-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathTA_ensemble.out
891 lines (819 loc) · 65 KB
/
TA_ensemble.out
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
An import exception occurred
loaded dataset: ogbn-products
Loading pretrained LM features (title and abstract) ...
LM_emb_path: prt_lm/ogbn-products/Alibaba-NLP/gte-Qwen1.5-7B-instruct-seed42-dim4096.emb
Embeddings shape: torch.Size([54025, 4096])
Model RevGAT is not supported! Loading MLP ...
Loading model RevGAT...
Number of parameters: 564271
Start running train at 05-14 03:24:34
Epoch: 0, Time: 0.7092, Loss: 3.9645, TrainAcc: 0.0084, ValAcc: 0.2761, ES: 00/50 | BestVal=0.2761@E0
Epoch: 10, Time: 0.0511, Loss: 0.9047, TrainAcc: 0.7410, ValAcc: 0.7595, ES: 01/50 | BestVal=0.7691@E9
Epoch: 20, Time: 0.0615, Loss: 0.7960, TrainAcc: 0.7606, ValAcc: 0.7888, ES: 00/50 | BestVal=0.7888@E20
Epoch: 30, Time: 0.0527, Loss: 0.7454, TrainAcc: 0.7709, ValAcc: 0.7888, ES: 09/50 | BestVal=0.7945@E21
Epoch: 40, Time: 0.0529, Loss: 0.7135, TrainAcc: 0.7759, ValAcc: 0.7958, ES: 00/50 | BestVal=0.7958@E40
Epoch: 50, Time: 0.0522, Loss: 0.6840, TrainAcc: 0.7846, ValAcc: 0.7952, ES: 10/50 | BestVal=0.7958@E40
Epoch: 60, Time: 0.0532, Loss: 0.6582, TrainAcc: 0.7905, ValAcc: 0.8015, ES: 00/50 | BestVal=0.8015@E60
Epoch: 70, Time: 0.0582, Loss: 0.6375, TrainAcc: 0.7845, ValAcc: 0.8041, ES: 00/50 | BestVal=0.8041@E70
Epoch: 80, Time: 0.0546, Loss: 0.6115, TrainAcc: 0.8036, ValAcc: 0.8047, ES: 02/50 | BestVal=0.8060@E78
Epoch: 90, Time: 0.0609, Loss: 0.5882, TrainAcc: 0.8085, ValAcc: 0.8053, ES: 04/50 | BestVal=0.8060@E86
Epoch: 100, Time: 0.0585, Loss: 0.5618, TrainAcc: 0.8162, ValAcc: 0.8066, ES: 00/50 | BestVal=0.8066@E100
Epoch: 110, Time: 0.0580, Loss: 0.5796, TrainAcc: 0.8089, ValAcc: 0.7869, ES: 10/50 | BestVal=0.8066@E100
Epoch: 120, Time: 0.0534, Loss: 0.5438, TrainAcc: 0.8208, ValAcc: 0.7996, ES: 20/50 | BestVal=0.8066@E100
Epoch: 130, Time: 0.0545, Loss: 0.5197, TrainAcc: 0.8306, ValAcc: 0.8003, ES: 05/50 | BestVal=0.8130@E125
Epoch: 140, Time: 0.0585, Loss: 0.5000, TrainAcc: 0.8372, ValAcc: 0.7990, ES: 15/50 | BestVal=0.8130@E125
Epoch: 150, Time: 0.0584, Loss: 0.5037, TrainAcc: 0.8350, ValAcc: 0.7939, ES: 25/50 | BestVal=0.8130@E125
Epoch: 160, Time: 0.0567, Loss: 0.5035, TrainAcc: 0.8344, ValAcc: 0.7983, ES: 35/50 | BestVal=0.8130@E125
Epoch: 170, Time: 0.0603, Loss: 0.4871, TrainAcc: 0.8340, ValAcc: 0.7990, ES: 45/50 | BestVal=0.8130@E125
Early stopped, loading model from epoch-125
Finished running train at 05-14 03:24:45, running time = 10.64s.
[RevGAT + TA] ValAcc: 0.8130, TestAcc: 0.7099
Loading pretrained LM features (title and abstract) ...
LM_emb_path: prt_lm/ogbn-products/Alibaba-NLP/gte-Qwen1.5-7B-instruct-seed42-dim4096.emb
Embeddings shape: torch.Size([54025, 4096])
Loading model GCN...
Number of parameters: 564271
Start running train at 05-14 03:24:46
Epoch: 0, Time: 0.1091, Loss: 4.2522, TrainAcc: 0.0184, ValAcc: 0.5452, ES: 00/50 | BestVal=0.5452@E0
Epoch: 10, Time: 0.0687, Loss: 0.7628, TrainAcc: 0.8197, ValAcc: 0.8270, ES: 01/50 | BestVal=0.8282@E9
Epoch: 20, Time: 0.0747, Loss: 0.6364, TrainAcc: 0.8376, ValAcc: 0.8467, ES: 00/50 | BestVal=0.8467@E20
Epoch: 30, Time: 0.0708, Loss: 0.5766, TrainAcc: 0.8500, ValAcc: 0.8391, ES: 03/50 | BestVal=0.8537@E27
Epoch: 40, Time: 0.0774, Loss: 0.5327, TrainAcc: 0.8568, ValAcc: 0.8683, ES: 00/50 | BestVal=0.8683@E40
Epoch: 50, Time: 0.0734, Loss: 0.5292, TrainAcc: 0.8514, ValAcc: 0.8683, ES: 05/50 | BestVal=0.8721@E45
Epoch: 60, Time: 0.0708, Loss: 0.4953, TrainAcc: 0.8631, ValAcc: 0.8696, ES: 15/50 | BestVal=0.8721@E45
Epoch: 70, Time: 0.0703, Loss: 0.4559, TrainAcc: 0.8686, ValAcc: 0.8740, ES: 09/50 | BestVal=0.8753@E61
Epoch: 80, Time: 0.0750, Loss: 0.4224, TrainAcc: 0.8779, ValAcc: 0.8683, ES: 19/50 | BestVal=0.8753@E61
Epoch: 90, Time: 0.0744, Loss: 0.3893, TrainAcc: 0.8884, ValAcc: 0.8607, ES: 29/50 | BestVal=0.8753@E61
Epoch: 100, Time: 0.0746, Loss: 0.3625, TrainAcc: 0.8935, ValAcc: 0.8702, ES: 39/50 | BestVal=0.8753@E61
Epoch: 110, Time: 0.0729, Loss: 0.3706, TrainAcc: 0.8833, ValAcc: 0.8747, ES: 02/50 | BestVal=0.8804@E108
Epoch: 120, Time: 0.0684, Loss: 0.3256, TrainAcc: 0.9043, ValAcc: 0.8779, ES: 01/50 | BestVal=0.8861@E119
Epoch: 130, Time: 0.0715, Loss: 0.3294, TrainAcc: 0.8933, ValAcc: 0.8753, ES: 11/50 | BestVal=0.8861@E119
Epoch: 140, Time: 0.0727, Loss: 0.2877, TrainAcc: 0.9143, ValAcc: 0.8817, ES: 21/50 | BestVal=0.8861@E119
Epoch: 150, Time: 0.0726, Loss: 0.2758, TrainAcc: 0.9187, ValAcc: 0.8817, ES: 31/50 | BestVal=0.8861@E119
Epoch: 160, Time: 0.0758, Loss: 0.2518, TrainAcc: 0.9245, ValAcc: 0.8734, ES: 03/50 | BestVal=0.8880@E157
Epoch: 170, Time: 0.0708, Loss: 0.2654, TrainAcc: 0.9162, ValAcc: 0.8766, ES: 13/50 | BestVal=0.8880@E157
Epoch: 180, Time: 0.0757, Loss: 0.2532, TrainAcc: 0.9161, ValAcc: 0.8779, ES: 23/50 | BestVal=0.8880@E157
Epoch: 190, Time: 0.0713, Loss: 0.2167, TrainAcc: 0.9337, ValAcc: 0.8785, ES: 33/50 | BestVal=0.8880@E157
Finished running train at 05-14 03:25:00, running time = 14.69s.
[GCN + TA] ValAcc: 0.8880, TestAcc: 0.7697
Loading pretrained LM features (title and abstract) ...
LM_emb_path: prt_lm/ogbn-products/Alibaba-NLP/gte-Qwen1.5-7B-instruct-seed42-dim4096.emb
Embeddings shape: torch.Size([54025, 4096])
Loading model SAGE...
Number of parameters: 1127343
Start running train at 05-14 03:25:02
Epoch: 0, Time: 0.2033, Loss: 4.0931, TrainAcc: 0.0074, ValAcc: 0.4364, ES: 00/50 | BestVal=0.4364@E0
Epoch: 10, Time: 0.1946, Loss: 0.7904, TrainAcc: 0.8094, ValAcc: 0.7875, ES: 00/50 | BestVal=0.7875@E10
Epoch: 20, Time: 0.1941, Loss: 0.6491, TrainAcc: 0.8276, ValAcc: 0.8270, ES: 00/50 | BestVal=0.8270@E20
Epoch: 30, Time: 0.1922, Loss: 0.5766, TrainAcc: 0.8448, ValAcc: 0.8448, ES: 02/50 | BestVal=0.8511@E28
Epoch: 40, Time: 0.1952, Loss: 0.4961, TrainAcc: 0.8621, ValAcc: 0.8734, ES: 00/50 | BestVal=0.8734@E40
Epoch: 50, Time: 0.1874, Loss: 0.4360, TrainAcc: 0.8750, ValAcc: 0.8715, ES: 05/50 | BestVal=0.8779@E45
Epoch: 60, Time: 0.1937, Loss: 0.3985, TrainAcc: 0.8861, ValAcc: 0.8747, ES: 04/50 | BestVal=0.8791@E56
Epoch: 70, Time: 0.1932, Loss: 0.3513, TrainAcc: 0.9022, ValAcc: 0.8836, ES: 02/50 | BestVal=0.8868@E68
Epoch: 80, Time: 0.1871, Loss: 0.3209, TrainAcc: 0.9059, ValAcc: 0.8791, ES: 03/50 | BestVal=0.8874@E77
Epoch: 90, Time: 0.1943, Loss: 0.3033, TrainAcc: 0.9120, ValAcc: 0.8963, ES: 00/50 | BestVal=0.8963@E90
Epoch: 100, Time: 0.1854, Loss: 0.2992, TrainAcc: 0.9172, ValAcc: 0.8957, ES: 01/50 | BestVal=0.8969@E99
Epoch: 110, Time: 0.1902, Loss: 0.2477, TrainAcc: 0.9284, ValAcc: 0.8957, ES: 06/50 | BestVal=0.8982@E104
Epoch: 120, Time: 0.1870, Loss: 0.2058, TrainAcc: 0.9393, ValAcc: 0.8906, ES: 16/50 | BestVal=0.8982@E104
Epoch: 130, Time: 0.1859, Loss: 0.1837, TrainAcc: 0.9466, ValAcc: 0.8696, ES: 26/50 | BestVal=0.8982@E104
Epoch: 140, Time: 0.1900, Loss: 0.2882, TrainAcc: 0.9045, ValAcc: 0.8766, ES: 09/50 | BestVal=0.8989@E131
Epoch: 150, Time: 0.1859, Loss: 0.1929, TrainAcc: 0.9465, ValAcc: 0.8880, ES: 19/50 | BestVal=0.8989@E131
Epoch: 160, Time: 0.1839, Loss: 0.1397, TrainAcc: 0.9601, ValAcc: 0.8931, ES: 29/50 | BestVal=0.8989@E131
Epoch: 170, Time: 0.1872, Loss: 0.1079, TrainAcc: 0.9706, ValAcc: 0.8963, ES: 04/50 | BestVal=0.8989@E166
Epoch: 180, Time: 0.1885, Loss: 0.0843, TrainAcc: 0.9791, ValAcc: 0.8919, ES: 14/50 | BestVal=0.8989@E166
Epoch: 190, Time: 0.1848, Loss: 0.1874, TrainAcc: 0.9445, ValAcc: 0.8861, ES: 24/50 | BestVal=0.8989@E166
Finished running train at 05-14 03:25:40, running time = 38.02s.
[SAGE + TA] ValAcc: 0.8989, TestAcc: 0.7975
Loading pretrained LM features (title and abstract) ...
LM_emb_path: prt_lm/ogbn-products/Alibaba-NLP/gte-Qwen1.5-7B-instruct-seed42-dim4096.emb
Embeddings shape: torch.Size([54025, 4096])
Loading model MLP...
