mae_huge14.th

03-04 14:30:05 I ------------------
03-04 14:30:05 I initializing wandb (mode=online)
03-04 14:30:08 I logged into wandb (host=https://api.wandb.ai/)
03-04 14:30:14 I ------------------
03-04 14:30:14 I python main_train.py --hp yamls_paper/probe/run/huge_facebook.yaml
03-04 14:30:14 I ------------------
03-04 14:30:14 I VERSION CHECK
03-04 14:30:14 I python version: 3.9.13
03-04 14:30:14 I torch version: 1.12.1.post200
03-04 14:30:14 I torchmetrics version: 0.11.0
03-04 14:30:14 I kappabenchmark version: 0.0.10
03-04 14:30:14 I kappaconfig version: 1.0.29
03-04 14:30:14 I kappadata version: 1.1.5
03-04 14:30:14 I kappaprofiler version: 1.0.9
03-04 14:30:14 I kappaschedules version: 0.0.7
03-04 14:30:14 I pytorch_concurrent_dataloader version: 0.0.7
03-04 14:30:14 I torchmetrics version: 0.11.0
03-04 14:30:14 I ------------------
03-04 14:30:14 I SYSTEM INFO
03-04 14:30:14 I current commit hash: 7fcd4ce85a6816da2c914cc9d9c905346e5e45ad
03-04 14:30:14 I total_cpu_count: 32
03-04 14:30:14 I ------------------
03-04 14:30:14 I CLI ARGS
03-04 14:30:14 I hp: yamls_paper/probe/run/huge_facebook.yaml
03-04 14:30:14 I accelerator: gpu
03-04 14:30:14 I testrun: False
03-04 14:30:14 I minmodelrun: False
03-04 14:30:14 I mindatarun: False
03-04 14:30:14 I mindurationrun: False
03-04 14:30:14 I datasets_were_preloaded: False
03-04 14:30:14 I disable_flash_attention: False
03-04 14:30:14 I ------------------
03-04 14:30:14 I DIST CONFIG
03-04 14:30:14 I rank: 0
03-04 14:30:14 I local_rank: 0
03-04 14:30:14 I world_size: 4
03-04 14:30:14 I nodes: 1
03-04 14:30:14 I backend: nccl
03-04 14:30:14 I slurm job id: 293260
03-04 14:30:14 I ------------------
stage_name: probe
datasets:
  train:
    kind: image_net
    version: imagenet1k
    split: train
    x_transform:
    - kind: kd_random_resized_crop
      size: 224
      scale:
      - 0.08
      - 1.0
      interpolation: bicubic
    - kind: random_horizontal_flip
    - kind: kd_image_net_norm
  test:
    kind: image_net
    version: imagenet1k
    split: test
    x_transform:
    - kind: kd_resize
      size: 256
      interpolation: bicubic
    - kind: center_crop
      size: 224
    - kind: kd_image_net_norm
model:
  kind: backbone_head
  backbone:
    kind: vit.vit_mae
    patch_size: 14
    kwargs:
      patch_size: 14
      embedding_dim: 1280
      depth: 32
      attention_heads: 16
    is_frozen: true
    initializer:
      kind: pretrained_initializer
      weights_file: mae_pretrain_vit_huge.pth
  head:
    kind: heads.multi_linear_head
    poolings:
      cls:
        kind: class_token
    initializers:
      default:
        kind: trunc_normal_initializer
        std: 0.01
    optimizers:
      sgd_lr01_wupcos_wd0:
        kind: sgd
        lr: 0.1
        momentum: 0.9
        schedule:
        - kind: linear
          end_percent: 10.0
        - kind: cosine_annealing
      sgd_lr009_wupcos_wd0:
        kind: sgd
        lr: 0.09
        momentum: 0.9
        schedule:
        - kind: linear
          end_percent: 10.0
        - kind: cosine_annealing
      sgd_lr008_wupcos_wd0:
        kind: sgd
        lr: 0.08
        momentum: 0.9
        schedule:
        - kind: linear
          end_percent: 10.0
        - kind: cosine_annealing
      sgd_lr007_wupcos_wd0:
        kind: sgd
        lr: 0.07
        momentum: 0.9
        schedule:
        - kind: linear
          end_percent: 10.0
        - kind: cosine_annealing
      sgd_lr006_wupcos_wd0:
        kind: sgd
        lr: 0.06
        momentum: 0.9
        schedule:
        - kind: linear
          end_percent: 10.0
        - kind: cosine_annealing
      sgd_lr005_wupcos_wd0:
        kind: sgd
        lr: 0.05
        momentum: 0.9
        schedule:
        - kind: linear
          end_percent: 10.0
        - kind: cosine_annealing
      sgd_lr004_wupcos_wd0:
        kind: sgd
        lr: 0.04
        momentum: 0.9
        schedule:
        - kind: linear
          end_percent: 10.0
        - kind: cosine_annealing
      sgd_lr003_wupcos_wd0:
        kind: sgd
        lr: 0.03
        momentum: 0.9
        schedule:
        - kind: linear
          end_percent: 10.0
        - kind: cosine_annealing
      sgd_lr002_wupcos_wd0:
        kind: sgd
        lr: 0.02
        momentum: 0.9
        schedule:
        - kind: linear
          end_percent: 10.0
        - kind: cosine_annealing
      sgd_lr001_wupcos_wd0:
        kind: sgd
        lr: 0.001
        momentum: 0.9
        schedule:
        - kind: linear
          end_percent: 10.0
        - kind: cosine_annealing
trainer:
  kind: classification_trainer
  effective_batch_size: 1024
  max_epochs: 50
  log_every_n_epochs: 1
  precision: bfloat16
  loggers:
  - kind: accuracy_logger
    every_n_epochs: 1
    dataset_key: test
  - kind: checkpoint_logger
    save_optim: false
    save_latest_optim: false
  - kind: best_model_logger
    every_n_epochs: 1
    metric_key: accuracy1/test/cls_sgd_lr01_wupcos_wd0_default
    model_name: backbone_head.head.cls_sgd_lr01_wupcos_wd0_default
  - kind: best_model_logger
    every_n_epochs: 1
    metric_key: accuracy1/test/cls_sgd_lr009_wupcos_wd0_default
    model_name: backbone_head.head.cls_sgd_lr009_wupcos_wd0_default
  - kind: best_model_logger
    every_n_epochs: 1
    metric_key: accuracy1/test/cls_sgd_lr008_wupcos_wd0_default
    model_name: backbone_head.head.cls_sgd_lr008_wupcos_wd0_default
  - kind: best_model_logger
    every_n_epochs: 1
    metric_key: accuracy1/test/cls_sgd_lr007_wupcos_wd0_default
    model_name: backbone_head.head.cls_sgd_lr007_wupcos_wd0_default
  - kind: best_model_logger
    every_n_epochs: 1
    metric_key: accuracy1/test/cls_sgd_lr006_wupcos_wd0_default
    model_name: backbone_head.head.cls_sgd_lr006_wupcos_wd0_default
  - kind: best_model_logger
    every_n_epochs: 1
    metric_key: accuracy1/test/cls_sgd_lr005_wupcos_wd0_default
    model_name: backbone_head.head.cls_sgd_lr005_wupcos_wd0_default
  - kind: best_model_logger
    every_n_epochs: 1
    metric_key: accuracy1/test/cls_sgd_lr004_wupcos_wd0_default
    model_name: backbone_head.head.cls_sgd_lr004_wupcos_wd0_default
  - kind: best_model_logger
    every_n_epochs: 1
    metric_key: accuracy1/test/cls_sgd_lr003_wupcos_wd0_default
    model_name: backbone_head.head.cls_sgd_lr003_wupcos_wd0_default
  - kind: best_model_logger
    every_n_epochs: 1
    metric_key: accuracy1/test/cls_sgd_lr002_wupcos_wd0_default
    model_name: backbone_head.head.cls_sgd_lr002_wupcos_wd0_default
  - kind: best_model_logger
    every_n_epochs: 1
    metric_key: accuracy1/test/cls_sgd_lr001_wupcos_wd0_default
    model_name: backbone_head.head.cls_sgd_lr001_wupcos_wd0_default
summary_summarizers:
- kind: best_metric_summary_summarizer
  pattern: accuracy1/test*/last
- kind: best_metric_summary_summarizer
  pattern: accuracy1/test*/max
- kind: best_metric_summary_summarizer
  pattern: accuracy1/test/cls_*/last
- kind: best_metric_summary_summarizer
  pattern: accuracy1/test/cls_*/max
03-04 14:30:14 I copied unresolved hp to /project/home/PROJECT/save/mlp/probe/10dwuvzu/hp_unresolved.yaml
03-04 14:30:14 I dumped resolved hp to /project/home/PROJECT/save/mlp/probe/10dwuvzu/hp_resolved.yaml
03-04 14:30:14 I ------------------
03-04 14:30:14 I training stage 'probe'
03-04 14:30:14 I no seed specified -> using seed=5
03-04 14:30:14 I using different seeds per process (seed+rank) 
03-04 14:30:14 I set seed to 5
03-04 14:30:14 I ------------------
03-04 14:30:14 I initializing datasets
03-04 14:30:14 I initialzing train
03-04 14:30:14 I data_source (global): '/project/home/PROJECT/data/imagenet1k/train'
03-04 14:30:14 I data_source (local): '/mnt/tier0/project/PROJECT/imagenet1k/train'
03-04 14:30:14 I extracting 1000 zips from '/project/home/PROJECT/data/imagenet1k/train' to '/mnt/tier0/project/PROJECT/imagenet1k/train' using 10 workers
03-04 14:34:00 I finished copying data from global to local
03-04 14:34:00 I source_root '/mnt/tier0/project/PROJECT/imagenet1k/train' contains 1000 folders
03-04 14:34:03 I initialzing test
03-04 14:34:03 I data_source (global): '/project/home/PROJECT/data/imagenet1k/val'
03-04 14:34:03 I data_source (local): '/mnt/tier0/project/PROJECT/imagenet1k/val'
03-04 14:34:03 I extracting 1000 zips from '/project/home/PROJECT/data/imagenet1k/val' to '/mnt/tier0/project/PROJECT/imagenet1k/val' using 10 workers
03-04 14:34:13 I finished copying data from global to local
03-04 14:34:13 I source_root '/mnt/tier0/project/PROJECT/imagenet1k/val' contains 1000 folders
03-04 14:34:13 I ------------------
03-04 14:34:13 I initializing trainer
03-04 14:34:13 I ------------------
03-04 14:34:13 I creating model
03-04 14:34:14 I using fixed positional embedding
03-04 14:34:14 I using FlashAttention
03-04 14:34:27 I vit_mae skipping model specific initialization
03-04 14:34:27 I initialized LinearHead with weight=trunc_normal(std=0.01) bias=0
03-04 14:34:27 I linear_head applying model specific initialization
03-04 14:34:27 I initialized LinearHead with weight=trunc_normal(std=0.01) bias=0
03-04 14:34:27 I linear_head applying model specific initialization
03-04 14:34:27 I initialized LinearHead with weight=trunc_normal(std=0.01) bias=0
03-04 14:34:27 I linear_head applying model specific initialization
03-04 14:34:27 I initialized LinearHead with weight=trunc_normal(std=0.01) bias=0
03-04 14:34:27 I linear_head applying model specific initialization
03-04 14:34:27 I initialized LinearHead with weight=trunc_normal(std=0.01) bias=0
03-04 14:34:27 I linear_head applying model specific initialization
03-04 14:34:27 I initialized LinearHead with weight=trunc_normal(std=0.01) bias=0
03-04 14:34:27 I linear_head applying model specific initialization
03-04 14:34:27 I initialized LinearHead with weight=trunc_normal(std=0.01) bias=0
03-04 14:34:27 I linear_head applying model specific initialization
03-04 14:34:27 I initialized LinearHead with weight=trunc_normal(std=0.01) bias=0
03-04 14:34:27 I linear_head applying model specific initialization
03-04 14:34:27 I initialized LinearHead with weight=trunc_normal(std=0.01) bias=0
03-04 14:34:27 I linear_head applying model specific initialization
03-04 14:34:27 I initialized LinearHead with weight=trunc_normal(std=0.01) bias=0
03-04 14:34:27 I linear_head applying model specific initialization
03-04 14:34:27 I applying model specific initialization
03-04 14:34:27 I skipping model specific initialization
03-04 14:34:27 I vit_mae is frozen -> no optimizer to initialize
03-04 14:34:27 I linear_head initialize optimizer
03-04 14:34:27 I unscaled lr: 1e-1
03-04 14:34:27 I scaled lr: 0.4 (LinearLrScaler(divisor=256) lr_scaler_factor=1024)
03-04 14:34:27 I group modifiers exclude_bias_from_wd=True exclude_norm_from_wd=True []
03-04 14:34:27 I linear_head initialize optimizer
03-04 14:34:27 I unscaled lr: 9e-2
03-04 14:34:27 I scaled lr: 0.36 (LinearLrScaler(divisor=256) lr_scaler_factor=1024)
03-04 14:34:27 I group modifiers exclude_bias_from_wd=True exclude_norm_from_wd=True []
03-04 14:34:27 I linear_head initialize optimizer
03-04 14:34:27 I unscaled lr: 8e-2
03-04 14:34:27 I scaled lr: 0.32 (LinearLrScaler(divisor=256) lr_scaler_factor=1024)
03-04 14:34:27 I group modifiers exclude_bias_from_wd=True exclude_norm_from_wd=True []
03-04 14:34:27 I linear_head initialize optimizer
03-04 14:34:27 I unscaled lr: 7e-2
03-04 14:34:27 I scaled lr: 0.28 (LinearLrScaler(divisor=256) lr_scaler_factor=1024)
03-04 14:34:27 I group modifiers exclude_bias_from_wd=True exclude_norm_from_wd=True []
03-04 14:34:27 I linear_head initialize optimizer
03-04 14:34:27 I unscaled lr: 6e-2
03-04 14:34:27 I scaled lr: 0.24 (LinearLrScaler(divisor=256) lr_scaler_factor=1024)
03-04 14:34:27 I group modifiers exclude_bias_from_wd=True exclude_norm_from_wd=True []
03-04 14:34:27 I linear_head initialize optimizer
03-04 14:34:27 I unscaled lr: 5e-2
03-04 14:34:27 I scaled lr: 0.2 (LinearLrScaler(divisor=256) lr_scaler_factor=1024)
03-04 14:34:27 I group modifiers exclude_bias_from_wd=True exclude_norm_from_wd=True []
03-04 14:34:27 I linear_head initialize optimizer
03-04 14:34:27 I unscaled lr: 4e-2
03-04 14:34:27 I scaled lr: 0.16 (LinearLrScaler(divisor=256) lr_scaler_factor=1024)
03-04 14:34:27 I group modifiers exclude_bias_from_wd=True exclude_norm_from_wd=True []
03-04 14:34:27 I linear_head initialize optimizer
03-04 14:34:27 I unscaled lr: 3e-2
03-04 14:34:27 I scaled lr: 0.12 (LinearLrScaler(divisor=256) lr_scaler_factor=1024)
03-04 14:34:27 I group modifiers exclude_bias_from_wd=True exclude_norm_from_wd=True []
03-04 14:34:27 I linear_head initialize optimizer
03-04 14:34:27 I unscaled lr: 2e-2
03-04 14:34:27 I scaled lr: 0.08 (LinearLrScaler(divisor=256) lr_scaler_factor=1024)
03-04 14:34:27 I group modifiers exclude_bias_from_wd=True exclude_norm_from_wd=True []
03-04 14:34:27 I linear_head initialize optimizer
03-04 14:34:27 I unscaled lr: 1e-3
03-04 14:34:27 I scaled lr: 0.004 (LinearLrScaler(divisor=256) lr_scaler_factor=1024)
03-04 14:34:27 I group modifiers exclude_bias_from_wd=True exclude_norm_from_wd=True []
03-04 14:34:28 I added default DatasetStatsLogger()
03-04 14:34:28 I added default ParamCountLogger()
03-04 14:34:28 I added default ProgressLogger(every_n_epochs=1)
03-04 14:34:28 I added default TrainTimeLogger(every_n_epochs=1)
03-04 14:34:28 I added default OnlineLossLogger(every_n_epochs=1)
03-04 14:34:28 I added default LrLogger(every_n_updates=50)
03-04 14:34:28 I added default FreezerLogger(every_n_updates=50)
03-04 14:34:28 I added default OnlineLossLogger(every_n_updates=50)
03-04 14:34:28 I ------------------
03-04 14:34:28 I PREPARE TRAINER
03-04 14:34:28 I calculating batch_size and accumulation_steps (effective_batch_size=1024)
03-04 14:34:28 I model is batch_size dependent -> disabled possible gradient accumulation
03-04 14:34:28 I train_batches per epoch: 1251 (world_size=4 batch_size=256)
03-04 14:34:28 I initializing train dataloader
03-04 14:34:28 I created 'train' dataloader (type=pytorch batch_size=256 num_workers=22 pin_memory=True dataset_length=1281167 persistent_workers=True total_cpu_count=32)
03-04 14:34:28 I ------------------
03-04 14:34:28 I BEFORE TRAINING
03-04 14:34:28 I train: 1281167 samples
03-04 14:34:28 I skipping dataset statistics for train (too big len(ds)=1281167)
03-04 14:34:28 I test: 50000 samples
03-04 14:34:28 I test has 1000 classes (1000 classes with samples)
03-04 14:34:28 I each class has at least 50 samples
03-04 14:34:28 I each class has at most 50 samples
03-04 14:34:28 I each class has on average 50.0 samples
03-04 14:34:28 I parameter counts (trainable | frozen)
03-04 14:34:28 I 12,810,000 |  630,435,840 | total
03-04 14:34:28 I          0 |  630,435,840 | backbone.vit_mae
03-04 14:34:28 I 12,810,000 |            0 | head
03-04 14:34:28 I  1,281,000 |            0 | head.cls_sgd_lr01_wupcos_wd0_default.linear_head
03-04 14:34:28 I  1,281,000 |            0 | head.cls_sgd_lr009_wupcos_wd0_default.linear_head
03-04 14:34:28 I  1,281,000 |            0 | head.cls_sgd_lr008_wupcos_wd0_default.linear_head
03-04 14:34:28 I  1,281,000 |            0 | head.cls_sgd_lr007_wupcos_wd0_default.linear_head
03-04 14:34:28 I  1,281,000 |            0 | head.cls_sgd_lr006_wupcos_wd0_default.linear_head
03-04 14:34:28 I  1,281,000 |            0 | head.cls_sgd_lr005_wupcos_wd0_default.linear_head
03-04 14:34:28 I  1,281,000 |            0 | head.cls_sgd_lr004_wupcos_wd0_default.linear_head
03-04 14:34:28 I  1,281,000 |            0 | head.cls_sgd_lr003_wupcos_wd0_default.linear_head
03-04 14:34:28 I  1,281,000 |            0 | head.cls_sgd_lr002_wupcos_wd0_default.linear_head
03-04 14:34:28 I  1,281,000 |            0 | head.cls_sgd_lr001_wupcos_wd0_default.linear_head
03-04 14:34:28 I created 'test' dataloader (type=pytorch batch_size=256 num_workers=8 pin_memory=True dataset_length=50000 persistent_workers=True total_cpu_count=32)
03-04 14:34:28 I estimated checkpoint size: 7.7GB
03-04 14:34:28 I estimated weight checkpoint size: 2.5GB
03-04 14:34:28 I estimated optim checkpoint size: 5.1GB
03-04 14:34:28 I estimated size for 1 checkpoints: 2.5GB
03-04 14:34:28 I ------------------
03-04 14:34:28 I DatasetStatsLogger()
03-04 14:34:28 I ParamCountLogger()
03-04 14:34:28 I ProgressLogger(every_n_epochs=1)
03-04 14:34:28 I TrainTimeLogger(every_n_epochs=1)
03-04 14:34:28 I OnlineLossLogger(every_n_epochs=1)
03-04 14:34:28 I LrLogger(every_n_updates=50)
03-04 14:34:28 I FreezerLogger(every_n_updates=50)
03-04 14:34:28 I OnlineLossLogger(every_n_updates=50)
03-04 14:34:28 I AccuracyLogger(every_n_epochs=1)
03-04 14:34:28 I CheckpointLogger()
03-04 14:34:28 I BestModelLogger(every_n_epochs=1)
03-04 14:34:28 I BestModelLogger(every_n_epochs=1)
03-04 14:34:28 I BestModelLogger(every_n_epochs=1)
03-04 14:34:28 I BestModelLogger(every_n_epochs=1)
03-04 14:34:28 I BestModelLogger(every_n_epochs=1)
03-04 14:34:28 I BestModelLogger(every_n_epochs=1)
03-04 14:34:28 I BestModelLogger(every_n_epochs=1)
03-04 14:34:28 I BestModelLogger(every_n_epochs=1)
03-04 14:34:28 I BestModelLogger(every_n_epochs=1)
03-04 14:34:28 I BestModelLogger(every_n_epochs=1)
03-04 14:34:28 I ------------------
03-04 14:34:28 I START TRAINING
03-04 14:34:28 I initializing dataloader workers
03-04 14:34:30 I initialized dataloader workers
03-04 14:34:32 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 14:34:41 I 0 unused parameters
03-04 14:34:41 I Reducer buckets have been rebuilt in this iteration.
03-04 14:49:19 I ------------------
03-04 14:49:19 I Epoch 1 (E1_U1251_S1281024)
03-04 14:49:19 I train_iter=[1.64, 1.56, 1.22, 1.48] train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 14:49:19 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 2.92392472
03-04 14:49:19 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 2.99069694
03-04 14:49:19 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 3.07144377
03-04 14:49:19 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 3.16404139
03-04 14:49:19 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 3.27729749
03-04 14:49:19 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 3.41963762
03-04 14:49:19 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 3.60224384
03-04 14:49:19 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 3.85355533
03-04 14:49:19 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 4.23789500
03-04 14:49:19 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 6.59628126
03-04 14:49:19 I loss/online/total: 37.13701736
03-04 14:49:52 I accuracy_logger_test_iter=0.76 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 14:49:53 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6889
03-04 14:49:53 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6854
03-04 14:49:54 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6829
03-04 14:49:54 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6784
03-04 14:49:54 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6729
03-04 14:49:54 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6644
03-04 14:49:54 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6534
03-04 14:49:54 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6370
03-04 14:49:54 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6097
03-04 14:49:54 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.1601
03-04 14:49:54 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): -inf --> 0.6888800263404846
03-04 14:49:54 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default model.th
03-04 14:49:54 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 14:49:54 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): -inf --> 0.6854400038719177
03-04 14:49:54 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default model.th
03-04 14:49:54 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 14:49:54 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): -inf --> 0.682919979095459
03-04 14:49:54 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr008_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default model.th
03-04 14:49:54 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 14:49:54 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): -inf --> 0.6784200072288513
03-04 14:49:54 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-04 14:49:54 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 14:49:54 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): -inf --> 0.6729000210762024
03-04 14:49:54 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-04 14:49:54 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 14:49:54 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): -inf --> 0.6644399762153625
03-04 14:49:54 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-04 14:49:54 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 14:49:54 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): -inf --> 0.6534000039100647
03-04 14:49:54 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default model.th
03-04 14:49:54 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 14:49:54 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): -inf --> 0.6370400190353394
03-04 14:49:54 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr003_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default model.th
03-04 14:49:54 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 14:49:54 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): -inf --> 0.6096799969673157
03-04 14:49:54 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default model.th
03-04 14:49:54 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 14:49:54 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): -inf --> 0.16009999811649323
03-04 14:49:54 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 14:49:54 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 14:49:54 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 15:04:33 I ------------------
03-04 15:04:33 I Epoch 2 (E2_U2502_S2562048)
03-04 15:04:33 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 15:04:33 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.48700849
03-04 15:04:33 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.49354376
03-04 15:04:33 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.50437381
03-04 15:04:33 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.52036196
03-04 15:04:33 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.54358006
03-04 15:04:33 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.57841772
03-04 15:04:33 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.63007720
03-04 15:04:33 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.71358793
03-04 15:04:33 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.86820176
03-04 15:04:33 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 4.98323810
03-04 15:04:33 I loss/online/total: 19.32239079
03-04 15:05:06 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 15:05:07 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7169
03-04 15:05:07 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7169
03-04 15:05:07 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7168
03-04 15:05:07 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7162
03-04 15:05:07 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7152
03-04 15:05:07 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7131
03-04 15:05:07 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7093
03-04 15:05:07 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7033
03-04 15:05:07 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6906
03-04 15:05:07 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.4091
03-04 15:05:07 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.6888800263404846 --> 0.7168599963188171
03-04 15:05:07 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default model.th
03-04 15:05:07 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 15:05:07 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.6854400038719177 --> 0.716920018196106
03-04 15:05:07 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default model.th
03-04 15:05:07 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 15:05:07 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.682919979095459 --> 0.716759979724884
03-04 15:05:07 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr008_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default model.th
03-04 15:05:07 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 15:05:07 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.6784200072288513 --> 0.7162200212478638
03-04 15:05:07 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-04 15:05:07 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 15:05:07 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.6729000210762024 --> 0.7152000069618225
03-04 15:05:07 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-04 15:05:07 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 15:05:07 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.6644399762153625 --> 0.713100016117096
03-04 15:05:07 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-04 15:05:07 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 15:05:07 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.6534000039100647 --> 0.7092800140380859
03-04 15:05:07 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default model.th
03-04 15:05:07 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 15:05:07 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.6370400190353394 --> 0.7033399939537048
03-04 15:05:07 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr003_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default model.th
03-04 15:05:07 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 15:05:07 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.6096799969673157 --> 0.6905999779701233
03-04 15:05:07 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default model.th
03-04 15:05:07 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 15:05:07 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.16009999811649323 --> 0.4091399908065796
03-04 15:05:07 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 15:05:07 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 15:05:07 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 15:19:47 I ------------------
