File size: 51,610 Bytes
4624e5c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
1094
1095
1096
1097
1098
1099
1100
1101
1102
1103
1104
1105
1106
1107
1108
1109
1110
1111
1112
1113
1114
1115
1116
1117
1118
1119
1120
1121
1122
1123
1124
1125
1126
1127
1128
1129
1130
1131
1132
1133
1134
1135
1136
1137
1138
1139
1140
1141
1142
1143
1144
1145
1146
1147
1148
1149
1150
1151
1152
1153
1154
1155
1156
1157
1158
1159
1160
1161
1162
1163
1164
1165
1166
1167
1168
1169
1170
1171
1172
1173
1174
1175
1176
1177
1178
1179
1180
1181
1182
1183
1184
1185
1186
1187
1188
1189
1190
1191
1192
1193
1194
1195
1196
1197
1198
1199
1200
1201
1202
1203
1204
1205
1206
1207
1208
1209
1210
1211
1212
1213
1214
1215
1216
1217
1218
1219
1220
1221
1222
1223
1224
1225
1226
1227
1228
1229
1230
1231
1232
1233
1234
1235
1236
1237
1238
1239
1240
1241
1242
1243
1244
1245
1246
1247
1248
1249
1250
1251
1252
1253
1254
1255
1256
1257
1258
1259
1260
1261
1262
1263
1264
1265
1266
1267
1268
1269
1270
1271
1272
1273
1274
1275
1276
1277
1278
1279
1280
1281
1282
1283
1284
1285
1286
1287
1288
1289
1290
1291
1292
1293
1294
1295
1296
1297
1298
1299
1300
1301
1302
1303
1304
1305
1306
1307
1308
1309
1310
1311
1312
1313
1314
1315
1316
1317
1318
1319
1320
1321
1322
1323
1324
1325
1326
1327
1328
1329
1330
1331
1332
1333
1334
1335
1336
1337
1338
1339
1340
1341
1342
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 0.5019181585677749,
  "eval_steps": 157,
  "global_step": 785,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.010230179028132993,
      "grad_norm": 127.07197570800781,
      "learning_rate": 2.129925452609159e-07,
      "loss": 7.0465,
      "step": 16
    },
    {
      "epoch": 0.020460358056265986,
      "grad_norm": 193.34689331054688,
      "learning_rate": 5.537806176783813e-07,
      "loss": 9.0583,
      "step": 32
    },
    {
      "epoch": 0.030690537084398978,
      "grad_norm": 183.065185546875,
      "learning_rate": 8.732694355697552e-07,
      "loss": 8.6271,
      "step": 48
    },
    {
      "epoch": 0.04092071611253197,
      "grad_norm": 150.517333984375,
      "learning_rate": 1.2140575079872206e-06,
      "loss": 5.6026,
      "step": 64
    },
    {
      "epoch": 0.05115089514066496,
      "grad_norm": 78.38551330566406,
      "learning_rate": 1.5335463258785943e-06,
      "loss": 4.6908,
      "step": 80
    },
    {
      "epoch": 0.061381074168797956,
      "grad_norm": 106.0997314453125,
      "learning_rate": 1.8743343982960599e-06,
      "loss": 3.1954,
      "step": 96
    },
    {
      "epoch": 0.07161125319693094,
      "grad_norm": 47.50294876098633,
      "learning_rate": 2.215122470713525e-06,
      "loss": 2.1179,
      "step": 112
    },
    {
      "epoch": 0.08184143222506395,
      "grad_norm": 24.581972122192383,
      "learning_rate": 2.5559105431309904e-06,
      "loss": 1.2636,
      "step": 128
    },
    {
      "epoch": 0.09207161125319693,
      "grad_norm": 219.01101684570312,
      "learning_rate": 2.8966986155484563e-06,
      "loss": 0.8325,
      "step": 144
    },
    {
      "epoch": 0.100383631713555,
      "eval_Qnli-dev_cosine_accuracy": 0.65234375,
      "eval_Qnli-dev_cosine_accuracy_threshold": 0.8284608125686646,
      "eval_Qnli-dev_cosine_ap": 0.6663718886737695,
      "eval_Qnli-dev_cosine_f1": 0.6469673405909797,
      "eval_Qnli-dev_cosine_f1_threshold": 0.702437698841095,
      "eval_Qnli-dev_cosine_precision": 0.5110565110565111,
      "eval_Qnli-dev_cosine_recall": 0.8813559322033898,
      "eval_Qnli-dev_dot_accuracy": 0.654296875,
      "eval_Qnli-dev_dot_accuracy_threshold": 899.9195556640625,
      "eval_Qnli-dev_dot_ap": 0.6265727343636489,
      "eval_Qnli-dev_dot_f1": 0.6462480857580397,
      "eval_Qnli-dev_dot_f1_threshold": 708.03076171875,
      "eval_Qnli-dev_dot_precision": 0.5059952038369304,
      "eval_Qnli-dev_dot_recall": 0.8940677966101694,
      "eval_Qnli-dev_euclidean_accuracy": 0.654296875,
      "eval_Qnli-dev_euclidean_accuracy_threshold": 17.465450286865234,
      "eval_Qnli-dev_euclidean_ap": 0.6678841105609593,
      "eval_Qnli-dev_euclidean_f1": 0.6485568760611206,
      "eval_Qnli-dev_euclidean_f1_threshold": 22.50777244567871,
      "eval_Qnli-dev_euclidean_precision": 0.5410764872521246,
      "eval_Qnli-dev_euclidean_recall": 0.809322033898305,
      "eval_Qnli-dev_manhattan_accuracy": 0.654296875,
      "eval_Qnli-dev_manhattan_accuracy_threshold": 541.6007080078125,
      "eval_Qnli-dev_manhattan_ap": 0.6671352135215549,
      "eval_Qnli-dev_manhattan_f1": 0.6472602739726028,
      "eval_Qnli-dev_manhattan_f1_threshold": 693.766845703125,
      "eval_Qnli-dev_manhattan_precision": 0.5431034482758621,
      "eval_Qnli-dev_manhattan_recall": 0.8008474576271186,
      "eval_Qnli-dev_max_accuracy": 0.654296875,
      "eval_Qnli-dev_max_accuracy_threshold": 899.9195556640625,
      "eval_Qnli-dev_max_ap": 0.6678841105609593,
      "eval_Qnli-dev_max_f1": 0.6485568760611206,
      "eval_Qnli-dev_max_f1_threshold": 708.03076171875,
      "eval_Qnli-dev_max_precision": 0.5431034482758621,
      "eval_Qnli-dev_max_recall": 0.8940677966101694,
      "eval_allNLI-dev_cosine_accuracy": 0.69140625,
      "eval_allNLI-dev_cosine_accuracy_threshold": 0.8886671662330627,
      "eval_allNLI-dev_cosine_ap": 0.5184375875165067,
      "eval_allNLI-dev_cosine_f1": 0.5584415584415584,
      "eval_allNLI-dev_cosine_f1_threshold": 0.7475587725639343,
      "eval_allNLI-dev_cosine_precision": 0.4463667820069204,
      "eval_allNLI-dev_cosine_recall": 0.7456647398843931,
      "eval_allNLI-dev_dot_accuracy": 0.689453125,
      "eval_allNLI-dev_dot_accuracy_threshold": 935.1204223632812,
      "eval_allNLI-dev_dot_ap": 0.4904119502439996,
      "eval_allNLI-dev_dot_f1": 0.5509259259259259,
      "eval_allNLI-dev_dot_f1_threshold": 803.4815673828125,
      "eval_allNLI-dev_dot_precision": 0.4594594594594595,
      "eval_allNLI-dev_dot_recall": 0.6878612716763006,
      "eval_allNLI-dev_euclidean_accuracy": 0.6953125,
      "eval_allNLI-dev_euclidean_accuracy_threshold": 15.452061653137207,
      "eval_allNLI-dev_euclidean_ap": 0.5162188247814465,
      "eval_allNLI-dev_euclidean_f1": 0.5557986870897156,
      "eval_allNLI-dev_euclidean_f1_threshold": 22.695791244506836,
      "eval_allNLI-dev_euclidean_precision": 0.4471830985915493,
      "eval_allNLI-dev_euclidean_recall": 0.7341040462427746,
      "eval_allNLI-dev_manhattan_accuracy": 0.693359375,
      "eval_allNLI-dev_manhattan_accuracy_threshold": 484.3291015625,
      "eval_allNLI-dev_manhattan_ap": 0.5171097761848361,
      "eval_allNLI-dev_manhattan_f1": 0.5550660792951542,
