File size: 15,839 Bytes
6e6d07a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
{
  "best_metric": 0.9704877076819325,
  "best_model_checkpoint": "models/pos_final_mono_en/checkpoint-900",
  "epoch": 39.98765432098765,
  "global_step": 2400,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.99,
      "eval_accuracy": 0.2832997859356529,
      "eval_f1": 0.15215239835327324,
      "eval_loss": 2.7932815551757812,
      "eval_precision": 0.3215832858875659,
      "eval_recall": 0.09965021554699845,
      "eval_runtime": 8.3095,
      "eval_samples_per_second": 831.582,
      "eval_steps_per_second": 3.249,
      "step": 60
    },
    {
      "epoch": 1.99,
      "eval_accuracy": 0.92244480654334,
      "eval_f1": 0.9032193422583952,
      "eval_loss": 0.3818030059337616,
      "eval_precision": 0.9075490985688619,
      "eval_recall": 0.8989307027906049,
      "eval_runtime": 8.786,
      "eval_samples_per_second": 786.48,
      "eval_steps_per_second": 3.073,
      "step": 120
    },
    {
      "epoch": 2.99,
      "eval_accuracy": 0.9720821751493658,
      "eval_f1": 0.9604647150169666,
      "eval_loss": 0.11557099223136902,
      "eval_precision": 0.9601959536641649,
      "eval_recall": 0.9607336268659006,
      "eval_runtime": 8.8137,
      "eval_samples_per_second": 784.005,
      "eval_steps_per_second": 3.063,
      "step": 180
    },
    {
      "epoch": 3.99,
      "eval_accuracy": 0.974849036710438,
      "eval_f1": 0.9641873067091794,
      "eval_loss": 0.09111332893371582,
      "eval_precision": 0.9634156614972238,
      "eval_recall": 0.964960189006336,
      "eval_runtime": 8.5212,
      "eval_samples_per_second": 810.917,
      "eval_steps_per_second": 3.169,
      "step": 240
    },
    {
      "epoch": 4.99,
      "eval_accuracy": 0.9772261094603661,
      "eval_f1": 0.9671334513708446,
      "eval_loss": 0.07944779098033905,
      "eval_precision": 0.9663853317811408,
      "eval_recall": 0.9678827301597042,
      "eval_runtime": 8.3156,
      "eval_samples_per_second": 830.964,
      "eval_steps_per_second": 3.247,
      "step": 300
    },
    {
      "epoch": 5.99,
      "eval_accuracy": 0.9781015367903128,
      "eval_f1": 0.9683213898602403,
      "eval_loss": 0.07408788055181503,
      "eval_precision": 0.9669917766303309,
      "eval_recall": 0.9696546645597779,
      "eval_runtime": 8.4486,
      "eval_samples_per_second": 817.888,
      "eval_steps_per_second": 3.196,
      "step": 360
    },
    {
      "epoch": 6.99,
      "eval_accuracy": 0.9787405348413687,
      "eval_f1": 0.9692896581055761,
      "eval_loss": 0.06950810551643372,
      "eval_precision": 0.9683435282228738,
      "eval_recall": 0.9702376386481137,
      "eval_runtime": 8.5813,
      "eval_samples_per_second": 805.242,
      "eval_steps_per_second": 3.146,
      "step": 420
    },
    {
      "epoch": 7.99,
      "eval_accuracy": 0.9788555544905588,
      "eval_f1": 0.9692969848880303,
      "eval_loss": 0.06879482418298721,
      "eval_precision": 0.9686027896716276,
      "eval_recall": 0.9699921758740776,
      "eval_runtime": 8.4632,
      "eval_samples_per_second": 816.474,
      "eval_steps_per_second": 3.19,
      "step": 480
    },
    {
      "epoch": 8.33,
      "learning_rate": 5e-05,
      "loss": 0.7281,
      "step": 500
    },
    {
      "epoch": 8.99,
      "eval_accuracy": 0.9788938943736222,
      "eval_f1": 0.9695171959192747,
      "eval_loss": 0.06750848144292831,
      "eval_precision": 0.9687672323999755,
      "eval_recall": 0.9702683214948683,
      "eval_runtime": 8.3585,
      "eval_samples_per_second": 826.702,
      "eval_steps_per_second": 3.23,
      "step": 540
    },
    {
      "epoch": 9.99,
      "eval_accuracy": 0.9791367136330235,
      "eval_f1": 0.9696259085980099,
      "eval_loss": 0.06700527667999268,
      "eval_precision": 0.9687090871505899,
      "eval_recall": 0.970544467115659,
      "eval_runtime": 8.4143,
      "eval_samples_per_second": 821.219,
