TinyPixel commited on
Commit
df625f2
1 Parent(s): d467056

Upload folder using huggingface_hub

Browse files
adapter_config.json CHANGED
@@ -19,10 +19,10 @@
19
  "rank_pattern": {},
20
  "revision": null,
21
  "target_modules": [
22
- "dense_4h_to_h",
23
  "dense_h_to_4h",
24
- "dense",
25
- "query_key_value"
 
26
  ],
27
  "task_type": "CAUSAL_LM"
28
  }
 
19
  "rank_pattern": {},
20
  "revision": null,
21
  "target_modules": [
 
22
  "dense_h_to_4h",
23
+ "dense_4h_to_h",
24
+ "query_key_value",
25
+ "dense"
26
  ],
27
  "task_type": "CAUSAL_LM"
28
  }
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6e5c5c60ac960231df9f8470ee166ad44f7cbdd42330ccbb02e2b2f266910e08
3
  size 134235712
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:37064288ef4a83417b01775aa272419957bfc3475ca83cc790be87bbf0372376
3
  size 134235712
optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:42cc40db1cb1d7c66d79f9aad1bb927dbb1efe1c1c72e306e8ad4cca0f604df5
3
- size 268515002
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e5dd8597c6ced13208c2b26149b2c66c66b317f187d2d7004249cbb9d6650394
3
+ size 268514874
rng_state.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:3850cffcdc194c123cd16ed51c68d080cca74165fcc78ea052f3750f4f9baac4
3
  size 14244
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:491e5f6b5726b57c00cf7b3fd43594f3dfebebae3d5a733f77b8fdd596e70f8f
3
  size 14244
scheduler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c79c66b60a0abe3dc1f1792ced2b6c99f10b3ada4ba94ee60000ba5931c603a9
3
  size 1064
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:31ea39dd85d8fdd7963ae8fca104a21064c32ab31d9951bd542c75f5d686bcc7
3
  size 1064
trainer_state.json CHANGED
@@ -1,920 +1,620 @@
1
  {
2
  "best_metric": null,
3
  "best_model_checkpoint": null,
4
- "epoch": 2.983219390926041,
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": 0.02,
13
  "learning_rate": 0.0002,
14
- "loss": 2.5828,
15
  "step": 2
16
  },
17
  {
18
- "epoch": 0.04,
19
  "learning_rate": 0.0002,
20
- "loss": 2.6581,
21
  "step": 4
22
  },
23
  {
24
- "epoch": 0.06,
25
  "learning_rate": 0.0002,
26
- "loss": 2.5371,
27
  "step": 6
28
  },
29
  {
30
- "epoch": 0.08,
31
  "learning_rate": 0.0002,
32
- "loss": 2.4502,
33
  "step": 8
34
  },
35
  {
36
- "epoch": 0.1,
37
  "learning_rate": 0.0002,
38
- "loss": 2.3872,
39
  "step": 10
40
  },
41
  {
42
- "epoch": 0.12,
43
  "learning_rate": 0.0002,
44
- "loss": 2.3808,
45
  "step": 12
46
  },
47
  {
48
- "epoch": 0.14,
49
  "learning_rate": 0.0002,
50
- "loss": 2.3424,
51
  "step": 14
52
  },
53
  {
54
- "epoch": 0.16,
55
  "learning_rate": 0.0002,
56
- "loss": 2.2899,
57
  "step": 16
58
  },
59
  {
60
- "epoch": 0.18,
61
  "learning_rate": 0.0002,
62
- "loss": 2.3867,
63
  "step": 18
64
  },
65
  {
66
- "epoch": 0.2,
67
  "learning_rate": 0.0002,
68
- "loss": 1.9899,
69
  "step": 20
70
  },
71
  {
72
- "epoch": 0.22,
73
  "learning_rate": 0.0002,
74
- "loss": 2.0737,
75
  "step": 22
76
  },
77
  {
78
- "epoch": 0.24,
79
  "learning_rate": 0.0002,
80
- "loss": 2.2409,
81
  "step": 24
82
  },
83
  {
84
- "epoch": 0.26,
85
  "learning_rate": 0.0002,
86
- "loss": 2.2095,
87
  "step": 26
88
  },
89
  {
90
- "epoch": 0.28,
91
  "learning_rate": 0.0002,
92
- "loss": 2.3744,
93
  "step": 28
94
  },
95
  {
96
- "epoch": 0.3,
97
  "learning_rate": 0.0002,
98
- "loss": 2.2856,
99
  "step": 30
100
  },
101
  {
102
- "epoch": 0.32,
103
  "learning_rate": 0.0002,
104
- "loss": 2.2101,
105
  "step": 32
106
  },
107
  {
108
- "epoch": 0.34,
109
  "learning_rate": 0.0002,
110
- "loss": 2.2994,
111
  "step": 34
112
  },
113
  {
114
- "epoch": 0.36,
115
  "learning_rate": 0.0002,
116
- "loss": 2.1992,
117
  "step": 36
118
  },
119
  {
120
- "epoch": 0.38,
