [02:38:33.060066] Epoch: [346] [560/850] eta: 0:04:12 lr: 0.001558 loss: 0.0137 (0.0140) loss_rec_all: 0.0501 (0.0502) loss_rec_sfr: 0.0534 (0.0683) loss_cl: -0.3679 (-0.3674) time: 0.8659 data: 0.0002 max mem: 29859 [02:38:50.297547] Epoch: [346] [580/850] eta: 0:03:54 lr: 0.001558 loss: 0.0141 (0.0140) loss_rec_all: 0.0504 (0.0503) loss_rec_sfr: 0.0719 (0.0684) loss_cl: -0.3676 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [02:39:07.638746] Epoch: [346] [600/850] eta: 0:03:37 lr: 0.001558 loss: 0.0134 (0.0140) loss_rec_all: 0.0497 (0.0503) loss_rec_sfr: 0.0723 (0.0685) loss_cl: -0.3672 (-0.3674) time: 0.8670 data: 0.0007 max mem: 29859 [02:39:24.943505] Epoch: [346] [620/850] eta: 0:03:19 lr: 0.001558 loss: 0.0140 (0.0140) loss_rec_all: 0.0503 (0.0503) loss_rec_sfr: 0.0723 (0.0686) loss_cl: -0.3667 (-0.3674) time: 0.8652 data: 0.0003 max mem: 29859 [02:39:42.261544] Epoch: [346] [640/850] eta: 0:03:02 lr: 0.001558 loss: 0.0123 (0.0140) loss_rec_all: 0.0486 (0.0503) loss_rec_sfr: 0.0547 (0.0685) loss_cl: -0.3672 (-0.3674) time: 0.8658 data: 0.0002 max mem: 29859 [02:39:59.525865] Epoch: [346] [660/850] eta: 0:02:45 lr: 0.001558 loss: 0.0125 (0.0140) loss_rec_all: 0.0488 (0.0502) loss_rec_sfr: 0.0530 (0.0684) loss_cl: -0.3674 (-0.3674) time: 0.8632 data: 0.0003 max mem: 29859 [02:40:16.837037] Epoch: [346] [680/850] eta: 0:02:27 lr: 0.001558 loss: 0.0121 (0.0139) loss_rec_all: 0.0484 (0.0502) loss_rec_sfr: 0.0549 (0.0684) loss_cl: -0.3673 (-0.3674) time: 0.8655 data: 0.0002 max mem: 29859 [02:40:34.078765] Epoch: [346] [700/850] eta: 0:02:10 lr: 0.001557 loss: 0.0138 (0.0139) loss_rec_all: 0.0499 (0.0502) loss_rec_sfr: 0.0695 (0.0684) loss_cl: -0.3683 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [02:40:51.388602] Epoch: [346] [720/850] eta: 0:01:52 lr: 0.001557 loss: 0.0124 (0.0139) loss_rec_all: 0.0488 (0.0502) loss_rec_sfr: 0.0484 (0.0681) loss_cl: -0.3679 (-0.3674) time: 0.8654 data: 0.0002 max mem: 29859 [02:41:08.632203] Epoch: [346] [740/850] eta: 0:01:35 lr: 0.001557 loss: 0.0145 (0.0139) loss_rec_all: 0.0508 (0.0502) loss_rec_sfr: 0.0701 (0.0682) loss_cl: -0.3673 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [02:41:25.919699] Epoch: [346] [760/850] eta: 0:01:18 lr: 0.001557 loss: 0.0144 (0.0140) loss_rec_all: 0.0503 (0.0502) loss_rec_sfr: 0.0708 (0.0684) loss_cl: -0.3669 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [02:41:43.155889] Epoch: [346] [780/850] eta: 0:01:00 lr: 0.001557 loss: 0.0146 (0.0140) loss_rec_all: 0.0507 (0.0502) loss_rec_sfr: 0.0764 (0.0687) loss_cl: -0.3669 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [02:42:00.436341] Epoch: [346] [800/850] eta: 0:00:43 lr: 0.001557 loss: 0.0138 (0.0140) loss_rec_all: 0.0503 (0.0503) loss_rec_sfr: 0.0538 (0.0687) loss_cl: -0.3677 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [02:42:17.731814] Epoch: [346] [820/850] eta: 0:00:26 lr: 0.001557 loss: 0.0147 (0.0140) loss_rec_all: 0.0509 (0.0503) loss_rec_sfr: 0.0533 (0.0686) loss_cl: -0.3684 (-0.3674) time: 0.8647 data: 0.0003 max mem: 29859 [02:42:35.034361] Epoch: [346] [840/850] eta: 0:00:08 lr: 0.001557 loss: 0.0155 (0.0141) loss_rec_all: 0.0515 (0.0503) loss_rec_sfr: 0.0757 (0.0690) loss_cl: -0.3680 (-0.3674) time: 0.8651 data: 0.0005 max mem: 29859 [02:42:42.796316] Epoch: [346] [849/850] eta: 0:00:00 lr: 0.001557 loss: 0.0159 (0.0141) loss_rec_all: 0.0521 (0.0504) loss_rec_sfr: 0.0765 (0.0690) loss_cl: -0.3677 (-0.3674) time: 0.8640 data: 0.0004 max mem: 29859 [02:42:42.938343] Epoch: [346] Total time: 0:12:17 (0.8682 s / it) [02:42:42.940824] Averaged stats: lr: 0.001557 loss: 0.0159 (0.0141) loss_rec_all: 0.0521 (0.0503) loss_rec_sfr: 0.0765 (0.0697) loss_cl: -0.3677 (-0.3673) [02:42:42.952405] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [02:42:46.973560] Epoch: [347] [ 0/850] eta: 0:56:57 lr: 0.001557 loss: 0.0202 (0.0202) loss_rec_all: 0.0565 (0.0565) loss_rec_sfr: 0.0736 (0.0736) loss_cl: -0.3688 (-0.3688) time: 4.0204 data: 3.1665 max mem: 29859 [02:43:04.189698] Epoch: [347] [ 20/850] eta: 0:13:59 lr: 0.001557 loss: 0.0157 (0.0162) loss_rec_all: 0.0517 (0.0524) loss_rec_sfr: 0.0762 (0.0807) loss_cl: -0.3674 (-0.3675) time: 0.8608 data: 0.0002 max mem: 29859 [02:43:21.463948] Epoch: [347] [ 40/850] eta: 0:12:40 lr: 0.001556 loss: 0.0128 (0.0150) loss_rec_all: 0.0491 (0.0512) loss_rec_sfr: 0.0530 (0.0729) loss_cl: -0.3670 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [02:43:38.715246] Epoch: [347] [ 60/850] eta: 0:12:02 lr: 0.001556 loss: 0.0126 (0.0145) loss_rec_all: 0.0488 (0.0507) loss_rec_sfr: 0.0517 (0.0702) loss_cl: -0.3672 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [02:43:55.992965] Epoch: [347] [ 80/850] eta: 0:11:34 lr: 0.001556 loss: 0.0138 (0.0143) loss_rec_all: 0.0501 (0.0506) loss_rec_sfr: 0.0552 (0.0697) loss_cl: -0.3674 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [02:44:13.256229] Epoch: [347] [100/850] eta: 0:11:10 lr: 0.001556 loss: 0.0122 (0.0140) loss_rec_all: 0.0486 (0.0503) loss_rec_sfr: 0.0539 (0.0684) loss_cl: -0.3672 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [02:44:30.538178] Epoch: [347] [120/850] eta: 0:10:49 lr: 0.001556 loss: 0.0126 (0.0139) loss_rec_all: 0.0487 (0.0502) loss_rec_sfr: 0.0528 (0.0685) loss_cl: -0.3674 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [02:44:47.808969] Epoch: [347] [140/850] eta: 0:10:28 lr: 0.001556 loss: 0.0132 (0.0140) loss_rec_all: 0.0492 (0.0502) loss_rec_sfr: 0.0737 (0.0696) loss_cl: -0.3675 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [02:45:05.100828] Epoch: [347] [160/850] eta: 0:10:09 lr: 0.001556 loss: 0.0132 (0.0139) loss_rec_all: 0.0493 (0.0501) loss_rec_sfr: 0.0566 (0.0699) loss_cl: -0.3672 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [02:45:22.358293] Epoch: [347] [180/850] eta: 0:09:50 lr: 0.001556 loss: 0.0128 (0.0139) loss_rec_all: 0.0492 (0.0501) loss_rec_sfr: 0.0721 (0.0701) loss_cl: -0.3672 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [02:45:39.666532] Epoch: [347] [200/850] eta: 0:09:31 lr: 0.001556 loss: 0.0131 (0.0139) loss_rec_all: 0.0494 (0.0501) loss_rec_sfr: 0.0571 (0.0703) loss_cl: -0.3673 (-0.3673) time: 0.8654 data: 0.0002 max mem: 29859 [02:45:56.914302] Epoch: [347] [220/850] eta: 0:09:12 lr: 0.001555 loss: 0.0135 (0.0139) loss_rec_all: 0.0498 (0.0501) loss_rec_sfr: 0.0737 (0.0707) loss_cl: -0.3670 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [02:46:14.269748] Epoch: [347] [240/850] eta: 0:08:54 lr: 0.001555 loss: 0.0130 (0.0138) loss_rec_all: 0.0491 (0.0501) loss_rec_sfr: 0.0710 (0.0706) loss_cl: -0.3669 (-0.3672) time: 0.8677 data: 0.0003 max mem: 29859 [02:46:31.574997] Epoch: [347] [260/850] eta: 0:08:36 lr: 0.001555 loss: 0.0132 (0.0138) loss_rec_all: 0.0492 (0.0500) loss_rec_sfr: 0.0515 (0.0702) loss_cl: -0.3672 (-0.3672) time: 0.8652 data: 0.0003 max mem: 29859 [02:46:48.850819] Epoch: [347] [280/850] eta: 0:08:18 lr: 0.001555 loss: 0.0126 (0.0138) loss_rec_all: 0.0488 (0.0500) loss_rec_sfr: 0.0719 (0.0703) loss_cl: -0.3679 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [02:47:06.099584] Epoch: [347] [300/850] eta: 0:08:00 lr: 0.001555 loss: 0.0128 (0.0137) loss_rec_all: 0.0491 (0.0500) loss_rec_sfr: 0.0513 (0.0696) loss_cl: -0.3677 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [02:47:23.405628] Epoch: [347] [320/850] eta: 0:07:43 lr: 0.001555 loss: 0.0125 (0.0137) loss_rec_all: 0.0489 (0.0500) loss_rec_sfr: 0.0525 (0.0691) loss_cl: -0.3681 (-0.3674) time: 0.8653 data: 0.0002 max mem: 29859 [02:47:40.650616] Epoch: [347] [340/850] eta: 0:07:25 lr: 0.001555 loss: 0.0125 (0.0137) loss_rec_all: 0.0489 (0.0500) loss_rec_sfr: 0.0687 (0.0691) loss_cl: -0.3680 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [02:47:57.944841] Epoch: [347] [360/850] eta: 0:07:07 lr: 0.001555 loss: 0.0130 (0.0137) loss_rec_all: 0.0494 (0.0499) loss_rec_sfr: 0.0512 (0.0687) loss_cl: -0.3676 (-0.3674) time: 0.8647 data: 0.0002 max mem: 29859 [02:48:15.184647] Epoch: [347] [380/850] eta: 0:06:49 lr: 0.001555 loss: 0.0132 (0.0137) loss_rec_all: 0.0495 (0.0499) loss_rec_sfr: 0.0530 (0.0685) loss_cl: -0.3675 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [02:48:32.491039] Epoch: [347] [400/850] eta: 0:06:32 lr: 0.001554 loss: 0.0125 (0.0137) loss_rec_all: 0.0489 (0.0499) loss_rec_sfr: 0.0680 (0.0683) loss_cl: -0.3674 (-0.3674) time: 0.8652 data: 0.0002 max mem: 29859 [02:48:49.711248] Epoch: [347] [420/850] eta: 0:06:14 lr: 0.001554 loss: 0.0137 (0.0137) loss_rec_all: 0.0500 (0.0500) loss_rec_sfr: 0.0553 (0.0681) loss_cl: -0.3670 (-0.3674) time: 0.8610 data: 0.0001 max mem: 29859 [02:49:07.021798] Epoch: [347] [440/850] eta: 0:05:57 lr: 0.001554 loss: 0.0130 (0.0137) loss_rec_all: 0.0493 (0.0499) loss_rec_sfr: 0.0682 (0.0682) loss_cl: -0.3664 (-0.3673) time: 0.8655 data: 0.0003 max mem: 29859 [02:49:24.303570] Epoch: [347] [460/850] eta: 0:05:39 lr: 0.001554 loss: 0.0129 (0.0137) loss_rec_all: 0.0491 (0.0499) loss_rec_sfr: 0.0538 (0.0682) loss_cl: -0.3668 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [02:49:41.585946] Epoch: [347] [480/850] eta: 0:05:22 lr: 0.001554 loss: 0.0141 (0.0137) loss_rec_all: 0.0501 (0.0499) loss_rec_sfr: 0.0860 (0.0688) loss_cl: -0.3670 (-0.3673) time: 0.8641 data: 0.0005 max mem: 29859 [02:49:58.859055] Epoch: [347] [500/850] eta: 0:05:04 lr: 0.001554 loss: 0.0132 (0.0137) loss_rec_all: 0.0494 (0.0500) loss_rec_sfr: 0.0592 (0.0689) loss_cl: -0.3675 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [02:50:16.192926] Epoch: [347] [520/850] eta: 0:04:47 lr: 0.001554 loss: 0.0142 (0.0137) loss_rec_all: 0.0507 (0.0500) loss_rec_sfr: 0.0677 (0.0690) loss_cl: -0.3677 (-0.3673) time: 0.8666 data: 0.0003 max mem: 29859 [02:50:33.437975] Epoch: [347] [540/850] eta: 0:04:29 lr: 0.001554 loss: 0.0135 (0.0138) loss_rec_all: 0.0496 (0.0500) loss_rec_sfr: 0.0731 (0.0691) loss_cl: -0.3677 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [02:50:50.744215] Epoch: [347] [560/850] eta: 0:04:12 lr: 0.001554 loss: 0.0160 (0.0139) loss_rec_all: 0.0520 (0.0501) loss_rec_sfr: 0.0787 (0.0693) loss_cl: -0.3676 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [02:51:08.019960] Epoch: [347] [580/850] eta: 0:03:54 lr: 0.001553 loss: 0.0143 (0.0139) loss_rec_all: 0.0506 (0.0501) loss_rec_sfr: 0.0518 (0.0693) loss_cl: -0.3675 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [02:51:25.296942] Epoch: [347] [600/850] eta: 0:03:37 lr: 0.001553 loss: 0.0130 (0.0139) loss_rec_all: 0.0493 (0.0501) loss_rec_sfr: 0.0540 (0.0689) loss_cl: -0.3671 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [02:51:42.571289] Epoch: [347] [620/850] eta: 0:03:19 lr: 0.001553 loss: 0.0131 (0.0139) loss_rec_all: 0.0495 (0.0501) loss_rec_sfr: 0.0524 (0.0688) loss_cl: -0.3669 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [02:51:59.884919] Epoch: [347] [640/850] eta: 0:03:02 lr: 0.001553 loss: 0.0130 (0.0139) loss_rec_all: 0.0493 (0.0501) loss_rec_sfr: 0.0524 (0.0687) loss_cl: -0.3673 (-0.3673) time: 0.8656 data: 0.0002 max mem: 29859 [02:52:17.139157] Epoch: [347] [660/850] eta: 0:02:45 lr: 0.001553 loss: 0.0131 (0.0139) loss_rec_all: 0.0492 (0.0501) loss_rec_sfr: 0.0515 (0.0685) loss_cl: -0.3674 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [02:52:34.468946] Epoch: [347] [680/850] eta: 0:02:27 lr: 0.001553 loss: 0.0130 (0.0139) loss_rec_all: 0.0493 (0.0501) loss_rec_sfr: 0.0751 (0.0687) loss_cl: -0.3670 (-0.3673) time: 0.8664 data: 0.0002 max mem: 29859 [02:52:51.721273] Epoch: [347] [700/850] eta: 0:02:10 lr: 0.001553 loss: 0.0129 (0.0139) loss_rec_all: 0.0490 (0.0501) loss_rec_sfr: 0.0682 (0.0687) loss_cl: -0.3668 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [02:53:09.052858] Epoch: [347] [720/850] eta: 0:01:52 lr: 0.001553 loss: 0.0123 (0.0138) loss_rec_all: 0.0487 (0.0501) loss_rec_sfr: 0.0562 (0.0686) loss_cl: -0.3668 (-0.3673) time: 0.8665 data: 0.0003 max mem: 29859 [02:53:26.327950] Epoch: [347] [740/850] eta: 0:01:35 lr: 0.001553 loss: 0.0143 (0.0138) loss_rec_all: 0.0506 (0.0501) loss_rec_sfr: 0.0698 (0.0688) loss_cl: -0.3670 (-0.3673) time: 0.8637 data: 0.0003 max mem: 29859 [02:53:43.625067] Epoch: [347] [760/850] eta: 0:01:18 lr: 0.001552 loss: 0.0134 (0.0139) loss_rec_all: 0.0497 (0.0501) loss_rec_sfr: 0.0584 (0.0688) loss_cl: -0.3675 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [02:54:00.908726] Epoch: [347] [780/850] eta: 0:01:00 lr: 0.001552 loss: 0.0133 (0.0139) loss_rec_all: 0.0496 (0.0501) loss_rec_sfr: 0.0595 (0.0689) loss_cl: -0.3682 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [02:54:18.204784] Epoch: [347] [800/850] eta: 0:00:43 lr: 0.001552 loss: 0.0135 (0.0138) loss_rec_all: 0.0499 (0.0501) loss_rec_sfr: 0.0584 (0.0688) loss_cl: -0.3683 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [02:54:35.444039] Epoch: [347] [820/850] eta: 0:00:26 lr: 0.001552 loss: 0.0130 (0.0138) loss_rec_all: 0.0494 (0.0501) loss_rec_sfr: 0.0581 (0.0688) loss_cl: -0.3681 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [02:54:52.751740] Epoch: [347] [840/850] eta: 0:00:08 lr: 0.001552 loss: 0.0139 (0.0139) loss_rec_all: 0.0500 (0.0501) loss_rec_sfr: 0.0762 (0.0689) loss_cl: -0.3678 (-0.3674) time: 0.8653 data: 0.0006 max mem: 29859 [02:55:00.505515] Epoch: [347] [849/850] eta: 0:00:00 lr: 0.001552 loss: 0.0131 (0.0139) loss_rec_all: 0.0495 (0.0501) loss_rec_sfr: 0.0633 (0.0691) loss_cl: -0.3675 (-0.3674) time: 0.8643 data: 0.0005 max mem: 29859 [02:55:00.664434] Epoch: [347] Total time: 0:12:17 (0.8679 s / it) [02:55:00.667127] Averaged stats: lr: 0.001552 loss: 0.0131 (0.0139) loss_rec_all: 0.0495 (0.0502) loss_rec_sfr: 0.0633 (0.0693) loss_cl: -0.3675 (-0.3673) [02:55:00.680301] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [02:55:04.878458] Epoch: [348] [ 0/850] eta: 0:59:27 lr: 0.001552 loss: 0.0130 (0.0130) loss_rec_all: 0.0493 (0.0493) loss_rec_sfr: 0.0560 (0.0560) loss_cl: -0.3673 (-0.3673) time: 4.1974 data: 3.2074 max mem: 29859 [02:55:22.083794] Epoch: [348] [ 20/850] eta: 0:14:05 lr: 0.001552 loss: 0.0133 (0.0136) loss_rec_all: 0.0494 (0.0498) loss_rec_sfr: 0.0530 (0.0682) loss_cl: -0.3670 (-0.3671) time: 0.8602 data: 0.0002 max mem: 29859 [02:55:39.400165] Epoch: [348] [ 40/850] eta: 0:12:44 lr: 0.001552 loss: 0.0135 (0.0142) loss_rec_all: 0.0495 (0.0504) loss_rec_sfr: 0.0552 (0.0673) loss_cl: -0.3668 (-0.3670) time: 0.8658 data: 0.0003 max mem: 29859 [02:55:56.650265] Epoch: [348] [ 60/850] eta: 0:12:04 lr: 0.001552 loss: 0.0151 (0.0147) loss_rec_all: 0.0511 (0.0509) loss_rec_sfr: 0.0548 (0.0680) loss_cl: -0.3667 (-0.3669) time: 0.8625 data: 0.0002 max mem: 29859 [02:56:13.958857] Epoch: [348] [ 80/850] eta: 0:11:36 lr: 0.001551 loss: 0.0144 (0.0148) loss_rec_all: 0.0506 (0.0510) loss_rec_sfr: 0.0708 (0.0690) loss_cl: -0.3671 (-0.3669) time: 0.8654 data: 0.0002 max mem: 29859 [02:56:31.230199] Epoch: [348] [100/850] eta: 0:11:12 lr: 0.001551 loss: 0.0142 (0.0148) loss_rec_all: 0.0506 (0.0510) loss_rec_sfr: 0.0519 (0.0696) loss_cl: -0.3678 (-0.3670) time: 0.8635 data: 0.0003 max mem: 29859 [02:56:48.524822] Epoch: [348] [120/850] eta: 0:10:50 lr: 0.001551 loss: 0.0132 (0.0148) loss_rec_all: 0.0495 (0.0510) loss_rec_sfr: 0.0747 (0.0707) loss_cl: -0.3682 (-0.3672) time: 0.8647 data: 0.0003 max mem: 29859 [02:57:05.792547] Epoch: [348] [140/850] eta: 0:10:29 lr: 0.001551 loss: 0.0133 (0.0146) loss_rec_all: 0.0497 (0.0508) loss_rec_sfr: 0.0559 (0.0704) loss_cl: -0.3679 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [02:57:23.096511] Epoch: [348] [160/850] eta: 0:10:10 lr: 0.001551 loss: 0.0127 (0.0144) loss_rec_all: 0.0489 (0.0507) loss_rec_sfr: 0.0531 (0.0694) loss_cl: -0.3674 (-0.3673) time: 0.8651 data: 0.0002 max mem: 29859 [02:57:40.342847] Epoch: [348] [180/850] eta: 0:09:50 lr: 0.001551 loss: 0.0130 (0.0144) loss_rec_all: 0.0492 (0.0506) loss_rec_sfr: 0.0687 (0.0697) loss_cl: -0.3676 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [02:57:57.647945] Epoch: [348] [200/850] eta: 0:09:32 lr: 0.001551 loss: 0.0126 (0.0142) loss_rec_all: 0.0488 (0.0504) loss_rec_sfr: 0.0466 (0.0689) loss_cl: -0.3667 (-0.3672) time: 0.8652 data: 0.0002 max mem: 29859 [02:58:14.900141] Epoch: [348] [220/850] eta: 0:09:13 lr: 0.001551 loss: 0.0124 (0.0141) loss_rec_all: 0.0487 (0.0503) loss_rec_sfr: 0.0547 (0.0690) loss_cl: -0.3670 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [02:58:32.199888] Epoch: [348] [240/850] eta: 0:08:55 lr: 0.001551 loss: 0.0155 (0.0141) loss_rec_all: 0.0514 (0.0504) loss_rec_sfr: 0.0681 (0.0688) loss_cl: -0.3671 (-0.3672) time: 0.8649 data: 0.0003 max mem: 29859 [02:58:49.447397] Epoch: [348] [260/850] eta: 0:08:37 lr: 0.001550 loss: 0.0126 (0.0141) loss_rec_all: 0.0490 (0.0503) loss_rec_sfr: 0.0549 (0.0685) loss_cl: -0.3681 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [02:59:06.745989] Epoch: [348] [280/850] eta: 0:08:19 lr: 0.001550 loss: 0.0133 (0.0140) loss_rec_all: 0.0496 (0.0503) loss_rec_sfr: 0.0595 (0.0686) loss_cl: -0.3683 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [02:59:24.001629] Epoch: [348] [300/850] eta: 0:08:01 lr: 0.001550 loss: 0.0132 (0.0140) loss_rec_all: 0.0497 (0.0503) loss_rec_sfr: 0.0584 (0.0686) loss_cl: -0.3682 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [02:59:41.296993] Epoch: [348] [320/850] eta: 0:07:43 lr: 0.001550 loss: 0.0130 (0.0140) loss_rec_all: 0.0494 (0.0503) loss_rec_sfr: 0.0566 (0.0686) loss_cl: -0.3675 (-0.3674) time: 0.8647 data: 0.0003 max mem: 29859 [02:59:58.578520] Epoch: [348] [340/850] eta: 0:07:25 lr: 0.001550 loss: 0.0131 (0.0140) loss_rec_all: 0.0492 (0.0503) loss_rec_sfr: 0.0685 (0.0688) loss_cl: -0.3669 (-0.3674) time: 0.8640 data: 0.0003 max mem: 29859 [03:00:15.852442] Epoch: [348] [360/850] eta: 0:07:07 lr: 0.001550 loss: 0.0145 (0.0141) loss_rec_all: 0.0505 (0.0503) loss_rec_sfr: 0.0766 (0.0693) loss_cl: -0.3665 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [03:00:33.107055] Epoch: [348] [380/850] eta: 0:06:50 lr: 0.001550 loss: 0.0130 (0.0141) loss_rec_all: 0.0492 (0.0503) loss_rec_sfr: 0.0711 (0.0696) loss_cl: -0.3666 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [03:00:50.420947] Epoch: [348] [400/850] eta: 0:06:32 lr: 0.001550 loss: 0.0134 (0.0140) loss_rec_all: 0.0495 (0.0503) loss_rec_sfr: 0.0818 (0.0700) loss_cl: -0.3670 (-0.3672) time: 0.8656 data: 0.0002 max mem: 29859 [03:01:07.685499] Epoch: [348] [420/850] eta: 0:06:14 lr: 0.001550 loss: 0.0123 (0.0140) loss_rec_all: 0.0486 (0.0502) loss_rec_sfr: 0.0516 (0.0697) loss_cl: -0.3676 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [03:01:24.988211] Epoch: [348] [440/850] eta: 0:05:57 lr: 0.001549 loss: 0.0134 (0.0140) loss_rec_all: 0.0494 (0.0502) loss_rec_sfr: 0.0718 (0.0702) loss_cl: -0.3682 (-0.3673) time: 0.8651 data: 0.0002 max mem: 29859 [03:01:42.229210] Epoch: [348] [460/850] eta: 0:05:39 lr: 0.001549 loss: 0.0132 (0.0140) loss_rec_all: 0.0494 (0.0502) loss_rec_sfr: 0.0776 (0.0705) loss_cl: -0.3678 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [03:01:59.526421] Epoch: [348] [480/850] eta: 0:05:22 lr: 0.001549 loss: 0.0126 (0.0139) loss_rec_all: 0.0490 (0.0502) loss_rec_sfr: 0.0551 (0.0705) loss_cl: -0.3676 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [03:02:16.767252] Epoch: [348] [500/850] eta: 0:05:04 lr: 0.001549 loss: 0.0131 (0.0139) loss_rec_all: 0.0493 (0.0501) loss_rec_sfr: 0.0520 (0.0704) loss_cl: -0.3676 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [03:02:34.044709] Epoch: [348] [520/850] eta: 0:04:47 lr: 0.001549 loss: 0.0138 (0.0139) loss_rec_all: 0.0499 (0.0501) loss_rec_sfr: 0.0577 (0.0704) loss_cl: -0.3673 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [03:02:51.293947] Epoch: [348] [540/850] eta: 0:04:29 lr: 0.001549 loss: 0.0129 (0.0139) loss_rec_all: 0.0492 (0.0501) loss_rec_sfr: 0.0514 (0.0699) loss_cl: -0.3667 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [03:03:08.591740] Epoch: [348] [560/850] eta: 0:04:12 lr: 0.001549 loss: 0.0163 (0.0140) loss_rec_all: 0.0524 (0.0503) loss_rec_sfr: 0.0680 (0.0700) loss_cl: -0.3665 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [03:03:25.885294] Epoch: [348] [580/850] eta: 0:03:54 lr: 0.001549 loss: 0.0157 (0.0141) loss_rec_all: 0.0518 (0.0503) loss_rec_sfr: 0.0643 (0.0700) loss_cl: -0.3667 (-0.3673) time: 0.8646 data: 0.0003 max mem: 29859 [03:03:43.212663] Epoch: [348] [600/850] eta: 0:03:37 lr: 0.001549 loss: 0.0150 (0.0141) loss_rec_all: 0.0512 (0.0504) loss_rec_sfr: 0.0614 (0.0700) loss_cl: -0.3674 (-0.3673) time: 0.8663 data: 0.0002 max mem: 29859 [03:04:00.483482] Epoch: [348] [620/850] eta: 0:03:19 lr: 0.001548 loss: 0.0142 (0.0141) loss_rec_all: 0.0504 (0.0504) loss_rec_sfr: 0.0571 (0.0701) loss_cl: -0.3679 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [03:04:17.788383] Epoch: [348] [640/850] eta: 0:03:02 lr: 0.001548 loss: 0.0139 (0.0142) loss_rec_all: 0.0499 (0.0504) loss_rec_sfr: 0.0797 (0.0704) loss_cl: -0.3677 (-0.3673) time: 0.8652 data: 0.0002 max mem: 29859 [03:04:35.020477] Epoch: [348] [660/850] eta: 0:02:45 lr: 0.001548 loss: 0.0133 (0.0142) loss_rec_all: 0.0493 (0.0504) loss_rec_sfr: 0.0598 (0.0702) loss_cl: -0.3677 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [03:04:52.333252] Epoch: [348] [680/850] eta: 0:02:27 lr: 0.001548 loss: 0.0142 (0.0142) loss_rec_all: 0.0505 (0.0504) loss_rec_sfr: 0.0585 (0.0701) loss_cl: -0.3672 (-0.3673) time: 0.8656 data: 0.0002 max mem: 29859 [03:05:09.572395] Epoch: [348] [700/850] eta: 0:02:10 lr: 0.001548 loss: 0.0132 (0.0142) loss_rec_all: 0.0495 (0.0504) loss_rec_sfr: 0.0514 (0.0701) loss_cl: -0.3675 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [03:05:26.868196] Epoch: [348] [720/850] eta: 0:01:52 lr: 0.001548 loss: 0.0128 (0.0141) loss_rec_all: 0.0490 (0.0504) loss_rec_sfr: 0.0508 (0.0700) loss_cl: -0.3675 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [03:05:44.110520] Epoch: [348] [740/850] eta: 0:01:35 lr: 0.001548 loss: 0.0130 (0.0141) loss_rec_all: 0.0494 (0.0504) loss_rec_sfr: 0.0783 (0.0702) loss_cl: -0.3677 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [03:06:01.400177] Epoch: [348] [760/850] eta: 0:01:18 lr: 0.001548 loss: 0.0142 (0.0141) loss_rec_all: 0.0506 (0.0504) loss_rec_sfr: 0.0815 (0.0705) loss_cl: -0.3682 (-0.3673) time: 0.8644 data: 0.0003 max mem: 29859 [03:06:18.707392] Epoch: [348] [780/850] eta: 0:01:00 lr: 0.001548 loss: 0.0121 (0.0141) loss_rec_all: 0.0486 (0.0503) loss_rec_sfr: 0.0511 (0.0703) loss_cl: -0.3682 (-0.3673) time: 0.8653 data: 0.0003 max mem: 29859 [03:06:36.007616] Epoch: [348] [800/850] eta: 0:00:43 lr: 0.001547 loss: 0.0132 (0.0141) loss_rec_all: 0.0493 (0.0503) loss_rec_sfr: 0.0705 (0.0704) loss_cl: -0.3671 (-0.3673) time: 0.8650 data: 0.0002 max mem: 29859 [03:06:53.277625] Epoch: [348] [820/850] eta: 0:00:26 lr: 0.001547 loss: 0.0126 (0.0141) loss_rec_all: 0.0489 (0.0503) loss_rec_sfr: 0.0500 (0.0704) loss_cl: -0.3667 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [03:07:10.631505] Epoch: [348] [840/850] eta: 0:00:08 lr: 0.001547 loss: 0.0141 (0.0141) loss_rec_all: 0.0505 (0.0503) loss_rec_sfr: 0.0650 (0.0706) loss_cl: -0.3668 (-0.3673) time: 0.8676 data: 0.0020 max mem: 29859 [03:07:18.393530] Epoch: [348] [849/850] eta: 0:00:00 lr: 0.001547 loss: 0.0141 (0.0141) loss_rec_all: 0.0505 (0.0503) loss_rec_sfr: 0.0702 (0.0706) loss_cl: -0.3669 (-0.3673) time: 0.8656 data: 0.0019 max mem: 29859 [03:07:18.537369] Epoch: [348] Total time: 0:12:17 (0.8681 s / it) [03:07:18.539765] Averaged stats: lr: 0.001547 loss: 0.0141 (0.0141) loss_rec_all: 0.0505 (0.0503) loss_rec_sfr: 0.0702 (0.0699) loss_cl: -0.3669 (-0.3673) [03:07:18.552119] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [03:07:22.400704] Epoch: [349] [ 0/850] eta: 0:54:30 lr: 0.001547 loss: 0.0139 (0.0139) loss_rec_all: 0.0502 (0.0502) loss_rec_sfr: 0.0487 (0.0487) loss_cl: -0.3662 (-0.3662) time: 3.8478 data: 2.9778 max mem: 29859 [03:07:39.622782] Epoch: [349] [ 20/850] eta: 0:13:52 lr: 0.001547 loss: 0.0135 (0.0142) loss_rec_all: 0.0497 (0.0504) loss_rec_sfr: 0.0682 (0.0709) loss_cl: -0.3673 (-0.3672) time: 0.8611 data: 0.0002 max mem: 29859 [03:07:56.889392] Epoch: [349] [ 40/850] eta: 0:12:37 lr: 0.001547 loss: 0.0126 (0.0137) loss_rec_all: 0.0490 (0.0499) loss_rec_sfr: 0.0534 (0.0696) loss_cl: -0.3675 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [03:08:14.116296] Epoch: [349] [ 60/850] eta: 0:11:59 lr: 0.001547 loss: 0.0130 (0.0136) loss_rec_all: 0.0491 (0.0498) loss_rec_sfr: 0.0543 (0.0687) loss_cl: -0.3672 (-0.3672) time: 0.8613 data: 0.0002 max mem: 29859 [03:08:31.392375] Epoch: [349] [ 80/850] eta: 0:11:32 lr: 0.001547 loss: 0.0138 (0.0137) loss_rec_all: 0.0502 (0.0499) loss_rec_sfr: 0.0708 (0.0715) loss_cl: -0.3672 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [03:08:48.601621] Epoch: [349] [100/850] eta: 0:11:08 lr: 0.001547 loss: 0.0127 (0.0137) loss_rec_all: 0.0491 (0.0499) loss_rec_sfr: 0.0552 (0.0710) loss_cl: -0.3671 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [03:09:05.898149] Epoch: [349] [120/850] eta: 0:10:47 lr: 0.001546 loss: 0.0129 (0.0136) loss_rec_all: 0.0493 (0.0498) loss_rec_sfr: 0.0515 (0.0693) loss_cl: -0.3675 (-0.3672) time: 0.8648 data: 0.0002 max mem: 29859 [03:09:23.154103] Epoch: [349] [140/850] eta: 0:10:27 lr: 0.001546 loss: 0.0141 (0.0137) loss_rec_all: 0.0504 (0.0499) loss_rec_sfr: 0.0780 (0.0700) loss_cl: -0.3679 (-0.3673) time: 0.8627 data: 0.0003 max mem: 29859 [03:09:40.427081] Epoch: [349] [160/850] eta: 0:10:07 lr: 0.001546 loss: 0.0137 (0.0138) loss_rec_all: 0.0502 (0.0500) loss_rec_sfr: 0.0660 (0.0697) loss_cl: -0.3677 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [03:09:57.707788] Epoch: [349] [180/850] eta: 0:09:49 lr: 0.001546 loss: 0.0125 (0.0137) loss_rec_all: 0.0490 (0.0500) loss_rec_sfr: 0.0509 (0.0688) loss_cl: -0.3680 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [03:10:15.021293] Epoch: [349] [200/850] eta: 0:09:30 lr: 0.001546 loss: 0.0130 (0.0137) loss_rec_all: 0.0490 (0.0499) loss_rec_sfr: 0.0571 (0.0688) loss_cl: -0.3677 (-0.3674) time: 0.8656 data: 0.0002 max mem: 29859 [03:10:32.276774] Epoch: [349] [220/850] eta: 0:09:12 lr: 0.001546 loss: 0.0119 (0.0136) loss_rec_all: 0.0483 (0.0498) loss_rec_sfr: 0.0500 (0.0680) loss_cl: -0.3675 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [03:10:49.587359] Epoch: [349] [240/850] eta: 0:08:54 lr: 0.001546 loss: 0.0126 (0.0135) loss_rec_all: 0.0488 (0.0497) loss_rec_sfr: 0.0556 (0.0681) loss_cl: -0.3670 (-0.3674) time: 0.8655 data: 0.0002 max mem: 29859 [03:11:06.797253] Epoch: [349] [260/850] eta: 0:08:35 lr: 0.001546 loss: 0.0127 (0.0135) loss_rec_all: 0.0489 (0.0497) loss_rec_sfr: 0.0762 (0.0686) loss_cl: -0.3664 (-0.3673) time: 0.8605 data: 0.0002 max mem: 29859 [03:11:24.045362] Epoch: [349] [280/850] eta: 0:08:17 lr: 0.001546 loss: 0.0141 (0.0135) loss_rec_all: 0.0502 (0.0498) loss_rec_sfr: 0.0736 (0.0691) loss_cl: -0.3663 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [03:11:41.251943] Epoch: [349] [300/850] eta: 0:07:59 lr: 0.001546 loss: 0.0119 (0.0135) loss_rec_all: 0.0483 (0.0497) loss_rec_sfr: 0.0485 (0.0686) loss_cl: -0.3669 (-0.3672) time: 0.8603 data: 0.0002 max mem: 29859 [03:11:58.502631] Epoch: [349] [320/850] eta: 0:07:42 lr: 0.001545 loss: 0.0130 (0.0135) loss_rec_all: 0.0492 (0.0497) loss_rec_sfr: 0.0569 (0.0686) loss_cl: -0.3673 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [03:12:15.711617] Epoch: [349] [340/850] eta: 0:07:24 lr: 0.001545 loss: 0.0124 (0.0134) loss_rec_all: 0.0488 (0.0497) loss_rec_sfr: 0.0565 (0.0681) loss_cl: -0.3675 (-0.3672) time: 0.8604 data: 0.0002 max mem: 29859 [03:12:32.989649] Epoch: [349] [360/850] eta: 0:07:06 lr: 0.001545 loss: 0.0137 (0.0135) loss_rec_all: 0.0500 (0.0497) loss_rec_sfr: 0.0716 (0.0683) loss_cl: -0.3674 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [03:12:50.271657] Epoch: [349] [380/850] eta: 0:06:49 lr: 0.001545 loss: 0.0148 (0.0135) loss_rec_all: 0.0511 (0.0498) loss_rec_sfr: 0.0701 (0.0687) loss_cl: -0.3679 (-0.3673) time: 0.8640 data: 0.0003 max mem: 29859 [03:13:07.560249] Epoch: [349] [400/850] eta: 0:06:31 lr: 0.001545 loss: 0.0144 (0.0136) loss_rec_all: 0.0508 (0.0498) loss_rec_sfr: 0.0608 (0.0688) loss_cl: -0.3684 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [03:13:24.826217] Epoch: [349] [420/850] eta: 0:06:14 lr: 0.001545 loss: 0.0143 (0.0137) loss_rec_all: 0.0508 (0.0499) loss_rec_sfr: 0.0580 (0.0687) loss_cl: -0.3683 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [03:13:42.122219] Epoch: [349] [440/850] eta: 0:05:56 lr: 0.001545 loss: 0.0139 (0.0137) loss_rec_all: 0.0502 (0.0499) loss_rec_sfr: 0.0617 (0.0689) loss_cl: -0.3680 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [03:13:59.358332] Epoch: [349] [460/850] eta: 0:05:39 lr: 0.001545 loss: 0.0134 (0.0137) loss_rec_all: 0.0498 (0.0499) loss_rec_sfr: 0.0501 (0.0688) loss_cl: -0.3671 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [03:14:16.644541] Epoch: [349] [480/850] eta: 0:05:21 lr: 0.001544 loss: 0.0131 (0.0136) loss_rec_all: 0.0492 (0.0499) loss_rec_sfr: 0.0541 (0.0687) loss_cl: -0.3668 (-0.3674) time: 0.8642 data: 0.0002 max mem: 29859 [03:14:33.869695] Epoch: [349] [500/850] eta: 0:05:04 lr: 0.001544 loss: 0.0125 (0.0136) loss_rec_all: 0.0488 (0.0499) loss_rec_sfr: 0.0527 (0.0685) loss_cl: -0.3666 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [03:14:51.163962] Epoch: [349] [520/850] eta: 0:04:46 lr: 0.001544 loss: 0.0147 (0.0137) loss_rec_all: 0.0509 (0.0499) loss_rec_sfr: 0.0712 (0.0688) loss_cl: -0.3668 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [03:15:08.387219] Epoch: [349] [540/850] eta: 0:04:29 lr: 0.001544 loss: 0.0140 (0.0137) loss_rec_all: 0.0499 (0.0499) loss_rec_sfr: 0.0708 (0.0690) loss_cl: -0.3665 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [03:15:25.667085] Epoch: [349] [560/850] eta: 0:04:11 lr: 0.001544 loss: 0.0145 (0.0137) loss_rec_all: 0.0509 (0.0500) loss_rec_sfr: 0.0747 (0.0694) loss_cl: -0.3674 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [03:15:42.900230] Epoch: [349] [580/850] eta: 0:03:54 lr: 0.001544 loss: 0.0125 (0.0137) loss_rec_all: 0.0489 (0.0500) loss_rec_sfr: 0.0556 (0.0694) loss_cl: -0.3678 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [03:16:00.164842] Epoch: [349] [600/850] eta: 0:03:36 lr: 0.001544 loss: 0.0123 (0.0137) loss_rec_all: 0.0488 (0.0499) loss_rec_sfr: 0.0512 (0.0694) loss_cl: -0.3675 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [03:16:17.444656] Epoch: [349] [620/850] eta: 0:03:19 lr: 0.001544 loss: 0.0131 (0.0137) loss_rec_all: 0.0494 (0.0499) loss_rec_sfr: 0.0544 (0.0692) loss_cl: -0.3670 (-0.3673) time: 0.8639 data: 0.0004 max mem: 29859 [03:16:34.706481] Epoch: [349] [640/850] eta: 0:03:02 lr: 0.001544 loss: 0.0120 (0.0137) loss_rec_all: 0.0484 (0.0499) loss_rec_sfr: 0.0504 (0.0690) loss_cl: -0.3674 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [03:16:51.932809] Epoch: [349] [660/850] eta: 0:02:44 lr: 0.001543 loss: 0.0123 (0.0136) loss_rec_all: 0.0487 (0.0499) loss_rec_sfr: 0.0502 (0.0688) loss_cl: -0.3674 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [03:17:09.230079] Epoch: [349] [680/850] eta: 0:02:27 lr: 0.001543 loss: 0.0152 (0.0137) loss_rec_all: 0.0515 (0.0500) loss_rec_sfr: 0.0774 (0.0691) loss_cl: -0.3679 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [03:17:26.460862] Epoch: [349] [700/850] eta: 0:02:10 lr: 0.001543 loss: 0.0146 (0.0138) loss_rec_all: 0.0509 (0.0500) loss_rec_sfr: 0.0576 (0.0692) loss_cl: -0.3679 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [03:17:43.755102] Epoch: [349] [720/850] eta: 0:01:52 lr: 0.001543 loss: 0.0145 (0.0138) loss_rec_all: 0.0510 (0.0501) loss_rec_sfr: 0.0591 (0.0692) loss_cl: -0.3677 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [03:18:00.983417] Epoch: [349] [740/850] eta: 0:01:35 lr: 0.001543 loss: 0.0150 (0.0139) loss_rec_all: 0.0511 (0.0501) loss_rec_sfr: 0.0625 (0.0693) loss_cl: -0.3674 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [03:18:18.276207] Epoch: [349] [760/850] eta: 0:01:18 lr: 0.001543 loss: 0.0129 (0.0139) loss_rec_all: 0.0492 (0.0501) loss_rec_sfr: 0.0509 (0.0691) loss_cl: -0.3674 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [03:18:35.506413] Epoch: [349] [780/850] eta: 0:01:00 lr: 0.001543 loss: 0.0131 (0.0139) loss_rec_all: 0.0494 (0.0501) loss_rec_sfr: 0.0529 (0.0690) loss_cl: -0.3669 (-0.3673) time: 0.8615 data: 0.0001 max mem: 29859 [03:18:52.782859] Epoch: [349] [800/850] eta: 0:00:43 lr: 0.001543 loss: 0.0129 (0.0139) loss_rec_all: 0.0492 (0.0501) loss_rec_sfr: 0.0543 (0.0689) loss_cl: -0.3669 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [03:19:10.068964] Epoch: [349] [820/850] eta: 0:00:25 lr: 0.001543 loss: 0.0134 (0.0138) loss_rec_all: 0.0497 (0.0501) loss_rec_sfr: 0.0594 (0.0689) loss_cl: -0.3670 (-0.3673) time: 0.8642 data: 0.0003 max mem: 29859 [03:19:27.366065] Epoch: [349] [840/850] eta: 0:00:08 lr: 0.001542 loss: 0.0129 (0.0138) loss_rec_all: 0.0493 (0.0501) loss_rec_sfr: 0.0553 (0.0689) loss_cl: -0.3678 (-0.3673) time: 0.8648 data: 0.0006 max mem: 29859 [03:19:35.119967] Epoch: [349] [849/850] eta: 0:00:00 lr: 0.001542 loss: 0.0125 (0.0138) loss_rec_all: 0.0488 (0.0501) loss_rec_sfr: 0.0744 (0.0689) loss_cl: -0.3678 (-0.3673) time: 0.8631 data: 0.0005 max mem: 29859 [03:19:35.248513] Epoch: [349] Total time: 0:12:16 (0.8667 s / it) [03:19:35.251601] Averaged stats: lr: 0.001542 loss: 0.0125 (0.0138) loss_rec_all: 0.0488 (0.0501) loss_rec_sfr: 0.0744 (0.0694) loss_cl: -0.3678 (-0.3673) [03:19:35.264325] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [03:19:39.653620] Epoch: [350] [ 0/850] eta: 1:02:10 lr: 0.001542 loss: 0.0131 (0.0131) loss_rec_all: 0.0492 (0.0492) loss_rec_sfr: 0.1001 (0.1001) loss_cl: -0.3677 (-0.3677) time: 4.3885 data: 3.5328 max mem: 29859 [03:19:56.889010] Epoch: [350] [ 20/850] eta: 0:14:14 lr: 0.001542 loss: 0.0132 (0.0133) loss_rec_all: 0.0494 (0.0495) loss_rec_sfr: 0.0852 (0.0830) loss_cl: -0.3682 (-0.3681) time: 0.8617 data: 0.0002 max mem: 29859 [03:20:14.159280] Epoch: [350] [ 40/850] eta: 0:12:48 lr: 0.001542 loss: 0.0124 (0.0131) loss_rec_all: 0.0488 (0.0494) loss_rec_sfr: 0.0521 (0.0705) loss_cl: -0.3682 (-0.3681) time: 0.8635 data: 0.0002 max mem: 29859 [03:20:31.413492] Epoch: [350] [ 60/850] eta: 0:12:07 lr: 0.001542 loss: 0.0130 (0.0133) loss_rec_all: 0.0492 (0.0496) loss_rec_sfr: 0.0723 (0.0698) loss_cl: -0.3673 (-0.3678) time: 0.8627 data: 0.0002 max mem: 29859 [03:20:48.737504] Epoch: [350] [ 80/850] eta: 0:11:38 lr: 0.001542 loss: 0.0131 (0.0135) loss_rec_all: 0.0492 (0.0497) loss_rec_sfr: 0.0542 (0.0696) loss_cl: -0.3669 (-0.3676) time: 0.8661 data: 0.0002 max mem: 29859 [03:21:05.990304] Epoch: [350] [100/850] eta: 0:11:13 lr: 0.001542 loss: 0.0136 (0.0135) loss_rec_all: 0.0497 (0.0498) loss_rec_sfr: 0.0757 (0.0712) loss_cl: -0.3673 (-0.3675) time: 0.8626 data: 0.0002 max mem: 29859 [03:21:23.312971] Epoch: [350] [120/850] eta: 0:10:51 lr: 0.001542 loss: 0.0123 (0.0134) loss_rec_all: 0.0485 (0.0497) loss_rec_sfr: 0.0538 (0.0707) loss_cl: -0.3677 (-0.3675) time: 0.8661 data: 0.0003 max mem: 29859 [03:21:40.568141] Epoch: [350] [140/850] eta: 0:10:30 lr: 0.001542 loss: 0.0130 (0.0134) loss_rec_all: 0.0493 (0.0497) loss_rec_sfr: 0.0530 (0.0704) loss_cl: -0.3671 (-0.3675) time: 0.8627 data: 0.0002 max mem: 29859 [03:21:57.873446] Epoch: [350] [160/850] eta: 0:10:11 lr: 0.001542 loss: 0.0126 (0.0134) loss_rec_all: 0.0488 (0.0497) loss_rec_sfr: 0.0527 (0.0702) loss_cl: -0.3673 (-0.3674) time: 0.8652 data: 0.0002 max mem: 29859 [03:22:15.178280] Epoch: [350] [180/850] eta: 0:09:51 lr: 0.001541 loss: 0.0130 (0.0135) loss_rec_all: 0.0491 (0.0497) loss_rec_sfr: 0.0845 (0.0710) loss_cl: -0.3671 (-0.3674) time: 0.8652 data: 0.0003 max mem: 29859 [03:22:32.530504] Epoch: [350] [200/850] eta: 0:09:33 lr: 0.001541 loss: 0.0133 (0.0135) loss_rec_all: 0.0494 (0.0497) loss_rec_sfr: 0.0713 (0.0712) loss_cl: -0.3675 (-0.3674) time: 0.8675 data: 0.0002 max mem: 29859 [03:22:49.825400] Epoch: [350] [220/850] eta: 0:09:14 lr: 0.001541 loss: 0.0133 (0.0136) loss_rec_all: 0.0496 (0.0498) loss_rec_sfr: 0.0747 (0.0717) loss_cl: -0.3674 (-0.3674) time: 0.8647 data: 0.0003 max mem: 29859 [03:23:07.128559] Epoch: [350] [240/850] eta: 0:08:56 lr: 0.001541 loss: 0.0139 (0.0136) loss_rec_all: 0.0499 (0.0498) loss_rec_sfr: 0.0776 (0.0724) loss_cl: -0.3672 (-0.3674) time: 0.8651 data: 0.0002 max mem: 29859 [03:23:24.411045] Epoch: [350] [260/850] eta: 0:08:37 lr: 0.001541 loss: 0.0126 (0.0136) loss_rec_all: 0.0491 (0.0498) loss_rec_sfr: 0.0565 (0.0722) loss_cl: -0.3670 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [03:23:41.705680] Epoch: [350] [280/850] eta: 0:08:19 lr: 0.001541 loss: 0.0127 (0.0136) loss_rec_all: 0.0488 (0.0498) loss_rec_sfr: 0.0479 (0.0720) loss_cl: -0.3674 (-0.3674) time: 0.8647 data: 0.0002 max mem: 29859 [03:23:58.943183] Epoch: [350] [300/850] eta: 0:08:01 lr: 0.001541 loss: 0.0129 (0.0136) loss_rec_all: 0.0493 (0.0498) loss_rec_sfr: 0.0506 (0.0716) loss_cl: -0.3682 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [03:24:16.241045] Epoch: [350] [320/850] eta: 0:07:43 lr: 0.001541 loss: 0.0120 (0.0135) loss_rec_all: 0.0485 (0.0498) loss_rec_sfr: 0.0518 (0.0710) loss_cl: -0.3680 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [03:24:33.445657] Epoch: [350] [340/850] eta: 0:07:25 lr: 0.001541 loss: 0.0136 (0.0136) loss_rec_all: 0.0498 (0.0499) loss_rec_sfr: 0.0722 (0.0711) loss_cl: -0.3680 (-0.3675) time: 0.8602 data: 0.0002 max mem: 29859 [03:24:50.740175] Epoch: [350] [360/850] eta: 0:07:08 lr: 0.001540 loss: 0.0130 (0.0136) loss_rec_all: 0.0494 (0.0499) loss_rec_sfr: 0.0528 (0.0707) loss_cl: -0.3669 (-0.3674) time: 0.8647 data: 0.0002 max mem: 29859 [03:25:07.981282] Epoch: [350] [380/850] eta: 0:06:50 lr: 0.001540 loss: 0.0137 (0.0136) loss_rec_all: 0.0496 (0.0498) loss_rec_sfr: 0.0530 (0.0705) loss_cl: -0.3666 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [03:25:25.325116] Epoch: [350] [400/850] eta: 0:06:32 lr: 0.001540 loss: 0.0132 (0.0136) loss_rec_all: 0.0496 (0.0499) loss_rec_sfr: 0.0521 (0.0702) loss_cl: -0.3666 (-0.3673) time: 0.8671 data: 0.0003 max mem: 29859 [03:25:42.602261] Epoch: [350] [420/850] eta: 0:06:15 lr: 0.001540 loss: 0.0122 (0.0136) loss_rec_all: 0.0485 (0.0498) loss_rec_sfr: 0.0513 (0.0701) loss_cl: -0.3673 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [03:25:59.882994] Epoch: [350] [440/850] eta: 0:05:57 lr: 0.001540 loss: 0.0119 (0.0135) loss_rec_all: 0.0483 (0.0498) loss_rec_sfr: 0.0522 (0.0698) loss_cl: -0.3677 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [03:26:17.171426] Epoch: [350] [460/850] eta: 0:05:39 lr: 0.001540 loss: 0.0124 (0.0135) loss_rec_all: 0.0487 (0.0498) loss_rec_sfr: 0.0698 (0.0698) loss_cl: -0.3677 (-0.3674) time: 0.8644 data: 0.0002 max mem: 29859 [03:26:34.467494] Epoch: [350] [480/850] eta: 0:05:22 lr: 0.001540 loss: 0.0132 (0.0135) loss_rec_all: 0.0493 (0.0498) loss_rec_sfr: 0.0541 (0.0697) loss_cl: -0.3674 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [03:26:51.722906] Epoch: [350] [500/850] eta: 0:05:04 lr: 0.001540 loss: 0.0125 (0.0136) loss_rec_all: 0.0489 (0.0498) loss_rec_sfr: 0.0571 (0.0696) loss_cl: -0.3670 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [03:27:09.022494] Epoch: [350] [520/850] eta: 0:04:47 lr: 0.001539 loss: 0.0135 (0.0136) loss_rec_all: 0.0495 (0.0498) loss_rec_sfr: 0.0733 (0.0699) loss_cl: -0.3668 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [03:27:26.286488] Epoch: [350] [540/850] eta: 0:04:29 lr: 0.001539 loss: 0.0131 (0.0136) loss_rec_all: 0.0494 (0.0498) loss_rec_sfr: 0.0537 (0.0698) loss_cl: -0.3672 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [03:27:43.585580] Epoch: [350] [560/850] eta: 0:04:12 lr: 0.001539 loss: 0.0137 (0.0136) loss_rec_all: 0.0499 (0.0498) loss_rec_sfr: 0.0766 (0.0699) loss_cl: -0.3672 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [03:28:00.834087] Epoch: [350] [580/850] eta: 0:03:54 lr: 0.001539 loss: 0.0132 (0.0136) loss_rec_all: 0.0494 (0.0499) loss_rec_sfr: 0.0604 (0.0699) loss_cl: -0.3675 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [03:28:18.134554] Epoch: [350] [600/850] eta: 0:03:37 lr: 0.001539 loss: 0.0132 (0.0137) loss_rec_all: 0.0496 (0.0499) loss_rec_sfr: 0.0516 (0.0698) loss_cl: -0.3674 (-0.3673) time: 0.8650 data: 0.0002 max mem: 29859 [03:28:35.384877] Epoch: [350] [620/850] eta: 0:03:20 lr: 0.001539 loss: 0.0134 (0.0137) loss_rec_all: 0.0498 (0.0499) loss_rec_sfr: 0.0557 (0.0695) loss_cl: -0.3679 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [03:28:52.691549] Epoch: [350] [640/850] eta: 0:03:02 lr: 0.001539 loss: 0.0131 (0.0137) loss_rec_all: 0.0495 (0.0500) loss_rec_sfr: 0.0699 (0.0696) loss_cl: -0.3681 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [03:29:09.952955] Epoch: [350] [660/850] eta: 0:02:45 lr: 0.001539 loss: 0.0130 (0.0137) loss_rec_all: 0.0494 (0.0500) loss_rec_sfr: 0.0570 (0.0695) loss_cl: -0.3683 (-0.3674) time: 0.8630 data: 0.0003 max mem: 29859 [03:29:27.255240] Epoch: [350] [680/850] eta: 0:02:27 lr: 0.001539 loss: 0.0132 (0.0137) loss_rec_all: 0.0494 (0.0499) loss_rec_sfr: 0.0586 (0.0695) loss_cl: -0.3675 (-0.3674) time: 0.8651 data: 0.0002 max mem: 29859 [03:29:44.529370] Epoch: [350] [700/850] eta: 0:02:10 lr: 0.001539 loss: 0.0124 (0.0137) loss_rec_all: 0.0488 (0.0499) loss_rec_sfr: 0.0492 (0.0692) loss_cl: -0.3672 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [03:30:01.829846] Epoch: [350] [720/850] eta: 0:01:52 lr: 0.001538 loss: 0.0137 (0.0137) loss_rec_all: 0.0499 (0.0499) loss_rec_sfr: 0.0685 (0.0692) loss_cl: -0.3670 (-0.3674) time: 0.8650 data: 0.0002 max mem: 29859 [03:30:19.084260] Epoch: [350] [740/850] eta: 0:01:35 lr: 0.001538 loss: 0.0123 (0.0137) loss_rec_all: 0.0487 (0.0499) loss_rec_sfr: 0.0508 (0.0690) loss_cl: -0.3673 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [03:30:36.399288] Epoch: [350] [760/850] eta: 0:01:18 lr: 0.001538 loss: 0.0125 (0.0136) loss_rec_all: 0.0489 (0.0499) loss_rec_sfr: 0.0513 (0.0690) loss_cl: -0.3677 (-0.3674) time: 0.8657 data: 0.0002 max mem: 29859 [03:30:53.659397] Epoch: [350] [780/850] eta: 0:01:00 lr: 0.001538 loss: 0.0141 (0.0137) loss_rec_all: 0.0501 (0.0499) loss_rec_sfr: 0.0721 (0.0692) loss_cl: -0.3678 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [03:31:10.957029] Epoch: [350] [800/850] eta: 0:00:43 lr: 0.001538 loss: 0.0135 (0.0137) loss_rec_all: 0.0499 (0.0499) loss_rec_sfr: 0.0540 (0.0691) loss_cl: -0.3678 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [03:31:28.199158] Epoch: [350] [820/850] eta: 0:00:26 lr: 0.001538 loss: 0.0149 (0.0137) loss_rec_all: 0.0511 (0.0499) loss_rec_sfr: 0.0711 (0.0693) loss_cl: -0.3676 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [03:31:45.541412] Epoch: [350] [840/850] eta: 0:00:08 lr: 0.001538 loss: 0.0146 (0.0137) loss_rec_all: 0.0506 (0.0500) loss_rec_sfr: 0.0756 (0.0695) loss_cl: -0.3675 (-0.3674) time: 0.8671 data: 0.0013 max mem: 29859 [03:31:53.351510] Epoch: [350] [849/850] eta: 0:00:00 lr: 0.001538 loss: 0.0151 (0.0138) loss_rec_all: 0.0513 (0.0500) loss_rec_sfr: 0.0649 (0.0696) loss_cl: -0.3674 (-0.3674) time: 0.8688 data: 0.0013 max mem: 29859 [03:31:53.491871] Epoch: [350] Total time: 0:12:18 (0.8685 s / it) [03:31:53.494800] Averaged stats: lr: 0.001538 loss: 0.0151 (0.0138) loss_rec_all: 0.0513 (0.0501) loss_rec_sfr: 0.0649 (0.0708) loss_cl: -0.3674 (-0.3673) [03:31:58.394650] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [03:32:02.691622] Epoch: [351] [ 0/850] eta: 1:00:51 lr: 0.001538 loss: 0.0185 (0.0185) loss_rec_all: 0.0547 (0.0547) loss_rec_sfr: 0.0750 (0.0750) loss_cl: -0.3678 (-0.3678) time: 4.2959 data: 3.4403 max mem: 29859 [03:32:19.853597] Epoch: [351] [ 20/850] eta: 0:14:08 lr: 0.001538 loss: 0.0145 (0.0151) loss_rec_all: 0.0509 (0.0514) loss_rec_sfr: 0.0542 (0.0658) loss_cl: -0.3677 (-0.3674) time: 0.8580 data: 0.0002 max mem: 29859 [03:32:37.131898] Epoch: [351] [ 40/850] eta: 0:12:45 lr: 0.001537 loss: 0.0146 (0.0149) loss_rec_all: 0.0507 (0.0512) loss_rec_sfr: 0.0720 (0.0698) loss_cl: -0.3676 (-0.3674) time: 0.8637 data: 0.0010 max mem: 29859 [03:32:54.387763] Epoch: [351] [ 60/850] eta: 0:12:05 lr: 0.001537 loss: 0.0131 (0.0146) loss_rec_all: 0.0494 (0.0508) loss_rec_sfr: 0.0549 (0.0688) loss_cl: -0.3670 (-0.3673) time: 0.8627 data: 0.0003 max mem: 29859 [03:33:11.672151] Epoch: [351] [ 80/850] eta: 0:11:36 lr: 0.001537 loss: 0.0139 (0.0144) loss_rec_all: 0.0500 (0.0507) loss_rec_sfr: 0.0733 (0.0702) loss_cl: -0.3671 (-0.3672) time: 0.8642 data: 0.0002 max mem: 29859 [03:33:28.957365] Epoch: [351] [100/850] eta: 0:11:12 lr: 0.001537 loss: 0.0133 (0.0142) loss_rec_all: 0.0496 (0.0504) loss_rec_sfr: 0.0778 (0.0713) loss_cl: -0.3674 (-0.3672) time: 0.8642 data: 0.0003 max mem: 29859 [03:33:46.247230] Epoch: [351] [120/850] eta: 0:10:50 lr: 0.001537 loss: 0.0130 (0.0140) loss_rec_all: 0.0493 (0.0503) loss_rec_sfr: 0.0544 (0.0708) loss_cl: -0.3674 (-0.3672) time: 0.8644 data: 0.0002 max mem: 29859 [03:34:03.521411] Epoch: [351] [140/850] eta: 0:10:30 lr: 0.001537 loss: 0.0129 (0.0139) loss_rec_all: 0.0492 (0.0501) loss_rec_sfr: 0.0551 (0.0708) loss_cl: -0.3674 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [03:34:20.815016] Epoch: [351] [160/850] eta: 0:10:10 lr: 0.001537 loss: 0.0135 (0.0139) loss_rec_all: 0.0495 (0.0501) loss_rec_sfr: 0.0690 (0.0707) loss_cl: -0.3674 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [03:34:38.064752] Epoch: [351] [180/850] eta: 0:09:50 lr: 0.001537 loss: 0.0135 (0.0139) loss_rec_all: 0.0496 (0.0502) loss_rec_sfr: 0.0729 (0.0709) loss_cl: -0.3675 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [03:34:55.353423] Epoch: [351] [200/850] eta: 0:09:32 lr: 0.001537 loss: 0.0126 (0.0139) loss_rec_all: 0.0489 (0.0501) loss_rec_sfr: 0.0566 (0.0709) loss_cl: -0.3676 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [03:35:12.608757] Epoch: [351] [220/850] eta: 0:09:13 lr: 0.001536 loss: 0.0118 (0.0138) loss_rec_all: 0.0481 (0.0500) loss_rec_sfr: 0.0488 (0.0703) loss_cl: -0.3675 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [03:35:29.948565] Epoch: [351] [240/850] eta: 0:08:55 lr: 0.001536 loss: 0.0123 (0.0137) loss_rec_all: 0.0486 (0.0500) loss_rec_sfr: 0.0500 (0.0697) loss_cl: -0.3670 (-0.3673) time: 0.8669 data: 0.0003 max mem: 29859 [03:35:47.207526] Epoch: [351] [260/850] eta: 0:08:37 lr: 0.001536 loss: 0.0125 (0.0136) loss_rec_all: 0.0490 (0.0499) loss_rec_sfr: 0.0543 (0.0691) loss_cl: -0.3672 (-0.3673) time: 0.8629 data: 0.0003 max mem: 29859 [03:36:04.499664] Epoch: [351] [280/850] eta: 0:08:19 lr: 0.001536 loss: 0.0127 (0.0136) loss_rec_all: 0.0490 (0.0499) loss_rec_sfr: 0.0506 (0.0688) loss_cl: -0.3674 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [03:36:21.789669] Epoch: [351] [300/850] eta: 0:08:01 lr: 0.001536 loss: 0.0135 (0.0136) loss_rec_all: 0.0497 (0.0499) loss_rec_sfr: 0.0538 (0.0687) loss_cl: -0.3679 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [03:36:39.078926] Epoch: [351] [320/850] eta: 0:07:43 lr: 0.001536 loss: 0.0130 (0.0136) loss_rec_all: 0.0494 (0.0499) loss_rec_sfr: 0.0692 (0.0685) loss_cl: -0.3683 (-0.3674) time: 0.8644 data: 0.0002 max mem: 29859 [03:36:56.327548] Epoch: [351] [340/850] eta: 0:07:25 lr: 0.001536 loss: 0.0135 (0.0136) loss_rec_all: 0.0501 (0.0499) loss_rec_sfr: 0.0565 (0.0686) loss_cl: -0.3684 (-0.3674) time: 0.8624 data: 0.0003 max mem: 29859 [03:37:13.627600] Epoch: [351] [360/850] eta: 0:07:07 lr: 0.001536 loss: 0.0136 (0.0137) loss_rec_all: 0.0500 (0.0499) loss_rec_sfr: 0.0766 (0.0691) loss_cl: -0.3676 (-0.3674) time: 0.8649 data: 0.0002 max mem: 29859 [03:37:30.866123] Epoch: [351] [380/850] eta: 0:06:50 lr: 0.001536 loss: 0.0134 (0.0137) loss_rec_all: 0.0497 (0.0499) loss_rec_sfr: 0.0743 (0.0693) loss_cl: -0.3674 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [03:37:48.188399] Epoch: [351] [400/850] eta: 0:06:32 lr: 0.001535 loss: 0.0153 (0.0137) loss_rec_all: 0.0512 (0.0500) loss_rec_sfr: 0.0712 (0.0696) loss_cl: -0.3668 (-0.3674) time: 0.8661 data: 0.0002 max mem: 29859 [03:38:05.448540] Epoch: [351] [420/850] eta: 0:06:14 lr: 0.001535 loss: 0.0135 (0.0138) loss_rec_all: 0.0498 (0.0500) loss_rec_sfr: 0.0550 (0.0695) loss_cl: -0.3675 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [03:38:22.755664] Epoch: [351] [440/850] eta: 0:05:57 lr: 0.001535 loss: 0.0145 (0.0138) loss_rec_all: 0.0506 (0.0500) loss_rec_sfr: 0.0748 (0.0698) loss_cl: -0.3674 (-0.3674) time: 0.8653 data: 0.0002 max mem: 29859 [03:38:40.018440] Epoch: [351] [460/850] eta: 0:05:39 lr: 0.001535 loss: 0.0127 (0.0138) loss_rec_all: 0.0490 (0.0500) loss_rec_sfr: 0.0503 (0.0694) loss_cl: -0.3671 (-0.3674) time: 0.8631 data: 0.0003 max mem: 29859 [03:38:57.324117] Epoch: [351] [480/850] eta: 0:05:22 lr: 0.001535 loss: 0.0140 (0.0138) loss_rec_all: 0.0502 (0.0500) loss_rec_sfr: 0.0717 (0.0696) loss_cl: -0.3674 (-0.3674) time: 0.8652 data: 0.0002 max mem: 29859 [03:39:14.612126] Epoch: [351] [500/850] eta: 0:05:04 lr: 0.001535 loss: 0.0129 (0.0138) loss_rec_all: 0.0491 (0.0500) loss_rec_sfr: 0.0736 (0.0697) loss_cl: -0.3672 (-0.3674) time: 0.8643 data: 0.0003 max mem: 29859 [03:39:31.920965] Epoch: [351] [520/850] eta: 0:04:47 lr: 0.001535 loss: 0.0123 (0.0138) loss_rec_all: 0.0486 (0.0500) loss_rec_sfr: 0.0507 (0.0695) loss_cl: -0.3668 (-0.3673) time: 0.8654 data: 0.0002 max mem: 29859 [03:39:49.184184] Epoch: [351] [540/850] eta: 0:04:29 lr: 0.001535 loss: 0.0126 (0.0137) loss_rec_all: 0.0490 (0.0500) loss_rec_sfr: 0.0495 (0.0693) loss_cl: -0.3673 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [03:40:06.490505] Epoch: [351] [560/850] eta: 0:04:12 lr: 0.001535 loss: 0.0145 (0.0138) loss_rec_all: 0.0505 (0.0500) loss_rec_sfr: 0.0753 (0.0696) loss_cl: -0.3672 (-0.3673) time: 0.8652 data: 0.0002 max mem: 29859 [03:40:23.750169] Epoch: [351] [580/850] eta: 0:03:54 lr: 0.001534 loss: 0.0130 (0.0138) loss_rec_all: 0.0494 (0.0500) loss_rec_sfr: 0.0525 (0.0694) loss_cl: -0.3675 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [03:40:41.033595] Epoch: [351] [600/850] eta: 0:03:37 lr: 0.001534 loss: 0.0138 (0.0138) loss_rec_all: 0.0499 (0.0500) loss_rec_sfr: 0.0573 (0.0693) loss_cl: -0.3671 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [03:40:58.277700] Epoch: [351] [620/850] eta: 0:03:19 lr: 0.001534 loss: 0.0123 (0.0138) loss_rec_all: 0.0486 (0.0500) loss_rec_sfr: 0.0519 (0.0691) loss_cl: -0.3674 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [03:41:15.576389] Epoch: [351] [640/850] eta: 0:03:02 lr: 0.001534 loss: 0.0132 (0.0138) loss_rec_all: 0.0495 (0.0500) loss_rec_sfr: 0.0564 (0.0692) loss_cl: -0.3674 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [03:41:32.819921] Epoch: [351] [660/850] eta: 0:02:45 lr: 0.001534 loss: 0.0125 (0.0137) loss_rec_all: 0.0489 (0.0500) loss_rec_sfr: 0.0491 (0.0690) loss_cl: -0.3674 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [03:41:50.110990] Epoch: [351] [680/850] eta: 0:02:27 lr: 0.001534 loss: 0.0128 (0.0137) loss_rec_all: 0.0490 (0.0500) loss_rec_sfr: 0.0499 (0.0690) loss_cl: -0.3675 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [03:42:07.353895] Epoch: [351] [700/850] eta: 0:02:10 lr: 0.001534 loss: 0.0130 (0.0137) loss_rec_all: 0.0491 (0.0500) loss_rec_sfr: 0.0701 (0.0690) loss_cl: -0.3672 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [03:42:24.635550] Epoch: [351] [720/850] eta: 0:01:52 lr: 0.001534 loss: 0.0129 (0.0137) loss_rec_all: 0.0489 (0.0500) loss_rec_sfr: 0.0722 (0.0691) loss_cl: -0.3668 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [03:42:41.865018] Epoch: [351] [740/850] eta: 0:01:35 lr: 0.001534 loss: 0.0147 (0.0137) loss_rec_all: 0.0508 (0.0500) loss_rec_sfr: 0.0554 (0.0691) loss_cl: -0.3669 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [03:42:59.199003] Epoch: [351] [760/850] eta: 0:01:18 lr: 0.001533 loss: 0.0135 (0.0138) loss_rec_all: 0.0499 (0.0500) loss_rec_sfr: 0.0535 (0.0693) loss_cl: -0.3675 (-0.3673) time: 0.8666 data: 0.0003 max mem: 29859 [03:43:16.456335] Epoch: [351] [780/850] eta: 0:01:00 lr: 0.001533 loss: 0.0140 (0.0138) loss_rec_all: 0.0503 (0.0500) loss_rec_sfr: 0.0531 (0.0691) loss_cl: -0.3677 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [03:43:33.738479] Epoch: [351] [800/850] eta: 0:00:43 lr: 0.001533 loss: 0.0125 (0.0138) loss_rec_all: 0.0490 (0.0500) loss_rec_sfr: 0.0525 (0.0690) loss_cl: -0.3673 (-0.3673) time: 0.8640 data: 0.0003 max mem: 29859 [03:43:51.002084] Epoch: [351] [820/850] eta: 0:00:26 lr: 0.001533 loss: 0.0130 (0.0138) loss_rec_all: 0.0495 (0.0500) loss_rec_sfr: 0.0771 (0.0691) loss_cl: -0.3675 (-0.3673) time: 0.8631 data: 0.0003 max mem: 29859 [03:44:08.299263] Epoch: [351] [840/850] eta: 0:00:08 lr: 0.001533 loss: 0.0126 (0.0138) loss_rec_all: 0.0490 (0.0500) loss_rec_sfr: 0.0564 (0.0691) loss_cl: -0.3675 (-0.3673) time: 0.8648 data: 0.0007 max mem: 29859 [03:44:16.065862] Epoch: [351] [849/850] eta: 0:00:00 lr: 0.001533 loss: 0.0140 (0.0138) loss_rec_all: 0.0503 (0.0500) loss_rec_sfr: 0.0613 (0.0692) loss_cl: -0.3674 (-0.3673) time: 0.8646 data: 0.0006 max mem: 29859 [03:44:16.226142] Epoch: [351] Total time: 0:12:17 (0.8680 s / it) [03:44:16.228656] Averaged stats: lr: 0.001533 loss: 0.0140 (0.0138) loss_rec_all: 0.0503 (0.0500) loss_rec_sfr: 0.0613 (0.0687) loss_cl: -0.3674 (-0.3673) [03:44:16.240674] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [03:44:20.612526] Epoch: [352] [ 0/850] eta: 1:01:55 lr: 0.001533 loss: 0.0123 (0.0123) loss_rec_all: 0.0484 (0.0484) loss_rec_sfr: 0.0900 (0.0900) loss_cl: -0.3676 (-0.3676) time: 4.3710 data: 3.0151 max mem: 29859 [03:44:37.804278] Epoch: [352] [ 20/850] eta: 0:14:12 lr: 0.001533 loss: 0.0141 (0.0148) loss_rec_all: 0.0502 (0.0509) loss_rec_sfr: 0.0769 (0.0804) loss_cl: -0.3672 (-0.3671) time: 0.8595 data: 0.0002 max mem: 29859 [03:44:55.079015] Epoch: [352] [ 40/850] eta: 0:12:47 lr: 0.001533 loss: 0.0125 (0.0140) loss_rec_all: 0.0486 (0.0503) loss_rec_sfr: 0.0481 (0.0732) loss_cl: -0.3674 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [03:45:12.325409] Epoch: [352] [ 60/850] eta: 0:12:06 lr: 0.001533 loss: 0.0137 (0.0142) loss_rec_all: 0.0501 (0.0504) loss_rec_sfr: 0.0559 (0.0712) loss_cl: -0.3675 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [03:45:29.608111] Epoch: [352] [ 80/850] eta: 0:11:37 lr: 0.001532 loss: 0.0136 (0.0144) loss_rec_all: 0.0499 (0.0506) loss_rec_sfr: 0.0711 (0.0720) loss_cl: -0.3676 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [03:45:46.884369] Epoch: [352] [100/850] eta: 0:11:13 lr: 0.001532 loss: 0.0145 (0.0145) loss_rec_all: 0.0506 (0.0507) loss_rec_sfr: 0.0605 (0.0719) loss_cl: -0.3677 (-0.3673) time: 0.8637 data: 0.0003 max mem: 29859 [03:46:04.222463] Epoch: [352] [120/850] eta: 0:10:51 lr: 0.001532 loss: 0.0139 (0.0145) loss_rec_all: 0.0504 (0.0507) loss_rec_sfr: 0.0708 (0.0722) loss_cl: -0.3677 (-0.3674) time: 0.8668 data: 0.0003 max mem: 29859 [03:46:21.493367] Epoch: [352] [140/850] eta: 0:10:30 lr: 0.001532 loss: 0.0143 (0.0146) loss_rec_all: 0.0503 (0.0508) loss_rec_sfr: 0.0730 (0.0722) loss_cl: -0.3667 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [03:46:38.819484] Epoch: [352] [160/850] eta: 0:10:11 lr: 0.001532 loss: 0.0140 (0.0146) loss_rec_all: 0.0502 (0.0508) loss_rec_sfr: 0.0562 (0.0716) loss_cl: -0.3667 (-0.3672) time: 0.8663 data: 0.0003 max mem: 29859 [03:46:56.088212] Epoch: [352] [180/850] eta: 0:09:51 lr: 0.001532 loss: 0.0130 (0.0145) loss_rec_all: 0.0491 (0.0507) loss_rec_sfr: 0.0528 (0.0703) loss_cl: -0.3668 (-0.3672) time: 0.8634 data: 0.0002 max mem: 29859 [03:47:13.392272] Epoch: [352] [200/850] eta: 0:09:32 lr: 0.001532 loss: 0.0126 (0.0144) loss_rec_all: 0.0489 (0.0506) loss_rec_sfr: 0.0679 (0.0700) loss_cl: -0.3672 (-0.3672) time: 0.8652 data: 0.0002 max mem: 29859 [03:47:30.648932] Epoch: [352] [220/850] eta: 0:09:14 lr: 0.001532 loss: 0.0117 (0.0142) loss_rec_all: 0.0481 (0.0505) loss_rec_sfr: 0.0518 (0.0695) loss_cl: -0.3673 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [03:47:47.953990] Epoch: [352] [240/850] eta: 0:08:55 lr: 0.001532 loss: 0.0131 (0.0142) loss_rec_all: 0.0492 (0.0504) loss_rec_sfr: 0.0692 (0.0693) loss_cl: -0.3672 (-0.3672) time: 0.8652 data: 0.0002 max mem: 29859 [03:48:05.196881] Epoch: [352] [260/850] eta: 0:08:37 lr: 0.001531 loss: 0.0121 (0.0141) loss_rec_all: 0.0484 (0.0503) loss_rec_sfr: 0.0523 (0.0693) loss_cl: -0.3682 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [03:48:22.555585] Epoch: [352] [280/850] eta: 0:08:19 lr: 0.001531 loss: 0.0127 (0.0140) loss_rec_all: 0.0489 (0.0502) loss_rec_sfr: 0.0522 (0.0691) loss_cl: -0.3681 (-0.3673) time: 0.8679 data: 0.0002 max mem: 29859 [03:48:39.819105] Epoch: [352] [300/850] eta: 0:08:01 lr: 0.001531 loss: 0.0132 (0.0139) loss_rec_all: 0.0496 (0.0502) loss_rec_sfr: 0.0518 (0.0688) loss_cl: -0.3678 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [03:48:57.214954] Epoch: [352] [320/850] eta: 0:07:43 lr: 0.001531 loss: 0.0145 (0.0140) loss_rec_all: 0.0504 (0.0502) loss_rec_sfr: 0.0724 (0.0691) loss_cl: -0.3670 (-0.3673) time: 0.8697 data: 0.0003 max mem: 29859 [03:49:14.481535] Epoch: [352] [340/850] eta: 0:07:26 lr: 0.001531 loss: 0.0124 (0.0139) loss_rec_all: 0.0488 (0.0502) loss_rec_sfr: 0.0517 (0.0688) loss_cl: -0.3667 (-0.3673) time: 0.8633 data: 0.0003 max mem: 29859 [03:49:31.770511] Epoch: [352] [360/850] eta: 0:07:08 lr: 0.001531 loss: 0.0137 (0.0140) loss_rec_all: 0.0498 (0.0502) loss_rec_sfr: 0.0729 (0.0691) loss_cl: -0.3673 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [03:49:49.025553] Epoch: [352] [380/850] eta: 0:06:50 lr: 0.001531 loss: 0.0136 (0.0140) loss_rec_all: 0.0499 (0.0502) loss_rec_sfr: 0.0546 (0.0692) loss_cl: -0.3681 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [03:50:06.303744] Epoch: [352] [400/850] eta: 0:06:32 lr: 0.001531 loss: 0.0125 (0.0139) loss_rec_all: 0.0488 (0.0502) loss_rec_sfr: 0.0509 (0.0689) loss_cl: -0.3677 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [03:50:23.549179] Epoch: [352] [420/850] eta: 0:06:15 lr: 0.001531 loss: 0.0136 (0.0139) loss_rec_all: 0.0496 (0.0501) loss_rec_sfr: 0.0824 (0.0695) loss_cl: -0.3672 (-0.3673) time: 0.8622 data: 0.0003 max mem: 29859 [03:50:40.836973] Epoch: [352] [440/850] eta: 0:05:57 lr: 0.001530 loss: 0.0128 (0.0139) loss_rec_all: 0.0491 (0.0501) loss_rec_sfr: 0.0584 (0.0696) loss_cl: -0.3670 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [03:50:58.082758] Epoch: [352] [460/850] eta: 0:05:39 lr: 0.001530 loss: 0.0122 (0.0138) loss_rec_all: 0.0485 (0.0501) loss_rec_sfr: 0.0543 (0.0694) loss_cl: -0.3668 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [03:51:15.377180] Epoch: [352] [480/850] eta: 0:05:22 lr: 0.001530 loss: 0.0119 (0.0138) loss_rec_all: 0.0481 (0.0500) loss_rec_sfr: 0.0495 (0.0690) loss_cl: -0.3670 (-0.3673) time: 0.8647 data: 0.0003 max mem: 29859 [03:51:32.616314] Epoch: [352] [500/850] eta: 0:05:04 lr: 0.001530 loss: 0.0119 (0.0137) loss_rec_all: 0.0482 (0.0500) loss_rec_sfr: 0.0511 (0.0688) loss_cl: -0.3673 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [03:51:49.941467] Epoch: [352] [520/850] eta: 0:04:47 lr: 0.001530 loss: 0.0122 (0.0137) loss_rec_all: 0.0483 (0.0499) loss_rec_sfr: 0.0489 (0.0685) loss_cl: -0.3675 (-0.3673) time: 0.8662 data: 0.0003 max mem: 29859 [03:52:07.199864] Epoch: [352] [540/850] eta: 0:04:29 lr: 0.001530 loss: 0.0131 (0.0137) loss_rec_all: 0.0493 (0.0499) loss_rec_sfr: 0.0662 (0.0685) loss_cl: -0.3673 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [03:52:24.472106] Epoch: [352] [560/850] eta: 0:04:12 lr: 0.001530 loss: 0.0125 (0.0137) loss_rec_all: 0.0489 (0.0499) loss_rec_sfr: 0.0537 (0.0685) loss_cl: -0.3681 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [03:52:41.739381] Epoch: [352] [580/850] eta: 0:03:54 lr: 0.001530 loss: 0.0130 (0.0136) loss_rec_all: 0.0495 (0.0499) loss_rec_sfr: 0.0554 (0.0684) loss_cl: -0.3686 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [03:52:59.031870] Epoch: [352] [600/850] eta: 0:03:37 lr: 0.001530 loss: 0.0138 (0.0137) loss_rec_all: 0.0500 (0.0499) loss_rec_sfr: 0.0734 (0.0685) loss_cl: -0.3683 (-0.3674) time: 0.8646 data: 0.0002 max mem: 29859 [03:53:16.288452] Epoch: [352] [620/850] eta: 0:03:20 lr: 0.001529 loss: 0.0156 (0.0137) loss_rec_all: 0.0518 (0.0500) loss_rec_sfr: 0.0697 (0.0687) loss_cl: -0.3682 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [03:53:33.574203] Epoch: [352] [640/850] eta: 0:03:02 lr: 0.001529 loss: 0.0124 (0.0137) loss_rec_all: 0.0489 (0.0500) loss_rec_sfr: 0.0510 (0.0686) loss_cl: -0.3669 (-0.3674) time: 0.8642 data: 0.0002 max mem: 29859 [03:53:50.815441] Epoch: [352] [660/850] eta: 0:02:45 lr: 0.001529 loss: 0.0135 (0.0138) loss_rec_all: 0.0496 (0.0500) loss_rec_sfr: 0.0726 (0.0688) loss_cl: -0.3664 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [03:54:08.118590] Epoch: [352] [680/850] eta: 0:02:27 lr: 0.001529 loss: 0.0140 (0.0138) loss_rec_all: 0.0502 (0.0500) loss_rec_sfr: 0.0552 (0.0686) loss_cl: -0.3669 (-0.3673) time: 0.8651 data: 0.0002 max mem: 29859 [03:54:25.360902] Epoch: [352] [700/850] eta: 0:02:10 lr: 0.001529 loss: 0.0128 (0.0138) loss_rec_all: 0.0492 (0.0500) loss_rec_sfr: 0.0543 (0.0687) loss_cl: -0.3669 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [03:54:42.638800] Epoch: [352] [720/850] eta: 0:01:52 lr: 0.001529 loss: 0.0127 (0.0138) loss_rec_all: 0.0491 (0.0500) loss_rec_sfr: 0.0532 (0.0686) loss_cl: -0.3672 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [03:54:59.898130] Epoch: [352] [740/850] eta: 0:01:35 lr: 0.001529 loss: 0.0129 (0.0138) loss_rec_all: 0.0494 (0.0500) loss_rec_sfr: 0.0663 (0.0687) loss_cl: -0.3677 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [03:55:17.210314] Epoch: [352] [760/850] eta: 0:01:18 lr: 0.001529 loss: 0.0119 (0.0137) loss_rec_all: 0.0482 (0.0500) loss_rec_sfr: 0.0503 (0.0686) loss_cl: -0.3681 (-0.3673) time: 0.8655 data: 0.0002 max mem: 29859 [03:55:34.469998] Epoch: [352] [780/850] eta: 0:01:00 lr: 0.001529 loss: 0.0133 (0.0137) loss_rec_all: 0.0498 (0.0500) loss_rec_sfr: 0.0851 (0.0689) loss_cl: -0.3680 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [03:55:51.744487] Epoch: [352] [800/850] eta: 0:00:43 lr: 0.001528 loss: 0.0143 (0.0138) loss_rec_all: 0.0507 (0.0500) loss_rec_sfr: 0.0575 (0.0692) loss_cl: -0.3674 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [03:56:09.003741] Epoch: [352] [820/850] eta: 0:00:26 lr: 0.001528 loss: 0.0138 (0.0138) loss_rec_all: 0.0500 (0.0500) loss_rec_sfr: 0.0567 (0.0692) loss_cl: -0.3671 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [03:56:26.280910] Epoch: [352] [840/850] eta: 0:00:08 lr: 0.001528 loss: 0.0144 (0.0138) loss_rec_all: 0.0508 (0.0501) loss_rec_sfr: 0.0701 (0.0693) loss_cl: -0.3671 (-0.3673) time: 0.8638 data: 0.0005 max mem: 29859 [03:56:34.037156] Epoch: [352] [849/850] eta: 0:00:00 lr: 0.001528 loss: 0.0144 (0.0138) loss_rec_all: 0.0508 (0.0501) loss_rec_sfr: 0.0762 (0.0695) loss_cl: -0.3670 (-0.3673) time: 0.8634 data: 0.0004 max mem: 29859 [03:56:34.170265] Epoch: [352] Total time: 0:12:17 (0.8682 s / it) [03:56:34.180046] Averaged stats: lr: 0.001528 loss: 0.0144 (0.0139) loss_rec_all: 0.0508 (0.0501) loss_rec_sfr: 0.0762 (0.0703) loss_cl: -0.3670 (-0.3673) [03:56:34.190771] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [03:56:38.594021] Epoch: [353] [ 0/850] eta: 1:02:21 lr: 0.001528 loss: 0.0154 (0.0154) loss_rec_all: 0.0516 (0.0516) loss_rec_sfr: 0.0626 (0.0626) loss_cl: -0.3666 (-0.3666) time: 4.4019 data: 3.5414 max mem: 29859 [03:56:55.810261] Epoch: [353] [ 20/850] eta: 0:14:14 lr: 0.001528 loss: 0.0144 (0.0146) loss_rec_all: 0.0506 (0.0508) loss_rec_sfr: 0.0741 (0.0772) loss_cl: -0.3671 (-0.3671) time: 0.8607 data: 0.0002 max mem: 29859 [03:57:13.070271] Epoch: [353] [ 40/850] eta: 0:12:48 lr: 0.001528 loss: 0.0141 (0.0145) loss_rec_all: 0.0503 (0.0507) loss_rec_sfr: 0.0814 (0.0766) loss_cl: -0.3675 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [03:57:30.311890] Epoch: [353] [ 60/850] eta: 0:12:06 lr: 0.001528 loss: 0.0138 (0.0145) loss_rec_all: 0.0500 (0.0507) loss_rec_sfr: 0.0686 (0.0761) loss_cl: -0.3674 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [03:57:47.570364] Epoch: [353] [ 80/850] eta: 0:11:37 lr: 0.001528 loss: 0.0155 (0.0146) loss_rec_all: 0.0518 (0.0508) loss_rec_sfr: 0.0688 (0.0764) loss_cl: -0.3675 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [03:58:04.824525] Epoch: [353] [100/850] eta: 0:11:12 lr: 0.001528 loss: 0.0147 (0.0146) loss_rec_all: 0.0507 (0.0508) loss_rec_sfr: 0.0754 (0.0773) loss_cl: -0.3673 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [03:58:22.111761] Epoch: [353] [120/850] eta: 0:10:51 lr: 0.001527 loss: 0.0135 (0.0145) loss_rec_all: 0.0500 (0.0507) loss_rec_sfr: 0.0579 (0.0758) loss_cl: -0.3674 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [03:58:39.363291] Epoch: [353] [140/850] eta: 0:10:30 lr: 0.001527 loss: 0.0131 (0.0143) loss_rec_all: 0.0495 (0.0505) loss_rec_sfr: 0.0510 (0.0737) loss_cl: -0.3672 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [03:58:56.678912] Epoch: [353] [160/850] eta: 0:10:10 lr: 0.001527 loss: 0.0125 (0.0143) loss_rec_all: 0.0488 (0.0505) loss_rec_sfr: 0.0522 (0.0729) loss_cl: -0.3671 (-0.3673) time: 0.8657 data: 0.0003 max mem: 29859 [03:59:13.931446] Epoch: [353] [180/850] eta: 0:09:51 lr: 0.001527 loss: 0.0125 (0.0142) loss_rec_all: 0.0486 (0.0504) loss_rec_sfr: 0.0578 (0.0724) loss_cl: -0.3670 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [03:59:31.224590] Epoch: [353] [200/850] eta: 0:09:32 lr: 0.001527 loss: 0.0120 (0.0141) loss_rec_all: 0.0482 (0.0503) loss_rec_sfr: 0.0487 (0.0713) loss_cl: -0.3673 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [03:59:48.471298] Epoch: [353] [220/850] eta: 0:09:13 lr: 0.001527 loss: 0.0125 (0.0140) loss_rec_all: 0.0489 (0.0502) loss_rec_sfr: 0.0509 (0.0706) loss_cl: -0.3672 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [04:00:05.778476] Epoch: [353] [240/850] eta: 0:08:55 lr: 0.001527 loss: 0.0133 (0.0140) loss_rec_all: 0.0495 (0.0502) loss_rec_sfr: 0.0708 (0.0711) loss_cl: -0.3671 (-0.3672) time: 0.8653 data: 0.0002 max mem: 29859 [04:00:23.017173] Epoch: [353] [260/850] eta: 0:08:37 lr: 0.001527 loss: 0.0128 (0.0139) loss_rec_all: 0.0491 (0.0502) loss_rec_sfr: 0.0702 (0.0712) loss_cl: -0.3675 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [04:00:40.301552] Epoch: [353] [280/850] eta: 0:08:19 lr: 0.001527 loss: 0.0122 (0.0138) loss_rec_all: 0.0485 (0.0501) loss_rec_sfr: 0.0529 (0.0705) loss_cl: -0.3673 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [04:00:57.547827] Epoch: [353] [300/850] eta: 0:08:01 lr: 0.001526 loss: 0.0133 (0.0138) loss_rec_all: 0.0496 (0.0501) loss_rec_sfr: 0.0537 (0.0703) loss_cl: -0.3674 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [04:01:14.823950] Epoch: [353] [320/850] eta: 0:07:43 lr: 0.001526 loss: 0.0113 (0.0137) loss_rec_all: 0.0477 (0.0500) loss_rec_sfr: 0.0465 (0.0694) loss_cl: -0.3675 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [04:01:32.089275] Epoch: [353] [340/850] eta: 0:07:25 lr: 0.001526 loss: 0.0133 (0.0137) loss_rec_all: 0.0495 (0.0499) loss_rec_sfr: 0.0713 (0.0698) loss_cl: -0.3673 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [04:01:49.393033] Epoch: [353] [360/850] eta: 0:07:07 lr: 0.001526 loss: 0.0119 (0.0137) loss_rec_all: 0.0481 (0.0499) loss_rec_sfr: 0.0705 (0.0697) loss_cl: -0.3673 (-0.3673) time: 0.8651 data: 0.0002 max mem: 29859 [04:02:06.673261] Epoch: [353] [380/850] eta: 0:06:50 lr: 0.001526 loss: 0.0138 (0.0137) loss_rec_all: 0.0498 (0.0499) loss_rec_sfr: 0.0700 (0.0700) loss_cl: -0.3678 (-0.3673) time: 0.8639 data: 0.0003 max mem: 29859 [04:02:23.955782] Epoch: [353] [400/850] eta: 0:06:32 lr: 0.001526 loss: 0.0130 (0.0137) loss_rec_all: 0.0492 (0.0499) loss_rec_sfr: 0.0556 (0.0698) loss_cl: -0.3680 (-0.3673) time: 0.8641 data: 0.0007 max mem: 29859 [04:02:41.222012] Epoch: [353] [420/850] eta: 0:06:14 lr: 0.001526 loss: 0.0135 (0.0137) loss_rec_all: 0.0498 (0.0499) loss_rec_sfr: 0.0714 (0.0700) loss_cl: -0.3685 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [04:02:58.526982] Epoch: [353] [440/850] eta: 0:05:57 lr: 0.001526 loss: 0.0137 (0.0137) loss_rec_all: 0.0500 (0.0500) loss_rec_sfr: 0.0858 (0.0704) loss_cl: -0.3681 (-0.3674) time: 0.8652 data: 0.0002 max mem: 29859 [04:03:15.797702] Epoch: [353] [460/850] eta: 0:05:39 lr: 0.001526 loss: 0.0124 (0.0137) loss_rec_all: 0.0488 (0.0500) loss_rec_sfr: 0.0553 (0.0702) loss_cl: -0.3673 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [04:03:33.098619] Epoch: [353] [480/850] eta: 0:05:22 lr: 0.001525 loss: 0.0143 (0.0137) loss_rec_all: 0.0505 (0.0500) loss_rec_sfr: 0.0535 (0.0703) loss_cl: -0.3669 (-0.3674) time: 0.8650 data: 0.0002 max mem: 29859 [04:03:50.369595] Epoch: [353] [500/850] eta: 0:05:04 lr: 0.001525 loss: 0.0120 (0.0137) loss_rec_all: 0.0483 (0.0500) loss_rec_sfr: 0.0494 (0.0701) loss_cl: -0.3669 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [04:04:07.748670] Epoch: [353] [520/850] eta: 0:04:47 lr: 0.001525 loss: 0.0121 (0.0137) loss_rec_all: 0.0485 (0.0499) loss_rec_sfr: 0.0513 (0.0699) loss_cl: -0.3672 (-0.3674) time: 0.8689 data: 0.0002 max mem: 29859 [04:04:25.010084] Epoch: [353] [540/850] eta: 0:04:29 lr: 0.001525 loss: 0.0129 (0.0136) loss_rec_all: 0.0491 (0.0499) loss_rec_sfr: 0.0570 (0.0698) loss_cl: -0.3673 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [04:04:42.290916] Epoch: [353] [560/850] eta: 0:04:12 lr: 0.001525 loss: 0.0131 (0.0137) loss_rec_all: 0.0492 (0.0499) loss_rec_sfr: 0.0657 (0.0698) loss_cl: -0.3669 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [04:04:59.552538] Epoch: [353] [580/850] eta: 0:03:54 lr: 0.001525 loss: 0.0131 (0.0136) loss_rec_all: 0.0495 (0.0499) loss_rec_sfr: 0.0547 (0.0698) loss_cl: -0.3669 (-0.3673) time: 0.8630 data: 0.0003 max mem: 29859 [04:05:16.913241] Epoch: [353] [600/850] eta: 0:03:37 lr: 0.001525 loss: 0.0131 (0.0137) loss_rec_all: 0.0494 (0.0499) loss_rec_sfr: 0.0623 (0.0697) loss_cl: -0.3675 (-0.3673) time: 0.8679 data: 0.0005 max mem: 29859 [04:05:34.211504] Epoch: [353] [620/850] eta: 0:03:19 lr: 0.001525 loss: 0.0127 (0.0136) loss_rec_all: 0.0491 (0.0499) loss_rec_sfr: 0.0558 (0.0695) loss_cl: -0.3677 (-0.3673) time: 0.8649 data: 0.0003 max mem: 29859 [04:05:51.519155] Epoch: [353] [640/850] eta: 0:03:02 lr: 0.001525 loss: 0.0134 (0.0136) loss_rec_all: 0.0497 (0.0499) loss_rec_sfr: 0.0691 (0.0696) loss_cl: -0.3675 (-0.3674) time: 0.8653 data: 0.0002 max mem: 29859 [04:06:08.778184] Epoch: [353] [660/850] eta: 0:02:45 lr: 0.001524 loss: 0.0119 (0.0136) loss_rec_all: 0.0483 (0.0498) loss_rec_sfr: 0.0508 (0.0694) loss_cl: -0.3672 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [04:06:26.138137] Epoch: [353] [680/850] eta: 0:02:27 lr: 0.001524 loss: 0.0142 (0.0136) loss_rec_all: 0.0501 (0.0499) loss_rec_sfr: 0.0754 (0.0696) loss_cl: -0.3673 (-0.3674) time: 0.8679 data: 0.0003 max mem: 29859 [04:06:43.380867] Epoch: [353] [700/850] eta: 0:02:10 lr: 0.001524 loss: 0.0136 (0.0136) loss_rec_all: 0.0497 (0.0499) loss_rec_sfr: 0.0720 (0.0696) loss_cl: -0.3677 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [04:07:00.678007] Epoch: [353] [720/850] eta: 0:01:52 lr: 0.001524 loss: 0.0128 (0.0136) loss_rec_all: 0.0492 (0.0499) loss_rec_sfr: 0.0516 (0.0695) loss_cl: -0.3678 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [04:07:18.032273] Epoch: [353] [740/850] eta: 0:01:35 lr: 0.001524 loss: 0.0133 (0.0136) loss_rec_all: 0.0495 (0.0499) loss_rec_sfr: 0.0496 (0.0693) loss_cl: -0.3675 (-0.3674) time: 0.8677 data: 0.0003 max mem: 29859 [04:07:35.314925] Epoch: [353] [760/850] eta: 0:01:18 lr: 0.001524 loss: 0.0137 (0.0137) loss_rec_all: 0.0498 (0.0499) loss_rec_sfr: 0.0737 (0.0694) loss_cl: -0.3676 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [04:07:52.565837] Epoch: [353] [780/850] eta: 0:01:00 lr: 0.001524 loss: 0.0135 (0.0137) loss_rec_all: 0.0495 (0.0499) loss_rec_sfr: 0.0752 (0.0695) loss_cl: -0.3672 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [04:08:09.896137] Epoch: [353] [800/850] eta: 0:00:43 lr: 0.001524 loss: 0.0130 (0.0137) loss_rec_all: 0.0492 (0.0499) loss_rec_sfr: 0.0594 (0.0695) loss_cl: -0.3666 (-0.3673) time: 0.8665 data: 0.0003 max mem: 29859 [04:08:27.132762] Epoch: [353] [820/850] eta: 0:00:26 lr: 0.001524 loss: 0.0139 (0.0137) loss_rec_all: 0.0501 (0.0499) loss_rec_sfr: 0.0570 (0.0695) loss_cl: -0.3667 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [04:08:44.449695] Epoch: [353] [840/850] eta: 0:00:08 lr: 0.001523 loss: 0.0138 (0.0137) loss_rec_all: 0.0499 (0.0499) loss_rec_sfr: 0.0689 (0.0695) loss_cl: -0.3673 (-0.3673) time: 0.8658 data: 0.0005 max mem: 29859 [04:08:52.233392] Epoch: [353] [849/850] eta: 0:00:00 lr: 0.001523 loss: 0.0138 (0.0137) loss_rec_all: 0.0499 (0.0500) loss_rec_sfr: 0.0754 (0.0696) loss_cl: -0.3674 (-0.3673) time: 0.8669 data: 0.0005 max mem: 29859 [04:08:52.389113] Epoch: [353] Total time: 0:12:18 (0.8685 s / it) [04:08:52.391536] Averaged stats: lr: 0.001523 loss: 0.0138 (0.0137) loss_rec_all: 0.0499 (0.0500) loss_rec_sfr: 0.0754 (0.0700) loss_cl: -0.3674 (-0.3673) [04:08:52.403241] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [04:08:56.772267] Epoch: [354] [ 0/850] eta: 1:01:52 lr: 0.001523 loss: 0.0205 (0.0205) loss_rec_all: 0.0567 (0.0567) loss_rec_sfr: 0.0783 (0.0783) loss_cl: -0.3674 (-0.3674) time: 4.3682 data: 3.2971 max mem: 29859 [04:09:13.979981] Epoch: [354] [ 20/850] eta: 0:14:12 lr: 0.001523 loss: 0.0120 (0.0134) loss_rec_all: 0.0484 (0.0498) loss_rec_sfr: 0.0522 (0.0643) loss_cl: -0.3679 (-0.3679) time: 0.8603 data: 0.0003 max mem: 29859 [04:09:31.268111] Epoch: [354] [ 40/850] eta: 0:12:47 lr: 0.001523 loss: 0.0142 (0.0136) loss_rec_all: 0.0505 (0.0499) loss_rec_sfr: 0.0563 (0.0677) loss_cl: -0.3677 (-0.3678) time: 0.8643 data: 0.0002 max mem: 29859 [04:09:48.510261] Epoch: [354] [ 60/850] eta: 0:12:06 lr: 0.001523 loss: 0.0133 (0.0135) loss_rec_all: 0.0498 (0.0498) loss_rec_sfr: 0.0543 (0.0668) loss_cl: -0.3678 (-0.3678) time: 0.8621 data: 0.0002 max mem: 29859 [04:10:05.795947] Epoch: [354] [ 80/850] eta: 0:11:37 lr: 0.001523 loss: 0.0130 (0.0135) loss_rec_all: 0.0493 (0.0498) loss_rec_sfr: 0.0571 (0.0684) loss_cl: -0.3675 (-0.3677) time: 0.8642 data: 0.0002 max mem: 29859 [04:10:23.045239] Epoch: [354] [100/850] eta: 0:11:13 lr: 0.001523 loss: 0.0130 (0.0134) loss_rec_all: 0.0492 (0.0497) loss_rec_sfr: 0.0521 (0.0668) loss_cl: -0.3672 (-0.3676) time: 0.8624 data: 0.0002 max mem: 29859 [04:10:40.329782] Epoch: [354] [120/850] eta: 0:10:51 lr: 0.001523 loss: 0.0123 (0.0134) loss_rec_all: 0.0487 (0.0497) loss_rec_sfr: 0.0728 (0.0677) loss_cl: -0.3675 (-0.3676) time: 0.8642 data: 0.0002 max mem: 29859 [04:10:57.585071] Epoch: [354] [140/850] eta: 0:10:30 lr: 0.001523 loss: 0.0138 (0.0135) loss_rec_all: 0.0503 (0.0497) loss_rec_sfr: 0.0680 (0.0677) loss_cl: -0.3672 (-0.3675) time: 0.8627 data: 0.0002 max mem: 29859 [04:11:14.852643] Epoch: [354] [160/850] eta: 0:10:10 lr: 0.001522 loss: 0.0116 (0.0133) loss_rec_all: 0.0479 (0.0496) loss_rec_sfr: 0.0682 (0.0675) loss_cl: -0.3672 (-0.3675) time: 0.8633 data: 0.0002 max mem: 29859 [04:11:32.104546] Epoch: [354] [180/850] eta: 0:09:51 lr: 0.001522 loss: 0.0119 (0.0132) loss_rec_all: 0.0482 (0.0495) loss_rec_sfr: 0.0492 (0.0665) loss_cl: -0.3674 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [04:11:49.438262] Epoch: [354] [200/850] eta: 0:09:32 lr: 0.001522 loss: 0.0135 (0.0133) loss_rec_all: 0.0496 (0.0495) loss_rec_sfr: 0.0552 (0.0666) loss_cl: -0.3672 (-0.3674) time: 0.8666 data: 0.0003 max mem: 29859 [04:12:06.690877] Epoch: [354] [220/850] eta: 0:09:13 lr: 0.001522 loss: 0.0132 (0.0134) loss_rec_all: 0.0495 (0.0496) loss_rec_sfr: 0.0715 (0.0668) loss_cl: -0.3674 (-0.3674) time: 0.8626 data: 0.0002 max mem: 29859 [04:12:24.006077] Epoch: [354] [240/850] eta: 0:08:55 lr: 0.001522 loss: 0.0130 (0.0134) loss_rec_all: 0.0492 (0.0497) loss_rec_sfr: 0.0724 (0.0672) loss_cl: -0.3676 (-0.3674) time: 0.8657 data: 0.0004 max mem: 29859 [04:12:41.237580] Epoch: [354] [260/850] eta: 0:08:37 lr: 0.001522 loss: 0.0129 (0.0134) loss_rec_all: 0.0493 (0.0497) loss_rec_sfr: 0.0501 (0.0669) loss_cl: -0.3678 (-0.3674) time: 0.8615 data: 0.0002 max mem: 29859 [04:12:58.512727] Epoch: [354] [280/850] eta: 0:08:19 lr: 0.001522 loss: 0.0137 (0.0135) loss_rec_all: 0.0502 (0.0498) loss_rec_sfr: 0.0542 (0.0667) loss_cl: -0.3682 (-0.3675) time: 0.8637 data: 0.0002 max mem: 29859 [04:13:15.767597] Epoch: [354] [300/850] eta: 0:08:01 lr: 0.001522 loss: 0.0134 (0.0135) loss_rec_all: 0.0498 (0.0498) loss_rec_sfr: 0.0541 (0.0667) loss_cl: -0.3679 (-0.3675) time: 0.8627 data: 0.0002 max mem: 29859 [04:13:33.045867] Epoch: [354] [320/850] eta: 0:07:43 lr: 0.001522 loss: 0.0125 (0.0136) loss_rec_all: 0.0487 (0.0498) loss_rec_sfr: 0.0734 (0.0671) loss_cl: -0.3678 (-0.3675) time: 0.8639 data: 0.0002 max mem: 29859 [04:13:50.314417] Epoch: [354] [340/850] eta: 0:07:25 lr: 0.001521 loss: 0.0126 (0.0136) loss_rec_all: 0.0490 (0.0498) loss_rec_sfr: 0.0556 (0.0673) loss_cl: -0.3674 (-0.3675) time: 0.8634 data: 0.0002 max mem: 29859 [04:14:07.605177] Epoch: [354] [360/850] eta: 0:07:07 lr: 0.001521 loss: 0.0142 (0.0136) loss_rec_all: 0.0504 (0.0499) loss_rec_sfr: 0.0740 (0.0679) loss_cl: -0.3670 (-0.3675) time: 0.8645 data: 0.0002 max mem: 29859 [04:14:24.883888] Epoch: [354] [380/850] eta: 0:06:50 lr: 0.001521 loss: 0.0132 (0.0136) loss_rec_all: 0.0496 (0.0499) loss_rec_sfr: 0.0684 (0.0683) loss_cl: -0.3666 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [04:14:42.161675] Epoch: [354] [400/850] eta: 0:06:32 lr: 0.001521 loss: 0.0133 (0.0137) loss_rec_all: 0.0495 (0.0499) loss_rec_sfr: 0.0579 (0.0683) loss_cl: -0.3667 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [04:14:59.416719] Epoch: [354] [420/850] eta: 0:06:14 lr: 0.001521 loss: 0.0137 (0.0137) loss_rec_all: 0.0500 (0.0499) loss_rec_sfr: 0.0559 (0.0684) loss_cl: -0.3668 (-0.3673) time: 0.8627 data: 0.0003 max mem: 29859 [04:15:16.805148] Epoch: [354] [440/850] eta: 0:05:57 lr: 0.001521 loss: 0.0133 (0.0137) loss_rec_all: 0.0496 (0.0500) loss_rec_sfr: 0.0586 (0.0683) loss_cl: -0.3671 (-0.3673) time: 0.8694 data: 0.0006 max mem: 29859 [04:15:34.048712] Epoch: [354] [460/850] eta: 0:05:39 lr: 0.001521 loss: 0.0136 (0.0137) loss_rec_all: 0.0500 (0.0500) loss_rec_sfr: 0.0547 (0.0683) loss_cl: -0.3673 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [04:15:51.340762] Epoch: [354] [480/850] eta: 0:05:22 lr: 0.001521 loss: 0.0123 (0.0137) loss_rec_all: 0.0487 (0.0500) loss_rec_sfr: 0.0554 (0.0683) loss_cl: -0.3673 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [04:16:08.591154] Epoch: [354] [500/850] eta: 0:05:04 lr: 0.001521 loss: 0.0140 (0.0137) loss_rec_all: 0.0502 (0.0500) loss_rec_sfr: 0.0676 (0.0685) loss_cl: -0.3669 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [04:16:25.893055] Epoch: [354] [520/850] eta: 0:04:47 lr: 0.001520 loss: 0.0134 (0.0138) loss_rec_all: 0.0496 (0.0500) loss_rec_sfr: 0.0685 (0.0686) loss_cl: -0.3668 (-0.3673) time: 0.8651 data: 0.0002 max mem: 29859 [04:16:43.097018] Epoch: [354] [540/850] eta: 0:04:29 lr: 0.001520 loss: 0.0151 (0.0139) loss_rec_all: 0.0513 (0.0501) loss_rec_sfr: 0.0552 (0.0685) loss_cl: -0.3674 (-0.3673) time: 0.8602 data: 0.0002 max mem: 29859 [04:17:00.375574] Epoch: [354] [560/850] eta: 0:04:12 lr: 0.001520 loss: 0.0151 (0.0139) loss_rec_all: 0.0514 (0.0502) loss_rec_sfr: 0.0538 (0.0685) loss_cl: -0.3677 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [04:17:17.602025] Epoch: [354] [580/850] eta: 0:03:54 lr: 0.001520 loss: 0.0149 (0.0139) loss_rec_all: 0.0510 (0.0502) loss_rec_sfr: 0.0792 (0.0689) loss_cl: -0.3676 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [04:17:34.867816] Epoch: [354] [600/850] eta: 0:03:37 lr: 0.001520 loss: 0.0134 (0.0139) loss_rec_all: 0.0498 (0.0502) loss_rec_sfr: 0.0576 (0.0689) loss_cl: -0.3679 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [04:17:52.121379] Epoch: [354] [620/850] eta: 0:03:19 lr: 0.001520 loss: 0.0132 (0.0139) loss_rec_all: 0.0493 (0.0502) loss_rec_sfr: 0.0723 (0.0691) loss_cl: -0.3680 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [04:18:09.445237] Epoch: [354] [640/850] eta: 0:03:02 lr: 0.001520 loss: 0.0126 (0.0139) loss_rec_all: 0.0490 (0.0502) loss_rec_sfr: 0.0553 (0.0691) loss_cl: -0.3676 (-0.3674) time: 0.8661 data: 0.0003 max mem: 29859 [04:18:26.694620] Epoch: [354] [660/850] eta: 0:02:45 lr: 0.001520 loss: 0.0134 (0.0139) loss_rec_all: 0.0495 (0.0502) loss_rec_sfr: 0.0694 (0.0692) loss_cl: -0.3673 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [04:18:43.995993] Epoch: [354] [680/850] eta: 0:02:27 lr: 0.001520 loss: 0.0139 (0.0139) loss_rec_all: 0.0498 (0.0502) loss_rec_sfr: 0.0702 (0.0693) loss_cl: -0.3674 (-0.3674) time: 0.8650 data: 0.0009 max mem: 29859 [04:19:01.283633] Epoch: [354] [700/850] eta: 0:02:10 lr: 0.001519 loss: 0.0121 (0.0139) loss_rec_all: 0.0485 (0.0501) loss_rec_sfr: 0.0536 (0.0694) loss_cl: -0.3669 (-0.3674) time: 0.8643 data: 0.0008 max mem: 29859 [04:19:18.578800] Epoch: [354] [720/850] eta: 0:01:52 lr: 0.001519 loss: 0.0120 (0.0139) loss_rec_all: 0.0484 (0.0501) loss_rec_sfr: 0.0518 (0.0692) loss_cl: -0.3671 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [04:19:35.830011] Epoch: [354] [740/850] eta: 0:01:35 lr: 0.001519 loss: 0.0122 (0.0138) loss_rec_all: 0.0486 (0.0501) loss_rec_sfr: 0.0516 (0.0690) loss_cl: -0.3669 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [04:19:53.100042] Epoch: [354] [760/850] eta: 0:01:18 lr: 0.001519 loss: 0.0139 (0.0138) loss_rec_all: 0.0499 (0.0501) loss_rec_sfr: 0.0729 (0.0691) loss_cl: -0.3673 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [04:20:10.343270] Epoch: [354] [780/850] eta: 0:01:00 lr: 0.001519 loss: 0.0124 (0.0138) loss_rec_all: 0.0488 (0.0501) loss_rec_sfr: 0.0565 (0.0691) loss_cl: -0.3679 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [04:20:27.605982] Epoch: [354] [800/850] eta: 0:00:43 lr: 0.001519 loss: 0.0122 (0.0138) loss_rec_all: 0.0485 (0.0500) loss_rec_sfr: 0.0472 (0.0688) loss_cl: -0.3680 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [04:20:44.856791] Epoch: [354] [820/850] eta: 0:00:26 lr: 0.001519 loss: 0.0136 (0.0138) loss_rec_all: 0.0496 (0.0500) loss_rec_sfr: 0.0702 (0.0690) loss_cl: -0.3676 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [04:21:02.134891] Epoch: [354] [840/850] eta: 0:00:08 lr: 0.001519 loss: 0.0128 (0.0137) loss_rec_all: 0.0491 (0.0500) loss_rec_sfr: 0.0685 (0.0690) loss_cl: -0.3674 (-0.3674) time: 0.8638 data: 0.0005 max mem: 29859 [04:21:09.898911] Epoch: [354] [849/850] eta: 0:00:00 lr: 0.001519 loss: 0.0129 (0.0137) loss_rec_all: 0.0492 (0.0500) loss_rec_sfr: 0.0589 (0.0690) loss_cl: -0.3671 (-0.3674) time: 0.8636 data: 0.0005 max mem: 29859 [04:21:10.067529] Epoch: [354] Total time: 0:12:17 (0.8678 s / it) [04:21:10.069424] Averaged stats: lr: 0.001519 loss: 0.0129 (0.0137) loss_rec_all: 0.0492 (0.0500) loss_rec_sfr: 0.0589 (0.0683) loss_cl: -0.3671 (-0.3673) [04:21:10.075831] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [04:21:15.091191] Epoch: [355] [ 0/850] eta: 1:11:02 lr: 0.001519 loss: 0.0171 (0.0171) loss_rec_all: 0.0532 (0.0532) loss_rec_sfr: 0.0733 (0.0733) loss_cl: -0.3655 (-0.3655) time: 5.0143 data: 4.1583 max mem: 29859 [04:21:32.318957] Epoch: [355] [ 20/850] eta: 0:14:39 lr: 0.001518 loss: 0.0125 (0.0142) loss_rec_all: 0.0488 (0.0504) loss_rec_sfr: 0.0546 (0.0690) loss_cl: -0.3668 (-0.3668) time: 0.8613 data: 0.0003 max mem: 29859 [04:21:49.551021] Epoch: [355] [ 40/850] eta: 0:12:59 lr: 0.001518 loss: 0.0124 (0.0137) loss_rec_all: 0.0487 (0.0499) loss_rec_sfr: 0.0506 (0.0678) loss_cl: -0.3667 (-0.3668) time: 0.8616 data: 0.0002 max mem: 29859 [04:22:06.777168] Epoch: [355] [ 60/850] eta: 0:12:14 lr: 0.001518 loss: 0.0131 (0.0138) loss_rec_all: 0.0494 (0.0500) loss_rec_sfr: 0.0529 (0.0667) loss_cl: -0.3669 (-0.3668) time: 0.8613 data: 0.0002 max mem: 29859 [04:22:24.062356] Epoch: [355] [ 80/850] eta: 0:11:43 lr: 0.001518 loss: 0.0136 (0.0139) loss_rec_all: 0.0497 (0.0501) loss_rec_sfr: 0.0692 (0.0681) loss_cl: -0.3679 (-0.3670) time: 0.8642 data: 0.0002 max mem: 29859 [04:22:41.308264] Epoch: [355] [100/850] eta: 0:11:17 lr: 0.001518 loss: 0.0133 (0.0137) loss_rec_all: 0.0494 (0.0499) loss_rec_sfr: 0.0810 (0.0700) loss_cl: -0.3681 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [04:22:58.586470] Epoch: [355] [120/850] eta: 0:10:54 lr: 0.001518 loss: 0.0118 (0.0136) loss_rec_all: 0.0482 (0.0499) loss_rec_sfr: 0.0499 (0.0687) loss_cl: -0.3681 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [04:23:15.811007] Epoch: [355] [140/850] eta: 0:10:33 lr: 0.001518 loss: 0.0136 (0.0136) loss_rec_all: 0.0500 (0.0499) loss_rec_sfr: 0.0804 (0.0704) loss_cl: -0.3684 (-0.3675) time: 0.8612 data: 0.0002 max mem: 29859 [04:23:33.083233] Epoch: [355] [160/850] eta: 0:10:12 lr: 0.001518 loss: 0.0145 (0.0138) loss_rec_all: 0.0510 (0.0500) loss_rec_sfr: 0.0695 (0.0708) loss_cl: -0.3680 (-0.3675) time: 0.8636 data: 0.0002 max mem: 29859 [04:23:50.296369] Epoch: [355] [180/850] eta: 0:09:53 lr: 0.001518 loss: 0.0137 (0.0138) loss_rec_all: 0.0498 (0.0500) loss_rec_sfr: 0.0692 (0.0710) loss_cl: -0.3675 (-0.3675) time: 0.8606 data: 0.0002 max mem: 29859 [04:24:07.577227] Epoch: [355] [200/850] eta: 0:09:33 lr: 0.001517 loss: 0.0127 (0.0137) loss_rec_all: 0.0488 (0.0500) loss_rec_sfr: 0.0560 (0.0706) loss_cl: -0.3667 (-0.3675) time: 0.8640 data: 0.0002 max mem: 29859 [04:24:24.854511] Epoch: [355] [220/850] eta: 0:09:15 lr: 0.001517 loss: 0.0130 (0.0137) loss_rec_all: 0.0493 (0.0499) loss_rec_sfr: 0.0567 (0.0701) loss_cl: -0.3667 (-0.3674) time: 0.8638 data: 0.0003 max mem: 29859 [04:24:42.136552] Epoch: [355] [240/850] eta: 0:08:56 lr: 0.001517 loss: 0.0143 (0.0137) loss_rec_all: 0.0505 (0.0500) loss_rec_sfr: 0.0707 (0.0708) loss_cl: -0.3672 (-0.3674) time: 0.8641 data: 0.0007 max mem: 29859 [04:24:59.430289] Epoch: [355] [260/850] eta: 0:08:38 lr: 0.001517 loss: 0.0131 (0.0138) loss_rec_all: 0.0494 (0.0500) loss_rec_sfr: 0.0723 (0.0713) loss_cl: -0.3675 (-0.3674) time: 0.8646 data: 0.0002 max mem: 29859 [04:25:16.717464] Epoch: [355] [280/850] eta: 0:08:20 lr: 0.001517 loss: 0.0126 (0.0137) loss_rec_all: 0.0490 (0.0500) loss_rec_sfr: 0.0719 (0.0715) loss_cl: -0.3675 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [04:25:33.964307] Epoch: [355] [300/850] eta: 0:08:02 lr: 0.001517 loss: 0.0130 (0.0137) loss_rec_all: 0.0494 (0.0500) loss_rec_sfr: 0.0528 (0.0711) loss_cl: -0.3678 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [04:25:51.249185] Epoch: [355] [320/850] eta: 0:07:44 lr: 0.001517 loss: 0.0133 (0.0137) loss_rec_all: 0.0494 (0.0500) loss_rec_sfr: 0.0818 (0.0717) loss_cl: -0.3676 (-0.3674) time: 0.8642 data: 0.0002 max mem: 29859 [04:26:08.497777] Epoch: [355] [340/850] eta: 0:07:26 lr: 0.001517 loss: 0.0131 (0.0137) loss_rec_all: 0.0491 (0.0499) loss_rec_sfr: 0.0669 (0.0715) loss_cl: -0.3668 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [04:26:25.790810] Epoch: [355] [360/850] eta: 0:07:08 lr: 0.001517 loss: 0.0139 (0.0137) loss_rec_all: 0.0502 (0.0500) loss_rec_sfr: 0.0721 (0.0715) loss_cl: -0.3674 (-0.3674) time: 0.8646 data: 0.0002 max mem: 29859 [04:26:43.025665] Epoch: [355] [380/850] eta: 0:06:50 lr: 0.001516 loss: 0.0128 (0.0137) loss_rec_all: 0.0492 (0.0500) loss_rec_sfr: 0.0502 (0.0711) loss_cl: -0.3672 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [04:27:00.286056] Epoch: [355] [400/850] eta: 0:06:32 lr: 0.001516 loss: 0.0127 (0.0137) loss_rec_all: 0.0488 (0.0500) loss_rec_sfr: 0.0540 (0.0709) loss_cl: -0.3673 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [04:27:17.511890] Epoch: [355] [420/850] eta: 0:06:15 lr: 0.001516 loss: 0.0125 (0.0137) loss_rec_all: 0.0490 (0.0499) loss_rec_sfr: 0.0535 (0.0709) loss_cl: -0.3676 (-0.3674) time: 0.8612 data: 0.0002 max mem: 29859 [04:27:34.829453] Epoch: [355] [440/850] eta: 0:05:57 lr: 0.001516 loss: 0.0136 (0.0137) loss_rec_all: 0.0499 (0.0499) loss_rec_sfr: 0.0710 (0.0711) loss_cl: -0.3681 (-0.3674) time: 0.8658 data: 0.0003 max mem: 29859 [04:27:52.120945] Epoch: [355] [460/850] eta: 0:05:40 lr: 0.001516 loss: 0.0132 (0.0137) loss_rec_all: 0.0496 (0.0500) loss_rec_sfr: 0.0737 (0.0712) loss_cl: -0.3681 (-0.3674) time: 0.8645 data: 0.0003 max mem: 29859 [04:28:09.424219] Epoch: [355] [480/850] eta: 0:05:22 lr: 0.001516 loss: 0.0129 (0.0137) loss_rec_all: 0.0492 (0.0499) loss_rec_sfr: 0.0718 (0.0714) loss_cl: -0.3680 (-0.3674) time: 0.8651 data: 0.0005 max mem: 29859 [04:28:26.711232] Epoch: [355] [500/850] eta: 0:05:05 lr: 0.001516 loss: 0.0126 (0.0137) loss_rec_all: 0.0489 (0.0499) loss_rec_sfr: 0.0494 (0.0710) loss_cl: -0.3677 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [04:28:44.014254] Epoch: [355] [520/850] eta: 0:04:47 lr: 0.001516 loss: 0.0133 (0.0137) loss_rec_all: 0.0496 (0.0499) loss_rec_sfr: 0.0534 (0.0708) loss_cl: -0.3671 (-0.3674) time: 0.8651 data: 0.0002 max mem: 29859 [04:29:01.256233] Epoch: [355] [540/850] eta: 0:04:29 lr: 0.001516 loss: 0.0121 (0.0137) loss_rec_all: 0.0484 (0.0499) loss_rec_sfr: 0.0515 (0.0705) loss_cl: -0.3670 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [04:29:18.553307] Epoch: [355] [560/850] eta: 0:04:12 lr: 0.001515 loss: 0.0129 (0.0136) loss_rec_all: 0.0488 (0.0499) loss_rec_sfr: 0.0610 (0.0705) loss_cl: -0.3665 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [04:29:35.793761] Epoch: [355] [580/850] eta: 0:03:55 lr: 0.001515 loss: 0.0142 (0.0137) loss_rec_all: 0.0501 (0.0499) loss_rec_sfr: 0.0720 (0.0705) loss_cl: -0.3668 (-0.3674) time: 0.8620 data: 0.0003 max mem: 29859 [04:29:53.105683] Epoch: [355] [600/850] eta: 0:03:37 lr: 0.001515 loss: 0.0133 (0.0137) loss_rec_all: 0.0493 (0.0499) loss_rec_sfr: 0.0826 (0.0707) loss_cl: -0.3677 (-0.3674) time: 0.8656 data: 0.0002 max mem: 29859 [04:30:10.364920] Epoch: [355] [620/850] eta: 0:03:20 lr: 0.001515 loss: 0.0135 (0.0137) loss_rec_all: 0.0498 (0.0499) loss_rec_sfr: 0.0651 (0.0706) loss_cl: -0.3679 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [04:30:27.669331] Epoch: [355] [640/850] eta: 0:03:02 lr: 0.001515 loss: 0.0139 (0.0137) loss_rec_all: 0.0503 (0.0500) loss_rec_sfr: 0.0569 (0.0707) loss_cl: -0.3677 (-0.3674) time: 0.8652 data: 0.0002 max mem: 29859 [04:30:44.916002] Epoch: [355] [660/850] eta: 0:02:45 lr: 0.001515 loss: 0.0163 (0.0138) loss_rec_all: 0.0523 (0.0500) loss_rec_sfr: 0.0811 (0.0710) loss_cl: -0.3676 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [04:31:02.223355] Epoch: [355] [680/850] eta: 0:02:27 lr: 0.001515 loss: 0.0144 (0.0138) loss_rec_all: 0.0507 (0.0501) loss_rec_sfr: 0.0520 (0.0710) loss_cl: -0.3669 (-0.3674) time: 0.8653 data: 0.0003 max mem: 29859 [04:31:19.514302] Epoch: [355] [700/850] eta: 0:02:10 lr: 0.001515 loss: 0.0159 (0.0139) loss_rec_all: 0.0518 (0.0501) loss_rec_sfr: 0.0748 (0.0713) loss_cl: -0.3669 (-0.3674) time: 0.8645 data: 0.0003 max mem: 29859 [04:31:36.800568] Epoch: [355] [720/850] eta: 0:01:52 lr: 0.001515 loss: 0.0142 (0.0139) loss_rec_all: 0.0506 (0.0501) loss_rec_sfr: 0.0538 (0.0713) loss_cl: -0.3671 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [04:31:54.043694] Epoch: [355] [740/850] eta: 0:01:35 lr: 0.001514 loss: 0.0135 (0.0139) loss_rec_all: 0.0498 (0.0501) loss_rec_sfr: 0.0728 (0.0714) loss_cl: -0.3668 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [04:32:11.330507] Epoch: [355] [760/850] eta: 0:01:18 lr: 0.001514 loss: 0.0139 (0.0139) loss_rec_all: 0.0502 (0.0501) loss_rec_sfr: 0.0566 (0.0713) loss_cl: -0.3670 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [04:32:28.575755] Epoch: [355] [780/850] eta: 0:01:00 lr: 0.001514 loss: 0.0127 (0.0139) loss_rec_all: 0.0491 (0.0501) loss_rec_sfr: 0.0527 (0.0713) loss_cl: -0.3675 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [04:32:45.869583] Epoch: [355] [800/850] eta: 0:00:43 lr: 0.001514 loss: 0.0127 (0.0139) loss_rec_all: 0.0490 (0.0501) loss_rec_sfr: 0.0537 (0.0712) loss_cl: -0.3682 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [04:33:03.106141] Epoch: [355] [820/850] eta: 0:00:26 lr: 0.001514 loss: 0.0128 (0.0139) loss_rec_all: 0.0491 (0.0501) loss_rec_sfr: 0.0557 (0.0712) loss_cl: -0.3680 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [04:33:20.397390] Epoch: [355] [840/850] eta: 0:00:08 lr: 0.001514 loss: 0.0140 (0.0139) loss_rec_all: 0.0501 (0.0501) loss_rec_sfr: 0.0778 (0.0714) loss_cl: -0.3673 (-0.3674) time: 0.8645 data: 0.0005 max mem: 29859 [04:33:28.154402] Epoch: [355] [849/850] eta: 0:00:00 lr: 0.001514 loss: 0.0142 (0.0139) loss_rec_all: 0.0504 (0.0501) loss_rec_sfr: 0.0764 (0.0716) loss_cl: -0.3672 (-0.3673) time: 0.8644 data: 0.0005 max mem: 29859 [04:33:28.283228] Epoch: [355] Total time: 0:12:18 (0.8685 s / it) [04:33:28.286290] Averaged stats: lr: 0.001514 loss: 0.0142 (0.0139) loss_rec_all: 0.0504 (0.0501) loss_rec_sfr: 0.0764 (0.0710) loss_cl: -0.3672 (-0.3673) [04:33:28.298046] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [04:33:32.223784] Epoch: [356] [ 0/850] eta: 0:55:36 lr: 0.001514 loss: 0.0095 (0.0095) loss_rec_all: 0.0459 (0.0459) loss_rec_sfr: 0.0461 (0.0461) loss_cl: -0.3674 (-0.3674) time: 3.9250 data: 3.0719 max mem: 29859 [04:33:49.416539] Epoch: [356] [ 20/850] eta: 0:13:54 lr: 0.001514 loss: 0.0126 (0.0127) loss_rec_all: 0.0489 (0.0490) loss_rec_sfr: 0.0682 (0.0705) loss_cl: -0.3669 (-0.3670) time: 0.8596 data: 0.0001 max mem: 29859 [04:34:06.712780] Epoch: [356] [ 40/850] eta: 0:12:38 lr: 0.001514 loss: 0.0131 (0.0129) loss_rec_all: 0.0494 (0.0492) loss_rec_sfr: 0.0528 (0.0669) loss_cl: -0.3672 (-0.3671) time: 0.8648 data: 0.0002 max mem: 29859 [04:34:23.952518] Epoch: [356] [ 60/850] eta: 0:12:00 lr: 0.001513 loss: 0.0121 (0.0128) loss_rec_all: 0.0485 (0.0491) loss_rec_sfr: 0.0683 (0.0672) loss_cl: -0.3673 (-0.3671) time: 0.8619 data: 0.0002 max mem: 29859 [04:34:41.260247] Epoch: [356] [ 80/850] eta: 0:11:33 lr: 0.001513 loss: 0.0109 (0.0125) loss_rec_all: 0.0473 (0.0488) loss_rec_sfr: 0.0487 (0.0657) loss_cl: -0.3677 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [04:34:58.532968] Epoch: [356] [100/850] eta: 0:11:10 lr: 0.001513 loss: 0.0117 (0.0126) loss_rec_all: 0.0481 (0.0489) loss_rec_sfr: 0.0512 (0.0657) loss_cl: -0.3678 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [04:35:15.819384] Epoch: [356] [120/850] eta: 0:10:48 lr: 0.001513 loss: 0.0129 (0.0128) loss_rec_all: 0.0492 (0.0491) loss_rec_sfr: 0.0650 (0.0679) loss_cl: -0.3680 (-0.3675) time: 0.8643 data: 0.0002 max mem: 29859 [04:35:33.095350] Epoch: [356] [140/850] eta: 0:10:28 lr: 0.001513 loss: 0.0127 (0.0129) loss_rec_all: 0.0491 (0.0492) loss_rec_sfr: 0.0567 (0.0684) loss_cl: -0.3675 (-0.3675) time: 0.8637 data: 0.0002 max mem: 29859 [04:35:50.374727] Epoch: [356] [160/850] eta: 0:10:08 lr: 0.001513 loss: 0.0127 (0.0130) loss_rec_all: 0.0489 (0.0493) loss_rec_sfr: 0.0689 (0.0687) loss_cl: -0.3678 (-0.3675) time: 0.8639 data: 0.0002 max mem: 29859 [04:36:07.614070] Epoch: [356] [180/850] eta: 0:09:49 lr: 0.001513 loss: 0.0116 (0.0129) loss_rec_all: 0.0479 (0.0492) loss_rec_sfr: 0.0491 (0.0678) loss_cl: -0.3670 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [04:36:24.909962] Epoch: [356] [200/850] eta: 0:09:31 lr: 0.001513 loss: 0.0125 (0.0129) loss_rec_all: 0.0486 (0.0492) loss_rec_sfr: 0.0552 (0.0674) loss_cl: -0.3668 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [04:36:42.132360] Epoch: [356] [220/850] eta: 0:09:12 lr: 0.001513 loss: 0.0134 (0.0130) loss_rec_all: 0.0498 (0.0493) loss_rec_sfr: 0.0700 (0.0678) loss_cl: -0.3666 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [04:36:59.402131] Epoch: [356] [240/850] eta: 0:08:54 lr: 0.001512 loss: 0.0132 (0.0131) loss_rec_all: 0.0495 (0.0493) loss_rec_sfr: 0.0504 (0.0674) loss_cl: -0.3666 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [04:37:16.631767] Epoch: [356] [260/850] eta: 0:08:36 lr: 0.001512 loss: 0.0134 (0.0132) loss_rec_all: 0.0495 (0.0494) loss_rec_sfr: 0.0715 (0.0680) loss_cl: -0.3669 (-0.3672) time: 0.8614 data: 0.0002 max mem: 29859 [04:37:33.949408] Epoch: [356] [280/850] eta: 0:08:18 lr: 0.001512 loss: 0.0130 (0.0132) loss_rec_all: 0.0491 (0.0495) loss_rec_sfr: 0.0574 (0.0682) loss_cl: -0.3674 (-0.3672) time: 0.8658 data: 0.0002 max mem: 29859 [04:37:51.201975] Epoch: [356] [300/850] eta: 0:08:00 lr: 0.001512 loss: 0.0130 (0.0132) loss_rec_all: 0.0494 (0.0495) loss_rec_sfr: 0.0702 (0.0683) loss_cl: -0.3680 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [04:38:08.477928] Epoch: [356] [320/850] eta: 0:07:42 lr: 0.001512 loss: 0.0125 (0.0132) loss_rec_all: 0.0487 (0.0495) loss_rec_sfr: 0.0676 (0.0686) loss_cl: -0.3683 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [04:38:25.744741] Epoch: [356] [340/850] eta: 0:07:24 lr: 0.001512 loss: 0.0135 (0.0132) loss_rec_all: 0.0496 (0.0495) loss_rec_sfr: 0.0690 (0.0688) loss_cl: -0.3682 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [04:38:43.018354] Epoch: [356] [360/850] eta: 0:07:07 lr: 0.001512 loss: 0.0113 (0.0132) loss_rec_all: 0.0478 (0.0495) loss_rec_sfr: 0.0498 (0.0687) loss_cl: -0.3680 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [04:39:00.258638] Epoch: [356] [380/850] eta: 0:06:49 lr: 0.001512 loss: 0.0126 (0.0132) loss_rec_all: 0.0487 (0.0495) loss_rec_sfr: 0.0701 (0.0688) loss_cl: -0.3669 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [04:39:17.543525] Epoch: [356] [400/850] eta: 0:06:31 lr: 0.001512 loss: 0.0127 (0.0132) loss_rec_all: 0.0489 (0.0495) loss_rec_sfr: 0.0812 (0.0693) loss_cl: -0.3672 (-0.3674) time: 0.8642 data: 0.0002 max mem: 29859 [04:39:34.780527] Epoch: [356] [420/850] eta: 0:06:14 lr: 0.001511 loss: 0.0157 (0.0134) loss_rec_all: 0.0520 (0.0496) loss_rec_sfr: 0.0854 (0.0697) loss_cl: -0.3672 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [04:39:52.075353] Epoch: [356] [440/850] eta: 0:05:56 lr: 0.001511 loss: 0.0150 (0.0135) loss_rec_all: 0.0513 (0.0498) loss_rec_sfr: 0.0545 (0.0698) loss_cl: -0.3675 (-0.3674) time: 0.8647 data: 0.0002 max mem: 29859 [04:40:09.304211] Epoch: [356] [460/850] eta: 0:05:39 lr: 0.001511 loss: 0.0148 (0.0136) loss_rec_all: 0.0510 (0.0499) loss_rec_sfr: 0.0589 (0.0699) loss_cl: -0.3676 (-0.3674) time: 0.8614 data: 0.0002 max mem: 29859 [04:40:26.604797] Epoch: [356] [480/850] eta: 0:05:21 lr: 0.001511 loss: 0.0141 (0.0137) loss_rec_all: 0.0505 (0.0499) loss_rec_sfr: 0.0524 (0.0699) loss_cl: -0.3673 (-0.3674) time: 0.8650 data: 0.0002 max mem: 29859 [04:40:43.851059] Epoch: [356] [500/850] eta: 0:05:04 lr: 0.001511 loss: 0.0137 (0.0137) loss_rec_all: 0.0499 (0.0499) loss_rec_sfr: 0.0542 (0.0698) loss_cl: -0.3666 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [04:41:01.132409] Epoch: [356] [520/850] eta: 0:04:46 lr: 0.001511 loss: 0.0131 (0.0136) loss_rec_all: 0.0493 (0.0499) loss_rec_sfr: 0.0750 (0.0699) loss_cl: -0.3669 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [04:41:18.384639] Epoch: [356] [540/850] eta: 0:04:29 lr: 0.001511 loss: 0.0127 (0.0136) loss_rec_all: 0.0490 (0.0499) loss_rec_sfr: 0.0520 (0.0695) loss_cl: -0.3670 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [04:41:35.681592] Epoch: [356] [560/850] eta: 0:04:11 lr: 0.001511 loss: 0.0125 (0.0136) loss_rec_all: 0.0489 (0.0499) loss_rec_sfr: 0.0526 (0.0693) loss_cl: -0.3670 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [04:41:52.926294] Epoch: [356] [580/850] eta: 0:03:54 lr: 0.001511 loss: 0.0131 (0.0136) loss_rec_all: 0.0495 (0.0499) loss_rec_sfr: 0.0712 (0.0693) loss_cl: -0.3677 (-0.3673) time: 0.8622 data: 0.0001 max mem: 29859 [04:42:10.209618] Epoch: [356] [600/850] eta: 0:03:37 lr: 0.001510 loss: 0.0124 (0.0136) loss_rec_all: 0.0488 (0.0498) loss_rec_sfr: 0.0482 (0.0692) loss_cl: -0.3677 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [04:42:27.458503] Epoch: [356] [620/850] eta: 0:03:19 lr: 0.001510 loss: 0.0127 (0.0136) loss_rec_all: 0.0489 (0.0498) loss_rec_sfr: 0.0569 (0.0692) loss_cl: -0.3681 (-0.3674) time: 0.8624 data: 0.0001 max mem: 29859 [04:42:44.741383] Epoch: [356] [640/850] eta: 0:03:02 lr: 0.001510 loss: 0.0125 (0.0136) loss_rec_all: 0.0486 (0.0498) loss_rec_sfr: 0.0720 (0.0692) loss_cl: -0.3681 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [04:43:01.988856] Epoch: [356] [660/850] eta: 0:02:44 lr: 0.001510 loss: 0.0120 (0.0135) loss_rec_all: 0.0484 (0.0498) loss_rec_sfr: 0.0503 (0.0688) loss_cl: -0.3677 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [04:43:19.269889] Epoch: [356] [680/850] eta: 0:02:27 lr: 0.001510 loss: 0.0126 (0.0136) loss_rec_all: 0.0488 (0.0498) loss_rec_sfr: 0.0549 (0.0687) loss_cl: -0.3667 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [04:43:36.526462] Epoch: [356] [700/850] eta: 0:02:10 lr: 0.001510 loss: 0.0140 (0.0136) loss_rec_all: 0.0501 (0.0498) loss_rec_sfr: 0.0551 (0.0686) loss_cl: -0.3670 (-0.3674) time: 0.8628 data: 0.0001 max mem: 29859 [04:43:53.826473] Epoch: [356] [720/850] eta: 0:01:52 lr: 0.001510 loss: 0.0158 (0.0137) loss_rec_all: 0.0519 (0.0499) loss_rec_sfr: 0.0767 (0.0689) loss_cl: -0.3670 (-0.3673) time: 0.8650 data: 0.0002 max mem: 29859 [04:44:11.066243] Epoch: [356] [740/850] eta: 0:01:35 lr: 0.001510 loss: 0.0128 (0.0137) loss_rec_all: 0.0491 (0.0499) loss_rec_sfr: 0.0518 (0.0687) loss_cl: -0.3674 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [04:44:28.397560] Epoch: [356] [760/850] eta: 0:01:18 lr: 0.001509 loss: 0.0134 (0.0137) loss_rec_all: 0.0498 (0.0499) loss_rec_sfr: 0.0712 (0.0687) loss_cl: -0.3676 (-0.3674) time: 0.8665 data: 0.0002 max mem: 29859 [04:44:45.617863] Epoch: [356] [780/850] eta: 0:01:00 lr: 0.001509 loss: 0.0124 (0.0137) loss_rec_all: 0.0488 (0.0499) loss_rec_sfr: 0.0538 (0.0687) loss_cl: -0.3675 (-0.3674) time: 0.8610 data: 0.0002 max mem: 29859 [04:45:02.884637] Epoch: [356] [800/850] eta: 0:00:43 lr: 0.001509 loss: 0.0127 (0.0137) loss_rec_all: 0.0491 (0.0499) loss_rec_sfr: 0.0531 (0.0687) loss_cl: -0.3677 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [04:45:20.093597] Epoch: [356] [820/850] eta: 0:00:26 lr: 0.001509 loss: 0.0138 (0.0137) loss_rec_all: 0.0500 (0.0500) loss_rec_sfr: 0.0760 (0.0688) loss_cl: -0.3676 (-0.3674) time: 0.8604 data: 0.0002 max mem: 29859 [04:45:37.363732] Epoch: [356] [840/850] eta: 0:00:08 lr: 0.001509 loss: 0.0129 (0.0137) loss_rec_all: 0.0490 (0.0499) loss_rec_sfr: 0.0527 (0.0688) loss_cl: -0.3676 (-0.3674) time: 0.8634 data: 0.0005 max mem: 29859 [04:45:45.112580] Epoch: [356] [849/850] eta: 0:00:00 lr: 0.001509 loss: 0.0130 (0.0137) loss_rec_all: 0.0491 (0.0499) loss_rec_sfr: 0.0687 (0.0688) loss_cl: -0.3671 (-0.3674) time: 0.8634 data: 0.0005 max mem: 29859 [04:45:45.251668] Epoch: [356] Total time: 0:12:16 (0.8670 s / it) [04:45:45.252964] Averaged stats: lr: 0.001509 loss: 0.0130 (0.0137) loss_rec_all: 0.0491 (0.0500) loss_rec_sfr: 0.0687 (0.0697) loss_cl: -0.3671 (-0.3673) [04:45:45.259655] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [04:45:49.878195] Epoch: [357] [ 0/850] eta: 1:05:24 lr: 0.001509 loss: 0.0116 (0.0116) loss_rec_all: 0.0479 (0.0479) loss_rec_sfr: 0.0467 (0.0467) loss_cl: -0.3662 (-0.3662) time: 4.6175 data: 3.3999 max mem: 29859 [04:46:07.079247] Epoch: [357] [ 20/850] eta: 0:14:22 lr: 0.001509 loss: 0.0121 (0.0126) loss_rec_all: 0.0485 (0.0488) loss_rec_sfr: 0.0501 (0.0649) loss_cl: -0.3670 (-0.3669) time: 0.8600 data: 0.0002 max mem: 29859 [04:46:24.344910] Epoch: [357] [ 40/850] eta: 0:12:52 lr: 0.001509 loss: 0.0123 (0.0127) loss_rec_all: 0.0483 (0.0490) loss_rec_sfr: 0.0673 (0.0652) loss_cl: -0.3675 (-0.3672) time: 0.8632 data: 0.0002 max mem: 29859 [04:46:41.590771] Epoch: [357] [ 60/850] eta: 0:12:09 lr: 0.001509 loss: 0.0120 (0.0126) loss_rec_all: 0.0484 (0.0489) loss_rec_sfr: 0.0508 (0.0656) loss_cl: -0.3679 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [04:46:58.856300] Epoch: [357] [ 80/850] eta: 0:11:39 lr: 0.001509 loss: 0.0128 (0.0129) loss_rec_all: 0.0491 (0.0492) loss_rec_sfr: 0.0693 (0.0650) loss_cl: -0.3674 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [04:47:16.149914] Epoch: [357] [100/850] eta: 0:11:14 lr: 0.001508 loss: 0.0121 (0.0128) loss_rec_all: 0.0484 (0.0491) loss_rec_sfr: 0.0534 (0.0650) loss_cl: -0.3673 (-0.3673) time: 0.8646 data: 0.0003 max mem: 29859 [04:47:33.496422] Epoch: [357] [120/850] eta: 0:10:52 lr: 0.001508 loss: 0.0128 (0.0128) loss_rec_all: 0.0492 (0.0491) loss_rec_sfr: 0.0500 (0.0647) loss_cl: -0.3670 (-0.3673) time: 0.8673 data: 0.0003 max mem: 29859 [04:47:50.742443] Epoch: [357] [140/850] eta: 0:10:31 lr: 0.001508 loss: 0.0136 (0.0129) loss_rec_all: 0.0499 (0.0491) loss_rec_sfr: 0.0818 (0.0666) loss_cl: -0.3675 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [04:48:08.016641] Epoch: [357] [160/850] eta: 0:10:11 lr: 0.001508 loss: 0.0127 (0.0129) loss_rec_all: 0.0488 (0.0492) loss_rec_sfr: 0.0793 (0.0678) loss_cl: -0.3672 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [04:48:25.272668] Epoch: [357] [180/850] eta: 0:09:52 lr: 0.001508 loss: 0.0119 (0.0129) loss_rec_all: 0.0482 (0.0492) loss_rec_sfr: 0.0533 (0.0671) loss_cl: -0.3671 (-0.3672) time: 0.8628 data: 0.0003 max mem: 29859 [04:48:42.549569] Epoch: [357] [200/850] eta: 0:09:33 lr: 0.001508 loss: 0.0117 (0.0129) loss_rec_all: 0.0480 (0.0491) loss_rec_sfr: 0.0520 (0.0674) loss_cl: -0.3673 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [04:48:59.806019] Epoch: [357] [220/850] eta: 0:09:14 lr: 0.001508 loss: 0.0120 (0.0129) loss_rec_all: 0.0483 (0.0491) loss_rec_sfr: 0.0545 (0.0671) loss_cl: -0.3680 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [04:49:17.095370] Epoch: [357] [240/850] eta: 0:08:56 lr: 0.001508 loss: 0.0134 (0.0129) loss_rec_all: 0.0497 (0.0492) loss_rec_sfr: 0.0692 (0.0678) loss_cl: -0.3679 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [04:49:34.335986] Epoch: [357] [260/850] eta: 0:08:37 lr: 0.001508 loss: 0.0138 (0.0130) loss_rec_all: 0.0502 (0.0493) loss_rec_sfr: 0.0575 (0.0677) loss_cl: -0.3674 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [04:49:51.631719] Epoch: [357] [280/850] eta: 0:08:19 lr: 0.001507 loss: 0.0126 (0.0131) loss_rec_all: 0.0490 (0.0493) loss_rec_sfr: 0.0554 (0.0677) loss_cl: -0.3675 (-0.3674) time: 0.8647 data: 0.0002 max mem: 29859 [04:50:08.873229] Epoch: [357] [300/850] eta: 0:08:01 lr: 0.001507 loss: 0.0151 (0.0133) loss_rec_all: 0.0515 (0.0495) loss_rec_sfr: 0.0683 (0.0682) loss_cl: -0.3674 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [04:50:26.228967] Epoch: [357] [320/850] eta: 0:07:43 lr: 0.001507 loss: 0.0150 (0.0134) loss_rec_all: 0.0513 (0.0496) loss_rec_sfr: 0.0589 (0.0684) loss_cl: -0.3673 (-0.3674) time: 0.8677 data: 0.0003 max mem: 29859 [04:50:43.500563] Epoch: [357] [340/850] eta: 0:07:26 lr: 0.001507 loss: 0.0125 (0.0134) loss_rec_all: 0.0490 (0.0496) loss_rec_sfr: 0.0555 (0.0684) loss_cl: -0.3673 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [04:51:00.769176] Epoch: [357] [360/850] eta: 0:07:08 lr: 0.001507 loss: 0.0137 (0.0134) loss_rec_all: 0.0501 (0.0497) loss_rec_sfr: 0.0533 (0.0682) loss_cl: -0.3674 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [04:51:18.070843] Epoch: [357] [380/850] eta: 0:06:50 lr: 0.001507 loss: 0.0143 (0.0135) loss_rec_all: 0.0507 (0.0497) loss_rec_sfr: 0.0635 (0.0685) loss_cl: -0.3681 (-0.3674) time: 0.8650 data: 0.0002 max mem: 29859 [04:51:35.376313] Epoch: [357] [400/850] eta: 0:06:32 lr: 0.001507 loss: 0.0128 (0.0135) loss_rec_all: 0.0492 (0.0497) loss_rec_sfr: 0.0543 (0.0683) loss_cl: -0.3683 (-0.3674) time: 0.8652 data: 0.0002 max mem: 29859 [04:51:52.647063] Epoch: [357] [420/850] eta: 0:06:15 lr: 0.001507 loss: 0.0129 (0.0135) loss_rec_all: 0.0492 (0.0497) loss_rec_sfr: 0.0529 (0.0682) loss_cl: -0.3675 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [04:52:09.962242] Epoch: [357] [440/850] eta: 0:05:57 lr: 0.001507 loss: 0.0117 (0.0134) loss_rec_all: 0.0482 (0.0497) loss_rec_sfr: 0.0499 (0.0680) loss_cl: -0.3670 (-0.3674) time: 0.8657 data: 0.0002 max mem: 29859 [04:52:27.217486] Epoch: [357] [460/850] eta: 0:05:40 lr: 0.001506 loss: 0.0130 (0.0134) loss_rec_all: 0.0492 (0.0496) loss_rec_sfr: 0.0695 (0.0682) loss_cl: -0.3673 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [04:52:44.540316] Epoch: [357] [480/850] eta: 0:05:22 lr: 0.001506 loss: 0.0120 (0.0133) loss_rec_all: 0.0483 (0.0496) loss_rec_sfr: 0.0477 (0.0677) loss_cl: -0.3667 (-0.3674) time: 0.8661 data: 0.0003 max mem: 29859 [04:53:01.754097] Epoch: [357] [500/850] eta: 0:05:04 lr: 0.001506 loss: 0.0118 (0.0133) loss_rec_all: 0.0480 (0.0496) loss_rec_sfr: 0.0517 (0.0675) loss_cl: -0.3671 (-0.3673) time: 0.8606 data: 0.0002 max mem: 29859 [04:53:19.015839] Epoch: [357] [520/850] eta: 0:04:47 lr: 0.001506 loss: 0.0114 (0.0132) loss_rec_all: 0.0478 (0.0495) loss_rec_sfr: 0.0488 (0.0673) loss_cl: -0.3671 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [04:53:36.253847] Epoch: [357] [540/850] eta: 0:04:29 lr: 0.001506 loss: 0.0132 (0.0133) loss_rec_all: 0.0497 (0.0496) loss_rec_sfr: 0.0518 (0.0674) loss_cl: -0.3674 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [04:53:53.522383] Epoch: [357] [560/850] eta: 0:04:12 lr: 0.001506 loss: 0.0141 (0.0133) loss_rec_all: 0.0503 (0.0496) loss_rec_sfr: 0.0635 (0.0675) loss_cl: -0.3677 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [04:54:10.808400] Epoch: [357] [580/850] eta: 0:03:54 lr: 0.001506 loss: 0.0139 (0.0133) loss_rec_all: 0.0500 (0.0496) loss_rec_sfr: 0.0582 (0.0677) loss_cl: -0.3683 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [04:54:28.093768] Epoch: [357] [600/850] eta: 0:03:37 lr: 0.001506 loss: 0.0139 (0.0134) loss_rec_all: 0.0500 (0.0496) loss_rec_sfr: 0.0712 (0.0679) loss_cl: -0.3682 (-0.3674) time: 0.8642 data: 0.0002 max mem: 29859 [04:54:45.359134] Epoch: [357] [620/850] eta: 0:03:20 lr: 0.001506 loss: 0.0119 (0.0133) loss_rec_all: 0.0484 (0.0496) loss_rec_sfr: 0.0498 (0.0677) loss_cl: -0.3678 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [04:55:02.656161] Epoch: [357] [640/850] eta: 0:03:02 lr: 0.001505 loss: 0.0130 (0.0133) loss_rec_all: 0.0491 (0.0496) loss_rec_sfr: 0.0535 (0.0677) loss_cl: -0.3667 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [04:55:19.925726] Epoch: [357] [660/850] eta: 0:02:45 lr: 0.001505 loss: 0.0121 (0.0133) loss_rec_all: 0.0482 (0.0496) loss_rec_sfr: 0.0515 (0.0676) loss_cl: -0.3666 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [04:55:37.255582] Epoch: [357] [680/850] eta: 0:02:27 lr: 0.001505 loss: 0.0122 (0.0133) loss_rec_all: 0.0485 (0.0496) loss_rec_sfr: 0.0503 (0.0675) loss_cl: -0.3667 (-0.3674) time: 0.8664 data: 0.0002 max mem: 29859 [04:55:54.506672] Epoch: [357] [700/850] eta: 0:02:10 lr: 0.001505 loss: 0.0114 (0.0133) loss_rec_all: 0.0479 (0.0495) loss_rec_sfr: 0.0468 (0.0672) loss_cl: -0.3679 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [04:56:11.806717] Epoch: [357] [720/850] eta: 0:01:52 lr: 0.001505 loss: 0.0124 (0.0132) loss_rec_all: 0.0488 (0.0495) loss_rec_sfr: 0.0534 (0.0672) loss_cl: -0.3682 (-0.3674) time: 0.8649 data: 0.0002 max mem: 29859 [04:56:29.042933] Epoch: [357] [740/850] eta: 0:01:35 lr: 0.001505 loss: 0.0124 (0.0132) loss_rec_all: 0.0487 (0.0495) loss_rec_sfr: 0.0695 (0.0674) loss_cl: -0.3682 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [04:56:46.329634] Epoch: [357] [760/850] eta: 0:01:18 lr: 0.001505 loss: 0.0128 (0.0132) loss_rec_all: 0.0490 (0.0495) loss_rec_sfr: 0.0690 (0.0675) loss_cl: -0.3679 (-0.3674) time: 0.8643 data: 0.0003 max mem: 29859 [04:57:03.584710] Epoch: [357] [780/850] eta: 0:01:00 lr: 0.001505 loss: 0.0130 (0.0132) loss_rec_all: 0.0492 (0.0495) loss_rec_sfr: 0.0683 (0.0678) loss_cl: -0.3674 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [04:57:20.837522] Epoch: [357] [800/850] eta: 0:00:43 lr: 0.001504 loss: 0.0135 (0.0132) loss_rec_all: 0.0495 (0.0495) loss_rec_sfr: 0.0696 (0.0679) loss_cl: -0.3667 (-0.3674) time: 0.8626 data: 0.0002 max mem: 29859 [04:57:38.091858] Epoch: [357] [820/850] eta: 0:00:26 lr: 0.001504 loss: 0.0130 (0.0132) loss_rec_all: 0.0493 (0.0495) loss_rec_sfr: 0.0683 (0.0681) loss_cl: -0.3663 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [04:57:55.391317] Epoch: [357] [840/850] eta: 0:00:08 lr: 0.001504 loss: 0.0122 (0.0132) loss_rec_all: 0.0485 (0.0495) loss_rec_sfr: 0.0487 (0.0679) loss_cl: -0.3667 (-0.3674) time: 0.8649 data: 0.0005 max mem: 29859 [04:58:03.145158] Epoch: [357] [849/850] eta: 0:00:00 lr: 0.001504 loss: 0.0122 (0.0132) loss_rec_all: 0.0485 (0.0495) loss_rec_sfr: 0.0535 (0.0679) loss_cl: -0.3670 (-0.3674) time: 0.8638 data: 0.0004 max mem: 29859 [04:58:03.285768] Epoch: [357] Total time: 0:12:18 (0.8683 s / it) [04:58:03.288178] Averaged stats: lr: 0.001504 loss: 0.0122 (0.0133) loss_rec_all: 0.0485 (0.0496) loss_rec_sfr: 0.0535 (0.0687) loss_cl: -0.3670 (-0.3673) [04:58:03.300807] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [04:58:07.607257] Epoch: [358] [ 0/850] eta: 1:00:59 lr: 0.001504 loss: 0.0154 (0.0154) loss_rec_all: 0.0515 (0.0515) loss_rec_sfr: 0.0905 (0.0905) loss_cl: -0.3672 (-0.3672) time: 4.3055 data: 3.3224 max mem: 29859 [04:58:24.822677] Epoch: [358] [ 20/850] eta: 0:14:10 lr: 0.001504 loss: 0.0126 (0.0133) loss_rec_all: 0.0489 (0.0495) loss_rec_sfr: 0.0556 (0.0686) loss_cl: -0.3673 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [04:58:42.066038] Epoch: [358] [ 40/850] eta: 0:12:45 lr: 0.001504 loss: 0.0127 (0.0140) loss_rec_all: 0.0491 (0.0502) loss_rec_sfr: 0.0553 (0.0670) loss_cl: -0.3677 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [04:58:59.285424] Epoch: [358] [ 60/850] eta: 0:12:05 lr: 0.001504 loss: 0.0136 (0.0142) loss_rec_all: 0.0496 (0.0504) loss_rec_sfr: 0.0739 (0.0687) loss_cl: -0.3677 (-0.3675) time: 0.8609 data: 0.0002 max mem: 29859 [04:59:16.548982] Epoch: [358] [ 80/850] eta: 0:11:36 lr: 0.001504 loss: 0.0128 (0.0138) loss_rec_all: 0.0493 (0.0501) loss_rec_sfr: 0.0541 (0.0669) loss_cl: -0.3678 (-0.3676) time: 0.8631 data: 0.0002 max mem: 29859 [04:59:33.781604] Epoch: [358] [100/850] eta: 0:11:11 lr: 0.001504 loss: 0.0118 (0.0136) loss_rec_all: 0.0482 (0.0499) loss_rec_sfr: 0.0554 (0.0671) loss_cl: -0.3680 (-0.3677) time: 0.8616 data: 0.0002 max mem: 29859 [04:59:51.047561] Epoch: [358] [120/850] eta: 0:10:50 lr: 0.001504 loss: 0.0132 (0.0135) loss_rec_all: 0.0496 (0.0498) loss_rec_sfr: 0.0723 (0.0679) loss_cl: -0.3676 (-0.3677) time: 0.8632 data: 0.0002 max mem: 29859 [05:00:08.299094] Epoch: [358] [140/850] eta: 0:10:29 lr: 0.001503 loss: 0.0123 (0.0135) loss_rec_all: 0.0487 (0.0498) loss_rec_sfr: 0.0499 (0.0676) loss_cl: -0.3673 (-0.3676) time: 0.8625 data: 0.0002 max mem: 29859 [05:00:25.633976] Epoch: [358] [160/850] eta: 0:10:09 lr: 0.001503 loss: 0.0136 (0.0135) loss_rec_all: 0.0499 (0.0498) loss_rec_sfr: 0.0691 (0.0676) loss_cl: -0.3672 (-0.3676) time: 0.8667 data: 0.0003 max mem: 29859 [05:00:42.872617] Epoch: [358] [180/850] eta: 0:09:50 lr: 0.001503 loss: 0.0119 (0.0135) loss_rec_all: 0.0481 (0.0497) loss_rec_sfr: 0.0708 (0.0680) loss_cl: -0.3670 (-0.3675) time: 0.8619 data: 0.0002 max mem: 29859 [05:01:00.153317] Epoch: [358] [200/850] eta: 0:09:31 lr: 0.001503 loss: 0.0125 (0.0134) loss_rec_all: 0.0487 (0.0497) loss_rec_sfr: 0.0519 (0.0679) loss_cl: -0.3673 (-0.3675) time: 0.8640 data: 0.0002 max mem: 29859 [05:01:17.394504] Epoch: [358] [220/850] eta: 0:09:13 lr: 0.001503 loss: 0.0121 (0.0134) loss_rec_all: 0.0484 (0.0496) loss_rec_sfr: 0.0528 (0.0678) loss_cl: -0.3670 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [05:01:34.695498] Epoch: [358] [240/850] eta: 0:08:55 lr: 0.001503 loss: 0.0133 (0.0134) loss_rec_all: 0.0495 (0.0496) loss_rec_sfr: 0.0539 (0.0675) loss_cl: -0.3669 (-0.3674) time: 0.8650 data: 0.0001 max mem: 29859 [05:01:51.930872] Epoch: [358] [260/850] eta: 0:08:36 lr: 0.001503 loss: 0.0134 (0.0134) loss_rec_all: 0.0496 (0.0497) loss_rec_sfr: 0.0724 (0.0681) loss_cl: -0.3673 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [05:02:09.208785] Epoch: [358] [280/850] eta: 0:08:18 lr: 0.001503 loss: 0.0125 (0.0134) loss_rec_all: 0.0486 (0.0496) loss_rec_sfr: 0.0498 (0.0679) loss_cl: -0.3677 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [05:02:26.468836] Epoch: [358] [300/850] eta: 0:08:00 lr: 0.001503 loss: 0.0130 (0.0134) loss_rec_all: 0.0492 (0.0496) loss_rec_sfr: 0.0736 (0.0685) loss_cl: -0.3677 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [05:02:43.734982] Epoch: [358] [320/850] eta: 0:07:42 lr: 0.001502 loss: 0.0129 (0.0134) loss_rec_all: 0.0492 (0.0497) loss_rec_sfr: 0.0723 (0.0688) loss_cl: -0.3674 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [05:03:00.983155] Epoch: [358] [340/850] eta: 0:07:25 lr: 0.001502 loss: 0.0132 (0.0135) loss_rec_all: 0.0494 (0.0497) loss_rec_sfr: 0.0582 (0.0691) loss_cl: -0.3672 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [05:03:18.293206] Epoch: [358] [360/850] eta: 0:07:07 lr: 0.001502 loss: 0.0139 (0.0135) loss_rec_all: 0.0501 (0.0498) loss_rec_sfr: 0.0591 (0.0691) loss_cl: -0.3673 (-0.3674) time: 0.8655 data: 0.0002 max mem: 29859 [05:03:35.530456] Epoch: [358] [380/850] eta: 0:06:49 lr: 0.001502 loss: 0.0134 (0.0135) loss_rec_all: 0.0495 (0.0498) loss_rec_sfr: 0.0730 (0.0694) loss_cl: -0.3675 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [05:03:52.819644] Epoch: [358] [400/850] eta: 0:06:32 lr: 0.001502 loss: 0.0146 (0.0136) loss_rec_all: 0.0506 (0.0498) loss_rec_sfr: 0.0706 (0.0699) loss_cl: -0.3675 (-0.3674) time: 0.8644 data: 0.0002 max mem: 29859 [05:04:10.064509] Epoch: [358] [420/850] eta: 0:06:14 lr: 0.001502 loss: 0.0120 (0.0136) loss_rec_all: 0.0484 (0.0498) loss_rec_sfr: 0.0528 (0.0696) loss_cl: -0.3673 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [05:04:27.366108] Epoch: [358] [440/850] eta: 0:05:57 lr: 0.001502 loss: 0.0149 (0.0136) loss_rec_all: 0.0508 (0.0498) loss_rec_sfr: 0.0865 (0.0703) loss_cl: -0.3674 (-0.3674) time: 0.8650 data: 0.0002 max mem: 29859 [05:04:44.605402] Epoch: [358] [460/850] eta: 0:05:39 lr: 0.001502 loss: 0.0121 (0.0136) loss_rec_all: 0.0485 (0.0498) loss_rec_sfr: 0.0670 (0.0702) loss_cl: -0.3671 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [05:05:01.868677] Epoch: [358] [480/850] eta: 0:05:21 lr: 0.001501 loss: 0.0139 (0.0136) loss_rec_all: 0.0502 (0.0498) loss_rec_sfr: 0.0679 (0.0702) loss_cl: -0.3673 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [05:05:19.076088] Epoch: [358] [500/850] eta: 0:05:04 lr: 0.001501 loss: 0.0134 (0.0136) loss_rec_all: 0.0495 (0.0498) loss_rec_sfr: 0.0728 (0.0704) loss_cl: -0.3674 (-0.3674) time: 0.8603 data: 0.0002 max mem: 29859 [05:05:36.320935] Epoch: [358] [520/850] eta: 0:04:46 lr: 0.001501 loss: 0.0116 (0.0135) loss_rec_all: 0.0480 (0.0498) loss_rec_sfr: 0.0502 (0.0701) loss_cl: -0.3674 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [05:05:53.554079] Epoch: [358] [540/850] eta: 0:04:29 lr: 0.001501 loss: 0.0124 (0.0135) loss_rec_all: 0.0485 (0.0498) loss_rec_sfr: 0.0541 (0.0702) loss_cl: -0.3678 (-0.3674) time: 0.8616 data: 0.0002 max mem: 29859 [05:06:10.828244] Epoch: [358] [560/850] eta: 0:04:12 lr: 0.001501 loss: 0.0123 (0.0135) loss_rec_all: 0.0487 (0.0498) loss_rec_sfr: 0.0514 (0.0699) loss_cl: -0.3676 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [05:06:28.088307] Epoch: [358] [580/850] eta: 0:03:54 lr: 0.001501 loss: 0.0131 (0.0135) loss_rec_all: 0.0495 (0.0498) loss_rec_sfr: 0.0530 (0.0697) loss_cl: -0.3671 (-0.3674) time: 0.8629 data: 0.0003 max mem: 29859 [05:06:45.371790] Epoch: [358] [600/850] eta: 0:03:37 lr: 0.001501 loss: 0.0128 (0.0135) loss_rec_all: 0.0489 (0.0498) loss_rec_sfr: 0.0505 (0.0695) loss_cl: -0.3670 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [05:07:02.616936] Epoch: [358] [620/850] eta: 0:03:19 lr: 0.001501 loss: 0.0131 (0.0135) loss_rec_all: 0.0494 (0.0498) loss_rec_sfr: 0.0548 (0.0695) loss_cl: -0.3671 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [05:07:19.902943] Epoch: [358] [640/850] eta: 0:03:02 lr: 0.001501 loss: 0.0141 (0.0135) loss_rec_all: 0.0502 (0.0498) loss_rec_sfr: 0.0953 (0.0699) loss_cl: -0.3671 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [05:07:37.151044] Epoch: [358] [660/850] eta: 0:02:44 lr: 0.001500 loss: 0.0123 (0.0135) loss_rec_all: 0.0486 (0.0498) loss_rec_sfr: 0.0533 (0.0697) loss_cl: -0.3675 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [05:07:54.433740] Epoch: [358] [680/850] eta: 0:02:27 lr: 0.001500 loss: 0.0134 (0.0135) loss_rec_all: 0.0496 (0.0498) loss_rec_sfr: 0.0705 (0.0697) loss_cl: -0.3677 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [05:08:11.654240] Epoch: [358] [700/850] eta: 0:02:10 lr: 0.001500 loss: 0.0120 (0.0135) loss_rec_all: 0.0484 (0.0498) loss_rec_sfr: 0.0555 (0.0696) loss_cl: -0.3677 (-0.3674) time: 0.8610 data: 0.0001 max mem: 29859 [05:08:28.954845] Epoch: [358] [720/850] eta: 0:01:52 lr: 0.001500 loss: 0.0120 (0.0135) loss_rec_all: 0.0483 (0.0497) loss_rec_sfr: 0.0540 (0.0695) loss_cl: -0.3680 (-0.3674) time: 0.8650 data: 0.0002 max mem: 29859 [05:08:46.193050] Epoch: [358] [740/850] eta: 0:01:35 lr: 0.001500 loss: 0.0126 (0.0135) loss_rec_all: 0.0487 (0.0497) loss_rec_sfr: 0.0492 (0.0694) loss_cl: -0.3678 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [05:09:03.458789] Epoch: [358] [760/850] eta: 0:01:18 lr: 0.001500 loss: 0.0145 (0.0135) loss_rec_all: 0.0510 (0.0498) loss_rec_sfr: 0.0542 (0.0694) loss_cl: -0.3675 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [05:09:20.690180] Epoch: [358] [780/850] eta: 0:01:00 lr: 0.001500 loss: 0.0182 (0.0137) loss_rec_all: 0.0545 (0.0500) loss_rec_sfr: 0.0677 (0.0695) loss_cl: -0.3674 (-0.3674) time: 0.8615 data: 0.0002 max mem: 29859 [05:09:37.968255] Epoch: [358] [800/850] eta: 0:00:43 lr: 0.001500 loss: 0.0197 (0.0139) loss_rec_all: 0.0560 (0.0502) loss_rec_sfr: 0.0645 (0.0697) loss_cl: -0.3674 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [05:09:55.259622] Epoch: [358] [820/850] eta: 0:00:26 lr: 0.001500 loss: 0.0191 (0.0141) loss_rec_all: 0.0552 (0.0503) loss_rec_sfr: 0.0624 (0.0699) loss_cl: -0.3676 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [05:10:12.551835] Epoch: [358] [840/850] eta: 0:00:08 lr: 0.001499 loss: 0.0170 (0.0142) loss_rec_all: 0.0533 (0.0504) loss_rec_sfr: 0.0811 (0.0701) loss_cl: -0.3676 (-0.3674) time: 0.8646 data: 0.0005 max mem: 29859 [05:10:20.305315] Epoch: [358] [849/850] eta: 0:00:00 lr: 0.001499 loss: 0.0161 (0.0142) loss_rec_all: 0.0523 (0.0505) loss_rec_sfr: 0.0599 (0.0701) loss_cl: -0.3670 (-0.3674) time: 0.8632 data: 0.0005 max mem: 29859 [05:10:20.416115] Epoch: [358] Total time: 0:12:17 (0.8672 s / it) [05:10:20.425638] Averaged stats: lr: 0.001499 loss: 0.0161 (0.0142) loss_rec_all: 0.0523 (0.0505) loss_rec_sfr: 0.0599 (0.0705) loss_cl: -0.3670 (-0.3673) [05:10:20.436136] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [05:10:24.528606] Epoch: [359] [ 0/850] eta: 0:57:57 lr: 0.001499 loss: 0.0157 (0.0157) loss_rec_all: 0.0518 (0.0518) loss_rec_sfr: 0.0483 (0.0483) loss_cl: -0.3652 (-0.3652) time: 4.0917 data: 3.2313 max mem: 29859 [05:10:41.713536] Epoch: [359] [ 20/850] eta: 0:14:00 lr: 0.001499 loss: 0.0150 (0.0155) loss_rec_all: 0.0510 (0.0518) loss_rec_sfr: 0.0528 (0.0634) loss_cl: -0.3666 (-0.3666) time: 0.8592 data: 0.0002 max mem: 29859 [05:10:58.978423] Epoch: [359] [ 40/850] eta: 0:12:41 lr: 0.001499 loss: 0.0149 (0.0155) loss_rec_all: 0.0510 (0.0517) loss_rec_sfr: 0.0547 (0.0665) loss_cl: -0.3669 (-0.3667) time: 0.8632 data: 0.0002 max mem: 29859 [05:11:16.224948] Epoch: [359] [ 60/850] eta: 0:12:02 lr: 0.001499 loss: 0.0149 (0.0152) loss_rec_all: 0.0509 (0.0514) loss_rec_sfr: 0.0763 (0.0689) loss_cl: -0.3671 (-0.3668) time: 0.8623 data: 0.0002 max mem: 29859 [05:11:33.494671] Epoch: [359] [ 80/850] eta: 0:11:34 lr: 0.001499 loss: 0.0138 (0.0150) loss_rec_all: 0.0500 (0.0512) loss_rec_sfr: 0.0546 (0.0692) loss_cl: -0.3675 (-0.3670) time: 0.8634 data: 0.0002 max mem: 29859 [05:11:50.768357] Epoch: [359] [100/850] eta: 0:11:10 lr: 0.001499 loss: 0.0137 (0.0149) loss_rec_all: 0.0501 (0.0511) loss_rec_sfr: 0.0533 (0.0688) loss_cl: -0.3681 (-0.3672) time: 0.8636 data: 0.0002 max mem: 29859 [05:12:08.051941] Epoch: [359] [120/850] eta: 0:10:49 lr: 0.001499 loss: 0.0124 (0.0146) loss_rec_all: 0.0490 (0.0509) loss_rec_sfr: 0.0496 (0.0674) loss_cl: -0.3685 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [05:12:25.301401] Epoch: [359] [140/850] eta: 0:10:28 lr: 0.001499 loss: 0.0136 (0.0144) loss_rec_all: 0.0500 (0.0507) loss_rec_sfr: 0.0513 (0.0671) loss_cl: -0.3676 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [05:12:42.607488] Epoch: [359] [160/850] eta: 0:10:09 lr: 0.001498 loss: 0.0125 (0.0143) loss_rec_all: 0.0487 (0.0505) loss_rec_sfr: 0.0702 (0.0672) loss_cl: -0.3675 (-0.3674) time: 0.8653 data: 0.0003 max mem: 29859 [05:12:59.846575] Epoch: [359] [180/850] eta: 0:09:50 lr: 0.001498 loss: 0.0124 (0.0141) loss_rec_all: 0.0487 (0.0504) loss_rec_sfr: 0.0522 (0.0669) loss_cl: -0.3667 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [05:13:17.225873] Epoch: [359] [200/850] eta: 0:09:31 lr: 0.001498 loss: 0.0110 (0.0139) loss_rec_all: 0.0473 (0.0502) loss_rec_sfr: 0.0471 (0.0662) loss_cl: -0.3666 (-0.3673) time: 0.8689 data: 0.0003 max mem: 29859 [05:13:34.537618] Epoch: [359] [220/850] eta: 0:09:13 lr: 0.001498 loss: 0.0127 (0.0138) loss_rec_all: 0.0490 (0.0501) loss_rec_sfr: 0.0699 (0.0668) loss_cl: -0.3672 (-0.3673) time: 0.8655 data: 0.0002 max mem: 29859 [05:13:51.819582] Epoch: [359] [240/850] eta: 0:08:55 lr: 0.001498 loss: 0.0123 (0.0138) loss_rec_all: 0.0487 (0.0501) loss_rec_sfr: 0.0567 (0.0668) loss_cl: -0.3671 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [05:14:09.084498] Epoch: [359] [260/850] eta: 0:08:36 lr: 0.001498 loss: 0.0144 (0.0138) loss_rec_all: 0.0503 (0.0501) loss_rec_sfr: 0.0701 (0.0673) loss_cl: -0.3673 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [05:14:26.362199] Epoch: [359] [280/850] eta: 0:08:18 lr: 0.001498 loss: 0.0125 (0.0137) loss_rec_all: 0.0488 (0.0500) loss_rec_sfr: 0.0665 (0.0676) loss_cl: -0.3671 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [05:14:43.627314] Epoch: [359] [300/850] eta: 0:08:00 lr: 0.001498 loss: 0.0121 (0.0137) loss_rec_all: 0.0485 (0.0499) loss_rec_sfr: 0.0572 (0.0675) loss_cl: -0.3672 (-0.3672) time: 0.8632 data: 0.0002 max mem: 29859 [05:15:00.899767] Epoch: [359] [320/850] eta: 0:07:43 lr: 0.001498 loss: 0.0119 (0.0136) loss_rec_all: 0.0481 (0.0499) loss_rec_sfr: 0.0665 (0.0676) loss_cl: -0.3673 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [05:15:18.136632] Epoch: [359] [340/850] eta: 0:07:25 lr: 0.001497 loss: 0.0117 (0.0136) loss_rec_all: 0.0481 (0.0498) loss_rec_sfr: 0.0752 (0.0677) loss_cl: -0.3680 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [05:15:35.428118] Epoch: [359] [360/850] eta: 0:07:07 lr: 0.001497 loss: 0.0122 (0.0135) loss_rec_all: 0.0486 (0.0498) loss_rec_sfr: 0.0690 (0.0679) loss_cl: -0.3679 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [05:15:52.672588] Epoch: [359] [380/850] eta: 0:06:49 lr: 0.001497 loss: 0.0122 (0.0135) loss_rec_all: 0.0486 (0.0497) loss_rec_sfr: 0.0512 (0.0677) loss_cl: -0.3676 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [05:16:10.004730] Epoch: [359] [400/850] eta: 0:06:32 lr: 0.001497 loss: 0.0109 (0.0134) loss_rec_all: 0.0473 (0.0496) loss_rec_sfr: 0.0476 (0.0673) loss_cl: -0.3671 (-0.3673) time: 0.8665 data: 0.0003 max mem: 29859 [05:16:27.243240] Epoch: [359] [420/850] eta: 0:06:14 lr: 0.001497 loss: 0.0113 (0.0133) loss_rec_all: 0.0476 (0.0496) loss_rec_sfr: 0.0484 (0.0671) loss_cl: -0.3675 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [05:16:44.538695] Epoch: [359] [440/850] eta: 0:05:57 lr: 0.001497 loss: 0.0128 (0.0133) loss_rec_all: 0.0492 (0.0496) loss_rec_sfr: 0.0575 (0.0672) loss_cl: -0.3674 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [05:17:01.814448] Epoch: [359] [460/850] eta: 0:05:39 lr: 0.001497 loss: 0.0126 (0.0133) loss_rec_all: 0.0486 (0.0496) loss_rec_sfr: 0.0662 (0.0673) loss_cl: -0.3676 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [05:17:19.104588] Epoch: [359] [480/850] eta: 0:05:22 lr: 0.001497 loss: 0.0125 (0.0133) loss_rec_all: 0.0489 (0.0496) loss_rec_sfr: 0.0673 (0.0675) loss_cl: -0.3678 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [05:17:36.371635] Epoch: [359] [500/850] eta: 0:05:04 lr: 0.001497 loss: 0.0126 (0.0133) loss_rec_all: 0.0489 (0.0496) loss_rec_sfr: 0.0554 (0.0675) loss_cl: -0.3676 (-0.3674) time: 0.8633 data: 0.0003 max mem: 29859 [05:17:53.644370] Epoch: [359] [520/850] eta: 0:04:47 lr: 0.001496 loss: 0.0138 (0.0133) loss_rec_all: 0.0498 (0.0496) loss_rec_sfr: 0.0712 (0.0678) loss_cl: -0.3672 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [05:18:10.902771] Epoch: [359] [540/850] eta: 0:04:29 lr: 0.001496 loss: 0.0128 (0.0134) loss_rec_all: 0.0492 (0.0496) loss_rec_sfr: 0.0533 (0.0678) loss_cl: -0.3672 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [05:18:28.186436] Epoch: [359] [560/850] eta: 0:04:12 lr: 0.001496 loss: 0.0123 (0.0133) loss_rec_all: 0.0486 (0.0496) loss_rec_sfr: 0.0522 (0.0676) loss_cl: -0.3675 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [05:18:45.435342] Epoch: [359] [580/850] eta: 0:03:54 lr: 0.001496 loss: 0.0126 (0.0133) loss_rec_all: 0.0490 (0.0496) loss_rec_sfr: 0.0515 (0.0676) loss_cl: -0.3675 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [05:19:02.721833] Epoch: [359] [600/850] eta: 0:03:37 lr: 0.001496 loss: 0.0120 (0.0133) loss_rec_all: 0.0484 (0.0496) loss_rec_sfr: 0.0488 (0.0674) loss_cl: -0.3675 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [05:19:19.958154] Epoch: [359] [620/850] eta: 0:03:19 lr: 0.001496 loss: 0.0132 (0.0133) loss_rec_all: 0.0493 (0.0496) loss_rec_sfr: 0.0537 (0.0674) loss_cl: -0.3679 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [05:19:37.310988] Epoch: [359] [640/850] eta: 0:03:02 lr: 0.001496 loss: 0.0124 (0.0133) loss_rec_all: 0.0488 (0.0496) loss_rec_sfr: 0.0529 (0.0674) loss_cl: -0.3675 (-0.3674) time: 0.8676 data: 0.0003 max mem: 29859 [05:19:54.551705] Epoch: [359] [660/850] eta: 0:02:45 lr: 0.001496 loss: 0.0122 (0.0133) loss_rec_all: 0.0486 (0.0496) loss_rec_sfr: 0.0501 (0.0672) loss_cl: -0.3677 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [05:20:11.835785] Epoch: [359] [680/850] eta: 0:02:27 lr: 0.001496 loss: 0.0127 (0.0133) loss_rec_all: 0.0491 (0.0496) loss_rec_sfr: 0.0530 (0.0673) loss_cl: -0.3679 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [05:20:29.060099] Epoch: [359] [700/850] eta: 0:02:10 lr: 0.001495 loss: 0.0125 (0.0133) loss_rec_all: 0.0488 (0.0496) loss_rec_sfr: 0.0576 (0.0674) loss_cl: -0.3673 (-0.3674) time: 0.8612 data: 0.0002 max mem: 29859 [05:20:46.329729] Epoch: [359] [720/850] eta: 0:01:52 lr: 0.001495 loss: 0.0136 (0.0133) loss_rec_all: 0.0500 (0.0496) loss_rec_sfr: 0.0715 (0.0676) loss_cl: -0.3674 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [05:21:03.564124] Epoch: [359] [740/850] eta: 0:01:35 lr: 0.001495 loss: 0.0119 (0.0133) loss_rec_all: 0.0483 (0.0496) loss_rec_sfr: 0.0501 (0.0674) loss_cl: -0.3672 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [05:21:20.854112] Epoch: [359] [760/850] eta: 0:01:18 lr: 0.001495 loss: 0.0122 (0.0133) loss_rec_all: 0.0484 (0.0496) loss_rec_sfr: 0.0520 (0.0673) loss_cl: -0.3669 (-0.3674) time: 0.8644 data: 0.0002 max mem: 29859 [05:21:38.109424] Epoch: [359] [780/850] eta: 0:01:00 lr: 0.001495 loss: 0.0121 (0.0133) loss_rec_all: 0.0483 (0.0495) loss_rec_sfr: 0.0517 (0.0672) loss_cl: -0.3669 (-0.3674) time: 0.8627 data: 0.0003 max mem: 29859 [05:21:55.401327] Epoch: [359] [800/850] eta: 0:00:43 lr: 0.001495 loss: 0.0133 (0.0133) loss_rec_all: 0.0494 (0.0495) loss_rec_sfr: 0.0658 (0.0672) loss_cl: -0.3670 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [05:22:12.648341] Epoch: [359] [820/850] eta: 0:00:26 lr: 0.001495 loss: 0.0119 (0.0132) loss_rec_all: 0.0483 (0.0495) loss_rec_sfr: 0.0528 (0.0671) loss_cl: -0.3674 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [05:22:29.979544] Epoch: [359] [840/850] eta: 0:00:08 lr: 0.001495 loss: 0.0133 (0.0133) loss_rec_all: 0.0497 (0.0495) loss_rec_sfr: 0.0716 (0.0672) loss_cl: -0.3679 (-0.3674) time: 0.8665 data: 0.0007 max mem: 29859 [05:22:37.733605] Epoch: [359] [849/850] eta: 0:00:00 lr: 0.001495 loss: 0.0133 (0.0133) loss_rec_all: 0.0497 (0.0496) loss_rec_sfr: 0.0673 (0.0672) loss_cl: -0.3680 (-0.3674) time: 0.8649 data: 0.0006 max mem: 29859 [05:22:37.871147] Epoch: [359] Total time: 0:12:17 (0.8676 s / it) [05:22:37.874974] Averaged stats: lr: 0.001495 loss: 0.0133 (0.0134) loss_rec_all: 0.0497 (0.0497) loss_rec_sfr: 0.0673 (0.0687) loss_cl: -0.3680 (-0.3674) [05:22:37.887417] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [05:22:42.275967] Epoch: [360] [ 0/850] eta: 1:02:09 lr: 0.001495 loss: 0.0103 (0.0103) loss_rec_all: 0.0468 (0.0468) loss_rec_sfr: 0.0463 (0.0463) loss_cl: -0.3688 (-0.3688) time: 4.3879 data: 3.5300 max mem: 29859 [05:22:59.482966] Epoch: [360] [ 20/850] eta: 0:14:13 lr: 0.001494 loss: 0.0124 (0.0121) loss_rec_all: 0.0485 (0.0484) loss_rec_sfr: 0.0502 (0.0605) loss_cl: -0.3680 (-0.3679) time: 0.8603 data: 0.0001 max mem: 29859 [05:23:16.757156] Epoch: [360] [ 40/850] eta: 0:12:47 lr: 0.001494 loss: 0.0115 (0.0122) loss_rec_all: 0.0478 (0.0486) loss_rec_sfr: 0.0573 (0.0646) loss_cl: -0.3677 (-0.3678) time: 0.8637 data: 0.0002 max mem: 29859 [05:23:33.980162] Epoch: [360] [ 60/850] eta: 0:12:06 lr: 0.001494 loss: 0.0123 (0.0125) loss_rec_all: 0.0488 (0.0488) loss_rec_sfr: 0.0555 (0.0656) loss_cl: -0.3676 (-0.3677) time: 0.8611 data: 0.0001 max mem: 29859 [05:23:51.253486] Epoch: [360] [ 80/850] eta: 0:11:37 lr: 0.001494 loss: 0.0144 (0.0129) loss_rec_all: 0.0506 (0.0492) loss_rec_sfr: 0.0720 (0.0682) loss_cl: -0.3677 (-0.3677) time: 0.8636 data: 0.0002 max mem: 29859 [05:24:08.491717] Epoch: [360] [100/850] eta: 0:11:12 lr: 0.001494 loss: 0.0124 (0.0129) loss_rec_all: 0.0488 (0.0492) loss_rec_sfr: 0.0739 (0.0698) loss_cl: -0.3673 (-0.3676) time: 0.8619 data: 0.0001 max mem: 29859 [05:24:25.757515] Epoch: [360] [120/850] eta: 0:10:50 lr: 0.001494 loss: 0.0113 (0.0128) loss_rec_all: 0.0477 (0.0491) loss_rec_sfr: 0.0650 (0.0694) loss_cl: -0.3673 (-0.3676) time: 0.8632 data: 0.0002 max mem: 29859 [05:24:43.003811] Epoch: [360] [140/850] eta: 0:10:29 lr: 0.001494 loss: 0.0137 (0.0129) loss_rec_all: 0.0498 (0.0492) loss_rec_sfr: 0.0731 (0.0703) loss_cl: -0.3675 (-0.3676) time: 0.8623 data: 0.0002 max mem: 29859 [05:25:00.256787] Epoch: [360] [160/850] eta: 0:10:10 lr: 0.001494 loss: 0.0124 (0.0129) loss_rec_all: 0.0487 (0.0492) loss_rec_sfr: 0.0720 (0.0706) loss_cl: -0.3671 (-0.3675) time: 0.8626 data: 0.0002 max mem: 29859 [05:25:17.479980] Epoch: [360] [180/850] eta: 0:09:50 