Hugging Face's logo

WaitXian
/
liqi

Model card Files
xet
 Community
liqi
File size: 273,665 Bytes
0ab2566
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
1001
1002
1003
1004
1005
1006
1007
1008
1009
1010
1011
1012
1013
1014
1015
1016
1017
1018
1019
1020
1021
1022
1023
1024
1025
1026
1027
1028
1029
1030
1031
1032
1033
1034
1035
1036
1037
1038
1039
1040
1041
1042
1043
1044
1045
1046
1047
1048
1049
1050
1051
1052
1053
1054
1055
1056
1057
1058
1059
1060
1061
1062
1063
1064
1065
1066
1067
1068
1069
1070
1071
1072
1073
1074
1075
1076
1077
1078
1079
1080
1081
1082
1083
1084
1085
1086
1087
1088
1089
1090
1091
1092
1093
+ NUM_GPUS=4
+ DISTRIBUTED_ARGS='
    --nnodes=1     --nproc_per_node 4     --rdzv_backend c10d     --rdzv_endpoint localhost:0 '
+ MODEL_ID=qwen3vl
+ MODEL_LOCAL_PATH=/data/oss_bucket_0/peifeng/vlm2vec/models/qwen/Qwen3-VL-Embedding-2B/
+ EMBED_DIM=2048
+ DATA_PATH=/data/oss_bucket_0/liqi/dataset/embedding_pf/cot_output_new/dapei_train_cot.json
+ MAX_LINES=10000
+ IMAGE_TYPE=both
+ INFONCE_WEIGHT=1.0
+ COT_WEIGHT=1.0
+ TEMPERATURE=0.02
+ NEG_GATHER_SIZE=4
+ MAX_COT_LENGTH=192
+ DOC_APPEND_EOS=False
+ USE_WANDB=False
+ WANDB_MODE=online
+ TRAIN_VISION_ENCODER=False
+ USE_VISION_LORA=False
+ TRAIN_LLM=True
+ USE_LORA=True
+ Q_LORA=False
+ LORA_R=128
+ LORA_ALPHA=256
+ TRAIN_LM_HEAD=True
+ DS_STAGE=zero2
+ PER_DEVICE_BATCH_SIZE=4
+ GRAD_ACCUM=1
+ NUM_EPOCHS=5
+ SAVE_STEPS=200
+ LR=1e-5
+ MODEL_MAX_LEN=768
+ OUTPUT_DIR=/data/oss_bucket_0/liqi/cot_embedding/local_train/dapei_lora128_cot_embedding_debug
+ RUN_ID=qwen3vl_cot_embedding_debug
+ RESUME=True
+ echo 'begin training!'
begin training!
+ torchrun --nnodes=1 --nproc_per_node 4 --rdzv_backend c10d --rdzv_endpoint localhost:0 train_cot/train_tuwen_qwen3vl_cot.py --model_id qwen3vl --data_path /data/oss_bucket_0/liqi/dataset/embedding_pf/cot_output_new/dapei_train_cot.json --max_lines 10000 --output_dir /data/oss_bucket_0/liqi/cot_embedding/local_train/dapei_lora128_cot_embedding_debug/qwen3vl_cot_embedding_debug --report_to tensorboard --run_name qwen3vl_cot_embedding_debug --deepspeed ./ds_configs/zero2.json --bf16 True --num_train_epochs 5 --per_device_train_batch_size 4 --per_device_eval_batch_size 12 --gradient_accumulation_steps 1 --eval_strategy no --save_strategy steps --save_total_limit 200 --learning_rate 1e-5 --weight_decay 0. --warmup_ratio 0.03 --lr_scheduler_type constant_with_warmup --logging_steps 10 --tf32 True --model_max_length 768 --gradient_checkpointing False --dataloader_num_workers 0 --train_vision_encoder False --use_vision_lora False --use_lora True --q_lora False --lora_r 128 --lora_alpha 256 --model_local_path /data/oss_bucket_0/peifeng/vlm2vec/models/qwen/Qwen3-VL-Embedding-2B/ --use_flash_attn True --save_steps 200 --stage classify --embed_dim 2048 --resume_from_checkpoint True --image_type both --train_llm True --train_lm_head True --infonce_weight 1.0 --cot_weight 1.0 --temperature 0.02 --neg_gather_size 4 --max_cot_length 192 --doc_append_eos False --use_wandb False --wandb_mode online
Supported flash-attn versions are >= 2.1.1, <= 2.8.3. Found flash-attn 2.8.4.
Supported flash-attn versions are >= 2.1.1, <= 2.8.3. Found flash-attn 2.8.4.
Supported flash-attn versions are >= 2.1.1, <= 2.8.3. Found flash-attn 2.8.4.
Supported flash-attn versions are >= 2.1.1, <= 2.8.3. Found flash-attn 2.8.4.
/mnt/workspace/liqi/multi_vlm2vec_train/train_cot/../loaders/__init__.py:15: UserWarning: tbstars_ecom_emb loader unavailable (skipped): cannot import name 'is_torch_sdpa_available' from 'transformers.utils' (/opt/venv/python3.13.12/lib/python3.13/site-packages/transformers/utils/__init__.py)
  warnings.warn(f"tbstars_ecom_emb loader unavailable (skipped): {e}")
/mnt/workspace/liqi/multi_vlm2vec_train/train_cot/../utils/supported_models.py:51: UserWarning: Loader not found for model family: tbstars_ecom_emb_3b, it will be unavailable
  warnings.warn(f"Loader not found for model family: {model_family_id}, it will be unavailable")
/mnt/workspace/liqi/multi_vlm2vec_train/train_cot/../loaders/__init__.py:15: UserWarning: tbstars_ecom_emb loader unavailable (skipped): cannot import name 'is_torch_sdpa_available' from 'transformers.utils' (/opt/venv/python3.13.12/lib/python3.13/site-packages/transformers/utils/__init__.py)
  warnings.warn(f"tbstars_ecom_emb loader unavailable (skipped): {e}")
/mnt/workspace/liqi/multi_vlm2vec_train/train_cot/../utils/supported_models.py:51: UserWarning: Loader not found for model family: tbstars_ecom_emb_3b, it will be unavailable
  warnings.warn(f"Loader not found for model family: {model_family_id}, it will be unavailable")
/mnt/workspace/liqi/multi_vlm2vec_train/train_cot/../loaders/__init__.py:15: UserWarning: tbstars_ecom_emb loader unavailable (skipped): cannot import name 'is_torch_sdpa_available' from 'transformers.utils' (/opt/venv/python3.13.12/lib/python3.13/site-packages/transformers/utils/__init__.py)
  warnings.warn(f"tbstars_ecom_emb loader unavailable (skipped): {e}")
/mnt/workspace/liqi/multi_vlm2vec_train/train_cot/../loaders/__init__.py:15: UserWarning: tbstars_ecom_emb loader unavailable (skipped): cannot import name 'is_torch_sdpa_available' from 'transformers.utils' (/opt/venv/python3.13.12/lib/python3.13/site-packages/transformers/utils/__init__.py)
  warnings.warn(f"tbstars_ecom_emb loader unavailable (skipped): {e}")
/mnt/workspace/liqi/multi_vlm2vec_train/train_cot/../utils/supported_models.py:51: UserWarning: Loader not found for model family: tbstars_ecom_emb_3b, it will be unavailable
  warnings.warn(f"Loader not found for model family: {model_family_id}, it will be unavailable")
/mnt/workspace/liqi/multi_vlm2vec_train/train_cot/../utils/supported_models.py:51: UserWarning: Loader not found for model family: tbstars_ecom_emb_3b, it will be unavailable
  warnings.warn(f"Loader not found for model family: {model_family_id}, it will be unavailable")
warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO ENV/Plugin: Could not find: libnccl-env.so
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Bootstrap: Using eth0:33.110.226.103<0>
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO ACCL_TUNING_LEVEL=2
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO cudaDriverVersion 13010
warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO NCCL version 2.29.2.18-accl-n+cuda13.1, COMMIT_ID , BUILD_TIME 2026-02-25 20:37:33
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO NCCL git version unknown unknown
warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO ENV/Plugin: Could not find: libnccl-env.so
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO cudaDriverVersion 13010
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Comm config Blocking set to 1
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO C4 stats mode none, reduce 1, send/recv 0.
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Bootstrap: Using eth0:33.110.226.103<0>
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO ACCL_TUNING_LEVEL=2
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO NCCL version 2.29.2.18-accl-n+cuda13.1, COMMIT_ID , BUILD_TIME 2026-02-25 20:37:33
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO NCCL git version unknown unknown
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Comm config Blocking set to 1
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO C4 stats mode none, reduce 1, send/recv 0.
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO ENV/Plugin: Could not find: libnccl-env.so
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO cudaDriverVersion 13010
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Bootstrap: Using eth0:33.110.226.103<0>
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO ACCL_TUNING_LEVEL=2
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO NCCL version 2.29.2.18-accl-n+cuda13.1, COMMIT_ID , BUILD_TIME 2026-02-25 20:37:33
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO NCCL git version unknown unknown
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Comm config Blocking set to 1
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO C4 stats mode none, reduce 1, send/recv 0.
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO ENV/Plugin: Could not find: libnccl-env.so
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO cudaDriverVersion 13010
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Bootstrap: Using eth0:33.110.226.103<0>
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO ACCL_TUNING_LEVEL=2
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO NCCL version 2.29.2.18-accl-n+cuda13.1, COMMIT_ID , BUILD_TIME 2026-02-25 20:37:33
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO NCCL git version unknown unknown
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Comm config Blocking set to 1
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO C4 stats mode none, reduce 1, send/recv 0.
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO NCCL_NET_PLUGIN set by environment to none
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO NCCL_NET_PLUGIN set by environment to none
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO NET/IB : No device found.
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO NET/IB : Using [RO]; OOB eth0:33.110.226.103<0>
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Failed to initialize NET plugin IB
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO NET/IB : No device found.
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO NET/IB : Using [RO]; OOB eth0:33.110.226.103<0>
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Failed to initialize NET plugin IB
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO NET/Socket : Using [0]eth0:33.110.226.103<0>
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO NET/Socket : Using [0]eth0:33.110.226.103<0>
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Initialized NET plugin Socket
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Initialized NET plugin Socket
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Assigned NET plugin Socket to comm
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Using network Socket
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Assigned NET plugin Socket to comm
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Using network Socket
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO NCCL_NET_PLUGIN set by environment to none
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO NET/IB : No device found.
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO NET/IB : Using [RO]; OOB eth0:33.110.226.103<0>
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Failed to initialize NET plugin IB
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO NET/Socket : Using [0]eth0:33.110.226.103<0>
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Initialized NET plugin Socket
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Assigned NET plugin Socket to comm
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Using network Socket
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO NCCL_NET_PLUGIN set by environment to none
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO NET/IB : No device found.
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO NET/IB : Using [RO]; OOB eth0:33.110.226.103<0>
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Failed to initialize NET plugin IB
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO NET/Socket : Using [0]eth0:33.110.226.103<0>
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Initialized NET plugin Socket
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Assigned NET plugin Socket to comm
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Using network Socket
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO [Rank 0] ncclCommInitRankConfig comm 0x11ea92f0 rank 0 nranks 4 cudaDev 0 nvmlDev 0 busId 89000 commId 0x84a1fba13acef023 commHash 9557196554151850019 - Init START
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO [Rank 2] ncclCommInitRankConfig comm 0x11eca310 rank 2 nranks 4 cudaDev 2 nvmlDev 2 busId b2000 commId 0x84a1fba13acef023 commHash 9557196554151850019 - Init START
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO [Rank 3] ncclCommInitRankConfig comm 0x11eacf80 rank 3 nranks 4 cudaDev 3 nvmlDev 3 busId b8000 commId 0x84a1fba13acef023 commHash 9557196554151850019 - Init START
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO RAS client listening socket at 127.0.0.1<28028>
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO [Rank 1] ncclCommInitRankConfig comm 0x11ecb740 rank 1 nranks 4 cudaDev 1 nvmlDev 1 busId 8e000 commId 0x84a1fba13acef023 commHash 9557196554151850019 - Init START
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO RAS client listening socket at 127.0.0.1<28028>
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO RAS client listening socket at 127.0.0.1<28028>
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO RAS client listening socket at 127.0.0.1<28028>
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Bootstrap timings total 0.012297 (create 0.000029, send 0.000117, recv 0.011052, ring 0.000807, delay 0.000007)
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Bootstrap timings total 0.011394 (create 0.000021, send 0.000115, recv 0.000141, ring 0.010813, delay 0.000003)
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO gTaskid = 67e26e210000679c.
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO gTaskid = 67e26e210000679c.
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Bootstrap timings total 0.011877 (create 0.000021, send 0.000115, recv 0.000546, ring 0.000758, delay 0.000004)
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Bootstrap timings total 0.001388 (create 0.000036, send 0.000132, renotebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO gTaskid = 67e26e210000679c.
cv 0.000173, ring 0.000725, delay 0.000004)
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO gTaskid = 67e26e210000679c.
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO hpn_license_register fail: Error occurred during zmq_msg_recv(): Resource temporarily unavailable.

notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO hpn_license_register fail: Error occurred during zmq_msg_recv(): Resnotebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO hpn_license_register fail: Error occurred during zmq_msg_recv(): Resource temporarily unavailable.

ource temporarily unavailable.

notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO hpn_license_register fail: Error occurred during zmq_msg_recv(): Resource temporarily unavailable.

notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO ncclTopoGetCpuAffinity: Affinity for GPU 0 is 44-47,52-53,59-62,108-111,116-117,123-126. (GPU affinity = 32-63,96-127 ; CPU affinity = 14-31,44-47,52-53,59-62,78-95,108-111,116-117,123-126).
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO NVLS multicast support is not available on dev 0 (NVLS_NCHANNELS 0)
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO ncclTopoGetCpuAffinity: Affinity for GPU 3 is 44-47,52-53,59-62,108-111,116-117,123-126. (GPU affinity = 32-63,96-127 ; CPU affinity = 14-31,44-47,52-53,59-62,78-95,108-111,116-117,123-126).
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO NVLS multicast support is not available on dev 3 (NVLS_NCHANNELS 0)
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO ncclTopoGetCpuAffinity: Affinity for GPU 2 is 44-47,52-53,59-62,108-111,116-117,123-126. (GPU affinity = 32-63,96-127 ; CPU affinity = 14-31,44-47,52-53,59-62,78-95,108-111,116-117,123-126).
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO NVLS multicast support is not available on dev 2 (NVLS_NCHANNELS 0)
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO ncclTopoGetCpuAffinity: Affinity for GPU 1 is 44-47,52-53,59-62,108-111,116-117,123-126. (GPU affinity = 32-63,96-127 ; CPU affinity = 14-31,44-47,52-53,59-62,78-95,108-111,116-117,123-126).
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO NVLS multicast support is not available on dev 1 (NVLS_NCHANNELS 0)
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO comm 0x11eacf80 rank 3 nRanks 4 nNodes 1 localRanks 4 localRank 3 MNnotebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO comm 0x11ea92f0 rank 0 nRanks 4 nNodes 1 localRanks 4 localRank 0 MNNVL 0
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO comm 0x11eca310 rank 2 nRanks 4 nNodes 1 localRanks 4 localRank 2 MNNVL 0
NVL 0
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 00/16 : 0 1 3 2
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 01/16 : 0 1 3 2
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 02/16 : 0 1 3 2
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 03/16 : 0 1 3 2
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 04/16 : 0 1 3 2
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 05/16 : 0 1 3 2
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 06/16 : 0 1 3 2
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 07/16 : 0 1 3 2
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 08/16 : 0 1 3 2
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 09/16 : 0 1 3 2
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 10/16 : 0 1 3 2
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 11/16 : 0 1 3 2
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO comm 0x11ecb740 rank 1 nRanks 4 nNodes 1 localRanks 4 localRank 1 MNnotebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 12/16 : 0 1 3 2
NVL 0
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 13/16 : 0 1 3 2
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 14/16 : 0 1 3 2
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 15/16 : 0 1 3 2
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Trees [0] -1/-1/-1->2->3 [1] -1/-1/-1->2->3 [2] -1/-1/-1->2->3 [3] -1/-1/-1->2->3 [4] -1/-1/-1->2->3 [5] -1/-1/-1->2->3 [6] -1/-1/-1->2->3 [7] -1/-1/-1->2->3 [8] -1/-1/-1->2->3 [9] -1/-1/-1->2->3 [10] -1/-1/-1->2->3 [11] -1/-1/-1->2->3 [12] -1/-1/-1->2->3 [13] -1/-1/-1->2->3 [14] -1/-1/-1->2->3 [15] -1/-1/-1->2->3
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Trees [0] 2/-1/-1->3->1 [1] 2/-1/-1->3->1 [2] 2/-1/-1->3->1 [3] 2/-1/-1->3->1 [4] 2/-1/-1->3->1 [5] 2/-1/-1->3->1 [6] 2/-1/-1->3->1 [7] 2/-1/-1->3->1 [8] 2/-1/-1->3->1 [9] 2/-1/-1->3->1 [10] 2/-1/-1->3->1 [11] 2/-1/-1->3->1 [12] 2/-1/-1->3->1 [13] 2/-1/-1->3->1 [14] 2/-1/-1->3->1 [15] 2/-1/-1->3->1
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO P2P Chunksize set to 524288
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO P2P Chunksize set to 524288
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Trees [0] 1/-1/-1->0->-1 [1] 1/-1/-1->0->-1 [2] 1/-1/-1->0->-1 [3] 1/-1/-1->0->-1 [4] 1/-1/-1->0->-1 [5] 1/-1/-1->0->-1 [6] 1/-1/-1->0->-1 [7] 1/-1/-1->0->-1 [8] 1/-1/-1->0->-1 [9] 1/-1/-1->0->-1 [10] 1/-1/-1->0->-1 [11] 1/-1/-1->0->-1 [12] 1/-1/-1->0->-1 [13] 1/-1/-1->0->-1 [14] 1/-1/-1->0->-1 [15] 1/-1/-1->0->-1
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO P2P Chunksize set to 524288
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Trees [0] 3/-1/-1->1->0 [1] 3/-1/-1->1->0 [2] 3/-1/-1->1->0 [3] 3/-1/-1->1->0 [4] 3/-1/-1->1->0 [5] 3/-1/-1->1->0 [6] 3/-1/-1->1->0 [7] 3/-1/-1->1->0 [8] 3/-1/-1->1->0 [9] 3/-1/-1->1->0 [10] 3/-1/-1->1->0 [11] 3/-1/-1->1->0 [12] 3/-1/-1->1->0 [13] 3/-1/-1->1->0 [14] 3/-1/-1->1->0 [15] 3/-1/-1->1->0
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO P2P Chunksize set to 524288
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO PROFILER/Plugin: Could not find: libnccl-profiler.so
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO PROFILER/Plugin: Could not find: libnccl-profiler.so
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO PROFILER/Plugin: Could not find: libnccl-profiler.so
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Check P2P Type isAllDirectP2p 1 directMode 0 isAllCudaP2p 1
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Check P2P Type isAllDirectP2p 1 directMode 0 isAllCudaP2p 1
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Check P2P Type isAllDirectP2p 1 directMode 0 isAllCudaP2p 1
notebook-622b7fa0e0f7-worker-0:259326:259825 [0]  NCCL INFO [Proxy Service] Device 2 CPU core 62
notebook-622b7fa0e0f7-worker-0:259324:259826 [0]  NCCL INFO [Proxy Service] Device 0 CPU core 126
notebook-622b7fa0e0f7-worker-0:259327:259829 [0]  NCCL INFO [Proxy Service UDS] Device 3 CPU core 110
notebook-622b7fa0e0f7-worker-0:259327:259824 [0]  NCCL INFO [Proxy Service] Device 3 CPU core 62
notebook-622b7fa0e0f7-worker-0:259326:259827 [0]  NCCL INFO [Proxy Service UDS] Device 2 CPU core 109
notebook-622b7fa0e0f7-worker-0:259324:259828 [0]  NCCL INFO [Proxy Service UDS] Device 0 CPU core 45
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO PROFILER/Plugin: Could not find: libnccl-profiler.so
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Check P2P Type isAllDirectP2p 1 directMode 0 isAllCudaP2p 1
notebook-622b7fa0e0f7-worker-0:259325:259830 [0]  NCCL INFO [Proxy Service] Device 1 CPU core 45
notebook-622b7fa0e0f7-worker-0:259325:259831 [0]  NCCL INFO [Proxy Service UDS] Device 1 CPU core 46
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO TUNER/Plugin: Could not find: libnccl-tuner.so
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO threadThresholds 8/8/64 | 32/8/64 | 512 | 512
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO 16 coll channels, 16 collnet channels, 0 nvls channels, 16 p2p channels, 16 p2p channels per peer
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO TUNER/Plugin: Could not find: libnccl-tuner.so
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO TUNER/Plugin: Could not find: libnccl-tuner.so
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO threadThresholds 8/8/64 | 32/8/64 | 512 | 512
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO 16 coll channels, 16 collnet channels, 0 nvls channels, 16 p2p channels, 16 p2p channels per peer
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO threadThresholds 8/8/64 | 32/8/64 | 512 | 512
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO 16 coll channels, 16 collnet channels, 0 nvls channels, 16 p2p channels, 16 p2p channels per peer
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO CC Off, workFifoBytes 1048576
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO TUNER/Plugin: Could not find: libnccl-tuner.so
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO threadThresholds 8/8/64 | 32/8/64 | 512 | 512
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO 16 coll channels, 16 collnet channels, 0 nvls channels, 16 p2p channels, 16 p2p channels per peer
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO ncclCommInitRankConfig comm 0x11ea92f0 rank 0 nranks 4 cudaDev 0 nvmnotebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO ncclCommInitRankConfig comm 0x11eca310 rank 2 nranks 4 cudaDev 2 nvmlDev 0 busId 89000 commId 0x84a1fba13acef023 commHash 9557196554151850019 - Init COMPLETE
lDev 2 busId b2000 commId 0x84a1fba13acef023 commHash 9557196554151850019 - Init COMPLETE
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Init timings - ncclCommInitRankConfig: rank 0 nranks 4 total 5.43 (knotebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Init timings - ncclCommInitRankConfig: rank 2 nranks 4 total 5.42 (kernels 0.23, alloc 0.03, bootstrap 0.01, allgathers 0.00, topo 0.12, graphs 0.00, connections 0.02, rest 5.01)
ernels 0.23, alloc 0.03, bootstrap 0.01, allgathers 0.00, topo 0.12, graphs 0.00, connections 0.02, rest 5.01)
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO ncclCommInitRankConfig comm 0x11eacf80 rank 3 nranks 4 cudaDev 3 nvmlDev 3 busId b8000 commId 0x84a1fba13acef023 commHash 9557196554151850019 - Init COMPLETE
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Init timings - ncclCommInitRankConfig: rank 3 nranks 4 total 5.42 (knotebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO ncclCommInitRankConfig comm 0x11ecb740 rank 1 nranks 4 cudaDev 1 nvmernels 0.23, alloc 0.03, bootstrap 0.01, allgathers 0.00, topo 0.12, graphs 0.00, connections 0.02, rest 5.01)
lDev 1 busId 8e000 commId 0x84a1fba13acef023 commHash 9557196554151850019 - Init COMPLETE
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Init timings - ncclCommInitRankConfig: rank 1 nranks 4 total 5.42 (kernels 0.24, alloc 0.03, bootstrap 0.00, allgathers 0.00, topo 0.12, graphs 0.00, connections 0.02, rest 5.01)
Loading Qwen3-VL-CoT-Embedding from /data/oss_bucket_0/peifeng/vlm2vec/models/qwen/Qwen3-VL-Embedding-2B/ ...

Loading weights:   0%|          | 0/625 [00:00<?, ?it/s]
Loading weights:   0%|          | 0/625 [00:00<?, ?it/s]
Loading weights:   0%|          | 0/625 [00:00<?, ?it/s]
Loading weights: 100%|██████████| 625/625 [00:00<00:00, 8596.94it/s]
The module name  (originally ) is not a valid Python identifier. Please rename the original module to avoid import issues.

Loading weights: 100%|██████████| 625/625 [00:00<00:00, 9038.11it/s]

Loading weights: 100%|██████████| 625/625 [00:00<00:00, 7969.55it/s]
The module name  (originally ) is not a valid Python identifier. Please rename the original module to avoid import issues.
The module name  (originally ) is not a valid Python identifier. Please rename the original module to avoid import issues.

