chavinlo commited on
Commit
0190cbd
1 Parent(s): bcbad2d

Upload checkpoint-1000/trainer_state.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. checkpoint-1000/trainer_state.json +656 -0
checkpoint-1000/trainer_state.json ADDED
@@ -0,0 +1,656 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.8102368116378784,
3
+ "best_model_checkpoint": "./lora-alpaca/checkpoint-1000",
4
+ "epoch": 2.5624599615631007,
5
+ "global_step": 1000,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.03,
12
+ "learning_rate": 1e-05,
13
+ "loss": 2.0409,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.05,
18
+ "learning_rate": 2e-05,
19
+ "loss": 2.1188,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.08,
24
+ "learning_rate": 3e-05,
25
+ "loss": 2.0143,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.1,
30
+ "learning_rate": 4e-05,
31
+ "loss": 1.8108,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 0.13,
36
+ "learning_rate": 5e-05,
37
+ "loss": 1.4764,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 0.15,
42
+ "learning_rate": 6e-05,
43
+ "loss": 1.1516,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 0.18,
48
+ "learning_rate": 6.9e-05,
49
+ "loss": 0.9453,
50
+ "step": 70
51
+ },
52
+ {
53
+ "epoch": 0.2,
54
+ "learning_rate": 7.900000000000001e-05,
55
+ "loss": 0.8503,
56
+ "step": 80
57
+ },
58
+ {
59
+ "epoch": 0.23,
60
+ "learning_rate": 8.900000000000001e-05,
61
+ "loss": 0.8352,
62
+ "step": 90
63
+ },
64
+ {
65
+ "epoch": 0.26,
66
+ "learning_rate": 9.900000000000001e-05,
67
+ "loss": 0.7635,
68
+ "step": 100
69
+ },
70
+ {
71
+ "epoch": 0.28,
72
+ "learning_rate": 9.91588785046729e-05,
73
+ "loss": 0.8399,
74
+ "step": 110
75
+ },
76
+ {
77
+ "epoch": 0.31,
78
+ "learning_rate": 9.822429906542057e-05,
79
+ "loss": 0.7683,
80
+ "step": 120
81
+ },
82
+ {
83
+ "epoch": 0.33,
84
+ "learning_rate": 9.728971962616824e-05,
85
+ "loss": 0.7774,
86
+ "step": 130
87
+ },
88
+ {
89
+ "epoch": 0.36,
90
+ "learning_rate": 9.635514018691589e-05,
91
+ "loss": 0.7912,
92
+ "step": 140
93
+ },
94
+ {
95
+ "epoch": 0.38,
96
+ "learning_rate": 9.542056074766356e-05,
97
+ "loss": 0.7262,
98
+ "step": 150
99
+ },
100
+ {
101
+ "epoch": 0.41,
102
+ "learning_rate": 9.448598130841123e-05,
103
+ "loss": 0.8167,
104
+ "step": 160
105
+ },
106
+ {
107
+ "epoch": 0.44,
108
+ "learning_rate": 9.355140186915888e-05,
109
+ "loss": 0.7634,
110
+ "step": 170
111
+ },
112
+ {
113
+ "epoch": 0.46,
114
+ "learning_rate": 9.261682242990655e-05,
115
+ "loss": 0.7666,
116
+ "step": 180
117
+ },
118
+ {
119
+ "epoch": 0.49,
120
+ "learning_rate": 9.168224299065422e-05,
121
+ "loss": 0.7943,
122
+ "step": 190
123
+ },
124
+ {
125
+ "epoch": 0.51,
126
+ "learning_rate": 9.074766355140187e-05,
127
+ "loss": 0.7366,
128
+ "step": 200
129