03-04 15:19:47 I Epoch 3 (E3_U3753_S3843072)
03-04 15:19:47 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 15:19:47 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.41827890
03-04 15:19:47 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.40434215
03-04 15:19:47 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.39363739
03-04 15:19:47 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.38680881
03-04 15:19:47 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.38515480
03-04 15:19:47 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.39089124
03-04 15:19:47 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.40644877
03-04 15:19:47 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.44005947
03-04 15:19:47 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.51136054
03-04 15:19:47 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 3.51953568
03-04 15:19:47 I loss/online/total: 16.25651776
03-04 15:20:20 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 15:20:21 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7188
03-04 15:20:21 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7205
03-04 15:20:21 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7238
03-04 15:20:21 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7253
03-04 15:20:21 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7279
03-04 15:20:21 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7283
03-04 15:20:21 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7277
03-04 15:20:21 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7246
03-04 15:20:21 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7181
03-04 15:20:21 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5344
03-04 15:20:21 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.7168599963188171 --> 0.7188400030136108
03-04 15:20:21 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default model.th
03-04 15:20:21 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 15:20:21 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.716920018196106 --> 0.7204800248146057
03-04 15:20:21 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default model.th
03-04 15:20:21 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 15:20:21 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.716759979724884 --> 0.7237600088119507
03-04 15:20:21 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr008_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default model.th
03-04 15:20:21 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 15:20:21 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.7162200212478638 --> 0.7252799868583679
03-04 15:20:21 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-04 15:20:21 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 15:20:21 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.7152000069618225 --> 0.7279000282287598
03-04 15:20:21 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-04 15:20:21 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 15:20:21 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.713100016117096 --> 0.7282599806785583
03-04 15:20:21 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-04 15:20:21 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 15:20:21 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.7092800140380859 --> 0.7276600003242493
03-04 15:20:21 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default model.th
03-04 15:20:21 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 15:20:21 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.7033399939537048 --> 0.7246000170707703
03-04 15:20:21 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr003_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default model.th
03-04 15:20:21 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 15:20:21 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.6905999779701233 --> 0.7181000113487244
03-04 15:20:21 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default model.th
03-04 15:20:21 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 15:20:21 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.4091399908065796 --> 0.5344200134277344
03-04 15:20:21 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 15:20:21 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 15:20:21 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 15:35:01 I ------------------
03-04 15:35:01 I Epoch 4 (E4_U5004_S5124096)
03-04 15:35:01 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 15:35:01 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.45620523
03-04 15:35:01 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.42283899
03-04 15:35:01 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.39341813
03-04 15:35:01 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.36817993
03-04 15:35:01 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.34839790
03-04 15:35:01 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.33515452
03-04 15:35:01 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.33082142
03-04 15:35:01 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.34044516
03-04 15:35:01 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.37794269
03-04 15:35:01 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.70237911
03-04 15:35:01 I loss/online/total: 15.07578310
03-04 15:35:34 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 15:35:35 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7126
03-04 15:35:35 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7169
03-04 15:35:35 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7196
03-04 15:35:35 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7231
03-04 15:35:35 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7252
03-04 15:35:35 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7279
03-04 15:35:35 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7308
03-04 15:35:35 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7313
03-04 15:35:35 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7283
03-04 15:35:35 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5964
03-04 15:35:35 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.7276600003242493 --> 0.7308200001716614
03-04 15:35:35 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default model.th
03-04 15:35:35 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 15:35:35 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.7246000170707703 --> 0.7313399910926819
03-04 15:35:35 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr003_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default model.th
03-04 15:35:35 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 15:35:35 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.7181000113487244 --> 0.7283200025558472
03-04 15:35:35 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default model.th
03-04 15:35:35 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 15:35:35 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.5344200134277344 --> 0.5964199900627136
03-04 15:35:35 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 15:35:35 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 15:35:35 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 15:50:14 I ------------------
03-04 15:50:14 I Epoch 5 (E5_U6255_S6405120)
03-04 15:50:14 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 15:50:14 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.54935580
03-04 15:50:14 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.49345562
03-04 15:50:14 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.44281803
03-04 15:50:14 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.39770589
03-04 15:50:14 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.35895832
03-04 15:50:14 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.32757826
03-04 15:50:14 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.30537038
03-04 15:50:14 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.29628073
03-04 15:50:14 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.31132263
03-04 15:50:14 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.26585105
03-04 15:50:14 I loss/online/total: 14.74869670
03-04 15:50:47 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 15:50:48 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7118
03-04 15:50:48 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7151
03-04 15:50:48 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7192
03-04 15:50:48 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7235
03-04 15:50:48 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7273
03-04 15:50:48 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7314
03-04 15:50:48 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7351
03-04 15:50:48 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7375
03-04 15:50:49 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7358
03-04 15:50:49 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.6297
03-04 15:50:49 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.7282599806785583 --> 0.7313799858093262
03-04 15:50:49 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-04 15:50:49 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 15:50:49 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.7308200001716614 --> 0.7350800037384033
03-04 15:50:49 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default model.th
03-04 15:50:49 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 15:50:49 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.7313399910926819 --> 0.7374799847602844
03-04 15:50:49 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr003_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default model.th
03-04 15:50:49 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 15:50:49 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.7283200025558472 --> 0.7358199954032898
03-04 15:50:49 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default model.th
03-04 15:50:49 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 15:50:49 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.5964199900627136 --> 0.6297000050544739
03-04 15:50:49 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 15:50:49 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 15:50:49 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 16:05:28 I ------------------
03-04 16:05:28 I Epoch 6 (E6_U7506_S7686144)
03-04 16:05:28 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 16:05:28 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.60229872
03-04 16:05:28 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.53057024
03-04 16:05:28 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.46551781
03-04 16:05:28 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.40743671
03-04 16:05:28 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.35675892
03-04 16:05:28 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.31415060
03-04 16:05:28 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.28104848
03-04 16:05:28 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.26106169
03-04 16:05:28 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.26310940
03-04 16:05:28 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.00951526
03-04 16:05:28 I loss/online/total: 14.49146785
03-04 16:06:01 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 16:06:02 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7191
03-04 16:06:02 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7236
03-04 16:06:02 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7265
03-04 16:06:02 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7304
03-04 16:06:02 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7346
03-04 16:06:02 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7389
03-04 16:06:02 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7427
03-04 16:06:02 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7459
03-04 16:06:02 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7452
03-04 16:06:02 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.6523
03-04 16:06:02 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.7188400030136108 --> 0.7191399931907654
03-04 16:06:02 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default model.th
03-04 16:06:02 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 16:06:02 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.7204800248146057 --> 0.7235599756240845
03-04 16:06:02 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default model.th
03-04 16:06:02 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 16:06:02 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.7237600088119507 --> 0.7265400290489197
03-04 16:06:02 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr008_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default model.th
03-04 16:06:02 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 16:06:02 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.7252799868583679 --> 0.7303599715232849
03-04 16:06:02 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-04 16:06:02 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 16:06:02 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.7279000282287598 --> 0.7345600128173828
03-04 16:06:02 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-04 16:06:02 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 16:06:02 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.7313799858093262 --> 0.7388799786567688
03-04 16:06:02 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-04 16:06:02 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 16:06:02 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.7350800037384033 --> 0.742680013179779
03-04 16:06:02 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default model.th
03-04 16:06:02 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 16:06:02 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.7374799847602844 --> 0.7459200024604797
03-04 16:06:02 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr003_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default model.th
03-04 16:06:02 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 16:06:02 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.7358199954032898 --> 0.7451599836349487
03-04 16:06:02 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default model.th
03-04 16:06:02 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 16:06:02 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.6297000050544739 --> 0.6523000001907349
03-04 16:06:02 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 16:06:02 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 16:06:02 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 16:20:42 I ------------------
03-04 16:20:42 I Epoch 7 (E7_U8757_S8967168)
03-04 16:20:42 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 16:20:42 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.58689312
03-04 16:20:42 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.51293872
03-04 16:20:42 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.44570917
03-04 16:20:42 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.38543917
03-04 16:20:42 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.33275383
03-04 16:20:42 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.28824453
03-04 16:20:42 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.25295735
03-04 16:20:42 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.23016105
03-04 16:20:42 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.22776382
03-04 16:20:42 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.85892333
03-04 16:20:42 I loss/online/total: 14.12178409
03-04 16:21:15 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 16:21:16 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7195
03-04 16:21:16 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7230
03-04 16:21:16 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7262
03-04 16:21:16 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7301
03-04 16:21:16 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7339
03-04 16:21:16 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7379
03-04 16:21:16 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7407
03-04 16:21:16 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7439
03-04 16:21:16 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7469
03-04 16:21:16 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.6664
03-04 16:21:16 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.7191399931907654 --> 0.7195199728012085
03-04 16:21:16 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default model.th
03-04 16:21:16 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 16:21:16 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.7451599836349487 --> 0.7468600273132324
03-04 16:21:16 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default model.th
03-04 16:21:16 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 16:21:16 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.6523000001907349 --> 0.6664400100708008
03-04 16:21:16 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 16:21:16 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 16:21:16 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 16:35:55 I ------------------
03-04 16:35:55 I Epoch 8 (E8_U10008_S10248192)
03-04 16:35:55 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 16:35:55 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.57007769
03-04 16:35:55 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.49566698
03-04 16:35:55 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.42757640
03-04 16:35:55 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.36643956
03-04 16:35:55 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.31250508
03-04 16:35:55 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.26674780
03-04 16:35:55 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.23023958
03-04 16:35:55 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.20585578
03-04 16:35:55 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.20076530
03-04 16:35:55 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.75948458
03-04 16:35:55 I loss/online/total: 13.83535875
03-04 16:36:28 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 16:36:29 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7220
03-04 16:36:29 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7262
03-04 16:36:29 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7304
03-04 16:36:29 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7343
03-04 16:36:29 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7381
03-04 16:36:29 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7412
03-04 16:36:29 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7449
03-04 16:36:29 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7480
03-04 16:36:29 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7505
03-04 16:36:29 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.6790
03-04 16:36:29 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.7195199728012085 --> 0.722000002861023
03-04 16:36:29 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default model.th
03-04 16:36:29 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 16:36:29 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.7235599756240845 --> 0.7261999845504761
03-04 16:36:29 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default model.th
03-04 16:36:29 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 16:36:29 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.7265400290489197 --> 0.7303799986839294
03-04 16:36:29 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr008_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default model.th
03-04 16:36:29 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 16:36:29 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.7303599715232849 --> 0.7343199849128723
03-04 16:36:29 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-04 16:36:29 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 16:36:29 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.7345600128173828 --> 0.7380800247192383
03-04 16:36:29 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-04 16:36:29 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 16:36:29 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.7388799786567688 --> 0.741159975528717
03-04 16:36:29 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-04 16:36:29 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 16:36:29 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.742680013179779 --> 0.744920015335083
03-04 16:36:29 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default model.th
03-04 16:36:29 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 16:36:29 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.7459200024604797 --> 0.7480000257492065
03-04 16:36:29 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr003_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default model.th
03-04 16:36:29 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 16:36:29 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.7468600273132324 --> 0.7505000233650208
03-04 16:36:29 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default model.th
03-04 16:36:29 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 16:36:29 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.6664400100708008 --> 0.6789600253105164
03-04 16:36:29 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 16:36:29 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 16:36:29 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 16:51:09 I ------------------
03-04 16:51:09 I Epoch 9 (E9_U11259_S11529216)
03-04 16:51:09 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 16:51:09 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.54752848
03-04 16:51:09 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.47314982
03-04 16:51:09 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.40545378
03-04 16:51:09 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.34428949
03-04 16:51:09 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.29054086
03-04 16:51:09 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.24461104
03-04 16:51:09 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.20761973
03-04 16:51:09 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.18235534
03-04 16:51:09 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.17562083
03-04 16:51:09 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.68446095
03-04 16:51:09 I loss/online/total: 13.55563032
03-04 16:51:42 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 16:51:43 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7219
03-04 16:51:43 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7262
03-04 16:51:43 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7304
03-04 16:51:43 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7342
03-04 16:51:43 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7383
03-04 16:51:43 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7427
03-04 16:51:43 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7476
03-04 16:51:43 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7515
03-04 16:51:43 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7523
03-04 16:51:43 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.6867
03-04 16:51:43 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.7380800247192383 --> 0.738319993019104
03-04 16:51:43 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-04 16:51:43 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 16:51:43 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.741159975528717 --> 0.7426999807357788
03-04 16:51:43 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-04 16:51:43 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 16:51:43 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.744920015335083 --> 0.7476199865341187
03-04 16:51:43 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default model.th
03-04 16:51:43 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 16:51:43 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.7480000257492065 --> 0.7514600157737732
03-04 16:51:43 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr003_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default model.th
03-04 16:51:43 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 16:51:43 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.7505000233650208 --> 0.7523000240325928
03-04 16:51:43 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default model.th
03-04 16:51:43 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 16:51:43 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.6789600253105164 --> 0.686739981174469
03-04 16:51:43 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 16:51:43 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 16:51:43 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 17:06:22 I ------------------
03-04 17:06:22 I Epoch 10 (E10_U12510_S12810240)
03-04 17:06:22 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 17:06:22 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.53284955
03-04 17:06:22 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.45878409
03-04 17:06:22 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.39113792
03-04 17:06:22 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.33008165
03-04 17:06:22 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.27627184
03-04 17:06:22 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.23027317
03-04 17:06:22 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.19324629
03-04 17:06:22 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.16754318
03-04 17:06:22 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.15949909
03-04 17:06:22 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.63079226
03-04 17:06:22 I loss/online/total: 13.37047903
03-04 17:06:55 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 17:06:56 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7233
03-04 17:06:56 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7278
