mae_base16.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/base_stage1_cls.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/base_stage1_cls.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: 293258
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:
    is_frozen: true
    initializer:
      kind: previous_run_initializer
      stage_id: 1gja1b6j
      stage_name: pretrain
      model_name: mae_contheads_vit.encoder
      checkpoint: last
      use_checkpoint_kwargs: true
  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/1i2vx24r/hp_unresolved.yaml
03-04 14:30:14 I dumped resolved hp to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:33:59 I finished copying data from global to local
03-04 14:33:59 I source_root '/mnt/tier0/project/PROJECT/imagenet1k/train' contains 1000 folders
03-04 14:34:02 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 14:34:17 I loaded weights of mae_contheads_vit.encoder from /project/home/PROJECT/save/mlp/pretrain/1gja1b6j/checkpoints/mae_contheads_vit.encoder cp=last model.th
03-04 14:34:17 I copying config and summary
03-04 14:34:17 I masked_encoder skipping model specific initialization
03-04 14:34:18 I initialized LinearHead with weight=trunc_normal(std=0.01) bias=0
03-04 14:34:18 I linear_head applying model specific initialization
03-04 14:34:18 I initialized LinearHead with weight=trunc_normal(std=0.01) bias=0
03-04 14:34:18 I linear_head applying model specific initialization
03-04 14:34:18 I initialized LinearHead with weight=trunc_normal(std=0.01) bias=0
03-04 14:34:18 I linear_head applying model specific initialization
03-04 14:34:18 I initialized LinearHead with weight=trunc_normal(std=0.01) bias=0
03-04 14:34:18 I linear_head applying model specific initialization
03-04 14:34:18 I initialized LinearHead with weight=trunc_normal(std=0.01) bias=0
03-04 14:34:18 I linear_head applying model specific initialization
03-04 14:34:18 I initialized LinearHead with weight=trunc_normal(std=0.01) bias=0
03-04 14:34:18 I linear_head applying model specific initialization
03-04 14:34:18 I initialized LinearHead with weight=trunc_normal(std=0.01) bias=0
03-04 14:34:18 I linear_head applying model specific initialization
03-04 14:34:18 I initialized LinearHead with weight=trunc_normal(std=0.01) bias=0
03-04 14:34:18 I linear_head applying model specific initialization
03-04 14:34:18 I initialized LinearHead with weight=trunc_normal(std=0.01) bias=0
03-04 14:34:18 I linear_head applying model specific initialization
03-04 14:34:18 I initialized LinearHead with weight=trunc_normal(std=0.01) bias=0
03-04 14:34:18 I linear_head applying model specific initialization
03-04 14:34:18 I applying model specific initialization
03-04 14:34:18 I skipping model specific initialization
03-04 14:34:18 I masked_encoder is frozen -> no optimizer to initialize
03-04 14:34:18 I linear_head initialize optimizer
03-04 14:34:18 I unscaled lr: 1e-1
03-04 14:34:18 I scaled lr: 0.4 (LinearLrScaler(divisor=256) lr_scaler_factor=1024)
03-04 14:34:18 I group modifiers exclude_bias_from_wd=True exclude_norm_from_wd=True []
03-04 14:34:18 I linear_head initialize optimizer
03-04 14:34:18 I unscaled lr: 9e-2
03-04 14:34:18 I scaled lr: 0.36 (LinearLrScaler(divisor=256) lr_scaler_factor=1024)
03-04 14:34:18 I group modifiers exclude_bias_from_wd=True exclude_norm_from_wd=True []
03-04 14:34:18 I linear_head initialize optimizer
03-04 14:34:18 I unscaled lr: 8e-2
03-04 14:34:18 I scaled lr: 0.32 (LinearLrScaler(divisor=256) lr_scaler_factor=1024)
03-04 14:34:18 I group modifiers exclude_bias_from_wd=True exclude_norm_from_wd=True []
03-04 14:34:18 I linear_head initialize optimizer
03-04 14:34:18 I unscaled lr: 7e-2
03-04 14:34:18 I scaled lr: 0.28 (LinearLrScaler(divisor=256) lr_scaler_factor=1024)
03-04 14:34:18 I group modifiers exclude_bias_from_wd=True exclude_norm_from_wd=True []
03-04 14:34:18 I linear_head initialize optimizer
03-04 14:34:18 I unscaled lr: 6e-2
03-04 14:34:18 I scaled lr: 0.24 (LinearLrScaler(divisor=256) lr_scaler_factor=1024)
03-04 14:34:18 I group modifiers exclude_bias_from_wd=True exclude_norm_from_wd=True []
03-04 14:34:18 I linear_head initialize optimizer
03-04 14:34:18 I unscaled lr: 5e-2
03-04 14:34:18 I scaled lr: 0.2 (LinearLrScaler(divisor=256) lr_scaler_factor=1024)
03-04 14:34:18 I group modifiers exclude_bias_from_wd=True exclude_norm_from_wd=True []
03-04 14:34:18 I linear_head initialize optimizer
03-04 14:34:18 I unscaled lr: 4e-2
03-04 14:34:18 I scaled lr: 0.16 (LinearLrScaler(divisor=256) lr_scaler_factor=1024)
03-04 14:34:18 I group modifiers exclude_bias_from_wd=True exclude_norm_from_wd=True []
03-04 14:34:18 I linear_head initialize optimizer
03-04 14:34:18 I unscaled lr: 3e-2
03-04 14:34:18 I scaled lr: 0.12 (LinearLrScaler(divisor=256) lr_scaler_factor=1024)
03-04 14:34:18 I group modifiers exclude_bias_from_wd=True exclude_norm_from_wd=True []
03-04 14:34:18 I linear_head initialize optimizer
03-04 14:34:18 I unscaled lr: 2e-2
03-04 14:34:18 I scaled lr: 0.08 (LinearLrScaler(divisor=256) lr_scaler_factor=1024)
03-04 14:34:18 I group modifiers exclude_bias_from_wd=True exclude_norm_from_wd=True []
03-04 14:34:18 I linear_head initialize optimizer
03-04 14:34:18 I unscaled lr: 1e-3
03-04 14:34:18 I scaled lr: 0.004 (LinearLrScaler(divisor=256) lr_scaler_factor=1024)
03-04 14:34:18 I group modifiers exclude_bias_from_wd=True exclude_norm_from_wd=True []
03-04 14:34:18 I added default DatasetStatsLogger()
03-04 14:34:18 I added default ParamCountLogger()
03-04 14:34:18 I added default ProgressLogger(every_n_epochs=1)
03-04 14:34:18 I added default TrainTimeLogger(every_n_epochs=1)
03-04 14:34:18 I added default OnlineLossLogger(every_n_epochs=1)
03-04 14:34:18 I added default LrLogger(every_n_updates=50)
03-04 14:34:18 I added default FreezerLogger(every_n_updates=50)
03-04 14:34:18 I added default OnlineLossLogger(every_n_updates=50)
03-04 14:34:18 I ------------------
03-04 14:34:18 I PREPARE TRAINER
03-04 14:34:18 I calculating batch_size and accumulation_steps (effective_batch_size=1024)
03-04 14:34:18 I model is batch_size dependent -> disabled possible gradient accumulation
03-04 14:34:19 I train_batches per epoch: 1251 (world_size=4 batch_size=256)
03-04 14:34:19 I initializing train dataloader
03-04 14:34:19 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 14:34:19 I ------------------
03-04 14:34:19 I BEFORE TRAINING
03-04 14:34:19 I train: 1281167 samples
03-04 14:34:19 I skipping dataset statistics for train (too big len(ds)=1281167)
03-04 14:34:19 I test: 50000 samples
03-04 14:34:19 I test has 1000 classes (1000 classes with samples)
03-04 14:34:19 I each class has at least 50 samples
03-04 14:34:19 I each class has at most 50 samples
03-04 14:34:19 I each class has on average 50.0 samples
03-04 14:34:19 I parameter counts (trainable | frozen)
03-04 14:34:19 I 7,690,000 | 85,647,360 | total
03-04 14:34:19 I         0 | 85,647,360 | backbone.masked_encoder
03-04 14:34:19 I 7,690,000 |          0 | head
03-04 14:34:19 I   769,000 |          0 | head.cls_sgd_lr01_wupcos_wd0_default.linear_head
03-04 14:34:19 I   769,000 |          0 | head.cls_sgd_lr009_wupcos_wd0_default.linear_head
03-04 14:34:19 I   769,000 |          0 | head.cls_sgd_lr008_wupcos_wd0_default.linear_head
03-04 14:34:19 I   769,000 |          0 | head.cls_sgd_lr007_wupcos_wd0_default.linear_head
03-04 14:34:19 I   769,000 |          0 | head.cls_sgd_lr006_wupcos_wd0_default.linear_head
03-04 14:34:19 I   769,000 |          0 | head.cls_sgd_lr005_wupcos_wd0_default.linear_head
03-04 14:34:19 I   769,000 |          0 | head.cls_sgd_lr004_wupcos_wd0_default.linear_head
03-04 14:34:19 I   769,000 |          0 | head.cls_sgd_lr003_wupcos_wd0_default.linear_head
03-04 14:34:19 I   769,000 |          0 | head.cls_sgd_lr002_wupcos_wd0_default.linear_head
03-04 14:34:19 I   769,000 |          0 | head.cls_sgd_lr001_wupcos_wd0_default.linear_head
03-04 14:34:19 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 14:34:19 I estimated checkpoint size: 1.1GB
03-04 14:34:19 I estimated weight checkpoint size: 373.3MB
03-04 14:34:19 I estimated optim checkpoint size: 746.6MB
03-04 14:34:19 I estimated size for 1 checkpoints: 373.3MB
03-04 14:34:19 I ------------------
03-04 14:34:19 I DatasetStatsLogger()
03-04 14:34:19 I ParamCountLogger()
03-04 14:34:19 I ProgressLogger(every_n_epochs=1)
03-04 14:34:19 I TrainTimeLogger(every_n_epochs=1)
03-04 14:34:19 I OnlineLossLogger(every_n_epochs=1)
03-04 14:34:19 I LrLogger(every_n_updates=50)
03-04 14:34:19 I FreezerLogger(every_n_updates=50)
03-04 14:34:19 I OnlineLossLogger(every_n_updates=50)
03-04 14:34:19 I AccuracyLogger(every_n_epochs=1)
03-04 14:34:19 I CheckpointLogger()
03-04 14:34:19 I BestModelLogger(every_n_epochs=1)
03-04 14:34:19 I BestModelLogger(every_n_epochs=1)
03-04 14:34:19 I BestModelLogger(every_n_epochs=1)
03-04 14:34:19 I BestModelLogger(every_n_epochs=1)
03-04 14:34:19 I BestModelLogger(every_n_epochs=1)
03-04 14:34:19 I BestModelLogger(every_n_epochs=1)
03-04 14:34:19 I BestModelLogger(every_n_epochs=1)
03-04 14:34:19 I BestModelLogger(every_n_epochs=1)
03-04 14:34:19 I BestModelLogger(every_n_epochs=1)
03-04 14:34:19 I BestModelLogger(every_n_epochs=1)
03-04 14:34:19 I ------------------
03-04 14:34:19 I START TRAINING
03-04 14:34:19 I initializing dataloader workers
03-04 14:34:20 I initialized dataloader workers
03-04 14:34:24 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 14:34:32 I 0 unused parameters
03-04 14:34:32 I Reducer buckets have been rebuilt in this iteration.
