[2025-04-19 08:29:00,244 INFO] Use GPU: 0 for training
[2025-04-19 08:29:07,335 INFO] unlabeled data number: 11413, labeled data number 988
[2025-04-19 08:29:07,335 INFO] Create train and test data loaders
[2025-04-19 08:29:07,336 INFO] [!] data loader keys: dict_keys(['train_lb', 'train_ulb', 'eval'])
[2025-04-19 08:29:08,095 INFO] Create optimizer and scheduler
[2025-04-19 08:32:38,253 INFO] Number of Trainable Params: 1469432
[2025-04-19 08:32:38,483 INFO] Arguments: Namespace(T=0.5, algorithm='fixmatch', alpha=1.0, amp=False, batch_size=64, c='/nas/hyx/RLTSSL/config/config-1/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1.yaml', clip_grad=0.0, crop_ratio=0.875, data_dir='./data', dataset='cifar10', dist_backend='nccl', dist_url='tcp://127.0.0.1:17447', distributed=False, ema_m=0.999, epoch=256, eval_batch_size=256, gpu=0, hard_label=True, imb_algorithm='cpg', img_size=32, include_lb_to_ulb=False, layer_decay=1.0, lb_dest_len=988, lb_imb_ratio=100, lb_imb_type='exp', load_path='None', lr=0.03, momentum=0.9, multiprocessing_distributed=False, net='bi_rot_wrn_28_2', net_from_name=False, noise_per_class=False, noise_ratio=0.0, noise_type='asym', num_classes=10, num_eval_iter=1024, num_labels=400, num_log_iter=256, num_steps=5, num_train_iter=262144, num_warmup_iter=0, num_workers=1, optim='SGD', overwrite=True, p_cutoff=0.95, pretrain_path='', rank=0, resume=False, save_dir='./saved_models/cpg', save_name='203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1', seed=1, smoothing=0.1, train_sampler='RandomSampler', ulb_dest_len=11413, ulb_imb_ratio=100, ulb_imb_type='exp_random', ulb_loss_ratio=1.0, ulb_num_labels=4600, uratio=7, use_cat=True, use_pretrain=False, use_tensorboard=True, warm_up=30, weight_decay=0.0005, world_size=1)
[2025-04-19 08:32:38,484 INFO] Resume load path None does not exist
[2025-04-19 08:32:38,484 INFO] Model training
[2025-04-19 08:38:31,354 INFO] 256 iteration USE_EMA: True, train/sup_loss: 0.9931, train/aux_loss: 2.3320, train/total_loss: 3.3250, train/util_ratio: 0.0000, train/run_time: 0.1432, lr: 0.0300, train/prefecth_time: 0.0767 
[2025-04-19 08:39:28,992 INFO] 512 iteration USE_EMA: True, train/sup_loss: 0.8070, train/aux_loss: 2.3550, train/total_loss: 3.1621, train/util_ratio: 0.0000, train/run_time: 0.1023, lr: 0.0300, train/prefecth_time: 0.0050 
[2025-04-19 08:40:26,819 INFO] 768 iteration USE_EMA: True, train/sup_loss: 0.6674, train/aux_loss: 2.0948, train/total_loss: 2.7622, train/util_ratio: 0.0000, train/run_time: 0.1802, lr: 0.0300, train/prefecth_time: 0.0840 
[2025-04-19 08:41:23,918 INFO] validating...
[2025-04-19 08:41:26,739 INFO] confusion matrix:
[[0.546 0.001 0.069 0.003 0.003 0.    0.007 0.01  0.287 0.074]
 [0.059 0.12  0.008 0.    0.002 0.    0.005 0.003 0.382 0.421]
 [0.04  0.    0.624 0.033 0.048 0.008 0.04  0.027 0.104 0.076]
 [0.013 0.    0.343 0.243 0.042 0.021 0.047 0.023 0.11  0.158]
 [0.011 0.    0.466 0.037 0.267 0.008 0.029 0.05  0.067 0.065]
 [0.002 0.    0.336 0.255 0.047 0.087 0.024 0.033 0.102 0.114]
 [0.003 0.    0.41  0.048 0.124 0.003 0.253 0.022 0.039 0.098]
 [0.013 0.    0.202 0.064 0.129 0.027 0.045 0.216 0.067 0.237]
 [0.275 0.001 0.032 0.003 0.004 0.    0.002 0.002 0.615 0.066]
 [0.113 0.038 0.02  0.005 0.006 0.001 0.019 0.008 0.261 0.529]]
[2025-04-19 08:41:27,126 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 08:41:27,532 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 08:41:27,536 INFO] 1024 iteration, USE_EMA: True, train/sup_loss: 0.6054, train/aux_loss: 1.8281, train/total_loss: 2.4335, train/util_ratio: 0.0000, train/run_time: 0.2356, eval/loss: 1.9234, eval/top-1-acc: 0.3500, eval/top-5-acc: 0.7913, eval/balanced_acc: 0.3500, eval/precision: 0.4492, eval/recall: 0.3500, eval/F1: 0.3278, lr: 0.0300, train/prefecth_time: 0.0066 BEST_EVAL_ACC: 0.3500, at 1024 iters
[2025-04-19 08:42:25,636 INFO] 1280 iteration USE_EMA: True, train/sup_loss: 0.5720, train/aux_loss: 1.7658, train/total_loss: 2.3379, train/util_ratio: 0.0000, train/run_time: 0.1021, lr: 0.0300, train/prefecth_time: 0.0052 
[2025-04-19 08:43:23,464 INFO] 1536 iteration USE_EMA: True, train/sup_loss: 0.5856, train/aux_loss: 1.7284, train/total_loss: 2.3140, train/util_ratio: 0.0000, train/run_time: 0.2275, lr: 0.0300, train/prefecth_time: 0.0086 
[2025-04-19 08:44:21,137 INFO] 1792 iteration USE_EMA: True, train/sup_loss: 0.5703, train/aux_loss: 1.7305, train/total_loss: 2.3007, train/util_ratio: 0.0000, train/run_time: 0.2345, lr: 0.0300, train/prefecth_time: 0.0063 
[2025-04-19 08:45:17,722 INFO] validating...
[2025-04-19 08:45:20,210 INFO] confusion matrix:
[[0.619 0.002 0.026 0.011 0.004 0.001 0.016 0.002 0.104 0.215]
 [0.012 0.475 0.001 0.002 0.    0.    0.007 0.    0.089 0.414]
 [0.033 0.    0.505 0.1   0.042 0.021 0.108 0.007 0.027 0.157]
 [0.014 0.    0.1   0.534 0.014 0.056 0.108 0.006 0.035 0.133]
 [0.014 0.    0.226 0.131 0.311 0.017 0.129 0.048 0.014 0.11 ]
 [0.003 0.    0.105 0.425 0.019 0.246 0.063 0.01  0.028 0.101]
 [0.002 0.    0.102 0.131 0.031 0.008 0.665 0.003 0.008 0.05 ]
 [0.013 0.    0.078 0.157 0.09  0.073 0.04  0.317 0.008 0.224]
 [0.201 0.001 0.019 0.014 0.002 0.002 0.008 0.001 0.615 0.137]
 [0.043 0.064 0.003 0.01  0.    0.    0.017 0.001 0.022 0.84 ]]
[2025-04-19 08:45:20,612 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 08:45:20,962 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 08:45:20,963 INFO] 2048 iteration, USE_EMA: True, train/sup_loss: 0.5617, train/aux_loss: 1.6913, train/total_loss: 2.2530, train/util_ratio: 0.0000, train/run_time: 0.1420, eval/loss: 1.5841, eval/top-1-acc: 0.5127, eval/top-5-acc: 0.8559, eval/balanced_acc: 0.5127, eval/precision: 0.5873, eval/recall: 0.5127, eval/F1: 0.5095, lr: 0.0300, train/prefecth_time: 0.0043 BEST_EVAL_ACC: 0.5127, at 2048 iters
[2025-04-19 08:46:19,131 INFO] 2304 iteration USE_EMA: True, train/sup_loss: 0.6180, train/aux_loss: 1.7814, train/total_loss: 2.3994, train/util_ratio: 0.0000, train/run_time: 0.1423, lr: 0.0300, train/prefecth_time: 0.0072 
[2025-04-19 08:47:17,018 INFO] 2560 iteration USE_EMA: True, train/sup_loss: 0.5589, train/aux_loss: 1.6450, train/total_loss: 2.2038, train/util_ratio: 0.0000, train/run_time: 0.1805, lr: 0.0300, train/prefecth_time: 0.0093 
[2025-04-19 08:48:14,143 INFO] 2816 iteration USE_EMA: True, train/sup_loss: 0.6595, train/aux_loss: 1.8796, train/total_loss: 2.5391, train/util_ratio: 0.0000, train/run_time: 0.1390, lr: 0.0300, train/prefecth_time: 0.0101 
[2025-04-19 08:49:10,933 INFO] validating...
[2025-04-19 08:49:13,710 INFO] confusion matrix:
[[0.465 0.005 0.022 0.007 0.003 0.003 0.016 0.004 0.06  0.415]
 [0.005 0.612 0.    0.    0.    0.    0.007 0.002 0.046 0.328]
 [0.027 0.    0.542 0.071 0.038 0.028 0.098 0.012 0.015 0.169]
 [0.009 0.    0.116 0.482 0.014 0.072 0.133 0.011 0.018 0.145]
 [0.008 0.    0.19  0.095 0.356 0.021 0.114 0.101 0.007 0.108]
 [0.003 0.    0.108 0.307 0.018 0.355 0.072 0.026 0.01  0.101]
 [0.001 0.    0.094 0.099 0.025 0.006 0.731 0.002 0.004 0.038]
 [0.01  0.    0.064 0.088 0.078 0.066 0.021 0.473 0.006 0.194]
 [0.098 0.002 0.015 0.013 0.003 0.002 0.008 0.    0.708 0.151]
 [0.011 0.034 0.003 0.005 0.    0.    0.009 0.    0.015 0.923]]
[2025-04-19 08:49:14,030 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 08:49:14,455 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 08:49:14,457 INFO] 3072 iteration, USE_EMA: True, train/sup_loss: 0.5518, train/aux_loss: 1.6164, train/total_loss: 2.1682, train/util_ratio: 0.0000, train/run_time: 0.1596, eval/loss: 1.4573, eval/top-1-acc: 0.5647, eval/top-5-acc: 0.8723, eval/balanced_acc: 0.5647, eval/precision: 0.6367, eval/recall: 0.5647, eval/F1: 0.5686, lr: 0.0300, train/prefecth_time: 0.1313 BEST_EVAL_ACC: 0.5647, at 3072 iters
[2025-04-19 08:50:13,483 INFO] 3328 iteration USE_EMA: True, train/sup_loss: 0.5545, train/aux_loss: 1.6544, train/total_loss: 2.2090, train/util_ratio: 0.0000, train/run_time: 0.1801, lr: 0.0300, train/prefecth_time: 0.0757 
[2025-04-19 08:51:17,885 INFO] 3584 iteration USE_EMA: True, train/sup_loss: 0.5537, train/aux_loss: 1.5749, train/total_loss: 2.1286, train/util_ratio: 0.0000, train/run_time: 0.1362, lr: 0.0300, train/prefecth_time: 0.0083 
[2025-04-19 08:52:16,165 INFO] 3840 iteration USE_EMA: True, train/sup_loss: 0.5730, train/aux_loss: 1.6962, train/total_loss: 2.2692, train/util_ratio: 0.0000, train/run_time: 0.1316, lr: 0.0300, train/prefecth_time: 0.0059 
[2025-04-19 08:53:15,252 INFO] validating...
[2025-04-19 08:53:18,112 INFO] confusion matrix:
[[0.14  0.006 0.016 0.006 0.004 0.004 0.013 0.003 0.051 0.757]
 [0.002 0.721 0.001 0.    0.    0.    0.005 0.002 0.024 0.245]
 [0.014 0.    0.557 0.058 0.047 0.027 0.083 0.017 0.009 0.188]
 [0.004 0.001 0.109 0.469 0.021 0.086 0.131 0.014 0.014 0.151]
 [0.004 0.    0.177 0.067 0.419 0.016 0.107 0.102 0.005 0.103]
 [0.001 0.    0.104 0.266 0.023 0.408 0.065 0.039 0.002 0.092]
 [0.002 0.    0.087 0.084 0.027 0.005 0.756 0.001 0.004 0.034]
 [0.005 0.    0.071 0.068 0.078 0.066 0.014 0.542 0.004 0.152]
 [0.059 0.004 0.016 0.011 0.001 0.002 0.006 0.001 0.73  0.17 ]
 [0.    0.026 0.002 0.004 0.001 0.    0.004 0.002 0.008 0.953]]
[2025-04-19 08:53:18,671 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 08:53:19,201 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 08:53:19,202 INFO] 4096 iteration, USE_EMA: True, train/sup_loss: 0.5526, train/aux_loss: 1.5775, train/total_loss: 2.1302, train/util_ratio: 0.0000, train/run_time: 0.2312, eval/loss: 1.3982, eval/top-1-acc: 0.5695, eval/top-5-acc: 0.8764, eval/balanced_acc: 0.5695, eval/precision: 0.6420, eval/recall: 0.5695, eval/F1: 0.5658, lr: 0.0300, train/prefecth_time: 0.0066 BEST_EVAL_ACC: 0.5695, at 4096 iters
[2025-04-19 08:54:23,117 INFO] 4352 iteration USE_EMA: True, train/sup_loss: 0.5523, train/aux_loss: 1.6024, train/total_loss: 2.1547, train/util_ratio: 0.0000, train/run_time: 0.1291, lr: 0.0300, train/prefecth_time: 0.0053 
[2025-04-19 08:55:23,422 INFO] 4608 iteration USE_EMA: True, train/sup_loss: 0.5838, train/aux_loss: 1.7382, train/total_loss: 2.3220, train/util_ratio: 0.0000, train/run_time: 0.2295, lr: 0.0300, train/prefecth_time: 0.0066 
[2025-04-19 08:56:22,573 INFO] 4864 iteration USE_EMA: True, train/sup_loss: 0.5511, train/aux_loss: 1.5934, train/total_loss: 2.1445, train/util_ratio: 0.0000, train/run_time: 0.1020, lr: 0.0300, train/prefecth_time: 0.0068 
[2025-04-19 08:57:26,291 INFO] validating...
[2025-04-19 08:57:29,609 INFO] confusion matrix:
[[0.055 0.007 0.014 0.003 0.003 0.004 0.01  0.004 0.048 0.852]
 [0.001 0.772 0.    0.    0.    0.001 0.003 0.003 0.011 0.209]
 [0.01  0.    0.578 0.057 0.049 0.035 0.087 0.016 0.005 0.163]
 [0.001 0.001 0.105 0.479 0.021 0.085 0.134 0.014 0.009 0.151]
 [0.003 0.    0.148 0.066 0.475 0.017 0.104 0.087 0.01  0.09 ]
 [0.001 0.    0.104 0.258 0.027 0.437 0.063 0.034 0.005 0.071]
 [0.001 0.    0.074 0.08  0.025 0.003 0.78  0.001 0.004 0.032]
 [0.002 0.    0.055 0.066 0.084 0.066 0.013 0.592 0.004 0.118]
 [0.049 0.007 0.015 0.01  0.    0.001 0.004 0.001 0.637 0.276]
 [0.    0.032 0.003 0.004 0.001 0.    0.004 0.001 0.008 0.947]]
[2025-04-19 08:57:30,064 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 08:57:30,609 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 08:57:30,609 INFO] 5120 iteration, USE_EMA: True, train/sup_loss: 0.5523, train/aux_loss: 1.5313, train/total_loss: 2.0835, train/util_ratio: 0.0000, train/run_time: 0.1402, eval/loss: 1.3670, eval/top-1-acc: 0.5752, eval/top-5-acc: 0.8823, eval/balanced_acc: 0.5752, eval/precision: 0.6372, eval/recall: 0.5752, eval/F1: 0.5666, lr: 0.0300, train/prefecth_time: 0.0737 BEST_EVAL_ACC: 0.5752, at 5120 iters
[2025-04-19 08:58:35,679 INFO] 5376 iteration USE_EMA: True, train/sup_loss: 0.5911, train/aux_loss: 1.6950, train/total_loss: 2.2861, train/util_ratio: 0.0000, train/run_time: 0.1797, lr: 0.0300, train/prefecth_time: 0.0175 
[2025-04-19 08:59:35,532 INFO] 5632 iteration USE_EMA: True, train/sup_loss: 0.5491, train/aux_loss: 1.4887, train/total_loss: 2.0379, train/util_ratio: 0.0000, train/run_time: 0.1538, lr: 0.0300, train/prefecth_time: 0.1475 
[2025-04-19 09:00:35,981 INFO] 5888 iteration USE_EMA: True, train/sup_loss: 0.5477, train/aux_loss: 1.4654, train/total_loss: 2.0131, train/util_ratio: 0.0000, train/run_time: 0.1027, lr: 0.0300, train/prefecth_time: 0.2198 
[2025-04-19 09:01:38,155 INFO] validating...
[2025-04-19 09:01:40,762 INFO] confusion matrix:
[[0.043 0.006 0.013 0.002 0.003 0.003 0.008 0.003 0.036 0.883]
 [0.    0.781 0.    0.    0.    0.    0.003 0.003 0.006 0.207]
 [0.008 0.    0.564 0.052 0.045 0.037 0.089 0.019 0.006 0.18 ]
 [0.001 0.001 0.095 0.491 0.026 0.084 0.13  0.013 0.008 0.151]
 [0.003 0.    0.145 0.066 0.502 0.012 0.096 0.082 0.01  0.084]
 [0.001 0.    0.073 0.248 0.026 0.484 0.054 0.033 0.002 0.079]
 [0.001 0.    0.069 0.064 0.016 0.003 0.813 0.    0.001 0.033]
 [0.002 0.    0.052 0.059 0.072 0.05  0.014 0.632 0.006 0.113]
 [0.02  0.008 0.014 0.012 0.    0.001 0.004 0.    0.513 0.428]
 [0.001 0.027 0.003 0.004 0.001 0.    0.001 0.001 0.007 0.955]]
[2025-04-19 09:01:41,393 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 09:01:42,049 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 09:01:42,050 INFO] 6144 iteration, USE_EMA: True, train/sup_loss: 0.6366, train/aux_loss: 1.7056, train/total_loss: 2.3422, train/util_ratio: 0.0000, train/run_time: 0.1030, eval/loss: 1.3453, eval/top-1-acc: 0.5778, eval/top-5-acc: 0.8845, eval/balanced_acc: 0.5778, eval/precision: 0.6615, eval/recall: 0.5778, eval/F1: 0.5707, lr: 0.0300, train/prefecth_time: 0.1350 BEST_EVAL_ACC: 0.5778, at 6144 iters
[2025-04-19 09:02:46,114 INFO] 6400 iteration USE_EMA: True, train/sup_loss: 0.5524, train/aux_loss: 1.5196, train/total_loss: 2.0719, train/util_ratio: 0.0000, train/run_time: 0.1053, lr: 0.0300, train/prefecth_time: 0.2201 
[2025-04-19 09:03:50,279 INFO] 6656 iteration USE_EMA: True, train/sup_loss: 0.5587, train/aux_loss: 1.4410, train/total_loss: 1.9997, train/util_ratio: 0.0000, train/run_time: 0.1433, lr: 0.0300, train/prefecth_time: 0.2114 
[2025-04-19 09:04:53,991 INFO] 6912 iteration USE_EMA: True, train/sup_loss: 0.5486, train/aux_loss: 1.5679, train/total_loss: 2.1165, train/util_ratio: 0.0000, train/run_time: 0.1019, lr: 0.0300, train/prefecth_time: 0.2516 
[2025-04-19 09:05:56,305 INFO] validating...
[2025-04-19 09:05:59,166 INFO] confusion matrix:
[[0.044 0.008 0.013 0.002 0.003 0.003 0.007 0.003 0.034 0.883]
 [0.001 0.869 0.    0.    0.    0.    0.002 0.002 0.006 0.12 ]
 [0.006 0.    0.561 0.056 0.039 0.035 0.097 0.017 0.006 0.183]
 [0.002 0.001 0.089 0.508 0.027 0.077 0.123 0.014 0.007 0.152]
 [0.001 0.    0.131 0.05  0.546 0.013 0.097 0.061 0.006 0.095]
 [0.002 0.    0.071 0.244 0.03  0.494 0.052 0.034 0.001 0.072]
 [0.    0.    0.065 0.059 0.012 0.004 0.829 0.    0.001 0.03 ]
 [0.004 0.    0.05  0.06  0.069 0.047 0.012 0.634 0.005 0.119]
 [0.038 0.011 0.013 0.011 0.001 0.001 0.003 0.    0.521 0.401]
 [0.001 0.094 0.002 0.005 0.    0.    0.    0.002 0.005 0.891]]
[2025-04-19 09:05:59,667 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 09:06:00,137 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 09:06:00,139 INFO] 7168 iteration, USE_EMA: True, train/sup_loss: 0.5820, train/aux_loss: 1.5364, train/total_loss: 2.1184, train/util_ratio: 0.0000, train/run_time: 0.1027, eval/loss: 1.3199, eval/top-1-acc: 0.5897, eval/top-5-acc: 0.8888, eval/balanced_acc: 0.5897, eval/precision: 0.6574, eval/recall: 0.5897, eval/F1: 0.5821, lr: 0.0300, train/prefecth_time: 0.0829 BEST_EVAL_ACC: 0.5897, at 7168 iters
[2025-04-19 09:07:03,022 INFO] 7424 iteration USE_EMA: True, train/sup_loss: 0.5504, train/aux_loss: 1.5185, train/total_loss: 2.0689, train/util_ratio: 0.0000, train/run_time: 0.1808, lr: 0.0300, train/prefecth_time: 0.0086 
[2025-04-19 09:08:03,353 INFO] 7680 iteration USE_EMA: True, train/sup_loss: 0.5802, train/aux_loss: 1.6116, train/total_loss: 2.1918, train/util_ratio: 0.0000, train/run_time: 0.1003, lr: 0.0300, train/prefecth_time: 0.1641 
[2025-04-19 09:09:01,021 INFO] 7936 iteration USE_EMA: True, train/sup_loss: 0.5476, train/aux_loss: 1.5379, train/total_loss: 2.0855, train/util_ratio: 0.0000, train/run_time: 0.1019, lr: 0.0300, train/prefecth_time: 0.2060 
[2025-04-19 09:09:58,240 INFO] validating...
[2025-04-19 09:10:09,541 INFO] confusion matrix:
[[0.046 0.007 0.012 0.002 0.005 0.002 0.006 0.004 0.052 0.864]
 [0.001 0.882 0.    0.001 0.    0.001 0.002 0.002 0.007 0.104]
 [0.011 0.    0.552 0.061 0.045 0.033 0.099 0.013 0.007 0.179]
 [0.002 0.001 0.086 0.507 0.026 0.081 0.122 0.016 0.009 0.15 ]
 [0.004 0.    0.123 0.052 0.567 0.013 0.094 0.056 0.004 0.087]
 [0.002 0.    0.066 0.245 0.026 0.509 0.043 0.035 0.003 0.071]
 [0.    0.    0.06  0.058 0.014 0.002 0.84  0.    0.001 0.025]
 [0.003 0.    0.047 0.062 0.059 0.04  0.011 0.659 0.003 0.116]
 [0.028 0.01  0.007 0.012 0.    0.    0.003 0.    0.582 0.358]
 [0.001 0.315 0.001 0.005 0.001 0.    0.    0.002 0.006 0.669]]
[2025-04-19 09:10:12,369 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 09:10:12,370 INFO] 8192 iteration, USE_EMA: True, train/sup_loss: 0.5521, train/aux_loss: 1.5977, train/total_loss: 2.1498, train/util_ratio: 0.0000, train/run_time: 0.1026, eval/loss: 1.3110, eval/top-1-acc: 0.5813, eval/top-5-acc: 0.8928, eval/balanced_acc: 0.5813, eval/precision: 0.6433, eval/recall: 0.5813, eval/F1: 0.5766, lr: 0.0300, train/prefecth_time: 0.0045 BEST_EVAL_ACC: 0.5897, at 7168 iters
[2025-04-19 09:11:16,817 INFO] 8448 iteration USE_EMA: True, train/sup_loss: 0.5481, train/aux_loss: 1.5231, train/total_loss: 2.0712, train/util_ratio: 0.0000, train/run_time: 0.1473, lr: 0.0300, train/prefecth_time: 0.0044 
[2025-04-19 09:12:16,219 INFO] 8704 iteration USE_EMA: True, train/sup_loss: 0.5976, train/aux_loss: 1.7281, train/total_loss: 2.3257, train/util_ratio: 0.0000, train/run_time: 0.1149, lr: 0.0300, train/prefecth_time: 0.0065 
[2025-04-19 09:13:15,754 INFO] 8960 iteration USE_EMA: True, train/sup_loss: 0.5473, train/aux_loss: 1.5325, train/total_loss: 2.0797, train/util_ratio: 0.0000, train/run_time: 0.1839, lr: 0.0300, train/prefecth_time: 0.0041 
[2025-04-19 09:14:13,955 INFO] validating...
[2025-04-19 09:14:16,591 INFO] confusion matrix:
[[0.029 0.009 0.011 0.002 0.006 0.002 0.005 0.005 0.044 0.887]
 [0.    0.883 0.    0.001 0.    0.001 0.002 0.002 0.006 0.105]
 [0.008 0.    0.556 0.062 0.041 0.039 0.093 0.012 0.006 0.183]
 [0.001 0.002 0.082 0.53  0.024 0.088 0.103 0.017 0.004 0.149]
 [0.003 0.    0.117 0.054 0.573 0.017 0.085 0.052 0.004 0.095]
 [0.    0.    0.061 0.229 0.024 0.536 0.037 0.036 0.003 0.074]
 [0.    0.    0.065 0.058 0.01  0.008 0.835 0.    0.    0.024]
 [0.005 0.    0.043 0.057 0.054 0.037 0.01  0.669 0.005 0.12 ]
 [0.016 0.009 0.008 0.01  0.    0.001 0.004 0.001 0.572 0.379]
 [0.    0.337 0.002 0.005 0.001 0.    0.    0.002 0.006 0.647]]
[2025-04-19 09:14:17,167 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 09:14:17,168 INFO] 9216 iteration, USE_EMA: True, train/sup_loss: 0.5462, train/aux_loss: 1.4862, train/total_loss: 2.0324, train/util_ratio: 0.0000, train/run_time: 0.1871, eval/loss: 1.2936, eval/top-1-acc: 0.5830, eval/top-5-acc: 0.8969, eval/balanced_acc: 0.5830, eval/precision: 0.6486, eval/recall: 0.5830, eval/F1: 0.5784, lr: 0.0300, train/prefecth_time: 0.0054 BEST_EVAL_ACC: 0.5897, at 7168 iters
[2025-04-19 09:15:21,151 INFO] 9472 iteration USE_EMA: True, train/sup_loss: 0.5618, train/aux_loss: 1.7425, train/total_loss: 2.3043, train/util_ratio: 0.0000, train/run_time: 0.1021, lr: 0.0300, train/prefecth_time: 0.0056 
[2025-04-19 09:16:21,090 INFO] 9728 iteration USE_EMA: True, train/sup_loss: 0.5468, train/aux_loss: 1.4818, train/total_loss: 2.0285, train/util_ratio: 0.0000, train/run_time: 0.1033, lr: 0.0300, train/prefecth_time: 0.0973 
[2025-04-19 09:17:22,927 INFO] 9984 iteration USE_EMA: True, train/sup_loss: 0.5463, train/aux_loss: 1.4483, train/total_loss: 1.9946, train/util_ratio: 0.0000, train/run_time: 0.1022, lr: 0.0300, train/prefecth_time: 0.1724 
[2025-04-19 09:18:24,852 INFO] validating...
[2025-04-19 09:18:27,282 INFO] confusion matrix:
[[0.021 0.005 0.013 0.002 0.006 0.001 0.005 0.003 0.027 0.917]
 [0.    0.889 0.    0.001 0.    0.001 0.002 0.002 0.005 0.1  ]
 [0.005 0.    0.571 0.048 0.039 0.031 0.098 0.008 0.004 0.196]
 [0.001 0.001 0.077 0.511 0.022 0.084 0.104 0.019 0.005 0.176]
 [0.004 0.    0.109 0.043 0.588 0.011 0.082 0.051 0.004 0.108]
 [0.    0.    0.071 0.219 0.025 0.536 0.036 0.034 0.001 0.078]
 [0.    0.    0.065 0.043 0.007 0.005 0.852 0.    0.    0.028]
 [0.003 0.    0.049 0.047 0.052 0.031 0.013 0.672 0.004 0.129]
 [0.008 0.006 0.006 0.01  0.    0.    0.005 0.001 0.552 0.412]
 [0.    0.374 0.002 0.006 0.001 0.    0.    0.002 0.005 0.61 ]]
[2025-04-19 09:18:27,694 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 09:18:27,696 INFO] 10240 iteration, USE_EMA: True, train/sup_loss: 0.5489, train/aux_loss: 1.4943, train/total_loss: 2.0432, train/util_ratio: 0.0000, train/run_time: 0.1026, eval/loss: 1.2950, eval/top-1-acc: 0.5802, eval/top-5-acc: 0.8962, eval/balanced_acc: 0.5802, eval/precision: 0.6591, eval/recall: 0.5802, eval/F1: 0.5777, lr: 0.0300, train/prefecth_time: 0.1860 BEST_EVAL_ACC: 0.5897, at 7168 iters
[2025-04-19 09:19:25,952 INFO] 10496 iteration USE_EMA: True, train/sup_loss: 0.5838, train/aux_loss: 1.6455, train/total_loss: 2.2293, train/util_ratio: 0.0000, train/run_time: 0.1025, lr: 0.0300, train/prefecth_time: 0.0599 
[2025-04-19 09:20:24,456 INFO] 10752 iteration USE_EMA: True, train/sup_loss: 0.5478, train/aux_loss: 1.5623, train/total_loss: 2.1100, train/util_ratio: 0.0000, train/run_time: 0.1037, lr: 0.0300, train/prefecth_time: 0.0082 
[2025-04-19 09:21:25,044 INFO] 11008 iteration USE_EMA: True, train/sup_loss: 0.5470, train/aux_loss: 1.4826, train/total_loss: 2.0296, train/util_ratio: 0.0000, train/run_time: 0.1056, lr: 0.0300, train/prefecth_time: 0.0104 
[2025-04-19 09:22:25,230 INFO] validating...
[2025-04-19 09:22:27,629 INFO] confusion matrix:
[[0.034 0.006 0.009 0.001 0.004 0.002 0.005 0.003 0.035 0.901]
 [0.003 0.901 0.    0.001 0.    0.001 0.003 0.001 0.006 0.084]
 [0.007 0.    0.565 0.048 0.037 0.043 0.077 0.008 0.003 0.212]
 [0.003 0.001 0.07  0.526 0.021 0.104 0.094 0.017 0.007 0.157]
 [0.004 0.    0.108 0.046 0.599 0.019 0.075 0.045 0.004 0.1  ]
 [0.001 0.    0.061 0.221 0.022 0.546 0.038 0.029 0.001 0.081]
 [0.002 0.    0.066 0.045 0.006 0.011 0.851 0.    0.    0.019]
 [0.004 0.    0.043 0.05  0.045 0.039 0.008 0.671 0.006 0.134]
 [0.146 0.006 0.006 0.007 0.    0.001 0.003 0.    0.605 0.226]
 [0.004 0.394 0.002 0.007 0.001 0.    0.    0.002 0.006 0.584]]
[2025-04-19 09:22:28,223 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 09:22:28,223 INFO] 11264 iteration, USE_EMA: True, train/sup_loss: 0.6404, train/aux_loss: 1.7226, train/total_loss: 2.3630, train/util_ratio: 0.0000, train/run_time: 0.1582, eval/loss: 1.2769, eval/top-1-acc: 0.5882, eval/top-5-acc: 0.9030, eval/balanced_acc: 0.5882, eval/precision: 0.6275, eval/recall: 0.5882, eval/F1: 0.5873, lr: 0.0299, train/prefecth_time: 0.0065 BEST_EVAL_ACC: 0.5897, at 7168 iters
[2025-04-19 09:23:28,521 INFO] 11520 iteration USE_EMA: True, train/sup_loss: 0.5494, train/aux_loss: 1.4467, train/total_loss: 1.9961, train/util_ratio: 0.0000, train/run_time: 0.1017, lr: 0.0299, train/prefecth_time: 0.2248 
[2025-04-19 09:24:26,820 INFO] 11776 iteration USE_EMA: True, train/sup_loss: 0.5459, train/aux_loss: 1.4952, train/total_loss: 2.0411, train/util_ratio: 0.0000, train/run_time: 0.1033, lr: 0.0299, train/prefecth_time: 0.2030 
[2025-04-19 09:25:25,576 INFO] 12032 iteration USE_EMA: True, train/sup_loss: 0.5468, train/aux_loss: 1.4728, train/total_loss: 2.0197, train/util_ratio: 0.0000, train/run_time: 0.1016, lr: 0.0299, train/prefecth_time: 0.1449 
[2025-04-19 09:26:24,124 INFO] validating...
[2025-04-19 09:26:26,693 INFO] confusion matrix:
[[0.013 0.006 0.011 0.002 0.003 0.002 0.005 0.003 0.032 0.923]
 [0.    0.902 0.    0.001 0.    0.001 0.003 0.    0.008 0.085]
 [0.005 0.    0.582 0.042 0.035 0.044 0.078 0.008 0.003 0.203]
 [0.    0.001 0.084 0.529 0.02  0.101 0.094 0.017 0.007 0.147]
 [0.001 0.    0.108 0.041 0.615 0.017 0.072 0.045 0.006 0.095]
 [0.001 0.    0.06  0.211 0.024 0.566 0.036 0.031 0.002 0.069]
 [0.    0.    0.072 0.041 0.004 0.011 0.852 0.    0.    0.02 ]
 [0.    0.    0.049 0.049 0.045 0.039 0.011 0.68  0.006 0.121]
 [0.028 0.007 0.005 0.008 0.001 0.    0.003 0.    0.652 0.296]
 [0.    0.362 0.002 0.005 0.001 0.    0.001 0.002 0.006 0.621]]
[2025-04-19 09:26:27,057 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 09:26:27,379 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 09:26:27,381 INFO] 12288 iteration, USE_EMA: True, train/sup_loss: 0.6217, train/aux_loss: 1.7429, train/total_loss: 2.3646, train/util_ratio: 0.0000, train/run_time: 0.1014, eval/loss: 1.2572, eval/top-1-acc: 0.6012, eval/top-5-acc: 0.9041, eval/balanced_acc: 0.6012, eval/precision: 0.6438, eval/recall: 0.6012, eval/F1: 0.5951, lr: 0.0299, train/prefecth_time: 0.1897 BEST_EVAL_ACC: 0.6012, at 12288 iters
[2025-04-19 09:27:27,414 INFO] 12544 iteration USE_EMA: True, train/sup_loss: 0.5465, train/aux_loss: 1.5147, train/total_loss: 2.0612, train/util_ratio: 0.0000, train/run_time: 0.1024, lr: 0.0299, train/prefecth_time: 0.1860 
[2025-04-19 09:28:26,812 INFO] 12800 iteration USE_EMA: True, train/sup_loss: 0.5494, train/aux_loss: 1.5683, train/total_loss: 2.1177, train/util_ratio: 0.0000, train/run_time: 0.1036, lr: 0.0299, train/prefecth_time: 0.2182 
[2025-04-19 09:29:26,026 INFO] 13056 iteration USE_EMA: True, train/sup_loss: 0.5463, train/aux_loss: 1.5425, train/total_loss: 2.0888, train/util_ratio: 0.0000, train/run_time: 0.1376, lr: 0.0299, train/prefecth_time: 0.1944 
[2025-04-19 09:30:25,608 INFO] validating...
[2025-04-19 09:30:27,977 INFO] confusion matrix:
[[0.012 0.006 0.01  0.001 0.006 0.001 0.006 0.003 0.032 0.923]
 [0.    0.901 0.    0.001 0.    0.001 0.002 0.    0.006 0.089]
 [0.004 0.    0.584 0.042 0.033 0.033 0.089 0.007 0.002 0.206]
 [0.002 0.001 0.078 0.535 0.019 0.091 0.096 0.015 0.006 0.157]
 [0.002 0.    0.104 0.034 0.622 0.017 0.083 0.039 0.005 0.094]
 [0.    0.    0.061 0.214 0.021 0.571 0.039 0.03  0.002 0.062]
 [0.    0.    0.067 0.043 0.004 0.009 0.852 0.    0.    0.025]
 [0.001 0.    0.05  0.052 0.043 0.035 0.011 0.683 0.004 0.121]
 [0.018 0.002 0.005 0.007 0.    0.    0.003 0.    0.562 0.403]
 [0.    0.399 0.001 0.007 0.001 0.    0.001 0.001 0.004 0.586]]
[2025-04-19 09:30:28,583 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 09:30:28,585 INFO] 13312 iteration, USE_EMA: True, train/sup_loss: 0.5466, train/aux_loss: 1.5172, train/total_loss: 2.0638, train/util_ratio: 0.0000, train/run_time: 0.1026, eval/loss: 1.2678, eval/top-1-acc: 0.5908, eval/top-5-acc: 0.9050, eval/balanced_acc: 0.5908, eval/precision: 0.6480, eval/recall: 0.5908, eval/F1: 0.5874, lr: 0.0299, train/prefecth_time: 0.0054 BEST_EVAL_ACC: 0.6012, at 12288 iters
[2025-04-19 09:31:27,558 INFO] 13568 iteration USE_EMA: True, train/sup_loss: 0.5460, train/aux_loss: 1.4394, train/total_loss: 1.9855, train/util_ratio: 0.0000, train/run_time: 0.1032, lr: 0.0299, train/prefecth_time: 0.1775 
[2025-04-19 09:32:25,619 INFO] 13824 iteration USE_EMA: True, train/sup_loss: 0.5735, train/aux_loss: 1.6146, train/total_loss: 2.1881, train/util_ratio: 0.0000, train/run_time: 0.1451, lr: 0.0299, train/prefecth_time: 0.2339 
[2025-04-19 09:33:24,857 INFO] 14080 iteration USE_EMA: True, train/sup_loss: 0.5469, train/aux_loss: 1.4500, train/total_loss: 1.9968, train/util_ratio: 0.0000, train/run_time: 0.1052, lr: 0.0299, train/prefecth_time: 0.2310 
[2025-04-19 09:34:28,222 INFO] validating...
[2025-04-19 09:34:31,110 INFO] confusion matrix:
[[0.014 0.005 0.013 0.001 0.002 0.001 0.005 0.003 0.029 0.927]
 [0.001 0.894 0.    0.    0.    0.001 0.002 0.    0.006 0.096]
 [0.003 0.    0.593 0.033 0.034 0.029 0.087 0.006 0.003 0.212]
 [0.002 0.001 0.082 0.526 0.017 0.095 0.088 0.013 0.008 0.168]
 [0.001 0.    0.1   0.027 0.623 0.018 0.083 0.037 0.002 0.109]
 [0.    0.    0.068 0.197 0.021 0.572 0.033 0.036 0.001 0.072]
 [0.    0.    0.075 0.041 0.005 0.009 0.848 0.    0.    0.022]
 [0.002 0.    0.061 0.041 0.038 0.032 0.009 0.682 0.005 0.13 ]
 [0.006 0.003 0.005 0.004 0.    0.    0.002 0.    0.525 0.455]
 [0.001 0.428 0.002 0.007 0.    0.    0.    0.    0.002 0.56 ]]
[2025-04-19 09:34:31,447 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 09:34:31,448 INFO] 14336 iteration, USE_EMA: True, train/sup_loss: 0.5462, train/aux_loss: 1.4226, train/total_loss: 1.9689, train/util_ratio: 0.0000, train/run_time: 0.1041, eval/loss: 1.2712, eval/top-1-acc: 0.5837, eval/top-5-acc: 0.9039, eval/balanced_acc: 0.5837, eval/precision: 0.6647, eval/recall: 0.5837, eval/F1: 0.5832, lr: 0.0299, train/prefecth_time: 0.0047 BEST_EVAL_ACC: 0.6012, at 12288 iters
[2025-04-19 09:35:33,461 INFO] 14592 iteration USE_EMA: True, train/sup_loss: 0.5475, train/aux_loss: 1.4089, train/total_loss: 1.9564, train/util_ratio: 0.0000, train/run_time: 0.1045, lr: 0.0299, train/prefecth_time: 0.0097 
[2025-04-19 09:36:31,258 INFO] 14848 iteration USE_EMA: True, train/sup_loss: 0.6162, train/aux_loss: 1.7106, train/total_loss: 2.3268, train/util_ratio: 0.0000, train/run_time: 0.1023, lr: 0.0299, train/prefecth_time: 0.0047 
[2025-04-19 09:37:29,852 INFO] 15104 iteration USE_EMA: True, train/sup_loss: 0.5461, train/aux_loss: 1.4735, train/total_loss: 2.0196, train/util_ratio: 0.0000, train/run_time: 0.1029, lr: 0.0299, train/prefecth_time: 0.0070 
[2025-04-19 09:38:27,500 INFO] validating...
[2025-04-19 09:38:30,079 INFO] confusion matrix:
[[0.018 0.004 0.012 0.001 0.004 0.001 0.005 0.004 0.032 0.919]
 [0.001 0.896 0.    0.    0.    0.001 0.004 0.    0.008 0.09 ]
 [0.001 0.    0.599 0.032 0.033 0.035 0.086 0.006 0.003 0.205]
 [0.002 0.001 0.073 0.526 0.019 0.095 0.086 0.015 0.006 0.177]
 [0.002 0.    0.109 0.024 0.623 0.014 0.077 0.047 0.001 0.103]
 [0.    0.    0.07  0.188 0.025 0.591 0.025 0.033 0.001 0.067]
 [0.    0.    0.071 0.047 0.006 0.007 0.847 0.    0.    0.022]
 [0.    0.    0.061 0.038 0.038 0.029 0.01  0.695 0.005 0.124]
 [0.023 0.004 0.005 0.003 0.    0.    0.003 0.    0.599 0.363]
 [0.    0.383 0.001 0.006 0.    0.    0.    0.    0.004 0.606]]
[2025-04-19 09:38:30,429 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 09:38:30,430 INFO] 15360 iteration, USE_EMA: True, train/sup_loss: 0.5473, train/aux_loss: 1.4371, train/total_loss: 1.9844, train/util_ratio: 0.0000, train/run_time: 0.1028, eval/loss: 1.2450, eval/top-1-acc: 0.6000, eval/top-5-acc: 0.9063, eval/balanced_acc: 0.6000, eval/precision: 0.6628, eval/recall: 0.6000, eval/F1: 0.5974, lr: 0.0299, train/prefecth_time: 0.0950 BEST_EVAL_ACC: 0.6012, at 12288 iters
[2025-04-19 09:39:31,704 INFO] 15616 iteration USE_EMA: True, train/sup_loss: 0.5634, train/aux_loss: 1.4891, train/total_loss: 2.0525, train/util_ratio: 0.0000, train/run_time: 0.1026, lr: 0.0299, train/prefecth_time: 0.0080 
[2025-04-19 09:40:31,576 INFO] 15872 iteration USE_EMA: True, train/sup_loss: 0.5476, train/aux_loss: 1.4625, train/total_loss: 2.0101, train/util_ratio: 0.0000, train/run_time: 0.1037, lr: 0.0299, train/prefecth_time: 0.2175 
[2025-04-19 09:41:31,780 INFO] 16128 iteration USE_EMA: True, train/sup_loss: 0.6270, train/aux_loss: 1.7913, train/total_loss: 2.4183, train/util_ratio: 0.0000, train/run_time: 0.1019, lr: 0.0299, train/prefecth_time: 0.0051 
[2025-04-19 09:42:32,908 INFO] validating...
[2025-04-19 09:42:35,564 INFO] confusion matrix:
[[0.008 0.003 0.009 0.    0.002 0.002 0.005 0.005 0.037 0.929]
 [0.001 0.908 0.    0.001 0.    0.001 0.003 0.001 0.006 0.079]
 [0.001 0.    0.617 0.03  0.037 0.035 0.093 0.006 0.004 0.177]
 [0.001 0.001 0.08  0.53  0.021 0.092 0.094 0.016 0.006 0.159]
 [0.    0.    0.102 0.021 0.649 0.018 0.077 0.039 0.003 0.091]
 [0.    0.    0.069 0.202 0.026 0.583 0.03  0.03  0.001 0.059]
 [0.    0.    0.076 0.05  0.006 0.008 0.844 0.    0.    0.016]
 [0.001 0.    0.061 0.046 0.046 0.03  0.01  0.683 0.005 0.118]
 [0.004 0.003 0.005 0.003 0.    0.    0.003 0.    0.568 0.414]
 [0.    0.38  0.001 0.006 0.001 0.    0.    0.    0.005 0.607]]
[2025-04-19 09:42:37,030 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 09:42:37,031 INFO] 16384 iteration, USE_EMA: True, train/sup_loss: 0.5468, train/aux_loss: 1.4533, train/total_loss: 2.0001, train/util_ratio: 0.0000, train/run_time: 0.1027, eval/loss: 1.2480, eval/top-1-acc: 0.5997, eval/top-5-acc: 0.9059, eval/balanced_acc: 0.5997, eval/precision: 0.6711, eval/recall: 0.5997, eval/F1: 0.5941, lr: 0.0299, train/prefecth_time: 0.0047 BEST_EVAL_ACC: 0.6012, at 12288 iters
[2025-04-19 09:43:37,645 INFO] 16640 iteration USE_EMA: True, train/sup_loss: 0.5471, train/aux_loss: 1.3682, train/total_loss: 1.9154, train/util_ratio: 0.0000, train/run_time: 0.1009, lr: 0.0299, train/prefecth_time: 0.0050 
[2025-04-19 09:44:37,645 INFO] 16896 iteration USE_EMA: True, train/sup_loss: 0.5461, train/aux_loss: 1.3896, train/total_loss: 1.9357, train/util_ratio: 0.0000, train/run_time: 0.1035, lr: 0.0299, train/prefecth_time: 0.0057 
[2025-04-19 09:45:36,900 INFO] 17152 iteration USE_EMA: True, train/sup_loss: 0.5462, train/aux_loss: 1.4320, train/total_loss: 1.9782, train/util_ratio: 0.0000, train/run_time: 0.1025, lr: 0.0299, train/prefecth_time: 0.0071 
[2025-04-19 09:46:36,243 INFO] validating...
[2025-04-19 09:46:39,704 INFO] confusion matrix:
[[0.015 0.003 0.009 0.001 0.001 0.001 0.005 0.004 0.034 0.927]
 [0.003 0.9   0.    0.001 0.    0.001 0.004 0.002 0.008 0.081]
 [0.003 0.    0.59  0.039 0.032 0.032 0.097 0.004 0.004 0.199]
 [0.002 0.001 0.08  0.525 0.019 0.096 0.102 0.017 0.007 0.151]
 [0.001 0.    0.099 0.022 0.644 0.017 0.077 0.031 0.002 0.107]
 [0.001 0.    0.064 0.185 0.026 0.602 0.032 0.029 0.001 0.06 ]
 [0.001 0.    0.07  0.051 0.005 0.008 0.847 0.    0.    0.018]
 [0.    0.    0.057 0.038 0.036 0.029 0.013 0.69  0.005 0.132]
 [0.013 0.001 0.005 0.002 0.    0.    0.003 0.    0.571 0.405]
 [0.001 0.344 0.001 0.007 0.    0.    0.    0.    0.004 0.643]]
[2025-04-19 09:46:40,425 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 09:46:41,016 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 09:46:41,119 INFO] 17408 iteration, USE_EMA: True, train/sup_loss: 0.5482, train/aux_loss: 1.4937, train/total_loss: 2.0419, train/util_ratio: 0.0000, train/run_time: 0.1013, eval/loss: 1.2403, eval/top-1-acc: 0.6027, eval/top-5-acc: 0.9046, eval/balanced_acc: 0.6027, eval/precision: 0.6653, eval/recall: 0.6027, eval/F1: 0.5990, lr: 0.0299, train/prefecth_time: 0.0036 BEST_EVAL_ACC: 0.6027, at 17408 iters
[2025-04-19 09:47:42,294 INFO] 17664 iteration USE_EMA: True, train/sup_loss: 0.5467, train/aux_loss: 1.4005, train/total_loss: 1.9472, train/util_ratio: 0.0000, train/run_time: 0.1008, lr: 0.0299, train/prefecth_time: 0.0066 
[2025-04-19 09:48:39,902 INFO] 17920 iteration USE_EMA: True, train/sup_loss: 0.5467, train/aux_loss: 1.5035, train/total_loss: 2.0502, train/util_ratio: 0.0000, train/run_time: 0.1679, lr: 0.0299, train/prefecth_time: 0.1698 
[2025-04-19 09:49:36,859 INFO] 18176 iteration USE_EMA: True, train/sup_loss: 0.5465, train/aux_loss: 1.4753, train/total_loss: 2.0218, train/util_ratio: 0.0000, train/run_time: 0.1025, lr: 0.0299, train/prefecth_time: 0.2476 
[2025-04-19 09:50:34,428 INFO] validating...
[2025-04-19 09:50:37,878 INFO] confusion matrix:
[[0.023 0.003 0.008 0.003 0.    0.001 0.005 0.005 0.04  0.912]
 [0.002 0.901 0.    0.    0.    0.001 0.005 0.001 0.008 0.082]
 [0.003 0.    0.59  0.034 0.037 0.033 0.097 0.006 0.005 0.195]
 [0.001 0.001 0.073 0.528 0.02  0.098 0.1   0.017 0.013 0.149]
 [0.    0.    0.088 0.02  0.653 0.015 0.079 0.035 0.003 0.107]
 [0.002 0.    0.059 0.18  0.025 0.6   0.036 0.03  0.001 0.067]
 [0.001 0.    0.066 0.049 0.004 0.006 0.856 0.    0.001 0.017]
 [0.    0.    0.057 0.037 0.04  0.036 0.012 0.675 0.007 0.136]
 [0.102 0.01  0.005 0.002 0.001 0.001 0.003 0.    0.713 0.163]
 [0.    0.299 0.001 0.007 0.    0.    0.002 0.    0.007 0.684]]
[2025-04-19 09:50:40,681 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 09:50:42,073 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 09:50:42,074 INFO] 18432 iteration, USE_EMA: True, train/sup_loss: 0.5485, train/aux_loss: 1.4859, train/total_loss: 2.0343, train/util_ratio: 0.0000, train/run_time: 0.1028, eval/loss: 1.2062, eval/top-1-acc: 0.6223, eval/top-5-acc: 0.9076, eval/balanced_acc: 0.6223, eval/precision: 0.6506, eval/recall: 0.6223, eval/F1: 0.6158, lr: 0.0299, train/prefecth_time: 0.1506 BEST_EVAL_ACC: 0.6223, at 18432 iters
[2025-04-19 09:51:43,265 INFO] 18688 iteration USE_EMA: True, train/sup_loss: 0.6101, train/aux_loss: 1.6734, train/total_loss: 2.2835, train/util_ratio: 0.0000, train/run_time: 0.1019, lr: 0.0299, train/prefecth_time: 0.0071 
[2025-04-19 09:52:43,617 INFO] 18944 iteration USE_EMA: True, train/sup_loss: 0.5464, train/aux_loss: 1.4666, train/total_loss: 2.0130, train/util_ratio: 0.0000, train/run_time: 0.1038, lr: 0.0299, train/prefecth_time: 0.2086 
[2025-04-19 09:53:42,696 INFO] 19200 iteration USE_EMA: True, train/sup_loss: 0.5464, train/aux_loss: 1.4182, train/total_loss: 1.9646, train/util_ratio: 0.0000, train/run_time: 0.1000, lr: 0.0298, train/prefecth_time: 0.0042 
[2025-04-19 09:54:40,950 INFO] validating...
[2025-04-19 09:54:43,386 INFO] confusion matrix:
[[0.009 0.003 0.009 0.001 0.    0.001 0.005 0.005 0.043 0.924]
 [0.    0.905 0.    0.    0.    0.001 0.006 0.    0.01  0.078]
 [0.003 0.    0.597 0.039 0.034 0.033 0.091 0.008 0.008 0.187]
 [0.001 0.001 0.062 0.546 0.019 0.103 0.083 0.016 0.011 0.158]
 [0.    0.    0.089 0.023 0.656 0.015 0.076 0.042 0.003 0.096]
 [0.001 0.    0.053 0.186 0.025 0.595 0.032 0.035 0.002 0.071]
 [0.001 0.    0.07  0.055 0.005 0.006 0.841 0.    0.001 0.021]
 [0.    0.    0.051 0.043 0.031 0.032 0.01  0.692 0.006 0.135]
 [0.01  0.006 0.005 0.004 0.001 0.    0.003 0.    0.688 0.283]
 [0.    0.327 0.001 0.006 0.    0.    0.001 0.    0.008 0.657]]
[2025-04-19 09:54:44,277 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 09:54:44,283 INFO] 19456 iteration, USE_EMA: True, train/sup_loss: 0.5462, train/aux_loss: 1.3695, train/total_loss: 1.9157, train/util_ratio: 0.0000, train/run_time: 0.1018, eval/loss: 1.2102, eval/top-1-acc: 0.6186, eval/top-5-acc: 0.9080, eval/balanced_acc: 0.6186, eval/precision: 0.6672, eval/recall: 0.6186, eval/F1: 0.6112, lr: 0.0298, train/prefecth_time: 0.0046 BEST_EVAL_ACC: 0.6223, at 18432 iters
[2025-04-19 09:55:43,888 INFO] 19712 iteration USE_EMA: True, train/sup_loss: 0.5468, train/aux_loss: 1.3630, train/total_loss: 1.9098, train/util_ratio: 0.0000, train/run_time: 0.1666, lr: 0.0298, train/prefecth_time: 0.2001 
[2025-04-19 09:56:41,296 INFO] 19968 iteration USE_EMA: True, train/sup_loss: 0.5586, train/aux_loss: 1.4071, train/total_loss: 1.9657, train/util_ratio: 0.0000, train/run_time: 0.1035, lr: 0.0298, train/prefecth_time: 0.1927 
[2025-04-19 09:57:39,000 INFO] 20224 iteration USE_EMA: True, train/sup_loss: 0.5501, train/aux_loss: 1.3997, train/total_loss: 1.9498, train/util_ratio: 0.0000, train/run_time: 0.1026, lr: 0.0298, train/prefecth_time: 0.0040 
[2025-04-19 09:58:37,072 INFO] validating...
[2025-04-19 09:58:39,437 INFO] confusion matrix:
[[0.013 0.003 0.012 0.    0.    0.001 0.005 0.004 0.047 0.915]
 [0.    0.901 0.    0.    0.    0.001 0.006 0.001 0.008 0.083]
 [0.    0.    0.601 0.027 0.032 0.031 0.09  0.006 0.007 0.206]
 [0.001 0.001 0.07  0.516 0.02  0.098 0.094 0.016 0.009 0.175]
 [0.001 0.    0.092 0.021 0.662 0.014 0.066 0.039 0.005 0.1  ]
 [0.    0.    0.062 0.188 0.023 0.584 0.027 0.03  0.003 0.083]
 [0.001 0.    0.08  0.057 0.005 0.005 0.831 0.    0.    0.021]
 [0.    0.    0.049 0.038 0.03  0.027 0.011 0.697 0.006 0.142]
 [0.003 0.001 0.006 0.004 0.001 0.    0.003 0.    0.644 0.338]
 [0.    0.31  0.001 0.005 0.    0.    0.001 0.001 0.008 0.674]]
[2025-04-19 09:58:42,498 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 09:58:42,500 INFO] 20480 iteration, USE_EMA: True, train/sup_loss: 0.5739, train/aux_loss: 1.6642, train/total_loss: 2.2382, train/util_ratio: 0.0000, train/run_time: 0.1004, eval/loss: 1.2275, eval/top-1-acc: 0.6123, eval/top-5-acc: 0.9055, eval/balanced_acc: 0.6123, eval/precision: 0.7000, eval/recall: 0.6123, eval/F1: 0.6072, lr: 0.0298, train/prefecth_time: 0.0041 BEST_EVAL_ACC: 0.6223, at 18432 iters
[2025-04-19 09:59:42,625 INFO] 20736 iteration USE_EMA: True, train/sup_loss: 0.5477, train/aux_loss: 1.4753, train/total_loss: 2.0230, train/util_ratio: 0.0000, train/run_time: 0.1362, lr: 0.0298, train/prefecth_time: 0.0043 
[2025-04-19 10:00:40,719 INFO] 20992 iteration USE_EMA: True, train/sup_loss: 0.5458, train/aux_loss: 1.3901, train/total_loss: 1.9359, train/util_ratio: 0.0000, train/run_time: 0.1029, lr: 0.0298, train/prefecth_time: 0.1948 
[2025-04-19 10:01:41,261 INFO] 21248 iteration USE_EMA: True, train/sup_loss: 0.5487, train/aux_loss: 1.3854, train/total_loss: 1.9341, train/util_ratio: 0.0000, train/run_time: 0.2255, lr: 0.0298, train/prefecth_time: 0.0064 
[2025-04-19 10:02:48,915 INFO] validating...
[2025-04-19 10:02:51,567 INFO] confusion matrix:
[[0.01  0.003 0.009 0.002 0.002 0.001 0.006 0.005 0.039 0.923]
 [0.    0.901 0.    0.    0.    0.001 0.006 0.    0.008 0.084]
 [0.003 0.    0.576 0.035 0.035 0.036 0.095 0.005 0.006 0.209]
 [0.001 0.001 0.057 0.548 0.019 0.095 0.086 0.017 0.009 0.167]
 [0.001 0.    0.08  0.024 0.673 0.016 0.061 0.043 0.005 0.097]
 [0.    0.    0.056 0.195 0.024 0.593 0.032 0.028 0.002 0.07 ]
 [0.001 0.    0.077 0.057 0.004 0.004 0.833 0.    0.    0.024]
 [0.001 0.    0.045 0.039 0.028 0.03  0.011 0.701 0.006 0.139]
 [0.003 0.003 0.004 0.005 0.001 0.    0.003 0.    0.614 0.367]
 [0.    0.246 0.001 0.008 0.    0.    0.002 0.001 0.007 0.735]]
[2025-04-19 10:02:52,095 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 10:02:52,096 INFO] 21504 iteration, USE_EMA: True, train/sup_loss: 0.5478, train/aux_loss: 1.4748, train/total_loss: 2.0226, train/util_ratio: 0.0000, train/run_time: 0.2595, eval/loss: 1.2100, eval/top-1-acc: 0.6184, eval/top-5-acc: 0.9102, eval/balanced_acc: 0.6184, eval/precision: 0.6891, eval/recall: 0.6184, eval/F1: 0.6124, lr: 0.0298, train/prefecth_time: 0.0055 BEST_EVAL_ACC: 0.6223, at 18432 iters
[2025-04-19 10:04:02,643 INFO] 21760 iteration USE_EMA: True, train/sup_loss: 0.5469, train/aux_loss: 1.4152, train/total_loss: 1.9621, train/util_ratio: 0.0000, train/run_time: 0.2257, lr: 0.0298, train/prefecth_time: 0.0085 
[2025-04-19 10:05:10,965 INFO] 22016 iteration USE_EMA: True, train/sup_loss: 0.5588, train/aux_loss: 1.5467, train/total_loss: 2.1054, train/util_ratio: 0.0000, train/run_time: 0.2363, lr: 0.0298, train/prefecth_time: 0.0065 
[2025-04-19 10:06:18,665 INFO] 22272 iteration USE_EMA: True, train/sup_loss: 0.5462, train/aux_loss: 1.3620, train/total_loss: 1.9082, train/util_ratio: 0.0000, train/run_time: 0.2371, lr: 0.0298, train/prefecth_time: 0.0078 
[2025-04-19 10:07:26,914 INFO] validating...
[2025-04-19 10:07:29,660 INFO] confusion matrix:
[[0.009 0.002 0.006 0.001 0.002 0.001 0.006 0.004 0.034 0.935]
 [0.    0.904 0.    0.    0.    0.001 0.006 0.    0.006 0.083]
 [0.004 0.    0.589 0.033 0.036 0.033 0.093 0.006 0.006 0.2  ]
 [0.002 0.001 0.063 0.562 0.019 0.09  0.081 0.018 0.008 0.156]
 [0.    0.    0.09  0.029 0.671 0.015 0.064 0.038 0.003 0.09 ]
 [0.    0.    0.07  0.198 0.021 0.587 0.029 0.033 0.002 0.06 ]
 [0.001 0.    0.072 0.061 0.004 0.005 0.835 0.    0.    0.022]
 [0.    0.    0.045 0.042 0.029 0.03  0.011 0.7   0.008 0.135]
 [0.003 0.005 0.005 0.005 0.001 0.    0.001 0.    0.587 0.393]
 [0.    0.218 0.    0.008 0.    0.    0.002 0.001 0.005 0.766]]
[2025-04-19 10:07:30,228 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 10:07:30,230 INFO] 22528 iteration, USE_EMA: True, train/sup_loss: 0.5461, train/aux_loss: 1.3439, train/total_loss: 1.8901, train/util_ratio: 0.0000, train/run_time: 0.3087, eval/loss: 1.2065, eval/top-1-acc: 0.6210, eval/top-5-acc: 0.9106, eval/balanced_acc: 0.6210, eval/precision: 0.6902, eval/recall: 0.6210, eval/F1: 0.6142, lr: 0.0298, train/prefecth_time: 0.0065 BEST_EVAL_ACC: 0.6223, at 18432 iters
[2025-04-19 10:08:38,913 INFO] 22784 iteration USE_EMA: True, train/sup_loss: 0.5459, train/aux_loss: 1.3542, train/total_loss: 1.9001, train/util_ratio: 0.0000, train/run_time: 0.2279, lr: 0.0298, train/prefecth_time: 0.0064 
[2025-04-19 10:09:47,993 INFO] 23040 iteration USE_EMA: True, train/sup_loss: 0.5484, train/aux_loss: 1.3736, train/total_loss: 1.9219, train/util_ratio: 0.0000, train/run_time: 0.3115, lr: 0.0298, train/prefecth_time: 0.0052 
[2025-04-19 10:10:55,230 INFO] 23296 iteration USE_EMA: True, train/sup_loss: 0.5573, train/aux_loss: 1.4287, train/total_loss: 1.9860, train/util_ratio: 0.0000, train/run_time: 0.2619, lr: 0.0298, train/prefecth_time: 0.0064 
[2025-04-19 10:12:02,611 INFO] validating...
[2025-04-19 10:12:05,026 INFO] confusion matrix:
[[0.008 0.001 0.01  0.001 0.    0.    0.006 0.003 0.035 0.936]
 [0.    0.904 0.    0.    0.    0.001 0.006 0.001 0.006 0.082]
 [0.001 0.    0.579 0.031 0.034 0.034 0.092 0.006 0.006 0.217]
 [0.001 0.001 0.063 0.547 0.02  0.098 0.08  0.016 0.007 0.167]
 [0.    0.    0.088 0.023 0.674 0.017 0.063 0.039 0.004 0.092]
 [0.    0.    0.062 0.182 0.02  0.598 0.028 0.034 0.006 0.07 ]
 [0.001 0.    0.07  0.059 0.003 0.005 0.842 0.    0.    0.02 ]
 [0.    0.    0.042 0.037 0.029 0.032 0.007 0.697 0.008 0.148]
 [0.002 0.003 0.005 0.003 0.001 0.    0.    0.    0.58  0.406]
 [0.    0.221 0.    0.007 0.    0.    0.001 0.    0.007 0.764]]
[2025-04-19 10:12:05,557 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 10:12:05,558 INFO] 23552 iteration, USE_EMA: True, train/sup_loss: 0.5458, train/aux_loss: 1.3990, train/total_loss: 1.9448, train/util_ratio: 0.0000, train/run_time: 0.2434, eval/loss: 1.2214, eval/top-1-acc: 0.6193, eval/top-5-acc: 0.9073, eval/balanced_acc: 0.6193, eval/precision: 0.7052, eval/recall: 0.6193, eval/F1: 0.6133, lr: 0.0298, train/prefecth_time: 0.0052 BEST_EVAL_ACC: 0.6223, at 18432 iters
[2025-04-19 10:13:29,113 INFO] 23808 iteration USE_EMA: True, train/sup_loss: 0.5473, train/aux_loss: 1.5414, train/total_loss: 2.0887, train/util_ratio: 0.0000, train/run_time: 0.2724, lr: 0.0298, train/prefecth_time: 0.0079 
[2025-04-19 10:14:52,532 INFO] 24064 iteration USE_EMA: True, train/sup_loss: 0.5472, train/aux_loss: 1.3525, train/total_loss: 1.8998, train/util_ratio: 0.0000, train/run_time: 0.2626, lr: 0.0298, train/prefecth_time: 0.0089 
[2025-04-19 10:16:15,760 INFO] 24320 iteration USE_EMA: True, train/sup_loss: 0.5472, train/aux_loss: 1.3195, train/total_loss: 1.8666, train/util_ratio: 0.0000, train/run_time: 0.2787, lr: 0.0298, train/prefecth_time: 0.0066 
[2025-04-19 10:17:39,420 INFO] validating...
[2025-04-19 10:17:42,197 INFO] confusion matrix:
[[0.01  0.003 0.011 0.001 0.    0.001 0.005 0.004 0.034 0.931]
 [0.    0.901 0.    0.    0.    0.001 0.005 0.001 0.006 0.086]
 [0.003 0.    0.599 0.037 0.031 0.035 0.082 0.006 0.008 0.199]
 [0.001 0.001 0.068 0.535 0.025 0.103 0.079 0.016 0.005 0.167]
 [0.001 0.    0.092 0.027 0.673 0.021 0.061 0.039 0.004 0.082]
 [0.    0.    0.062 0.174 0.021 0.604 0.027 0.035 0.004 0.073]
 [0.001 0.    0.074 0.057 0.003 0.004 0.84  0.    0.    0.021]
 [0.    0.    0.044 0.036 0.029 0.028 0.008 0.701 0.006 0.148]
 [0.005 0.003 0.005 0.002 0.001 0.    0.    0.    0.589 0.395]
 [0.    0.228 0.    0.006 0.    0.    0.002 0.    0.006 0.758]]
[2025-04-19 10:17:42,718 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 10:17:42,719 INFO] 24576 iteration, USE_EMA: True, train/sup_loss: 0.5469, train/aux_loss: 1.3569, train/total_loss: 1.9037, train/util_ratio: 0.0000, train/run_time: 0.3200, eval/loss: 1.2176, eval/top-1-acc: 0.6210, eval/top-5-acc: 0.9079, eval/balanced_acc: 0.6210, eval/precision: 0.6912, eval/recall: 0.6210, eval/F1: 0.6150, lr: 0.0298, train/prefecth_time: 0.0045 BEST_EVAL_ACC: 0.6223, at 18432 iters
[2025-04-19 10:19:07,946 INFO] 24832 iteration USE_EMA: True, train/sup_loss: 0.5484, train/aux_loss: 1.5057, train/total_loss: 2.0541, train/util_ratio: 0.0000, train/run_time: 0.3169, lr: 0.0297, train/prefecth_time: 0.0091 
[2025-04-19 10:20:31,518 INFO] 25088 iteration USE_EMA: True, train/sup_loss: 0.5466, train/aux_loss: 1.4153, train/total_loss: 1.9620, train/util_ratio: 0.0000, train/run_time: 0.3288, lr: 0.0297, train/prefecth_time: 0.0089 
[2025-04-19 10:21:54,305 INFO] 25344 iteration USE_EMA: True, train/sup_loss: 0.5472, train/aux_loss: 1.3924, train/total_loss: 1.9396, train/util_ratio: 0.0000, train/run_time: 0.3188, lr: 0.0297, train/prefecth_time: 0.0081 
[2025-04-19 10:23:17,199 INFO] validating...
[2025-04-19 10:23:19,637 INFO] confusion matrix:
[[0.011 0.002 0.014 0.001 0.    0.001 0.005 0.003 0.035 0.928]
 [0.001 0.905 0.    0.001 0.    0.001 0.004 0.001 0.004 0.083]
 [0.002 0.    0.602 0.034 0.033 0.032 0.082 0.006 0.006 0.203]
 [0.001 0.001 0.072 0.551 0.02  0.101 0.079 0.016 0.006 0.153]
 [0.    0.    0.089 0.028 0.679 0.019 0.058 0.037 0.004 0.086]
 [0.    0.    0.072 0.179 0.019 0.604 0.028 0.036 0.004 0.058]
 [0.001 0.    0.082 0.06  0.004 0.005 0.827 0.    0.001 0.02 ]
 [0.    0.    0.045 0.039 0.03  0.028 0.007 0.699 0.007 0.145]
 [0.001 0.003 0.006 0.002 0.001 0.    0.    0.    0.609 0.378]
 [0.    0.244 0.    0.005 0.    0.    0.001 0.    0.007 0.743]]
[2025-04-19 10:23:20,098 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 10:23:20,557 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 10:23:20,558 INFO] 25600 iteration, USE_EMA: True, train/sup_loss: 0.5460, train/aux_loss: 1.3738, train/total_loss: 1.9198, train/util_ratio: 0.0000, train/run_time: 0.2984, eval/loss: 1.2131, eval/top-1-acc: 0.6230, eval/top-5-acc: 0.9087, eval/balanced_acc: 0.6230, eval/precision: 0.7075, eval/recall: 0.6230, eval/F1: 0.6167, lr: 0.0297, train/prefecth_time: 0.0055 BEST_EVAL_ACC: 0.6230, at 25600 iters
[2025-04-19 10:24:45,212 INFO] 25856 iteration USE_EMA: True, train/sup_loss: 0.5468, train/aux_loss: 1.3462, train/total_loss: 1.8931, train/util_ratio: 0.0000, train/run_time: 0.2610, lr: 0.0297, train/prefecth_time: 0.0058 
[2025-04-19 10:26:08,615 INFO] 26112 iteration USE_EMA: True, train/sup_loss: 0.5715, train/aux_loss: 1.6494, train/total_loss: 2.2209, train/util_ratio: 0.0000, train/run_time: 0.3265, lr: 0.0297, train/prefecth_time: 0.0046 
[2025-04-19 10:27:32,403 INFO] 26368 iteration USE_EMA: True, train/sup_loss: 0.5461, train/aux_loss: 1.3966, train/total_loss: 1.9427, train/util_ratio: 0.0000, train/run_time: 0.2850, lr: 0.0297, train/prefecth_time: 0.0045 
[2025-04-19 10:28:55,984 INFO] validating...
[2025-04-19 10:28:58,508 INFO] confusion matrix:
[[0.006 0.002 0.01  0.001 0.    0.001 0.004 0.003 0.032 0.941]
 [0.    0.902 0.    0.001 0.    0.001 0.003 0.001 0.002 0.09 ]
 [0.    0.    0.614 0.035 0.036 0.034 0.074 0.007 0.006 0.194]
 [0.    0.001 0.068 0.563 0.02  0.1   0.074 0.016 0.008 0.15 ]
 [0.    0.    0.097 0.025 0.688 0.022 0.058 0.034 0.002 0.074]
 [0.    0.    0.059 0.192 0.022 0.604 0.028 0.032 0.002 0.061]
 [0.001 0.    0.08  0.067 0.003 0.004 0.826 0.    0.001 0.018]
 [0.001 0.    0.047 0.043 0.033 0.034 0.009 0.688 0.006 0.139]
 [0.003 0.004 0.006 0.002 0.001 0.    0.    0.    0.595 0.389]
 [0.    0.222 0.    0.005 0.    0.    0.002 0.    0.004 0.767]]
[2025-04-19 10:28:58,906 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 10:28:59,383 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 10:28:59,384 INFO] 26624 iteration, USE_EMA: True, train/sup_loss: 0.5461, train/aux_loss: 1.3567, train/total_loss: 1.9028, train/util_ratio: 0.0000, train/run_time: 0.2476, eval/loss: 1.2028, eval/top-1-acc: 0.6253, eval/top-5-acc: 0.9106, eval/balanced_acc: 0.6253, eval/precision: 0.7007, eval/recall: 0.6253, eval/F1: 0.6181, lr: 0.0297, train/prefecth_time: 0.0089 BEST_EVAL_ACC: 0.6253, at 26624 iters
[2025-04-19 10:30:24,540 INFO] 26880 iteration USE_EMA: True, train/sup_loss: 0.5468, train/aux_loss: 1.3750, train/total_loss: 1.9218, train/util_ratio: 0.0000, train/run_time: 0.2713, lr: 0.0297, train/prefecth_time: 0.0068 
[2025-04-19 10:31:48,156 INFO] 27136 iteration USE_EMA: True, train/sup_loss: 0.5958, train/aux_loss: 1.5802, train/total_loss: 2.1760, train/util_ratio: 0.0000, train/run_time: 0.2993, lr: 0.0297, train/prefecth_time: 0.0091 
[2025-04-19 10:33:11,489 INFO] 27392 iteration USE_EMA: True, train/sup_loss: 0.5470, train/aux_loss: 1.3393, train/total_loss: 1.8863, train/util_ratio: 0.0000, train/run_time: 0.3512, lr: 0.0297, train/prefecth_time: 0.0045 
[2025-04-19 10:34:32,636 INFO] validating...
[2025-04-19 10:34:35,259 INFO] confusion matrix:
[[0.007 0.002 0.01  0.001 0.    0.001 0.005 0.004 0.038 0.932]
 [0.    0.906 0.    0.    0.    0.001 0.003 0.001 0.005 0.084]
 [0.001 0.    0.606 0.033 0.036 0.033 0.079 0.006 0.008 0.198]
 [0.    0.001 0.072 0.547 0.021 0.096 0.084 0.017 0.007 0.155]
 [0.    0.    0.095 0.025 0.679 0.019 0.061 0.036 0.006 0.079]
 [0.    0.    0.053 0.188 0.023 0.599 0.03  0.035 0.002 0.07 ]
 [0.001 0.    0.079 0.064 0.004 0.002 0.829 0.    0.002 0.019]
 [0.002 0.    0.044 0.037 0.03  0.029 0.009 0.694 0.006 0.149]
 [0.001 0.005 0.005 0.002 0.001 0.002 0.001 0.    0.605 0.378]
 [0.    0.186 0.    0.004 0.    0.    0.002 0.    0.007 0.801]]
[2025-04-19 10:34:35,751 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 10:34:36,154 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 10:34:36,155 INFO] 27648 iteration, USE_EMA: True, train/sup_loss: 0.5464, train/aux_loss: 1.4020, train/total_loss: 1.9484, train/util_ratio: 0.0000, train/run_time: 0.3254, eval/loss: 1.2028, eval/top-1-acc: 0.6273, eval/top-5-acc: 0.9086, eval/balanced_acc: 0.6273, eval/precision: 0.7052, eval/recall: 0.6273, eval/F1: 0.6193, lr: 0.0297, train/prefecth_time: 0.0046 BEST_EVAL_ACC: 0.6273, at 27648 iters
[2025-04-19 10:36:00,962 INFO] 27904 iteration USE_EMA: True, train/sup_loss: 0.5534, train/aux_loss: 1.6152, train/total_loss: 2.1686, train/util_ratio: 0.0000, train/run_time: 0.3099, lr: 0.0297, train/prefecth_time: 0.0045 
[2025-04-19 10:37:20,667 INFO] 28160 iteration USE_EMA: True, train/sup_loss: 0.5466, train/aux_loss: 1.3870, train/total_loss: 1.9336, train/util_ratio: 0.0000, train/run_time: 0.2595, lr: 0.0297, train/prefecth_time: 0.0089 
[2025-04-19 10:38:44,002 INFO] 28416 iteration USE_EMA: True, train/sup_loss: 0.5469, train/aux_loss: 1.3749, train/total_loss: 1.9217, train/util_ratio: 0.0000, train/run_time: 0.3408, lr: 0.0297, train/prefecth_time: 0.0069 
[2025-04-19 10:40:07,174 INFO] validating...
[2025-04-19 10:40:11,602 INFO] confusion matrix:
[[0.008 0.003 0.009 0.001 0.002 0.002 0.005 0.003 0.039 0.928]
 [0.    0.906 0.    0.    0.    0.001 0.003 0.001 0.006 0.083]
 [0.001 0.    0.6   0.037 0.034 0.031 0.078 0.008 0.006 0.205]
 [0.    0.001 0.067 0.554 0.021 0.083 0.083 0.015 0.007 0.169]
 [0.    0.    0.091 0.025 0.688 0.019 0.058 0.034 0.003 0.082]
 [0.    0.    0.062 0.185 0.027 0.594 0.031 0.032 0.003 0.066]
 [0.001 0.    0.079 0.063 0.005 0.004 0.828 0.    0.002 0.018]
 [0.    0.    0.043 0.034 0.032 0.025 0.007 0.694 0.005 0.16 ]
 [0.    0.006 0.006 0.004 0.001 0.    0.001 0.    0.603 0.379]
 [0.    0.207 0.    0.005 0.    0.    0.001 0.    0.004 0.783]]
[2025-04-19 10:40:11,916 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 10:40:11,917 INFO] 28672 iteration, USE_EMA: True, train/sup_loss: 0.5466, train/aux_loss: 1.3668, train/total_loss: 1.9135, train/util_ratio: 0.0000, train/run_time: 0.3458, eval/loss: 1.2010, eval/top-1-acc: 0.6258, eval/top-5-acc: 0.9096, eval/balanced_acc: 0.6258, eval/precision: 0.7276, eval/recall: 0.6258, eval/F1: 0.6189, lr: 0.0297, train/prefecth_time: 0.0069 BEST_EVAL_ACC: 0.6273, at 27648 iters
[2025-04-19 10:41:36,267 INFO] 28928 iteration USE_EMA: True, train/sup_loss: 0.5467, train/aux_loss: 1.3475, train/total_loss: 1.8942, train/util_ratio: 0.0000, train/run_time: 0.2556, lr: 0.0297, train/prefecth_time: 0.0072 
[2025-04-19 10:42:59,411 INFO] 29184 iteration USE_EMA: True, train/sup_loss: 0.5460, train/aux_loss: 1.3220, train/total_loss: 1.8680, train/util_ratio: 0.0000, train/run_time: 0.2420, lr: 0.0296, train/prefecth_time: 0.0045 
[2025-04-19 10:44:19,784 INFO] 29440 iteration USE_EMA: True, train/sup_loss: 0.5694, train/aux_loss: 1.6548, train/total_loss: 2.2242, train/util_ratio: 0.0000, train/run_time: 0.3058, lr: 0.0296, train/prefecth_time: 0.0044 
[2025-04-19 10:45:42,690 INFO] validating...
[2025-04-19 10:45:45,232 INFO] confusion matrix:
[[0.01  0.004 0.017 0.001 0.    0.002 0.005 0.004 0.043 0.914]
 [0.001 0.91  0.    0.    0.    0.001 0.004 0.001 0.004 0.079]
 [0.001 0.    0.61  0.031 0.037 0.033 0.076 0.003 0.008 0.201]
 [0.    0.001 0.074 0.556 0.019 0.083 0.079 0.016 0.009 0.163]
 [0.002 0.    0.081 0.026 0.698 0.015 0.057 0.04  0.004 0.077]
 [0.    0.    0.058 0.191 0.022 0.594 0.032 0.036 0.003 0.064]
 [0.001 0.    0.076 0.062 0.005 0.003 0.83  0.    0.002 0.021]
 [0.    0.    0.049 0.04  0.03  0.027 0.009 0.701 0.005 0.139]
 [0.    0.006 0.005 0.003 0.001 0.    0.    0.    0.6   0.385]
 [0.    0.204 0.    0.004 0.    0.    0.001 0.    0.006 0.785]]
[2025-04-19 10:45:45,707 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 10:45:46,075 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 10:45:46,076 INFO] 29696 iteration, USE_EMA: True, train/sup_loss: 0.5508, train/aux_loss: 1.3334, train/total_loss: 1.8842, train/util_ratio: 0.0000, train/run_time: 0.3026, eval/loss: 1.1941, eval/top-1-acc: 0.6294, eval/top-5-acc: 0.9107, eval/balanced_acc: 0.6294, eval/precision: 0.7145, eval/recall: 0.6294, eval/F1: 0.6217, lr: 0.0296, train/prefecth_time: 0.0033 BEST_EVAL_ACC: 0.6294, at 29696 iters
[2025-04-19 10:47:10,367 INFO] 29952 iteration USE_EMA: True, train/sup_loss: 0.5471, train/aux_loss: 1.3438, train/total_loss: 1.8909, train/util_ratio: 0.0000, train/run_time: 0.2701, lr: 0.0296, train/prefecth_time: 0.0060 
[2025-04-19 10:48:34,063 INFO] 30208 iteration USE_EMA: True, train/sup_loss: 0.5466, train/aux_loss: 1.4007, train/total_loss: 1.9474, train/util_ratio: 0.0000, train/run_time: 0.3082, lr: 0.0296, train/prefecth_time: 0.0091 
[2025-04-19 10:49:57,503 INFO] 30464 iteration USE_EMA: True, train/sup_loss: 0.5461, train/aux_loss: 1.3993, train/total_loss: 1.9454, train/util_ratio: 0.0000, train/run_time: 0.3374, lr: 0.0296, train/prefecth_time: 0.0070 
[2025-04-19 10:51:20,510 INFO] validating...
[2025-04-19 10:51:23,163 INFO] confusion matrix:
[[0.007 0.002 0.018 0.001 0.002 0.002 0.006 0.004 0.042 0.916]
 [0.    0.902 0.    0.    0.    0.001 0.005 0.001 0.008 0.083]
 [0.001 0.    0.603 0.029 0.039 0.033 0.071 0.007 0.008 0.209]
 [0.001 0.001 0.071 0.548 0.024 0.088 0.079 0.015 0.009 0.164]
 [0.    0.    0.077 0.029 0.703 0.015 0.051 0.039 0.004 0.082]
 [0.    0.    0.056 0.184 0.025 0.601 0.027 0.032 0.002 0.073]
 [0.001 0.    0.08  0.061 0.007 0.004 0.827 0.    0.002 0.018]
 [0.    0.    0.045 0.04  0.031 0.025 0.007 0.696 0.004 0.152]
 [0.    0.005 0.004 0.003 0.001 0.    0.001 0.    0.594 0.392]
 [0.    0.208 0.    0.003 0.    0.    0.002 0.    0.006 0.781]]
[2025-04-19 10:51:23,549 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 10:51:23,549 INFO] 30720 iteration, USE_EMA: True, train/sup_loss: 0.5462, train/aux_loss: 1.3274, train/total_loss: 1.8737, train/util_ratio: 0.0000, train/run_time: 0.3462, eval/loss: 1.2067, eval/top-1-acc: 0.6262, eval/top-5-acc: 0.9086, eval/balanced_acc: 0.6262, eval/precision: 0.7168, eval/recall: 0.6262, eval/F1: 0.6191, lr: 0.0296, train/prefecth_time: 0.0070 BEST_EVAL_ACC: 0.6294, at 29696 iters
[2025-04-19 11:07:00,285 INFO] 30976 iteration USE_EMA: True, train/sup_loss: 0.5567, train/aux_loss: 0.6119, train/total_loss: 1.1686, train/util_ratio: 0.0781, train/run_time: 3.8299, lr: 0.0296, train/prefecth_time: 0.0046 
[2025-04-19 11:12:18,327 INFO] 31232 iteration USE_EMA: True, train/sup_loss: 0.5503, train/aux_loss: 0.4747, train/total_loss: 1.0250, train/util_ratio: 0.0290, train/run_time: 0.4827, lr: 0.0296, train/prefecth_time: 0.0065 
[2025-04-19 11:14:16,965 INFO] 31488 iteration USE_EMA: True, train/sup_loss: 0.5663, train/aux_loss: 0.4636, train/total_loss: 1.0299, train/util_ratio: 0.0402, train/run_time: 0.5105, lr: 0.0296, train/prefecth_time: 0.0065 
[2025-04-19 11:16:16,278 INFO] validating...
[2025-04-19 11:16:18,969 INFO] confusion matrix:
[[0.021 0.001 0.014 0.001 0.003 0.002 0.011 0.007 0.044 0.896]
 [0.    0.896 0.    0.    0.    0.001 0.008 0.001 0.007 0.087]
 [0.004 0.    0.607 0.032 0.05  0.024 0.084 0.008 0.004 0.187]
 [0.003 0.001 0.06  0.561 0.028 0.073 0.096 0.018 0.01  0.15 ]
 [0.    0.    0.078 0.031 0.723 0.009 0.056 0.036 0.003 0.064]
 [0.001 0.    0.067 0.203 0.024 0.547 0.041 0.037 0.002 0.078]
 [0.    0.    0.072 0.063 0.008 0.002 0.836 0.    0.002 0.017]
 [0.    0.    0.047 0.047 0.036 0.02  0.008 0.705 0.005 0.132]
 [0.005 0.009 0.005 0.003 0.001 0.    0.001 0.    0.608 0.368]
 [0.    0.255 0.    0.004 0.001 0.    0.003 0.    0.006 0.731]]
[2025-04-19 11:16:19,314 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 11:16:19,315 INFO] 31744 iteration, USE_EMA: True, train/sup_loss: 0.5486, train/aux_loss: 0.4191, train/total_loss: 0.9677, train/util_ratio: 0.0424, train/run_time: 0.5519, eval/loss: 1.1740, eval/top-1-acc: 0.6235, eval/top-5-acc: 0.9201, eval/balanced_acc: 0.6235, eval/precision: 0.7004, eval/recall: 0.6235, eval/F1: 0.6164, lr: 0.0296, train/prefecth_time: 0.0045 BEST_EVAL_ACC: 0.6294, at 29696 iters
[2025-04-19 11:18:08,925 INFO] 32000 iteration USE_EMA: True, train/sup_loss: 0.5478, train/aux_loss: 0.4115, train/total_loss: 0.9593, train/util_ratio: 0.0290, train/run_time: 0.2832, lr: 0.0296, train/prefecth_time: 0.0057 
[2025-04-19 11:19:48,958 INFO] 32256 iteration USE_EMA: True, train/sup_loss: 0.5494, train/aux_loss: 0.4904, train/total_loss: 1.0398, train/util_ratio: 0.0379, train/run_time: 0.3653, lr: 0.0296, train/prefecth_time: 0.0083 
[2025-04-19 11:21:34,410 INFO] 32512 iteration USE_EMA: True, train/sup_loss: 0.5492, train/aux_loss: 0.3941, train/total_loss: 0.9433, train/util_ratio: 0.0268, train/run_time: 0.3717, lr: 0.0296, train/prefecth_time: 0.0119 
[2025-04-19 11:23:16,657 INFO] validating...
