TinyPixel commited on
Commit
c2a39ba
·
1 Parent(s): a297a38

Upload folder using huggingface_hub

Browse files
Files changed (6) hide show
  1. adapter_model.bin +1 -1
  2. optimizer.pt +1 -1
  3. rng_state.pth +1 -1
  4. scheduler.pt +1 -1
  5. trainer_state.json +605 -305
  6. training_args.bin +1 -1
adapter_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e4ac17905d11743731aa5916a8cb914004fed7e7fe48d6a44fb8d7510be4726b
3
  size 134264397
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:93a30f61e5fbb4a25273b717391023835280053d423d6489c01d5ddc8d7b7d0d
3
  size 134264397
optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:5398a7ca15848f459c2b3fc626b22b7736a912a760ecda6629a63f85a11d02e2
3
  size 268514565
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8fa8fee6459bb8d817ae17c9ae33c801a2e6dc4143b0ad8fd9c7003148e42614
3
  size 268514565
rng_state.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1d66d8a4cb52fa2ccc11ba839fd1addd3d53bc2453320560122d1405e7014e60
3
  size 14575
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:821c4546f597ea5171ca2fa44a12bd6a3f1f48ff679e450e8975a8e8bc5224ef
3
  size 14575
scheduler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e2c1b52c97a7a8218f3e120cb3e6f62943bb3c9d99f61adb685463e5b497c02d
3
  size 627
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:468a8363eb81d314ece26266458e95441c269841fe873ca22d23f675428e66a4
3
  size 627
trainer_state.json CHANGED
@@ -1,919 +1,1219 @@
1
  {
2
  "best_metric": null,
3
  "best_model_checkpoint": null,
4
- "epoch": 0.13220955214014213,
5
  "eval_steps": 500,
6
- "global_step": 300,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
10
  "log_history": [
11
  {
12
- "epoch": 0.0,
13
  "learning_rate": 2e-05,
14
- "loss": 1.827,
15
  "step": 2
16
  },
17
  {
18
- "epoch": 0.0,
19
  "learning_rate": 2e-05,
20
- "loss": 1.6735,
21
  "step": 4
22
  },
23
  {
24
- "epoch": 0.0,
25
  "learning_rate": 2e-05,
26
- "loss": 1.4766,
27
  "step": 6
28
  },
29
  {
30
- "epoch": 0.0,
31
  "learning_rate": 2e-05,
32
- "loss": 1.6915,
33
  "step": 8
34
  },
35
  {
36
- "epoch": 0.0,
37
  "learning_rate": 2e-05,
38
- "loss": 1.8343,
39
  "step": 10
40
  },
41
  {
42
- "epoch": 0.01,
43
  "learning_rate": 2e-05,
44
- "loss": 1.7773,
45
  "step": 12
46
  },
47
  {
48
- "epoch": 0.01,
49
  "learning_rate": 2e-05,
50
- "loss": 1.8827,
51
  "step": 14
52
  },
53
  {
54
- "epoch": 0.01,
55
  "learning_rate": 2e-05,
56
- "loss": 1.9619,
57
  "step": 16
58
  },
59
  {
60
- "epoch": 0.01,
61
  "learning_rate": 2e-05,
62
- "loss": 1.649,
63
  "step": 18
64
  },
65
  {
66
- "epoch": 0.01,
67
  "learning_rate": 2e-05,
68
- "loss": 1.9362,
69
  "step": 20
70
  },
71
  {
72
- "epoch": 0.01,
73
  "learning_rate": 2e-05,
74
- "loss": 1.8436,
75
  "step": 22
76
  },
77
  {
78
- "epoch": 0.01,
79
  "learning_rate": 2e-05,
80
- "loss": 1.7926,
81
  "step": 24
82
  },
83
  {
84
- "epoch": 0.01,
85
  "learning_rate": 2e-05,
86
- "loss": 1.7459,
87
  "step": 26
88
  },
89
  {
90
- "epoch": 0.01,
91
  "learning_rate": 2e-05,
92
- "loss": 1.5901,
93
  "step": 28
94
  },
95
  {
96
- "epoch": 0.01,
97
  "learning_rate": 2e-05,
98
- "loss": 1.8599,
99
  "step": 30
100
  },
101
  {
102
- "epoch": 0.01,
103
  "learning_rate": 2e-05,
104
- "loss": 1.6074,
105
  "step": 32
106
  },
107
  {
108
- "epoch": 0.01,
109
  "learning_rate": 2e-05,
110
- "loss": 1.7844,
111
  "step": 34
112
  },
113
  {
114
- "epoch": 0.02,
115
  "learning_rate": 2e-05,
116
- "loss": 1.9763,
117
  "step": 36
118
  },
119
  {
120
- "epoch": 0.02,
121
  "learning_rate": 2e-05,
122
- "loss": 1.7219,
123
  "step": 38
124
  },
125
  {
126
- "epoch": 0.02,
127
  "learning_rate": 2e-05,
128
- "loss": 2.1424,
129
  "step": 40
130
  },
131
  {
132
- "epoch": 0.02,
133
  "learning_rate": 2e-05,
134
- "loss": 2.3718,
135
  "step": 42
136
  },
137
  {
138
- "epoch": 0.02,
139
  "learning_rate": 2e-05,
140
- "loss": 2.6136,
141
  "step": 44
142
  },
143
  {
144
- "epoch": 0.02,
145
  "learning_rate": 2e-05,
146
- "loss": 2.6488,
147
  "step": 46
148
  },
149
  {
150
- "epoch": 0.02,
151
  "learning_rate": 2e-05,
152
- "loss": 2.5294,
153
  "step": 48
154
  },
155
  {
156
- "epoch": 0.02,
157
  "learning_rate": 2e-05,
158
- "loss": 2.628,
159
  "step": 50
160
  },
161
  {
162
- "epoch": 0.02,
163
  "learning_rate": 2e-05,
164
- "loss": 1.8985,
165
  "step": 52
166
  },
167
  {
168
- "epoch": 0.02,
169
  "learning_rate": 2e-05,
170
- "loss": 1.8064,
171
  "step": 54
172
  },
173
  {
174
- "epoch": 0.02,
175
  "learning_rate": 2e-05,
176
- "loss": 1.4602,
177
  "step": 56
178
  },
179
  {
180
- "epoch": 0.03,
181
  "learning_rate": 2e-05,
182
- "loss": 1.5978,
183
  "step": 58
184
  },
185
  {
186
- "epoch": 0.03,
187
  "learning_rate": 2e-05,
188
- "loss": 1.6243,
189
  "step": 60
190
  },
191
  {
192
- "epoch": 0.03,
193
  "learning_rate": 2e-05,
194
- "loss": 1.578,
195
  "step": 62
196
  },
197
  {
198
- "epoch": 0.03,
199
  "learning_rate": 2e-05,
200
- "loss": 1.6195,
201
  "step": 64
202
  },
203
  {
204
- "epoch": 0.03,
205
