2025-04-28 04:57:24,030-The parameters are as below:
2025-04-28 04:57:24,030-model_name: fcrllm_sasrec
2025-04-28 04:57:24,030-dataset: fashion
2025-04-28 04:57:24,030-inter_file: inter
2025-04-28 04:57:24,030-demo: False
2025-04-28 04:57:24,030-pretrain_dir: ./saved/fashion/sasrec_seq
2025-04-28 04:57:24,030-output_dir: ./saved/fashion/fcrllm_sasrec/
2025-04-28 04:57:24,030-check_path: 
2025-04-28 04:57:24,030-do_test: False
2025-04-28 04:57:24,030-do_emb: False
2025-04-28 04:57:24,030-do_group: False
2025-04-28 04:57:24,030-keepon: False
2025-04-28 04:57:24,030-keepon_path: ./saved/fashion/fcrllm_sasrec/normal
2025-04-28 04:57:24,030-clip_path: 
2025-04-28 04:57:24,030-ts_user: 3
2025-04-28 04:57:24,030-ts_item: 4
2025-04-28 04:57:24,030-hidden_size: 64
2025-04-28 04:57:24,030-trm_num: 2
2025-04-28 04:57:24,030-num_heads: 1
2025-04-28 04:57:24,030-num_layers: 1
2025-04-28 04:57:24,030-cl_scale: 0.1
2025-04-28 04:57:24,030-mask_crop_ratio: 0.3
2025-04-28 04:57:24,030-tau: 1
2025-04-28 04:57:24,030-sse_ratio: 0.4
2025-04-28 04:57:24,030-dropout_rate: 0.5
2025-04-28 04:57:24,030-max_len: 200
2025-04-28 04:57:24,030-mask_prob: 0.4
2025-04-28 04:57:24,030-aug: False
2025-04-28 04:57:24,030-aug_seq: False
2025-04-28 04:57:24,030-aug_seq_len: 0
2025-04-28 04:57:24,030-aug_file: inter
2025-04-28 04:57:24,030-train_neg: 1
2025-04-28 04:57:24,030-test_neg: 100
2025-04-28 04:57:24,031-suffix_num: 5
2025-04-28 04:57:24,031-prompt_num: 2
2025-04-28 04:57:24,031-freeze: True
2025-04-28 04:57:24,031-pg: length
2025-04-28 04:57:24,031-num_hopblock: 1
2025-04-28 04:57:24,031-gamma_fc: 0.5
2025-04-28 04:57:24,031-item_reg: False
2025-04-28 04:57:24,031-beta: 0.1
2025-04-28 04:57:24,031-sim_user_num: 10
2025-04-28 04:57:24,031-split_backbone: False
2025-04-28 04:57:24,031-co_view: False
2025-04-28 04:57:24,031-se_view: False
2025-04-28 04:57:24,031-beta_hopfield: 0.7
2025-04-28 04:57:24,031-alpha_hopfield: 0.7
2025-04-28 04:57:24,031-gamma_update: 0.3
2025-04-28 04:57:24,031-hyb_alpha: 0.5
2025-04-28 04:57:24,031-train_batch_size: 128
2025-04-28 04:57:24,031-lr: 0.001
2025-04-28 04:57:24,031-l2: 0
2025-04-28 04:57:24,031-num_train_epochs: 200.0
2025-04-28 04:57:24,031-lr_dc_step: 1000
2025-04-28 04:57:24,031-lr_dc: 0
2025-04-28 04:57:24,031-patience: 20
2025-04-28 04:57:24,031-watch_metric: NDCG@10
2025-04-28 04:57:24,031-seed: 42
2025-04-28 04:57:24,031-no_cuda: False
2025-04-28 04:57:24,031-gpu_id: 0
2025-04-28 04:57:24,031-num_workers: 8
2025-04-28 04:57:24,031-log: True
2025-04-28 04:57:24,154-Loading dataset ... 