Number of parameters: 564271
Start running train at 05-14 03:25:41
Epoch: 0, Time: 0.0478, Loss: 3.8862, TrainAcc: 0.0233, ValAcc: 0.2729, ES: 00/50 | BestVal=0.2729@E0
Epoch: 10, Time: 0.0607, Loss: 0.9165, TrainAcc: 0.7381, ValAcc: 0.7735, ES: 00/50 | BestVal=0.7735@E10
Epoch: 20, Time: 0.0552, Loss: 0.7904, TrainAcc: 0.7620, ValAcc: 0.7735, ES: 01/50 | BestVal=0.7856@E19
Epoch: 30, Time: 0.0555, Loss: 0.7424, TrainAcc: 0.7728, ValAcc: 0.7875, ES: 00/50 | BestVal=0.7875@E30
Epoch: 40, Time: 0.0575, Loss: 0.7119, TrainAcc: 0.7802, ValAcc: 0.7933, ES: 02/50 | BestVal=0.7939@E38
Epoch: 50, Time: 0.0546, Loss: 0.6839, TrainAcc: 0.7863, ValAcc: 0.7939, ES: 01/50 | BestVal=0.8047@E49
Epoch: 60, Time: 0.0542, Loss: 0.6584, TrainAcc: 0.7919, ValAcc: 0.7939, ES: 11/50 | BestVal=0.8047@E49
Epoch: 70, Time: 0.0608, Loss: 0.6369, TrainAcc: 0.7852, ValAcc: 0.8034, ES: 21/50 | BestVal=0.8047@E49
Epoch: 80, Time: 0.0522, Loss: 0.6113, TrainAcc: 0.8044, ValAcc: 0.8015, ES: 02/50 | BestVal=0.8047@E78
Epoch: 90, Time: 0.0544, Loss: 0.5880, TrainAcc: 0.8104, ValAcc: 0.7913, ES: 12/50 | BestVal=0.8047@E78
Epoch: 100, Time: 0.0532, Loss: 0.5728, TrainAcc: 0.8032, ValAcc: 0.7888, ES: 22/50 | BestVal=0.8047@E78
Epoch: 110, Time: 0.0555, Loss: 0.5913, TrainAcc: 0.8090, ValAcc: 0.7812, ES: 32/50 | BestVal=0.8047@E78
Epoch: 120, Time: 0.0535, Loss: 0.5526, TrainAcc: 0.8204, ValAcc: 0.7964, ES: 42/50 | BestVal=0.8047@E78
Epoch: 130, Time: 0.0601, Loss: 0.5224, TrainAcc: 0.8300, ValAcc: 0.8003, ES: 07/50 | BestVal=0.8060@E123
Epoch: 140, Time: 0.0581, Loss: 0.5093, TrainAcc: 0.8321, ValAcc: 0.7971, ES: 17/50 | BestVal=0.8060@E123
Epoch: 150, Time: 0.0575, Loss: 0.5714, TrainAcc: 0.8179, ValAcc: 0.7971, ES: 04/50 | BestVal=0.8162@E146
Epoch: 160, Time: 0.0542, Loss: 0.5212, TrainAcc: 0.8302, ValAcc: 0.7990, ES: 14/50 | BestVal=0.8162@E146
Epoch: 170, Time: 0.0541, Loss: 0.4969, TrainAcc: 0.8371, ValAcc: 0.7990, ES: 24/50 | BestVal=0.8162@E146
Epoch: 180, Time: 0.0581, Loss: 0.4836, TrainAcc: 0.8408, ValAcc: 0.7983, ES: 34/50 | BestVal=0.8162@E146
Epoch: 190, Time: 0.0599, Loss: 0.4783, TrainAcc: 0.8419, ValAcc: 0.7971, ES: 44/50 | BestVal=0.8162@E146
Early stopped, loading model from epoch-146
Finished running train at 05-14 03:25:52, running time = 11.40s.
[MLP + TA] ValAcc: 0.8162, TestAcc: 0.7085
(TA) ValAcc: 0.9122, TestAcc: 0.8047
[{'TA': {'val_acc': 0.8161577608142494, 'test_acc': 0.7085441780368261}, 'ensemble': {'val_acc': 0.9122137404580153, 'test_acc': 0.8047423499801298}}]
Running time: 80.16s
An import exception occurred
loaded dataset: ogbn-products
Loading pretrained LM features (title and abstract) ...
LM_emb_path: prt_lm/ogbn-products/Salesforce/SFR-Embedding-Mistral-seed42-dim4096.emb
Embeddings shape: torch.Size([54025, 4096])
Model RevGAT is not supported! Loading MLP ...
Loading model RevGAT...
Number of parameters: 564271
Start running train at 05-14 03:25:58
Epoch: 0, Time: 0.7199, Loss: 4.0736, TrainAcc: 0.0126, ValAcc: 0.1317, ES: 00/50 | BestVal=0.1317@E0
Epoch: 10, Time: 0.0591, Loss: 0.9273, TrainAcc: 0.7195, ValAcc: 0.7411, ES: 00/50 | BestVal=0.7411@E10
Epoch: 20, Time: 0.0561, Loss: 0.7947, TrainAcc: 0.7624, ValAcc: 0.7754, ES: 03/50 | BestVal=0.7824@E17
Epoch: 30, Time: 0.0594, Loss: 0.7434, TrainAcc: 0.7722, ValAcc: 0.7875, ES: 00/50 | BestVal=0.7875@E30
Epoch: 40, Time: 0.0593, Loss: 0.7064, TrainAcc: 0.7801, ValAcc: 0.7913, ES: 02/50 | BestVal=0.7933@E38
Epoch: 50, Time: 0.0618, Loss: 0.6716, TrainAcc: 0.7886, ValAcc: 0.7964, ES: 00/50 | BestVal=0.7964@E50
Epoch: 60, Time: 0.0546, Loss: 0.6391, TrainAcc: 0.7968, ValAcc: 0.8053, ES: 02/50 | BestVal=0.8060@E58
Epoch: 70, Time: 0.0554, Loss: 0.6071, TrainAcc: 0.8053, ValAcc: 0.8028, ES: 07/50 | BestVal=0.8060@E63
Epoch: 80, Time: 0.0528, Loss: 0.5736, TrainAcc: 0.8148, ValAcc: 0.8022, ES: 17/50 | BestVal=0.8060@E63
Epoch: 90, Time: 0.0594, Loss: 0.5403, TrainAcc: 0.8258, ValAcc: 0.7964, ES: 27/50 | BestVal=0.8060@E63
Epoch: 100, Time: 0.0578, Loss: 0.5164, TrainAcc: 0.8306, ValAcc: 0.7952, ES: 37/50 | BestVal=0.8060@E63
Epoch: 110, Time: 0.0566, Loss: 0.5115, TrainAcc: 0.8217, ValAcc: 0.7971, ES: 47/50 | BestVal=0.8060@E63
Early stopped, loading model from epoch-63
Finished running train at 05-14 03:26:05, running time = 7.22s.
[RevGAT + TA] ValAcc: 0.8060, TestAcc: 0.7284
Loading pretrained LM features (title and abstract) ...
LM_emb_path: prt_lm/ogbn-products/Salesforce/SFR-Embedding-Mistral-seed42-dim4096.emb
Embeddings shape: torch.Size([54025, 4096])
Loading model GCN...
Number of parameters: 564271
Start running train at 05-14 03:26:06
Epoch: 0, Time: 0.1103, Loss: 3.9009, TrainAcc: 0.0393, ValAcc: 0.3276, ES: 00/50 | BestVal=0.3276@E0
Epoch: 10, Time: 0.0746, Loss: 0.7223, TrainAcc: 0.8217, ValAcc: 0.7767, ES: 00/50 | BestVal=0.7767@E10
Epoch: 20, Time: 0.0790, Loss: 0.6169, TrainAcc: 0.8401, ValAcc: 0.8174, ES: 00/50 | BestVal=0.8174@E20
Epoch: 30, Time: 0.0691, Loss: 0.5544, TrainAcc: 0.8538, ValAcc: 0.8601, ES: 02/50 | BestVal=0.8626@E28
Epoch: 40, Time: 0.0744, Loss: 0.5039, TrainAcc: 0.8612, ValAcc: 0.8664, ES: 04/50 | BestVal=0.8677@E36
Epoch: 50, Time: 0.0711, Loss: 0.4656, TrainAcc: 0.8689, ValAcc: 0.8734, ES: 05/50 | BestVal=0.8753@E45
Epoch: 60, Time: 0.0712, Loss: 0.5189, TrainAcc: 0.8610, ValAcc: 0.8728, ES: 05/50 | BestVal=0.8760@E55
Epoch: 70, Time: 0.0675, Loss: 0.4180, TrainAcc: 0.8781, ValAcc: 0.8702, ES: 01/50 | BestVal=0.8772@E69
Epoch: 80, Time: 0.0750, Loss: 0.3740, TrainAcc: 0.8921, ValAcc: 0.8798, ES: 03/50 | BestVal=0.8836@E77
Epoch: 90, Time: 0.0699, Loss: 0.3378, TrainAcc: 0.8994, ValAcc: 0.8556, ES: 04/50 | BestVal=0.8938@E86
Epoch: 100, Time: 0.0709, Loss: 0.3069, TrainAcc: 0.9092, ValAcc: 0.8601, ES: 14/50 | BestVal=0.8938@E86
Epoch: 110, Time: 0.0706, Loss: 0.2804, TrainAcc: 0.9187, ValAcc: 0.8849, ES: 04/50 | BestVal=0.8944@E106
Epoch: 120, Time: 0.0695, Loss: 0.2737, TrainAcc: 0.9154, ValAcc: 0.8683, ES: 02/50 | BestVal=0.8976@E118
Epoch: 130, Time: 0.0731, Loss: 0.2296, TrainAcc: 0.9326, ValAcc: 0.8899, ES: 12/50 | BestVal=0.8976@E118
Epoch: 140, Time: 0.0753, Loss: 0.2041, TrainAcc: 0.9374, ValAcc: 0.8868, ES: 22/50 | BestVal=0.8976@E118
Epoch: 150, Time: 0.0756, Loss: 0.2283, TrainAcc: 0.9300, ValAcc: 0.8772, ES: 32/50 | BestVal=0.8976@E118
Epoch: 160, Time: 0.0747, Loss: 0.1974, TrainAcc: 0.9402, ValAcc: 0.8581, ES: 42/50 | BestVal=0.8976@E118
Early stopped, loading model from epoch-118
Finished running train at 05-14 03:26:19, running time = 12.36s.
[GCN + TA] ValAcc: 0.8976, TestAcc: 0.7744
Loading pretrained LM features (title and abstract) ...
LM_emb_path: prt_lm/ogbn-products/Salesforce/SFR-Embedding-Mistral-seed42-dim4096.emb
Embeddings shape: torch.Size([54025, 4096])
Loading model SAGE...
Number of parameters: 1127343
Start running train at 05-14 03:26:20
Epoch: 0, Time: 0.2052, Loss: 3.8930, TrainAcc: 0.0349, ValAcc: 0.3836, ES: 00/50 | BestVal=0.3836@E0
Epoch: 10, Time: 0.1825, Loss: 0.7891, TrainAcc: 0.8022, ValAcc: 0.7646, ES: 01/50 | BestVal=0.7672@E9
Epoch: 20, Time: 0.1933, Loss: 0.6398, TrainAcc: 0.8247, ValAcc: 0.7971, ES: 00/50 | BestVal=0.7971@E20
Epoch: 30, Time: 0.1932, Loss: 0.5411, TrainAcc: 0.8557, ValAcc: 0.8492, ES: 00/50 | BestVal=0.8492@E30
Epoch: 40, Time: 0.1870, Loss: 0.5167, TrainAcc: 0.8434, ValAcc: 0.8556, ES: 02/50 | BestVal=0.8715@E38
Epoch: 50, Time: 0.1893, Loss: 0.4435, TrainAcc: 0.8742, ValAcc: 0.8766, ES: 02/50 | BestVal=0.8791@E48
Epoch: 60, Time: 0.1885, Loss: 0.3858, TrainAcc: 0.8886, ValAcc: 0.8823, ES: 04/50 | BestVal=0.8842@E56
Epoch: 70, Time: 0.1880, Loss: 0.3444, TrainAcc: 0.8990, ValAcc: 0.8836, ES: 04/50 | BestVal=0.8855@E66
Epoch: 80, Time: 0.1959, Loss: 0.3163, TrainAcc: 0.9047, ValAcc: 0.8887, ES: 00/50 | BestVal=0.8887@E80
Epoch: 90, Time: 0.1985, Loss: 0.2778, TrainAcc: 0.9191, ValAcc: 0.8925, ES: 00/50 | BestVal=0.8925@E90
Epoch: 100, Time: 0.1919, Loss: 0.2275, TrainAcc: 0.9328, ValAcc: 0.8893, ES: 05/50 | BestVal=0.8995@E95
Epoch: 110, Time: 0.1914, Loss: 0.2431, TrainAcc: 0.9279, ValAcc: 0.8906, ES: 15/50 | BestVal=0.8995@E95
Epoch: 120, Time: 0.1929, Loss: 0.1820, TrainAcc: 0.9452, ValAcc: 0.8912, ES: 05/50 | BestVal=0.9020@E115
Epoch: 130, Time: 0.1949, Loss: 0.1351, TrainAcc: 0.9633, ValAcc: 0.8957, ES: 15/50 | BestVal=0.9020@E115
Epoch: 140, Time: 0.1929, Loss: 0.1455, TrainAcc: 0.9561, ValAcc: 0.8868, ES: 25/50 | BestVal=0.9020@E115
Epoch: 150, Time: 0.1934, Loss: 0.0998, TrainAcc: 0.9744, ValAcc: 0.8989, ES: 35/50 | BestVal=0.9020@E115
Epoch: 160, Time: 0.1878, Loss: 0.0777, TrainAcc: 0.9798, ValAcc: 0.8702, ES: 09/50 | BestVal=0.9020@E151
Epoch: 170, Time: 0.1869, Loss: 0.1312, TrainAcc: 0.9658, ValAcc: 0.8874, ES: 19/50 | BestVal=0.9020@E151
Epoch: 180, Time: 0.1885, Loss: 0.0758, TrainAcc: 0.9798, ValAcc: 0.8982, ES: 29/50 | BestVal=0.9020@E151
Epoch: 190, Time: 0.1859, Loss: 0.0558, TrainAcc: 0.9855, ValAcc: 0.8957, ES: 39/50 | BestVal=0.9020@E151
Finished running train at 05-14 03:26:58, running time = 38.14s.