      "eval_allNLI-dev_manhattan_f1_threshold": 707.2572631835938,
      "eval_allNLI-dev_manhattan_precision": 0.4483985765124555,
      "eval_allNLI-dev_manhattan_recall": 0.7283236994219653,
      "eval_allNLI-dev_max_accuracy": 0.6953125,
      "eval_allNLI-dev_max_accuracy_threshold": 935.1204223632812,
      "eval_allNLI-dev_max_ap": 0.5184375875165067,
      "eval_allNLI-dev_max_f1": 0.5584415584415584,
      "eval_allNLI-dev_max_f1_threshold": 803.4815673828125,
      "eval_allNLI-dev_max_precision": 0.4594594594594595,
      "eval_allNLI-dev_max_recall": 0.7456647398843931,
      "eval_sequential_score": 0.6678841105609593,
      "eval_sts-test_pearson_cosine": 0.8691399425075377,
      "eval_sts-test_pearson_dot": 0.84633945645717,
      "eval_sts-test_pearson_euclidean": 0.8863973274037125,
      "eval_sts-test_pearson_manhattan": 0.887205994467606,
      "eval_sts-test_pearson_max": 0.887205994467606,
      "eval_sts-test_spearman_cosine": 0.8753474716765325,
      "eval_sts-test_spearman_dot": 0.8345210301629428,
      "eval_sts-test_spearman_euclidean": 0.8755160049269324,
      "eval_sts-test_spearman_manhattan": 0.8763851191744148,
      "eval_sts-test_spearman_max": 0.8763851191744148,
      "eval_vitaminc-pairs_loss": 3.764756917953491,
      "eval_vitaminc-pairs_runtime": 4.7024,
      "eval_vitaminc-pairs_samples_per_second": 27.22,
      "eval_vitaminc-pairs_steps_per_second": 0.213,
      "step": 157
    },
    {
      "epoch": 0.100383631713555,
      "eval_negation-triplets_loss": 1.4374932050704956,
      "eval_negation-triplets_runtime": 3.2218,
      "eval_negation-triplets_samples_per_second": 39.73,
      "eval_negation-triplets_steps_per_second": 0.31,
      "step": 157
    },
    {
      "epoch": 0.100383631713555,
      "eval_scitail-pairs-pos_loss": 0.07158112525939941,
      "eval_scitail-pairs-pos_runtime": 2.7614,
      "eval_scitail-pairs-pos_samples_per_second": 46.353,
      "eval_scitail-pairs-pos_steps_per_second": 0.362,
      "step": 157
    },
    {
      "epoch": 0.100383631713555,
      "eval_scitail-pairs-qa_loss": 0.11121156811714172,
      "eval_scitail-pairs-qa_runtime": 2.2983,
      "eval_scitail-pairs-qa_samples_per_second": 55.694,
      "eval_scitail-pairs-qa_steps_per_second": 0.435,
      "step": 157
    },
    {
      "epoch": 0.100383631713555,
      "eval_xsum-pairs_loss": 0.28410428762435913,
      "eval_xsum-pairs_runtime": 3.1437,
      "eval_xsum-pairs_samples_per_second": 40.717,
      "eval_xsum-pairs_steps_per_second": 0.318,
      "step": 157
    },
    {
      "epoch": 0.100383631713555,
      "eval_sciq_pairs_loss": 0.15557295083999634,
      "eval_sciq_pairs_runtime": 4.4086,
      "eval_sciq_pairs_samples_per_second": 29.034,
      "eval_sciq_pairs_steps_per_second": 0.227,
      "step": 157
    },
    {
      "epoch": 0.100383631713555,
      "eval_qasc_pairs_loss": 0.9191333651542664,
      "eval_qasc_pairs_runtime": 2.1323,
      "eval_qasc_pairs_samples_per_second": 60.03,
      "eval_qasc_pairs_steps_per_second": 0.469,
      "step": 157
    },
    {
      "epoch": 0.100383631713555,
      "eval_openbookqa_pairs_loss": 0.8187942504882812,
      "eval_openbookqa_pairs_runtime": 2.2771,
      "eval_openbookqa_pairs_samples_per_second": 56.213,
      "eval_openbookqa_pairs_steps_per_second": 0.439,
      "step": 157
    },
    {
      "epoch": 0.100383631713555,
      "eval_msmarco_pairs_loss": 0.6015267372131348,
      "eval_msmarco_pairs_runtime": 2.2879,
      "eval_msmarco_pairs_samples_per_second": 55.946,
      "eval_msmarco_pairs_steps_per_second": 0.437,
      "step": 157
    },
    {
      "epoch": 0.100383631713555,
      "eval_nq_pairs_loss": 0.9822638630867004,
      "eval_nq_pairs_runtime": 3.3732,
      "eval_nq_pairs_samples_per_second": 37.946,
      "eval_nq_pairs_steps_per_second": 0.296,
      "step": 157
    },
    {
      "epoch": 0.100383631713555,
      "eval_trivia_pairs_loss": 0.3045535683631897,
      "eval_trivia_pairs_runtime": 3.3462,
      "eval_trivia_pairs_samples_per_second": 38.253,
      "eval_trivia_pairs_steps_per_second": 0.299,
      "step": 157
    },
    {
      "epoch": 0.100383631713555,
      "eval_gooaq_pairs_loss": 0.4534245729446411,
      "eval_gooaq_pairs_runtime": 2.1775,
      "eval_gooaq_pairs_samples_per_second": 58.783,
      "eval_gooaq_pairs_steps_per_second": 0.459,
      "step": 157
    },
    {
      "epoch": 0.100383631713555,
      "eval_paws-pos_loss": 0.03816518932580948,
      "eval_paws-pos_runtime": 2.3035,
      "eval_paws-pos_samples_per_second": 55.567,
      "eval_paws-pos_steps_per_second": 0.434,
      "step": 157
    },
    {
      "epoch": 0.100383631713555,
      "eval_global_dataset_loss": 0.4413764476776123,
      "eval_global_dataset_runtime": 8.8968,
      "eval_global_dataset_samples_per_second": 36.53,
      "eval_global_dataset_steps_per_second": 0.337,
      "step": 157
    },
    {
      "epoch": 0.10230179028132992,
      "grad_norm": 4.65382719039917,
      "learning_rate": 3.2374866879659217e-06,
      "loss": 0.5674,
      "step": 160
    },
    {
      "epoch": 0.11253196930946291,
      "grad_norm": 16.067514419555664,
      "learning_rate": 3.5782747603833866e-06,
      "loss": 0.6077,
      "step": 176
    },
    {
      "epoch": 0.12276214833759591,
      "grad_norm": 13.119791984558105,
      "learning_rate": 3.919062832800852e-06,
      "loss": 0.4102,
      "step": 192
    },
    {
      "epoch": 0.1329923273657289,
      "grad_norm": 27.51828384399414,
      "learning_rate": 4.259850905218318e-06,
      "loss": 0.4442,
      "step": 208
    },
    {
      "epoch": 0.1432225063938619,
      "grad_norm": 76.78152465820312,
      "learning_rate": 4.600638977635783e-06,
      "loss": 0.3306,
      "step": 224
    },
    {
      "epoch": 0.1534526854219949,
      "grad_norm": 9.617141723632812,
      "learning_rate": 4.941427050053248e-06,
      "loss": 0.3002,
      "step": 240
    },
    {
      "epoch": 0.1636828644501279,
      "grad_norm": 0.007532110437750816,
      "learning_rate": 5.2822151224707144e-06,
      "loss": 0.2485,
      "step": 256
    },
    {
      "epoch": 0.17391304347826086,
      "grad_norm": 9.366889953613281,
      "learning_rate": 5.623003194888179e-06,
      "loss": 0.274,
      "step": 272
    },
    {
      "epoch": 0.18414322250639387,
      "grad_norm": 2.958397626876831,
      "learning_rate": 5.963791267305645e-06,
      "loss": 0.2093,
      "step": 288
    },
    {
      "epoch": 0.19437340153452684,
      "grad_norm": 0.2244662344455719,