lr: 0.001494 loss: 0.0123 (0.0129) loss_rec_all: 0.0485 (0.0492) loss_rec_sfr: 0.0801 (0.0712) loss_cl: -0.3669 (-0.3674) time: 0.8611 data: 0.0002 max mem: 29859 [05:25:34.767592] Epoch: [360] [200/850] eta: 0:09:31 lr: 0.001493 loss: 0.0129 (0.0129) loss_rec_all: 0.0490 (0.0492) loss_rec_sfr: 0.0524 (0.0705) loss_cl: -0.3668 (-0.3674) time: 0.8643 data: 0.0003 max mem: 29859 [05:25:52.002447] Epoch: [360] [220/850] eta: 0:09:13 lr: 0.001493 loss: 0.0122 (0.0130) loss_rec_all: 0.0484 (0.0492) loss_rec_sfr: 0.0531 (0.0699) loss_cl: -0.3667 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [05:26:09.344619] Epoch: [360] [240/850] eta: 0:08:55 lr: 0.001493 loss: 0.0133 (0.0130) loss_rec_all: 0.0495 (0.0493) loss_rec_sfr: 0.0776 (0.0704) loss_cl: -0.3667 (-0.3673) time: 0.8671 data: 0.0002 max mem: 29859 [05:26:26.589557] Epoch: [360] [260/850] eta: 0:08:36 lr: 0.001493 loss: 0.0130 (0.0131) loss_rec_all: 0.0493 (0.0494) loss_rec_sfr: 0.0708 (0.0703) loss_cl: -0.3671 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [05:26:43.872487] Epoch: [360] [280/850] eta: 0:08:18 lr: 0.001493 loss: 0.0127 (0.0132) loss_rec_all: 0.0491 (0.0494) loss_rec_sfr: 0.0545 (0.0705) loss_cl: -0.3679 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [05:27:01.110894] Epoch: [360] [300/850] eta: 0:08:00 lr: 0.001493 loss: 0.0126 (0.0132) loss_rec_all: 0.0490 (0.0494) loss_rec_sfr: 0.0505 (0.0701) loss_cl: -0.3682 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [05:27:18.379979] Epoch: [360] [320/850] eta: 0:07:43 lr: 0.001493 loss: 0.0120 (0.0132) loss_rec_all: 0.0484 (0.0494) loss_rec_sfr: 0.0529 (0.0703) loss_cl: -0.3678 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [05:27:35.613488] Epoch: [360] [340/850] eta: 0:07:25 lr: 0.001493 loss: 0.0120 (0.0131) loss_rec_all: 0.0484 (0.0494) loss_rec_sfr: 0.0484 (0.0697) loss_cl: -0.3676 (-0.3674) time: 0.8616 data: 0.0002 max mem: 29859 [05:27:52.889427] Epoch: [360] [360/850] eta: 0:07:07 lr: 0.001493 loss: 0.0114 (0.0131) loss_rec_all: 0.0477 (0.0493) loss_rec_sfr: 0.0469 (0.0694) loss_cl: -0.3669 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [05:28:10.142025] Epoch: [360] [380/850] eta: 0:06:49 lr: 0.001492 loss: 0.0111 (0.0130) loss_rec_all: 0.0474 (0.0493) loss_rec_sfr: 0.0479 (0.0689) loss_cl: -0.3671 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [05:28:27.406335] Epoch: [360] [400/850] eta: 0:06:32 lr: 0.001492 loss: 0.0136 (0.0130) loss_rec_all: 0.0496 (0.0493) loss_rec_sfr: 0.0694 (0.0693) loss_cl: -0.3672 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [05:28:44.680714] Epoch: [360] [420/850] eta: 0:06:14 lr: 0.001492 loss: 0.0125 (0.0130) loss_rec_all: 0.0489 (0.0493) loss_rec_sfr: 0.0699 (0.0694) loss_cl: -0.3678 (-0.3673) time: 0.8637 data: 0.0003 max mem: 29859 [05:29:01.991504] Epoch: [360] [440/850] eta: 0:05:57 lr: 0.001492 loss: 0.0134 (0.0131) loss_rec_all: 0.0497 (0.0493) loss_rec_sfr: 0.0704 (0.0697) loss_cl: -0.3678 (-0.3674) time: 0.8655 data: 0.0004 max mem: 29859 [05:29:19.247457] Epoch: [360] [460/850] eta: 0:05:39 lr: 0.001492 loss: 0.0130 (0.0131) loss_rec_all: 0.0493 (0.0493) loss_rec_sfr: 0.0692 (0.0697) loss_cl: -0.3677 (-0.3674) time: 0.8628 data: 0.0008 max mem: 29859 [05:29:36.532583] Epoch: [360] [480/850] eta: 0:05:22 lr: 0.001492 loss: 0.0158 (0.0132) loss_rec_all: 0.0520 (0.0495) loss_rec_sfr: 0.0779 (0.0700) loss_cl: -0.3676 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [05:29:53.775627] Epoch: [360] [500/850] eta: 0:05:04 lr: 0.001492 loss: 0.0151 (0.0133) loss_rec_all: 0.0515 (0.0496) loss_rec_sfr: 0.0576 (0.0696) loss_cl: -0.3673 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [05:30:11.042747] Epoch: [360] [520/850] eta: 0:04:47 lr: 0.001492 loss: 0.0143 (0.0134) loss_rec_all: 0.0506 (0.0496) loss_rec_sfr: 0.0749 (0.0699) loss_cl: -0.3673 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [05:30:28.297635] Epoch: [360] [540/850] eta: 0:04:29 lr: 0.001492 loss: 0.0136 (0.0134) loss_rec_all: 0.0499 (0.0496) loss_rec_sfr: 0.0584 (0.0699) loss_cl: -0.3674 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [05:30:45.564548] Epoch: [360] [560/850] eta: 0:04:12 lr: 0.001491 loss: 0.0127 (0.0134) loss_rec_all: 0.0490 (0.0496) loss_rec_sfr: 0.0557 (0.0697) loss_cl: -0.3677 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [05:31:02.824287] Epoch: [360] [580/850] eta: 0:03:54 lr: 0.001491 loss: 0.0140 (0.0134) loss_rec_all: 0.0502 (0.0496) loss_rec_sfr: 0.0717 (0.0699) loss_cl: -0.3677 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [05:31:20.099198] Epoch: [360] [600/850] eta: 0:03:37 lr: 0.001491 loss: 0.0127 (0.0134) loss_rec_all: 0.0490 (0.0496) loss_rec_sfr: 0.0519 (0.0697) loss_cl: -0.3672 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [05:31:37.349825] Epoch: [360] [620/850] eta: 0:03:19 lr: 0.001491 loss: 0.0127 (0.0134) loss_rec_all: 0.0490 (0.0496) loss_rec_sfr: 0.0527 (0.0697) loss_cl: -0.3672 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [05:31:54.640680] Epoch: [360] [640/850] eta: 0:03:02 lr: 0.001491 loss: 0.0126 (0.0133) loss_rec_all: 0.0487 (0.0496) loss_rec_sfr: 0.0675 (0.0697) loss_cl: -0.3673 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [05:32:11.914460] Epoch: [360] [660/850] eta: 0:02:44 lr: 0.001491 loss: 0.0130 (0.0133) loss_rec_all: 0.0493 (0.0496) loss_rec_sfr: 0.0517 (0.0696) loss_cl: -0.3671 (-0.3673) time: 0.8636 data: 0.0003 max mem: 29859 [05:32:29.253186] Epoch: [360] [680/850] eta: 0:02:27 lr: 0.001491 loss: 0.0117 (0.0133) loss_rec_all: 0.0480 (0.0496) loss_rec_sfr: 0.0709 (0.0697) loss_cl: -0.3672 (-0.3674) time: 0.8669 data: 0.0002 max mem: 29859 [05:32:46.477944] Epoch: [360] [700/850] eta: 0:02:10 lr: 0.001491 loss: 0.0122 (0.0133) loss_rec_all: 0.0486 (0.0495) loss_rec_sfr: 0.0519 (0.0696) loss_cl: -0.3671 (-0.3673) time: 0.8612 data: 0.0001 max mem: 29859 [05:33:03.786587] Epoch: [360] [720/850] eta: 0:01:52 lr: 0.001491 loss: 0.0134 (0.0133) loss_rec_all: 0.0498 (0.0496) loss_rec_sfr: 0.0671 (0.0695) loss_cl: -0.3668 (-0.3673) time: 0.8654 data: 0.0002 max mem: 29859 [05:33:21.077994] Epoch: [360] [740/850] eta: 0:01:35 lr: 0.001490 loss: 0.0138 (0.0133) loss_rec_all: 0.0500 (0.0496) loss_rec_sfr: 0.0706 (0.0697) loss_cl: -0.3672 (-0.3673) time: 0.8645 data: 0.0003 max mem: 29859 [05:33:38.368872] Epoch: [360] [760/850] eta: 0:01:18 lr: 0.001490 loss: 0.0134 (0.0133) loss_rec_all: 0.0496 (0.0496) loss_rec_sfr: 0.0715 (0.0698) loss_cl: -0.3679 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [05:33:55.613379] Epoch: [360] [780/850] eta: 0:01:00 lr: 0.001490 loss: 0.0138 (0.0134) loss_rec_all: 0.0499 (0.0496) loss_rec_sfr: 0.0707 (0.0699) loss_cl: -0.3674 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [05:34:12.887232] Epoch: [360] [800/850] eta: 0:00:43 lr: 0.001490 loss: 0.0115 (0.0133) loss_rec_all: 0.0479 (0.0496) loss_rec_sfr: 0.0478 (0.0696) loss_cl: -0.3675 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [05:34:30.104881] Epoch: [360] [820/850] eta: 0:00:26 lr: 0.001490 loss: 0.0111 (0.0133) loss_rec_all: 0.0475 (0.0495) loss_rec_sfr: 0.0465 (0.0694) loss_cl: -0.3672 (-0.3673) time: 0.8608 data: 0.0002 max mem: 29859 [05:34:47.384074] Epoch: [360] [840/850] eta: 0:00:08 lr: 0.001490 loss: 0.0116 (0.0133) loss_rec_all: 0.0479 (0.0495) loss_rec_sfr: 0.0559 (0.0693) loss_cl: -0.3677 (-0.3674) time: 0.8639 data: 0.0006 max mem: 29859 [05:34:55.125323] Epoch: [360] [849/850] eta: 0:00:00 lr: 0.001490 loss: 0.0117 (0.0133) loss_rec_all: 0.0482 (0.0495) loss_rec_sfr: 0.0523 (0.0693) loss_cl: -0.3680 (-0.3674) time: 0.8634 data: 0.0005 max mem: 29859 [05:34:55.264133] Epoch: [360] Total time: 0:12:17 (0.8675 s / it) [05:34:55.266548] Averaged stats: lr: 0.001490 loss: 0.0117 (0.0133) loss_rec_all: 0.0482 (0.0495) loss_rec_sfr: 0.0523 (0.0686) loss_cl: -0.3680 (-0.3673) [05:34:55.279027] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [05:34:59.877299] Epoch: [361] [ 0/850] eta: 1:05:07 lr: 0.001490 loss: 0.0101 (0.0101) loss_rec_all: 0.0464 (0.0464) loss_rec_sfr: 0.0516 (0.0516) loss_cl: -0.3670 (-0.3670) time: 4.5972 data: 3.7425 max mem: 29859 [05:35:17.085314] Epoch: [361] [ 20/850] eta: 0:14:21 lr: 0.001490 loss: 0.0122 (0.0127) loss_rec_all: 0.0485 (0.0490) loss_rec_sfr: 0.0539 (0.0610) loss_cl: -0.3679 (-0.3678) time: 0.8603 data: 0.0002 max mem: 29859 [05:35:34.339627] Epoch: [361] [ 40/850] eta: 0:12:51 lr: 0.001490 loss: 0.0132 (0.0134) loss_rec_all: 0.0495 (0.0497) loss_rec_sfr: 0.0686 (0.0665) loss_cl: -0.3676 (-0.3677) time: 0.8626 data: 0.0002 max mem: 29859 [05:35:51.597499] Epoch: [361] [ 60/850] eta: 0:12:09 lr: 0.001489 loss: 0.0126 (0.0133) loss_rec_all: 0.0485 (0.0496) loss_rec_sfr: 0.0831 (0.0702) loss_cl: -0.3673 (-0.3675) time: 0.8628 data: 0.0003 max mem: 29859 [05:36:08.919532] Epoch: [361] [ 80/850] eta: 0:11:39 lr: 0.001489 loss: 0.0132 (0.0133) loss_rec_all: 0.0495 (0.0495) loss_rec_sfr: 0.0540 (0.0696) loss_cl: -0.3669 (-0.3673) time: 0.8660 data: 0.0003 max mem: 29859 [05:36:26.187459] Epoch: [361] [100/850] eta: 0:11:15 lr: 0.001489 loss: 0.0129 (0.0133) loss_rec_all: 0.0491 (0.0495) loss_rec_sfr: 0.0709 (0.0703) loss_cl: -0.3667 (-0.3672) time: 0.8633 data: 0.0003 max mem: 29859 [05:36:43.470691] Epoch: [361] [120/850] eta: 0:10:52 lr: 0.001489 loss: 0.0121 (0.0133) loss_rec_all: 0.0484 (0.0495) loss_rec_sfr: 0.0525 (0.0700) loss_cl: -0.3670 (-0.3671) time: 0.8641 data: 0.0002 max mem: 29859 [05:37:00.754863] Epoch: [361] [140/850] eta: 0:10:31 lr: 0.001489 loss: 0.0121 (0.0132) loss_rec_all: 0.0484 (0.0495) loss_rec_sfr: 0.0519 (0.0697) loss_cl: -0.3671 (-0.3671) time: 0.8642 data: 0.0003 max mem: 29859 [05:37:18.045603] Epoch: [361] [160/850] eta: 0:10:11 lr: 0.001489 loss: 0.0111 (0.0131) loss_rec_all: 0.0475 (0.0493) loss_rec_sfr: 0.0474 (0.0690) loss_cl: -0.3673 (-0.3671) time: 0.8645 data: 0.0002 max mem: 29859 [05:37:35.304616] Epoch: [361] [180/850] eta: 0:09:52 lr: 0.001489 loss: 0.0131 (0.0131) loss_rec_all: 0.0494 (0.0493) loss_rec_sfr: 0.0687 (0.0695) loss_cl: -0.3679 (-0.3672) time: 0.8629 data: 0.0002 max mem: 29859 [05:37:52.605405] Epoch: [361] [200/850] eta: 0:09:33 lr: 0.001489 loss: 0.0135 (0.0132) loss_rec_all: 0.0499 (0.0495) loss_rec_sfr: 0.0733 (0.0701) loss_cl: -0.3680 (-0.3673) time: 0.8650 data: 0.0002 max mem: 29859 [05:38:09.828041] Epoch: [361] [220/850] eta: 0:09:14 lr: 0.001489 loss: 0.0127 (0.0132) loss_rec_all: 0.0490 (0.0495) loss_rec_sfr: 0.0590 (0.0695) loss_cl: -0.3673 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [05:38:27.091396] Epoch: [361] [240/850] eta: 0:08:56 lr: 0.001488 loss: 0.0126 (0.0132) loss_rec_all: 0.0488 (0.0495) loss_rec_sfr: 0.0498 (0.0694) loss_cl: -0.3671 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [05:38:44.313270] Epoch: [361] [260/850] eta: 0:08:37 lr: 0.001488 loss: 0.0119 (0.0132) loss_rec_all: 0.0480 (0.0494) loss_rec_sfr: 0.0552 (0.0688) loss_cl: -0.3671 (-0.3672) time: 0.8610 data: 0.0002 max mem: 29859 [05:39:01.591497] Epoch: [361] [280/850] eta: 0:08:19 lr: 0.001488 loss: 0.0140 (0.0132) loss_rec_all: 0.0503 (0.0495) loss_rec_sfr: 0.0611 (0.0692) loss_cl: -0.3669 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [05:39:18.882171] Epoch: [361] [300/850] eta: 0:08:01 lr: 0.001488 loss: 0.0124 (0.0132) loss_rec_all: 0.0485 (0.0495) loss_rec_sfr: 0.0522 (0.0688) loss_cl: -0.3672 (-0.3672) time: 0.8645 data: 0.0003 max mem: 29859 [05:39:36.148588] Epoch: [361] [320/850] eta: 0:07:43 lr: 0.001488 loss: 0.0121 (0.0132) loss_rec_all: 0.0484 (0.0494) loss_rec_sfr: 0.0645 (0.0689) loss_cl: -0.3676 (-0.3672) time: 0.8632 data: 0.0002 max mem: 29859 [05:39:53.368977] Epoch: [361] [340/850] eta: 0:07:25 lr: 0.001488 loss: 0.0130 (0.0132) loss_rec_all: 0.0490 (0.0494) loss_rec_sfr: 0.0490 (0.0688) loss_cl: -0.3671 (-0.3672) time: 0.8610 data: 0.0002 max mem: 29859 [05:40:10.644171] Epoch: [361] [360/850] eta: 0:07:08 lr: 0.001488 loss: 0.0131 (0.0132) loss_rec_all: 0.0491 (0.0494) loss_rec_sfr: 0.0701 (0.0687) loss_cl: -0.3673 (-0.3672) time: 0.8637 data: 0.0002 max mem: 29859 [05:40:27.873127] Epoch: [361] [380/850] eta: 0:06:50 lr: 0.001488 loss: 0.0118 (0.0132) loss_rec_all: 0.0481 (0.0494) loss_rec_sfr: 0.0503 (0.0685) loss_cl: -0.3672 (-0.3672) time: 0.8614 data: 0.0002 max mem: 29859 [05:40:45.164183] Epoch: [361] [400/850] eta: 0:06:32 lr: 0.001488 loss: 0.0125 (0.0131) loss_rec_all: 0.0486 (0.0494) loss_rec_sfr: 0.0701 (0.0686) loss_cl: -0.3674 (-0.3672) time: 0.8645 data: 0.0002 max mem: 29859 [05:41:02.409241] Epoch: [361] [420/850] eta: 0:06:14 lr: 0.001487 loss: 0.0116 (0.0131) loss_rec_all: 0.0480 (0.0494) loss_rec_sfr: 0.0538 (0.0683) loss_cl: -0.3676 (-0.3672) time: 0.8622 data: 0.0002 max mem: 29859 [05:41:19.713803] Epoch: [361] [440/850] eta: 0:05:57 lr: 0.001487 loss: 0.0116 (0.0131) loss_rec_all: 0.0480 (0.0493) loss_rec_sfr: 0.0487 (0.0681) loss_cl: -0.3674 (-0.3673) time: 0.8652 data: 0.0002 max mem: 29859 [05:41:36.964842] Epoch: [361] [460/850] eta: 0:05:39 lr: 0.001487 loss: 0.0112 (0.0130) loss_rec_all: 0.0477 (0.0493) loss_rec_sfr: 0.0550 (0.0678) loss_cl: -0.3680 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [05:41:54.275101] Epoch: [361] [480/850] eta: 0:05:22 lr: 0.001487 loss: 0.0124 (0.0130) loss_rec_all: 0.0487 (0.0493) loss_rec_sfr: 0.0740 (0.0680) loss_cl: -0.3678 (-0.3673) time: 0.8655 data: 0.0002 max mem: 29859 [05:42:11.548635] Epoch: [361] [500/850] eta: 0:05:04 lr: 0.001487 loss: 0.0125 (0.0130) loss_rec_all: 0.0490 (0.0493) loss_rec_sfr: 0.0677 (0.0683) loss_cl: -0.3674 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [05:42:28.897071] Epoch: [361] [520/850] eta: 0:04:47 lr: 0.001487 loss: 0.0137 (0.0131) loss_rec_all: 0.0499 (0.0493) loss_rec_sfr: 0.0689 (0.0682) loss_cl: -0.3666 (-0.3673) time: 0.8674 data: 0.0002 max mem: 29859 [05:42:46.173691] Epoch: [361] [540/850] eta: 0:04:29 lr: 0.001487 loss: 0.0126 (0.0131) loss_rec_all: 0.0486 (0.0493) loss_rec_sfr: 0.0820 (0.0685) loss_cl: -0.3665 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [05:43:03.469491] Epoch: [361] [560/850] eta: 0:04:12 lr: 0.001487 loss: 0.0131 (0.0131) loss_rec_all: 0.0493 (0.0493) loss_rec_sfr: 0.0762 (0.0687) loss_cl: -0.3662 (-0.3672) time: 0.8647 data: 0.0002 max mem: 29859 [05:43:20.736906] Epoch: [361] [580/850] eta: 0:03:54 lr: 0.001487 loss: 0.0129 (0.0131) loss_rec_all: 0.0490 (0.0493) loss_rec_sfr: 0.0703 (0.0688) loss_cl: -0.3668 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [05:43:38.073295] Epoch: [361] [600/850] eta: 0:03:37 lr: 0.001486 loss: 0.0128 (0.0131) loss_rec_all: 0.0492 (0.0494) loss_rec_sfr: 0.0685 (0.0689) loss_cl: -0.3679 (-0.3672) time: 0.8668 data: 0.0002 max mem: 29859 [05:43:55.323897] Epoch: [361] [620/850] eta: 0:03:20 lr: 0.001486 loss: 0.0124 (0.0131) loss_rec_all: 0.0489 (0.0494) loss_rec_sfr: 0.0696 (0.0690) loss_cl: -0.3681 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [05:44:12.636328] Epoch: [361] [640/850] eta: 0:03:02 lr: 0.001486 loss: 0.0120 (0.0131) loss_rec_all: 0.0485 (0.0493) loss_rec_sfr: 0.0574 (0.0690) loss_cl: -0.3682 (-0.3673) time: 0.8656 data: 0.0002 max mem: 29859 [05:44:29.889106] Epoch: [361] [660/850] eta: 0:02:45 lr: 0.001486 loss: 0.0129 (0.0131) loss_rec_all: 0.0494 (0.0494) loss_rec_sfr: 0.0565 (0.0687) loss_cl: -0.3677 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [05:44:47.222995] Epoch: [361] [680/850] eta: 0:02:27 lr: 0.001486 loss: 0.0147 (0.0131) loss_rec_all: 0.0507 (0.0494) loss_rec_sfr: 0.0707 (0.0688) loss_cl: -0.3670 (-0.3673) time: 0.8666 data: 0.0002 max mem: 29859 [05:45:04.490136] Epoch: [361] [700/850] eta: 0:02:10 lr: 0.001486 loss: 0.0138 (0.0132) loss_rec_all: 0.0502 (0.0494) loss_rec_sfr: 0.0723 (0.0689) loss_cl: -0.3676 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [05:45:21.777536] Epoch: [361] [720/850] eta: 0:01:52 lr: 0.001486 loss: 0.0133 (0.0132) loss_rec_all: 0.0497 (0.0494) loss_rec_sfr: 0.0547 (0.0689) loss_cl: -0.3679 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [05:45:39.050067] Epoch: [361] [740/850] eta: 0:01:35 lr: 0.001486 loss: 0.0127 (0.0132) loss_rec_all: 0.0490 (0.0494) loss_rec_sfr: 0.0669 (0.0690) loss_cl: -0.3679 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [05:45:56.359896] Epoch: [361] [760/850] eta: 0:01:18 lr: 0.001485 loss: 0.0130 (0.0132) loss_rec_all: 0.0491 (0.0494) loss_rec_sfr: 0.0705 (0.0691) loss_cl: -0.3675 (-0.3673) time: 0.8654 data: 0.0004 max mem: 29859 [05:46:13.656371] Epoch: [361] [780/850] eta: 0:01:00 lr: 0.001485 loss: 0.0120 (0.0132) loss_rec_all: 0.0484 (0.0494) loss_rec_sfr: 0.0533 (0.0690) loss_cl: -0.3673 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [05:46:30.988277] Epoch: [361] [800/850] eta: 0:00:43 lr: 0.001485 loss: 0.0131 (0.0132) loss_rec_all: 0.0490 (0.0494) loss_rec_sfr: 0.0562 (0.0689) loss_cl: -0.3669 (-0.3673) time: 0.8665 data: 0.0003 max mem: 29859 [05:46:48.220416] Epoch: [361] [820/850] eta: 0:00:26 lr: 0.001485 loss: 0.0120 (0.0132) loss_rec_all: 0.0484 (0.0494) loss_rec_sfr: 0.0507 (0.0688) loss_cl: -0.3672 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [05:47:05.548875] Epoch: [361] [840/850] eta: 0:00:08 lr: 0.001485 loss: 0.0116 (0.0131) loss_rec_all: 0.0478 (0.0494) loss_rec_sfr: 0.0509 (0.0688) loss_cl: -0.3677 (-0.3673) time: 0.8664 data: 0.0006 max mem: 29859 [05:47:13.319407] Epoch: [361] [849/850] eta: 0:00:00 lr: 0.001485 loss: 0.0116 (0.0131) loss_rec_all: 0.0481 (0.0494) loss_rec_sfr: 0.0509 (0.0687) loss_cl: -0.3678 (-0.3673) time: 0.8668 data: 0.0006 max mem: 29859 [05:47:13.456679] Epoch: [361] Total time: 0:12:18 (0.8684 s / it) [05:47:13.463052] Averaged stats: lr: 0.001485 loss: 0.0116 (0.0132) loss_rec_all: 0.0481 (0.0495) loss_rec_sfr: 0.0509 (0.0689) loss_cl: -0.3678 (-0.3673) [05:47:13.474208] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [05:47:17.792519] Epoch: [362] [ 0/850] eta: 1:01:09 lr: 0.001485 loss: 0.0120 (0.0120) loss_rec_all: 0.0481 (0.0481) loss_rec_sfr: 0.0991 (0.0991) loss_cl: -0.3676 (-0.3676) time: 4.3176 data: 3.4601 max mem: 29859 [05:47:35.003733] Epoch: [362] [ 20/850] eta: 0:14:10 lr: 0.001485 loss: 0.0117 (0.0127) loss_rec_all: 0.0479 (0.0490) loss_rec_sfr: 0.0703 (0.0691) loss_cl: -0.3680 (-0.3679) time: 0.8605 data: 0.0002 max mem: 29859 [05:47:52.285344] Epoch: [362] [ 40/850] eta: 0:12:46 lr: 0.001485 loss: 0.0129 (0.0128) loss_rec_all: 0.0492 (0.0491) loss_rec_sfr: 0.0554 (0.0708) loss_cl: -0.3681 (-0.3680) time: 0.8640 data: 0.0002 max mem: 29859 [05:48:09.505667] Epoch: [362] [ 60/850] eta: 0:12:05 lr: 0.001485 loss: 0.0124 (0.0127) loss_rec_all: 0.0487 (0.0490) loss_rec_sfr: 0.0651 (0.0704) loss_cl: -0.3677 (-0.3679) time: 0.8610 data: 0.0002 max mem: 29859 [05:48:26.803814] Epoch: [362] [ 80/850] eta: 0:11:37 lr: 0.001485 loss: 0.0126 (0.0128) loss_rec_all: 0.0489 (0.0491) loss_rec_sfr: 0.0544 (0.0691) loss_cl: -0.3678 (-0.3678) time: 0.8648 data: 0.0003 max mem: 29859 [05:48:44.026368] Epoch: [362] [100/850] eta: 0:11:12 lr: 0.001484 loss: 0.0127 (0.0128) loss_rec_all: 0.0491 (0.0491) loss_rec_sfr: 0.0677 (0.0692) loss_cl: -0.3667 (-0.3676) time: 0.8611 data: 0.0002 max mem: 29859 [05:49:01.312071] Epoch: [362] [120/850] eta: 0:10:50 lr: 0.001484 loss: 0.0140 (0.0129) loss_rec_all: 0.0501 (0.0491) loss_rec_sfr: 0.0687 (0.0694) loss_cl: -0.3667 (-0.3675) time: 0.8642 data: 0.0003 max mem: 29859 [05:49:18.601893] Epoch: [362] [140/850] eta: 0:10:30 lr: 0.001484 loss: 0.0126 (0.0130) loss_rec_all: 0.0490 (0.0492) loss_rec_sfr: 0.0501 (0.0679) loss_cl: -0.3668 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [05:49:35.867768] Epoch: [362] [160/850] eta: 0:10:10 lr: 0.001484 loss: 0.0115 (0.0129) loss_rec_all: 0.0478 (0.0492) loss_rec_sfr: 0.0478 (0.0672) loss_cl: -0.3672 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [05:49:53.114979] Epoch: [362] [180/850] eta: 0:09:50 lr: 0.001484 loss: 0.0114 (0.0129) loss_rec_all: 0.0478 (0.0491) loss_rec_sfr: 0.0484 (0.0671) loss_cl: -0.3675 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [05:50:10.469350] Epoch: [362] [200/850] eta: 0:09:32 lr: 0.001484 loss: 0.0118 (0.0128) loss_rec_all: 0.0482 (0.0491) loss_rec_sfr: 0.0500 (0.0671) loss_cl: -0.3676 (-0.3674) time: 0.8676 data: 0.0002 max mem: 29859 [05:50:27.721535] Epoch: [362] [220/850] eta: 0:09:13 lr: 0.001484 loss: 0.0127 (0.0129) loss_rec_all: 0.0490 (0.0491) loss_rec_sfr: 0.0694 (0.0676) loss_cl: -0.3675 (-0.3674) time: 0.8626 data: 0.0002 max mem: 29859 [05:50:45.036431] Epoch: [362] [240/850] eta: 0:08:55 lr: 0.001484 loss: 0.0118 (0.0128) loss_rec_all: 0.0482 (0.0491) loss_rec_sfr: 0.0483 (0.0669) loss_cl: -0.3672 (-0.3674) time: 0.8657 data: 0.0003 max mem: 29859 [05:51:02.266749] Epoch: [362] [260/850] eta: 0:08:37 lr: 0.001484 loss: 0.0127 (0.0129) loss_rec_all: 0.0488 (0.0492) loss_rec_sfr: 0.0718 (0.0675) loss_cl: -0.3665 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [05:51:19.551464] Epoch: [362] [280/850] eta: 0:08:19 lr: 0.001483 loss: 0.0126 (0.0129) loss_rec_all: 0.0489 (0.0492) loss_rec_sfr: 0.0494 (0.0673) loss_cl: -0.3671 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [05:51:36.805311] Epoch: [362] [300/850] eta: 0:08:01 lr: 0.001483 loss: 0.0128 (0.0129) loss_rec_all: 0.0493 (0.0492) loss_rec_sfr: 0.0520 (0.0671) loss_cl: -0.3676 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [05:51:54.076620] Epoch: [362] [320/850] eta: 0:07:43 lr: 0.001483 loss: 0.0127 (0.0129) loss_rec_all: 0.0491 (0.0491) loss_rec_sfr: 0.0682 (0.0675) loss_cl: -0.3674 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [05:52:11.375659] Epoch: [362] [340/850] eta: 0:07:25 lr: 0.001483 loss: 0.0121 (0.0129) loss_rec_all: 0.0486 (0.0492) loss_rec_sfr: 0.0731 (0.0679) loss_cl: -0.3671 (-0.3673) time: 0.8649 data: 0.0003 max mem: 29859 [05:52:28.640034] Epoch: [362] [360/850] eta: 0:07:07 lr: 0.001483 loss: 0.0132 (0.0129) loss_rec_all: 0.0494 (0.0492) loss_rec_sfr: 0.0533 (0.0678) loss_cl: -0.3674 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [05:52:45.892603] Epoch: [362] [380/850] eta: 0:06:50 lr: 0.001483 loss: 0.0118 (0.0129) loss_rec_all: 0.0483 (0.0491) loss_rec_sfr: 0.0530 (0.0679) loss_cl: -0.3677 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [05:53:03.247277] Epoch: [362] [400/850] eta: 0:06:32 lr: 0.001483 loss: 0.0139 (0.0130) loss_rec_all: 0.0501 (0.0492) loss_rec_sfr: 0.0699 (0.0680) loss_cl: -0.3679 (-0.3674) time: 0.8677 data: 0.0002 max mem: 29859 [05:53:20.493200] Epoch: [362] [420/850] eta: 0:06:14 lr: 0.001483 loss: 0.0125 (0.0130) loss_rec_all: 0.0487 (0.0492) loss_rec_sfr: 0.0537 (0.0679) loss_cl: -0.3679 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [05:53:37.829222] Epoch: [362] [440/850] eta: 0:05:57 lr: 0.001482 loss: 0.0126 (0.0130) loss_rec_all: 0.0487 (0.0492) loss_rec_sfr: 0.0500 (0.0679) loss_cl: -0.3671 (-0.3674) time: 0.8667 data: 0.0002 max mem: 29859 [05:53:55.068043] Epoch: [362] [460/850] eta: 0:05:39 lr: 0.001482 loss: 0.0124 (0.0130) loss_rec_all: 0.0485 (0.0492) loss_rec_sfr: 0.0538 (0.0679) loss_cl: -0.3667 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [05:54:12.362389] Epoch: [362] [480/850] eta: 0:05:22 lr: 0.001482 loss: 0.0119 (0.0130) loss_rec_all: 0.0484 (0.0492) loss_rec_sfr: 0.0521 (0.0680) loss_cl: -0.3670 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [05:54:29.612110] Epoch: [362] [500/850] eta: 0:05:04 lr: 0.001482 loss: 0.0122 (0.0129) loss_rec_all: 0.0487 (0.0492) loss_rec_sfr: 0.0526 (0.0678) loss_cl: -0.3673 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [05:54:46.890106] Epoch: [362] [520/850] eta: 0:04:47 lr: 0.001482 loss: 0.0124 (0.0129) loss_rec_all: 0.0484 (0.0492) loss_rec_sfr: 0.0518 (0.0677) loss_cl: -0.3671 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [05:55:04.154776] Epoch: [362] [540/850] eta: 0:04:29 lr: 0.001482 loss: 0.0130 (0.0129) loss_rec_all: 0.0491 (0.0492) loss_rec_sfr: 0.0562 (0.0678) loss_cl: -0.3673 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [05:55:21.430310] Epoch: [362] [560/850] eta: 0:04:12 lr: 0.001482 loss: 0.0121 (0.0130) loss_rec_all: 0.0484 (0.0492) loss_rec_sfr: 0.0518 (0.0677) loss_cl: -0.3678 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [05:55:38.710631] Epoch: [362] [580/850] eta: 0:03:54 lr: 0.001482 loss: 0.0126 (0.0130) loss_rec_all: 0.0490 (0.0492) loss_rec_sfr: 0.0535 (0.0677) loss_cl: -0.3679 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [05:55:56.075838] Epoch: [362] [600/850] eta: 0:03:37 lr: 0.001482 loss: 0.0121 (0.0130) loss_rec_all: 0.0485 (0.0492) loss_rec_sfr: 0.0499 (0.0675) loss_cl: -0.3682 (-0.3674) time: 0.8682 data: 0.0010 max mem: 29859 [05:56:13.321474] Epoch: [362] [620/850] eta: 0:03:19 lr: 0.001481 loss: 0.0135 (0.0130) loss_rec_all: 0.0498 (0.0492) loss_rec_sfr: 0.0637 (0.0676) loss_cl: -0.3682 (-0.3674) time: 0.8622 data: 0.0005 max mem: 29859 [05:56:30.628914] Epoch: [362] [640/850] eta: 0:03:02 lr: 0.001481 loss: 0.0129 (0.0130) loss_rec_all: 0.0494 (0.0493) loss_rec_sfr: 0.0737 (0.0677) loss_cl: -0.3678 (-0.3674) time: 0.8653 data: 0.0002 max mem: 29859 [05:56:47.893588] Epoch: [362] [660/850] eta: 0:02:45 lr: 0.001481 loss: 0.0124 (0.0130) loss_rec_all: 0.0486 (0.0493) loss_rec_sfr: 0.0691 (0.0677) loss_cl: -0.3670 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [05:57:05.202163] Epoch: [362] [680/850] eta: 0:02:27 lr: 0.001481 loss: 0.0115 (0.0130) loss_rec_all: 0.0477 (0.0493) loss_rec_sfr: 0.0493 (0.0675) loss_cl: -0.3664 (-0.3674) time: 0.8654 data: 0.0002 max mem: 29859 [05:57:22.452844] Epoch: [362] [700/850] eta: 0:02:10 lr: 0.001481 loss: 0.0128 (0.0130) loss_rec_all: 0.0490 (0.0493) loss_rec_sfr: 0.0753 (0.0678) loss_cl: -0.3666 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [05:57:39.724315] Epoch: [362] [720/850] eta: 0:01:52 lr: 0.001481 loss: 0.0124 (0.0130) loss_rec_all: 0.0487 (0.0493) loss_rec_sfr: 0.0530 (0.0678) loss_cl: -0.3663 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [05:57:57.000461] Epoch: [362] [740/850] eta: 0:01:35 lr: 0.001481 loss: 0.0129 (0.0130) loss_rec_all: 0.0490 (0.0493) loss_rec_sfr: 0.0550 (0.0679) loss_cl: -0.3668 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [05:58:14.265840] Epoch: [362] [760/850] eta: 0:01:18 lr: 0.001481 loss: 0.0127 (0.0130) loss_rec_all: 0.0489 (0.0493) loss_rec_sfr: 0.0552 (0.0679) loss_cl: -0.3673 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [05:58:31.514257] Epoch: [362] [780/850] eta: 0:01:00 lr: 0.001481 loss: 0.0130 (0.0130) loss_rec_all: 0.0492 (0.0493) loss_rec_sfr: 0.0780 (0.0681) loss_cl: -0.3675 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [05:58:48.882635] Epoch: [362] [800/850] eta: 0:00:43 lr: 0.001480 loss: 0.0127 (0.0130) loss_rec_all: 0.0491 (0.0493) loss_rec_sfr: 0.0541 (0.0682) loss_cl: -0.3672 (-0.3673) time: 0.8684 data: 0.0003 max mem: 29859 [05:59:06.111162] Epoch: [362] [820/850] eta: 0:00:26 lr: 0.001480 loss: 0.0113 (0.0130) loss_rec_all: 0.0477 (0.0493) loss_rec_sfr: 0.0535 (0.0682) loss_cl: -0.3675 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [05:59:23.402618] Epoch: [362] [840/850] eta: 0:00:08 lr: 0.001480 loss: 0.0123 (0.0130) loss_rec_all: 0.0488 (0.0493) loss_rec_sfr: 0.0520 (0.0682) loss_cl: -0.3680 (-0.3673) time: 0.8645 data: 0.0005 max mem: 29859 [05:59:31.195374] Epoch: [362] [849/850] eta: 0:00:00 lr: 0.001480 loss: 0.0124 (0.0130) loss_rec_all: 0.0488 (0.0493) loss_rec_sfr: 0.0516 (0.0681) loss_cl: -0.3680 (-0.3673) time: 0.8661 data: 0.0005 max mem: 29859 [05:59:31.328765] Epoch: [362] Total time: 0:12:17 (0.8681 s / it) [05:59:31.341216] Averaged stats: lr: 0.001480 loss: 0.0124 (0.0131) loss_rec_all: 0.0488 (0.0493) loss_rec_sfr: 0.0516 (0.0687) loss_cl: -0.3680 (-0.3673) [05:59:31.352875] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [05:59:35.457213] Epoch: [363] [ 0/850] eta: 0:58:08 lr: 0.001480 loss: 0.0161 (0.0161) loss_rec_all: 0.0524 (0.0524) loss_rec_sfr: 0.0719 (0.0719) loss_cl: -0.3681 (-0.3681) time: 4.1036 data: 3.2468 max mem: 29859 [05:59:52.640696] Epoch: [363] [ 20/850] eta: 0:14:01 lr: 0.001480 loss: 0.0129 (0.0133) loss_rec_all: 0.0492 (0.0496) loss_rec_sfr: 0.0637 (0.0672) loss_cl: -0.3681 (-0.3681) time: 0.8591 data: 0.0002 max mem: 29859 [06:00:09.906734] Epoch: [363] [ 40/850] eta: 0:12:41 lr: 0.001480 loss: 0.0141 (0.0136) loss_rec_all: 0.0504 (0.0499) loss_rec_sfr: 0.0747 (0.0716) loss_cl: -0.3679 (-0.3680) time: 0.8632 data: 0.0002 max mem: 29859 [06:00:27.179604] Epoch: [363] [ 60/850] eta: 0:12:02 lr: 0.001480 loss: 0.0127 (0.0134) loss_rec_all: 0.0492 (0.0497) loss_rec_sfr: 0.0538 (0.0702) loss_cl: -0.3674 (-0.3678) time: 0.8636 data: 0.0002 max mem: 29859 [06:00:44.458377] Epoch: [363] [ 80/850] eta: 0:11:34 lr: 0.001480 loss: 0.0130 (0.0134) loss_rec_all: 0.0489 (0.0497) loss_rec_sfr: 0.0690 (0.0702) loss_cl: -0.3668 (-0.3676) time: 0.8639 data: 0.0002 max mem: 29859 [06:01:01.702122] Epoch: [363] [100/850] eta: 0:11:10 lr: 0.001480 loss: 0.0126 (0.0133) loss_rec_all: 0.0487 (0.0496) loss_rec_sfr: 0.0533 (0.0703) loss_cl: -0.3669 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [06:01:19.004643] Epoch: [363] [120/850] eta: 0:10:49 lr: 0.001479 loss: 0.0142 (0.0135) loss_rec_all: 0.0502 (0.0498) loss_rec_sfr: 0.0810 (0.0728) loss_cl: -0.3672 (-0.3674) time: 0.8650 data: 0.0003 max mem: 29859 [06:01:36.248727] Epoch: [363] [140/850] eta: 0:10:28 lr: 0.001479 loss: 0.0126 (0.0135) loss_rec_all: 0.0491 (0.0497) loss_rec_sfr: 0.0534 (0.0716) loss_cl: -0.3676 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [06:01:53.548607] Epoch: [363] [160/850] eta: 0:10:09 lr: 0.001479 loss: 0.0121 (0.0134) loss_rec_all: 0.0485 (0.0497) loss_rec_sfr: 0.0681 (0.0708) loss_cl: -0.3683 (-0.3675) time: 0.8649 data: 0.0002 max mem: 29859 [06:02:10.832693] Epoch: [363] [180/850] eta: 0:09:50 lr: 0.001479 loss: 0.0134 (0.0134) loss_rec_all: 0.0498 (0.0497) loss_rec_sfr: 0.0675 (0.0709) loss_cl: -0.3679 (-0.3676) time: 0.8641 data: 0.0004 max mem: 29859 [06:02:28.115351] Epoch: [363] [200/850] eta: 0:09:31 lr: 0.001479 loss: 0.0118 (0.0133) loss_rec_all: 0.0480 (0.0496) loss_rec_sfr: 0.0679 (0.0705) loss_cl: -0.3682 (-0.3676) time: 0.8641 data: 0.0002 max mem: 29859 [06:02:45.349489] Epoch: [363] [220/850] eta: 0:09:12 lr: 0.001479 loss: 0.0127 (0.0133) loss_rec_all: 0.0489 (0.0496) loss_rec_sfr: 0.0679 (0.0705) loss_cl: -0.3678 (-0.3676) time: 0.8617 data: 0.0002 max mem: 29859 [06:03:02.636177] Epoch: [363] [240/850] eta: 0:08:54 lr: 0.001479 loss: 0.0136 (0.0133) loss_rec_all: 0.0496 (0.0496) loss_rec_sfr: 0.0855 (0.0717) loss_cl: -0.3673 (-0.3676) time: 0.8643 data: 0.0002 max mem: 29859 [06:03:19.860611] Epoch: [363] [260/850] eta: 0:08:36 lr: 0.001479 loss: 0.0119 (0.0133) loss_rec_all: 0.0482 (0.0495) loss_rec_sfr: 0.0550 (0.0710) loss_cl: -0.3668 (-0.3675) time: 0.8612 data: 0.0002 max mem: 29859 [06:03:37.140518] Epoch: [363] [280/850] eta: 0:08:18 lr: 0.001479 loss: 0.0117 (0.0132) loss_rec_all: 0.0480 (0.0495) loss_rec_sfr: 0.0485 (0.0701) loss_cl: -0.3663 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [06:03:54.378002] Epoch: [363] [300/850] eta: 0:08:00 lr: 0.001478 loss: 0.0118 (0.0132) loss_rec_all: 0.0481 (0.0494) loss_rec_sfr: 0.0513 (0.0699) loss_cl: -0.3665 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [06:04:11.662840] Epoch: [363] [320/850] eta: 0:07:42 lr: 0.001478 loss: 0.0121 (0.0131) loss_rec_all: 0.0485 (0.0494) loss_rec_sfr: 0.0530 (0.0698) loss_cl: -0.3668 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [06:04:28.894784] Epoch: [363] [340/850] eta: 0:07:24 lr: 0.001478 loss: 0.0128 (0.0131) loss_rec_all: 0.0489 (0.0494) loss_rec_sfr: 0.0685 (0.0698) loss_cl: -0.3676 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [06:04:46.182343] Epoch: [363] [360/850] eta: 0:07:07 lr: 0.001478 loss: 0.0132 (0.0131) loss_rec_all: 0.0498 (0.0494) loss_rec_sfr: 0.0570 (0.0697) loss_cl: -0.3684 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [06:05:03.422015] Epoch: [363] [380/850] eta: 0:06:49 lr: 0.001478 loss: 0.0120 (0.0131) loss_rec_all: 0.0485 (0.0494) loss_rec_sfr: 0.0506 (0.0695) loss_cl: -0.3678 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [06:05:20.709285] Epoch: [363] [400/850] eta: 0:06:32 lr: 0.001478 loss: 0.0129 (0.0131) loss_rec_all: 0.0492 (0.0494) loss_rec_sfr: 0.0600 (0.0694) loss_cl: -0.3673 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [06:05:38.022031] Epoch: [363] [420/850] eta: 0:06:14 lr: 0.001478 loss: 0.0120 (0.0131) loss_rec_all: 0.0480 (0.0493) loss_rec_sfr: 0.0707 (0.0696) loss_cl: -0.3671 (-0.3674) time: 0.8656 data: 0.0002 max mem: 29859 [06:05:55.342150] Epoch: [363] [440/850] eta: 0:05:56 lr: 0.001478 loss: 0.0132 (0.0131) loss_rec_all: 0.0492 (0.0493) loss_rec_sfr: 0.0704 (0.0698) loss_cl: -0.3669 (-0.3674) time: 0.8660 data: 0.0002 max mem: 29859 [06:06:12.572576] Epoch: [363] [460/850] eta: 0:05:39 lr: 0.001478 loss: 0.0128 (0.0131) loss_rec_all: 0.0491 (0.0493) loss_rec_sfr: 0.0664 (0.0697) loss_cl: -0.3667 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [06:06:29.865724] Epoch: [363] [480/850] eta: 0:05:21 lr: 0.001477 loss: 0.0123 (0.0131) loss_rec_all: 0.0486 (0.0493) loss_rec_sfr: 0.0530 (0.0695) loss_cl: -0.3671 (-0.3673) time: 0.8646 data: 0.0003 max mem: 29859 [06:06:47.099830] Epoch: [363] [500/850] eta: 0:05:04 lr: 0.001477 loss: 0.0128 (0.0131) loss_rec_all: 0.0490 (0.0493) loss_rec_sfr: 0.0520 (0.0694) loss_cl: -0.3673 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [06:07:04.407736] Epoch: [363] [520/850] eta: 0:04:46 lr: 0.001477 loss: 0.0116 (0.0131) loss_rec_all: 0.0480 (0.0493) loss_rec_sfr: 0.0498 (0.0689) loss_cl: -0.3673 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [06:07:21.637302] Epoch: [363] [540/850] eta: 0:04:29 lr: 0.001477 loss: 0.0124 (0.0131) loss_rec_all: 0.0487 (0.0493) loss_rec_sfr: 0.0556 (0.0689) loss_cl: -0.3677 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [06:07:38.905507] Epoch: [363] [560/850] eta: 0:04:12 lr: 0.001477 loss: 0.0121 (0.0131) loss_rec_all: 0.0483 (0.0493) loss_rec_sfr: 0.0723 (0.0690) loss_cl: -0.3675 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [06:07:56.150373] Epoch: [363] [580/850] eta: 0:03:54 lr: 0.001477 loss: 0.0128 (0.0131) loss_rec_all: 0.0488 (0.0493) loss_rec_sfr: 0.0665 (0.0689) loss_cl: -0.3674 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [06:08:13.436829] Epoch: [363] [600/850] eta: 0:03:37 lr: 0.001477 loss: 0.0128 (0.0131) loss_rec_all: 0.0492 (0.0493) loss_rec_sfr: 0.0681 (0.0688) loss_cl: -0.3678 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [06:08:30.699662] Epoch: [363] [620/850] eta: 0:03:19 lr: 0.001477 loss: 0.0112 (0.0130) loss_rec_all: 0.0476 (0.0493) loss_rec_sfr: 0.0487 (0.0685) loss_cl: -0.3677 (-0.3673) time: 0.8630 data: 0.0003 max mem: 29859 [06:08:47.982028] Epoch: [363] [640/850] eta: 0:03:02 lr: 0.001477 loss: 0.0135 (0.0130) loss_rec_all: 0.0497 (0.0493) loss_rec_sfr: 0.0691 (0.0686) loss_cl: -0.3678 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [06:09:05.207310] Epoch: [363] [660/850] eta: 0:02:44 lr: 0.001476 loss: 0.0122 (0.0130) loss_rec_all: 0.0487 (0.0493) loss_rec_sfr: 0.0487 (0.0683) loss_cl: -0.3678 (-0.3674) time: 0.8612 data: 0.0002 max mem: 29859 [06:09:22.504057] Epoch: [363] [680/850] eta: 0:02:27 lr: 0.001476 loss: 0.0145 (0.0131) loss_rec_all: 0.0506 (0.0493) loss_rec_sfr: 0.0762 (0.0685) loss_cl: -0.3678 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [06:09:39.737881] Epoch: [363] [700/850] eta: 0:02:10 lr: 0.001476 loss: 0.0139 (0.0131) loss_rec_all: 0.0500 (0.0493) loss_rec_sfr: 0.0619 (0.0686) loss_cl: -0.3670 (-0.3674) time: 0.8616 data: 0.0002 max mem: 29859 [06:09:57.002045] Epoch: [363] [720/850] eta: 0:01:52 lr: 0.001476 loss: 0.0127 (0.0131) loss_rec_all: 0.0487 (0.0494) loss_rec_sfr: 0.0567 (0.0685) loss_cl: -0.3672 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [06:10:14.241708] Epoch: [363] [740/850] eta: 0:01:35 lr: 0.001476 loss: 0.0117 (0.0131) loss_rec_all: 0.0480 (0.0494) loss_rec_sfr: 0.0545 (0.0685) loss_cl: -0.3676 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [06:10:31.509029] Epoch: [363] [760/850] eta: 0:01:18 lr: 0.001476 loss: 0.0119 (0.0131) loss_rec_all: 0.0483 (0.0493) loss_rec_sfr: 0.0503 (0.0684) loss_cl: -0.3676 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [06:10:48.746101] Epoch: [363] [780/850] eta: 0:01:00 lr: 0.001476 loss: 0.0125 (0.0131) loss_rec_all: 0.0488 (0.0494) loss_rec_sfr: 0.0732 (0.0686) loss_cl: -0.3670 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [06:11:06.026320] Epoch: [363] [800/850] eta: 0:00:43 lr: 0.001476 loss: 0.0135 (0.0131) loss_rec_all: 0.0498 (0.0494) loss_rec_sfr: 0.0507 (0.0685) loss_cl: -0.3672 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [06:11:23.276400] Epoch: [363] [820/850] eta: 0:00:26 lr: 0.001476 loss: 0.0125 (0.0131) loss_rec_all: 0.0490 (0.0494) loss_rec_sfr: 0.0500 (0.0686) loss_cl: -0.3669 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [06:11:40.550811] Epoch: [363] [840/850] eta: 0:00:08 lr: 0.001475 loss: 0.0125 (0.0131) loss_rec_all: 0.0489 (0.0494) loss_rec_sfr: 0.0519 (0.0685) loss_cl: -0.3675 (-0.3674) time: 0.8637 data: 0.0006 max mem: 29859 [06:11:48.311904] Epoch: [363] [849/850] eta: 0:00:00 lr: 0.001475 loss: 0.0129 (0.0132) loss_rec_all: 0.0492 (0.0494) loss_rec_sfr: 0.0700 (0.0686) loss_cl: -0.3676 (-0.3674) time: 0.8635 data: 0.0005 max mem: 29859 [06:11:48.458856] Epoch: [363] Total time: 0:12:17 (0.8672 s / it) [06:11:48.460943] Averaged stats: lr: 0.001475 loss: 0.0129 (0.0131) loss_rec_all: 0.0492 (0.0494) loss_rec_sfr: 0.0700 (0.0685) loss_cl: -0.3676 (-0.3674) [06:11:48.469411] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [06:11:52.550286] Epoch: [364] [ 0/850] eta: 0:57:48 lr: 0.001475 loss: 0.0091 (0.0091) loss_rec_all: 0.0456 (0.0456) loss_rec_sfr: 0.0432 (0.0432) loss_cl: -0.3679 (-0.3679) time: 4.0802 data: 3.1626 max mem: 29859 [06:12:09.795612] Epoch: [364] [ 20/850] eta: 0:14:02 lr: 0.001475 loss: 0.0129 (0.0136) loss_rec_all: 0.0492 (0.0499) loss_rec_sfr: 0.0697 (0.0693) loss_cl: -0.3679 (-0.3679) time: 0.8622 data: 0.0002 max mem: 29859 [06:12:27.059732] Epoch: [364] [ 40/850] eta: 0:12:42 lr: 0.001475 loss: 0.0125 (0.0132) loss_rec_all: 0.0487 (0.0495) loss_rec_sfr: 0.0675 (0.0702) loss_cl: -0.3677 (-0.3678) time: 0.8632 data: 0.0002 max mem: 29859 [06:12:44.290899] Epoch: [364] [ 60/850] eta: 0:12:02 lr: 0.001475 loss: 0.0117 (0.0130) loss_rec_all: 0.0480 (0.0493) loss_rec_sfr: 0.0519 (0.0683) loss_cl: -0.3676 (-0.3677) time: 0.8615 data: 0.0002 max mem: 29859 [06:13:01.570208] Epoch: [364] [ 80/850] eta: 0:11:34 lr: 0.001475 loss: 0.0119 (0.0128) loss_rec_all: 0.0484 (0.0491) loss_rec_sfr: 0.0665 (0.0693) loss_cl: -0.3677 (-0.3677) time: 0.8639 data: 0.0002 max mem: 29859 [06:13:18.813501] Epoch: [364] [100/850] eta: 0:11:10 lr: 0.001475 loss: 0.0129 (0.0129) loss_rec_all: 0.0491 (0.0491) loss_rec_sfr: 0.0565 (0.0697) loss_cl: -0.3674 (-0.3676) time: 0.8621 data: 0.0002 max mem: 29859 [06:13:36.118477] Epoch: [364] [120/850] eta: 0:10:49 lr: 0.001475 loss: 0.0148 (0.0132) loss_rec_all: 0.0512 (0.0495) loss_rec_sfr: 0.0736 (0.0715) loss_cl: -0.3670 (-0.3675) time: 0.8652 data: 0.0002 max mem: 29859 [06:13:53.350290] Epoch: [364] [140/850] eta: 0:10:28 lr: 0.001475 loss: 0.0129 (0.0132) loss_rec_all: 0.0491 (0.0495) loss_rec_sfr: 0.0608 (0.0719) loss_cl: -0.3670 (-0.3675) time: 0.8615 data: 0.0002 max mem: 29859 [06:14:10.640395] Epoch: [364] [160/850] eta: 0:10:09 lr: 0.001474 loss: 0.0133 (0.0134) loss_rec_all: 0.0497 (0.0496) loss_rec_sfr: 0.0687 (0.0721) loss_cl: -0.3678 (-0.3675) time: 0.8644 data: 0.0002 max mem: 29859 [06:14:27.876507] Epoch: [364] [180/850] eta: 0:09:50 lr: 0.001474 loss: 0.0122 (0.0133) loss_rec_all: 0.0487 (0.0496) loss_rec_sfr: 0.0545 (0.0708) loss_cl: -0.3676 (-0.3675) time: 0.8618 data: 0.0002 max mem: 29859 [06:14:45.158943] Epoch: [364] [200/850] eta: 0:09:31 lr: 0.001474 loss: 0.0123 (0.0133) loss_rec_all: 0.0488 (0.0495) loss_rec_sfr: 0.0539 (0.0705) loss_cl: -0.3673 (-0.3675) time: 0.8641 data: 0.0002 max mem: 29859 [06:15:02.458494] Epoch: [364] [220/850] eta: 0:09:12 lr: 0.001474 loss: 0.0139 (0.0133) loss_rec_all: 0.0500 (0.0496) loss_rec_sfr: 0.0713 (0.0712) loss_cl: -0.3673 (-0.3674) time: 0.8649 data: 0.0004 max mem: 29859 [06:15:19.736544] Epoch: [364] [240/850] eta: 0:08:54 lr: 0.001474 loss: 0.0121 (0.0132) loss_rec_all: 0.0482 (0.0494) loss_rec_sfr: 0.0532 (0.0711) loss_cl: -0.3670 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [06:15:36.998004] Epoch: [364] [260/850] eta: 0:08:36 lr: 0.001474 loss: 0.0129 (0.0131) loss_rec_all: 0.0491 (0.0494) loss_rec_sfr: 0.0510 (0.0707) loss_cl: -0.3671 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [06:15:54.306145] Epoch: [364] [280/850] eta: 0:08:18 lr: 0.001474 loss: 0.0114 (0.0131) loss_rec_all: 0.0479 (0.0493) loss_rec_sfr: 0.0534 (0.0704) loss_cl: -0.3678 (-0.3674) time: 0.8654 data: 0.0002 max mem: 29859 [06:16:11.553415] Epoch: [364] [300/850] eta: 0:08:00 lr: 0.001474 loss: 0.0123 (0.0130) loss_rec_all: 0.0485 (0.0493) loss_rec_sfr: 0.0737 (0.0705) loss_cl: -0.3681 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [06:16:28.840531] Epoch: [364] [320/850] eta: 0:07:42 lr: 0.001473 loss: 0.0124 (0.0130) loss_rec_all: 0.0487 (0.0492) loss_rec_sfr: 0.0703 (0.0704) loss_cl: -0.3680 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [06:16:46.074900] Epoch: [364] [340/850] eta: 0:07:25 lr: 0.001473 loss: 0.0127 (0.0130) loss_rec_all: 0.0488 (0.0492) loss_rec_sfr: 0.0695 (0.0707) loss_cl: -0.3674 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [06:17:03.416666] Epoch: [364] [360/850] eta: 0:07:07 lr: 0.001473 loss: 0.0114 (0.0129) loss_rec_all: 0.0475 (0.0492) loss_rec_sfr: 0.0739 (0.0708) loss_cl: -0.3669 (-0.3674) time: 0.8670 data: 0.0003 max mem: 29859 [06:17:20.654284] Epoch: [364] [380/850] eta: 0:06:49 lr: 0.001473 loss: 0.0124 (0.0129) loss_rec_all: 0.0488 (0.0491) loss_rec_sfr: 0.0518 (0.0704) loss_cl: -0.3667 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [06:17:37.961202] Epoch: [364] [400/850] eta: 0:06:32 lr: 0.001473 loss: 0.0138 (0.0129) loss_rec_all: 0.0500 (0.0492) loss_rec_sfr: 0.0695 (0.0703) loss_cl: -0.3668 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [06:17:55.221721] Epoch: [364] [420/850] eta: 0:06:14 lr: 0.001473 loss: 0.0126 (0.0129) loss_rec_all: 0.0490 (0.0492) loss_rec_sfr: 0.0532 (0.0699) loss_cl: -0.3674 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [06:18:12.492015] Epoch: [364] [440/850] eta: 0:05:57 lr: 0.001473 loss: 0.0125 (0.0130) loss_rec_all: 0.0488 (0.0492) loss_rec_sfr: 0.0542 (0.0696) loss_cl: -0.3679 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [06:18:29.773410] Epoch: [364] [460/850] eta: 0:05:39 lr: 0.001473 loss: 0.0135 (0.0130) loss_rec_all: 0.0499 (0.0493) loss_rec_sfr: 0.0526 (0.0694) loss_cl: -0.3680 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [06:18:47.057469] Epoch: [364] [480/850] eta: 0:05:21 lr: 0.001473 loss: 0.0122 (0.0130) loss_rec_all: 0.0486 (0.0493) loss_rec_sfr: 0.0556 (0.0694) loss_cl: -0.3677 (-0.3674) time: 0.8642 data: 0.0002 max mem: 29859 [06:19:04.300489] Epoch: [364] [500/850] eta: 0:05:04 lr: 0.001472 loss: 0.0122 (0.0130) loss_rec_all: 0.0484 (0.0493) loss_rec_sfr: 0.0537 (0.0691) loss_cl: -0.3673 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [06:19:21.626049] Epoch: [364] [520/850] eta: 0:04:47 lr: 0.001472 loss: 0.0133 (0.0130) loss_rec_all: 0.0496 (0.0493) loss_rec_sfr: 0.0569 (0.0690) loss_cl: -0.3670 (-0.3674) time: 0.8662 data: 0.0003 max mem: 29859 [06:19:38.860914] Epoch: [364] [540/850] eta: 0:04:29 lr: 0.001472 loss: 0.0145 (0.0131) loss_rec_all: 0.0506 (0.0494) loss_rec_sfr: 0.0745 (0.0692) loss_cl: -0.3669 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [06:19:56.165566] Epoch: [364] [560/850] eta: 0:04:12 lr: 0.001472 loss: 0.0153 (0.0133) loss_rec_all: 0.0517 (0.0495) loss_rec_sfr: 0.0525 (0.0691) loss_cl: -0.3671 (-0.3673) time: 0.8652 data: 0.0002 max mem: 29859 [06:20:13.418918] Epoch: [364] [580/850] eta: 0:03:54 lr: 0.001472 loss: 0.0148 (0.0134) loss_rec_all: 0.0511 (0.0496) loss_rec_sfr: 0.0787 (0.0694) loss_cl: -0.3679 (-0.3674) time: 0.8626 data: 0.0002 max mem: 29859 [06:20:30.739099] Epoch: [364] [600/850] eta: 0:03:37 lr: 0.001472 loss: 0.0149 (0.0135) loss_rec_all: 0.0512 (0.0497) loss_rec_sfr: 0.0793 (0.0696) loss_cl: -0.3676 (-0.3674) time: 0.8659 data: 0.0003 max mem: 29859 [06:20:47.995037] Epoch: [364] [620/850] eta: 0:03:19 lr: 0.001472 loss: 0.0128 (0.0135) loss_rec_all: 0.0491 (0.0497) loss_rec_sfr: 0.0516 (0.0694) loss_cl: -0.3675 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [06:21:05.270757] Epoch: [364] [640/850] eta: 0:03:02 lr: 0.001472 loss: 0.0134 (0.0135) loss_rec_all: 0.0498 (0.0497) loss_rec_sfr: 0.0544 (0.0693) loss_cl: -0.3677 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [06:21:22.582482] Epoch: [364] [660/850] eta: 0:02:45 lr: 0.001472 loss: 0.0118 (0.0134) loss_rec_all: 0.0482 (0.0497) loss_rec_sfr: 0.0508 (0.0689) loss_cl: -0.3674 (-0.3674) time: 0.8655 data: 0.0003 max mem: 29859 [06:21:39.846930] Epoch: [364] [680/850] eta: 0:02:27 lr: 0.001471 loss: 0.0131 (0.0134) loss_rec_all: 0.0493 (0.0497) loss_rec_sfr: 0.0704 (0.0691) loss_cl: -0.3673 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [06:21:57.074019] Epoch: [364] [700/850] eta: 0:02:10 lr: 0.001471 loss: 0.0130 (0.0134) loss_rec_all: 0.0493 (0.0497) loss_rec_sfr: 0.0696 (0.0691) loss_cl: -0.3675 (-0.3674) time: 0.8613 data: 0.0002 max mem: 29859 [06:22:14.388626] Epoch: [364] [720/850] eta: 0:01:52 lr: 0.001471 loss: 0.0127 (0.0134) loss_rec_all: 0.0490 (0.0497) loss_rec_sfr: 0.0708 (0.0691) loss_cl: -0.3674 (-0.3674) time: 0.8657 data: 0.0002 max mem: 29859 [06:22:31.623039] Epoch: [364] [740/850] eta: 0:01:35 lr: 0.001471 loss: 0.0131 (0.0134) loss_rec_all: 0.0492 (0.0497) loss_rec_sfr: 0.0522 (0.0691) loss_cl: -0.3671 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [06:22:48.912456] Epoch: [364] [760/850] eta: 0:01:18 lr: 0.001471 loss: 0.0126 (0.0134) loss_rec_all: 0.0489 (0.0496) loss_rec_sfr: 0.0526 (0.0690) loss_cl: -0.3671 (-0.3674) time: 0.8644 data: 0.0002 max mem: 29859 [06:23:06.119401] Epoch: [364] [780/850] eta: 0:01:00 lr: 0.001471 loss: 0.0124 (0.0134) loss_rec_all: 0.0485 (0.0496) loss_rec_sfr: 0.0709 (0.0691) loss_cl: -0.3672 (-0.3674) time: 0.8603 data: 0.0002 max mem: 29859 [06:23:23.416193] Epoch: [364] [800/850] eta: 0:00:43 lr: 0.001471 loss: 0.0117 (0.0133) loss_rec_all: 0.0481 (0.0496) loss_rec_sfr: 0.0507 (0.0690) loss_cl: -0.3669 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [06:23:40.656419] Epoch: [364] [820/850] eta: 0:00:26 lr: 0.001471 loss: 0.0130 (0.0133) loss_rec_all: 0.0492 (0.0496) loss_rec_sfr: 0.0748 (0.0691) loss_cl: -0.3673 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [06:23:57.943037] Epoch: [364] [840/850] eta: 0:00:08 lr: 0.001471 loss: 0.0120 (0.0133) loss_rec_all: 0.0484 (0.0496) loss_rec_sfr: 0.0522 (0.0692) loss_cl: -0.3673 (-0.3673) time: 0.8643 data: 0.0005 max mem: 29859 [06:24:05.721570] Epoch: [364] [849/850] eta: 0:00:00 lr: 0.001470 loss: 0.0124 (0.0133) loss_rec_all: 0.0487 (0.0496) loss_rec_sfr: 0.0522 (0.0691) loss_cl: -0.3673 (-0.3673) time: 0.8650 data: 0.0005 max mem: 29859 [06:24:05.865606] Epoch: [364] Total time: 0:12:17 (0.8675 s / it) [06:24:05.868155] Averaged stats: lr: 0.001470 loss: 0.0124 (0.0133) loss_rec_all: 0.0487 (0.0496) loss_rec_sfr: 0.0522 (0.0685) loss_cl: -0.3673 (-0.3674) [06:24:05.881032] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [06:24:09.773617] Epoch: [365] [ 0/850] eta: 0:55:08 lr: 0.001470 loss: 0.0113 (0.0113) loss_rec_all: 0.0474 (0.0474) loss_rec_sfr: 0.1036 (0.1036) loss_cl: -0.3678 (-0.3678) time: 3.8919 data: 3.0361 max mem: 29859 [06:24:26.996276] Epoch: [365] [ 20/850] eta: 0:13:54 lr: 0.001470 loss: 0.0120 (0.0122) loss_rec_all: 0.0482 (0.0485) loss_rec_sfr: 0.0700 (0.0715) loss_cl: -0.3676 (-0.3675) time: 0.8611 data: 0.0002 max mem: 29859 [06:24:44.313392] Epoch: [365] [ 40/850] eta: 0:12:39 lr: 0.001470 loss: 0.0128 (0.0123) loss_rec_all: 0.0489 (0.0485) loss_rec_sfr: 0.0654 (0.0698) loss_cl: -0.3677 (-0.3676) time: 0.8658 data: 0.0002 max mem: 29859 [06:25:01.597480] Epoch: [365] [ 60/850] eta: 0:12:01 lr: 0.001470 loss: 0.0120 (0.0123) loss_rec_all: 0.0482 (0.0486) loss_rec_sfr: 0.0684 (0.0704) loss_cl: -0.3684 (-0.3678) time: 0.8641 data: 0.0011 max mem: 29859 [06:25:18.844043] Epoch: [365] [ 80/850] eta: 0:11:33 lr: 0.001470 loss: 0.0127 (0.0125) loss_rec_all: 0.0490 (0.0488) loss_rec_sfr: 0.0540 (0.0691) loss_cl: -0.3684 (-0.3680) time: 0.8623 data: 0.0002 max mem: 29859 [06:25:36.141226] Epoch: [365] [100/850] eta: 0:11:10 lr: 0.001470 loss: 0.0121 (0.0125) loss_rec_all: 0.0486 (0.0488) loss_rec_sfr: 0.0497 (0.0683) loss_cl: -0.3678 (-0.3679) time: 0.8648 data: 0.0003 max mem: 29859 [06:25:53.400320] Epoch: [365] [120/850] eta: 0:10:48 lr: 0.001470 loss: 0.0133 (0.0127) loss_rec_all: 0.0494 (0.0490) loss_rec_sfr: 0.0747 (0.0696) loss_cl: -0.3673 (-0.3678) time: 0.8629 data: 0.0002 max mem: 29859 [06:26:10.628147] Epoch: [365] [140/850] eta: 0:10:28 lr: 0.001470 loss: 0.0126 (0.0127) loss_rec_all: 0.0490 (0.0490) loss_rec_sfr: 0.0596 (0.0696) loss_cl: -0.3670 (-0.3677) time: 0.8613 data: 0.0002 max mem: 29859 [06:26:27.925727] Epoch: [365] [160/850] eta: 0:10:08 lr: 0.001470 loss: 0.0139 (0.0129) loss_rec_all: 0.0498 (0.0492) loss_rec_sfr: 0.0691 (0.0695) loss_cl: -0.3665 (-0.3676) time: 0.8648 data: 0.0002 max mem: 29859 [06:26:45.160868] Epoch: [365] [180/850] eta: 0:09:49 lr: 0.001469 loss: 0.0144 (0.0131) loss_rec_all: 0.0506 (0.0493) loss_rec_sfr: 0.0726 (0.0697) loss_cl: -0.3669 (-0.3675) time: 0.8617 data: 0.0002 max mem: 29859 [06:27:02.464092] Epoch: [365] [200/850] eta: 0:09:31 lr: 0.001469 loss: 0.0121 (0.0131) loss_rec_all: 0.0483 (0.0493) loss_rec_sfr: 0.0508 (0.0697) loss_cl: -0.3676 (-0.3675) time: 0.8651 data: 0.0002 max mem: 29859 [06:27:19.697336] Epoch: [365] [220/850] eta: 0:09:12 lr: 0.001469 loss: 0.0115 (0.0130) loss_rec_all: 0.0478 (0.0493) loss_rec_sfr: 0.0498 (0.0690) loss_cl: -0.3678 (-0.3675) time: 0.8616 data: 0.0002 max mem: 29859 [06:27:37.044293] Epoch: [365] [240/850] eta: 0:08:54 lr: 0.001469 loss: 0.0124 (0.0130) loss_rec_all: 0.0489 (0.0492) loss_rec_sfr: 0.0522 (0.0686) loss_cl: -0.3673 (-0.3675) time: 0.8673 data: 0.0003 max mem: 29859 [06:27:54.370279] Epoch: [365] [260/850] eta: 0:08:36 lr: 0.001469 loss: 0.0130 (0.0129) loss_rec_all: 0.0490 (0.0492) loss_rec_sfr: 0.0721 (0.0690) loss_cl: -0.3672 (-0.3675) time: 0.8662 data: 0.0003 max mem: 29859 [06:28:11.605297] Epoch: [365] [280/850] eta: 0:08:18 lr: 0.001469 loss: 0.0113 (0.0129) loss_rec_all: 0.0478 (0.0492) loss_rec_sfr: 0.0686 (0.0690) loss_cl: -0.3672 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [06:28:28.864644] Epoch: [365] [300/850] eta: 0:08:00 lr: 0.001469 loss: 0.0116 (0.0129) loss_rec_all: 0.0481 (0.0492) loss_rec_sfr: 0.0503 (0.0687) loss_cl: -0.3672 (-0.3674) time: 0.8629 data: 0.0004 max mem: 29859 [06:28:46.147776] Epoch: [365] [320/850] eta: 0:07:42 lr: 0.001469 loss: 0.0117 (0.0129) loss_rec_all: 0.0480 (0.0491) loss_rec_sfr: 0.0510 (0.0686) loss_cl: -0.3671 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [06:29:03.401550] Epoch: [365] [340/850] eta: 0:07:24 lr: 0.001469 loss: 0.0141 (0.0129) loss_rec_all: 0.0501 (0.0492) loss_rec_sfr: 0.0895 (0.0694) loss_cl: -0.3676 (-0.3674) time: 0.8626 data: 0.0002 max mem: 29859 [06:29:20.683710] Epoch: [365] [360/850] eta: 0:07:07 lr: 0.001468 loss: 0.0123 (0.0129) loss_rec_all: 0.0486 (0.0492) loss_rec_sfr: 0.0557 (0.0695) loss_cl: -0.3681 (-0.3675) time: 0.8641 data: 0.0002 max mem: 29859 [06:29:37.918095] Epoch: [365] [380/850] eta: 0:06:49 lr: 0.001468 loss: 0.0136 (0.0130) loss_rec_all: 0.0498 (0.0492) loss_rec_sfr: 0.0708 (0.0699) loss_cl: -0.3681 (-0.3675) time: 0.8617 data: 0.0002 max mem: 29859 [06:29:55.216799] Epoch: [365] [400/850] eta: 0:06:31 lr: 0.001468 loss: 0.0122 (0.0130) loss_rec_all: 0.0487 (0.0492) loss_rec_sfr: 0.0517 (0.0697) loss_cl: -0.3675 (-0.3675) time: 0.8649 data: 0.0002 max mem: 29859 [06:30:12.439940] Epoch: [365] [420/850] eta: 0:06:14 lr: 0.001468 loss: 0.0143 (0.0130) loss_rec_all: 0.0503 (0.0493) loss_rec_sfr: 0.0692 (0.0698) loss_cl: -0.3669 (-0.3675) time: 0.8611 data: 0.0002 max mem: 29859 [06:30:29.710620] Epoch: [365] [440/850] eta: 0:05:56 lr: 0.001468 loss: 0.0127 (0.0130) loss_rec_all: 0.0488 (0.0493) loss_rec_sfr: 0.0504 (0.0695) loss_cl: -0.3666 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [06:30:46.949357] Epoch: [365] [460/850] eta: 0:05:39 lr: 0.001468 loss: 0.0132 (0.0131) loss_rec_all: 0.0492 (0.0493) loss_rec_sfr: 0.0706 (0.0696) loss_cl: -0.3667 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [06:31:04.251272] Epoch: [365] [480/850] eta: 0:05:21 lr: 0.001468 loss: 0.0117 (0.0131) loss_rec_all: 0.0481 (0.0493) loss_rec_sfr: 0.0508 (0.0694) loss_cl: -0.3668 (-0.3674) time: 0.8650 data: 0.0003 max mem: 29859 [06:31:21.517241] Epoch: [365] [500/850] eta: 0:05:04 lr: 0.001468 loss: 0.0121 (0.0131) loss_rec_all: 0.0483 (0.0493) loss_rec_sfr: 0.0545 (0.0693) loss_cl: -0.3674 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [06:31:38.805609] Epoch: [365] [520/850] eta: 0:04:46 lr: 0.001468 loss: 0.0129 (0.0131) loss_rec_all: 0.0494 (0.0493) loss_rec_sfr: 0.0553 (0.0693) loss_cl: -0.3678 (-0.3674) time: 0.8644 data: 0.0002 max mem: 29859 [06:31:56.070034] Epoch: [365] [540/850] eta: 0:04:29 lr: 0.001467 loss: 0.0116 (0.0130) loss_rec_all: 0.0478 (0.0493) loss_rec_sfr: 0.0675 (0.0692) loss_cl: -0.3681 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [06:32:13.371089] Epoch: [365] [560/850] eta: 0:04:11 lr: 0.001467 loss: 0.0117 (0.0130) loss_rec_all: 0.0481 (0.0493) loss_rec_sfr: 0.0485 (0.0691) loss_cl: -0.3685 (-0.3674) time: 0.8650 data: 0.0002 max mem: 29859 [06:32:30.616671] Epoch: [365] [580/850] eta: 0:03:54 lr: 0.001467 loss: 0.0124 (0.0130) loss_rec_all: 0.0487 (0.0493) loss_rec_sfr: 0.0532 (0.0690) loss_cl: -0.3677 (-0.3675) time: 0.8622 data: 0.0002 max mem: 29859 [06:32:47.908379] Epoch: [365] [600/850] eta: 0:03:37 lr: 0.001467 loss: 0.0136 (0.0130) loss_rec_all: 0.0497 (0.0493) loss_rec_sfr: 0.0698 (0.0691) loss_cl: -0.3673 (-0.3675) time: 0.8645 data: 0.0002 max mem: 29859 [06:33:05.150883] Epoch: [365] [620/850] eta: 0:03:19 lr: 0.001467 loss: 0.0127 (0.0130) loss_rec_all: 0.0489 (0.0493) loss_rec_sfr: 0.0502 (0.0689) loss_cl: -0.3669 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [06:33:22.451641] Epoch: [365] [640/850] eta: 0:03:02 lr: 0.001467 loss: 0.0126 (0.0130) loss_rec_all: 0.0487 (0.0493) loss_rec_sfr: 0.0746 (0.0692) loss_cl: -0.3672 (-0.3674) time: 0.8650 data: 0.0002 max mem: 29859 [06:33:39.687441] Epoch: [365] [660/850] eta: 0:02:44 lr: 0.001467 loss: 0.0123 (0.0130) loss_rec_all: 0.0487 (0.0493) loss_rec_sfr: 0.0582 (0.0691) loss_cl: -0.3677 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [06:33:56.985741] Epoch: [365] [680/850] eta: 0:02:27 lr: 0.001467 loss: 0.0119 (0.0130) loss_rec_all: 0.0480 (0.0492) loss_rec_sfr: 0.0539 (0.0690) loss_cl: -0.3677 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [06:34:14.281025] Epoch: [365] [700/850] eta: 0:02:10 lr: 0.001467 loss: 0.0128 (0.0130) loss_rec_all: 0.0490 (0.0492) loss_rec_sfr: 0.0673 (0.0691) loss_cl: -0.3677 (-0.3675) time: 0.8647 data: 0.0007 max mem: 29859 [06:34:31.551235] Epoch: [365] [720/850] eta: 0:01:52 lr: 0.001466 loss: 0.0121 (0.0130) loss_rec_all: 0.0483 (0.0492) loss_rec_sfr: 0.0677 (0.0690) loss_cl: -0.3674 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [06:34:48.796696] Epoch: [365] [740/850] eta: 0:01:35 lr: 0.001466 loss: 0.0120 (0.0130) loss_rec_all: 0.0484 (0.0492) loss_rec_sfr: 0.0568 (0.0690) loss_cl: -0.3676 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [06:35:06.098972] Epoch: [365] [760/850] eta: 0:01:18 lr: 0.001466 loss: 0.0121 (0.0130) loss_rec_all: 0.0484 (0.0492) loss_rec_sfr: 0.0517 (0.0688) loss_cl: -0.3672 (-0.3674) time: 0.8651 data: 0.0002 max mem: 29859 [06:35:23.337646] Epoch: [365] [780/850] eta: 0:01:00 lr: 0.001466 loss: 0.0129 (0.0130) loss_rec_all: 0.0491 (0.0492) loss_rec_sfr: 0.0757 (0.0690) loss_cl: -0.3672 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [06:35:40.629887] Epoch: [365] [800/850] eta: 0:00:43 lr: 0.001466 loss: 0.0151 (0.0130) loss_rec_all: 0.0514 (0.0493) loss_rec_sfr: 0.0728 (0.0692) loss_cl: -0.3672 (-0.3674) time: 0.8646 data: 0.0002 max mem: 29859 [06:35:57.868792] Epoch: [365] [820/850] eta: 0:00:26 lr: 0.001466 loss: 0.0160 (0.0131) loss_rec_all: 0.0521 (0.0494) loss_rec_sfr: 0.0777 (0.0694) loss_cl: -0.3672 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [06:36:15.194683] Epoch: [365] [840/850] eta: 0:00:08 lr: 0.001466 loss: 0.0150 (0.0132) loss_rec_all: 0.0514 (0.0494) loss_rec_sfr: 0.0577 (0.0694) loss_cl: -0.3676 (-0.3674) time: 0.8662 data: 0.0018 max mem: 29859 [06:36:22.949578] Epoch: [365] [849/850] eta: 0:00:00 lr: 0.001466 loss: 0.0144 (0.0132) loss_rec_all: 0.0508 (0.0494) loss_rec_sfr: 0.0577 (0.0695) loss_cl: -0.3678 (-0.3674) time: 0.8660 data: 0.0017 max mem: 29859 [06:36:23.075945] Epoch: [365] Total time: 0:12:17 (0.8673 s / it) [06:36:23.080894] Averaged stats: lr: 0.001466 loss: 0.0144 (0.0131) loss_rec_all: 0.0508 (0.0494) loss_rec_sfr: 0.0577 (0.0687) loss_cl: -0.3678 (-0.3674) [06:36:23.092640] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [06:36:27.545510] Epoch: [366] [ 0/850] eta: 1:03:03 lr: 0.001466 loss: 0.0152 (0.0152) loss_rec_all: 0.0513 (0.0513) loss_rec_sfr: 0.0884 (0.0884) loss_cl: -0.3672 (-0.3672) time: 4.4515 data: 3.5935 max mem: 29859 [06:36:44.746262] Epoch: [366] [ 20/850] eta: 0:14:15 lr: 0.001466 loss: 0.0135 (0.0141) loss_rec_all: 0.0497 (0.0504) loss_rec_sfr: 0.0723 (0.0714) loss_cl: -0.3676 (-0.3674) time: 0.8600 data: 0.0002 max mem: 29859 [06:37:02.009829] Epoch: [366] [ 40/850] eta: 0:12:48 lr: 0.001465 loss: 0.0126 (0.0136) loss_rec_all: 0.0491 (0.0499) loss_rec_sfr: 0.0479 (0.0657) loss_cl: -0.3675 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [06:37:19.245361] Epoch: [366] [ 60/850] eta: 0:12:07 lr: 0.001465 loss: 0.0139 (0.0138) loss_rec_all: 0.0500 (0.0500) loss_rec_sfr: 0.0709 (0.0684) loss_cl: -0.3675 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [06:37:36.563387] Epoch: [366] [ 80/850] eta: 0:11:38 lr: 0.001465 loss: 0.0125 (0.0135) loss_rec_all: 0.0488 (0.0498) loss_rec_sfr: 0.0516 (0.0676) loss_cl: -0.3675 (-0.3674) time: 0.8658 data: 0.0004 max mem: 29859 [06:37:53.794651] Epoch: [366] [100/850] eta: 0:11:13 lr: 0.001465 loss: 0.0120 (0.0132) loss_rec_all: 0.0481 (0.0495) loss_rec_sfr: 0.0515 (0.0676) loss_cl: -0.3677 (-0.3675) time: 0.8615 data: 0.0002 max mem: 29859 [06:38:11.057483] Epoch: [366] [120/850] eta: 0:10:51 lr: 0.001465 loss: 0.0119 (0.0131) loss_rec_all: 0.0483 (0.0493) loss_rec_sfr: 0.0684 (0.0678) loss_cl: -0.3675 (-0.3675) time: 0.8631 data: 0.0002 max mem: 29859 [06:38:28.296829] Epoch: [366] [140/850] eta: 0:10:30 lr: 0.001465 loss: 0.0126 (0.0130) loss_rec_all: 0.0487 (0.0493) loss_rec_sfr: 0.0682 (0.0688) loss_cl: -0.3677 (-0.3675) time: 0.8619 data: 0.0002 max mem: 29859 [06:38:45.564318] Epoch: [366] [160/850] eta: 0:10:10 lr: 0.001465 loss: 0.0138 (0.0132) loss_rec_all: 0.0501 (0.0494) loss_rec_sfr: 0.0539 (0.0685) loss_cl: -0.3673 (-0.3675) time: 0.8633 data: 0.0002 max mem: 29859 [06:39:02.803018] Epoch: [366] [180/850] eta: 0:09:51 lr: 0.001465 loss: 0.0135 (0.0132) loss_rec_all: 0.0495 (0.0495) loss_rec_sfr: 0.0731 (0.0698) loss_cl: -0.3674 (-0.3675) time: 0.8619 data: 0.0002 max mem: 29859 [06:39:20.074640] Epoch: [366] [200/850] eta: 0:09:32 lr: 0.001465 loss: 0.0125 (0.0132) loss_rec_all: 0.0487 (0.0495) loss_rec_sfr: 0.0558 (0.0694) loss_cl: -0.3674 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [06:39:37.316077] Epoch: [366] [220/850] eta: 0:09:13 lr: 0.001464 loss: 0.0127 (0.0132) loss_rec_all: 0.0486 (0.0494) loss_rec_sfr: 0.0535 (0.0690) loss_cl: -0.3671 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [06:39:54.579883] Epoch: [366] [240/850] eta: 0:08:55 lr: 0.001464 loss: 0.0126 (0.0132) loss_rec_all: 0.0490 (0.0494) loss_rec_sfr: 0.0671 (0.0694) loss_cl: -0.3671 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [06:40:11.809614] Epoch: [366] [260/850] eta: 0:08:36 lr: 0.001464 loss: 0.0133 (0.0133) loss_rec_all: 0.0497 (0.0495) loss_rec_sfr: 0.0558 (0.0699) loss_cl: -0.3670 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [06:40:29.084262] Epoch: [366] [280/850] eta: 0:08:18 lr: 0.001464 loss: 0.0131 (0.0133) loss_rec_all: 0.0494 (0.0495) loss_rec_sfr: 0.0736 (0.0707) loss_cl: -0.3676 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [06:40:46.324649] Epoch: [366] [300/850] eta: 0:08:00 lr: 0.001464 loss: 0.0131 (0.0133) loss_rec_all: 0.0495 (0.0495) loss_rec_sfr: 0.0571 (0.0710) loss_cl: -0.3679 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [06:41:03.649658] Epoch: [366] [320/850] eta: 0:07:43 lr: 0.001464 loss: 0.0121 (0.0132) loss_rec_all: 0.0483 (0.0495) loss_rec_sfr: 0.0539 (0.0705) loss_cl: -0.3674 (-0.3674) time: 0.8662 data: 0.0003 max mem: 29859 [06:41:20.882659] Epoch: [366] [340/850] eta: 0:07:25 lr: 0.001464 loss: 0.0125 (0.0132) loss_rec_all: 0.0488 (0.0494) loss_rec_sfr: 0.0546 (0.0702) loss_cl: -0.3671 (-0.3674) time: 0.8616 data: 0.0002 max mem: 29859 [06:41:38.161528] Epoch: [366] [360/850] eta: 0:07:07 lr: 0.001464 loss: 0.0121 (0.0132) loss_rec_all: 0.0483 (0.0494) loss_rec_sfr: 0.0572 (0.0699) loss_cl: -0.3673 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [06:41:55.396605] Epoch: [366] [380/850] eta: 0:06:49 lr: 0.001464 loss: 0.0129 (0.0132) loss_rec_all: 0.0490 (0.0494) loss_rec_sfr: 0.0683 (0.0699) loss_cl: -0.3673 (-0.3674) time: 0.8617 data: 0.0001 max mem: 29859 [06:42:12.697830] Epoch: [366] [400/850] eta: 0:06:32 lr: 0.001463 loss: 0.0122 (0.0131) loss_rec_all: 0.0483 (0.0494) loss_rec_sfr: 0.0544 (0.0698) loss_cl: -0.3675 (-0.3674) time: 0.8650 data: 0.0002 max mem: 29859 [06:42:29.919137] Epoch: [366] [420/850] eta: 0:06:14 lr: 0.001463 loss: 0.0119 (0.0131) loss_rec_all: 0.0484 (0.0494) loss_rec_sfr: 0.0518 (0.0695) loss_cl: -0.3676 (-0.3674) time: 0.8610 data: 0.0001 max mem: 29859 [06:42:47.175279] Epoch: [366] [440/850] eta: 0:05:57 lr: 0.001463 loss: 0.0118 (0.0131) loss_rec_all: 0.0481 (0.0493) loss_rec_sfr: 0.0516 (0.0691) loss_cl: -0.3670 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [06:43:04.422141] Epoch: [366] [460/850] eta: 0:05:39 lr: 0.001463 loss: 0.0125 (0.0131) loss_rec_all: 0.0488 (0.0493) loss_rec_sfr: 0.0517 (0.0689) loss_cl: -0.3668 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [06:43:21.691335] Epoch: [366] [480/850] eta: 0:05:21 lr: 0.001463 loss: 0.0136 (0.0131) loss_rec_all: 0.0496 (0.0494) loss_rec_sfr: 0.0686 (0.0689) loss_cl: -0.3671 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [06:43:39.027301] Epoch: [366] [500/850] eta: 0:05:04 lr: 0.001463 loss: 0.0128 (0.0131) loss_rec_all: 0.0492 (0.0494) loss_rec_sfr: 0.0505 (0.0690) loss_cl: -0.3672 (-0.3673) time: 0.8666 data: 0.0003 max mem: 29859 [06:43:56.321387] Epoch: [366] [520/850] eta: 0:04:47 lr: 0.001463 loss: 0.0133 (0.0131) loss_rec_all: 0.0496 (0.0494) loss_rec_sfr: 0.0704 (0.0690) loss_cl: -0.3670 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [06:44:13.561873] Epoch: [366] [540/850] eta: 0:04:29 lr: 0.001463 loss: 0.0122 (0.0131) loss_rec_all: 0.0486 (0.0494) loss_rec_sfr: 0.0532 (0.0688) loss_cl: -0.3672 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [06:44:30.840602] Epoch: [366] [560/850] eta: 0:04:12 lr: 0.001462 loss: 0.0127 (0.0132) loss_rec_all: 0.0487 (0.0494) loss_rec_sfr: 0.0709 (0.0690) loss_cl: -0.3672 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [06:44:48.065828] Epoch: [366] [580/850] eta: 0:03:54 lr: 0.001462 loss: 0.0125 (0.0131) loss_rec_all: 0.0489 (0.0494) loss_rec_sfr: 0.0655 (0.0690) loss_cl: -0.3674 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [06:45:05.350279] Epoch: [366] [600/850] eta: 0:03:37 lr: 0.001462 loss: 0.0137 (0.0131) loss_rec_all: 0.0497 (0.0494) loss_rec_sfr: 0.0702 (0.0690) loss_cl: -0.3680 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [06:45:22.600130] Epoch: [366] [620/850] eta: 0:03:19 lr: 0.001462 loss: 0.0137 (0.0132) loss_rec_all: 0.0500 (0.0494) loss_rec_sfr: 0.0713 (0.0692) loss_cl: -0.3677 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [06:45:39.875038] Epoch: [366] [640/850] eta: 0:03:02 lr: 0.001462 loss: 0.0117 (0.0131) loss_rec_all: 0.0479 (0.0494) loss_rec_sfr: 0.0533 (0.0690) loss_cl: -0.3676 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [06:45:57.111078] Epoch: [366] [660/850] eta: 0:02:44 lr: 0.001462 loss: 0.0117 (0.0131) loss_rec_all: 0.0480 (0.0494) loss_rec_sfr: 0.0514 (0.0688) loss_cl: -0.3672 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [06:46:14.393308] Epoch: [366] [680/850] eta: 0:02:27 lr: 0.001462 loss: 0.0136 (0.0131) loss_rec_all: 0.0496 (0.0494) loss_rec_sfr: 0.0712 (0.0691) loss_cl: -0.3670 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [06:46:31.638238] Epoch: [366] [700/850] eta: 0:02:10 lr: 0.001462 loss: 0.0120 (0.0131) loss_rec_all: 0.0483 (0.0494) loss_rec_sfr: 0.0507 (0.0689) loss_cl: -0.3669 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [06:46:48.914775] Epoch: [366] [720/850] eta: 0:01:52 lr: 0.001462 loss: 0.0119 (0.0131) loss_rec_all: 0.0482 (0.0494) loss_rec_sfr: 0.0503 (0.0688) loss_cl: -0.3676 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [06:47:06.193160] Epoch: [366] [740/850] eta: 0:01:35 lr: 0.001461 loss: 0.0129 (0.0131) loss_rec_all: 0.0493 (0.0494) loss_rec_sfr: 0.0669 (0.0689) loss_cl: -0.3678 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [06:47:23.496300] Epoch: [366] [760/850] eta: 0:01:18 lr: 0.001461 loss: 0.0121 (0.0131) loss_rec_all: 0.0483 (0.0493) loss_rec_sfr: 0.0553 (0.0687) loss_cl: -0.3673 (-0.3673) time: 0.8651 data: 0.0010 max mem: 29859 [06:47:40.737735] Epoch: [366] [780/850] eta: 0:01:00 lr: 0.001461 loss: 0.0131 (0.0131) loss_rec_all: 0.0495 (0.0494) loss_rec_sfr: 0.0694 (0.0687) loss_cl: -0.3673 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [06:47:58.023679] Epoch: [366] [800/850] eta: 0:00:43 lr: 0.001461 loss: 0.0119 (0.0131) loss_rec_all: 0.0483 (0.0494) loss_rec_sfr: 0.0495 (0.0685) loss_cl: -0.3674 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [06:48:15.280430] Epoch: [366] [820/850] eta: 0:00:26 lr: 0.001461 loss: 0.0131 (0.0131) loss_rec_all: 0.0495 (0.0494) loss_rec_sfr: 0.0562 (0.0684) loss_cl: -0.3675 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [06:48:32.571501] Epoch: [366] [840/850] eta: 0:00:08 lr: 0.001461 loss: 0.0127 (0.0131) loss_rec_all: 0.0488 (0.0494) loss_rec_sfr: 0.0838 (0.0686) loss_cl: -0.3673 (-0.3673) time: 0.8645 data: 0.0005 max mem: 29859 [06:48:40.325081] Epoch: [366] [849/850] eta: 0:00:00 lr: 0.001461 loss: 0.0130 (0.0131) loss_rec_all: 0.0491 (0.0494) loss_rec_sfr: 0.0713 (0.0686) loss_cl: -0.3676 (-0.3673) time: 0.8638 data: 0.0004 max mem: 29859 [06:48:40.463825] Epoch: [366] Total time: 0:12:17 (0.8675 s / it) [06:48:40.465309] Averaged stats: lr: 0.001461 loss: 0.0130 (0.0130) loss_rec_all: 0.0491 (0.0493) loss_rec_sfr: 0.0713 (0.0684) loss_cl: -0.3676 (-0.3673) [06:48:40.472427] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [06:48:44.923885] Epoch: [367] [ 0/850] eta: 1:03:02 lr: 0.001461 loss: 0.0124 (0.0124) loss_rec_all: 0.0489 (0.0489) loss_rec_sfr: 0.0482 (0.0482) loss_cl: -0.3679 (-0.3679) time: 4.4503 data: 3.5758 max mem: 29859 [06:49:02.122893] Epoch: [367] [ 20/850] eta: 0:14:15 lr: 0.001461 loss: 0.0126 (0.0139) loss_rec_all: 0.0489 (0.0501) loss_rec_sfr: 0.0533 (0.0661) loss_cl: -0.3676 (-0.3675) time: 0.8599 data: 0.0002 max mem: 29859 [06:49:19.388333] Epoch: [367] [ 40/850] eta: 0:12:48 lr: 0.001461 loss: 0.0121 (0.0133) loss_rec_all: 0.0484 (0.0496) loss_rec_sfr: 0.0553 (0.0685) loss_cl: -0.3674 (-0.3675) time: 0.8632 data: 0.0002 max mem: 29859 [06:49:36.633122] Epoch: [367] [ 60/850] eta: 0:12:07 lr: 0.001460 loss: 0.0128 (0.0132) loss_rec_all: 0.0491 (0.0494) loss_rec_sfr: 0.0664 (0.0687) loss_cl: -0.3674 (-0.3675) time: 0.8622 data: 0.0002 max mem: 29859 [06:49:53.906867] Epoch: [367] [ 80/850] eta: 0:11:38 lr: 0.001460 loss: 0.0131 (0.0132) loss_rec_all: 0.0492 (0.0494) loss_rec_sfr: 0.0790 (0.0716) loss_cl: -0.3675 (-0.3675) time: 0.8636 data: 0.0002 max mem: 29859 [06:50:11.174036] Epoch: [367] [100/850] eta: 0:11:13 lr: 0.001460 loss: 0.0122 (0.0129) loss_rec_all: 0.0483 (0.0492) loss_rec_sfr: 0.0540 (0.0702) loss_cl: -0.3674 (-0.3674) time: 0.8632 data: 0.0003 max mem: 29859 [06:50:28.530993] Epoch: [367] [120/850] eta: 0:10:51 lr: 0.001460 loss: 0.0122 (0.0129) loss_rec_all: 0.0483 (0.0491) loss_rec_sfr: 0.0677 (0.0694) loss_cl: -0.3669 (-0.3673) time: 0.8677 data: 0.0003 max mem: 29859 [06:50:45.789726] Epoch: [367] [140/850] eta: 0:10:30 lr: 0.001460 loss: 0.0116 (0.0127) loss_rec_all: 0.0479 (0.0490) loss_rec_sfr: 0.0507 (0.0688) loss_cl: -0.3668 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [06:51:03.077354] Epoch: [367] [160/850] eta: 0:10:11 lr: 0.001460 loss: 0.0122 (0.0127) loss_rec_all: 0.0484 (0.0490) loss_rec_sfr: 0.0681 (0.0684) loss_cl: -0.3666 (-0.3672) time: 0.8643 data: 0.0002 max mem: 29859 [06:51:20.326711] Epoch: [367] [180/850] eta: 0:09:51 lr: 0.001460 loss: 0.0114 (0.0126) loss_rec_all: 0.0474 (0.0489) loss_rec_sfr: 0.0678 (0.0685) loss_cl: -0.3671 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [06:51:37.617019] Epoch: [367] [200/850] eta: 0:09:32 lr: 0.001460 loss: 0.0117 (0.0126) loss_rec_all: 0.0480 (0.0488) loss_rec_sfr: 0.0540 (0.0681) loss_cl: -0.3677 (-0.3672) time: 0.8645 data: 0.0002 max mem: 29859 [06:51:54.862453] Epoch: [367] [220/850] eta: 0:09:14 lr: 0.001460 loss: 0.0120 (0.0126) loss_rec_all: 0.0484 (0.0488) loss_rec_sfr: 0.0656 (0.0681) loss_cl: -0.3682 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [06:52:12.160378] Epoch: [367] [240/850] eta: 0:08:55 lr: 0.001459 loss: 0.0113 (0.0125) loss_rec_all: 0.0476 (0.0488) loss_rec_sfr: 0.0500 (0.0671) loss_cl: -0.3682 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [06:52:29.372633] Epoch: [367] [260/850] eta: 0:08:37 lr: 0.001459 loss: 0.0124 (0.0125) loss_rec_all: 0.0488 (0.0488) loss_rec_sfr: 0.0703 (0.0675) loss_cl: -0.3682 (-0.3674) time: 0.8605 data: 0.0002 max mem: 29859 [06:52:46.637997] Epoch: [367] [280/850] eta: 0:08:19 lr: 0.001459 loss: 0.0131 (0.0126) loss_rec_all: 0.0493 (0.0488) loss_rec_sfr: 0.0514 (0.0677) loss_cl: -0.3672 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [06:53:03.852680] Epoch: [367] [300/850] eta: 0:08:01 lr: 0.001459 loss: 0.0123 (0.0126) loss_rec_all: 0.0485 (0.0488) loss_rec_sfr: 0.0552 (0.0676) loss_cl: -0.3669 (-0.3674) time: 0.8607 data: 0.0002 max mem: 29859 [06:53:21.192843] Epoch: [367] [320/850] eta: 0:07:43 lr: 0.001459 loss: 0.0109 (0.0125) loss_rec_all: 0.0472 (0.0488) loss_rec_sfr: 0.0482 (0.0676) loss_cl: -0.3668 (-0.3673) time: 0.8670 data: 0.0003 max mem: 29859 [06:53:38.448675] Epoch: [367] [340/850] eta: 0:07:25 lr: 0.001459 loss: 0.0134 (0.0126) loss_rec_all: 0.0495 (0.0488) loss_rec_sfr: 0.0710 (0.0680) loss_cl: -0.3665 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [06:53:55.772360] Epoch: [367] [360/850] eta: 0:07:07 lr: 0.001459 loss: 0.0116 (0.0126) loss_rec_all: 0.0481 (0.0488) loss_rec_sfr: 0.0497 (0.0675) loss_cl: -0.3670 (-0.3673) time: 0.8661 data: 0.0002 max mem: 29859 [06:54:13.058687] Epoch: [367] [380/850] eta: 0:06:50 lr: 0.001459 loss: 0.0122 (0.0126) loss_rec_all: 0.0486 (0.0488) loss_rec_sfr: 0.0526 (0.0672) loss_cl: -0.3677 (-0.3673) time: 0.8643 data: 0.0003 max mem: 29859 [06:54:30.349203] Epoch: [367] [400/850] eta: 0:06:32 lr: 0.001459 loss: 0.0122 (0.0126) loss_rec_all: 0.0484 (0.0488) loss_rec_sfr: 0.0780 (0.0674) loss_cl: -0.3681 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [06:54:47.605071] Epoch: [367] [420/850] eta: 0:06:14 lr: 0.001458 loss: 0.0120 (0.0126) loss_rec_all: 0.0485 (0.0489) loss_rec_sfr: 0.0694 (0.0674) loss_cl: -0.3681 (-0.3674) time: 0.8627 data: 0.0003 max mem: 29859 [06:55:04.880727] Epoch: [367] [440/850] eta: 0:05:57 lr: 0.001458 loss: 0.0124 (0.0126) loss_rec_all: 0.0488 (0.0489) loss_rec_sfr: 0.0553 (0.0673) loss_cl: -0.3678 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [06:55:22.134817] Epoch: [367] [460/850] eta: 0:05:39 lr: 0.001458 loss: 0.0118 (0.0126) loss_rec_all: 0.0481 (0.0489) loss_rec_sfr: 0.0501 (0.0672) loss_cl: -0.3672 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [06:55:39.407664] Epoch: [367] [480/850] eta: 0:05:22 lr: 0.001458 loss: 0.0122 (0.0126) loss_rec_all: 0.0485 (0.0489) loss_rec_sfr: 0.0505 (0.0671) loss_cl: -0.3674 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [06:55:56.652801] Epoch: [367] [500/850] eta: 0:05:04 lr: 0.001458 loss: 0.0115 (0.0126) loss_rec_all: 0.0479 (0.0489) loss_rec_sfr: 0.0523 (0.0671) loss_cl: -0.3674 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [06:56:13.984214] Epoch: [367] [520/850] eta: 0:04:47 lr: 0.001458 loss: 0.0115 (0.0126) loss_rec_all: 0.0479 (0.0489) loss_rec_sfr: 0.0530 (0.0670) loss_cl: -0.3676 (-0.3674) time: 0.8665 data: 0.0003 max mem: 29859 [06:56:31.215086] Epoch: [367] [540/850] eta: 0:04:29 lr: 0.001458 loss: 0.0118 (0.0126) loss_rec_all: 0.0480 (0.0489) loss_rec_sfr: 0.0496 (0.0668) loss_cl: -0.3678 (-0.3674) time: 0.8615 data: 0.0002 max mem: 29859 [06:56:48.569688] Epoch: [367] [560/850] eta: 0:04:12 lr: 0.001458 loss: 0.0119 (0.0126) loss_rec_all: 0.0482 (0.0489) loss_rec_sfr: 0.0504 (0.0667) loss_cl: -0.3675 (-0.3674) time: 0.8677 data: 0.0002 max mem: 29859 [06:57:05.831374] Epoch: [367] [580/850] eta: 0:03:54 lr: 0.001458 loss: 0.0120 (0.0126) loss_rec_all: 0.0484 (0.0489) loss_rec_sfr: 0.0519 (0.0665) loss_cl: -0.3671 (-0.3674) time: 0.8630 data: 0.0007 max mem: 29859 [06:57:23.106088] Epoch: [367] [600/850] eta: 0:03:37 lr: 0.001457 loss: 0.0131 (0.0127) loss_rec_all: 0.0493 (0.0489) loss_rec_sfr: 0.0803 (0.0668) loss_cl: -0.3669 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [06:57:40.366111] Epoch: [367] [620/850] eta: 0:03:19 lr: 0.001457 loss: 0.0127 (0.0127) loss_rec_all: 0.0490 (0.0489) loss_rec_sfr: 0.0531 (0.0668) loss_cl: -0.3670 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [06:57:57.634132] Epoch: [367] [640/850] eta: 0:03:02 lr: 0.001457 loss: 0.0116 (0.0127) loss_rec_all: 0.0480 (0.0489) loss_rec_sfr: 0.0525 (0.0668) loss_cl: -0.3672 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [06:58:14.873847] Epoch: [367] [660/850] eta: 0:02:45 lr: 0.001457 loss: 0.0116 (0.0126) loss_rec_all: 0.0480 (0.0489) loss_rec_sfr: 0.0498 (0.0666) loss_cl: -0.3675 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [06:58:32.153421] Epoch: [367] [680/850] eta: 0:02:27 lr: 0.001457 loss: 0.0127 (0.0126) loss_rec_all: 0.0491 (0.0489) loss_rec_sfr: 0.0498 (0.0665) loss_cl: -0.3679 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [06:58:49.451084] Epoch: [367] [700/850] eta: 0:02:10 lr: 0.001457 loss: 0.0133 (0.0127) loss_rec_all: 0.0494 (0.0489) loss_rec_sfr: 0.0725 (0.0667) loss_cl: -0.3676 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [06:59:06.730533] Epoch: [367] [720/850] eta: 0:01:52 lr: 0.001457 loss: 0.0125 (0.0127) loss_rec_all: 0.0488 (0.0489) loss_rec_sfr: 0.0545 (0.0668) loss_cl: -0.3675 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [06:59:23.965040] Epoch: [367] [740/850] eta: 0:01:35 lr: 0.001457 loss: 0.0127 (0.0127) loss_rec_all: 0.0492 (0.0490) loss_rec_sfr: 0.0522 (0.0667) loss_cl: -0.3671 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [06:59:41.300551] Epoch: [367] [760/850] eta: 0:01:18 lr: 0.001456 loss: 0.0152 (0.0127) loss_rec_all: 0.0511 (0.0490) loss_rec_sfr: 0.0805 (0.0671) loss_cl: -0.3664 (-0.3673) time: 0.8667 data: 0.0004 max mem: 29859 [06:59:58.549180] Epoch: [367] [780/850] eta: 0:01:00 lr: 0.001456 loss: 0.0132 (0.0128) loss_rec_all: 0.0494 (0.0490) loss_rec_sfr: 0.0539 (0.0670) loss_cl: -0.3669 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [07:00:15.830173] Epoch: [367] [800/850] eta: 0:00:43 lr: 0.001456 loss: 0.0129 (0.0128) loss_rec_all: 0.0491 (0.0490) loss_rec_sfr: 0.0560 (0.0671) loss_cl: -0.3673 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [07:00:33.091105] Epoch: [367] [820/850] eta: 0:00:26 lr: 0.001456 loss: 0.0118 (0.0128) loss_rec_all: 0.0482 (0.0490) loss_rec_sfr: 0.0540 (0.0669) loss_cl: -0.3674 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [07:00:50.369667] Epoch: [367] [840/850] eta: 0:00:08 lr: 0.001456 loss: 0.0122 (0.0128) loss_rec_all: 0.0486 (0.0490) loss_rec_sfr: 0.0515 (0.0668) loss_cl: -0.3673 (-0.3673) time: 0.8639 data: 0.0005 max mem: 29859 [07:00:58.139291] Epoch: [367] [849/850] eta: 0:00:00 lr: 0.001456 loss: 0.0116 (0.0128) loss_rec_all: 0.0480 (0.0490) loss_rec_sfr: 0.0533 (0.0669) loss_cl: -0.3676 (-0.3673) time: 0.8642 data: 0.0004 max mem: 29859 [07:00:58.301229] Epoch: [367] Total time: 0:12:17 (0.8680 s / it) [07:00:58.303198] Averaged stats: lr: 0.001456 loss: 0.0116 (0.0129) loss_rec_all: 0.0480 (0.0491) loss_rec_sfr: 0.0533 (0.0676) loss_cl: -0.3676 (-0.3674) [07:00:58.311978] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [07:01:03.020119] Epoch: [368] [ 0/850] eta: 1:06:41 lr: 0.001456 loss: 0.0125 (0.0125) loss_rec_all: 0.0486 (0.0486) loss_rec_sfr: 0.0994 (0.0994) loss_cl: -0.3679 (-0.3679) time: 4.7073 data: 3.8489 max mem: 29859 [07:01:20.236567] Epoch: [368] [ 20/850] eta: 0:14:26 lr: 0.001456 loss: 0.0110 (0.0122) loss_rec_all: 0.0474 (0.0485) loss_rec_sfr: 0.0718 (0.0711) loss_cl: -0.3680 (-0.3680) time: 0.8608 data: 0.0001 max mem: 29859 [07:01:37.509839] Epoch: [368] [ 40/850] eta: 0:12:54 lr: 0.001456 loss: 0.0107 (0.0117) loss_rec_all: 0.0472 (0.0480) loss_rec_sfr: 0.0491 (0.0683) loss_cl: -0.3682 (-0.3680) time: 0.8636 data: 0.0002 max mem: 29859 [07:01:54.746493] Epoch: [368] [ 60/850] eta: 0:12:10 lr: 0.001456 loss: 0.0112 (0.0118) loss_rec_all: 0.0475 (0.0481) loss_rec_sfr: 0.0512 (0.0667) loss_cl: -0.3683 (-0.3682) time: 0.8618 data: 0.0002 max mem: 29859 [07:02:11.996209] Epoch: [368] [ 80/850] eta: 0:11:40 lr: 0.001456 loss: 0.0120 (0.0120) loss_rec_all: 0.0484 (0.0484) loss_rec_sfr: 0.0678 (0.0677) loss_cl: -0.3679 (-0.3681) time: 0.8624 data: 0.0002 max mem: 29859 [07:02:29.255642] Epoch: [368] [100/850] eta: 0:11:15 lr: 0.001455 loss: 0.0115 (0.0121) loss_rec_all: 0.0479 (0.0485) loss_rec_sfr: 0.0687 (0.0682) loss_cl: -0.3678 (-0.3680) time: 0.8629 data: 0.0002 max mem: 29859 [07:02:46.526469] Epoch: [368] [120/850] eta: 0:10:52 lr: 0.001455 loss: 0.0124 (0.0123) loss_rec_all: 0.0487 (0.0486) loss_rec_sfr: 0.0719 (0.0687) loss_cl: -0.3674 (-0.3679) time: 0.8635 data: 0.0003 max mem: 29859 [07:03:03.768098] Epoch: [368] [140/850] eta: 0:10:31 lr: 0.001455 loss: 0.0124 (0.0125) loss_rec_all: 0.0488 (0.0488) loss_rec_sfr: 0.0493 (0.0678) loss_cl: -0.3672 (-0.3678) time: 0.8620 data: 0.0002 max mem: 29859 [07:03:21.120019] Epoch: [368] [160/850] eta: 0:10:11 lr: 0.001455 loss: 0.0112 (0.0123) loss_rec_all: 0.0475 (0.0486) loss_rec_sfr: 0.0497 (0.0670) loss_cl: -0.3668 (-0.3677) time: 0.8675 data: 0.0002 max mem: 29859 [07:03:38.384473] Epoch: [368] [180/850] eta: 0:09:52 lr: 0.001455 loss: 0.0122 (0.0124) loss_rec_all: 0.0483 (0.0487) loss_rec_sfr: 0.0578 (0.0674) loss_cl: -0.3668 (-0.3676) time: 0.8632 data: 0.0002 max mem: 29859 [07:03:55.667694] Epoch: [368] [200/850] eta: 0:09:33 lr: 0.001455 loss: 0.0110 (0.0123) loss_rec_all: 0.0473 (0.0486) loss_rec_sfr: 0.0549 (0.0676) loss_cl: -0.3674 (-0.3676) time: 0.8641 data: 0.0002 max mem: 29859 [07:04:12.908226] Epoch: [368] [220/850] eta: 0:09:14 lr: 0.001455 loss: 0.0143 (0.0125) loss_rec_all: 0.0502 (0.0487) loss_rec_sfr: 0.0697 (0.0681) loss_cl: -0.3676 (-0.3676) time: 0.8620 data: 0.0002 max mem: 29859 [07:04:30.196935] Epoch: [368] [240/850] eta: 0:08:56 lr: 0.001455 loss: 0.0127 (0.0125) loss_rec_all: 0.0489 (0.0488) loss_rec_sfr: 0.0530 (0.0685) loss_cl: -0.3674 (-0.3676) time: 0.8644 data: 0.0002 max mem: 29859 [07:04:47.435708] Epoch: [368] [260/850] eta: 0:08:37 lr: 0.001454 loss: 0.0129 (0.0126) loss_rec_all: 0.0489 (0.0489) loss_rec_sfr: 0.0591 (0.0684) loss_cl: -0.3678 (-0.3676) time: 0.8619 data: 0.0002 max mem: 29859 [07:05:04.705822] Epoch: [368] [280/850] eta: 0:08:19 lr: 0.001454 loss: 0.0119 (0.0126) loss_rec_all: 0.0483 (0.0489) loss_rec_sfr: 0.0514 (0.0684) loss_cl: -0.3680 (-0.3676) time: 0.8635 data: 0.0001 max mem: 29859 [07:05:21.952853] Epoch: [368] [300/850] eta: 0:08:01 lr: 0.001454 loss: 0.0132 (0.0127) loss_rec_all: 0.0495 (0.0490) loss_rec_sfr: 0.0700 (0.0685) loss_cl: -0.3676 (-0.3676) time: 0.8623 data: 0.0002 max mem: 29859 [07:05:39.222893] Epoch: [368] [320/850] eta: 0:07:43 lr: 0.001454 loss: 0.0127 (0.0127) loss_rec_all: 0.0488 (0.0489) loss_rec_sfr: 0.0693 (0.0687) loss_cl: -0.3673 (-0.3676) time: 0.8634 data: 0.0002 max mem: 29859 [07:05:56.491934] Epoch: [368] [340/850] eta: 0:07:25 lr: 0.001454 loss: 0.0130 (0.0127) loss_rec_all: 0.0492 (0.0490) loss_rec_sfr: 0.0760 (0.0694) loss_cl: -0.3667 (-0.3675) time: 0.8634 data: 0.0003 max mem: 29859 [07:06:13.770424] Epoch: [368] [360/850] eta: 0:07:08 lr: 0.001454 loss: 0.0120 (0.0127) loss_rec_all: 0.0480 (0.0490) loss_rec_sfr: 0.0571 (0.0693) loss_cl: -0.3665 (-0.3675) time: 0.8639 data: 0.0002 max mem: 29859 [07:06:31.000187] Epoch: [368] [380/850] eta: 0:06:50 lr: 0.001454 loss: 0.0123 (0.0127) loss_rec_all: 0.0484 (0.0490) loss_rec_sfr: 0.0498 (0.0690) loss_cl: -0.3669 (-0.3674) time: 0.8614 data: 0.0005 max mem: 29859 [07:06:48.328949] Epoch: [368] [400/850] eta: 0:06:32 lr: 0.001454 loss: 0.0112 (0.0127) loss_rec_all: 0.0475 (0.0490) loss_rec_sfr: 0.0508 (0.0689) loss_cl: -0.3675 (-0.3674) time: 0.8664 data: 0.0002 max mem: 29859 [07:07:05.562354] Epoch: [368] [420/850] eta: 0:06:15 lr: 0.001454 loss: 0.0115 (0.0127) loss_rec_all: 0.0479 (0.0489) loss_rec_sfr: 0.0529 (0.0687) loss_cl: -0.3678 (-0.3674) time: 0.8616 data: 0.0002 max mem: 29859 [07:07:22.855609] Epoch: [368] [440/850] eta: 0:05:57 lr: 0.001453 loss: 0.0121 (0.0126) loss_rec_all: 0.0484 (0.0489) loss_rec_sfr: 0.0537 (0.0685) loss_cl: -0.3678 (-0.3675) time: 0.8646 data: 0.0002 max mem: 29859 [07:07:40.107918] Epoch: [368] [460/850] eta: 0:05:39 lr: 0.001453 loss: 0.0120 (0.0127) loss_rec_all: 0.0484 (0.0489) loss_rec_sfr: 0.0671 (0.0684) loss_cl: -0.3678 (-0.3675) time: 0.8626 data: 0.0002 max mem: 29859 [07:07:57.394807] Epoch: [368] [480/850] eta: 0:05:22 lr: 0.001453 loss: 0.0138 (0.0127) loss_rec_all: 0.0500 (0.0490) loss_rec_sfr: 0.0720 (0.0686) loss_cl: -0.3672 (-0.3675) time: 0.8643 data: 0.0002 max mem: 29859 [07:08:14.638562] Epoch: [368] [500/850] eta: 0:05:04 lr: 0.001453 loss: 0.0166 (0.0129) loss_rec_all: 0.0527 (0.0492) loss_rec_sfr: 0.0917 (0.0692) loss_cl: -0.3668 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [07:08:31.917013] Epoch: [368] [520/850] eta: 0:04:47 lr: 0.001453 loss: 0.0143 (0.0130) loss_rec_all: 0.0507 (0.0492) loss_rec_sfr: 0.0692 (0.0693) loss_cl: -0.3670 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [07:08:49.170930] Epoch: [368] [540/850] eta: 0:04:29 lr: 0.001453 loss: 0.0131 (0.0130) loss_rec_all: 0.0493 (0.0493) loss_rec_sfr: 0.0530 (0.0694) loss_cl: -0.3674 (-0.3674) time: 0.8626 data: 0.0002 max mem: 29859 [07:09:06.443200] Epoch: [368] [560/850] eta: 0:04:12 lr: 0.001453 loss: 0.0141 (0.0131) loss_rec_all: 0.0505 (0.0493) loss_rec_sfr: 0.0566 (0.0694) loss_cl: -0.3678 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [07:09:23.723131] Epoch: [368] [580/850] eta: 0:03:54 lr: 0.001453 loss: 0.0142 (0.0131) loss_rec_all: 0.0503 (0.0494) loss_rec_sfr: 0.0550 (0.0695) loss_cl: -0.3678 (-0.3674) time: 0.8639 data: 0.0003 max mem: 29859 [07:09:41.030589] Epoch: [368] [600/850] eta: 0:03:37 lr: 0.001453 loss: 0.0127 (0.0131) loss_rec_all: 0.0491 (0.0494) loss_rec_sfr: 0.0533 (0.0694) loss_cl: -0.3675 (-0.3674) time: 0.8653 data: 0.0002 max mem: 29859 [07:09:58.279731] Epoch: [368] [620/850] eta: 0:03:19 lr: 0.001452 loss: 0.0135 (0.0132) loss_rec_all: 0.0498 (0.0494) loss_rec_sfr: 0.0703 (0.0697) loss_cl: -0.3674 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [07:10:15.569106] Epoch: [368] [640/850] eta: 0:03:02 lr: 0.001452 loss: 0.0117 (0.0132) loss_rec_all: 0.0481 (0.0494) loss_rec_sfr: 0.0478 (0.0693) loss_cl: -0.3674 (-0.3674) time: 0.8644 data: 0.0002 max mem: 29859 [07:10:32.798614] Epoch: [368] [660/850] eta: 0:02:45 lr: 0.001452 loss: 0.0132 (0.0132) loss_rec_all: 0.0493 (0.0494) loss_rec_sfr: 0.0856 (0.0696) loss_cl: -0.3677 (-0.3674) time: 0.8614 data: 0.0002 max mem: 29859 [07:10:50.084371] Epoch: [368] [680/850] eta: 0:02:27 lr: 0.001452 loss: 0.0127 (0.0132) loss_rec_all: 0.0491 (0.0494) loss_rec_sfr: 0.0687 (0.0695) loss_cl: -0.3676 (-0.3674) time: 0.8642 data: 0.0002 max mem: 29859 [07:11:07.337144] Epoch: [368] [700/850] eta: 0:02:10 lr: 0.001452 loss: 0.0120 (0.0131) loss_rec_all: 0.0482 (0.0494) loss_rec_sfr: 0.0560 (0.0692) loss_cl: -0.3674 (-0.3674) time: 0.8626 data: 0.0002 max mem: 29859 [07:11:24.638669] Epoch: [368] [720/850] eta: 0:01:52 lr: 0.001452 loss: 0.0113 (0.0131) loss_rec_all: 0.0476 (0.0494) loss_rec_sfr: 0.0527 (0.0692) loss_cl: -0.3674 (-0.3674) time: 0.8650 data: 0.0002 max mem: 29859 [07:11:41.877622] Epoch: [368] [740/850] eta: 0:01:35 lr: 0.001452 loss: 0.0122 (0.0131) loss_rec_all: 0.0485 (0.0494) loss_rec_sfr: 0.0590 (0.0693) loss_cl: -0.3673 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [07:11:59.152335] Epoch: [368] [760/850] eta: 0:01:18 lr: 0.001452 loss: 0.0127 (0.0131) loss_rec_all: 0.0489 (0.0493) loss_rec_sfr: 0.0709 (0.0695) loss_cl: -0.3672 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [07:12:16.413063] Epoch: [368] [780/850] eta: 0:01:00 lr: 0.001452 loss: 0.0123 (0.0131) loss_rec_all: 0.0486 (0.0493) loss_rec_sfr: 0.0550 (0.0695) loss_cl: -0.3671 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [07:12:33.686435] Epoch: [368] [800/850] eta: 0:00:43 lr: 0.001451 loss: 0.0124 (0.0131) loss_rec_all: 0.0488 (0.0493) loss_rec_sfr: 0.0669 (0.0696) loss_cl: -0.3672 (-0.3674) time: 0.8636 data: 0.0003 max mem: 29859 [07:12:50.949334] Epoch: [368] [820/850] eta: 0:00:26 lr: 0.001451 loss: 0.0125 (0.0131) loss_rec_all: 0.0486 (0.0493) loss_rec_sfr: 0.0809 (0.0697) loss_cl: -0.3665 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [07:13:08.274568] Epoch: [368] [840/850] eta: 0:00:08 lr: 0.001451 loss: 0.0116 (0.0130) loss_rec_all: 0.0479 (0.0493) loss_rec_sfr: 0.0678 (0.0697) loss_cl: -0.3670 (-0.3674) time: 0.8662 data: 0.0005 max mem: 29859 [07:13:16.030759] Epoch: [368] [849/850] eta: 0:00:00 lr: 0.001451 loss: 0.0118 (0.0130) loss_rec_all: 0.0480 (0.0493) loss_rec_sfr: 0.0678 (0.0697) loss_cl: -0.3671 (-0.3674) time: 0.8630 data: 0.0004 max mem: 29859 [07:13:16.186790] Epoch: [368] Total time: 0:12:17 (0.8681 s / it) [07:13:16.189222] Averaged stats: lr: 0.001451 loss: 0.0118 (0.0130) loss_rec_all: 0.0480 (0.0493) loss_rec_sfr: 0.0678 (0.0693) loss_cl: -0.3671 (-0.3674) [07:13:16.202013] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [07:13:20.479958] Epoch: [369] [ 0/850] eta: 1:00:35 lr: 0.001451 loss: 0.0121 (0.0121) loss_rec_all: 0.0481 (0.0481) loss_rec_sfr: 0.1065 (0.1065) loss_cl: -0.3679 (-0.3679) time: 4.2771 data: 2.4594 max mem: 29859 [07:13:37.705057] Epoch: [369] [ 20/850] eta: 0:14:09 lr: 0.001451 loss: 0.0109 (0.0121) loss_rec_all: 0.0473 (0.0484) loss_rec_sfr: 0.0462 (0.0639) loss_cl: -0.3675 (-0.3674) time: 0.8612 data: 0.0002 max mem: 29859 [07:13:54.978360] Epoch: [369] [ 40/850] eta: 0:12:46 lr: 0.001451 loss: 0.0109 (0.0117) loss_rec_all: 0.0472 (0.0480) loss_rec_sfr: 0.0481 (0.0636) loss_cl: -0.3683 (-0.3677) time: 0.8636 data: 0.0002 max mem: 29859 [07:14:12.221853] Epoch: [369] [ 60/850] eta: 0:12:05 lr: 0.001451 loss: 0.0113 (0.0116) loss_rec_all: 0.0477 (0.0480) loss_rec_sfr: 0.0543 (0.0648) loss_cl: -0.3685 (-0.3680) time: 0.8621 data: 0.0002 max mem: 29859 [07:14:29.481326] Epoch: [369] [ 80/850] eta: 0:11:36 lr: 0.001451 loss: 0.0116 (0.0118) loss_rec_all: 0.0477 (0.0481) loss_rec_sfr: 0.0686 (0.0660) loss_cl: -0.3682 (-0.3680) time: 0.8629 data: 0.0002 max mem: 29859 [07:14:46.705327] Epoch: [369] [100/850] eta: 0:11:12 lr: 0.001451 loss: 0.0106 (0.0117) loss_rec_all: 0.0470 (0.0480) loss_rec_sfr: 0.0471 (0.0647) loss_cl: -0.3672 (-0.3678) time: 0.8612 data: 0.0002 max mem: 29859 [07:15:04.005785] Epoch: [369] [120/850] eta: 0:10:50 lr: 0.001450 loss: 0.0120 (0.0118) loss_rec_all: 0.0481 (0.0481) loss_rec_sfr: 0.0586 (0.0657) loss_cl: -0.3667 (-0.3676) time: 0.8650 data: 0.0002 max mem: 29859 [07:15:21.236388] Epoch: [369] [140/850] eta: 0:10:29 lr: 0.001450 loss: 0.0117 (0.0119) loss_rec_all: 0.0481 (0.0481) loss_rec_sfr: 0.0491 (0.0652) loss_cl: -0.3663 (-0.3674) time: 0.8615 data: 0.0002 max mem: 29859 [07:15:38.586283] Epoch: [369] [160/850] eta: 0:10:10 lr: 0.001450 loss: 0.0118 (0.0120) loss_rec_all: 0.0480 (0.0482) loss_rec_sfr: 0.0509 (0.0658) loss_cl: -0.3672 (-0.3674) time: 0.8674 data: 0.0002 max mem: 29859 [07:15:55.853937] Epoch: [369] [180/850] eta: 0:09:50 lr: 0.001450 loss: 0.0119 (0.0120) loss_rec_all: 0.0481 (0.0483) loss_rec_sfr: 0.0696 (0.0658) loss_cl: -0.3675 (-0.3674) time: 0.8633 data: 0.0004 max mem: 29859 [07:16:13.142890] Epoch: [369] [200/850] eta: 0:09:32 lr: 0.001450 loss: 0.0119 (0.0121) loss_rec_all: 0.0484 (0.0483) loss_rec_sfr: 0.0507 (0.0659) loss_cl: -0.3677 (-0.3674) time: 0.8644 data: 0.0006 max mem: 29859 [07:16:30.424893] Epoch: [369] [220/850] eta: 0:09:13 lr: 0.001450 loss: 0.0124 (0.0121) loss_rec_all: 0.0485 (0.0484) loss_rec_sfr: 0.0701 (0.0664) loss_cl: -0.3680 (-0.3675) time: 0.8641 data: 0.0002 max mem: 29859 [07:16:47.702935] Epoch: [369] [240/850] eta: 0:08:55 lr: 0.001450 loss: 0.0137 (0.0123) loss_rec_all: 0.0500 (0.0485) loss_rec_sfr: 0.0705 (0.0667) loss_cl: -0.3677 (-0.3675) time: 0.8639 data: 0.0002 max mem: 29859 [07:17:04.949109] Epoch: [369] [260/850] eta: 0:08:37 lr: 0.001450 loss: 0.0123 (0.0123) loss_rec_all: 0.0487 (0.0486) loss_rec_sfr: 0.0534 (0.0666) loss_cl: -0.3673 (-0.3675) time: 0.8623 data: 0.0002 max mem: 29859 [07:17:22.224959] Epoch: [369] [280/850] eta: 0:08:19 lr: 0.001450 loss: 0.0123 (0.0123) loss_rec_all: 0.0485 (0.0486) loss_rec_sfr: 0.0502 (0.0665) loss_cl: -0.3677 (-0.3675) time: 0.8637 data: 0.0002 max mem: 29859 [07:17:39.457117] Epoch: [369] [300/850] eta: 0:08:01 lr: 0.001449 loss: 0.0117 (0.0123) loss_rec_all: 0.0481 (0.0486) loss_rec_sfr: 0.0501 (0.0665) loss_cl: -0.3680 (-0.3675) time: 0.8616 data: 0.0002 max mem: 29859 [07:17:56.758941] Epoch: [369] [320/850] eta: 0:07:43 lr: 0.001449 loss: 0.0125 (0.0123) loss_rec_all: 0.0490 (0.0486) loss_rec_sfr: 0.0776 (0.0671) loss_cl: -0.3675 (-0.3675) time: 0.8650 data: 0.0002 max mem: 29859 [07:18:13.997819] Epoch: [369] [340/850] eta: 0:07:25 lr: 0.001449 loss: 0.0123 (0.0123) loss_rec_all: 0.0487 (0.0486) loss_rec_sfr: 0.0686 (0.0670) loss_cl: -0.3673 (-0.3675) time: 0.8619 data: 0.0002 max mem: 29859 [07:18:31.264020] Epoch: [369] [360/850] eta: 0:07:07 lr: 0.001449 loss: 0.0131 (0.0124) loss_rec_all: 0.0494 (0.0487) loss_rec_sfr: 0.0753 (0.0674) loss_cl: -0.3674 (-0.3675) time: 0.8633 data: 0.0002 max mem: 29859 [07:18:48.476841] Epoch: [369] [380/850] eta: 0:06:49 lr: 0.001449 loss: 0.0136 (0.0125) loss_rec_all: 0.0498 (0.0488) loss_rec_sfr: 0.0523 (0.0678) loss_cl: -0.3672 (-0.3675) time: 0.8606 data: 0.0002 max mem: 29859 [07:19:05.773118] Epoch: [369] [400/850] eta: 0:06:32 lr: 0.001449 loss: 0.0137 (0.0126) loss_rec_all: 0.0497 (0.0488) loss_rec_sfr: 0.0504 (0.0679) loss_cl: -0.3669 (-0.3675) time: 0.8648 data: 0.0003 max mem: 29859 [07:19:23.017745] Epoch: [369] [420/850] eta: 0:06:14 lr: 0.001449 loss: 0.0134 (0.0127) loss_rec_all: 0.0497 (0.0489) loss_rec_sfr: 0.0608 (0.0681) loss_cl: -0.3673 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [07:19:40.262618] Epoch: [369] [440/850] eta: 0:05:57 lr: 0.001449 loss: 0.0128 (0.0127) loss_rec_all: 0.0491 (0.0490) loss_rec_sfr: 0.0560 (0.0682) loss_cl: -0.3672 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [07:19:57.498568] Epoch: [369] [460/850] eta: 0:05:39 lr: 0.001449 loss: 0.0129 (0.0127) loss_rec_all: 0.0491 (0.0490) loss_rec_sfr: 0.0507 (0.0680) loss_cl: -0.3670 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [07:20:14.757605] Epoch: [369] [480/850] eta: 0:05:21 lr: 0.001448 loss: 0.0128 (0.0127) loss_rec_all: 0.0492 (0.0490) loss_rec_sfr: 0.0516 (0.0676) loss_cl: -0.3668 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [07:20:31.963671] Epoch: [369] [500/850] eta: 0:05:04 lr: 0.001448 loss: 0.0115 (0.0127) loss_rec_all: 0.0480 (0.0490) loss_rec_sfr: 0.0493 (0.0672) loss_cl: -0.3673 (-0.3674) time: 0.8602 data: 0.0002 max mem: 29859 [07:20:49.213411] Epoch: [369] [520/850] eta: 0:04:46 lr: 0.001448 loss: 0.0129 (0.0127) loss_rec_all: 0.0489 (0.0490) loss_rec_sfr: 0.0671 (0.0675) loss_cl: -0.3672 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [07:21:06.410615] Epoch: [369] [540/850] eta: 0:04:29 lr: 0.001448 loss: 0.0136 (0.0128) loss_rec_all: 0.0498 (0.0490) loss_rec_sfr: 0.0671 (0.0676) loss_cl: -0.3675 (-0.3674) time: 0.8598 data: 0.0002 max mem: 29859 [07:21:23.651626] Epoch: [369] [560/850] eta: 0:04:11 lr: 0.001448 loss: 0.0123 (0.0128) loss_rec_all: 0.0484 (0.0490) loss_rec_sfr: 0.0514 (0.0676) loss_cl: -0.3674 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [07:21:40.847958] Epoch: [369] [580/850] eta: 0:03:54 lr: 0.001448 loss: 0.0124 (0.0128) loss_rec_all: 0.0485 (0.0490) loss_rec_sfr: 0.0666 (0.0677) loss_cl: -0.3678 (-0.3674) time: 0.8598 data: 0.0002 max mem: 29859 [07:21:58.131577] Epoch: [369] [600/850] eta: 0:03:37 lr: 0.001448 loss: 0.0126 (0.0128) loss_rec_all: 0.0487 (0.0490) loss_rec_sfr: 0.0705 (0.0679) loss_cl: -0.3671 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [07:22:15.374228] Epoch: [369] [620/850] eta: 0:03:19 lr: 0.001448 loss: 0.0114 (0.0127) loss_rec_all: 0.0478 (0.0490) loss_rec_sfr: 0.0489 (0.0676) loss_cl: -0.3675 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [07:22:32.661847] Epoch: [369] [640/850] eta: 0:03:02 lr: 0.001447 loss: 0.0109 (0.0127) loss_rec_all: 0.0474 (0.0489) loss_rec_sfr: 0.0518 (0.0675) loss_cl: -0.3676 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [07:22:49.973658] Epoch: [369] [660/850] eta: 0:02:44 lr: 0.001447 loss: 0.0126 (0.0127) loss_rec_all: 0.0487 (0.0489) loss_rec_sfr: 0.0708 (0.0677) loss_cl: -0.3676 (-0.3674) time: 0.8655 data: 0.0016 max mem: 29859 [07:23:07.274708] Epoch: [369] [680/850] eta: 0:02:27 lr: 0.001447 loss: 0.0113 (0.0127) loss_rec_all: 0.0476 (0.0489) loss_rec_sfr: 0.0570 (0.0679) loss_cl: -0.3672 (-0.3674) time: 0.8650 data: 0.0002 max mem: 29859 [07:23:24.528283] Epoch: [369] [700/850] eta: 0:02:10 lr: 0.001447 loss: 0.0114 (0.0126) loss_rec_all: 0.0478 (0.0489) loss_rec_sfr: 0.0506 (0.0677) loss_cl: -0.3669 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [07:23:41.804032] Epoch: [369] [720/850] eta: 0:01:52 lr: 0.001447 loss: 0.0129 (0.0127) loss_rec_all: 0.0493 (0.0489) loss_rec_sfr: 0.0514 (0.0677) loss_cl: -0.3670 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [07:23:59.020390] Epoch: [369] [740/850] eta: 0:01:35 lr: 0.001447 loss: 0.0126 (0.0127) loss_rec_all: 0.0490 (0.0489) loss_rec_sfr: 0.0721 (0.0678) loss_cl: -0.3674 (-0.3673) time: 0.8608 data: 0.0002 max mem: 29859 [07:24:16.304956] Epoch: [369] [760/850] eta: 0:01:18 lr: 0.001447 loss: 0.0132 (0.0127) loss_rec_all: 0.0493 (0.0490) loss_rec_sfr: 0.0710 (0.0680) loss_cl: -0.3672 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [07:24:33.528477] Epoch: [369] [780/850] eta: 0:01:00 lr: 0.001447 loss: 0.0138 (0.0127) loss_rec_all: 0.0498 (0.0490) loss_rec_sfr: 0.0635 (0.0681) loss_cl: -0.3673 (-0.3673) time: 0.8611 data: 0.0001 max mem: 29859 [07:24:50.791012] Epoch: [369] [800/850] eta: 0:00:43 lr: 0.001447 loss: 0.0119 (0.0127) loss_rec_all: 0.0481 (0.0490) loss_rec_sfr: 0.0531 (0.0682) loss_cl: -0.3676 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [07:25:08.006396] Epoch: [369] [820/850] eta: 0:00:26 lr: 0.001446 loss: 0.0122 (0.0127) loss_rec_all: 0.0485 (0.0490) loss_rec_sfr: 0.0511 (0.0681) loss_cl: -0.3675 (-0.3673) time: 0.8607 data: 0.0001 max mem: 29859 [07:25:25.326505] Epoch: [369] [840/850] eta: 0:00:08 lr: 0.001446 loss: 0.0126 (0.0127) loss_rec_all: 0.0488 (0.0490) loss_rec_sfr: 0.0709 (0.0682) loss_cl: -0.3676 (-0.3673) time: 0.8659 data: 0.0006 max mem: 29859 [07:25:33.109490] Epoch: [369] [849/850] eta: 0:00:00 lr: 0.001446 loss: 0.0124 (0.0127) loss_rec_all: 0.0487 (0.0490) loss_rec_sfr: 0.0601 (0.0682) loss_cl: -0.3677 (-0.3673) time: 0.8669 data: 0.0005 max mem: 29859 [07:25:33.252064] Epoch: [369] Total time: 0:12:17 (0.8671 s / it) [07:25:33.256592] Averaged stats: lr: 0.001446 loss: 0.0124 (0.0127) loss_rec_all: 0.0487 (0.0490) loss_rec_sfr: 0.0601 (0.0674) loss_cl: -0.3677 (-0.3673) [07:25:33.268439] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [07:25:37.636759] Epoch: [370] [ 0/850] eta: 1:01:52 lr: 0.001446 loss: 0.0137 (0.0137) loss_rec_all: 0.0497 (0.0497) loss_rec_sfr: 0.1041 (0.1041) loss_cl: -0.3674 (-0.3674) time: 4.3676 data: 3.5111 max mem: 29859 [07:25:54.850594] Epoch: [370] [ 20/850] eta: 0:14:12 lr: 0.001446 loss: 0.0117 (0.0119) loss_rec_all: 0.0478 (0.0482) loss_rec_sfr: 0.0559 (0.0683) loss_cl: -0.3680 (-0.3679) time: 0.8606 data: 0.0002 max mem: 29859 [07:26:12.133978] Epoch: [370] [ 40/850] eta: 0:12:47 lr: 0.001446 loss: 0.0116 (0.0120) loss_rec_all: 0.0480 (0.0483) loss_rec_sfr: 0.0499 (0.0647) loss_cl: -0.3674 (-0.3676) time: 0.8641 data: 0.0002 max mem: 29859 [07:26:29.374956] Epoch: [370] [ 60/850] eta: 0:12:06 lr: 0.001446 loss: 0.0114 (0.0121) loss_rec_all: 0.0477 (0.0484) loss_rec_sfr: 0.0530 (0.0648) loss_cl: -0.3674 (-0.3675) time: 0.8620 data: 0.0002 max mem: 29859 [07:26:46.647705] Epoch: [370] [ 80/850] eta: 0:11:37 lr: 0.001446 loss: 0.0115 (0.0122) loss_rec_all: 0.0479 (0.0485) loss_rec_sfr: 0.0704 (0.0658) loss_cl: -0.3668 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [07:27:03.878171] Epoch: [370] [100/850] eta: 0:11:12 lr: 0.001446 loss: 0.0112 (0.0122) loss_rec_all: 0.0472 (0.0484) loss_rec_sfr: 0.0480 (0.0652) loss_cl: -0.3673 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [07:27:21.146503] Epoch: [370] [120/850] eta: 0:10:50 lr: 0.001446 loss: 0.0125 (0.0122) loss_rec_all: 0.0488 (0.0485) loss_rec_sfr: 0.0561 (0.0656) loss_cl: -0.3674 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [07:27:38.382192] Epoch: [370] [140/850] eta: 0:10:29 lr: 0.001445 loss: 0.0112 (0.0122) loss_rec_all: 0.0477 (0.0484) loss_rec_sfr: 0.0496 (0.0657) loss_cl: -0.3675 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [07:27:55.642073] Epoch: [370] [160/850] eta: 0:10:10 lr: 0.001445 loss: 0.0112 (0.0122) loss_rec_all: 0.0475 (0.0484) loss_rec_sfr: 0.0515 (0.0662) loss_cl: -0.3674 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [07:28:12.859034] Epoch: [370] [180/850] eta: 0:09:50 lr: 0.001445 loss: 0.0136 (0.0123) loss_rec_all: 0.0496 (0.0486) loss_rec_sfr: 0.0779 (0.0677) loss_cl: -0.3674 (-0.3674) time: 0.8608 data: 0.0002 max mem: 29859 [07:28:30.150331] Epoch: [370] [200/850] eta: 0:09:31 lr: 0.001445 loss: 0.0131 (0.0125) loss_rec_all: 0.0494 (0.0487) loss_rec_sfr: 0.0700 (0.0680) loss_cl: -0.3676 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [07:28:47.404705] Epoch: [370] [220/850] eta: 0:09:13 lr: 0.001445 loss: 0.0124 (0.0125) loss_rec_all: 0.0488 (0.0488) loss_rec_sfr: 0.0488 (0.0675) loss_cl: -0.3678 (-0.3674) time: 0.8627 data: 0.0003 max mem: 29859 [07:29:04.718188] Epoch: [370] [240/850] eta: 0:08:55 lr: 0.001445 loss: 0.0143 (0.0127) loss_rec_all: 0.0503 (0.0490) loss_rec_sfr: 0.0725 (0.0680) loss_cl: -0.3675 (-0.3674) time: 0.8656 data: 0.0002 max mem: 29859 [07:29:21.958752] Epoch: [370] [260/850] eta: 0:08:36 lr: 0.001445 loss: 0.0121 (0.0128) loss_rec_all: 0.0485 (0.0490) loss_rec_sfr: 0.0552 (0.0680) loss_cl: -0.3672 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [07:29:39.258856] Epoch: [370] [280/850] eta: 0:08:18 lr: 0.001445 loss: 0.0136 (0.0128) loss_rec_all: 0.0498 (0.0491) loss_rec_sfr: 0.0554 (0.0681) loss_cl: -0.3669 (-0.3674) time: 0.8650 data: 0.0002 max mem: 29859 [07:29:56.501165] Epoch: [370] [300/850] eta: 0:08:00 lr: 0.001445 loss: 0.0122 (0.0128) loss_rec_all: 0.0485 (0.0491) loss_rec_sfr: 0.0507 (0.0679) loss_cl: -0.3672 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [07:30:13.793993] Epoch: [370] [320/850] eta: 0:07:43 lr: 0.001444 loss: 0.0110 (0.0128) loss_rec_all: 0.0471 (0.0490) loss_rec_sfr: 0.0719 (0.0681) loss_cl: -0.3674 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [07:30:31.032564] Epoch: [370] [340/850] eta: 0:07:25 lr: 0.001444 loss: 0.0130 (0.0128) loss_rec_all: 0.0493 (0.0491) loss_rec_sfr: 0.0707 (0.0682) loss_cl: -0.3677 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [07:30:48.305963] Epoch: [370] [360/850] eta: 0:07:07 lr: 0.001444 loss: 0.0126 (0.0129) loss_rec_all: 0.0488 (0.0491) loss_rec_sfr: 0.0690 (0.0682) loss_cl: -0.3681 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [07:31:05.560393] Epoch: [370] [380/850] eta: 0:06:49 lr: 0.001444 loss: 0.0113 (0.0128) loss_rec_all: 0.0477 (0.0491) loss_rec_sfr: 0.0501 (0.0678) loss_cl: -0.3680 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [07:31:22.835708] Epoch: [370] [400/850] eta: 0:06:32 lr: 0.001444 loss: 0.0121 (0.0128) loss_rec_all: 0.0484 (0.0491) loss_rec_sfr: 0.0579 (0.0676) loss_cl: -0.3674 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [07:31:40.106214] Epoch: [370] [420/850] eta: 0:06:14 lr: 0.001444 loss: 0.0132 (0.0129) loss_rec_all: 0.0494 (0.0491) loss_rec_sfr: 0.0698 (0.0678) loss_cl: -0.3670 (-0.3674) time: 0.8635 data: 0.0003 max mem: 29859 [07:31:57.420070] Epoch: [370] [440/850] eta: 0:05:57 lr: 0.001444 loss: 0.0129 (0.0129) loss_rec_all: 0.0492 (0.0491) loss_rec_sfr: 0.0687 (0.0681) loss_cl: -0.3676 (-0.3674) time: 0.8656 data: 0.0002 max mem: 29859 [07:32:14.657414] Epoch: [370] [460/850] eta: 0:05:39 lr: 0.001444 loss: 0.0126 (0.0129) loss_rec_all: 0.0490 (0.0491) loss_rec_sfr: 0.0560 (0.0681) loss_cl: -0.3676 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [07:32:31.978259] Epoch: [370] [480/850] eta: 0:05:22 lr: 0.001444 loss: 0.0119 (0.0128) loss_rec_all: 0.0481 (0.0491) loss_rec_sfr: 0.0572 (0.0682) loss_cl: -0.3676 (-0.3674) time: 0.8660 data: 0.0004 max mem: 29859 [07:32:49.214736] Epoch: [370] [500/850] eta: 0:05:04 lr: 0.001443 loss: 0.0122 (0.0129) loss_rec_all: 0.0486 (0.0491) loss_rec_sfr: 0.0675 (0.0683) loss_cl: -0.3674 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [07:33:06.511649] Epoch: [370] [520/850] eta: 0:04:47 lr: 0.001443 loss: 0.0131 (0.0129) loss_rec_all: 0.0491 (0.0491) loss_rec_sfr: 0.0724 (0.0686) loss_cl: -0.3679 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [07:33:23.762499] Epoch: [370] [540/850] eta: 0:04:29 lr: 0.001443 loss: 0.0123 (0.0129) loss_rec_all: 0.0487 (0.0491) loss_rec_sfr: 0.0687 (0.0686) loss_cl: -0.3678 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [07:33:41.023141] Epoch: [370] [560/850] eta: 0:04:12 lr: 0.001443 loss: 0.0116 (0.0128) loss_rec_all: 0.0479 (0.0491) loss_rec_sfr: 0.0528 (0.0686) loss_cl: -0.3674 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [07:33:58.280498] Epoch: [370] [580/850] eta: 0:03:54 lr: 0.001443 loss: 0.0122 (0.0129) loss_rec_all: 0.0484 (0.0491) loss_rec_sfr: 0.0723 (0.0686) loss_cl: -0.3673 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [07:34:15.544884] Epoch: [370] [600/850] eta: 0:03:37 lr: 0.001443 loss: 0.0119 (0.0129) loss_rec_all: 0.0481 (0.0491) loss_rec_sfr: 0.0571 (0.0687) loss_cl: -0.3670 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [07:34:32.798317] Epoch: [370] [620/850] eta: 0:03:19 lr: 0.001443 loss: 0.0116 (0.0128) loss_rec_all: 0.0480 (0.0491) loss_rec_sfr: 0.0486 (0.0684) loss_cl: -0.3668 (-0.3674) time: 0.8626 data: 0.0003 max mem: 29859 [07:34:50.081522] Epoch: [370] [640/850] eta: 0:03:02 lr: 0.001443 loss: 0.0124 (0.0128) loss_rec_all: 0.0485 (0.0491) loss_rec_sfr: 0.0547 (0.0685) loss_cl: -0.3665 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [07:35:07.337573] Epoch: [370] [660/850] eta: 0:02:45 lr: 0.001443 loss: 0.0116 (0.0128) loss_rec_all: 0.0477 (0.0491) loss_rec_sfr: 0.0483 (0.0683) loss_cl: -0.3664 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [07:35:24.669483] Epoch: [370] [680/850] eta: 0:02:27 lr: 0.001442 loss: 0.0128 (0.0128) loss_rec_all: 0.0490 (0.0491) loss_rec_sfr: 0.0561 (0.0684) loss_cl: -0.3668 (-0.3673) time: 0.8666 data: 0.0002 max mem: 29859 [07:35:41.906509] Epoch: [370] [700/850] eta: 0:02:10 lr: 0.001442 loss: 0.0127 (0.0128) loss_rec_all: 0.0490 (0.0491) loss_rec_sfr: 0.0674 (0.0685) loss_cl: -0.3673 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [07:35:59.210823] Epoch: [370] [720/850] eta: 0:01:52 lr: 0.001442 loss: 0.0116 (0.0128) loss_rec_all: 0.0477 (0.0491) loss_rec_sfr: 0.0531 (0.0685) loss_cl: -0.3682 (-0.3673) time: 0.8652 data: 0.0002 max mem: 29859 [07:36:16.437044] Epoch: [370] [740/850] eta: 0:01:35 lr: 0.001442 loss: 0.0109 (0.0128) loss_rec_all: 0.0475 (0.0490) loss_rec_sfr: 0.0472 (0.0682) loss_cl: -0.3687 (-0.3674) time: 0.8613 data: 0.0002 max mem: 29859 [07:36:33.719265] Epoch: [370] [760/850] eta: 0:01:18 lr: 0.001442 loss: 0.0126 (0.0128) loss_rec_all: 0.0489 (0.0490) loss_rec_sfr: 0.0740 (0.0685) loss_cl: -0.3685 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [07:36:50.974430] Epoch: [370] [780/850] eta: 0:01:00 lr: 0.001442 loss: 0.0112 (0.0128) loss_rec_all: 0.0476 (0.0490) loss_rec_sfr: 0.0479 (0.0684) loss_cl: -0.3677 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [07:37:08.236307] Epoch: [370] [800/850] eta: 0:00:43 lr: 0.001442 loss: 0.0116 (0.0128) loss_rec_all: 0.0480 (0.0490) loss_rec_sfr: 0.0496 (0.0682) loss_cl: -0.3671 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [07:37:25.476807] Epoch: [370] [820/850] eta: 0:00:26 lr: 0.001442 loss: 0.0137 (0.0128) loss_rec_all: 0.0497 (0.0490) loss_rec_sfr: 0.0689 (0.0684) loss_cl: -0.3669 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [07:37:42.735686] Epoch: [370] [840/850] eta: 0:00:08 lr: 0.001441 loss: 0.0149 (0.0128) loss_rec_all: 0.0513 (0.0491) loss_rec_sfr: 0.0723 (0.0687) loss_cl: -0.3667 (-0.3674) time: 0.8629 data: 0.0004 max mem: 29859 [07:37:50.498619] Epoch: [370] [849/850] eta: 0:00:00 lr: 0.001441 loss: 0.0142 (0.0128) loss_rec_all: 0.0506 (0.0491) loss_rec_sfr: 0.0731 (0.0689) loss_cl: -0.3670 (-0.3674) time: 0.8634 data: 0.0004 max mem: 29859 [07:37:50.615830] Epoch: [370] Total time: 0:12:17 (0.8675 s / it) [07:37:50.641156] Averaged stats: lr: 0.001441 loss: 0.0142 (0.0129) loss_rec_all: 0.0506 (0.0491) loss_rec_sfr: 0.0731 (0.0689) loss_cl: -0.3670 (-0.3673) [07:37:50.648498] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [07:37:55.905809] Epoch: [371] [ 0/850] eta: 1:14:27 lr: 0.001441 loss: 0.0195 (0.0195) loss_rec_all: 0.0557 (0.0557) loss_rec_sfr: 0.0762 (0.0762) loss_cl: -0.3667 (-0.3667) time: 5.2564 data: 4.3906 max mem: 29859 [07:38:13.156579] Epoch: [371] [ 20/850] eta: 0:14:49 lr: 0.001441 loss: 0.0140 (0.0149) loss_rec_all: 0.0503 (0.0510) loss_rec_sfr: 0.0736 (0.0833) loss_cl: -0.3673 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [07:38:30.383195] Epoch: [371] [ 40/850] eta: 0:13:04 lr: 0.001441 loss: 0.0142 (0.0146) loss_rec_all: 0.0505 (0.0508) loss_rec_sfr: 0.0644 (0.0776) loss_cl: -0.3673 (-0.3672) time: 0.8612 data: 0.0002 max mem: 29859 [07:38:47.645614] Epoch: [371] [ 60/850] eta: 0:12:18 lr: 0.001441 loss: 0.0130 (0.0141) loss_rec_all: 0.0494 (0.0503) loss_rec_sfr: 0.0867 (0.0802) loss_cl: -0.3679 (-0.3674) time: 0.8631 data: 0.0010 max mem: 29859 [07:39:04.902673] Epoch: [371] [ 80/850] eta: 0:11:45 lr: 0.001441 loss: 0.0123 (0.0138) loss_rec_all: 0.0486 (0.0500) loss_rec_sfr: 0.0692 (0.0782) loss_cl: -0.3673 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [07:39:22.127605] Epoch: [371] [100/850] eta: 0:11:19 lr: 0.001441 loss: 0.0138 (0.0137) loss_rec_all: 0.0498 (0.0499) loss_rec_sfr: 0.0684 (0.0766) loss_cl: -0.3671 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [07:39:39.411042] Epoch: [371] [120/850] eta: 0:10:56 lr: 0.001441 loss: 0.0117 (0.0135) loss_rec_all: 0.0482 (0.0497) loss_rec_sfr: 0.0487 (0.0742) loss_cl: -0.3679 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [07:39:56.645720] Epoch: [371] [140/850] eta: 0:10:34 lr: 0.001441 loss: 0.0115 (0.0133) loss_rec_all: 0.0480 (0.0496) loss_rec_sfr: 0.0525 (0.0735) loss_cl: -0.3679 (-0.3675) time: 0.8617 data: 0.0002 max mem: 29859 [07:40:13.934174] Epoch: [371] [160/850] eta: 0:10:14 lr: 0.001440 loss: 0.0117 (0.0132) loss_rec_all: 0.0481 (0.0494) loss_rec_sfr: 0.0489 (0.0724) loss_cl: -0.3684 (-0.3676) time: 0.8644 data: 0.0002 max mem: 29859 [07:40:31.163656] Epoch: [371] [180/850] eta: 0:09:54 lr: 0.001440 loss: 0.0106 (0.0129) loss_rec_all: 0.0471 (0.0492) loss_rec_sfr: 0.0462 (0.0707) loss_cl: -0.3682 (-0.3677) time: 0.8614 data: 0.0002 max mem: 29859 [07:40:48.449940] Epoch: [371] [200/850] eta: 0:09:34 lr: 0.001440 loss: 0.0113 (0.0128) loss_rec_all: 0.0478 (0.0491) loss_rec_sfr: 0.0478 (0.0691) loss_cl: -0.3681 (-0.3677) time: 0.8643 data: 0.0002 max mem: 29859 [07:41:05.678110] Epoch: [371] [220/850] eta: 0:09:15 lr: 0.001440 loss: 0.0113 (0.0127) loss_rec_all: 0.0476 (0.0490) loss_rec_sfr: 0.0504 (0.0684) loss_cl: -0.3674 (-0.3677) time: 0.8614 data: 0.0002 max mem: 29859 [07:41:22.967977] Epoch: [371] [240/850] eta: 0:08:57 lr: 0.001440 loss: 0.0113 (0.0127) loss_rec_all: 0.0477 (0.0490) loss_rec_sfr: 0.0526 (0.0678) loss_cl: -0.3671 (-0.3676) time: 0.8644 data: 0.0002 max mem: 29859 [07:41:40.249920] Epoch: [371] [260/850] eta: 0:08:38 lr: 0.001440 loss: 0.0118 (0.0127) loss_rec_all: 0.0482 (0.0489) loss_rec_sfr: 0.0697 (0.0681) loss_cl: -0.3673 (-0.3676) time: 0.8640 data: 0.0002 max mem: 29859 [07:41:57.517110] Epoch: [371] [280/850] eta: 0:08:20 lr: 0.001440 loss: 0.0115 (0.0126) loss_rec_all: 0.0478 (0.0489) loss_rec_sfr: 0.0470 (0.0672) loss_cl: -0.3672 (-0.3675) time: 0.8633 data: 0.0002 max mem: 29859 [07:42:14.779218] Epoch: [371] [300/850] eta: 0:08:02 lr: 0.001440 loss: 0.0109 (0.0126) loss_rec_all: 0.0473 (0.0489) loss_rec_sfr: 0.0681 (0.0675) loss_cl: -0.3670 (-0.3675) time: 0.8630 data: 0.0003 max mem: 29859 [07:42:32.044033] Epoch: [371] [320/850] eta: 0:07:44 lr: 0.001440 loss: 0.0116 (0.0126) loss_rec_all: 0.0480 (0.0488) loss_rec_sfr: 0.0682 (0.0675) loss_cl: -0.3668 (-0.3675) time: 0.8632 data: 0.0002 max mem: 29859 [07:42:49.285835] Epoch: [371] [340/850] eta: 0:07:26 lr: 0.001439 loss: 0.0124 (0.0126) loss_rec_all: 0.0485 (0.0488) loss_rec_sfr: 0.0729 (0.0679) loss_cl: -0.3670 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [07:43:06.584288] Epoch: [371] [360/850] eta: 0:07:08 lr: 0.001439 loss: 0.0119 (0.0126) loss_rec_all: 0.0481 (0.0488) loss_rec_sfr: 0.0530 (0.0680) loss_cl: -0.3667 (-0.3674) time: 0.8649 data: 0.0002 max mem: 29859 [07:43:23.811374] Epoch: [371] [380/850] eta: 0:06:50 lr: 0.001439 loss: 0.0127 (0.0126) loss_rec_all: 0.0487 (0.0488) loss_rec_sfr: 0.0542 (0.0679) loss_cl: -0.3670 (-0.3674) time: 0.8613 data: 0.0002 max mem: 29859 [07:43:41.109191] Epoch: [371] [400/850] eta: 0:06:33 lr: 0.001439 loss: 0.0132 (0.0126) loss_rec_all: 0.0495 (0.0489) loss_rec_sfr: 0.0681 (0.0680) loss_cl: -0.3676 (-0.3674) time: 0.8648 data: 0.0003 max mem: 29859 [07:43:58.347268] Epoch: [371] [420/850] eta: 0:06:15 lr: 0.001439 loss: 0.0140 (0.0127) loss_rec_all: 0.0504 (0.0490) loss_rec_sfr: 0.0790 (0.0686) loss_cl: -0.3679 (-0.3674) time: 0.8618 data: 0.0003 max mem: 29859 [07:44:15.671317] Epoch: [371] [440/850] eta: 0:05:57 lr: 0.001439 loss: 0.0149 (0.0128) loss_rec_all: 0.0509 (0.0491) loss_rec_sfr: 0.0745 (0.0690) loss_cl: -0.3679 (-0.3674) time: 0.8661 data: 0.0002 max mem: 29859 [07:44:32.943894] Epoch: [371] [460/850] eta: 0:05:40 lr: 0.001439 loss: 0.0138 (0.0129) loss_rec_all: 0.0498 (0.0491) loss_rec_sfr: 0.0515 (0.0689) loss_cl: -0.3673 (-0.3674) time: 0.8636 data: 0.0003 max mem: 29859 [07:44:50.240854] Epoch: [371] [480/850] eta: 0:05:22 lr: 0.001439 loss: 0.0126 (0.0129) loss_rec_all: 0.0490 (0.0491) loss_rec_sfr: 0.0530 (0.0689) loss_cl: -0.3669 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [07:45:07.492900] Epoch: [371] [500/850] eta: 0:05:05 lr: 0.001439 loss: 0.0135 (0.0129) loss_rec_all: 0.0497 (0.0492) loss_rec_sfr: 0.0656 (0.0689) loss_cl: -0.3668 (-0.3674) time: 0.8626 data: 0.0002 max mem: 29859 [07:45:24.777307] Epoch: [371] [520/850] eta: 0:04:47 lr: 0.001438 loss: 0.0115 (0.0129) loss_rec_all: 0.0480 (0.0491) loss_rec_sfr: 0.0482 (0.0684) loss_cl: -0.3675 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [07:45:42.040796] Epoch: [371] [540/850] eta: 0:04:30 lr: 0.001438 loss: 0.0112 (0.0128) loss_rec_all: 0.0473 (0.0491) loss_rec_sfr: 0.0514 (0.0681) loss_cl: -0.3681 (-0.3674) time: 0.8631 data: 0.0003 max mem: 29859 [07:45:59.321803] Epoch: [371] [560/850] eta: 0:04:12 lr: 0.001438 loss: 0.0120 (0.0128) loss_rec_all: 0.0486 (0.0491) loss_rec_sfr: 0.0713 (0.0682) loss_cl: -0.3684 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [07:46:16.596304] Epoch: [371] [580/850] eta: 0:03:55 lr: 0.001438 loss: 0.0116 (0.0128) loss_rec_all: 0.0480 (0.0491) loss_rec_sfr: 0.0477 (0.0680) loss_cl: -0.3675 (-0.3674) time: 0.8636 data: 0.0003 max mem: 29859 [07:46:33.886659] Epoch: [371] [600/850] eta: 0:03:37 lr: 0.001438 loss: 0.0131 (0.0128) loss_rec_all: 0.0491 (0.0491) loss_rec_sfr: 0.0652 (0.0680) loss_cl: -0.3669 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [07:46:51.134365] Epoch: [371] [620/850] eta: 0:03:20 lr: 0.001438 loss: 0.0124 (0.0128) loss_rec_all: 0.0486 (0.0491) loss_rec_sfr: 0.0695 (0.0681) loss_cl: -0.3667 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [07:47:08.448156] Epoch: [371] [640/850] eta: 0:03:02 lr: 0.001438 loss: 0.0114 (0.0128) loss_rec_all: 0.0478 (0.0491) loss_rec_sfr: 0.0479 (0.0679) loss_cl: -0.3666 (-0.3674) time: 0.8656 data: 0.0004 max mem: 29859 [07:47:25.696460] Epoch: [371] [660/850] eta: 0:02:45 lr: 0.001438 loss: 0.0123 (0.0128) loss_rec_all: 0.0485 (0.0491) loss_rec_sfr: 0.0528 (0.0678) loss_cl: -0.3672 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [07:47:43.069746] Epoch: [371] [680/850] eta: 0:02:27 lr: 0.001438 loss: 0.0118 (0.0128) loss_rec_all: 0.0480 (0.0490) loss_rec_sfr: 0.0694 (0.0679) loss_cl: -0.3680 (-0.3674) time: 0.8686 data: 0.0004 max mem: 29859 [07:48:00.307535] Epoch: [371] [700/850] eta: 0:02:10 lr: 0.001437 loss: 0.0119 (0.0128) loss_rec_all: 0.0482 (0.0490) loss_rec_sfr: 0.0502 (0.0677) loss_cl: -0.3681 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [07:48:17.587065] Epoch: [371] [720/850] eta: 0:01:53 lr: 0.001437 loss: 0.0116 (0.0127) loss_rec_all: 0.0477 (0.0490) loss_rec_sfr: 0.0534 (0.0678) loss_cl: -0.3680 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [07:48:34.857574] Epoch: [371] [740/850] eta: 0:01:35 lr: 0.001437 loss: 0.0116 (0.0127) loss_rec_all: 0.0478 (0.0490) loss_rec_sfr: 0.0522 (0.0677) loss_cl: -0.3675 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [07:48:52.162627] Epoch: [371] [760/850] eta: 0:01:18 lr: 0.001437 loss: 0.0139 (0.0128) loss_rec_all: 0.0503 (0.0491) loss_rec_sfr: 0.0773 (0.0678) loss_cl: -0.3675 (-0.3674) time: 0.8652 data: 0.0003 max mem: 29859 [07:49:09.412284] Epoch: [371] [780/850] eta: 0:01:00 lr: 0.001437 loss: 0.0151 (0.0128) loss_rec_all: 0.0510 (0.0491) loss_rec_sfr: 0.0684 (0.0679) loss_cl: -0.3672 (-0.3674) time: 0.8624 data: 0.0003 max mem: 29859 [07:49:26.685738] Epoch: [371] [800/850] eta: 0:00:43 lr: 0.001437 loss: 0.0122 (0.0128) loss_rec_all: 0.0483 (0.0491) loss_rec_sfr: 0.0495 (0.0679) loss_cl: -0.3675 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [07:49:43.940123] Epoch: [371] [820/850] eta: 0:00:26 lr: 0.001437 loss: 0.0127 (0.0128) loss_rec_all: 0.0489 (0.0491) loss_rec_sfr: 0.0562 (0.0679) loss_cl: -0.3677 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [07:50:01.215768] Epoch: [371] [840/850] eta: 0:00:08 lr: 0.001437 loss: 0.0121 (0.0128) loss_rec_all: 0.0485 (0.0491) loss_rec_sfr: 0.0505 (0.0679) loss_cl: -0.3675 (-0.3674) time: 0.8637 data: 0.0005 max mem: 29859 [07:50:08.967994] Epoch: [371] [849/850] eta: 0:00:00 lr: 0.001437 loss: 0.0118 (0.0128) loss_rec_all: 0.0482 (0.0491) loss_rec_sfr: 0.0490 (0.0678) loss_cl: -0.3672 (-0.3674) time: 0.8632 data: 0.0005 max mem: 29859 [07:50:09.087860] Epoch: [371] Total time: 0:12:18 (0.8688 s / it) [07:50:09.095937] Averaged stats: lr: 0.001437 loss: 0.0118 (0.0128) loss_rec_all: 0.0482 (0.0491) loss_rec_sfr: 0.0490 (0.0682) loss_cl: -0.3672 (-0.3674) [07:50:09.106749] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [07:50:13.159395] Epoch: [372] [ 0/850] eta: 0:57:24 lr: 0.001437 loss: 0.0105 (0.0105) loss_rec_all: 0.0469 (0.0469) loss_rec_sfr: 0.0465 (0.0465) loss_cl: -0.3677 (-0.3677) time: 4.0519 data: 3.1501 max mem: 29859 [07:50:30.401126] Epoch: [372] [ 20/850] eta: 0:14:01 lr: 0.001436 loss: 0.0116 (0.0124) loss_rec_all: 0.0480 (0.0486) loss_rec_sfr: 0.0565 (0.0658) loss_cl: -0.3675 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [07:50:47.664864] Epoch: [372] [ 40/850] eta: 0:12:41 lr: 0.001436 loss: 0.0111 (0.0119) loss_rec_all: 0.0473 (0.0482) loss_rec_sfr: 0.0507 (0.0648) loss_cl: -0.3670 (-0.3671) time: 0.8631 data: 0.0002 max mem: 29859 [07:51:04.953522] Epoch: [372] [ 60/850] eta: 0:12:03 lr: 0.001436 loss: 0.0110 (0.0117) loss_rec_all: 0.0474 (0.0480) loss_rec_sfr: 0.0474 (0.0638) loss_cl: -0.3672 (-0.3671) time: 0.8644 data: 0.0002 max mem: 29859 [07:51:22.268489] Epoch: [372] [ 80/850] eta: 0:11:35 lr: 0.001436 loss: 0.0127 (0.0119) loss_rec_all: 0.0488 (0.0482) loss_rec_sfr: 0.0708 (0.0661) loss_cl: -0.3670 (-0.3671) time: 0.8657 data: 0.0002 max mem: 29859 [07:51:39.510631] Epoch: [372] [100/850] eta: 0:11:11 lr: 0.001436 loss: 0.0106 (0.0119) loss_rec_all: 0.0469 (0.0481) loss_rec_sfr: 0.0503 (0.0651) loss_cl: -0.3672 (-0.3671) time: 0.8621 data: 0.0002 max mem: 29859 [07:51:56.806797] Epoch: [372] [120/850] eta: 0:10:49 lr: 0.001436 loss: 0.0118 (0.0119) loss_rec_all: 0.0480 (0.0481) loss_rec_sfr: 0.0528 (0.0656) loss_cl: -0.3674 (-0.3672) time: 0.8648 data: 0.0002 max mem: 29859 [07:52:14.041494] Epoch: [372] [140/850] eta: 0:10:29 lr: 0.001436 loss: 0.0113 (0.0118) loss_rec_all: 0.0476 (0.0481) loss_rec_sfr: 0.0515 (0.0661) loss_cl: -0.3680 (-0.3673) time: 0.8617 data: 0.0001 max mem: 29859 [07:52:31.334940] Epoch: [372] [160/850] eta: 0:10:09 lr: 0.001436 loss: 0.0125 (0.0119) loss_rec_all: 0.0487 (0.0482) loss_rec_sfr: 0.0737 (0.0671) loss_cl: -0.3677 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [07:52:48.567564] Epoch: [372] [180/850] eta: 0:09:50 lr: 0.001436 loss: 0.0126 (0.0120) loss_rec_all: 0.0489 (0.0483) loss_rec_sfr: 0.0527 (0.0661) loss_cl: -0.3677 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [07:53:05.830759] Epoch: [372] [200/850] eta: 0:09:31 lr: 0.001435 loss: 0.0147 (0.0125) loss_rec_all: 0.0511 (0.0488) loss_rec_sfr: 0.0840 (0.0674) loss_cl: -0.3671 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [07:53:23.067097] Epoch: [372] [220/850] eta: 0:09:12 lr: 0.001435 loss: 0.0128 (0.0126) loss_rec_all: 0.0490 (0.0489) loss_rec_sfr: 0.0504 (0.0669) loss_cl: -0.3673 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [07:53:40.340198] Epoch: [372] [240/850] eta: 0:08:54 lr: 0.001435 loss: 0.0145 (0.0128) loss_rec_all: 0.0504 (0.0491) loss_rec_sfr: 0.0628 (0.0671) loss_cl: -0.3671 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [07:53:57.635442] Epoch: [372] [260/850] eta: 0:08:36 lr: 0.001435 loss: 0.0136 (0.0130) loss_rec_all: 0.0498 (0.0492) loss_rec_sfr: 0.0548 (0.0671) loss_cl: -0.3670 (-0.3673) time: 0.8647 data: 0.0004 max mem: 29859 [07:54:14.965382] Epoch: [372] [280/850] eta: 0:08:18 lr: 0.001435 loss: 0.0124 (0.0130) loss_rec_all: 0.0488 (0.0492) loss_rec_sfr: 0.0557 (0.0672) loss_cl: -0.3672 (-0.3672) time: 0.8665 data: 0.0006 max mem: 29859 [07:54:32.180450] Epoch: [372] [300/850] eta: 0:08:00 lr: 0.001435 loss: 0.0118 (0.0130) loss_rec_all: 0.0481 (0.0492) loss_rec_sfr: 0.0529 (0.0671) loss_cl: -0.3672 (-0.3672) time: 0.8607 data: 0.0002 max mem: 29859 [07:54:49.487061] Epoch: [372] [320/850] eta: 0:07:42 lr: 0.001435 loss: 0.0130 (0.0130) loss_rec_all: 0.0490 (0.0492) loss_rec_sfr: 0.0709 (0.0674) loss_cl: -0.3672 (-0.3672) time: 0.8653 data: 0.0002 max mem: 29859 [07:55:06.723499] Epoch: [372] [340/850] eta: 0:07:25 lr: 0.001435 loss: 0.0121 (0.0129) loss_rec_all: 0.0484 (0.0492) loss_rec_sfr: 0.0685 (0.0675) loss_cl: -0.3670 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [07:55:24.027622] Epoch: [372] [360/850] eta: 0:07:07 lr: 0.001434 loss: 0.0128 (0.0129) loss_rec_all: 0.0489 (0.0492) loss_rec_sfr: 0.0718 (0.0679) loss_cl: -0.3674 (-0.3672) time: 0.8652 data: 0.0002 max mem: 29859 [07:55:41.262129] Epoch: [372] [380/850] eta: 0:06:49 lr: 0.001434 loss: 0.0119 (0.0129) loss_rec_all: 0.0481 (0.0492) loss_rec_sfr: 0.0722 (0.0682) loss_cl: -0.3675 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [07:55:58.549152] Epoch: [372] [400/850] eta: 0:06:32 lr: 0.001434 loss: 0.0130 (0.0129) loss_rec_all: 0.0492 (0.0492) loss_rec_sfr: 0.0719 (0.0685) loss_cl: -0.3680 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [07:56:15.799175] Epoch: [372] [420/850] eta: 0:06:14 lr: 0.001434 loss: 0.0126 (0.0129) loss_rec_all: 0.0489 (0.0492) loss_rec_sfr: 0.0663 (0.0687) loss_cl: -0.3677 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [07:56:33.062291] Epoch: [372] [440/850] eta: 0:05:56 lr: 0.001434 loss: 0.0121 (0.0129) loss_rec_all: 0.0486 (0.0492) loss_rec_sfr: 0.0494 (0.0684) loss_cl: -0.3671 (-0.3673) time: 0.8631 data: 0.0001 max mem: 29859 [07:56:50.318224] Epoch: [372] [460/850] eta: 0:05:39 lr: 0.001434 loss: 0.0128 (0.0130) loss_rec_all: 0.0490 (0.0492) loss_rec_sfr: 0.0546 (0.0683) loss_cl: -0.3666 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [07:57:07.612887] Epoch: [372] [480/850] eta: 0:05:21 lr: 0.001434 loss: 0.0129 (0.0130) loss_rec_all: 0.0490 (0.0492) loss_rec_sfr: 0.0708 (0.0685) loss_cl: -0.3662 (-0.3672) time: 0.8647 data: 0.0002 max mem: 29859 [07:57:24.899784] Epoch: [372] [500/850] eta: 0:05:04 lr: 0.001434 loss: 0.0129 (0.0130) loss_rec_all: 0.0489 (0.0492) loss_rec_sfr: 0.0531 (0.0684) loss_cl: -0.3666 (-0.3672) time: 0.8643 data: 0.0002 max mem: 29859 [07:57:42.207797] Epoch: [372] [520/850] eta: 0:04:46 lr: 0.001434 loss: 0.0132 (0.0130) loss_rec_all: 0.0495 (0.0492) loss_rec_sfr: 0.0555 (0.0686) loss_cl: -0.3674 (-0.3672) time: 0.8653 data: 0.0002 max mem: 29859 [07:57:59.438970] Epoch: [372] [540/850] eta: 0:04:29 lr: 0.001433 loss: 0.0122 (0.0130) loss_rec_all: 0.0485 (0.0492) loss_rec_sfr: 0.0530 (0.0685) loss_cl: -0.3680 (-0.3672) time: 0.8615 data: 0.0002 max mem: 29859 [07:58:16.717130] Epoch: [372] [560/850] eta: 0:04:12 lr: 0.001433 loss: 0.0115 (0.0129) loss_rec_all: 0.0479 (0.0492) loss_rec_sfr: 0.0504 (0.0683) loss_cl: -0.3683 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [07:58:33.944789] Epoch: [372] [580/850] eta: 0:03:54 lr: 0.001433 loss: 0.0110 (0.0129) loss_rec_all: 0.0474 (0.0492) loss_rec_sfr: 0.0501 (0.0682) loss_cl: -0.3684 (-0.3673) time: 0.8613 data: 0.0002 max mem: 29859 [07:58:51.228588] Epoch: [372] [600/850] eta: 0:03:37 lr: 0.001433 loss: 0.0118 (0.0129) loss_rec_all: 0.0483 (0.0491) loss_rec_sfr: 0.0516 (0.0682) loss_cl: -0.3681 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [07:59:08.451323] Epoch: [372] [620/850] eta: 0:03:19 lr: 0.001433 loss: 0.0111 (0.0129) loss_rec_all: 0.0475 (0.0491) loss_rec_sfr: 0.0505 (0.0681) loss_cl: -0.3678 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [07:59:25.724005] Epoch: [372] [640/850] eta: 0:03:02 lr: 0.001433 loss: 0.0120 (0.0129) loss_rec_all: 0.0483 (0.0491) loss_rec_sfr: 0.0683 (0.0683) loss_cl: -0.3675 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [07:59:42.956945] Epoch: [372] [660/850] eta: 0:02:44 lr: 0.001433 loss: 0.0116 (0.0128) loss_rec_all: 0.0480 (0.0491) loss_rec_sfr: 0.0508 (0.0681) loss_cl: -0.3669 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [08:00:00.230160] Epoch: [372] [680/850] eta: 0:02:27 lr: 0.001433 loss: 0.0122 (0.0128) loss_rec_all: 0.0483 (0.0491) loss_rec_sfr: 0.0666 (0.0682) loss_cl: -0.3668 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [08:00:17.522620] Epoch: [372] [700/850] eta: 0:02:10 lr: 0.001433 loss: 0.0120 (0.0128) loss_rec_all: 0.0483 (0.0491) loss_rec_sfr: 0.0674 (0.0683) loss_cl: -0.3664 (-0.3673) time: 0.8646 data: 0.0003 max mem: 29859 [08:00:34.836478] Epoch: [372] [720/850] eta: 0:01:52 lr: 0.001432 loss: 0.0130 (0.0128) loss_rec_all: 0.0492 (0.0491) loss_rec_sfr: 0.0637 (0.0683) loss_cl: -0.3668 (-0.3673) time: 0.8656 data: 0.0002 max mem: 29859 [08:00:52.052801] Epoch: [372] [740/850] eta: 0:01:35 lr: 0.001432 loss: 0.0139 (0.0128) loss_rec_all: 0.0500 (0.0491) loss_rec_sfr: 0.0673 (0.0683) loss_cl: -0.3672 (-0.3673) time: 0.8608 data: 0.0002 max mem: 29859 [08:01:09.333431] Epoch: [372] [760/850] eta: 0:01:18 lr: 0.001432 loss: 0.0121 (0.0128) loss_rec_all: 0.0484 (0.0491) loss_rec_sfr: 0.0551 (0.0683) loss_cl: -0.3680 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [08:01:26.565411] Epoch: [372] [780/850] eta: 0:01:00 lr: 0.001432 loss: 0.0123 (0.0128) loss_rec_all: 0.0487 (0.0491) loss_rec_sfr: 0.0702 (0.0685) loss_cl: -0.3677 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [08:01:43.864743] Epoch: [372] [800/850] eta: 0:00:43 lr: 0.001432 loss: 0.0118 (0.0128) loss_rec_all: 0.0481 (0.0491) loss_rec_sfr: 0.0544 (0.0684) loss_cl: -0.3673 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [08:02:01.088141] Epoch: [372] [820/850] eta: 0:00:26 lr: 0.001432 loss: 0.0131 (0.0128) loss_rec_all: 0.0496 (0.0491) loss_rec_sfr: 0.0495 (0.0683) loss_cl: -0.3674 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [08:02:18.382387] Epoch: [372] [840/850] eta: 0:00:08 lr: 0.001432 loss: 0.0131 (0.0128) loss_rec_all: 0.0492 (0.0491) loss_rec_sfr: 0.0692 (0.0683) loss_cl: -0.3676 (-0.3673) time: 0.8647 data: 0.0004 max mem: 29859 [08:02:26.153867] Epoch: [372] [849/850] eta: 0:00:00 lr: 0.001432 loss: 0.0127 (0.0128) loss_rec_all: 0.0490 (0.0491) loss_rec_sfr: 0.0692 (0.0684) loss_cl: -0.3676 (-0.3673) time: 0.8655 data: 0.0004 max mem: 29859 [08:02:26.303166] Epoch: [372] Total time: 0:12:17 (0.8673 s / it) [08:02:26.305602] Averaged stats: lr: 0.001432 loss: 0.0127 (0.0128) loss_rec_all: 0.0490 (0.0491) loss_rec_sfr: 0.0692 (0.0683) loss_cl: -0.3676 (-0.3674) [08:02:26.318162] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [08:02:30.324058] Epoch: [373] [ 0/850] eta: 0:56:44 lr: 0.001432 loss: 0.0113 (0.0113) loss_rec_all: 0.0478 (0.0478) loss_rec_sfr: 0.0487 (0.0487) loss_cl: -0.3678 (-0.3678) time: 4.0051 data: 3.1449 max mem: 29859 [08:02:47.596343] Epoch: [373] [ 20/850] eta: 0:14:00 lr: 0.001432 loss: 0.0114 (0.0121) loss_rec_all: 0.0478 (0.0484) loss_rec_sfr: 0.0479 (0.0605) loss_cl: -0.3672 (-0.3671) time: 0.8636 data: 0.0002 max mem: 29859 [08:03:04.867849] Epoch: [373] [ 40/850] eta: 0:12:41 lr: 0.001431 loss: 0.0111 (0.0118) loss_rec_all: 0.0473 (0.0481) loss_rec_sfr: 0.0498 (0.0604) loss_cl: -0.3672 (-0.3671) time: 0.8635 data: 0.0002 max mem: 29859 [08:03:22.143312] Epoch: [373] [ 60/850] eta: 0:12:02 lr: 0.001431 loss: 0.0123 (0.0120) loss_rec_all: 0.0484 (0.0482) loss_rec_sfr: 0.0694 (0.0632) loss_cl: -0.3673 (-0.3671) time: 0.8637 data: 0.0003 max mem: 29859 [08:03:39.510417] Epoch: [373] [ 80/850] eta: 0:11:35 lr: 0.001431 loss: 0.0122 (0.0121) loss_rec_all: 0.0484 (0.0483) loss_rec_sfr: 0.0839 (0.0663) loss_cl: -0.3673 (-0.3671) time: 0.8683 data: 0.0003 max mem: 29859 [08:03:56.812232] Epoch: [373] [100/850] eta: 0:11:11 lr: 0.001431 loss: 0.0103 (0.0118) loss_rec_all: 0.0466 (0.0481) loss_rec_sfr: 0.0463 (0.0650) loss_cl: -0.3676 (-0.3672) time: 0.8650 data: 0.0002 max mem: 29859 [08:04:14.118051] Epoch: [373] [120/850] eta: 0:10:50 lr: 0.001431 loss: 0.0114 (0.0118) loss_rec_all: 0.0477 (0.0481) loss_rec_sfr: 0.0496 (0.0646) loss_cl: -0.3671 (-0.3672) time: 0.8652 data: 0.0002 max mem: 29859 [08:04:31.394226] Epoch: [373] [140/850] eta: 0:10:29 lr: 0.001431 loss: 0.0116 (0.0118) loss_rec_all: 0.0480 (0.0481) loss_rec_sfr: 0.0503 (0.0642) loss_cl: -0.3671 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [08:04:48.671578] Epoch: [373] [160/850] eta: 0:10:10 lr: 0.001431 loss: 0.0130 (0.0120) loss_rec_all: 0.0489 (0.0483) loss_rec_sfr: 0.0750 (0.0650) loss_cl: -0.3672 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [08:05:05.909570] Epoch: [373] [180/850] eta: 0:09:50 lr: 0.001431 loss: 0.0122 (0.0122) loss_rec_all: 0.0485 (0.0485) loss_rec_sfr: 0.0555 (0.0655) loss_cl: -0.3678 (-0.3672) time: 0.8619 data: 0.0002 max mem: 29859 [08:05:23.187935] Epoch: [373] [200/850] eta: 0:09:31 lr: 0.001431 loss: 0.0125 (0.0123) loss_rec_all: 0.0489 (0.0485) loss_rec_sfr: 0.0548 (0.0658) loss_cl: -0.3679 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [08:05:40.439674] Epoch: [373] [220/850] eta: 0:09:13 lr: 0.001430 loss: 0.0123 (0.0123) loss_rec_all: 0.0485 (0.0486) loss_rec_sfr: 0.0761 (0.0666) loss_cl: -0.3675 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [08:05:57.738759] Epoch: [373] [240/850] eta: 0:08:55 lr: 0.001430 loss: 0.0127 (0.0124) loss_rec_all: 0.0491 (0.0487) loss_rec_sfr: 0.0526 (0.0669) loss_cl: -0.3675 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [08:06:14.993471] Epoch: [373] [260/850] eta: 0:08:36 lr: 0.001430 loss: 0.0123 (0.0124) loss_rec_all: 0.0486 (0.0487) loss_rec_sfr: 0.0518 (0.0670) loss_cl: -0.3668 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [08:06:32.290221] Epoch: [373] [280/850] eta: 0:08:18 lr: 0.001430 loss: 0.0115 (0.0124) loss_rec_all: 0.0476 (0.0487) loss_rec_sfr: 0.0685 (0.0672) loss_cl: -0.3677 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [08:06:49.555174] Epoch: [373] [300/850] eta: 0:08:00 lr: 0.001430 loss: 0.0120 (0.0124) loss_rec_all: 0.0484 (0.0487) loss_rec_sfr: 0.0664 (0.0678) loss_cl: -0.3678 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [08:07:06.877517] Epoch: [373] [320/850] eta: 0:07:43 lr: 0.001430 loss: 0.0118 (0.0124) loss_rec_all: 0.0479 (0.0487) loss_rec_sfr: 0.0679 (0.0678) loss_cl: -0.3673 (-0.3674) time: 0.8660 data: 0.0003 max mem: 29859 [08:07:24.120959] Epoch: [373] [340/850] eta: 0:07:25 lr: 0.001430 loss: 0.0120 (0.0124) loss_rec_all: 0.0480 (0.0487) loss_rec_sfr: 0.0782 (0.0682) loss_cl: -0.3670 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [08:07:41.423668] Epoch: [373] [360/850] eta: 0:07:07 lr: 0.001430 loss: 0.0120 (0.0125) loss_rec_all: 0.0484 (0.0487) loss_rec_sfr: 0.0544 (0.0682) loss_cl: -0.3668 (-0.3673) time: 0.8651 data: 0.0002 max mem: 29859 [08:07:58.695023] Epoch: [373] [380/850] eta: 0:06:49 lr: 0.001430 loss: 0.0118 (0.0125) loss_rec_all: 0.0480 (0.0487) loss_rec_sfr: 0.0520 (0.0681) loss_cl: -0.3678 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [08:08:15.993615] Epoch: [373] [400/850] eta: 0:06:32 lr: 0.001429 loss: 0.0114 (0.0125) loss_rec_all: 0.0478 (0.0487) loss_rec_sfr: 0.0516 (0.0678) loss_cl: -0.3675 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [08:08:33.261825] Epoch: [373] [420/850] eta: 0:06:14 lr: 0.001429 loss: 0.0122 (0.0125) loss_rec_all: 0.0484 (0.0487) loss_rec_sfr: 0.0781 (0.0683) loss_cl: -0.3676 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [08:08:50.534327] Epoch: [373] [440/850] eta: 0:05:57 lr: 0.001429 loss: 0.0116 (0.0124) loss_rec_all: 0.0477 (0.0487) loss_rec_sfr: 0.0518 (0.0682) loss_cl: -0.3673 (-0.3673) time: 0.8636 data: 0.0002 max mem: 29859 [08:09:07.790302] Epoch: [373] [460/850] eta: 0:05:39 lr: 0.001429 loss: 0.0108 (0.0124) loss_rec_all: 0.0472 (0.0486) loss_rec_sfr: 0.0486 (0.0677) loss_cl: -0.3673 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [08:09:25.066936] Epoch: [373] [480/850] eta: 0:05:22 lr: 0.001429 loss: 0.0113 (0.0124) loss_rec_all: 0.0476 (0.0486) loss_rec_sfr: 0.0520 (0.0674) loss_cl: -0.3669 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [08:09:42.318602] Epoch: [373] [500/850] eta: 0:05:04 lr: 0.001429 loss: 0.0114 (0.0124) loss_rec_all: 0.0477 (0.0486) loss_rec_sfr: 0.0490 (0.0672) loss_cl: -0.3673 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [08:09:59.673743] Epoch: [373] [520/850] eta: 0:04:47 lr: 0.001429 loss: 0.0121 (0.0124) loss_rec_all: 0.0483 (0.0486) loss_rec_sfr: 0.0524 (0.0671) loss_cl: -0.3674 (-0.3673) time: 0.8677 data: 0.0003 max mem: 29859 [08:10:16.909479] Epoch: [373] [540/850] eta: 0:04:29 lr: 0.001429 loss: 0.0116 (0.0124) loss_rec_all: 0.0480 (0.0487) loss_rec_sfr: 0.0492 (0.0670) loss_cl: -0.3675 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [08:10:34.195291] Epoch: [373] [560/850] eta: 0:04:12 lr: 0.001428 loss: 0.0115 (0.0124) loss_rec_all: 0.0478 (0.0486) loss_rec_sfr: 0.0491 (0.0667) loss_cl: -0.3675 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [08:10:51.480409] Epoch: [373] [580/850] eta: 0:03:54 lr: 0.001428 loss: 0.0119 (0.0124) loss_rec_all: 0.0483 (0.0487) loss_rec_sfr: 0.0522 (0.0666) loss_cl: -0.3670 (-0.3673) time: 0.8642 data: 0.0003 max mem: 29859 [08:11:08.766069] Epoch: [373] [600/850] eta: 0:03:37 lr: 0.001428 loss: 0.0124 (0.0124) loss_rec_all: 0.0487 (0.0487) loss_rec_sfr: 0.0677 (0.0666) loss_cl: -0.3673 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [08:11:26.027412] Epoch: [373] [620/850] eta: 0:03:19 lr: 0.001428 loss: 0.0128 (0.0124) loss_rec_all: 0.0489 (0.0487) loss_rec_sfr: 0.0694 (0.0668) loss_cl: -0.3673 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [08:11:43.320066] Epoch: [373] [640/850] eta: 0:03:02 lr: 0.001428 loss: 0.0139 (0.0125) loss_rec_all: 0.0501 (0.0487) loss_rec_sfr: 0.0704 (0.0671) loss_cl: -0.3676 (-0.3673) time: 0.8646 data: 0.0003 max mem: 29859 [08:12:00.572828] Epoch: [373] [660/850] eta: 0:02:45 lr: 0.001428 loss: 0.0123 (0.0125) loss_rec_all: 0.0488 (0.0487) loss_rec_sfr: 0.0547 (0.0672) loss_cl: -0.3676 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [08:12:17.865853] Epoch: [373] [680/850] eta: 0:02:27 lr: 0.001428 loss: 0.0128 (0.0125) loss_rec_all: 0.0489 (0.0488) loss_rec_sfr: 0.0734 (0.0672) loss_cl: -0.3677 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [08:12:35.110586] Epoch: [373] [700/850] eta: 0:02:10 lr: 0.001428 loss: 0.0122 (0.0125) loss_rec_all: 0.0487 (0.0488) loss_rec_sfr: 0.0676 (0.0672) loss_cl: -0.3682 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [08:12:52.422456] Epoch: [373] [720/850] eta: 0:01:52 lr: 0.001428 loss: 0.0126 (0.0125) loss_rec_all: 0.0487 (0.0488) loss_rec_sfr: 0.0731 (0.0674) loss_cl: -0.3685 (-0.3674) time: 0.8655 data: 0.0002 max mem: 29859 [08:13:09.655767] Epoch: [373] [740/850] eta: 0:01:35 lr: 0.001427 loss: 0.0130 (0.0126) loss_rec_all: 0.0494 (0.0488) loss_rec_sfr: 0.0613 (0.0675) loss_cl: -0.3684 (-0.3674) time: 0.8616 data: 0.0002 max mem: 29859 [08:13:26.964973] Epoch: [373] [760/850] eta: 0:01:18 lr: 0.001427 loss: 0.0119 (0.0126) loss_rec_all: 0.0483 (0.0488) loss_rec_sfr: 0.0595 (0.0675) loss_cl: -0.3680 (-0.3674) time: 0.8654 data: 0.0003 max mem: 29859 [08:13:44.222889] Epoch: [373] [780/850] eta: 0:01:00 lr: 0.001427 loss: 0.0125 (0.0126) loss_rec_all: 0.0487 (0.0488) loss_rec_sfr: 0.0666 (0.0676) loss_cl: -0.3672 (-0.3674) time: 0.8628 data: 0.0003 max mem: 29859 [08:14:01.505025] Epoch: [373] [800/850] eta: 0:00:43 lr: 0.001427 loss: 0.0124 (0.0126) loss_rec_all: 0.0486 (0.0488) loss_rec_sfr: 0.0764 (0.0678) loss_cl: -0.3663 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [08:14:18.756338] Epoch: [373] [820/850] eta: 0:00:26 lr: 0.001427 loss: 0.0124 (0.0126) loss_rec_all: 0.0487 (0.0488) loss_rec_sfr: 0.0568 (0.0678) loss_cl: -0.3666 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [08:14:36.035170] Epoch: [373] [840/850] eta: 0:00:08 lr: 0.001427 loss: 0.0118 (0.0126) loss_rec_all: 0.0481 (0.0488) loss_rec_sfr: 0.0572 (0.0677) loss_cl: -0.3675 (-0.3674) time: 0.8639 data: 0.0005 max mem: 29859 [08:14:43.786878] Epoch: [373] [849/850] eta: 0:00:00 lr: 0.001427 loss: 0.0118 (0.0126) loss_rec_all: 0.0481 (0.0488) loss_rec_sfr: 0.0536 (0.0676) loss_cl: -0.3673 (-0.3674) time: 0.8630 data: 0.0004 max mem: 29859 [08:14:43.925763] Epoch: [373] Total time: 0:12:17 (0.8678 s / it) [08:14:43.928540] Averaged stats: lr: 0.001427 loss: 0.0118 (0.0125) loss_rec_all: 0.0481 (0.0488) loss_rec_sfr: 0.0536 (0.0668) loss_cl: -0.3673 (-0.3673) [08:14:43.941475] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [08:14:48.171321] Epoch: [374] [ 0/850] eta: 0:59:54 lr: 0.001427 loss: 0.0096 (0.0096) loss_rec_all: 0.0460 (0.0460) loss_rec_sfr: 0.0421 (0.0421) loss_cl: -0.3675 (-0.3675) time: 4.2290 data: 3.3718 max mem: 29859 [08:15:05.392936] Epoch: [374] [ 20/850] eta: 0:14:07 lr: 0.001427 loss: 0.0120 (0.0120) loss_rec_all: 0.0482 (0.0483) loss_rec_sfr: 0.0676 (0.0664) loss_cl: -0.3675 (-0.3673) time: 0.8610 data: 0.0002 max mem: 29859 [08:15:22.650292] Epoch: [374] [ 40/850] eta: 0:12:44 lr: 0.001427 loss: 0.0116 (0.0123) loss_rec_all: 0.0480 (0.0486) loss_rec_sfr: 0.0562 (0.0658) loss_cl: -0.3673 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [08:15:39.903599] Epoch: [374] [ 60/850] eta: 0:12:04 lr: 0.001426 loss: 0.0113 (0.0121) loss_rec_all: 0.0478 (0.0484) loss_rec_sfr: 0.0508 (0.0640) loss_cl: -0.3673 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [08:15:57.183386] Epoch: [374] [ 80/850] eta: 0:11:36 lr: 0.001426 loss: 0.0123 (0.0121) loss_rec_all: 0.0483 (0.0483) loss_rec_sfr: 0.0754 (0.0666) loss_cl: -0.3668 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [08:16:14.425801] Epoch: [374] [100/850] eta: 0:11:11 lr: 0.001426 loss: 0.0124 (0.0122) loss_rec_all: 0.0485 (0.0485) loss_rec_sfr: 0.0800 (0.0687) loss_cl: -0.3671 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [08:16:31.776645] Epoch: [374] [120/850] eta: 0:10:50 lr: 0.001426 loss: 0.0119 (0.0123) loss_rec_all: 0.0484 (0.0485) loss_rec_sfr: 0.0481 (0.0684) loss_cl: -0.3676 (-0.3672) time: 0.8675 data: 0.0002 max mem: 29859 [08:16:48.983662] Epoch: [374] [140/850] eta: 0:10:29 lr: 0.001426 loss: 0.0113 (0.0122) loss_rec_all: 0.0476 (0.0484) loss_rec_sfr: 0.0545 (0.0684) loss_cl: -0.3675 (-0.3673) time: 0.8603 data: 0.0002 max mem: 29859 [08:17:06.237615] Epoch: [374] [160/850] eta: 0:10:09 lr: 0.001426 loss: 0.0113 (0.0122) loss_rec_all: 0.0477 (0.0484) loss_rec_sfr: 0.0540 (0.0685) loss_cl: -0.3680 (-0.3674) time: 0.8626 data: 0.0002 max mem: 29859 [08:17:23.529979] Epoch: [374] [180/850] eta: 0:09:50 lr: 0.001426 loss: 0.0120 (0.0122) loss_rec_all: 0.0483 (0.0484) loss_rec_sfr: 0.0584 (0.0681) loss_cl: -0.3678 (-0.3674) time: 0.8645 data: 0.0003 max mem: 29859 [08:17:40.807276] Epoch: [374] [200/850] eta: 0:09:31 lr: 0.001426 loss: 0.0123 (0.0122) loss_rec_all: 0.0483 (0.0485) loss_rec_sfr: 0.0816 (0.0695) loss_cl: -0.3678 (-0.3675) time: 0.8638 data: 0.0002 max mem: 29859 [08:17:58.045920] Epoch: [374] [220/850] eta: 0:09:13 lr: 0.001426 loss: 0.0112 (0.0122) loss_rec_all: 0.0474 (0.0485) loss_rec_sfr: 0.0682 (0.0694) loss_cl: -0.3677 (-0.3675) time: 0.8619 data: 0.0002 max mem: 29859 [08:18:15.393800] Epoch: [374] [240/850] eta: 0:08:55 lr: 0.001425 loss: 0.0124 (0.0122) loss_rec_all: 0.0487 (0.0485) loss_rec_sfr: 0.0720 (0.0697) loss_cl: -0.3672 (-0.3674) time: 0.8673 data: 0.0002 max mem: 29859 [08:18:32.643163] Epoch: [374] [260/850] eta: 0:08:36 lr: 0.001425 loss: 0.0113 (0.0122) loss_rec_all: 0.0476 (0.0485) loss_rec_sfr: 0.0552 (0.0696) loss_cl: -0.3669 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [08:18:49.924599] Epoch: [374] [280/850] eta: 0:08:18 lr: 0.001425 loss: 0.0115 (0.0122) loss_rec_all: 0.0478 (0.0484) loss_rec_sfr: 0.0580 (0.0694) loss_cl: -0.3669 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [08:19:07.237050] Epoch: [374] [300/850] eta: 0:08:01 lr: 0.001425 loss: 0.0121 (0.0122) loss_rec_all: 0.0482 (0.0485) loss_rec_sfr: 0.0714 (0.0698) loss_cl: -0.3672 (-0.3673) time: 0.8656 data: 0.0002 max mem: 29859 [08:19:24.513363] Epoch: [374] [320/850] eta: 0:07:43 lr: 0.001425 loss: 0.0123 (0.0123) loss_rec_all: 0.0485 (0.0485) loss_rec_sfr: 0.0690 (0.0700) loss_cl: -0.3670 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [08:19:41.757851] Epoch: [374] [340/850] eta: 0:07:25 lr: 0.001425 loss: 0.0117 (0.0123) loss_rec_all: 0.0480 (0.0485) loss_rec_sfr: 0.0779 (0.0705) loss_cl: -0.3671 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [08:19:59.147591] Epoch: [374] [360/850] eta: 0:07:07 lr: 0.001425 loss: 0.0117 (0.0123) loss_rec_all: 0.0478 (0.0485) loss_rec_sfr: 0.0562 (0.0701) loss_cl: -0.3671 (-0.3673) time: 0.8694 data: 0.0002 max mem: 29859 [08:20:16.379710] Epoch: [374] [380/850] eta: 0:06:50 lr: 0.001425 loss: 0.0118 (0.0123) loss_rec_all: 0.0479 (0.0485) loss_rec_sfr: 0.0501 (0.0700) loss_cl: -0.3678 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [08:20:33.667222] Epoch: [374] [400/850] eta: 0:06:32 lr: 0.001425 loss: 0.0107 (0.0122) loss_rec_all: 0.0471 (0.0485) loss_rec_sfr: 0.0505 (0.0695) loss_cl: -0.3680 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [08:20:50.970417] Epoch: [374] [420/850] eta: 0:06:14 lr: 0.001424 loss: 0.0116 (0.0122) loss_rec_all: 0.0480 (0.0484) loss_rec_sfr: 0.0508 (0.0693) loss_cl: -0.3684 (-0.3674) time: 0.8651 data: 0.0002 max mem: 29859 [08:21:08.234171] Epoch: [374] [440/850] eta: 0:05:57 lr: 0.001424 loss: 0.0108 (0.0122) loss_rec_all: 0.0473 (0.0484) loss_rec_sfr: 0.0466 (0.0688) loss_cl: -0.3679 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [08:21:25.511734] Epoch: [374] [460/850] eta: 0:05:39 lr: 0.001424 loss: 0.0132 (0.0122) loss_rec_all: 0.0492 (0.0485) loss_rec_sfr: 0.0713 (0.0692) loss_cl: -0.3672 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [08:21:42.813464] Epoch: [374] [480/850] eta: 0:05:22 lr: 0.001424 loss: 0.0114 (0.0122) loss_rec_all: 0.0477 (0.0485) loss_rec_sfr: 0.0584 (0.0692) loss_cl: -0.3667 (-0.3674) time: 0.8650 data: 0.0002 max mem: 29859 [08:22:00.039284] Epoch: [374] [500/850] eta: 0:05:04 lr: 0.001424 loss: 0.0126 (0.0123) loss_rec_all: 0.0488 (0.0485) loss_rec_sfr: 0.0666 (0.0690) loss_cl: -0.3672 (-0.3674) time: 0.8612 data: 0.0002 max mem: 29859 [08:22:17.357784] Epoch: [374] [520/850] eta: 0:04:47 lr: 0.001424 loss: 0.0119 (0.0123) loss_rec_all: 0.0483 (0.0485) loss_rec_sfr: 0.0508 (0.0688) loss_cl: -0.3675 (-0.3674) time: 0.8659 data: 0.0002 max mem: 29859 [08:22:34.598892] Epoch: [374] [540/850] eta: 0:04:29 lr: 0.001424 loss: 0.0117 (0.0123) loss_rec_all: 0.0481 (0.0485) loss_rec_sfr: 0.0529 (0.0685) loss_cl: -0.3676 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [08:22:51.871046] Epoch: [374] [560/850] eta: 0:04:12 lr: 0.001424 loss: 0.0125 (0.0123) loss_rec_all: 0.0486 (0.0486) loss_rec_sfr: 0.0718 (0.0686) loss_cl: -0.3682 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [08:23:09.136898] Epoch: [374] [580/850] eta: 0:03:54 lr: 0.001424 loss: 0.0115 (0.0123) loss_rec_all: 0.0479 (0.0486) loss_rec_sfr: 0.0528 (0.0684) loss_cl: -0.3675 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [08:23:26.430617] Epoch: [374] [600/850] eta: 0:03:37 lr: 0.001423 loss: 0.0119 (0.0123) loss_rec_all: 0.0483 (0.0486) loss_rec_sfr: 0.0514 (0.0682) loss_cl: -0.3675 (-0.3674) time: 0.8646 data: 0.0002 max mem: 29859 [08:23:43.687419] Epoch: [374] [620/850] eta: 0:03:19 lr: 0.001423 loss: 0.0124 (0.0123) loss_rec_all: 0.0485 (0.0486) loss_rec_sfr: 0.0725 (0.0683) loss_cl: -0.3674 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [08:24:01.017210] Epoch: [374] [640/850] eta: 0:03:02 lr: 0.001423 loss: 0.0129 (0.0123) loss_rec_all: 0.0490 (0.0486) loss_rec_sfr: 0.0568 (0.0683) loss_cl: -0.3672 (-0.3674) time: 0.8664 data: 0.0003 max mem: 29859 [08:24:18.259287] Epoch: [374] [660/850] eta: 0:02:45 lr: 0.001423 loss: 0.0121 (0.0123) loss_rec_all: 0.0484 (0.0486) loss_rec_sfr: 0.0630 (0.0682) loss_cl: -0.3667 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [08:24:35.518168] Epoch: [374] [680/850] eta: 0:02:27 lr: 0.001423 loss: 0.0124 (0.0123) loss_rec_all: 0.0486 (0.0486) loss_rec_sfr: 0.0665 (0.0683) loss_cl: -0.3670 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [08:24:52.811366] Epoch: [374] [700/850] eta: 0:02:10 lr: 0.001423 loss: 0.0110 (0.0123) loss_rec_all: 0.0475 (0.0486) loss_rec_sfr: 0.0474 (0.0680) loss_cl: -0.3669 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [08:25:10.084062] Epoch: [374] [720/850] eta: 0:01:52 lr: 0.001423 loss: 0.0117 (0.0123) loss_rec_all: 0.0481 (0.0486) loss_rec_sfr: 0.0536 (0.0679) loss_cl: -0.3674 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [08:25:27.324999] Epoch: [374] [740/850] eta: 0:01:35 lr: 0.001423 loss: 0.0129 (0.0123) loss_rec_all: 0.0489 (0.0486) loss_rec_sfr: 0.0686 (0.0678) loss_cl: -0.3678 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [08:25:44.712228] Epoch: [374] [760/850] eta: 0:01:18 lr: 0.001422 loss: 0.0115 (0.0123) loss_rec_all: 0.0479 (0.0486) loss_rec_sfr: 0.0515 (0.0678) loss_cl: -0.3685 (-0.3674) time: 0.8693 data: 0.0003 max mem: 29859 [08:26:01.942334] Epoch: [374] [780/850] eta: 0:01:00 lr: 0.001422 loss: 0.0116 (0.0123) loss_rec_all: 0.0478 (0.0486) loss_rec_sfr: 0.0494 (0.0678) loss_cl: -0.3682 (-0.3674) time: 0.8615 data: 0.0002 max mem: 29859 [08:26:19.215742] Epoch: [374] [800/850] eta: 0:00:43 lr: 0.001422 loss: 0.0104 (0.0123) loss_rec_all: 0.0468 (0.0486) loss_rec_sfr: 0.0486 (0.0677) loss_cl: -0.3672 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [08:26:36.526367] Epoch: [374] [820/850] eta: 0:00:26 lr: 0.001422 loss: 0.0123 (0.0123) loss_rec_all: 0.0486 (0.0486) loss_rec_sfr: 0.0492 (0.0676) loss_cl: -0.3670 (-0.3674) time: 0.8654 data: 0.0003 max mem: 29859 [08:26:53.797497] Epoch: [374] [840/850] eta: 0:00:08 lr: 0.001422 loss: 0.0130 (0.0123) loss_rec_all: 0.0492 (0.0486) loss_rec_sfr: 0.0746 (0.0678) loss_cl: -0.3666 (-0.3674) time: 0.8635 data: 0.0005 max mem: 29859 [08:27:01.566862] Epoch: [374] [849/850] eta: 0:00:00 lr: 0.001422 loss: 0.0131 (0.0124) loss_rec_all: 0.0494 (0.0486) loss_rec_sfr: 0.0541 (0.0678) loss_cl: -0.3668 (-0.3674) time: 0.8640 data: 0.0004 max mem: 29859 [08:27:01.719116] Epoch: [374] Total time: 0:12:17 (0.8680 s / it) [08:27:01.720712] Averaged stats: lr: 0.001422 loss: 0.0131 (0.0123) loss_rec_all: 0.0494 (0.0486) loss_rec_sfr: 0.0541 (0.0670) loss_cl: -0.3668 (-0.3674) [08:27:01.728690] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [08:27:06.214841] Epoch: [375] [ 0/850] eta: 1:03:32 lr: 0.001422 loss: 0.0122 (0.0122) loss_rec_all: 0.0485 (0.0485) loss_rec_sfr: 0.0487 (0.0487) loss_cl: -0.3658 (-0.3658) time: 4.4854 data: 3.6277 max mem: 29859 [08:27:23.436546] Epoch: [375] [ 20/850] eta: 0:14:17 lr: 0.001422 loss: 0.0114 (0.0119) loss_rec_all: 0.0475 (0.0482) loss_rec_sfr: 0.0484 (0.0599) loss_cl: -0.3666 (-0.3666) time: 0.8610 data: 0.0002 max mem: 29859 [08:27:40.724459] Epoch: [375] [ 40/850] eta: 0:12:50 lr: 0.001422 loss: 0.0119 (0.0123) loss_rec_all: 0.0482 (0.0485) loss_rec_sfr: 0.0571 (0.0650) loss_cl: -0.3669 (-0.3668) time: 0.8643 data: 0.0002 max mem: 29859 [08:27:57.961480] Epoch: [375] [ 60/850] eta: 0:12:08 lr: 0.001422 loss: 0.0114 (0.0123) loss_rec_all: 0.0477 (0.0485) loss_rec_sfr: 0.0482 (0.0633) loss_cl: -0.3673 (-0.3669) time: 0.8618 data: 0.0002 max mem: 29859 [08:28:15.263837] Epoch: [375] [ 80/850] eta: 0:11:38 lr: 0.001421 loss: 0.0109 (0.0122) loss_rec_all: 0.0474 (0.0485) loss_rec_sfr: 0.0496 (0.0621) loss_cl: -0.3676 (-0.3671) time: 0.8651 data: 0.0002 max mem: 29859 [08:28:32.501855] Epoch: [375] [100/850] eta: 0:11:13 lr: 0.001421 loss: 0.0113 (0.0122) loss_rec_all: 0.0477 (0.0485) loss_rec_sfr: 0.0528 (0.0633) loss_cl: -0.3674 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [08:28:49.771849] Epoch: [375] [120/850] eta: 0:10:51 lr: 0.001421 loss: 0.0117 (0.0122) loss_rec_all: 0.0480 (0.0485) loss_rec_sfr: 0.0545 (0.0635) loss_cl: -0.3671 (-0.3672) time: 0.8635 data: 0.0002 max mem: 29859 [08:29:07.037897] Epoch: [375] [140/850] eta: 0:10:30 lr: 0.001421 loss: 0.0119 (0.0122) loss_rec_all: 0.0480 (0.0484) loss_rec_sfr: 0.0503 (0.0639) loss_cl: -0.3671 (-0.3671) time: 0.8632 data: 0.0002 max mem: 29859 [08:29:24.330690] Epoch: [375] [160/850] eta: 0:10:11 lr: 0.001421 loss: 0.0110 (0.0121) loss_rec_all: 0.0474 (0.0484) loss_rec_sfr: 0.0682 (0.0645) loss_cl: -0.3676 (-0.3672) time: 0.8646 data: 0.0002 max mem: 29859 [08:29:41.557913] Epoch: [375] [180/850] eta: 0:09:51 lr: 0.001421 loss: 0.0123 (0.0121) loss_rec_all: 0.0484 (0.0484) loss_rec_sfr: 0.0538 (0.0652) loss_cl: -0.3676 (-0.3672) time: 0.8613 data: 0.0002 max mem: 29859 [08:29:58.939070] Epoch: [375] [200/850] eta: 0:09:33 lr: 0.001421 loss: 0.0112 (0.0120) loss_rec_all: 0.0476 (0.0483) loss_rec_sfr: 0.0494 (0.0649) loss_cl: -0.3679 (-0.3673) time: 0.8690 data: 0.0003 max mem: 29859 [08:30:16.183513] Epoch: [375] [220/850] eta: 0:09:14 lr: 0.001421 loss: 0.0113 (0.0120) loss_rec_all: 0.0477 (0.0483) loss_rec_sfr: 0.0547 (0.0652) loss_cl: -0.3679 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [08:30:33.481200] Epoch: [375] [240/850] eta: 0:08:55 lr: 0.001421 loss: 0.0129 (0.0121) loss_rec_all: 0.0492 (0.0484) loss_rec_sfr: 0.0690 (0.0664) loss_cl: -0.3675 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [08:30:50.800864] Epoch: [375] [260/850] eta: 0:08:37 lr: 0.001420 loss: 0.0139 (0.0122) loss_rec_all: 0.0500 (0.0485) loss_rec_sfr: 0.0628 (0.0667) loss_cl: -0.3677 (-0.3674) time: 0.8659 data: 0.0003 max mem: 29859 [08:31:08.069941] Epoch: [375] [280/850] eta: 0:08:19 lr: 0.001420 loss: 0.0138 (0.0123) loss_rec_all: 0.0500 (0.0486) loss_rec_sfr: 0.0705 (0.0673) loss_cl: -0.3677 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [08:31:25.296416] Epoch: [375] [300/850] eta: 0:08:01 lr: 0.001420 loss: 0.0125 (0.0123) loss_rec_all: 0.0488 (0.0486) loss_rec_sfr: 0.0485 (0.0669) loss_cl: -0.3675 (-0.3674) time: 0.8613 data: 0.0002 max mem: 29859 [08:31:42.647958] Epoch: [375] [320/850] eta: 0:07:43 lr: 0.001420 loss: 0.0120 (0.0123) loss_rec_all: 0.0482 (0.0486) loss_rec_sfr: 0.0573 (0.0670) loss_cl: -0.3673 (-0.3674) time: 0.8675 data: 0.0002 max mem: 29859 [08:31:59.887012] Epoch: [375] [340/850] eta: 0:07:25 lr: 0.001420 loss: 0.0117 (0.0124) loss_rec_all: 0.0481 (0.0486) loss_rec_sfr: 0.0690 (0.0673) loss_cl: -0.3675 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [08:32:17.187376] Epoch: [375] [360/850] eta: 0:07:08 lr: 0.001420 loss: 0.0109 (0.0123) loss_rec_all: 0.0473 (0.0486) loss_rec_sfr: 0.0521 (0.0667) loss_cl: -0.3675 (-0.3674) time: 0.8650 data: 0.0002 max mem: 29859 [08:32:34.463455] Epoch: [375] [380/850] eta: 0:06:50 lr: 0.001420 loss: 0.0143 (0.0124) loss_rec_all: 0.0503 (0.0487) loss_rec_sfr: 0.0756 (0.0674) loss_cl: -0.3679 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [08:32:51.754573] Epoch: [375] [400/850] eta: 0:06:32 lr: 0.001420 loss: 0.0122 (0.0125) loss_rec_all: 0.0485 (0.0487) loss_rec_sfr: 0.0668 (0.0675) loss_cl: -0.3676 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [08:33:09.001074] Epoch: [375] [420/850] eta: 0:06:15 lr: 0.001420 loss: 0.0117 (0.0125) loss_rec_all: 0.0479 (0.0487) loss_rec_sfr: 0.0752 (0.0677) loss_cl: -0.3671 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [08:33:26.314637] Epoch: [375] [440/850] eta: 0:05:57 lr: 0.001419 loss: 0.0121 (0.0124) loss_rec_all: 0.0483 (0.0487) loss_rec_sfr: 0.0698 (0.0680) loss_cl: -0.3672 (-0.3674) time: 0.8656 data: 0.0002 max mem: 29859 [08:33:43.557939] Epoch: [375] [460/850] eta: 0:05:39 lr: 0.001419 loss: 0.0131 (0.0125) loss_rec_all: 0.0492 (0.0487) loss_rec_sfr: 0.0582 (0.0681) loss_cl: -0.3671 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [08:34:00.852898] Epoch: [375] [480/850] eta: 0:05:22 lr: 0.001419 loss: 0.0115 (0.0125) loss_rec_all: 0.0479 (0.0487) loss_rec_sfr: 0.0517 (0.0678) loss_cl: -0.3675 (-0.3674) time: 0.8647 data: 0.0002 max mem: 29859 [08:34:18.161152] Epoch: [375] [500/850] eta: 0:05:04 lr: 0.001419 loss: 0.0109 (0.0124) loss_rec_all: 0.0474 (0.0487) loss_rec_sfr: 0.0482 (0.0675) loss_cl: -0.3676 (-0.3674) time: 0.8652 data: 0.0002 max mem: 29859 [08:34:35.428012] Epoch: [375] [520/850] eta: 0:04:47 lr: 0.001419 loss: 0.0113 (0.0124) loss_rec_all: 0.0476 (0.0487) loss_rec_sfr: 0.0507 (0.0673) loss_cl: -0.3673 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [08:34:52.670733] Epoch: [375] [540/850] eta: 0:04:29 lr: 0.001419 loss: 0.0118 (0.0124) loss_rec_all: 0.0477 (0.0486) loss_rec_sfr: 0.0521 (0.0672) loss_cl: -0.3677 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [08:35:10.019873] Epoch: [375] [560/850] eta: 0:04:12 lr: 0.001419 loss: 0.0113 (0.0123) loss_rec_all: 0.0478 (0.0486) loss_rec_sfr: 0.0510 (0.0672) loss_cl: -0.3681 (-0.3674) time: 0.8674 data: 0.0003 max mem: 29859 [08:35:27.261071] Epoch: [375] [580/850] eta: 0:03:54 lr: 0.001419 loss: 0.0114 (0.0123) loss_rec_all: 0.0478 (0.0486) loss_rec_sfr: 0.0681 (0.0671) loss_cl: -0.3677 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [08:35:44.584923] Epoch: [375] [600/850] eta: 0:03:37 lr: 0.001418 loss: 0.0120 (0.0123) loss_rec_all: 0.0481 (0.0486) loss_rec_sfr: 0.0680 (0.0671) loss_cl: -0.3676 (-0.3674) time: 0.8661 data: 0.0002 max mem: 29859 [08:36:01.860778] Epoch: [375] [620/850] eta: 0:03:20 lr: 0.001418 loss: 0.0114 (0.0123) loss_rec_all: 0.0477 (0.0486) loss_rec_sfr: 0.0699 (0.0672) loss_cl: -0.3672 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [08:36:19.119445] Epoch: [375] [640/850] eta: 0:03:02 lr: 0.001418 loss: 0.0125 (0.0123) loss_rec_all: 0.0485 (0.0486) loss_rec_sfr: 0.0708 (0.0674) loss_cl: -0.3668 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [08:36:36.375665] Epoch: [375] [660/850] eta: 0:02:45 lr: 0.001418 loss: 0.0126 (0.0124) loss_rec_all: 0.0486 (0.0486) loss_rec_sfr: 0.0699 (0.0675) loss_cl: -0.3665 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [08:36:53.683036] Epoch: [375] [680/850] eta: 0:02:27 lr: 0.001418 loss: 0.0116 (0.0124) loss_rec_all: 0.0480 (0.0486) loss_rec_sfr: 0.0700 (0.0675) loss_cl: -0.3670 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [08:37:10.914829] Epoch: [375] [700/850] eta: 0:02:10 lr: 0.001418 loss: 0.0130 (0.0124) loss_rec_all: 0.0492 (0.0487) loss_rec_sfr: 0.0717 (0.0676) loss_cl: -0.3671 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [08:37:28.209336] Epoch: [375] [720/850] eta: 0:01:52 lr: 0.001418 loss: 0.0114 (0.0124) loss_rec_all: 0.0477 (0.0487) loss_rec_sfr: 0.0482 (0.0674) loss_cl: -0.3669 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [08:37:45.476265] Epoch: [375] [740/850] eta: 0:01:35 lr: 0.001418 loss: 0.0122 (0.0124) loss_rec_all: 0.0485 (0.0487) loss_rec_sfr: 0.0703 (0.0674) loss_cl: -0.3673 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [08:38:02.757830] Epoch: [375] [760/850] eta: 0:01:18 lr: 0.001418 loss: 0.0129 (0.0125) loss_rec_all: 0.0493 (0.0487) loss_rec_sfr: 0.0682 (0.0676) loss_cl: -0.3675 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [08:38:20.016760] Epoch: [375] [780/850] eta: 0:01:00 lr: 0.001417 loss: 0.0125 (0.0125) loss_rec_all: 0.0489 (0.0487) loss_rec_sfr: 0.0507 (0.0675) loss_cl: -0.3674 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [08:38:37.308832] Epoch: [375] [800/850] eta: 0:00:43 lr: 0.001417 loss: 0.0123 (0.0125) loss_rec_all: 0.0487 (0.0488) loss_rec_sfr: 0.0717 (0.0676) loss_cl: -0.3676 (-0.3673) time: 0.8646 data: 0.0003 max mem: 29859 [08:38:54.537733] Epoch: [375] [820/850] eta: 0:00:26 lr: 0.001417 loss: 0.0131 (0.0126) loss_rec_all: 0.0496 (0.0488) loss_rec_sfr: 0.0746 (0.0677) loss_cl: -0.3671 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [08:39:11.837805] Epoch: [375] [840/850] eta: 0:00:08 lr: 0.001417 loss: 0.0129 (0.0126) loss_rec_all: 0.0493 (0.0489) loss_rec_sfr: 0.0564 (0.0678) loss_cl: -0.3671 (-0.3673) time: 0.8650 data: 0.0004 max mem: 29859 [08:39:19.617465] Epoch: [375] [849/850] eta: 0:00:00 lr: 0.001417 loss: 0.0123 (0.0126) loss_rec_all: 0.0486 (0.0488) loss_rec_sfr: 0.0486 (0.0676) loss_cl: -0.3675 (-0.3673) time: 0.8662 data: 0.0004 max mem: 29859 [08:39:19.748256] Epoch: [375] Total time: 0:12:18 (0.8683 s / it) [08:39:19.750684] Averaged stats: lr: 0.001417 loss: 0.0123 (0.0127) loss_rec_all: 0.0486 (0.0490) loss_rec_sfr: 0.0486 (0.0680) loss_cl: -0.3675 (-0.3673) [08:39:19.763095] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [08:39:23.650481] Epoch: [376] [ 0/850] eta: 0:55:03 lr: 0.001417 loss: 0.0121 (0.0121) loss_rec_all: 0.0481 (0.0481) loss_rec_sfr: 0.0995 (0.0995) loss_cl: -0.3670 (-0.3670) time: 3.8866 data: 2.2739 max mem: 29859 [08:39:41.083599] Epoch: [376] [ 20/850] eta: 0:14:02 lr: 0.001417 loss: 0.0121 (0.0130) loss_rec_all: 0.0484 (0.0493) loss_rec_sfr: 0.0716 (0.0724) loss_cl: -0.3678 (-0.3675) time: 0.8716 data: 0.0120 max mem: 29859 [08:39:58.359275] Epoch: [376] [ 40/850] eta: 0:12:42 lr: 0.001417 loss: 0.0124 (0.0129) loss_rec_all: 0.0486 (0.0491) loss_rec_sfr: 0.0533 (0.0709) loss_cl: -0.3677 (-0.3676) time: 0.8637 data: 0.0002 max mem: 29859 [08:40:15.624222] Epoch: [376] [ 60/850] eta: 0:12:03 lr: 0.001417 loss: 0.0122 (0.0130) loss_rec_all: 0.0485 (0.0492) loss_rec_sfr: 0.0720 (0.0721) loss_cl: -0.3678 (-0.3677) time: 0.8632 data: 0.0002 max mem: 29859 [08:40:32.887542] Epoch: [376] [ 80/850] eta: 0:11:35 lr: 0.001417 loss: 0.0121 (0.0128) loss_rec_all: 0.0481 (0.0491) loss_rec_sfr: 0.0692 (0.0717) loss_cl: -0.3675 (-0.3676) time: 0.8631 data: 0.0002 max mem: 29859 [08:40:50.163520] Epoch: [376] [100/850] eta: 0:11:11 lr: 0.001417 loss: 0.0122 (0.0128) loss_rec_all: 0.0486 (0.0490) loss_rec_sfr: 0.0504 (0.0700) loss_cl: -0.3667 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [08:41:07.462644] Epoch: [376] [120/850] eta: 0:10:49 lr: 0.001416 loss: 0.0138 (0.0129) loss_rec_all: 0.0499 (0.0492) loss_rec_sfr: 0.0682 (0.0704) loss_cl: -0.3673 (-0.3674) time: 0.8649 data: 0.0003 max mem: 29859 [08:41:24.689351] Epoch: [376] [140/850] eta: 0:10:29 lr: 0.001416 loss: 0.0133 (0.0130) loss_rec_all: 0.0496 (0.0493) loss_rec_sfr: 0.0711 (0.0711) loss_cl: -0.3678 (-0.3674) time: 0.8613 data: 0.0002 max mem: 29859 [08:41:41.988656] Epoch: [376] [160/850] eta: 0:10:09 lr: 0.001416 loss: 0.0114 (0.0129) loss_rec_all: 0.0479 (0.0491) loss_rec_sfr: 0.0512 (0.0703) loss_cl: -0.3678 (-0.3675) time: 0.8649 data: 0.0002 max mem: 29859 [08:41:59.242233] Epoch: [376] [180/850] eta: 0:09:50 lr: 0.001416 loss: 0.0119 (0.0128) loss_rec_all: 0.0483 (0.0490) loss_rec_sfr: 0.0531 (0.0701) loss_cl: -0.3677 (-0.3675) time: 0.8626 data: 0.0002 max mem: 29859 [08:42:16.503893] Epoch: [376] [200/850] eta: 0:09:31 lr: 0.001416 loss: 0.0114 (0.0127) loss_rec_all: 0.0476 (0.0489) loss_rec_sfr: 0.0684 (0.0704) loss_cl: -0.3672 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [08:42:33.768144] Epoch: [376] [220/850] eta: 0:09:13 lr: 0.001416 loss: 0.0118 (0.0127) loss_rec_all: 0.0480 (0.0489) loss_rec_sfr: 0.0678 (0.0704) loss_cl: -0.3670 (-0.3674) time: 0.8631 data: 0.0003 max mem: 29859 [08:42:51.044586] Epoch: [376] [240/850] eta: 0:08:54 lr: 0.001416 loss: 0.0126 (0.0127) loss_rec_all: 0.0490 (0.0489) loss_rec_sfr: 0.0673 (0.0703) loss_cl: -0.3673 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [08:43:08.258206] Epoch: [376] [260/850] eta: 0:08:36 lr: 0.001416 loss: 0.0112 (0.0126) loss_rec_all: 0.0474 (0.0488) loss_rec_sfr: 0.0761 (0.0703) loss_cl: -0.3675 (-0.3674) time: 0.8606 data: 0.0002 max mem: 29859 [08:43:25.549418] Epoch: [376] [280/850] eta: 0:08:18 lr: 0.001415 loss: 0.0129 (0.0127) loss_rec_all: 0.0491 (0.0489) loss_rec_sfr: 0.0773 (0.0710) loss_cl: -0.3677 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [08:43:42.790357] Epoch: [376] [300/850] eta: 0:08:00 lr: 0.001415 loss: 0.0118 (0.0127) loss_rec_all: 0.0482 (0.0489) loss_rec_sfr: 0.0709 (0.0714) loss_cl: -0.3682 (-0.3675) time: 0.8620 data: 0.0002 max mem: 29859 [08:44:00.059664] Epoch: [376] [320/850] eta: 0:07:42 lr: 0.001415 loss: 0.0108 (0.0126) loss_rec_all: 0.0473 (0.0488) loss_rec_sfr: 0.0484 (0.0710) loss_cl: -0.3679 (-0.3675) time: 0.8634 data: 0.0002 max mem: 29859 [08:44:17.345789] Epoch: [376] [340/850] eta: 0:07:25 lr: 0.001415 loss: 0.0119 (0.0125) loss_rec_all: 0.0481 (0.0488) loss_rec_sfr: 0.0635 (0.0708) loss_cl: -0.3678 (-0.3675) time: 0.8642 data: 0.0003 max mem: 29859 [08:44:34.741737] Epoch: [376] [360/850] eta: 0:07:07 lr: 0.001415 loss: 0.0113 (0.0125) loss_rec_all: 0.0476 (0.0488) loss_rec_sfr: 0.0676 (0.0708) loss_cl: -0.3671 (-0.3675) time: 0.8698 data: 0.0002 max mem: 29859 [08:44:51.980173] Epoch: [376] [380/850] eta: 0:06:49 lr: 0.001415 loss: 0.0118 (0.0125) loss_rec_all: 0.0479 (0.0487) loss_rec_sfr: 0.0656 (0.0706) loss_cl: -0.3672 (-0.3675) time: 0.8619 data: 0.0002 max mem: 29859 [08:45:09.323637] Epoch: [376] [400/850] eta: 0:06:32 lr: 0.001415 loss: 0.0115 (0.0125) loss_rec_all: 0.0476 (0.0487) loss_rec_sfr: 0.0695 (0.0705) loss_cl: -0.3673 (-0.3674) time: 0.8671 data: 0.0002 max mem: 29859 [08:45:26.561135] Epoch: [376] [420/850] eta: 0:06:14 lr: 0.001415 loss: 0.0124 (0.0125) loss_rec_all: 0.0487 (0.0488) loss_rec_sfr: 0.0532 (0.0704) loss_cl: -0.3678 (-0.3675) time: 0.8618 data: 0.0002 max mem: 29859 [08:45:43.828477] Epoch: [376] [440/850] eta: 0:05:57 lr: 0.001415 loss: 0.0117 (0.0125) loss_rec_all: 0.0479 (0.0487) loss_rec_sfr: 0.0527 (0.0705) loss_cl: -0.3676 (-0.3675) time: 0.8633 data: 0.0002 max mem: 29859 [08:46:01.104152] Epoch: [376] [460/850] eta: 0:05:39 lr: 0.001414 loss: 0.0112 (0.0125) loss_rec_all: 0.0476 (0.0487) loss_rec_sfr: 0.0632 (0.0701) loss_cl: -0.3671 (-0.3674) time: 0.8637 data: 0.0003 max mem: 29859 [08:46:18.390363] Epoch: [376] [480/850] eta: 0:05:21 lr: 0.001414 loss: 0.0122 (0.0125) loss_rec_all: 0.0483 (0.0488) loss_rec_sfr: 0.0524 (0.0699) loss_cl: -0.3668 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [08:46:35.614127] Epoch: [376] [500/850] eta: 0:05:04 lr: 0.001414 loss: 0.0112 (0.0125) loss_rec_all: 0.0476 (0.0487) loss_rec_sfr: 0.0485 (0.0697) loss_cl: -0.3665 (-0.3674) time: 0.8611 data: 0.0002 max mem: 29859 [08:46:52.923715] Epoch: [376] [520/850] eta: 0:04:47 lr: 0.001414 loss: 0.0111 (0.0125) loss_rec_all: 0.0474 (0.0487) loss_rec_sfr: 0.0474 (0.0695) loss_cl: -0.3667 (-0.3674) time: 0.8654 data: 0.0003 max mem: 29859 [08:47:10.238343] Epoch: [376] [540/850] eta: 0:04:29 lr: 0.001414 loss: 0.0115 (0.0125) loss_rec_all: 0.0479 (0.0487) loss_rec_sfr: 0.0566 (0.0695) loss_cl: -0.3670 (-0.3673) time: 0.8657 data: 0.0003 max mem: 29859 [08:47:27.515143] Epoch: [376] [560/850] eta: 0:04:12 lr: 0.001414 loss: 0.0114 (0.0125) loss_rec_all: 0.0478 (0.0487) loss_rec_sfr: 0.0543 (0.0694) loss_cl: -0.3676 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [08:47:44.735857] Epoch: [376] [580/850] eta: 0:03:54 lr: 0.001414 loss: 0.0111 (0.0124) loss_rec_all: 0.0476 (0.0487) loss_rec_sfr: 0.0486 (0.0691) loss_cl: -0.3680 (-0.3674) time: 0.8610 data: 0.0002 max mem: 29859 [08:48:02.132010] Epoch: [376] [600/850] eta: 0:03:37 lr: 0.001414 loss: 0.0107 (0.0124) loss_rec_all: 0.0472 (0.0487) loss_rec_sfr: 0.0518 (0.0688) loss_cl: -0.3678 (-0.3674) time: 0.8698 data: 0.0003 max mem: 29859 [08:48:19.373835] Epoch: [376] [620/850] eta: 0:03:19 lr: 0.001414 loss: 0.0124 (0.0124) loss_rec_all: 0.0484 (0.0487) loss_rec_sfr: 0.0813 (0.0691) loss_cl: -0.3672 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [08:48:36.660029] Epoch: [376] [640/850] eta: 0:03:02 lr: 0.001413 loss: 0.0131 (0.0125) loss_rec_all: 0.0493 (0.0487) loss_rec_sfr: 0.0561 (0.0690) loss_cl: -0.3670 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [08:48:53.937553] Epoch: [376] [660/850] eta: 0:02:45 lr: 0.001413 loss: 0.0126 (0.0125) loss_rec_all: 0.0486 (0.0487) loss_rec_sfr: 0.0670 (0.0690) loss_cl: -0.3670 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [08:49:11.205908] Epoch: [376] [680/850] eta: 0:02:27 lr: 0.001413 loss: 0.0123 (0.0125) loss_rec_all: 0.0487 (0.0487) loss_rec_sfr: 0.0803 (0.0692) loss_cl: -0.3671 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [08:49:28.443310] Epoch: [376] [700/850] eta: 0:02:10 lr: 0.001413 loss: 0.0122 (0.0125) loss_rec_all: 0.0485 (0.0487) loss_rec_sfr: 0.0543 (0.0692) loss_cl: -0.3677 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [08:49:45.786425] Epoch: [376] [720/850] eta: 0:01:52 lr: 0.001413 loss: 0.0113 (0.0125) loss_rec_all: 0.0477 (0.0487) loss_rec_sfr: 0.0529 (0.0691) loss_cl: -0.3674 (-0.3674) time: 0.8671 data: 0.0003 max mem: 29859 [08:50:02.992030] Epoch: [376] [740/850] eta: 0:01:35 lr: 0.001413 loss: 0.0109 (0.0125) loss_rec_all: 0.0473 (0.0487) loss_rec_sfr: 0.0521 (0.0691) loss_cl: -0.3674 (-0.3674) time: 0.8602 data: 0.0002 max mem: 29859 [08:50:20.269346] Epoch: [376] [760/850] eta: 0:01:18 lr: 0.001413 loss: 0.0121 (0.0125) loss_rec_all: 0.0484 (0.0487) loss_rec_sfr: 0.0524 (0.0690) loss_cl: -0.3670 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [08:50:37.572351] Epoch: [376] [780/850] eta: 0:01:00 lr: 0.001413 loss: 0.0118 (0.0125) loss_rec_all: 0.0482 (0.0487) loss_rec_sfr: 0.0551 (0.0691) loss_cl: -0.3674 (-0.3674) time: 0.8651 data: 0.0004 max mem: 29859 [08:50:54.974724] Epoch: [376] [800/850] eta: 0:00:43 lr: 0.001412 loss: 0.0121 (0.0125) loss_rec_all: 0.0485 (0.0487) loss_rec_sfr: 0.0545 (0.0690) loss_cl: -0.3675 (-0.3674) time: 0.8701 data: 0.0003 max mem: 29859 [08:51:12.195510] Epoch: [376] [820/850] eta: 0:00:26 lr: 0.001412 loss: 0.0123 (0.0125) loss_rec_all: 0.0485 (0.0488) loss_rec_sfr: 0.0568 (0.0689) loss_cl: -0.3674 (-0.3674) time: 0.8610 data: 0.0002 max mem: 29859 [08:51:29.469861] Epoch: [376] [840/850] eta: 0:00:08 lr: 0.001412 loss: 0.0114 (0.0125) loss_rec_all: 0.0478 (0.0487) loss_rec_sfr: 0.0520 (0.0688) loss_cl: -0.3679 (-0.3674) time: 0.8636 data: 0.0005 max mem: 29859 [08:51:37.273895] Epoch: [376] [849/850] eta: 0:00:00 lr: 0.001412 loss: 0.0124 (0.0125) loss_rec_all: 0.0488 (0.0488) loss_rec_sfr: 0.0520 (0.0688) loss_cl: -0.3679 (-0.3674) time: 0.8661 data: 0.0005 max mem: 29859 [08:51:37.409913] Epoch: [376] Total time: 0:12:17 (0.8678 s / it) [08:51:37.419380] Averaged stats: lr: 0.001412 loss: 0.0124 (0.0124) loss_rec_all: 0.0488 (0.0487) loss_rec_sfr: 0.0520 (0.0681) loss_cl: -0.3679 (-0.3674) [08:51:37.435767] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [08:51:41.814255] Epoch: [377] [ 0/850] eta: 1:02:01 lr: 0.001412 loss: 0.0148 (0.0148) loss_rec_all: 0.0510 (0.0510) loss_rec_sfr: 0.0700 (0.0700) loss_cl: -0.3664 (-0.3664) time: 4.3777 data: 3.5230 max mem: 29859 [08:51:59.015778] Epoch: [377] [ 20/850] eta: 0:14:12 lr: 0.001412 loss: 0.0117 (0.0120) loss_rec_all: 0.0481 (0.0483) loss_rec_sfr: 0.0493 (0.0631) loss_cl: -0.3676 (-0.3676) time: 0.8600 data: 0.0002 max mem: 29859 [08:52:16.311757] Epoch: [377] [ 40/850] eta: 0:12:47 lr: 0.001412 loss: 0.0123 (0.0123) loss_rec_all: 0.0485 (0.0486) loss_rec_sfr: 0.0693 (0.0673) loss_cl: -0.3677 (-0.3676) time: 0.8647 data: 0.0002 max mem: 29859 [08:52:33.574714] Epoch: [377] [ 60/850] eta: 0:12:06 lr: 0.001412 loss: 0.0109 (0.0119) loss_rec_all: 0.0473 (0.0482) loss_rec_sfr: 0.0550 (0.0654) loss_cl: -0.3675 (-0.3676) time: 0.8631 data: 0.0003 max mem: 29859 [08:52:50.828003] Epoch: [377] [ 80/850] eta: 0:11:37 lr: 0.001412 loss: 0.0117 (0.0119) loss_rec_all: 0.0480 (0.0482) loss_rec_sfr: 0.0613 (0.0654) loss_cl: -0.3668 (-0.3674) time: 0.8626 data: 0.0002 max mem: 29859 [08:53:08.093369] Epoch: [377] [100/850] eta: 0:11:13 lr: 0.001412 loss: 0.0112 (0.0119) loss_rec_all: 0.0475 (0.0482) loss_rec_sfr: 0.0515 (0.0658) loss_cl: -0.3670 (-0.3673) time: 0.8632 data: 0.0003 max mem: 29859 [08:53:25.405813] Epoch: [377] [120/850] eta: 0:10:51 lr: 0.001411 loss: 0.0121 (0.0120) loss_rec_all: 0.0483 (0.0482) loss_rec_sfr: 0.0691 (0.0673) loss_cl: -0.3671 (-0.3673) time: 0.8656 data: 0.0002 max mem: 29859 [08:53:42.658218] Epoch: [377] [140/850] eta: 0:10:30 lr: 0.001411 loss: 0.0131 (0.0123) loss_rec_all: 0.0495 (0.0485) loss_rec_sfr: 0.0681 (0.0677) loss_cl: -0.3671 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [08:53:59.945864] Epoch: [377] [160/850] eta: 0:10:10 lr: 0.001411 loss: 0.0135 (0.0125) loss_rec_all: 0.0498 (0.0487) loss_rec_sfr: 0.0593 (0.0686) loss_cl: -0.3676 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [08:54:17.185883] Epoch: [377] [180/850] eta: 0:09:51 lr: 0.001411 loss: 0.0131 (0.0126) loss_rec_all: 0.0495 (0.0488) loss_rec_sfr: 0.0547 (0.0679) loss_cl: -0.3678 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [08:54:34.460000] Epoch: [377] [200/850] eta: 0:09:32 lr: 0.001411 loss: 0.0122 (0.0126) loss_rec_all: 0.0486 (0.0489) loss_rec_sfr: 0.0522 (0.0674) loss_cl: -0.3681 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [08:54:51.686596] Epoch: [377] [220/850] eta: 0:09:13 lr: 0.001411 loss: 0.0119 (0.0126) loss_rec_all: 0.0484 (0.0489) loss_rec_sfr: 0.0707 (0.0678) loss_cl: -0.3679 (-0.3675) time: 0.8612 data: 0.0002 max mem: 29859 [08:55:08.978233] Epoch: [377] [240/850] eta: 0:08:55 lr: 0.001411 loss: 0.0113 (0.0126) loss_rec_all: 0.0477 (0.0488) loss_rec_sfr: 0.0511 (0.0672) loss_cl: -0.3677 (-0.3675) time: 0.8645 data: 0.0002 max mem: 29859 [08:55:26.192649] Epoch: [377] [260/850] eta: 0:08:37 lr: 0.001411 loss: 0.0116 (0.0126) loss_rec_all: 0.0478 (0.0488) loss_rec_sfr: 0.0567 (0.0675) loss_cl: -0.3675 (-0.3675) time: 0.8607 data: 0.0002 max mem: 29859 [08:55:43.483655] Epoch: [377] [280/850] eta: 0:08:19 lr: 0.001411 loss: 0.0119 (0.0125) loss_rec_all: 0.0482 (0.0488) loss_rec_sfr: 0.0497 (0.0673) loss_cl: -0.3670 (-0.3674) time: 0.8645 data: 0.0003 max mem: 29859 [08:56:00.790351] Epoch: [377] [300/850] eta: 0:08:01 lr: 0.001410 loss: 0.0122 (0.0126) loss_rec_all: 0.0484 (0.0488) loss_rec_sfr: 0.0543 (0.0671) loss_cl: -0.3665 (-0.3674) time: 0.8653 data: 0.0002 max mem: 29859 [08:56:18.064400] Epoch: [377] [320/850] eta: 0:07:43 lr: 0.001410 loss: 0.0118 (0.0126) loss_rec_all: 0.0479 (0.0488) loss_rec_sfr: 0.0667 (0.0672) loss_cl: -0.3667 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [08:56:35.333574] Epoch: [377] [340/850] eta: 0:07:25 lr: 0.001410 loss: 0.0119 (0.0125) loss_rec_all: 0.0483 (0.0488) loss_rec_sfr: 0.0663 (0.0673) loss_cl: -0.3674 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [08:56:52.632819] Epoch: [377] [360/850] eta: 0:07:07 lr: 0.001410 loss: 0.0108 (0.0125) loss_rec_all: 0.0473 (0.0487) loss_rec_sfr: 0.0484 (0.0671) loss_cl: -0.3675 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [08:57:09.853754] Epoch: [377] [380/850] eta: 0:06:50 lr: 0.001410 loss: 0.0110 (0.0124) loss_rec_all: 0.0475 (0.0487) loss_rec_sfr: 0.0475 (0.0666) loss_cl: -0.3676 (-0.3673) time: 0.8610 data: 0.0002 max mem: 29859 [08:57:27.165301] Epoch: [377] [400/850] eta: 0:06:32 lr: 0.001410 loss: 0.0117 (0.0124) loss_rec_all: 0.0479 (0.0487) loss_rec_sfr: 0.0691 (0.0669) loss_cl: -0.3677 (-0.3674) time: 0.8655 data: 0.0003 max mem: 29859 [08:57:44.469651] Epoch: [377] [420/850] eta: 0:06:14 lr: 0.001410 loss: 0.0113 (0.0124) loss_rec_all: 0.0477 (0.0486) loss_rec_sfr: 0.0497 (0.0670) loss_cl: -0.3676 (-0.3674) time: 0.8651 data: 0.0002 max mem: 29859 [08:58:01.775681] Epoch: [377] [440/850] eta: 0:05:57 lr: 0.001410 loss: 0.0119 (0.0124) loss_rec_all: 0.0483 (0.0486) loss_rec_sfr: 0.0658 (0.0671) loss_cl: -0.3675 (-0.3674) time: 0.8653 data: 0.0003 max mem: 29859 [08:58:19.000170] Epoch: [377] [460/850] eta: 0:05:39 lr: 0.001410 loss: 0.0117 (0.0124) loss_rec_all: 0.0479 (0.0486) loss_rec_sfr: 0.0777 (0.0674) loss_cl: -0.3671 (-0.3674) time: 0.8612 data: 0.0001 max mem: 29859 [08:58:36.331698] Epoch: [377] [480/850] eta: 0:05:22 lr: 0.001409 loss: 0.0129 (0.0124) loss_rec_all: 0.0487 (0.0486) loss_rec_sfr: 0.0667 (0.0675) loss_cl: -0.3671 (-0.3674) time: 0.8665 data: 0.0002 max mem: 29859 [08:58:53.559856] Epoch: [377] [500/850] eta: 0:05:04 lr: 0.001409 loss: 0.0117 (0.0124) loss_rec_all: 0.0480 (0.0486) loss_rec_sfr: 0.0513 (0.0674) loss_cl: -0.3672 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [08:59:10.810859] Epoch: [377] [520/850] eta: 0:04:47 lr: 0.001409 loss: 0.0123 (0.0124) loss_rec_all: 0.0484 (0.0487) loss_rec_sfr: 0.0764 (0.0677) loss_cl: -0.3679 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [08:59:28.084643] Epoch: [377] [540/850] eta: 0:04:29 lr: 0.001409 loss: 0.0115 (0.0124) loss_rec_all: 0.0480 (0.0486) loss_rec_sfr: 0.0522 (0.0677) loss_cl: -0.3679 (-0.3674) time: 0.8636 data: 0.0003 max mem: 29859 [08:59:45.349702] Epoch: [377] [560/850] eta: 0:04:12 lr: 0.001409 loss: 0.0112 (0.0124) loss_rec_all: 0.0475 (0.0486) loss_rec_sfr: 0.0474 (0.0673) loss_cl: -0.3675 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [09:00:02.567204] Epoch: [377] [580/850] eta: 0:03:54 lr: 0.001409 loss: 0.0119 (0.0123) loss_rec_all: 0.0482 (0.0486) loss_rec_sfr: 0.0510 (0.0672) loss_cl: -0.3674 (-0.3674) time: 0.8608 data: 0.0002 max mem: 29859 [09:00:19.868473] Epoch: [377] [600/850] eta: 0:03:37 lr: 0.001409 loss: 0.0114 (0.0123) loss_rec_all: 0.0478 (0.0486) loss_rec_sfr: 0.0588 (0.0672) loss_cl: -0.3676 (-0.3674) time: 0.8650 data: 0.0003 max mem: 29859 [09:00:37.088968] Epoch: [377] [620/850] eta: 0:03:19 lr: 0.001409 loss: 0.0128 (0.0124) loss_rec_all: 0.0492 (0.0487) loss_rec_sfr: 0.0534 (0.0671) loss_cl: -0.3673 (-0.3674) time: 0.8610 data: 0.0002 max mem: 29859 [09:00:54.347384] Epoch: [377] [640/850] eta: 0:03:02 lr: 0.001408 loss: 0.0126 (0.0124) loss_rec_all: 0.0487 (0.0487) loss_rec_sfr: 0.0508 (0.0671) loss_cl: -0.3671 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [09:01:11.633311] Epoch: [377] [660/850] eta: 0:02:45 lr: 0.001408 loss: 0.0119 (0.0124) loss_rec_all: 0.0482 (0.0487) loss_rec_sfr: 0.0498 (0.0669) loss_cl: -0.3677 (-0.3674) time: 0.8642 data: 0.0003 max mem: 29859 [09:01:28.903732] Epoch: [377] [680/850] eta: 0:02:27 lr: 0.001408 loss: 0.0118 (0.0124) loss_rec_all: 0.0482 (0.0487) loss_rec_sfr: 0.0519 (0.0669) loss_cl: -0.3678 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [09:01:46.128458] Epoch: [377] [700/850] eta: 0:02:10 lr: 0.001408 loss: 0.0125 (0.0125) loss_rec_all: 0.0489 (0.0487) loss_rec_sfr: 0.0679 (0.0670) loss_cl: -0.3672 (-0.3674) time: 0.8612 data: 0.0002 max mem: 29859 [09:02:03.463157] Epoch: [377] [720/850] eta: 0:01:52 lr: 0.001408 loss: 0.0124 (0.0125) loss_rec_all: 0.0487 (0.0487) loss_rec_sfr: 0.0517 (0.0670) loss_cl: -0.3674 (-0.3674) time: 0.8666 data: 0.0002 max mem: 29859 [09:02:20.701450] Epoch: [377] [740/850] eta: 0:01:35 lr: 0.001408 loss: 0.0125 (0.0125) loss_rec_all: 0.0488 (0.0487) loss_rec_sfr: 0.0538 (0.0671) loss_cl: -0.3668 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [09:02:37.970606] Epoch: [377] [760/850] eta: 0:01:18 lr: 0.001408 loss: 0.0141 (0.0125) loss_rec_all: 0.0499 (0.0488) loss_rec_sfr: 0.0695 (0.0673) loss_cl: -0.3664 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [09:02:55.330195] Epoch: [377] [780/850] eta: 0:01:00 lr: 0.001408 loss: 0.0129 (0.0125) loss_rec_all: 0.0491 (0.0488) loss_rec_sfr: 0.0546 (0.0672) loss_cl: -0.3667 (-0.3673) time: 0.8678 data: 0.0003 max mem: 29859 [09:03:12.626531] Epoch: [377] [800/850] eta: 0:00:43 lr: 0.001408 loss: 0.0126 (0.0125) loss_rec_all: 0.0489 (0.0488) loss_rec_sfr: 0.0680 (0.0674) loss_cl: -0.3670 (-0.3673) time: 0.8648 data: 0.0003 max mem: 29859 [09:03:29.845978] Epoch: [377] [820/850] eta: 0:00:26 lr: 0.001407 loss: 0.0117 (0.0125) loss_rec_all: 0.0482 (0.0488) loss_rec_sfr: 0.0704 (0.0674) loss_cl: -0.3678 (-0.3673) time: 0.8609 data: 0.0002 max mem: 29859 [09:03:47.111253] Epoch: [377] [840/850] eta: 0:00:08 lr: 0.001407 loss: 0.0120 (0.0125) loss_rec_all: 0.0484 (0.0488) loss_rec_sfr: 0.0687 (0.0675) loss_cl: -0.3682 (-0.3674) time: 0.8632 data: 0.0005 max mem: 29859 [09:03:54.890522] Epoch: [377] [849/850] eta: 0:00:00 lr: 0.001407 loss: 0.0121 (0.0125) loss_rec_all: 0.0486 (0.0488) loss_rec_sfr: 0.0537 (0.0676) loss_cl: -0.3684 (-0.3674) time: 0.8649 data: 0.0005 max mem: 29859 [09:03:55.021875] Epoch: [377] Total time: 0:12:17 (0.8677 s / it) [09:03:55.025238] Averaged stats: lr: 0.001407 loss: 0.0121 (0.0125) loss_rec_all: 0.0486 (0.0488) loss_rec_sfr: 0.0537 (0.0677) loss_cl: -0.3684 (-0.3674) [09:03:55.038563] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [09:03:59.370650] Epoch: [378] [ 0/850] eta: 1:01:21 lr: 0.001407 loss: 0.0122 (0.0122) loss_rec_all: 0.0483 (0.0483) loss_rec_sfr: 0.0998 (0.0998) loss_cl: -0.3681 (-0.3681) time: 4.3314 data: 3.4765 max mem: 29859 [09:04:16.558875] Epoch: [378] [ 20/850] eta: 0:14:10 lr: 0.001407 loss: 0.0125 (0.0129) loss_rec_all: 0.0487 (0.0492) loss_rec_sfr: 0.0686 (0.0700) loss_cl: -0.3683 (-0.3683) time: 0.8594 data: 0.0001 max mem: 29859 [09:04:33.820441] Epoch: [378] [ 40/850] eta: 0:12:46 lr: 0.001407 loss: 0.0132 (0.0131) loss_rec_all: 0.0496 (0.0494) loss_rec_sfr: 0.0698 (0.0702) loss_cl: -0.3682 (-0.3683) time: 0.8630 data: 0.0002 max mem: 29859 [09:04:51.085931] Epoch: [378] [ 60/850] eta: 0:12:05 lr: 0.001407 loss: 0.0124 (0.0129) loss_rec_all: 0.0487 (0.0492) loss_rec_sfr: 0.0696 (0.0725) loss_cl: -0.3677 (-0.3680) time: 0.8632 data: 0.0003 max mem: 29859 [09:05:08.344275] Epoch: [378] [ 80/850] eta: 0:11:36 lr: 0.001407 loss: 0.0117 (0.0127) loss_rec_all: 0.0478 (0.0490) loss_rec_sfr: 0.0574 (0.0707) loss_cl: -0.3672 (-0.3678) time: 0.8628 data: 0.0002 max mem: 29859 [09:05:25.581571] Epoch: [378] [100/850] eta: 0:11:12 lr: 0.001407 loss: 0.0122 (0.0127) loss_rec_all: 0.0484 (0.0489) loss_rec_sfr: 0.0554 (0.0701) loss_cl: -0.3666 (-0.3676) time: 0.8618 data: 0.0002 max mem: 29859 [09:05:42.863311] Epoch: [378] [120/850] eta: 0:10:50 lr: 0.001407 loss: 0.0110 (0.0125) loss_rec_all: 0.0472 (0.0488) loss_rec_sfr: 0.0479 (0.0680) loss_cl: -0.3665 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [09:06:00.079304] Epoch: [378] [140/850] eta: 0:10:29 lr: 0.001407 loss: 0.0109 (0.0124) loss_rec_all: 0.0472 (0.0487) loss_rec_sfr: 0.0476 (0.0672) loss_cl: -0.3672 (-0.3673) time: 0.8608 data: 0.0002 max mem: 29859 [09:06:17.361949] Epoch: [378] [160/850] eta: 0:10:09 lr: 0.001406 loss: 0.0117 (0.0124) loss_rec_all: 0.0482 (0.0486) loss_rec_sfr: 0.0578 (0.0670) loss_cl: -0.3674 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [09:06:34.616595] Epoch: [378] [180/850] eta: 0:09:50 lr: 0.001406 loss: 0.0107 (0.0122) loss_rec_all: 0.0470 (0.0485) loss_rec_sfr: 0.0507 (0.0667) loss_cl: -0.3673 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [09:06:51.871525] Epoch: [378] [200/850] eta: 0:09:31 lr: 0.001406 loss: 0.0107 (0.0122) loss_rec_all: 0.0472 (0.0484) loss_rec_sfr: 0.0710 (0.0667) loss_cl: -0.3683 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [09:07:09.120348] Epoch: [378] [220/850] eta: 0:09:13 lr: 0.001406 loss: 0.0110 (0.0121) loss_rec_all: 0.0474 (0.0484) loss_rec_sfr: 0.0512 (0.0663) loss_cl: -0.3680 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [09:07:26.407179] Epoch: [378] [240/850] eta: 0:08:54 lr: 0.001406 loss: 0.0121 (0.0121) loss_rec_all: 0.0483 (0.0484) loss_rec_sfr: 0.0658 (0.0665) loss_cl: -0.3678 (-0.3675) time: 0.8643 data: 0.0002 max mem: 29859 [09:07:43.636523] Epoch: [378] [260/850] eta: 0:08:36 lr: 0.001406 loss: 0.0119 (0.0122) loss_rec_all: 0.0481 (0.0484) loss_rec_sfr: 0.0538 (0.0666) loss_cl: -0.3675 (-0.3675) time: 0.8614 data: 0.0002 max mem: 29859 [09:08:00.952361] Epoch: [378] [280/850] eta: 0:08:18 lr: 0.001406 loss: 0.0121 (0.0122) loss_rec_all: 0.0485 (0.0485) loss_rec_sfr: 0.0693 (0.0667) loss_cl: -0.3672 (-0.3674) time: 0.8657 data: 0.0002 max mem: 29859 [09:08:18.190664] Epoch: [378] [300/850] eta: 0:08:00 lr: 0.001406 loss: 0.0120 (0.0122) loss_rec_all: 0.0482 (0.0485) loss_rec_sfr: 0.0698 (0.0670) loss_cl: -0.3666 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [09:08:35.448866] Epoch: [378] [320/850] eta: 0:07:42 lr: 0.001405 loss: 0.0124 (0.0123) loss_rec_all: 0.0487 (0.0485) loss_rec_sfr: 0.0541 (0.0669) loss_cl: -0.3669 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [09:08:52.716292] Epoch: [378] [340/850] eta: 0:07:25 lr: 0.001405 loss: 0.0125 (0.0123) loss_rec_all: 0.0486 (0.0485) loss_rec_sfr: 0.0491 (0.0666) loss_cl: -0.3668 (-0.3673) time: 0.8632 data: 0.0004 max mem: 29859 [09:09:09.986619] Epoch: [378] [360/850] eta: 0:07:07 lr: 0.001405 loss: 0.0112 (0.0123) loss_rec_all: 0.0475 (0.0485) loss_rec_sfr: 0.0516 (0.0666) loss_cl: -0.3675 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [09:09:27.206137] Epoch: [378] [380/850] eta: 0:06:49 lr: 0.001405 loss: 0.0111 (0.0122) loss_rec_all: 0.0474 (0.0485) loss_rec_sfr: 0.0487 (0.0661) loss_cl: -0.3680 (-0.3673) time: 0.8609 data: 0.0002 max mem: 29859 [09:09:44.545190] Epoch: [378] [400/850] eta: 0:06:32 lr: 0.001405 loss: 0.0132 (0.0123) loss_rec_all: 0.0493 (0.0485) loss_rec_sfr: 0.0535 (0.0661) loss_cl: -0.3681 (-0.3674) time: 0.8669 data: 0.0002 max mem: 29859 [09:10:01.759632] Epoch: [378] [420/850] eta: 0:06:14 lr: 0.001405 loss: 0.0113 (0.0122) loss_rec_all: 0.0475 (0.0485) loss_rec_sfr: 0.0490 (0.0659) loss_cl: -0.3678 (-0.3674) time: 0.8607 data: 0.0002 max mem: 29859 [09:10:19.038554] Epoch: [378] [440/850] eta: 0:05:56 lr: 0.001405 loss: 0.0122 (0.0123) loss_rec_all: 0.0482 (0.0485) loss_rec_sfr: 0.0630 (0.0659) loss_cl: -0.3676 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [09:10:36.350290] Epoch: [378] [460/850] eta: 0:05:39 lr: 0.001405 loss: 0.0113 (0.0123) loss_rec_all: 0.0476 (0.0485) loss_rec_sfr: 0.0696 (0.0660) loss_cl: -0.3671 (-0.3674) time: 0.8655 data: 0.0002 max mem: 29859 [09:10:53.611560] Epoch: [378] [480/850] eta: 0:05:21 lr: 0.001405 loss: 0.0117 (0.0122) loss_rec_all: 0.0481 (0.0485) loss_rec_sfr: 0.0494 (0.0657) loss_cl: -0.3669 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [09:11:10.846498] Epoch: [378] [500/850] eta: 0:05:04 lr: 0.001404 loss: 0.0123 (0.0123) loss_rec_all: 0.0484 (0.0485) loss_rec_sfr: 0.0582 (0.0657) loss_cl: -0.3666 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [09:11:28.152109] Epoch: [378] [520/850] eta: 0:04:46 lr: 0.001404 loss: 0.0114 (0.0123) loss_rec_all: 0.0478 (0.0485) loss_rec_sfr: 0.0520 (0.0655) loss_cl: -0.3676 (-0.3673) time: 0.8652 data: 0.0003 max mem: 29859 [09:11:45.376398] Epoch: [378] [540/850] eta: 0:04:29 lr: 0.001404 loss: 0.0121 (0.0123) loss_rec_all: 0.0485 (0.0486) loss_rec_sfr: 0.0536 (0.0657) loss_cl: -0.3678 (-0.3674) time: 0.8612 data: 0.0002 max mem: 29859 [09:12:02.638436] Epoch: [378] [560/850] eta: 0:04:12 lr: 0.001404 loss: 0.0128 (0.0123) loss_rec_all: 0.0491 (0.0486) loss_rec_sfr: 0.0516 (0.0661) loss_cl: -0.3671 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [09:12:19.892201] Epoch: [378] [580/850] eta: 0:03:54 lr: 0.001404 loss: 0.0122 (0.0123) loss_rec_all: 0.0484 (0.0486) loss_rec_sfr: 0.0683 (0.0662) loss_cl: -0.3675 (-0.3674) time: 0.8626 data: 0.0002 max mem: 29859 [09:12:37.193672] Epoch: [378] [600/850] eta: 0:03:37 lr: 0.001404 loss: 0.0122 (0.0123) loss_rec_all: 0.0483 (0.0486) loss_rec_sfr: 0.0491 (0.0660) loss_cl: -0.3672 (-0.3674) time: 0.8650 data: 0.0002 max mem: 29859 [09:12:54.463522] Epoch: [378] [620/850] eta: 0:03:19 lr: 0.001404 loss: 0.0123 (0.0123) loss_rec_all: 0.0487 (0.0486) loss_rec_sfr: 0.0712 (0.0662) loss_cl: -0.3673 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [09:13:11.766300] Epoch: [378] [640/850] eta: 0:03:02 lr: 0.001404 loss: 0.0113 (0.0123) loss_rec_all: 0.0477 (0.0486) loss_rec_sfr: 0.0467 (0.0660) loss_cl: -0.3675 (-0.3674) time: 0.8651 data: 0.0002 max mem: 29859 [09:13:28.989609] Epoch: [378] [660/850] eta: 0:02:44 lr: 0.001404 loss: 0.0111 (0.0123) loss_rec_all: 0.0473 (0.0485) loss_rec_sfr: 0.0509 (0.0660) loss_cl: -0.3678 (-0.3674) time: 0.8611 data: 0.0002 max mem: 29859 [09:13:46.311323] Epoch: [378] [680/850] eta: 0:02:27 lr: 0.001403 loss: 0.0108 (0.0123) loss_rec_all: 0.0472 (0.0485) loss_rec_sfr: 0.0500 (0.0660) loss_cl: -0.3677 (-0.3674) time: 0.8660 data: 0.0003 max mem: 29859 [09:14:03.572543] Epoch: [378] [700/850] eta: 0:02:10 lr: 0.001403 loss: 0.0105 (0.0122) loss_rec_all: 0.0469 (0.0485) loss_rec_sfr: 0.0481 (0.0657) loss_cl: -0.3675 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [09:14:20.834863] Epoch: [378] [720/850] eta: 0:01:52 lr: 0.001403 loss: 0.0117 (0.0122) loss_rec_all: 0.0478 (0.0485) loss_rec_sfr: 0.0526 (0.0657) loss_cl: -0.3672 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [09:14:38.100089] Epoch: [378] [740/850] eta: 0:01:35 lr: 0.001403 loss: 0.0115 (0.0122) loss_rec_all: 0.0480 (0.0485) loss_rec_sfr: 0.0544 (0.0656) loss_cl: -0.3676 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [09:14:55.381147] Epoch: [378] [760/850] eta: 0:01:18 lr: 0.001403 loss: 0.0116 (0.0122) loss_rec_all: 0.0478 (0.0485) loss_rec_sfr: 0.0701 (0.0657) loss_cl: -0.3672 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [09:15:12.616293] Epoch: [378] [780/850] eta: 0:01:00 lr: 0.001403 loss: 0.0115 (0.0122) loss_rec_all: 0.0478 (0.0485) loss_rec_sfr: 0.0675 (0.0658) loss_cl: -0.3672 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [09:15:29.936890] Epoch: [378] [800/850] eta: 0:00:43 lr: 0.001403 loss: 0.0125 (0.0122) loss_rec_all: 0.0487 (0.0485) loss_rec_sfr: 0.0728 (0.0660) loss_cl: -0.3672 (-0.3674) time: 0.8660 data: 0.0002 max mem: 29859 [09:15:47.174983] Epoch: [378] [820/850] eta: 0:00:26 lr: 0.001403 loss: 0.0118 (0.0122) loss_rec_all: 0.0479 (0.0485) loss_rec_sfr: 0.0505 (0.0660) loss_cl: -0.3670 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [09:16:04.455688] Epoch: [378] [840/850] eta: 0:00:08 lr: 0.001402 loss: 0.0123 (0.0122) loss_rec_all: 0.0487 (0.0485) loss_rec_sfr: 0.0501 (0.0661) loss_cl: -0.3671 (-0.3673) time: 0.8640 data: 0.0005 max mem: 29859 [09:16:12.228647] Epoch: [378] [849/850] eta: 0:00:00 lr: 0.001402 loss: 0.0128 (0.0122) loss_rec_all: 0.0490 (0.0485) loss_rec_sfr: 0.0702 (0.0662) loss_cl: -0.3671 (-0.3673) time: 0.8643 data: 0.0005 max mem: 29859 [09:16:12.365282] Epoch: [378] Total time: 0:12:17 (0.8674 s / it) [09:16:12.372146] Averaged stats: lr: 0.001402 loss: 0.0128 (0.0123) loss_rec_all: 0.0490 (0.0485) loss_rec_sfr: 0.0702 (0.0670) loss_cl: -0.3671 (-0.3674) [09:16:12.391269] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [09:16:16.942483] Epoch: [379] [ 0/850] eta: 1:04:27 lr: 0.001402 loss: 0.0105 (0.0105) loss_rec_all: 0.0470 (0.0470) loss_rec_sfr: 0.0438 (0.0438) loss_cl: -0.3677 (-0.3677) time: 4.5502 data: 3.5846 max mem: 29859 [09:16:34.148482] Epoch: [379] [ 20/850] eta: 0:14:19 lr: 0.001402 loss: 0.0116 (0.0115) loss_rec_all: 0.0479 (0.0478) loss_rec_sfr: 0.0530 (0.0654) loss_cl: -0.3678 (-0.3677) time: 0.8603 data: 0.0001 max mem: 29859 [09:16:51.402345] Epoch: [379] [ 40/850] eta: 0:12:50 lr: 0.001402 loss: 0.0108 (0.0112) loss_rec_all: 0.0472 (0.0475) loss_rec_sfr: 0.0464 (0.0634) loss_cl: -0.3676 (-0.3676) time: 0.8626 data: 0.0002 max mem: 29859 [09:17:08.710743] Epoch: [379] [ 60/850] eta: 0:12:09 lr: 0.001402 loss: 0.0110 (0.0114) loss_rec_all: 0.0474 (0.0477) loss_rec_sfr: 0.0493 (0.0649) loss_cl: -0.3675 (-0.3676) time: 0.8653 data: 0.0002 max mem: 29859 [09:17:26.056513] Epoch: [379] [ 80/850] eta: 0:11:40 lr: 0.001402 loss: 0.0110 (0.0115) loss_rec_all: 0.0474 (0.0478) loss_rec_sfr: 0.0541 (0.0654) loss_cl: -0.3674 (-0.3675) time: 0.8672 data: 0.0003 max mem: 29859 [09:17:43.294188] Epoch: [379] [100/850] eta: 0:11:14 lr: 0.001402 loss: 0.0107 (0.0114) loss_rec_all: 0.0472 (0.0477) loss_rec_sfr: 0.0507 (0.0661) loss_cl: -0.3674 (-0.3675) time: 0.8618 data: 0.0002 max mem: 29859 [09:18:00.564188] Epoch: [379] [120/850] eta: 0:10:52 lr: 0.001402 loss: 0.0108 (0.0114) loss_rec_all: 0.0472 (0.0477) loss_rec_sfr: 0.0500 (0.0659) loss_cl: -0.3676 (-0.3675) time: 0.8634 data: 0.0002 max mem: 29859 [09:18:17.851750] Epoch: [379] [140/850] eta: 0:10:31 lr: 0.001402 loss: 0.0117 (0.0116) loss_rec_all: 0.0481 (0.0479) loss_rec_sfr: 0.0670 (0.0659) loss_cl: -0.3673 (-0.3675) time: 0.8643 data: 0.0002 max mem: 29859 [09:18:35.139905] Epoch: [379] [160/850] eta: 0:10:11 lr: 0.001401 loss: 0.0108 (0.0116) loss_rec_all: 0.0472 (0.0479) loss_rec_sfr: 0.0510 (0.0655) loss_cl: -0.3675 (-0.3675) time: 0.8643 data: 0.0002 max mem: 29859 [09:18:52.379089] Epoch: [379] [180/850] eta: 0:09:52 lr: 0.001401 loss: 0.0117 (0.0117) loss_rec_all: 0.0481 (0.0480) loss_rec_sfr: 0.0669 (0.0654) loss_cl: -0.3673 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [09:19:09.703002] Epoch: [379] [200/850] eta: 0:09:33 lr: 0.001401 loss: 0.0109 (0.0117) loss_rec_all: 0.0473 (0.0480) loss_rec_sfr: 0.0657 (0.0653) loss_cl: -0.3672 (-0.3674) time: 0.8661 data: 0.0002 max mem: 29859 [09:19:26.920285] Epoch: [379] [220/850] eta: 0:09:14 lr: 0.001401 loss: 0.0105 (0.0117) loss_rec_all: 0.0469 (0.0480) loss_rec_sfr: 0.0476 (0.0647) loss_cl: -0.3674 (-0.3674) time: 0.8608 data: 0.0002 max mem: 29859 [09:19:44.211495] Epoch: [379] [240/850] eta: 0:08:56 lr: 0.001401 loss: 0.0117 (0.0118) loss_rec_all: 0.0481 (0.0481) loss_rec_sfr: 0.0516 (0.0646) loss_cl: -0.3673 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [09:20:01.478388] Epoch: [379] [260/850] eta: 0:08:37 lr: 0.001401 loss: 0.0118 (0.0118) loss_rec_all: 0.0480 (0.0481) loss_rec_sfr: 0.0488 (0.0641) loss_cl: -0.3675 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [09:20:18.749611] Epoch: [379] [280/850] eta: 0:08:19 lr: 0.001401 loss: 0.0132 (0.0119) loss_rec_all: 0.0493 (0.0482) loss_rec_sfr: 0.0657 (0.0646) loss_cl: -0.3681 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [09:20:36.029645] Epoch: [379] [300/850] eta: 0:08:01 lr: 0.001401 loss: 0.0145 (0.0121) loss_rec_all: 0.0509 (0.0483) loss_rec_sfr: 0.0585 (0.0652) loss_cl: -0.3681 (-0.3675) time: 0.8639 data: 0.0002 max mem: 29859 [09:20:53.308489] Epoch: [379] [320/850] eta: 0:07:43 lr: 0.001401 loss: 0.0131 (0.0121) loss_rec_all: 0.0494 (0.0484) loss_rec_sfr: 0.0706 (0.0657) loss_cl: -0.3680 (-0.3675) time: 0.8639 data: 0.0002 max mem: 29859 [09:21:10.541389] Epoch: [379] [340/850] eta: 0:07:25 lr: 0.001400 loss: 0.0125 (0.0122) loss_rec_all: 0.0489 (0.0485) loss_rec_sfr: 0.0532 (0.0658) loss_cl: -0.3674 (-0.3675) time: 0.8616 data: 0.0002 max mem: 29859 [09:21:27.849294] Epoch: [379] [360/850] eta: 0:07:08 lr: 0.001400 loss: 0.0118 (0.0122) loss_rec_all: 0.0482 (0.0485) loss_rec_sfr: 0.0522 (0.0656) loss_cl: -0.3674 (-0.3675) time: 0.8653 data: 0.0002 max mem: 29859 [09:21:45.096556] Epoch: [379] [380/850] eta: 0:06:50 lr: 0.001400 loss: 0.0131 (0.0122) loss_rec_all: 0.0493 (0.0485) loss_rec_sfr: 0.0639 (0.0656) loss_cl: -0.3674 (-0.3675) time: 0.8623 data: 0.0002 max mem: 29859 [09:22:02.361583] Epoch: [379] [400/850] eta: 0:06:32 lr: 0.001400 loss: 0.0126 (0.0122) loss_rec_all: 0.0487 (0.0485) loss_rec_sfr: 0.0844 (0.0663) loss_cl: -0.3670 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [09:22:19.630379] Epoch: [379] [420/850] eta: 0:06:15 lr: 0.001400 loss: 0.0112 (0.0122) loss_rec_all: 0.0474 (0.0485) loss_rec_sfr: 0.0695 (0.0665) loss_cl: -0.3666 (-0.3674) time: 0.8634 data: 0.0003 max mem: 29859 [09:22:36.995974] Epoch: [379] [440/850] eta: 0:05:57 lr: 0.001400 loss: 0.0119 (0.0123) loss_rec_all: 0.0483 (0.0486) loss_rec_sfr: 0.0707 (0.0667) loss_cl: -0.3673 (-0.3674) time: 0.8682 data: 0.0002 max mem: 29859 [09:22:54.229792] Epoch: [379] [460/850] eta: 0:05:39 lr: 0.001400 loss: 0.0134 (0.0123) loss_rec_all: 0.0498 (0.0486) loss_rec_sfr: 0.0674 (0.0669) loss_cl: -0.3675 (-0.3674) time: 0.8616 data: 0.0002 max mem: 29859 [09:23:11.490481] Epoch: [379] [480/850] eta: 0:05:22 lr: 0.001400 loss: 0.0111 (0.0123) loss_rec_all: 0.0475 (0.0486) loss_rec_sfr: 0.0505 (0.0666) loss_cl: -0.3676 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [09:23:28.803313] Epoch: [379] [500/850] eta: 0:05:04 lr: 0.001400 loss: 0.0123 (0.0124) loss_rec_all: 0.0486 (0.0486) loss_rec_sfr: 0.0755 (0.0670) loss_cl: -0.3673 (-0.3674) time: 0.8656 data: 0.0003 max mem: 29859 [09:23:46.071925] Epoch: [379] [520/850] eta: 0:04:47 lr: 0.001399 loss: 0.0123 (0.0124) loss_rec_all: 0.0486 (0.0486) loss_rec_sfr: 0.0690 (0.0672) loss_cl: -0.3670 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [09:24:03.302512] Epoch: [379] [540/850] eta: 0:04:29 lr: 0.001399 loss: 0.0114 (0.0124) loss_rec_all: 0.0477 (0.0486) loss_rec_sfr: 0.0544 (0.0671) loss_cl: -0.3671 (-0.3674) time: 0.8615 data: 0.0002 max mem: 29859 [09:24:20.623299] Epoch: [379] [560/850] eta: 0:04:12 lr: 0.001399 loss: 0.0116 (0.0124) loss_rec_all: 0.0479 (0.0486) loss_rec_sfr: 0.0646 (0.0670) loss_cl: -0.3676 (-0.3674) time: 0.8660 data: 0.0002 max mem: 29859 [09:24:37.915732] Epoch: [379] [580/850] eta: 0:03:54 lr: 0.001399 loss: 0.0110 (0.0123) loss_rec_all: 0.0474 (0.0486) loss_rec_sfr: 0.0526 (0.0670) loss_cl: -0.3677 (-0.3674) time: 0.8646 data: 0.0002 max mem: 29859 [09:24:55.183882] Epoch: [379] [600/850] eta: 0:03:37 lr: 0.001399 loss: 0.0117 (0.0123) loss_rec_all: 0.0481 (0.0486) loss_rec_sfr: 0.0513 (0.0669) loss_cl: -0.3676 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [09:25:12.413291] Epoch: [379] [620/850] eta: 0:03:19 lr: 0.001399 loss: 0.0114 (0.0123) loss_rec_all: 0.0477 (0.0486) loss_rec_sfr: 0.0548 (0.0669) loss_cl: -0.3677 (-0.3674) time: 0.8614 data: 0.0002 max mem: 29859 [09:25:29.804703] Epoch: [379] [640/850] eta: 0:03:02 lr: 0.001399 loss: 0.0127 (0.0124) loss_rec_all: 0.0489 (0.0486) loss_rec_sfr: 0.0704 (0.0671) loss_cl: -0.3673 (-0.3674) time: 0.8695 data: 0.0002 max mem: 29859 [09:25:47.023338] Epoch: [379] [660/850] eta: 0:02:45 lr: 0.001399 loss: 0.0118 (0.0124) loss_rec_all: 0.0480 (0.0486) loss_rec_sfr: 0.0650 (0.0671) loss_cl: -0.3669 (-0.3674) time: 0.8609 data: 0.0002 max mem: 29859 [09:26:04.318811] Epoch: [379] [680/850] eta: 0:02:27 lr: 0.001398 loss: 0.0125 (0.0124) loss_rec_all: 0.0487 (0.0487) loss_rec_sfr: 0.0714 (0.0673) loss_cl: -0.3672 (-0.3674) time: 0.8647 data: 0.0003 max mem: 29859 [09:26:21.582990] Epoch: [379] [700/850] eta: 0:02:10 lr: 0.001398 loss: 0.0125 (0.0124) loss_rec_all: 0.0488 (0.0487) loss_rec_sfr: 0.0543 (0.0674) loss_cl: -0.3673 (-0.3674) time: 0.8632 data: 0.0003 max mem: 29859 [09:26:38.853843] Epoch: [379] [720/850] eta: 0:01:52 lr: 0.001398 loss: 0.0127 (0.0124) loss_rec_all: 0.0489 (0.0487) loss_rec_sfr: 0.0587 (0.0676) loss_cl: -0.3676 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [09:26:56.100842] Epoch: [379] [740/850] eta: 0:01:35 lr: 0.001398 loss: 0.0124 (0.0125) loss_rec_all: 0.0487 (0.0487) loss_rec_sfr: 0.0544 (0.0677) loss_cl: -0.3674 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [09:27:13.434318] Epoch: [379] [760/850] eta: 0:01:18 lr: 0.001398 loss: 0.0125 (0.0125) loss_rec_all: 0.0487 (0.0487) loss_rec_sfr: 0.0594 (0.0677) loss_cl: -0.3670 (-0.3674) time: 0.8666 data: 0.0002 max mem: 29859 [09:27:30.676101] Epoch: [379] [780/850] eta: 0:01:00 lr: 0.001398 loss: 0.0127 (0.0125) loss_rec_all: 0.0491 (0.0488) loss_rec_sfr: 0.0622 (0.0678) loss_cl: -0.3669 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [09:27:47.959083] Epoch: [379] [800/850] eta: 0:00:43 lr: 0.001398 loss: 0.0133 (0.0125) loss_rec_all: 0.0495 (0.0488) loss_rec_sfr: 0.0754 (0.0681) loss_cl: -0.3674 (-0.3673) time: 0.8641 data: 0.0007 max mem: 29859 [09:28:05.194969] Epoch: [379] [820/850] eta: 0:00:26 lr: 0.001398 loss: 0.0119 (0.0125) loss_rec_all: 0.0482 (0.0488) loss_rec_sfr: 0.0551 (0.0681) loss_cl: -0.3676 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [09:28:22.460429] Epoch: [379] [840/850] eta: 0:00:08 lr: 0.001398 loss: 0.0121 (0.0125) loss_rec_all: 0.0485 (0.0488) loss_rec_sfr: 0.0496 (0.0679) loss_cl: -0.3676 (-0.3674) time: 0.8632 data: 0.0005 max mem: 29859 [09:28:30.219545] Epoch: [379] [849/850] eta: 0:00:00 lr: 0.001398 loss: 0.0122 (0.0125) loss_rec_all: 0.0486 (0.0488) loss_rec_sfr: 0.0523 (0.0680) loss_cl: -0.3676 (-0.3674) time: 0.8634 data: 0.0004 max mem: 29859 [09:28:30.352813] Epoch: [379] Total time: 0:12:17 (0.8682 s / it) [09:28:30.363584] Averaged stats: lr: 0.001398 loss: 0.0122 (0.0126) loss_rec_all: 0.0486 (0.0488) loss_rec_sfr: 0.0523 (0.0687) loss_cl: -0.3676 (-0.3674) [09:28:30.376618] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [09:28:34.344165] Epoch: [380] [ 0/850] eta: 0:56:11 lr: 0.001398 loss: 0.0098 (0.0098) loss_rec_all: 0.0463 (0.0463) loss_rec_sfr: 0.0451 (0.0451) loss_cl: -0.3679 (-0.3679) time: 3.9665 data: 3.1092 max mem: 29859 [09:28:51.543995] Epoch: [380] [ 20/850] eta: 0:13:56 lr: 0.001397 loss: 0.0120 (0.0120) loss_rec_all: 0.0481 (0.0483) loss_rec_sfr: 0.0670 (0.0668) loss_cl: -0.3678 (-0.3677) time: 0.8599 data: 0.0002 max mem: 29859 [09:29:08.780511] Epoch: [380] [ 40/850] eta: 0:12:38 lr: 0.001397 loss: 0.0112 (0.0119) loss_rec_all: 0.0477 (0.0483) loss_rec_sfr: 0.0498 (0.0654) loss_cl: -0.3680 (-0.3678) time: 0.8618 data: 0.0002 max mem: 29859 [09:29:26.039134] Epoch: [380] [ 60/850] eta: 0:12:00 lr: 0.001397 loss: 0.0108 (0.0116) loss_rec_all: 0.0470 (0.0479) loss_rec_sfr: 0.0677 (0.0659) loss_cl: -0.3678 (-0.3678) time: 0.8629 data: 0.0003 max mem: 29859 [09:29:43.407563] Epoch: [380] [ 80/850] eta: 0:11:34 lr: 0.001397 loss: 0.0105 (0.0116) loss_rec_all: 0.0469 (0.0479) loss_rec_sfr: 0.0494 (0.0646) loss_cl: -0.3671 (-0.3676) time: 0.8684 data: 0.0003 max mem: 29859 [09:30:00.631761] Epoch: [380] [100/850] eta: 0:11:10 lr: 0.001397 loss: 0.0112 (0.0118) loss_rec_all: 0.0476 (0.0481) loss_rec_sfr: 0.0512 (0.0654) loss_cl: -0.3672 (-0.3675) time: 0.8612 data: 0.0002 max mem: 29859 [09:30:17.895109] Epoch: [380] [120/850] eta: 0:10:48 lr: 0.001397 loss: 0.0129 (0.0120) loss_rec_all: 0.0489 (0.0483) loss_rec_sfr: 0.0685 (0.0668) loss_cl: -0.3672 (-0.3675) time: 0.8631 data: 0.0002 max mem: 29859 [09:30:35.160306] Epoch: [380] [140/850] eta: 0:10:28 lr: 0.001397 loss: 0.0109 (0.0120) loss_rec_all: 0.0474 (0.0483) loss_rec_sfr: 0.0702 (0.0670) loss_cl: -0.3677 (-0.3675) time: 0.8632 data: 0.0002 max mem: 29859 [09:30:52.437954] Epoch: [380] [160/850] eta: 0:10:08 lr: 0.001397 loss: 0.0108 (0.0120) loss_rec_all: 0.0473 (0.0483) loss_rec_sfr: 0.0475 (0.0666) loss_cl: -0.3680 (-0.3675) time: 0.8638 data: 0.0001 max mem: 29859 [09:31:09.670181] Epoch: [380] [180/850] eta: 0:09:49 lr: 0.001397 loss: 0.0122 (0.0120) loss_rec_all: 0.0485 (0.0483) loss_rec_sfr: 0.0525 (0.0675) loss_cl: -0.3679 (-0.3676) time: 0.8616 data: 0.0002 max mem: 29859 [09:31:27.031106] Epoch: [380] [200/850] eta: 0:09:31 lr: 0.001396 loss: 0.0118 (0.0120) loss_rec_all: 0.0481 (0.0483) loss_rec_sfr: 0.0695 (0.0675) loss_cl: -0.3675 (-0.3676) time: 0.8680 data: 0.0003 max mem: 29859 [09:31:44.256545] Epoch: [380] [220/850] eta: 0:09:12 lr: 0.001396 loss: 0.0110 (0.0120) loss_rec_all: 0.0472 (0.0483) loss_rec_sfr: 0.0526 (0.0675) loss_cl: -0.3669 (-0.3675) time: 0.8612 data: 0.0002 max mem: 29859 [09:32:01.513135] Epoch: [380] [240/850] eta: 0:08:54 lr: 0.001396 loss: 0.0111 (0.0120) loss_rec_all: 0.0472 (0.0483) loss_rec_sfr: 0.0480 (0.0673) loss_cl: -0.3664 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [09:32:18.808512] Epoch: [380] [260/850] eta: 0:08:36 lr: 0.001396 loss: 0.0116 (0.0120) loss_rec_all: 0.0477 (0.0483) loss_rec_sfr: 0.0702 (0.0677) loss_cl: -0.3665 (-0.3673) time: 0.8647 data: 0.0003 max mem: 29859 [09:32:36.096126] Epoch: [380] [280/850] eta: 0:08:18 lr: 0.001396 loss: 0.0104 (0.0119) loss_rec_all: 0.0469 (0.0482) loss_rec_sfr: 0.0479 (0.0668) loss_cl: -0.3669 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [09:32:53.342330] Epoch: [380] [300/850] eta: 0:08:00 lr: 0.001396 loss: 0.0127 (0.0120) loss_rec_all: 0.0488 (0.0482) loss_rec_sfr: 0.0777 (0.0677) loss_cl: -0.3677 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [09:33:10.658846] Epoch: [380] [320/850] eta: 0:07:42 lr: 0.001396 loss: 0.0112 (0.0119) loss_rec_all: 0.0474 (0.0482) loss_rec_sfr: 0.0537 (0.0680) loss_cl: -0.3682 (-0.3674) time: 0.8657 data: 0.0002 max mem: 29859 [09:33:27.907332] Epoch: [380] [340/850] eta: 0:07:24 lr: 0.001396 loss: 0.0110 (0.0119) loss_rec_all: 0.0472 (0.0482) loss_rec_sfr: 0.0671 (0.0683) loss_cl: -0.3678 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [09:33:45.207313] Epoch: [380] [360/850] eta: 0:07:07 lr: 0.001395 loss: 0.0122 (0.0120) loss_rec_all: 0.0485 (0.0482) loss_rec_sfr: 0.0687 (0.0684) loss_cl: -0.3673 (-0.3674) time: 0.8649 data: 0.0002 max mem: 29859 [09:34:02.489311] Epoch: [380] [380/850] eta: 0:06:49 lr: 0.001395 loss: 0.0112 (0.0120) loss_rec_all: 0.0476 (0.0482) loss_rec_sfr: 0.0515 (0.0684) loss_cl: -0.3676 (-0.3674) time: 0.8640 data: 0.0003 max mem: 29859 [09:34:19.765745] Epoch: [380] [400/850] eta: 0:06:32 lr: 0.001395 loss: 0.0111 (0.0120) loss_rec_all: 0.0474 (0.0482) loss_rec_sfr: 0.0478 (0.0681) loss_cl: -0.3685 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [09:34:37.019883] Epoch: [380] [420/850] eta: 0:06:14 lr: 0.001395 loss: 0.0126 (0.0120) loss_rec_all: 0.0487 (0.0483) loss_rec_sfr: 0.0684 (0.0682) loss_cl: -0.3681 (-0.3675) time: 0.8627 data: 0.0002 max mem: 29859 [09:34:54.317512] Epoch: [380] [440/850] eta: 0:05:56 lr: 0.001395 loss: 0.0122 (0.0120) loss_rec_all: 0.0485 (0.0483) loss_rec_sfr: 0.0529 (0.0682) loss_cl: -0.3671 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [09:35:11.549501] Epoch: [380] [460/850] eta: 0:05:39 lr: 0.001395 loss: 0.0128 (0.0121) loss_rec_all: 0.0491 (0.0483) loss_rec_sfr: 0.0701 (0.0681) loss_cl: -0.3666 (-0.3674) time: 0.8616 data: 0.0002 max mem: 29859 [09:35:28.854901] Epoch: [380] [480/850] eta: 0:05:21 lr: 0.001395 loss: 0.0122 (0.0121) loss_rec_all: 0.0485 (0.0484) loss_rec_sfr: 0.0544 (0.0682) loss_cl: -0.3663 (-0.3674) time: 0.8652 data: 0.0002 max mem: 29859 [09:35:46.107713] Epoch: [380] [500/850] eta: 0:05:04 lr: 0.001395 loss: 0.0109 (0.0121) loss_rec_all: 0.0473 (0.0483) loss_rec_sfr: 0.0471 (0.0681) loss_cl: -0.3670 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [09:36:03.369224] Epoch: [380] [520/850] eta: 0:04:46 lr: 0.001395 loss: 0.0115 (0.0121) loss_rec_all: 0.0479 (0.0484) loss_rec_sfr: 0.0703 (0.0681) loss_cl: -0.3674 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [09:36:20.667114] Epoch: [380] [540/850] eta: 0:04:29 lr: 0.001394 loss: 0.0125 (0.0121) loss_rec_all: 0.0489 (0.0484) loss_rec_sfr: 0.0534 (0.0681) loss_cl: -0.3676 (-0.3674) time: 0.8648 data: 0.0003 max mem: 29859 [09:36:38.014237] Epoch: [380] [560/850] eta: 0:04:12 lr: 0.001394 loss: 0.0115 (0.0121) loss_rec_all: 0.0479 (0.0484) loss_rec_sfr: 0.0529 (0.0680) loss_cl: -0.3677 (-0.3674) time: 0.8673 data: 0.0003 max mem: 29859 [09:36:55.258176] Epoch: [380] [580/850] eta: 0:03:54 lr: 0.001394 loss: 0.0119 (0.0121) loss_rec_all: 0.0482 (0.0484) loss_rec_sfr: 0.0719 (0.0681) loss_cl: -0.3676 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [09:37:12.535427] Epoch: [380] [600/850] eta: 0:03:37 lr: 0.001394 loss: 0.0124 (0.0122) loss_rec_all: 0.0486 (0.0484) loss_rec_sfr: 0.0695 (0.0682) loss_cl: -0.3672 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [09:37:29.816650] Epoch: [380] [620/850] eta: 0:03:19 lr: 0.001394 loss: 0.0111 (0.0122) loss_rec_all: 0.0475 (0.0484) loss_rec_sfr: 0.0485 (0.0679) loss_cl: -0.3670 (-0.3674) time: 0.8639 data: 0.0003 max mem: 29859 [09:37:47.102405] Epoch: [380] [640/850] eta: 0:03:02 lr: 0.001394 loss: 0.0115 (0.0122) loss_rec_all: 0.0480 (0.0484) loss_rec_sfr: 0.0499 (0.0678) loss_cl: -0.3670 (-0.3674) time: 0.8642 data: 0.0002 max mem: 29859 [09:38:04.330440] Epoch: [380] [660/850] eta: 0:02:44 lr: 0.001394 loss: 0.0120 (0.0122) loss_rec_all: 0.0484 (0.0484) loss_rec_sfr: 0.0503 (0.0677) loss_cl: -0.3673 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [09:38:21.648106] Epoch: [380] [680/850] eta: 0:02:27 lr: 0.001394 loss: 0.0120 (0.0122) loss_rec_all: 0.0481 (0.0485) loss_rec_sfr: 0.0712 (0.0677) loss_cl: -0.3674 (-0.3673) time: 0.8658 data: 0.0002 max mem: 29859 [09:38:38.877654] Epoch: [380] [700/850] eta: 0:02:10 lr: 0.001394 loss: 0.0117 (0.0122) loss_rec_all: 0.0479 (0.0485) loss_rec_sfr: 0.0682 (0.0677) loss_cl: -0.3671 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [09:38:56.129083] Epoch: [380] [720/850] eta: 0:01:52 lr: 0.001393 loss: 0.0119 (0.0122) loss_rec_all: 0.0482 (0.0485) loss_rec_sfr: 0.0514 (0.0677) loss_cl: -0.3677 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [09:39:13.422021] Epoch: [380] [740/850] eta: 0:01:35 lr: 0.001393 loss: 0.0115 (0.0122) loss_rec_all: 0.0481 (0.0485) loss_rec_sfr: 0.0505 (0.0676) loss_cl: -0.3684 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [09:39:30.683481] Epoch: [380] [760/850] eta: 0:01:18 lr: 0.001393 loss: 0.0121 (0.0122) loss_rec_all: 0.0483 (0.0485) loss_rec_sfr: 0.0655 (0.0677) loss_cl: -0.3686 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [09:39:47.919425] Epoch: [380] [780/850] eta: 0:01:00 lr: 0.001393 loss: 0.0111 (0.0122) loss_rec_all: 0.0475 (0.0485) loss_rec_sfr: 0.0493 (0.0676) loss_cl: -0.3679 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [09:40:05.235234] Epoch: [380] [800/850] eta: 0:00:43 lr: 0.001393 loss: 0.0117 (0.0122) loss_rec_all: 0.0478 (0.0485) loss_rec_sfr: 0.0532 (0.0676) loss_cl: -0.3674 (-0.3674) time: 0.8657 data: 0.0002 max mem: 29859 [09:40:22.513435] Epoch: [380] [820/850] eta: 0:00:26 lr: 0.001393 loss: 0.0114 (0.0122) loss_rec_all: 0.0479 (0.0485) loss_rec_sfr: 0.0501 (0.0674) loss_cl: -0.3668 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [09:40:39.760635] Epoch: [380] [840/850] eta: 0:00:08 lr: 0.001393 loss: 0.0127 (0.0122) loss_rec_all: 0.0488 (0.0485) loss_rec_sfr: 0.0654 (0.0675) loss_cl: -0.3663 (-0.3674) time: 0.8623 data: 0.0003 max mem: 29859 [09:40:47.502518] Epoch: [380] [849/850] eta: 0:00:00 lr: 0.001393 loss: 0.0123 (0.0122) loss_rec_all: 0.0486 (0.0485) loss_rec_sfr: 0.0489 (0.0675) loss_cl: -0.3668 (-0.3674) time: 0.8619 data: 0.0003 max mem: 29859 [09:40:47.640130] Epoch: [380] Total time: 0:12:17 (0.8674 s / it) [09:40:47.642713] Averaged stats: lr: 0.001393 loss: 0.0123 (0.0121) loss_rec_all: 0.0486 (0.0484) loss_rec_sfr: 0.0489 (0.0667) loss_cl: -0.3668 (-0.3673) [09:40:47.654686] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [09:40:52.099597] Epoch: [381] [ 0/850] eta: 1:02:57 lr: 0.001393 loss: 0.0141 (0.0141) loss_rec_all: 0.0503 (0.0503) loss_rec_sfr: 0.0888 (0.0888) loss_cl: -0.3677 (-0.3677) time: 4.4441 data: 3.3100 max mem: 29859 [09:41:09.353785] Epoch: [381] [ 20/850] eta: 0:14:17 lr: 0.001393 loss: 0.0110 (0.0116) loss_rec_all: 0.0475 (0.0479) loss_rec_sfr: 0.0503 (0.0661) loss_cl: -0.3675 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [09:41:26.594869] Epoch: [381] [ 40/850] eta: 0:12:49 lr: 0.001392 loss: 0.0107 (0.0115) loss_rec_all: 0.0469 (0.0477) loss_rec_sfr: 0.0478 (0.0637) loss_cl: -0.3675 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [09:41:43.808571] Epoch: [381] [ 60/850] eta: 0:12:07 lr: 0.001392 loss: 0.0109 (0.0113) loss_rec_all: 0.0473 (0.0476) loss_rec_sfr: 0.0484 (0.0625) loss_cl: -0.3673 (-0.3673) time: 0.8606 data: 0.0002 max mem: 29859 [09:42:01.131845] Epoch: [381] [ 80/850] eta: 0:11:38 lr: 0.001392 loss: 0.0119 (0.0115) loss_rec_all: 0.0482 (0.0478) loss_rec_sfr: 0.0668 (0.0642) loss_cl: -0.3669 (-0.3672) time: 0.8661 data: 0.0002 max mem: 29859 [09:42:18.350264] Epoch: [381] [100/850] eta: 0:11:13 lr: 0.001392 loss: 0.0119 (0.0117) loss_rec_all: 0.0483 (0.0480) loss_rec_sfr: 0.0526 (0.0641) loss_cl: -0.3671 (-0.3671) time: 0.8609 data: 0.0002 max mem: 29859 [09:42:35.627575] Epoch: [381] [120/850] eta: 0:10:51 lr: 0.001392 loss: 0.0116 (0.0118) loss_rec_all: 0.0480 (0.0481) loss_rec_sfr: 0.0712 (0.0653) loss_cl: -0.3677 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [09:42:52.907491] Epoch: [381] [140/850] eta: 0:10:30 lr: 0.001392 loss: 0.0100 (0.0116) loss_rec_all: 0.0464 (0.0479) loss_rec_sfr: 0.0519 (0.0653) loss_cl: -0.3678 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [09:43:10.164065] Epoch: [381] [160/850] eta: 0:10:10 lr: 0.001392 loss: 0.0111 (0.0116) loss_rec_all: 0.0474 (0.0479) loss_rec_sfr: 0.0497 (0.0648) loss_cl: -0.3678 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [09:43:27.426885] Epoch: [381] [180/850] eta: 0:09:51 lr: 0.001392 loss: 0.0108 (0.0116) loss_rec_all: 0.0472 (0.0479) loss_rec_sfr: 0.0496 (0.0648) loss_cl: -0.3678 (-0.3674) time: 0.8630 data: 0.0003 max mem: 29859 [09:43:44.719636] Epoch: [381] [200/850] eta: 0:09:32 lr: 0.001391 loss: 0.0122 (0.0117) loss_rec_all: 0.0481 (0.0480) loss_rec_sfr: 0.0796 (0.0664) loss_cl: -0.3673 (-0.3674) time: 0.8646 data: 0.0002 max mem: 29859 [09:44:01.959721] Epoch: [381] [220/850] eta: 0:09:13 lr: 0.001391 loss: 0.0107 (0.0117) loss_rec_all: 0.0471 (0.0480) loss_rec_sfr: 0.0482 (0.0665) loss_cl: -0.3672 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [09:44:19.258925] Epoch: [381] [240/850] eta: 0:08:55 lr: 0.001391 loss: 0.0119 (0.0118) loss_rec_all: 0.0482 (0.0481) loss_rec_sfr: 0.0678 (0.0668) loss_cl: -0.3673 (-0.3674) time: 0.8649 data: 0.0002 max mem: 29859 [09:44:36.537743] Epoch: [381] [260/850] eta: 0:08:37 lr: 0.001391 loss: 0.0120 (0.0119) loss_rec_all: 0.0483 (0.0481) loss_rec_sfr: 0.0683 (0.0669) loss_cl: -0.3672 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [09:44:53.802026] Epoch: [381] [280/850] eta: 0:08:19 lr: 0.001391 loss: 0.0120 (0.0119) loss_rec_all: 0.0479 (0.0481) loss_rec_sfr: 0.0700 (0.0673) loss_cl: -0.3672 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [09:45:11.063712] Epoch: [381] [300/850] eta: 0:08:01 lr: 0.001391 loss: 0.0112 (0.0118) loss_rec_all: 0.0474 (0.0481) loss_rec_sfr: 0.0505 (0.0670) loss_cl: -0.3674 (-0.3673) time: 0.8630 data: 0.0003 max mem: 29859 [09:45:28.350547] Epoch: [381] [320/850] eta: 0:07:43 lr: 0.001391 loss: 0.0103 (0.0118) loss_rec_all: 0.0467 (0.0481) loss_rec_sfr: 0.0475 (0.0668) loss_cl: -0.3673 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [09:45:45.567268] Epoch: [381] [340/850] eta: 0:07:25 lr: 0.001391 loss: 0.0110 (0.0118) loss_rec_all: 0.0474 (0.0481) loss_rec_sfr: 0.0677 (0.0669) loss_cl: -0.3673 (-0.3673) time: 0.8608 data: 0.0002 max mem: 29859 [09:46:02.903366] Epoch: [381] [360/850] eta: 0:07:07 lr: 0.001391 loss: 0.0106 (0.0118) loss_rec_all: 0.0471 (0.0481) loss_rec_sfr: 0.0499 (0.0666) loss_cl: -0.3679 (-0.3674) time: 0.8667 data: 0.0002 max mem: 29859 [09:46:20.135030] Epoch: [381] [380/850] eta: 0:06:50 lr: 0.001390 loss: 0.0109 (0.0118) loss_rec_all: 0.0473 (0.0480) loss_rec_sfr: 0.0482 (0.0666) loss_cl: -0.3680 (-0.3674) time: 0.8615 data: 0.0003 max mem: 29859 [09:46:37.409332] Epoch: [381] [400/850] eta: 0:06:32 lr: 0.001390 loss: 0.0108 (0.0117) loss_rec_all: 0.0471 (0.0480) loss_rec_sfr: 0.0463 (0.0663) loss_cl: -0.3679 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [09:46:54.667844] Epoch: [381] [420/850] eta: 0:06:14 lr: 0.001390 loss: 0.0117 (0.0118) loss_rec_all: 0.0482 (0.0481) loss_rec_sfr: 0.0530 (0.0663) loss_cl: -0.3677 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [09:47:11.934861] Epoch: [381] [440/850] eta: 0:05:57 lr: 0.001390 loss: 0.0113 (0.0118) loss_rec_all: 0.0474 (0.0481) loss_rec_sfr: 0.0533 (0.0661) loss_cl: -0.3671 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [09:47:29.154698] Epoch: [381] [460/850] eta: 0:05:39 lr: 0.001390 loss: 0.0108 (0.0118) loss_rec_all: 0.0472 (0.0481) loss_rec_sfr: 0.0489 (0.0661) loss_cl: -0.3670 (-0.3674) time: 0.8609 data: 0.0002 max mem: 29859 [09:47:46.444752] Epoch: [381] [480/850] eta: 0:05:22 lr: 0.001390 loss: 0.0111 (0.0118) loss_rec_all: 0.0474 (0.0480) loss_rec_sfr: 0.0494 (0.0658) loss_cl: -0.3666 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [09:48:03.677291] Epoch: [381] [500/850] eta: 0:05:04 lr: 0.001390 loss: 0.0127 (0.0118) loss_rec_all: 0.0487 (0.0481) loss_rec_sfr: 0.0591 (0.0659) loss_cl: -0.3670 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [09:48:20.930883] Epoch: [381] [520/850] eta: 0:04:47 lr: 0.001390 loss: 0.0133 (0.0119) loss_rec_all: 0.0495 (0.0481) loss_rec_sfr: 0.0855 (0.0665) loss_cl: -0.3666 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [09:48:38.218139] Epoch: [381] [540/850] eta: 0:04:29 lr: 0.001390 loss: 0.0134 (0.0120) loss_rec_all: 0.0497 (0.0482) loss_rec_sfr: 0.0530 (0.0666) loss_cl: -0.3668 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [09:48:55.561650] Epoch: [381] [560/850] eta: 0:04:12 lr: 0.001389 loss: 0.0127 (0.0120) loss_rec_all: 0.0488 (0.0483) loss_rec_sfr: 0.0715 (0.0668) loss_cl: -0.3671 (-0.3673) time: 0.8671 data: 0.0002 max mem: 29859 [09:49:12.785805] Epoch: [381] [580/850] eta: 0:03:54 lr: 0.001389 loss: 0.0120 (0.0121) loss_rec_all: 0.0482 (0.0483) loss_rec_sfr: 0.0539 (0.0668) loss_cl: -0.3676 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [09:49:30.106880] Epoch: [381] [600/850] eta: 0:03:37 lr: 0.001389 loss: 0.0140 (0.0121) loss_rec_all: 0.0501 (0.0484) loss_rec_sfr: 0.0721 (0.0670) loss_cl: -0.3679 (-0.3673) time: 0.8660 data: 0.0003 max mem: 29859 [09:49:47.337137] Epoch: [381] [620/850] eta: 0:03:19 lr: 0.001389 loss: 0.0119 (0.0121) loss_rec_all: 0.0482 (0.0484) loss_rec_sfr: 0.0528 (0.0670) loss_cl: -0.3679 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [09:50:04.594330] Epoch: [381] [640/850] eta: 0:03:02 lr: 0.001389 loss: 0.0121 (0.0121) loss_rec_all: 0.0485 (0.0484) loss_rec_sfr: 0.0544 (0.0670) loss_cl: -0.3677 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [09:50:21.849009] Epoch: [381] [660/850] eta: 0:02:45 lr: 0.001389 loss: 0.0125 (0.0121) loss_rec_all: 0.0486 (0.0484) loss_rec_sfr: 0.0706 (0.0672) loss_cl: -0.3675 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [09:50:39.101374] Epoch: [381] [680/850] eta: 0:02:27 lr: 0.001389 loss: 0.0108 (0.0121) loss_rec_all: 0.0473 (0.0484) loss_rec_sfr: 0.0469 (0.0671) loss_cl: -0.3675 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [09:50:56.325869] Epoch: [381] [700/850] eta: 0:02:10 lr: 0.001389 loss: 0.0113 (0.0121) loss_rec_all: 0.0478 (0.0484) loss_rec_sfr: 0.0478 (0.0670) loss_cl: -0.3675 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [09:51:13.641568] Epoch: [381] [720/850] eta: 0:01:52 lr: 0.001388 loss: 0.0104 (0.0121) loss_rec_all: 0.0469 (0.0483) loss_rec_sfr: 0.0468 (0.0667) loss_cl: -0.3680 (-0.3674) time: 0.8657 data: 0.0002 max mem: 29859 [09:51:30.865860] Epoch: [381] [740/850] eta: 0:01:35 lr: 0.001388 loss: 0.0100 (0.0120) loss_rec_all: 0.0464 (0.0483) loss_rec_sfr: 0.0493 (0.0667) loss_cl: -0.3678 (-0.3674) time: 0.8612 data: 0.0002 max mem: 29859 [09:51:48.134911] Epoch: [381] [760/850] eta: 0:01:18 lr: 0.001388 loss: 0.0113 (0.0120) loss_rec_all: 0.0475 (0.0483) loss_rec_sfr: 0.0704 (0.0667) loss_cl: -0.3675 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [09:52:05.420541] Epoch: [381] [780/850] eta: 0:01:00 lr: 0.001388 loss: 0.0122 (0.0120) loss_rec_all: 0.0484 (0.0483) loss_rec_sfr: 0.0686 (0.0667) loss_cl: -0.3668 (-0.3674) time: 0.8642 data: 0.0004 max mem: 29859 [09:52:22.680110] Epoch: [381] [800/850] eta: 0:00:43 lr: 0.001388 loss: 0.0107 (0.0120) loss_rec_all: 0.0470 (0.0483) loss_rec_sfr: 0.0494 (0.0665) loss_cl: -0.3667 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [09:52:39.904752] Epoch: [381] [820/850] eta: 0:00:26 lr: 0.001388 loss: 0.0114 (0.0120) loss_rec_all: 0.0478 (0.0483) loss_rec_sfr: 0.0504 (0.0664) loss_cl: -0.3665 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [09:52:57.238501] Epoch: [381] [840/850] eta: 0:00:08 lr: 0.001388 loss: 0.0113 (0.0120) loss_rec_all: 0.0477 (0.0483) loss_rec_sfr: 0.0508 (0.0664) loss_cl: -0.3675 (-0.3673) time: 0.8666 data: 0.0006 max mem: 29859 [09:53:04.991714] Epoch: [381] [849/850] eta: 0:00:00 lr: 0.001388 loss: 0.0114 (0.0120) loss_rec_all: 0.0478 (0.0483) loss_rec_sfr: 0.0571 (0.0665) loss_cl: -0.3675 (-0.3673) time: 0.8655 data: 0.0006 max mem: 29859 [09:53:05.127675] Epoch: [381] Total time: 0:12:17 (0.8676 s / it) [09:53:05.131750] Averaged stats: lr: 0.001388 loss: 0.0114 (0.0121) loss_rec_all: 0.0478 (0.0483) loss_rec_sfr: 0.0571 (0.0668) loss_cl: -0.3675 (-0.3673) [09:53:05.143925] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [09:53:09.194568] Epoch: [382] [ 0/850] eta: 0:57:22 lr: 0.001388 loss: 0.0094 (0.0094) loss_rec_all: 0.0460 (0.0460) loss_rec_sfr: 0.0467 (0.0467) loss_cl: -0.3692 (-0.3692) time: 4.0499 data: 2.8958 max mem: 29859 [09:53:26.390465] Epoch: [382] [ 20/850] eta: 0:13:59 lr: 0.001388 loss: 0.0118 (0.0126) loss_rec_all: 0.0483 (0.0489) loss_rec_sfr: 0.0550 (0.0679) loss_cl: -0.3681 (-0.3681) time: 0.8597 data: 0.0002 max mem: 29859 [09:53:43.701393] Epoch: [382] [ 40/850] eta: 0:12:41 lr: 0.001387 loss: 0.0126 (0.0126) loss_rec_all: 0.0489 (0.0489) loss_rec_sfr: 0.0732 (0.0724) loss_cl: -0.3678 (-0.3680) time: 0.8655 data: 0.0002 max mem: 29859 [09:54:00.911717] Epoch: [382] [ 60/850] eta: 0:12:02 lr: 0.001387 loss: 0.0123 (0.0125) loss_rec_all: 0.0484 (0.0488) loss_rec_sfr: 0.0677 (0.0721) loss_cl: -0.3672 (-0.3677) time: 0.8605 data: 0.0002 max mem: 29859 [09:54:18.169446] Epoch: [382] [ 80/850] eta: 0:11:34 lr: 0.001387 loss: 0.0114 (0.0124) loss_rec_all: 0.0477 (0.0487) loss_rec_sfr: 0.0562 (0.0711) loss_cl: -0.3671 (-0.3676) time: 0.8628 data: 0.0002 max mem: 29859 [09:54:35.470201] Epoch: [382] [100/850] eta: 0:11:10 lr: 0.001387 loss: 0.0119 (0.0123) loss_rec_all: 0.0484 (0.0486) loss_rec_sfr: 0.0524 (0.0697) loss_cl: -0.3675 (-0.3676) time: 0.8650 data: 0.0003 max mem: 29859 [09:54:52.736600] Epoch: [382] [120/850] eta: 0:10:49 lr: 0.001387 loss: 0.0116 (0.0122) loss_rec_all: 0.0478 (0.0485) loss_rec_sfr: 0.0533 (0.0691) loss_cl: -0.3675 (-0.3676) time: 0.8633 data: 0.0002 max mem: 29859 [09:55:09.970853] Epoch: [382] [140/850] eta: 0:10:28 lr: 0.001387 loss: 0.0114 (0.0122) loss_rec_all: 0.0476 (0.0485) loss_rec_sfr: 0.0727 (0.0696) loss_cl: -0.3673 (-0.3675) time: 0.8617 data: 0.0002 max mem: 29859 [09:55:27.309518] Epoch: [382] [160/850] eta: 0:10:09 lr: 0.001387 loss: 0.0124 (0.0122) loss_rec_all: 0.0485 (0.0485) loss_rec_sfr: 0.0720 (0.0701) loss_cl: -0.3669 (-0.3674) time: 0.8669 data: 0.0003 max mem: 29859 [09:55:44.532161] Epoch: [382] [180/850] eta: 0:09:49 lr: 0.001387 loss: 0.0109 (0.0121) loss_rec_all: 0.0472 (0.0484) loss_rec_sfr: 0.0511 (0.0688) loss_cl: -0.3666 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [09:56:01.809674] Epoch: [382] [200/850] eta: 0:09:31 lr: 0.001387 loss: 0.0108 (0.0121) loss_rec_all: 0.0472 (0.0483) loss_rec_sfr: 0.0485 (0.0678) loss_cl: -0.3671 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [09:56:19.068298] Epoch: [382] [220/850] eta: 0:09:12 lr: 0.001386 loss: 0.0128 (0.0121) loss_rec_all: 0.0490 (0.0484) loss_rec_sfr: 0.0687 (0.0680) loss_cl: -0.3676 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [09:56:36.336246] Epoch: [382] [240/850] eta: 0:08:54 lr: 0.001386 loss: 0.0107 (0.0120) loss_rec_all: 0.0471 (0.0483) loss_rec_sfr: 0.0501 (0.0675) loss_cl: -0.3681 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [09:56:53.585381] Epoch: [382] [260/850] eta: 0:08:36 lr: 0.001386 loss: 0.0102 (0.0119) loss_rec_all: 0.0467 (0.0482) loss_rec_sfr: 0.0470 (0.0672) loss_cl: -0.3685 (-0.3675) time: 0.8624 data: 0.0002 max mem: 29859 [09:57:10.890621] Epoch: [382] [280/850] eta: 0:08:18 lr: 0.001386 loss: 0.0114 (0.0119) loss_rec_all: 0.0477 (0.0482) loss_rec_sfr: 0.0704 (0.0675) loss_cl: -0.3685 (-0.3676) time: 0.8652 data: 0.0002 max mem: 29859 [09:57:28.114971] Epoch: [382] [300/850] eta: 0:08:00 lr: 0.001386 loss: 0.0107 (0.0119) loss_rec_all: 0.0472 (0.0482) loss_rec_sfr: 0.0486 (0.0673) loss_cl: -0.3685 (-0.3676) time: 0.8612 data: 0.0002 max mem: 29859 [09:57:45.419369] Epoch: [382] [320/850] eta: 0:07:42 lr: 0.001386 loss: 0.0108 (0.0118) loss_rec_all: 0.0472 (0.0481) loss_rec_sfr: 0.0484 (0.0669) loss_cl: -0.3678 (-0.3676) time: 0.8651 data: 0.0002 max mem: 29859 [09:58:02.695489] Epoch: [382] [340/850] eta: 0:07:24 lr: 0.001386 loss: 0.0105 (0.0118) loss_rec_all: 0.0469 (0.0481) loss_rec_sfr: 0.0466 (0.0668) loss_cl: -0.3676 (-0.3676) time: 0.8638 data: 0.0003 max mem: 29859 [09:58:19.958164] Epoch: [382] [360/850] eta: 0:07:07 lr: 0.001386 loss: 0.0131 (0.0119) loss_rec_all: 0.0495 (0.0482) loss_rec_sfr: 0.0713 (0.0676) loss_cl: -0.3673 (-0.3676) time: 0.8631 data: 0.0002 max mem: 29859 [09:58:37.198665] Epoch: [382] [380/850] eta: 0:06:49 lr: 0.001386 loss: 0.0125 (0.0119) loss_rec_all: 0.0484 (0.0482) loss_rec_sfr: 0.0531 (0.0675) loss_cl: -0.3670 (-0.3675) time: 0.8620 data: 0.0002 max mem: 29859 [09:58:54.486593] Epoch: [382] [400/850] eta: 0:06:32 lr: 0.001385 loss: 0.0121 (0.0120) loss_rec_all: 0.0484 (0.0483) loss_rec_sfr: 0.0550 (0.0676) loss_cl: -0.3669 (-0.3675) time: 0.8643 data: 0.0002 max mem: 29859 [09:59:11.695372] Epoch: [382] [420/850] eta: 0:06:14 lr: 0.001385 loss: 0.0130 (0.0121) loss_rec_all: 0.0493 (0.0483) loss_rec_sfr: 0.0581 (0.0678) loss_cl: -0.3669 (-0.3675) time: 0.8604 data: 0.0002 max mem: 29859 [09:59:29.000911] Epoch: [382] [440/850] eta: 0:05:56 lr: 0.001385 loss: 0.0135 (0.0121) loss_rec_all: 0.0498 (0.0484) loss_rec_sfr: 0.0843 (0.0685) loss_cl: -0.3669 (-0.3675) time: 0.8652 data: 0.0002 max mem: 29859 [09:59:46.237798] Epoch: [382] [460/850] eta: 0:05:39 lr: 0.001385 loss: 0.0113 (0.0121) loss_rec_all: 0.0476 (0.0484) loss_rec_sfr: 0.0529 (0.0687) loss_cl: -0.3672 (-0.3675) time: 0.8618 data: 0.0002 max mem: 29859 [10:00:03.515282] Epoch: [382] [480/850] eta: 0:05:21 lr: 0.001385 loss: 0.0121 (0.0121) loss_rec_all: 0.0482 (0.0484) loss_rec_sfr: 0.0689 (0.0686) loss_cl: -0.3670 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [10:00:20.797975] Epoch: [382] [500/850] eta: 0:05:04 lr: 0.001385 loss: 0.0112 (0.0121) loss_rec_all: 0.0476 (0.0484) loss_rec_sfr: 0.0531 (0.0686) loss_cl: -0.3674 (-0.3674) time: 0.8641 data: 0.0003 max mem: 29859 [10:00:38.061189] Epoch: [382] [520/850] eta: 0:04:46 lr: 0.001385 loss: 0.0123 (0.0121) loss_rec_all: 0.0484 (0.0484) loss_rec_sfr: 0.0674 (0.0686) loss_cl: -0.3674 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [10:00:55.280550] Epoch: [382] [540/850] eta: 0:04:29 lr: 0.001385 loss: 0.0117 (0.0121) loss_rec_all: 0.0481 (0.0484) loss_rec_sfr: 0.0493 (0.0683) loss_cl: -0.3675 (-0.3674) time: 0.8609 data: 0.0002 max mem: 29859 [10:01:12.592400] Epoch: [382] [560/850] eta: 0:04:11 lr: 0.001384 loss: 0.0116 (0.0121) loss_rec_all: 0.0479 (0.0484) loss_rec_sfr: 0.0680 (0.0685) loss_cl: -0.3677 (-0.3674) time: 0.8655 data: 0.0002 max mem: 29859 [10:01:29.819672] Epoch: [382] [580/850] eta: 0:03:54 lr: 0.001384 loss: 0.0114 (0.0121) loss_rec_all: 0.0478 (0.0484) loss_rec_sfr: 0.0495 (0.0681) loss_cl: -0.3680 (-0.3674) time: 0.8613 data: 0.0002 max mem: 29859 [10:01:47.106447] Epoch: [382] [600/850] eta: 0:03:37 lr: 0.001384 loss: 0.0111 (0.0121) loss_rec_all: 0.0472 (0.0484) loss_rec_sfr: 0.0520 (0.0680) loss_cl: -0.3675 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [10:02:04.368549] Epoch: [382] [620/850] eta: 0:03:19 lr: 0.001384 loss: 0.0115 (0.0121) loss_rec_all: 0.0477 (0.0484) loss_rec_sfr: 0.0693 (0.0680) loss_cl: -0.3668 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [10:02:21.631024] Epoch: [382] [640/850] eta: 0:03:02 lr: 0.001384 loss: 0.0114 (0.0121) loss_rec_all: 0.0475 (0.0484) loss_rec_sfr: 0.0670 (0.0682) loss_cl: -0.3666 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [10:02:38.870936] Epoch: [382] [660/850] eta: 0:02:44 lr: 0.001384 loss: 0.0133 (0.0121) loss_rec_all: 0.0493 (0.0484) loss_rec_sfr: 0.0697 (0.0683) loss_cl: -0.3666 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [10:02:56.182887] Epoch: [382] [680/850] eta: 0:02:27 lr: 0.001384 loss: 0.0118 (0.0122) loss_rec_all: 0.0482 (0.0484) loss_rec_sfr: 0.0514 (0.0684) loss_cl: -0.3667 (-0.3673) time: 0.8655 data: 0.0002 max mem: 29859 [10:03:13.413655] Epoch: [382] [700/850] eta: 0:02:10 lr: 0.001384 loss: 0.0122 (0.0122) loss_rec_all: 0.0483 (0.0484) loss_rec_sfr: 0.0518 (0.0684) loss_cl: -0.3673 (-0.3673) time: 0.8615 data: 0.0002 max mem: 29859 [10:03:30.690108] Epoch: [382] [720/850] eta: 0:01:52 lr: 0.001384 loss: 0.0117 (0.0122) loss_rec_all: 0.0479 (0.0484) loss_rec_sfr: 0.0796 (0.0687) loss_cl: -0.3688 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [10:03:47.969786] Epoch: [382] [740/850] eta: 0:01:35 lr: 0.001383 loss: 0.0113 (0.0122) loss_rec_all: 0.0474 (0.0484) loss_rec_sfr: 0.0573 (0.0688) loss_cl: -0.3686 (-0.3674) time: 0.8639 data: 0.0003 max mem: 29859 [10:04:05.233291] Epoch: [382] [760/850] eta: 0:01:18 lr: 0.001383 loss: 0.0107 (0.0121) loss_rec_all: 0.0472 (0.0484) loss_rec_sfr: 0.0508 (0.0685) loss_cl: -0.3677 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [10:04:22.479232] Epoch: [382] [780/850] eta: 0:01:00 lr: 0.001383 loss: 0.0124 (0.0122) loss_rec_all: 0.0487 (0.0484) loss_rec_sfr: 0.0548 (0.0686) loss_cl: -0.3669 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [10:04:39.779572] Epoch: [382] [800/850] eta: 0:00:43 lr: 0.001383 loss: 0.0128 (0.0122) loss_rec_all: 0.0491 (0.0485) loss_rec_sfr: 0.0540 (0.0685) loss_cl: -0.3666 (-0.3674) time: 0.8650 data: 0.0002 max mem: 29859 [10:04:56.998677] Epoch: [382] [820/850] eta: 0:00:26 lr: 0.001383 loss: 0.0109 (0.0122) loss_rec_all: 0.0472 (0.0485) loss_rec_sfr: 0.0532 (0.0684) loss_cl: -0.3666 (-0.3674) time: 0.8609 data: 0.0002 max mem: 29859 [10:05:14.292347] Epoch: [382] [840/850] eta: 0:00:08 lr: 0.001383 loss: 0.0124 (0.0122) loss_rec_all: 0.0487 (0.0485) loss_rec_sfr: 0.0685 (0.0685) loss_cl: -0.3671 (-0.3674) time: 0.8646 data: 0.0006 max mem: 29859 [10:05:22.097385] Epoch: [382] [849/850] eta: 0:00:00 lr: 0.001383 loss: 0.0124 (0.0122) loss_rec_all: 0.0487 (0.0485) loss_rec_sfr: 0.0518 (0.0684) loss_cl: -0.3674 (-0.3674) time: 0.8669 data: 0.0005 max mem: 29859 [10:05:22.245161] Epoch: [382] Total time: 0:12:17 (0.8672 s / it) [10:05:22.249524] Averaged stats: lr: 0.001383 loss: 0.0124 (0.0123) loss_rec_all: 0.0487 (0.0485) loss_rec_sfr: 0.0518 (0.0687) loss_cl: -0.3674 (-0.3674) [10:05:22.266601] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [10:05:26.867027] Epoch: [383] [ 0/850] eta: 1:05:09 lr: 0.001383 loss: 0.0126 (0.0126) loss_rec_all: 0.0487 (0.0487) loss_rec_sfr: 0.1080 (0.1080) loss_cl: -0.3689 (-0.3689) time: 4.5995 data: 3.7464 max mem: 29859 [10:05:44.052986] Epoch: [383] [ 20/850] eta: 0:14:21 lr: 0.001383 loss: 0.0115 (0.0119) loss_rec_all: 0.0479 (0.0482) loss_rec_sfr: 0.0571 (0.0673) loss_cl: -0.3681 (-0.3680) time: 0.8593 data: 0.0002 max mem: 29859 [10:06:01.313454] Epoch: [383] [ 40/850] eta: 0:12:51 lr: 0.001383 loss: 0.0117 (0.0124) loss_rec_all: 0.0481 (0.0487) loss_rec_sfr: 0.0546 (0.0663) loss_cl: -0.3677 (-0.3679) time: 0.8630 data: 0.0002 max mem: 29859 [10:06:18.620885] Epoch: [383] [ 60/850] eta: 0:12:09 lr: 0.001382 loss: 0.0118 (0.0122) loss_rec_all: 0.0481 (0.0485) loss_rec_sfr: 0.0766 (0.0697) loss_cl: -0.3678 (-0.3678) time: 0.8653 data: 0.0003 max mem: 29859 [10:06:35.886602] Epoch: [383] [ 80/850] eta: 0:11:39 lr: 0.001382 loss: 0.0116 (0.0122) loss_rec_all: 0.0480 (0.0485) loss_rec_sfr: 0.0656 (0.0690) loss_cl: -0.3676 (-0.3678) time: 0.8632 data: 0.0002 max mem: 29859 [10:06:53.122891] Epoch: [383] [100/850] eta: 0:11:14 lr: 0.001382 loss: 0.0126 (0.0123) loss_rec_all: 0.0486 (0.0486) loss_rec_sfr: 0.0666 (0.0692) loss_cl: -0.3673 (-0.3677) time: 0.8617 data: 0.0002 max mem: 29859 [10:07:10.426980] Epoch: [383] [120/850] eta: 0:10:52 lr: 0.001382 loss: 0.0117 (0.0122) loss_rec_all: 0.0480 (0.0485) loss_rec_sfr: 0.0520 (0.0682) loss_cl: -0.3675 (-0.3676) time: 0.8652 data: 0.0002 max mem: 29859 [10:07:27.653551] Epoch: [383] [140/850] eta: 0:10:31 lr: 0.001382 loss: 0.0104 (0.0120) loss_rec_all: 0.0468 (0.0483) loss_rec_sfr: 0.0482 (0.0671) loss_cl: -0.3676 (-0.3676) time: 0.8613 data: 0.0002 max mem: 29859 [10:07:44.936977] Epoch: [383] [160/850] eta: 0:10:11 lr: 0.001382 loss: 0.0116 (0.0119) loss_rec_all: 0.0479 (0.0482) loss_rec_sfr: 0.0646 (0.0669) loss_cl: -0.3673 (-0.3676) time: 0.8641 data: 0.0002 max mem: 29859 [10:08:02.216098] Epoch: [383] [180/850] eta: 0:09:52 lr: 0.001382 loss: 0.0112 (0.0118) loss_rec_all: 0.0476 (0.0481) loss_rec_sfr: 0.0517 (0.0667) loss_cl: -0.3675 (-0.3676) time: 0.8639 data: 0.0003 max mem: 29859 [10:08:19.483914] Epoch: [383] [200/850] eta: 0:09:33 lr: 0.001382 loss: 0.0113 (0.0118) loss_rec_all: 0.0477 (0.0481) loss_rec_sfr: 0.0564 (0.0667) loss_cl: -0.3679 (-0.3676) time: 0.8633 data: 0.0002 max mem: 29859 [10:08:36.712246] Epoch: [383] [220/850] eta: 0:09:14 lr: 0.001382 loss: 0.0131 (0.0119) loss_rec_all: 0.0494 (0.0481) loss_rec_sfr: 0.0655 (0.0672) loss_cl: -0.3677 (-0.3676) time: 0.8614 data: 0.0002 max mem: 29859 [10:08:54.021379] Epoch: [383] [240/850] eta: 0:08:55 lr: 0.001381 loss: 0.0122 (0.0119) loss_rec_all: 0.0487 (0.0482) loss_rec_sfr: 0.0555 (0.0668) loss_cl: -0.3677 (-0.3676) time: 0.8654 data: 0.0002 max mem: 29859 [10:09:11.244146] Epoch: [383] [260/850] eta: 0:08:37 lr: 0.001381 loss: 0.0127 (0.0120) loss_rec_all: 0.0490 (0.0483) loss_rec_sfr: 0.0776 (0.0679) loss_cl: -0.3676 (-0.3676) time: 0.8611 data: 0.0002 max mem: 29859 [10:09:28.519957] Epoch: [383] [280/850] eta: 0:08:19 lr: 0.001381 loss: 0.0126 (0.0121) loss_rec_all: 0.0487 (0.0483) loss_rec_sfr: 0.0721 (0.0684) loss_cl: -0.3669 (-0.3675) time: 0.8637 data: 0.0002 max mem: 29859 [10:09:45.795159] Epoch: [383] [300/850] eta: 0:08:01 lr: 0.001381 loss: 0.0112 (0.0120) loss_rec_all: 0.0474 (0.0483) loss_rec_sfr: 0.0474 (0.0674) loss_cl: -0.3667 (-0.3675) time: 0.8637 data: 0.0002 max mem: 29859 [10:10:03.072833] Epoch: [383] [320/850] eta: 0:07:43 lr: 0.001381 loss: 0.0133 (0.0121) loss_rec_all: 0.0493 (0.0483) loss_rec_sfr: 0.0663 (0.0678) loss_cl: -0.3671 (-0.3675) time: 0.8638 data: 0.0002 max mem: 29859 [10:10:20.303330] Epoch: [383] [340/850] eta: 0:07:25 lr: 0.001381 loss: 0.0125 (0.0121) loss_rec_all: 0.0487 (0.0484) loss_rec_sfr: 0.0668 (0.0681) loss_cl: -0.3673 (-0.3674) time: 0.8615 data: 0.0002 max mem: 29859 [10:10:37.631589] Epoch: [383] [360/850] eta: 0:07:08 lr: 0.001381 loss: 0.0124 (0.0121) loss_rec_all: 0.0487 (0.0484) loss_rec_sfr: 0.0683 (0.0685) loss_cl: -0.3676 (-0.3674) time: 0.8664 data: 0.0002 max mem: 29859 [10:10:54.858687] Epoch: [383] [380/850] eta: 0:06:50 lr: 0.001381 loss: 0.0112 (0.0121) loss_rec_all: 0.0477 (0.0484) loss_rec_sfr: 0.0536 (0.0684) loss_cl: -0.3676 (-0.3675) time: 0.8613 data: 0.0002 max mem: 29859 [10:11:12.150683] Epoch: [383] [400/850] eta: 0:06:32 lr: 0.001381 loss: 0.0115 (0.0121) loss_rec_all: 0.0477 (0.0484) loss_rec_sfr: 0.0564 (0.0685) loss_cl: -0.3678 (-0.3675) time: 0.8645 data: 0.0002 max mem: 29859 [10:11:29.426942] Epoch: [383] [420/850] eta: 0:06:14 lr: 0.001380 loss: 0.0106 (0.0121) loss_rec_all: 0.0469 (0.0483) loss_rec_sfr: 0.0475 (0.0681) loss_cl: -0.3676 (-0.3675) time: 0.8638 data: 0.0002 max mem: 29859 [10:11:46.687398] Epoch: [383] [440/850] eta: 0:05:57 lr: 0.001380 loss: 0.0113 (0.0120) loss_rec_all: 0.0474 (0.0483) loss_rec_sfr: 0.0690 (0.0684) loss_cl: -0.3670 (-0.3675) time: 0.8630 data: 0.0002 max mem: 29859 [10:12:03.929688] Epoch: [383] [460/850] eta: 0:05:39 lr: 0.001380 loss: 0.0108 (0.0120) loss_rec_all: 0.0473 (0.0483) loss_rec_sfr: 0.0488 (0.0681) loss_cl: -0.3671 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [10:12:21.227178] Epoch: [383] [480/850] eta: 0:05:22 lr: 0.001380 loss: 0.0101 (0.0120) loss_rec_all: 0.0465 (0.0482) loss_rec_sfr: 0.0509 (0.0679) loss_cl: -0.3671 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [10:12:38.456428] Epoch: [383] [500/850] eta: 0:05:04 lr: 0.001380 loss: 0.0108 (0.0119) loss_rec_all: 0.0471 (0.0482) loss_rec_sfr: 0.0514 (0.0679) loss_cl: -0.3674 (-0.3674) time: 0.8614 data: 0.0002 max mem: 29859 [10:12:55.746907] Epoch: [383] [520/850] eta: 0:04:47 lr: 0.001380 loss: 0.0104 (0.0119) loss_rec_all: 0.0468 (0.0482) loss_rec_sfr: 0.0489 (0.0676) loss_cl: -0.3677 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [10:13:12.981411] Epoch: [383] [540/850] eta: 0:04:29 lr: 0.001380 loss: 0.0110 (0.0119) loss_rec_all: 0.0472 (0.0482) loss_rec_sfr: 0.0609 (0.0676) loss_cl: -0.3676 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [10:13:30.248098] Epoch: [383] [560/850] eta: 0:04:12 lr: 0.001380 loss: 0.0115 (0.0119) loss_rec_all: 0.0479 (0.0482) loss_rec_sfr: 0.0522 (0.0675) loss_cl: -0.3672 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [10:13:47.490767] Epoch: [383] [580/850] eta: 0:03:54 lr: 0.001379 loss: 0.0113 (0.0119) loss_rec_all: 0.0475 (0.0481) loss_rec_sfr: 0.0536 (0.0674) loss_cl: -0.3670 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [10:14:04.769086] Epoch: [383] [600/850] eta: 0:03:37 lr: 0.001379 loss: 0.0109 (0.0118) loss_rec_all: 0.0473 (0.0481) loss_rec_sfr: 0.0479 (0.0671) loss_cl: -0.3669 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [10:14:22.004675] Epoch: [383] [620/850] eta: 0:03:19 lr: 0.001379 loss: 0.0126 (0.0119) loss_rec_all: 0.0487 (0.0481) loss_rec_sfr: 0.0648 (0.0672) loss_cl: -0.3672 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [10:14:39.275830] Epoch: [383] [640/850] eta: 0:03:02 lr: 0.001379 loss: 0.0119 (0.0119) loss_rec_all: 0.0482 (0.0481) loss_rec_sfr: 0.0534 (0.0672) loss_cl: -0.3671 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [10:14:56.504925] Epoch: [383] [660/850] eta: 0:02:45 lr: 0.001379 loss: 0.0107 (0.0118) loss_rec_all: 0.0470 (0.0481) loss_rec_sfr: 0.0495 (0.0670) loss_cl: -0.3672 (-0.3674) time: 0.8614 data: 0.0002 max mem: 29859 [10:15:13.802326] Epoch: [383] [680/850] eta: 0:02:27 lr: 0.001379 loss: 0.0116 (0.0118) loss_rec_all: 0.0478 (0.0481) loss_rec_sfr: 0.0584 (0.0670) loss_cl: -0.3678 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [10:15:31.042394] Epoch: [383] [700/850] eta: 0:02:10 lr: 0.001379 loss: 0.0108 (0.0118) loss_rec_all: 0.0472 (0.0481) loss_rec_sfr: 0.0527 (0.0670) loss_cl: -0.3677 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [10:15:48.321085] Epoch: [383] [720/850] eta: 0:01:52 lr: 0.001379 loss: 0.0107 (0.0118) loss_rec_all: 0.0470 (0.0481) loss_rec_sfr: 0.0495 (0.0669) loss_cl: -0.3673 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [10:16:05.550489] Epoch: [383] [740/850] eta: 0:01:35 lr: 0.001379 loss: 0.0121 (0.0118) loss_rec_all: 0.0483 (0.0481) loss_rec_sfr: 0.0582 (0.0671) loss_cl: -0.3674 (-0.3674) time: 0.8614 data: 0.0002 max mem: 29859 [10:16:22.829650] Epoch: [383] [760/850] eta: 0:01:18 lr: 0.001378 loss: 0.0118 (0.0118) loss_rec_all: 0.0478 (0.0481) loss_rec_sfr: 0.0567 (0.0673) loss_cl: -0.3673 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [10:16:40.061016] Epoch: [383] [780/850] eta: 0:01:00 lr: 0.001378 loss: 0.0121 (0.0118) loss_rec_all: 0.0485 (0.0481) loss_rec_sfr: 0.0668 (0.0674) loss_cl: -0.3677 (-0.3674) time: 0.8615 data: 0.0002 max mem: 29859 [10:16:57.353379] Epoch: [383] [800/850] eta: 0:00:43 lr: 0.001378 loss: 0.0118 (0.0119) loss_rec_all: 0.0481 (0.0481) loss_rec_sfr: 0.0538 (0.0674) loss_cl: -0.3680 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [10:17:14.582171] Epoch: [383] [820/850] eta: 0:00:26 lr: 0.001378 loss: 0.0114 (0.0119) loss_rec_all: 0.0478 (0.0481) loss_rec_sfr: 0.0508 (0.0672) loss_cl: -0.3682 (-0.3674) time: 0.8614 data: 0.0002 max mem: 29859 [10:17:31.846617] Epoch: [383] [840/850] eta: 0:00:08 lr: 0.001378 loss: 0.0107 (0.0118) loss_rec_all: 0.0472 (0.0481) loss_rec_sfr: 0.0483 (0.0671) loss_cl: -0.3681 (-0.3674) time: 0.8632 data: 0.0004 max mem: 29859 [10:17:39.592449] Epoch: [383] [849/850] eta: 0:00:00 lr: 0.001378 loss: 0.0107 (0.0118) loss_rec_all: 0.0470 (0.0481) loss_rec_sfr: 0.0505 (0.0671) loss_cl: -0.3679 (-0.3674) time: 0.8626 data: 0.0004 max mem: 29859 [10:17:39.722060] Epoch: [383] Total time: 0:12:17 (0.8676 s / it) [10:17:39.736175] Averaged stats: lr: 0.001378 loss: 0.0107 (0.0119) loss_rec_all: 0.0470 (0.0482) loss_rec_sfr: 0.0505 (0.0680) loss_cl: -0.3679 (-0.3674) [10:17:39.746192] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [10:17:46.572181] Epoch: [384] [ 0/850] eta: 1:36:41 lr: 0.001378 loss: 0.0122 (0.0122) loss_rec_all: 0.0482 (0.0482) loss_rec_sfr: 0.0984 (0.0984) loss_cl: -0.3668 (-0.3668) time: 6.8250 data: 5.9431 max mem: 29859 [10:18:03.753376] Epoch: [384] [ 20/850] eta: 0:15:48 lr: 0.001378 loss: 0.0107 (0.0109) loss_rec_all: 0.0470 (0.0471) loss_rec_sfr: 0.0552 (0.0645) loss_cl: -0.3671 (-0.3672) time: 0.8590 data: 0.0002 max mem: 29859 [10:18:20.998892] Epoch: [384] [ 40/850] eta: 0:13:34 lr: 0.001378 loss: 0.0098 (0.0109) loss_rec_all: 0.0462 (0.0471) loss_rec_sfr: 0.0502 (0.0630) loss_cl: -0.3670 (-0.3671) time: 0.8622 data: 0.0002 max mem: 29859 [10:18:38.225094] Epoch: [384] [ 60/850] eta: 0:12:37 lr: 0.001378 loss: 0.0115 (0.0113) loss_rec_all: 0.0478 (0.0476) loss_rec_sfr: 0.0515 (0.0625) loss_cl: -0.3668 (-0.3670) time: 0.8613 data: 0.0002 max mem: 29859 [10:18:55.488072] Epoch: [384] [ 80/850] eta: 0:11:59 lr: 0.001377 loss: 0.0110 (0.0114) loss_rec_all: 0.0472 (0.0477) loss_rec_sfr: 0.0500 (0.0629) loss_cl: -0.3664 (-0.3668) time: 0.8631 data: 0.0002 max mem: 29859 [10:19:12.713821] Epoch: [384] [100/850] eta: 0:11:30 lr: 0.001377 loss: 0.0115 (0.0116) loss_rec_all: 0.0476 (0.0478) loss_rec_sfr: 0.0681 (0.0640) loss_cl: -0.3666 (-0.3668) time: 0.8612 data: 0.0002 max mem: 29859 [10:19:30.004990] Epoch: [384] [120/850] eta: 0:11:05 lr: 0.001377 loss: 0.0107 (0.0115) loss_rec_all: 0.0471 (0.0478) loss_rec_sfr: 0.0663 (0.0649) loss_cl: -0.3674 (-0.3669) time: 0.8645 data: 0.0002 max mem: 29859 [10:19:47.236995] Epoch: [384] [140/850] eta: 0:10:41 lr: 0.001377 loss: 0.0107 (0.0115) loss_rec_all: 0.0468 (0.0478) loss_rec_sfr: 0.0655 (0.0656) loss_cl: -0.3674 (-0.3670) time: 0.8616 data: 0.0002 max mem: 29859 [10:20:04.514569] Epoch: [384] [160/850] eta: 0:10:20 lr: 0.001377 loss: 0.0108 (0.0115) loss_rec_all: 0.0472 (0.0477) loss_rec_sfr: 0.0478 (0.0650) loss_cl: -0.3676 (-0.3671) time: 0.8638 data: 0.0002 max mem: 29859 [10:20:21.774738] Epoch: [384] [180/850] eta: 0:09:59 lr: 0.001377 loss: 0.0107 (0.0115) loss_rec_all: 0.0470 (0.0477) loss_rec_sfr: 0.0503 (0.0652) loss_cl: -0.3673 (-0.3671) time: 0.8630 data: 0.0002 max mem: 29859 [10:20:39.108664] Epoch: [384] [200/850] eta: 0:09:39 lr: 0.001377 loss: 0.0103 (0.0114) loss_rec_all: 0.0467 (0.0476) loss_rec_sfr: 0.0535 (0.0647) loss_cl: -0.3675 (-0.3671) time: 0.8666 data: 0.0002 max mem: 29859 [10:20:56.357476] Epoch: [384] [220/850] eta: 0:09:20 lr: 0.001377 loss: 0.0107 (0.0114) loss_rec_all: 0.0469 (0.0477) loss_rec_sfr: 0.0727 (0.0651) loss_cl: -0.3679 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [10:21:13.668691] Epoch: [384] [240/850] eta: 0:09:01 lr: 0.001377 loss: 0.0121 (0.0115) loss_rec_all: 0.0483 (0.0478) loss_rec_sfr: 0.0686 (0.0654) loss_cl: -0.3678 (-0.3672) time: 0.8655 data: 0.0002 max mem: 29859 [10:21:30.916710] Epoch: [384] [260/850] eta: 0:08:42 lr: 0.001376 loss: 0.0116 (0.0115) loss_rec_all: 0.0480 (0.0478) loss_rec_sfr: 0.0527 (0.0650) loss_cl: -0.3677 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [10:21:48.188555] Epoch: [384] [280/850] eta: 0:08:23 lr: 0.001376 loss: 0.0126 (0.0116) loss_rec_all: 0.0486 (0.0479) loss_rec_sfr: 0.0695 (0.0657) loss_cl: -0.3672 (-0.3672) time: 0.8635 data: 0.0003 max mem: 29859 [10:22:07.038295] Epoch: [384] [300/850] eta: 0:08:08 lr: 0.001376 loss: 0.0115 (0.0116) loss_rec_all: 0.0477 (0.0479) loss_rec_sfr: 0.0496 (0.0658) loss_cl: -0.3667 (-0.3672) time: 0.9424 data: 0.0438 max mem: 29859 [10:22:27.963430] Epoch: [384] [320/850] eta: 0:07:55 lr: 0.001376 loss: 0.0136 (0.0117) loss_rec_all: 0.0497 (0.0480) loss_rec_sfr: 0.0746 (0.0666) loss_cl: -0.3668 (-0.3672) time: 1.0462 data: 0.1837 max mem: 29859 [10:22:51.608397] Epoch: [384] [340/850] eta: 0:07:46 lr: 0.001376 loss: 0.0113 (0.0117) loss_rec_all: 0.0474 (0.0480) loss_rec_sfr: 0.0526 (0.0668) loss_cl: -0.3671 (-0.3671) time: 1.1822 data: 0.3234 max mem: 29859 [10:23:12.057080] Epoch: [384] [360/850] eta: 0:07:31 lr: 0.001376 loss: 0.0113 (0.0118) loss_rec_all: 0.0476 (0.0480) loss_rec_sfr: 0.0696 (0.0670) loss_cl: -0.3673 (-0.3672) time: 1.0224 data: 0.1599 max mem: 29859 [10:23:33.361727] Epoch: [384] [380/850] eta: 0:07:16 lr: 0.001376 loss: 0.0109 (0.0117) loss_rec_all: 0.0472 (0.0480) loss_rec_sfr: 0.0486 (0.0668) loss_cl: -0.3675 (-0.3672) time: 1.0652 data: 0.2058 max mem: 29859 [10:23:55.561782] Epoch: [384] [400/850] eta: 0:07:01 lr: 0.001376 loss: 0.0120 (0.0118) loss_rec_all: 0.0483 (0.0480) loss_rec_sfr: 0.0645 (0.0667) loss_cl: -0.3673 (-0.3672) time: 1.1100 data: 0.0426 max mem: 29859 [10:24:18.623297] Epoch: [384] [420/850] eta: 0:06:47 lr: 0.001376 loss: 0.0119 (0.0118) loss_rec_all: 0.0482 (0.0481) loss_rec_sfr: 0.0609 (0.0669) loss_cl: -0.3676 (-0.3672) time: 1.1530 data: 0.0355 max mem: 29859 [10:24:40.738709] Epoch: [384] [440/850] eta: 0:06:31 lr: 0.001375 loss: 0.0115 (0.0118) loss_rec_all: 0.0479 (0.0481) loss_rec_sfr: 0.0521 (0.0665) loss_cl: -0.3679 (-0.3672) time: 1.1057 data: 0.0002 max mem: 29859 [10:25:03.972006] Epoch: [384] [460/850] eta: 0:06:15 lr: 0.001375 loss: 0.0124 (0.0119) loss_rec_all: 0.0487 (0.0481) loss_rec_sfr: 0.0755 (0.0669) loss_cl: -0.3682 (-0.3673) time: 1.1616 data: 0.0002 max mem: 29859 [10:25:26.773003] Epoch: [384] [480/850] eta: 0:05:59 lr: 0.001375 loss: 0.0123 (0.0119) loss_rec_all: 0.0483 (0.0482) loss_rec_sfr: 0.0734 (0.0671) loss_cl: -0.3676 (-0.3673) time: 1.1400 data: 0.0002 max mem: 29859 [10:25:50.838654] Epoch: [384] [500/850] eta: 0:05:43 lr: 0.001375 loss: 0.0114 (0.0119) loss_rec_all: 0.0478 (0.0482) loss_rec_sfr: 0.0495 (0.0670) loss_cl: -0.3674 (-0.3673) time: 1.2032 data: 0.0002 max mem: 29859 [10:26:11.215458] Epoch: [384] [520/850] eta: 0:05:23 lr: 0.001375 loss: 0.0115 (0.0119) loss_rec_all: 0.0476 (0.0482) loss_rec_sfr: 0.0524 (0.0669) loss_cl: -0.3669 (-0.3673) time: 1.0188 data: 0.0002 max mem: 29859 [10:26:33.850320] Epoch: [384] [540/850] eta: 0:05:06 lr: 0.001375 loss: 0.0118 (0.0119) loss_rec_all: 0.0480 (0.0482) loss_rec_sfr: 0.0522 (0.0667) loss_cl: -0.3667 (-0.3672) time: 1.1317 data: 0.0002 max mem: 29859 [10:26:55.350389] Epoch: [384] [560/850] eta: 0:04:47 lr: 0.001375 loss: 0.0118 (0.0120) loss_rec_all: 0.0479 (0.0482) loss_rec_sfr: 0.0589 (0.0668) loss_cl: -0.3674 (-0.3672) time: 1.0750 data: 0.0002 max mem: 29859 [10:27:19.868369] Epoch: [384] [580/850] eta: 0:04:29 lr: 0.001375 loss: 0.0117 (0.0120) loss_rec_all: 0.0481 (0.0482) loss_rec_sfr: 0.0681 (0.0670) loss_cl: -0.3682 (-0.3673) time: 1.2259 data: 0.0711 max mem: 29859 [10:27:42.156770] Epoch: [384] [600/850] eta: 0:04:10 lr: 0.001374 loss: 0.0107 (0.0119) loss_rec_all: 0.0472 (0.0482) loss_rec_sfr: 0.0475 (0.0666) loss_cl: -0.3684 (-0.3673) time: 1.1144 data: 0.0316 max mem: 29859 [10:28:05.549010] Epoch: [384] [620/850] eta: 0:03:51 lr: 0.001374 loss: 0.0112 (0.0119) loss_rec_all: 0.0477 (0.0482) loss_rec_sfr: 0.0504 (0.0666) loss_cl: -0.3680 (-0.3673) time: 1.1696 data: 0.0758 max mem: 29859 [10:28:28.659239] Epoch: [384] [640/850] eta: 0:03:32 lr: 0.001374 loss: 0.0105 (0.0119) loss_rec_all: 0.0470 (0.0482) loss_rec_sfr: 0.0481 (0.0662) loss_cl: -0.3675 (-0.3673) time: 1.1555 data: 0.1010 max mem: 29859 [10:28:51.947890] Epoch: [384] [660/850] eta: 0:03:13 lr: 0.001374 loss: 0.0121 (0.0119) loss_rec_all: 0.0484 (0.0482) loss_rec_sfr: 0.0661 (0.0663) loss_cl: -0.3668 (-0.3673) time: 1.1644 data: 0.2336 max mem: 29859 [10:29:16.075994] Epoch: [384] [680/850] eta: 0:02:53 lr: 0.001374 loss: 0.0109 (0.0119) loss_rec_all: 0.0471 (0.0482) loss_rec_sfr: 0.0529 (0.0662) loss_cl: -0.3662 (-0.3673) time: 1.2064 data: 0.0002 max mem: 29859 [10:29:37.095206] Epoch: [384] [700/850] eta: 0:02:33 lr: 0.001374 loss: 0.0123 (0.0119) loss_rec_all: 0.0485 (0.0482) loss_rec_sfr: 0.0706 (0.0664) loss_cl: -0.3666 (-0.3673) time: 1.0509 data: 0.0002 max mem: 29859 [10:29:55.763933] Epoch: [384] [720/850] eta: 0:02:12 lr: 0.001374 loss: 0.0141 (0.0120) loss_rec_all: 0.0503 (0.0483) loss_rec_sfr: 0.0529 (0.0664) loss_cl: -0.3674 (-0.3673) time: 0.9334 data: 0.0725 max mem: 29859 [10:30:13.199695] Epoch: [384] [740/850] eta: 0:01:51 lr: 0.001374 loss: 0.0126 (0.0120) loss_rec_all: 0.0490 (0.0483) loss_rec_sfr: 0.0510 (0.0663) loss_cl: -0.3678 (-0.3673) time: 0.8717 data: 0.0120 max mem: 29859 [10:30:33.696744] Epoch: [384] [760/850] eta: 0:01:31 lr: 0.001374 loss: 0.0127 (0.0121) loss_rec_all: 0.0492 (0.0484) loss_rec_sfr: 0.0512 (0.0663) loss_cl: -0.3684 (-0.3673) time: 1.0248 data: 0.0046 max mem: 29859 [10:30:51.499322] Epoch: [384] [780/850] eta: 0:01:10 lr: 0.001373 loss: 0.0136 (0.0121) loss_rec_all: 0.0500 (0.0484) loss_rec_sfr: 0.0683 (0.0665) loss_cl: -0.3687 (-0.3674) time: 0.8901 data: 0.0002 max mem: 29859 [10:31:12.081108] Epoch: [384] [800/850] eta: 0:00:50 lr: 0.001373 loss: 0.0111 (0.0121) loss_rec_all: 0.0476 (0.0484) loss_rec_sfr: 0.0482 (0.0663) loss_cl: -0.3680 (-0.3674) time: 1.0290 data: 0.0445 max mem: 29859 [10:31:30.442817] Epoch: [384] [820/850] eta: 0:00:30 lr: 0.001373 loss: 0.0116 (0.0121) loss_rec_all: 0.0479 (0.0484) loss_rec_sfr: 0.0505 (0.0662) loss_cl: -0.3672 (-0.3674) time: 0.9180 data: 0.0003 max mem: 29859 [10:31:49.174911] Epoch: [384] [840/850] eta: 0:00:10 lr: 0.001373 loss: 0.0115 (0.0121) loss_rec_all: 0.0478 (0.0484) loss_rec_sfr: 0.0719 (0.0664) loss_cl: -0.3667 (-0.3674) time: 0.9366 data: 0.0005 max mem: 29859 [10:31:56.927471] Epoch: [384] [849/850] eta: 0:00:01 lr: 0.001373 loss: 0.0123 (0.0121) loss_rec_all: 0.0486 (0.0484) loss_rec_sfr: 0.0689 (0.0664) loss_cl: -0.3667 (-0.3673) time: 0.8993 data: 0.0005 max mem: 29859 [10:31:57.057914] Epoch: [384] Total time: 0:14:17 (1.0086 s / it) [10:31:57.074669] Averaged stats: lr: 0.001373 loss: 0.0123 (0.0121) loss_rec_all: 0.0486 (0.0484) loss_rec_sfr: 0.0689 (0.0667) loss_cl: -0.3667 (-0.3674) [10:31:57.081096] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [10:32:02.190631] Epoch: [385] [ 0/850] eta: 1:12:22 lr: 0.001373 loss: 0.0105 (0.0105) loss_rec_all: 0.0467 (0.0467) loss_rec_sfr: 0.0443 (0.0443) loss_cl: -0.3652 (-0.3652) time: 5.1087 data: 4.2565 max mem: 29859 [10:32:19.417765] Epoch: [385] [ 20/850] eta: 0:14:42 lr: 0.001373 loss: 0.0110 (0.0110) loss_rec_all: 0.0473 (0.0472) loss_rec_sfr: 0.0465 (0.0587) loss_cl: -0.3665 (-0.3665) time: 0.8613 data: 0.0003 max mem: 29859 [10:32:36.703508] Epoch: [385] [ 40/850] eta: 0:13:02 lr: 0.001373 loss: 0.0109 (0.0112) loss_rec_all: 0.0472 (0.0474) loss_rec_sfr: 0.0563 (0.0625) loss_cl: -0.3668 (-0.3667) time: 0.8642 data: 0.0003 max mem: 29859 [10:32:53.948629] Epoch: [385] [ 60/850] eta: 0:12:16 lr: 0.001373 loss: 0.0102 (0.0110) loss_rec_all: 0.0466 (0.0473) loss_rec_sfr: 0.0482 (0.0598) loss_cl: -0.3674 (-0.3669) time: 0.8622 data: 0.0002 max mem: 29859 [10:33:11.212471] Epoch: [385] [ 80/850] eta: 0:11:44 lr: 0.001373 loss: 0.0113 (0.0112) loss_rec_all: 0.0476 (0.0475) loss_rec_sfr: 0.0672 (0.0614) loss_cl: -0.3672 (-0.3670) time: 0.8631 data: 0.0002 max mem: 29859 [10:33:28.434314] Epoch: [385] [100/850] eta: 0:11:18 lr: 0.001372 loss: 0.0119 (0.0114) loss_rec_all: 0.0481 (0.0477) loss_rec_sfr: 0.0684 (0.0627) loss_cl: -0.3672 (-0.3670) time: 0.8610 data: 0.0002 max mem: 29859 [10:33:45.698151] Epoch: [385] [120/850] eta: 0:10:55 lr: 0.001372 loss: 0.0114 (0.0116) loss_rec_all: 0.0477 (0.0478) loss_rec_sfr: 0.0805 (0.0652) loss_cl: -0.3675 (-0.3671) time: 0.8631 data: 0.0002 max mem: 29859 [10:34:02.940254] Epoch: [385] [140/850] eta: 0:10:33 lr: 0.001372 loss: 0.0103 (0.0115) loss_rec_all: 0.0468 (0.0477) loss_rec_sfr: 0.0484 (0.0650) loss_cl: -0.3677 (-0.3672) time: 0.8621 data: 0.0003 max mem: 29859 [10:34:20.220396] Epoch: [385] [160/850] eta: 0:10:13 lr: 0.001372 loss: 0.0114 (0.0115) loss_rec_all: 0.0476 (0.0478) loss_rec_sfr: 0.0570 (0.0657) loss_cl: -0.3681 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [10:34:37.508689] Epoch: [385] [180/850] eta: 0:09:53 lr: 0.001372 loss: 0.0111 (0.0115) loss_rec_all: 0.0473 (0.0477) loss_rec_sfr: 0.0526 (0.0654) loss_cl: -0.3677 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [10:34:54.797868] Epoch: [385] [200/850] eta: 0:09:34 lr: 0.001372 loss: 0.0115 (0.0115) loss_rec_all: 0.0477 (0.0477) loss_rec_sfr: 0.0630 (0.0654) loss_cl: -0.3675 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [10:35:12.084376] Epoch: [385] [220/850] eta: 0:09:15 lr: 0.001372 loss: 0.0110 (0.0115) loss_rec_all: 0.0472 (0.0478) loss_rec_sfr: 0.0533 (0.0648) loss_cl: -0.3672 (-0.3673) time: 0.8643 data: 0.0003 max mem: 29859 [10:35:29.476559] Epoch: [385] [240/850] eta: 0:08:57 lr: 0.001372 loss: 0.0099 (0.0114) loss_rec_all: 0.0462 (0.0477) loss_rec_sfr: 0.0498 (0.0643) loss_cl: -0.3672 (-0.3673) time: 0.8696 data: 0.0003 max mem: 29859 [10:35:46.721263] Epoch: [385] [260/850] eta: 0:08:39 lr: 0.001372 loss: 0.0126 (0.0115) loss_rec_all: 0.0487 (0.0478) loss_rec_sfr: 0.0698 (0.0646) loss_cl: -0.3673 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [10:36:04.126069] Epoch: [385] [280/850] eta: 0:08:21 lr: 0.001371 loss: 0.0119 (0.0116) loss_rec_all: 0.0482 (0.0479) loss_rec_sfr: 0.0525 (0.0648) loss_cl: -0.3674 (-0.3673) time: 0.8701 data: 0.0004 max mem: 29859 [10:36:21.415449] Epoch: [385] [300/850] eta: 0:08:02 lr: 0.001371 loss: 0.0117 (0.0117) loss_rec_all: 0.0478 (0.0479) loss_rec_sfr: 0.0662 (0.0651) loss_cl: -0.3670 (-0.3673) time: 0.8644 data: 0.0003 max mem: 29859 [10:36:38.718982] Epoch: [385] [320/850] eta: 0:07:44 lr: 0.001371 loss: 0.0116 (0.0117) loss_rec_all: 0.0479 (0.0480) loss_rec_sfr: 0.0570 (0.0650) loss_cl: -0.3669 (-0.3673) time: 0.8651 data: 0.0002 max mem: 29859 [10:36:55.983114] Epoch: [385] [340/850] eta: 0:07:27 lr: 0.001371 loss: 0.0123 (0.0117) loss_rec_all: 0.0484 (0.0480) loss_rec_sfr: 0.0799 (0.0655) loss_cl: -0.3675 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [10:37:13.292249] Epoch: [385] [360/850] eta: 0:07:09 lr: 0.001371 loss: 0.0114 (0.0117) loss_rec_all: 0.0478 (0.0480) loss_rec_sfr: 0.0681 (0.0659) loss_cl: -0.3678 (-0.3673) time: 0.8654 data: 0.0003 max mem: 29859 [10:37:30.622787] Epoch: [385] [380/850] eta: 0:06:51 lr: 0.001371 loss: 0.0115 (0.0117) loss_rec_all: 0.0479 (0.0480) loss_rec_sfr: 0.0693 (0.0661) loss_cl: -0.3680 (-0.3673) time: 0.8664 data: 0.0003 max mem: 29859 [10:37:47.915645] Epoch: [385] [400/850] eta: 0:06:33 lr: 0.001371 loss: 0.0112 (0.0117) loss_rec_all: 0.0477 (0.0480) loss_rec_sfr: 0.0476 (0.0659) loss_cl: -0.3683 (-0.3674) time: 0.8646 data: 0.0002 max mem: 29859 [10:38:05.168361] Epoch: [385] [420/850] eta: 0:06:15 lr: 0.001371 loss: 0.0111 (0.0117) loss_rec_all: 0.0473 (0.0480) loss_rec_sfr: 0.0535 (0.0659) loss_cl: -0.3677 (-0.3674) time: 0.8626 data: 0.0002 max mem: 29859 [10:38:22.506688] Epoch: [385] [440/850] eta: 0:05:58 lr: 0.001370 loss: 0.0104 (0.0117) loss_rec_all: 0.0468 (0.0480) loss_rec_sfr: 0.0523 (0.0657) loss_cl: -0.3673 (-0.3674) time: 0.8669 data: 0.0003 max mem: 29859 [10:38:39.800070] Epoch: [385] [460/850] eta: 0:05:40 lr: 0.001370 loss: 0.0112 (0.0117) loss_rec_all: 0.0473 (0.0480) loss_rec_sfr: 0.0667 (0.0657) loss_cl: -0.3673 (-0.3674) time: 0.8646 data: 0.0002 max mem: 29859 [10:38:57.103304] Epoch: [385] [480/850] eta: 0:05:23 lr: 0.001370 loss: 0.0108 (0.0117) loss_rec_all: 0.0470 (0.0480) loss_rec_sfr: 0.0488 (0.0656) loss_cl: -0.3670 (-0.3674) time: 0.8651 data: 0.0002 max mem: 29859 [10:39:14.336526] Epoch: [385] [500/850] eta: 0:05:05 lr: 0.001370 loss: 0.0123 (0.0118) loss_rec_all: 0.0486 (0.0480) loss_rec_sfr: 0.0705 (0.0658) loss_cl: -0.3667 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [10:39:31.673247] Epoch: [385] [520/850] eta: 0:04:47 lr: 0.001370 loss: 0.0119 (0.0118) loss_rec_all: 0.0481 (0.0481) loss_rec_sfr: 0.0491 (0.0658) loss_cl: -0.3667 (-0.3673) time: 0.8668 data: 0.0002 max mem: 29859 [10:39:48.922890] Epoch: [385] [540/850] eta: 0:04:30 lr: 0.001370 loss: 0.0115 (0.0118) loss_rec_all: 0.0478 (0.0481) loss_rec_sfr: 0.0518 (0.0657) loss_cl: -0.3671 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [10:40:06.212123] Epoch: [385] [560/850] eta: 0:04:12 lr: 0.001370 loss: 0.0121 (0.0118) loss_rec_all: 0.0483 (0.0481) loss_rec_sfr: 0.0668 (0.0659) loss_cl: -0.3672 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [10:40:23.501367] Epoch: [385] [580/850] eta: 0:03:55 lr: 0.001370 loss: 0.0115 (0.0118) loss_rec_all: 0.0479 (0.0481) loss_rec_sfr: 0.0509 (0.0658) loss_cl: -0.3679 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [10:40:40.810064] Epoch: [385] [600/850] eta: 0:03:37 lr: 0.001370 loss: 0.0113 (0.0118) loss_rec_all: 0.0475 (0.0481) loss_rec_sfr: 0.0654 (0.0660) loss_cl: -0.3679 (-0.3673) time: 0.8654 data: 0.0002 max mem: 29859 [10:40:58.143299] Epoch: [385] [620/850] eta: 0:03:20 lr: 0.001369 loss: 0.0120 (0.0118) loss_rec_all: 0.0483 (0.0481) loss_rec_sfr: 0.0692 (0.0661) loss_cl: -0.3679 (-0.3674) time: 0.8666 data: 0.0002 max mem: 29859 [10:41:15.593579] Epoch: [385] [640/850] eta: 0:03:02 lr: 0.001369 loss: 0.0112 (0.0118) loss_rec_all: 0.0477 (0.0481) loss_rec_sfr: 0.0547 (0.0661) loss_cl: -0.3677 (-0.3674) time: 0.8724 data: 0.0004 max mem: 29859 [10:41:32.881665] Epoch: [385] [660/850] eta: 0:02:45 lr: 0.001369 loss: 0.0106 (0.0118) loss_rec_all: 0.0468 (0.0481) loss_rec_sfr: 0.0670 (0.0663) loss_cl: -0.3673 (-0.3674) time: 0.8644 data: 0.0003 max mem: 29859 [10:41:50.146261] Epoch: [385] [680/850] eta: 0:02:28 lr: 0.001369 loss: 0.0112 (0.0118) loss_rec_all: 0.0475 (0.0481) loss_rec_sfr: 0.0524 (0.0664) loss_cl: -0.3669 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [10:42:07.426507] Epoch: [385] [700/850] eta: 0:02:10 lr: 0.001369 loss: 0.0126 (0.0118) loss_rec_all: 0.0488 (0.0481) loss_rec_sfr: 0.0699 (0.0666) loss_cl: -0.3673 (-0.3674) time: 0.8640 data: 0.0003 max mem: 29859 [10:42:24.697221] Epoch: [385] [720/850] eta: 0:01:53 lr: 0.001369 loss: 0.0124 (0.0119) loss_rec_all: 0.0488 (0.0481) loss_rec_sfr: 0.0669 (0.0667) loss_cl: -0.3676 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [10:42:41.959196] Epoch: [385] [740/850] eta: 0:01:35 lr: 0.001369 loss: 0.0124 (0.0119) loss_rec_all: 0.0485 (0.0481) loss_rec_sfr: 0.0641 (0.0668) loss_cl: -0.3676 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [10:42:59.271312] Epoch: [385] [760/850] eta: 0:01:18 lr: 0.001369 loss: 0.0127 (0.0119) loss_rec_all: 0.0490 (0.0482) loss_rec_sfr: 0.0521 (0.0667) loss_cl: -0.3677 (-0.3674) time: 0.8656 data: 0.0002 max mem: 29859 [10:43:16.504032] Epoch: [385] [780/850] eta: 0:01:00 lr: 0.001369 loss: 0.0146 (0.0120) loss_rec_all: 0.0507 (0.0482) loss_rec_sfr: 0.0713 (0.0670) loss_cl: -0.3677 (-0.3674) time: 0.8616 data: 0.0002 max mem: 29859 [10:43:33.800715] Epoch: [385] [800/850] eta: 0:00:43 lr: 0.001368 loss: 0.0131 (0.0120) loss_rec_all: 0.0494 (0.0483) loss_rec_sfr: 0.0511 (0.0670) loss_cl: -0.3674 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [10:43:51.093366] Epoch: [385] [820/850] eta: 0:00:26 lr: 0.001368 loss: 0.0133 (0.0120) loss_rec_all: 0.0494 (0.0483) loss_rec_sfr: 0.0688 (0.0671) loss_cl: -0.3674 (-0.3674) time: 0.8646 data: 0.0003 max mem: 29859 [10:44:08.467648] Epoch: [385] [840/850] eta: 0:00:08 lr: 0.001368 loss: 0.0120 (0.0120) loss_rec_all: 0.0484 (0.0483) loss_rec_sfr: 0.0546 (0.0671) loss_cl: -0.3674 (-0.3674) time: 0.8686 data: 0.0008 max mem: 29859 [10:44:16.247805] Epoch: [385] [849/850] eta: 0:00:00 lr: 0.001368 loss: 0.0122 (0.0120) loss_rec_all: 0.0487 (0.0483) loss_rec_sfr: 0.0546 (0.0672) loss_cl: -0.3673 (-0.3674) time: 0.8678 data: 0.0007 max mem: 29859 [10:44:16.420908] Epoch: [385] Total time: 0:12:19 (0.8698 s / it) [10:44:16.426199] Averaged stats: lr: 0.001368 loss: 0.0122 (0.0121) loss_rec_all: 0.0487 (0.0483) loss_rec_sfr: 0.0546 (0.0670) loss_cl: -0.3673 (-0.3674) [10:44:16.441883] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [10:44:21.376890] Epoch: [386] [ 0/850] eta: 1:09:52 lr: 0.001368 loss: 0.0096 (0.0096) loss_rec_all: 0.0459 (0.0459) loss_rec_sfr: 0.0427 (0.0427) loss_cl: -0.3668 (-0.3668) time: 4.9327 data: 3.5426 max mem: 29859 [10:44:38.572426] Epoch: [386] [ 20/850] eta: 0:14:34 lr: 0.001368 loss: 0.0111 (0.0116) loss_rec_all: 0.0475 (0.0479) loss_rec_sfr: 0.0492 (0.0609) loss_cl: -0.3671 (-0.3669) time: 0.8597 data: 0.0002 max mem: 29859 [10:44:55.825005] Epoch: [386] [ 40/850] eta: 0:12:57 lr: 0.001368 loss: 0.0110 (0.0118) loss_rec_all: 0.0474 (0.0480) loss_rec_sfr: 0.0530 (0.0619) loss_cl: -0.3673 (-0.3670) time: 0.8626 data: 0.0002 max mem: 29859 [10:45:13.095113] Epoch: [386] [ 60/850] eta: 0:12:13 lr: 0.001368 loss: 0.0119 (0.0120) loss_rec_all: 0.0484 (0.0483) loss_rec_sfr: 0.0561 (0.0630) loss_cl: -0.3671 (-0.3671) time: 0.8635 data: 0.0002 max mem: 29859 [10:45:30.350523] Epoch: [386] [ 80/850] eta: 0:11:42 lr: 0.001368 loss: 0.0121 (0.0121) loss_rec_all: 0.0483 (0.0484) loss_rec_sfr: 0.0676 (0.0645) loss_cl: -0.3671 (-0.3671) time: 0.8627 data: 0.0002 max mem: 29859 [10:45:47.620688] Epoch: [386] [100/850] eta: 0:11:17 lr: 0.001368 loss: 0.0117 (0.0122) loss_rec_all: 0.0480 (0.0484) loss_rec_sfr: 0.0687 (0.0657) loss_cl: -0.3673 (-0.3671) time: 0.8634 data: 0.0002 max mem: 29859 [10:46:05.102634] Epoch: [386] [120/850] eta: 0:10:55 lr: 0.001367 loss: 0.0106 (0.0120) loss_rec_all: 0.0469 (0.0483) loss_rec_sfr: 0.0495 (0.0650) loss_cl: -0.3670 (-0.3671) time: 0.8740 data: 0.0004 max mem: 29859 [10:46:22.325424] Epoch: [386] [140/850] eta: 0:10:33 lr: 0.001367 loss: 0.0114 (0.0119) loss_rec_all: 0.0477 (0.0482) loss_rec_sfr: 0.0519 (0.0648) loss_cl: -0.3671 (-0.3671) time: 0.8611 data: 0.0002 max mem: 29859 [10:46:39.610676] Epoch: [386] [160/850] eta: 0:10:13 lr: 0.001367 loss: 0.0107 (0.0118) loss_rec_all: 0.0469 (0.0481) loss_rec_sfr: 0.0519 (0.0648) loss_cl: -0.3674 (-0.3671) time: 0.8642 data: 0.0002 max mem: 29859 [10:46:56.913254] Epoch: [386] [180/850] eta: 0:09:53 lr: 0.001367 loss: 0.0113 (0.0117) loss_rec_all: 0.0475 (0.0480) loss_rec_sfr: 0.0495 (0.0647) loss_cl: -0.3676 (-0.3672) time: 0.8651 data: 0.0003 max mem: 29859 [10:47:14.233501] Epoch: [386] [200/850] eta: 0:09:34 lr: 0.001367 loss: 0.0110 (0.0117) loss_rec_all: 0.0473 (0.0480) loss_rec_sfr: 0.0540 (0.0647) loss_cl: -0.3680 (-0.3673) time: 0.8660 data: 0.0002 max mem: 29859 [10:47:31.597315] Epoch: [386] [220/850] eta: 0:09:16 lr: 0.001367 loss: 0.0107 (0.0116) loss_rec_all: 0.0468 (0.0479) loss_rec_sfr: 0.0478 (0.0647) loss_cl: -0.3679 (-0.3673) time: 0.8681 data: 0.0003 max mem: 29859 [10:47:49.036041] Epoch: [386] [240/850] eta: 0:08:58 lr: 0.001367 loss: 0.0106 (0.0116) loss_rec_all: 0.0469 (0.0479) loss_rec_sfr: 0.0535 (0.0647) loss_cl: -0.3679 (-0.3674) time: 0.8719 data: 0.0003 max mem: 29859 [10:48:06.269442] Epoch: [386] [260/850] eta: 0:08:39 lr: 0.001367 loss: 0.0105 (0.0115) loss_rec_all: 0.0470 (0.0478) loss_rec_sfr: 0.0474 (0.0643) loss_cl: -0.3679 (-0.3674) time: 0.8616 data: 0.0002 max mem: 29859 [10:48:23.596485] Epoch: [386] [280/850] eta: 0:08:21 lr: 0.001366 loss: 0.0112 (0.0116) loss_rec_all: 0.0476 (0.0478) loss_rec_sfr: 0.0499 (0.0646) loss_cl: -0.3671 (-0.3674) time: 0.8663 data: 0.0002 max mem: 29859 [10:48:40.855314] Epoch: [386] [300/850] eta: 0:08:03 lr: 0.001366 loss: 0.0114 (0.0116) loss_rec_all: 0.0474 (0.0479) loss_rec_sfr: 0.0785 (0.0655) loss_cl: -0.3662 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [10:48:58.152445] Epoch: [386] [320/850] eta: 0:07:45 lr: 0.001366 loss: 0.0112 (0.0116) loss_rec_all: 0.0474 (0.0479) loss_rec_sfr: 0.0528 (0.0653) loss_cl: -0.3663 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [10:49:15.613694] Epoch: [386] [340/850] eta: 0:07:27 lr: 0.001366 loss: 0.0113 (0.0116) loss_rec_all: 0.0476 (0.0479) loss_rec_sfr: 0.0503 (0.0652) loss_cl: -0.3667 (-0.3672) time: 0.8730 data: 0.0004 max mem: 29859 [10:49:33.007343] Epoch: [386] [360/850] eta: 0:07:09 lr: 0.001366 loss: 0.0108 (0.0116) loss_rec_all: 0.0473 (0.0479) loss_rec_sfr: 0.0476 (0.0650) loss_cl: -0.3676 (-0.3672) time: 0.8696 data: 0.0002 max mem: 29859 [10:49:50.246523] Epoch: [386] [380/850] eta: 0:06:51 lr: 0.001366 loss: 0.0105 (0.0116) loss_rec_all: 0.0470 (0.0479) loss_rec_sfr: 0.0467 (0.0646) loss_cl: -0.3682 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [10:50:07.583789] Epoch: [386] [400/850] eta: 0:06:34 lr: 0.001366 loss: 0.0113 (0.0116) loss_rec_all: 0.0475 (0.0479) loss_rec_sfr: 0.0641 (0.0649) loss_cl: -0.3679 (-0.3673) time: 0.8668 data: 0.0003 max mem: 29859 [10:50:24.806470] Epoch: [386] [420/850] eta: 0:06:16 lr: 0.001366 loss: 0.0124 (0.0116) loss_rec_all: 0.0486 (0.0479) loss_rec_sfr: 0.0603 (0.0650) loss_cl: -0.3677 (-0.3673) time: 0.8611 data: 0.0002 max mem: 29859 [10:50:42.082683] Epoch: [386] [440/850] eta: 0:05:58 lr: 0.001366 loss: 0.0138 (0.0118) loss_rec_all: 0.0498 (0.0480) loss_rec_sfr: 0.0710 (0.0659) loss_cl: -0.3673 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [10:50:59.345800] Epoch: [386] [460/850] eta: 0:05:40 lr: 0.001365 loss: 0.0121 (0.0118) loss_rec_all: 0.0485 (0.0481) loss_rec_sfr: 0.0577 (0.0659) loss_cl: -0.3673 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [10:51:16.621976] Epoch: [386] [480/850] eta: 0:05:23 lr: 0.001365 loss: 0.0119 (0.0118) loss_rec_all: 0.0482 (0.0481) loss_rec_sfr: 0.0536 (0.0659) loss_cl: -0.3676 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [10:51:33.866878] Epoch: [386] [500/850] eta: 0:05:05 lr: 0.001365 loss: 0.0118 (0.0118) loss_rec_all: 0.0481 (0.0481) loss_rec_sfr: 0.0511 (0.0659) loss_cl: -0.3671 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [10:51:51.131126] Epoch: [386] [520/850] eta: 0:04:47 lr: 0.001365 loss: 0.0110 (0.0118) loss_rec_all: 0.0474 (0.0481) loss_rec_sfr: 0.0473 (0.0658) loss_cl: -0.3676 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [10:52:08.367510] Epoch: [386] [540/850] eta: 0:04:30 lr: 0.001365 loss: 0.0131 (0.0119) loss_rec_all: 0.0493 (0.0481) loss_rec_sfr: 0.0654 (0.0660) loss_cl: -0.3677 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [10:52:25.653621] Epoch: [386] [560/850] eta: 0:04:12 lr: 0.001365 loss: 0.0121 (0.0119) loss_rec_all: 0.0484 (0.0482) loss_rec_sfr: 0.0654 (0.0661) loss_cl: -0.3684 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [10:52:42.906390] Epoch: [386] [580/850] eta: 0:03:55 lr: 0.001365 loss: 0.0117 (0.0119) loss_rec_all: 0.0483 (0.0482) loss_rec_sfr: 0.0524 (0.0661) loss_cl: -0.3681 (-0.3674) time: 0.8626 data: 0.0002 max mem: 29859 [10:53:00.180475] Epoch: [386] [600/850] eta: 0:03:37 lr: 0.001365 loss: 0.0122 (0.0119) loss_rec_all: 0.0483 (0.0482) loss_rec_sfr: 0.0693 (0.0662) loss_cl: -0.3673 (-0.3674) time: 0.8636 data: 0.0003 max mem: 29859 [10:53:17.423259] Epoch: [386] [620/850] eta: 0:03:20 lr: 0.001365 loss: 0.0108 (0.0119) loss_rec_all: 0.0471 (0.0482) loss_rec_sfr: 0.0508 (0.0662) loss_cl: -0.3664 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [10:53:34.713226] Epoch: [386] [640/850] eta: 0:03:02 lr: 0.001364 loss: 0.0119 (0.0119) loss_rec_all: 0.0478 (0.0482) loss_rec_sfr: 0.0686 (0.0663) loss_cl: -0.3666 (-0.3674) time: 0.8644 data: 0.0002 max mem: 29859 [10:53:51.957423] Epoch: [386] [660/850] eta: 0:02:45 lr: 0.001364 loss: 0.0116 (0.0119) loss_rec_all: 0.0477 (0.0482) loss_rec_sfr: 0.0531 (0.0664) loss_cl: -0.3673 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [10:54:09.267508] Epoch: [386] [680/850] eta: 0:02:27 lr: 0.001364 loss: 0.0106 (0.0119) loss_rec_all: 0.0469 (0.0482) loss_rec_sfr: 0.0493 (0.0663) loss_cl: -0.3674 (-0.3673) time: 0.8655 data: 0.0003 max mem: 29859 [10:54:26.524115] Epoch: [386] [700/850] eta: 0:02:10 lr: 0.001364 loss: 0.0108 (0.0119) loss_rec_all: 0.0472 (0.0481) loss_rec_sfr: 0.0505 (0.0662) loss_cl: -0.3679 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [10:54:43.816995] Epoch: [386] [720/850] eta: 0:01:53 lr: 0.001364 loss: 0.0116 (0.0119) loss_rec_all: 0.0478 (0.0481) loss_rec_sfr: 0.0791 (0.0665) loss_cl: -0.3676 (-0.3674) time: 0.8646 data: 0.0003 max mem: 29859 [10:55:01.056997] Epoch: [386] [740/850] eta: 0:01:35 lr: 0.001364 loss: 0.0110 (0.0119) loss_rec_all: 0.0475 (0.0481) loss_rec_sfr: 0.0652 (0.0665) loss_cl: -0.3678 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [10:55:18.355781] Epoch: [386] [760/850] eta: 0:01:18 lr: 0.001364 loss: 0.0117 (0.0119) loss_rec_all: 0.0481 (0.0481) loss_rec_sfr: 0.0510 (0.0663) loss_cl: -0.3673 (-0.3674) time: 0.8649 data: 0.0002 max mem: 29859 [10:55:35.611780] Epoch: [386] [780/850] eta: 0:01:00 lr: 0.001364 loss: 0.0118 (0.0119) loss_rec_all: 0.0479 (0.0481) loss_rec_sfr: 0.0525 (0.0663) loss_cl: -0.3673 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [10:55:52.912563] Epoch: [386] [800/850] eta: 0:00:43 lr: 0.001363 loss: 0.0121 (0.0119) loss_rec_all: 0.0482 (0.0482) loss_rec_sfr: 0.0632 (0.0663) loss_cl: -0.3669 (-0.3674) time: 0.8650 data: 0.0002 max mem: 29859 [10:56:10.163775] Epoch: [386] [820/850] eta: 0:00:26 lr: 0.001363 loss: 0.0126 (0.0119) loss_rec_all: 0.0486 (0.0482) loss_rec_sfr: 0.0746 (0.0665) loss_cl: -0.3675 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [10:56:27.483383] Epoch: [386] [840/850] eta: 0:00:08 lr: 0.001363 loss: 0.0124 (0.0120) loss_rec_all: 0.0488 (0.0482) loss_rec_sfr: 0.0580 (0.0666) loss_cl: -0.3676 (-0.3674) time: 0.8659 data: 0.0005 max mem: 29859 [10:56:35.252667] Epoch: [386] [849/850] eta: 0:00:00 lr: 0.001363 loss: 0.0124 (0.0120) loss_rec_all: 0.0488 (0.0482) loss_rec_sfr: 0.0580 (0.0666) loss_cl: -0.3681 (-0.3674) time: 0.8655 data: 0.0004 max mem: 29859 [10:56:35.389889] Epoch: [386] Total time: 0:12:18 (0.8694 s / it) [10:56:35.403246] Averaged stats: lr: 0.001363 loss: 0.0124 (0.0120) loss_rec_all: 0.0488 (0.0483) loss_rec_sfr: 0.0580 (0.0668) loss_cl: -0.3681 (-0.3674) [10:56:35.412445] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [10:56:40.046845] Epoch: [387] [ 0/850] eta: 1:05:38 lr: 0.001363 loss: 0.0149 (0.0149) loss_rec_all: 0.0512 (0.0512) loss_rec_sfr: 0.0677 (0.0677) loss_cl: -0.3677 (-0.3677) time: 4.6335 data: 3.4425 max mem: 29859 [10:56:57.350698] Epoch: [387] [ 20/850] eta: 0:14:27 lr: 0.001363 loss: 0.0113 (0.0115) loss_rec_all: 0.0476 (0.0478) loss_rec_sfr: 0.0554 (0.0678) loss_cl: -0.3678 (-0.3677) time: 0.8651 data: 0.0002 max mem: 29859 [10:57:14.684476] Epoch: [387] [ 40/850] eta: 0:12:55 lr: 0.001363 loss: 0.0117 (0.0117) loss_rec_all: 0.0478 (0.0480) loss_rec_sfr: 0.0596 (0.0674) loss_cl: -0.3670 (-0.3674) time: 0.8666 data: 0.0002 max mem: 29859 [10:57:31.981560] Epoch: [387] [ 60/850] eta: 0:12:12 lr: 0.001363 loss: 0.0115 (0.0117) loss_rec_all: 0.0476 (0.0480) loss_rec_sfr: 0.0653 (0.0667) loss_cl: -0.3664 (-0.3671) time: 0.8648 data: 0.0002 max mem: 29859 [10:57:49.335652] Epoch: [387] [ 80/850] eta: 0:11:42 lr: 0.001363 loss: 0.0110 (0.0117) loss_rec_all: 0.0473 (0.0480) loss_rec_sfr: 0.0525 (0.0668) loss_cl: -0.3671 (-0.3671) time: 0.8677 data: 0.0002 max mem: 29859 [10:58:06.656137] Epoch: [387] [100/850] eta: 0:11:17 lr: 0.001363 loss: 0.0121 (0.0119) loss_rec_all: 0.0485 (0.0482) loss_rec_sfr: 0.0661 (0.0666) loss_cl: -0.3678 (-0.3672) time: 0.8660 data: 0.0002 max mem: 29859 [10:58:24.001784] Epoch: [387] [120/850] eta: 0:10:55 lr: 0.001362 loss: 0.0119 (0.0119) loss_rec_all: 0.0480 (0.0482) loss_rec_sfr: 0.0657 (0.0675) loss_cl: -0.3679 (-0.3673) time: 0.8672 data: 0.0002 max mem: 29859 [10:58:41.313511] Epoch: [387] [140/850] eta: 0:10:33 lr: 0.001362 loss: 0.0105 (0.0118) loss_rec_all: 0.0469 (0.0481) loss_rec_sfr: 0.0508 (0.0666) loss_cl: -0.3676 (-0.3674) time: 0.8655 data: 0.0002 max mem: 29859 [10:58:58.718861] Epoch: [387] [160/850] eta: 0:10:14 lr: 0.001362 loss: 0.0112 (0.0117) loss_rec_all: 0.0474 (0.0480) loss_rec_sfr: 0.0537 (0.0667) loss_cl: -0.3674 (-0.3674) time: 0.8702 data: 0.0002 max mem: 29859 [10:59:16.058377] Epoch: [387] [180/850] eta: 0:09:54 lr: 0.001362 loss: 0.0115 (0.0117) loss_rec_all: 0.0477 (0.0480) loss_rec_sfr: 0.0481 (0.0660) loss_cl: -0.3673 (-0.3674) time: 0.8669 data: 0.0002 max mem: 29859 [10:59:33.405768] Epoch: [387] [200/850] eta: 0:09:35 lr: 0.001362 loss: 0.0132 (0.0118) loss_rec_all: 0.0492 (0.0481) loss_rec_sfr: 0.0678 (0.0668) loss_cl: -0.3675 (-0.3674) time: 0.8673 data: 0.0002 max mem: 29859 [10:59:50.706462] Epoch: [387] [220/850] eta: 0:09:16 lr: 0.001362 loss: 0.0116 (0.0118) loss_rec_all: 0.0478 (0.0481) loss_rec_sfr: 0.0552 (0.0670) loss_cl: -0.3676 (-0.3674) time: 0.8650 data: 0.0002 max mem: 29859 [11:00:08.032174] Epoch: [387] [240/850] eta: 0:08:58 lr: 0.001362 loss: 0.0108 (0.0117) loss_rec_all: 0.0473 (0.0480) loss_rec_sfr: 0.0531 (0.0666) loss_cl: -0.3680 (-0.3674) time: 0.8662 data: 0.0002 max mem: 29859 [11:00:25.324525] Epoch: [387] [260/850] eta: 0:08:39 lr: 0.001362 loss: 0.0109 (0.0117) loss_rec_all: 0.0473 (0.0480) loss_rec_sfr: 0.0529 (0.0664) loss_cl: -0.3679 (-0.3675) time: 0.8645 data: 0.0002 max mem: 29859 [11:00:42.642760] Epoch: [387] [280/850] eta: 0:08:21 lr: 0.001362 loss: 0.0099 (0.0116) loss_rec_all: 0.0461 (0.0479) loss_rec_sfr: 0.0463 (0.0658) loss_cl: -0.3673 (-0.3674) time: 0.8659 data: 0.0002 max mem: 29859 [11:00:59.906230] Epoch: [387] [300/850] eta: 0:08:03 lr: 0.001361 loss: 0.0118 (0.0116) loss_rec_all: 0.0483 (0.0479) loss_rec_sfr: 0.0685 (0.0662) loss_cl: -0.3667 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [11:01:17.196184] Epoch: [387] [320/850] eta: 0:07:45 lr: 0.001361 loss: 0.0110 (0.0117) loss_rec_all: 0.0472 (0.0479) loss_rec_sfr: 0.0679 (0.0662) loss_cl: -0.3662 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [11:01:34.446410] Epoch: [387] [340/850] eta: 0:07:27 lr: 0.001361 loss: 0.0117 (0.0117) loss_rec_all: 0.0478 (0.0479) loss_rec_sfr: 0.0579 (0.0661) loss_cl: -0.3666 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [11:01:51.743188] Epoch: [387] [360/850] eta: 0:07:09 lr: 0.001361 loss: 0.0124 (0.0117) loss_rec_all: 0.0483 (0.0480) loss_rec_sfr: 0.0710 (0.0666) loss_cl: -0.3666 (-0.3672) time: 0.8648 data: 0.0002 max mem: 29859 [11:02:08.992964] Epoch: [387] [380/850] eta: 0:06:51 lr: 0.001361 loss: 0.0111 (0.0117) loss_rec_all: 0.0475 (0.0480) loss_rec_sfr: 0.0522 (0.0665) loss_cl: -0.3675 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [11:02:26.303152] Epoch: [387] [400/850] eta: 0:06:33 lr: 0.001361 loss: 0.0116 (0.0117) loss_rec_all: 0.0480 (0.0480) loss_rec_sfr: 0.0798 (0.0668) loss_cl: -0.3676 (-0.3672) time: 0.8655 data: 0.0002 max mem: 29859 [11:02:43.531737] Epoch: [387] [420/850] eta: 0:06:15 lr: 0.001361 loss: 0.0108 (0.0117) loss_rec_all: 0.0473 (0.0480) loss_rec_sfr: 0.0523 (0.0667) loss_cl: -0.3680 (-0.3673) time: 0.8614 data: 0.0002 max mem: 29859 [11:03:00.826110] Epoch: [387] [440/850] eta: 0:05:58 lr: 0.001361 loss: 0.0118 (0.0118) loss_rec_all: 0.0482 (0.0480) loss_rec_sfr: 0.0672 (0.0669) loss_cl: -0.3686 (-0.3673) time: 0.8647 data: 0.0003 max mem: 29859 [11:03:18.070560] Epoch: [387] [460/850] eta: 0:05:40 lr: 0.001361 loss: 0.0116 (0.0118) loss_rec_all: 0.0479 (0.0480) loss_rec_sfr: 0.0641 (0.0670) loss_cl: -0.3684 (-0.3674) time: 0.8622 data: 0.0003 max mem: 29859 [11:03:35.376737] Epoch: [387] [480/850] eta: 0:05:23 lr: 0.001360 loss: 0.0121 (0.0118) loss_rec_all: 0.0486 (0.0481) loss_rec_sfr: 0.0687 (0.0672) loss_cl: -0.3677 (-0.3674) time: 0.8652 data: 0.0002 max mem: 29859 [11:03:52.615794] Epoch: [387] [500/850] eta: 0:05:05 lr: 0.001360 loss: 0.0105 (0.0118) loss_rec_all: 0.0468 (0.0481) loss_rec_sfr: 0.0524 (0.0671) loss_cl: -0.3668 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [11:04:09.909434] Epoch: [387] [520/850] eta: 0:04:47 lr: 0.001360 loss: 0.0112 (0.0118) loss_rec_all: 0.0475 (0.0481) loss_rec_sfr: 0.0654 (0.0670) loss_cl: -0.3665 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [11:04:27.145464] Epoch: [387] [540/850] eta: 0:04:30 lr: 0.001360 loss: 0.0103 (0.0118) loss_rec_all: 0.0466 (0.0480) loss_rec_sfr: 0.0477 (0.0670) loss_cl: -0.3671 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [11:04:44.419712] Epoch: [387] [560/850] eta: 0:04:12 lr: 0.001360 loss: 0.0107 (0.0118) loss_rec_all: 0.0470 (0.0480) loss_rec_sfr: 0.0671 (0.0669) loss_cl: -0.3676 (-0.3673) time: 0.8637 data: 0.0003 max mem: 29859 [11:05:01.660976] Epoch: [387] [580/850] eta: 0:03:55 lr: 0.001360 loss: 0.0111 (0.0118) loss_rec_all: 0.0476 (0.0481) loss_rec_sfr: 0.0693 (0.0670) loss_cl: -0.3679 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [11:05:18.945207] Epoch: [387] [600/850] eta: 0:03:37 lr: 0.001360 loss: 0.0107 (0.0118) loss_rec_all: 0.0472 (0.0481) loss_rec_sfr: 0.0504 (0.0670) loss_cl: -0.3679 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [11:05:36.192851] Epoch: [387] [620/850] eta: 0:03:20 lr: 0.001360 loss: 0.0115 (0.0118) loss_rec_all: 0.0478 (0.0481) loss_rec_sfr: 0.0506 (0.0669) loss_cl: -0.3673 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [11:05:53.488260] Epoch: [387] [640/850] eta: 0:03:02 lr: 0.001359 loss: 0.0102 (0.0118) loss_rec_all: 0.0467 (0.0480) loss_rec_sfr: 0.0480 (0.0668) loss_cl: -0.3669 (-0.3674) time: 0.8647 data: 0.0002 max mem: 29859 [11:06:10.731057] Epoch: [387] [660/850] eta: 0:02:45 lr: 0.001359 loss: 0.0110 (0.0118) loss_rec_all: 0.0469 (0.0480) loss_rec_sfr: 0.0657 (0.0668) loss_cl: -0.3670 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [11:06:28.014395] Epoch: [387] [680/850] eta: 0:02:27 lr: 0.001359 loss: 0.0109 (0.0117) loss_rec_all: 0.0472 (0.0480) loss_rec_sfr: 0.0477 (0.0666) loss_cl: -0.3668 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [11:06:45.248967] Epoch: [387] [700/850] eta: 0:02:10 lr: 0.001359 loss: 0.0111 (0.0118) loss_rec_all: 0.0474 (0.0480) loss_rec_sfr: 0.0645 (0.0667) loss_cl: -0.3672 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [11:07:02.514515] Epoch: [387] [720/850] eta: 0:01:53 lr: 0.001359 loss: 0.0096 (0.0117) loss_rec_all: 0.0461 (0.0480) loss_rec_sfr: 0.0503 (0.0665) loss_cl: -0.3674 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [11:07:19.750098] Epoch: [387] [740/850] eta: 0:01:35 lr: 0.001359 loss: 0.0114 (0.0117) loss_rec_all: 0.0475 (0.0480) loss_rec_sfr: 0.0698 (0.0666) loss_cl: -0.3672 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [11:07:37.026979] Epoch: [387] [760/850] eta: 0:01:18 lr: 0.001359 loss: 0.0124 (0.0118) loss_rec_all: 0.0484 (0.0480) loss_rec_sfr: 0.0682 (0.0667) loss_cl: -0.3672 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [11:07:54.265359] Epoch: [387] [780/850] eta: 0:01:00 lr: 0.001359 loss: 0.0107 (0.0117) loss_rec_all: 0.0470 (0.0480) loss_rec_sfr: 0.0481 (0.0664) loss_cl: -0.3680 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [11:08:11.538788] Epoch: [387] [800/850] eta: 0:00:43 lr: 0.001359 loss: 0.0113 (0.0117) loss_rec_all: 0.0475 (0.0480) loss_rec_sfr: 0.0511 (0.0664) loss_cl: -0.3677 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [11:08:28.790455] Epoch: [387] [820/850] eta: 0:00:26 lr: 0.001358 loss: 0.0114 (0.0117) loss_rec_all: 0.0476 (0.0480) loss_rec_sfr: 0.0645 (0.0665) loss_cl: -0.3674 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [11:08:46.071839] Epoch: [387] [840/850] eta: 0:00:08 lr: 0.001358 loss: 0.0110 (0.0117) loss_rec_all: 0.0470 (0.0480) loss_rec_sfr: 0.0486 (0.0664) loss_cl: -0.3670 (-0.3674) time: 0.8640 data: 0.0005 max mem: 29859 [11:08:53.832608] Epoch: [387] [849/850] eta: 0:00:00 lr: 0.001358 loss: 0.0108 (0.0117) loss_rec_all: 0.0470 (0.0480) loss_rec_sfr: 0.0508 (0.0663) loss_cl: -0.3668 (-0.3673) time: 0.8642 data: 0.0005 max mem: 29859 [11:08:53.965718] Epoch: [387] Total time: 0:12:18 (0.8689 s / it) [11:08:54.009308] Averaged stats: lr: 0.001358 loss: 0.0108 (0.0118) loss_rec_all: 0.0470 (0.0480) loss_rec_sfr: 0.0508 (0.0664) loss_cl: -0.3668 (-0.3674) [11:08:54.028119] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [11:08:59.823679] Epoch: [388] [ 0/850] eta: 1:22:05 lr: 0.001358 loss: 0.0106 (0.0106) loss_rec_all: 0.0470 (0.0470) loss_rec_sfr: 0.0449 (0.0449) loss_cl: -0.3666 (-0.3666) time: 5.7948 data: 4.9389 max mem: 29859 [11:09:17.008065] Epoch: [388] [ 20/850] eta: 0:15:08 lr: 0.001358 loss: 0.0103 (0.0103) loss_rec_all: 0.0464 (0.0466) loss_rec_sfr: 0.0473 (0.0590) loss_cl: -0.3669 (-0.3669) time: 0.8592 data: 0.0002 max mem: 29859 [11:09:34.260142] Epoch: [388] [ 40/850] eta: 0:13:14 lr: 0.001358 loss: 0.0111 (0.0108) loss_rec_all: 0.0475 (0.0471) loss_rec_sfr: 0.0631 (0.0622) loss_cl: -0.3676 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [11:09:51.497776] Epoch: [388] [ 60/850] eta: 0:12:24 lr: 0.001358 loss: 0.0109 (0.0111) loss_rec_all: 0.0471 (0.0474) loss_rec_sfr: 0.0681 (0.0639) loss_cl: -0.3684 (-0.3676) time: 0.8618 data: 0.0002 max mem: 29859 [11:10:08.797821] Epoch: [388] [ 80/850] eta: 0:11:50 lr: 0.001358 loss: 0.0126 (0.0115) loss_rec_all: 0.0491 (0.0478) loss_rec_sfr: 0.0521 (0.0635) loss_cl: -0.3683 (-0.3678) time: 0.8650 data: 0.0002 max mem: 29859 [11:10:26.061844] Epoch: [388] [100/850] eta: 0:11:23 lr: 0.001358 loss: 0.0131 (0.0119) loss_rec_all: 0.0492 (0.0482) loss_rec_sfr: 0.0703 (0.0650) loss_cl: -0.3681 (-0.3679) time: 0.8632 data: 0.0002 max mem: 29859 [11:10:43.340687] Epoch: [388] [120/850] eta: 0:10:59 lr: 0.001358 loss: 0.0138 (0.0123) loss_rec_all: 0.0500 (0.0486) loss_rec_sfr: 0.0750 (0.0665) loss_cl: -0.3678 (-0.3678) time: 0.8639 data: 0.0002 max mem: 29859 [11:11:00.572074] Epoch: [388] [140/850] eta: 0:10:37 lr: 0.001357 loss: 0.0113 (0.0123) loss_rec_all: 0.0477 (0.0486) loss_rec_sfr: 0.0506 (0.0661) loss_cl: -0.3673 (-0.3677) time: 0.8615 data: 0.0002 max mem: 29859 [11:11:17.886134] Epoch: [388] [160/850] eta: 0:10:16 lr: 0.001357 loss: 0.0120 (0.0124) loss_rec_all: 0.0481 (0.0487) loss_rec_sfr: 0.0669 (0.0662) loss_cl: -0.3669 (-0.3676) time: 0.8657 data: 0.0002 max mem: 29859 [11:11:35.129794] Epoch: [388] [180/850] eta: 0:09:56 lr: 0.001357 loss: 0.0120 (0.0124) loss_rec_all: 0.0481 (0.0487) loss_rec_sfr: 0.0708 (0.0666) loss_cl: -0.3666 (-0.3675) time: 0.8621 data: 0.0002 max mem: 29859 [11:11:52.409939] Epoch: [388] [200/850] eta: 0:09:36 lr: 0.001357 loss: 0.0133 (0.0125) loss_rec_all: 0.0495 (0.0488) loss_rec_sfr: 0.0832 (0.0684) loss_cl: -0.3667 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [11:12:09.649083] Epoch: [388] [220/850] eta: 0:09:17 lr: 0.001357 loss: 0.0129 (0.0126) loss_rec_all: 0.0489 (0.0488) loss_rec_sfr: 0.0562 (0.0688) loss_cl: -0.3674 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [11:12:26.946453] Epoch: [388] [240/850] eta: 0:08:58 lr: 0.001357 loss: 0.0117 (0.0125) loss_rec_all: 0.0481 (0.0488) loss_rec_sfr: 0.0562 (0.0684) loss_cl: -0.3678 (-0.3675) time: 0.8647 data: 0.0002 max mem: 29859 [11:12:44.194215] Epoch: [388] [260/850] eta: 0:08:40 lr: 0.001357 loss: 0.0112 (0.0125) loss_rec_all: 0.0474 (0.0488) loss_rec_sfr: 0.0653 (0.0683) loss_cl: -0.3682 (-0.3675) time: 0.8623 data: 0.0003 max mem: 29859 [11:13:01.516915] Epoch: [388] [280/850] eta: 0:08:21 lr: 0.001357 loss: 0.0132 (0.0125) loss_rec_all: 0.0493 (0.0488) loss_rec_sfr: 0.0679 (0.0685) loss_cl: -0.3683 (-0.3676) time: 0.8661 data: 0.0002 max mem: 29859 [11:13:18.758966] Epoch: [388] [300/850] eta: 0:08:03 lr: 0.001357 loss: 0.0108 (0.0125) loss_rec_all: 0.0472 (0.0488) loss_rec_sfr: 0.0511 (0.0679) loss_cl: -0.3680 (-0.3676) time: 0.8621 data: 0.0002 max mem: 29859 [11:13:36.042023] Epoch: [388] [320/850] eta: 0:07:45 lr: 0.001356 loss: 0.0120 (0.0125) loss_rec_all: 0.0484 (0.0487) loss_rec_sfr: 0.0656 (0.0681) loss_cl: -0.3671 (-0.3675) time: 0.8641 data: 0.0002 max mem: 29859 [11:13:53.304104] Epoch: [388] [340/850] eta: 0:07:27 lr: 0.001356 loss: 0.0113 (0.0124) loss_rec_all: 0.0475 (0.0487) loss_rec_sfr: 0.0671 (0.0681) loss_cl: -0.3670 (-0.3675) time: 0.8631 data: 0.0002 max mem: 29859 [11:14:10.586168] Epoch: [388] [360/850] eta: 0:07:09 lr: 0.001356 loss: 0.0116 (0.0124) loss_rec_all: 0.0479 (0.0486) loss_rec_sfr: 0.0728 (0.0684) loss_cl: -0.3670 (-0.3675) time: 0.8641 data: 0.0002 max mem: 29859 [11:14:27.838140] Epoch: [388] [380/850] eta: 0:06:51 lr: 0.001356 loss: 0.0108 (0.0123) loss_rec_all: 0.0471 (0.0486) loss_rec_sfr: 0.0691 (0.0685) loss_cl: -0.3672 (-0.3675) time: 0.8625 data: 0.0002 max mem: 29859 [11:14:45.151931] Epoch: [388] [400/850] eta: 0:06:34 lr: 0.001356 loss: 0.0122 (0.0123) loss_rec_all: 0.0484 (0.0486) loss_rec_sfr: 0.0681 (0.0687) loss_cl: -0.3671 (-0.3674) time: 0.8656 data: 0.0002 max mem: 29859 [11:15:02.411040] Epoch: [388] [420/850] eta: 0:06:16 lr: 0.001356 loss: 0.0106 (0.0123) loss_rec_all: 0.0468 (0.0485) loss_rec_sfr: 0.0476 (0.0683) loss_cl: -0.3672 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [11:15:19.694102] Epoch: [388] [440/850] eta: 0:05:58 lr: 0.001356 loss: 0.0116 (0.0122) loss_rec_all: 0.0478 (0.0485) loss_rec_sfr: 0.0652 (0.0683) loss_cl: -0.3673 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [11:15:36.952876] Epoch: [388] [460/850] eta: 0:05:40 lr: 0.001356 loss: 0.0114 (0.0122) loss_rec_all: 0.0477 (0.0485) loss_rec_sfr: 0.0503 (0.0682) loss_cl: -0.3671 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [11:15:54.257780] Epoch: [388] [480/850] eta: 0:05:23 lr: 0.001355 loss: 0.0129 (0.0122) loss_rec_all: 0.0490 (0.0485) loss_rec_sfr: 0.0772 (0.0688) loss_cl: -0.3673 (-0.3674) time: 0.8652 data: 0.0002 max mem: 29859 [11:16:11.509929] Epoch: [388] [500/850] eta: 0:05:05 lr: 0.001355 loss: 0.0109 (0.0122) loss_rec_all: 0.0472 (0.0485) loss_rec_sfr: 0.0519 (0.0685) loss_cl: -0.3675 (-0.3674) time: 0.8626 data: 0.0002 max mem: 29859 [11:16:28.807287] Epoch: [388] [520/850] eta: 0:04:48 lr: 0.001355 loss: 0.0119 (0.0122) loss_rec_all: 0.0482 (0.0485) loss_rec_sfr: 0.0533 (0.0683) loss_cl: -0.3676 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [11:16:46.064658] Epoch: [388] [540/850] eta: 0:04:30 lr: 0.001355 loss: 0.0112 (0.0122) loss_rec_all: 0.0477 (0.0485) loss_rec_sfr: 0.0510 (0.0682) loss_cl: -0.3676 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [11:17:03.352345] Epoch: [388] [560/850] eta: 0:04:12 lr: 0.001355 loss: 0.0120 (0.0122) loss_rec_all: 0.0483 (0.0485) loss_rec_sfr: 0.0690 (0.0684) loss_cl: -0.3678 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [11:17:20.590106] Epoch: [388] [580/850] eta: 0:03:55 lr: 0.001355 loss: 0.0112 (0.0122) loss_rec_all: 0.0474 (0.0484) loss_rec_sfr: 0.0523 (0.0683) loss_cl: -0.3676 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [11:17:37.858692] Epoch: [388] [600/850] eta: 0:03:37 lr: 0.001355 loss: 0.0112 (0.0122) loss_rec_all: 0.0475 (0.0484) loss_rec_sfr: 0.0525 (0.0682) loss_cl: -0.3673 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [11:17:55.097677] Epoch: [388] [620/850] eta: 0:03:20 lr: 0.001355 loss: 0.0124 (0.0122) loss_rec_all: 0.0485 (0.0485) loss_rec_sfr: 0.0581 (0.0681) loss_cl: -0.3670 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [11:18:12.373515] Epoch: [388] [640/850] eta: 0:03:02 lr: 0.001355 loss: 0.0138 (0.0122) loss_rec_all: 0.0497 (0.0485) loss_rec_sfr: 0.0722 (0.0683) loss_cl: -0.3672 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [11:18:29.603842] Epoch: [388] [660/850] eta: 0:02:45 lr: 0.001354 loss: 0.0123 (0.0123) loss_rec_all: 0.0487 (0.0485) loss_rec_sfr: 0.0517 (0.0682) loss_cl: -0.3673 (-0.3674) time: 0.8615 data: 0.0002 max mem: 29859 [11:18:46.884570] Epoch: [388] [680/850] eta: 0:02:27 lr: 0.001354 loss: 0.0122 (0.0123) loss_rec_all: 0.0486 (0.0485) loss_rec_sfr: 0.0507 (0.0681) loss_cl: -0.3668 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [11:19:04.128673] Epoch: [388] [700/850] eta: 0:02:10 lr: 0.001354 loss: 0.0119 (0.0123) loss_rec_all: 0.0482 (0.0486) loss_rec_sfr: 0.0488 (0.0679) loss_cl: -0.3668 (-0.3674) time: 0.8622 data: 0.0002 max mem: 29859 [11:19:21.406214] Epoch: [388] [720/850] eta: 0:01:53 lr: 0.001354 loss: 0.0120 (0.0123) loss_rec_all: 0.0481 (0.0485) loss_rec_sfr: 0.0695 (0.0680) loss_cl: -0.3668 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [11:19:38.653512] Epoch: [388] [740/850] eta: 0:01:35 lr: 0.001354 loss: 0.0124 (0.0123) loss_rec_all: 0.0485 (0.0485) loss_rec_sfr: 0.0693 (0.0680) loss_cl: -0.3678 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [11:19:55.947423] Epoch: [388] [760/850] eta: 0:01:18 lr: 0.001354 loss: 0.0128 (0.0123) loss_rec_all: 0.0489 (0.0486) loss_rec_sfr: 0.0830 (0.0683) loss_cl: -0.3684 (-0.3674) time: 0.8646 data: 0.0002 max mem: 29859 [11:20:13.187995] Epoch: [388] [780/850] eta: 0:01:00 lr: 0.001354 loss: 0.0119 (0.0123) loss_rec_all: 0.0482 (0.0486) loss_rec_sfr: 0.0684 (0.0683) loss_cl: -0.3678 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [11:20:30.476311] Epoch: [388] [800/850] eta: 0:00:43 lr: 0.001354 loss: 0.0109 (0.0123) loss_rec_all: 0.0472 (0.0485) loss_rec_sfr: 0.0687 (0.0683) loss_cl: -0.3678 (-0.3674) time: 0.8644 data: 0.0002 max mem: 29859 [11:20:47.732325] Epoch: [388] [820/850] eta: 0:00:26 lr: 0.001354 loss: 0.0104 (0.0123) loss_rec_all: 0.0468 (0.0485) loss_rec_sfr: 0.0477 (0.0682) loss_cl: -0.3675 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [11:21:05.042538] Epoch: [388] [840/850] eta: 0:00:08 lr: 0.001353 loss: 0.0113 (0.0122) loss_rec_all: 0.0475 (0.0485) loss_rec_sfr: 0.0578 (0.0681) loss_cl: -0.3677 (-0.3674) time: 0.8655 data: 0.0011 max mem: 29859 [11:21:12.801370] Epoch: [388] [849/850] eta: 0:00:00 lr: 0.001353 loss: 0.0112 (0.0122) loss_rec_all: 0.0476 (0.0485) loss_rec_sfr: 0.0480 (0.0680) loss_cl: -0.3677 (-0.3674) time: 0.8649 data: 0.0011 max mem: 29859 [11:21:12.941393] Epoch: [388] Total time: 0:12:18 (0.8693 s / it) [11:21:12.944266] Averaged stats: lr: 0.001353 loss: 0.0112 (0.0122) loss_rec_all: 0.0476 (0.0484) loss_rec_sfr: 0.0480 (0.0673) loss_cl: -0.3677 (-0.3674) [11:21:12.956304] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [11:21:18.292443] Epoch: [389] [ 0/850] eta: 1:15:34 lr: 0.001353 loss: 0.0144 (0.0144) loss_rec_all: 0.0507 (0.0507) loss_rec_sfr: 0.0683 (0.0683) loss_cl: -0.3673 (-0.3673) time: 5.3347 data: 4.4770 max mem: 29859 [11:21:35.516726] Epoch: [389] [ 20/850] eta: 0:14:51 lr: 0.001353 loss: 0.0107 (0.0111) loss_rec_all: 0.0470 (0.0474) loss_rec_sfr: 0.0489 (0.0598) loss_cl: -0.3673 (-0.3674) time: 0.8612 data: 0.0002 max mem: 29859 [11:21:52.793315] Epoch: [389] [ 40/850] eta: 0:13:06 lr: 0.001353 loss: 0.0111 (0.0111) loss_rec_all: 0.0472 (0.0474) loss_rec_sfr: 0.0673 (0.0631) loss_cl: -0.3681 (-0.3677) time: 0.8638 data: 0.0002 max mem: 29859 [11:22:10.024109] Epoch: [389] [ 60/850] eta: 0:12:19 lr: 0.001353 loss: 0.0099 (0.0110) loss_rec_all: 0.0464 (0.0473) loss_rec_sfr: 0.0540 (0.0638) loss_cl: -0.3680 (-0.3677) time: 0.8615 data: 0.0002 max mem: 29859 [11:22:27.305273] Epoch: [389] [ 80/850] eta: 0:11:46 lr: 0.001353 loss: 0.0110 (0.0110) loss_rec_all: 0.0472 (0.0473) loss_rec_sfr: 0.0653 (0.0647) loss_cl: -0.3670 (-0.3675) time: 0.8640 data: 0.0002 max mem: 29859 [11:22:44.555798] Epoch: [389] [100/850] eta: 0:11:20 lr: 0.001353 loss: 0.0114 (0.0113) loss_rec_all: 0.0477 (0.0475) loss_rec_sfr: 0.0678 (0.0663) loss_cl: -0.3663 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [11:23:01.811962] Epoch: [389] [120/850] eta: 0:10:56 lr: 0.001353 loss: 0.0114 (0.0113) loss_rec_all: 0.0475 (0.0476) loss_rec_sfr: 0.0678 (0.0662) loss_cl: -0.3667 (-0.3672) time: 0.8628 data: 0.0002 max mem: 29859 [11:23:19.049299] Epoch: [389] [140/850] eta: 0:10:34 lr: 0.001353 loss: 0.0111 (0.0114) loss_rec_all: 0.0472 (0.0476) loss_rec_sfr: 0.0637 (0.0660) loss_cl: -0.3672 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [11:23:36.342863] Epoch: [389] [160/850] eta: 0:10:14 lr: 0.001352 loss: 0.0108 (0.0114) loss_rec_all: 0.0473 (0.0476) loss_rec_sfr: 0.0515 (0.0655) loss_cl: -0.3676 (-0.3672) time: 0.8646 data: 0.0002 max mem: 29859 [11:23:53.577315] Epoch: [389] [180/850] eta: 0:09:54 lr: 0.001352 loss: 0.0117 (0.0115) loss_rec_all: 0.0479 (0.0477) loss_rec_sfr: 0.0548 (0.0657) loss_cl: -0.3677 (-0.3672) time: 0.8617 data: 0.0002 max mem: 29859 [11:24:10.877075] Epoch: [389] [200/850] eta: 0:09:35 lr: 0.001352 loss: 0.0117 (0.0116) loss_rec_all: 0.0479 (0.0478) loss_rec_sfr: 0.0707 (0.0663) loss_cl: -0.3671 (-0.3672) time: 0.8649 data: 0.0002 max mem: 29859 [11:24:28.114019] Epoch: [389] [220/850] eta: 0:09:16 lr: 0.001352 loss: 0.0116 (0.0116) loss_rec_all: 0.0478 (0.0479) loss_rec_sfr: 0.0731 (0.0671) loss_cl: -0.3671 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [11:24:45.399913] Epoch: [389] [240/850] eta: 0:08:57 lr: 0.001352 loss: 0.0119 (0.0117) loss_rec_all: 0.0482 (0.0479) loss_rec_sfr: 0.0671 (0.0674) loss_cl: -0.3670 (-0.3672) time: 0.8642 data: 0.0002 max mem: 29859 [11:25:02.632191] Epoch: [389] [260/850] eta: 0:08:39 lr: 0.001352 loss: 0.0101 (0.0116) loss_rec_all: 0.0466 (0.0479) loss_rec_sfr: 0.0490 (0.0665) loss_cl: -0.3677 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [11:25:19.896200] Epoch: [389] [280/850] eta: 0:08:20 lr: 0.001352 loss: 0.0115 (0.0116) loss_rec_all: 0.0477 (0.0479) loss_rec_sfr: 0.0684 (0.0669) loss_cl: -0.3675 (-0.3672) time: 0.8631 data: 0.0002 max mem: 29859 [11:25:37.118100] Epoch: [389] [300/850] eta: 0:08:02 lr: 0.001352 loss: 0.0103 (0.0116) loss_rec_all: 0.0467 (0.0478) loss_rec_sfr: 0.0502 (0.0666) loss_cl: -0.3677 (-0.3673) time: 0.8610 data: 0.0002 max mem: 29859 [11:25:54.378778] Epoch: [389] [320/850] eta: 0:07:44 lr: 0.001351 loss: 0.0110 (0.0116) loss_rec_all: 0.0475 (0.0478) loss_rec_sfr: 0.0679 (0.0668) loss_cl: -0.3678 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [11:26:11.603525] Epoch: [389] [340/850] eta: 0:07:26 lr: 0.001351 loss: 0.0111 (0.0116) loss_rec_all: 0.0474 (0.0478) loss_rec_sfr: 0.0617 (0.0666) loss_cl: -0.3675 (-0.3673) time: 0.8612 data: 0.0002 max mem: 29859 [11:26:28.861145] Epoch: [389] [360/850] eta: 0:07:08 lr: 0.001351 loss: 0.0117 (0.0115) loss_rec_all: 0.0478 (0.0478) loss_rec_sfr: 0.0680 (0.0669) loss_cl: -0.3676 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [11:26:46.097806] Epoch: [389] [380/850] eta: 0:06:50 lr: 0.001351 loss: 0.0110 (0.0115) loss_rec_all: 0.0471 (0.0478) loss_rec_sfr: 0.0689 (0.0671) loss_cl: -0.3677 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [11:27:03.392941] Epoch: [389] [400/850] eta: 0:06:33 lr: 0.001351 loss: 0.0134 (0.0116) loss_rec_all: 0.0494 (0.0479) loss_rec_sfr: 0.0691 (0.0673) loss_cl: -0.3675 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [11:27:20.652174] Epoch: [389] [420/850] eta: 0:06:15 lr: 0.001351 loss: 0.0130 (0.0117) loss_rec_all: 0.0492 (0.0479) loss_rec_sfr: 0.0717 (0.0677) loss_cl: -0.3677 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [11:27:37.920061] Epoch: [389] [440/850] eta: 0:05:57 lr: 0.001351 loss: 0.0140 (0.0118) loss_rec_all: 0.0499 (0.0480) loss_rec_sfr: 0.0693 (0.0679) loss_cl: -0.3673 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [11:27:55.160118] Epoch: [389] [460/850] eta: 0:05:40 lr: 0.001351 loss: 0.0127 (0.0119) loss_rec_all: 0.0489 (0.0481) loss_rec_sfr: 0.0705 (0.0679) loss_cl: -0.3671 (-0.3673) time: 0.8620 data: 0.0002 max mem: 29859 [11:28:12.423699] Epoch: [389] [480/850] eta: 0:05:22 lr: 0.001351 loss: 0.0121 (0.0119) loss_rec_all: 0.0484 (0.0482) loss_rec_sfr: 0.0757 (0.0683) loss_cl: -0.3672 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [11:28:29.657141] Epoch: [389] [500/850] eta: 0:05:05 lr: 0.001350 loss: 0.0119 (0.0119) loss_rec_all: 0.0480 (0.0482) loss_rec_sfr: 0.0573 (0.0683) loss_cl: -0.3677 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [11:28:46.951584] Epoch: [389] [520/850] eta: 0:04:47 lr: 0.001350 loss: 0.0105 (0.0119) loss_rec_all: 0.0468 (0.0482) loss_rec_sfr: 0.0542 (0.0682) loss_cl: -0.3674 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [11:29:04.194535] Epoch: [389] [540/850] eta: 0:04:30 lr: 0.001350 loss: 0.0104 (0.0119) loss_rec_all: 0.0468 (0.0481) loss_rec_sfr: 0.0496 (0.0678) loss_cl: -0.3674 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [11:29:21.486873] Epoch: [389] [560/850] eta: 0:04:12 lr: 0.001350 loss: 0.0104 (0.0118) loss_rec_all: 0.0468 (0.0481) loss_rec_sfr: 0.0452 (0.0674) loss_cl: -0.3670 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [11:29:38.747258] Epoch: [389] [580/850] eta: 0:03:55 lr: 0.001350 loss: 0.0114 (0.0118) loss_rec_all: 0.0475 (0.0481) loss_rec_sfr: 0.0646 (0.0675) loss_cl: -0.3670 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [11:29:56.031944] Epoch: [389] [600/850] eta: 0:03:37 lr: 0.001350 loss: 0.0110 (0.0118) loss_rec_all: 0.0474 (0.0481) loss_rec_sfr: 0.0521 (0.0673) loss_cl: -0.3671 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [11:30:13.267541] Epoch: [389] [620/850] eta: 0:03:20 lr: 0.001350 loss: 0.0115 (0.0118) loss_rec_all: 0.0480 (0.0481) loss_rec_sfr: 0.0522 (0.0672) loss_cl: -0.3676 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [11:30:30.543314] Epoch: [389] [640/850] eta: 0:03:02 lr: 0.001350 loss: 0.0120 (0.0118) loss_rec_all: 0.0481 (0.0481) loss_rec_sfr: 0.0715 (0.0675) loss_cl: -0.3680 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [11:30:47.787768] Epoch: [389] [660/850] eta: 0:02:45 lr: 0.001350 loss: 0.0111 (0.0118) loss_rec_all: 0.0474 (0.0480) loss_rec_sfr: 0.0535 (0.0676) loss_cl: -0.3678 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [11:31:05.065244] Epoch: [389] [680/850] eta: 0:02:27 lr: 0.001349 loss: 0.0121 (0.0118) loss_rec_all: 0.0484 (0.0481) loss_rec_sfr: 0.0659 (0.0676) loss_cl: -0.3676 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [11:31:22.313673] Epoch: [389] [700/850] eta: 0:02:10 lr: 0.001349 loss: 0.0118 (0.0118) loss_rec_all: 0.0482 (0.0481) loss_rec_sfr: 0.0526 (0.0675) loss_cl: -0.3681 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [11:31:39.581515] Epoch: [389] [720/850] eta: 0:01:52 lr: 0.001349 loss: 0.0112 (0.0118) loss_rec_all: 0.0474 (0.0481) loss_rec_sfr: 0.0519 (0.0675) loss_cl: -0.3676 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [11:31:56.835491] Epoch: [389] [740/850] eta: 0:01:35 lr: 0.001349 loss: 0.0120 (0.0118) loss_rec_all: 0.0482 (0.0481) loss_rec_sfr: 0.0779 (0.0677) loss_cl: -0.3675 (-0.3674) time: 0.8626 data: 0.0002 max mem: 29859 [11:32:14.135345] Epoch: [389] [760/850] eta: 0:01:18 lr: 0.001349 loss: 0.0122 (0.0118) loss_rec_all: 0.0484 (0.0481) loss_rec_sfr: 0.0812 (0.0679) loss_cl: -0.3676 (-0.3674) time: 0.8649 data: 0.0002 max mem: 29859 [11:32:31.383279] Epoch: [389] [780/850] eta: 0:01:00 lr: 0.001349 loss: 0.0112 (0.0118) loss_rec_all: 0.0476 (0.0481) loss_rec_sfr: 0.0536 (0.0679) loss_cl: -0.3673 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [11:32:48.710497] Epoch: [389] [800/850] eta: 0:00:43 lr: 0.001349 loss: 0.0105 (0.0118) loss_rec_all: 0.0469 (0.0481) loss_rec_sfr: 0.0494 (0.0678) loss_cl: -0.3675 (-0.3674) time: 0.8663 data: 0.0002 max mem: 29859 [11:33:05.957834] Epoch: [389] [820/850] eta: 0:00:26 lr: 0.001349 loss: 0.0114 (0.0118) loss_rec_all: 0.0475 (0.0481) loss_rec_sfr: 0.0688 (0.0678) loss_cl: -0.3671 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [11:33:23.252939] Epoch: [389] [840/850] eta: 0:00:08 lr: 0.001348 loss: 0.0110 (0.0118) loss_rec_all: 0.0472 (0.0481) loss_rec_sfr: 0.0660 (0.0679) loss_cl: -0.3667 (-0.3674) time: 0.8647 data: 0.0005 max mem: 29859 [11:33:31.005111] Epoch: [389] [849/850] eta: 0:00:00 lr: 0.001348 loss: 0.0118 (0.0118) loss_rec_all: 0.0481 (0.0481) loss_rec_sfr: 0.0701 (0.0679) loss_cl: -0.3671 (-0.3674) time: 0.8640 data: 0.0005 max mem: 29859 [11:33:31.149335] Epoch: [389] Total time: 0:12:18 (0.8685 s / it) [11:33:31.150781] Averaged stats: lr: 0.001348 loss: 0.0118 (0.0118) loss_rec_all: 0.0481 (0.0481) loss_rec_sfr: 0.0701 (0.0666) loss_cl: -0.3671 (-0.3673) [11:33:31.159906] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [11:33:36.430966] Epoch: [390] [ 0/850] eta: 1:14:39 lr: 0.001348 loss: 0.0098 (0.0098) loss_rec_all: 0.0461 (0.0461) loss_rec_sfr: 0.0470 (0.0470) loss_cl: -0.3669 (-0.3669) time: 5.2703 data: 4.4159 max mem: 29859 [11:33:53.649694] Epoch: [390] [ 20/850] eta: 0:14:48 lr: 0.001348 loss: 0.0103 (0.0108) loss_rec_all: 0.0466 (0.0471) loss_rec_sfr: 0.0497 (0.0623) loss_cl: -0.3672 (-0.3672) time: 0.8609 data: 0.0003 max mem: 29859 [11:34:10.948447] Epoch: [390] [ 40/850] eta: 0:13:06 lr: 0.001348 loss: 0.0116 (0.0115) loss_rec_all: 0.0476 (0.0477) loss_rec_sfr: 0.0679 (0.0657) loss_cl: -0.3669 (-0.3670) time: 0.8649 data: 0.0002 max mem: 29859 [11:34:28.194276] Epoch: [390] [ 60/850] eta: 0:12:18 lr: 0.001348 loss: 0.0120 (0.0118) loss_rec_all: 0.0483 (0.0480) loss_rec_sfr: 0.0688 (0.0674) loss_cl: -0.3673 (-0.3670) time: 0.8622 data: 0.0002 max mem: 29859 [11:34:45.481866] Epoch: [390] [ 80/850] eta: 0:11:46 lr: 0.001348 loss: 0.0122 (0.0120) loss_rec_all: 0.0485 (0.0482) loss_rec_sfr: 0.0776 (0.0700) loss_cl: -0.3671 (-0.3670) time: 0.8643 data: 0.0002 max mem: 29859 [11:35:02.727205] Epoch: [390] [100/850] eta: 0:11:19 lr: 0.001348 loss: 0.0106 (0.0119) loss_rec_all: 0.0470 (0.0481) loss_rec_sfr: 0.0543 (0.0692) loss_cl: -0.3672 (-0.3670) time: 0.8622 data: 0.0002 max mem: 29859 [11:35:20.008821] Epoch: [390] [120/850] eta: 0:10:56 lr: 0.001348 loss: 0.0115 (0.0119) loss_rec_all: 0.0480 (0.0481) loss_rec_sfr: 0.0495 (0.0675) loss_cl: -0.3669 (-0.3670) time: 0.8640 data: 0.0002 max mem: 29859 [11:35:37.258211] Epoch: [390] [140/850] eta: 0:10:34 lr: 0.001348 loss: 0.0111 (0.0118) loss_rec_all: 0.0475 (0.0481) loss_rec_sfr: 0.0503 (0.0672) loss_cl: -0.3679 (-0.3671) time: 0.8624 data: 0.0002 max mem: 29859 [11:35:54.556394] Epoch: [390] [160/850] eta: 0:10:14 lr: 0.001348 loss: 0.0108 (0.0118) loss_rec_all: 0.0473 (0.0481) loss_rec_sfr: 0.0501 (0.0669) loss_cl: -0.3686 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [11:36:11.793762] Epoch: [390] [180/850] eta: 0:09:54 lr: 0.001347 loss: 0.0111 (0.0118) loss_rec_all: 0.0475 (0.0480) loss_rec_sfr: 0.0688 (0.0667) loss_cl: -0.3681 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [11:36:29.130527] Epoch: [390] [200/850] eta: 0:09:35 lr: 0.001347 loss: 0.0110 (0.0117) loss_rec_all: 0.0472 (0.0480) loss_rec_sfr: 0.0499 (0.0662) loss_cl: -0.3676 (-0.3674) time: 0.8668 data: 0.0002 max mem: 29859 [11:36:46.374364] Epoch: [390] [220/850] eta: 0:09:16 lr: 0.001347 loss: 0.0106 (0.0117) loss_rec_all: 0.0466 (0.0480) loss_rec_sfr: 0.0643 (0.0664) loss_cl: -0.3674 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [11:37:03.669226] Epoch: [390] [240/850] eta: 0:08:57 lr: 0.001347 loss: 0.0098 (0.0116) loss_rec_all: 0.0464 (0.0479) loss_rec_sfr: 0.0469 (0.0656) loss_cl: -0.3677 (-0.3674) time: 0.8647 data: 0.0002 max mem: 29859 [11:37:20.924258] Epoch: [390] [260/850] eta: 0:08:39 lr: 0.001347 loss: 0.0103 (0.0115) loss_rec_all: 0.0467 (0.0478) loss_rec_sfr: 0.0510 (0.0653) loss_cl: -0.3677 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [11:37:38.204713] Epoch: [390] [280/850] eta: 0:08:21 lr: 0.001347 loss: 0.0104 (0.0115) loss_rec_all: 0.0465 (0.0478) loss_rec_sfr: 0.0680 (0.0656) loss_cl: -0.3672 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [11:37:55.471882] Epoch: [390] [300/850] eta: 0:08:02 lr: 0.001347 loss: 0.0102 (0.0115) loss_rec_all: 0.0466 (0.0478) loss_rec_sfr: 0.0507 (0.0656) loss_cl: -0.3670 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [11:38:12.788689] Epoch: [390] [320/850] eta: 0:07:44 lr: 0.001347 loss: 0.0107 (0.0115) loss_rec_all: 0.0472 (0.0478) loss_rec_sfr: 0.0485 (0.0655) loss_cl: -0.3669 (-0.3674) time: 0.8658 data: 0.0002 max mem: 29859 [11:38:30.032629] Epoch: [390] [340/850] eta: 0:07:26 lr: 0.001346 loss: 0.0116 (0.0115) loss_rec_all: 0.0477 (0.0478) loss_rec_sfr: 0.0657 (0.0655) loss_cl: -0.3669 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [11:38:47.323695] Epoch: [390] [360/850] eta: 0:07:09 lr: 0.001346 loss: 0.0113 (0.0115) loss_rec_all: 0.0475 (0.0478) loss_rec_sfr: 0.0516 (0.0656) loss_cl: -0.3670 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [11:39:04.585325] Epoch: [390] [380/850] eta: 0:06:51 lr: 0.001346 loss: 0.0110 (0.0115) loss_rec_all: 0.0470 (0.0478) loss_rec_sfr: 0.0500 (0.0657) loss_cl: -0.3670 (-0.3673) time: 0.8630 data: 0.0002 max mem: 29859 [11:39:21.884301] Epoch: [390] [400/850] eta: 0:06:33 lr: 0.001346 loss: 0.0133 (0.0116) loss_rec_all: 0.0494 (0.0479) loss_rec_sfr: 0.0702 (0.0660) loss_cl: -0.3675 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [11:39:39.173677] Epoch: [390] [420/850] eta: 0:06:15 lr: 0.001346 loss: 0.0116 (0.0116) loss_rec_all: 0.0479 (0.0479) loss_rec_sfr: 0.0515 (0.0660) loss_cl: -0.3678 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [11:39:56.453676] Epoch: [390] [440/850] eta: 0:05:58 lr: 0.001346 loss: 0.0109 (0.0116) loss_rec_all: 0.0471 (0.0479) loss_rec_sfr: 0.0478 (0.0657) loss_cl: -0.3677 (-0.3673) time: 0.8640 data: 0.0002 max mem: 29859 [11:40:13.699543] Epoch: [390] [460/850] eta: 0:05:40 lr: 0.001346 loss: 0.0118 (0.0116) loss_rec_all: 0.0479 (0.0479) loss_rec_sfr: 0.0492 (0.0654) loss_cl: -0.3671 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [11:40:30.979493] Epoch: [390] [480/850] eta: 0:05:22 lr: 0.001346 loss: 0.0110 (0.0116) loss_rec_all: 0.0471 (0.0479) loss_rec_sfr: 0.0636 (0.0656) loss_cl: -0.3671 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [11:40:48.221663] Epoch: [390] [500/850] eta: 0:05:05 lr: 0.001346 loss: 0.0112 (0.0116) loss_rec_all: 0.0476 (0.0479) loss_rec_sfr: 0.0654 (0.0657) loss_cl: -0.3673 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [11:41:05.484276] Epoch: [390] [520/850] eta: 0:04:47 lr: 0.001345 loss: 0.0100 (0.0115) loss_rec_all: 0.0464 (0.0478) loss_rec_sfr: 0.0458 (0.0652) loss_cl: -0.3678 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [11:41:22.740634] Epoch: [390] [540/850] eta: 0:04:30 lr: 0.001345 loss: 0.0116 (0.0116) loss_rec_all: 0.0479 (0.0478) loss_rec_sfr: 0.0695 (0.0653) loss_cl: -0.3678 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [11:41:40.034037] Epoch: [390] [560/850] eta: 0:04:12 lr: 0.001345 loss: 0.0105 (0.0115) loss_rec_all: 0.0470 (0.0478) loss_rec_sfr: 0.0474 (0.0651) loss_cl: -0.3678 (-0.3674) time: 0.8646 data: 0.0002 max mem: 29859 [11:41:57.291212] Epoch: [390] [580/850] eta: 0:03:55 lr: 0.001345 loss: 0.0113 (0.0115) loss_rec_all: 0.0474 (0.0478) loss_rec_sfr: 0.0552 (0.0652) loss_cl: -0.3677 (-0.3674) time: 0.8628 data: 0.0003 max mem: 29859 [11:42:14.580751] Epoch: [390] [600/850] eta: 0:03:37 lr: 0.001345 loss: 0.0118 (0.0116) loss_rec_all: 0.0480 (0.0478) loss_rec_sfr: 0.0757 (0.0655) loss_cl: -0.3673 (-0.3674) time: 0.8644 data: 0.0002 max mem: 29859 [11:42:31.845753] Epoch: [390] [620/850] eta: 0:03:20 lr: 0.001345 loss: 0.0104 (0.0115) loss_rec_all: 0.0467 (0.0478) loss_rec_sfr: 0.0478 (0.0652) loss_cl: -0.3670 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [11:42:49.160547] Epoch: [390] [640/850] eta: 0:03:02 lr: 0.001345 loss: 0.0120 (0.0116) loss_rec_all: 0.0481 (0.0478) loss_rec_sfr: 0.0557 (0.0652) loss_cl: -0.3667 (-0.3673) time: 0.8657 data: 0.0002 max mem: 29859 [11:43:06.415833] Epoch: [390] [660/850] eta: 0:02:45 lr: 0.001345 loss: 0.0119 (0.0116) loss_rec_all: 0.0483 (0.0479) loss_rec_sfr: 0.0530 (0.0651) loss_cl: -0.3668 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [11:43:23.736505] Epoch: [390] [680/850] eta: 0:02:27 lr: 0.001344 loss: 0.0115 (0.0116) loss_rec_all: 0.0475 (0.0479) loss_rec_sfr: 0.0488 (0.0650) loss_cl: -0.3674 (-0.3673) time: 0.8660 data: 0.0002 max mem: 29859 [11:43:40.993694] Epoch: [390] [700/850] eta: 0:02:10 lr: 0.001344 loss: 0.0121 (0.0116) loss_rec_all: 0.0483 (0.0479) loss_rec_sfr: 0.0691 (0.0652) loss_cl: -0.3681 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [11:43:58.306828] Epoch: [390] [720/850] eta: 0:01:53 lr: 0.001344 loss: 0.0107 (0.0116) loss_rec_all: 0.0471 (0.0479) loss_rec_sfr: 0.0498 (0.0652) loss_cl: -0.3677 (-0.3674) time: 0.8656 data: 0.0002 max mem: 29859 [11:44:15.573774] Epoch: [390] [740/850] eta: 0:01:35 lr: 0.001344 loss: 0.0108 (0.0116) loss_rec_all: 0.0471 (0.0479) loss_rec_sfr: 0.0668 (0.0653) loss_cl: -0.3676 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [11:44:32.870730] Epoch: [390] [760/850] eta: 0:01:18 lr: 0.001344 loss: 0.0116 (0.0116) loss_rec_all: 0.0478 (0.0479) loss_rec_sfr: 0.0502 (0.0654) loss_cl: -0.3671 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [11:44:50.120102] Epoch: [390] [780/850] eta: 0:01:00 lr: 0.001344 loss: 0.0111 (0.0116) loss_rec_all: 0.0476 (0.0479) loss_rec_sfr: 0.0481 (0.0654) loss_cl: -0.3669 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [11:45:07.505005] Epoch: [390] [800/850] eta: 0:00:43 lr: 0.001344 loss: 0.0105 (0.0116) loss_rec_all: 0.0467 (0.0478) loss_rec_sfr: 0.0491 (0.0652) loss_cl: -0.3672 (-0.3673) time: 0.8692 data: 0.0002 max mem: 29859 [11:45:24.756929] Epoch: [390] [820/850] eta: 0:00:26 lr: 0.001344 loss: 0.0108 (0.0116) loss_rec_all: 0.0472 (0.0478) loss_rec_sfr: 0.0540 (0.0652) loss_cl: -0.3677 (-0.3673) time: 0.8625 data: 0.0002 max mem: 29859 [11:45:42.031942] Epoch: [390] [840/850] eta: 0:00:08 lr: 0.001344 loss: 0.0103 (0.0115) loss_rec_all: 0.0467 (0.0478) loss_rec_sfr: 0.0514 (0.0651) loss_cl: -0.3676 (-0.3673) time: 0.8637 data: 0.0005 max mem: 29859 [11:45:49.785967] Epoch: [390] [849/850] eta: 0:00:00 lr: 0.001344 loss: 0.0108 (0.0115) loss_rec_all: 0.0471 (0.0478) loss_rec_sfr: 0.0654 (0.0651) loss_cl: -0.3674 (-0.3674) time: 0.8633 data: 0.0004 max mem: 29859 [11:45:49.939405] Epoch: [390] Total time: 0:12:18 (0.8692 s / it) [11:45:49.942001] Averaged stats: lr: 0.001344 loss: 0.0108 (0.0115) loss_rec_all: 0.0471 (0.0478) loss_rec_sfr: 0.0654 (0.0650) loss_cl: -0.3674 (-0.3674) [11:45:49.975839] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [11:45:55.773790] Epoch: [391] [ 0/850] eta: 1:22:07 lr: 0.001344 loss: 0.0117 (0.0117) loss_rec_all: 0.0480 (0.0480) loss_rec_sfr: 0.0667 (0.0667) loss_cl: -0.3675 (-0.3675) time: 5.7971 data: 4.9427 max mem: 29859 [11:46:12.988359] Epoch: [391] [ 20/850] eta: 0:15:09 lr: 0.001343 loss: 0.0121 (0.0120) loss_rec_all: 0.0481 (0.0482) loss_rec_sfr: 0.0667 (0.0688) loss_cl: -0.3672 (-0.3673) time: 0.8607 data: 0.0002 max mem: 29859 [11:46:30.264255] Epoch: [391] [ 40/850] eta: 0:13:15 lr: 0.001343 loss: 0.0112 (0.0117) loss_rec_all: 0.0475 (0.0480) loss_rec_sfr: 0.0517 (0.0662) loss_cl: -0.3674 (-0.3673) time: 0.8637 data: 0.0002 max mem: 29859 [11:46:47.509242] Epoch: [391] [ 60/850] eta: 0:12:25 lr: 0.001343 loss: 0.0116 (0.0121) loss_rec_all: 0.0479 (0.0484) loss_rec_sfr: 0.0569 (0.0665) loss_cl: -0.3672 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [11:47:04.789342] Epoch: [391] [ 80/850] eta: 0:11:51 lr: 0.001343 loss: 0.0158 (0.0131) loss_rec_all: 0.0518 (0.0494) loss_rec_sfr: 0.0551 (0.0668) loss_cl: -0.3672 (-0.3672) time: 0.8639 data: 0.0002 max mem: 29859 [11:47:22.027297] Epoch: [391] [100/850] eta: 0:11:23 lr: 0.001343 loss: 0.0146 (0.0136) loss_rec_all: 0.0510 (0.0499) loss_rec_sfr: 0.0549 (0.0668) loss_cl: -0.3673 (-0.3672) time: 0.8618 data: 0.0002 max mem: 29859 [11:47:39.314978] Epoch: [391] [120/850] eta: 0:10:59 lr: 0.001343 loss: 0.0131 (0.0136) loss_rec_all: 0.0495 (0.0499) loss_rec_sfr: 0.0520 (0.0660) loss_cl: -0.3675 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [11:47:56.568198] Epoch: [391] [140/850] eta: 0:10:37 lr: 0.001343 loss: 0.0149 (0.0139) loss_rec_all: 0.0509 (0.0501) loss_rec_sfr: 0.0751 (0.0672) loss_cl: -0.3675 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [11:48:13.881298] Epoch: [391] [160/850] eta: 0:10:16 lr: 0.001343 loss: 0.0135 (0.0139) loss_rec_all: 0.0496 (0.0502) loss_rec_sfr: 0.0548 (0.0675) loss_cl: -0.3673 (-0.3673) time: 0.8656 data: 0.0002 max mem: 29859 [11:48:31.143804] Epoch: [391] [180/850] eta: 0:09:56 lr: 0.001342 loss: 0.0116 (0.0137) loss_rec_all: 0.0478 (0.0499) loss_rec_sfr: 0.0509 (0.0670) loss_cl: -0.3679 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [11:48:48.426453] Epoch: [391] [200/850] eta: 0:09:37 lr: 0.001342 loss: 0.0121 (0.0136) loss_rec_all: 0.0483 (0.0499) loss_rec_sfr: 0.0520 (0.0674) loss_cl: -0.3677 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [11:49:05.680186] Epoch: [391] [220/850] eta: 0:09:17 lr: 0.001342 loss: 0.0119 (0.0135) loss_rec_all: 0.0481 (0.0497) loss_rec_sfr: 0.0714 (0.0679) loss_cl: -0.3677 (-0.3674) time: 0.8626 data: 0.0002 max mem: 29859 [11:49:22.982031] Epoch: [391] [240/850] eta: 0:08:59 lr: 0.001342 loss: 0.0110 (0.0133) loss_rec_all: 0.0472 (0.0496) loss_rec_sfr: 0.0703 (0.0682) loss_cl: -0.3672 (-0.3674) time: 0.8650 data: 0.0002 max mem: 29859 [11:49:40.260050] Epoch: [391] [260/850] eta: 0:08:40 lr: 0.001342 loss: 0.0114 (0.0132) loss_rec_all: 0.0477 (0.0494) loss_rec_sfr: 0.0504 (0.0677) loss_cl: -0.3671 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [11:49:57.584144] Epoch: [391] [280/850] eta: 0:08:22 lr: 0.001342 loss: 0.0102 (0.0130) loss_rec_all: 0.0466 (0.0492) loss_rec_sfr: 0.0498 (0.0674) loss_cl: -0.3672 (-0.3674) time: 0.8662 data: 0.0002 max mem: 29859 [11:50:14.851602] Epoch: [391] [300/850] eta: 0:08:03 lr: 0.001342 loss: 0.0112 (0.0129) loss_rec_all: 0.0472 (0.0491) loss_rec_sfr: 0.0641 (0.0673) loss_cl: -0.3672 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [11:50:32.148820] Epoch: [391] [320/850] eta: 0:07:45 lr: 0.001342 loss: 0.0103 (0.0127) loss_rec_all: 0.0467 (0.0490) loss_rec_sfr: 0.0512 (0.0674) loss_cl: -0.3675 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [11:50:49.396115] Epoch: [391] [340/850] eta: 0:07:27 lr: 0.001342 loss: 0.0108 (0.0127) loss_rec_all: 0.0473 (0.0489) loss_rec_sfr: 0.0511 (0.0670) loss_cl: -0.3672 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [11:51:06.691461] Epoch: [391] [360/850] eta: 0:07:09 lr: 0.001341 loss: 0.0115 (0.0126) loss_rec_all: 0.0478 (0.0489) loss_rec_sfr: 0.0543 (0.0668) loss_cl: -0.3674 (-0.3674) time: 0.8647 data: 0.0002 max mem: 29859 [11:51:23.958244] Epoch: [391] [380/850] eta: 0:06:51 lr: 0.001341 loss: 0.0111 (0.0125) loss_rec_all: 0.0474 (0.0488) loss_rec_sfr: 0.0689 (0.0670) loss_cl: -0.3673 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [11:51:41.256929] Epoch: [391] [400/850] eta: 0:06:34 lr: 0.001341 loss: 0.0102 (0.0124) loss_rec_all: 0.0464 (0.0487) loss_rec_sfr: 0.0491 (0.0666) loss_cl: -0.3677 (-0.3674) time: 0.8649 data: 0.0002 max mem: 29859 [11:51:58.535236] Epoch: [391] [420/850] eta: 0:06:16 lr: 0.001341 loss: 0.0104 (0.0124) loss_rec_all: 0.0469 (0.0486) loss_rec_sfr: 0.0648 (0.0666) loss_cl: -0.3684 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [11:52:15.844572] Epoch: [391] [440/850] eta: 0:05:58 lr: 0.001341 loss: 0.0106 (0.0123) loss_rec_all: 0.0469 (0.0486) loss_rec_sfr: 0.0471 (0.0664) loss_cl: -0.3680 (-0.3674) time: 0.8654 data: 0.0002 max mem: 29859 [11:52:33.099127] Epoch: [391] [460/850] eta: 0:05:41 lr: 0.001341 loss: 0.0120 (0.0123) loss_rec_all: 0.0483 (0.0486) loss_rec_sfr: 0.0609 (0.0666) loss_cl: -0.3666 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [11:52:50.406337] Epoch: [391] [480/850] eta: 0:05:23 lr: 0.001341 loss: 0.0105 (0.0122) loss_rec_all: 0.0469 (0.0485) loss_rec_sfr: 0.0504 (0.0664) loss_cl: -0.3666 (-0.3674) time: 0.8653 data: 0.0002 max mem: 29859 [11:53:07.664210] Epoch: [391] [500/850] eta: 0:05:05 lr: 0.001341 loss: 0.0107 (0.0122) loss_rec_all: 0.0470 (0.0485) loss_rec_sfr: 0.0478 (0.0660) loss_cl: -0.3667 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [11:53:25.049094] Epoch: [391] [520/850] eta: 0:04:48 lr: 0.001340 loss: 0.0125 (0.0122) loss_rec_all: 0.0485 (0.0485) loss_rec_sfr: 0.0816 (0.0664) loss_cl: -0.3667 (-0.3673) time: 0.8692 data: 0.0002 max mem: 29859 [11:53:42.308805] Epoch: [391] [540/850] eta: 0:04:30 lr: 0.001340 loss: 0.0126 (0.0122) loss_rec_all: 0.0486 (0.0485) loss_rec_sfr: 0.0838 (0.0670) loss_cl: -0.3669 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [11:53:59.595766] Epoch: [391] [560/850] eta: 0:04:13 lr: 0.001340 loss: 0.0107 (0.0121) loss_rec_all: 0.0471 (0.0484) loss_rec_sfr: 0.0504 (0.0668) loss_cl: -0.3679 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [11:54:16.865686] Epoch: [391] [580/850] eta: 0:03:55 lr: 0.001340 loss: 0.0113 (0.0122) loss_rec_all: 0.0475 (0.0484) loss_rec_sfr: 0.0539 (0.0669) loss_cl: -0.3678 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [11:54:34.189402] Epoch: [391] [600/850] eta: 0:03:38 lr: 0.001340 loss: 0.0117 (0.0122) loss_rec_all: 0.0481 (0.0485) loss_rec_sfr: 0.0566 (0.0667) loss_cl: -0.3678 (-0.3674) time: 0.8661 data: 0.0002 max mem: 29859 [11:54:51.457901] Epoch: [391] [620/850] eta: 0:03:20 lr: 0.001340 loss: 0.0130 (0.0122) loss_rec_all: 0.0491 (0.0485) loss_rec_sfr: 0.0791 (0.0671) loss_cl: -0.3677 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [11:55:08.762205] Epoch: [391] [640/850] eta: 0:03:03 lr: 0.001340 loss: 0.0114 (0.0122) loss_rec_all: 0.0476 (0.0485) loss_rec_sfr: 0.0683 (0.0672) loss_cl: -0.3672 (-0.3674) time: 0.8652 data: 0.0002 max mem: 29859 [11:55:26.012068] Epoch: [391] [660/850] eta: 0:02:45 lr: 0.001340 loss: 0.0124 (0.0122) loss_rec_all: 0.0487 (0.0485) loss_rec_sfr: 0.0526 (0.0670) loss_cl: -0.3673 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [11:55:43.299487] Epoch: [391] [680/850] eta: 0:02:28 lr: 0.001340 loss: 0.0125 (0.0122) loss_rec_all: 0.0486 (0.0485) loss_rec_sfr: 0.0699 (0.0672) loss_cl: -0.3672 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [11:56:00.537123] Epoch: [391] [700/850] eta: 0:02:10 lr: 0.001339 loss: 0.0117 (0.0122) loss_rec_all: 0.0478 (0.0485) loss_rec_sfr: 0.0649 (0.0672) loss_cl: -0.3676 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [11:56:17.824962] Epoch: [391] [720/850] eta: 0:01:53 lr: 0.001339 loss: 0.0112 (0.0122) loss_rec_all: 0.0475 (0.0485) loss_rec_sfr: 0.0492 (0.0671) loss_cl: -0.3674 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [11:56:35.063843] Epoch: [391] [740/850] eta: 0:01:35 lr: 0.001339 loss: 0.0121 (0.0122) loss_rec_all: 0.0483 (0.0485) loss_rec_sfr: 0.0674 (0.0671) loss_cl: -0.3673 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [11:56:52.341599] Epoch: [391] [760/850] eta: 0:01:18 lr: 0.001339 loss: 0.0106 (0.0122) loss_rec_all: 0.0468 (0.0484) loss_rec_sfr: 0.0528 (0.0670) loss_cl: -0.3675 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [11:57:09.578501] Epoch: [391] [780/850] eta: 0:01:00 lr: 0.001339 loss: 0.0112 (0.0122) loss_rec_all: 0.0474 (0.0484) loss_rec_sfr: 0.0704 (0.0671) loss_cl: -0.3675 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [11:57:26.860410] Epoch: [391] [800/850] eta: 0:00:43 lr: 0.001339 loss: 0.0107 (0.0122) loss_rec_all: 0.0469 (0.0484) loss_rec_sfr: 0.0507 (0.0670) loss_cl: -0.3676 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [11:57:48.144176] Epoch: [391] [820/850] eta: 0:00:26 lr: 0.001339 loss: 0.0123 (0.0122) loss_rec_all: 0.0484 (0.0484) loss_rec_sfr: 0.0667 (0.0672) loss_cl: -0.3671 (-0.3674) time: 1.0641 data: 0.0441 max mem: 29859 [11:58:07.678853] Epoch: [391] [840/850] eta: 0:00:08 lr: 0.001339 loss: 0.0108 (0.0121) loss_rec_all: 0.0470 (0.0484) loss_rec_sfr: 0.0679 (0.0671) loss_cl: -0.3671 (-0.3674) time: 0.9767 data: 0.0004 max mem: 29859 [11:58:15.425293] Epoch: [391] [849/850] eta: 0:00:00 lr: 0.001339 loss: 0.0111 (0.0121) loss_rec_all: 0.0472 (0.0484) loss_rec_sfr: 0.0669 (0.0671) loss_cl: -0.3673 (-0.3674) time: 0.9209 data: 0.0004 max mem: 29859 [11:58:15.574372] Epoch: [391] Total time: 0:12:25 (0.8772 s / it) [11:58:15.577402] Averaged stats: lr: 0.001339 loss: 0.0111 (0.0122) loss_rec_all: 0.0472 (0.0484) loss_rec_sfr: 0.0669 (0.0670) loss_cl: -0.3673 (-0.3674) [11:58:15.608211] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [11:58:23.367105] Epoch: [392] [ 0/850] eta: 1:49:54 lr: 0.001339 loss: 0.0100 (0.0100) loss_rec_all: 0.0464 (0.0464) loss_rec_sfr: 0.0507 (0.0507) loss_cl: -0.3670 (-0.3670) time: 7.7580 data: 6.8753 max mem: 29859 [11:58:40.524218] Epoch: [392] [ 20/850] eta: 0:16:24 lr: 0.001338 loss: 0.0101 (0.0108) loss_rec_all: 0.0463 (0.0471) loss_rec_sfr: 0.0750 (0.0716) loss_cl: -0.3675 (-0.3675) time: 0.8578 data: 0.0002 max mem: 29859 [11:58:57.762392] Epoch: [392] [ 40/850] eta: 0:13:52 lr: 0.001338 loss: 0.0103 (0.0108) loss_rec_all: 0.0467 (0.0471) loss_rec_sfr: 0.0481 (0.0662) loss_cl: -0.3678 (-0.3676) time: 0.8619 data: 0.0002 max mem: 29859 [11:59:14.989576] Epoch: [392] [ 60/850] eta: 0:12:48 lr: 0.001338 loss: 0.0101 (0.0107) loss_rec_all: 0.0464 (0.0470) loss_rec_sfr: 0.0469 (0.0656) loss_cl: -0.3677 (-0.3676) time: 0.8613 data: 0.0002 max mem: 29859 [11:59:32.262307] Epoch: [392] [ 80/850] eta: 0:12:08 lr: 0.001338 loss: 0.0111 (0.0110) loss_rec_all: 0.0475 (0.0473) loss_rec_sfr: 0.0640 (0.0657) loss_cl: -0.3672 (-0.3675) time: 0.8636 data: 0.0002 max mem: 29859 [11:59:49.500072] Epoch: [392] [100/850] eta: 0:11:37 lr: 0.001338 loss: 0.0119 (0.0112) loss_rec_all: 0.0482 (0.0475) loss_rec_sfr: 0.0540 (0.0654) loss_cl: -0.3668 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [12:00:06.777876] Epoch: [392] [120/850] eta: 0:11:10 lr: 0.001338 loss: 0.0113 (0.0112) loss_rec_all: 0.0476 (0.0475) loss_rec_sfr: 0.0485 (0.0653) loss_cl: -0.3673 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [12:00:24.028084] Epoch: [392] [140/850] eta: 0:10:46 lr: 0.001338 loss: 0.0112 (0.0112) loss_rec_all: 0.0474 (0.0475) loss_rec_sfr: 0.0503 (0.0656) loss_cl: -0.3679 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [12:00:41.306647] Epoch: [392] [160/850] eta: 0:10:24 lr: 0.001338 loss: 0.0104 (0.0113) loss_rec_all: 0.0468 (0.0476) loss_rec_sfr: 0.0517 (0.0655) loss_cl: -0.3681 (-0.3675) time: 0.8639 data: 0.0002 max mem: 29859 [12:00:58.555627] Epoch: [392] [180/850] eta: 0:10:03 lr: 0.001338 loss: 0.0121 (0.0114) loss_rec_all: 0.0484 (0.0477) loss_rec_sfr: 0.0701 (0.0664) loss_cl: -0.3684 (-0.3676) time: 0.8624 data: 0.0002 max mem: 29859 [12:01:15.849872] Epoch: [392] [200/850] eta: 0:09:42 lr: 0.001337 loss: 0.0120 (0.0115) loss_rec_all: 0.0484 (0.0478) loss_rec_sfr: 0.0682 (0.0670) loss_cl: -0.3681 (-0.3677) time: 0.8646 data: 0.0002 max mem: 29859 [12:01:33.110318] Epoch: [392] [220/850] eta: 0:09:22 lr: 0.001337 loss: 0.0107 (0.0114) loss_rec_all: 0.0469 (0.0477) loss_rec_sfr: 0.0522 (0.0664) loss_cl: -0.3675 (-0.3676) time: 0.8630 data: 0.0002 max mem: 29859 [12:01:50.392105] Epoch: [392] [240/850] eta: 0:09:03 lr: 0.001337 loss: 0.0116 (0.0115) loss_rec_all: 0.0479 (0.0478) loss_rec_sfr: 0.0555 (0.0666) loss_cl: -0.3674 (-0.3676) time: 0.8640 data: 0.0002 max mem: 29859 [12:02:07.638822] Epoch: [392] [260/850] eta: 0:08:44 lr: 0.001337 loss: 0.0112 (0.0115) loss_rec_all: 0.0476 (0.0478) loss_rec_sfr: 0.0528 (0.0663) loss_cl: -0.3675 (-0.3676) time: 0.8623 data: 0.0002 max mem: 29859 [12:02:24.920189] Epoch: [392] [280/850] eta: 0:08:25 lr: 0.001337 loss: 0.0111 (0.0115) loss_rec_all: 0.0473 (0.0478) loss_rec_sfr: 0.0662 (0.0666) loss_cl: -0.3677 (-0.3676) time: 0.8640 data: 0.0002 max mem: 29859 [12:02:42.182883] Epoch: [392] [300/850] eta: 0:08:07 lr: 0.001337 loss: 0.0116 (0.0115) loss_rec_all: 0.0478 (0.0478) loss_rec_sfr: 0.0672 (0.0667) loss_cl: -0.3676 (-0.3676) time: 0.8631 data: 0.0002 max mem: 29859 [12:02:59.467563] Epoch: [392] [320/850] eta: 0:07:48 lr: 0.001337 loss: 0.0111 (0.0116) loss_rec_all: 0.0474 (0.0478) loss_rec_sfr: 0.0684 (0.0666) loss_cl: -0.3674 (-0.3676) time: 0.8642 data: 0.0002 max mem: 29859 [12:03:16.715292] Epoch: [392] [340/850] eta: 0:07:30 lr: 0.001337 loss: 0.0127 (0.0116) loss_rec_all: 0.0487 (0.0479) loss_rec_sfr: 0.0669 (0.0670) loss_cl: -0.3670 (-0.3676) time: 0.8623 data: 0.0002 max mem: 29859 [12:03:34.025556] Epoch: [392] [360/850] eta: 0:07:12 lr: 0.001336 loss: 0.0114 (0.0116) loss_rec_all: 0.0476 (0.0479) loss_rec_sfr: 0.0543 (0.0670) loss_cl: -0.3667 (-0.3675) time: 0.8655 data: 0.0002 max mem: 29859 [12:03:51.286422] Epoch: [392] [380/850] eta: 0:06:54 lr: 0.001336 loss: 0.0115 (0.0116) loss_rec_all: 0.0477 (0.0479) loss_rec_sfr: 0.0634 (0.0670) loss_cl: -0.3671 (-0.3675) time: 0.8630 data: 0.0002 max mem: 29859 [12:04:08.581898] Epoch: [392] [400/850] eta: 0:06:36 lr: 0.001336 loss: 0.0101 (0.0115) loss_rec_all: 0.0466 (0.0478) loss_rec_sfr: 0.0471 (0.0667) loss_cl: -0.3678 (-0.3675) time: 0.8647 data: 0.0002 max mem: 29859 [12:04:25.827865] Epoch: [392] [420/850] eta: 0:06:18 lr: 0.001336 loss: 0.0101 (0.0115) loss_rec_all: 0.0464 (0.0478) loss_rec_sfr: 0.0505 (0.0665) loss_cl: -0.3684 (-0.3675) time: 0.8622 data: 0.0002 max mem: 29859 [12:04:43.127189] Epoch: [392] [440/850] eta: 0:06:00 lr: 0.001336 loss: 0.0105 (0.0115) loss_rec_all: 0.0469 (0.0478) loss_rec_sfr: 0.0657 (0.0663) loss_cl: -0.3679 (-0.3676) time: 0.8649 data: 0.0002 max mem: 29859 [12:05:00.371117] Epoch: [392] [460/850] eta: 0:05:42 lr: 0.001336 loss: 0.0108 (0.0115) loss_rec_all: 0.0470 (0.0478) loss_rec_sfr: 0.0487 (0.0663) loss_cl: -0.3678 (-0.3676) time: 0.8621 data: 0.0002 max mem: 29859 [12:05:17.648607] Epoch: [392] [480/850] eta: 0:05:24 lr: 0.001336 loss: 0.0105 (0.0115) loss_rec_all: 0.0469 (0.0478) loss_rec_sfr: 0.0526 (0.0661) loss_cl: -0.3673 (-0.3676) time: 0.8638 data: 0.0002 max mem: 29859 [12:05:34.888541] Epoch: [392] [500/850] eta: 0:05:06 lr: 0.001336 loss: 0.0115 (0.0115) loss_rec_all: 0.0478 (0.0478) loss_rec_sfr: 0.0512 (0.0661) loss_cl: -0.3669 (-0.3675) time: 0.8619 data: 0.0002 max mem: 29859 [12:05:52.193828] Epoch: [392] [520/850] eta: 0:04:49 lr: 0.001336 loss: 0.0125 (0.0116) loss_rec_all: 0.0488 (0.0479) loss_rec_sfr: 0.0505 (0.0659) loss_cl: -0.3671 (-0.3675) time: 0.8652 data: 0.0002 max mem: 29859 [12:06:09.434681] Epoch: [392] [540/850] eta: 0:04:31 lr: 0.001335 loss: 0.0113 (0.0116) loss_rec_all: 0.0476 (0.0479) loss_rec_sfr: 0.0494 (0.0660) loss_cl: -0.3667 (-0.3675) time: 0.8620 data: 0.0002 max mem: 29859 [12:06:26.730700] Epoch: [392] [560/850] eta: 0:04:13 lr: 0.001335 loss: 0.0111 (0.0116) loss_rec_all: 0.0475 (0.0479) loss_rec_sfr: 0.0491 (0.0659) loss_cl: -0.3668 (-0.3675) time: 0.8647 data: 0.0002 max mem: 29859 [12:06:43.967955] Epoch: [392] [580/850] eta: 0:03:56 lr: 0.001335 loss: 0.0116 (0.0116) loss_rec_all: 0.0479 (0.0479) loss_rec_sfr: 0.0532 (0.0659) loss_cl: -0.3669 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [12:07:01.247696] Epoch: [392] [600/850] eta: 0:03:38 lr: 0.001335 loss: 0.0110 (0.0116) loss_rec_all: 0.0474 (0.0479) loss_rec_sfr: 0.0693 (0.0660) loss_cl: -0.3673 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [12:07:18.484137] Epoch: [392] [620/850] eta: 0:03:21 lr: 0.001335 loss: 0.0113 (0.0116) loss_rec_all: 0.0475 (0.0479) loss_rec_sfr: 0.0671 (0.0661) loss_cl: -0.3674 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [12:07:35.758792] Epoch: [392] [640/850] eta: 0:03:03 lr: 0.001335 loss: 0.0110 (0.0116) loss_rec_all: 0.0470 (0.0479) loss_rec_sfr: 0.0676 (0.0663) loss_cl: -0.3676 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [12:07:52.992054] Epoch: [392] [660/850] eta: 0:02:45 lr: 0.001335 loss: 0.0105 (0.0116) loss_rec_all: 0.0468 (0.0478) loss_rec_sfr: 0.0456 (0.0661) loss_cl: -0.3674 (-0.3674) time: 0.8616 data: 0.0002 max mem: 29859 [12:08:10.266549] Epoch: [392] [680/850] eta: 0:02:28 lr: 0.001335 loss: 0.0109 (0.0115) loss_rec_all: 0.0471 (0.0478) loss_rec_sfr: 0.0517 (0.0661) loss_cl: -0.3670 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [12:08:27.527175] Epoch: [392] [700/850] eta: 0:02:10 lr: 0.001335 loss: 0.0124 (0.0116) loss_rec_all: 0.0485 (0.0479) loss_rec_sfr: 0.0688 (0.0663) loss_cl: -0.3672 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [12:08:44.804350] Epoch: [392] [720/850] eta: 0:01:53 lr: 0.001334 loss: 0.0111 (0.0116) loss_rec_all: 0.0474 (0.0479) loss_rec_sfr: 0.0484 (0.0661) loss_cl: -0.3673 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [12:09:02.069334] Epoch: [392] [740/850] eta: 0:01:35 lr: 0.001334 loss: 0.0115 (0.0116) loss_rec_all: 0.0479 (0.0479) loss_rec_sfr: 0.0581 (0.0662) loss_cl: -0.3678 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [12:09:19.344352] Epoch: [392] [760/850] eta: 0:01:18 lr: 0.001334 loss: 0.0114 (0.0116) loss_rec_all: 0.0478 (0.0479) loss_rec_sfr: 0.0519 (0.0661) loss_cl: -0.3677 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [12:09:36.591891] Epoch: [392] [780/850] eta: 0:01:01 lr: 0.001334 loss: 0.0119 (0.0116) loss_rec_all: 0.0483 (0.0479) loss_rec_sfr: 0.0510 (0.0661) loss_cl: -0.3679 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [12:09:53.875855] Epoch: [392] [800/850] eta: 0:00:43 lr: 0.001334 loss: 0.0122 (0.0117) loss_rec_all: 0.0481 (0.0480) loss_rec_sfr: 0.0524 (0.0661) loss_cl: -0.3674 (-0.3674) time: 0.8642 data: 0.0002 max mem: 29859 [12:10:11.095065] Epoch: [392] [820/850] eta: 0:00:26 lr: 0.001334 loss: 0.0107 (0.0117) loss_rec_all: 0.0469 (0.0480) loss_rec_sfr: 0.0484 (0.0660) loss_cl: -0.3672 (-0.3674) time: 0.8609 data: 0.0002 max mem: 29859 [12:10:28.376704] Epoch: [392] [840/850] eta: 0:00:08 lr: 0.001334 loss: 0.0119 (0.0117) loss_rec_all: 0.0482 (0.0480) loss_rec_sfr: 0.0670 (0.0662) loss_cl: -0.3674 (-0.3674) time: 0.8640 data: 0.0005 max mem: 29859 [12:10:36.139400] Epoch: [392] [849/850] eta: 0:00:00 lr: 0.001334 loss: 0.0132 (0.0117) loss_rec_all: 0.0491 (0.0480) loss_rec_sfr: 0.0670 (0.0664) loss_cl: -0.3673 (-0.3674) time: 0.8637 data: 0.0004 max mem: 29859 [12:10:36.271423] Epoch: [392] Total time: 0:12:20 (0.8714 s / it) [12:10:36.275089] Averaged stats: lr: 0.001334 loss: 0.0132 (0.0117) loss_rec_all: 0.0491 (0.0479) loss_rec_sfr: 0.0670 (0.0659) loss_cl: -0.3673 (-0.3674) [12:10:36.284862] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [12:10:40.404025] Epoch: [393] [ 0/850] eta: 0:58:20 lr: 0.001334 loss: 0.0116 (0.0116) loss_rec_all: 0.0480 (0.0480) loss_rec_sfr: 0.0459 (0.0459) loss_cl: -0.3674 (-0.3674) time: 4.1179 data: 3.2082 max mem: 29859 [12:10:57.643298] Epoch: [393] [ 20/850] eta: 0:14:04 lr: 0.001334 loss: 0.0107 (0.0116) loss_rec_all: 0.0466 (0.0478) loss_rec_sfr: 0.0668 (0.0662) loss_cl: -0.3673 (-0.3671) time: 0.8619 data: 0.0002 max mem: 29859 [12:11:14.916761] Epoch: [393] [ 40/850] eta: 0:12:43 lr: 0.001333 loss: 0.0122 (0.0119) loss_rec_all: 0.0485 (0.0481) loss_rec_sfr: 0.0765 (0.0731) loss_cl: -0.3673 (-0.3672) time: 0.8636 data: 0.0002 max mem: 29859 [12:11:32.163553] Epoch: [393] [ 60/850] eta: 0:12:03 lr: 0.001333 loss: 0.0114 (0.0118) loss_rec_all: 0.0476 (0.0481) loss_rec_sfr: 0.0525 (0.0714) loss_cl: -0.3675 (-0.3672) time: 0.8623 data: 0.0002 max mem: 29859 [12:11:49.445989] Epoch: [393] [ 80/850] eta: 0:11:35 lr: 0.001333 loss: 0.0111 (0.0117) loss_rec_all: 0.0473 (0.0479) loss_rec_sfr: 0.0685 (0.0712) loss_cl: -0.3676 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [12:12:06.690241] Epoch: [393] [100/850] eta: 0:11:11 lr: 0.001333 loss: 0.0115 (0.0117) loss_rec_all: 0.0478 (0.0480) loss_rec_sfr: 0.0636 (0.0708) loss_cl: -0.3674 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [12:12:23.976247] Epoch: [393] [120/850] eta: 0:10:49 lr: 0.001333 loss: 0.0113 (0.0117) loss_rec_all: 0.0477 (0.0480) loss_rec_sfr: 0.0650 (0.0704) loss_cl: -0.3672 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [12:12:41.252979] Epoch: [393] [140/850] eta: 0:10:29 lr: 0.001333 loss: 0.0097 (0.0115) loss_rec_all: 0.0461 (0.0478) loss_rec_sfr: 0.0508 (0.0692) loss_cl: -0.3675 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [12:12:58.543481] Epoch: [393] [160/850] eta: 0:10:09 lr: 0.001333 loss: 0.0102 (0.0114) loss_rec_all: 0.0466 (0.0477) loss_rec_sfr: 0.0531 (0.0682) loss_cl: -0.3674 (-0.3673) time: 0.8645 data: 0.0002 max mem: 29859 [12:13:15.832580] Epoch: [393] [180/850] eta: 0:09:50 lr: 0.001333 loss: 0.0107 (0.0114) loss_rec_all: 0.0471 (0.0477) loss_rec_sfr: 0.0512 (0.0670) loss_cl: -0.3673 (-0.3673) time: 0.8644 data: 0.0003 max mem: 29859 [12:13:33.118883] Epoch: [393] [200/850] eta: 0:09:31 lr: 0.001332 loss: 0.0106 (0.0113) loss_rec_all: 0.0469 (0.0476) loss_rec_sfr: 0.0640 (0.0674) loss_cl: -0.3672 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [12:13:50.371643] Epoch: [393] [220/850] eta: 0:09:13 lr: 0.001332 loss: 0.0108 (0.0113) loss_rec_all: 0.0471 (0.0476) loss_rec_sfr: 0.0532 (0.0674) loss_cl: -0.3673 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [12:14:07.688416] Epoch: [393] [240/850] eta: 0:08:55 lr: 0.001332 loss: 0.0111 (0.0113) loss_rec_all: 0.0471 (0.0476) loss_rec_sfr: 0.0699 (0.0680) loss_cl: -0.3676 (-0.3673) time: 0.8658 data: 0.0002 max mem: 29859 [12:14:24.945830] Epoch: [393] [260/850] eta: 0:08:36 lr: 0.001332 loss: 0.0098 (0.0112) loss_rec_all: 0.0462 (0.0475) loss_rec_sfr: 0.0476 (0.0675) loss_cl: -0.3675 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [12:14:42.243574] Epoch: [393] [280/850] eta: 0:08:18 lr: 0.001332 loss: 0.0106 (0.0113) loss_rec_all: 0.0471 (0.0475) loss_rec_sfr: 0.0681 (0.0677) loss_cl: -0.3679 (-0.3673) time: 0.8648 data: 0.0002 max mem: 29859 [12:14:59.497076] Epoch: [393] [300/850] eta: 0:08:00 lr: 0.001332 loss: 0.0104 (0.0112) loss_rec_all: 0.0467 (0.0475) loss_rec_sfr: 0.0489 (0.0671) loss_cl: -0.3675 (-0.3673) time: 0.8626 data: 0.0002 max mem: 29859 [12:15:16.779443] Epoch: [393] [320/850] eta: 0:07:43 lr: 0.001332 loss: 0.0119 (0.0114) loss_rec_all: 0.0481 (0.0477) loss_rec_sfr: 0.0790 (0.0676) loss_cl: -0.3672 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [12:15:34.034534] Epoch: [393] [340/850] eta: 0:07:25 lr: 0.001332 loss: 0.0160 (0.0117) loss_rec_all: 0.0520 (0.0480) loss_rec_sfr: 0.0814 (0.0686) loss_cl: -0.3669 (-0.3673) time: 0.8627 data: 0.0002 max mem: 29859 [12:15:51.318574] Epoch: [393] [360/850] eta: 0:07:07 lr: 0.001332 loss: 0.0175 (0.0121) loss_rec_all: 0.0538 (0.0483) loss_rec_sfr: 0.0593 (0.0688) loss_cl: -0.3673 (-0.3673) time: 0.8642 data: 0.0002 max mem: 29859 [12:16:08.567346] Epoch: [393] [380/850] eta: 0:06:49 lr: 0.001331 loss: 0.0158 (0.0123) loss_rec_all: 0.0521 (0.0486) loss_rec_sfr: 0.0798 (0.0691) loss_cl: -0.3679 (-0.3673) time: 0.8624 data: 0.0002 max mem: 29859 [12:16:25.875793] Epoch: [393] [400/850] eta: 0:06:32 lr: 0.001331 loss: 0.0151 (0.0125) loss_rec_all: 0.0515 (0.0488) loss_rec_sfr: 0.0824 (0.0696) loss_cl: -0.3680 (-0.3673) time: 0.8654 data: 0.0002 max mem: 29859 [12:16:43.125267] Epoch: [393] [420/850] eta: 0:06:14 lr: 0.001331 loss: 0.0138 (0.0126) loss_rec_all: 0.0501 (0.0488) loss_rec_sfr: 0.0754 (0.0698) loss_cl: -0.3680 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [12:17:00.443253] Epoch: [393] [440/850] eta: 0:05:57 lr: 0.001331 loss: 0.0145 (0.0127) loss_rec_all: 0.0507 (0.0489) loss_rec_sfr: 0.0742 (0.0700) loss_cl: -0.3676 (-0.3674) time: 0.8658 data: 0.0002 max mem: 29859 [12:17:17.695611] Epoch: [393] [460/850] eta: 0:05:39 lr: 0.001331 loss: 0.0140 (0.0127) loss_rec_all: 0.0502 (0.0490) loss_rec_sfr: 0.0691 (0.0701) loss_cl: -0.3671 (-0.3674) time: 0.8626 data: 0.0002 max mem: 29859 [12:17:34.995356] Epoch: [393] [480/850] eta: 0:05:22 lr: 0.001331 loss: 0.0115 (0.0127) loss_rec_all: 0.0478 (0.0490) loss_rec_sfr: 0.0689 (0.0700) loss_cl: -0.3669 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [12:17:52.252707] Epoch: [393] [500/850] eta: 0:05:04 lr: 0.001331 loss: 0.0119 (0.0127) loss_rec_all: 0.0482 (0.0490) loss_rec_sfr: 0.0679 (0.0701) loss_cl: -0.3671 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [12:18:09.523899] Epoch: [393] [520/850] eta: 0:04:47 lr: 0.001331 loss: 0.0110 (0.0126) loss_rec_all: 0.0474 (0.0489) loss_rec_sfr: 0.0511 (0.0700) loss_cl: -0.3674 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [12:18:26.783865] Epoch: [393] [540/850] eta: 0:04:29 lr: 0.001331 loss: 0.0110 (0.0126) loss_rec_all: 0.0474 (0.0489) loss_rec_sfr: 0.0536 (0.0698) loss_cl: -0.3675 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [12:18:44.072370] Epoch: [393] [560/850] eta: 0:04:12 lr: 0.001330 loss: 0.0106 (0.0126) loss_rec_all: 0.0469 (0.0488) loss_rec_sfr: 0.0731 (0.0698) loss_cl: -0.3683 (-0.3674) time: 0.8644 data: 0.0002 max mem: 29859 [12:19:01.303024] Epoch: [393] [580/850] eta: 0:03:54 lr: 0.001330 loss: 0.0105 (0.0125) loss_rec_all: 0.0469 (0.0488) loss_rec_sfr: 0.0689 (0.0697) loss_cl: -0.3678 (-0.3674) time: 0.8615 data: 0.0002 max mem: 29859 [12:19:18.561845] Epoch: [393] [600/850] eta: 0:03:37 lr: 0.001330 loss: 0.0102 (0.0124) loss_rec_all: 0.0466 (0.0487) loss_rec_sfr: 0.0479 (0.0696) loss_cl: -0.3673 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [12:19:35.809136] Epoch: [393] [620/850] eta: 0:03:19 lr: 0.001330 loss: 0.0095 (0.0124) loss_rec_all: 0.0459 (0.0486) loss_rec_sfr: 0.0461 (0.0694) loss_cl: -0.3668 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [12:19:53.101545] Epoch: [393] [640/850] eta: 0:03:02 lr: 0.001330 loss: 0.0115 (0.0124) loss_rec_all: 0.0476 (0.0486) loss_rec_sfr: 0.0677 (0.0694) loss_cl: -0.3666 (-0.3673) time: 0.8646 data: 0.0002 max mem: 29859 [12:20:10.337704] Epoch: [393] [660/850] eta: 0:02:44 lr: 0.001330 loss: 0.0097 (0.0123) loss_rec_all: 0.0460 (0.0485) loss_rec_sfr: 0.0487 (0.0692) loss_cl: -0.3668 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [12:20:27.621468] Epoch: [393] [680/850] eta: 0:02:27 lr: 0.001330 loss: 0.0103 (0.0123) loss_rec_all: 0.0467 (0.0485) loss_rec_sfr: 0.0506 (0.0688) loss_cl: -0.3674 (-0.3673) time: 0.8641 data: 0.0002 max mem: 29859 [12:20:44.864383] Epoch: [393] [700/850] eta: 0:02:10 lr: 0.001330 loss: 0.0104 (0.0122) loss_rec_all: 0.0468 (0.0485) loss_rec_sfr: 0.0494 (0.0685) loss_cl: -0.3680 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [12:21:02.150497] Epoch: [393] [720/850] eta: 0:01:52 lr: 0.001329 loss: 0.0107 (0.0122) loss_rec_all: 0.0470 (0.0484) loss_rec_sfr: 0.0582 (0.0684) loss_cl: -0.3679 (-0.3674) time: 0.8643 data: 0.0002 max mem: 29859 [12:21:19.408403] Epoch: [393] [740/850] eta: 0:01:35 lr: 0.001329 loss: 0.0109 (0.0122) loss_rec_all: 0.0472 (0.0484) loss_rec_sfr: 0.0660 (0.0683) loss_cl: -0.3675 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [12:21:36.711058] Epoch: [393] [760/850] eta: 0:01:18 lr: 0.001329 loss: 0.0111 (0.0122) loss_rec_all: 0.0473 (0.0484) loss_rec_sfr: 0.0673 (0.0683) loss_cl: -0.3673 (-0.3674) time: 0.8651 data: 0.0002 max mem: 29859 [12:21:53.969200] Epoch: [393] [780/850] eta: 0:01:00 lr: 0.001329 loss: 0.0117 (0.0122) loss_rec_all: 0.0478 (0.0484) loss_rec_sfr: 0.0680 (0.0684) loss_cl: -0.3672 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [12:22:12.652041] Epoch: [393] [800/850] eta: 0:00:43 lr: 0.001329 loss: 0.0119 (0.0122) loss_rec_all: 0.0481 (0.0484) loss_rec_sfr: 0.0680 (0.0684) loss_cl: -0.3671 (-0.3674) time: 0.9341 data: 0.0147 max mem: 29859 [12:22:29.891969] Epoch: [393] [820/850] eta: 0:00:26 lr: 0.001329 loss: 0.0110 (0.0122) loss_rec_all: 0.0473 (0.0484) loss_rec_sfr: 0.0503 (0.0684) loss_cl: -0.3675 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [12:22:47.169570] Epoch: [393] [840/850] eta: 0:00:08 lr: 0.001329 loss: 0.0105 (0.0121) loss_rec_all: 0.0469 (0.0484) loss_rec_sfr: 0.0652 (0.0685) loss_cl: -0.3677 (-0.3674) time: 0.8638 data: 0.0005 max mem: 29859 [12:22:54.925367] Epoch: [393] [849/850] eta: 0:00:00 lr: 0.001329 loss: 0.0105 (0.0121) loss_rec_all: 0.0469 (0.0484) loss_rec_sfr: 0.0472 (0.0683) loss_cl: -0.3675 (-0.3674) time: 0.8638 data: 0.0005 max mem: 29859 [12:22:55.059698] Epoch: [393] Total time: 0:12:18 (0.8691 s / it) [12:22:55.062697] Averaged stats: lr: 0.001329 loss: 0.0105 (0.0121) loss_rec_all: 0.0469 (0.0484) loss_rec_sfr: 0.0472 (0.0675) loss_cl: -0.3675 (-0.3674) [12:22:55.072672] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [12:22:59.774469] Epoch: [394] [ 0/850] eta: 1:06:35 lr: 0.001329 loss: 0.0107 (0.0107) loss_rec_all: 0.0471 (0.0471) loss_rec_sfr: 0.0466 (0.0466) loss_cl: -0.3668 (-0.3668) time: 4.7010 data: 3.8292 max mem: 29859 [12:23:16.947168] Epoch: [394] [ 20/850] eta: 0:14:24 lr: 0.001329 loss: 0.0110 (0.0113) loss_rec_all: 0.0470 (0.0475) loss_rec_sfr: 0.0685 (0.0666) loss_cl: -0.3669 (-0.3667) time: 0.8586 data: 0.0002 max mem: 29859 [12:23:34.185742] Epoch: [394] [ 40/850] eta: 0:12:52 lr: 0.001328 loss: 0.0101 (0.0109) loss_rec_all: 0.0463 (0.0471) loss_rec_sfr: 0.0505 (0.0667) loss_cl: -0.3670 (-0.3668) time: 0.8619 data: 0.0002 max mem: 29859 [12:23:51.400737] Epoch: [394] [ 60/850] eta: 0:12:09 lr: 0.001328 loss: 0.0103 (0.0109) loss_rec_all: 0.0467 (0.0471) loss_rec_sfr: 0.0494 (0.0657) loss_cl: -0.3670 (-0.3669) time: 0.8607 data: 0.0002 max mem: 29859 [12:24:08.676378] Epoch: [394] [ 80/850] eta: 0:11:39 lr: 0.001328 loss: 0.0112 (0.0110) loss_rec_all: 0.0475 (0.0473) loss_rec_sfr: 0.0672 (0.0676) loss_cl: -0.3676 (-0.3671) time: 0.8637 data: 0.0002 max mem: 29859 [12:24:25.910819] Epoch: [394] [100/850] eta: 0:11:14 lr: 0.001328 loss: 0.0116 (0.0111) loss_rec_all: 0.0480 (0.0474) loss_rec_sfr: 0.0562 (0.0686) loss_cl: -0.3677 (-0.3672) time: 0.8616 data: 0.0002 max mem: 29859 [12:24:43.202919] Epoch: [394] [120/850] eta: 0:10:52 lr: 0.001328 loss: 0.0109 (0.0112) loss_rec_all: 0.0470 (0.0475) loss_rec_sfr: 0.0533 (0.0677) loss_cl: -0.3676 (-0.3672) time: 0.8646 data: 0.0002 max mem: 29859 [12:25:00.441805] Epoch: [394] [140/850] eta: 0:10:31 lr: 0.001328 loss: 0.0119 (0.0114) loss_rec_all: 0.0483 (0.0476) loss_rec_sfr: 0.0675 (0.0685) loss_cl: -0.3677 (-0.3673) time: 0.8619 data: 0.0002 max mem: 29859 [12:25:17.760781] Epoch: [394] [160/850] eta: 0:10:11 lr: 0.001328 loss: 0.0100 (0.0113) loss_rec_all: 0.0463 (0.0476) loss_rec_sfr: 0.0529 (0.0677) loss_cl: -0.3678 (-0.3674) time: 0.8659 