121
  "learning_rate": 0.0002,
122
- "loss": 2.1496,
123
  "step": 38
124
  },
125
  {
126
- "epoch": 0.4,
127
  "learning_rate": 0.0002,
128
- "loss": 2.1543,
129
  "step": 40
130
  },
131
  {
132
- "epoch": 0.42,
133
  "learning_rate": 0.0002,
134
- "loss": 2.0936,
135
  "step": 42
136
  },
137
  {
138
- "epoch": 0.44,
139
  "learning_rate": 0.0002,
140
- "loss": 2.0874,
141
  "step": 44
142
  },
143
  {
144
- "epoch": 0.46,
145
  "learning_rate": 0.0002,
146
- "loss": 2.0742,
147
  "step": 46
148
  },
149
  {
150
- "epoch": 0.48,
151
  "learning_rate": 0.0002,
152
- "loss": 2.0173,
153
  "step": 48
154
  },
155
  {
156
- "epoch": 0.5,
157
  "learning_rate": 0.0002,
158
- "loss": 1.9083,
159
  "step": 50
160
  },
161
  {
162
- "epoch": 0.52,
163
  "learning_rate": 0.0002,
164
- "loss": 2.16,
165
  "step": 52
166
  },
167
  {
168
- "epoch": 0.54,
169
  "learning_rate": 0.0002,
170
- "loss": 2.176,
171
  "step": 54
172
  },
173
  {
174
- "epoch": 0.56,
175
  "learning_rate": 0.0002,
176
- "loss": 2.2623,
177
  "step": 56
178
  },
179
  {
180
- "epoch": 0.58,
181
  "learning_rate": 0.0002,
182
- "loss": 2.1539,
183
  "step": 58
184
  },
185
  {
186
- "epoch": 0.6,
187
  "learning_rate": 0.0002,
188
- "loss": 2.1608,
189
  "step": 60
190
  },
191
  {
192
- "epoch": 0.62,
193
  "learning_rate": 0.0002,
194
- "loss": 2.2897,
195
  "step": 62
196
  },
197
  {
198
- "epoch": 0.64,
199
  "learning_rate": 0.0002,
200
- "loss": 2.1425,
201
  "step": 64
202
  },
203
  {
204
- "epoch": 0.66,
205
  "learning_rate": 0.0002,
206
- "loss": 2.2373,
207
  "step": 66
208
  },
209
  {
210
- "epoch": 0.68,
211
  "learning_rate": 0.0002,
212
- "loss": 2.0494,
213
  "step": 68
214
  },
215
  {
216
- "epoch": 0.7,
217
  "learning_rate": 0.0002,
218
- "loss": 2.0225,
219
  "step": 70
220
  },
221
  {
222
- "epoch": 0.72,
223
  "learning_rate": 0.0002,
224
- "loss": 2.1813,
225
  "step": 72
226
  },
227
  {
228
- "epoch": 0.74,
229
  "learning_rate": 0.0002,
230
- "loss": 2.2155,
231
  "step": 74
232
  },
233
  {
234
- "epoch": 0.76,
235
  "learning_rate": 0.0002,
236
- "loss": 2.0284,
237
  "step": 76
238
  },
239
  {
240
- "epoch": 0.78,
241
  "learning_rate": 0.0002,
242
- "loss": 2.1858,
243
  "step": 78
244
  },
245
  {
246
- "epoch": 0.8,
247
  "learning_rate": 0.0002,
248
- "loss": 2.2214,
249
  "step": 80
250
  },
251
  {
252
- "epoch": 0.82,
253
  "learning_rate": 0.0002,
254
- "loss": 2.1439,
255
  "step": 82
256
  },
257
  {
258
- "epoch": 0.84,
259
  "learning_rate": 0.0002,
260
- "loss": 2.372,
261
  "step": 84
262
  },
263
  {
264
- "epoch": 0.86,
265
  "learning_rate": 0.0002,
266
- "loss": 2.2334,
267
  "step": 86
268
  },
269
  {
270
- "epoch": 0.88,
271
  "learning_rate": 0.0002,
272
- "loss": 2.1863,
273
  "step": 88
274
  },
275
  {
276
- "epoch": 0.89,
277
  "learning_rate": 0.0002,
278
- "loss": 2.3142,
279
  "step": 90
280
  },
281
  {
282
- "epoch": 0.91,
283
  "learning_rate": 0.0002,
284
- "loss": 2.0363,
285
  "step": 92
286
  },
287
  {
288
- "epoch": 0.93,
289
  "learning_rate": 0.0002,
290
- "loss": 2.0347,
291
  "step": 94
292
  },
293
  {
294
- "epoch": 0.95,
295
  "learning_rate": 0.0002,
296
- "loss": 2.1288,
297
  "step": 96
298
  },
299
  {
300
- "epoch": 0.97,
301
  "learning_rate": 0.0002,
302
- "loss": 2.0572,
303
  "step": 98
304
  },
305
  {
306
- "epoch": 0.99,
307
  "learning_rate": 0.0002,
308
- "loss": 2.083,
309
  "step": 100
310
  },
311
  {
312
- "epoch": 1.01,
313
  "learning_rate": 0.0002,
314
- "loss": 2.2397,
315
  "step": 102
316
  },
317
  {
318
- "epoch": 1.03,
319
  "learning_rate": 0.0002,
320
- "loss": 2.1792,
321
  "step": 104
322
  },
323
  {
324
- "epoch": 1.05,
325
  "learning_rate": 0.0002,
326
- "loss": 2.2482,
