jondurbin commited on
Commit
3f48bfe
1 Parent(s): 0669240

Upload folder using huggingface_hub

Browse files
config.json CHANGED
@@ -1,5 +1,5 @@
1
  {
2
- "_name_or_path": "/workspace/llama-13b-hf",
3
  "architectures": [
4
  "LlamaForCausalLM"
5
  ],
@@ -10,7 +10,7 @@
10
  "initializer_range": 0.02,
11
  "intermediate_size": 13824,
12
  "max_position_embeddings": 4096,
13
- "max_sequence_len": 4096,
14
  "max_sequence_length": 4096,
15
  "model_type": "llama",
16
  "num_attention_heads": 40,
 
1
  {
2
+ "_name_or_path": "airoboros-13b-gpt4",
3
  "architectures": [
4
  "LlamaForCausalLM"
5
  ],
 
10
  "initializer_range": 0.02,
11
  "intermediate_size": 13824,
12
  "max_position_embeddings": 4096,
13
+ "max_seq_len": 4096,
14
  "max_sequence_length": 4096,
15
  "model_type": "llama",
16
  "num_attention_heads": 40,
pytorch_model-00001-of-00006.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a1da4566a32f37bc0cbde77925aa701ac2702439a968a051de7a88cf9cdca285
3
- size 9956543883
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:66489a87afab2b6dea92dd6891777c62fe165822a46f7ff4ac41a42c55769505
3
+ size 9956546443
pytorch_model-00002-of-00006.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ffb59fbf7a23b7c0b50aed2f0c05dcd84505af43cbe73feac66a9827dc2fa072
3
- size 9940856385
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aeda356e227ba84f6b6acf9bd38a5b6f00010e4d4e866afc9315659971a7d598
3
+ size 9940859009
pytorch_model-00003-of-00006.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d518dd4cecbe69d2ac1feb9f1264325bedc8a6a34eeaa9d993fe3b62c0be6712
3
- size 9940856943
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cbce747ed27f2c8ac15efb174759baabb76407a8d5ad7316de9f92197d3cea47
3
+ size 9940859567
pytorch_model-00004-of-00006.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:abc7ff33c05a5d3c184df78d5d9c48c20ca5adf671e5addcb4d0a3230617cb74
3
- size 9867415289
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b58fd2a8572aef39ad551d47112c3ad4630bb5173b898643bcce32dc88f5ddce
3
+ size 9867417913
pytorch_model-00005-of-00006.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4fe8132cd353517b6a8a4039aeb66c3952e1765f01b09af996080a1052415e9c
3
- size 9867456961
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bdd348511b019d1d68b8323f50a6eb0cb30558659d9d857eafecb3faa5e1aec3
3
+ size 9867459649
pytorch_model-00006-of-00006.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b8bce38825ac82721bb81962ec76efdd21470fb9eb31aa498d3e1948687fe5ad
3
- size 2490476207
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c251f981ad4e8996c3d98660324ff70b0ba237e6f2ea66701d2b1f665baa1643
3
+ size 2490476719
trainer_state.json CHANGED
@@ -1,817 +1,1996 @@
1
  {
2
  "best_metric": null,
3
  "best_model_checkpoint": null,
4
- "epoch": 1.0,
5
- "global_step": 132,
6
  "is_hyper_param_search": false,
7
  "is_local_process_zero": true,
8
  "is_world_process_zero": true,
9
  "log_history": [
10
  {
11
  "epoch": 0.01,
12
- "learning_rate": 3.3333333333333333e-06,
13
- "loss": 0.1628,
14
  "step": 1
15
  },
16
  {
17
  "epoch": 0.02,
18
- "learning_rate": 6.666666666666667e-06,
19
- "loss": 0.2466,
20
  "step": 2
21
  },
22
  {
23
- "epoch": 0.02,
24
- "learning_rate": 1e-05,
25
- "loss": 0.1574,
26
  "step": 3
27
  },
28
  {
29
- "epoch": 0.03,
30
- "learning_rate": 1.3333333333333333e-05,
31
- "loss": 0.2579,
32
  "step": 4
33
  },
34
  {
35
- "epoch": 0.04,
36
- "learning_rate": 1.6666666666666667e-05,
37
- "loss": 0.1541,
38
  "step": 5
39
  },
40
  {
41
- "epoch": 0.05,
42
- "learning_rate": 2e-05,
43
- "loss": 0.1936,
44
  "step": 6
45
  },
46
  {
47
- "epoch": 0.05,
48
- "learning_rate": 1.9996891820008165e-05,
49
- "loss": 0.2,
50
  "step": 7
51
  },
52
  {
53
- "epoch": 0.06,
54
- "learning_rate": 1.9987569212189224e-05,
55
- "loss": 0.1831,
56
  "step": 8
57
  },
58
  {
59
- "epoch": 0.07,
60
- "learning_rate": 1.9972037971811802e-05,
61
- "loss": 0.2248,
62
  "step": 9
63
  },
64
  {
65
- "epoch": 0.08,
66
- "learning_rate": 1.9950307753654016e-05,
67
- "loss": 0.1665,
68
  "step": 10
69
  },
70
  {
71
- "epoch": 0.08,
72
- "learning_rate": 1.9922392066001724e-05,
73
- "loss": 0.2094,
74
  "step": 11
75
  },
76
  {
77
- "epoch": 0.09,
78
- "learning_rate": 1.9888308262251286e-05,
79
- "loss": 0.2001,
80
  "step": 12
81
  },
82
  {
83
- "epoch": 0.1,
84
- "learning_rate": 1.9848077530122083e-05,
85
- "loss": 0.1172,
86
  "step": 13
87
  },
88
  {
89
- "epoch": 0.11,
90
- "learning_rate": 1.9801724878485438e-05,
91
- "loss": 0.2056,
92
  "step": 14
93
  },
94
  {
95
- "epoch": 0.11,
96
- "learning_rate": 1.9749279121818235e-05,
97
- "loss": 0.2014,
98
  "step": 15
99
  },
100
  {
101
- "epoch": 0.12,
102
- "learning_rate": 1.969077286229078e-05,
103
- "loss": 0.1684,
104
  "step": 16
105
  },
106
  {
107
- "epoch": 0.13,
108
- "learning_rate": 1.962624246950012e-05,
109
- "loss": 0.1373,
110
  "step": 17
111
  },
112
  {
113
- "epoch": 0.14,
114
- "learning_rate": 1.955572805786141e-05,
115
- "loss": 0.1828,
116
  "step": 18
117
  },
118
  {
119
- "epoch": 0.14,
120
- "learning_rate": 1.947927346167132e-05,
121
- "loss": 0.2026,
122
  "step": 19
123
  },
124
  {
125
- "epoch": 0.15,
126
- "learning_rate": 1.9396926207859085e-05,
127
- "loss": 0.2229,
128
  "step": 20
129
  },
130
  {
131
- "epoch": 0.16,
132
- "learning_rate": 1.9308737486442045e-05,
133
- "loss": 0.223,
134
  "step": 21
135
  },
136
  {
137
- "epoch": 0.17,
138
- "learning_rate": 1.921476211870408e-05,
139
- "loss": 0.1184,
140
  "step": 22
141
  },
142
  {
143
- "epoch": 0.17,
144
- "learning_rate": 1.9115058523116734e-05,
145
- "loss": 0.1451,
146
  "step": 23
147
  },
148
  {
149
- "epoch": 0.18,
150
- "learning_rate": 1.900968867902419e-05,
151
- "loss": 0.1882,
152
  "step": 24
153
  },
154
  {
155
- "epoch": 0.19,
156
- "learning_rate": 1.8898718088114688e-05,
157
- "loss": 0.1531,
158
  "step": 25
159
  },
160
  {
161
- "epoch": 0.2,
162
- "learning_rate": 1.8782215733702286e-05,
163
- "loss": 0.1562,
164
  "step": 26
165
  },
166
  {
167
- "epoch": 0.2,
168
- "learning_rate": 1.866025403784439e-05,
169
- "loss": 0.1659,
170
  "step": 27
171
  },
172
  {
173
- "epoch": 0.21,
174
- "learning_rate": 1.8532908816321557e-05,
175
- "loss": 0.1937,
176
  "step": 28
177
  },
178
  {
179
- "epoch": 0.22,
180
- "learning_rate": 1.8400259231507716e-05,
181
- "loss": 0.1737,
182
  "step": 29
183
  },
184
  {
185
- "epoch": 0.23,
186
- "learning_rate": 1.826238774315995e-05,
187
- "loss": 0.1417,
188
  "step": 30
189
  },
190
  {
191
- "epoch": 0.23,
192
- "learning_rate": 1.811938005715857e-05,
193
- "loss": 0.1761,
194
  "step": 31
195
  },
196
  {
197
- "epoch": 0.24,
198
- "learning_rate": 1.7971325072229227e-05,
199
- "loss": 0.13,
200
  "step": 32
201
  },
202
  {
203
- "epoch": 0.25,
204
- "learning_rate": 1.78183148246803e-05,
205
- "loss": 0.1835,
206
  "step": 33
207
  },
208
  {
209
- "epoch": 0.26,
210
- "learning_rate": 1.766044443118978e-05,
211
- "loss": 0.1799,
212
  "step": 34
213
  },
214
  {
215
- "epoch": 0.27,
216
- "learning_rate": 1.7497812029677344e-05,
217
- "loss": 0.1744,
218
  "step": 35
219
  },
220
  {
221
- "epoch": 0.27,
222
- "learning_rate": 1.7330518718298263e-05,
223
- "loss": 0.1656,
224
  "step": 36
225
  },
226
  {
227
- "epoch": 0.28,
228
- "learning_rate": 1.7158668492597186e-05,
229
- "loss": 0.1198,
230
  "step": 37
231
  },
232
  {
233
- "epoch": 0.29,
234
- "learning_rate": 1.698236818086073e-05,
235
- "loss": 0.218,
236
  "step": 38
237
  },
238
  {
239
- "epoch": 0.3,
240
- "learning_rate": 1.6801727377709195e-05,
241
- "loss": 0.1288,
242
  "step": 39
243
  },
244
  {
245
- "epoch": 0.3,
246
- "learning_rate": 1.6616858375968596e-05,
247
- "loss": 0.183,
248
  "step": 40