03-04 17:06:56 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7313
03-04 17:06:56 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7360
03-04 17:06:56 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7400
03-04 17:06:56 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7445
03-04 17:06:56 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7483
03-04 17:06:56 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7522
03-04 17:06:56 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7551
03-04 17:06:56 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.6931
03-04 17:06:56 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.722000002861023 --> 0.7233399748802185
03-04 17:06:56 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default model.th
03-04 17:06:56 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 17:06:56 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.7261999845504761 --> 0.727840006351471
03-04 17:06:56 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default model.th
03-04 17:06:56 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 17:06:56 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.7303799986839294 --> 0.7312999963760376
03-04 17:06:56 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr008_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default model.th
03-04 17:06:56 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 17:06:56 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.7343199849128723 --> 0.7359799742698669
03-04 17:06:56 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-04 17:06:56 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 17:06:56 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.738319993019104 --> 0.7399600148200989
03-04 17:06:56 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-04 17:06:56 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 17:06:56 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.7426999807357788 --> 0.7445200085639954
03-04 17:06:56 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-04 17:06:56 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 17:06:56 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.7476199865341187 --> 0.7482600212097168
03-04 17:06:56 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default model.th
03-04 17:06:56 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 17:06:56 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.7514600157737732 --> 0.7521799802780151
03-04 17:06:56 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr003_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default model.th
03-04 17:06:56 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 17:06:56 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.7523000240325928 --> 0.755079984664917
03-04 17:06:56 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default model.th
03-04 17:06:56 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 17:06:56 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.686739981174469 --> 0.6931399703025818
03-04 17:06:56 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 17:06:56 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 17:06:56 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 17:21:36 I ------------------
03-04 17:21:36 I Epoch 11 (E11_U13761_S14091264)
03-04 17:21:36 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 17:21:36 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.51648934
03-04 17:21:36 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.44337897
03-04 17:21:36 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.37642544
03-04 17:21:36 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.31613199
03-04 17:21:36 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.26264255
03-04 17:21:36 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.21668169
03-04 17:21:36 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.17929822
03-04 17:21:36 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.15309190
03-04 17:21:36 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.14409901
03-04 17:21:36 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.58635039
03-04 17:21:36 I loss/online/total: 13.19458950
03-04 17:22:09 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 17:22:10 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7261
03-04 17:22:10 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7300
03-04 17:22:10 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7329
03-04 17:22:10 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7375
03-04 17:22:10 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7413
03-04 17:22:10 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7461
03-04 17:22:10 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7489
03-04 17:22:10 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7527
03-04 17:22:10 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7551
03-04 17:22:10 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.6988
03-04 17:22:10 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.7233399748802185 --> 0.7261000275611877
03-04 17:22:10 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default model.th
03-04 17:22:10 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 17:22:10 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.727840006351471 --> 0.729960024356842
03-04 17:22:10 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default model.th
03-04 17:22:10 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 17:22:10 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.7312999963760376 --> 0.7328600287437439
03-04 17:22:10 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr008_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default model.th
03-04 17:22:10 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 17:22:10 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.7359799742698669 --> 0.7374799847602844
03-04 17:22:10 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-04 17:22:10 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 17:22:10 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.7399600148200989 --> 0.7413399815559387
03-04 17:22:10 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-04 17:22:10 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 17:22:10 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.7445200085639954 --> 0.7461000084877014
03-04 17:22:10 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-04 17:22:10 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 17:22:10 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.7482600212097168 --> 0.7489200234413147
03-04 17:22:10 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default model.th
03-04 17:22:10 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 17:22:10 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.7521799802780151 --> 0.7526999711990356
03-04 17:22:10 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr003_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default model.th
03-04 17:22:10 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 17:22:10 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.755079984664917 --> 0.7551199793815613
03-04 17:22:10 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default model.th
03-04 17:22:10 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 17:22:10 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.6931399703025818 --> 0.6988199949264526
03-04 17:22:10 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 17:22:10 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 17:22:10 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 17:36:50 I ------------------
03-04 17:36:50 I Epoch 12 (E12_U15012_S15372288)
03-04 17:36:50 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 17:36:50 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.49668716
03-04 17:36:50 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.42504484
03-04 17:36:50 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.35960365
03-04 17:36:50 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.30062138
03-04 17:36:50 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.24841689
03-04 17:36:50 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.20351937
03-04 17:36:50 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.16698162
03-04 17:36:50 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.14115041
03-04 17:36:50 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.13191754
03-04 17:36:50 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.55184135
03-04 17:36:50 I loss/online/total: 13.02578421
03-04 17:37:23 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 17:37:24 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7261
03-04 17:37:24 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7297
03-04 17:37:24 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7336
03-04 17:37:24 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7377
03-04 17:37:24 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7422
03-04 17:37:24 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7475
03-04 17:37:24 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7516
03-04 17:37:24 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7548
03-04 17:37:24 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7565
03-04 17:37:24 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7034
03-04 17:37:24 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.7328600287437439 --> 0.7336199879646301
03-04 17:37:24 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr008_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default model.th
03-04 17:37:24 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 17:37:24 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.7374799847602844 --> 0.7376999855041504
03-04 17:37:24 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-04 17:37:24 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 17:37:24 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.7413399815559387 --> 0.7422199845314026
03-04 17:37:24 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-04 17:37:24 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 17:37:24 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.7461000084877014 --> 0.7474799752235413
03-04 17:37:24 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-04 17:37:24 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 17:37:24 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.7489200234413147 --> 0.751579999923706
03-04 17:37:24 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default model.th
03-04 17:37:24 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 17:37:24 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.7526999711990356 --> 0.7548400163650513
03-04 17:37:24 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr003_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default model.th
03-04 17:37:24 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 17:37:24 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.7551199793815613 --> 0.7564799785614014
03-04 17:37:24 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default model.th
03-04 17:37:24 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 17:37:24 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.6988199949264526 --> 0.7033600211143494
03-04 17:37:24 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 17:37:24 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 17:37:24 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 17:52:04 I ------------------
03-04 17:52:04 I Epoch 13 (E13_U16263_S16653312)
03-04 17:52:04 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 17:52:04 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.48243773
03-04 17:52:04 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.41186606
03-04 17:52:04 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.34745886
03-04 17:52:04 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.28935653
03-04 17:52:04 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.23780733
03-04 17:52:04 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.19348156
03-04 17:52:04 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.15740896
03-04 17:52:04 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.13193667
03-04 17:52:04 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.12267391
03-04 17:52:04 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.52438904
03-04 17:52:04 I loss/online/total: 12.89881663
03-04 17:52:37 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 17:52:37 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7301
03-04 17:52:37 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7336
03-04 17:52:37 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7369
03-04 17:52:37 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7400
03-04 17:52:37 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7436
03-04 17:52:37 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7467
03-04 17:52:38 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7508
03-04 17:52:38 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7545
03-04 17:52:38 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7567
03-04 17:52:38 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7080
03-04 17:52:38 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.7261000275611877 --> 0.7300800085067749
03-04 17:52:38 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default model.th
03-04 17:52:38 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 17:52:38 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.729960024356842 --> 0.7335799932479858
03-04 17:52:38 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default model.th
03-04 17:52:38 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 17:52:38 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.7336199879646301 --> 0.7368800044059753
03-04 17:52:38 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr008_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default model.th
03-04 17:52:38 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 17:52:38 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.7376999855041504 --> 0.7400000095367432
03-04 17:52:38 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-04 17:52:38 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 17:52:38 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.7422199845314026 --> 0.7435600161552429
03-04 17:52:38 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-04 17:52:38 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 17:52:38 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.7564799785614014 --> 0.7566999793052673
03-04 17:52:38 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default model.th
03-04 17:52:38 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 17:52:38 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.7033600211143494 --> 0.7079600095748901
03-04 17:52:38 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 17:52:38 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 17:52:38 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 18:07:17 I ------------------
03-04 18:07:17 I Epoch 14 (E14_U17514_S17934336)
03-04 18:07:17 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 18:07:17 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.46492812
03-04 18:07:17 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.39595456
03-04 18:07:17 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.33306228
03-04 18:07:17 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.27632047
03-04 18:07:17 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.22596802
03-04 18:07:17 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.18253744
03-04 18:07:17 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.14704584
03-04 18:07:17 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.12184879
03-04 18:07:17 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.11242309
03-04 18:07:17 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.49971489
03-04 18:07:17 I loss/online/total: 12.75980350
03-04 18:07:50 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 18:07:51 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7280
03-04 18:07:51 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7315
03-04 18:07:51 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7348
03-04 18:07:51 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7392
03-04 18:07:51 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7438
03-04 18:07:51 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7472
03-04 18:07:51 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7515
03-04 18:07:51 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7550
03-04 18:07:51 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7585
03-04 18:07:51 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7102
03-04 18:07:51 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.7435600161552429 --> 0.7438200116157532
03-04 18:07:51 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-04 18:07:51 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 18:07:51 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.7548400163650513 --> 0.7549800276756287
03-04 18:07:51 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr003_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default model.th
03-04 18:07:51 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 18:07:51 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.7566999793052673 --> 0.7585399746894836
03-04 18:07:51 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default model.th
03-04 18:07:51 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 18:07:51 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.7079600095748901 --> 0.7102000117301941
03-04 18:07:51 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 18:07:51 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 18:07:51 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 18:22:31 I ------------------
03-04 18:22:31 I Epoch 15 (E15_U18765_S19215360)
03-04 18:22:31 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 18:22:31 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.44299333
03-04 18:22:31 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.37661616
03-04 18:22:31 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.31583726
03-04 18:22:31 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.26100907
03-04 18:22:31 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.21243930
03-04 18:22:31 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.17058240
03-04 18:22:31 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.13650297
03-04 18:22:31 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.11212875
03-04 18:22:31 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.10306942
03-04 18:22:31 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.47661751
03-04 18:22:31 I loss/online/total: 12.60779618
03-04 18:23:04 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 18:23:05 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7302
03-04 18:23:05 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7342
03-04 18:23:05 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7384
03-04 18:23:05 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7422
03-04 18:23:05 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7459
03-04 18:23:05 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7490
03-04 18:23:05 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7522
03-04 18:23:05 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7560
03-04 18:23:05 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7596
03-04 18:23:05 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7136
03-04 18:23:05 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.7300800085067749 --> 0.730239987373352
03-04 18:23:05 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default model.th
03-04 18:23:05 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 18:23:05 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.7335799932479858 --> 0.734220027923584
03-04 18:23:05 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default model.th
03-04 18:23:05 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 18:23:05 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.7368800044059753 --> 0.7383999824523926
03-04 18:23:05 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr008_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default model.th
03-04 18:23:05 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 18:23:05 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.7400000095367432 --> 0.7422199845314026
03-04 18:23:05 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-04 18:23:05 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 18:23:05 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.7438200116157532 --> 0.7459200024604797
03-04 18:23:05 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-04 18:23:05 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 18:23:05 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.7474799752235413 --> 0.7490000128746033
03-04 18:23:05 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-04 18:23:05 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 18:23:05 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.751579999923706 --> 0.752240002155304
03-04 18:23:05 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default model.th
03-04 18:23:05 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 18:23:05 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.7549800276756287 --> 0.7559599876403809
03-04 18:23:05 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr003_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default model.th
03-04 18:23:05 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 18:23:05 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.7585399746894836 --> 0.7595800161361694
03-04 18:23:05 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default model.th
03-04 18:23:05 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 18:23:05 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.7102000117301941 --> 0.7136399745941162
03-04 18:23:05 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 18:23:05 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 18:23:05 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 18:37:45 I ------------------
03-04 18:37:45 I Epoch 16 (E16_U20016_S20496384)
03-04 18:37:45 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 18:37:45 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.42194743
03-04 18:37:45 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.35798122
03-04 18:37:45 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.29930135
03-04 18:37:45 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.24648218
03-04 18:37:45 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.19971462
03-04 18:37:45 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.15946896
03-04 18:37:45 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.12652784
03-04 18:37:45 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.10308631
03-04 18:37:45 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.09466187
03-04 18:37:45 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.45754523
03-04 18:37:45 I loss/online/total: 12.46671701
03-04 18:38:18 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 18:38:19 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7308
03-04 18:38:19 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7343
03-04 18:38:19 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7376
03-04 18:38:19 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7411
03-04 18:38:19 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7449
03-04 18:38:19 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7482
03-04 18:38:19 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7533
03-04 18:38:19 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7571
03-04 18:38:19 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7602
03-04 18:38:19 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7160
03-04 18:38:19 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.730239987373352 --> 0.7307599782943726
03-04 18:38:19 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default model.th
03-04 18:38:19 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 18:38:19 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.734220027923584 --> 0.7343400120735168
03-04 18:38:19 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default model.th
03-04 18:38:19 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 18:38:19 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.752240002155304 --> 0.753279983997345
03-04 18:38:19 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default model.th
03-04 18:38:19 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 18:38:19 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.7559599876403809 --> 0.7571200132369995
03-04 18:38:19 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr003_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default model.th
03-04 18:38:19 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 18:38:19 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.7595800161361694 --> 0.7601600289344788
03-04 18:38:19 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default model.th
03-04 18:38:19 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 18:38:19 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.7136399745941162 --> 0.7160400152206421
03-04 18:38:19 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 18:38:19 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 18:38:19 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 18:52:58 I ------------------
03-04 18:52:58 I Epoch 17 (E17_U21267_S21777408)
03-04 18:52:58 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 18:52:58 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.40144793
03-04 18:52:58 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.33977474
03-04 18:52:58 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.28350163