Loading weights:   0%|          | 0/625 [00:00<?, ?it/s]
Loading weights: 100%|██████████| 625/625 [00:00<00:00, 8753.28it/s]
The module name  (originally ) is not a valid Python identifier. Please rename the original module to avoid import issues.
/opt/venv/python3.13.12/lib/python3.13/site-packages/peft/tuners/tuners_utils.py:1377: UserWarning: Model has `tie_word_embeddings=True` and a tied layer is part of the adapter, but `ensure_weight_tying` is not set to True. This can lead to complications, for example when merging the adapter or converting your model to formats other than safetensors. Check the discussion here: https://github.com/huggingface/peft/issues/2777
  warnings.warn(msg)
Freezing vision encoder...
Training lm_head via modules_to_save (decoupled from embed_tokens)...
/opt/venv/python3.13.12/lib/python3.13/site-packages/peft/tuners/tuners_utils.py:1377: UserWarning: Model has `tie_word_embeddings=True` and a tied layer is part of the adapter, but `ensure_weight_tying` is not set to True. This can lead to complications, for example when merging the adapter or converting your model to formats other than safetensors. Check the discussion here: https://github.com/huggingface/peft/issues/2777
  warnings.warn(msg)
/opt/venv/python3.13.12/lib/python3.13/site-packages/peft/tuners/tuners_utils.py:1377: UserWarning: Model has `tie_word_embeddings=True` and a tied layer is part of the adapter, but `ensure_weight_tying` is not set to True. This can lead to complications, for example when merging the adapter or converting your model to formats other than safetensors. Check the discussion here: https://github.com/huggingface/peft/issues/2777
  warnings.warn(msg)
/opt/venv/python3.13.12/lib/python3.13/site-packages/peft/tuners/tuners_utils.py:1377: UserWarning: Model has `tie_word_embeddings=True` and a tied layer is part of the adapter, but `ensure_weight_tying` is not set to True. This can lead to complications, for example when merging the adapter or converting your model to formats other than safetensors. Check the discussion here: https://github.com/huggingface/peft/issues/2777
  warnings.warn(msg)
LoRA applied.
Trainable parameters:
  base_model.model.model.language_model.layers.0.self_attn.q_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.0.self_attn.q_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.0.self_attn.k_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.0.self_attn.k_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.0.self_attn.v_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.0.self_attn.v_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.0.self_attn.o_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.0.self_attn.o_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.0.mlp.gate_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.0.mlp.gate_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.0.mlp.up_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.0.mlp.up_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.0.mlp.down_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.0.mlp.down_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.1.self_attn.q_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.1.self_attn.q_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.1.self_attn.k_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.1.self_attn.k_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.1.self_attn.v_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.1.self_attn.v_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.1.self_attn.o_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.1.self_attn.o_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.1.mlp.gate_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.1.mlp.gate_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.1.mlp.up_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.1.mlp.up_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.1.mlp.down_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.1.mlp.down_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.2.self_attn.q_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.2.self_attn.q_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.2.self_attn.k_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.2.self_attn.k_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.2.self_attn.v_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.2.self_attn.v_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.2.self_attn.o_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.2.self_attn.o_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.2.mlp.gate_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.2.mlp.gate_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.2.mlp.up_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.2.mlp.up_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.2.mlp.down_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.2.mlp.down_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.3.self_attn.q_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.3.self_attn.q_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.3.self_attn.k_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.3.self_attn.k_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.3.self_attn.v_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.3.self_attn.v_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.3.self_attn.o_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.3.self_attn.o_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.3.mlp.gate_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.3.mlp.gate_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.3.mlp.up_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.3.mlp.up_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.3.mlp.down_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.3.mlp.down_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.4.self_attn.q_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.4.self_attn.q_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.4.self_attn.k_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.4.self_attn.k_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.4.self_attn.v_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.4.self_attn.v_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.4.self_attn.o_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.4.self_attn.o_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.4.mlp.gate_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.4.mlp.gate_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.4.mlp.up_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.4.mlp.up_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.4.mlp.down_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.4.mlp.down_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.5.self_attn.q_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.5.self_attn.q_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.5.self_attn.k_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.5.self_attn.k_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.5.self_attn.v_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.5.self_attn.v_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.5.self_attn.o_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.5.self_attn.o_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.5.mlp.gate_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.5.mlp.gate_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.5.mlp.up_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.5.mlp.up_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.5.mlp.down_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.5.mlp.down_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.6.self_attn.q_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.6.self_attn.q_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.6.self_attn.k_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.6.self_attn.k_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.6.self_attn.v_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.6.self_attn.v_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.6.self_attn.o_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.6.self_attn.o_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.6.mlp.gate_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.6.mlp.gate_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.6.mlp.up_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.6.mlp.up_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.6.mlp.down_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.6.mlp.down_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.7.self_attn.q_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.7.self_attn.q_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.7.self_attn.k_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.7.self_attn.k_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.7.self_attn.v_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.7.self_attn.v_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.7.self_attn.o_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.7.self_attn.o_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.7.mlp.gate_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.7.mlp.gate_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.7.mlp.up_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.7.mlp.up_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.7.mlp.down_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.7.mlp.down_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.8.self_attn.q_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.8.self_attn.q_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.8.self_attn.k_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.8.self_attn.k_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.8.self_attn.v_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.8.self_attn.v_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.8.self_attn.o_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.8.self_attn.o_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.8.mlp.gate_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.8.mlp.gate_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.8.mlp.up_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.8.mlp.up_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.8.mlp.down_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.8.mlp.down_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.9.self_attn.q_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.9.self_attn.q_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.9.self_attn.k_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.9.self_attn.k_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.9.self_attn.v_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.9.self_attn.v_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.9.self_attn.o_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.9.self_attn.o_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.9.mlp.gate_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.9.mlp.gate_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.9.mlp.up_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.9.mlp.up_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.9.mlp.down_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.9.mlp.down_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.10.self_attn.q_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.10.self_attn.q_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.10.self_attn.k_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.10.self_attn.k_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.10.self_attn.v_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.10.self_attn.v_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.10.self_attn.o_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.10.self_attn.o_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.10.mlp.gate_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.10.mlp.gate_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.10.mlp.up_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.10.mlp.up_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.10.mlp.down_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.10.mlp.down_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.11.self_attn.q_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.11.self_attn.q_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.11.self_attn.k_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.11.self_attn.k_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.11.self_attn.v_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.11.self_attn.v_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.11.self_attn.o_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.11.self_attn.o_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.11.mlp.gate_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.11.mlp.gate_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.11.mlp.up_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.11.mlp.up_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.11.mlp.down_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.11.mlp.down_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.12.self_attn.q_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.12.self_attn.q_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.12.self_attn.k_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.12.self_attn.k_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.12.self_attn.v_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.12.self_attn.v_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.12.self_attn.o_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.12.self_attn.o_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.12.mlp.gate_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.12.mlp.gate_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.12.mlp.up_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.12.mlp.up_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.12.mlp.down_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.12.mlp.down_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.13.self_attn.q_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.13.self_attn.q_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.13.self_attn.k_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.13.self_attn.k_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.13.self_attn.v_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.13.self_attn.v_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.13.self_attn.o_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.13.self_attn.o_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.13.mlp.gate_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.13.mlp.gate_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.13.mlp.up_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.13.mlp.up_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.13.mlp.down_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.13.mlp.down_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.14.self_attn.q_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.14.self_attn.q_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.14.self_attn.k_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.14.self_attn.k_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.14.self_attn.v_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.14.self_attn.v_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.14.self_attn.o_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.14.self_attn.o_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.14.mlp.gate_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.14.mlp.gate_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.14.mlp.up_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.14.mlp.up_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.14.mlp.down_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.14.mlp.down_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.15.self_attn.q_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.15.self_attn.q_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.15.self_attn.k_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.15.self_attn.k_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.15.self_attn.v_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.15.self_attn.v_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.15.self_attn.o_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.15.self_attn.o_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.15.mlp.gate_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.15.mlp.gate_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.15.mlp.up_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.15.mlp.up_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.15.mlp.down_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.15.mlp.down_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.16.self_attn.q_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.16.self_attn.q_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.16.self_attn.k_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.16.self_attn.k_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.16.self_attn.v_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.16.self_attn.v_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.16.self_attn.o_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.16.self_attn.o_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.16.mlp.gate_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.16.mlp.gate_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.16.mlp.up_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.16.mlp.up_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.16.mlp.down_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.16.mlp.down_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.17.self_attn.q_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.17.self_attn.q_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.17.self_attn.k_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.17.self_attn.k_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.17.self_attn.v_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.17.self_attn.v_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.17.self_attn.o_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.17.self_attn.o_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.17.mlp.gate_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.17.mlp.gate_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.17.mlp.up_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.17.mlp.up_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.17.mlp.down_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.17.mlp.down_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.18.self_attn.q_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.18.self_attn.q_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.18.self_attn.k_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.18.self_attn.k_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.18.self_attn.v_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.18.self_attn.v_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.18.self_attn.o_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.18.self_attn.o_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.18.mlp.gate_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.18.mlp.gate_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.18.mlp.up_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.18.mlp.up_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.18.mlp.down_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.18.mlp.down_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.19.self_attn.q_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.19.self_attn.q_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.19.self_attn.k_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.19.self_attn.k_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.19.self_attn.v_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.19.self_attn.v_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.19.self_attn.o_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.19.self_attn.o_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.19.mlp.gate_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.19.mlp.gate_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.19.mlp.up_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.19.mlp.up_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.19.mlp.down_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.19.mlp.down_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.20.self_attn.q_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.20.self_attn.q_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.20.self_attn.k_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.20.self_attn.k_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.20.self_attn.v_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.20.self_attn.v_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.20.self_attn.o_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.20.self_attn.o_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.20.mlp.gate_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.20.mlp.gate_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.20.mlp.up_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.20.mlp.up_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.20.mlp.down_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.20.mlp.down_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.21.self_attn.q_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.21.self_attn.q_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.21.self_attn.k_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.21.self_attn.k_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.21.self_attn.v_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.21.self_attn.v_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.21.self_attn.o_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.21.self_attn.o_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.21.mlp.gate_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.21.mlp.gate_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.21.mlp.up_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.21.mlp.up_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.21.mlp.down_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.21.mlp.down_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.22.self_attn.q_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.22.self_attn.q_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.22.self_attn.k_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.22.self_attn.k_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.22.self_attn.v_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.22.self_attn.v_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.22.self_attn.o_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.22.self_attn.o_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.22.mlp.gate_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.22.mlp.gate_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.22.mlp.up_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.22.mlp.up_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.22.mlp.down_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.22.mlp.down_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.23.self_attn.q_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.23.self_attn.q_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.23.self_attn.k_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.23.self_attn.k_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.23.self_attn.v_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.23.self_attn.v_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.23.self_attn.o_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.23.self_attn.o_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.23.mlp.gate_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.23.mlp.gate_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.23.mlp.up_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.23.mlp.up_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.23.mlp.down_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.23.mlp.down_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.24.self_attn.q_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.24.self_attn.q_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.24.self_attn.k_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.24.self_attn.k_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.24.self_attn.v_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.24.self_attn.v_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.24.self_attn.o_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.24.self_attn.o_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.24.mlp.gate_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.24.mlp.gate_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.24.mlp.up_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.24.mlp.up_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.24.mlp.down_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.24.mlp.down_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.25.self_attn.q_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.25.self_attn.q_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.25.self_attn.k_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.25.self_attn.k_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.25.self_attn.v_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.25.self_attn.v_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.25.self_attn.o_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.25.self_attn.o_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.25.mlp.gate_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.25.mlp.gate_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.25.mlp.up_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.25.mlp.up_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.25.mlp.down_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.25.mlp.down_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.26.self_attn.q_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.26.self_attn.q_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.26.self_attn.k_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.26.self_attn.k_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.26.self_attn.v_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.26.self_attn.v_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.26.self_attn.o_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.26.self_attn.o_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.26.mlp.gate_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.26.mlp.gate_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.26.mlp.up_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.26.mlp.up_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.26.mlp.down_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.26.mlp.down_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.27.self_attn.q_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.27.self_attn.q_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.27.self_attn.k_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.27.self_attn.k_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.27.self_attn.v_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.27.self_attn.v_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.27.self_attn.o_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.27.self_attn.o_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.27.mlp.gate_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.27.mlp.gate_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.27.mlp.up_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.27.mlp.up_proj.lora_B.default.weight
  base_model.model.model.language_model.layers.27.mlp.down_proj.lora_A.default.weight
  base_model.model.model.language_model.layers.27.mlp.down_proj.lora_B.default.weight
  base_model.model.lm_head.modules_to_save.default.weight
Loading data...
total of 10000 items (local json /data/oss_bucket_0/liqi/dataset/embedding_pf/cot_output_new/dapei_train_cot.json).
total of 10000 items (local json /data/oss_bucket_0/liqi/dataset/embedding_pf/cot_output_new/dapei_train_cot.json).
No eval during training.
[infonce] neg_gather_size=4 -> 组内 4 卡共享，候选池 32，每个 query 31 个负样本
total of 10000 items (local json /data/oss_bucket_0/liqi/dataset/embedding_pf/cot_output_new/dapei_train_cot.json).
total of 10000 items (local json /data/oss_bucket_0/liqi/dataset/embedding_pf/cot_output_new/dapei_train_cot.json).
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Comm config Blocking set to 1
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Comm config Blocking set to 1
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Comm config Blocking set to 1
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Comm config Blocking set to 1
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Initialized NET plugin Socket
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Initialized NET plugin Socket
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Initialized NET plugin Socket
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Initialized NET plugin Socket
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Assigned NET plugin Socket to comm
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Using network Socket
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Assigned NET plugin Socket to comm
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Using network Socket
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Assigned NET plugin Socket to comm
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Using network Socket
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Assigned NET plugin Socket to comm
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Using network Socket
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Initialized NET plugin Socket
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Assigned NET plugin Socket to comm
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Using network Socket
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Initialized NET plugin Socket
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Initialized NET plugin Socket
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO ncclCommSplit comm 0x2a1307c0 rank 2 nranks 4 cudaDev 2 nvmlDev 2 busId b2000 parent 0x11eca310 childCount 1 color 2003953581 key 2 commHash 8923940766810589732 - Init START
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Assigned NET plugin Socket to comm
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Using network Socket
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Initialized NET plugin Socket
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO ncclCommSplit comm 0x2de13b40 rank 3 nranks 4 cudaDev 3 nvmlDev 3 busId b8000 parent 0x11eacf80 childCount 1 color 2003953581 key 3 commHash 8923940766810589732 - Init START
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Assigned NET plugin Socket to comm
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Using network Socket
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO ncclCommSplit comm 0x19c91200 rank 0 nranks 4 cudaDev 0 nvmlDev 0 busId 89000 parent 0x11ea92f0 childCount 1 color 2003953581 key 0 commHash 8923940766810589732 - Init START
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Assigned NET plugin Socket to comm
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Using network Socket
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO ncclCommSplit comm 0x2c7f1100 rank 1 nranks 4 cudaDev 1 nvmlDev 1 busId 8e000 parent 0x11ecb740 childCount 1 color 2003953581 key 1 commHash 8923940766810589732 - Init START
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO ncclTopoGetCpuAffinity: Affinity for GPU 3 is 44-47,52-53,59-62,108-111,116-117,123-126. (GPU affinity = 32-63,96-127 ; CPU affinity = 44-47,52-53,59-62,108-111,116-117,123-126).
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO NVLS multicast support is not available on dev 3 (NVLS_NCHANNELS 0)
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO ncclTopoGetCpuAffinity: Affinity for GPU 2 is 44-47,52-53,59-62,108-111,116-117,123-126. (GPU affinity = 32-63,96-127 ; CPU affinity = 44-47,52-53,59-62,108-111,116-117,123-126).
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO NVLS multicast support is not available on dev 2 (NVLS_NCHANNELS 0)
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO ncclTopoGetCpuAffinity: Affinity for GPU 0 is 44-47,52-53,59-62,108-111,116-117,123-126. (GPU affinity = 32-63,96-127 ; CPU affinity = 44-47,52-53,59-62,108-111,116-117,123-126).
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO NVLS multicast support is not available on dev 0 (NVLS_NCHANNELS 0)
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO ncclTopoGetCpuAffinity: Affinity for GPU 1 is 44-47,52-53,59-62,108-111,116-117,123-126. (GPU affinity = 32-63,96-127 ; CPU affinity = 44-47,52-53,59-62,108-111,116-117,123-126).
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO NVLS multicast support is not available on dev 1 (NVLS_NCHANNELS 0)
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO comm 0x2c7f1100 rank 1 nRanks 4 nNodes 1 localRanks 4 localRank 1 MNNVL 0
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO comm 0x19c91200 rank 0 nRanks 4 nNodes 1 localRanks 4 localRank 0 MNnotebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO comm 0x2de13b40 rank 3 nRanks 4 nNodes 1 localRanks 4 localRank 3 MNNVL 0
NVL 0
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO comm 0x2a1307c0 rank 2 nRanks 4 nNodes 1 localRanks 4 localRank 2 MNNVL 0
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 00/16 : 0 1 3 2
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 01/16 : 0 1 3 2
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 02/16 : 0 1 3 2
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 03/16 : 0 1 3 2
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 04/16 : 0 1 3 2
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 05/16 : 0 1 3 2
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 06/16 : 0 1 3 2
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 07/16 : 0 1 3 2
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 08/16 : 0 1 3 2
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 09/16 : 0 1 3 2
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 10/16 : 0 1 3 2
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 11/16 : 0 1 3 2
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 12/16 : 0 1 3 2
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 13/16 : 0 1 3 2
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 14/16 : 0 1 3 2
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 15/16 : 0 1 3 2
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Trees [0] 3/-1/-1->1->0 [1] 3/-1/-1->1->0 [2] 3/-1/-1->1->0 [3] 3/-1/-1->1->0 [4] 3/-1/-1->1->0 [5] 3/-1/-1->1->0 [6] 3/-1/-1->1->0 [7] 3/-1/-1->1->0 [8] 3/-1/-1->1->0 [9] 3/-1/-1->1->0 [10] 3/-1/-1->1->0 [11] 3/-1/-1->1->0 [12] 3/-1/-1->1->0 [13] 3/-1/-1->1->0 [14] 3/-1/-1->1->0 [15] 3/-1/-1->1->0
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO P2P Chunksize set to 524288
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Check P2P Type isAllDirectP2p 1 directMode 0 isAllCudaP2p 1
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Trees [0] 2/-1/-1->3->1 [1] 2/-1/-1->3->1 [2] 2/-1/-1->3->1 [3] 2/-1/-1->3->1 [4] 2/-1/-1->3->1 [5] 2/-1/-1->3->1 [6] 2/-1/-1->3->1 [7] 2/-1/-1->3->1 [8] 2/-1/-1->3->1 [9] 2/-1/-1->3->1 [10] 2/-1/-1->3->1 [11] 2/-1/-1->3->1 [12] 2/-1/-1->3->1 [13] 2/-1/-1->3->1 [14] 2/-1/-1->3->1 [15] 2/-1/-1->3->1
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Trees [0] -1/-1/-1->2->3 [1] -1/-1/-1->2->3 [2] -1/-1/-1->2->3 [3] -1/-1/-1->2->3 [4] -1/-1/-1->2->3 [5] -1/-1/-1->2->3 [6] -1/-1/-1->2->3 [7] -1/-1/-1->2->3 [8] -1/-1/-1->2->3 [9] -1/-1/-1->2->3 [10] -1/-1/-1->2->3 [11] -1/-1/-1->2->3 [12] -1/-1/-1->2->3 [13] -1/-1/-1->2->3 [14] -1/-1/-1->2->3 [15] -1/-1/-1->2->3
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO P2P Chunksize set to 524288
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO P2P Chunksize set to 524288
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Check P2P Type isAllDirectP2p 1 directMode 0 isAllCudaP2p 1
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Check P2P Type isAllDirectP2p 1 directMode 0 isAllCudaP2p 1
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Trees [0] 1/-1/-1->0->-1 [1] 1/-1/-1->0->-1 [2] 1/-1/-1->0->-1 [3] 1/-1/-1->0->-1 [4] 1/-1/-1->0->-1 [5] 1/-1/-1->0->-1 [6] 1/-1/-1->0->-1 [7] 1/-1/-1->0->-1 [8] 1/-1/-1->0->-1 [9] 1/-1/-1->0->-1 [10] 1/-1/-1->0->-1 [11] 1/-1/-1->0->-1 [12] 1/-1/-1->0->-1 [13] 1/-1/-1->0->-1 [14] 1/-1/-1->0->-1 [15] 1/-1/-1->0->-1
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO P2P Chunksize set to 524288
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Check P2P Type isAllDirectP2p 1 directMode 0 isAllCudaP2p 1
notebook-622b7fa0e0f7-worker-0:259325:261483 [0]  NCCL INFO [Proxy Service] Device 1 CPU core 53
notebook-622b7fa0e0f7-worker-0:259326:261484 [0]  NCCL INFO [Proxy Service] Device 2 CPU core 124
notebook-622b7fa0e0f7-worker-0:259324:261486 [0]  NCCL INFO [Proxy Service] Device 0 CPU core 125
notebook-622b7fa0e0f7-worker-0:259327:261485 [0]  NCCL INFO [Proxy Service] Device 3 CPU core 60
notebook-622b7fa0e0f7-worker-0:259325:261487 [0]  NCCL INFO [Proxy Service UDS] Device 1 CPU core 62
notebook-622b7fa0e0f7-worker-0:259324:261490 [0]  NCCL INFO [Proxy Service UDS] Device 0 CPU core 45
notebook-622b7fa0e0f7-worker-0:259326:261489 [0]  NCCL INFO [Proxy Service UDS] Device 2 CPU core 44
notebook-622b7fa0e0f7-worker-0:259327:261488 [0]  NCCL INFO [Proxy Service UDS] Device 3 CPU core 108
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO threadThresholds 8/8/64 | 32/8/64 | 512 | 512
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO 16 coll channels, 16 collnet channels, 0 nvls channels, 16 p2p channels, 16 p2p channels per peer
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO threadThresholds 8/8/64 | 32/8/64 | 512 | 512
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO 16 coll channels, 16 collnet channels, 0 nvls channels, 16 p2p channels, 16 p2p channels per peer
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO threadThresholds 8/8/64 | 32/8/64 | 512 | 512
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO 16 coll channels, 16 collnet channels, 0 nvls channels, 16 p2p channels, 16 p2p channels per peer
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO threadThresholds 8/8/64 | 32/8/64 | 512 | 512
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO 16 coll channels, 16 collnet channels, 0 nvls channels, 16 p2p channels, 16 p2p channels per peer
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO CC Off, workFifoBytes 1048576
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO ncclCommSplit comm 0x2de13b40 rank 3 nranks 4 cudaDev 3 nvmlDev 3 bunotebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO ncclCommSplit comm 0x19c91200 rank 0 nranks 4 cudaDev 0 nvmlDev 0 bunotebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO ncclCommSplit comm 0x2c7f1100 rank 1 nranks 4 cudaDev 1 nvmlDev 1 busId b8000 parent 0x11eacf80 childCount 1 color 2003953581 key 3 commHash 8923940766810589732 - Init COMPLETE
sId 89000 parent 0x11ea92f0 childCount 1 color 2003953581 key 0 commHash 8923940766810589732 - Init COMPLETE
sId 8e000 parent 0x11ecb740 childCount 1 color 2003953581 key 1 commHash 8923940766810589732 - Init COMPLETE
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Init timings - ncclCommSplit: rank 0 nranks 4 total 0.34 (kernels 0.notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Init timings - ncclCommSplit: rank 3 nranks 4 total 0.23 (kernels 0.notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Init timings - ncclCommSplit: rank 1 nranks 4 total 0.21 (kernels 0.00, alloc 0.00, bootstrap 0.00, allgathers 0.00, topo 0.18, graphs 0.00, connections 0.02, rest 0.13)
00, alloc 0.00, bootstrap 0.00, allgathers 0.00, topo 0.18, graphs 0.00, connections 0.02, rest 0.03)
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO ncclCommSplit comm 0x2a1307c0 rank 2 nranks 4 cudaDev 2 nvmlDev 2 bu00, alloc 0.00, bootstrap 0.00, allgathers 0.00, topo 0.18, graphs 0.00, connections 0.02, rest 0.01)
sId b2000 parent 0x11eca310 childCount 1 color 2003953581 key 2 commHash 8923940766810589732 - Init COMPLETE
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Init timings - ncclCommSplit: rank 2 nranks 4 total 0.47 (kernels 0.00, alloc 0.00, bootstrap 0.00, allgathers 0.00, topo 0.18, graphs 0.00, connections 0.02, rest 0.27)
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Symmetric VA size=80GB
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Symmetric VA size=80GB
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Symmetric VA size=80GB
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 00/0 : 0[0] -> 1[1] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Symmetric VA size=80GB
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Channel 00/0 : 2[2] -> 0[0] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 01/0 : 0[0] -> 1[1] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Channel 01/0 : 2[2] -> 0[0] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 02/0 : 0[0] -> 1[1] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Channel 02/0 : 2[2] -> 0[0] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 03/0 : 0[0] -> 1[1] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Channel 03/0 : 2[2] -> 0[0] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 04/0 : 0[0] -> 1[1] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Channel 04/0 : 2[2] -> 0[0] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 05/0 : 0[0] -> 1[1] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Channel 05/0 : 2[2] -> 0[0] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 06/0 : 0[0] -> 1[1] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Channel 06/0 : 2[2] -> 0[0] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 07/0 : 0[0] -> 1[1] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Channel 07/0 : 2[2] -> 0[0] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 08/0 : 0[0] -> 1[1] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Channel 08/0 : 2[2] -> 0[0] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 09/0 : 0[0] -> 1[1] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Channel 09/0 : 2[2] -> 0[0] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 10/0 : 0[0] -> 1[1] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Channel 10/0 : 2[2] -> 0[0] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 11/0 : 0[0] -> 1[1] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Channel 11/0 : 2[2] -> 0[0] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 12/0 : 0[0] -> 1[1] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Channel 12/0 : 2[2] -> 0[0] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 13/0 : 0[0] -> 1[1] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Channel 13/0 : 2[2] -> 0[0] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 14/0 : 0[0] -> 1[1] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Channel 14/0 : 2[2] -> 0[0] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Channel 15/0 : 2[2] -> 0[0] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 15/0 : 0[0] -> 1[1] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Channel 00/0 : 1[1] -> 3[3] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Channel 01/0 : 1[1] -> 3[3] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Channel 02/0 : 1[1] -> 3[3] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Channel 03/0 : 1[1] -> 3[3] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Channel 04/0 : 1[1] -> 3[3] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Channel 05/0 : 1[1] -> 3[3] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Channel 06/0 : 1[1] -> 3[3] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Channel 07/0 : 1[1] -> 3[3] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Channel 08/0 : 1[1] -> 3[3] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Channel 09/0 : 1[1] -> 3[3] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Channel 10/0 : 1[1] -> 3[3] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Channel 11/0 : 1[1] -> 3[3] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Channel 12/0 : 1[1] -> 3[3] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Channel 13/0 : 1[1] -> 3[3] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Channel 14/0 : 1[1] -> 3[3] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Channel 15/0 : 1[1] -> 3[3] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Channel 00/0 : 3[3] -> 2[2] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Channel 01/0 : 3[3] -> 2[2] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Channel 02/0 : 3[3] -> 2[2] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Channel 03/0 : 3[3] -> 2[2] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Channel 04/0 : 3[3] -> 2[2] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Channel 05/0 : 3[3] -> 2[2] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Channel 06/0 : 3[3] -> 2[2] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Channel 07/0 : 3[3] -> 2[2] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Channel 08/0 : 3[3] -> 2[2] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Channel 09/0 : 3[3] -> 2[2] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Channel 10/0 : 3[3] -> 2[2] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Channel 11/0 : 3[3] -> 2[2] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Channel 12/0 : 3[3] -> 2[2] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Channel 13/0 : 3[3] -> 2[2] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Channel 14/0 : 3[3] -> 2[2] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Channel 15/0 : 3[3] -> 2[2] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Connected all rings, use ring PXN 0 GDR 1
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Connected all rings, use ring PXN 0 GDR 1
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Connected all rings, use ring PXN 0 GDR 1
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Connected all rings, use ring PXN 0 GDR 1

  0%|          | 0/3125 [00:00<?, ?it/s]notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Symmetric VA size=80GB
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 00/0 : 0[0] -> 1[1] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 01/0 : 0[0] -> 1[1] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 02/0 : 0[0] -> 1[1] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 03/0 : 0[0] -> 1[1] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 04/0 : 0[0] -> 1[1] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 05/0 : 0[0] -> 1[1] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 06/0 : 0[0] -> 1[1] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 07/0 : 0[0] -> 1[1] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 08/0 : 0[0] -> 1[1] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 09/0 : 0[0] -> 1[1] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 10/0 : 0[0] -> 1[1] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 11/0 : 0[0] -> 1[1] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 12/0 : 0[0] -> 1[1] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 13/0 : 0[0] -> 1[1] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 14/0 : 0[0] -> 1[1] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Channel 15/0 : 0[0] -> 1[1] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Symmetric VA size=80GB
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Channel 00/0 : 2[2] -> 0[0] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Channel 01/0 : 2[2] -> 0[0] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Channel 02/0 : 2[2] -> 0[0] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Channel 03/0 : 2[2] -> 0[0] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Channel 04/0 : 2[2] -> 0[0] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Channel 05/0 : 2[2] -> 0[0] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Channel 06/0 : 2[2] -> 0[0] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Channel 07/0 : 2[2] -> 0[0] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Channel 08/0 : 2[2] -> 0[0] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Channel 09/0 : 2[2] -> 0[0] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Channel 10/0 : 2[2] -> 0[0] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Channel 11/0 : 2[2] -> 0[0] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Channel 12/0 : 2[2] -> 0[0] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Channel 13/0 : 2[2] -> 0[0] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Channel 14/0 : 2[2] -> 0[0] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Channel 15/0 : 2[2] -> 0[0] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Symmetric VA size=80GB
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Symmetric VA size=80GB
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Channel 00/0 : 1[1] -> 3[3] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Channel 01/0 : 1[1] -> 3[3] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Channel 02/0 : 1[1] -> 3[3] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Channel 03/0 : 1[1] -> 3[3] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Channel 04/0 : 1[1] -> 3[3] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Channel 05/0 : 1[1] -> 3[3] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Channel 06/0 : 1[1] -> 3[3] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Channel 07/0 : 1[1] -> 3[3] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Channel 08/0 : 1[1] -> 3[3] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Channel 09/0 : 1[1] -> 3[3] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Channel 10/0 : 1[1] -> 3[3] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Channel 11/0 : 1[1] -> 3[3] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Channel 12/0 : 1[1] -> 3[3] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Channel 13/0 : 1[1] -> 3[3] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Channel 14/0 : 1[1] -> 3[3] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Channel 15/0 : 1[1] -> 3[3] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Channel 00/0 : 3[3] -> 2[2] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Channel 01/0 : 3[3] -> 2[2] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Channel 02/0 : 3[3] -> 2[2] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Channel 03/0 : 3[3] -> 2[2] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Channel 04/0 : 3[3] -> 2[2] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Channel 05/0 : 3[3] -> 2[2] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Channel 06/0 : 3[3] -> 2[2] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Channel 07/0 : 3[3] -> 2[2] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Channel 08/0 : 3[3] -> 2[2] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Channel 09/0 : 3[3] -> 2[2] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Channel 10/0 : 3[3] -> 2[2] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Channel 11/0 : 3[3] -> 2[2] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Channel 12/0 : 3[3] -> 2[2] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Channel 13/0 : 3[3] -> 2[2] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Channel 14/0 : 3[3] -> 2[2] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Channel 15/0 : 3[3] -> 2[2] via P2P/CUMEM/read
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO Connected all rings, use ring PXN 0 GDR 1
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO Connected all rings, use ring PXN 0 GDR 1
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO Connected all rings, use ring PXN 0 GDR 1
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO Connected all rings, use ring PXN 0 GDR 1

 38%|███▊      | 1201/3125 [00:06<00:10, 186.18it/s]
 39%|███▊      | 1207/3125 [00:26<00:10, 186.18it/s]
 39%|███▊      | 1208/3125 [00:26<00:55, 34.60it/s] 
 39%|███▊      | 1209/3125 [00:29<01:04, 29.77it/s]
                                                   
{'loss': '1.312', 'grad_norm': '7.882', 'learning_rate': '1e-05', 'train/loss_infonce': '0.5898', 'train/loss_cot': '0.9783', 'epoch': '1.936'}

 39%|███▊      | 1210/3125 [00:32<01:04, 29.77it/s]
 39%|███▉      | 1215/3125 [00:46<01:04, 29.77it/s]
 39%|███▉      | 1216/3125 [00:48<02:31, 12.56it/s]
 39%|███▉      | 1217/3125 [00:51<02:47, 11.40it/s]
                                                   
{'loss': '1.349', 'grad_norm': '6.241', 'learning_rate': '1e-05', 'train/loss_infonce': '0.04053', 'train/loss_cot': '1.036', 'epoch': '1.952'}

 39%|███▉      | 1220/3125 [01:00<02:47, 11.40it/s]
 39%|███▉      | 1222/3125 [01:05<04:47,  6.62it/s]
 39%|███▉      | 1223/3125 [01:08<05:21,  5.91it/s]
 39%|███▉      | 1226/3125 [01:16<07:43,  4.10it/s]
 39%|███▉      | 1228/3125 [01:22<09:53,  3.20it/s]
 39%|███▉      | 1230/3125 [01:27<12:29,  2.53it/s]
                                                   
{'loss': '1.36', 'grad_norm': '6.169', 'learning_rate': '1e-05', 'train/loss_infonce': '0.0791', 'train/loss_cot': '0.9644', 'epoch': '1.968'}

 39%|███▉      | 1230/3125 [01:28<12:29,  2.53it/s]
 39%|███▉      | 1231/3125 [01:31<14:41,  2.15it/s]
 39%|███▉      | 1232/3125 [01:33<16:59,  1.86it/s]
 39%|███▉      | 1233/3125 [01:36<20:11,  1.56it/s]
 39%|███▉      | 1234/3125 [01:39<25:01,  1.26it/s]
 40%|███▉      | 1235/3125 [01:42<29:38,  1.06it/s]
 40%|███▉      | 1236/3125 [01:45<36:18,  1.15s/it]
 40%|███▉      | 1237/3125 [01:47<42:16,  1.34s/it]
 40%|███▉      | 1238/3125 [01:50<49:23,  1.57s/it]
 40%|███▉      | 1239/3125 [01:53<54:50,  1.74s/it]
 40%|███▉      | 1240/3125 [01:55<59:20,  1.89s/it]
                                                   
{'loss': '1.344', 'grad_norm': '6.17', 'learning_rate': '1e-05', 'train/loss_infonce': '0.2715', 'train/loss_cot': '1.272', 'epoch': '1.984'}

 40%|███▉      | 1240/3125 [01:55<59:20,  1.89s/it]
 40%|███▉      | 1241/3125 [01:58<1:05:48,  2.10s/it]
 40%|███▉      | 1242/3125 [02:00<1:08:47,  2.19s/it]
 40%|███▉      | 1243/3125 [02:03<1:14:11,  2.37s/it]
 40%|███▉      | 1244/3125 [02:06<1:18:48,  2.51s/it]
 40%|███▉      | 1245/3125 [02:09<1:18:58,  2.52s/it]
 40%|███▉      | 1246/3125 [02:11<1:21:06,  2.59s/it]
 40%|███▉      | 1247/3125 [02:14<1:24:50,  2.71s/it]
 40%|███▉      | 1248/3125 [02:17<1:24:56,  2.72s/it]
 40%|███▉      | 1249/3125 [02:20<1:24:20,  2.70s/it]
 40%|████      | 1250/3125 [02:21<1:07:12,  2.15s/it]
                                                     
{'loss': '1.413', 'grad_norm': '7.31', 'learning_rate': '1e-05', 'train/loss_infonce': '0.1162', 'train/loss_cot': '1.073', 'epoch': '2'}

 40%|████      | 1250/3125 [02:21<1:07:12,  2.15s/it]
 40%|████      | 1251/3125 [02:25<1:25:21,  2.73s/it]
 40%|████      | 1252/3125 [02:28<1:28:08,  2.82s/it]
 40%|████      | 1253/3125 [02:31<1:31:57,  2.95s/it]
 40%|████      | 1254/3125 [02:34<1:30:51,  2.91s/it]
 40%|████      | 1255/3125 [02:36<1:27:42,  2.81s/it]
 40%|████      | 1256/3125 [02:39<1:26:55,  2.79s/it]
 40%|████      | 1257/3125 [02:42<1:28:34,  2.85s/it]
 40%|████      | 1258/3125 [02:45<1:27:38,  2.82s/it]
 40%|████      | 1259/3125 [02:48<1:27:17,  2.81s/it]
 40%|████      | 1260/3125 [02:50<1:25:44,  2.76s/it]
                                                     
{'loss': '1.193', 'grad_norm': '6.144', 'learning_rate': '1e-05', 'train/loss_infonce': '0.1953', 'train/loss_cot': '0.9299', 'epoch': '2.016'}

 40%|████      | 1260/3125 [02:51<1:25:44,  2.76s/it]
 40%|████      | 1261/3125 [02:53<1:25:13,  2.74s/it]
 40%|████      | 1262/3125 [02:56<1:27:25,  2.82s/it]
 40%|████      | 1263/3125 [02:59<1:27:53,  2.83s/it]
 40%|████      | 1264/3125 [03:02<1:29:47,  2.89s/it]
 40%|████      | 1265/3125 [03:04<1:25:04,  2.74s/it]
 41%|████      | 1266/3125 [03:07<1:22:43,  2.67s/it]
 41%|████      | 1267/3125 [03:10<1:24:04,  2.71s/it]
 41%|████      | 1268/3125 [03:13<1:29:47,  2.90s/it]
 41%|████      | 1269/3125 [03:16<1:27:26,  2.83s/it]
 41%|████      | 1270/3125 [03:18<1:23:25,  2.70s/it]
                                                     
{'loss': '1.15', 'grad_norm': '7.134', 'learning_rate': '1e-05', 'train/loss_infonce': '0.2617', 'train/loss_cot': '1.007', 'epoch': '2.032'}

 41%|████      | 1270/3125 [03:18<1:23:25,  2.70s/it]
 41%|████      | 1271/3125 [03:21<1:23:20,  2.70s/it]
 41%|████      | 1272/3125 [03:24<1:27:30,  2.83s/it]
 41%|████      | 1273/3125 [03:27<1:34:06,  3.05s/it]
 41%|████      | 1274/3125 [03:30<1:31:46,  2.98s/it]
 41%|████      | 1275/3125 [03:34<1:35:25,  3.09s/it]
 41%|████      | 1276/3125 [03:37<1:38:26,  3.19s/it]
 41%|████      | 1277/3125 [03:40<1:34:51,  3.08s/it]
 41%|████      | 1278/3125 [03:43<1:32:22,  3.00s/it]
 41%|████      | 1279/3125 [03:45<1:28:36,  2.88s/it]
 41%|████      | 1280/3125 [03:48<1:28:35,  2.88s/it]
                                                     
{'loss': '1.236', 'grad_norm': '5.722', 'learning_rate': '1e-05', 'train/loss_infonce': '0.05029', 'train/loss_cot': '1.407', 'epoch': '2.048'}

 41%|████      | 1280/3125 [03:49<1:28:35,  2.88s/it]
 41%|████      | 1281/3125 [03:51<1:25:59,  2.80s/it]
 41%|████      | 1282/3125 [03:54<1:26:27,  2.81s/it]
 41%|████      | 1283/3125 [03:56<1:26:01,  2.80s/it]
 41%|████      | 1284/3125 [03:59<1:24:56,  2.77s/it]
 41%|████      | 1285/3125 [04:02<1:22:38,  2.69s/it]
 41%|████      | 1286/3125 [04:04<1:21:26,  2.66s/it]
 41%|████      | 1287/3125 [04:07<1:19:24,  2.59s/it]
 41%|████      | 1288/3125 [04:09<1:20:52,  2.64s/it]
 41%|████      | 1289/3125 [04:13<1:26:06,  2.81s/it]
 41%|████▏     | 1290/3125 [04:15<1:26:16,  2.82s/it]
                                                     
{'loss': '1.178', 'grad_norm': '5.351', 'learning_rate': '1e-05', 'train/loss_infonce': '0.01147', 'train/loss_cot': '0.8401', 'epoch': '2.064'}

 41%|████▏     | 1290/3125 [04:16<1:26:16,  2.82s/it]
 41%|████▏     | 1291/3125 [04:18<1:24:35,  2.77s/it]
 41%|████▏     | 1292/3125 [04:21<1:25:49,  2.81s/it]
 41%|████▏     | 1293/3125 [04:24<1:24:44,  2.78s/it]
 41%|████▏     | 1294/3125 [04:26<1:25:01,  2.79s/it]
 41%|████▏     | 1295/3125 [04:29<1:23:37,  2.74s/it]
 41%|████▏     | 1296/3125 [04:32<1:21:37,  2.68s/it]
 42%|████▏     | 1297/3125 [04:35<1:23:27,  2.74s/it]
 42%|████▏     | 1298/3125 [04:37<1:22:19,  2.70s/it]
 42%|████▏     | 1299/3125 [04:40<1:22:29,  2.71s/it]
 42%|████▏     | 1300/3125 [04:43<1:24:06,  2.77s/it]
                                                     
{'loss': '1.221', 'grad_norm': '8.117', 'learning_rate': '1e-05', 'train/loss_infonce': '0.3984', 'train/loss_cot': '1.056', 'epoch': '2.08'}

 42%|████▏     | 1300/3125 [04:43<1:24:06,  2.77s/it]
 42%|████▏     | 1301/3125 [04:46<1:23:59,  2.76s/it]
 42%|████▏     | 1302/3125 [04:48<1:19:58,  2.63s/it]
 42%|████▏     | 1303/3125 [04:51<1:21:05,  2.67s/it]
 42%|████▏     | 1304/3125 [04:54<1:26:00,  2.83s/it]
 42%|████▏     | 1305/3125 [04:57<1:26:38,  2.86s/it]
 42%|████▏     | 1306/3125 [04:59<1:25:01,  2.80s/it]
 42%|████▏     | 1307/3125 [05:03<1:28:53,  2.93s/it]
 42%|████▏     | 1308/3125 [05:05<1:26:58,  2.87s/it]
 42%|████▏     | 1309/3125 [05:08<1:23:22,  2.75s/it]
 42%|████▏     | 1310/3125 [05:11<1:23:46,  2.77s/it]
                                                     
{'loss': '1.218', 'grad_norm': '7.923', 'learning_rate': '1e-05', 'train/loss_infonce': '0.02466', 'train/loss_cot': '0.7941', 'epoch': '2.096'}

 42%|████▏     | 1310/3125 [05:11<1:23:46,  2.77s/it]
 42%|████▏     | 1311/3125 [05:14<1:24:57,  2.81s/it]
 42%|████▏     | 1312/3125 [05:16<1:24:05,  2.78s/it]
 42%|████▏     | 1313/3125 [05:19<1:23:23,  2.76s/it]
 42%|████▏     | 1314/3125 [05:21<1:20:53,  2.68s/it]
 42%|████▏     | 1315/3125 [05:24<1:20:20,  2.66s/it]
 42%|████▏     | 1316/3125 [05:27<1:21:35,  2.71s/it]
 42%|████▏     | 1317/3125 [05:29<1:19:17,  2.63s/it]
 42%|████▏     | 1318/3125 [05:32<1:21:07,  2.69s/it]
 42%|████▏     | 1319/3125 [05:35<1:20:21,  2.67s/it]
 42%|████▏     | 1320/3125 [05:37<1:19:03,  2.63s/it]
                                                     
{'loss': '1.19', 'grad_norm': '6.648', 'learning_rate': '1e-05', 'train/loss_infonce': '0.126', 'train/loss_cot': '1.008', 'epoch': '2.112'}

 42%|████▏     | 1320/3125 [05:38<1:19:03,  2.63s/it]
 42%|████▏     | 1321/3125 [05:40<1:18:51,  2.62s/it]
 42%|████▏     | 1322/3125 [05:43<1:21:58,  2.73s/it]
 42%|████▏     | 1323/3125 [05:46<1:20:52,  2.69s/it]
 42%|████▏     | 1324/3125 [05:48<1:20:18,  2.68s/it]
 42%|████▏     | 1325/3125 [05:51<1:20:44,  2.69s/it]
 42%|████▏     | 1326/3125 [05:53<1:19:31,  2.65s/it]
 42%|████▏     | 1327/3125 [05:56<1:17:47,  2.60s/it]
 42%|████▏     | 1328/3125 [06:00<1:31:11,  3.04s/it]
 43%|████▎     | 1329/3125 [06:03<1:27:36,  2.93s/it]
 43%|████▎     | 1330/3125 [06:05<1:26:04,  2.88s/it]
                                                     
{'loss': '1.187', 'grad_norm': '6.496', 'learning_rate': '1e-05', 'train/loss_infonce': '0.124', 'train/loss_cot': '0.8749', 'epoch': '2.128'}

 43%|████▎     | 1330/3125 [06:06<1:26:04,  2.88s/it]
 43%|████▎     | 1331/3125 [06:08<1:23:37,  2.80s/it]
 43%|████▎     | 1332/3125 [06:11<1:21:30,  2.73s/it]
 43%|████▎     | 1333/3125 [06:13<1:21:22,  2.72s/it]
 43%|████▎     | 1334/3125 [06:16<1:19:37,  2.67s/it]
 43%|████▎     | 1335/3125 [06:18<1:17:33,  2.60s/it]
 43%|████▎     | 1336/3125 [06:21<1:21:16,  2.73s/it]
 43%|████▎     | 1337/3125 [06:24<1:19:43,  2.68s/it]
 43%|████▎     | 1338/3125 [06:27<1:22:32,  2.77s/it]
 43%|████▎     | 1339/3125 [06:30<1:21:17,  2.73s/it]
 43%|████▎     | 1340/3125 [06:33<1:27:15,  2.93s/it]
                                                     
