[2023-08-12 08:59:03,449 INFO] Use GPU: 1 for training
[2023-08-12 08:59:04,660 INFO] unlabeled data number: 1200, labeled data number 250
[2023-08-12 08:59:04,661 INFO] Create train and test data loaders
[2023-08-12 08:59:06,504 INFO] [!] data loader keys: dict_keys(['train_lb', 'train_ulb', 'eval', 'test'])
[2023-08-12 08:59:40,219 INFO] Create optimizer and scheduler
[2023-08-12 08:59:43,825 INFO] Number of Trainable Params: 95000754
[2023-08-12 08:59:44,220 INFO] Arguments: Namespace(save_dir='/liuzicheng/jwy/saved_models/usb_audio', save_name='flexmatch_esc50_250_0', resume=True, load_path='/liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth', overwrite=True, use_tensorboard=True, use_wandb=False, use_aim=False, epoch=100, num_train_iter=102400, num_warmup_iter=5120, num_eval_iter=2048, num_log_iter=256, num_labels=250, batch_size=8, uratio=1, eval_batch_size=16, ema_m=0.0, ulb_loss_ratio=1.0, optim='AdamW', lr=0.0001, momentum=0.9, weight_decay=2e-05, layer_decay=0.85, net='hubert_base', net_from_name=False, use_pretrain=False, pretrain_path='', algorithm='flexmatch', use_cat=False, amp=False, clip_grad=0, imb_algorithm=None, data_dir='/liuzicheng/data/data', dataset='esc50', num_classes=50, train_sampler='RandomSampler', num_workers=4, include_lb_to_ulb=True, lb_imb_ratio=1, ulb_imb_ratio=1, ulb_num_labels=None, img_size=32, crop_ratio=0.875, max_length=512, max_length_seconds=5.0, sample_rate=16000, world_size=1, rank=0, dist_url='tcp://127.0.0.1:15726', dist_backend='nccl', seed=0, gpu=1, multiprocessing_distributed=False, c='/liuzicheng/jwy/otherbaseline-main2/config/usb_audio/flexmatch/flexmatch_esc50_250_0.yaml', hard_label=True, T=0.5, p_cutoff=0.95, thresh_warmup=True, clip=0.0, distributed=False, ulb_dest_len=1200, lb_dest_len=250)
[2023-08-12 08:59:44,221 INFO] Resume load path /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth does not exist
[2023-08-12 08:59:44,221 INFO] Model training
[2023-08-12 09:01:42,107 INFO] Use GPU: 1 for training
[2023-08-12 09:01:43,248 INFO] unlabeled data number: 1200, labeled data number 250
[2023-08-12 09:01:43,249 INFO] Create train and test data loaders
[2023-08-12 09:01:44,896 INFO] [!] data loader keys: dict_keys(['train_lb', 'train_ulb', 'eval', 'test'])
[2023-08-12 09:01:55,153 INFO] Create optimizer and scheduler
[2023-08-12 09:01:56,217 INFO] Number of Trainable Params: 95000754
[2023-08-12 09:01:56,496 INFO] Arguments: Namespace(save_dir='/liuzicheng/jwy/saved_models/usb_audio', save_name='flexmatch_esc50_250_0', resume=True, load_path='/liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth', overwrite=True, use_tensorboard=True, use_wandb=False, use_aim=False, epoch=100, num_train_iter=102400, num_warmup_iter=5120, num_eval_iter=2048, num_log_iter=256, num_labels=250, batch_size=8, uratio=1, eval_batch_size=16, ema_m=0.0, ulb_loss_ratio=1.0, optim='AdamW', lr=0.0001, momentum=0.9, weight_decay=2e-05, layer_decay=0.85, net='hubert_base', net_from_name=False, use_pretrain=False, pretrain_path='', algorithm='flexmatch', use_cat=False, amp=False, clip_grad=0, imb_algorithm=None, data_dir='/liuzicheng/data/data', dataset='esc50', num_classes=50, train_sampler='RandomSampler', num_workers=4, include_lb_to_ulb=True, lb_imb_ratio=1, ulb_imb_ratio=1, ulb_num_labels=None, img_size=32, crop_ratio=0.875, max_length=512, max_length_seconds=5.0, sample_rate=16000, world_size=1, rank=0, dist_url='tcp://127.0.0.1:29975', dist_backend='nccl', seed=0, gpu=1, multiprocessing_distributed=False, c='/liuzicheng/jwy/otherbaseline-main2/config/usb_audio/flexmatch/flexmatch_esc50_250_0.yaml', hard_label=True, T=0.5, p_cutoff=0.95, thresh_warmup=True, clip=0.0, distributed=False, ulb_dest_len=1200, lb_dest_len=250)
[2023-08-12 09:01:56,497 INFO] Resume load path /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth does not exist
[2023-08-12 09:01:56,497 INFO] Model training
[2023-08-12 09:03:11,956 INFO] 256 iteration USE_EMA: False, train/sup_loss: 4.0121, train/unsup_loss: 2.5049, train/total_loss: 6.5169, train/util_ratio: 1.0000, train/run_time: 0.2327, lr: 0.0000, train/prefecth_time: 0.0043 
[2023-08-12 09:07:25,205 INFO] Use GPU: 1 for training
[2023-08-12 09:07:26,212 INFO] unlabeled data number: 1200, labeled data number 250
[2023-08-12 09:07:26,213 INFO] Create train and test data loaders
[2023-08-12 09:07:28,110 INFO] [!] data loader keys: dict_keys(['train_lb', 'train_ulb', 'eval', 'test'])
[2023-08-12 09:07:55,400 INFO] Create optimizer and scheduler
[2023-08-12 09:07:57,849 INFO] Number of Trainable Params: 95000754
[2023-08-12 09:08:00,012 INFO] Arguments: Namespace(save_dir='/liuzicheng/jwy/saved_models/usb_audio', save_name='flexmatch_esc50_250_0', resume=True, load_path='/liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth', overwrite=True, use_tensorboard=True, use_wandb=False, use_aim=False, epoch=100, num_train_iter=102400, num_warmup_iter=5120, num_eval_iter=2048, num_log_iter=256, num_labels=250, batch_size=8, uratio=1, eval_batch_size=16, ema_m=0.0, ulb_loss_ratio=1.0, optim='AdamW', lr=0.0001, momentum=0.9, weight_decay=2e-05, layer_decay=0.85, net='hubert_base', net_from_name=False, use_pretrain=False, pretrain_path='', algorithm='flexmatch', use_cat=False, amp=False, clip_grad=0, imb_algorithm=None, data_dir='/liuzicheng/data/data', dataset='esc50', num_classes=50, train_sampler='RandomSampler', num_workers=4, include_lb_to_ulb=True, lb_imb_ratio=1, ulb_imb_ratio=1, ulb_num_labels=None, img_size=32, crop_ratio=0.875, max_length=512, max_length_seconds=5.0, sample_rate=16000, world_size=1, rank=0, dist_url='tcp://127.0.0.1:17181', dist_backend='nccl', seed=0, gpu=1, multiprocessing_distributed=False, c='/liuzicheng/jwy/otherbaseline-main2/config/usb_audio/flexmatch/flexmatch_esc50_250_0.yaml', hard_label=True, T=0.5, p_cutoff=0.95, thresh_warmup=True, clip=0.0, distributed=False, ulb_dest_len=1200, lb_dest_len=250)
[2023-08-12 09:08:00,016 INFO] Resume load path /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth does not exist
[2023-08-12 09:08:00,017 INFO] Model training
[2023-08-12 09:11:34,158 INFO] 256 iteration USE_EMA: False, train/sup_loss: 4.0121, train/unsup_loss: 2.5049, train/total_loss: 6.5169, train/util_ratio: 1.0000, train/run_time: 0.7480, lr: 0.0000, train/prefecth_time: 0.0047 
[2023-08-12 09:14:59,065 INFO] 512 iteration USE_EMA: False, train/sup_loss: 4.3861, train/unsup_loss: 0.7486, train/total_loss: 5.1347, train/util_ratio: 1.0000, train/run_time: 0.7757, lr: 0.0000, train/prefecth_time: 0.0028 
[2023-08-12 09:18:23,472 INFO] 768 iteration USE_EMA: False, train/sup_loss: 4.7231, train/unsup_loss: 0.4428, train/total_loss: 5.1659, train/util_ratio: 1.0000, train/run_time: 0.6413, lr: 0.0000, train/prefecth_time: 0.0047 
[2023-08-12 09:21:48,038 INFO] 1024 iteration USE_EMA: False, train/sup_loss: 4.1486, train/unsup_loss: 0.5428, train/total_loss: 4.6913, train/util_ratio: 1.0000, train/run_time: 0.5201, lr: 0.0000, train/prefecth_time: 0.0046 
[2023-08-12 09:25:14,150 INFO] 1280 iteration USE_EMA: False, train/sup_loss: 4.2709, train/unsup_loss: 1.5063, train/total_loss: 5.7772, train/util_ratio: 1.0000, train/run_time: 0.7521, lr: 0.0000, train/prefecth_time: 0.0048 
[2023-08-12 09:28:53,117 INFO] 1536 iteration USE_EMA: False, train/sup_loss: 3.4401, train/unsup_loss: 0.9682, train/total_loss: 4.4083, train/util_ratio: 1.0000, train/run_time: 0.8876, lr: 0.0000, train/prefecth_time: 0.0050 
[2023-08-12 09:32:34,633 INFO] 1792 iteration USE_EMA: False, train/sup_loss: 3.8610, train/unsup_loss: 0.4257, train/total_loss: 4.2867, train/util_ratio: 1.0000, train/run_time: 0.8471, lr: 0.0000, train/prefecth_time: 0.0051 
[2023-08-12 09:36:17,587 INFO] validating...
[2023-08-12 09:36:22,844 INFO] confusion matrix:
[[0.    0.    0.    ... 0.    0.    0.875]
 [0.    0.    0.    ... 0.    0.    1.   ]
 [0.    0.    0.    ... 0.    0.    1.   ]
 ...
 [0.    0.    0.    ... 0.    0.    0.   ]
 [0.    0.    0.    ... 0.    0.125 0.875]
 [0.    0.    0.    ... 0.    0.    1.   ]]
[2023-08-12 09:36:24,903 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-12 09:36:26,753 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/model_best.pth
[2023-08-12 09:36:26,754 INFO] 2048 iteration, USE_EMA: False, train/sup_loss: 3.5821, train/unsup_loss: 0.6267, train/total_loss: 4.2087, train/util_ratio: 1.0000, train/run_time: 0.8440, eval/loss: 4.0754, eval/top-1-acc: 0.0550, eval/balanced_acc: 0.0550, eval/precision: 0.0219, eval/recall: 0.0550, eval/F1: 0.0185, lr: 0.0000, train/prefecth_time: 0.0026 BEST_EVAL_ACC: 0.0550, at 2048 iters
[2023-08-12 09:40:12,413 INFO] 2304 iteration USE_EMA: False, train/sup_loss: 3.9185, train/unsup_loss: 1.8452, train/total_loss: 5.7637, train/util_ratio: 1.0000, train/run_time: 0.8469, lr: 0.0000, train/prefecth_time: 0.0026 
[2023-08-12 09:43:57,573 INFO] 2560 iteration USE_EMA: False, train/sup_loss: 2.8802, train/unsup_loss: 1.2407, train/total_loss: 4.1209, train/util_ratio: 1.0000, train/run_time: 0.8215, lr: 0.0001, train/prefecth_time: 0.0026 
[2023-08-12 09:47:35,993 INFO] 2816 iteration USE_EMA: False, train/sup_loss: 2.1334, train/unsup_loss: 1.9280, train/total_loss: 4.0614, train/util_ratio: 1.0000, train/run_time: 0.7755, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 09:51:16,551 INFO] 3072 iteration USE_EMA: False, train/sup_loss: 1.6860, train/unsup_loss: 1.7439, train/total_loss: 3.4300, train/util_ratio: 1.0000, train/run_time: 0.8002, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 09:55:04,784 INFO] 3328 iteration USE_EMA: False, train/sup_loss: 1.2155, train/unsup_loss: 1.0296, train/total_loss: 2.2451, train/util_ratio: 1.0000, train/run_time: 0.8365, lr: 0.0001, train/prefecth_time: 0.0026 
[2023-08-12 09:58:49,068 INFO] 3584 iteration USE_EMA: False, train/sup_loss: 1.0176, train/unsup_loss: 0.3610, train/total_loss: 1.3786, train/util_ratio: 1.0000, train/run_time: 0.8417, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 10:02:38,713 INFO] 3840 iteration USE_EMA: False, train/sup_loss: 0.7322, train/unsup_loss: 1.7979, train/total_loss: 2.5301, train/util_ratio: 1.0000, train/run_time: 0.8033, lr: 0.0001, train/prefecth_time: 0.0026 
[2023-08-12 10:06:17,791 INFO] validating...
[2023-08-12 10:06:22,054 INFO] confusion matrix:
[[0.25  0.    0.    ... 0.    0.    0.   ]
 [0.    0.625 0.    ... 0.    0.    0.   ]
 [0.    0.    0.5   ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.    0.    0.   ]
 [0.    0.    0.    ... 0.    0.625 0.   ]
 [0.    0.    0.    ... 0.    0.    0.875]]
[2023-08-12 10:06:23,928 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-12 10:06:25,674 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/model_best.pth
[2023-08-12 10:06:25,674 INFO] 4096 iteration, USE_EMA: False, train/sup_loss: 0.6807, train/unsup_loss: 1.1451, train/total_loss: 1.8258, train/util_ratio: 1.0000, train/run_time: 0.5264, eval/loss: 3.1256, eval/top-1-acc: 0.3725, eval/balanced_acc: 0.3725, eval/precision: 0.4112, eval/recall: 0.3725, eval/F1: 0.3403, lr: 0.0001, train/prefecth_time: 0.0049 BEST_EVAL_ACC: 0.3725, at 4096 iters
[2023-08-12 10:10:13,374 INFO] 4352 iteration USE_EMA: False, train/sup_loss: 0.3145, train/unsup_loss: 1.2603, train/total_loss: 1.5748, train/util_ratio: 1.0000, train/run_time: 0.7615, lr: 0.0001, train/prefecth_time: 0.0072 
[2023-08-12 10:13:52,344 INFO] 4608 iteration USE_EMA: False, train/sup_loss: 0.4893, train/unsup_loss: 1.3949, train/total_loss: 1.8842, train/util_ratio: 1.0000, train/run_time: 0.8123, lr: 0.0001, train/prefecth_time: 0.0051 
[2023-08-12 10:17:35,803 INFO] 4864 iteration USE_EMA: False, train/sup_loss: 0.4019, train/unsup_loss: 0.9188, train/total_loss: 1.3207, train/util_ratio: 1.0000, train/run_time: 0.8508, lr: 0.0001, train/prefecth_time: 0.0075 
[2023-08-12 10:21:19,556 INFO] 5120 iteration USE_EMA: False, train/sup_loss: 0.3166, train/unsup_loss: 1.3442, train/total_loss: 1.6608, train/util_ratio: 1.0000, train/run_time: 0.8306, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 10:24:59,010 INFO] 5376 iteration USE_EMA: False, train/sup_loss: 0.3034, train/unsup_loss: 1.4400, train/total_loss: 1.7434, train/util_ratio: 1.0000, train/run_time: 0.8035, lr: 0.0001, train/prefecth_time: 0.0036 
[2023-08-12 10:28:41,504 INFO] 5632 iteration USE_EMA: False, train/sup_loss: 0.0507, train/unsup_loss: 1.3759, train/total_loss: 1.4266, train/util_ratio: 1.0000, train/run_time: 0.8689, lr: 0.0001, train/prefecth_time: 0.0050 
[2023-08-12 10:32:25,586 INFO] 5888 iteration USE_EMA: False, train/sup_loss: 0.0734, train/unsup_loss: 0.8676, train/total_loss: 0.9410, train/util_ratio: 1.0000, train/run_time: 0.8508, lr: 0.0001, train/prefecth_time: 0.0050 
[2023-08-12 10:36:07,309 INFO] validating...
[2023-08-12 10:36:10,728 INFO] confusion matrix:
[[0.875 0.    0.    ... 0.    0.    0.   ]
 [0.    0.5   0.    ... 0.    0.    0.   ]
 [0.    0.    0.375 ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.125 0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    1.   ]]
[2023-08-12 10:36:12,524 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-12 10:36:14,353 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/model_best.pth
[2023-08-12 10:36:14,354 INFO] 6144 iteration, USE_EMA: False, train/sup_loss: 0.0785, train/unsup_loss: 0.7335, train/total_loss: 0.8120, train/util_ratio: 1.0000, train/run_time: 0.5078, eval/loss: 2.4096, eval/top-1-acc: 0.5200, eval/balanced_acc: 0.5200, eval/precision: 0.5333, eval/recall: 0.5200, eval/F1: 0.4851, lr: 0.0001, train/prefecth_time: 0.0046 BEST_EVAL_ACC: 0.5200, at 6144 iters
[2023-08-12 10:39:54,856 INFO] 6400 iteration USE_EMA: False, train/sup_loss: 0.0612, train/unsup_loss: 0.7431, train/total_loss: 0.8043, train/util_ratio: 1.0000, train/run_time: 0.8218, lr: 0.0001, train/prefecth_time: 0.0048 
[2023-08-12 10:43:35,342 INFO] 6656 iteration USE_EMA: False, train/sup_loss: 0.0056, train/unsup_loss: 0.4586, train/total_loss: 0.4642, train/util_ratio: 1.0000, train/run_time: 0.9079, lr: 0.0001, train/prefecth_time: 0.0031 
[2023-08-12 10:47:17,953 INFO] 6912 iteration USE_EMA: False, train/sup_loss: 0.2726, train/unsup_loss: 1.1067, train/total_loss: 1.3793, train/util_ratio: 1.0000, train/run_time: 0.8408, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 10:51:02,024 INFO] 7168 iteration USE_EMA: False, train/sup_loss: 0.0084, train/unsup_loss: 1.6945, train/total_loss: 1.7029, train/util_ratio: 1.0000, train/run_time: 0.8772, lr: 0.0001, train/prefecth_time: 0.0032 
[2023-08-12 10:54:47,121 INFO] 7424 iteration USE_EMA: False, train/sup_loss: 0.0260, train/unsup_loss: 0.4065, train/total_loss: 0.4324, train/util_ratio: 1.0000, train/run_time: 0.8739, lr: 0.0001, train/prefecth_time: 0.0051 
[2023-08-12 10:58:31,448 INFO] 7680 iteration USE_EMA: False, train/sup_loss: 0.0758, train/unsup_loss: 0.6117, train/total_loss: 0.6875, train/util_ratio: 1.0000, train/run_time: 0.8333, lr: 0.0001, train/prefecth_time: 0.0054 
[2023-08-12 11:02:09,771 INFO] 7936 iteration USE_EMA: False, train/sup_loss: 0.0657, train/unsup_loss: 0.5024, train/total_loss: 0.5681, train/util_ratio: 1.0000, train/run_time: 0.8064, lr: 0.0001, train/prefecth_time: 0.0083 
[2023-08-12 11:05:54,797 INFO] validating...