249
  },
250
  {
251
- "epoch": 0.31,
252
- "learning_rate": 1.6427876096865394e-05,
253
- "loss": 0.1998,
254
  "step": 41
255
  },
256
  {
257
- "epoch": 0.32,
258
- "learning_rate": 1.6234898018587336e-05,
259
- "loss": 0.2144,
260
  "step": 42
261
  },
262
  {
263
- "epoch": 0.33,
264
- "learning_rate": 1.6038044103254775e-05,
265
- "loss": 0.2268,
266
  "step": 43
267
  },
268
  {
269
- "epoch": 0.33,
270
- "learning_rate": 1.5837436722347902e-05,
271
- "loss": 0.1978,
272
  "step": 44
273
  },
274
  {
275
- "epoch": 0.34,
276
- "learning_rate": 1.563320058063622e-05,
277
- "loss": 0.2205,
278
  "step": 45
279
  },
280
  {
281
- "epoch": 0.35,
282
- "learning_rate": 1.5425462638657597e-05,
283
- "loss": 0.1178,
284
  "step": 46
285
  },
286
  {
287
- "epoch": 0.36,
288
- "learning_rate": 1.5214352033794981e-05,
289
- "loss": 0.1766,
290
  "step": 47
291
  },
292
  {
293
- "epoch": 0.36,
294
- "learning_rate": 1.5000000000000002e-05,
295
- "loss": 0.1925,
296
  "step": 48
297
  },
298
  {
299
- "epoch": 0.37,
300
- "learning_rate": 1.4782539786213184e-05,
301
- "loss": 0.1857,
302
  "step": 49
303
  },
304
  {
305
- "epoch": 0.38,
306
- "learning_rate": 1.4562106573531632e-05,
307
- "loss": 0.1898,
308
  "step": 50
309
  },
310
  {
311
- "epoch": 0.39,
312
- "learning_rate": 1.4338837391175582e-05,
313
- "loss": 0.2147,
314
  "step": 51
315
  },
316
  {
317
- "epoch": 0.39,
318
- "learning_rate": 1.4112871031306118e-05,
319
- "loss": 0.0981,
320
  "step": 52
321
  },
322
  {
323
- "epoch": 0.4,
324
- "learning_rate": 1.3884347962746949e-05,
325
- "loss": 0.12,
326
  "step": 53
327
  },
328
  {
329
- "epoch": 0.41,
330
- "learning_rate": 1.3653410243663953e-05,
331
- "loss": 0.1628,
332
  "step": 54
333
  },
334
  {
335
- "epoch": 0.42,
336
- "learning_rate": 1.342020143325669e-05,
337
- "loss": 0.1212,
338
  "step": 55
339
  },
340
  {
341
- "epoch": 0.42,
342
- "learning_rate": 1.3184866502516846e-05,
343
- "loss": 0.1532,
344
  "step": 56
345
  },
346
  {
347
- "epoch": 0.43,
348
- "learning_rate": 1.2947551744109044e-05,
349
- "loss": 0.2227,
350
  "step": 57
351
  },
352
  {
353
- "epoch": 0.44,
354
- "learning_rate": 1.2708404681430054e-05,
355
- "loss": 0.1514,
356
  "step": 58
357
  },
358
  {
359
- "epoch": 0.45,
360
- "learning_rate": 1.2467573976902936e-05,
361
- "loss": 0.1682,
362
  "step": 59
363
  },
364
  {
365
- "epoch": 0.45,
366
- "learning_rate": 1.2225209339563144e-05,
367
- "loss": 0.1198,
368
  "step": 60
369
  },
370
  {
371
- "epoch": 0.46,
372
- "learning_rate": 1.1981461431993978e-05,
373
- "loss": 0.1467,
374
  "step": 61
375
  },
376
  {
377
- "epoch": 0.47,
378
- "learning_rate": 1.1736481776669307e-05,
379
- "loss": 0.1495,
380
  "step": 62
381
  },
382
  {
383
- "epoch": 0.48,
384
- "learning_rate": 1.1490422661761744e-05,
385
- "loss": 0.184,
386
  "step": 63
387
  },
388
  {
389
- "epoch": 0.48,
390
- "learning_rate": 1.1243437046474854e-05,
391
- "loss": 0.1868,
392
  "step": 64
393
  },
394
  {
395
- "epoch": 0.49,
396
- "learning_rate": 1.0995678465958168e-05,
397
- "loss": 0.1448,
398
  "step": 65
399
  },
400
  {
401
- "epoch": 0.5,
402
- "learning_rate": 1.0747300935864245e-05,
403
- "loss": 0.1522,
404
  "step": 66
405
  },
406
  {
407
- "epoch": 0.51,
408
- "learning_rate": 1.0498458856606972e-05,
409
- "loss": 0.1626,
410
  "step": 67
411
  },
412
  {
413
- "epoch": 0.52,
414
- "learning_rate": 1.0249306917380731e-05,
415
- "loss": 0.1445,
416
  "step": 68
417
  },
418
  {
419
- "epoch": 0.52,
420
- "learning_rate": 1e-05,
421
- "loss": 0.1869,
422
  "step": 69
423
  },
424
  {
425
- "epoch": 0.53,
426
- "learning_rate": 9.750693082619274e-06,
427
- "loss": 0.1127,
428
  "step": 70
429
  },
430
  {
431
- "epoch": 0.54,
432
- "learning_rate": 9.501541143393028e-06,
433
- "loss": 0.1223,
434
  "step": 71
435
  },
436
  {
437
- "epoch": 0.55,
438
- "learning_rate": 9.252699064135759e-06,
439
- "loss": 0.13,
440
  "step": 72
441
  },
442
  {
443
- "epoch": 0.55,
444
- "learning_rate": 9.004321534041836e-06,
445
- "loss": 0.147,
446
  "step": 73
447
  },
448
  {
449
- "epoch": 0.56,
450
- "learning_rate": 8.756562953525151e-06,
451
- "loss": 0.2119,
452
  "step": 74
453
  },
454
  {
455
- "epoch": 0.57,
456
- "learning_rate": 8.509577338238255e-06,
457
- "loss": 0.1632,
458
  "step": 75
459
  },
460
  {
461
- "epoch": 0.58,
462
- "learning_rate": 8.263518223330698e-06,
463
- "loss": 0.1092,
464
  "step": 76
465
  },
466
  {
467
- "epoch": 0.58,
468
- "learning_rate": 8.018538568006027e-06,
469
- "loss": 0.1726,
470
  "step": 77
471
  },
472
  {
473
- "epoch": 0.59,
474
- "learning_rate": 7.774790660436857e-06,
475
- "loss": 0.2059,
476
  "step": 78
477
  },
478
  {
479
- "epoch": 0.6,
480
- "learning_rate": 7.532426023097063e-06,
481
- "loss": 0.1428,
482
  "step": 79
483
  },
484
  {
485
- "epoch": 0.61,
486
- "learning_rate": 7.291595318569951e-06,
487
- "loss": 0.2208,
488
  "step": 80
489
  },
490
  {
491
- "epoch": 0.61,
492
- "learning_rate": 7.052448255890958e-06,
493
- "loss": 0.1072,
494
  "step": 81
495
  },
496
  {
497
- "epoch": 0.62,
498
- "learning_rate": 6.815133497483157e-06,
499
- "loss": 0.1428,
500
  "step": 82
501
  },
502
  {
503
- "epoch": 0.63,
504
- "learning_rate": 6.579798566743314e-06,
505
- "loss": 0.1458,
506
  "step": 83
507
  },
508
  {
509
- "epoch": 0.64,
510
- "learning_rate": 6.34658975633605e-06,
511
- "loss": 0.1575,
512
  "step": 84
513
  },
514
  {
515
- "epoch": 0.64,
516
- "learning_rate": 6.115652037253054e-06,
517
- "loss": 0.1377,
518
  "step": 85
519
  },
520
  {
521
- "epoch": 0.65,
522
- "learning_rate": 5.887128968693887e-06,
523
- "loss": 0.1238,
524
  "step": 86
525
  },
526
  {
527
- "epoch": 0.66,
528
- "learning_rate": 5.66116260882442e-06,
529
- "loss": 0.189,
530
  "step": 87
531
  },
532
  {
533
- "epoch": 0.67,
534
- "learning_rate": 5.43789342646837e-06,
535
- "loss": 0.1362,
536
  "step": 88
537
  },
538
  {
539
- "epoch": 0.67,
540
- "learning_rate": 5.217460213786822e-06,
541
- "loss": 0.1111,
542
  "step": 89
543
  },
544
  {
545
- "epoch": 0.68,
546
- "learning_rate": 5.000000000000003e-06,
547
- "loss": 0.1703,
548
  "step": 90
549
  },
550
  {
551
- "epoch": 0.69,
552
- "learning_rate": 4.78564796620502e-06,
553
- "loss": 0.2067,
554
  "step": 91
555
  },
556
  {
557
- "epoch": 0.7,
558
- "learning_rate": 4.5745373613424075e-06,
559
- "loss": 0.1176,
560
  "step": 92
561
  },
562
  {
563
- "epoch": 0.7,
564
- "learning_rate": 4.3667994193637794e-06,
565
- "loss": 0.0989,
566
  "step": 93
567
  },
568
  {
569
- "epoch": 0.71,
570
- "learning_rate": 4.162563277652104e-06,
571
- "loss": 0.1806,
572
  "step": 94
573
  },
574
  {
575
- "epoch": 0.72,
576
- "learning_rate": 3.961955896745224e-06,
577
- "loss": 0.1268,
578
  "step": 95
579
  },
580
  {
581
- "epoch": 0.73,
582
- "learning_rate": 3.7651019814126656e-06,
583
- "loss": 0.0781,
584
  "step": 96
585
  },
586
  {
587
- "epoch": 0.73,
588
- "learning_rate": 3.5721239031346067e-06,
589
- "loss": 0.0953,
590
  "step": 97
591
  },
592
  {
593
- "epoch": 0.74,
594
- "learning_rate": 3.3831416240314085e-06,
595
- "loss": 0.1347,
596
  "step": 98
597
  },
598
  {
599
- "epoch": 0.75,
600
- "learning_rate": 3.1982726222908046e-06,
601
- "loss": 0.0712,
602
  "step": 99
603
  },
604
  {
605
- "epoch": 0.76,
606
- "learning_rate": 3.017631819139273e-06,
607
- "loss": 0.1236,
608
  "step": 100
609
  },
610
  {
611
- "epoch": 0.77,
612
- "learning_rate": 2.8413315074028157e-06,
613
- "loss": 0.1177,
614
  "step": 101
615
  },
616
  {
617
- "epoch": 0.77,
618
- "learning_rate": 2.669481281701739e-06,
619
- "loss": 0.1223,
620
  "step": 102
621
  },
622
  {
623
- "epoch": 0.78,
624
- "learning_rate": 2.502187970322657e-06,
625
- "loss": 0.1171,