  "learning_rate": 2e-05,
206
- "loss": 1.7878,
207
  "step": 66
208
  },
209
  {
210
- "epoch": 0.03,
211
  "learning_rate": 2e-05,
212
- "loss": 1.6071,
213
  "step": 68
214
  },
215
  {
216
- "epoch": 0.03,
217
  "learning_rate": 2e-05,
218
- "loss": 1.5648,
219
  "step": 70
220
  },
221
  {
222
- "epoch": 0.03,
223
  "learning_rate": 2e-05,
224
- "loss": 1.467,
225
  "step": 72
226
  },
227
  {
228
- "epoch": 0.03,
229
  "learning_rate": 2e-05,
230
- "loss": 1.4139,
231
  "step": 74
232
  },
233
  {
234
- "epoch": 0.03,
235
  "learning_rate": 2e-05,
236
- "loss": 1.4341,
237
  "step": 76
238
  },
239
  {
240
- "epoch": 0.03,
241
  "learning_rate": 2e-05,
242
- "loss": 1.4279,
243
  "step": 78
244
  },
245
  {
246
- "epoch": 0.04,
247
  "learning_rate": 2e-05,
248
- "loss": 1.457,
249
  "step": 80
250
  },
251
  {
252
- "epoch": 0.04,
253
  "learning_rate": 2e-05,
254
- "loss": 1.3495,
255
  "step": 82
256
  },
257
  {
258
- "epoch": 0.04,
259
  "learning_rate": 2e-05,
260
- "loss": 1.5257,
261
  "step": 84
262
  },
263
  {
264
- "epoch": 0.04,
265
  "learning_rate": 2e-05,
266
- "loss": 1.6493,
267
  "step": 86
268
  },
269
  {
270
- "epoch": 0.04,
271
  "learning_rate": 2e-05,
272
- "loss": 1.6777,
273
  "step": 88
274
  },
275
  {
276
- "epoch": 0.04,
277
  "learning_rate": 2e-05,
278
- "loss": 1.6922,
279
  "step": 90
280
  },
281
  {
282
- "epoch": 0.04,
283
  "learning_rate": 2e-05,
284
- "loss": 1.874,
285
  "step": 92
286
  },
287
  {
288
- "epoch": 0.04,
289
  "learning_rate": 2e-05,
290
- "loss": 2.2485,
291
  "step": 94
292
  },
293
  {
294
- "epoch": 0.04,
295
  "learning_rate": 2e-05,
296
- "loss": 2.1628,
297
  "step": 96
298
  },
299
  {
300
- "epoch": 0.04,
301
  "learning_rate": 2e-05,
302
- "loss": 2.1343,
303
  "step": 98
304
  },
305
  {
306
- "epoch": 0.04,
307
  "learning_rate": 2e-05,
308
- "loss": 2.1377,
309
  "step": 100
310
  },
311
  {
312
- "epoch": 0.04,
313
  "learning_rate": 2e-05,
314
- "loss": 1.6606,
315
  "step": 102
316
  },
317
  {
318
- "epoch": 0.05,
319
  "learning_rate": 2e-05,
320
- "loss": 1.6934,
321
  "step": 104
322
  },
323
  {
324
- "epoch": 0.05,
325
  "learning_rate": 2e-05,
326
- "loss": 1.2332,
327
  "step": 106
328
  },
329
  {
330
- "epoch": 0.05,
331
  "learning_rate": 2e-05,
332
- "loss": 1.4477,
333
  "step": 108
334
  },
335
  {
336
- "epoch": 0.05,
337
  "learning_rate": 2e-05,
338
- "loss": 1.577,
339
  "step": 110
340
  },
341
  {
342
- "epoch": 0.05,
343
  "learning_rate": 2e-05,
344
- "loss": 1.7341,
345
  "step": 112
346
  },
347
  {
348
- "epoch": 0.05,
349
  "learning_rate": 2e-05,
350
- "loss": 1.7198,
351
  "step": 114
352
  },
353
  {
354
- "epoch": 0.05,
355
  "learning_rate": 2e-05,
356
- "loss": 1.6299,
357
  "step": 116
358
  },
359
  {
360
- "epoch": 0.05,
361
  "learning_rate": 2e-05,
362
- "loss": 1.6074,
363
  "step": 118
364
  },
365
  {
366
- "epoch": 0.05,
367
  "learning_rate": 2e-05,
368
- "loss": 1.5851,
369
  "step": 120
370
  },
371
  {
372
- "epoch": 0.05,
373
  "learning_rate": 2e-05,
374
- "loss": 1.6355,
375
  "step": 122
376
  },
377
  {
378
- "epoch": 0.05,
379
  "learning_rate": 2e-05,
380
- "loss": 1.3311,
381
  "step": 124
382
  },
383
  {
384
- "epoch": 0.06,
385
  "learning_rate": 2e-05,
386
- "loss": 1.3758,
387
  "step": 126
388
  },
389
  {
390
- "epoch": 0.06,
391
  "learning_rate": 2e-05,
392
- "loss": 1.4829,
393
  "step": 128
394
  },
395
  {
396
- "epoch": 0.06,
397
  "learning_rate": 2e-05,
398
- "loss": 1.382,
399
  "step": 130
400
  },
401
  {
402
- "epoch": 0.06,
403
  "learning_rate": 2e-05,
404
- "loss": 1.4043,
405
  "step": 132
406
  },
407
  {
408
- "epoch": 0.06,
409
  "learning_rate": 2e-05,
410
- "loss": 1.4347,
411
  "step": 134
412
  },
413
  {
414
- "epoch": 0.06,
415
  "learning_rate": 2e-05,
416
- "loss": 1.4443,
417
  "step": 136
418
  },
419
  {
420
- "epoch": 0.06,
421
  "learning_rate": 2e-05,
422
- "loss": 1.5421,
423
  "step": 138
424
  },
425
  {
426
- "epoch": 0.06,
427
  "learning_rate": 2e-05,
428
- "loss": 1.791,
429
  "step": 140
430
  },
431
  {
432
- "epoch": 0.06,
433
  "learning_rate": 2e-05,
434
- "loss": 1.8067,
435
  "step": 142
436
  },
437
  {
438
- "epoch": 0.06,
439
  "learning_rate": 2e-05,
440
- "loss": 1.9289,
441
  "step": 144
442
  },
443
  {
444
- "epoch": 0.06,
445
  "learning_rate": 2e-05,
446
- "loss": 2.2575,
447
  "step": 146
448
  },
449
  {
450
- "epoch": 0.07,
451
  "learning_rate": 2e-05,
452
- "loss": 2.0206,
453
  "step": 148
454
  },
455
  {
456
- "epoch": 0.07,
457
  "learning_rate": 2e-05,
458
- "loss": 2.1199,
459
  "step": 150
460
  },
461
  {
462
- "epoch": 0.07,
463
  "learning_rate": 2e-05,
464
- "loss": 1.9023,
465
  "step": 152
466
  },
467
  {
468
- "epoch": 0.07,
469
  "learning_rate": 2e-05,
470
- "loss": 1.4398,
471
  "step": 154
472
  },
473
  {
474
- "epoch": 0.07,
475
  "learning_rate": 2e-05,
476
- "loss": 1.4766,
477
  "step": 156
478
  },
479
  {
480
- "epoch": 0.07,
481
  "learning_rate": 2e-05,
482
- "loss": 1.5258,
483
  "step": 158
484
  },
485
  {
486