      "learning_rate": 6.304579339723111e-06,
      "loss": 0.3521,
      "step": 304
    },
    {
      "epoch": 0.20076726342711,
      "eval_Qnli-dev_cosine_accuracy": 0.6796875,
      "eval_Qnli-dev_cosine_accuracy_threshold": 0.750099241733551,
      "eval_Qnli-dev_cosine_ap": 0.7156359777017246,
      "eval_Qnli-dev_cosine_f1": 0.6803418803418803,
      "eval_Qnli-dev_cosine_f1_threshold": 0.6485489010810852,
      "eval_Qnli-dev_cosine_precision": 0.5702005730659025,
      "eval_Qnli-dev_cosine_recall": 0.8432203389830508,
      "eval_Qnli-dev_dot_accuracy": 0.681640625,
      "eval_Qnli-dev_dot_accuracy_threshold": 724.4273681640625,
      "eval_Qnli-dev_dot_ap": 0.7008881822413993,
      "eval_Qnli-dev_dot_f1": 0.6768189509306259,
      "eval_Qnli-dev_dot_f1_threshold": 601.5821533203125,
      "eval_Qnli-dev_dot_precision": 0.5633802816901409,
      "eval_Qnli-dev_dot_recall": 0.847457627118644,
      "eval_Qnli-dev_euclidean_accuracy": 0.6796875,
      "eval_Qnli-dev_euclidean_accuracy_threshold": 21.8489990234375,
      "eval_Qnli-dev_euclidean_ap": 0.7160572797142014,
      "eval_Qnli-dev_euclidean_f1": 0.6843033509700176,
      "eval_Qnli-dev_euclidean_f1_threshold": 25.212352752685547,
      "eval_Qnli-dev_euclidean_precision": 0.5861027190332326,
      "eval_Qnli-dev_euclidean_recall": 0.8220338983050848,
      "eval_Qnli-dev_manhattan_accuracy": 0.6796875,
      "eval_Qnli-dev_manhattan_accuracy_threshold": 667.1034545898438,
      "eval_Qnli-dev_manhattan_ap": 0.7161884702166013,
      "eval_Qnli-dev_manhattan_f1": 0.6877192982456141,
      "eval_Qnli-dev_manhattan_f1_threshold": 791.084716796875,
      "eval_Qnli-dev_manhattan_precision": 0.5868263473053892,
      "eval_Qnli-dev_manhattan_recall": 0.8305084745762712,
      "eval_Qnli-dev_max_accuracy": 0.681640625,
      "eval_Qnli-dev_max_accuracy_threshold": 724.4273681640625,
      "eval_Qnli-dev_max_ap": 0.7161884702166013,
      "eval_Qnli-dev_max_f1": 0.6877192982456141,
      "eval_Qnli-dev_max_f1_threshold": 791.084716796875,
      "eval_Qnli-dev_max_precision": 0.5868263473053892,
      "eval_Qnli-dev_max_recall": 0.847457627118644,
      "eval_allNLI-dev_cosine_accuracy": 0.71875,
      "eval_allNLI-dev_cosine_accuracy_threshold": 0.834626317024231,
      "eval_allNLI-dev_cosine_ap": 0.5835584554560046,
      "eval_allNLI-dev_cosine_f1": 0.6094808126410836,
      "eval_allNLI-dev_cosine_f1_threshold": 0.6867948174476624,
      "eval_allNLI-dev_cosine_precision": 0.5,
      "eval_allNLI-dev_cosine_recall": 0.7803468208092486,
      "eval_allNLI-dev_dot_accuracy": 0.716796875,
      "eval_allNLI-dev_dot_accuracy_threshold": 792.005615234375,
      "eval_allNLI-dev_dot_ap": 0.5699574122566177,
      "eval_allNLI-dev_dot_f1": 0.6130434782608695,
      "eval_allNLI-dev_dot_f1_threshold": 633.9556274414062,
      "eval_allNLI-dev_dot_precision": 0.4912891986062718,
      "eval_allNLI-dev_dot_recall": 0.815028901734104,
      "eval_allNLI-dev_euclidean_accuracy": 0.716796875,
      "eval_allNLI-dev_euclidean_accuracy_threshold": 17.933330535888672,
      "eval_allNLI-dev_euclidean_ap": 0.583705987979273,
      "eval_allNLI-dev_euclidean_f1": 0.602510460251046,
      "eval_allNLI-dev_euclidean_f1_threshold": 25.284334182739258,
      "eval_allNLI-dev_euclidean_precision": 0.4721311475409836,
      "eval_allNLI-dev_euclidean_recall": 0.8323699421965318,
      "eval_allNLI-dev_manhattan_accuracy": 0.720703125,
      "eval_allNLI-dev_manhattan_accuracy_threshold": 559.5651245117188,
      "eval_allNLI-dev_manhattan_ap": 0.5843640673658059,
      "eval_allNLI-dev_manhattan_f1": 0.6072186836518046,
      "eval_allNLI-dev_manhattan_f1_threshold": 784.5065307617188,
      "eval_allNLI-dev_manhattan_precision": 0.4798657718120805,
      "eval_allNLI-dev_manhattan_recall": 0.8265895953757225,
      "eval_allNLI-dev_max_accuracy": 0.720703125,
      "eval_allNLI-dev_max_accuracy_threshold": 792.005615234375,
      "eval_allNLI-dev_max_ap": 0.5843640673658059,
      "eval_allNLI-dev_max_f1": 0.6130434782608695,
      "eval_allNLI-dev_max_f1_threshold": 784.5065307617188,
      "eval_allNLI-dev_max_precision": 0.5,
      "eval_allNLI-dev_max_recall": 0.8323699421965318,
      "eval_sequential_score": 0.7161884702166013,
      "eval_sts-test_pearson_cosine": 0.9083914036604525,
      "eval_sts-test_pearson_dot": 0.8981723163151856,
      "eval_sts-test_pearson_euclidean": 0.9173432574357514,
      "eval_sts-test_pearson_manhattan": 0.9168751297887556,
      "eval_sts-test_pearson_max": 0.9173432574357514,
      "eval_sts-test_spearman_cosine": 0.9121196279131069,
      "eval_sts-test_spearman_dot": 0.894677286770672,
      "eval_sts-test_spearman_euclidean": 0.9124939274633844,
      "eval_sts-test_spearman_manhattan": 0.9125480317384066,
      "eval_sts-test_spearman_max": 0.9125480317384066,
      "eval_vitaminc-pairs_loss": 3.233806610107422,
      "eval_vitaminc-pairs_runtime": 4.507,
      "eval_vitaminc-pairs_samples_per_second": 28.401,
      "eval_vitaminc-pairs_steps_per_second": 0.222,
      "step": 314
    },
    {
      "epoch": 0.20076726342711,
      "eval_negation-triplets_loss": 0.7851067781448364,
      "eval_negation-triplets_runtime": 3.158,
      "eval_negation-triplets_samples_per_second": 40.532,
      "eval_negation-triplets_steps_per_second": 0.317,
      "step": 314
    },
    {
      "epoch": 0.20076726342711,
      "eval_scitail-pairs-pos_loss": 0.021762849763035774,
      "eval_scitail-pairs-pos_runtime": 2.6751,
      "eval_scitail-pairs-pos_samples_per_second": 47.849,
      "eval_scitail-pairs-pos_steps_per_second": 0.374,
      "step": 314
    },
    {
      "epoch": 0.20076726342711,
      "eval_scitail-pairs-qa_loss": 0.010233570821583271,
      "eval_scitail-pairs-qa_runtime": 2.2385,
      "eval_scitail-pairs-qa_samples_per_second": 57.181,
      "eval_scitail-pairs-qa_steps_per_second": 0.447,
      "step": 314
    },
    {
      "epoch": 0.20076726342711,
      "eval_xsum-pairs_loss": 0.07829513400793076,
      "eval_xsum-pairs_runtime": 3.1055,
      "eval_xsum-pairs_samples_per_second": 41.217,
      "eval_xsum-pairs_steps_per_second": 0.322,
      "step": 314
    },
    {
      "epoch": 0.20076726342711,
      "eval_sciq_pairs_loss": 0.06304117292165756,
      "eval_sciq_pairs_runtime": 4.3422,
      "eval_sciq_pairs_samples_per_second": 29.478,
      "eval_sciq_pairs_steps_per_second": 0.23,
      "step": 314
    },
    {
      "epoch": 0.20076726342711,
      "eval_qasc_pairs_loss": 0.11734917759895325,
      "eval_qasc_pairs_runtime": 2.1055,