626
  "step": 103
627
  },
628
  {
629
- "epoch": 0.79,
630
- "learning_rate": 2.339555568810221e-06,
631
- "loss": 0.1337,
632
  "step": 104
633
  },
634
  {
635
- "epoch": 0.8,
636
- "learning_rate": 2.1816851753197023e-06,
637
- "loss": 0.1113,
638
  "step": 105
639
  },
640
  {
641
- "epoch": 0.8,
642
- "learning_rate": 2.0286749277707783e-06,
643
- "loss": 0.111,
644
  "step": 106
645
  },
646
  {
647
- "epoch": 0.81,
648
- "learning_rate": 1.880619942841435e-06,
649
- "loss": 0.1522,
650
  "step": 107
651
  },
652
  {
653
- "epoch": 0.82,
654
- "learning_rate": 1.7376122568400533e-06,
655
- "loss": 0.1428,
656
  "step": 108
657
  },
658
  {
659
- "epoch": 0.83,
660
- "learning_rate": 1.599740768492286e-06,
661
- "loss": 0.1221,
662
  "step": 109
663
  },
664
  {
665
- "epoch": 0.83,
666
- "learning_rate": 1.467091183678444e-06,
667
- "loss": 0.1171,
668
  "step": 110
669
  },
670
  {
671
- "epoch": 0.84,
672
- "learning_rate": 1.339745962155613e-06,
673
- "loss": 0.1237,
674
  "step": 111
675
  },
676
  {
677
- "epoch": 0.85,
678
- "learning_rate": 1.2177842662977136e-06,
679
- "loss": 0.1008,
680
  "step": 112
681
  },
682
  {
683
- "epoch": 0.86,
684
- "learning_rate": 1.1012819118853147e-06,
685
- "loss": 0.1522,
686
  "step": 113
687
  },
688
  {
689
- "epoch": 0.86,
690
- "learning_rate": 9.903113209758098e-07,
691
- "loss": 0.0842,
692
  "step": 114
693
  },
694
  {
695
- "epoch": 0.87,
696
- "learning_rate": 8.849414768832687e-07,
697
- "loss": 0.1417,
698
  "step": 115
699
  },
700
  {
701
- "epoch": 0.88,
702
- "learning_rate": 7.852378812959227e-07,
703
- "loss": 0.1132,
704
  "step": 116
705
  },
706
  {
707
- "epoch": 0.89,
708
- "learning_rate": 6.912625135579587e-07,
709
- "loss": 0.1316,
710
  "step": 117
711
  },
712
  {
713
- "epoch": 0.89,
714
- "learning_rate": 6.030737921409169e-07,
715
- "loss": 0.1119,
716
  "step": 118
717
  },
718
  {
719
- "epoch": 0.9,
720
- "learning_rate": 5.207265383286831e-07,
721
- "loss": 0.114,
722
  "step": 119
723
  },
724
  {
725
- "epoch": 0.91,
726
- "learning_rate": 4.4427194213859216e-07,
727
- "loss": 0.1215,
728
  "step": 120
729
  },
730
  {
731
- "epoch": 0.92,
732
- "learning_rate": 3.7375753049987974e-07,
733
- "loss": 0.1544,
734
  "step": 121
735
  },
736
  {
737
- "epoch": 0.92,
738
- "learning_rate": 3.0922713770922155e-07,
739
- "loss": 0.1228,
740
  "step": 122
741
  },
742
  {
743
- "epoch": 0.93,
744
- "learning_rate": 2.507208781817638e-07,
745
- "loss": 0.1326,
746
  "step": 123
747
  },
748
  {
749
- "epoch": 0.94,
750
- "learning_rate": 1.9827512151456175e-07,
751
- "loss": 0.0861,
752
  "step": 124
753
  },
754
  {
755
- "epoch": 0.95,
756
- "learning_rate": 1.519224698779198e-07,
757
- "loss": 0.1173,
758
  "step": 125
759
  },
760
  {
761
- "epoch": 0.95,
762
- "learning_rate": 1.1169173774871478e-07,
763
- "loss": 0.1554,
764
  "step": 126
765
  },
766
  {
767
- "epoch": 0.96,
768
- "learning_rate": 7.760793399827937e-08,
769
- "loss": 0.2177,
770
  "step": 127
771
  },
772
  {
773
- "epoch": 0.97,
774
- "learning_rate": 4.9692246345985905e-08,
775
- "loss": 0.1132,
776
  "step": 128
777
  },
778
  {
779
- "epoch": 0.98,
780
- "learning_rate": 2.796202818819871e-08,
781
- "loss": 0.1256,
782
  "step": 129
783
  },
784
  {
785
- "epoch": 0.98,
786
- "learning_rate": 1.2430787810776556e-08,
787
- "loss": 0.1504,
788
  "step": 130
789
  },
790
  {
791
- "epoch": 0.99,
792
- "learning_rate": 3.1081799918375454e-09,
793
- "loss": 0.1139,
794
  "step": 131
795
  },
796
  {
797
- "epoch": 1.0,
798
- "learning_rate": 0.0,
799
- "loss": 0.1595,
800
  "step": 132
801
  },
802
  {
803
- "epoch": 1.0,
804
- "step": 132,
805
- "total_flos": 5.0444743239899546e+17,
806
- "train_loss": 0.1553735863417387,
807
- "train_runtime": 4037.8946,
808
- "train_samples_per_second": 3.124,
809
- "train_steps_per_second": 0.033
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
810
  }
811
  ],
812
- "max_steps": 132,
813
- "num_train_epochs": 1,
814
- "total_flos": 5.0444743239899546e+17,
815
  "trial_name": null,
816
  "trial_params": null
817
  }
 
1
  {
2
  "best_metric": null,
3
  "best_model_checkpoint": null,
4
+ "epoch": 3.0275229357798166,
5
+ "global_step": 330,
6
  "is_hyper_param_search": false,
7
  "is_local_process_zero": true,
8
  "is_world_process_zero": true,
9
  "log_history": [
10
  {
11
  "epoch": 0.01,
12
+ "learning_rate": 5.555555555555555e-07,
13
+ "loss": 0.6498,
14
  "step": 1
15
  },
16
  {
17
  "epoch": 0.02,
18
+ "learning_rate": 1.111111111111111e-06,
19
+ "loss": 0.6642,
20
  "step": 2
21
  },
22
  {
23
+ "epoch": 0.03,
24
+ "learning_rate": 1.6666666666666667e-06,
25
+ "loss": 0.6479,
26
  "step": 3
27
  },
28
  {
29
+ "epoch": 0.04,
30
+ "learning_rate": 2.222222222222222e-06,
31
+ "loss": 0.5813,
32
  "step": 4
33
  },
34
  {
35
+ "epoch": 0.05,
36
+ "learning_rate": 2.7777777777777783e-06,
37
+ "loss": 0.6306,
38
  "step": 5
39
  },
40
  {
41
+ "epoch": 0.06,
42
+ "learning_rate": 3.3333333333333333e-06,
43
+ "loss": 0.6881,
44
  "step": 6
45
  },
46
  {
47
+ "epoch": 0.06,
48
+ "learning_rate": 3.88888888888889e-06,
49
+ "loss": 0.6066,
50
  "step": 7
51
  },
52
  {
53
+ "epoch": 0.07,
54
+ "learning_rate": 4.444444444444444e-06,
55
+ "loss": 0.5688,
56
  "step": 8
57
  },
58
  {
59
+ "epoch": 0.08,
60
+ "learning_rate": 5e-06,
61
+ "loss": 0.5619,
62
  "step": 9
63
  },
64
  {
65
+ "epoch": 0.09,
66
+ "learning_rate": 5.555555555555557e-06,
67
+ "loss": 0.5144,
68
  "step": 10
69
  },
70
  {
71
+ "epoch": 0.1,
72
+ "learning_rate": 6.111111111111112e-06,
73
+ "loss": 0.5744,
74
  "step": 11
75
  },
76
  {
77
+ "epoch": 0.11,
78
+ "learning_rate": 6.666666666666667e-06,
79
+ "loss": 0.6051,
80
  "step": 12
81
  },
82
  {
83
+ "epoch": 0.12,
84
+ "learning_rate": 7.222222222222223e-06,
85
+ "loss": 0.5917,
86
  "step": 13
87
  },
88
  {
89
+ "epoch": 0.13,
90
+ "learning_rate": 7.77777777777778e-06,
91
+ "loss": 0.5239,
92
  "step": 14
93
  },
94
  {
95
+ "epoch": 0.14,
96
+ "learning_rate": 8.333333333333334e-06,
97
+ "loss": 0.5253,
98
  "step": 15
99
  },
100
  {
101
+ "epoch": 0.15,
102
+ "learning_rate": 8.888888888888888e-06,
103
+ "loss": 0.4143,
104
  "step": 16
105
  },
106
  {
107
+ "epoch": 0.16,
108
+ "learning_rate": 9.444444444444445e-06,
109
+ "loss": 0.4822,
110
  "step": 17
111
  },
112
  {
113
+ "epoch": 0.17,
114
+ "learning_rate": 1e-05,
115
+ "loss": 0.4627,
116
  "step": 18
117
  },
118
  {
119
+ "epoch": 0.17,
120
+ "learning_rate": 9.999858783596665e-06,
121
+ "loss": 0.5389,
122
  "step": 19
123
  },
124
  {
125
+ "epoch": 0.18,
126
+ "learning_rate": 9.999435142363484e-06,
127
+ "loss": 0.5544,
128
  "step": 20
129
  },
130
  {
131
+ "epoch": 0.19,
132
+ "learning_rate": 9.998729100230497e-06,
133
+ "loss": 0.5013,
134
  "step": 21
135
  },
136
  {
137
+ "epoch": 0.2,
138
+ "learning_rate": 9.997740697079595e-06,
139
+ "loss": 0.5035,
140
  "step": 22
141
  },
142
  {
143
+ "epoch": 0.21,
144
+ "learning_rate": 9.99646998874227e-06,
145
+ "loss": 0.4924,
146
  "step": 23
147
  },
148
  {
149
+ "epoch": 0.22,
150
+ "learning_rate": 9.994917046996472e-06,
151
+ "loss": 0.507,
152
  "step": 24
153
  },
154
  {
155
+ "epoch": 0.23,
156
+ "learning_rate": 9.993081959562539e-06,
157
+ "loss": 0.4876,
158
  "step": 25
159
  },
160
  {
161
+ "epoch": 0.24,
162
+ "learning_rate": 9.990964830098246e-06,
163
+ "loss": 0.555,
164
  "step": 26
165
  },
166
  {
167
+ "epoch": 0.25,
168
+ "learning_rate": 9.98856577819296e-06,
169
+ "loss": 0.4692,
170
  "step": 27
171
  },
172
  {
173
+ "epoch": 0.26,
174
+ "learning_rate": 9.985884939360873e-06,
175
+ "loss": 0.466,
176
  "step": 28
177
  },
178
  {
179
+ "epoch": 0.27,
180
+ "learning_rate": 9.98292246503335e-06,
181
+ "loss": 0.4132,