- "epoch": 0.07,
487
  "learning_rate": 2e-05,
488
- "loss": 1.4625,
489
  "step": 160
490
  },
491
  {
492
- "epoch": 0.07,
493
  "learning_rate": 2e-05,
494
- "loss": 1.8697,
495
  "step": 162
496
  },
497
  {
498
- "epoch": 0.07,
499
  "learning_rate": 2e-05,
500
- "loss": 1.7221,
501
  "step": 164
502
  },
503
  {
504
- "epoch": 0.07,
505
  "learning_rate": 2e-05,
506
- "loss": 1.4777,
507
  "step": 166
508
  },
509
  {
510
- "epoch": 0.07,
511
  "learning_rate": 2e-05,
512
- "loss": 1.6155,
513
  "step": 168
514
  },
515
  {
516
- "epoch": 0.07,
517
  "learning_rate": 2e-05,
518
- "loss": 1.4447,
519
  "step": 170
520
  },
521
  {
522
- "epoch": 0.08,
523
  "learning_rate": 2e-05,
524
- "loss": 1.3786,
525
  "step": 172
526
  },
527
  {
528
- "epoch": 0.08,
529
  "learning_rate": 2e-05,
530
- "loss": 1.4162,
531
  "step": 174
532
  },
533
  {
534
- "epoch": 0.08,
535
  "learning_rate": 2e-05,
536
- "loss": 1.3207,
537
  "step": 176
538
  },
539
  {
540
- "epoch": 0.08,
541
  "learning_rate": 2e-05,
542
- "loss": 1.3091,
543
  "step": 178
544
  },
545
  {
546
- "epoch": 0.08,
547
  "learning_rate": 2e-05,
548
- "loss": 1.5184,
549
  "step": 180
550
  },
551
  {
552
- "epoch": 0.08,
553
  "learning_rate": 2e-05,
554
- "loss": 1.4117,
555
  "step": 182
556
  },
557
  {
558
- "epoch": 0.08,
559
  "learning_rate": 2e-05,
560
- "loss": 1.4922,
561
  "step": 184
562
  },
563
  {
564
- "epoch": 0.08,
565
  "learning_rate": 2e-05,
566
- "loss": 1.4994,
567
  "step": 186
568
  },
569
  {
570
- "epoch": 0.08,
571
  "learning_rate": 2e-05,
572
- "loss": 1.5943,
573
  "step": 188
574
  },
575
  {
576
- "epoch": 0.08,
577
  "learning_rate": 2e-05,
578
- "loss": 1.7324,
579
  "step": 190
580
  },
581
  {
582
- "epoch": 0.08,
583
  "learning_rate": 2e-05,
584
- "loss": 1.8203,
585
  "step": 192
586
  },
587
  {
588
- "epoch": 0.09,
589
  "learning_rate": 2e-05,
590
- "loss": 2.1977,
591
  "step": 194
592
  },
593
  {
594
- "epoch": 0.09,
595
  "learning_rate": 2e-05,
596
- "loss": 2.2327,
597
  "step": 196
598
  },
599
  {
600
- "epoch": 0.09,
601
  "learning_rate": 2e-05,
602
- "loss": 1.9701,
603
  "step": 198
604
  },
605
  {
606
- "epoch": 0.09,
607
  "learning_rate": 2e-05,
608
- "loss": 2.0476,
609
  "step": 200
610
  },
611
  {
612
- "epoch": 0.09,
613
  "learning_rate": 2e-05,
614
- "loss": 1.9657,
615
  "step": 202
616
  },
617
  {
618
- "epoch": 0.09,
619
  "learning_rate": 2e-05,
620
- "loss": 1.5043,
621
  "step": 204
622
  },
623
  {
624
- "epoch": 0.09,
625
  "learning_rate": 2e-05,
626
- "loss": 1.2819,
627
  "step": 206
628
  },
629
  {
630
- "epoch": 0.09,
631
  "learning_rate": 2e-05,
632
- "loss": 1.3992,
633
  "step": 208
634
  },
635
  {
636
- "epoch": 0.09,
637
  "learning_rate": 2e-05,
638
- "loss": 1.7253,
639
  "step": 210
640
  },
641
  {
642
- "epoch": 0.09,
643
  "learning_rate": 2e-05,
644
- "loss": 1.7231,
645
  "step": 212
646
  },
647
  {
648
- "epoch": 0.09,
649
  "learning_rate": 2e-05,
650
- "loss": 1.7402,
651
  "step": 214
652
  },
653
  {
654
- "epoch": 0.1,
655
  "learning_rate": 2e-05,
656
- "loss": 1.6367,
657
  "step": 216
658
  },
659
  {
660
- "epoch": 0.1,
661
  "learning_rate": 2e-05,
662
- "loss": 1.5625,
663
  "step": 218
664
  },
665
  {
666
- "epoch": 0.1,
667
  "learning_rate": 2e-05,
668
- "loss": 1.4227,
669
  "step": 220
670
  },
671
  {
672
- "epoch": 0.1,
673
  "learning_rate": 2e-05,
674
- "loss": 1.2991,
675
  "step": 222
676
  },
677
  {
678
- "epoch": 0.1,
679
  "learning_rate": 2e-05,
680
- "loss": 1.2933,
681
  "step": 224
682
  },
683
  {
684
- "epoch": 0.1,
685
  "learning_rate": 2e-05,
686
- "loss": 1.4223,
687
  "step": 226
688
  },
689
  {
690
- "epoch": 0.1,
691
  "learning_rate": 2e-05,
692
- "loss": 1.2852,
693
  "step": 228
694
  },
695
  {
696
- "epoch": 0.1,
697
  "learning_rate": 2e-05,
698
- "loss": 1.3548,
699
  "step": 230
700
  },
701
  {
702
- "epoch": 0.1,
703
  "learning_rate": 2e-05,
704
- "loss": 1.2497,
705
  "step": 232
706
  },
707
  {
708
- "epoch": 0.1,
709
  "learning_rate": 2e-05,
710
- "loss": 1.5737,
711
  "step": 234
712
  },
713
  {
714
- "epoch": 0.1,
715
  "learning_rate": 2e-05,
716
- "loss": 1.382,
717
  "step": 236
718
  },
719
  {
720
- "epoch": 0.1,
721
  "learning_rate": 2e-05,
722
- "loss": 1.5346,
723
  "step": 238
724
  },
725
  {
726
- "epoch": 0.11,
727
  "learning_rate": 2e-05,
728
- "loss": 1.7756,
729
  "step": 240
730
  },
731
  {
732
- "epoch": 0.11,
733
  "learning_rate": 2e-05,
734
- "loss": 1.9541,
735
  "step": 242
736
  },
737
  {
738
- "epoch": 0.11,
739
  "learning_rate": 2e-05,
740
- "loss": 2.2106,
741
  "step": 244
742
  },
743
  {
744
- "epoch": 0.11,
745
  "learning_rate": 2e-05,
746
- "loss": 2.0785,
747
  "step": 246
748
  },
749
  {
750
- "epoch": 0.11,
751
  "learning_rate": 2e-05,
752
- "loss": 1.8988,
753
  "step": 248
754
  },
755
  {
756
- "epoch": 0.11,
757
  "learning_rate": 2e-05,
758
- "loss": 1.86,
759
  "step": 250
760
  },
761
  {
762
- "epoch": 0.11,
763
  "learning_rate": 2e-05,
764
- "loss": 1.8264,
765
  "step": 252
766
