2025-04-30 09:12:33,208-The parameters are as below:
2025-04-30 09:12:33,208-model_name: fcrllm_gru4rec
2025-04-30 09:12:33,208-dataset: yelp
2025-04-30 09:12:33,208-inter_file: inter
2025-04-30 09:12:33,208-demo: False
2025-04-30 09:12:33,208-pretrain_dir: ./saved/yelp/sasrec_seq
2025-04-30 09:12:33,208-output_dir: ./saved/yelp/fcrllm_gru4rec/
2025-04-30 09:12:33,208-check_path: 
2025-04-30 09:12:33,208-do_test: False
2025-04-30 09:12:33,208-do_emb: False
2025-04-30 09:12:33,208-do_group: False
2025-04-30 09:12:33,208-keepon: False
2025-04-30 09:12:33,208-keepon_path: ./saved/yelp/fcrllm_gru4rec/normal
2025-04-30 09:12:33,208-clip_path: 
2025-04-30 09:12:33,208-ts_user: 12
2025-04-30 09:12:33,208-ts_item: 13
2025-04-30 09:12:33,208-hidden_size: 64
2025-04-30 09:12:33,208-trm_num: 2
2025-04-30 09:12:33,208-num_heads: 1
2025-04-30 09:12:33,208-num_layers: 1
2025-04-30 09:12:33,208-cl_scale: 0.1
2025-04-30 09:12:33,209-mask_crop_ratio: 0.3
2025-04-30 09:12:33,209-tau: 1
2025-04-30 09:12:33,209-sse_ratio: 0.4
2025-04-30 09:12:33,209-dropout_rate: 0.5
2025-04-30 09:12:33,209-max_len: 200
2025-04-30 09:12:33,209-mask_prob: 0.4
2025-04-30 09:12:33,209-aug: False
2025-04-30 09:12:33,209-aug_seq: False
2025-04-30 09:12:33,209-aug_seq_len: 0
2025-04-30 09:12:33,209-aug_file: inter
2025-04-30 09:12:33,209-train_neg: 1
2025-04-30 09:12:33,209-test_neg: 100
2025-04-30 09:12:33,209-suffix_num: 5
2025-04-30 09:12:33,209-prompt_num: 2
2025-04-30 09:12:33,209-freeze: True
2025-04-30 09:12:33,209-pg: length
2025-04-30 09:12:33,209-num_hopblock: 1
2025-04-30 09:12:33,209-gamma_fc: 1.0
2025-04-30 09:12:33,209-item_reg: False
2025-04-30 09:12:33,209-beta: 0.1
2025-04-30 09:12:33,209-sim_user_num: 10
2025-04-30 09:12:33,209-split_backbone: False
2025-04-30 09:12:33,209-co_view: False
2025-04-30 09:12:33,209-se_view: False
2025-04-30 09:12:33,209-beta_hopfield: 0.5
2025-04-30 09:12:33,209-alpha_hopfield: 0.3
2025-04-30 09:12:33,209-gamma_update: 0.3
2025-04-30 09:12:33,209-hyb_alpha: 0.5
2025-04-30 09:12:33,209-train_batch_size: 128
2025-04-30 09:12:33,209-lr: 0.001
2025-04-30 09:12:33,209-l2: 0
2025-04-30 09:12:33,209-num_train_epochs: 200.0
2025-04-30 09:12:33,209-lr_dc_step: 1000
2025-04-30 09:12:33,209-lr_dc: 0
2025-04-30 09:12:33,209-patience: 10
2025-04-30 09:12:33,209-watch_metric: NDCG@10
2025-04-30 09:12:33,209-seed: 42
2025-04-30 09:12:33,209-no_cuda: False
2025-04-30 09:12:33,209-gpu_id: 0
2025-04-30 09:12:33,210-num_workers: 8
2025-04-30 09:12:33,210-log: True
2025-04-30 09:12:33,244-Loading dataset ... 