03-04 14:37:34 I ------------------
03-04 14:37:34 I Epoch 1 (E1_U1251_S1281024)
03-04 14:37:34 I train_iter=[1.51, 1.17, 1.33, 1.26] train_data=[0.00, 0.00, 0.00, 0.00] train=[0.15, 0.15, 0.15, 0.15]
03-04 14:37:34 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 3.64535785
03-04 14:37:34 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 3.70901016
03-04 14:37:34 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 3.78721748
03-04 14:37:34 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 3.87581477
03-04 14:37:34 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 3.98061106
03-04 14:37:34 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 4.11215783
03-04 14:37:34 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 4.27723971
03-04 14:37:34 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 4.50252182
03-04 14:37:34 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 4.83710908
03-04 14:37:34 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 6.68655720
03-04 14:37:34 I loss/online/total: 43.41359693
03-04 14:37:43 I accuracy_logger_test_iter=0.55 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.11
03-04 14:37:44 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.5339
03-04 14:37:44 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.5300
03-04 14:37:44 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.5250
03-04 14:37:44 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.5197
03-04 14:37:44 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.5118
03-04 14:37:44 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.5040
03-04 14:37:44 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.4908
03-04 14:37:44 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.4719
03-04 14:37:45 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.4398
03-04 14:37:45 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.1129
03-04 14:37:45 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): -inf --> 0.5339000225067139
03-04 14:37:45 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:37:45 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 14:37:45 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): -inf --> 0.5300400257110596
03-04 14:37:45 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:37:45 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 14:37:45 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): -inf --> 0.5250200033187866
03-04 14:37:45 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:37:45 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 14:37:45 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): -inf --> 0.5197200179100037
03-04 14:37:45 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:37:45 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 14:37:45 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): -inf --> 0.5117800235748291
03-04 14:37:45 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:37:45 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 14:37:45 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): -inf --> 0.5039600133895874
03-04 14:37:45 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:37:45 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 14:37:45 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): -inf --> 0.49083998799324036
03-04 14:37:45 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:37:45 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 14:37:45 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): -inf --> 0.4719200134277344
03-04 14:37:45 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:37:45 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 14:37:45 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): -inf --> 0.4398399889469147
03-04 14:37:45 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:37:45 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 14:37:45 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): -inf --> 0.1129399985074997
03-04 14:37:45 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:37:45 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 14:37:45 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 14:40:46 I ------------------
03-04 14:40:46 I Epoch 2 (E2_U2502_S2562048)
03-04 14:40:46 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 14:40:46 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 2.20973848
03-04 14:40:46 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 2.22448047
03-04 14:40:46 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 2.24414320
03-04 14:40:46 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 2.26950537
03-04 14:40:46 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 2.30399194
03-04 14:40:46 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 2.35128115
03-04 14:40:46 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 2.41910163
03-04 14:40:46 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 2.52308097
03-04 14:40:46 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 2.70557727
03-04 14:40:46 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 5.50062432
03-04 14:40:46 I loss/online/total: 26.75152479
03-04 14:40:56 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 14:40:57 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.5786
03-04 14:40:57 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.5779
03-04 14:40:57 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.5774
03-04 14:40:57 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.5763
03-04 14:40:57 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.5744
03-04 14:40:57 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.5696
03-04 14:40:57 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.5635
03-04 14:40:57 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.5532
03-04 14:40:57 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.5353
03-04 14:40:57 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.2665
03-04 14:40:57 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.5339000225067139 --> 0.5786200165748596
03-04 14:40:57 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:40:57 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 14:40:57 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.5300400257110596 --> 0.5778800249099731
03-04 14:40:57 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:40:57 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 14:40:57 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.5250200033187866 --> 0.5774199962615967
03-04 14:40:57 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:40:57 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 14:40:57 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.5197200179100037 --> 0.5763000249862671
03-04 14:40:57 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:40:57 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 14:40:57 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.5117800235748291 --> 0.5743600130081177
03-04 14:40:57 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:40:57 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 14:40:57 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.5039600133895874 --> 0.5696399807929993
03-04 14:40:57 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:40:57 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 14:40:57 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.49083998799324036 --> 0.5634599924087524
03-04 14:40:57 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:40:57 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 14:40:57 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.4719200134277344 --> 0.5531600117683411
03-04 14:40:57 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:40:57 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 14:40:57 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.4398399889469147 --> 0.535319983959198
03-04 14:40:57 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:40:57 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 14:40:57 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.1129399985074997 --> 0.2665199935436249
03-04 14:40:57 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:40:57 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 14:40:57 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 14:43:58 I ------------------
03-04 14:43:58 I Epoch 3 (E3_U3753_S3843072)
03-04 14:43:58 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 14:43:58 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 2.07113027
03-04 14:43:58 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 2.06708778
03-04 14:43:58 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 2.06649436
03-04 14:43:58 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 2.06993942
03-04 14:43:58 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 2.07928182
03-04 14:43:58 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 2.09665125
03-04 14:43:58 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 2.12665164
03-04 14:43:58 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 2.17837966
03-04 14:43:58 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 2.27641139
03-04 14:43:58 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 4.31456507
03-04 14:43:58 I loss/online/total: 23.34659262
03-04 14:44:08 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 14:44:09 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.5898
03-04 14:44:09 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.5915
03-04 14:44:09 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.5928
03-04 14:44:09 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.5928
03-04 14:44:09 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.5923
03-04 14:44:09 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.5926
03-04 14:44:09 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.5895
03-04 14:44:09 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.5849
03-04 14:44:09 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.5722
03-04 14:44:09 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.3678
03-04 14:44:09 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.5786200165748596 --> 0.5897799730300903
03-04 14:44:09 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:44:09 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 14:44:09 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.5778800249099731 --> 0.5915200114250183
03-04 14:44:09 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:44:09 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 14:44:09 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.5774199962615967 --> 0.5928000211715698
03-04 14:44:09 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:44:09 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 14:44:09 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.5763000249862671 --> 0.5928199887275696
03-04 14:44:09 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:44:09 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 14:44:09 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.5743600130081177 --> 0.5922799706459045
03-04 14:44:09 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:44:09 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 14:44:09 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.5696399807929993 --> 0.5926200151443481
03-04 14:44:09 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:44:09 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 14:44:09 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.5634599924087524 --> 0.589460015296936
03-04 14:44:09 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:44:09 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 14:44:09 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.5531600117683411 --> 0.5848600268363953
03-04 14:44:09 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:44:09 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 14:44:09 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.535319983959198 --> 0.572160005569458
03-04 14:44:09 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:44:09 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 14:44:09 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.2665199935436249 --> 0.36781999468803406
03-04 14:44:09 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:44:09 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 14:44:09 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 14:47:10 I ------------------
03-04 14:47:10 I Epoch 4 (E4_U5004_S5124096)
03-04 14:47:10 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 14:47:10 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 2.06308476
03-04 14:47:10 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 2.04387752
03-04 14:47:10 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 2.02777124
03-04 14:47:10 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 2.01565993
03-04 14:47:10 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 2.00842775
03-04 14:47:10 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 2.00811689
03-04 14:47:10 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 2.01781155
03-04 14:47:10 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 2.04402056
03-04 14:47:10 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 2.10423385
03-04 14:47:10 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 3.58038590
03-04 14:47:10 I loss/online/total: 21.91338998
03-04 14:47:19 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 14:47:20 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.5845
03-04 14:47:20 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.5872
03-04 14:47:20 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.5895
03-04 14:47:20 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.5915
03-04 14:47:20 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.5954
03-04 14:47:20 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.5971
03-04 14:47:20 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.5983
03-04 14:47:20 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.5971
03-04 14:47:21 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.5909
03-04 14:47:21 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.4291
03-04 14:47:21 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.5922799706459045 --> 0.5954200029373169
03-04 14:47:21 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:47:21 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 14:47:21 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.5926200151443481 --> 0.5970600247383118
03-04 14:47:21 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:47:21 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 14:47:21 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.589460015296936 --> 0.5983200073242188
03-04 14:47:21 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:47:21 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 14:47:21 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.5848600268363953 --> 0.5970600247383118
03-04 14:47:21 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:47:21 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 14:47:21 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.572160005569458 --> 0.5908600091934204
03-04 14:47:21 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:47:21 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 14:47:21 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.36781999468803406 --> 0.42910000681877136
03-04 14:47:21 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:47:21 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 14:47:21 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 14:50:22 I ------------------
03-04 14:50:22 I Epoch 5 (E5_U6255_S6405120)
03-04 14:50:22 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 14:50:22 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 2.10110852
03-04 14:50:22 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 2.06628322
03-04 14:50:22 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 2.03506183
03-04 14:50:22 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 2.00812937
03-04 14:50:22 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.98625284
03-04 14:50:22 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.97096666
03-04 14:50:22 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.96496886
03-04 14:50:22 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.97328740
03-04 14:50:22 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 2.01002530
03-04 14:50:22 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 3.14517403
03-04 14:50:22 I loss/online/total: 21.26125803
03-04 14:50:32 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 14:50:33 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.5867
03-04 14:50:33 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.5900
03-04 14:50:33 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.5929
03-04 14:50:33 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.5973
03-04 14:50:33 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6011
03-04 14:50:33 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6038
03-04 14:50:33 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6052
03-04 14:50:33 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6054
03-04 14:50:33 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6037
03-04 14:50:33 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.4670
03-04 14:50:33 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.5928000211715698 --> 0.5928599834442139
03-04 14:50:33 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:50:33 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 14:50:33 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.5928199887275696 --> 0.5973399877548218
03-04 14:50:33 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:50:33 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 14:50:33 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.5954200029373169 --> 0.6010599732398987
03-04 14:50:33 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:50:33 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 14:50:33 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.5970600247383118 --> 0.6037799715995789
03-04 14:50:33 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:50:33 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 14:50:33 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.5983200073242188 --> 0.6051599979400635
03-04 14:50:33 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:50:33 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 14:50:33 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.5970600247383118 --> 0.6054400205612183
03-04 14:50:33 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:50:33 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 14:50:33 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.5908600091934204 --> 0.6037200093269348
03-04 14:50:33 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:50:33 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 14:50:33 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.42910000681877136 --> 0.4670400023460388
03-04 14:50:33 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:50:33 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 14:50:33 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 14:53:34 I ------------------
03-04 14:53:34 I Epoch 6 (E6_U7506_S7686144)
03-04 14:53:34 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 14:53:34 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 2.11920491
03-04 14:53:34 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 2.07467132
03-04 14:53:34 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 2.03426929
03-04 14:53:34 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.99836198
03-04 14:53:34 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.96772456
03-04 14:53:34 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.94363405
03-04 14:53:34 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.92826226
03-04 14:53:34 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.92592280
03-04 14:53:34 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.94870350
03-04 14:53:34 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.87382565
03-04 14:53:34 I loss/online/total: 20.81458032
03-04 14:53:44 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 14:53:45 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.5912
03-04 14:53:45 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.5950
03-04 14:53:45 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.5981
03-04 14:53:45 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6029
03-04 14:53:45 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6074
03-04 14:53:45 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6121
03-04 14:53:45 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6150
03-04 14:53:45 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6156
03-04 14:53:45 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6139
03-04 14:53:45 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.4916
03-04 14:53:45 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.5897799730300903 --> 0.591159999370575
03-04 14:53:45 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:53:45 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 14:53:45 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.5915200114250183 --> 0.5950400233268738
03-04 14:53:45 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:53:45 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 14:53:45 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.5928599834442139 --> 0.5981199741363525
03-04 14:53:45 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:53:45 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 14:53:45 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.5973399877548218 --> 0.6028800010681152
03-04 14:53:45 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:53:45 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 14:53:45 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.6010599732398987 --> 0.6074399948120117
03-04 14:53:45 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:53:45 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 14:53:45 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.6037799715995789 --> 0.612060010433197
03-04 14:53:45 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:53:45 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 14:53:45 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.6051599979400635 --> 0.6150199770927429
03-04 14:53:45 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:53:45 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 14:53:45 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.6054400205612183 --> 0.6156399846076965
03-04 14:53:45 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:53:45 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 14:53:45 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.6037200093269348 --> 0.6139199733734131
03-04 14:53:45 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:53:45 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 14:53:45 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.4670400023460388 --> 0.49164000153541565
03-04 14:53:45 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:53:45 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 14:53:45 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 14:56:47 I ------------------
03-04 14:56:47 I Epoch 7 (E7_U8757_S8967168)
03-04 14:56:47 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 14:56:47 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 2.09468767
03-04 14:56:47 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 2.04876050
03-04 14:56:47 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 2.00693659
03-04 14:56:47 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.96960242
03-04 14:56:47 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.93729910
03-04 14:56:47 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.91102396
03-04 14:56:47 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.89294995
03-04 14:56:47 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.88688448
03-04 14:56:47 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.90356371
03-04 14:56:47 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.70559918
03-04 14:56:47 I loss/online/total: 20.35730758
03-04 14:56:57 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 14:56:58 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.5919
03-04 14:56:58 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.5965
03-04 14:56:58 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6020
03-04 14:56:58 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6061
03-04 14:56:58 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6104
03-04 14:56:58 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6144
03-04 14:56:58 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6179
03-04 14:56:58 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6204
03-04 14:56:58 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6195
03-04 14:56:58 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5087
03-04 14:56:58 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.591159999370575 --> 0.591920018196106
03-04 14:56:58 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:56:58 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 14:56:58 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.5950400233268738 --> 0.5964800119400024
03-04 14:56:58 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:56:58 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 14:56:58 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.5981199741363525 --> 0.6019600033760071
03-04 14:56:58 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:56:58 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 14:56:58 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.6028800010681152 --> 0.6061199903488159
03-04 14:56:58 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:56:58 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 14:56:58 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.6074399948120117 --> 0.6104400157928467
03-04 14:56:58 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:56:58 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 14:56:58 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.612060010433197 --> 0.614359974861145
03-04 14:56:58 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:56:58 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 14:56:58 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.6150199770927429 --> 0.6179400086402893
03-04 14:56:58 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:56:58 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 14:56:58 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.6156399846076965 --> 0.6204400062561035
03-04 14:56:58 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:56:58 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 14:56:58 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.6139199733734131 --> 0.6194800138473511
03-04 14:56:58 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:56:58 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 14:56:58 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.49164000153541565 --> 0.508679986000061
03-04 14:56:58 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 14:56:58 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 14:56:58 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 14:59:59 I ------------------
03-04 14:59:59 I Epoch 8 (E8_U10008_S10248192)