03-04 18:52:58 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.23264678
03-04 18:52:58 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.18767377
03-04 18:52:58 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.14874158
03-04 18:52:58 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.11691161
03-04 18:52:58 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.09424109
03-04 18:52:58 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.08616850
03-04 18:52:58 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.44187578
03-04 18:52:58 I loss/online/total: 12.33298342
03-04 18:53:31 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 18:53:32 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7308
03-04 18:53:32 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7351
03-04 18:53:32 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7384
03-04 18:53:32 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7422
03-04 18:53:32 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7456
03-04 18:53:32 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7490
03-04 18:53:32 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7532
03-04 18:53:32 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7571
03-04 18:53:32 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7605
03-04 18:53:32 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7178
03-04 18:53:32 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.7307599782943726 --> 0.7308200001716614
03-04 18:53:32 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default model.th
03-04 18:53:32 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 18:53:32 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.7343400120735168 --> 0.7350599765777588
03-04 18:53:32 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default model.th
03-04 18:53:32 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 18:53:32 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.7490000128746033 --> 0.7490400075912476
03-04 18:53:32 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-04 18:53:32 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 18:53:32 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.7601600289344788 --> 0.7605400085449219
03-04 18:53:32 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default model.th
03-04 18:53:32 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 18:53:32 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.7160400152206421 --> 0.7178000211715698
03-04 18:53:32 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 18:53:32 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 18:53:32 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 19:08:12 I ------------------
03-04 19:08:12 I Epoch 18 (E18_U22518_S23058432)
03-04 19:08:12 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 19:08:12 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.37578083
03-04 19:08:12 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.31711437
03-04 19:08:12 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.26365948
03-04 19:08:12 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.21538486
03-04 19:08:12 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.17263759
03-04 19:08:12 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.13584614
03-04 19:08:12 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.10588727
03-04 19:08:12 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.08486979
03-04 19:08:12 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.07794111
03-04 19:08:12 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.42610789
03-04 19:08:12 I loss/online/total: 12.17522933
03-04 19:08:44 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 19:08:45 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7382
03-04 19:08:45 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7415
03-04 19:08:45 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7443
03-04 19:08:45 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7476
03-04 19:08:45 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7510
03-04 19:08:45 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7546
03-04 19:08:45 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7577
03-04 19:08:45 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7609
03-04 19:08:45 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7624
03-04 19:08:45 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7196
03-04 19:08:46 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.7308200001716614 --> 0.7381799817085266
03-04 19:08:46 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default model.th
03-04 19:08:46 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 19:08:46 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.7350599765777588 --> 0.7415400147438049
03-04 19:08:46 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default model.th
03-04 19:08:46 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 19:08:46 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.7383999824523926 --> 0.7443000078201294
03-04 19:08:46 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr008_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default model.th
03-04 19:08:46 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 19:08:46 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.7422199845314026 --> 0.7475600242614746
03-04 19:08:46 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-04 19:08:46 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 19:08:46 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.7459200024604797 --> 0.750980019569397
03-04 19:08:46 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-04 19:08:46 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 19:08:46 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.7490400075912476 --> 0.754580020904541
03-04 19:08:46 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-04 19:08:46 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 19:08:46 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.753279983997345 --> 0.7577400207519531
03-04 19:08:46 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default model.th
03-04 19:08:46 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 19:08:46 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.7571200132369995 --> 0.760919988155365
03-04 19:08:46 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr003_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default model.th
03-04 19:08:46 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 19:08:46 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.7605400085449219 --> 0.762440025806427
03-04 19:08:46 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default model.th
03-04 19:08:46 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 19:08:46 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.7178000211715698 --> 0.7195799946784973
03-04 19:08:46 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 19:08:46 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 19:08:46 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 19:23:26 I ------------------
03-04 19:23:26 I Epoch 19 (E19_U23769_S24339456)
03-04 19:23:26 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 19:23:26 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.35409924
03-04 19:23:26 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.29831324
03-04 19:23:26 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.24711359
03-04 19:23:26 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.20090309
03-04 19:23:26 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.16005729
03-04 19:23:26 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.12480482
03-04 19:23:26 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.09614037
03-04 19:23:26 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.07610383
03-04 19:23:26 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.06982918
03-04 19:23:26 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.41212983
03-04 19:23:26 I loss/online/total: 12.03949448
03-04 19:23:59 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 19:24:00 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7378
03-04 19:24:00 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7408
03-04 19:24:00 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7438
03-04 19:24:00 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7478
03-04 19:24:00 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7512
03-04 19:24:00 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7546
03-04 19:24:00 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7575
03-04 19:24:00 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7609
03-04 19:24:00 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7628
03-04 19:24:00 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7217
03-04 19:24:00 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.7475600242614746 --> 0.7477999925613403
03-04 19:24:00 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-04 19:24:00 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 19:24:00 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.750980019569397 --> 0.7512000203132629
03-04 19:24:00 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-04 19:24:00 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 19:24:00 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.754580020904541 --> 0.7545999884605408
03-04 19:24:00 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-04 19:24:00 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 19:24:00 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.762440025806427 --> 0.7627599835395813
03-04 19:24:00 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default model.th
03-04 19:24:00 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 19:24:00 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.7195799946784973 --> 0.7217199802398682
03-04 19:24:00 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 19:24:00 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 19:24:00 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 19:38:40 I ------------------
03-04 19:38:40 I Epoch 20 (E20_U25020_S25620480)
03-04 19:38:40 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 19:38:40 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.33288688
03-04 19:38:40 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.28000622
03-04 19:38:40 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.23154733
03-04 19:38:40 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.18799668
03-04 19:38:40 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.14935509
03-04 19:38:40 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.11615504
03-04 19:38:40 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.08924713
03-04 19:38:40 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.07054709
03-04 19:38:40 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.06534694
03-04 19:38:40 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.40210021
03-04 19:38:40 I loss/online/total: 11.92518864
03-04 19:39:13 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 19:39:14 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7366
03-04 19:39:14 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7396
03-04 19:39:14 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7436
03-04 19:39:14 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7469
03-04 19:39:14 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7497
03-04 19:39:14 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7523
03-04 19:39:14 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7551
03-04 19:39:14 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7593
03-04 19:39:14 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7615
03-04 19:39:14 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7231
03-04 19:39:14 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.7217199802398682 --> 0.7230600118637085
03-04 19:39:14 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 19:39:14 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 19:39:14 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 19:53:54 I ------------------
03-04 19:53:54 I Epoch 21 (E21_U26271_S26901504)
03-04 19:53:54 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 19:53:54 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.30702620
03-04 19:53:54 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.25711451
03-04 19:53:54 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.21150108
03-04 19:53:54 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.17033502
03-04 19:53:54 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.13387393
03-04 19:53:54 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.10255055
03-04 19:53:54 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.07718606
03-04 19:53:54 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.05996903
03-04 19:53:54 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.05597071
03-04 19:53:54 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.39045952
03-04 19:53:54 I loss/online/total: 11.76598661
03-04 19:54:27 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 19:54:28 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7415
03-04 19:54:28 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7435
03-04 19:54:28 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7461
03-04 19:54:28 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7489
03-04 19:54:28 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7521
03-04 19:54:28 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7564
03-04 19:54:28 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7588
03-04 19:54:28 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7619
03-04 19:54:28 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7648
03-04 19:54:28 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7246
03-04 19:54:28 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.7381799817085266 --> 0.7415199875831604
03-04 19:54:28 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default model.th
03-04 19:54:28 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 19:54:28 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.7415400147438049 --> 0.7434599995613098
03-04 19:54:28 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default model.th
03-04 19:54:28 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 19:54:28 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.7443000078201294 --> 0.7461400032043457
03-04 19:54:28 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr008_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default model.th
03-04 19:54:28 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 19:54:28 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.7477999925613403 --> 0.7488600015640259
03-04 19:54:28 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-04 19:54:28 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 19:54:28 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.7512000203132629 --> 0.7520800232887268
03-04 19:54:28 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-04 19:54:28 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 19:54:28 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.7545999884605408 --> 0.7563599944114685
03-04 19:54:28 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-04 19:54:28 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 19:54:28 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.7577400207519531 --> 0.758840024471283
03-04 19:54:28 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default model.th
03-04 19:54:28 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 19:54:28 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.760919988155365 --> 0.7618799805641174
03-04 19:54:28 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr003_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default model.th
03-04 19:54:28 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 19:54:28 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.7627599835395813 --> 0.7647799849510193
03-04 19:54:28 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default model.th
03-04 19:54:28 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 19:54:28 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.7230600118637085 --> 0.7246400117874146
03-04 19:54:28 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 19:54:28 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 19:54:28 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 20:09:07 I ------------------
03-04 20:09:07 I Epoch 22 (E22_U27522_S28182528)
03-04 20:09:07 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 20:09:07 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.28488370
03-04 20:09:07 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.23813950
03-04 20:09:07 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.19552064
03-04 20:09:07 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.15702235
03-04 20:09:07 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.12293682
03-04 20:09:07 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.09361489
03-04 20:09:07 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.07008534
03-04 20:09:07 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.05429881
03-04 20:09:07 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.05131135
03-04 20:09:07 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.38050938
03-04 20:09:07 I loss/online/total: 11.64832277
03-04 20:09:40 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 20:09:41 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7391
03-04 20:09:41 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7423
03-04 20:09:41 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7453
03-04 20:09:41 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7486
03-04 20:09:41 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7517
03-04 20:09:41 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7548
03-04 20:09:41 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7585
03-04 20:09:41 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7618
03-04 20:09:41 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7636
03-04 20:09:41 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7258
03-04 20:09:41 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.7246400117874146 --> 0.7258399724960327
03-04 20:09:41 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 20:09:41 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 20:09:41 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 20:24:21 I ------------------
03-04 20:24:21 I Epoch 23 (E23_U28773_S29463552)
03-04 20:24:21 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 20:24:21 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.26188789
03-04 20:24:21 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.21815937
03-04 20:24:21 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.17832022
03-04 20:24:21 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.14236166
03-04 20:24:21 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.11058309
03-04 20:24:21 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.08331449
03-04 20:24:21 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.06157172
03-04 20:24:21 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.04725242
03-04 20:24:21 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.04532888
03-04 20:24:21 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.37246405
03-04 20:24:21 I loss/online/total: 11.52124378
03-04 20:24:54 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 20:24:55 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7405
03-04 20:24:55 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7427
03-04 20:24:55 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7460
03-04 20:24:55 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7495
03-04 20:24:55 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7529
03-04 20:24:55 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7563
03-04 20:24:55 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7591
03-04 20:24:55 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7631
03-04 20:24:55 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7651
03-04 20:24:55 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7272
03-04 20:24:55 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.7488600015640259 --> 0.7494800090789795
03-04 20:24:55 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-04 20:24:55 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 20:24:55 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.7520800232887268 --> 0.7529000043869019
03-04 20:24:55 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-04 20:24:55 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 20:24:55 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.758840024471283 --> 0.7590600252151489
03-04 20:24:55 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default model.th
03-04 20:24:55 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 20:24:55 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.7618799805641174 --> 0.7630800008773804
03-04 20:24:55 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr003_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default model.th
03-04 20:24:55 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 20:24:55 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.7647799849510193 --> 0.7651200294494629
03-04 20:24:55 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default model.th
03-04 20:24:55 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 20:24:55 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.7258399724960327 --> 0.7272199988365173
03-04 20:24:55 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 20:24:55 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 20:24:55 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 20:39:34 I ------------------
03-04 20:39:34 I Epoch 24 (E24_U30024_S30744576)
03-04 20:39:34 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 20:39:34 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.24022133
03-04 20:39:34 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.19952709
03-04 20:39:34 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.16241261
03-04 20:39:34 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.12899389
03-04 20:39:34 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.09942809
03-04 20:39:34 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.07427139
03-04 20:39:34 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.05432764
03-04 20:39:34 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.04155887
03-04 20:39:34 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.04105892
03-04 20:39:34 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.36643810
03-04 20:39:34 I loss/online/total: 11.40823793
03-04 20:40:07 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 20:40:08 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7423
03-04 20:40:08 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7448
03-04 20:40:08 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7480
03-04 20:40:08 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7513
03-04 20:40:08 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7540
03-04 20:40:08 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7575
03-04 20:40:08 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7601
03-04 20:40:08 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7630
03-04 20:40:08 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7644
03-04 20:40:08 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7283
03-04 20:40:08 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.7415199875831604 --> 0.7423400282859802
03-04 20:40:08 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default model.th
03-04 20:40:08 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 20:40:08 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.7434599995613098 --> 0.7447800040245056
03-04 20:40:08 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default model.th
03-04 20:40:08 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 20:40:08 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.7461400032043457 --> 0.7480199933052063
03-04 20:40:08 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr008_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default model.th
03-04 20:40:08 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 20:40:08 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.7494800090789795 --> 0.7513200044631958
03-04 20:40:08 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-04 20:40:08 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 20:40:08 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.7529000043869019 --> 0.7540199756622314
03-04 20:40:08 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-04 20:40:08 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 20:40:08 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.7563599944114685 --> 0.7574800252914429
03-04 20:40:08 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-04 20:40:08 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 20:40:08 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.7590600252151489 --> 0.7601199746131897
03-04 20:40:08 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default model.th
03-04 20:40:08 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 20:40:08 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.7272199988365173 --> 0.7282999753952026
03-04 20:40:08 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 20:40:08 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 20:40:08 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 20:54:48 I ------------------
03-04 20:54:48 I Epoch 25 (E25_U31275_S32025600)
03-04 20:54:48 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 20:54:48 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.21682569
03-04 20:54:48 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.17932312
03-04 20:54:48 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.14506566
03-04 20:54:48 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.11416990