[2025-04-19 11:23:19,693 INFO] confusion matrix:
[[0.021 0.003 0.011 0.    0.002 0.002 0.008 0.005 0.041 0.907]
 [0.001 0.889 0.    0.    0.    0.001 0.005 0.001 0.005 0.098]
 [0.004 0.    0.605 0.03  0.043 0.026 0.063 0.01  0.007 0.212]
 [0.003 0.001 0.054 0.54  0.024 0.077 0.087 0.02  0.009 0.185]
 [0.003 0.    0.079 0.023 0.712 0.014 0.052 0.035 0.001 0.081]
 [0.002 0.    0.06  0.184 0.022 0.566 0.034 0.043 0.002 0.087]
 [0.    0.    0.074 0.07  0.011 0.003 0.821 0.    0.002 0.019]
 [0.003 0.    0.047 0.039 0.035 0.021 0.007 0.713 0.007 0.128]
 [0.007 0.007 0.004 0.003 0.001 0.001 0.    0.    0.59  0.387]
 [0.    0.248 0.    0.002 0.    0.    0.002 0.    0.007 0.741]]
[2025-04-19 11:23:20,286 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 11:23:20,287 INFO] 32768 iteration, USE_EMA: True, train/sup_loss: 0.5481, train/aux_loss: 0.4417, train/total_loss: 0.9898, train/util_ratio: 0.0156, train/run_time: 0.3168, eval/loss: 1.1982, eval/top-1-acc: 0.6198, eval/top-5-acc: 0.9156, eval/balanced_acc: 0.6198, eval/precision: 0.6902, eval/recall: 0.6198, eval/F1: 0.6158, lr: 0.0296, train/prefecth_time: 0.0070 BEST_EVAL_ACC: 0.6294, at 29696 iters
[2025-04-19 11:25:01,471 INFO] 33024 iteration USE_EMA: True, train/sup_loss: 0.5499, train/aux_loss: 0.3971, train/total_loss: 0.9470, train/util_ratio: 0.0513, train/run_time: 0.3528, lr: 0.0296, train/prefecth_time: 0.0066 
[2025-04-19 11:26:25,495 INFO] 33280 iteration USE_EMA: True, train/sup_loss: 0.5566, train/aux_loss: 0.4939, train/total_loss: 1.0506, train/util_ratio: 0.0290, train/run_time: 0.2951, lr: 0.0295, train/prefecth_time: 0.0057 
[2025-04-19 11:27:55,875 INFO] 33536 iteration USE_EMA: True, train/sup_loss: 0.5518, train/aux_loss: 0.5356, train/total_loss: 1.0874, train/util_ratio: 0.0179, train/run_time: 0.4250, lr: 0.0295, train/prefecth_time: 0.0068 
[2025-04-19 11:29:41,101 INFO] validating...
[2025-04-19 11:29:43,959 INFO] confusion matrix:
[[0.03  0.003 0.007 0.001 0.002 0.001 0.006 0.007 0.036 0.907]
 [0.001 0.896 0.    0.    0.    0.001 0.001 0.001 0.006 0.094]
 [0.007 0.    0.583 0.036 0.04  0.031 0.063 0.012 0.005 0.223]
 [0.005 0.001 0.051 0.531 0.026 0.078 0.079 0.02  0.004 0.205]
 [0.002 0.    0.068 0.021 0.712 0.014 0.042 0.037 0.002 0.102]
 [0.001 0.    0.05  0.186 0.022 0.576 0.031 0.044 0.    0.09 ]
 [0.    0.    0.067 0.081 0.01  0.004 0.812 0.    0.002 0.024]
 [0.004 0.    0.044 0.035 0.031 0.02  0.007 0.721 0.008 0.13 ]
 [0.008 0.008 0.003 0.002 0.001 0.002 0.    0.    0.578 0.398]
 [0.001 0.272 0.    0.002 0.    0.    0.    0.001 0.006 0.718]]
[2025-04-19 11:29:44,394 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 11:29:44,395 INFO] 33792 iteration, USE_EMA: True, train/sup_loss: 0.5481, train/aux_loss: 0.4532, train/total_loss: 1.0013, train/util_ratio: 0.0268, train/run_time: 0.5439, eval/loss: 1.2074, eval/top-1-acc: 0.6157, eval/top-5-acc: 0.9175, eval/balanced_acc: 0.6157, eval/precision: 0.6942, eval/recall: 0.6157, eval/F1: 0.6150, lr: 0.0295, train/prefecth_time: 0.0057 BEST_EVAL_ACC: 0.6294, at 29696 iters
[2025-04-19 11:31:33,529 INFO] 34048 iteration USE_EMA: True, train/sup_loss: 0.5540, train/aux_loss: 0.3242, train/total_loss: 0.8782, train/util_ratio: 0.0246, train/run_time: 0.2971, lr: 0.0295, train/prefecth_time: 0.0068 
[2025-04-19 11:33:13,896 INFO] 34304 iteration USE_EMA: True, train/sup_loss: 0.5474, train/aux_loss: 0.4337, train/total_loss: 0.9811, train/util_ratio: 0.0246, train/run_time: 0.2819, lr: 0.0295, train/prefecth_time: 0.0064 
[2025-04-19 11:34:51,311 INFO] 34560 iteration USE_EMA: True, train/sup_loss: 0.5501, train/aux_loss: 0.3715, train/total_loss: 0.9216, train/util_ratio: 0.0312, train/run_time: 0.3066, lr: 0.0295, train/prefecth_time: 0.0069 
[2025-04-19 11:36:11,762 INFO] validating...
[2025-04-19 11:36:14,395 INFO] confusion matrix:
[[0.026 0.003 0.009 0.001 0.001 0.001 0.003 0.006 0.037 0.913]
 [0.001 0.893 0.    0.    0.    0.001 0.002 0.001 0.005 0.097]
 [0.008 0.    0.562 0.032 0.041 0.028 0.057 0.011 0.003 0.258]
 [0.004 0.001 0.052 0.525 0.026 0.077 0.067 0.02  0.006 0.222]
 [0.001 0.    0.062 0.021 0.717 0.01  0.032 0.037 0.001 0.119]
 [0.001 0.    0.049 0.19  0.022 0.574 0.028 0.04  0.    0.096]
 [0.    0.    0.069 0.081 0.009 0.005 0.795 0.    0.002 0.039]
 [0.002 0.    0.041 0.037 0.031 0.02  0.004 0.727 0.006 0.132]
 [0.008 0.009 0.005 0.002 0.001 0.001 0.    0.    0.543 0.431]
 [0.001 0.297 0.    0.002 0.    0.    0.    0.    0.006 0.694]]
[2025-04-19 11:36:14,921 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 11:36:14,922 INFO] 34816 iteration, USE_EMA: True, train/sup_loss: 0.5511, train/aux_loss: 0.5134, train/total_loss: 1.0645, train/util_ratio: 0.0357, train/run_time: 0.2956, eval/loss: 1.2281, eval/top-1-acc: 0.6056, eval/top-5-acc: 0.9158, eval/balanced_acc: 0.6056, eval/precision: 0.6931, eval/recall: 0.6056, eval/F1: 0.6079, lr: 0.0295, train/prefecth_time: 0.0048 BEST_EVAL_ACC: 0.6294, at 29696 iters
[2025-04-19 11:37:40,015 INFO] 35072 iteration USE_EMA: True, train/sup_loss: 0.5475, train/aux_loss: 0.3710, train/total_loss: 0.9186, train/util_ratio: 0.0179, train/run_time: 0.3160, lr: 0.0295, train/prefecth_time: 0.0079 
[2025-04-19 11:39:05,951 INFO] 35328 iteration USE_EMA: True, train/sup_loss: 0.5488, train/aux_loss: 0.3811, train/total_loss: 0.9299, train/util_ratio: 0.0134, train/run_time: 0.2922, lr: 0.0295, train/prefecth_time: 0.0070 
[2025-04-19 11:40:32,297 INFO] 35584 iteration USE_EMA: True, train/sup_loss: 0.5491, train/aux_loss: 0.4166, train/total_loss: 0.9657, train/util_ratio: 0.0201, train/run_time: 0.2816, lr: 0.0295, train/prefecth_time: 0.0063 
[2025-04-19 11:41:59,032 INFO] validating...
[2025-04-19 11:42:01,545 INFO] confusion matrix:
[[0.031 0.003 0.006 0.001 0.001 0.    0.004 0.003 0.033 0.918]
 [0.002 0.892 0.    0.    0.    0.001 0.    0.001 0.005 0.099]
 [0.009 0.    0.549 0.032 0.041 0.023 0.054 0.012 0.003 0.277]
 [0.004 0.001 0.045 0.54  0.026 0.078 0.061 0.021 0.006 0.218]
 [0.002 0.    0.053 0.025 0.704 0.014 0.031 0.043 0.003 0.125]
 [0.001 0.    0.05  0.191 0.021 0.568 0.026 0.044 0.001 0.098]
 [0.    0.    0.065 0.08  0.01  0.004 0.796 0.    0.001 0.044]
 [0.001 0.    0.042 0.041 0.031 0.017 0.005 0.721 0.007 0.135]
 [0.005 0.013 0.003 0.004 0.001 0.001 0.    0.    0.535 0.438]
 [0.    0.286 0.    0.002 0.    0.    0.    0.    0.005 0.707]]
[2025-04-19 11:42:02,023 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 11:42:02,024 INFO] 35840 iteration, USE_EMA: True, train/sup_loss: 0.5488, train/aux_loss: 0.4040, train/total_loss: 0.9528, train/util_ratio: 0.0223, train/run_time: 0.3079, eval/loss: 1.2367, eval/top-1-acc: 0.6043, eval/top-5-acc: 0.9158, eval/balanced_acc: 0.6043, eval/precision: 0.7015, eval/recall: 0.6043, eval/F1: 0.6078, lr: 0.0295, train/prefecth_time: 0.0069 BEST_EVAL_ACC: 0.6294, at 29696 iters
[2025-04-19 11:42:08,500 INFO] select_ulb_dist:
[  0.   0.   0.   0.   0.  26. 859. 328. 250. 104.]
[2025-04-19 11:42:08,501 INFO] lb_select_ulb_dist:
[400. 239. 143.  86.  51.  56. 877. 339. 256. 108.]
[2025-04-19 11:42:08,504 INFO] 35: Update the labeled data.
[2025-04-19 11:44:22,920 INFO] 36096 iteration USE_EMA: True, train/sup_loss: 0.3223, train/aux_loss: 0.5403, train/total_loss: 0.8625, train/util_ratio: 0.3348, train/run_time: 0.3627, lr: 0.0295, train/prefecth_time: 0.0106 
[2025-04-19 11:46:29,570 INFO] 36352 iteration USE_EMA: True, train/sup_loss: 0.3110, train/aux_loss: 0.4761, train/total_loss: 0.7870, train/util_ratio: 0.3772, train/run_time: 0.4070, lr: 0.0295, train/prefecth_time: 0.0066 
[2025-04-19 11:48:51,534 INFO] 36608 iteration USE_EMA: True, train/sup_loss: 0.2287, train/aux_loss: 0.3905, train/total_loss: 0.6192, train/util_ratio: 0.3549, train/run_time: 0.5199, lr: 0.0294, train/prefecth_time: 0.0135 
[2025-04-19 11:51:20,177 INFO] validating...
[2025-04-19 11:51:22,833 INFO] confusion matrix:
[[0.9   0.014 0.034 0.005 0.013 0.004 0.002 0.001 0.015 0.012]
 [0.007 0.972 0.001 0.002 0.001 0.001 0.    0.    0.    0.016]
 [0.094 0.002 0.688 0.066 0.071 0.043 0.025 0.004 0.001 0.006]
 [0.03  0.004 0.093 0.662 0.046 0.104 0.034 0.008 0.002 0.017]
 [0.023 0.002 0.083 0.04  0.798 0.02  0.015 0.016 0.    0.003]
 [0.009 0.002 0.068 0.23  0.036 0.621 0.009 0.022 0.    0.003]
 [0.011 0.    0.1   0.115 0.02  0.008 0.745 0.    0.    0.001]
 [0.056 0.    0.075 0.085 0.05  0.046 0.003 0.679 0.003 0.003]
 [0.331 0.06  0.017 0.011 0.002 0.006 0.    0.    0.504 0.069]
 [0.073 0.35  0.005 0.012 0.001 0.    0.    0.    0.003 0.556]]
[2025-04-19 11:51:23,272 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 11:51:23,724 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 11:51:23,725 INFO] 36864 iteration, USE_EMA: True, train/sup_loss: 0.2710, train/aux_loss: 0.4067, train/total_loss: 0.6777, train/util_ratio: 0.3571, train/run_time: 0.5279, eval/loss: 0.9283, eval/top-1-acc: 0.7125, eval/top-5-acc: 0.9494, eval/balanced_acc: 0.7125, eval/precision: 0.7495, eval/recall: 0.7125, eval/F1: 0.7119, lr: 0.0294, train/prefecth_time: 0.0065 BEST_EVAL_ACC: 0.7125, at 36864 iters
[2025-04-19 11:53:52,270 INFO] 37120 iteration USE_EMA: True, train/sup_loss: 0.2925, train/aux_loss: 0.4328, train/total_loss: 0.7253, train/util_ratio: 0.3415, train/run_time: 0.7030, lr: 0.0294, train/prefecth_time: 0.0066 
[2025-04-19 11:56:20,342 INFO] 37376 iteration USE_EMA: True, train/sup_loss: 0.3114, train/aux_loss: 0.4009, train/total_loss: 0.7122, train/util_ratio: 0.3460, train/run_time: 0.8288, lr: 0.0294, train/prefecth_time: 0.0086 
[2025-04-19 11:58:55,071 INFO] 37632 iteration USE_EMA: True, train/sup_loss: 0.2301, train/aux_loss: 0.4037, train/total_loss: 0.6338, train/util_ratio: 0.3638, train/run_time: 0.5920, lr: 0.0294, train/prefecth_time: 0.0069 
[2025-04-19 12:01:28,944 INFO] validating...
[2025-04-19 12:01:31,676 INFO] confusion matrix:
[[0.907 0.015 0.036 0.006 0.013 0.003 0.    0.002 0.013 0.005]
 [0.008 0.975 0.002 0.002 0.    0.002 0.    0.    0.    0.011]
 [0.096 0.003 0.687 0.077 0.072 0.039 0.022 0.002 0.    0.002]
 [0.025 0.006 0.101 0.677 0.054 0.098 0.024 0.005 0.    0.01 ]
 [0.024 0.001 0.086 0.044 0.795 0.023 0.011 0.013 0.    0.003]
 [0.009 0.002 0.066 0.242 0.036 0.615 0.005 0.023 0.    0.002]
 [0.013 0.    0.109 0.119 0.023 0.007 0.728 0.    0.    0.001]
 [0.057 0.    0.079 0.089 0.047 0.044 0.001 0.678 0.002 0.003]
 [0.351 0.07  0.015 0.012 0.005 0.006 0.    0.    0.487 0.054]
 [0.087 0.331 0.004 0.015 0.003 0.    0.    0.    0.004 0.556]]
[2025-04-19 12:01:32,165 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 12:01:32,166 INFO] 37888 iteration, USE_EMA: True, train/sup_loss: 0.2756, train/aux_loss: 0.3753, train/total_loss: 0.6509, train/util_ratio: 0.3415, train/run_time: 0.4891, eval/loss: 0.9788, eval/top-1-acc: 0.7105, eval/top-5-acc: 0.9293, eval/balanced_acc: 0.7105, eval/precision: 0.7551, eval/recall: 0.7105, eval/F1: 0.7105, lr: 0.0294, train/prefecth_time: 0.0044 BEST_EVAL_ACC: 0.7125, at 36864 iters
[2025-04-19 12:04:04,794 INFO] 38144 iteration USE_EMA: True, train/sup_loss: 0.3264, train/aux_loss: 0.6009, train/total_loss: 0.9274, train/util_ratio: 0.3571, train/run_time: 0.7358, lr: 0.0294, train/prefecth_time: 0.0112 
[2025-04-19 12:06:34,033 INFO] 38400 iteration USE_EMA: True, train/sup_loss: 0.3144, train/aux_loss: 0.4220, train/total_loss: 0.7364, train/util_ratio: 0.3504, train/run_time: 0.4031, lr: 0.0294, train/prefecth_time: 0.0064 
[2025-04-19 12:08:59,119 INFO] 38656 iteration USE_EMA: True, train/sup_loss: 0.2275, train/aux_loss: 0.3743, train/total_loss: 0.6018, train/util_ratio: 0.3594, train/run_time: 0.2902, lr: 0.0294, train/prefecth_time: 0.0056 
[2025-04-19 12:11:28,980 INFO] validating...
[2025-04-19 12:11:31,368 INFO] confusion matrix:
[[0.908 0.011 0.034 0.008 0.016 0.004 0.001 0.001 0.013 0.004]
 [0.009 0.97  0.002 0.002 0.003 0.002 0.    0.    0.    0.012]
 [0.085 0.003 0.689 0.073 0.075 0.049 0.021 0.003 0.    0.002]
 [0.03  0.006 0.082 0.679 0.058 0.108 0.02  0.006 0.    0.011]
 [0.021 0.001 0.076 0.032 0.819 0.022 0.012 0.015 0.    0.002]
 [0.01  0.001 0.054 0.233 0.042 0.631 0.004 0.023 0.    0.002]
 [0.014 0.    0.099 0.114 0.028 0.006 0.737 0.    0.    0.002]
 [0.058 0.    0.078 0.086 0.046 0.045 0.001 0.681 0.001 0.004]
 [0.335 0.067 0.022 0.013 0.007 0.007 0.    0.    0.504 0.045]
 [0.096 0.327 0.004 0.012 0.003 0.    0.    0.    0.003 0.555]]
[2025-04-19 12:11:31,850 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 12:11:32,249 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 12:11:32,250 INFO] 38912 iteration, USE_EMA: True, train/sup_loss: 0.2712, train/aux_loss: 0.3832, train/total_loss: 0.6544, train/util_ratio: 0.3683, train/run_time: 0.6611, eval/loss: 0.9861, eval/top-1-acc: 0.7173, eval/top-5-acc: 0.9275, eval/balanced_acc: 0.7173, eval/precision: 0.7591, eval/recall: 0.7173, eval/F1: 0.7171, lr: 0.0294, train/prefecth_time: 0.0076 BEST_EVAL_ACC: 0.7173, at 38912 iters
[2025-04-19 12:14:10,823 INFO] 39168 iteration USE_EMA: True, train/sup_loss: 0.2886, train/aux_loss: 0.4752, train/total_loss: 0.7638, train/util_ratio: 0.3304, train/run_time: 0.2241, lr: 0.0294, train/prefecth_time: 0.0127 
[2025-04-19 12:16:53,967 INFO] 39424 iteration USE_EMA: True, train/sup_loss: 0.4861, train/aux_loss: 0.6636, train/total_loss: 1.1497, train/util_ratio: 0.3326, train/run_time: 0.7872, lr: 0.0294, train/prefecth_time: 0.0088 
[2025-04-19 12:19:27,572 INFO] 39680 iteration USE_EMA: True, train/sup_loss: 0.2271, train/aux_loss: 0.4019, train/total_loss: 0.6290, train/util_ratio: 0.3259, train/run_time: 0.2558, lr: 0.0294, train/prefecth_time: 0.0071 
[2025-04-19 12:22:19,020 INFO] validating...
[2025-04-19 12:22:21,470 INFO] confusion matrix:
[[0.897 0.018 0.034 0.01  0.019 0.005 0.    0.001 0.013 0.003]
 [0.01  0.972 0.002 0.002 0.001 0.002 0.    0.    0.    0.011]
 [0.088 0.004 0.68  0.075 0.079 0.049 0.021 0.001 0.    0.003]
 [0.028 0.006 0.081 0.684 0.055 0.109 0.023 0.006 0.    0.008]
 [0.017 0.001 0.072 0.036 0.827 0.017 0.013 0.015 0.    0.002]
 [0.008 0.001 0.053 0.234 0.044 0.632 0.006 0.02  0.    0.002]
 [0.016 0.    0.102 0.12  0.024 0.005 0.732 0.    0.    0.001]
 [0.056 0.002 0.073 0.087 0.061 0.041 0.001 0.674 0.002 0.003]
 [0.332 0.078 0.035 0.015 0.008 0.006 0.    0.    0.481 0.045]
 [0.096 0.319 0.003 0.013 0.003 0.    0.    0.    0.002 0.564]]
[2025-04-19 12:22:21,845 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 12:22:21,846 INFO] 39936 iteration, USE_EMA: True, train/sup_loss: 0.2729, train/aux_loss: 0.3688, train/total_loss: 0.6417, train/util_ratio: 0.3705, train/run_time: 0.3506, eval/loss: 1.0071, eval/top-1-acc: 0.7143, eval/top-5-acc: 0.9239, eval/balanced_acc: 0.7143, eval/precision: 0.7580, eval/recall: 0.7143, eval/F1: 0.7138, lr: 0.0293, train/prefecth_time: 0.0066 BEST_EVAL_ACC: 0.7173, at 38912 iters
[2025-04-19 12:25:06,555 INFO] 40192 iteration USE_EMA: True, train/sup_loss: 0.2896, train/aux_loss: 0.3670, train/total_loss: 0.6567, train/util_ratio: 0.3460, train/run_time: 0.2359, lr: 0.0293, train/prefecth_time: 0.0059 
[2025-04-19 12:28:32,171 INFO] 40448 iteration USE_EMA: True, train/sup_loss: 0.3102, train/aux_loss: 0.3182, train/total_loss: 0.6284, train/util_ratio: 0.3147, train/run_time: 1.3345, lr: 0.0293, train/prefecth_time: 0.0045 
[2025-04-19 12:32:54,405 INFO] 40704 iteration USE_EMA: True, train/sup_loss: 0.2608, train/aux_loss: 0.6808, train/total_loss: 0.9416, train/util_ratio: 0.2746, train/run_time: 1.4036, lr: 0.0293, train/prefecth_time: 0.0046 
[2025-04-19 12:37:40,537 INFO] validating...
[2025-04-19 12:37:43,838 INFO] confusion matrix:
[[0.889 0.016 0.033 0.012 0.023 0.006 0.    0.001 0.017 0.003]
 [0.01  0.973 0.002 0.002 0.    0.002 0.    0.    0.    0.011]
 [0.083 0.003 0.692 0.074 0.078 0.045 0.02  0.003 0.    0.002]
 [0.026 0.006 0.086 0.679 0.056 0.107 0.023 0.008 0.    0.009]
 [0.013 0.001 0.075 0.035 0.828 0.018 0.011 0.018 0.    0.001]
 [0.008 0.003 0.062 0.233 0.038 0.626 0.007 0.02  0.    0.003]
 [0.011 0.    0.107 0.117 0.025 0.007 0.732 0.    0.    0.001]
 [0.054 0.    0.081 0.083 0.061 0.039 0.001 0.676 0.002 0.003]
 [0.328 0.076 0.043 0.015 0.009 0.006 0.    0.    0.469 0.054]
 [0.099 0.312 0.004 0.014 0.004 0.    0.    0.    0.001 0.566]]
[2025-04-19 12:37:45,657 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 12:37:45,658 INFO] 40960 iteration, USE_EMA: True, train/sup_loss: 0.2782, train/aux_loss: 0.5626, train/total_loss: 0.8408, train/util_ratio: 0.2902, train/run_time: 1.6261, eval/loss: 1.0174, eval/top-1-acc: 0.7130, eval/top-5-acc: 0.9231, eval/balanced_acc: 0.7130, eval/precision: 0.7554, eval/recall: 0.7130, eval/F1: 0.7122, lr: 0.0293, train/prefecth_time: 0.0074 BEST_EVAL_ACC: 0.7173, at 38912 iters
[2025-04-19 12:38:59,289 INFO] select_ulb_dist:
[   0.    0.    0.   21.  136.  325. 3589.  461. 1240.  898.]
[2025-04-19 12:38:59,291 INFO] lb_select_ulb_dist:
[ 400.  239.  143.  107.  187.  355. 3607.  472. 1246.  902.]
[2025-04-19 12:38:59,302 INFO] 40: Update the labeled data.
[2025-04-19 12:42:22,386 INFO] 41216 iteration USE_EMA: True, train/sup_loss: 0.3970, train/aux_loss: 0.7417, train/total_loss: 1.1387, train/util_ratio: 0.4688, train/run_time: 0.4465, lr: 0.0293, train/prefecth_time: 0.0081 
[2025-04-19 12:43:42,809 INFO] 41472 iteration USE_EMA: True, train/sup_loss: 0.3577, train/aux_loss: 0.5911, train/total_loss: 0.9489, train/util_ratio: 0.5357, train/run_time: 0.1653, lr: 0.0293, train/prefecth_time: 0.0063 
[2025-04-19 12:45:08,115 INFO] 41728 iteration USE_EMA: True, train/sup_loss: 0.2483, train/aux_loss: 0.5034, train/total_loss: 0.7517, train/util_ratio: 0.5580, train/run_time: 0.3600, lr: 0.0293, train/prefecth_time: 0.0094 
[2025-04-19 12:46:35,199 INFO] validating...
[2025-04-19 12:46:37,755 INFO] confusion matrix:
[[0.892 0.011 0.052 0.013 0.012 0.003 0.001 0.001 0.01  0.005]
 [0.008 0.973 0.001 0.004 0.    0.001 0.001 0.    0.    0.012]
 [0.068 0.001 0.771 0.053 0.063 0.021 0.019 0.003 0.    0.001]
 [0.023 0.004 0.122 0.71  0.049 0.063 0.017 0.006 0.    0.006]
 [0.02  0.    0.089 0.043 0.81  0.007 0.01  0.021 0.    0.   ]
 [0.003 0.001 0.113 0.238 0.035 0.573 0.006 0.031 0.    0.   ]
 [0.009 0.    0.099 0.126 0.016 0.003 0.747 0.    0.    0.   ]
 [0.031 0.    0.114 0.1   0.058 0.012 0.001 0.68  0.001 0.003]
 [0.245 0.059 0.028 0.018 0.006 0.001 0.    0.    0.588 0.055]
 [0.048 0.237 0.005 0.019 0.005 0.    0.    0.    0.004 0.682]]
[2025-04-19 12:46:38,188 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 12:46:38,627 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 12:46:38,629 INFO] 41984 iteration, USE_EMA: True, train/sup_loss: 0.2037, train/aux_loss: 0.4295, train/total_loss: 0.6331, train/util_ratio: 0.5848, train/run_time: 0.3587, eval/loss: 0.9152, eval/top-1-acc: 0.7426, eval/top-5-acc: 0.9438, eval/balanced_acc: 0.7426, eval/precision: 0.7830, eval/recall: 0.7426, eval/F1: 0.7452, lr: 0.0293, train/prefecth_time: 0.0060 BEST_EVAL_ACC: 0.7426, at 41984 iters
[2025-04-19 12:48:05,490 INFO] 42240 iteration USE_EMA: True, train/sup_loss: 0.2770, train/aux_loss: 0.4402, train/total_loss: 0.7172, train/util_ratio: 0.5804, train/run_time: 0.5382, lr: 0.0293, train/prefecth_time: 0.0061 
[2025-04-19 12:49:30,310 INFO] 42496 iteration USE_EMA: True, train/sup_loss: 0.2452, train/aux_loss: 0.3156, train/total_loss: 0.5609, train/util_ratio: 0.6250, train/run_time: 0.4627, lr: 0.0293, train/prefecth_time: 0.0073 
[2025-04-19 12:50:56,465 INFO] 42752 iteration USE_EMA: True, train/sup_loss: 0.2387, train/aux_loss: 0.2803, train/total_loss: 0.5190, train/util_ratio: 0.6027, train/run_time: 0.1562, lr: 0.0292, train/prefecth_time: 0.0059 
[2025-04-19 12:52:20,812 INFO] validating...
[2025-04-19 12:52:23,453 INFO] confusion matrix:
[[0.91  0.012 0.037 0.009 0.009 0.002 0.002 0.001 0.013 0.005]
 [0.008 0.967 0.001 0.003 0.    0.002 0.002 0.    0.    0.017]
 [0.083 0.001 0.741 0.055 0.057 0.022 0.035 0.005 0.    0.001]
 [0.033 0.006 0.104 0.699 0.039 0.07  0.032 0.009 0.    0.008]
 [0.022 0.    0.084 0.044 0.781 0.007 0.018 0.043 0.001 0.   ]
 [0.008 0.001 0.084 0.244 0.032 0.588 0.008 0.034 0.    0.001]
 [0.011 0.    0.07  0.094 0.015 0.003 0.807 0.    0.    0.   ]
 [0.051 0.001 0.09  0.085 0.03  0.014 0.004 0.721 0.002 0.002]
 [0.178 0.05  0.018 0.011 0.005 0.001 0.    0.    0.647 0.09 ]
 [0.053 0.199 0.002 0.015 0.    0.    0.    0.001 0.006 0.724]]
[2025-04-19 12:52:23,904 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 12:52:24,334 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 12:52:24,336 INFO] 43008 iteration, USE_EMA: True, train/sup_loss: 0.2151, train/aux_loss: 0.3865, train/total_loss: 0.6015, train/util_ratio: 0.5781, train/run_time: 0.1902, eval/loss: 0.8949, eval/top-1-acc: 0.7585, eval/top-5-acc: 0.9437, eval/balanced_acc: 0.7585, eval/precision: 0.7841, eval/recall: 0.7585, eval/F1: 0.7601, lr: 0.0292, train/prefecth_time: 0.0056 BEST_EVAL_ACC: 0.7585, at 43008 iters
[2025-04-19 12:53:53,213 INFO] 43264 iteration USE_EMA: True, train/sup_loss: 0.2758, train/aux_loss: 0.4499, train/total_loss: 0.7257, train/util_ratio: 0.5558, train/run_time: 0.1758, lr: 0.0292, train/prefecth_time: 0.0065 
[2025-04-19 12:55:16,293 INFO] 43520 iteration USE_EMA: True, train/sup_loss: 0.2780, train/aux_loss: 0.5448, train/total_loss: 0.8228, train/util_ratio: 0.4978, train/run_time: 0.2912, lr: 0.0292, train/prefecth_time: 0.0086 
[2025-04-19 12:56:39,411 INFO] 43776 iteration USE_EMA: True, train/sup_loss: 0.2985, train/aux_loss: 0.4674, train/total_loss: 0.7659, train/util_ratio: 0.5647, train/run_time: 0.3990, lr: 0.0292, train/prefecth_time: 0.0046 
[2025-04-19 12:57:58,016 INFO] validating...
[2025-04-19 12:58:01,780 INFO] confusion matrix:
[[0.893 0.017 0.049 0.013 0.005 0.002 0.003 0.    0.015 0.003]
 [0.006 0.972 0.001 0.002 0.    0.002 0.002 0.    0.    0.015]
 [0.072 0.002 0.756 0.063 0.055 0.017 0.03  0.004 0.    0.001]
 [0.027 0.003 0.096 0.719 0.042 0.056 0.036 0.013 0.    0.008]
 [0.019 0.    0.084 0.051 0.785 0.005 0.018 0.038 0.    0.   ]
 [0.008 0.002 0.093 0.245 0.033 0.569 0.01  0.04  0.    0.   ]
 [0.009 0.    0.06  0.097 0.011 0.001 0.822 0.    0.    0.   ]
 [0.036 0.    0.1   0.093 0.032 0.012 0.004 0.718 0.002 0.003]
 [0.153 0.053 0.021 0.013 0.004 0.    0.    0.    0.671 0.085]
 [0.051 0.196 0.005 0.017 0.002 0.    0.001 0.    0.005 0.723]]
[2025-04-19 12:58:02,196 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 12:58:02,543 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 12:58:02,543 INFO] 44032 iteration, USE_EMA: True, train/sup_loss: 0.2035, train/aux_loss: 0.3013, train/total_loss: 0.5048, train/util_ratio: 0.6540, train/run_time: 0.2151, eval/loss: 0.8844, eval/top-1-acc: 0.7628, eval/top-5-acc: 0.9502, eval/balanced_acc: 0.7628, eval/precision: 0.7896, eval/recall: 0.7628, eval/F1: 0.7647, lr: 0.0292, train/prefecth_time: 0.0066 BEST_EVAL_ACC: 0.7628, at 44032 iters
[2025-04-19 12:59:29,312 INFO] 44288 iteration USE_EMA: True, train/sup_loss: 0.2800, train/aux_loss: 0.3452, train/total_loss: 0.6253, train/util_ratio: 0.6027, train/run_time: 0.4453, lr: 0.0292, train/prefecth_time: 0.0082 
[2025-04-19 13:00:54,771 INFO] 44544 iteration USE_EMA: True, train/sup_loss: 0.2361, train/aux_loss: 0.3457, train/total_loss: 0.5818, train/util_ratio: 0.6205, train/run_time: 0.1857, lr: 0.0292, train/prefecth_time: 0.0077 
[2025-04-19 13:02:18,421 INFO] 44800 iteration USE_EMA: True, train/sup_loss: 0.2356, train/aux_loss: 0.3450, train/total_loss: 0.5806, train/util_ratio: 0.6272, train/run_time: 0.4052, lr: 0.0292, train/prefecth_time: 0.0090 
[2025-04-19 13:03:44,556 INFO] validating...
[2025-04-19 13:03:47,686 INFO] confusion matrix:
[[0.907 0.013 0.043 0.01  0.006 0.001 0.002 0.001 0.014 0.003]
 [0.007 0.967 0.002 0.001 0.    0.001 0.002 0.    0.    0.02 ]
 [0.082 0.003 0.737 0.062 0.056 0.022 0.033 0.003 0.    0.002]
 [0.038 0.005 0.08  0.703 0.043 0.074 0.037 0.012 0.    0.008]
 [0.024 0.001 0.081 0.041 0.782 0.005 0.019 0.046 0.001 0.   ]
 [0.011 0.003 0.075 0.233 0.035 0.593 0.009 0.04  0.    0.001]
 [0.012 0.    0.059 0.101 0.011 0.001 0.816 0.    0.    0.   ]
 [0.047 0.003 0.083 0.081 0.031 0.016 0.004 0.729 0.003 0.003]
 [0.155 0.052 0.017 0.012 0.003 0.    0.    0.    0.682 0.079]
 [0.054 0.185 0.003 0.01  0.002 0.    0.    0.002 0.004 0.74 ]]
[2025-04-19 13:03:48,307 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 13:03:48,839 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 13:03:48,841 INFO] 45056 iteration, USE_EMA: True, train/sup_loss: 0.2014, train/aux_loss: 0.3233, train/total_loss: 0.5247, train/util_ratio: 0.6362, train/run_time: 0.3094, eval/loss: 0.8764, eval/top-1-acc: 0.7656, eval/top-5-acc: 0.9475, eval/balanced_acc: 0.7656, eval/precision: 0.7881, eval/recall: 0.7656, eval/F1: 0.7672, lr: 0.0292, train/prefecth_time: 0.0070 BEST_EVAL_ACC: 0.7656, at 45056 iters
[2025-04-19 13:05:14,908 INFO] 45312 iteration USE_EMA: True, train/sup_loss: 0.2911, train/aux_loss: 0.3769, train/total_loss: 0.6679, train/util_ratio: 0.6004, train/run_time: 0.3874, lr: 0.0292, train/prefecth_time: 0.0044 
[2025-04-19 13:06:40,163 INFO] 45568 iteration USE_EMA: True, train/sup_loss: 0.3586, train/aux_loss: 0.6373, train/total_loss: 0.9959, train/util_ratio: 0.4554, train/run_time: 0.1568, lr: 0.0291, train/prefecth_time: 0.0053 
[2025-04-19 13:08:04,593 INFO] 45824 iteration USE_EMA: True, train/sup_loss: 0.2498, train/aux_loss: 0.5788, train/total_loss: 0.8287, train/util_ratio: 0.5603, train/run_time: 0.3593, lr: 0.0291, train/prefecth_time: 0.0069 
[2025-04-19 13:09:29,322 INFO] validating...
[2025-04-19 13:09:31,757 INFO] confusion matrix:
[[0.891 0.018 0.043 0.01  0.008 0.002 0.003 0.002 0.018 0.005]
 [0.008 0.972 0.002 0.001 0.    0.001 0.001 0.    0.    0.015]
 [0.077 0.003 0.758 0.052 0.056 0.016 0.034 0.003 0.    0.001]
 [0.025 0.004 0.098 0.71  0.042 0.063 0.035 0.014 0.002 0.007]
 [0.014 0.001 0.086 0.05  0.784 0.007 0.021 0.037 0.    0.   ]
 [0.007 0.    0.092 0.231 0.032 0.581 0.011 0.045 0.    0.001]
 [0.011 0.    0.064 0.101 0.011 0.002 0.811 0.    0.    0.   ]
 [0.042 0.003 0.093 0.088 0.033 0.011 0.003 0.722 0.003 0.002]
 [0.157 0.049 0.017 0.01  0.002 0.    0.    0.    0.688 0.077]
 [0.047 0.196 0.005 0.014 0.001 0.    0.001 0.001 0.008 0.727]]
[2025-04-19 13:09:32,442 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 13:09:32,442 INFO] 46080 iteration, USE_EMA: True, train/sup_loss: 0.2010, train/aux_loss: 0.3208, train/total_loss: 0.5218, train/util_ratio: 0.6250, train/run_time: 0.3800, eval/loss: 0.8950, eval/top-1-acc: 0.7644, eval/top-5-acc: 0.9484, eval/balanced_acc: 0.7644, eval/precision: 0.7885, eval/recall: 0.7644, eval/F1: 0.7661, lr: 0.0291, train/prefecth_time: 0.0086 BEST_EVAL_ACC: 0.7656, at 45056 iters
[2025-04-19 13:11:17,873 INFO] select_ulb_dist:
[   0.    0.    0.   40.  272.  616. 4183.  493. 1970. 1659.]
[2025-04-19 13:11:17,874 INFO] lb_select_ulb_dist:
[ 400.  239.  143.  126.  323.  646. 4201.  504. 1976. 1663.]
[2025-04-19 13:11:17,889 INFO] 45: Update the labeled data.
[2025-04-19 13:13:03,903 INFO] 46336 iteration USE_EMA: True, train/sup_loss: 0.3062, train/aux_loss: 0.6427, train/total_loss: 0.9489, train/util_ratio: 0.5268, train/run_time: 0.3988, lr: 0.0291, train/prefecth_time: 0.0073 
[2025-04-19 13:14:27,967 INFO] 46592 iteration USE_EMA: True, train/sup_loss: 0.3528, train/aux_loss: 0.6001, train/total_loss: 0.9530, train/util_ratio: 0.5312, train/run_time: 0.1689, lr: 0.0291, train/prefecth_time: 0.0055 
[2025-04-19 13:15:44,930 INFO] 46848 iteration USE_EMA: True, train/sup_loss: 0.6033, train/aux_loss: 0.7961, train/total_loss: 1.3994, train/util_ratio: 0.5871, train/run_time: 0.1761, lr: 0.0291, train/prefecth_time: 0.0077 
[2025-04-19 13:17:09,657 INFO] validating...
[2025-04-19 13:17:12,161 INFO] confusion matrix:
[[0.88  0.014 0.046 0.013 0.009 0.003 0.004 0.002 0.022 0.007]
 [0.008 0.974 0.    0.003 0.    0.001 0.    0.    0.    0.014]
 [0.067 0.001 0.783 0.043 0.046 0.02  0.035 0.003 0.    0.002]
 [0.022 0.004 0.124 0.688 0.037 0.076 0.03  0.011 0.003 0.005]
 [0.016 0.    0.094 0.045 0.779 0.006 0.02  0.04  0.    0.   ]
 [0.006 0.001 0.111 0.188 0.028 0.615 0.008 0.043 0.    0.   ]
 [0.008 0.    0.061 0.095 0.006 0.003 0.826 0.    0.001 0.   ]
 [0.023 0.001 0.115 0.089 0.031 0.014 0.003 0.721 0.002 0.001]
 [0.1   0.036 0.011 0.01  0.004 0.    0.001 0.    0.738 0.1  ]
 [0.031 0.145 0.012 0.015 0.001 0.    0.001 0.    0.007 0.788]]
[2025-04-19 13:17:12,572 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 13:17:13,148 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 13:17:13,149 INFO] 47104 iteration, USE_EMA: True, train/sup_loss: 0.3310, train/aux_loss: 0.5530, train/total_loss: 0.8840, train/util_ratio: 0.5737, train/run_time: 0.3955, eval/loss: 0.8051, eval/top-1-acc: 0.7792, eval/top-5-acc: 0.9676, eval/balanced_acc: 0.7792, eval/precision: 0.7986, eval/recall: 0.7792, eval/F1: 0.7817, lr: 0.0291, train/prefecth_time: 0.0065 BEST_EVAL_ACC: 0.7792, at 47104 iters
[2025-04-19 13:18:20,112 INFO] 47360 iteration USE_EMA: True, train/sup_loss: 0.2161, train/aux_loss: 0.4285, train/total_loss: 0.6446, train/util_ratio: 0.6473, train/run_time: 0.1539, lr: 0.0291, train/prefecth_time: 0.0100 
[2025-04-19 13:19:26,204 INFO] 47616 iteration USE_EMA: True, train/sup_loss: 0.2605, train/aux_loss: 0.3316, train/total_loss: 0.5921, train/util_ratio: 0.6853, train/run_time: 0.1800, lr: 0.0291, train/prefecth_time: 0.0085 
[2025-04-19 13:20:33,618 INFO] 47872 iteration USE_EMA: True, train/sup_loss: 0.3477, train/aux_loss: 0.3719, train/total_loss: 0.7196, train/util_ratio: 0.6853, train/run_time: 0.3236, lr: 0.0291, train/prefecth_time: 0.0126 
[2025-04-19 13:21:39,855 INFO] validating...
[2025-04-19 13:21:42,644 INFO] confusion matrix:
[[0.887 0.008 0.043 0.008 0.009 0.002 0.005 0.005 0.026 0.007]
 [0.008 0.968 0.001 0.001 0.    0.002 0.    0.    0.    0.02 ]
 [0.078 0.002 0.731 0.039 0.051 0.032 0.06  0.004 0.    0.003]
 [0.027 0.003 0.102 0.649 0.041 0.104 0.047 0.014 0.003 0.01 ]
 [0.019 0.001 0.083 0.036 0.778 0.011 0.033 0.039 0.    0.   ]
 [0.009 0.002 0.071 0.163 0.028 0.668 0.013 0.046 0.    0.   ]
 [0.009 0.    0.037 0.073 0.007 0.003 0.87  0.    0.001 0.   ]
 [0.039 0.001 0.084 0.07  0.03  0.025 0.007 0.74  0.003 0.001]
 [0.079 0.03  0.01  0.004 0.003 0.001 0.001 0.    0.764 0.108]
 [0.028 0.081 0.005 0.013 0.002 0.    0.001 0.    0.007 0.863]]
[2025-04-19 13:21:42,979 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 13:21:43,382 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 13:21:43,383 INFO] 48128 iteration, USE_EMA: True, train/sup_loss: 0.2620, train/aux_loss: 0.3047, train/total_loss: 0.5667, train/util_ratio: 0.6763, train/run_time: 0.3092, eval/loss: 0.7677, eval/top-1-acc: 0.7918, eval/top-5-acc: 0.9721, eval/balanced_acc: 0.7918, eval/precision: 0.7996, eval/recall: 0.7918, eval/F1: 0.7924, lr: 0.0290, train/prefecth_time: 0.0046 BEST_EVAL_ACC: 0.7918, at 48128 iters
[2025-04-19 13:22:52,132 INFO] 48384 iteration USE_EMA: True, train/sup_loss: 0.2141, train/aux_loss: 0.3007, train/total_loss: 0.5147, train/util_ratio: 0.7121, train/run_time: 0.1670, lr: 0.0290, train/prefecth_time: 0.0102 
[2025-04-19 13:23:59,836 INFO] 48640 iteration USE_EMA: True, train/sup_loss: 0.3126, train/aux_loss: 0.4867, train/total_loss: 0.7993, train/util_ratio: 0.5893, train/run_time: 0.1827, lr: 0.0290, train/prefecth_time: 0.0075 
[2025-04-19 13:25:01,150 INFO] 48896 iteration USE_EMA: True, train/sup_loss: 0.4737, train/aux_loss: 0.5763, train/total_loss: 1.0501, train/util_ratio: 0.5938, train/run_time: 0.2401, lr: 0.0290, train/prefecth_time: 0.0785 
[2025-04-19 13:25:59,335 INFO] validating...
[2025-04-19 13:26:01,914 INFO] confusion matrix:
[[0.894 0.007 0.044 0.006 0.007 0.002 0.005 0.002 0.022 0.011]
 [0.01  0.963 0.001 0.    0.    0.001 0.002 0.    0.    0.023]
 [0.062 0.002 0.76  0.033 0.053 0.023 0.059 0.005 0.    0.003]
 [0.023 0.003 0.103 0.643 0.043 0.103 0.057 0.013 0.005 0.007]
 [0.017 0.    0.09  0.033 0.779 0.011 0.032 0.038 0.    0.   ]
 [0.007 0.    0.076 0.164 0.029 0.663 0.013 0.048 0.    0.   ]
 [0.007 0.    0.037 0.069 0.008 0.001 0.877 0.    0.001 0.   ]
 [0.03  0.001 0.098 0.068 0.03  0.025 0.007 0.737 0.002 0.002]
 [0.062 0.026 0.014 0.005 0.003 0.    0.001 0.    0.774 0.115]
 [0.027 0.069 0.006 0.011 0.001 0.    0.002 0.001 0.009 0.874]]
[2025-04-19 13:26:02,762 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 13:26:03,815 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 13:26:03,816 INFO] 49152 iteration, USE_EMA: True, train/sup_loss: 0.3458, train/aux_loss: 0.5119, train/total_loss: 0.8577, train/util_ratio: 0.6004, train/run_time: 0.1615, eval/loss: 0.7578, eval/top-1-acc: 0.7964, eval/top-5-acc: 0.9732, eval/balanced_acc: 0.7964, eval/precision: 0.8044, eval/recall: 0.7964, eval/F1: 0.7969, lr: 0.0290, train/prefecth_time: 0.0045 BEST_EVAL_ACC: 0.7964, at 49152 iters
[2025-04-19 13:27:13,236 INFO] 49408 iteration USE_EMA: True, train/sup_loss: 0.2211, train/aux_loss: 0.3790, train/total_loss: 0.6001, train/util_ratio: 0.6451, train/run_time: 0.2633, lr: 0.0290, train/prefecth_time: 0.0080 
[2025-04-19 13:28:17,417 INFO] 49664 iteration USE_EMA: True, train/sup_loss: 0.2522, train/aux_loss: 0.3883, train/total_loss: 0.6405, train/util_ratio: 0.6496, train/run_time: 0.2490, lr: 0.0290, train/prefecth_time: 0.0092 
[2025-04-19 13:29:25,537 INFO] 49920 iteration USE_EMA: True, train/sup_loss: 0.3512, train/aux_loss: 0.3432, train/total_loss: 0.6944, train/util_ratio: 0.6964, train/run_time: 0.2871, lr: 0.0290, train/prefecth_time: 0.0089 
[2025-04-19 13:30:32,759 INFO] validating...
[2025-04-19 13:30:36,003 INFO] confusion matrix:
[[0.896 0.006 0.035 0.006 0.008 0.003 0.004 0.004 0.027 0.011]
 [0.008 0.956 0.002 0.001 0.    0.001 0.002 0.    0.    0.03 ]
 [0.079 0.001 0.734 0.032 0.058 0.024 0.061 0.006 0.    0.005]
 [0.034 0.003 0.085 0.643 0.044 0.099 0.061 0.017 0.005 0.009]
 [0.016 0.001 0.082 0.036 0.781 0.013 0.029 0.041 0.001 0.   ]
 [0.01  0.001 0.068 0.153 0.03  0.674 0.015 0.048 0.    0.001]
 [0.009 0.    0.037 0.061 0.006 0.003 0.883 0.    0.001 0.   ]
 [0.043 0.001 0.074 0.067 0.03  0.028 0.008 0.745 0.002 0.002]
 [0.061 0.023 0.011 0.006 0.003 0.    0.001 0.    0.787 0.108]
 [0.027 0.056 0.005 0.009 0.    0.    0.002 0.    0.009 0.892]]
[2025-04-19 13:30:36,382 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 13:30:36,696 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 13:30:36,697 INFO] 50176 iteration, USE_EMA: True, train/sup_loss: 0.2525, train/aux_loss: 0.2948, train/total_loss: 0.5473, train/util_ratio: 0.6719, train/run_time: 0.2698, eval/loss: 0.7501, eval/top-1-acc: 0.7991, eval/top-5-acc: 0.9735, eval/balanced_acc: 0.7991, eval/precision: 0.8045, eval/recall: 0.7991, eval/F1: 0.7990, lr: 0.0290, train/prefecth_time: 0.0044 BEST_EVAL_ACC: 0.7991, at 50176 iters
[2025-04-19 13:31:46,793 INFO] 50432 iteration USE_EMA: True, train/sup_loss: 0.2126, train/aux_loss: 0.2840, train/total_loss: 0.4966, train/util_ratio: 0.6808, train/run_time: 0.3594, lr: 0.0290, train/prefecth_time: 0.0097 
[2025-04-19 13:32:54,575 INFO] 50688 iteration USE_EMA: True, train/sup_loss: 0.2407, train/aux_loss: 0.2837, train/total_loss: 0.5243, train/util_ratio: 0.6696, train/run_time: 0.1728, lr: 0.0289, train/prefecth_time: 0.0064 
[2025-04-19 13:33:52,779 INFO] 50944 iteration USE_EMA: True, train/sup_loss: 0.3520, train/aux_loss: 0.2877, train/total_loss: 0.6397, train/util_ratio: 0.7009, train/run_time: 0.1722, lr: 0.0289, train/prefecth_time: 0.0109 
[2025-04-19 13:34:50,336 INFO] validating...
[2025-04-19 13:34:53,406 INFO] confusion matrix:
[[0.891 0.005 0.035 0.004 0.008 0.003 0.004 0.006 0.036 0.008]
 [0.008 0.954 0.002 0.003 0.    0.001 0.002 0.    0.    0.03 ]
 [0.084 0.001 0.71  0.034 0.061 0.031 0.07  0.005 0.    0.004]
 [0.034 0.003 0.078 0.64  0.048 0.11  0.061 0.012 0.004 0.01 ]
 [0.018 0.002 0.069 0.032 0.785 0.016 0.035 0.042 0.001 0.   ]
 [0.011 0.001 0.064 0.147 0.029 0.68  0.017 0.05  0.    0.001]
 [0.008 0.    0.026 0.061 0.009 0.001 0.894 0.    0.001 0.   ]
 [0.053 0.002 0.073 0.061 0.035 0.03  0.007 0.735 0.002 0.002]
 [0.053 0.024 0.013 0.005 0.    0.001 0.001 0.    0.799 0.104]
 [0.026 0.054 0.004 0.007 0.    0.    0.002 0.001 0.009 0.897]]
[2025-04-19 13:34:53,710 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 13:34:53,711 INFO] 51200 iteration, USE_EMA: True, train/sup_loss: 0.3346, train/aux_loss: 0.5541, train/total_loss: 0.8887, train/util_ratio: 0.6317, train/run_time: 0.4144, eval/loss: 0.7444, eval/top-1-acc: 0.7985, eval/top-5-acc: 0.9730, eval/balanced_acc: 0.7985, eval/precision: 0.8021, eval/recall: 0.7985, eval/F1: 0.7979, lr: 0.0289, train/prefecth_time: 0.0090 BEST_EVAL_ACC: 0.7991, at 50176 iters
[2025-04-19 13:36:46,519 INFO] select_ulb_dist:
[0.000e+00 0.000e+00 2.000e+00 4.600e+01 3.080e+02 7.250e+02 4.326e+03
 5.060e+02 2.203e+03 1.883e+03]
[2025-04-19 13:36:46,524 INFO] lb_select_ulb_dist:
[ 400.  239.  145.  132.  359.  755. 4344.  517. 2209. 1887.]
[2025-04-19 13:36:46,532 INFO] 50: Update the labeled data.
[2025-04-19 13:38:12,338 INFO] 51456 iteration USE_EMA: True, train/sup_loss: 0.4227, train/aux_loss: 0.5463, train/total_loss: 0.9690, train/util_ratio: 0.6004, train/run_time: 0.1479, lr: 0.0289, train/prefecth_time: 0.0974 
[2025-04-19 13:39:11,612 INFO] 51712 iteration USE_EMA: True, train/sup_loss: 0.3326, train/aux_loss: 0.6906, train/total_loss: 1.0232, train/util_ratio: 0.5670, train/run_time: 0.1636, lr: 0.0289, train/prefecth_time: 0.0119 
[2025-04-19 13:40:10,599 INFO] 51968 iteration USE_EMA: True, train/sup_loss: 0.3389, train/aux_loss: 0.4684, train/total_loss: 0.8074, train/util_ratio: 0.5938, train/run_time: 0.1605, lr: 0.0289, train/prefecth_time: 0.0088 
[2025-04-19 13:41:09,732 INFO] validating...
[2025-04-19 13:41:12,516 INFO] confusion matrix:
[[0.871 0.007 0.056 0.004 0.007 0.004 0.004 0.004 0.032 0.011]
 [0.01  0.944 0.003 0.003 0.    0.001 0.001 0.    0.001 0.037]
 [0.057 0.    0.779 0.037 0.042 0.032 0.044 0.005 0.    0.004]
 [0.022 0.002 0.11  0.639 0.043 0.112 0.039 0.018 0.006 0.009]
 [0.014 0.001 0.093 0.035 0.78  0.013 0.024 0.04  0.    0.   ]
 [0.004 0.001 0.077 0.135 0.028 0.692 0.012 0.051 0.    0.   ]
 [0.008 0.    0.04  0.07  0.006 0.002 0.871 0.001 0.001 0.001]
 [0.017 0.001 0.088 0.061 0.037 0.032 0.006 0.756 0.001 0.001]
 [0.042 0.021 0.012 0.006 0.002 0.    0.001 0.    0.814 0.102]
 [0.017 0.047 0.009 0.013 0.001 0.    0.001 0.001 0.011 0.9  ]]
[2025-04-19 13:41:13,464 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 13:41:13,986 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 13:41:13,987 INFO] 52224 iteration, USE_EMA: True, train/sup_loss: 0.3468, train/aux_loss: 0.4969, train/total_loss: 0.8437, train/util_ratio: 0.6562, train/run_time: 0.2208, eval/loss: 0.7166, eval/top-1-acc: 0.8046, eval/top-5-acc: 0.9784, eval/balanced_acc: 0.8046, eval/precision: 0.8114, eval/recall: 0.8046, eval/F1: 0.8057, lr: 0.0289, train/prefecth_time: 0.0089 BEST_EVAL_ACC: 0.8046, at 52224 iters
[2025-04-19 13:42:15,745 INFO] 52480 iteration USE_EMA: True, train/sup_loss: 0.1386, train/aux_loss: 0.4456, train/total_loss: 0.5842, train/util_ratio: 0.6406, train/run_time: 0.1543, lr: 0.0289, train/prefecth_time: 0.1054 
[2025-04-19 13:43:13,528 INFO] 52736 iteration USE_EMA: True, train/sup_loss: 0.4136, train/aux_loss: 0.4617, train/total_loss: 0.8753, train/util_ratio: 0.6384, train/run_time: 0.1704, lr: 0.0289, train/prefecth_time: 0.0226 
[2025-04-19 13:44:12,026 INFO] 52992 iteration USE_EMA: True, train/sup_loss: 0.2732, train/aux_loss: 0.4346, train/total_loss: 0.7078, train/util_ratio: 0.6629, train/run_time: 0.1567, lr: 0.0288, train/prefecth_time: 0.0069 
[2025-04-19 13:45:10,539 INFO] validating...
[2025-04-19 13:45:13,400 INFO] confusion matrix:
[[0.877 0.007 0.044 0.005 0.007 0.004 0.005 0.003 0.034 0.014]
 [0.01  0.954 0.001 0.002 0.    0.001 0.    0.    0.003 0.029]
 [0.065 0.    0.759 0.039 0.043 0.033 0.055 0.004 0.    0.002]
 [0.028 0.004 0.084 0.636 0.04  0.116 0.055 0.02  0.006 0.011]
 [0.015 0.    0.084 0.032 0.787 0.015 0.031 0.034 0.001 0.001]
 [0.006 0.001 0.071 0.132 0.028 0.703 0.011 0.047 0.    0.001]
 [0.008 0.    0.034 0.059 0.005 0.002 0.889 0.    0.001 0.002]
 [0.022 0.001 0.086 0.053 0.038 0.035 0.005 0.757 0.002 0.001]
 [0.034 0.018 0.009 0.007 0.002 0.    0.001 0.    0.82  0.109]
 [0.017 0.044 0.007 0.007 0.    0.    0.002 0.002 0.009 0.912]]
[2025-04-19 13:45:13,761 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 13:45:14,178 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 13:45:14,179 INFO] 53248 iteration, USE_EMA: True, train/sup_loss: 0.3740, train/aux_loss: 0.5210, train/total_loss: 0.8950, train/util_ratio: 0.5714, train/run_time: 0.1926, eval/loss: 0.7225, eval/top-1-acc: 0.8094, eval/top-5-acc: 0.9781, eval/balanced_acc: 0.8094, eval/precision: 0.8133, eval/recall: 0.8094, eval/F1: 0.8095, lr: 0.0288, train/prefecth_time: 0.0923 BEST_EVAL_ACC: 0.8094, at 53248 iters
[2025-04-19 13:46:13,926 INFO] 53504 iteration USE_EMA: True, train/sup_loss: 0.1388, train/aux_loss: 0.3964, train/total_loss: 0.5351, train/util_ratio: 0.6518, train/run_time: 0.1476, lr: 0.0288, train/prefecth_time: 0.0235 
[2025-04-19 13:47:11,596 INFO] 53760 iteration USE_EMA: True, train/sup_loss: 0.3018, train/aux_loss: 0.5202, train/total_loss: 0.8220, train/util_ratio: 0.6429, train/run_time: 0.2123, lr: 0.0288, train/prefecth_time: 0.0100 
[2025-04-19 13:48:09,679 INFO] 54016 iteration USE_EMA: True, train/sup_loss: 0.1746, train/aux_loss: 0.3924, train/total_loss: 0.5670, train/util_ratio: 0.6540, train/run_time: 0.1679, lr: 0.0288, train/prefecth_time: 0.0074 
[2025-04-19 13:49:08,345 INFO] validating...
[2025-04-19 13:49:11,001 INFO] confusion matrix:
[[0.89  0.005 0.039 0.004 0.008 0.004 0.004 0.001 0.032 0.013]
 [0.013 0.953 0.001 0.002 0.    0.001 0.    0.    0.001 0.029]
 [0.063 0.001 0.757 0.039 0.043 0.036 0.053 0.004 0.002 0.002]
 [0.033 0.003 0.083 0.636 0.043 0.12  0.049 0.019 0.004 0.01 ]
 [0.019 0.    0.077 0.03  0.792 0.017 0.029 0.035 0.001 0.   ]
 [0.008 0.001 0.061 0.125 0.032 0.715 0.008 0.049 0.    0.001]
 [0.008 0.    0.03  0.062 0.006 0.002 0.891 0.    0.001 0.   ]
 [0.02  0.001 0.065 0.058 0.037 0.043 0.007 0.766 0.003 0.   ]
 [0.027 0.016 0.007 0.006 0.002 0.001 0.001 0.    0.826 0.114]
 [0.019 0.044 0.005 0.009 0.    0.    0.001 0.001 0.01  0.911]]
[2025-04-19 13:49:11,484 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 13:49:12,037 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 13:49:12,039 INFO] 54272 iteration, USE_EMA: True, train/sup_loss: 0.2963, train/aux_loss: 0.3800, train/total_loss: 0.6763, train/util_ratio: 0.7143, train/run_time: 0.2933, eval/loss: 0.7239, eval/top-1-acc: 0.8137, eval/top-5-acc: 0.9772, eval/balanced_acc: 0.8137, eval/precision: 0.8163, eval/recall: 0.8137, eval/F1: 0.8136, lr: 0.0288, train/prefecth_time: 0.0062 BEST_EVAL_ACC: 0.8137, at 54272 iters
[2025-04-19 13:50:12,835 INFO] 54528 iteration USE_EMA: True, train/sup_loss: 0.1336, train/aux_loss: 0.2605, train/total_loss: 0.3941, train/util_ratio: 0.7277, train/run_time: 0.1575, lr: 0.0288, train/prefecth_time: 0.0355 
[2025-04-19 13:51:12,121 INFO] 54784 iteration USE_EMA: True, train/sup_loss: 0.2469, train/aux_loss: 0.2864, train/total_loss: 0.5334, train/util_ratio: 0.7500, train/run_time: 0.1648, lr: 0.0288, train/prefecth_time: 0.0055 
[2025-04-19 13:52:11,910 INFO] 55040 iteration USE_EMA: True, train/sup_loss: 0.1611, train/aux_loss: 0.2333, train/total_loss: 0.3944, train/util_ratio: 0.7701, train/run_time: 0.1516, lr: 0.0288, train/prefecth_time: 0.0073 
[2025-04-19 13:53:09,956 INFO] validating...
[2025-04-19 13:53:12,546 INFO] confusion matrix:
[[0.89  0.003 0.04  0.006 0.005 0.004 0.004 0.001 0.033 0.014]
 [0.009 0.952 0.002 0.002 0.    0.001 0.001 0.    0.    0.033]
 [0.069 0.001 0.75  0.036 0.044 0.03  0.062 0.004 0.002 0.002]
 [0.025 0.002 0.087 0.633 0.038 0.128 0.054 0.017 0.004 0.012]
 [0.018 0.    0.071 0.03  0.789 0.017 0.036 0.038 0.001 0.   ]
 [0.012 0.001 0.06  0.129 0.032 0.708 0.009 0.048 0.    0.001]
 [0.008 0.    0.029 0.058 0.004 0.002 0.898 0.    0.001 0.   ]
 [0.026 0.001 0.075 0.052 0.032 0.034 0.008 0.769 0.003 0.   ]
 [0.021 0.016 0.008 0.006 0.002 0.001 0.001 0.    0.84  0.105]
 [0.017 0.033 0.003 0.007 0.    0.    0.001 0.002 0.01  0.927]]
[2025-04-19 13:53:12,983 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 13:53:13,376 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 13:53:13,377 INFO] 55296 iteration, USE_EMA: True, train/sup_loss: 0.2853, train/aux_loss: 0.2568, train/total_loss: 0.5421, train/util_ratio: 0.7188, train/run_time: 0.1753, eval/loss: 0.7113, eval/top-1-acc: 0.8156, eval/top-5-acc: 0.9775, eval/balanced_acc: 0.8156, eval/precision: 0.8180, eval/recall: 0.8156, eval/F1: 0.8153, lr: 0.0287, train/prefecth_time: 0.0244 BEST_EVAL_ACC: 0.8156, at 55296 iters
[2025-04-19 13:54:13,255 INFO] 55552 iteration USE_EMA: True, train/sup_loss: 0.2591, train/aux_loss: 0.6136, train/total_loss: 0.8726, train/util_ratio: 0.5536, train/run_time: 0.1877, lr: 0.0287, train/prefecth_time: 0.0074 
[2025-04-19 13:55:11,485 INFO] 55808 iteration USE_EMA: True, train/sup_loss: 0.4595, train/aux_loss: 0.4533, train/total_loss: 0.9128, train/util_ratio: 0.6161, train/run_time: 0.1578, lr: 0.0287, train/prefecth_time: 0.0114 
[2025-04-19 13:56:10,202 INFO] 56064 iteration USE_EMA: True, train/sup_loss: 0.2013, train/aux_loss: 0.4774, train/total_loss: 0.6787, train/util_ratio: 0.6183, train/run_time: 0.1545, lr: 0.0287, train/prefecth_time: 0.0097 
[2025-04-19 13:57:08,942 INFO] validating...
[2025-04-19 13:57:11,529 INFO] confusion matrix:
[[0.871 0.005 0.049 0.008 0.006 0.004 0.005 0.002 0.037 0.013]
 [0.01  0.957 0.001 0.002 0.    0.001 0.    0.    0.002 0.027]
 [0.059 0.001 0.768 0.038 0.046 0.03  0.049 0.005 0.001 0.003]
 [0.024 0.002 0.095 0.642 0.039 0.125 0.043 0.016 0.004 0.01 ]
 [0.013 0.    0.071 0.031 0.806 0.013 0.026 0.039 0.001 0.   ]
 [0.01  0.001 0.07  0.119 0.036 0.709 0.008 0.046 0.    0.001]
 [0.007 0.    0.033 0.067 0.004 0.002 0.886 0.    0.001 0.   ]
 [0.02  0.001 0.077 0.054 0.035 0.039 0.004 0.766 0.003 0.001]
 [0.027 0.017 0.009 0.006 0.002 0.    0.001 0.    0.829 0.109]
 [0.016 0.041 0.004 0.005 0.    0.001 0.001 0.002 0.01  0.92 ]]
[2025-04-19 13:57:11,993 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 13:57:11,994 INFO] 56320 iteration, USE_EMA: True, train/sup_loss: 0.2983, train/aux_loss: 0.3018, train/total_loss: 0.6001, train/util_ratio: 0.7277, train/run_time: 0.1674, eval/loss: 0.7074, eval/top-1-acc: 0.8154, eval/top-5-acc: 0.9772, eval/balanced_acc: 0.8154, eval/precision: 0.8188, eval/recall: 0.8154, eval/F1: 0.8156, lr: 0.0287, train/prefecth_time: 0.0064 BEST_EVAL_ACC: 0.8156, at 55296 iters
[2025-04-19 13:59:03,563 INFO] select_ulb_dist:
[0.000e+00 0.000e+00 3.000e+00 6.600e+01 3.200e+02 7.880e+02 4.371e+03
 5.230e+02 2.312e+03 1.924e+03]
[2025-04-19 13:59:03,565 INFO] lb_select_ulb_dist:
[ 400.  239.  146.  152.  371.  818. 4389.  534. 2318. 1928.]
[2025-04-19 13:59:03,580 INFO] 55: Update the labeled data.
[2025-04-19 14:00:30,472 INFO] 56576 iteration USE_EMA: True, train/sup_loss: 0.2943, train/aux_loss: 0.3883, train/total_loss: 0.6827, train/util_ratio: 0.6585, train/run_time: 0.2560, lr: 0.0287, train/prefecth_time: 0.0114 
[2025-04-19 14:01:28,597 INFO] 56832 iteration USE_EMA: True, train/sup_loss: 0.2441, train/aux_loss: 0.3478, train/total_loss: 0.5919, train/util_ratio: 0.6853, train/run_time: 0.1430, lr: 0.0287, train/prefecth_time: 0.0903 
[2025-04-19 14:02:26,775 INFO] 57088 iteration USE_EMA: True, train/sup_loss: 0.1813, train/aux_loss: 0.4369, train/total_loss: 0.6182, train/util_ratio: 0.6228, train/run_time: 0.1584, lr: 0.0287, train/prefecth_time: 0.0929 
[2025-04-19 14:03:25,906 INFO] validating...
[2025-04-19 14:03:28,417 INFO] confusion matrix:
[[0.872 0.007 0.052 0.008 0.005 0.004 0.004 0.002 0.034 0.012]
 [0.01  0.958 0.001 0.003 0.    0.001 0.    0.    0.002 0.025]
 [0.059 0.    0.772 0.032 0.052 0.034 0.042 0.005 0.001 0.003]
 [0.024 0.002 0.097 0.626 0.038 0.138 0.047 0.015 0.004 0.009]
 [0.017 0.    0.074 0.024 0.804 0.022 0.022 0.037 0.    0.   ]
 [0.008 0.001 0.061 0.119 0.035 0.725 0.008 0.043 0.    0.   ]
 [0.007 0.    0.034 0.061 0.009 0.003 0.885 0.    0.001 0.   ]
 [0.015 0.001 0.055 0.058 0.031 0.046 0.007 0.784 0.002 0.001]
 [0.035 0.013 0.007 0.006 0.002 0.    0.001 0.    0.829 0.107]
 [0.022 0.041 0.005 0.012 0.    0.    0.001 0.    0.008 0.911]]
[2025-04-19 14:03:28,804 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 14:03:29,205 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 14:03:29,207 INFO] 57344 iteration, USE_EMA: True, train/sup_loss: 0.3463, train/aux_loss: 0.3824, train/total_loss: 0.7286, train/util_ratio: 0.6629, train/run_time: 0.2690, eval/loss: 0.6949, eval/top-1-acc: 0.8166, eval/top-5-acc: 0.9791, eval/balanced_acc: 0.8166, eval/precision: 0.8196, eval/recall: 0.8166, eval/F1: 0.8168, lr: 0.0287, train/prefecth_time: 0.0066 BEST_EVAL_ACC: 0.8166, at 57344 iters
[2025-04-19 14:04:29,129 INFO] 57600 iteration USE_EMA: True, train/sup_loss: 0.3140, train/aux_loss: 0.3384, train/total_loss: 0.6523, train/util_ratio: 0.7098, train/run_time: 0.1833, lr: 0.0286, train/prefecth_time: 0.0826 
[2025-04-19 14:05:27,898 INFO] 57856 iteration USE_EMA: True, train/sup_loss: 0.2472, train/aux_loss: 0.3442, train/total_loss: 0.5914, train/util_ratio: 0.7009, train/run_time: 0.1415, lr: 0.0286, train/prefecth_time: 0.0103 
[2025-04-19 14:06:26,520 INFO] 58112 iteration USE_EMA: True, train/sup_loss: 0.1450, train/aux_loss: 0.2952, train/total_loss: 0.4402, train/util_ratio: 0.7388, train/run_time: 0.1797, lr: 0.0286, train/prefecth_time: 0.0095 
[2025-04-19 14:07:25,017 INFO] validating...
[2025-04-19 14:07:28,030 INFO] confusion matrix:
[[0.882 0.005 0.039 0.006 0.006 0.004 0.005 0.003 0.038 0.012]
 [0.009 0.951 0.001 0.001 0.    0.002 0.    0.    0.004 0.032]
 [0.07  0.    0.742 0.03  0.052 0.038 0.059 0.006 0.001 0.002]
 [0.033 0.002 0.08  0.586 0.043 0.153 0.07  0.02  0.004 0.009]
 [0.015 0.    0.065 0.019 0.804 0.015 0.036 0.045 0.001 0.   ]
 [0.006 0.001 0.057 0.107 0.035 0.734 0.016 0.044 0.    0.   ]
 [0.007 0.    0.022 0.049 0.009 0.003 0.906 0.002 0.001 0.001]
 [0.016 0.001 0.04  0.049 0.038 0.044 0.009 0.797 0.005 0.001]
 [0.031 0.008 0.005 0.006 0.001 0.001 0.001 0.    0.839 0.108]
 [0.015 0.041 0.003 0.01  0.    0.002 0.001 0.    0.009 0.919]]
[2025-04-19 14:07:28,368 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 14:07:28,369 INFO] 58368 iteration, USE_EMA: True, train/sup_loss: 0.3291, train/aux_loss: 0.2078, train/total_loss: 0.5370, train/util_ratio: 0.7522, train/run_time: 0.1825, eval/loss: 0.6988, eval/top-1-acc: 0.8160, eval/top-5-acc: 0.9824, eval/balanced_acc: 0.8160, eval/precision: 0.8158, eval/recall: 0.8160, eval/F1: 0.8146, lr: 0.0286, train/prefecth_time: 0.0069 BEST_EVAL_ACC: 0.8166, at 57344 iters
[2025-04-19 14:08:29,822 INFO] 58624 iteration USE_EMA: True, train/sup_loss: 0.3119, train/aux_loss: 0.3313, train/total_loss: 0.6432, train/util_ratio: 0.7076, train/run_time: 0.1891, lr: 0.0286, train/prefecth_time: 0.0072 
[2025-04-19 14:09:29,320 INFO] 58880 iteration USE_EMA: True, train/sup_loss: 0.2191, train/aux_loss: 0.2312, train/total_loss: 0.4504, train/util_ratio: 0.7143, train/run_time: 0.2062, lr: 0.0286, train/prefecth_time: 0.0095 
[2025-04-19 14:10:29,463 INFO] 59136 iteration USE_EMA: True, train/sup_loss: 0.1474, train/aux_loss: 0.2699, train/total_loss: 0.4173, train/util_ratio: 0.7210, train/run_time: 0.1762, lr: 0.0286, train/prefecth_time: 0.0071 
[2025-04-19 14:11:28,155 INFO] validating...
[2025-04-19 14:11:30,858 INFO] confusion matrix:
[[0.89  0.005 0.03  0.004 0.007 0.004 0.004 0.002 0.042 0.012]
 [0.011 0.946 0.002 0.001 0.    0.001 0.    0.    0.004 0.035]
 [0.077 0.    0.698 0.031 0.054 0.053 0.075 0.007 0.003 0.002]
 [0.028 0.002 0.062 0.587 0.044 0.165 0.074 0.02  0.006 0.012]
 [0.013 0.    0.05  0.023 0.808 0.019 0.037 0.046 0.004 0.   ]
 [0.008 0.    0.046 0.107 0.036 0.743 0.014 0.045 0.    0.001]
 [0.007 0.    0.019 0.041 0.006 0.003 0.92  0.002 0.001 0.001]
 [0.016 0.001 0.036 0.046 0.04  0.049 0.01  0.795 0.006 0.001]
 [0.025 0.009 0.005 0.007 0.001 0.    0.001 0.    0.854 0.098]
 [0.017 0.028 0.002 0.009 0.    0.002 0.001 0.003 0.009 0.929]]
[2025-04-19 14:11:31,233 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 14:11:31,640 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 14:11:31,641 INFO] 59392 iteration, USE_EMA: True, train/sup_loss: 0.3269, train/aux_loss: 0.2947, train/total_loss: 0.6216, train/util_ratio: 0.7143, train/run_time: 0.2312, eval/loss: 0.6877, eval/top-1-acc: 0.8170, eval/top-5-acc: 0.9817, eval/balanced_acc: 0.8170, eval/precision: 0.8161, eval/recall: 0.8170, eval/F1: 0.8152, lr: 0.0286, train/prefecth_time: 0.0057 BEST_EVAL_ACC: 0.8170, at 59392 iters
[2025-04-19 14:12:31,759 INFO] 59648 iteration USE_EMA: True, train/sup_loss: 0.3402, train/aux_loss: 0.6148, train/total_loss: 0.9550, train/util_ratio: 0.5201, train/run_time: 0.1684, lr: 0.0285, train/prefecth_time: 0.0908 
[2025-04-19 14:13:28,702 INFO] 59904 iteration USE_EMA: True, train/sup_loss: 0.2530, train/aux_loss: 0.3827, train/total_loss: 0.6358, train/util_ratio: 0.6518, train/run_time: 0.1456, lr: 0.0285, train/prefecth_time: 0.0069 
[2025-04-19 14:14:26,785 INFO] 60160 iteration USE_EMA: True, train/sup_loss: 0.1705, train/aux_loss: 0.3809, train/total_loss: 0.5514, train/util_ratio: 0.6272, train/run_time: 0.1512, lr: 0.0285, train/prefecth_time: 0.0099 
[2025-04-19 14:15:23,930 INFO] validating...
[2025-04-19 14:15:26,663 INFO] confusion matrix:
[[0.878 0.007 0.041 0.005 0.003 0.004 0.006 0.003 0.036 0.017]
 [0.011 0.948 0.002 0.001 0.    0.002 0.    0.    0.004 0.032]
 [0.059 0.    0.742 0.026 0.051 0.046 0.069 0.004 0.    0.003]
 [0.027 0.002 0.085 0.589 0.039 0.155 0.074 0.017 0.004 0.008]
 [0.012 0.    0.075 0.022 0.798 0.014 0.036 0.041 0.001 0.001]
 [0.006 0.001 0.057 0.108 0.029 0.74  0.014 0.045 0.    0.   ]
 [0.005 0.    0.019 0.051 0.008 0.003 0.911 0.001 0.001 0.001]
 [0.012 0.001 0.052 0.06  0.037 0.047 0.008 0.776 0.004 0.003]
 [0.031 0.011 0.006 0.007 0.001 0.    0.001 0.    0.834 0.109]
 [0.018 0.038 0.005 0.01  0.    0.001 0.001 0.    0.007 0.92 ]]
[2025-04-19 14:15:27,083 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 14:15:27,084 INFO] 60416 iteration, USE_EMA: True, train/sup_loss: 0.3321, train/aux_loss: 0.3275, train/total_loss: 0.6595, train/util_ratio: 0.7054, train/run_time: 0.1772, eval/loss: 0.6990, eval/top-1-acc: 0.8136, eval/top-5-acc: 0.9826, eval/balanced_acc: 0.8136, eval/precision: 0.8147, eval/recall: 0.8136, eval/F1: 0.8126, lr: 0.0285, train/prefecth_time: 0.0885 BEST_EVAL_ACC: 0.8170, at 59392 iters
[2025-04-19 14:19:02,921 INFO] 60672 iteration USE_EMA: True, train/sup_loss: 0.2800, train/aux_loss: 0.3018, train/total_loss: 0.5818, train/util_ratio: 0.7232, train/run_time: 0.2201, lr: 0.0285, train/prefecth_time: 0.0351 
[2025-04-19 14:22:38,555 INFO] 60928 iteration USE_EMA: True, train/sup_loss: 0.2498, train/aux_loss: 0.2989, train/total_loss: 0.5486, train/util_ratio: 0.7098, train/run_time: 1.0644, lr: 0.0285, train/prefecth_time: 0.0065 
[2025-04-19 14:29:54,684 INFO] 61184 iteration USE_EMA: True, train/sup_loss: 0.1426, train/aux_loss: 0.2269, train/total_loss: 0.3695, train/util_ratio: 0.7388, train/run_time: 1.8134, lr: 0.0285, train/prefecth_time: 0.0046 
[2025-04-19 14:37:54,174 INFO] validating...
[2025-04-19 14:37:57,354 INFO] confusion matrix:
[[0.883 0.006 0.036 0.004 0.005 0.004 0.004 0.004 0.036 0.018]
 [0.01  0.944 0.002 0.002 0.    0.002 0.    0.    0.005 0.035]
 [0.07  0.    0.715 0.028 0.053 0.05  0.076 0.006 0.    0.002]
 [0.032 0.002 0.069 0.591 0.046 0.161 0.066 0.019 0.005 0.009]
 [0.014 0.    0.062 0.022 0.804 0.022 0.034 0.039 0.002 0.001]
 [0.007 0.001 0.042 0.104 0.035 0.746 0.016 0.048 0.    0.001]
 [0.005 0.    0.014 0.049 0.008 0.002 0.919 0.001 0.001 0.001]
 [0.012 0.001 0.045 0.062 0.034 0.048 0.01  0.782 0.004 0.002]
 [0.029 0.012 0.006 0.004 0.001 0.001 0.001 0.    0.837 0.109]
 [0.015 0.033 0.004 0.009 0.    0.001 0.001 0.002 0.008 0.927]]
[2025-04-19 14:37:58,143 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 14:37:58,144 INFO] 61440 iteration, USE_EMA: True, train/sup_loss: 0.3176, train/aux_loss: 0.2203, train/total_loss: 0.5379, train/util_ratio: 0.7946, train/run_time: 1.8626, eval/loss: 0.6963, eval/top-1-acc: 0.8148, eval/top-5-acc: 0.9815, eval/balanced_acc: 0.8148, eval/precision: 0.8148, eval/recall: 0.8148, eval/F1: 0.8134, lr: 0.0285, train/prefecth_time: 0.0089 BEST_EVAL_ACC: 0.8170, at 59392 iters
[2025-04-19 14:40:09,727 INFO] select_ulb_dist:
[0.000e+00 1.000e+00 1.000e+01 8.400e+01 3.310e+02 8.230e+02 4.402e+03
 5.470e+02 2.337e+03 1.943e+03]
[2025-04-19 14:40:09,740 INFO] lb_select_ulb_dist:
[ 400.  240.  153.  170.  382.  853. 4420.  558. 2343. 1947.]
[2025-04-19 14:40:09,753 INFO] 60: Update the labeled data.
[2025-04-19 14:49:30,555 INFO] 61696 iteration USE_EMA: True, train/sup_loss: 0.4686, train/aux_loss: 0.8264, train/total_loss: 1.2951, train/util_ratio: 0.5469, train/run_time: 1.7541, lr: 0.0284, train/prefecth_time: 0.0089 
[2025-04-19 14:57:21,470 INFO] 61952 iteration USE_EMA: True, train/sup_loss: 0.3075, train/aux_loss: 0.4179, train/total_loss: 0.7253, train/util_ratio: 0.6429, train/run_time: 1.9399, lr: 0.0284, train/prefecth_time: 0.0095 
[2025-04-19 15:05:10,892 INFO] 62208 iteration USE_EMA: True, train/sup_loss: 0.2491, train/aux_loss: 0.3975, train/total_loss: 0.6467, train/util_ratio: 0.7098, train/run_time: 1.7998, lr: 0.0284, train/prefecth_time: 0.0045 
[2025-04-19 15:13:07,339 INFO] validating...
[2025-04-19 15:13:10,371 INFO] confusion matrix:
[[0.869 0.007 0.038 0.006 0.007 0.004 0.006 0.004 0.039 0.02 ]
 [0.008 0.945 0.002 0.003 0.    0.002 0.    0.    0.005 0.035]
 [0.074 0.001 0.74  0.028 0.054 0.045 0.047 0.006 0.002 0.003]
 [0.027 0.002 0.082 0.597 0.047 0.163 0.05  0.02  0.004 0.008]
 [0.013 0.    0.062 0.029 0.804 0.018 0.031 0.04  0.003 0.   ]
 [0.007 0.001 0.05  0.107 0.038 0.738 0.012 0.047 0.    0.   ]
 [0.008 0.    0.021 0.056 0.008 0.002 0.902 0.001 0.001 0.001]
 [0.011 0.001 0.05  0.047 0.039 0.048 0.007 0.792 0.004 0.001]
 [0.029 0.009 0.003 0.006 0.001 0.    0.001 0.    0.845 0.106]
 [0.015 0.04  0.003 0.005 0.    0.001 0.001 0.001 0.008 0.926]]
[2025-04-19 15:13:10,771 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 15:13:10,772 INFO] 62464 iteration, USE_EMA: True, train/sup_loss: 0.1824, train/aux_loss: 0.4245, train/total_loss: 0.6070, train/util_ratio: 0.6540, train/run_time: 2.2398, eval/loss: 0.7021, eval/top-1-acc: 0.8158, eval/top-5-acc: 0.9827, eval/balanced_acc: 0.8158, eval/precision: 0.8158, eval/recall: 0.8158, eval/F1: 0.8148, lr: 0.0284, train/prefecth_time: 0.0092 BEST_EVAL_ACC: 0.8170, at 59392 iters
[2025-04-19 15:21:12,351 INFO] 62720 iteration USE_EMA: True, train/sup_loss: 0.2096, train/aux_loss: 0.3060, train/total_loss: 0.5156, train/util_ratio: 0.7478, train/run_time: 2.0599, lr: 0.0284, train/prefecth_time: 0.0045 
[2025-04-19 15:28:14,915 INFO] 62976 iteration USE_EMA: True, train/sup_loss: 0.2587, train/aux_loss: 0.2797, train/total_loss: 0.5385, train/util_ratio: 0.7500, train/run_time: 1.2265, lr: 0.0284, train/prefecth_time: 0.0045 
[2025-04-19 15:34:23,124 INFO] 63232 iteration USE_EMA: True, train/sup_loss: 0.1433, train/aux_loss: 0.2561, train/total_loss: 0.3994, train/util_ratio: 0.7634, train/run_time: 1.5976, lr: 0.0284, train/prefecth_time: 0.0045 
[2025-04-19 15:40:20,894 INFO] validating...
[2025-04-19 15:40:23,697 INFO] confusion matrix:
[[0.872 0.006 0.037 0.005 0.007 0.005 0.006 0.003 0.04  0.019]
 [0.009 0.942 0.003 0.003 0.    0.002 0.001 0.    0.004 0.036]
 [0.074 0.    0.714 0.026 0.057 0.055 0.059 0.007 0.003 0.005]
 [0.027 0.002 0.079 0.551 0.046 0.193 0.062 0.025 0.005 0.01 ]
 [0.012 0.    0.057 0.023 0.809 0.02  0.035 0.041 0.002 0.001]
 [0.007 0.001 0.048 0.096 0.033 0.753 0.011 0.05  0.    0.001]
 [0.008 0.    0.016 0.051 0.009 0.003 0.91  0.001 0.001 0.001]
 [0.012 0.001 0.041 0.034 0.036 0.054 0.007 0.811 0.003 0.001]
 [0.024 0.01  0.003 0.005 0.001 0.001 0.001 0.    0.846 0.109]
 [0.013 0.034 0.002 0.005 0.    0.001 0.001 0.002 0.009 0.933]]
[2025-04-19 15:40:26,656 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 15:40:26,658 INFO] 63488 iteration, USE_EMA: True, train/sup_loss: 0.1580, train/aux_loss: 0.2705, train/total_loss: 0.4285, train/util_ratio: 0.7768, train/run_time: 1.9686, eval/loss: 0.7155, eval/top-1-acc: 0.8141, eval/top-5-acc: 0.9836, eval/balanced_acc: 0.8141, eval/precision: 0.8135, eval/recall: 0.8141, eval/F1: 0.8121, lr: 0.0284, train/prefecth_time: 0.0046 BEST_EVAL_ACC: 0.8170, at 59392 iters
[2025-04-19 15:46:49,459 INFO] 63744 iteration USE_EMA: True, train/sup_loss: 0.2842, train/aux_loss: 0.4361, train/total_loss: 0.7203, train/util_ratio: 0.6964, train/run_time: 1.1542, lr: 0.0283, train/prefecth_time: 0.0064 
[2025-04-19 15:52:06,343 INFO] 64000 iteration USE_EMA: True, train/sup_loss: 0.3049, train/aux_loss: 0.4836, train/total_loss: 0.7885, train/util_ratio: 0.6138, train/run_time: 1.3492, lr: 0.0283, train/prefecth_time: 0.0082 
[2025-04-19 15:57:24,722 INFO] 64256 iteration USE_EMA: True, train/sup_loss: 0.1686, train/aux_loss: 0.3999, train/total_loss: 0.5685, train/util_ratio: 0.6272, train/run_time: 1.0065, lr: 0.0283, train/prefecth_time: 0.0064 
[2025-04-19 16:02:45,073 INFO] validating...
[2025-04-19 16:02:49,060 INFO] confusion matrix:
[[0.885 0.006 0.042 0.002 0.006 0.004 0.006 0.004 0.031 0.014]
 [0.011 0.947 0.002 0.002 0.    0.002 0.001 0.    0.003 0.032]
 [0.073 0.    0.725 0.026 0.052 0.051 0.063 0.005 0.001 0.004]
 [0.033 0.002 0.089 0.552 0.038 0.179 0.07  0.023 0.004 0.01 ]
 [0.013 0.    0.068 0.021 0.802 0.021 0.033 0.04  0.001 0.001]
 [0.006 0.001 0.05  0.09  0.035 0.756 0.016 0.045 0.    0.001]
 [0.007 0.    0.02  0.047 0.006 0.002 0.914 0.001 0.001 0.002]
 [0.011 0.002 0.047 0.032 0.04  0.053 0.008 0.804 0.002 0.001]
 [0.026 0.009 0.006 0.006 0.002 0.    0.001 0.    0.848 0.102]
 [0.013 0.042 0.003 0.007 0.    0.    0.001 0.003 0.009 0.922]]
[2025-04-19 16:02:49,457 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 16:02:49,458 INFO] 64512 iteration, USE_EMA: True, train/sup_loss: 0.1633, train/aux_loss: 0.4346, train/total_loss: 0.5978, train/util_ratio: 0.6830, train/run_time: 1.5040, eval/loss: 0.7187, eval/top-1-acc: 0.8155, eval/top-5-acc: 0.9818, eval/balanced_acc: 0.8155, eval/precision: 0.8157, eval/recall: 0.8155, eval/F1: 0.8136, lr: 0.0283, train/prefecth_time: 0.0045 BEST_EVAL_ACC: 0.8170, at 59392 iters
[2025-04-19 16:08:12,156 INFO] 64768 iteration USE_EMA: True, train/sup_loss: 0.1879, train/aux_loss: 0.3370, train/total_loss: 0.5249, train/util_ratio: 0.7478, train/run_time: 1.1521, lr: 0.0283, train/prefecth_time: 0.0069 
[2025-04-19 16:13:31,539 INFO] 65024 iteration USE_EMA: True, train/sup_loss: 0.2805, train/aux_loss: 0.3644, train/total_loss: 0.6449, train/util_ratio: 0.7121, train/run_time: 1.3228, lr: 0.0283, train/prefecth_time: 0.0065 
[2025-04-19 16:18:47,200 INFO] 65280 iteration USE_EMA: True, train/sup_loss: 0.1972, train/aux_loss: 0.3315, train/total_loss: 0.5287, train/util_ratio: 0.7388, train/run_time: 1.3541, lr: 0.0283, train/prefecth_time: 0.0064 
[2025-04-19 16:24:01,377 INFO] validating...
