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Pang-Yatian / Point-MAE

[ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning
MIT License
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Can't reproduce the experiment on model40 1k #5

Closed yanghu819 closed 2 years ago

yanghu819 commented 2 years ago

I runned with:

CUDA_VISIBLE_DEVICES=0 python main.py --config cfgs/pretrain.yaml --exp_name pretrain_try CUDA_VISIBLE_DEVICES=0 python main.py --config cfgs/finetune_modelnet.yaml \ --finetune_model --exp_name model_40 --ckpts /data/jupyter/point-mae/Point-MAE/experiments/pretrain/cfgs/pretrain_try/ckpt-last.pth

Some logs: 2022-03-21 21:04:37,244 - finetune_modelnet - INFO - [Training] EPOCH: 278 EpochTime = 61.111 (s) Losses = ['0.0106', '99.4198'] lr = 0.000008 2022-03-21 21:04:47,334 - finetune_modelnet - INFO - [Validation] EPOCH: 278 acc = 91.9773 2022-03-21 21:04:47,915 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:05:49,140 - finetune_modelnet - INFO - [Training] EPOCH: 279 EpochTime = 61.224 (s) Losses = ['0.0108', '99.4300'] lr = 0.000007 2022-03-21 21:05:59,434 - finetune_modelnet - INFO - [Validation] EPOCH: 279 acc = 91.7747 2022-03-21 21:06:00,138 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:07:00,573 - finetune_modelnet - INFO - [Training] EPOCH: 280 EpochTime = 60.434 (s) Losses = ['0.0116', '99.3791'] lr = 0.000006 2022-03-21 21:07:10,787 - finetune_modelnet - INFO - [Validation] EPOCH: 280 acc = 91.8152 2022-03-21 21:07:11,403 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:08:12,400 - finetune_modelnet - INFO - [Training] EPOCH: 281 EpochTime = 60.996 (s) Losses = ['0.0109', '99.4707'] lr = 0.000006 2022-03-21 21:08:22,746 - finetune_modelnet - INFO - [Validation] EPOCH: 281 acc = 91.9368 2022-03-21 21:08:23,334 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:09:23,344 - finetune_modelnet - INFO - [Training] EPOCH: 282 EpochTime = 60.009 (s) Losses = ['0.0097', '99.5318'] lr = 0.000005 2022-03-21 21:09:33,549 - finetune_modelnet - INFO - [Validation] EPOCH: 282 acc = 92.0583 2022-03-21 21:09:34,228 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:10:35,426 - finetune_modelnet - INFO - [Training] EPOCH: 283 EpochTime = 61.196 (s) Losses = ['0.0104', '99.4300'] lr = 0.000005 2022-03-21 21:10:45,492 - finetune_modelnet - INFO - [Validation] EPOCH: 283 acc = 92.1799 2022-03-21 21:10:46,111 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:11:47,433 - finetune_modelnet - INFO - [Training] EPOCH: 284 EpochTime = 61.319 (s) Losses = ['0.0121', '99.4401'] lr = 0.000004 2022-03-21 21:11:57,530 - finetune_modelnet - INFO - [Validation] EPOCH: 284 acc = 91.9773 2022-03-21 21:11:58,273 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:12:57,515 - finetune_modelnet - INFO - [Training] EPOCH: 285 EpochTime = 59.241 (s) Losses = ['0.0108', '99.4096'] lr = 0.000004 2022-03-21 21:13:07,706 - finetune_modelnet - INFO - [Validation] EPOCH: 285 acc = 92.0989 2022-03-21 21:13:08,328 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:14:07,184 - finetune_modelnet - INFO - [Training] EPOCH: 286 EpochTime = 58.855 (s) Losses = ['0.0110', '99.4300'] lr = 0.000004 2022-03-21 21:14:17,457 - finetune_modelnet - INFO - [Validation] EPOCH: 286 acc = 92.0583 2022-03-21 21:14:18,070 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:15:17,256 - finetune_modelnet - INFO - [Training] EPOCH: 287 EpochTime = 59.185 (s) Losses = ['0.0102', '99.3994'] lr = 0.000003 2022-03-21 21:15:27,387 - finetune_modelnet - INFO - [Validation] EPOCH: 287 acc = 92.2204 2022-03-21 21:15:27,986 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:16:27,365 - finetune_modelnet - INFO - [Training] EPOCH: 288 EpochTime = 59.378 (s) Losses = ['0.0101', '99.4910'] lr = 0.000003 2022-03-21 21:16:37,765 - finetune_modelnet - INFO - [Validation] EPOCH: 288 acc = 92.1799 2022-03-21 21:16:38,422 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:17:38,212 - finetune_modelnet - INFO - [Training] EPOCH: 289 EpochTime = 59.788 (s) Losses = ['0.0115', '99.3994'] lr = 0.000003 2022-03-21 21:17:48,529 - finetune_modelnet - INFO - [Validation] EPOCH: 289 acc = 92.1799 2022-03-21 21:17:49,241 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:18:49,248 - finetune_modelnet - INFO - [Training] EPOCH: 290 EpochTime = 60.005 (s) Losses = ['0.0107', '99.3893'] lr = 0.000002 2022-03-21 21:18:59,631 - finetune_modelnet - INFO - [Validation] EPOCH: 290 acc = 91.9773 2022-03-21 21:19:00,240 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:19:59,875 - finetune_modelnet - INFO - [Training] EPOCH: 291 EpochTime = 59.633 (s) Losses = ['0.0110', '99.3282'] lr = 0.000002 2022-03-21 21:20:10,272 - finetune_modelnet - INFO - [Validation] EPOCH: 291 acc = 92.0989 2022-03-21 21:20:10,892 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:21:10,198 - finetune_modelnet - INFO - [Training] EPOCH: 292 EpochTime = 59.304 (s) Losses = ['0.0110', '99.4401'] lr = 0.000002 2022-03-21 21:21:20,468 - finetune_modelnet - INFO - [Validation] EPOCH: 292 acc = 92.1394 2022-03-21 21:21:21,117 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:22:20,423 - finetune_modelnet - INFO - [Training] EPOCH: 293 EpochTime = 59.304 (s) Losses = ['0.0112', '99.3994'] lr = 0.000002 2022-03-21 21:22:31,009 - finetune_modelnet - INFO - [Validation] EPOCH: 293 acc = 92.2204 2022-03-21 21:22:31,644 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:23:31,142 - finetune_modelnet - INFO - [Training] EPOCH: 294 EpochTime = 59.496 (s) Losses = ['0.0102', '99.4910'] lr = 0.000001 2022-03-21 21:23:41,686 - finetune_modelnet - INFO - [Validation] EPOCH: 294 acc = 92.1394 2022-03-21 21:23:42,316 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:24:42,101 - finetune_modelnet - INFO - [Training] EPOCH: 295 EpochTime = 59.784 (s) Losses = ['0.0123', '99.3485'] lr = 0.000001 2022-03-21 21:24:52,672 - finetune_modelnet - INFO - [Validation] EPOCH: 295 acc = 92.2204 2022-03-21 21:24:53,351 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:25:53,462 - finetune_modelnet - INFO - [Training] EPOCH: 296 EpochTime = 60.109 (s) Losses = ['0.0101', '99.4503'] lr = 0.000001 2022-03-21 21:26:03,776 - finetune_modelnet - INFO - [Validation] EPOCH: 296 acc = 92.0989 2022-03-21 21:26:04,399 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:27:04,968 - finetune_modelnet - INFO - [Training] EPOCH: 297 EpochTime = 60.568 (s) Losses = ['0.0103', '99.4503'] lr = 0.000001 2022-03-21 21:27:15,251 - finetune_modelnet - INFO - [Validation] EPOCH: 297 acc = 91.9368 2022-03-21 21:27:15,930 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:28:16,232 - finetune_modelnet - INFO - [Training] EPOCH: 298 EpochTime = 60.300 (s) Losses = ['0.0106', '99.3994'] lr = 0.000001 2022-03-21 21:28:26,665 - finetune_modelnet - INFO - [Validation] EPOCH: 298 acc = 91.9368 2022-03-21 21:28:27,332 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:29:27,906 - finetune_modelnet - INFO - [Training] EPOCH: 299 EpochTime = 60.572 (s) Losses = ['0.0103', '99.4707'] lr = 0.000001 2022-03-21 21:29:38,401 - finetune_modelnet - INFO - [Validation] EPOCH: 299 acc = 92.0178 2022-03-21 21:29:39,072 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:30:39,501 - finetune_modelnet - INFO - [Training] EPOCH: 300 EpochTime = 60.428 (s) Losses = ['0.0100', '99.4707'] lr = 0.000001 2022-03-21 21:30:50,036 - finetune_modelnet - INFO - [Validation] EPOCH: 300 acc = 92.1394 2022-03-21 21:30:50,740 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth

Pang-Yatian commented 2 years ago

Hi,

I did not see the best acc in your log. Note that the best acc may not occur in the last epochs. Please find our fine-tune logs here.