2025-04-30 09:12:33,457-Dataset is loaded: consume 0.214 s
2025-04-30 09:12:33,458-Loading Model: fcrllm_gru4rec
2025-04-30 09:12:35,203-
----------------------------------------------------------------
2025-04-30 09:12:35,203-********** Running training **********
2025-04-30 09:12:35,203-  Batch size = 128
2025-04-30 09:13:01,781-
----------------------------------
2025-04-30 09:13:01,781-********** Epoch: 0 eval **********
2025-04-30 09:13:03,664-
2025-04-30 09:13:03,805-Overall Performance:
2025-04-30 09:13:03,806-	 NDCG@10: 0.25748
2025-04-30 09:13:03,806-	 HR@10: 0.48015
2025-04-30 09:13:29,557-
----------------------------------
2025-04-30 09:13:29,557-********** Epoch: 1 eval **********
2025-04-30 09:13:31,378-
2025-04-30 09:13:31,530-Overall Performance:
2025-04-30 09:13:31,530-	 NDCG@10: 0.31681
2025-04-30 09:13:31,530-	 HR@10: 0.54879
2025-04-30 09:13:57,142-
----------------------------------
2025-04-30 09:13:57,142-********** Epoch: 2 eval **********
2025-04-30 09:13:58,966-
2025-04-30 09:13:59,121-Overall Performance:
2025-04-30 09:13:59,121-	 NDCG@10: 0.33382
2025-04-30 09:13:59,122-	 HR@10: 0.57672
2025-04-30 09:14:24,782-
----------------------------------
2025-04-30 09:14:24,782-********** Epoch: 3 eval **********
2025-04-30 09:14:26,585-
2025-04-30 09:14:26,741-Overall Performance:
2025-04-30 09:14:26,742-	 NDCG@10: 0.34191
2025-04-30 09:14:26,742-	 HR@10: 0.58416
2025-04-30 09:14:52,298-
----------------------------------
2025-04-30 09:14:52,299-********** Epoch: 4 eval **********
2025-04-30 09:14:53,916-
2025-04-30 09:14:54,073-Overall Performance:
2025-04-30 09:14:54,073-	 NDCG@10: 0.33918
2025-04-30 09:14:54,074-	 HR@10: 0.58556
2025-04-30 09:15:19,398-
----------------------------------
2025-04-30 09:15:19,398-********** Epoch: 5 eval **********
2025-04-30 09:15:21,270-
2025-04-30 09:15:21,427-Overall Performance:
2025-04-30 09:15:21,427-	 NDCG@10: 0.35134
2025-04-30 09:15:21,427-	 HR@10: 0.59472
2025-04-30 09:15:47,071-
----------------------------------
2025-04-30 09:15:47,071-********** Epoch: 6 eval **********
2025-04-30 09:15:48,821-
2025-04-30 09:15:48,978-Overall Performance:
2025-04-30 09:15:48,979-	 NDCG@10: 0.35646
2025-04-30 09:15:48,979-	 HR@10: 0.59822
2025-04-30 09:16:14,705-
----------------------------------
2025-04-30 09:16:14,706-********** Epoch: 7 eval **********
2025-04-30 09:16:16,376-
2025-04-30 09:16:16,534-Overall Performance:
2025-04-30 09:16:16,534-	 NDCG@10: 0.35900
2025-04-30 09:16:16,535-	 HR@10: 0.59491
2025-04-30 09:16:42,219-
----------------------------------
2025-04-30 09:16:42,219-********** Epoch: 8 eval **********
2025-04-30 09:16:44,071-
2025-04-30 09:16:44,227-Overall Performance:
2025-04-30 09:16:44,228-	 NDCG@10: 0.35822
2025-04-30 09:16:44,228-	 HR@10: 0.59097
2025-04-30 09:17:09,536-
----------------------------------
2025-04-30 09:17:09,537-********** Epoch: 9 eval **********
2025-04-30 09:17:11,370-
2025-04-30 09:17:11,527-Overall Performance:
2025-04-30 09:17:11,527-	 NDCG@10: 0.36050
2025-04-30 09:17:11,528-	 HR@10: 0.59796
2025-04-30 09:17:37,225-
----------------------------------
2025-04-30 09:17:37,226-********** Epoch: 10 eval **********
2025-04-30 09:17:39,084-
2025-04-30 09:17:39,242-Overall Performance:
2025-04-30 09:17:39,242-	 NDCG@10: 0.36273
2025-04-30 09:17:39,243-	 HR@10: 0.60242
2025-04-30 09:18:04,904-
----------------------------------
2025-04-30 09:18:04,904-********** Epoch: 11 eval **********
2025-04-30 09:18:06,609-
2025-04-30 09:18:06,765-Overall Performance:
2025-04-30 09:18:06,766-	 NDCG@10: 0.35766
2025-04-30 09:18:06,766-	 HR@10: 0.58906
2025-04-30 09:18:32,281-
----------------------------------
2025-04-30 09:18:32,282-********** Epoch: 12 eval **********
2025-04-30 09:18:33,905-
2025-04-30 09:18:34,059-Overall Performance:
2025-04-30 09:18:34,060-	 NDCG@10: 0.35393
2025-04-30 09:18:34,060-	 HR@10: 0.58531
2025-04-30 09:18:59,376-
----------------------------------
2025-04-30 09:18:59,376-********** Epoch: 13 eval **********
2025-04-30 09:19:01,185-
2025-04-30 09:19:01,341-Overall Performance:
2025-04-30 09:19:01,341-	 NDCG@10: 0.36386
2025-04-30 09:19:01,342-	 HR@10: 0.59618
2025-04-30 09:19:26,904-
----------------------------------
2025-04-30 09:19:26,904-********** Epoch: 14 eval **********
2025-04-30 09:19:28,690-
2025-04-30 09:19:28,847-Overall Performance:
2025-04-30 09:19:28,847-	 NDCG@10: 0.36304
2025-04-30 09:19:28,848-	 HR@10: 0.59796
2025-04-30 09:19:54,173-
----------------------------------
2025-04-30 09:19:54,173-********** Epoch: 15 eval **********
2025-04-30 09:19:55,839-
2025-04-30 09:19:55,995-Overall Performance:
2025-04-30 09:19:55,996-	 NDCG@10: 0.36052
2025-04-30 09:19:55,996-	 HR@10: 0.59567
2025-04-30 09:20:21,349-
----------------------------------
2025-04-30 09:20:21,350-********** Epoch: 16 eval **********
2025-04-30 09:20:23,218-
2025-04-30 09:20:23,374-Overall Performance:
2025-04-30 09:20:23,374-	 NDCG@10: 0.35694
2025-04-30 09:20:23,374-	 HR@10: 0.58740
2025-04-30 09:20:48,850-
----------------------------------
2025-04-30 09:20:48,850-********** Epoch: 17 eval **********
2025-04-30 09:20:50,666-
2025-04-30 09:20:50,824-Overall Performance:
2025-04-30 09:20:50,824-	 NDCG@10: 0.36652
2025-04-30 09:20:50,825-	 HR@10: 0.60108
2025-04-30 09:21:16,680-
----------------------------------
2025-04-30 09:21:16,680-********** Epoch: 18 eval **********
2025-04-30 09:21:18,563-
2025-04-30 09:21:18,720-Overall Performance:
2025-04-30 09:21:18,720-	 NDCG@10: 0.36296
2025-04-30 09:21:18,721-	 HR@10: 0.59714
2025-04-30 09:21:49,853-
----------------------------------
2025-04-30 09:21:49,853-********** Epoch: 19 eval **********
2025-04-30 09:21:52,126-
2025-04-30 09:21:52,286-Overall Performance:
2025-04-30 09:21:52,287-	 NDCG@10: 0.36419
2025-04-30 09:21:52,287-	 HR@10: 0.59688
2025-04-30 09:23:57,556-
----------------------------------
2025-04-30 09:23:57,557-********** Epoch: 20 eval **********
2025-04-30 09:23:59,902-