{'loss': '1.208', 'grad_norm': '9.786', 'learning_rate': '1e-05', 'train/loss_infonce': '0.02893', 'train/loss_cot': '1.2', 'epoch': '2.144'}

 43%|████▎     | 1340/3125 [06:33<1:27:15,  2.93s/it]
 43%|████▎     | 1341/3125 [06:36<1:24:46,  2.85s/it]
 43%|████▎     | 1342/3125 [06:38<1:22:34,  2.78s/it]
 43%|████▎     | 1343/3125 [06:41<1:26:34,  2.91s/it]
 43%|████▎     | 1344/3125 [06:44<1:23:08,  2.80s/it]
 43%|████▎     | 1345/3125 [06:47<1:22:43,  2.79s/it]
 43%|████▎     | 1346/3125 [06:49<1:22:19,  2.78s/it]
 43%|████▎     | 1347/3125 [06:52<1:19:22,  2.68s/it]
 43%|████▎     | 1348/3125 [06:54<1:17:53,  2.63s/it]
 43%|████▎     | 1349/3125 [06:57<1:17:45,  2.63s/it]
 43%|████▎     | 1350/3125 [07:00<1:18:40,  2.66s/it]
                                                     
{'loss': '1.181', 'grad_norm': '5.429', 'learning_rate': '1e-05', 'train/loss_infonce': '0.001717', 'train/loss_cot': '1.005', 'epoch': '2.16'}

 43%|████▎     | 1350/3125 [07:00<1:18:40,  2.66s/it]
 43%|████▎     | 1351/3125 [07:03<1:21:32,  2.76s/it]
 43%|████▎     | 1352/3125 [07:06<1:22:33,  2.79s/it]
 43%|████▎     | 1353/3125 [07:08<1:21:12,  2.75s/it]
 43%|████▎     | 1354/3125 [07:11<1:20:40,  2.73s/it]
 43%|████▎     | 1355/3125 [07:14<1:22:41,  2.80s/it]
 43%|████▎     | 1356/3125 [07:17<1:21:36,  2.77s/it]
 43%|████▎     | 1357/3125 [07:20<1:25:44,  2.91s/it]
 43%|████▎     | 1358/3125 [07:23<1:22:56,  2.82s/it]
 43%|████▎     | 1359/3125 [07:25<1:21:36,  2.77s/it]
 44%|████▎     | 1360/3125 [07:28<1:18:31,  2.67s/it]
                                                     
{'loss': '1.205', 'grad_norm': '5.808', 'learning_rate': '1e-05', 'train/loss_infonce': '0.01843', 'train/loss_cot': '1.143', 'epoch': '2.176'}

 44%|████▎     | 1360/3125 [07:28<1:18:31,  2.67s/it]
 44%|████▎     | 1361/3125 [07:30<1:18:03,  2.65s/it]
 44%|████▎     | 1362/3125 [07:33<1:18:39,  2.68s/it]
 44%|████▎     | 1363/3125 [07:36<1:21:21,  2.77s/it]
 44%|████▎     | 1364/3125 [07:38<1:18:43,  2.68s/it]
 44%|████▎     | 1365/3125 [07:42<1:25:44,  2.92s/it]
 44%|████▎     | 1366/3125 [07:45<1:25:39,  2.92s/it]
 44%|████▎     | 1367/3125 [07:48<1:28:44,  3.03s/it]
 44%|████▍     | 1368/3125 [07:51<1:29:00,  3.04s/it]
 44%|████▍     | 1369/3125 [07:54<1:26:44,  2.96s/it]
 44%|████▍     | 1370/3125 [07:57<1:24:39,  2.89s/it]
                                                     
{'loss': '1.166', 'grad_norm': '6.158', 'learning_rate': '1e-05', 'train/loss_infonce': '0.006927', 'train/loss_cot': '0.8185', 'epoch': '2.192'}

 44%|████▍     | 1370/3125 [07:57<1:24:39,  2.89s/it]
 44%|████▍     | 1371/3125 [07:59<1:23:15,  2.85s/it]
 44%|████▍     | 1372/3125 [08:02<1:21:09,  2.78s/it]
 44%|████▍     | 1373/3125 [08:05<1:20:46,  2.77s/it]
 44%|████▍     | 1374/3125 [08:07<1:19:21,  2.72s/it]
 44%|████▍     | 1375/3125 [08:11<1:27:41,  3.01s/it]
 44%|████▍     | 1376/3125 [08:14<1:24:43,  2.91s/it]
 44%|████▍     | 1377/3125 [08:16<1:22:20,  2.83s/it]
 44%|████▍     | 1378/3125 [08:20<1:24:53,  2.92s/it]
 44%|████▍     | 1379/3125 [08:22<1:21:03,  2.79s/it]
 44%|████▍     | 1380/3125 [08:25<1:20:48,  2.78s/it]
                                                     
{'loss': '1.16', 'grad_norm': '5.463', 'learning_rate': '1e-05', 'train/loss_infonce': '0.01624', 'train/loss_cot': '1.312', 'epoch': '2.208'}

 44%|████▍     | 1380/3125 [08:25<1:20:48,  2.78s/it]
 44%|████▍     | 1381/3125 [08:28<1:22:10,  2.83s/it]
 44%|████▍     | 1382/3125 [08:30<1:20:38,  2.78s/it]
 44%|████▍     | 1383/3125 [08:33<1:18:37,  2.71s/it]
 44%|████▍     | 1384/3125 [08:36<1:19:46,  2.75s/it]
 44%|████▍     | 1385/3125 [08:39<1:23:09,  2.87s/it]
 44%|████▍     | 1386/3125 [08:42<1:22:23,  2.84s/it]
 44%|████▍     | 1387/3125 [08:44<1:19:32,  2.75s/it]
 44%|████▍     | 1388/3125 [08:47<1:20:17,  2.77s/it]
 44%|████▍     | 1389/3125 [08:50<1:18:35,  2.72s/it]
 44%|████▍     | 1390/3125 [08:52<1:19:39,  2.75s/it]
                                                     
{'loss': '1.194', 'grad_norm': '6.727', 'learning_rate': '1e-05', 'train/loss_infonce': '0.2178', 'train/loss_cot': '1.002', 'epoch': '2.224'}

 44%|████▍     | 1390/3125 [08:53<1:19:39,  2.75s/it]
 45%|████▍     | 1391/3125 [08:55<1:19:46,  2.76s/it]
 45%|████▍     | 1392/3125 [08:58<1:18:30,  2.72s/it]
 45%|████▍     | 1393/3125 [09:01<1:18:28,  2.72s/it]
 45%|████▍     | 1394/3125 [09:03<1:19:08,  2.74s/it]
 45%|████▍     | 1395/3125 [09:07<1:25:07,  2.95s/it]
 45%|████▍     | 1396/3125 [09:09<1:21:24,  2.82s/it]
 45%|████▍     | 1397/3125 [09:12<1:23:17,  2.89s/it]
 45%|████▍     | 1398/3125 [09:15<1:21:58,  2.85s/it]
 45%|████▍     | 1399/3125 [09:19<1:31:16,  3.17s/it]
 45%|████▍     | 1400/3125 [09:22<1:27:11,  3.03s/it]
                                                     
{'loss': '1.23', 'grad_norm': '5.633', 'learning_rate': '1e-05', 'train/loss_infonce': '0.0009041', 'train/loss_cot': '1.322', 'epoch': '2.24'}

 45%|████▍     | 1400/3125 [09:22<1:27:11,  3.03s/it]mtime may not be reliable on this filesystem, falling back to numerical ordering

 45%|████▍     | 1401/3125 [09:41<3:42:47,  7.75s/it]
 45%|████▍     | 1402/3125 [09:43<2:59:45,  6.26s/it]
 45%|████▍     | 1403/3125 [09:46<2:28:12,  5.16s/it]
 45%|████▍     | 1404/3125 [09:48<2:05:50,  4.39s/it]
 45%|████▍     | 1405/3125 [09:52<1:54:36,  4.00s/it]
 45%|████▍     | 1406/3125 [09:54<1:43:09,  3.60s/it]
 45%|████▌     | 1407/3125 [09:57<1:35:47,  3.35s/it]
 45%|████▌     | 1408/3125 [10:00<1:30:31,  3.16s/it]
 45%|████▌     | 1409/3125 [10:03<1:31:23,  3.20s/it]
 45%|████▌     | 1410/3125 [10:06<1:28:05,  3.08s/it]
                                                     
{'loss': '1.144', 'grad_norm': '9.349', 'learning_rate': '1e-05', 'train/loss_infonce': '0.00386', 'train/loss_cot': '1.238', 'epoch': '2.256'}

 45%|████▌     | 1410/3125 [10:06<1:28:05,  3.08s/it]
 45%|████▌     | 1411/3125 [10:10<1:33:16,  3.27s/it]
 45%|████▌     | 1412/3125 [10:13<1:30:45,  3.18s/it]
 45%|████▌     | 1413/3125 [10:15<1:26:23,  3.03s/it]
 45%|████▌     | 1414/3125 [10:18<1:23:09,  2.92s/it]
 45%|████▌     | 1415/3125 [10:20<1:20:01,  2.81s/it]
 45%|████▌     | 1416/3125 [10:23<1:20:47,  2.84s/it]
 45%|████▌     | 1417/3125 [10:27<1:24:40,  2.97s/it]
 45%|████▌     | 1418/3125 [10:29<1:21:27,  2.86s/it]
 45%|████▌     | 1419/3125 [10:32<1:21:59,  2.88s/it]
 45%|████▌     | 1420/3125 [10:35<1:18:29,  2.76s/it]
                                                     
{'loss': '1.214', 'grad_norm': '6.526', 'learning_rate': '1e-05', 'train/loss_infonce': '0.0835', 'train/loss_cot': '1.115', 'epoch': '2.272'}

 45%|████▌     | 1420/3125 [10:35<1:18:29,  2.76s/it]
 45%|████▌     | 1421/3125 [10:38<1:22:23,  2.90s/it]
 46%|████▌     | 1422/3125 [10:40<1:19:15,  2.79s/it]
 46%|████▌     | 1423/3125 [10:43<1:16:47,  2.71s/it]
 46%|████▌     | 1424/3125 [10:46<1:16:18,  2.69s/it]
 46%|████▌     | 1425/3125 [10:48<1:17:12,  2.73s/it]
 46%|████▌     | 1426/3125 [10:51<1:16:09,  2.69s/it]
 46%|████▌     | 1427/3125 [10:54<1:18:29,  2.77s/it]
 46%|████▌     | 1428/3125 [10:57<1:21:01,  2.86s/it]
 46%|████▌     | 1429/3125 [10:59<1:17:00,  2.72s/it]
 46%|████▌     | 1430/3125 [11:02<1:16:00,  2.69s/it]
                                                     
{'loss': '1.255', 'grad_norm': '5.664', 'learning_rate': '1e-05', 'train/loss_infonce': '0.1143', 'train/loss_cot': '0.888', 'epoch': '2.288'}

 46%|████▌     | 1430/3125 [11:02<1:16:00,  2.69s/it]
 46%|████▌     | 1431/3125 [11:05<1:15:52,  2.69s/it]
 46%|████▌     | 1432/3125 [11:07<1:16:14,  2.70s/it]
 46%|████▌     | 1433/3125 [11:10<1:15:58,  2.69s/it]
 46%|████▌     | 1434/3125 [11:13<1:14:36,  2.65s/it]
 46%|████▌     | 1435/3125 [11:16<1:16:37,  2.72s/it]
 46%|████▌     | 1436/3125 [11:19<1:19:20,  2.82s/it]
 46%|████▌     | 1437/3125 [11:21<1:18:58,  2.81s/it]
 46%|████▌     | 1438/3125 [11:25<1:25:03,  3.03s/it]
 46%|████▌     | 1439/3125 [11:28<1:22:17,  2.93s/it]
 46%|████▌     | 1440/3125 [11:31<1:22:25,  2.94s/it]
                                                     
{'loss': '1.291', 'grad_norm': '10.11', 'learning_rate': '1e-05', 'train/loss_infonce': '0.03369', 'train/loss_cot': '1.043', 'epoch': '2.304'}

 46%|████▌     | 1440/3125 [11:31<1:22:25,  2.94s/it]
 46%|████▌     | 1441/3125 [11:33<1:18:52,  2.81s/it]
 46%|████▌     | 1442/3125 [11:36<1:16:26,  2.73s/it]
 46%|████▌     | 1443/3125 [11:38<1:17:00,  2.75s/it]
 46%|████▌     | 1444/3125 [11:41<1:14:39,  2.66s/it]
 46%|████▌     | 1445/3125 [11:44<1:15:21,  2.69s/it]
 46%|████▋     | 1446/3125 [11:46<1:15:37,  2.70s/it]
 46%|████▋     | 1447/3125 [11:49<1:15:42,  2.71s/it]
 46%|████▋     | 1448/3125 [11:52<1:15:32,  2.70s/it]
 46%|████▋     | 1449/3125 [11:54<1:13:56,  2.65s/it]
 46%|████▋     | 1450/3125 [11:57<1:13:44,  2.64s/it]
                                                     
{'loss': '1.131', 'grad_norm': '5.072', 'learning_rate': '1e-05', 'train/loss_infonce': '0.04712', 'train/loss_cot': '0.7999', 'epoch': '2.32'}

 46%|████▋     | 1450/3125 [11:57<1:13:44,  2.64s/it]
 46%|████▋     | 1451/3125 [12:00<1:17:07,  2.76s/it]
 46%|████▋     | 1452/3125 [12:02<1:15:08,  2.70s/it]
 46%|████▋     | 1453/3125 [12:05<1:17:39,  2.79s/it]
 47%|████▋     | 1454/3125 [12:08<1:15:02,  2.69s/it]
 47%|████▋     | 1455/3125 [12:11<1:17:42,  2.79s/it]
 47%|████▋     | 1456/3125 [12:13<1:14:37,  2.68s/it]
 47%|████▋     | 1457/3125 [12:16<1:13:22,  2.64s/it]
 47%|████▋     | 1458/3125 [12:19<1:13:05,  2.63s/it]
 47%|████▋     | 1459/3125 [12:21<1:13:43,  2.66s/it]
 47%|████▋     | 1460/3125 [12:24<1:12:21,  2.61s/it]
                                                     
{'loss': '1.206', 'grad_norm': '7.059', 'learning_rate': '1e-05', 'train/loss_infonce': '0.01117', 'train/loss_cot': '1.28', 'epoch': '2.336'}

 47%|████▋     | 1460/3125 [12:24<1:12:21,  2.61s/it]
 47%|████▋     | 1461/3125 [12:27<1:13:46,  2.66s/it]
 47%|████▋     | 1462/3125 [12:30<1:18:05,  2.82s/it]
 47%|████▋     | 1463/3125 [12:33<1:18:57,  2.85s/it]
 47%|████▋     | 1464/3125 [12:36<1:19:55,  2.89s/it]
 47%|████▋     | 1465/3125 [12:38<1:16:40,  2.77s/it]
 47%|████▋     | 1466/3125 [12:41<1:15:28,  2.73s/it]
 47%|████▋     | 1467/3125 [12:44<1:16:55,  2.78s/it]
 47%|████▋     | 1468/3125 [12:47<1:17:53,  2.82s/it]
 47%|████▋     | 1469/3125 [12:50<1:18:50,  2.86s/it]
 47%|████▋     | 1470/3125 [12:52<1:15:16,  2.73s/it]
                                                     
{'loss': '1.159', 'grad_norm': '6.841', 'learning_rate': '1e-05', 'train/loss_infonce': '0.08301', 'train/loss_cot': '0.9938', 'epoch': '2.352'}

 47%|████▋     | 1470/3125 [12:52<1:15:16,  2.73s/it]
 47%|████▋     | 1471/3125 [12:55<1:15:39,  2.74s/it]
 47%|████▋     | 1472/3125 [12:57<1:14:59,  2.72s/it]
 47%|████▋     | 1473/3125 [13:00<1:13:38,  2.67s/it]
 47%|████▋     | 1474/3125 [13:03<1:16:31,  2.78s/it]
 47%|████▋     | 1475/3125 [13:06<1:17:31,  2.82s/it]
 47%|████▋     | 1476/3125 [13:09<1:16:16,  2.78s/it]
 47%|████▋     | 1477/3125 [13:11<1:13:24,  2.67s/it]
 47%|████▋     | 1478/3125 [13:14<1:13:42,  2.69s/it]
 47%|████▋     | 1479/3125 [13:16<1:12:17,  2.64s/it]
 47%|████▋     | 1480/3125 [13:19<1:16:49,  2.80s/it]
                                                     
{'loss': '1.272', 'grad_norm': '6.188', 'learning_rate': '1e-05', 'train/loss_infonce': '0.04712', 'train/loss_cot': '1.353', 'epoch': '2.368'}

 47%|████▋     | 1480/3125 [13:20<1:16:49,  2.80s/it]
 47%|████▋     | 1481/3125 [13:22<1:16:04,  2.78s/it]
 47%|████▋     | 1482/3125 [13:25<1:15:58,  2.77s/it]
 47%|████▋     | 1483/3125 [13:28<1:15:06,  2.74s/it]
 47%|████▋     | 1484/3125 [13:30<1:11:29,  2.61s/it]
 48%|████▊     | 1485/3125 [13:33<1:13:28,  2.69s/it]
 48%|████▊     | 1486/3125 [13:36<1:15:20,  2.76s/it]
 48%|████▊     | 1487/3125 [13:39<1:15:59,  2.78s/it]
 48%|████▊     | 1488/3125 [13:41<1:15:44,  2.78s/it]
 48%|████▊     | 1489/3125 [13:44<1:15:16,  2.76s/it]
 48%|████▊     | 1490/3125 [13:47<1:14:49,  2.75s/it]
                                                     
{'loss': '1.281', 'grad_norm': '5.982', 'learning_rate': '1e-05', 'train/loss_infonce': '0.332', 'train/loss_cot': '1.231', 'epoch': '2.384'}

 48%|████▊     | 1490/3125 [13:47<1:14:49,  2.75s/it]
 48%|████▊     | 1491/3125 [13:50<1:17:30,  2.85s/it]
 48%|████▊     | 1492/3125 [13:52<1:14:38,  2.74s/it]
 48%|████▊     | 1493/3125 [13:56<1:24:19,  3.10s/it]
 48%|████▊     | 1494/3125 [13:59<1:23:33,  3.07s/it]
 48%|████▊     | 1495/3125 [14:02<1:23:40,  3.08s/it]
 48%|████▊     | 1496/3125 [14:05<1:20:38,  2.97s/it]
 48%|████▊     | 1497/3125 [14:08<1:19:19,  2.92s/it]
 48%|████▊     | 1498/3125 [14:10<1:16:41,  2.83s/it]
 48%|████▊     | 1499/3125 [14:13<1:17:32,  2.86s/it]
 48%|████▊     | 1500/3125 [14:16<1:18:22,  2.89s/it]
                                                     
{'loss': '1.213', 'grad_norm': '10.42', 'learning_rate': '1e-05', 'train/loss_infonce': '0.06592', 'train/loss_cot': '0.9286', 'epoch': '2.4'}

 48%|████▊     | 1500/3125 [14:17<1:18:22,  2.89s/it]
 48%|████▊     | 1501/3125 [14:19<1:17:07,  2.85s/it]
 48%|████▊     | 1502/3125 [14:22<1:15:23,  2.79s/it]
 48%|████▊     | 1503/3125 [14:26<1:23:37,  3.09s/it]
 48%|████▊     | 1504/3125 [14:28<1:21:10,  3.00s/it]
 48%|████▊     | 1505/3125 [14:31<1:17:37,  2.87s/it]
 48%|████▊     | 1506/3125 [14:34<1:16:15,  2.83s/it]
 48%|████▊     | 1507/3125 [14:36<1:14:49,  2.77s/it]
 48%|████▊     | 1508/3125 [14:39<1:12:16,  2.68s/it]
 48%|████▊     | 1509/3125 [14:42<1:19:16,  2.94s/it]
 48%|████▊     | 1510/3125 [14:45<1:16:14,  2.83s/it]
                                                     
{'loss': '1.179', 'grad_norm': '8.327', 'learning_rate': '1e-05', 'train/loss_infonce': '0.02014', 'train/loss_cot': '1.373', 'epoch': '2.416'}

 48%|████▊     | 1510/3125 [14:45<1:16:14,  2.83s/it]
 48%|████▊     | 1511/3125 [14:48<1:15:20,  2.80s/it]
 48%|████▊     | 1512/3125 [14:51<1:16:20,  2.84s/it]
 48%|████▊     | 1513/3125 [14:53<1:16:41,  2.85s/it]
 48%|████▊     | 1514/3125 [14:57<1:18:13,  2.91s/it]
 48%|████▊     | 1515/3125 [14:59<1:15:29,  2.81s/it]
 49%|████▊     | 1516/3125 [15:02<1:15:27,  2.81s/it]
 49%|████▊     | 1517/3125 [15:05<1:15:28,  2.82s/it]
 49%|████▊     | 1518/3125 [15:07<1:12:55,  2.72s/it]
 49%|████▊     | 1519/3125 [15:10<1:12:31,  2.71s/it]
 49%|████▊     | 1520/3125 [15:13<1:14:08,  2.77s/it]
                                                     
{'loss': '1.252', 'grad_norm': '11.81', 'learning_rate': '1e-05', 'train/loss_infonce': '0.1074', 'train/loss_cot': '1.505', 'epoch': '2.432'}

 49%|████▊     | 1520/3125 [15:13<1:14:08,  2.77s/it]
 49%|████▊     | 1521/3125 [15:16<1:17:10,  2.89s/it]
 49%|████▊     | 1522/3125 [15:19<1:21:40,  3.06s/it]
 49%|████▊     | 1523/3125 [15:23<1:23:59,  3.15s/it]
 49%|████▉     | 1524/3125 [15:26<1:23:28,  3.13s/it]
 49%|████▉     | 1525/3125 [15:30<1:28:19,  3.31s/it]
 49%|████▉     | 1526/3125 [15:32<1:21:51,  3.07s/it]
 49%|████▉     | 1527/3125 [15:35<1:22:11,  3.09s/it]
 49%|████▉     | 1528/3125 [15:38<1:20:09,  3.01s/it]
 49%|████▉     | 1529/3125 [15:41<1:16:52,  2.89s/it]
 49%|████▉     | 1530/3125 [15:44<1:17:56,  2.93s/it]
                                                     
{'loss': '1.194', 'grad_norm': '5.693', 'learning_rate': '1e-05', 'train/loss_infonce': '0.01495', 'train/loss_cot': '1.145', 'epoch': '2.448'}

 49%|████▉     | 1530/3125 [15:44<1:17:56,  2.93s/it]
 49%|████▉     | 1531/3125 [15:47<1:18:20,  2.95s/it]
 49%|████▉     | 1532/3125 [15:49<1:16:51,  2.89s/it]
 49%|████▉     | 1533/3125 [15:52<1:14:03,  2.79s/it]
 49%|████▉     | 1534/3125 [15:55<1:16:07,  2.87s/it]
 49%|████▉     | 1535/3125 [15:58<1:17:24,  2.92s/it]
 49%|████▉     | 1536/3125 [16:01<1:16:46,  2.90s/it]
 49%|████▉     | 1537/3125 [16:04<1:14:14,  2.81s/it]
 49%|████▉     | 1538/3125 [16:06<1:13:39,  2.78s/it]
 49%|████▉     | 1539/3125 [16:09<1:15:58,  2.87s/it]
 49%|████▉     | 1540/3125 [16:12<1:16:04,  2.88s/it]
                                                     
{'loss': '1.187', 'grad_norm': '5.551', 'learning_rate': '1e-05', 'train/loss_infonce': '0.008179', 'train/loss_cot': '0.8784', 'epoch': '2.464'}

 49%|████▉     | 1540/3125 [16:13<1:16:04,  2.88s/it]
 49%|████▉     | 1541/3125 [16:16<1:22:17,  3.12s/it]
 49%|████▉     | 1542/3125 [16:20<1:27:03,  3.30s/it]
 49%|████▉     | 1543/3125 [16:22<1:21:09,  3.08s/it]
 49%|████▉     | 1544/3125 [16:25<1:18:17,  2.97s/it]
 49%|████▉     | 1545/3125 [16:28<1:17:09,  2.93s/it]
 49%|████▉     | 1546/3125 [16:31<1:18:41,  2.99s/it]
 50%|████▉     | 1547/3125 [16:34<1:16:56,  2.93s/it]
 50%|████▉     | 1548/3125 [16:36<1:15:15,  2.86s/it]
 50%|████▉     | 1549/3125 [16:39<1:13:30,  2.80s/it]
 50%|████▉     | 1550/3125 [16:42<1:14:25,  2.84s/it]
                                                     
{'loss': '1.28', 'grad_norm': '7.464', 'learning_rate': '1e-05', 'train/loss_infonce': '0.1455', 'train/loss_cot': '1.161', 'epoch': '2.48'}

 50%|████▉     | 1550/3125 [16:42<1:14:25,  2.84s/it]
 50%|████▉     | 1551/3125 [16:45<1:14:20,  2.83s/it]
 50%|████▉     | 1552/3125 [16:47<1:13:01,  2.79s/it]
 50%|████▉     | 1553/3125 [16:50<1:12:35,  2.77s/it]
 50%|████▉     | 1554/3125 [16:53<1:13:21,  2.80s/it]
 50%|████▉     | 1555/3125 [16:56<1:12:06,  2.76s/it]
 50%|████▉     | 1556/3125 [16:58<1:10:32,  2.70s/it]
 50%|████▉     | 1557/3125 [17:01<1:13:03,  2.80s/it]
 50%|████▉     | 1558/3125 [17:04<1:13:37,  2.82s/it]
 50%|████▉     | 1559/3125 [17:07<1:11:52,  2.75s/it]
 50%|████▉     | 1560/3125 [17:09<1:10:58,  2.72s/it]
                                                     
{'loss': '1.186', 'grad_norm': '8.916', 'learning_rate': '1e-05', 'train/loss_infonce': '0.2246', 'train/loss_cot': '1.121', 'epoch': '2.496'}

 50%|████▉     | 1560/3125 [17:10<1:10:58,  2.72s/it]
 50%|████▉     | 1561/3125 [17:13<1:14:42,  2.87s/it]
 50%|████▉     | 1562/3125 [17:15<1:11:04,  2.73s/it]
 50%|█████     | 1563/3125 [17:17<1:08:39,  2.64s/it]
 50%|█████     | 1564/3125 [17:21<1:12:43,  2.80s/it]
 50%|█████     | 1565/3125 [17:24<1:13:31,  2.83s/it]
 50%|█████     | 1566/3125 [17:27<1:17:06,  2.97s/it]
 50%|█████     | 1567/3125 [17:30<1:16:03,  2.93s/it]
 50%|█████     | 1568/3125 [17:32<1:13:45,  2.84s/it]
 50%|█████     | 1569/3125 [17:35<1:11:11,  2.75s/it]
 50%|█████     | 1570/3125 [17:38<1:13:57,  2.85s/it]
                                                     
{'loss': '1.141', 'grad_norm': '6.972', 'learning_rate': '1e-05', 'train/loss_infonce': '0.008423', 'train/loss_cot': '1.36', 'epoch': '2.512'}

 50%|█████     | 1570/3125 [17:38<1:13:57,  2.85s/it]
 50%|█████     | 1571/3125 [17:41<1:12:55,  2.82s/it]
 50%|█████     | 1572/3125 [17:43<1:11:55,  2.78s/it]
 50%|█████     | 1573/3125 [17:46<1:13:24,  2.84s/it]
 50%|█████     | 1574/3125 [17:50<1:17:04,  2.98s/it]
 50%|█████     | 1575/3125 [17:52<1:15:35,  2.93s/it]
 50%|█████     | 1576/3125 [17:55<1:15:04,  2.91s/it]
 50%|█████     | 1577/3125 [17:58<1:14:58,  2.91s/it]
 50%|█████     | 1578/3125 [18:01<1:13:39,  2.86s/it]
 51%|█████     | 1579/3125 [18:04<1:12:26,  2.81s/it]
 51%|█████     | 1580/3125 [18:08<1:22:17,  3.20s/it]
                                                     
{'loss': '1.191', 'grad_norm': '10.7', 'learning_rate': '1e-05', 'train/loss_infonce': '0.005615', 'train/loss_cot': '1.451', 'epoch': '2.528'}

 51%|█████     | 1580/3125 [18:08<1:22:17,  3.20s/it]
 51%|█████     | 1581/3125 [18:11<1:19:55,  3.11s/it]
 51%|█████     | 1582/3125 [18:14<1:18:35,  3.06s/it]
 51%|█████     | 1583/3125 [18:16<1:16:59,  3.00s/it]
 51%|█████     | 1584/3125 [18:19<1:16:25,  2.98s/it]
 51%|█████     | 1585/3125 [18:22<1:15:50,  2.95s/it]
 51%|█████     | 1586/3125 [18:25<1:14:10,  2.89s/it]
 51%|█████     | 1587/3125 [18:27<1:09:56,  2.73s/it]
 51%|█████     | 1588/3125 [18:30<1:09:55,  2.73s/it]
 51%|█████     | 1589/3125 [18:34<1:21:12,  3.17s/it]
 51%|█████     | 1590/3125 [18:38<1:21:26,  3.18s/it]
                                                     
{'loss': '1.311', 'grad_norm': '6.456', 'learning_rate': '1e-05', 'train/loss_infonce': '0.01831', 'train/loss_cot': '1.249', 'epoch': '2.544'}

 51%|█████     | 1590/3125 [18:38<1:21:26,  3.18s/it]
 51%|█████     | 1591/3125 [18:42<1:31:45,  3.59s/it]
 51%|█████     | 1592/3125 [18:45<1:26:03,  3.37s/it]
 51%|█████     | 1593/3125 [18:49<1:28:27,  3.46s/it]
 51%|█████     | 1594/3125 [18:51<1:22:52,  3.25s/it]
 51%|█████     | 1595/3125 [18:55<1:24:05,  3.30s/it]
 51%|█████     | 1596/3125 [18:57<1:18:43,  3.09s/it]
 51%|█████     | 1597/3125 [19:00<1:16:15,  2.99s/it]
 51%|█████     | 1598/3125 [19:03<1:14:57,  2.95s/it]
 51%|█████     | 1599/3125 [19:07<1:20:12,  3.15s/it]
 51%|█████     | 1600/3125 [19:09<1:16:19,  3.00s/it]
                                                     
{'loss': '1.176', 'grad_norm': '5.817', 'learning_rate': '1e-05', 'train/loss_infonce': '0.1562', 'train/loss_cot': '1.058', 'epoch': '2.56'}

 51%|█████     | 1600/3125 [19:10<1:16:19,  3.00s/it]
 51%|█████     | 1601/3125 [19:28<3:18:02,  7.80s/it]
 51%|█████▏    | 1602/3125 [19:31<2:40:09,  6.31s/it]
 51%|█████▏    | 1603/3125 [19:34<2:14:24,  5.30s/it]
 51%|█████▏    | 1604/3125 [19:37<1:55:09,  4.54s/it]
 51%|█████▏    | 1605/3125 [19:40<1:43:27,  4.08s/it]
 51%|█████▏    | 1606/3125 [19:43<1:35:48,  3.78s/it]
 51%|█████▏    | 1607/3125 [19:46<1:27:13,  3.45s/it]
 51%|█████▏    | 1608/3125 [19:48<1:23:03,  3.29s/it]
 51%|█████▏    | 1609/3125 [19:51<1:18:20,  3.10s/it]
 52%|█████▏    | 1610/3125 [19:54<1:15:18,  2.98s/it]
                                                     
{'loss': '1.197', 'grad_norm': '5.939', 'learning_rate': '1e-05', 'train/loss_infonce': '0.02271', 'train/loss_cot': '0.9068', 'epoch': '2.576'}

 52%|█████▏    | 1610/3125 [19:54<1:15:18,  2.98s/it]
 52%|█████▏    | 1611/3125 [19:56<1:12:05,  2.86s/it]
 52%|█████▏    | 1612/3125 [19:59<1:10:40,  2.80s/it]
 52%|█████▏    | 1613/3125 [20:02<1:08:35,  2.72s/it]
 52%|█████▏    | 1614/3125 [20:04<1:08:53,  2.74s/it]
 52%|█████▏    | 1615/3125 [20:07<1:07:49,  2.69s/it]
 52%|█████▏    | 1616/3125 [20:10<1:09:17,  2.75s/it]
 52%|█████▏    | 1617/3125 [20:13<1:09:11,  2.75s/it]
 52%|█████▏    | 1618/3125 [20:16<1:11:52,  2.86s/it]
 52%|█████▏    | 1619/3125 [20:18<1:09:42,  2.78s/it]
 52%|█████▏    | 1620/3125 [20:21<1:09:54,  2.79s/it]
                                                     
{'loss': '1.222', 'grad_norm': '9.275', 'learning_rate': '1e-05', 'train/loss_infonce': '0.003189', 'train/loss_cot': '1.259', 'epoch': '2.592'}

 52%|█████▏    | 1620/3125 [20:22<1:09:54,  2.79s/it]
 52%|█████▏    | 1621/3125 [20:24<1:10:02,  2.79s/it]
 52%|█████▏    | 1622/3125 [20:26<1:08:05,  2.72s/it]
 52%|█████▏    | 1623/3125 [20:29<1:09:27,  2.77s/it]
 52%|█████▏    | 1624/3125 [20:33<1:12:08,  2.88s/it]
 52%|█████▏    | 1625/3125 [20:35<1:09:41,  2.79s/it]
 52%|█████▏    | 1626/3125 [20:38<1:10:07,  2.81s/it]
 52%|█████▏    | 1627/3125 [20:41<1:09:51,  2.80s/it]
 52%|█████▏    | 1628/3125 [20:43<1:07:35,  2.71s/it]
 52%|█████▏    | 1629/3125 [20:46<1:06:01,  2.65s/it]
 52%|█████▏    | 1630/3125 [20:49<1:10:04,  2.81s/it]
                                                     
{'loss': '1.241', 'grad_norm': '6.941', 'learning_rate': '1e-05', 'train/loss_infonce': '0.2383', 'train/loss_cot': '0.9823', 'epoch': '2.608'}

 52%|█████▏    | 1630/3125 [20:49<1:10:04,  2.81s/it]
 52%|█████▏    | 1631/3125 [20:52<1:10:33,  2.83s/it]
 52%|█████▏    | 1632/3125 [20:54<1:07:45,  2.72s/it]
 52%|█████▏    | 1633/3125 [20:57<1:10:30,  2.84s/it]
 52%|█████▏    | 1634/3125 [21:01<1:13:00,  2.94s/it]
 52%|█████▏    | 1635/3125 [21:03<1:11:51,  2.89s/it]
 52%|█████▏    | 1636/3125 [21:06<1:11:40,  2.89s/it]
 52%|█████▏    | 1637/3125 [21:09<1:12:14,  2.91s/it]
 52%|█████▏    | 1638/3125 [21:12<1:09:35,  2.81s/it]
 52%|█████▏    | 1639/3125 [21:15<1:11:09,  2.87s/it]
 52%|█████▏    | 1640/3125 [21:18<1:10:50,  2.86s/it]
                                                     