[SAGE + TA] ValAcc: 0.9020, TestAcc: 0.7770
Loading pretrained LM features (title and abstract) ...
LM_emb_path: prt_lm/ogbn-products/Salesforce/SFR-Embedding-Mistral-seed42-dim4096.emb
Embeddings shape: torch.Size([54025, 4096])
Loading model MLP...
Number of parameters: 564271
Start running train at 05-14 03:26:59
Epoch: 0, Time: 0.0510, Loss: 3.9352, TrainAcc: 0.0328, ValAcc: 0.0865, ES: 00/50 | BestVal=0.0865@E0
Epoch: 10, Time: 0.0609, Loss: 0.9301, TrainAcc: 0.7238, ValAcc: 0.7436, ES: 00/50 | BestVal=0.7436@E10
Epoch: 20, Time: 0.0618, Loss: 0.7939, TrainAcc: 0.7651, ValAcc: 0.7888, ES: 00/50 | BestVal=0.7888@E20
Epoch: 30, Time: 0.0615, Loss: 0.7424, TrainAcc: 0.7730, ValAcc: 0.8022, ES: 02/50 | BestVal=0.8028@E28
Epoch: 40, Time: 0.0598, Loss: 0.7047, TrainAcc: 0.7797, ValAcc: 0.8003, ES: 12/50 | BestVal=0.8028@E28
Epoch: 50, Time: 0.0600, Loss: 0.6696, TrainAcc: 0.7882, ValAcc: 0.7933, ES: 07/50 | BestVal=0.8073@E43
Epoch: 60, Time: 0.0585, Loss: 0.6381, TrainAcc: 0.7959, ValAcc: 0.7945, ES: 17/50 | BestVal=0.8073@E43
Epoch: 70, Time: 0.0596, Loss: 0.6073, TrainAcc: 0.8045, ValAcc: 0.7894, ES: 27/50 | BestVal=0.8073@E43
Epoch: 80, Time: 0.0602, Loss: 0.5713, TrainAcc: 0.8143, ValAcc: 0.7888, ES: 37/50 | BestVal=0.8073@E43
Epoch: 90, Time: 0.0535, Loss: 0.5448, TrainAcc: 0.8218, ValAcc: 0.7952, ES: 47/50 | BestVal=0.8073@E43
Early stopped, loading model from epoch-43
Finished running train at 05-14 03:27:05, running time = 5.54s.
[MLP + TA] ValAcc: 0.8073, TestAcc: 0.6975
(TA) ValAcc: 0.9167, TestAcc: 0.7992
[{'TA': {'val_acc': 0.8072519083969466, 'test_acc': 0.6975228507087031}, 'ensemble': {'val_acc': 0.9166666666666666, 'test_acc': 0.7992316863160683}}]
Running time: 68.6s
An import exception occurred
loaded dataset: cora
Loading pretrained LM features (title and abstract) ...
LM_emb_path: prt_lm/cora/Alibaba-NLP/gte-Qwen1.5-7B-instruct-seed42-dim4096.emb
Embeddings shape: torch.Size([2708, 4096])
Model RevGAT is not supported! Loading MLP ...
Loading model RevGAT...
Number of parameters: 559111
Start running train at 05-14 03:27:19
Epoch: 0, Time: 0.9906, Loss: 1.9726, TrainAcc: 0.1669, ValAcc: 0.1808, ES: 00/50 | BestVal=0.1808@E0
Epoch: 10, Time: 0.0121, Loss: 0.6978, TrainAcc: 0.7783, ValAcc: 0.6236, ES: 00/50 | BestVal=0.6236@E10
Epoch: 20, Time: 0.0129, Loss: 0.5573, TrainAcc: 0.8282, ValAcc: 0.7066, ES: 00/50 | BestVal=0.7066@E20
Epoch: 30, Time: 0.0061, Loss: 0.4623, TrainAcc: 0.8522, ValAcc: 0.7103, ES: 01/50 | BestVal=0.7214@E29
Epoch: 40, Time: 0.0112, Loss: 0.3314, TrainAcc: 0.8812, ValAcc: 0.7694, ES: 00/50 | BestVal=0.7694@E40
Epoch: 50, Time: 0.0059, Loss: 0.2270, TrainAcc: 0.9243, ValAcc: 0.7399, ES: 10/50 | BestVal=0.7694@E40
Epoch: 60, Time: 0.0048, Loss: 0.2256, TrainAcc: 0.9212, ValAcc: 0.7638, ES: 20/50 | BestVal=0.7694@E40
Epoch: 70, Time: 0.0047, Loss: 0.1104, TrainAcc: 0.9674, ValAcc: 0.7362, ES: 30/50 | BestVal=0.7694@E40
Epoch: 80, Time: 0.0051, Loss: 0.0604, TrainAcc: 0.9877, ValAcc: 0.7565, ES: 40/50 | BestVal=0.7694@E40
Epoch: 90, Time: 0.0050, Loss: 0.0375, TrainAcc: 0.9920, ValAcc: 0.7694, ES: 04/50 | BestVal=0.7712@E86
Epoch: 100, Time: 0.0045, Loss: 0.0159, TrainAcc: 0.9969, ValAcc: 0.7749, ES: 01/50 | BestVal=0.7786@E99
Epoch: 110, Time: 0.0047, Loss: 0.0067, TrainAcc: 1.0000, ValAcc: 0.7768, ES: 04/50 | BestVal=0.7915@E106
Epoch: 120, Time: 0.0046, Loss: 0.0035, TrainAcc: 1.0000, ValAcc: 0.7694, ES: 14/50 | BestVal=0.7915@E106
Epoch: 130, Time: 0.0046, Loss: 0.0021, TrainAcc: 1.0000, ValAcc: 0.7712, ES: 24/50 | BestVal=0.7915@E106
Epoch: 140, Time: 0.0046, Loss: 0.0015, TrainAcc: 1.0000, ValAcc: 0.7675, ES: 34/50 | BestVal=0.7915@E106
Epoch: 150, Time: 0.0044, Loss: 0.0012, TrainAcc: 1.0000, ValAcc: 0.7694, ES: 44/50 | BestVal=0.7915@E106
Early stopped, loading model from epoch-106
Finished running train at 05-14 03:27:21, running time = 2.01s.
[RevGAT + TA] ValAcc: 0.7915, TestAcc: 0.7232
Loading pretrained LM features (title and abstract) ...
LM_emb_path: prt_lm/cora/Alibaba-NLP/gte-Qwen1.5-7B-instruct-seed42-dim4096.emb
Embeddings shape: torch.Size([2708, 4096])
Loading model GCN...
Number of parameters: 559111
Start running train at 05-14 03:27:25
Epoch: 0, Time: 0.0219, Loss: 2.3522, TrainAcc: 0.0998, ValAcc: 0.2934, ES: 00/50 | BestVal=0.2934@E0
Epoch: 10, Time: 0.0150, Loss: 0.4661, TrainAcc: 0.8454, ValAcc: 0.7177, ES: 00/50 | BestVal=0.7177@E10
Epoch: 20, Time: 0.0132, Loss: 0.3850, TrainAcc: 0.8615, ValAcc: 0.7804, ES: 00/50 | BestVal=0.7804@E20
Epoch: 30, Time: 0.0130, Loss: 0.3296, TrainAcc: 0.8762, ValAcc: 0.8063, ES: 00/50 | BestVal=0.8063@E30
Epoch: 40, Time: 0.0118, Loss: 0.2789, TrainAcc: 0.8959, ValAcc: 0.8506, ES: 00/50 | BestVal=0.8506@E40
Epoch: 50, Time: 0.0118, Loss: 0.2402, TrainAcc: 0.9144, ValAcc: 0.8708, ES: 00/50 | BestVal=0.8708@E50
Epoch: 60, Time: 0.0116, Loss: 0.2125, TrainAcc: 0.9206, ValAcc: 0.8948, ES: 00/50 | BestVal=0.8948@E60
Epoch: 70, Time: 0.0063, Loss: 0.1776, TrainAcc: 0.9304, ValAcc: 0.8708, ES: 10/50 | BestVal=0.8948@E60
Epoch: 80, Time: 0.0072, Loss: 0.1793, TrainAcc: 0.9347, ValAcc: 0.8579, ES: 20/50 | BestVal=0.8948@E60
Epoch: 90, Time: 0.0063, Loss: 0.1410, TrainAcc: 0.9514, ValAcc: 0.8801, ES: 30/50 | BestVal=0.8948@E60
Epoch: 100, Time: 0.0062, Loss: 0.1953, TrainAcc: 0.9329, ValAcc: 0.8561, ES: 40/50 | BestVal=0.8948@E60
Early stopped, loading model from epoch-60
Finished running train at 05-14 03:27:26, running time = 1.00s.
[GCN + TA] ValAcc: 0.8948, TestAcc: 0.8690
Loading pretrained LM features (title and abstract) ...
LM_emb_path: prt_lm/cora/Alibaba-NLP/gte-Qwen1.5-7B-instruct-seed42-dim4096.emb
Embeddings shape: torch.Size([2708, 4096])
Loading model SAGE...
Number of parameters: 1117063
Start running train at 05-14 03:27:29
Epoch: 0, Time: 0.0405, Loss: 1.9415, TrainAcc: 0.2654, ValAcc: 0.3708, ES: 00/50 | BestVal=0.3708@E0
Epoch: 10, Time: 0.0196, Loss: 0.4851, TrainAcc: 0.8294, ValAcc: 0.6328, ES: 01/50 | BestVal=0.6402@E9
Epoch: 20, Time: 0.0242, Loss: 0.3997, TrainAcc: 0.8553, ValAcc: 0.7509, ES: 00/50 | BestVal=0.7509@E20
Epoch: 30, Time: 0.0247, Loss: 0.3375, TrainAcc: 0.8762, ValAcc: 0.8173, ES: 00/50 | BestVal=0.8173@E30
Epoch: 40, Time: 0.0159, Loss: 0.2864, TrainAcc: 0.8953, ValAcc: 0.8432, ES: 01/50 | BestVal=0.8469@E39
Epoch: 50, Time: 0.0161, Loss: 0.2527, TrainAcc: 0.9113, ValAcc: 0.8506, ES: 04/50 | BestVal=0.8672@E46
Epoch: 60, Time: 0.0156, Loss: 0.2202, TrainAcc: 0.9193, ValAcc: 0.8635, ES: 02/50 | BestVal=0.8690@E58
Epoch: 70, Time: 0.0250, Loss: 0.1681, TrainAcc: 0.9427, ValAcc: 0.8708, ES: 00/50 | BestVal=0.8708@E70
Epoch: 80, Time: 0.0160, Loss: 0.1566, TrainAcc: 0.9458, ValAcc: 0.8506, ES: 03/50 | BestVal=0.8727@E77
Epoch: 90, Time: 0.0161, Loss: 0.1089, TrainAcc: 0.9643, ValAcc: 0.8616, ES: 08/50 | BestVal=0.8782@E82
Epoch: 100, Time: 0.0169, Loss: 0.1029, TrainAcc: 0.9661, ValAcc: 0.8690, ES: 18/50 | BestVal=0.8782@E82
Epoch: 110, Time: 0.0164, Loss: 0.0668, TrainAcc: 0.9797, ValAcc: 0.8635, ES: 28/50 | BestVal=0.8782@E82
Epoch: 120, Time: 0.0161, Loss: 0.0569, TrainAcc: 0.9865, ValAcc: 0.8616, ES: 38/50 | BestVal=0.8782@E82
Epoch: 130, Time: 0.0163, Loss: 0.0341, TrainAcc: 0.9926, ValAcc: 0.8598, ES: 48/50 | BestVal=0.8782@E82
Early stopped, loading model from epoch-82
Finished running train at 05-14 03:27:32, running time = 2.68s.
[SAGE + TA] ValAcc: 0.8782, TestAcc: 0.8708
Loading pretrained LM features (title and abstract) ...
LM_emb_path: prt_lm/cora/Alibaba-NLP/gte-Qwen1.5-7B-instruct-seed42-dim4096.emb
Embeddings shape: torch.Size([2708, 4096])
Loading model MLP...