  },
767
  {
768
- "epoch": 0.11,
769
  "learning_rate": 2e-05,
770
- "loss": 1.7554,
771
  "step": 254
772
  },
773
  {
774
- "epoch": 0.11,
775
  "learning_rate": 2e-05,
776
- "loss": 1.299,
777
  "step": 256
778
  },
779
  {
780
- "epoch": 0.11,
781
  "learning_rate": 2e-05,
782
- "loss": 1.308,
783
  "step": 258
784
  },
785
  {
786
- "epoch": 0.11,
787
  "learning_rate": 2e-05,
788
- "loss": 1.5583,
789
  "step": 260
790
  },
791
  {
792
- "epoch": 0.12,
793
  "learning_rate": 2e-05,
794
- "loss": 1.5724,
795
  "step": 262
796
  },
797
  {
798
- "epoch": 0.12,
799
  "learning_rate": 2e-05,
800
- "loss": 1.7012,
801
  "step": 264
802
  },
803
  {
804
- "epoch": 0.12,
805
  "learning_rate": 2e-05,
806
- "loss": 1.7865,
807
  "step": 266
808
  },
809
  {
810
- "epoch": 0.12,
811
  "learning_rate": 2e-05,
812
- "loss": 1.7213,
813
  "step": 268
814
  },
815
  {
816
- "epoch": 0.12,
817
  "learning_rate": 2e-05,
818
- "loss": 1.4527,
819
  "step": 270
820
  },
821
  {
822
- "epoch": 0.12,
823
  "learning_rate": 2e-05,
824
- "loss": 1.4603,
825
  "step": 272
826
  },
827
  {
828
- "epoch": 0.12,
829
  "learning_rate": 2e-05,
830
- "loss": 1.3805,
831
  "step": 274
832
  },
833
  {
834
- "epoch": 0.12,
835
  "learning_rate": 2e-05,
836
- "loss": 1.3234,
837
  "step": 276
838
  },
839
  {
840
- "epoch": 0.12,
841
  "learning_rate": 2e-05,
842
- "loss": 1.218,
843
  "step": 278
844
  },
845
  {
846
- "epoch": 0.12,
847
  "learning_rate": 2e-05,
848
- "loss": 1.3068,
849
  "step": 280
850
  },
851
  {
852
- "epoch": 0.12,
853
  "learning_rate": 2e-05,
854
- "loss": 1.2737,
855
  "step": 282
856
  },
857
  {
858
- "epoch": 0.13,
859
  "learning_rate": 2e-05,
860
- "loss": 1.3863,
861
  "step": 284
862
  },
863
  {
864
- "epoch": 0.13,
865
  "learning_rate": 2e-05,
866
- "loss": 1.3745,
867
  "step": 286
868
  },
869
  {
870
- "epoch": 0.13,
871
  "learning_rate": 2e-05,
872
- "loss": 1.5121,
873
  "step": 288
874
  },
875
  {
876
- "epoch": 0.13,
877
  "learning_rate": 2e-05,
878
- "loss": 1.6826,
879
  "step": 290
880
  },
881
  {
882
- "epoch": 0.13,
883
  "learning_rate": 2e-05,
884
- "loss": 1.8043,
885
  "step": 292
886
  },
887
  {
888
- "epoch": 0.13,
889
  "learning_rate": 2e-05,
890
- "loss": 2.1077,
891
  "step": 294
892
  },
893
  {
894
- "epoch": 0.13,
895
  "learning_rate": 2e-05,
896
- "loss": 2.1364,
897
  "step": 296
898
  },
899
  {
900
- "epoch": 0.13,
901
  "learning_rate": 2e-05,
902
- "loss": 1.9274,
903
  "step": 298
904
  },
905
  {
906
- "epoch": 0.13,
907
  "learning_rate": 2e-05,
908
- "loss": 1.9239,
909
  "step": 300
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
910
  }
911
  ],
912
  "logging_steps": 2,
913
- "max_steps": 6807,
914
- "num_train_epochs": 3,
915
  "save_steps": 50,
916
- "total_flos": 5917478672695296.0,
917
  "trial_name": null,
918
  "trial_params": null
919
  }
 
1
  {
2
  "best_metric": null,
3
  "best_model_checkpoint": null,
4
+ "epoch": 6.213592233009709,
5
  "eval_steps": 500,
6
+ "global_step": 400,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
10
  "log_history": [
11
  {
12
+ "epoch": 0.03,
13
  "learning_rate": 2e-05,
14
+ "loss": 2.2494,
15
  "step": 2
16
  },
17
  {
18
+ "epoch": 0.06,
19
  "learning_rate": 2e-05,
20
+ "loss": 2.4466,
21
  "step": 4
22
  },
23
  {
24
+ "epoch": 0.09,
25
  "learning_rate": 2e-05,
26
+ "loss": 2.3152,
27
  "step": 6
28
  },
29
  {
30
+ "epoch": 0.12,
31
  "learning_rate": 2e-05,
32
+ "loss": 2.5122,
33
  "step": 8
34
  },
35
  {
36
+ "epoch": 0.16,
37
  "learning_rate": 2e-05,
38
+ "loss": 2.5264,
39
  "step": 10
40
  },
41
  {
42
+ "epoch": 0.19,
43
  "learning_rate": 2e-05,
44
+ "loss": 2.6302,
45
  "step": 12
46
  },
47
  {
48
+ "epoch": 0.22,
49
  "learning_rate": 2e-05,
50
+ "loss": 2.5884,
51
  "step": 14
52
  },
53
  {
54
+ "epoch": 0.25,
55
  "learning_rate": 2e-05,
56
+ "loss": 2.7946,
57
  "step": 16
58
  },
59
  {
60
+ "epoch": 0.28,
61
  "learning_rate": 2e-05,
62
+ "loss": 2.225,
63
  "step": 18
64
  },
65
  {
66
+ "epoch": 0.31,
67
  "learning_rate": 2e-05,
68
+ "loss": 2.2664,
69
  "step": 20
70
  },
71
  {
72
+ "epoch": 0.34,
73
  "learning_rate": 2e-05,
74
+ "loss": 2.2615,
75
  "step": 22
76
  },
77
  {
78
+ "epoch": 0.37,
79
  "learning_rate": 2e-05,
80
+ "loss": 2.512,
81
  "step": 24
82
  },
83
  {
84
+ "epoch": 0.4,
85
  "learning_rate": 2e-05,
86
+ "loss": 2.5109,
87
  "step": 26
88
  },
89
  {
90
+ "epoch": 0.43,
91
  "learning_rate": 2e-05,
92
+ "loss": 2.6313,
93
  "step": 28
94
  },
95
  {
96
+ "epoch": 0.47,
97
  "learning_rate": 2e-05,
98
+ "loss": 2.52,
99
  "step": 30
100
  },
101
  {
102
+ "epoch": 0.5,
103
  "learning_rate": 2e-05,
104
+ "loss": 2.7512,
105
  "step": 32
106
  },
107
  {
108
+ "epoch": 0.53,
109
  "learning_rate": 2e-05,
110
+ "loss": 2.1879,
111
  "step": 34
112
  },
113
  {
114
+ "epoch": 0.56,
115
  "learning_rate": 2e-05,
116
+ "loss": 2.3931,
117
  "step": 36
118
  },
119
  {
120
+ "epoch": 0.59,
121
  "learning_rate": 2e-05,
122
+ "loss": 2.4225,
123
  "step": 38
124
  },
125
  {
126