327
  "step": 106
328
  },
329
  {
330
- "epoch": 1.07,
331
  "learning_rate": 0.0002,
332
- "loss": 2.0806,
333
  "step": 108
334
  },
335
  {
336
- "epoch": 1.09,
337
  "learning_rate": 0.0002,
338
- "loss": 2.16,
339
  "step": 110
340
  },
341
  {
342
- "epoch": 1.11,
343
  "learning_rate": 0.0002,
344
- "loss": 2.292,
345
  "step": 112
346
  },
347
  {
348
- "epoch": 1.13,
349
  "learning_rate": 0.0002,
350
- "loss": 2.0676,
351
  "step": 114
352
  },
353
  {
354
- "epoch": 1.15,
355
  "learning_rate": 0.0002,
356
- "loss": 2.2526,
357
  "step": 116
358
  },
359
  {
360
- "epoch": 1.17,
361
  "learning_rate": 0.0002,
362
- "loss": 1.922,
363
  "step": 118
364
  },
365
  {
366
- "epoch": 1.19,
367
  "learning_rate": 0.0002,
368
- "loss": 1.9116,
369
  "step": 120
370
  },
371
  {
372
- "epoch": 1.21,
373
  "learning_rate": 0.0002,
374
- "loss": 1.8892,
375
  "step": 122
376
  },
377
  {
378
- "epoch": 1.23,
379
  "learning_rate": 0.0002,
380
- "loss": 1.9477,
381
  "step": 124
382
  },
383
  {
384
- "epoch": 1.25,
385
  "learning_rate": 0.0002,
386
- "loss": 2.0279,
387
  "step": 126
388
  },
389
  {
390
- "epoch": 1.27,
391
  "learning_rate": 0.0002,
392
- "loss": 2.2849,
393
  "step": 128
394
  },
395
  {
396
- "epoch": 1.29,
397
  "learning_rate": 0.0002,
398
- "loss": 2.125,
399
  "step": 130
400
  },
401
  {
402
- "epoch": 1.31,
403
  "learning_rate": 0.0002,
404
- "loss": 2.1052,
405
  "step": 132
406
  },
407
  {
408
- "epoch": 1.33,
409
  "learning_rate": 0.0002,
410
- "loss": 2.1967,
411
  "step": 134
412
  },
413
  {
414
- "epoch": 1.35,
415
  "learning_rate": 0.0002,
416
- "loss": 2.1822,
417
  "step": 136
418
  },
419
  {
420
- "epoch": 1.37,
421
  "learning_rate": 0.0002,
422
- "loss": 2.1636,
423
  "step": 138
424
  },
425
  {
426
- "epoch": 1.39,
427
  "learning_rate": 0.0002,
428
- "loss": 2.1071,
429
  "step": 140
430
  },
431
  {
432
- "epoch": 1.41,
433
  "learning_rate": 0.0002,
434
- "loss": 2.0495,
435
  "step": 142
436
  },
437
  {
438
- "epoch": 1.43,
439
  "learning_rate": 0.0002,
440
- "loss": 2.0297,
441
  "step": 144
442
  },
443
  {
444
- "epoch": 1.45,
445
  "learning_rate": 0.0002,
446
- "loss": 2.029,
447
  "step": 146
448
  },
449
  {
450
- "epoch": 1.47,
451
  "learning_rate": 0.0002,
452
- "loss": 2.0418,
453
  "step": 148
454
  },
455
  {
456
- "epoch": 1.49,
457
  "learning_rate": 0.0002,
458
- "loss": 1.9593,
459
  "step": 150
460
  },
461
  {
462
- "epoch": 1.51,
463
  "learning_rate": 0.0002,
464
- "loss": 2.0313,
465
  "step": 152
466
  },
467
  {
468
- "epoch": 1.53,
469
  "learning_rate": 0.0002,
470
- "loss": 2.1371,
471
  "step": 154
472
  },
473
  {
474
- "epoch": 1.55,
475
  "learning_rate": 0.0002,
476
- "loss": 2.0588,
477
  "step": 156
478
  },
479
  {
480
- "epoch": 1.57,
481
  "learning_rate": 0.0002,
482
- "loss": 2.1388,
483
  "step": 158
484
  },
485
  {
486
- "epoch": 1.59,
487
  "learning_rate": 0.0002,
488
- "loss": 2.1441,
489
  "step": 160
490
  },
491
  {
492
- "epoch": 1.61,
493
  "learning_rate": 0.0002,
494
- "loss": 2.2533,
495
  "step": 162
496
  },
497
  {
498
- "epoch": 1.63,
499
  "learning_rate": 0.0002,
500
- "loss": 2.2119,
501
  "step": 164
502
  },
503
  {
504
- "epoch": 1.65,
505
  "learning_rate": 0.0002,
506
- "loss": 2.1546,
507
  "step": 166
508
  },
509
  {
510
- "epoch": 1.67,
511
  "learning_rate": 0.0002,
512
- "loss": 1.9094,
513
  "step": 168
514
  },
515
  {
516
- "epoch": 1.69,
517
  "learning_rate": 0.0002,
518
- "loss": 1.8923,
519
  "step": 170
520
  },
521
  {
522
- "epoch": 1.71,
523
  "learning_rate": 0.0002,
524
- "loss": 2.1945,
525
  "step": 172
526
  },
527
  {
528
- "epoch": 1.73,
529
  "learning_rate": 0.0002,
530
- "loss": 1.9362,
531
  "step": 174
532