[2023-08-12 11:05:58,655 INFO] confusion matrix:
[[0.625 0.    0.    ... 0.    0.    0.   ]
 [0.    0.75  0.    ... 0.    0.    0.   ]
 [0.    0.    0.5   ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.125 0.    0.   ]
 [0.    0.    0.    ... 0.    0.375 0.   ]
 [0.    0.    0.    ... 0.    0.    1.   ]]
[2023-08-12 11:06:00,572 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-12 11:06:02,424 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/model_best.pth
[2023-08-12 11:06:02,425 INFO] 8192 iteration, USE_EMA: False, train/sup_loss: 0.0429, train/unsup_loss: 0.6434, train/total_loss: 0.6863, train/util_ratio: 1.0000, train/run_time: 0.4818, eval/loss: 2.5368, eval/top-1-acc: 0.5275, eval/balanced_acc: 0.5275, eval/precision: 0.5671, eval/recall: 0.5275, eval/F1: 0.5013, lr: 0.0001, train/prefecth_time: 0.0068 BEST_EVAL_ACC: 0.5275, at 8192 iters
[2023-08-12 11:09:44,491 INFO] 8448 iteration USE_EMA: False, train/sup_loss: 0.1820, train/unsup_loss: 0.5789, train/total_loss: 0.7609, train/util_ratio: 0.8750, train/run_time: 0.7873, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 11:13:23,085 INFO] 8704 iteration USE_EMA: False, train/sup_loss: 0.0329, train/unsup_loss: 0.4056, train/total_loss: 0.4385, train/util_ratio: 1.0000, train/run_time: 0.8102, lr: 0.0001, train/prefecth_time: 0.0048 
[2023-08-12 11:17:07,183 INFO] 8960 iteration USE_EMA: False, train/sup_loss: 0.3190, train/unsup_loss: 1.0426, train/total_loss: 1.3615, train/util_ratio: 0.7500, train/run_time: 0.9023, lr: 0.0001, train/prefecth_time: 0.0050 
[2023-08-12 11:20:47,870 INFO] 9216 iteration USE_EMA: False, train/sup_loss: 0.0381, train/unsup_loss: 0.3145, train/total_loss: 0.3526, train/util_ratio: 1.0000, train/run_time: 0.8349, lr: 0.0001, train/prefecth_time: 0.0072 
[2023-08-12 11:24:28,170 INFO] 9472 iteration USE_EMA: False, train/sup_loss: 0.0147, train/unsup_loss: 0.4905, train/total_loss: 0.5052, train/util_ratio: 1.0000, train/run_time: 0.8359, lr: 0.0001, train/prefecth_time: 0.0083 
[2023-08-12 11:28:07,508 INFO] 9728 iteration USE_EMA: False, train/sup_loss: 0.0032, train/unsup_loss: 0.6201, train/total_loss: 0.6233, train/util_ratio: 0.8750, train/run_time: 0.8840, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 11:31:48,873 INFO] 9984 iteration USE_EMA: False, train/sup_loss: 0.2999, train/unsup_loss: 0.4570, train/total_loss: 0.7569, train/util_ratio: 1.0000, train/run_time: 0.8183, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 11:35:32,860 INFO] validating...
[2023-08-12 11:35:37,615 INFO] confusion matrix:
[[0.875 0.    0.    ... 0.    0.    0.   ]
 [0.    0.75  0.    ... 0.    0.    0.   ]
 [0.    0.    0.625 ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.25  0.    0.   ]
 [0.    0.    0.    ... 0.    0.625 0.   ]
 [0.    0.    0.    ... 0.    0.    0.75 ]]
[2023-08-12 11:35:39,579 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-12 11:35:41,463 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/model_best.pth
[2023-08-12 11:35:41,464 INFO] 10240 iteration, USE_EMA: False, train/sup_loss: 0.0461, train/unsup_loss: 0.2738, train/total_loss: 0.3199, train/util_ratio: 1.0000, train/run_time: 0.7891, eval/loss: 2.3169, eval/top-1-acc: 0.5625, eval/balanced_acc: 0.5625, eval/precision: 0.5918, eval/recall: 0.5625, eval/F1: 0.5450, lr: 0.0001, train/prefecth_time: 0.0050 BEST_EVAL_ACC: 0.5625, at 10240 iters
[2023-08-12 11:39:28,253 INFO] 10496 iteration USE_EMA: False, train/sup_loss: 0.0161, train/unsup_loss: 0.7539, train/total_loss: 0.7699, train/util_ratio: 0.7500, train/run_time: 0.8248, lr: 0.0001, train/prefecth_time: 0.0052 
[2023-08-12 11:43:10,904 INFO] 10752 iteration USE_EMA: False, train/sup_loss: 0.7546, train/unsup_loss: 0.1388, train/total_loss: 0.8934, train/util_ratio: 1.0000, train/run_time: 0.8723, lr: 0.0001, train/prefecth_time: 0.0050 
[2023-08-12 11:46:55,264 INFO] 11008 iteration USE_EMA: False, train/sup_loss: 0.0140, train/unsup_loss: 0.6257, train/total_loss: 0.6397, train/util_ratio: 1.0000, train/run_time: 0.8180, lr: 0.0001, train/prefecth_time: 0.0056 
[2023-08-12 11:50:40,112 INFO] 11264 iteration USE_EMA: False, train/sup_loss: 0.0113, train/unsup_loss: 0.0267, train/total_loss: 0.0379, train/util_ratio: 0.7500, train/run_time: 0.8727, lr: 0.0001, train/prefecth_time: 0.0026 
[2023-08-12 11:54:21,793 INFO] 11520 iteration USE_EMA: False, train/sup_loss: 0.0015, train/unsup_loss: 0.1869, train/total_loss: 0.1884, train/util_ratio: 0.7500, train/run_time: 0.7844, lr: 0.0001, train/prefecth_time: 0.0049 
[2023-08-12 11:58:01,894 INFO] 11776 iteration USE_EMA: False, train/sup_loss: 0.0131, train/unsup_loss: 0.5684, train/total_loss: 0.5815, train/util_ratio: 1.0000, train/run_time: 0.7952, lr: 0.0001, train/prefecth_time: 0.0055 
[2023-08-12 12:01:42,729 INFO] 12032 iteration USE_EMA: False, train/sup_loss: 0.0170, train/unsup_loss: 0.3020, train/total_loss: 0.3191, train/util_ratio: 0.8750, train/run_time: 0.7598, lr: 0.0001, train/prefecth_time: 0.0118 
[2023-08-12 12:05:26,171 INFO] validating...
[2023-08-12 12:05:30,943 INFO] confusion matrix:
[[0.75  0.    0.    ... 0.    0.    0.   ]
 [0.    0.625 0.    ... 0.    0.    0.   ]
 [0.    0.    0.5   ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.    0.    0.   ]
 [0.    0.    0.    ... 0.    0.625 0.   ]
 [0.    0.    0.    ... 0.    0.    1.   ]]
[2023-08-12 12:05:32,838 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-12 12:05:34,748 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/model_best.pth
[2023-08-12 12:05:34,749 INFO] 12288 iteration, USE_EMA: False, train/sup_loss: 0.0110, train/unsup_loss: 0.4046, train/total_loss: 0.4156, train/util_ratio: 0.8750, train/run_time: 0.8501, eval/loss: 2.4303, eval/top-1-acc: 0.5650, eval/balanced_acc: 0.5650, eval/precision: 0.5780, eval/recall: 0.5650, eval/F1: 0.5551, lr: 0.0001, train/prefecth_time: 0.0050 BEST_EVAL_ACC: 0.5650, at 12288 iters
[2023-08-12 12:09:15,459 INFO] 12544 iteration USE_EMA: False, train/sup_loss: 0.0207, train/unsup_loss: 0.8535, train/total_loss: 0.8742, train/util_ratio: 0.6250, train/run_time: 0.8194, lr: 0.0001, train/prefecth_time: 0.0059 
[2023-08-12 12:12:48,149 INFO] 12800 iteration USE_EMA: False, train/sup_loss: 0.0074, train/unsup_loss: 0.2995, train/total_loss: 0.3069, train/util_ratio: 1.0000, train/run_time: 0.7909, lr: 0.0001, train/prefecth_time: 0.0093 
[2023-08-12 12:16:18,009 INFO] 13056 iteration USE_EMA: False, train/sup_loss: 0.0327, train/unsup_loss: 0.2926, train/total_loss: 0.3253, train/util_ratio: 1.0000, train/run_time: 0.8493, lr: 0.0001, train/prefecth_time: 0.0026 
[2023-08-12 12:19:50,421 INFO] 13312 iteration USE_EMA: False, train/sup_loss: 0.6862, train/unsup_loss: 0.4878, train/total_loss: 1.1740, train/util_ratio: 1.0000, train/run_time: 0.8376, lr: 0.0001, train/prefecth_time: 0.0035 
[2023-08-12 12:23:22,634 INFO] 13568 iteration USE_EMA: False, train/sup_loss: 0.0428, train/unsup_loss: 0.0376, train/total_loss: 0.0804, train/util_ratio: 1.0000, train/run_time: 0.7916, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 12:26:54,003 INFO] 13824 iteration USE_EMA: False, train/sup_loss: 0.0018, train/unsup_loss: 0.5187, train/total_loss: 0.5205, train/util_ratio: 1.0000, train/run_time: 0.7801, lr: 0.0001, train/prefecth_time: 0.0030 
[2023-08-12 12:30:23,112 INFO] 14080 iteration USE_EMA: False, train/sup_loss: 0.0051, train/unsup_loss: 0.6181, train/total_loss: 0.6233, train/util_ratio: 0.8750, train/run_time: 0.7217, lr: 0.0001, train/prefecth_time: 0.0042 
[2023-08-12 12:33:50,349 INFO] validating...
[2023-08-12 12:33:54,819 INFO] confusion matrix:
[[0.875 0.    0.    ... 0.    0.    0.   ]
 [0.    1.    0.    ... 0.    0.    0.   ]
 [0.    0.    0.75  ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.125 0.    0.   ]
 [0.    0.    0.    ... 0.    0.5   0.   ]
 [0.    0.    0.    ... 0.    0.    0.875]]
[2023-08-12 12:33:56,823 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-12 12:33:58,571 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/model_best.pth
[2023-08-12 12:33:58,573 INFO] 14336 iteration, USE_EMA: False, train/sup_loss: 0.0036, train/unsup_loss: 0.4384, train/total_loss: 0.4420, train/util_ratio: 0.8750, train/run_time: 0.7247, eval/loss: 2.7157, eval/top-1-acc: 0.5850, eval/balanced_acc: 0.5850, eval/precision: 0.5958, eval/recall: 0.5850, eval/F1: 0.5556, lr: 0.0001, train/prefecth_time: 0.0047 BEST_EVAL_ACC: 0.5850, at 14336 iters
[2023-08-12 12:37:31,625 INFO] 14592 iteration USE_EMA: False, train/sup_loss: 0.0086, train/unsup_loss: 0.0472, train/total_loss: 0.0558, train/util_ratio: 0.8750, train/run_time: 0.8897, lr: 0.0001, train/prefecth_time: 0.0073 
[2023-08-12 12:41:02,685 INFO] 14848 iteration USE_EMA: False, train/sup_loss: 0.0021, train/unsup_loss: 0.9976, train/total_loss: 0.9997, train/util_ratio: 1.0000, train/run_time: 0.8338, lr: 0.0001, train/prefecth_time: 0.0024 
[2023-08-12 12:44:35,656 INFO] 15104 iteration USE_EMA: False, train/sup_loss: 0.0016, train/unsup_loss: 0.0554, train/total_loss: 0.0569, train/util_ratio: 1.0000, train/run_time: 0.7755, lr: 0.0001, train/prefecth_time: 0.0050 
[2023-08-12 12:48:06,769 INFO] 15360 iteration USE_EMA: False, train/sup_loss: 0.7630, train/unsup_loss: 0.8937, train/total_loss: 1.6567, train/util_ratio: 1.0000, train/run_time: 0.7752, lr: 0.0001, train/prefecth_time: 0.0048 
[2023-08-12 12:51:39,379 INFO] 15616 iteration USE_EMA: False, train/sup_loss: 0.0593, train/unsup_loss: 0.1500, train/total_loss: 0.2093, train/util_ratio: 1.0000, train/run_time: 0.7320, lr: 0.0001, train/prefecth_time: 0.0051 
[2023-08-12 12:55:11,128 INFO] 15872 iteration USE_EMA: False, train/sup_loss: 0.0092, train/unsup_loss: 0.3434, train/total_loss: 0.3526, train/util_ratio: 0.8750, train/run_time: 0.8048, lr: 0.0001, train/prefecth_time: 0.0036 
[2023-08-12 12:58:42,701 INFO] 16128 iteration USE_EMA: False, train/sup_loss: 0.0012, train/unsup_loss: 0.2615, train/total_loss: 0.2627, train/util_ratio: 1.0000, train/run_time: 0.7408, lr: 0.0001, train/prefecth_time: 0.0044 
[2023-08-12 13:02:11,390 INFO] validating...
[2023-08-12 13:02:15,848 INFO] confusion matrix:
[[0.875 0.    0.    ... 0.    0.    0.   ]
 [0.125 0.875 0.    ... 0.    0.    0.   ]
 [0.    0.    0.75  ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.25  0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    0.875]]
[2023-08-12 13:02:17,679 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-12 13:02:19,453 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/model_best.pth
[2023-08-12 13:02:19,454 INFO] 16384 iteration, USE_EMA: False, train/sup_loss: 0.0057, train/unsup_loss: 0.5074, train/total_loss: 0.5131, train/util_ratio: 1.0000, train/run_time: 0.7945, eval/loss: 2.2520, eval/top-1-acc: 0.5875, eval/balanced_acc: 0.5875, eval/precision: 0.6280, eval/recall: 0.5875, eval/F1: 0.5701, lr: 0.0001, train/prefecth_time: 0.0026 BEST_EVAL_ACC: 0.5875, at 16384 iters
[2023-08-12 13:05:53,674 INFO] 16640 iteration USE_EMA: False, train/sup_loss: 0.0314, train/unsup_loss: 0.3712, train/total_loss: 0.4026, train/util_ratio: 0.8750, train/run_time: 0.8005, lr: 0.0001, train/prefecth_time: 0.0093 
[2023-08-12 13:09:24,839 INFO] 16896 iteration USE_EMA: False, train/sup_loss: 0.0019, train/unsup_loss: 0.0164, train/total_loss: 0.0183, train/util_ratio: 1.0000, train/run_time: 0.7326, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 13:12:57,438 INFO] 17152 iteration USE_EMA: False, train/sup_loss: 0.0092, train/unsup_loss: 0.7386, train/total_loss: 0.7478, train/util_ratio: 1.0000, train/run_time: 0.7836, lr: 0.0001, train/prefecth_time: 0.0029 
[2023-08-12 13:16:27,320 INFO] 17408 iteration USE_EMA: False, train/sup_loss: 0.0064, train/unsup_loss: 0.3809, train/total_loss: 0.3873, train/util_ratio: 0.7500, train/run_time: 0.7860, lr: 0.0001, train/prefecth_time: 0.0050 
[2023-08-12 13:19:57,559 INFO] 17664 iteration USE_EMA: False, train/sup_loss: 0.0008, train/unsup_loss: 1.7234, train/total_loss: 1.7242, train/util_ratio: 1.0000, train/run_time: 0.7679, lr: 0.0001, train/prefecth_time: 0.0027 
[2023-08-12 13:23:30,416 INFO] 17920 iteration USE_EMA: False, train/sup_loss: 0.0111, train/unsup_loss: 0.1039, train/total_loss: 0.1149, train/util_ratio: 1.0000, train/run_time: 0.7303, lr: 0.0001, train/prefecth_time: 0.0033 
[2023-08-12 13:26:58,085 INFO] 18176 iteration USE_EMA: False, train/sup_loss: 0.0022, train/unsup_loss: 0.0376, train/total_loss: 0.0398, train/util_ratio: 1.0000, train/run_time: 0.7877, lr: 0.0001, train/prefecth_time: 0.0038 
[2023-08-12 13:30:27,888 INFO] validating...
[2023-08-12 13:30:32,335 INFO] confusion matrix:
[[0.875 0.    0.    ... 0.    0.    0.   ]
 [0.25  0.625 0.    ... 0.    0.    0.   ]
 [0.    0.    1.    ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.125 0.    0.   ]
 [0.    0.    0.    ... 0.    0.5   0.   ]
 [0.    0.    0.    ... 0.    0.    1.   ]]
[2023-08-12 13:30:34,127 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-12 13:30:36,019 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/model_best.pth
[2023-08-12 13:30:36,025 INFO] 18432 iteration, USE_EMA: False, train/sup_loss: 0.1070, train/unsup_loss: 0.1626, train/total_loss: 0.2696, train/util_ratio: 1.0000, train/run_time: 0.7011, eval/loss: 2.2990, eval/top-1-acc: 0.6075, eval/balanced_acc: 0.6075, eval/precision: 0.6289, eval/recall: 0.6075, eval/F1: 0.5806, lr: 0.0001, train/prefecth_time: 0.0047 BEST_EVAL_ACC: 0.6075, at 18432 iters
[2023-08-12 13:34:08,265 INFO] 18688 iteration USE_EMA: False, train/sup_loss: 0.0040, train/unsup_loss: 0.0245, train/total_loss: 0.0284, train/util_ratio: 1.0000, train/run_time: 0.8291, lr: 0.0001, train/prefecth_time: 0.0072 
[2023-08-12 13:37:39,448 INFO] 18944 iteration USE_EMA: False, train/sup_loss: 0.0171, train/unsup_loss: 0.4038, train/total_loss: 0.4209, train/util_ratio: 0.8750, train/run_time: 0.7416, lr: 0.0001, train/prefecth_time: 0.0023 
[2023-08-12 13:41:11,001 INFO] 19200 iteration USE_EMA: False, train/sup_loss: 0.0049, train/unsup_loss: 0.0064, train/total_loss: 0.0114, train/util_ratio: 1.0000, train/run_time: 0.7809, lr: 0.0001, train/prefecth_time: 0.0026 
[2023-08-12 13:44:42,821 INFO] 19456 iteration USE_EMA: False, train/sup_loss: 0.0011, train/unsup_loss: 0.0378, train/total_loss: 0.0389, train/util_ratio: 0.6250, train/run_time: 0.7518, lr: 0.0001, train/prefecth_time: 0.0042 
[2023-08-12 13:48:16,744 INFO] 19712 iteration USE_EMA: False, train/sup_loss: 0.0016, train/unsup_loss: 0.0106, train/total_loss: 0.0122, train/util_ratio: 1.0000, train/run_time: 0.8083, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 13:51:47,329 INFO] 19968 iteration USE_EMA: False, train/sup_loss: 0.0007, train/unsup_loss: 0.6261, train/total_loss: 0.6268, train/util_ratio: 1.0000, train/run_time: 0.9019, lr: 0.0001, train/prefecth_time: 0.0148 
[2023-08-12 13:55:29,991 INFO] 20224 iteration USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.0514, train/total_loss: 0.0516, train/util_ratio: 0.8750, train/run_time: 0.8664, lr: 0.0001, train/prefecth_time: 0.0026 
[2023-08-12 13:59:10,142 INFO] validating...