+ },
130
+ {
131
+ "epoch": 0.51,
132
+ "eval_loss": 0.8413083553314209,
133
+ "eval_runtime": 68.432,
134
+ "eval_samples_per_second": 29.226,
135
+ "eval_steps_per_second": 0.468,
136
+ "step": 200
137
+ },
138
+ {
139
+ "epoch": 0.54,
140
+ "learning_rate": 8.981308411214954e-05,
141
+ "loss": 0.8029,
142
+ "step": 210
143
+ },
144
+ {
145
+ "epoch": 0.56,
146
+ "learning_rate": 8.88785046728972e-05,
147
+ "loss": 0.7383,
148
+ "step": 220
149
+ },
150
+ {
151
+ "epoch": 0.59,
152
+ "learning_rate": 8.794392523364486e-05,
153
+ "loss": 0.7692,
154
+ "step": 230
155
+ },
156
+ {
157
+ "epoch": 0.61,
158
+ "learning_rate": 8.700934579439253e-05,
159
+ "loss": 0.7673,
160
+ "step": 240
161
+ },
162
+ {
163
+ "epoch": 0.64,
164
+ "learning_rate": 8.607476635514018e-05,
165
+ "loss": 0.7129,
166
+ "step": 250
167
+ },
168
+ {
169
+ "epoch": 0.67,
170
+ "learning_rate": 8.514018691588785e-05,
171
+ "loss": 0.7913,
172
+ "step": 260
173
+ },
174
+ {
175
+ "epoch": 0.69,
176
+ "learning_rate": 8.420560747663552e-05,
177
+ "loss": 0.7432,
178
+ "step": 270
179
+ },
180
+ {
181
+ "epoch": 0.72,
182
+ "learning_rate": 8.327102803738318e-05,
183
+ "loss": 0.7617,
184
+ "step": 280
185
+ },
186
+ {
187
+ "epoch": 0.74,
188
+ "learning_rate": 8.233644859813084e-05,
189
+ "loss": 0.7783,
190
+ "step": 290
191
+ },
192
+ {
193
+ "epoch": 0.77,
194
+ "learning_rate": 8.140186915887851e-05,
195
+ "loss": 0.7146,
196
+ "step": 300
197
+ },
198
+ {
199
+ "epoch": 0.79,
200
+ "learning_rate": 8.046728971962617e-05,
201
+ "loss": 0.7992,
202
+ "step": 310
203
+ },
204
+ {
205
+ "epoch": 0.82,
206
+ "learning_rate": 7.953271028037383e-05,
207
+ "loss": 0.738,
208
+ "step": 320
209
+ },
210
+ {
211
+ "epoch": 0.85,
212
+ "learning_rate": 7.85981308411215e-05,
213
+ "loss": 0.7477,
214
+ "step": 330
215
+ },
216
+ {
217
+ "epoch": 0.87,
218
+ "learning_rate": 7.766355140186916e-05,
219
+ "loss": 0.7698,
220
+ "step": 340
221
+ },
222
+ {
223
+ "epoch": 0.9,
224
+ "learning_rate": 7.672897196261682e-05,
225
+ "loss": 0.714,
226
+ "step": 350
227
+ },
228
+ {
229
+ "epoch": 0.92,
230
+ "learning_rate": 7.579439252336449e-05,
231
+ "loss": 0.7939,
232
+ "step": 360
233
+ },
234
+ {
235
+ "epoch": 0.95,
236
+ "learning_rate": 7.485981308411215e-05,
237
+ "loss": 0.7394,
238
+ "step": 370
239
+ },
240
+ {
241
+ "epoch": 0.97,
242
+ "learning_rate": 7.392523364485982e-05,
243
+ "loss": 0.7481,
244
+ "step": 380
245
+ },
246
+ {
247
+ "epoch": 1.0,
248
+ "learning_rate": 7.299065420560748e-05,
249
+ "loss": 0.7446,
250
+ "step": 390
251
+ },
252
+ {
253
+ "epoch": 1.02,
254
+ "learning_rate": 7.205607476635514e-05,
255
+ "loss": 0.7805,
256
+ "step": 400
257
+ },
258
+ {
259
+ "epoch": 1.02,
260
+ "eval_loss": 0.8240922093391418,
261
+ "eval_runtime": 68.3178,