[2025-04-19 16:24:04,299 INFO] confusion matrix:
[[0.878 0.007 0.043 0.004 0.005 0.004 0.005 0.005 0.035 0.014]
 [0.009 0.95  0.001 0.001 0.    0.002 0.001 0.    0.004 0.032]
 [0.065 0.001 0.739 0.03  0.055 0.046 0.055 0.005 0.002 0.002]
 [0.029 0.002 0.08  0.561 0.042 0.184 0.067 0.024 0.004 0.007]
 [0.013 0.    0.066 0.022 0.806 0.021 0.034 0.036 0.002 0.   ]
 [0.007 0.001 0.051 0.096 0.033 0.746 0.016 0.049 0.    0.001]
 [0.008 0.    0.022 0.038 0.006 0.001 0.922 0.001 0.001 0.001]
 [0.013 0.003 0.04  0.036 0.04  0.05  0.008 0.806 0.003 0.001]
 [0.023 0.011 0.005 0.005 0.002 0.    0.002 0.    0.853 0.099]
 [0.012 0.036 0.003 0.004 0.    0.001 0.001 0.003 0.009 0.931]]
[2025-04-19 16:24:04,968 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 16:24:05,576 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 16:24:05,576 INFO] 65536 iteration, USE_EMA: True, train/sup_loss: 0.1594, train/aux_loss: 0.3138, train/total_loss: 0.4732, train/util_ratio: 0.7589, train/run_time: 1.5153, eval/loss: 0.7212, eval/top-1-acc: 0.8192, eval/top-5-acc: 0.9823, eval/balanced_acc: 0.8192, eval/precision: 0.8188, eval/recall: 0.8192, eval/F1: 0.8173, lr: 0.0282, train/prefecth_time: 0.0064 BEST_EVAL_ACC: 0.8192, at 65536 iters
[2025-04-19 16:29:34,543 INFO] 65792 iteration USE_EMA: True, train/sup_loss: 0.1743, train/aux_loss: 0.2868, train/total_loss: 0.4611, train/util_ratio: 0.7746, train/run_time: 1.1645, lr: 0.0282, train/prefecth_time: 0.0044 
[2025-04-19 16:35:04,357 INFO] 66048 iteration USE_EMA: True, train/sup_loss: 0.3802, train/aux_loss: 0.5969, train/total_loss: 0.9771, train/util_ratio: 0.5982, train/run_time: 1.1372, lr: 0.0282, train/prefecth_time: 0.0086 
[2025-04-19 16:40:33,695 INFO] 66304 iteration USE_EMA: True, train/sup_loss: 0.1466, train/aux_loss: 0.3960, train/total_loss: 0.5426, train/util_ratio: 0.6853, train/run_time: 1.1194, lr: 0.0282, train/prefecth_time: 0.0065 
[2025-04-19 16:48:24,698 INFO] validating...
[2025-04-19 16:48:27,467 INFO] confusion matrix:
[[0.885 0.003 0.04  0.003 0.004 0.005 0.003 0.004 0.039 0.014]
 [0.009 0.949 0.001 0.002 0.    0.002 0.    0.    0.005 0.032]
 [0.067 0.001 0.744 0.028 0.051 0.048 0.05  0.006 0.003 0.002]
 [0.03  0.003 0.09  0.563 0.041 0.175 0.062 0.022 0.005 0.009]
 [0.014 0.    0.078 0.024 0.79  0.022 0.031 0.039 0.002 0.   ]
 [0.007 0.001 0.057 0.097 0.027 0.75  0.016 0.044 0.    0.001]
 [0.007 0.    0.022 0.048 0.008 0.001 0.91  0.001 0.001 0.002]
 [0.01  0.003 0.045 0.04  0.04  0.054 0.007 0.797 0.003 0.001]
 [0.023 0.01  0.007 0.006 0.001 0.    0.002 0.    0.853 0.098]
 [0.013 0.033 0.002 0.007 0.001 0.001 0.001 0.002 0.008 0.932]]
[2025-04-19 16:48:27,821 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 16:48:27,823 INFO] 66560 iteration, USE_EMA: True, train/sup_loss: 0.1909, train/aux_loss: 0.4219, train/total_loss: 0.6129, train/util_ratio: 0.6339, train/run_time: 2.3227, eval/loss: 0.7206, eval/top-1-acc: 0.8173, eval/top-5-acc: 0.9829, eval/balanced_acc: 0.8173, eval/precision: 0.8174, eval/recall: 0.8173, eval/F1: 0.8158, lr: 0.0282, train/prefecth_time: 0.0067 BEST_EVAL_ACC: 0.8192, at 65536 iters
[2025-04-19 16:50:47,670 INFO] select_ulb_dist:
[   0.    0.    0.  120.  337.  856. 4427.  565. 2357. 1955.]
[2025-04-19 16:50:47,673 INFO] lb_select_ulb_dist:
[ 400.  239.  143.  206.  388.  886. 4445.  576. 2363. 1959.]
[2025-04-19 16:50:47,681 INFO] 65: Update the labeled data.
[2025-04-19 16:52:45,200 INFO] 66816 iteration USE_EMA: True, train/sup_loss: 0.2966, train/aux_loss: 0.3786, train/total_loss: 0.6751, train/util_ratio: 0.6585, train/run_time: 0.1669, lr: 0.0282, train/prefecth_time: 0.0059 
[2025-04-19 16:53:57,360 INFO] 67072 iteration USE_EMA: True, train/sup_loss: 0.3221, train/aux_loss: 0.5402, train/total_loss: 0.8624, train/util_ratio: 0.5580, train/run_time: 0.3322, lr: 0.0282, train/prefecth_time: 0.0083 
[2025-04-19 16:55:06,620 INFO] 67328 iteration USE_EMA: True, train/sup_loss: 0.1788, train/aux_loss: 0.2544, train/total_loss: 0.4332, train/util_ratio: 0.7188, train/run_time: 0.2950, lr: 0.0282, train/prefecth_time: 0.0091 
[2025-04-19 16:56:55,674 INFO] validating...
[2025-04-19 16:56:58,615 INFO] confusion matrix:
[[0.878 0.002 0.043 0.004 0.005 0.004 0.003 0.006 0.042 0.013]
 [0.013 0.939 0.001 0.002 0.    0.002 0.001 0.    0.005 0.037]
 [0.064 0.001 0.752 0.026 0.054 0.038 0.051 0.005 0.004 0.005]
 [0.027 0.002 0.097 0.573 0.044 0.162 0.059 0.022 0.005 0.009]
 [0.013 0.    0.069 0.021 0.814 0.014 0.028 0.038 0.002 0.001]
 [0.004 0.001 0.065 0.103 0.03  0.738 0.013 0.042 0.001 0.003]
 [0.005 0.    0.023 0.05  0.01  0.002 0.908 0.001 0.001 0.   ]
 [0.01  0.001 0.049 0.039 0.039 0.043 0.006 0.809 0.004 0.   ]
 [0.02  0.007 0.004 0.006 0.002 0.    0.002 0.    0.86  0.099]
 [0.012 0.033 0.003 0.005 0.001 0.001 0.001 0.002 0.015 0.927]]
[2025-04-19 16:56:59,791 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 16:57:01,752 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 16:57:01,753 INFO] 67584 iteration, USE_EMA: True, train/sup_loss: 0.0831, train/aux_loss: 0.2059, train/total_loss: 0.2890, train/util_ratio: 0.7679, train/run_time: 0.1542, eval/loss: 0.6932, eval/top-1-acc: 0.8198, eval/top-5-acc: 0.9839, eval/balanced_acc: 0.8198, eval/precision: 0.8198, eval/recall: 0.8198, eval/F1: 0.8185, lr: 0.0281, train/prefecth_time: 0.0054 BEST_EVAL_ACC: 0.8198, at 67584 iters
[2025-04-19 16:58:35,596 INFO] 67840 iteration USE_EMA: True, train/sup_loss: 0.2064, train/aux_loss: 0.1968, train/total_loss: 0.4033, train/util_ratio: 0.7701, train/run_time: 1.3827, lr: 0.0281, train/prefecth_time: 0.0045 
[2025-04-19 17:05:48,601 INFO] 68096 iteration USE_EMA: True, train/sup_loss: 0.1769, train/aux_loss: 0.1959, train/total_loss: 0.3729, train/util_ratio: 0.7857, train/run_time: 1.4097, lr: 0.0281, train/prefecth_time: 0.0069 
[2025-04-19 17:13:04,626 INFO] 68352 iteration USE_EMA: True, train/sup_loss: 0.1920, train/aux_loss: 0.2762, train/total_loss: 0.4682, train/util_ratio: 0.7076, train/run_time: 1.8908, lr: 0.0281, train/prefecth_time: 0.0045 
[2025-04-19 17:15:28,123 INFO] validating...
[2025-04-19 17:15:30,955 INFO] confusion matrix:
[[0.878 0.002 0.036 0.004 0.01  0.005 0.004 0.005 0.045 0.011]
 [0.009 0.944 0.005 0.001 0.    0.002 0.002 0.    0.006 0.031]
 [0.069 0.001 0.718 0.027 0.059 0.047 0.066 0.006 0.003 0.004]
 [0.026 0.003 0.075 0.573 0.043 0.18  0.066 0.021 0.004 0.009]
 [0.016 0.001 0.056 0.019 0.811 0.017 0.035 0.043 0.002 0.   ]
 [0.006 0.001 0.049 0.098 0.03  0.755 0.015 0.045 0.    0.001]
 [0.006 0.    0.016 0.046 0.008 0.002 0.92  0.001 0.001 0.   ]
 [0.011 0.001 0.036 0.035 0.042 0.053 0.007 0.811 0.004 0.   ]
 [0.019 0.01  0.005 0.006 0.002 0.    0.002 0.    0.857 0.099]
 [0.011 0.04  0.002 0.006 0.001 0.001 0.001 0.003 0.011 0.924]]
[2025-04-19 17:15:31,821 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 17:15:31,823 INFO] 68608 iteration, USE_EMA: True, train/sup_loss: 0.2927, train/aux_loss: 0.6284, train/total_loss: 0.9210, train/util_ratio: 0.5960, train/run_time: 0.5631, eval/loss: 0.6915, eval/top-1-acc: 0.8191, eval/top-5-acc: 0.9841, eval/balanced_acc: 0.8191, eval/precision: 0.8181, eval/recall: 0.8191, eval/F1: 0.8172, lr: 0.0281, train/prefecth_time: 0.0044 BEST_EVAL_ACC: 0.8198, at 67584 iters
[2025-04-19 17:16:51,742 INFO] 68864 iteration USE_EMA: True, train/sup_loss: 0.2911, train/aux_loss: 0.4227, train/total_loss: 0.7138, train/util_ratio: 0.6763, train/run_time: 0.4290, lr: 0.0281, train/prefecth_time: 0.0094 
[2025-04-19 17:18:13,504 INFO] 69120 iteration USE_EMA: True, train/sup_loss: 0.3095, train/aux_loss: 0.6201, train/total_loss: 0.9296, train/util_ratio: 0.6027, train/run_time: 0.1532, lr: 0.0281, train/prefecth_time: 0.0113 
[2025-04-19 17:19:36,905 INFO] 69376 iteration USE_EMA: True, train/sup_loss: 0.1795, train/aux_loss: 0.3174, train/total_loss: 0.4968, train/util_ratio: 0.6987, train/run_time: 0.2996, lr: 0.0280, train/prefecth_time: 0.0087 
[2025-04-19 17:20:59,856 INFO] validating...
[2025-04-19 17:21:02,602 INFO] confusion matrix:
[[0.886 0.004 0.039 0.003 0.006 0.005 0.006 0.004 0.033 0.014]
 [0.008 0.946 0.004 0.001 0.    0.002 0.003 0.    0.004 0.032]
 [0.069 0.001 0.742 0.026 0.052 0.041 0.056 0.007 0.003 0.003]
 [0.027 0.003 0.086 0.561 0.042 0.178 0.069 0.018 0.005 0.011]
 [0.016 0.    0.065 0.02  0.812 0.017 0.029 0.039 0.002 0.   ]
 [0.006 0.001 0.056 0.097 0.031 0.751 0.013 0.044 0.    0.001]
 [0.005 0.    0.019 0.047 0.01  0.002 0.914 0.002 0.001 0.   ]
 [0.011 0.002 0.048 0.033 0.042 0.043 0.008 0.809 0.002 0.002]
 [0.022 0.009 0.003 0.005 0.002 0.    0.002 0.    0.854 0.103]
 [0.012 0.04  0.002 0.006 0.001 0.001 0.002 0.002 0.01  0.924]]
[2025-04-19 17:21:03,314 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 17:21:04,076 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 17:21:04,077 INFO] 69632 iteration, USE_EMA: True, train/sup_loss: 0.0790, train/aux_loss: 0.2732, train/total_loss: 0.3522, train/util_ratio: 0.7277, train/run_time: 0.3568, eval/loss: 0.6979, eval/top-1-acc: 0.8199, eval/top-5-acc: 0.9836, eval/balanced_acc: 0.8199, eval/precision: 0.8196, eval/recall: 0.8199, eval/F1: 0.8181, lr: 0.0280, train/prefecth_time: 0.0066 BEST_EVAL_ACC: 0.8199, at 69632 iters
[2025-04-19 17:22:27,981 INFO] 69888 iteration USE_EMA: True, train/sup_loss: 0.2115, train/aux_loss: 0.2295, train/total_loss: 0.4409, train/util_ratio: 0.7879, train/run_time: 0.1781, lr: 0.0280, train/prefecth_time: 0.0080 
[2025-04-19 17:23:50,152 INFO] 70144 iteration USE_EMA: True, train/sup_loss: 0.1760, train/aux_loss: 0.1971, train/total_loss: 0.3731, train/util_ratio: 0.7455, train/run_time: 0.3497, lr: 0.0280, train/prefecth_time: 0.0066 
[2025-04-19 17:25:38,551 INFO] 70400 iteration USE_EMA: True, train/sup_loss: 0.1703, train/aux_loss: 0.1655, train/total_loss: 0.3358, train/util_ratio: 0.7835, train/run_time: 1.8720, lr: 0.0280, train/prefecth_time: 0.0073 
[2025-04-19 17:29:43,843 INFO] validating...
[2025-04-19 17:29:47,058 INFO] confusion matrix:
[[0.887 0.004 0.033 0.003 0.006 0.005 0.007 0.003 0.04  0.012]
 [0.008 0.94  0.003 0.    0.    0.002 0.004 0.    0.008 0.035]
 [0.07  0.    0.713 0.021 0.06  0.053 0.068 0.01  0.003 0.002]
 [0.025 0.005 0.076 0.543 0.041 0.199 0.081 0.019 0.003 0.008]
 [0.02  0.    0.053 0.018 0.808 0.022 0.03  0.047 0.002 0.   ]
 [0.007 0.001 0.041 0.092 0.033 0.762 0.017 0.046 0.    0.001]
 [0.005 0.    0.013 0.042 0.009 0.002 0.925 0.003 0.001 0.   ]
 [0.012 0.001 0.03  0.025 0.042 0.054 0.007 0.823 0.005 0.001]
 [0.019 0.01  0.004 0.006 0.002 0.    0.002 0.    0.857 0.1  ]
 [0.012 0.027 0.002 0.005 0.001 0.001 0.001 0.001 0.008 0.942]]
[2025-04-19 17:29:47,411 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 17:29:47,905 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 17:29:47,906 INFO] 70656 iteration, USE_EMA: True, train/sup_loss: 0.0857, train/aux_loss: 0.2237, train/total_loss: 0.3094, train/util_ratio: 0.6763, train/run_time: 0.3930, eval/loss: 0.6850, eval/top-1-acc: 0.8200, eval/top-5-acc: 0.9826, eval/balanced_acc: 0.8200, eval/precision: 0.8194, eval/recall: 0.8200, eval/F1: 0.8174, lr: 0.0280, train/prefecth_time: 0.0087 BEST_EVAL_ACC: 0.8200, at 70656 iters
[2025-04-19 17:33:57,070 INFO] 70912 iteration USE_EMA: True, train/sup_loss: 0.2019, train/aux_loss: 0.1994, train/total_loss: 0.4013, train/util_ratio: 0.7902, train/run_time: 0.4033, lr: 0.0280, train/prefecth_time: 0.0081 
[2025-04-19 17:35:20,333 INFO] 71168 iteration USE_EMA: True, train/sup_loss: 0.1785, train/aux_loss: 0.2148, train/total_loss: 0.3932, train/util_ratio: 0.7746, train/run_time: 0.3046, lr: 0.0279, train/prefecth_time: 0.0087 
[2025-04-19 17:40:26,373 INFO] 71424 iteration USE_EMA: True, train/sup_loss: 0.1997, train/aux_loss: 0.4129, train/total_loss: 0.6126, train/util_ratio: 0.6272, train/run_time: 0.1529, lr: 0.0279, train/prefecth_time: 0.0088 
[2025-04-19 17:41:29,708 INFO] validating...
[2025-04-19 17:41:32,379 INFO] confusion matrix:
[[0.879 0.003 0.041 0.003 0.004 0.005 0.006 0.002 0.04  0.017]
 [0.01  0.937 0.001 0.001 0.    0.002 0.005 0.    0.006 0.038]
 [0.062 0.    0.72  0.025 0.057 0.051 0.073 0.007 0.003 0.002]
 [0.03  0.002 0.079 0.542 0.045 0.187 0.083 0.019 0.005 0.008]
 [0.018 0.    0.054 0.016 0.819 0.021 0.03  0.038 0.003 0.001]
 [0.006 0.001 0.048 0.087 0.034 0.755 0.021 0.047 0.    0.001]
 [0.005 0.    0.012 0.04  0.009 0.002 0.929 0.002 0.001 0.   ]
 [0.011 0.002 0.038 0.034 0.042 0.048 0.007 0.814 0.003 0.001]
 [0.018 0.008 0.008 0.004 0.001 0.    0.003 0.    0.857 0.101]
 [0.012 0.028 0.004 0.007 0.001 0.001 0.001 0.001 0.011 0.934]]
[2025-04-19 17:41:33,055 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 17:41:33,056 INFO] 71680 iteration, USE_EMA: True, train/sup_loss: 0.1682, train/aux_loss: 0.6615, train/total_loss: 0.8297, train/util_ratio: 0.5268, train/run_time: 0.1558, eval/loss: 0.6707, eval/top-1-acc: 0.8186, eval/top-5-acc: 0.9842, eval/balanced_acc: 0.8186, eval/precision: 0.8182, eval/recall: 0.8186, eval/F1: 0.8162, lr: 0.0279, train/prefecth_time: 0.0049 BEST_EVAL_ACC: 0.8200, at 70656 iters
[2025-04-19 17:43:44,342 INFO] select_ulb_dist:
[1.000e+00 3.800e+01 3.400e+01 1.520e+02 3.380e+02 8.700e+02 4.437e+03
 5.750e+02 2.360e+03 1.961e+03]
[2025-04-19 17:43:44,343 INFO] lb_select_ulb_dist:
[ 401.  277.  177.  238.  389.  900. 4455.  586. 2366. 1965.]
[2025-04-19 17:43:44,350 INFO] 70: Update the labeled data.
[2025-04-19 17:45:13,646 INFO] 71936 iteration USE_EMA: True, train/sup_loss: 0.3601, train/aux_loss: 0.5420, train/total_loss: 0.9022, train/util_ratio: 0.6451, train/run_time: 0.1668, lr: 0.0279, train/prefecth_time: 0.0601 
[2025-04-19 17:46:13,816 INFO] 72192 iteration USE_EMA: True, train/sup_loss: 0.1400, train/aux_loss: 0.3823, train/total_loss: 0.5223, train/util_ratio: 0.6741, train/run_time: 0.1458, lr: 0.0279, train/prefecth_time: 0.0092 
[2025-04-19 17:47:20,270 INFO] 72448 iteration USE_EMA: True, train/sup_loss: 0.2571, train/aux_loss: 0.3896, train/total_loss: 0.6467, train/util_ratio: 0.6808, train/run_time: 0.1721, lr: 0.0279, train/prefecth_time: 0.0226 
[2025-04-19 17:48:28,636 INFO] validating...
[2025-04-19 17:48:31,580 INFO] confusion matrix:
[[0.868 0.002 0.031 0.002 0.01  0.006 0.005 0.006 0.053 0.017]
 [0.01  0.93  0.002 0.    0.001 0.003 0.004 0.    0.015 0.035]
 [0.061 0.    0.729 0.023 0.072 0.042 0.06  0.007 0.004 0.002]
 [0.022 0.002 0.081 0.54  0.057 0.196 0.07  0.017 0.007 0.008]
 [0.017 0.    0.056 0.012 0.831 0.015 0.027 0.039 0.002 0.001]
 [0.007 0.    0.054 0.084 0.036 0.756 0.015 0.047 0.    0.001]
 [0.005 0.    0.022 0.041 0.011 0.001 0.917 0.001 0.001 0.001]
 [0.01  0.001 0.037 0.036 0.049 0.041 0.008 0.813 0.004 0.001]
 [0.021 0.007 0.006 0.004 0.002 0.    0.002 0.    0.87  0.088]
 [0.011 0.027 0.003 0.006 0.001 0.001 0.001 0.002 0.012 0.936]]
[2025-04-19 17:48:32,439 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 17:48:32,440 INFO] 72704 iteration, USE_EMA: True, train/sup_loss: 0.1484, train/aux_loss: 0.3211, train/total_loss: 0.4695, train/util_ratio: 0.7656, train/run_time: 0.2866, eval/loss: 0.6705, eval/top-1-acc: 0.8190, eval/top-5-acc: 0.9857, eval/balanced_acc: 0.8190, eval/precision: 0.8183, eval/recall: 0.8190, eval/F1: 0.8166, lr: 0.0278, train/prefecth_time: 0.0044 BEST_EVAL_ACC: 0.8200, at 70656 iters
[2025-04-19 17:49:42,309 INFO] 72960 iteration USE_EMA: True, train/sup_loss: 0.2179, train/aux_loss: 0.3332, train/total_loss: 0.5511, train/util_ratio: 0.7277, train/run_time: 0.2199, lr: 0.0278, train/prefecth_time: 0.0082 
[2025-04-19 17:50:47,083 INFO] 73216 iteration USE_EMA: True, train/sup_loss: 0.0931, train/aux_loss: 0.1771, train/total_loss: 0.2702, train/util_ratio: 0.8036, train/run_time: 0.2550, lr: 0.0278, train/prefecth_time: 0.0080 
[2025-04-19 17:51:56,022 INFO] 73472 iteration USE_EMA: True, train/sup_loss: 0.1818, train/aux_loss: 0.1908, train/total_loss: 0.3726, train/util_ratio: 0.7790, train/run_time: 0.1691, lr: 0.0278, train/prefecth_time: 0.0101 
[2025-04-19 17:53:04,687 INFO] validating...
[2025-04-19 17:53:07,654 INFO] confusion matrix:
[[0.875 0.001 0.026 0.002 0.009 0.006 0.005 0.007 0.051 0.018]
 [0.007 0.929 0.003 0.    0.001 0.002 0.004 0.    0.011 0.043]
 [0.072 0.    0.697 0.022 0.061 0.058 0.074 0.007 0.006 0.003]
 [0.029 0.002 0.065 0.523 0.047 0.215 0.082 0.018 0.008 0.011]
 [0.018 0.    0.05  0.013 0.81  0.023 0.036 0.047 0.002 0.001]
 [0.007 0.    0.041 0.076 0.033 0.773 0.018 0.051 0.    0.001]
 [0.004 0.    0.009 0.039 0.008 0.001 0.935 0.002 0.001 0.001]
 [0.011 0.001 0.028 0.03  0.041 0.054 0.009 0.823 0.003 0.   ]
 [0.021 0.007 0.005 0.005 0.002 0.    0.002 0.    0.861 0.097]
 [0.007 0.021 0.002 0.005 0.001 0.001 0.002 0.002 0.01  0.949]]
[2025-04-19 17:53:08,241 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 17:53:08,243 INFO] 73728 iteration, USE_EMA: True, train/sup_loss: 0.1400, train/aux_loss: 0.1677, train/total_loss: 0.3077, train/util_ratio: 0.7790, train/run_time: 0.1913, eval/loss: 0.7078, eval/top-1-acc: 0.8175, eval/top-5-acc: 0.9849, eval/balanced_acc: 0.8175, eval/precision: 0.8174, eval/recall: 0.8175, eval/F1: 0.8143, lr: 0.0278, train/prefecth_time: 0.0061 BEST_EVAL_ACC: 0.8200, at 70656 iters
[2025-04-19 17:54:11,391 INFO] 73984 iteration USE_EMA: True, train/sup_loss: 0.4229, train/aux_loss: 0.7171, train/total_loss: 1.1400, train/util_ratio: 0.5312, train/run_time: 0.1875, lr: 0.0278, train/prefecth_time: 0.0819 
[2025-04-19 17:56:45,327 INFO] 74240 iteration USE_EMA: True, train/sup_loss: 0.1305, train/aux_loss: 0.3956, train/total_loss: 0.5261, train/util_ratio: 0.6585, train/run_time: 1.1751, lr: 0.0278, train/prefecth_time: 0.0046 
[2025-04-19 17:58:44,696 INFO] 74496 iteration USE_EMA: True, train/sup_loss: 0.2891, train/aux_loss: 0.4044, train/total_loss: 0.6935, train/util_ratio: 0.6496, train/run_time: 0.2894, lr: 0.0277, train/prefecth_time: 0.0053 
[2025-04-19 17:59:43,221 INFO] validating...
[2025-04-19 17:59:46,215 INFO] confusion matrix:
[[0.89  0.004 0.024 0.003 0.009 0.006 0.005 0.006 0.039 0.014]
 [0.009 0.954 0.001 0.001 0.    0.002 0.001 0.    0.005 0.027]
 [0.072 0.    0.705 0.02  0.059 0.058 0.077 0.004 0.001 0.004]
 [0.029 0.004 0.071 0.54  0.049 0.195 0.079 0.019 0.004 0.01 ]
 [0.018 0.    0.052 0.011 0.825 0.022 0.029 0.042 0.    0.001]
 [0.006 0.001 0.041 0.091 0.032 0.763 0.017 0.048 0.    0.001]
 [0.007 0.    0.011 0.043 0.008 0.001 0.927 0.001 0.001 0.001]
 [0.012 0.001 0.03  0.029 0.05  0.058 0.008 0.81  0.001 0.001]
 [0.025 0.011 0.007 0.005 0.001 0.    0.002 0.    0.849 0.1  ]
 [0.016 0.039 0.001 0.005 0.002 0.003 0.003 0.001 0.009 0.921]]
[2025-04-19 17:59:46,775 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 17:59:46,777 INFO] 74752 iteration, USE_EMA: True, train/sup_loss: 0.1311, train/aux_loss: 0.3020, train/total_loss: 0.4331, train/util_ratio: 0.7299, train/run_time: 0.2272, eval/loss: 0.7080, eval/top-1-acc: 0.8184, eval/top-5-acc: 0.9841, eval/balanced_acc: 0.8184, eval/precision: 0.8181, eval/recall: 0.8184, eval/F1: 0.8157, lr: 0.0277, train/prefecth_time: 0.0054 BEST_EVAL_ACC: 0.8200, at 70656 iters
[2025-04-19 18:00:47,972 INFO] 75008 iteration USE_EMA: True, train/sup_loss: 0.2076, train/aux_loss: 0.2534, train/total_loss: 0.4610, train/util_ratio: 0.7656, train/run_time: 0.2497, lr: 0.0277, train/prefecth_time: 0.0063 
[2025-04-19 18:01:47,071 INFO] 75264 iteration USE_EMA: True, train/sup_loss: 0.1012, train/aux_loss: 0.1600, train/total_loss: 0.2612, train/util_ratio: 0.7835, train/run_time: 0.1537, lr: 0.0277, train/prefecth_time: 0.0384 
[2025-04-19 18:02:46,381 INFO] 75520 iteration USE_EMA: True, train/sup_loss: 0.1873, train/aux_loss: 0.2586, train/total_loss: 0.4460, train/util_ratio: 0.7366, train/run_time: 0.1721, lr: 0.0277, train/prefecth_time: 0.0047 
[2025-04-19 18:03:45,405 INFO] validating...
[2025-04-19 18:03:48,157 INFO] confusion matrix:
[[0.895 0.002 0.026 0.002 0.005 0.005 0.005 0.005 0.041 0.014]
 [0.01  0.942 0.    0.002 0.    0.002 0.002 0.    0.003 0.039]
 [0.077 0.    0.679 0.023 0.056 0.065 0.086 0.008 0.003 0.003]
 [0.033 0.003 0.056 0.538 0.042 0.206 0.087 0.02  0.004 0.011]
 [0.019 0.    0.052 0.013 0.804 0.022 0.037 0.049 0.002 0.002]
 [0.007 0.    0.033 0.091 0.029 0.777 0.016 0.045 0.001 0.001]
 [0.006 0.    0.008 0.04  0.005 0.001 0.937 0.001 0.001 0.001]
 [0.013 0.001 0.025 0.029 0.041 0.058 0.007 0.824 0.001 0.001]
 [0.021 0.01  0.005 0.005 0.003 0.001 0.001 0.    0.855 0.099]
 [0.013 0.03  0.001 0.005 0.002 0.001 0.001 0.001 0.009 0.937]]
[2025-04-19 18:03:48,625 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 18:03:48,626 INFO] 75776 iteration, USE_EMA: True, train/sup_loss: 0.1354, train/aux_loss: 0.2273, train/total_loss: 0.3627, train/util_ratio: 0.7746, train/run_time: 0.1842, eval/loss: 0.7233, eval/top-1-acc: 0.8188, eval/top-5-acc: 0.9840, eval/balanced_acc: 0.8188, eval/precision: 0.8190, eval/recall: 0.8188, eval/F1: 0.8158, lr: 0.0277, train/prefecth_time: 0.0046 BEST_EVAL_ACC: 0.8200, at 70656 iters
[2025-04-19 18:04:51,798 INFO] 76032 iteration USE_EMA: True, train/sup_loss: 0.7261, train/aux_loss: 0.4826, train/total_loss: 1.2087, train/util_ratio: 0.7143, train/run_time: 0.1670, lr: 0.0276, train/prefecth_time: 0.0095 
[2025-04-19 18:05:50,862 INFO] 76288 iteration USE_EMA: True, train/sup_loss: 0.0957, train/aux_loss: 0.2668, train/total_loss: 0.3625, train/util_ratio: 0.7344, train/run_time: 0.1531, lr: 0.0276, train/prefecth_time: 0.1146 
[2025-04-19 18:06:50,923 INFO] 76544 iteration USE_EMA: True, train/sup_loss: 0.2221, train/aux_loss: 0.3538, train/total_loss: 0.5759, train/util_ratio: 0.7344, train/run_time: 0.1939, lr: 0.0276, train/prefecth_time: 0.0089 
[2025-04-19 18:10:33,610 INFO] validating...
[2025-04-19 18:10:41,716 INFO] confusion matrix:
[[0.879 0.005 0.035 0.003 0.006 0.006 0.005 0.002 0.042 0.017]
 [0.009 0.951 0.002 0.001 0.    0.002 0.001 0.    0.005 0.029]
 [0.067 0.    0.709 0.02  0.059 0.054 0.079 0.006 0.002 0.004]
 [0.03  0.002 0.066 0.544 0.049 0.197 0.073 0.023 0.005 0.011]
 [0.017 0.    0.057 0.015 0.806 0.022 0.036 0.042 0.003 0.002]
 [0.006 0.001 0.046 0.087 0.028 0.771 0.012 0.048 0.    0.001]
 [0.006 0.    0.014 0.048 0.006 0.001 0.922 0.001 0.001 0.001]
 [0.008 0.001 0.041 0.031 0.042 0.059 0.007 0.809 0.001 0.001]
 [0.021 0.009 0.003 0.006 0.002 0.    0.001 0.    0.856 0.102]
 [0.01  0.04  0.003 0.005 0.001 0.001 0.001 0.001 0.01  0.928]]
[2025-04-19 18:10:45,817 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 18:10:45,818 INFO] 76800 iteration, USE_EMA: True, train/sup_loss: 0.2017, train/aux_loss: 0.5057, train/total_loss: 0.7073, train/util_ratio: 0.6607, train/run_time: 0.1779, eval/loss: 0.7178, eval/top-1-acc: 0.8175, eval/top-5-acc: 0.9849, eval/balanced_acc: 0.8175, eval/precision: 0.8170, eval/recall: 0.8175, eval/F1: 0.8150, lr: 0.0276, train/prefecth_time: 0.0060 BEST_EVAL_ACC: 0.8200, at 70656 iters
[2025-04-19 18:13:13,219 INFO] select_ulb_dist:
[0.000e+00 1.000e+00 5.000e+00 1.860e+02 3.410e+02 8.780e+02 4.442e+03
 5.780e+02 2.364e+03 1.966e+03]
[2025-04-19 18:13:13,248 INFO] lb_select_ulb_dist:
[ 400.  240.  148.  272.  392.  908. 4460.  589. 2370. 1970.]
[2025-04-19 18:13:13,257 INFO] 75: Update the labeled data.
[2025-04-19 18:14:42,447 INFO] 77056 iteration USE_EMA: True, train/sup_loss: 0.2587, train/aux_loss: 0.2969, train/total_loss: 0.5557, train/util_ratio: 0.7366, train/run_time: 0.1651, lr: 0.0276, train/prefecth_time: 0.0423 
[2025-04-19 18:15:41,202 INFO] 77312 iteration USE_EMA: True, train/sup_loss: 0.2238, train/aux_loss: 0.1957, train/total_loss: 0.4195, train/util_ratio: 0.7746, train/run_time: 0.1779, lr: 0.0276, train/prefecth_time: 0.0277 
[2025-04-19 18:16:39,482 INFO] 77568 iteration USE_EMA: True, train/sup_loss: 0.1906, train/aux_loss: 0.3991, train/total_loss: 0.5897, train/util_ratio: 0.6853, train/run_time: 0.1642, lr: 0.0276, train/prefecth_time: 0.0066 
[2025-04-19 18:17:37,971 INFO] validating...
[2025-04-19 18:17:40,652 INFO] confusion matrix:
[[0.889 0.002 0.033 0.002 0.004 0.005 0.004 0.003 0.04  0.018]
 [0.009 0.942 0.002 0.    0.001 0.002 0.004 0.    0.004 0.036]
 [0.06  0.    0.729 0.023 0.061 0.052 0.058 0.009 0.002 0.006]
 [0.027 0.002 0.088 0.53  0.051 0.208 0.062 0.019 0.004 0.009]
 [0.014 0.    0.059 0.016 0.82  0.02  0.028 0.04  0.002 0.001]
 [0.007 0.001 0.049 0.083 0.028 0.767 0.011 0.053 0.    0.001]
 [0.007 0.    0.022 0.048 0.007 0.001 0.912 0.001 0.001 0.001]
 [0.011 0.001 0.037 0.031 0.041 0.057 0.005 0.815 0.001 0.001]
 [0.025 0.006 0.005 0.004 0.001 0.    0.002 0.    0.852 0.105]
 [0.007 0.029 0.003 0.006 0.    0.001 0.001 0.002 0.009 0.942]]
[2025-04-19 18:17:42,777 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 18:17:42,778 INFO] 77824 iteration, USE_EMA: True, train/sup_loss: 0.0564, train/aux_loss: 0.2085, train/total_loss: 0.2649, train/util_ratio: 0.7500, train/run_time: 0.1572, eval/loss: 0.7046, eval/top-1-acc: 0.8198, eval/top-5-acc: 0.9834, eval/balanced_acc: 0.8198, eval/precision: 0.8198, eval/recall: 0.8198, eval/F1: 0.8174, lr: 0.0275, train/prefecth_time: 0.0042 BEST_EVAL_ACC: 0.8200, at 70656 iters
[2025-04-19 18:18:42,193 INFO] 78080 iteration USE_EMA: True, train/sup_loss: 0.2210, train/aux_loss: 0.2849, train/total_loss: 0.5059, train/util_ratio: 0.7478, train/run_time: 0.1646, lr: 0.0275, train/prefecth_time: 0.0039 
[2025-04-19 18:19:39,590 INFO] 78336 iteration USE_EMA: True, train/sup_loss: 0.3262, train/aux_loss: 0.4988, train/total_loss: 0.8249, train/util_ratio: 0.6272, train/run_time: 0.1778, lr: 0.0275, train/prefecth_time: 0.0057 
[2025-04-19 18:20:37,699 INFO] 78592 iteration USE_EMA: True, train/sup_loss: 0.1489, train/aux_loss: 0.2844, train/total_loss: 0.4333, train/util_ratio: 0.7455, train/run_time: 0.1586, lr: 0.0275, train/prefecth_time: 0.0074 
[2025-04-19 18:21:35,319 INFO] validating...
[2025-04-19 18:21:37,750 INFO] confusion matrix:
[[0.879 0.003 0.048 0.002 0.006 0.004 0.004 0.    0.038 0.016]
 [0.007 0.948 0.002 0.001 0.    0.002 0.004 0.    0.006 0.03 ]
 [0.058 0.    0.748 0.016 0.051 0.053 0.057 0.009 0.003 0.005]
 [0.03  0.003 0.091 0.51  0.046 0.217 0.069 0.021 0.004 0.009]
 [0.013 0.    0.061 0.018 0.805 0.024 0.03  0.047 0.002 0.   ]
 [0.006 0.001 0.046 0.079 0.028 0.777 0.012 0.05  0.    0.001]
 [0.006 0.    0.021 0.043 0.005 0.001 0.921 0.001 0.001 0.001]
 [0.011 0.002 0.042 0.027 0.039 0.059 0.007 0.811 0.001 0.001]
 [0.026 0.007 0.005 0.004 0.001 0.    0.002 0.    0.85  0.105]
 [0.008 0.037 0.002 0.002 0.    0.002 0.001 0.002 0.009 0.937]]
[2025-04-19 18:21:39,092 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 18:21:39,093 INFO] 78848 iteration, USE_EMA: True, train/sup_loss: 0.0506, train/aux_loss: 0.2292, train/total_loss: 0.2798, train/util_ratio: 0.7857, train/run_time: 0.1554, eval/loss: 0.7376, eval/top-1-acc: 0.8186, eval/top-5-acc: 0.9820, eval/balanced_acc: 0.8186, eval/precision: 0.8192, eval/recall: 0.8186, eval/F1: 0.8159, lr: 0.0275, train/prefecth_time: 0.0040 BEST_EVAL_ACC: 0.8200, at 70656 iters
[2025-04-19 18:22:39,902 INFO] 79104 iteration USE_EMA: True, train/sup_loss: 0.2086, train/aux_loss: 0.2219, train/total_loss: 0.4305, train/util_ratio: 0.7790, train/run_time: 0.1730, lr: 0.0275, train/prefecth_time: 0.0665 
[2025-04-19 18:23:36,847 INFO] 79360 iteration USE_EMA: True, train/sup_loss: 0.2211, train/aux_loss: 0.1903, train/total_loss: 0.4114, train/util_ratio: 0.7902, train/run_time: 0.1702, lr: 0.0274, train/prefecth_time: 0.0089 
[2025-04-19 18:24:33,861 INFO] 79616 iteration USE_EMA: True, train/sup_loss: 0.1287, train/aux_loss: 0.1933, train/total_loss: 0.3220, train/util_ratio: 0.7634, train/run_time: 0.1581, lr: 0.0274, train/prefecth_time: 0.0068 
[2025-04-19 18:25:30,312 INFO] validating...
[2025-04-19 18:25:32,987 INFO] confusion matrix:
[[0.88  0.003 0.039 0.002 0.009 0.005 0.005 0.    0.042 0.015]
 [0.009 0.94  0.001 0.    0.001 0.002 0.004 0.    0.008 0.035]
 [0.064 0.    0.709 0.012 0.057 0.061 0.078 0.01  0.004 0.005]
 [0.029 0.004 0.069 0.497 0.05  0.226 0.09  0.023 0.003 0.009]
 [0.015 0.    0.055 0.016 0.799 0.03  0.036 0.046 0.003 0.   ]
 [0.008 0.001 0.046 0.08  0.026 0.776 0.014 0.048 0.    0.001]
 [0.004 0.    0.011 0.039 0.005 0.001 0.937 0.001 0.001 0.001]
 [0.013 0.002 0.028 0.023 0.042 0.059 0.008 0.82  0.003 0.002]
 [0.024 0.009 0.002 0.003 0.002 0.001 0.003 0.    0.855 0.101]
 [0.008 0.028 0.002 0.003 0.    0.002 0.002 0.002 0.008 0.945]]
[2025-04-19 18:25:35,216 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 18:25:35,218 INFO] 79872 iteration, USE_EMA: True, train/sup_loss: 0.0507, train/aux_loss: 0.2518, train/total_loss: 0.3025, train/util_ratio: 0.7210, train/run_time: 0.1587, eval/loss: 0.7318, eval/top-1-acc: 0.8158, eval/top-5-acc: 0.9814, eval/balanced_acc: 0.8158, eval/precision: 0.8164, eval/recall: 0.8158, eval/F1: 0.8123, lr: 0.0274, train/prefecth_time: 0.0048 BEST_EVAL_ACC: 0.8200, at 70656 iters
[2025-04-19 18:28:21,902 INFO] 80128 iteration USE_EMA: True, train/sup_loss: 0.2984, train/aux_loss: 0.6216, train/total_loss: 0.9199, train/util_ratio: 0.5737, train/run_time: 0.1670, lr: 0.0274, train/prefecth_time: 0.0042 
[2025-04-19 18:29:18,715 INFO] 80384 iteration USE_EMA: True, train/sup_loss: 0.4154, train/aux_loss: 0.5754, train/total_loss: 0.9908, train/util_ratio: 0.5781, train/run_time: 0.1691, lr: 0.0274, train/prefecth_time: 0.0071 
[2025-04-19 18:30:16,170 INFO] 80640 iteration USE_EMA: True, train/sup_loss: 0.1489, train/aux_loss: 0.3643, train/total_loss: 0.5133, train/util_ratio: 0.7277, train/run_time: 0.1930, lr: 0.0274, train/prefecth_time: 0.0043 
[2025-04-19 18:31:13,410 INFO] validating...
[2025-04-19 18:31:16,455 INFO] confusion matrix:
[[0.872 0.006 0.047 0.004 0.008 0.006 0.006 0.002 0.035 0.014]
 [0.008 0.948 0.002 0.001 0.    0.002 0.001 0.    0.003 0.035]
 [0.057 0.    0.749 0.021 0.059 0.046 0.054 0.007 0.004 0.003]
 [0.028 0.004 0.086 0.519 0.049 0.205 0.072 0.023 0.005 0.009]
 [0.016 0.    0.061 0.015 0.816 0.021 0.025 0.043 0.002 0.001]
 [0.006 0.001 0.052 0.081 0.031 0.766 0.014 0.048 0.    0.001]
 [0.006 0.    0.018 0.043 0.004 0.001 0.925 0.001 0.001 0.001]
 [0.01  0.002 0.038 0.03  0.04  0.048 0.005 0.823 0.003 0.001]
 [0.026 0.011 0.005 0.001 0.001 0.001 0.001 0.    0.849 0.105]
 [0.011 0.032 0.002 0.004 0.001 0.001 0.    0.002 0.007 0.94 ]]
[2025-04-19 18:31:17,308 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 18:31:19,656 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 18:31:19,657 INFO] 80896 iteration, USE_EMA: True, train/sup_loss: 0.0827, train/aux_loss: 0.2719, train/total_loss: 0.3546, train/util_ratio: 0.7210, train/run_time: 0.1544, eval/loss: 0.7112, eval/top-1-acc: 0.8207, eval/top-5-acc: 0.9819, eval/balanced_acc: 0.8207, eval/precision: 0.8205, eval/recall: 0.8207, eval/F1: 0.8180, lr: 0.0273, train/prefecth_time: 0.0051 BEST_EVAL_ACC: 0.8207, at 80896 iters
[2025-04-19 18:32:21,426 INFO] 81152 iteration USE_EMA: True, train/sup_loss: 0.2157, train/aux_loss: 0.2046, train/total_loss: 0.4203, train/util_ratio: 0.8013, train/run_time: 0.2432, lr: 0.0273, train/prefecth_time: 0.0057 
[2025-04-19 18:33:19,005 INFO] 81408 iteration USE_EMA: True, train/sup_loss: 0.2210, train/aux_loss: 0.2405, train/total_loss: 0.4615, train/util_ratio: 0.7478, train/run_time: 0.1763, lr: 0.0273, train/prefecth_time: 0.0582 
[2025-04-19 18:34:16,971 INFO] 81664 iteration USE_EMA: True, train/sup_loss: 0.1333, train/aux_loss: 0.2552, train/total_loss: 0.3886, train/util_ratio: 0.7857, train/run_time: 0.1739, lr: 0.0273, train/prefecth_time: 0.0601 
[2025-04-19 18:35:15,293 INFO] validating...
[2025-04-19 18:35:18,637 INFO] confusion matrix:
[[0.872 0.006 0.044 0.002 0.007 0.004 0.006 0.004 0.037 0.018]
 [0.008 0.94  0.001 0.001 0.    0.002 0.002 0.    0.006 0.04 ]
 [0.066 0.    0.721 0.02  0.061 0.055 0.061 0.009 0.003 0.004]
 [0.03  0.003 0.071 0.509 0.047 0.216 0.086 0.02  0.007 0.011]
 [0.018 0.    0.05  0.013 0.813 0.027 0.028 0.048 0.002 0.001]
 [0.006 0.001 0.047 0.086 0.026 0.772 0.013 0.048 0.    0.001]
 [0.008 0.    0.01  0.039 0.005 0.001 0.933 0.002 0.001 0.001]
 [0.011 0.001 0.029 0.024 0.039 0.052 0.007 0.832 0.005 0.   ]
 [0.022 0.007 0.005 0.004 0.001 0.002 0.001 0.    0.855 0.103]
 [0.01  0.026 0.002 0.005 0.001 0.002 0.    0.001 0.007 0.946]]
[2025-04-19 18:35:20,128 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 18:35:20,129 INFO] 81920 iteration, USE_EMA: True, train/sup_loss: 0.0530, train/aux_loss: 0.2086, train/total_loss: 0.2616, train/util_ratio: 0.7879, train/run_time: 0.2342, eval/loss: 0.7174, eval/top-1-acc: 0.8193, eval/top-5-acc: 0.9824, eval/balanced_acc: 0.8193, eval/precision: 0.8190, eval/recall: 0.8193, eval/F1: 0.8161, lr: 0.0273, train/prefecth_time: 0.0826 BEST_EVAL_ACC: 0.8207, at 80896 iters
[2025-04-19 18:37:33,503 INFO] select_ulb_dist:
[   0.    0.    0.  205.  342.  885. 4448.  582. 2368. 1971.]
[2025-04-19 18:37:33,541 INFO] lb_select_ulb_dist:
[ 400.  239.  143.  291.  393.  915. 4466.  593. 2374. 1975.]
[2025-04-19 18:37:33,552 INFO] 80: Update the labeled data.
[2025-04-19 18:39:04,188 INFO] 82176 iteration USE_EMA: True, train/sup_loss: 0.1902, train/aux_loss: 0.5157, train/total_loss: 0.7059, train/util_ratio: 0.5379, train/run_time: 0.1959, lr: 0.0273, train/prefecth_time: 0.0765 
[2025-04-19 18:40:05,558 INFO] 82432 iteration USE_EMA: True, train/sup_loss: 0.1988, train/aux_loss: 0.5421, train/total_loss: 0.7409, train/util_ratio: 0.5670, train/run_time: 0.1427, lr: 0.0272, train/prefecth_time: 0.0074 
[2025-04-19 18:41:06,012 INFO] 82688 iteration USE_EMA: True, train/sup_loss: 0.2372, train/aux_loss: 0.3999, train/total_loss: 0.6371, train/util_ratio: 0.6406, train/run_time: 0.1557, lr: 0.0272, train/prefecth_time: 0.0059 
[2025-04-19 18:42:05,602 INFO] validating...
[2025-04-19 18:42:08,896 INFO] confusion matrix:
[[0.873 0.007 0.037 0.002 0.008 0.005 0.006 0.003 0.038 0.021]
 [0.009 0.945 0.002 0.001 0.    0.002 0.001 0.    0.007 0.033]
 [0.067 0.    0.737 0.021 0.055 0.049 0.055 0.008 0.005 0.003]
 [0.029 0.003 0.076 0.547 0.042 0.194 0.077 0.02  0.005 0.007]
 [0.015 0.001 0.053 0.014 0.812 0.023 0.031 0.05  0.    0.001]
 [0.004 0.002 0.051 0.089 0.026 0.762 0.014 0.051 0.    0.001]
 [0.007 0.    0.018 0.046 0.004 0.002 0.921 0.001 0.001 0.   ]
 [0.009 0.001 0.037 0.032 0.039 0.046 0.007 0.824 0.004 0.001]
 [0.025 0.009 0.004 0.006 0.001 0.002 0.003 0.    0.845 0.105]
 [0.008 0.032 0.002 0.007 0.001 0.002 0.001 0.002 0.007 0.938]]
[2025-04-19 18:42:09,811 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 18:42:09,813 INFO] 82944 iteration, USE_EMA: True, train/sup_loss: 0.1834, train/aux_loss: 0.2860, train/total_loss: 0.4694, train/util_ratio: 0.7478, train/run_time: 0.1603, eval/loss: 0.7362, eval/top-1-acc: 0.8204, eval/top-5-acc: 0.9827, eval/balanced_acc: 0.8204, eval/precision: 0.8198, eval/recall: 0.8204, eval/F1: 0.8181, lr: 0.0272, train/prefecth_time: 0.0064 BEST_EVAL_ACC: 0.8207, at 80896 iters
[2025-04-19 18:43:11,629 INFO] 83200 iteration USE_EMA: True, train/sup_loss: 0.0707, train/aux_loss: 0.1801, train/total_loss: 0.2508, train/util_ratio: 0.7433, train/run_time: 0.2638, lr: 0.0272, train/prefecth_time: 0.0103 
[2025-04-19 18:44:09,993 INFO] 83456 iteration USE_EMA: True, train/sup_loss: 0.1179, train/aux_loss: 0.1959, train/total_loss: 0.3139, train/util_ratio: 0.7366, train/run_time: 0.1490, lr: 0.0272, train/prefecth_time: 0.0048 
[2025-04-19 18:45:08,384 INFO] 83712 iteration USE_EMA: True, train/sup_loss: 0.1521, train/aux_loss: 0.1518, train/total_loss: 0.3039, train/util_ratio: 0.8036, train/run_time: 0.1540, lr: 0.0272, train/prefecth_time: 0.0968 
[2025-04-19 18:46:06,960 INFO] validating...
[2025-04-19 18:46:09,675 INFO] confusion matrix:
[[0.876 0.006 0.033 0.001 0.007 0.007 0.009 0.002 0.038 0.021]
 [0.009 0.94  0.001 0.001 0.    0.002 0.001 0.001 0.007 0.038]
 [0.067 0.001 0.706 0.022 0.058 0.056 0.072 0.01  0.005 0.003]
 [0.028 0.004 0.053 0.532 0.039 0.223 0.082 0.021 0.006 0.012]
 [0.018 0.001 0.051 0.019 0.799 0.021 0.036 0.052 0.002 0.001]
 [0.006 0.003 0.036 0.084 0.025 0.776 0.017 0.052 0.    0.001]
 [0.006 0.    0.011 0.04  0.003 0.001 0.935 0.002 0.001 0.001]
 [0.013 0.001 0.02  0.034 0.034 0.055 0.006 0.831 0.004 0.002]
 [0.023 0.007 0.003 0.005 0.001 0.001 0.003 0.    0.858 0.099]
 [0.01  0.027 0.003 0.004 0.    0.002 0.002 0.001 0.008 0.943]]
[2025-04-19 18:46:10,621 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 18:46:10,623 INFO] 83968 iteration, USE_EMA: True, train/sup_loss: 0.1614, train/aux_loss: 0.1507, train/total_loss: 0.3121, train/util_ratio: 0.7857, train/run_time: 0.1913, eval/loss: 0.7402, eval/top-1-acc: 0.8196, eval/top-5-acc: 0.9805, eval/balanced_acc: 0.8196, eval/precision: 0.8195, eval/recall: 0.8196, eval/F1: 0.8167, lr: 0.0271, train/prefecth_time: 0.0062 BEST_EVAL_ACC: 0.8207, at 80896 iters
[2025-04-19 18:47:13,163 INFO] 84224 iteration USE_EMA: True, train/sup_loss: 0.1950, train/aux_loss: 0.4346, train/total_loss: 0.6296, train/util_ratio: 0.6027, train/run_time: 0.1619, lr: 0.0271, train/prefecth_time: 0.0046 
[2025-04-19 18:48:12,499 INFO] 84480 iteration USE_EMA: True, train/sup_loss: 0.2941, train/aux_loss: 0.5599, train/total_loss: 0.8540, train/util_ratio: 0.5848, train/run_time: 0.1499, lr: 0.0271, train/prefecth_time: 0.0109 
[2025-04-19 18:49:11,675 INFO] 84736 iteration USE_EMA: True, train/sup_loss: 0.2187, train/aux_loss: 0.4005, train/total_loss: 0.6193, train/util_ratio: 0.6786, train/run_time: 0.1417, lr: 0.0271, train/prefecth_time: 0.0107 
[2025-04-19 18:50:10,876 INFO] validating...
[2025-04-19 18:50:13,811 INFO] confusion matrix:
[[0.861 0.008 0.046 0.002 0.009 0.004 0.007 0.001 0.039 0.023]
 [0.009 0.944 0.003 0.001 0.    0.002 0.    0.    0.005 0.036]
 [0.06  0.    0.745 0.024 0.057 0.047 0.052 0.007 0.003 0.005]
 [0.024 0.005 0.067 0.56  0.042 0.2   0.072 0.016 0.004 0.01 ]
 [0.016 0.    0.056 0.018 0.813 0.025 0.032 0.039 0.001 0.   ]
 [0.006 0.001 0.045 0.1   0.027 0.759 0.015 0.046 0.    0.001]
 [0.008 0.    0.014 0.051 0.004 0.001 0.918 0.001 0.001 0.002]
 [0.01  0.001 0.036 0.038 0.044 0.05  0.006 0.811 0.003 0.001]
 [0.02  0.008 0.006 0.006 0.001 0.001 0.002 0.    0.857 0.099]
 [0.01  0.036 0.003 0.005 0.    0.003 0.001 0.002 0.008 0.932]]
[2025-04-19 18:50:14,535 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 18:50:14,536 INFO] 84992 iteration, USE_EMA: True, train/sup_loss: 0.1733, train/aux_loss: 0.3909, train/total_loss: 0.5642, train/util_ratio: 0.6585, train/run_time: 0.1663, eval/loss: 0.7275, eval/top-1-acc: 0.8200, eval/top-5-acc: 0.9822, eval/balanced_acc: 0.8200, eval/precision: 0.8198, eval/recall: 0.8200, eval/F1: 0.8183, lr: 0.0271, train/prefecth_time: 0.0451 BEST_EVAL_ACC: 0.8207, at 80896 iters
[2025-04-19 18:51:18,382 INFO] 85248 iteration USE_EMA: True, train/sup_loss: 0.0718, train/aux_loss: 0.2294, train/total_loss: 0.3012, train/util_ratio: 0.7478, train/run_time: 0.2044, lr: 0.0271, train/prefecth_time: 0.0867 
[2025-04-19 18:52:18,572 INFO] 85504 iteration USE_EMA: True, train/sup_loss: 0.1384, train/aux_loss: 0.4255, train/total_loss: 0.5639, train/util_ratio: 0.6138, train/run_time: 0.1450, lr: 0.0270, train/prefecth_time: 0.0063 
[2025-04-19 18:53:18,444 INFO] 85760 iteration USE_EMA: True, train/sup_loss: 0.2454, train/aux_loss: 0.4645, train/total_loss: 0.7099, train/util_ratio: 0.6540, train/run_time: 0.2270, lr: 0.0270, train/prefecth_time: 0.0564 
[2025-04-19 18:54:19,116 INFO] validating...
[2025-04-19 18:54:21,962 INFO] confusion matrix:
[[0.87  0.006 0.04  0.002 0.008 0.007 0.004 0.004 0.041 0.018]
 [0.009 0.951 0.002 0.001 0.    0.002 0.    0.    0.005 0.03 ]
 [0.068 0.001 0.745 0.022 0.044 0.051 0.054 0.007 0.003 0.005]
 [0.03  0.005 0.062 0.547 0.049 0.198 0.079 0.015 0.005 0.01 ]
 [0.018 0.    0.07  0.019 0.79  0.026 0.033 0.044 0.    0.   ]
 [0.007 0.002 0.046 0.084 0.028 0.766 0.016 0.049 0.    0.002]
 [0.007 0.    0.017 0.049 0.004 0.001 0.918 0.002 0.001 0.001]
 [0.015 0.001 0.035 0.032 0.037 0.056 0.007 0.813 0.003 0.001]
 [0.022 0.005 0.009 0.005 0.001 0.001 0.001 0.    0.858 0.098]
 [0.011 0.044 0.004 0.004 0.    0.003 0.002 0.002 0.008 0.922]]
[2025-04-19 18:54:23,870 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 18:54:23,871 INFO] 86016 iteration, USE_EMA: True, train/sup_loss: 0.1760, train/aux_loss: 0.2458, train/total_loss: 0.4218, train/util_ratio: 0.7344, train/run_time: 0.1849, eval/loss: 0.7361, eval/top-1-acc: 0.8180, eval/top-5-acc: 0.9802, eval/balanced_acc: 0.8180, eval/precision: 0.8179, eval/recall: 0.8180, eval/F1: 0.8159, lr: 0.0270, train/prefecth_time: 0.0170 BEST_EVAL_ACC: 0.8207, at 80896 iters
[2025-04-19 18:55:30,035 INFO] 86272 iteration USE_EMA: True, train/sup_loss: 0.0723, train/aux_loss: 0.3192, train/total_loss: 0.3914, train/util_ratio: 0.7277, train/run_time: 0.1717, lr: 0.0270, train/prefecth_time: 0.0104 
[2025-04-19 18:56:28,201 INFO] 86528 iteration USE_EMA: True, train/sup_loss: 0.1117, train/aux_loss: 0.2060, train/total_loss: 0.3177, train/util_ratio: 0.7723, train/run_time: 0.1517, lr: 0.0270, train/prefecth_time: 0.0083 
[2025-04-19 18:57:24,578 INFO] 86784 iteration USE_EMA: True, train/sup_loss: 0.1635, train/aux_loss: 0.2129, train/total_loss: 0.3764, train/util_ratio: 0.7790, train/run_time: 0.1417, lr: 0.0269, train/prefecth_time: 0.0054 
[2025-04-19 18:58:34,412 INFO] validating...
[2025-04-19 18:58:37,020 INFO] confusion matrix:
[[0.875 0.002 0.033 0.002 0.01  0.007 0.004 0.002 0.042 0.023]
 [0.008 0.949 0.003 0.001 0.    0.002 0.001 0.001 0.004 0.031]
 [0.073 0.    0.701 0.022 0.044 0.061 0.081 0.009 0.004 0.005]
 [0.027 0.004 0.056 0.534 0.046 0.216 0.084 0.018 0.005 0.01 ]
 [0.019 0.    0.055 0.019 0.789 0.031 0.039 0.046 0.002 0.   ]
 [0.009 0.002 0.035 0.081 0.028 0.776 0.019 0.048 0.    0.002]
 [0.007 0.    0.011 0.04  0.005 0.001 0.932 0.002 0.001 0.001]
 [0.015 0.001 0.023 0.031 0.033 0.053 0.006 0.834 0.003 0.001]
 [0.02  0.007 0.007 0.003 0.001 0.001 0.001 0.    0.861 0.099]
 [0.013 0.036 0.003 0.002 0.    0.002 0.002 0.001 0.009 0.932]]
[2025-04-19 18:58:37,906 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 18:58:37,907 INFO] 87040 iteration, USE_EMA: True, train/sup_loss: 0.1605, train/aux_loss: 0.1561, train/total_loss: 0.3166, train/util_ratio: 0.7902, train/run_time: 0.2233, eval/loss: 0.7350, eval/top-1-acc: 0.8183, eval/top-5-acc: 0.9806, eval/balanced_acc: 0.8183, eval/precision: 0.8186, eval/recall: 0.8183, eval/F1: 0.8155, lr: 0.0269, train/prefecth_time: 0.0048 BEST_EVAL_ACC: 0.8207, at 80896 iters
[2025-04-19 19:00:41,917 INFO] select_ulb_dist:
[  34.   71.   62.  219.  342.  886. 4449.  584. 2368. 1972.]
[2025-04-19 19:00:41,952 INFO] lb_select_ulb_dist:
[ 434.  310.  205.  305.  393.  916. 4467.  595. 2374. 1976.]
[2025-04-19 19:00:41,974 INFO] 85: Update the labeled data.
[2025-04-19 19:02:24,252 INFO] 87296 iteration USE_EMA: True, train/sup_loss: 0.1320, train/aux_loss: 0.1721, train/total_loss: 0.3041, train/util_ratio: 0.7902, train/run_time: 0.3636, lr: 0.0269, train/prefecth_time: 0.0097 
[2025-04-19 19:03:36,179 INFO] 87552 iteration USE_EMA: True, train/sup_loss: 0.0960, train/aux_loss: 0.1609, train/total_loss: 0.2569, train/util_ratio: 0.7656, train/run_time: 0.3175, lr: 0.0269, train/prefecth_time: 0.0088 
[2025-04-19 19:04:44,732 INFO] 87808 iteration USE_EMA: True, train/sup_loss: 0.3291, train/aux_loss: 0.6405, train/total_loss: 0.9696, train/util_ratio: 0.5759, train/run_time: 0.1532, lr: 0.0269, train/prefecth_time: 0.0094 
[2025-04-19 19:05:47,605 INFO] validating...
[2025-04-19 19:05:50,160 INFO] confusion matrix:
[[0.864 0.006 0.043 0.002 0.012 0.008 0.005 0.002 0.037 0.021]
 [0.007 0.952 0.003 0.001 0.    0.002 0.002 0.001 0.003 0.029]
 [0.061 0.001 0.711 0.018 0.052 0.067 0.076 0.009 0.003 0.002]
 [0.021 0.003 0.07  0.514 0.046 0.224 0.086 0.018 0.006 0.012]
 [0.011 0.    0.055 0.015 0.808 0.026 0.036 0.045 0.003 0.001]
 [0.005 0.002 0.041 0.078 0.025 0.776 0.02  0.052 0.    0.001]
 [0.006 0.    0.009 0.037 0.003 0.001 0.94  0.002 0.001 0.001]
 [0.013 0.002 0.034 0.03  0.035 0.051 0.006 0.826 0.003 0.   ]
 [0.017 0.008 0.007 0.005 0.002 0.001 0.004 0.    0.865 0.091]
 [0.008 0.037 0.003 0.005 0.    0.002 0.001 0.003 0.008 0.933]]
[2025-04-19 19:05:51,310 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 19:05:51,311 INFO] 88064 iteration, USE_EMA: True, train/sup_loss: 0.4084, train/aux_loss: 0.6348, train/total_loss: 1.0431, train/util_ratio: 0.5446, train/run_time: 0.1504, eval/loss: 0.7242, eval/top-1-acc: 0.8189, eval/top-5-acc: 0.9812, eval/balanced_acc: 0.8189, eval/precision: 0.8192, eval/recall: 0.8189, eval/F1: 0.8159, lr: 0.0269, train/prefecth_time: 0.0055 BEST_EVAL_ACC: 0.8207, at 80896 iters
[2025-04-19 19:06:54,151 INFO] 88320 iteration USE_EMA: True, train/sup_loss: 0.1753, train/aux_loss: 0.3405, train/total_loss: 0.5158, train/util_ratio: 0.6808, train/run_time: 0.1542, lr: 0.0268, train/prefecth_time: 0.0067 
[2025-04-19 19:07:54,443 INFO] 88576 iteration USE_EMA: True, train/sup_loss: 0.0982, train/aux_loss: 0.2481, train/total_loss: 0.3462, train/util_ratio: 0.7612, train/run_time: 0.2933, lr: 0.0268, train/prefecth_time: 0.0087 
[2025-04-19 19:08:53,935 INFO] 88832 iteration USE_EMA: True, train/sup_loss: 0.1455, train/aux_loss: 0.2534, train/total_loss: 0.3989, train/util_ratio: 0.8013, train/run_time: 0.3611, lr: 0.0268, train/prefecth_time: 0.0086 
[2025-04-19 19:09:53,735 INFO] validating...
[2025-04-19 19:09:56,871 INFO] confusion matrix:
[[0.877 0.007 0.027 0.002 0.013 0.006 0.007 0.004 0.04  0.017]
 [0.007 0.94  0.004 0.002 0.    0.002 0.002 0.001 0.005 0.037]
 [0.069 0.    0.69  0.029 0.064 0.059 0.073 0.009 0.003 0.004]
 [0.022 0.005 0.075 0.531 0.047 0.202 0.08  0.019 0.006 0.013]
 [0.011 0.    0.048 0.017 0.813 0.028 0.035 0.045 0.002 0.001]
 [0.005 0.002 0.048 0.088 0.028 0.76  0.021 0.046 0.001 0.001]
 [0.007 0.    0.014 0.041 0.005 0.001 0.929 0.001 0.001 0.001]
 [0.009 0.001 0.038 0.031 0.041 0.055 0.008 0.814 0.003 0.   ]
 [0.017 0.008 0.008 0.004 0.002 0.001 0.003 0.    0.855 0.102]
 [0.006 0.029 0.003 0.006 0.    0.002 0.001 0.004 0.009 0.94 ]]
[2025-04-19 19:09:59,682 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 19:09:59,684 INFO] 89088 iteration, USE_EMA: True, train/sup_loss: 0.2055, train/aux_loss: 0.1690, train/total_loss: 0.3745, train/util_ratio: 0.7790, train/run_time: 0.1540, eval/loss: 0.7423, eval/top-1-acc: 0.8149, eval/top-5-acc: 0.9819, eval/balanced_acc: 0.8149, eval/precision: 0.8144, eval/recall: 0.8149, eval/F1: 0.8122, lr: 0.0268, train/prefecth_time: 0.0103 BEST_EVAL_ACC: 0.8207, at 80896 iters
[2025-04-19 19:11:05,076 INFO] 89344 iteration USE_EMA: True, train/sup_loss: 0.1367, train/aux_loss: 0.1974, train/total_loss: 0.3341, train/util_ratio: 0.7701, train/run_time: 0.1528, lr: 0.0268, train/prefecth_time: 0.0089 
[2025-04-19 19:12:05,152 INFO] 89600 iteration USE_EMA: True, train/sup_loss: 0.0988, train/aux_loss: 0.1430, train/total_loss: 0.2418, train/util_ratio: 0.7813, train/run_time: 0.1540, lr: 0.0268, train/prefecth_time: 0.0269 
[2025-04-19 19:13:07,771 INFO] 89856 iteration USE_EMA: True, train/sup_loss: 0.1650, train/aux_loss: 0.2782, train/total_loss: 0.4432, train/util_ratio: 0.7165, train/run_time: 0.1521, lr: 0.0267, train/prefecth_time: 0.0068 
[2025-04-19 19:14:09,638 INFO] validating...
[2025-04-19 19:14:12,608 INFO] confusion matrix:
[[0.881 0.003 0.028 0.003 0.01  0.006 0.004 0.004 0.042 0.019]
 [0.005 0.943 0.004 0.001 0.001 0.002 0.003 0.001 0.005 0.035]
 [0.066 0.    0.686 0.026 0.067 0.063 0.074 0.012 0.002 0.004]
 [0.018 0.003 0.068 0.542 0.047 0.212 0.074 0.019 0.007 0.01 ]
 [0.013 0.    0.045 0.015 0.82  0.027 0.032 0.046 0.001 0.001]
 [0.006 0.002 0.047 0.081 0.028 0.766 0.019 0.049 0.001 0.001]
 [0.005 0.    0.014 0.042 0.006 0.001 0.929 0.001 0.001 0.001]
 [0.01  0.002 0.032 0.034 0.039 0.054 0.006 0.82  0.002 0.001]
 [0.019 0.007 0.006 0.004 0.003 0.002 0.005 0.    0.856 0.098]
 [0.007 0.03  0.003 0.007 0.001 0.002 0.002 0.003 0.01  0.935]]
[2025-04-19 19:14:14,115 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 19:14:14,116 INFO] 90112 iteration, USE_EMA: True, train/sup_loss: 0.4580, train/aux_loss: 0.5629, train/total_loss: 1.0209, train/util_ratio: 0.6540, train/run_time: 0.1496, eval/loss: 0.7293, eval/top-1-acc: 0.8178, eval/top-5-acc: 0.9826, eval/balanced_acc: 0.8178, eval/precision: 0.8176, eval/recall: 0.8178, eval/F1: 0.8152, lr: 0.0267, train/prefecth_time: 0.0057 BEST_EVAL_ACC: 0.8207, at 80896 iters
[2025-04-19 19:15:16,572 INFO] 90368 iteration USE_EMA: True, train/sup_loss: 0.1983, train/aux_loss: 0.3619, train/total_loss: 0.5602, train/util_ratio: 0.7254, train/run_time: 0.2152, lr: 0.0267, train/prefecth_time: 0.0078 
[2025-04-19 19:16:19,508 INFO] 90624 iteration USE_EMA: True, train/sup_loss: 0.1141, train/aux_loss: 0.3610, train/total_loss: 0.4751, train/util_ratio: 0.6741, train/run_time: 0.3657, lr: 0.0267, train/prefecth_time: 0.0066 
[2025-04-19 19:17:37,955 INFO] 90880 iteration USE_EMA: True, train/sup_loss: 0.1417, train/aux_loss: 0.2647, train/total_loss: 0.4063, train/util_ratio: 0.7679, train/run_time: 0.1581, lr: 0.0267, train/prefecth_time: 0.0079 
[2025-04-19 19:18:37,861 INFO] validating...
[2025-04-19 19:18:40,523 INFO] confusion matrix:
[[0.876 0.006 0.033 0.003 0.011 0.004 0.005 0.004 0.038 0.02 ]
 [0.006 0.942 0.004 0.001 0.    0.002 0.002 0.001 0.007 0.035]
 [0.064 0.    0.691 0.029 0.053 0.065 0.081 0.008 0.003 0.006]
 [0.019 0.003 0.072 0.546 0.041 0.208 0.079 0.015 0.006 0.011]
 [0.014 0.    0.053 0.017 0.812 0.022 0.034 0.047 0.001 0.   ]
 [0.006 0.001 0.044 0.084 0.027 0.771 0.017 0.048 0.    0.002]
 [0.005 0.    0.012 0.042 0.003 0.001 0.934 0.001 0.001 0.001]
 [0.009 0.002 0.039 0.034 0.039 0.052 0.009 0.812 0.003 0.001]
 [0.021 0.008 0.003 0.004 0.003 0.002 0.002 0.    0.856 0.101]
 [0.009 0.035 0.003 0.008 0.001 0.001 0.002 0.002 0.01  0.929]]
[2025-04-19 19:18:43,105 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 19:18:43,106 INFO] 91136 iteration, USE_EMA: True, train/sup_loss: 0.1937, train/aux_loss: 0.2020, train/total_loss: 0.3957, train/util_ratio: 0.7924, train/run_time: 0.1506, eval/loss: 0.7382, eval/top-1-acc: 0.8169, eval/top-5-acc: 0.9821, eval/balanced_acc: 0.8169, eval/precision: 0.8168, eval/recall: 0.8169, eval/F1: 0.8145, lr: 0.0266, train/prefecth_time: 0.0990 BEST_EVAL_ACC: 0.8207, at 80896 iters
[2025-04-19 19:19:41,998 INFO] 91392 iteration USE_EMA: True, train/sup_loss: 0.1333, train/aux_loss: 0.1733, train/total_loss: 0.3066, train/util_ratio: 0.7857, train/run_time: 0.1569, lr: 0.0266, train/prefecth_time: 0.0786 
[2025-04-19 19:20:52,718 INFO] 91648 iteration USE_EMA: True, train/sup_loss: 0.0962, train/aux_loss: 0.1774, train/total_loss: 0.2736, train/util_ratio: 0.7679, train/run_time: 0.1550, lr: 0.0266, train/prefecth_time: 0.0430 
[2025-04-19 19:21:57,617 INFO] 91904 iteration USE_EMA: True, train/sup_loss: 0.1389, train/aux_loss: 0.2125, train/total_loss: 0.3514, train/util_ratio: 0.7746, train/run_time: 0.1534, lr: 0.0266, train/prefecth_time: 0.0077 
[2025-04-19 19:56:28,818 INFO] validating...
[2025-04-19 19:56:31,781 INFO] confusion matrix:
[[0.884 0.003 0.03  0.003 0.01  0.004 0.004 0.003 0.039 0.02 ]
 [0.006 0.939 0.002 0.001 0.001 0.002 0.002 0.001 0.007 0.039]
 [0.082 0.    0.661 0.026 0.055 0.069 0.09  0.01  0.004 0.003]
 [0.023 0.003 0.073 0.517 0.047 0.222 0.081 0.017 0.007 0.01 ]
 [0.013 0.    0.047 0.018 0.815 0.027 0.032 0.045 0.002 0.001]
 [0.008 0.    0.038 0.075 0.023 0.782 0.022 0.05  0.    0.002]
 [0.006 0.    0.01  0.04  0.005 0.001 0.935 0.001 0.001 0.001]
 [0.011 0.003 0.035 0.027 0.036 0.052 0.008 0.823 0.004 0.001]
 [0.022 0.007 0.002 0.004 0.003 0.002 0.002 0.    0.861 0.097]
 [0.008 0.028 0.002 0.006 0.001 0.002 0.001 0.003 0.01  0.939]]
[2025-04-19 19:56:33,363 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 19:56:33,365 INFO] 92160 iteration, USE_EMA: True, train/sup_loss: 0.2020, train/aux_loss: 0.1927, train/total_loss: 0.3947, train/util_ratio: 0.7679, train/run_time: 0.3917, eval/loss: 0.7310, eval/top-1-acc: 0.8156, eval/top-5-acc: 0.9819, eval/balanced_acc: 0.8156, eval/precision: 0.8156, eval/recall: 0.8156, eval/F1: 0.8122, lr: 0.0266, train/prefecth_time: 0.0065 BEST_EVAL_ACC: 0.8207, at 80896 iters
[2025-04-19 19:58:41,440 INFO] select_ulb_dist:
[   0.   22.   45.  244.  343.  887. 4451.  587. 2371. 1975.]
[2025-04-19 19:58:41,445 INFO] lb_select_ulb_dist:
[ 400.  261.  188.  330.  394.  917. 4469.  598. 2377. 1979.]
[2025-04-19 19:58:41,464 INFO] 90: Update the labeled data.
[2025-04-19 20:00:19,038 INFO] 92416 iteration USE_EMA: True, train/sup_loss: 0.5260, train/aux_loss: 0.7668, train/total_loss: 1.2929, train/util_ratio: 0.5246, train/run_time: 0.1484, lr: 0.0265, train/prefecth_time: 0.0069 
[2025-04-19 20:01:24,525 INFO] 92672 iteration USE_EMA: True, train/sup_loss: 0.1729, train/aux_loss: 0.3570, train/total_loss: 0.5299, train/util_ratio: 0.6674, train/run_time: 0.3865, lr: 0.0265, train/prefecth_time: 0.0064 
[2025-04-19 20:02:30,821 INFO] 92928 iteration USE_EMA: True, train/sup_loss: 0.2531, train/aux_loss: 0.5452, train/total_loss: 0.7983, train/util_ratio: 0.5915, train/run_time: 0.1531, lr: 0.0265, train/prefecth_time: 0.0058 
[2025-04-19 20:03:39,106 INFO] validating...
[2025-04-19 20:03:42,331 INFO] confusion matrix:
[[0.898 0.002 0.027 0.002 0.011 0.004 0.003 0.004 0.035 0.014]
 [0.007 0.948 0.004 0.002 0.001 0.002 0.003 0.    0.01  0.023]
 [0.069 0.    0.727 0.023 0.053 0.051 0.059 0.009 0.005 0.004]
 [0.027 0.004 0.081 0.54  0.051 0.195 0.066 0.022 0.005 0.009]
 [0.013 0.    0.047 0.018 0.823 0.021 0.029 0.047 0.001 0.001]
 [0.007 0.001 0.048 0.084 0.029 0.762 0.017 0.051 0.    0.001]
 [0.007 0.    0.015 0.043 0.009 0.001 0.922 0.001 0.001 0.001]
 [0.01  0.001 0.035 0.035 0.031 0.048 0.008 0.827 0.004 0.001]
 [0.027 0.009 0.002 0.004 0.002 0.001 0.002 0.    0.852 0.101]
 [0.01  0.041 0.002 0.007 0.001 0.002 0.002 0.001 0.009 0.925]]
[2025-04-19 20:03:43,175 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 20:03:46,347 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-19 20:03:46,348 INFO] 93184 iteration, USE_EMA: True, train/sup_loss: 0.1028, train/aux_loss: 0.3646, train/total_loss: 0.4674, train/util_ratio: 0.7188, train/run_time: 0.3735, eval/loss: 0.7277, eval/top-1-acc: 0.8224, eval/top-5-acc: 0.9822, eval/balanced_acc: 0.8224, eval/precision: 0.8211, eval/recall: 0.8224, eval/F1: 0.8198, lr: 0.0265, train/prefecth_time: 0.0064 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-19 20:05:00,861 INFO] 93440 iteration USE_EMA: True, train/sup_loss: 0.1352, train/aux_loss: 0.2430, train/total_loss: 0.3782, train/util_ratio: 0.7656, train/run_time: 0.1566, lr: 0.0265, train/prefecth_time: 0.0073 
[2025-04-19 20:06:10,881 INFO] 93696 iteration USE_EMA: True, train/sup_loss: 0.1272, train/aux_loss: 0.1781, train/total_loss: 0.3053, train/util_ratio: 0.7522, train/run_time: 0.2130, lr: 0.0265, train/prefecth_time: 0.0072 
[2025-04-19 20:07:23,061 INFO] 93952 iteration USE_EMA: True, train/sup_loss: 0.1195, train/aux_loss: 0.2212, train/total_loss: 0.3407, train/util_ratio: 0.8013, train/run_time: 0.1753, lr: 0.0264, train/prefecth_time: 0.0065 
[2025-04-19 20:08:34,081 INFO] validating...
[2025-04-19 20:08:36,672 INFO] confusion matrix:
[[0.886 0.005 0.028 0.002 0.008 0.005 0.005 0.006 0.04  0.015]
 [0.008 0.937 0.002 0.002 0.    0.002 0.003 0.    0.01  0.036]
 [0.068 0.    0.693 0.024 0.058 0.057 0.078 0.012 0.005 0.005]
 [0.025 0.004 0.067 0.537 0.047 0.202 0.081 0.021 0.005 0.011]
 [0.012 0.    0.046 0.017 0.812 0.024 0.035 0.05  0.003 0.001]
 [0.009 0.002 0.039 0.084 0.028 0.77  0.016 0.05  0.001 0.001]
 [0.006 0.    0.01  0.041 0.007 0.002 0.931 0.002 0.001 0.   ]
 [0.011 0.001 0.027 0.036 0.03  0.049 0.006 0.836 0.004 0.   ]
 [0.021 0.009 0.    0.004 0.002 0.002 0.002 0.    0.856 0.104]
 [0.009 0.031 0.002 0.005 0.002 0.002 0.003 0.001 0.01  0.935]]
[2025-04-19 20:08:37,681 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 20:08:37,682 INFO] 94208 iteration, USE_EMA: True, train/sup_loss: 0.1350, train/aux_loss: 0.5378, train/total_loss: 0.6727, train/util_ratio: 0.5826, train/run_time: 0.2403, eval/loss: 0.7369, eval/top-1-acc: 0.8193, eval/top-5-acc: 0.9819, eval/balanced_acc: 0.8193, eval/precision: 0.8184, eval/recall: 0.8193, eval/F1: 0.8163, lr: 0.0264, train/prefecth_time: 0.0044 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-19 20:09:53,284 INFO] 94464 iteration USE_EMA: True, train/sup_loss: 0.4185, train/aux_loss: 0.4388, train/total_loss: 0.8573, train/util_ratio: 0.6853, train/run_time: 0.3680, lr: 0.0264, train/prefecth_time: 0.0043 
[2025-04-19 20:11:04,867 INFO] 94720 iteration USE_EMA: True, train/sup_loss: 0.1381, train/aux_loss: 0.2846, train/total_loss: 0.4227, train/util_ratio: 0.7478, train/run_time: 0.1865, lr: 0.0264, train/prefecth_time: 0.0085 
[2025-04-19 20:12:15,687 INFO] 94976 iteration USE_EMA: True, train/sup_loss: 0.1215, train/aux_loss: 0.2072, train/total_loss: 0.3287, train/util_ratio: 0.7634, train/run_time: 0.1584, lr: 0.0264, train/prefecth_time: 0.0066 
[2025-04-19 20:13:27,183 INFO] validating...
[2025-04-19 20:13:29,802 INFO] confusion matrix:
[[0.888 0.004 0.031 0.002 0.01  0.004 0.004 0.003 0.037 0.017]
 [0.009 0.939 0.002 0.002 0.    0.002 0.002 0.    0.008 0.036]
 [0.074 0.001 0.681 0.028 0.058 0.056 0.087 0.008 0.004 0.003]
 [0.032 0.005 0.064 0.538 0.042 0.2   0.084 0.02  0.003 0.012]
 [0.01  0.    0.048 0.017 0.817 0.021 0.037 0.047 0.002 0.001]
 [0.009 0.002 0.032 0.095 0.028 0.763 0.016 0.052 0.001 0.002]
 [0.007 0.    0.011 0.044 0.005 0.003 0.927 0.002 0.001 0.   ]
 [0.013 0.002 0.031 0.036 0.033 0.049 0.007 0.826 0.002 0.001]
 [0.023 0.008 0.001 0.007 0.001 0.    0.002 0.    0.854 0.104]
 [0.01  0.036 0.003 0.005 0.001 0.001 0.001 0.001 0.008 0.934]]
[2025-04-19 20:13:30,732 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 20:13:30,733 INFO] 95232 iteration, USE_EMA: True, train/sup_loss: 0.0783, train/aux_loss: 0.2645, train/total_loss: 0.3428, train/util_ratio: 0.7723, train/run_time: 0.1544, eval/loss: 0.7495, eval/top-1-acc: 0.8167, eval/top-5-acc: 0.9823, eval/balanced_acc: 0.8167, eval/precision: 0.8157, eval/recall: 0.8167, eval/F1: 0.8138, lr: 0.0263, train/prefecth_time: 0.0052 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-19 20:14:46,437 INFO] 95488 iteration USE_EMA: True, train/sup_loss: 0.1349, train/aux_loss: 0.1914, train/total_loss: 0.3264, train/util_ratio: 0.8147, train/run_time: 0.1512, lr: 0.0263, train/prefecth_time: 0.0097 
[2025-04-19 20:15:58,212 INFO] 95744 iteration USE_EMA: True, train/sup_loss: 0.1319, train/aux_loss: 0.1751, train/total_loss: 0.3070, train/util_ratio: 0.7879, train/run_time: 0.2484, lr: 0.0263, train/prefecth_time: 0.0064 
[2025-04-19 20:17:09,876 INFO] 96000 iteration USE_EMA: True, train/sup_loss: 0.1196, train/aux_loss: 0.1961, train/total_loss: 0.3157, train/util_ratio: 0.7746, train/run_time: 0.1612, lr: 0.0263, train/prefecth_time: 0.0072 
[2025-04-19 20:18:23,077 INFO] validating...
[2025-04-19 20:18:26,373 INFO] confusion matrix:
[[0.888 0.003 0.029 0.002 0.008 0.005 0.004 0.002 0.042 0.017]
 [0.007 0.931 0.003 0.002 0.    0.002 0.002 0.    0.01  0.043]
 [0.075 0.001 0.67  0.025 0.063 0.061 0.086 0.011 0.004 0.004]
 [0.027 0.005 0.064 0.521 0.047 0.213 0.083 0.021 0.005 0.014]
 [0.014 0.    0.04  0.016 0.818 0.022 0.041 0.047 0.001 0.001]
 [0.009 0.001 0.029 0.086 0.027 0.775 0.019 0.051 0.001 0.002]
 [0.006 0.    0.009 0.039 0.007 0.003 0.933 0.002 0.001 0.   ]
 [0.013 0.001 0.027 0.027 0.032 0.05  0.005 0.842 0.003 0.   ]
 [0.022 0.007 0.003 0.005 0.001 0.    0.003 0.    0.859 0.1  ]
 [0.008 0.027 0.003 0.004 0.001 0.001 0.002 0.002 0.007 0.945]]
[2025-04-19 20:18:27,122 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 20:18:27,123 INFO] 96256 iteration, USE_EMA: True, train/sup_loss: 0.0726, train/aux_loss: 0.1714, train/total_loss: 0.2440, train/util_ratio: 0.7589, train/run_time: 0.3668, eval/loss: 0.7379, eval/top-1-acc: 0.8182, eval/top-5-acc: 0.9811, eval/balanced_acc: 0.8182, eval/precision: 0.8177, eval/recall: 0.8182, eval/F1: 0.8147, lr: 0.0263, train/prefecth_time: 0.0068 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-19 20:19:41,696 INFO] 96512 iteration USE_EMA: True, train/sup_loss: 0.1371, train/aux_loss: 0.1897, train/total_loss: 0.3267, train/util_ratio: 0.7857, train/run_time: 0.3675, lr: 0.0262, train/prefecth_time: 0.0134 
[2025-04-19 20:20:55,590 INFO] 96768 iteration USE_EMA: True, train/sup_loss: 0.1423, train/aux_loss: 0.1688, train/total_loss: 0.3111, train/util_ratio: 0.7969, train/run_time: 0.1768, lr: 0.0262, train/prefecth_time: 0.0077 
[2025-04-19 20:22:11,758 INFO] 97024 iteration USE_EMA: True, train/sup_loss: 0.3235, train/aux_loss: 0.7969, train/total_loss: 1.1205, train/util_ratio: 0.4531, train/run_time: 0.2094, lr: 0.0262, train/prefecth_time: 0.0066 
[2025-04-19 20:23:26,282 INFO] validating...
[2025-04-19 20:23:28,895 INFO] confusion matrix:
[[0.881 0.005 0.035 0.004 0.011 0.006 0.006 0.001 0.036 0.015]
 [0.007 0.942 0.003 0.002 0.    0.002 0.004 0.    0.006 0.034]
 [0.066 0.    0.691 0.022 0.063 0.052 0.092 0.007 0.004 0.003]
 [0.018 0.004 0.081 0.518 0.052 0.193 0.101 0.017 0.004 0.012]
 [0.011 0.    0.053 0.014 0.821 0.017 0.046 0.037 0.    0.001]
 [0.008 0.001 0.042 0.09  0.03  0.759 0.02  0.049 0.    0.001]
 [0.004 0.    0.01  0.036 0.004 0.001 0.942 0.001 0.001 0.001]
 [0.011 0.001 0.038 0.029 0.042 0.048 0.006 0.822 0.003 0.   ]
 [0.021 0.007 0.006 0.004 0.002 0.    0.003 0.    0.853 0.104]
 [0.009 0.041 0.003 0.005 0.002 0.002 0.003 0.002 0.009 0.924]]
[2025-04-19 20:23:29,773 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 20:23:29,774 INFO] 97280 iteration, USE_EMA: True, train/sup_loss: 0.1458, train/aux_loss: 0.5540, train/total_loss: 0.6998, train/util_ratio: 0.5647, train/run_time: 0.3424, eval/loss: 0.7121, eval/top-1-acc: 0.8153, eval/top-5-acc: 0.9826, eval/balanced_acc: 0.8153, eval/precision: 0.8151, eval/recall: 0.8153, eval/F1: 0.8121, lr: 0.0262, train/prefecth_time: 0.0051 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-19 20:25:42,493 INFO] select_ulb_dist:
[   0.    0.   40.  253.  345.  891. 4451.  588. 2376. 1975.]