[2023-08-12 13:59:14,529 INFO] confusion matrix:
[[0.875 0.    0.    ... 0.    0.    0.   ]
 [0.125 0.875 0.    ... 0.    0.    0.   ]
 [0.    0.    0.75  ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.375 0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.125 0.875]]
[2023-08-12 13:59:16,410 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-12 13:59:16,411 INFO] 20480 iteration, USE_EMA: False, train/sup_loss: 0.0037, train/unsup_loss: 0.0876, train/total_loss: 0.0913, train/util_ratio: 1.0000, train/run_time: 0.8564, eval/loss: 2.2568, eval/top-1-acc: 0.6050, eval/balanced_acc: 0.6050, eval/precision: 0.6366, eval/recall: 0.6050, eval/F1: 0.5749, lr: 0.0001, train/prefecth_time: 0.0048 BEST_EVAL_ACC: 0.6075, at 18432 iters
[2023-08-12 14:02:57,998 INFO] 20736 iteration USE_EMA: False, train/sup_loss: 0.0025, train/unsup_loss: 0.1138, train/total_loss: 0.1163, train/util_ratio: 1.0000, train/run_time: 0.8160, lr: 0.0001, train/prefecth_time: 0.0031 
[2023-08-12 14:06:38,219 INFO] 20992 iteration USE_EMA: False, train/sup_loss: 0.0067, train/unsup_loss: 0.0373, train/total_loss: 0.0441, train/util_ratio: 1.0000, train/run_time: 0.8459, lr: 0.0001, train/prefecth_time: 0.0045 
[2023-08-12 14:10:19,033 INFO] 21248 iteration USE_EMA: False, train/sup_loss: 0.0054, train/unsup_loss: 0.0227, train/total_loss: 0.0281, train/util_ratio: 1.0000, train/run_time: 0.7956, lr: 0.0001, train/prefecth_time: 0.0093 
[2023-08-12 14:13:58,402 INFO] 21504 iteration USE_EMA: False, train/sup_loss: 0.0042, train/unsup_loss: 0.2943, train/total_loss: 0.2985, train/util_ratio: 0.7500, train/run_time: 0.7433, lr: 0.0001, train/prefecth_time: 0.0062 
[2023-08-12 14:17:41,430 INFO] 21760 iteration USE_EMA: False, train/sup_loss: 0.0009, train/unsup_loss: 0.0791, train/total_loss: 0.0800, train/util_ratio: 0.8750, train/run_time: 0.8987, lr: 0.0001, train/prefecth_time: 0.0175 
[2023-08-12 14:21:23,618 INFO] 22016 iteration USE_EMA: False, train/sup_loss: 0.0025, train/unsup_loss: 0.2771, train/total_loss: 0.2797, train/util_ratio: 1.0000, train/run_time: 0.7617, lr: 0.0001, train/prefecth_time: 0.0054 
[2023-08-12 14:25:04,560 INFO] 22272 iteration USE_EMA: False, train/sup_loss: 0.0012, train/unsup_loss: 2.2413, train/total_loss: 2.2425, train/util_ratio: 1.0000, train/run_time: 0.7400, lr: 0.0001, train/prefecth_time: 0.0058 
[2023-08-12 14:28:44,329 INFO] validating...
[2023-08-12 14:28:48,783 INFO] confusion matrix:
[[0.875 0.    0.    ... 0.    0.    0.   ]
 [0.125 0.75  0.    ... 0.    0.    0.   ]
 [0.    0.    1.    ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.5   0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    0.875]]
[2023-08-12 14:28:50,669 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-12 14:28:50,671 INFO] 22528 iteration, USE_EMA: False, train/sup_loss: 1.0603, train/unsup_loss: 0.8371, train/total_loss: 1.8974, train/util_ratio: 1.0000, train/run_time: 0.8689, eval/loss: 2.5791, eval/top-1-acc: 0.5950, eval/balanced_acc: 0.5950, eval/precision: 0.5912, eval/recall: 0.5950, eval/F1: 0.5541, lr: 0.0001, train/prefecth_time: 0.0048 BEST_EVAL_ACC: 0.6075, at 18432 iters
[2023-08-12 14:32:34,878 INFO] 22784 iteration USE_EMA: False, train/sup_loss: 0.0034, train/unsup_loss: 0.0156, train/total_loss: 0.0190, train/util_ratio: 1.0000, train/run_time: 0.9412, lr: 0.0001, train/prefecth_time: 0.0037 
[2023-08-12 14:36:15,030 INFO] 23040 iteration USE_EMA: False, train/sup_loss: 0.0085, train/unsup_loss: 0.7344, train/total_loss: 0.7429, train/util_ratio: 1.0000, train/run_time: 0.7788, lr: 0.0001, train/prefecth_time: 0.0048 
[2023-08-12 14:39:58,953 INFO] 23296 iteration USE_EMA: False, train/sup_loss: 0.0013, train/unsup_loss: 1.3414, train/total_loss: 1.3427, train/util_ratio: 0.8750, train/run_time: 0.8092, lr: 0.0001, train/prefecth_time: 0.0093 
[2023-08-12 14:43:37,625 INFO] 23552 iteration USE_EMA: False, train/sup_loss: 0.1859, train/unsup_loss: 0.0121, train/total_loss: 0.1980, train/util_ratio: 0.8750, train/run_time: 0.8520, lr: 0.0001, train/prefecth_time: 0.0034 
[2023-08-12 14:47:19,916 INFO] 23808 iteration USE_EMA: False, train/sup_loss: 0.0008, train/unsup_loss: 0.7129, train/total_loss: 0.7137, train/util_ratio: 0.8750, train/run_time: 0.9017, lr: 0.0001, train/prefecth_time: 0.0184 
[2023-08-12 14:51:02,248 INFO] 24064 iteration USE_EMA: False, train/sup_loss: 0.0057, train/unsup_loss: 0.0433, train/total_loss: 0.0491, train/util_ratio: 1.0000, train/run_time: 0.7992, lr: 0.0001, train/prefecth_time: 0.0051 
[2023-08-12 14:54:40,918 INFO] 24320 iteration USE_EMA: False, train/sup_loss: 0.0005, train/unsup_loss: 0.0052, train/total_loss: 0.0057, train/util_ratio: 1.0000, train/run_time: 0.7806, lr: 0.0001, train/prefecth_time: 0.0030 
[2023-08-12 14:58:20,899 INFO] validating...
[2023-08-12 14:58:25,207 INFO] confusion matrix:
[[0.875 0.    0.    ... 0.    0.    0.   ]
 [0.125 0.625 0.    ... 0.    0.    0.   ]
 [0.    0.    1.    ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.5   0.    0.   ]
 [0.    0.    0.    ... 0.    0.375 0.   ]
 [0.    0.    0.125 ... 0.    0.    0.75 ]]
[2023-08-12 14:58:27,129 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-12 14:58:27,130 INFO] 24576 iteration, USE_EMA: False, train/sup_loss: 0.0037, train/unsup_loss: 0.0061, train/total_loss: 0.0097, train/util_ratio: 1.0000, train/run_time: 0.5048, eval/loss: 2.3217, eval/top-1-acc: 0.5875, eval/balanced_acc: 0.5875, eval/precision: 0.6442, eval/recall: 0.5875, eval/F1: 0.5685, lr: 0.0001, train/prefecth_time: 0.0031 BEST_EVAL_ACC: 0.6075, at 18432 iters
[2023-08-12 15:02:09,378 INFO] 24832 iteration USE_EMA: False, train/sup_loss: 0.0268, train/unsup_loss: 0.2174, train/total_loss: 0.2442, train/util_ratio: 1.0000, train/run_time: 0.8577, lr: 0.0001, train/prefecth_time: 0.0058 
[2023-08-12 15:05:49,120 INFO] 25088 iteration USE_EMA: False, train/sup_loss: 0.0006, train/unsup_loss: 0.0345, train/total_loss: 0.0351, train/util_ratio: 0.8750, train/run_time: 0.7868, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 15:09:30,806 INFO] 25344 iteration USE_EMA: False, train/sup_loss: 0.0180, train/unsup_loss: 0.6101, train/total_loss: 0.6281, train/util_ratio: 1.0000, train/run_time: 0.9016, lr: 0.0001, train/prefecth_time: 0.0071 
[2023-08-12 15:13:13,745 INFO] 25600 iteration USE_EMA: False, train/sup_loss: 0.0027, train/unsup_loss: 0.3070, train/total_loss: 0.3097, train/util_ratio: 1.0000, train/run_time: 0.9199, lr: 0.0001, train/prefecth_time: 0.0052 
[2023-08-12 15:16:56,293 INFO] 25856 iteration USE_EMA: False, train/sup_loss: 0.0012, train/unsup_loss: 0.6368, train/total_loss: 0.6380, train/util_ratio: 1.0000, train/run_time: 0.7824, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 15:20:36,707 INFO] 26112 iteration USE_EMA: False, train/sup_loss: 0.0023, train/unsup_loss: 0.5818, train/total_loss: 0.5841, train/util_ratio: 1.0000, train/run_time: 0.8721, lr: 0.0001, train/prefecth_time: 0.0048 
[2023-08-12 15:24:17,826 INFO] 26368 iteration USE_EMA: False, train/sup_loss: 0.0022, train/unsup_loss: 0.0429, train/total_loss: 0.0451, train/util_ratio: 0.8750, train/run_time: 0.8714, lr: 0.0001, train/prefecth_time: 0.0075 
[2023-08-12 15:27:59,653 INFO] validating...
[2023-08-12 15:28:04,037 INFO] confusion matrix:
[[0.875 0.    0.    ... 0.    0.    0.   ]
 [0.25  0.625 0.    ... 0.    0.    0.   ]
 [0.    0.    0.875 ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.125 0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    1.   ]]
[2023-08-12 15:28:05,874 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-12 15:28:07,735 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/model_best.pth
[2023-08-12 15:28:07,737 INFO] 26624 iteration, USE_EMA: False, train/sup_loss: 0.0014, train/unsup_loss: 0.5759, train/total_loss: 0.5773, train/util_ratio: 1.0000, train/run_time: 0.7980, eval/loss: 2.3398, eval/top-1-acc: 0.6225, eval/balanced_acc: 0.6225, eval/precision: 0.6668, eval/recall: 0.6225, eval/F1: 0.6054, lr: 0.0001, train/prefecth_time: 0.0054 BEST_EVAL_ACC: 0.6225, at 26624 iters
[2023-08-12 15:31:52,364 INFO] 26880 iteration USE_EMA: False, train/sup_loss: 0.0016, train/unsup_loss: 0.3673, train/total_loss: 0.3689, train/util_ratio: 1.0000, train/run_time: 0.8875, lr: 0.0001, train/prefecth_time: 0.0072 
[2023-08-12 15:35:31,737 INFO] 27136 iteration USE_EMA: False, train/sup_loss: 0.0009, train/unsup_loss: 0.5595, train/total_loss: 0.5604, train/util_ratio: 1.0000, train/run_time: 0.7760, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 15:39:13,348 INFO] 27392 iteration USE_EMA: False, train/sup_loss: 0.0009, train/unsup_loss: 0.0642, train/total_loss: 0.0651, train/util_ratio: 0.8750, train/run_time: 0.8663, lr: 0.0001, train/prefecth_time: 0.0039 
[2023-08-12 15:42:54,176 INFO] 27648 iteration USE_EMA: False, train/sup_loss: 0.0021, train/unsup_loss: 0.0316, train/total_loss: 0.0337, train/util_ratio: 0.8750, train/run_time: 0.8381, lr: 0.0001, train/prefecth_time: 0.0093 
[2023-08-12 15:46:37,531 INFO] 27904 iteration USE_EMA: False, train/sup_loss: 0.0073, train/unsup_loss: 0.1156, train/total_loss: 0.1229, train/util_ratio: 1.0000, train/run_time: 0.7570, lr: 0.0001, train/prefecth_time: 0.0048 
[2023-08-12 15:50:18,449 INFO] 28160 iteration USE_EMA: False, train/sup_loss: 0.0023, train/unsup_loss: 0.0032, train/total_loss: 0.0055, train/util_ratio: 1.0000, train/run_time: 0.8518, lr: 0.0001, train/prefecth_time: 0.0031 
[2023-08-12 15:53:58,228 INFO] 28416 iteration USE_EMA: False, train/sup_loss: 0.0217, train/unsup_loss: 0.0503, train/total_loss: 0.0720, train/util_ratio: 1.0000, train/run_time: 0.6522, lr: 0.0001, train/prefecth_time: 0.0137 
[2023-08-12 15:57:38,310 INFO] validating...
[2023-08-12 15:57:42,991 INFO] confusion matrix:
[[0.875 0.    0.    ... 0.    0.    0.   ]
 [0.25  0.75  0.    ... 0.    0.    0.   ]
 [0.    0.    1.    ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.5   0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    0.875]]
[2023-08-12 15:57:45,028 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-12 15:57:45,029 INFO] 28672 iteration, USE_EMA: False, train/sup_loss: 0.0004, train/unsup_loss: 0.6316, train/total_loss: 0.6320, train/util_ratio: 1.0000, train/run_time: 0.8012, eval/loss: 2.5573, eval/top-1-acc: 0.5925, eval/balanced_acc: 0.5925, eval/precision: 0.6304, eval/recall: 0.5925, eval/F1: 0.5711, lr: 0.0001, train/prefecth_time: 0.0026 BEST_EVAL_ACC: 0.6225, at 26624 iters
[2023-08-12 16:01:29,049 INFO] 28928 iteration USE_EMA: False, train/sup_loss: 0.0013, train/unsup_loss: 0.9409, train/total_loss: 0.9422, train/util_ratio: 0.8750, train/run_time: 0.8425, lr: 0.0001, train/prefecth_time: 0.0060 
[2023-08-12 16:05:11,133 INFO] 29184 iteration USE_EMA: False, train/sup_loss: 0.0022, train/unsup_loss: 0.3078, train/total_loss: 0.3100, train/util_ratio: 0.5000, train/run_time: 0.8452, lr: 0.0001, train/prefecth_time: 0.0046 
[2023-08-12 16:08:53,757 INFO] 29440 iteration USE_EMA: False, train/sup_loss: 0.0006, train/unsup_loss: 0.0072, train/total_loss: 0.0078, train/util_ratio: 1.0000, train/run_time: 0.8201, lr: 0.0001, train/prefecth_time: 0.0050 
[2023-08-12 16:12:34,496 INFO] 29696 iteration USE_EMA: False, train/sup_loss: 0.0055, train/unsup_loss: 0.0019, train/total_loss: 0.0074, train/util_ratio: 1.0000, train/run_time: 0.7783, lr: 0.0001, train/prefecth_time: 0.0031 
[2023-08-12 16:16:17,117 INFO] 29952 iteration USE_EMA: False, train/sup_loss: 0.0032, train/unsup_loss: 0.1744, train/total_loss: 0.1775, train/util_ratio: 1.0000, train/run_time: 0.7159, lr: 0.0001, train/prefecth_time: 0.0046 
[2023-08-12 16:19:58,710 INFO] 30208 iteration USE_EMA: False, train/sup_loss: 0.0154, train/unsup_loss: 0.1802, train/total_loss: 0.1957, train/util_ratio: 1.0000, train/run_time: 0.8137, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 16:23:38,492 INFO] 30464 iteration USE_EMA: False, train/sup_loss: 0.0008, train/unsup_loss: 0.0093, train/total_loss: 0.0102, train/util_ratio: 1.0000, train/run_time: 0.7724, lr: 0.0001, train/prefecth_time: 0.0044 
[2023-08-12 16:27:14,346 INFO] validating...
[2023-08-12 16:27:18,679 INFO] confusion matrix:
[[1.    0.    0.    ... 0.    0.    0.   ]
 [0.25  0.75  0.    ... 0.    0.    0.   ]
 [0.    0.    0.875 ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.25  0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    1.   ]]
[2023-08-12 16:27:20,435 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-12 16:27:22,491 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/model_best.pth
[2023-08-12 16:27:22,492 INFO] 30720 iteration, USE_EMA: False, train/sup_loss: 0.0013, train/unsup_loss: 0.2888, train/total_loss: 0.2902, train/util_ratio: 0.8750, train/run_time: 0.8256, eval/loss: 2.4274, eval/top-1-acc: 0.6550, eval/balanced_acc: 0.6550, eval/precision: 0.6903, eval/recall: 0.6550, eval/F1: 0.6458, lr: 0.0001, train/prefecth_time: 0.0047 BEST_EVAL_ACC: 0.6550, at 30720 iters
[2023-08-12 16:31:06,159 INFO] 30976 iteration USE_EMA: False, train/sup_loss: 0.0003, train/unsup_loss: 0.1795, train/total_loss: 0.1797, train/util_ratio: 0.8750, train/run_time: 0.9084, lr: 0.0001, train/prefecth_time: 0.0072 
[2023-08-12 16:34:45,419 INFO] 31232 iteration USE_EMA: False, train/sup_loss: 0.0039, train/unsup_loss: 0.3376, train/total_loss: 0.3414, train/util_ratio: 0.8750, train/run_time: 0.8754, lr: 0.0001, train/prefecth_time: 0.0062 
[2023-08-12 16:38:25,123 INFO] 31488 iteration USE_EMA: False, train/sup_loss: 0.0007, train/unsup_loss: 0.0047, train/total_loss: 0.0053, train/util_ratio: 0.8750, train/run_time: 0.9034, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 16:42:03,322 INFO] 31744 iteration USE_EMA: False, train/sup_loss: 0.0016, train/unsup_loss: 0.1316, train/total_loss: 0.1332, train/util_ratio: 1.0000, train/run_time: 0.8086, lr: 0.0001, train/prefecth_time: 0.0058 
[2023-08-12 16:45:42,929 INFO] 32000 iteration USE_EMA: False, train/sup_loss: 0.0017, train/unsup_loss: 0.0010, train/total_loss: 0.0027, train/util_ratio: 0.8750, train/run_time: 0.8292, lr: 0.0001, train/prefecth_time: 0.0056 
[2023-08-12 16:49:22,420 INFO] 32256 iteration USE_EMA: False, train/sup_loss: 0.0052, train/unsup_loss: 0.2311, train/total_loss: 0.2362, train/util_ratio: 1.0000, train/run_time: 0.8430, lr: 0.0001, train/prefecth_time: 0.0050 
[2023-08-12 16:53:03,338 INFO] 32512 iteration USE_EMA: False, train/sup_loss: 0.0039, train/unsup_loss: 0.0676, train/total_loss: 0.0714, train/util_ratio: 1.0000, train/run_time: 0.7702, lr: 0.0001, train/prefecth_time: 0.0051 
[2023-08-12 16:56:42,754 INFO] validating...