yanghu819 commented 2 years ago

The full log is here，the best validation accuracy is lower than 93%

2022-03-21 15:31:40,955 - finetune_modelnet - INFO - Copy the Config file from cfgs/finetune_modelnet.yaml to ./experiments/finetune_modelnet/cfgs/model_40/config.yaml 2022-03-21 15:31:40,955 - finetune_modelnet - INFO - args.config : cfgs/finetune_modelnet.yaml 2022-03-21 15:31:40,955 - finetune_modelnet - INFO - args.launcher : none 2022-03-21 15:31:40,955 - finetune_modelnet - INFO - args.local_rank : 0 2022-03-21 15:31:40,955 - finetune_modelnet - INFO - args.num_workers : 8 2022-03-21 15:31:40,955 - finetune_modelnet - INFO - args.seed : 0 2022-03-21 15:31:40,955 - finetune_modelnet - INFO - args.deterministic : False 2022-03-21 15:31:40,955 - finetune_modelnet - INFO - args.sync_bn : False 2022-03-21 15:31:40,955 - finetune_modelnet - INFO - args.exp_name : model_40 2022-03-21 15:31:40,956 - finetune_modelnet - INFO - args.loss : cd1 2022-03-21 15:31:40,956 - finetune_modelnet - INFO - args.start_ckpts : None 2022-03-21 15:31:40,956 - finetune_modelnet - INFO - args.ckpts : /data/jupyter/point-mae/Point-MAE/experiments/pretrain/cfgs/pretrain_try/ckpt-last.pth 2022-03-21 15:31:40,956 - finetune_modelnet - INFO - args.val_freq : 1 2022-03-21 15:31:40,956 - finetune_modelnet - INFO - args.vote : False 2022-03-21 15:31:40,956 - finetune_modelnet - INFO - args.resume : False 2022-03-21 15:31:40,956 - finetune_modelnet - INFO - args.test : False 2022-03-21 15:31:40,956 - finetune_modelnet - INFO - args.finetune_model : True 2022-03-21 15:31:40,956 - finetune_modelnet - INFO - args.scratch_model : False 2022-03-21 15:31:40,956 - finetune_modelnet - INFO - args.mode : None 2022-03-21 15:31:40,956 - finetune_modelnet - INFO - args.way : -1 2022-03-21 15:31:40,956 - finetune_modelnet - INFO - args.shot : -1 2022-03-21 15:31:40,956 - finetune_modelnet - INFO - args.fold : -1 2022-03-21 15:31:40,956 - finetune_modelnet - INFO - args.experiment_path : ./experiments/finetune_modelnet/cfgs/model_40 2022-03-21 15:31:40,956 - finetune_modelnet - INFO - args.tfboard_path : ./experiments/finetune_modelnet/cfgs/TFBoard/model_40 2022-03-21 15:31:40,956 - finetune_modelnet - INFO - args.log_name : finetune_modelnet 2022-03-21 15:31:40,956 - finetune_modelnet - INFO - args.use_gpu : True 2022-03-21 15:31:40,956 - finetune_modelnet - INFO - args.distributed : False 2022-03-21 15:31:40,956 - finetune_modelnet - INFO - config.optimizer = edict() 2022-03-21 15:31:40,956 - finetune_modelnet - INFO - config.optimizer.type : AdamW 2022-03-21 15:31:40,956 - finetune_modelnet - INFO - config.optimizer.kwargs = edict() 2022-03-21 15:31:40,956 - finetune_modelnet - INFO - config.optimizer.kwargs.lr : 0.0005 2022-03-21 15:31:40,956 - finetune_modelnet - INFO - config.optimizer.kwargs.weight_decay : 0.05 2022-03-21 15:31:40,956 - finetune_modelnet - INFO - config.scheduler = edict() 2022-03-21 15:31:40,956 - finetune_modelnet - INFO - config.scheduler.type : CosLR 2022-03-21 15:31:40,956 - finetune_modelnet - INFO - config.scheduler.kwargs = edict() 2022-03-21 15:31:40,956 - finetune_modelnet - INFO - config.scheduler.kwargs.epochs : 300 2022-03-21 15:31:40,956 - finetune_modelnet - INFO - config.scheduler.kwargs.initial_epochs : 10 2022-03-21 15:31:40,956 - finetune_modelnet - INFO - config.dataset = edict() 2022-03-21 15:31:40,956 - finetune_modelnet - INFO - config.dataset.train = edict() 2022-03-21 15:31:40,957 - finetune_modelnet - INFO - config.dataset.train.base = edict() 2022-03-21 15:31:40,957 - finetune_modelnet - INFO - config.dataset.train.base.NAME : ModelNet 2022-03-21 15:31:40,957 - finetune_modelnet - INFO - config.dataset.train.base.DATA_PATH : data/ModelNet/modelnet40_normal_resampled 2022-03-21 15:31:40,957 - finetune_modelnet - INFO - config.dataset.train.base.N_POINTS : 8192 2022-03-21 15:31:40,957 - finetune_modelnet - INFO - config.dataset.train.base.NUM_CATEGORY : 40 2022-03-21 15:31:40,957 - finetune_modelnet - INFO - config.dataset.train.base.USE_NORMALS : False 2022-03-21 15:31:40,957 - finetune_modelnet - INFO - config.dataset.train.others = edict() 2022-03-21 15:31:40,957 - finetune_modelnet - INFO - config.dataset.train.others.subset : train 2022-03-21 15:31:40,957 - finetune_modelnet - INFO - config.dataset.train.others.bs : 32 2022-03-21 15:31:40,957 - finetune_modelnet - INFO - config.dataset.val = edict() 2022-03-21 15:31:40,957 - finetune_modelnet - INFO - config.dataset.val.base = edict() 2022-03-21 15:31:40,957 - finetune_modelnet - INFO - config.dataset.val.base.NAME : ModelNet 2022-03-21 15:31:40,957 - finetune_modelnet - INFO - config.dataset.val.base.DATA_PATH : data/ModelNet/modelnet40_normal_resampled 2022-03-21 15:31:40,957 - finetune_modelnet - INFO - config.dataset.val.base.N_POINTS : 8192 2022-03-21 15:31:40,957 - finetune_modelnet - INFO - config.dataset.val.base.NUM_CATEGORY : 40 2022-03-21 15:31:40,957 - finetune_modelnet - INFO - config.dataset.val.base.USE_NORMALS : False 2022-03-21 15:31:40,957 - finetune_modelnet - INFO - config.dataset.val.others = edict() 2022-03-21 15:31:40,957 - finetune_modelnet - INFO - config.dataset.val.others.subset : test 2022-03-21 15:31:40,957 - finetune_modelnet - INFO - config.dataset.val.others.bs : 64 2022-03-21 15:31:40,957 - finetune_modelnet - INFO - config.dataset.test = edict() 2022-03-21 15:31:40,957 - finetune_modelnet - INFO - config.dataset.test.base = edict() 2022-03-21 15:31:40,957 - finetune_modelnet - INFO - config.dataset.test.base.NAME : ModelNet 2022-03-21 15:31:40,957 - finetune_modelnet - INFO - config.dataset.test.base.DATA_PATH : data/ModelNet/modelnet40_normal_resampled 2022-03-21 15:31:40,957 - finetune_modelnet - INFO - config.dataset.test.base.N_POINTS : 8192 2022-03-21 15:31:40,957 - finetune_modelnet - INFO - config.dataset.test.base.NUM_CATEGORY : 40 2022-03-21 15:31:40,957 - finetune_modelnet - INFO - config.dataset.test.base.USE_NORMALS : False 2022-03-21 15:31:40,957 - finetune_modelnet - INFO - config.dataset.test.others = edict() 2022-03-21 15:31:40,957 - finetune_modelnet - INFO - config.dataset.test.others.subset : test 2022-03-21 15:31:40,957 - finetune_modelnet - INFO - config.dataset.test.others.bs : 32 2022-03-21 15:31:40,957 - finetune_modelnet - INFO - config.model = edict() 2022-03-21 15:31:40,957 - finetune_modelnet - INFO - config.model.NAME : PointTransformer 2022-03-21 15:31:40,958 - finetune_modelnet - INFO - config.model.trans_dim : 384 2022-03-21 15:31:40,958 - finetune_modelnet - INFO - config.model.depth : 12 2022-03-21 15:31:40,958 - finetune_modelnet - INFO - config.model.drop_path_rate : 0.1 2022-03-21 15:31:40,958 - finetune_modelnet - INFO - config.model.cls_dim : 40 2022-03-21 15:31:40,958 - finetune_modelnet - INFO - config.model.num_heads : 6 2022-03-21 15:31:40,958 - finetune_modelnet - INFO - config.model.group_size : 32 2022-03-21 15:31:40,958 - finetune_modelnet - INFO - config.model.num_group : 64 2022-03-21 15:31:40,958 - finetune_modelnet - INFO - config.model.encoder_dims : 384 2022-03-21 15:31:40,958 - finetune_modelnet - INFO - config.npoints : 1024 2022-03-21 15:31:40,958 - finetune_modelnet - INFO - config.total_bs : 32 2022-03-21 15:31:40,958 - finetune_modelnet - INFO - config.step_per_update : 1 2022-03-21 15:31:40,958 - finetune_modelnet - INFO - config.max_epoch : 300 2022-03-21 15:31:40,958 - finetune_modelnet - INFO - config.grad_norm_clip : 10 2022-03-21 15:31:40,958 - finetune_modelnet - INFO - Distributed training: False 2022-03-21 15:31:40,958 - finetune_modelnet - INFO - Set random seed to 0, deterministic: False 2022-03-21 15:31:47,127 - finetune_modelnet - INFO - Using Data parallel ... 2022-03-21 15:32:45,414 - finetune_modelnet - INFO - [Training] EPOCH: 0 EpochTime = 58.281 (s) Losses = ['3.8159', '2.6568'] lr = 0.000001 2022-03-21 15:32:45,953 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 15:33:44,571 - finetune_modelnet - INFO - [Training] EPOCH: 1 EpochTime = 58.617 (s) Losses = ['3.7706', '3.1046'] lr = 0.000051 2022-03-21 15:33:54,966 - finetune_modelnet - INFO - [Validation] EPOCH: 1 acc = 5.7536 2022-03-21 15:33:55,505 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-best.pth 2022-03-21 15:33:55,505 - finetune_modelnet - INFO - -------------------------------------------------------------------------------------------- 2022-03-21 15:33:56,033 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 15:34:54,384 - finetune_modelnet - INFO - [Training] EPOCH: 2 EpochTime = 58.349 (s) Losses = ['2.9931', '30.3848'] lr = 0.000101 2022-03-21 15:35:04,498 - finetune_modelnet - INFO - [Validation] EPOCH: 2 acc = 49.4327 2022-03-21 15:35:05,000 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-best.pth 2022-03-21 15:35:05,001 - finetune_modelnet - INFO - -------------------------------------------------------------------------------------------- 2022-03-21 15:35:05,549 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 15:36:04,322 - finetune_modelnet - INFO - [Training] EPOCH: 3 EpochTime = 58.772 (s) Losses = ['1.9565', '57.4104'] lr = 0.000151 2022-03-21 15:36:14,251 - finetune_modelnet - INFO - [Validation] EPOCH: 3 acc = 68.7196 2022-03-21 15:36:14,777 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-best.pth 2022-03-21 15:36:14,777 - finetune_modelnet - INFO - -------------------------------------------------------------------------------------------- 2022-03-21 15:36:15,330 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 15:37:14,120 - finetune_modelnet - INFO - [Training] EPOCH: 4 EpochTime = 58.789 (s) Losses = ['1.3053', '72.2007'] lr = 0.000201 2022-03-21 15:37:24,169 - finetune_modelnet - INFO - [Validation] EPOCH: 4 acc = 81.6045 2022-03-21 15:37:24,686 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-best.pth 2022-03-21 15:37:24,686 - finetune_modelnet - INFO - -------------------------------------------------------------------------------------------- 2022-03-21 15:37:25,233 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 15:38:24,393 - finetune_modelnet - INFO - [Training] EPOCH: 5 EpochTime = 59.159 (s) Losses = ['0.8835', '80.5476'] lr = 0.000251 2022-03-21 15:38:34,432 - finetune_modelnet - INFO - [Validation] EPOCH: 5 acc = 87.5203 2022-03-21 15:38:35,001 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-best.pth 2022-03-21 15:38:35,001 - finetune_modelnet - INFO - -------------------------------------------------------------------------------------------- 2022-03-21 15:38:35,578 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 15:39:33,769 - finetune_modelnet - INFO - [Training] EPOCH: 6 EpochTime = 58.190 (s) Losses = ['0.6303', '85.1588'] lr = 0.000300 2022-03-21 15:39:43,824 - finetune_modelnet - INFO - [Validation] EPOCH: 6 acc = 88.6548 2022-03-21 15:39:44,421 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-best.pth 2022-03-21 15:39:44,421 - finetune_modelnet - INFO - -------------------------------------------------------------------------------------------- 2022-03-21 15:39:44,989 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 15:40:43,943 - finetune_modelnet - INFO - [Training] EPOCH: 7 EpochTime = 58.952 (s) Losses = ['0.5346', '86.3701'] lr = 0.000350 2022-03-21 15:40:54,021 - finetune_modelnet - INFO - [Validation] EPOCH: 7 acc = 89.3841 2022-03-21 15:40:54,733 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-best.pth 2022-03-21 15:40:54,734 - finetune_modelnet - INFO - -------------------------------------------------------------------------------------------- 2022-03-21 15:40:55,342 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 15:41:53,502 - finetune_modelnet - INFO - [Training] EPOCH: 8 EpochTime = 58.159 (s) Losses = ['0.4792', '87.1030'] lr = 0.000400 2022-03-21 15:42:03,610 - finetune_modelnet - INFO - [Validation] EPOCH: 8 acc = 89.1005 2022-03-21 15:42:04,170 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 15:43:03,859 - finetune_modelnet - INFO - [Training] EPOCH: 9 EpochTime = 59.688 (s) Losses = ['0.4376', '87.7647'] lr = 0.000450 2022-03-21 15:43:13,915 - finetune_modelnet - INFO - [Validation] EPOCH: 9 acc = 89.5057 2022-03-21 15:43:14,424 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-best.pth 2022-03-21 15:43:14,424 - finetune_modelnet - INFO - -------------------------------------------------------------------------------------------- 2022-03-21 15:43:14,980 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 15:44:13,415 - finetune_modelnet - INFO - [Training] EPOCH: 10 EpochTime = 58.434 (s) Losses = ['0.4207', '87.8563'] lr = 0.000499 2022-03-21 15:44:23,505 - finetune_modelnet - INFO - [Validation] EPOCH: 10 acc = 89.4652 2022-03-21 15:44:24,058 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 15:45:22,833 - finetune_modelnet - INFO - [Training] EPOCH: 11 EpochTime = 58.774 (s) Losses = ['0.4200', '87.8257'] lr = 0.000498 2022-03-21 15:45:32,900 - finetune_modelnet - INFO - [Validation] EPOCH: 11 acc = 90.3160 2022-03-21 15:45:33,457 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-best.pth 2022-03-21 15:45:33,457 - finetune_modelnet - INFO - -------------------------------------------------------------------------------------------- 2022-03-21 15:45:33,988 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 15:46:32,155 - finetune_modelnet - INFO - [Training] EPOCH: 12 EpochTime = 58.165 (s) Losses = ['0.3840', '88.7317'] lr = 0.000498 2022-03-21 15:46:42,218 - finetune_modelnet - INFO - [Validation] EPOCH: 12 acc = 89.4246 2022-03-21 15:47:06,313 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 15:48:04,844 - finetune_modelnet - INFO - [Training] EPOCH: 13 EpochTime = 58.529 (s) Losses = ['0.3893', '88.3245'] lr = 0.000498 2022-03-21 15:48:14,953 - finetune_modelnet - INFO - [Validation] EPOCH: 13 acc = 88.3712 2022-03-21 15:48:15,579 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 15:49:13,937 - finetune_modelnet - INFO - [Training] EPOCH: 14 EpochTime = 58.357 (s) Losses = ['0.3780', '88.6808'] lr = 0.000497 2022-03-21 15:49:24,009 - finetune_modelnet - INFO - [Validation] EPOCH: 14 acc = 89.3841 2022-03-21 15:49:26,425 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 15:50:25,599 - finetune_modelnet - INFO - [Training] EPOCH: 15 EpochTime = 59.173 (s) Losses = ['0.3612', '89.1388'] lr = 0.000497 2022-03-21 15:50:35,643 - finetune_modelnet - INFO - [Validation] EPOCH: 15 acc = 89.1815 2022-03-21 15:51:20,685 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 15:52:19,769 - finetune_modelnet - INFO - [Training] EPOCH: 16 EpochTime = 59.083 (s) Losses = ['0.3226', '90.1262'] lr = 0.000497 2022-03-21 15:52:29,854 - finetune_modelnet - INFO - [Validation] EPOCH: 16 acc = 89.7083 2022-03-21 15:52:30,445 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 15:53:28,523 - finetune_modelnet - INFO - [Training] EPOCH: 17 EpochTime = 58.077 (s) Losses = ['0.3218', '90.1975'] lr = 0.000496 2022-03-21 15:53:38,617 - finetune_modelnet - INFO - [Validation] EPOCH: 17 acc = 90.4376 2022-03-21 15:53:40,245 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-best.pth 2022-03-21 15:53:40,246 - finetune_modelnet - INFO - -------------------------------------------------------------------------------------------- 2022-03-21 15:53:41,680 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 15:54:39,995 - finetune_modelnet - INFO - [Training] EPOCH: 18 EpochTime = 58.313 (s) Losses = ['0.3119', '90.5639'] lr = 0.000496 2022-03-21 15:54:50,111 - finetune_modelnet - INFO - [Validation] EPOCH: 18 acc = 87.7634 2022-03-21 15:54:52,310 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 15:55:50,418 - finetune_modelnet - INFO - [Training] EPOCH: 19 EpochTime = 58.106 (s) Losses = ['0.3011', '90.8388'] lr = 0.000495 2022-03-21 15:56:00,398 - finetune_modelnet - INFO - [Validation] EPOCH: 19 acc = 90.1134 2022-03-21 15:56:00,939 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 15:56:59,384 - finetune_modelnet - INFO - [Training] EPOCH: 20 EpochTime = 58.444 (s) Losses = ['0.2921', '90.8693'] lr = 0.000495 2022-03-21 15:57:09,504 - finetune_modelnet - INFO - [Validation] EPOCH: 20 acc = 89.3841 2022-03-21 15:57:09,957 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 15:58:08,194 - finetune_modelnet - INFO - [Training] EPOCH: 21 EpochTime = 58.236 (s) Losses = ['0.3024', '90.5945'] lr = 0.000494 2022-03-21 15:58:18,168 - finetune_modelnet - INFO - [Validation] EPOCH: 21 acc = 89.9109 2022-03-21 15:58:18,754 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 15:59:17,411 - finetune_modelnet - INFO - [Training] EPOCH: 22 EpochTime = 58.655 (s) Losses = ['0.2663', '91.8160'] lr = 0.000493 2022-03-21 15:59:27,495 - finetune_modelnet - INFO - [Validation] EPOCH: 22 acc = 91.6126 2022-03-21 15:59:28,059 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-best.pth 2022-03-21 15:59:28,060 - finetune_modelnet - INFO - -------------------------------------------------------------------------------------------- 