03-04 14:59:59 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 14:59:59 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 2.06836432
03-04 14:59:59 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 2.02178522
03-04 14:59:59 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.97934749
03-04 14:59:59 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.94126595
03-04 14:59:59 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.90808091
03-04 14:59:59 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.88088114
03-04 14:59:59 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.86131164
03-04 14:59:59 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.85301119
03-04 14:59:59 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.86589830
03-04 14:59:59 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.58809385
03-04 14:59:59 I loss/online/total: 19.96804004
03-04 15:00:09 I accuracy_logger_test_iter=0.01 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 15:00:10 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.5993
03-04 15:00:10 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6028
03-04 15:00:10 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6071
03-04 15:00:10 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6119
03-04 15:00:10 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6148
03-04 15:00:10 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6190
03-04 15:00:10 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6234
03-04 15:00:10 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6255
03-04 15:00:10 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6252
03-04 15:00:10 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5207
03-04 15:00:10 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.591920018196106 --> 0.5993000268936157
03-04 15:00:10 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:00:10 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 15:00:10 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.5964800119400024 --> 0.6027799844741821
03-04 15:00:10 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:00:10 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 15:00:10 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.6019600033760071 --> 0.6070600152015686
03-04 15:00:10 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:00:10 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 15:00:10 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.6061199903488159 --> 0.6118999719619751
03-04 15:00:10 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:00:10 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 15:00:10 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.6104400157928467 --> 0.6147800087928772
03-04 15:00:10 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:00:10 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 15:00:10 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.614359974861145 --> 0.6189600229263306
03-04 15:00:10 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:00:10 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 15:00:10 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.6179400086402893 --> 0.623420000076294
03-04 15:00:10 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:00:10 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 15:00:10 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.6204400062561035 --> 0.6254799962043762
03-04 15:00:10 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:00:10 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 15:00:10 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.6194800138473511 --> 0.6252400279045105
03-04 15:00:10 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:00:10 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 15:00:10 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.508679986000061 --> 0.5206800103187561
03-04 15:00:10 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:00:10 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 15:00:10 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 15:03:11 I ------------------
03-04 15:03:11 I Epoch 9 (E9_U11259_S11529216)
03-04 15:03:11 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 15:03:11 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 2.05347416
03-04 15:03:11 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 2.00663135
03-04 15:03:11 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.96369422
03-04 15:03:11 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.92499291
03-04 15:03:11 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.89085120
03-04 15:03:11 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.86242753
03-04 15:03:11 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.84136922
03-04 15:03:11 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.83119220
03-04 15:03:11 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.84113078
03-04 15:03:11 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.50521476
03-04 15:03:11 I loss/online/total: 19.72097833
03-04 15:03:21 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 15:03:22 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6012
03-04 15:03:22 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6055
03-04 15:03:22 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6099
03-04 15:03:22 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6153
03-04 15:03:22 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6194
03-04 15:03:22 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6238
03-04 15:03:22 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6271
03-04 15:03:22 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6295
03-04 15:03:22 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6277
03-04 15:03:22 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5322
03-04 15:03:22 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.5993000268936157 --> 0.6012399792671204
03-04 15:03:22 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:03:22 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 15:03:22 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.6027799844741821 --> 0.605459988117218
03-04 15:03:22 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:03:22 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 15:03:22 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.6070600152015686 --> 0.6098799705505371
03-04 15:03:22 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:03:22 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 15:03:22 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.6118999719619751 --> 0.615339994430542
03-04 15:03:22 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:03:22 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 15:03:22 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.6147800087928772 --> 0.619379997253418
03-04 15:03:22 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:03:22 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 15:03:22 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.6189600229263306 --> 0.6237800121307373
03-04 15:03:22 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:03:22 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 15:03:22 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.623420000076294 --> 0.6271200180053711
03-04 15:03:22 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:03:22 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 15:03:22 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.6254799962043762 --> 0.6294999718666077
03-04 15:03:22 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:03:22 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 15:03:22 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.6252400279045105 --> 0.6276599764823914
03-04 15:03:22 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:03:22 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 15:03:22 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.5206800103187561 --> 0.5321800112724304
03-04 15:03:22 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:03:22 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 15:03:22 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 15:06:24 I ------------------
03-04 15:06:24 I Epoch 10 (E10_U12510_S12810240)
03-04 15:06:24 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 15:06:24 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 2.03354819
03-04 15:06:24 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.98741077
03-04 15:06:24 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.94493336
03-04 15:06:24 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.90659454
03-04 15:06:24 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.87278186
03-04 15:06:24 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.84434816
03-04 15:06:24 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.82297647
03-04 15:06:24 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.81205876
03-04 15:06:24 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.82019778
03-04 15:06:24 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.43897904
03-04 15:06:24 I loss/online/total: 19.48382889
03-04 15:06:34 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 15:06:35 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6046
03-04 15:06:35 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6086
03-04 15:06:35 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6130
03-04 15:06:35 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6172
03-04 15:06:35 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6213
03-04 15:06:35 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6257
03-04 15:06:35 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6283
03-04 15:06:35 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6315
03-04 15:06:35 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6321
03-04 15:06:35 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5401
03-04 15:06:35 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.6012399792671204 --> 0.6046199798583984
03-04 15:06:35 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:06:35 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 15:06:35 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.605459988117218 --> 0.6086199879646301
03-04 15:06:35 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:06:35 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 15:06:35 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.6098799705505371 --> 0.6130200028419495
03-04 15:06:35 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:06:35 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 15:06:35 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.615339994430542 --> 0.6171799898147583
03-04 15:06:35 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:06:35 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 15:06:35 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.619379997253418 --> 0.6212800145149231
03-04 15:06:35 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:06:35 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 15:06:35 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.6237800121307373 --> 0.6257399916648865
03-04 15:06:35 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:06:35 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 15:06:35 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.6271200180053711 --> 0.6283199787139893
03-04 15:06:35 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:06:35 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 15:06:35 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.6294999718666077 --> 0.6315199732780457
03-04 15:06:35 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:06:35 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 15:06:35 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.6276599764823914 --> 0.6321200132369995
03-04 15:06:35 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:06:35 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 15:06:35 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.5321800112724304 --> 0.5400599837303162
03-04 15:06:35 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:06:35 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 15:06:35 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 15:09:37 I ------------------
03-04 15:09:37 I Epoch 11 (E11_U13761_S14091264)
03-04 15:09:37 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 15:09:37 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 2.01947428
03-04 15:09:37 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.97346129
03-04 15:09:37 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.93107037
03-04 15:09:37 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.89274615
03-04 15:09:37 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.85874808
03-04 15:09:37 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.83007606
03-04 15:09:37 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.80826151
03-04 15:09:37 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.79635065
03-04 15:09:37 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.80273087
03-04 15:09:37 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.38652990
03-04 15:09:37 I loss/online/total: 19.29944916
03-04 15:09:47 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 15:09:48 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6025
03-04 15:09:48 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6063
03-04 15:09:48 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6103
03-04 15:09:48 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6145
03-04 15:09:48 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6185
03-04 15:09:48 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6229
03-04 15:09:48 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6281
03-04 15:09:48 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6314
03-04 15:09:48 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6337
03-04 15:09:48 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5469
03-04 15:09:48 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.6321200132369995 --> 0.6337400078773499
03-04 15:09:48 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:09:48 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 15:09:48 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.5400599837303162 --> 0.5469200015068054
03-04 15:09:48 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:09:48 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 15:09:48 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 15:12:50 I ------------------
03-04 15:12:50 I Epoch 12 (E12_U15012_S15372288)
03-04 15:12:50 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 15:12:50 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 2.00561368
03-04 15:12:50 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.96037403
03-04 15:12:50 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.91859311
03-04 15:12:50 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.88076105
03-04 15:12:50 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.84709269
03-04 15:12:50 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.81856352
03-04 15:12:50 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.79653079
03-04 15:12:50 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.78417878
03-04 15:12:50 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.78945300
03-04 15:12:50 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.34465302
03-04 15:12:50 I loss/online/total: 19.14581364
03-04 15:13:00 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 15:13:01 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6070
03-04 15:13:01 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6109
03-04 15:13:01 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6155
03-04 15:13:01 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6205
03-04 15:13:01 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6252
03-04 15:13:01 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6300
03-04 15:13:01 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6327
03-04 15:13:01 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6350
03-04 15:13:01 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6354
03-04 15:13:01 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5522
03-04 15:13:01 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.6046199798583984 --> 0.6069999933242798
03-04 15:13:01 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:13:01 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 15:13:01 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.6086199879646301 --> 0.6109200119972229
03-04 15:13:01 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:13:01 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 15:13:01 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.6130200028419495 --> 0.6154999732971191
03-04 15:13:01 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:13:01 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 15:13:01 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.6171799898147583 --> 0.6205400228500366
03-04 15:13:01 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:13:01 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 15:13:01 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.6212800145149231 --> 0.6252400279045105
03-04 15:13:01 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:13:01 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 15:13:01 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.6257399916648865 --> 0.6300399899482727
03-04 15:13:01 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:13:01 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 15:13:01 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.6283199787139893 --> 0.6326599717140198
03-04 15:13:01 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:13:01 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 15:13:01 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.6315199732780457 --> 0.6349599957466125
03-04 15:13:01 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:13:01 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 15:13:01 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.6337400078773499 --> 0.6353600025177002
03-04 15:13:01 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:13:01 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 15:13:01 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.5469200015068054 --> 0.5522400140762329
03-04 15:13:01 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:13:01 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 15:13:01 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 15:16:03 I ------------------
03-04 15:16:03 I Epoch 13 (E13_U16263_S16653312)
03-04 15:16:03 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 15:16:03 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.99214018
03-04 15:16:03 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.94749689
03-04 15:16:03 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.90626817
03-04 15:16:03 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.86893105
03-04 15:16:03 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.83558294
03-04 15:16:03 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.80725724
03-04 15:16:03 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.78522341
03-04 15:16:03 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.77252118
03-04 15:16:03 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.77692881
03-04 15:16:03 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.30850229
03-04 15:16:03 I loss/online/total: 19.00085215
03-04 15:16:13 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 15:16:14 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6093
03-04 15:16:14 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6135
03-04 15:16:14 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6179
03-04 15:16:14 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6220
03-04 15:16:14 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6268
03-04 15:16:14 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6304
03-04 15:16:14 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6346
03-04 15:16:14 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6383
03-04 15:16:14 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6383
03-04 15:16:14 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5568
03-04 15:16:14 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.6069999933242798 --> 0.6093199849128723
03-04 15:16:14 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:16:14 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 15:16:14 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.6109200119972229 --> 0.6134799718856812
03-04 15:16:14 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:16:14 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 15:16:14 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.6154999732971191 --> 0.617900013923645
03-04 15:16:14 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:16:14 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 15:16:14 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.6205400228500366 --> 0.6220200061798096
03-04 15:16:14 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:16:14 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 15:16:14 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.6252400279045105 --> 0.6268200278282166
03-04 15:16:14 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:16:14 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 15:16:14 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.6300399899482727 --> 0.6303799748420715
03-04 15:16:14 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:16:14 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 15:16:14 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.6326599717140198 --> 0.6345599889755249
03-04 15:16:14 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:16:14 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 15:16:14 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.6349599957466125 --> 0.6383399963378906
03-04 15:16:14 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:16:14 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 15:16:14 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.6353600025177002 --> 0.638260006904602
03-04 15:16:14 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:16:14 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 15:16:14 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.5522400140762329 --> 0.5567799806594849
03-04 15:16:14 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:16:14 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 15:16:14 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 15:19:16 I ------------------
03-04 15:19:16 I Epoch 14 (E14_U17514_S17934336)
03-04 15:19:16 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 15:19:16 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.97728451
03-04 15:19:16 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.93386419
03-04 15:19:16 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.89369773
03-04 15:19:16 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.85712349
03-04 15:19:16 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.82451177
03-04 15:19:16 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.79669027
03-04 15:19:16 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.77499871
03-04 15:19:16 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.76232560
03-04 15:19:16 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.76619339
03-04 15:19:16 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.27857124
03-04 15:19:16 I loss/online/total: 18.86526090
03-04 15:19:26 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 15:19:27 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6113
03-04 15:19:27 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6157
03-04 15:19:27 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6209
03-04 15:19:27 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6245
03-04 15:19:27 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6284
03-04 15:19:27 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6324
03-04 15:19:27 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6359
03-04 15:19:27 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6385
03-04 15:19:27 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6397
03-04 15:19:27 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5621
03-04 15:19:27 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.6093199849128723 --> 0.6113399863243103
03-04 15:19:27 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:19:27 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 15:19:27 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.6134799718856812 --> 0.6156799793243408
03-04 15:19:27 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:19:27 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 15:19:27 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.617900013923645 --> 0.6209400296211243
03-04 15:19:27 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:19:27 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 15:19:27 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.6220200061798096 --> 0.6245200037956238
03-04 15:19:27 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:19:27 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 15:19:27 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.6268200278282166 --> 0.6283599734306335
03-04 15:19:27 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:19:27 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 15:19:27 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.6303799748420715 --> 0.6323800086975098
03-04 15:19:27 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:19:27 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 15:19:27 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.6345599889755249 --> 0.6359000205993652
03-04 15:19:27 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:19:27 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 15:19:27 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.6383399963378906 --> 0.6385400295257568
03-04 15:19:27 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:19:27 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 15:19:27 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.638260006904602 --> 0.639739990234375
03-04 15:19:27 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:19:27 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 15:19:27 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.5567799806594849 --> 0.5620800256729126
03-04 15:19:27 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:19:27 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 15:19:27 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 15:22:30 I ------------------
03-04 15:22:30 I Epoch 15 (E15_U18765_S19215360)
03-04 15:22:30 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 15:22:30 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.95713716
03-04 15:22:30 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.91508851
03-04 15:22:30 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.87624999
03-04 15:22:30 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.84087534
03-04 15:22:30 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.80933560
03-04 15:22:30 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.78238048
03-04 15:22:30 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.76142739