Number of parameters: 559111
Start running train at 05-14 03:27:36
Epoch: 0, Time: 0.0171, Loss: 1.9726, TrainAcc: 0.1669, ValAcc: 0.1808, ES: 00/50 | BestVal=0.1808@E0
Epoch: 10, Time: 0.0123, Loss: 0.6978, TrainAcc: 0.7783, ValAcc: 0.6236, ES: 00/50 | BestVal=0.6236@E10
Epoch: 20, Time: 0.0124, Loss: 0.5573, TrainAcc: 0.8282, ValAcc: 0.7066, ES: 00/50 | BestVal=0.7066@E20
Epoch: 30, Time: 0.0062, Loss: 0.4623, TrainAcc: 0.8522, ValAcc: 0.7103, ES: 01/50 | BestVal=0.7214@E29
Epoch: 40, Time: 0.0117, Loss: 0.3314, TrainAcc: 0.8812, ValAcc: 0.7694, ES: 00/50 | BestVal=0.7694@E40
Epoch: 50, Time: 0.0055, Loss: 0.2270, TrainAcc: 0.9243, ValAcc: 0.7399, ES: 10/50 | BestVal=0.7694@E40
Epoch: 60, Time: 0.0055, Loss: 0.2256, TrainAcc: 0.9212, ValAcc: 0.7638, ES: 20/50 | BestVal=0.7694@E40
Epoch: 70, Time: 0.0053, Loss: 0.1104, TrainAcc: 0.9674, ValAcc: 0.7362, ES: 30/50 | BestVal=0.7694@E40
Epoch: 80, Time: 0.0053, Loss: 0.0604, TrainAcc: 0.9877, ValAcc: 0.7565, ES: 40/50 | BestVal=0.7694@E40
Epoch: 90, Time: 0.0044, Loss: 0.0375, TrainAcc: 0.9920, ValAcc: 0.7694, ES: 04/50 | BestVal=0.7712@E86
Epoch: 100, Time: 0.0046, Loss: 0.0159, TrainAcc: 0.9969, ValAcc: 0.7749, ES: 01/50 | BestVal=0.7786@E99
Epoch: 110, Time: 0.0047, Loss: 0.0067, TrainAcc: 1.0000, ValAcc: 0.7768, ES: 04/50 | BestVal=0.7915@E106
Epoch: 120, Time: 0.0046, Loss: 0.0035, TrainAcc: 1.0000, ValAcc: 0.7694, ES: 14/50 | BestVal=0.7915@E106
Epoch: 130, Time: 0.0045, Loss: 0.0021, TrainAcc: 1.0000, ValAcc: 0.7712, ES: 24/50 | BestVal=0.7915@E106
Epoch: 140, Time: 0.0045, Loss: 0.0015, TrainAcc: 1.0000, ValAcc: 0.7675, ES: 34/50 | BestVal=0.7915@E106
Epoch: 150, Time: 0.0043, Loss: 0.0012, TrainAcc: 1.0000, ValAcc: 0.7694, ES: 44/50 | BestVal=0.7915@E106
Early stopped, loading model from epoch-106
Finished running train at 05-14 03:27:37, running time = 1.04s.
[MLP + TA] ValAcc: 0.7915, TestAcc: 0.7232
(TA) ValAcc: 0.8487, TestAcc: 0.8137
[{'TA': {'val_acc': 0.7915129151291513, 'test_acc': 0.7232472324723247}, 'ensemble': {'val_acc': 0.8487084870848709, 'test_acc': 0.8136531365313653}}]
Running time: 28.17s
An import exception occurred
loaded dataset: cora
Loading pretrained LM features (title and abstract) ...
LM_emb_path: prt_lm/cora/Salesforce/SFR-Embedding-Mistral-seed42-dim4096.emb
Embeddings shape: torch.Size([2708, 4096])
Model RevGAT is not supported! Loading MLP ...
Loading model RevGAT...
Number of parameters: 559111
Start running train at 05-14 03:27:51
Epoch: 0, Time: 0.9779, Loss: 2.0124, TrainAcc: 0.1250, ValAcc: 0.2915, ES: 00/50 | BestVal=0.2915@E0
Epoch: 10, Time: 0.0129, Loss: 0.6092, TrainAcc: 0.8030, ValAcc: 0.7269, ES: 00/50 | BestVal=0.7269@E10
Epoch: 20, Time: 0.0071, Loss: 0.4353, TrainAcc: 0.8633, ValAcc: 0.7749, ES: 02/50 | BestVal=0.7804@E18
Epoch: 30, Time: 0.0057, Loss: 0.2468, TrainAcc: 0.9261, ValAcc: 0.6882, ES: 12/50 | BestVal=0.7804@E18
Epoch: 40, Time: 0.0057, Loss: 0.1109, TrainAcc: 0.9686, ValAcc: 0.6236, ES: 22/50 | BestVal=0.7804@E18
Epoch: 50, Time: 0.0057, Loss: 0.0275, TrainAcc: 0.9963, ValAcc: 0.6882, ES: 32/50 | BestVal=0.7804@E18
Epoch: 60, Time: 0.0059, Loss: 0.0051, TrainAcc: 1.0000, ValAcc: 0.7288, ES: 42/50 | BestVal=0.7804@E18
Early stopped, loading model from epoch-18
Finished running train at 05-14 03:27:53, running time = 1.52s.
[RevGAT + TA] ValAcc: 0.7804, TestAcc: 0.7620
Loading pretrained LM features (title and abstract) ...
LM_emb_path: prt_lm/cora/Salesforce/SFR-Embedding-Mistral-seed42-dim4096.emb
Embeddings shape: torch.Size([2708, 4096])
Loading model GCN...
Number of parameters: 559111
Start running train at 05-14 03:27:57
Epoch: 0, Time: 0.0217, Loss: 2.0078, TrainAcc: 0.2555, ValAcc: 0.4207, ES: 00/50 | BestVal=0.4207@E0
Epoch: 10, Time: 0.0147, Loss: 0.3794, TrainAcc: 0.8639, ValAcc: 0.6513, ES: 00/50 | BestVal=0.6513@E10
Epoch: 20, Time: 0.0129, Loss: 0.3024, TrainAcc: 0.8898, ValAcc: 0.7841, ES: 00/50 | BestVal=0.7841@E20
Epoch: 30, Time: 0.0125, Loss: 0.2453, TrainAcc: 0.9144, ValAcc: 0.8395, ES: 00/50 | BestVal=0.8395@E30
Epoch: 40, Time: 0.0122, Loss: 0.1958, TrainAcc: 0.9261, ValAcc: 0.8727, ES: 00/50 | BestVal=0.8727@E40
Epoch: 50, Time: 0.0068, Loss: 0.1644, TrainAcc: 0.9372, ValAcc: 0.8893, ES: 02/50 | BestVal=0.8967@E48
Epoch: 60, Time: 0.0063, Loss: 0.1284, TrainAcc: 0.9563, ValAcc: 0.8690, ES: 09/50 | BestVal=0.8985@E51
Epoch: 70, Time: 0.0063, Loss: 0.1253, TrainAcc: 0.9520, ValAcc: 0.8672, ES: 19/50 | BestVal=0.8985@E51
Epoch: 80, Time: 0.0063, Loss: 0.0993, TrainAcc: 0.9649, ValAcc: 0.8598, ES: 29/50 | BestVal=0.8985@E51
Epoch: 90, Time: 0.0063, Loss: 0.1011, TrainAcc: 0.9587, ValAcc: 0.8690, ES: 39/50 | BestVal=0.8985@E51
Epoch: 100, Time: 0.0062, Loss: 0.0729, TrainAcc: 0.9754, ValAcc: 0.8579, ES: 49/50 | BestVal=0.8985@E51
Early stopped, loading model from epoch-51
Finished running train at 05-14 03:27:58, running time = 0.95s.
[GCN + TA] ValAcc: 0.8985, TestAcc: 0.8764
Loading pretrained LM features (title and abstract) ...
LM_emb_path: prt_lm/cora/Salesforce/SFR-Embedding-Mistral-seed42-dim4096.emb
Embeddings shape: torch.Size([2708, 4096])
Loading model SAGE...
Number of parameters: 1117063
Start running train at 05-14 03:28:01
Epoch: 0, Time: 0.0421, Loss: 1.9542, TrainAcc: 0.2094, ValAcc: 0.3653, ES: 00/50 | BestVal=0.3653@E0
Epoch: 10, Time: 0.0203, Loss: 0.4236, TrainAcc: 0.8547, ValAcc: 0.7454, ES: 07/50 | BestVal=0.7768@E3
Epoch: 20, Time: 0.0159, Loss: 0.3303, TrainAcc: 0.8775, ValAcc: 0.8247, ES: 01/50 | BestVal=0.8266@E19
Epoch: 30, Time: 0.0251, Loss: 0.2528, TrainAcc: 0.9033, ValAcc: 0.8616, ES: 00/50 | BestVal=0.8616@E30
Epoch: 40, Time: 0.0263, Loss: 0.1898, TrainAcc: 0.9292, ValAcc: 0.8838, ES: 00/50 | BestVal=0.8838@E40
Epoch: 50, Time: 0.0165, Loss: 0.1345, TrainAcc: 0.9581, ValAcc: 0.8801, ES: 07/50 | BestVal=0.8893@E43
Epoch: 60, Time: 0.0166, Loss: 0.0885, TrainAcc: 0.9741, ValAcc: 0.8782, ES: 17/50 | BestVal=0.8893@E43
Epoch: 70, Time: 0.0163, Loss: 0.0490, TrainAcc: 0.9901, ValAcc: 0.8764, ES: 27/50 | BestVal=0.8893@E43
Epoch: 80, Time: 0.0163, Loss: 0.0255, TrainAcc: 0.9963, ValAcc: 0.8764, ES: 37/50 | BestVal=0.8893@E43
Epoch: 90, Time: 0.0162, Loss: 0.0178, TrainAcc: 0.9963, ValAcc: 0.8745, ES: 47/50 | BestVal=0.8893@E43
Early stopped, loading model from epoch-43
Finished running train at 05-14 03:28:03, running time = 1.89s.
[SAGE + TA] ValAcc: 0.8893, TestAcc: 0.8782
Loading pretrained LM features (title and abstract) ...
LM_emb_path: prt_lm/cora/Salesforce/SFR-Embedding-Mistral-seed42-dim4096.emb
Embeddings shape: torch.Size([2708, 4096])
Loading model MLP...
Number of parameters: 559111
Start running train at 05-14 03:28:07
Epoch: 0, Time: 0.0173, Loss: 2.0124, TrainAcc: 0.1250, ValAcc: 0.2915, ES: 00/50 | BestVal=0.2915@E0
Epoch: 10, Time: 0.0121, Loss: 0.6092, TrainAcc: 0.8030, ValAcc: 0.7269, ES: 00/50 | BestVal=0.7269@E10
Epoch: 20, Time: 0.0066, Loss: 0.4353, TrainAcc: 0.8633, ValAcc: 0.7749, ES: 02/50 | BestVal=0.7804@E18
Epoch: 30, Time: 0.0066, Loss: 0.2468, TrainAcc: 0.9261, ValAcc: 0.6882, ES: 12/50 | BestVal=0.7804@E18
Epoch: 40, Time: 0.0064, Loss: 0.1109, TrainAcc: 0.9686, ValAcc: 0.6236, ES: 22/50 | BestVal=0.7804@E18
Epoch: 50, Time: 0.0048, Loss: 0.0275, TrainAcc: 0.9963, ValAcc: 0.6882, ES: 32/50 | BestVal=0.7804@E18
Epoch: 60, Time: 0.0047, Loss: 0.0051, TrainAcc: 1.0000, ValAcc: 0.7288, ES: 42/50 | BestVal=0.7804@E18
Early stopped, loading model from epoch-18
Finished running train at 05-14 03:28:08, running time = 0.54s.
[MLP + TA] ValAcc: 0.7804, TestAcc: 0.7620
(TA) ValAcc: 0.8948, TestAcc: 0.8745
[{'TA': {'val_acc': 0.7804428044280443, 'test_acc': 0.7619926199261993}, 'ensemble': {'val_acc': 0.8948339483394834, 'test_acc': 0.8745387453874539}}]
Running time: 26.81s
An import exception occurred
loaded dataset: pubmed
Loading pretrained LM features (title and abstract) ...
LM_emb_path: prt_lm/pubmed/Alibaba-NLP/gte-Qwen1.5-7B-instruct-seed42-dim4096.emb
Embeddings shape: torch.Size([19717, 4096])
Model RevGAT is not supported! Loading MLP ...
Loading model RevGAT...
Number of parameters: 558595
Start running train at 05-14 03:28:20
Epoch: 0, Time: 1.0225, Loss: 1.1788, TrainAcc: 0.2731, ValAcc: 0.4055, ES: 00/50 | BestVal=0.4055@E0
Epoch: 10, Time: 0.0199, Loss: 0.5155, TrainAcc: 0.7876, ValAcc: 0.7309, ES: 03/50 | BestVal=0.7375@E7
Epoch: 20, Time: 0.0202, Loss: 0.4294, TrainAcc: 0.8330, ValAcc: 0.6949, ES: 13/50 | BestVal=0.7375@E7
Epoch: 30, Time: 0.0181, Loss: 0.3733, TrainAcc: 0.8542, ValAcc: 0.8204, ES: 02/50 | BestVal=0.8237@E28
Epoch: 40, Time: 0.0204, Loss: 0.3318, TrainAcc: 0.8720, ValAcc: 0.8007, ES: 12/50 | BestVal=0.8237@E28
Epoch: 50, Time: 0.0260, Loss: 0.3183, TrainAcc: 0.8760, ValAcc: 0.8384, ES: 00/50 | BestVal=0.8384@E50
Epoch: 60, Time: 0.0228, Loss: 0.2866, TrainAcc: 0.8893, ValAcc: 0.8669, ES: 00/50 | BestVal=0.8669@E60
Epoch: 70, Time: 0.0206, Loss: 0.2826, TrainAcc: 0.8896, ValAcc: 0.8346, ES: 09/50 | BestVal=0.8674@E61
Epoch: 80, Time: 0.0195, Loss: 0.2562, TrainAcc: 0.9014, ValAcc: 0.8696, ES: 01/50 | BestVal=0.8722@E79
Epoch: 90, Time: 0.0188, Loss: 0.2419, TrainAcc: 0.9073, ValAcc: 0.8565, ES: 02/50 | BestVal=0.8732@E88
Epoch: 100, Time: 0.0199, Loss: 0.2394, TrainAcc: 0.9075, ValAcc: 0.8405, ES: 12/50 | BestVal=0.8732@E88
Epoch: 110, Time: 0.0207, Loss: 0.2219, TrainAcc: 0.9170, ValAcc: 0.8724, ES: 05/50 | BestVal=0.8755@E105
Epoch: 120, Time: 0.0201, Loss: 0.2048, TrainAcc: 0.9234, ValAcc: 0.8458, ES: 09/50 | BestVal=0.8785@E111
Epoch: 130, Time: 0.0201, Loss: 0.2657, TrainAcc: 0.8994, ValAcc: 0.7877, ES: 19/50 | BestVal=0.8785@E111
Epoch: 140, Time: 0.0204, Loss: 0.2296, TrainAcc: 0.9123, ValAcc: 0.8719, ES: 29/50 | BestVal=0.8785@E111
Epoch: 150, Time: 0.0285, Loss: 0.1990, TrainAcc: 0.9254, ValAcc: 0.8823, ES: 00/50 | BestVal=0.8823@E150
Epoch: 160, Time: 0.0192, Loss: 0.1855, TrainAcc: 0.9314, ValAcc: 0.8623, ES: 09/50 | BestVal=0.8874@E151
Epoch: 170, Time: 0.0201, Loss: 0.2449, TrainAcc: 0.9075, ValAcc: 0.8610, ES: 19/50 | BestVal=0.8874@E151
Epoch: 180, Time: 0.0205, Loss: 0.1848, TrainAcc: 0.9332, ValAcc: 0.8836, ES: 29/50 | BestVal=0.8874@E151
Epoch: 190, Time: 0.0188, Loss: 0.1682, TrainAcc: 0.9370, ValAcc: 0.8646, ES: 03/50 | BestVal=0.8963@E187
Finished running train at 05-14 03:28:25, running time = 5.27s.