[2025-04-19 20:25:42,512 INFO] lb_select_ulb_dist:
[ 400.  239.  183.  339.  396.  921. 4469.  599. 2382. 1979.]
[2025-04-19 20:25:42,521 INFO] 95: Update the labeled data.
[2025-04-19 20:27:28,370 INFO] 97536 iteration USE_EMA: True, train/sup_loss: 0.3193, train/aux_loss: 0.3997, train/total_loss: 0.7190, train/util_ratio: 0.6987, train/run_time: 0.3795, lr: 0.0262, train/prefecth_time: 0.0067 
[2025-04-19 20:28:45,215 INFO] 97792 iteration USE_EMA: True, train/sup_loss: 0.0749, train/aux_loss: 0.2907, train/total_loss: 0.3657, train/util_ratio: 0.7188, train/run_time: 0.3638, lr: 0.0261, train/prefecth_time: 0.0107 
[2025-04-19 20:30:02,939 INFO] 98048 iteration USE_EMA: True, train/sup_loss: 0.2132, train/aux_loss: 0.2140, train/total_loss: 0.4272, train/util_ratio: 0.7857, train/run_time: 0.3344, lr: 0.0261, train/prefecth_time: 0.0066 
[2025-04-19 20:31:22,564 INFO] validating...
[2025-04-19 20:31:25,306 INFO] confusion matrix:
[[0.875 0.003 0.032 0.005 0.017 0.005 0.005 0.    0.04  0.018]
 [0.01  0.935 0.003 0.001 0.001 0.002 0.004 0.    0.007 0.037]
 [0.068 0.    0.682 0.02  0.085 0.052 0.081 0.006 0.004 0.002]
 [0.022 0.003 0.083 0.516 0.06  0.194 0.093 0.014 0.004 0.011]
 [0.01  0.    0.045 0.015 0.844 0.017 0.039 0.03  0.    0.   ]
 [0.008 0.    0.051 0.081 0.034 0.76  0.019 0.046 0.    0.001]
 [0.005 0.    0.013 0.04  0.003 0.002 0.934 0.001 0.001 0.001]
 [0.01  0.001 0.045 0.028 0.052 0.051 0.008 0.802 0.003 0.   ]
 [0.022 0.007 0.005 0.005 0.003 0.    0.002 0.    0.853 0.103]
 [0.01  0.032 0.004 0.006 0.002 0.003 0.002 0.001 0.008 0.932]]
[2025-04-19 20:31:25,889 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 20:31:25,896 INFO] 98304 iteration, USE_EMA: True, train/sup_loss: 0.2292, train/aux_loss: 0.1184, train/total_loss: 0.3476, train/util_ratio: 0.8170, train/run_time: 0.1625, eval/loss: 0.7119, eval/top-1-acc: 0.8133, eval/top-5-acc: 0.9811, eval/balanced_acc: 0.8133, eval/precision: 0.8137, eval/recall: 0.8133, eval/F1: 0.8102, lr: 0.0261, train/prefecth_time: 0.0074 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-19 20:32:47,177 INFO] 98560 iteration USE_EMA: True, train/sup_loss: 0.2307, train/aux_loss: 0.2064, train/total_loss: 0.4371, train/util_ratio: 0.7656, train/run_time: 0.3296, lr: 0.0261, train/prefecth_time: 0.0090 
[2025-04-19 20:34:05,571 INFO] 98816 iteration USE_EMA: True, train/sup_loss: 0.0511, train/aux_loss: 0.1860, train/total_loss: 0.2371, train/util_ratio: 0.7656, train/run_time: 0.3015, lr: 0.0261, train/prefecth_time: 0.0067 
[2025-04-19 20:35:12,951 INFO] 99072 iteration USE_EMA: True, train/sup_loss: 0.5945, train/aux_loss: 0.8001, train/total_loss: 1.3947, train/util_ratio: 0.5491, train/run_time: 0.1816, lr: 0.0260, train/prefecth_time: 0.0073 
[2025-04-19 20:36:19,603 INFO] validating...
[2025-04-19 20:36:22,521 INFO] confusion matrix:
[[0.883 0.004 0.03  0.003 0.012 0.006 0.005 0.001 0.039 0.017]
 [0.008 0.94  0.002 0.001 0.001 0.002 0.004 0.    0.008 0.034]
 [0.068 0.    0.7   0.02  0.077 0.05  0.067 0.009 0.005 0.004]
 [0.019 0.003 0.073 0.544 0.055 0.188 0.085 0.018 0.005 0.01 ]
 [0.011 0.    0.043 0.022 0.837 0.018 0.034 0.034 0.001 0.   ]
 [0.008 0.    0.044 0.088 0.035 0.761 0.017 0.046 0.    0.001]
 [0.005 0.    0.017 0.04  0.004 0.002 0.929 0.001 0.001 0.001]
 [0.01  0.001 0.039 0.027 0.041 0.044 0.009 0.826 0.003 0.   ]
 [0.023 0.006 0.004 0.003 0.002 0.    0.002 0.    0.852 0.108]
 [0.009 0.036 0.004 0.005 0.001 0.002 0.003 0.001 0.01  0.929]]
[2025-04-19 20:36:22,848 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 20:36:22,850 INFO] 99328 iteration, USE_EMA: True, train/sup_loss: 0.2489, train/aux_loss: 0.3298, train/total_loss: 0.5787, train/util_ratio: 0.6763, train/run_time: 0.2625, eval/loss: 0.7168, eval/top-1-acc: 0.8201, eval/top-5-acc: 0.9830, eval/balanced_acc: 0.8201, eval/precision: 0.8195, eval/recall: 0.8201, eval/F1: 0.8174, lr: 0.0260, train/prefecth_time: 0.0059 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-19 20:37:32,109 INFO] 99584 iteration USE_EMA: True, train/sup_loss: 0.2262, train/aux_loss: 0.2355, train/total_loss: 0.4617, train/util_ratio: 0.7835, train/run_time: 0.1965, lr: 0.0260, train/prefecth_time: 0.0095 
[2025-04-19 20:38:38,864 INFO] 99840 iteration USE_EMA: True, train/sup_loss: 0.0686, train/aux_loss: 0.4376, train/total_loss: 0.5062, train/util_ratio: 0.6652, train/run_time: 0.2099, lr: 0.0260, train/prefecth_time: 0.0075 
[2025-04-19 20:39:45,563 INFO] 100096 iteration USE_EMA: True, train/sup_loss: 0.3067, train/aux_loss: 0.4269, train/total_loss: 0.7336, train/util_ratio: 0.6830, train/run_time: 0.2096, lr: 0.0260, train/prefecth_time: 0.0635 
[2025-04-19 20:40:53,013 INFO] validating...
[2025-04-19 20:40:56,154 INFO] confusion matrix:
[[0.881 0.006 0.035 0.004 0.007 0.005 0.005 0.002 0.035 0.02 ]
 [0.005 0.944 0.004 0.001 0.    0.002 0.003 0.    0.004 0.037]
 [0.063 0.    0.721 0.018 0.066 0.05  0.065 0.008 0.005 0.004]
 [0.022 0.003 0.075 0.541 0.042 0.191 0.09  0.018 0.006 0.012]
 [0.011 0.    0.053 0.016 0.825 0.021 0.032 0.042 0.    0.   ]
 [0.008 0.002 0.042 0.089 0.03  0.762 0.018 0.048 0.    0.001]
 [0.006 0.    0.021 0.039 0.004 0.002 0.924 0.001 0.001 0.002]
 [0.009 0.001 0.038 0.031 0.039 0.047 0.009 0.82  0.004 0.002]
 [0.023 0.007 0.003 0.004 0.002 0.    0.003 0.    0.841 0.117]
 [0.006 0.033 0.003 0.004 0.    0.003 0.002 0.001 0.01  0.938]]
[2025-04-19 20:40:56,746 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 20:40:56,747 INFO] 100352 iteration, USE_EMA: True, train/sup_loss: 0.2419, train/aux_loss: 0.2903, train/total_loss: 0.5323, train/util_ratio: 0.6942, train/run_time: 0.1797, eval/loss: 0.7448, eval/top-1-acc: 0.8197, eval/top-5-acc: 0.9808, eval/balanced_acc: 0.8197, eval/precision: 0.8196, eval/recall: 0.8197, eval/F1: 0.8171, lr: 0.0259, train/prefecth_time: 0.0079 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-19 20:42:07,050 INFO] 100608 iteration USE_EMA: True, train/sup_loss: 0.2460, train/aux_loss: 0.3164, train/total_loss: 0.5624, train/util_ratio: 0.7121, train/run_time: 0.1713, lr: 0.0259, train/prefecth_time: 0.0149 
[2025-04-19 20:43:07,686 INFO] 100864 iteration USE_EMA: True, train/sup_loss: 0.0630, train/aux_loss: 0.2692, train/total_loss: 0.3322, train/util_ratio: 0.7768, train/run_time: 0.1624, lr: 0.0259, train/prefecth_time: 0.0048 
[2025-04-19 20:44:14,814 INFO] 101120 iteration USE_EMA: True, train/sup_loss: 0.1970, train/aux_loss: 0.1839, train/total_loss: 0.3809, train/util_ratio: 0.8080, train/run_time: 0.4197, lr: 0.0259, train/prefecth_time: 0.0086 
[2025-04-19 20:45:54,024 INFO] validating...
[2025-04-19 20:45:57,287 INFO] confusion matrix:
[[0.878 0.007 0.035 0.003 0.006 0.007 0.005 0.001 0.038 0.02 ]
 [0.007 0.934 0.003 0.001 0.    0.002 0.004 0.    0.006 0.043]
 [0.07  0.001 0.7   0.021 0.058 0.064 0.07  0.01  0.003 0.003]
 [0.021 0.004 0.071 0.547 0.042 0.199 0.08  0.017 0.007 0.012]
 [0.011 0.    0.055 0.021 0.811 0.022 0.033 0.045 0.001 0.001]
 [0.008 0.001 0.038 0.082 0.026 0.771 0.018 0.053 0.001 0.002]
 [0.007 0.001 0.011 0.043 0.003 0.003 0.929 0.001 0.001 0.001]
 [0.012 0.001 0.024 0.03  0.033 0.048 0.009 0.838 0.005 0.   ]
 [0.021 0.007 0.003 0.004 0.003 0.001 0.002 0.    0.852 0.107]
 [0.01  0.03  0.002 0.005 0.    0.002 0.001 0.002 0.009 0.939]]
[2025-04-19 20:45:57,901 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 20:45:57,903 INFO] 101376 iteration, USE_EMA: True, train/sup_loss: 0.2306, train/aux_loss: 0.1388, train/total_loss: 0.3695, train/util_ratio: 0.8058, train/run_time: 0.5787, eval/loss: 0.7431, eval/top-1-acc: 0.8199, eval/top-5-acc: 0.9816, eval/balanced_acc: 0.8199, eval/precision: 0.8197, eval/recall: 0.8199, eval/F1: 0.8173, lr: 0.0259, train/prefecth_time: 0.0089 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-19 20:48:07,945 INFO] 101632 iteration USE_EMA: True, train/sup_loss: 0.2367, train/aux_loss: 0.1291, train/total_loss: 0.3658, train/util_ratio: 0.8170, train/run_time: 0.3052, lr: 0.0258, train/prefecth_time: 0.0128 
[2025-04-19 20:50:09,858 INFO] 101888 iteration USE_EMA: True, train/sup_loss: 0.0548, train/aux_loss: 0.1496, train/total_loss: 0.2044, train/util_ratio: 0.8080, train/run_time: 0.4348, lr: 0.0258, train/prefecth_time: 0.0086 
[2025-04-19 20:52:15,793 INFO] 102144 iteration USE_EMA: True, train/sup_loss: 0.1962, train/aux_loss: 0.1706, train/total_loss: 0.3668, train/util_ratio: 0.7902, train/run_time: 0.9774, lr: 0.0258, train/prefecth_time: 0.0046 
[2025-04-19 20:54:13,223 INFO] validating...
[2025-04-19 20:54:16,462 INFO] confusion matrix:
[[0.887 0.005 0.028 0.004 0.005 0.007 0.006 0.001 0.039 0.018]
 [0.006 0.933 0.003 0.001 0.001 0.002 0.004 0.    0.004 0.046]
 [0.073 0.002 0.675 0.025 0.069 0.063 0.076 0.011 0.004 0.002]
 [0.02  0.003 0.074 0.534 0.052 0.199 0.085 0.019 0.005 0.009]
 [0.01  0.    0.048 0.018 0.815 0.021 0.034 0.053 0.    0.001]
 [0.008 0.    0.039 0.081 0.027 0.773 0.02  0.049 0.001 0.002]
 [0.006 0.    0.007 0.038 0.003 0.003 0.939 0.002 0.001 0.001]
 [0.013 0.001 0.021 0.03  0.032 0.047 0.008 0.843 0.005 0.   ]
 [0.022 0.01  0.003 0.003 0.002 0.001 0.002 0.    0.856 0.101]
 [0.009 0.025 0.004 0.004 0.    0.002 0.001 0.002 0.007 0.946]]
[2025-04-19 20:54:16,844 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 20:54:16,845 INFO] 102400 iteration, USE_EMA: True, train/sup_loss: 0.3180, train/aux_loss: 0.5228, train/total_loss: 0.8407, train/util_ratio: 0.4933, train/run_time: 0.3947, eval/loss: 0.7128, eval/top-1-acc: 0.8201, eval/top-5-acc: 0.9818, eval/balanced_acc: 0.8201, eval/precision: 0.8196, eval/recall: 0.8201, eval/F1: 0.8169, lr: 0.0258, train/prefecth_time: 0.0065 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-19 20:56:58,034 INFO] select_ulb_dist:
[   0.    0.   34.  254.  345.  892. 4454.  591. 2378. 1975.]
[2025-04-19 20:56:58,060 INFO] lb_select_ulb_dist:
[ 400.  239.  177.  340.  396.  922. 4472.  602. 2384. 1979.]
[2025-04-19 20:56:58,071 INFO] 100: Update the labeled data.
[2025-04-19 20:59:40,153 INFO] 102656 iteration USE_EMA: True, train/sup_loss: 0.2174, train/aux_loss: 0.5296, train/total_loss: 0.7470, train/util_ratio: 0.6562, train/run_time: 0.5754, lr: 0.0258, train/prefecth_time: 0.0070 
[2025-04-19 21:01:20,115 INFO] 102912 iteration USE_EMA: True, train/sup_loss: 0.2914, train/aux_loss: 0.5238, train/total_loss: 0.8153, train/util_ratio: 0.6540, train/run_time: 0.1759, lr: 0.0257, train/prefecth_time: 0.0051 
[2025-04-19 21:02:26,107 INFO] 103168 iteration USE_EMA: True, train/sup_loss: 0.2674, train/aux_loss: 0.3811, train/total_loss: 0.6485, train/util_ratio: 0.6674, train/run_time: 0.1687, lr: 0.0257, train/prefecth_time: 0.0976 
[2025-04-19 21:03:30,404 INFO] validating...
[2025-04-19 21:03:33,083 INFO] confusion matrix:
[[0.862 0.007 0.037 0.004 0.011 0.006 0.005 0.002 0.047 0.019]
 [0.004 0.942 0.003 0.001 0.    0.002 0.004 0.    0.006 0.038]
 [0.054 0.001 0.731 0.027 0.059 0.048 0.066 0.007 0.004 0.003]
 [0.018 0.003 0.083 0.561 0.049 0.16  0.092 0.017 0.006 0.011]
 [0.008 0.    0.066 0.017 0.82  0.02  0.033 0.034 0.002 0.   ]
 [0.006 0.001 0.053 0.096 0.028 0.738 0.026 0.049 0.001 0.002]
 [0.007 0.    0.012 0.038 0.004 0.    0.936 0.001 0.001 0.001]
 [0.011 0.002 0.038 0.042 0.05  0.041 0.008 0.805 0.002 0.001]
 [0.022 0.009 0.007 0.005 0.001 0.    0.003 0.    0.854 0.099]
 [0.006 0.03  0.003 0.006 0.001 0.001 0.001 0.001 0.01  0.941]]
[2025-04-19 21:03:33,830 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 21:03:33,831 INFO] 103424 iteration, USE_EMA: True, train/sup_loss: 0.1945, train/aux_loss: 0.2584, train/total_loss: 0.4530, train/util_ratio: 0.7612, train/run_time: 0.1814, eval/loss: 0.7106, eval/top-1-acc: 0.8190, eval/top-5-acc: 0.9819, eval/balanced_acc: 0.8190, eval/precision: 0.8185, eval/recall: 0.8190, eval/F1: 0.8168, lr: 0.0257, train/prefecth_time: 0.0062 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-19 21:04:38,038 INFO] 103680 iteration USE_EMA: True, train/sup_loss: 0.1210, train/aux_loss: 0.2119, train/total_loss: 0.3330, train/util_ratio: 0.7946, train/run_time: 0.2271, lr: 0.0257, train/prefecth_time: 0.0204 
[2025-04-19 21:05:39,969 INFO] 103936 iteration USE_EMA: True, train/sup_loss: 0.1624, train/aux_loss: 0.1791, train/total_loss: 0.3415, train/util_ratio: 0.7634, train/run_time: 0.2663, lr: 0.0257, train/prefecth_time: 0.0083 
[2025-04-19 21:06:40,882 INFO] 104192 iteration USE_EMA: True, train/sup_loss: 0.1893, train/aux_loss: 0.1860, train/total_loss: 0.3753, train/util_ratio: 0.7746, train/run_time: 0.1734, lr: 0.0256, train/prefecth_time: 0.0112 
[2025-04-19 21:07:42,584 INFO] validating...
[2025-04-19 21:07:45,507 INFO] confusion matrix:
[[0.882 0.005 0.026 0.003 0.005 0.005 0.007 0.002 0.046 0.019]
 [0.005 0.938 0.002 0.    0.    0.001 0.004 0.001 0.009 0.04 ]
 [0.067 0.    0.684 0.022 0.063 0.061 0.084 0.009 0.005 0.005]
 [0.022 0.004 0.067 0.535 0.049 0.194 0.09  0.018 0.008 0.013]
 [0.017 0.    0.054 0.018 0.808 0.026 0.034 0.04  0.002 0.001]
 [0.008 0.001 0.037 0.087 0.028 0.764 0.025 0.047 0.001 0.002]
 [0.008 0.    0.008 0.034 0.005 0.001 0.94  0.002 0.001 0.001]
 [0.011 0.002 0.03  0.026 0.04  0.051 0.007 0.829 0.002 0.002]
 [0.021 0.007 0.007 0.007 0.002 0.001 0.001 0.    0.85  0.104]
 [0.008 0.022 0.003 0.002 0.001 0.001 0.001 0.001 0.011 0.95 ]]
[2025-04-19 21:07:46,009 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 21:07:46,010 INFO] 104448 iteration, USE_EMA: True, train/sup_loss: 0.1716, train/aux_loss: 0.1625, train/total_loss: 0.3341, train/util_ratio: 0.8103, train/run_time: 0.1828, eval/loss: 0.7353, eval/top-1-acc: 0.8180, eval/top-5-acc: 0.9807, eval/balanced_acc: 0.8180, eval/precision: 0.8178, eval/recall: 0.8180, eval/F1: 0.8148, lr: 0.0256, train/prefecth_time: 0.0590 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-19 21:08:48,032 INFO] 104704 iteration USE_EMA: True, train/sup_loss: 0.1144, train/aux_loss: 0.1876, train/total_loss: 0.3020, train/util_ratio: 0.7679, train/run_time: 0.1747, lr: 0.0256, train/prefecth_time: 0.0051 
[2025-04-19 21:09:48,673 INFO] 104960 iteration USE_EMA: True, train/sup_loss: 0.1629, train/aux_loss: 0.1899, train/total_loss: 0.3527, train/util_ratio: 0.7701, train/run_time: 0.3540, lr: 0.0256, train/prefecth_time: 0.0139 
[2025-04-19 21:10:50,028 INFO] 105216 iteration USE_EMA: True, train/sup_loss: 0.1757, train/aux_loss: 0.2055, train/total_loss: 0.3812, train/util_ratio: 0.8013, train/run_time: 0.1990, lr: 0.0255, train/prefecth_time: 0.0673 
[2025-04-19 21:11:48,828 INFO] validating...
[2025-04-19 21:11:51,596 INFO] confusion matrix:
[[0.876 0.004 0.027 0.003 0.01  0.008 0.006 0.002 0.047 0.017]
 [0.005 0.932 0.001 0.    0.001 0.001 0.004 0.001 0.008 0.047]
 [0.067 0.    0.671 0.022 0.062 0.069 0.089 0.01  0.006 0.004]
 [0.02  0.005 0.062 0.513 0.049 0.216 0.092 0.021 0.007 0.015]
 [0.011 0.    0.047 0.019 0.812 0.027 0.038 0.042 0.003 0.001]
 [0.009 0.    0.036 0.077 0.028 0.773 0.023 0.05  0.001 0.003]
 [0.007 0.    0.008 0.031 0.004 0.    0.946 0.002 0.001 0.001]
 [0.012 0.002 0.029 0.024 0.042 0.048 0.006 0.833 0.002 0.002]
 [0.018 0.007 0.004 0.003 0.003 0.002 0.001 0.    0.857 0.105]
 [0.005 0.018 0.003 0.004 0.001 0.002 0.001 0.    0.011 0.955]]
[2025-04-19 21:11:53,707 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 21:11:53,708 INFO] 105472 iteration, USE_EMA: True, train/sup_loss: 0.1808, train/aux_loss: 0.2483, train/total_loss: 0.4291, train/util_ratio: 0.7656, train/run_time: 0.1803, eval/loss: 0.7391, eval/top-1-acc: 0.8168, eval/top-5-acc: 0.9806, eval/balanced_acc: 0.8168, eval/precision: 0.8173, eval/recall: 0.8168, eval/F1: 0.8131, lr: 0.0255, train/prefecth_time: 0.0059 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-19 21:12:55,649 INFO] 105728 iteration USE_EMA: True, train/sup_loss: 0.2297, train/aux_loss: 0.5639, train/total_loss: 0.7935, train/util_ratio: 0.6272, train/run_time: 0.2256, lr: 0.0255, train/prefecth_time: 0.0068 
[2025-04-19 21:13:53,371 INFO] 105984 iteration USE_EMA: True, train/sup_loss: 0.3106, train/aux_loss: 0.4838, train/total_loss: 0.7944, train/util_ratio: 0.6808, train/run_time: 0.1645, lr: 0.0255, train/prefecth_time: 0.0077 
[2025-04-19 21:14:53,321 INFO] 106240 iteration USE_EMA: True, train/sup_loss: 0.2234, train/aux_loss: 0.3154, train/total_loss: 0.5388, train/util_ratio: 0.6741, train/run_time: 0.1684, lr: 0.0255, train/prefecth_time: 0.0054 
[2025-04-19 21:15:53,504 INFO] validating...
[2025-04-19 21:15:56,040 INFO] confusion matrix:
[[0.873 0.004 0.036 0.004 0.013 0.004 0.006 0.003 0.039 0.018]
 [0.008 0.945 0.003 0.001 0.001 0.002 0.004 0.    0.006 0.03 ]
 [0.055 0.    0.721 0.024 0.065 0.048 0.07  0.008 0.004 0.005]
 [0.023 0.004 0.09  0.514 0.057 0.191 0.089 0.015 0.004 0.013]
 [0.009 0.    0.058 0.014 0.827 0.02  0.034 0.037 0.001 0.   ]
 [0.009 0.    0.042 0.082 0.03  0.768 0.023 0.044 0.    0.002]
 [0.007 0.    0.015 0.038 0.008 0.001 0.928 0.001 0.001 0.001]
 [0.01  0.002 0.044 0.031 0.042 0.051 0.011 0.806 0.002 0.001]
 [0.019 0.007 0.006 0.005 0.002 0.001 0.001 0.    0.854 0.105]
 [0.01  0.031 0.006 0.008 0.001 0.003 0.001 0.001 0.011 0.928]]
[2025-04-19 21:15:56,501 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 21:15:56,502 INFO] 106496 iteration, USE_EMA: True, train/sup_loss: 0.1891, train/aux_loss: 0.2949, train/total_loss: 0.4840, train/util_ratio: 0.7813, train/run_time: 0.2192, eval/loss: 0.7355, eval/top-1-acc: 0.8164, eval/top-5-acc: 0.9829, eval/balanced_acc: 0.8164, eval/precision: 0.8164, eval/recall: 0.8164, eval/F1: 0.8135, lr: 0.0254, train/prefecth_time: 0.0072 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-19 21:16:57,370 INFO] 106752 iteration USE_EMA: True, train/sup_loss: 0.1233, train/aux_loss: 0.1656, train/total_loss: 0.2889, train/util_ratio: 0.8214, train/run_time: 0.1715, lr: 0.0254, train/prefecth_time: 0.0049 
[2025-04-19 21:17:55,544 INFO] 107008 iteration USE_EMA: True, train/sup_loss: 0.1795, train/aux_loss: 0.1762, train/total_loss: 0.3557, train/util_ratio: 0.7790, train/run_time: 0.2066, lr: 0.0254, train/prefecth_time: 0.0075 
[2025-04-19 21:18:53,326 INFO] 107264 iteration USE_EMA: True, train/sup_loss: 0.1839, train/aux_loss: 0.1746, train/total_loss: 0.3585, train/util_ratio: 0.7768, train/run_time: 0.1716, lr: 0.0254, train/prefecth_time: 0.0056 
[2025-04-19 21:19:52,152 INFO] validating...
[2025-04-19 21:19:55,247 INFO] confusion matrix:
[[0.871 0.005 0.028 0.004 0.007 0.005 0.007 0.005 0.047 0.021]
 [0.01  0.939 0.001 0.    0.001 0.001 0.003 0.    0.004 0.041]
 [0.074 0.    0.675 0.028 0.063 0.061 0.081 0.008 0.006 0.004]
 [0.031 0.003 0.071 0.521 0.047 0.201 0.085 0.018 0.007 0.016]
 [0.015 0.001 0.051 0.018 0.81  0.027 0.035 0.04  0.002 0.001]
 [0.01  0.    0.04  0.079 0.029 0.774 0.019 0.047 0.001 0.001]
 [0.008 0.    0.011 0.037 0.005 0.001 0.934 0.002 0.001 0.001]
 [0.011 0.002 0.033 0.025 0.033 0.055 0.008 0.828 0.004 0.001]
 [0.021 0.01  0.004 0.004 0.002 0.001 0.001 0.    0.862 0.095]
 [0.008 0.025 0.004 0.006 0.002 0.002 0.001 0.001 0.011 0.94 ]]
[2025-04-19 21:19:55,653 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 21:19:55,654 INFO] 107520 iteration, USE_EMA: True, train/sup_loss: 0.1746, train/aux_loss: 0.1763, train/total_loss: 0.3509, train/util_ratio: 0.8147, train/run_time: 0.1836, eval/loss: 0.7402, eval/top-1-acc: 0.8154, eval/top-5-acc: 0.9801, eval/balanced_acc: 0.8154, eval/precision: 0.8148, eval/recall: 0.8154, eval/F1: 0.8121, lr: 0.0254, train/prefecth_time: 0.0083 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-19 21:22:07,591 INFO] select_ulb_dist:
[   0.    0.   30.  257.  345.  894. 4454.  593. 2378. 1975.]
[2025-04-19 21:22:07,592 INFO] lb_select_ulb_dist:
[ 400.  239.  173.  343.  396.  924. 4472.  604. 2384. 1979.]
[2025-04-19 21:22:07,599 INFO] 105: Update the labeled data.
[2025-04-19 21:23:36,492 INFO] 107776 iteration USE_EMA: True, train/sup_loss: 0.2086, train/aux_loss: 0.1171, train/total_loss: 0.3257, train/util_ratio: 0.8170, train/run_time: 0.1618, lr: 0.0253, train/prefecth_time: 0.0071 
[2025-04-19 21:24:36,110 INFO] 108032 iteration USE_EMA: True, train/sup_loss: 0.5868, train/aux_loss: 1.0123, train/total_loss: 1.5991, train/util_ratio: 0.4040, train/run_time: 0.1707, lr: 0.0253, train/prefecth_time: 0.0093 
[2025-04-19 21:25:35,798 INFO] 108288 iteration USE_EMA: True, train/sup_loss: 0.2958, train/aux_loss: 0.4097, train/total_loss: 0.7054, train/util_ratio: 0.6607, train/run_time: 0.1688, lr: 0.0253, train/prefecth_time: 0.0527 
[2025-04-19 21:26:35,855 INFO] validating...
[2025-04-19 21:26:38,696 INFO] confusion matrix:
[[0.859 0.005 0.034 0.003 0.014 0.004 0.008 0.005 0.041 0.027]
 [0.006 0.941 0.003 0.001 0.002 0.002 0.004 0.    0.004 0.037]
 [0.059 0.    0.708 0.03  0.059 0.054 0.074 0.01  0.003 0.003]
 [0.02  0.003 0.074 0.527 0.053 0.189 0.091 0.023 0.006 0.014]
 [0.008 0.001 0.052 0.013 0.829 0.019 0.036 0.039 0.002 0.001]
 [0.006 0.    0.038 0.087 0.03  0.765 0.022 0.05  0.001 0.001]
 [0.007 0.    0.009 0.045 0.005 0.001 0.929 0.002 0.001 0.001]
 [0.01  0.002 0.035 0.031 0.044 0.051 0.009 0.814 0.003 0.001]
 [0.02  0.012 0.004 0.003 0.002 0.002 0.001 0.    0.847 0.109]
 [0.006 0.024 0.004 0.005 0.002 0.001 0.001 0.002 0.009 0.946]]
[2025-04-19 21:26:39,042 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 21:26:39,043 INFO] 108544 iteration, USE_EMA: True, train/sup_loss: 0.3327, train/aux_loss: 0.4761, train/total_loss: 0.8088, train/util_ratio: 0.6362, train/run_time: 0.4747, eval/loss: 0.7275, eval/top-1-acc: 0.8165, eval/top-5-acc: 0.9837, eval/balanced_acc: 0.8165, eval/precision: 0.8160, eval/recall: 0.8165, eval/F1: 0.8136, lr: 0.0253, train/prefecth_time: 0.0066 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-19 21:27:40,293 INFO] 108800 iteration USE_EMA: True, train/sup_loss: 0.2198, train/aux_loss: 0.2749, train/total_loss: 0.4947, train/util_ratio: 0.7567, train/run_time: 0.2130, lr: 0.0252, train/prefecth_time: 0.0063 
[2025-04-19 21:28:39,164 INFO] 109056 iteration USE_EMA: True, train/sup_loss: 0.1987, train/aux_loss: 0.2180, train/total_loss: 0.4168, train/util_ratio: 0.7612, train/run_time: 0.2356, lr: 0.0252, train/prefecth_time: 0.0068 
[2025-04-19 21:29:37,641 INFO] 109312 iteration USE_EMA: True, train/sup_loss: 0.1840, train/aux_loss: 0.2098, train/total_loss: 0.3938, train/util_ratio: 0.7902, train/run_time: 0.1619, lr: 0.0252, train/prefecth_time: 0.0077 
[2025-04-19 21:30:36,828 INFO] validating...
[2025-04-19 21:30:39,454 INFO] confusion matrix:
[[0.874 0.006 0.028 0.003 0.008 0.004 0.007 0.006 0.04  0.024]
 [0.008 0.94  0.002 0.002 0.001 0.001 0.003 0.    0.005 0.038]
 [0.071 0.    0.68  0.031 0.056 0.064 0.079 0.01  0.004 0.005]
 [0.029 0.002 0.062 0.533 0.043 0.198 0.089 0.022 0.008 0.014]
 [0.015 0.001 0.048 0.018 0.803 0.026 0.039 0.046 0.003 0.001]
 [0.01  0.001 0.037 0.085 0.028 0.77  0.019 0.047 0.001 0.002]
 [0.008 0.    0.008 0.041 0.005 0.001 0.933 0.002 0.001 0.001]
 [0.01  0.002 0.025 0.033 0.04  0.056 0.009 0.821 0.002 0.002]
 [0.02  0.009 0.004 0.007 0.001 0.001 0.001 0.    0.851 0.106]
 [0.007 0.023 0.003 0.007 0.002 0.001 0.001 0.001 0.008 0.947]]
[2025-04-19 21:30:40,401 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 21:30:40,402 INFO] 109568 iteration, USE_EMA: True, train/sup_loss: 0.2521, train/aux_loss: 0.1826, train/total_loss: 0.4347, train/util_ratio: 0.7723, train/run_time: 0.1861, eval/loss: 0.7498, eval/top-1-acc: 0.8152, eval/top-5-acc: 0.9823, eval/balanced_acc: 0.8152, eval/precision: 0.8148, eval/recall: 0.8152, eval/F1: 0.8122, lr: 0.0252, train/prefecth_time: 0.0060 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-19 21:31:42,422 INFO] 109824 iteration USE_EMA: True, train/sup_loss: 0.2035, train/aux_loss: 0.1562, train/total_loss: 0.3597, train/util_ratio: 0.8080, train/run_time: 0.1609, lr: 0.0252, train/prefecth_time: 0.0223 
[2025-04-19 21:32:42,722 INFO] 110080 iteration USE_EMA: True, train/sup_loss: 0.1970, train/aux_loss: 0.1530, train/total_loss: 0.3500, train/util_ratio: 0.8326, train/run_time: 0.2168, lr: 0.0251, train/prefecth_time: 0.0069 
[2025-04-19 21:33:42,477 INFO] 110336 iteration USE_EMA: True, train/sup_loss: 0.1840, train/aux_loss: 0.1374, train/total_loss: 0.3214, train/util_ratio: 0.7879, train/run_time: 0.2092, lr: 0.0251, train/prefecth_time: 0.0066 
[2025-04-19 21:34:48,255 INFO] validating...
[2025-04-19 21:34:51,155 INFO] confusion matrix:
[[0.879 0.001 0.025 0.005 0.008 0.006 0.006 0.006 0.043 0.021]
 [0.005 0.935 0.002 0.001 0.002 0.001 0.003 0.    0.007 0.044]
 [0.071 0.    0.667 0.031 0.065 0.065 0.078 0.015 0.004 0.004]
 [0.024 0.003 0.059 0.527 0.048 0.202 0.089 0.025 0.008 0.015]
 [0.012 0.    0.043 0.022 0.815 0.024 0.036 0.046 0.002 0.   ]
 [0.009 0.    0.03  0.087 0.029 0.774 0.017 0.051 0.001 0.002]
 [0.007 0.    0.007 0.041 0.005 0.003 0.933 0.002 0.001 0.001]
 [0.012 0.001 0.022 0.03  0.039 0.055 0.006 0.831 0.002 0.002]
 [0.022 0.009 0.003 0.004 0.001 0.001 0.001 0.    0.856 0.103]
 [0.008 0.02  0.003 0.006 0.001 0.001 0.001 0.002 0.008 0.95 ]]
[2025-04-19 21:34:51,559 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 21:34:51,561 INFO] 110592 iteration, USE_EMA: True, train/sup_loss: 0.2479, train/aux_loss: 0.0884, train/total_loss: 0.3363, train/util_ratio: 0.8348, train/run_time: 0.1944, eval/loss: 0.7352, eval/top-1-acc: 0.8167, eval/top-5-acc: 0.9810, eval/balanced_acc: 0.8167, eval/precision: 0.8162, eval/recall: 0.8167, eval/F1: 0.8135, lr: 0.0251, train/prefecth_time: 0.0071 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-19 21:36:07,523 INFO] 110848 iteration USE_EMA: True, train/sup_loss: 0.3161, train/aux_loss: 0.3764, train/total_loss: 0.6924, train/util_ratio: 0.6696, train/run_time: 0.6794, lr: 0.0251, train/prefecth_time: 0.0058 
[2025-04-19 21:37:21,397 INFO] 111104 iteration USE_EMA: True, train/sup_loss: 0.4086, train/aux_loss: 0.6688, train/total_loss: 1.0774, train/util_ratio: 0.5759, train/run_time: 0.1654, lr: 0.0251, train/prefecth_time: 0.0351 
[2025-04-19 21:38:20,670 INFO] 111360 iteration USE_EMA: True, train/sup_loss: 0.1984, train/aux_loss: 0.3787, train/total_loss: 0.5770, train/util_ratio: 0.7188, train/run_time: 0.1773, lr: 0.0250, train/prefecth_time: 0.0072 
[2025-04-19 21:39:49,406 INFO] validating...
[2025-04-19 21:39:52,372 INFO] confusion matrix:
[[0.868 0.003 0.042 0.003 0.011 0.005 0.006 0.004 0.036 0.022]
 [0.006 0.944 0.002 0.001 0.001 0.003 0.002 0.001 0.006 0.034]
 [0.057 0.    0.718 0.024 0.067 0.054 0.067 0.008 0.001 0.004]
 [0.024 0.005 0.071 0.534 0.051 0.188 0.092 0.018 0.005 0.012]
 [0.009 0.    0.049 0.016 0.824 0.017 0.037 0.046 0.001 0.001]
 [0.008 0.    0.044 0.086 0.031 0.766 0.02  0.044 0.    0.001]
 [0.006 0.    0.014 0.041 0.006 0.001 0.929 0.001 0.001 0.001]
 [0.009 0.002 0.035 0.028 0.047 0.056 0.009 0.811 0.002 0.001]
 [0.021 0.008 0.006 0.005 0.002 0.001 0.001 0.    0.847 0.109]
 [0.008 0.038 0.004 0.007 0.003 0.001 0.002 0.002 0.009 0.926]]
[2025-04-19 21:39:52,724 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 21:39:52,725 INFO] 111616 iteration, USE_EMA: True, train/sup_loss: 0.2643, train/aux_loss: 0.2745, train/total_loss: 0.5388, train/util_ratio: 0.7701, train/run_time: 0.1842, eval/loss: 0.7222, eval/top-1-acc: 0.8167, eval/top-5-acc: 0.9822, eval/balanced_acc: 0.8167, eval/precision: 0.8167, eval/recall: 0.8167, eval/F1: 0.8141, lr: 0.0250, train/prefecth_time: 0.0070 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-19 21:41:40,110 INFO] 111872 iteration USE_EMA: True, train/sup_loss: 0.2184, train/aux_loss: 0.1920, train/total_loss: 0.4104, train/util_ratio: 0.7835, train/run_time: 0.6412, lr: 0.0250, train/prefecth_time: 0.0082 
[2025-04-19 21:43:40,396 INFO] 112128 iteration USE_EMA: True, train/sup_loss: 0.1982, train/aux_loss: 0.1942, train/total_loss: 0.3924, train/util_ratio: 0.8080, train/run_time: 0.3405, lr: 0.0250, train/prefecth_time: 0.0056 
[2025-04-19 21:47:53,049 INFO] 112384 iteration USE_EMA: True, train/sup_loss: 0.1862, train/aux_loss: 0.1707, train/total_loss: 0.3569, train/util_ratio: 0.7991, train/run_time: 0.9729, lr: 0.0249, train/prefecth_time: 0.0045 
[2025-04-19 21:52:18,382 INFO] validating...
[2025-04-19 21:52:21,142 INFO] confusion matrix:
[[0.871 0.004 0.035 0.002 0.011 0.005 0.008 0.004 0.04  0.02 ]
 [0.005 0.936 0.004 0.    0.001 0.002 0.002 0.001 0.008 0.041]
 [0.063 0.    0.692 0.024 0.066 0.064 0.07  0.013 0.003 0.005]
 [0.026 0.005 0.074 0.52  0.048 0.205 0.086 0.018 0.007 0.011]
 [0.012 0.    0.043 0.016 0.82  0.026 0.034 0.045 0.003 0.001]
 [0.011 0.    0.04  0.087 0.032 0.764 0.018 0.047 0.    0.001]
 [0.005 0.    0.011 0.039 0.008 0.002 0.932 0.001 0.001 0.001]
 [0.01  0.002 0.025 0.024 0.04  0.06  0.008 0.827 0.003 0.001]
 [0.016 0.008 0.003 0.006 0.002 0.002 0.001 0.    0.861 0.101]
 [0.01  0.029 0.002 0.005 0.001 0.001 0.003 0.001 0.009 0.939]]
[2025-04-19 21:52:21,523 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 21:52:21,524 INFO] 112640 iteration, USE_EMA: True, train/sup_loss: 0.2460, train/aux_loss: 0.1826, train/total_loss: 0.4286, train/util_ratio: 0.7924, train/run_time: 1.4909, eval/loss: 0.7481, eval/top-1-acc: 0.8162, eval/top-5-acc: 0.9801, eval/balanced_acc: 0.8162, eval/precision: 0.8159, eval/recall: 0.8162, eval/F1: 0.8131, lr: 0.0249, train/prefecth_time: 0.0089 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-19 21:54:41,321 INFO] select_ulb_dist:
[   0.    0.   14.  259.  345.  894. 4454.  593. 2378. 1975.]
[2025-04-19 21:54:41,365 INFO] lb_select_ulb_dist:
[ 400.  239.  157.  345.  396.  924. 4472.  604. 2384. 1979.]
[2025-04-19 21:54:41,374 INFO] 110: Update the labeled data.
[2025-04-19 21:57:05,484 INFO] 112896 iteration USE_EMA: True, train/sup_loss: 0.1790, train/aux_loss: 0.1612, train/total_loss: 0.3402, train/util_ratio: 0.7768, train/run_time: 0.3859, lr: 0.0249, train/prefecth_time: 0.0056 
[2025-04-19 21:58:35,084 INFO] 113152 iteration USE_EMA: True, train/sup_loss: 0.1110, train/aux_loss: 0.1327, train/total_loss: 0.2437, train/util_ratio: 0.7835, train/run_time: 0.2410, lr: 0.0249, train/prefecth_time: 0.0086 
[2025-04-19 22:00:03,670 INFO] 113408 iteration USE_EMA: True, train/sup_loss: 0.1370, train/aux_loss: 0.1529, train/total_loss: 0.2899, train/util_ratio: 0.8013, train/run_time: 0.3829, lr: 0.0249, train/prefecth_time: 0.0088 
[2025-04-19 22:01:33,401 INFO] validating...
[2025-04-19 22:01:36,266 INFO] confusion matrix:
[[0.889 0.003 0.03  0.003 0.009 0.005 0.003 0.003 0.035 0.02 ]
 [0.006 0.946 0.002 0.    0.002 0.002 0.001 0.    0.006 0.035]
 [0.061 0.001 0.705 0.026 0.075 0.061 0.05  0.013 0.003 0.005]
 [0.027 0.004 0.075 0.531 0.056 0.199 0.073 0.02  0.005 0.01 ]
 [0.014 0.001 0.04  0.017 0.828 0.023 0.022 0.052 0.002 0.001]
 [0.01  0.001 0.032 0.091 0.03  0.767 0.016 0.052 0.    0.001]
 [0.006 0.    0.012 0.044 0.007 0.004 0.924 0.002 0.001 0.   ]
 [0.011 0.001 0.025 0.022 0.04  0.063 0.005 0.83  0.002 0.001]
 [0.018 0.01  0.003 0.006 0.002 0.002 0.001 0.    0.86  0.098]
 [0.008 0.032 0.003 0.006 0.002 0.001 0.002 0.001 0.008 0.937]]
[2025-04-19 22:01:36,741 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 22:01:36,742 INFO] 113664 iteration, USE_EMA: True, train/sup_loss: 0.4940, train/aux_loss: 0.5382, train/total_loss: 1.0322, train/util_ratio: 0.6317, train/run_time: 0.4303, eval/loss: 0.7283, eval/top-1-acc: 0.8217, eval/top-5-acc: 0.9808, eval/balanced_acc: 0.8217, eval/precision: 0.8208, eval/recall: 0.8217, eval/F1: 0.8189, lr: 0.0248, train/prefecth_time: 0.0045 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-19 22:03:09,953 INFO] 113920 iteration USE_EMA: True, train/sup_loss: 0.2418, train/aux_loss: 0.4116, train/total_loss: 0.6534, train/util_ratio: 0.6317, train/run_time: 0.4288, lr: 0.0248, train/prefecth_time: 0.0069 
[2025-04-19 22:04:40,301 INFO] 114176 iteration USE_EMA: True, train/sup_loss: 0.2361, train/aux_loss: 0.5140, train/total_loss: 0.7501, train/util_ratio: 0.6429, train/run_time: 0.3161, lr: 0.0248, train/prefecth_time: 0.0094 
[2025-04-19 22:06:09,611 INFO] 114432 iteration USE_EMA: True, train/sup_loss: 0.2146, train/aux_loss: 0.4406, train/total_loss: 0.6552, train/util_ratio: 0.6942, train/run_time: 0.2164, lr: 0.0248, train/prefecth_time: 0.0098 
[2025-04-19 22:07:39,253 INFO] validating...
[2025-04-19 22:07:42,016 INFO] confusion matrix:
[[0.885 0.002 0.03  0.002 0.009 0.005 0.004 0.006 0.037 0.02 ]
 [0.007 0.942 0.005 0.    0.    0.002 0.003 0.001 0.003 0.037]
 [0.056 0.    0.742 0.024 0.063 0.044 0.054 0.006 0.004 0.007]
 [0.024 0.005 0.083 0.531 0.05  0.188 0.08  0.019 0.007 0.013]
 [0.015 0.    0.065 0.012 0.815 0.018 0.027 0.044 0.003 0.001]
 [0.008 0.001 0.046 0.09  0.033 0.756 0.018 0.047 0.    0.001]
 [0.005 0.    0.02  0.04  0.009 0.002 0.92  0.001 0.001 0.002]
 [0.011 0.002 0.039 0.031 0.046 0.05  0.006 0.813 0.002 0.   ]
 [0.022 0.009 0.004 0.005 0.001 0.002 0.001 0.    0.851 0.105]
 [0.008 0.026 0.005 0.005 0.001 0.001 0.003 0.002 0.011 0.938]]
[2025-04-19 22:07:42,365 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 22:07:42,365 INFO] 114688 iteration, USE_EMA: True, train/sup_loss: 0.2405, train/aux_loss: 0.2991, train/total_loss: 0.5396, train/util_ratio: 0.7522, train/run_time: 0.3319, eval/loss: 0.7340, eval/top-1-acc: 0.8193, eval/top-5-acc: 0.9819, eval/balanced_acc: 0.8193, eval/precision: 0.8188, eval/recall: 0.8193, eval/F1: 0.8167, lr: 0.0247, train/prefecth_time: 0.0065 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-19 22:09:14,090 INFO] 114944 iteration USE_EMA: True, train/sup_loss: 0.1981, train/aux_loss: 0.1937, train/total_loss: 0.3918, train/util_ratio: 0.7790, train/run_time: 0.2025, lr: 0.0247, train/prefecth_time: 0.0080 
[2025-04-19 22:10:42,398 INFO] 115200 iteration USE_EMA: True, train/sup_loss: 0.1116, train/aux_loss: 0.2066, train/total_loss: 0.3182, train/util_ratio: 0.7924, train/run_time: 0.1710, lr: 0.0247, train/prefecth_time: 0.0087 
[2025-04-19 22:12:10,016 INFO] 115456 iteration USE_EMA: True, train/sup_loss: 0.1382, train/aux_loss: 0.1770, train/total_loss: 0.3152, train/util_ratio: 0.8058, train/run_time: 0.2643, lr: 0.0247, train/prefecth_time: 0.0065 
[2025-04-19 22:13:39,092 INFO] validating...
[2025-04-19 22:13:41,748 INFO] confusion matrix:
[[0.877 0.002 0.032 0.003 0.008 0.005 0.005 0.007 0.042 0.019]
 [0.006 0.937 0.003 0.    0.001 0.002 0.003 0.001 0.006 0.041]
 [0.063 0.001 0.692 0.02  0.066 0.063 0.071 0.012 0.006 0.006]
 [0.025 0.004 0.07  0.503 0.048 0.216 0.093 0.02  0.008 0.013]
 [0.016 0.    0.048 0.012 0.815 0.024 0.038 0.044 0.002 0.001]
 [0.01  0.001 0.035 0.089 0.03  0.768 0.02  0.045 0.001 0.001]
 [0.005 0.    0.014 0.035 0.006 0.001 0.934 0.001 0.001 0.003]
 [0.011 0.001 0.033 0.027 0.039 0.053 0.005 0.827 0.003 0.001]
 [0.02  0.009 0.006 0.004 0.001 0.002 0.001 0.    0.857 0.1  ]
 [0.008 0.021 0.004 0.005 0.001 0.001 0.002 0.002 0.012 0.944]]
[2025-04-19 22:13:42,606 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 22:13:42,608 INFO] 115712 iteration, USE_EMA: True, train/sup_loss: 0.2290, train/aux_loss: 0.1671, train/total_loss: 0.3961, train/util_ratio: 0.7902, train/run_time: 0.3561, eval/loss: 0.7516, eval/top-1-acc: 0.8154, eval/top-5-acc: 0.9807, eval/balanced_acc: 0.8154, eval/precision: 0.8150, eval/recall: 0.8154, eval/F1: 0.8119, lr: 0.0246, train/prefecth_time: 0.0066 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-19 22:15:13,093 INFO] 115968 iteration USE_EMA: True, train/sup_loss: 0.1925, train/aux_loss: 0.2626, train/total_loss: 0.4551, train/util_ratio: 0.7723, train/run_time: 0.1834, lr: 0.0246, train/prefecth_time: 0.0093 
[2025-04-19 22:16:42,631 INFO] 116224 iteration USE_EMA: True, train/sup_loss: 0.1141, train/aux_loss: 0.1827, train/total_loss: 0.2968, train/util_ratio: 0.7969, train/run_time: 0.5858, lr: 0.0246, train/prefecth_time: 0.0082 
[2025-04-19 22:19:02,865 INFO] 116480 iteration USE_EMA: True, train/sup_loss: 0.4121, train/aux_loss: 0.5682, train/total_loss: 0.9803, train/util_ratio: 0.6451, train/run_time: 1.0063, lr: 0.0246, train/prefecth_time: 0.0089 
[2025-04-19 22:24:31,122 INFO] validating...
[2025-04-19 22:24:34,013 INFO] confusion matrix:
[[0.864 0.003 0.045 0.003 0.011 0.007 0.005 0.005 0.037 0.02 ]
 [0.007 0.938 0.003 0.001 0.    0.003 0.002 0.001 0.009 0.036]
 [0.053 0.    0.723 0.022 0.07  0.053 0.061 0.008 0.005 0.005]
 [0.018 0.004 0.078 0.509 0.061 0.203 0.089 0.02  0.008 0.01 ]
 [0.014 0.    0.051 0.012 0.821 0.021 0.037 0.041 0.002 0.001]
 [0.006 0.001 0.038 0.089 0.034 0.768 0.019 0.043 0.001 0.001]
 [0.006 0.    0.019 0.036 0.01  0.001 0.925 0.001 0.001 0.001]
 [0.009 0.001 0.031 0.027 0.044 0.052 0.004 0.828 0.003 0.001]
 [0.019 0.009 0.006 0.004 0.001 0.002 0.001 0.    0.861 0.097]
 [0.006 0.028 0.005 0.005 0.002 0.001 0.002 0.002 0.011 0.938]]
[2025-04-19 22:24:35,640 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 22:24:35,642 INFO] 116736 iteration, USE_EMA: True, train/sup_loss: 0.3110, train/aux_loss: 0.4665, train/total_loss: 0.7775, train/util_ratio: 0.6518, train/run_time: 1.0792, eval/loss: 0.7357, eval/top-1-acc: 0.8175, eval/top-5-acc: 0.9816, eval/balanced_acc: 0.8175, eval/precision: 0.8172, eval/recall: 0.8175, eval/F1: 0.8145, lr: 0.0246, train/prefecth_time: 0.0046 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-19 22:26:28,315 INFO] 116992 iteration USE_EMA: True, train/sup_loss: 0.1917, train/aux_loss: 0.2787, train/total_loss: 0.4703, train/util_ratio: 0.7567, train/run_time: 0.2241, lr: 0.0245, train/prefecth_time: 0.0077 
[2025-04-19 22:27:54,804 INFO] 117248 iteration USE_EMA: True, train/sup_loss: 0.1221, train/aux_loss: 0.2241, train/total_loss: 0.3462, train/util_ratio: 0.8013, train/run_time: 0.3754, lr: 0.0245, train/prefecth_time: 0.0053 
[2025-04-19 22:29:20,878 INFO] 117504 iteration USE_EMA: True, train/sup_loss: 0.1374, train/aux_loss: 0.1741, train/total_loss: 0.3115, train/util_ratio: 0.8103, train/run_time: 0.1618, lr: 0.0245, train/prefecth_time: 0.0065 
[2025-04-19 22:30:49,276 INFO] validating...
[2025-04-19 22:30:52,373 INFO] confusion matrix:
[[0.873 0.002 0.035 0.005 0.01  0.008 0.005 0.005 0.038 0.019]
 [0.006 0.937 0.003 0.    0.    0.002 0.001 0.001 0.006 0.044]
 [0.066 0.    0.71  0.021 0.062 0.061 0.062 0.008 0.004 0.006]
 [0.024 0.003 0.08  0.497 0.054 0.223 0.082 0.021 0.004 0.012]
 [0.013 0.    0.051 0.013 0.815 0.029 0.033 0.043 0.002 0.001]
 [0.008 0.    0.033 0.086 0.032 0.778 0.017 0.044 0.001 0.001]
 [0.007 0.    0.012 0.037 0.008 0.002 0.931 0.001 0.001 0.001]
 [0.011 0.001 0.03  0.024 0.043 0.06  0.005 0.822 0.003 0.001]
 [0.018 0.008 0.005 0.006 0.002 0.002 0.001 0.    0.855 0.103]
 [0.007 0.028 0.004 0.006 0.001 0.001 0.001 0.001 0.01  0.941]]
[2025-04-19 22:30:52,856 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 22:30:52,857 INFO] 117760 iteration, USE_EMA: True, train/sup_loss: 0.2356, train/aux_loss: 0.1596, train/total_loss: 0.3952, train/util_ratio: 0.8259, train/run_time: 0.1604, eval/loss: 0.7575, eval/top-1-acc: 0.8159, eval/top-5-acc: 0.9815, eval/balanced_acc: 0.8159, eval/precision: 0.8161, eval/recall: 0.8159, eval/F1: 0.8127, lr: 0.0245, train/prefecth_time: 0.0052 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-19 22:33:06,290 INFO] select_ulb_dist:
[   0.    0.    0.  260.  346.  895. 4454.  593. 2380. 1975.]
[2025-04-19 22:33:06,291 INFO] lb_select_ulb_dist:
[ 400.  239.  143.  346.  397.  925. 4472.  604. 2386. 1979.]
[2025-04-19 22:33:06,308 INFO] 115: Update the labeled data.
[2025-04-19 22:36:56,084 INFO] 118016 iteration USE_EMA: True, train/sup_loss: 0.1478, train/aux_loss: 0.1316, train/total_loss: 0.2795, train/util_ratio: 0.7701, train/run_time: 0.5453, lr: 0.0244, train/prefecth_time: 0.0044 
[2025-04-19 22:41:11,789 INFO] 118272 iteration USE_EMA: True, train/sup_loss: 0.2828, train/aux_loss: 0.1645, train/total_loss: 0.4473, train/util_ratio: 0.7879, train/run_time: 1.7300, lr: 0.0244, train/prefecth_time: 0.0072 
[2025-04-19 22:44:23,411 INFO] 118528 iteration USE_EMA: True, train/sup_loss: 0.1175, train/aux_loss: 0.1544, train/total_loss: 0.2719, train/util_ratio: 0.7835, train/run_time: 1.1884, lr: 0.0244, train/prefecth_time: 0.0059 
[2025-04-19 22:49:24,884 INFO] validating...
[2025-04-19 22:49:28,123 INFO] confusion matrix:
[[0.872 0.002 0.034 0.004 0.006 0.007 0.005 0.004 0.043 0.023]
 [0.006 0.939 0.003 0.    0.    0.001 0.001 0.001 0.006 0.043]
 [0.069 0.    0.688 0.024 0.061 0.078 0.059 0.011 0.002 0.008]
 [0.025 0.002 0.068 0.499 0.053 0.242 0.075 0.021 0.003 0.012]
 [0.017 0.001 0.05  0.014 0.804 0.032 0.03  0.05  0.002 0.   ]
 [0.009 0.    0.03  0.085 0.028 0.788 0.013 0.045 0.001 0.001]
 [0.008 0.    0.01  0.04  0.008 0.004 0.926 0.002 0.001 0.001]
 [0.014 0.001 0.024 0.025 0.036 0.066 0.005 0.825 0.003 0.001]
 [0.018 0.007 0.007 0.007 0.001 0.001 0.001 0.    0.858 0.1  ]
 [0.007 0.025 0.003 0.007 0.    0.001 0.001 0.001 0.009 0.946]]
[2025-04-19 22:49:28,714 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 22:49:28,716 INFO] 118784 iteration, USE_EMA: True, train/sup_loss: 0.1022, train/aux_loss: 0.1280, train/total_loss: 0.2301, train/util_ratio: 0.7790, train/run_time: 1.3288, eval/loss: 0.7445, eval/top-1-acc: 0.8145, eval/top-5-acc: 0.9804, eval/balanced_acc: 0.8145, eval/precision: 0.8153, eval/recall: 0.8145, eval/F1: 0.8114, lr: 0.0244, train/prefecth_time: 0.0065 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-19 22:52:56,764 INFO] 119040 iteration USE_EMA: True, train/sup_loss: 0.8407, train/aux_loss: 1.2039, train/total_loss: 2.0446, train/util_ratio: 0.3549, train/run_time: 0.6766, lr: 0.0243, train/prefecth_time: 0.0091 
[2025-04-19 22:56:10,192 INFO] 119296 iteration USE_EMA: True, train/sup_loss: 0.5098, train/aux_loss: 0.6284, train/total_loss: 1.1382, train/util_ratio: 0.5469, train/run_time: 0.8029, lr: 0.0243, train/prefecth_time: 0.0064 
[2025-04-19 22:59:16,428 INFO] 119552 iteration USE_EMA: True, train/sup_loss: 0.2542, train/aux_loss: 0.4073, train/total_loss: 0.6614, train/util_ratio: 0.6473, train/run_time: 0.6010, lr: 0.0243, train/prefecth_time: 0.0064 
[2025-04-19 23:01:33,639 INFO] validating...
[2025-04-19 23:01:36,274 INFO] confusion matrix:
[[0.866 0.002 0.049 0.004 0.011 0.005 0.005 0.004 0.036 0.018]
 [0.006 0.95  0.003 0.    0.    0.001 0.003 0.    0.003 0.034]
 [0.052 0.    0.748 0.024 0.06  0.052 0.047 0.007 0.004 0.006]
 [0.02  0.002 0.088 0.535 0.056 0.194 0.073 0.018 0.005 0.009]
 [0.011 0.001 0.054 0.015 0.822 0.025 0.031 0.039 0.001 0.001]
 [0.005 0.002 0.042 0.086 0.033 0.763 0.016 0.051 0.001 0.001]
 [0.007 0.    0.021 0.041 0.012 0.    0.915 0.002 0.001 0.001]
 [0.011 0.001 0.034 0.027 0.043 0.059 0.004 0.817 0.003 0.001]
 [0.018 0.007 0.006 0.004 0.002 0.001 0.001 0.    0.852 0.109]
 [0.007 0.032 0.006 0.007 0.001 0.001 0.001 0.001 0.011 0.933]]
[2025-04-19 23:01:36,651 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 23:01:36,652 INFO] 119808 iteration, USE_EMA: True, train/sup_loss: 0.1187, train/aux_loss: 0.2394, train/total_loss: 0.3581, train/util_ratio: 0.7188, train/run_time: 0.1585, eval/loss: 0.7002, eval/top-1-acc: 0.8201, eval/top-5-acc: 0.9840, eval/balanced_acc: 0.8201, eval/precision: 0.8204, eval/recall: 0.8201, eval/F1: 0.8179, lr: 0.0243, train/prefecth_time: 0.0058 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-19 23:02:36,018 INFO] 120064 iteration USE_EMA: True, train/sup_loss: 0.1608, train/aux_loss: 0.1852, train/total_loss: 0.3459, train/util_ratio: 0.7478, train/run_time: 0.1665, lr: 0.0242, train/prefecth_time: 0.0049 
[2025-04-19 23:05:53,496 INFO] 120320 iteration USE_EMA: True, train/sup_loss: 0.3080, train/aux_loss: 0.1893, train/total_loss: 0.4973, train/util_ratio: 0.7545, train/run_time: 1.0597, lr: 0.0242, train/prefecth_time: 0.0071 
[2025-04-19 23:09:57,987 INFO] 120576 iteration USE_EMA: True, train/sup_loss: 0.1203, train/aux_loss: 0.2180, train/total_loss: 0.3383, train/util_ratio: 0.7589, train/run_time: 0.9215, lr: 0.0242, train/prefecth_time: 0.0049 
[2025-04-19 23:13:45,106 INFO] validating...
[2025-04-19 23:13:47,621 INFO] confusion matrix:
[[0.866 0.003 0.054 0.004 0.01  0.006 0.004 0.003 0.035 0.015]
 [0.005 0.947 0.002 0.    0.    0.001 0.003 0.001 0.004 0.037]
 [0.052 0.001 0.73  0.029 0.055 0.055 0.058 0.011 0.005 0.004]
 [0.018 0.002 0.085 0.54  0.043 0.201 0.074 0.02  0.006 0.011]
 [0.014 0.001 0.055 0.016 0.807 0.025 0.037 0.042 0.003 0.   ]
 [0.008 0.001 0.046 0.081 0.032 0.763 0.012 0.054 0.002 0.001]
 [0.008 0.    0.017 0.041 0.009 0.001 0.921 0.001 0.001 0.001]
 [0.01  0.001 0.031 0.026 0.041 0.058 0.004 0.825 0.003 0.001]
 [0.018 0.009 0.004 0.004 0.002 0.002 0.001 0.    0.858 0.102]
 [0.008 0.023 0.003 0.005 0.002 0.001 0.001 0.001 0.011 0.945]]
[2025-04-19 23:13:47,994 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 23:13:47,995 INFO] 120832 iteration, USE_EMA: True, train/sup_loss: 0.1046, train/aux_loss: 0.1870, train/total_loss: 0.2916, train/util_ratio: 0.7790, train/run_time: 0.7106, eval/loss: 0.7255, eval/top-1-acc: 0.8202, eval/top-5-acc: 0.9814, eval/balanced_acc: 0.8202, eval/precision: 0.8203, eval/recall: 0.8202, eval/F1: 0.8180, lr: 0.0242, train/prefecth_time: 0.0065 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-19 23:18:03,406 INFO] 121088 iteration USE_EMA: True, train/sup_loss: 0.1490, train/aux_loss: 0.1534, train/total_loss: 0.3025, train/util_ratio: 0.7679, train/run_time: 0.9090, lr: 0.0242, train/prefecth_time: 0.0099 
[2025-04-19 23:22:11,114 INFO] 121344 iteration USE_EMA: True, train/sup_loss: 0.2885, train/aux_loss: 0.1739, train/total_loss: 0.4624, train/util_ratio: 0.7924, train/run_time: 1.1506, lr: 0.0241, train/prefecth_time: 0.0079 
[2025-04-19 23:26:17,021 INFO] 121600 iteration USE_EMA: True, train/sup_loss: 0.1338, train/aux_loss: 0.1422, train/total_loss: 0.2759, train/util_ratio: 0.7768, train/run_time: 1.0694, lr: 0.0241, train/prefecth_time: 0.0067 
[2025-04-19 23:31:07,355 INFO] validating...
[2025-04-19 23:31:10,059 INFO] confusion matrix:
[[0.859 0.003 0.046 0.004 0.01  0.005 0.007 0.003 0.045 0.018]
 [0.004 0.942 0.002 0.    0.    0.001 0.003 0.    0.006 0.042]
 [0.058 0.001 0.692 0.028 0.059 0.064 0.077 0.012 0.004 0.005]
 [0.018 0.002 0.068 0.537 0.045 0.2   0.092 0.02  0.007 0.011]
 [0.012 0.001 0.053 0.018 0.81  0.023 0.036 0.044 0.003 0.   ]
 [0.01  0.001 0.035 0.08  0.03  0.774 0.015 0.052 0.002 0.001]
 [0.005 0.    0.012 0.034 0.007 0.002 0.937 0.001 0.001 0.001]
 [0.011 0.001 0.03  0.026 0.04  0.051 0.003 0.833 0.004 0.001]
 [0.016 0.006 0.004 0.004 0.001 0.001 0.001 0.    0.861 0.106]
 [0.007 0.021 0.003 0.004 0.002 0.001 0.002 0.001 0.012 0.947]]
[2025-04-19 23:31:10,470 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 23:31:10,471 INFO] 121856 iteration, USE_EMA: True, train/sup_loss: 0.1061, train/aux_loss: 0.1205, train/total_loss: 0.2266, train/util_ratio: 0.7991, train/run_time: 0.9631, eval/loss: 0.7171, eval/top-1-acc: 0.8192, eval/top-5-acc: 0.9809, eval/balanced_acc: 0.8192, eval/precision: 0.8190, eval/recall: 0.8192, eval/F1: 0.8163, lr: 0.0241, train/prefecth_time: 0.0070 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-19 23:35:59,413 INFO] 122112 iteration USE_EMA: True, train/sup_loss: 0.1463, train/aux_loss: 0.1303, train/total_loss: 0.2765, train/util_ratio: 0.7991, train/run_time: 1.1288, lr: 0.0241, train/prefecth_time: 0.0069 
[2025-04-19 23:40:47,401 INFO] 122368 iteration USE_EMA: True, train/sup_loss: 0.4574, train/aux_loss: 0.7023, train/total_loss: 1.1597, train/util_ratio: 0.4665, train/run_time: 1.2784, lr: 0.0240, train/prefecth_time: 0.0064 
[2025-04-19 23:45:19,835 INFO] 122624 iteration USE_EMA: True, train/sup_loss: 0.2314, train/aux_loss: 0.4751, train/total_loss: 0.7065, train/util_ratio: 0.5580, train/run_time: 1.2544, lr: 0.0240, train/prefecth_time: 0.0045 
[2025-04-19 23:55:30,410 INFO] validating...
[2025-04-19 23:55:33,330 INFO] confusion matrix:
[[0.856 0.004 0.06  0.007 0.011 0.004 0.005 0.005 0.032 0.016]
 [0.008 0.941 0.002 0.001 0.    0.002 0.005 0.    0.005 0.036]
 [0.045 0.001 0.747 0.029 0.057 0.045 0.064 0.006 0.003 0.003]
 [0.016 0.002 0.083 0.533 0.055 0.192 0.091 0.014 0.007 0.007]
 [0.008 0.    0.064 0.018 0.824 0.016 0.034 0.036 0.    0.   ]
 [0.004 0.001 0.05  0.087 0.035 0.759 0.018 0.045 0.    0.001]
 [0.004 0.    0.023 0.043 0.005 0.001 0.921 0.001 0.001 0.001]
 [0.009 0.001 0.04  0.037 0.051 0.046 0.005 0.808 0.003 0.   ]
 [0.018 0.007 0.007 0.004 0.002 0.001 0.002 0.    0.849 0.11 ]
 [0.008 0.03  0.007 0.006 0.003 0.002 0.002 0.002 0.008 0.932]]
[2025-04-19 23:55:33,797 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-19 23:55:33,798 INFO] 122880 iteration, USE_EMA: True, train/sup_loss: 0.1537, train/aux_loss: 0.3653, train/total_loss: 0.5191, train/util_ratio: 0.6473, train/run_time: 0.9733, eval/loss: 0.6878, eval/top-1-acc: 0.8170, eval/top-5-acc: 0.9833, eval/balanced_acc: 0.8170, eval/precision: 0.8179, eval/recall: 0.8170, eval/F1: 0.8151, lr: 0.0240, train/prefecth_time: 0.0065 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-19 23:57:40,036 INFO] select_ulb_dist:
[  99.   86.  108.  261.  346.  896. 4454.  593. 2380. 1975.]
[2025-04-19 23:57:40,037 INFO] lb_select_ulb_dist:
[ 499.  325.  251.  347.  397.  926. 4472.  604. 2386. 1979.]
[2025-04-19 23:57:40,045 INFO] 120: Update the labeled data.
[2025-04-20 00:03:30,628 INFO] 123136 iteration USE_EMA: True, train/sup_loss: 0.1339, train/aux_loss: 0.3589, train/total_loss: 0.4927, train/util_ratio: 0.6853, train/run_time: 1.3771, lr: 0.0240, train/prefecth_time: 0.0054 
[2025-04-20 00:09:43,313 INFO] 123392 iteration USE_EMA: True, train/sup_loss: 0.2249, train/aux_loss: 0.1826, train/total_loss: 0.4075, train/util_ratio: 0.7991, train/run_time: 1.5251, lr: 0.0239, train/prefecth_time: 0.0078 
[2025-04-20 00:16:18,480 INFO] 123648 iteration USE_EMA: True, train/sup_loss: 0.2633, train/aux_loss: 0.2767, train/total_loss: 0.5400, train/util_ratio: 0.7567, train/run_time: 1.7708, lr: 0.0239, train/prefecth_time: 0.0031 
[2025-04-20 00:22:38,470 INFO] validating...
[2025-04-20 00:22:41,232 INFO] confusion matrix:
[[0.842 0.003 0.056 0.006 0.009 0.005 0.006 0.004 0.045 0.024]
 [0.005 0.925 0.004 0.    0.    0.002 0.005 0.001 0.011 0.047]
 [0.044 0.    0.728 0.035 0.057 0.044 0.077 0.006 0.005 0.004]
 [0.015 0.003 0.091 0.544 0.041 0.176 0.094 0.016 0.007 0.013]
 [0.009 0.    0.069 0.014 0.805 0.023 0.043 0.036 0.001 0.   ]
 [0.005 0.001 0.056 0.095 0.026 0.745 0.023 0.048 0.    0.001]
 [0.004 0.    0.017 0.046 0.004 0.001 0.925 0.001 0.001 0.001]
 [0.009 0.001 0.052 0.035 0.047 0.043 0.005 0.804 0.004 0.   ]
 [0.016 0.006 0.007 0.005 0.002 0.001 0.002 0.    0.855 0.106]
 [0.004 0.023 0.005 0.007 0.002 0.002 0.002 0.001 0.009 0.945]]
[2025-04-20 00:22:42,883 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 00:22:42,884 INFO] 123904 iteration, USE_EMA: True, train/sup_loss: 0.0622, train/aux_loss: 0.1975, train/total_loss: 0.2596, train/util_ratio: 0.7879, train/run_time: 1.4648, eval/loss: 0.7154, eval/top-1-acc: 0.8118, eval/top-5-acc: 0.9831, eval/balanced_acc: 0.8118, eval/precision: 0.8132, eval/recall: 0.8118, eval/F1: 0.8102, lr: 0.0239, train/prefecth_time: 0.0065 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 00:28:05,610 INFO] 124160 iteration USE_EMA: True, train/sup_loss: 0.1072, train/aux_loss: 0.1675, train/total_loss: 0.2747, train/util_ratio: 0.8237, train/run_time: 1.3925, lr: 0.0239, train/prefecth_time: 0.0045 
[2025-04-20 00:34:49,560 INFO] 124416 iteration USE_EMA: True, train/sup_loss: 0.2203, train/aux_loss: 0.1552, train/total_loss: 0.3756, train/util_ratio: 0.7857, train/run_time: 1.8846, lr: 0.0238, train/prefecth_time: 0.0050 
[2025-04-20 00:41:31,308 INFO] 124672 iteration USE_EMA: True, train/sup_loss: 0.2197, train/aux_loss: 0.1587, train/total_loss: 0.3783, train/util_ratio: 0.7813, train/run_time: 1.8460, lr: 0.0238, train/prefecth_time: 0.0054 
[2025-04-20 00:48:06,209 INFO] validating...
[2025-04-20 00:48:09,553 INFO] confusion matrix:
[[0.855 0.005 0.043 0.005 0.007 0.004 0.005 0.004 0.05  0.022]
 [0.004 0.931 0.003 0.    0.    0.002 0.003 0.001 0.011 0.045]
 [0.06  0.    0.697 0.026 0.056 0.06  0.078 0.012 0.007 0.004]
 [0.016 0.003 0.075 0.517 0.045 0.212 0.091 0.016 0.01  0.015]
 [0.013 0.001 0.053 0.015 0.808 0.025 0.041 0.042 0.002 0.   ]
 [0.008 0.001 0.036 0.082 0.026 0.776 0.019 0.051 0.    0.001]
 [0.005 0.    0.012 0.041 0.005 0.002 0.932 0.001 0.001 0.001]
 [0.01  0.001 0.037 0.026 0.04  0.053 0.006 0.823 0.004 0.   ]
 [0.016 0.008 0.004 0.001 0.002 0.001 0.002 0.    0.863 0.103]
 [0.005 0.026 0.005 0.005 0.001 0.003 0.001 0.001 0.01  0.943]]
[2025-04-20 00:48:09,997 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 00:48:09,998 INFO] 124928 iteration, USE_EMA: True, train/sup_loss: 0.0531, train/aux_loss: 0.1557, train/total_loss: 0.2088, train/util_ratio: 0.7567, train/run_time: 1.7145, eval/loss: 0.7348, eval/top-1-acc: 0.8145, eval/top-5-acc: 0.9833, eval/balanced_acc: 0.8145, eval/precision: 0.8145, eval/recall: 0.8145, eval/F1: 0.8115, lr: 0.0238, train/prefecth_time: 0.0066 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 00:54:43,539 INFO] 125184 iteration USE_EMA: True, train/sup_loss: 0.1225, train/aux_loss: 0.1875, train/total_loss: 0.3100, train/util_ratio: 0.7902, train/run_time: 1.1991, lr: 0.0238, train/prefecth_time: 0.0060 
[2025-04-20 00:59:58,544 INFO] 125440 iteration USE_EMA: True, train/sup_loss: 0.2420, train/aux_loss: 0.2984, train/total_loss: 0.5404, train/util_ratio: 0.7388, train/run_time: 1.1221, lr: 0.0237, train/prefecth_time: 0.0043 
[2025-04-20 01:05:12,815 INFO] 125696 iteration USE_EMA: True, train/sup_loss: 0.2886, train/aux_loss: 0.4921, train/total_loss: 0.7807, train/util_ratio: 0.6205, train/run_time: 1.3150, lr: 0.0237, train/prefecth_time: 0.0065 
[2025-04-20 01:10:22,770 INFO] validating...
[2025-04-20 01:10:25,458 INFO] confusion matrix:
[[0.84  0.007 0.05  0.004 0.011 0.004 0.006 0.008 0.046 0.024]
 [0.005 0.944 0.004 0.    0.    0.002 0.002 0.001 0.007 0.035]
 [0.046 0.    0.709 0.023 0.066 0.059 0.081 0.009 0.004 0.003]
 [0.01  0.003 0.091 0.508 0.042 0.202 0.108 0.016 0.008 0.012]
 [0.007 0.    0.056 0.015 0.823 0.023 0.038 0.037 0.001 0.   ]
 [0.006 0.001 0.044 0.086 0.03  0.763 0.023 0.046 0.    0.001]
 [0.004 0.    0.014 0.043 0.006 0.002 0.928 0.001 0.001 0.001]
 [0.008 0.001 0.046 0.035 0.043 0.052 0.006 0.804 0.004 0.001]
 [0.016 0.008 0.003 0.001 0.003 0.001 0.004 0.    0.854 0.11 ]
 [0.006 0.03  0.005 0.005 0.002 0.002 0.001 0.    0.01  0.939]]
[2025-04-20 01:10:25,760 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 01:10:25,761 INFO] 125952 iteration, USE_EMA: True, train/sup_loss: 0.0937, train/aux_loss: 0.3397, train/total_loss: 0.4334, train/util_ratio: 0.6808, train/run_time: 1.2315, eval/loss: 0.7395, eval/top-1-acc: 0.8112, eval/top-5-acc: 0.9842, eval/balanced_acc: 0.8112, eval/precision: 0.8119, eval/recall: 0.8112, eval/F1: 0.8084, lr: 0.0237, train/prefecth_time: 0.0065 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 01:15:46,741 INFO] 126208 iteration USE_EMA: True, train/sup_loss: 0.1123, train/aux_loss: 0.1813, train/total_loss: 0.2937, train/util_ratio: 0.8036, train/run_time: 1.0999, lr: 0.0237, train/prefecth_time: 0.0065 
[2025-04-20 01:21:02,114 INFO] 126464 iteration USE_EMA: True, train/sup_loss: 0.2247, train/aux_loss: 0.2059, train/total_loss: 0.4305, train/util_ratio: 0.8036, train/run_time: 1.3143, lr: 0.0236, train/prefecth_time: 0.0044 
[2025-04-20 01:26:13,041 INFO] 126720 iteration USE_EMA: True, train/sup_loss: 0.2236, train/aux_loss: 0.1652, train/total_loss: 0.3889, train/util_ratio: 0.8259, train/run_time: 1.1344, lr: 0.0236, train/prefecth_time: 0.0065 
[2025-04-20 01:31:29,674 INFO] validating...
[2025-04-20 01:31:32,245 INFO] confusion matrix:
[[0.857 0.005 0.039 0.004 0.009 0.004 0.007 0.006 0.047 0.022]
 [0.007 0.933 0.004 0.    0.    0.002 0.003 0.002 0.008 0.041]
 [0.06  0.001 0.68  0.025 0.066 0.068 0.083 0.008 0.003 0.006]
 [0.017 0.004 0.07  0.534 0.034 0.208 0.094 0.017 0.007 0.015]
 [0.015 0.    0.049 0.019 0.805 0.021 0.038 0.05  0.002 0.001]
 [0.008 0.001 0.04  0.087 0.023 0.77  0.02  0.049 0.001 0.001]
 [0.008 0.    0.015 0.039 0.007 0.002 0.926 0.001 0.001 0.001]
 [0.008 0.001 0.035 0.035 0.036 0.047 0.006 0.826 0.003 0.003]
 [0.018 0.006 0.004 0.001 0.002 0.    0.001 0.    0.86  0.108]
 [0.006 0.024 0.003 0.005 0.001 0.001 0.001 0.002 0.01  0.947]]
[2025-04-20 01:31:32,644 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 01:31:32,645 INFO] 126976 iteration, USE_EMA: True, train/sup_loss: 0.0542, train/aux_loss: 0.2070, train/total_loss: 0.2612, train/util_ratio: 0.8058, train/run_time: 1.2713, eval/loss: 0.7642, eval/top-1-acc: 0.8138, eval/top-5-acc: 0.9832, eval/balanced_acc: 0.8138, eval/precision: 0.8137, eval/recall: 0.8138, eval/F1: 0.8110, lr: 0.0236, train/prefecth_time: 0.0038 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 01:36:16,880 INFO] 127232 iteration USE_EMA: True, train/sup_loss: 0.1022, train/aux_loss: 0.1913, train/total_loss: 0.2936, train/util_ratio: 0.7924, train/run_time: 1.1296, lr: 0.0236, train/prefecth_time: 0.0052 
[2025-04-20 01:41:45,697 INFO] 127488 iteration USE_EMA: True, train/sup_loss: 0.2185, train/aux_loss: 0.1568, train/total_loss: 0.3753, train/util_ratio: 0.7813, train/run_time: 1.5196, lr: 0.0235, train/prefecth_time: 0.0065 
[2025-04-20 01:47:17,759 INFO] 127744 iteration USE_EMA: True, train/sup_loss: 0.2245, train/aux_loss: 0.2125, train/total_loss: 0.4370, train/util_ratio: 0.7232, train/run_time: 1.5269, lr: 0.0235, train/prefecth_time: 0.0043 
[2025-04-20 01:52:45,911 INFO] validating...
[2025-04-20 01:52:48,725 INFO] confusion matrix:
[[0.863 0.004 0.038 0.004 0.007 0.005 0.008 0.006 0.046 0.019]
 [0.005 0.931 0.003 0.    0.    0.001 0.003 0.001 0.008 0.048]
 [0.061 0.002 0.656 0.031 0.069 0.071 0.09  0.012 0.004 0.004]
 [0.015 0.003 0.069 0.535 0.04  0.21  0.088 0.018 0.01  0.012]
 [0.015 0.001 0.047 0.018 0.806 0.026 0.038 0.046 0.003 0.   ]
 [0.007 0.001 0.035 0.085 0.027 0.773 0.019 0.05  0.002 0.001]
 [0.007 0.    0.013 0.041 0.006 0.001 0.929 0.001 0.001 0.001]
 [0.01  0.002 0.031 0.027 0.035 0.05  0.005 0.836 0.001 0.003]
 [0.018 0.008 0.004 0.003 0.002 0.    0.001 0.    0.861 0.103]
 [0.004 0.022 0.005 0.004 0.001 0.001 0.001 0.001 0.012 0.949]]
[2025-04-20 01:52:49,169 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 01:52:49,170 INFO] 128000 iteration, USE_EMA: True, train/sup_loss: 0.0546, train/aux_loss: 0.2481, train/total_loss: 0.3027, train/util_ratio: 0.7344, train/run_time: 1.1381, eval/loss: 0.7521, eval/top-1-acc: 0.8139, eval/top-5-acc: 0.9825, eval/balanced_acc: 0.8139, eval/precision: 0.8136, eval/recall: 0.8139, eval/F1: 0.8109, lr: 0.0235, train/prefecth_time: 0.0065 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 01:55:06,544 INFO] select_ulb_dist:
[  12.   39.  112.  262.  346.  896. 4454.  593. 2380. 1975.]
[2025-04-20 01:55:06,545 INFO] lb_select_ulb_dist:
[ 412.  278.  255.  348.  397.  926. 4472.  604. 2386. 1979.]
[2025-04-20 01:55:06,555 INFO] 125: Update the labeled data.
[2025-04-20 02:01:39,348 INFO] 128256 iteration USE_EMA: True, train/sup_loss: 0.4222, train/aux_loss: 0.6720, train/total_loss: 1.0942, train/util_ratio: 0.5737, train/run_time: 1.2613, lr: 0.0235, train/prefecth_time: 0.0065 
[2025-04-20 02:07:03,495 INFO] 128512 iteration USE_EMA: True, train/sup_loss: 0.1057, train/aux_loss: 0.4099, train/total_loss: 0.5157, train/util_ratio: 0.6518, train/run_time: 1.5745, lr: 0.0234, train/prefecth_time: 0.0044 
[2025-04-20 02:12:26,219 INFO] 128768 iteration USE_EMA: True, train/sup_loss: 0.1769, train/aux_loss: 0.3151, train/total_loss: 0.4920, train/util_ratio: 0.7344, train/run_time: 1.1919, lr: 0.0234, train/prefecth_time: 0.0045 
[2025-04-20 02:17:50,988 INFO] validating...
[2025-04-20 02:17:53,713 INFO] confusion matrix:
[[0.876 0.007 0.043 0.003 0.006 0.005 0.004 0.004 0.036 0.016]
 [0.005 0.941 0.004 0.001 0.    0.001 0.    0.001 0.006 0.041]
 [0.062 0.002 0.699 0.02  0.063 0.059 0.082 0.007 0.002 0.004]
 [0.022 0.004 0.088 0.536 0.038 0.19  0.088 0.014 0.007 0.013]
 [0.022 0.    0.057 0.019 0.809 0.019 0.032 0.041 0.001 0.   ]
 [0.011 0.001 0.039 0.089 0.03  0.761 0.023 0.044 0.001 0.001]
 [0.007 0.    0.014 0.037 0.006 0.001 0.932 0.001 0.001 0.001]
 [0.011 0.002 0.046 0.029 0.04  0.049 0.009 0.81  0.002 0.002]
 [0.022 0.009 0.005 0.001 0.001 0.    0.001 0.    0.849 0.112]
 [0.008 0.024 0.002 0.004 0.002 0.001 0.001 0.002 0.011 0.945]]
[2025-04-20 02:17:54,157 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 02:17:54,158 INFO] 129024 iteration, USE_EMA: True, train/sup_loss: 0.1420, train/aux_loss: 0.2694, train/total_loss: 0.4115, train/util_ratio: 0.7634, train/run_time: 1.0894, eval/loss: 0.7656, eval/top-1-acc: 0.8158, eval/top-5-acc: 0.9821, eval/balanced_acc: 0.8158, eval/precision: 0.8159, eval/recall: 0.8158, eval/F1: 0.8131, lr: 0.0234, train/prefecth_time: 0.0044 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 02:23:21,841 INFO] 129280 iteration USE_EMA: True, train/sup_loss: 0.1876, train/aux_loss: 0.1940, train/total_loss: 0.3816, train/util_ratio: 0.8013, train/run_time: 1.5512, lr: 0.0234, train/prefecth_time: 0.0044 
[2025-04-20 02:28:51,711 INFO] 129536 iteration USE_EMA: True, train/sup_loss: 0.0744, train/aux_loss: 0.1633, train/total_loss: 0.2377, train/util_ratio: 0.8192, train/run_time: 1.3783, lr: 0.0233, train/prefecth_time: 0.0091 
[2025-04-20 02:34:14,882 INFO] 129792 iteration USE_EMA: True, train/sup_loss: 0.1496, train/aux_loss: 0.1395, train/total_loss: 0.2890, train/util_ratio: 0.8036, train/run_time: 1.2652, lr: 0.0233, train/prefecth_time: 0.0054 
[2025-04-20 02:39:40,754 INFO] validating...
[2025-04-20 02:39:43,566 INFO] confusion matrix:
[[0.873 0.008 0.04  0.004 0.006 0.004 0.006 0.007 0.037 0.015]
 [0.003 0.937 0.003 0.    0.001 0.001 0.    0.001 0.006 0.048]
 [0.066 0.002 0.679 0.021 0.062 0.071 0.083 0.011 0.002 0.003]
 [0.02  0.004 0.069 0.534 0.042 0.215 0.081 0.017 0.004 0.014]
 [0.015 0.    0.048 0.02  0.808 0.023 0.036 0.047 0.003 0.   ]
 [0.008 0.002 0.031 0.089 0.026 0.774 0.02  0.048 0.001 0.001]
 [0.006 0.001 0.01  0.041 0.008 0.001 0.93  0.001 0.001 0.001]
 [0.008 0.003 0.037 0.029 0.037 0.051 0.007 0.824 0.003 0.001]
 [0.02  0.009 0.005 0.001 0.002 0.001 0.001 0.    0.853 0.108]
 [0.008 0.025 0.002 0.003 0.001 0.001 0.001 0.    0.011 0.948]]
[2025-04-20 02:39:44,064 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 02:39:44,066 INFO] 130048 iteration, USE_EMA: True, train/sup_loss: 0.1568, train/aux_loss: 0.2960, train/total_loss: 0.4529, train/util_ratio: 0.6853, train/run_time: 1.2259, eval/loss: 0.7736, eval/top-1-acc: 0.8160, eval/top-5-acc: 0.9793, eval/balanced_acc: 0.8160, eval/precision: 0.8160, eval/recall: 0.8160, eval/F1: 0.8131, lr: 0.0233, train/prefecth_time: 0.0044 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 02:45:10,837 INFO] 130304 iteration USE_EMA: True, train/sup_loss: 0.3657, train/aux_loss: 0.4674, train/total_loss: 0.8332, train/util_ratio: 0.6473, train/run_time: 1.3432, lr: 0.0233, train/prefecth_time: 0.0043 
[2025-04-20 02:50:40,422 INFO] 130560 iteration USE_EMA: True, train/sup_loss: 0.0919, train/aux_loss: 0.3312, train/total_loss: 0.4231, train/util_ratio: 0.6987, train/run_time: 1.5167, lr: 0.0232, train/prefecth_time: 0.0066 
[2025-04-20 02:56:05,950 INFO] 130816 iteration USE_EMA: True, train/sup_loss: 0.1576, train/aux_loss: 0.2438, train/total_loss: 0.4015, train/util_ratio: 0.7522, train/run_time: 1.2813, lr: 0.0232, train/prefecth_time: 0.0077 
[2025-04-20 03:01:32,922 INFO] validating...