03-04 15:22:30 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.74921783
03-04 15:22:30 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.75313644
03-04 15:22:30 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.24992972
03-04 15:22:30 I loss/online/total: 18.69477848
03-04 15:22:39 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 15:22:41 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6138
03-04 15:22:41 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6182
03-04 15:22:41 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6224
03-04 15:22:41 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6260
03-04 15:22:41 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6301
03-04 15:22:41 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6339
03-04 15:22:41 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6362
03-04 15:22:41 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6392
03-04 15:22:41 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6406
03-04 15:22:41 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5659
03-04 15:22:41 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.6113399863243103 --> 0.6137999892234802
03-04 15:22:41 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:22:41 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 15:22:41 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.6156799793243408 --> 0.618179976940155
03-04 15:22:41 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:22:41 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 15:22:41 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.6209400296211243 --> 0.6223800182342529
03-04 15:22:41 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:22:41 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 15:22:41 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.6245200037956238 --> 0.6260200142860413
03-04 15:22:41 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:22:41 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 15:22:41 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.6283599734306335 --> 0.6301000118255615
03-04 15:22:41 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:22:41 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 15:22:41 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.6323800086975098 --> 0.6338599920272827
03-04 15:22:41 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:22:41 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 15:22:41 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.6359000205993652 --> 0.6362000107765198
03-04 15:22:41 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:22:41 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 15:22:41 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.6385400295257568 --> 0.639240026473999
03-04 15:22:41 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:22:41 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 15:22:41 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.639739990234375 --> 0.64055997133255
03-04 15:22:41 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:22:41 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 15:22:41 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.5620800256729126 --> 0.5658599734306335
03-04 15:22:41 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:22:41 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 15:22:41 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 15:25:43 I ------------------
03-04 15:25:43 I Epoch 16 (E16_U20016_S20496384)
03-04 15:25:43 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 15:25:43 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.94664644
03-04 15:25:43 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.90568497
03-04 15:25:43 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.86776625
03-04 15:25:43 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.83318547
03-04 15:25:43 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.80220922
03-04 15:25:43 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.77583254
03-04 15:25:43 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.75520120
03-04 15:25:43 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.74315544
03-04 15:25:43 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.74680527
03-04 15:25:43 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.22878623
03-04 15:25:43 I loss/online/total: 18.60527301
03-04 15:25:52 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 15:25:53 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6158
03-04 15:25:53 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6196
03-04 15:25:53 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6235
03-04 15:25:53 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6286
03-04 15:25:53 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6325
03-04 15:25:53 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6347
03-04 15:25:53 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6383
03-04 15:25:53 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6407
03-04 15:25:53 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6421
03-04 15:25:53 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5685
03-04 15:25:54 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.6137999892234802 --> 0.6157799959182739
03-04 15:25:54 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:25:54 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 15:25:54 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.618179976940155 --> 0.6196200251579285
03-04 15:25:54 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:25:54 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 15:25:54 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.6223800182342529 --> 0.623520016670227
03-04 15:25:54 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:25:54 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 15:25:54 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.6260200142860413 --> 0.6285600066184998
03-04 15:25:54 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:25:54 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 15:25:54 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.6301000118255615 --> 0.6325399875640869
03-04 15:25:54 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:25:54 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 15:25:54 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.6338599920272827 --> 0.634660005569458
03-04 15:25:54 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:25:54 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 15:25:54 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.6362000107765198 --> 0.6383200287818909
03-04 15:25:54 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:25:54 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 15:25:54 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.639240026473999 --> 0.6406999826431274
03-04 15:25:54 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:25:54 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 15:25:54 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.64055997133255 --> 0.6421399712562561
03-04 15:25:54 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:25:54 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 15:25:54 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.5658599734306335 --> 0.5685399770736694
03-04 15:25:54 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:25:54 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 15:25:54 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 15:28:55 I ------------------
03-04 15:28:55 I Epoch 17 (E17_U21267_S21777408)
03-04 15:28:55 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 15:28:55 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.92851450
03-04 15:28:55 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.88909193
03-04 15:28:55 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.85264182
03-04 15:28:55 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.81945044
03-04 15:28:55 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.78975070
03-04 15:28:55 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.76432312
03-04 15:28:55 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.74437899
03-04 15:28:55 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.73273462
03-04 15:28:55 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.73624106
03-04 15:28:55 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.20697001
03-04 15:28:55 I loss/online/total: 18.46409715
03-04 15:29:05 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 15:29:06 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6167
03-04 15:29:06 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6200
03-04 15:29:06 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6243
03-04 15:29:06 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6272
03-04 15:29:06 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6310
03-04 15:29:06 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6349
03-04 15:29:06 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6386
03-04 15:29:06 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6414
03-04 15:29:06 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6428
03-04 15:29:06 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5720
03-04 15:29:06 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.6157799959182739 --> 0.6166599988937378
03-04 15:29:06 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:29:06 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 15:29:06 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.6196200251579285 --> 0.619979977607727
03-04 15:29:06 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:29:06 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 15:29:06 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.623520016670227 --> 0.6243000030517578
03-04 15:29:06 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:29:06 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 15:29:06 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.634660005569458 --> 0.6349400281906128
03-04 15:29:06 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:29:06 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 15:29:06 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.6383200287818909 --> 0.6386399865150452
03-04 15:29:06 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:29:06 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 15:29:06 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.6406999826431274 --> 0.6413999795913696
03-04 15:29:06 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:29:06 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 15:29:06 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.6421399712562561 --> 0.6427599787712097
03-04 15:29:06 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:29:06 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 15:29:06 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.5685399770736694 --> 0.5719799995422363
03-04 15:29:06 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:29:06 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 15:29:06 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 15:32:07 I ------------------
03-04 15:32:07 I Epoch 18 (E18_U22518_S23058432)
03-04 15:32:07 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 15:32:07 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.91058131
03-04 15:32:07 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.87305438
03-04 15:32:07 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.83832373
03-04 15:32:07 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.80664771
03-04 15:32:07 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.77826832
03-04 15:32:07 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.75407955
03-04 15:32:07 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.73511881
03-04 15:32:07 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.72417781
03-04 15:32:07 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.72808350
03-04 15:32:07 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.18829524
03-04 15:32:07 I loss/online/total: 18.33663036
03-04 15:32:17 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 15:32:17 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6200
03-04 15:32:17 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6233
03-04 15:32:17 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6269
03-04 15:32:18 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6299
03-04 15:32:18 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6333
03-04 15:32:18 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6367
03-04 15:32:18 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6397
03-04 15:32:18 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6415
03-04 15:32:18 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6421
03-04 15:32:18 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5740
03-04 15:32:18 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.6166599988937378 --> 0.6200000047683716
03-04 15:32:18 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:32:18 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 15:32:18 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.619979977607727 --> 0.6232600212097168
03-04 15:32:18 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:32:18 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 15:32:18 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.6243000030517578 --> 0.6269000172615051
03-04 15:32:18 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:32:18 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 15:32:18 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.6285600066184998 --> 0.6299399733543396
03-04 15:32:18 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:32:18 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 15:32:18 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.6325399875640869 --> 0.6333000063896179
03-04 15:32:18 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:32:18 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 15:32:18 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.6349400281906128 --> 0.6367400288581848
03-04 15:32:18 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:32:18 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 15:32:18 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.6386399865150452 --> 0.6396600008010864
03-04 15:32:18 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:32:18 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 15:32:18 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.6413999795913696 --> 0.641539990901947
03-04 15:32:18 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:32:18 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 15:32:18 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.5719799995422363 --> 0.5740200281143188
03-04 15:32:18 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:32:18 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 15:32:18 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 15:35:20 I ------------------
03-04 15:35:20 I Epoch 19 (E19_U23769_S24339456)
03-04 15:35:20 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 15:35:20 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.89561582
03-04 15:35:20 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.85957549
03-04 15:35:20 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.82627172
03-04 15:35:20 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.79590276
03-04 15:35:20 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.76876573
03-04 15:35:20 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.74551626
03-04 15:35:20 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.72746833
03-04 15:35:20 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.71722401
03-04 15:35:20 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.72153444
03-04 15:35:20 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.17336443
03-04 15:35:20 I loss/online/total: 18.23123899
03-04 15:35:29 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 15:35:31 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6230
03-04 15:35:31 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6261
03-04 15:35:31 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6293
03-04 15:35:31 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6325
03-04 15:35:31 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6362
03-04 15:35:31 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6402
03-04 15:35:31 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6435
03-04 15:35:31 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6457
03-04 15:35:31 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6459
03-04 15:35:31 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5762
03-04 15:35:31 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.6200000047683716 --> 0.6230199933052063
03-04 15:35:31 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:35:31 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 15:35:31 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.6232600212097168 --> 0.6260600090026855
03-04 15:35:31 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:35:31 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 15:35:31 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.6269000172615051 --> 0.6292999982833862
03-04 15:35:31 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:35:31 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 15:35:31 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.6299399733543396 --> 0.6325399875640869
03-04 15:35:31 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:35:31 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 15:35:31 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.6333000063896179 --> 0.6362400054931641
03-04 15:35:31 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:35:31 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 15:35:31 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.6367400288581848 --> 0.6401799917221069
03-04 15:35:31 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:35:31 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 15:35:31 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.6396600008010864 --> 0.6434599757194519
03-04 15:35:31 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:35:31 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 15:35:31 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.641539990901947 --> 0.6456599831581116
03-04 15:35:31 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:35:31 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 15:35:31 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.6427599787712097 --> 0.6459199786186218
03-04 15:35:31 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:35:31 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 15:35:31 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.5740200281143188 --> 0.576200008392334
03-04 15:35:31 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:35:31 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 15:35:31 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 15:38:33 I ------------------
03-04 15:38:33 I Epoch 20 (E20_U25020_S25620480)
03-04 15:38:33 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 15:38:33 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.87816879
03-04 15:38:33 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.84386781
03-04 15:38:33 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.81209131
03-04 15:38:33 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.78306065
03-04 15:38:33 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.75705515
03-04 15:38:33 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.73487250
03-04 15:38:33 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.71766604
03-04 15:38:33 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.70813850
03-04 15:38:33 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.71282579
03-04 15:38:33 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.15633697
03-04 15:38:33 I loss/online/total: 18.10408352
03-04 15:38:43 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 15:38:44 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6244
03-04 15:38:44 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6285
03-04 15:38:44 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6317
03-04 15:38:44 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6347
03-04 15:38:44 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6379
03-04 15:38:44 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6410
03-04 15:38:44 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6437
03-04 15:38:44 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6463
03-04 15:38:44 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6473
03-04 15:38:44 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5787
03-04 15:38:44 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.6230199933052063 --> 0.6244199872016907
03-04 15:38:44 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:38:44 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 15:38:44 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.6260600090026855 --> 0.6284999847412109
03-04 15:38:44 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:38:44 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 15:38:44 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.6292999982833862 --> 0.631659984588623
03-04 15:38:44 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:38:44 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 15:38:44 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.6325399875640869 --> 0.6347200274467468
03-04 15:38:44 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:38:44 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 15:38:44 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.6362400054931641 --> 0.6378999948501587
03-04 15:38:44 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:38:44 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 15:38:44 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.6401799917221069 --> 0.640999972820282
03-04 15:38:44 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:38:44 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 15:38:44 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.6434599757194519 --> 0.6437399983406067
03-04 15:38:44 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:38:44 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 15:38:44 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.6456599831581116 --> 0.646340012550354
03-04 15:38:44 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:38:44 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 15:38:44 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.6459199786186218 --> 0.6473000049591064
03-04 15:38:44 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:38:44 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 15:38:44 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.576200008392334 --> 0.5786600112915039
03-04 15:38:44 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:38:44 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 15:38:44 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 15:41:45 I ------------------
03-04 15:41:45 I Epoch 21 (E21_U26271_S26901504)
03-04 15:41:45 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 15:41:45 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.85996060
03-04 15:41:45 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.82782341
03-04 15:41:45 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.79805491
03-04 15:41:45 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.77096778
03-04 15:41:45 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.74662956
03-04 15:41:45 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.72600221
03-04 15:41:45 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.71011763
03-04 15:41:45 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.70161698
03-04 15:41:45 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.70704655
03-04 15:41:45 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.14410277
03-04 15:41:45 I loss/online/total: 17.99232240
03-04 15:41:55 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 15:41:56 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6258
03-04 15:41:56 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6286
03-04 15:41:56 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6323
03-04 15:41:56 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6361
03-04 15:41:56 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6395
03-04 15:41:56 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6427
03-04 15:41:56 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6457
03-04 15:41:56 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6469
03-04 15:41:56 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6468
03-04 15:41:56 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5808
03-04 15:41:56 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.6244199872016907 --> 0.625760018825531
03-04 15:41:56 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:41:56 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 15:41:56 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.6284999847412109 --> 0.6286200284957886
03-04 15:41:56 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:41:56 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 15:41:56 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.631659984588623 --> 0.6322799921035767
03-04 15:41:56 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:41:56 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 15:41:56 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.6347200274467468 --> 0.6360599994659424
03-04 15:41:56 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:41:56 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 15:41:56 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.6378999948501587 --> 0.6394799947738647
03-04 15:41:56 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:41:56 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 15:41:56 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.640999972820282 --> 0.64274001121521
03-04 15:41:56 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:41:56 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 15:41:56 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.6437399983406067 --> 0.6456599831581116
03-04 15:41:56 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:41:56 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 15:41:56 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.646340012550354 --> 0.6468999981880188
03-04 15:41:56 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:41:56 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 15:41:56 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.5786600112915039 --> 0.5807600021362305
03-04 15:41:56 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:41:56 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 15:41:56 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 15:44:58 I ------------------
03-04 15:44:58 I Epoch 22 (E22_U27522_S28182528)
03-04 15:44:58 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 15:44:58 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.84294135
03-04 15:44:58 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.81266488
03-04 15:44:58 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.78450638
03-04 15:44:58 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.75879479