      "eval_qasc_pairs_samples_per_second": 60.793,
      "eval_qasc_pairs_steps_per_second": 0.475,
      "step": 314
    },
    {
      "epoch": 0.20076726342711,
      "eval_openbookqa_pairs_loss": 0.45362916588783264,
      "eval_openbookqa_pairs_runtime": 2.2519,
      "eval_openbookqa_pairs_samples_per_second": 56.84,
      "eval_openbookqa_pairs_steps_per_second": 0.444,
      "step": 314
    },
    {
      "epoch": 0.20076726342711,
      "eval_msmarco_pairs_loss": 0.1522417515516281,
      "eval_msmarco_pairs_runtime": 2.2506,
      "eval_msmarco_pairs_samples_per_second": 56.874,
      "eval_msmarco_pairs_steps_per_second": 0.444,
      "step": 314
    },
    {
      "epoch": 0.20076726342711,
      "eval_nq_pairs_loss": 0.18318293988704681,
      "eval_nq_pairs_runtime": 3.3369,
      "eval_nq_pairs_samples_per_second": 38.359,
      "eval_nq_pairs_steps_per_second": 0.3,
      "step": 314
    },
    {
      "epoch": 0.20076726342711,
      "eval_trivia_pairs_loss": 0.13312742114067078,
      "eval_trivia_pairs_runtime": 3.3622,
      "eval_trivia_pairs_samples_per_second": 38.07,
      "eval_trivia_pairs_steps_per_second": 0.297,
      "step": 314
    },
    {
      "epoch": 0.20076726342711,
      "eval_gooaq_pairs_loss": 0.13270226120948792,
      "eval_gooaq_pairs_runtime": 2.2422,
      "eval_gooaq_pairs_samples_per_second": 57.086,
      "eval_gooaq_pairs_steps_per_second": 0.446,
      "step": 314
    },
    {
      "epoch": 0.20076726342711,
      "eval_paws-pos_loss": 0.02471838891506195,
      "eval_paws-pos_runtime": 2.3061,
      "eval_paws-pos_samples_per_second": 55.506,
      "eval_paws-pos_steps_per_second": 0.434,
      "step": 314
    },
    {
      "epoch": 0.20076726342711,
      "eval_global_dataset_loss": 0.23317644000053406,
      "eval_global_dataset_runtime": 8.8835,
      "eval_global_dataset_samples_per_second": 36.585,
      "eval_global_dataset_steps_per_second": 0.338,
      "step": 314
    },
    {
      "epoch": 0.20460358056265984,
      "grad_norm": 14.963007926940918,
      "learning_rate": 6.645367412140575e-06,
      "loss": 0.2628,
      "step": 320
    },
    {
      "epoch": 0.21483375959079284,
      "grad_norm": 33.163265228271484,
      "learning_rate": 6.986155484558041e-06,
      "loss": 0.2167,
      "step": 336
    },
    {
      "epoch": 0.22506393861892582,
      "grad_norm": 239.8547821044922,
      "learning_rate": 7.326943556975507e-06,
      "loss": 0.1816,
      "step": 352
    },
    {
      "epoch": 0.23529411764705882,
      "grad_norm": 6.623231410980225,
      "learning_rate": 7.667731629392972e-06,
      "loss": 0.1327,
      "step": 368
    },
    {
      "epoch": 0.24552429667519182,
      "grad_norm": 9.30941390991211,
      "learning_rate": 8.008519701810438e-06,
      "loss": 0.2178,
      "step": 384
    },
    {
      "epoch": 0.2557544757033248,
      "grad_norm": 4.750399112701416,
      "learning_rate": 8.32800851970181e-06,
      "loss": 0.0993,
      "step": 400
    },
    {
      "epoch": 0.2659846547314578,
      "grad_norm": 6.0740461349487305,
      "learning_rate": 8.668796592119276e-06,
      "loss": 0.2293,
      "step": 416
    },
    {
      "epoch": 0.27621483375959077,
      "grad_norm": 39.3314323425293,
      "learning_rate": 9.009584664536743e-06,
      "loss": 0.4346,
      "step": 432
    },
    {
      "epoch": 0.2864450127877238,
      "grad_norm": 1288.867431640625,
      "learning_rate": 9.329073482428116e-06,
      "loss": 1.0288,
      "step": 448
    },
    {
      "epoch": 0.2966751918158568,
      "grad_norm": 9.365520477294922,
      "learning_rate": 9.64856230031949e-06,
      "loss": 0.4893,
      "step": 464
    },
    {
      "epoch": 0.30115089514066495,
      "eval_Qnli-dev_cosine_accuracy": 0.69921875,
      "eval_Qnli-dev_cosine_accuracy_threshold": 0.7410688400268555,
      "eval_Qnli-dev_cosine_ap": 0.7331344916543854,
      "eval_Qnli-dev_cosine_f1": 0.6888111888111887,
      "eval_Qnli-dev_cosine_f1_threshold": 0.6412021517753601,
      "eval_Qnli-dev_cosine_precision": 0.5863095238095238,
      "eval_Qnli-dev_cosine_recall": 0.8347457627118644,
      "eval_Qnli-dev_dot_accuracy": 0.69140625,
      "eval_Qnli-dev_dot_accuracy_threshold": 673.3492431640625,
      "eval_Qnli-dev_dot_ap": 0.702049578471496,
      "eval_Qnli-dev_dot_f1": 0.6897810218978102,
      "eval_Qnli-dev_dot_f1_threshold": 611.4298706054688,
      "eval_Qnli-dev_dot_precision": 0.6057692307692307,
      "eval_Qnli-dev_dot_recall": 0.8008474576271186,
      "eval_Qnli-dev_euclidean_accuracy": 0.697265625,
      "eval_Qnli-dev_euclidean_accuracy_threshold": 22.84914207458496,
      "eval_Qnli-dev_euclidean_ap": 0.7357836494194735,
      "eval_Qnli-dev_euclidean_f1": 0.6843177189409368,
      "eval_Qnli-dev_euclidean_f1_threshold": 23.908557891845703,
      "eval_Qnli-dev_euclidean_precision": 0.6588235294117647,
      "eval_Qnli-dev_euclidean_recall": 0.711864406779661,
      "eval_Qnli-dev_manhattan_accuracy": 0.69921875,
      "eval_Qnli-dev_manhattan_accuracy_threshold": 712.7897338867188,
      "eval_Qnli-dev_manhattan_ap": 0.736884863348749,
      "eval_Qnli-dev_manhattan_f1": 0.6865079365079366,
      "eval_Qnli-dev_manhattan_f1_threshold": 753.1321411132812,
      "eval_Qnli-dev_manhattan_precision": 0.6455223880597015,
      "eval_Qnli-dev_manhattan_recall": 0.7330508474576272,
      "eval_Qnli-dev_max_accuracy": 0.69921875,
      "eval_Qnli-dev_max_accuracy_threshold": 712.7897338867188,
      "eval_Qnli-dev_max_ap": 0.736884863348749,
      "eval_Qnli-dev_max_f1": 0.6897810218978102,
      "eval_Qnli-dev_max_f1_threshold": 753.1321411132812,
      "eval_Qnli-dev_max_precision": 0.6588235294117647,
      "eval_Qnli-dev_max_recall": 0.8347457627118644,
      "eval_allNLI-dev_cosine_accuracy": 0.716796875,
      "eval_allNLI-dev_cosine_accuracy_threshold": 0.835934042930603,
      "eval_allNLI-dev_cosine_ap": 0.5816321594253542,
      "eval_allNLI-dev_cosine_f1": 0.6029106029106028,
      "eval_allNLI-dev_cosine_f1_threshold": 0.6776033043861389,
      "eval_allNLI-dev_cosine_precision": 0.4707792207792208,
      "eval_allNLI-dev_cosine_recall": 0.838150289017341,
      "eval_allNLI-dev_dot_accuracy": 0.703125,
      "eval_allNLI-dev_dot_accuracy_threshold": 810.56591796875,
      "eval_allNLI-dev_dot_ap": 0.5677886575854101,
      "eval_allNLI-dev_dot_f1": 0.6004228329809725,
      "eval_allNLI-dev_dot_f1_threshold": 647.8101806640625,
      "eval_allNLI-dev_dot_precision": 0.47333333333333333,
      "eval_allNLI-dev_dot_recall": 0.8208092485549133,