262
+ "eval_samples_per_second": 29.275,
263
+ "eval_steps_per_second": 0.468,
264
+ "step": 400
265
+ },
266
+ {
267
+ "epoch": 1.05,
268
+ "learning_rate": 7.11214953271028e-05,
269
+ "loss": 0.7309,
270
+ "step": 410
271
+ },
272
+ {
273
+ "epoch": 1.08,
274
+ "learning_rate": 7.018691588785047e-05,
275
+ "loss": 0.7595,
276
+ "step": 420
277
+ },
278
+ {
279
+ "epoch": 1.1,
280
+ "learning_rate": 6.925233644859813e-05,
281
+ "loss": 0.7693,
282
+ "step": 430
283
+ },
284
+ {
285
+ "epoch": 1.13,
286
+ "learning_rate": 6.83177570093458e-05,
287
+ "loss": 0.7108,
288
+ "step": 440
289
+ },
290
+ {
291
+ "epoch": 1.15,
292
+ "learning_rate": 6.738317757009346e-05,
293
+ "loss": 0.7988,
294
+ "step": 450
295
+ },
296
+ {
297
+ "epoch": 1.18,
298
+ "learning_rate": 6.644859813084112e-05,
299
+ "loss": 0.7316,
300
+ "step": 460
301
+ },
302
+ {
303
+ "epoch": 1.2,
304
+ "learning_rate": 6.551401869158879e-05,
305
+ "loss": 0.7518,
306
+ "step": 470
307
+ },
308
+ {
309
+ "epoch": 1.23,
310
+ "learning_rate": 6.457943925233646e-05,
311
+ "loss": 0.7579,
312
+ "step": 480
313
+ },
314
+ {
315
+ "epoch": 1.26,
316
+ "learning_rate": 6.364485981308411e-05,
317
+ "loss": 0.7115,
318
+ "step": 490
319
+ },
320
+ {
321
+ "epoch": 1.28,
322
+ "learning_rate": 6.271028037383178e-05,
323
+ "loss": 0.7861,
324
+ "step": 500
325
+ },
326
+ {
327
+ "epoch": 1.31,
328
+ "learning_rate": 6.177570093457945e-05,
329
+ "loss": 0.7292,
330
+ "step": 510
331
+ },
332
+ {
333
+ "epoch": 1.33,
334
+ "learning_rate": 6.08411214953271e-05,
335
+ "loss": 0.7471,
336
+ "step": 520
337
+ },
338
+ {
339
+ "epoch": 1.36,
340
+ "learning_rate": 5.990654205607477e-05,
341
+ "loss": 0.7458,
342
+ "step": 530
343
+ },
344
+ {
345
+ "epoch": 1.38,
346
+ "learning_rate": 5.897196261682243e-05,
347
+ "loss": 0.7164,
348
+ "step": 540
349
+ },
350
+ {
351
+ "epoch": 1.41,
352
+ "learning_rate": 5.803738317757009e-05,
353
+ "loss": 0.7867,
354
+ "step": 550
355
+ },
356
+ {
357
+ "epoch": 1.43,
358
+ "learning_rate": 5.710280373831776e-05,
359
+ "loss": 0.7165,
360
+ "step": 560
361
+ },
362
+ {
363
+ "epoch": 1.46,
364
+ "learning_rate": 5.616822429906542e-05,
365
+ "loss": 0.7424,
366
+ "step": 570
367
+ },
368
+ {
369
+ "epoch": 1.49,
370
+ "learning_rate": 5.523364485981308e-05,
371
+ "loss": 0.7438,
372
+ "step": 580
373
+ },
374
+ {
375
+ "epoch": 1.51,
376
+ "learning_rate": 5.429906542056075e-05,
377
+ "loss": 0.702,
378
+ "step": 590
379
+ },
380
+ {
381
+ "epoch": 1.54,
382
+ "learning_rate": 5.336448598130841e-05,
383
+ "loss": 0.7791,
384
+ "step": 600
385
+ },
386
+ {
387
+ "epoch": 1.54,
388
+ "eval_loss": 0.8157330751419067,
389
+ "eval_runtime": 68.2707,
390
+ "eval_samples_per_second": 29.295,
391
+ "eval_steps_per_second": 0.469,
392