[2023-08-12 16:56:47,179 INFO] confusion matrix:
[[0.75  0.    0.    ... 0.    0.    0.   ]
 [0.125 0.875 0.    ... 0.    0.    0.   ]
 [0.    0.    0.75  ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.25  0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    1.   ]]
[2023-08-12 16:56:48,917 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-12 16:56:48,918 INFO] 32768 iteration, USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.0012, train/total_loss: 0.0014, train/util_ratio: 1.0000, train/run_time: 0.8560, eval/loss: 2.4235, eval/top-1-acc: 0.6275, eval/balanced_acc: 0.6275, eval/precision: 0.6425, eval/recall: 0.6275, eval/F1: 0.6202, lr: 0.0001, train/prefecth_time: 0.0093 BEST_EVAL_ACC: 0.6550, at 30720 iters
[2023-08-12 17:00:29,509 INFO] 33024 iteration USE_EMA: False, train/sup_loss: 0.0082, train/unsup_loss: 0.0127, train/total_loss: 0.0209, train/util_ratio: 0.8750, train/run_time: 0.8542, lr: 0.0001, train/prefecth_time: 0.0048 
[2023-08-12 17:04:10,665 INFO] 33280 iteration USE_EMA: False, train/sup_loss: 0.0006, train/unsup_loss: 0.1407, train/total_loss: 0.1413, train/util_ratio: 1.0000, train/run_time: 0.8545, lr: 0.0001, train/prefecth_time: 0.0080 
[2023-08-12 17:07:49,457 INFO] 33536 iteration USE_EMA: False, train/sup_loss: 0.0012, train/unsup_loss: 0.5006, train/total_loss: 0.5018, train/util_ratio: 1.0000, train/run_time: 0.8727, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 17:11:27,857 INFO] 33792 iteration USE_EMA: False, train/sup_loss: 0.0103, train/unsup_loss: 0.0092, train/total_loss: 0.0195, train/util_ratio: 0.8750, train/run_time: 0.7542, lr: 0.0001, train/prefecth_time: 0.0045 
[2023-08-12 17:15:10,788 INFO] 34048 iteration USE_EMA: False, train/sup_loss: 0.0056, train/unsup_loss: 0.0028, train/total_loss: 0.0084, train/util_ratio: 1.0000, train/run_time: 0.7479, lr: 0.0001, train/prefecth_time: 0.0051 
[2023-08-12 17:18:48,980 INFO] 34304 iteration USE_EMA: False, train/sup_loss: 0.0003, train/unsup_loss: 0.0616, train/total_loss: 0.0618, train/util_ratio: 1.0000, train/run_time: 0.9230, lr: 0.0001, train/prefecth_time: 0.0097 
[2023-08-12 17:22:27,484 INFO] 34560 iteration USE_EMA: False, train/sup_loss: 0.0003, train/unsup_loss: 0.0428, train/total_loss: 0.0432, train/util_ratio: 0.8750, train/run_time: 0.8297, lr: 0.0001, train/prefecth_time: 0.0048 
[2023-08-12 17:26:06,242 INFO] validating...
[2023-08-12 17:26:10,488 INFO] confusion matrix:
[[0.875 0.    0.    ... 0.    0.    0.   ]
 [0.25  0.75  0.    ... 0.    0.    0.   ]
 [0.    0.    0.75  ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.25  0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    0.875]]
[2023-08-12 17:26:12,224 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-12 17:26:12,225 INFO] 34816 iteration, USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 1.1430, train/total_loss: 1.1432, train/util_ratio: 1.0000, train/run_time: 0.7609, eval/loss: 2.5524, eval/top-1-acc: 0.6275, eval/balanced_acc: 0.6275, eval/precision: 0.6572, eval/recall: 0.6275, eval/F1: 0.6123, lr: 0.0001, train/prefecth_time: 0.0043 BEST_EVAL_ACC: 0.6550, at 30720 iters
[2023-08-12 17:29:53,343 INFO] 35072 iteration USE_EMA: False, train/sup_loss: 0.0007, train/unsup_loss: 0.0022, train/total_loss: 0.0029, train/util_ratio: 1.0000, train/run_time: 0.8290, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 17:33:33,267 INFO] 35328 iteration USE_EMA: False, train/sup_loss: 0.0014, train/unsup_loss: 0.5541, train/total_loss: 0.5555, train/util_ratio: 1.0000, train/run_time: 0.7453, lr: 0.0001, train/prefecth_time: 0.0048 
[2023-08-12 17:37:11,873 INFO] 35584 iteration USE_EMA: False, train/sup_loss: 0.0007, train/unsup_loss: 0.0848, train/total_loss: 0.0856, train/util_ratio: 0.8750, train/run_time: 0.7783, lr: 0.0001, train/prefecth_time: 0.0048 
[2023-08-12 17:40:51,758 INFO] 35840 iteration USE_EMA: False, train/sup_loss: 0.0011, train/unsup_loss: 0.4874, train/total_loss: 0.4884, train/util_ratio: 1.0000, train/run_time: 0.7949, lr: 0.0001, train/prefecth_time: 0.0032 
[2023-08-12 17:44:32,945 INFO] 36096 iteration USE_EMA: False, train/sup_loss: 0.0003, train/unsup_loss: 0.0365, train/total_loss: 0.0368, train/util_ratio: 0.8750, train/run_time: 0.8150, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 17:48:12,642 INFO] 36352 iteration USE_EMA: False, train/sup_loss: 0.0006, train/unsup_loss: 0.0641, train/total_loss: 0.0647, train/util_ratio: 1.0000, train/run_time: 0.8378, lr: 0.0001, train/prefecth_time: 0.0058 
[2023-08-12 17:51:56,141 INFO] 36608 iteration USE_EMA: False, train/sup_loss: 0.0008, train/unsup_loss: 0.1917, train/total_loss: 0.1925, train/util_ratio: 1.0000, train/run_time: 0.7241, lr: 0.0001, train/prefecth_time: 0.0041 
[2023-08-12 17:55:35,246 INFO] validating...
[2023-08-12 17:55:39,520 INFO] confusion matrix:
[[0.875 0.    0.    ... 0.    0.    0.   ]
 [0.25  0.625 0.    ... 0.    0.    0.   ]
 [0.    0.    1.    ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.5   0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    1.   ]]
[2023-08-12 17:55:41,624 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-12 17:55:41,626 INFO] 36864 iteration, USE_EMA: False, train/sup_loss: 0.0004, train/unsup_loss: 0.0093, train/total_loss: 0.0097, train/util_ratio: 1.0000, train/run_time: 0.8572, eval/loss: 2.5452, eval/top-1-acc: 0.6300, eval/balanced_acc: 0.6300, eval/precision: 0.6348, eval/recall: 0.6300, eval/F1: 0.6112, lr: 0.0001, train/prefecth_time: 0.0055 BEST_EVAL_ACC: 0.6550, at 30720 iters
[2023-08-12 17:59:23,360 INFO] 37120 iteration USE_EMA: False, train/sup_loss: 0.0008, train/unsup_loss: 0.0253, train/total_loss: 0.0261, train/util_ratio: 0.8750, train/run_time: 0.8823, lr: 0.0001, train/prefecth_time: 0.0037 
[2023-08-12 18:03:01,724 INFO] 37376 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0049, train/total_loss: 0.0050, train/util_ratio: 0.8750, train/run_time: 0.7543, lr: 0.0001, train/prefecth_time: 0.0058 
[2023-08-12 18:06:40,941 INFO] 37632 iteration USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.1664, train/total_loss: 0.1666, train/util_ratio: 1.0000, train/run_time: 0.4977, lr: 0.0001, train/prefecth_time: 0.0046 
[2023-08-12 18:10:19,670 INFO] 37888 iteration USE_EMA: False, train/sup_loss: 0.0004, train/unsup_loss: 0.0666, train/total_loss: 0.0671, train/util_ratio: 1.0000, train/run_time: 0.8204, lr: 0.0001, train/prefecth_time: 0.0038 
[2023-08-12 18:14:03,591 INFO] 38144 iteration USE_EMA: False, train/sup_loss: 0.0010, train/unsup_loss: 0.1983, train/total_loss: 0.1993, train/util_ratio: 1.0000, train/run_time: 0.7768, lr: 0.0001, train/prefecth_time: 0.0050 
[2023-08-12 18:17:45,023 INFO] 38400 iteration USE_EMA: False, train/sup_loss: 0.0005, train/unsup_loss: 0.0967, train/total_loss: 0.0972, train/util_ratio: 1.0000, train/run_time: 0.7572, lr: 0.0001, train/prefecth_time: 0.0149 
[2023-08-12 18:21:26,593 INFO] 38656 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.1651, train/total_loss: 0.1652, train/util_ratio: 1.0000, train/run_time: 0.8398, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 18:25:05,559 INFO] validating...
[2023-08-12 18:25:09,873 INFO] confusion matrix:
[[1.    0.    0.    ... 0.    0.    0.   ]
 [0.375 0.625 0.    ... 0.    0.    0.   ]
 [0.    0.    0.875 ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.375 0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    0.875]]
[2023-08-12 18:25:11,593 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-12 18:25:13,279 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/model_best.pth
[2023-08-12 18:25:13,280 INFO] 38912 iteration, USE_EMA: False, train/sup_loss: 0.0003, train/unsup_loss: 0.0198, train/total_loss: 0.0201, train/util_ratio: 1.0000, train/run_time: 0.9036, eval/loss: 2.1194, eval/top-1-acc: 0.6625, eval/balanced_acc: 0.6625, eval/precision: 0.6903, eval/recall: 0.6625, eval/F1: 0.6539, lr: 0.0001, train/prefecth_time: 0.0060 BEST_EVAL_ACC: 0.6625, at 38912 iters
[2023-08-12 18:28:54,478 INFO] 39168 iteration USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.0019, train/total_loss: 0.0021, train/util_ratio: 1.0000, train/run_time: 0.7908, lr: 0.0001, train/prefecth_time: 0.0044 
[2023-08-12 18:32:33,706 INFO] 39424 iteration USE_EMA: False, train/sup_loss: 0.0004, train/unsup_loss: 0.1331, train/total_loss: 0.1335, train/util_ratio: 1.0000, train/run_time: 0.8794, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 18:36:12,211 INFO] 39680 iteration USE_EMA: False, train/sup_loss: 0.0003, train/unsup_loss: 0.0091, train/total_loss: 0.0094, train/util_ratio: 1.0000, train/run_time: 0.9068, lr: 0.0001, train/prefecth_time: 0.0050 
[2023-08-12 18:39:52,216 INFO] 39936 iteration USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.3447, train/total_loss: 0.3449, train/util_ratio: 0.8750, train/run_time: 0.8959, lr: 0.0001, train/prefecth_time: 0.0044 
[2023-08-12 18:43:32,931 INFO] 40192 iteration USE_EMA: False, train/sup_loss: 0.0005, train/unsup_loss: 0.0070, train/total_loss: 0.0075, train/util_ratio: 1.0000, train/run_time: 0.7720, lr: 0.0001, train/prefecth_time: 0.0054 
[2023-08-12 18:47:12,022 INFO] 40448 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0071, train/total_loss: 0.0072, train/util_ratio: 0.8750, train/run_time: 0.8434, lr: 0.0001, train/prefecth_time: 0.0026 
[2023-08-12 18:50:52,866 INFO] 40704 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.1394, train/total_loss: 0.1394, train/util_ratio: 1.0000, train/run_time: 0.8204, lr: 0.0001, train/prefecth_time: 0.0050 
[2023-08-12 18:54:33,494 INFO] validating...
[2023-08-12 18:54:37,762 INFO] confusion matrix:
[[0.875 0.    0.    ... 0.    0.    0.   ]
 [0.25  0.75  0.    ... 0.    0.    0.   ]
 [0.    0.    0.75  ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.375 0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    0.875]]
[2023-08-12 18:54:39,706 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-12 18:54:39,707 INFO] 40960 iteration, USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.0115, train/total_loss: 0.0118, train/util_ratio: 1.0000, train/run_time: 0.7464, eval/loss: 2.2426, eval/top-1-acc: 0.6400, eval/balanced_acc: 0.6400, eval/precision: 0.6755, eval/recall: 0.6400, eval/F1: 0.6192, lr: 0.0001, train/prefecth_time: 0.0047 BEST_EVAL_ACC: 0.6625, at 38912 iters
[2023-08-12 18:58:20,337 INFO] 41216 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.5407, train/total_loss: 0.5408, train/util_ratio: 1.0000, train/run_time: 0.8487, lr: 0.0001, train/prefecth_time: 0.0048 
[2023-08-12 19:02:03,270 INFO] 41472 iteration USE_EMA: False, train/sup_loss: 0.0007, train/unsup_loss: 0.0045, train/total_loss: 0.0052, train/util_ratio: 1.0000, train/run_time: 0.9187, lr: 0.0001, train/prefecth_time: 0.0027 
[2023-08-12 19:05:42,616 INFO] 41728 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.5664, train/total_loss: 0.5665, train/util_ratio: 1.0000, train/run_time: 0.8164, lr: 0.0001, train/prefecth_time: 0.0024 
[2023-08-12 19:09:18,929 INFO] 41984 iteration USE_EMA: False, train/sup_loss: 0.1502, train/unsup_loss: 0.5011, train/total_loss: 0.6514, train/util_ratio: 1.0000, train/run_time: 0.7666, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 19:12:57,739 INFO] 42240 iteration USE_EMA: False, train/sup_loss: 0.0004, train/unsup_loss: 0.0003, train/total_loss: 0.0007, train/util_ratio: 1.0000, train/run_time: 0.8081, lr: 0.0001, train/prefecth_time: 0.0034 
[2023-08-12 19:16:37,287 INFO] 42496 iteration USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.0007, train/total_loss: 0.0009, train/util_ratio: 1.0000, train/run_time: 0.7726, lr: 0.0001, train/prefecth_time: 0.0048 
[2023-08-12 19:20:17,535 INFO] 42752 iteration USE_EMA: False, train/sup_loss: 0.0005, train/unsup_loss: 0.0003, train/total_loss: 0.0008, train/util_ratio: 1.0000, train/run_time: 0.8117, lr: 0.0001, train/prefecth_time: 0.0057 
[2023-08-12 19:23:56,368 INFO] validating...
[2023-08-12 19:23:59,934 INFO] confusion matrix:
[[0.875 0.    0.    ... 0.    0.    0.   ]
 [0.25  0.75  0.    ... 0.    0.    0.   ]
 [0.    0.    1.    ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.375 0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    1.   ]]
[2023-08-12 19:24:02,224 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-12 19:24:02,225 INFO] 43008 iteration, USE_EMA: False, train/sup_loss: 0.0011, train/unsup_loss: 0.0063, train/total_loss: 0.0074, train/util_ratio: 1.0000, train/run_time: 0.9295, eval/loss: 2.4556, eval/top-1-acc: 0.6175, eval/balanced_acc: 0.6175, eval/precision: 0.6400, eval/recall: 0.6175, eval/F1: 0.6030, lr: 0.0001, train/prefecth_time: 0.0026 BEST_EVAL_ACC: 0.6625, at 38912 iters
[2023-08-12 19:27:43,376 INFO] 43264 iteration USE_EMA: False, train/sup_loss: 0.0004, train/unsup_loss: 0.0086, train/total_loss: 0.0089, train/util_ratio: 0.8750, train/run_time: 0.8065, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 19:31:22,445 INFO] 43520 iteration USE_EMA: False, train/sup_loss: 0.0003, train/unsup_loss: 0.3663, train/total_loss: 0.3667, train/util_ratio: 1.0000, train/run_time: 0.8348, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 19:35:03,391 INFO] 43776 iteration USE_EMA: False, train/sup_loss: 0.0016, train/unsup_loss: 0.0569, train/total_loss: 0.0586, train/util_ratio: 1.0000, train/run_time: 0.8594, lr: 0.0001, train/prefecth_time: 0.0026 
[2023-08-12 19:38:43,486 INFO] 44032 iteration USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.0019, train/total_loss: 0.0020, train/util_ratio: 1.0000, train/run_time: 0.4533, lr: 0.0001, train/prefecth_time: 0.0046 
[2023-08-12 19:42:22,597 INFO] 44288 iteration USE_EMA: False, train/sup_loss: 0.0006, train/unsup_loss: 0.1179, train/total_loss: 0.1185, train/util_ratio: 1.0000, train/run_time: 0.8019, lr: 0.0001, train/prefecth_time: 0.0051 
[2023-08-12 19:46:02,375 INFO] 44544 iteration USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.1490, train/total_loss: 0.1492, train/util_ratio: 1.0000, train/run_time: 0.8028, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 19:49:44,229 INFO] 44800 iteration USE_EMA: False, train/sup_loss: 0.0018, train/unsup_loss: 0.3218, train/total_loss: 0.3236, train/util_ratio: 1.0000, train/run_time: 0.7713, lr: 0.0001, train/prefecth_time: 0.0068 
[2023-08-12 19:53:25,768 INFO] validating...