2025-04-28 04:57:24,204-Dataset is loaded: consume 0.050 s
2025-04-28 04:57:24,204-Loading Model: fcrllm_sasrec
2025-04-28 04:57:26,408-
----------------------------------------------------------------
2025-04-28 04:57:26,409-********** Running training **********
2025-04-28 04:57:26,409-  Batch size = 128
2025-04-28 04:57:54,219-
----------------------------------
2025-04-28 04:57:54,219-********** Epoch: 0 eval **********
2025-04-28 04:57:55,918-
2025-04-28 04:57:56,011-Overall Performance:
2025-04-28 04:57:56,011-	 NDCG@10: 0.50988
2025-04-28 04:57:56,011-	 HR@10: 0.62063
2025-04-28 04:58:20,935-
----------------------------------
2025-04-28 04:58:20,935-********** Epoch: 1 eval **********
2025-04-28 04:58:22,800-
2025-04-28 04:58:22,896-Overall Performance:
2025-04-28 04:58:22,897-	 NDCG@10: 0.53661
2025-04-28 04:58:22,897-	 HR@10: 0.64372
2025-04-28 04:58:47,841-
----------------------------------
2025-04-28 04:58:47,842-********** Epoch: 2 eval **********
2025-04-28 04:58:49,978-
2025-04-28 04:58:50,074-Overall Performance:
2025-04-28 04:58:50,075-	 NDCG@10: 0.54155
2025-04-28 04:58:50,075-	 HR@10: 0.64900
2025-04-28 04:59:15,092-
----------------------------------
2025-04-28 04:59:15,093-********** Epoch: 3 eval **********
2025-04-28 04:59:17,091-
2025-04-28 04:59:17,188-Overall Performance:
2025-04-28 04:59:17,188-	 NDCG@10: 0.54947
2025-04-28 04:59:17,189-	 HR@10: 0.64812
2025-04-28 04:59:42,408-
----------------------------------
2025-04-28 04:59:42,408-********** Epoch: 4 eval **********
2025-04-28 04:59:44,225-
2025-04-28 04:59:44,321-Overall Performance:
2025-04-28 04:59:44,321-	 NDCG@10: 0.54859
2025-04-28 04:59:44,322-	 HR@10: 0.64427
2025-04-28 05:00:08,907-
----------------------------------
2025-04-28 05:00:08,908-********** Epoch: 5 eval **********
2025-04-28 05:00:10,685-
2025-04-28 05:00:10,783-Overall Performance:
2025-04-28 05:00:10,783-	 NDCG@10: 0.55279
2025-04-28 05:00:10,784-	 HR@10: 0.65285
2025-04-28 05:00:35,952-
----------------------------------
2025-04-28 05:00:35,953-********** Epoch: 6 eval **********
2025-04-28 05:00:37,822-
2025-04-28 05:00:37,919-Overall Performance:
2025-04-28 05:00:37,919-	 NDCG@10: 0.55799
2025-04-28 05:00:37,920-	 HR@10: 0.65098
2025-04-28 05:01:02,904-
----------------------------------
2025-04-28 05:01:02,905-********** Epoch: 7 eval **********
2025-04-28 05:01:04,971-
2025-04-28 05:01:05,068-Overall Performance:
2025-04-28 05:01:05,068-	 NDCG@10: 0.56394
2025-04-28 05:01:05,069-	 HR@10: 0.65494
2025-04-28 05:01:30,174-
----------------------------------
2025-04-28 05:01:30,174-********** Epoch: 8 eval **********
2025-04-28 05:01:32,062-
2025-04-28 05:01:32,158-Overall Performance:
2025-04-28 05:01:32,159-	 NDCG@10: 0.55393
2025-04-28 05:01:32,159-	 HR@10: 0.65373
2025-04-28 05:01:56,638-
----------------------------------
2025-04-28 05:01:56,638-********** Epoch: 9 eval **********
2025-04-28 05:01:58,522-
2025-04-28 05:01:58,618-Overall Performance:
2025-04-28 05:01:58,618-	 NDCG@10: 0.55175
2025-04-28 05:01:58,619-	 HR@10: 0.64119
2025-04-28 05:02:23,666-
----------------------------------
2025-04-28 05:02:23,666-********** Epoch: 10 eval **********
2025-04-28 05:02:25,610-
2025-04-28 05:02:25,705-Overall Performance:
2025-04-28 05:02:25,706-	 NDCG@10: 0.56048
2025-04-28 05:02:25,706-	 HR@10: 0.64680
2025-04-28 05:02:50,817-
----------------------------------
2025-04-28 05:02:50,817-********** Epoch: 11 eval **********
2025-04-28 05:02:52,845-
2025-04-28 05:02:52,941-Overall Performance:
2025-04-28 05:02:52,942-	 NDCG@10: 0.55982
2025-04-28 05:02:52,942-	 HR@10: 0.64746
2025-04-28 05:03:17,548-
----------------------------------
2025-04-28 05:03:17,549-********** Epoch: 12 eval **********
2025-04-28 05:03:19,285-
2025-04-28 05:03:19,381-Overall Performance:
2025-04-28 05:03:19,381-	 NDCG@10: 0.56253
2025-04-28 05:03:19,382-	 HR@10: 0.64768
2025-04-28 05:03:44,392-
----------------------------------
2025-04-28 05:03:44,393-********** Epoch: 13 eval **********
2025-04-28 05:03:46,446-
2025-04-28 05:03:46,541-Overall Performance:
2025-04-28 05:03:46,542-	 NDCG@10: 0.55822
2025-04-28 05:03:46,542-	 HR@10: 0.64702
2025-04-28 05:04:11,749-
----------------------------------
2025-04-28 05:04:11,749-********** Epoch: 14 eval **********
2025-04-28 05:04:13,578-
2025-04-28 05:04:13,674-Overall Performance:
2025-04-28 05:04:13,675-	 NDCG@10: 0.55561
2025-04-28 05:04:13,675-	 HR@10: 0.64086
2025-04-28 05:04:38,097-
----------------------------------
2025-04-28 05:04:38,097-********** Epoch: 15 eval **********
2025-04-28 05:04:39,979-
2025-04-28 05:04:40,075-Overall Performance:
2025-04-28 05:04:40,075-	 NDCG@10: 0.56366
2025-04-28 05:04:40,075-	 HR@10: 0.65263
2025-04-28 05:05:05,135-
----------------------------------
2025-04-28 05:05:05,135-********** Epoch: 16 eval **********
2025-04-28 05:05:07,068-
2025-04-28 05:05:07,163-Overall Performance:
2025-04-28 05:05:07,164-	 NDCG@10: 0.55778
2025-04-28 05:05:07,164-	 HR@10: 0.64306
2025-04-28 05:05:31,713-
----------------------------------
2025-04-28 05:05:31,714-********** Epoch: 17 eval **********
2025-04-28 05:05:33,543-
2025-04-28 05:05:33,637-Overall Performance:
2025-04-28 05:05:33,638-	 NDCG@10: 0.55794
2025-04-28 05:05:33,638-	 HR@10: 0.64152
2025-04-28 05:05:58,568-
----------------------------------
2025-04-28 05:05:58,569-********** Epoch: 18 eval **********
2025-04-28 05:06:00,635-
2025-04-28 05:06:00,730-Overall Performance:
2025-04-28 05:06:00,731-	 NDCG@10: 0.55867
2025-04-28 05:06:00,731-	 HR@10: 0.64339
2025-04-28 05:06:25,747-
----------------------------------
2025-04-28 05:06:25,747-********** Epoch: 19 eval **********
2025-04-28 05:06:27,273-
2025-04-28 05:06:27,368-Overall Performance:
2025-04-28 05:06:27,369-	 NDCG@10: 0.55916
2025-04-28 05:06:27,369-	 HR@10: 0.64427
2025-04-28 05:06:52,430-
----------------------------------
2025-04-28 05:06:52,430-********** Epoch: 20 eval **********
2025-04-28 05:06:54,209-