[RevGAT + TA] ValAcc: 0.8963, TestAcc: 0.8938
Loading pretrained LM features (title and abstract) ...
LM_emb_path: prt_lm/pubmed/Alibaba-NLP/gte-Qwen1.5-7B-instruct-seed42-dim4096.emb
Embeddings shape: torch.Size([19717, 4096])
Loading model GCN...
Number of parameters: 558595
Start running train at 05-14 03:28:27
Epoch: 0, Time: 0.0616, Loss: 1.4623, TrainAcc: 0.1981, ValAcc: 0.5351, ES: 00/50 | BestVal=0.5351@E0
Epoch: 10, Time: 0.0342, Loss: 0.5658, TrainAcc: 0.7746, ValAcc: 0.6614, ES: 01/50 | BestVal=0.7040@E9
Epoch: 20, Time: 0.0359, Loss: 0.5087, TrainAcc: 0.8047, ValAcc: 0.6145, ES: 11/50 | BestVal=0.7040@E9
Epoch: 30, Time: 0.0399, Loss: 0.4622, TrainAcc: 0.8194, ValAcc: 0.7771, ES: 00/50 | BestVal=0.7771@E30
Epoch: 40, Time: 0.0329, Loss: 0.4298, TrainAcc: 0.8347, ValAcc: 0.7953, ES: 01/50 | BestVal=0.8017@E39
Epoch: 50, Time: 0.0332, Loss: 0.4032, TrainAcc: 0.8464, ValAcc: 0.8159, ES: 02/50 | BestVal=0.8192@E48
Epoch: 60, Time: 0.0349, Loss: 0.3829, TrainAcc: 0.8549, ValAcc: 0.8126, ES: 01/50 | BestVal=0.8280@E59
Epoch: 70, Time: 0.0348, Loss: 0.3666, TrainAcc: 0.8630, ValAcc: 0.8075, ES: 02/50 | BestVal=0.8392@E68
Epoch: 80, Time: 0.0346, Loss: 0.3661, TrainAcc: 0.8633, ValAcc: 0.8108, ES: 07/50 | BestVal=0.8438@E73
Epoch: 90, Time: 0.0364, Loss: 0.3545, TrainAcc: 0.8674, ValAcc: 0.8308, ES: 17/50 | BestVal=0.8438@E73
Epoch: 100, Time: 0.0350, Loss: 0.3515, TrainAcc: 0.8650, ValAcc: 0.7705, ES: 02/50 | BestVal=0.8527@E98
Epoch: 110, Time: 0.0349, Loss: 0.3224, TrainAcc: 0.8801, ValAcc: 0.6444, ES: 12/50 | BestVal=0.8527@E98
Epoch: 120, Time: 0.0359, Loss: 0.3360, TrainAcc: 0.8720, ValAcc: 0.7697, ES: 22/50 | BestVal=0.8527@E98
Epoch: 130, Time: 0.0344, Loss: 0.3327, TrainAcc: 0.8780, ValAcc: 0.6561, ES: 32/50 | BestVal=0.8527@E98
Epoch: 140, Time: 0.0349, Loss: 0.3125, TrainAcc: 0.8830, ValAcc: 0.8412, ES: 06/50 | BestVal=0.8534@E134
Epoch: 150, Time: 0.0354, Loss: 0.3182, TrainAcc: 0.8825, ValAcc: 0.7497, ES: 09/50 | BestVal=0.8580@E141
Epoch: 160, Time: 0.0356, Loss: 0.3011, TrainAcc: 0.8865, ValAcc: 0.8088, ES: 19/50 | BestVal=0.8580@E141
Epoch: 170, Time: 0.0354, Loss: 0.2889, TrainAcc: 0.8904, ValAcc: 0.8177, ES: 29/50 | BestVal=0.8580@E141
Epoch: 180, Time: 0.0358, Loss: 0.2907, TrainAcc: 0.8931, ValAcc: 0.8204, ES: 39/50 | BestVal=0.8580@E141
Epoch: 190, Time: 0.0359, Loss: 0.3079, TrainAcc: 0.8826, ValAcc: 0.8291, ES: 49/50 | BestVal=0.8580@E141
Early stopped, loading model from epoch-141
Finished running train at 05-14 03:28:34, running time = 6.94s.
[GCN + TA] ValAcc: 0.8580, TestAcc: 0.8623
Loading pretrained LM features (title and abstract) ...
LM_emb_path: prt_lm/pubmed/Alibaba-NLP/gte-Qwen1.5-7B-instruct-seed42-dim4096.emb
Embeddings shape: torch.Size([19717, 4096])
Loading model SAGE...
Number of parameters: 1116035
Start running train at 05-14 03:28:36
Epoch: 0, Time: 0.1822, Loss: 1.1836, TrainAcc: 0.3063, ValAcc: 0.4514, ES: 00/50 | BestVal=0.4514@E0
Epoch: 10, Time: 0.1275, Loss: 0.5595, TrainAcc: 0.7684, ValAcc: 0.6700, ES: 00/50 | BestVal=0.6700@E10
Epoch: 20, Time: 0.1244, Loss: 0.5122, TrainAcc: 0.7954, ValAcc: 0.7581, ES: 00/50 | BestVal=0.7581@E20
Epoch: 30, Time: 0.1299, Loss: 0.4586, TrainAcc: 0.8179, ValAcc: 0.7667, ES: 00/50 | BestVal=0.7667@E30
Epoch: 40, Time: 0.1244, Loss: 0.4134, TrainAcc: 0.8380, ValAcc: 0.8093, ES: 00/50 | BestVal=0.8093@E40
Epoch: 50, Time: 0.1208, Loss: 0.3777, TrainAcc: 0.8517, ValAcc: 0.8083, ES: 10/50 | BestVal=0.8093@E40
Epoch: 60, Time: 0.1296, Loss: 0.3470, TrainAcc: 0.8646, ValAcc: 0.8298, ES: 00/50 | BestVal=0.8298@E60
Epoch: 70, Time: 0.1245, Loss: 0.3193, TrainAcc: 0.8753, ValAcc: 0.8506, ES: 00/50 | BestVal=0.8506@E70
Epoch: 80, Time: 0.1197, Loss: 0.3592, TrainAcc: 0.8544, ValAcc: 0.8511, ES: 02/50 | BestVal=0.8620@E78
Epoch: 90, Time: 0.1186, Loss: 0.2969, TrainAcc: 0.8888, ValAcc: 0.7885, ES: 12/50 | BestVal=0.8620@E78
Epoch: 100, Time: 0.1205, Loss: 0.2646, TrainAcc: 0.9014, ValAcc: 0.8580, ES: 22/50 | BestVal=0.8620@E78
Epoch: 110, Time: 0.1204, Loss: 0.2412, TrainAcc: 0.9079, ValAcc: 0.8040, ES: 08/50 | BestVal=0.8707@E102
Epoch: 120, Time: 0.1223, Loss: 0.2582, TrainAcc: 0.9012, ValAcc: 0.7761, ES: 18/50 | BestVal=0.8707@E102
Epoch: 130, Time: 0.1220, Loss: 0.2240, TrainAcc: 0.9146, ValAcc: 0.8473, ES: 28/50 | BestVal=0.8707@E102
Epoch: 140, Time: 0.1221, Loss: 0.2041, TrainAcc: 0.9230, ValAcc: 0.7969, ES: 38/50 | BestVal=0.8707@E102
Epoch: 150, Time: 0.1223, Loss: 0.1919, TrainAcc: 0.9286, ValAcc: 0.7720, ES: 48/50 | BestVal=0.8707@E102
Early stopped, loading model from epoch-102
Finished running train at 05-14 03:28:55, running time = 18.76s.
[SAGE + TA] ValAcc: 0.8707, TestAcc: 0.8778
Loading pretrained LM features (title and abstract) ...
LM_emb_path: prt_lm/pubmed/Alibaba-NLP/gte-Qwen1.5-7B-instruct-seed42-dim4096.emb
Embeddings shape: torch.Size([19717, 4096])
Loading model MLP...
Number of parameters: 558595
Start running train at 05-14 03:28:57
Epoch: 0, Time: 0.0403, Loss: 1.1788, TrainAcc: 0.2731, ValAcc: 0.4055, ES: 00/50 | BestVal=0.4055@E0
Epoch: 10, Time: 0.0206, Loss: 0.5155, TrainAcc: 0.7876, ValAcc: 0.7309, ES: 03/50 | BestVal=0.7375@E7
Epoch: 20, Time: 0.0212, Loss: 0.4294, TrainAcc: 0.8330, ValAcc: 0.6949, ES: 13/50 | BestVal=0.7375@E7
Epoch: 30, Time: 0.0196, Loss: 0.3733, TrainAcc: 0.8542, ValAcc: 0.8204, ES: 02/50 | BestVal=0.8237@E28
Epoch: 40, Time: 0.0210, Loss: 0.3318, TrainAcc: 0.8720, ValAcc: 0.8007, ES: 12/50 | BestVal=0.8237@E28
Epoch: 50, Time: 0.0261, Loss: 0.3183, TrainAcc: 0.8760, ValAcc: 0.8384, ES: 00/50 | BestVal=0.8384@E50
Epoch: 60, Time: 0.0242, Loss: 0.2866, TrainAcc: 0.8893, ValAcc: 0.8669, ES: 00/50 | BestVal=0.8669@E60
Epoch: 70, Time: 0.0201, Loss: 0.2826, TrainAcc: 0.8896, ValAcc: 0.8346, ES: 09/50 | BestVal=0.8674@E61
Epoch: 80, Time: 0.0200, Loss: 0.2562, TrainAcc: 0.9014, ValAcc: 0.8696, ES: 01/50 | BestVal=0.8722@E79
Epoch: 90, Time: 0.0207, Loss: 0.2419, TrainAcc: 0.9073, ValAcc: 0.8565, ES: 02/50 | BestVal=0.8732@E88
Epoch: 100, Time: 0.0202, Loss: 0.2394, TrainAcc: 0.9075, ValAcc: 0.8405, ES: 12/50 | BestVal=0.8732@E88
Epoch: 110, Time: 0.0214, Loss: 0.2219, TrainAcc: 0.9170, ValAcc: 0.8724, ES: 05/50 | BestVal=0.8755@E105
Epoch: 120, Time: 0.0201, Loss: 0.2048, TrainAcc: 0.9234, ValAcc: 0.8458, ES: 09/50 | BestVal=0.8785@E111
Epoch: 130, Time: 0.0201, Loss: 0.2657, TrainAcc: 0.8994, ValAcc: 0.7877, ES: 19/50 | BestVal=0.8785@E111
Epoch: 140, Time: 0.0222, Loss: 0.2296, TrainAcc: 0.9123, ValAcc: 0.8719, ES: 29/50 | BestVal=0.8785@E111
Epoch: 150, Time: 0.0261, Loss: 0.1990, TrainAcc: 0.9254, ValAcc: 0.8823, ES: 00/50 | BestVal=0.8823@E150
Epoch: 160, Time: 0.0213, Loss: 0.1855, TrainAcc: 0.9314, ValAcc: 0.8623, ES: 09/50 | BestVal=0.8874@E151
Epoch: 170, Time: 0.0200, Loss: 0.2449, TrainAcc: 0.9075, ValAcc: 0.8610, ES: 19/50 | BestVal=0.8874@E151
Epoch: 180, Time: 0.0206, Loss: 0.1848, TrainAcc: 0.9332, ValAcc: 0.8836, ES: 29/50 | BestVal=0.8874@E151
Epoch: 190, Time: 0.0205, Loss: 0.1682, TrainAcc: 0.9370, ValAcc: 0.8646, ES: 03/50 | BestVal=0.8963@E187
Finished running train at 05-14 03:29:02, running time = 4.43s.