03-04 20:54:48 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.08696680
03-04 20:54:48 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.06380665
03-04 20:54:48 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.04558277
03-04 20:54:48 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.03425055
03-04 20:54:48 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.03490096
03-04 20:54:48 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.35844945
03-04 20:54:48 I loss/online/total: 11.27934157
03-04 20:55:21 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 20:55:22 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7451
03-04 20:55:22 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7472
03-04 20:55:22 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7495
03-04 20:55:22 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7521
03-04 20:55:22 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7542
03-04 20:55:22 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7579
03-04 20:55:22 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7603
03-04 20:55:22 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7636
03-04 20:55:22 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7655
03-04 20:55:22 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7295
03-04 20:55:22 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.7423400282859802 --> 0.7450600266456604
03-04 20:55:22 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default model.th
03-04 20:55:22 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 20:55:22 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.7447800040245056 --> 0.747219979763031
03-04 20:55:22 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default model.th
03-04 20:55:22 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 20:55:22 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.7480199933052063 --> 0.749459981918335
03-04 20:55:22 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr008_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default model.th
03-04 20:55:22 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 20:55:22 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.7513200044631958 --> 0.7521200180053711
03-04 20:55:22 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-04 20:55:22 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 20:55:22 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.7540199756622314 --> 0.7541999816894531
03-04 20:55:22 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-04 20:55:22 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 20:55:22 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.7574800252914429 --> 0.7578999996185303
03-04 20:55:22 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-04 20:55:22 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 20:55:22 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.7601199746131897 --> 0.7603200078010559
03-04 20:55:22 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default model.th
03-04 20:55:22 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 20:55:22 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.7630800008773804 --> 0.7635599970817566
03-04 20:55:22 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr003_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default model.th
03-04 20:55:22 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 20:55:22 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.7651200294494629 --> 0.7654799818992615
03-04 20:55:22 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default model.th
03-04 20:55:22 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 20:55:22 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.7282999753952026 --> 0.7294800281524658
03-04 20:55:22 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 20:55:22 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 20:55:22 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 21:10:02 I ------------------
03-04 21:10:02 I Epoch 26 (E26_U32526_S33306624)
03-04 21:10:02 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 21:10:02 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.19402938
03-04 21:10:02 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.15946956
03-04 21:10:02 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.12807817
03-04 21:10:02 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.09976394
03-04 21:10:02 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.07487177
03-04 21:10:02 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.05384154
03-04 21:10:02 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.03743941
03-04 21:10:02 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.02780439
03-04 21:10:02 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.02971956
03-04 21:10:02 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.35180865
03-04 21:10:02 I loss/online/total: 11.15682636
03-04 21:10:35 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 21:10:36 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7475
03-04 21:10:36 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7493
03-04 21:10:36 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7517
03-04 21:10:36 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7541
03-04 21:10:36 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7564
03-04 21:10:36 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7589
03-04 21:10:36 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7616
03-04 21:10:36 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7634
03-04 21:10:36 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7652
03-04 21:10:36 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7301
03-04 21:10:36 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.7450600266456604 --> 0.7474799752235413
03-04 21:10:36 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default model.th
03-04 21:10:36 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 21:10:36 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.747219979763031 --> 0.7492799758911133
03-04 21:10:36 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default model.th
03-04 21:10:36 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 21:10:36 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.749459981918335 --> 0.7517399787902832
03-04 21:10:36 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr008_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default model.th
03-04 21:10:36 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 21:10:36 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.7521200180053711 --> 0.7541000247001648
03-04 21:10:36 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-04 21:10:36 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 21:10:36 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.7541999816894531 --> 0.756380021572113
03-04 21:10:36 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-04 21:10:36 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 21:10:36 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.7578999996185303 --> 0.758899986743927
03-04 21:10:36 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-04 21:10:36 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 21:10:36 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.7603200078010559 --> 0.7616400122642517
03-04 21:10:36 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default model.th
03-04 21:10:36 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 21:10:36 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.7294800281524658 --> 0.7300599813461304
03-04 21:10:36 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 21:10:36 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 21:10:36 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 21:25:16 I ------------------
03-04 21:25:16 I Epoch 27 (E27_U33777_S34587648)
03-04 21:25:16 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 21:25:16 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.17418515
03-04 21:25:16 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.14261669
03-04 21:25:16 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.11376345
03-04 21:25:16 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.08785039
03-04 21:25:16 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.06515812
03-04 21:25:16 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.04603543
03-04 21:25:16 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.03143618
03-04 21:25:16 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.02334376
03-04 21:25:16 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.02675979
03-04 21:25:16 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.34859860
03-04 21:25:16 I loss/online/total: 11.05974757
03-04 21:25:48 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 21:25:49 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7488
03-04 21:25:49 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7509
03-04 21:25:49 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7530
03-04 21:25:49 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7555
03-04 21:25:49 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7579
03-04 21:25:49 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7592
03-04 21:25:49 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7621
03-04 21:25:49 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7643
03-04 21:25:49 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7661
03-04 21:25:49 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7305
03-04 21:25:49 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.7474799752235413 --> 0.7487999796867371
03-04 21:25:49 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default model.th
03-04 21:25:49 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 21:25:49 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.7492799758911133 --> 0.7508800029754639
03-04 21:25:49 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default model.th
03-04 21:25:49 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 21:25:49 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.7517399787902832 --> 0.753000020980835
03-04 21:25:49 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr008_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default model.th
03-04 21:25:49 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 21:25:49 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.7541000247001648 --> 0.7554600238800049
03-04 21:25:50 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-04 21:25:50 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 21:25:50 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.756380021572113 --> 0.7579399943351746
03-04 21:25:50 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-04 21:25:50 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 21:25:50 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.758899986743927 --> 0.7592200040817261
03-04 21:25:50 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-04 21:25:50 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 21:25:50 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.7616400122642517 --> 0.7621200084686279
03-04 21:25:50 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default model.th
03-04 21:25:50 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 21:25:50 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.7635599970817566 --> 0.7643399834632874
03-04 21:25:50 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr003_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default model.th
03-04 21:25:50 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 21:25:50 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.7654799818992615 --> 0.7660999894142151
03-04 21:25:50 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default model.th
03-04 21:25:50 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 21:25:50 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.7300599813461304 --> 0.730459988117218
03-04 21:25:50 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 21:25:50 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 21:25:50 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 21:40:28 I ------------------
03-04 21:40:28 I Epoch 28 (E28_U35028_S35868672)
03-04 21:40:28 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 21:40:28 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.14872700
03-04 21:40:28 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.12022238
03-04 21:40:28 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.09432399
03-04 21:40:28 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.07101569
03-04 21:40:28 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.05073672
03-04 21:40:28 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.03366689
03-04 21:40:28 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.02085130
03-04 21:40:28 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.01431219
03-04 21:40:28 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.01899839
03-04 21:40:28 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.34044826
03-04 21:40:28 I loss/online/total: 10.91330282
03-04 21:41:01 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 21:41:02 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7487
03-04 21:41:02 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7507
03-04 21:41:02 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7531
03-04 21:41:02 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7557
03-04 21:41:02 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7585
03-04 21:41:02 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7606
03-04 21:41:02 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7625
03-04 21:41:02 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7646
03-04 21:41:02 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7664
03-04 21:41:02 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7313
03-04 21:41:02 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.753000020980835 --> 0.7531200051307678
03-04 21:41:02 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr008_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default model.th
03-04 21:41:02 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 21:41:02 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.7554600238800049 --> 0.7557399868965149
03-04 21:41:02 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-04 21:41:02 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 21:41:02 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.7579399943351746 --> 0.7584800124168396
03-04 21:41:02 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-04 21:41:02 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 21:41:02 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.7592200040817261 --> 0.760640025138855
03-04 21:41:02 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-04 21:41:02 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 21:41:02 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.7621200084686279 --> 0.7625399827957153
03-04 21:41:02 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default model.th
03-04 21:41:02 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 21:41:02 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.7643399834632874 --> 0.7646200060844421
03-04 21:41:02 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr003_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default model.th
03-04 21:41:02 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 21:41:02 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.7660999894142151 --> 0.7663599848747253
03-04 21:41:02 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default model.th
03-04 21:41:02 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 21:41:02 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.730459988117218 --> 0.7313200235366821
03-04 21:41:02 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 21:41:02 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 21:41:02 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 21:55:42 I ------------------
03-04 21:55:42 I Epoch 29 (E29_U36279_S37149696)
03-04 21:55:42 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 21:55:42 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.12790854
03-04 21:55:42 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.10204276
03-04 21:55:42 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.07852592
03-04 21:55:42 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.05749484
03-04 21:55:42 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.03927924
03-04 21:55:42 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.02423334
03-04 21:55:42 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.01320582
03-04 21:55:42 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.00833390
03-04 21:55:42 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.01451786
03-04 21:55:42 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.33621405
03-04 21:55:42 I loss/online/total: 10.80175629
03-04 21:56:15 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 21:56:16 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7504
03-04 21:56:16 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7526
03-04 21:56:16 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7550
03-04 21:56:16 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7576
03-04 21:56:16 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7602
03-04 21:56:16 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7622
03-04 21:56:16 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7643
03-04 21:56:16 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7666
03-04 21:56:16 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7677
03-04 21:56:16 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7316
03-04 21:56:16 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.7487999796867371 --> 0.7503799796104431
03-04 21:56:16 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default model.th
03-04 21:56:16 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 21:56:16 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.7508800029754639 --> 0.7526199817657471
03-04 21:56:16 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default model.th
03-04 21:56:16 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 21:56:16 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.7531200051307678 --> 0.7549600005149841
03-04 21:56:16 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr008_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default model.th
03-04 21:56:16 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 21:56:16 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.7557399868965149 --> 0.7576199769973755
03-04 21:56:16 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-04 21:56:16 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 21:56:16 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.7584800124168396 --> 0.7601799964904785
03-04 21:56:16 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-04 21:56:16 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 21:56:16 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.760640025138855 --> 0.7622399926185608
03-04 21:56:16 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-04 21:56:16 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 21:56:16 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.7625399827957153 --> 0.7643399834632874
03-04 21:56:16 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default model.th
03-04 21:56:16 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 21:56:16 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.7646200060844421 --> 0.7666000127792358
03-04 21:56:16 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr003_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default model.th
03-04 21:56:16 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 21:56:16 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.7663599848747253 --> 0.76774001121521
03-04 21:56:16 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default model.th
03-04 21:56:16 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 21:56:16 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.7313200235366821 --> 0.7315599918365479
03-04 21:56:16 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 21:56:16 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 21:56:16 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 22:10:56 I ------------------
03-04 22:10:56 I Epoch 30 (E30_U37530_S38430720)
03-04 22:10:56 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 22:10:56 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.10836993
03-04 22:10:56 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.08514821
03-04 22:10:56 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.06407419
03-04 22:10:56 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.04538664
03-04 22:10:56 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.02925515
03-04 22:10:56 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.01615070
03-04 22:10:56 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.00693934
03-04 22:10:56 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.00359234
03-04 22:10:56 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.01101383
03-04 22:10:56 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.33239820
03-04 22:10:56 I loss/online/total: 10.70232854
03-04 22:11:29 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 22:11:30 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7524
03-04 22:11:30 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7542
03-04 22:11:30 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7562
03-04 22:11:30 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7580
03-04 22:11:30 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7598
03-04 22:11:30 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7625
03-04 22:11:30 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7650
03-04 22:11:30 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7667
03-04 22:11:30 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7672
03-04 22:11:30 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7327
03-04 22:11:30 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.7503799796104431 --> 0.7523599863052368
03-04 22:11:30 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default model.th
03-04 22:11:30 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 22:11:30 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.7526199817657471 --> 0.7542399764060974
03-04 22:11:30 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default model.th
03-04 22:11:30 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 22:11:30 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.7549600005149841 --> 0.7561799883842468
03-04 22:11:30 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr008_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default model.th
03-04 22:11:30 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 22:11:30 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.7576199769973755 --> 0.7579799890518188
03-04 22:11:30 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-04 22:11:30 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 22:11:30 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.7622399926185608 --> 0.762499988079071
03-04 22:11:30 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-04 22:11:30 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 22:11:30 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.7643399834632874 --> 0.764959990978241
03-04 22:11:30 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default model.th
03-04 22:11:30 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 22:11:30 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.7666000127792358 --> 0.7666599750518799
03-04 22:11:30 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr003_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default model.th
03-04 22:11:30 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 22:11:30 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.7315599918365479 --> 0.7326800227165222
03-04 22:11:30 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 22:11:30 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 22:11:30 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 22:26:10 I ------------------
03-04 22:26:10 I Epoch 31 (E31_U38781_S39711744)
03-04 22:26:10 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 22:26:10 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.08873930
03-04 22:26:10 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.06808499
03-04 22:26:10 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.04939149
03-04 22:26:10 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.03285242
03-04 22:26:10 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.01864842
03-04 22:26:10 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.00728454
03-04 22:26:10 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 0.99968996
03-04 22:26:10 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 0.99783354
03-04 22:26:10 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.00659675
03-04 22:26:10 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.32886111
03-04 22:26:10 I loss/online/total: 10.59798252
03-04 22:26:43 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 22:26:44 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7548
03-04 22:26:44 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7568
03-04 22:26:44 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7586
03-04 22:26:44 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7602
03-04 22:26:44 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7630
03-04 22:26:44 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7641
03-04 22:26:44 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7660
03-04 22:26:44 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7672
03-04 22:26:44 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7675
03-04 22:26:44 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7331