2022-03-21 15:59:28,594 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:00:27,428 - finetune_modelnet - INFO - [Training] EPOCH: 23 EpochTime = 58.833 (s) Losses = ['0.2764', '91.3783'] lr = 0.000493 2022-03-21 16:00:37,498 - finetune_modelnet - INFO - [Validation] EPOCH: 23 acc = 90.6402 2022-03-21 16:00:50,034 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:01:48,742 - finetune_modelnet - INFO - [Training] EPOCH: 24 EpochTime = 58.707 (s) Losses = ['0.2699', '91.3986'] lr = 0.000492 2022-03-21 16:01:58,745 - finetune_modelnet - INFO - [Validation] EPOCH: 24 acc = 90.6402 2022-03-21 16:02:01,340 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:02:59,917 - finetune_modelnet - INFO - [Training] EPOCH: 25 EpochTime = 58.575 (s) Losses = ['0.2691', '91.3579'] lr = 0.000491 2022-03-21 16:03:09,946 - finetune_modelnet - INFO - [Validation] EPOCH: 25 acc = 90.3971 2022-03-21 16:03:10,505 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:04:08,599 - finetune_modelnet - INFO - [Training] EPOCH: 26 EpochTime = 58.093 (s) Losses = ['0.2400', '92.4572'] lr = 0.000491 2022-03-21 16:04:18,621 - finetune_modelnet - INFO - [Validation] EPOCH: 26 acc = 89.3841 2022-03-21 16:04:19,161 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:05:17,479 - finetune_modelnet - INFO - [Training] EPOCH: 27 EpochTime = 58.316 (s) Losses = ['0.2548', '92.0399'] lr = 0.000490 2022-03-21 16:05:27,574 - finetune_modelnet - INFO - [Validation] EPOCH: 27 acc = 89.7083 2022-03-21 16:05:28,128 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:06:27,813 - finetune_modelnet - INFO - [Training] EPOCH: 28 EpochTime = 59.683 (s) Losses = ['0.2519', '92.0195'] lr = 0.000489 2022-03-21 16:06:37,882 - finetune_modelnet - INFO - [Validation] EPOCH: 28 acc = 90.7212 2022-03-21 16:06:38,470 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:07:37,553 - finetune_modelnet - INFO - [Training] EPOCH: 29 EpochTime = 59.081 (s) Losses = ['0.2207', '93.0069'] lr = 0.000489 2022-03-21 16:07:47,650 - finetune_modelnet - INFO - [Validation] EPOCH: 29 acc = 90.6402 2022-03-21 16:07:48,230 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:08:46,315 - finetune_modelnet - INFO - [Training] EPOCH: 30 EpochTime = 58.084 (s) Losses = ['0.2331', '92.7728'] lr = 0.000488 2022-03-21 16:08:56,430 - finetune_modelnet - INFO - [Validation] EPOCH: 30 acc = 91.7747 2022-03-21 16:09:04,169 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-best.pth 2022-03-21 16:09:04,169 - finetune_modelnet - INFO - -------------------------------------------------------------------------------------------- 2022-03-21 16:09:04,719 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:10:02,967 - finetune_modelnet - INFO - [Training] EPOCH: 31 EpochTime = 58.247 (s) Losses = ['0.2434', '92.3962'] lr = 0.000487 2022-03-21 16:10:12,954 - finetune_modelnet - INFO - [Validation] EPOCH: 31 acc = 88.1280 2022-03-21 16:10:39,759 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:11:37,827 - finetune_modelnet - INFO - [Training] EPOCH: 32 EpochTime = 58.067 (s) Losses = ['0.2529', '92.2129'] lr = 0.000486 2022-03-21 16:11:47,885 - finetune_modelnet - INFO - [Validation] EPOCH: 32 acc = 91.0454 2022-03-21 16:11:48,533 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:12:47,804 - finetune_modelnet - INFO - [Training] EPOCH: 33 EpochTime = 59.269 (s) Losses = ['0.2280', '92.6812'] lr = 0.000485 2022-03-21 16:12:57,808 - finetune_modelnet - INFO - [Validation] EPOCH: 33 acc = 91.2075 2022-03-21 16:13:30,555 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:14:29,585 - finetune_modelnet - INFO - [Training] EPOCH: 34 EpochTime = 59.029 (s) Losses = ['0.2244', '92.9458'] lr = 0.000484 2022-03-21 16:14:39,783 - finetune_modelnet - INFO - [Validation] EPOCH: 34 acc = 91.8558 2022-03-21 16:14:40,463 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-best.pth 2022-03-21 16:14:40,463 - finetune_modelnet - INFO - -------------------------------------------------------------------------------------------- 2022-03-21 16:14:41,397 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:15:41,612 - finetune_modelnet - INFO - [Training] EPOCH: 35 EpochTime = 60.213 (s) Losses = ['0.2059', '93.5566'] lr = 0.000483 2022-03-21 16:15:51,842 - finetune_modelnet - INFO - [Validation] EPOCH: 35 acc = 91.1669 2022-03-21 16:15:53,087 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:16:53,426 - finetune_modelnet - INFO - [Training] EPOCH: 36 EpochTime = 60.337 (s) Losses = ['0.2193', '93.2003'] lr = 0.000482 2022-03-21 16:17:03,539 - finetune_modelnet - INFO - [Validation] EPOCH: 36 acc = 91.4911 2022-03-21 16:17:04,115 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:18:04,238 - finetune_modelnet - INFO - [Training] EPOCH: 37 EpochTime = 60.121 (s) Losses = ['0.2201', '93.0782'] lr = 0.000482 2022-03-21 16:18:14,411 - finetune_modelnet - INFO - [Validation] EPOCH: 37 acc = 91.3695 2022-03-21 16:18:15,032 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:19:15,993 - finetune_modelnet - INFO - [Training] EPOCH: 38 EpochTime = 60.959 (s) Losses = ['0.1949', '93.5057'] lr = 0.000481 2022-03-21 16:19:26,372 - finetune_modelnet - INFO - [Validation] EPOCH: 38 acc = 92.2204 2022-03-21 16:19:27,056 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-best.pth 2022-03-21 16:19:27,056 - finetune_modelnet - INFO - -------------------------------------------------------------------------------------------- 2022-03-21 16:19:27,707 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:20:27,722 - finetune_modelnet - INFO - [Training] EPOCH: 39 EpochTime = 60.013 (s) Losses = ['0.2109', '93.2716'] lr = 0.000479 2022-03-21 16:20:37,754 - finetune_modelnet - INFO - [Validation] EPOCH: 39 acc = 91.3695 2022-03-21 16:20:38,236 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:21:36,812 - finetune_modelnet - INFO - [Training] EPOCH: 40 EpochTime = 58.575 (s) Losses = ['0.2061', '93.4955'] lr = 0.000478 2022-03-21 16:21:46,841 - finetune_modelnet - INFO - [Validation] EPOCH: 40 acc = 90.8023 2022-03-21 16:21:47,445 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:22:45,843 - finetune_modelnet - INFO - [Training] EPOCH: 41 EpochTime = 58.396 (s) Losses = ['0.1896', '93.7296'] lr = 0.000477 2022-03-21 16:22:55,825 - finetune_modelnet - INFO - [Validation] EPOCH: 41 acc = 92.3825 2022-03-21 16:22:56,489 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-best.pth 2022-03-21 16:22:56,489 - finetune_modelnet - INFO - -------------------------------------------------------------------------------------------- 2022-03-21 16:22:57,149 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:23:55,468 - finetune_modelnet - INFO - [Training] EPOCH: 42 EpochTime = 58.317 (s) Losses = ['0.1985', '93.6380'] lr = 0.000476 2022-03-21 16:24:05,575 - finetune_modelnet - INFO - [Validation] EPOCH: 42 acc = 91.1264 2022-03-21 16:24:06,131 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:25:04,592 - finetune_modelnet - INFO - [Training] EPOCH: 43 EpochTime = 58.459 (s) Losses = ['0.1853', '93.9943'] lr = 0.000475 2022-03-21 16:25:14,626 - finetune_modelnet - INFO - [Validation] EPOCH: 43 acc = 90.1134 2022-03-21 16:25:15,206 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:26:13,954 - finetune_modelnet - INFO - [Training] EPOCH: 44 EpochTime = 58.746 (s) Losses = ['0.1940', '93.8925'] lr = 0.000474 2022-03-21 16:26:24,031 - finetune_modelnet - INFO - [Validation] EPOCH: 44 acc = 91.7747 2022-03-21 16:26:24,592 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:27:23,657 - finetune_modelnet - INFO - [Training] EPOCH: 45 EpochTime = 59.064 (s) Losses = ['0.1976', '93.6787'] lr = 0.000473 2022-03-21 16:27:33,764 - finetune_modelnet - INFO - [Validation] EPOCH: 45 acc = 90.5186 2022-03-21 16:27:34,254 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:28:32,750 - finetune_modelnet - INFO - [Training] EPOCH: 46 EpochTime = 58.493 (s) Losses = ['0.2069', '93.4039'] lr = 0.000472 2022-03-21 16:28:42,859 - finetune_modelnet - INFO - [Validation] EPOCH: 46 acc = 91.3695 2022-03-21 16:28:43,347 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:29:42,589 - finetune_modelnet - INFO - [Training] EPOCH: 47 EpochTime = 59.241 (s) Losses = ['0.1938', '94.0045'] lr = 0.000470 2022-03-21 16:29:52,632 - finetune_modelnet - INFO - [Validation] EPOCH: 47 acc = 91.7747 2022-03-21 16:29:53,190 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:30:51,654 - finetune_modelnet - INFO - [Training] EPOCH: 48 EpochTime = 58.462 (s) Losses = ['0.1733', '94.3302'] lr = 0.000469 2022-03-21 16:31:01,705 - finetune_modelnet - INFO - [Validation] EPOCH: 48 acc = 91.9773 2022-03-21 16:31:02,297 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:32:01,292 - finetune_modelnet - INFO - [Training] EPOCH: 49 EpochTime = 58.994 (s) Losses = ['0.1746', '94.4015'] lr = 0.000468 2022-03-21 16:32:11,397 - finetune_modelnet - INFO - [Validation] EPOCH: 49 acc = 92.1799 2022-03-21 16:32:11,975 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:33:11,176 - finetune_modelnet - INFO - [Training] EPOCH: 50 EpochTime = 59.199 (s) Losses = ['0.1730', '94.2284'] lr = 0.000467 2022-03-21 16:33:21,219 - finetune_modelnet - INFO - [Validation] EPOCH: 50 acc = 91.5316 2022-03-21 16:33:21,784 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:34:20,890 - finetune_modelnet - INFO - [Training] EPOCH: 51 EpochTime = 59.105 (s) Losses = ['0.1676', '94.5949'] lr = 0.000465 2022-03-21 16:34:31,007 - finetune_modelnet - INFO - [Validation] EPOCH: 51 acc = 90.5186 2022-03-21 16:34:31,607 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:35:30,686 - finetune_modelnet - INFO - [Training] EPOCH: 52 EpochTime = 59.078 (s) Losses = ['0.1732', '94.3811'] lr = 0.000464 2022-03-21 16:35:40,696 - finetune_modelnet - INFO - [Validation] EPOCH: 52 acc = 90.8428 2022-03-21 16:35:41,203 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:36:39,613 - finetune_modelnet - INFO - [Training] EPOCH: 53 EpochTime = 58.409 (s) Losses = ['0.1491', '94.7374'] lr = 0.000463 2022-03-21 16:36:49,608 - finetune_modelnet - INFO - [Validation] EPOCH: 53 acc = 91.0454 2022-03-21 16:36:50,140 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:37:48,513 - finetune_modelnet - INFO - [Training] EPOCH: 54 EpochTime = 58.372 (s) Losses = ['0.1586', '94.8188'] lr = 0.000461 2022-03-21 16:37:58,581 - finetune_modelnet - INFO - [Validation] EPOCH: 54 acc = 91.5721 2022-03-21 16:37:59,162 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:38:57,563 - finetune_modelnet - INFO - [Training] EPOCH: 55 EpochTime = 58.400 (s) Losses = ['0.1823', '94.2793'] lr = 0.000460 2022-03-21 16:39:07,704 - finetune_modelnet - INFO - [Validation] EPOCH: 55 acc = 90.3971 2022-03-21 16:39:08,297 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:40:07,140 - finetune_modelnet - INFO - [Training] EPOCH: 56 EpochTime = 58.842 (s) Losses = ['0.1687', '94.7170'] lr = 0.000458 2022-03-21 16:40:17,233 - finetune_modelnet - INFO - [Validation] EPOCH: 56 acc = 91.6532 2022-03-21 16:40:17,793 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:41:16,069 - finetune_modelnet - INFO - [Training] EPOCH: 57 EpochTime = 58.275 (s) Losses = ['0.1972', '93.6584'] lr = 0.000457 2022-03-21 16:41:26,085 - finetune_modelnet - INFO - [Validation] EPOCH: 57 acc = 90.0729 2022-03-21 16:41:26,725 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:42:26,123 - finetune_modelnet - INFO - [Training] EPOCH: 58 EpochTime = 59.397 (s) Losses = ['0.1751', '94.4320'] lr = 0.000455 2022-03-21 16:42:36,263 - finetune_modelnet - INFO - [Validation] EPOCH: 58 acc = 91.3290 2022-03-21 16:42:36,807 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:43:34,996 - finetune_modelnet - INFO - [Training] EPOCH: 59 EpochTime = 58.188 (s) Losses = ['0.1519', '95.3176'] lr = 0.000454 2022-03-21 16:43:45,019 - finetune_modelnet - INFO - [Validation] EPOCH: 59 acc = 92.4230 2022-03-21 16:43:45,721 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-best.pth 2022-03-21 16:43:45,721 - finetune_modelnet - INFO - -------------------------------------------------------------------------------------------- 2022-03-21 16:43:46,281 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:44:45,544 - finetune_modelnet - INFO - [Training] EPOCH: 60 EpochTime = 59.262 (s) Losses = ['0.1596', '94.6050'] lr = 0.000452 2022-03-21 16:44:55,483 - finetune_modelnet - INFO - [Validation] EPOCH: 60 acc = 90.3971 2022-03-21 16:44:56,043 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:45:54,839 - finetune_modelnet - INFO - [Training] EPOCH: 61 EpochTime = 58.795 (s) Losses = ['0.1449', '95.1853'] lr = 0.000451 2022-03-21 16:46:04,813 - finetune_modelnet - INFO - [Validation] EPOCH: 61 acc = 92.5041 2022-03-21 16:46:05,381 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-best.pth 2022-03-21 16:46:05,381 - finetune_modelnet - INFO - -------------------------------------------------------------------------------------------- 2022-03-21 16:46:05,934 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:47:04,585 - finetune_modelnet - INFO - [Training] EPOCH: 62 EpochTime = 58.649 (s) Losses = ['0.1591', '94.8799'] lr = 0.000449 2022-03-21 16:47:14,688 - finetune_modelnet - INFO - [Validation] EPOCH: 62 acc = 90.8833 2022-03-21 16:47:15,181 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:48:14,094 - finetune_modelnet - INFO - [Training] EPOCH: 63 EpochTime = 58.911 (s) Losses = ['0.1565', '94.9002'] lr = 0.000448 2022-03-21 16:48:24,214 - finetune_modelnet - INFO - [Validation] EPOCH: 63 acc = 91.3695 2022-03-21 16:48:24,761 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:49:23,734 - finetune_modelnet - INFO - [Training] EPOCH: 64 EpochTime = 58.972 (s) Losses = ['0.1517', '95.0428'] lr = 0.000446 2022-03-21 16:49:33,795 - finetune_modelnet - INFO - [Validation] EPOCH: 64 acc = 92.2609 2022-03-21 16:49:34,325 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:50:32,792 - finetune_modelnet - INFO - [Training] EPOCH: 65 EpochTime = 58.465 (s) Losses = ['0.1524', '95.0631'] lr = 0.000444 2022-03-21 16:50:42,864 - finetune_modelnet - INFO - [Validation] EPOCH: 65 acc = 90.6402 2022-03-21 16:50:43,407 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:51:41,652 - finetune_modelnet - INFO - [Training] EPOCH: 66 EpochTime = 58.243 (s) Losses = ['0.1423', '95.4703'] lr = 0.000443 2022-03-21 16:51:51,587 - finetune_modelnet - INFO - [Validation] EPOCH: 66 acc = 91.4100 2022-03-21 16:51:52,146 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:52:50,826 - finetune_modelnet - INFO - [Training] EPOCH: 67 EpochTime = 58.678 (s) Losses = ['0.1517', '95.0224'] lr = 0.000441 2022-03-21 16:53:00,934 - finetune_modelnet - INFO - [Validation] EPOCH: 67 acc = 91.4100 2022-03-21 16:53:01,500 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:54:00,361 - finetune_modelnet - INFO - [Training] EPOCH: 68 EpochTime = 58.860 (s) Losses = ['0.1568', '94.8086'] lr = 0.000439 2022-03-21 16:54:10,494 - finetune_modelnet - INFO - [Validation] EPOCH: 68 acc = 92.3015 2022-03-21 16:54:11,026 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:55:09,523 - finetune_modelnet - INFO - [Training] EPOCH: 69 EpochTime = 58.495 (s) Losses = ['0.1676', '94.7577'] lr = 0.000438 2022-03-21 16:55:19,630 - finetune_modelnet - INFO - [Validation] EPOCH: 69 acc = 92.3420 2022-03-21 16:55:20,377 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:56:18,812 - finetune_modelnet - INFO - [Training] EPOCH: 70 EpochTime = 58.434 (s) Losses = ['0.1347', '95.6331'] lr = 0.000436 2022-03-21 16:56:28,823 - finetune_modelnet - INFO - [Validation] EPOCH: 70 acc = 92.0989 2022-03-21 16:56:29,396 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:57:27,718 - finetune_modelnet - INFO - [Training] EPOCH: 71 EpochTime = 58.321 (s) Losses = ['0.1476', '95.2972'] lr = 0.000434 2022-03-21 16:57:37,745 - finetune_modelnet - INFO - [Validation] EPOCH: 71 acc = 91.2480 2022-03-21 16:57:38,345 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:58:36,804 - finetune_modelnet - INFO - [Training] EPOCH: 72 EpochTime = 58.458 (s) Losses = ['0.1244', '95.8673'] lr = 0.000432 2022-03-21 16:58:46,911 - finetune_modelnet - INFO - [Validation] EPOCH: 72 acc = 91.3290 2022-03-21 16:58:47,428 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 16:59:46,954 - finetune_modelnet - INFO - [Training] EPOCH: 73 EpochTime = 59.524 (s) Losses = ['0.1467', '95.2667'] lr = 0.000431 2022-03-21 16:59:57,064 - finetune_modelnet - INFO - [Validation] EPOCH: 73 acc = 90.5997 2022-03-21 16:59:57,656 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:00:56,105 - finetune_modelnet - INFO - [Training] EPOCH: 74 EpochTime = 58.448 (s) Losses = ['0.1421', '95.4906'] lr = 0.000429 2022-03-21 17:01:06,166 - finetune_modelnet - INFO - [Validation] EPOCH: 74 acc = 89.4652 2022-03-21 17:01:06,661 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:02:06,277 - finetune_modelnet - INFO - [Training] EPOCH: 75 EpochTime = 59.615 (s) Losses = ['0.1337', '95.4194'] lr = 0.000427 2022-03-21 17:02:16,432 - finetune_modelnet - INFO - [Validation] EPOCH: 75 acc = 92.4635 2022-03-21 17:02:16,970 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:03:15,324 - finetune_modelnet - INFO - [Training] EPOCH: 76 EpochTime = 58.353 (s) Losses = ['0.1657', '94.7068'] lr = 0.000425 2022-03-21 17:03:25,377 - finetune_modelnet - INFO - [Validation] EPOCH: 76 acc = 90.5186 2022-03-21 17:03:25,871 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:04:25,183 - finetune_modelnet - INFO - [Training] EPOCH: 77 EpochTime = 59.311 (s) Losses = ['0.1288', '95.7858'] lr = 0.000423 2022-03-21 17:04:35,237 - finetune_modelnet - INFO - [Validation] EPOCH: 77 acc = 90.9643 2022-03-21 17:04:35,797 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:05:34,369 - finetune_modelnet - INFO - [Training] EPOCH: 78 EpochTime = 58.571 (s) Losses = ['0.1256', '95.9589'] lr = 0.000421 2022-03-21 17:05:44,359 - finetune_modelnet - INFO - [Validation] EPOCH: 78 acc = 91.6532 2022-03-21 17:05:44,886 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:06:43,360 - finetune_modelnet - INFO - [Training] EPOCH: 79 EpochTime = 58.473 (s) Losses = ['0.1271', '95.7655'] lr = 0.000419 2022-03-21 17:06:53,425 - finetune_modelnet - INFO - [Validation] EPOCH: 79 acc = 91.1669 2022-03-21 17:06:53,965 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:07:53,018 - finetune_modelnet - INFO - [Training] EPOCH: 80 EpochTime = 59.051 (s) Losses = ['0.1254', '95.8673'] lr = 0.000417 2022-03-21 17:08:03,066 - finetune_modelnet - INFO - [Validation] EPOCH: 80 acc = 90.7212 2022-03-21 17:10:16,632 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:11:14,597 - finetune_modelnet - INFO - [Training] EPOCH: 81 EpochTime = 57.964 (s) Losses = ['0.1342', '95.5619'] lr = 0.000415 2022-03-21 17:11:24,532 - finetune_modelnet - INFO - [Validation] EPOCH: 81 acc = 91.5316 2022-03-21 17:11:25,135 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:12:24,738 - finetune_modelnet - INFO - [Training] EPOCH: 82 EpochTime = 59.601 (s) Losses = ['0.1202', '95.9996'] lr = 0.000414 2022-03-21 17:12:34,862 - finetune_modelnet - INFO - [Validation] EPOCH: 82 acc = 91.4506 2022-03-21 17:12:35,386 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:13:33,711 - finetune_modelnet - INFO - [Training] EPOCH: 83 EpochTime = 58.323 (s) Losses = ['0.1273', '95.8265'] lr = 0.000412 2022-03-21 17:13:43,683 - finetune_modelnet - INFO - [Validation] EPOCH: 83 acc = 91.6532 2022-03-21 17:13:44,249 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:14:43,040 - finetune_modelnet - INFO - [Training] EPOCH: 84 EpochTime = 58.789 (s) Losses = ['0.1243', '96.0200'] lr = 0.000410 2022-03-21 17:14:53,153 - finetune_modelnet - INFO - [Validation] EPOCH: 84 acc = 89.9109 2022-03-21 17:14:53,724 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:15:52,159 - finetune_modelnet - INFO - [Training] EPOCH: 85 EpochTime = 58.434 (s) Losses = ['0.1321', '95.6230'] lr = 0.000408 2022-03-21 17:16:02,296 - finetune_modelnet - INFO - [Validation] EPOCH: 85 acc = 91.0454 2022-03-21 17:16:02,848 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:17:02,210 - finetune_modelnet - INFO - [Training] EPOCH: 86 EpochTime = 59.360 (s) Losses = ['0.1288', '95.7858'] lr = 0.000405 2022-03-21 17:17:12,276 - finetune_modelnet - INFO - [Validation] EPOCH: 86 acc = 91.4506 2022-03-21 17:17:12,804 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:18:11,190 - finetune_modelnet - INFO - [Training] EPOCH: 87 EpochTime = 58.385 (s) Losses = ['0.1215', '95.9996'] lr = 0.000403 2022-03-21 17:18:21,322 - finetune_modelnet - INFO - [Validation] EPOCH: 87 acc = 92.1799 2022-03-21 17:18:21,917 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:19:20,401 - finetune_modelnet - INFO - [Training] EPOCH: 88 EpochTime = 58.483 (s) Losses = ['0.1060', '96.4373'] lr = 0.000401 2022-03-21 17:19:30,536 - finetune_modelnet - INFO - [Validation] EPOCH: 88 acc = 90.5186 2022-03-21 17:19:31,156 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:20:30,684 - finetune_modelnet - INFO - [Training] EPOCH: 89 EpochTime = 59.527 (s) Losses = ['0.1067', '96.4882'] lr = 0.000399 2022-03-21 17:20:40,798 - finetune_modelnet - INFO - [Validation] EPOCH: 89 acc = 91.4100 2022-03-21 17:20:41,415 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:21:39,883 - finetune_modelnet - INFO - [Training] EPOCH: 90 EpochTime = 58.467 (s) Losses = ['0.1189', '96.0810'] lr = 0.000397 2022-03-21 17:21:50,034 - finetune_modelnet - INFO - [Validation] EPOCH: 90 acc = 91.8152 2022-03-21 17:21:50,642 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:22:49,224 - finetune_modelnet - INFO - [Training] EPOCH: 91 EpochTime = 58.581 (s) Losses = ['0.1189', '96.0505'] lr = 0.000395 2022-03-21 17:22:59,322 - finetune_modelnet - INFO - [Validation] EPOCH: 91 acc = 91.2075 2022-03-21 17:22:59,922 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:23:58,525 - finetune_modelnet - INFO - [Training] EPOCH: 92 EpochTime = 58.601 (s) Losses = ['0.1272', '95.7655'] lr = 0.000393 2022-03-21 17:24:08,534 - finetune_modelnet - INFO - [Validation] EPOCH: 92 acc = 90.7617 2022-03-21 17:24:09,017 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:25:08,755 - finetune_modelnet - INFO - [Training] EPOCH: 93 EpochTime = 59.737 (s) Losses = ['0.1273', '95.9487'] lr = 0.000391 2022-03-21 17:25:18,819 - finetune_modelnet - INFO - [Validation] EPOCH: 93 acc = 91.6126 2022-03-21 17:25:19,397 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:26:17,854 - finetune_modelnet - INFO - [Training] EPOCH: 94 EpochTime = 58.456 (s) Losses = ['0.1067', '96.6205'] lr = 0.000389 2022-03-21 17:26:27,877 - finetune_modelnet - INFO - [Validation] EPOCH: 94 acc = 91.1264 2022-03-21 17:26:28,377 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:27:26,860 - finetune_modelnet - INFO - [Training] EPOCH: 95 EpochTime = 58.482 (s) Losses = ['0.1115', '96.4373'] lr = 0.000386 2022-03-21 17:27:36,954 - finetune_modelnet - INFO - [Validation] EPOCH: 95 acc = 92.1394 2022-03-21 17:27:37,432 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:28:36,627 - finetune_modelnet - INFO - [Training] EPOCH: 96 EpochTime = 59.193 (s) Losses = ['0.1145', '96.1116'] lr = 0.000384 2022-03-21 17:28:46,673 - finetune_modelnet - INFO - [Validation] EPOCH: 96 acc = 91.8963 2022-03-21 17:28:47,231 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:29:46,895 - finetune_modelnet - INFO - [Training] EPOCH: 97 EpochTime = 59.662 (s) Losses = ['0.1144', '96.3762'] lr = 0.000382 2022-03-21 17:29:56,946 - finetune_modelnet - INFO - [Validation] EPOCH: 97 acc = 90.6807 2022-03-21 17:29:57,538 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:30:55,992 - finetune_modelnet - INFO - [Training] EPOCH: 98 EpochTime = 58.453 (s) Losses = ['0.1046', '96.6002'] lr = 0.000380 2022-03-21 17:31:05,991 - finetune_modelnet - INFO - [Validation] EPOCH: 98 acc = 91.8152 2022-03-21 17:31:06,577 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:32:05,268 - finetune_modelnet - INFO - [Training] EPOCH: 99 EpochTime = 58.690 (s) Losses = ['0.1023', '96.7121'] lr = 0.000378 2022-03-21 17:32:15,344 - finetune_modelnet - INFO - [Validation] EPOCH: 99 acc = 91.3290 2022-03-21 17:32:15,929 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:33:14,731 - finetune_modelnet - INFO - [Training] EPOCH: 100 EpochTime = 58.800 (s) Losses = ['0.1086', '96.5289'] lr = 0.000375 2022-03-21 17:33:24,807 - finetune_modelnet - INFO - [Validation] EPOCH: 100 acc = 91.8963 2022-03-21 17:33:25,410 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:34:24,672 - finetune_modelnet - INFO - [Training] EPOCH: 101 EpochTime = 59.260 (s) Losses = ['0.1055', '96.5594'] lr = 0.000373 2022-03-21 17:34:34,755 - finetune_modelnet - INFO - [Validation] EPOCH: 101 acc = 91.5316 2022-03-21 17:34:35,243 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:35:33,840 - finetune_modelnet - INFO - [Training] EPOCH: 102 EpochTime = 58.595 (s) Losses = ['0.0965', '96.6918'] lr = 0.000371 2022-03-21 17:35:43,837 - finetune_modelnet - INFO - [Validation] EPOCH: 102 acc = 91.8558 2022-03-21 17:35:44,359 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:36:42,793 - finetune_modelnet - INFO - [Training] EPOCH: 103 EpochTime = 58.432 (s) Losses = ['0.1007', '96.5289'] lr = 0.000368 2022-03-21 17:36:52,902 - finetune_modelnet - INFO - [Validation] EPOCH: 103 acc = 91.6126 2022-03-21 17:36:53,498 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:37:52,325 - finetune_modelnet - INFO - [Training] EPOCH: 104 EpochTime = 58.826 (s) Losses = ['0.0940', '96.9157'] lr = 0.000366 2022-03-21 17:38:02,424 - finetune_modelnet - INFO - [Validation] EPOCH: 104 acc = 90.9643 2022-03-21 17:38:03,048 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:39:02,609 - finetune_modelnet - INFO - [Training] EPOCH: 105 EpochTime = 59.559 (s) Losses = ['0.1178', '96.3253'] lr = 0.000364 2022-03-21 17:39:12,628 - finetune_modelnet - INFO - [Validation] EPOCH: 105 acc = 92.1394 2022-03-21 17:39:13,192 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:40:12,432 - finetune_modelnet - INFO - [Training] EPOCH: 106 EpochTime = 59.238 (s) Losses = ['0.1078', '96.5594'] lr = 0.000361 2022-03-21 17:40:22,662 - finetune_modelnet - INFO - [Validation] EPOCH: 106 acc = 91.4911 2022-03-21 17:40:23,345 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:41:23,366 - finetune_modelnet - INFO - [Training] EPOCH: 107 EpochTime = 60.019 (s) Losses = ['0.0958', '96.7834'] lr = 0.000359 2022-03-21 17:41:33,339 - finetune_modelnet - INFO - [Validation] EPOCH: 107 acc = 92.1394 2022-03-21 17:41:33,930 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:42:33,506 - finetune_modelnet - INFO - [Training] EPOCH: 108 EpochTime = 59.574 (s) Losses = ['0.1000', '96.5798'] lr = 0.000357 2022-03-21 17:42:43,545 - finetune_modelnet - INFO - [Validation] EPOCH: 108 acc = 92.0583 2022-03-21 17:42:44,095 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:43:43,131 - finetune_modelnet - INFO - [Training] EPOCH: 109 EpochTime = 59.035 (s) Losses = ['0.0919', '96.8852'] lr = 0.000354 2022-03-21 17:43:53,243 - finetune_modelnet - INFO - [Validation] EPOCH: 109 acc = 91.0049 2022-03-21 17:43:53,935 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:44:52,522 - finetune_modelnet - INFO - [Training] EPOCH: 110 EpochTime = 58.585 (s) Losses = ['0.0998', '96.8648'] lr = 0.000352 2022-03-21 17:45:02,588 - finetune_modelnet - INFO - [Validation] EPOCH: 110 acc = 91.7342 2022-03-21 17:45:03,240 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:46:01,965 - finetune_modelnet - INFO - [Training] EPOCH: 111 EpochTime = 58.724 (s) Losses = ['0.1002', '96.4882'] lr = 0.000350 2022-03-21 17:46:12,036 - finetune_modelnet - INFO - [Validation] EPOCH: 111 acc = 91.2480 2022-03-21 17:46:12,570 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:47:12,619 - finetune_modelnet - INFO - [Training] EPOCH: 112 EpochTime = 60.048 (s) Losses = ['0.0864', '97.0480'] lr = 0.000347 2022-03-21 17:47:22,809 - finetune_modelnet - INFO - [Validation] EPOCH: 112 acc = 91.6126 2022-03-21 17:47:23,403 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:48:22,195 - finetune_modelnet - INFO - [Training] EPOCH: 113 EpochTime = 58.790 (s) Losses = ['0.0844', '97.0786'] lr = 0.000345 2022-03-21 17:48:32,243 - finetune_modelnet - INFO - [Validation] EPOCH: 113 acc = 90.8023 2022-03-21 17:48:32,834 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:49:31,552 - finetune_modelnet - INFO - [Training] EPOCH: 114 EpochTime = 58.717 (s) Losses = ['0.1136', '96.3253'] lr = 0.000342 2022-03-21 17:49:41,563 - finetune_modelnet - INFO - [Validation] EPOCH: 114 acc = 91.6937 2022-03-21 17:49:42,230 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:50:41,257 - finetune_modelnet - INFO - [Training] EPOCH: 115 EpochTime = 59.025 (s) Losses = ['0.0925', '96.7936'] lr = 0.000340 2022-03-21 17:50:51,286 - finetune_modelnet - INFO - [Validation] EPOCH: 115 acc = 91.2480 2022-03-21 17:50:51,848 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:51:50,876 - finetune_modelnet - INFO - [Training] EPOCH: 116 EpochTime = 59.026 (s) Losses = ['0.0800', '97.2516'] lr = 0.000337 2022-03-21 17:52:00,955 - finetune_modelnet - INFO - [Validation] EPOCH: 116 acc = 91.4911 2022-03-21 17:52:01,576 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:53:00,386 - finetune_modelnet - INFO - [Training] EPOCH: 117 EpochTime = 58.809 (s) Losses = ['0.0858', '97.2516'] lr = 0.000335 2022-03-21 17:53:10,367 - finetune_modelnet - INFO - [Validation] EPOCH: 117 acc = 91.4100 2022-03-21 17:53:10,995 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:54:10,037 - finetune_modelnet - INFO - [Training] EPOCH: 118 EpochTime = 59.041 (s) Losses = ['0.0853', '97.2211'] lr = 0.000333 2022-03-21 17:54:20,165 - finetune_modelnet - INFO - [Validation] EPOCH: 118 acc = 91.3695 2022-03-21 17:54:20,787 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:55:19,413 - finetune_modelnet - INFO - [Training] EPOCH: 119 EpochTime = 58.625 (s) Losses = ['0.0851', '97.1295'] lr = 0.000330 2022-03-21 17:55:29,458 - finetune_modelnet - INFO - [Validation] EPOCH: 119 acc = 91.0454 2022-03-21 17:55:30,051 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:56:28,624 - finetune_modelnet - INFO - [Training] EPOCH: 120 EpochTime = 58.570 (s) Losses = ['0.0852', '97.3738'] lr = 0.000328 2022-03-21 17:56:38,601 - finetune_modelnet - INFO - [Validation] EPOCH: 120 acc = 90.7617 2022-03-21 17:56:39,236 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:57:38,619 - finetune_modelnet - INFO - [Training] EPOCH: 121 EpochTime = 59.381 (s) Losses = ['0.0873', '96.9361'] lr = 0.000325 2022-03-21 17:57:48,652 - finetune_modelnet - INFO - [Validation] EPOCH: 121 acc = 91.0859 2022-03-21 17:57:49,165 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:58:48,120 - finetune_modelnet - INFO - [Training] EPOCH: 122 EpochTime = 58.954 (s) Losses = ['0.0859', '97.0175'] lr = 0.000323 2022-03-21 17:58:58,135 - finetune_modelnet - INFO - [Validation] EPOCH: 122 acc = 90.6402 2022-03-21 17:58:58,697 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 17:59:57,171 - finetune_modelnet - INFO - [Training] EPOCH: 123 EpochTime = 58.472 (s) Losses = ['0.0870', '97.1498'] lr = 0.000320 2022-03-21 18:00:07,236 - finetune_modelnet - INFO - [Validation] EPOCH: 123 acc = 91.0859 2022-03-21 18:00:07,925 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:01:06,646 - finetune_modelnet - INFO - [Training] EPOCH: 124 EpochTime = 58.721 (s) Losses = ['0.0815', '97.3229'] lr = 0.000318 2022-03-21 18:01:16,741 - finetune_modelnet - INFO - [Validation] EPOCH: 124 acc = 90.5592 2022-03-21 18:01:17,326 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:02:15,913 - finetune_modelnet - INFO - [Training] EPOCH: 125 EpochTime = 58.585 (s) Losses = ['0.0891', '96.9971'] lr = 0.000315 2022-03-21 18:02:25,917 - finetune_modelnet - INFO - [Validation] EPOCH: 125 acc = 91.7747 2022-03-21 18:02:26,500 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:03:25,174 - finetune_modelnet - INFO - [Training] EPOCH: 126 EpochTime = 58.672 (s) Losses = ['0.0812', '97.2211'] lr = 0.000313 2022-03-21 18:03:35,272 - finetune_modelnet - INFO - [Validation] EPOCH: 126 acc = 91.3695 2022-03-21 18:03:35,862 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:04:34,529 - finetune_modelnet - INFO - [Training] EPOCH: 127 EpochTime = 58.666 (s) Losses = ['0.0809', '97.1295'] lr = 0.000310 2022-03-21 18:04:44,620 - finetune_modelnet - INFO - [Validation] EPOCH: 127 acc = 91.4100 2022-03-21 18:04:45,268 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:05:44,618 - finetune_modelnet - INFO - [Training] EPOCH: 128 EpochTime = 59.348 (s) Losses = ['0.0800', '97.2822'] lr = 0.000307 2022-03-21 18:05:54,682 - finetune_modelnet - INFO - [Validation] EPOCH: 128 acc = 91.5721 2022-03-21 18:05:55,315 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:06:54,234 - finetune_modelnet - INFO - [Training] EPOCH: 129 EpochTime = 58.918 (s) Losses = ['0.0798', '97.3941'] lr = 0.000305 2022-03-21 18:07:04,324 - finetune_modelnet - INFO - [Validation] EPOCH: 129 acc = 91.0049 2022-03-21 18:07:04,998 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:08:04,134 - finetune_modelnet - INFO - [Training] EPOCH: 130 EpochTime = 59.135 (s) Losses = ['0.0685', '97.5875'] lr = 0.000302 2022-03-21 18:08:14,200 - finetune_modelnet - INFO - [Validation] EPOCH: 130 acc = 91.8152 2022-03-21 18:08:14,849 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:09:14,271 - finetune_modelnet - INFO - [Training] EPOCH: 131 EpochTime = 59.420 (s) Losses = ['0.0780', '97.4247'] lr = 0.000300 2022-03-21 18:09:24,661 - finetune_modelnet - INFO - [Validation] EPOCH: 131 acc = 91.7747 2022-03-21 18:09:25,245 