  },
533
  {
534
- "epoch": 1.75,
535
  "learning_rate": 0.0002,
536
- "loss": 1.9729,
537
  "step": 176
538
  },
539
  {
540
- "epoch": 1.77,
541
  "learning_rate": 0.0002,
542
- "loss": 2.1719,
543
  "step": 178
544
  },
545
  {
546
- "epoch": 1.79,
547
  "learning_rate": 0.0002,
548
- "loss": 2.1011,
549
  "step": 180
550
  },
551
  {
552
- "epoch": 1.81,
553
  "learning_rate": 0.0002,
554
- "loss": 1.9506,
555
  "step": 182
556
  },
557
  {
558
- "epoch": 1.83,
559
  "learning_rate": 0.0002,
560
- "loss": 2.1621,
561
  "step": 184
562
  },
563
  {
564
- "epoch": 1.85,
565
  "learning_rate": 0.0002,
566
- "loss": 2.1376,
567
  "step": 186
568
  },
569
  {
570
- "epoch": 1.87,
571
  "learning_rate": 0.0002,
572
- "loss": 2.0654,
573
  "step": 188
574
  },
575
  {
576
- "epoch": 1.89,
577
  "learning_rate": 0.0002,
578
- "loss": 2.13,
579
  "step": 190
580
  },
581
  {
582
- "epoch": 1.91,
583
  "learning_rate": 0.0002,
584
- "loss": 2.2511,
585
  "step": 192
586
  },
587
  {
588
- "epoch": 1.93,
589
  "learning_rate": 0.0002,
590
- "loss": 2.0819,
591
  "step": 194
592
  },
593
  {
594
- "epoch": 1.95,
595
  "learning_rate": 0.0002,
596
- "loss": 1.9898,
597
  "step": 196
598
  },
599
  {
600
- "epoch": 1.97,
601
  "learning_rate": 0.0002,
602
- "loss": 2.0087,
603
  "step": 198
604
  },
605
- {
606
- "epoch": 1.99,
607
- "learning_rate": 0.0002,
608
- "loss": 2.0657,
609
- "step": 200
610
- },
611
- {
612
- "epoch": 2.01,
613
- "learning_rate": 0.0002,
614
- "loss": 1.9649,
615
- "step": 202
616
- },
617
- {
618
- "epoch": 2.03,
619
- "learning_rate": 0.0002,
620
- "loss": 2.2439,
621
- "step": 204
622
- },
623
- {
624
- "epoch": 2.05,
625
- "learning_rate": 0.0002,
626
- "loss": 2.0759,
627
- "step": 206
628
- },
629
- {
630
- "epoch": 2.07,
631
- "learning_rate": 0.0002,
632
- "loss": 2.0714,
633
- "step": 208
634
- },
635
- {
636
- "epoch": 2.09,
637
- "learning_rate": 0.0002,
638
- "loss": 2.0442,
639
- "step": 210
640
- },
641
- {
642
- "epoch": 2.11,
643
- "learning_rate": 0.0002,
644
- "loss": 2.0177,
645
- "step": 212
646
- },
647
- {
648
- "epoch": 2.13,
649
- "learning_rate": 0.0002,
650
- "loss": 2.1249,
651
- "step": 214
652
- },
653
- {
654
- "epoch": 2.15,
655
- "learning_rate": 0.0002,
656
- "loss": 2.0028,
657
- "step": 216
658
- },
659
- {
660
- "epoch": 2.17,
661
- "learning_rate": 0.0002,
662
- "loss": 2.0526,
663
- "step": 218
664
- },
665
- {
666
- "epoch": 2.19,
667
- "learning_rate": 0.0002,
668
- "loss": 1.9671,
669
- "step": 220
670
- },
671
- {
672
- "epoch": 2.21,
673
- "learning_rate": 0.0002,
674
- "loss": 1.9116,
675
- "step": 222
676
- },
677
- {
678
- "epoch": 2.23,
679
- "learning_rate": 0.0002,
680
- "loss": 1.9053,
681
- "step": 224
682
- },
683
- {
684
- "epoch": 2.25,
685
- "learning_rate": 0.0002,
686
- "loss": 1.8237,
687
- "step": 226
688
- },
689
- {
690
- "epoch": 2.27,
691
- "learning_rate": 0.0002,
692
- "loss": 2.0919,
693
- "step": 228
694
- },
695
- {
696
- "epoch": 2.29,
697
- "learning_rate": 0.0002,
698
- "loss": 1.9859,
699
- "step": 230
700
- },
701
- {
702
- "epoch": 2.31,
703
- "learning_rate": 0.0002,
704
- "loss": 2.0955,
705
- "step": 232
706
- },
707
- {
708
- "epoch": 2.33,
709
- "learning_rate": 0.0002,
710
- "loss": 2.0789,
711
- "step": 234
712
- },
713
- {
714
- "epoch": 2.35,
715
- "learning_rate": 0.0002,
716
- "loss": 2.1218,
717
- "step": 236
718
- },
719
- {
720
- "epoch": 2.37,
721
- "learning_rate": 0.0002,
722
- "loss": 2.1313,
723
- "step": 238
724
- },
725
- {
726
- "epoch": 2.39,
727
- "learning_rate": 0.0002,
728
- "loss": 2.1044,
729
- "step": 240
730
- },
731
- {
732
- "epoch": 2.41,
733
- "learning_rate": 0.0002,
734
- "loss": 2.0011,
735
- "step": 242
736
- },
737
- {
738