data: 0.0002 max mem: 29859 [12:25:35.007061] Epoch: [394] [180/850] eta: 0:09:51 lr: 0.001328 loss: 0.0105 (0.0113) loss_rec_all: 0.0469 (0.0475) loss_rec_sfr: 0.0501 (0.0671) loss_cl: -0.3678 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [12:25:52.289340] Epoch: [394] [200/850] eta: 0:09:33 lr: 0.001328 loss: 0.0119 (0.0113) loss_rec_all: 0.0480 (0.0476) loss_rec_sfr: 0.0640 (0.0669) loss_cl: -0.3677 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [12:26:09.543300] Epoch: [394] [220/850] eta: 0:09:14 lr: 0.001327 loss: 0.0107 (0.0113) loss_rec_all: 0.0468 (0.0475) loss_rec_sfr: 0.0670 (0.0670) loss_cl: -0.3672 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [12:26:26.825486] Epoch: [394] [240/850] eta: 0:08:55 lr: 0.001327 loss: 0.0107 (0.0113) loss_rec_all: 0.0471 (0.0475) loss_rec_sfr: 0.0510 (0.0663) loss_cl: -0.3671 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [12:26:44.069758] Epoch: [394] [260/850] eta: 0:08:37 lr: 0.001327 loss: 0.0113 (0.0113) loss_rec_all: 0.0475 (0.0475) loss_rec_sfr: 0.0492 (0.0663) loss_cl: -0.3668 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [12:27:01.346462] Epoch: [394] [280/850] eta: 0:08:19 lr: 0.001327 loss: 0.0111 (0.0113) loss_rec_all: 0.0474 (0.0475) loss_rec_sfr: 0.0757 (0.0668) loss_cl: -0.3670 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [12:27:18.608544] Epoch: [394] [300/850] eta: 0:08:01 lr: 0.001327 loss: 0.0102 (0.0113) loss_rec_all: 0.0465 (0.0475) loss_rec_sfr: 0.0529 (0.0665) loss_cl: -0.3673 (-0.3673) time: 0.8631 data: 0.0002 max mem: 29859 [12:27:35.887812] Epoch: [394] [320/850] eta: 0:07:43 lr: 0.001327 loss: 0.0104 (0.0112) loss_rec_all: 0.0466 (0.0475) loss_rec_sfr: 0.0507 (0.0662) loss_cl: -0.3676 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [12:27:53.131952] Epoch: [394] [340/850] eta: 0:07:25 lr: 0.001327 loss: 0.0106 (0.0112) loss_rec_all: 0.0470 (0.0475) loss_rec_sfr: 0.0508 (0.0662) loss_cl: -0.3677 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [12:28:10.423747] Epoch: [394] [360/850] eta: 0:07:08 lr: 0.001327 loss: 0.0106 (0.0112) loss_rec_all: 0.0471 (0.0475) loss_rec_sfr: 0.0499 (0.0659) loss_cl: -0.3677 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [12:28:27.661624] Epoch: [394] [380/850] eta: 0:06:50 lr: 0.001327 loss: 0.0134 (0.0114) loss_rec_all: 0.0497 (0.0476) loss_rec_sfr: 0.0743 (0.0662) loss_cl: -0.3677 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [12:28:44.944497] Epoch: [394] [400/850] eta: 0:06:32 lr: 0.001326 loss: 0.0129 (0.0115) loss_rec_all: 0.0491 (0.0477) loss_rec_sfr: 0.0561 (0.0663) loss_cl: -0.3677 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [12:29:02.176629] Epoch: [394] [420/850] eta: 0:06:14 lr: 0.001326 loss: 0.0122 (0.0115) loss_rec_all: 0.0483 (0.0478) loss_rec_sfr: 0.0683 (0.0664) loss_cl: -0.3676 (-0.3674) time: 0.8616 data: 0.0002 max mem: 29859 [12:29:19.462244] Epoch: [394] [440/850] eta: 0:05:57 lr: 0.001326 loss: 0.0122 (0.0116) loss_rec_all: 0.0486 (0.0479) loss_rec_sfr: 0.0513 (0.0664) loss_cl: -0.3678 (-0.3674) time: 0.8642 data: 0.0002 max mem: 29859 [12:29:36.698767] Epoch: [394] [460/850] eta: 0:05:39 lr: 0.001326 loss: 0.0107 (0.0116) loss_rec_all: 0.0469 (0.0478) loss_rec_sfr: 0.0535 (0.0663) loss_cl: -0.3680 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [12:29:53.978957] Epoch: [394] [480/850] eta: 0:05:22 lr: 0.001326 loss: 0.0106 (0.0116) loss_rec_all: 0.0471 (0.0478) loss_rec_sfr: 0.0497 (0.0662) loss_cl: -0.3676 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [12:30:11.221506] Epoch: [394] [500/850] eta: 0:05:04 lr: 0.001326 loss: 0.0105 (0.0115) loss_rec_all: 0.0468 (0.0478) loss_rec_sfr: 0.0719 (0.0664) loss_cl: -0.3675 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [12:30:28.513115] Epoch: [394] [520/850] eta: 0:04:47 lr: 0.001326 loss: 0.0103 (0.0115) loss_rec_all: 0.0467 (0.0478) loss_rec_sfr: 0.0512 (0.0662) loss_cl: -0.3674 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [12:30:45.750068] Epoch: [394] [540/850] eta: 0:04:29 lr: 0.001326 loss: 0.0114 (0.0115) loss_rec_all: 0.0476 (0.0478) loss_rec_sfr: 0.0595 (0.0662) loss_cl: -0.3674 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [12:31:03.035746] Epoch: [394] [560/850] eta: 0:04:12 lr: 0.001325 loss: 0.0101 (0.0115) loss_rec_all: 0.0465 (0.0477) loss_rec_sfr: 0.0457 (0.0657) loss_cl: -0.3670 (-0.3674) time: 0.8642 data: 0.0002 max mem: 29859 [12:31:20.274376] Epoch: [394] [580/850] eta: 0:03:54 lr: 0.001325 loss: 0.0107 (0.0114) loss_rec_all: 0.0469 (0.0477) loss_rec_sfr: 0.0650 (0.0657) loss_cl: -0.3667 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [12:31:37.557809] Epoch: [394] [600/850] eta: 0:03:37 lr: 0.001325 loss: 0.0108 (0.0114) loss_rec_all: 0.0468 (0.0477) loss_rec_sfr: 0.0669 (0.0658) loss_cl: -0.3671 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [12:31:54.827972] Epoch: [394] [620/850] eta: 0:03:19 lr: 0.001325 loss: 0.0112 (0.0114) loss_rec_all: 0.0474 (0.0477) loss_rec_sfr: 0.0505 (0.0658) loss_cl: -0.3674 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [12:32:12.101302] Epoch: [394] [640/850] eta: 0:03:02 lr: 0.001325 loss: 0.0102 (0.0114) loss_rec_all: 0.0463 (0.0477) loss_rec_sfr: 0.0509 (0.0657) loss_cl: -0.3675 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [12:32:29.366150] Epoch: [394] [660/850] eta: 0:02:45 lr: 0.001325 loss: 0.0107 (0.0114) loss_rec_all: 0.0470 (0.0476) loss_rec_sfr: 0.0469 (0.0656) loss_cl: -0.3675 (-0.3674) time: 0.8632 data: 0.0002 max mem: 29859 [12:32:46.651862] Epoch: [394] [680/850] eta: 0:02:27 lr: 0.001325 loss: 0.0119 (0.0114) loss_rec_all: 0.0481 (0.0477) loss_rec_sfr: 0.0645 (0.0657) loss_cl: -0.3673 (-0.3674) time: 0.8642 data: 0.0002 max mem: 29859 [12:33:03.890343] Epoch: [394] [700/850] eta: 0:02:10 lr: 0.001325 loss: 0.0108 (0.0114) loss_rec_all: 0.0473 (0.0477) loss_rec_sfr: 0.0477 (0.0655) loss_cl: -0.3674 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [12:33:21.168119] Epoch: [394] [720/850] eta: 0:01:52 lr: 0.001325 loss: 0.0104 (0.0114) loss_rec_all: 0.0468 (0.0476) loss_rec_sfr: 0.0457 (0.0654) loss_cl: -0.3672 (-0.3674) time: 0.8638 data: 0.0002 max mem: 29859 [12:33:38.448054] Epoch: [394] [740/850] eta: 0:01:35 lr: 0.001324 loss: 0.0107 (0.0114) loss_rec_all: 0.0471 (0.0476) loss_rec_sfr: 0.0493 (0.0654) loss_cl: -0.3675 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [12:33:55.729661] Epoch: [394] [760/850] eta: 0:01:18 lr: 0.001324 loss: 0.0112 (0.0114) loss_rec_all: 0.0476 (0.0476) loss_rec_sfr: 0.0539 (0.0655) loss_cl: -0.3680 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [12:34:12.975869] Epoch: [394] [780/850] eta: 0:01:00 lr: 0.001324 loss: 0.0107 (0.0113) loss_rec_all: 0.0472 (0.0476) loss_rec_sfr: 0.0458 (0.0653) loss_cl: -0.3680 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [12:34:30.251036] Epoch: [394] [800/850] eta: 0:00:43 lr: 0.001324 loss: 0.0106 (0.0113) loss_rec_all: 0.0469 (0.0476) loss_rec_sfr: 0.0518 (0.0654) loss_cl: -0.3681 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [12:34:47.500732] Epoch: [394] [820/850] eta: 0:00:26 lr: 0.001324 loss: 0.0112 (0.0113) loss_rec_all: 0.0475 (0.0476) loss_rec_sfr: 0.0546 (0.0655) loss_cl: -0.3677 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [12:35:04.800759] Epoch: [394] [840/850] eta: 0:00:08 lr: 0.001324 loss: 0.0106 (0.0113) loss_rec_all: 0.0469 (0.0476) loss_rec_sfr: 0.0511 (0.0654) loss_cl: -0.3671 (-0.3674) time: 0.8650 data: 0.0005 max mem: 29859 [12:35:12.556356] Epoch: [394] [849/850] eta: 0:00:00 lr: 0.001324 loss: 0.0108 (0.0113) loss_rec_all: 0.0471 (0.0476) loss_rec_sfr: 0.0479 (0.0654) loss_cl: -0.3671 (-0.3674) time: 0.8636 data: 0.0004 max mem: 29859 [12:35:12.691401] Epoch: [394] Total time: 0:12:17 (0.8678 s / it) [12:35:12.695263] Averaged stats: lr: 0.001324 loss: 0.0108 (0.0114) loss_rec_all: 0.0471 (0.0477) loss_rec_sfr: 0.0479 (0.0661) loss_cl: -0.3671 (-0.3674) [12:35:12.707524] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [12:35:17.173473] Epoch: [395] [ 0/850] eta: 1:03:15 lr: 0.001324 loss: 0.0120 (0.0120) loss_rec_all: 0.0480 (0.0480) loss_rec_sfr: 0.0926 (0.0926) loss_cl: -0.3664 (-0.3664) time: 4.4650 data: 3.5581 max mem: 29859 [12:35:34.376543] Epoch: [395] [ 20/850] eta: 0:14:16 lr: 0.001324 loss: 0.0101 (0.0107) loss_rec_all: 0.0465 (0.0469) loss_rec_sfr: 0.0520 (0.0693) loss_cl: -0.3670 (-0.3669) time: 0.8601 data: 0.0002 max mem: 29859 [12:35:51.636782] Epoch: [395] [ 40/850] eta: 0:12:49 lr: 0.001324 loss: 0.0110 (0.0108) loss_rec_all: 0.0474 (0.0471) loss_rec_sfr: 0.0472 (0.0646) loss_cl: -0.3672 (-0.3670) time: 0.8630 data: 0.0002 max mem: 29859 [12:36:08.888116] Epoch: [395] [ 60/850] eta: 0:12:07 lr: 0.001323 loss: 0.0109 (0.0111) loss_rec_all: 0.0472 (0.0473) loss_rec_sfr: 0.0530 (0.0640) loss_cl: -0.3675 (-0.3672) time: 0.8625 data: 0.0002 max mem: 29859 [12:36:26.159179] Epoch: [395] [ 80/850] eta: 0:11:38 lr: 0.001323 loss: 0.0114 (0.0111) loss_rec_all: 0.0474 (0.0474) loss_rec_sfr: 0.0538 (0.0640) loss_cl: -0.3677 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [12:36:43.411488] Epoch: [395] [100/850] eta: 0:11:13 lr: 0.001323 loss: 0.0111 (0.0111) loss_rec_all: 0.0472 (0.0474) loss_rec_sfr: 0.0710 (0.0655) loss_cl: -0.3677 (-0.3674) time: 0.8626 data: 0.0002 max mem: 29859 [12:37:00.682290] Epoch: [395] [120/850] eta: 0:10:51 lr: 0.001323 loss: 0.0107 (0.0111) loss_rec_all: 0.0470 (0.0474) loss_rec_sfr: 0.0557 (0.0660) loss_cl: -0.3674 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [12:37:17.941662] Epoch: [395] [140/850] eta: 0:10:30 lr: 0.001323 loss: 0.0105 (0.0111) loss_rec_all: 0.0466 (0.0474) loss_rec_sfr: 0.0655 (0.0665) loss_cl: -0.3673 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [12:37:35.211765] Epoch: [395] [160/850] eta: 0:10:10 lr: 0.001323 loss: 0.0105 (0.0111) loss_rec_all: 0.0466 (0.0474) loss_rec_sfr: 0.0502 (0.0660) loss_cl: -0.3676 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [12:37:52.430861] Epoch: [395] [180/850] eta: 0:09:51 lr: 0.001323 loss: 0.0117 (0.0111) loss_rec_all: 0.0480 (0.0474) loss_rec_sfr: 0.0726 (0.0670) loss_cl: -0.3674 (-0.3674) time: 0.8609 data: 0.0001 max mem: 29859 [12:38:09.738098] Epoch: [395] [200/850] eta: 0:09:32 lr: 0.001323 loss: 0.0109 (0.0111) loss_rec_all: 0.0472 (0.0474) loss_rec_sfr: 0.0488 (0.0665) loss_cl: -0.3672 (-0.3674) time: 0.8653 data: 0.0002 max mem: 29859 [12:38:26.998246] Epoch: [395] [220/850] eta: 0:09:13 lr: 0.001323 loss: 0.0115 (0.0113) loss_rec_all: 0.0479 (0.0475) loss_rec_sfr: 0.0759 (0.0674) loss_cl: -0.3670 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [12:38:44.293739] Epoch: [395] [240/850] eta: 0:08:55 lr: 0.001322 loss: 0.0113 (0.0113) loss_rec_all: 0.0477 (0.0476) loss_rec_sfr: 0.0523 (0.0670) loss_cl: -0.3673 (-0.3674) time: 0.8647 data: 0.0002 max mem: 29859 [12:39:01.537034] Epoch: [395] [260/850] eta: 0:08:37 lr: 0.001322 loss: 0.0125 (0.0115) loss_rec_all: 0.0486 (0.0477) loss_rec_sfr: 0.0700 (0.0674) loss_cl: -0.3677 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [12:39:18.839005] Epoch: [395] [280/850] eta: 0:08:19 lr: 0.001322 loss: 0.0122 (0.0116) loss_rec_all: 0.0485 (0.0478) loss_rec_sfr: 0.0697 (0.0678) loss_cl: -0.3678 (-0.3674) time: 0.8651 data: 0.0002 max mem: 29859 [12:39:36.079490] Epoch: [395] [300/850] eta: 0:08:01 lr: 0.001322 loss: 0.0110 (0.0116) loss_rec_all: 0.0472 (0.0479) loss_rec_sfr: 0.0549 (0.0673) loss_cl: -0.3676 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [12:39:53.393102] Epoch: [395] [320/850] eta: 0:07:43 lr: 0.001322 loss: 0.0112 (0.0116) loss_rec_all: 0.0476 (0.0479) loss_rec_sfr: 0.0543 (0.0671) loss_cl: -0.3673 (-0.3674) time: 0.8656 data: 0.0002 max mem: 29859 [12:40:10.628287] Epoch: [395] [340/850] eta: 0:07:25 lr: 0.001322 loss: 0.0120 (0.0117) loss_rec_all: 0.0483 (0.0479) loss_rec_sfr: 0.0702 (0.0675) loss_cl: -0.3677 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [12:40:27.883406] Epoch: [395] [360/850] eta: 0:07:07 lr: 0.001322 loss: 0.0125 (0.0117) loss_rec_all: 0.0485 (0.0480) loss_rec_sfr: 0.0663 (0.0675) loss_cl: -0.3678 (-0.3674) time: 0.8627 data: 0.0003 max mem: 29859 [12:40:45.119549] Epoch: [395] [380/850] eta: 0:06:50 lr: 0.001322 loss: 0.0108 (0.0117) loss_rec_all: 0.0473 (0.0480) loss_rec_sfr: 0.0532 (0.0674) loss_cl: -0.3677 (-0.3675) time: 0.8618 data: 0.0002 max mem: 29859 [12:41:02.398596] Epoch: [395] [400/850] eta: 0:06:32 lr: 0.001321 loss: 0.0107 (0.0117) loss_rec_all: 0.0472 (0.0479) loss_rec_sfr: 0.0488 (0.0670) loss_cl: -0.3670 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [12:41:19.652365] Epoch: [395] [420/850] eta: 0:06:14 lr: 0.001321 loss: 0.0101 (0.0116) loss_rec_all: 0.0463 (0.0479) loss_rec_sfr: 0.0500 (0.0669) loss_cl: -0.3670 (-0.3674) time: 0.8626 data: 0.0002 max mem: 29859 [12:41:36.940543] Epoch: [395] [440/850] eta: 0:05:57 lr: 0.001321 loss: 0.0102 (0.0116) loss_rec_all: 0.0464 (0.0479) loss_rec_sfr: 0.0482 (0.0667) loss_cl: -0.3665 (-0.3674) time: 0.8644 data: 0.0002 max mem: 29859 [12:41:54.204892] Epoch: [395] [460/850] eta: 0:05:39 lr: 0.001321 loss: 0.0122 (0.0116) loss_rec_all: 0.0483 (0.0479) loss_rec_sfr: 0.0679 (0.0669) loss_cl: -0.3668 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [12:42:11.492023] Epoch: [395] [480/850] eta: 0:05:22 lr: 0.001321 loss: 0.0097 (0.0116) loss_rec_all: 0.0459 (0.0478) loss_rec_sfr: 0.0507 (0.0668) loss_cl: -0.3671 (-0.3673) time: 0.8643 data: 0.0002 max mem: 29859 [12:42:28.758023] Epoch: [395] [500/850] eta: 0:05:04 lr: 0.001321 loss: 0.0103 (0.0116) loss_rec_all: 0.0467 (0.0478) loss_rec_sfr: 0.0650 (0.0666) loss_cl: -0.3677 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [12:42:46.028569] Epoch: [395] [520/850] eta: 0:04:47 lr: 0.001321 loss: 0.0114 (0.0116) loss_rec_all: 0.0475 (0.0479) loss_rec_sfr: 0.0496 (0.0667) loss_cl: -0.3675 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [12:43:03.274333] Epoch: [395] [540/850] eta: 0:04:29 lr: 0.001321 loss: 0.0101 (0.0116) loss_rec_all: 0.0465 (0.0478) loss_rec_sfr: 0.0464 (0.0663) loss_cl: -0.3672 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [12:43:20.553137] Epoch: [395] [560/850] eta: 0:04:12 lr: 0.001321 loss: 0.0117 (0.0116) loss_rec_all: 0.0481 (0.0479) loss_rec_sfr: 0.0673 (0.0662) loss_cl: -0.3677 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [12:43:37.809068] Epoch: [395] [580/850] eta: 0:03:54 lr: 0.001320 loss: 0.0107 (0.0116) loss_rec_all: 0.0470 (0.0478) loss_rec_sfr: 0.0520 (0.0662) loss_cl: -0.3678 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [12:43:55.103149] Epoch: [395] [600/850] eta: 0:03:37 lr: 0.001320 loss: 0.0107 (0.0116) loss_rec_all: 0.0472 (0.0478) loss_rec_sfr: 0.0517 (0.0661) loss_cl: -0.3679 (-0.3674) time: 0.8647 data: 0.0002 max mem: 29859 [12:44:12.349855] Epoch: [395] [620/850] eta: 0:03:19 lr: 0.001320 loss: 0.0105 (0.0115) loss_rec_all: 0.0468 (0.0478) loss_rec_sfr: 0.0503 (0.0660) loss_cl: -0.3675 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [12:44:29.658338] Epoch: [395] [640/850] eta: 0:03:02 lr: 0.001320 loss: 0.0115 (0.0115) loss_rec_all: 0.0476 (0.0478) loss_rec_sfr: 0.0676 (0.0662) loss_cl: -0.3671 (-0.3674) time: 0.8654 data: 0.0002 max mem: 29859 [12:44:46.893039] Epoch: [395] [660/850] eta: 0:02:45 lr: 0.001320 loss: 0.0122 (0.0116) loss_rec_all: 0.0484 (0.0478) loss_rec_sfr: 0.0682 (0.0663) loss_cl: -0.3673 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [12:45:04.194668] Epoch: [395] [680/850] eta: 0:02:27 lr: 0.001320 loss: 0.0107 (0.0115) loss_rec_all: 0.0468 (0.0478) loss_rec_sfr: 0.0673 (0.0664) loss_cl: -0.3672 (-0.3674) time: 0.8650 data: 0.0002 max mem: 29859 [12:45:21.424061] Epoch: [395] [700/850] eta: 0:02:10 lr: 0.001320 loss: 0.0110 (0.0115) loss_rec_all: 0.0471 (0.0478) loss_rec_sfr: 0.0525 (0.0665) loss_cl: -0.3677 (-0.3674) time: 0.8614 data: 0.0002 max mem: 29859 [12:45:38.713559] Epoch: [395] [720/850] eta: 0:01:52 lr: 0.001320 loss: 0.0103 (0.0115) loss_rec_all: 0.0467 (0.0478) loss_rec_sfr: 0.0493 (0.0664) loss_cl: -0.3682 (-0.3674) time: 0.8644 data: 0.0002 max mem: 29859 [12:45:55.949560] Epoch: [395] [740/850] eta: 0:01:35 lr: 0.001320 loss: 0.0131 (0.0116) loss_rec_all: 0.0492 (0.0478) loss_rec_sfr: 0.0691 (0.0669) loss_cl: -0.3678 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [12:46:13.224893] Epoch: [395] [760/850] eta: 0:01:18 lr: 0.001319 loss: 0.0129 (0.0116) loss_rec_all: 0.0490 (0.0479) loss_rec_sfr: 0.0748 (0.0673) loss_cl: -0.3676 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [12:46:30.465908] Epoch: [395] [780/850] eta: 0:01:00 lr: 0.001319 loss: 0.0115 (0.0116) loss_rec_all: 0.0477 (0.0479) loss_rec_sfr: 0.0674 (0.0673) loss_cl: -0.3671 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [12:46:47.738087] Epoch: [395] [800/850] eta: 0:00:43 lr: 0.001319 loss: 0.0127 (0.0116) loss_rec_all: 0.0487 (0.0479) loss_rec_sfr: 0.0676 (0.0675) loss_cl: -0.3668 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [12:47:04.985175] Epoch: [395] [820/850] eta: 0:00:26 lr: 0.001319 loss: 0.0133 (0.0117) loss_rec_all: 0.0494 (0.0479) loss_rec_sfr: 0.0622 (0.0677) loss_cl: -0.3671 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [12:47:22.264679] Epoch: [395] [840/850] eta: 0:00:08 lr: 0.001319 loss: 0.0124 (0.0117) loss_rec_all: 0.0487 (0.0480) loss_rec_sfr: 0.0636 (0.0678) loss_cl: -0.3674 (-0.3674) time: 0.8639 data: 0.0005 max mem: 29859 [12:47:30.043487] Epoch: [395] [849/850] eta: 0:00:00 lr: 0.001319 loss: 0.0124 (0.0117) loss_rec_all: 0.0487 (0.0480) loss_rec_sfr: 0.0614 (0.0678) loss_cl: -0.3674 (-0.3674) time: 0.8648 data: 0.0004 max mem: 29859 [12:47:30.198598] Epoch: [395] Total time: 0:12:17 (0.8676 s / it) [12:47:30.201026] Averaged stats: lr: 0.001319 loss: 0.0124 (0.0117) loss_rec_all: 0.0487 (0.0480) loss_rec_sfr: 0.0614 (0.0670) loss_cl: -0.3674 (-0.3674) [12:47:30.213957] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [12:47:34.638679] Epoch: [396] [ 0/850] eta: 1:02:40 lr: 0.001319 loss: 0.0121 (0.0121) loss_rec_all: 0.0485 (0.0485) loss_rec_sfr: 0.0461 (0.0461) loss_cl: -0.3671 (-0.3671) time: 4.4239 data: 3.4983 max mem: 29859 [12:47:51.849100] Epoch: [396] [ 20/850] eta: 0:14:15 lr: 0.001319 loss: 0.0113 (0.0120) loss_rec_all: 0.0477 (0.0483) loss_rec_sfr: 0.0517 (0.0667) loss_cl: -0.3676 (-0.3675) time: 0.8605 data: 0.0002 max mem: 29859 [12:48:09.101216] Epoch: [396] [ 40/850] eta: 0:12:48 lr: 0.001319 loss: 0.0112 (0.0119) loss_rec_all: 0.0472 (0.0481) loss_rec_sfr: 0.0670 (0.0677) loss_cl: -0.3676 (-0.3675) time: 0.8626 data: 0.0002 max mem: 29859 [12:48:26.348084] Epoch: [396] [ 60/850] eta: 0:12:06 lr: 0.001319 loss: 0.0121 (0.0121) loss_rec_all: 0.0481 (0.0483) loss_rec_sfr: 0.0744 (0.0697) loss_cl: -0.3670 (-0.3673) time: 0.8623 data: 0.0002 max mem: 29859 [12:48:43.615624] Epoch: [396] [ 80/850] eta: 0:11:37 lr: 0.001318 loss: 0.0100 (0.0118) loss_rec_all: 0.0463 (0.0481) loss_rec_sfr: 0.0491 (0.0671) loss_cl: -0.3668 (-0.3672) time: 0.8633 data: 0.0002 max mem: 29859 [12:49:00.858104] Epoch: [396] [100/850] eta: 0:11:13 lr: 0.001318 loss: 0.0108 (0.0117) loss_rec_all: 0.0472 (0.0480) loss_rec_sfr: 0.0684 (0.0675) loss_cl: -0.3673 (-0.3672) time: 0.8621 data: 0.0002 max mem: 29859 [12:49:18.144832] Epoch: [396] [120/850] eta: 0:10:51 lr: 0.001318 loss: 0.0108 (0.0116) loss_rec_all: 0.0472 (0.0478) loss_rec_sfr: 0.0481 (0.0668) loss_cl: -0.3670 (-0.3671) time: 0.8643 data: 0.0002 max mem: 29859 [12:49:35.399793] Epoch: [396] [140/850] eta: 0:10:30 lr: 0.001318 loss: 0.0117 (0.0117) loss_rec_all: 0.0480 (0.0479) loss_rec_sfr: 0.0752 (0.0686) loss_cl: -0.3674 (-0.3672) time: 0.8627 data: 0.0002 max mem: 29859 [12:49:52.689809] Epoch: [396] [160/850] eta: 0:10:10 lr: 0.001318 loss: 0.0093 (0.0114) loss_rec_all: 0.0457 (0.0477) loss_rec_sfr: 0.0483 (0.0675) loss_cl: -0.3676 (-0.3672) time: 0.8644 data: 0.0002 max mem: 29859 [12:50:09.942188] Epoch: [396] [180/850] eta: 0:09:51 lr: 0.001318 loss: 0.0106 (0.0114) loss_rec_all: 0.0470 (0.0476) loss_rec_sfr: 0.0678 (0.0678) loss_cl: -0.3670 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [12:50:27.220040] Epoch: [396] [200/850] eta: 0:09:32 lr: 0.001318 loss: 0.0103 (0.0113) loss_rec_all: 0.0466 (0.0475) loss_rec_sfr: 0.0510 (0.0669) loss_cl: -0.3673 (-0.3672) time: 0.8638 data: 0.0002 max mem: 29859 [12:50:44.456272] Epoch: [396] [220/850] eta: 0:09:13 lr: 0.001318 loss: 0.0099 (0.0112) loss_rec_all: 0.0463 (0.0475) loss_rec_sfr: 0.0542 (0.0666) loss_cl: -0.3678 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [12:51:01.745844] Epoch: [396] [240/850] eta: 0:08:55 lr: 0.001317 loss: 0.0103 (0.0112) loss_rec_all: 0.0468 (0.0475) loss_rec_sfr: 0.0564 (0.0665) loss_cl: -0.3679 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [12:51:18.982235] Epoch: [396] [260/850] eta: 0:08:37 lr: 0.001317 loss: 0.0115 (0.0113) loss_rec_all: 0.0476 (0.0475) loss_rec_sfr: 0.0810 (0.0675) loss_cl: -0.3678 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [12:51:36.282178] Epoch: [396] [280/850] eta: 0:08:19 lr: 0.001317 loss: 0.0094 (0.0112) loss_rec_all: 0.0458 (0.0474) loss_rec_sfr: 0.0459 (0.0671) loss_cl: -0.3675 (-0.3673) time: 0.8649 data: 0.0002 max mem: 29859 [12:51:53.516958] Epoch: [396] [300/850] eta: 0:08:01 lr: 0.001317 loss: 0.0103 (0.0111) loss_rec_all: 0.0463 (0.0474) loss_rec_sfr: 0.0631 (0.0670) loss_cl: -0.3676 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [12:52:10.805917] Epoch: [396] [320/850] eta: 0:07:43 lr: 0.001317 loss: 0.0102 (0.0111) loss_rec_all: 0.0465 (0.0474) loss_rec_sfr: 0.0489 (0.0668) loss_cl: -0.3671 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [12:52:28.038380] Epoch: [396] [340/850] eta: 0:07:25 lr: 0.001317 loss: 0.0108 (0.0111) loss_rec_all: 0.0469 (0.0473) loss_rec_sfr: 0.0504 (0.0665) loss_cl: -0.3668 (-0.3673) time: 0.8616 data: 0.0002 max mem: 29859 [12:52:45.327420] Epoch: [396] [360/850] eta: 0:07:07 lr: 0.001317 loss: 0.0108 (0.0111) loss_rec_all: 0.0470 (0.0473) loss_rec_sfr: 0.0681 (0.0667) loss_cl: -0.3671 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [12:53:02.562005] Epoch: [396] [380/850] eta: 0:06:49 lr: 0.001317 loss: 0.0107 (0.0111) loss_rec_all: 0.0471 (0.0473) loss_rec_sfr: 0.0652 (0.0668) loss_cl: -0.3673 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [12:53:19.838176] Epoch: [396] [400/850] eta: 0:06:32 lr: 0.001317 loss: 0.0102 (0.0111) loss_rec_all: 0.0467 (0.0473) loss_rec_sfr: 0.0489 (0.0665) loss_cl: -0.3676 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [12:53:37.096420] Epoch: [396] [420/850] eta: 0:06:14 lr: 0.001316 loss: 0.0105 (0.0110) loss_rec_all: 0.0469 (0.0473) loss_rec_sfr: 0.0467 (0.0661) loss_cl: -0.3674 (-0.3673) time: 0.8629 data: 0.0002 max mem: 29859 [12:53:54.361874] Epoch: [396] [440/850] eta: 0:05:57 lr: 0.001316 loss: 0.0110 (0.0110) loss_rec_all: 0.0471 (0.0473) loss_rec_sfr: 0.0484 (0.0662) loss_cl: -0.3675 (-0.3673) time: 0.8632 data: 0.0002 max mem: 29859 [12:54:11.619680] Epoch: [396] [460/850] eta: 0:05:39 lr: 0.001316 loss: 0.0108 (0.0110) loss_rec_all: 0.0472 (0.0473) loss_rec_sfr: 0.0490 (0.0660) loss_cl: -0.3675 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [12:54:28.908682] Epoch: [396] [480/850] eta: 0:05:22 lr: 0.001316 loss: 0.0105 (0.0110) loss_rec_all: 0.0468 (0.0473) loss_rec_sfr: 0.0680 (0.0660) loss_cl: -0.3675 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [12:54:46.147099] Epoch: [396] [500/850] eta: 0:05:04 lr: 0.001316 loss: 0.0127 (0.0111) loss_rec_all: 0.0488 (0.0474) loss_rec_sfr: 0.0707 (0.0663) loss_cl: -0.3676 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [12:55:03.425156] Epoch: [396] [520/850] eta: 0:04:47 lr: 0.001316 loss: 0.0118 (0.0112) loss_rec_all: 0.0483 (0.0474) loss_rec_sfr: 0.0502 (0.0661) loss_cl: -0.3678 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [12:55:20.667162] Epoch: [396] [540/850] eta: 0:04:29 lr: 0.001316 loss: 0.0104 (0.0112) loss_rec_all: 0.0469 (0.0475) loss_rec_sfr: 0.0482 (0.0662) loss_cl: -0.3678 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [12:55:37.946823] Epoch: [396] [560/850] eta: 0:04:12 lr: 0.001316 loss: 0.0121 (0.0112) loss_rec_all: 0.0482 (0.0475) loss_rec_sfr: 0.0674 (0.0662) loss_cl: -0.3678 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [12:55:55.195145] Epoch: [396] [580/850] eta: 0:03:54 lr: 0.001316 loss: 0.0102 (0.0112) loss_rec_all: 0.0466 (0.0475) loss_rec_sfr: 0.0478 (0.0659) loss_cl: -0.3674 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [12:56:12.483896] Epoch: [396] [600/850] eta: 0:03:37 lr: 0.001315 loss: 0.0102 (0.0112) loss_rec_all: 0.0466 (0.0475) loss_rec_sfr: 0.0488 (0.0657) loss_cl: -0.3674 (-0.3674) time: 0.8644 data: 0.0002 max mem: 29859 [12:56:29.718610] Epoch: [396] [620/850] eta: 0:03:19 lr: 0.001315 loss: 0.0105 (0.0112) loss_rec_all: 0.0468 (0.0475) loss_rec_sfr: 0.0517 (0.0656) loss_cl: -0.3676 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [12:56:46.990376] Epoch: [396] [640/850] eta: 0:03:02 lr: 0.001315 loss: 0.0106 (0.0112) loss_rec_all: 0.0468 (0.0474) loss_rec_sfr: 0.0517 (0.0655) loss_cl: -0.3673 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [12:57:04.224829] Epoch: [396] [660/850] eta: 0:02:44 lr: 0.001315 loss: 0.0104 (0.0112) loss_rec_all: 0.0467 (0.0474) loss_rec_sfr: 0.0480 (0.0655) loss_cl: -0.3672 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [12:57:21.500569] Epoch: [396] [680/850] eta: 0:02:27 lr: 0.001315 loss: 0.0115 (0.0112) loss_rec_all: 0.0477 (0.0475) loss_rec_sfr: 0.0815 (0.0659) loss_cl: -0.3673 (-0.3674) time: 0.8637 data: 0.0002 max mem: 29859 [12:57:38.736217] Epoch: [396] [700/850] eta: 0:02:10 lr: 0.001315 loss: 0.0130 (0.0112) loss_rec_all: 0.0490 (0.0475) loss_rec_sfr: 0.0727 (0.0662) loss_cl: -0.3674 (-0.3674) time: 0.8617 data: 0.0002 max mem: 29859 [12:57:56.017378] Epoch: [396] [720/850] eta: 0:01:52 lr: 0.001315 loss: 0.0117 (0.0112) loss_rec_all: 0.0480 (0.0475) loss_rec_sfr: 0.0709 (0.0664) loss_cl: -0.3678 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [12:58:13.264110] Epoch: [396] [740/850] eta: 0:01:35 lr: 0.001315 loss: 0.0107 (0.0112) loss_rec_all: 0.0470 (0.0475) loss_rec_sfr: 0.0663 (0.0665) loss_cl: -0.3679 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [12:58:30.558875] Epoch: [396] [760/850] eta: 0:01:18 lr: 0.001314 loss: 0.0115 (0.0113) loss_rec_all: 0.0479 (0.0475) loss_rec_sfr: 0.0659 (0.0666) loss_cl: -0.3679 (-0.3674) time: 0.8647 data: 0.0002 max mem: 29859 [12:58:47.806590] Epoch: [396] [780/850] eta: 0:01:00 lr: 0.001314 loss: 0.0108 (0.0113) loss_rec_all: 0.0472 (0.0475) loss_rec_sfr: 0.0537 (0.0666) loss_cl: -0.3674 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [12:59:05.078878] Epoch: [396] [800/850] eta: 0:00:43 lr: 0.001314 loss: 0.0117 (0.0113) loss_rec_all: 0.0477 (0.0475) loss_rec_sfr: 0.0646 (0.0666) loss_cl: -0.3669 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [12:59:22.322387] Epoch: [396] [820/850] eta: 0:00:26 lr: 0.001314 loss: 0.0108 (0.0113) loss_rec_all: 0.0472 (0.0476) loss_rec_sfr: 0.0501 (0.0665) loss_cl: -0.3669 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [12:59:39.631708] Epoch: [396] [840/850] eta: 0:00:08 lr: 0.001314 loss: 0.0111 (0.0113) loss_rec_all: 0.0472 (0.0475) loss_rec_sfr: 0.0503 (0.0664) loss_cl: -0.3669 (-0.3674) time: 0.8654 data: 0.0011 max mem: 29859 [12:59:47.388651] Epoch: [396] [849/850] eta: 0:00:00 lr: 0.001314 loss: 0.0111 (0.0113) loss_rec_all: 0.0472 (0.0476) loss_rec_sfr: 0.0484 (0.0664) loss_cl: -0.3669 (-0.3674) time: 0.8649 data: 0.0011 max mem: 29859 [12:59:47.527746] Epoch: [396] Total time: 0:12:17 (0.8674 s / it) [12:59:47.529885] Averaged stats: lr: 0.001314 loss: 0.0111 (0.0113) loss_rec_all: 0.0472 (0.0475) loss_rec_sfr: 0.0484 (0.0660) loss_cl: -0.3669 (-0.3674) [12:59:47.561113] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [12:59:53.165085] Epoch: [397] [ 0/850] eta: 1:19:22 lr: 0.001314 loss: 0.0124 (0.0124) loss_rec_all: 0.0484 (0.0484) loss_rec_sfr: 0.0975 (0.0975) loss_cl: -0.3674 (-0.3674) time: 5.6030 data: 4.7425 max mem: 29859 [13:00:10.342214] Epoch: [397] [ 20/850] eta: 0:15:00 lr: 0.001314 loss: 0.0092 (0.0102) loss_rec_all: 0.0456 (0.0466) loss_rec_sfr: 0.0477 (0.0597) loss_cl: -0.3679 (-0.3678) time: 0.8588 data: 0.0002 max mem: 29859 [13:00:27.586143] Epoch: [397] [ 40/850] eta: 0:13:10 lr: 0.001314 loss: 0.0094 (0.0102) loss_rec_all: 0.0458 (0.0466) loss_rec_sfr: 0.0456 (0.0600) loss_cl: -0.3678 (-0.3679) time: 0.8621 data: 0.0002 max mem: 29859 [13:00:44.814023] Epoch: [397] [ 60/850] eta: 0:12:21 lr: 0.001314 loss: 0.0111 (0.0105) loss_rec_all: 0.0474 (0.0469) loss_rec_sfr: 0.0653 (0.0626) loss_cl: -0.3682 (-0.3679) time: 0.8613 data: 0.0002 max mem: 29859 [13:01:02.070043] Epoch: [397] [ 80/850] eta: 0:11:48 lr: 0.001313 loss: 0.0104 (0.0108) loss_rec_all: 0.0468 (0.0471) loss_rec_sfr: 0.0729 (0.0645) loss_cl: -0.3680 (-0.3680) time: 0.8627 data: 0.0002 max mem: 29859 [13:01:19.301701] Epoch: [397] [100/850] eta: 0:11:21 lr: 0.001313 loss: 0.0115 (0.0109) loss_rec_all: 0.0476 (0.0472) loss_rec_sfr: 0.0636 (0.0651) loss_cl: -0.3680 (-0.3679) time: 0.8615 data: 0.0002 max mem: 29859 [13:01:36.573463] Epoch: [397] [120/850] eta: 0:10:57 lr: 0.001313 loss: 0.0119 (0.0110) loss_rec_all: 0.0479 (0.0473) loss_rec_sfr: 0.0678 (0.0654) loss_cl: -0.3671 (-0.3678) time: 0.8635 data: 0.0002 max mem: 29859 [13:01:53.802068] Epoch: [397] [140/850] eta: 0:10:35 lr: 0.001313 loss: 0.0113 (0.0111) loss_rec_all: 0.0473 (0.0474) loss_rec_sfr: 0.0681 (0.0660) loss_cl: -0.3669 (-0.3676) time: 0.8614 data: 0.0002 max mem: 29859 [13:02:11.058081] Epoch: [397] [160/850] eta: 0:10:14 lr: 0.001313 loss: 0.0111 (0.0112) loss_rec_all: 0.0473 (0.0474) loss_rec_sfr: 0.0508 (0.0661) loss_cl: -0.3666 (-0.3675) time: 0.8628 data: 0.0002 max mem: 29859 [13:02:28.281067] Epoch: [397] [180/850] eta: 0:09:54 lr: 0.001313 loss: 0.0115 (0.0112) loss_rec_all: 0.0479 (0.0475) loss_rec_sfr: 0.0547 (0.0661) loss_cl: -0.3670 (-0.3674) time: 0.8611 data: 0.0002 max mem: 29859 [13:02:45.553036] Epoch: [397] [200/850] eta: 0:09:35 lr: 0.001313 loss: 0.0111 (0.0112) loss_rec_all: 0.0474 (0.0475) loss_rec_sfr: 0.0539 (0.0660) loss_cl: -0.3671 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [13:03:02.799142] Epoch: [397] [220/850] eta: 0:09:16 lr: 0.001313 loss: 0.0098 (0.0112) loss_rec_all: 0.0462 (0.0475) loss_rec_sfr: 0.0508 (0.0658) loss_cl: -0.3676 (-0.3674) time: 0.8623 data: 0.0002 max mem: 29859 [13:03:20.079894] Epoch: [397] [240/850] eta: 0:08:57 lr: 0.001313 loss: 0.0098 (0.0111) loss_rec_all: 0.0463 (0.0474) loss_rec_sfr: 0.0474 (0.0654) loss_cl: -0.3683 (-0.3675) time: 0.8640 data: 0.0002 max mem: 29859 [13:03:37.373134] Epoch: [397] [260/850] eta: 0:08:39 lr: 0.001312 loss: 0.0102 (0.0111) loss_rec_all: 0.0466 (0.0474) loss_rec_sfr: 0.0510 (0.0654) loss_cl: -0.3678 (-0.3675) time: 0.8646 data: 0.0003 max mem: 29859 [13:03:54.661862] Epoch: [397] [280/850] eta: 0:08:21 lr: 0.001312 loss: 0.0103 (0.0110) loss_rec_all: 0.0467 (0.0473) loss_rec_sfr: 0.0490 (0.0653) loss_cl: -0.3678 (-0.3675) time: 0.8644 data: 0.0003 max mem: 29859 [13:04:11.892740] Epoch: [397] [300/850] eta: 0:08:02 lr: 0.001312 loss: 0.0112 (0.0111) loss_rec_all: 0.0477 (0.0474) loss_rec_sfr: 0.0521 (0.0652) loss_cl: -0.3678 (-0.3676) time: 0.8615 data: 0.0002 max mem: 29859 [13:04:29.180545] Epoch: [397] [320/850] eta: 0:07:44 lr: 0.001312 loss: 0.0117 (0.0111) loss_rec_all: 0.0478 (0.0474) loss_rec_sfr: 0.0715 (0.0654) loss_cl: -0.3677 (-0.3676) time: 0.8643 data: 0.0003 max mem: 29859 [13:04:46.413553] Epoch: [397] [340/850] eta: 0:07:26 lr: 0.001312 loss: 0.0106 (0.0112) loss_rec_all: 0.0469 (0.0475) loss_rec_sfr: 0.0514 (0.0655) loss_cl: -0.3671 (-0.3675) time: 0.8616 data: 0.0002 max mem: 29859 [13:05:03.697102] Epoch: [397] [360/850] eta: 0:07:09 lr: 0.001312 loss: 0.0108 (0.0112) loss_rec_all: 0.0471 (0.0475) loss_rec_sfr: 0.0497 (0.0653) loss_cl: -0.3671 (-0.3675) time: 0.8640 data: 0.0003 max mem: 29859 [13:05:20.930803] Epoch: [397] [380/850] eta: 0:06:51 lr: 0.001312 loss: 0.0110 (0.0112) loss_rec_all: 0.0473 (0.0475) loss_rec_sfr: 0.0571 (0.0654) loss_cl: -0.3669 (-0.3675) time: 0.8616 data: 0.0002 max mem: 29859 [13:05:38.206191] Epoch: [397] [400/850] eta: 0:06:33 lr: 0.001312 loss: 0.0105 (0.0112) loss_rec_all: 0.0468 (0.0475) loss_rec_sfr: 0.0556 (0.0653) loss_cl: -0.3671 (-0.3675) time: 0.8637 data: 0.0002 max mem: 29859 [13:05:55.448618] Epoch: [397] [420/850] eta: 0:06:15 lr: 0.001312 loss: 0.0113 (0.0112) loss_rec_all: 0.0474 (0.0475) loss_rec_sfr: 0.0652 (0.0656) loss_cl: -0.3672 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [13:06:12.716568] Epoch: [397] [440/850] eta: 0:05:58 lr: 0.001311 loss: 0.0107 (0.0112) loss_rec_all: 0.0471 (0.0475) loss_rec_sfr: 0.0530 (0.0657) loss_cl: -0.3673 (-0.3674) time: 0.8633 data: 0.0002 max mem: 29859 [13:06:29.965900] Epoch: [397] [460/850] eta: 0:05:40 lr: 0.001311 loss: 0.0120 (0.0112) loss_rec_all: 0.0483 (0.0475) loss_rec_sfr: 0.0637 (0.0656) loss_cl: -0.3673 (-0.3674) time: 0.8624 data: 0.0002 max mem: 29859 [13:06:47.228718] Epoch: [397] [480/850] eta: 0:05:22 lr: 0.001311 loss: 0.0107 (0.0112) loss_rec_all: 0.0468 (0.0475) loss_rec_sfr: 0.0660 (0.0659) loss_cl: -0.3680 (-0.3675) time: 0.8631 data: 0.0002 max mem: 29859 [13:07:04.482431] Epoch: [397] [500/850] eta: 0:05:05 lr: 0.001311 loss: 0.0113 (0.0112) loss_rec_all: 0.0475 (0.0475) loss_rec_sfr: 0.0674 (0.0660) loss_cl: -0.3680 (-0.3675) time: 0.8625 data: 0.0002 max mem: 29859 [13:07:21.747158] Epoch: [397] [520/850] eta: 0:04:47 lr: 0.001311 loss: 0.0113 (0.0112) loss_rec_all: 0.0474 (0.0475) loss_rec_sfr: 0.0635 (0.0661) loss_cl: -0.3677 (-0.3675) time: 0.8632 data: 0.0002 max mem: 29859 [13:07:38.955010] Epoch: [397] [540/850] eta: 0:04:30 lr: 0.001311 loss: 0.0103 (0.0112) loss_rec_all: 0.0466 (0.0475) loss_rec_sfr: 0.0477 (0.0657) loss_cl: -0.3672 (-0.3675) time: 0.8603 data: 0.0002 max mem: 29859 [13:07:56.241099] Epoch: [397] [560/850] eta: 0:04:12 lr: 0.001311 loss: 0.0102 (0.0112) loss_rec_all: 0.0466 (0.0475) loss_rec_sfr: 0.0458 (0.0654) loss_cl: -0.3668 (-0.3674) time: 0.8642 data: 0.0002 max mem: 29859 [13:08:13.480088] Epoch: [397] [580/850] eta: 0:03:55 lr: 0.001311 loss: 0.0113 (0.0112) loss_rec_all: 0.0475 (0.0475) loss_rec_sfr: 0.0545 (0.0654) loss_cl: -0.3669 (-0.3674) time: 0.8619 data: 0.0002 max mem: 29859 [13:08:30.772762] Epoch: [397] [600/850] eta: 0:03:37 lr: 0.001310 loss: 0.0109 (0.0112) loss_rec_all: 0.0472 (0.0475) loss_rec_sfr: 0.0558 (0.0654) loss_cl: -0.3671 (-0.3674) time: 0.8645 data: 0.0002 max mem: 29859 [13:08:47.996887] Epoch: [397] [620/850] eta: 0:03:20 lr: 0.001310 loss: 0.0129 (0.0112) loss_rec_all: 0.0490 (0.0475) loss_rec_sfr: 0.0700 (0.0656) loss_cl: -0.3678 (-0.3674) time: 0.8611 data: 0.0003 max mem: 29859 [13:09:05.268323] Epoch: [397] [640/850] eta: 0:03:02 lr: 0.001310 loss: 0.0112 (0.0113) loss_rec_all: 0.0476 (0.0476) loss_rec_sfr: 0.0545 (0.0657) loss_cl: -0.3683 (-0.3674) time: 0.8635 data: 0.0003 max mem: 29859 [13:09:22.510622] Epoch: [397] [660/850] eta: 0:02:45 lr: 0.001310 loss: 0.0117 (0.0113) loss_rec_all: 0.0480 (0.0476) loss_rec_sfr: 0.0668 (0.0658) loss_cl: -0.3673 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [13:09:39.773670] Epoch: [397] [680/850] eta: 0:02:27 lr: 0.001310 loss: 0.0109 (0.0113) loss_rec_all: 0.0471 (0.0476) loss_rec_sfr: 0.0521 (0.0657) loss_cl: -0.3671 (-0.3674) time: 0.8631 data: 0.0002 max mem: 29859 [13:09:57.016292] Epoch: [397] [700/850] eta: 0:02:10 lr: 0.001310 loss: 0.0109 (0.0113) loss_rec_all: 0.0471 (0.0476) loss_rec_sfr: 0.0666 (0.0658) loss_cl: -0.3667 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [13:10:14.285261] Epoch: [397] [720/850] eta: 0:01:52 lr: 0.001310 loss: 0.0098 (0.0113) loss_rec_all: 0.0462 (0.0475) loss_rec_sfr: 0.0485 (0.0654) loss_cl: -0.3670 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [13:10:31.538248] Epoch: [397] [740/850] eta: 0:01:35 lr: 0.001310 loss: 0.0106 (0.0113) loss_rec_all: 0.0470 (0.0475) loss_rec_sfr: 0.0507 (0.0653) loss_cl: -0.3672 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [13:10:48.819457] Epoch: [397] [760/850] eta: 0:01:18 lr: 0.001310 loss: 0.0103 (0.0112) loss_rec_all: 0.0468 (0.0475) loss_rec_sfr: 0.0470 (0.0651) loss_cl: -0.3674 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [13:11:06.039373] Epoch: [397] [780/850] eta: 0:01:00 lr: 0.001309 loss: 0.0099 (0.0112) loss_rec_all: 0.0463 (0.0475) loss_rec_sfr: 0.0468 (0.0649) loss_cl: -0.3678 (-0.3674) time: 0.8609 data: 0.0002 max mem: 29859 [13:11:23.331491] Epoch: [397] [800/850] eta: 0:00:43 lr: 0.001309 loss: 0.0106 (0.0112) loss_rec_all: 0.0469 (0.0475) loss_rec_sfr: 0.0516 (0.0649) loss_cl: -0.3680 (-0.3674) time: 0.8646 data: 0.0002 max mem: 29859 [13:11:40.565291] Epoch: [397] [820/850] eta: 0:00:26 lr: 0.001309 loss: 0.0113 (0.0112) loss_rec_all: 0.0475 (0.0475) loss_rec_sfr: 0.0562 (0.0648) loss_cl: -0.3674 (-0.3674) time: 0.8616 data: 0.0002 max mem: 29859 [13:11:57.884078] Epoch: [397] [840/850] eta: 0:00:08 lr: 0.001309 loss: 0.0108 (0.0112) loss_rec_all: 0.0471 (0.0475) loss_rec_sfr: 0.0476 (0.0647) loss_cl: -0.3671 (-0.3674) time: 0.8659 data: 0.0006 max mem: 29859 [13:12:05.638790] Epoch: [397] [849/850] eta: 0:00:00 lr: 0.001309 loss: 0.0105 (0.0113) loss_rec_all: 0.0469 (0.0475) loss_rec_sfr: 0.0481 (0.0647) loss_cl: -0.3671 (-0.3674) time: 0.8653 data: 0.0005 max mem: 29859 [13:12:05.770067] Epoch: [397] Total time: 0:12:18 (0.8685 s / it) [13:12:05.772448] Averaged stats: lr: 0.001309 loss: 0.0105 (0.0114) loss_rec_all: 0.0469 (0.0476) loss_rec_sfr: 0.0481 (0.0652) loss_cl: -0.3671 (-0.3674) [13:12:05.784063] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [13:12:10.217468] Epoch: [398] [ 0/850] eta: 1:02:47 lr: 0.001309 loss: 0.0130 (0.0130) loss_rec_all: 0.0491 (0.0491) loss_rec_sfr: 0.1046 (0.1046) loss_cl: -0.3676 (-0.3676) time: 4.4326 data: 3.5729 max mem: 29859 [13:12:27.409863] Epoch: [398] [ 20/850] eta: 0:14:14 lr: 0.001309 loss: 0.0102 (0.0106) loss_rec_all: 0.0466 (0.0468) loss_rec_sfr: 0.0465 (0.0621) loss_cl: -0.3670 (-0.3670) time: 0.8596 data: 0.0001 max mem: 29859 [13:12:44.659619] Epoch: [398] [ 40/850] eta: 0:12:47 lr: 0.001309 loss: 0.0104 (0.0107) loss_rec_all: 0.0468 (0.0470) loss_rec_sfr: 0.0518 (0.0639) loss_cl: -0.3675 (-0.3672) time: 0.8624 data: 0.0002 max mem: 29859 [13:13:01.873457] Epoch: [398] [ 60/850] eta: 0:12:06 lr: 0.001309 loss: 0.0107 (0.0108) loss_rec_all: 0.0469 (0.0471) loss_rec_sfr: 0.0673 (0.0655) loss_cl: -0.3683 (-0.3675) time: 0.8606 data: 0.0002 max mem: 29859 [13:13:19.156950] Epoch: [398] [ 80/850] eta: 0:11:37 lr: 0.001309 loss: 0.0106 (0.0109) loss_rec_all: 0.0468 (0.0472) loss_rec_sfr: 0.0516 (0.0647) loss_cl: -0.3680 (-0.3676) time: 0.8641 data: 0.0002 max mem: 29859 [13:13:36.392446] Epoch: [398] [100/850] eta: 0:11:12 lr: 0.001308 loss: 0.0104 (0.0108) loss_rec_all: 0.0466 (0.0471) loss_rec_sfr: 0.0521 (0.0652) loss_cl: -0.3681 (-0.3677) time: 0.8617 data: 0.0002 max mem: 29859 [13:13:53.677521] Epoch: [398] [120/850] eta: 0:10:50 lr: 0.001308 loss: 0.0115 (0.0110) loss_rec_all: 0.0477 (0.0473) loss_rec_sfr: 0.0678 (0.0664) loss_cl: -0.3675 (-0.3677) time: 0.8642 data: 0.0002 max mem: 29859 [13:14:10.915484] Epoch: [398] [140/850] eta: 0:10:30 lr: 0.001308 loss: 0.0107 (0.0110) loss_rec_all: 0.0471 (0.0473) loss_rec_sfr: 0.0462 (0.0656) loss_cl: -0.3673 (-0.3676) time: 0.8618 data: 0.0002 max mem: 29859 [13:14:28.198170] Epoch: [398] [160/850] eta: 0:10:10 lr: 0.001308 loss: 0.0100 (0.0110) loss_rec_all: 0.0464 (0.0473) loss_rec_sfr: 0.0520 (0.0648) loss_cl: -0.3672 (-0.3676) time: 0.8641 data: 0.0002 max mem: 29859 [13:14:45.457585] Epoch: [398] [180/850] eta: 0:09:51 lr: 0.001308 loss: 0.0109 (0.0110) loss_rec_all: 0.0470 (0.0473) loss_rec_sfr: 0.0672 (0.0646) loss_cl: -0.3671 (-0.3675) time: 0.8629 data: 0.0002 max mem: 29859 [13:15:02.729477] Epoch: [398] [200/850] eta: 0:09:32 lr: 0.001308 loss: 0.0124 (0.0114) loss_rec_all: 0.0489 (0.0477) loss_rec_sfr: 0.0562 (0.0652) loss_cl: -0.3672 (-0.3675) time: 0.8636 data: 0.0002 max mem: 29859 [13:15:19.984153] Epoch: [398] [220/850] eta: 0:09:13 lr: 0.001308 loss: 0.0147 (0.0117) loss_rec_all: 0.0508 (0.0480) loss_rec_sfr: 0.0882 (0.0668) loss_cl: -0.3674 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [13:15:37.266437] Epoch: [398] [240/850] eta: 0:08:55 lr: 0.001308 loss: 0.0153 (0.0121) loss_rec_all: 0.0516 (0.0483) loss_rec_sfr: 0.0604 (0.0675) loss_cl: -0.3672 (-0.3674) time: 0.8641 data: 0.0002 max mem: 29859 [13:15:54.523182] Epoch: [398] [260/850] eta: 0:08:37 lr: 0.001307 loss: 0.0152 (0.0123) loss_rec_all: 0.0514 (0.0486) loss_rec_sfr: 0.0767 (0.0685) loss_cl: -0.3679 (-0.3675) time: 0.8628 data: 0.0002 max mem: 29859 [13:16:11.803908] Epoch: [398] [280/850] eta: 0:08:19 lr: 0.001307 loss: 0.0140 (0.0125) loss_rec_all: 0.0500 (0.0487) loss_rec_sfr: 0.0762 (0.0690) loss_cl: -0.3681 (-0.3675) time: 0.8640 data: 0.0002 max mem: 29859 [13:16:29.036975] Epoch: [398] [300/850] eta: 0:08:00 lr: 0.001307 loss: 0.0122 (0.0125) loss_rec_all: 0.0485 (0.0488) loss_rec_sfr: 0.0510 (0.0686) loss_cl: -0.3680 (-0.3675) time: 0.8616 data: 0.0002 max mem: 29859 [13:16:46.337874] Epoch: [398] [320/850] eta: 0:07:43 lr: 0.001307 loss: 0.0124 (0.0125) loss_rec_all: 0.0487 (0.0488) loss_rec_sfr: 0.0730 (0.0687) loss_cl: -0.3678 (-0.3676) time: 0.8650 data: 0.0002 max mem: 29859 [13:17:03.576650] Epoch: [398] [340/850] eta: 0:07:25 lr: 0.001307 loss: 0.0121 (0.0125) loss_rec_all: 0.0485 (0.0488) loss_rec_sfr: 0.0679 (0.0686) loss_cl: -0.3674 (-0.3675) time: 0.8619 data: 0.0002 max mem: 29859 [13:17:20.884533] Epoch: [398] [360/850] eta: 0:07:07 lr: 0.001307 loss: 0.0124 (0.0125) loss_rec_all: 0.0485 (0.0488) loss_rec_sfr: 0.0784 (0.0691) loss_cl: -0.3669 (-0.3675) time: 0.8653 data: 0.0002 max mem: 29859 [13:17:38.132576] Epoch: [398] [380/850] eta: 0:06:49 lr: 0.001307 loss: 0.0108 (0.0124) loss_rec_all: 0.0470 (0.0487) loss_rec_sfr: 0.0631 (0.0690) loss_cl: -0.3667 (-0.3675) time: 0.8623 data: 0.0002 max mem: 29859 [13:17:55.422239] Epoch: [398] [400/850] eta: 0:06:32 lr: 0.001307 loss: 0.0107 (0.0124) loss_rec_all: 0.0470 (0.0486) loss_rec_sfr: 0.0515 (0.0688) loss_cl: -0.3672 (-0.3674) time: 0.8644 data: 0.0002 max mem: 29859 [13:18:12.657434] Epoch: [398] [420/850] eta: 0:06:14 lr: 0.001307 loss: 0.0101 (0.0123) loss_rec_all: 0.0464 (0.0485) loss_rec_sfr: 0.0472 (0.0682) loss_cl: -0.3677 (-0.3675) time: 0.8617 data: 0.0002 max mem: 29859 [13:18:29.944009] Epoch: [398] [440/850] eta: 0:05:57 lr: 0.001306 loss: 0.0107 (0.0122) loss_rec_all: 0.0469 (0.0485) loss_rec_sfr: 0.0636 (0.0680) loss_cl: -0.3674 (-0.3675) time: 0.8643 data: 0.0002 max mem: 29859 [13:18:47.189350] Epoch: [398] [460/850] eta: 0:05:39 lr: 0.001306 loss: 0.0097 (0.0121) loss_rec_all: 0.0460 (0.0484) loss_rec_sfr: 0.0456 (0.0674) loss_cl: -0.3677 (-0.3675) time: 0.8622 data: 0.0002 max mem: 29859 [13:19:04.473263] Epoch: [398] [480/850] eta: 0:05:22 lr: 0.001306 loss: 0.0097 (0.0120) loss_rec_all: 0.0463 (0.0483) loss_rec_sfr: 0.0483 (0.0672) loss_cl: -0.3675 (-0.3675) time: 0.8641 data: 0.0002 max mem: 29859 [13:19:21.738640] Epoch: [398] [500/850] eta: 0:05:04 lr: 0.001306 loss: 0.0090 (0.0119) loss_rec_all: 0.0454 (0.0482) loss_rec_sfr: 0.0472 (0.0670) loss_cl: -0.3676 (-0.3675) time: 0.8632 data: 0.0002 max mem: 29859 [13:19:39.025190] Epoch: [398] [520/850] eta: 0:04:47 lr: 0.001306 loss: 0.0091 (0.0119) loss_rec_all: 0.0455 (0.0481) loss_rec_sfr: 0.0451 (0.0666) loss_cl: -0.3672 (-0.3675) time: 0.8642 data: 0.0002 max mem: 29859 [13:19:56.314269] Epoch: [398] [540/850] eta: 0:04:29 lr: 0.001306 loss: 0.0114 (0.0118) loss_rec_all: 0.0479 (0.0481) loss_rec_sfr: 0.0805 (0.0669) loss_cl: -0.3673 (-0.3675) time: 0.8644 data: 0.0002 max mem: 29859 [13:20:13.627414] Epoch: [398] [560/850] eta: 0:04:12 lr: 0.001306 loss: 0.0097 (0.0118) loss_rec_all: 0.0460 (0.0481) loss_rec_sfr: 0.0509 (0.0668) loss_cl: -0.3674 (-0.3675) time: 0.8656 data: 0.0002 max mem: 29859 [13:20:30.878558] Epoch: [398] [580/850] eta: 0:03:54 lr: 0.001306 loss: 0.0108 (0.0118) loss_rec_all: 0.0471 (0.0481) loss_rec_sfr: 0.0668 (0.0669) loss_cl: -0.3673 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [13:20:48.172620] Epoch: [398] [600/850] eta: 0:03:37 lr: 0.001305 loss: 0.0115 (0.0118) loss_rec_all: 0.0478 (0.0480) loss_rec_sfr: 0.0647 (0.0669) loss_cl: -0.3669 (-0.3674) time: 0.8647 data: 0.0002 max mem: 29859 [13:21:05.430941] Epoch: [398] [620/850] eta: 0:03:19 lr: 0.001305 loss: 0.0101 (0.0117) loss_rec_all: 0.0464 (0.0480) loss_rec_sfr: 0.0559 (0.0669) loss_cl: -0.3665 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [13:21:22.729889] Epoch: [398] [640/850] eta: 0:03:02 lr: 0.001305 loss: 0.0101 (0.0117) loss_rec_all: 0.0464 (0.0480) loss_rec_sfr: 0.0493 (0.0666) loss_cl: -0.3670 (-0.3674) time: 0.8649 data: 0.0002 max mem: 29859 [13:21:39.972004] Epoch: [398] [660/850] eta: 0:02:45 lr: 0.001305 loss: 0.0106 (0.0117) loss_rec_all: 0.0468 (0.0480) loss_rec_sfr: 0.0527 (0.0665) loss_cl: -0.3671 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [13:21:57.244833] Epoch: [398] [680/850] eta: 0:02:27 lr: 0.001305 loss: 0.0109 (0.0117) loss_rec_all: 0.0470 (0.0479) loss_rec_sfr: 0.0524 (0.0665) loss_cl: -0.3672 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [13:22:14.526687] Epoch: [398] [700/850] eta: 0:02:10 lr: 0.001305 loss: 0.0116 (0.0117) loss_rec_all: 0.0478 (0.0479) loss_rec_sfr: 0.0644 (0.0664) loss_cl: -0.3673 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [13:22:31.824114] Epoch: [398] [720/850] eta: 0:01:52 lr: 0.001305 loss: 0.0124 (0.0117) loss_rec_all: 0.0485 (0.0480) loss_rec_sfr: 0.0703 (0.0666) loss_cl: -0.3673 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [13:22:49.093214] Epoch: [398] [740/850] eta: 0:01:35 lr: 0.001305 loss: 0.0111 (0.0117) loss_rec_all: 0.0475 (0.0479) loss_rec_sfr: 0.0540 (0.0665) loss_cl: -0.3677 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [13:23:06.396700] Epoch: [398] [760/850] eta: 0:01:18 lr: 0.001305 loss: 0.0116 (0.0117) loss_rec_all: 0.0478 (0.0480) loss_rec_sfr: 0.0499 (0.0663) loss_cl: -0.3678 (-0.3674) time: 0.8651 data: 0.0003 max mem: 29859 [13:23:23.655264] Epoch: [398] [780/850] eta: 0:01:00 lr: 0.001304 loss: 0.0113 (0.0117) loss_rec_all: 0.0478 (0.0480) loss_rec_sfr: 0.0583 (0.0663) loss_cl: -0.3679 (-0.3674) time: 0.8629 data: 0.0002 max mem: 29859 [13:23:40.979864] Epoch: [398] [800/850] eta: 0:00:43 lr: 0.001304 loss: 0.0114 (0.0117) loss_rec_all: 0.0479 (0.0480) loss_rec_sfr: 0.0531 (0.0662) loss_cl: -0.3680 (-0.3674) time: 0.8662 data: 0.0002 max mem: 29859 [13:23:58.212602] Epoch: [398] [820/850] eta: 0:00:26 lr: 0.001304 loss: 0.0117 (0.0117) loss_rec_all: 0.0479 (0.0480) loss_rec_sfr: 0.0681 (0.0663) loss_cl: -0.3679 (-0.3674) time: 0.8616 data: 0.0002 max mem: 29859 [13:24:15.496709] Epoch: [398] [840/850] eta: 0:00:08 lr: 0.001304 loss: 0.0104 (0.0117) loss_rec_all: 0.0469 (0.0480) loss_rec_sfr: 0.0491 (0.0662) loss_cl: -0.3674 (-0.3674) time: 0.8641 data: 0.0005 max mem: 29859 [13:24:23.257090] Epoch: [398] [849/850] eta: 0:00:00 lr: 0.001304 loss: 0.0109 (0.0117) loss_rec_all: 0.0474 (0.0480) loss_rec_sfr: 0.0501 (0.0662) loss_cl: -0.3671 (-0.3674) time: 0.8643 data: 0.0005 max mem: 29859 [13:24:23.403045] Epoch: [398] Total time: 0:12:17 (0.8678 s / it) [13:24:23.409317] Averaged stats: lr: 0.001304 loss: 0.0109 (0.0117) loss_rec_all: 0.0474 (0.0480) loss_rec_sfr: 0.0501 (0.0663) loss_cl: -0.3671 (-0.3674) [13:24:23.422203] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [13:24:27.935588] Epoch: [399] [ 0/850] eta: 1:03:55 lr: 0.001304 loss: 0.0112 (0.0112) loss_rec_all: 0.0473 (0.0473) loss_rec_sfr: 0.0761 (0.0761) loss_cl: -0.3661 (-0.3661) time: 4.5122 data: 3.6570 max mem: 29859 [13:24:45.126851] Epoch: [399] [ 20/850] eta: 0:14:17 lr: 0.001304 loss: 0.0098 (0.0110) loss_rec_all: 0.0462 (0.0472) loss_rec_sfr: 0.0490 (0.0637) loss_cl: -0.3669 (-0.3669) time: 0.8595 data: 0.0002 max mem: 29859 [13:25:02.382411] Epoch: [399] [ 40/850] eta: 0:12:49 lr: 0.001304 loss: 0.0108 (0.0113) loss_rec_all: 0.0471 (0.0475) loss_rec_sfr: 0.0686 (0.0649) loss_cl: -0.3670 (-0.3669) time: 0.8627 data: 0.0002 max mem: 29859 [13:25:19.653948] Epoch: [399] [ 60/850] eta: 0:12:08 lr: 0.001304 loss: 0.0108 (0.0113) loss_rec_all: 0.0470 (0.0475) loss_rec_sfr: 0.0662 (0.0666) loss_cl: -0.3667 (-0.3668) time: 0.8635 data: 0.0002 max mem: 29859 [13:25:36.912445] Epoch: [399] [ 80/850] eta: 0:11:38 lr: 0.001304 loss: 0.0103 (0.0113) loss_rec_all: 0.0467 (0.0475) loss_rec_sfr: 0.0639 (0.0672) loss_cl: -0.3670 (-0.3668) time: 0.8629 data: 0.0002 max mem: 29859 [13:25:54.181892] Epoch: [399] [100/850] eta: 0:11:13 lr: 0.001303 loss: 0.0095 (0.0111) loss_rec_all: 0.0459 (0.0474) loss_rec_sfr: 0.0469 (0.0656) loss_cl: -0.3674 (-0.3669) time: 0.8633 data: 0.0002 max mem: 29859 [13:26:11.499420] Epoch: [399] [120/850] eta: 0:10:51 lr: 0.001303 loss: 0.0092 (0.0109) loss_rec_all: 0.0456 (0.0472) loss_rec_sfr: 0.0452 (0.0649) loss_cl: -0.3677 (-0.3670) time: 0.8658 data: 0.0002 max mem: 29859 [13:26:28.752692] Epoch: [399] [140/850] eta: 0:10:31 lr: 0.001303 loss: 0.0096 (0.0109) loss_rec_all: 0.0458 (0.0471) loss_rec_sfr: 0.0670 (0.0651) loss_cl: -0.3682 (-0.3672) time: 0.8626 data: 0.0002 max mem: 29859 [13:26:46.099669] Epoch: [399] [160/850] eta: 0:10:11 lr: 0.001303 loss: 0.0105 (0.0109) loss_rec_all: 0.0468 (0.0472) loss_rec_sfr: 0.0515 (0.0648) loss_cl: -0.3682 (-0.3673) time: 0.8673 data: 0.0003 max mem: 29859 [13:27:03.340248] Epoch: [399] [180/850] eta: 0:09:51 lr: 0.001303 loss: 0.0113 (0.0110) loss_rec_all: 0.0476 (0.0472) loss_rec_sfr: 0.0678 (0.0653) loss_cl: -0.3679 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [13:27:20.658140] Epoch: [399] [200/850] eta: 0:09:33 lr: 0.001303 loss: 0.0107 (0.0110) loss_rec_all: 0.0471 (0.0473) loss_rec_sfr: 0.0678 (0.0653) loss_cl: -0.3677 (-0.3674) time: 0.8658 data: 0.0002 max mem: 29859 [13:27:37.908382] Epoch: [399] [220/850] eta: 0:09:14 lr: 0.001303 loss: 0.0098 (0.0110) loss_rec_all: 0.0462 (0.0473) loss_rec_sfr: 0.0665 (0.0651) loss_cl: -0.3672 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [13:27:55.188071] Epoch: [399] [240/850] eta: 0:08:55 lr: 0.001303 loss: 0.0108 (0.0110) loss_rec_all: 0.0469 (0.0473) loss_rec_sfr: 0.0750 (0.0656) loss_cl: -0.3666 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [13:28:12.501979] Epoch: [399] [260/850] eta: 0:08:37 lr: 0.001303 loss: 0.0107 (0.0110) loss_rec_all: 0.0470 (0.0473) loss_rec_sfr: 0.0512 (0.0655) loss_cl: -0.3670 (-0.3673) time: 0.8656 data: 0.0003 max mem: 29859 [13:28:29.781121] Epoch: [399] [280/850] eta: 0:08:19 lr: 0.001302 loss: 0.0100 (0.0109) loss_rec_all: 0.0465 (0.0472) loss_rec_sfr: 0.0803 (0.0660) loss_cl: -0.3675 (-0.3673) time: 0.8639 data: 0.0002 max mem: 29859 [13:28:47.037945] Epoch: [399] [300/850] eta: 0:08:01 lr: 0.001302 loss: 0.0097 (0.0109) loss_rec_all: 0.0461 (0.0472) loss_rec_sfr: 0.0467 (0.0653) loss_cl: -0.3677 (-0.3673) time: 0.8628 data: 0.0002 max mem: 29859 [13:29:04.342560] Epoch: [399] [320/850] eta: 0:07:43 lr: 0.001302 loss: 0.0093 (0.0108) loss_rec_all: 0.0457 (0.0471) loss_rec_sfr: 0.0487 (0.0651) loss_cl: -0.3676 (-0.3674) time: 0.8652 data: 0.0003 max mem: 29859 [13:29:21.564717] Epoch: [399] [340/850] eta: 0:07:25 lr: 0.001302 loss: 0.0119 (0.0109) loss_rec_all: 0.0480 (0.0472) loss_rec_sfr: 0.0689 (0.0654) loss_cl: -0.3674 (-0.3674) time: 0.8611 data: 0.0002 max mem: 29859 [13:29:38.871683] Epoch: [399] [360/850] eta: 0:07:08 lr: 0.001302 loss: 0.0113 (0.0109) loss_rec_all: 0.0477 (0.0472) loss_rec_sfr: 0.0508 (0.0655) loss_cl: -0.3669 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [13:29:56.108844] Epoch: [399] [380/850] eta: 0:06:50 lr: 0.001302 loss: 0.0120 (0.0110) loss_rec_all: 0.0479 (0.0472) loss_rec_sfr: 0.0696 (0.0658) loss_cl: -0.3672 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [13:30:13.404595] Epoch: [399] [400/850] eta: 0:06:32 lr: 0.001302 loss: 0.0109 (0.0110) loss_rec_all: 0.0472 (0.0473) loss_rec_sfr: 0.0481 (0.0658) loss_cl: -0.3675 (-0.3673) time: 0.8647 data: 0.0002 max mem: 29859 [13:30:30.673945] Epoch: [399] [420/850] eta: 0:06:15 lr: 0.001302 loss: 0.0114 (0.0110) loss_rec_all: 0.0478 (0.0473) loss_rec_sfr: 0.0671 (0.0661) loss_cl: -0.3679 (-0.3673) time: 0.8634 data: 0.0002 max mem: 29859 [13:30:47.954193] Epoch: [399] [440/850] eta: 0:05:57 lr: 0.001301 loss: 0.0119 (0.0111) loss_rec_all: 0.0481 (0.0474) loss_rec_sfr: 0.0701 (0.0665) loss_cl: -0.3680 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [13:31:05.214254] Epoch: [399] [460/850] eta: 0:05:39 lr: 0.001301 loss: 0.0122 (0.0111) loss_rec_all: 0.0485 (0.0474) loss_rec_sfr: 0.0672 (0.0668) loss_cl: -0.3677 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [13:31:22.493860] Epoch: [399] [480/850] eta: 0:05:22 lr: 0.001301 loss: 0.0104 (0.0111) loss_rec_all: 0.0467 (0.0474) loss_rec_sfr: 0.0641 (0.0667) loss_cl: -0.3674 (-0.3674) time: 0.8639 data: 0.0002 max mem: 29859 [13:31:39.750952] Epoch: [399] [500/850] eta: 0:05:04 lr: 0.001301 loss: 0.0105 (0.0111) loss_rec_all: 0.0469 (0.0474) loss_rec_sfr: 0.0471 (0.0663) loss_cl: -0.3673 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [13:31:57.054673] Epoch: [399] [520/850] eta: 0:04:47 lr: 0.001301 loss: 0.0106 (0.0111) loss_rec_all: 0.0469 (0.0474) loss_rec_sfr: 0.0497 (0.0661) loss_cl: -0.3671 (-0.3674) time: 0.8651 data: 0.0002 max mem: 29859 [13:32:14.325242] Epoch: [399] [540/850] eta: 0:04:29 lr: 0.001301 loss: 0.0116 (0.0112) loss_rec_all: 0.0478 (0.0474) loss_rec_sfr: 0.0695 (0.0663) loss_cl: -0.3676 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [13:32:31.664584] Epoch: [399] [560/850] eta: 0:04:12 lr: 0.001301 loss: 0.0117 (0.0112) loss_rec_all: 0.0479 (0.0474) loss_rec_sfr: 0.0682 (0.0665) loss_cl: -0.3683 (-0.3674) time: 0.8669 data: 0.0002 max mem: 29859 [13:32:48.923146] Epoch: [399] [580/850] eta: 0:03:54 lr: 0.001301 loss: 0.0106 (0.0112) loss_rec_all: 0.0471 (0.0475) loss_rec_sfr: 0.0636 (0.0664) loss_cl: -0.3680 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [13:33:06.202256] Epoch: [399] [600/850] eta: 0:03:37 lr: 0.001301 loss: 0.0101 (0.0112) loss_rec_all: 0.0465 (0.0475) loss_rec_sfr: 0.0722 (0.0666) loss_cl: -0.3683 (-0.3675) time: 0.8639 data: 0.0002 max mem: 29859 [13:33:23.454708] Epoch: [399] [620/850] eta: 0:03:19 lr: 0.001300 loss: 0.0096 (0.0112) loss_rec_all: 0.0460 (0.0474) loss_rec_sfr: 0.0482 (0.0663) loss_cl: -0.3675 (-0.3675) time: 0.8626 data: 0.0002 max mem: 29859 [13:33:40.723741] Epoch: [399] [640/850] eta: 0:03:02 lr: 0.001300 loss: 0.0105 (0.0111) loss_rec_all: 0.0467 (0.0474) loss_rec_sfr: 0.0477 (0.0660) loss_cl: -0.3668 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [13:33:57.993483] Epoch: [399] [660/850] eta: 0:02:45 lr: 0.001300 loss: 0.0104 (0.0111) loss_rec_all: 0.0466 (0.0474) loss_rec_sfr: 0.0559 (0.0661) loss_cl: -0.3667 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [13:34:15.273957] Epoch: [399] [680/850] eta: 0:02:27 lr: 0.001300 loss: 0.0100 (0.0111) loss_rec_all: 0.0463 (0.0474) loss_rec_sfr: 0.0523 (0.0661) loss_cl: -0.3666 (-0.3674) time: 0.8640 data: 0.0002 max mem: 29859 [13:34:32.511727] Epoch: [399] [700/850] eta: 0:02:10 lr: 0.001300 loss: 0.0117 (0.0112) loss_rec_all: 0.0481 (0.0474) loss_rec_sfr: 0.0672 (0.0660) loss_cl: -0.3670 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [13:34:49.808304] Epoch: [399] [720/850] eta: 0:01:52 lr: 0.001300 loss: 0.0119 (0.0112) loss_rec_all: 0.0483 (0.0475) loss_rec_sfr: 0.0714 (0.0661) loss_cl: -0.3672 (-0.3674) time: 0.8648 data: 0.0002 max mem: 29859 [13:35:07.036064] Epoch: [399] [740/850] eta: 0:01:35 lr: 0.001300 loss: 0.0115 (0.0112) loss_rec_all: 0.0478 (0.0475) loss_rec_sfr: 0.0543 (0.0661) loss_cl: -0.3679 (-0.3674) time: 0.8613 data: 0.0002 max mem: 29859 [13:35:24.342777] Epoch: [399] [760/850] eta: 0:01:18 lr: 0.001300 loss: 0.0106 (0.0112) loss_rec_all: 0.0470 (0.0475) loss_rec_sfr: 0.0553 (0.0661) loss_cl: -0.3683 (-0.3674) time: 0.8653 data: 0.0002 max mem: 29859 [13:35:41.584962] Epoch: [399] [780/850] eta: 0:01:00 lr: 0.001300 loss: 0.0115 (0.0112) loss_rec_all: 0.0480 (0.0475) loss_rec_sfr: 0.0519 (0.0660) loss_cl: -0.3683 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [13:35:58.896088] Epoch: [399] [800/850] eta: 0:00:43 lr: 0.001299 loss: 0.0109 (0.0113) loss_rec_all: 0.0474 (0.0475) loss_rec_sfr: 0.0662 (0.0659) loss_cl: -0.3679 (-0.3674) time: 0.8655 data: 0.0002 max mem: 29859 [13:36:16.164305] Epoch: [399] [820/850] eta: 0:00:26 lr: 0.001299 loss: 0.0116 (0.0113) loss_rec_all: 0.0478 (0.0476) loss_rec_sfr: 0.0642 (0.0659) loss_cl: -0.3670 (-0.3674) time: 0.8634 data: 0.0002 max mem: 29859 [13:36:33.455106] Epoch: [399] [840/850] eta: 0:00:08 lr: 0.001299 loss: 0.0117 (0.0113) loss_rec_all: 0.0480 (0.0476) loss_rec_sfr: 0.0497 (0.0659) loss_cl: -0.3668 (-0.3674) time: 0.8645 data: 0.0014 max mem: 29859 [13:36:41.221931] Epoch: [399] [849/850] eta: 0:00:00 lr: 0.001299 loss: 0.0114 (0.0113) loss_rec_all: 0.0478 (0.0476) loss_rec_sfr: 0.0697 (0.0659) loss_cl: -0.3669 (-0.3674) time: 0.8648 data: 0.0014 max mem: 29859 [13:36:41.375873] Epoch: [399] Total time: 0:12:17 (0.8682 s / it) [13:36:41.378512] Averaged stats: lr: 0.001299 loss: 0.0114 (0.0113) loss_rec_all: 0.0478 (0.0476) loss_rec_sfr: 0.0697 (0.0657) loss_cl: -0.3669 (-0.3674) [13:36:41.389870] log_dir: /mnt/localDisk1/wgj/FS_MAE/FSFM_C3/checkpoint/wanggaojian/experiments_pretrain/3259616 [13:36:45.738780] Epoch: [400] [ 0/850] eta: 1:01:35 lr: 0.001299 loss: 0.0113 (0.0113) loss_rec_all: 0.0475 (0.0475) loss_rec_sfr: 0.0829 (0.0829) loss_cl: -0.3671 (-0.3671) time: 4.3481 data: 3.4081 max mem: 29859 [13:37:02.941548] Epoch: [400] [ 20/850] eta: 0:14:11 lr: 0.001299 loss: 0.0111 (0.0129) loss_rec_all: 0.0472 (0.0491) loss_rec_sfr: 0.0729 (0.0715) loss_cl: -0.3671 (-0.3671) time: 0.8601 data: 0.0002 max mem: 29859 [13:37:20.223594] Epoch: [400] [ 40/850] eta: 0:12:47 lr: 0.001299 loss: 0.0116 (0.0123) loss_rec_all: 0.0479 (0.0486) loss_rec_sfr: 0.0640 (0.0696) loss_cl: -0.3673 (-0.3672) time: 0.8640 data: 0.0002 max mem: 29859 [13:37:37.513806] Epoch: [400] [ 60/850] eta: 0:12:06 lr: 0.001299 loss: 0.0124 (0.0125) loss_rec_all: 0.0486 (0.0487) loss_rec_sfr: 0.0695 (0.0696) loss_cl: -0.3675 (-0.3672) time: 0.8645 data: 0.0002 max mem: 29859 [13:37:54.781887] Epoch: [400] [ 80/850] eta: 0:11:37 lr: 0.001299 loss: 0.0121 (0.0124) loss_rec_all: 0.0481 (0.0486) loss_rec_sfr: 0.0825 (0.0722) loss_cl: -0.3675 (-0.3672) time: 0.8634 data: 0.0002 max mem: 29859 [13:38:12.055045] Epoch: [400] [100/850] eta: 0:11:13 lr: 0.001299 loss: 0.0123 (0.0123) loss_rec_all: 0.0483 (0.0485) loss_rec_sfr: 0.0746 (0.0728) loss_cl: -0.3669 (-0.3672) time: 0.8636 data: 0.0002 max mem: 29859 [13:38:29.332229] Epoch: [400] [120/850] eta: 0:10:51 lr: 0.001298 loss: 0.0111 (0.0121) loss_rec_all: 0.0473 (0.0483) loss_rec_sfr: 0.0682 (0.0725) loss_cl: -0.3677 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [13:38:46.576315] Epoch: [400] [140/850] eta: 0:10:30 lr: 0.001298 loss: 0.0110 (0.0120) loss_rec_all: 0.0471 (0.0482) loss_rec_sfr: 0.0638 (0.0718) loss_cl: -0.3675 (-0.3673) time: 0.8622 data: 0.0002 max mem: 29859 [13:39:03.881399] Epoch: [400] [160/850] eta: 0:10:10 lr: 0.001298 loss: 0.0100 (0.0118) loss_rec_all: 0.0462 (0.0480) loss_rec_sfr: 0.0501 (0.0706) loss_cl: -0.3674 (-0.3673) time: 0.8652 data: 0.0003 max mem: 29859 [13:39:21.124247] Epoch: [400] [180/850] eta: 0:09:51 lr: 0.001298 loss: 0.0104 (0.0116) loss_rec_all: 0.0466 (0.0478) loss_rec_sfr: 0.0469 (0.0699) loss_cl: -0.3673 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [13:39:38.444533] Epoch: [400] [200/850] eta: 0:09:32 lr: 0.001298 loss: 0.0098 (0.0115) loss_rec_all: 0.0462 (0.0477) loss_rec_sfr: 0.0610 (0.0693) loss_cl: -0.3673 (-0.3673) time: 0.8660 data: 0.0002 max mem: 29859 [13:39:55.678925] Epoch: [400] [220/850] eta: 0:09:13 lr: 0.001298 loss: 0.0113 (0.0115) loss_rec_all: 0.0476 (0.0477) loss_rec_sfr: 0.0670 (0.0694) loss_cl: -0.3673 (-0.3673) time: 0.8617 data: 0.0002 max mem: 29859 [13:40:12.968837] Epoch: [400] [240/850] eta: 0:08:55 lr: 0.001298 loss: 0.0100 (0.0114) loss_rec_all: 0.0465 (0.0477) loss_rec_sfr: 0.0512 (0.0690) loss_cl: -0.3675 (-0.3673) time: 0.8644 data: 0.0002 max mem: 29859 [13:40:30.275679] Epoch: [400] [260/850] eta: 0:08:37 lr: 0.001298 loss: 0.0117 (0.0115) loss_rec_all: 0.0478 (0.0477) loss_rec_sfr: 0.0561 (0.0689) loss_cl: -0.3676 (-0.3673) time: 0.8653 data: 0.0002 max mem: 29859 [13:40:47.546211] Epoch: [400] [280/850] eta: 0:08:19 lr: 0.001297 loss: 0.0119 (0.0116) loss_rec_all: 0.0480 (0.0478) loss_rec_sfr: 0.0706 (0.0695) loss_cl: -0.3673 (-0.3674) time: 0.8635 data: 0.0002 max mem: 29859 [13:41:04.818089] Epoch: [400] [300/850] eta: 0:08:01 lr: 0.001297 loss: 0.0122 (0.0116) loss_rec_all: 0.0482 (0.0478) loss_rec_sfr: 0.0673 (0.0696) loss_cl: -0.3673 (-0.3673) time: 0.8635 data: 0.0002 max mem: 29859 [13:41:22.095941] Epoch: [400] [320/850] eta: 0:07:43 lr: 0.001297 loss: 0.0118 (0.0116) loss_rec_all: 0.0479 (0.0479) loss_rec_sfr: 0.0538 (0.0699) loss_cl: -0.3669 (-0.3673) time: 0.8638 data: 0.0002 max mem: 29859 [13:41:39.339383] Epoch: [400] [340/850] eta: 0:07:25 lr: 0.001297 loss: 0.0114 (0.0116) loss_rec_all: 0.0477 (0.0478) loss_rec_sfr: 0.0472 (0.0696) loss_cl: -0.3667 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [13:41:56.668380] Epoch: [400] [360/850] eta: 0:07:07 lr: 0.001297 loss: 0.0108 (0.0116) loss_rec_all: 0.0471 (0.0479) loss_rec_sfr: 0.0647 (0.0696) loss_cl: -0.3670 (-0.3673) time: 0.8664 data: 0.0003 max mem: 29859 [13:42:13.905208] Epoch: [400] [380/850] eta: 0:06:50 lr: 0.001297 loss: 0.0099 (0.0115) loss_rec_all: 0.0463 (0.0478) loss_rec_sfr: 0.0478 (0.0689) loss_cl: -0.3670 (-0.3673) time: 0.8618 data: 0.0002 max mem: 29859 [13:42:31.233178] Epoch: [400] [400/850] eta: 0:06:32 lr: 0.001297 loss: 0.0116 (0.0115) loss_rec_all: 0.0479 (0.0478) loss_rec_sfr: 0.0644 (0.0689) loss_cl: -0.3675 (-0.3673) time: 0.8663 data: 0.0002 max mem: 29859 [13:42:48.476807] Epoch: [400] [420/850] eta: 0:06:14 lr: 0.001297 loss: 0.0111 (0.0115) loss_rec_all: 0.0475 (0.0478) loss_rec_sfr: 0.0642 (0.0688) loss_cl: -0.3683 (-0.3673) time: 0.8621 data: 0.0002 max mem: 29859 [13:43:05.728673] Epoch: [400] [440/850] eta: 0:05:57 lr: 0.001297 loss: 0.0111 (0.0115) loss_rec_all: 0.0475 (0.0478) loss_rec_sfr: 0.0697 (0.0688) loss_cl: -0.3682 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [13:43:22.970917] Epoch: [400] [460/850] eta: 0:05:39 lr: 0.001296 loss: 0.0109 (0.0115) loss_rec_all: 0.0474 (0.0478) loss_rec_sfr: 0.0501 (0.0686) loss_cl: -0.3679 (-0.3674) time: 0.8621 data: 0.0002 max mem: 29859 [13:43:40.225733] Epoch: [400] [480/850] eta: 0:05:22 lr: 0.001296 loss: 0.0103 (0.0115) loss_rec_all: 0.0467 (0.0478) loss_rec_sfr: 0.0507 (0.0684) loss_cl: -0.3677 (-0.3674) time: 0.8627 data: 0.0002 max mem: 29859 [13:43:57.477546] Epoch: [400] [500/850] eta: 0:05:04 lr: 0.001296 loss: 0.0117 (0.0115) loss_rec_all: 0.0478 (0.0478) loss_rec_sfr: 0.0648 (0.0684) loss_cl: -0.3672 (-0.3674) time: 0.8625 data: 0.0002 max mem: 29859 [13:44:14.734907] Epoch: [400] [520/850] eta: 0:04:47 lr: 0.001296 loss: 0.0105 (0.0115) loss_rec_all: 0.0467 (0.0478) loss_rec_sfr: 0.0514 (0.0682) loss_cl: -0.3671 (-0.3674) time: 0.8628 data: 0.0002 max mem: 29859 [13:44:31.971660] Epoch: [400] [540/850] eta: 0:04:29 lr: 0.001296 loss: 0.0112 (0.0115) loss_rec_all: 0.0477 (0.0478) loss_rec_sfr: 0.0530 (0.0682) loss_cl: -0.3673 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [13:44:49.279315] Epoch: [400] [560/850] eta: 0:04:12 lr: 0.001296 loss: 0.0111 (0.0115) loss_rec_all: 0.0474 (0.0478) loss_rec_sfr: 0.0646 (0.0682) loss_cl: -0.3675 (-0.3674) time: 0.8653 data: 0.0002 max mem: 29859 [13:45:06.507349] Epoch: [400] [580/850] eta: 0:03:54 lr: 0.001296 loss: 0.0103 (0.0115) loss_rec_all: 0.0467 (0.0477) loss_rec_sfr: 0.0539 (0.0681) loss_cl: -0.3678 (-0.3674) time: 0.8614 data: 0.0002 max mem: 29859 [13:45:23.822862] Epoch: [400] [600/850] eta: 0:03:37 lr: 0.001296 loss: 0.0126 (0.0115) loss_rec_all: 0.0489 (0.0478) loss_rec_sfr: 0.0657 (0.0681) loss_cl: -0.3677 (-0.3674) time: 0.8657 data: 0.0002 max mem: 29859 [13:45:41.060733] Epoch: [400] [620/850] eta: 0:03:19 lr: 0.001296 loss: 0.0113 (0.0115) loss_rec_all: 0.0475 (0.0478) loss_rec_sfr: 0.0700 (0.0682) loss_cl: -0.3679 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [13:45:58.374526] Epoch: [400] [640/850] eta: 0:03:02 lr: 0.001295 loss: 0.0106 (0.0115) loss_rec_all: 0.0470 (0.0478) loss_rec_sfr: 0.0487 (0.0679) loss_cl: -0.3673 (-0.3674) time: 0.8656 data: 0.0002 max mem: 29859 [13:46:15.634821] Epoch: [400] [660/850] eta: 0:02:45 lr: 0.001295 loss: 0.0112 (0.0115) loss_rec_all: 0.0474 (0.0478) loss_rec_sfr: 0.0472 (0.0678) loss_cl: -0.3665 (-0.3674) time: 0.8630 data: 0.0002 max mem: 29859 [13:46:32.907266] Epoch: [400] [680/850] eta: 0:02:27 lr: 0.001295 loss: 0.0109 (0.0115) loss_rec_all: 0.0470 (0.0478) loss_rec_sfr: 0.0571 (0.0675) loss_cl: -0.3666 (-0.3674) time: 0.8636 data: 0.0002 max mem: 29859 [13:46:50.170945] Epoch: [400] [700/850] eta: 0:02:10 lr: 0.001295 loss: 0.0117 (0.0115) loss_rec_all: 0.0480 (0.0478) loss_rec_sfr: 0.0653 (0.0676) loss_cl: -0.3671 (-0.3673) time: 0.8631 data: 0.0003 max mem: 29859 [13:47:07.437275] Epoch: [400] [720/850] eta: 0:01:52 lr: 0.001295 loss: 0.0115 (0.0115) loss_rec_all: 0.0478 (0.0478) loss_rec_sfr: 0.0561 (0.0677) loss_cl: -0.3672 (-0.3673) time: 0.8633 data: 0.0002 max mem: 29859 [13:47:24.678115] Epoch: [400] [740/850] eta: 0:01:35 lr: 0.001295 loss: 0.0114 (0.0115) loss_rec_all: 0.0478 (0.0478) loss_rec_sfr: 0.0660 (0.0677) loss_cl: -0.3679 (-0.3674) time: 0.8620 data: 0.0002 max mem: 29859 [13:47:41.978956] Epoch: [400] [760/850] eta: 0:01:18 lr: 0.001295 loss: 0.0112 (0.0116) loss_rec_all: 0.0475 (0.0478) loss_rec_sfr: 0.0701 (0.0678) loss_cl: -0.3682 (-0.3674) time: 0.8650 data: 0.0002 max mem: 29859 [13:47:59.209583] Epoch: [400] [780/850] eta: 0:01:00 lr: 0.001295 loss: 0.0113 (0.0116) loss_rec_all: 0.0476 (0.0478) loss_rec_sfr: 0.0680 (0.0678) loss_cl: -0.3679 (-0.3674) time: 0.8615 data: 0.0002 max mem: 29859 [13:48:16.527105] Epoch: [400] [800/850] eta: 0:00:43 lr: 0.001294 loss: 0.0104 (0.0116) loss_rec_all: 0.0468 (0.0478) loss_rec_sfr: 0.0528 (0.0676) loss_cl: -0.3674 (-0.3674) time: 0.8658 data: 0.0003 max mem: 29859 [13:48:33.763171] Epoch: [400] [820/850] eta: 0:00:26 lr: 0.001294 loss: 0.0109 (0.0116) loss_rec_all: 0.0472 (0.0479) loss_rec_sfr: 0.0650 (0.0676) loss_cl: -0.3666 (-0.3674) time: 0.8618 data: 0.0002 max mem: 29859 [13:48:51.068053] Epoch: [400] [840/850] eta: 0:00:08 lr: 0.001294 loss: 0.0106 (0.0116) loss_rec_all: 0.0469 (0.0478) loss_rec_sfr: 0.0508 (0.0675) loss_cl: -0.3667 (-0.3674) time: 0.8652 data: 0.0005 max mem: 29859 [13:48:58.847087] Epoch: [400] [849/850] eta: 0:00:00 lr: 0.001294 loss: 0.0106 (0.0116) loss_rec_all: 0.0469 (0.0478) loss_rec_sfr: 0.0508 (0.0675) loss_cl: -0.3670 (-0.3674) time: 0.8661 data: 0.0005 max mem: 29859 [13:48:58.988630] Epoch: [400] Total time: 0:12:17 (0.8678 s / it) [13:48:58.999056] Averaged stats: lr: 0.001294 loss: 0.0106 (0.0114) loss_rec_all: 0.0469 (0.0477) loss_rec_sfr: 0.0508 (0.0665) loss_cl: -0.3670 (-0.3674)