      "eval_steps_per_second": 3.209,
      "step": 600
    },
    {
      "epoch": 10.99,
      "eval_accuracy": 0.9792261733601713,
      "eval_f1": 0.9698826362182866,
      "eval_loss": 0.06581725925207138,
      "eval_precision": 0.9695815158646807,
      "eval_recall": 0.9701839436662933,
      "eval_runtime": 8.2031,
      "eval_samples_per_second": 842.369,
      "eval_steps_per_second": 3.291,
      "step": 660
    },
    {
      "epoch": 11.99,
      "eval_accuracy": 0.9792900731652768,
      "eval_f1": 0.9699631623689432,
      "eval_loss": 0.06702851504087448,
      "eval_precision": 0.968427894173421,
      "eval_recall": 0.9715033060767378,
      "eval_runtime": 8.414,
      "eval_samples_per_second": 821.254,
      "eval_steps_per_second": 3.209,
      "step": 720
    },
    {
      "epoch": 12.99,
      "eval_accuracy": 0.9792261733601713,
      "eval_f1": 0.9699927596470999,
      "eval_loss": 0.0671982690691948,
      "eval_precision": 0.9688607265575376,
      "eval_recall": 0.9711274412039949,
      "eval_runtime": 9.0147,
      "eval_samples_per_second": 766.523,
      "eval_steps_per_second": 2.995,
      "step": 780
    },
    {
      "epoch": 13.99,
      "eval_accuracy": 0.9795584523467203,
      "eval_f1": 0.9702842773467448,
      "eval_loss": 0.06784472614526749,
      "eval_precision": 0.969763842275451,
      "eval_recall": 0.9708052713130725,
      "eval_runtime": 8.2137,
      "eval_samples_per_second": 841.282,
      "eval_steps_per_second": 3.287,
      "step": 840
    },
    {
      "epoch": 14.99,
      "eval_accuracy": 0.9796479120738681,
      "eval_f1": 0.9704877076819325,
      "eval_loss": 0.06808918714523315,
      "eval_precision": 0.969581195926805,
      "eval_recall": 0.971395916113097,
      "eval_runtime": 8.1766,
      "eval_samples_per_second": 845.097,
      "eval_steps_per_second": 3.302,
      "step": 900
    },
    {
      "epoch": 15.99,
      "eval_accuracy": 0.9794817725805937,
      "eval_f1": 0.9703219971333746,
      "eval_loss": 0.07063417881727219,
      "eval_precision": 0.9695714110654985,
      "eval_recall": 0.9710737462221745,
      "eval_runtime": 8.3057,
      "eval_samples_per_second": 831.963,
      "eval_steps_per_second": 3.251,
      "step": 960
    },
    {
      "epoch": 16.66,
      "learning_rate": 3.6842105263157895e-05,
      "loss": 0.0484,
      "step": 1000
    },
    {
      "epoch": 16.99,
      "eval_accuracy": 0.9793284130483402,
      "eval_f1": 0.9699285875827489,
      "eval_loss": 0.07248909771442413,
      "eval_precision": 0.9693823603778934,
      "eval_recall": 0.9704754307104613,
      "eval_runtime": 8.1639,
      "eval_samples_per_second": 846.409,
      "eval_steps_per_second": 3.307,
      "step": 1020
    },
    {
      "epoch": 17.99,
      "eval_accuracy": 0.9790855937889389,
      "eval_f1": 0.9696844283497156,
      "eval_loss": 0.0734858438372612,
      "eval_precision": 0.9688564886782195,
      "eval_recall": 0.9705137842689044,
      "eval_runtime": 8.302,
      "eval_samples_per_second": 832.333,
      "eval_steps_per_second": 3.252,
      "step": 1080
    },
    {
      "epoch": 18.99,
      "eval_accuracy": 0.9791878334771079,
      "eval_f1": 0.9697733866300795,
      "eval_loss": 0.0745043233036995,
      "eval_precision": 0.969041765278065,
      "eval_recall": 0.9705061135572158,
      "eval_runtime": 8.2203,
      "eval_samples_per_second": 840.607,
      "eval_steps_per_second": 3.285,
      "step": 1140
    },
    {
      "epoch": 19.99,
      "eval_accuracy": 0.9791111537109812,
      "eval_f1": 0.9697643226671777,
      "eval_loss": 0.07685930281877518,
      "eval_precision": 0.9689548489860933,
      "eval_recall": 0.9705751499624136,
      "eval_runtime": 8.1933,
      "eval_samples_per_second": 843.373,
      "eval_steps_per_second": 3.295,
      "step": 1200
    },
    {
      "epoch": 20.99,
      "eval_accuracy": 0.9790600338668967,