182
  "step": 29
183
  },
184
  {
185
+ "epoch": 0.28,
186
+ "learning_rate": 9.979678522550382e-06,
187
+ "loss": 0.4741,
188
  "step": 30
189
  },
190
  {
191
+ "epoch": 0.28,
192
+ "learning_rate": 9.976153295151123e-06,
193
+ "loss": 0.5424,
194
  "step": 31
195
  },
196
  {
197
+ "epoch": 0.29,
198
+ "learning_rate": 9.972346981963546e-06,
199
+ "loss": 0.4949,
200
  "step": 32
201
  },
202
  {
203
+ "epoch": 0.3,
204
+ "learning_rate": 9.968259797993197e-06,
205
+ "loss": 0.5126,
206
  "step": 33
207
  },
208
  {
209
+ "epoch": 0.31,
210
+ "learning_rate": 9.963891974111042e-06,
211
+ "loss": 0.4202,
212
  "step": 34
213
  },
214
  {
215
+ "epoch": 0.32,
216
+ "learning_rate": 9.959243757040434e-06,
217
+ "loss": 0.4736,
218
  "step": 35
219
  },
220
  {
221
+ "epoch": 0.33,
222
+ "learning_rate": 9.95431540934317e-06,
223
+ "loss": 0.3851,
224
  "step": 36
225
  },
226
  {
227
+ "epoch": 0.34,
228
+ "learning_rate": 9.949107209404664e-06,
229
+ "loss": 0.5542,
230
  "step": 37
231
  },
232
  {
233
+ "epoch": 0.35,
234
+ "learning_rate": 9.943619451418225e-06,
235
+ "loss": 0.5095,
236
  "step": 38
237
  },
238
  {
239
+ "epoch": 0.36,
240
+ "learning_rate": 9.937852445368427e-06,
241
+ "loss": 0.4338,
242
  "step": 39
243
  },
244
  {
245
+ "epoch": 0.37,
246
+ "learning_rate": 9.931806517013612e-06,
247
+ "loss": 0.45,
248
  "step": 40
249
  },
250
  {
251
+ "epoch": 0.38,
252
+ "learning_rate": 9.925482007867485e-06,
253
+ "loss": 0.4735,
254
  "step": 41
255
  },
256
  {
257
+ "epoch": 0.39,
258
+ "learning_rate": 9.918879275179819e-06,
259
+ "loss": 0.4735,
260
  "step": 42
261
  },
262
  {
263
+ "epoch": 0.39,
264
+ "learning_rate": 9.911998691916275e-06,
265
+ "loss": 0.5041,
266
  "step": 43
267
  },
268
  {
269
+ "epoch": 0.4,
270
+ "learning_rate": 9.904840646737346e-06,
271
+ "loss": 0.4432,
272
  "step": 44
273
  },
274
  {
275
+ "epoch": 0.41,
276
+ "learning_rate": 9.89740554397639e-06,
277
+ "loss": 0.4457,
278
  "step": 45
279
  },
280
  {
281
+ "epoch": 0.42,
282
+ "learning_rate": 9.889693803616793e-06,
283
+ "loss": 0.4692,
284
  "step": 46
285
  },
286
  {
287
+ "epoch": 0.43,
288
+ "learning_rate": 9.881705861268252e-06,
289
+ "loss": 0.4469,
290
  "step": 47
291
  },
292
  {
293
+ "epoch": 0.44,
294
+ "learning_rate": 9.873442168142158e-06,
295
+ "loss": 0.4389,
296
  "step": 48
297
  },
298
  {
299
+ "epoch": 0.45,
300
+ "learning_rate": 9.864903191026125e-06,
301
+ "loss": 0.4195,
302
  "step": 49
303
  },
304
  {
305
+ "epoch": 0.46,
306
+ "learning_rate": 9.856089412257605e-06,
307
+ "loss": 0.4635,
308
  "step": 50
309
  },
310
  {
311
+ "epoch": 0.47,
312
+ "learning_rate": 9.847001329696653e-06,
313
+ "loss": 0.4944,
314
  "step": 51
315
  },
316
  {
317
+ "epoch": 0.48,
318
+ "learning_rate": 9.837639456697802e-06,
319
+ "loss": 0.4917,
320
  "step": 52
321
  },
322
  {
323
+ "epoch": 0.49,
324
+ "learning_rate": 9.828004322081067e-06,
325
+ "loss": 0.4197,
326
  "step": 53
327
  },
328
  {
329
+ "epoch": 0.5,
330
+ "learning_rate": 9.818096470102067e-06,
331
+ "loss": 0.4294,
332
  "step": 54
333
  },
334
  {
335
+ "epoch": 0.5,
336
+ "learning_rate": 9.807916460421294e-06,
337
+ "loss": 0.4839,
338
  "step": 55
339
  },
340
  {
341
+ "epoch": 0.51,
342
+ "learning_rate": 9.797464868072489e-06,
343
+ "loss": 0.4918,
344
  "step": 56
345
  },
346
  {
347
+ "epoch": 0.52,
348
+ "learning_rate": 9.78674228343016e-06,
349
+ "loss": 0.5003,
350
  "step": 57
351
  },
352
  {
353
+ "epoch": 0.53,
354
+ "learning_rate": 9.775749312176249e-06,
355
+ "loss": 0.4864,
356
  "step": 58
357
  },
358
  {
359
+ "epoch": 0.54,
360
+ "learning_rate": 9.764486575265893e-06,
361
+ "loss": 0.4977,
362
  "step": 59
363
  },
364
  {
365
+ "epoch": 0.55,
366
+ "learning_rate": 9.752954708892379e-06,
367
+ "loss": 0.4125,
368
  "step": 60
369
  },
370
  {
371
+ "epoch": 0.56,
372
+ "learning_rate": 9.741154364451179e-06,
373
+ "loss": 0.4442,
374
  "step": 61
375
  },
376
  {
377
+ "epoch": 0.57,
378
+ "learning_rate": 9.729086208503174e-06,
379
+ "loss": 0.4624,
380
  "step": 62
381
  },
382
  {
383
+ "epoch": 0.58,
384
+ "learning_rate": 9.716750922736998e-06,
385
+ "loss": 0.3754,
386
  "step": 63
387
  },
388
  {
389
+ "epoch": 0.59,
390
+ "learning_rate": 9.704149203930522e-06,
391
+ "loss": 0.4218,
392
  "step": 64
393
  },
394
  {
395
+ "epoch": 0.6,
396
+ "learning_rate": 9.691281763911513e-06,
397
+ "loss": 0.4997,
398
  "step": 65
399
  },
400
  {
401
+ "epoch": 0.61,
402
+ "learning_rate": 9.67814932951741e-06,
403
+ "loss": 0.3829,
404
  "step": 66
405
  },
406
  {
407
+ "epoch": 0.61,
408
+ "learning_rate": 9.664752642554272e-06,
409
+ "loss": 0.3637,
410
  "step": 67
411
  },
412
  {
413
+ "epoch": 0.62,
414
+ "learning_rate": 9.651092459754879e-06,
415
+ "loss": 0.5271,
416
  "step": 68
417
  },
418
  {
419
+ "epoch": 0.63,
420
+ "learning_rate": 9.637169552735985e-06,
421
+ "loss": 0.4425,
422
  "step": 69
423
  },
424
  {
425
+ "epoch": 0.64,
426
+ "learning_rate": 9.622984707954732e-06,
427
+ "loss": 0.4109,
428
  "step": 70
429
  },
430
  {
431
+ "epoch": 0.65,
432
+ "learning_rate": 9.608538726664224e-06,
433
+ "loss": 0.3699,
434
  "step": 71
435
  },
436
  {
437
+ "epoch": 0.66,
438
+ "learning_rate": 9.593832424868271e-06,
439
+ "loss": 0.4199,
440
  "step": 72
441
  },
442
  {
443
+ "epoch": 0.67,
444
+ "learning_rate": 9.578866633275289e-06,
445
+ "loss": 0.4548,
446
  "step": 73
447
  },
448
  {
449
+ "epoch": 0.68,
450
+ "learning_rate": 9.563642197251382e-06,
451
+ "loss": 0.4464,
452
  "step": 74
453
  },
454
  {
455
+ "epoch": 0.69,
456
+ "learning_rate": 9.548159976772593e-06,
457
+ "loss": 0.4286,
458
  "step": 75
459
  },
460
  {
461
+ "epoch": 0.7,
462
+ "learning_rate": 9.532420846376316e-06,
463
+ "loss": 0.397,
464
  "step": 76
465
  },
466
  {
467
+ "epoch": 0.71,
468
+ "learning_rate": 9.516425695111906e-06,
469
+ "loss": 0.4522,
470
  "step": 77
471
  },
472
  {
473
+ "epoch": 0.72,
474
+ "learning_rate": 9.500175426490455e-06,
475
+ "loss": 0.4763,
476
  "step": 78
477
  },
478
  {
479
+ "epoch": 0.72,
480
+ "learning_rate": 9.48367095843376e-06,
481
+ "loss": 0.4386,
482
  "step": 79
483
  },
484
  {
485
+ "epoch": 0.73,
486
+ "learning_rate": 9.466913223222467e-06,
487
+ "loss": 0.411,
488
  "step": 80
489
  },
490
  {
491
+ "epoch": 0.74,
492
+ "learning_rate": 9.449903167443415e-06,
493
+ "loss": 0.3719,
494
  "step": 81
495
  },
496
  {
497
+ "epoch": 0.75,
498
+ "learning_rate": 9.432641751936162e-06,
499
+ "loss": 0.3693,
500
  "step": 82
501
  },
502
  {
503
+ "epoch": 0.76,
504
+ "learning_rate": 9.415129951738713e-06,
505
+ "loss": 0.3955,
506
  "step": 83
507
  },
508
  {
509
+ "epoch": 0.77,
510
+ "learning_rate": 9.397368756032445e-06,
511
+ "loss": 0.4196,
512
  "step": 84
513
  },
514
  {
515
+ "epoch": 0.78,
516
+ "learning_rate": 9.379359168086231e-06,
517
+ "loss": 0.4527,
518
  "step": 85
519
  },
520
  {
521
+ "epoch": 0.79,
522
+ "learning_rate": 9.361102205199762e-06,
523
+ "loss": 0.4054,
524
  "step": 86
525
  },
526
  {
527
+ "epoch": 0.8,
528
+ "learning_rate": 9.34259889864609e-06,
529
+ "loss": 0.4001,
530
  "step": 87
531
  },
532
  {
533
+ "epoch": 0.81,
534
+ "learning_rate": 9.32385029361338e-06,
535
+ "loss": 0.4189,
536
  "step": 88
537
  },
538
  {
539
+ "epoch": 0.82,
540
+ "learning_rate": 9.304857449145858e-06,
541
+ "loss": 0.439,
542
  "step": 89
543
  },
544
  {
545
+ "epoch": 0.83,
546
+ "learning_rate": 9.285621438083997e-06,
547
+ "loss": 0.4221,
548
  "step": 90
549
  },
550
  {
551
+ "epoch": 0.83,
552
+ "learning_rate": 9.26614334700392e-06,
553
+ "loss": 0.4208,
554
  "step": 91
555
  },
556
  {
557
+ "epoch": 0.84,
558
+ "learning_rate": 9.246424276156008e-06,
559
+ "loss": 0.4707,