      "eval_allNLI-dev_euclidean_accuracy": 0.71875,
      "eval_allNLI-dev_euclidean_accuracy_threshold": 17.530292510986328,
      "eval_allNLI-dev_euclidean_ap": 0.5790276724859877,
      "eval_allNLI-dev_euclidean_f1": 0.6070686070686071,
      "eval_allNLI-dev_euclidean_f1_threshold": 24.67755126953125,
      "eval_allNLI-dev_euclidean_precision": 0.474025974025974,
      "eval_allNLI-dev_euclidean_recall": 0.8439306358381503,
      "eval_allNLI-dev_manhattan_accuracy": 0.71875,
      "eval_allNLI-dev_manhattan_accuracy_threshold": 547.3074951171875,
      "eval_allNLI-dev_manhattan_ap": 0.5803704124451106,
      "eval_allNLI-dev_manhattan_f1": 0.6008583690987125,
      "eval_allNLI-dev_manhattan_f1_threshold": 760.1802368164062,
      "eval_allNLI-dev_manhattan_precision": 0.4778156996587031,
      "eval_allNLI-dev_manhattan_recall": 0.8092485549132948,
      "eval_allNLI-dev_max_accuracy": 0.71875,
      "eval_allNLI-dev_max_accuracy_threshold": 810.56591796875,
      "eval_allNLI-dev_max_ap": 0.5816321594253542,
      "eval_allNLI-dev_max_f1": 0.6070686070686071,
      "eval_allNLI-dev_max_f1_threshold": 760.1802368164062,
      "eval_allNLI-dev_max_precision": 0.4778156996587031,
      "eval_allNLI-dev_max_recall": 0.8439306358381503,
      "eval_sequential_score": 0.736884863348749,
      "eval_sts-test_pearson_cosine": 0.9094229035285761,
      "eval_sts-test_pearson_dot": 0.8982590057670237,
      "eval_sts-test_pearson_euclidean": 0.9199260651959468,
      "eval_sts-test_pearson_manhattan": 0.9194219727619668,
      "eval_sts-test_pearson_max": 0.9199260651959468,
      "eval_sts-test_spearman_cosine": 0.9158958736030971,
      "eval_sts-test_spearman_dot": 0.8963403778977608,
      "eval_sts-test_spearman_euclidean": 0.9158618178931783,
      "eval_sts-test_spearman_manhattan": 0.9156180577723795,
      "eval_sts-test_spearman_max": 0.9158958736030971,
      "eval_vitaminc-pairs_loss": 3.671621084213257,
      "eval_vitaminc-pairs_runtime": 4.6059,
      "eval_vitaminc-pairs_samples_per_second": 27.791,
      "eval_vitaminc-pairs_steps_per_second": 0.217,
      "step": 471
    },
    {
      "epoch": 0.30115089514066495,
      "eval_negation-triplets_loss": 0.6801220774650574,
      "eval_negation-triplets_runtime": 3.2119,
      "eval_negation-triplets_samples_per_second": 39.852,
      "eval_negation-triplets_steps_per_second": 0.311,
      "step": 471
    },
    {
      "epoch": 0.30115089514066495,
      "eval_scitail-pairs-pos_loss": 0.01225399598479271,
      "eval_scitail-pairs-pos_runtime": 2.7794,
      "eval_scitail-pairs-pos_samples_per_second": 46.052,
      "eval_scitail-pairs-pos_steps_per_second": 0.36,
      "step": 471
    },
    {
      "epoch": 0.30115089514066495,
      "eval_scitail-pairs-qa_loss": 0.00501797953620553,
      "eval_scitail-pairs-qa_runtime": 2.3318,
      "eval_scitail-pairs-qa_samples_per_second": 54.893,
      "eval_scitail-pairs-qa_steps_per_second": 0.429,
      "step": 471
    },
    {
      "epoch": 0.30115089514066495,
      "eval_xsum-pairs_loss": 0.05804339051246643,
      "eval_xsum-pairs_runtime": 3.1527,
      "eval_xsum-pairs_samples_per_second": 40.6,
      "eval_xsum-pairs_steps_per_second": 0.317,
      "step": 471
    },
    {
      "epoch": 0.30115089514066495,
      "eval_sciq_pairs_loss": 0.04724589362740517,
      "eval_sciq_pairs_runtime": 4.3481,
      "eval_sciq_pairs_samples_per_second": 29.438,
      "eval_sciq_pairs_steps_per_second": 0.23,
      "step": 471
    },
    {
      "epoch": 0.30115089514066495,
      "eval_qasc_pairs_loss": 0.04424997419118881,
      "eval_qasc_pairs_runtime": 2.1476,
      "eval_qasc_pairs_samples_per_second": 59.6,
      "eval_qasc_pairs_steps_per_second": 0.466,
      "step": 471
    },
    {
      "epoch": 0.30115089514066495,
      "eval_openbookqa_pairs_loss": 0.46001699566841125,
      "eval_openbookqa_pairs_runtime": 2.3534,
      "eval_openbookqa_pairs_samples_per_second": 54.389,
      "eval_openbookqa_pairs_steps_per_second": 0.425,
      "step": 471
    },
    {
      "epoch": 0.30115089514066495,
      "eval_msmarco_pairs_loss": 0.22556719183921814,
      "eval_msmarco_pairs_runtime": 2.2946,
      "eval_msmarco_pairs_samples_per_second": 55.782,
      "eval_msmarco_pairs_steps_per_second": 0.436,
      "step": 471
    },
    {
      "epoch": 0.30115089514066495,
      "eval_nq_pairs_loss": 0.13123252987861633,
      "eval_nq_pairs_runtime": 3.3642,
      "eval_nq_pairs_samples_per_second": 38.048,
      "eval_nq_pairs_steps_per_second": 0.297,
      "step": 471
    },
    {
      "epoch": 0.30115089514066495,
      "eval_trivia_pairs_loss": 0.11183707416057587,
      "eval_trivia_pairs_runtime": 3.3501,
      "eval_trivia_pairs_samples_per_second": 38.208,
      "eval_trivia_pairs_steps_per_second": 0.299,
      "step": 471
    },
    {
      "epoch": 0.30115089514066495,
      "eval_gooaq_pairs_loss": 0.17444811761379242,
      "eval_gooaq_pairs_runtime": 2.2434,
      "eval_gooaq_pairs_samples_per_second": 57.056,
      "eval_gooaq_pairs_steps_per_second": 0.446,
      "step": 471
    },
    {
      "epoch": 0.30115089514066495,
      "eval_paws-pos_loss": 0.02457336150109768,
      "eval_paws-pos_runtime": 2.3035,
      "eval_paws-pos_samples_per_second": 55.567,
      "eval_paws-pos_steps_per_second": 0.434,
      "step": 471
    },
    {
      "epoch": 0.30115089514066495,
      "eval_global_dataset_loss": 0.259395956993103,
      "eval_global_dataset_runtime": 8.8545,
      "eval_global_dataset_samples_per_second": 36.704,
      "eval_global_dataset_steps_per_second": 0.339,
      "step": 471
    },
    {
      "epoch": 0.3069053708439898,
      "grad_norm": 0.012338381260633469,
      "learning_rate": 9.989350372736955e-06,
      "loss": 0.1706,
      "step": 480
    },
    {
      "epoch": 0.3171355498721228,
      "grad_norm": 2.509495973587036,
      "learning_rate": 1.033013844515442e-05,
      "loss": 0.1083,
      "step": 496
    },
    {
      "epoch": 0.3273657289002558,
      "grad_norm": 58.62932586669922,
      "learning_rate": 1.0670926517571887e-05,
      "loss": 0.1036,
      "step": 512
    },
    {
      "epoch": 0.3375959079283887,
      "grad_norm": 57.70167922973633,
      "learning_rate": 1.101171458998935e-05,
      "loss": 0.4057,
      "step": 528
    },
    {
      "epoch": 0.34782608695652173,
      "grad_norm": 5.249549388885498,
      "learning_rate": 1.1352502662406816e-05,
      "loss": 0.1629,
      "step": 544
    },
    {
      "epoch": 0.35805626598465473,
      "grad_norm": 744.4637451171875,
      "learning_rate": 1.1693290734824283e-05,