[2023-08-12 19:53:30,608 INFO] confusion matrix:
[[0.875 0.    0.    ... 0.    0.    0.   ]
 [0.25  0.75  0.    ... 0.    0.    0.   ]
 [0.    0.    0.75  ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.375 0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    1.   ]]
[2023-08-12 19:53:32,769 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-12 19:53:32,770 INFO] 45056 iteration, USE_EMA: False, train/sup_loss: 0.0041, train/unsup_loss: 0.2497, train/total_loss: 0.2538, train/util_ratio: 1.0000, train/run_time: 0.7949, eval/loss: 2.7252, eval/top-1-acc: 0.5875, eval/balanced_acc: 0.5875, eval/precision: 0.6278, eval/recall: 0.5875, eval/F1: 0.5736, lr: 0.0001, train/prefecth_time: 0.0026 BEST_EVAL_ACC: 0.6625, at 38912 iters
[2023-08-12 19:57:13,968 INFO] 45312 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.2549, train/total_loss: 0.2550, train/util_ratio: 1.0000, train/run_time: 0.8324, lr: 0.0001, train/prefecth_time: 0.0046 
[2023-08-12 20:00:55,265 INFO] 45568 iteration USE_EMA: False, train/sup_loss: 0.0016, train/unsup_loss: 0.9031, train/total_loss: 0.9047, train/util_ratio: 1.0000, train/run_time: 0.8280, lr: 0.0001, train/prefecth_time: 0.0075 
[2023-08-12 20:04:36,520 INFO] 45824 iteration USE_EMA: False, train/sup_loss: 0.0007, train/unsup_loss: 0.0333, train/total_loss: 0.0340, train/util_ratio: 1.0000, train/run_time: 0.7328, lr: 0.0001, train/prefecth_time: 0.0077 
[2023-08-12 20:08:17,467 INFO] 46080 iteration USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.1844, train/total_loss: 0.1845, train/util_ratio: 1.0000, train/run_time: 0.7864, lr: 0.0001, train/prefecth_time: 0.0034 
[2023-08-12 20:11:59,468 INFO] 46336 iteration USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.3435, train/total_loss: 0.3438, train/util_ratio: 1.0000, train/run_time: 1.0082, lr: 0.0001, train/prefecth_time: 0.0113 
[2023-08-12 20:15:39,997 INFO] 46592 iteration USE_EMA: False, train/sup_loss: 0.0014, train/unsup_loss: 0.1144, train/total_loss: 0.1157, train/util_ratio: 1.0000, train/run_time: 0.8238, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 20:19:20,120 INFO] 46848 iteration USE_EMA: False, train/sup_loss: 0.0054, train/unsup_loss: 0.0028, train/total_loss: 0.0082, train/util_ratio: 0.8750, train/run_time: 0.9055, lr: 0.0001, train/prefecth_time: 0.0050 
[2023-08-12 20:23:00,952 INFO] validating...
[2023-08-12 20:23:05,243 INFO] confusion matrix:
[[0.875 0.    0.    ... 0.    0.    0.   ]
 [0.25  0.75  0.    ... 0.    0.    0.   ]
 [0.    0.    1.    ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.5   0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    1.   ]]
[2023-08-12 20:23:07,194 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-12 20:23:07,196 INFO] 47104 iteration, USE_EMA: False, train/sup_loss: 0.0005, train/unsup_loss: 0.0260, train/total_loss: 0.0265, train/util_ratio: 1.0000, train/run_time: 0.8873, eval/loss: 2.4313, eval/top-1-acc: 0.6625, eval/balanced_acc: 0.6625, eval/precision: 0.6587, eval/recall: 0.6625, eval/F1: 0.6349, lr: 0.0001, train/prefecth_time: 0.0054 BEST_EVAL_ACC: 0.6625, at 38912 iters
[2023-08-12 20:26:47,549 INFO] 47360 iteration USE_EMA: False, train/sup_loss: 0.0019, train/unsup_loss: 0.4804, train/total_loss: 0.4823, train/util_ratio: 1.0000, train/run_time: 0.8982, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 20:30:28,559 INFO] 47616 iteration USE_EMA: False, train/sup_loss: 0.0037, train/unsup_loss: 0.0665, train/total_loss: 0.0703, train/util_ratio: 1.0000, train/run_time: 0.8480, lr: 0.0001, train/prefecth_time: 0.0037 
[2023-08-12 20:34:09,238 INFO] 47872 iteration USE_EMA: False, train/sup_loss: 0.0003, train/unsup_loss: 0.0069, train/total_loss: 0.0073, train/util_ratio: 1.0000, train/run_time: 0.8007, lr: 0.0001, train/prefecth_time: 0.0048 
[2023-08-12 20:37:49,441 INFO] 48128 iteration USE_EMA: False, train/sup_loss: 0.0017, train/unsup_loss: 0.0121, train/total_loss: 0.0138, train/util_ratio: 0.8750, train/run_time: 0.7530, lr: 0.0001, train/prefecth_time: 0.0048 
[2023-08-12 20:41:30,198 INFO] 48384 iteration USE_EMA: False, train/sup_loss: 0.0017, train/unsup_loss: 0.0078, train/total_loss: 0.0095, train/util_ratio: 1.0000, train/run_time: 0.8539, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 20:45:10,952 INFO] 48640 iteration USE_EMA: False, train/sup_loss: 0.0008, train/unsup_loss: 0.5818, train/total_loss: 0.5826, train/util_ratio: 0.8750, train/run_time: 0.8794, lr: 0.0001, train/prefecth_time: 0.0056 
[2023-08-12 20:48:52,393 INFO] 48896 iteration USE_EMA: False, train/sup_loss: 0.0005, train/unsup_loss: 0.0147, train/total_loss: 0.0152, train/util_ratio: 1.0000, train/run_time: 0.8945, lr: 0.0001, train/prefecth_time: 0.0033 
[2023-08-12 20:52:34,205 INFO] validating...
[2023-08-12 20:52:38,549 INFO] confusion matrix:
[[0.875 0.    0.    ... 0.    0.    0.   ]
 [0.25  0.75  0.    ... 0.    0.    0.   ]
 [0.    0.    1.    ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.375 0.    0.   ]
 [0.    0.    0.    ... 0.    0.625 0.   ]
 [0.    0.    0.    ... 0.    0.    0.875]]
[2023-08-12 20:52:40,512 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-12 20:52:40,514 INFO] 49152 iteration, USE_EMA: False, train/sup_loss: 0.0007, train/unsup_loss: 0.1303, train/total_loss: 0.1310, train/util_ratio: 1.0000, train/run_time: 0.9035, eval/loss: 2.3116, eval/top-1-acc: 0.6525, eval/balanced_acc: 0.6525, eval/precision: 0.6834, eval/recall: 0.6525, eval/F1: 0.6361, lr: 0.0001, train/prefecth_time: 0.0059 BEST_EVAL_ACC: 0.6625, at 38912 iters
[2023-08-12 20:56:18,708 INFO] 49408 iteration USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.0678, train/total_loss: 0.0680, train/util_ratio: 1.0000, train/run_time: 0.8008, lr: 0.0001, train/prefecth_time: 0.0051 
[2023-08-12 21:00:00,541 INFO] 49664 iteration USE_EMA: False, train/sup_loss: 0.0003, train/unsup_loss: 0.0872, train/total_loss: 0.0875, train/util_ratio: 1.0000, train/run_time: 0.8533, lr: 0.0001, train/prefecth_time: 0.0042 
[2023-08-12 21:03:40,758 INFO] 49920 iteration USE_EMA: False, train/sup_loss: 0.0007, train/unsup_loss: 0.0019, train/total_loss: 0.0025, train/util_ratio: 1.0000, train/run_time: 0.8428, lr: 0.0001, train/prefecth_time: 0.0037 
[2023-08-12 21:07:20,934 INFO] 50176 iteration USE_EMA: False, train/sup_loss: 0.0004, train/unsup_loss: 0.0253, train/total_loss: 0.0257, train/util_ratio: 1.0000, train/run_time: 0.8688, lr: 0.0001, train/prefecth_time: 0.0026 
[2023-08-12 21:11:02,707 INFO] 50432 iteration USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.0009, train/total_loss: 0.0011, train/util_ratio: 1.0000, train/run_time: 0.9086, lr: 0.0001, train/prefecth_time: 0.0026 
[2023-08-12 21:14:45,480 INFO] 50688 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0194, train/total_loss: 0.0194, train/util_ratio: 1.0000, train/run_time: 0.8798, lr: 0.0001, train/prefecth_time: 0.0030 
[2023-08-12 21:18:27,062 INFO] 50944 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0008, train/total_loss: 0.0009, train/util_ratio: 1.0000, train/run_time: 0.8713, lr: 0.0001, train/prefecth_time: 0.0050 
[2023-08-12 21:22:07,505 INFO] validating...
[2023-08-12 21:22:11,827 INFO] confusion matrix:
[[0.75  0.    0.    ... 0.    0.    0.   ]
 [0.25  0.75  0.    ... 0.    0.    0.   ]
 [0.    0.    1.    ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.375 0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    1.   ]]
[2023-08-12 21:22:13,820 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-12 21:22:13,820 INFO] 51200 iteration, USE_EMA: False, train/sup_loss: 0.0003, train/unsup_loss: 0.0086, train/total_loss: 0.0089, train/util_ratio: 1.0000, train/run_time: 0.7691, eval/loss: 2.4454, eval/top-1-acc: 0.6525, eval/balanced_acc: 0.6525, eval/precision: 0.6526, eval/recall: 0.6525, eval/F1: 0.6316, lr: 0.0001, train/prefecth_time: 0.0030 BEST_EVAL_ACC: 0.6625, at 38912 iters
[2023-08-12 21:25:54,987 INFO] 51456 iteration USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.0032, train/total_loss: 0.0034, train/util_ratio: 0.8750, train/run_time: 0.8962, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 21:29:38,210 INFO] 51712 iteration USE_EMA: False, train/sup_loss: 0.0083, train/unsup_loss: 0.4819, train/total_loss: 0.4902, train/util_ratio: 1.0000, train/run_time: 0.9043, lr: 0.0001, train/prefecth_time: 0.0035 
[2023-08-12 21:33:18,032 INFO] 51968 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.1775, train/total_loss: 0.1775, train/util_ratio: 1.0000, train/run_time: 0.9434, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 21:36:57,448 INFO] 52224 iteration USE_EMA: False, train/sup_loss: 0.0007, train/unsup_loss: 0.0112, train/total_loss: 0.0119, train/util_ratio: 1.0000, train/run_time: 0.7866, lr: 0.0001, train/prefecth_time: 0.0059 
[2023-08-12 21:40:38,997 INFO] 52480 iteration USE_EMA: False, train/sup_loss: 0.0262, train/unsup_loss: 0.0020, train/total_loss: 0.0281, train/util_ratio: 1.0000, train/run_time: 0.8852, lr: 0.0001, train/prefecth_time: 0.0068 
[2023-08-12 21:44:22,208 INFO] 52736 iteration USE_EMA: False, train/sup_loss: 0.0073, train/unsup_loss: 0.0044, train/total_loss: 0.0117, train/util_ratio: 1.0000, train/run_time: 0.7407, lr: 0.0001, train/prefecth_time: 0.0076 
[2023-08-12 21:48:05,097 INFO] 52992 iteration USE_EMA: False, train/sup_loss: 0.0010, train/unsup_loss: 0.0655, train/total_loss: 0.0665, train/util_ratio: 1.0000, train/run_time: 0.8318, lr: 0.0001, train/prefecth_time: 0.0044 
[2023-08-12 21:51:46,604 INFO] validating...
[2023-08-12 21:51:50,840 INFO] confusion matrix:
[[0.75  0.    0.    ... 0.    0.    0.   ]
 [0.125 0.625 0.    ... 0.    0.    0.   ]
 [0.    0.    1.    ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.5   0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    1.   ]]
[2023-08-12 21:51:52,660 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-12 21:51:52,661 INFO] 53248 iteration, USE_EMA: False, train/sup_loss: 0.0010, train/unsup_loss: 0.0049, train/total_loss: 0.0059, train/util_ratio: 1.0000, train/run_time: 0.9009, eval/loss: 2.7087, eval/top-1-acc: 0.6300, eval/balanced_acc: 0.6300, eval/precision: 0.6656, eval/recall: 0.6300, eval/F1: 0.6137, lr: 0.0001, train/prefecth_time: 0.0026 BEST_EVAL_ACC: 0.6625, at 38912 iters
[2023-08-12 21:55:34,321 INFO] 53504 iteration USE_EMA: False, train/sup_loss: 0.0012, train/unsup_loss: 0.3386, train/total_loss: 0.3398, train/util_ratio: 1.0000, train/run_time: 0.8931, lr: 0.0001, train/prefecth_time: 0.0178 
[2023-08-12 21:59:14,926 INFO] 53760 iteration USE_EMA: False, train/sup_loss: 0.0009, train/unsup_loss: 0.6013, train/total_loss: 0.6022, train/util_ratio: 1.0000, train/run_time: 0.7532, lr: 0.0001, train/prefecth_time: 0.0029 
[2023-08-12 22:03:04,063 INFO] 54016 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.2586, train/total_loss: 0.2587, train/util_ratio: 1.0000, train/run_time: 0.8137, lr: 0.0001, train/prefecth_time: 0.0057 
[2023-08-12 22:06:48,231 INFO] 54272 iteration USE_EMA: False, train/sup_loss: 0.0003, train/unsup_loss: 0.0625, train/total_loss: 0.0628, train/util_ratio: 1.0000, train/run_time: 0.8872, lr: 0.0001, train/prefecth_time: 0.0059 
[2023-08-12 22:10:30,085 INFO] 54528 iteration USE_EMA: False, train/sup_loss: 0.0003, train/unsup_loss: 0.0302, train/total_loss: 0.0306, train/util_ratio: 1.0000, train/run_time: 0.7881, lr: 0.0001, train/prefecth_time: 0.0033 
[2023-08-12 22:14:09,115 INFO] 54784 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0041, train/total_loss: 0.0042, train/util_ratio: 1.0000, train/run_time: 0.7831, lr: 0.0001, train/prefecth_time: 0.0028 
[2023-08-12 22:17:51,504 INFO] 55040 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0005, train/total_loss: 0.0006, train/util_ratio: 1.0000, train/run_time: 0.7969, lr: 0.0001, train/prefecth_time: 0.0026 
[2023-08-12 22:21:31,330 INFO] validating...
[2023-08-12 22:21:35,662 INFO] confusion matrix:
[[0.75  0.    0.    ... 0.    0.    0.   ]
 [0.25  0.625 0.    ... 0.    0.    0.   ]
 [0.    0.    1.    ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.25  0.    0.   ]
 [0.    0.    0.    ... 0.    0.875 0.   ]
 [0.    0.    0.    ... 0.    0.    1.   ]]
[2023-08-12 22:21:37,451 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-12 22:21:37,451 INFO] 55296 iteration, USE_EMA: False, train/sup_loss: 0.0003, train/unsup_loss: 0.0016, train/total_loss: 0.0020, train/util_ratio: 1.0000, train/run_time: 0.8896, eval/loss: 2.7008, eval/top-1-acc: 0.5975, eval/balanced_acc: 0.5975, eval/precision: 0.6212, eval/recall: 0.5975, eval/F1: 0.5765, lr: 0.0001, train/prefecth_time: 0.0044 BEST_EVAL_ACC: 0.6625, at 38912 iters
[2023-08-12 22:25:18,929 INFO] 55552 iteration USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.0119, train/total_loss: 0.0121, train/util_ratio: 1.0000, train/run_time: 0.9131, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 22:28:58,809 INFO] 55808 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.5212, train/total_loss: 0.5213, train/util_ratio: 1.0000, train/run_time: 0.7363, lr: 0.0001, train/prefecth_time: 0.0048 
[2023-08-12 22:32:37,896 INFO] 56064 iteration USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.0076, train/total_loss: 0.0078, train/util_ratio: 1.0000, train/run_time: 0.8624, lr: 0.0001, train/prefecth_time: 0.0026 
[2023-08-12 22:36:17,599 INFO] 56320 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0014, train/total_loss: 0.0014, train/util_ratio: 1.0000, train/run_time: 0.8484, lr: 0.0001, train/prefecth_time: 0.0029 
[2023-08-12 22:39:58,910 INFO] 56576 iteration USE_EMA: False, train/sup_loss: 0.0003, train/unsup_loss: 0.0514, train/total_loss: 0.0517, train/util_ratio: 0.8750, train/run_time: 0.8041, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 22:43:39,310 INFO] 56832 iteration USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.0727, train/total_loss: 0.0729, train/util_ratio: 1.0000, train/run_time: 0.8188, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 22:47:18,432 INFO] 57088 iteration USE_EMA: False, train/sup_loss: 0.0004, train/unsup_loss: 0.0784, train/total_loss: 0.0788, train/util_ratio: 1.0000, train/run_time: 0.7914, lr: 0.0001, train/prefecth_time: 0.0051 
[2023-08-12 22:51:01,446 INFO] validating...
[2023-08-12 22:51:05,941 INFO] confusion matrix:
[[1.   0.   0.   ... 0.   0.   0.  ]
 [0.25 0.75 0.   ... 0.   0.   0.  ]
 [0.   0.   0.75 ... 0.   0.   0.  ]
 ...
 [0.   0.   0.   ... 0.5  0.   0.  ]
 [0.   0.   0.   ... 0.   0.75 0.  ]
 [0.   0.   0.   ... 0.   0.   1.  ]]
[2023-08-12 22:51:07,700 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-12 22:51:07,701 INFO] 57344 iteration, USE_EMA: False, train/sup_loss: 0.0005, train/unsup_loss: 0.0038, train/total_loss: 0.0043, train/util_ratio: 1.0000, train/run_time: 0.8329, eval/loss: 2.4185, eval/top-1-acc: 0.6200, eval/balanced_acc: 0.6200, eval/precision: 0.6577, eval/recall: 0.6200, eval/F1: 0.6059, lr: 0.0001, train/prefecth_time: 0.0018 BEST_EVAL_ACC: 0.6625, at 38912 iters
[2023-08-12 22:54:49,205 INFO] 57600 iteration USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.1898, train/total_loss: 0.1900, train/util_ratio: 1.0000, train/run_time: 0.8847, lr: 0.0001, train/prefecth_time: 0.0032 
[2023-08-12 22:58:29,630 INFO] 57856 iteration USE_EMA: False, train/sup_loss: 0.0005, train/unsup_loss: 0.0007, train/total_loss: 0.0012, train/util_ratio: 1.0000, train/run_time: 0.8604, lr: 0.0001, train/prefecth_time: 0.0027 
[2023-08-12 23:02:09,050 INFO] 58112 iteration USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.0003, train/total_loss: 0.0005, train/util_ratio: 1.0000, train/run_time: 0.8740, lr: 0.0001, train/prefecth_time: 0.0032 
[2023-08-12 23:05:49,070 INFO] 58368 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0004, train/total_loss: 0.0006, train/util_ratio: 1.0000, train/run_time: 0.8504, lr: 0.0001, train/prefecth_time: 0.0026 
[2023-08-12 23:09:30,072 INFO] 58624 iteration USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.0458, train/total_loss: 0.0459, train/util_ratio: 1.0000, train/run_time: 0.8617, lr: 0.0001, train/prefecth_time: 0.0051 
[2023-08-12 23:13:10,436 INFO] 58880 iteration USE_EMA: False, train/sup_loss: 0.0011, train/unsup_loss: 0.2458, train/total_loss: 0.2469, train/util_ratio: 1.0000, train/run_time: 0.7790, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 23:16:52,613 INFO] 59136 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.5653, train/total_loss: 0.5653, train/util_ratio: 1.0000, train/run_time: 0.7714, lr: 0.0001, train/prefecth_time: 0.0036 
[2023-08-12 23:20:32,135 INFO] validating...