560
  "step": 92
561
  },
562
  {
563
+ "epoch": 0.85,
564
+ "learning_rate": 9.226465339402768e-06,
565
+ "loss": 0.3372,
566
  "step": 93
567
  },
568
  {
569
+ "epoch": 0.86,
570
+ "learning_rate": 9.206267664155906e-06,
571
+ "loss": 0.3637,
572
  "step": 94
573
  },
574
  {
575
+ "epoch": 0.87,
576
+ "learning_rate": 9.185832391312644e-06,
577
+ "loss": 0.4146,
578
  "step": 95
579
  },
580
  {
581
+ "epoch": 0.88,
582
+ "learning_rate": 9.165160675191272e-06,
583
+ "loss": 0.393,
584
  "step": 96
585
  },
586
  {
587
+ "epoch": 0.89,
588
+ "learning_rate": 9.144253683465953e-06,
589
+ "loss": 0.4712,
590
  "step": 97
591
  },
592
  {
593
+ "epoch": 0.9,
594
+ "learning_rate": 9.123112597100759e-06,
595
+ "loss": 0.3904,
596
  "step": 98
597
  },
598
  {
599
+ "epoch": 0.91,
600
+ "learning_rate": 9.101738610282956e-06,
601
+ "loss": 0.4192,
602
  "step": 99
603
  },
604
  {
605
+ "epoch": 0.92,
606
+ "learning_rate": 9.080132930355567e-06,
607
+ "loss": 0.4039,
608
  "step": 100
609
  },
610
  {
611
+ "epoch": 0.93,
612
+ "learning_rate": 9.058296777749154e-06,
613
+ "loss": 0.4516,
614
  "step": 101
615
  },
616
  {
617
+ "epoch": 0.94,
618
+ "learning_rate": 9.03623138591289e-06,
619
+ "loss": 0.3348,
620
  "step": 102
621
  },
622
  {
623
+ "epoch": 0.94,
624
+ "learning_rate": 9.013938001244885e-06,
625
+ "loss": 0.4256,
626
  "step": 103
627
  },
628
  {
629
+ "epoch": 0.95,
630
+ "learning_rate": 8.99141788302178e-06,
631
+ "loss": 0.3774,
632
  "step": 104
633
  },
634
  {
635
+ "epoch": 0.96,
636
+ "learning_rate": 8.968672303327614e-06,
637
+ "loss": 0.4471,
638
  "step": 105
639
  },
640
  {
641
+ "epoch": 0.97,
642
+ "learning_rate": 8.94570254698197e-06,
643
+ "loss": 0.3771,
644
  "step": 106
645
  },
646
  {
647
+ "epoch": 0.98,
648
+ "learning_rate": 8.922509911467395e-06,
649
+ "loss": 0.4137,
650
  "step": 107
651
  },
652
  {
653
+ "epoch": 0.99,
654
+ "learning_rate": 8.899095706856122e-06,
655
+ "loss": 0.4269,
656
  "step": 108
657
  },
658
  {
659
+ "epoch": 1.0,
660
+ "learning_rate": 8.875461255736055e-06,
661
+ "loss": 0.4102,
662
  "step": 109
663
  },
664
  {
665
+ "epoch": 1.01,
666
+ "learning_rate": 8.851607893136065e-06,
667
+ "loss": 0.2619,
668
  "step": 110
669
  },
670
  {
671
+ "epoch": 1.02,
672
+ "learning_rate": 8.827536966450584e-06,
673
+ "loss": 0.2864,
674
  "step": 111
675
  },
676
  {
677
+ "epoch": 1.03,
678
+ "learning_rate": 8.803249835363486e-06,
679
+ "loss": 0.2712,
680
  "step": 112
681
  },
682
  {
683
+ "epoch": 1.04,
684
+ "learning_rate": 8.778747871771293e-06,
685
+ "loss": 0.2186,
686
  "step": 113
687
  },
688
  {
689
+ "epoch": 1.05,
690
+ "learning_rate": 8.754032459705672e-06,
691
+ "loss": 0.2585,
692
  "step": 114
693
  },
694
  {
695
+ "epoch": 1.06,
696
+ "learning_rate": 8.729104995255265e-06,
697
+ "loss": 0.2711,
698
  "step": 115
699
  },
700
  {
701
+ "epoch": 1.06,
702
+ "learning_rate": 8.703966886486819e-06,
703
+ "loss": 0.2801,
704
  "step": 116
705
  },
706
  {
707
+ "epoch": 1.07,
708
+ "learning_rate": 8.67861955336566e-06,
709
+ "loss": 0.2586,
710
  "step": 117
711
  },
712
  {
713
+ "epoch": 1.08,
714
+ "learning_rate": 8.65306442767547e-06,
715
+ "loss": 0.3134,
716
  "step": 118
717
  },
718
  {
719
+ "epoch": 1.09,
720
+ "learning_rate": 8.627302952937431e-06,
721
+ "loss": 0.2067,
722
  "step": 119
723
  },
724
  {
725
+ "epoch": 1.1,
726
+ "learning_rate": 8.601336584328659e-06,
727
+ "loss": 0.2637,
728
  "step": 120
729
  },
730
  {
731
+ "epoch": 1.11,
732
+ "learning_rate": 8.575166788600031e-06,
733
+ "loss": 0.2445,
734
  "step": 121
735
  },
736
  {
737
+ "epoch": 1.12,
738
+ "learning_rate": 8.548795043993316e-06,
739
+ "loss": 0.2456,
740
  "step": 122
741
  },
742
  {
743
+ "epoch": 1.13,
744
+ "learning_rate": 8.522222840157687e-06,
745
+ "loss": 0.2963,
746
  "step": 123
747
  },
748
  {
749
+ "epoch": 1.14,
750
+ "learning_rate": 8.495451678065563e-06,
751
+ "loss": 0.2781,
752
  "step": 124
753
  },
754
  {
755
+ "epoch": 1.15,
756
+ "learning_rate": 8.468483069927832e-06,
757
+ "loss": 0.2572,
758
  "step": 125
759
  },
760
  {
761
+ "epoch": 1.16,
762
+ "learning_rate": 8.441318539108433e-06,
763
+ "loss": 0.2473,
764
  "step": 126
765
  },
766
  {
767
+ "epoch": 1.17,
768
+ "learning_rate": 8.413959620038306e-06,
769
+ "loss": 0.1962,
770
  "step": 127
771
  },
772
  {
773
+ "epoch": 1.17,
774
+ "learning_rate": 8.386407858128707e-06,
775
+ "loss": 0.2644,
776
  "step": 128
777
  },
778
  {
779
+ "epoch": 1.18,
780
+ "learning_rate": 8.358664809683926e-06,
781
+ "loss": 0.2451,
782
  "step": 129
783
  },
784
  {
785
+ "epoch": 1.19,
786
+ "learning_rate": 8.330732041813367e-06,
787
+ "loss": 0.2801,
788
  "step": 130
789
  },
790
  {
791
+ "epoch": 1.2,
792
+ "learning_rate": 8.302611132343042e-06,
793
+ "loss": 0.2425,
794
  "step": 131
795
  },
796
  {
797
+ "epoch": 1.21,
798
+ "learning_rate": 8.274303669726427e-06,
799
+ "loss": 0.2113,
800
  "step": 132
801
  },
802
  {
803
+ "epoch": 1.22,
804
+ "learning_rate": 8.245811252954741e-06,
805
+ "loss": 0.2918,
806
+ "step": 133
807
+ },
808
+ {
809
+ "epoch": 1.23,
810
+ "learning_rate": 8.217135491466636e-06,
811
+ "loss": 0.2356,
812
+ "step": 134
813
+ },
814
+ {
815
+ "epoch": 1.24,
816
+ "learning_rate": 8.18827800505727e-06,
817
+ "loss": 0.2809,
818
+ "step": 135
819
+ },
820
+ {
821
+ "epoch": 1.25,
822
+ "learning_rate": 8.15924042378682e-06,
823
+ "loss": 0.2559,
824
+ "step": 136
825
+ },
826
+ {
827
+ "epoch": 1.26,
828
+ "learning_rate": 8.130024387888402e-06,
829
+ "loss": 0.2446,
830
+ "step": 137
831
+ },
832
+ {
833
+ "epoch": 1.27,
834
+ "learning_rate": 8.100631547675417e-06,
835
+ "loss": 0.2314,
836
+ "step": 138
837
+ },
838
+ {
839
+ "epoch": 1.28,
840
+ "learning_rate": 8.071063563448341e-06,
841
+ "loss": 0.2729,
842
+ "step": 139
843
+ },
844
+ {
845
+ "epoch": 1.28,
846
+ "learning_rate": 8.041322105400923e-06,
847
+ "loss": 0.2017,
848
+ "step": 140
849
+ },
850
+ {
851
+ "epoch": 1.29,
852
+ "learning_rate": 8.01140885352586e-06,
853
+ "loss": 0.2195,
854
+ "step": 141
855
+ },
856
+ {
857
+ "epoch": 1.3,
858
+ "learning_rate": 7.981325497519892e-06,
859
+ "loss": 0.2934,
860
+ "step": 142
861
+ },
862
+ {
863
+ "epoch": 1.31,
864
+ "learning_rate": 7.951073736688348e-06,
865
+ "loss": 0.2598,
866
+ "step": 143
867
+ },
868
+ {
869
+ "epoch": 1.32,
870
+ "learning_rate": 7.920655279849173e-06,
871
+ "loss": 0.2776,
872
+ "step": 144
873
+ },
874
+ {
875
+ "epoch": 1.33,
876
+ "learning_rate": 7.890071845236395e-06,
877
+ "loss": 0.2622,
878
+ "step": 145
879
+ },
880
+ {
881
+ "epoch": 1.34,
882
+ "learning_rate": 7.859325160403073e-06,
883
+ "loss": 0.2621,
884
+ "step": 146
885
+ },
886
+ {
887
+ "epoch": 1.35,
888
+ "learning_rate": 7.8284169621237e-06,
889
+ "loss": 0.2499,
890
+ "step": 147
891
+ },
892
+ {
893
+ "epoch": 1.36,
894
+ "learning_rate": 7.797348996296116e-06,
895
+ "loss": 0.28,
896
+ "step": 148
897
+ },
898
+ {
899
+ "epoch": 1.37,
900
+ "learning_rate": 7.766123017842877e-06,
901
+ "loss": 0.1906,
902
+ "step": 149
903
+ },
904
+ {
905
+ "epoch": 1.38,
906
+ "learning_rate": 7.734740790612137e-06,
907
+ "loss": 0.2373,
908
+ "step": 150
909
+ },
910
+ {
911
+ "epoch": 1.39,
912
+ "learning_rate": 7.703204087277989e-06,
913
+ "loss": 0.2,
914
+ "step": 151
915
+ },
916
+ {
917
+ "epoch": 1.39,
918
+ "learning_rate": 7.671514689240366e-06,
919
+ "loss": 0.2678,
920
+ "step": 152
921
+ },
922
+ {
923
+ "epoch": 1.4,
924
+ "learning_rate": 7.639674386524395e-06,
925
+ "loss": 0.2295,
926
+ "step": 153
927
+ },
928
+ {
929
+ "epoch": 1.41,
930
+ "learning_rate": 7.607684977679284e-06,
931
+ "loss": 0.2417,
932
+ "step": 154
933
+ },
934
+ {
935
+ "epoch": 1.42,
936