03-04 22:26:44 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.7523599863052368 --> 0.7548400163650513
03-04 22:26:44 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default model.th
03-04 22:26:44 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 22:26:44 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.7542399764060974 --> 0.7568399906158447
03-04 22:26:44 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default model.th
03-04 22:26:44 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 22:26:44 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.7561799883842468 --> 0.7585999965667725
03-04 22:26:44 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr008_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default model.th
03-04 22:26:44 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 22:26:44 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.7579799890518188 --> 0.7602400183677673
03-04 22:26:44 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-04 22:26:44 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 22:26:44 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.7601799964904785 --> 0.7630000114440918
03-04 22:26:44 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-04 22:26:44 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 22:26:44 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.762499988079071 --> 0.7641400098800659
03-04 22:26:44 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-04 22:26:44 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 22:26:44 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.764959990978241 --> 0.7660199999809265
03-04 22:26:44 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default model.th
03-04 22:26:44 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 22:26:44 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.7666599750518799 --> 0.7672200202941895
03-04 22:26:44 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr003_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default model.th
03-04 22:26:44 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 22:26:44 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.7326800227165222 --> 0.7331200242042542
03-04 22:26:44 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 22:26:44 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 22:26:44 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 22:41:26 I ------------------
03-04 22:41:26 I Epoch 32 (E32_U40032_S40992768)
03-04 22:41:26 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 22:41:26 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.06883982
03-04 22:41:26 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.05043292
03-04 22:41:26 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.03393749
03-04 22:41:26 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.01935709
03-04 22:41:26 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.00700035
03-04 22:41:26 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 0.99733863
03-04 22:41:26 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 0.99124094
03-04 22:41:26 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 0.99082259
03-04 22:41:26 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.00087123
03-04 22:41:26 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.32402966
03-04 22:41:26 I loss/online/total: 10.48387072
03-04 22:41:59 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 22:42:00 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7571
03-04 22:42:00 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7582
03-04 22:42:00 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7593
03-04 22:42:00 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7613
03-04 22:42:00 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7632
03-04 22:42:00 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7652
03-04 22:42:00 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7671
03-04 22:42:00 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7685
03-04 22:42:00 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7692
03-04 22:42:00 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7337
03-04 22:42:00 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.7548400163650513 --> 0.757099986076355
03-04 22:42:00 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default model.th
03-04 22:42:00 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 22:42:00 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.7568399906158447 --> 0.7581800222396851
03-04 22:42:00 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default model.th
03-04 22:42:00 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 22:42:00 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.7585999965667725 --> 0.7593399882316589
03-04 22:42:00 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr008_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default model.th
03-04 22:42:00 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 22:42:00 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.7602400183677673 --> 0.7613000273704529
03-04 22:42:00 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-04 22:42:00 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 22:42:00 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.7630000114440918 --> 0.7632200121879578
03-04 22:42:00 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-04 22:42:00 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 22:42:00 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.7641400098800659 --> 0.7651799917221069
03-04 22:42:00 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-04 22:42:00 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 22:42:00 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.7660199999809265 --> 0.7670999765396118
03-04 22:42:00 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default model.th
03-04 22:42:00 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 22:42:00 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.7672200202941895 --> 0.7684800028800964
03-04 22:42:00 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr003_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default model.th
03-04 22:42:00 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 22:42:00 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.76774001121521 --> 0.7691799998283386
03-04 22:42:00 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default model.th
03-04 22:42:00 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 22:42:00 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.7331200242042542 --> 0.7336999773979187
03-04 22:42:00 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 22:42:00 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 22:42:00 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 22:56:41 I ------------------
03-04 22:56:41 I Epoch 33 (E33_U41283_S42273792)
03-04 22:56:41 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 22:56:41 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.05176176
03-04 22:56:41 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.03567918
03-04 22:56:41 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.02130503
03-04 22:56:41 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.00875691
03-04 22:56:41 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 0.99828402
03-04 22:56:41 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 0.99035203
03-04 22:56:41 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 0.98594070
03-04 22:56:41 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 0.98698452
03-04 22:56:41 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 0.99829076
03-04 22:56:41 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.32157802
03-04 22:56:41 I loss/online/total: 10.39893292
03-04 22:57:14 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 22:57:15 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7580
03-04 22:57:15 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7597
03-04 22:57:15 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7616
03-04 22:57:15 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7632
03-04 22:57:15 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7646
03-04 22:57:15 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7667
03-04 22:57:15 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7688
03-04 22:57:15 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7698
03-04 22:57:15 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7697
03-04 22:57:15 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7334
03-04 22:57:15 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.757099986076355 --> 0.7580400109291077
03-04 22:57:15 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default model.th
03-04 22:57:15 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 22:57:15 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.7581800222396851 --> 0.759660005569458
03-04 22:57:15 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default model.th
03-04 22:57:15 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 22:57:15 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.7593399882316589 --> 0.7615600228309631
03-04 22:57:15 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr008_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default model.th
03-04 22:57:15 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 22:57:15 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.7613000273704529 --> 0.7631999850273132
03-04 22:57:15 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-04 22:57:15 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 22:57:15 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.7632200121879578 --> 0.7645800113677979
03-04 22:57:15 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-04 22:57:15 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 22:57:15 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.7651799917221069 --> 0.7666599750518799
03-04 22:57:15 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-04 22:57:15 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 22:57:15 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.7670999765396118 --> 0.768779993057251
03-04 22:57:15 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default model.th
03-04 22:57:15 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 22:57:15 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.7684800028800964 --> 0.769819974899292
03-04 22:57:15 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr003_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default model.th
03-04 22:57:15 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 22:57:15 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.7691799998283386 --> 0.7697399854660034
03-04 22:57:15 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default model.th
03-04 22:57:15 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 22:57:15 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 23:11:58 I ------------------
03-04 23:11:58 I Epoch 34 (E34_U42534_S43554816)
03-04 23:11:58 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 23:11:58 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.03540320
03-04 23:11:58 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.02133597
03-04 23:11:58 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.00888627
03-04 23:11:58 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 0.99811306
03-04 23:11:58 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 0.98930316
03-04 23:11:58 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 0.98297712
03-04 23:11:58 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 0.97991808
03-04 23:11:58 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 0.98222468
03-04 23:11:58 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 0.99472989
03-04 23:11:58 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.31869345
03-04 23:11:58 I loss/online/total: 10.31158487
03-04 23:12:31 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.68
03-04 23:12:33 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7577
03-04 23:12:33 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7592
03-04 23:12:33 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7607
03-04 23:12:33 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7622
03-04 23:12:33 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7634
03-04 23:12:33 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7651
03-04 23:12:33 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7665
03-04 23:12:33 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7686
03-04 23:12:33 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7690
03-04 23:12:33 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7340
03-04 23:12:33 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.7336999773979187 --> 0.7339800000190735
03-04 23:12:33 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 23:12:33 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 23:12:33 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 23:27:14 I ------------------
03-04 23:27:14 I Epoch 35 (E35_U43785_S44835840)
03-04 23:27:14 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 23:27:14 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.01888148
03-04 23:27:14 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.00672914
03-04 23:27:14 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 0.99598973
03-04 23:27:14 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 0.98685584
03-04 23:27:14 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 0.97961990
03-04 23:27:14 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 0.97468083
03-04 23:27:14 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 0.97303265
03-04 23:27:14 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 0.97667081
03-04 23:27:14 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 0.99042138
03-04 23:27:14 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.31611489
03-04 23:27:14 I loss/online/total: 10.21899663
03-04 23:27:47 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 23:27:48 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7615
03-04 23:27:48 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7626
03-04 23:27:48 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7633
03-04 23:27:48 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7656
03-04 23:27:48 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7667
03-04 23:27:48 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7679
03-04 23:27:48 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7693
03-04 23:27:48 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7697
03-04 23:27:48 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7704
03-04 23:27:48 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7344
03-04 23:27:48 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.7580400109291077 --> 0.76146000623703
03-04 23:27:48 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default model.th
03-04 23:27:48 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 23:27:48 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.759660005569458 --> 0.7626000046730042
03-04 23:27:48 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default model.th
03-04 23:27:48 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 23:27:48 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.7615600228309631 --> 0.7633399963378906
03-04 23:27:48 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr008_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default model.th
03-04 23:27:48 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 23:27:48 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.7631999850273132 --> 0.7656000256538391
03-04 23:27:48 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-04 23:27:48 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 23:27:48 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.7645800113677979 --> 0.7667400240898132
03-04 23:27:48 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-04 23:27:48 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 23:27:48 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.7666599750518799 --> 0.7679399847984314
03-04 23:27:48 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-04 23:27:48 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 23:27:48 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.768779993057251 --> 0.7692800164222717
03-04 23:27:48 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default model.th
03-04 23:27:48 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 23:27:48 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.7697399854660034 --> 0.7704200148582458
03-04 23:27:48 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default model.th
03-04 23:27:48 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 23:27:48 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.7339800000190735 --> 0.7343599796295166
03-04 23:27:48 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 23:27:48 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 23:27:48 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 23:42:30 I ------------------
03-04 23:42:30 I Epoch 36 (E36_U45036_S46116864)
03-04 23:42:30 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 23:42:30 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.00298122
03-04 23:42:30 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 0.99269405
03-04 23:42:30 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 0.98374555
03-04 23:42:30 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 0.97626837
03-04 23:42:30 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 0.97058563
03-04 23:42:30 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 0.96712872
03-04 23:42:30 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 0.96685366
03-04 23:42:30 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 0.97179873
03-04 23:42:30 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 0.98674162
03-04 23:42:30 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.31333399
03-04 23:42:30 I loss/online/total: 10.13213154
03-04 23:43:03 I accuracy_logger_test_iter=0.01 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 23:43:03 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7612
03-04 23:43:03 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7626
03-04 23:43:03 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7644
03-04 23:43:03 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7658
03-04 23:43:03 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7672
03-04 23:43:03 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7683
03-04 23:43:03 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7697
03-04 23:43:03 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7709
03-04 23:43:03 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7712
03-04 23:43:04 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7347
03-04 23:43:04 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.7633399963378906 --> 0.7643600106239319
03-04 23:43:04 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr008_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default model.th
03-04 23:43:04 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 23:43:04 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.7656000256538391 --> 0.7657999992370605
03-04 23:43:04 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-04 23:43:04 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 23:43:04 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.7667400240898132 --> 0.7672399878501892
03-04 23:43:04 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-04 23:43:04 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 23:43:04 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.7679399847984314 --> 0.768280029296875
03-04 23:43:04 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-04 23:43:04 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 23:43:04 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.7692800164222717 --> 0.7697200179100037
03-04 23:43:04 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default model.th
03-04 23:43:04 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 23:43:04 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.769819974899292 --> 0.7708600163459778
03-04 23:43:04 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr003_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default model.th
03-04 23:43:04 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 23:43:04 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.7704200148582458 --> 0.7712200284004211
03-04 23:43:04 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default model.th
03-04 23:43:04 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 23:43:04 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.7343599796295166 --> 0.7347000241279602
03-04 23:43:04 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 23:43:04 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 23:43:04 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 23:57:43 I ------------------
03-04 23:57:43 I Epoch 37 (E37_U46287_S47397888)
03-04 23:57:43 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-04 23:57:43 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 0.99022803
03-04 23:57:43 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 0.98149559
03-04 23:57:43 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 0.97399465
03-04 23:57:43 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 0.96788065
03-04 23:57:43 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 0.96345140
03-04 23:57:43 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 0.96122461
03-04 23:57:43 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 0.96202695
03-04 23:57:43 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 0.96799005
03-04 23:57:43 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 0.98384399
03-04 23:57:43 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.31151219
03-04 23:57:43 I loss/online/total: 10.06364811
03-04 23:58:16 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-04 23:58:17 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7629
03-04 23:58:17 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7640
03-04 23:58:17 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7647
03-04 23:58:17 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7662
03-04 23:58:17 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7674
03-04 23:58:17 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7687
03-04 23:58:17 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7695
03-04 23:58:17 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7699
03-04 23:58:17 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7699
03-04 23:58:17 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7348
03-04 23:58:17 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.76146000623703 --> 0.762939989566803
03-04 23:58:17 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default model.th
03-04 23:58:17 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 23:58:17 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.7626000046730042 --> 0.7640399932861328
03-04 23:58:17 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default model.th
03-04 23:58:17 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 23:58:17 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.7643600106239319 --> 0.7646600008010864
03-04 23:58:17 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr008_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default model.th
03-04 23:58:17 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 23:58:17 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.7657999992370605 --> 0.7661799788475037
03-04 23:58:17 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-04 23:58:17 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 23:58:17 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.7672399878501892 --> 0.7674199938774109
03-04 23:58:17 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-04 23:58:17 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 23:58:17 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.768280029296875 --> 0.7687000036239624
03-04 23:58:17 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-04 23:58:17 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 23:58:17 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.7347000241279602 --> 0.7347599864006042
03-04 23:58:17 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-04 23:58:17 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 23:58:17 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-05 00:12:58 I ------------------
03-05 00:12:58 I Epoch 38 (E38_U47538_S48678912)
03-05 00:12:58 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-05 00:12:58 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 0.98042175
03-05 00:12:58 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 0.97306624
03-05 00:12:58 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 0.96691299
03-05 00:12:58 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 0.96210799
03-05 00:12:58 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 0.95896528
03-05 00:12:58 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 0.95789730
03-05 00:12:58 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 0.95987977
03-05 00:12:58 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 0.96689204
03-05 00:12:58 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 0.98380940
03-05 00:12:58 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.31252288
03-05 00:12:58 I loss/online/total: 10.02247563
03-05 00:13:30 I accuracy_logger_test_iter=0.01 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-05 00:13:31 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7641
03-05 00:13:31 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7659
03-05 00:13:31 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7662
03-05 00:13:31 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7671
03-05 00:13:31 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7683