[2025-04-20 03:01:35,486 INFO] confusion matrix:
[[0.871 0.007 0.041 0.007 0.007 0.007 0.003 0.006 0.036 0.015]
 [0.004 0.947 0.002 0.    0.    0.001 0.001 0.001 0.005 0.039]
 [0.069 0.001 0.684 0.018 0.065 0.061 0.084 0.012 0.002 0.004]
 [0.022 0.003 0.076 0.539 0.044 0.204 0.081 0.018 0.005 0.008]
 [0.015 0.    0.059 0.014 0.815 0.019 0.032 0.045 0.001 0.   ]
 [0.008 0.    0.037 0.087 0.029 0.767 0.017 0.053 0.001 0.001]
 [0.007 0.    0.011 0.042 0.006 0.002 0.929 0.001 0.001 0.001]
 [0.01  0.003 0.041 0.031 0.037 0.043 0.005 0.825 0.003 0.002]
 [0.02  0.01  0.006 0.003 0.001 0.    0.001 0.    0.855 0.104]
 [0.01  0.028 0.005 0.004 0.001 0.001 0.002 0.001 0.008 0.94 ]]
[2025-04-20 03:01:35,825 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 03:01:35,826 INFO] 131072 iteration, USE_EMA: True, train/sup_loss: 0.1433, train/aux_loss: 0.2026, train/total_loss: 0.3459, train/util_ratio: 0.7857, train/run_time: 1.2369, eval/loss: 0.7754, eval/top-1-acc: 0.8172, eval/top-5-acc: 0.9808, eval/balanced_acc: 0.8172, eval/precision: 0.8166, eval/recall: 0.8172, eval/F1: 0.8144, lr: 0.0232, train/prefecth_time: 0.0086 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 03:05:49,045 INFO] 131328 iteration USE_EMA: True, train/sup_loss: 0.1877, train/aux_loss: 0.1547, train/total_loss: 0.3424, train/util_ratio: 0.8415, train/run_time: 0.1740, lr: 0.0232, train/prefecth_time: 0.0084 
[2025-04-20 03:06:46,051 INFO] 131584 iteration USE_EMA: True, train/sup_loss: 0.0755, train/aux_loss: 0.1153, train/total_loss: 0.1908, train/util_ratio: 0.8304, train/run_time: 0.1745, lr: 0.0231, train/prefecth_time: 0.0944 
[2025-04-20 03:07:43,380 INFO] 131840 iteration USE_EMA: True, train/sup_loss: 0.1644, train/aux_loss: 0.1596, train/total_loss: 0.3241, train/util_ratio: 0.8058, train/run_time: 0.1762, lr: 0.0231, train/prefecth_time: 0.0091 
[2025-04-20 03:08:40,068 INFO] validating...
[2025-04-20 03:08:44,201 INFO] confusion matrix:
[[0.88  0.004 0.034 0.004 0.006 0.006 0.006 0.005 0.038 0.017]
 [0.005 0.937 0.002 0.    0.    0.001 0.001 0.001 0.008 0.045]
 [0.076 0.002 0.662 0.019 0.061 0.067 0.091 0.014 0.003 0.005]
 [0.02  0.003 0.066 0.503 0.047 0.23  0.093 0.017 0.007 0.014]
 [0.015 0.    0.042 0.013 0.821 0.022 0.037 0.049 0.001 0.   ]
 [0.009 0.001 0.028 0.08  0.027 0.778 0.02  0.054 0.001 0.002]
 [0.007 0.    0.01  0.035 0.007 0.002 0.936 0.001 0.001 0.001]
 [0.01  0.002 0.032 0.028 0.033 0.058 0.005 0.826 0.004 0.002]
 [0.016 0.009 0.006 0.001 0.002 0.001 0.002 0.    0.861 0.102]
 [0.01  0.021 0.003 0.004 0.001 0.001 0.001 0.    0.01  0.949]]
[2025-04-20 03:08:45,514 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 03:08:45,515 INFO] 132096 iteration, USE_EMA: True, train/sup_loss: 0.1348, train/aux_loss: 0.0933, train/total_loss: 0.2281, train/util_ratio: 0.8281, train/run_time: 0.2930, eval/loss: 0.7772, eval/top-1-acc: 0.8153, eval/top-5-acc: 0.9805, eval/balanced_acc: 0.8153, eval/precision: 0.8157, eval/recall: 0.8153, eval/F1: 0.8115, lr: 0.0231, train/prefecth_time: 0.0065 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 03:09:43,918 INFO] 132352 iteration USE_EMA: True, train/sup_loss: 0.1900, train/aux_loss: 0.1313, train/total_loss: 0.3214, train/util_ratio: 0.8214, train/run_time: 0.1802, lr: 0.0231, train/prefecth_time: 0.0070 
[2025-04-20 03:10:40,404 INFO] 132608 iteration USE_EMA: True, train/sup_loss: 0.0607, train/aux_loss: 0.1125, train/total_loss: 0.1732, train/util_ratio: 0.8259, train/run_time: 0.1707, lr: 0.0230, train/prefecth_time: 0.0042 
[2025-04-20 03:11:36,883 INFO] 132864 iteration USE_EMA: True, train/sup_loss: 0.1495, train/aux_loss: 0.1299, train/total_loss: 0.2794, train/util_ratio: 0.8304, train/run_time: 0.1716, lr: 0.0230, train/prefecth_time: 0.0072 
[2025-04-20 03:12:32,277 INFO] validating...
[2025-04-20 03:12:34,824 INFO] confusion matrix:
[[0.874 0.007 0.032 0.004 0.007 0.003 0.007 0.005 0.046 0.015]
 [0.004 0.931 0.002 0.    0.    0.001 0.002 0.    0.011 0.049]
 [0.08  0.002 0.644 0.02  0.06  0.075 0.095 0.016 0.002 0.006]
 [0.023 0.004 0.056 0.499 0.051 0.23  0.095 0.019 0.008 0.015]
 [0.013 0.001 0.04  0.013 0.818 0.026 0.041 0.047 0.001 0.   ]
 [0.008 0.    0.028 0.08  0.029 0.782 0.019 0.051 0.001 0.002]
 [0.007 0.    0.007 0.035 0.008 0.001 0.939 0.001 0.001 0.001]
 [0.01  0.002 0.036 0.024 0.037 0.055 0.004 0.826 0.004 0.002]
 [0.014 0.008 0.006 0.002 0.002 0.    0.002 0.    0.87  0.096]
 [0.009 0.017 0.004 0.003 0.001 0.001 0.001 0.002 0.009 0.953]]
[2025-04-20 03:12:35,197 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 03:12:35,198 INFO] 133120 iteration, USE_EMA: True, train/sup_loss: 0.1793, train/aux_loss: 0.2730, train/total_loss: 0.4523, train/util_ratio: 0.6920, train/run_time: 0.1651, eval/loss: 0.7576, eval/top-1-acc: 0.8136, eval/top-5-acc: 0.9800, eval/balanced_acc: 0.8136, eval/precision: 0.8140, eval/recall: 0.8136, eval/F1: 0.8094, lr: 0.0230, train/prefecth_time: 0.0043 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 03:14:51,334 INFO] select_ulb_dist:
[   0.    5.  113.  263.  346.  896. 4454.  593. 2380. 1975.]
[2025-04-20 03:14:51,335 INFO] lb_select_ulb_dist:
[ 400.  244.  256.  349.  397.  926. 4472.  604. 2386. 1979.]
[2025-04-20 03:14:51,349 INFO] 130: Update the labeled data.
[2025-04-20 03:16:16,166 INFO] 133376 iteration USE_EMA: True, train/sup_loss: 0.2731, train/aux_loss: 0.4224, train/total_loss: 0.6954, train/util_ratio: 0.6786, train/run_time: 0.1748, lr: 0.0230, train/prefecth_time: 0.0097 
[2025-04-20 03:17:13,199 INFO] 133632 iteration USE_EMA: True, train/sup_loss: 0.1940, train/aux_loss: 0.3484, train/total_loss: 0.5424, train/util_ratio: 0.6741, train/run_time: 0.1903, lr: 0.0229, train/prefecth_time: 0.0925 
[2025-04-20 03:18:11,111 INFO] 133888 iteration USE_EMA: True, train/sup_loss: 0.2095, train/aux_loss: 0.3928, train/total_loss: 0.6024, train/util_ratio: 0.7076, train/run_time: 0.2860, lr: 0.0229, train/prefecth_time: 0.0083 
[2025-04-20 03:19:10,022 INFO] validating...
[2025-04-20 03:19:12,830 INFO] confusion matrix:
[[0.874 0.004 0.03  0.004 0.011 0.007 0.004 0.004 0.042 0.02 ]
 [0.006 0.94  0.003 0.001 0.    0.001 0.002 0.    0.009 0.038]
 [0.066 0.001 0.693 0.022 0.065 0.066 0.066 0.009 0.005 0.007]
 [0.025 0.002 0.074 0.517 0.062 0.204 0.078 0.017 0.006 0.015]
 [0.015 0.    0.051 0.01  0.836 0.02  0.023 0.042 0.002 0.001]
 [0.008 0.002 0.037 0.075 0.031 0.772 0.02  0.052 0.001 0.002]
 [0.006 0.    0.011 0.037 0.007 0.002 0.934 0.001 0.001 0.001]
 [0.007 0.003 0.034 0.021 0.043 0.057 0.004 0.826 0.003 0.002]
 [0.018 0.007 0.002 0.002 0.003 0.001 0.001 0.    0.864 0.102]
 [0.009 0.026 0.002 0.004 0.001 0.001 0.001 0.001 0.008 0.947]]
[2025-04-20 03:19:13,222 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 03:19:13,223 INFO] 134144 iteration, USE_EMA: True, train/sup_loss: 0.2785, train/aux_loss: 0.3214, train/total_loss: 0.5999, train/util_ratio: 0.7723, train/run_time: 0.1841, eval/loss: 0.7519, eval/top-1-acc: 0.8203, eval/top-5-acc: 0.9824, eval/balanced_acc: 0.8203, eval/precision: 0.8202, eval/recall: 0.8203, eval/F1: 0.8169, lr: 0.0229, train/prefecth_time: 0.0057 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 03:20:11,954 INFO] 134400 iteration USE_EMA: True, train/sup_loss: 0.2042, train/aux_loss: 0.2188, train/total_loss: 0.4230, train/util_ratio: 0.7567, train/run_time: 0.1834, lr: 0.0229, train/prefecth_time: 0.0239 
[2025-04-20 03:21:08,293 INFO] 134656 iteration USE_EMA: True, train/sup_loss: 0.1464, train/aux_loss: 0.1914, train/total_loss: 0.3378, train/util_ratio: 0.8125, train/run_time: 0.1537, lr: 0.0228, train/prefecth_time: 0.0701 
[2025-04-20 03:22:04,778 INFO] 134912 iteration USE_EMA: True, train/sup_loss: 0.1863, train/aux_loss: 0.1936, train/total_loss: 0.3798, train/util_ratio: 0.8080, train/run_time: 0.1864, lr: 0.0228, train/prefecth_time: 0.0514 
[2025-04-20 03:23:01,447 INFO] validating...
[2025-04-20 03:23:06,923 INFO] confusion matrix:
[[0.882 0.003 0.027 0.004 0.01  0.005 0.003 0.005 0.042 0.019]
 [0.007 0.932 0.004 0.    0.    0.001 0.003 0.    0.009 0.044]
 [0.081 0.001 0.653 0.024 0.064 0.075 0.076 0.016 0.004 0.006]
 [0.027 0.002 0.055 0.523 0.051 0.221 0.08  0.017 0.006 0.018]
 [0.019 0.001 0.04  0.011 0.82  0.026 0.032 0.048 0.002 0.001]
 [0.008 0.002 0.035 0.077 0.026 0.777 0.021 0.051 0.001 0.002]
 [0.007 0.    0.009 0.039 0.006 0.003 0.932 0.002 0.001 0.001]
 [0.009 0.002 0.029 0.029 0.032 0.059 0.004 0.829 0.004 0.003]
 [0.017 0.007 0.003 0.002 0.004 0.001 0.001 0.    0.864 0.101]
 [0.013 0.021 0.002 0.003 0.    0.002 0.001 0.002 0.008 0.948]]
[2025-04-20 03:23:07,532 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 03:23:07,533 INFO] 135168 iteration, USE_EMA: True, train/sup_loss: 0.1805, train/aux_loss: 0.1111, train/total_loss: 0.2916, train/util_ratio: 0.8214, train/run_time: 0.1628, eval/loss: 0.7679, eval/top-1-acc: 0.8160, eval/top-5-acc: 0.9814, eval/balanced_acc: 0.8160, eval/precision: 0.8165, eval/recall: 0.8160, eval/F1: 0.8125, lr: 0.0228, train/prefecth_time: 0.0105 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 03:24:06,950 INFO] 135424 iteration USE_EMA: True, train/sup_loss: 0.1718, train/aux_loss: 0.1045, train/total_loss: 0.2764, train/util_ratio: 0.7969, train/run_time: 0.1618, lr: 0.0228, train/prefecth_time: 0.0671 
[2025-04-20 03:25:04,563 INFO] 135680 iteration USE_EMA: True, train/sup_loss: 0.6087, train/aux_loss: 0.6856, train/total_loss: 1.2942, train/util_ratio: 0.6116, train/run_time: 0.1556, lr: 0.0227, train/prefecth_time: 0.0140 
[2025-04-20 03:26:01,764 INFO] 135936 iteration USE_EMA: True, train/sup_loss: 0.2815, train/aux_loss: 0.3755, train/total_loss: 0.6569, train/util_ratio: 0.6853, train/run_time: 0.1651, lr: 0.0227, train/prefecth_time: 0.0072 
[2025-04-20 03:26:58,179 INFO] validating...
[2025-04-20 03:27:01,065 INFO] confusion matrix:
[[0.872 0.006 0.038 0.003 0.014 0.006 0.005 0.002 0.036 0.018]
 [0.006 0.944 0.003 0.001 0.    0.001 0.002 0.    0.007 0.036]
 [0.07  0.001 0.693 0.021 0.065 0.057 0.08  0.006 0.002 0.005]
 [0.025 0.003 0.088 0.528 0.051 0.181 0.088 0.016 0.006 0.014]
 [0.015 0.    0.05  0.013 0.828 0.019 0.035 0.039 0.001 0.   ]
 [0.007 0.002 0.051 0.085 0.032 0.753 0.021 0.047 0.001 0.001]
 [0.006 0.    0.012 0.036 0.005 0.002 0.936 0.001 0.001 0.001]
 [0.007 0.003 0.046 0.031 0.044 0.051 0.006 0.807 0.003 0.002]
 [0.019 0.009 0.005 0.003 0.003 0.    0.002 0.    0.853 0.106]
 [0.014 0.028 0.002 0.004 0.001 0.001 0.002 0.001 0.008 0.939]]
[2025-04-20 03:27:02,616 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 03:27:02,617 INFO] 136192 iteration, USE_EMA: True, train/sup_loss: 0.2635, train/aux_loss: 0.3930, train/total_loss: 0.6566, train/util_ratio: 0.7210, train/run_time: 0.1600, eval/loss: 0.7552, eval/top-1-acc: 0.8153, eval/top-5-acc: 0.9816, eval/balanced_acc: 0.8153, eval/precision: 0.8152, eval/recall: 0.8153, eval/F1: 0.8123, lr: 0.0227, train/prefecth_time: 0.0365 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 03:28:02,513 INFO] 136448 iteration USE_EMA: True, train/sup_loss: 0.1979, train/aux_loss: 0.2307, train/total_loss: 0.4286, train/util_ratio: 0.7746, train/run_time: 0.1757, lr: 0.0226, train/prefecth_time: 0.0525 
[2025-04-20 03:28:59,515 INFO] 136704 iteration USE_EMA: True, train/sup_loss: 0.1420, train/aux_loss: 0.1794, train/total_loss: 0.3214, train/util_ratio: 0.7946, train/run_time: 0.2454, lr: 0.0226, train/prefecth_time: 0.0078 
[2025-04-20 03:29:57,197 INFO] 136960 iteration USE_EMA: True, train/sup_loss: 0.1841, train/aux_loss: 0.1678, train/total_loss: 0.3519, train/util_ratio: 0.8125, train/run_time: 0.1736, lr: 0.0226, train/prefecth_time: 0.0496 
[2025-04-20 03:30:54,296 INFO] validating...
[2025-04-20 03:30:57,188 INFO] confusion matrix:
[[0.882 0.005 0.029 0.005 0.01  0.005 0.003 0.003 0.039 0.019]
 [0.004 0.931 0.003 0.001 0.    0.001 0.001 0.    0.011 0.048]
 [0.073 0.001 0.659 0.024 0.071 0.064 0.086 0.011 0.004 0.007]
 [0.027 0.004 0.067 0.519 0.048 0.204 0.086 0.019 0.01  0.016]
 [0.015 0.    0.047 0.019 0.817 0.026 0.032 0.041 0.003 0.   ]
 [0.009 0.002 0.035 0.087 0.032 0.767 0.022 0.043 0.001 0.002]
 [0.008 0.001 0.009 0.039 0.008 0.002 0.93  0.001 0.001 0.001]
 [0.01  0.004 0.031 0.03  0.037 0.058 0.005 0.818 0.004 0.003]
 [0.02  0.008 0.004 0.002 0.002 0.001 0.001 0.    0.86  0.102]
 [0.012 0.024 0.002 0.005 0.002 0.001 0.001 0.001 0.009 0.943]]
[2025-04-20 03:30:57,618 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 03:30:57,619 INFO] 137216 iteration, USE_EMA: True, train/sup_loss: 0.1797, train/aux_loss: 0.1450, train/total_loss: 0.3247, train/util_ratio: 0.8259, train/run_time: 0.1639, eval/loss: 0.7715, eval/top-1-acc: 0.8126, eval/top-5-acc: 0.9791, eval/balanced_acc: 0.8126, eval/precision: 0.8120, eval/recall: 0.8126, eval/F1: 0.8091, lr: 0.0226, train/prefecth_time: 0.0080 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 03:31:56,766 INFO] 137472 iteration USE_EMA: True, train/sup_loss: 0.1732, train/aux_loss: 0.1888, train/total_loss: 0.3620, train/util_ratio: 0.8103, train/run_time: 0.1962, lr: 0.0225, train/prefecth_time: 0.0103 
[2025-04-20 03:32:54,378 INFO] 137728 iteration USE_EMA: True, train/sup_loss: 0.1384, train/aux_loss: 0.1063, train/total_loss: 0.2446, train/util_ratio: 0.8326, train/run_time: 0.1632, lr: 0.0225, train/prefecth_time: 0.0120 
[2025-04-20 03:33:52,441 INFO] 137984 iteration USE_EMA: True, train/sup_loss: 0.1888, train/aux_loss: 0.2115, train/total_loss: 0.4003, train/util_ratio: 0.7768, train/run_time: 0.1756, lr: 0.0225, train/prefecth_time: 0.0138 
[2025-04-20 03:34:50,746 INFO] validating...
[2025-04-20 03:34:53,423 INFO] confusion matrix:
[[0.879 0.002 0.032 0.005 0.01  0.003 0.004 0.002 0.043 0.02 ]
 [0.006 0.925 0.003 0.001 0.    0.001 0.001 0.001 0.012 0.05 ]
 [0.076 0.002 0.647 0.024 0.063 0.071 0.096 0.009 0.006 0.006]
 [0.025 0.004 0.061 0.512 0.044 0.219 0.088 0.02  0.009 0.018]
 [0.016 0.    0.047 0.019 0.809 0.029 0.036 0.043 0.001 0.   ]
 [0.009 0.001 0.035 0.077 0.029 0.776 0.021 0.048 0.002 0.002]
 [0.008 0.001 0.009 0.038 0.006 0.002 0.933 0.001 0.001 0.001]
 [0.009 0.004 0.029 0.027 0.032 0.061 0.006 0.825 0.004 0.003]
 [0.017 0.008 0.004 0.004 0.001 0.    0.001 0.    0.869 0.096]
 [0.011 0.024 0.002 0.005 0.002 0.002 0.001 0.001 0.008 0.944]]
[2025-04-20 03:34:53,838 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 03:34:53,839 INFO] 138240 iteration, USE_EMA: True, train/sup_loss: 0.1821, train/aux_loss: 0.1276, train/total_loss: 0.3097, train/util_ratio: 0.8058, train/run_time: 0.1742, eval/loss: 0.7619, eval/top-1-acc: 0.8119, eval/top-5-acc: 0.9787, eval/balanced_acc: 0.8119, eval/precision: 0.8120, eval/recall: 0.8119, eval/F1: 0.8083, lr: 0.0225, train/prefecth_time: 0.0557 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 03:37:05,953 INFO] select_ulb_dist:
[   0.    0.  113.  263.  346.  896. 4454.  593. 2381. 1975.]
[2025-04-20 03:37:05,954 INFO] lb_select_ulb_dist:
[ 400.  239.  256.  349.  397.  926. 4472.  604. 2387. 1979.]
[2025-04-20 03:37:05,977 INFO] 135: Update the labeled data.
[2025-04-20 03:38:32,082 INFO] 138496 iteration USE_EMA: True, train/sup_loss: 0.1618, train/aux_loss: 0.1930, train/total_loss: 0.3548, train/util_ratio: 0.7589, train/run_time: 0.1707, lr: 0.0224, train/prefecth_time: 0.0053 
[2025-04-20 03:39:29,189 INFO] 138752 iteration USE_EMA: True, train/sup_loss: 0.4983, train/aux_loss: 0.6095, train/total_loss: 1.1078, train/util_ratio: 0.5982, train/run_time: 0.1621, lr: 0.0224, train/prefecth_time: 0.0053 
[2025-04-20 03:40:26,185 INFO] 139008 iteration USE_EMA: True, train/sup_loss: 0.1351, train/aux_loss: 0.3832, train/total_loss: 0.5184, train/util_ratio: 0.6518, train/run_time: 0.1635, lr: 0.0224, train/prefecth_time: 0.0128 
[2025-04-20 03:41:23,167 INFO] validating...
[2025-04-20 03:41:26,407 INFO] confusion matrix:
[[0.882 0.005 0.037 0.003 0.01  0.003 0.003 0.004 0.034 0.019]
 [0.004 0.941 0.003 0.001 0.    0.001 0.001 0.    0.008 0.041]
 [0.06  0.001 0.691 0.021 0.069 0.066 0.074 0.008 0.003 0.007]
 [0.024 0.004 0.078 0.521 0.05  0.195 0.09  0.017 0.009 0.012]
 [0.013 0.    0.051 0.016 0.822 0.023 0.033 0.039 0.002 0.001]
 [0.008 0.001 0.04  0.078 0.031 0.771 0.019 0.05  0.001 0.001]
 [0.007 0.001 0.012 0.037 0.007 0.002 0.93  0.001 0.001 0.002]
 [0.009 0.002 0.039 0.031 0.039 0.053 0.009 0.815 0.002 0.001]
 [0.017 0.007 0.005 0.005 0.003 0.    0.001 0.    0.853 0.109]
 [0.009 0.031 0.001 0.005 0.    0.001 0.002 0.001 0.009 0.941]]
[2025-04-20 03:41:26,766 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 03:41:26,766 INFO] 139264 iteration, USE_EMA: True, train/sup_loss: 0.1917, train/aux_loss: 0.3218, train/total_loss: 0.5135, train/util_ratio: 0.6808, train/run_time: 0.1849, eval/loss: 0.7530, eval/top-1-acc: 0.8167, eval/top-5-acc: 0.9821, eval/balanced_acc: 0.8167, eval/precision: 0.8165, eval/recall: 0.8167, eval/F1: 0.8135, lr: 0.0224, train/prefecth_time: 0.0043 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 03:42:25,104 INFO] 139520 iteration USE_EMA: True, train/sup_loss: 0.2036, train/aux_loss: 0.2226, train/total_loss: 0.4262, train/util_ratio: 0.7589, train/run_time: 0.1696, lr: 0.0223, train/prefecth_time: 0.0099 
[2025-04-20 03:43:21,052 INFO] 139776 iteration USE_EMA: True, train/sup_loss: 0.1055, train/aux_loss: 0.1737, train/total_loss: 0.2793, train/util_ratio: 0.7902, train/run_time: 0.1639, lr: 0.0223, train/prefecth_time: 0.0054 
[2025-04-20 03:44:16,905 INFO] 140032 iteration USE_EMA: True, train/sup_loss: 0.1415, train/aux_loss: 0.1847, train/total_loss: 0.3262, train/util_ratio: 0.7924, train/run_time: 0.2361, lr: 0.0223, train/prefecth_time: 0.0076 
[2025-04-20 03:45:11,319 INFO] validating...
[2025-04-20 03:45:13,858 INFO] confusion matrix:
[[0.877 0.005 0.035 0.003 0.008 0.005 0.003 0.004 0.04  0.02 ]
 [0.005 0.938 0.002 0.001 0.    0.001 0.001 0.    0.009 0.043]
 [0.071 0.002 0.669 0.023 0.066 0.066 0.078 0.013 0.006 0.006]
 [0.027 0.003 0.06  0.515 0.041 0.222 0.089 0.02  0.008 0.015]
 [0.015 0.    0.05  0.018 0.807 0.024 0.038 0.046 0.002 0.   ]
 [0.01  0.002 0.04  0.08  0.029 0.765 0.018 0.053 0.001 0.002]
 [0.006 0.001 0.009 0.033 0.006 0.004 0.937 0.001 0.001 0.002]
 [0.009 0.001 0.036 0.028 0.039 0.057 0.007 0.82  0.003 0.   ]
 [0.017 0.008 0.005 0.003 0.002 0.001 0.    0.    0.864 0.1  ]
 [0.009 0.023 0.001 0.005 0.    0.002 0.001 0.001 0.009 0.949]]
[2025-04-20 03:45:14,515 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 03:45:14,516 INFO] 140288 iteration, USE_EMA: True, train/sup_loss: 0.1679, train/aux_loss: 0.1985, train/total_loss: 0.3664, train/util_ratio: 0.7299, train/run_time: 0.2134, eval/loss: 0.7710, eval/top-1-acc: 0.8141, eval/top-5-acc: 0.9802, eval/balanced_acc: 0.8141, eval/precision: 0.8139, eval/recall: 0.8141, eval/F1: 0.8106, lr: 0.0222, train/prefecth_time: 0.0065 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 03:46:11,530 INFO] 140544 iteration USE_EMA: True, train/sup_loss: 0.1543, train/aux_loss: 0.1336, train/total_loss: 0.2879, train/util_ratio: 0.7991, train/run_time: 0.1569, lr: 0.0222, train/prefecth_time: 0.0068 
[2025-04-20 03:47:06,473 INFO] 140800 iteration USE_EMA: True, train/sup_loss: 0.1131, train/aux_loss: 0.1907, train/total_loss: 0.3038, train/util_ratio: 0.7813, train/run_time: 0.1603, lr: 0.0222, train/prefecth_time: 0.0075 
[2025-04-20 03:48:01,454 INFO] 141056 iteration USE_EMA: True, train/sup_loss: 0.1342, train/aux_loss: 0.2087, train/total_loss: 0.3429, train/util_ratio: 0.7411, train/run_time: 0.1843, lr: 0.0222, train/prefecth_time: 0.0090 
[2025-04-20 03:48:56,847 INFO] validating...
[2025-04-20 03:48:59,456 INFO] confusion matrix:
[[0.89  0.005 0.028 0.003 0.005 0.006 0.003 0.001 0.042 0.017]
 [0.004 0.927 0.003 0.001 0.    0.001 0.001 0.    0.009 0.054]
 [0.077 0.002 0.643 0.028 0.071 0.068 0.088 0.012 0.006 0.005]
 [0.029 0.003 0.052 0.528 0.04  0.209 0.09  0.026 0.008 0.015]
 [0.017 0.    0.041 0.02  0.815 0.023 0.038 0.044 0.002 0.   ]
 [0.009 0.001 0.035 0.085 0.03  0.769 0.019 0.049 0.001 0.002]
 [0.008 0.001 0.006 0.036 0.006 0.004 0.936 0.001 0.001 0.001]
 [0.01  0.002 0.032 0.029 0.039 0.053 0.006 0.826 0.003 0.   ]
 [0.016 0.009 0.001 0.002 0.002 0.001 0.001 0.    0.866 0.102]
 [0.012 0.021 0.001 0.003 0.    0.001 0.001 0.001 0.008 0.952]]
[2025-04-20 03:49:02,238 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 03:49:02,239 INFO] 141312 iteration, USE_EMA: True, train/sup_loss: 0.1929, train/aux_loss: 0.2476, train/total_loss: 0.4405, train/util_ratio: 0.7701, train/run_time: 0.1658, eval/loss: 0.7619, eval/top-1-acc: 0.8152, eval/top-5-acc: 0.9791, eval/balanced_acc: 0.8152, eval/precision: 0.8149, eval/recall: 0.8152, eval/F1: 0.8115, lr: 0.0221, train/prefecth_time: 0.0066 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 03:50:01,211 INFO] 141568 iteration USE_EMA: True, train/sup_loss: 0.2149, train/aux_loss: 0.4537, train/total_loss: 0.6686, train/util_ratio: 0.6295, train/run_time: 0.1657, lr: 0.0221, train/prefecth_time: 0.0047 
[2025-04-20 03:50:59,764 INFO] 141824 iteration USE_EMA: True, train/sup_loss: 0.1320, train/aux_loss: 0.3372, train/total_loss: 0.4692, train/util_ratio: 0.6786, train/run_time: 0.1672, lr: 0.0221, train/prefecth_time: 0.0052 
[2025-04-20 03:51:58,009 INFO] 142080 iteration USE_EMA: True, train/sup_loss: 0.1220, train/aux_loss: 0.2500, train/total_loss: 0.3720, train/util_ratio: 0.7857, train/run_time: 0.1650, lr: 0.0221, train/prefecth_time: 0.0041 
[2025-04-20 03:52:57,414 INFO] validating...
[2025-04-20 03:53:00,096 INFO] confusion matrix:
[[0.888 0.004 0.03  0.003 0.007 0.005 0.005 0.003 0.035 0.02 ]
 [0.007 0.941 0.003 0.    0.    0.001 0.003 0.    0.005 0.04 ]
 [0.066 0.001 0.685 0.025 0.072 0.059 0.072 0.011 0.003 0.006]
 [0.023 0.004 0.073 0.525 0.046 0.208 0.082 0.017 0.007 0.015]
 [0.015 0.    0.044 0.015 0.822 0.023 0.032 0.047 0.001 0.001]
 [0.006 0.    0.045 0.083 0.031 0.764 0.021 0.049 0.    0.001]
 [0.008 0.    0.011 0.039 0.006 0.002 0.929 0.002 0.001 0.002]
 [0.009 0.002 0.037 0.027 0.045 0.049 0.008 0.821 0.002 0.   ]
 [0.018 0.01  0.004 0.003 0.003 0.001 0.001 0.    0.849 0.111]
 [0.01  0.023 0.002 0.004 0.    0.001 0.002 0.    0.007 0.951]]
[2025-04-20 03:53:00,916 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 03:53:00,917 INFO] 142336 iteration, USE_EMA: True, train/sup_loss: 0.1776, train/aux_loss: 0.2199, train/total_loss: 0.3976, train/util_ratio: 0.7634, train/run_time: 0.1752, eval/loss: 0.7532, eval/top-1-acc: 0.8175, eval/top-5-acc: 0.9806, eval/balanced_acc: 0.8175, eval/precision: 0.8173, eval/recall: 0.8175, eval/F1: 0.8143, lr: 0.0220, train/prefecth_time: 0.0090 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 03:54:02,469 INFO] 142592 iteration USE_EMA: True, train/sup_loss: 0.1564, train/aux_loss: 0.1789, train/total_loss: 0.3353, train/util_ratio: 0.7991, train/run_time: 0.1758, lr: 0.0220, train/prefecth_time: 0.0233 
[2025-04-20 03:55:01,098 INFO] 142848 iteration USE_EMA: True, train/sup_loss: 0.1027, train/aux_loss: 0.1679, train/total_loss: 0.2706, train/util_ratio: 0.7991, train/run_time: 0.1614, lr: 0.0220, train/prefecth_time: 0.0109 
[2025-04-20 03:55:59,322 INFO] 143104 iteration USE_EMA: True, train/sup_loss: 0.0952, train/aux_loss: 0.1410, train/total_loss: 0.2362, train/util_ratio: 0.8259, train/run_time: 0.1983, lr: 0.0219, train/prefecth_time: 0.0332 
[2025-04-20 03:56:58,630 INFO] validating...
[2025-04-20 03:57:06,092 INFO] confusion matrix:
[[0.883 0.003 0.027 0.003 0.006 0.006 0.005 0.003 0.046 0.018]
 [0.005 0.936 0.003 0.    0.    0.001 0.001 0.    0.009 0.045]
 [0.077 0.002 0.657 0.026 0.069 0.068 0.08  0.011 0.005 0.005]
 [0.031 0.003 0.061 0.504 0.045 0.231 0.082 0.019 0.008 0.016]
 [0.016 0.    0.04  0.018 0.813 0.026 0.035 0.049 0.002 0.001]
 [0.008 0.    0.038 0.081 0.026 0.778 0.017 0.05  0.001 0.001]
 [0.008 0.    0.007 0.04  0.005 0.003 0.932 0.002 0.001 0.002]
 [0.009 0.001 0.036 0.027 0.04  0.05  0.006 0.827 0.003 0.001]
 [0.019 0.007 0.002 0.005 0.003 0.001 0.001 0.    0.859 0.103]
 [0.007 0.024 0.003 0.003 0.    0.002 0.001 0.002 0.007 0.951]]
[2025-04-20 03:57:07,865 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 03:57:07,866 INFO] 143360 iteration, USE_EMA: True, train/sup_loss: 0.1661, train/aux_loss: 0.1713, train/total_loss: 0.3375, train/util_ratio: 0.7969, train/run_time: 0.1759, eval/loss: 0.7561, eval/top-1-acc: 0.8140, eval/top-5-acc: 0.9800, eval/balanced_acc: 0.8140, eval/precision: 0.8136, eval/recall: 0.8140, eval/F1: 0.8102, lr: 0.0219, train/prefecth_time: 0.0450 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 03:59:24,926 INFO] select_ulb_dist:
[2.000e+00 4.900e+01 1.130e+02 2.630e+02 3.460e+02 8.960e+02 4.454e+03
 5.930e+02 2.381e+03 1.975e+03]
[2025-04-20 03:59:24,927 INFO] lb_select_ulb_dist:
[ 402.  288.  256.  349.  397.  926. 4472.  604. 2387. 1979.]
[2025-04-20 03:59:24,955 INFO] 140: Update the labeled data.
[2025-04-20 04:00:55,179 INFO] 143616 iteration USE_EMA: True, train/sup_loss: 0.1182, train/aux_loss: 0.1196, train/total_loss: 0.2378, train/util_ratio: 0.7857, train/run_time: 0.1808, lr: 0.0219, train/prefecth_time: 0.0053 
[2025-04-20 04:01:55,041 INFO] 143872 iteration USE_EMA: True, train/sup_loss: 0.1264, train/aux_loss: 0.1195, train/total_loss: 0.2459, train/util_ratio: 0.8237, train/run_time: 0.1730, lr: 0.0219, train/prefecth_time: 0.0087 
[2025-04-20 04:02:53,468 INFO] 144128 iteration USE_EMA: True, train/sup_loss: 0.1068, train/aux_loss: 0.0931, train/total_loss: 0.1999, train/util_ratio: 0.8058, train/run_time: 0.1941, lr: 0.0218, train/prefecth_time: 0.1068 
[2025-04-20 04:03:53,250 INFO] validating...
[2025-04-20 04:03:56,008 INFO] confusion matrix:
[[0.889 0.003 0.025 0.003 0.005 0.006 0.005 0.002 0.043 0.019]
 [0.004 0.929 0.002 0.    0.    0.002 0.    0.    0.011 0.052]
 [0.079 0.002 0.665 0.023 0.058 0.068 0.073 0.019 0.006 0.007]
 [0.03  0.004 0.056 0.51  0.043 0.233 0.08  0.021 0.007 0.016]
 [0.013 0.    0.047 0.018 0.806 0.026 0.03  0.057 0.002 0.001]
 [0.006 0.    0.036 0.08  0.022 0.786 0.015 0.05  0.002 0.003]
 [0.009 0.    0.007 0.039 0.006 0.003 0.933 0.001 0.001 0.001]
 [0.006 0.001 0.027 0.03  0.039 0.051 0.005 0.836 0.004 0.001]
 [0.018 0.007 0.006 0.006 0.002 0.001 0.    0.    0.864 0.096]
 [0.007 0.019 0.002 0.003 0.    0.002 0.001 0.002 0.007 0.957]]
[2025-04-20 04:03:56,447 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 04:03:56,448 INFO] 144384 iteration, USE_EMA: True, train/sup_loss: 0.1562, train/aux_loss: 0.1560, train/total_loss: 0.3123, train/util_ratio: 0.7857, train/run_time: 0.1670, eval/loss: 0.7563, eval/top-1-acc: 0.8175, eval/top-5-acc: 0.9786, eval/balanced_acc: 0.8175, eval/precision: 0.8173, eval/recall: 0.8175, eval/F1: 0.8138, lr: 0.0218, train/prefecth_time: 0.0066 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 04:04:58,243 INFO] 144640 iteration USE_EMA: True, train/sup_loss: 0.1155, train/aux_loss: 0.1519, train/total_loss: 0.2674, train/util_ratio: 0.8058, train/run_time: 0.1770, lr: 0.0218, train/prefecth_time: 0.0046 
[2025-04-20 04:05:55,265 INFO] 144896 iteration USE_EMA: True, train/sup_loss: 0.4554, train/aux_loss: 0.6498, train/total_loss: 1.1052, train/util_ratio: 0.5558, train/run_time: 0.3727, lr: 0.0218, train/prefecth_time: 0.0069 
[2025-04-20 04:06:51,768 INFO] 145152 iteration USE_EMA: True, train/sup_loss: 0.2961, train/aux_loss: 0.4696, train/total_loss: 0.7657, train/util_ratio: 0.6138, train/run_time: 0.1713, lr: 0.0217, train/prefecth_time: 0.0076 
[2025-04-20 04:07:48,223 INFO] validating...
[2025-04-20 04:07:50,963 INFO] confusion matrix:
[[0.866 0.006 0.034 0.004 0.013 0.004 0.006 0.003 0.044 0.02 ]
 [0.005 0.936 0.004 0.001 0.    0.001 0.004 0.    0.011 0.038]
 [0.06  0.    0.684 0.024 0.076 0.057 0.085 0.006 0.003 0.005]
 [0.023 0.005 0.079 0.501 0.058 0.202 0.1   0.015 0.006 0.011]
 [0.015 0.    0.048 0.015 0.831 0.02  0.032 0.038 0.001 0.   ]
 [0.005 0.    0.045 0.081 0.033 0.767 0.02  0.048 0.    0.001]
 [0.004 0.    0.011 0.031 0.005 0.    0.945 0.001 0.001 0.002]
 [0.01  0.002 0.036 0.03  0.044 0.05  0.009 0.816 0.003 0.   ]
 [0.018 0.008 0.009 0.002 0.003 0.001 0.    0.    0.857 0.102]
 [0.008 0.025 0.004 0.005 0.001 0.003 0.002 0.002 0.008 0.942]]
[2025-04-20 04:07:51,348 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 04:07:51,349 INFO] 145408 iteration, USE_EMA: True, train/sup_loss: 0.2942, train/aux_loss: 0.3008, train/total_loss: 0.5951, train/util_ratio: 0.7902, train/run_time: 0.1542, eval/loss: 0.7209, eval/top-1-acc: 0.8145, eval/top-5-acc: 0.9846, eval/balanced_acc: 0.8145, eval/precision: 0.8143, eval/recall: 0.8145, eval/F1: 0.8109, lr: 0.0217, train/prefecth_time: 0.0053 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 04:08:50,430 INFO] 145664 iteration USE_EMA: True, train/sup_loss: 0.1879, train/aux_loss: 0.2622, train/total_loss: 0.4501, train/util_ratio: 0.7545, train/run_time: 0.1591, lr: 0.0217, train/prefecth_time: 0.0080 
[2025-04-20 04:09:46,754 INFO] 145920 iteration USE_EMA: True, train/sup_loss: 0.1278, train/aux_loss: 0.1737, train/total_loss: 0.3015, train/util_ratio: 0.8036, train/run_time: 0.1639, lr: 0.0216, train/prefecth_time: 0.0107 
[2025-04-20 04:10:42,275 INFO] 146176 iteration USE_EMA: True, train/sup_loss: 0.1090, train/aux_loss: 0.1557, train/total_loss: 0.2647, train/util_ratio: 0.7879, train/run_time: 0.2015, lr: 0.0216, train/prefecth_time: 0.0496 
[2025-04-20 04:11:38,144 INFO] validating...
[2025-04-20 04:11:40,734 INFO] confusion matrix:
[[0.883 0.005 0.029 0.003 0.007 0.005 0.007 0.003 0.042 0.016]
 [0.006 0.932 0.003 0.001 0.    0.001 0.003 0.    0.006 0.048]
 [0.06  0.    0.68  0.026 0.057 0.069 0.086 0.012 0.007 0.003]
 [0.02  0.002 0.07  0.507 0.049 0.218 0.092 0.021 0.009 0.012]
 [0.016 0.002 0.046 0.015 0.816 0.026 0.035 0.043 0.001 0.   ]
 [0.007 0.001 0.033 0.072 0.031 0.787 0.018 0.049 0.001 0.001]
 [0.006 0.001 0.01  0.032 0.005 0.002 0.941 0.001 0.001 0.001]
 [0.01  0.002 0.029 0.027 0.037 0.06  0.009 0.822 0.003 0.001]
 [0.018 0.008 0.006 0.001 0.002 0.    0.001 0.    0.862 0.102]
 [0.01  0.025 0.002 0.005 0.001 0.003 0.003 0.001 0.007 0.943]]
[2025-04-20 04:11:41,092 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 04:11:41,094 INFO] 146432 iteration, USE_EMA: True, train/sup_loss: 0.1563, train/aux_loss: 0.1582, train/total_loss: 0.3145, train/util_ratio: 0.8281, train/run_time: 0.2165, eval/loss: 0.7572, eval/top-1-acc: 0.8173, eval/top-5-acc: 0.9835, eval/balanced_acc: 0.8173, eval/precision: 0.8180, eval/recall: 0.8173, eval/F1: 0.8137, lr: 0.0216, train/prefecth_time: 0.0064 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 04:12:38,498 INFO] 146688 iteration USE_EMA: True, train/sup_loss: 0.1277, train/aux_loss: 0.1751, train/total_loss: 0.3028, train/util_ratio: 0.7857, train/run_time: 0.1669, lr: 0.0216, train/prefecth_time: 0.0221 
[2025-04-20 04:13:33,768 INFO] 146944 iteration USE_EMA: True, train/sup_loss: 0.1328, train/aux_loss: 0.1836, train/total_loss: 0.3164, train/util_ratio: 0.7768, train/run_time: 0.1688, lr: 0.0215, train/prefecth_time: 0.0053 
[2025-04-20 04:14:28,293 INFO] 147200 iteration USE_EMA: True, train/sup_loss: 0.1359, train/aux_loss: 0.2468, train/total_loss: 0.3827, train/util_ratio: 0.7388, train/run_time: 0.1598, lr: 0.0215, train/prefecth_time: 0.0203 
[2025-04-20 04:15:23,738 INFO] validating...
[2025-04-20 04:15:26,508 INFO] confusion matrix:
[[0.881 0.005 0.028 0.005 0.007 0.006 0.008 0.005 0.038 0.017]
 [0.006 0.934 0.003 0.    0.    0.001 0.003 0.    0.006 0.047]
 [0.06  0.    0.682 0.027 0.06  0.066 0.082 0.013 0.005 0.005]
 [0.023 0.004 0.062 0.542 0.045 0.198 0.088 0.019 0.007 0.012]
 [0.016 0.001 0.045 0.017 0.827 0.025 0.032 0.036 0.001 0.   ]
 [0.007 0.002 0.034 0.09  0.027 0.771 0.017 0.05  0.001 0.001]
 [0.004 0.001 0.011 0.035 0.005 0.002 0.939 0.001 0.001 0.001]
 [0.011 0.001 0.027 0.025 0.041 0.06  0.008 0.823 0.004 0.   ]
 [0.017 0.008 0.005 0.002 0.002 0.    0.001 0.    0.855 0.11 ]
 [0.011 0.027 0.002 0.007 0.001 0.001 0.003 0.001 0.006 0.941]]
[2025-04-20 04:15:27,024 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 04:15:27,025 INFO] 147456 iteration, USE_EMA: True, train/sup_loss: 0.2082, train/aux_loss: 0.4875, train/total_loss: 0.6957, train/util_ratio: 0.6228, train/run_time: 0.1568, eval/loss: 0.7592, eval/top-1-acc: 0.8195, eval/top-5-acc: 0.9836, eval/balanced_acc: 0.8195, eval/precision: 0.8197, eval/recall: 0.8195, eval/F1: 0.8167, lr: 0.0215, train/prefecth_time: 0.0057 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 04:16:23,840 INFO] 147712 iteration USE_EMA: True, train/sup_loss: 0.1689, train/aux_loss: 0.3337, train/total_loss: 0.5026, train/util_ratio: 0.7232, train/run_time: 0.1945, lr: 0.0214, train/prefecth_time: 0.0199 
[2025-04-20 04:17:19,624 INFO] 147968 iteration USE_EMA: True, train/sup_loss: 0.1894, train/aux_loss: 0.3728, train/total_loss: 0.5621, train/util_ratio: 0.7232, train/run_time: 0.1699, lr: 0.0214, train/prefecth_time: 0.0063 
[2025-04-20 04:18:14,671 INFO] 148224 iteration USE_EMA: True, train/sup_loss: 0.2364, train/aux_loss: 0.2947, train/total_loss: 0.5311, train/util_ratio: 0.7366, train/run_time: 0.1616, lr: 0.0214, train/prefecth_time: 0.0869 
[2025-04-20 04:19:10,102 INFO] validating...
[2025-04-20 04:19:12,376 INFO] confusion matrix:
[[0.882 0.001 0.03  0.005 0.008 0.007 0.003 0.006 0.04  0.018]
 [0.006 0.935 0.003 0.    0.    0.001 0.003 0.001 0.007 0.044]
 [0.063 0.    0.699 0.03  0.06  0.06  0.073 0.009 0.003 0.003]
 [0.022 0.005 0.08  0.538 0.044 0.2   0.078 0.016 0.006 0.011]
 [0.012 0.    0.055 0.018 0.827 0.025 0.028 0.034 0.001 0.   ]
 [0.008 0.002 0.044 0.084 0.026 0.776 0.014 0.044 0.001 0.001]
 [0.005 0.    0.014 0.039 0.005 0.002 0.932 0.001 0.001 0.001]
 [0.01  0.002 0.039 0.027 0.039 0.055 0.008 0.816 0.003 0.001]
 [0.018 0.009 0.005 0.003 0.002 0.    0.001 0.    0.857 0.105]
 [0.011 0.027 0.003 0.005 0.001 0.003 0.001 0.001 0.009 0.939]]
[2025-04-20 04:19:12,927 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 04:19:12,928 INFO] 148480 iteration, USE_EMA: True, train/sup_loss: 0.1869, train/aux_loss: 0.1509, train/total_loss: 0.3378, train/util_ratio: 0.7835, train/run_time: 0.1674, eval/loss: 0.7605, eval/top-1-acc: 0.8201, eval/top-5-acc: 0.9821, eval/balanced_acc: 0.8201, eval/precision: 0.8201, eval/recall: 0.8201, eval/F1: 0.8176, lr: 0.0214, train/prefecth_time: 0.0054 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 04:21:18,294 INFO] select_ulb_dist:
[0.000e+00 1.000e+00 1.130e+02 2.630e+02 3.460e+02 8.960e+02 4.454e+03
 5.930e+02 2.381e+03 1.975e+03]
[2025-04-20 04:21:18,297 INFO] lb_select_ulb_dist:
[ 400.  240.  256.  349.  397.  926. 4472.  604. 2387. 1979.]
[2025-04-20 04:21:18,307 INFO] 145: Update the labeled data.
[2025-04-20 04:22:41,583 INFO] 148736 iteration USE_EMA: True, train/sup_loss: 0.1477, train/aux_loss: 0.1866, train/total_loss: 0.3343, train/util_ratio: 0.7790, train/run_time: 0.1612, lr: 0.0213, train/prefecth_time: 0.0108 
[2025-04-20 04:23:37,721 INFO] 148992 iteration USE_EMA: True, train/sup_loss: 0.1618, train/aux_loss: 0.1539, train/total_loss: 0.3157, train/util_ratio: 0.8259, train/run_time: 0.1748, lr: 0.0213, train/prefecth_time: 0.0059 
[2025-04-20 04:24:33,194 INFO] 149248 iteration USE_EMA: True, train/sup_loss: 0.1155, train/aux_loss: 0.1498, train/total_loss: 0.2653, train/util_ratio: 0.7746, train/run_time: 0.1654, lr: 0.0213, train/prefecth_time: 0.0062 
[2025-04-20 04:25:29,505 INFO] validating...
[2025-04-20 04:25:31,885 INFO] confusion matrix:
[[0.879 0.002 0.024 0.005 0.004 0.005 0.004 0.005 0.051 0.021]
 [0.006 0.93  0.002 0.    0.    0.001 0.002 0.001 0.008 0.05 ]
 [0.07  0.    0.665 0.032 0.063 0.065 0.084 0.012 0.005 0.004]
 [0.024 0.004 0.061 0.527 0.049 0.216 0.082 0.017 0.007 0.013]
 [0.011 0.    0.048 0.022 0.82  0.029 0.027 0.04  0.003 0.   ]
 [0.009 0.002 0.033 0.083 0.028 0.78  0.016 0.046 0.001 0.002]
 [0.006 0.    0.007 0.039 0.006 0.002 0.937 0.001 0.001 0.001]
 [0.01  0.002 0.034 0.026 0.03  0.053 0.008 0.833 0.003 0.001]
 [0.011 0.007 0.005 0.004 0.002 0.    0.001 0.    0.866 0.104]
 [0.01  0.024 0.002 0.003 0.001 0.002 0.001 0.001 0.009 0.947]]
[2025-04-20 04:25:32,261 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 04:25:32,262 INFO] 149504 iteration, USE_EMA: True, train/sup_loss: 0.2321, train/aux_loss: 0.1554, train/total_loss: 0.3875, train/util_ratio: 0.7946, train/run_time: 0.1670, eval/loss: 0.7457, eval/top-1-acc: 0.8184, eval/top-5-acc: 0.9813, eval/balanced_acc: 0.8184, eval/precision: 0.8180, eval/recall: 0.8184, eval/F1: 0.8152, lr: 0.0212, train/prefecth_time: 0.0054 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 04:26:29,500 INFO] 149760 iteration USE_EMA: True, train/sup_loss: 0.1467, train/aux_loss: 0.0678, train/total_loss: 0.2144, train/util_ratio: 0.8661, train/run_time: 0.1546, lr: 0.0212, train/prefecth_time: 0.0587 
[2025-04-20 04:27:24,546 INFO] 150016 iteration USE_EMA: True, train/sup_loss: 0.1623, train/aux_loss: 0.1235, train/total_loss: 0.2858, train/util_ratio: 0.8259, train/run_time: 0.1695, lr: 0.0212, train/prefecth_time: 0.0067 
[2025-04-20 04:28:19,420 INFO] 150272 iteration USE_EMA: True, train/sup_loss: 0.1396, train/aux_loss: 0.2013, train/total_loss: 0.3409, train/util_ratio: 0.7455, train/run_time: 0.1652, lr: 0.0212, train/prefecth_time: 0.0068 
[2025-04-20 04:29:14,693 INFO] validating...
[2025-04-20 04:29:17,370 INFO] confusion matrix:
[[0.876 0.004 0.031 0.004 0.006 0.005 0.004 0.005 0.046 0.019]
 [0.005 0.94  0.002 0.    0.001 0.001 0.001 0.    0.008 0.042]
 [0.06  0.    0.7   0.027 0.062 0.056 0.078 0.008 0.003 0.006]
 [0.02  0.005 0.067 0.53  0.049 0.204 0.086 0.02  0.007 0.012]
 [0.012 0.    0.049 0.018 0.828 0.024 0.031 0.037 0.001 0.   ]
 [0.007 0.002 0.043 0.087 0.031 0.769 0.016 0.044 0.    0.001]
 [0.005 0.    0.009 0.038 0.005 0.002 0.937 0.001 0.001 0.002]
 [0.009 0.002 0.033 0.028 0.035 0.055 0.007 0.827 0.003 0.001]
 [0.015 0.007 0.006 0.003 0.002 0.    0.001 0.    0.861 0.105]
 [0.009 0.027 0.003 0.003 0.001 0.004 0.001 0.    0.008 0.944]]
[2025-04-20 04:29:17,813 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 04:29:17,814 INFO] 150528 iteration, USE_EMA: True, train/sup_loss: 0.2937, train/aux_loss: 0.3809, train/total_loss: 0.6747, train/util_ratio: 0.6272, train/run_time: 0.1581, eval/loss: 0.7216, eval/top-1-acc: 0.8212, eval/top-5-acc: 0.9822, eval/balanced_acc: 0.8212, eval/precision: 0.8208, eval/recall: 0.8212, eval/F1: 0.8183, lr: 0.0211, train/prefecth_time: 0.0060 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 04:30:15,626 INFO] 150784 iteration USE_EMA: True, train/sup_loss: 0.2151, train/aux_loss: 0.4183, train/total_loss: 0.6334, train/util_ratio: 0.6071, train/run_time: 0.1558, lr: 0.0211, train/prefecth_time: 0.0073 
[2025-04-20 04:31:11,862 INFO] 151040 iteration USE_EMA: True, train/sup_loss: 0.2095, train/aux_loss: 0.2706, train/total_loss: 0.4801, train/util_ratio: 0.7522, train/run_time: 0.1705, lr: 0.0211, train/prefecth_time: 0.0071 
[2025-04-20 04:32:07,632 INFO] 151296 iteration USE_EMA: True, train/sup_loss: 0.1202, train/aux_loss: 0.2141, train/total_loss: 0.3343, train/util_ratio: 0.7879, train/run_time: 0.1643, lr: 0.0210, train/prefecth_time: 0.0043 
[2025-04-20 04:33:03,708 INFO] validating...
[2025-04-20 04:33:06,612 INFO] confusion matrix:
[[0.869 0.004 0.036 0.004 0.005 0.006 0.005 0.006 0.041 0.024]
 [0.003 0.945 0.004 0.    0.    0.001 0.001 0.    0.009 0.037]
 [0.059 0.    0.693 0.025 0.066 0.062 0.078 0.007 0.004 0.006]
 [0.021 0.002 0.075 0.529 0.054 0.195 0.085 0.018 0.008 0.013]
 [0.013 0.    0.056 0.018 0.819 0.021 0.036 0.036 0.001 0.   ]
 [0.006 0.001 0.042 0.09  0.03  0.768 0.017 0.045 0.    0.001]
 [0.007 0.    0.01  0.037 0.006 0.003 0.933 0.001 0.001 0.002]
 [0.011 0.002 0.032 0.029 0.041 0.057 0.01  0.814 0.003 0.001]
 [0.015 0.007 0.008 0.003 0.001 0.    0.001 0.    0.862 0.103]
 [0.009 0.029 0.002 0.004 0.    0.002 0.001 0.001 0.008 0.944]]
[2025-04-20 04:33:07,125 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 04:33:07,126 INFO] 151552 iteration, USE_EMA: True, train/sup_loss: 0.2343, train/aux_loss: 0.1117, train/total_loss: 0.3461, train/util_ratio: 0.8438, train/run_time: 0.1621, eval/loss: 0.7467, eval/top-1-acc: 0.8176, eval/top-5-acc: 0.9824, eval/balanced_acc: 0.8176, eval/precision: 0.8173, eval/recall: 0.8176, eval/F1: 0.8147, lr: 0.0210, train/prefecth_time: 0.0065 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 04:34:06,793 INFO] 151808 iteration USE_EMA: True, train/sup_loss: 0.1454, train/aux_loss: 0.1207, train/total_loss: 0.2660, train/util_ratio: 0.8214, train/run_time: 0.1626, lr: 0.0210, train/prefecth_time: 0.0045 
[2025-04-20 04:35:04,160 INFO] 152064 iteration USE_EMA: True, train/sup_loss: 0.1614, train/aux_loss: 0.1898, train/total_loss: 0.3512, train/util_ratio: 0.8214, train/run_time: 0.1732, lr: 0.0210, train/prefecth_time: 0.0128 
[2025-04-20 04:36:01,581 INFO] 152320 iteration USE_EMA: True, train/sup_loss: 0.1098, train/aux_loss: 0.1278, train/total_loss: 0.2376, train/util_ratio: 0.8170, train/run_time: 0.1665, lr: 0.0209, train/prefecth_time: 0.0047 
[2025-04-20 04:37:00,147 INFO] validating...
[2025-04-20 04:37:02,678 INFO] confusion matrix:
[[0.877 0.004 0.026 0.004 0.009 0.009 0.006 0.004 0.041 0.02 ]
 [0.006 0.938 0.002 0.    0.    0.001 0.003 0.002 0.01  0.038]
 [0.068 0.001 0.667 0.025 0.063 0.07  0.084 0.01  0.006 0.006]
 [0.022 0.003 0.06  0.504 0.052 0.227 0.092 0.018 0.008 0.014]
 [0.015 0.001 0.046 0.014 0.817 0.022 0.041 0.041 0.002 0.001]
 [0.011 0.002 0.035 0.075 0.032 0.78  0.016 0.048 0.    0.001]
 [0.006 0.    0.008 0.034 0.005 0.004 0.94  0.001 0.001 0.001]
 [0.011 0.001 0.029 0.025 0.037 0.058 0.005 0.826 0.006 0.002]
 [0.017 0.007 0.006 0.003 0.001 0.001 0.001 0.    0.864 0.1  ]
 [0.008 0.026 0.002 0.002 0.    0.003 0.001 0.002 0.009 0.947]]
[2025-04-20 04:37:02,976 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 04:37:02,977 INFO] 152576 iteration, USE_EMA: True, train/sup_loss: 0.2349, train/aux_loss: 0.1206, train/total_loss: 0.3555, train/util_ratio: 0.8125, train/run_time: 0.1646, eval/loss: 0.7527, eval/top-1-acc: 0.8160, eval/top-5-acc: 0.9809, eval/balanced_acc: 0.8160, eval/precision: 0.8165, eval/recall: 0.8160, eval/F1: 0.8122, lr: 0.0209, train/prefecth_time: 0.0863 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 04:38:02,585 INFO] 152832 iteration USE_EMA: True, train/sup_loss: 0.1529, train/aux_loss: 0.1029, train/total_loss: 0.2559, train/util_ratio: 0.8326, train/run_time: 0.1962, lr: 0.0209, train/prefecth_time: 0.0060 
[2025-04-20 04:40:02,051 INFO] 153088 iteration USE_EMA: True, train/sup_loss: 0.1625, train/aux_loss: 0.0963, train/total_loss: 0.2588, train/util_ratio: 0.8415, train/run_time: 0.6551, lr: 0.0208, train/prefecth_time: 0.0086 
[2025-04-20 04:42:05,069 INFO] 153344 iteration USE_EMA: True, train/sup_loss: 0.1096, train/aux_loss: 0.1303, train/total_loss: 0.2399, train/util_ratio: 0.8036, train/run_time: 0.2222, lr: 0.0208, train/prefecth_time: 0.0089 
[2025-04-20 04:44:13,457 INFO] validating...
[2025-04-20 04:44:16,522 INFO] confusion matrix:
[[0.878 0.003 0.028 0.003 0.008 0.008 0.006 0.005 0.044 0.017]
 [0.006 0.938 0.002 0.    0.    0.001 0.003 0.001 0.011 0.038]
 [0.075 0.    0.659 0.023 0.063 0.071 0.084 0.013 0.006 0.006]
 [0.028 0.003 0.055 0.498 0.046 0.234 0.095 0.017 0.008 0.016]
 [0.015 0.002 0.048 0.016 0.813 0.024 0.036 0.042 0.003 0.001]
 [0.011 0.002 0.032 0.077 0.031 0.785 0.014 0.045 0.002 0.001]
 [0.005 0.    0.007 0.033 0.005 0.004 0.943 0.001 0.001 0.001]
 [0.011 0.001 0.026 0.023 0.036 0.061 0.005 0.829 0.006 0.002]
 [0.014 0.007 0.007 0.003 0.001 0.001 0.001 0.    0.867 0.099]
 [0.011 0.025 0.002 0.002 0.    0.004 0.001 0.001 0.009 0.945]]
[2025-04-20 04:44:16,994 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 04:44:16,995 INFO] 153600 iteration, USE_EMA: True, train/sup_loss: 0.2390, train/aux_loss: 0.1295, train/total_loss: 0.3685, train/util_ratio: 0.7857, train/run_time: 0.5538, eval/loss: 0.7382, eval/top-1-acc: 0.8155, eval/top-5-acc: 0.9793, eval/balanced_acc: 0.8155, eval/precision: 0.8161, eval/recall: 0.8155, eval/F1: 0.8115, lr: 0.0208, train/prefecth_time: 0.0089 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 04:46:36,173 INFO] select_ulb_dist:
[2.000e+00 5.600e+01 1.150e+02 2.630e+02 3.470e+02 8.960e+02 4.454e+03
 5.930e+02 2.381e+03 1.975e+03]
[2025-04-20 04:46:36,207 INFO] lb_select_ulb_dist:
[ 402.  295.  258.  349.  398.  926. 4472.  604. 2387. 1979.]
[2025-04-20 04:46:36,219 INFO] 150: Update the labeled data.
[2025-04-20 04:48:03,103 INFO] 153856 iteration USE_EMA: True, train/sup_loss: 0.1410, train/aux_loss: 0.1287, train/total_loss: 0.2697, train/util_ratio: 0.8237, train/run_time: 0.3031, lr: 0.0208, train/prefecth_time: 0.0344 
[2025-04-20 04:49:48,627 INFO] 154112 iteration USE_EMA: True, train/sup_loss: 0.4924, train/aux_loss: 0.8412, train/total_loss: 1.3336, train/util_ratio: 0.4821, train/run_time: 0.2792, lr: 0.0207, train/prefecth_time: 0.0044 
[2025-04-20 04:51:23,823 INFO] 154368 iteration USE_EMA: True, train/sup_loss: 0.3198, train/aux_loss: 0.4926, train/total_loss: 0.8124, train/util_ratio: 0.5759, train/run_time: 0.2667, lr: 0.0207, train/prefecth_time: 0.0071 
[2025-04-20 04:53:09,123 INFO] validating...
[2025-04-20 04:53:11,966 INFO] confusion matrix:
[[0.861 0.003 0.041 0.004 0.011 0.006 0.009 0.003 0.04  0.022]
 [0.004 0.938 0.002 0.    0.    0.002 0.006 0.    0.006 0.042]
 [0.052 0.001 0.69  0.024 0.062 0.064 0.087 0.01  0.004 0.006]
 [0.022 0.003 0.073 0.5   0.054 0.19  0.117 0.022 0.006 0.013]
 [0.009 0.    0.055 0.018 0.825 0.017 0.038 0.036 0.001 0.001]
 [0.005 0.002 0.039 0.081 0.031 0.766 0.024 0.05  0.001 0.001]
 [0.004 0.    0.011 0.031 0.005 0.003 0.943 0.001 0.001 0.001]
 [0.009 0.002 0.034 0.031 0.043 0.051 0.008 0.816 0.004 0.002]
 [0.019 0.006 0.008 0.004 0.002 0.    0.002 0.    0.85  0.109]
 [0.011 0.028 0.003 0.004 0.001 0.002 0.003 0.001 0.009 0.938]]
[2025-04-20 04:53:12,477 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 04:53:12,479 INFO] 154624 iteration, USE_EMA: True, train/sup_loss: 0.5606, train/aux_loss: 0.6583, train/total_loss: 1.2188, train/util_ratio: 0.6719, train/run_time: 0.6265, eval/loss: 0.7429, eval/top-1-acc: 0.8127, eval/top-5-acc: 0.9838, eval/balanced_acc: 0.8127, eval/precision: 0.8131, eval/recall: 0.8127, eval/F1: 0.8092, lr: 0.0207, train/prefecth_time: 0.0071 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 04:55:00,960 INFO] 154880 iteration USE_EMA: True, train/sup_loss: 0.1787, train/aux_loss: 0.2459, train/total_loss: 0.4247, train/util_ratio: 0.7388, train/run_time: 0.2326, lr: 0.0206, train/prefecth_time: 0.0092 
[2025-04-20 04:56:37,212 INFO] 155136 iteration USE_EMA: True, train/sup_loss: 0.1224, train/aux_loss: 0.2294, train/total_loss: 0.3518, train/util_ratio: 0.7388, train/run_time: 0.5588, lr: 0.0206, train/prefecth_time: 0.0092 
[2025-04-20 04:58:33,871 INFO] 155392 iteration USE_EMA: True, train/sup_loss: 0.1754, train/aux_loss: 0.2364, train/total_loss: 0.4118, train/util_ratio: 0.7857, train/run_time: 0.5058, lr: 0.0206, train/prefecth_time: 0.0043 
[2025-04-20 05:00:09,412 INFO] validating...
[2025-04-20 05:00:12,234 INFO] confusion matrix:
[[0.883 0.002 0.034 0.004 0.005 0.005 0.006 0.005 0.039 0.017]
 [0.007 0.931 0.002 0.001 0.    0.002 0.004 0.001 0.009 0.043]
 [0.062 0.001 0.698 0.022 0.053 0.065 0.077 0.012 0.005 0.005]
 [0.028 0.003 0.075 0.509 0.047 0.209 0.089 0.02  0.004 0.016]
 [0.012 0.    0.055 0.015 0.817 0.024 0.034 0.041 0.001 0.001]
 [0.007 0.002 0.038 0.083 0.026 0.772 0.02  0.051 0.    0.001]
 [0.005 0.    0.013 0.036 0.006 0.002 0.935 0.001 0.001 0.001]
 [0.009 0.002 0.036 0.024 0.041 0.048 0.009 0.824 0.003 0.004]
 [0.02  0.009 0.008 0.002 0.001 0.001 0.002 0.    0.851 0.106]
 [0.011 0.025 0.002 0.004 0.001 0.001 0.002 0.001 0.01  0.943]]
[2025-04-20 05:00:12,611 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 05:00:12,613 INFO] 155648 iteration, USE_EMA: True, train/sup_loss: 0.1169, train/aux_loss: 0.1146, train/total_loss: 0.2316, train/util_ratio: 0.8013, train/run_time: 0.2293, eval/loss: 0.7650, eval/top-1-acc: 0.8163, eval/top-5-acc: 0.9812, eval/balanced_acc: 0.8163, eval/precision: 0.8164, eval/recall: 0.8163, eval/F1: 0.8130, lr: 0.0206, train/prefecth_time: 0.0039 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 05:01:48,507 INFO] 155904 iteration USE_EMA: True, train/sup_loss: 0.1342, train/aux_loss: 0.1454, train/total_loss: 0.2796, train/util_ratio: 0.8348, train/run_time: 0.1659, lr: 0.0205, train/prefecth_time: 0.0100 
[2025-04-20 05:02:48,588 INFO] 156160 iteration USE_EMA: True, train/sup_loss: 0.1205, train/aux_loss: 0.1543, train/total_loss: 0.2748, train/util_ratio: 0.8304, train/run_time: 0.1577, lr: 0.0205, train/prefecth_time: 0.0853 
[2025-04-20 05:03:48,898 INFO] 156416 iteration USE_EMA: True, train/sup_loss: 0.1775, train/aux_loss: 0.1332, train/total_loss: 0.3107, train/util_ratio: 0.7969, train/run_time: 0.1572, lr: 0.0205, train/prefecth_time: 0.0098 
[2025-04-20 05:04:47,641 INFO] validating...
[2025-04-20 05:04:50,243 INFO] confusion matrix:
[[0.888 0.002 0.028 0.005 0.007 0.004 0.006 0.005 0.038 0.017]
 [0.007 0.93  0.001 0.    0.    0.001 0.004 0.001 0.009 0.047]
 [0.072 0.002 0.68  0.021 0.05  0.068 0.083 0.014 0.004 0.006]
 [0.031 0.003 0.061 0.512 0.048 0.22  0.085 0.019 0.006 0.015]
 [0.014 0.    0.057 0.015 0.803 0.028 0.033 0.047 0.002 0.001]
 [0.01  0.001 0.035 0.082 0.026 0.774 0.016 0.052 0.002 0.002]
 [0.006 0.    0.007 0.037 0.008 0.002 0.936 0.002 0.001 0.001]
 [0.01  0.002 0.032 0.026 0.039 0.059 0.006 0.819 0.003 0.004]
 [0.017 0.007 0.009 0.003 0.001 0.    0.002 0.    0.86  0.101]
 [0.01  0.022 0.003 0.002 0.001 0.001 0.002 0.001 0.009 0.949]]
[2025-04-20 05:04:50,780 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 05:04:50,781 INFO] 156672 iteration, USE_EMA: True, train/sup_loss: 0.1181, train/aux_loss: 0.1051, train/total_loss: 0.2232, train/util_ratio: 0.8147, train/run_time: 0.1743, eval/loss: 0.7655, eval/top-1-acc: 0.8151, eval/top-5-acc: 0.9794, eval/balanced_acc: 0.8151, eval/precision: 0.8155, eval/recall: 0.8151, eval/F1: 0.8117, lr: 0.0204, train/prefecth_time: 0.0057 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 05:05:52,018 INFO] 156928 iteration USE_EMA: True, train/sup_loss: 0.1358, train/aux_loss: 0.1589, train/total_loss: 0.2947, train/util_ratio: 0.8214, train/run_time: 0.1638, lr: 0.0204, train/prefecth_time: 0.0115 
[2025-04-20 05:06:50,844 INFO] 157184 iteration USE_EMA: True, train/sup_loss: 0.1120, train/aux_loss: 0.1587, train/total_loss: 0.2708, train/util_ratio: 0.8058, train/run_time: 0.2012, lr: 0.0204, train/prefecth_time: 0.0068 
[2025-04-20 05:07:49,478 INFO] 157440 iteration USE_EMA: True, train/sup_loss: 0.1754, train/aux_loss: 0.1205, train/total_loss: 0.2959, train/util_ratio: 0.7991, train/run_time: 0.1606, lr: 0.0203, train/prefecth_time: 0.0102 
[2025-04-20 05:08:47,829 INFO] validating...
[2025-04-20 05:08:50,575 INFO] confusion matrix:
[[0.888 0.003 0.025 0.003 0.006 0.003 0.008 0.005 0.043 0.016]
 [0.005 0.94  0.002 0.    0.    0.001 0.002 0.001 0.006 0.043]
 [0.068 0.002 0.672 0.023 0.058 0.065 0.084 0.016 0.005 0.007]
 [0.029 0.004 0.056 0.532 0.046 0.204 0.085 0.023 0.007 0.014]
 [0.015 0.    0.048 0.018 0.818 0.024 0.033 0.041 0.002 0.001]
 [0.011 0.002 0.033 0.082 0.024 0.776 0.018 0.051 0.001 0.002]
 [0.005 0.    0.007 0.035 0.005 0.003 0.941 0.002 0.001 0.001]
 [0.01  0.002 0.033 0.027 0.036 0.053 0.008 0.825 0.003 0.003]
 [0.019 0.009 0.009 0.003 0.001 0.    0.002 0.    0.853 0.104]
 [0.009 0.022 0.003 0.005 0.001 0.001 0.002 0.    0.008 0.949]]
[2025-04-20 05:08:51,111 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 05:08:51,112 INFO] 157696 iteration, USE_EMA: True, train/sup_loss: 0.5089, train/aux_loss: 0.6433, train/total_loss: 1.1522, train/util_ratio: 0.5759, train/run_time: 0.2106, eval/loss: 0.7412, eval/top-1-acc: 0.8194, eval/top-5-acc: 0.9798, eval/balanced_acc: 0.8194, eval/precision: 0.8192, eval/recall: 0.8194, eval/F1: 0.8160, lr: 0.0203, train/prefecth_time: 0.0601 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 05:09:51,748 INFO] 157952 iteration USE_EMA: True, train/sup_loss: 0.3062, train/aux_loss: 0.4009, train/total_loss: 0.7071, train/util_ratio: 0.7054, train/run_time: 0.1768, lr: 0.0203, train/prefecth_time: 0.0223 
[2025-04-20 05:10:51,099 INFO] 158208 iteration USE_EMA: True, train/sup_loss: 0.1666, train/aux_loss: 0.2552, train/total_loss: 0.4218, train/util_ratio: 0.7612, train/run_time: 0.1479, lr: 0.0203, train/prefecth_time: 0.0702 
[2025-04-20 05:11:49,694 INFO] 158464 iteration USE_EMA: True, train/sup_loss: 0.2042, train/aux_loss: 0.2712, train/total_loss: 0.4754, train/util_ratio: 0.7634, train/run_time: 0.2060, lr: 0.0202, train/prefecth_time: 0.0102 
[2025-04-20 05:12:48,717 INFO] validating...
[2025-04-20 05:12:51,436 INFO] confusion matrix:
[[0.878 0.003 0.029 0.004 0.008 0.003 0.007 0.006 0.042 0.02 ]
 [0.004 0.936 0.002 0.    0.    0.001 0.005 0.001 0.004 0.047]
 [0.064 0.002 0.69  0.024 0.065 0.064 0.073 0.008 0.004 0.006]
 [0.024 0.003 0.06  0.543 0.049 0.192 0.088 0.019 0.008 0.014]
 [0.012 0.    0.042 0.021 0.837 0.018 0.031 0.036 0.002 0.001]
 [0.01  0.001 0.039 0.083 0.027 0.771 0.019 0.047 0.001 0.002]
 [0.004 0.    0.01  0.038 0.007 0.002 0.935 0.002 0.001 0.001]
 [0.008 0.002 0.034 0.031 0.039 0.047 0.009 0.824 0.004 0.002]
 [0.022 0.006 0.005 0.005 0.002 0.001 0.001 0.    0.854 0.104]
 [0.009 0.024 0.003 0.002 0.001 0.001 0.002 0.    0.007 0.951]]
[2025-04-20 05:12:51,852 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 05:12:51,853 INFO] 158720 iteration, USE_EMA: True, train/sup_loss: 0.1213, train/aux_loss: 0.1515, train/total_loss: 0.2728, train/util_ratio: 0.8281, train/run_time: 0.1809, eval/loss: 0.7412, eval/top-1-acc: 0.8219, eval/top-5-acc: 0.9823, eval/balanced_acc: 0.8219, eval/precision: 0.8217, eval/recall: 0.8219, eval/F1: 0.8190, lr: 0.0202, train/prefecth_time: 0.0675 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 05:15:03,324 INFO] select_ulb_dist:
[   0.    8.  115.  263.  347.  896. 4454.  593. 2381. 1975.]
[2025-04-20 05:15:03,354 INFO] lb_select_ulb_dist:
[ 400.  247.  258.  349.  398.  926. 4472.  604. 2387. 1979.]
[2025-04-20 05:15:03,362 INFO] 155: Update the labeled data.
[2025-04-20 05:16:31,103 INFO] 158976 iteration USE_EMA: True, train/sup_loss: 0.1785, train/aux_loss: 0.1455, train/total_loss: 0.3241, train/util_ratio: 0.8103, train/run_time: 0.1534, lr: 0.0202, train/prefecth_time: 0.0072 
[2025-04-20 05:17:29,408 INFO] 159232 iteration USE_EMA: True, train/sup_loss: 0.1982, train/aux_loss: 0.1491, train/total_loss: 0.3474, train/util_ratio: 0.8259, train/run_time: 0.1927, lr: 0.0201, train/prefecth_time: 0.0138 
[2025-04-20 05:18:26,631 INFO] 159488 iteration USE_EMA: True, train/sup_loss: 0.1125, train/aux_loss: 0.1739, train/total_loss: 0.2864, train/util_ratio: 0.7991, train/run_time: 0.1641, lr: 0.0201, train/prefecth_time: 0.0636 
[2025-04-20 05:19:24,001 INFO] validating...
[2025-04-20 05:19:26,668 INFO] confusion matrix:
[[0.882 0.004 0.022 0.005 0.007 0.005 0.006 0.005 0.044 0.02 ]
 [0.004 0.942 0.002 0.    0.    0.001 0.004 0.001 0.004 0.042]
 [0.074 0.003 0.676 0.022 0.06  0.072 0.07  0.012 0.006 0.005]
 [0.026 0.003 0.056 0.528 0.05  0.208 0.085 0.02  0.008 0.016]
 [0.012 0.001 0.041 0.019 0.83  0.022 0.033 0.038 0.003 0.001]
 [0.011 0.003 0.035 0.083 0.028 0.771 0.014 0.052 0.001 0.002]
 [0.004 0.    0.007 0.035 0.007 0.002 0.94  0.002 0.001 0.002]
 [0.008 0.002 0.031 0.026 0.038 0.047 0.005 0.838 0.004 0.001]
 [0.021 0.01  0.004 0.004 0.001 0.001 0.002 0.    0.855 0.102]
 [0.01  0.023 0.003 0.003 0.    0.001 0.002 0.    0.007 0.951]]
[2025-04-20 05:19:27,044 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 05:19:27,045 INFO] 159744 iteration, USE_EMA: True, train/sup_loss: 0.1281, train/aux_loss: 0.2321, train/total_loss: 0.3602, train/util_ratio: 0.7612, train/run_time: 0.1443, eval/loss: 0.7452, eval/top-1-acc: 0.8213, eval/top-5-acc: 0.9813, eval/balanced_acc: 0.8213, eval/precision: 0.8208, eval/recall: 0.8213, eval/F1: 0.8178, lr: 0.0201, train/prefecth_time: 0.0053 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 05:20:25,322 INFO] 160000 iteration USE_EMA: True, train/sup_loss: 0.1710, train/aux_loss: 0.1346, train/total_loss: 0.3056, train/util_ratio: 0.7946, train/run_time: 0.1518, lr: 0.0200, train/prefecth_time: 0.0076 
[2025-04-20 05:21:21,017 INFO] 160256 iteration USE_EMA: True, train/sup_loss: 0.2024, train/aux_loss: 0.1342, train/total_loss: 0.3366, train/util_ratio: 0.7969, train/run_time: 0.1698, lr: 0.0200, train/prefecth_time: 0.0069 
[2025-04-20 05:22:17,590 INFO] 160512 iteration USE_EMA: True, train/sup_loss: 0.1086, train/aux_loss: 0.1467, train/total_loss: 0.2553, train/util_ratio: 0.8125, train/run_time: 0.2258, lr: 0.0200, train/prefecth_time: 0.0047 
[2025-04-20 05:23:13,988 INFO] validating...
[2025-04-20 05:23:16,468 INFO] confusion matrix:
[[0.886 0.003 0.023 0.004 0.007 0.007 0.004 0.004 0.042 0.02 ]
 [0.005 0.944 0.001 0.    0.    0.001 0.001 0.001 0.006 0.041]
 [0.071 0.002 0.67  0.025 0.056 0.074 0.077 0.013 0.006 0.006]
 [0.027 0.004 0.052 0.531 0.047 0.212 0.083 0.019 0.009 0.016]
 [0.015 0.001 0.042 0.021 0.823 0.025 0.035 0.036 0.002 0.   ]
 [0.011 0.002 0.032 0.081 0.027 0.773 0.015 0.054 0.003 0.002]
 [0.006 0.    0.008 0.038 0.005 0.002 0.937 0.001 0.001 0.002]
 [0.01  0.001 0.029 0.034 0.034 0.052 0.004 0.83  0.005 0.001]
 [0.024 0.012 0.006 0.002 0.001 0.001 0.001 0.    0.853 0.1  ]
 [0.011 0.023 0.002 0.003 0.    0.001 0.002 0.    0.008 0.95 ]]
[2025-04-20 05:23:16,918 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 05:23:16,920 INFO] 160768 iteration, USE_EMA: True, train/sup_loss: 0.1257, train/aux_loss: 0.1322, train/total_loss: 0.2579, train/util_ratio: 0.8170, train/run_time: 0.1556, eval/loss: 0.7433, eval/top-1-acc: 0.8197, eval/top-5-acc: 0.9804, eval/balanced_acc: 0.8197, eval/precision: 0.8194, eval/recall: 0.8197, eval/F1: 0.8164, lr: 0.0200, train/prefecth_time: 0.0056 BEST_EVAL_ACC: 0.8224, at 93184 iters
[2025-04-20 05:24:16,939 INFO] 161024 iteration USE_EMA: True, train/sup_loss: 0.1677, train/aux_loss: 0.1395, train/total_loss: 0.3072, train/util_ratio: 0.8192, train/run_time: 0.1666, lr: 0.0199, train/prefecth_time: 0.0571 
[2025-04-20 05:25:14,282 INFO] 161280 iteration USE_EMA: True, train/sup_loss: 0.3563, train/aux_loss: 0.6434, train/total_loss: 0.9997, train/util_ratio: 0.5982, train/run_time: 0.1995, lr: 0.0199, train/prefecth_time: 0.0155 
[2025-04-20 05:26:10,917 INFO] 161536 iteration USE_EMA: True, train/sup_loss: 0.3114, train/aux_loss: 0.4544, train/total_loss: 0.7658, train/util_ratio: 0.6607, train/run_time: 0.1697, lr: 0.0199, train/prefecth_time: 0.0425 
[2025-04-20 05:27:08,349 INFO] validating...
[2025-04-20 05:27:10,904 INFO] confusion matrix:
[[0.876 0.003 0.031 0.004 0.008 0.005 0.006 0.004 0.038 0.025]
 [0.004 0.949 0.001 0.001 0.    0.001 0.004 0.    0.005 0.035]
 [0.06  0.001 0.697 0.024 0.058 0.064 0.079 0.008 0.005 0.004]
 [0.017 0.004 0.062 0.556 0.052 0.181 0.089 0.02  0.008 0.011]
 [0.015 0.    0.042 0.02  0.834 0.017 0.038 0.032 0.002 0.   ]
 [0.006 0.001 0.042 0.089 0.027 0.77  0.016 0.048 0.    0.001]
 [0.005 0.    0.011 0.034 0.008 0.001 0.938 0.001 0.001 0.001]
 [0.009 0.001 0.032 0.032 0.048 0.051 0.008 0.814 0.003 0.002]
 [0.021 0.008 0.004 0.003 0.001 0.001 0.001 0.    0.856 0.105]
 [0.01  0.032 0.003 0.003 0.    0.001 0.003 0.001 0.007 0.94 ]]
[2025-04-20 05:27:11,239 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 05:27:11,627 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-20 05:27:11,628 INFO] 161792 iteration, USE_EMA: True, train/sup_loss: 0.1558, train/aux_loss: 0.2565, train/total_loss: 0.4123, train/util_ratio: 0.7478, train/run_time: 0.2304, eval/loss: 0.7229, eval/top-1-acc: 0.8230, eval/top-5-acc: 0.9825, eval/balanced_acc: 0.8230, eval/precision: 0.8228, eval/recall: 0.8230, eval/F1: 0.8203, lr: 0.0198, train/prefecth_time: 0.0142 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 05:28:10,684 INFO] 162048 iteration USE_EMA: True, train/sup_loss: 0.1754, train/aux_loss: 0.1715, train/total_loss: 0.3468, train/util_ratio: 0.8147, train/run_time: 0.1569, lr: 0.0198, train/prefecth_time: 0.0064 
[2025-04-20 05:29:07,135 INFO] 162304 iteration USE_EMA: True, train/sup_loss: 0.2023, train/aux_loss: 0.1459, train/total_loss: 0.3482, train/util_ratio: 0.8259, train/run_time: 0.2277, lr: 0.0198, train/prefecth_time: 0.0091 
[2025-04-20 05:30:03,574 INFO] 162560 iteration USE_EMA: True, train/sup_loss: 0.1176, train/aux_loss: 0.1322, train/total_loss: 0.2498, train/util_ratio: 0.8460, train/run_time: 0.1652, lr: 0.0197, train/prefecth_time: 0.0051 
[2025-04-20 05:31:00,032 INFO] validating...
[2025-04-20 05:31:02,574 INFO] confusion matrix:
[[0.882 0.002 0.021 0.004 0.006 0.006 0.007 0.005 0.044 0.023]
 [0.006 0.935 0.001 0.    0.    0.001 0.002 0.001 0.011 0.043]
 [0.063 0.003 0.672 0.028 0.059 0.069 0.084 0.013 0.004 0.005]
 [0.02  0.005 0.059 0.532 0.043 0.207 0.089 0.023 0.006 0.016]
 [0.019 0.    0.041 0.016 0.816 0.022 0.038 0.045 0.003 0.   ]
 [0.011 0.002 0.035 0.079 0.026 0.778 0.014 0.053 0.001 0.001]
 [0.006 0.    0.008 0.042 0.007 0.    0.934 0.001 0.001 0.001]
 [0.009 0.001 0.032 0.029 0.039 0.046 0.007 0.832 0.003 0.002]
 [0.02  0.007 0.004 0.002 0.001 0.    0.003 0.    0.858 0.105]
 [0.011 0.031 0.003 0.001 0.    0.001 0.003 0.    0.008 0.942]]
[2025-04-20 05:31:02,956 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 05:31:02,958 INFO] 162816 iteration, USE_EMA: True, train/sup_loss: 0.1278, train/aux_loss: 0.1680, train/total_loss: 0.2958, train/util_ratio: 0.8125, train/run_time: 0.2039, eval/loss: 0.7484, eval/top-1-acc: 0.8181, eval/top-5-acc: 0.9808, eval/balanced_acc: 0.8181, eval/precision: 0.8178, eval/recall: 0.8181, eval/F1: 0.8148, lr: 0.0197, train/prefecth_time: 0.0082 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 05:32:01,474 INFO] 163072 iteration USE_EMA: True, train/sup_loss: 0.1776, train/aux_loss: 0.1175, train/total_loss: 0.2952, train/util_ratio: 0.8304, train/run_time: 0.1590, lr: 0.0197, train/prefecth_time: 0.0073 
[2025-04-20 05:32:57,964 INFO] 163328 iteration USE_EMA: True, train/sup_loss: 0.1956, train/aux_loss: 0.1285, train/total_loss: 0.3241, train/util_ratio: 0.7813, train/run_time: 0.1947, lr: 0.0197, train/prefecth_time: 0.0209 
[2025-04-20 05:33:54,646 INFO] 163584 iteration USE_EMA: True, train/sup_loss: 0.1206, train/aux_loss: 0.2070, train/total_loss: 0.3276, train/util_ratio: 0.7567, train/run_time: 0.1587, lr: 0.0196, train/prefecth_time: 0.0065 
[2025-04-20 05:34:50,731 INFO] validating...