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:10:24,974 - finetune_modelnet - INFO - [Training] EPOCH: 132 EpochTime = 59.727 (s) Losses = ['0.0698', '97.7300'] lr = 0.000297 2022-03-21 18:10:35,083 - finetune_modelnet - INFO - [Validation] EPOCH: 132 acc = 92.3825 2022-03-21 18:10:35,651 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:11:34,301 - finetune_modelnet - INFO - [Training] EPOCH: 133 EpochTime = 58.648 (s) Losses = ['0.0711', '97.5163'] lr = 0.000295 2022-03-21 18:11:44,307 - finetune_modelnet - INFO - [Validation] EPOCH: 133 acc = 91.6126 2022-03-21 18:11:44,935 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:12:44,857 - finetune_modelnet - INFO - [Training] EPOCH: 134 EpochTime = 59.921 (s) Losses = ['0.0763', '97.4959'] lr = 0.000292 2022-03-21 18:12:55,095 - finetune_modelnet - INFO - [Validation] EPOCH: 134 acc = 92.3015 2022-03-21 18:12:55,752 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:13:55,982 - finetune_modelnet - INFO - [Training] EPOCH: 135 EpochTime = 60.229 (s) Losses = ['0.0753', '97.5468'] lr = 0.000290 2022-03-21 18:14:05,994 - finetune_modelnet - INFO - [Validation] EPOCH: 135 acc = 92.1394 2022-03-21 18:14:06,521 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:15:05,024 - finetune_modelnet - INFO - [Training] EPOCH: 136 EpochTime = 58.502 (s) Losses = ['0.0696', '97.6181'] lr = 0.000287 2022-03-21 18:15:15,124 - finetune_modelnet - INFO - [Validation] EPOCH: 136 acc = 91.6126 2022-03-21 18:15:15,700 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:16:14,780 - finetune_modelnet - INFO - [Training] EPOCH: 137 EpochTime = 59.078 (s) Losses = ['0.0633', '97.8420'] lr = 0.000284 2022-03-21 18:16:24,656 - finetune_modelnet - INFO - [Validation] EPOCH: 137 acc = 91.6126 2022-03-21 18:16:25,263 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:17:24,347 - finetune_modelnet - INFO - [Training] EPOCH: 138 EpochTime = 59.083 (s) Losses = ['0.0629', '97.8318'] lr = 0.000282 2022-03-21 18:17:34,223 - finetune_modelnet - INFO - [Validation] EPOCH: 138 acc = 92.1799 2022-03-21 18:17:34,876 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:18:34,210 - finetune_modelnet - INFO - [Training] EPOCH: 139 EpochTime = 59.332 (s) Losses = ['0.0712', '97.4756'] lr = 0.000279 2022-03-21 18:18:44,164 - finetune_modelnet - INFO - [Validation] EPOCH: 139 acc = 91.3290 2022-03-21 18:18:44,773 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:19:43,718 - finetune_modelnet - INFO - [Training] EPOCH: 140 EpochTime = 58.944 (s) Losses = ['0.0691', '97.6690'] lr = 0.000277 2022-03-21 18:19:53,851 - finetune_modelnet - INFO - [Validation] EPOCH: 140 acc = 91.8152 2022-03-21 18:19:54,508 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:20:53,693 - finetune_modelnet - INFO - [Training] EPOCH: 141 EpochTime = 59.184 (s) Losses = ['0.0750', '97.3941'] lr = 0.000274 2022-03-21 18:21:03,755 - finetune_modelnet - INFO - [Validation] EPOCH: 141 acc = 91.6126 2022-03-21 18:21:04,539 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:22:04,350 - finetune_modelnet - INFO - [Training] EPOCH: 142 EpochTime = 59.809 (s) Losses = ['0.0675', '97.6690'] lr = 0.000271 2022-03-21 18:22:14,452 - finetune_modelnet - INFO - [Validation] EPOCH: 142 acc = 92.2204 2022-03-21 18:22:15,073 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:23:14,315 - finetune_modelnet - INFO - [Training] EPOCH: 143 EpochTime = 59.241 (s) Losses = ['0.0596', '97.9845'] lr = 0.000269 2022-03-21 18:23:24,650 - finetune_modelnet - INFO - [Validation] EPOCH: 143 acc = 91.6532 2022-03-21 18:23:25,279 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:24:25,570 - finetune_modelnet - INFO - [Training] EPOCH: 144 EpochTime = 60.290 (s) Losses = ['0.0582', '97.8726'] lr = 0.000266 2022-03-21 18:24:35,709 - finetune_modelnet - INFO - [Validation] EPOCH: 144 acc = 91.2885 2022-03-21 18:24:36,350 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:25:36,508 - finetune_modelnet - INFO - [Training] EPOCH: 145 EpochTime = 60.156 (s) Losses = ['0.0640', '97.7199'] lr = 0.000264 2022-03-21 18:25:46,875 - finetune_modelnet - INFO - [Validation] EPOCH: 145 acc = 90.8428 2022-03-21 18:25:47,527 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:26:47,323 - finetune_modelnet - INFO - [Training] EPOCH: 146 EpochTime = 59.794 (s) Losses = ['0.0643', '97.7911'] lr = 0.000261 2022-03-21 18:26:57,685 - finetune_modelnet - INFO - [Validation] EPOCH: 146 acc = 91.8963 2022-03-21 18:26:58,304 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:27:58,950 - finetune_modelnet - INFO - [Training] EPOCH: 147 EpochTime = 60.645 (s) Losses = ['0.0587', '97.8318'] lr = 0.000258 2022-03-21 18:28:09,270 - finetune_modelnet - INFO - [Validation] EPOCH: 147 acc = 92.7877 2022-03-21 18:28:10,016 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-best.pth 2022-03-21 18:28:10,016 - finetune_modelnet - INFO - -------------------------------------------------------------------------------------------- 2022-03-21 18:28:10,624 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:29:11,051 - finetune_modelnet - INFO - [Training] EPOCH: 148 EpochTime = 60.426 (s) Losses = ['0.0637', '97.7199'] lr = 0.000256 2022-03-21 18:29:21,202 - finetune_modelnet - INFO - [Validation] EPOCH: 148 acc = 92.6661 2022-03-21 18:29:21,842 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:30:22,291 - finetune_modelnet - INFO - [Training] EPOCH: 149 EpochTime = 60.447 (s) Losses = ['0.0612', '97.9235'] lr = 0.000253 2022-03-21 18:30:32,428 - finetune_modelnet - INFO - [Validation] EPOCH: 149 acc = 92.3420 2022-03-21 18:30:33,064 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:31:32,604 - finetune_modelnet - INFO - [Training] EPOCH: 150 EpochTime = 59.538 (s) Losses = ['0.0732', '97.5774'] lr = 0.000251 2022-03-21 18:31:42,824 - finetune_modelnet - INFO - [Validation] EPOCH: 150 acc = 92.1799 2022-03-21 18:31:43,531 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:32:43,872 - finetune_modelnet - INFO - [Training] EPOCH: 151 EpochTime = 60.338 (s) Losses = ['0.0598', '97.9031'] lr = 0.000248 2022-03-21 18:32:54,136 - finetune_modelnet - INFO - [Validation] EPOCH: 151 acc = 91.8558 2022-03-21 18:32:54,787 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:33:54,766 - finetune_modelnet - INFO - [Training] EPOCH: 152 EpochTime = 59.977 (s) Losses = ['0.0570', '98.0252'] lr = 0.000245 2022-03-21 18:34:04,869 - finetune_modelnet - INFO - [Validation] EPOCH: 152 acc = 92.6661 2022-03-21 18:34:05,519 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:35:05,040 - finetune_modelnet - INFO - [Training] EPOCH: 153 EpochTime = 59.519 (s) Losses = ['0.0637', '97.7708'] lr = 0.000243 2022-03-21 18:35:15,189 - finetune_modelnet - INFO - [Validation] EPOCH: 153 acc = 91.7747 2022-03-21 18:35:15,837 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:36:15,298 - finetune_modelnet - INFO - [Training] EPOCH: 154 EpochTime = 59.460 (s) Losses = ['0.0568', '98.1169'] lr = 0.000240 2022-03-21 18:36:25,398 - finetune_modelnet - INFO - [Validation] EPOCH: 154 acc = 92.0178 2022-03-21 18:36:25,999 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:37:24,790 - finetune_modelnet - INFO - [Training] EPOCH: 155 EpochTime = 58.789 (s) Losses = ['0.0578', '98.1779'] lr = 0.000237 2022-03-21 18:37:34,959 - finetune_modelnet - INFO - [Validation] EPOCH: 155 acc = 92.0178 2022-03-21 18:37:35,622 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:38:35,331 - finetune_modelnet - INFO - [Training] EPOCH: 156 EpochTime = 59.708 (s) Losses = ['0.0615', '97.8726'] lr = 0.000235 2022-03-21 18:38:45,537 - finetune_modelnet - INFO - [Validation] EPOCH: 156 acc = 92.3015 2022-03-21 18:38:46,140 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:39:45,065 - finetune_modelnet - INFO - [Training] EPOCH: 157 EpochTime = 58.924 (s) Losses = ['0.0545', '98.0252'] lr = 0.000232 2022-03-21 18:39:55,106 - finetune_modelnet - INFO - [Validation] EPOCH: 157 acc = 92.1394 2022-03-21 18:39:55,711 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:40:55,115 - finetune_modelnet - INFO - [Training] EPOCH: 158 EpochTime = 59.403 (s) Losses = ['0.0506', '98.2186'] lr = 0.000230 2022-03-21 18:41:05,190 - finetune_modelnet - INFO - [Validation] EPOCH: 158 acc = 92.3015 2022-03-21 18:41:05,777 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:42:04,920 - finetune_modelnet - INFO - [Training] EPOCH: 159 EpochTime = 59.142 (s) Losses = ['0.0520', '98.1576'] lr = 0.000227 2022-03-21 18:42:15,029 - finetune_modelnet - INFO - [Validation] EPOCH: 159 acc = 91.6532 2022-03-21 18:42:15,618 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:43:14,585 - finetune_modelnet - INFO - [Training] EPOCH: 160 EpochTime = 58.966 (s) Losses = ['0.0514', '98.1372'] lr = 0.000224 2022-03-21 18:43:24,699 - finetune_modelnet - INFO - [Validation] EPOCH: 160 acc = 91.6126 2022-03-21 18:43:25,303 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:44:24,322 - finetune_modelnet - INFO - [Training] EPOCH: 161 EpochTime = 59.017 (s) Losses = ['0.0504', '98.2288'] lr = 0.000222 2022-03-21 18:44:34,435 - finetune_modelnet - INFO - [Validation] EPOCH: 161 acc = 91.4506 2022-03-21 18:44:35,016 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:45:33,784 - finetune_modelnet - INFO - [Training] EPOCH: 162 EpochTime = 58.767 (s) Losses = ['0.0477', '98.3815'] lr = 0.000219 2022-03-21 18:45:43,935 - finetune_modelnet - INFO - [Validation] EPOCH: 162 acc = 91.1669 2022-03-21 18:45:44,502 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:46:44,386 - finetune_modelnet - INFO - [Training] EPOCH: 163 EpochTime = 59.883 (s) Losses = ['0.0532', '98.0252'] lr = 0.000217 2022-03-21 18:46:54,524 - finetune_modelnet - INFO - [Validation] EPOCH: 163 acc = 91.1264 2022-03-21 18:46:55,128 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:47:54,588 - finetune_modelnet - INFO - [Training] EPOCH: 164 EpochTime = 59.458 (s) Losses = ['0.0508', '98.1779'] lr = 0.000214 2022-03-21 18:48:04,688 - finetune_modelnet - INFO - [Validation] EPOCH: 164 acc = 91.8558 2022-03-21 18:48:05,282 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:49:04,519 - finetune_modelnet - INFO - [Training] EPOCH: 165 EpochTime = 59.236 (s) Losses = ['0.0469', '98.3612'] lr = 0.000211 2022-03-21 18:49:14,700 - finetune_modelnet - INFO - [Validation] EPOCH: 165 acc = 92.4230 2022-03-21 18:49:15,292 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:50:14,307 - finetune_modelnet - INFO - [Training] EPOCH: 166 EpochTime = 59.014 (s) Losses = ['0.0452', '98.3103'] lr = 0.000209 2022-03-21 18:50:24,296 - finetune_modelnet - INFO - [Validation] EPOCH: 166 acc = 92.0583 2022-03-21 18:50:24,837 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:51:23,925 - finetune_modelnet - INFO - [Training] EPOCH: 167 EpochTime = 59.087 (s) Losses = ['0.0464', '98.3408'] lr = 0.000206 2022-03-21 18:51:34,039 - finetune_modelnet - INFO - [Validation] EPOCH: 167 acc = 92.3420 2022-03-21 18:51:34,648 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:52:33,302 - finetune_modelnet - INFO - [Training] EPOCH: 168 EpochTime = 58.653 (s) Losses = ['0.0521', '97.9947'] lr = 0.000204 2022-03-21 18:52:43,478 - finetune_modelnet - INFO - [Validation] EPOCH: 168 acc = 91.7342 2022-03-21 18:52:44,070 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:53:43,282 - finetune_modelnet - INFO - [Training] EPOCH: 169 EpochTime = 59.210 (s) Losses = ['0.0483', '98.3510'] lr = 0.000201 2022-03-21 18:53:53,414 - finetune_modelnet - INFO - [Validation] EPOCH: 169 acc = 92.0989 2022-03-21 18:53:54,029 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:54:53,227 - finetune_modelnet - INFO - [Training] EPOCH: 170 EpochTime = 59.197 (s) Losses = ['0.0410', '98.4426'] lr = 0.000199 2022-03-21 18:55:03,360 - finetune_modelnet - INFO - [Validation] EPOCH: 170 acc = 92.1394 2022-03-21 18:55:03,985 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:56:04,403 - finetune_modelnet - INFO - [Training] EPOCH: 171 EpochTime = 60.416 (s) Losses = ['0.0395', '98.5138'] lr = 0.000196 2022-03-21 18:56:14,466 - finetune_modelnet - INFO - [Validation] EPOCH: 171 acc = 92.3015 2022-03-21 18:56:15,089 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:57:14,831 - finetune_modelnet - INFO - [Training] EPOCH: 172 EpochTime = 59.741 (s) Losses = ['0.0428', '98.4324'] lr = 0.000194 2022-03-21 18:57:24,934 - finetune_modelnet - INFO - [Validation] EPOCH: 172 acc = 91.7342 2022-03-21 18:57:25,557 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:58:24,328 - finetune_modelnet - INFO - [Training] EPOCH: 173 EpochTime = 58.770 (s) Losses = ['0.0534', '98.1983'] lr = 0.000191 2022-03-21 18:58:34,430 - finetune_modelnet - INFO - [Validation] EPOCH: 173 acc = 90.9238 2022-03-21 18:58:35,002 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 18:59:33,927 - finetune_modelnet - INFO - [Training] EPOCH: 174 EpochTime = 58.923 (s) Losses = ['0.0508', '98.2390'] lr = 0.000188 2022-03-21 18:59:44,018 - finetune_modelnet - INFO - [Validation] EPOCH: 174 acc = 92.2609 2022-03-21 18:59:44,600 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:00:44,202 - finetune_modelnet - INFO - [Training] EPOCH: 175 EpochTime = 59.601 (s) Losses = ['0.0383', '98.5444'] lr = 0.000186 2022-03-21 19:00:54,299 - finetune_modelnet - INFO - [Validation] EPOCH: 175 acc = 91.9773 2022-03-21 19:00:54,896 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:01:54,001 - finetune_modelnet - INFO - [Training] EPOCH: 176 EpochTime = 59.104 (s) Losses = ['0.0374', '98.7072'] lr = 0.000183 2022-03-21 19:02:03,986 - finetune_modelnet - INFO - [Validation] EPOCH: 176 acc = 91.5316 2022-03-21 19:02:04,586 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:03:03,573 - finetune_modelnet - INFO - [Training] EPOCH: 177 EpochTime = 58.987 (s) Losses = ['0.0360', '98.5953'] lr = 0.000181 2022-03-21 19:03:13,627 - finetune_modelnet - INFO - [Validation] EPOCH: 177 acc = 91.6532 2022-03-21 19:03:14,124 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:04:13,600 - finetune_modelnet - INFO - [Training] EPOCH: 178 EpochTime = 59.475 (s) Losses = ['0.0412', '98.5240'] lr = 0.000178 2022-03-21 19:04:23,739 - finetune_modelnet - INFO - [Validation] EPOCH: 178 acc = 91.5721 2022-03-21 19:04:24,338 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:05:23,297 - finetune_modelnet - INFO - [Training] EPOCH: 179 EpochTime = 58.958 (s) Losses = ['0.0441', '98.6971'] lr = 0.000176 2022-03-21 19:05:33,419 - finetune_modelnet - INFO - [Validation] EPOCH: 179 acc = 92.1394 2022-03-21 19:05:33,992 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:06:33,800 - finetune_modelnet - INFO - [Training] EPOCH: 180 EpochTime = 59.806 (s) Losses = ['0.0374', '98.6971'] lr = 0.000173 2022-03-21 19:06:43,849 - finetune_modelnet - INFO - [Validation] EPOCH: 180 acc = 92.1394 2022-03-21 19:06:44,458 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:07:43,699 - finetune_modelnet - INFO - [Training] EPOCH: 181 EpochTime = 59.239 (s) Losses = ['0.0394', '98.5851'] lr = 0.000171 2022-03-21 19:07:53,803 - finetune_modelnet - INFO - [Validation] EPOCH: 181 acc = 92.3420 2022-03-21 19:07:54,395 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:08:53,144 - finetune_modelnet - INFO - [Training] EPOCH: 182 EpochTime = 58.747 (s) Losses = ['0.0381', '98.7378'] lr = 0.000168 2022-03-21 19:09:03,199 - finetune_modelnet - INFO - [Validation] EPOCH: 182 acc = 91.9773 2022-03-21 19:09:03,802 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:10:02,342 - finetune_modelnet - INFO - [Training] EPOCH: 183 EpochTime = 58.539 (s) Losses = ['0.0380', '98.5647'] lr = 0.000166 2022-03-21 19:10:12,285 - finetune_modelnet - INFO - [Validation] EPOCH: 183 acc = 92.1394 2022-03-21 19:10:12,884 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:11:11,967 - finetune_modelnet - INFO - [Training] EPOCH: 184 EpochTime = 59.081 (s) Losses = ['0.0380', '98.5851'] lr = 0.000164 2022-03-21 19:11:21,979 - finetune_modelnet - INFO - [Validation] EPOCH: 184 acc = 91.3290 2022-03-21 19:11:22,635 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:12:21,773 - finetune_modelnet - INFO - [Training] EPOCH: 185 EpochTime = 59.137 (s) Losses = ['0.0344', '98.7174'] lr = 0.000161 2022-03-21 19:12:31,784 - finetune_modelnet - INFO - [Validation] EPOCH: 185 acc = 92.0178 2022-03-21 19:12:32,451 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:13:31,846 - finetune_modelnet - INFO - [Training] EPOCH: 186 EpochTime = 59.393 (s) Losses = ['0.0325', '98.7378'] lr = 0.000159 2022-03-21 19:13:41,799 - finetune_modelnet - INFO - [Validation] EPOCH: 186 acc = 91.5316 2022-03-21 19:13:42,367 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:14:41,204 - finetune_modelnet - INFO - [Training] EPOCH: 187 EpochTime = 58.835 (s) Losses = ['0.0333', '98.7887'] lr = 0.000156 2022-03-21 19:14:51,219 - finetune_modelnet - INFO - [Validation] EPOCH: 187 acc = 91.4911 2022-03-21 19:14:51,724 