2025-04-30 09:24:00,057-Overall Performance:
2025-04-30 09:24:00,058-	 NDCG@10: 0.35814
2025-04-30 09:24:00,058-	 HR@10: 0.58696
2025-04-30 09:26:04,595-
----------------------------------
2025-04-30 09:26:04,596-********** Epoch: 21 eval **********
2025-04-30 09:26:06,849-
2025-04-30 09:26:07,008-Overall Performance:
2025-04-30 09:26:07,009-	 NDCG@10: 0.36229
2025-04-30 09:26:07,009-	 HR@10: 0.59141
2025-04-30 09:28:10,581-
----------------------------------
2025-04-30 09:28:10,582-********** Epoch: 22 eval **********
2025-04-30 09:28:13,103-
2025-04-30 09:28:13,259-Overall Performance:
2025-04-30 09:28:13,260-	 NDCG@10: 0.36416
2025-04-30 09:28:13,260-	 HR@10: 0.59466
2025-04-30 09:29:56,522-
----------------------------------
2025-04-30 09:29:56,523-********** Epoch: 23 eval **********
2025-04-30 09:29:58,822-
2025-04-30 09:29:58,982-Overall Performance:
2025-04-30 09:29:58,982-	 NDCG@10: 0.36047
2025-04-30 09:29:58,983-	 HR@10: 0.59179
2025-04-30 09:32:03,448-
----------------------------------
2025-04-30 09:32:03,449-********** Epoch: 24 eval **********
2025-04-30 09:32:05,738-
2025-04-30 09:32:05,893-Overall Performance:
2025-04-30 09:32:05,894-	 NDCG@10: 0.35772
2025-04-30 09:32:05,894-	 HR@10: 0.58728
2025-04-30 09:34:10,762-
----------------------------------
2025-04-30 09:34:10,762-********** Epoch: 25 eval **********
2025-04-30 09:34:13,114-
2025-04-30 09:34:13,269-Overall Performance:
2025-04-30 09:34:13,269-	 NDCG@10: 0.35980
2025-04-30 09:34:13,270-	 HR@10: 0.58779
2025-04-30 09:36:17,938-
----------------------------------
2025-04-30 09:36:17,938-********** Epoch: 26 eval **********
2025-04-30 09:36:20,258-
2025-04-30 09:36:20,414-Overall Performance:
2025-04-30 09:36:20,414-	 NDCG@10: 0.35994
2025-04-30 09:36:20,414-	 HR@10: 0.58849
2025-04-30 09:38:04,340-
----------------------------------
2025-04-30 09:38:04,340-********** Epoch: 27 eval **********
2025-04-30 09:38:06,692-
2025-04-30 09:38:06,856-Overall Performance:
2025-04-30 09:38:06,856-	 NDCG@10: 0.35850
2025-04-30 09:38:06,857-	 HR@10: 0.59116
2025-04-30 09:38:06,858-
2025-04-30 09:38:06,858-The best epoch is 17
2025-04-30 09:38:06,858-The best results are NDCG@10: 0.36652, HR@10: 0.60108
2025-04-30 09:38:06,858-
----------------------------------------------------------------
2025-04-30 09:38:06,858-********** Running test **********
2025-04-30 09:38:09,577-
2025-04-30 09:38:09,734-Overall Performance:
2025-04-30 09:38:09,734-	 NDCG@10: 0.36218
2025-04-30 09:38:09,734-	 HR@10: 0.59548
2025-04-30 09:38:09,734-User Group Performance:
2025-04-30 09:38:09,734-	 Short NDCG@10: 0.36345
2025-04-30 09:38:09,734-	 Short HR@10: 0.59674
2025-04-30 09:38:09,734-	 Long NDCG@10: 0.35731
2025-04-30 09:38:09,734-	 Long HR@10: 0.59067
2025-04-30 09:38:09,734-Item Group Performance:
2025-04-30 09:38:09,734-	 Tail NDCG@10: 0.03872
2025-04-30 09:38:09,734-	 Tail HR@10: 0.09424
2025-04-30 09:38:09,734-	 Popular NDCG@10: 0.45740
2025-04-30 09:38:09,734-	 Popular HR@10: 0.74300