[2025-04-20 05:34:53,223 INFO] confusion matrix:
[[0.875 0.004 0.027 0.004 0.008 0.005 0.005 0.005 0.047 0.02 ]
 [0.005 0.934 0.001 0.    0.    0.001 0.001 0.    0.01  0.048]
 [0.067 0.003 0.67  0.028 0.061 0.073 0.076 0.012 0.004 0.006]
 [0.019 0.005 0.065 0.522 0.052 0.212 0.08  0.02  0.007 0.018]
 [0.017 0.    0.037 0.018 0.819 0.027 0.036 0.045 0.001 0.   ]
 [0.01  0.001 0.034 0.078 0.03  0.778 0.018 0.049 0.001 0.001]
 [0.006 0.    0.009 0.043 0.006 0.001 0.931 0.001 0.001 0.002]
 [0.011 0.002 0.035 0.024 0.035 0.046 0.006 0.836 0.003 0.002]
 [0.019 0.007 0.006 0.003 0.001 0.    0.001 0.    0.859 0.104]
 [0.01  0.026 0.003 0.001 0.    0.002 0.001 0.    0.009 0.948]]
[2025-04-20 05:34:53,570 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 05:34:53,571 INFO] 163840 iteration, USE_EMA: True, train/sup_loss: 0.1983, train/aux_loss: 0.3635, train/total_loss: 0.5618, train/util_ratio: 0.6808, train/run_time: 0.1486, eval/loss: 0.7459, eval/top-1-acc: 0.8172, eval/top-5-acc: 0.9803, eval/balanced_acc: 0.8172, eval/precision: 0.8168, eval/recall: 0.8172, eval/F1: 0.8138, lr: 0.0196, train/prefecth_time: 0.0637 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 05:37:09,038 INFO] select_ulb_dist:
[   0.    0.  115.  263.  347.  896. 4454.  593. 2381. 1975.]
[2025-04-20 05:37:09,039 INFO] lb_select_ulb_dist:
[ 400.  239.  258.  349.  398.  926. 4472.  604. 2387. 1979.]
[2025-04-20 05:37:09,056 INFO] 160: Update the labeled data.
[2025-04-20 05:38:36,264 INFO] 164096 iteration USE_EMA: True, train/sup_loss: 0.1977, train/aux_loss: 0.2982, train/total_loss: 0.4959, train/util_ratio: 0.6808, train/run_time: 0.1737, lr: 0.0196, train/prefecth_time: 0.0110 
[2025-04-20 05:39:34,249 INFO] 164352 iteration USE_EMA: True, train/sup_loss: 0.1328, train/aux_loss: 0.2449, train/total_loss: 0.3777, train/util_ratio: 0.7500, train/run_time: 0.1512, lr: 0.0195, train/prefecth_time: 0.0107 
[2025-04-20 05:40:30,729 INFO] 164608 iteration USE_EMA: True, train/sup_loss: 0.1562, train/aux_loss: 0.1842, train/total_loss: 0.3403, train/util_ratio: 0.7902, train/run_time: 0.1724, lr: 0.0195, train/prefecth_time: 0.0077 
[2025-04-20 05:41:27,153 INFO] validating...
[2025-04-20 05:41:29,639 INFO] confusion matrix:
[[0.881 0.004 0.036 0.005 0.005 0.002 0.008 0.004 0.03  0.025]
 [0.005 0.938 0.002 0.001 0.    0.001 0.004 0.001 0.004 0.044]
 [0.066 0.002 0.683 0.027 0.054 0.065 0.086 0.008 0.005 0.004]
 [0.023 0.004 0.061 0.523 0.044 0.207 0.099 0.016 0.006 0.017]
 [0.02  0.001 0.043 0.019 0.818 0.02  0.037 0.039 0.002 0.001]
 [0.01  0.001 0.039 0.084 0.025 0.768 0.023 0.049 0.    0.001]
 [0.005 0.    0.008 0.038 0.007 0.001 0.938 0.001 0.001 0.001]
 [0.011 0.003 0.035 0.022 0.039 0.05  0.007 0.828 0.002 0.003]
 [0.021 0.007 0.006 0.001 0.001 0.    0.002 0.    0.852 0.11 ]
 [0.011 0.026 0.002 0.001 0.    0.001 0.003 0.    0.007 0.949]]
[2025-04-20 05:41:30,199 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 05:41:30,199 INFO] 164864 iteration, USE_EMA: True, train/sup_loss: 0.1152, train/aux_loss: 0.1117, train/total_loss: 0.2270, train/util_ratio: 0.8326, train/run_time: 0.1685, eval/loss: 0.7499, eval/top-1-acc: 0.8178, eval/top-5-acc: 0.9820, eval/balanced_acc: 0.8178, eval/precision: 0.8184, eval/recall: 0.8178, eval/F1: 0.8145, lr: 0.0195, train/prefecth_time: 0.0086 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 05:42:28,243 INFO] 165120 iteration USE_EMA: True, train/sup_loss: 0.1894, train/aux_loss: 0.1178, train/total_loss: 0.3073, train/util_ratio: 0.8304, train/run_time: 0.1666, lr: 0.0194, train/prefecth_time: 0.0075 
[2025-04-20 05:43:23,306 INFO] 165376 iteration USE_EMA: True, train/sup_loss: 0.1332, train/aux_loss: 0.1211, train/total_loss: 0.2543, train/util_ratio: 0.8080, train/run_time: 0.1429, lr: 0.0194, train/prefecth_time: 0.0068 
[2025-04-20 05:44:17,841 INFO] 165632 iteration USE_EMA: True, train/sup_loss: 0.1988, train/aux_loss: 0.1857, train/total_loss: 0.3845, train/util_ratio: 0.7612, train/run_time: 0.1712, lr: 0.0194, train/prefecth_time: 0.0124 
[2025-04-20 05:45:12,440 INFO] validating...
[2025-04-20 05:45:15,574 INFO] confusion matrix:
[[0.874 0.001 0.038 0.005 0.007 0.003 0.006 0.004 0.04  0.022]
 [0.006 0.945 0.001 0.    0.    0.001 0.002 0.001 0.004 0.04 ]
 [0.063 0.001 0.686 0.025 0.056 0.068 0.083 0.008 0.005 0.005]
 [0.021 0.004 0.063 0.535 0.039 0.212 0.089 0.015 0.007 0.015]
 [0.018 0.001 0.054 0.021 0.812 0.021 0.036 0.034 0.002 0.001]
 [0.011 0.002 0.034 0.091 0.028 0.77  0.018 0.045 0.    0.001]
 [0.006 0.    0.007 0.039 0.006 0.001 0.937 0.001 0.001 0.002]
 [0.014 0.002 0.048 0.027 0.038 0.061 0.006 0.799 0.002 0.003]
 [0.02  0.009 0.005 0.001 0.001 0.001 0.003 0.    0.86  0.1  ]
 [0.009 0.023 0.003 0.003 0.    0.001 0.001 0.    0.007 0.953]]
[2025-04-20 05:47:52,919 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 05:47:53,009 INFO] 165888 iteration, USE_EMA: True, train/sup_loss: 0.1547, train/aux_loss: 0.2942, train/total_loss: 0.4489, train/util_ratio: 0.7210, train/run_time: 0.1673, eval/loss: 0.7570, eval/top-1-acc: 0.8171, eval/top-5-acc: 0.9793, eval/balanced_acc: 0.8171, eval/precision: 0.8176, eval/recall: 0.8171, eval/F1: 0.8143, lr: 0.0194, train/prefecth_time: 0.0569 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 05:48:49,788 INFO] 166144 iteration USE_EMA: True, train/sup_loss: 0.1994, train/aux_loss: 0.3114, train/total_loss: 0.5108, train/util_ratio: 0.6897, train/run_time: 0.1606, lr: 0.0193, train/prefecth_time: 0.0043 
[2025-04-20 05:49:44,446 INFO] 166400 iteration USE_EMA: True, train/sup_loss: 0.2325, train/aux_loss: 0.3984, train/total_loss: 0.6308, train/util_ratio: 0.6719, train/run_time: 0.1514, lr: 0.0193, train/prefecth_time: 0.0047 
[2025-04-20 05:50:39,131 INFO] 166656 iteration USE_EMA: True, train/sup_loss: 0.1615, train/aux_loss: 0.1391, train/total_loss: 0.3007, train/util_ratio: 0.8036, train/run_time: 0.1782, lr: 0.0193, train/prefecth_time: 0.0049 
[2025-04-20 05:51:33,641 INFO] validating...
[2025-04-20 05:51:37,150 INFO] confusion matrix:
[[0.857 0.006 0.041 0.006 0.01  0.003 0.006 0.004 0.046 0.021]
 [0.003 0.954 0.001 0.    0.    0.001 0.002 0.    0.005 0.034]
 [0.059 0.002 0.705 0.022 0.059 0.065 0.074 0.006 0.004 0.004]
 [0.02  0.005 0.07  0.537 0.042 0.201 0.09  0.015 0.005 0.015]
 [0.021 0.001 0.052 0.018 0.81  0.023 0.031 0.041 0.002 0.001]
 [0.007 0.001 0.044 0.089 0.028 0.768 0.014 0.047 0.001 0.001]
 [0.005 0.    0.011 0.04  0.005 0.001 0.933 0.002 0.001 0.002]
 [0.012 0.002 0.038 0.028 0.037 0.053 0.006 0.819 0.003 0.002]
 [0.022 0.008 0.005 0.002 0.001 0.    0.003 0.    0.855 0.104]
 [0.007 0.031 0.002 0.006 0.    0.001 0.002 0.    0.008 0.943]]
[2025-04-20 05:51:41,453 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 05:51:41,454 INFO] 166912 iteration, USE_EMA: True, train/sup_loss: 0.1253, train/aux_loss: 0.1223, train/total_loss: 0.2476, train/util_ratio: 0.8192, train/run_time: 0.1641, eval/loss: 0.7685, eval/top-1-acc: 0.8181, eval/top-5-acc: 0.9790, eval/balanced_acc: 0.8181, eval/precision: 0.8177, eval/recall: 0.8181, eval/F1: 0.8154, lr: 0.0192, train/prefecth_time: 0.0190 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 05:52:38,636 INFO] 167168 iteration USE_EMA: True, train/sup_loss: 0.1833, train/aux_loss: 0.1569, train/total_loss: 0.3401, train/util_ratio: 0.8080, train/run_time: 0.1595, lr: 0.0192, train/prefecth_time: 0.0041 
[2025-04-20 05:53:33,346 INFO] 167424 iteration USE_EMA: True, train/sup_loss: 0.1315, train/aux_loss: 0.1702, train/total_loss: 0.3017, train/util_ratio: 0.8237, train/run_time: 0.1419, lr: 0.0192, train/prefecth_time: 0.0046 
[2025-04-20 05:54:27,948 INFO] 167680 iteration USE_EMA: True, train/sup_loss: 0.1471, train/aux_loss: 0.1002, train/total_loss: 0.2473, train/util_ratio: 0.8371, train/run_time: 0.1704, lr: 0.0191, train/prefecth_time: 0.0047 
[2025-04-20 05:55:22,279 INFO] validating...
[2025-04-20 05:55:24,897 INFO] confusion matrix:
[[0.859 0.005 0.033 0.005 0.01  0.004 0.006 0.003 0.054 0.021]
 [0.005 0.947 0.001 0.    0.    0.001 0.001 0.001 0.004 0.04 ]
 [0.07  0.003 0.678 0.024 0.056 0.069 0.081 0.011 0.004 0.004]
 [0.025 0.005 0.058 0.515 0.04  0.232 0.085 0.019 0.007 0.014]
 [0.02  0.001 0.047 0.019 0.809 0.023 0.032 0.046 0.001 0.002]
 [0.007 0.001 0.038 0.084 0.03  0.775 0.012 0.05  0.002 0.001]
 [0.005 0.    0.009 0.035 0.005 0.001 0.94  0.002 0.001 0.002]
 [0.008 0.003 0.029 0.025 0.037 0.051 0.005 0.834 0.004 0.004]
 [0.02  0.009 0.004 0.002 0.002 0.001 0.001 0.    0.861 0.1  ]
 [0.007 0.028 0.002 0.005 0.    0.001 0.001 0.    0.01  0.946]]
[2025-04-20 05:55:25,622 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 05:55:25,624 INFO] 167936 iteration, USE_EMA: True, train/sup_loss: 0.1139, train/aux_loss: 0.1600, train/total_loss: 0.2739, train/util_ratio: 0.7991, train/run_time: 0.1679, eval/loss: 0.7638, eval/top-1-acc: 0.8164, eval/top-5-acc: 0.9775, eval/balanced_acc: 0.8164, eval/precision: 0.8158, eval/recall: 0.8164, eval/F1: 0.8129, lr: 0.0191, train/prefecth_time: 0.0060 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 05:56:22,839 INFO] 168192 iteration USE_EMA: True, train/sup_loss: 0.1757, train/aux_loss: 0.0997, train/total_loss: 0.2754, train/util_ratio: 0.8281, train/run_time: 0.1628, lr: 0.0191, train/prefecth_time: 0.0326 
[2025-04-20 05:57:17,603 INFO] 168448 iteration USE_EMA: True, train/sup_loss: 0.1272, train/aux_loss: 0.1397, train/total_loss: 0.2668, train/util_ratio: 0.7768, train/run_time: 0.1499, lr: 0.0190, train/prefecth_time: 0.0516 
[2025-04-20 05:58:12,635 INFO] 168704 iteration USE_EMA: True, train/sup_loss: 0.1871, train/aux_loss: 0.1949, train/total_loss: 0.3820, train/util_ratio: 0.7321, train/run_time: 0.1806, lr: 0.0190, train/prefecth_time: 0.0062 
[2025-04-20 05:59:07,554 INFO] validating...
[2025-04-20 05:59:10,135 INFO] confusion matrix:
[[0.867 0.005 0.034 0.004 0.008 0.004 0.006 0.003 0.048 0.021]
 [0.002 0.961 0.001 0.    0.    0.001 0.002 0.001 0.003 0.029]
 [0.071 0.002 0.687 0.02  0.056 0.065 0.079 0.011 0.004 0.005]
 [0.022 0.007 0.06  0.531 0.044 0.206 0.092 0.019 0.005 0.014]
 [0.017 0.001 0.044 0.02  0.828 0.022 0.03  0.037 0.001 0.   ]
 [0.006 0.001 0.045 0.083 0.03  0.771 0.013 0.049 0.001 0.001]
 [0.006 0.001 0.008 0.038 0.007 0.001 0.935 0.001 0.001 0.002]
 [0.009 0.002 0.029 0.025 0.04  0.055 0.005 0.83  0.003 0.002]
 [0.021 0.011 0.004 0.001 0.002 0.001 0.001 0.    0.856 0.103]
 [0.009 0.03  0.003 0.004 0.    0.001 0.001 0.    0.008 0.944]]
[2025-04-20 05:59:11,587 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 05:59:11,587 INFO] 168960 iteration, USE_EMA: True, train/sup_loss: 0.1722, train/aux_loss: 0.4397, train/total_loss: 0.6119, train/util_ratio: 0.6116, train/run_time: 0.2373, eval/loss: 0.7425, eval/top-1-acc: 0.8210, eval/top-5-acc: 0.9790, eval/balanced_acc: 0.8210, eval/precision: 0.8204, eval/recall: 0.8210, eval/F1: 0.8177, lr: 0.0190, train/prefecth_time: 0.0055 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 06:01:19,568 INFO] select_ulb_dist:
[3.000e+00 5.500e+01 1.150e+02 2.630e+02 3.470e+02 8.960e+02 4.454e+03
 5.930e+02 2.381e+03 1.975e+03]
[2025-04-20 06:01:19,570 INFO] lb_select_ulb_dist:
[ 403.  294.  258.  349.  398.  926. 4472.  604. 2387. 1979.]
[2025-04-20 06:01:19,586 INFO] 165: Update the labeled data.
[2025-04-20 06:02:42,879 INFO] 169216 iteration USE_EMA: True, train/sup_loss: 0.2639, train/aux_loss: 0.2752, train/total_loss: 0.5391, train/util_ratio: 0.7656, train/run_time: 0.1628, lr: 0.0189, train/prefecth_time: 0.0075 
[2025-04-20 06:03:39,035 INFO] 169472 iteration USE_EMA: True, train/sup_loss: 0.1037, train/aux_loss: 0.1389, train/total_loss: 0.2426, train/util_ratio: 0.7835, train/run_time: 0.1603, lr: 0.0189, train/prefecth_time: 0.0068 
[2025-04-20 06:04:34,825 INFO] 169728 iteration USE_EMA: True, train/sup_loss: 0.1605, train/aux_loss: 0.1534, train/total_loss: 0.3139, train/util_ratio: 0.8237, train/run_time: 0.2332, lr: 0.0189, train/prefecth_time: 0.0083 
[2025-04-20 06:05:31,708 INFO] validating...
[2025-04-20 06:05:34,209 INFO] confusion matrix:
[[0.858 0.003 0.043 0.005 0.008 0.005 0.008 0.003 0.048 0.019]
 [0.004 0.932 0.004 0.001 0.    0.002 0.003 0.    0.01  0.044]
 [0.065 0.001 0.689 0.025 0.06  0.072 0.073 0.007 0.004 0.004]
 [0.017 0.004 0.056 0.556 0.039 0.211 0.083 0.016 0.007 0.011]
 [0.014 0.    0.048 0.022 0.825 0.024 0.031 0.034 0.002 0.   ]
 [0.009 0.    0.043 0.092 0.027 0.772 0.01  0.045 0.001 0.001]
 [0.005 0.    0.01  0.034 0.005 0.002 0.941 0.001 0.001 0.001]
 [0.011 0.002 0.034 0.026 0.04  0.058 0.004 0.82  0.003 0.002]
 [0.015 0.008 0.004 0.    0.001 0.003 0.002 0.    0.86  0.107]
 [0.007 0.019 0.003 0.004 0.    0.001 0.001 0.    0.009 0.956]]
[2025-04-20 06:05:34,729 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 06:05:34,730 INFO] 169984 iteration, USE_EMA: True, train/sup_loss: 0.1325, train/aux_loss: 0.1114, train/total_loss: 0.2439, train/util_ratio: 0.8259, train/run_time: 0.1732, eval/loss: 0.7397, eval/top-1-acc: 0.8209, eval/top-5-acc: 0.9816, eval/balanced_acc: 0.8209, eval/precision: 0.8217, eval/recall: 0.8209, eval/F1: 0.8186, lr: 0.0189, train/prefecth_time: 0.0086 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 06:06:32,552 INFO] 170240 iteration USE_EMA: True, train/sup_loss: 0.1480, train/aux_loss: 0.1028, train/total_loss: 0.2508, train/util_ratio: 0.8304, train/run_time: 0.1614, lr: 0.0188, train/prefecth_time: 0.0044 
[2025-04-20 06:07:27,819 INFO] 170496 iteration USE_EMA: True, train/sup_loss: 0.0992, train/aux_loss: 0.1215, train/total_loss: 0.2207, train/util_ratio: 0.8125, train/run_time: 0.1585, lr: 0.0188, train/prefecth_time: 0.0068 
[2025-04-20 06:08:22,962 INFO] 170752 iteration USE_EMA: True, train/sup_loss: 0.1624, train/aux_loss: 0.1598, train/total_loss: 0.3222, train/util_ratio: 0.8237, train/run_time: 0.1623, lr: 0.0188, train/prefecth_time: 0.0064 
[2025-04-20 06:09:18,064 INFO] validating...
[2025-04-20 06:09:20,522 INFO] confusion matrix:
[[0.864 0.003 0.035 0.006 0.009 0.005 0.008 0.004 0.046 0.02 ]
 [0.005 0.936 0.001 0.001 0.    0.001 0.002 0.    0.009 0.045]
 [0.068 0.001 0.67  0.025 0.058 0.073 0.085 0.01  0.003 0.007]
 [0.02  0.003 0.054 0.53  0.04  0.22  0.096 0.019 0.006 0.012]
 [0.019 0.    0.037 0.016 0.83  0.023 0.032 0.042 0.001 0.   ]
 [0.01  0.    0.035 0.082 0.024 0.78  0.013 0.053 0.001 0.002]
 [0.007 0.    0.008 0.031 0.005 0.002 0.944 0.001 0.001 0.001]
 [0.012 0.002 0.028 0.022 0.034 0.059 0.006 0.831 0.004 0.002]
 [0.016 0.009 0.004 0.    0.001 0.001 0.001 0.    0.868 0.1  ]
 [0.005 0.02  0.003 0.003 0.    0.001 0.001 0.    0.009 0.958]]
[2025-04-20 06:09:20,977 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 06:09:20,978 INFO] 171008 iteration, USE_EMA: True, train/sup_loss: 0.1345, train/aux_loss: 0.1897, train/total_loss: 0.3242, train/util_ratio: 0.7679, train/run_time: 0.1556, eval/loss: 0.7531, eval/top-1-acc: 0.8211, eval/top-5-acc: 0.9800, eval/balanced_acc: 0.8211, eval/precision: 0.8219, eval/recall: 0.8211, eval/F1: 0.8178, lr: 0.0187, train/prefecth_time: 0.0052 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 06:10:19,679 INFO] 171264 iteration USE_EMA: True, train/sup_loss: 0.1505, train/aux_loss: 0.1499, train/total_loss: 0.3004, train/util_ratio: 0.8080, train/run_time: 0.1596, lr: 0.0187, train/prefecth_time: 0.0062 
[2025-04-20 06:11:15,042 INFO] 171520 iteration USE_EMA: True, train/sup_loss: 0.1000, train/aux_loss: 0.1030, train/total_loss: 0.2030, train/util_ratio: 0.8281, train/run_time: 0.1540, lr: 0.0187, train/prefecth_time: 0.0709 
[2025-04-20 06:12:10,450 INFO] 171776 iteration USE_EMA: True, train/sup_loss: 0.1535, train/aux_loss: 0.1350, train/total_loss: 0.2885, train/util_ratio: 0.7902, train/run_time: 0.1684, lr: 0.0186, train/prefecth_time: 0.0061 
[2025-04-20 06:13:05,856 INFO] validating...
[2025-04-20 06:13:09,027 INFO] confusion matrix:
[[0.874 0.002 0.033 0.006 0.009 0.004 0.007 0.004 0.044 0.017]
 [0.005 0.936 0.001 0.001 0.    0.001 0.001 0.001 0.009 0.045]
 [0.075 0.001 0.665 0.02  0.063 0.07  0.086 0.011 0.003 0.006]
 [0.026 0.004 0.045 0.518 0.043 0.221 0.104 0.017 0.008 0.014]
 [0.018 0.001 0.039 0.017 0.823 0.023 0.034 0.045 0.    0.   ]
 [0.01  0.    0.032 0.082 0.025 0.778 0.016 0.054 0.001 0.002]
 [0.006 0.    0.007 0.032 0.005 0.001 0.945 0.001 0.001 0.002]
 [0.013 0.002 0.028 0.022 0.032 0.056 0.005 0.836 0.004 0.002]
 [0.016 0.007 0.004 0.    0.001 0.002 0.001 0.    0.865 0.104]
 [0.006 0.019 0.003 0.003 0.    0.002 0.002 0.    0.008 0.957]]
[2025-04-20 06:13:13,250 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 06:13:13,252 INFO] 172032 iteration, USE_EMA: True, train/sup_loss: 0.1262, train/aux_loss: 0.1053, train/total_loss: 0.2315, train/util_ratio: 0.8259, train/run_time: 0.1557, eval/loss: 0.7484, eval/top-1-acc: 0.8197, eval/top-5-acc: 0.9787, eval/balanced_acc: 0.8197, eval/precision: 0.8205, eval/recall: 0.8197, eval/F1: 0.8160, lr: 0.0186, train/prefecth_time: 0.0151 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 06:14:12,017 INFO] 172288 iteration USE_EMA: True, train/sup_loss: 0.7584, train/aux_loss: 1.1749, train/total_loss: 1.9333, train/util_ratio: 0.4263, train/run_time: 0.1672, lr: 0.0186, train/prefecth_time: 0.0776 
[2025-04-20 06:15:08,031 INFO] 172544 iteration USE_EMA: True, train/sup_loss: 0.1850, train/aux_loss: 0.3875, train/total_loss: 0.5725, train/util_ratio: 0.6429, train/run_time: 0.1645, lr: 0.0185, train/prefecth_time: 0.0125 
[2025-04-20 06:16:03,953 INFO] 172800 iteration USE_EMA: True, train/sup_loss: 0.1961, train/aux_loss: 0.3918, train/total_loss: 0.5879, train/util_ratio: 0.6964, train/run_time: 0.1717, lr: 0.0185, train/prefecth_time: 0.0073 
[2025-04-20 06:16:59,801 INFO] validating...
[2025-04-20 06:17:02,204 INFO] confusion matrix:
[[0.865 0.004 0.037 0.004 0.01  0.003 0.006 0.007 0.044 0.02 ]
 [0.004 0.938 0.004 0.    0.    0.003 0.002 0.001 0.007 0.041]
 [0.059 0.001 0.684 0.026 0.069 0.061 0.083 0.008 0.002 0.007]
 [0.016 0.003 0.065 0.534 0.048 0.204 0.095 0.018 0.006 0.011]
 [0.017 0.    0.041 0.012 0.839 0.024 0.031 0.036 0.    0.   ]
 [0.007 0.    0.039 0.085 0.032 0.772 0.016 0.047 0.001 0.001]
 [0.005 0.001 0.01  0.031 0.006 0.001 0.941 0.001 0.001 0.003]
 [0.009 0.001 0.036 0.028 0.044 0.06  0.008 0.81  0.003 0.001]
 [0.018 0.006 0.003 0.001 0.002 0.001 0.002 0.    0.855 0.112]
 [0.005 0.022 0.003 0.007 0.    0.001 0.002 0.001 0.008 0.951]]
[2025-04-20 06:17:02,658 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 06:17:02,659 INFO] 173056 iteration, USE_EMA: True, train/sup_loss: 0.1670, train/aux_loss: 0.1936, train/total_loss: 0.3606, train/util_ratio: 0.7924, train/run_time: 0.1623, eval/loss: 0.7334, eval/top-1-acc: 0.8189, eval/top-5-acc: 0.9841, eval/balanced_acc: 0.8189, eval/precision: 0.8196, eval/recall: 0.8189, eval/F1: 0.8159, lr: 0.0185, train/prefecth_time: 0.0058 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 06:17:59,778 INFO] 173312 iteration USE_EMA: True, train/sup_loss: 0.1483, train/aux_loss: 0.1268, train/total_loss: 0.2751, train/util_ratio: 0.7991, train/run_time: 0.1623, lr: 0.0184, train/prefecth_time: 0.0778 
[2025-04-20 06:18:55,109 INFO] 173568 iteration USE_EMA: True, train/sup_loss: 0.1009, train/aux_loss: 0.1330, train/total_loss: 0.2339, train/util_ratio: 0.7902, train/run_time: 0.2379, lr: 0.0184, train/prefecth_time: 0.0762 
[2025-04-20 06:19:50,266 INFO] 173824 iteration USE_EMA: True, train/sup_loss: 0.1556, train/aux_loss: 0.1270, train/total_loss: 0.2826, train/util_ratio: 0.8281, train/run_time: 0.1693, lr: 0.0184, train/prefecth_time: 0.0140 
[2025-04-20 06:20:45,583 INFO] validating...
[2025-04-20 06:20:47,987 INFO] confusion matrix:
[[0.871 0.005 0.028 0.004 0.007 0.006 0.005 0.006 0.045 0.023]
 [0.005 0.937 0.003 0.    0.    0.001 0.002 0.001 0.007 0.044]
 [0.071 0.    0.661 0.03  0.062 0.071 0.084 0.01  0.005 0.006]
 [0.025 0.005 0.061 0.521 0.046 0.214 0.089 0.018 0.007 0.014]
 [0.015 0.    0.036 0.016 0.828 0.024 0.032 0.048 0.001 0.   ]
 [0.011 0.001 0.029 0.086 0.027 0.775 0.016 0.053 0.001 0.001]
 [0.006 0.001 0.012 0.03  0.005 0.003 0.94  0.001 0.001 0.001]
 [0.01  0.001 0.029 0.021 0.036 0.059 0.005 0.833 0.003 0.003]
 [0.015 0.007 0.003 0.001 0.001 0.001 0.001 0.001 0.864 0.106]
 [0.006 0.019 0.003 0.004 0.    0.001 0.    0.001 0.007 0.959]]
[2025-04-20 06:20:48,396 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 06:20:48,397 INFO] 174080 iteration, USE_EMA: True, train/sup_loss: 0.1269, train/aux_loss: 0.1329, train/total_loss: 0.2598, train/util_ratio: 0.8080, train/run_time: 0.1604, eval/loss: 0.7537, eval/top-1-acc: 0.8189, eval/top-5-acc: 0.9810, eval/balanced_acc: 0.8189, eval/precision: 0.8190, eval/recall: 0.8189, eval/F1: 0.8153, lr: 0.0183, train/prefecth_time: 0.0077 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 06:22:59,911 INFO] select_ulb_dist:
[   0.    7.  117.  263.  348.  896. 4454.  593. 2381. 1975.]
[2025-04-20 06:22:59,912 INFO] lb_select_ulb_dist:
[ 400.  246.  260.  349.  399.  926. 4472.  604. 2387. 1979.]
[2025-04-20 06:22:59,925 INFO] 170: Update the labeled data.
[2025-04-20 06:24:22,890 INFO] 174336 iteration USE_EMA: True, train/sup_loss: 0.1423, train/aux_loss: 0.1550, train/total_loss: 0.2972, train/util_ratio: 0.8192, train/run_time: 0.1671, lr: 0.0183, train/prefecth_time: 0.0082 
[2025-04-20 06:25:19,477 INFO] 174592 iteration USE_EMA: True, train/sup_loss: 0.0959, train/aux_loss: 0.0964, train/total_loss: 0.1922, train/util_ratio: 0.8549, train/run_time: 0.1399, lr: 0.0183, train/prefecth_time: 0.0062 
[2025-04-20 06:26:15,193 INFO] 174848 iteration USE_EMA: True, train/sup_loss: 0.1982, train/aux_loss: 0.0878, train/total_loss: 0.2860, train/util_ratio: 0.8080, train/run_time: 0.2131, lr: 0.0183, train/prefecth_time: 0.0081 
[2025-04-20 06:27:11,342 INFO] validating...
[2025-04-20 06:27:13,771 INFO] confusion matrix:
[[0.888 0.003 0.022 0.004 0.004 0.005 0.004 0.005 0.046 0.019]
 [0.006 0.935 0.001 0.    0.    0.001 0.002 0.001 0.009 0.045]
 [0.073 0.001 0.652 0.024 0.058 0.075 0.088 0.014 0.008 0.007]
 [0.03  0.006 0.052 0.508 0.039 0.232 0.091 0.021 0.006 0.015]
 [0.016 0.001 0.038 0.018 0.817 0.03  0.032 0.045 0.003 0.   ]
 [0.009 0.002 0.025 0.084 0.022 0.787 0.016 0.052 0.001 0.002]
 [0.006 0.001 0.007 0.034 0.006 0.002 0.941 0.001 0.001 0.001]
 [0.009 0.001 0.032 0.021 0.032 0.058 0.004 0.837 0.003 0.003]
 [0.017 0.009 0.002 0.    0.001 0.001 0.001 0.    0.866 0.103]
 [0.01  0.016 0.004 0.002 0.    0.001 0.    0.001 0.007 0.959]]
[2025-04-20 06:27:14,207 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 06:27:14,208 INFO] 175104 iteration, USE_EMA: True, train/sup_loss: 0.2027, train/aux_loss: 0.1218, train/total_loss: 0.3245, train/util_ratio: 0.8281, train/run_time: 0.1646, eval/loss: 0.7643, eval/top-1-acc: 0.8190, eval/top-5-acc: 0.9775, eval/balanced_acc: 0.8190, eval/precision: 0.8198, eval/recall: 0.8190, eval/F1: 0.8150, lr: 0.0182, train/prefecth_time: 0.0059 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 06:28:11,611 INFO] 175360 iteration USE_EMA: True, train/sup_loss: 0.2788, train/aux_loss: 0.5823, train/total_loss: 0.8610, train/util_ratio: 0.6183, train/run_time: 0.1657, lr: 0.0182, train/prefecth_time: 0.0684 
[2025-04-20 06:29:06,752 INFO] 175616 iteration USE_EMA: True, train/sup_loss: 0.1473, train/aux_loss: 0.4367, train/total_loss: 0.5840, train/util_ratio: 0.6674, train/run_time: 0.1774, lr: 0.0182, train/prefecth_time: 0.0059 
[2025-04-20 06:30:01,716 INFO] 175872 iteration USE_EMA: True, train/sup_loss: 0.1921, train/aux_loss: 0.1737, train/total_loss: 0.3658, train/util_ratio: 0.7991, train/run_time: 0.1676, lr: 0.0181, train/prefecth_time: 0.0843 
[2025-04-20 06:30:56,940 INFO] validating...
[2025-04-20 06:30:59,492 INFO] confusion matrix:
[[0.885 0.003 0.03  0.004 0.011 0.006 0.005 0.006 0.035 0.015]
 [0.006 0.946 0.004 0.    0.    0.002 0.003 0.    0.005 0.034]
 [0.061 0.001 0.69  0.022 0.059 0.066 0.085 0.007 0.005 0.004]
 [0.023 0.005 0.06  0.522 0.047 0.218 0.094 0.016 0.008 0.007]
 [0.016 0.001 0.057 0.013 0.814 0.024 0.036 0.039 0.    0.   ]
 [0.009 0.003 0.036 0.082 0.027 0.776 0.017 0.048 0.001 0.001]
 [0.005 0.    0.01  0.033 0.005 0.001 0.943 0.001 0.001 0.001]
 [0.011 0.001 0.033 0.029 0.04  0.061 0.008 0.813 0.003 0.001]
 [0.02  0.008 0.001 0.005 0.003 0.    0.002 0.    0.858 0.103]
 [0.012 0.027 0.001 0.007 0.    0.001 0.003 0.002 0.007 0.94 ]]
[2025-04-20 06:31:00,051 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 06:31:00,052 INFO] 176128 iteration, USE_EMA: True, train/sup_loss: 0.1899, train/aux_loss: 0.2032, train/total_loss: 0.3930, train/util_ratio: 0.8036, train/run_time: 0.1647, eval/loss: 0.7605, eval/top-1-acc: 0.8187, eval/top-5-acc: 0.9814, eval/balanced_acc: 0.8187, eval/precision: 0.8193, eval/recall: 0.8187, eval/F1: 0.8156, lr: 0.0181, train/prefecth_time: 0.0055 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 06:31:57,141 INFO] 176384 iteration USE_EMA: True, train/sup_loss: 0.1446, train/aux_loss: 0.0862, train/total_loss: 0.2308, train/util_ratio: 0.8616, train/run_time: 0.1664, lr: 0.0181, train/prefecth_time: 0.0052 
[2025-04-20 06:32:52,671 INFO] 176640 iteration USE_EMA: True, train/sup_loss: 0.0967, train/aux_loss: 0.1349, train/total_loss: 0.2317, train/util_ratio: 0.8571, train/run_time: 0.1427, lr: 0.0180, train/prefecth_time: 0.0079 
[2025-04-20 06:33:49,707 INFO] 176896 iteration USE_EMA: True, train/sup_loss: 0.1899, train/aux_loss: 0.1255, train/total_loss: 0.3154, train/util_ratio: 0.8192, train/run_time: 0.1691, lr: 0.0180, train/prefecth_time: 0.0760 
[2025-04-20 06:34:46,593 INFO] validating...
[2025-04-20 06:34:49,212 INFO] confusion matrix:
[[0.882 0.002 0.023 0.005 0.008 0.007 0.007 0.006 0.041 0.019]
 [0.007 0.939 0.003 0.    0.    0.001 0.003 0.    0.007 0.04 ]
 [0.07  0.003 0.668 0.022 0.059 0.067 0.092 0.008 0.006 0.005]
 [0.03  0.005 0.052 0.515 0.045 0.225 0.09  0.02  0.009 0.009]
 [0.018 0.001 0.049 0.015 0.81  0.025 0.034 0.046 0.002 0.   ]
 [0.011 0.002 0.031 0.081 0.025 0.782 0.017 0.049 0.001 0.001]
 [0.005 0.    0.006 0.037 0.004 0.001 0.944 0.001 0.001 0.001]
 [0.011 0.002 0.031 0.025 0.035 0.057 0.007 0.826 0.004 0.002]
 [0.017 0.007 0.003 0.005 0.002 0.001 0.002 0.    0.86  0.103]
 [0.008 0.028 0.002 0.006 0.    0.001 0.001 0.001 0.009 0.944]]
[2025-04-20 06:34:49,523 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 06:34:49,524 INFO] 177152 iteration, USE_EMA: True, train/sup_loss: 0.1811, train/aux_loss: 0.1428, train/total_loss: 0.3239, train/util_ratio: 0.8103, train/run_time: 0.1642, eval/loss: 0.7679, eval/top-1-acc: 0.8170, eval/top-5-acc: 0.9792, eval/balanced_acc: 0.8170, eval/precision: 0.8173, eval/recall: 0.8170, eval/F1: 0.8134, lr: 0.0180, train/prefecth_time: 0.0205 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 06:35:47,476 INFO] 177408 iteration USE_EMA: True, train/sup_loss: 0.1428, train/aux_loss: 0.1677, train/total_loss: 0.3105, train/util_ratio: 0.8237, train/run_time: 0.1650, lr: 0.0179, train/prefecth_time: 0.0050 
[2025-04-20 06:36:43,656 INFO] 177664 iteration USE_EMA: True, train/sup_loss: 0.0975, train/aux_loss: 0.1306, train/total_loss: 0.2282, train/util_ratio: 0.8103, train/run_time: 0.2004, lr: 0.0179, train/prefecth_time: 0.0695 
[2025-04-20 06:37:39,733 INFO] 177920 iteration USE_EMA: True, train/sup_loss: 0.1889, train/aux_loss: 0.1666, train/total_loss: 0.3555, train/util_ratio: 0.8103, train/run_time: 0.1695, lr: 0.0179, train/prefecth_time: 0.0110 
[2025-04-20 06:38:35,420 INFO] validating...
[2025-04-20 06:38:37,941 INFO] confusion matrix:
[[0.869 0.003 0.028 0.005 0.008 0.006 0.007 0.006 0.049 0.019]
 [0.006 0.934 0.003 0.    0.001 0.001 0.003 0.    0.009 0.043]
 [0.069 0.002 0.662 0.023 0.063 0.069 0.09  0.011 0.005 0.006]
 [0.032 0.008 0.05  0.51  0.047 0.221 0.088 0.022 0.008 0.014]
 [0.016 0.001 0.052 0.017 0.807 0.025 0.031 0.048 0.003 0.   ]
 [0.009 0.002 0.029 0.083 0.026 0.78  0.018 0.05  0.001 0.002]
 [0.007 0.    0.004 0.036 0.005 0.002 0.943 0.001 0.001 0.001]
 [0.012 0.002 0.028 0.027 0.033 0.058 0.007 0.828 0.004 0.001]
 [0.016 0.006 0.004 0.002 0.002 0.001 0.002 0.    0.866 0.101]
 [0.006 0.025 0.002 0.006 0.    0.002 0.001 0.    0.009 0.949]]
[2025-04-20 06:38:38,281 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 06:38:38,282 INFO] 178176 iteration, USE_EMA: True, train/sup_loss: 0.1826, train/aux_loss: 0.1163, train/total_loss: 0.2989, train/util_ratio: 0.8281, train/run_time: 0.1695, eval/loss: 0.7587, eval/top-1-acc: 0.8148, eval/top-5-acc: 0.9775, eval/balanced_acc: 0.8148, eval/precision: 0.8146, eval/recall: 0.8148, eval/F1: 0.8110, lr: 0.0178, train/prefecth_time: 0.0767 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 06:39:36,205 INFO] 178432 iteration USE_EMA: True, train/sup_loss: 0.1435, train/aux_loss: 0.1812, train/total_loss: 0.3247, train/util_ratio: 0.7723, train/run_time: 0.1660, lr: 0.0178, train/prefecth_time: 0.0046 
[2025-04-20 06:40:32,103 INFO] 178688 iteration USE_EMA: True, train/sup_loss: 0.1130, train/aux_loss: 0.2851, train/total_loss: 0.3981, train/util_ratio: 0.7411, train/run_time: 0.1404, lr: 0.0178, train/prefecth_time: 0.1030 
[2025-04-20 06:41:27,766 INFO] 178944 iteration USE_EMA: True, train/sup_loss: 0.2435, train/aux_loss: 0.4045, train/total_loss: 0.6480, train/util_ratio: 0.6652, train/run_time: 0.1748, lr: 0.0177, train/prefecth_time: 0.0089 
[2025-04-20 06:42:23,586 INFO] validating...
[2025-04-20 06:42:27,331 INFO] confusion matrix:
[[0.86  0.007 0.045 0.004 0.008 0.003 0.007 0.004 0.042 0.02 ]
 [0.004 0.944 0.003 0.    0.    0.001 0.004 0.    0.004 0.04 ]
 [0.053 0.001 0.704 0.026 0.06  0.057 0.085 0.005 0.004 0.005]
 [0.02  0.005 0.07  0.534 0.048 0.189 0.095 0.021 0.007 0.011]
 [0.011 0.001 0.048 0.018 0.817 0.023 0.039 0.041 0.002 0.   ]
 [0.008 0.002 0.039 0.087 0.029 0.763 0.022 0.048 0.001 0.001]
 [0.005 0.    0.016 0.036 0.005 0.    0.935 0.001 0.001 0.001]
 [0.01  0.001 0.036 0.027 0.041 0.047 0.008 0.827 0.003 0.   ]
 [0.016 0.008 0.005 0.002 0.003 0.    0.001 0.    0.862 0.103]
 [0.005 0.025 0.003 0.007 0.    0.001 0.    0.001 0.008 0.95 ]]
[2025-04-20 06:42:27,933 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 06:42:27,934 INFO] 179200 iteration, USE_EMA: True, train/sup_loss: 0.2774, train/aux_loss: 0.2829, train/total_loss: 0.5604, train/util_ratio: 0.7478, train/run_time: 0.1629, eval/loss: 0.7309, eval/top-1-acc: 0.8196, eval/top-5-acc: 0.9820, eval/balanced_acc: 0.8196, eval/precision: 0.8193, eval/recall: 0.8196, eval/F1: 0.8167, lr: 0.0177, train/prefecth_time: 0.0043 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 06:44:44,537 INFO] select_ulb_dist:
[   0.    0.  118.  263.  348.  896. 4454.  593. 2381. 1975.]
[2025-04-20 06:44:44,538 INFO] lb_select_ulb_dist:
[ 400.  239.  261.  349.  399.  926. 4472.  604. 2387. 1979.]
[2025-04-20 06:44:44,551 INFO] 175: Update the labeled data.
[2025-04-20 06:46:08,912 INFO] 179456 iteration USE_EMA: True, train/sup_loss: 0.1673, train/aux_loss: 0.1940, train/total_loss: 0.3613, train/util_ratio: 0.8036, train/run_time: 0.1609, lr: 0.0177, train/prefecth_time: 0.0073 
[2025-04-20 06:47:06,344 INFO] 179712 iteration USE_EMA: True, train/sup_loss: 0.1243, train/aux_loss: 0.1657, train/total_loss: 0.2899, train/util_ratio: 0.8304, train/run_time: 0.1818, lr: 0.0176, train/prefecth_time: 0.0593 
[2025-04-20 06:48:02,900 INFO] 179968 iteration USE_EMA: True, train/sup_loss: 0.1125, train/aux_loss: 0.1592, train/total_loss: 0.2717, train/util_ratio: 0.7991, train/run_time: 0.1573, lr: 0.0176, train/prefecth_time: 0.0070 
[2025-04-20 06:49:00,319 INFO] validating...
[2025-04-20 06:49:02,691 INFO] confusion matrix:
[[0.855 0.002 0.053 0.004 0.009 0.003 0.009 0.005 0.044 0.016]
 [0.005 0.928 0.002 0.    0.    0.001 0.01  0.    0.007 0.047]
 [0.058 0.002 0.69  0.027 0.059 0.062 0.085 0.008 0.005 0.004]
 [0.027 0.005 0.068 0.536 0.042 0.182 0.102 0.022 0.007 0.009]
 [0.011 0.001 0.053 0.022 0.807 0.022 0.038 0.043 0.003 0.   ]
 [0.007 0.002 0.043 0.089 0.026 0.76  0.023 0.049 0.    0.001]
 [0.005 0.    0.012 0.038 0.003 0.    0.939 0.002 0.001 0.   ]
 [0.011 0.001 0.035 0.023 0.033 0.056 0.01  0.827 0.003 0.001]
 [0.016 0.008 0.003 0.005 0.003 0.    0.001 0.    0.865 0.099]
 [0.007 0.021 0.004 0.006 0.    0.001 0.002 0.002 0.009 0.948]]
[2025-04-20 06:49:03,064 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 06:49:03,065 INFO] 180224 iteration, USE_EMA: True, train/sup_loss: 0.1190, train/aux_loss: 0.1346, train/total_loss: 0.2536, train/util_ratio: 0.8415, train/run_time: 0.3917, eval/loss: 0.7314, eval/top-1-acc: 0.8155, eval/top-5-acc: 0.9815, eval/balanced_acc: 0.8155, eval/precision: 0.8155, eval/recall: 0.8155, eval/F1: 0.8128, lr: 0.0176, train/prefecth_time: 0.0065 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 06:50:00,922 INFO] 180480 iteration USE_EMA: True, train/sup_loss: 0.1630, train/aux_loss: 0.1635, train/total_loss: 0.3265, train/util_ratio: 0.8036, train/run_time: 0.1737, lr: 0.0175, train/prefecth_time: 0.0087 
[2025-04-20 06:50:57,420 INFO] 180736 iteration USE_EMA: True, train/sup_loss: 0.1202, train/aux_loss: 0.1081, train/total_loss: 0.2282, train/util_ratio: 0.7879, train/run_time: 0.1740, lr: 0.0175, train/prefecth_time: 0.0093 
[2025-04-20 06:51:53,341 INFO] 180992 iteration USE_EMA: True, train/sup_loss: 0.1118, train/aux_loss: 0.1313, train/total_loss: 0.2431, train/util_ratio: 0.8259, train/run_time: 0.1583, lr: 0.0175, train/prefecth_time: 0.0100 
[2025-04-20 06:52:48,490 INFO] validating...
[2025-04-20 06:52:51,445 INFO] confusion matrix:
[[0.868 0.002 0.037 0.005 0.011 0.003 0.005 0.004 0.046 0.019]
 [0.005 0.933 0.002 0.    0.    0.001 0.006 0.    0.007 0.046]
 [0.069 0.002 0.661 0.026 0.063 0.066 0.092 0.012 0.005 0.004]
 [0.031 0.006 0.052 0.53  0.046 0.199 0.096 0.022 0.006 0.012]
 [0.013 0.001 0.044 0.017 0.809 0.028 0.034 0.051 0.003 0.   ]
 [0.009 0.001 0.03  0.092 0.025 0.764 0.021 0.053 0.002 0.003]
 [0.006 0.    0.009 0.033 0.004 0.002 0.942 0.002 0.001 0.001]
 [0.013 0.001 0.025 0.024 0.033 0.06  0.007 0.833 0.003 0.001]
 [0.016 0.006 0.004 0.002 0.003 0.    0.001 0.    0.868 0.1  ]
 [0.006 0.023 0.002 0.005 0.    0.001 0.001 0.001 0.009 0.952]]
[2025-04-20 06:52:52,126 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 06:52:52,127 INFO] 181248 iteration, USE_EMA: True, train/sup_loss: 0.1242, train/aux_loss: 0.1374, train/total_loss: 0.2616, train/util_ratio: 0.8058, train/run_time: 0.1815, eval/loss: 0.7413, eval/top-1-acc: 0.8160, eval/top-5-acc: 0.9799, eval/balanced_acc: 0.8160, eval/precision: 0.8157, eval/recall: 0.8160, eval/F1: 0.8126, lr: 0.0174, train/prefecth_time: 0.1031 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 06:53:50,010 INFO] 181504 iteration USE_EMA: True, train/sup_loss: 0.1482, train/aux_loss: 0.1303, train/total_loss: 0.2785, train/util_ratio: 0.8348, train/run_time: 0.1672, lr: 0.0174, train/prefecth_time: 0.0071 
[2025-04-20 06:54:45,574 INFO] 181760 iteration USE_EMA: True, train/sup_loss: 0.1219, train/aux_loss: 0.1276, train/total_loss: 0.2495, train/util_ratio: 0.8192, train/run_time: 0.1724, lr: 0.0174, train/prefecth_time: 0.0062 
[2025-04-20 06:55:41,096 INFO] 182016 iteration USE_EMA: True, train/sup_loss: 0.1105, train/aux_loss: 0.1409, train/total_loss: 0.2515, train/util_ratio: 0.8058, train/run_time: 0.1579, lr: 0.0173, train/prefecth_time: 0.0067 
[2025-04-20 06:56:36,792 INFO] validating...
[2025-04-20 06:56:39,357 INFO] confusion matrix:
[[0.884 0.002 0.026 0.006 0.007 0.003 0.006 0.002 0.046 0.018]
 [0.005 0.93  0.002 0.    0.    0.001 0.006 0.    0.007 0.049]
 [0.08  0.003 0.651 0.022 0.063 0.067 0.091 0.015 0.005 0.003]
 [0.032 0.003 0.049 0.521 0.041 0.218 0.098 0.02  0.007 0.011]
 [0.013 0.001 0.038 0.02  0.807 0.031 0.036 0.052 0.002 0.   ]
 [0.01  0.    0.031 0.084 0.024 0.775 0.02  0.051 0.002 0.003]
 [0.007 0.    0.007 0.036 0.005 0.001 0.941 0.001 0.001 0.001]
 [0.012 0.001 0.029 0.027 0.033 0.059 0.007 0.828 0.003 0.001]
 [0.019 0.006 0.004 0.003 0.003 0.    0.001 0.    0.867 0.097]
 [0.011 0.019 0.002 0.005 0.    0.002 0.001 0.    0.008 0.952]]
[2025-04-20 06:56:39,751 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 06:56:39,751 INFO] 182272 iteration, USE_EMA: True, train/sup_loss: 0.1204, train/aux_loss: 0.1158, train/total_loss: 0.2362, train/util_ratio: 0.8214, train/run_time: 0.1689, eval/loss: 0.7478, eval/top-1-acc: 0.8156, eval/top-5-acc: 0.9792, eval/balanced_acc: 0.8156, eval/precision: 0.8161, eval/recall: 0.8156, eval/F1: 0.8120, lr: 0.0173, train/prefecth_time: 0.0057 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 06:57:37,229 INFO] 182528 iteration USE_EMA: True, train/sup_loss: 0.2416, train/aux_loss: 0.5268, train/total_loss: 0.7685, train/util_ratio: 0.5268, train/run_time: 0.2345, lr: 0.0173, train/prefecth_time: 0.0076 
[2025-04-20 06:58:33,595 INFO] 182784 iteration USE_EMA: True, train/sup_loss: 0.1736, train/aux_loss: 0.4300, train/total_loss: 0.6036, train/util_ratio: 0.6629, train/run_time: 0.2200, lr: 0.0172, train/prefecth_time: 0.0864 
[2025-04-20 06:59:29,113 INFO] 183040 iteration USE_EMA: True, train/sup_loss: 0.1375, train/aux_loss: 0.2584, train/total_loss: 0.3959, train/util_ratio: 0.7388, train/run_time: 0.1611, lr: 0.0172, train/prefecth_time: 0.0044 
[2025-04-20 07:00:24,849 INFO] validating...
[2025-04-20 07:00:27,334 INFO] confusion matrix:
[[0.87  0.004 0.037 0.005 0.009 0.003 0.009 0.003 0.043 0.017]
 [0.005 0.933 0.002 0.    0.    0.001 0.006 0.001 0.008 0.044]
 [0.067 0.001 0.661 0.027 0.061 0.072 0.094 0.009 0.004 0.004]
 [0.021 0.005 0.056 0.527 0.04  0.203 0.108 0.019 0.009 0.012]
 [0.014 0.001 0.046 0.022 0.813 0.025 0.036 0.043 0.    0.   ]
 [0.004 0.001 0.041 0.092 0.027 0.766 0.021 0.047 0.    0.001]
 [0.007 0.    0.009 0.036 0.004 0.001 0.94  0.001 0.001 0.001]
 [0.01  0.002 0.034 0.032 0.034 0.052 0.006 0.827 0.003 0.   ]
 [0.017 0.008 0.007 0.004 0.002 0.    0.002 0.    0.86  0.1  ]
 [0.006 0.022 0.002 0.011 0.001 0.001 0.001 0.    0.007 0.949]]
[2025-04-20 07:00:28,112 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 07:00:28,113 INFO] 183296 iteration, USE_EMA: True, train/sup_loss: 0.1390, train/aux_loss: 0.1591, train/total_loss: 0.2981, train/util_ratio: 0.8214, train/run_time: 0.1571, eval/loss: 0.7456, eval/top-1-acc: 0.8146, eval/top-5-acc: 0.9824, eval/balanced_acc: 0.8146, eval/precision: 0.8145, eval/recall: 0.8146, eval/F1: 0.8115, lr: 0.0172, train/prefecth_time: 0.0858 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 07:01:25,993 INFO] 183552 iteration USE_EMA: True, train/sup_loss: 0.1504, train/aux_loss: 0.1790, train/total_loss: 0.3293, train/util_ratio: 0.7991, train/run_time: 0.2422, lr: 0.0171, train/prefecth_time: 0.0462 
[2025-04-20 07:02:21,438 INFO] 183808 iteration USE_EMA: True, train/sup_loss: 0.1240, train/aux_loss: 0.1078, train/total_loss: 0.2318, train/util_ratio: 0.8259, train/run_time: 0.1789, lr: 0.0171, train/prefecth_time: 0.0515 
[2025-04-20 07:03:17,384 INFO] 184064 iteration USE_EMA: True, train/sup_loss: 0.1100, train/aux_loss: 0.1771, train/total_loss: 0.2871, train/util_ratio: 0.7835, train/run_time: 0.1537, lr: 0.0171, train/prefecth_time: 0.0070 
[2025-04-20 07:04:12,849 INFO] validating...
[2025-04-20 07:04:15,194 INFO] confusion matrix:
[[0.874 0.003 0.033 0.005 0.009 0.005 0.004 0.007 0.043 0.017]
 [0.008 0.931 0.002 0.    0.    0.001 0.004 0.    0.009 0.045]
 [0.076 0.001 0.649 0.032 0.061 0.076 0.079 0.015 0.006 0.005]
 [0.024 0.005 0.049 0.528 0.038 0.216 0.103 0.017 0.008 0.012]
 [0.016 0.001 0.039 0.025 0.805 0.028 0.036 0.049 0.001 0.   ]
 [0.01  0.002 0.029 0.089 0.026 0.777 0.018 0.046 0.001 0.002]
 [0.008 0.    0.008 0.035 0.003 0.002 0.94  0.001 0.002 0.001]
 [0.011 0.002 0.032 0.029 0.031 0.053 0.004 0.833 0.003 0.002]
 [0.017 0.006 0.004 0.002 0.004 0.001 0.002 0.    0.866 0.098]
 [0.007 0.017 0.003 0.008 0.001 0.001 0.001 0.    0.01  0.952]]
[2025-04-20 07:04:15,530 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 07:04:15,530 INFO] 184320 iteration, USE_EMA: True, train/sup_loss: 0.1263, train/aux_loss: 0.1072, train/total_loss: 0.2336, train/util_ratio: 0.8125, train/run_time: 0.1582, eval/loss: 0.7588, eval/top-1-acc: 0.8155, eval/top-5-acc: 0.9812, eval/balanced_acc: 0.8155, eval/precision: 0.8155, eval/recall: 0.8155, eval/F1: 0.8122, lr: 0.0170, train/prefecth_time: 0.0061 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 07:06:32,937 INFO] select_ulb_dist:
[2.000e+00 6.800e+01 1.180e+02 2.630e+02 3.480e+02 8.960e+02 4.454e+03
 5.930e+02 2.381e+03 1.975e+03]
[2025-04-20 07:06:32,939 INFO] lb_select_ulb_dist:
[ 402.  307.  261.  349.  399.  926. 4472.  604. 2387. 1979.]
[2025-04-20 07:06:32,953 INFO] 180: Update the labeled data.
[2025-04-20 07:07:58,843 INFO] 184576 iteration USE_EMA: True, train/sup_loss: 0.1598, train/aux_loss: 0.1981, train/total_loss: 0.3578, train/util_ratio: 0.7545, train/run_time: 0.2410, lr: 0.0170, train/prefecth_time: 0.0547 
[2025-04-20 07:08:55,877 INFO] 184832 iteration USE_EMA: True, train/sup_loss: 0.2520, train/aux_loss: 0.0983, train/total_loss: 0.3503, train/util_ratio: 0.8304, train/run_time: 0.1730, lr: 0.0170, train/prefecth_time: 0.0608 
[2025-04-20 07:09:52,383 INFO] 185088 iteration USE_EMA: True, train/sup_loss: 0.1474, train/aux_loss: 0.1080, train/total_loss: 0.2554, train/util_ratio: 0.8348, train/run_time: 0.1752, lr: 0.0169, train/prefecth_time: 0.0634 
[2025-04-20 07:10:48,878 INFO] validating...
[2025-04-20 07:10:51,465 INFO] confusion matrix:
[[0.886 0.002 0.024 0.005 0.008 0.005 0.003 0.004 0.044 0.019]
 [0.007 0.929 0.002 0.    0.    0.001 0.002 0.    0.01  0.049]
 [0.087 0.001 0.652 0.025 0.056 0.077 0.076 0.015 0.006 0.005]
 [0.033 0.003 0.056 0.502 0.044 0.233 0.088 0.019 0.011 0.011]
 [0.021 0.002 0.039 0.02  0.801 0.034 0.03  0.05  0.002 0.001]
 [0.011 0.001 0.023 0.085 0.027 0.789 0.014 0.046 0.002 0.002]
 [0.008 0.    0.006 0.034 0.005 0.003 0.94  0.001 0.002 0.001]
 [0.011 0.002 0.029 0.024 0.033 0.049 0.005 0.84  0.004 0.003]
 [0.018 0.007 0.004 0.002 0.002 0.001 0.002 0.    0.867 0.097]
 [0.012 0.019 0.001 0.006 0.001 0.001 0.001 0.    0.009 0.95 ]]
[2025-04-20 07:10:52,016 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 07:10:52,017 INFO] 185344 iteration, USE_EMA: True, train/sup_loss: 0.1415, train/aux_loss: 0.1152, train/total_loss: 0.2567, train/util_ratio: 0.8371, train/run_time: 0.1668, eval/loss: 0.7659, eval/top-1-acc: 0.8156, eval/top-5-acc: 0.9804, eval/balanced_acc: 0.8156, eval/precision: 0.8159, eval/recall: 0.8156, eval/F1: 0.8116, lr: 0.0169, train/prefecth_time: 0.0540 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 07:11:50,923 INFO] 185600 iteration USE_EMA: True, train/sup_loss: 0.1561, train/aux_loss: 0.0949, train/total_loss: 0.2510, train/util_ratio: 0.8415, train/run_time: 0.2483, lr: 0.0169, train/prefecth_time: 0.0042 
[2025-04-20 07:12:47,253 INFO] 185856 iteration USE_EMA: True, train/sup_loss: 0.2519, train/aux_loss: 0.1016, train/total_loss: 0.3535, train/util_ratio: 0.8192, train/run_time: 0.2048, lr: 0.0168, train/prefecth_time: 0.0042 
[2025-04-20 07:13:43,596 INFO] 186112 iteration USE_EMA: True, train/sup_loss: 0.1456, train/aux_loss: 0.1074, train/total_loss: 0.2531, train/util_ratio: 0.8504, train/run_time: 0.1644, lr: 0.0168, train/prefecth_time: 0.0043 
[2025-04-20 07:14:40,249 INFO] validating...
[2025-04-20 07:14:42,726 INFO] confusion matrix:
[[0.89  0.002 0.023 0.006 0.006 0.004 0.005 0.005 0.04  0.019]
 [0.005 0.925 0.003 0.    0.    0.001 0.001 0.    0.01  0.055]
 [0.082 0.001 0.643 0.026 0.061 0.077 0.082 0.017 0.006 0.005]
 [0.034 0.003 0.05  0.498 0.043 0.241 0.09  0.018 0.01  0.013]
 [0.024 0.002 0.039 0.019 0.798 0.028 0.032 0.057 0.001 0.   ]
 [0.011 0.001 0.025 0.081 0.025 0.791 0.014 0.048 0.002 0.002]
 [0.008 0.    0.005 0.033 0.006 0.003 0.942 0.001 0.001 0.001]
 [0.011 0.002 0.028 0.028 0.031 0.056 0.005 0.833 0.004 0.002]
 [0.018 0.006 0.006 0.001 0.002 0.001 0.002 0.    0.866 0.098]
 [0.009 0.018 0.001 0.004 0.001 0.001 0.001 0.    0.008 0.957]]
[2025-04-20 07:14:43,077 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 07:14:43,077 INFO] 186368 iteration, USE_EMA: True, train/sup_loss: 0.1359, train/aux_loss: 0.1199, train/total_loss: 0.2558, train/util_ratio: 0.8415, train/run_time: 0.1563, eval/loss: 0.7612, eval/top-1-acc: 0.8143, eval/top-5-acc: 0.9796, eval/balanced_acc: 0.8143, eval/precision: 0.8151, eval/recall: 0.8143, eval/F1: 0.8101, lr: 0.0168, train/prefecth_time: 0.0087 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 07:15:41,326 INFO] 186624 iteration USE_EMA: True, train/sup_loss: 0.1618, train/aux_loss: 0.1852, train/total_loss: 0.3470, train/util_ratio: 0.7656, train/run_time: 0.1625, lr: 0.0167, train/prefecth_time: 0.0196 
[2025-04-20 07:16:37,531 INFO] 186880 iteration USE_EMA: True, train/sup_loss: 0.3181, train/aux_loss: 0.4652, train/total_loss: 0.7833, train/util_ratio: 0.6161, train/run_time: 0.2314, lr: 0.0167, train/prefecth_time: 0.0041 
[2025-04-20 07:17:34,211 INFO] 187136 iteration USE_EMA: True, train/sup_loss: 0.1830, train/aux_loss: 0.3072, train/total_loss: 0.4901, train/util_ratio: 0.6942, train/run_time: 0.3650, lr: 0.0167, train/prefecth_time: 0.0072 
[2025-04-20 07:18:30,574 INFO] validating...
[2025-04-20 07:18:33,052 INFO] confusion matrix:
[[0.85  0.007 0.043 0.003 0.015 0.006 0.006 0.008 0.041 0.021]
 [0.004 0.935 0.001 0.001 0.001 0.001 0.004 0.    0.01  0.043]
 [0.052 0.    0.695 0.023 0.083 0.056 0.07  0.009 0.004 0.008]
 [0.017 0.004 0.073 0.491 0.069 0.206 0.105 0.018 0.008 0.009]
 [0.01  0.    0.048 0.015 0.856 0.018 0.026 0.025 0.001 0.001]
 [0.005 0.002 0.044 0.078 0.035 0.774 0.018 0.043 0.    0.001]
 [0.004 0.    0.013 0.035 0.005 0.003 0.937 0.001 0.001 0.001]
 [0.008 0.001 0.042 0.025 0.048 0.049 0.007 0.815 0.003 0.002]
 [0.016 0.004 0.006 0.003 0.003 0.    0.002 0.    0.848 0.118]
 [0.008 0.028 0.002 0.003 0.001 0.001 0.002 0.001 0.009 0.945]]
[2025-04-20 07:18:33,408 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 07:18:33,409 INFO] 187392 iteration, USE_EMA: True, train/sup_loss: 0.1908, train/aux_loss: 0.3395, train/total_loss: 0.5304, train/util_ratio: 0.7321, train/run_time: 0.1778, eval/loss: 0.7372, eval/top-1-acc: 0.8146, eval/top-5-acc: 0.9842, eval/balanced_acc: 0.8146, eval/precision: 0.8153, eval/recall: 0.8146, eval/F1: 0.8109, lr: 0.0166, train/prefecth_time: 0.0023 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 07:19:32,306 INFO] 187648 iteration USE_EMA: True, train/sup_loss: 0.1803, train/aux_loss: 0.1794, train/total_loss: 0.3597, train/util_ratio: 0.8192, train/run_time: 0.2148, lr: 0.0166, train/prefecth_time: 0.0766 
[2025-04-20 07:20:28,740 INFO] 187904 iteration USE_EMA: True, train/sup_loss: 0.2569, train/aux_loss: 0.1385, train/total_loss: 0.3953, train/util_ratio: 0.8438, train/run_time: 0.1676, lr: 0.0166, train/prefecth_time: 0.0068 
[2025-04-20 07:21:24,895 INFO] 188160 iteration USE_EMA: True, train/sup_loss: 0.1479, train/aux_loss: 0.1300, train/total_loss: 0.2778, train/util_ratio: 0.8147, train/run_time: 0.1675, lr: 0.0165, train/prefecth_time: 0.0092 
[2025-04-20 07:22:21,061 INFO] validating...
[2025-04-20 07:22:23,606 INFO] confusion matrix:
[[0.875 0.006 0.031 0.001 0.008 0.007 0.006 0.003 0.039 0.024]
 [0.005 0.927 0.003 0.002 0.    0.001 0.005 0.    0.011 0.046]
 [0.067 0.001 0.673 0.025 0.072 0.061 0.078 0.012 0.003 0.008]
 [0.029 0.005 0.061 0.493 0.054 0.218 0.102 0.018 0.004 0.016]
 [0.018 0.001 0.043 0.019 0.815 0.027 0.035 0.038 0.003 0.001]
 [0.01  0.004 0.031 0.077 0.028 0.777 0.02  0.049 0.002 0.002]
 [0.005 0.    0.009 0.035 0.004 0.003 0.941 0.001 0.001 0.001]
 [0.012 0.001 0.034 0.023 0.039 0.053 0.007 0.825 0.003 0.003]
 [0.017 0.004 0.004 0.    0.003 0.    0.002 0.    0.855 0.115]
 [0.01  0.024 0.001 0.003 0.001 0.001 0.002 0.    0.007 0.951]]
[2025-04-20 07:22:24,095 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 07:22:24,096 INFO] 188416 iteration, USE_EMA: True, train/sup_loss: 0.1393, train/aux_loss: 0.1232, train/total_loss: 0.2625, train/util_ratio: 0.8237, train/run_time: 0.1544, eval/loss: 0.7698, eval/top-1-acc: 0.8132, eval/top-5-acc: 0.9815, eval/balanced_acc: 0.8132, eval/precision: 0.8138, eval/recall: 0.8132, eval/F1: 0.8092, lr: 0.0165, train/prefecth_time: 0.0657 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 07:23:22,498 INFO] 188672 iteration USE_EMA: True, train/sup_loss: 0.1506, train/aux_loss: 0.1020, train/total_loss: 0.2526, train/util_ratio: 0.8415, train/run_time: 0.1734, lr: 0.0165, train/prefecth_time: 0.0086 
[2025-04-20 07:24:19,459 INFO] 188928 iteration USE_EMA: True, train/sup_loss: 0.2532, train/aux_loss: 0.1710, train/total_loss: 0.4241, train/util_ratio: 0.8326, train/run_time: 0.1663, lr: 0.0164, train/prefecth_time: 0.0685 
[2025-04-20 07:25:15,707 INFO] 189184 iteration USE_EMA: True, train/sup_loss: 0.1464, train/aux_loss: 0.0902, train/total_loss: 0.2367, train/util_ratio: 0.8460, train/run_time: 0.1730, lr: 0.0164, train/prefecth_time: 0.0447 
[2025-04-20 07:26:12,373 INFO] validating...
[2025-04-20 07:26:15,071 INFO] confusion matrix:
[[0.875 0.007 0.031 0.004 0.007 0.006 0.006 0.002 0.04  0.022]
 [0.005 0.926 0.003 0.001 0.    0.001 0.006 0.    0.01  0.048]
 [0.073 0.001 0.657 0.028 0.067 0.063 0.086 0.013 0.005 0.007]
 [0.029 0.006 0.055 0.498 0.049 0.226 0.1   0.019 0.005 0.013]
 [0.015 0.    0.049 0.018 0.801 0.03  0.036 0.046 0.004 0.001]
 [0.01  0.004 0.031 0.077 0.028 0.777 0.018 0.052 0.002 0.001]
 [0.006 0.    0.007 0.034 0.004 0.003 0.943 0.001 0.001 0.001]
 [0.013 0.001 0.03  0.023 0.038 0.056 0.007 0.827 0.003 0.002]
 [0.016 0.006 0.003 0.002 0.003 0.001 0.002 0.    0.862 0.105]
 [0.01  0.024 0.002 0.002 0.001 0.002 0.001 0.    0.008 0.95 ]]
[2025-04-20 07:26:16,002 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 07:26:16,002 INFO] 189440 iteration, USE_EMA: True, train/sup_loss: 0.1341, train/aux_loss: 0.1273, train/total_loss: 0.2614, train/util_ratio: 0.8571, train/run_time: 0.1545, eval/loss: 0.7699, eval/top-1-acc: 0.8116, eval/top-5-acc: 0.9809, eval/balanced_acc: 0.8116, eval/precision: 0.8120, eval/recall: 0.8116, eval/F1: 0.8076, lr: 0.0164, train/prefecth_time: 0.0069 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 07:28:36,616 INFO] select_ulb_dist:
[   0.   29.  118.  263.  348.  896. 4454.  593. 2381. 1975.]
[2025-04-20 07:28:36,618 INFO] lb_select_ulb_dist:
[ 400.  268.  261.  349.  399.  926. 4472.  604. 2387. 1979.]
[2025-04-20 07:28:36,635 INFO] 185: Update the labeled data.
[2025-04-20 07:30:01,452 INFO] 189696 iteration USE_EMA: True, train/sup_loss: 0.1001, train/aux_loss: 0.1894, train/total_loss: 0.2895, train/util_ratio: 0.7835, train/run_time: 0.1729, lr: 0.0163, train/prefecth_time: 0.0572 
[2025-04-20 07:30:58,722 INFO] 189952 iteration USE_EMA: True, train/sup_loss: 0.2377, train/aux_loss: 0.1610, train/total_loss: 0.3987, train/util_ratio: 0.8304, train/run_time: 0.1786, lr: 0.0163, train/prefecth_time: 0.0122 
[2025-04-20 07:31:56,258 INFO] 190208 iteration USE_EMA: True, train/sup_loss: 0.0847, train/aux_loss: 0.1491, train/total_loss: 0.2338, train/util_ratio: 0.8326, train/run_time: 0.1721, lr: 0.0163, train/prefecth_time: 0.0064 
[2025-04-20 07:32:53,697 INFO] validating...
[2025-04-20 07:32:56,193 INFO] confusion matrix:
[[0.869 0.006 0.031 0.006 0.007 0.009 0.005 0.005 0.041 0.021]
 [0.005 0.934 0.002 0.001 0.    0.001 0.004 0.    0.01  0.043]
 [0.071 0.001 0.665 0.026 0.068 0.066 0.077 0.014 0.004 0.008]
 [0.024 0.006 0.055 0.519 0.051 0.223 0.082 0.017 0.005 0.018]
 [0.014 0.001 0.042 0.021 0.815 0.028 0.036 0.04  0.002 0.001]
 [0.01  0.004 0.03  0.082 0.028 0.782 0.014 0.049 0.    0.001]
 [0.006 0.    0.006 0.038 0.008 0.001 0.938 0.001 0.001 0.001]
 [0.013 0.001 0.029 0.027 0.03  0.051 0.007 0.837 0.003 0.002]
 [0.015 0.006 0.002 0.003 0.003 0.001 0.002 0.    0.863 0.105]
 [0.005 0.023 0.002 0.005 0.001 0.001 0.    0.    0.007 0.956]]
[2025-04-20 07:32:56,593 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 07:32:56,594 INFO] 190464 iteration, USE_EMA: True, train/sup_loss: 0.6207, train/aux_loss: 0.6887, train/total_loss: 1.3094, train/util_ratio: 0.5938, train/run_time: 0.2465, eval/loss: 0.7712, eval/top-1-acc: 0.8178, eval/top-5-acc: 0.9812, eval/balanced_acc: 0.8178, eval/precision: 0.8178, eval/recall: 0.8178, eval/F1: 0.8143, lr: 0.0162, train/prefecth_time: 0.0043 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 07:33:54,934 INFO] 190720 iteration USE_EMA: True, train/sup_loss: 0.1179, train/aux_loss: 0.3211, train/total_loss: 0.4390, train/util_ratio: 0.6853, train/run_time: 0.1645, lr: 0.0162, train/prefecth_time: 0.0074 
[2025-04-20 07:34:51,243 INFO] 190976 iteration USE_EMA: True, train/sup_loss: 0.2877, train/aux_loss: 0.2944, train/total_loss: 0.5821, train/util_ratio: 0.7433, train/run_time: 0.1610, lr: 0.0162, train/prefecth_time: 0.0067 
[2025-04-20 07:35:47,120 INFO] 191232 iteration USE_EMA: True, train/sup_loss: 0.0805, train/aux_loss: 0.1754, train/total_loss: 0.2559, train/util_ratio: 0.7924, train/run_time: 0.1923, lr: 0.0161, train/prefecth_time: 0.0279 
[2025-04-20 07:36:43,512 INFO] validating...
[2025-04-20 07:36:45,990 INFO] confusion matrix:
[[0.859 0.006 0.035 0.006 0.007 0.008 0.006 0.005 0.049 0.019]
 [0.004 0.937 0.002 0.001 0.    0.001 0.005 0.    0.006 0.044]
 [0.066 0.001 0.686 0.026 0.065 0.065 0.07  0.01  0.004 0.007]
 [0.021 0.005 0.062 0.52  0.052 0.216 0.09  0.016 0.004 0.014]
 [0.013 0.    0.047 0.021 0.831 0.026 0.027 0.034 0.001 0.   ]
 [0.008 0.003 0.034 0.082 0.028 0.773 0.022 0.048 0.001 0.001]
 [0.005 0.    0.013 0.038 0.003 0.002 0.937 0.001 0.001 0.   ]
 [0.01  0.001 0.029 0.027 0.036 0.054 0.008 0.83  0.003 0.002]
 [0.018 0.005 0.004 0.005 0.002 0.001 0.002 0.    0.858 0.105]
 [0.007 0.022 0.003 0.003 0.001 0.001 0.002 0.    0.008 0.953]]
[2025-04-20 07:36:46,324 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 07:36:46,325 INFO] 191488 iteration, USE_EMA: True, train/sup_loss: 0.2087, train/aux_loss: 0.1312, train/total_loss: 0.3398, train/util_ratio: 0.8170, train/run_time: 0.1724, eval/loss: 0.7585, eval/top-1-acc: 0.8184, eval/top-5-acc: 0.9816, eval/balanced_acc: 0.8184, eval/precision: 0.8184, eval/recall: 0.8184, eval/F1: 0.8153, lr: 0.0161, train/prefecth_time: 0.0062 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 07:37:44,998 INFO] 191744 iteration USE_EMA: True, train/sup_loss: 0.0989, train/aux_loss: 0.1268, train/total_loss: 0.2257, train/util_ratio: 0.8549, train/run_time: 0.1581, lr: 0.0161, train/prefecth_time: 0.0072 
[2025-04-20 07:38:41,267 INFO] 192000 iteration USE_EMA: True, train/sup_loss: 0.2277, train/aux_loss: 0.1567, train/total_loss: 0.3844, train/util_ratio: 0.8080, train/run_time: 0.1609, lr: 0.0160, train/prefecth_time: 0.0087 
[2025-04-20 07:39:37,889 INFO] 192256 iteration USE_EMA: True, train/sup_loss: 0.0809, train/aux_loss: 0.1358, train/total_loss: 0.2166, train/util_ratio: 0.8281, train/run_time: 0.1694, lr: 0.0160, train/prefecth_time: 0.0311 
[2025-04-20 07:40:34,759 INFO] validating...
[2025-04-20 07:40:37,337 INFO] confusion matrix:
[[0.866 0.004 0.028 0.007 0.007 0.007 0.006 0.004 0.05  0.021]
 [0.004 0.937 0.002 0.    0.    0.001 0.003 0.    0.007 0.046]
 [0.072 0.003 0.678 0.023 0.059 0.064 0.076 0.015 0.004 0.006]
 [0.03  0.006 0.057 0.508 0.045 0.228 0.089 0.021 0.003 0.013]
 [0.019 0.001 0.051 0.02  0.8   0.029 0.032 0.046 0.002 0.   ]
 [0.01  0.003 0.034 0.082 0.023 0.774 0.021 0.052 0.001 0.   ]
 [0.005 0.001 0.008 0.035 0.003 0.004 0.941 0.001 0.002 0.   ]
 [0.01  0.002 0.028 0.024 0.034 0.055 0.006 0.837 0.001 0.003]
 [0.018 0.007 0.004 0.003 0.003 0.003 0.001 0.    0.863 0.098]
 [0.007 0.022 0.001 0.004 0.    0.001 0.002 0.    0.007 0.956]]
[2025-04-20 07:40:37,688 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 07:40:37,690 INFO] 192512 iteration, USE_EMA: True, train/sup_loss: 0.2053, train/aux_loss: 0.0771, train/total_loss: 0.2824, train/util_ratio: 0.8326, train/run_time: 0.1781, eval/loss: 0.7636, eval/top-1-acc: 0.8160, eval/top-5-acc: 0.9799, eval/balanced_acc: 0.8160, eval/precision: 0.8159, eval/recall: 0.8160, eval/F1: 0.8124, lr: 0.0160, train/prefecth_time: 0.0472 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 07:41:36,024 INFO] 192768 iteration USE_EMA: True, train/sup_loss: 0.0989, train/aux_loss: 0.1243, train/total_loss: 0.2232, train/util_ratio: 0.8259, train/run_time: 0.1814, lr: 0.0159, train/prefecth_time: 0.0062 
[2025-04-20 07:42:32,156 INFO] 193024 iteration USE_EMA: True, train/sup_loss: 0.2286, train/aux_loss: 0.1187, train/total_loss: 0.3473, train/util_ratio: 0.8348, train/run_time: 0.1563, lr: 0.0159, train/prefecth_time: 0.0993 
[2025-04-20 07:43:28,081 INFO] 193280 iteration USE_EMA: True, train/sup_loss: 0.0831, train/aux_loss: 0.1215, train/total_loss: 0.2046, train/util_ratio: 0.8326, train/run_time: 0.1653, lr: 0.0159, train/prefecth_time: 0.0065 
[2025-04-20 07:44:24,276 INFO] validating...
[2025-04-20 07:44:26,666 INFO] confusion matrix:
[[0.871 0.005 0.025 0.004 0.009 0.008 0.005 0.005 0.047 0.021]
 [0.005 0.942 0.002 0.    0.    0.001 0.002 0.    0.006 0.042]
 [0.078 0.002 0.664 0.023 0.059 0.068 0.082 0.016 0.003 0.005]
 [0.029 0.005 0.054 0.494 0.043 0.237 0.095 0.026 0.007 0.01 ]
 [0.02  0.003 0.044 0.019 0.801 0.025 0.036 0.05  0.002 0.   ]
 [0.011 0.003 0.031 0.079 0.023 0.773 0.025 0.053 0.001 0.001]
 [0.005 0.001 0.005 0.032 0.004 0.003 0.946 0.001 0.002 0.001]
 [0.011 0.001 0.025 0.022 0.034 0.05  0.006 0.846 0.003 0.002]
 [0.016 0.008 0.004 0.005 0.003 0.003 0.001 0.    0.856 0.104]
 [0.008 0.021 0.002 0.002 0.    0.001 0.    0.    0.007 0.959]]
[2025-04-20 07:44:26,991 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 07:44:26,992 INFO] 193536 iteration, USE_EMA: True, train/sup_loss: 0.2094, train/aux_loss: 0.0553, train/total_loss: 0.2647, train/util_ratio: 0.8683, train/run_time: 0.1722, eval/loss: 0.7644, eval/top-1-acc: 0.8152, eval/top-5-acc: 0.9786, eval/balanced_acc: 0.8152, eval/precision: 0.8153, eval/recall: 0.8152, eval/F1: 0.8109, lr: 0.0158, train/prefecth_time: 0.0047 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 07:45:24,834 INFO] 193792 iteration USE_EMA: True, train/sup_loss: 0.1034, train/aux_loss: 0.0737, train/total_loss: 0.1771, train/util_ratio: 0.8348, train/run_time: 0.1542, lr: 0.0158, train/prefecth_time: 0.0069 
[2025-04-20 07:46:20,747 INFO] 194048 iteration USE_EMA: True, train/sup_loss: 0.2312, train/aux_loss: 0.1097, train/total_loss: 0.3409, train/util_ratio: 0.8393, train/run_time: 0.1788, lr: 0.0158, train/prefecth_time: 0.0941 
[2025-04-20 07:47:16,578 INFO] 194304 iteration USE_EMA: True, train/sup_loss: 0.2747, train/aux_loss: 0.8071, train/total_loss: 1.0818, train/util_ratio: 0.4688, train/run_time: 0.1674, lr: 0.0157, train/prefecth_time: 0.0063 
[2025-04-20 07:48:12,138 INFO] validating...
[2025-04-20 07:48:14,662 INFO] confusion matrix:
[[0.849 0.006 0.042 0.005 0.01  0.007 0.006 0.004 0.048 0.023]
 [0.005 0.942 0.002 0.    0.    0.001 0.003 0.    0.007 0.04 ]
 [0.062 0.001 0.682 0.028 0.065 0.065 0.076 0.011 0.005 0.005]
 [0.018 0.005 0.067 0.516 0.054 0.216 0.083 0.018 0.008 0.015]
 [0.013 0.001 0.048 0.021 0.82  0.021 0.033 0.042 0.001 0.   ]
 [0.01  0.003 0.036 0.078 0.028 0.777 0.018 0.047 0.001 0.002]
 [0.005 0.001 0.012 0.035 0.004 0.001 0.938 0.001 0.001 0.002]
 [0.008 0.001 0.033 0.025 0.037 0.052 0.006 0.833 0.003 0.002]
 [0.015 0.007 0.003 0.003 0.003 0.    0.002 0.    0.862 0.105]
 [0.008 0.021 0.003 0.003 0.    0.001 0.001 0.    0.007 0.956]]
[2025-04-20 07:48:14,977 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 07:48:14,978 INFO] 194560 iteration, USE_EMA: True, train/sup_loss: 0.3362, train/aux_loss: 0.4687, train/total_loss: 0.8049, train/util_ratio: 0.6875, train/run_time: 0.1747, eval/loss: 0.7304, eval/top-1-acc: 0.8175, eval/top-5-acc: 0.9822, eval/balanced_acc: 0.8175, eval/precision: 0.8171, eval/recall: 0.8175, eval/F1: 0.8141, lr: 0.0157, train/prefecth_time: 0.0048 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 07:50:29,545 INFO] select_ulb_dist:
[0.000e+00 4.000e+00 1.180e+02 2.630e+02 3.480e+02 8.960e+02 4.454e+03
 5.930e+02 2.381e+03 1.975e+03]
[2025-04-20 07:50:29,547 INFO] lb_select_ulb_dist:
[ 400.  243.  261.  349.  399.  926. 4472.  604. 2387. 1979.]
[2025-04-20 07:50:29,561 INFO] 190: Update the labeled data.
[2025-04-20 07:51:54,402 INFO] 194816 iteration USE_EMA: True, train/sup_loss: 0.1408, train/aux_loss: 0.2436, train/total_loss: 0.3843, train/util_ratio: 0.7500, train/run_time: 0.1695, lr: 0.0157, train/prefecth_time: 0.0075 
[2025-04-20 07:52:50,805 INFO] 195072 iteration USE_EMA: True, train/sup_loss: 0.2165, train/aux_loss: 0.1701, train/total_loss: 0.3866, train/util_ratio: 0.7991, train/run_time: 0.1655, lr: 0.0156, train/prefecth_time: 0.0107 
[2025-04-20 07:53:47,530 INFO] 195328 iteration USE_EMA: True, train/sup_loss: 0.1202, train/aux_loss: 0.0981, train/total_loss: 0.2183, train/util_ratio: 0.8259, train/run_time: 0.1538, lr: 0.0156, train/prefecth_time: 0.0104 
[2025-04-20 07:54:43,718 INFO] validating...
[2025-04-20 07:54:46,171 INFO] confusion matrix:
[[0.846 0.007 0.04  0.005 0.011 0.004 0.008 0.005 0.053 0.021]
 [0.003 0.927 0.002 0.001 0.    0.001 0.009 0.    0.012 0.045]
 [0.054 0.    0.681 0.026 0.071 0.058 0.089 0.011 0.005 0.005]
 [0.017 0.002 0.077 0.5   0.068 0.191 0.11  0.018 0.007 0.01 ]
 [0.006 0.    0.049 0.018 0.851 0.015 0.034 0.026 0.001 0.   ]
 [0.006 0.002 0.041 0.082 0.038 0.762 0.026 0.041 0.001 0.001]
 [0.005 0.    0.012 0.034 0.006 0.    0.939 0.001 0.001 0.002]
 [0.007 0.001 0.039 0.025 0.049 0.044 0.006 0.821 0.003 0.005]
 [0.018 0.005 0.002 0.005 0.004 0.    0.    0.    0.866 0.1  ]
 [0.009 0.017 0.003 0.004 0.    0.001 0.002 0.    0.009 0.955]]
[2025-04-20 07:54:46,542 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 07:54:46,543 INFO] 195584 iteration, USE_EMA: True, train/sup_loss: 0.0992, train/aux_loss: 0.1258, train/total_loss: 0.2249, train/util_ratio: 0.8326, train/run_time: 0.1559, eval/loss: 0.7329, eval/top-1-acc: 0.8148, eval/top-5-acc: 0.9808, eval/balanced_acc: 0.8148, eval/precision: 0.8149, eval/recall: 0.8148, eval/F1: 0.8111, lr: 0.0156, train/prefecth_time: 0.0861 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 07:55:44,464 INFO] 195840 iteration USE_EMA: True, train/sup_loss: 0.1329, train/aux_loss: 0.0757, train/total_loss: 0.2086, train/util_ratio: 0.8438, train/run_time: 0.1796, lr: 0.0155, train/prefecth_time: 0.0100 
[2025-04-20 07:56:40,044 INFO] 196096 iteration USE_EMA: True, train/sup_loss: 0.2102, train/aux_loss: 0.0645, train/total_loss: 0.2747, train/util_ratio: 0.8638, train/run_time: 0.2037, lr: 0.0155, train/prefecth_time: 0.0054 
[2025-04-20 07:57:36,380 INFO] 196352 iteration USE_EMA: True, train/sup_loss: 0.1137, train/aux_loss: 0.1017, train/total_loss: 0.2154, train/util_ratio: 0.8504, train/run_time: 0.2263, lr: 0.0155, train/prefecth_time: 0.0087 
[2025-04-20 07:58:32,208 INFO] validating...
[2025-04-20 07:58:34,968 INFO] confusion matrix:
[[0.865 0.005 0.031 0.003 0.006 0.006 0.009 0.004 0.049 0.022]
 [0.005 0.935 0.002 0.001 0.    0.001 0.003 0.    0.009 0.044]
 [0.077 0.001 0.653 0.028 0.06  0.066 0.089 0.015 0.005 0.006]
 [0.024 0.003 0.064 0.482 0.055 0.223 0.109 0.02  0.008 0.012]
 [0.015 0.003 0.041 0.02  0.816 0.023 0.036 0.044 0.002 0.   ]
 [0.006 0.003 0.034 0.075 0.028 0.776 0.024 0.049 0.003 0.002]
 [0.005 0.001 0.008 0.034 0.006 0.002 0.94  0.001 0.001 0.002]
 [0.01  0.002 0.033 0.024 0.041 0.05  0.005 0.826 0.004 0.005]
 [0.017 0.006 0.002 0.006 0.002 0.    0.001 0.    0.867 0.099]
 [0.009 0.018 0.003 0.005 0.    0.001 0.    0.    0.008 0.956]]
[2025-04-20 07:58:35,312 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 07:58:35,313 INFO] 196608 iteration, USE_EMA: True, train/sup_loss: 0.0965, train/aux_loss: 0.1329, train/total_loss: 0.2294, train/util_ratio: 0.8415, train/run_time: 0.1602, eval/loss: 0.7557, eval/top-1-acc: 0.8116, eval/top-5-acc: 0.9792, eval/balanced_acc: 0.8116, eval/precision: 0.8110, eval/recall: 0.8116, eval/F1: 0.8071, lr: 0.0154, train/prefecth_time: 0.0446 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 07:59:33,893 INFO] 196864 iteration USE_EMA: True, train/sup_loss: 0.4420, train/aux_loss: 0.6488, train/total_loss: 1.0908, train/util_ratio: 0.6250, train/run_time: 0.1694, lr: 0.0154, train/prefecth_time: 0.0695 
[2025-04-20 08:00:29,799 INFO] 197120 iteration USE_EMA: True, train/sup_loss: 0.2280, train/aux_loss: 0.2086, train/total_loss: 0.4366, train/util_ratio: 0.7589, train/run_time: 0.1671, lr: 0.0154, train/prefecth_time: 0.0538 
[2025-04-20 08:01:26,251 INFO] 197376 iteration USE_EMA: True, train/sup_loss: 0.1269, train/aux_loss: 0.1798, train/total_loss: 0.3067, train/util_ratio: 0.7924, train/run_time: 0.1623, lr: 0.0153, train/prefecth_time: 0.0065 
[2025-04-20 08:02:22,348 INFO] validating...