+ "learning_rate": 7.575548269676741e-06,
937
+ "loss": 0.2662,
938
+ "step": 155
939
+ },
940
+ {
941
+ "epoch": 1.43,
942
+ "learning_rate": 7.543266077808893e-06,
943
+ "loss": 0.2645,
944
+ "step": 156
945
+ },
946
+ {
947
+ "epoch": 1.44,
948
+ "learning_rate": 7.510840225585749e-06,
949
+ "loss": 0.2757,
950
+ "step": 157
951
+ },
952
+ {
953
+ "epoch": 1.45,
954
+ "learning_rate": 7.478272544632204e-06,
955
+ "loss": 0.2324,
956
+ "step": 158
957
+ },
958
+ {
959
+ "epoch": 1.46,
960
+ "learning_rate": 7.44556487458456e-06,
961
+ "loss": 0.2655,
962
+ "step": 159
963
+ },
964
+ {
965
+ "epoch": 1.47,
966
+ "learning_rate": 7.412719062986632e-06,
967
+ "loss": 0.2091,
968
+ "step": 160
969
+ },
970
+ {
971
+ "epoch": 1.48,
972
+ "learning_rate": 7.379736965185369e-06,
973
+ "loss": 0.2293,
974
+ "step": 161
975
+ },
976
+ {
977
+ "epoch": 1.49,
978
+ "learning_rate": 7.3466204442260605e-06,
979
+ "loss": 0.246,
980
+ "step": 162
981
+ },
982
+ {
983
+ "epoch": 1.5,
984
+ "learning_rate": 7.313371370747104e-06,
985
+ "loss": 0.2362,
986
+ "step": 163
987
+ },
988
+ {
989
+ "epoch": 1.5,
990
+ "learning_rate": 7.279991622874319e-06,
991
+ "loss": 0.2074,
992
+ "step": 164
993
+ },
994
+ {
995
+ "epoch": 1.51,
996
+ "learning_rate": 7.24648308611489e-06,
997
+ "loss": 0.2035,
998
+ "step": 165
999
+ },
1000
+ {
1001
+ "epoch": 1.52,
1002
+ "learning_rate": 7.212847653250828e-06,
1003
+ "loss": 0.3013,
1004
+ "step": 166
1005
+ },
1006
+ {
1007
+ "epoch": 1.53,
1008
+ "learning_rate": 7.1790872242320775e-06,
1009
+ "loss": 0.2286,
1010
+ "step": 167
1011
+ },
1012
+ {
1013
+ "epoch": 1.54,
1014
+ "learning_rate": 7.145203706069183e-06,
1015
+ "loss": 0.2005,
1016
+ "step": 168
1017
+ },
1018
+ {
1019
+ "epoch": 1.55,
1020
+ "learning_rate": 7.1111990127255684e-06,
1021
+ "loss": 0.2351,
1022
+ "step": 169
1023
+ },
1024
+ {
1025
+ "epoch": 1.56,
1026
+ "learning_rate": 7.0770750650094335e-06,
1027
+ "loss": 0.2378,
1028
+ "step": 170
1029
+ },
1030
+ {
1031
+ "epoch": 1.57,
1032
+ "learning_rate": 7.042833790465241e-06,
1033
+ "loss": 0.2557,
1034
+ "step": 171
1035
+ },
1036
+ {
1037
+ "epoch": 1.58,
1038
+ "learning_rate": 7.008477123264849e-06,
1039
+ "loss": 0.1742,
1040
+ "step": 172
1041
+ },
1042
+ {
1043
+ "epoch": 1.59,
1044
+ "learning_rate": 6.974007004098243e-06,
1045
+ "loss": 0.2862,
1046
+ "step": 173
1047
+ },
1048
+ {
1049
+ "epoch": 1.6,
1050
+ "learning_rate": 6.939425380063924e-06,
1051
+ "loss": 0.2359,
1052
+ "step": 174
1053
+ },
1054
+ {
1055
+ "epoch": 1.61,
1056
+ "learning_rate": 6.9047342045589224e-06,
1057
+ "loss": 0.2646,
1058
+ "step": 175
1059
+ },
1060
+ {
1061
+ "epoch": 1.61,
1062
+ "learning_rate": 6.869935437168449e-06,
1063
+ "loss": 0.2223,
1064
+ "step": 176
1065
+ },
1066
+ {
1067
+ "epoch": 1.62,
1068
+ "learning_rate": 6.835031043555211e-06,
1069
+ "loss": 0.2292,
1070
+ "step": 177
1071
+ },
1072
+ {
1073
+ "epoch": 1.63,
1074
+ "learning_rate": 6.800022995348381e-06,
1075
+ "loss": 0.2395,
1076
+ "step": 178
1077
+ },
1078
+ {
1079
+ "epoch": 1.64,
1080
+ "learning_rate": 6.76491327003222e-06,
1081
+ "loss": 0.2201,
1082
+ "step": 179
1083
+ },
1084
+ {
1085
+ "epoch": 1.65,
1086
+ "learning_rate": 6.729703850834381e-06,
1087
+ "loss": 0.2071,
1088
+ "step": 180
1089
+ },
1090
+ {
1091
+ "epoch": 1.66,
1092
+ "learning_rate": 6.694396726613883e-06,
1093
+ "loss": 0.2461,
1094
+ "step": 181
1095
+ },
1096
+ {
1097
+ "epoch": 1.67,
1098
+ "learning_rate": 6.65899389174876e-06,
1099
+ "loss": 0.2804,
1100
+ "step": 182
1101
+ },
1102
+ {
1103
+ "epoch": 1.68,
1104
+ "learning_rate": 6.6234973460234184e-06,
1105
+ "loss": 0.2859,
1106
+ "step": 183
1107
+ },
1108
+ {
1109
+ "epoch": 1.69,
1110
+ "learning_rate": 6.587909094515663e-06,
1111
+ "loss": 0.2358,
1112
+ "step": 184
1113
+ },
1114
+ {
1115
+ "epoch": 1.7,
1116
+ "learning_rate": 6.552231147483448e-06,
1117
+ "loss": 0.229,
1118
+ "step": 185
1119
+ },
1120
+ {
1121
+ "epoch": 1.71,
1122
+ "learning_rate": 6.5164655202513135e-06,
1123
+ "loss": 0.2673,
1124
+ "step": 186
1125
+ },
1126
+ {
1127
+ "epoch": 1.72,
1128
+ "learning_rate": 6.480614233096558e-06,
1129
+ "loss": 0.2169,
1130
+ "step": 187
1131
+ },
1132
+ {
1133
+ "epoch": 1.72,
1134
+ "learning_rate": 6.444679311135112e-06,
1135
+ "loss": 0.1908,
1136
+ "step": 188
1137
+ },
1138
+ {
1139
+ "epoch": 1.73,
1140
+ "learning_rate": 6.408662784207149e-06,
1141
+ "loss": 0.2167,
1142
+ "step": 189
1143
+ },
1144
+ {
1145
+ "epoch": 1.74,
1146
+ "learning_rate": 6.372566686762427e-06,
1147
+ "loss": 0.2533,
1148
+ "step": 190
1149
+ },
1150
+ {
1151
+ "epoch": 1.75,
1152
+ "learning_rate": 6.336393057745365e-06,
1153
+ "loss": 0.2361,
1154
+ "step": 191
1155
+ },
1156
+ {
1157
+ "epoch": 1.76,
1158
+ "learning_rate": 6.300143940479881e-06,
1159
+ "loss": 0.2396,
1160
+ "step": 192
1161
+ },
1162
+ {
1163
+ "epoch": 1.77,
1164
+ "learning_rate": 6.2638213825539595e-06,
1165
+ "loss": 0.2716,
1166
+ "step": 193
1167
+ },
1168
+ {
1169
+ "epoch": 1.78,
1170
+ "learning_rate": 6.227427435703997e-06,
1171
+ "loss": 0.2187,
1172
+ "step": 194
1173
+ },
1174
+ {
1175
+ "epoch": 1.79,
1176
+ "learning_rate": 6.190964155698903e-06,
1177
+ "loss": 0.2419,
1178
+ "step": 195
1179
+ },
1180
+ {
1181
+ "epoch": 1.8,
1182
+ "learning_rate": 6.154433602223979e-06,
1183
+ "loss": 0.2547,
1184
+ "step": 196
1185
+ },
1186
+ {
1187
+ "epoch": 1.81,
1188
+ "learning_rate": 6.117837838764579e-06,
1189
+ "loss": 0.2534,
1190
+ "step": 197
1191
+ },
1192
+ {
1193
+ "epoch": 1.82,
1194
+ "learning_rate": 6.0811789324895365e-06,
1195
+ "loss": 0.255,
1196
+ "step": 198
1197
+ },
1198
+ {
1199
+ "epoch": 1.83,
1200
+ "learning_rate": 6.044458954134411e-06,
1201
+ "loss": 0.2383,
1202
+ "step": 199
1203
+ },
1204
+ {
1205
+ "epoch": 1.83,
1206
+ "learning_rate": 6.0076799778845105e-06,
1207
+ "loss": 0.2407,
1208
+ "step": 200
1209
+ },
1210
+ {
1211
+ "epoch": 1.84,
1212
+ "learning_rate": 5.970844081257734e-06,
1213
+ "loss": 0.1883,
1214
+ "step": 201
1215
+ },
1216
+ {
1217
+ "epoch": 1.85,
1218
+ "learning_rate": 5.933953344987215e-06,
1219
+ "loss": 0.3112,
1220
+ "step": 202
1221
+ },
1222
+ {
1223
+ "epoch": 1.86,
1224
+ "learning_rate": 5.897009852903792e-06,
1225
+ "loss": 0.2424,
1226
+ "step": 203
1227
+ },
1228
+ {
1229
+ "epoch": 1.87,
1230
+ "learning_rate": 5.860015691818292e-06,
1231
+ "loss": 0.2663,
1232
+ "step": 204
1233
+ },
1234
+ {
1235
+ "epoch": 1.88,
1236
+ "learning_rate": 5.82297295140367e-06,
1237
+ "loss": 0.2616,
1238
+ "step": 205
1239
+ },
1240
+ {
1241
+ "epoch": 1.89,
1242
+ "learning_rate": 5.78588372407695e-06,
1243
+ "loss": 0.2067,
1244
+ "step": 206
1245
+ },
1246
+ {
1247
+ "epoch": 1.9,
1248
+ "learning_rate": 5.748750104881051e-06,
1249
+ "loss": 0.2092,
1250
+ "step": 207
1251
+ },
1252
+ {
1253
+ "epoch": 1.91,
1254
+ "learning_rate": 5.711574191366427e-06,
1255
+ "loss": 0.2383,
1256
+ "step": 208
1257
+ },
1258
+ {
1259
+ "epoch": 1.92,
1260
+ "learning_rate": 5.674358083472598e-06,
1261
+ "loss": 0.2377,
1262
+ "step": 209
1263
+ },
1264
+ {
1265
+ "epoch": 1.93,
1266
+ "learning_rate": 5.637103883409525e-06,
1267
+ "loss": 0.2415,
1268
+ "step": 210
1269
+ },
1270
+ {
1271
+ "epoch": 1.94,
1272
+ "learning_rate": 5.599813695538866e-06,
1273
+ "loss": 0.2478,
1274
+ "step": 211
1275
+ },
1276
+ {
1277
+ "epoch": 1.94,
1278
+ "learning_rate": 5.562489626255104e-06,
1279
+ "loss": 0.2752,
1280
+ "step": 212
1281
+ },
1282
+ {
1283
+ "epoch": 1.95,
1284
+ "learning_rate": 5.52513378386657e-06,
1285
+ "loss": 0.2133,
1286
+ "step": 213
1287
+ },
1288
+ {
1289
+ "epoch": 1.96,
1290
+ "learning_rate": 5.487748278476342e-06,
1291
+ "loss": 0.2043,
1292
+ "step": 214
1293
+ },
1294
+ {
1295
+ "epoch": 1.97,
1296
+ "learning_rate": 5.450335221863068e-06,