      "eval_f1": 0.9696818704484477,
      "eval_loss": 0.0796540305018425,
      "eval_precision": 0.969057869980235,
      "eval_recall": 0.9703066750533115,
      "eval_runtime": 8.1909,
      "eval_samples_per_second": 843.621,
      "eval_steps_per_second": 3.296,
      "step": 1260
    },
    {
      "epoch": 21.99,
      "eval_accuracy": 0.9790983737499601,
      "eval_f1": 0.9697178726633098,
      "eval_loss": 0.08079346269369125,
      "eval_precision": 0.9689232654311534,
      "eval_recall": 0.9705137842689044,
      "eval_runtime": 8.2659,
      "eval_samples_per_second": 835.967,
      "eval_steps_per_second": 3.266,
      "step": 1320
    },
    {
      "epoch": 22.99,
      "eval_accuracy": 0.9791047637304706,
      "eval_f1": 0.9696795461514873,
      "eval_loss": 0.08375120162963867,
      "eval_precision": 0.9691297485327245,
      "eval_recall": 0.9702299679364251,
      "eval_runtime": 8.1982,
      "eval_samples_per_second": 842.873,
      "eval_steps_per_second": 3.293,
      "step": 1380
    },
    {
      "epoch": 23.99,
      "eval_accuracy": 0.9789322342566855,
      "eval_f1": 0.9694696267232725,
      "eval_loss": 0.08609236031770706,
      "eval_precision": 0.9685270249578931,
      "eval_recall": 0.9704140650169523,
      "eval_runtime": 8.2431,
      "eval_samples_per_second": 838.274,
      "eval_steps_per_second": 3.275,
      "step": 1440
    },
    {
      "epoch": 24.99,
      "learning_rate": 2.368421052631579e-05,
      "loss": 0.0289,
      "step": 1500
    },
    {
      "epoch": 24.99,
      "eval_accuracy": 0.978663855075242,
      "eval_f1": 0.9691399662731872,
      "eval_loss": 0.08786529302597046,
      "eval_precision": 0.9684421771833878,
      "eval_recall": 0.969838761640305,
      "eval_runtime": 8.3812,
      "eval_samples_per_second": 824.467,
      "eval_steps_per_second": 3.222,
      "step": 1500
    },
    {
      "epoch": 25.99,
      "eval_accuracy": 0.9788747244320904,
      "eval_f1": 0.9693623412750109,
      "eval_loss": 0.08869566768407822,
      "eval_precision": 0.968419843821773,
      "eval_recall": 0.9703066750533115,
      "eval_runtime": 8.2152,
      "eval_samples_per_second": 841.126,
      "eval_steps_per_second": 3.287,
      "step": 1560
    },
    {
      "epoch": 26.99,
      "eval_accuracy": 0.9787341448608582,
      "eval_f1": 0.9691018771893516,
      "eval_loss": 0.09096662700176239,
      "eval_precision": 0.9683967033303716,
      "eval_recall": 0.9698080787935505,
      "eval_runtime": 8.2409,
      "eval_samples_per_second": 838.5,
      "eval_steps_per_second": 3.276,
      "step": 1620
    },
    {
      "epoch": 27.99,
      "eval_accuracy": 0.9786702450557526,
      "eval_f1": 0.9690532771176695,
      "eval_loss": 0.09239726513624191,
      "eval_precision": 0.9684296811558675,
      "eval_recall": 0.9696776766948437,
      "eval_runtime": 8.2167,
      "eval_samples_per_second": 840.968,
      "eval_steps_per_second": 3.286,
      "step": 1680
    },
    {
      "epoch": 28.99,
      "eval_accuracy": 0.9788299945685166,
      "eval_f1": 0.9692778570442306,
      "eval_loss": 0.09497389197349548,
      "eval_precision": 0.9693075990733212,
      "eval_recall": 0.9692481168402804,
      "eval_runtime": 8.3979,
      "eval_samples_per_second": 822.821,
      "eval_steps_per_second": 3.215,
      "step": 1740
    },
    {
      "epoch": 29.99,
      "eval_accuracy": 0.9788811144126011,
      "eval_f1": 0.9694443698883832,
      "eval_loss": 0.09615545719861984,
      "eval_precision": 0.9691805239310932,
      "eval_recall": 0.9697083595415983,
      "eval_runtime": 8.3107,
      "eval_samples_per_second": 831.454,
      "eval_steps_per_second": 3.249,
      "step": 1800
    },
    {
      "epoch": 30.99,
      "eval_accuracy": 0.9787213648998371,
      "eval_f1": 0.9692713982912798,
      "eval_loss": 0.09773550182580948,
      "eval_precision": 0.9686587860355012,
      "eval_recall": 0.9698847859104368,