[MLP + TA] ValAcc: 0.8963, TestAcc: 0.8938
(TA) ValAcc: 0.9044, TestAcc: 0.9021
[{'TA': {'val_acc': 0.8962718742074562, 'test_acc': 0.893762677484787}, 'ensemble': {'val_acc': 0.904387522191225, 'test_acc': 0.902129817444219}}]
Running time: 50.02s
An import exception occurred
loaded dataset: pubmed
Loading pretrained LM features (title and abstract) ...
LM_emb_path: prt_lm/pubmed/Salesforce/SFR-Embedding-Mistral-seed42-dim4096.emb
Embeddings shape: torch.Size([19717, 4096])
Model RevGAT is not supported! Loading MLP ...
Loading model RevGAT...
Number of parameters: 558595
Start running train at 05-14 03:29:13
Epoch: 0, Time: 1.0280, Loss: 1.1125, TrainAcc: 0.3672, ValAcc: 0.4180, ES: 00/50 | BestVal=0.4180@E0
Epoch: 10, Time: 0.0187, Loss: 0.3402, TrainAcc: 0.8698, ValAcc: 0.7832, ES: 02/50 | BestVal=0.8354@E8
Epoch: 20, Time: 0.0243, Loss: 0.2845, TrainAcc: 0.8916, ValAcc: 0.8524, ES: 00/50 | BestVal=0.8524@E20
Epoch: 30, Time: 0.0235, Loss: 0.2313, TrainAcc: 0.9161, ValAcc: 0.8940, ES: 00/50 | BestVal=0.8940@E30
Epoch: 40, Time: 0.0237, Loss: 0.1931, TrainAcc: 0.9285, ValAcc: 0.9064, ES: 00/50 | BestVal=0.9064@E40
Epoch: 50, Time: 0.0206, Loss: 0.1590, TrainAcc: 0.9416, ValAcc: 0.9107, ES: 08/50 | BestVal=0.9125@E42
Epoch: 60, Time: 0.0207, Loss: 0.1378, TrainAcc: 0.9520, ValAcc: 0.8958, ES: 18/50 | BestVal=0.9125@E42
Epoch: 70, Time: 0.0199, Loss: 0.1207, TrainAcc: 0.9565, ValAcc: 0.8912, ES: 28/50 | BestVal=0.9125@E42
Epoch: 80, Time: 0.0201, Loss: 0.1162, TrainAcc: 0.9567, ValAcc: 0.9090, ES: 38/50 | BestVal=0.9125@E42
Epoch: 90, Time: 0.0199, Loss: 0.0936, TrainAcc: 0.9684, ValAcc: 0.9062, ES: 48/50 | BestVal=0.9125@E42
Early stopped, loading model from epoch-42
Finished running train at 05-14 03:29:16, running time = 3.09s.
[RevGAT + TA] ValAcc: 0.9125, TestAcc: 0.9158
Loading pretrained LM features (title and abstract) ...
LM_emb_path: prt_lm/pubmed/Salesforce/SFR-Embedding-Mistral-seed42-dim4096.emb
Embeddings shape: torch.Size([19717, 4096])
Loading model GCN...
Number of parameters: 558595
Start running train at 05-14 03:29:18
Epoch: 0, Time: 0.0668, Loss: 1.5032, TrainAcc: 0.2050, ValAcc: 0.4055, ES: 00/50 | BestVal=0.4055@E0
Epoch: 10, Time: 0.0348, Loss: 0.4673, TrainAcc: 0.8189, ValAcc: 0.6427, ES: 05/50 | BestVal=0.6546@E5
Epoch: 20, Time: 0.0342, Loss: 0.4325, TrainAcc: 0.8321, ValAcc: 0.7974, ES: 02/50 | BestVal=0.8123@E18
Epoch: 30, Time: 0.0414, Loss: 0.4095, TrainAcc: 0.8448, ValAcc: 0.8260, ES: 00/50 | BestVal=0.8260@E30
Epoch: 40, Time: 0.0352, Loss: 0.3843, TrainAcc: 0.8587, ValAcc: 0.8067, ES: 10/50 | BestVal=0.8260@E30
Epoch: 50, Time: 0.0353, Loss: 0.3553, TrainAcc: 0.8701, ValAcc: 0.8197, ES: 20/50 | BestVal=0.8260@E30
Epoch: 60, Time: 0.0396, Loss: 0.3278, TrainAcc: 0.8820, ValAcc: 0.8547, ES: 00/50 | BestVal=0.8547@E60
Epoch: 70, Time: 0.0395, Loss: 0.3038, TrainAcc: 0.8884, ValAcc: 0.8714, ES: 00/50 | BestVal=0.8714@E70
Epoch: 80, Time: 0.0363, Loss: 0.2810, TrainAcc: 0.8984, ValAcc: 0.8679, ES: 03/50 | BestVal=0.8719@E77
Epoch: 90, Time: 0.0409, Loss: 0.2570, TrainAcc: 0.9084, ValAcc: 0.8793, ES: 00/50 | BestVal=0.8793@E90
Epoch: 100, Time: 0.0343, Loss: 0.2793, TrainAcc: 0.9003, ValAcc: 0.8661, ES: 10/50 | BestVal=0.8793@E90
Epoch: 110, Time: 0.0358, Loss: 0.2479, TrainAcc: 0.9101, ValAcc: 0.8623, ES: 04/50 | BestVal=0.8856@E106
Epoch: 120, Time: 0.0355, Loss: 0.2264, TrainAcc: 0.9191, ValAcc: 0.8372, ES: 05/50 | BestVal=0.8892@E115
Epoch: 130, Time: 0.0346, Loss: 0.2120, TrainAcc: 0.9280, ValAcc: 0.8800, ES: 01/50 | BestVal=0.8978@E129
Epoch: 140, Time: 0.0359, Loss: 0.2096, TrainAcc: 0.9271, ValAcc: 0.8466, ES: 11/50 | BestVal=0.8978@E129
Epoch: 150, Time: 0.0347, Loss: 0.1999, TrainAcc: 0.9312, ValAcc: 0.8917, ES: 03/50 | BestVal=0.8986@E147
Epoch: 160, Time: 0.0359, Loss: 0.2014, TrainAcc: 0.9282, ValAcc: 0.8220, ES: 13/50 | BestVal=0.8986@E147
Epoch: 170, Time: 0.0351, Loss: 0.2060, TrainAcc: 0.9275, ValAcc: 0.8633, ES: 23/50 | BestVal=0.8986@E147
Epoch: 180, Time: 0.0353, Loss: 0.1867, TrainAcc: 0.9332, ValAcc: 0.8154, ES: 33/50 | BestVal=0.8986@E147
Epoch: 190, Time: 0.0341, Loss: 0.1720, TrainAcc: 0.9376, ValAcc: 0.7393, ES: 43/50 | BestVal=0.8986@E147
Finished running train at 05-14 03:29:26, running time = 7.31s.
[GCN + TA] ValAcc: 0.8993, TestAcc: 0.9019
Loading pretrained LM features (title and abstract) ...
LM_emb_path: prt_lm/pubmed/Salesforce/SFR-Embedding-Mistral-seed42-dim4096.emb
Embeddings shape: torch.Size([19717, 4096])
Loading model SAGE...
Number of parameters: 1116035
Start running train at 05-14 03:29:28
Epoch: 0, Time: 0.1880, Loss: 1.1187, TrainAcc: 0.4085, ValAcc: 0.4694, ES: 00/50 | BestVal=0.4694@E0
Epoch: 10, Time: 0.1224, Loss: 0.4524, TrainAcc: 0.8232, ValAcc: 0.8027, ES: 00/50 | BestVal=0.8027@E10
Epoch: 20, Time: 0.1258, Loss: 0.3918, TrainAcc: 0.8533, ValAcc: 0.8258, ES: 00/50 | BestVal=0.8258@E20
Epoch: 30, Time: 0.1216, Loss: 0.3476, TrainAcc: 0.8678, ValAcc: 0.8435, ES: 03/50 | BestVal=0.8476@E27
Epoch: 40, Time: 0.1185, Loss: 0.2997, TrainAcc: 0.8840, ValAcc: 0.8506, ES: 01/50 | BestVal=0.8534@E39
Epoch: 50, Time: 0.1136, Loss: 0.2545, TrainAcc: 0.9037, ValAcc: 0.8826, ES: 01/50 | BestVal=0.8828@E49
Epoch: 60, Time: 0.1216, Loss: 0.2169, TrainAcc: 0.9199, ValAcc: 0.8963, ES: 04/50 | BestVal=0.9008@E56
Epoch: 70, Time: 0.1193, Loss: 0.1757, TrainAcc: 0.9347, ValAcc: 0.8902, ES: 14/50 | BestVal=0.9008@E56
Epoch: 80, Time: 0.1360, Loss: 0.1494, TrainAcc: 0.9454, ValAcc: 0.9041, ES: 00/50 | BestVal=0.9041@E80
Epoch: 90, Time: 0.1318, Loss: 0.1236, TrainAcc: 0.9566, ValAcc: 0.9120, ES: 00/50 | BestVal=0.9120@E90
Epoch: 100, Time: 0.1203, Loss: 0.1198, TrainAcc: 0.9573, ValAcc: 0.9054, ES: 10/50 | BestVal=0.9120@E90
Epoch: 110, Time: 0.1209, Loss: 0.0952, TrainAcc: 0.9664, ValAcc: 0.9039, ES: 05/50 | BestVal=0.9122@E105
Epoch: 120, Time: 0.1210, Loss: 0.0759, TrainAcc: 0.9738, ValAcc: 0.9057, ES: 15/50 | BestVal=0.9122@E105
Epoch: 130, Time: 0.1202, Loss: 0.0560, TrainAcc: 0.9820, ValAcc: 0.9090, ES: 04/50 | BestVal=0.9128@E126
Epoch: 140, Time: 0.1232, Loss: 0.0465, TrainAcc: 0.9848, ValAcc: 0.9079, ES: 14/50 | BestVal=0.9128@E126
Epoch: 150, Time: 0.1228, Loss: 0.1479, TrainAcc: 0.9445, ValAcc: 0.8336, ES: 24/50 | BestVal=0.9128@E126
Epoch: 160, Time: 0.1213, Loss: 0.1089, TrainAcc: 0.9622, ValAcc: 0.9072, ES: 34/50 | BestVal=0.9128@E126
Epoch: 170, Time: 0.1205, Loss: 0.0641, TrainAcc: 0.9785, ValAcc: 0.9013, ES: 04/50 | BestVal=0.9150@E166
Epoch: 180, Time: 0.1212, Loss: 0.0546, TrainAcc: 0.9835, ValAcc: 0.9024, ES: 14/50 | BestVal=0.9150@E166
Epoch: 190, Time: 0.1220, Loss: 0.0337, TrainAcc: 0.9904, ValAcc: 0.9064, ES: 24/50 | BestVal=0.9150@E166
Finished running train at 05-14 03:29:52, running time = 24.49s.
[SAGE + TA] ValAcc: 0.9150, TestAcc: 0.9199
Loading pretrained LM features (title and abstract) ...
LM_emb_path: prt_lm/pubmed/Salesforce/SFR-Embedding-Mistral-seed42-dim4096.emb
Embeddings shape: torch.Size([19717, 4096])
Loading model MLP...
Number of parameters: 558595
Start running train at 05-14 03:29:54
Epoch: 0, Time: 0.0373, Loss: 1.1125, TrainAcc: 0.3672, ValAcc: 0.4180, ES: 00/50 | BestVal=0.4180@E0
Epoch: 10, Time: 0.0199, Loss: 0.3402, TrainAcc: 0.8698, ValAcc: 0.7832, ES: 02/50 | BestVal=0.8354@E8
Epoch: 20, Time: 0.0250, Loss: 0.2845, TrainAcc: 0.8916, ValAcc: 0.8524, ES: 00/50 | BestVal=0.8524@E20
Epoch: 30, Time: 0.0246, Loss: 0.2313, TrainAcc: 0.9161, ValAcc: 0.8940, ES: 00/50 | BestVal=0.8940@E30
Epoch: 40, Time: 0.0233, Loss: 0.1931, TrainAcc: 0.9285, ValAcc: 0.9064, ES: 00/50 | BestVal=0.9064@E40
Epoch: 50, Time: 0.0212, Loss: 0.1590, TrainAcc: 0.9416, ValAcc: 0.9107, ES: 08/50 | BestVal=0.9125@E42
Epoch: 60, Time: 0.0195, Loss: 0.1378, TrainAcc: 0.9520, ValAcc: 0.8958, ES: 18/50 | BestVal=0.9125@E42
Epoch: 70, Time: 0.0202, Loss: 0.1207, TrainAcc: 0.9565, ValAcc: 0.8912, ES: 28/50 | BestVal=0.9125@E42
Epoch: 80, Time: 0.0204, Loss: 0.1162, TrainAcc: 0.9567, ValAcc: 0.9090, ES: 38/50 | BestVal=0.9125@E42
Epoch: 90, Time: 0.0198, Loss: 0.0936, TrainAcc: 0.9684, ValAcc: 0.9062, ES: 48/50 | BestVal=0.9125@E42
Early stopped, loading model from epoch-42
Finished running train at 05-14 03:29:57, running time = 2.07s.