- "epoch": 2.43,
739
- "learning_rate": 0.0002,
740
- "loss": 1.8662,
741
- "step": 244
742
- },
743
- {
744
- "epoch": 2.45,
745
- "learning_rate": 0.0002,
746
- "loss": 1.8631,
747
- "step": 246
748
- },
749
- {
750
- "epoch": 2.47,
751
- "learning_rate": 0.0002,
752
- "loss": 2.0623,
753
- "step": 248
754
- },
755
- {
756
- "epoch": 2.49,
757
- "learning_rate": 0.0002,
758
- "loss": 1.8474,
759
- "step": 250
760
- },
761
- {
762
- "epoch": 2.51,
763
- "learning_rate": 0.0002,
764
- "loss": 2.0302,
765
- "step": 252
766
- },
767
- {
768
- "epoch": 2.53,
769
- "learning_rate": 0.0002,
770
- "loss": 2.0382,
771
- "step": 254
772
- },
773
- {
774
- "epoch": 2.55,
775
- "learning_rate": 0.0002,
776
- "loss": 2.0559,
777
- "step": 256
778
- },
779
- {
780
- "epoch": 2.57,
781
- "learning_rate": 0.0002,
782
- "loss": 2.0959,
783
- "step": 258
784
- },
785
- {
786
- "epoch": 2.59,
787
- "learning_rate": 0.0002,
788
- "loss": 2.0263,
789
- "step": 260
790
- },
791
- {
792
- "epoch": 2.61,
793
- "learning_rate": 0.0002,
794
- "loss": 2.1544,
795
- "step": 262
796
- },
797
- {
798
- "epoch": 2.63,
799
- "learning_rate": 0.0002,
800
- "loss": 2.2014,
801
- "step": 264
802
- },
803
- {
804
- "epoch": 2.65,
805
- "learning_rate": 0.0002,
806
- "loss": 2.1269,
807
- "step": 266
808
- },
809
- {
810
- "epoch": 2.67,
811
- "learning_rate": 0.0002,
812
- "loss": 2.0373,
813
- "step": 268
814
- },
815
- {
816
- "epoch": 2.68,
817
- "learning_rate": 0.0002,
818
- "loss": 1.9107,
819
- "step": 270
820
- },
821
- {
822
- "epoch": 2.7,
823
- "learning_rate": 0.0002,
824
- "loss": 1.9081,
825
- "step": 272
826
- },
827
- {
828
- "epoch": 2.72,
829
- "learning_rate": 0.0002,
830
- "loss": 1.9295,
831
- "step": 274
832
- },
833
- {
834
- "epoch": 2.74,
835
- "learning_rate": 0.0002,
836
- "loss": 1.7845,
837
- "step": 276
838
- },
839
- {
840
- "epoch": 2.76,
841
- "learning_rate": 0.0002,
842
- "loss": 2.0504,
843
- "step": 278
844
- },
845
- {
846
- "epoch": 2.78,
847
- "learning_rate": 0.0002,
848
- "loss": 2.2585,
849
- "step": 280
850
- },
851
- {
852
- "epoch": 2.8,
853
- "learning_rate": 0.0002,
854
- "loss": 2.1938,
855
- "step": 282
856
- },
857
- {
858
- "epoch": 2.82,
859
- "learning_rate": 0.0002,
860
- "loss": 2.0515,
861
- "step": 284
862
- },
863
- {
864
- "epoch": 2.84,
865
- "learning_rate": 0.0002,
866
- "loss": 2.076,
867
- "step": 286
868
- },
869
- {
870
- "epoch": 2.86,
871
- "learning_rate": 0.0002,
872
- "loss": 2.105,
873
- "step": 288
874
- },
875
- {
876
- "epoch": 2.88,
877
- "learning_rate": 0.0002,
878
- "loss": 2.165,
879
- "step": 290
880
- },
881
- {
882
- "epoch": 2.9,
883
- "learning_rate": 0.0002,
884
- "loss": 2.1052,
885
- "step": 292
886
- },
887
- {
888
- "epoch": 2.92,
889
- "learning_rate": 0.0002,
890
- "loss": 1.9451,
891
- "step": 294
892
- },
893
- {
894
- "epoch": 2.94,
895
- "learning_rate": 0.0002,
896
- "loss": 1.8612,
897
- "step": 296
898
- },
899
- {
900
- "epoch": 2.96,
901
- "learning_rate": 0.0002,
902
- "loss": 1.8693,
903
- "step": 298
904
- },
905
  {
906
  "epoch": 2.98,
907
  "learning_rate": 0.0002,
908
- "loss": 2.0716,
909
- "step": 300
910
  }
911
  ],
912
  "logging_steps": 2,
913
- "max_steps": 300,
914
  "num_input_tokens_seen": 0,
915
  "num_train_epochs": 3,
916
  "save_steps": 500,
917
- "total_flos": 2.583887994465485e+16,
918
  "train_batch_size": 1,
919
  "trial_name": null,
920
  "trial_params": null
 
1
  {
2
  "best_metric": null,
3
  "best_model_checkpoint": null,
4
+ "epoch": 2.9972041006523766,
5
  "eval_steps": 500,
6
+ "global_step": 201,
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": 0.0002,
14
+ "loss": 2.7611,
15
  "step": 2
16
  },
17
  {
18
+ "epoch": 0.06,
19
  "learning_rate": 0.0002,