03-04 15:44:58 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.73583615
03-04 15:44:58 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.71640947
03-04 15:44:58 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.70162649
03-04 15:44:58 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.69405331
03-04 15:44:58 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.70013621
03-04 15:44:58 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.13250415
03-04 15:44:58 I loss/online/total: 17.87947316
03-04 15:45:08 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 15:45:09 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6268
03-04 15:45:09 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6299
03-04 15:45:09 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6326
03-04 15:45:09 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6349
03-04 15:45:09 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6389
03-04 15:45:09 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6414
03-04 15:45:09 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6447
03-04 15:45:09 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6464
03-04 15:45:09 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6471
03-04 15:45:09 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5825
03-04 15:45:09 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.625760018825531 --> 0.6267799735069275
03-04 15:45:09 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:45:09 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 15:45:09 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.6286200284957886 --> 0.6299200057983398
03-04 15:45:09 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:45:09 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 15:45:09 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.6322799921035767 --> 0.63264000415802
03-04 15:45:09 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:45:09 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 15:45:09 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.5807600021362305 --> 0.5824999809265137
03-04 15:45:09 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:45:09 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 15:45:09 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 15:48:11 I ------------------
03-04 15:48:11 I Epoch 23 (E23_U28773_S29463552)
03-04 15:48:11 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 15:48:11 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.82734161
03-04 15:48:11 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.79889996
03-04 15:48:11 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.77258386
03-04 15:48:11 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.74852276
03-04 15:48:11 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.72711828
03-04 15:48:11 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.70908132
03-04 15:48:11 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.69548800
03-04 15:48:11 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.68894184
03-04 15:48:11 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.69574869
03-04 15:48:11 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.12313992
03-04 15:48:11 I loss/online/total: 17.78686621
03-04 15:48:21 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 15:48:22 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6271
03-04 15:48:22 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6315
03-04 15:48:22 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6345
03-04 15:48:22 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6385
03-04 15:48:22 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6411
03-04 15:48:22 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6440
03-04 15:48:22 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6456
03-04 15:48:22 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6479
03-04 15:48:22 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6483
03-04 15:48:22 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5842
03-04 15:48:22 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.6267799735069275 --> 0.6270800232887268
03-04 15:48:22 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:48:22 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 15:48:22 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.6299200057983398 --> 0.6315400004386902
03-04 15:48:22 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:48:22 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 15:48:22 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.63264000415802 --> 0.6345400214195251
03-04 15:48:22 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:48:22 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 15:48:22 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.6360599994659424 --> 0.6385400295257568
03-04 15:48:22 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:48:22 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 15:48:22 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.6394799947738647 --> 0.6410800218582153
03-04 15:48:22 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:48:22 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 15:48:22 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.64274001121521 --> 0.6440200209617615
03-04 15:48:22 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:48:22 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 15:48:22 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.6468999981880188 --> 0.6478800177574158
03-04 15:48:22 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:48:22 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 15:48:22 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.6473000049591064 --> 0.6483399868011475
03-04 15:48:22 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:48:22 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 15:48:22 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.5824999809265137 --> 0.5841799974441528
03-04 15:48:22 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:48:22 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 15:48:22 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 15:51:25 I ------------------
03-04 15:51:25 I Epoch 24 (E24_U30024_S30744576)
03-04 15:51:25 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 15:51:25 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.80855936
03-04 15:51:25 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.78215782
03-04 15:51:25 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.75770599
03-04 15:51:25 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.73536934
03-04 15:51:25 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.71554341
03-04 15:51:25 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.69895016
03-04 15:51:25 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.68667026
03-04 15:51:25 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.68124394
03-04 15:51:25 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.68903384
03-04 15:51:25 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.11243766
03-04 15:51:25 I loss/online/total: 17.66767177
03-04 15:51:35 I accuracy_logger_test_iter=0.01 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 15:51:36 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6302
03-04 15:51:36 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6334
03-04 15:51:36 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6364
03-04 15:51:36 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6396
03-04 15:51:36 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6426
03-04 15:51:36 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6454
03-04 15:51:36 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6484
03-04 15:51:36 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6495
03-04 15:51:36 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6490
03-04 15:51:36 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5861
03-04 15:51:36 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.6270800232887268 --> 0.6302400231361389
03-04 15:51:36 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:51:36 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 15:51:36 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.6315400004386902 --> 0.633400022983551
03-04 15:51:36 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:51:36 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 15:51:36 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.6345400214195251 --> 0.6364200115203857
03-04 15:51:36 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:51:36 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 15:51:36 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.6385400295257568 --> 0.6396200060844421
03-04 15:51:36 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:51:36 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 15:51:36 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.6410800218582153 --> 0.642579972743988
03-04 15:51:36 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:51:36 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 15:51:36 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.6440200209617615 --> 0.6453999876976013
03-04 15:51:36 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:51:36 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 15:51:36 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.6456599831581116 --> 0.6484400033950806
03-04 15:51:36 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:51:36 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 15:51:36 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.6478800177574158 --> 0.6494600176811218
03-04 15:51:36 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:51:36 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 15:51:36 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.6483399868011475 --> 0.6490399837493896
03-04 15:51:36 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:51:36 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 15:51:36 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.5841799974441528 --> 0.586080014705658
03-04 15:51:36 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:51:36 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 15:51:36 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 15:54:39 I ------------------
03-04 15:54:39 I Epoch 25 (E25_U31275_S32025600)
03-04 15:54:39 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 15:54:39 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.79022435
03-04 15:54:39 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.76566071
03-04 15:54:39 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.74295255
03-04 15:54:39 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.72228566
03-04 15:54:39 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.70396270
03-04 15:54:39 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.68871214
03-04 15:54:39 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.67767422
03-04 15:54:39 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.67335363
03-04 15:54:39 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.68199660
03-04 15:54:39 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.10262051
03-04 15:54:39 I loss/online/total: 17.54944307
03-04 15:54:49 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 15:54:50 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6322
03-04 15:54:50 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6360
03-04 15:54:50 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6394
03-04 15:54:50 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6423
03-04 15:54:50 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6448
03-04 15:54:50 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6467
03-04 15:54:50 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6488
03-04 15:54:50 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6505
03-04 15:54:50 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6516
03-04 15:54:50 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5879
03-04 15:54:50 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.6302400231361389 --> 0.6321600079536438
03-04 15:54:50 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:54:50 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 15:54:50 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.633400022983551 --> 0.6359800100326538
03-04 15:54:50 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:54:50 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 15:54:50 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.6364200115203857 --> 0.6393799781799316
03-04 15:54:50 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:54:50 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 15:54:50 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.6396200060844421 --> 0.6422799825668335
03-04 15:54:50 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:54:50 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 15:54:50 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.642579972743988 --> 0.644819974899292
03-04 15:54:50 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:54:50 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 15:54:50 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.6453999876976013 --> 0.6466799974441528
03-04 15:54:50 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:54:50 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 15:54:50 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.6484400033950806 --> 0.6487799882888794
03-04 15:54:50 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:54:50 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 15:54:50 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.6494600176811218 --> 0.6505399942398071
03-04 15:54:50 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:54:50 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 15:54:50 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.6490399837493896 --> 0.6515600085258484
03-04 15:54:50 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:54:50 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 15:54:50 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.586080014705658 --> 0.587939977645874
03-04 15:54:50 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:54:50 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 15:54:50 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 15:57:52 I ------------------
03-04 15:57:52 I Epoch 26 (E26_U32526_S33306624)
03-04 15:57:52 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 15:57:52 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.77450400
03-04 15:57:52 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.75198987
03-04 15:57:52 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.73110225
03-04 15:57:52 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.71204763
03-04 15:57:52 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.69527522
03-04 15:57:52 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.68143552
03-04 15:57:52 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.67164884
03-04 15:57:52 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.66846952
03-04 15:57:52 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.67802220
03-04 15:57:52 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.09546212
03-04 15:57:52 I loss/online/total: 17.45995719
03-04 15:58:02 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 15:58:03 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6363
03-04 15:58:03 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6385
03-04 15:58:03 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6406
03-04 15:58:03 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6428
03-04 15:58:03 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6450
03-04 15:58:03 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6462
03-04 15:58:03 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6486
03-04 15:58:03 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6494
03-04 15:58:03 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6507
03-04 15:58:03 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5890
03-04 15:58:03 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.6321600079536438 --> 0.6362800002098083
03-04 15:58:03 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:58:03 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 15:58:03 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.6359800100326538 --> 0.638480007648468
03-04 15:58:03 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:58:03 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 15:58:03 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.6393799781799316 --> 0.6406400203704834
03-04 15:58:03 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:58:03 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 15:58:03 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.6422799825668335 --> 0.6427800059318542
03-04 15:58:03 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:58:03 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 15:58:03 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.644819974899292 --> 0.6449599862098694
03-04 15:58:03 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:58:03 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 15:58:03 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.587939977645874 --> 0.5889599919319153
03-04 15:58:03 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 15:58:03 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 15:58:03 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 16:01:06 I ------------------
03-04 16:01:06 I Epoch 27 (E27_U33777_S34587648)
03-04 16:01:06 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 16:01:06 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.75631081
03-04 16:01:06 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.73570288
03-04 16:01:06 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.71669565
03-04 16:01:06 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.69944153
03-04 16:01:06 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.68427172
03-04 16:01:06 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.67197951
03-04 16:01:06 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.66365678
03-04 16:01:06 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.66175598
03-04 16:01:06 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.67236368
03-04 16:01:06 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.08787034
03-04 16:01:06 I loss/online/total: 17.35004889
03-04 16:01:16 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 16:01:17 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6370
03-04 16:01:17 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6396
03-04 16:01:17 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6423
03-04 16:01:17 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6457
03-04 16:01:17 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6483
03-04 16:01:17 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6498
03-04 16:01:17 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6518
03-04 16:01:17 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6521
03-04 16:01:17 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6525
03-04 16:01:17 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5902
03-04 16:01:17 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.6362800002098083 --> 0.6370199918746948
03-04 16:01:17 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:01:17 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 16:01:17 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.638480007648468 --> 0.6396200060844421
03-04 16:01:17 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:01:17 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 16:01:17 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.6406400203704834 --> 0.6422799825668335
03-04 16:01:17 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:01:17 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 16:01:17 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.6427800059318542 --> 0.6457399725914001
03-04 16:01:17 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:01:17 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 16:01:17 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.6449599862098694 --> 0.6482599973678589
03-04 16:01:17 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:01:17 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 16:01:17 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.6466799974441528 --> 0.6497799754142761
03-04 16:01:17 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:01:17 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 16:01:17 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.6487799882888794 --> 0.6518399715423584
03-04 16:01:17 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:01:17 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 16:01:17 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.6505399942398071 --> 0.6520599722862244
03-04 16:01:17 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:01:17 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 16:01:17 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.6515600085258484 --> 0.6525200009346008
03-04 16:01:17 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:01:17 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 16:01:17 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.5889599919319153 --> 0.5902000069618225
03-04 16:01:17 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:01:17 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 16:01:17 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 16:04:19 I ------------------
03-04 16:04:19 I Epoch 28 (E28_U35028_S35868672)
03-04 16:04:19 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 16:04:19 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.73929388
03-04 16:04:19 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.72048915
03-04 16:04:19 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.70306852
03-04 16:04:19 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.68731863
03-04 16:04:19 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.67362652
03-04 16:04:19 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.66265335
03-04 16:04:19 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.65553215
03-04 16:04:19 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.65461889
03-04 16:04:19 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.66616942
03-04 16:04:19 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.07973036
03-04 16:04:19 I loss/online/total: 17.24250087
03-04 16:04:29 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 16:04:30 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6378
03-04 16:04:30 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6398
03-04 16:04:30 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6424
03-04 16:04:30 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6449
03-04 16:04:30 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6470
03-04 16:04:30 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6489
03-04 16:04:30 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6517
03-04 16:04:30 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6532
03-04 16:04:30 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6520
03-04 16:04:30 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5908
03-04 16:04:30 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.6370199918746948 --> 0.6378200054168701
03-04 16:04:30 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:04:30 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 16:04:30 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.6396200060844421 --> 0.6398400068283081
03-04 16:04:30 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:04:30 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 16:04:30 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.6422799825668335 --> 0.6424199938774109
03-04 16:04:30 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:04:30 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 16:04:30 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.6520599722862244 --> 0.6531599760055542
03-04 16:04:30 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:04:30 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 16:04:30 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.5902000069618225 --> 0.5907800197601318
03-04 16:04:30 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:04:30 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 16:04:30 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 16:07:33 I ------------------
03-04 16:07:33 I Epoch 29 (E29_U36279_S37149696)
03-04 16:07:33 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 16:07:33 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.72575743
03-04 16:07:33 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.70870962
03-04 16:07:33 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.69298873
03-04 16:07:33 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.67882764
03-04 16:07:33 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.66659495
03-04 16:07:33 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.65697131
03-04 16:07:33 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.65107981
03-04 16:07:33 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.65128632
03-04 16:07:33 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.66372639
03-04 16:07:33 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.07569245
03-04 16:07:33 I loss/online/total: 17.17163463
03-04 16:07:43 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 16:07:44 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6430
03-04 16:07:44 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6440
03-04 16:07:44 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6466
03-04 16:07:44 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6492
03-04 16:07:44 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6513
03-04 16:07:44 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6530
03-04 16:07:44 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6553
03-04 16:07:44 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6549
03-04 16:07:44 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6539
03-04 16:07:44 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5923
03-04 16:07:44 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.6378200054168701 --> 0.6429600119590759
03-04 16:07:44 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:07:44 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 16:07:44 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.6398400068283081 --> 0.6439599990844727
03-04 16:07:44 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:07:44 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 16:07:44 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.6424199938774109 --> 0.646619975566864
03-04 16:07:44 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:07:44 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 16:07:44 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.6457399725914001 --> 0.6491600275039673
03-04 16:07:44 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:07:44 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 16:07:44 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.6482599973678589 --> 0.6512799859046936
03-04 16:07:44 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:07:44 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 16:07:44 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.6497799754142761 --> 0.6530399918556213