[MLP + TA] ValAcc: 0.9125, TestAcc: 0.9158
(TA) ValAcc: 0.9272, TestAcc: 0.9298
[{'TA': {'val_acc': 0.9125031701749936, 'test_acc': 0.9158215010141988}, 'ensemble': {'val_acc': 0.9272127821455745, 'test_acc': 0.9297667342799188}}]
Running time: 50.8s
An import exception occurred
loaded dataset: arxiv_2023
Loading pretrained LM features (title and abstract) ...
LM_emb_path: prt_lm/arxiv_2023/Alibaba-NLP/gte-Qwen1.5-7B-instruct-seed42-dim4096.emb
Embeddings shape: torch.Size([46198, 4096])
Model RevGAT is not supported! Loading MLP ...
Loading model RevGAT...
Number of parameters: 563368
Start running train at 05-14 03:30:06
Epoch: 0, Time: 1.0632, Loss: 3.7682, TrainAcc: 0.0178, ValAcc: 0.2332, ES: 00/50 | BestVal=0.2332@E0
Epoch: 10, Time: 0.0479, Loss: 1.0496, TrainAcc: 0.7312, ValAcc: 0.6991, ES: 00/50 | BestVal=0.6991@E10
Epoch: 20, Time: 0.0524, Loss: 0.8394, TrainAcc: 0.7567, ValAcc: 0.7577, ES: 00/50 | BestVal=0.7577@E20
Epoch: 30, Time: 0.0531, Loss: 0.7412, TrainAcc: 0.7787, ValAcc: 0.7816, ES: 00/50 | BestVal=0.7816@E30
Epoch: 40, Time: 0.0535, Loss: 0.6869, TrainAcc: 0.7918, ValAcc: 0.7913, ES: 00/50 | BestVal=0.7913@E40
Epoch: 50, Time: 0.0505, Loss: 0.6496, TrainAcc: 0.8006, ValAcc: 0.7969, ES: 00/50 | BestVal=0.7969@E50
Epoch: 60, Time: 0.0481, Loss: 0.6222, TrainAcc: 0.8048, ValAcc: 0.7990, ES: 03/50 | BestVal=0.7994@E57
Epoch: 70, Time: 0.0520, Loss: 0.5996, TrainAcc: 0.8092, ValAcc: 0.8038, ES: 00/50 | BestVal=0.8038@E70
Epoch: 80, Time: 0.0549, Loss: 0.5797, TrainAcc: 0.8147, ValAcc: 0.8075, ES: 00/50 | BestVal=0.8075@E80
Epoch: 90, Time: 0.0463, Loss: 0.5608, TrainAcc: 0.8188, ValAcc: 0.8067, ES: 10/50 | BestVal=0.8075@E80
Epoch: 100, Time: 0.0479, Loss: 0.5521, TrainAcc: 0.8204, ValAcc: 0.8064, ES: 20/50 | BestVal=0.8075@E80
Epoch: 110, Time: 0.0466, Loss: 0.5303, TrainAcc: 0.8251, ValAcc: 0.8066, ES: 02/50 | BestVal=0.8082@E108
Epoch: 120, Time: 0.0509, Loss: 0.5191, TrainAcc: 0.8267, ValAcc: 0.8029, ES: 12/50 | BestVal=0.8082@E108
Epoch: 130, Time: 0.0503, Loss: 0.5004, TrainAcc: 0.8338, ValAcc: 0.8049, ES: 22/50 | BestVal=0.8082@E108
Epoch: 140, Time: 0.0471, Loss: 0.5031, TrainAcc: 0.8311, ValAcc: 0.8026, ES: 32/50 | BestVal=0.8082@E108
Epoch: 150, Time: 0.0472, Loss: 0.4725, TrainAcc: 0.8396, ValAcc: 0.8056, ES: 42/50 | BestVal=0.8082@E108
Early stopped, loading model from epoch-108
Finished running train at 05-14 03:30:15, running time = 8.90s.
[RevGAT + TA] ValAcc: 0.8082, TestAcc: 0.8024
Loading pretrained LM features (title and abstract) ...
LM_emb_path: prt_lm/arxiv_2023/Alibaba-NLP/gte-Qwen1.5-7B-instruct-seed42-dim4096.emb
Embeddings shape: torch.Size([46198, 4096])
Loading model GCN...
Number of parameters: 563368
Start running train at 05-14 03:30:17
Epoch: 0, Time: 0.0660, Loss: 3.9755, TrainAcc: 0.0118, ValAcc: 0.0444, ES: 00/50 | BestVal=0.0444@E0
Epoch: 10, Time: 0.0728, Loss: 1.1515, TrainAcc: 0.7194, ValAcc: 0.4358, ES: 00/50 | BestVal=0.4358@E10
Epoch: 20, Time: 0.0712, Loss: 0.9713, TrainAcc: 0.7400, ValAcc: 0.7265, ES: 00/50 | BestVal=0.7265@E20
Epoch: 30, Time: 0.0711, Loss: 0.8897, TrainAcc: 0.7569, ValAcc: 0.7633, ES: 00/50 | BestVal=0.7633@E30
Epoch: 40, Time: 0.0717, Loss: 0.8399, TrainAcc: 0.7656, ValAcc: 0.7719, ES: 00/50 | BestVal=0.7719@E40
Epoch: 50, Time: 0.0739, Loss: 0.8053, TrainAcc: 0.7719, ValAcc: 0.7765, ES: 00/50 | BestVal=0.7765@E50
Epoch: 60, Time: 0.0667, Loss: 0.7776, TrainAcc: 0.7757, ValAcc: 0.7777, ES: 01/50 | BestVal=0.7780@E59
Epoch: 70, Time: 0.0669, Loss: 0.7551, TrainAcc: 0.7797, ValAcc: 0.7793, ES: 01/50 | BestVal=0.7803@E69
Epoch: 80, Time: 0.0705, Loss: 0.7311, TrainAcc: 0.7850, ValAcc: 0.7782, ES: 05/50 | BestVal=0.7823@E75
Epoch: 90, Time: 0.0711, Loss: 0.7176, TrainAcc: 0.7872, ValAcc: 0.7765, ES: 15/50 | BestVal=0.7823@E75
Epoch: 100, Time: 0.0714, Loss: 0.7000, TrainAcc: 0.7907, ValAcc: 0.7775, ES: 25/50 | BestVal=0.7823@E75
Epoch: 110, Time: 0.0716, Loss: 0.6779, TrainAcc: 0.7963, ValAcc: 0.7812, ES: 35/50 | BestVal=0.7823@E75
Epoch: 120, Time: 0.0651, Loss: 0.6587, TrainAcc: 0.7993, ValAcc: 0.7818, ES: 01/50 | BestVal=0.7827@E119
Epoch: 130, Time: 0.0709, Loss: 0.6425, TrainAcc: 0.8046, ValAcc: 0.7815, ES: 02/50 | BestVal=0.7860@E128
Epoch: 140, Time: 0.0659, Loss: 0.6306, TrainAcc: 0.8049, ValAcc: 0.7834, ES: 12/50 | BestVal=0.7860@E128
Epoch: 150, Time: 0.0683, Loss: 0.6366, TrainAcc: 0.8006, ValAcc: 0.7821, ES: 22/50 | BestVal=0.7860@E128
Epoch: 160, Time: 0.0721, Loss: 0.6049, TrainAcc: 0.8108, ValAcc: 0.7794, ES: 32/50 | BestVal=0.7860@E128
Epoch: 170, Time: 0.0696, Loss: 0.5829, TrainAcc: 0.8161, ValAcc: 0.7792, ES: 42/50 | BestVal=0.7860@E128
Early stopped, loading model from epoch-128
Finished running train at 05-14 03:30:29, running time = 12.49s.
[GCN + TA] ValAcc: 0.7860, TestAcc: 0.7777
Loading pretrained LM features (title and abstract) ...
LM_emb_path: prt_lm/arxiv_2023/Alibaba-NLP/gte-Qwen1.5-7B-instruct-seed42-dim4096.emb
Embeddings shape: torch.Size([46198, 4096])
Loading model SAGE...
Number of parameters: 1125544
Start running train at 05-14 03:30:31
Epoch: 0, Time: 0.1765, Loss: 3.7547, TrainAcc: 0.0310, ValAcc: 0.2144, ES: 00/50 | BestVal=0.2144@E0
Epoch: 10, Time: 0.1732, Loss: 1.3615, TrainAcc: 0.6437, ValAcc: 0.6206, ES: 00/50 | BestVal=0.6206@E10
Epoch: 20, Time: 0.1746, Loss: 1.0244, TrainAcc: 0.7270, ValAcc: 0.7141, ES: 00/50 | BestVal=0.7141@E20
Epoch: 30, Time: 0.1776, Loss: 0.8424, TrainAcc: 0.7562, ValAcc: 0.7557, ES: 00/50 | BestVal=0.7557@E30
Epoch: 40, Time: 0.1815, Loss: 0.7529, TrainAcc: 0.7754, ValAcc: 0.7739, ES: 00/50 | BestVal=0.7739@E40
Epoch: 50, Time: 0.1649, Loss: 0.7000, TrainAcc: 0.7885, ValAcc: 0.7812, ES: 01/50 | BestVal=0.7816@E49
Epoch: 60, Time: 0.1749, Loss: 0.6530, TrainAcc: 0.7980, ValAcc: 0.7889, ES: 00/50 | BestVal=0.7889@E60
Epoch: 70, Time: 0.1673, Loss: 0.6252, TrainAcc: 0.8041, ValAcc: 0.7942, ES: 01/50 | BestVal=0.7945@E69
Epoch: 80, Time: 0.1673, Loss: 0.6023, TrainAcc: 0.8105, ValAcc: 0.7974, ES: 05/50 | BestVal=0.7985@E75
Epoch: 90, Time: 0.1806, Loss: 0.5779, TrainAcc: 0.8176, ValAcc: 0.8022, ES: 00/50 | BestVal=0.8022@E90
Epoch: 100, Time: 0.1690, Loss: 0.5622, TrainAcc: 0.8200, ValAcc: 0.8015, ES: 02/50 | BestVal=0.8030@E98
Epoch: 110, Time: 0.1719, Loss: 0.5423, TrainAcc: 0.8259, ValAcc: 0.8009, ES: 09/50 | BestVal=0.8056@E101
Epoch: 120, Time: 0.1672, Loss: 0.5391, TrainAcc: 0.8249, ValAcc: 0.7981, ES: 19/50 | BestVal=0.8056@E101
Epoch: 130, Time: 0.1668, Loss: 0.5211, TrainAcc: 0.8313, ValAcc: 0.7996, ES: 29/50 | BestVal=0.8056@E101
Epoch: 140, Time: 0.1723, Loss: 0.5091, TrainAcc: 0.8328, ValAcc: 0.8006, ES: 39/50 | BestVal=0.8056@E101
Epoch: 150, Time: 0.1673, Loss: 0.5032, TrainAcc: 0.8343, ValAcc: 0.7976, ES: 49/50 | BestVal=0.8056@E101
Early stopped, loading model from epoch-101
Finished running train at 05-14 03:30:57, running time = 26.18s.
[SAGE + TA] ValAcc: 0.8056, TestAcc: 0.7966
Loading pretrained LM features (title and abstract) ...
LM_emb_path: prt_lm/arxiv_2023/Alibaba-NLP/gte-Qwen1.5-7B-instruct-seed42-dim4096.emb
Embeddings shape: torch.Size([46198, 4096])
Loading model MLP...
Number of parameters: 563368
Start running train at 05-14 03:30:59
Epoch: 0, Time: 0.0424, Loss: 3.7682, TrainAcc: 0.0178, ValAcc: 0.2332, ES: 00/50 | BestVal=0.2332@E0
Epoch: 10, Time: 0.0528, Loss: 1.0496, TrainAcc: 0.7312, ValAcc: 0.6991, ES: 00/50 | BestVal=0.6991@E10
Epoch: 20, Time: 0.0474, Loss: 0.8394, TrainAcc: 0.7567, ValAcc: 0.7577, ES: 00/50 | BestVal=0.7577@E20
Epoch: 30, Time: 0.0486, Loss: 0.7412, TrainAcc: 0.7787, ValAcc: 0.7816, ES: 00/50 | BestVal=0.7816@E30
Epoch: 40, Time: 0.0515, Loss: 0.6869, TrainAcc: 0.7918, ValAcc: 0.7913, ES: 00/50 | BestVal=0.7913@E40
Epoch: 50, Time: 0.0547, Loss: 0.6496, TrainAcc: 0.8006, ValAcc: 0.7969, ES: 00/50 | BestVal=0.7969@E50
Epoch: 60, Time: 0.0528, Loss: 0.6222, TrainAcc: 0.8048, ValAcc: 0.7990, ES: 03/50 | BestVal=0.7994@E57
Epoch: 70, Time: 0.0489, Loss: 0.5996, TrainAcc: 0.8092, ValAcc: 0.8038, ES: 00/50 | BestVal=0.8038@E70
Epoch: 80, Time: 0.0541, Loss: 0.5797, TrainAcc: 0.8147, ValAcc: 0.8075, ES: 00/50 | BestVal=0.8075@E80
Epoch: 90, Time: 0.0516, Loss: 0.5608, TrainAcc: 0.8188, ValAcc: 0.8067, ES: 10/50 | BestVal=0.8075@E80
Epoch: 100, Time: 0.0477, Loss: 0.5521, TrainAcc: 0.8204, ValAcc: 0.8064, ES: 20/50 | BestVal=0.8075@E80
Epoch: 110, Time: 0.0502, Loss: 0.5303, TrainAcc: 0.8251, ValAcc: 0.8066, ES: 02/50 | BestVal=0.8082@E108
Epoch: 120, Time: 0.0470, Loss: 0.5191, TrainAcc: 0.8267, ValAcc: 0.8029, ES: 12/50 | BestVal=0.8082@E108
Epoch: 130, Time: 0.0513, Loss: 0.5004, TrainAcc: 0.8338, ValAcc: 0.8049, ES: 22/50 | BestVal=0.8082@E108
Epoch: 140, Time: 0.0465, Loss: 0.5031, TrainAcc: 0.8311, ValAcc: 0.8026, ES: 32/50 | BestVal=0.8082@E108
Epoch: 150, Time: 0.0475, Loss: 0.4725, TrainAcc: 0.8396, ValAcc: 0.8056, ES: 42/50 | BestVal=0.8082@E108
Early stopped, loading model from epoch-108
Finished running train at 05-14 03:31:07, running time = 8.01s.