20
+ "loss": 2.0534,
21
  "step": 4
22
  },
23
  {
24
+ "epoch": 0.09,
25
  "learning_rate": 0.0002,
26
+ "loss": 1.8546,
27
  "step": 6
28
  },
29
  {
30
+ "epoch": 0.12,
31
  "learning_rate": 0.0002,
32
+ "loss": 1.7224,
33
  "step": 8
34
  },
35
  {
36
+ "epoch": 0.15,
37
  "learning_rate": 0.0002,
38
+ "loss": 1.5704,
39
  "step": 10
40
  },
41
  {
42
+ "epoch": 0.18,
43
  "learning_rate": 0.0002,
44
+ "loss": 1.701,
45
  "step": 12
46
  },
47
  {
48
+ "epoch": 0.21,
49
  "learning_rate": 0.0002,
50
+ "loss": 2.1142,
51
  "step": 14
52
  },
53
  {
54
+ "epoch": 0.24,
55
  "learning_rate": 0.0002,
56
+ "loss": 2.1463,
57
  "step": 16
58
  },
59
  {
60
+ "epoch": 0.27,
61
  "learning_rate": 0.0002,
62
+ "loss": 2.28,
63
  "step": 18
64
  },
65
  {
66
+ "epoch": 0.3,
67
  "learning_rate": 0.0002,
68
+ "loss": 1.9174,
69
  "step": 20
70
  },
71
  {
72
+ "epoch": 0.33,
73
  "learning_rate": 0.0002,
74
+ "loss": 1.8062,
75
  "step": 22
76
  },
77
  {
78
+ "epoch": 0.36,
79
  "learning_rate": 0.0002,
80
+ "loss": 1.7627,
81
  "step": 24
82
  },
83
  {
84
+ "epoch": 0.39,
85
  "learning_rate": 0.0002,
86
+ "loss": 1.6455,
87
  "step": 26
88
  },
89
  {
90
+ "epoch": 0.42,
91
  "learning_rate": 0.0002,
92
+ "loss": 1.7599,
93
  "step": 28
94
  },
95
  {
96
+ "epoch": 0.45,
97
  "learning_rate": 0.0002,
98
+ "loss": 1.9044,
99
  "step": 30
100
  },
101
  {
102
+ "epoch": 0.48,
103
  "learning_rate": 0.0002,
104
+ "loss": 1.8191,
105
  "step": 32
106
  },
107
  {
108
+ "epoch": 0.51,
109
  "learning_rate": 0.0002,
110
+ "loss": 2.2867,
111
  "step": 34
112
  },
113
  {
114
+ "epoch": 0.54,
115
  "learning_rate": 0.0002,
116
+ "loss": 1.8142,
117
  "step": 36
118
  },
119
  {
120
+ "epoch": 0.57,
121
  "learning_rate": 0.0002,
122
+ "loss": 1.7659,
123
  "step": 38
124
  },
125
  {
126
+ "epoch": 0.6,
127
  "learning_rate": 0.0002,
128
+ "loss": 1.7533,
129
  "step": 40
130
  },
131
  {
132
+ "epoch": 0.63,
133
  "learning_rate": 0.0002,
134
+ "loss": 1.4815,
135
  "step": 42
136
  },
137
  {
138
+ "epoch": 0.66,
139
  "learning_rate": 0.0002,
140
+ "loss": 1.6431,
141
  "step": 44
142
  },
143
  {
144
+ "epoch": 0.69,
145
  "learning_rate": 0.0002,
146
+ "loss": 1.7396,
147
  "step": 46
148
  },
149
  {
150
+ "epoch": 0.72,
151
  "learning_rate": 0.0002,
152
+ "loss": 1.657,
153
  "step": 48
154
  },
155
  {
156
+ "epoch": 0.75,
157
  "learning_rate": 0.0002,
158
+ "loss": 2.4034,
159
  "step": 50
160
  },
161
  {
162
+ "epoch": 0.78,
163
  "learning_rate": 0.0002,
164
+ "loss": 1.6792,
165
  "step": 52
166
  },
167
  {
168
+ "epoch": 0.81,
169
  "learning_rate": 0.0002,
170
+ "loss": 1.7176,
171
  "step": 54
172
  },
173
  {
174
+ "epoch": 0.84,
175
  "learning_rate": 0.0002,
176
+ "loss": 1.6806,
177
  "step": 56
178
  },
179
  {
180
+ "epoch": 0.86,
181
  "learning_rate": 0.0002,
182
+ "loss": 1.4216,
183
  "step": 58
184
  },
185
  {
186
+ "epoch": 0.89,
187
  "learning_rate": 0.0002,
188
+ "loss": 1.5723,
189
  "step": 60
190
  },
191
  {
192
+ "epoch": 0.92,
193
  "learning_rate": 0.0002,
194
+ "loss": 1.6799,
195
  "step": 62
196
  },
197
  {
198
+ "epoch": 0.95,
199
  "learning_rate": 0.0002,
200
+ "loss": 1.7065,
201
  "step": 64
202
  },
203
  {
204
+ "epoch": 0.98,
205
  "learning_rate": 0.0002,
206
+ "loss": 1.7307,
207
  "step": 66
208
  },
209
  {
210
+ "epoch": 1.01,
211
  "learning_rate": 0.0002,
212
+ "loss": 1.9236,
213
  "step": 68
214
  },
215
  {
216
+ "epoch": 1.04,
217
  "learning_rate": 0.0002,
218
+ "loss": 2.078,
219
  "step": 70
220
  },
221
  {
222
+ "epoch": 1.07,
223
  "learning_rate": 0.0002,
224
+ "loss": 1.7343,
225
  "step": 72
226
  },
227
  {
228
+ "epoch": 1.1,
229
  "learning_rate": 0.0002,
230
+ "loss": 1.7106,
231