1297
+ "loss": 0.2664,
1298
+ "step": 215
1299
+ },
1300
+ {
1301
+ "epoch": 1.98,
1302
+ "learning_rate": 5.412896727361663e-06,
1303
+ "loss": 0.2617,
1304
+ "step": 216
1305
+ },
1306
+ {
1307
+ "epoch": 1.99,
1308
+ "learning_rate": 5.375434909743942e-06,
1309
+ "loss": 0.2001,
1310
+ "step": 217
1311
+ },
1312
+ {
1313
+ "epoch": 2.0,
1314
+ "learning_rate": 5.337951885099167e-06,
1315
+ "loss": 0.2353,
1316
+ "step": 218
1317
+ },
1318
+ {
1319
+ "epoch": 2.01,
1320
+ "learning_rate": 5.300449770714502e-06,
1321
+ "loss": 0.112,
1322
+ "step": 219
1323
+ },
1324
+ {
1325
+ "epoch": 2.02,
1326
+ "learning_rate": 5.262930684955439e-06,
1327
+ "loss": 0.1022,
1328
+ "step": 220
1329
+ },
1330
+ {
1331
+ "epoch": 2.03,
1332
+ "learning_rate": 5.225396747146112e-06,
1333
+ "loss": 0.1263,
1334
+ "step": 221
1335
+ },
1336
+ {
1337
+ "epoch": 2.04,
1338
+ "learning_rate": 5.187850077449604e-06,
1339
+ "loss": 0.1059,
1340
+ "step": 222
1341
+ },
1342
+ {
1343
+ "epoch": 2.05,
1344
+ "learning_rate": 5.150292796748174e-06,
1345
+ "loss": 0.1101,
1346
+ "step": 223
1347
+ },
1348
+ {
1349
+ "epoch": 2.06,
1350
+ "learning_rate": 5.112727026523461e-06,
1351
+ "loss": 0.1274,
1352
+ "step": 224
1353
+ },
1354
+ {
1355
+ "epoch": 2.06,
1356
+ "learning_rate": 5.075154888736653e-06,
1357
+ "loss": 0.1604,
1358
+ "step": 225
1359
+ },
1360
+ {
1361
+ "epoch": 2.07,
1362
+ "learning_rate": 5.03757850570861e-06,
1363
+ "loss": 0.1067,
1364
+ "step": 226
1365
+ },
1366
+ {
1367
+ "epoch": 2.08,
1368
+ "learning_rate": 5e-06,
1369
+ "loss": 0.1124,
1370
+ "step": 227
1371
+ },
1372
+ {
1373
+ "epoch": 2.09,
1374
+ "learning_rate": 4.9624214942913916e-06,
1375
+ "loss": 0.0976,
1376
+ "step": 228
1377
+ },
1378
+ {
1379
+ "epoch": 2.1,
1380
+ "learning_rate": 4.924845111263349e-06,
1381
+ "loss": 0.1094,
1382
+ "step": 229
1383
+ },
1384
+ {
1385
+ "epoch": 2.11,
1386
+ "learning_rate": 4.88727297347654e-06,
1387
+ "loss": 0.1156,
1388
+ "step": 230
1389
+ },
1390
+ {
1391
+ "epoch": 2.12,
1392
+ "learning_rate": 4.8497072032518274e-06,
1393
+ "loss": 0.1201,
1394
+ "step": 231
1395
+ },
1396
+ {
1397
+ "epoch": 2.13,
1398
+ "learning_rate": 4.8121499225503974e-06,
1399
+ "loss": 0.1053,
1400
+ "step": 232
1401
+ },
1402
+ {
1403
+ "epoch": 2.14,
1404
+ "learning_rate": 4.774603252853889e-06,
1405
+ "loss": 0.1344,
1406
+ "step": 233
1407
+ },
1408
+ {
1409
+ "epoch": 2.15,
1410
+ "learning_rate": 4.737069315044562e-06,
1411
+ "loss": 0.1171,
1412
+ "step": 234
1413
+ },
1414
+ {
1415
+ "epoch": 2.16,
1416
+ "learning_rate": 4.699550229285499e-06,
1417
+ "loss": 0.0906,
1418
+ "step": 235
1419
+ },
1420
+ {
1421
+ "epoch": 2.17,
1422
+ "learning_rate": 4.662048114900837e-06,
1423
+ "loss": 0.1313,
1424
+ "step": 236
1425
+ },
1426
+ {
1427
+ "epoch": 2.17,
1428
+ "learning_rate": 4.624565090256059e-06,
1429
+ "loss": 0.1096,
1430
+ "step": 237
1431
+ },
1432
+ {
1433
+ "epoch": 2.18,
1434
+ "learning_rate": 4.587103272638339e-06,
1435
+ "loss": 0.1185,
1436
+ "step": 238
1437
+ },
1438
+ {
1439
+ "epoch": 2.19,
1440
+ "learning_rate": 4.549664778136933e-06,
1441
+ "loss": 0.1372,
1442
+ "step": 239
1443
+ },
1444
+ {
1445
+ "epoch": 2.2,
1446
+ "learning_rate": 4.512251721523659e-06,
1447
+ "loss": 0.1042,
1448
+ "step": 240
1449
+ },
1450
+ {
1451
+ "epoch": 2.21,
1452
+ "learning_rate": 4.4748662161334335e-06,
1453
+ "loss": 0.1185,
1454
+ "step": 241
1455
+ },
1456
+ {
1457
+ "epoch": 2.22,
1458
+ "learning_rate": 4.437510373744897e-06,
1459
+ "loss": 0.1448,
1460
+ "step": 242
1461
+ },
1462
+ {
1463
+ "epoch": 2.23,
1464
+ "learning_rate": 4.400186304461136e-06,
1465
+ "loss": 0.113,
1466
+ "step": 243
1467
+ },
1468
+ {
1469
+ "epoch": 2.24,
1470
+ "learning_rate": 4.362896116590475e-06,
1471
+ "loss": 0.1211,
1472
+ "step": 244
1473
+ },
1474
+ {
1475
+ "epoch": 2.25,
1476
+ "learning_rate": 4.325641916527405e-06,
1477
+ "loss": 0.132,
1478
+ "step": 245
1479
+ },
1480
+ {
1481
+ "epoch": 2.26,
1482
+ "learning_rate": 4.2884258086335755e-06,
1483
+ "loss": 0.1105,
1484
+ "step": 246
1485
+ },
1486
+ {
1487
+ "epoch": 2.27,
1488
+ "learning_rate": 4.25124989511895e-06,
1489
+ "loss": 0.0987,
1490
+ "step": 247
1491
+ },
1492
+ {
1493
+ "epoch": 2.28,
1494
+ "learning_rate": 4.214116275923051e-06,
1495
+ "loss": 0.1197,
1496
+ "step": 248
1497
+ },
1498
+ {
1499
+ "epoch": 2.28,
1500
+ "learning_rate": 4.17702704859633e-06,
1501
+ "loss": 0.1334,
1502
+ "step": 249
1503
+ },
1504
+ {
1505
+ "epoch": 2.29,
1506
+ "learning_rate": 4.1399843081817085e-06,
1507
+ "loss": 0.1468,
1508
+ "step": 250
1509
+ },
1510
+ {
1511
+ "epoch": 2.3,
1512
+ "learning_rate": 4.1029901470962105e-06,
1513
+ "loss": 0.1161,
1514
+ "step": 251
1515
+ },
1516
+ {
1517
+ "epoch": 2.31,
1518
+ "learning_rate": 4.066046655012786e-06,
1519
+ "loss": 0.1106,
1520
+ "step": 252
1521
+ },
1522
+ {
1523
+ "epoch": 2.32,
1524
+ "learning_rate": 4.029155918742268e-06,
1525
+ "loss": 0.1234,
1526
+ "step": 253
1527
+ },
1528
+ {
1529
+ "epoch": 2.33,
1530
+ "learning_rate": 3.992320022115492e-06,
1531
+ "loss": 0.1261,
1532
+ "step": 254
1533
+ },
1534
+ {
1535
+ "epoch": 2.34,
1536
+ "learning_rate": 3.955541045865591e-06,
1537
+ "loss": 0.1011,
1538
+ "step": 255
1539
+ },
1540
+ {
1541
+ "epoch": 2.35,
1542
+ "learning_rate": 3.918821067510464e-06,
1543
+ "loss": 0.1058,
1544
+ "step": 256
1545
+ },
1546
+ {
1547
+ "epoch": 2.36,
1548
+ "learning_rate": 3.882162161235421e-06,
1549
+ "loss": 0.1002,
1550
+ "step": 257
1551
+ },
1552
+ {
1553
+ "epoch": 2.37,
1554
+ "learning_rate": 3.845566397776022e-06,
1555
+ "loss": 0.1023,
1556
+ "step": 258
1557
+ },
1558
+ {
1559
+ "epoch": 2.38,
1560
+ "learning_rate": 3.8090358443010993e-06,
1561
+ "loss": 0.1174,
1562
+ "step": 259
1563
+ },
1564
+ {
1565
+ "epoch": 2.39,
1566
+ "learning_rate": 3.7725725642960047e-06,
1567
+ "loss": 0.111,
1568
+ "step": 260
1569
+ },
1570
+ {
1571
+ "epoch": 2.39,
1572
+ "learning_rate": 3.7361786174460414e-06,
1573
+ "loss": 0.0948,
1574
+ "step": 261
1575
+ },
1576
+ {
1577
+ "epoch": 2.4,
1578
+ "learning_rate": 3.6998560595201188e-06,
1579
+ "loss": 0.0972,
1580
+ "step": 262
1581
+ },
1582
+ {
1583
+ "epoch": 2.41,
1584
+ "learning_rate": 3.6636069422546363e-06,
1585
+ "loss": 0.0982,
1586
+ "step": 263
1587
+ },
1588
+ {
1589
+ "epoch": 2.42,
1590
+ "learning_rate": 3.627433313237576e-06,
1591
+ "loss": 0.1374,
1592
+ "step": 264
1593
+ },
1594
+ {
1595
+ "epoch": 2.43,
1596
+ "learning_rate": 3.5913372157928515e-06,
1597
+ "loss": 0.0988,
1598
+ "step": 265
1599
+ },
1600
+ {
1601
+ "epoch": 2.44,
1602
+ "learning_rate": 3.555320688864889e-06,
1603
+ "loss": 0.1281,
1604
+ "step": 266
1605
+ },
1606
+ {
1607
+ "epoch": 2.45,
1608
+ "learning_rate": 3.519385766903442e-06,
1609
+ "loss": 0.1273,
1610
+ "step": 267
1611
+ },
1612
+ {
1613
+ "epoch": 2.46,
1614
+ "learning_rate": 3.483534479748688e-06,
1615
+ "loss": 0.1256,
1616
+ "step": 268
1617
+ },
1618
+ {
1619
+ "epoch": 2.47,
1620
+ "learning_rate": 3.447768852516554e-06,
1621
+ "loss": 0.1131,
1622
+ "step": 269
1623
+ },
1624
+ {
1625
+ "epoch": 2.48,
1626
+ "learning_rate": 3.4120909054843375e-06,
1627
+ "loss": 0.0974,
1628
+ "step": 270
1629
+ },
1630
+ {
1631
+ "epoch": 2.49,
1632
+ "learning_rate": 3.3765026539765832e-06,
1633
+ "loss": 0.1233,
1634
+ "step": 271
1635
+ },
1636
+ {
1637
+ "epoch": 2.5,
1638
+ "learning_rate": 3.3410061082512422e-06,
1639
+ "loss": 0.1175,
1640
+ "step": 272
1641
+ },
1642
+ {
1643
+ "epoch": 2.5,
1644
+ "learning_rate": 3.3056032733861188e-06,
1645
+ "loss": 0.1178,
1646
+ "step": 273
1647
+ },
1648
+ {
1649
+ "epoch": 2.51,
1650
+ "learning_rate": 3.2702961491656197e-06,
1651
+ "loss": 0.11,
1652
+ "step": 274
1653
+ },
1654
+ {