2025-04-28 05:06:54,305-Overall Performance:
2025-04-28 05:06:54,306-	 NDCG@10: 0.55715
2025-04-28 05:06:54,307-	 HR@10: 0.64196
2025-04-28 05:07:19,387-
----------------------------------
2025-04-28 05:07:19,387-********** Epoch: 21 eval **********
2025-04-28 05:07:21,120-
2025-04-28 05:07:21,216-Overall Performance:
2025-04-28 05:07:21,216-	 NDCG@10: 0.55967
2025-04-28 05:07:21,217-	 HR@10: 0.64449
2025-04-28 05:07:46,430-
----------------------------------
2025-04-28 05:07:46,430-********** Epoch: 22 eval **********
2025-04-28 05:07:48,547-
2025-04-28 05:07:48,643-Overall Performance:
2025-04-28 05:07:48,643-	 NDCG@10: 0.55939
2025-04-28 05:07:48,644-	 HR@10: 0.64350
2025-04-28 05:08:13,038-
----------------------------------
2025-04-28 05:08:13,039-********** Epoch: 23 eval **********
2025-04-28 05:08:14,989-
2025-04-28 05:08:15,085-Overall Performance:
2025-04-28 05:08:15,086-	 NDCG@10: 0.56077
2025-04-28 05:08:15,086-	 HR@10: 0.64328
2025-04-28 05:08:39,497-
----------------------------------
2025-04-28 05:08:39,497-********** Epoch: 24 eval **********
2025-04-28 05:08:41,410-
2025-04-28 05:08:41,506-Overall Performance:
2025-04-28 05:08:41,507-	 NDCG@10: 0.55686
2025-04-28 05:08:41,507-	 HR@10: 0.63855
2025-04-28 05:09:06,627-
----------------------------------
2025-04-28 05:09:06,628-********** Epoch: 25 eval **********
2025-04-28 05:09:08,550-
2025-04-28 05:09:08,645-Overall Performance:
2025-04-28 05:09:08,646-	 NDCG@10: 0.56194
2025-04-28 05:09:08,646-	 HR@10: 0.64647
2025-04-28 05:09:33,624-
----------------------------------
2025-04-28 05:09:33,624-********** Epoch: 26 eval **********
2025-04-28 05:09:35,669-
2025-04-28 05:09:35,764-Overall Performance:
2025-04-28 05:09:35,765-	 NDCG@10: 0.55133
2025-04-28 05:09:35,765-	 HR@10: 0.63130
2025-04-28 05:10:00,192-
----------------------------------
2025-04-28 05:10:00,193-********** Epoch: 27 eval **********
2025-04-28 05:10:02,078-
2025-04-28 05:10:02,174-Overall Performance:
2025-04-28 05:10:02,174-	 NDCG@10: 0.55881
2025-04-28 05:10:02,174-	 HR@10: 0.64086
2025-04-28 05:10:02,175-
2025-04-28 05:10:02,175-The best epoch is 7
2025-04-28 05:10:02,175-The best results are NDCG@10: 0.56394, HR@10: 0.65494
2025-04-28 05:10:02,175-
----------------------------------------------------------------
2025-04-28 05:10:02,175-********** Running test **********
2025-04-28 05:10:04,245-
2025-04-28 05:10:04,335-Overall Performance:
2025-04-28 05:10:04,335-	 NDCG@10: 0.48808
2025-04-28 05:10:04,335-	 HR@10: 0.58137
2025-04-28 05:10:04,335-User Group Performance:
2025-04-28 05:10:04,335-	 Short NDCG@10: 0.39201
2025-04-28 05:10:04,335-	 Short HR@10: 0.50438
2025-04-28 05:10:04,335-	 Long NDCG@10: 0.61268
2025-04-28 05:10:04,335-	 Long HR@10: 0.68123
2025-04-28 05:10:04,336-Item Group Performance:
2025-04-28 05:10:04,336-	 Tail NDCG@10: 0.06494
2025-04-28 05:10:04,336-	 Tail HR@10: 0.13122
2025-04-28 05:10:04,336-	 Popular NDCG@10: 0.65651
2025-04-28 05:10:04,336-	 Popular HR@10: 0.76057