{'loss': '1.248', 'grad_norm': '6.295', 'learning_rate': '1e-05', 'train/loss_infonce': '0.04272', 'train/loss_cot': '1.242', 'epoch': '2.624'}

 52%|█████▏    | 1640/3125 [21:18<1:10:50,  2.86s/it]
 53%|█████▎    | 1641/3125 [21:20<1:09:26,  2.81s/it]
 53%|█████▎    | 1642/3125 [21:24<1:12:57,  2.95s/it]
 53%|█████▎    | 1643/3125 [21:27<1:14:03,  3.00s/it]
 53%|█████▎    | 1644/3125 [21:29<1:11:10,  2.88s/it]
 53%|█████▎    | 1645/3125 [21:32<1:09:52,  2.83s/it]
 53%|█████▎    | 1646/3125 [21:35<1:09:48,  2.83s/it]
 53%|█████▎    | 1647/3125 [21:38<1:10:31,  2.86s/it]
 53%|█████▎    | 1648/3125 [21:41<1:10:30,  2.86s/it]
 53%|█████▎    | 1649/3125 [21:44<1:12:34,  2.95s/it]
 53%|█████▎    | 1650/3125 [21:47<1:12:31,  2.95s/it]
                                                     
{'loss': '1.255', 'grad_norm': '5.889', 'learning_rate': '1e-05', 'train/loss_infonce': '0.2324', 'train/loss_cot': '1.162', 'epoch': '2.64'}

 53%|█████▎    | 1650/3125 [21:47<1:12:31,  2.95s/it]
 53%|█████▎    | 1651/3125 [21:50<1:12:06,  2.94s/it]
 53%|█████▎    | 1652/3125 [21:53<1:13:08,  2.98s/it]
 53%|█████▎    | 1653/3125 [21:56<1:12:10,  2.94s/it]
 53%|█████▎    | 1654/3125 [21:59<1:12:09,  2.94s/it]
 53%|█████▎    | 1655/3125 [22:01<1:11:59,  2.94s/it]
 53%|█████▎    | 1656/3125 [22:04<1:12:27,  2.96s/it]
 53%|█████▎    | 1657/3125 [22:07<1:10:09,  2.87s/it]
 53%|█████▎    | 1658/3125 [22:10<1:08:11,  2.79s/it]
 53%|█████▎    | 1659/3125 [22:12<1:07:00,  2.74s/it]
 53%|█████▎    | 1660/3125 [22:15<1:06:36,  2.73s/it]
                                                     
{'loss': '1.205', 'grad_norm': '5.61', 'learning_rate': '1e-05', 'train/loss_infonce': '0.00647', 'train/loss_cot': '0.9052', 'epoch': '2.656'}

 53%|█████▎    | 1660/3125 [22:16<1:06:36,  2.73s/it]
 53%|█████▎    | 1661/3125 [22:19<1:12:27,  2.97s/it]
 53%|█████▎    | 1662/3125 [22:21<1:09:49,  2.86s/it]
 53%|█████▎    | 1663/3125 [22:24<1:05:52,  2.70s/it]
 53%|█████▎    | 1664/3125 [22:26<1:05:33,  2.69s/it]
 53%|█████▎    | 1665/3125 [22:29<1:05:11,  2.68s/it]
 53%|█████▎    | 1666/3125 [22:32<1:06:09,  2.72s/it]
 53%|█████▎    | 1667/3125 [22:35<1:09:50,  2.87s/it]
 53%|█████▎    | 1668/3125 [22:38<1:10:40,  2.91s/it]
 53%|█████▎    | 1669/3125 [22:41<1:09:39,  2.87s/it]
 53%|█████▎    | 1670/3125 [22:44<1:10:05,  2.89s/it]
                                                     
{'loss': '1.206', 'grad_norm': '5.497', 'learning_rate': '1e-05', 'train/loss_infonce': '0.007111', 'train/loss_cot': '1.189', 'epoch': '2.672'}

 53%|█████▎    | 1670/3125 [22:44<1:10:05,  2.89s/it]
 53%|█████▎    | 1671/3125 [22:47<1:13:42,  3.04s/it]
 54%|█████▎    | 1672/3125 [22:50<1:16:23,  3.15s/it]
 54%|█████▎    | 1673/3125 [22:53<1:15:01,  3.10s/it]
 54%|█████▎    | 1674/3125 [22:56<1:11:39,  2.96s/it]
 54%|█████▎    | 1675/3125 [22:59<1:11:08,  2.94s/it]
 54%|█████▎    | 1676/3125 [23:02<1:08:52,  2.85s/it]
 54%|█████▎    | 1677/3125 [23:04<1:06:55,  2.77s/it]
 54%|█████▎    | 1678/3125 [23:07<1:07:03,  2.78s/it]
 54%|█████▎    | 1679/3125 [23:10<1:05:38,  2.72s/it]
 54%|█████▍    | 1680/3125 [23:12<1:06:02,  2.74s/it]
                                                     
{'loss': '1.257', 'grad_norm': '5.173', 'learning_rate': '1e-05', 'train/loss_infonce': '0.08203', 'train/loss_cot': '1.105', 'epoch': '2.688'}

 54%|█████▍    | 1680/3125 [23:13<1:06:02,  2.74s/it]
 54%|█████▍    | 1681/3125 [23:15<1:06:41,  2.77s/it]
 54%|█████▍    | 1682/3125 [23:18<1:06:38,  2.77s/it]
 54%|█████▍    | 1683/3125 [23:21<1:05:56,  2.74s/it]
 54%|█████▍    | 1684/3125 [23:23<1:04:40,  2.69s/it]
 54%|█████▍    | 1685/3125 [23:27<1:09:15,  2.89s/it]
 54%|█████▍    | 1686/3125 [23:29<1:08:00,  2.84s/it]
 54%|█████▍    | 1687/3125 [23:32<1:06:43,  2.78s/it]
 54%|█████▍    | 1688/3125 [23:34<1:04:21,  2.69s/it]
 54%|█████▍    | 1689/3125 [23:37<1:04:22,  2.69s/it]
 54%|█████▍    | 1690/3125 [23:39<1:02:23,  2.61s/it]
                                                     
{'loss': '1.212', 'grad_norm': '6.714', 'learning_rate': '1e-05', 'train/loss_infonce': '0.125', 'train/loss_cot': '0.773', 'epoch': '2.704'}

 54%|█████▍    | 1690/3125 [23:40<1:02:23,  2.61s/it]
 54%|█████▍    | 1691/3125 [23:43<1:06:35,  2.79s/it]
 54%|█████▍    | 1692/3125 [23:46<1:09:47,  2.92s/it]
 54%|█████▍    | 1693/3125 [23:48<1:06:13,  2.77s/it]
 54%|█████▍    | 1694/3125 [23:51<1:04:52,  2.72s/it]
 54%|█████▍    | 1695/3125 [23:54<1:06:01,  2.77s/it]
 54%|█████▍    | 1696/3125 [23:57<1:06:58,  2.81s/it]
 54%|█████▍    | 1697/3125 [23:59<1:04:36,  2.71s/it]
 54%|█████▍    | 1698/3125 [24:02<1:06:10,  2.78s/it]
 54%|█████▍    | 1699/3125 [24:05<1:04:06,  2.70s/it]
 54%|█████▍    | 1700/3125 [24:07<1:03:40,  2.68s/it]
                                                     
{'loss': '1.21', 'grad_norm': '6.064', 'learning_rate': '1e-05', 'train/loss_infonce': '0.1357', 'train/loss_cot': '0.9565', 'epoch': '2.72'}

 54%|█████▍    | 1700/3125 [24:08<1:03:40,  2.68s/it]
 54%|█████▍    | 1701/3125 [24:10<1:05:04,  2.74s/it]
 54%|█████▍    | 1702/3125 [24:13<1:06:46,  2.82s/it]
 54%|█████▍    | 1703/3125 [24:16<1:05:47,  2.78s/it]
 55%|█████▍    | 1704/3125 [24:19<1:05:57,  2.79s/it]
 55%|█████▍    | 1705/3125 [24:21<1:05:20,  2.76s/it]
 55%|█████▍    | 1706/3125 [24:24<1:06:03,  2.79s/it]
 55%|█████▍    | 1707/3125 [24:27<1:08:56,  2.92s/it]
 55%|█████▍    | 1708/3125 [24:30<1:07:04,  2.84s/it]
 55%|█████▍    | 1709/3125 [24:33<1:06:09,  2.80s/it]
 55%|█████▍    | 1710/3125 [24:36<1:05:21,  2.77s/it]
                                                     
{'loss': '1.157', 'grad_norm': '5.87', 'learning_rate': '1e-05', 'train/loss_infonce': '0.1504', 'train/loss_cot': '1.076', 'epoch': '2.736'}

 55%|█████▍    | 1710/3125 [24:36<1:05:21,  2.77s/it]
 55%|█████▍    | 1711/3125 [24:38<1:04:56,  2.76s/it]
 55%|█████▍    | 1712/3125 [24:41<1:05:58,  2.80s/it]
 55%|█████▍    | 1713/3125 [24:44<1:04:06,  2.72s/it]
 55%|█████▍    | 1714/3125 [24:47<1:05:38,  2.79s/it]
 55%|█████▍    | 1715/3125 [24:50<1:06:59,  2.85s/it]
 55%|█████▍    | 1716/3125 [24:52<1:05:06,  2.77s/it]
 55%|█████▍    | 1717/3125 [24:55<1:04:43,  2.76s/it]
 55%|█████▍    | 1718/3125 [24:58<1:04:51,  2.77s/it]
 55%|█████▌    | 1719/3125 [25:01<1:04:55,  2.77s/it]
 55%|█████▌    | 1720/3125 [25:03<1:04:02,  2.73s/it]
                                                     
{'loss': '1.189', 'grad_norm': '5.975', 'learning_rate': '1e-05', 'train/loss_infonce': '0.01471', 'train/loss_cot': '1.276', 'epoch': '2.752'}

 55%|█████▌    | 1720/3125 [25:04<1:04:02,  2.73s/it]
 55%|█████▌    | 1721/3125 [25:06<1:05:57,  2.82s/it]
 55%|█████▌    | 1722/3125 [25:09<1:05:35,  2.81s/it]
 55%|█████▌    | 1723/3125 [25:11<1:02:58,  2.70s/it]
 55%|█████▌    | 1724/3125 [25:14<1:02:04,  2.66s/it]
 55%|█████▌    | 1725/3125 [25:16<1:00:44,  2.60s/it]
 55%|█████▌    | 1726/3125 [25:19<1:00:13,  2.58s/it]
 55%|█████▌    | 1727/3125 [25:22<59:55,  2.57s/it]  
 55%|█████▌    | 1728/3125 [25:24<1:02:24,  2.68s/it]
 55%|█████▌    | 1729/3125 [25:27<1:03:17,  2.72s/it]
 55%|█████▌    | 1730/3125 [25:30<1:03:28,  2.73s/it]
                                                     
{'loss': '1.254', 'grad_norm': '6.991', 'learning_rate': '1e-05', 'train/loss_infonce': '0.104', 'train/loss_cot': '1.089', 'epoch': '2.768'}

 55%|█████▌    | 1730/3125 [25:30<1:03:28,  2.73s/it]
 55%|█████▌    | 1731/3125 [25:33<1:02:37,  2.70s/it]
 55%|█████▌    | 1732/3125 [25:35<1:03:39,  2.74s/it]
 55%|█████▌    | 1733/3125 [25:38<1:04:51,  2.80s/it]
 55%|█████▌    | 1734/3125 [25:41<1:04:44,  2.79s/it]
 56%|█████▌    | 1735/3125 [25:44<1:03:38,  2.75s/it]
 56%|█████▌    | 1736/3125 [25:47<1:08:00,  2.94s/it]
 56%|█████▌    | 1737/3125 [25:50<1:06:06,  2.86s/it]
 56%|█████▌    | 1738/3125 [25:53<1:06:10,  2.86s/it]
 56%|█████▌    | 1739/3125 [25:55<1:04:12,  2.78s/it]
 56%|█████▌    | 1740/3125 [25:59<1:08:02,  2.95s/it]
                                                     
{'loss': '1.273', 'grad_norm': '6.88', 'learning_rate': '1e-05', 'train/loss_infonce': '0.05713', 'train/loss_cot': '1.284', 'epoch': '2.784'}

 56%|█████▌    | 1740/3125 [25:59<1:08:02,  2.95s/it]
 56%|█████▌    | 1741/3125 [26:02<1:08:00,  2.95s/it]
 56%|█████▌    | 1742/3125 [26:05<1:07:23,  2.92s/it]
 56%|█████▌    | 1743/3125 [26:07<1:04:43,  2.81s/it]
 56%|█████▌    | 1744/3125 [26:10<1:04:35,  2.81s/it]
 56%|█████▌    | 1745/3125 [26:13<1:09:50,  3.04s/it]
 56%|█████▌    | 1746/3125 [26:16<1:05:46,  2.86s/it]
 56%|█████▌    | 1747/3125 [26:19<1:08:09,  2.97s/it]
 56%|█████▌    | 1748/3125 [26:22<1:07:01,  2.92s/it]
 56%|█████▌    | 1749/3125 [26:25<1:07:05,  2.93s/it]
 56%|█████▌    | 1750/3125 [26:28<1:05:33,  2.86s/it]
                                                     
{'loss': '1.215', 'grad_norm': '7.62', 'learning_rate': '1e-05', 'train/loss_infonce': '0.03076', 'train/loss_cot': '0.9005', 'epoch': '2.8'}

 56%|█████▌    | 1750/3125 [26:28<1:05:33,  2.86s/it]
 56%|█████▌    | 1751/3125 [26:31<1:11:13,  3.11s/it]
 56%|█████▌    | 1752/3125 [26:34<1:07:02,  2.93s/it]
 56%|█████▌    | 1753/3125 [26:36<1:04:52,  2.84s/it]
 56%|█████▌    | 1754/3125 [26:39<1:01:40,  2.70s/it]
 56%|█████▌    | 1755/3125 [26:41<1:00:48,  2.66s/it]
 56%|█████▌    | 1756/3125 [26:44<1:01:39,  2.70s/it]
 56%|█████▌    | 1757/3125 [26:47<1:02:14,  2.73s/it]
 56%|█████▋    | 1758/3125 [26:50<1:02:11,  2.73s/it]
 56%|█████▋    | 1759/3125 [26:53<1:05:01,  2.86s/it]
 56%|█████▋    | 1760/3125 [26:56<1:04:00,  2.81s/it]
                                                     
{'loss': '1.264', 'grad_norm': '6.701', 'learning_rate': '1e-05', 'train/loss_infonce': '0.3262', 'train/loss_cot': '1.005', 'epoch': '2.816'}

 56%|█████▋    | 1760/3125 [26:56<1:04:00,  2.81s/it]
 56%|█████▋    | 1761/3125 [26:59<1:05:08,  2.87s/it]
 56%|█████▋    | 1762/3125 [27:02<1:06:43,  2.94s/it]
 56%|█████▋    | 1763/3125 [27:04<1:05:57,  2.91s/it]
 56%|█████▋    | 1764/3125 [27:07<1:04:34,  2.85s/it]
 56%|█████▋    | 1765/3125 [27:10<1:02:36,  2.76s/it]
 57%|█████▋    | 1766/3125 [27:13<1:02:47,  2.77s/it]
 57%|█████▋    | 1767/3125 [27:15<1:00:43,  2.68s/it]
 57%|█████▋    | 1768/3125 [27:18<1:01:45,  2.73s/it]
 57%|█████▋    | 1769/3125 [27:20<59:07,  2.62s/it]  
 57%|█████▋    | 1770/3125 [27:23<59:32,  2.64s/it]
                                                   
{'loss': '1.192', 'grad_norm': '6.547', 'learning_rate': '1e-05', 'train/loss_infonce': '0.09131', 'train/loss_cot': '0.9959', 'epoch': '2.832'}

 57%|█████▋    | 1770/3125 [27:23<59:32,  2.64s/it]
 57%|█████▋    | 1771/3125 [27:26<1:02:29,  2.77s/it]
 57%|█████▋    | 1772/3125 [27:29<1:01:59,  2.75s/it]
 57%|█████▋    | 1773/3125 [27:33<1:10:38,  3.13s/it]
 57%|█████▋    | 1774/3125 [27:36<1:14:29,  3.31s/it]
 57%|█████▋    | 1775/3125 [27:39<1:11:28,  3.18s/it]
 57%|█████▋    | 1776/3125 [27:42<1:07:02,  2.98s/it]
 57%|█████▋    | 1777/3125 [27:45<1:07:10,  2.99s/it]
 57%|█████▋    | 1778/3125 [27:48<1:06:33,  2.96s/it]
 57%|█████▋    | 1779/3125 [27:51<1:05:47,  2.93s/it]
 57%|█████▋    | 1780/3125 [27:54<1:07:25,  3.01s/it]
                                                     
{'loss': '1.209', 'grad_norm': '9.752', 'learning_rate': '1e-05', 'train/loss_infonce': '0.5352', 'train/loss_cot': '1.202', 'epoch': '2.848'}

 57%|█████▋    | 1780/3125 [27:54<1:07:25,  3.01s/it]
 57%|█████▋    | 1781/3125 [27:57<1:06:18,  2.96s/it]
 57%|█████▋    | 1782/3125 [27:59<1:03:29,  2.84s/it]
 57%|█████▋    | 1783/3125 [28:02<1:02:13,  2.78s/it]
 57%|█████▋    | 1784/3125 [28:05<1:03:42,  2.85s/it]
 57%|█████▋    | 1785/3125 [28:08<1:03:54,  2.86s/it]
 57%|█████▋    | 1786/3125 [28:10<1:01:53,  2.77s/it]
 57%|█████▋    | 1787/3125 [28:13<1:02:42,  2.81s/it]
 57%|█████▋    | 1788/3125 [28:16<1:01:07,  2.74s/it]
 57%|█████▋    | 1789/3125 [28:19<1:01:32,  2.76s/it]
 57%|█████▋    | 1790/3125 [28:22<1:02:50,  2.82s/it]
                                                     
{'loss': '1.186', 'grad_norm': '6.39', 'learning_rate': '1e-05', 'train/loss_infonce': '0.001274', 'train/loss_cot': '0.8117', 'epoch': '2.864'}

 57%|█████▋    | 1790/3125 [28:22<1:02:50,  2.82s/it]
 57%|█████▋    | 1791/3125 [28:24<1:02:35,  2.82s/it]
 57%|█████▋    | 1792/3125 [28:27<1:00:58,  2.74s/it]
 57%|█████▋    | 1793/3125 [28:30<1:01:42,  2.78s/it]
 57%|█████▋    | 1794/3125 [28:32<1:00:58,  2.75s/it]
 57%|█████▋    | 1795/3125 [28:35<59:20,  2.68s/it]  
 57%|█████▋    | 1796/3125 [28:38<1:01:44,  2.79s/it]
 58%|█████▊    | 1797/3125 [28:41<1:01:33,  2.78s/it]
 58%|█████▊    | 1798/3125 [28:43<59:29,  2.69s/it]  
 58%|█████▊    | 1799/3125 [28:46<59:33,  2.69s/it]
 58%|█████▊    | 1800/3125 [28:49<58:47,  2.66s/it]
                                                   
{'loss': '1.272', 'grad_norm': '8.465', 'learning_rate': '1e-05', 'train/loss_infonce': '0.2041', 'train/loss_cot': '0.7639', 'epoch': '2.88'}

 58%|█████▊    | 1800/3125 [28:49<58:47,  2.66s/it]
 58%|█████▊    | 1801/3125 [29:08<2:48:27,  7.63s/it]
 58%|█████▊    | 1802/3125 [29:10<2:14:15,  6.09s/it]
 58%|█████▊    | 1803/3125 [29:13<1:53:11,  5.14s/it]
 58%|█████▊    | 1804/3125 [29:16<1:37:41,  4.44s/it]
 58%|█████▊    | 1805/3125 [29:19<1:26:04,  3.91s/it]
 58%|█████▊    | 1806/3125 [29:22<1:21:39,  3.71s/it]
 58%|█████▊    | 1807/3125 [29:25<1:15:50,  3.45s/it]
 58%|█████▊    | 1808/3125 [29:28<1:13:02,  3.33s/it]
 58%|█████▊    | 1809/3125 [29:30<1:06:57,  3.05s/it]
 58%|█████▊    | 1810/3125 [29:34<1:08:50,  3.14s/it]
                                                     
{'loss': '1.289', 'grad_norm': '6.283', 'learning_rate': '1e-05', 'train/loss_infonce': '0.1562', 'train/loss_cot': '0.9734', 'epoch': '2.896'}

 58%|█████▊    | 1810/3125 [29:34<1:08:50,  3.14s/it]
 58%|█████▊    | 1811/3125 [29:36<1:05:36,  3.00s/it]
 58%|█████▊    | 1812/3125 [29:39<1:03:52,  2.92s/it]
 58%|█████▊    | 1813/3125 [29:42<1:02:01,  2.84s/it]
 58%|█████▊    | 1814/3125 [29:44<1:01:11,  2.80s/it]
 58%|█████▊    | 1815/3125 [29:47<58:54,  2.70s/it]  
 58%|█████▊    | 1816/3125 [29:49<56:49,  2.60s/it]
 58%|█████▊    | 1817/3125 [29:52<58:37,  2.69s/it]
 58%|█████▊    | 1818/3125 [29:55<58:04,  2.67s/it]
 58%|█████▊    | 1819/3125 [29:57<55:48,  2.56s/it]
 58%|█████▊    | 1820/3125 [30:00<57:39,  2.65s/it]
                                                   
{'loss': '1.195', 'grad_norm': '7.439', 'learning_rate': '1e-05', 'train/loss_infonce': '0.2539', 'train/loss_cot': '1.369', 'epoch': '2.912'}

 58%|█████▊    | 1820/3125 [30:00<57:39,  2.65s/it]
 58%|█████▊    | 1821/3125 [30:03<59:23,  2.73s/it]
 58%|█████▊    | 1822/3125 [30:05<58:35,  2.70s/it]
 58%|█████▊    | 1823/3125 [30:09<1:04:27,  2.97s/it]
 58%|█████▊    | 1824/3125 [30:11<1:01:33,  2.84s/it]
 58%|█████▊    | 1825/3125 [30:14<1:00:49,  2.81s/it]
 58%|█████▊    | 1826/3125 [30:17<1:01:20,  2.83s/it]
 58%|█████▊    | 1827/3125 [30:20<59:35,  2.75s/it]  
 58%|█████▊    | 1828/3125 [30:23<1:00:26,  2.80s/it]
 59%|█████▊    | 1829/3125 [30:25<1:01:04,  2.83s/it]
 59%|█████▊    | 1830/3125 [30:29<1:04:49,  3.00s/it]
                                                     
{'loss': '1.197', 'grad_norm': '6.513', 'learning_rate': '1e-05', 'train/loss_infonce': '0.01508', 'train/loss_cot': '1.151', 'epoch': '2.928'}

 59%|█████▊    | 1830/3125 [30:29<1:04:49,  3.00s/it]
 59%|█████▊    | 1831/3125 [30:32<1:03:07,  2.93s/it]
 59%|█████▊    | 1832/3125 [30:34<1:00:19,  2.80s/it]
 59%|█████▊    | 1833/3125 [30:36<57:13,  2.66s/it]  
 59%|█████▊    | 1834/3125 [30:39<59:03,  2.74s/it]
 59%|█████▊    | 1835/3125 [30:42<58:33,  2.72s/it]
 59%|█████▉    | 1836/3125 [30:45<57:45,  2.69s/it]
 59%|█████▉    | 1837/3125 [30:48<1:00:59,  2.84s/it]
 59%|█████▉    | 1838/3125 [30:51<1:00:09,  2.80s/it]
 59%|█████▉    | 1839/3125 [30:54<1:01:13,  2.86s/it]
 59%|█████▉    | 1840/3125 [30:56<59:50,  2.79s/it]  
                                                   
{'loss': '1.181', 'grad_norm': '6.85', 'learning_rate': '1e-05', 'train/loss_infonce': '0.005676', 'train/loss_cot': '1.24', 'epoch': '2.944'}

 59%|█████▉    | 1840/3125 [30:57<59:50,  2.79s/it]
 59%|█████▉    | 1841/3125 [30:59<1:00:46,  2.84s/it]
 59%|█████▉    | 1842/3125 [31:02<59:17,  2.77s/it]  
 59%|█████▉    | 1843/3125 [31:05<1:00:01,  2.81s/it]
 59%|█████▉    | 1844/3125 [31:07<57:45,  2.71s/it]  
 59%|█████▉    | 1845/3125 [31:10<57:09,  2.68s/it]
 59%|█████▉    | 1846/3125 [31:13<1:00:03,  2.82s/it]
 59%|█████▉    | 1847/3125 [31:15<57:58,  2.72s/it]  
 59%|█████▉    | 1848/3125 [31:18<57:12,  2.69s/it]
 59%|█████▉    | 1849/3125 [31:21<57:10,  2.69s/it]
 59%|█████▉    | 1850/3125 [31:23<56:00,  2.64s/it]
                                                   
{'loss': '1.209', 'grad_norm': '6.609', 'learning_rate': '1e-05', 'train/loss_infonce': '0.06641', 'train/loss_cot': '1.055', 'epoch': '2.96'}

 59%|█████▉    | 1850/3125 [31:24<56:00,  2.64s/it]
 59%|█████▉    | 1851/3125 [31:26<55:27,  2.61s/it]
 59%|█████▉    | 1852/3125 [31:28<54:27,  2.57s/it]
 59%|█████▉    | 1853/3125 [31:31<55:38,  2.62s/it]
 59%|█████▉    | 1854/3125 [31:34<55:58,  2.64s/it]
 59%|█████▉    | 1855/3125 [31:36<54:33,  2.58s/it]
 59%|█████▉    | 1856/3125 [31:39<55:36,  2.63s/it]
 59%|█████▉    | 1857/3125 [31:42<57:20,  2.71s/it]
 59%|█████▉    | 1858/3125 [31:45<58:03,  2.75s/it]
 59%|█████▉    | 1859/3125 [31:47<56:00,  2.65s/it]
 60%|█████▉    | 1860/3125 [31:50<56:09,  2.66s/it]
                                                   
{'loss': '1.239', 'grad_norm': '8.196', 'learning_rate': '1e-05', 'train/loss_infonce': '0.02258', 'train/loss_cot': '1.21', 'epoch': '2.976'}

 60%|█████▉    | 1860/3125 [31:50<56:09,  2.66s/it]
 60%|█████▉    | 1861/3125 [31:52<56:01,  2.66s/it]
 60%|█████▉    | 1862/3125 [31:55<54:59,  2.61s/it]
 60%|█████▉    | 1863/3125 [31:59<1:01:26,  2.92s/it]
 60%|█████▉    | 1864/3125 [32:01<59:42,  2.84s/it]  
 60%|█████▉    | 1865/3125 [32:04<1:01:23,  2.92s/it]
 60%|█████▉    | 1866/3125 [32:07<1:00:50,  2.90s/it]
 60%|█████▉    | 1867/3125 [32:10<58:26,  2.79s/it]  
 60%|█████▉    | 1868/3125 [32:12<57:52,  2.76s/it]
 60%|█████▉    | 1869/3125 [32:15<58:41,  2.80s/it]
 60%|█████▉    | 1870/3125 [32:18<57:13,  2.74s/it]
                                                   
{'loss': '1.093', 'grad_norm': '5.23', 'learning_rate': '1e-05', 'train/loss_infonce': '0.01208', 'train/loss_cot': '0.9051', 'epoch': '2.992'}

 60%|█████▉    | 1870/3125 [32:18<57:13,  2.74s/it]
 60%|█████▉    | 1871/3125 [32:21<59:24,  2.84s/it]
 60%|█████▉    | 1872/3125 [32:24<58:10,  2.79s/it]
 60%|█████▉    | 1873/3125 [32:26<56:32,  2.71s/it]
 60%|█████▉    | 1874/3125 [32:29<56:23,  2.70s/it]
 60%|██████    | 1875/3125 [32:30<44:50,  2.15s/it]
 60%|██████    | 1876/3125 [32:34<56:10,  2.70s/it]
 60%|██████    | 1877/3125 [32:36<54:26,  2.62s/it]
 60%|██████    | 1878/3125 [32:39<53:25,  2.57s/it]
 60%|██████    | 1879/3125 [32:41<52:21,  2.52s/it]
 60%|██████    | 1880/3125 [32:44<54:30,  2.63s/it]
                                                   
{'loss': '1.14', 'grad_norm': '6.176', 'learning_rate': '1e-05', 'train/loss_infonce': '0.01141', 'train/loss_cot': '0.977', 'epoch': '3.008'}

 60%|██████    | 1880/3125 [32:44<54:30,  2.63s/it]
 60%|██████    | 1881/3125 [32:46<54:13,  2.62s/it]
 60%|██████    | 1882/3125 [32:49<51:03,  2.46s/it]
 60%|██████    | 1883/3125 [32:51<50:43,  2.45s/it]
 60%|██████    | 1884/3125 [32:53<49:31,  2.39s/it]
 60%|██████    | 1885/3125 [32:56<50:27,  2.44s/it]
 60%|██████    | 1886/3125 [32:58<48:49,  2.36s/it]
 60%|██████    | 1887/3125 [33:00<48:41,  2.36s/it]
 60%|██████    | 1888/3125 [33:03<49:59,  2.43s/it]
 60%|██████    | 1889/3125 [33:06<51:52,  2.52s/it]
 60%|██████    | 1890/3125 [33:08<50:21,  2.45s/it]
                                                   
{'loss': '1.045', 'grad_norm': '7.792', 'learning_rate': '1e-05', 'train/loss_infonce': '0.03394', 'train/loss_cot': '1.093', 'epoch': '3.024'}

 60%|██████    | 1890/3125 [33:08<50:21,  2.45s/it]
 61%|██████    | 1891/3125 [33:10<50:06,  2.44s/it]
 61%|██████    | 1892/3125 [33:13<49:30,  2.41s/it]
 61%|██████    | 1893/3125 [33:15<48:14,  2.35s/it]
 61%|██████    | 1894/3125 [33:17<46:52,  2.29s/it]
 61%|██████    | 1895/3125 [33:21<55:06,  2.69s/it]
 61%|██████    | 1896/3125 [33:23<52:47,  2.58s/it]
 61%|██████    | 1897/3125 [33:25<52:38,  2.57s/it]
 61%|██████    | 1898/3125 [33:28<52:46,  2.58s/it]
 61%|██████    | 1899/3125 [33:30<50:26,  2.47s/it]
 61%|██████    | 1900/3125 [33:33<54:18,  2.66s/it]
                                                   
{'loss': '1.035', 'grad_norm': '7.938', 'learning_rate': '1e-05', 'train/loss_infonce': '0.01343', 'train/loss_cot': '1.245', 'epoch': '3.04'}

 61%|██████    | 1900/3125 [33:34<54:18,  2.66s/it]
 61%|██████    | 1901/3125 [33:36<55:34,  2.72s/it]
 61%|██████    | 1902/3125 [33:39<53:37,  2.63s/it]
 61%|██████    | 1903/3125 [33:41<51:04,  2.51s/it]
 61%|██████    | 1904/3125 [33:44<51:48,  2.55s/it]
 61%|██████    | 1905/3125 [33:46<50:37,  2.49s/it]
 61%|██████    | 1906/3125 [33:48<48:51,  2.41s/it]
 61%|██████    | 1907/3125 [33:51<51:46,  2.55s/it]
 61%|██████    | 1908/3125 [33:53<50:22,  2.48s/it]
 61%|██████    | 1909/3125 [33:56<48:59,  2.42s/it]
 61%|██████    | 1910/3125 [33:58<47:32,  2.35s/it]
                                                   
{'loss': '1.018', 'grad_norm': '6.123', 'learning_rate': '1e-05', 'train/loss_infonce': '0.05884', 'train/loss_cot': '1.153', 'epoch': '3.056'}

 61%|██████    | 1910/3125 [33:58<47:32,  2.35s/it]
 61%|██████    | 1911/3125 [34:01<55:02,  2.72s/it]
 61%|██████    | 1912/3125 [34:04<52:17,  2.59s/it]
 61%|██████    | 1913/3125 [34:06<51:22,  2.54s/it]
 61%|██████    | 1914/3125 [34:09<52:51,  2.62s/it]
 61%|██████▏   | 1915/3125 [34:11<51:11,  2.54s/it]
 61%|██████▏   | 1916/3125 [34:14<51:21,  2.55s/it]
 61%|██████▏   | 1917/3125 [34:16<51:19,  2.55s/it]
 61%|██████▏   | 1918/3125 [34:19<49:45,  2.47s/it]
 61%|██████▏   | 1919/3125 [34:21<48:02,  2.39s/it]
 61%|██████▏   | 1920/3125 [34:23<47:37,  2.37s/it]
                                                   
{'loss': '1.051', 'grad_norm': '7.122', 'learning_rate': '1e-05', 'train/loss_infonce': '0.1865', 'train/loss_cot': '0.6729', 'epoch': '3.072'}

 61%|██████▏   | 1920/3125 [34:24<47:37,  2.37s/it]
 61%|██████▏   | 1921/3125 [34:26<47:59,  2.39s/it]
 62%|██████▏   | 1922/3125 [34:28<47:57,  2.39s/it]
 62%|██████▏   | 1923/3125 [34:31<53:20,  2.66s/it]
 62%|██████▏   | 1924/3125 [34:33<50:19,  2.51s/it]
 62%|██████▏   | 1925/3125 [34:36<51:50,  2.59s/it]
 62%|██████▏   | 1926/3125 [34:39<50:56,  2.55s/it]
 62%|██████▏   | 1927/3125 [34:41<49:03,  2.46s/it]
 62%|██████▏   | 1928/3125 [34:44<49:43,  2.49s/it]
 62%|██████▏   | 1929/3125 [34:46<51:55,  2.60s/it]
 62%|██████▏   | 1930/3125 [34:49<50:09,  2.52s/it]
                                                   
{'loss': '1.018', 'grad_norm': '6.818', 'learning_rate': '1e-05', 'train/loss_infonce': '0.001015', 'train/loss_cot': '0.8492', 'epoch': '3.088'}

 62%|██████▏   | 1930/3125 [34:49<50:09,  2.52s/it]
 62%|██████▏   | 1931/3125 [34:51<49:50,  2.50s/it]
 62%|██████▏   | 1932/3125 [34:54<49:06,  2.47s/it]
 62%|██████▏   | 1933/3125 [34:56<47:20,  2.38s/it]
 62%|██████▏   | 1934/3125 [34:58<45:58,  2.32s/it]
 62%|██████▏   | 1935/3125 [35:01<50:49,  2.56s/it]
 62%|██████▏   | 1936/3125 [35:04<52:51,  2.67s/it]
 62%|██████▏   | 1937/3125 [35:06<49:57,  2.52s/it]
 62%|██████▏   | 1938/3125 [35:09<50:27,  2.55s/it]
 62%|██████▏   | 1939/3125 [35:11<48:55,  2.48s/it]
 62%|██████▏   | 1940/3125 [35:13<47:53,  2.42s/it]
                                                   