03-05 00:13:31 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7694
03-05 00:13:31 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7705
03-05 00:13:31 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7710
03-05 00:13:31 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7712
03-05 00:13:31 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7350
03-05 00:13:31 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.762939989566803 --> 0.7640600204467773
03-05 00:13:31 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default model.th
03-05 00:13:31 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-05 00:13:31 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.7640399932861328 --> 0.7659400105476379
03-05 00:13:31 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default model.th
03-05 00:13:31 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-05 00:13:31 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.7646600008010864 --> 0.7662000060081482
03-05 00:13:31 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr008_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default model.th
03-05 00:13:31 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-05 00:13:31 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.7661799788475037 --> 0.7671399712562561
03-05 00:13:32 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-05 00:13:32 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-05 00:13:32 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.7674199938774109 --> 0.7683200240135193
03-05 00:13:32 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-05 00:13:32 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-05 00:13:32 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.7687000036239624 --> 0.7694399952888489
03-05 00:13:32 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-05 00:13:32 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-05 00:13:32 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.7697200179100037 --> 0.7705399990081787
03-05 00:13:32 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default model.th
03-05 00:13:32 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-05 00:13:32 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.7708600163459778 --> 0.7710199952125549
03-05 00:13:32 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr003_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default model.th
03-05 00:13:32 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-05 00:13:32 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.7712200284004211 --> 0.7712399959564209
03-05 00:13:32 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default model.th
03-05 00:13:32 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-05 00:13:32 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.7347599864006042 --> 0.7350199818611145
03-05 00:13:32 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-05 00:13:32 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-05 00:13:32 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-05 00:28:11 I ------------------
03-05 00:28:11 I Epoch 39 (E39_U48789_S49959936)
03-05 00:28:11 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-05 00:28:11 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 0.96553509
03-05 00:28:11 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 0.95962927
03-05 00:28:11 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 0.95482724
03-05 00:28:11 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 0.95130746
03-05 00:28:11 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 0.94939493
03-05 00:28:11 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 0.94954362
03-05 00:28:11 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 0.95271780
03-05 00:28:11 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 0.96087328
03-05 00:28:11 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 0.97886928
03-05 00:28:11 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.30993232
03-05 00:28:11 I loss/online/total: 9.93263029
03-05 00:28:44 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-05 00:28:45 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7643
03-05 00:28:45 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7653
03-05 00:28:45 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7662
03-05 00:28:45 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7672
03-05 00:28:45 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7685
03-05 00:28:45 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7694
03-05 00:28:45 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7698
03-05 00:28:45 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7704
03-05 00:28:45 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7709
03-05 00:28:45 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7356
03-05 00:28:45 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.7640600204467773 --> 0.7643399834632874
03-05 00:28:45 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default model.th
03-05 00:28:45 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-05 00:28:45 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.7671399712562561 --> 0.7671999931335449
03-05 00:28:45 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-05 00:28:45 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-05 00:28:45 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.7683200240135193 --> 0.7684999704360962
03-05 00:28:45 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-05 00:28:45 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-05 00:28:45 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.7350199818611145 --> 0.7355800271034241
03-05 00:28:45 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-05 00:28:45 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-05 00:28:45 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-05 00:43:25 I ------------------
03-05 00:43:25 I Epoch 40 (E40_U50040_S51240960)
03-05 00:43:25 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-05 00:43:25 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 0.95530767
03-05 00:43:25 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 0.95050847
03-05 00:43:25 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 0.94680168
03-05 00:43:25 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 0.94433577
03-05 00:43:25 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 0.94340401
03-05 00:43:25 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 0.94452694
03-05 00:43:25 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 0.94859701
03-05 00:43:25 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 0.95762358
03-05 00:43:25 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 0.97653014
03-05 00:43:25 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.30836375
03-05 00:43:25 I loss/online/total: 9.87599902
03-05 00:43:58 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-05 00:43:59 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7657
03-05 00:43:59 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7663
03-05 00:43:59 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7676
03-05 00:43:59 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7685
03-05 00:43:59 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7694
03-05 00:43:59 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7697
03-05 00:43:59 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7709
03-05 00:43:59 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7720
03-05 00:43:59 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7712
03-05 00:43:59 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7358
03-05 00:43:59 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.7643399834632874 --> 0.7656800150871277
03-05 00:43:59 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default model.th
03-05 00:43:59 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-05 00:43:59 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.7659400105476379 --> 0.7662799954414368
03-05 00:43:59 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default model.th
03-05 00:43:59 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-05 00:43:59 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.7662000060081482 --> 0.7676200270652771
03-05 00:43:59 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr008_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default model.th
03-05 00:43:59 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-05 00:43:59 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.7671999931335449 --> 0.7685400247573853
03-05 00:43:59 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-05 00:43:59 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-05 00:43:59 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.7684999704360962 --> 0.7693799734115601
03-05 00:43:59 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-05 00:43:59 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-05 00:43:59 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.7694399952888489 --> 0.7696599960327148
03-05 00:43:59 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-05 00:43:59 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-05 00:43:59 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.7705399990081787 --> 0.7709000110626221
03-05 00:43:59 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default model.th
03-05 00:43:59 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-05 00:43:59 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.7710199952125549 --> 0.7720400094985962
03-05 00:43:59 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr003_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default model.th
03-05 00:43:59 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-05 00:43:59 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.7355800271034241 --> 0.7358400225639343
03-05 00:43:59 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-05 00:43:59 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-05 00:43:59 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-05 00:58:38 I ------------------
03-05 00:58:38 I Epoch 41 (E41_U51291_S52521984)
03-05 00:58:38 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-05 00:58:38 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 0.94590192
03-05 00:58:38 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 0.94219112
03-05 00:58:38 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 0.93947646
03-05 00:58:38 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 0.93795205
03-05 00:58:38 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 0.93797572
03-05 00:58:38 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 0.93993074
03-05 00:58:38 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 0.94487530
03-05 00:58:38 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 0.95476196
03-05 00:58:38 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 0.97435974
03-05 00:58:38 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.30711953
03-05 00:58:38 I loss/online/total: 9.82454455
03-05 00:59:11 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-05 00:59:12 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7665
03-05 00:59:12 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7673
03-05 00:59:12 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7683
03-05 00:59:12 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7689
03-05 00:59:12 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7695
03-05 00:59:12 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7702
03-05 00:59:12 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7708
03-05 00:59:12 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7716
03-05 00:59:12 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7715
03-05 00:59:12 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7354
03-05 00:59:12 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.7656800150871277 --> 0.766480028629303
03-05 00:59:12 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default model.th
03-05 00:59:12 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-05 00:59:12 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.7662799954414368 --> 0.7673400044441223
03-05 00:59:12 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default model.th
03-05 00:59:12 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-05 00:59:12 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.7676200270652771 --> 0.7683200240135193
03-05 00:59:12 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr008_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default model.th
03-05 00:59:12 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-05 00:59:12 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.7685400247573853 --> 0.7688800096511841
03-05 00:59:12 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-05 00:59:12 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-05 00:59:12 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.7693799734115601 --> 0.769540011882782
03-05 00:59:12 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-05 00:59:12 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-05 00:59:12 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.7696599960327148 --> 0.7702199816703796
03-05 00:59:12 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-05 00:59:12 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-05 00:59:12 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.7712399959564209 --> 0.7715200185775757
03-05 00:59:12 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default model.th
03-05 00:59:12 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-05 00:59:12 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-05 01:13:51 I ------------------
03-05 01:13:51 I Epoch 42 (E42_U52542_S53803008)
03-05 01:13:51 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-05 01:13:51 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 0.93967374
03-05 01:13:51 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 0.93680321
03-05 01:13:51 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 0.93494660
03-05 01:13:51 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 0.93424855
03-05 01:13:51 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 0.93506510
03-05 01:13:51 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 0.93782387
03-05 01:13:51 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 0.94353142
03-05 01:13:51 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 0.95416769
03-05 01:13:51 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 0.97451172
03-05 01:13:51 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.30823554
03-05 01:13:51 I loss/online/total: 9.79900744
03-05 01:14:24 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-05 01:14:25 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7662
03-05 01:14:25 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7668
03-05 01:14:25 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7674
03-05 01:14:25 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7683
03-05 01:14:25 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7693
03-05 01:14:25 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7703
03-05 01:14:25 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7711
03-05 01:14:25 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7718
03-05 01:14:25 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7720
03-05 01:14:25 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7355
03-05 01:14:25 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.7702199816703796 --> 0.7702599763870239
03-05 01:14:25 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-05 01:14:25 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-05 01:14:25 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.7709000110626221 --> 0.7710599899291992
03-05 01:14:25 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default model.th
03-05 01:14:25 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-05 01:14:25 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.7715200185775757 --> 0.7720000147819519
03-05 01:14:25 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default model.th
03-05 01:14:25 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-05 01:14:25 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-05 01:29:05 I ------------------
03-05 01:29:05 I Epoch 43 (E43_U53793_S55084032)
03-05 01:29:05 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-05 01:29:05 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 0.92825355
03-05 01:29:05 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 0.92627547
03-05 01:29:05 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 0.92525008
03-05 01:29:05 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 0.92538659
03-05 01:29:05 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 0.92700983
03-05 01:29:05 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 0.93056472
03-05 01:29:05 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 0.93706270
03-05 01:29:05 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 0.94845438
03-05 01:29:05 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 0.96956991
03-05 01:29:05 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.30544758
03-05 01:29:05 I loss/online/total: 9.72327483
03-05 01:29:38 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-05 01:29:39 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7670
03-05 01:29:39 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7683
03-05 01:29:39 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7689
03-05 01:29:39 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7698
03-05 01:29:39 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7704
03-05 01:29:39 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7709
03-05 01:29:39 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7710
03-05 01:29:39 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7718
03-05 01:29:39 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7716
03-05 01:29:39 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7359
03-05 01:29:39 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.766480028629303 --> 0.7670199871063232
03-05 01:29:39 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default model.th
03-05 01:29:39 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-05 01:29:39 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.7673400044441223 --> 0.7683200240135193
03-05 01:29:39 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default model.th
03-05 01:29:39 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-05 01:29:39 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.7683200240135193 --> 0.7689200043678284
03-05 01:29:39 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr008_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default model.th
03-05 01:29:39 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-05 01:29:39 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.7688800096511841 --> 0.7697799801826477
03-05 01:29:39 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-05 01:29:39 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-05 01:29:39 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.769540011882782 --> 0.7703800201416016
03-05 01:29:39 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-05 01:29:39 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-05 01:29:39 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.7702599763870239 --> 0.7708799839019775
03-05 01:29:39 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-05 01:29:39 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-05 01:29:39 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.7358400225639343 --> 0.7358599901199341
03-05 01:29:39 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-05 01:29:39 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-05 01:29:39 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-05 01:44:19 I ------------------
03-05 01:44:19 I Epoch 44 (E44_U55044_S56365056)
03-05 01:44:19 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-05 01:44:19 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 0.92407162
03-05 01:44:19 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 0.92271270
03-05 01:44:19 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 0.92235973
03-05 01:44:19 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 0.92313559
03-05 01:44:19 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 0.92536578
03-05 01:44:19 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 0.92952026
03-05 01:44:19 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 0.93660159
03-05 01:44:19 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 0.94853472
03-05 01:44:19 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 0.97027516
03-05 01:44:19 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.30607823
03-05 01:44:19 I loss/online/total: 9.70865540
03-05 01:44:52 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-05 01:44:53 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7682
03-05 01:44:53 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7685
03-05 01:44:53 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7689
03-05 01:44:53 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7697
03-05 01:44:53 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7702
03-05 01:44:53 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7708
03-05 01:44:53 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7713
03-05 01:44:53 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7719
03-05 01:44:53 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7719
03-05 01:44:53 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7359
03-05 01:44:53 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.7670199871063232 --> 0.7681599855422974
03-05 01:44:53 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default model.th
03-05 01:44:53 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-05 01:44:53 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.7683200240135193 --> 0.7685199975967407
03-05 01:44:53 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default model.th
03-05 01:44:53 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-05 01:44:53 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.7710599899291992 --> 0.771340012550354
03-05 01:44:53 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default model.th
03-05 01:44:53 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-05 01:44:53 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-05 01:59:32 I ------------------
03-05 01:59:32 I Epoch 45 (E45_U56295_S57646080)
03-05 01:59:32 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-05 01:59:32 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 0.91617117
03-05 01:59:32 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 0.91545273
03-05 01:59:32 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 0.91567291
03-05 01:59:32 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 0.91702438
03-05 01:59:32 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 0.91984020
03-05 01:59:32 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 0.92462419
03-05 01:59:32 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 0.93227199
03-05 01:59:32 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 0.94486568
03-05 01:59:32 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 0.96719965
03-05 01:59:32 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.30409565
03-05 01:59:32 I loss/online/total: 9.65721857
03-05 02:00:05 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.68
03-05 02:00:06 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7679
03-05 02:00:06 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7683
03-05 02:00:06 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7687
03-05 02:00:06 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7697
03-05 02:00:06 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7703
03-05 02:00:06 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7709
03-05 02:00:07 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7713
03-05 02:00:07 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7719
03-05 02:00:07 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7718
03-05 02:00:07 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7360
03-05 02:00:07 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.7708799839019775 --> 0.7709000110626221
03-05 02:00:07 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-05 02:00:07 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-05 02:00:07 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.7358599901199341 --> 0.7360000014305115
03-05 02:00:07 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-05 02:00:07 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-05 02:00:07 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-05 02:14:46 I ------------------
03-05 02:14:46 I Epoch 46 (E46_U57546_S58927104)
03-05 02:14:46 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-05 02:14:46 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 0.91188911
03-05 02:14:46 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 0.91162615
03-05 02:14:46 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 0.91235608
03-05 02:14:46 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 0.91416249
03-05 02:14:46 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 0.91743383
03-05 02:14:46 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 0.92267790
03-05 02:14:46 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 0.93074032
03-05 02:14:46 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 0.94378384
03-05 02:14:46 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 0.96657483
03-05 02:14:46 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.30484825
03-05 02:14:46 I loss/online/total: 9.63609280
03-05 02:15:19 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-05 02:15:20 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7684
03-05 02:15:20 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7689
03-05 02:15:20 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7696