[2025-04-20 08:02:25,112 INFO] confusion matrix:
[[0.869 0.005 0.033 0.004 0.007 0.006 0.007 0.005 0.042 0.022]
 [0.006 0.944 0.001 0.    0.    0.001 0.002 0.    0.008 0.038]
 [0.059 0.001 0.694 0.022 0.06  0.065 0.077 0.013 0.003 0.006]
 [0.025 0.004 0.062 0.499 0.053 0.227 0.092 0.02  0.006 0.012]
 [0.014 0.001 0.042 0.02  0.82  0.024 0.035 0.043 0.001 0.   ]
 [0.005 0.002 0.036 0.075 0.028 0.786 0.015 0.05  0.001 0.002]
 [0.006 0.001 0.011 0.037 0.006 0.    0.933 0.003 0.001 0.002]
 [0.008 0.002 0.03  0.021 0.04  0.047 0.006 0.839 0.003 0.004]
 [0.018 0.008 0.003 0.004 0.002 0.    0.    0.    0.858 0.107]
 [0.009 0.025 0.003 0.004 0.    0.002 0.    0.    0.008 0.949]]
[2025-04-20 08:02:25,528 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 08:02:25,530 INFO] 197632 iteration, USE_EMA: True, train/sup_loss: 0.0971, train/aux_loss: 0.1257, train/total_loss: 0.2228, train/util_ratio: 0.8415, train/run_time: 0.1599, eval/loss: 0.7626, eval/top-1-acc: 0.8191, eval/top-5-acc: 0.9797, eval/balanced_acc: 0.8191, eval/precision: 0.8190, eval/recall: 0.8191, eval/F1: 0.8153, lr: 0.0153, train/prefecth_time: 0.0067 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 08:03:23,556 INFO] 197888 iteration USE_EMA: True, train/sup_loss: 0.1341, train/aux_loss: 0.1047, train/total_loss: 0.2388, train/util_ratio: 0.8326, train/run_time: 0.1697, lr: 0.0153, train/prefecth_time: 0.0380 
[2025-04-20 08:04:19,823 INFO] 198144 iteration USE_EMA: True, train/sup_loss: 0.2089, train/aux_loss: 0.1465, train/total_loss: 0.3553, train/util_ratio: 0.8415, train/run_time: 0.1674, lr: 0.0152, train/prefecth_time: 0.0070 
[2025-04-20 08:05:15,573 INFO] 198400 iteration USE_EMA: True, train/sup_loss: 0.1286, train/aux_loss: 0.1070, train/total_loss: 0.2355, train/util_ratio: 0.8214, train/run_time: 0.1623, lr: 0.0152, train/prefecth_time: 0.0072 
[2025-04-20 08:06:11,770 INFO] validating...
[2025-04-20 08:06:14,268 INFO] confusion matrix:
[[0.88  0.004 0.024 0.004 0.007 0.006 0.007 0.003 0.047 0.018]
 [0.004 0.941 0.001 0.    0.    0.001 0.002 0.    0.01  0.041]
 [0.066 0.001 0.672 0.024 0.064 0.063 0.083 0.016 0.005 0.006]
 [0.029 0.004 0.053 0.502 0.04  0.238 0.095 0.021 0.007 0.011]
 [0.016 0.002 0.041 0.02  0.802 0.033 0.039 0.045 0.002 0.   ]
 [0.008 0.002 0.029 0.079 0.028 0.783 0.016 0.052 0.001 0.002]
 [0.008 0.001 0.005 0.038 0.004 0.002 0.938 0.001 0.001 0.002]
 [0.01  0.003 0.019 0.021 0.039 0.053 0.004 0.845 0.003 0.003]
 [0.02  0.009 0.003 0.004 0.002 0.    0.001 0.    0.864 0.097]
 [0.01  0.021 0.001 0.002 0.    0.001 0.002 0.    0.009 0.954]]
[2025-04-20 08:06:14,757 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 08:06:14,758 INFO] 198656 iteration, USE_EMA: True, train/sup_loss: 0.0978, train/aux_loss: 0.1042, train/total_loss: 0.2019, train/util_ratio: 0.8348, train/run_time: 0.1581, eval/loss: 0.7608, eval/top-1-acc: 0.8181, eval/top-5-acc: 0.9764, eval/balanced_acc: 0.8181, eval/precision: 0.8184, eval/recall: 0.8181, eval/F1: 0.8141, lr: 0.0151, train/prefecth_time: 0.0863 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 08:07:13,442 INFO] 198912 iteration USE_EMA: True, train/sup_loss: 0.1299, train/aux_loss: 0.1157, train/total_loss: 0.2456, train/util_ratio: 0.8348, train/run_time: 0.1818, lr: 0.0151, train/prefecth_time: 0.0673 
[2025-04-20 08:08:09,577 INFO] 199168 iteration USE_EMA: True, train/sup_loss: 0.2076, train/aux_loss: 0.1125, train/total_loss: 0.3201, train/util_ratio: 0.8281, train/run_time: 0.1676, lr: 0.0151, train/prefecth_time: 0.0084 
[2025-04-20 08:09:05,689 INFO] 199424 iteration USE_EMA: True, train/sup_loss: 0.1197, train/aux_loss: 0.1105, train/total_loss: 0.2302, train/util_ratio: 0.8214, train/run_time: 0.1856, lr: 0.0150, train/prefecth_time: 0.0389 
[2025-04-20 08:10:01,960 INFO] validating...
[2025-04-20 08:10:04,573 INFO] confusion matrix:
[[0.88  0.004 0.024 0.004 0.005 0.006 0.006 0.004 0.05  0.017]
 [0.004 0.933 0.002 0.    0.    0.001 0.003 0.001 0.011 0.045]
 [0.083 0.001 0.646 0.021 0.064 0.071 0.083 0.018 0.005 0.008]
 [0.03  0.003 0.049 0.496 0.043 0.249 0.087 0.021 0.008 0.014]
 [0.02  0.002 0.034 0.019 0.807 0.028 0.039 0.049 0.002 0.   ]
 [0.01  0.003 0.023 0.076 0.028 0.789 0.016 0.052 0.001 0.002]
 [0.007 0.    0.005 0.037 0.004 0.002 0.941 0.001 0.001 0.002]
 [0.011 0.001 0.02  0.022 0.044 0.056 0.003 0.837 0.002 0.004]
 [0.016 0.006 0.004 0.004 0.002 0.001 0.002 0.    0.865 0.1  ]
 [0.011 0.02  0.001 0.002 0.    0.001 0.001 0.    0.008 0.956]]
[2025-04-20 08:10:04,929 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 08:10:04,929 INFO] 199680 iteration, USE_EMA: True, train/sup_loss: 0.0963, train/aux_loss: 0.1709, train/total_loss: 0.2672, train/util_ratio: 0.8304, train/run_time: 0.1595, eval/loss: 0.7550, eval/top-1-acc: 0.8150, eval/top-5-acc: 0.9774, eval/balanced_acc: 0.8150, eval/precision: 0.8161, eval/recall: 0.8150, eval/F1: 0.8107, lr: 0.0150, train/prefecth_time: 0.0049 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 08:12:24,293 INFO] select_ulb_dist:
[2.000e+00 7.600e+01 1.180e+02 2.630e+02 3.490e+02 8.960e+02 4.454e+03
 5.930e+02 2.381e+03 1.975e+03]
[2025-04-20 08:12:24,294 INFO] lb_select_ulb_dist:
[ 402.  315.  261.  349.  400.  926. 4472.  604. 2387. 1979.]
[2025-04-20 08:12:24,346 INFO] 195: Update the labeled data.
[2025-04-20 08:13:49,723 INFO] 199936 iteration USE_EMA: True, train/sup_loss: 0.1234, train/aux_loss: 0.0902, train/total_loss: 0.2136, train/util_ratio: 0.8571, train/run_time: 0.2343, lr: 0.0150, train/prefecth_time: 0.0953 
[2025-04-20 08:14:46,025 INFO] 200192 iteration USE_EMA: True, train/sup_loss: 0.2613, train/aux_loss: 0.7334, train/total_loss: 0.9947, train/util_ratio: 0.5714, train/run_time: 0.1612, lr: 0.0149, train/prefecth_time: 0.0071 
[2025-04-20 08:15:42,408 INFO] 200448 iteration USE_EMA: True, train/sup_loss: 0.1732, train/aux_loss: 0.4507, train/total_loss: 0.6239, train/util_ratio: 0.6384, train/run_time: 0.1673, lr: 0.0149, train/prefecth_time: 0.0046 
[2025-04-20 08:16:39,151 INFO] validating...
[2025-04-20 08:16:41,781 INFO] confusion matrix:
[[0.867 0.008 0.034 0.004 0.009 0.006 0.007 0.004 0.041 0.02 ]
 [0.006 0.936 0.001 0.002 0.002 0.001 0.001 0.    0.005 0.046]
 [0.058 0.002 0.703 0.018 0.062 0.066 0.072 0.01  0.004 0.005]
 [0.022 0.005 0.073 0.493 0.057 0.225 0.086 0.022 0.006 0.011]
 [0.017 0.001 0.054 0.02  0.817 0.02  0.029 0.04  0.002 0.   ]
 [0.007 0.002 0.043 0.075 0.03  0.775 0.014 0.054 0.    0.   ]
 [0.007 0.    0.012 0.033 0.006 0.001 0.937 0.001 0.001 0.002]
 [0.01  0.001 0.036 0.028 0.041 0.048 0.004 0.827 0.002 0.003]
 [0.018 0.008 0.005 0.003 0.003 0.    0.003 0.    0.854 0.106]
 [0.009 0.021 0.003 0.007 0.    0.001 0.002 0.    0.008 0.949]]
[2025-04-20 08:16:42,217 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 08:16:42,218 INFO] 200704 iteration, USE_EMA: True, train/sup_loss: 0.1926, train/aux_loss: 0.3125, train/total_loss: 0.5050, train/util_ratio: 0.7500, train/run_time: 0.1651, eval/loss: 0.7407, eval/top-1-acc: 0.8158, eval/top-5-acc: 0.9821, eval/balanced_acc: 0.8158, eval/precision: 0.8156, eval/recall: 0.8158, eval/F1: 0.8121, lr: 0.0149, train/prefecth_time: 0.0066 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 08:17:39,869 INFO] 200960 iteration USE_EMA: True, train/sup_loss: 0.1269, train/aux_loss: 0.1688, train/total_loss: 0.2957, train/util_ratio: 0.7835, train/run_time: 0.1724, lr: 0.0148, train/prefecth_time: 0.0093 
[2025-04-20 08:18:35,286 INFO] 201216 iteration USE_EMA: True, train/sup_loss: 0.0970, train/aux_loss: 0.1707, train/total_loss: 0.2677, train/util_ratio: 0.8125, train/run_time: 0.1631, lr: 0.0148, train/prefecth_time: 0.0087 
[2025-04-20 08:19:31,405 INFO] 201472 iteration USE_EMA: True, train/sup_loss: 0.0998, train/aux_loss: 0.1456, train/total_loss: 0.2454, train/util_ratio: 0.8080, train/run_time: 0.2080, lr: 0.0148, train/prefecth_time: 0.0462 
[2025-04-20 08:20:27,020 INFO] validating...
[2025-04-20 08:20:29,738 INFO] confusion matrix:
[[0.866 0.005 0.03  0.004 0.007 0.008 0.008 0.004 0.047 0.021]
 [0.005 0.94  0.001 0.    0.001 0.001 0.002 0.    0.008 0.042]
 [0.069 0.003 0.675 0.021 0.06  0.075 0.08  0.008 0.003 0.006]
 [0.026 0.005 0.068 0.493 0.043 0.239 0.088 0.017 0.004 0.017]
 [0.017 0.002 0.047 0.018 0.811 0.026 0.033 0.044 0.002 0.   ]
 [0.007 0.005 0.032 0.075 0.027 0.784 0.017 0.051 0.002 0.   ]
 [0.006 0.    0.01  0.034 0.006 0.001 0.938 0.001 0.001 0.003]
 [0.013 0.001 0.031 0.029 0.038 0.052 0.005 0.824 0.003 0.004]
 [0.022 0.008 0.004 0.002 0.002 0.    0.001 0.    0.857 0.104]
 [0.012 0.024 0.003 0.004 0.    0.003 0.001 0.    0.008 0.945]]
[2025-04-20 08:20:30,156 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 08:20:30,157 INFO] 201728 iteration, USE_EMA: True, train/sup_loss: 0.1349, train/aux_loss: 0.1399, train/total_loss: 0.2748, train/util_ratio: 0.8237, train/run_time: 0.1647, eval/loss: 0.7703, eval/top-1-acc: 0.8133, eval/top-5-acc: 0.9797, eval/balanced_acc: 0.8133, eval/precision: 0.8138, eval/recall: 0.8133, eval/F1: 0.8094, lr: 0.0147, train/prefecth_time: 0.0045 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 08:21:27,828 INFO] 201984 iteration USE_EMA: True, train/sup_loss: 0.1260, train/aux_loss: 0.1064, train/total_loss: 0.2324, train/util_ratio: 0.8438, train/run_time: 0.1670, lr: 0.0147, train/prefecth_time: 0.0865 
[2025-04-20 08:22:23,469 INFO] 202240 iteration USE_EMA: True, train/sup_loss: 0.0917, train/aux_loss: 0.1190, train/total_loss: 0.2107, train/util_ratio: 0.8371, train/run_time: 0.1526, lr: 0.0147, train/prefecth_time: 0.0066 
[2025-04-20 08:23:19,264 INFO] 202496 iteration USE_EMA: True, train/sup_loss: 0.0974, train/aux_loss: 0.0914, train/total_loss: 0.1889, train/util_ratio: 0.8281, train/run_time: 0.1756, lr: 0.0146, train/prefecth_time: 0.0502 
[2025-04-20 08:24:14,653 INFO] validating...
[2025-04-20 08:24:17,231 INFO] confusion matrix:
[[0.876 0.003 0.028 0.003 0.005 0.008 0.008 0.005 0.045 0.019]
 [0.008 0.929 0.003 0.001 0.    0.001 0.002 0.    0.01  0.046]
 [0.073 0.003 0.666 0.021 0.06  0.074 0.079 0.012 0.004 0.008]
 [0.024 0.007 0.059 0.491 0.039 0.244 0.097 0.019 0.007 0.013]
 [0.018 0.002 0.048 0.018 0.805 0.023 0.038 0.046 0.002 0.   ]
 [0.008 0.004 0.029 0.075 0.026 0.785 0.018 0.053 0.    0.002]
 [0.007 0.    0.007 0.033 0.005 0.002 0.941 0.001 0.002 0.002]
 [0.014 0.001 0.025 0.03  0.035 0.051 0.006 0.83  0.004 0.004]
 [0.02  0.009 0.003 0.002 0.003 0.    0.002 0.    0.857 0.104]
 [0.013 0.022 0.002 0.003 0.    0.002 0.    0.    0.009 0.949]]
[2025-04-20 08:24:17,559 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 08:24:17,560 INFO] 202752 iteration, USE_EMA: True, train/sup_loss: 0.1329, train/aux_loss: 0.1230, train/total_loss: 0.2559, train/util_ratio: 0.8080, train/run_time: 0.1682, eval/loss: 0.7730, eval/top-1-acc: 0.8129, eval/top-5-acc: 0.9791, eval/balanced_acc: 0.8129, eval/precision: 0.8136, eval/recall: 0.8129, eval/F1: 0.8088, lr: 0.0146, train/prefecth_time: 0.0057 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 08:25:15,899 INFO] 203008 iteration USE_EMA: True, train/sup_loss: 0.1236, train/aux_loss: 0.1080, train/total_loss: 0.2316, train/util_ratio: 0.8527, train/run_time: 0.2922, lr: 0.0146, train/prefecth_time: 0.0066 
[2025-04-20 08:26:10,893 INFO] 203264 iteration USE_EMA: True, train/sup_loss: 0.0937, train/aux_loss: 0.1227, train/total_loss: 0.2164, train/util_ratio: 0.8237, train/run_time: 0.1562, lr: 0.0145, train/prefecth_time: 0.0062 
[2025-04-20 08:27:06,466 INFO] 203520 iteration USE_EMA: True, train/sup_loss: 0.0997, train/aux_loss: 0.1130, train/total_loss: 0.2127, train/util_ratio: 0.8460, train/run_time: 0.1919, lr: 0.0145, train/prefecth_time: 0.0085 
[2025-04-20 08:28:01,994 INFO] validating...
[2025-04-20 08:28:05,799 INFO] confusion matrix:
[[0.877 0.005 0.027 0.002 0.007 0.006 0.006 0.006 0.046 0.018]
 [0.007 0.929 0.002 0.001 0.    0.001 0.002 0.    0.011 0.047]
 [0.072 0.003 0.667 0.019 0.061 0.076 0.078 0.014 0.004 0.006]
 [0.027 0.011 0.06  0.476 0.04  0.251 0.094 0.02  0.007 0.014]
 [0.014 0.001 0.049 0.017 0.805 0.026 0.035 0.051 0.002 0.   ]
 [0.01  0.002 0.03  0.073 0.028 0.787 0.016 0.052 0.    0.002]
 [0.006 0.    0.005 0.03  0.005 0.003 0.947 0.001 0.001 0.002]
 [0.013 0.001 0.032 0.027 0.037 0.045 0.006 0.829 0.005 0.005]
 [0.02  0.009 0.003 0.003 0.003 0.002 0.001 0.    0.856 0.103]
 [0.012 0.02  0.001 0.003 0.    0.002 0.001 0.    0.008 0.953]]
[2025-04-20 08:28:06,168 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 08:28:06,169 INFO] 203776 iteration, USE_EMA: True, train/sup_loss: 0.1333, train/aux_loss: 0.1245, train/total_loss: 0.2578, train/util_ratio: 0.8371, train/run_time: 0.1667, eval/loss: 0.7743, eval/top-1-acc: 0.8126, eval/top-5-acc: 0.9769, eval/balanced_acc: 0.8126, eval/precision: 0.8131, eval/recall: 0.8126, eval/F1: 0.8080, lr: 0.0144, train/prefecth_time: 0.0050 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 08:29:03,710 INFO] 204032 iteration USE_EMA: True, train/sup_loss: 0.2357, train/aux_loss: 0.4024, train/total_loss: 0.6381, train/util_ratio: 0.6629, train/run_time: 0.1822, lr: 0.0144, train/prefecth_time: 0.0159 
[2025-04-20 08:29:59,394 INFO] 204288 iteration USE_EMA: True, train/sup_loss: 0.2017, train/aux_loss: 0.4977, train/total_loss: 0.6994, train/util_ratio: 0.5893, train/run_time: 0.1733, lr: 0.0144, train/prefecth_time: 0.0069 
[2025-04-20 08:30:55,268 INFO] 204544 iteration USE_EMA: True, train/sup_loss: 0.1018, train/aux_loss: 0.2380, train/total_loss: 0.3398, train/util_ratio: 0.7813, train/run_time: 0.1806, lr: 0.0143, train/prefecth_time: 0.0059 
[2025-04-20 08:31:50,668 INFO] validating...
[2025-04-20 08:31:53,282 INFO] confusion matrix:
[[0.871 0.005 0.031 0.004 0.011 0.006 0.004 0.005 0.044 0.019]
 [0.003 0.947 0.002 0.    0.    0.001 0.003 0.    0.009 0.035]
 [0.07  0.    0.679 0.023 0.067 0.067 0.071 0.011 0.004 0.008]
 [0.031 0.004 0.066 0.495 0.045 0.221 0.098 0.021 0.006 0.013]
 [0.015 0.    0.049 0.021 0.814 0.021 0.035 0.043 0.002 0.   ]
 [0.006 0.002 0.042 0.078 0.031 0.77  0.02  0.048 0.002 0.001]
 [0.007 0.    0.009 0.034 0.006 0.003 0.938 0.001 0.001 0.001]
 [0.008 0.001 0.029 0.029 0.043 0.043 0.007 0.832 0.004 0.004]
 [0.02  0.011 0.002 0.001 0.002 0.001 0.001 0.    0.859 0.103]
 [0.009 0.025 0.003 0.002 0.001 0.001 0.    0.    0.007 0.952]]
[2025-04-20 08:31:53,783 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 08:31:53,784 INFO] 204800 iteration, USE_EMA: True, train/sup_loss: 0.1421, train/aux_loss: 0.1416, train/total_loss: 0.2836, train/util_ratio: 0.8259, train/run_time: 0.1646, eval/loss: 0.7571, eval/top-1-acc: 0.8157, eval/top-5-acc: 0.9829, eval/balanced_acc: 0.8157, eval/precision: 0.8148, eval/recall: 0.8157, eval/F1: 0.8116, lr: 0.0143, train/prefecth_time: 0.0056 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 08:34:11,994 INFO] select_ulb_dist:
[1.000e+00 5.400e+01 1.180e+02 2.630e+02 3.490e+02 8.960e+02 4.454e+03
 5.930e+02 2.381e+03 1.975e+03]
[2025-04-20 08:34:11,995 INFO] lb_select_ulb_dist:
[ 401.  293.  261.  349.  400.  926. 4472.  604. 2387. 1979.]
[2025-04-20 08:34:12,001 INFO] 200: Update the labeled data.
[2025-04-20 08:35:35,917 INFO] 205056 iteration USE_EMA: True, train/sup_loss: 0.1170, train/aux_loss: 0.1240, train/total_loss: 0.2410, train/util_ratio: 0.8415, train/run_time: 0.1616, lr: 0.0143, train/prefecth_time: 0.1008 
[2025-04-20 08:36:32,060 INFO] 205312 iteration USE_EMA: True, train/sup_loss: 0.1721, train/aux_loss: 0.1323, train/total_loss: 0.3045, train/util_ratio: 0.8326, train/run_time: 0.1735, lr: 0.0142, train/prefecth_time: 0.0733 
[2025-04-20 08:37:28,792 INFO] 205568 iteration USE_EMA: True, train/sup_loss: 0.1978, train/aux_loss: 0.0956, train/total_loss: 0.2934, train/util_ratio: 0.8438, train/run_time: 0.1613, lr: 0.0142, train/prefecth_time: 0.0075 
[2025-04-20 08:38:24,771 INFO] validating...
[2025-04-20 08:38:31,921 INFO] confusion matrix:
[[0.877 0.003 0.029 0.004 0.01  0.007 0.004 0.005 0.045 0.016]
 [0.005 0.94  0.002 0.    0.    0.001 0.003 0.    0.01  0.039]
 [0.072 0.    0.659 0.02  0.065 0.078 0.08  0.013 0.006 0.007]
 [0.031 0.009 0.061 0.46  0.044 0.249 0.101 0.023 0.005 0.017]
 [0.015 0.003 0.047 0.018 0.806 0.025 0.032 0.05  0.004 0.   ]
 [0.007 0.001 0.032 0.074 0.027 0.785 0.017 0.052 0.003 0.002]
 [0.008 0.001 0.007 0.035 0.005 0.003 0.937 0.002 0.001 0.001]
 [0.009 0.001 0.021 0.024 0.037 0.059 0.005 0.838 0.003 0.003]
 [0.02  0.01  0.002 0.003 0.002 0.001 0.002 0.    0.859 0.101]
 [0.009 0.025 0.002 0.002 0.    0.001 0.001 0.    0.007 0.953]]
[2025-04-20 08:38:33,832 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 08:38:33,832 INFO] 205824 iteration, USE_EMA: True, train/sup_loss: 0.1984, train/aux_loss: 0.1167, train/total_loss: 0.3151, train/util_ratio: 0.8348, train/run_time: 0.1604, eval/loss: 0.7712, eval/top-1-acc: 0.8114, eval/top-5-acc: 0.9804, eval/balanced_acc: 0.8114, eval/precision: 0.8114, eval/recall: 0.8114, eval/F1: 0.8064, lr: 0.0142, train/prefecth_time: 0.0058 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 08:39:31,422 INFO] 206080 iteration USE_EMA: True, train/sup_loss: 0.1161, train/aux_loss: 0.1035, train/total_loss: 0.2196, train/util_ratio: 0.8326, train/run_time: 0.1901, lr: 0.0141, train/prefecth_time: 0.0539 
[2025-04-20 08:40:26,858 INFO] 206336 iteration USE_EMA: True, train/sup_loss: 0.1658, train/aux_loss: 0.0888, train/total_loss: 0.2546, train/util_ratio: 0.8125, train/run_time: 0.1816, lr: 0.0141, train/prefecth_time: 0.0100 
[2025-04-20 08:41:21,917 INFO] 206592 iteration USE_EMA: True, train/sup_loss: 0.1931, train/aux_loss: 0.1483, train/total_loss: 0.3414, train/util_ratio: 0.7969, train/run_time: 0.1723, lr: 0.0141, train/prefecth_time: 0.0086 
[2025-04-20 08:42:18,216 INFO] validating...
[2025-04-20 08:42:20,565 INFO] confusion matrix:
[[0.875 0.003 0.031 0.004 0.011 0.006 0.004 0.008 0.042 0.016]
 [0.006 0.942 0.001 0.    0.    0.001 0.003 0.    0.009 0.038]
 [0.075 0.    0.646 0.02  0.059 0.079 0.089 0.019 0.006 0.007]
 [0.031 0.01  0.063 0.456 0.044 0.248 0.104 0.024 0.005 0.015]
 [0.016 0.002 0.042 0.014 0.813 0.03  0.034 0.046 0.003 0.   ]
 [0.008 0.003 0.03  0.07  0.026 0.788 0.014 0.054 0.003 0.004]
 [0.009 0.001 0.006 0.032 0.004 0.002 0.943 0.001 0.001 0.001]
 [0.009 0.002 0.019 0.023 0.035 0.054 0.003 0.849 0.002 0.004]
 [0.021 0.01  0.003 0.001 0.002 0.001 0.002 0.    0.857 0.103]
 [0.012 0.026 0.001 0.002 0.    0.002 0.001 0.    0.007 0.949]]
[2025-04-20 08:42:21,118 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 08:42:21,119 INFO] 206848 iteration, USE_EMA: True, train/sup_loss: 0.1957, train/aux_loss: 0.0785, train/total_loss: 0.2742, train/util_ratio: 0.8549, train/run_time: 0.1608, eval/loss: 0.7708, eval/top-1-acc: 0.8118, eval/top-5-acc: 0.9781, eval/balanced_acc: 0.8118, eval/precision: 0.8123, eval/recall: 0.8118, eval/F1: 0.8064, lr: 0.0140, train/prefecth_time: 0.0055 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 08:43:17,936 INFO] 207104 iteration USE_EMA: True, train/sup_loss: 0.1138, train/aux_loss: 0.1099, train/total_loss: 0.2237, train/util_ratio: 0.8504, train/run_time: 0.1890, lr: 0.0140, train/prefecth_time: 0.0072 
[2025-04-20 08:44:13,176 INFO] 207360 iteration USE_EMA: True, train/sup_loss: 0.1660, train/aux_loss: 0.1444, train/total_loss: 0.3105, train/util_ratio: 0.8192, train/run_time: 0.1723, lr: 0.0139, train/prefecth_time: 0.0065 
[2025-04-20 08:45:08,299 INFO] 207616 iteration USE_EMA: True, train/sup_loss: 0.1936, train/aux_loss: 0.1190, train/total_loss: 0.3126, train/util_ratio: 0.8058, train/run_time: 0.1569, lr: 0.0139, train/prefecth_time: 0.0070 
[2025-04-20 08:46:03,604 INFO] validating...
[2025-04-20 08:46:05,974 INFO] confusion matrix:
[[0.88  0.004 0.03  0.002 0.008 0.005 0.004 0.006 0.045 0.016]
 [0.005 0.942 0.001 0.    0.    0.001 0.002 0.001 0.007 0.041]
 [0.08  0.    0.64  0.02  0.057 0.08  0.091 0.019 0.006 0.007]
 [0.034 0.01  0.058 0.449 0.048 0.253 0.109 0.018 0.005 0.016]
 [0.02  0.002 0.04  0.015 0.81  0.028 0.036 0.046 0.003 0.   ]
 [0.008 0.003 0.029 0.069 0.023 0.794 0.017 0.052 0.002 0.003]
 [0.008 0.001 0.005 0.034 0.004 0.003 0.942 0.001 0.001 0.001]
 [0.011 0.001 0.022 0.027 0.036 0.053 0.003 0.839 0.003 0.005]
 [0.019 0.01  0.001 0.003 0.003 0.001 0.002 0.    0.86  0.101]
 [0.012 0.027 0.    0.002 0.    0.002 0.001 0.    0.007 0.949]]
[2025-04-20 08:46:06,367 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 08:46:06,368 INFO] 207872 iteration, USE_EMA: True, train/sup_loss: 0.1978, train/aux_loss: 0.1105, train/total_loss: 0.3084, train/util_ratio: 0.8504, train/run_time: 0.1604, eval/loss: 0.7703, eval/top-1-acc: 0.8105, eval/top-5-acc: 0.9783, eval/balanced_acc: 0.8105, eval/precision: 0.8111, eval/recall: 0.8105, eval/F1: 0.8049, lr: 0.0139, train/prefecth_time: 0.0173 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 08:47:03,712 INFO] 208128 iteration USE_EMA: True, train/sup_loss: 0.1209, train/aux_loss: 0.1783, train/total_loss: 0.2993, train/util_ratio: 0.7567, train/run_time: 0.1637, lr: 0.0138, train/prefecth_time: 0.0528 
[2025-04-20 08:47:58,925 INFO] 208384 iteration USE_EMA: True, train/sup_loss: 0.4024, train/aux_loss: 0.6598, train/total_loss: 1.0622, train/util_ratio: 0.5603, train/run_time: 0.1698, lr: 0.0138, train/prefecth_time: 0.0067 
[2025-04-20 08:48:54,612 INFO] 208640 iteration USE_EMA: True, train/sup_loss: 0.2503, train/aux_loss: 0.2514, train/total_loss: 0.5017, train/util_ratio: 0.7567, train/run_time: 0.1558, lr: 0.0138, train/prefecth_time: 0.0074 
[2025-04-20 08:49:50,102 INFO] validating...
[2025-04-20 08:49:52,924 INFO] confusion matrix:
[[0.873 0.003 0.033 0.003 0.009 0.004 0.006 0.003 0.043 0.023]
 [0.004 0.943 0.002 0.    0.001 0.001 0.004 0.    0.007 0.038]
 [0.075 0.    0.664 0.017 0.07  0.066 0.086 0.012 0.004 0.006]
 [0.024 0.007 0.064 0.496 0.05  0.217 0.105 0.019 0.007 0.011]
 [0.017 0.002 0.049 0.014 0.818 0.024 0.036 0.037 0.003 0.   ]
 [0.004 0.002 0.037 0.077 0.032 0.78  0.022 0.045 0.    0.001]
 [0.006 0.    0.01  0.034 0.003 0.002 0.941 0.001 0.001 0.002]
 [0.011 0.001 0.034 0.025 0.039 0.053 0.006 0.822 0.004 0.005]
 [0.02  0.008 0.002 0.003 0.003 0.001 0.002 0.    0.858 0.103]
 [0.007 0.02  0.    0.004 0.    0.001 0.002 0.    0.007 0.959]]
[2025-04-20 08:49:53,271 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 08:49:53,271 INFO] 208896 iteration, USE_EMA: True, train/sup_loss: 0.1979, train/aux_loss: 0.1843, train/total_loss: 0.3822, train/util_ratio: 0.8259, train/run_time: 0.3940, eval/loss: 0.7457, eval/top-1-acc: 0.8154, eval/top-5-acc: 0.9818, eval/balanced_acc: 0.8154, eval/precision: 0.8158, eval/recall: 0.8154, eval/F1: 0.8112, lr: 0.0137, train/prefecth_time: 0.0066 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 08:50:51,234 INFO] 209152 iteration USE_EMA: True, train/sup_loss: 0.1157, train/aux_loss: 0.1276, train/total_loss: 0.2433, train/util_ratio: 0.8438, train/run_time: 0.1615, lr: 0.0137, train/prefecth_time: 0.0818 
[2025-04-20 08:51:47,059 INFO] 209408 iteration USE_EMA: True, train/sup_loss: 0.1610, train/aux_loss: 0.1368, train/total_loss: 0.2978, train/util_ratio: 0.7946, train/run_time: 0.1702, lr: 0.0137, train/prefecth_time: 0.0101 
[2025-04-20 08:52:42,160 INFO] 209664 iteration USE_EMA: True, train/sup_loss: 0.1955, train/aux_loss: 0.1300, train/total_loss: 0.3255, train/util_ratio: 0.8415, train/run_time: 0.1825, lr: 0.0136, train/prefecth_time: 0.0203 
[2025-04-20 08:53:37,701 INFO] validating...
[2025-04-20 08:53:40,096 INFO] confusion matrix:
[[0.887 0.004 0.026 0.002 0.006 0.004 0.007 0.003 0.041 0.02 ]
 [0.005 0.944 0.002 0.    0.001 0.001 0.003 0.    0.006 0.038]
 [0.084 0.001 0.653 0.023 0.059 0.067 0.083 0.019 0.006 0.005]
 [0.026 0.006 0.054 0.503 0.039 0.224 0.104 0.021 0.009 0.014]
 [0.021 0.003 0.046 0.016 0.796 0.03  0.039 0.046 0.003 0.   ]
 [0.007 0.002 0.025 0.084 0.028 0.779 0.02  0.054 0.    0.001]
 [0.007 0.001 0.008 0.037 0.004 0.003 0.934 0.002 0.001 0.003]
 [0.012 0.001 0.025 0.026 0.034 0.048 0.003 0.841 0.005 0.005]
 [0.02  0.009 0.003 0.003 0.003 0.    0.002 0.    0.862 0.098]
 [0.01  0.021 0.001 0.001 0.001 0.001 0.002 0.    0.007 0.956]]
[2025-04-20 08:53:40,695 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 08:53:40,696 INFO] 209920 iteration, USE_EMA: True, train/sup_loss: 0.1956, train/aux_loss: 0.1112, train/total_loss: 0.3068, train/util_ratio: 0.8415, train/run_time: 0.1623, eval/loss: 0.7655, eval/top-1-acc: 0.8155, eval/top-5-acc: 0.9793, eval/balanced_acc: 0.8155, eval/precision: 0.8154, eval/recall: 0.8155, eval/F1: 0.8113, lr: 0.0136, train/prefecth_time: 0.0266 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 08:56:00,162 INFO] select_ulb_dist:
[   0.   37.  118.  263.  349.  896. 4454.  593. 2381. 1975.]
[2025-04-20 08:56:00,163 INFO] lb_select_ulb_dist:
[ 400.  276.  261.  349.  400.  926. 4472.  604. 2387. 1979.]
[2025-04-20 08:56:00,170 INFO] 205: Update the labeled data.
[2025-04-20 08:57:28,080 INFO] 210176 iteration USE_EMA: True, train/sup_loss: 0.2141, train/aux_loss: 0.1348, train/total_loss: 0.3489, train/util_ratio: 0.8371, train/run_time: 0.1590, lr: 0.0136, train/prefecth_time: 0.0066 
[2025-04-20 08:58:24,715 INFO] 210432 iteration USE_EMA: True, train/sup_loss: 0.2404, train/aux_loss: 0.1144, train/total_loss: 0.3548, train/util_ratio: 0.8393, train/run_time: 0.1865, lr: 0.0135, train/prefecth_time: 0.0643 
[2025-04-20 08:59:21,121 INFO] 210688 iteration USE_EMA: True, train/sup_loss: 0.2312, train/aux_loss: 0.1005, train/total_loss: 0.3317, train/util_ratio: 0.8415, train/run_time: 0.1769, lr: 0.0135, train/prefecth_time: 0.0073 
[2025-04-20 09:00:17,083 INFO] validating...
[2025-04-20 09:00:19,445 INFO] confusion matrix:
[[0.884 0.004 0.028 0.003 0.004 0.006 0.006 0.003 0.042 0.02 ]
 [0.006 0.944 0.    0.    0.    0.001 0.001 0.    0.008 0.04 ]
 [0.086 0.001 0.632 0.028 0.058 0.08  0.079 0.024 0.006 0.006]
 [0.024 0.008 0.047 0.508 0.038 0.242 0.09  0.023 0.006 0.014]
 [0.019 0.004 0.047 0.02  0.791 0.026 0.035 0.054 0.004 0.   ]
 [0.009 0.003 0.022 0.078 0.025 0.79  0.017 0.053 0.002 0.001]
 [0.008 0.001 0.006 0.04  0.005 0.003 0.932 0.001 0.001 0.003]
 [0.011 0.001 0.023 0.024 0.031 0.053 0.003 0.846 0.004 0.004]
 [0.017 0.009 0.002 0.002 0.002 0.001 0.002 0.    0.871 0.094]
 [0.01  0.022 0.    0.002 0.001 0.002 0.001 0.    0.007 0.955]]
[2025-04-20 09:00:19,845 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 09:00:19,846 INFO] 210944 iteration, USE_EMA: True, train/sup_loss: 0.0852, train/aux_loss: 0.1414, train/total_loss: 0.2266, train/util_ratio: 0.8549, train/run_time: 0.1672, eval/loss: 0.7727, eval/top-1-acc: 0.8153, eval/top-5-acc: 0.9788, eval/balanced_acc: 0.8153, eval/precision: 0.8156, eval/recall: 0.8153, eval/F1: 0.8111, lr: 0.0134, train/prefecth_time: 0.0970 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 09:01:17,557 INFO] 211200 iteration USE_EMA: True, train/sup_loss: 0.2178, train/aux_loss: 0.1027, train/total_loss: 0.3205, train/util_ratio: 0.8504, train/run_time: 0.1573, lr: 0.0134, train/prefecth_time: 0.0066 
[2025-04-20 09:02:13,106 INFO] 211456 iteration USE_EMA: True, train/sup_loss: 0.2450, train/aux_loss: 0.0913, train/total_loss: 0.3362, train/util_ratio: 0.8661, train/run_time: 0.2423, lr: 0.0134, train/prefecth_time: 0.0083 
[2025-04-20 09:03:08,877 INFO] 211712 iteration USE_EMA: True, train/sup_loss: 0.2296, train/aux_loss: 0.1093, train/total_loss: 0.3389, train/util_ratio: 0.8080, train/run_time: 0.1816, lr: 0.0133, train/prefecth_time: 0.0055 
[2025-04-20 09:04:04,101 INFO] validating...
[2025-04-20 09:04:07,043 INFO] confusion matrix:
[[0.889 0.004 0.025 0.002 0.006 0.004 0.006 0.004 0.039 0.021]
 [0.005 0.94  0.    0.    0.001 0.001 0.001 0.    0.005 0.047]
 [0.086 0.    0.624 0.026 0.057 0.086 0.089 0.02  0.006 0.006]
 [0.036 0.005 0.051 0.486 0.04  0.247 0.093 0.025 0.005 0.012]
 [0.021 0.004 0.045 0.019 0.789 0.029 0.037 0.052 0.004 0.   ]
 [0.012 0.003 0.022 0.073 0.026 0.784 0.018 0.056 0.003 0.003]
 [0.008 0.001 0.005 0.032 0.004 0.003 0.943 0.001 0.001 0.002]
 [0.013 0.001 0.019 0.023 0.031 0.05  0.002 0.855 0.004 0.002]
 [0.021 0.01  0.001 0.003 0.003 0.001 0.002 0.    0.862 0.097]
 [0.01  0.022 0.    0.003 0.001 0.002 0.    0.    0.007 0.955]]
[2025-04-20 09:04:08,105 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 09:04:08,106 INFO] 211968 iteration, USE_EMA: True, train/sup_loss: 0.0944, train/aux_loss: 0.1950, train/total_loss: 0.2895, train/util_ratio: 0.7723, train/run_time: 0.1583, eval/loss: 0.7737, eval/top-1-acc: 0.8127, eval/top-5-acc: 0.9779, eval/balanced_acc: 0.8127, eval/precision: 0.8137, eval/recall: 0.8127, eval/F1: 0.8078, lr: 0.0133, train/prefecth_time: 0.0878 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 09:05:07,017 INFO] 212224 iteration USE_EMA: True, train/sup_loss: 0.3447, train/aux_loss: 0.5643, train/total_loss: 0.9090, train/util_ratio: 0.5759, train/run_time: 0.1547, lr: 0.0133, train/prefecth_time: 0.0046 
[2025-04-20 09:06:02,134 INFO] 212480 iteration USE_EMA: True, train/sup_loss: 0.2953, train/aux_loss: 0.2966, train/total_loss: 0.5919, train/util_ratio: 0.6987, train/run_time: 0.1821, lr: 0.0132, train/prefecth_time: 0.0045 
[2025-04-20 09:06:57,594 INFO] 212736 iteration USE_EMA: True, train/sup_loss: 0.2406, train/aux_loss: 0.2133, train/total_loss: 0.4539, train/util_ratio: 0.7902, train/run_time: 0.1884, lr: 0.0132, train/prefecth_time: 0.0070 
[2025-04-20 09:07:52,920 INFO] validating...
[2025-04-20 09:07:55,318 INFO] confusion matrix:
[[0.881 0.006 0.032 0.003 0.004 0.006 0.006 0.004 0.04  0.018]
 [0.005 0.942 0.002 0.    0.    0.001 0.005 0.    0.004 0.041]
 [0.067 0.001 0.68  0.019 0.067 0.068 0.079 0.009 0.006 0.004]
 [0.035 0.005 0.051 0.51  0.051 0.217 0.092 0.022 0.004 0.013]
 [0.014 0.002 0.046 0.018 0.82  0.026 0.034 0.038 0.002 0.   ]
 [0.004 0.003 0.036 0.085 0.029 0.771 0.021 0.05  0.    0.001]
 [0.006 0.    0.009 0.038 0.006 0.002 0.935 0.001 0.001 0.002]
 [0.012 0.001 0.034 0.025 0.042 0.047 0.003 0.83  0.004 0.002]
 [0.018 0.011 0.002 0.003 0.003 0.001 0.002 0.    0.856 0.104]
 [0.009 0.023 0.002 0.001 0.    0.002 0.003 0.    0.006 0.954]]
[2025-04-20 09:07:55,734 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 09:07:55,735 INFO] 212992 iteration, USE_EMA: True, train/sup_loss: 0.0881, train/aux_loss: 0.1512, train/total_loss: 0.2393, train/util_ratio: 0.8058, train/run_time: 0.1556, eval/loss: 0.7417, eval/top-1-acc: 0.8179, eval/top-5-acc: 0.9821, eval/balanced_acc: 0.8179, eval/precision: 0.8179, eval/recall: 0.8179, eval/F1: 0.8142, lr: 0.0132, train/prefecth_time: 0.0491 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 09:08:53,312 INFO] 213248 iteration USE_EMA: True, train/sup_loss: 0.2228, train/aux_loss: 0.1442, train/total_loss: 0.3670, train/util_ratio: 0.8080, train/run_time: 0.1688, lr: 0.0131, train/prefecth_time: 0.0092 
[2025-04-20 09:09:49,020 INFO] 213504 iteration USE_EMA: True, train/sup_loss: 0.2399, train/aux_loss: 0.1376, train/total_loss: 0.3774, train/util_ratio: 0.8170, train/run_time: 0.1788, lr: 0.0131, train/prefecth_time: 0.0086 
[2025-04-20 09:10:44,391 INFO] 213760 iteration USE_EMA: True, train/sup_loss: 0.2296, train/aux_loss: 0.1748, train/total_loss: 0.4045, train/util_ratio: 0.8170, train/run_time: 0.2129, lr: 0.0130, train/prefecth_time: 0.0073 
[2025-04-20 09:11:39,802 INFO] validating...
[2025-04-20 09:11:42,148 INFO] confusion matrix:
[[0.887 0.004 0.027 0.003 0.005 0.007 0.005 0.002 0.041 0.019]
 [0.004 0.943 0.002 0.    0.    0.001 0.002 0.    0.003 0.045]
 [0.072 0.003 0.658 0.019 0.059 0.077 0.084 0.018 0.006 0.004]
 [0.037 0.005 0.05  0.494 0.047 0.234 0.091 0.023 0.003 0.016]
 [0.02  0.005 0.054 0.014 0.803 0.028 0.027 0.047 0.002 0.   ]
 [0.01  0.003 0.029 0.076 0.026 0.781 0.021 0.052 0.    0.002]
 [0.007 0.    0.008 0.035 0.006 0.001 0.94  0.001 0.001 0.001]
 [0.011 0.001 0.028 0.022 0.037 0.053 0.004 0.837 0.004 0.003]
 [0.02  0.011 0.004 0.003 0.002 0.001 0.002 0.    0.857 0.1  ]
 [0.007 0.025 0.001 0.003 0.001 0.001 0.    0.    0.005 0.957]]
[2025-04-20 09:11:42,520 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 09:11:42,520 INFO] 214016 iteration, USE_EMA: True, train/sup_loss: 0.0889, train/aux_loss: 0.0997, train/total_loss: 0.1886, train/util_ratio: 0.8393, train/run_time: 0.1664, eval/loss: 0.7651, eval/top-1-acc: 0.8157, eval/top-5-acc: 0.9788, eval/balanced_acc: 0.8157, eval/precision: 0.8162, eval/recall: 0.8157, eval/F1: 0.8114, lr: 0.0130, train/prefecth_time: 0.0053 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 09:12:40,170 INFO] 214272 iteration USE_EMA: True, train/sup_loss: 0.2169, train/aux_loss: 0.0580, train/total_loss: 0.2749, train/util_ratio: 0.8549, train/run_time: 0.1562, lr: 0.0130, train/prefecth_time: 0.0096 
[2025-04-20 09:13:35,814 INFO] 214528 iteration USE_EMA: True, train/sup_loss: 0.2380, train/aux_loss: 0.0996, train/total_loss: 0.3376, train/util_ratio: 0.8504, train/run_time: 0.1815, lr: 0.0129, train/prefecth_time: 0.0066 
[2025-04-20 09:14:31,291 INFO] 214784 iteration USE_EMA: True, train/sup_loss: 0.2278, train/aux_loss: 0.1038, train/total_loss: 0.3317, train/util_ratio: 0.8259, train/run_time: 0.1780, lr: 0.0129, train/prefecth_time: 0.0703 
[2025-04-20 09:15:26,947 INFO] validating...
[2025-04-20 09:15:29,373 INFO] confusion matrix:
[[0.884 0.005 0.026 0.006 0.007 0.005 0.005 0.002 0.042 0.018]
 [0.003 0.941 0.004 0.    0.    0.001 0.001 0.    0.004 0.046]
 [0.076 0.002 0.655 0.022 0.059 0.078 0.085 0.016 0.004 0.003]
 [0.036 0.006 0.053 0.484 0.042 0.238 0.093 0.024 0.004 0.02 ]
 [0.02  0.002 0.054 0.015 0.794 0.031 0.03  0.053 0.001 0.   ]
 [0.008 0.003 0.027 0.078 0.023 0.784 0.018 0.057 0.001 0.001]
 [0.007 0.    0.008 0.033 0.007 0.002 0.939 0.001 0.001 0.002]
 [0.014 0.    0.029 0.021 0.033 0.047 0.005 0.845 0.004 0.002]
 [0.017 0.01  0.004 0.003 0.003 0.001 0.001 0.    0.861 0.1  ]
 [0.009 0.021 0.    0.003 0.    0.001 0.    0.    0.007 0.959]]
[2025-04-20 09:15:29,692 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 09:15:29,693 INFO] 215040 iteration, USE_EMA: True, train/sup_loss: 0.0842, train/aux_loss: 0.0890, train/total_loss: 0.1733, train/util_ratio: 0.8415, train/run_time: 0.1671, eval/loss: 0.7688, eval/top-1-acc: 0.8146, eval/top-5-acc: 0.9778, eval/balanced_acc: 0.8146, eval/precision: 0.8148, eval/recall: 0.8146, eval/F1: 0.8100, lr: 0.0129, train/prefecth_time: 0.0059 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 09:17:48,921 INFO] select_ulb_dist:
[   0.   26.  118.  263.  349.  896. 4454.  593. 2381. 1975.]
[2025-04-20 09:17:48,925 INFO] lb_select_ulb_dist:
[ 400.  265.  261.  349.  400.  926. 4472.  604. 2387. 1979.]
[2025-04-20 09:17:48,937 INFO] 210: Update the labeled data.
[2025-04-20 09:19:13,945 INFO] 215296 iteration USE_EMA: True, train/sup_loss: 0.1020, train/aux_loss: 0.0898, train/total_loss: 0.1917, train/util_ratio: 0.8326, train/run_time: 0.3463, lr: 0.0128, train/prefecth_time: 0.0065 
[2025-04-20 09:20:09,809 INFO] 215552 iteration USE_EMA: True, train/sup_loss: 0.1708, train/aux_loss: 0.1409, train/total_loss: 0.3117, train/util_ratio: 0.8036, train/run_time: 0.1712, lr: 0.0128, train/prefecth_time: 0.0065 
[2025-04-20 09:21:06,321 INFO] 215808 iteration USE_EMA: True, train/sup_loss: 0.1497, train/aux_loss: 0.0901, train/total_loss: 0.2397, train/util_ratio: 0.8281, train/run_time: 0.1610, lr: 0.0128, train/prefecth_time: 0.0204 
[2025-04-20 09:22:02,652 INFO] validating...
[2025-04-20 09:22:05,246 INFO] confusion matrix:
[[0.886 0.005 0.026 0.005 0.005 0.004 0.005 0.002 0.044 0.018]
 [0.004 0.941 0.003 0.    0.    0.001 0.001 0.    0.007 0.043]
 [0.08  0.003 0.665 0.02  0.053 0.08  0.069 0.022 0.006 0.002]
 [0.032 0.007 0.049 0.486 0.041 0.249 0.083 0.029 0.004 0.02 ]
 [0.019 0.002 0.052 0.016 0.792 0.03  0.029 0.058 0.001 0.001]
 [0.011 0.001 0.021 0.078 0.024 0.791 0.013 0.059 0.    0.002]
 [0.007 0.001 0.007 0.035 0.005 0.006 0.935 0.001 0.001 0.002]
 [0.014 0.001 0.03  0.02  0.032 0.054 0.005 0.838 0.004 0.002]
 [0.017 0.008 0.004 0.001 0.003 0.001 0.001 0.    0.869 0.096]
 [0.012 0.024 0.001 0.002 0.    0.001 0.    0.    0.007 0.953]]
[2025-04-20 09:22:05,660 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 09:22:05,661 INFO] 216064 iteration, USE_EMA: True, train/sup_loss: 0.1261, train/aux_loss: 0.0809, train/total_loss: 0.2071, train/util_ratio: 0.8460, train/run_time: 0.1833, eval/loss: 0.7721, eval/top-1-acc: 0.8156, eval/top-5-acc: 0.9768, eval/balanced_acc: 0.8156, eval/precision: 0.8162, eval/recall: 0.8156, eval/F1: 0.8113, lr: 0.0127, train/prefecth_time: 0.0100 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 09:23:03,757 INFO] 216320 iteration USE_EMA: True, train/sup_loss: 0.1020, train/aux_loss: 0.0945, train/total_loss: 0.1965, train/util_ratio: 0.8460, train/run_time: 0.2474, lr: 0.0127, train/prefecth_time: 0.0073 
[2025-04-20 09:23:59,287 INFO] 216576 iteration USE_EMA: True, train/sup_loss: 0.1759, train/aux_loss: 0.0866, train/total_loss: 0.2625, train/util_ratio: 0.8594, train/run_time: 0.1710, lr: 0.0126, train/prefecth_time: 0.0071 
[2025-04-20 09:24:55,391 INFO] 216832 iteration USE_EMA: True, train/sup_loss: 0.2982, train/aux_loss: 0.7168, train/total_loss: 1.0150, train/util_ratio: 0.5067, train/run_time: 0.1620, lr: 0.0126, train/prefecth_time: 0.0083 
[2025-04-20 09:25:50,685 INFO] validating...
[2025-04-20 09:25:53,231 INFO] confusion matrix:
[[0.877 0.005 0.031 0.004 0.008 0.005 0.007 0.002 0.039 0.022]
 [0.005 0.941 0.002 0.001 0.    0.001 0.002 0.    0.005 0.043]
 [0.061 0.002 0.691 0.018 0.061 0.074 0.077 0.009 0.004 0.003]
 [0.022 0.005 0.058 0.501 0.049 0.229 0.1   0.019 0.004 0.013]
 [0.013 0.003 0.049 0.016 0.813 0.027 0.039 0.039 0.001 0.   ]
 [0.004 0.002 0.035 0.077 0.029 0.79  0.015 0.047 0.    0.001]
 [0.006 0.001 0.009 0.036 0.006 0.002 0.936 0.001 0.001 0.002]
 [0.01  0.001 0.031 0.022 0.045 0.054 0.004 0.827 0.004 0.002]
 [0.018 0.01  0.007 0.003 0.002 0.001 0.002 0.    0.855 0.102]
 [0.008 0.024 0.001 0.004 0.001 0.002 0.    0.    0.008 0.952]]
[2025-04-20 09:25:53,596 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 09:25:53,596 INFO] 217088 iteration, USE_EMA: True, train/sup_loss: 0.2074, train/aux_loss: 0.3626, train/total_loss: 0.5700, train/util_ratio: 0.7232, train/run_time: 0.1582, eval/loss: 0.7433, eval/top-1-acc: 0.8183, eval/top-5-acc: 0.9814, eval/balanced_acc: 0.8183, eval/precision: 0.8194, eval/recall: 0.8183, eval/F1: 0.8147, lr: 0.0126, train/prefecth_time: 0.0059 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 09:26:51,065 INFO] 217344 iteration USE_EMA: True, train/sup_loss: 0.1407, train/aux_loss: 0.2143, train/total_loss: 0.3550, train/util_ratio: 0.7567, train/run_time: 0.2028, lr: 0.0125, train/prefecth_time: 0.0134 
[2025-04-20 09:27:46,610 INFO] 217600 iteration USE_EMA: True, train/sup_loss: 0.2182, train/aux_loss: 0.1739, train/total_loss: 0.3921, train/util_ratio: 0.8170, train/run_time: 0.1728, lr: 0.0125, train/prefecth_time: 0.0069 
[2025-04-20 09:28:42,166 INFO] 217856 iteration USE_EMA: True, train/sup_loss: 0.1558, train/aux_loss: 0.1393, train/total_loss: 0.2951, train/util_ratio: 0.8147, train/run_time: 0.2761, lr: 0.0125, train/prefecth_time: 0.0087 
[2025-04-20 09:29:37,399 INFO] validating...
[2025-04-20 09:29:40,061 INFO] confusion matrix:
[[0.873 0.003 0.029 0.004 0.008 0.006 0.007 0.002 0.046 0.022]
 [0.006 0.941 0.001 0.001 0.    0.001 0.002 0.    0.007 0.041]
 [0.075 0.002 0.672 0.018 0.061 0.072 0.081 0.01  0.005 0.004]
 [0.029 0.008 0.056 0.505 0.041 0.228 0.103 0.015 0.003 0.012]
 [0.014 0.002 0.046 0.021 0.816 0.024 0.035 0.039 0.003 0.   ]
 [0.007 0.002 0.037 0.083 0.028 0.783 0.014 0.045 0.    0.001]
 [0.008 0.001 0.007 0.035 0.005 0.001 0.939 0.001 0.001 0.002]
 [0.008 0.002 0.029 0.024 0.042 0.059 0.007 0.825 0.003 0.001]
 [0.02  0.008 0.003 0.004 0.002 0.    0.001 0.    0.86  0.102]
 [0.011 0.023 0.002 0.002 0.001 0.001 0.002 0.    0.007 0.951]]
[2025-04-20 09:29:40,395 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 09:29:40,396 INFO] 218112 iteration, USE_EMA: True, train/sup_loss: 0.1246, train/aux_loss: 0.1527, train/total_loss: 0.2773, train/util_ratio: 0.8571, train/run_time: 0.1628, eval/loss: 0.7631, eval/top-1-acc: 0.8165, eval/top-5-acc: 0.9809, eval/balanced_acc: 0.8165, eval/precision: 0.8171, eval/recall: 0.8165, eval/F1: 0.8128, lr: 0.0124, train/prefecth_time: 0.0837 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 09:30:37,875 INFO] 218368 iteration USE_EMA: True, train/sup_loss: 0.1031, train/aux_loss: 0.1169, train/total_loss: 0.2200, train/util_ratio: 0.8504, train/run_time: 0.1595, lr: 0.0124, train/prefecth_time: 0.0065 
[2025-04-20 09:31:33,285 INFO] 218624 iteration USE_EMA: True, train/sup_loss: 0.1811, train/aux_loss: 0.0969, train/total_loss: 0.2781, train/util_ratio: 0.8415, train/run_time: 0.1680, lr: 0.0124, train/prefecth_time: 0.0311 
[2025-04-20 09:32:28,681 INFO] 218880 iteration USE_EMA: True, train/sup_loss: 0.1454, train/aux_loss: 0.1277, train/total_loss: 0.2731, train/util_ratio: 0.8616, train/run_time: 0.1784, lr: 0.0123, train/prefecth_time: 0.0464 
[2025-04-20 09:33:24,331 INFO] validating...
[2025-04-20 09:33:26,992 INFO] confusion matrix:
[[0.87  0.003 0.028 0.005 0.008 0.004 0.007 0.003 0.053 0.019]
 [0.005 0.945 0.001 0.    0.    0.001 0.001 0.    0.007 0.04 ]
 [0.075 0.003 0.654 0.021 0.059 0.077 0.083 0.015 0.007 0.006]
 [0.03  0.006 0.063 0.492 0.038 0.235 0.102 0.017 0.003 0.014]
 [0.016 0.003 0.044 0.021 0.799 0.026 0.037 0.049 0.004 0.001]
 [0.009 0.002 0.033 0.083 0.027 0.781 0.014 0.05  0.    0.001]
 [0.008 0.001 0.006 0.036 0.006 0.001 0.939 0.001 0.001 0.001]
 [0.01  0.001 0.032 0.023 0.035 0.051 0.004 0.841 0.002 0.001]
 [0.018 0.007 0.004 0.003 0.001 0.    0.001 0.    0.868 0.098]
 [0.012 0.023 0.002 0.001 0.001 0.001 0.001 0.    0.006 0.953]]
[2025-04-20 09:33:27,273 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 09:33:27,274 INFO] 219136 iteration, USE_EMA: True, train/sup_loss: 0.1269, train/aux_loss: 0.1481, train/total_loss: 0.2750, train/util_ratio: 0.8192, train/run_time: 0.1604, eval/loss: 0.7714, eval/top-1-acc: 0.8142, eval/top-5-acc: 0.9790, eval/balanced_acc: 0.8142, eval/precision: 0.8138, eval/recall: 0.8142, eval/F1: 0.8099, lr: 0.0123, train/prefecth_time: 0.0056 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 09:34:24,863 INFO] 219392 iteration USE_EMA: True, train/sup_loss: 0.1020, train/aux_loss: 0.0929, train/total_loss: 0.1949, train/util_ratio: 0.8371, train/run_time: 0.1627, lr: 0.0122, train/prefecth_time: 0.0078 
[2025-04-20 09:35:20,073 INFO] 219648 iteration USE_EMA: True, train/sup_loss: 0.1695, train/aux_loss: 0.0784, train/total_loss: 0.2479, train/util_ratio: 0.8549, train/run_time: 0.1683, lr: 0.0122, train/prefecth_time: 0.0068 
[2025-04-20 09:36:15,425 INFO] 219904 iteration USE_EMA: True, train/sup_loss: 0.1480, train/aux_loss: 0.1452, train/total_loss: 0.2931, train/util_ratio: 0.8438, train/run_time: 0.1560, lr: 0.0122, train/prefecth_time: 0.0412 
[2025-04-20 09:37:11,133 INFO] validating...
[2025-04-20 09:37:13,641 INFO] confusion matrix:
[[0.881 0.002 0.027 0.004 0.008 0.004 0.005 0.004 0.048 0.017]
 [0.003 0.945 0.001 0.    0.    0.001 0.001 0.001 0.007 0.041]
 [0.077 0.003 0.647 0.025 0.058 0.072 0.087 0.018 0.007 0.006]
 [0.036 0.007 0.053 0.495 0.045 0.234 0.098 0.016 0.005 0.011]
 [0.02  0.003 0.04  0.015 0.802 0.029 0.036 0.05  0.004 0.001]
 [0.01  0.002 0.025 0.08  0.027 0.789 0.015 0.049 0.002 0.001]
 [0.009 0.001 0.008 0.032 0.005 0.001 0.941 0.001 0.001 0.001]
 [0.009 0.002 0.025 0.017 0.038 0.053 0.004 0.848 0.003 0.001]
 [0.02  0.009 0.005 0.002 0.001 0.001 0.001 0.    0.865 0.096]
 [0.012 0.024 0.002 0.001 0.    0.003 0.001 0.    0.008 0.949]]
[2025-04-20 09:37:14,070 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 09:37:14,071 INFO] 220160 iteration, USE_EMA: True, train/sup_loss: 0.1265, train/aux_loss: 0.1010, train/total_loss: 0.2276, train/util_ratio: 0.8326, train/run_time: 0.2325, eval/loss: 0.7667, eval/top-1-acc: 0.8162, eval/top-5-acc: 0.9785, eval/balanced_acc: 0.8162, eval/precision: 0.8164, eval/recall: 0.8162, eval/F1: 0.8117, lr: 0.0121, train/prefecth_time: 0.0060 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 09:39:33,994 INFO] select_ulb_dist:
[   0.   20.  118.  263.  349.  896. 4454.  593. 2381. 1975.]
[2025-04-20 09:39:33,995 INFO] lb_select_ulb_dist:
[ 400.  259.  261.  349.  400.  926. 4472.  604. 2387. 1979.]
[2025-04-20 09:39:34,004 INFO] 215: Update the labeled data.
[2025-04-20 09:40:57,406 INFO] 220416 iteration USE_EMA: True, train/sup_loss: 0.1767, train/aux_loss: 0.1681, train/total_loss: 0.3448, train/util_ratio: 0.8036, train/run_time: 0.1631, lr: 0.0121, train/prefecth_time: 0.0041 
[2025-04-20 09:41:53,599 INFO] 220672 iteration USE_EMA: True, train/sup_loss: 0.1389, train/aux_loss: 0.0615, train/total_loss: 0.2004, train/util_ratio: 0.8795, train/run_time: 0.1638, lr: 0.0121, train/prefecth_time: 0.0913 
[2025-04-20 09:42:50,010 INFO] 220928 iteration USE_EMA: True, train/sup_loss: 0.4246, train/aux_loss: 0.7353, train/total_loss: 1.1599, train/util_ratio: 0.5938, train/run_time: 0.4553, lr: 0.0120, train/prefecth_time: 0.0075 
[2025-04-20 09:43:45,732 INFO] validating...
[2025-04-20 09:43:48,126 INFO] confusion matrix:
[[0.887 0.006 0.028 0.003 0.011 0.005 0.004 0.003 0.034 0.019]
 [0.003 0.958 0.002 0.    0.    0.001 0.002 0.    0.005 0.029]
 [0.069 0.003 0.667 0.024 0.068 0.064 0.079 0.016 0.005 0.005]
 [0.034 0.009 0.052 0.508 0.055 0.215 0.095 0.017 0.004 0.011]
 [0.017 0.003 0.043 0.02  0.809 0.023 0.034 0.048 0.003 0.   ]
 [0.01  0.003 0.033 0.079 0.033 0.774 0.016 0.051 0.    0.001]
 [0.005 0.001 0.01  0.036 0.007 0.002 0.936 0.001 0.001 0.001]
 [0.009 0.001 0.023 0.023 0.037 0.04  0.006 0.857 0.003 0.001]
 [0.02  0.011 0.005 0.001 0.002 0.    0.002 0.    0.858 0.101]
 [0.008 0.036 0.002 0.004 0.    0.003 0.001 0.    0.008 0.938]]
[2025-04-20 09:43:48,466 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 09:43:48,467 INFO] 221184 iteration, USE_EMA: True, train/sup_loss: 0.1447, train/aux_loss: 0.1925, train/total_loss: 0.3372, train/util_ratio: 0.7612, train/run_time: 0.1603, eval/loss: 0.7444, eval/top-1-acc: 0.8192, eval/top-5-acc: 0.9800, eval/balanced_acc: 0.8192, eval/precision: 0.8181, eval/recall: 0.8192, eval/F1: 0.8150, lr: 0.0120, train/prefecth_time: 0.0057 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 09:44:45,922 INFO] 221440 iteration USE_EMA: True, train/sup_loss: 0.1779, train/aux_loss: 0.1463, train/total_loss: 0.3241, train/util_ratio: 0.8192, train/run_time: 0.1651, lr: 0.0120, train/prefecth_time: 0.0460 
[2025-04-20 09:45:41,736 INFO] 221696 iteration USE_EMA: True, train/sup_loss: 0.1356, train/aux_loss: 0.1276, train/total_loss: 0.2632, train/util_ratio: 0.8371, train/run_time: 0.1645, lr: 0.0119, train/prefecth_time: 0.0068 
[2025-04-20 09:46:37,443 INFO] 221952 iteration USE_EMA: True, train/sup_loss: 0.1398, train/aux_loss: 0.1257, train/total_loss: 0.2655, train/util_ratio: 0.8549, train/run_time: 0.1748, lr: 0.0119, train/prefecth_time: 0.0046 
[2025-04-20 09:47:33,207 INFO] validating...
[2025-04-20 09:47:35,690 INFO] confusion matrix:
[[0.881 0.004 0.028 0.003 0.011 0.004 0.007 0.004 0.04  0.018]
 [0.006 0.949 0.002 0.    0.    0.001 0.001 0.    0.005 0.036]
 [0.073 0.004 0.664 0.025 0.058 0.07  0.083 0.014 0.004 0.005]
 [0.038 0.007 0.056 0.514 0.043 0.209 0.097 0.017 0.006 0.013]
 [0.017 0.003 0.044 0.018 0.801 0.03  0.036 0.046 0.004 0.001]
 [0.013 0.003 0.029 0.087 0.028 0.768 0.018 0.052 0.    0.002]
 [0.005 0.001 0.009 0.034 0.006 0.001 0.94  0.002 0.001 0.001]
 [0.015 0.003 0.019 0.02  0.035 0.049 0.004 0.85  0.004 0.001]
 [0.019 0.006 0.005 0.004 0.003 0.    0.002 0.    0.856 0.105]
 [0.011 0.027 0.    0.004 0.    0.004 0.    0.    0.007 0.947]]
[2025-04-20 09:47:36,061 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 09:47:36,061 INFO] 222208 iteration, USE_EMA: True, train/sup_loss: 0.1178, train/aux_loss: 0.1196, train/total_loss: 0.2374, train/util_ratio: 0.8415, train/run_time: 0.1625, eval/loss: 0.7637, eval/top-1-acc: 0.8170, eval/top-5-acc: 0.9793, eval/balanced_acc: 0.8170, eval/precision: 0.8166, eval/recall: 0.8170, eval/F1: 0.8131, lr: 0.0118, train/prefecth_time: 0.0052 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 09:48:33,453 INFO] 222464 iteration USE_EMA: True, train/sup_loss: 0.1775, train/aux_loss: 0.0856, train/total_loss: 0.2631, train/util_ratio: 0.8438, train/run_time: 0.1827, lr: 0.0118, train/prefecth_time: 0.0062 
[2025-04-20 09:49:28,915 INFO] 222720 iteration USE_EMA: True, train/sup_loss: 0.1351, train/aux_loss: 0.1014, train/total_loss: 0.2365, train/util_ratio: 0.8438, train/run_time: 0.1590, lr: 0.0118, train/prefecth_time: 0.0087 
[2025-04-20 09:50:24,377 INFO] 222976 iteration USE_EMA: True, train/sup_loss: 0.1392, train/aux_loss: 0.0724, train/total_loss: 0.2115, train/util_ratio: 0.8304, train/run_time: 0.1760, lr: 0.0117, train/prefecth_time: 0.0059 
[2025-04-20 09:51:20,095 INFO] validating...
[2025-04-20 09:51:22,514 INFO] confusion matrix:
[[0.884 0.003 0.023 0.003 0.009 0.004 0.007 0.005 0.044 0.018]
 [0.006 0.946 0.    0.    0.001 0.001 0.001 0.    0.007 0.038]
 [0.082 0.004 0.644 0.023 0.06  0.071 0.089 0.018 0.005 0.004]
 [0.039 0.007 0.053 0.506 0.042 0.217 0.099 0.018 0.005 0.014]
 [0.017 0.004 0.048 0.015 0.797 0.028 0.037 0.05  0.003 0.001]
 [0.012 0.004 0.024 0.086 0.025 0.776 0.017 0.053 0.001 0.002]
 [0.006 0.001 0.009 0.029 0.007 0.002 0.943 0.001 0.001 0.001]
 [0.013 0.002 0.02  0.023 0.038 0.044 0.006 0.847 0.004 0.003]
 [0.018 0.007 0.004 0.003 0.002 0.    0.002 0.    0.857 0.107]
 [0.011 0.028 0.002 0.004 0.    0.002 0.    0.    0.006 0.947]]
[2025-04-20 09:51:23,032 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 09:51:23,033 INFO] 223232 iteration, USE_EMA: True, train/sup_loss: 0.1163, train/aux_loss: 0.0812, train/total_loss: 0.1976, train/util_ratio: 0.8616, train/run_time: 0.2372, eval/loss: 0.7732, eval/top-1-acc: 0.8147, eval/top-5-acc: 0.9782, eval/balanced_acc: 0.8147, eval/precision: 0.8145, eval/recall: 0.8147, eval/F1: 0.8102, lr: 0.0117, train/prefecth_time: 0.0058 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 09:52:20,542 INFO] 223488 iteration USE_EMA: True, train/sup_loss: 0.1828, train/aux_loss: 0.1253, train/total_loss: 0.3081, train/util_ratio: 0.8259, train/run_time: 0.1721, lr: 0.0117, train/prefecth_time: 0.0626 
[2025-04-20 09:53:15,982 INFO] 223744 iteration USE_EMA: True, train/sup_loss: 0.1371, train/aux_loss: 0.1030, train/total_loss: 0.2401, train/util_ratio: 0.8549, train/run_time: 0.1589, lr: 0.0116, train/prefecth_time: 0.0921 
[2025-04-20 09:54:11,795 INFO] 224000 iteration USE_EMA: True, train/sup_loss: 0.1399, train/aux_loss: 0.0796, train/total_loss: 0.2195, train/util_ratio: 0.8772, train/run_time: 0.1711, lr: 0.0116, train/prefecth_time: 0.0058 
[2025-04-20 09:55:06,784 INFO] validating...
[2025-04-20 09:55:09,123 INFO] confusion matrix:
[[0.882 0.003 0.025 0.004 0.009 0.004 0.007 0.005 0.042 0.019]
 [0.004 0.946 0.    0.    0.001 0.001 0.001 0.    0.006 0.041]
 [0.081 0.004 0.63  0.027 0.064 0.073 0.091 0.02  0.006 0.004]
 [0.037 0.007 0.055 0.482 0.043 0.231 0.108 0.017 0.007 0.013]
 [0.017 0.003 0.045 0.015 0.797 0.026 0.042 0.051 0.003 0.001]
 [0.012 0.004 0.017 0.085 0.027 0.78  0.019 0.053 0.001 0.002]
 [0.006 0.001 0.009 0.032 0.007 0.002 0.94  0.001 0.001 0.001]
 [0.014 0.002 0.021 0.024 0.039 0.05  0.005 0.841 0.002 0.002]
 [0.015 0.008 0.005 0.004 0.002 0.001 0.001 0.    0.863 0.101]
 [0.01  0.025 0.001 0.004 0.    0.003 0.    0.    0.006 0.951]]
[2025-04-20 09:55:09,495 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 09:55:09,495 INFO] 224256 iteration, USE_EMA: True, train/sup_loss: 0.1176, train/aux_loss: 0.1097, train/total_loss: 0.2273, train/util_ratio: 0.8571, train/run_time: 0.1568, eval/loss: 0.7742, eval/top-1-acc: 0.8112, eval/top-5-acc: 0.9773, eval/balanced_acc: 0.8112, eval/precision: 0.8109, eval/recall: 0.8112, eval/F1: 0.8062, lr: 0.0115, train/prefecth_time: 0.0043 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 09:56:06,823 INFO] 224512 iteration USE_EMA: True, train/sup_loss: 0.1740, train/aux_loss: 0.0964, train/total_loss: 0.2704, train/util_ratio: 0.8438, train/run_time: 0.1710, lr: 0.0115, train/prefecth_time: 0.0103 
[2025-04-20 09:57:02,806 INFO] 224768 iteration USE_EMA: True, train/sup_loss: 0.1351, train/aux_loss: 0.0805, train/total_loss: 0.2155, train/util_ratio: 0.8549, train/run_time: 0.3171, lr: 0.0115, train/prefecth_time: 0.0065 
[2025-04-20 09:57:57,922 INFO] 225024 iteration USE_EMA: True, train/sup_loss: 0.1404, train/aux_loss: 0.0559, train/total_loss: 0.1963, train/util_ratio: 0.8393, train/run_time: 0.1762, lr: 0.0114, train/prefecth_time: 0.0070 
[2025-04-20 09:58:53,148 INFO] validating...
[2025-04-20 09:58:55,848 INFO] confusion matrix:
[[0.883 0.003 0.023 0.004 0.008 0.005 0.007 0.006 0.042 0.019]
 [0.002 0.944 0.    0.    0.    0.001 0.001 0.    0.005 0.047]
 [0.086 0.004 0.635 0.024 0.06  0.076 0.084 0.02  0.006 0.005]
 [0.034 0.007 0.053 0.473 0.043 0.232 0.111 0.023 0.008 0.016]
 [0.019 0.005 0.045 0.013 0.791 0.028 0.04  0.056 0.002 0.001]
 [0.011 0.002 0.019 0.082 0.027 0.779 0.018 0.057 0.002 0.003]
 [0.006 0.001 0.01  0.031 0.005 0.004 0.94  0.001 0.001 0.001]
 [0.012 0.001 0.019 0.025 0.037 0.053 0.005 0.844 0.003 0.001]
 [0.016 0.007 0.002 0.004 0.002 0.    0.001 0.    0.867 0.101]
 [0.011 0.026 0.    0.002 0.    0.002 0.    0.    0.006 0.953]]
[2025-04-20 09:58:56,253 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 09:58:56,254 INFO] 225280 iteration, USE_EMA: True, train/sup_loss: 0.1181, train/aux_loss: 0.1056, train/total_loss: 0.2238, train/util_ratio: 0.8036, train/run_time: 0.1950, eval/loss: 0.7731, eval/top-1-acc: 0.8109, eval/top-5-acc: 0.9770, eval/balanced_acc: 0.8109, eval/precision: 0.8110, eval/recall: 0.8109, eval/F1: 0.8057, lr: 0.0114, train/prefecth_time: 0.0497 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 10:01:15,756 INFO] select_ulb_dist:
[   0.   11.  118.  263.  349.  896. 4454.  593. 2381. 1975.]
[2025-04-20 10:01:15,758 INFO] lb_select_ulb_dist:
[ 400.  250.  261.  349.  400.  926. 4472.  604. 2387. 1979.]
[2025-04-20 10:01:15,769 INFO] 220: Update the labeled data.
[2025-04-20 10:02:39,778 INFO] 225536 iteration USE_EMA: True, train/sup_loss: 0.4896, train/aux_loss: 0.2878, train/total_loss: 0.7774, train/util_ratio: 0.7522, train/run_time: 0.1615, lr: 0.0114, train/prefecth_time: 0.0047 
[2025-04-20 10:03:36,401 INFO] 225792 iteration USE_EMA: True, train/sup_loss: 0.3077, train/aux_loss: 0.5067, train/total_loss: 0.8144, train/util_ratio: 0.6205, train/run_time: 0.1705, lr: 0.0113, train/prefecth_time: 0.0109 
[2025-04-20 10:04:33,080 INFO] 226048 iteration USE_EMA: True, train/sup_loss: 0.1347, train/aux_loss: 0.2383, train/total_loss: 0.3729, train/util_ratio: 0.7321, train/run_time: 0.1787, lr: 0.0113, train/prefecth_time: 0.0100 
[2025-04-20 10:05:29,872 INFO] validating...
[2025-04-20 10:05:32,246 INFO] confusion matrix:
[[0.871 0.006 0.028 0.004 0.011 0.006 0.007 0.004 0.044 0.019]
 [0.005 0.938 0.    0.    0.    0.001 0.001 0.    0.005 0.05 ]
 [0.066 0.002 0.674 0.02  0.068 0.063 0.087 0.011 0.005 0.004]
 [0.033 0.007 0.056 0.507 0.051 0.201 0.11  0.02  0.004 0.011]
 [0.018 0.001 0.047 0.016 0.822 0.019 0.032 0.042 0.002 0.001]
 [0.008 0.002 0.024 0.086 0.031 0.776 0.018 0.053 0.001 0.001]
 [0.005 0.001 0.008 0.031 0.009 0.002 0.939 0.002 0.001 0.002]
 [0.01  0.001 0.022 0.025 0.044 0.053 0.005 0.835 0.004 0.001]
 [0.019 0.008 0.003 0.001 0.003 0.    0.001 0.    0.852 0.113]
 [0.006 0.025 0.003 0.004 0.001 0.001 0.001 0.    0.008 0.951]]
[2025-04-20 10:05:32,719 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 10:05:32,720 INFO] 226304 iteration, USE_EMA: True, train/sup_loss: 0.2392, train/aux_loss: 0.1078, train/total_loss: 0.3470, train/util_ratio: 0.8415, train/run_time: 0.1531, eval/loss: 0.7479, eval/top-1-acc: 0.8165, eval/top-5-acc: 0.9817, eval/balanced_acc: 0.8165, eval/precision: 0.8165, eval/recall: 0.8165, eval/F1: 0.8125, lr: 0.0112, train/prefecth_time: 0.0052 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 10:06:30,729 INFO] 226560 iteration USE_EMA: True, train/sup_loss: 0.1570, train/aux_loss: 0.1351, train/total_loss: 0.2921, train/util_ratio: 0.8281, train/run_time: 0.1604, lr: 0.0112, train/prefecth_time: 0.0063 
[2025-04-20 10:07:26,770 INFO] 226816 iteration USE_EMA: True, train/sup_loss: 0.1303, train/aux_loss: 0.1431, train/total_loss: 0.2734, train/util_ratio: 0.8147, train/run_time: 0.2419, lr: 0.0112, train/prefecth_time: 0.0282 
[2025-04-20 10:08:23,050 INFO] 227072 iteration USE_EMA: True, train/sup_loss: 0.1277, train/aux_loss: 0.0816, train/total_loss: 0.2093, train/util_ratio: 0.8482, train/run_time: 0.1782, lr: 0.0111, train/prefecth_time: 0.0092 
[2025-04-20 10:09:19,109 INFO] validating...
[2025-04-20 10:09:21,886 INFO] confusion matrix:
[[0.874 0.006 0.029 0.004 0.01  0.004 0.007 0.005 0.044 0.017]
 [0.003 0.936 0.001 0.    0.    0.001 0.001 0.001 0.004 0.053]
 [0.074 0.003 0.66  0.018 0.066 0.068 0.09  0.012 0.005 0.004]
 [0.03  0.008 0.05  0.5   0.047 0.223 0.104 0.02  0.004 0.014]
 [0.02  0.001 0.046 0.012 0.805 0.028 0.033 0.051 0.003 0.001]
 [0.007 0.004 0.022 0.081 0.031 0.787 0.015 0.051 0.001 0.001]
 [0.005 0.001 0.008 0.032 0.006 0.002 0.941 0.002 0.001 0.002]
 [0.011 0.001 0.023 0.028 0.035 0.056 0.005 0.836 0.004 0.001]
 [0.017 0.01  0.004 0.001 0.003 0.    0.001 0.    0.853 0.111]
 [0.008 0.026 0.001 0.003 0.001 0.001 0.    0.    0.007 0.953]]
[2025-04-20 10:09:22,346 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 10:09:22,347 INFO] 227328 iteration, USE_EMA: True, train/sup_loss: 0.2283, train/aux_loss: 0.0958, train/total_loss: 0.3240, train/util_ratio: 0.8415, train/run_time: 0.1562, eval/loss: 0.7710, eval/top-1-acc: 0.8145, eval/top-5-acc: 0.9800, eval/balanced_acc: 0.8145, eval/precision: 0.8152, eval/recall: 0.8145, eval/F1: 0.8102, lr: 0.0111, train/prefecth_time: 0.0683 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 10:10:21,096 INFO] 227584 iteration USE_EMA: True, train/sup_loss: 0.1545, train/aux_loss: 0.0860, train/total_loss: 0.2405, train/util_ratio: 0.8817, train/run_time: 0.1571, lr: 0.0111, train/prefecth_time: 0.0085 
[2025-04-20 10:11:16,724 INFO] 227840 iteration USE_EMA: True, train/sup_loss: 0.1264, train/aux_loss: 0.1228, train/total_loss: 0.2492, train/util_ratio: 0.8348, train/run_time: 0.1664, lr: 0.0110, train/prefecth_time: 0.0047 
[2025-04-20 10:12:12,568 INFO] 228096 iteration USE_EMA: True, train/sup_loss: 0.1262, train/aux_loss: 0.0646, train/total_loss: 0.1907, train/util_ratio: 0.8906, train/run_time: 0.1737, lr: 0.0110, train/prefecth_time: 0.0079 
[2025-04-20 10:13:08,803 INFO] validating...
[2025-04-20 10:13:11,437 INFO] confusion matrix:
[[0.876 0.007 0.026 0.005 0.01  0.004 0.008 0.005 0.042 0.017]
 [0.005 0.941 0.001 0.    0.    0.001 0.001 0.001 0.004 0.046]
 [0.082 0.003 0.648 0.021 0.054 0.075 0.092 0.015 0.006 0.004]
 [0.031 0.011 0.046 0.494 0.041 0.238 0.102 0.018 0.006 0.013]
 [0.02  0.003 0.048 0.017 0.793 0.025 0.036 0.054 0.003 0.001]
 [0.01  0.003 0.021 0.083 0.03  0.786 0.016 0.049 0.001 0.001]
 [0.005 0.001 0.006 0.032 0.007 0.002 0.942 0.002 0.001 0.002]
 [0.013 0.001 0.022 0.027 0.034 0.052 0.005 0.84  0.004 0.002]
 [0.016 0.007 0.004 0.    0.004 0.001 0.001 0.    0.858 0.109]
 [0.009 0.024 0.001 0.003 0.    0.002 0.    0.    0.006 0.955]]
[2025-04-20 10:13:11,787 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 10:13:11,788 INFO] 228352 iteration, USE_EMA: True, train/sup_loss: 0.2313, train/aux_loss: 0.0896, train/total_loss: 0.3208, train/util_ratio: 0.8304, train/run_time: 0.1539, eval/loss: 0.7739, eval/top-1-acc: 0.8133, eval/top-5-acc: 0.9788, eval/balanced_acc: 0.8133, eval/precision: 0.8139, eval/recall: 0.8133, eval/F1: 0.8088, lr: 0.0109, train/prefecth_time: 0.0056 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 10:14:09,650 INFO] 228608 iteration USE_EMA: True, train/sup_loss: 0.1539, train/aux_loss: 0.0951, train/total_loss: 0.2489, train/util_ratio: 0.8571, train/run_time: 0.3143, lr: 0.0109, train/prefecth_time: 0.0059 
[2025-04-20 10:15:05,424 INFO] 228864 iteration USE_EMA: True, train/sup_loss: 0.1270, train/aux_loss: 0.1010, train/total_loss: 0.2280, train/util_ratio: 0.8504, train/run_time: 0.1798, lr: 0.0109, train/prefecth_time: 0.0061 
[2025-04-20 10:16:01,284 INFO] 229120 iteration USE_EMA: True, train/sup_loss: 0.1245, train/aux_loss: 0.1318, train/total_loss: 0.2562, train/util_ratio: 0.8482, train/run_time: 0.1728, lr: 0.0108, train/prefecth_time: 0.0072 
[2025-04-20 10:16:57,273 INFO] validating...
[2025-04-20 10:16:59,751 INFO] confusion matrix:
[[0.88  0.003 0.026 0.005 0.011 0.003 0.008 0.003 0.043 0.018]
 [0.006 0.941 0.002 0.    0.    0.001 0.001 0.001 0.006 0.042]
 [0.081 0.003 0.657 0.017 0.057 0.075 0.085 0.016 0.005 0.004]
 [0.032 0.01  0.045 0.473 0.045 0.252 0.099 0.024 0.006 0.014]
 [0.02  0.003 0.052 0.016 0.792 0.025 0.035 0.053 0.002 0.002]
 [0.013 0.002 0.019 0.071 0.027 0.795 0.017 0.052 0.002 0.002]
 [0.006 0.001 0.005 0.033 0.006 0.002 0.943 0.001 0.001 0.002]
 [0.013 0.001 0.024 0.025 0.04  0.05  0.005 0.836 0.003 0.003]
 [0.017 0.007 0.003 0.002 0.002 0.    0.001 0.    0.86  0.108]
 [0.006 0.025 0.002 0.002 0.    0.002 0.    0.    0.006 0.957]]
[2025-04-20 10:17:00,094 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 10:17:00,095 INFO] 229376 iteration, USE_EMA: True, train/sup_loss: 0.2287, train/aux_loss: 0.0970, train/total_loss: 0.3257, train/util_ratio: 0.8683, train/run_time: 0.1548, eval/loss: 0.7780, eval/top-1-acc: 0.8134, eval/top-5-acc: 0.9774, eval/balanced_acc: 0.8134, eval/precision: 0.8143, eval/recall: 0.8134, eval/F1: 0.8084, lr: 0.0108, train/prefecth_time: 0.0904 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 10:17:58,333 INFO] 229632 iteration USE_EMA: True, train/sup_loss: 0.1551, train/aux_loss: 0.1196, train/total_loss: 0.2746, train/util_ratio: 0.8661, train/run_time: 0.1911, lr: 0.0108, train/prefecth_time: 0.0042 
[2025-04-20 10:18:54,422 INFO] 229888 iteration USE_EMA: True, train/sup_loss: 0.1266, train/aux_loss: 0.0799, train/total_loss: 0.2066, train/util_ratio: 0.8304, train/run_time: 0.1679, lr: 0.0107, train/prefecth_time: 0.0075 
[2025-04-20 10:19:50,089 INFO] 230144 iteration USE_EMA: True, train/sup_loss: 0.1259, train/aux_loss: 0.0680, train/total_loss: 0.1939, train/util_ratio: 0.8683, train/run_time: 0.1717, lr: 0.0107, train/prefecth_time: 0.0049 
[2025-04-20 10:20:46,226 INFO] validating...