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:15:50,442 - finetune_modelnet - INFO - [Training] EPOCH: 188 EpochTime = 58.717 (s) Losses = ['0.0317', '98.7581'] lr = 0.000154 2022-03-21 19:16:00,390 - finetune_modelnet - INFO - [Validation] EPOCH: 188 acc = 91.6937 2022-03-21 19:16:00,970 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:16:59,626 - finetune_modelnet - INFO - [Training] EPOCH: 189 EpochTime = 58.654 (s) Losses = ['0.0391', '98.5444'] lr = 0.000151 2022-03-21 19:17:09,676 - finetune_modelnet - INFO - [Validation] EPOCH: 189 acc = 90.6807 2022-03-21 19:17:10,242 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:18:09,262 - finetune_modelnet - INFO - [Training] EPOCH: 190 EpochTime = 59.018 (s) Losses = ['0.0412', '98.5342'] lr = 0.000149 2022-03-21 19:18:19,313 - finetune_modelnet - INFO - [Validation] EPOCH: 190 acc = 91.8152 2022-03-21 19:18:19,827 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:19:18,784 - finetune_modelnet - INFO - [Training] EPOCH: 191 EpochTime = 58.956 (s) Losses = ['0.0378', '98.5851'] lr = 0.000147 2022-03-21 19:19:28,759 - finetune_modelnet - INFO - [Validation] EPOCH: 191 acc = 91.8558 2022-03-21 19:19:29,285 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:20:29,302 - finetune_modelnet - INFO - [Training] EPOCH: 192 EpochTime = 60.015 (s) Losses = ['0.0394', '98.6665'] lr = 0.000144 2022-03-21 19:20:39,623 - finetune_modelnet - INFO - [Validation] EPOCH: 192 acc = 92.5851 2022-03-21 19:20:40,245 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:21:41,284 - finetune_modelnet - INFO - [Training] EPOCH: 193 EpochTime = 61.037 (s) Losses = ['0.0293', '98.7887'] lr = 0.000142 2022-03-21 19:21:51,426 - finetune_modelnet - INFO - [Validation] EPOCH: 193 acc = 92.2609 2022-03-21 19:21:52,044 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:22:52,949 - finetune_modelnet - INFO - [Training] EPOCH: 194 EpochTime = 60.903 (s) Losses = ['0.0293', '98.8803'] lr = 0.000140 2022-03-21 19:23:03,088 - finetune_modelnet - INFO - [Validation] EPOCH: 194 acc = 92.5851 2022-03-21 19:23:03,708 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:24:04,100 - finetune_modelnet - INFO - [Training] EPOCH: 195 EpochTime = 60.390 (s) Losses = ['0.0348', '98.7276'] lr = 0.000137 2022-03-21 19:24:14,215 - finetune_modelnet - INFO - [Validation] EPOCH: 195 acc = 92.0178 2022-03-21 19:24:14,843 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:25:16,436 - finetune_modelnet - INFO - [Training] EPOCH: 196 EpochTime = 61.591 (s) Losses = ['0.0299', '98.6564'] lr = 0.000135 2022-03-21 19:25:26,596 - finetune_modelnet - INFO - [Validation] EPOCH: 196 acc = 92.0178 2022-03-21 19:25:27,254 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:26:27,710 - finetune_modelnet - INFO - [Training] EPOCH: 197 EpochTime = 60.455 (s) Losses = ['0.0263', '98.9007'] lr = 0.000133 2022-03-21 19:26:37,728 - finetune_modelnet - INFO - [Validation] EPOCH: 197 acc = 92.2609 2022-03-21 19:26:38,291 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:27:39,895 - finetune_modelnet - INFO - [Training] EPOCH: 198 EpochTime = 61.603 (s) Losses = ['0.0305', '98.7581'] lr = 0.000130 2022-03-21 19:27:49,932 - finetune_modelnet - INFO - [Validation] EPOCH: 198 acc = 91.9773 2022-03-21 19:27:50,721 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:28:51,643 - finetune_modelnet - INFO - [Training] EPOCH: 199 EpochTime = 60.919 (s) Losses = ['0.0250', '99.0432'] lr = 0.000128 2022-03-21 19:29:01,656 - finetune_modelnet - INFO - [Validation] EPOCH: 199 acc = 92.3825 2022-03-21 19:29:02,321 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:30:03,155 - finetune_modelnet - INFO - [Training] EPOCH: 200 EpochTime = 60.833 (s) Losses = ['0.0314', '98.8599'] lr = 0.000126 2022-03-21 19:30:13,279 - finetune_modelnet - INFO - [Validation] EPOCH: 200 acc = 92.3015 2022-03-21 19:30:13,848 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:31:14,686 - finetune_modelnet - INFO - [Training] EPOCH: 201 EpochTime = 60.836 (s) Losses = ['0.0248', '99.0330'] lr = 0.000123 2022-03-21 19:31:24,864 - finetune_modelnet - INFO - [Validation] EPOCH: 201 acc = 91.6126 2022-03-21 19:31:25,575 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:32:27,363 - finetune_modelnet - INFO - [Training] EPOCH: 202 EpochTime = 61.786 (s) Losses = ['0.0326', '98.6564'] lr = 0.000121 2022-03-21 19:32:37,436 - finetune_modelnet - INFO - [Validation] EPOCH: 202 acc = 92.2609 2022-03-21 19:32:38,064 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:33:39,075 - finetune_modelnet - INFO - [Training] EPOCH: 203 EpochTime = 61.010 (s) Losses = ['0.0301', '98.8294'] lr = 0.000119 2022-03-21 19:33:49,332 - finetune_modelnet - INFO - [Validation] EPOCH: 203 acc = 92.4635 2022-03-21 19:33:49,963 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:34:50,436 - finetune_modelnet - INFO - [Training] EPOCH: 204 EpochTime = 60.471 (s) Losses = ['0.0305', '98.8498'] lr = 0.000117 2022-03-21 19:35:00,613 - finetune_modelnet - INFO - [Validation] EPOCH: 204 acc = 91.6937 2022-03-21 19:35:01,239 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:36:02,589 - finetune_modelnet - INFO - [Training] EPOCH: 205 EpochTime = 61.349 (s) Losses = ['0.0287', '98.9210'] lr = 0.000115 2022-03-21 19:36:12,711 - finetune_modelnet - INFO - [Validation] EPOCH: 205 acc = 92.3015 2022-03-21 19:36:13,383 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:37:14,190 - finetune_modelnet - INFO - [Training] EPOCH: 206 EpochTime = 60.806 (s) Losses = ['0.0251', '98.9719'] lr = 0.000112 2022-03-21 19:37:24,300 - finetune_modelnet - INFO - [Validation] EPOCH: 206 acc = 91.8152 2022-03-21 19:37:24,912 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:38:25,793 - finetune_modelnet - INFO - [Training] EPOCH: 207 EpochTime = 60.880 (s) Losses = ['0.0305', '98.9312'] lr = 0.000110 2022-03-21 19:38:35,806 - finetune_modelnet - INFO - [Validation] EPOCH: 207 acc = 91.8152 2022-03-21 19:38:36,417 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:39:38,147 - finetune_modelnet - INFO - [Training] EPOCH: 208 EpochTime = 61.728 (s) Losses = ['0.0287', '98.8803'] lr = 0.000108 2022-03-21 19:39:48,254 - finetune_modelnet - INFO - [Validation] EPOCH: 208 acc = 92.2609 2022-03-21 19:39:48,881 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:40:49,506 - finetune_modelnet - INFO - [Training] EPOCH: 209 EpochTime = 60.623 (s) Losses = ['0.0232', '99.0432'] lr = 0.000106 2022-03-21 19:40:59,624 - finetune_modelnet - INFO - [Validation] EPOCH: 209 acc = 92.2609 2022-03-21 19:41:00,217 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:42:01,719 - finetune_modelnet - INFO - [Training] EPOCH: 210 EpochTime = 61.500 (s) Losses = ['0.0192', '99.1857'] lr = 0.000104 2022-03-21 19:42:11,940 - finetune_modelnet - INFO - [Validation] EPOCH: 210 acc = 92.6256 2022-03-21 19:42:12,596 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:43:13,743 - finetune_modelnet - INFO - [Training] EPOCH: 211 EpochTime = 61.146 (s) Losses = ['0.0259', '98.9821'] lr = 0.000102 2022-03-21 19:43:24,009 - finetune_modelnet - INFO - [Validation] EPOCH: 211 acc = 92.1799 2022-03-21 19:43:24,780 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:44:26,378 - finetune_modelnet - INFO - [Training] EPOCH: 212 EpochTime = 61.595 (s) Losses = ['0.0263', '98.8803'] lr = 0.000100 2022-03-21 19:44:36,628 - finetune_modelnet - INFO - [Validation] EPOCH: 212 acc = 92.2204 2022-03-21 19:44:37,273 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:45:38,011 - finetune_modelnet - INFO - [Training] EPOCH: 213 EpochTime = 60.736 (s) Losses = ['0.0251', '98.9108'] lr = 0.000098 2022-03-21 19:45:48,176 - finetune_modelnet - INFO - [Validation] EPOCH: 213 acc = 92.6661 2022-03-21 19:45:48,870 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:46:49,698 - finetune_modelnet - INFO - [Training] EPOCH: 214 EpochTime = 60.826 (s) Losses = ['0.0190', '99.1551'] lr = 0.000096 2022-03-21 19:46:59,756 - finetune_modelnet - INFO - [Validation] EPOCH: 214 acc = 91.9773 2022-03-21 19:47:00,357 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:48:01,925 - finetune_modelnet - INFO - [Training] EPOCH: 215 EpochTime = 61.566 (s) Losses = ['0.0207', '99.0228'] lr = 0.000093 2022-03-21 19:48:12,167 - finetune_modelnet - INFO - [Validation] EPOCH: 215 acc = 91.7342 2022-03-21 19:48:12,830 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:49:13,355 - finetune_modelnet - INFO - [Training] EPOCH: 216 EpochTime = 60.523 (s) Losses = ['0.0241', '99.0432'] lr = 0.000091 2022-03-21 19:49:23,530 - finetune_modelnet - INFO - [Validation] EPOCH: 216 acc = 91.8152 2022-03-21 19:49:24,191 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:50:25,643 - finetune_modelnet - INFO - [Training] EPOCH: 217 EpochTime = 61.451 (s) Losses = ['0.0225', '99.1042'] lr = 0.000089 2022-03-21 19:50:35,878 - finetune_modelnet - INFO - [Validation] EPOCH: 217 acc = 91.6532 2022-03-21 19:50:36,539 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:51:37,199 - finetune_modelnet - INFO - [Training] EPOCH: 218 EpochTime = 60.658 (s) Losses = ['0.0232', '99.0839'] lr = 0.000087 2022-03-21 19:51:47,831 - finetune_modelnet - INFO - [Validation] EPOCH: 218 acc = 92.0989 2022-03-21 19:51:48,485 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:52:49,903 - finetune_modelnet - INFO - [Training] EPOCH: 219 EpochTime = 61.417 (s) Losses = ['0.0183', '99.1450'] lr = 0.000086 2022-03-21 19:53:00,011 - finetune_modelnet - INFO - [Validation] EPOCH: 219 acc = 91.8558 2022-03-21 19:53:00,659 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:54:01,711 - finetune_modelnet - INFO - [Training] EPOCH: 220 EpochTime = 61.050 (s) Losses = ['0.0209', '99.0737'] lr = 0.000084 2022-03-21 19:54:12,128 - finetune_modelnet - INFO - [Validation] EPOCH: 220 acc = 91.8963 2022-03-21 19:54:12,759 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:55:14,698 - finetune_modelnet - INFO - [Training] EPOCH: 221 EpochTime = 61.937 (s) Losses = ['0.0222', '99.1348'] lr = 0.000082 2022-03-21 19:55:24,901 - finetune_modelnet - INFO - [Validation] EPOCH: 221 acc = 91.7747 2022-03-21 19:55:25,562 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:56:27,729 - finetune_modelnet - INFO - [Training] EPOCH: 222 EpochTime = 62.166 (s) Losses = ['0.0217', '99.1246'] lr = 0.000080 2022-03-21 19:56:37,901 - finetune_modelnet - INFO - [Validation] EPOCH: 222 acc = 91.6126 2022-03-21 19:56:38,539 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:57:39,146 - finetune_modelnet - INFO - [Training] EPOCH: 223 EpochTime = 60.606 (s) Losses = ['0.0200', '99.2060'] lr = 0.000078 2022-03-21 19:57:49,219 - finetune_modelnet - INFO - [Validation] EPOCH: 223 acc = 92.0178 2022-03-21 19:57:49,779 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 19:58:51,037 - finetune_modelnet - INFO - [Training] EPOCH: 224 EpochTime = 61.257 (s) Losses = ['0.0224', '99.0737'] lr = 0.000076 2022-03-21 19:59:01,705 - finetune_modelnet - INFO - [Validation] EPOCH: 224 acc = 92.0178 2022-03-21 19:59:02,452 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:00:03,629 - finetune_modelnet - INFO - [Training] EPOCH: 225 EpochTime = 61.175 (s) Losses = ['0.0174', '99.2875'] lr = 0.000074 2022-03-21 20:00:13,821 - finetune_modelnet - INFO - [Validation] EPOCH: 225 acc = 92.1394 2022-03-21 20:00:14,498 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:01:15,293 - finetune_modelnet - INFO - [Training] EPOCH: 226 EpochTime = 60.793 (s) Losses = ['0.0201', '99.1653'] lr = 0.000072 2022-03-21 20:01:25,438 - finetune_modelnet - INFO - [Validation] EPOCH: 226 acc = 91.4911 2022-03-21 20:01:26,084 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:02:27,789 - finetune_modelnet - INFO - [Training] EPOCH: 227 EpochTime = 61.703 (s) Losses = ['0.0179', '99.1551'] lr = 0.000070 2022-03-21 20:02:37,897 - finetune_modelnet - INFO - [Validation] EPOCH: 227 acc = 91.7747 2022-03-21 20:02:38,536 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:03:40,694 - finetune_modelnet - INFO - [Training] EPOCH: 228 EpochTime = 62.157 (s) Losses = ['0.0193', '99.2060'] lr = 0.000069 2022-03-21 20:03:50,846 - finetune_modelnet - INFO - [Validation] EPOCH: 228 acc = 92.0178 2022-03-21 20:03:51,553 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:04:54,539 - finetune_modelnet - INFO - [Training] EPOCH: 229 EpochTime = 62.984 (s) Losses = ['0.0153', '99.3078'] lr = 0.000067 2022-03-21 20:05:04,756 - finetune_modelnet - INFO - [Validation] EPOCH: 229 acc = 92.1799 2022-03-21 20:05:05,532 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:06:08,916 - finetune_modelnet - INFO - [Training] EPOCH: 230 EpochTime = 63.382 (s) Losses = ['0.0162', '99.2569'] lr = 0.000065 2022-03-21 20:06:19,776 - finetune_modelnet - INFO - [Validation] EPOCH: 230 acc = 91.2075 2022-03-21 20:06:20,433 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:07:23,811 - finetune_modelnet - INFO - [Training] EPOCH: 231 EpochTime = 63.376 (s) Losses = ['0.0214', '99.1246'] lr = 0.000063 2022-03-21 20:07:34,539 - finetune_modelnet - INFO - [Validation] EPOCH: 231 acc = 91.1669 2022-03-21 20:07:35,379 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:08:38,427 - finetune_modelnet - INFO - [Training] EPOCH: 232 EpochTime = 63.046 (s) Losses = ['0.0178', '99.2162'] lr = 0.000062 2022-03-21 20:08:49,046 - finetune_modelnet - INFO - [Validation] EPOCH: 232 acc = 91.6937 2022-03-21 20:08:49,915 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:09:52,982 - finetune_modelnet - INFO - [Training] EPOCH: 233 EpochTime = 63.064 (s) Losses = ['0.0207', '99.1653'] lr = 0.000060 2022-03-21 20:10:03,733 - finetune_modelnet - INFO - [Validation] EPOCH: 233 acc = 91.8558 2022-03-21 20:10:04,529 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:11:07,244 - finetune_modelnet - INFO - [Training] EPOCH: 234 EpochTime = 62.713 (s) Losses = ['0.0225', '99.0533'] lr = 0.000058 2022-03-21 20:11:17,608 - finetune_modelnet - INFO - [Validation] EPOCH: 234 acc = 91.7342 2022-03-21 20:11:18,317 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:12:21,625 - finetune_modelnet - INFO - [Training] EPOCH: 235 EpochTime = 63.306 (s) Losses = ['0.0168', '99.2773'] lr = 0.000057 2022-03-21 20:12:31,731 - finetune_modelnet - INFO - [Validation] EPOCH: 235 acc = 92.0989 2022-03-21 20:12:32,552 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:13:35,607 - finetune_modelnet - INFO - [Training] EPOCH: 236 EpochTime = 63.054 (s) Losses = ['0.0160', '99.3587'] lr = 0.000055 2022-03-21 20:13:46,282 - finetune_modelnet - INFO - [Validation] EPOCH: 236 acc = 92.4635 2022-03-21 20:13:47,115 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:14:51,472 - finetune_modelnet - INFO - [Training] EPOCH: 237 EpochTime = 64.355 (s) Losses = ['0.0149', '99.3180'] lr = 0.000053 2022-03-21 20:15:02,154 - finetune_modelnet - INFO - [Validation] EPOCH: 237 acc = 92.0583 2022-03-21 20:15:02,818 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:16:04,969 - finetune_modelnet - INFO - [Training] EPOCH: 238 EpochTime = 62.148 (s) Losses = ['0.0139', '99.3893'] lr = 0.000052 2022-03-21 20:16:15,284 - finetune_modelnet - INFO - [Validation] EPOCH: 238 acc = 91.9773 2022-03-21 20:16:16,032 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:17:18,806 - finetune_modelnet - INFO - [Training] EPOCH: 239 EpochTime = 62.771 (s) Losses = ['0.0165', '99.2162'] lr = 0.000050 2022-03-21 20:17:29,042 - finetune_modelnet - INFO - [Validation] EPOCH: 239 acc = 91.9773 2022-03-21 20:17:29,816 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:18:33,309 - finetune_modelnet - INFO - [Training] EPOCH: 240 EpochTime = 63.490 (s) Losses = ['0.0129', '99.3893'] lr = 0.000049 2022-03-21 20:18:44,033 - finetune_modelnet - INFO - [Validation] EPOCH: 240 acc = 92.1394 2022-03-21 20:18:44,753 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:19:47,265 - finetune_modelnet - INFO - [Training] EPOCH: 241 EpochTime = 62.511 (s) Losses = ['0.0138', '99.2976'] lr = 0.000047 2022-03-21 20:19:57,869 - finetune_modelnet - INFO - [Validation] EPOCH: 241 acc = 91.6126 2022-03-21 20:19:58,664 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:21:01,169 - finetune_modelnet - INFO - [Training] EPOCH: 242 EpochTime = 62.503 (s) Losses = ['0.0145', '99.3180'] lr = 0.000046 2022-03-21 20:21:11,338 - finetune_modelnet - INFO - [Validation] EPOCH: 242 acc = 91.8963 2022-03-21 20:21:12,001 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:22:16,037 - finetune_modelnet - INFO - [Training] EPOCH: 243 EpochTime = 64.034 (s) Losses = ['0.0130', '99.2671'] lr = 0.000044 2022-03-21 20:22:26,221 - finetune_modelnet - INFO - [Validation] EPOCH: 243 acc = 91.9773 2022-03-21 20:22:26,892 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:23:30,149 - finetune_modelnet - INFO - [Training] EPOCH: 244 EpochTime = 63.255 (s) Losses = ['0.0142', '99.2875'] lr = 0.000043 2022-03-21 20:23:40,410 - finetune_modelnet - INFO - [Validation] EPOCH: 244 acc = 91.7342 2022-03-21 20:23:41,094 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:24:43,915 - finetune_modelnet - INFO - [Training] EPOCH: 245 EpochTime = 62.819 (s) Losses = ['0.0145', '99.3282'] lr = 0.000041 2022-03-21 20:24:54,379 - finetune_modelnet - INFO - [Validation] EPOCH: 245 acc = 92.0989 2022-03-21 20:24:55,205 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:25:58,419 - finetune_modelnet - INFO - [Training] EPOCH: 246 EpochTime = 63.212 (s) Losses = ['0.0148', '99.2875'] lr = 0.000040 2022-03-21 20:26:09,084 - finetune_modelnet - INFO - [Validation] EPOCH: 246 acc = 92.0583 2022-03-21 20:26:09,776 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:27:13,132 - finetune_modelnet - INFO - [Training] EPOCH: 247 EpochTime = 63.354 (s) Losses = ['0.0145', '99.1958'] lr = 0.000038 2022-03-21 20:27:23,943 - finetune_modelnet - INFO - [Validation] EPOCH: 247 acc = 91.9773 2022-03-21 20:27:24,605 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:28:27,584 - finetune_modelnet - INFO - [Training] EPOCH: 248 EpochTime = 62.977 (s) Losses = ['0.0151', '99.2875'] lr = 0.000037 2022-03-21 20:28:38,281 - finetune_modelnet - INFO - [Validation] EPOCH: 248 acc = 91.8963 2022-03-21 20:28:39,050 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:29:41,984 - finetune_modelnet - INFO - [Training] EPOCH: 249 EpochTime = 62.930 (s) Losses = ['0.0151', '99.2773'] lr = 0.000036 2022-03-21 20:29:52,073 - finetune_modelnet - INFO - [Validation] EPOCH: 249 acc = 92.0178 2022-03-21 20:29:52,811 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:30:53,053 - finetune_modelnet - INFO - [Training] EPOCH: 250 EpochTime = 60.240 (s) Losses = ['0.0141', '99.2976'] lr = 0.000034 2022-03-21 20:31:03,138 - finetune_modelnet - INFO - [Validation] EPOCH: 250 acc = 92.0178 2022-03-21 20:31:03,793 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:32:04,092 - finetune_modelnet - INFO - [Training] EPOCH: 251 EpochTime = 60.298 (s) Losses = ['0.0126', '99.2976'] lr = 0.000033 2022-03-21 20:32:14,225 - finetune_modelnet - INFO - [Validation] EPOCH: 251 acc = 92.0583 2022-03-21 20:32:14,873 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:33:15,556 - finetune_modelnet - INFO - [Training] EPOCH: 252 EpochTime = 60.681 (s) Losses = ['0.0166', '99.2264'] lr = 0.000032 2022-03-21 20:33:25,656 - finetune_modelnet - INFO - [Validation] EPOCH: 252 acc = 92.0583 2022-03-21 20:33:26,328 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:34:26,736 - finetune_modelnet - INFO - [Training] EPOCH: 253 EpochTime = 60.406 (s) Losses = ['0.0144', '99.2162'] lr = 0.000031 2022-03-21 20:34:36,859 - finetune_modelnet - INFO - [Validation] EPOCH: 253 acc = 92.0989 2022-03-21 20:34:37,537 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:35:38,696 - finetune_modelnet - INFO - [Training] EPOCH: 254 EpochTime = 61.158 (s) Losses = ['0.0141', '99.3180'] lr = 0.000029 2022-03-21 20:35:49,074 - finetune_modelnet - INFO - [Validation] EPOCH: 254 acc = 92.3420 2022-03-21 20:35:49,699 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:36:50,366 - finetune_modelnet - INFO - [Training] EPOCH: 255 EpochTime = 60.665 (s) Losses = ['0.0137', '99.3180'] lr = 0.000028 2022-03-21 20:37:00,503 - finetune_modelnet - INFO - [Validation] EPOCH: 255 acc = 92.2609 2022-03-21 20:37:01,168 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:38:02,424 - finetune_modelnet - INFO - [Training] EPOCH: 256 EpochTime = 61.254 (s) Losses = ['0.0128', '99.3689'] lr = 0.000027 2022-03-21 20:38:12,728 - finetune_modelnet - INFO - [Validation] EPOCH: 256 acc = 92.1799 2022-03-21 20:38:13,373 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:39:13,983 - finetune_modelnet - INFO - [Training] EPOCH: 257 EpochTime = 60.608 (s) Losses = ['0.0145', '99.3485'] lr = 0.000026 2022-03-21 20:39:24,136 - finetune_modelnet - INFO - [Validation] EPOCH: 257 acc = 92.3825 2022-03-21 20:39:24,799 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:40:25,411 - finetune_modelnet - INFO - [Training] EPOCH: 258 EpochTime = 60.610 (s) Losses = ['0.0119', '99.4096'] lr = 0.000025 2022-03-21 20:40:35,594 - finetune_modelnet - INFO - [Validation] EPOCH: 258 acc = 92.2609 2022-03-21 20:40:36,283 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:41:36,966 - finetune_modelnet - INFO - [Training] EPOCH: 259 EpochTime = 60.681 (s) Losses = ['0.0122', '99.3485'] lr = 0.000024 2022-03-21 20:41:47,460 - finetune_modelnet - INFO - [Validation] EPOCH: 259 acc = 92.5041 2022-03-21 20:41:48,206 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:42:49,654 - finetune_modelnet - INFO - [Training] EPOCH: 260 EpochTime = 61.446 (s) Losses = ['0.0122', '99.3078'] lr = 0.000023 2022-03-21 20:43:00,059 - finetune_modelnet - INFO - [Validation] EPOCH: 260 acc = 92.1799 2022-03-21 20:43:00,726 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:44:03,667 - finetune_modelnet - INFO - [Training] EPOCH: 261 EpochTime = 62.938 (s) Losses = ['0.0122', '99.5114'] lr = 0.000022 2022-03-21 20:44:14,320 - finetune_modelnet - INFO - [Validation] EPOCH: 261 acc = 92.2204 2022-03-21 20:44:15,016 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:45:17,841 - finetune_modelnet - INFO - [Training] EPOCH: 262 EpochTime = 62.823 (s) Losses = ['0.0117', '99.4503'] lr = 0.000020 2022-03-21 20:45:28,248 - finetune_modelnet - INFO - [Validation] EPOCH: 262 acc = 92.1799 2022-03-21 20:45:28,911 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:46:30,340 - finetune_modelnet - INFO - [Training] EPOCH: 263 EpochTime = 61.427 (s) Losses = ['0.0138', '99.3078'] lr = 0.000019 2022-03-21 20:46:41,050 - finetune_modelnet - INFO - [Validation] EPOCH: 263 acc = 92.1799 2022-03-21 20:46:41,680 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:47:43,095 - finetune_modelnet - INFO - [Training] EPOCH: 264 EpochTime = 61.414 (s) Losses = ['0.0118', '99.3791'] lr = 0.000019 2022-03-21 20:47:53,677 - finetune_modelnet - INFO - [Validation] EPOCH: 264 acc = 91.8558 2022-03-21 20:47:54,419 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:48:56,275 - finetune_modelnet - INFO - [Training] EPOCH: 265 EpochTime = 61.854 (s) Losses = ['0.0121', '99.3791'] lr = 0.000018 2022-03-21 20:49:07,044 - finetune_modelnet - INFO - [Validation] EPOCH: 265 acc = 91.9368 2022-03-21 20:49:07,709 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:50:09,437 - finetune_modelnet - INFO - [Training] EPOCH: 266 EpochTime = 61.726 (s) Losses = ['0.0116', '99.4300'] lr = 0.000017 2022-03-21 20:50:19,743 - finetune_modelnet - INFO - [Validation] EPOCH: 266 acc = 92.0989 2022-03-21 20:50:20,574 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:51:21,886 - finetune_modelnet - INFO - [Training] EPOCH: 267 EpochTime = 61.309 (s) Losses = ['0.0117', '99.3994'] lr = 0.000016 2022-03-21 20:51:32,129 - finetune_modelnet - INFO - [Validation] EPOCH: 267 acc = 92.0583 2022-03-21 20:51:32,817 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:52:35,741 - finetune_modelnet - INFO - [Training] EPOCH: 268 EpochTime = 62.922 (s) Losses = ['0.0112', '99.4198'] lr = 0.000015 2022-03-21 20:52:45,848 - finetune_modelnet - INFO - [Validation] EPOCH: 268 acc = 91.6937 2022-03-21 20:52:46,583 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:53:47,638 - finetune_modelnet - INFO - [Training] EPOCH: 269 EpochTime = 61.053 (s) Losses = ['0.0108', '99.4300'] lr = 0.000014 2022-03-21 20:53:58,505 - finetune_modelnet - INFO - [Validation] EPOCH: 269 acc = 91.9773 2022-03-21 20:53:59,190 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:55:00,063 - finetune_modelnet - INFO - [Training] EPOCH: 270 EpochTime = 60.871 (s) Losses = ['0.0105', '99.3893'] lr = 0.000013 2022-03-21 20:55:10,190 - finetune_modelnet - INFO - [Validation] EPOCH: 270 acc = 92.0583 2022-03-21 20:55:10,868 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:56:12,221 - finetune_modelnet - INFO - [Training] EPOCH: 271 EpochTime = 61.351 (s) Losses = ['0.0116', '99.3689'] lr = 0.000012 2022-03-21 20:56:22,355 - finetune_modelnet - INFO - [Validation] EPOCH: 271 acc = 92.0583 2022-03-21 20:56:23,102 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:57:24,585 - finetune_modelnet - INFO - [Training] EPOCH: 272 EpochTime = 61.482 (s) Losses = ['0.0105', '99.4910'] lr = 0.000012 2022-03-21 20:57:34,726 - finetune_modelnet - INFO - [Validation] EPOCH: 272 acc = 92.0989 2022-03-21 20:57:35,477 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:58:37,213 - finetune_modelnet - INFO - [Training] EPOCH: 273 EpochTime = 61.734 (s) Losses = ['0.0138', '99.2773'] lr = 0.000011 2022-03-21 20:58:47,540 - finetune_modelnet - INFO - [Validation] EPOCH: 273 acc = 91.9368 2022-03-21 20:58:48,160 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 20:59:48,815 - finetune_modelnet - INFO - [Training] EPOCH: 274 EpochTime = 60.654 (s) Losses = ['0.0105', '99.4503'] lr = 0.000010 2022-03-21 20:59:58,851 - finetune_modelnet - INFO - [Validation] EPOCH: 274 acc = 91.8558 2022-03-21 20:59:59,509 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:01:00,925 - finetune_modelnet - INFO - [Training] EPOCH: 275 EpochTime = 61.415 (s) Losses = ['0.0116', '99.3994'] lr = 0.000010 2022-03-21 21:01:11,427 - finetune_modelnet - INFO - [Validation] EPOCH: 275 acc = 92.0989 2022-03-21 21:01:12,069 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:02:13,113 - finetune_modelnet - INFO - [Training] EPOCH: 276 EpochTime = 61.042 (s) Losses = ['0.0104', '99.4605'] lr = 0.000009 2022-03-21 21:02:23,274 - finetune_modelnet - INFO - [Validation] EPOCH: 276 acc = 92.0989 2022-03-21 21:02:23,901 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:03:25,368 - finetune_modelnet - INFO - [Training] EPOCH: 277 EpochTime = 61.466 (s) Losses = ['0.0114', '99.3587'] lr = 0.000008 2022-03-21 21:03:35,535 - finetune_modelnet - INFO - [Validation] EPOCH: 277 acc = 92.0583 2022-03-21 21:03:36,132 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:04:37,244 - finetune_modelnet - INFO - [Training] EPOCH: 278 EpochTime = 61.111 (s) Losses = ['0.0106', '99.4198'] lr = 0.000008 2022-03-21 21:04:47,334 - finetune_modelnet - INFO - [Validation] EPOCH: 278 acc = 91.9773 2022-03-21 21:04:47,915 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:05:49,140 - finetune_modelnet - INFO - [Training] EPOCH: 279 EpochTime = 61.224 (s) Losses = ['0.0108', '99.4300'] lr = 0.000007 2022-03-21 21:05:59,434 - finetune_modelnet - INFO - [Validation] EPOCH: 279 acc = 91.7747 2022-03-21 21:06:00,138 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:07:00,573 - finetune_modelnet - INFO - [Training] EPOCH: 280 EpochTime = 60.434 (s) Losses = ['0.0116', '99.3791'] lr = 0.000006 2022-03-21 21:07:10,787 - finetune_modelnet - INFO - [Validation] EPOCH: 280 acc = 91.8152 2022-03-21 21:07:11,403 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:08:12,400 - finetune_modelnet - INFO - [Training] EPOCH: 281 EpochTime = 60.996 (s) Losses = ['0.0109', '99.4707'] lr = 0.000006 2022-03-21 21:08:22,746 - finetune_modelnet - INFO - [Validation] EPOCH: 281 acc = 91.9368 2022-03-21 21:08:23,334 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:09:23,344 - finetune_modelnet - INFO - [Training] EPOCH: 282 EpochTime = 60.009 (s) Losses = ['0.0097', '99.5318'] lr = 0.000005 2022-03-21 21:09:33,549 - finetune_modelnet - INFO - [Validation] EPOCH: 282 acc = 92.0583 2022-03-21 21:09:34,228 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:10:35,426 - finetune_modelnet - INFO - [Training] EPOCH: 283 EpochTime = 61.196 (s) Losses = ['0.0104', '99.4300'] lr = 0.000005 2022-03-21 21:10:45,492 - finetune_modelnet - INFO - [Validation] EPOCH: 283 acc = 92.1799 2022-03-21 21:10:46,111 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:11:47,433 - finetune_modelnet - INFO - [Training] EPOCH: 284 EpochTime = 61.319 (s) Losses = ['0.0121', '99.4401'] lr = 0.000004 2022-03-21 21:11:57,530 - finetune_modelnet - INFO - [Validation] EPOCH: 284 acc = 91.9773 2022-03-21 21:11:58,273 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:12:57,515 - finetune_modelnet - INFO - [Training] EPOCH: 285 EpochTime = 59.241 (s) Losses = ['0.0108', '99.4096'] lr = 0.000004 2022-03-21 21:13:07,706 - finetune_modelnet - INFO - [Validation] EPOCH: 285 acc = 92.0989 2022-03-21 21:13:08,328 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:14:07,184 - finetune_modelnet - INFO - [Training] EPOCH: 286 EpochTime = 58.855 (s) Losses = ['0.0110', '99.4300'] lr = 0.000004 2022-03-21 21:14:17,457 - finetune_modelnet - INFO - [Validation] EPOCH: 286 acc = 92.0583 2022-03-21 21:14:18,070 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:15:17,256 - finetune_modelnet - INFO - [Training] EPOCH: 287 EpochTime = 59.185 (s) Losses = ['0.0102', '99.3994'] lr = 0.000003 2022-03-21 21:15:27,387 - finetune_modelnet - INFO - [Validation] EPOCH: 287 acc = 92.2204 2022-03-21 21:15:27,986 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:16:27,365 - finetune_modelnet - INFO - [Training] EPOCH: 288 EpochTime = 59.378 (s) Losses = ['0.0101', '99.4910'] lr = 0.000003 2022-03-21 21:16:37,765 - finetune_modelnet - INFO - [Validation] EPOCH: 288 acc = 92.1799 2022-03-21 21:16:38,422 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:17:38,212 - finetune_modelnet - INFO - [Training] EPOCH: 289 EpochTime = 59.788 (s) Losses = ['0.0115', '99.3994'] lr = 0.000003 2022-03-21 21:17:48,529 - finetune_modelnet - INFO - [Validation] EPOCH: 289 acc = 92.1799 2022-03-21 21:17:49,241 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:18:49,248 - finetune_modelnet - INFO - [Training] EPOCH: 290 EpochTime = 60.005 (s) Losses = ['0.0107', '99.3893'] lr = 0.000002 2022-03-21 21:18:59,631 - finetune_modelnet - INFO - [Validation] EPOCH: 290 acc = 91.9773 2022-03-21 21:19:00,240 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:19:59,875 - finetune_modelnet - INFO - [Training] EPOCH: 291 EpochTime = 59.633 (s) Losses = ['0.0110', '99.3282'] lr = 0.000002 2022-03-21 21:20:10,272 - finetune_modelnet - INFO - [Validation] EPOCH: 291 acc = 92.0989 2022-03-21 21:20:10,892 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:21:10,198 - finetune_modelnet - INFO - [Training] EPOCH: 292 EpochTime = 59.304 (s) Losses = ['0.0110', '99.4401'] lr = 0.000002 2022-03-21 21:21:20,468 - finetune_modelnet - INFO - [Validation] EPOCH: 292 acc = 92.1394 2022-03-21 21:21:21,117 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:22:20,423 - finetune_modelnet - INFO - [Training] EPOCH: 293 EpochTime = 59.304 (s) Losses = ['0.0112', '99.3994'] lr = 0.000002 2022-03-21 21:22:31,009 - finetune_modelnet - INFO - [Validation] EPOCH: 293 acc = 92.2204 2022-03-21 21:22:31,644 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:23:31,142 - finetune_modelnet - INFO - [Training] EPOCH: 294 EpochTime = 59.496 (s) Losses = ['0.0102', '99.4910'] lr = 0.000001 2022-03-21 21:23:41,686 - finetune_modelnet - INFO - [Validation] EPOCH: 294 acc = 92.1394 2022-03-21 21:23:42,316 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:24:42,101 - finetune_modelnet - INFO - [Training] EPOCH: 295 EpochTime = 59.784 (s) Losses = ['0.0123', '99.3485'] lr = 0.000001 2022-03-21 21:24:52,672 - finetune_modelnet - INFO - [Validation] EPOCH: 295 acc = 92.2204 2022-03-21 21:24:53,351 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:25:53,462 - finetune_modelnet - INFO - [Training] EPOCH: 296 EpochTime = 60.109 (s) Losses = ['0.0101', '99.4503'] lr = 0.000001 2022-03-21 21:26:03,776 - finetune_modelnet - INFO - [Validation] EPOCH: 296 acc = 92.0989 2022-03-21 21:26:04,399 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:27:04,968 - finetune_modelnet - INFO - [Training] EPOCH: 297 EpochTime = 60.568 (s) Losses = ['0.0103', '99.4503'] lr = 0.000001 2022-03-21 21:27:15,251 - finetune_modelnet - INFO - [Validation] EPOCH: 297 acc = 91.9368 2022-03-21 21:27:15,930 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:28:16,232 - finetune_modelnet - INFO - [Training] EPOCH: 298 EpochTime = 60.300 (s) Losses = ['0.0106', '99.3994'] lr = 0.000001 2022-03-21 21:28:26,665 - finetune_modelnet - INFO - [Validation] EPOCH: 298 acc = 91.9368 2022-03-21 21:28:27,332 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:29:27,906 - finetune_modelnet - INFO - [Training] EPOCH: 299 EpochTime = 60.572 (s) Losses = ['0.0103', '99.4707'] lr = 0.000001 2022-03-21 21:29:38,401 - finetune_modelnet - INFO - [Validation] EPOCH: 299 acc = 92.0178 2022-03-21 21:29:39,072 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth 2022-03-21 21:30:39,501 - finetune_modelnet - INFO - [Training] EPOCH: 300 EpochTime = 60.428 (s) Losses = ['0.0100', '99.4707'] lr = 0.000001 2022-03-21 21:30:50,036 - finetune_modelnet - INFO - [Validation] EPOCH: 300 acc = 92.1394 2022-03-21 21:30:50,740 - finetune_modelnet - INFO - Save checkpoint at ./experiments/finetune_modelnet/cfgs/model_40/ckpt-last.pth