{'loss': '1.051', 'grad_norm': '6.156', 'learning_rate': '1e-05', 'train/loss_infonce': '0.004791', 'train/loss_cot': '0.9085', 'epoch': '3.104'}

 62%|██████▏   | 1940/3125 [35:14<47:53,  2.42s/it]
 62%|██████▏   | 1941/3125 [35:16<47:54,  2.43s/it]
 62%|██████▏   | 1942/3125 [35:19<51:57,  2.64s/it]
 62%|██████▏   | 1943/3125 [35:21<50:29,  2.56s/it]
 62%|██████▏   | 1944/3125 [35:24<50:23,  2.56s/it]
 62%|██████▏   | 1945/3125 [35:26<49:05,  2.50s/it]
 62%|██████▏   | 1946/3125 [35:29<49:54,  2.54s/it]
 62%|██████▏   | 1947/3125 [35:31<47:38,  2.43s/it]
 62%|██████▏   | 1948/3125 [35:33<46:51,  2.39s/it]
 62%|██████▏   | 1949/3125 [35:36<45:48,  2.34s/it]
 62%|██████▏   | 1950/3125 [35:38<46:20,  2.37s/it]
                                                   
{'loss': '1.08', 'grad_norm': '4.952', 'learning_rate': '1e-05', 'train/loss_infonce': '0.01953', 'train/loss_cot': '0.8', 'epoch': '3.12'}

 62%|██████▏   | 1950/3125 [35:38<46:20,  2.37s/it]
 62%|██████▏   | 1951/3125 [35:40<45:59,  2.35s/it]
 62%|██████▏   | 1952/3125 [35:43<45:21,  2.32s/it]
 62%|██████▏   | 1953/3125 [35:45<45:14,  2.32s/it]
 63%|██████▎   | 1954/3125 [35:48<48:02,  2.46s/it]
 63%|██████▎   | 1955/3125 [35:50<45:57,  2.36s/it]
 63%|██████▎   | 1956/3125 [35:52<45:13,  2.32s/it]
 63%|██████▎   | 1957/3125 [35:55<48:29,  2.49s/it]
 63%|██████▎   | 1958/3125 [35:57<47:45,  2.46s/it]
 63%|██████▎   | 1959/3125 [35:59<46:06,  2.37s/it]
 63%|██████▎   | 1960/3125 [36:02<45:59,  2.37s/it]
                                                   
{'loss': '1.056', 'grad_norm': '5.82', 'learning_rate': '1e-05', 'train/loss_infonce': '0.02222', 'train/loss_cot': '0.7172', 'epoch': '3.136'}

 63%|██████▎   | 1960/3125 [36:02<45:59,  2.37s/it]
 63%|██████▎   | 1961/3125 [36:04<44:54,  2.31s/it]
 63%|██████▎   | 1962/3125 [36:06<44:36,  2.30s/it]
 63%|██████▎   | 1963/3125 [36:08<43:17,  2.24s/it]
 63%|██████▎   | 1964/3125 [36:11<43:58,  2.27s/it]
 63%|██████▎   | 1965/3125 [36:13<44:30,  2.30s/it]
 63%|██████▎   | 1966/3125 [36:16<45:34,  2.36s/it]
 63%|██████▎   | 1967/3125 [36:18<45:32,  2.36s/it]
 63%|██████▎   | 1968/3125 [36:20<44:54,  2.33s/it]
 63%|██████▎   | 1969/3125 [36:22<44:18,  2.30s/it]
 63%|██████▎   | 1970/3125 [36:25<44:55,  2.33s/it]
                                                   
{'loss': '1.057', 'grad_norm': '6.039', 'learning_rate': '1e-05', 'train/loss_infonce': '0.01819', 'train/loss_cot': '1.062', 'epoch': '3.152'}

 63%|██████▎   | 1970/3125 [36:25<44:55,  2.33s/it]
 63%|██████▎   | 1971/3125 [36:27<43:48,  2.28s/it]
 63%|██████▎   | 1972/3125 [36:29<43:52,  2.28s/it]
 63%|██████▎   | 1973/3125 [36:32<44:52,  2.34s/it]
 63%|██████▎   | 1974/3125 [36:35<48:24,  2.52s/it]
 63%|██████▎   | 1975/3125 [36:37<46:13,  2.41s/it]
 63%|██████▎   | 1976/3125 [36:39<44:49,  2.34s/it]
 63%|██████▎   | 1977/3125 [36:41<44:33,  2.33s/it]
 63%|██████▎   | 1978/3125 [36:44<44:42,  2.34s/it]
 63%|██████▎   | 1979/3125 [36:47<49:39,  2.60s/it]
 63%|██████▎   | 1980/3125 [36:49<48:35,  2.55s/it]
                                                   
{'loss': '1.075', 'grad_norm': '6.714', 'learning_rate': '1e-05', 'train/loss_infonce': '0.3125', 'train/loss_cot': '1.149', 'epoch': '3.168'}

 63%|██████▎   | 1980/3125 [36:50<48:35,  2.55s/it]
 63%|██████▎   | 1981/3125 [36:52<46:44,  2.45s/it]
 63%|██████▎   | 1982/3125 [36:54<45:47,  2.40s/it]
 63%|██████▎   | 1983/3125 [36:56<45:45,  2.40s/it]
 63%|██████▎   | 1984/3125 [36:58<44:37,  2.35s/it]
 64%|██████▎   | 1985/3125 [37:01<43:50,  2.31s/it]
 64%|██████▎   | 1986/3125 [37:03<43:55,  2.31s/it]
 64%|██████▎   | 1987/3125 [37:05<43:47,  2.31s/it]
 64%|██████▎   | 1988/3125 [37:08<47:20,  2.50s/it]
 64%|██████▎   | 1989/3125 [37:11<46:24,  2.45s/it]
 64%|██████▎   | 1990/3125 [37:13<47:40,  2.52s/it]
                                                   
{'loss': '1.034', 'grad_norm': '5.547', 'learning_rate': '1e-05', 'train/loss_infonce': '0.04663', 'train/loss_cot': '1.034', 'epoch': '3.184'}

 64%|██████▎   | 1990/3125 [37:14<47:40,  2.52s/it]
 64%|██████▎   | 1991/3125 [37:16<46:30,  2.46s/it]
 64%|██████▎   | 1992/3125 [37:18<45:21,  2.40s/it]
 64%|██████▍   | 1993/3125 [37:20<44:16,  2.35s/it]
 64%|██████▍   | 1994/3125 [37:22<43:27,  2.31s/it]
 64%|██████▍   | 1995/3125 [37:24<42:42,  2.27s/it]
 64%|██████▍   | 1996/3125 [37:27<43:09,  2.29s/it]
 64%|██████▍   | 1997/3125 [37:30<46:07,  2.45s/it]
 64%|██████▍   | 1998/3125 [37:32<44:08,  2.35s/it]
 64%|██████▍   | 1999/3125 [37:34<44:24,  2.37s/it]
 64%|██████▍   | 2000/3125 [37:36<44:00,  2.35s/it]
                                                   
{'loss': '0.9929', 'grad_norm': '6.685', 'learning_rate': '1e-05', 'train/loss_infonce': '0.08203', 'train/loss_cot': '0.8827', 'epoch': '3.2'}

 64%|██████▍   | 2000/3125 [37:37<44:00,  2.35s/it]
 64%|██████▍   | 2001/3125 [37:55<2:13:12,  7.11s/it]
 64%|██████▍   | 2002/3125 [37:57<1:46:22,  5.68s/it]
 64%|██████▍   | 2003/3125 [37:59<1:28:16,  4.72s/it]
 64%|██████▍   | 2004/3125 [38:02<1:14:41,  4.00s/it]
 64%|██████▍   | 2005/3125 [38:04<1:04:15,  3.44s/it]
 64%|██████▍   | 2006/3125 [38:06<58:29,  3.14s/it]  
 64%|██████▍   | 2007/3125 [38:09<54:42,  2.94s/it]
 64%|██████▍   | 2008/3125 [38:11<52:18,  2.81s/it]
 64%|██████▍   | 2009/3125 [38:14<51:09,  2.75s/it]
 64%|██████▍   | 2010/3125 [38:16<49:08,  2.64s/it]
                                                   
{'loss': '1.085', 'grad_norm': '5.852', 'learning_rate': '1e-05', 'train/loss_infonce': '0.04272', 'train/loss_cot': '0.9627', 'epoch': '3.216'}

 64%|██████▍   | 2010/3125 [38:17<49:08,  2.64s/it]
 64%|██████▍   | 2011/3125 [38:20<52:07,  2.81s/it]
 64%|██████▍   | 2012/3125 [38:22<50:54,  2.74s/it]
 64%|██████▍   | 2013/3125 [38:25<50:08,  2.71s/it]
 64%|██████▍   | 2014/3125 [38:27<49:02,  2.65s/it]
 64%|██████▍   | 2015/3125 [38:30<50:07,  2.71s/it]
 65%|██████▍   | 2016/3125 [38:33<51:07,  2.77s/it]
 65%|██████▍   | 2017/3125 [38:35<47:48,  2.59s/it]
 65%|██████▍   | 2018/3125 [38:38<49:02,  2.66s/it]
 65%|██████▍   | 2019/3125 [38:41<48:50,  2.65s/it]
 65%|██████▍   | 2020/3125 [38:44<50:40,  2.75s/it]
                                                   
{'loss': '1.097', 'grad_norm': '5.433', 'learning_rate': '1e-05', 'train/loss_infonce': '0.007141', 'train/loss_cot': '1.117', 'epoch': '3.232'}

 65%|██████▍   | 2020/3125 [38:44<50:40,  2.75s/it]
 65%|██████▍   | 2021/3125 [38:46<49:21,  2.68s/it]
 65%|██████▍   | 2022/3125 [38:49<47:44,  2.60s/it]
 65%|██████▍   | 2023/3125 [38:51<46:07,  2.51s/it]
 65%|██████▍   | 2024/3125 [38:54<49:09,  2.68s/it]
 65%|██████▍   | 2025/3125 [38:56<47:27,  2.59s/it]
 65%|██████▍   | 2026/3125 [38:59<46:26,  2.54s/it]
 65%|██████▍   | 2027/3125 [39:01<47:42,  2.61s/it]
 65%|██████▍   | 2028/3125 [39:04<47:06,  2.58s/it]
 65%|██████▍   | 2029/3125 [39:06<46:00,  2.52s/it]
 65%|██████▍   | 2030/3125 [39:09<44:07,  2.42s/it]
                                                   
{'loss': '1.075', 'grad_norm': '5.627', 'learning_rate': '1e-05', 'train/loss_infonce': '0.0498', 'train/loss_cot': '0.9348', 'epoch': '3.248'}

 65%|██████▍   | 2030/3125 [39:09<44:07,  2.42s/it]
 65%|██████▍   | 2031/3125 [39:11<44:37,  2.45s/it]
 65%|██████▌   | 2032/3125 [39:14<44:52,  2.46s/it]
 65%|██████▌   | 2033/3125 [39:16<44:33,  2.45s/it]
 65%|██████▌   | 2034/3125 [39:18<44:12,  2.43s/it]
 65%|██████▌   | 2035/3125 [39:21<46:48,  2.58s/it]
 65%|██████▌   | 2036/3125 [39:24<46:18,  2.55s/it]
 65%|██████▌   | 2037/3125 [39:26<44:47,  2.47s/it]
 65%|██████▌   | 2038/3125 [39:29<44:48,  2.47s/it]
 65%|██████▌   | 2039/3125 [39:31<43:43,  2.42s/it]
 65%|██████▌   | 2040/3125 [39:34<45:54,  2.54s/it]
                                                   
{'loss': '1.049', 'grad_norm': '5.633', 'learning_rate': '1e-05', 'train/loss_infonce': '0.00769', 'train/loss_cot': '0.9103', 'epoch': '3.264'}

 65%|██████▌   | 2040/3125 [39:34<45:54,  2.54s/it]
 65%|██████▌   | 2041/3125 [39:36<45:52,  2.54s/it]
 65%|██████▌   | 2042/3125 [39:39<46:16,  2.56s/it]
 65%|██████▌   | 2043/3125 [39:41<45:14,  2.51s/it]
 65%|██████▌   | 2044/3125 [39:44<45:36,  2.53s/it]
 65%|██████▌   | 2045/3125 [39:46<45:12,  2.51s/it]
 65%|██████▌   | 2046/3125 [39:49<46:47,  2.60s/it]
 66%|██████▌   | 2047/3125 [39:51<45:08,  2.51s/it]
 66%|██████▌   | 2048/3125 [39:54<46:08,  2.57s/it]
 66%|██████▌   | 2049/3125 [39:57<46:46,  2.61s/it]
 66%|██████▌   | 2050/3125 [39:59<44:15,  2.47s/it]
                                                   
{'loss': '1.063', 'grad_norm': '6.172', 'learning_rate': '1e-05', 'train/loss_infonce': '0.005249', 'train/loss_cot': '0.8447', 'epoch': '3.28'}

 66%|██████▌   | 2050/3125 [39:59<44:15,  2.47s/it]
 66%|██████▌   | 2051/3125 [40:01<43:38,  2.44s/it]
 66%|██████▌   | 2052/3125 [40:05<48:07,  2.69s/it]
 66%|██████▌   | 2053/3125 [40:07<47:26,  2.66s/it]
 66%|██████▌   | 2054/3125 [40:09<44:54,  2.52s/it]
 66%|██████▌   | 2055/3125 [40:12<44:31,  2.50s/it]
 66%|██████▌   | 2056/3125 [40:14<44:50,  2.52s/it]
 66%|██████▌   | 2057/3125 [40:17<44:12,  2.48s/it]
 66%|██████▌   | 2058/3125 [40:19<45:12,  2.54s/it]
 66%|██████▌   | 2059/3125 [40:22<45:23,  2.55s/it]
 66%|██████▌   | 2060/3125 [40:24<44:53,  2.53s/it]
                                                   
{'loss': '1.018', 'grad_norm': '5.294', 'learning_rate': '1e-05', 'train/loss_infonce': '0.0006866', 'train/loss_cot': '0.8124', 'epoch': '3.296'}

 66%|██████▌   | 2060/3125 [40:25<44:53,  2.53s/it]
 66%|██████▌   | 2061/3125 [40:27<44:55,  2.53s/it]
 66%|██████▌   | 2062/3125 [40:29<44:26,  2.51s/it]
 66%|██████▌   | 2063/3125 [40:32<42:32,  2.40s/it]
 66%|██████▌   | 2064/3125 [40:34<42:35,  2.41s/it]
 66%|██████▌   | 2065/3125 [40:36<42:14,  2.39s/it]
 66%|██████▌   | 2066/3125 [40:39<42:02,  2.38s/it]
 66%|██████▌   | 2067/3125 [40:41<42:27,  2.41s/it]
 66%|██████▌   | 2068/3125 [40:44<44:10,  2.51s/it]
 66%|██████▌   | 2069/3125 [40:46<43:23,  2.47s/it]
 66%|██████▌   | 2070/3125 [40:49<42:53,  2.44s/it]
                                                   
{'loss': '1.031', 'grad_norm': '5.682', 'learning_rate': '1e-05', 'train/loss_infonce': '0.07715', 'train/loss_cot': '0.9371', 'epoch': '3.312'}

 66%|██████▌   | 2070/3125 [40:49<42:53,  2.44s/it]
 66%|██████▋   | 2071/3125 [40:52<44:59,  2.56s/it]
 66%|██████▋   | 2072/3125 [40:54<44:05,  2.51s/it]
 66%|██████▋   | 2073/3125 [40:56<42:12,  2.41s/it]
 66%|██████▋   | 2074/3125 [40:59<42:08,  2.41s/it]
 66%|██████▋   | 2075/3125 [41:01<43:18,  2.48s/it]
 66%|██████▋   | 2076/3125 [41:03<42:25,  2.43s/it]
 66%|██████▋   | 2077/3125 [41:07<46:10,  2.64s/it]
 66%|██████▋   | 2078/3125 [41:09<44:36,  2.56s/it]
 67%|██████▋   | 2079/3125 [41:11<44:15,  2.54s/it]
 67%|██████▋   | 2080/3125 [41:14<41:49,  2.40s/it]
                                                   
{'loss': '1.076', 'grad_norm': '5.887', 'learning_rate': '1e-05', 'train/loss_infonce': '0.009888', 'train/loss_cot': '1.209', 'epoch': '3.328'}

 67%|██████▋   | 2080/3125 [41:14<41:49,  2.40s/it]
 67%|██████▋   | 2081/3125 [41:16<44:16,  2.54s/it]
 67%|██████▋   | 2082/3125 [41:19<43:42,  2.51s/it]
 67%|██████▋   | 2083/3125 [41:21<43:24,  2.50s/it]
 67%|██████▋   | 2084/3125 [41:23<41:17,  2.38s/it]
 67%|██████▋   | 2085/3125 [41:26<40:56,  2.36s/it]
 67%|██████▋   | 2086/3125 [41:28<40:58,  2.37s/it]
 67%|██████▋   | 2087/3125 [41:30<40:37,  2.35s/it]
 67%|██████▋   | 2088/3125 [41:33<41:58,  2.43s/it]
 67%|██████▋   | 2089/3125 [41:35<41:43,  2.42s/it]
 67%|██████▋   | 2090/3125 [41:38<41:26,  2.40s/it]
                                                   
{'loss': '1.04', 'grad_norm': '6.274', 'learning_rate': '1e-05', 'train/loss_infonce': '0.01031', 'train/loss_cot': '1.146', 'epoch': '3.344'}

 67%|██████▋   | 2090/3125 [41:38<41:26,  2.40s/it]
 67%|██████▋   | 2091/3125 [41:40<41:36,  2.41s/it]
 67%|██████▋   | 2092/3125 [41:43<41:25,  2.41s/it]
 67%|██████▋   | 2093/3125 [41:45<42:06,  2.45s/it]
 67%|██████▋   | 2094/3125 [41:48<41:53,  2.44s/it]
 67%|██████▋   | 2095/3125 [41:50<42:12,  2.46s/it]
 67%|██████▋   | 2096/3125 [41:53<44:11,  2.58s/it]
 67%|██████▋   | 2097/3125 [41:56<47:17,  2.76s/it]
 67%|██████▋   | 2098/3125 [41:59<45:51,  2.68s/it]
 67%|██████▋   | 2099/3125 [42:01<45:28,  2.66s/it]
 67%|██████▋   | 2100/3125 [42:04<43:43,  2.56s/it]
                                                   
{'loss': '1.012', 'grad_norm': '18.56', 'learning_rate': '1e-05', 'train/loss_infonce': '0.7812', 'train/loss_cot': '0.8486', 'epoch': '3.36'}

 67%|██████▋   | 2100/3125 [42:04<43:43,  2.56s/it]
 67%|██████▋   | 2101/3125 [42:06<42:11,  2.47s/it]
 67%|██████▋   | 2102/3125 [42:08<41:25,  2.43s/it]
 67%|██████▋   | 2103/3125 [42:11<41:06,  2.41s/it]
 67%|██████▋   | 2104/3125 [42:13<43:06,  2.53s/it]
 67%|██████▋   | 2105/3125 [42:16<41:21,  2.43s/it]
 67%|██████▋   | 2106/3125 [42:18<39:42,  2.34s/it]
 67%|██████▋   | 2107/3125 [42:21<44:15,  2.61s/it]
 67%|██████▋   | 2108/3125 [42:23<43:41,  2.58s/it]
 67%|██████▋   | 2109/3125 [42:26<43:27,  2.57s/it]
 68%|██████▊   | 2110/3125 [42:29<43:19,  2.56s/it]
                                                   
{'loss': '1.133', 'grad_norm': '5.116', 'learning_rate': '1e-05', 'train/loss_infonce': '0.04346', 'train/loss_cot': '1.103', 'epoch': '3.376'}

 68%|██████▊   | 2110/3125 [42:29<43:19,  2.56s/it]
 68%|██████▊   | 2111/3125 [42:31<42:22,  2.51s/it]
 68%|██████▊   | 2112/3125 [42:33<41:31,  2.46s/it]
 68%|██████▊   | 2113/3125 [42:36<42:16,  2.51s/it]
 68%|██████▊   | 2114/3125 [42:38<40:32,  2.41s/it]
 68%|██████▊   | 2115/3125 [42:40<39:55,  2.37s/it]
 68%|██████▊   | 2116/3125 [42:43<39:37,  2.36s/it]
 68%|██████▊   | 2117/3125 [42:45<40:24,  2.41s/it]
 68%|██████▊   | 2118/3125 [42:48<43:58,  2.62s/it]
 68%|██████▊   | 2119/3125 [42:52<47:06,  2.81s/it]
 68%|██████▊   | 2120/3125 [42:54<45:00,  2.69s/it]
                                                   
{'loss': '1.034', 'grad_norm': '6.444', 'learning_rate': '1e-05', 'train/loss_infonce': '0.006439', 'train/loss_cot': '1.103', 'epoch': '3.392'}

 68%|██████▊   | 2120/3125 [42:54<45:00,  2.69s/it]
 68%|██████▊   | 2121/3125 [42:57<44:17,  2.65s/it]
 68%|██████▊   | 2122/3125 [42:59<42:44,  2.56s/it]
 68%|██████▊   | 2123/3125 [43:01<41:04,  2.46s/it]
 68%|██████▊   | 2124/3125 [43:03<40:22,  2.42s/it]
 68%|██████▊   | 2125/3125 [43:06<41:10,  2.47s/it]
 68%|██████▊   | 2126/3125 [43:09<41:18,  2.48s/it]
 68%|██████▊   | 2127/3125 [43:12<44:42,  2.69s/it]
 68%|██████▊   | 2128/3125 [43:15<47:01,  2.83s/it]
 68%|██████▊   | 2129/3125 [43:17<43:17,  2.61s/it]
 68%|██████▊   | 2130/3125 [43:20<44:08,  2.66s/it]
                                                   
{'loss': '1.054', 'grad_norm': '6.24', 'learning_rate': '1e-05', 'train/loss_infonce': '0.003464', 'train/loss_cot': '1.269', 'epoch': '3.408'}

 68%|██████▊   | 2130/3125 [43:20<44:08,  2.66s/it]
 68%|██████▊   | 2131/3125 [43:23<44:59,  2.72s/it]
 68%|██████▊   | 2132/3125 [43:25<43:03,  2.60s/it]
 68%|██████▊   | 2133/3125 [43:27<42:50,  2.59s/it]
 68%|██████▊   | 2134/3125 [43:30<41:21,  2.50s/it]
 68%|██████▊   | 2135/3125 [43:33<43:39,  2.65s/it]
 68%|██████▊   | 2136/3125 [43:35<41:32,  2.52s/it]
 68%|██████▊   | 2137/3125 [43:37<40:09,  2.44s/it]
 68%|██████▊   | 2138/3125 [43:40<40:28,  2.46s/it]
 68%|██████▊   | 2139/3125 [43:42<39:43,  2.42s/it]
 68%|██████▊   | 2140/3125 [43:44<39:37,  2.41s/it]
                                                   
{'loss': '1.068', 'grad_norm': '6.028', 'learning_rate': '1e-05', 'train/loss_infonce': '0.005157', 'train/loss_cot': '0.8323', 'epoch': '3.424'}

 68%|██████▊   | 2140/3125 [43:45<39:37,  2.41s/it]
 69%|██████▊   | 2141/3125 [43:47<40:03,  2.44s/it]
 69%|██████▊   | 2142/3125 [43:49<40:05,  2.45s/it]
 69%|██████▊   | 2143/3125 [43:52<40:00,  2.44s/it]
 69%|██████▊   | 2144/3125 [43:55<40:58,  2.51s/it]
 69%|██████▊   | 2145/3125 [43:57<41:01,  2.51s/it]
 69%|██████▊   | 2146/3125 [43:59<40:30,  2.48s/it]
 69%|██████▊   | 2147/3125 [44:02<41:53,  2.57s/it]
 69%|██████▊   | 2148/3125 [44:06<50:02,  3.07s/it]
 69%|██████▉   | 2149/3125 [44:09<49:18,  3.03s/it]
 69%|██████▉   | 2150/3125 [44:12<46:20,  2.85s/it]
                                                   
{'loss': '1.06', 'grad_norm': '13.43', 'learning_rate': '1e-05', 'train/loss_infonce': '0.01733', 'train/loss_cot': '1.293', 'epoch': '3.44'}

 69%|██████▉   | 2150/3125 [44:12<46:20,  2.85s/it]
 69%|██████▉   | 2151/3125 [44:14<44:30,  2.74s/it]
 69%|██████▉   | 2152/3125 [44:17<42:17,  2.61s/it]
 69%|██████▉   | 2153/3125 [44:19<42:08,  2.60s/it]
 69%|██████▉   | 2154/3125 [44:22<42:10,  2.61s/it]
 69%|██████▉   | 2155/3125 [44:24<41:00,  2.54s/it]
 69%|██████▉   | 2156/3125 [44:26<39:36,  2.45s/it]
 69%|██████▉   | 2157/3125 [44:29<39:22,  2.44s/it]
 69%|██████▉   | 2158/3125 [44:32<41:15,  2.56s/it]
 69%|██████▉   | 2159/3125 [44:34<39:45,  2.47s/it]
 69%|██████▉   | 2160/3125 [44:36<38:23,  2.39s/it]
                                                   
{'loss': '0.9993', 'grad_norm': '5.85', 'learning_rate': '1e-05', 'train/loss_infonce': '0.08105', 'train/loss_cot': '0.9752', 'epoch': '3.456'}

 69%|██████▉   | 2160/3125 [44:36<38:23,  2.39s/it]
 69%|██████▉   | 2161/3125 [44:39<39:18,  2.45s/it]
 69%|██████▉   | 2162/3125 [44:41<38:30,  2.40s/it]
 69%|██████▉   | 2163/3125 [44:43<38:37,  2.41s/it]
 69%|██████▉   | 2164/3125 [44:46<37:51,  2.36s/it]
 69%|██████▉   | 2165/3125 [44:48<38:27,  2.40s/it]
 69%|██████▉   | 2166/3125 [44:50<37:24,  2.34s/it]
 69%|██████▉   | 2167/3125 [44:53<37:32,  2.35s/it]
 69%|██████▉   | 2168/3125 [44:55<37:30,  2.35s/it]
 69%|██████▉   | 2169/3125 [44:58<37:45,  2.37s/it]
 69%|██████▉   | 2170/3125 [45:00<39:01,  2.45s/it]
                                                   
{'loss': '1.011', 'grad_norm': '5.577', 'learning_rate': '1e-05', 'train/loss_infonce': '0.01459', 'train/loss_cot': '1.048', 'epoch': '3.472'}

 69%|██████▉   | 2170/3125 [45:00<39:01,  2.45s/it]
 69%|██████▉   | 2171/3125 [45:03<39:42,  2.50s/it]
 70%|██████▉   | 2172/3125 [45:05<39:42,  2.50s/it]
 70%|██████▉   | 2173/3125 [45:08<38:40,  2.44s/it]
 70%|██████▉   | 2174/3125 [45:10<39:38,  2.50s/it]
 70%|██████▉   | 2175/3125 [45:12<38:25,  2.43s/it]
 70%|██████▉   | 2176/3125 [45:15<38:05,  2.41s/it]
 70%|██████▉   | 2177/3125 [45:17<38:22,  2.43s/it]
 70%|██████▉   | 2178/3125 [45:21<43:29,  2.76s/it]
 70%|██████▉   | 2179/3125 [45:23<40:47,  2.59s/it]
 70%|██████▉   | 2180/3125 [45:25<39:54,  2.53s/it]
                                                   
{'loss': '1.047', 'grad_norm': '6.482', 'learning_rate': '1e-05', 'train/loss_infonce': '0.1187', 'train/loss_cot': '0.7171', 'epoch': '3.488'}

 70%|██████▉   | 2180/3125 [45:26<39:54,  2.53s/it]
 70%|██████▉   | 2181/3125 [45:28<39:44,  2.53s/it]
 70%|██████▉   | 2182/3125 [45:31<41:02,  2.61s/it]
 70%|██████▉   | 2183/3125 [45:33<39:52,  2.54s/it]
 70%|██████▉   | 2184/3125 [45:35<38:45,  2.47s/it]
 70%|██████▉   | 2185/3125 [45:38<38:43,  2.47s/it]
 70%|██████▉   | 2186/3125 [45:40<38:57,  2.49s/it]
 70%|██████▉   | 2187/3125 [45:43<38:18,  2.45s/it]
 70%|███████   | 2188/3125 [45:46<40:03,  2.57s/it]
 70%|███████   | 2189/3125 [45:48<40:09,  2.57s/it]
 70%|███████   | 2190/3125 [45:51<38:59,  2.50s/it]
                                                   
{'loss': '1.111', 'grad_norm': '9.047', 'learning_rate': '1e-05', 'train/loss_infonce': '0.01123', 'train/loss_cot': '1.043', 'epoch': '3.504'}

 70%|███████   | 2190/3125 [45:51<38:59,  2.50s/it]
 70%|███████   | 2191/3125 [45:53<39:52,  2.56s/it]
 70%|███████   | 2192/3125 [45:56<38:58,  2.51s/it]
 70%|███████   | 2193/3125 [45:58<38:51,  2.50s/it]
 70%|███████   | 2194/3125 [46:00<37:38,  2.43s/it]
 70%|███████   | 2195/3125 [46:03<36:47,  2.37s/it]
 70%|███████   | 2196/3125 [46:05<36:54,  2.38s/it]
 70%|███████   | 2197/3125 [46:08<37:33,  2.43s/it]
 70%|███████   | 2198/3125 [46:10<36:23,  2.36s/it]
 70%|███████   | 2199/3125 [46:12<35:06,  2.28s/it]
 70%|███████   | 2200/3125 [46:15<37:32,  2.43s/it]
                                                   
{'loss': '1.09', 'grad_norm': '5.561', 'learning_rate': '1e-05', 'train/loss_infonce': '0.03076', 'train/loss_cot': '1.155', 'epoch': '3.52'}

 70%|███████   | 2200/3125 [46:15<37:32,  2.43s/it]
 70%|███████   | 2201/3125 [46:33<1:51:18,  7.23s/it]
 70%|███████   | 2202/3125 [46:36<1:30:51,  5.91s/it]
 70%|███████   | 2203/3125 [46:38<1:14:02,  4.82s/it]
 71%|███████   | 2204/3125 [46:41<1:02:49,  4.09s/it]
 71%|███████   | 2205/3125 [46:43<54:33,  3.56s/it]  
 71%|███████   | 2206/3125 [46:46<50:31,  3.30s/it]
 71%|███████   | 2207/3125 [46:48<45:51,  3.00s/it]
 71%|███████   | 2208/3125 [46:51<45:51,  3.00s/it]
 71%|███████   | 2209/3125 [46:53<42:00,  2.75s/it]
 71%|███████   | 2210/3125 [46:56<40:59,  2.69s/it]
                                                   
{'loss': '1.011', 'grad_norm': '5.26', 'learning_rate': '1e-05', 'train/loss_infonce': '0.01465', 'train/loss_cot': '0.8401', 'epoch': '3.536'}

 71%|███████   | 2210/3125 [46:56<40:59,  2.69s/it]
 71%|███████   | 2211/3125 [46:58<40:08,  2.63s/it]
 71%|███████   | 2212/3125 [47:01<40:02,  2.63s/it]
 71%|███████   | 2213/3125 [47:03<38:57,  2.56s/it]
 71%|███████   | 2214/3125 [47:05<37:26,  2.47s/it]
 71%|███████   | 2215/3125 [47:08<38:46,  2.56s/it]
 71%|███████   | 2216/3125 [47:11<39:07,  2.58s/it]
 71%|███████   | 2217/3125 [47:13<37:28,  2.48s/it]
 71%|███████   | 2218/3125 [47:15<35:55,  2.38s/it]
 71%|███████   | 2219/3125 [47:17<35:02,  2.32s/it]
 71%|███████   | 2220/3125 [47:20<35:18,  2.34s/it]
                                                   
{'loss': '1.05', 'grad_norm': '6.493', 'learning_rate': '1e-05', 'train/loss_infonce': '0.03394', 'train/loss_cot': '1.138', 'epoch': '3.552'}

 71%|███████   | 2220/3125 [47:20<35:18,  2.34s/it]
 71%|███████   | 2221/3125 [47:22<36:47,  2.44s/it]
 71%|███████   | 2222/3125 [47:25<36:04,  2.40s/it]
 71%|███████   | 2223/3125 [47:27<35:38,  2.37s/it]
 71%|███████   | 2224/3125 [47:30<36:44,  2.45s/it]
 71%|███████   | 2225/3125 [47:32<37:09,  2.48s/it]
 71%|███████   | 2226/3125 [47:35<36:22,  2.43s/it]
 71%|███████▏  | 2227/3125 [47:37<35:46,  2.39s/it]
 71%|███████▏  | 2228/3125 [47:39<35:43,  2.39s/it]
 71%|███████▏  | 2229/3125 [47:42<35:23,  2.37s/it]
 71%|███████▏  | 2230/3125 [47:44<36:01,  2.42s/it]
                                                   
{'loss': '1.033', 'grad_norm': '6.419', 'learning_rate': '1e-05', 'train/loss_infonce': '0.02576', 'train/loss_cot': '0.9247', 'epoch': '3.568'}

 71%|███████▏  | 2230/3125 [47:44<36:01,  2.42s/it]
 71%|███████▏  | 2231/3125 [47:47<36:45,  2.47s/it]
 71%|███████▏  | 2232/3125 [47:49<35:26,  2.38s/it]
 71%|███████▏  | 2233/3125 [47:51<34:51,  2.34s/it]
 71%|███████▏  | 2234/3125 [47:54<36:10,  2.44s/it]
 72%|███████▏  | 2235/3125 [47:56<34:23,  2.32s/it]
 72%|███████▏  | 2236/3125 [47:58<35:22,  2.39s/it]
 72%|███████▏  | 2237/3125 [48:01<36:01,  2.43s/it]
 72%|███████▏  | 2238/3125 [48:03<35:49,  2.42s/it]
 72%|███████▏  | 2239/3125 [48:06<35:22,  2.40s/it]
 72%|███████▏  | 2240/3125 [48:08<36:40,  2.49s/it]
                                                   
{'loss': '1.045', 'grad_norm': '8.428', 'learning_rate': '1e-05', 'train/loss_infonce': '0.007141', 'train/loss_cot': '1.278', 'epoch': '3.584'}

 72%|███████▏  | 2240/3125 [48:09<36:40,  2.49s/it]
 72%|███████▏  | 2241/3125 [48:11<35:51,  2.43s/it]
 72%|███████▏  | 2242/3125 [48:13<35:41,  2.43s/it]
 72%|███████▏  | 2243/3125 [48:15<34:38,  2.36s/it]
 72%|███████▏  | 2244/3125 [48:17<34:16,  2.33s/it]
 72%|███████▏  | 2245/3125 [48:20<34:33,  2.36s/it]
 72%|███████▏  | 2246/3125 [48:22<35:19,  2.41s/it]
 72%|███████▏  | 2247/3125 [48:25<34:45,  2.38s/it]
 72%|███████▏  | 2248/3125 [48:27<34:40,  2.37s/it]
 72%|███████▏  | 2249/3125 [48:30<35:27,  2.43s/it]
 72%|███████▏  | 2250/3125 [48:32<34:48,  2.39s/it]
                                                   