[2023-08-12 23:20:36,484 INFO] confusion matrix:
[[0.875 0.    0.    ... 0.    0.    0.   ]
 [0.25  0.75  0.    ... 0.    0.    0.   ]
 [0.    0.    0.625 ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.25  0.    0.   ]
 [0.    0.    0.    ... 0.    0.625 0.   ]
 [0.    0.    0.    ... 0.    0.    1.   ]]
[2023-08-12 23:20:38,416 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-12 23:20:38,418 INFO] 59392 iteration, USE_EMA: False, train/sup_loss: 0.0003, train/unsup_loss: 0.1022, train/total_loss: 0.1025, train/util_ratio: 1.0000, train/run_time: 0.7654, eval/loss: 2.7803, eval/top-1-acc: 0.6100, eval/balanced_acc: 0.6100, eval/precision: 0.6386, eval/recall: 0.6100, eval/F1: 0.5938, lr: 0.0001, train/prefecth_time: 0.0047 BEST_EVAL_ACC: 0.6625, at 38912 iters
[2023-08-12 23:24:19,310 INFO] 59648 iteration USE_EMA: False, train/sup_loss: 0.0003, train/unsup_loss: 0.6537, train/total_loss: 0.6541, train/util_ratio: 1.0000, train/run_time: 0.7549, lr: 0.0001, train/prefecth_time: 0.0026 
[2023-08-12 23:27:59,588 INFO] 59904 iteration USE_EMA: False, train/sup_loss: 0.0021, train/unsup_loss: 0.0357, train/total_loss: 0.0378, train/util_ratio: 1.0000, train/run_time: 0.7886, lr: 0.0001, train/prefecth_time: 0.0026 
[2023-08-12 23:31:38,618 INFO] 60160 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0023, train/total_loss: 0.0024, train/util_ratio: 0.8750, train/run_time: 0.9334, lr: 0.0001, train/prefecth_time: 0.0048 
[2023-08-12 23:35:19,053 INFO] 60416 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0008, train/total_loss: 0.0009, train/util_ratio: 0.7500, train/run_time: 0.7564, lr: 0.0001, train/prefecth_time: 0.0048 
[2023-08-12 23:39:01,542 INFO] 60672 iteration USE_EMA: False, train/sup_loss: 0.0003, train/unsup_loss: 0.3689, train/total_loss: 0.3692, train/util_ratio: 1.0000, train/run_time: 0.8333, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-12 23:42:39,894 INFO] 60928 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0008, train/total_loss: 0.0010, train/util_ratio: 1.0000, train/run_time: 0.7627, lr: 0.0001, train/prefecth_time: 0.0058 
[2023-08-12 23:46:21,949 INFO] 61184 iteration USE_EMA: False, train/sup_loss: 0.0003, train/unsup_loss: 0.0343, train/total_loss: 0.0347, train/util_ratio: 1.0000, train/run_time: 0.8647, lr: 0.0001, train/prefecth_time: 0.0056 
[2023-08-12 23:50:02,886 INFO] validating...
[2023-08-12 23:50:07,016 INFO] confusion matrix:
[[0.875 0.    0.    ... 0.    0.    0.   ]
 [0.25  0.5   0.    ... 0.    0.    0.   ]
 [0.    0.    0.875 ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.375 0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    1.   ]]
[2023-08-12 23:50:08,700 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-12 23:50:08,700 INFO] 61440 iteration, USE_EMA: False, train/sup_loss: 0.0011, train/unsup_loss: 0.0041, train/total_loss: 0.0052, train/util_ratio: 1.0000, train/run_time: 0.7377, eval/loss: 2.7447, eval/top-1-acc: 0.6225, eval/balanced_acc: 0.6225, eval/precision: 0.6486, eval/recall: 0.6225, eval/F1: 0.6045, lr: 0.0001, train/prefecth_time: 0.0026 BEST_EVAL_ACC: 0.6625, at 38912 iters
[2023-08-12 23:53:48,803 INFO] 61696 iteration USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.0158, train/total_loss: 0.0160, train/util_ratio: 1.0000, train/run_time: 0.8066, lr: 0.0001, train/prefecth_time: 0.0149 
[2023-08-12 23:57:29,826 INFO] 61952 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0030, train/total_loss: 0.0031, train/util_ratio: 1.0000, train/run_time: 0.8656, lr: 0.0001, train/prefecth_time: 0.0093 
[2023-08-13 00:01:11,504 INFO] 62208 iteration USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.0022, train/total_loss: 0.0024, train/util_ratio: 1.0000, train/run_time: 0.8669, lr: 0.0001, train/prefecth_time: 0.0051 
[2023-08-13 00:04:51,251 INFO] 62464 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0033, train/total_loss: 0.0034, train/util_ratio: 1.0000, train/run_time: 0.8386, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-13 00:08:32,530 INFO] 62720 iteration USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.0555, train/total_loss: 0.0557, train/util_ratio: 1.0000, train/run_time: 0.7492, lr: 0.0001, train/prefecth_time: 0.0094 
[2023-08-13 00:12:13,334 INFO] 62976 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0441, train/total_loss: 0.0442, train/util_ratio: 1.0000, train/run_time: 0.9808, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-13 00:15:52,667 INFO] 63232 iteration USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.0480, train/total_loss: 0.0482, train/util_ratio: 1.0000, train/run_time: 0.8101, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-13 00:19:33,136 INFO] validating...
[2023-08-13 00:19:37,492 INFO] confusion matrix:
[[0.875 0.    0.    ... 0.    0.    0.   ]
 [0.125 0.75  0.    ... 0.    0.    0.   ]
 [0.    0.    1.    ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.375 0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    1.   ]]
[2023-08-13 00:19:39,355 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-13 00:19:39,356 INFO] 63488 iteration, USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0007, train/total_loss: 0.0008, train/util_ratio: 1.0000, train/run_time: 0.8356, eval/loss: 2.9791, eval/top-1-acc: 0.6075, eval/balanced_acc: 0.6075, eval/precision: 0.6376, eval/recall: 0.6075, eval/F1: 0.5939, lr: 0.0001, train/prefecth_time: 0.0030 BEST_EVAL_ACC: 0.6625, at 38912 iters
[2023-08-13 00:23:19,638 INFO] 63744 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0071, train/total_loss: 0.0072, train/util_ratio: 1.0000, train/run_time: 0.8537, lr: 0.0001, train/prefecth_time: 0.0048 
[2023-08-13 00:27:01,084 INFO] 64000 iteration USE_EMA: False, train/sup_loss: 0.0025, train/unsup_loss: 1.0560, train/total_loss: 1.0585, train/util_ratio: 1.0000, train/run_time: 0.8016, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-13 00:30:42,896 INFO] 64256 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0032, train/total_loss: 0.0033, train/util_ratio: 1.0000, train/run_time: 0.8696, lr: 0.0001, train/prefecth_time: 0.0048 
[2023-08-13 00:34:28,873 INFO] 64512 iteration USE_EMA: False, train/sup_loss: 0.0003, train/unsup_loss: 0.0016, train/total_loss: 0.0019, train/util_ratio: 1.0000, train/run_time: 0.8188, lr: 0.0001, train/prefecth_time: 0.0033 
[2023-08-13 00:38:13,138 INFO] 64768 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.1244, train/total_loss: 0.1244, train/util_ratio: 1.0000, train/run_time: 0.8800, lr: 0.0001, train/prefecth_time: 0.0050 
[2023-08-13 00:41:55,406 INFO] 65024 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.2534, train/total_loss: 0.2535, train/util_ratio: 1.0000, train/run_time: 0.8549, lr: 0.0001, train/prefecth_time: 0.0056 
[2023-08-13 00:45:35,097 INFO] 65280 iteration USE_EMA: False, train/sup_loss: 0.0004, train/unsup_loss: 0.0133, train/total_loss: 0.0137, train/util_ratio: 1.0000, train/run_time: 0.7713, lr: 0.0001, train/prefecth_time: 0.0048 
[2023-08-13 00:49:13,878 INFO] validating...
[2023-08-13 00:49:18,225 INFO] confusion matrix:
[[0.75  0.    0.    ... 0.    0.    0.   ]
 [0.25  0.625 0.    ... 0.    0.    0.   ]
 [0.    0.    0.875 ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.25  0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    1.   ]]
[2023-08-13 00:49:20,451 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-13 00:49:20,453 INFO] 65536 iteration, USE_EMA: False, train/sup_loss: 0.0043, train/unsup_loss: 0.0468, train/total_loss: 0.0511, train/util_ratio: 1.0000, train/run_time: 0.7458, eval/loss: 2.8902, eval/top-1-acc: 0.6100, eval/balanced_acc: 0.6100, eval/precision: 0.6363, eval/recall: 0.6100, eval/F1: 0.5934, lr: 0.0001, train/prefecth_time: 0.0048 BEST_EVAL_ACC: 0.6625, at 38912 iters
[2023-08-13 00:53:01,448 INFO] 65792 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0030, train/total_loss: 0.0031, train/util_ratio: 1.0000, train/run_time: 0.8530, lr: 0.0001, train/prefecth_time: 0.0051 
[2023-08-13 00:56:43,356 INFO] 66048 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.3602, train/total_loss: 0.3603, train/util_ratio: 1.0000, train/run_time: 0.8740, lr: 0.0001, train/prefecth_time: 0.0026 
[2023-08-13 01:00:22,522 INFO] 66304 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.5663, train/total_loss: 0.5663, train/util_ratio: 1.0000, train/run_time: 0.8211, lr: 0.0001, train/prefecth_time: 0.0080 
[2023-08-13 01:04:03,836 INFO] 66560 iteration USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.0021, train/total_loss: 0.0023, train/util_ratio: 1.0000, train/run_time: 0.8183, lr: 0.0001, train/prefecth_time: 0.0045 
[2023-08-13 01:07:45,150 INFO] 66816 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.6057, train/total_loss: 0.6058, train/util_ratio: 1.0000, train/run_time: 0.8938, lr: 0.0001, train/prefecth_time: 0.0026 
[2023-08-13 01:11:24,930 INFO] 67072 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.2006, train/total_loss: 0.2007, train/util_ratio: 1.0000, train/run_time: 0.8935, lr: 0.0001, train/prefecth_time: 0.0031 
[2023-08-13 01:15:04,512 INFO] 67328 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0012, train/total_loss: 0.0013, train/util_ratio: 1.0000, train/run_time: 0.8776, lr: 0.0001, train/prefecth_time: 0.0073 
[2023-08-13 01:18:47,703 INFO] validating...
[2023-08-13 01:18:52,138 INFO] confusion matrix:
[[0.625 0.    0.    ... 0.    0.    0.   ]
 [0.25  0.75  0.    ... 0.    0.    0.   ]
 [0.    0.    0.875 ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.25  0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    0.875]]
[2023-08-13 01:18:54,280 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-13 01:18:54,281 INFO] 67584 iteration, USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0076, train/total_loss: 0.0077, train/util_ratio: 1.0000, train/run_time: 0.8568, eval/loss: 2.9302, eval/top-1-acc: 0.6225, eval/balanced_acc: 0.6225, eval/precision: 0.6522, eval/recall: 0.6225, eval/F1: 0.6085, lr: 0.0001, train/prefecth_time: 0.0050 BEST_EVAL_ACC: 0.6625, at 38912 iters
[2023-08-13 01:22:36,631 INFO] 67840 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0293, train/total_loss: 0.0294, train/util_ratio: 1.0000, train/run_time: 0.7550, lr: 0.0001, train/prefecth_time: 0.0031 
[2023-08-13 01:26:17,490 INFO] 68096 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.1809, train/total_loss: 0.1809, train/util_ratio: 1.0000, train/run_time: 0.7732, lr: 0.0001, train/prefecth_time: 0.0059 
[2023-08-13 01:30:00,045 INFO] 68352 iteration USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.1253, train/total_loss: 0.1255, train/util_ratio: 1.0000, train/run_time: 0.8583, lr: 0.0001, train/prefecth_time: 0.0072 
[2023-08-13 01:33:41,201 INFO] 68608 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0005, train/total_loss: 0.0006, train/util_ratio: 1.0000, train/run_time: 0.7518, lr: 0.0001, train/prefecth_time: 0.0050 
[2023-08-13 01:37:23,149 INFO] 68864 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0001, train/total_loss: 0.0002, train/util_ratio: 1.0000, train/run_time: 0.7585, lr: 0.0001, train/prefecth_time: 0.0061 
[2023-08-13 01:41:06,270 INFO] 69120 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.4445, train/total_loss: 0.4445, train/util_ratio: 1.0000, train/run_time: 0.8893, lr: 0.0001, train/prefecth_time: 0.0058 
[2023-08-13 01:44:46,542 INFO] 69376 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0013, train/total_loss: 0.0014, train/util_ratio: 1.0000, train/run_time: 0.8792, lr: 0.0001, train/prefecth_time: 0.0047 
[2023-08-13 01:48:27,762 INFO] validating...
[2023-08-13 01:48:32,197 INFO] confusion matrix:
[[0.75  0.    0.    ... 0.    0.    0.   ]
 [0.125 0.625 0.    ... 0.    0.    0.   ]
 [0.    0.    0.875 ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.375 0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    1.   ]]
[2023-08-13 01:48:34,317 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-13 01:48:34,318 INFO] 69632 iteration, USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.1602, train/total_loss: 0.1604, train/util_ratio: 1.0000, train/run_time: 0.7568, eval/loss: 2.9277, eval/top-1-acc: 0.6375, eval/balanced_acc: 0.6375, eval/precision: 0.6821, eval/recall: 0.6375, eval/F1: 0.6295, lr: 0.0001, train/prefecth_time: 0.0050 BEST_EVAL_ACC: 0.6625, at 38912 iters
[2023-08-13 01:52:17,902 INFO] 69888 iteration USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.0009, train/total_loss: 0.0011, train/util_ratio: 1.0000, train/run_time: 0.7831, lr: 0.0001, train/prefecth_time: 0.0026 
[2023-08-13 01:55:19,761 INFO] 70144 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0704, train/total_loss: 0.0704, train/util_ratio: 1.0000, train/run_time: 0.5672, lr: 0.0001, train/prefecth_time: 0.0068 
[2023-08-13 01:57:50,461 INFO] 70400 iteration USE_EMA: False, train/sup_loss: 0.0008, train/unsup_loss: 0.0160, train/total_loss: 0.0168, train/util_ratio: 0.8750, train/run_time: 0.5388, lr: 0.0001, train/prefecth_time: 0.0065 
[2023-08-13 02:00:21,341 INFO] 70656 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0059, train/total_loss: 0.0060, train/util_ratio: 1.0000, train/run_time: 0.5556, lr: 0.0001, train/prefecth_time: 0.0053 
[2023-08-13 02:02:52,471 INFO] 70912 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.5214, train/total_loss: 0.5214, train/util_ratio: 1.0000, train/run_time: 0.5569, lr: 0.0001, train/prefecth_time: 0.0066 
[2023-08-13 02:05:22,916 INFO] 71168 iteration USE_EMA: False, train/sup_loss: 0.0003, train/unsup_loss: 0.1003, train/total_loss: 0.1006, train/util_ratio: 1.0000, train/run_time: 0.5612, lr: 0.0001, train/prefecth_time: 0.0055 
[2023-08-13 02:07:54,167 INFO] 71424 iteration USE_EMA: False, train/sup_loss: 0.0004, train/unsup_loss: 0.0002, train/total_loss: 0.0006, train/util_ratio: 1.0000, train/run_time: 0.5533, lr: 0.0001, train/prefecth_time: 0.0049 
[2023-08-13 02:10:24,191 INFO] validating...
[2023-08-13 02:10:27,633 INFO] confusion matrix:
[[0.5   0.    0.    ... 0.    0.    0.125]
 [0.125 0.375 0.    ... 0.    0.    0.   ]
 [0.    0.    0.75  ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.375 0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    1.   ]]
[2023-08-13 02:10:29,561 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-13 02:10:29,562 INFO] 71680 iteration, USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.0415, train/total_loss: 0.0417, train/util_ratio: 1.0000, train/run_time: 0.5241, eval/loss: 3.1439, eval/top-1-acc: 0.6125, eval/balanced_acc: 0.6125, eval/precision: 0.6237, eval/recall: 0.6125, eval/F1: 0.5945, lr: 0.0001, train/prefecth_time: 0.0067 BEST_EVAL_ACC: 0.6625, at 38912 iters
[2023-08-13 02:12:59,307 INFO] 71936 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0002, train/total_loss: 0.0003, train/util_ratio: 1.0000, train/run_time: 0.5652, lr: 0.0001, train/prefecth_time: 0.0046 
[2023-08-13 02:15:30,855 INFO] 72192 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0079, train/total_loss: 0.0079, train/util_ratio: 1.0000, train/run_time: 0.5231, lr: 0.0001, train/prefecth_time: 0.0066 
[2023-08-13 02:18:01,395 INFO] 72448 iteration USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.0042, train/total_loss: 0.0043, train/util_ratio: 1.0000, train/run_time: 0.5425, lr: 0.0001, train/prefecth_time: 0.0046 
[2023-08-13 02:20:31,477 INFO] 72704 iteration USE_EMA: False, train/sup_loss: 0.0328, train/unsup_loss: 0.3585, train/total_loss: 0.3913, train/util_ratio: 1.0000, train/run_time: 0.5386, lr: 0.0001, train/prefecth_time: 0.0050 
[2023-08-13 02:23:02,249 INFO] 72960 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0015, train/total_loss: 0.0016, train/util_ratio: 1.0000, train/run_time: 0.4988, lr: 0.0001, train/prefecth_time: 0.0066 
[2023-08-13 02:25:32,709 INFO] 73216 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0003, train/total_loss: 0.0004, train/util_ratio: 1.0000, train/run_time: 0.5485, lr: 0.0001, train/prefecth_time: 0.0073 
[2023-08-13 02:28:03,888 INFO] 73472 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0285, train/total_loss: 0.0286, train/util_ratio: 1.0000, train/run_time: 0.5524, lr: 0.0001, train/prefecth_time: 0.0067 
[2023-08-13 02:30:35,300 INFO] validating...