03-04 16:07:44 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:07:44 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 16:07:44 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.6518399715423584 --> 0.6552600264549255
03-04 16:07:44 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:07:44 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 16:07:44 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.6531599760055542 --> 0.6548600196838379
03-04 16:07:44 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:07:44 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 16:07:44 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.6525200009346008 --> 0.6538800001144409
03-04 16:07:44 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:07:44 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 16:07:44 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.5907800197601318 --> 0.5923399925231934
03-04 16:07:44 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:07:44 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 16:07:44 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 16:10:46 I ------------------
03-04 16:10:46 I Epoch 30 (E30_U37530_S38430720)
03-04 16:10:46 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 16:10:46 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.70829125
03-04 16:10:46 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.69319073
03-04 16:10:46 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.67928605
03-04 16:10:46 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.66697915
03-04 16:10:46 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.65644997
03-04 16:10:46 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.64844132
03-04 16:10:46 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.64409824
03-04 16:10:46 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.64580183
03-04 16:10:46 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.65956172
03-04 16:10:46 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.07157212
03-04 16:10:46 I loss/online/total: 17.07367240
03-04 16:10:56 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.09 accuracy_logger_test_forward=0.10
03-04 16:10:57 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6467
03-04 16:10:57 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6490
03-04 16:10:57 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6506
03-04 16:10:57 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6525
03-04 16:10:57 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6530
03-04 16:10:57 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6545
03-04 16:10:57 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6560
03-04 16:10:57 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6563
03-04 16:10:57 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6561
03-04 16:10:57 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5927
03-04 16:10:57 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.6429600119590759 --> 0.6467000246047974
03-04 16:10:57 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:10:57 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 16:10:57 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.6439599990844727 --> 0.6490200161933899
03-04 16:10:57 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:10:57 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 16:10:57 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.646619975566864 --> 0.6506400108337402
03-04 16:10:57 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:10:57 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 16:10:57 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.6491600275039673 --> 0.652459979057312
03-04 16:10:57 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:10:57 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 16:10:57 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.6512799859046936 --> 0.6529600024223328
03-04 16:10:57 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:10:57 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 16:10:57 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.6530399918556213 --> 0.65447998046875
03-04 16:10:57 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:10:57 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 16:10:57 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.6552600264549255 --> 0.6559799909591675
03-04 16:10:57 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:10:57 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 16:10:57 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.6548600196838379 --> 0.656279981136322
03-04 16:10:57 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:10:57 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 16:10:57 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.6538800001144409 --> 0.6560800075531006
03-04 16:10:57 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:10:57 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 16:10:57 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.5923399925231934 --> 0.5927199721336365
03-04 16:10:57 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:10:57 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 16:10:57 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 16:14:01 I ------------------
03-04 16:14:01 I Epoch 31 (E31_U38781_S39711744)
03-04 16:14:01 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 16:14:01 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.69310170
03-04 16:14:01 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.67957343
03-04 16:14:01 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.66714319
03-04 16:14:01 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.65618975
03-04 16:14:01 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.64691896
03-04 16:14:01 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.64017445
03-04 16:14:01 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.63694806
03-04 16:14:01 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.63970655
03-04 16:14:01 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.65444398
03-04 16:14:01 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.06568436
03-04 16:14:01 I loss/online/total: 16.97988441
03-04 16:14:11 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 16:14:12 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6451
03-04 16:14:12 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6471
03-04 16:14:12 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6490
03-04 16:14:12 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6503
03-04 16:14:12 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6524
03-04 16:14:12 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6539
03-04 16:14:12 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6557
03-04 16:14:12 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6562
03-04 16:14:12 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6552
03-04 16:14:12 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5937
03-04 16:14:12 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.5927199721336365 --> 0.5937399864196777
03-04 16:14:12 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:14:12 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 16:14:12 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 16:17:15 I ------------------
03-04 16:17:15 I Epoch 32 (E32_U40032_S40992768)
03-04 16:17:15 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 16:17:15 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.68001343
03-04 16:17:15 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.66804313
03-04 16:17:15 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.65717447
03-04 16:17:15 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.64766665
03-04 16:17:15 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.63983265
03-04 16:17:15 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.63437549
03-04 16:17:15 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.63244782
03-04 16:17:15 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.63636525
03-04 16:17:15 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.65221222
03-04 16:17:15 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.06292109
03-04 16:17:15 I loss/online/total: 16.91105222
03-04 16:17:24 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 16:17:25 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6481
03-04 16:17:25 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6500
03-04 16:17:25 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6514
03-04 16:17:25 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6530
03-04 16:17:25 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6543
03-04 16:17:25 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6555
03-04 16:17:25 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6556
03-04 16:17:25 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6556
03-04 16:17:25 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6542
03-04 16:17:25 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5941
03-04 16:17:25 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.6467000246047974 --> 0.6481000185012817
03-04 16:17:25 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:17:25 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 16:17:25 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.6490200161933899 --> 0.6500399708747864
03-04 16:17:26 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:17:26 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 16:17:26 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.6506400108337402 --> 0.6513800024986267
03-04 16:17:26 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:17:26 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 16:17:26 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.652459979057312 --> 0.6530399918556213
03-04 16:17:26 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:17:26 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 16:17:26 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.6529600024223328 --> 0.6543400287628174
03-04 16:17:26 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:17:26 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 16:17:26 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.65447998046875 --> 0.6555200219154358
03-04 16:17:26 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:17:26 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 16:17:26 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.5937399864196777 --> 0.5940999984741211
03-04 16:17:26 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:17:26 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 16:17:26 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 16:20:28 I ------------------
03-04 16:20:28 I Epoch 33 (E33_U41283_S42273792)
03-04 16:20:28 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 16:20:28 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.66506837
03-04 16:20:28 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.65474150
03-04 16:20:28 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.64543388
03-04 16:20:28 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.63741129
03-04 16:20:28 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.63099419
03-04 16:20:28 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.62685885
03-04 16:20:28 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.62616948
03-04 16:20:28 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.63124677
03-04 16:20:28 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.64806688
03-04 16:20:28 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.05855654
03-04 16:20:28 I loss/online/total: 16.82454772
03-04 16:20:38 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.09 accuracy_logger_test_forward=0.10
03-04 16:20:39 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6500
03-04 16:20:39 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6515
03-04 16:20:39 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6532
03-04 16:20:39 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6554
03-04 16:20:39 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6566
03-04 16:20:39 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6585
03-04 16:20:39 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6587
03-04 16:20:39 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6588
03-04 16:20:39 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6571
03-04 16:20:39 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5952
03-04 16:20:39 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.6481000185012817 --> 0.6500399708747864
03-04 16:20:39 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:20:39 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 16:20:39 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.6500399708747864 --> 0.6515399813652039
03-04 16:20:39 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:20:39 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 16:20:39 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.6513800024986267 --> 0.653219997882843
03-04 16:20:39 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:20:39 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 16:20:39 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.6530399918556213 --> 0.6554200053215027
03-04 16:20:39 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:20:39 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 16:20:39 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.6543400287628174 --> 0.6566200256347656
03-04 16:20:39 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:20:39 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 16:20:39 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.6555200219154358 --> 0.6584600210189819
03-04 16:20:39 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:20:39 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 16:20:39 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.6559799909591675 --> 0.6587200164794922
03-04 16:20:39 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:20:39 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 16:20:39 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.656279981136322 --> 0.658840000629425
03-04 16:20:39 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:20:39 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 16:20:39 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.6560800075531006 --> 0.6571199893951416
03-04 16:20:39 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:20:39 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 16:20:39 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.5940999984741211 --> 0.5951799750328064
03-04 16:20:39 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:20:39 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 16:20:39 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 16:23:41 I ------------------
03-04 16:23:41 I Epoch 34 (E34_U42534_S43554816)
03-04 16:23:42 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 16:23:42 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.65106973
03-04 16:23:42 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.64205942
03-04 16:23:42 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.63406744
03-04 16:23:42 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.62722463
03-04 16:23:42 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.62199328
03-04 16:23:42 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.61902568
03-04 16:23:42 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.61936838
03-04 16:23:42 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.62552376
03-04 16:23:42 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.64332712
03-04 16:23:42 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.05416783
03-04 16:23:42 I loss/online/total: 16.73782726
03-04 16:23:51 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 16:23:52 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6503
03-04 16:23:52 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6524
03-04 16:23:52 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6538
03-04 16:23:52 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6547
03-04 16:23:52 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6557
03-04 16:23:52 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6575
03-04 16:23:52 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6574
03-04 16:23:52 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6577
03-04 16:23:52 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6568
03-04 16:23:52 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5960
03-04 16:23:52 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.6500399708747864 --> 0.6503400206565857
03-04 16:23:52 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:23:52 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 16:23:52 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.6515399813652039 --> 0.6523799896240234
03-04 16:23:52 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:23:52 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 16:23:52 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.653219997882843 --> 0.6537600159645081
03-04 16:23:52 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:23:52 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 16:23:52 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.5951799750328064 --> 0.5960400104522705
03-04 16:23:52 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:23:52 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 16:23:52 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 16:26:56 I ------------------
03-04 16:26:56 I Epoch 35 (E35_U43785_S44835840)
03-04 16:26:56 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 16:26:56 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.63878278
03-04 16:26:56 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.63127860
03-04 16:26:56 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.62465318
03-04 16:26:56 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.61918847
03-04 16:26:56 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.61532400
03-04 16:26:56 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.61362725
03-04 16:26:56 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.61528392
03-04 16:26:56 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.62255589
03-04 16:26:56 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.64153803
03-04 16:26:56 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.05322472
03-04 16:26:56 I loss/online/total: 16.67545685
03-04 16:27:05 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 16:27:06 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6540
03-04 16:27:06 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6553
03-04 16:27:06 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6559
03-04 16:27:06 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6570
03-04 16:27:06 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6581
03-04 16:27:06 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6584
03-04 16:27:06 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6594
03-04 16:27:06 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6592
03-04 16:27:06 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6577
03-04 16:27:06 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5965
03-04 16:27:06 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.6503400206565857 --> 0.6540200114250183
03-04 16:27:06 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:27:06 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 16:27:06 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.6523799896240234 --> 0.6553199887275696
03-04 16:27:06 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:27:06 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 16:27:06 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.6537600159645081 --> 0.6559000015258789
03-04 16:27:06 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:27:06 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 16:27:06 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.6554200053215027 --> 0.6570199728012085
03-04 16:27:06 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:27:06 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 16:27:06 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.6566200256347656 --> 0.6581199765205383
03-04 16:27:06 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:27:06 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 16:27:06 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.6587200164794922 --> 0.6593800187110901
03-04 16:27:06 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:27:06 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 16:27:06 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.658840000629425 --> 0.6592400074005127
03-04 16:27:06 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:27:06 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 16:27:06 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.6571199893951416 --> 0.6576799750328064
03-04 16:27:06 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:27:06 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 16:27:06 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.5960400104522705 --> 0.5964999794960022
03-04 16:27:07 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:27:07 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 16:27:07 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 16:30:10 I ------------------
03-04 16:30:10 I Epoch 36 (E36_U45036_S46116864)
03-04 16:30:10 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 16:30:10 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.62597390
03-04 16:30:10 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.61977127
03-04 16:30:10 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.61435890
03-04 16:30:10 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.61015414
03-04 16:30:10 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.60739517
03-04 16:30:10 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.60680123
03-04 16:30:10 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.60947602
03-04 16:30:10 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.61782897
03-04 16:30:10 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.63770009
03-04 16:30:10 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.04994212
03-04 16:30:10 I loss/online/total: 16.59940184
03-04 16:30:20 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 16:30:21 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6554
03-04 16:30:21 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6566
03-04 16:30:21 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6575
03-04 16:30:21 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6578
03-04 16:30:21 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6585
03-04 16:30:21 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6586
03-04 16:30:21 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6586
03-04 16:30:21 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6589
03-04 16:30:21 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6576
03-04 16:30:21 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5969
03-04 16:30:21 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.6540200114250183 --> 0.6553800106048584
03-04 16:30:21 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:30:21 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 16:30:21 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.6553199887275696 --> 0.6566399931907654
03-04 16:30:21 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:30:21 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 16:30:21 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.6559000015258789 --> 0.6574599742889404
03-04 16:30:21 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:30:21 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 16:30:21 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.6570199728012085 --> 0.657800018787384
03-04 16:30:21 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:30:21 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 16:30:21 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.6581199765205383 --> 0.6585400104522705
03-04 16:30:21 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:30:21 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 16:30:21 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.6584600210189819 --> 0.6586199998855591
03-04 16:30:21 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:30:21 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 16:30:21 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.5964999794960022 --> 0.5969200134277344
03-04 16:30:21 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:30:21 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 16:30:21 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 16:33:23 I ------------------
03-04 16:33:23 I Epoch 37 (E37_U46287_S47397888)
03-04 16:33:23 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 16:33:23 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.61186697
03-04 16:33:23 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.60680366
03-04 16:33:23 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.60260090
03-04 16:33:23 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.59947949
03-04 16:33:23 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.59783505
03-04 16:33:23 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.59829554
03-04 16:33:23 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.60205926
03-04 16:33:23 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.61134509
03-04 16:33:23 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.63218372
03-04 16:33:23 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.04499625
03-04 16:33:23 I loss/online/total: 16.50746594
03-04 16:33:33 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 16:33:34 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6555
03-04 16:33:34 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6569
03-04 16:33:34 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6575
03-04 16:33:34 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6587
03-04 16:33:34 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6589
03-04 16:33:34 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6600
03-04 16:33:34 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6598
03-04 16:33:34 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6591
03-04 16:33:34 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6579
03-04 16:33:34 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5974
03-04 16:33:34 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.6553800106048584 --> 0.6554999947547913
03-04 16:33:34 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:33:34 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 16:33:34 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.6566399931907654 --> 0.6569200158119202
03-04 16:33:34 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:33:34 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 16:33:34 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.6574599742889404 --> 0.6575199961662292
03-04 16:33:34 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:33:34 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 16:33:34 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.657800018787384 --> 0.6586599946022034