  "step": 74
232
  },
233
  {
234
+ "epoch": 1.13,
235
  "learning_rate": 0.0002,
236
+ "loss": 1.491,
237
  "step": 76
238
  },
239
  {
240
+ "epoch": 1.16,
241
  "learning_rate": 0.0002,
242
+ "loss": 1.4934,
243
  "step": 78
244
  },
245
  {
246
+ "epoch": 1.19,
247
  "learning_rate": 0.0002,
248
+ "loss": 1.5139,
249
  "step": 80
250
  },
251
  {
252
+ "epoch": 1.22,
253
  "learning_rate": 0.0002,
254
+ "loss": 1.5726,
255
  "step": 82
256
  },
257
  {
258
+ "epoch": 1.25,
259
  "learning_rate": 0.0002,
260
+ "loss": 1.7851,
261
  "step": 84
262
  },
263
  {
264
+ "epoch": 1.28,
265
  "learning_rate": 0.0002,
266
+ "loss": 2.2004,
267
  "step": 86
268
  },
269
  {
270
+ "epoch": 1.31,
271
  "learning_rate": 0.0002,
272
+ "loss": 1.614,
273
  "step": 88
274
  },
275
  {
276
+ "epoch": 1.34,
277
  "learning_rate": 0.0002,
278
+ "loss": 1.6361,
279
  "step": 90
280
  },
281
  {
282
+ "epoch": 1.37,
283
  "learning_rate": 0.0002,
284
+ "loss": 1.5856,
285
  "step": 92
286
  },
287
  {
288
+ "epoch": 1.4,
289
  "learning_rate": 0.0002,
290
+ "loss": 1.3014,
291
  "step": 94
292
  },
293
  {
294
+ "epoch": 1.43,
295
  "learning_rate": 0.0002,
296
+ "loss": 1.5709,
297
  "step": 96
298
  },
299
  {
300
+ "epoch": 1.46,
301
  "learning_rate": 0.0002,
302
+ "loss": 1.6687,
303
  "step": 98
304
  },
305
  {
306
+ "epoch": 1.49,
307
  "learning_rate": 0.0002,
308
+ "loss": 1.7529,
309
  "step": 100
310
  },
311
  {
312
+ "epoch": 1.52,
313
  "learning_rate": 0.0002,
314
+ "loss": 2.0307,
315
  "step": 102
316
  },
317
  {
318
+ "epoch": 1.55,
319
  "learning_rate": 0.0002,
320
+ "loss": 1.6563,
321
  "step": 104
322
  },
323
  {
324
+ "epoch": 1.58,
325
  "learning_rate": 0.0002,
326
+ "loss": 1.5444,
327
  "step": 106
328
  },
329
  {
330
+ "epoch": 1.61,
331
  "learning_rate": 0.0002,
332
+ "loss": 1.5678,
333
  "step": 108
334
  },
335
  {
336
+ "epoch": 1.64,
337
  "learning_rate": 0.0002,
338
+ "loss": 1.2937,
339
  "step": 110
340
  },
341
  {
342
+ "epoch": 1.67,
343
  "learning_rate": 0.0002,
344
+ "loss": 1.4848,
345
  "step": 112
346
  },
347
  {
348
+ "epoch": 1.7,
349
  "learning_rate": 0.0002,
350
+ "loss": 1.6739,
351
  "step": 114
352
  },
353
  {
354
+ "epoch": 1.73,
355
  "learning_rate": 0.0002,
356
+ "loss": 1.6185,
357
  "step": 116
358
  },
359
  {
360
+ "epoch": 1.76,
361
  "learning_rate": 0.0002,
362
+ "loss": 1.9855,
363
  "step": 118
364
  },
365
  {
366
+ "epoch": 1.79,
367
  "learning_rate": 0.0002,
368
+ "loss": 1.6515,
369
  "step": 120
370
  },
371
  {
372
+ "epoch": 1.82,
373
  "learning_rate": 0.0002,
374
+ "loss": 1.6412,
375
  "step": 122
376
  },
377
  {
378
+ "epoch": 1.85,
379
  "learning_rate": 0.0002,
380
+ "loss": 1.6263,
381
  "step": 124
382
  },
383
  {
384
+ "epoch": 1.88,
385
  "learning_rate": 0.0002,
386
+ "loss": 1.3411,
387
  "step": 126
388
  },
389
  {
390
+ "epoch": 1.91,
391
  "learning_rate": 0.0002,
392
+ "loss": 1.5003,
393
  "step": 128
394
  },
395
  {
396
+ "epoch": 1.94,
397
  "learning_rate": 0.0002,
398
+ "loss": 1.6156,
399
  "step": 130
400
  },
401
  {
402
+ "epoch": 1.97,
403
  "learning_rate": 0.0002,
404
+ "loss": 1.6351,
405
  "step": 132
406
  },
407
  {
408
+ "epoch": 2.0,
409
  "learning_rate": 0.0002,
410
+ "loss": 1.4533,
411
  "step": 134
412
  },
413
  {
414
+ "epoch": 2.03,
415
  "learning_rate": 0.0002,
416
+ "loss": 2.065,
417
  "step": 136
418
  },
419
  {
420
+ "epoch": 2.06,
421
  "learning_rate": 0.0002,
422
+ "loss": 1.9513,
423
  "step": 138
424
  },
425
  {
426
+ "epoch": 2.09,
427
  "learning_rate": 0.0002,
428
+ "loss": 1.5904,
429
  "step": 140
430
  },
431
  {
432
+ "epoch": 2.12,
433
  "learning_rate": 0.0002,
434
+ "loss": 1.5137,
435
  "step": 142
436
  },
437
  {
438