+ "epoch": 0.62,
127
  "learning_rate": 2e-05,
128
+ "loss": 2.4489,
129
  "step": 40
130
  },
131
  {
132
+ "epoch": 0.65,
133
  "learning_rate": 2e-05,
134
+ "loss": 2.5274,
135
  "step": 42
136
  },
137
  {
138
+ "epoch": 0.68,
139
  "learning_rate": 2e-05,
140
+ "loss": 2.4207,
141
  "step": 44
142
  },
143
  {
144
+ "epoch": 0.71,
145
  "learning_rate": 2e-05,
146
+ "loss": 2.411,
147
  "step": 46
148
  },
149
  {
150
+ "epoch": 0.75,
151
  "learning_rate": 2e-05,
152
+ "loss": 2.4183,
153
  "step": 48
154
  },
155
  {
156
+ "epoch": 0.78,
157
  "learning_rate": 2e-05,
158
+ "loss": 2.2358,
159
  "step": 50
160
  },
161
  {
162
+ "epoch": 0.81,
163
  "learning_rate": 2e-05,
164
+ "loss": 2.3241,
165
  "step": 52
166
  },
167
  {
168
+ "epoch": 0.84,
169
  "learning_rate": 2e-05,
170
+ "loss": 2.3889,
171
  "step": 54
172
  },
173
  {
174
+ "epoch": 0.87,
175
  "learning_rate": 2e-05,
176
+ "loss": 2.3452,
177
  "step": 56
178
  },
179
  {
180
+ "epoch": 0.9,
181
  "learning_rate": 2e-05,
182
+ "loss": 2.436,
183
  "step": 58
184
  },
185
  {
186
+ "epoch": 0.93,
187
  "learning_rate": 2e-05,
188
+ "loss": 2.399,
189
  "step": 60
190
  },
191
  {
192
+ "epoch": 0.96,
193
  "learning_rate": 2e-05,
194
+ "loss": 2.4952,
195
  "step": 62
196
  },
197
  {
198
+ "epoch": 0.99,
199
  "learning_rate": 2e-05,
200
+ "loss": 2.2957,
201
  "step": 64
202
  },
203
  {
204
+ "epoch": 1.03,
205
  "learning_rate": 2e-05,
206
+ "loss": 2.2393,
207
  "step": 66
208
  },
209
  {
210
+ "epoch": 1.06,
211
  "learning_rate": 2e-05,
212
+ "loss": 2.2144,
213
  "step": 68
214
  },
215
  {
216
+ "epoch": 1.09,
217
  "learning_rate": 2e-05,
218
+ "loss": 2.2441,
219
  "step": 70
220
  },
221
  {
222
+ "epoch": 1.12,
223
  "learning_rate": 2e-05,
224
+ "loss": 2.3591,
225
  "step": 72
226
  },
227
  {
228
+ "epoch": 1.15,
229
  "learning_rate": 2e-05,
230
+ "loss": 2.5018,
231
  "step": 74
232
  },
233
  {
234
+ "epoch": 1.18,
235
  "learning_rate": 2e-05,
236
+ "loss": 2.3037,
237
  "step": 76
238
  },
239
  {
240
+ "epoch": 1.21,
241
  "learning_rate": 2e-05,
242
+ "loss": 2.4392,
243
  "step": 78
244
  },
245
  {
246
+ "epoch": 1.24,
247
  "learning_rate": 2e-05,
248
+ "loss": 2.1733,
249
  "step": 80
250
  },
251
  {
252
+ "epoch": 1.27,
253
  "learning_rate": 2e-05,
254
+ "loss": 2.1064,
255
  "step": 82
256
  },
257
  {
258
+ "epoch": 1.3,
259
  "learning_rate": 2e-05,
260
+ "loss": 2.2014,
261
  "step": 84
262
  },
263
  {
264
+ "epoch": 1.34,
265
  "learning_rate": 2e-05,
266
+ "loss": 2.3184,
267
  "step": 86
268
  },
269
  {
270
+ "epoch": 1.37,
271
  "learning_rate": 2e-05,
272
+ "loss": 2.3046,
273
  "step": 88
274
  },
275
  {
276
+ "epoch": 1.4,
277
  "learning_rate": 2e-05,
278
+ "loss": 2.3834,
279
  "step": 90
280
  },
281
  {
282
+ "epoch": 1.43,
283
  "learning_rate": 2e-05,
284
+ "loss": 2.3782,
285
  "step": 92
286
  },
287
  {
288
+ "epoch": 1.46,
289
  "learning_rate": 2e-05,
290
+ "loss": 2.3654,
291
  "step": 94
292
  },
293
  {
294
+ "epoch": 1.49,
295
  "learning_rate": 2e-05,
296
+ "loss": 2.4011,
297
  "step": 96
298
  },
299
  {
300
+ "epoch": 1.52,
301
  "learning_rate": 2e-05,
302
+ "loss": 2.2994,
303
  "step": 98
304
  },
305
  {
306
+ "epoch": 1.55,
307
  "learning_rate": 2e-05,
308
+ "loss": 2.1839,
309
  "step": 100
310
  },
311
  {
312
+ "epoch": 1.58,
313
  "learning_rate": 2e-05,
314
+ "loss": 2.2918,
315
  "step": 102
316
  },
317
  {
318
+ "epoch": 1.62,
319
  "learning_rate": 2e-05,
320
+ "loss": 2.3615,
321
  "step": 104
322
  },
323
  {
324
+ "epoch": 1.65,
325
  "learning_rate": 2e-05,
326
+ "loss": 2.4428,
327
  "step": 106
328
  },
329
  {
330
+ "epoch": 1.68,
331
  "learning_rate": 2e-05,
332
+ "loss": 2.5107,
333
  "step": 108
334
  },
335
  {
336
+ "epoch": 1.71,
337
  "learning_rate": 2e-05,
338
+ "loss": 2.4229,
339
  "step": 110
340
  },
341
  {
342
+ "epoch": 1.74,
343
  "learning_rate": 2e-05,
344
+ "loss": 2.3421,
345
  "step": 112
346
  },
347
  {
348
+ "epoch": 1.77,
349
  "learning_rate": 2e-05,
350
+ "loss": 2.2717,
351
  "step": 114
352
  },
353
  {
354
+ "epoch": 1.8,
355
  "learning_rate": 2e-05,
356
+ "loss": 2.3186,
357
  "step": 116
358
  },
359
  {
360
+ "epoch": 1.83,
361
  "learning_rate": 2e-05,
362
+ "loss": 2.3741,
363
  "step": 118
364
  },
365
  {
366
+ "epoch": 1.86,
367
  "learning_rate": 2e-05,
368
+ "loss": 2.4266,
369
  "step": 120
370
  },
371
  {
372
+ "epoch": 1.9,
373
  "learning_rate": 2e-05,
374
+ "loss": 2.3664,
375
  "step": 122
376
  },
377
  {
378
+ "epoch": 1.93,
379
  "learning_rate": 2e-05,
380
+ "loss": 2.3648,
381
  "step": 124
382
  },
383
  {
384
+ "epoch": 1.96,
385
  "learning_rate": 2e-05,
386
+ "loss": 2.46,
387
  "step": 126
388
  },
389
  {
390
+ "epoch": 1.99,
391
  "learning_rate": 2e-05,
392
+ "loss": 2.3131,
393
  "step": 128
394
  },
395
  {
396
+ "epoch": 2.02,
397
  "learning_rate": 2e-05,
398
+ "loss": 2.0964,
399
  "step": 130
400
  },
401
  {
402
+ "epoch": 2.05,
403
  "learning_rate": 2e-05,
404
+ "loss": 2.2801,
405
  "step": 132
406
  },
407
  {
408
+ "epoch": 2.08,