{'loss': '1.046', 'grad_norm': '5.948', 'learning_rate': '1e-05', 'train/loss_infonce': '0.0006409', 'train/loss_cot': '0.889', 'epoch': '3.6'}

 72%|███████▏  | 2250/3125 [48:32<34:48,  2.39s/it]
 72%|███████▏  | 2251/3125 [48:34<34:26,  2.36s/it]
 72%|███████▏  | 2252/3125 [48:36<33:43,  2.32s/it]
 72%|███████▏  | 2253/3125 [48:39<34:54,  2.40s/it]
 72%|███████▏  | 2254/3125 [48:41<34:49,  2.40s/it]
 72%|███████▏  | 2255/3125 [48:44<36:50,  2.54s/it]
 72%|███████▏  | 2256/3125 [48:47<36:34,  2.53s/it]
 72%|███████▏  | 2257/3125 [48:50<37:55,  2.62s/it]
 72%|███████▏  | 2258/3125 [48:52<37:05,  2.57s/it]
 72%|███████▏  | 2259/3125 [48:54<36:18,  2.52s/it]
 72%|███████▏  | 2260/3125 [48:57<35:23,  2.45s/it]
                                                   
{'loss': '1.039', 'grad_norm': '5.786', 'learning_rate': '1e-05', 'train/loss_infonce': '0.00119', 'train/loss_cot': '1.05', 'epoch': '3.616'}

 72%|███████▏  | 2260/3125 [48:57<35:23,  2.45s/it]
 72%|███████▏  | 2261/3125 [48:59<36:13,  2.52s/it]
 72%|███████▏  | 2262/3125 [49:02<36:46,  2.56s/it]
 72%|███████▏  | 2263/3125 [49:04<35:22,  2.46s/it]
 72%|███████▏  | 2264/3125 [49:07<35:19,  2.46s/it]
 72%|███████▏  | 2265/3125 [49:09<34:44,  2.42s/it]
 73%|███████▎  | 2266/3125 [49:12<35:14,  2.46s/it]
 73%|███████▎  | 2267/3125 [49:14<35:50,  2.51s/it]
 73%|███████▎  | 2268/3125 [49:17<35:53,  2.51s/it]
 73%|███████▎  | 2269/3125 [49:19<35:26,  2.48s/it]
 73%|███████▎  | 2270/3125 [49:22<35:21,  2.48s/it]
                                                   
{'loss': '1.128', 'grad_norm': '7.582', 'learning_rate': '1e-05', 'train/loss_infonce': '0.04004', 'train/loss_cot': '1.083', 'epoch': '3.632'}

 73%|███████▎  | 2270/3125 [49:22<35:21,  2.48s/it]
 73%|███████▎  | 2271/3125 [49:24<34:24,  2.42s/it]
 73%|███████▎  | 2272/3125 [49:26<34:10,  2.40s/it]
 73%|███████▎  | 2273/3125 [49:29<34:43,  2.45s/it]
 73%|███████▎  | 2274/3125 [49:31<33:24,  2.36s/it]
 73%|███████▎  | 2275/3125 [49:33<33:42,  2.38s/it]
 73%|███████▎  | 2276/3125 [49:36<35:35,  2.52s/it]
 73%|███████▎  | 2277/3125 [49:39<35:18,  2.50s/it]
 73%|███████▎  | 2278/3125 [49:41<34:31,  2.45s/it]
 73%|███████▎  | 2279/3125 [49:44<34:25,  2.44s/it]
 73%|███████▎  | 2280/3125 [49:46<33:55,  2.41s/it]
                                                   
{'loss': '0.9878', 'grad_norm': '5.992', 'learning_rate': '1e-05', 'train/loss_infonce': '0.05518', 'train/loss_cot': '0.7204', 'epoch': '3.648'}

 73%|███████▎  | 2280/3125 [49:46<33:55,  2.41s/it]
 73%|███████▎  | 2281/3125 [49:48<34:07,  2.43s/it]
 73%|███████▎  | 2282/3125 [49:51<36:50,  2.62s/it]
 73%|███████▎  | 2283/3125 [49:54<35:58,  2.56s/it]
 73%|███████▎  | 2284/3125 [49:56<34:26,  2.46s/it]
 73%|███████▎  | 2285/3125 [49:59<34:28,  2.46s/it]
 73%|███████▎  | 2286/3125 [50:01<33:07,  2.37s/it]
 73%|███████▎  | 2287/3125 [50:03<32:57,  2.36s/it]
 73%|███████▎  | 2288/3125 [50:05<32:46,  2.35s/it]
 73%|███████▎  | 2289/3125 [50:08<35:04,  2.52s/it]
 73%|███████▎  | 2290/3125 [50:11<34:22,  2.47s/it]
                                                   
{'loss': '1.084', 'grad_norm': '5.384', 'learning_rate': '1e-05', 'train/loss_infonce': '0.01117', 'train/loss_cot': '0.8849', 'epoch': '3.664'}

 73%|███████▎  | 2290/3125 [50:11<34:22,  2.47s/it]
 73%|███████▎  | 2291/3125 [50:13<35:12,  2.53s/it]
 73%|███████▎  | 2292/3125 [50:16<33:58,  2.45s/it]
 73%|███████▎  | 2293/3125 [50:18<32:51,  2.37s/it]
 73%|███████▎  | 2294/3125 [50:20<32:57,  2.38s/it]
 73%|███████▎  | 2295/3125 [50:23<33:29,  2.42s/it]
 73%|███████▎  | 2296/3125 [50:25<33:24,  2.42s/it]
 74%|███████▎  | 2297/3125 [50:27<32:57,  2.39s/it]
 74%|███████▎  | 2298/3125 [50:30<33:53,  2.46s/it]
 74%|███████▎  | 2299/3125 [50:32<33:33,  2.44s/it]
 74%|███████▎  | 2300/3125 [50:36<37:46,  2.75s/it]
                                                   
{'loss': '1.062', 'grad_norm': '6.839', 'learning_rate': '1e-05', 'train/loss_infonce': '0.002777', 'train/loss_cot': '1.33', 'epoch': '3.68'}

 74%|███████▎  | 2300/3125 [50:36<37:46,  2.75s/it]
 74%|███████▎  | 2301/3125 [50:39<38:43,  2.82s/it]
 74%|███████▎  | 2302/3125 [50:41<36:40,  2.67s/it]
 74%|███████▎  | 2303/3125 [50:45<43:10,  3.15s/it]
 74%|███████▎  | 2304/3125 [50:48<42:00,  3.07s/it]
 74%|███████▍  | 2305/3125 [50:51<39:18,  2.88s/it]
 74%|███████▍  | 2306/3125 [50:53<37:47,  2.77s/it]
 74%|███████▍  | 2307/3125 [50:56<39:16,  2.88s/it]
 74%|███████▍  | 2308/3125 [51:00<40:12,  2.95s/it]
 74%|███████▍  | 2309/3125 [51:02<37:23,  2.75s/it]
 74%|███████▍  | 2310/3125 [51:04<35:46,  2.63s/it]
                                                   
{'loss': '1.041', 'grad_norm': '9.008', 'learning_rate': '1e-05', 'train/loss_infonce': '0.003586', 'train/loss_cot': '1.135', 'epoch': '3.696'}

 74%|███████▍  | 2310/3125 [51:05<35:46,  2.63s/it]
 74%|███████▍  | 2311/3125 [51:06<34:25,  2.54s/it]
 74%|███████▍  | 2312/3125 [51:09<34:14,  2.53s/it]
 74%|███████▍  | 2313/3125 [51:11<33:28,  2.47s/it]
 74%|███████▍  | 2314/3125 [51:14<33:13,  2.46s/it]
 74%|███████▍  | 2315/3125 [51:17<36:11,  2.68s/it]
 74%|███████▍  | 2316/3125 [51:19<34:41,  2.57s/it]
 74%|███████▍  | 2317/3125 [51:21<32:47,  2.44s/it]
 74%|███████▍  | 2318/3125 [51:24<32:39,  2.43s/it]
 74%|███████▍  | 2319/3125 [51:26<33:33,  2.50s/it]
 74%|███████▍  | 2320/3125 [51:29<34:58,  2.61s/it]
                                                   
{'loss': '1.041', 'grad_norm': '5.18', 'learning_rate': '1e-05', 'train/loss_infonce': '0.005951', 'train/loss_cot': '1.068', 'epoch': '3.712'}

 74%|███████▍  | 2320/3125 [51:30<34:58,  2.61s/it]
 74%|███████▍  | 2321/3125 [51:32<34:32,  2.58s/it]
 74%|███████▍  | 2322/3125 [51:35<35:11,  2.63s/it]
 74%|███████▍  | 2323/3125 [51:38<37:28,  2.80s/it]
 74%|███████▍  | 2324/3125 [51:40<35:58,  2.69s/it]
 74%|███████▍  | 2325/3125 [51:43<35:15,  2.64s/it]
 74%|███████▍  | 2326/3125 [51:45<34:14,  2.57s/it]
 74%|███████▍  | 2327/3125 [51:48<34:19,  2.58s/it]
 74%|███████▍  | 2328/3125 [51:50<33:39,  2.53s/it]
 75%|███████▍  | 2329/3125 [51:53<36:00,  2.71s/it]
 75%|███████▍  | 2330/3125 [51:56<35:34,  2.69s/it]
                                                   
{'loss': '1.099', 'grad_norm': '6.674', 'learning_rate': '1e-05', 'train/loss_infonce': '0.02356', 'train/loss_cot': '1.222', 'epoch': '3.728'}

 75%|███████▍  | 2330/3125 [51:56<35:34,  2.69s/it]
 75%|███████▍  | 2331/3125 [51:59<35:19,  2.67s/it]
 75%|███████▍  | 2332/3125 [52:01<34:44,  2.63s/it]
 75%|███████▍  | 2333/3125 [52:03<33:35,  2.55s/it]
 75%|███████▍  | 2334/3125 [52:06<32:39,  2.48s/it]
 75%|███████▍  | 2335/3125 [52:08<31:56,  2.43s/it]
 75%|███████▍  | 2336/3125 [52:10<31:26,  2.39s/it]
 75%|███████▍  | 2337/3125 [52:13<32:27,  2.47s/it]
 75%|███████▍  | 2338/3125 [52:15<31:47,  2.42s/it]
 75%|███████▍  | 2339/3125 [52:18<31:49,  2.43s/it]
 75%|███████▍  | 2340/3125 [52:20<31:22,  2.40s/it]
                                                   
{'loss': '1.068', 'grad_norm': '6.114', 'learning_rate': '1e-05', 'train/loss_infonce': '0.05322', 'train/loss_cot': '1.074', 'epoch': '3.744'}

 75%|███████▍  | 2340/3125 [52:20<31:22,  2.40s/it]
 75%|███████▍  | 2341/3125 [52:23<32:53,  2.52s/it]
 75%|███████▍  | 2342/3125 [52:26<33:14,  2.55s/it]
 75%|███████▍  | 2343/3125 [52:28<34:21,  2.64s/it]
 75%|███████▌  | 2344/3125 [52:31<33:51,  2.60s/it]
 75%|███████▌  | 2345/3125 [52:34<34:25,  2.65s/it]
 75%|███████▌  | 2346/3125 [52:36<32:42,  2.52s/it]
 75%|███████▌  | 2347/3125 [52:38<32:17,  2.49s/it]
 75%|███████▌  | 2348/3125 [52:41<34:29,  2.66s/it]
 75%|███████▌  | 2349/3125 [52:44<34:45,  2.69s/it]
 75%|███████▌  | 2350/3125 [52:47<35:07,  2.72s/it]
                                                   
{'loss': '1.073', 'grad_norm': '6.079', 'learning_rate': '1e-05', 'train/loss_infonce': '0.0002089', 'train/loss_cot': '1.133', 'epoch': '3.76'}

 75%|███████▌  | 2350/3125 [52:47<35:07,  2.72s/it]
 75%|███████▌  | 2351/3125 [52:50<34:46,  2.70s/it]
 75%|███████▌  | 2352/3125 [52:52<33:22,  2.59s/it]
 75%|███████▌  | 2353/3125 [52:54<33:14,  2.58s/it]
 75%|███████▌  | 2354/3125 [52:57<31:39,  2.46s/it]
 75%|███████▌  | 2355/3125 [52:59<31:00,  2.42s/it]
 75%|███████▌  | 2356/3125 [53:01<30:42,  2.40s/it]
 75%|███████▌  | 2357/3125 [53:04<30:12,  2.36s/it]
 75%|███████▌  | 2358/3125 [53:06<30:18,  2.37s/it]
 75%|███████▌  | 2359/3125 [53:08<30:29,  2.39s/it]
 76%|███████▌  | 2360/3125 [53:11<30:02,  2.36s/it]
                                                   
{'loss': '1.146', 'grad_norm': '5.674', 'learning_rate': '1e-05', 'train/loss_infonce': '0.02771', 'train/loss_cot': '1.146', 'epoch': '3.776'}

 76%|███████▌  | 2360/3125 [53:11<30:02,  2.36s/it]
 76%|███████▌  | 2361/3125 [53:14<32:31,  2.55s/it]
 76%|███████▌  | 2362/3125 [53:16<31:52,  2.51s/it]
 76%|███████▌  | 2363/3125 [53:19<31:56,  2.52s/it]
 76%|███████▌  | 2364/3125 [53:21<31:49,  2.51s/it]
 76%|███████▌  | 2365/3125 [53:24<32:45,  2.59s/it]
 76%|███████▌  | 2366/3125 [53:27<34:23,  2.72s/it]
 76%|███████▌  | 2367/3125 [53:29<32:59,  2.61s/it]
 76%|███████▌  | 2368/3125 [53:32<33:21,  2.64s/it]
 76%|███████▌  | 2369/3125 [53:34<32:34,  2.59s/it]
 76%|███████▌  | 2370/3125 [53:37<33:14,  2.64s/it]
                                                   
{'loss': '1.063', 'grad_norm': '7.171', 'learning_rate': '1e-05', 'train/loss_infonce': '0.02161', 'train/loss_cot': '1.061', 'epoch': '3.792'}

 76%|███████▌  | 2370/3125 [53:38<33:14,  2.64s/it]
 76%|███████▌  | 2371/3125 [53:40<33:35,  2.67s/it]
 76%|███████▌  | 2372/3125 [53:43<33:03,  2.63s/it]
 76%|███████▌  | 2373/3125 [53:45<31:28,  2.51s/it]
 76%|███████▌  | 2374/3125 [53:47<32:14,  2.58s/it]
 76%|███████▌  | 2375/3125 [53:50<31:08,  2.49s/it]
 76%|███████▌  | 2376/3125 [53:52<30:43,  2.46s/it]
 76%|███████▌  | 2377/3125 [53:54<30:04,  2.41s/it]
 76%|███████▌  | 2378/3125 [53:57<29:26,  2.36s/it]
 76%|███████▌  | 2379/3125 [53:59<28:34,  2.30s/it]
 76%|███████▌  | 2380/3125 [54:01<29:01,  2.34s/it]
                                                   
{'loss': '1.093', 'grad_norm': '5.157', 'learning_rate': '1e-05', 'train/loss_infonce': '0.01544', 'train/loss_cot': '1.136', 'epoch': '3.808'}

 76%|███████▌  | 2380/3125 [54:02<29:01,  2.34s/it]
 76%|███████▌  | 2381/3125 [54:04<29:17,  2.36s/it]
 76%|███████▌  | 2382/3125 [54:06<29:46,  2.40s/it]
 76%|███████▋  | 2383/3125 [54:09<30:34,  2.47s/it]
 76%|███████▋  | 2384/3125 [54:11<29:25,  2.38s/it]
 76%|███████▋  | 2385/3125 [54:14<29:48,  2.42s/it]
 76%|███████▋  | 2386/3125 [54:16<29:59,  2.44s/it]
 76%|███████▋  | 2387/3125 [54:19<30:21,  2.47s/it]
 76%|███████▋  | 2388/3125 [54:21<29:29,  2.40s/it]
 76%|███████▋  | 2389/3125 [54:23<29:03,  2.37s/it]
 76%|███████▋  | 2390/3125 [54:26<29:51,  2.44s/it]
                                                   
{'loss': '1.05', 'grad_norm': '5.776', 'learning_rate': '1e-05', 'train/loss_infonce': '0.01544', 'train/loss_cot': '1.549', 'epoch': '3.824'}

 76%|███████▋  | 2390/3125 [54:26<29:51,  2.44s/it]
 77%|███████▋  | 2391/3125 [54:28<30:49,  2.52s/it]
 77%|███████▋  | 2392/3125 [54:31<30:13,  2.47s/it]
 77%|███████▋  | 2393/3125 [54:33<30:37,  2.51s/it]
 77%|███████▋  | 2394/3125 [54:36<29:59,  2.46s/it]
 77%|███████▋  | 2395/3125 [54:38<29:00,  2.38s/it]
 77%|███████▋  | 2396/3125 [54:40<29:24,  2.42s/it]
 77%|███████▋  | 2397/3125 [54:43<28:52,  2.38s/it]
 77%|███████▋  | 2398/3125 [54:45<29:18,  2.42s/it]
 77%|███████▋  | 2399/3125 [54:48<31:42,  2.62s/it]
 77%|███████▋  | 2400/3125 [54:51<31:00,  2.57s/it]
                                                   
{'loss': '1.068', 'grad_norm': '5.884', 'learning_rate': '1e-05', 'train/loss_infonce': '0.004852', 'train/loss_cot': '1.096', 'epoch': '3.84'}

 77%|███████▋  | 2400/3125 [54:51<31:00,  2.57s/it]
 77%|███████▋  | 2401/3125 [55:09<1:27:41,  7.27s/it]
 77%|███████▋  | 2402/3125 [55:11<1:10:23,  5.84s/it]
 77%|███████▋  | 2403/3125 [55:14<58:44,  4.88s/it]  
 77%|███████▋  | 2404/3125 [55:16<49:26,  4.11s/it]
 77%|███████▋  | 2405/3125 [55:19<42:17,  3.52s/it]
 77%|███████▋  | 2406/3125 [55:21<37:54,  3.16s/it]
 77%|███████▋  | 2407/3125 [55:23<35:05,  2.93s/it]
 77%|███████▋  | 2408/3125 [55:26<33:23,  2.79s/it]
 77%|███████▋  | 2409/3125 [55:28<31:28,  2.64s/it]
 77%|███████▋  | 2410/3125 [55:31<30:57,  2.60s/it]
                                                   
{'loss': '1.06', 'grad_norm': '8.105', 'learning_rate': '1e-05', 'train/loss_infonce': '0.05298', 'train/loss_cot': '1.12', 'epoch': '3.856'}

 77%|███████▋  | 2410/3125 [55:31<30:57,  2.60s/it]
 77%|███████▋  | 2411/3125 [55:34<32:21,  2.72s/it]
 77%|███████▋  | 2412/3125 [55:36<30:36,  2.58s/it]
 77%|███████▋  | 2413/3125 [55:38<29:26,  2.48s/it]
 77%|███████▋  | 2414/3125 [55:41<30:39,  2.59s/it]
 77%|███████▋  | 2415/3125 [55:44<31:09,  2.63s/it]
 77%|███████▋  | 2416/3125 [55:46<29:38,  2.51s/it]
 77%|███████▋  | 2417/3125 [55:48<28:27,  2.41s/it]
 77%|███████▋  | 2418/3125 [55:51<29:47,  2.53s/it]
 77%|███████▋  | 2419/3125 [55:53<29:02,  2.47s/it]
 77%|███████▋  | 2420/3125 [55:56<30:03,  2.56s/it]
                                                   
{'loss': '1.044', 'grad_norm': '5.819', 'learning_rate': '1e-05', 'train/loss_infonce': '0.03149', 'train/loss_cot': '0.7594', 'epoch': '3.872'}

 77%|███████▋  | 2420/3125 [55:56<30:03,  2.56s/it]
 77%|███████▋  | 2421/3125 [55:58<29:24,  2.51s/it]
 78%|███████▊  | 2422/3125 [56:01<29:44,  2.54s/it]
 78%|███████▊  | 2423/3125 [56:03<28:31,  2.44s/it]
 78%|███████▊  | 2424/3125 [56:06<29:18,  2.51s/it]
 78%|███████▊  | 2425/3125 [56:08<28:00,  2.40s/it]
 78%|███████▊  | 2426/3125 [56:10<27:39,  2.37s/it]
 78%|███████▊  | 2427/3125 [56:13<27:15,  2.34s/it]
 78%|███████▊  | 2428/3125 [56:15<28:01,  2.41s/it]
 78%|███████▊  | 2429/3125 [56:18<29:56,  2.58s/it]
 78%|███████▊  | 2430/3125 [56:20<28:49,  2.49s/it]
                                                   
{'loss': '1.052', 'grad_norm': '6.574', 'learning_rate': '1e-05', 'train/loss_infonce': '0.1299', 'train/loss_cot': '1.008', 'epoch': '3.888'}

 78%|███████▊  | 2430/3125 [56:21<28:49,  2.49s/it]
 78%|███████▊  | 2431/3125 [56:23<28:58,  2.50s/it]
 78%|███████▊  | 2432/3125 [56:25<28:25,  2.46s/it]
 78%|███████▊  | 2433/3125 [56:28<27:47,  2.41s/it]
 78%|███████▊  | 2434/3125 [56:30<27:57,  2.43s/it]
 78%|███████▊  | 2435/3125 [56:33<28:34,  2.48s/it]
 78%|███████▊  | 2436/3125 [56:35<28:24,  2.47s/it]
 78%|███████▊  | 2437/3125 [56:38<28:17,  2.47s/it]
 78%|███████▊  | 2438/3125 [56:40<29:02,  2.54s/it]
 78%|███████▊  | 2439/3125 [56:43<28:18,  2.48s/it]
 78%|███████▊  | 2440/3125 [56:45<28:23,  2.49s/it]
                                                   
{'loss': '1.071', 'grad_norm': '7.519', 'learning_rate': '1e-05', 'train/loss_infonce': '0.1436', 'train/loss_cot': '1.373', 'epoch': '3.904'}

 78%|███████▊  | 2440/3125 [56:45<28:23,  2.49s/it]
 78%|███████▊  | 2441/3125 [56:47<27:53,  2.45s/it]
 78%|███████▊  | 2442/3125 [56:50<26:56,  2.37s/it]
 78%|███████▊  | 2443/3125 [56:52<28:20,  2.49s/it]
 78%|███████▊  | 2444/3125 [56:55<29:43,  2.62s/it]
 78%|███████▊  | 2445/3125 [56:58<28:38,  2.53s/it]
 78%|███████▊  | 2446/3125 [57:00<28:02,  2.48s/it]
 78%|███████▊  | 2447/3125 [57:03<28:18,  2.50s/it]
 78%|███████▊  | 2448/3125 [57:06<30:24,  2.69s/it]
 78%|███████▊  | 2449/3125 [57:08<28:35,  2.54s/it]
 78%|███████▊  | 2450/3125 [57:10<28:28,  2.53s/it]
                                                   
{'loss': '1.012', 'grad_norm': '5.586', 'learning_rate': '1e-05', 'train/loss_infonce': '0.009583', 'train/loss_cot': '0.9804', 'epoch': '3.92'}

 78%|███████▊  | 2450/3125 [57:11<28:28,  2.53s/it]
 78%|███████▊  | 2451/3125 [57:13<28:07,  2.50s/it]
 78%|███████▊  | 2452/3125 [57:15<27:12,  2.43s/it]
 78%|███████▊  | 2453/3125 [57:18<28:04,  2.51s/it]
 79%|███████▊  | 2454/3125 [57:20<27:43,  2.48s/it]
 79%|███████▊  | 2455/3125 [57:23<28:16,  2.53s/it]
 79%|███████▊  | 2456/3125 [57:26<29:39,  2.66s/it]
 79%|███████▊  | 2457/3125 [57:28<29:24,  2.64s/it]
 79%|███████▊  | 2458/3125 [57:31<28:25,  2.56s/it]
 79%|███████▊  | 2459/3125 [57:33<28:07,  2.53s/it]
 79%|███████▊  | 2460/3125 [57:36<28:48,  2.60s/it]
                                                   
{'loss': '1.112', 'grad_norm': '5.726', 'learning_rate': '1e-05', 'train/loss_infonce': '0.07129', 'train/loss_cot': '0.8806', 'epoch': '3.936'}

 79%|███████▊  | 2460/3125 [57:36<28:48,  2.60s/it]
 79%|███████▉  | 2461/3125 [57:39<29:35,  2.67s/it]
 79%|███████▉  | 2462/3125 [57:42<31:10,  2.82s/it]
 79%|███████▉  | 2463/3125 [57:44<29:49,  2.70s/it]
 79%|███████▉  | 2464/3125 [57:47<29:28,  2.68s/it]
 79%|███████▉  | 2465/3125 [57:49<28:21,  2.58s/it]
 79%|███████▉  | 2466/3125 [57:52<27:22,  2.49s/it]
 79%|███████▉  | 2467/3125 [57:54<27:11,  2.48s/it]
 79%|███████▉  | 2468/3125 [57:56<26:34,  2.43s/it]
 79%|███████▉  | 2469/3125 [57:59<26:26,  2.42s/it]
 79%|███████▉  | 2470/3125 [58:01<26:09,  2.40s/it]
                                                   
{'loss': '1.003', 'grad_norm': '5.478', 'learning_rate': '1e-05', 'train/loss_infonce': '0.01917', 'train/loss_cot': '1.118', 'epoch': '3.952'}

 79%|███████▉  | 2470/3125 [58:01<26:09,  2.40s/it]
 79%|███████▉  | 2471/3125 [58:04<27:16,  2.50s/it]
 79%|███████▉  | 2472/3125 [58:06<27:16,  2.51s/it]
 79%|███████▉  | 2473/3125 [58:09<26:19,  2.42s/it]
 79%|███████▉  | 2474/3125 [58:11<26:02,  2.40s/it]
 79%|███████▉  | 2475/3125 [58:14<29:08,  2.69s/it]
 79%|███████▉  | 2476/3125 [58:17<28:35,  2.64s/it]
 79%|███████▉  | 2477/3125 [58:19<27:56,  2.59s/it]
 79%|███████▉  | 2478/3125 [58:22<27:03,  2.51s/it]
 79%|███████▉  | 2479/3125 [58:25<29:49,  2.77s/it]
 79%|███████▉  | 2480/3125 [58:28<28:54,  2.69s/it]
                                                   
{'loss': '1.026', 'grad_norm': '6.181', 'learning_rate': '1e-05', 'train/loss_infonce': '0.006287', 'train/loss_cot': '1.017', 'epoch': '3.968'}

 79%|███████▉  | 2480/3125 [58:28<28:54,  2.69s/it]
 79%|███████▉  | 2481/3125 [58:30<28:32,  2.66s/it]
 79%|███████▉  | 2482/3125 [58:32<27:27,  2.56s/it]
 79%|███████▉  | 2483/3125 [58:35<27:38,  2.58s/it]
 79%|███████▉  | 2484/3125 [58:38<26:59,  2.53s/it]
 80%|███████▉  | 2485/3125 [58:40<26:29,  2.48s/it]
 80%|███████▉  | 2486/3125 [58:42<26:20,  2.47s/it]
 80%|███████▉  | 2487/3125 [58:45<27:18,  2.57s/it]
 80%|███████▉  | 2488/3125 [58:48<28:20,  2.67s/it]
 80%|███████▉  | 2489/3125 [58:52<32:23,  3.06s/it]
 80%|███████▉  | 2490/3125 [58:55<30:55,  2.92s/it]
                                                   
{'loss': '1.086', 'grad_norm': '7.063', 'learning_rate': '1e-05', 'train/loss_infonce': '0.0009918', 'train/loss_cot': '0.9763', 'epoch': '3.984'}

 80%|███████▉  | 2490/3125 [58:55<30:55,  2.92s/it]
 80%|███████▉  | 2491/3125 [58:57<29:23,  2.78s/it]
 80%|███████▉  | 2492/3125 [58:59<27:31,  2.61s/it]
 80%|███████▉  | 2493/3125 [59:02<26:44,  2.54s/it]
 80%|███████▉  | 2494/3125 [59:05<27:56,  2.66s/it]
 80%|███████▉  | 2495/3125 [59:07<27:48,  2.65s/it]
 80%|███████▉  | 2496/3125 [59:10<28:10,  2.69s/it]
 80%|███████▉  | 2497/3125 [59:13<29:30,  2.82s/it]
 80%|███████▉  | 2498/3125 [59:15<27:45,  2.66s/it]
 80%|███████▉  | 2499/3125 [59:18<27:04,  2.59s/it]
 80%|████████  | 2500/3125 [59:19<21:36,  2.08s/it]
                                                   
{'loss': '1.039', 'grad_norm': '5.045', 'learning_rate': '1e-05', 'train/loss_infonce': '0.0144', 'train/loss_cot': '0.7417', 'epoch': '4'}

 80%|████████  | 2500/3125 [59:19<21:36,  2.08s/it]
 80%|████████  | 2501/3125 [59:23<27:53,  2.68s/it]
 80%|████████  | 2502/3125 [59:25<26:59,  2.60s/it]
 80%|████████  | 2503/3125 [59:27<25:13,  2.43s/it]
 80%|████████  | 2504/3125 [59:30<25:48,  2.49s/it]
 80%|████████  | 2505/3125 [59:32<25:28,  2.47s/it]
 80%|████████  | 2506/3125 [59:35<26:32,  2.57s/it]
 80%|████████  | 2507/3125 [59:38<26:14,  2.55s/it]
 80%|████████  | 2508/3125 [59:40<25:07,  2.44s/it]
 80%|████████  | 2509/3125 [59:42<24:12,  2.36s/it]
 80%|████████  | 2510/3125 [59:44<23:51,  2.33s/it]
                                                   
{'loss': '0.9051', 'grad_norm': '5.313', 'learning_rate': '1e-05', 'train/loss_infonce': '0.009888', 'train/loss_cot': '0.9877', 'epoch': '4.016'}

 80%|████████  | 2510/3125 [59:45<23:51,  2.33s/it]
 80%|████████  | 2511/3125 [59:46<23:29,  2.30s/it]
 80%|████████  | 2512/3125 [59:49<23:15,  2.28s/it]
 80%|████████  | 2513/3125 [59:51<23:22,  2.29s/it]
 80%|████████  | 2514/3125 [59:53<23:03,  2.26s/it]
 80%|████████  | 2515/3125 [59:56<23:15,  2.29s/it]
 81%|████████  | 2516/3125 [59:58<23:30,  2.32s/it]
 81%|████████  | 2517/3125 [1:00:00<23:31,  2.32s/it]
 81%|████████  | 2518/3125 [1:00:02<22:47,  2.25s/it]
 81%|████████  | 2519/3125 [1:00:05<22:44,  2.25s/it]
 81%|████████  | 2520/3125 [1:00:07<22:58,  2.28s/it]
                                                     
{'loss': '0.926', 'grad_norm': '8.215', 'learning_rate': '1e-05', 'train/loss_infonce': '0.01526', 'train/loss_cot': '0.8317', 'epoch': '4.032'}

 81%|████████  | 2520/3125 [1:00:07<22:58,  2.28s/it]
 81%|████████  | 2521/3125 [1:00:09<22:53,  2.27s/it]
 81%|████████  | 2522/3125 [1:00:12<23:15,  2.31s/it]
 81%|████████  | 2523/3125 [1:00:14<23:28,  2.34s/it]
 81%|████████  | 2524/3125 [1:00:16<22:56,  2.29s/it]
 81%|████████  | 2525/3125 [1:00:19<23:07,  2.31s/it]
 81%|████████  | 2526/3125 [1:00:21<23:11,  2.32s/it]
 81%|████████  | 2527/3125 [1:00:23<22:56,  2.30s/it]
 81%|████████  | 2528/3125 [1:00:26<23:09,  2.33s/it]
 81%|████████  | 2529/3125 [1:00:28<23:40,  2.38s/it]
 81%|████████  | 2530/3125 [1:00:31<23:55,  2.41s/it]
                                                     
{'loss': '0.9035', 'grad_norm': '6.4', 'learning_rate': '1e-05', 'train/loss_infonce': '0.001251', 'train/loss_cot': '0.8418', 'epoch': '4.048'}

 81%|████████  | 2530/3125 [1:00:31<23:55,  2.41s/it]
 81%|████████  | 2531/3125 [1:00:33<24:31,  2.48s/it]
 81%|████████  | 2532/3125 [1:00:35<23:48,  2.41s/it]
 81%|████████  | 2533/3125 [1:00:38<23:13,  2.35s/it]
 81%|████████  | 2534/3125 [1:00:40<23:40,  2.40s/it]
 81%|████████  | 2535/3125 [1:00:42<23:23,  2.38s/it]
 81%|████████  | 2536/3125 [1:00:45<24:46,  2.52s/it]
 81%|████████  | 2537/3125 [1:00:48<24:11,  2.47s/it]
 81%|████████  | 2538/3125 [1:00:50<23:31,  2.41s/it]
 81%|████████  | 2539/3125 [1:00:52<23:13,  2.38s/it]
 81%|████████▏ | 2540/3125 [1:00:57<28:44,  2.95s/it]
                                                     
{'loss': '0.915', 'grad_norm': '5.605', 'learning_rate': '1e-05', 'train/loss_infonce': '0.02515', 'train/loss_cot': '0.7679', 'epoch': '4.064'}

 81%|████████▏ | 2540/3125 [1:00:57<28:44,  2.95s/it]
 81%|████████▏ | 2541/3125 [1:00:59<26:50,  2.76s/it]
 81%|████████▏ | 2542/3125 [1:01:01<25:38,  2.64s/it]
 81%|████████▏ | 2543/3125 [1:01:04<25:21,  2.61s/it]
 81%|████████▏ | 2544/3125 [1:01:06<23:36,  2.44s/it]
 81%|████████▏ | 2545/3125 [1:01:08<22:37,  2.34s/it]
 81%|████████▏ | 2546/3125 [1:01:10<22:25,  2.32s/it]
 82%|████████▏ | 2547/3125 [1:01:12<22:01,  2.29s/it]
 82%|████████▏ | 2548/3125 [1:01:15<21:44,  2.26s/it]
 82%|████████▏ | 2549/3125 [1:01:17<21:38,  2.25s/it]
 82%|████████▏ | 2550/3125 [1:01:19<21:27,  2.24s/it]
                                                     
{'loss': '0.918', 'grad_norm': '5.706', 'learning_rate': '1e-05', 'train/loss_infonce': '0.05029', 'train/loss_cot': '0.6901', 'epoch': '4.08'}

 82%|████████▏ | 2550/3125 [1:01:19<21:27,  2.24s/it]
 82%|████████▏ | 2551/3125 [1:01:22<22:37,  2.37s/it]
 82%|████████▏ | 2552/3125 [1:01:24<22:10,  2.32s/it]
 82%|████████▏ | 2553/3125 [1:01:26<22:23,  2.35s/it]
 82%|████████▏ | 2554/3125 [1:01:28<21:49,  2.29s/it]
 82%|████████▏ | 2555/3125 [1:01:31<22:00,  2.32s/it]
 82%|████████▏ | 2556/3125 [1:01:33<21:42,  2.29s/it]
 82%|████████▏ | 2557/3125 [1:01:35<21:42,  2.29s/it]
 82%|████████▏ | 2558/3125 [1:01:38<22:19,  2.36s/it]
 82%|████████▏ | 2559/3125 [1:01:40<22:31,  2.39s/it]
 82%|████████▏ | 2560/3125 [1:01:43<23:10,  2.46s/it]
                                                     