+ "step": 600
393
+ },
394
+ {
395
+ "epoch": 1.56,
396
+ "learning_rate": 5.242990654205607e-05,
397
+ "loss": 0.7248,
398
+ "step": 610
399
+ },
400
+ {
401
+ "epoch": 1.59,
402
+ "learning_rate": 5.1495327102803733e-05,
403
+ "loss": 0.7558,
404
+ "step": 620
405
+ },
406
+ {
407
+ "epoch": 1.61,
408
+ "learning_rate": 5.05607476635514e-05,
409
+ "loss": 0.7438,
410
+ "step": 630
411
+ },
412
+ {
413
+ "epoch": 1.64,
414
+ "learning_rate": 4.962616822429907e-05,
415
+ "loss": 0.7094,
416
+ "step": 640
417
+ },
418
+ {
419
+ "epoch": 1.67,
420
+ "learning_rate": 4.869158878504673e-05,
421
+ "loss": 0.7733,
422
+ "step": 650
423
+ },
424
+ {
425
+ "epoch": 1.69,
426
+ "learning_rate": 4.77570093457944e-05,
427
+ "loss": 0.7162,
428
+ "step": 660
429
+ },
430
+ {
431
+ "epoch": 1.72,
432
+ "learning_rate": 4.682242990654206e-05,
433
+ "loss": 0.7397,
434
+ "step": 670
435
+ },
436
+ {
437
+ "epoch": 1.74,
438
+ "learning_rate": 4.588785046728972e-05,
439
+ "loss": 0.7579,
440
+ "step": 680
441
+ },
442
+ {
443
+ "epoch": 1.77,
444
+ "learning_rate": 4.495327102803738e-05,
445
+ "loss": 0.7055,
446
+ "step": 690
447
+ },
448
+ {
449
+ "epoch": 1.79,
450
+ "learning_rate": 4.401869158878505e-05,
451
+ "loss": 0.7685,
452
+ "step": 700
453
+ },
454
+ {
455
+ "epoch": 1.82,
456
+ "learning_rate": 4.308411214953271e-05,
457
+ "loss": 0.7266,
458
+ "step": 710
459
+ },
460
+ {
461
+ "epoch": 1.84,
462
+ "learning_rate": 4.2149532710280373e-05,
463
+ "loss": 0.7469,
464
+ "step": 720
465
+ },
466
+ {
467
+ "epoch": 1.87,
468
+ "learning_rate": 4.121495327102804e-05,
469
+ "loss": 0.7559,
470
+ "step": 730
471
+ },
472
+ {
473
+ "epoch": 1.9,
474
+ "learning_rate": 4.02803738317757e-05,
475
+ "loss": 0.6953,
476
+ "step": 740
477
+ },
478
+ {
479
+ "epoch": 1.92,
480
+ "learning_rate": 3.9345794392523364e-05,
481
+ "loss": 0.7702,
482
+ "step": 750
483
+ },
484
+ {
485
+ "epoch": 1.95,
486
+ "learning_rate": 3.841121495327103e-05,
487
+ "loss": 0.7111,
488
+ "step": 760
489
+ },
490
+ {
491
+ "epoch": 1.97,
492
+ "learning_rate": 3.7476635514018693e-05,
493
+ "loss": 0.7348,
494
+ "step": 770
495
+ },
496
+ {
497
+ "epoch": 2.0,
498
+ "learning_rate": 3.6542056074766355e-05,
499
+ "loss": 0.7146,
500
+ "step": 780
501
+ },
502
+ {
503
+ "epoch": 2.02,
504
+ "learning_rate": 3.560747663551402e-05,
505
+ "loss": 0.7753,
506
+ "step": 790
507
+ },
508
+ {
509
+ "epoch": 2.05,
510
+ "learning_rate": 3.4672897196261684e-05,
511
+ "loss": 0.717,
512
+ "step": 800
513
+ },
514
+ {
515
+ "epoch": 2.05,
516
+ "eval_loss": 0.8136950731277466,
517
+ "eval_runtime": 68.3249,
518
+ "eval_samples_per_second": 29.272,
519
+ "eval_steps_per_second": 0.468,
520
+ "step": 800
521
+ },
522
+ {
523
+ "epoch": 2.08,
524
+ "learning_rate": 3.3738317757009345e-05,