+ "epoch": 2.15,
439
  "learning_rate": 0.0002,
440
+ "loss": 1.3142,
441
  "step": 144
442
  },
443
  {
444
+ "epoch": 2.18,
445
  "learning_rate": 0.0002,
446
+ "loss": 1.2811,
447
  "step": 146
448
  },
449
  {
450
+ "epoch": 2.21,
451
  "learning_rate": 0.0002,
452
+ "loss": 1.307,
453
  "step": 148
454
  },
455
  {
456
+ "epoch": 2.24,
457
  "learning_rate": 0.0002,
458
+ "loss": 1.3048,
459
  "step": 150
460
  },
461
  {
462
+ "epoch": 2.27,
463
  "learning_rate": 0.0002,
464
+ "loss": 2.1982,
465
  "step": 152
466
  },
467
  {
468
+ "epoch": 2.3,
469
  "learning_rate": 0.0002,
470
+ "loss": 1.792,
471
  "step": 154
472
  },
473
  {
474
+ "epoch": 2.33,
475
  "learning_rate": 0.0002,
476
+ "loss": 1.6401,
477
  "step": 156
478
  },
479
  {
480
+ "epoch": 2.36,
481
  "learning_rate": 0.0002,
482
+ "loss": 1.5942,
483
  "step": 158
484
  },
485
  {
486
+ "epoch": 2.39,
487
  "learning_rate": 0.0002,
488
+ "loss": 1.3007,
489
  "step": 160
490
  },
491
  {
492
+ "epoch": 2.42,
493
  "learning_rate": 0.0002,
494
+ "loss": 1.2533,
495
  "step": 162
496
  },
497
  {
498
+ "epoch": 2.45,
499
  "learning_rate": 0.0002,
500
+ "loss": 1.4146,
501
  "step": 164
502
  },
503
  {
504
+ "epoch": 2.48,
505
  "learning_rate": 0.0002,
506
+ "loss": 1.1527,
507
  "step": 166
508
  },
509
  {
510
+ "epoch": 2.51,
511
  "learning_rate": 0.0002,
512
+ "loss": 2.0213,
513
  "step": 168
514
  },
515
  {
516
+ "epoch": 2.53,
517
  "learning_rate": 0.0002,
518
+ "loss": 1.617,
519
  "step": 170
520
  },
521
  {
522
+ "epoch": 2.56,
523
  "learning_rate": 0.0002,
524
+ "loss": 1.5848,
525
  "step": 172
526
  },
527
  {
528
+ "epoch": 2.59,
529
  "learning_rate": 0.0002,
530
+ "loss": 1.553,
531
  "step": 174
532
  },
533
  {
534
+ "epoch": 2.62,
535
  "learning_rate": 0.0002,
536
+ "loss": 1.425,
537
  "step": 176
538
  },
539
  {
540
+ "epoch": 2.65,
541
  "learning_rate": 0.0002,
542
+ "loss": 1.2844,
543
  "step": 178
544
  },
545
  {
546
+ "epoch": 2.68,
547
  "learning_rate": 0.0002,
548
+ "loss": 1.2933,
549
  "step": 180
550
  },
551
  {
552
+ "epoch": 2.71,
553
  "learning_rate": 0.0002,
554
+ "loss": 1.1767,
555
  "step": 182
556
  },
557
  {
558
+ "epoch": 2.74,
559
  "learning_rate": 0.0002,
560
+ "loss": 2.1534,
561
  "step": 184
562
  },
563
  {
564
+ "epoch": 2.77,
565
  "learning_rate": 0.0002,
566
+ "loss": 1.7644,
567
  "step": 186
568
  },
569
  {
570
+ "epoch": 2.8,
571
  "learning_rate": 0.0002,
572
+ "loss": 1.6005,
573
  "step": 188
574
  },
575
  {
576
+ "epoch": 2.83,
577
  "learning_rate": 0.0002,
578
+ "loss": 1.6655,
579
  "step": 190
580
  },
581
  {
582
+ "epoch": 2.86,
583
  "learning_rate": 0.0002,
584
+ "loss": 1.3768,
585
  "step": 192
586
  },
587
  {
588
+ "epoch": 2.89,
589
  "learning_rate": 0.0002,
590
+ "loss": 1.2941,
591
  "step": 194
592
  },
593
  {
594
+ "epoch": 2.92,
595
  "learning_rate": 0.0002,
596
+ "loss": 1.3398,
597
  "step": 196
598
  },
599
  {
600
+ "epoch": 2.95,
601
  "learning_rate": 0.0002,
602
+ "loss": 1.2624,
603
  "step": 198
604
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
605
  {
606
  "epoch": 2.98,
607
  "learning_rate": 0.0002,
608
+ "loss": 1.884,
609
+ "step": 200
610
  }
611
  ],
612
  "logging_steps": 2,
613
+ "max_steps": 201,
614
  "num_input_tokens_seen": 0,
615
  "num_train_epochs": 3,
616
  "save_steps": 500,
617
+ "total_flos": 8822423073988608.0,
618
  "train_batch_size": 1,
619
  "trial_name": null,
620
  "trial_params": null
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:be6cbfc3a3bc96845390c55d1ca1cfa1ff08278577668e45edff0ecb1a4f119c
3
  size 4728
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:29b27ac2256952c6e5fd3b4ba89a333660dd6059ef157fbf881536cdba8a272c
3
  size 4728