      "loss": 0.6291,
      "step": 560
    },
    {
      "epoch": 0.36828644501278773,
      "grad_norm": 3727.07373046875,
      "learning_rate": 1.2012779552715656e-05,
      "loss": 0.7985,
      "step": 576
    },
    {
      "epoch": 0.37851662404092073,
      "grad_norm": 1.6333959102630615,
      "learning_rate": 1.233226837060703e-05,
      "loss": 0.3209,
      "step": 592
    },
    {
      "epoch": 0.3887468030690537,
      "grad_norm": 71.8410873413086,
      "learning_rate": 1.2651757188498404e-05,
      "loss": 0.2933,
      "step": 608
    },
    {
      "epoch": 0.3989769820971867,
      "grad_norm": 15.115602493286133,
      "learning_rate": 1.299254526091587e-05,
      "loss": 0.1887,
      "step": 624
    },
    {
      "epoch": 0.40153452685422,
      "eval_Qnli-dev_cosine_accuracy": 0.6796875,
      "eval_Qnli-dev_cosine_accuracy_threshold": 0.7387017011642456,
      "eval_Qnli-dev_cosine_ap": 0.7232227658329593,
      "eval_Qnli-dev_cosine_f1": 0.6812816188870151,
      "eval_Qnli-dev_cosine_f1_threshold": 0.5850255489349365,
      "eval_Qnli-dev_cosine_precision": 0.5658263305322129,
      "eval_Qnli-dev_cosine_recall": 0.8559322033898306,
      "eval_Qnli-dev_dot_accuracy": 0.6796875,
      "eval_Qnli-dev_dot_accuracy_threshold": 610.0311279296875,
      "eval_Qnli-dev_dot_ap": 0.7080904391300955,
      "eval_Qnli-dev_dot_f1": 0.6843853820598007,
      "eval_Qnli-dev_dot_f1_threshold": 513.2543334960938,
      "eval_Qnli-dev_dot_precision": 0.5628415300546448,
      "eval_Qnli-dev_dot_recall": 0.8728813559322034,
      "eval_Qnli-dev_euclidean_accuracy": 0.68359375,
      "eval_Qnli-dev_euclidean_accuracy_threshold": 22.151939392089844,
      "eval_Qnli-dev_euclidean_ap": 0.7234064908940119,
      "eval_Qnli-dev_euclidean_f1": 0.6771653543307087,
      "eval_Qnli-dev_euclidean_f1_threshold": 28.56058692932129,
      "eval_Qnli-dev_euclidean_precision": 0.5388471177944862,
      "eval_Qnli-dev_euclidean_recall": 0.9110169491525424,
      "eval_Qnli-dev_manhattan_accuracy": 0.68359375,
      "eval_Qnli-dev_manhattan_accuracy_threshold": 695.5964965820312,
      "eval_Qnli-dev_manhattan_ap": 0.7224600475409794,
      "eval_Qnli-dev_manhattan_f1": 0.679245283018868,
      "eval_Qnli-dev_manhattan_f1_threshold": 890.5444946289062,
      "eval_Qnli-dev_manhattan_precision": 0.54,
      "eval_Qnli-dev_manhattan_recall": 0.9152542372881356,
      "eval_Qnli-dev_max_accuracy": 0.68359375,
      "eval_Qnli-dev_max_accuracy_threshold": 695.5964965820312,
      "eval_Qnli-dev_max_ap": 0.7234064908940119,
      "eval_Qnli-dev_max_f1": 0.6843853820598007,
      "eval_Qnli-dev_max_f1_threshold": 890.5444946289062,
      "eval_Qnli-dev_max_precision": 0.5658263305322129,
      "eval_Qnli-dev_max_recall": 0.9152542372881356,
      "eval_allNLI-dev_cosine_accuracy": 0.71484375,
      "eval_allNLI-dev_cosine_accuracy_threshold": 0.8244803547859192,
      "eval_allNLI-dev_cosine_ap": 0.5598399809421326,
      "eval_allNLI-dev_cosine_f1": 0.6026785714285714,
      "eval_allNLI-dev_cosine_f1_threshold": 0.6709309816360474,
      "eval_allNLI-dev_cosine_precision": 0.4909090909090909,
      "eval_allNLI-dev_cosine_recall": 0.7803468208092486,
      "eval_allNLI-dev_dot_accuracy": 0.7109375,
      "eval_allNLI-dev_dot_accuracy_threshold": 769.110107421875,
      "eval_allNLI-dev_dot_ap": 0.5522830058603818,
      "eval_allNLI-dev_dot_f1": 0.5976470588235294,
      "eval_allNLI-dev_dot_f1_threshold": 639.0211181640625,
      "eval_allNLI-dev_dot_precision": 0.503968253968254,
      "eval_allNLI-dev_dot_recall": 0.7341040462427746,
      "eval_allNLI-dev_euclidean_accuracy": 0.705078125,
      "eval_allNLI-dev_euclidean_accuracy_threshold": 15.881658554077148,
      "eval_allNLI-dev_euclidean_ap": 0.5573704039417041,
      "eval_allNLI-dev_euclidean_f1": 0.589010989010989,
      "eval_allNLI-dev_euclidean_f1_threshold": 24.65237808227539,
      "eval_allNLI-dev_euclidean_precision": 0.475177304964539,
      "eval_allNLI-dev_euclidean_recall": 0.7745664739884393,
      "eval_allNLI-dev_manhattan_accuracy": 0.705078125,
      "eval_allNLI-dev_manhattan_accuracy_threshold": 494.8561706542969,
      "eval_allNLI-dev_manhattan_ap": 0.5596244537722644,
      "eval_allNLI-dev_manhattan_f1": 0.593886462882096,
      "eval_allNLI-dev_manhattan_f1_threshold": 772.1622314453125,
      "eval_allNLI-dev_manhattan_precision": 0.47719298245614034,
      "eval_allNLI-dev_manhattan_recall": 0.7861271676300579,
      "eval_allNLI-dev_max_accuracy": 0.71484375,
      "eval_allNLI-dev_max_accuracy_threshold": 769.110107421875,
      "eval_allNLI-dev_max_ap": 0.5598399809421326,
      "eval_allNLI-dev_max_f1": 0.6026785714285714,
      "eval_allNLI-dev_max_f1_threshold": 772.1622314453125,
      "eval_allNLI-dev_max_precision": 0.503968253968254,
      "eval_allNLI-dev_max_recall": 0.7861271676300579,
      "eval_sequential_score": 0.7234064908940119,
      "eval_sts-test_pearson_cosine": 0.9059824822945504,
      "eval_sts-test_pearson_dot": 0.8934118861402478,
      "eval_sts-test_pearson_euclidean": 0.9143064951884331,
      "eval_sts-test_pearson_manhattan": 0.9138764030584118,
      "eval_sts-test_pearson_max": 0.9143064951884331,
      "eval_sts-test_spearman_cosine": 0.9099404652396526,
      "eval_sts-test_spearman_dot": 0.8907050753070487,
      "eval_sts-test_spearman_euclidean": 0.9102612870325675,
      "eval_sts-test_spearman_manhattan": 0.9097054966996683,
      "eval_sts-test_spearman_max": 0.9102612870325675,
      "eval_vitaminc-pairs_loss": 3.6695005893707275,
      "eval_vitaminc-pairs_runtime": 4.5674,
      "eval_vitaminc-pairs_samples_per_second": 28.025,
      "eval_vitaminc-pairs_steps_per_second": 0.219,
      "step": 628
    },
    {
      "epoch": 0.40153452685422,
      "eval_negation-triplets_loss": 0.8490238189697266,
      "eval_negation-triplets_runtime": 3.2004,
      "eval_negation-triplets_samples_per_second": 39.995,
      "eval_negation-triplets_steps_per_second": 0.312,
      "step": 628
    },
    {
      "epoch": 0.40153452685422,
      "eval_scitail-pairs-pos_loss": 0.017992086708545685,
      "eval_scitail-pairs-pos_runtime": 2.8,
      "eval_scitail-pairs-pos_samples_per_second": 45.714,
      "eval_scitail-pairs-pos_steps_per_second": 0.357,
      "step": 628
    },
    {
      "epoch": 0.40153452685422,
      "eval_scitail-pairs-qa_loss": 0.06842579692602158,
      "eval_scitail-pairs-qa_runtime": 2.2721,
      "eval_scitail-pairs-qa_samples_per_second": 56.337,
      "eval_scitail-pairs-qa_steps_per_second": 0.44,