03-05 02:15:20 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7700
03-05 02:15:20 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7710
03-05 02:15:20 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7713
03-05 02:15:20 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7718
03-05 02:15:20 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7723
03-05 02:15:20 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7719
03-05 02:15:20 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7358
03-05 02:15:20 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.7681599855422974 --> 0.7684199810028076
03-05 02:15:20 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default model.th
03-05 02:15:20 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-05 02:15:20 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.7685199975967407 --> 0.7688599824905396
03-05 02:15:20 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default model.th
03-05 02:15:20 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-05 02:15:20 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.7689200043678284 --> 0.7696200013160706
03-05 02:15:20 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr008_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default model.th
03-05 02:15:20 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-05 02:15:20 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.7697799801826477 --> 0.7700200080871582
03-05 02:15:20 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-05 02:15:20 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-05 02:15:20 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.7703800201416016 --> 0.7710000276565552
03-05 02:15:20 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-05 02:15:20 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-05 02:15:20 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.7709000110626221 --> 0.7712799906730652
03-05 02:15:20 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-05 02:15:20 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-05 02:15:20 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.771340012550354 --> 0.7718200087547302
03-05 02:15:20 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default model.th
03-05 02:15:20 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-05 02:15:20 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.7720400094985962 --> 0.7722799777984619
03-05 02:15:20 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr003_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default model.th
03-05 02:15:20 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-05 02:15:20 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-05 02:30:00 I ------------------
03-05 02:30:00 I Epoch 47 (E47_U58797_S60208128)
03-05 02:30:00 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-05 02:30:00 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 0.90881269
03-05 02:30:00 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 0.90890661
03-05 02:30:00 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 0.90996892
03-05 02:30:00 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 0.91211900
03-05 02:30:00 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 0.91578749
03-05 02:30:00 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 0.92130622
03-05 02:30:00 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 0.92973136
03-05 02:30:00 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 0.94309169
03-05 02:30:00 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 0.96619271
03-05 02:30:00 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.30434799
03-05 02:30:00 I loss/online/total: 9.62026468
03-05 02:30:33 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-05 02:30:34 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7689
03-05 02:30:34 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7690
03-05 02:30:34 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7698
03-05 02:30:34 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7701
03-05 02:30:34 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7709
03-05 02:30:34 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7715
03-05 02:30:34 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7714
03-05 02:30:34 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7720
03-05 02:30:34 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7721
03-05 02:30:34 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7360
03-05 02:30:34 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.7684199810028076 --> 0.7688999772071838
03-05 02:30:34 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default model.th
03-05 02:30:34 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-05 02:30:34 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.7688599824905396 --> 0.7690399885177612
03-05 02:30:34 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default model.th
03-05 02:30:34 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-05 02:30:34 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.7696200013160706 --> 0.7698000073432922
03-05 02:30:34 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr008_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default model.th
03-05 02:30:34 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-05 02:30:34 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.7700200080871582 --> 0.7700799703598022
03-05 02:30:34 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-05 02:30:34 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-05 02:30:34 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.7712799906730652 --> 0.7714999914169312
03-05 02:30:34 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-05 02:30:34 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-05 02:30:34 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.7720000147819519 --> 0.7720800042152405
03-05 02:30:34 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default model.th
03-05 02:30:34 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-05 02:30:34 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.7360000014305115 --> 0.736020028591156
03-05 02:30:34 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-05 02:30:34 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-05 02:30:34 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-05 02:45:13 I ------------------
03-05 02:45:13 I Epoch 48 (E48_U60048_S61489152)
03-05 02:45:13 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-05 02:45:13 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 0.90602301
03-05 02:45:13 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 0.90641251
03-05 02:45:13 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 0.90775506
03-05 02:45:13 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 0.91018354
03-05 02:45:13 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 0.91412105
03-05 02:45:13 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 0.91991058
03-05 02:45:13 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 0.92862505
03-05 02:45:13 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 0.94230056
03-05 02:45:13 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 0.96565216
03-05 02:45:13 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.30461510
03-05 02:45:13 I loss/online/total: 9.60559862
03-05 02:45:46 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-05 02:45:47 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7686
03-05 02:45:47 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7691
03-05 02:45:47 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7699
03-05 02:45:47 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7701
03-05 02:45:47 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7709
03-05 02:45:47 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7713
03-05 02:45:47 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7712
03-05 02:45:47 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7719
03-05 02:45:47 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7718
03-05 02:45:47 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7361
03-05 02:45:47 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.7690399885177612 --> 0.76910001039505
03-05 02:45:47 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default model.th
03-05 02:45:47 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-05 02:45:47 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.7698000073432922 --> 0.769860029220581
03-05 02:45:47 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr008_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default model.th
03-05 02:45:47 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-05 02:45:47 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.736020028591156 --> 0.7360600233078003
03-05 02:45:47 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default model.th
03-05 02:45:47 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-05 02:45:47 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-05 03:00:26 I ------------------
03-05 03:00:26 I Epoch 49 (E49_U61299_S62770176)
03-05 03:00:26 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-05 03:00:26 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 0.90086606
03-05 03:00:26 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 0.90144027
03-05 03:00:26 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 0.90296869
03-05 03:00:26 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 0.90559067
03-05 03:00:26 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 0.90966328
03-05 03:00:26 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 0.91566717
03-05 03:00:26 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 0.92461828
03-05 03:00:26 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 0.93847189
03-05 03:00:26 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 0.96209964
03-05 03:00:26 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.30204641
03-05 03:00:26 I loss/online/total: 9.56343234
03-05 03:00:59 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-05 03:01:00 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7688
03-05 03:01:00 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7695
03-05 03:01:00 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7699
03-05 03:01:00 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7700
03-05 03:01:00 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7709
03-05 03:01:00 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7717
03-05 03:01:00 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7713
03-05 03:01:00 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7717
03-05 03:01:00 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7718
03-05 03:01:00 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7358
03-05 03:01:00 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.76910001039505 --> 0.7694799900054932
03-05 03:01:00 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default model.th
03-05 03:01:00 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-05 03:01:00 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.7714999914169312 --> 0.7717000246047974
03-05 03:01:00 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default model.th
03-05 03:01:00 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-05 03:01:00 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-05 03:15:40 I ------------------
03-05 03:15:40 I Epoch 50 (E50_U62550_S64051200)
03-05 03:15:40 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.70, 0.70, 0.70, 0.70]
03-05 03:15:40 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 0.90403268
03-05 03:15:40 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 0.90472179
03-05 03:15:40 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 0.90634678
03-05 03:15:40 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 0.90907297
03-05 03:15:40 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 0.91327908
03-05 03:15:40 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 0.91943444
03-05 03:15:40 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 0.92846685
03-05 03:15:40 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 0.94244419
03-05 03:15:40 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 0.96620416
03-05 03:15:40 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 1.30601383
03-05 03:15:40 I loss/online/total: 9.60001678
03-05 03:16:13 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.00 accuracy_logger_test_forward=0.67
03-05 03:16:14 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.7688
03-05 03:16:14 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.7694
03-05 03:16:14 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.7697
03-05 03:16:14 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.7702
03-05 03:16:14 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.7711
03-05 03:16:14 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.7716
03-05 03:16:14 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.7714
03-05 03:16:14 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.7717
03-05 03:16:14 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.7717
03-05 03:16:14 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.7358
03-05 03:16:14 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.7700799703598022 --> 0.7702199816703796
03-05 03:16:14 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default model.th
03-05 03:16:14 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-05 03:16:14 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.7710000276565552 --> 0.7710800170898438
03-05 03:16:14 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default model.th
03-05 03:16:14 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-05 03:16:14 I ------------------
03-05 03:16:14 I AFTER TRAINING
03-05 03:16:14 I ------------------
03-05 03:16:14 I accuracy_logger dataset_key=test
03-05 03:16:14 I total_iter:   [0.98, 0.48, 0.66, 0.58]
03-05 03:16:14 I total_data_time:    [0.02, 0.02, 0.02, 0.02]
03-05 03:16:14 I total_forward_time: [33.54, 33.57, 33.71, 34.21]
03-05 03:16:17 I saved backbone_head.backbone to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.backbone cp=last model.th
03-05 03:16:17 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=last model.th
03-05 03:16:17 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=last model.th
03-05 03:16:17 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr008_wupcos_wd0_default cp=last model.th
03-05 03:16:17 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=last model.th
03-05 03:16:17 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=last model.th
03-05 03:16:17 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=last model.th
03-05 03:16:17 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=last model.th
03-05 03:16:17 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr003_wupcos_wd0_default cp=last model.th
03-05 03:16:17 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=last model.th
03-05 03:16:17 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=last model.th
03-05 03:16:17 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/10dwuvzu/checkpoints/trainer cp=last.th
03-05 03:16:18 I writing 1301 log entries to /project/home/PROJECT/save/mlp/probe/10dwuvzu/primitive/entries.yaml
03-05 03:16:20 I ------------------
03-05 03:16:20 I summarize logvalues
03-05 03:16:24 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default/max: 0.7360600233078003
03-05 03:16:24 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default/last10: 0.7358060002326965
03-05 03:16:24 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default/last50: 0.6966728010773658
03-05 03:16:24 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default/max: 0.7720800042152405
03-05 03:16:24 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default/last10: 0.7718039929866791
03-05 03:16:24 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default/last50: 0.7580099999904633
03-05 03:16:24 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default/max: 0.7722799777984619
03-05 03:16:24 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default/last10: 0.7718559980392456
03-05 03:16:24 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default/last50: 0.757985200881958
03-05 03:16:24 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default/max: 0.7718200087547302
03-05 03:16:24 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default/last10: 0.7712539970874787
03-05 03:16:24 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default/last50: 0.7565052032470703
03-05 03:16:24 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default/max: 0.7717000246047974
03-05 03:16:24 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default/last10: 0.7710499942302704
03-05 03:16:24 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default/last50: 0.754735996723175
03-05 03:16:24 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default/max: 0.7710800170898438
03-05 03:16:24 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default/last10: 0.7704600095748901
03-05 03:16:24 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default/last50: 0.7527344048023223
03-05 03:16:24 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default/max: 0.7702199816703796
03-05 03:16:24 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default/last10: 0.7696719944477082
03-05 03:16:24 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default/last50: 0.7505787980556488
03-05 03:16:24 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default/max: 0.769860029220581
03-05 03:16:24 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default/last10: 0.7691080033779144
03-05 03:16:24 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default/last50: 0.7483759999275208
03-05 03:16:24 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default/max: 0.7694799900054932
03-05 03:16:24 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default/last10: 0.7685140013694763
03-05 03:16:24 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default/last50: 0.746316796541214
03-05 03:16:24 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default/max: 0.7688999772071838
03-05 03:16:24 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default/last10: 0.7679339945316315
03-05 03:16:24 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default/last50: 0.7442527961730957
03-05 03:16:24 I loss/online/cls_sgd_lr001_wupcos_wd0_default/E1/min: 1.3020464057425896
03-05 03:16:24 I loss/online/cls_sgd_lr001_wupcos_wd0_default/E1/last10: 1.3052848108416555
03-05 03:16:24 I loss/online/cls_sgd_lr001_wupcos_wd0_default/E1/last50: 1.6716942463359004
03-05 03:16:24 I loss/online/cls_sgd_lr001_wupcos_wd0_default/U50/min: 1.2878663429617883
03-05 03:16:24 I loss/online/cls_sgd_lr001_wupcos_wd0_default/U50/last10: 1.30256988877058
03-05 03:16:24 I loss/online/cls_sgd_lr001_wupcos_wd0_default/U50/last50: 1.3040331997632981
03-05 03:16:24 I loss/online/cls_sgd_lr002_wupcos_wd0_default/E1/min: 0.962099638809975
03-05 03:16:24 I loss/online/cls_sgd_lr002_wupcos_wd0_default/E1/last10: 0.9682639683405464
03-05 03:16:24 I loss/online/cls_sgd_lr002_wupcos_wd0_default/E1/last50: 1.1450907201906568
03-05 03:16:24 I loss/online/cls_sgd_lr002_wupcos_wd0_default/U50/min: 0.9482972583174706
03-05 03:16:24 I loss/online/cls_sgd_lr002_wupcos_wd0_default/U50/last10: 0.9619742509126663
03-05 03:16:24 I loss/online/cls_sgd_lr002_wupcos_wd0_default/U50/last50: 0.9641442022919655
03-05 03:16:24 I loss/online/cls_sgd_lr003_wupcos_wd0_default/E1/min: 0.9384718866204376
03-05 03:16:24 I loss/online/cls_sgd_lr003_wupcos_wd0_default/E1/last10: 0.9460876608935953
03-05 03:16:24 I loss/online/cls_sgd_lr003_wupcos_wd0_default/E1/last50: 1.1263043397498265
03-05 03:16:24 I loss/online/cls_sgd_lr003_wupcos_wd0_default/U50/min: 0.9241748759150505
03-05 03:16:24 I loss/online/cls_sgd_lr003_wupcos_wd0_default/U50/last10: 0.9381890222728254
03-05 03:16:24 I loss/online/cls_sgd_lr003_wupcos_wd0_default/U50/last50: 0.9404476035118102
03-05 03:16:24 I loss/online/cls_sgd_lr004_wupcos_wd0_default/E1/min: 0.9246182763319221
03-05 03:16:24 I loss/online/cls_sgd_lr004_wupcos_wd0_default/E1/last10: 0.9336524873531216
03-05 03:16:24 I loss/online/cls_sgd_lr004_wupcos_wd0_default/E1/last50: 1.124741457540402
03-05 03:16:24 I loss/online/cls_sgd_lr004_wupcos_wd0_default/U50/min: 0.9100269556045533
03-05 03:16:24 I loss/online/cls_sgd_lr004_wupcos_wd0_default/U50/last10: 0.9242395094335079
03-05 03:16:24 I loss/online/cls_sgd_lr004_wupcos_wd0_default/U50/last50: 0.926530873924494
03-05 03:16:24 I loss/online/cls_sgd_lr005_wupcos_wd0_default/E1/min: 0.9156671744480216
03-05 03:16:24 I loss/online/cls_sgd_lr005_wupcos_wd0_default/E1/last10: 0.926146010230247
03-05 03:16:24 I loss/online/cls_sgd_lr005_wupcos_wd0_default/E1/last50: 1.1326685168674524
03-05 03:16:24 I loss/online/cls_sgd_lr005_wupcos_wd0_default/U50/min: 0.900644206404686
03-05 03:16:24 I loss/online/cls_sgd_lr005_wupcos_wd0_default/U50/last10: 0.9151913493275643
03-05 03:16:24 I loss/online/cls_sgd_lr005_wupcos_wd0_default/U50/last50: 0.9175371571540832
03-05 03:16:24 I loss/online/cls_sgd_lr006_wupcos_wd0_default/E1/min: 0.9096632832698495
03-05 03:16:24 I loss/online/cls_sgd_lr006_wupcos_wd0_default/E1/last10: 0.9215541378199626
03-05 03:16:24 I loss/online/cls_sgd_lr006_wupcos_wd0_default/E1/last50: 1.1469243946931154
03-05 03:16:24 I loss/online/cls_sgd_lr006_wupcos_wd0_default/U50/min: 0.8945644149184226
03-05 03:16:24 I loss/online/cls_sgd_lr006_wupcos_wd0_default/U50/last10: 0.9090521846413612
03-05 03:16:24 I loss/online/cls_sgd_lr006_wupcos_wd0_default/U50/last50: 0.9114560824155806
03-05 03:16:24 I loss/online/cls_sgd_lr007_wupcos_wd0_default/E1/min: 0.905590666271895
03-05 03:16:24 I loss/online/cls_sgd_lr007_wupcos_wd0_default/E1/last10: 0.9188875841425
03-05 03:16:24 I loss/online/cls_sgd_lr007_wupcos_wd0_default/E1/last50: 1.1661748666276366
03-05 03:16:24 I loss/online/cls_sgd_lr007_wupcos_wd0_default/U50/min: 0.8902044901251793
03-05 03:16:24 I loss/online/cls_sgd_lr007_wupcos_wd0_default/U50/last10: 0.9048668720722197
03-05 03:16:24 I loss/online/cls_sgd_lr007_wupcos_wd0_default/U50/last50: 0.9073151697576045
03-05 03:16:24 I loss/online/cls_sgd_lr008_wupcos_wd0_default/E1/min: 0.9029686866427877
03-05 03:16:24 I loss/online/cls_sgd_lr008_wupcos_wd0_default/E1/last10: 0.9177101308493306
03-05 03:16:24 I loss/online/cls_sgd_lr008_wupcos_wd0_default/E1/last50: 1.1896615293672044
03-05 03:16:24 I loss/online/cls_sgd_lr008_wupcos_wd0_default/U50/min: 0.8874593707919121
03-05 03:16:24 I loss/online/cls_sgd_lr008_wupcos_wd0_default/U50/last10: 0.9021748411655427
03-05 03:16:24 I loss/online/cls_sgd_lr008_wupcos_wd0_default/U50/last50: 0.9046397696256637
03-05 03:16:24 I loss/online/cls_sgd_lr009_wupcos_wd0_default/E1/min: 0.9014402667609908
03-05 03:16:24 I loss/online/cls_sgd_lr009_wupcos_wd0_default/E1/last10: 0.9176542553172217
03-05 03:16:24 I loss/online/cls_sgd_lr009_wupcos_wd0_default/E1/last50: 1.2167999846236313
03-05 03:16:24 I loss/online/cls_sgd_lr009_wupcos_wd0_default/U50/min: 0.8858305293321609
03-05 03:16:24 I loss/online/cls_sgd_lr009_wupcos_wd0_default/U50/last10: 0.9006062008738519
03-05 03:16:24 I loss/online/cls_sgd_lr009_wupcos_wd0_default/U50/last50: 0.903062146085501
03-05 03:16:24 I loss/online/cls_sgd_lr01_wupcos_wd0_default/E1/min: 0.900866064403078
03-05 03:16:24 I loss/online/cls_sgd_lr01_wupcos_wd0_default/E1/last10: 0.9185695558869771
03-05 03:16:24 I loss/online/cls_sgd_lr01_wupcos_wd0_default/E1/last50: 1.247439567267442
03-05 03:16:24 I loss/online/cls_sgd_lr01_wupcos_wd0_default/U50/min: 0.8850360691547394
03-05 03:16:24 I loss/online/cls_sgd_lr01_wupcos_wd0_default/U50/last10: 0.8999103389680385
03-05 03:16:24 I loss/online/cls_sgd_lr01_wupcos_wd0_default/U50/last50: 0.9024291701257229
03-05 03:16:24 I loss/online/total/E1/min: 9.563432343191
03-05 03:16:24 I loss/online/total/E1/last10: 9.67381059966213
03-05 03:16:24 I loss/online/total/E1/last50: 12.167499623098536
03-05 03:16:24 I loss/online/total/U50/min: 9.416483540534973
03-05 03:16:24 I loss/online/total/U50/last10: 9.558774444580079
03-05 03:16:24 I loss/online/total/U50/last50: 9.581595368051529
03-05 03:16:24 I pushing summarized logvalues to wandb
03-05 03:16:24 I ------------------
03-05 03:16:24 I pattern=accuracy1/test*/last best_key='accuracy1/test/cls_sgd_lr003_wupcos_wd0_default/last' best_value=0.7717000246047974
03-05 03:16:24 I pattern=accuracy1/test*/max best_key='accuracy1/test/cls_sgd_lr003_wupcos_wd0_default/max' best_value=0.7722799777984619
03-05 03:16:24 I pattern=accuracy1/test/cls_*/last best_key='accuracy1/test/cls_sgd_lr003_wupcos_wd0_default/last' best_value=0.7717000246047974
03-05 03:16:24 I pattern=accuracy1/test/cls_*/max best_key='accuracy1/test/cls_sgd_lr003_wupcos_wd0_default/max' best_value=0.7722799777984619
03-05 03:16:24 I full profiling times:
 45715.35 train
     0.03 train.DatasetStatsLogger.before_training
     0.00 train.ParamCountLogger.before_training
     0.14 train.AccuracyLogger.before_training
     0.00 train.CheckpointLogger.before_training
     0.00 train.BestModelLogger.before_training
     1.64 train.iterator
    12.61 train.data_loading
 43670.80 train.update
     1.70 train.OnlineLossLogger.track_after_accumulation_step
     0.22 train.TrainTimeLogger.track_after_update_step
     0.09 train.LrLogger.after_update
     0.03 train.FreezerLogger.after_update
     7.41 train.OnlineLossLogger.after_update
     0.24 train.ProgressLogger.after_epoch
     0.36 train.TrainTimeLogger.after_epoch
     0.32 train.OnlineLossLogger.after_epoch
  1698.20 train.AccuracyLogger.after_epoch
     4.25 train.BestModelLogger.after_epoch
     0.01 train.AccuracyLogger.after_training
     2.93 train.CheckpointLogger.after_training
     0.00 train.BestModelLogger.after_training
03-05 03:16:24 I ------------------
03-05 03:16:24 I CLEANUP
03-05 03:16:24 I ------------------
03-05 03:16:24 I encountered 0 warnings
03-05 03:16:24 I encountered 0 errors
03-05 03:16:32 I ------------------
03-05 03:16:32 I 483 tensors remaining in memory (cpu+gpu)
03-05 03:16:32 I 3 tensors remaining in memory (cpu)
03-05 03:16:32 I 480 tensors remaining in memory (gpu)