525
+ "loss": 0.7384,
526
+ "step": 810
527
+ },
528
+ {
529
+ "epoch": 2.1,
530
+ "learning_rate": 3.2803738317757014e-05,
531
+ "loss": 0.7444,
532
+ "step": 820
533
+ },
534
+ {
535
+ "epoch": 2.13,
536
+ "learning_rate": 3.1869158878504675e-05,
537
+ "loss": 0.713,
538
+ "step": 830
539
+ },
540
+ {
541
+ "epoch": 2.15,
542
+ "learning_rate": 3.0934579439252336e-05,
543
+ "loss": 0.7782,
544
+ "step": 840
545
+ },
546
+ {
547
+ "epoch": 2.18,
548
+ "learning_rate": 3e-05,
549
+ "loss": 0.7091,
550
+ "step": 850
551
+ },
552
+ {
553
+ "epoch": 2.2,
554
+ "learning_rate": 2.9065420560747662e-05,
555
+ "loss": 0.7428,
556
+ "step": 860
557
+ },
558
+ {
559
+ "epoch": 2.23,
560
+ "learning_rate": 2.8130841121495327e-05,
561
+ "loss": 0.7546,
562
+ "step": 870
563
+ },
564
+ {
565
+ "epoch": 2.25,
566
+ "learning_rate": 2.719626168224299e-05,
567
+ "loss": 0.7122,
568
+ "step": 880
569
+ },
570
+ {
571
+ "epoch": 2.28,
572
+ "learning_rate": 2.6261682242990653e-05,
573
+ "loss": 0.764,
574
+ "step": 890
575
+ },
576
+ {
577
+ "epoch": 2.31,
578
+ "learning_rate": 2.5327102803738317e-05,
579
+ "loss": 0.7097,
580
+ "step": 900
581
+ },
582
+ {
583
+ "epoch": 2.33,
584
+ "learning_rate": 2.4392523364485982e-05,
585
+ "loss": 0.7546,
586
+ "step": 910
587
+ },
588
+ {
589
+ "epoch": 2.36,
590
+ "learning_rate": 2.3457943925233647e-05,
591
+ "loss": 0.7304,
592
+ "step": 920
593
+ },
594
+ {
595
+ "epoch": 2.38,
596
+ "learning_rate": 2.252336448598131e-05,
597
+ "loss": 0.7117,
598
+ "step": 930
599
+ },
600
+ {
601
+ "epoch": 2.41,
602
+ "learning_rate": 2.1588785046728973e-05,
603
+ "loss": 0.7642,
604
+ "step": 940
605
+ },
606
+ {
607
+ "epoch": 2.43,
608
+ "learning_rate": 2.0654205607476637e-05,
609
+ "loss": 0.7092,
610
+ "step": 950
611
+ },
612
+ {
613
+ "epoch": 2.46,
614
+ "learning_rate": 1.9719626168224302e-05,
615
+ "loss": 0.7555,
616
+ "step": 960
617
+ },
618
+ {
619
+ "epoch": 2.49,
620
+ "learning_rate": 1.8785046728971963e-05,
621
+ "loss": 0.7411,
622
+ "step": 970
623
+ },
624
+ {
625
+ "epoch": 2.51,
626
+ "learning_rate": 1.7850467289719628e-05,
627
+ "loss": 0.7126,
628
+ "step": 980
629
+ },
630
+ {
631
+ "epoch": 2.54,
632
+ "learning_rate": 1.691588785046729e-05,
633
+ "loss": 0.7549,
634
+ "step": 990
635
+ },
636
+ {
637
+ "epoch": 2.56,
638
+ "learning_rate": 1.5981308411214954e-05,
639
+ "loss": 0.7036,
640
+ "step": 1000
641
+ },
642
+ {
643
+ "epoch": 2.56,
644
+ "eval_loss": 0.8102368116378784,
645
+ "eval_runtime": 68.2256,
646
+ "eval_samples_per_second": 29.315,
647
+ "eval_steps_per_second": 0.469,
648
+ "step": 1000
649
+ }
650
+ ],
651
+ "max_steps": 1170,
652
+ "num_train_epochs": 3,
653
+ "total_flos": 6.919323374783037e+18,
654
+ "trial_name": null,
655
+ "trial_params": null
656
+ }