      "step": 628
    },
    {
      "epoch": 0.40153452685422,
      "eval_xsum-pairs_loss": 1.8987103700637817,
      "eval_xsum-pairs_runtime": 3.1443,
      "eval_xsum-pairs_samples_per_second": 40.709,
      "eval_xsum-pairs_steps_per_second": 0.318,
      "step": 628
    },
    {
      "epoch": 0.40153452685422,
      "eval_sciq_pairs_loss": 0.2226540595293045,
      "eval_sciq_pairs_runtime": 4.4099,
      "eval_sciq_pairs_samples_per_second": 29.025,
      "eval_sciq_pairs_steps_per_second": 0.227,
      "step": 628
    },
    {
      "epoch": 0.40153452685422,
      "eval_qasc_pairs_loss": 0.0974484235048294,
      "eval_qasc_pairs_runtime": 2.1808,
      "eval_qasc_pairs_samples_per_second": 58.693,
      "eval_qasc_pairs_steps_per_second": 0.459,
      "step": 628
    },
    {
      "epoch": 0.40153452685422,
      "eval_openbookqa_pairs_loss": 0.614979088306427,
      "eval_openbookqa_pairs_runtime": 2.2849,
      "eval_openbookqa_pairs_samples_per_second": 56.02,
      "eval_openbookqa_pairs_steps_per_second": 0.438,
      "step": 628
    },
    {
      "epoch": 0.40153452685422,
      "eval_msmarco_pairs_loss": 2.7714712619781494,
      "eval_msmarco_pairs_runtime": 2.2847,
      "eval_msmarco_pairs_samples_per_second": 56.025,
      "eval_msmarco_pairs_steps_per_second": 0.438,
      "step": 628
    },
    {
      "epoch": 0.40153452685422,
      "eval_nq_pairs_loss": 1.1084551811218262,
      "eval_nq_pairs_runtime": 3.3615,
      "eval_nq_pairs_samples_per_second": 38.079,
      "eval_nq_pairs_steps_per_second": 0.297,
      "step": 628
    },
    {
      "epoch": 0.40153452685422,
      "eval_trivia_pairs_loss": 1.0560091733932495,
      "eval_trivia_pairs_runtime": 3.3645,
      "eval_trivia_pairs_samples_per_second": 38.044,
      "eval_trivia_pairs_steps_per_second": 0.297,
      "step": 628
    },
    {
      "epoch": 0.40153452685422,
      "eval_gooaq_pairs_loss": 0.7939258813858032,
      "eval_gooaq_pairs_runtime": 2.197,
      "eval_gooaq_pairs_samples_per_second": 58.261,
      "eval_gooaq_pairs_steps_per_second": 0.455,
      "step": 628
    },
    {
      "epoch": 0.40153452685422,
      "eval_paws-pos_loss": 0.17634068429470062,
      "eval_paws-pos_runtime": 2.2907,
      "eval_paws-pos_samples_per_second": 55.878,
      "eval_paws-pos_steps_per_second": 0.437,
      "step": 628
    },
    {
      "epoch": 0.40153452685422,
      "eval_global_dataset_loss": 0.678693413734436,
      "eval_global_dataset_runtime": 8.8475,
      "eval_global_dataset_samples_per_second": 36.733,
      "eval_global_dataset_steps_per_second": 0.339,
      "step": 628
    },
    {
      "epoch": 0.4092071611253197,
      "grad_norm": 440.4800720214844,
      "learning_rate": 1.3333333333333333e-05,
      "loss": 1.0156,
      "step": 640
    },
    {
      "epoch": 0.4194373401534527,
      "grad_norm": 398.4678955078125,
      "learning_rate": 1.36741214057508e-05,
      "loss": 1.3699,
      "step": 656
    },
    {
      "epoch": 0.4296675191815857,
      "grad_norm": 4009.26220703125,
      "learning_rate": 1.3993610223642173e-05,
      "loss": 3.8892,
      "step": 672
    },
    {
      "epoch": 0.4398976982097187,
      "grad_norm": 643.8749389648438,
      "learning_rate": 1.4334398296059639e-05,
      "loss": 2.5961,
      "step": 688
    },
    {
      "epoch": 0.45012787723785164,
      "grad_norm": 2570.24560546875,
      "learning_rate": 1.4675186368477104e-05,
      "loss": 7.094,
      "step": 704
    },
    {
      "epoch": 0.46035805626598464,
      "grad_norm": 5654.052734375,
      "learning_rate": 1.501597444089457e-05,
      "loss": 2.8695,
      "step": 720
    },
    {
      "epoch": 0.47058823529411764,
      "grad_norm": 710.1712646484375,
      "learning_rate": 1.5356762513312037e-05,
      "loss": 5.7516,
      "step": 736
    },
    {
      "epoch": 0.48081841432225064,
      "grad_norm": 186.94851684570312,
      "learning_rate": 1.56975505857295e-05,
      "loss": 1.1622,
      "step": 752
    },
    {
      "epoch": 0.49104859335038364,
      "grad_norm": 418.9023742675781,
      "learning_rate": 1.6038338658146964e-05,
      "loss": 1.2898,
      "step": 768
    },
    {
      "epoch": 0.5012787723785166,
      "grad_norm": 59.84318542480469,
      "learning_rate": 1.637912673056443e-05,
      "loss": 0.5779,
      "step": 784
    },
    {
      "epoch": 0.5019181585677749,
      "eval_Qnli-dev_cosine_accuracy": 0.701171875,
      "eval_Qnli-dev_cosine_accuracy_threshold": 0.6924287676811218,
      "eval_Qnli-dev_cosine_ap": 0.7385336798634711,
      "eval_Qnli-dev_cosine_f1": 0.6933867735470942,
      "eval_Qnli-dev_cosine_f1_threshold": 0.6914424300193787,
      "eval_Qnli-dev_cosine_precision": 0.6577946768060836,
      "eval_Qnli-dev_cosine_recall": 0.7330508474576272,
      "eval_Qnli-dev_dot_accuracy": 0.671875,
      "eval_Qnli-dev_dot_accuracy_threshold": 727.0087890625,
      "eval_Qnli-dev_dot_ap": 0.6770156987156393,
      "eval_Qnli-dev_dot_f1": 0.6799999999999999,
      "eval_Qnli-dev_dot_f1_threshold": 679.4116821289062,
      "eval_Qnli-dev_dot_precision": 0.5955414012738853,
      "eval_Qnli-dev_dot_recall": 0.7923728813559322,
      "eval_Qnli-dev_euclidean_accuracy": 0.701171875,
      "eval_Qnli-dev_euclidean_accuracy_threshold": 23.944599151611328,
      "eval_Qnli-dev_euclidean_ap": 0.748116028021377,
      "eval_Qnli-dev_euclidean_f1": 0.69215291750503,
      "eval_Qnli-dev_euclidean_f1_threshold": 25.11563491821289,
      "eval_Qnli-dev_euclidean_precision": 0.6590038314176245,
      "eval_Qnli-dev_euclidean_recall": 0.7288135593220338,
      "eval_Qnli-dev_manhattan_accuracy": 0.703125,
      "eval_Qnli-dev_manhattan_accuracy_threshold": 755.9312744140625,
      "eval_Qnli-dev_manhattan_ap": 0.7493754470561521,
      "eval_Qnli-dev_manhattan_f1": 0.6960000000000001,
      "eval_Qnli-dev_manhattan_f1_threshold": 786.2037353515625,
      "eval_Qnli-dev_manhattan_precision": 0.6590909090909091,
      "eval_Qnli-dev_manhattan_recall": 0.7372881355932204,
      "eval_Qnli-dev_max_accuracy": 0.703125,
      "eval_Qnli-dev_max_accuracy_threshold": 755.9312744140625,
      "eval_Qnli-dev_max_ap": 0.7493754470561521,
      "eval_Qnli-dev_max_f1": 0.6960000000000001,
      "eval_Qnli-dev_max_f1_threshold": 786.2037353515625,
      "eval_Qnli-dev_max_precision": 0.6590909090909091,
      "eval_Qnli-dev_max_recall": 0.7923728813559322,
      "eval_allNLI-dev_cosine_accuracy": 0.708984375,
      "eval_allNLI-dev_cosine_accuracy_threshold": 0.8311391472816467,
      "eval_allNLI-dev_cosine_ap": 0.5827534981088864,