409
  "learning_rate": 2e-05,
410
+ "loss": 2.359,
411
  "step": 134
412
  },
413
  {
414
+ "epoch": 2.11,
415
  "learning_rate": 2e-05,
416
+ "loss": 2.3463,
417
  "step": 136
418
  },
419
  {
420
+ "epoch": 2.14,
421
  "learning_rate": 2e-05,
422
+ "loss": 2.4564,
423
  "step": 138
424
  },
425
  {
426
+ "epoch": 2.17,
427
  "learning_rate": 2e-05,
428
+ "loss": 2.4293,
429
  "step": 140
430
  },
431
  {
432
+ "epoch": 2.21,
433
  "learning_rate": 2e-05,
434
+ "loss": 2.4778,
435
  "step": 142
436
  },
437
  {
438
+ "epoch": 2.24,
439
  "learning_rate": 2e-05,
440
+ "loss": 2.3895,
441
  "step": 144
442
  },
443
  {
444
+ "epoch": 2.27,
445
  "learning_rate": 2e-05,
446
+ "loss": 2.0723,
447
  "step": 146
448
  },
449
  {
450
+ "epoch": 2.3,
451
  "learning_rate": 2e-05,
452
+ "loss": 2.1716,
453
  "step": 148
454
  },
455
  {
456
+ "epoch": 2.33,
457
  "learning_rate": 2e-05,
458
+ "loss": 2.415,
459
  "step": 150
460
  },
461
  {
462
+ "epoch": 2.36,
463
  "learning_rate": 2e-05,
464
+ "loss": 2.2861,
465
  "step": 152
466
  },
467
  {
468
+ "epoch": 2.39,
469
  "learning_rate": 2e-05,
470
+ "loss": 2.2814,
471
  "step": 154
472
  },
473
  {
474
+ "epoch": 2.42,
475
  "learning_rate": 2e-05,
476
+ "loss": 2.3356,
477
  "step": 156
478
  },
479
  {
480
+ "epoch": 2.45,
481
  "learning_rate": 2e-05,
482
+ "loss": 2.4099,
483
  "step": 158
484
  },
485
  {
486
+ "epoch": 2.49,
487
  "learning_rate": 2e-05,
488
+ "loss": 2.3273,
489
  "step": 160
490
  },
491
  {
492
+ "epoch": 2.52,
493
  "learning_rate": 2e-05,
494
+ "loss": 2.1334,
495
  "step": 162
496
  },
497
  {
498
+ "epoch": 2.55,
499
  "learning_rate": 2e-05,
500
+ "loss": 2.2867,
501
  "step": 164
502
  },
503
  {
504
+ "epoch": 2.58,
505
  "learning_rate": 2e-05,
506
+ "loss": 2.3262,
507
  "step": 166
508
  },
509
  {
510
+ "epoch": 2.61,
511
  "learning_rate": 2e-05,
512
+ "loss": 2.136,
513
  "step": 168
514
  },
515
  {
516
+ "epoch": 2.64,
517
  "learning_rate": 2e-05,
518
+ "loss": 2.5637,
519
  "step": 170
520
  },
521
  {
522
+ "epoch": 2.67,
523
  "learning_rate": 2e-05,
524
+ "loss": 2.3448,
525
  "step": 172
526
  },
527
  {
528
+ "epoch": 2.7,
529
  "learning_rate": 2e-05,
530
+ "loss": 2.4034,
531
  "step": 174
532
  },
533
  {
534
+ "epoch": 2.73,
535
  "learning_rate": 2e-05,
536
+ "loss": 2.4131,
537
  "step": 176
538
  },
539
  {
540
+ "epoch": 2.77,
541
  "learning_rate": 2e-05,
542
+ "loss": 2.1349,
543
  "step": 178
544
  },
545
  {
546
+ "epoch": 2.8,
547
  "learning_rate": 2e-05,
548
+ "loss": 2.1883,
549
  "step": 180
550
  },
551
  {
552
+ "epoch": 2.83,
553
  "learning_rate": 2e-05,
554
+ "loss": 2.1888,
555
  "step": 182
556
  },
557
  {
558
+ "epoch": 2.86,
559
  "learning_rate": 2e-05,
560
+ "loss": 2.283,
561
  "step": 184
562
  },
563
  {
564
+ "epoch": 2.89,
565
  "learning_rate": 2e-05,
566
+ "loss": 2.5316,
567
  "step": 186
568
  },
569
  {
570
+ "epoch": 2.92,
571
  "learning_rate": 2e-05,
572
+ "loss": 2.2842,
573
  "step": 188
574
  },
575
  {
576
+ "epoch": 2.95,
577
  "learning_rate": 2e-05,
578
+ "loss": 2.1835,
579
  "step": 190
580
  },
581
  {
582
+ "epoch": 2.98,
583
  "learning_rate": 2e-05,
584
+ "loss": 2.2786,
585
  "step": 192
586
  },
587
  {
588
+ "epoch": 3.01,
589
  "learning_rate": 2e-05,
590
+ "loss": 2.31,
591
  "step": 194
592
  },
593
  {
594
+ "epoch": 3.04,
595
  "learning_rate": 2e-05,
596
+ "loss": 2.2494,
597
  "step": 196
598
  },
599
  {
600
+ "epoch": 3.08,
601
  "learning_rate": 2e-05,
602
+ "loss": 2.49,
603
  "step": 198
604
  },
605
  {
606
+ "epoch": 3.11,
607
  "learning_rate": 2e-05,
608
+ "loss": 2.1276,
609
  "step": 200
610
  },
611
  {
612
+ "epoch": 3.14,
613
  "learning_rate": 2e-05,
614
+ "loss": 2.439,
615
  "step": 202
616
  },
617
  {
618
+ "epoch": 3.17,
619
  "learning_rate": 2e-05,
620
+ "loss": 2.3284,
621
  "step": 204
622
  },
623
  {
624
+ "epoch": 3.2,
625
  "learning_rate": 2e-05,
626
+ "loss": 2.2809,
627
  "step": 206
628
  },
629
  {
630
+ "epoch": 3.23,
631
  "learning_rate": 2e-05,
632
+ "loss": 2.5269,
633
  "step": 208
634
  },
635
  {
636
+ "epoch": 3.26,
637
  "learning_rate": 2e-05,
638
+ "loss": 2.094,
639
  "step": 210
640
  },
641
  {
642
+ "epoch": 3.29,
643
  "learning_rate": 2e-05,
644
+ "loss": 2.1803,
645
  "step": 212
646
  },
647
  {
648
+ "epoch": 3.32,
649
  "learning_rate": 2e-05,
650
+ "loss": 2.3172,
651
  "step": 214
652
  },
653
  {
654
+ "epoch": 3.36,
655
  "learning_rate": 2e-05,
656
+ "loss": 2.1906,
657
  "step": 216
658
  },
659
  {
660
+ "epoch": 3.39,
661
  "learning_rate": 2e-05,
662
+ "loss": 2.3878,
663
  "step": 218
664
  },
665
  {
666
+ "epoch": 3.42,
667
  "learning_rate": 2e-05,
668
+ "loss": 2.3024,
669
  "step": 220
670
  },
671
  {
672
+ "epoch": 3.45,
673
  "learning_rate": 2e-05,
674
+ "loss": 2.2317,
675
  "step": 222
676
  },
677
  {
678
+ "epoch": 3.48,
679
  "learning_rate": 2e-05,
680
+ "loss": 2.1912,
681
  "step": 224
682
  },
683
  {
684
+ "epoch": 3.51,
685
  "learning_rate": 2e-05,
686
+ "loss": 2.1445,
687
  "step": 226
688
  },