03-04 16:33:34 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:33:34 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 16:33:34 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.6585400104522705 --> 0.6589400172233582
03-04 16:33:34 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:33:34 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 16:33:34 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.6586199998855591 --> 0.6600199937820435
03-04 16:33:34 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:33:34 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 16:33:34 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.6593800187110901 --> 0.6598399877548218
03-04 16:33:34 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:33:34 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 16:33:34 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.6576799750328064 --> 0.6579399704933167
03-04 16:33:34 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:33:34 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 16:33:34 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.5969200134277344 --> 0.5974000096321106
03-04 16:33:34 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:33:34 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 16:33:34 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 16:36:38 I ------------------
03-04 16:36:38 I Epoch 38 (E38_U47538_S48678912)
03-04 16:36:38 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 16:36:38 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.60356998
03-04 16:36:38 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.59964569
03-04 16:36:38 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.59647791
03-04 16:36:38 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.59439771
03-04 16:36:38 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.59377632
03-04 16:36:38 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.59527707
03-04 16:36:38 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.59995968
03-04 16:36:38 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.61025595
03-04 16:36:38 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.63204110
03-04 16:36:38 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.04507190
03-04 16:36:38 I loss/online/total: 16.47047330
03-04 16:36:47 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 16:36:48 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6583
03-04 16:36:48 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6593
03-04 16:36:48 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6597
03-04 16:36:48 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6607
03-04 16:36:48 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6608
03-04 16:36:48 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6612
03-04 16:36:48 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6611
03-04 16:36:48 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6604
03-04 16:36:48 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6584
03-04 16:36:48 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5972
03-04 16:36:48 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.6554999947547913 --> 0.6582800149917603
03-04 16:36:48 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:36:48 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 16:36:48 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.6569200158119202 --> 0.6592599749565125
03-04 16:36:48 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:36:48 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 16:36:48 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.6575199961662292 --> 0.6597200036048889
03-04 16:36:48 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:36:48 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 16:36:48 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.6586599946022034 --> 0.6606799960136414
03-04 16:36:48 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:36:48 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 16:36:48 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.6589400172233582 --> 0.6607999801635742
03-04 16:36:48 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:36:48 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 16:36:48 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.6600199937820435 --> 0.6611599922180176
03-04 16:36:48 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:36:48 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 16:36:48 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.6598399877548218 --> 0.6611400246620178
03-04 16:36:48 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:36:48 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 16:36:48 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.6592400074005127 --> 0.6603599786758423
03-04 16:36:48 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:36:48 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 16:36:48 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.6579399704933167 --> 0.6583600044250488
03-04 16:36:49 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:36:49 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 16:36:49 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 16:39:52 I ------------------
03-04 16:39:52 I Epoch 39 (E39_U48789_S49959936)
03-04 16:39:52 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 16:39:52 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.59240991
03-04 16:39:52 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.58951696
03-04 16:39:52 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.58746648
03-04 16:39:52 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.58643453
03-04 16:39:52 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.58682363
03-04 16:39:52 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.58925803
03-04 16:39:52 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.59488631
03-04 16:39:52 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.60606636
03-04 16:39:52 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.62869631
03-04 16:39:52 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.04255842
03-04 16:39:52 I loss/online/total: 16.40411695
03-04 16:40:01 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 16:40:02 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6586
03-04 16:40:02 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6590
03-04 16:40:02 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6597
03-04 16:40:02 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6596
03-04 16:40:02 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6604
03-04 16:40:02 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6613
03-04 16:40:02 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6611
03-04 16:40:02 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6608
03-04 16:40:02 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6587
03-04 16:40:02 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5980
03-04 16:40:02 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.6582800149917603 --> 0.6586199998855591
03-04 16:40:02 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:40:02 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 16:40:02 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.6597200036048889 --> 0.6597399711608887
03-04 16:40:02 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:40:02 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 16:40:02 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.6611599922180176 --> 0.6613199710845947
03-04 16:40:02 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:40:02 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 16:40:02 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.6603599786758423 --> 0.6607599854469299
03-04 16:40:02 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:40:02 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 16:40:02 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.6583600044250488 --> 0.6586800217628479
03-04 16:40:03 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:40:03 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 16:40:03 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.5974000096321106 --> 0.5979599952697754
03-04 16:40:03 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:40:03 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 16:40:03 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 16:43:06 I ------------------
03-04 16:43:06 I Epoch 40 (E40_U50040_S51240960)
03-04 16:43:06 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 16:43:06 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.58586061
03-04 16:43:06 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.58385356
03-04 16:43:06 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.58261247
03-04 16:43:06 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.58243134
03-04 16:43:06 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.58367028
03-04 16:43:06 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.58689742
03-04 16:43:06 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.59329808
03-04 16:43:06 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.60527662
03-04 16:43:06 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.62860068
03-04 16:43:06 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.04310354
03-04 16:43:06 I loss/online/total: 16.37560462
03-04 16:43:16 I accuracy_logger_test_iter=0.01 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 16:43:17 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6617
03-04 16:43:17 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6624
03-04 16:43:17 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6630
03-04 16:43:17 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6634
03-04 16:43:17 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6634
03-04 16:43:17 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6628
03-04 16:43:17 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6618
03-04 16:43:17 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6610
03-04 16:43:17 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6588
03-04 16:43:17 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5978
03-04 16:43:17 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.6586199998855591 --> 0.6617000102996826
03-04 16:43:17 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:43:17 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 16:43:17 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.6592599749565125 --> 0.6624000072479248
03-04 16:43:17 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:43:17 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 16:43:17 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.6597399711608887 --> 0.6629999876022339
03-04 16:43:17 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:43:17 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 16:43:17 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.6606799960136414 --> 0.6634399890899658
03-04 16:43:17 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:43:17 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 16:43:17 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.6607999801635742 --> 0.6634399890899658
03-04 16:43:17 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:43:17 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 16:43:17 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.6613199710845947 --> 0.6628400087356567
03-04 16:43:17 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:43:17 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 16:43:17 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.6611400246620178 --> 0.6618000268936157
03-04 16:43:17 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:43:17 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 16:43:17 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.6607599854469299 --> 0.6609799861907959
03-04 16:43:17 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:43:17 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 16:43:17 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.6586800217628479 --> 0.6588000059127808
03-04 16:43:17 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:43:17 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 16:43:17 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 16:46:20 I ------------------
03-04 16:46:20 I Epoch 41 (E41_U51291_S52521984)
03-04 16:46:20 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 16:46:20 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.57502093
03-04 16:46:20 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.57388190
03-04 16:46:20 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.57355835
03-04 16:46:20 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.57424020
03-04 16:46:20 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.57624326
03-04 16:46:20 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.58037455
03-04 16:46:20 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.58766956
03-04 16:46:20 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.60050501
03-04 16:46:20 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.62474200
03-04 16:46:20 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.04099556
03-04 16:46:20 I loss/online/total: 16.30723129
03-04 16:46:30 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 16:46:31 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6634
03-04 16:46:31 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6638
03-04 16:46:31 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6641
03-04 16:46:31 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6639
03-04 16:46:31 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6640
03-04 16:46:31 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6641
03-04 16:46:31 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6630
03-04 16:46:31 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6614
03-04 16:46:31 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6594
03-04 16:46:31 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5980
03-04 16:46:31 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.6617000102996826 --> 0.6633599996566772
03-04 16:46:31 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:46:31 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 16:46:31 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.6624000072479248 --> 0.6638200283050537
03-04 16:46:31 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:46:31 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 16:46:31 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.6629999876022339 --> 0.6641200184822083
03-04 16:46:31 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:46:31 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 16:46:31 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.6634399890899658 --> 0.6639400124549866
03-04 16:46:31 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:46:31 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 16:46:31 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.6634399890899658 --> 0.6640400290489197
03-04 16:46:31 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:46:31 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 16:46:31 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.6628400087356567 --> 0.664139986038208
03-04 16:46:31 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:46:31 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 16:46:31 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.6618000268936157 --> 0.6629599928855896
03-04 16:46:31 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:46:31 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 16:46:31 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.6609799861907959 --> 0.6614000201225281
03-04 16:46:31 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:46:31 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 16:46:31 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.6588000059127808 --> 0.6593800187110901
03-04 16:46:31 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:46:31 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 16:46:31 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.5979599952697754 --> 0.598039984703064
03-04 16:46:31 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:46:31 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 16:46:31 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 16:49:34 I ------------------
03-04 16:49:34 I Epoch 42 (E42_U52542_S53803008)
03-04 16:49:34 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 16:49:34 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.56560797
03-04 16:49:34 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.56527745
03-04 16:49:34 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.56576393
03-04 16:49:34 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.56721140
03-04 16:49:34 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.57010592
03-04 16:49:34 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.57496125
03-04 16:49:34 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.58303315
03-04 16:49:34 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.59659302
03-04 16:49:34 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.62155963
03-04 16:49:34 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.03896175
03-04 16:49:34 I loss/online/total: 16.24907548
03-04 16:49:44 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 16:49:45 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6637
03-04 16:49:45 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6642
03-04 16:49:45 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6640
03-04 16:49:45 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6650
03-04 16:49:45 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6653
03-04 16:49:45 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6655
03-04 16:49:45 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6640
03-04 16:49:45 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6626
03-04 16:49:45 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6603
03-04 16:49:45 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5985
03-04 16:49:45 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.6633599996566772 --> 0.6636999845504761
03-04 16:49:45 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:49:45 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 16:49:45 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.6638200283050537 --> 0.6642400026321411
03-04 16:49:45 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:49:45 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 16:49:45 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.6639400124549866 --> 0.6649600267410278
03-04 16:49:45 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:49:45 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 16:49:45 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.6640400290489197 --> 0.6653000116348267
03-04 16:49:45 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:49:45 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 16:49:45 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.664139986038208 --> 0.6654999852180481
03-04 16:49:45 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:49:45 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 16:49:45 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.6629599928855896 --> 0.6639599800109863
03-04 16:49:45 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:49:45 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 16:49:45 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.6614000201225281 --> 0.6626200079917908
03-04 16:49:45 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:49:45 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 16:49:45 I new best model (accuracy1/test/cls_sgd_lr002_wupcos_wd0_default): 0.6593800187110901 --> 0.660319983959198
03-04 16:49:45 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:49:45 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr002_wupcos_wd0_default.th
03-04 16:49:45 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.598039984703064 --> 0.5985400080680847
03-04 16:49:45 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:49:45 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 16:49:45 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 16:52:48 I ------------------
03-04 16:52:48 I Epoch 43 (E43_U53793_S55084032)
03-04 16:52:48 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 16:52:48 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.55939418
03-04 16:52:48 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.55971969
03-04 16:52:48 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.56077305
03-04 16:52:48 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.56276996
03-04 16:52:48 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.56618782
03-04 16:52:48 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.57161580
03-04 16:52:48 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.58018148
03-04 16:52:48 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.59422906
03-04 16:52:48 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.61958824
03-04 16:52:48 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.03676969
03-04 16:52:48 I loss/online/total: 16.21122897
03-04 16:52:58 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 16:52:59 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6635
03-04 16:52:59 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6636
03-04 16:52:59 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6643
03-04 16:52:59 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6640
03-04 16:52:59 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6639
03-04 16:52:59 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6634
03-04 16:52:59 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6625
03-04 16:52:59 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6617
03-04 16:52:59 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6598
03-04 16:52:59 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5986
03-04 16:52:59 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.6641200184822083 --> 0.6642600297927856
03-04 16:52:59 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:52:59 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 16:52:59 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.5985400080680847 --> 0.5985999703407288
03-04 16:52:59 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:52:59 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 16:52:59 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 16:56:03 I ------------------
03-04 16:56:03 I Epoch 44 (E44_U55044_S56365056)
03-04 16:56:03 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 16:56:03 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.55414886
03-04 16:56:03 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.55508599
03-04 16:56:03 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.55674086
03-04 16:56:03 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.55945209
03-04 16:56:03 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.56349448
03-04 16:56:03 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.56956128
03-04 16:56:03 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.57874361
03-04 16:56:03 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.59345094
03-04 16:56:03 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.61948355
03-04 16:56:03 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.03757561
03-04 16:56:03 I loss/online/total: 16.18773727
03-04 16:56:12 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 16:56:13 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6660
03-04 16:56:13 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6660
03-04 16:56:13 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6660
03-04 16:56:13 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6661
03-04 16:56:13 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6659
03-04 16:56:13 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6648
03-04 16:56:13 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6638
03-04 16:56:13 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6626
03-04 16:56:13 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6597
03-04 16:56:13 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5988
03-04 16:56:13 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.6636999845504761 --> 0.6660199761390686
03-04 16:56:13 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:56:13 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 16:56:13 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.6642400026321411 --> 0.6660400032997131
03-04 16:56:13 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:56:13 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 16:56:13 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.6642600297927856 --> 0.6660000085830688
03-04 16:56:13 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:56:13 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 16:56:13 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.6649600267410278 --> 0.666100025177002
03-04 16:56:13 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:56:13 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 16:56:13 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.6653000116348267 --> 0.6658599972724915
03-04 16:56:13 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:56:13 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 16:56:13 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.5985999703407288 --> 0.5987799763679504
03-04 16:56:13 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 16:56:13 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 16:56:13 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 16:59:15 I ------------------
03-04 16:59:15 I Epoch 45 (E45_U56295_S57646080)
03-04 16:59:15 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 16:59:15 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.54966534
03-04 16:59:15 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.55113696
03-04 16:59:15 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.55334108
03-04 16:59:15 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.55652038
03-04 16:59:15 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.56110686
03-04 16:59:15 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.56771403
03-04 16:59:15 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.57746107
03-04 16:59:15 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.59266402
03-04 16:59:15 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.61925853
03-04 16:59:15 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.03878223
03-04 16:59:15 I loss/online/total: 16.16765047
03-04 16:59:25 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 16:59:26 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6650
03-04 16:59:26 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6647
03-04 16:59:26 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6649
03-04 16:59:26 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6651
03-04 16:59:26 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6646
03-04 16:59:26 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6639
03-04 16:59:26 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6637
03-04 16:59:26 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6626
03-04 16:59:26 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6596
03-04 16:59:26 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5984
03-04 16:59:26 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 17:02:29 I ------------------