1655
+ "epoch": 2.52,
1656
+ "learning_rate": 3.2350867299677802e-06,
1657
+ "loss": 0.1091,
1658
+ "step": 275
1659
+ },
1660
+ {
1661
+ "epoch": 2.53,
1662
+ "learning_rate": 3.1999770046516198e-06,
1663
+ "loss": 0.1146,
1664
+ "step": 276
1665
+ },
1666
+ {
1667
+ "epoch": 2.54,
1668
+ "learning_rate": 3.164968956444791e-06,
1669
+ "loss": 0.0945,
1670
+ "step": 277
1671
+ },
1672
+ {
1673
+ "epoch": 2.55,
1674
+ "learning_rate": 3.130064562831553e-06,
1675
+ "loss": 0.1216,
1676
+ "step": 278
1677
+ },
1678
+ {
1679
+ "epoch": 2.56,
1680
+ "learning_rate": 3.0952657954410792e-06,
1681
+ "loss": 0.1273,
1682
+ "step": 279
1683
+ },
1684
+ {
1685
+ "epoch": 2.57,
1686
+ "learning_rate": 3.0605746199360755e-06,
1687
+ "loss": 0.1161,
1688
+ "step": 280
1689
+ },
1690
+ {
1691
+ "epoch": 2.58,
1692
+ "learning_rate": 3.0259929959017585e-06,
1693
+ "loss": 0.1395,
1694
+ "step": 281
1695
+ },
1696
+ {
1697
+ "epoch": 2.59,
1698
+ "learning_rate": 2.991522876735154e-06,
1699
+ "loss": 0.1224,
1700
+ "step": 282
1701
+ },
1702
+ {
1703
+ "epoch": 2.6,
1704
+ "learning_rate": 2.95716620953476e-06,
1705
+ "loss": 0.1052,
1706
+ "step": 283
1707
+ },
1708
+ {
1709
+ "epoch": 2.61,
1710
+ "learning_rate": 2.9229249349905686e-06,
1711
+ "loss": 0.1383,
1712
+ "step": 284
1713
+ },
1714
+ {
1715
+ "epoch": 2.61,
1716
+ "learning_rate": 2.8888009872744332e-06,
1717
+ "loss": 0.0985,
1718
+ "step": 285
1719
+ },
1720
+ {
1721
+ "epoch": 2.62,
1722
+ "learning_rate": 2.8547962939308187e-06,
1723
+ "loss": 0.1164,
1724
+ "step": 286
1725
+ },
1726
+ {
1727
+ "epoch": 2.63,
1728
+ "learning_rate": 2.8209127757679246e-06,
1729
+ "loss": 0.095,
1730
+ "step": 287
1731
+ },
1732
+ {
1733
+ "epoch": 2.64,
1734
+ "learning_rate": 2.787152346749173e-06,
1735
+ "loss": 0.1308,
1736
+ "step": 288
1737
+ },
1738
+ {
1739
+ "epoch": 2.65,
1740
+ "learning_rate": 2.7535169138851124e-06,
1741
+ "loss": 0.1336,
1742
+ "step": 289
1743
+ },
1744
+ {
1745
+ "epoch": 2.66,
1746
+ "learning_rate": 2.720008377125682e-06,
1747
+ "loss": 0.0952,
1748
+ "step": 290
1749
+ },
1750
+ {
1751
+ "epoch": 2.67,
1752
+ "learning_rate": 2.686628629252899e-06,
1753
+ "loss": 0.134,
1754
+ "step": 291
1755
+ },
1756
+ {
1757
+ "epoch": 2.68,
1758
+ "learning_rate": 2.6533795557739407e-06,
1759
+ "loss": 0.1008,
1760
+ "step": 292
1761
+ },
1762
+ {
1763
+ "epoch": 2.69,
1764
+ "learning_rate": 2.6202630348146323e-06,
1765
+ "loss": 0.0938,
1766
+ "step": 293
1767
+ },
1768
+ {
1769
+ "epoch": 2.7,
1770
+ "learning_rate": 2.5872809370133704e-06,
1771
+ "loss": 0.1146,
1772
+ "step": 294
1773
+ },
1774
+ {
1775
+ "epoch": 2.71,
1776
+ "learning_rate": 2.5544351254154407e-06,
1777
+ "loss": 0.0909,
1778
+ "step": 295
1779
+ },
1780
+ {
1781
+ "epoch": 2.72,
1782
+ "learning_rate": 2.5217274553677975e-06,
1783
+ "loss": 0.1054,
1784
+ "step": 296
1785
+ },
1786
+ {
1787
+ "epoch": 2.72,
1788
+ "learning_rate": 2.489159774414252e-06,
1789
+ "loss": 0.0909,
1790
+ "step": 297
1791
+ },
1792
+ {
1793
+ "epoch": 2.73,
1794
+ "learning_rate": 2.4567339221911086e-06,
1795
+ "loss": 0.0918,
1796
+ "step": 298
1797
+ },
1798
+ {
1799
+ "epoch": 2.74,
1800
+ "learning_rate": 2.424451730323261e-06,
1801
+ "loss": 0.1043,
1802
+ "step": 299
1803
+ },
1804
+ {
1805
+ "epoch": 2.75,
1806
+ "learning_rate": 2.3923150223207176e-06,
1807
+ "loss": 0.1139,
1808
+ "step": 300
1809
+ },
1810
+ {
1811
+ "epoch": 2.76,
1812
+ "learning_rate": 2.3603256134756066e-06,
1813
+ "loss": 0.0958,
1814
+ "step": 301
1815
+ },
1816
+ {
1817
+ "epoch": 2.77,
1818
+ "learning_rate": 2.328485310759635e-06,
1819
+ "loss": 0.1115,
1820
+ "step": 302
1821
+ },
1822
+ {
1823
+ "epoch": 2.78,
1824
+ "learning_rate": 2.296795912722014e-06,
1825
+ "loss": 0.092,
1826
+ "step": 303
1827
+ },
1828
+ {
1829
+ "epoch": 2.79,
1830
+ "learning_rate": 2.265259209387867e-06,
1831
+ "loss": 0.1011,
1832
+ "step": 304
1833
+ },
1834
+ {
1835
+ "epoch": 2.8,
1836
+ "learning_rate": 2.2338769821571225e-06,
1837
+ "loss": 0.106,
1838
+ "step": 305
1839
+ },
1840
+ {
1841
+ "epoch": 2.81,
1842
+ "learning_rate": 2.202651003703885e-06,
1843
+ "loss": 0.1053,
1844
+ "step": 306
1845
+ },
1846
+ {
1847
+ "epoch": 2.82,
1848
+ "learning_rate": 2.1715830378763025e-06,
1849
+ "loss": 0.1314,
1850
+ "step": 307
1851
+ },
1852
+ {
1853
+ "epoch": 2.83,
1854
+ "learning_rate": 2.140674839596931e-06,
1855
+ "loss": 0.1252,
1856
+ "step": 308
1857
+ },
1858
+ {
1859
+ "epoch": 2.83,
1860
+ "learning_rate": 2.109928154763606e-06,
1861
+ "loss": 0.1032,
1862
+ "step": 309
1863
+ },
1864
+ {
1865
+ "epoch": 2.84,
1866
+ "learning_rate": 2.0793447201508288e-06,
1867
+ "loss": 0.0911,
1868
+ "step": 310
1869
+ },
1870
+ {
1871
+ "epoch": 2.85,
1872
+ "learning_rate": 2.0489262633116536e-06,
1873
+ "loss": 0.0865,
1874
+ "step": 311
1875
+ },
1876
+ {
1877
+ "epoch": 2.86,
1878
+ "learning_rate": 2.01867450248011e-06,
1879
+ "loss": 0.1087,
1880
+ "step": 312
1881
+ },
1882
+ {
1883
+ "epoch": 2.87,
1884
+ "learning_rate": 1.9885911464741413e-06,
1885
+ "loss": 0.1136,
1886
+ "step": 313
1887
+ },
1888
+ {
1889
+ "epoch": 2.88,
1890
+ "learning_rate": 1.9586778945990785e-06,
1891
+ "loss": 0.0873,
1892
+ "step": 314
1893
+ },
1894
+ {
1895
+ "epoch": 2.89,
1896
+ "learning_rate": 1.928936436551661e-06,
1897
+ "loss": 0.1155,
1898
+ "step": 315
1899
+ },
1900
+ {
1901
+ "epoch": 2.9,
1902
+ "learning_rate": 1.8993684523245842e-06,
1903
+ "loss": 0.117,
1904
+ "step": 316
1905
+ },
1906
+ {
1907
+ "epoch": 2.91,
1908
+ "learning_rate": 1.8699756121115997e-06,
1909
+ "loss": 0.1083,
1910
+ "step": 317
1911
+ },
1912
+ {
1913
+ "epoch": 2.92,
1914
+ "learning_rate": 1.8407595762131814e-06,
1915
+ "loss": 0.1099,
1916
+ "step": 318
1917
+ },
1918
+ {
1919
+ "epoch": 2.93,
1920
+ "learning_rate": 1.811721994942731e-06,
1921
+ "loss": 0.1183,
1922
+ "step": 319
1923
+ },
1924
+ {
1925
+ "epoch": 2.94,
1926
+ "learning_rate": 1.7828645085333645e-06,
1927
+ "loss": 0.1168,
1928
+ "step": 320
1929
+ },
1930
+ {
1931
+ "epoch": 2.94,
1932
+ "learning_rate": 1.7541887470452606e-06,
1933
+ "loss": 0.0985,
1934
+ "step": 321
1935
+ },
1936
+ {
1937
+ "epoch": 2.95,
1938
+ "learning_rate": 1.7256963302735752e-06,
1939
+ "loss": 0.1012,
1940
+ "step": 322
1941
+ },
1942
+ {
1943
+ "epoch": 2.96,
1944
+ "learning_rate": 1.6973888676569594e-06,
1945
+ "loss": 0.1107,
1946
+ "step": 323
1947
+ },
1948
+ {
1949
+ "epoch": 2.97,
1950
+ "learning_rate": 1.6692679581866334e-06,
1951
+ "loss": 0.1301,
1952
+ "step": 324
1953
+ },
1954
+ {
1955
+ "epoch": 2.98,
1956
+ "learning_rate": 1.6413351903160763e-06,
1957
+ "loss": 0.1022,
1958
+ "step": 325
1959
+ },
1960
+ {
1961
+ "epoch": 2.99,
1962
+ "learning_rate": 1.6135921418712959e-06,
1963
+ "loss": 0.1213,
1964
+ "step": 326
1965
+ },
1966
+ {
1967
+ "epoch": 3.0,
1968
+ "learning_rate": 1.5860403799616951e-06,
1969
+ "loss": 0.1093,
1970
+ "step": 327
1971
+ },
1972
+ {
1973
+ "epoch": 3.01,
1974
+ "learning_rate": 1.5586814608915673e-06,
1975
+ "loss": 0.0554,
1976
+ "step": 328
1977
+ },
1978
+ {
1979
+ "epoch": 3.02,
1980
+ "learning_rate": 1.5315169300721694e-06,
1981
+ "loss": 0.084,
1982
+ "step": 329
1983
+ },
1984
+ {
1985
+ "epoch": 3.03,
1986
+ "learning_rate": 1.5045483219344387e-06,
1987
+ "loss": 0.0741,
1988
+ "step": 330
1989
  }
1990
  ],
1991
+ "max_steps": 436,
1992
+ "num_train_epochs": 4,
1993
+ "total_flos": 1.2638375430617825e+18,
1994
  "trial_name": null,
1995
  "trial_params": null
1996
  }
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b360d54d17b37e6a0fa07b8dbabae6c6ea81daf84741915c8708c2ee4b18f843
3
  size 4091
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:230e2de2b3c1ee9465cc7ecb9d3d138cecd7230b0261d72773fc5adf1461a099
3
  size 4091