{'loss': '0.8848', 'grad_norm': '5.381', 'learning_rate': '1e-05', 'train/loss_infonce': '0.007385', 'train/loss_cot': '0.8134', 'epoch': '4.096'}

 82%|████████▏ | 2560/3125 [1:01:43<23:10,  2.46s/it]
 82%|████████▏ | 2561/3125 [1:01:45<23:06,  2.46s/it]
 82%|████████▏ | 2562/3125 [1:01:48<22:32,  2.40s/it]
 82%|████████▏ | 2563/3125 [1:01:50<22:29,  2.40s/it]
 82%|████████▏ | 2564/3125 [1:01:53<24:31,  2.62s/it]
 82%|████████▏ | 2565/3125 [1:01:56<24:18,  2.61s/it]
 82%|████████▏ | 2566/3125 [1:01:58<23:16,  2.50s/it]
 82%|████████▏ | 2567/3125 [1:02:00<22:35,  2.43s/it]
 82%|████████▏ | 2568/3125 [1:02:03<21:51,  2.35s/it]
 82%|████████▏ | 2569/3125 [1:02:05<22:28,  2.42s/it]
 82%|████████▏ | 2570/3125 [1:02:07<21:39,  2.34s/it]
                                                     
{'loss': '0.924', 'grad_norm': '5.49', 'learning_rate': '1e-05', 'train/loss_infonce': '0.02563', 'train/loss_cot': '0.735', 'epoch': '4.112'}

 82%|████████▏ | 2570/3125 [1:02:07<21:39,  2.34s/it]
 82%|████████▏ | 2571/3125 [1:02:09<21:12,  2.30s/it]
 82%|████████▏ | 2572/3125 [1:02:12<20:46,  2.25s/it]
 82%|████████▏ | 2573/3125 [1:02:14<21:55,  2.38s/it]
 82%|████████▏ | 2574/3125 [1:02:17<21:49,  2.38s/it]
 82%|████████▏ | 2575/3125 [1:02:19<21:42,  2.37s/it]
 82%|████████▏ | 2576/3125 [1:02:21<20:58,  2.29s/it]
 82%|████████▏ | 2577/3125 [1:02:24<21:35,  2.36s/it]
 82%|████████▏ | 2578/3125 [1:02:26<21:31,  2.36s/it]
 83%|████████▎ | 2579/3125 [1:02:28<21:42,  2.38s/it]
 83%|████████▎ | 2580/3125 [1:02:31<20:57,  2.31s/it]
                                                     
{'loss': '0.9002', 'grad_norm': '5.771', 'learning_rate': '1e-05', 'train/loss_infonce': '0.02661', 'train/loss_cot': '1.161', 'epoch': '4.128'}

 83%|████████▎ | 2580/3125 [1:02:31<20:57,  2.31s/it]
 83%|████████▎ | 2581/3125 [1:02:33<21:10,  2.34s/it]
 83%|████████▎ | 2582/3125 [1:02:35<21:07,  2.33s/it]
 83%|████████▎ | 2583/3125 [1:02:38<20:46,  2.30s/it]
 83%|████████▎ | 2584/3125 [1:02:41<22:41,  2.52s/it]
 83%|████████▎ | 2585/3125 [1:02:43<21:43,  2.41s/it]
 83%|████████▎ | 2586/3125 [1:02:45<21:28,  2.39s/it]
 83%|████████▎ | 2587/3125 [1:02:47<20:49,  2.32s/it]
 83%|████████▎ | 2588/3125 [1:02:49<20:10,  2.25s/it]
 83%|████████▎ | 2589/3125 [1:02:51<19:55,  2.23s/it]
 83%|████████▎ | 2590/3125 [1:02:54<19:34,  2.20s/it]
                                                     
{'loss': '0.9345', 'grad_norm': '6.001', 'learning_rate': '1e-05', 'train/loss_infonce': '0.02026', 'train/loss_cot': '0.8109', 'epoch': '4.144'}

 83%|████████▎ | 2590/3125 [1:02:54<19:34,  2.20s/it]
 83%|████████▎ | 2591/3125 [1:02:56<19:28,  2.19s/it]
 83%|████████▎ | 2592/3125 [1:02:58<19:20,  2.18s/it]
 83%|████████▎ | 2593/3125 [1:03:00<19:30,  2.20s/it]
 83%|████████▎ | 2594/3125 [1:03:03<19:59,  2.26s/it]
 83%|████████▎ | 2595/3125 [1:03:05<20:00,  2.27s/it]
 83%|████████▎ | 2596/3125 [1:03:08<21:02,  2.39s/it]
 83%|████████▎ | 2597/3125 [1:03:10<20:30,  2.33s/it]
 83%|████████▎ | 2598/3125 [1:03:12<20:24,  2.32s/it]
 83%|████████▎ | 2599/3125 [1:03:14<19:59,  2.28s/it]
 83%|████████▎ | 2600/3125 [1:03:17<20:26,  2.34s/it]
                                                     
{'loss': '0.9016', 'grad_norm': '5.41', 'learning_rate': '1e-05', 'train/loss_infonce': '0.007324', 'train/loss_cot': '1.068', 'epoch': '4.16'}

 83%|████████▎ | 2600/3125 [1:03:17<20:26,  2.34s/it]
 83%|████████▎ | 2601/3125 [1:03:42<1:20:56,  9.27s/it]
 83%|████████▎ | 2602/3125 [1:03:44<1:02:24,  7.16s/it]
 83%|████████▎ | 2603/3125 [1:03:47<50:46,  5.84s/it]  
 83%|████████▎ | 2604/3125 [1:03:49<41:22,  4.76s/it]
 83%|████████▎ | 2605/3125 [1:03:52<35:38,  4.11s/it]
 83%|████████▎ | 2606/3125 [1:03:54<30:05,  3.48s/it]
 83%|████████▎ | 2607/3125 [1:03:56<27:11,  3.15s/it]
 83%|████████▎ | 2608/3125 [1:03:59<25:12,  2.93s/it]
 83%|████████▎ | 2609/3125 [1:04:01<24:27,  2.84s/it]
 84%|████████▎ | 2610/3125 [1:04:04<23:30,  2.74s/it]
                                                     
{'loss': '0.9221', 'grad_norm': '6.122', 'learning_rate': '1e-05', 'train/loss_infonce': '0.003906', 'train/loss_cot': '0.9342', 'epoch': '4.176'}

 84%|████████▎ | 2610/3125 [1:04:04<23:30,  2.74s/it]
 84%|████████▎ | 2611/3125 [1:04:07<23:18,  2.72s/it]
 84%|████████▎ | 2612/3125 [1:04:09<22:23,  2.62s/it]
 84%|████████▎ | 2613/3125 [1:04:11<21:33,  2.53s/it]
 84%|████████▎ | 2614/3125 [1:04:13<20:36,  2.42s/it]
 84%|████████▎ | 2615/3125 [1:04:16<20:07,  2.37s/it]
 84%|████████▎ | 2616/3125 [1:04:18<20:10,  2.38s/it]
 84%|████████▎ | 2617/3125 [1:04:20<19:28,  2.30s/it]
 84%|████████▍ | 2618/3125 [1:04:22<18:42,  2.21s/it]
 84%|████████▍ | 2619/3125 [1:04:25<19:46,  2.35s/it]
 84%|████████▍ | 2620/3125 [1:04:27<19:35,  2.33s/it]
                                                     
{'loss': '0.9426', 'grad_norm': '5.338', 'learning_rate': '1e-05', 'train/loss_infonce': '0.0007439', 'train/loss_cot': '0.8629', 'epoch': '4.192'}

 84%|████████▍ | 2620/3125 [1:04:27<19:35,  2.33s/it]
 84%|████████▍ | 2621/3125 [1:04:30<19:40,  2.34s/it]
 84%|████████▍ | 2622/3125 [1:04:32<19:49,  2.36s/it]
 84%|████████▍ | 2623/3125 [1:04:34<20:07,  2.41s/it]
 84%|████████▍ | 2624/3125 [1:04:37<19:48,  2.37s/it]
 84%|████████▍ | 2625/3125 [1:04:39<19:37,  2.35s/it]
 84%|████████▍ | 2626/3125 [1:04:41<18:53,  2.27s/it]
 84%|████████▍ | 2627/3125 [1:04:44<19:14,  2.32s/it]
 84%|████████▍ | 2628/3125 [1:04:46<20:00,  2.41s/it]
 84%|████████▍ | 2629/3125 [1:04:49<21:41,  2.62s/it]
 84%|████████▍ | 2630/3125 [1:04:51<20:14,  2.45s/it]
                                                     
{'loss': '0.9196', 'grad_norm': '5.756', 'learning_rate': '1e-05', 'train/loss_infonce': '0.04688', 'train/loss_cot': '1.033', 'epoch': '4.208'}

 84%|████████▍ | 2630/3125 [1:04:52<20:14,  2.45s/it]
 84%|████████▍ | 2631/3125 [1:04:54<19:39,  2.39s/it]
 84%|████████▍ | 2632/3125 [1:04:56<19:42,  2.40s/it]
 84%|████████▍ | 2633/3125 [1:04:58<19:15,  2.35s/it]
 84%|████████▍ | 2634/3125 [1:05:00<18:46,  2.29s/it]
 84%|████████▍ | 2635/3125 [1:05:03<20:08,  2.47s/it]
 84%|████████▍ | 2636/3125 [1:05:05<19:12,  2.36s/it]
 84%|████████▍ | 2637/3125 [1:05:08<19:05,  2.35s/it]
 84%|████████▍ | 2638/3125 [1:05:10<18:29,  2.28s/it]
 84%|████████▍ | 2639/3125 [1:05:12<17:45,  2.19s/it]
 84%|████████▍ | 2640/3125 [1:05:14<17:17,  2.14s/it]
                                                     
{'loss': '0.936', 'grad_norm': '5.737', 'learning_rate': '1e-05', 'train/loss_infonce': '0.005432', 'train/loss_cot': '0.8158', 'epoch': '4.224'}

 84%|████████▍ | 2640/3125 [1:05:14<17:17,  2.14s/it]
 85%|████████▍ | 2641/3125 [1:05:16<17:33,  2.18s/it]
 85%|████████▍ | 2642/3125 [1:05:18<18:00,  2.24s/it]
 85%|████████▍ | 2643/3125 [1:05:21<17:52,  2.23s/it]
 85%|████████▍ | 2644/3125 [1:05:23<17:46,  2.22s/it]
 85%|████████▍ | 2645/3125 [1:05:25<17:38,  2.20s/it]
 85%|████████▍ | 2646/3125 [1:05:27<17:39,  2.21s/it]
 85%|████████▍ | 2647/3125 [1:05:30<17:53,  2.25s/it]
 85%|████████▍ | 2648/3125 [1:05:32<18:03,  2.27s/it]
 85%|████████▍ | 2649/3125 [1:05:34<18:26,  2.32s/it]
 85%|████████▍ | 2650/3125 [1:05:37<18:56,  2.39s/it]
                                                     
{'loss': '0.878', 'grad_norm': '8.752', 'learning_rate': '1e-05', 'train/loss_infonce': '0.126', 'train/loss_cot': '0.7221', 'epoch': '4.24'}

 85%|████████▍ | 2650/3125 [1:05:37<18:56,  2.39s/it]
 85%|████████▍ | 2651/3125 [1:05:40<19:23,  2.45s/it]
 85%|████████▍ | 2652/3125 [1:05:42<19:37,  2.49s/it]
 85%|████████▍ | 2653/3125 [1:05:45<19:28,  2.48s/it]
 85%|████████▍ | 2654/3125 [1:05:47<18:34,  2.37s/it]
 85%|████████▍ | 2655/3125 [1:05:49<19:02,  2.43s/it]
 85%|████████▍ | 2656/3125 [1:05:51<18:10,  2.33s/it]
 85%|████████▌ | 2657/3125 [1:05:54<19:09,  2.46s/it]
 85%|████████▌ | 2658/3125 [1:05:56<18:29,  2.38s/it]
 85%|████████▌ | 2659/3125 [1:05:58<18:08,  2.34s/it]
 85%|████████▌ | 2660/3125 [1:06:01<17:55,  2.31s/it]
                                                     
{'loss': '0.918', 'grad_norm': '6.071', 'learning_rate': '1e-05', 'train/loss_infonce': '0.009521', 'train/loss_cot': '1.002', 'epoch': '4.256'}

 85%|████████▌ | 2660/3125 [1:06:01<17:55,  2.31s/it]
 85%|████████▌ | 2661/3125 [1:06:03<18:02,  2.33s/it]
 85%|████████▌ | 2662/3125 [1:06:05<17:58,  2.33s/it]
 85%|████████▌ | 2663/3125 [1:06:08<19:10,  2.49s/it]
 85%|████████▌ | 2664/3125 [1:06:11<19:02,  2.48s/it]
 85%|████████▌ | 2665/3125 [1:06:13<18:24,  2.40s/it]
 85%|████████▌ | 2666/3125 [1:06:16<18:50,  2.46s/it]
 85%|████████▌ | 2667/3125 [1:06:18<19:02,  2.49s/it]
 85%|████████▌ | 2668/3125 [1:06:20<18:29,  2.43s/it]
 85%|████████▌ | 2669/3125 [1:06:23<17:39,  2.32s/it]
 85%|████████▌ | 2670/3125 [1:06:25<17:51,  2.35s/it]
                                                     
{'loss': '0.9399', 'grad_norm': '6.179', 'learning_rate': '1e-05', 'train/loss_infonce': '0.003006', 'train/loss_cot': '0.7153', 'epoch': '4.272'}

 85%|████████▌ | 2670/3125 [1:06:25<17:51,  2.35s/it]
 85%|████████▌ | 2671/3125 [1:06:28<18:57,  2.51s/it]
 86%|████████▌ | 2672/3125 [1:06:30<18:05,  2.40s/it]
 86%|████████▌ | 2673/3125 [1:06:33<19:08,  2.54s/it]
 86%|████████▌ | 2674/3125 [1:06:35<19:08,  2.55s/it]
 86%|████████▌ | 2675/3125 [1:06:38<18:47,  2.50s/it]
 86%|████████▌ | 2676/3125 [1:06:40<17:56,  2.40s/it]
 86%|████████▌ | 2677/3125 [1:06:43<18:24,  2.46s/it]
 86%|████████▌ | 2678/3125 [1:06:45<18:50,  2.53s/it]
 86%|████████▌ | 2679/3125 [1:06:47<18:02,  2.43s/it]
 86%|████████▌ | 2680/3125 [1:06:50<17:18,  2.33s/it]
                                                     
{'loss': '0.9654', 'grad_norm': '10.99', 'learning_rate': '1e-05', 'train/loss_infonce': '0.00148', 'train/loss_cot': '1.084', 'epoch': '4.288'}

 86%|████████▌ | 2680/3125 [1:06:50<17:18,  2.33s/it]
 86%|████████▌ | 2681/3125 [1:06:52<17:21,  2.35s/it]
 86%|████████▌ | 2682/3125 [1:06:54<17:46,  2.41s/it]
 86%|████████▌ | 2683/3125 [1:06:57<17:42,  2.40s/it]
 86%|████████▌ | 2684/3125 [1:06:59<18:07,  2.47s/it]
 86%|████████▌ | 2685/3125 [1:07:02<18:15,  2.49s/it]
 86%|████████▌ | 2686/3125 [1:07:05<18:35,  2.54s/it]
 86%|████████▌ | 2687/3125 [1:07:07<17:52,  2.45s/it]
 86%|████████▌ | 2688/3125 [1:07:09<17:34,  2.41s/it]
 86%|████████▌ | 2689/3125 [1:07:11<16:59,  2.34s/it]
 86%|████████▌ | 2690/3125 [1:07:14<16:53,  2.33s/it]
                                                     
{'loss': '0.9463', 'grad_norm': '5.868', 'learning_rate': '1e-05', 'train/loss_infonce': '0.0006409', 'train/loss_cot': '0.8968', 'epoch': '4.304'}

 86%|████████▌ | 2690/3125 [1:07:14<16:53,  2.33s/it]
 86%|████████▌ | 2691/3125 [1:07:16<17:07,  2.37s/it]
 86%|████████▌ | 2692/3125 [1:07:18<16:33,  2.29s/it]
 86%|████████▌ | 2693/3125 [1:07:20<16:13,  2.25s/it]
 86%|████████▌ | 2694/3125 [1:07:23<17:07,  2.38s/it]
 86%|████████▌ | 2695/3125 [1:07:26<17:02,  2.38s/it]
 86%|████████▋ | 2696/3125 [1:07:28<17:07,  2.40s/it]
 86%|████████▋ | 2697/3125 [1:07:30<17:08,  2.40s/it]
 86%|████████▋ | 2698/3125 [1:07:34<19:01,  2.67s/it]
 86%|████████▋ | 2699/3125 [1:07:36<19:12,  2.70s/it]
 86%|████████▋ | 2700/3125 [1:07:39<19:13,  2.72s/it]
                                                     
{'loss': '0.9627', 'grad_norm': '6.543', 'learning_rate': '1e-05', 'train/loss_infonce': '0.05688', 'train/loss_cot': '0.9982', 'epoch': '4.32'}

 86%|████████▋ | 2700/3125 [1:07:39<19:13,  2.72s/it]
 86%|████████▋ | 2701/3125 [1:07:41<18:15,  2.58s/it]
 86%|████████▋ | 2702/3125 [1:07:44<18:28,  2.62s/it]
 86%|████████▋ | 2703/3125 [1:07:48<20:02,  2.85s/it]
 87%|████████▋ | 2704/3125 [1:07:50<18:51,  2.69s/it]
 87%|████████▋ | 2705/3125 [1:07:52<18:35,  2.66s/it]
 87%|████████▋ | 2706/3125 [1:07:55<17:39,  2.53s/it]
 87%|████████▋ | 2707/3125 [1:07:57<16:57,  2.43s/it]
 87%|████████▋ | 2708/3125 [1:07:59<16:18,  2.35s/it]
 87%|████████▋ | 2709/3125 [1:08:01<16:16,  2.35s/it]
 87%|████████▋ | 2710/3125 [1:08:04<16:53,  2.44s/it]
                                                     
{'loss': '0.9318', 'grad_norm': '5.506', 'learning_rate': '1e-05', 'train/loss_infonce': '1.335e-05', 'train/loss_cot': '0.9976', 'epoch': '4.336'}

 87%|████████▋ | 2710/3125 [1:08:04<16:53,  2.44s/it]
 87%|████████▋ | 2711/3125 [1:08:06<16:41,  2.42s/it]
 87%|████████▋ | 2712/3125 [1:08:09<16:25,  2.39s/it]
 87%|████████▋ | 2713/3125 [1:08:11<16:05,  2.34s/it]
 87%|████████▋ | 2714/3125 [1:08:13<15:35,  2.28s/it]
 87%|████████▋ | 2715/3125 [1:08:16<15:59,  2.34s/it]
 87%|████████▋ | 2716/3125 [1:08:18<15:34,  2.29s/it]
 87%|████████▋ | 2717/3125 [1:08:20<15:14,  2.24s/it]
 87%|████████▋ | 2718/3125 [1:08:22<15:46,  2.33s/it]
 87%|████████▋ | 2719/3125 [1:08:25<15:56,  2.36s/it]
 87%|████████▋ | 2720/3125 [1:08:27<15:40,  2.32s/it]
                                                     
{'loss': '0.9862', 'grad_norm': '5.527', 'learning_rate': '1e-05', 'train/loss_infonce': '0.0007401', 'train/loss_cot': '1.246', 'epoch': '4.352'}

 87%|████████▋ | 2720/3125 [1:08:27<15:40,  2.32s/it]
 87%|████████▋ | 2721/3125 [1:08:29<15:25,  2.29s/it]
 87%|████████▋ | 2722/3125 [1:08:32<16:02,  2.39s/it]
 87%|████████▋ | 2723/3125 [1:08:34<16:15,  2.43s/it]
 87%|████████▋ | 2724/3125 [1:08:37<16:00,  2.40s/it]
 87%|████████▋ | 2725/3125 [1:08:39<15:46,  2.37s/it]
 87%|████████▋ | 2726/3125 [1:08:41<15:34,  2.34s/it]
 87%|████████▋ | 2727/3125 [1:08:44<16:03,  2.42s/it]
 87%|████████▋ | 2728/3125 [1:08:46<15:54,  2.41s/it]
 87%|████████▋ | 2729/3125 [1:08:49<15:40,  2.38s/it]
 87%|████████▋ | 2730/3125 [1:08:51<15:23,  2.34s/it]
                                                     
{'loss': '0.9755', 'grad_norm': '5.466', 'learning_rate': '1e-05', 'train/loss_infonce': '0.0004082', 'train/loss_cot': '0.845', 'epoch': '4.368'}

 87%|████████▋ | 2730/3125 [1:08:51<15:23,  2.34s/it]
 87%|████████▋ | 2731/3125 [1:08:53<15:20,  2.34s/it]
 87%|████████▋ | 2732/3125 [1:08:56<15:36,  2.38s/it]
 87%|████████▋ | 2733/3125 [1:08:58<15:17,  2.34s/it]
 87%|████████▋ | 2734/3125 [1:09:01<16:46,  2.57s/it]
 88%|████████▊ | 2735/3125 [1:09:03<16:12,  2.49s/it]
 88%|████████▊ | 2736/3125 [1:09:06<15:31,  2.39s/it]
 88%|████████▊ | 2737/3125 [1:09:08<14:57,  2.31s/it]
 88%|████████▊ | 2738/3125 [1:09:10<14:46,  2.29s/it]
 88%|████████▊ | 2739/3125 [1:09:12<14:56,  2.32s/it]
 88%|████████▊ | 2740/3125 [1:09:15<15:58,  2.49s/it]
                                                     
{'loss': '0.9483', 'grad_norm': '6.557', 'learning_rate': '1e-05', 'train/loss_infonce': '0.001228', 'train/loss_cot': '0.6776', 'epoch': '4.384'}

 88%|████████▊ | 2740/3125 [1:09:15<15:58,  2.49s/it]
 88%|████████▊ | 2741/3125 [1:09:17<15:28,  2.42s/it]
 88%|████████▊ | 2742/3125 [1:09:19<14:46,  2.32s/it]
 88%|████████▊ | 2743/3125 [1:09:22<14:33,  2.29s/it]
 88%|████████▊ | 2744/3125 [1:09:25<15:34,  2.45s/it]
 88%|████████▊ | 2745/3125 [1:09:27<15:27,  2.44s/it]
 88%|████████▊ | 2746/3125 [1:09:30<15:53,  2.52s/it]
 88%|████████▊ | 2747/3125 [1:09:32<15:39,  2.49s/it]
 88%|████████▊ | 2748/3125 [1:09:34<15:22,  2.45s/it]
 88%|████████▊ | 2749/3125 [1:09:37<15:12,  2.43s/it]
 88%|████████▊ | 2750/3125 [1:09:39<14:58,  2.40s/it]
                                                     
{'loss': '0.9502', 'grad_norm': '5.16', 'learning_rate': '1e-05', 'train/loss_infonce': '0.0007439', 'train/loss_cot': '0.7696', 'epoch': '4.4'}

 88%|████████▊ | 2750/3125 [1:09:39<14:58,  2.40s/it]
 88%|████████▊ | 2751/3125 [1:09:41<14:50,  2.38s/it]
 88%|████████▊ | 2752/3125 [1:09:43<14:09,  2.28s/it]
 88%|████████▊ | 2753/3125 [1:09:46<14:55,  2.41s/it]
 88%|████████▊ | 2754/3125 [1:09:48<14:25,  2.33s/it]
 88%|████████▊ | 2755/3125 [1:09:51<14:01,  2.28s/it]
 88%|████████▊ | 2756/3125 [1:09:53<13:43,  2.23s/it]
 88%|████████▊ | 2757/3125 [1:09:55<13:40,  2.23s/it]
 88%|████████▊ | 2758/3125 [1:09:58<14:59,  2.45s/it]
 88%|████████▊ | 2759/3125 [1:10:01<16:37,  2.73s/it]
 88%|████████▊ | 2760/3125 [1:10:04<15:52,  2.61s/it]
                                                     
{'loss': '0.9154', 'grad_norm': '6.214', 'learning_rate': '1e-05', 'train/loss_infonce': '0.0004864', 'train/loss_cot': '0.7799', 'epoch': '4.416'}

 88%|████████▊ | 2760/3125 [1:10:04<15:52,  2.61s/it]
 88%|████████▊ | 2761/3125 [1:10:06<15:50,  2.61s/it]
 88%|████████▊ | 2762/3125 [1:10:08<14:55,  2.47s/it]
 88%|████████▊ | 2763/3125 [1:10:11<14:54,  2.47s/it]
 88%|████████▊ | 2764/3125 [1:10:14<15:24,  2.56s/it]
 88%|████████▊ | 2765/3125 [1:10:16<14:51,  2.48s/it]
 89%|████████▊ | 2766/3125 [1:10:18<14:46,  2.47s/it]
 89%|████████▊ | 2767/3125 [1:10:20<14:10,  2.38s/it]
 89%|████████▊ | 2768/3125 [1:10:23<13:49,  2.32s/it]
 89%|████████▊ | 2769/3125 [1:10:25<13:59,  2.36s/it]
 89%|████████▊ | 2770/3125 [1:10:28<14:32,  2.46s/it]
                                                     
{'loss': '0.9563', 'grad_norm': '5.857', 'learning_rate': '1e-05', 'train/loss_infonce': '0.01288', 'train/loss_cot': '0.8022', 'epoch': '4.432'}

 89%|████████▊ | 2770/3125 [1:10:28<14:32,  2.46s/it]
 89%|████████▊ | 2771/3125 [1:10:30<13:57,  2.37s/it]
 89%|████████▊ | 2772/3125 [1:10:32<13:39,  2.32s/it]
 89%|████████▊ | 2773/3125 [1:10:34<13:09,  2.24s/it]
 89%|████████▉ | 2774/3125 [1:10:37<13:18,  2.28s/it]
 89%|████████▉ | 2775/3125 [1:10:39<14:10,  2.43s/it]
 89%|████████▉ | 2776/3125 [1:10:41<13:36,  2.34s/it]
 89%|████████▉ | 2777/3125 [1:10:44<14:18,  2.47s/it]
 89%|████████▉ | 2778/3125 [1:10:47<14:01,  2.42s/it]
 89%|████████▉ | 2779/3125 [1:10:49<13:47,  2.39s/it]
 89%|████████▉ | 2780/3125 [1:10:52<14:22,  2.50s/it]
                                                     
{'loss': '0.9696', 'grad_norm': '5.936', 'learning_rate': '1e-05', 'train/loss_infonce': '0.09912', 'train/loss_cot': '0.9383', 'epoch': '4.448'}

 89%|████████▉ | 2780/3125 [1:10:52<14:22,  2.50s/it]
 89%|████████▉ | 2781/3125 [1:10:54<14:43,  2.57s/it]
 89%|████████▉ | 2782/3125 [1:10:57<14:13,  2.49s/it]
 89%|████████▉ | 2783/3125 [1:10:59<14:21,  2.52s/it]
 89%|████████▉ | 2784/3125 [1:11:01<13:53,  2.44s/it]
 89%|████████▉ | 2785/3125 [1:11:04<14:16,  2.52s/it]
 89%|████████▉ | 2786/3125 [1:11:06<13:52,  2.46s/it]
 89%|████████▉ | 2787/3125 [1:11:09<13:21,  2.37s/it]
 89%|████████▉ | 2788/3125 [1:11:12<14:31,  2.59s/it]
 89%|████████▉ | 2789/3125 [1:11:14<14:03,  2.51s/it]
 89%|████████▉ | 2790/3125 [1:11:16<13:33,  2.43s/it]
                                                     
{'loss': '0.9493', 'grad_norm': '5.304', 'learning_rate': '1e-05', 'train/loss_infonce': '0.0188', 'train/loss_cot': '1.175', 'epoch': '4.464'}

 89%|████████▉ | 2790/3125 [1:11:17<13:33,  2.43s/it]
 89%|████████▉ | 2791/3125 [1:11:19<13:24,  2.41s/it]
 89%|████████▉ | 2792/3125 [1:11:21<13:14,  2.38s/it]
 89%|████████▉ | 2793/3125 [1:11:24<13:55,  2.52s/it]
 89%|████████▉ | 2794/3125 [1:11:26<13:39,  2.47s/it]
 89%|████████▉ | 2795/3125 [1:11:28<13:04,  2.38s/it]
 89%|████████▉ | 2796/3125 [1:11:31<13:01,  2.38s/it]
 90%|████████▉ | 2797/3125 [1:11:33<13:17,  2.43s/it]
 90%|████████▉ | 2798/3125 [1:11:36<12:57,  2.38s/it]
 90%|████████▉ | 2799/3125 [1:11:38<13:09,  2.42s/it]
 90%|████████▉ | 2800/3125 [1:11:40<12:51,  2.37s/it]
                                                     
{'loss': '0.9415', 'grad_norm': '5.876', 'learning_rate': '1e-05', 'train/loss_infonce': '0.02368', 'train/loss_cot': '1.129', 'epoch': '4.48'}

 90%|████████▉ | 2800/3125 [1:11:41<12:51,  2.37s/it]
 90%|████████▉ | 2801/3125 [1:12:07<52:13,  9.67s/it]
 90%|████████▉ | 2802/3125 [1:12:09<40:10,  7.46s/it]
 90%|████████▉ | 2803/3125 [1:12:12<31:30,  5.87s/it]
 90%|████████▉ | 2804/3125 [1:12:14<25:45,  4.81s/it]
 90%|████████▉ | 2805/3125 [1:12:16<21:53,  4.10s/it]
 90%|████████▉ | 2806/3125 [1:12:19<19:23,  3.65s/it]
 90%|████████▉ | 2807/3125 [1:12:21<17:22,  3.28s/it]
 90%|████████▉ | 2808/3125 [1:12:24<16:51,  3.19s/it]
 90%|████████▉ | 2809/3125 [1:12:27<16:15,  3.09s/it]
 90%|████████▉ | 2810/3125 [1:12:29<14:41,  2.80s/it]
                                                     
{'loss': '0.9474', 'grad_norm': '5.484', 'learning_rate': '1e-05', 'train/loss_infonce': '0.009216', 'train/loss_cot': '1.045', 'epoch': '4.496'}

 90%|████████▉ | 2810/3125 [1:12:30<14:41,  2.80s/it]
 90%|████████▉ | 2811/3125 [1:12:32<13:55,  2.66s/it]
 90%|████████▉ | 2812/3125 [1:12:34<13:38,  2.62s/it]
 90%|█████████ | 2813/3125 [1:12:37<13:36,  2.62s/it]
 90%|█████████ | 2814/3125 [1:12:39<13:13,  2.55s/it]
 90%|█████████ | 2815/3125 [1:12:42<12:57,  2.51s/it]
 90%|█████████ | 2816/3125 [1:12:44<12:08,  2.36s/it]
 90%|█████████ | 2817/3125 [1:12:46<12:02,  2.35s/it]
 90%|█████████ | 2818/3125 [1:12:48<11:54,  2.33s/it]
 90%|█████████ | 2819/3125 [1:12:50<11:52,  2.33s/it]
 90%|█████████ | 2820/3125 [1:12:53<11:42,  2.30s/it]
                                                     
{'loss': '0.9563', 'grad_norm': '5.086', 'learning_rate': '1e-05', 'train/loss_infonce': '0.007996', 'train/loss_cot': '0.8669', 'epoch': '4.512'}

 90%|█████████ | 2820/3125 [1:12:53<11:42,  2.30s/it]
 90%|█████████ | 2821/3125 [1:12:55<11:55,  2.35s/it]
 90%|█████████ | 2822/3125 [1:12:57<11:38,  2.30s/it]
 90%|█████████ | 2823/3125 [1:13:00<12:11,  2.42s/it]
 90%|█████████ | 2824/3125 [1:13:02<11:50,  2.36s/it]
 90%|█████████ | 2825/3125 [1:13:04<11:16,  2.26s/it]
 90%|█████████ | 2826/3125 [1:13:07<11:24,  2.29s/it]
 90%|█████████ | 2827/3125 [1:13:09<11:39,  2.35s/it]
 90%|█████████ | 2828/3125 [1:13:12<11:36,  2.34s/it]
 91%|█████████ | 2829/3125 [1:13:14<11:23,  2.31s/it]
 91%|█████████ | 2830/3125 [1:13:16<11:52,  2.42s/it]
                                                     
{'loss': '0.9548', 'grad_norm': '5.99', 'learning_rate': '1e-05', 'train/loss_infonce': '0.004578', 'train/loss_cot': '0.936', 'epoch': '4.528'}

 91%|█████████ | 2830/3125 [1:13:17<11:52,  2.42s/it]
 91%|█████████ | 2831/3125 [1:13:19<11:41,  2.39s/it]
 91%|█████████ | 2832/3125 [1:13:21<12:08,  2.49s/it]
 91%|█████████ | 2833/3125 [1:13:24<12:09,  2.50s/it]
 91%|█████████ | 2834/3125 [1:13:26<11:55,  2.46s/it]
 91%|█████████ | 2835/3125 [1:13:29<12:22,  2.56s/it]
 91%|█████████ | 2836/3125 [1:13:32<12:12,  2.54s/it]
 91%|█████████ | 2837/3125 [1:13:34<11:43,  2.44s/it]
 91%|█████████ | 2838/3125 [1:13:36<11:34,  2.42s/it]
 91%|█████████ | 2839/3125 [1:13:39<11:58,  2.51s/it]
 91%|█████████ | 2840/3125 [1:13:41<11:37,  2.45s/it]
                                                     
{'loss': '1.005', 'grad_norm': '6.94', 'learning_rate': '1e-05', 'train/loss_infonce': '0.00885', 'train/loss_cot': '0.9352', 'epoch': '4.544'}

 91%|█████████ | 2840/3125 [1:13:42<11:37,  2.45s/it]
 91%|█████████ | 2841/3125 [1:13:44<11:33,  2.44s/it]
 91%|█████████ | 2842/3125 [1:13:46<11:53,  2.52s/it]
 91%|█████████ | 2843/3125 [1:13:49<11:40,  2.48s/it]
 91%|█████████ | 2844/3125 [1:13:52<12:09,  2.60s/it]
 91%|█████████ | 2845/3125 [1:13:54<11:58,  2.56s/it]
 91%|█████████ | 2846/3125 [1:13:56<11:30,  2.48s/it]
 91%|█████████ | 2847/3125 [1:13:58<10:57,  2.36s/it]
 91%|█████████ | 2848/3125 [1:14:01<10:32,  2.28s/it]
 91%|█████████ | 2849/3125 [1:14:03<10:58,  2.39s/it]
 91%|█████████ | 2850/3125 [1:14:06<10:50,  2.37s/it]
                                                     