[2023-08-13 02:30:38,736 INFO] confusion matrix:
[[0.625 0.    0.    ... 0.    0.    0.   ]
 [0.25  0.75  0.    ... 0.    0.    0.   ]
 [0.    0.    0.875 ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.25  0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    1.   ]]
[2023-08-13 02:30:40,690 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-13 02:30:40,692 INFO] 73728 iteration, USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0006, train/total_loss: 0.0007, train/util_ratio: 1.0000, train/run_time: 0.5273, eval/loss: 3.1428, eval/top-1-acc: 0.6150, eval/balanced_acc: 0.6150, eval/precision: 0.6384, eval/recall: 0.6150, eval/F1: 0.6021, lr: 0.0001, train/prefecth_time: 0.0066 BEST_EVAL_ACC: 0.6625, at 38912 iters
[2023-08-13 02:33:08,805 INFO] 73984 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0556, train/total_loss: 0.0557, train/util_ratio: 1.0000, train/run_time: 0.5440, lr: 0.0001, train/prefecth_time: 0.0056 
[2023-08-13 02:35:39,019 INFO] 74240 iteration USE_EMA: False, train/sup_loss: 0.0250, train/unsup_loss: 0.0903, train/total_loss: 0.1153, train/util_ratio: 1.0000, train/run_time: 0.5475, lr: 0.0001, train/prefecth_time: 0.0046 
[2023-08-13 02:38:11,125 INFO] 74496 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.7841, train/total_loss: 0.7842, train/util_ratio: 1.0000, train/run_time: 0.5472, lr: 0.0001, train/prefecth_time: 0.0068 
[2023-08-13 02:40:41,784 INFO] 74752 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0116, train/total_loss: 0.0117, train/util_ratio: 1.0000, train/run_time: 0.5469, lr: 0.0001, train/prefecth_time: 0.0046 
[2023-08-13 02:43:13,288 INFO] 75008 iteration USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.0214, train/total_loss: 0.0216, train/util_ratio: 1.0000, train/run_time: 0.4979, lr: 0.0001, train/prefecth_time: 0.0067 
[2023-08-13 02:45:44,571 INFO] 75264 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0136, train/total_loss: 0.0136, train/util_ratio: 1.0000, train/run_time: 0.5358, lr: 0.0001, train/prefecth_time: 0.0066 
[2023-08-13 02:48:15,278 INFO] 75520 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0030, train/total_loss: 0.0031, train/util_ratio: 1.0000, train/run_time: 0.5387, lr: 0.0001, train/prefecth_time: 0.0067 
[2023-08-13 02:50:47,120 INFO] validating...
[2023-08-13 02:50:50,582 INFO] confusion matrix:
[[1.    0.    0.    ... 0.    0.    0.   ]
 [0.25  0.75  0.    ... 0.    0.    0.   ]
 [0.    0.    1.    ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.375 0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    1.   ]]
[2023-08-13 02:50:52,435 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-13 02:50:52,437 INFO] 75776 iteration, USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0210, train/total_loss: 0.0210, train/util_ratio: 1.0000, train/run_time: 0.5155, eval/loss: 2.9998, eval/top-1-acc: 0.6025, eval/balanced_acc: 0.6025, eval/precision: 0.5967, eval/recall: 0.6025, eval/F1: 0.5782, lr: 0.0001, train/prefecth_time: 0.0073 BEST_EVAL_ACC: 0.6625, at 38912 iters
[2023-08-13 02:53:22,859 INFO] 76032 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0130, train/total_loss: 0.0131, train/util_ratio: 1.0000, train/run_time: 0.5427, lr: 0.0001, train/prefecth_time: 0.0046 
[2023-08-13 02:55:53,602 INFO] 76288 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0078, train/total_loss: 0.0079, train/util_ratio: 1.0000, train/run_time: 0.5065, lr: 0.0001, train/prefecth_time: 0.0067 
[2023-08-13 02:58:24,248 INFO] 76544 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0001, train/total_loss: 0.0001, train/util_ratio: 1.0000, train/run_time: 0.5213, lr: 0.0001, train/prefecth_time: 0.0046 
[2023-08-13 03:00:56,193 INFO] 76800 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0031, train/total_loss: 0.0032, train/util_ratio: 1.0000, train/run_time: 0.5369, lr: 0.0001, train/prefecth_time: 0.0067 
[2023-08-13 03:03:28,405 INFO] 77056 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0011, train/total_loss: 0.0012, train/util_ratio: 1.0000, train/run_time: 0.5082, lr: 0.0001, train/prefecth_time: 0.0058 
[2023-08-13 03:05:59,515 INFO] 77312 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0033, train/total_loss: 0.0034, train/util_ratio: 1.0000, train/run_time: 0.5553, lr: 0.0001, train/prefecth_time: 0.0066 
[2023-08-13 03:08:30,006 INFO] 77568 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0009, train/total_loss: 0.0010, train/util_ratio: 1.0000, train/run_time: 0.5482, lr: 0.0001, train/prefecth_time: 0.0066 
[2023-08-13 03:11:00,884 INFO] validating...
[2023-08-13 03:11:04,319 INFO] confusion matrix:
[[0.75  0.    0.    ... 0.    0.    0.   ]
 [0.25  0.75  0.    ... 0.    0.    0.   ]
 [0.    0.    0.875 ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.375 0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    0.875]]
[2023-08-13 03:11:06,234 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-13 03:11:06,235 INFO] 77824 iteration, USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.3797, train/total_loss: 0.3798, train/util_ratio: 1.0000, train/run_time: 0.5242, eval/loss: 2.9759, eval/top-1-acc: 0.6100, eval/balanced_acc: 0.6100, eval/precision: 0.6012, eval/recall: 0.6100, eval/F1: 0.5815, lr: 0.0001, train/prefecth_time: 0.0046 BEST_EVAL_ACC: 0.6625, at 38912 iters
[2023-08-13 03:13:34,817 INFO] 78080 iteration USE_EMA: False, train/sup_loss: 0.0017, train/unsup_loss: 0.0004, train/total_loss: 0.0022, train/util_ratio: 1.0000, train/run_time: 0.5431, lr: 0.0001, train/prefecth_time: 0.0046 
[2023-08-13 03:16:05,170 INFO] 78336 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0460, train/total_loss: 0.0461, train/util_ratio: 1.0000, train/run_time: 0.5381, lr: 0.0001, train/prefecth_time: 0.0056 
[2023-08-13 03:18:35,250 INFO] 78592 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.7443, train/total_loss: 0.7444, train/util_ratio: 1.0000, train/run_time: 0.5254, lr: 0.0001, train/prefecth_time: 0.0062 
[2023-08-13 03:21:07,442 INFO] 78848 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0009, train/total_loss: 0.0009, train/util_ratio: 1.0000, train/run_time: 0.5168, lr: 0.0001, train/prefecth_time: 0.0067 
[2023-08-13 03:23:39,328 INFO] 79104 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0081, train/total_loss: 0.0082, train/util_ratio: 1.0000, train/run_time: 0.5156, lr: 0.0001, train/prefecth_time: 0.0045 
[2023-08-13 03:26:10,165 INFO] 79360 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.4911, train/total_loss: 0.4912, train/util_ratio: 1.0000, train/run_time: 0.5208, lr: 0.0000, train/prefecth_time: 0.0024 
[2023-08-13 03:28:41,308 INFO] 79616 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0082, train/total_loss: 0.0082, train/util_ratio: 1.0000, train/run_time: 0.5135, lr: 0.0000, train/prefecth_time: 0.0049 
[2023-08-13 03:31:12,058 INFO] validating...
[2023-08-13 03:31:15,557 INFO] confusion matrix:
[[0.625 0.    0.    ... 0.    0.    0.   ]
 [0.125 0.625 0.    ... 0.    0.    0.   ]
 [0.    0.    0.75  ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.25  0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    1.   ]]
[2023-08-13 03:31:17,347 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-13 03:31:17,348 INFO] 79872 iteration, USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.1532, train/total_loss: 0.1534, train/util_ratio: 1.0000, train/run_time: 0.5800, eval/loss: 3.1596, eval/top-1-acc: 0.5975, eval/balanced_acc: 0.5975, eval/precision: 0.6051, eval/recall: 0.5975, eval/F1: 0.5766, lr: 0.0000, train/prefecth_time: 0.0054 BEST_EVAL_ACC: 0.6625, at 38912 iters
[2023-08-13 03:33:46,655 INFO] 80128 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0171, train/total_loss: 0.0173, train/util_ratio: 1.0000, train/run_time: 0.5303, lr: 0.0000, train/prefecth_time: 0.0066 
[2023-08-13 03:36:18,011 INFO] 80384 iteration USE_EMA: False, train/sup_loss: 0.0003, train/unsup_loss: 0.0003, train/total_loss: 0.0006, train/util_ratio: 1.0000, train/run_time: 0.5943, lr: 0.0000, train/prefecth_time: 0.0053 
[2023-08-13 03:38:49,388 INFO] 80640 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0026, train/total_loss: 0.0026, train/util_ratio: 1.0000, train/run_time: 0.5367, lr: 0.0000, train/prefecth_time: 0.0045 
[2023-08-13 03:41:21,249 INFO] 80896 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.5291, train/total_loss: 0.5292, train/util_ratio: 1.0000, train/run_time: 0.5574, lr: 0.0000, train/prefecth_time: 0.0046 
[2023-08-13 03:43:53,080 INFO] 81152 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0014, train/total_loss: 0.0014, train/util_ratio: 1.0000, train/run_time: 0.5681, lr: 0.0000, train/prefecth_time: 0.0031 
[2023-08-13 03:46:23,458 INFO] 81408 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0039, train/total_loss: 0.0039, train/util_ratio: 1.0000, train/run_time: 0.5427, lr: 0.0000, train/prefecth_time: 0.0046 
[2023-08-13 03:48:53,764 INFO] 81664 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0000, train/total_loss: 0.0000, train/util_ratio: 1.0000, train/run_time: 0.5649, lr: 0.0000, train/prefecth_time: 0.0046 
[2023-08-13 03:51:25,638 INFO] validating...
[2023-08-13 03:51:29,263 INFO] confusion matrix:
[[0.625 0.    0.    ... 0.    0.    0.   ]
 [0.25  0.5   0.    ... 0.    0.    0.   ]
 [0.    0.    0.75  ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.25  0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    0.875]]
[2023-08-13 03:51:31,561 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-13 03:51:31,563 INFO] 81920 iteration, USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.2184, train/total_loss: 0.2185, train/util_ratio: 1.0000, train/run_time: 0.5666, eval/loss: 2.9837, eval/top-1-acc: 0.6175, eval/balanced_acc: 0.6175, eval/precision: 0.6463, eval/recall: 0.6175, eval/F1: 0.5994, lr: 0.0000, train/prefecth_time: 0.0046 BEST_EVAL_ACC: 0.6625, at 38912 iters
[2023-08-13 03:54:01,216 INFO] 82176 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0226, train/total_loss: 0.0226, train/util_ratio: 1.0000, train/run_time: 0.5170, lr: 0.0000, train/prefecth_time: 0.0066 
[2023-08-13 03:56:31,795 INFO] 82432 iteration USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.0028, train/total_loss: 0.0030, train/util_ratio: 1.0000, train/run_time: 0.5160, lr: 0.0000, train/prefecth_time: 0.0024 
[2023-08-13 03:59:03,087 INFO] 82688 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0012, train/total_loss: 0.0012, train/util_ratio: 1.0000, train/run_time: 0.5142, lr: 0.0000, train/prefecth_time: 0.0067 
[2023-08-13 04:01:34,034 INFO] 82944 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0969, train/total_loss: 0.0969, train/util_ratio: 1.0000, train/run_time: 0.5163, lr: 0.0000, train/prefecth_time: 0.0067 
[2023-08-13 04:04:05,766 INFO] 83200 iteration USE_EMA: False, train/sup_loss: 0.0008, train/unsup_loss: 0.0013, train/total_loss: 0.0020, train/util_ratio: 1.0000, train/run_time: 0.5099, lr: 0.0000, train/prefecth_time: 0.0041 
[2023-08-13 04:06:36,907 INFO] 83456 iteration USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.1356, train/total_loss: 0.1358, train/util_ratio: 1.0000, train/run_time: 0.5407, lr: 0.0000, train/prefecth_time: 0.0046 
[2023-08-13 04:09:08,264 INFO] 83712 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0000, train/total_loss: 0.0001, train/util_ratio: 1.0000, train/run_time: 0.5377, lr: 0.0000, train/prefecth_time: 0.0054 
[2023-08-13 04:11:39,052 INFO] validating...
[2023-08-13 04:11:42,540 INFO] confusion matrix:
[[0.625 0.    0.    ... 0.    0.    0.   ]
 [0.375 0.625 0.    ... 0.    0.    0.   ]
 [0.    0.    0.875 ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.25  0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    0.875]]
[2023-08-13 04:11:44,535 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-13 04:11:44,536 INFO] 83968 iteration, USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0014, train/total_loss: 0.0014, train/util_ratio: 1.0000, train/run_time: 0.5373, eval/loss: 3.0983, eval/top-1-acc: 0.6225, eval/balanced_acc: 0.6225, eval/precision: 0.6485, eval/recall: 0.6225, eval/F1: 0.6090, lr: 0.0000, train/prefecth_time: 0.0066 BEST_EVAL_ACC: 0.6625, at 38912 iters
[2023-08-13 04:14:14,121 INFO] 84224 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.3446, train/total_loss: 0.3446, train/util_ratio: 1.0000, train/run_time: 0.5601, lr: 0.0000, train/prefecth_time: 0.0059 
[2023-08-13 04:16:45,649 INFO] 84480 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0000, train/total_loss: 0.0000, train/util_ratio: 1.0000, train/run_time: 0.5754, lr: 0.0000, train/prefecth_time: 0.0046 
[2023-08-13 04:19:16,448 INFO] 84736 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0608, train/total_loss: 0.0608, train/util_ratio: 1.0000, train/run_time: 0.5538, lr: 0.0000, train/prefecth_time: 0.0046 
[2023-08-13 04:21:47,362 INFO] 84992 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.2397, train/total_loss: 0.2397, train/util_ratio: 1.0000, train/run_time: 0.5246, lr: 0.0000, train/prefecth_time: 0.0046 
[2023-08-13 04:24:18,545 INFO] 85248 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.6562, train/total_loss: 0.6562, train/util_ratio: 1.0000, train/run_time: 0.5674, lr: 0.0000, train/prefecth_time: 0.0048 
[2023-08-13 04:26:49,423 INFO] 85504 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0000, train/total_loss: 0.0001, train/util_ratio: 1.0000, train/run_time: 0.5608, lr: 0.0000, train/prefecth_time: 0.0046 
[2023-08-13 04:29:19,895 INFO] 85760 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0107, train/total_loss: 0.0108, train/util_ratio: 1.0000, train/run_time: 0.4725, lr: 0.0000, train/prefecth_time: 0.0046 
[2023-08-13 04:31:51,650 INFO] validating...
[2023-08-13 04:31:55,074 INFO] confusion matrix:
[[0.5   0.    0.    ... 0.    0.    0.125]
 [0.25  0.75  0.    ... 0.    0.    0.   ]
 [0.    0.    0.875 ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.25  0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    1.   ]]
[2023-08-13 04:31:57,035 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-13 04:31:57,037 INFO] 86016 iteration, USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0013, train/total_loss: 0.0013, train/util_ratio: 1.0000, train/run_time: 0.5726, eval/loss: 2.9332, eval/top-1-acc: 0.6100, eval/balanced_acc: 0.6100, eval/precision: 0.6258, eval/recall: 0.6100, eval/F1: 0.5906, lr: 0.0000, train/prefecth_time: 0.0047 BEST_EVAL_ACC: 0.6625, at 38912 iters
[2023-08-13 04:34:27,044 INFO] 86272 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0024, train/total_loss: 0.0025, train/util_ratio: 1.0000, train/run_time: 0.5452, lr: 0.0000, train/prefecth_time: 0.0052 
[2023-08-13 04:36:58,058 INFO] 86528 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.5575, train/total_loss: 0.5575, train/util_ratio: 1.0000, train/run_time: 0.5215, lr: 0.0000, train/prefecth_time: 0.0045 
[2023-08-13 04:39:29,157 INFO] 86784 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0013, train/total_loss: 0.0013, train/util_ratio: 1.0000, train/run_time: 0.5660, lr: 0.0000, train/prefecth_time: 0.0046 
[2023-08-13 04:41:59,749 INFO] 87040 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0014, train/total_loss: 0.0015, train/util_ratio: 1.0000, train/run_time: 0.5457, lr: 0.0000, train/prefecth_time: 0.0045 
[2023-08-13 04:44:30,195 INFO] 87296 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0001, train/total_loss: 0.0002, train/util_ratio: 1.0000, train/run_time: 0.5266, lr: 0.0000, train/prefecth_time: 0.0060 
[2023-08-13 04:47:01,888 INFO] 87552 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0004, train/total_loss: 0.0005, train/util_ratio: 1.0000, train/run_time: 0.5486, lr: 0.0000, train/prefecth_time: 0.0025 
[2023-08-13 04:49:31,919 INFO] 87808 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0112, train/total_loss: 0.0112, train/util_ratio: 0.8750, train/run_time: 0.5308, lr: 0.0000, train/prefecth_time: 0.0046 
[2023-08-13 04:52:02,097 INFO] validating...