yanghu819 commented 2 years ago

Could you show the exact setting including random seed？

Pang-Yatian commented 2 years ago

Performance on ModelNet40 is not stable for almost all the methods, see CVMI-Lab/PAConv/issues/9, ma-xu/pointMLP-pytorch/issues/1. You may need to run several times to get a good result.

For detailed settings, please find our logs.

yanghu819 commented 2 years ago

So you choose the best results in several runnings? Paper like pointnet/pointnet++/dgcnn can reproduce the results as they describe. I think you should upload more running logs for following work to compare.

Pang-Yatian commented 2 years ago

  1. No. We only run 1 time and report the result.

  2. Our reported results can also be reproduced as described!

yanghu819 commented 2 years ago

Could you provide more running logs for referring(the best result is not representative)? I ran 2 times and still can't get your results. How many times did you try to get the reported results?

Pang-Yatian commented 2 years ago

We only run 1 time on ModelNet 1k and get the reported result.

Did you run the voting code?

yanghu819 commented 2 years ago

I ran without voting, maybe that is the reason?

Pang-Yatian commented 2 years ago

Sure! Our reported results on ModelNet40 is with the standard voting method. Without voting, acc is 93.18%.

yanghu819 commented 2 years ago

When finetuning without voting， which pretrained checkpoint did you use? I use the last checkpoint, could you

CUDA_VISIBLE_DEVICES=0 python main.py --config cfgs/pretrain.yaml --exp_name pretrain_try CUDA_VISIBLE_DEVICES=0 python main.py --config cfgs/finetune_modelnet.yaml \ --finetune_model --exp_name model_40 --ckpts /data/jupyter/point-mae/Point-MAE/experiments/pretrain/cfgs/pretrain_try/ckpt-last.pth

with the above code, I can have at most 92.58% accuracy in 229 epoch

Pang-Yatian commented 2 years ago

We use the pre-trained 300th epoch checkpoint for fine-tuning.

yanghu819 commented 2 years ago

I repeat again, and achieve at most 92.70 in 154 epoch, do you think it is a reasonable result.

Pang-Yatian commented 2 years ago

Please refer to our log, we achieve 93.19% acc at 229 epoch.

yanghu819 commented 2 years ago

Could you provide more logs with different random init pretrained and fine-tuned results？ I wonder how unstable the result is for I don't achieve 93.19 in 3 times run.

Pang-Yatian commented 2 years ago

Currently, we do not have more results. We will provide more results later.

Pang-Yatian commented 2 years ago

Hi,

We provide 3 more results, see here. Accs are 93.19, 93.07, 92.95.

Our results can be reproduced as reported.

yanghu819 commented 2 years ago

I finetune with your provided pretrained model and get 92.86 on model401k, what GPU you use, I use 2080Ti, also, can you provide a more exact log with random seed(e.g. 42)

Pang-Yatian commented 2 years ago

CAN YOU PLEASE CHECK THE PROVIDED 3 LOGS ? The random seed is IN THE LOG.

We use 3090s and v100s.

Even under the same random seed, results are different on different CUDA devices. See https://github.com/pytorch/pytorch/issues/18412, https://github.com/pytorch/pytorch/issues/25690.

yanghu819 commented 2 years ago

The default setting with random seed 0's results is not listed, I will run with random seed 1408.

Pang-Yatian commented 2 years ago

CAN YOU READ WHAT I COMMENTED BEFORE??? YOU CAN FIND IT HERE

Pang-Yatian commented 2 years ago

AND SAME RANDOM SEED DO NOT GUARANTEE THE SAME RESULT.

yanghu819 commented 2 years ago

Have you tried the experiment on 2080ti? 2080ti always gets the worse case.

Pang-Yatian commented 2 years ago

We do not have 2080ti. The randomness is caused by the random seed.

We also recommend you evaluate our model on the ScanObjectNN dataset.

yanghu819 commented 2 years ago

On shapenet experiment, do you find it's more stable than model40?

Pang-Yatian commented 2 years ago

We only use shapenet for pre-training. The performance on ScanObjectNN also has randomness. We also double-checked our reported results can be reproduced. See here.

yanghu819 commented 2 years ago

About the paper, I didn't see linear prop(SVM) results (most point-ssl paper includes), I notice other point-SSL methods can provide high accuracy at a very early stage(e.g. the SVM fine-tuned results can be more than 88% in the first tuning epoch).

Pang-Yatian commented 2 years ago

We follow Point-BERT and do not conduct this experiment. SVM evaluation is mainly used in methods that use DGCNN as backbones. We will add it if we think it is necessary.

yanghu819 commented 2 years ago

I see, thank you

Pang-Yatian @.***> 于2022年3月28日周一 17:38写道：

We follow Point-BERT and do not conduct this experiment. SVM evaluation is mainly used in methods that use DGCNN as backbones.

— Reply to this email directly, view it on GitHub https://github.com/Pang-Yatian/Point-MAE/issues/5#issuecomment-1080427699, or unsubscribe https://github.com/notifications/unsubscribe-auth/AKXIECH4ZUTGHZFL5NTHJVLVCF42HANCNFSM5RKAGVSA . You are receiving this because you authored the thread.Message ID: @.***>

yanghu819 commented 2 years ago

how many GPUs do you use for the model 1k experiment, I use only one 2080ti.

Pang-Yatian commented 2 years ago

One.