      "eval_runtime": 8.3495,
      "eval_samples_per_second": 827.598,
      "eval_steps_per_second": 3.234,
      "step": 1860
    },
    {
      "epoch": 31.99,
      "eval_accuracy": 0.9788491645100482,
      "eval_f1": 0.9693524335969396,
      "eval_loss": 0.09792140126228333,
      "eval_precision": 0.9688436281158288,
      "eval_recall": 0.9698617737753709,
      "eval_runtime": 8.217,
      "eval_samples_per_second": 840.944,
      "eval_steps_per_second": 3.286,
      "step": 1920
    },
    {
      "epoch": 32.99,
      "eval_accuracy": 0.9787916546854533,
      "eval_f1": 0.9692388483638134,
      "eval_loss": 0.09997569024562836,
      "eval_precision": 0.9686855916944412,
      "eval_recall": 0.9697927373701732,
      "eval_runtime": 9.2731,
      "eval_samples_per_second": 745.164,
      "eval_steps_per_second": 2.912,
      "step": 1980
    },
    {
      "epoch": 33.33,
      "learning_rate": 1.0526315789473684e-05,
      "loss": 0.018,
      "step": 2000
    },
    {
      "epoch": 33.99,
      "eval_accuracy": 0.9788427745295377,
      "eval_f1": 0.9692880908937579,
      "eval_loss": 0.10211524367332458,
      "eval_precision": 0.9687533522335453,
      "eval_recall": 0.9698234202169277,
      "eval_runtime": 8.1926,
      "eval_samples_per_second": 843.447,
      "eval_steps_per_second": 3.296,
      "step": 2040
    },
    {
      "epoch": 34.99,
      "eval_accuracy": 0.9788427745295377,
      "eval_f1": 0.9694191594963878,
      "eval_loss": 0.10369361937046051,
      "eval_precision": 0.968739706929965,
      "eval_recall": 0.9700995658377184,
      "eval_runtime": 8.1647,
      "eval_samples_per_second": 846.325,
      "eval_steps_per_second": 3.307,
      "step": 2100
    },
    {
      "epoch": 35.99,
      "eval_accuracy": 0.9789514041982172,
      "eval_f1": 0.9695659672319632,
      "eval_loss": 0.10349933803081512,
      "eval_precision": 0.9688493324856962,
      "eval_recall": 0.9702836629182455,
      "eval_runtime": 8.3265,
      "eval_samples_per_second": 829.884,
      "eval_steps_per_second": 3.243,
      "step": 2160
    },
    {
      "epoch": 36.99,
      "eval_accuracy": 0.9788875043931116,
      "eval_f1": 0.9694168151938519,
      "eval_loss": 0.10418598353862762,
      "eval_precision": 0.9688115284726,
      "eval_recall": 0.9700228587208322,
      "eval_runtime": 8.3843,
      "eval_samples_per_second": 824.159,
      "eval_steps_per_second": 3.22,
      "step": 2220
    },
    {
      "epoch": 37.99,
      "eval_accuracy": 0.9787405348413687,
      "eval_f1": 0.9692040580887735,
      "eval_loss": 0.10528801381587982,
      "eval_precision": 0.9685395840514766,
      "eval_recall": 0.9698694444870595,
      "eval_runtime": 9.1629,
      "eval_samples_per_second": 754.13,
      "eval_steps_per_second": 2.947,
      "step": 2280
    },
    {
      "epoch": 38.99,
      "eval_accuracy": 0.97886833445158,
      "eval_f1": 0.969450960550726,
      "eval_loss": 0.10520931333303452,
      "eval_precision": 0.9688567794922085,
      "eval_recall": 0.970045870855898,
      "eval_runtime": 8.2422,
      "eval_samples_per_second": 838.371,
      "eval_steps_per_second": 3.276,
      "step": 2340
    },
    {
      "epoch": 39.99,
      "eval_accuracy": 0.9788491645100482,
      "eval_f1": 0.9694007796419167,
      "eval_loss": 0.1054077297449112,
      "eval_precision": 0.9688177562575179,
      "eval_recall": 0.969984505162389,
      "eval_runtime": 8.347,
      "eval_samples_per_second": 827.841,
      "eval_steps_per_second": 3.235,
      "step": 2400
    },
    {
      "epoch": 39.99,
      "step": 2400,
      "total_flos": 1.1777248744118362e+17,
      "train_loss": 0.17379826227823894,
      "train_runtime": 1699.1945,
      "train_samples_per_second": 1463.964,
      "train_steps_per_second": 1.412
    }
  ],
  "max_steps": 2400,
  "num_train_epochs": 40,
  "total_flos": 1.1777248744118362e+17,
  "trial_name": null,
  "trial_params": null
}