      "eval_allNLI-dev_cosine_f1": 0.5991379310344827,
      "eval_allNLI-dev_cosine_f1_threshold": 0.6599106788635254,
      "eval_allNLI-dev_cosine_precision": 0.47766323024054985,
      "eval_allNLI-dev_cosine_recall": 0.8034682080924855,
      "eval_allNLI-dev_dot_accuracy": 0.708984375,
      "eval_allNLI-dev_dot_accuracy_threshold": 879.6187744140625,
      "eval_allNLI-dev_dot_ap": 0.5812507953653799,
      "eval_allNLI-dev_dot_f1": 0.597590361445783,
      "eval_allNLI-dev_dot_f1_threshold": 726.0135498046875,
      "eval_allNLI-dev_dot_precision": 0.512396694214876,
      "eval_allNLI-dev_dot_recall": 0.7167630057803468,
      "eval_allNLI-dev_euclidean_accuracy": 0.712890625,
      "eval_allNLI-dev_euclidean_accuracy_threshold": 20.80200958251953,
      "eval_allNLI-dev_euclidean_ap": 0.5793171372613979,
      "eval_allNLI-dev_euclidean_f1": 0.5988023952095808,
      "eval_allNLI-dev_euclidean_f1_threshold": 27.593257904052734,
      "eval_allNLI-dev_euclidean_precision": 0.4573170731707317,
      "eval_allNLI-dev_euclidean_recall": 0.8670520231213873,
      "eval_allNLI-dev_manhattan_accuracy": 0.7109375,
      "eval_allNLI-dev_manhattan_accuracy_threshold": 592.0584716796875,
      "eval_allNLI-dev_manhattan_ap": 0.5794717044021251,
      "eval_allNLI-dev_manhattan_f1": 0.5980198019801979,
      "eval_allNLI-dev_manhattan_f1_threshold": 856.8595581054688,
      "eval_allNLI-dev_manhattan_precision": 0.45481927710843373,
      "eval_allNLI-dev_manhattan_recall": 0.8728323699421965,
      "eval_allNLI-dev_max_accuracy": 0.712890625,
      "eval_allNLI-dev_max_accuracy_threshold": 879.6187744140625,
      "eval_allNLI-dev_max_ap": 0.5827534981088864,
      "eval_allNLI-dev_max_f1": 0.5991379310344827,
      "eval_allNLI-dev_max_f1_threshold": 856.8595581054688,
      "eval_allNLI-dev_max_precision": 0.512396694214876,
      "eval_allNLI-dev_max_recall": 0.8728323699421965,
      "eval_sequential_score": 0.7493754470561521,
      "eval_sts-test_pearson_cosine": 0.9091021775992931,
      "eval_sts-test_pearson_dot": 0.8832539076390011,
      "eval_sts-test_pearson_euclidean": 0.9096800553065446,
      "eval_sts-test_pearson_manhattan": 0.9116788038260619,
      "eval_sts-test_pearson_max": 0.9116788038260619,
      "eval_sts-test_spearman_cosine": 0.9058912347278699,
      "eval_sts-test_spearman_dot": 0.8744089034713706,
      "eval_sts-test_spearman_euclidean": 0.9063140467728005,
      "eval_sts-test_spearman_manhattan": 0.9082527161675373,
      "eval_sts-test_spearman_max": 0.9082527161675373,
      "eval_vitaminc-pairs_loss": 3.191007614135742,
      "eval_vitaminc-pairs_runtime": 4.5691,
      "eval_vitaminc-pairs_samples_per_second": 28.014,
      "eval_vitaminc-pairs_steps_per_second": 0.219,
      "step": 785
    },
    {
      "epoch": 0.5019181585677749,
      "eval_negation-triplets_loss": 0.8027606010437012,
      "eval_negation-triplets_runtime": 3.1899,
      "eval_negation-triplets_samples_per_second": 40.127,
      "eval_negation-triplets_steps_per_second": 0.313,
      "step": 785
    },
    {
      "epoch": 0.5019181585677749,
      "eval_scitail-pairs-pos_loss": 0.011304985731840134,
      "eval_scitail-pairs-pos_runtime": 2.7258,
      "eval_scitail-pairs-pos_samples_per_second": 46.958,
      "eval_scitail-pairs-pos_steps_per_second": 0.367,
      "step": 785
    },
    {
      "epoch": 0.5019181585677749,
      "eval_scitail-pairs-qa_loss": 0.009512349031865597,
      "eval_scitail-pairs-qa_runtime": 2.2719,
      "eval_scitail-pairs-qa_samples_per_second": 56.341,
      "eval_scitail-pairs-qa_steps_per_second": 0.44,
      "step": 785
    },
    {
      "epoch": 0.5019181585677749,
      "eval_xsum-pairs_loss": 0.11288230121135712,
      "eval_xsum-pairs_runtime": 3.1424,
      "eval_xsum-pairs_samples_per_second": 40.734,
      "eval_xsum-pairs_steps_per_second": 0.318,
      "step": 785
    },
    {
      "epoch": 0.5019181585677749,
      "eval_sciq_pairs_loss": 0.062423791736364365,
      "eval_sciq_pairs_runtime": 4.3404,
      "eval_sciq_pairs_samples_per_second": 29.491,
      "eval_sciq_pairs_steps_per_second": 0.23,
      "step": 785
    },
    {
      "epoch": 0.5019181585677749,
      "eval_qasc_pairs_loss": 0.0833595022559166,
      "eval_qasc_pairs_runtime": 2.153,
      "eval_qasc_pairs_samples_per_second": 59.453,
      "eval_qasc_pairs_steps_per_second": 0.464,
      "step": 785
    },
    {
      "epoch": 0.5019181585677749,
      "eval_openbookqa_pairs_loss": 0.47392797470092773,
      "eval_openbookqa_pairs_runtime": 2.286,
      "eval_openbookqa_pairs_samples_per_second": 55.994,
      "eval_openbookqa_pairs_steps_per_second": 0.437,
      "step": 785
    },
    {
      "epoch": 0.5019181585677749,
      "eval_msmarco_pairs_loss": 0.1399916559457779,
      "eval_msmarco_pairs_runtime": 2.3254,
      "eval_msmarco_pairs_samples_per_second": 55.045,
      "eval_msmarco_pairs_steps_per_second": 0.43,
      "step": 785
    },
    {
      "epoch": 0.5019181585677749,
      "eval_nq_pairs_loss": 0.2359679490327835,
      "eval_nq_pairs_runtime": 3.3719,
      "eval_nq_pairs_samples_per_second": 37.961,
      "eval_nq_pairs_steps_per_second": 0.297,
      "step": 785
    },
    {
      "epoch": 0.5019181585677749,
      "eval_trivia_pairs_loss": 0.3237164318561554,
      "eval_trivia_pairs_runtime": 3.3441,
      "eval_trivia_pairs_samples_per_second": 38.276,
      "eval_trivia_pairs_steps_per_second": 0.299,
      "step": 785
    },
    {
      "epoch": 0.5019181585677749,
      "eval_gooaq_pairs_loss": 0.2629774510860443,
      "eval_gooaq_pairs_runtime": 2.1943,
      "eval_gooaq_pairs_samples_per_second": 58.333,
      "eval_gooaq_pairs_steps_per_second": 0.456,
      "step": 785
    },
    {
      "epoch": 0.5019181585677749,
      "eval_paws-pos_loss": 0.02829882688820362,
      "eval_paws-pos_runtime": 2.3487,
      "eval_paws-pos_samples_per_second": 54.497,
      "eval_paws-pos_steps_per_second": 0.426,
      "step": 785
    },
    {
      "epoch": 0.5019181585677749,
      "eval_global_dataset_loss": 0.24213480949401855,
      "eval_global_dataset_runtime": 8.8463,
      "eval_global_dataset_samples_per_second": 36.738,
      "eval_global_dataset_steps_per_second": 0.339,
      "step": 785
    }
  ],
  "logging_steps": 16,
  "max_steps": 3128,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 2,
  "save_steps": 157,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": false
      },
      "attributes": {}
    }
  },
  "total_flos": 0.0,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}