689
  {
690
+ "epoch": 3.54,
691
  "learning_rate": 2e-05,
692
+ "loss": 2.1329,
693
  "step": 228
694
  },
695
  {
696
+ "epoch": 3.57,
697
  "learning_rate": 2e-05,
698
+ "loss": 2.2501,
699
  "step": 230
700
  },
701
  {
702
+ "epoch": 3.6,
703
  "learning_rate": 2e-05,
704
+ "loss": 2.2295,
705
  "step": 232
706
  },
707
  {
708
+ "epoch": 3.63,
709
  "learning_rate": 2e-05,
710
+ "loss": 2.5514,
711
  "step": 234
712
  },
713
  {
714
+ "epoch": 3.67,
715
  "learning_rate": 2e-05,
716
+ "loss": 2.4298,
717
  "step": 236
718
  },
719
  {
720
+ "epoch": 3.7,
721
  "learning_rate": 2e-05,
722
+ "loss": 2.4957,
723
  "step": 238
724
  },
725
  {
726
+ "epoch": 3.73,
727
  "learning_rate": 2e-05,
728
+ "loss": 2.3006,
729
  "step": 240
730
  },
731
  {
732
+ "epoch": 3.76,
733
  "learning_rate": 2e-05,
734
+ "loss": 2.1901,
735
  "step": 242
736
  },
737
  {
738
+ "epoch": 3.79,
739
  "learning_rate": 2e-05,
740
+ "loss": 2.1106,
741
  "step": 244
742
  },
743
  {
744
+ "epoch": 3.82,
745
  "learning_rate": 2e-05,
746
+ "loss": 2.3414,
747
  "step": 246
748
  },
749
  {
750
+ "epoch": 3.85,
751
  "learning_rate": 2e-05,
752
+ "loss": 2.307,
753
  "step": 248
754
  },
755
  {
756
+ "epoch": 3.88,
757
  "learning_rate": 2e-05,
758
+ "loss": 2.4515,
759
  "step": 250
760
  },
761
  {
762
+ "epoch": 3.91,
763
  "learning_rate": 2e-05,
764
+ "loss": 2.2666,
765
  "step": 252
766
  },
767
  {
768
+ "epoch": 3.95,
769
  "learning_rate": 2e-05,
770
+ "loss": 2.4103,
771
  "step": 254
772
  },
773
  {
774
+ "epoch": 3.98,
775
  "learning_rate": 2e-05,
776
+ "loss": 2.3265,
777
  "step": 256
778
  },
779
  {
780
+ "epoch": 4.01,
781
  "learning_rate": 2e-05,
782
+ "loss": 2.224,
783
  "step": 258
784
  },
785
  {
786
+ "epoch": 4.04,
787
  "learning_rate": 2e-05,
788
+ "loss": 2.0846,
789
  "step": 260
790
  },
791
  {
792
+ "epoch": 4.07,
793
  "learning_rate": 2e-05,
794
+ "loss": 2.3817,
795
  "step": 262
796
  },
797
  {
798
+ "epoch": 4.1,
799
  "learning_rate": 2e-05,
800
+ "loss": 2.383,
801
  "step": 264
802
  },
803
  {
804
+ "epoch": 4.13,
805
  "learning_rate": 2e-05,
806
+ "loss": 2.4061,
807
  "step": 266
808
  },
809
  {
810
+ "epoch": 4.16,
811
  "learning_rate": 2e-05,
812
+ "loss": 2.3673,
813
  "step": 268
814
  },
815
  {
816
+ "epoch": 4.19,
817
  "learning_rate": 2e-05,
818
+ "loss": 2.4446,
819
  "step": 270
820
  },
821
  {
822
+ "epoch": 4.23,
823
  "learning_rate": 2e-05,
824
+ "loss": 2.2113,
825
  "step": 272
826
  },
827
  {
828
+ "epoch": 4.26,
829
  "learning_rate": 2e-05,
830
+ "loss": 1.9811,
831
  "step": 274
832
  },
833
  {
834
+ "epoch": 4.29,
835
  "learning_rate": 2e-05,
836
+ "loss": 2.1417,
837
  "step": 276
838
  },
839
  {
840
+ "epoch": 4.32,
841
  "learning_rate": 2e-05,
842
+ "loss": 2.1974,
843
  "step": 278
844
  },
845
  {
846
+ "epoch": 4.35,
847
  "learning_rate": 2e-05,
848
+ "loss": 2.2307,
849
  "step": 280
850
  },
851
  {
852
+ "epoch": 4.38,
853
  "learning_rate": 2e-05,
854
+ "loss": 2.3205,
855
  "step": 282
856
  },
857
  {
858
+ "epoch": 4.41,
859
  "learning_rate": 2e-05,
860
+ "loss": 2.4086,
861
  "step": 284
862
  },
863
  {
864
+ "epoch": 4.44,
865
  "learning_rate": 2e-05,
866
+ "loss": 2.3523,
867
  "step": 286
868
  },
869
  {
870
+ "epoch": 4.47,
871
  "learning_rate": 2e-05,
872
+ "loss": 2.3648,
873
  "step": 288
874
  },
875
  {
876
+ "epoch": 4.5,
877
  "learning_rate": 2e-05,
878
+ "loss": 2.2323,
879
  "step": 290
880
  },
881
  {
882
+ "epoch": 4.54,
883
  "learning_rate": 2e-05,
884
+ "loss": 2.1511,
885
  "step": 292
886
  },
887
  {
888
+ "epoch": 4.57,
889
  "learning_rate": 2e-05,
890
+ "loss": 2.2901,
891
  "step": 294
892
  },
893
  {
894
+ "epoch": 4.6,
895
  "learning_rate": 2e-05,
896
+ "loss": 2.1708,
897
  "step": 296
898
  },
899
  {
900
+ "epoch": 4.63,
901
  "learning_rate": 2e-05,
902
+ "loss": 2.439,
903
  "step": 298
904
  },
905
  {
906
+ "epoch": 4.66,
907
  "learning_rate": 2e-05,
908
+ "loss": 2.2779,
909
  "step": 300
910
+ },
911
+ {
912
+ "epoch": 4.69,
913
+ "learning_rate": 2e-05,
914
+ "loss": 2.3234,
915
+ "step": 302
916
+ },
917
+ {
918
+ "epoch": 4.72,
919
+ "learning_rate": 2e-05,
920
+ "loss": 2.1885,
921
+ "step": 304
922
+ },
923
+ {
924
+ "epoch": 4.75,
925
+ "learning_rate": 2e-05,
926
+ "loss": 2.197,
927
+ "step": 306
928
+ },
929
+ {
930
+ "epoch": 4.78,
931
+ "learning_rate": 2e-05,
932
+ "loss": 2.2283,
933
+ "step": 308
934
+ },
935
+ {
936
+ "epoch": 4.82,
937
+ "learning_rate": 2e-05,
938
+ "loss": 2.277,
939
+ "step": 310
940
+ },
941
+ {
942
+ "epoch": 4.85,
943
+ "learning_rate": 2e-05,
944
+ "loss": 2.1933,
945
+ "step": 312
946
+ },
947
+ {
948
+ "epoch": 4.88,
949
+ "learning_rate": 2e-05,
950
+ "loss": 2.4403,
951
+ "step": 314
952
+ },
953
+ {
954
+ "epoch": 4.91,
955
+ "learning_rate": 2e-05,
956
+ "loss": 2.3334,
957
+ "step": 316
958
+ },
959
+ {
960
+ "epoch": 4.94,
961
+ "learning_rate": 2e-05,
962
+ "loss": 2.4561,
963
+ "step": 318
964
+ },
965
+ {
966
+ "epoch": 4.97,
967
+ "learning_rate": 2e-05,
968
+ "loss": 2.3681,