03-04 17:02:29 I Epoch 46 (E46_U57546_S58927104)
03-04 17:02:29 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 17:02:29 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.54203064
03-04 17:02:29 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.54391464
03-04 17:02:29 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.54658244
03-04 17:02:29 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.55021210
03-04 17:02:29 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.55518724
03-04 17:02:29 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.56223256
03-04 17:02:29 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.57241069
03-04 17:02:29 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.58814303
03-04 17:02:29 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.61524858
03-04 17:02:29 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.03594977
03-04 17:02:29 I loss/online/total: 16.11191170
03-04 17:02:39 I accuracy_logger_test_iter=0.01 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 17:02:40 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6668
03-04 17:02:40 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6667
03-04 17:02:40 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6665
03-04 17:02:40 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6661
03-04 17:02:40 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6661
03-04 17:02:40 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6653
03-04 17:02:40 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6638
03-04 17:02:40 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6624
03-04 17:02:40 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6595
03-04 17:02:40 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5984
03-04 17:02:40 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.6660199761390686 --> 0.6668400168418884
03-04 17:02:40 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 17:02:40 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 17:02:40 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.6660400032997131 --> 0.6667400002479553
03-04 17:02:40 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 17:02:40 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 17:02:40 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.6660000085830688 --> 0.6665400266647339
03-04 17:02:40 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 17:02:40 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 17:02:40 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.6658599972724915 --> 0.6661199927330017
03-04 17:02:40 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 17:02:40 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 17:02:40 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 17:05:42 I ------------------
03-04 17:05:42 I Epoch 47 (E47_U58797_S60208128)
03-04 17:05:42 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 17:05:42 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.53936869
03-04 17:05:42 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.54158784
03-04 17:05:42 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.54458930
03-04 17:05:42 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.54854748
03-04 17:05:42 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.55389224
03-04 17:05:42 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.56128996
03-04 17:05:42 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.57183557
03-04 17:05:42 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.58789121
03-04 17:05:42 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.61537229
03-04 17:05:42 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.03623378
03-04 17:05:42 I loss/online/total: 16.10060834
03-04 17:05:51 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 17:05:52 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6666
03-04 17:05:52 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6667
03-04 17:05:52 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6665
03-04 17:05:52 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6668
03-04 17:05:52 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6662
03-04 17:05:52 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6654
03-04 17:05:52 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6642
03-04 17:05:52 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6626
03-04 17:05:52 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6592
03-04 17:05:52 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5987
03-04 17:05:52 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.666100025177002 --> 0.6667799949645996
03-04 17:05:52 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 17:05:52 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 17:05:52 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.6661199927330017 --> 0.666159987449646
03-04 17:05:52 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 17:05:53 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 17:05:53 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.6639599800109863 --> 0.6642199754714966
03-04 17:05:53 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 17:05:53 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 17:05:53 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 17:08:54 I ------------------
03-04 17:08:54 I Epoch 48 (E48_U60048_S61489152)
03-04 17:08:54 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 17:08:54 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.53893398
03-04 17:08:54 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.54142932
03-04 17:08:54 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.54470127
03-04 17:08:54 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.54893168
03-04 17:08:54 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.55455756
03-04 17:08:54 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.56220796
03-04 17:08:54 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.57300746
03-04 17:08:54 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.58927045
03-04 17:08:54 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.61688970
03-04 17:08:54 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.03745882
03-04 17:08:54 I loss/online/total: 16.10738818
03-04 17:09:04 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 17:09:05 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6673
03-04 17:09:05 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6672
03-04 17:09:05 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6669
03-04 17:09:05 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6667
03-04 17:09:05 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6664
03-04 17:09:05 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6654
03-04 17:09:05 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6647
03-04 17:09:05 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6625
03-04 17:09:05 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6595
03-04 17:09:05 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5988
03-04 17:09:05 I new best model (accuracy1/test/cls_sgd_lr01_wupcos_wd0_default): 0.6668400168418884 --> 0.6672800183296204
03-04 17:09:05 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 17:09:05 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr01_wupcos_wd0_default.th
03-04 17:09:05 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.6667400002479553 --> 0.6672000288963318
03-04 17:09:05 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 17:09:05 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 17:09:05 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.6665400266647339 --> 0.6668800115585327
03-04 17:09:05 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 17:09:05 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 17:09:05 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.666159987449646 --> 0.6664000153541565
03-04 17:09:05 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 17:09:05 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 17:09:05 I new best model (accuracy1/test/cls_sgd_lr004_wupcos_wd0_default): 0.6642199754714966 --> 0.6647199988365173
03-04 17:09:05 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 17:09:05 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr004_wupcos_wd0_default.th
03-04 17:09:05 I new best model (accuracy1/test/cls_sgd_lr001_wupcos_wd0_default): 0.5987799763679504 --> 0.5988399982452393
03-04 17:09:05 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 17:09:05 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr001_wupcos_wd0_default.th
03-04 17:09:05 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 17:12:07 I ------------------
03-04 17:12:07 I Epoch 49 (E49_U61299_S62770176)
03-04 17:12:07 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 17:12:07 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.53650110
03-04 17:12:07 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.53916697
03-04 17:12:07 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.54262398
03-04 17:12:07 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.54702330
03-04 17:12:07 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.55284637
03-04 17:12:07 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.56068995
03-04 17:12:07 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.57169895
03-04 17:12:07 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.58823038
03-04 17:12:07 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.61617925
03-04 17:12:07 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.03852526
03-04 17:12:07 I loss/online/total: 16.09348553
03-04 17:12:17 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 17:12:18 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6671
03-04 17:12:18 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6670
03-04 17:12:18 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6668
03-04 17:12:18 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6669
03-04 17:12:18 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6663
03-04 17:12:18 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6656
03-04 17:12:18 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6645
03-04 17:12:18 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6631
03-04 17:12:18 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6598
03-04 17:12:18 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5987
03-04 17:12:18 I new best model (accuracy1/test/cls_sgd_lr007_wupcos_wd0_default): 0.6667799949645996 --> 0.6668599843978882
03-04 17:12:18 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 17:12:18 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr007_wupcos_wd0_default.th
03-04 17:12:18 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.6654999852180481 --> 0.6656399965286255
03-04 17:12:18 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 17:12:18 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 17:12:18 I new best model (accuracy1/test/cls_sgd_lr003_wupcos_wd0_default): 0.6626200079917908 --> 0.6631399989128113
03-04 17:12:18 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 17:12:18 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr003_wupcos_wd0_default.th
03-04 17:12:18 I started dataloader iterator of AccuracyLogger(dataset_key=test)
03-04 17:15:21 I ------------------
03-04 17:15:21 I Epoch 50 (E50_U62550_S64051200)
03-04 17:15:21 I train_data=[0.00, 0.00, 0.00, 0.00] train=[0.14, 0.14, 0.14, 0.14]
03-04 17:15:21 I loss/online/cls_sgd_lr01_wupcos_wd0_default: 1.53465808
03-04 17:15:21 I loss/online/cls_sgd_lr009_wupcos_wd0_default: 1.53745065
03-04 17:15:21 I loss/online/cls_sgd_lr008_wupcos_wd0_default: 1.54096560
03-04 17:15:21 I loss/online/cls_sgd_lr007_wupcos_wd0_default: 1.54554852
03-04 17:15:21 I loss/online/cls_sgd_lr006_wupcos_wd0_default: 1.55146470
03-04 17:15:21 I loss/online/cls_sgd_lr005_wupcos_wd0_default: 1.55944731
03-04 17:15:21 I loss/online/cls_sgd_lr004_wupcos_wd0_default: 1.57056589
03-04 17:15:21 I loss/online/cls_sgd_lr003_wupcos_wd0_default: 1.58725011
03-04 17:15:21 I loss/online/cls_sgd_lr002_wupcos_wd0_default: 1.61536163
03-04 17:15:21 I loss/online/cls_sgd_lr001_wupcos_wd0_default: 2.03731037
03-04 17:15:21 I loss/online/total: 16.08002282
03-04 17:15:31 I accuracy_logger_test_iter=0.00 accuracy_logger_test_data=0.10 accuracy_logger_test_forward=0.10
03-04 17:15:32 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default: 0.6672
03-04 17:15:32 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default: 0.6673
03-04 17:15:32 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default: 0.6672
03-04 17:15:32 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default: 0.6665
03-04 17:15:32 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default: 0.6667
03-04 17:15:32 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default: 0.6657
03-04 17:15:32 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default: 0.6646
03-04 17:15:32 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default: 0.6627
03-04 17:15:32 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default: 0.6596
03-04 17:15:32 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default: 0.5984
03-04 17:15:32 I new best model (accuracy1/test/cls_sgd_lr009_wupcos_wd0_default): 0.6672000288963318 --> 0.6672999858856201
03-04 17:15:32 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 17:15:32 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr009_wupcos_wd0_default.th
03-04 17:15:32 I new best model (accuracy1/test/cls_sgd_lr008_wupcos_wd0_default): 0.6668800115585327 --> 0.6671800017356873
03-04 17:15:32 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 17:15:32 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr008_wupcos_wd0_default.th
03-04 17:15:32 I new best model (accuracy1/test/cls_sgd_lr006_wupcos_wd0_default): 0.6664000153541565 --> 0.666700005531311
03-04 17:15:32 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 17:15:32 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr006_wupcos_wd0_default.th
03-04 17:15:32 I new best model (accuracy1/test/cls_sgd_lr005_wupcos_wd0_default): 0.6656399965286255 --> 0.6657199859619141
03-04 17:15:32 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/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 17:15:32 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=best_model.accuracy1.test.cls_sgd_lr005_wupcos_wd0_default.th
03-04 17:15:32 I ------------------
03-04 17:15:32 I AFTER TRAINING
03-04 17:15:32 I ------------------
03-04 17:15:32 I accuracy_logger dataset_key=test
03-04 17:15:32 I total_iter:   [0.77, 0.64, 0.53, 0.55]
03-04 17:15:32 I total_data_time:    [4.85, 5.05, 5.28, 4.93]
03-04 17:15:32 I total_forward_time: [5.12, 5.21, 5.25, 5.17]
03-04 17:15:32 I saved backbone_head.backbone to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/backbone_head.backbone cp=last model.th
03-04 17:15:32 I saved backbone_head.head.cls_sgd_lr01_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/backbone_head.head.cls_sgd_lr01_wupcos_wd0_default cp=last model.th
03-04 17:15:32 I saved backbone_head.head.cls_sgd_lr009_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/backbone_head.head.cls_sgd_lr009_wupcos_wd0_default cp=last model.th
03-04 17:15:32 I saved backbone_head.head.cls_sgd_lr008_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/backbone_head.head.cls_sgd_lr008_wupcos_wd0_default cp=last model.th
03-04 17:15:32 I saved backbone_head.head.cls_sgd_lr007_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/backbone_head.head.cls_sgd_lr007_wupcos_wd0_default cp=last model.th
03-04 17:15:32 I saved backbone_head.head.cls_sgd_lr006_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/backbone_head.head.cls_sgd_lr006_wupcos_wd0_default cp=last model.th
03-04 17:15:32 I saved backbone_head.head.cls_sgd_lr005_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/backbone_head.head.cls_sgd_lr005_wupcos_wd0_default cp=last model.th
03-04 17:15:32 I saved backbone_head.head.cls_sgd_lr004_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/backbone_head.head.cls_sgd_lr004_wupcos_wd0_default cp=last model.th
03-04 17:15:32 I saved backbone_head.head.cls_sgd_lr003_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/backbone_head.head.cls_sgd_lr003_wupcos_wd0_default cp=last model.th
03-04 17:15:32 I saved backbone_head.head.cls_sgd_lr002_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/backbone_head.head.cls_sgd_lr002_wupcos_wd0_default cp=last model.th
03-04 17:15:32 I saved backbone_head.head.cls_sgd_lr001_wupcos_wd0_default to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/backbone_head.head.cls_sgd_lr001_wupcos_wd0_default cp=last model.th
03-04 17:15:32 I saved trainer state_dict to /project/home/PROJECT/save/mlp/probe/1i2vx24r/checkpoints/trainer cp=last.th
03-04 17:15:33 I writing 1301 log entries to /project/home/PROJECT/save/mlp/probe/1i2vx24r/primitive/entries.yaml
03-04 17:15:35 I ------------------
03-04 17:15:35 I summarize logvalues
03-04 17:15:39 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default/max: 0.5988399982452393
03-04 17:15:39 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default/last10: 0.5985419988632202
03-04 17:15:39 I accuracy1/test/cls_sgd_lr001_wupcos_wd0_default/last50: 0.5542923983931541
03-04 17:15:39 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default/max: 0.660319983959198
03-04 17:15:39 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default/last10: 0.6596320033073425
03-04 17:15:39 I accuracy1/test/cls_sgd_lr002_wupcos_wd0_default/last50: 0.6388935965299606
03-04 17:15:39 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default/max: 0.6631399989128113
03-04 17:15:39 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default/last10: 0.6624179959297181
03-04 17:15:39 I accuracy1/test/cls_sgd_lr003_wupcos_wd0_default/last50: 0.64103639960289
03-04 17:15:39 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default/max: 0.6647199988365173
03-04 17:15:39 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default/last10: 0.6638719916343689
03-04 17:15:39 I accuracy1/test/cls_sgd_lr004_wupcos_wd0_default/last50: 0.6410975986719132
03-04 17:15:39 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default/max: 0.6657199859619141
03-04 17:15:39 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default/last10: 0.6649219989776611
03-04 17:15:39 I accuracy1/test/cls_sgd_lr005_wupcos_wd0_default/last50: 0.6401752007007598
03-04 17:15:39 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default/max: 0.666700005531311
03-04 17:15:39 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default/last10: 0.6655480027198791
03-04 17:15:39 I accuracy1/test/cls_sgd_lr006_wupcos_wd0_default/last50: 0.6386840009689331
03-04 17:15:39 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default/max: 0.6668599843978882
03-04 17:15:39 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default/last10: 0.6657040059566498
03-04 17:15:39 I accuracy1/test/cls_sgd_lr007_wupcos_wd0_default/last50: 0.6369139993190766
03-04 17:15:39 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default/max: 0.6671800017356873
03-04 17:15:39 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default/last10: 0.6657280087471008
03-04 17:15:39 I accuracy1/test/cls_sgd_lr008_wupcos_wd0_default/last50: 0.6349228012561798
03-04 17:15:39 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default/max: 0.6672999858856201
03-04 17:15:39 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default/last10: 0.6657320022583008
03-04 17:15:39 I accuracy1/test/cls_sgd_lr009_wupcos_wd0_default/last50: 0.632907201051712
03-04 17:15:39 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default/max: 0.6672800183296204
03-04 17:15:39 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default/last10: 0.6656540036201477
03-04 17:15:39 I accuracy1/test/cls_sgd_lr01_wupcos_wd0_default/last50: 0.6308416020870209
03-04 17:15:39 I loss/online/cls_sgd_lr001_wupcos_wd0_default/E1/min: 2.035949769137289
03-04 17:15:39 I loss/online/cls_sgd_lr001_wupcos_wd0_default/E1/last10: 2.0378562843127788
03-04 17:15:39 I loss/online/cls_sgd_lr001_wupcos_wd0_default/E1/last50: 2.415697601092138
03-04 17:15:39 I loss/online/cls_sgd_lr001_wupcos_wd0_default/U50/min: 2.01165916800499
03-04 17:15:39 I loss/online/cls_sgd_lr001_wupcos_wd0_default/U50/last10: 2.0355481507778164
03-04 17:15:39 I loss/online/cls_sgd_lr001_wupcos_wd0_default/U50/last50: 2.0379611150860786
03-04 17:15:39 I loss/online/cls_sgd_lr002_wupcos_wd0_default/E1/min: 1.6152485799398735
03-04 17:15:39 I loss/online/cls_sgd_lr002_wupcos_wd0_default/E1/last10: 1.6183683402818456
03-04 17:15:39 I loss/online/cls_sgd_lr002_wupcos_wd0_default/E1/last50: 1.8048616469082688
03-04 17:15:39 I loss/online/cls_sgd_lr002_wupcos_wd0_default/U50/min: 1.5882984244823455
03-04 17:15:39 I loss/online/cls_sgd_lr002_wupcos_wd0_default/U50/last10: 1.612606330215931
03-04 17:15:39 I loss/online/cls_sgd_lr002_wupcos_wd0_default/U50/last50: 1.6158044292926792
03-04 17:15:39 I loss/online/cls_sgd_lr003_wupcos_wd0_default/E1/min: 1.587250107984177
03-04 17:15:39 I loss/online/cls_sgd_lr003_wupcos_wd0_default/E1/last10: 1.5918227230116047
03-04 17:15:39 I loss/online/cls_sgd_lr003_wupcos_wd0_default/E1/last50: 1.7773184984793764
03-04 17:15:39 I loss/online/cls_sgd_lr003_wupcos_wd0_default/U50/min: 1.5623270398378373
03-04 17:15:39 I loss/online/cls_sgd_lr003_wupcos_wd0_default/U50/last10: 1.5844012950062751
03-04 17:15:39 I loss/online/cls_sgd_lr003_wupcos_wd0_default/U50/last50: 1.587774052989483
03-04 17:15:39 I loss/online/cls_sgd_lr004_wupcos_wd0_default/E1/min: 1.5705658868014765
03-04 17:15:39 I loss/online/cls_sgd_lr004_wupcos_wd0_default/E1/last10: 1.576660742164611
03-04 17:15:39 I loss/online/cls_sgd_lr004_wupcos_wd0_default/E1/last50: 1.7682602996396408
03-04 17:15:39 I loss/online/cls_sgd_lr004_wupcos_wd0_default/U50/min: 1.5479142129421233
03-04 17:15:39 I loss/online/cls_sgd_lr004_wupcos_wd0_default/U50/last10: 1.5676968365311623
03-04 17:15:39 I loss/online/cls_sgd_lr004_wupcos_wd0_default/U50/last50: 1.5711649409055708
03-04 17:15:39 I loss/online/cls_sgd_lr005_wupcos_wd0_default/E1/min: 1.5594473059752958
03-04 17:15:39 I loss/online/cls_sgd_lr005_wupcos_wd0_default/E1/last10: 1.5670094639515515
03-04 17:15:39 I loss/online/cls_sgd_lr005_wupcos_wd0_default/E1/last50: 1.7686480423133912
03-04 17:15:39 I loss/online/cls_sgd_lr005_wupcos_wd0_default/U50/min: 1.5391245812177656
03-04 17:15:39 I loss/online/cls_sgd_lr005_wupcos_wd0_default/U50/last10: 1.5565369246602057
03-04 17:15:39 I loss/online/cls_sgd_lr005_wupcos_wd0_default/U50/last50: 1.5601017915606499
03-04 17:15:39 I loss/online/cls_sgd_lr006_wupcos_wd0_default/E1/min: 1.551464697630476
03-04 17:15:39 I loss/online/cls_sgd_lr006_wupcos_wd0_default/E1/last10: 1.5605086442163523
03-04 17:15:39 I loss/online/cls_sgd_lr006_wupcos_wd0_default/E1/last50: 1.7748316333953331
03-04 17:15:39 I loss/online/cls_sgd_lr006_wupcos_wd0_default/U50/min: 1.5321054208278657
03-04 17:15:39 I loss/online/cls_sgd_lr006_wupcos_wd0_default/U50/last10: 1.5485171852111819
03-04 17:15:39 I loss/online/cls_sgd_lr006_wupcos_wd0_default/U50/last50: 1.5521885099887849
03-04 17:15:39 I loss/online/cls_sgd_lr007_wupcos_wd0_default/E1/min: 1.5455485150920782
03-04 17:15:39 I loss/online/cls_sgd_lr007_wupcos_wd0_default/E1/last10: 1.5560457090298525
03-04 17:15:39 I loss/online/cls_sgd_lr007_wupcos_wd0_default/E1/last50: 1.7852028151848716
03-04 17:15:39 I loss/online/cls_sgd_lr007_wupcos_wd0_default/U50/min: 1.5263603168725968
03-04 17:15:39 I loss/online/cls_sgd_lr007_wupcos_wd0_default/U50/last10: 1.5425840466022491
03-04 17:15:39 I loss/online/cls_sgd_lr007_wupcos_wd0_default/U50/last50: 1.5463192629933358
03-04 17:15:39 I loss/online/cls_sgd_lr008_wupcos_wd0_default/E1/min: 1.5409655961201345
03-04 17:15:39 I loss/online/cls_sgd_lr008_wupcos_wd0_default/E1/last10: 1.552963984967898
03-04 17:15:39 I loss/online/cls_sgd_lr008_wupcos_wd0_default/E1/last50: 1.7986683366324405
03-04 17:15:39 I loss/online/cls_sgd_lr008_wupcos_wd0_default/U50/min: 1.5221381109952925
03-04 17:15:39 I loss/online/cls_sgd_lr008_wupcos_wd0_default/U50/last10: 1.5380066440701483
03-04 17:15:39 I loss/online/cls_sgd_lr008_wupcos_wd0_default/U50/last50: 1.541828035724163
03-04 17:15:39 I loss/online/cls_sgd_lr009_wupcos_wd0_default/E1/min: 1.537450654305619
03-04 17:15:39 I loss/online/cls_sgd_lr009_wupcos_wd0_default/E1/last10: 1.5508651415888164
03-04 17:15:39 I loss/online/cls_sgd_lr009_wupcos_wd0_default/E1/last50: 1.8146557090560689
03-04 17:15:39 I loss/online/cls_sgd_lr009_wupcos_wd0_default/U50/min: 1.5189788073301316
03-04 17:15:39 I loss/online/cls_sgd_lr009_wupcos_wd0_default/U50/last10: 1.5344560164809227
03-04 17:15:39 I loss/online/cls_sgd_lr009_wupcos_wd0_default/U50/last50: 1.5383423078775411
03-04 17:15:39 I loss/online/cls_sgd_lr01_wupcos_wd0_default/E1/min: 1.5346580760942088
03-04 17:15:39 I loss/online/cls_sgd_lr01_wupcos_wd0_default/E1/last10: 1.549532976763235
03-04 17:15:39 I loss/online/cls_sgd_lr01_wupcos_wd0_default/E1/last50: 1.8329421525193057
03-04 17:15:39 I loss/online/cls_sgd_lr01_wupcos_wd0_default/U50/min: 1.51630251288414
03-04 17:15:39 I loss/online/cls_sgd_lr01_wupcos_wd0_default/U50/last10: 1.5316502472162248
03-04 17:15:39 I loss/online/cls_sgd_lr01_wupcos_wd0_default/U50/last50: 1.5356135793685914
03-04 17:15:39 I loss/online/total/E1/min: 16.080022816463625
03-04 17:15:39 I loss/online/total/E1/last10: 16.16163400486886
03-04 17:15:39 I loss/online/total/E1/last50: 18.541086732977206
03-04 17:15:39 I loss/online/total/U50/min: 15.888407950401305
03-04 17:15:39 I loss/online/total/U50/last10: 16.05200366687775
03-04 17:15:39 I loss/online/total/U50/last50: 16.087098020744325
03-04 17:15:39 I pushing summarized logvalues to wandb
03-04 17:15:40 I ------------------
03-04 17:15:40 I pattern=accuracy1/test*/last best_key='accuracy1/test/cls_sgd_lr009_wupcos_wd0_default/last' best_value=0.6672999858856201
03-04 17:15:40 I pattern=accuracy1/test*/max best_key='accuracy1/test/cls_sgd_lr009_wupcos_wd0_default/max' best_value=0.6672999858856201
03-04 17:15:40 I pattern=accuracy1/test/cls_*/last best_key='accuracy1/test/cls_sgd_lr009_wupcos_wd0_default/last' best_value=0.6672999858856201
03-04 17:15:40 I pattern=accuracy1/test/cls_*/max best_key='accuracy1/test/cls_sgd_lr009_wupcos_wd0_default/max' best_value=0.6672999858856201
03-04 17:15:40 I full profiling times:
  9677.68 train
     0.03 train.DatasetStatsLogger.before_training
     0.00 train.ParamCountLogger.before_training
     0.11 train.AccuracyLogger.before_training
     0.00 train.CheckpointLogger.before_training
     0.00 train.BestModelLogger.before_training
     1.51 train.iterator
    28.08 train.data_loading
  8843.96 train.update
     2.84 train.OnlineLossLogger.track_after_accumulation_step
     0.36 train.TrainTimeLogger.track_after_update_step
     0.20 train.LrLogger.after_update
     0.03 train.FreezerLogger.after_update
    17.24 train.OnlineLossLogger.after_update
     0.27 train.ProgressLogger.after_epoch
     0.61 train.TrainTimeLogger.after_epoch
     0.64 train.OnlineLossLogger.after_epoch
   545.03 train.AccuracyLogger.after_epoch
     3.12 train.BestModelLogger.after_epoch
     0.00 train.AccuracyLogger.after_training
     0.49 train.CheckpointLogger.after_training
     0.00 train.BestModelLogger.after_training
03-04 17:15:40 I ------------------
03-04 17:15:40 I CLEANUP
03-04 17:15:40 I ------------------
03-04 17:15:40 I encountered 0 warnings
03-04 17:15:40 I encountered 0 errors
03-04 17:15:44 I ------------------
03-04 17:15:44 I 243 tensors remaining in memory (cpu+gpu)
03-04 17:15:44 I 3 tensors remaining in memory (cpu)
03-04 17:15:44 I 240 tensors remaining in memory (gpu)