[MLP + TA] ValAcc: 0.8082, TestAcc: 0.8024
(TA) ValAcc: 0.8124, TestAcc: 0.8075
[{'TA': {'val_acc': 0.8082251082251082, 'test_acc': 0.8023809523809524}, 'ensemble': {'val_acc': 0.8124458874458874, 'test_acc': 0.8074675324675324}}]
Running time: 66.29s
An import exception occurred
loaded dataset: arxiv_2023
Loading pretrained LM features (title and abstract) ...
LM_emb_path: prt_lm/arxiv_2023/Salesforce/SFR-Embedding-Mistral-seed42-dim4096.emb
Embeddings shape: torch.Size([46198, 4096])
Model RevGAT is not supported! Loading MLP ...
Loading model RevGAT...
Number of parameters: 563368
Start running train at 05-14 03:31:17
Epoch: 0, Time: 1.0660, Loss: 3.7449, TrainAcc: 0.0131, ValAcc: 0.2332, ES: 00/50 | BestVal=0.2332@E0
Epoch: 10, Time: 0.0472, Loss: 1.0382, TrainAcc: 0.7309, ValAcc: 0.6391, ES: 00/50 | BestVal=0.6391@E10
Epoch: 20, Time: 0.0524, Loss: 0.8250, TrainAcc: 0.7575, ValAcc: 0.7471, ES: 00/50 | BestVal=0.7471@E20
Epoch: 30, Time: 0.0523, Loss: 0.7238, TrainAcc: 0.7810, ValAcc: 0.7816, ES: 00/50 | BestVal=0.7816@E30
Epoch: 40, Time: 0.0477, Loss: 0.6520, TrainAcc: 0.7977, ValAcc: 0.7916, ES: 00/50 | BestVal=0.7916@E40
Epoch: 50, Time: 0.0433, Loss: 0.6017, TrainAcc: 0.8095, ValAcc: 0.7972, ES: 01/50 | BestVal=0.7979@E49
Epoch: 60, Time: 0.0468, Loss: 0.5600, TrainAcc: 0.8201, ValAcc: 0.8014, ES: 00/50 | BestVal=0.8014@E60
Epoch: 70, Time: 0.0463, Loss: 0.5215, TrainAcc: 0.8299, ValAcc: 0.7999, ES: 06/50 | BestVal=0.8025@E64
Epoch: 80, Time: 0.0474, Loss: 0.4813, TrainAcc: 0.8402, ValAcc: 0.7962, ES: 16/50 | BestVal=0.8025@E64
Epoch: 90, Time: 0.0499, Loss: 0.4609, TrainAcc: 0.8437, ValAcc: 0.7790, ES: 26/50 | BestVal=0.8025@E64
Epoch: 100, Time: 0.0461, Loss: 0.4330, TrainAcc: 0.8549, ValAcc: 0.7904, ES: 36/50 | BestVal=0.8025@E64
Epoch: 110, Time: 0.0478, Loss: 0.3673, TrainAcc: 0.8763, ValAcc: 0.7843, ES: 46/50 | BestVal=0.8025@E64
Early stopped, loading model from epoch-64
Finished running train at 05-14 03:31:23, running time = 6.72s.
[RevGAT + TA] ValAcc: 0.8025, TestAcc: 0.7957
Loading pretrained LM features (title and abstract) ...
LM_emb_path: prt_lm/arxiv_2023/Salesforce/SFR-Embedding-Mistral-seed42-dim4096.emb
Embeddings shape: torch.Size([46198, 4096])
Loading model GCN...
Number of parameters: 563368
Start running train at 05-14 03:31:25
Epoch: 0, Time: 0.0714, Loss: 3.7190, TrainAcc: 0.0521, ValAcc: 0.3266, ES: 00/50 | BestVal=0.3266@E0
Epoch: 10, Time: 0.0666, Loss: 1.1260, TrainAcc: 0.7159, ValAcc: 0.4618, ES: 04/50 | BestVal=0.4650@E6
Epoch: 20, Time: 0.0705, Loss: 0.9346, TrainAcc: 0.7418, ValAcc: 0.7166, ES: 00/50 | BestVal=0.7166@E20
Epoch: 30, Time: 0.0705, Loss: 0.8383, TrainAcc: 0.7635, ValAcc: 0.7491, ES: 00/50 | BestVal=0.7491@E30
Epoch: 40, Time: 0.0698, Loss: 0.7730, TrainAcc: 0.7753, ValAcc: 0.7656, ES: 00/50 | BestVal=0.7656@E40
Epoch: 50, Time: 0.0711, Loss: 0.7241, TrainAcc: 0.7856, ValAcc: 0.7766, ES: 00/50 | BestVal=0.7766@E50
Epoch: 60, Time: 0.0694, Loss: 0.6791, TrainAcc: 0.7940, ValAcc: 0.7753, ES: 07/50 | BestVal=0.7766@E53
Epoch: 70, Time: 0.0740, Loss: 0.6505, TrainAcc: 0.8032, ValAcc: 0.7788, ES: 00/50 | BestVal=0.7788@E70
Epoch: 80, Time: 0.0661, Loss: 0.5972, TrainAcc: 0.8156, ValAcc: 0.7751, ES: 05/50 | BestVal=0.7810@E75
Epoch: 90, Time: 0.0684, Loss: 0.5523, TrainAcc: 0.8266, ValAcc: 0.7659, ES: 15/50 | BestVal=0.7810@E75
Epoch: 100, Time: 0.0686, Loss: 0.5083, TrainAcc: 0.8374, ValAcc: 0.7627, ES: 25/50 | BestVal=0.7810@E75
Epoch: 110, Time: 0.0678, Loss: 0.4863, TrainAcc: 0.8423, ValAcc: 0.7589, ES: 35/50 | BestVal=0.7810@E75
Epoch: 120, Time: 0.0676, Loss: 0.4263, TrainAcc: 0.8621, ValAcc: 0.7529, ES: 45/50 | BestVal=0.7810@E75
Early stopped, loading model from epoch-75
Finished running train at 05-14 03:31:34, running time = 8.72s.
[GCN + TA] ValAcc: 0.7810, TestAcc: 0.7755
Loading pretrained LM features (title and abstract) ...
LM_emb_path: prt_lm/arxiv_2023/Salesforce/SFR-Embedding-Mistral-seed42-dim4096.emb
Embeddings shape: torch.Size([46198, 4096])
Loading model SAGE...
Number of parameters: 1125544
Start running train at 05-14 03:31:35
Epoch: 0, Time: 0.1754, Loss: 3.7387, TrainAcc: 0.0272, ValAcc: 0.2173, ES: 00/50 | BestVal=0.2173@E0
Epoch: 10, Time: 0.1745, Loss: 1.3652, TrainAcc: 0.6380, ValAcc: 0.6123, ES: 00/50 | BestVal=0.6123@E10
Epoch: 20, Time: 0.1765, Loss: 1.0867, TrainAcc: 0.7065, ValAcc: 0.6865, ES: 00/50 | BestVal=0.6865@E20
Epoch: 30, Time: 0.1744, Loss: 0.8904, TrainAcc: 0.7413, ValAcc: 0.7355, ES: 00/50 | BestVal=0.7355@E30
Epoch: 40, Time: 0.1793, Loss: 0.7758, TrainAcc: 0.7644, ValAcc: 0.7553, ES: 00/50 | BestVal=0.7553@E40
Epoch: 50, Time: 0.1838, Loss: 0.6991, TrainAcc: 0.7853, ValAcc: 0.7787, ES: 00/50 | BestVal=0.7787@E50
Epoch: 60, Time: 0.1822, Loss: 0.6492, TrainAcc: 0.7971, ValAcc: 0.7860, ES: 00/50 | BestVal=0.7860@E60
Epoch: 70, Time: 0.1664, Loss: 0.6050, TrainAcc: 0.8071, ValAcc: 0.7905, ES: 01/50 | BestVal=0.7910@E69
Epoch: 80, Time: 0.1651, Loss: 0.5629, TrainAcc: 0.8196, ValAcc: 0.7943, ES: 01/50 | BestVal=0.7950@E79
Epoch: 90, Time: 0.1707, Loss: 0.5550, TrainAcc: 0.8184, ValAcc: 0.7815, ES: 07/50 | BestVal=0.7952@E83
Epoch: 100, Time: 0.1755, Loss: 0.5056, TrainAcc: 0.8366, ValAcc: 0.7868, ES: 17/50 | BestVal=0.7952@E83
Epoch: 110, Time: 0.1774, Loss: 0.4682, TrainAcc: 0.8470, ValAcc: 0.7877, ES: 27/50 | BestVal=0.7952@E83
Epoch: 120, Time: 0.1751, Loss: 0.4491, TrainAcc: 0.8531, ValAcc: 0.7818, ES: 37/50 | BestVal=0.7952@E83
Epoch: 130, Time: 0.1753, Loss: 0.4117, TrainAcc: 0.8645, ValAcc: 0.7871, ES: 47/50 | BestVal=0.7952@E83
Early stopped, loading model from epoch-83
Finished running train at 05-14 03:31:58, running time = 23.27s.
[SAGE + TA] ValAcc: 0.7952, TestAcc: 0.7931
Loading pretrained LM features (title and abstract) ...
LM_emb_path: prt_lm/arxiv_2023/Salesforce/SFR-Embedding-Mistral-seed42-dim4096.emb
Embeddings shape: torch.Size([46198, 4096])
Loading model MLP...
Number of parameters: 563368
Start running train at 05-14 03:32:00
Epoch: 0, Time: 0.0460, Loss: 3.7449, TrainAcc: 0.0131, ValAcc: 0.2332, ES: 00/50 | BestVal=0.2332@E0
Epoch: 10, Time: 0.0514, Loss: 1.0382, TrainAcc: 0.7309, ValAcc: 0.6391, ES: 00/50 | BestVal=0.6391@E10
Epoch: 20, Time: 0.0512, Loss: 0.8250, TrainAcc: 0.7575, ValAcc: 0.7471, ES: 00/50 | BestVal=0.7471@E20
Epoch: 30, Time: 0.0514, Loss: 0.7238, TrainAcc: 0.7810, ValAcc: 0.7816, ES: 00/50 | BestVal=0.7816@E30
Epoch: 40, Time: 0.0530, Loss: 0.6520, TrainAcc: 0.7977, ValAcc: 0.7916, ES: 00/50 | BestVal=0.7916@E40
Epoch: 50, Time: 0.0469, Loss: 0.6017, TrainAcc: 0.8095, ValAcc: 0.7972, ES: 01/50 | BestVal=0.7979@E49
Epoch: 60, Time: 0.0484, Loss: 0.5600, TrainAcc: 0.8201, ValAcc: 0.8014, ES: 00/50 | BestVal=0.8014@E60
Epoch: 70, Time: 0.0487, Loss: 0.5215, TrainAcc: 0.8299, ValAcc: 0.7999, ES: 06/50 | BestVal=0.8025@E64
Epoch: 80, Time: 0.0524, Loss: 0.4813, TrainAcc: 0.8402, ValAcc: 0.7962, ES: 16/50 | BestVal=0.8025@E64
Epoch: 90, Time: 0.0537, Loss: 0.4609, TrainAcc: 0.8437, ValAcc: 0.7790, ES: 26/50 | BestVal=0.8025@E64
Epoch: 100, Time: 0.0524, Loss: 0.4330, TrainAcc: 0.8549, ValAcc: 0.7904, ES: 36/50 | BestVal=0.8025@E64
Epoch: 110, Time: 0.0531, Loss: 0.3673, TrainAcc: 0.8763, ValAcc: 0.7843, ES: 46/50 | BestVal=0.8025@E64
Early stopped, loading model from epoch-64
Finished running train at 05-14 03:32:06, running time = 5.97s.
[MLP + TA] ValAcc: 0.8025, TestAcc: 0.7957
(TA) ValAcc: 0.8053, TestAcc: 0.8044
[{'TA': {'val_acc': 0.8024891774891775, 'test_acc': 0.7956709956709956}, 'ensemble': {'val_acc': 0.8053030303030303, 'test_acc': 0.8044372294372294}}]
Running time: 55.05s
An import exception occurred
loaded dataset: ogbn-arxiv
Loading pretrained LM features (title and abstract) ...
LM_emb_path: prt_lm/ogbn-arxiv/Alibaba-NLP/gte-Qwen1.5-7B-instruct-seed42-dim4096.emb
An import exception occurred
loaded dataset: ogbn-arxiv
Loading pretrained LM features (title and abstract) ...
LM_emb_path: prt_lm/ogbn-arxiv/Salesforce/SFR-Embedding-Mistral-seed42-dim4096.emb