[2023-08-13 04:52:05,546 INFO] confusion matrix:
[[0.625 0.    0.    ... 0.    0.    0.   ]
 [0.25  0.75  0.    ... 0.    0.    0.   ]
 [0.    0.    0.625 ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.25  0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    1.   ]]
[2023-08-13 04:52:07,374 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-13 04:52:07,376 INFO] 88064 iteration, USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0116, train/total_loss: 0.0116, train/util_ratio: 1.0000, train/run_time: 0.5522, eval/loss: 3.0328, eval/top-1-acc: 0.6075, eval/balanced_acc: 0.6075, eval/precision: 0.6333, eval/recall: 0.6075, eval/F1: 0.5890, lr: 0.0000, train/prefecth_time: 0.0064 BEST_EVAL_ACC: 0.6625, at 38912 iters
[2023-08-13 04:54:37,404 INFO] 88320 iteration USE_EMA: False, train/sup_loss: 0.0003, train/unsup_loss: 0.0321, train/total_loss: 0.0324, train/util_ratio: 1.0000, train/run_time: 0.5232, lr: 0.0000, train/prefecth_time: 0.0037 
[2023-08-13 04:57:07,807 INFO] 88576 iteration USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.0005, train/total_loss: 0.0007, train/util_ratio: 1.0000, train/run_time: 0.5445, lr: 0.0000, train/prefecth_time: 0.0035 
[2023-08-13 04:59:38,897 INFO] 88832 iteration USE_EMA: False, train/sup_loss: 0.0002, train/unsup_loss: 0.0072, train/total_loss: 0.0073, train/util_ratio: 1.0000, train/run_time: 0.5162, lr: 0.0000, train/prefecth_time: 0.0045 
[2023-08-13 05:02:11,627 INFO] 89088 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0002, train/total_loss: 0.0003, train/util_ratio: 1.0000, train/run_time: 0.5024, lr: 0.0000, train/prefecth_time: 0.0067 
[2023-08-13 05:04:42,273 INFO] 89344 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0012, train/total_loss: 0.0012, train/util_ratio: 1.0000, train/run_time: 0.5349, lr: 0.0000, train/prefecth_time: 0.0045 
[2023-08-13 05:07:12,749 INFO] 89600 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0439, train/total_loss: 0.0440, train/util_ratio: 1.0000, train/run_time: 0.5475, lr: 0.0000, train/prefecth_time: 0.0040 
[2023-08-13 05:09:43,494 INFO] 89856 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0001, train/total_loss: 0.0001, train/util_ratio: 1.0000, train/run_time: 0.5555, lr: 0.0000, train/prefecth_time: 0.0054 
[2023-08-13 05:12:14,585 INFO] validating...
[2023-08-13 05:12:18,012 INFO] confusion matrix:
[[0.625 0.    0.    ... 0.    0.    0.   ]
 [0.25  0.75  0.    ... 0.    0.    0.   ]
 [0.    0.    1.    ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.25  0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    1.   ]]
[2023-08-13 05:12:19,914 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-13 05:12:19,915 INFO] 90112 iteration, USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0001, train/total_loss: 0.0001, train/util_ratio: 1.0000, train/run_time: 0.5594, eval/loss: 3.1788, eval/top-1-acc: 0.6350, eval/balanced_acc: 0.6350, eval/precision: 0.6429, eval/recall: 0.6350, eval/F1: 0.6169, lr: 0.0000, train/prefecth_time: 0.0045 BEST_EVAL_ACC: 0.6625, at 38912 iters
[2023-08-13 05:14:49,449 INFO] 90368 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0000, train/total_loss: 0.0000, train/util_ratio: 1.0000, train/run_time: 0.5571, lr: 0.0000, train/prefecth_time: 0.0047 
[2023-08-13 05:17:20,432 INFO] 90624 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0000, train/total_loss: 0.0000, train/util_ratio: 1.0000, train/run_time: 0.5383, lr: 0.0000, train/prefecth_time: 0.0066 
[2023-08-13 05:19:51,482 INFO] 90880 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0539, train/total_loss: 0.0539, train/util_ratio: 1.0000, train/run_time: 0.5902, lr: 0.0000, train/prefecth_time: 0.0051 
[2023-08-13 05:22:22,804 INFO] 91136 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0975, train/total_loss: 0.0976, train/util_ratio: 1.0000, train/run_time: 0.5479, lr: 0.0000, train/prefecth_time: 0.0069 
[2023-08-13 05:24:54,606 INFO] 91392 iteration USE_EMA: False, train/sup_loss: 0.0003, train/unsup_loss: 0.0051, train/total_loss: 0.0053, train/util_ratio: 1.0000, train/run_time: 0.5506, lr: 0.0000, train/prefecth_time: 0.0067 
[2023-08-13 05:27:25,231 INFO] 91648 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0001, train/total_loss: 0.0001, train/util_ratio: 1.0000, train/run_time: 0.5455, lr: 0.0000, train/prefecth_time: 0.0066 
[2023-08-13 05:29:55,102 INFO] 91904 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0000, train/total_loss: 0.0001, train/util_ratio: 1.0000, train/run_time: 0.5486, lr: 0.0000, train/prefecth_time: 0.0050 
[2023-08-13 05:32:25,431 INFO] validating...
[2023-08-13 05:32:28,805 INFO] confusion matrix:
[[0.625 0.    0.    ... 0.    0.    0.   ]
 [0.25  0.75  0.    ... 0.    0.    0.   ]
 [0.    0.    0.75  ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.125 0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    1.   ]]
[2023-08-13 05:32:30,918 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-13 05:32:30,920 INFO] 92160 iteration, USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0013, train/total_loss: 0.0013, train/util_ratio: 1.0000, train/run_time: 0.5658, eval/loss: 3.0235, eval/top-1-acc: 0.6325, eval/balanced_acc: 0.6325, eval/precision: 0.6418, eval/recall: 0.6325, eval/F1: 0.6187, lr: 0.0000, train/prefecth_time: 0.0036 BEST_EVAL_ACC: 0.6625, at 38912 iters
[2023-08-13 05:35:00,412 INFO] 92416 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0000, train/total_loss: 0.0001, train/util_ratio: 1.0000, train/run_time: 0.5291, lr: 0.0000, train/prefecth_time: 0.0066 
[2023-08-13 05:37:31,881 INFO] 92672 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0001, train/total_loss: 0.0001, train/util_ratio: 1.0000, train/run_time: 0.5652, lr: 0.0000, train/prefecth_time: 0.0045 
[2023-08-13 05:40:02,500 INFO] 92928 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0006, train/total_loss: 0.0006, train/util_ratio: 1.0000, train/run_time: 0.5502, lr: 0.0000, train/prefecth_time: 0.0046 
[2023-08-13 05:42:33,465 INFO] 93184 iteration USE_EMA: False, train/sup_loss: 0.0012, train/unsup_loss: 0.0000, train/total_loss: 0.0013, train/util_ratio: 1.0000, train/run_time: 0.5320, lr: 0.0000, train/prefecth_time: 0.0046 
[2023-08-13 05:45:04,080 INFO] 93440 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0005, train/total_loss: 0.0005, train/util_ratio: 1.0000, train/run_time: 0.5294, lr: 0.0000, train/prefecth_time: 0.0067 
[2023-08-13 05:47:35,080 INFO] 93696 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0002, train/total_loss: 0.0002, train/util_ratio: 1.0000, train/run_time: 0.5514, lr: 0.0000, train/prefecth_time: 0.0046 
[2023-08-13 05:50:05,765 INFO] 93952 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0429, train/total_loss: 0.0429, train/util_ratio: 1.0000, train/run_time: 0.4908, lr: 0.0000, train/prefecth_time: 0.0067 
[2023-08-13 05:52:36,453 INFO] validating...
[2023-08-13 05:52:40,085 INFO] confusion matrix:
[[0.625 0.    0.    ... 0.    0.    0.   ]
 [0.25  0.75  0.    ... 0.    0.    0.   ]
 [0.    0.    0.875 ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.375 0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    1.   ]]
[2023-08-13 05:52:42,240 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-13 05:52:42,242 INFO] 94208 iteration, USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0003, train/total_loss: 0.0004, train/util_ratio: 1.0000, train/run_time: 0.5403, eval/loss: 3.0952, eval/top-1-acc: 0.6275, eval/balanced_acc: 0.6275, eval/precision: 0.6309, eval/recall: 0.6275, eval/F1: 0.6069, lr: 0.0000, train/prefecth_time: 0.0024 BEST_EVAL_ACC: 0.6625, at 38912 iters
[2023-08-13 05:55:12,326 INFO] 94464 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0000, train/total_loss: 0.0000, train/util_ratio: 1.0000, train/run_time: 0.5099, lr: 0.0000, train/prefecth_time: 0.0046 
[2023-08-13 05:57:43,316 INFO] 94720 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0002, train/total_loss: 0.0002, train/util_ratio: 1.0000, train/run_time: 0.5419, lr: 0.0000, train/prefecth_time: 0.0047 
[2023-08-13 06:00:14,037 INFO] 94976 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0001, train/total_loss: 0.0001, train/util_ratio: 1.0000, train/run_time: 0.5259, lr: 0.0000, train/prefecth_time: 0.0066 
[2023-08-13 06:02:44,448 INFO] 95232 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0341, train/total_loss: 0.0341, train/util_ratio: 1.0000, train/run_time: 0.5527, lr: 0.0000, train/prefecth_time: 0.0070 
[2023-08-13 06:05:14,701 INFO] 95488 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0001, train/total_loss: 0.0002, train/util_ratio: 1.0000, train/run_time: 0.5067, lr: 0.0000, train/prefecth_time: 0.0067 
[2023-08-13 06:07:45,375 INFO] 95744 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0009, train/total_loss: 0.0009, train/util_ratio: 1.0000, train/run_time: 0.5598, lr: 0.0000, train/prefecth_time: 0.0066 
[2023-08-13 06:10:16,131 INFO] 96000 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0000, train/total_loss: 0.0001, train/util_ratio: 1.0000, train/run_time: 0.5649, lr: 0.0000, train/prefecth_time: 0.0049 
[2023-08-13 06:12:46,918 INFO] validating...
[2023-08-13 06:12:50,330 INFO] confusion matrix:
[[0.625 0.    0.    ... 0.    0.    0.   ]
 [0.25  0.75  0.    ... 0.    0.    0.   ]
 [0.    0.    0.75  ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.5   0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    1.   ]]
[2023-08-13 06:12:52,182 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-13 06:12:52,183 INFO] 96256 iteration, USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.4480, train/total_loss: 0.4480, train/util_ratio: 1.0000, train/run_time: 0.5383, eval/loss: 3.0607, eval/top-1-acc: 0.6225, eval/balanced_acc: 0.6225, eval/precision: 0.6466, eval/recall: 0.6225, eval/F1: 0.6116, lr: 0.0000, train/prefecth_time: 0.0070 BEST_EVAL_ACC: 0.6625, at 38912 iters
[2023-08-13 06:15:22,580 INFO] 96512 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0006, train/total_loss: 0.0006, train/util_ratio: 1.0000, train/run_time: 0.5586, lr: 0.0000, train/prefecth_time: 0.0068 
[2023-08-13 06:17:53,882 INFO] 96768 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0517, train/total_loss: 0.0517, train/util_ratio: 1.0000, train/run_time: 0.5399, lr: 0.0000, train/prefecth_time: 0.0046 
[2023-08-13 06:20:24,383 INFO] 97024 iteration USE_EMA: False, train/sup_loss: 0.0001, train/unsup_loss: 0.0037, train/total_loss: 0.0038, train/util_ratio: 1.0000, train/run_time: 0.5557, lr: 0.0000, train/prefecth_time: 0.0046 
[2023-08-13 06:22:55,427 INFO] 97280 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0002, train/total_loss: 0.0002, train/util_ratio: 1.0000, train/run_time: 0.5360, lr: 0.0000, train/prefecth_time: 0.0045 
[2023-08-13 06:25:25,418 INFO] 97536 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0000, train/total_loss: 0.0000, train/util_ratio: 1.0000, train/run_time: 0.5035, lr: 0.0000, train/prefecth_time: 0.0058 
[2023-08-13 06:27:56,584 INFO] 97792 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0572, train/total_loss: 0.0572, train/util_ratio: 1.0000, train/run_time: 0.5132, lr: 0.0000, train/prefecth_time: 0.0046 
[2023-08-13 06:30:27,862 INFO] 98048 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0002, train/total_loss: 0.0002, train/util_ratio: 1.0000, train/run_time: 0.5618, lr: 0.0000, train/prefecth_time: 0.0066 
[2023-08-13 06:32:57,996 INFO] validating...
[2023-08-13 06:33:01,529 INFO] confusion matrix:
[[0.625 0.    0.    ... 0.    0.    0.   ]
 [0.25  0.625 0.    ... 0.    0.    0.   ]
 [0.    0.    0.875 ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.25  0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    1.   ]]
[2023-08-13 06:33:03,657 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-13 06:33:03,659 INFO] 98304 iteration, USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0001, train/total_loss: 0.0001, train/util_ratio: 1.0000, train/run_time: 0.5054, eval/loss: 3.2730, eval/top-1-acc: 0.6225, eval/balanced_acc: 0.6225, eval/precision: 0.6415, eval/recall: 0.6225, eval/F1: 0.6041, lr: 0.0000, train/prefecth_time: 0.0066 BEST_EVAL_ACC: 0.6625, at 38912 iters
[2023-08-13 06:35:32,839 INFO] 98560 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0001, train/total_loss: 0.0001, train/util_ratio: 1.0000, train/run_time: 0.5613, lr: 0.0000, train/prefecth_time: 0.0058 
[2023-08-13 06:38:03,663 INFO] 98816 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0001, train/total_loss: 0.0001, train/util_ratio: 1.0000, train/run_time: 0.5852, lr: 0.0000, train/prefecth_time: 0.0045 
[2023-08-13 06:40:33,887 INFO] 99072 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0022, train/total_loss: 0.0022, train/util_ratio: 1.0000, train/run_time: 0.5588, lr: 0.0000, train/prefecth_time: 0.0056 
[2023-08-13 06:43:05,521 INFO] 99328 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0007, train/total_loss: 0.0007, train/util_ratio: 1.0000, train/run_time: 0.5216, lr: 0.0000, train/prefecth_time: 0.0068 
[2023-08-13 06:45:36,496 INFO] 99584 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0001, train/total_loss: 0.0001, train/util_ratio: 1.0000, train/run_time: 0.5021, lr: 0.0000, train/prefecth_time: 0.0092 
[2023-08-13 06:48:05,939 INFO] 99840 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.1267, train/total_loss: 0.1267, train/util_ratio: 1.0000, train/run_time: 0.5221, lr: 0.0000, train/prefecth_time: 0.0046 
[2023-08-13 06:50:37,422 INFO] 100096 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.1936, train/total_loss: 0.1936, train/util_ratio: 1.0000, train/run_time: 0.5475, lr: 0.0000, train/prefecth_time: 0.0052 
[2023-08-13 06:53:07,441 INFO] validating...
[2023-08-13 06:53:10,697 INFO] confusion matrix:
[[0.625 0.    0.    ... 0.    0.    0.   ]
 [0.375 0.625 0.    ... 0.    0.    0.   ]
 [0.    0.    0.875 ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.25  0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    1.   ]]
[2023-08-13 06:53:12,799 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-13 06:53:12,800 INFO] 100352 iteration, USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0009, train/total_loss: 0.0009, train/util_ratio: 1.0000, train/run_time: 0.5674, eval/loss: 3.2017, eval/top-1-acc: 0.6250, eval/balanced_acc: 0.6250, eval/precision: 0.6466, eval/recall: 0.6250, eval/F1: 0.6099, lr: 0.0000, train/prefecth_time: 0.0045 BEST_EVAL_ACC: 0.6625, at 38912 iters
[2023-08-13 06:55:42,774 INFO] 100608 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0000, train/total_loss: 0.0001, train/util_ratio: 1.0000, train/run_time: 0.5249, lr: 0.0000, train/prefecth_time: 0.0046 
[2023-08-13 06:58:13,564 INFO] 100864 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0183, train/total_loss: 0.0183, train/util_ratio: 1.0000, train/run_time: 0.5545, lr: 0.0000, train/prefecth_time: 0.0053 
[2023-08-13 07:00:43,596 INFO] 101120 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0006, train/total_loss: 0.0006, train/util_ratio: 1.0000, train/run_time: 0.4973, lr: 0.0000, train/prefecth_time: 0.0047 
[2023-08-13 07:03:14,222 INFO] 101376 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0000, train/total_loss: 0.0000, train/util_ratio: 1.0000, train/run_time: 0.5876, lr: 0.0000, train/prefecth_time: 0.0066 
[2023-08-13 07:05:45,487 INFO] 101632 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0000, train/total_loss: 0.0000, train/util_ratio: 1.0000, train/run_time: 0.5759, lr: 0.0000, train/prefecth_time: 0.0045 
[2023-08-13 07:08:15,176 INFO] 101888 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0004, train/total_loss: 0.0005, train/util_ratio: 1.0000, train/run_time: 0.5723, lr: 0.0000, train/prefecth_time: 0.0043 
[2023-08-13 07:10:45,175 INFO] 102144 iteration USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.0000, train/total_loss: 0.0000, train/util_ratio: 1.0000, train/run_time: 0.5451, lr: 0.0000, train/prefecth_time: 0.0046 
[2023-08-13 07:13:15,817 INFO] validating...
[2023-08-13 07:13:19,183 INFO] confusion matrix:
[[0.625 0.    0.    ... 0.    0.    0.   ]
 [0.375 0.625 0.    ... 0.    0.    0.   ]
 [0.    0.    1.    ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.25  0.    0.   ]
 [0.    0.    0.    ... 0.    0.75  0.   ]
 [0.    0.    0.    ... 0.    0.    1.   ]]
[2023-08-13 07:13:21,091 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-13 07:13:21,092 INFO] 102400 iteration, USE_EMA: False, train/sup_loss: 0.0000, train/unsup_loss: 0.2926, train/total_loss: 0.2926, train/util_ratio: 1.0000, train/run_time: 0.5649, eval/loss: 3.1311, eval/top-1-acc: 0.6325, eval/balanced_acc: 0.6325, eval/precision: 0.6706, eval/recall: 0.6325, eval/F1: 0.6222, lr: 0.0000, train/prefecth_time: 0.0065 BEST_EVAL_ACC: 0.6625, at 38912 iters
[2023-08-13 07:13:23,697 INFO] model saved: /liuzicheng/jwy/saved_models/usb_audio/flexmatch_esc50_250_0/latest_model.pth
[2023-08-13 07:13:37,826 INFO] Model loaded
[2023-08-13 07:13:37,880 INFO] additional parameter loaded
[2023-08-13 07:13:41,247 INFO] confusion matrix:
[[0.875 0.    0.    ... 0.    0.    0.   ]
 [0.    0.75  0.    ... 0.    0.    0.   ]
 [0.    0.    0.5   ... 0.    0.    0.   ]
 ...
 [0.    0.    0.    ... 0.375 0.    0.   ]
 [0.    0.    0.    ... 0.    0.125 0.   ]
 [0.    0.    0.    ... 0.    0.    1.   ]]
[2023-08-13 07:13:41,255 INFO] Model result - eval/best_acc : 0.6625
[2023-08-13 07:13:41,255 INFO] Model result - eval/best_it : 38911