[2025-04-20 10:20:48,855 INFO] confusion matrix:
[[0.892 0.002 0.019 0.003 0.009 0.005 0.008 0.003 0.041 0.018]
 [0.004 0.939 0.001 0.    0.    0.001 0.001 0.001 0.007 0.046]
 [0.09  0.003 0.641 0.023 0.061 0.076 0.082 0.019 0.003 0.002]
 [0.033 0.01  0.046 0.471 0.043 0.249 0.106 0.024 0.005 0.013]
 [0.02  0.004 0.05  0.017 0.786 0.026 0.039 0.055 0.003 0.   ]
 [0.013 0.002 0.018 0.069 0.025 0.8   0.019 0.052 0.    0.002]
 [0.007 0.001 0.005 0.033 0.004 0.003 0.942 0.001 0.001 0.003]
 [0.015 0.001 0.021 0.023 0.032 0.054 0.005 0.843 0.004 0.002]
 [0.015 0.007 0.002 0.003 0.003 0.    0.001 0.    0.87  0.099]
 [0.009 0.023 0.001 0.003 0.    0.002 0.001 0.    0.006 0.955]]
[2025-04-20 10:20:49,203 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 10:20:49,203 INFO] 230400 iteration, USE_EMA: True, train/sup_loss: 0.2281, train/aux_loss: 0.0794, train/total_loss: 0.3074, train/util_ratio: 0.8348, train/run_time: 0.2305, eval/loss: 0.7771, eval/top-1-acc: 0.8139, eval/top-5-acc: 0.9765, eval/balanced_acc: 0.8139, eval/precision: 0.8151, eval/recall: 0.8139, eval/F1: 0.8087, lr: 0.0106, train/prefecth_time: 0.0745 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 10:23:08,750 INFO] select_ulb_dist:
[0.000e+00 1.000e+00 1.180e+02 2.630e+02 3.490e+02 8.960e+02 4.454e+03
 5.930e+02 2.381e+03 1.975e+03]
[2025-04-20 10:23:08,751 INFO] lb_select_ulb_dist:
[ 400.  240.  261.  349.  400.  926. 4472.  604. 2387. 1979.]
[2025-04-20 10:23:08,762 INFO] 225: Update the labeled data.
[2025-04-20 10:24:32,291 INFO] 230656 iteration USE_EMA: True, train/sup_loss: 0.1576, train/aux_loss: 0.0944, train/total_loss: 0.2521, train/util_ratio: 0.8594, train/run_time: 0.1668, lr: 0.0106, train/prefecth_time: 0.0065 
[2025-04-20 10:25:28,407 INFO] 230912 iteration USE_EMA: True, train/sup_loss: 0.4533, train/aux_loss: 0.7275, train/total_loss: 1.1808, train/util_ratio: 0.4397, train/run_time: 0.1559, lr: 0.0106, train/prefecth_time: 0.0070 
[2025-04-20 10:26:25,032 INFO] 231168 iteration USE_EMA: True, train/sup_loss: 0.2054, train/aux_loss: 0.3500, train/total_loss: 0.5554, train/util_ratio: 0.6540, train/run_time: 0.1736, lr: 0.0105, train/prefecth_time: 0.0107 
[2025-04-20 10:27:21,196 INFO] validating...
[2025-04-20 10:27:23,595 INFO] confusion matrix:
[[0.867 0.006 0.035 0.003 0.014 0.003 0.006 0.005 0.041 0.02 ]
 [0.006 0.947 0.002 0.    0.    0.001 0.002 0.    0.005 0.037]
 [0.07  0.001 0.667 0.021 0.068 0.06  0.092 0.011 0.005 0.005]
 [0.028 0.006 0.067 0.504 0.056 0.196 0.104 0.021 0.005 0.013]
 [0.016 0.002 0.044 0.015 0.83  0.017 0.036 0.039 0.001 0.   ]
 [0.008 0.002 0.026 0.08  0.034 0.779 0.018 0.052 0.    0.001]
 [0.006 0.001 0.008 0.033 0.005 0.002 0.94  0.002 0.001 0.002]
 [0.008 0.001 0.026 0.023 0.039 0.048 0.006 0.844 0.003 0.002]
 [0.017 0.004 0.002 0.001 0.003 0.    0.002 0.    0.862 0.109]
 [0.006 0.031 0.003 0.006 0.    0.001 0.001 0.    0.007 0.945]]
[2025-04-20 10:27:24,049 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 10:27:24,050 INFO] 231424 iteration, USE_EMA: True, train/sup_loss: 0.1830, train/aux_loss: 0.1432, train/total_loss: 0.3261, train/util_ratio: 0.8080, train/run_time: 0.1920, eval/loss: 0.7372, eval/top-1-acc: 0.8185, eval/top-5-acc: 0.9817, eval/balanced_acc: 0.8185, eval/precision: 0.8179, eval/recall: 0.8185, eval/F1: 0.8143, lr: 0.0105, train/prefecth_time: 0.0043 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 10:28:21,581 INFO] 231680 iteration USE_EMA: True, train/sup_loss: 0.1690, train/aux_loss: 0.1219, train/total_loss: 0.2909, train/util_ratio: 0.8281, train/run_time: 0.2339, lr: 0.0105, train/prefecth_time: 0.0078 
[2025-04-20 10:29:17,883 INFO] 231936 iteration USE_EMA: True, train/sup_loss: 0.1609, train/aux_loss: 0.1006, train/total_loss: 0.2615, train/util_ratio: 0.8527, train/run_time: 0.1546, lr: 0.0104, train/prefecth_time: 0.0075 
[2025-04-20 10:30:13,264 INFO] 232192 iteration USE_EMA: True, train/sup_loss: 0.1315, train/aux_loss: 0.1010, train/total_loss: 0.2325, train/util_ratio: 0.8326, train/run_time: 0.1709, lr: 0.0104, train/prefecth_time: 0.0083 
[2025-04-20 10:31:08,918 INFO] validating...
[2025-04-20 10:31:11,564 INFO] confusion matrix:
[[0.88  0.005 0.027 0.004 0.009 0.005 0.009 0.003 0.041 0.017]
 [0.006 0.941 0.002 0.    0.    0.001 0.003 0.    0.006 0.041]
 [0.076 0.002 0.664 0.025 0.058 0.066 0.086 0.013 0.007 0.003]
 [0.032 0.007 0.05  0.523 0.044 0.205 0.096 0.022 0.008 0.013]
 [0.019 0.001 0.049 0.023 0.795 0.027 0.037 0.046 0.002 0.001]
 [0.006 0.002 0.025 0.079 0.028 0.789 0.019 0.049 0.    0.003]
 [0.007 0.001 0.008 0.034 0.005 0.003 0.939 0.001 0.001 0.001]
 [0.013 0.001 0.024 0.024 0.035 0.048 0.006 0.843 0.004 0.002]
 [0.02  0.007 0.004 0.001 0.002 0.    0.001 0.    0.862 0.103]
 [0.009 0.028 0.002 0.006 0.    0.001 0.    0.    0.006 0.948]]
[2025-04-20 10:31:11,963 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 10:31:11,964 INFO] 232448 iteration, USE_EMA: True, train/sup_loss: 0.1865, train/aux_loss: 0.0769, train/total_loss: 0.2634, train/util_ratio: 0.8661, train/run_time: 0.1456, eval/loss: 0.7597, eval/top-1-acc: 0.8184, eval/top-5-acc: 0.9805, eval/balanced_acc: 0.8184, eval/precision: 0.8183, eval/recall: 0.8184, eval/F1: 0.8146, lr: 0.0103, train/prefecth_time: 0.0114 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 10:32:09,796 INFO] 232704 iteration USE_EMA: True, train/sup_loss: 0.1633, train/aux_loss: 0.0836, train/total_loss: 0.2469, train/util_ratio: 0.8549, train/run_time: 0.1827, lr: 0.0103, train/prefecth_time: 0.0063 
[2025-04-20 10:33:05,189 INFO] 232960 iteration USE_EMA: True, train/sup_loss: 0.1492, train/aux_loss: 0.0942, train/total_loss: 0.2434, train/util_ratio: 0.8705, train/run_time: 0.1837, lr: 0.0103, train/prefecth_time: 0.0874 
[2025-04-20 10:34:00,738 INFO] 233216 iteration USE_EMA: True, train/sup_loss: 0.1281, train/aux_loss: 0.1027, train/total_loss: 0.2308, train/util_ratio: 0.8348, train/run_time: 0.4112, lr: 0.0102, train/prefecth_time: 0.0057 
[2025-04-20 10:34:56,018 INFO] validating...
[2025-04-20 10:34:58,633 INFO] confusion matrix:
[[0.881 0.005 0.029 0.006 0.009 0.005 0.008 0.003 0.037 0.017]
 [0.006 0.94  0.004 0.    0.    0.001 0.002 0.    0.006 0.041]
 [0.08  0.001 0.659 0.023 0.063 0.07  0.083 0.013 0.005 0.003]
 [0.032 0.007 0.049 0.518 0.04  0.217 0.094 0.023 0.007 0.013]
 [0.016 0.002 0.049 0.023 0.799 0.026 0.035 0.048 0.001 0.001]
 [0.007 0.001 0.023 0.082 0.024 0.788 0.018 0.053 0.001 0.003]
 [0.007 0.001 0.006 0.032 0.006 0.004 0.941 0.001 0.001 0.001]
 [0.011 0.001 0.024 0.024 0.034 0.052 0.005 0.843 0.004 0.002]
 [0.02  0.007 0.004 0.003 0.002 0.    0.001 0.    0.861 0.102]
 [0.01  0.025 0.003 0.006 0.001 0.001 0.    0.    0.006 0.948]]
[2025-04-20 10:34:59,406 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 10:34:59,407 INFO] 233472 iteration, USE_EMA: True, train/sup_loss: 0.1859, train/aux_loss: 0.1197, train/total_loss: 0.3057, train/util_ratio: 0.8058, train/run_time: 0.1474, eval/loss: 0.7627, eval/top-1-acc: 0.8178, eval/top-5-acc: 0.9785, eval/balanced_acc: 0.8178, eval/precision: 0.8179, eval/recall: 0.8178, eval/F1: 0.8141, lr: 0.0102, train/prefecth_time: 0.0365 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 10:35:56,781 INFO] 233728 iteration USE_EMA: True, train/sup_loss: 0.1576, train/aux_loss: 0.0581, train/total_loss: 0.2157, train/util_ratio: 0.8304, train/run_time: 0.1792, lr: 0.0102, train/prefecth_time: 0.0493 
[2025-04-20 10:36:52,774 INFO] 233984 iteration USE_EMA: True, train/sup_loss: 0.1483, train/aux_loss: 0.1241, train/total_loss: 0.2724, train/util_ratio: 0.8348, train/run_time: 0.2140, lr: 0.0101, train/prefecth_time: 0.0087 
[2025-04-20 10:37:47,868 INFO] 234240 iteration USE_EMA: True, train/sup_loss: 0.1273, train/aux_loss: 0.0948, train/total_loss: 0.2221, train/util_ratio: 0.8661, train/run_time: 0.1776, lr: 0.0101, train/prefecth_time: 0.0222 
[2025-04-20 10:38:43,778 INFO] validating...
[2025-04-20 10:38:46,121 INFO] confusion matrix:
[[0.886 0.003 0.022 0.005 0.008 0.005 0.007 0.004 0.042 0.018]
 [0.006 0.94  0.002 0.    0.    0.001 0.002 0.    0.008 0.041]
 [0.081 0.003 0.644 0.025 0.062 0.072 0.088 0.017 0.005 0.003]
 [0.028 0.009 0.048 0.503 0.049 0.226 0.096 0.023 0.006 0.012]
 [0.016 0.001 0.049 0.025 0.796 0.026 0.035 0.05  0.002 0.   ]
 [0.007 0.001 0.02  0.077 0.025 0.786 0.019 0.06  0.001 0.004]
 [0.007 0.001 0.004 0.029 0.007 0.003 0.946 0.001 0.001 0.001]
 [0.011 0.001 0.026 0.025 0.036 0.05  0.005 0.839 0.005 0.002]
 [0.016 0.012 0.004 0.004 0.003 0.    0.001 0.    0.858 0.102]
 [0.012 0.026 0.001 0.006 0.    0.002 0.001 0.001 0.005 0.946]]
[2025-04-20 10:38:46,603 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 10:38:46,603 INFO] 234496 iteration, USE_EMA: True, train/sup_loss: 0.1851, train/aux_loss: 0.0842, train/total_loss: 0.2693, train/util_ratio: 0.8170, train/run_time: 0.2287, eval/loss: 0.7702, eval/top-1-acc: 0.8144, eval/top-5-acc: 0.9769, eval/balanced_acc: 0.8144, eval/precision: 0.8143, eval/recall: 0.8144, eval/F1: 0.8100, lr: 0.0100, train/prefecth_time: 0.0050 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 10:39:43,672 INFO] 234752 iteration USE_EMA: True, train/sup_loss: 0.1576, train/aux_loss: 0.0563, train/total_loss: 0.2139, train/util_ratio: 0.8661, train/run_time: 0.1613, lr: 0.0100, train/prefecth_time: 0.0779 
[2025-04-20 10:40:39,107 INFO] 235008 iteration USE_EMA: True, train/sup_loss: 0.1483, train/aux_loss: 0.1190, train/total_loss: 0.2672, train/util_ratio: 0.8460, train/run_time: 0.1561, lr: 0.0100, train/prefecth_time: 0.0079 
[2025-04-20 10:41:34,898 INFO] 235264 iteration USE_EMA: True, train/sup_loss: 0.1270, train/aux_loss: 0.0724, train/total_loss: 0.1994, train/util_ratio: 0.8616, train/run_time: 0.1752, lr: 0.0099, train/prefecth_time: 0.0100 
[2025-04-20 10:42:41,599 INFO] validating...
[2025-04-20 10:42:44,094 INFO] confusion matrix:
[[0.892 0.003 0.021 0.004 0.007 0.004 0.007 0.004 0.043 0.015]
 [0.007 0.938 0.001 0.    0.    0.001 0.002 0.    0.009 0.042]
 [0.082 0.003 0.645 0.027 0.06  0.069 0.088 0.017 0.005 0.004]
 [0.031 0.009 0.049 0.489 0.044 0.234 0.097 0.027 0.006 0.014]
 [0.017 0.003 0.045 0.024 0.79  0.025 0.036 0.057 0.002 0.001]
 [0.007 0.    0.022 0.077 0.025 0.788 0.021 0.056 0.001 0.003]
 [0.007 0.001 0.004 0.026 0.006 0.004 0.949 0.001 0.001 0.001]
 [0.011 0.001 0.022 0.025 0.037 0.051 0.005 0.841 0.005 0.002]
 [0.016 0.01  0.003 0.004 0.002 0.001 0.002 0.    0.864 0.098]
 [0.012 0.021 0.001 0.006 0.001 0.002 0.    0.001 0.006 0.95 ]]
[2025-04-20 10:42:44,453 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 10:42:44,454 INFO] 235520 iteration, USE_EMA: True, train/sup_loss: 0.1819, train/aux_loss: 0.1307, train/total_loss: 0.3126, train/util_ratio: 0.8281, train/run_time: 0.8187, eval/loss: 0.7643, eval/top-1-acc: 0.8146, eval/top-5-acc: 0.9780, eval/balanced_acc: 0.8146, eval/precision: 0.8146, eval/recall: 0.8146, eval/F1: 0.8099, lr: 0.0099, train/prefecth_time: 0.0054 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 10:45:08,049 INFO] select_ulb_dist:
[3.000e+00 8.200e+01 1.180e+02 2.630e+02 3.490e+02 8.960e+02 4.454e+03
 5.930e+02 2.381e+03 1.975e+03]
[2025-04-20 10:45:08,050 INFO] lb_select_ulb_dist:
[ 403.  321.  261.  349.  400.  926. 4472.  604. 2387. 1979.]
[2025-04-20 10:45:08,064 INFO] 230: Update the labeled data.
[2025-04-20 10:50:07,002 INFO] 235776 iteration USE_EMA: True, train/sup_loss: 0.1503, train/aux_loss: 0.0771, train/total_loss: 0.2273, train/util_ratio: 0.8504, train/run_time: 0.8704, lr: 0.0099, train/prefecth_time: 0.0064 
[2025-04-20 10:51:33,953 INFO] 236032 iteration USE_EMA: True, train/sup_loss: 0.1992, train/aux_loss: 0.2673, train/total_loss: 0.4665, train/util_ratio: 0.7121, train/run_time: 0.1713, lr: 0.0098, train/prefecth_time: 0.0071 
[2025-04-20 10:52:30,047 INFO] 236288 iteration USE_EMA: True, train/sup_loss: 0.3401, train/aux_loss: 0.5727, train/total_loss: 0.9128, train/util_ratio: 0.6094, train/run_time: 0.1867, lr: 0.0098, train/prefecth_time: 0.0471 
[2025-04-20 10:53:26,250 INFO] validating...
[2025-04-20 10:53:28,742 INFO] confusion matrix:
[[0.896 0.002 0.026 0.004 0.008 0.006 0.005 0.002 0.032 0.019]
 [0.007 0.938 0.004 0.    0.    0.001 0.002 0.    0.009 0.039]
 [0.074 0.002 0.686 0.023 0.051 0.07  0.076 0.01  0.005 0.003]
 [0.028 0.005 0.06  0.516 0.045 0.218 0.09  0.023 0.005 0.01 ]
 [0.015 0.001 0.047 0.02  0.811 0.025 0.032 0.048 0.001 0.   ]
 [0.009 0.001 0.036 0.074 0.029 0.784 0.018 0.048 0.    0.001]
 [0.004 0.    0.01  0.033 0.005 0.004 0.941 0.001 0.001 0.001]
 [0.008 0.001 0.03  0.021 0.038 0.054 0.005 0.838 0.004 0.001]
 [0.02  0.007 0.005 0.002 0.003 0.    0.    0.    0.863 0.1  ]
 [0.01  0.025 0.005 0.002 0.    0.002 0.001 0.    0.006 0.949]]
[2025-04-20 10:53:29,231 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 10:53:29,232 INFO] 236544 iteration, USE_EMA: True, train/sup_loss: 0.1726, train/aux_loss: 0.3378, train/total_loss: 0.5105, train/util_ratio: 0.6920, train/run_time: 0.1654, eval/loss: 0.7196, eval/top-1-acc: 0.8222, eval/top-5-acc: 0.9834, eval/balanced_acc: 0.8222, eval/precision: 0.8227, eval/recall: 0.8222, eval/F1: 0.8187, lr: 0.0097, train/prefecth_time: 0.0059 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 10:57:48,854 INFO] 236800 iteration USE_EMA: True, train/sup_loss: 0.1512, train/aux_loss: 0.1480, train/total_loss: 0.2992, train/util_ratio: 0.8281, train/run_time: 0.8388, lr: 0.0097, train/prefecth_time: 0.0057 
[2025-04-20 11:02:17,685 INFO] 237056 iteration USE_EMA: True, train/sup_loss: 0.1387, train/aux_loss: 0.1300, train/total_loss: 0.2688, train/util_ratio: 0.8170, train/run_time: 1.0649, lr: 0.0097, train/prefecth_time: 0.0064 
[2025-04-20 11:04:24,171 INFO] 237312 iteration USE_EMA: True, train/sup_loss: 0.1601, train/aux_loss: 0.1372, train/total_loss: 0.2973, train/util_ratio: 0.8371, train/run_time: 0.1523, lr: 0.0096, train/prefecth_time: 0.0059 
[2025-04-20 11:07:39,513 INFO] validating...
[2025-04-20 11:07:41,994 INFO] confusion matrix:
[[0.881 0.002 0.031 0.004 0.01  0.005 0.005 0.003 0.042 0.017]
 [0.01  0.933 0.003 0.001 0.    0.001 0.002 0.    0.011 0.039]
 [0.072 0.002 0.674 0.024 0.061 0.068 0.08  0.009 0.005 0.005]
 [0.035 0.006 0.058 0.496 0.044 0.226 0.091 0.024 0.007 0.013]
 [0.013 0.003 0.046 0.024 0.806 0.03  0.033 0.043 0.002 0.   ]
 [0.009 0.    0.032 0.074 0.029 0.782 0.019 0.052 0.    0.003]
 [0.004 0.    0.011 0.031 0.005 0.003 0.942 0.001 0.001 0.002]
 [0.012 0.001 0.03  0.015 0.036 0.051 0.005 0.843 0.006 0.001]
 [0.016 0.008 0.004 0.001 0.003 0.    0.001 0.    0.869 0.098]
 [0.01  0.026 0.003 0.004 0.001 0.002 0.002 0.    0.006 0.946]]
[2025-04-20 11:07:43,777 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 11:07:43,779 INFO] 237568 iteration, USE_EMA: True, train/sup_loss: 0.1002, train/aux_loss: 0.1369, train/total_loss: 0.2371, train/util_ratio: 0.8393, train/run_time: 0.6364, eval/loss: 0.7639, eval/top-1-acc: 0.8172, eval/top-5-acc: 0.9812, eval/balanced_acc: 0.8172, eval/precision: 0.8172, eval/recall: 0.8172, eval/F1: 0.8131, lr: 0.0096, train/prefecth_time: 0.0044 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 11:10:45,769 INFO] 237824 iteration USE_EMA: True, train/sup_loss: 0.1499, train/aux_loss: 0.0692, train/total_loss: 0.2191, train/util_ratio: 0.8571, train/run_time: 0.5224, lr: 0.0095, train/prefecth_time: 0.0068 
[2025-04-20 11:12:59,537 INFO] 238080 iteration USE_EMA: True, train/sup_loss: 0.1314, train/aux_loss: 0.0926, train/total_loss: 0.2239, train/util_ratio: 0.8259, train/run_time: 0.1690, lr: 0.0095, train/prefecth_time: 0.0048 
[2025-04-20 11:14:55,047 INFO] 238336 iteration USE_EMA: True, train/sup_loss: 0.1702, train/aux_loss: 0.1103, train/total_loss: 0.2805, train/util_ratio: 0.8058, train/run_time: 0.6704, lr: 0.0095, train/prefecth_time: 0.0078 
[2025-04-20 11:18:07,174 INFO] validating...
[2025-04-20 11:18:09,634 INFO] confusion matrix:
[[0.879 0.002 0.029 0.004 0.008 0.005 0.007 0.003 0.044 0.019]
 [0.008 0.936 0.001 0.    0.    0.001 0.002 0.    0.01  0.042]
 [0.079 0.002 0.671 0.02  0.061 0.066 0.081 0.008 0.006 0.006]
 [0.033 0.008 0.053 0.485 0.045 0.243 0.088 0.025 0.006 0.014]
 [0.015 0.003 0.045 0.018 0.796 0.029 0.041 0.049 0.003 0.001]
 [0.011 0.    0.032 0.068 0.026 0.787 0.019 0.055 0.    0.002]
 [0.005 0.    0.012 0.031 0.006 0.002 0.941 0.001 0.001 0.001]
 [0.013 0.001 0.023 0.015 0.037 0.054 0.004 0.846 0.006 0.001]
 [0.017 0.009 0.004 0.001 0.003 0.    0.001 0.    0.869 0.096]
 [0.008 0.031 0.002 0.004 0.001 0.002 0.002 0.001 0.007 0.942]]
[2025-04-20 11:18:10,010 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 11:18:10,011 INFO] 238592 iteration, USE_EMA: True, train/sup_loss: 0.1009, train/aux_loss: 0.0810, train/total_loss: 0.1820, train/util_ratio: 0.8549, train/run_time: 0.8330, eval/loss: 0.7745, eval/top-1-acc: 0.8152, eval/top-5-acc: 0.9778, eval/balanced_acc: 0.8152, eval/precision: 0.8159, eval/recall: 0.8152, eval/F1: 0.8107, lr: 0.0094, train/prefecth_time: 0.0065 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 11:21:30,416 INFO] 238848 iteration USE_EMA: True, train/sup_loss: 0.1491, train/aux_loss: 0.0618, train/total_loss: 0.2109, train/util_ratio: 0.8661, train/run_time: 0.6248, lr: 0.0094, train/prefecth_time: 0.0049 
[2025-04-20 11:22:31,585 INFO] 239104 iteration USE_EMA: True, train/sup_loss: 0.1311, train/aux_loss: 0.0852, train/total_loss: 0.2163, train/util_ratio: 0.8371, train/run_time: 0.1697, lr: 0.0094, train/prefecth_time: 0.0073 
[2025-04-20 11:23:30,163 INFO] 239360 iteration USE_EMA: True, train/sup_loss: 0.1624, train/aux_loss: 0.0927, train/total_loss: 0.2551, train/util_ratio: 0.8504, train/run_time: 0.7373, lr: 0.0093, train/prefecth_time: 0.0089 
[2025-04-20 11:26:32,377 INFO] validating...
[2025-04-20 11:26:34,726 INFO] confusion matrix:
[[0.884 0.005 0.024 0.003 0.009 0.006 0.007 0.002 0.043 0.017]
 [0.008 0.939 0.    0.    0.    0.001 0.002 0.    0.008 0.042]
 [0.085 0.001 0.658 0.022 0.056 0.07  0.087 0.009 0.006 0.006]
 [0.039 0.007 0.053 0.473 0.042 0.247 0.091 0.025 0.008 0.015]
 [0.02  0.005 0.045 0.017 0.781 0.03  0.044 0.053 0.003 0.002]
 [0.012 0.    0.029 0.07  0.024 0.791 0.018 0.053 0.    0.003]
 [0.005 0.    0.009 0.031 0.006 0.002 0.944 0.001 0.001 0.001]
 [0.012 0.    0.021 0.012 0.041 0.057 0.005 0.845 0.006 0.001]
 [0.017 0.006 0.004 0.001 0.003 0.    0.002 0.    0.867 0.1  ]
 [0.009 0.028 0.001 0.003 0.    0.003 0.003 0.001 0.009 0.943]]
[2025-04-20 11:26:35,095 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 11:26:35,096 INFO] 239616 iteration, USE_EMA: True, train/sup_loss: 0.0975, train/aux_loss: 0.1519, train/total_loss: 0.2494, train/util_ratio: 0.8438, train/run_time: 0.7256, eval/loss: 0.7802, eval/top-1-acc: 0.8125, eval/top-5-acc: 0.9787, eval/balanced_acc: 0.8125, eval/precision: 0.8138, eval/recall: 0.8125, eval/F1: 0.8076, lr: 0.0093, train/prefecth_time: 0.0065 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 11:29:45,133 INFO] 239872 iteration USE_EMA: True, train/sup_loss: 0.1511, train/aux_loss: 0.0573, train/total_loss: 0.2084, train/util_ratio: 0.8973, train/run_time: 0.7121, lr: 0.0092, train/prefecth_time: 0.0044 
[2025-04-20 11:31:42,475 INFO] 240128 iteration USE_EMA: True, train/sup_loss: 0.1323, train/aux_loss: 0.0805, train/total_loss: 0.2129, train/util_ratio: 0.8482, train/run_time: 0.1674, lr: 0.0092, train/prefecth_time: 0.0711 
[2025-04-20 11:33:55,291 INFO] 240384 iteration USE_EMA: True, train/sup_loss: 0.1605, train/aux_loss: 0.0759, train/total_loss: 0.2364, train/util_ratio: 0.8371, train/run_time: 0.4599, lr: 0.0092, train/prefecth_time: 0.0047 
[2025-04-20 11:36:35,747 INFO] validating...
[2025-04-20 11:36:38,129 INFO] confusion matrix:
[[0.882 0.006 0.027 0.003 0.008 0.006 0.007 0.003 0.043 0.015]
 [0.007 0.93  0.    0.    0.    0.001 0.001 0.    0.013 0.048]
 [0.088 0.003 0.646 0.022 0.057 0.063 0.092 0.015 0.006 0.008]
 [0.033 0.01  0.049 0.477 0.043 0.245 0.096 0.027 0.007 0.013]
 [0.016 0.004 0.045 0.018 0.789 0.03  0.042 0.052 0.003 0.001]
 [0.014 0.    0.028 0.071 0.026 0.781 0.018 0.06  0.    0.002]
 [0.008 0.    0.007 0.032 0.006 0.004 0.94  0.001 0.001 0.001]
 [0.009 0.    0.021 0.015 0.039 0.054 0.005 0.852 0.004 0.001]
 [0.017 0.007 0.004 0.    0.003 0.001 0.002 0.    0.866 0.1  ]
 [0.01  0.024 0.002 0.004 0.    0.003 0.002 0.    0.007 0.948]]
[2025-04-20 11:36:38,563 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 11:36:38,564 INFO] 240640 iteration, USE_EMA: True, train/sup_loss: 0.0979, train/aux_loss: 0.0774, train/total_loss: 0.1753, train/util_ratio: 0.8750, train/run_time: 0.6780, eval/loss: 0.7757, eval/top-1-acc: 0.8111, eval/top-5-acc: 0.9775, eval/balanced_acc: 0.8111, eval/precision: 0.8120, eval/recall: 0.8111, eval/F1: 0.8062, lr: 0.0091, train/prefecth_time: 0.0044 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 11:38:59,274 INFO] select_ulb_dist:
[1.000e+00 6.700e+01 1.180e+02 2.630e+02 3.490e+02 8.960e+02 4.454e+03
 5.930e+02 2.381e+03 1.975e+03]
[2025-04-20 11:38:59,275 INFO] lb_select_ulb_dist:
[ 401.  306.  261.  349.  400.  926. 4472.  604. 2387. 1979.]
[2025-04-20 11:38:59,283 INFO] 235: Update the labeled data.
[2025-04-20 11:42:11,274 INFO] 240896 iteration USE_EMA: True, train/sup_loss: 0.1614, train/aux_loss: 0.1400, train/total_loss: 0.3014, train/util_ratio: 0.8147, train/run_time: 0.6597, lr: 0.0091, train/prefecth_time: 0.0057 
[2025-04-20 11:44:56,225 INFO] 241152 iteration USE_EMA: True, train/sup_loss: 0.1348, train/aux_loss: 0.1088, train/total_loss: 0.2436, train/util_ratio: 0.8527, train/run_time: 0.4909, lr: 0.0090, train/prefecth_time: 0.0053 
[2025-04-20 11:46:46,741 INFO] 241408 iteration USE_EMA: True, train/sup_loss: 0.1741, train/aux_loss: 0.0642, train/total_loss: 0.2384, train/util_ratio: 0.8683, train/run_time: 0.1650, lr: 0.0090, train/prefecth_time: 0.0073 
[2025-04-20 11:47:42,769 INFO] validating...
[2025-04-20 11:47:45,342 INFO] confusion matrix:
[[0.885 0.004 0.027 0.004 0.006 0.005 0.006 0.001 0.043 0.019]
 [0.007 0.935 0.    0.001 0.    0.001 0.002 0.    0.008 0.046]
 [0.083 0.003 0.65  0.024 0.056 0.072 0.082 0.016 0.005 0.009]
 [0.035 0.009 0.053 0.497 0.042 0.238 0.082 0.025 0.006 0.013]
 [0.018 0.003 0.05  0.02  0.786 0.028 0.034 0.057 0.002 0.002]
 [0.014 0.    0.031 0.069 0.022 0.786 0.015 0.061 0.    0.002]
 [0.008 0.001 0.006 0.033 0.006 0.003 0.939 0.001 0.002 0.001]
 [0.013 0.    0.021 0.018 0.039 0.052 0.005 0.846 0.005 0.001]
 [0.019 0.007 0.004 0.002 0.003 0.    0.002 0.    0.864 0.099]
 [0.01  0.022 0.002 0.004 0.    0.003 0.002 0.    0.007 0.95 ]]
[2025-04-20 11:47:45,703 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 11:47:45,704 INFO] 241664 iteration, USE_EMA: True, train/sup_loss: 0.2424, train/aux_loss: 0.0755, train/total_loss: 0.3179, train/util_ratio: 0.8460, train/run_time: 0.2265, eval/loss: 0.7687, eval/top-1-acc: 0.8138, eval/top-5-acc: 0.9775, eval/balanced_acc: 0.8138, eval/precision: 0.8143, eval/recall: 0.8138, eval/F1: 0.8094, lr: 0.0090, train/prefecth_time: 0.0698 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 11:49:08,898 INFO] 241920 iteration USE_EMA: True, train/sup_loss: 0.1523, train/aux_loss: 0.0603, train/total_loss: 0.2125, train/util_ratio: 0.8549, train/run_time: 0.7379, lr: 0.0089, train/prefecth_time: 0.0090 
[2025-04-20 11:51:49,215 INFO] 242176 iteration USE_EMA: True, train/sup_loss: 0.1364, train/aux_loss: 0.1079, train/total_loss: 0.2444, train/util_ratio: 0.8438, train/run_time: 0.4847, lr: 0.0089, train/prefecth_time: 0.0057 
[2025-04-20 11:54:33,582 INFO] 242432 iteration USE_EMA: True, train/sup_loss: 0.1778, train/aux_loss: 0.0842, train/total_loss: 0.2620, train/util_ratio: 0.8683, train/run_time: 0.6753, lr: 0.0089, train/prefecth_time: 0.0077 
[2025-04-20 11:55:48,280 INFO] validating...
[2025-04-20 11:55:51,346 INFO] confusion matrix:
[[0.886 0.004 0.024 0.002 0.009 0.006 0.007 0.001 0.042 0.019]
 [0.009 0.934 0.001 0.    0.    0.001 0.002 0.    0.006 0.047]
 [0.085 0.001 0.657 0.024 0.05  0.074 0.084 0.014 0.005 0.006]
 [0.033 0.009 0.051 0.481 0.041 0.248 0.095 0.023 0.005 0.014]
 [0.017 0.003 0.047 0.018 0.784 0.031 0.043 0.053 0.002 0.002]
 [0.009 0.    0.023 0.066 0.026 0.793 0.019 0.059 0.001 0.004]
 [0.008 0.001 0.007 0.029 0.003 0.004 0.945 0.001 0.001 0.001]
 [0.013 0.    0.022 0.019 0.039 0.052 0.005 0.843 0.005 0.002]
 [0.018 0.007 0.006 0.001 0.002 0.    0.    0.    0.869 0.097]
 [0.014 0.024 0.003 0.002 0.    0.002 0.    0.    0.007 0.948]]
[2025-04-20 11:55:51,669 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 11:55:51,670 INFO] 242688 iteration, USE_EMA: True, train/sup_loss: 0.2423, train/aux_loss: 0.0486, train/total_loss: 0.2910, train/util_ratio: 0.8817, train/run_time: 0.2243, eval/loss: 0.7686, eval/top-1-acc: 0.8140, eval/top-5-acc: 0.9779, eval/balanced_acc: 0.8140, eval/precision: 0.8157, eval/recall: 0.8140, eval/F1: 0.8094, lr: 0.0088, train/prefecth_time: 0.0427 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 11:56:49,299 INFO] 242944 iteration USE_EMA: True, train/sup_loss: 0.1543, train/aux_loss: 0.0913, train/total_loss: 0.2456, train/util_ratio: 0.8482, train/run_time: 0.1694, lr: 0.0088, train/prefecth_time: 0.0057 
[2025-04-20 11:57:44,270 INFO] 243200 iteration USE_EMA: True, train/sup_loss: 0.1358, train/aux_loss: 0.0952, train/total_loss: 0.2310, train/util_ratio: 0.8259, train/run_time: 0.1611, lr: 0.0087, train/prefecth_time: 0.0217 
[2025-04-20 11:58:39,191 INFO] 243456 iteration USE_EMA: True, train/sup_loss: 0.1730, train/aux_loss: 0.0961, train/total_loss: 0.2691, train/util_ratio: 0.8527, train/run_time: 0.1594, lr: 0.0087, train/prefecth_time: 0.0608 
[2025-04-20 12:00:28,777 INFO] validating...
[2025-04-20 12:00:31,178 INFO] confusion matrix:
[[0.895 0.003 0.025 0.002 0.005 0.005 0.007 0.002 0.04  0.016]
 [0.009 0.929 0.    0.001 0.    0.001 0.002 0.    0.008 0.05 ]
 [0.08  0.001 0.668 0.024 0.054 0.072 0.075 0.015 0.005 0.006]
 [0.033 0.005 0.059 0.477 0.043 0.238 0.098 0.027 0.006 0.014]
 [0.018 0.003 0.056 0.018 0.788 0.027 0.033 0.054 0.002 0.001]
 [0.008 0.001 0.029 0.066 0.024 0.796 0.019 0.053 0.    0.004]
 [0.006 0.001 0.008 0.03  0.004 0.004 0.944 0.001 0.001 0.001]
 [0.012 0.001 0.021 0.02  0.038 0.051 0.006 0.842 0.007 0.002]
 [0.018 0.008 0.005 0.    0.002 0.    0.    0.    0.866 0.101]
 [0.01  0.02  0.003 0.004 0.    0.002 0.001 0.    0.006 0.954]]
[2025-04-20 12:00:31,479 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 12:00:31,480 INFO] 243712 iteration, USE_EMA: True, train/sup_loss: 0.2436, train/aux_loss: 0.0557, train/total_loss: 0.2992, train/util_ratio: 0.8705, train/run_time: 0.6512, eval/loss: 0.7719, eval/top-1-acc: 0.8159, eval/top-5-acc: 0.9763, eval/balanced_acc: 0.8159, eval/precision: 0.8167, eval/recall: 0.8159, eval/F1: 0.8112, lr: 0.0087, train/prefecth_time: 0.0088 BEST_EVAL_ACC: 0.8230, at 161792 iters
[2025-04-20 12:03:17,465 INFO] 243968 iteration USE_EMA: True, train/sup_loss: 0.3682, train/aux_loss: 0.6399, train/total_loss: 1.0081, train/util_ratio: 0.4844, train/run_time: 0.6014, lr: 0.0086, train/prefecth_time: 0.0052 
[2025-04-20 12:05:51,592 INFO] 244224 iteration USE_EMA: True, train/sup_loss: 0.1758, train/aux_loss: 0.2831, train/total_loss: 0.4589, train/util_ratio: 0.7321, train/run_time: 0.1596, lr: 0.0086, train/prefecth_time: 0.0066 
[2025-04-20 12:06:55,699 INFO] 244480 iteration USE_EMA: True, train/sup_loss: 0.1842, train/aux_loss: 0.1670, train/total_loss: 0.3512, train/util_ratio: 0.7790, train/run_time: 0.2387, lr: 0.0085, train/prefecth_time: 0.0059 
[2025-04-20 12:07:53,155 INFO] validating...
[2025-04-20 12:07:55,708 INFO] confusion matrix:
[[0.887 0.006 0.026 0.003 0.007 0.005 0.006 0.003 0.039 0.018]
 [0.007 0.943 0.001 0.    0.    0.002 0.001 0.    0.002 0.044]
 [0.069 0.002 0.698 0.019 0.054 0.066 0.075 0.008 0.005 0.004]
 [0.024 0.007 0.059 0.525 0.046 0.202 0.1   0.021 0.004 0.012]
 [0.017 0.001 0.051 0.021 0.811 0.019 0.036 0.044 0.    0.   ]
 [0.01  0.    0.036 0.08  0.027 0.786 0.016 0.044 0.    0.001]
 [0.006 0.    0.008 0.036 0.003 0.003 0.94  0.001 0.001 0.002]
 [0.007 0.001 0.03  0.021 0.038 0.049 0.006 0.841 0.005 0.002]
 [0.018 0.011 0.004 0.    0.003 0.    0.001 0.    0.853 0.11 ]
 [0.01  0.024 0.002 0.005 0.    0.002 0.001 0.    0.007 0.949]]
[2025-04-20 12:07:56,224 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 12:07:56,616 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/model_best.pth
[2025-04-20 12:07:56,617 INFO] 244736 iteration, USE_EMA: True, train/sup_loss: 0.2437, train/aux_loss: 0.1157, train/total_loss: 0.3594, train/util_ratio: 0.8326, train/run_time: 0.1740, eval/loss: 0.7167, eval/top-1-acc: 0.8233, eval/top-5-acc: 0.9812, eval/balanced_acc: 0.8233, eval/precision: 0.8236, eval/recall: 0.8233, eval/F1: 0.8199, lr: 0.0085, train/prefecth_time: 0.0053 BEST_EVAL_ACC: 0.8233, at 244736 iters
[2025-04-20 12:09:59,416 INFO] 244992 iteration USE_EMA: True, train/sup_loss: 0.1536, train/aux_loss: 0.1493, train/total_loss: 0.3029, train/util_ratio: 0.8504, train/run_time: 0.4514, lr: 0.0085, train/prefecth_time: 0.0063 
[2025-04-20 12:12:09,138 INFO] 245248 iteration USE_EMA: True, train/sup_loss: 0.1388, train/aux_loss: 0.1102, train/total_loss: 0.2490, train/util_ratio: 0.8527, train/run_time: 0.3809, lr: 0.0084, train/prefecth_time: 0.0081 
[2025-04-20 12:13:46,825 INFO] 245504 iteration USE_EMA: True, train/sup_loss: 0.1721, train/aux_loss: 0.1040, train/total_loss: 0.2761, train/util_ratio: 0.8460, train/run_time: 0.1898, lr: 0.0084, train/prefecth_time: 0.0073 
[2025-04-20 12:14:42,212 INFO] validating...
[2025-04-20 12:14:44,671 INFO] confusion matrix:
[[0.897 0.003 0.019 0.003 0.005 0.007 0.007 0.003 0.038 0.018]
 [0.006 0.941 0.    0.001 0.    0.001 0.001 0.    0.005 0.045]
 [0.076 0.002 0.671 0.019 0.054 0.07  0.087 0.011 0.005 0.005]
 [0.027 0.007 0.048 0.507 0.038 0.234 0.102 0.019 0.006 0.012]
 [0.018 0.001 0.046 0.023 0.795 0.026 0.046 0.041 0.003 0.001]
 [0.013 0.    0.028 0.08  0.026 0.784 0.021 0.046 0.001 0.001]
 [0.008 0.    0.006 0.033 0.005 0.001 0.944 0.001 0.001 0.001]
 [0.01  0.    0.024 0.017 0.031 0.054 0.006 0.851 0.005 0.002]
 [0.017 0.01  0.004 0.001 0.003 0.    0.001 0.    0.862 0.102]
 [0.009 0.021 0.001 0.006 0.001 0.003 0.002 0.    0.006 0.951]]
[2025-04-20 12:14:45,121 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 12:14:45,122 INFO] 245760 iteration, USE_EMA: True, train/sup_loss: 0.2415, train/aux_loss: 0.1000, train/total_loss: 0.3415, train/util_ratio: 0.8214, train/run_time: 0.1736, eval/loss: 0.7553, eval/top-1-acc: 0.8203, eval/top-5-acc: 0.9802, eval/balanced_acc: 0.8203, eval/precision: 0.8218, eval/recall: 0.8203, eval/F1: 0.8165, lr: 0.0084, train/prefecth_time: 0.0112 BEST_EVAL_ACC: 0.8233, at 244736 iters
[2025-04-20 12:17:03,057 INFO] select_ulb_dist:
[   0.   62.  118.  263.  349.  896. 4454.  593. 2381. 1975.]
[2025-04-20 12:17:03,058 INFO] lb_select_ulb_dist:
[ 400.  301.  261.  349.  400.  926. 4472.  604. 2387. 1979.]
[2025-04-20 12:17:03,067 INFO] 240: Update the labeled data.
[2025-04-20 12:18:47,859 INFO] 246016 iteration USE_EMA: True, train/sup_loss: 0.1320, train/aux_loss: 0.0990, train/total_loss: 0.2310, train/util_ratio: 0.8438, train/run_time: 0.3615, lr: 0.0083, train/prefecth_time: 0.0060 
[2025-04-20 12:20:31,720 INFO] 246272 iteration USE_EMA: True, train/sup_loss: 0.1236, train/aux_loss: 0.1477, train/total_loss: 0.2713, train/util_ratio: 0.8839, train/run_time: 0.4505, lr: 0.0083, train/prefecth_time: 0.0076 
[2025-04-20 12:22:00,226 INFO] 246528 iteration USE_EMA: True, train/sup_loss: 0.1616, train/aux_loss: 0.0621, train/total_loss: 0.2237, train/util_ratio: 0.8683, train/run_time: 0.2066, lr: 0.0082, train/prefecth_time: 0.0095 
[2025-04-20 12:22:55,839 INFO] validating...
[2025-04-20 12:22:58,217 INFO] confusion matrix:
[[0.898 0.001 0.019 0.003 0.007 0.006 0.008 0.003 0.038 0.017]
 [0.006 0.94  0.    0.001 0.    0.001 0.001 0.    0.005 0.046]
 [0.082 0.001 0.658 0.025 0.052 0.073 0.082 0.016 0.005 0.006]
 [0.03  0.006 0.049 0.5   0.039 0.231 0.105 0.02  0.006 0.014]
 [0.019 0.002 0.049 0.021 0.787 0.027 0.042 0.049 0.002 0.002]
 [0.016 0.001 0.028 0.076 0.024 0.784 0.018 0.051 0.001 0.001]
 [0.008 0.    0.008 0.03  0.006 0.001 0.944 0.001 0.001 0.001]
 [0.011 0.001 0.021 0.016 0.033 0.048 0.006 0.858 0.004 0.002]
 [0.016 0.01  0.003 0.002 0.003 0.    0.001 0.001 0.862 0.102]
 [0.01  0.021 0.002 0.005 0.    0.003 0.002 0.    0.006 0.951]]
[2025-04-20 12:22:58,540 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 12:22:58,542 INFO] 246784 iteration, USE_EMA: True, train/sup_loss: 0.1222, train/aux_loss: 0.0811, train/total_loss: 0.2033, train/util_ratio: 0.8795, train/run_time: 0.2323, eval/loss: 0.7597, eval/top-1-acc: 0.8182, eval/top-5-acc: 0.9789, eval/balanced_acc: 0.8182, eval/precision: 0.8193, eval/recall: 0.8182, eval/F1: 0.8139, lr: 0.0082, train/prefecth_time: 0.0062 BEST_EVAL_ACC: 0.8233, at 244736 iters
[2025-04-20 12:23:55,529 INFO] 247040 iteration USE_EMA: True, train/sup_loss: 0.1343, train/aux_loss: 0.0816, train/total_loss: 0.2159, train/util_ratio: 0.8415, train/run_time: 0.1702, lr: 0.0082, train/prefecth_time: 0.0067 
[2025-04-20 12:24:51,732 INFO] 247296 iteration USE_EMA: True, train/sup_loss: 0.1216, train/aux_loss: 0.1113, train/total_loss: 0.2329, train/util_ratio: 0.8862, train/run_time: 0.3082, lr: 0.0081, train/prefecth_time: 0.0058 
[2025-04-20 12:25:59,583 INFO] 247552 iteration USE_EMA: True, train/sup_loss: 0.1632, train/aux_loss: 0.0705, train/total_loss: 0.2338, train/util_ratio: 0.8504, train/run_time: 0.1560, lr: 0.0081, train/prefecth_time: 0.0094 
[2025-04-20 12:26:53,684 INFO] validating...
[2025-04-20 12:26:56,050 INFO] confusion matrix:
[[0.899 0.    0.019 0.003 0.009 0.005 0.007 0.002 0.04  0.016]
 [0.007 0.936 0.    0.001 0.    0.001 0.001 0.    0.006 0.048]
 [0.082 0.    0.652 0.025 0.057 0.073 0.085 0.015 0.005 0.006]
 [0.031 0.006 0.047 0.493 0.037 0.244 0.101 0.022 0.007 0.012]
 [0.017 0.002 0.053 0.02  0.785 0.029 0.041 0.049 0.003 0.001]
 [0.014 0.001 0.025 0.079 0.02  0.785 0.019 0.053 0.002 0.002]
 [0.007 0.    0.008 0.031 0.005 0.001 0.945 0.001 0.001 0.001]
 [0.013 0.001 0.021 0.017 0.034 0.047 0.006 0.854 0.005 0.002]
 [0.017 0.009 0.003 0.002 0.002 0.    0.002 0.    0.866 0.099]
 [0.011 0.022 0.002 0.004 0.    0.002 0.001 0.    0.006 0.952]]
[2025-04-20 12:26:56,376 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 12:26:56,377 INFO] 247808 iteration, USE_EMA: True, train/sup_loss: 0.1217, train/aux_loss: 0.1013, train/total_loss: 0.2230, train/util_ratio: 0.8482, train/run_time: 0.1583, eval/loss: 0.7569, eval/top-1-acc: 0.8167, eval/top-5-acc: 0.9793, eval/balanced_acc: 0.8167, eval/precision: 0.8177, eval/recall: 0.8167, eval/F1: 0.8123, lr: 0.0080, train/prefecth_time: 0.0628 BEST_EVAL_ACC: 0.8233, at 244736 iters
[2025-04-20 12:27:53,477 INFO] 248064 iteration USE_EMA: True, train/sup_loss: 0.1308, train/aux_loss: 0.0796, train/total_loss: 0.2104, train/util_ratio: 0.8460, train/run_time: 0.1712, lr: 0.0080, train/prefecth_time: 0.0401 
[2025-04-20 12:28:48,420 INFO] 248320 iteration USE_EMA: True, train/sup_loss: 0.1211, train/aux_loss: 0.0982, train/total_loss: 0.2192, train/util_ratio: 0.8594, train/run_time: 0.1528, lr: 0.0080, train/prefecth_time: 0.0075 
[2025-04-20 12:29:43,172 INFO] 248576 iteration USE_EMA: True, train/sup_loss: 0.1619, train/aux_loss: 0.0578, train/total_loss: 0.2198, train/util_ratio: 0.8438, train/run_time: 0.2117, lr: 0.0079, train/prefecth_time: 0.0890 
[2025-04-20 12:30:37,513 INFO] validating...
[2025-04-20 12:30:39,994 INFO] confusion matrix:
[[0.909 0.003 0.017 0.003 0.006 0.005 0.007 0.003 0.033 0.014]
 [0.007 0.931 0.    0.001 0.    0.001 0.001 0.001 0.006 0.052]
 [0.082 0.    0.638 0.024 0.055 0.078 0.095 0.018 0.005 0.005]
 [0.037 0.008 0.045 0.48  0.037 0.246 0.1   0.028 0.005 0.014]
 [0.019 0.002 0.048 0.018 0.785 0.028 0.045 0.053 0.001 0.001]
 [0.017 0.001 0.026 0.08  0.022 0.78  0.019 0.051 0.002 0.002]
 [0.006 0.001 0.007 0.03  0.003 0.001 0.949 0.001 0.001 0.001]
 [0.015 0.001 0.021 0.016 0.036 0.047 0.006 0.85  0.005 0.003]
 [0.018 0.01  0.004 0.002 0.002 0.001 0.002 0.    0.861 0.1  ]
 [0.01  0.023 0.    0.006 0.    0.002 0.001 0.    0.006 0.952]]
[2025-04-20 12:30:40,326 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 12:30:40,326 INFO] 248832 iteration, USE_EMA: True, train/sup_loss: 0.1368, train/aux_loss: 0.1037, train/total_loss: 0.2406, train/util_ratio: 0.8661, train/run_time: 0.1569, eval/loss: 0.7569, eval/top-1-acc: 0.8135, eval/top-5-acc: 0.9801, eval/balanced_acc: 0.8135, eval/precision: 0.8150, eval/recall: 0.8135, eval/F1: 0.8086, lr: 0.0079, train/prefecth_time: 0.0052 BEST_EVAL_ACC: 0.8233, at 244736 iters
[2025-04-20 12:31:37,185 INFO] 249088 iteration USE_EMA: True, train/sup_loss: 0.1352, train/aux_loss: 0.1070, train/total_loss: 0.2422, train/util_ratio: 0.8438, train/run_time: 0.2516, lr: 0.0079, train/prefecth_time: 0.0816 
[2025-04-20 12:32:32,089 INFO] 249344 iteration USE_EMA: True, train/sup_loss: 0.1222, train/aux_loss: 0.0762, train/total_loss: 0.1985, train/util_ratio: 0.8906, train/run_time: 0.1514, lr: 0.0078, train/prefecth_time: 0.0056 
[2025-04-20 12:33:26,524 INFO] 249600 iteration USE_EMA: True, train/sup_loss: 0.1604, train/aux_loss: 0.0703, train/total_loss: 0.2306, train/util_ratio: 0.8504, train/run_time: 0.1567, lr: 0.0078, train/prefecth_time: 0.0839 
[2025-04-20 12:34:21,086 INFO] validating...
[2025-04-20 12:34:23,594 INFO] confusion matrix:
[[0.907 0.003 0.015 0.003 0.007 0.004 0.007 0.004 0.032 0.018]
 [0.008 0.937 0.    0.001 0.    0.001 0.001 0.    0.005 0.047]
 [0.087 0.001 0.629 0.026 0.06  0.078 0.092 0.018 0.004 0.005]
 [0.037 0.007 0.046 0.49  0.035 0.243 0.102 0.024 0.005 0.011]
 [0.02  0.002 0.046 0.019 0.789 0.024 0.041 0.057 0.001 0.001]
 [0.017 0.001 0.023 0.078 0.024 0.784 0.017 0.053 0.001 0.002]
 [0.005 0.001 0.005 0.033 0.005 0.001 0.947 0.001 0.001 0.001]
 [0.01  0.001 0.021 0.015 0.03  0.056 0.005 0.855 0.005 0.002]
 [0.019 0.01  0.004 0.002 0.002 0.003 0.002 0.001 0.859 0.098]
 [0.008 0.022 0.    0.005 0.    0.001 0.002 0.    0.006 0.956]]
[2025-04-20 12:34:23,921 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 12:34:23,922 INFO] 249856 iteration, USE_EMA: True, train/sup_loss: 0.1197, train/aux_loss: 0.0947, train/total_loss: 0.2144, train/util_ratio: 0.8393, train/run_time: 0.1791, eval/loss: 0.7600, eval/top-1-acc: 0.8153, eval/top-5-acc: 0.9797, eval/balanced_acc: 0.8153, eval/precision: 0.8169, eval/recall: 0.8153, eval/F1: 0.8105, lr: 0.0077, train/prefecth_time: 0.0373 BEST_EVAL_ACC: 0.8233, at 244736 iters
[2025-04-20 12:35:32,870 INFO] 250112 iteration USE_EMA: True, train/sup_loss: 0.1315, train/aux_loss: 0.0665, train/total_loss: 0.1980, train/util_ratio: 0.8705, train/run_time: 0.2670, lr: 0.0077, train/prefecth_time: 0.0049 
[2025-04-20 12:36:42,059 INFO] 250368 iteration USE_EMA: True, train/sup_loss: 0.1208, train/aux_loss: 0.0520, train/total_loss: 0.1728, train/util_ratio: 0.8638, train/run_time: 0.2269, lr: 0.0077, train/prefecth_time: 0.0054 
[2025-04-20 12:37:51,023 INFO] 250624 iteration USE_EMA: True, train/sup_loss: 0.1643, train/aux_loss: 0.0825, train/total_loss: 0.2468, train/util_ratio: 0.8862, train/run_time: 0.2343, lr: 0.0076, train/prefecth_time: 0.0058 
[2025-04-20 12:38:58,647 INFO] validating...
[2025-04-20 12:39:01,292 INFO] confusion matrix:
[[0.909 0.002 0.017 0.003 0.007 0.004 0.006 0.005 0.03  0.017]
 [0.008 0.939 0.    0.    0.    0.001 0.001 0.    0.005 0.046]
 [0.084 0.001 0.625 0.026 0.064 0.077 0.097 0.018 0.004 0.004]
 [0.039 0.007 0.047 0.491 0.035 0.243 0.098 0.026 0.005 0.009]
 [0.021 0.002 0.045 0.017 0.793 0.022 0.041 0.055 0.003 0.001]
 [0.015 0.001 0.021 0.08  0.024 0.784 0.015 0.057 0.001 0.002]
 [0.008 0.001 0.006 0.032 0.004 0.002 0.943 0.001 0.002 0.001]
 [0.011 0.001 0.023 0.02  0.029 0.054 0.005 0.85  0.005 0.002]
 [0.016 0.01  0.003 0.003 0.002 0.002 0.001 0.001 0.861 0.101]
 [0.007 0.023 0.001 0.004 0.    0.002 0.002 0.    0.006 0.955]]
[2025-04-20 12:39:01,657 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 12:39:01,658 INFO] 250880 iteration, USE_EMA: True, train/sup_loss: 0.1290, train/aux_loss: 0.1476, train/total_loss: 0.2766, train/util_ratio: 0.7790, train/run_time: 0.2491, eval/loss: 0.7571, eval/top-1-acc: 0.8150, eval/top-5-acc: 0.9797, eval/balanced_acc: 0.8150, eval/precision: 0.8162, eval/recall: 0.8150, eval/F1: 0.8102, lr: 0.0076, train/prefecth_time: 0.0049 BEST_EVAL_ACC: 0.8233, at 244736 iters
[2025-04-20 12:41:24,935 INFO] select_ulb_dist:
[   0.   60.  118.  263.  349.  896. 4454.  593. 2381. 1975.]
[2025-04-20 12:41:24,936 INFO] lb_select_ulb_dist:
[ 400.  299.  261.  349.  400.  926. 4472.  604. 2387. 1979.]
[2025-04-20 12:41:24,945 INFO] 245: Update the labeled data.
[2025-04-20 12:42:59,871 INFO] 251136 iteration USE_EMA: True, train/sup_loss: 0.3521, train/aux_loss: 0.4914, train/total_loss: 0.8435, train/util_ratio: 0.6808, train/run_time: 0.2521, lr: 0.0075, train/prefecth_time: 0.0060 
[2025-04-20 12:44:07,201 INFO] 251392 iteration USE_EMA: True, train/sup_loss: 0.1173, train/aux_loss: 0.1915, train/total_loss: 0.3088, train/util_ratio: 0.7746, train/run_time: 0.2708, lr: 0.0075, train/prefecth_time: 0.0041 
[2025-04-20 12:45:15,062 INFO] 251648 iteration USE_EMA: True, train/sup_loss: 0.0851, train/aux_loss: 0.1091, train/total_loss: 0.1942, train/util_ratio: 0.8705, train/run_time: 0.1722, lr: 0.0075, train/prefecth_time: 0.0063 
[2025-04-20 12:46:20,639 INFO] validating...
[2025-04-20 12:46:25,911 INFO] confusion matrix:
[[0.867 0.002 0.033 0.008 0.012 0.006 0.006 0.006 0.044 0.016]
 [0.005 0.94  0.003 0.001 0.    0.001 0.001 0.    0.007 0.042]
 [0.062 0.002 0.675 0.02  0.074 0.073 0.073 0.01  0.006 0.005]
 [0.022 0.004 0.058 0.539 0.052 0.197 0.092 0.019 0.004 0.013]
 [0.015 0.002 0.049 0.016 0.834 0.017 0.03  0.037 0.    0.   ]
 [0.011 0.001 0.033 0.09  0.032 0.769 0.018 0.045 0.    0.001]
 [0.005 0.    0.009 0.032 0.006 0.001 0.942 0.001 0.002 0.002]
 [0.006 0.001 0.032 0.024 0.044 0.051 0.004 0.833 0.003 0.002]
 [0.018 0.008 0.004 0.003 0.003 0.001 0.002 0.    0.852 0.109]
 [0.005 0.024 0.002 0.005 0.    0.002 0.    0.001 0.007 0.954]]
[2025-04-20 12:46:26,315 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 12:46:26,316 INFO] 251904 iteration, USE_EMA: True, train/sup_loss: 0.1660, train/aux_loss: 0.0673, train/total_loss: 0.2333, train/util_ratio: 0.8929, train/run_time: 0.2215, eval/loss: 0.7253, eval/top-1-acc: 0.8205, eval/top-5-acc: 0.9823, eval/balanced_acc: 0.8205, eval/precision: 0.8204, eval/recall: 0.8205, eval/F1: 0.8174, lr: 0.0074, train/prefecth_time: 0.0051 BEST_EVAL_ACC: 0.8233, at 244736 iters
[2025-04-20 12:47:33,066 INFO] 252160 iteration USE_EMA: True, train/sup_loss: 0.2279, train/aux_loss: 0.0819, train/total_loss: 0.3098, train/util_ratio: 0.8683, train/run_time: 0.2641, lr: 0.0074, train/prefecth_time: 0.0055 
[2025-04-20 12:48:38,768 INFO] 252416 iteration USE_EMA: True, train/sup_loss: 0.0962, train/aux_loss: 0.0685, train/total_loss: 0.1647, train/util_ratio: 0.8705, train/run_time: 0.1685, lr: 0.0073, train/prefecth_time: 0.0102 
[2025-04-20 12:49:47,437 INFO] 252672 iteration USE_EMA: True, train/sup_loss: 0.0788, train/aux_loss: 0.0752, train/total_loss: 0.1540, train/util_ratio: 0.8549, train/run_time: 0.3034, lr: 0.0073, train/prefecth_time: 0.0062 
[2025-04-20 12:50:54,941 INFO] validating...
[2025-04-20 12:50:57,458 INFO] confusion matrix:
[[0.883 0.001 0.025 0.005 0.009 0.005 0.006 0.005 0.044 0.017]
 [0.007 0.934 0.002 0.    0.    0.001 0.001 0.    0.008 0.047]
 [0.078 0.002 0.656 0.023 0.065 0.072 0.08  0.014 0.005 0.005]
 [0.034 0.005 0.051 0.514 0.047 0.217 0.093 0.021 0.005 0.013]
 [0.018 0.002 0.043 0.017 0.812 0.029 0.034 0.043 0.001 0.001]
 [0.01  0.001 0.031 0.076 0.027 0.785 0.019 0.049 0.001 0.001]
 [0.005 0.    0.008 0.031 0.005 0.001 0.945 0.001 0.002 0.002]
 [0.007 0.001 0.024 0.025 0.038 0.053 0.005 0.841 0.004 0.002]
 [0.017 0.009 0.004 0.004 0.002 0.001 0.001 0.    0.853 0.109]
 [0.006 0.027 0.001 0.004 0.    0.002 0.    0.    0.006 0.954]]
[2025-04-20 12:50:58,679 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 12:50:58,680 INFO] 252928 iteration, USE_EMA: True, train/sup_loss: 0.1630, train/aux_loss: 0.0836, train/total_loss: 0.2466, train/util_ratio: 0.8661, train/run_time: 0.1807, eval/loss: 0.7601, eval/top-1-acc: 0.8177, eval/top-5-acc: 0.9797, eval/balanced_acc: 0.8177, eval/precision: 0.8182, eval/recall: 0.8177, eval/F1: 0.8138, lr: 0.0073, train/prefecth_time: 0.0054 BEST_EVAL_ACC: 0.8233, at 244736 iters
[2025-04-20 12:52:08,779 INFO] 253184 iteration USE_EMA: True, train/sup_loss: 0.2179, train/aux_loss: 0.0523, train/total_loss: 0.2702, train/util_ratio: 0.8750, train/run_time: 0.2462, lr: 0.0072, train/prefecth_time: 0.0097 
[2025-04-20 12:53:14,582 INFO] 253440 iteration USE_EMA: True, train/sup_loss: 0.0976, train/aux_loss: 0.0966, train/total_loss: 0.1942, train/util_ratio: 0.8504, train/run_time: 0.2336, lr: 0.0072, train/prefecth_time: 0.0056 
[2025-04-20 12:54:22,219 INFO] 253696 iteration USE_EMA: True, train/sup_loss: 0.0824, train/aux_loss: 0.0605, train/total_loss: 0.1429, train/util_ratio: 0.8884, train/run_time: 0.2596, lr: 0.0071, train/prefecth_time: 0.0053 
[2025-04-20 12:55:27,851 INFO] validating...
[2025-04-20 12:55:30,812 INFO] confusion matrix:
[[0.888 0.002 0.025 0.004 0.007 0.007 0.005 0.002 0.045 0.015]
 [0.005 0.932 0.002 0.    0.    0.001 0.001 0.001 0.01  0.048]
 [0.078 0.002 0.654 0.024 0.061 0.072 0.081 0.019 0.004 0.005]
 [0.036 0.007 0.052 0.476 0.044 0.238 0.104 0.025 0.005 0.013]
 [0.016 0.002 0.041 0.017 0.803 0.03  0.039 0.048 0.003 0.001]
 [0.009 0.    0.027 0.073 0.026 0.794 0.018 0.051 0.    0.002]
 [0.005 0.    0.006 0.028 0.006 0.001 0.948 0.001 0.003 0.002]
 [0.008 0.001 0.027 0.025 0.034 0.054 0.006 0.837 0.006 0.002]
 [0.018 0.009 0.007 0.003 0.002 0.    0.002 0.    0.856 0.103]
 [0.011 0.026 0.001 0.004 0.    0.002 0.001 0.    0.005 0.95 ]]
[2025-04-20 12:55:31,336 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 12:55:31,337 INFO] 253952 iteration, USE_EMA: True, train/sup_loss: 0.1669, train/aux_loss: 0.0942, train/total_loss: 0.2611, train/util_ratio: 0.8214, train/run_time: 0.1802, eval/loss: 0.7740, eval/top-1-acc: 0.8138, eval/top-5-acc: 0.9777, eval/balanced_acc: 0.8138, eval/precision: 0.8144, eval/recall: 0.8138, eval/F1: 0.8090, lr: 0.0071, train/prefecth_time: 0.0054 BEST_EVAL_ACC: 0.8233, at 244736 iters
[2025-04-20 12:56:39,013 INFO] 254208 iteration USE_EMA: True, train/sup_loss: 0.2143, train/aux_loss: 0.0700, train/total_loss: 0.2843, train/util_ratio: 0.8616, train/run_time: 0.2109, lr: 0.0071, train/prefecth_time: 0.0041 
[2025-04-20 12:57:45,060 INFO] 254464 iteration USE_EMA: True, train/sup_loss: 0.0966, train/aux_loss: 0.0410, train/total_loss: 0.1376, train/util_ratio: 0.8884, train/run_time: 0.2303, lr: 0.0070, train/prefecth_time: 0.0062 
[2025-04-20 12:58:51,981 INFO] 254720 iteration USE_EMA: True, train/sup_loss: 0.0862, train/aux_loss: 0.0971, train/total_loss: 0.1832, train/util_ratio: 0.8549, train/run_time: 0.2060, lr: 0.0070, train/prefecth_time: 0.0072 
[2025-04-20 12:59:58,463 INFO] validating...
[2025-04-20 13:00:00,886 INFO] confusion matrix:
[[0.884 0.001 0.028 0.003 0.009 0.006 0.005 0.002 0.043 0.019]
 [0.004 0.93  0.001 0.    0.    0.001 0.001 0.    0.011 0.052]
 [0.078 0.002 0.65  0.024 0.057 0.075 0.087 0.019 0.004 0.004]
 [0.032 0.007 0.05  0.487 0.038 0.238 0.103 0.026 0.005 0.014]
 [0.019 0.003 0.041 0.015 0.797 0.029 0.038 0.053 0.004 0.001]
 [0.008 0.    0.026 0.073 0.024 0.796 0.018 0.052 0.001 0.002]
 [0.005 0.    0.006 0.03  0.005 0.001 0.947 0.002 0.001 0.003]
 [0.007 0.001 0.026 0.022 0.036 0.053 0.006 0.84  0.006 0.003]
 [0.017 0.012 0.006 0.003 0.001 0.    0.003 0.    0.858 0.1  ]
 [0.01  0.025 0.002 0.005 0.    0.002 0.001 0.001 0.007 0.947]]
[2025-04-20 13:00:02,454 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 13:00:02,455 INFO] 254976 iteration, USE_EMA: True, train/sup_loss: 0.1621, train/aux_loss: 0.0804, train/total_loss: 0.2425, train/util_ratio: 0.8504, train/run_time: 0.2228, eval/loss: 0.7695, eval/top-1-acc: 0.8136, eval/top-5-acc: 0.9769, eval/balanced_acc: 0.8136, eval/precision: 0.8146, eval/recall: 0.8136, eval/F1: 0.8090, lr: 0.0070, train/prefecth_time: 0.0058 BEST_EVAL_ACC: 0.8233, at 244736 iters
[2025-04-20 13:01:11,979 INFO] 255232 iteration USE_EMA: True, train/sup_loss: 0.2157, train/aux_loss: 0.0436, train/total_loss: 0.2594, train/util_ratio: 0.8772, train/run_time: 0.2487, lr: 0.0069, train/prefecth_time: 0.0057 
[2025-04-20 13:02:19,196 INFO] 255488 iteration USE_EMA: True, train/sup_loss: 0.0926, train/aux_loss: 0.0756, train/total_loss: 0.1681, train/util_ratio: 0.8705, train/run_time: 0.2462, lr: 0.0069, train/prefecth_time: 0.0061 
[2025-04-20 13:03:26,110 INFO] 255744 iteration USE_EMA: True, train/sup_loss: 0.0788, train/aux_loss: 0.1105, train/total_loss: 0.1893, train/util_ratio: 0.8705, train/run_time: 0.2057, lr: 0.0068, train/prefecth_time: 0.0075 
[2025-04-20 13:04:32,406 INFO] validating...
[2025-04-20 13:04:35,222 INFO] confusion matrix:
[[0.894 0.002 0.023 0.003 0.009 0.005 0.006 0.002 0.042 0.014]
 [0.006 0.932 0.001 0.001 0.    0.001 0.001 0.    0.008 0.05 ]
 [0.08  0.001 0.651 0.024 0.054 0.075 0.088 0.019 0.004 0.004]
 [0.034 0.006 0.049 0.477 0.038 0.241 0.11  0.024 0.006 0.015]
 [0.02  0.004 0.041 0.017 0.788 0.026 0.042 0.057 0.004 0.001]
 [0.009 0.    0.024 0.079 0.024 0.787 0.02  0.052 0.001 0.004]
 [0.008 0.    0.005 0.034 0.004 0.001 0.944 0.001 0.001 0.002]
 [0.009 0.001 0.023 0.024 0.032 0.046 0.006 0.851 0.006 0.002]
 [0.02  0.009 0.006 0.002 0.001 0.    0.002 0.    0.857 0.103]
 [0.01  0.024 0.002 0.004 0.    0.003 0.002 0.    0.007 0.948]]
[2025-04-20 13:04:35,827 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 13:04:35,828 INFO] 256000 iteration, USE_EMA: True, train/sup_loss: 0.1673, train/aux_loss: 0.0771, train/total_loss: 0.2444, train/util_ratio: 0.8460, train/run_time: 0.2286, eval/loss: 0.7743, eval/top-1-acc: 0.8129, eval/top-5-acc: 0.9760, eval/balanced_acc: 0.8129, eval/precision: 0.8136, eval/recall: 0.8129, eval/F1: 0.8081, lr: 0.0068, train/prefecth_time: 0.0058 BEST_EVAL_ACC: 0.8233, at 244736 iters
[2025-04-20 13:06:56,588 INFO] select_ulb_dist:
[   0.   59.  118.  263.  349.  896. 4454.  593. 2381. 1975.]
[2025-04-20 13:06:56,590 INFO] lb_select_ulb_dist:
[ 400.  298.  261.  349.  400.  926. 4472.  604. 2387. 1979.]
[2025-04-20 13:06:56,606 INFO] 250: Update the labeled data.
[2025-04-20 13:08:30,438 INFO] 256256 iteration USE_EMA: True, train/sup_loss: 0.1655, train/aux_loss: 0.0777, train/total_loss: 0.2432, train/util_ratio: 0.8549, train/run_time: 0.2368, lr: 0.0068, train/prefecth_time: 0.0062 
[2025-04-20 13:09:37,363 INFO] 256512 iteration USE_EMA: True, train/sup_loss: 0.1923, train/aux_loss: 0.0923, train/total_loss: 0.2845, train/util_ratio: 0.8549, train/run_time: 0.2959, lr: 0.0067, train/prefecth_time: 0.0062 
[2025-04-20 13:10:45,191 INFO] 256768 iteration USE_EMA: True, train/sup_loss: 0.2492, train/aux_loss: 0.1743, train/total_loss: 0.4236, train/util_ratio: 0.7902, train/run_time: 0.2365, lr: 0.0067, train/prefecth_time: 0.0054 
[2025-04-20 13:11:50,700 INFO] validating...
[2025-04-20 13:11:53,324 INFO] confusion matrix:
[[0.903 0.004 0.021 0.003 0.007 0.005 0.006 0.002 0.039 0.01 ]
 [0.007 0.939 0.    0.    0.    0.001 0.001 0.    0.004 0.048]
 [0.081 0.002 0.662 0.022 0.052 0.066 0.087 0.019 0.005 0.004]
 [0.042 0.007 0.058 0.478 0.038 0.236 0.098 0.026 0.004 0.013]
 [0.021 0.003 0.041 0.019 0.783 0.024 0.041 0.064 0.003 0.001]
 [0.009 0.    0.03  0.082 0.021 0.785 0.015 0.053 0.002 0.003]
 [0.008 0.    0.006 0.037 0.004 0.001 0.94  0.001 0.001 0.002]
 [0.01  0.002 0.025 0.027 0.032 0.046 0.008 0.845 0.004 0.001]
 [0.022 0.013 0.003 0.002 0.003 0.    0.003 0.    0.857 0.097]
 [0.009 0.022 0.001 0.005 0.    0.002 0.    0.    0.006 0.955]]
[2025-04-20 13:11:53,695 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 13:11:53,697 INFO] 257024 iteration, USE_EMA: True, train/sup_loss: 0.1969, train/aux_loss: 0.0860, train/total_loss: 0.2829, train/util_ratio: 0.8549, train/run_time: 0.2634, eval/loss: 0.7691, eval/top-1-acc: 0.8147, eval/top-5-acc: 0.9777, eval/balanced_acc: 0.8147, eval/precision: 0.8144, eval/recall: 0.8147, eval/F1: 0.8099, lr: 0.0066, train/prefecth_time: 0.0055 BEST_EVAL_ACC: 0.8233, at 244736 iters
[2025-04-20 13:13:03,023 INFO] 257280 iteration USE_EMA: True, train/sup_loss: 0.1697, train/aux_loss: 0.1544, train/total_loss: 0.3241, train/util_ratio: 0.8482, train/run_time: 0.2343, lr: 0.0066, train/prefecth_time: 0.0057 
[2025-04-20 13:14:07,988 INFO] 257536 iteration USE_EMA: True, train/sup_loss: 0.1888, train/aux_loss: 0.1074, train/total_loss: 0.2962, train/util_ratio: 0.8438, train/run_time: 0.2267, lr: 0.0066, train/prefecth_time: 0.0076 
[2025-04-20 13:15:10,897 INFO] 257792 iteration USE_EMA: True, train/sup_loss: 0.2415, train/aux_loss: 0.0801, train/total_loss: 0.3216, train/util_ratio: 0.8661, train/run_time: 0.2867, lr: 0.0065, train/prefecth_time: 0.0063 
[2025-04-20 13:16:06,708 INFO] validating...
[2025-04-20 13:16:09,691 INFO] confusion matrix:
[[0.9   0.003 0.016 0.005 0.007 0.004 0.007 0.002 0.042 0.014]
 [0.007 0.939 0.    0.    0.    0.001 0.001 0.    0.003 0.049]
 [0.087 0.002 0.645 0.025 0.055 0.068 0.089 0.02  0.005 0.004]
 [0.04  0.007 0.054 0.489 0.04  0.225 0.099 0.027 0.006 0.013]
 [0.026 0.003 0.039 0.016 0.786 0.024 0.043 0.059 0.003 0.001]
 [0.01  0.    0.027 0.081 0.021 0.784 0.02  0.052 0.002 0.003]
 [0.007 0.    0.006 0.033 0.002 0.001 0.946 0.001 0.001 0.003]
 [0.014 0.003 0.026 0.026 0.035 0.041 0.007 0.842 0.004 0.002]
 [0.021 0.01  0.002 0.002 0.003 0.001 0.002 0.    0.857 0.102]
 [0.008 0.022 0.    0.005 0.    0.001 0.    0.    0.007 0.957]]
[2025-04-20 13:16:12,178 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 13:16:12,179 INFO] 258048 iteration, USE_EMA: True, train/sup_loss: 0.1928, train/aux_loss: 0.0511, train/total_loss: 0.2439, train/util_ratio: 0.8661, train/run_time: 0.1792, eval/loss: 0.7778, eval/top-1-acc: 0.8145, eval/top-5-acc: 0.9775, eval/balanced_acc: 0.8145, eval/precision: 0.8145, eval/recall: 0.8145, eval/F1: 0.8096, lr: 0.0065, train/prefecth_time: 0.0435 BEST_EVAL_ACC: 0.8233, at 244736 iters
[2025-04-20 13:17:11,923 INFO] 258304 iteration USE_EMA: True, train/sup_loss: 0.1730, train/aux_loss: 0.1024, train/total_loss: 0.2755, train/util_ratio: 0.8348, train/run_time: 0.1568, lr: 0.0064, train/prefecth_time: 0.0040 
[2025-04-20 13:18:12,308 INFO] 258560 iteration USE_EMA: True, train/sup_loss: 0.1833, train/aux_loss: 0.0979, train/total_loss: 0.2812, train/util_ratio: 0.8683, train/run_time: 0.1620, lr: 0.0064, train/prefecth_time: 0.0077 
[2025-04-20 13:19:18,072 INFO] 258816 iteration USE_EMA: True, train/sup_loss: 0.2435, train/aux_loss: 0.0680, train/total_loss: 0.3115, train/util_ratio: 0.8482, train/run_time: 0.2159, lr: 0.0064, train/prefecth_time: 0.0061 
[2025-04-20 13:20:24,358 INFO] validating...
[2025-04-20 13:20:26,807 INFO] confusion matrix:
[[0.894 0.002 0.018 0.005 0.008 0.004 0.005 0.001 0.046 0.017]
 [0.007 0.935 0.    0.    0.    0.001 0.001 0.001 0.006 0.049]
 [0.084 0.002 0.647 0.024 0.055 0.074 0.089 0.017 0.005 0.003]
 [0.04  0.007 0.051 0.485 0.039 0.238 0.097 0.026 0.005 0.012]
 [0.021 0.004 0.042 0.017 0.785 0.03  0.042 0.053 0.005 0.001]
 [0.008 0.001 0.031 0.078 0.02  0.785 0.02  0.052 0.002 0.003]
 [0.009 0.    0.007 0.033 0.002 0.001 0.943 0.001 0.001 0.003]
 [0.01  0.003 0.027 0.026 0.037 0.045 0.006 0.838 0.006 0.002]
 [0.018 0.009 0.003 0.001 0.002 0.    0.002 0.    0.864 0.101]
 [0.009 0.022 0.    0.006 0.    0.002 0.    0.    0.007 0.954]]
[2025-04-20 13:20:27,194 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 13:20:27,195 INFO] 259072 iteration, USE_EMA: True, train/sup_loss: 0.1959, train/aux_loss: 0.0676, train/total_loss: 0.2635, train/util_ratio: 0.8817, train/run_time: 0.2335, eval/loss: 0.7718, eval/top-1-acc: 0.8130, eval/top-5-acc: 0.9768, eval/balanced_acc: 0.8130, eval/precision: 0.8133, eval/recall: 0.8130, eval/F1: 0.8082, lr: 0.0063, train/prefecth_time: 0.0055 BEST_EVAL_ACC: 0.8233, at 244736 iters
[2025-04-20 13:21:37,570 INFO] 259328 iteration USE_EMA: True, train/sup_loss: 0.1728, train/aux_loss: 0.0888, train/total_loss: 0.2616, train/util_ratio: 0.8438, train/run_time: 0.1543, lr: 0.0063, train/prefecth_time: 0.0065 
[2025-04-20 13:22:43,623 INFO] 259584 iteration USE_EMA: True, train/sup_loss: 0.1848, train/aux_loss: 0.0526, train/total_loss: 0.2374, train/util_ratio: 0.8571, train/run_time: 0.2423, lr: 0.0062, train/prefecth_time: 0.0045 
[2025-04-20 13:23:48,783 INFO] 259840 iteration USE_EMA: True, train/sup_loss: 0.2484, train/aux_loss: 0.0464, train/total_loss: 0.2948, train/util_ratio: 0.8728, train/run_time: 0.1918, lr: 0.0062, train/prefecth_time: 0.0068 
[2025-04-20 13:24:43,776 INFO] validating...
[2025-04-20 13:24:46,485 INFO] confusion matrix:
[[0.898 0.001 0.021 0.005 0.008 0.004 0.005 0.002 0.044 0.012]
 [0.007 0.934 0.    0.    0.    0.001 0.002 0.001 0.006 0.049]
 [0.087 0.002 0.642 0.024 0.062 0.072 0.085 0.02  0.004 0.002]
 [0.035 0.006 0.052 0.486 0.038 0.242 0.099 0.026 0.005 0.011]
 [0.016 0.004 0.037 0.018 0.8   0.027 0.039 0.054 0.004 0.001]
 [0.007 0.    0.027 0.077 0.023 0.79  0.019 0.052 0.002 0.003]
 [0.008 0.    0.008 0.033 0.002 0.001 0.943 0.001 0.002 0.002]
 [0.012 0.003 0.025 0.023 0.033 0.045 0.007 0.844 0.006 0.002]
 [0.014 0.011 0.003 0.002 0.002 0.    0.001 0.001 0.868 0.098]
 [0.01  0.021 0.001 0.003 0.    0.002 0.    0.    0.007 0.956]]
[2025-04-20 13:24:46,920 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 13:24:46,921 INFO] 260096 iteration, USE_EMA: True, train/sup_loss: 0.1915, train/aux_loss: 0.0822, train/total_loss: 0.2737, train/util_ratio: 0.8661, train/run_time: 0.1955, eval/loss: 0.7652, eval/top-1-acc: 0.8161, eval/top-5-acc: 0.9773, eval/balanced_acc: 0.8161, eval/precision: 0.8163, eval/recall: 0.8161, eval/F1: 0.8113, lr: 0.0062, train/prefecth_time: 0.0751 BEST_EVAL_ACC: 0.8233, at 244736 iters
[2025-04-20 13:25:44,367 INFO] 260352 iteration USE_EMA: True, train/sup_loss: 0.1661, train/aux_loss: 0.0595, train/total_loss: 0.2256, train/util_ratio: 0.8683, train/run_time: 0.1549, lr: 0.0061, train/prefecth_time: 0.0064 
[2025-04-20 13:26:39,310 INFO] 260608 iteration USE_EMA: True, train/sup_loss: 0.1842, train/aux_loss: 0.0992, train/total_loss: 0.2834, train/util_ratio: 0.8393, train/run_time: 0.1627, lr: 0.0061, train/prefecth_time: 0.0073 
[2025-04-20 13:27:34,604 INFO] 260864 iteration USE_EMA: True, train/sup_loss: 0.2412, train/aux_loss: 0.0675, train/total_loss: 0.3087, train/util_ratio: 0.8817, train/run_time: 0.1892, lr: 0.0061, train/prefecth_time: 0.0137 
[2025-04-20 13:28:29,424 INFO] validating...
[2025-04-20 13:28:31,825 INFO] confusion matrix:
[[0.896 0.001 0.02  0.005 0.008 0.004 0.007 0.002 0.044 0.013]
 [0.007 0.933 0.    0.    0.    0.001 0.002 0.    0.007 0.05 ]
 [0.083 0.003 0.649 0.023 0.063 0.068 0.087 0.016 0.005 0.003]
 [0.038 0.005 0.053 0.487 0.037 0.23  0.104 0.028 0.007 0.011]
 [0.018 0.002 0.037 0.021 0.8   0.027 0.037 0.052 0.005 0.001]
 [0.01  0.    0.027 0.077 0.024 0.785 0.02  0.054 0.001 0.002]
 [0.007 0.    0.008 0.035 0.003 0.002 0.94  0.001 0.002 0.002]
 [0.013 0.002 0.024 0.023 0.036 0.043 0.008 0.844 0.005 0.002]
 [0.016 0.009 0.002 0.001 0.002 0.    0.002 0.001 0.87  0.097]
 [0.009 0.021 0.001 0.004 0.    0.002 0.001 0.    0.007 0.955]]
[2025-04-20 13:28:32,164 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 13:28:32,165 INFO] 261120 iteration, USE_EMA: True, train/sup_loss: 0.1916, train/aux_loss: 0.0979, train/total_loss: 0.2895, train/util_ratio: 0.8438, train/run_time: 0.1754, eval/loss: 0.7653, eval/top-1-acc: 0.8159, eval/top-5-acc: 0.9773, eval/balanced_acc: 0.8159, eval/precision: 0.8159, eval/recall: 0.8159, eval/F1: 0.8111, lr: 0.0060, train/prefecth_time: 0.0058 BEST_EVAL_ACC: 0.8233, at 244736 iters
[2025-04-20 13:31:01,707 INFO] select_ulb_dist:
[   0.   59.  118.  263.  349.  896. 4454.  593. 2381. 1975.]
[2025-04-20 13:31:01,709 INFO] lb_select_ulb_dist:
[ 400.  298.  261.  349.  400.  926. 4472.  604. 2387. 1979.]
[2025-04-20 13:31:01,722 INFO] 255: Update the labeled data.
[2025-04-20 13:32:25,360 INFO] 261376 iteration USE_EMA: True, train/sup_loss: 0.1650, train/aux_loss: 0.0635, train/total_loss: 0.2286, train/util_ratio: 0.8594, train/run_time: 0.1916, lr: 0.0060, train/prefecth_time: 0.0044 
[2025-04-20 13:33:21,129 INFO] 261632 iteration USE_EMA: True, train/sup_loss: 0.1893, train/aux_loss: 0.1000, train/total_loss: 0.2893, train/util_ratio: 0.8326, train/run_time: 0.1643, lr: 0.0059, train/prefecth_time: 0.0044 
[2025-04-20 13:34:16,948 INFO] 261888 iteration USE_EMA: True, train/sup_loss: 0.2426, train/aux_loss: 0.0833, train/total_loss: 0.3259, train/util_ratio: 0.8415, train/run_time: 0.1844, lr: 0.0059, train/prefecth_time: 0.0071 
[2025-04-20 13:35:13,318 INFO] validating...
[2025-04-20 13:35:15,828 INFO] confusion matrix:
[[0.896 0.003 0.02  0.004 0.008 0.003 0.006 0.003 0.045 0.012]
 [0.007 0.937 0.    0.    0.    0.001 0.002 0.    0.005 0.048]
 [0.083 0.    0.629 0.026 0.058 0.08  0.095 0.021 0.004 0.004]
 [0.033 0.005 0.047 0.483 0.035 0.247 0.103 0.027 0.007 0.013]
 [0.019 0.002 0.039 0.019 0.791 0.029 0.037 0.06  0.003 0.001]
 [0.009 0.    0.018 0.07  0.021 0.808 0.018 0.054 0.    0.002]
 [0.008 0.    0.005 0.035 0.004 0.002 0.941 0.001 0.002 0.002]
 [0.011 0.001 0.019 0.021 0.033 0.046 0.009 0.853 0.005 0.002]
 [0.018 0.01  0.001 0.001 0.002 0.    0.001 0.001 0.868 0.098]
 [0.009 0.021 0.002 0.004 0.    0.002 0.001 0.    0.006 0.955]]
[2025-04-20 13:35:16,685 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 13:35:16,686 INFO] 262144 iteration, USE_EMA: True, train/sup_loss: 0.1912, train/aux_loss: 0.0967, train/total_loss: 0.2879, train/util_ratio: 0.8705, train/run_time: 0.1991, eval/loss: 0.7773, eval/top-1-acc: 0.8161, eval/top-5-acc: 0.9776, eval/balanced_acc: 0.8161, eval/precision: 0.8177, eval/recall: 0.8161, eval/F1: 0.8111, lr: 0.0059, train/prefecth_time: 0.0056 BEST_EVAL_ACC: 0.8233, at 244736 iters
[2025-04-20 13:35:17,784 INFO] model saved: ./saved_models/cpg/203-fixmatch_cpg_cifar10_lb400_100_ulb4600_100_random_0.0_1/latest_model.pth
[2025-04-20 13:35:17,815 INFO] Model result - eval/best_acc : 0.8233
[2025-04-20 13:35:17,816 INFO] Model result - eval/best_it : 244735