969
+ "step": 320
970
+ },
971
+ {
972
+ "epoch": 5.0,
973
+ "learning_rate": 2e-05,
974
+ "loss": 2.209,
975
+ "step": 322
976
+ },
977
+ {
978
+ "epoch": 5.03,
979
+ "learning_rate": 2e-05,
980
+ "loss": 2.1442,
981
+ "step": 324
982
+ },
983
+ {
984
+ "epoch": 5.06,
985
+ "learning_rate": 2e-05,
986
+ "loss": 2.2129,
987
+ "step": 326
988
+ },
989
+ {
990
+ "epoch": 5.1,
991
+ "learning_rate": 2e-05,
992
+ "loss": 2.2902,
993
+ "step": 328
994
+ },
995
+ {
996
+ "epoch": 5.13,
997
+ "learning_rate": 2e-05,
998
+ "loss": 2.3856,
999
+ "step": 330
1000
+ },
1001
+ {
1002
+ "epoch": 5.16,
1003
+ "learning_rate": 2e-05,
1004
+ "loss": 2.3635,
1005
+ "step": 332
1006
+ },
1007
+ {
1008
+ "epoch": 5.19,
1009
+ "learning_rate": 2e-05,
1010
+ "loss": 2.3768,
1011
+ "step": 334
1012
+ },
1013
+ {
1014
+ "epoch": 5.22,
1015
+ "learning_rate": 2e-05,
1016
+ "loss": 2.2499,
1017
+ "step": 336
1018
+ },
1019
+ {
1020
+ "epoch": 5.25,
1021
+ "learning_rate": 2e-05,
1022
+ "loss": 2.0922,
1023
+ "step": 338
1024
+ },
1025
+ {
1026
+ "epoch": 5.28,
1027
+ "learning_rate": 2e-05,
1028
+ "loss": 2.2305,
1029
+ "step": 340
1030
+ },
1031
+ {
1032
+ "epoch": 5.31,
1033
+ "learning_rate": 2e-05,
1034
+ "loss": 2.3997,
1035
+ "step": 342
1036
+ },
1037
+ {
1038
+ "epoch": 5.34,
1039
+ "learning_rate": 2e-05,
1040
+ "loss": 2.3267,
1041
+ "step": 344
1042
+ },
1043
+ {
1044
+ "epoch": 5.37,
1045
+ "learning_rate": 2e-05,
1046
+ "loss": 2.2925,
1047
+ "step": 346
1048
+ },
1049
+ {
1050
+ "epoch": 5.41,
1051
+ "learning_rate": 2e-05,
1052
+ "loss": 2.4507,
1053
+ "step": 348
1054
+ },
1055
+ {
1056
+ "epoch": 5.44,
1057
+ "learning_rate": 2e-05,
1058
+ "loss": 2.1205,
1059
+ "step": 350
1060
+ },
1061
+ {
1062
+ "epoch": 5.47,
1063
+ "learning_rate": 2e-05,
1064
+ "loss": 2.4202,
1065
+ "step": 352
1066
+ },
1067
+ {
1068
+ "epoch": 5.5,
1069
+ "learning_rate": 2e-05,
1070
+ "loss": 2.1869,
1071
+ "step": 354
1072
+ },
1073
+ {
1074
+ "epoch": 5.53,
1075
+ "learning_rate": 2e-05,
1076
+ "loss": 2.1803,
1077
+ "step": 356
1078
+ },
1079
+ {
1080
+ "epoch": 5.56,
1081
+ "learning_rate": 2e-05,
1082
+ "loss": 2.282,
1083
+ "step": 358
1084
+ },
1085
+ {
1086
+ "epoch": 5.59,
1087
+ "learning_rate": 2e-05,
1088
+ "loss": 2.2463,
1089
+ "step": 360
1090
+ },
1091
+ {
1092
+ "epoch": 5.62,
1093
+ "learning_rate": 2e-05,
1094
+ "loss": 2.3239,
1095
+ "step": 362
1096
+ },
1097
+ {
1098
+ "epoch": 5.65,
1099
+ "learning_rate": 2e-05,
1100
+ "loss": 2.467,
1101
+ "step": 364
1102
+ },
1103
+ {
1104
+ "epoch": 5.69,
1105
+ "learning_rate": 2e-05,
1106
+ "loss": 2.3813,
1107
+ "step": 366
1108
+ },
1109
+ {
1110
+ "epoch": 5.72,
1111
+ "learning_rate": 2e-05,
1112
+ "loss": 2.1721,
1113
+ "step": 368
1114
+ },
1115
+ {
1116
+ "epoch": 5.75,
1117
+ "learning_rate": 2e-05,
1118
+ "loss": 1.9805,
1119
+ "step": 370
1120
+ },
1121
+ {
1122
+ "epoch": 5.78,
1123
+ "learning_rate": 2e-05,
1124
+ "loss": 2.0838,
1125
+ "step": 372
1126
+ },
1127
+ {
1128
+ "epoch": 5.81,
1129
+ "learning_rate": 2e-05,
1130
+ "loss": 2.0986,
1131
+ "step": 374
1132
+ },
1133
+ {
1134
+ "epoch": 5.84,
1135
+ "learning_rate": 2e-05,
1136
+ "loss": 2.176,
1137
+ "step": 376
1138
+ },
1139
+ {
1140
+ "epoch": 5.87,
1141
+ "learning_rate": 2e-05,
1142
+ "loss": 2.4024,
1143
+ "step": 378
1144
+ },
1145
+ {
1146
+ "epoch": 5.9,
1147
+ "learning_rate": 2e-05,
1148
+ "loss": 2.186,
1149
+ "step": 380
1150
+ },
1151
+ {
1152
+ "epoch": 5.93,
1153
+ "learning_rate": 2e-05,
1154
+ "loss": 2.6387,
1155
+ "step": 382
1156
+ },
1157
+ {
1158
+ "epoch": 5.97,
1159
+ "learning_rate": 2e-05,
1160
+ "loss": 2.3593,
1161
+ "step": 384
1162
+ },
1163
+ {
1164
+ "epoch": 6.0,
1165
+ "learning_rate": 2e-05,
1166
+ "loss": 2.1382,
1167
+ "step": 386
1168
+ },
1169
+ {
1170
+ "epoch": 6.03,
1171
+ "learning_rate": 2e-05,
1172
+ "loss": 2.213,
1173
+ "step": 388
1174
+ },
1175
+ {
1176
+ "epoch": 6.06,
1177
+ "learning_rate": 2e-05,
1178
+ "loss": 2.2024,
1179
+ "step": 390
1180
+ },
1181
+ {
1182
+ "epoch": 6.09,
1183
+ "learning_rate": 2e-05,
1184
+ "loss": 2.3621,
1185
+ "step": 392
1186
+ },
1187
+ {
1188
+ "epoch": 6.12,
1189
+ "learning_rate": 2e-05,
1190
+ "loss": 2.2862,
1191
+ "step": 394
1192
+ },
1193
+ {
1194
+ "epoch": 6.15,
1195
+ "learning_rate": 2e-05,
1196
+ "loss": 2.3235,
1197
+ "step": 396
1198
+ },
1199
+ {
1200
+ "epoch": 6.18,
1201
+ "learning_rate": 2e-05,
1202
+ "loss": 2.2832,
1203
+ "step": 398
1204
+ },
1205
+ {
1206
+ "epoch": 6.21,
1207
+ "learning_rate": 2e-05,
1208
+ "loss": 2.2983,
1209
+ "step": 400
1210
  }
1211
  ],
1212
  "logging_steps": 2,
1213
+ "max_steps": 640,
1214
+ "num_train_epochs": 10,
1215
  "save_steps": 50,
1216
+ "total_flos": 1.1112192480313344e+16,
1217
  "trial_name": null,
1218
  "trial_params": null
1219
  }
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:215b4567909bd31282b9ac473e0ec14a3ce5a1cd00c40c00e45a82c3502c144a
3
  size 4027
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a34485e6d4df72a1e969d0daf902715c8e3277d752874a81435eb899cdfa0396
3
  size 4027