{'loss': '0.9445', 'grad_norm': '6.037', 'learning_rate': '1e-05', 'train/loss_infonce': '0.04126', 'train/loss_cot': '0.8093', 'epoch': '4.56'}

 91%|█████████ | 2850/3125 [1:14:06<10:50,  2.37s/it]
 91%|█████████ | 2851/3125 [1:14:08<10:53,  2.38s/it]
 91%|█████████▏| 2852/3125 [1:14:10<10:32,  2.32s/it]
 91%|█████████▏| 2853/3125 [1:14:12<10:21,  2.29s/it]
 91%|█████████▏| 2854/3125 [1:14:15<10:21,  2.29s/it]
 91%|█████████▏| 2855/3125 [1:14:17<10:21,  2.30s/it]
 91%|█████████▏| 2856/3125 [1:14:20<10:59,  2.45s/it]
 91%|█████████▏| 2857/3125 [1:14:22<10:39,  2.39s/it]
 91%|█████████▏| 2858/3125 [1:14:24<10:16,  2.31s/it]
 91%|█████████▏| 2859/3125 [1:14:26<10:07,  2.29s/it]
 92%|█████████▏| 2860/3125 [1:14:29<09:58,  2.26s/it]
                                                     
{'loss': '0.9287', 'grad_norm': '5.349', 'learning_rate': '1e-05', 'train/loss_infonce': '0.001854', 'train/loss_cot': '0.6859', 'epoch': '4.576'}

 92%|█████████▏| 2860/3125 [1:14:29<09:58,  2.26s/it]
 92%|█████████▏| 2861/3125 [1:14:31<10:05,  2.29s/it]
 92%|█████████▏| 2862/3125 [1:14:33<10:15,  2.34s/it]
 92%|█████████▏| 2863/3125 [1:14:36<10:49,  2.48s/it]
 92%|█████████▏| 2864/3125 [1:14:38<10:25,  2.40s/it]
 92%|█████████▏| 2865/3125 [1:14:41<10:41,  2.47s/it]
 92%|█████████▏| 2866/3125 [1:14:43<10:04,  2.33s/it]
 92%|█████████▏| 2867/3125 [1:14:46<10:38,  2.48s/it]
 92%|█████████▏| 2868/3125 [1:14:48<10:21,  2.42s/it]
 92%|█████████▏| 2869/3125 [1:14:51<10:18,  2.42s/it]
 92%|█████████▏| 2870/3125 [1:14:53<10:08,  2.39s/it]
                                                     
{'loss': '0.9676', 'grad_norm': '7.139', 'learning_rate': '1e-05', 'train/loss_infonce': '0.007385', 'train/loss_cot': '1.016', 'epoch': '4.592'}

 92%|█████████▏| 2870/3125 [1:14:53<10:08,  2.39s/it]
 92%|█████████▏| 2871/3125 [1:14:56<10:35,  2.50s/it]
 92%|█████████▏| 2872/3125 [1:14:58<10:27,  2.48s/it]
 92%|█████████▏| 2873/3125 [1:15:00<09:57,  2.37s/it]
 92%|█████████▏| 2874/3125 [1:15:02<09:34,  2.29s/it]
 92%|█████████▏| 2875/3125 [1:15:05<09:40,  2.32s/it]
 92%|█████████▏| 2876/3125 [1:15:07<09:40,  2.33s/it]
 92%|█████████▏| 2877/3125 [1:15:10<09:58,  2.41s/it]
 92%|█████████▏| 2878/3125 [1:15:12<09:39,  2.35s/it]
 92%|█████████▏| 2879/3125 [1:15:14<09:54,  2.42s/it]
 92%|█████████▏| 2880/3125 [1:15:17<09:44,  2.39s/it]
                                                     
{'loss': '0.9598', 'grad_norm': '6.255', 'learning_rate': '1e-05', 'train/loss_infonce': '0.005249', 'train/loss_cot': '0.9711', 'epoch': '4.608'}

 92%|█████████▏| 2880/3125 [1:15:17<09:44,  2.39s/it]
 92%|█████████▏| 2881/3125 [1:15:19<09:44,  2.39s/it]
 92%|█████████▏| 2882/3125 [1:15:21<09:24,  2.32s/it]
 92%|█████████▏| 2883/3125 [1:15:24<09:27,  2.34s/it]
 92%|█████████▏| 2884/3125 [1:15:26<09:13,  2.29s/it]
 92%|█████████▏| 2885/3125 [1:15:28<09:02,  2.26s/it]
 92%|█████████▏| 2886/3125 [1:15:30<09:09,  2.30s/it]
 92%|█████████▏| 2887/3125 [1:15:33<08:53,  2.24s/it]
 92%|█████████▏| 2888/3125 [1:15:35<08:44,  2.21s/it]
 92%|█████████▏| 2889/3125 [1:15:37<08:42,  2.22s/it]
 92%|█████████▏| 2890/3125 [1:15:39<08:33,  2.18s/it]
                                                     
{'loss': '0.9255', 'grad_norm': '5.785', 'learning_rate': '1e-05', 'train/loss_infonce': '0.003677', 'train/loss_cot': '1.039', 'epoch': '4.624'}

 92%|█████████▏| 2890/3125 [1:15:39<08:33,  2.18s/it]
 93%|█████████▎| 2891/3125 [1:15:41<08:51,  2.27s/it]
 93%|█████████▎| 2892/3125 [1:15:45<10:31,  2.71s/it]
 93%|█████████▎| 2893/3125 [1:15:48<10:12,  2.64s/it]
 93%|█████████▎| 2894/3125 [1:15:50<10:18,  2.68s/it]
 93%|█████████▎| 2895/3125 [1:15:52<09:31,  2.49s/it]
 93%|█████████▎| 2896/3125 [1:15:55<09:11,  2.41s/it]
 93%|█████████▎| 2897/3125 [1:15:57<08:57,  2.36s/it]
 93%|█████████▎| 2898/3125 [1:16:00<09:12,  2.43s/it]
 93%|█████████▎| 2899/3125 [1:16:02<08:50,  2.35s/it]
 93%|█████████▎| 2900/3125 [1:16:04<08:38,  2.30s/it]
                                                     
{'loss': '0.9203', 'grad_norm': '6.336', 'learning_rate': '1e-05', 'train/loss_infonce': '0.07861', 'train/loss_cot': '0.7803', 'epoch': '4.64'}

 93%|█████████▎| 2900/3125 [1:16:04<08:38,  2.30s/it]
 93%|█████████▎| 2901/3125 [1:16:06<08:42,  2.33s/it]
 93%|█████████▎| 2902/3125 [1:16:09<09:25,  2.54s/it]
 93%|█████████▎| 2903/3125 [1:16:12<09:09,  2.47s/it]
 93%|█████████▎| 2904/3125 [1:16:14<09:22,  2.55s/it]
 93%|█████████▎| 2905/3125 [1:16:17<09:20,  2.55s/it]
 93%|█████████▎| 2906/3125 [1:16:19<08:52,  2.43s/it]
 93%|█████████▎| 2907/3125 [1:16:22<08:59,  2.47s/it]
 93%|█████████▎| 2908/3125 [1:16:24<09:16,  2.56s/it]
 93%|█████████▎| 2909/3125 [1:16:27<09:10,  2.55s/it]
 93%|█████████▎| 2910/3125 [1:16:30<09:20,  2.61s/it]
                                                     
{'loss': '0.9599', 'grad_norm': '8.555', 'learning_rate': '1e-05', 'train/loss_infonce': '0.1719', 'train/loss_cot': '0.9003', 'epoch': '4.656'}

 93%|█████████▎| 2910/3125 [1:16:30<09:20,  2.61s/it]
 93%|█████████▎| 2911/3125 [1:16:32<09:09,  2.57s/it]
 93%|█████████▎| 2912/3125 [1:16:34<08:42,  2.45s/it]
 93%|█████████▎| 2913/3125 [1:16:38<09:29,  2.69s/it]
 93%|█████████▎| 2914/3125 [1:16:40<08:52,  2.52s/it]
 93%|█████████▎| 2915/3125 [1:16:42<08:54,  2.55s/it]
 93%|█████████▎| 2916/3125 [1:16:45<08:38,  2.48s/it]
 93%|█████████▎| 2917/3125 [1:16:47<08:17,  2.39s/it]
 93%|█████████▎| 2918/3125 [1:16:49<07:56,  2.30s/it]
 93%|█████████▎| 2919/3125 [1:16:51<07:56,  2.31s/it]
 93%|█████████▎| 2920/3125 [1:16:53<07:47,  2.28s/it]
                                                     
{'loss': '0.9655', 'grad_norm': '6.331', 'learning_rate': '1e-05', 'train/loss_infonce': '0.05298', 'train/loss_cot': '0.9183', 'epoch': '4.672'}

 93%|█████████▎| 2920/3125 [1:16:54<07:47,  2.28s/it]
 93%|█████████▎| 2921/3125 [1:16:56<07:40,  2.26s/it]
 94%|█████████▎| 2922/3125 [1:16:58<07:37,  2.25s/it]
 94%|█████████▎| 2923/3125 [1:17:00<07:31,  2.24s/it]
 94%|█████████▎| 2924/3125 [1:17:03<07:47,  2.32s/it]
 94%|█████████▎| 2925/3125 [1:17:05<07:40,  2.30s/it]
 94%|█████████▎| 2926/3125 [1:17:07<07:56,  2.39s/it]
 94%|█████████▎| 2927/3125 [1:17:10<07:50,  2.38s/it]
 94%|█████████▎| 2928/3125 [1:17:12<07:46,  2.37s/it]
 94%|█████████▎| 2929/3125 [1:17:14<07:34,  2.32s/it]
 94%|█████████▍| 2930/3125 [1:17:16<07:16,  2.24s/it]
                                                     
{'loss': '0.9392', 'grad_norm': '5.799', 'learning_rate': '1e-05', 'train/loss_infonce': '0.00161', 'train/loss_cot': '0.9555', 'epoch': '4.688'}

 94%|█████████▍| 2930/3125 [1:17:17<07:16,  2.24s/it]
 94%|█████████▍| 2931/3125 [1:17:19<07:28,  2.31s/it]
 94%|█████████▍| 2932/3125 [1:17:22<07:58,  2.48s/it]
 94%|█████████▍| 2933/3125 [1:17:24<07:46,  2.43s/it]
 94%|█████████▍| 2934/3125 [1:17:26<07:34,  2.38s/it]
 94%|█████████▍| 2935/3125 [1:17:29<07:46,  2.46s/it]
 94%|█████████▍| 2936/3125 [1:17:31<07:32,  2.39s/it]
 94%|█████████▍| 2937/3125 [1:17:34<07:25,  2.37s/it]
 94%|█████████▍| 2938/3125 [1:17:36<07:12,  2.31s/it]
 94%|█████████▍| 2939/3125 [1:17:38<07:19,  2.36s/it]
 94%|█████████▍| 2940/3125 [1:17:40<07:08,  2.32s/it]
                                                     
{'loss': '0.969', 'grad_norm': '5.304', 'learning_rate': '1e-05', 'train/loss_infonce': '0.03784', 'train/loss_cot': '0.9394', 'epoch': '4.704'}

 94%|█████████▍| 2940/3125 [1:17:41<07:08,  2.32s/it]
 94%|█████████▍| 2941/3125 [1:17:43<07:18,  2.38s/it]
 94%|█████████▍| 2942/3125 [1:17:45<07:14,  2.37s/it]
 94%|█████████▍| 2943/3125 [1:17:47<06:55,  2.28s/it]
 94%|█████████▍| 2944/3125 [1:17:50<06:55,  2.29s/it]
 94%|█████████▍| 2945/3125 [1:17:52<06:44,  2.25s/it]
 94%|█████████▍| 2946/3125 [1:17:55<07:12,  2.41s/it]
 94%|█████████▍| 2947/3125 [1:17:57<07:23,  2.49s/it]
 94%|█████████▍| 2948/3125 [1:18:00<07:06,  2.41s/it]
 94%|█████████▍| 2949/3125 [1:18:02<06:59,  2.38s/it]
 94%|█████████▍| 2950/3125 [1:18:04<06:45,  2.32s/it]
                                                     
{'loss': '0.9626', 'grad_norm': '5.614', 'learning_rate': '1e-05', 'train/loss_infonce': '0.02991', 'train/loss_cot': '0.9825', 'epoch': '4.72'}

 94%|█████████▍| 2950/3125 [1:18:04<06:45,  2.32s/it]
 94%|█████████▍| 2951/3125 [1:18:06<06:40,  2.30s/it]
 94%|█████████▍| 2952/3125 [1:18:09<06:42,  2.33s/it]
 94%|█████████▍| 2953/3125 [1:18:11<06:40,  2.33s/it]
 95%|█████████▍| 2954/3125 [1:18:13<06:34,  2.31s/it]
 95%|█████████▍| 2955/3125 [1:18:17<07:28,  2.64s/it]
 95%|█████████▍| 2956/3125 [1:18:19<07:04,  2.51s/it]
 95%|█████████▍| 2957/3125 [1:18:21<06:37,  2.37s/it]
 95%|█████████▍| 2958/3125 [1:18:23<06:33,  2.35s/it]
 95%|█████████▍| 2959/3125 [1:18:26<06:34,  2.38s/it]
 95%|█████████▍| 2960/3125 [1:18:28<06:28,  2.36s/it]
                                                     
{'loss': '0.9712', 'grad_norm': '6.522', 'learning_rate': '1e-05', 'train/loss_infonce': '0.02722', 'train/loss_cot': '1.158', 'epoch': '4.736'}

 95%|█████████▍| 2960/3125 [1:18:28<06:28,  2.36s/it]
 95%|█████████▍| 2961/3125 [1:18:30<06:23,  2.34s/it]
 95%|█████████▍| 2962/3125 [1:18:33<06:21,  2.34s/it]
 95%|█████████▍| 2963/3125 [1:18:35<06:21,  2.36s/it]
 95%|█████████▍| 2964/3125 [1:18:37<06:06,  2.28s/it]
 95%|█████████▍| 2965/3125 [1:18:39<06:02,  2.27s/it]
 95%|█████████▍| 2966/3125 [1:18:42<06:03,  2.29s/it]
 95%|█████████▍| 2967/3125 [1:18:44<05:53,  2.24s/it]
 95%|█████████▍| 2968/3125 [1:18:46<05:56,  2.27s/it]
 95%|█████████▌| 2969/3125 [1:18:49<06:07,  2.35s/it]
 95%|█████████▌| 2970/3125 [1:18:51<06:14,  2.42s/it]
                                                     
{'loss': '0.9951', 'grad_norm': '6.371', 'learning_rate': '1e-05', 'train/loss_infonce': '0.03223', 'train/loss_cot': '1.097', 'epoch': '4.752'}

 95%|█████████▌| 2970/3125 [1:18:52<06:14,  2.42s/it]
 95%|█████████▌| 2971/3125 [1:18:54<06:30,  2.53s/it]
 95%|█████████▌| 2972/3125 [1:18:56<06:04,  2.38s/it]
 95%|█████████▌| 2973/3125 [1:18:58<05:54,  2.33s/it]
 95%|█████████▌| 2974/3125 [1:19:00<05:45,  2.29s/it]
 95%|█████████▌| 2975/3125 [1:19:05<07:16,  2.91s/it]
 95%|█████████▌| 2976/3125 [1:19:07<06:53,  2.77s/it]
 95%|█████████▌| 2977/3125 [1:19:10<06:41,  2.71s/it]
 95%|█████████▌| 2978/3125 [1:19:12<06:19,  2.58s/it]
 95%|█████████▌| 2979/3125 [1:19:15<06:34,  2.70s/it]
 95%|█████████▌| 2980/3125 [1:19:18<06:17,  2.60s/it]
                                                     
{'loss': '0.9387', 'grad_norm': '6.206', 'learning_rate': '1e-05', 'train/loss_infonce': '0.02136', 'train/loss_cot': '0.9229', 'epoch': '4.768'}

 95%|█████████▌| 2980/3125 [1:19:18<06:17,  2.60s/it]
 95%|█████████▌| 2981/3125 [1:19:20<06:01,  2.51s/it]
 95%|█████████▌| 2982/3125 [1:19:22<06:03,  2.54s/it]
 95%|█████████▌| 2983/3125 [1:19:24<05:38,  2.38s/it]
 95%|█████████▌| 2984/3125 [1:19:27<05:28,  2.33s/it]
 96%|█████████▌| 2985/3125 [1:19:29<05:20,  2.29s/it]
 96%|█████████▌| 2986/3125 [1:19:32<05:41,  2.46s/it]
 96%|█████████▌| 2987/3125 [1:19:34<05:38,  2.45s/it]
 96%|█████████▌| 2988/3125 [1:19:37<05:46,  2.53s/it]
 96%|█████████▌| 2989/3125 [1:19:39<05:32,  2.44s/it]
 96%|█████████▌| 2990/3125 [1:19:41<05:26,  2.42s/it]
                                                     
{'loss': '0.9917', 'grad_norm': '5.709', 'learning_rate': '1e-05', 'train/loss_infonce': '0.04004', 'train/loss_cot': '0.9159', 'epoch': '4.784'}

 96%|█████████▌| 2990/3125 [1:19:42<05:26,  2.42s/it]
 96%|█████████▌| 2991/3125 [1:19:44<05:38,  2.53s/it]
 96%|█████████▌| 2992/3125 [1:19:47<05:35,  2.52s/it]
 96%|█████████▌| 2993/3125 [1:19:49<05:20,  2.43s/it]
 96%|█████████▌| 2994/3125 [1:19:51<05:16,  2.41s/it]
 96%|█████████▌| 2995/3125 [1:19:54<05:09,  2.38s/it]
 96%|█████████▌| 2996/3125 [1:19:56<05:00,  2.33s/it]
 96%|█████████▌| 2997/3125 [1:19:58<05:02,  2.36s/it]
 96%|█████████▌| 2998/3125 [1:20:01<05:01,  2.37s/it]
 96%|█████████▌| 2999/3125 [1:20:04<05:16,  2.52s/it]
 96%|█████████▌| 3000/3125 [1:20:06<05:08,  2.47s/it]
                                                     
{'loss': '0.9784', 'grad_norm': '6.128', 'learning_rate': '1e-05', 'train/loss_infonce': '0.007294', 'train/loss_cot': '0.816', 'epoch': '4.8'}

 96%|█████████▌| 3000/3125 [1:20:06<05:08,  2.47s/it]
 96%|█████████▌| 3001/3125 [1:20:24<15:01,  7.27s/it]
 96%|█████████▌| 3002/3125 [1:20:27<11:54,  5.81s/it]
 96%|█████████▌| 3003/3125 [1:20:29<09:36,  4.73s/it]
 96%|█████████▌| 3004/3125 [1:20:31<08:07,  4.03s/it]
 96%|█████████▌| 3005/3125 [1:20:34<06:57,  3.48s/it]
 96%|█████████▌| 3006/3125 [1:20:36<05:59,  3.02s/it]
 96%|█████████▌| 3007/3125 [1:20:38<05:34,  2.84s/it]
 96%|█████████▋| 3008/3125 [1:20:41<05:34,  2.86s/it]
 96%|█████████▋| 3009/3125 [1:20:43<05:17,  2.74s/it]
 96%|█████████▋| 3010/3125 [1:20:46<05:08,  2.68s/it]
                                                     
{'loss': '0.9654', 'grad_norm': '5.905', 'learning_rate': '1e-05', 'train/loss_infonce': '0.006042', 'train/loss_cot': '1.039', 'epoch': '4.816'}

 96%|█████████▋| 3010/3125 [1:20:46<05:08,  2.68s/it]
 96%|█████████▋| 3011/3125 [1:20:49<05:05,  2.68s/it]
 96%|█████████▋| 3012/3125 [1:20:51<04:50,  2.57s/it]
 96%|█████████▋| 3013/3125 [1:20:53<04:44,  2.54s/it]
 96%|█████████▋| 3014/3125 [1:20:56<04:50,  2.61s/it]
 96%|█████████▋| 3015/3125 [1:20:58<04:34,  2.50s/it]
 97%|█████████▋| 3016/3125 [1:21:01<04:25,  2.44s/it]
 97%|█████████▋| 3017/3125 [1:21:03<04:23,  2.44s/it]
 97%|█████████▋| 3018/3125 [1:21:05<04:08,  2.32s/it]
 97%|█████████▋| 3019/3125 [1:21:08<04:19,  2.45s/it]
 97%|█████████▋| 3020/3125 [1:21:10<04:12,  2.40s/it]
                                                     
{'loss': '1.006', 'grad_norm': '5.958', 'learning_rate': '1e-05', 'train/loss_infonce': '0.006287', 'train/loss_cot': '0.9902', 'epoch': '4.832'}

 97%|█████████▋| 3020/3125 [1:21:10<04:12,  2.40s/it]
 97%|█████████▋| 3021/3125 [1:21:13<04:34,  2.64s/it]
 97%|█████████▋| 3022/3125 [1:21:15<04:13,  2.46s/it]
 97%|█████████▋| 3023/3125 [1:21:18<04:04,  2.40s/it]
 97%|█████████▋| 3024/3125 [1:21:20<04:04,  2.42s/it]
 97%|█████████▋| 3025/3125 [1:21:23<04:12,  2.52s/it]
 97%|█████████▋| 3026/3125 [1:21:25<03:58,  2.41s/it]
 97%|█████████▋| 3027/3125 [1:21:27<03:49,  2.34s/it]
 97%|█████████▋| 3028/3125 [1:21:30<03:53,  2.41s/it]
 97%|█████████▋| 3029/3125 [1:21:32<03:43,  2.33s/it]
 97%|█████████▋| 3030/3125 [1:21:34<03:43,  2.35s/it]
                                                     
{'loss': '0.9478', 'grad_norm': '5.495', 'learning_rate': '1e-05', 'train/loss_infonce': '0.00325', 'train/loss_cot': '0.9661', 'epoch': '4.848'}

 97%|█████████▋| 3030/3125 [1:21:35<03:43,  2.35s/it]
 97%|█████████▋| 3031/3125 [1:21:37<03:40,  2.34s/it]
 97%|█████████▋| 3032/3125 [1:21:39<03:42,  2.39s/it]
 97%|█████████▋| 3033/3125 [1:21:42<03:42,  2.42s/it]
 97%|█████████▋| 3034/3125 [1:21:44<03:47,  2.50s/it]
 97%|█████████▋| 3035/3125 [1:21:47<03:45,  2.50s/it]
 97%|█████████▋| 3036/3125 [1:21:50<03:55,  2.65s/it]
 97%|█████████▋| 3037/3125 [1:21:52<03:44,  2.55s/it]
 97%|█████████▋| 3038/3125 [1:21:54<03:34,  2.47s/it]
 97%|█████████▋| 3039/3125 [1:21:57<03:32,  2.47s/it]
 97%|█████████▋| 3040/3125 [1:21:59<03:23,  2.40s/it]
                                                     
{'loss': '0.9572', 'grad_norm': '5.489', 'learning_rate': '1e-05', 'train/loss_infonce': '0.002045', 'train/loss_cot': '0.9033', 'epoch': '4.864'}

 97%|█████████▋| 3040/3125 [1:21:59<03:23,  2.40s/it]
 97%|█████████▋| 3041/3125 [1:22:01<03:20,  2.39s/it]
 97%|█████████▋| 3042/3125 [1:22:04<03:17,  2.37s/it]
 97%|█████████▋| 3043/3125 [1:22:06<03:08,  2.29s/it]
 97%|█████████▋| 3044/3125 [1:22:08<03:05,  2.29s/it]
 97%|█████████▋| 3045/3125 [1:22:11<03:05,  2.32s/it]
 97%|█████████▋| 3046/3125 [1:22:13<03:01,  2.30s/it]
 98%|█████████▊| 3047/3125 [1:22:16<03:10,  2.45s/it]
 98%|█████████▊| 3048/3125 [1:22:18<03:08,  2.45s/it]
 98%|█████████▊| 3049/3125 [1:22:20<03:05,  2.44s/it]
 98%|█████████▊| 3050/3125 [1:22:23<03:02,  2.44s/it]
                                                     
{'loss': '1.014', 'grad_norm': '7.566', 'learning_rate': '1e-05', 'train/loss_infonce': '0.0108', 'train/loss_cot': '1.04', 'epoch': '4.88'}

 98%|█████████▊| 3050/3125 [1:22:23<03:02,  2.44s/it]
 98%|█████████▊| 3051/3125 [1:22:27<03:28,  2.81s/it]
 98%|█████████▊| 3052/3125 [1:22:29<03:15,  2.68s/it]
 98%|█████████▊| 3053/3125 [1:22:32<03:25,  2.86s/it]
 98%|█████████▊| 3054/3125 [1:22:34<03:07,  2.64s/it]
 98%|█████████▊| 3055/3125 [1:22:37<02:56,  2.53s/it]
 98%|█████████▊| 3056/3125 [1:22:39<02:43,  2.37s/it]
 98%|█████████▊| 3057/3125 [1:22:41<02:40,  2.36s/it]
 98%|█████████▊| 3058/3125 [1:22:43<02:31,  2.26s/it]
 98%|█████████▊| 3059/3125 [1:22:46<02:40,  2.43s/it]
 98%|█████████▊| 3060/3125 [1:22:48<02:35,  2.40s/it]
                                                     
{'loss': '0.9426', 'grad_norm': '5.976', 'learning_rate': '1e-05', 'train/loss_infonce': '0.005646', 'train/loss_cot': '1.075', 'epoch': '4.896'}

 98%|█████████▊| 3060/3125 [1:22:49<02:35,  2.40s/it]
 98%|█████████▊| 3061/3125 [1:22:51<02:36,  2.45s/it]
 98%|█████████▊| 3062/3125 [1:22:53<02:33,  2.43s/it]
 98%|█████████▊| 3063/3125 [1:22:55<02:26,  2.37s/it]
 98%|█████████▊| 3064/3125 [1:22:58<02:26,  2.40s/it]
 98%|█████████▊| 3065/3125 [1:23:00<02:22,  2.37s/it]
 98%|█████████▊| 3066/3125 [1:23:02<02:16,  2.31s/it]
 98%|█████████▊| 3067/3125 [1:23:05<02:19,  2.40s/it]
 98%|█████████▊| 3068/3125 [1:23:07<02:16,  2.39s/it]
 98%|█████████▊| 3069/3125 [1:23:10<02:15,  2.42s/it]
 98%|█████████▊| 3070/3125 [1:23:12<02:15,  2.46s/it]
                                                     
{'loss': '0.9363', 'grad_norm': '5.658', 'learning_rate': '1e-05', 'train/loss_infonce': '0.02258', 'train/loss_cot': '1.09', 'epoch': '4.912'}

 98%|█████████▊| 3070/3125 [1:23:13<02:15,  2.46s/it]
 98%|█████████▊| 3071/3125 [1:23:15<02:10,  2.42s/it]
 98%|█████████▊| 3072/3125 [1:23:17<02:06,  2.38s/it]
 98%|█████████▊| 3073/3125 [1:23:19<01:59,  2.31s/it]
 98%|█████████▊| 3074/3125 [1:23:21<01:58,  2.32s/it]
 98%|█████████▊| 3075/3125 [1:23:24<01:56,  2.34s/it]
 98%|█████████▊| 3076/3125 [1:23:26<01:56,  2.37s/it]
 98%|█████████▊| 3077/3125 [1:23:29<01:54,  2.39s/it]
 98%|█████████▊| 3078/3125 [1:23:31<01:50,  2.35s/it]
 99%|█████████▊| 3079/3125 [1:23:33<01:46,  2.33s/it]
 99%|█████████▊| 3080/3125 [1:23:36<01:46,  2.36s/it]
                                                     
{'loss': '1.002', 'grad_norm': '5.522', 'learning_rate': '1e-05', 'train/loss_infonce': '0.08203', 'train/loss_cot': '0.7513', 'epoch': '4.928'}

 99%|█████████▊| 3080/3125 [1:23:36<01:46,  2.36s/it]
 99%|█████████▊| 3081/3125 [1:23:38<01:46,  2.42s/it]
 99%|█████████▊| 3082/3125 [1:23:41<01:43,  2.42s/it]
 99%|█████████▊| 3083/3125 [1:23:43<01:39,  2.37s/it]
 99%|█████████▊| 3084/3125 [1:23:45<01:33,  2.29s/it]
 99%|█████████▊| 3085/3125 [1:23:47<01:33,  2.33s/it]
 99%|█████████▉| 3086/3125 [1:23:50<01:31,  2.35s/it]
 99%|█████████▉| 3087/3125 [1:23:52<01:26,  2.28s/it]
 99%|█████████▉| 3088/3125 [1:23:55<01:34,  2.56s/it]
 99%|█████████▉| 3089/3125 [1:23:58<01:34,  2.62s/it]
 99%|█████████▉| 3090/3125 [1:24:00<01:26,  2.48s/it]
                                                     
{'loss': '0.9326', 'grad_norm': '5.445', 'learning_rate': '1e-05', 'train/loss_infonce': '0.006226', 'train/loss_cot': '1.042', 'epoch': '4.944'}

 99%|█████████▉| 3090/3125 [1:24:00<01:26,  2.48s/it]
 99%|█████████▉| 3091/3125 [1:24:02<01:23,  2.47s/it]
 99%|█████████▉| 3092/3125 [1:24:05<01:20,  2.44s/it]
 99%|█████████▉| 3093/3125 [1:24:07<01:17,  2.42s/it]
 99%|█████████▉| 3094/3125 [1:24:10<01:17,  2.51s/it]
 99%|█████████▉| 3095/3125 [1:24:13<01:16,  2.54s/it]
 99%|█████████▉| 3096/3125 [1:24:15<01:12,  2.49s/it]
 99%|█████████▉| 3097/3125 [1:24:17<01:06,  2.38s/it]
 99%|█████████▉| 3098/3125 [1:24:20<01:06,  2.47s/it]
 99%|█████████▉| 3099/3125 [1:24:22<01:04,  2.47s/it]
 99%|█████████▉| 3100/3125 [1:24:25<01:00,  2.44s/it]
                                                     
{'loss': '0.9142', 'grad_norm': '5.25', 'learning_rate': '1e-05', 'train/loss_infonce': '0.005615', 'train/loss_cot': '1.028', 'epoch': '4.96'}

 99%|█████████▉| 3100/3125 [1:24:25<01:00,  2.44s/it]
 99%|█████████▉| 3101/3125 [1:24:27<01:01,  2.55s/it]
 99%|█████████▉| 3102/3125 [1:24:30<01:01,  2.66s/it]
 99%|█████████▉| 3103/3125 [1:24:33<00:56,  2.59s/it]
 99%|█████████▉| 3104/3125 [1:24:35<00:52,  2.51s/it]
 99%|█████████▉| 3105/3125 [1:24:38<00:54,  2.74s/it]
 99%|█████████▉| 3106/3125 [1:24:41<00:49,  2.60s/it]
 99%|█████████▉| 3107/3125 [1:24:43<00:44,  2.48s/it]
 99%|█████████▉| 3108/3125 [1:24:45<00:41,  2.46s/it]
 99%|█████████▉| 3109/3125 [1:24:47<00:37,  2.36s/it]
100%|█████████▉| 3110/3125 [1:24:49<00:33,  2.24s/it]
                                                     
{'loss': '0.9832', 'grad_norm': '6.69', 'learning_rate': '1e-05', 'train/loss_infonce': '0.04028', 'train/loss_cot': '0.9677', 'epoch': '4.976'}

100%|█████████▉| 3110/3125 [1:24:50<00:33,  2.24s/it]
100%|█████████▉| 3111/3125 [1:24:52<00:32,  2.31s/it]
100%|█████████▉| 3112/3125 [1:24:54<00:29,  2.27s/it]
100%|█████████▉| 3113/3125 [1:24:56<00:27,  2.27s/it]
100%|█████████▉| 3114/3125 [1:24:59<00:25,  2.31s/it]
100%|█████████▉| 3115/3125 [1:25:01<00:22,  2.27s/it]
100%|█████████▉| 3116/3125 [1:25:03<00:20,  2.24s/it]
100%|█████████▉| 3117/3125 [1:25:05<00:17,  2.25s/it]
100%|█████████▉| 3118/3125 [1:25:07<00:15,  2.21s/it]
100%|█████████▉| 3119/3125 [1:25:09<00:12,  2.14s/it]
100%|█████████▉| 3120/3125 [1:25:13<00:12,  2.58s/it]
                                                     
{'loss': '0.9366', 'grad_norm': '5.909', 'learning_rate': '1e-05', 'train/loss_infonce': '0.03296', 'train/loss_cot': '0.9476', 'epoch': '4.992'}

100%|█████████▉| 3120/3125 [1:25:13<00:12,  2.58s/it]
100%|█████████▉| 3121/3125 [1:25:16<00:10,  2.73s/it]
100%|█████████▉| 3122/3125 [1:25:19<00:08,  2.88s/it]
100%|█████████▉| 3123/3125 [1:25:21<00:05,  2.68s/it]
100%|█████████▉| 3124/3125 [1:25:24<00:02,  2.56s/it]
100%|██████████| 3125/3125 [1:25:25<00:00,  2.05s/it]
                                                     
{'train_runtime': '5148', 'train_samples_per_second': '9.712', 'train_steps_per_second': '0.607', 'train_loss': '0.664', 'train/loss_infonce': '0.04126', 'train/loss_cot': '0.7905', 'epoch': '5'}

100%|██████████| 3125/3125 [1:25:48<00:00,  2.05s/it]
100%|██████████| 3125/3125 [1:25:48<00:00,  1.65s/it]
notebook-622b7fa0e0f7-worker-0:259325:259325 [1]  NCCL INFO ENV/Plugin: Closing env plugin ncclEnvDefault
notebook-622b7fa0e0f7-worker-0:259326:259326 [2]  NCCL INFO ENV/Plugin: Closing env plugin ncclEnvDefault
notebook-622b7fa0e0f7-worker-0:259327:259824 [3]  NCCL INFO [Service thread] Connection closed by localRank 1
notebook-622b7fa0e0f7-worker-0:259324:259826 [0]  NCCL INFO [Service thread] Connection closed by localRank 1
notebook-622b7fa0e0f7-worker-0:259327:261485 [3]  NCCL INFO [Service thread] Connection closed by localRank 1
notebook-622b7fa0e0f7-worker-0:259324:261486 [0]  NCCL INFO [Service thread] Connection closed by localRank 1
notebook-622b7fa0e0f7-worker-0:259327:259327 [3]  NCCL INFO ENV/Plugin: Closing env plugin ncclEnvDefault
notebook-622b7fa0e0f7-worker-0:259327:259824 [3]  NCCL INFO [Service thread] Connection closed by localRank 2
notebook-622b7fa0e0f7-worker-0:259324:259826 [0]  NCCL INFO [Service thread] Connection closed by localRank 2
notebook-622b7fa0e0f7-worker-0:259327:261485 [3]  NCCL INFO [Service thread] Connection closed by localRank 2
notebook-622b7fa0e0f7-worker-0:259324:261486 [0]  NCCL INFO [Service thread] Connection closed by localRank 2
notebook-622b7fa0e0f7-worker-0:259324:259324 [0]  NCCL INFO ENV/Plugin: Closing env plugin ncclEnvDefault