File size: 17,611 Bytes
3ec1803
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
{
  "best_metric": 0.7951020408163265,
  "best_model_checkpoint": "/scratch/mrahma45/pixel/finetuned_models/canine/canine-base-finetuned-masakhaner-pcm/checkpoint-7000",
  "epoch": 119.40298507462687,
  "global_step": 8000,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 2.99,
      "eval_accuracy_score": 0.8950079239302694,
      "eval_f1": 0.4056413700470114,
      "eval_loss": 0.31147781014442444,
      "eval_precision": 0.3420158550396376,
      "eval_recall": 0.49834983498349833,
      "eval_runtime": 2.4074,
      "eval_samples_per_second": 127.107,
      "eval_steps_per_second": 16.2,
      "step": 200
    },
    {
      "epoch": 5.97,
      "eval_accuracy_score": 0.9330427892234548,
      "eval_f1": 0.541019955654102,
      "eval_loss": 0.22155305743217468,
      "eval_precision": 0.4899598393574297,
      "eval_recall": 0.6039603960396039,
      "eval_runtime": 2.4071,
      "eval_samples_per_second": 127.125,
      "eval_steps_per_second": 16.202,
      "step": 400
    },
    {
      "epoch": 7.46,
      "learning_rate": 4.865771812080537e-05,
      "loss": 0.3727,
      "step": 500
    },
    {
      "epoch": 8.96,
      "eval_accuracy_score": 0.9498151082937136,
      "eval_f1": 0.6552238805970149,
      "eval_loss": 0.18555797636508942,
      "eval_precision": 0.5980926430517711,
      "eval_recall": 0.7244224422442245,
      "eval_runtime": 2.4132,
      "eval_samples_per_second": 126.802,
      "eval_steps_per_second": 16.161,
      "step": 600
    },
    {
      "epoch": 11.94,
      "eval_accuracy_score": 0.95932382461701,
      "eval_f1": 0.7168627450980393,
      "eval_loss": 0.1749705672264099,
      "eval_precision": 0.6831091180866966,
      "eval_recall": 0.7541254125412541,
      "eval_runtime": 2.408,
      "eval_samples_per_second": 127.076,
      "eval_steps_per_second": 16.196,
      "step": 800
    },
    {
      "epoch": 14.93,
      "learning_rate": 4.697986577181208e-05,
      "loss": 0.0555,
      "step": 1000
    },
    {
      "epoch": 14.93,
      "eval_accuracy_score": 0.9578711040676176,
      "eval_f1": 0.7334360554699538,
      "eval_loss": 0.1944570541381836,
      "eval_precision": 0.6878612716763006,
      "eval_recall": 0.7854785478547854,
      "eval_runtime": 2.4095,
      "eval_samples_per_second": 127.0,
      "eval_steps_per_second": 16.186,
      "step": 1000
    },
    {
      "epoch": 17.91,
      "eval_accuracy_score": 0.9647385103011094,
      "eval_f1": 0.7670364500792393,
      "eval_loss": 0.18250040709972382,
      "eval_precision": 0.7378048780487805,
      "eval_recall": 0.7986798679867987,
      "eval_runtime": 2.4111,
      "eval_samples_per_second": 126.911,
      "eval_steps_per_second": 16.175,
      "step": 1200
    },
    {
      "epoch": 20.9,
      "eval_accuracy_score": 0.9630216587427364,
      "eval_f1": 0.7384615384615385,
      "eval_loss": 0.19533774256706238,
      "eval_precision": 0.724960254372019,
      "eval_recall": 0.7524752475247525,
      "eval_runtime": 2.4014,
      "eval_samples_per_second": 127.425,
      "eval_steps_per_second": 16.24,
      "step": 1400
    },
    {
      "epoch": 22.39,
      "learning_rate": 4.530201342281879e-05,
      "loss": 0.0105,
      "step": 1500
    },
    {
      "epoch": 23.88,
      "eval_accuracy_score": 0.9644743792921289,
      "eval_f1": 0.7389937106918238,
      "eval_loss": 0.19444848597049713,
      "eval_precision": 0.7057057057057057,
      "eval_recall": 0.7755775577557755,
      "eval_runtime": 2.4134,
      "eval_samples_per_second": 126.79,
      "eval_steps_per_second": 16.16,
      "step": 1600
    },
    {
      "epoch": 26.87,
      "eval_accuracy_score": 0.963946117274168,
      "eval_f1": 0.7565424266455195,
      "eval_loss": 0.211569145321846,
      "eval_precision": 0.7282442748091603,
      "eval_recall": 0.7871287128712872,
      "eval_runtime": 2.4076,
      "eval_samples_per_second": 127.097,
      "eval_steps_per_second": 16.199,
      "step": 1800
    },
    {
      "epoch": 29.85,
      "learning_rate": 4.36241610738255e-05,
      "loss": 0.0055,
      "step": 2000
    },
    {
      "epoch": 29.85,
      "eval_accuracy_score": 0.9611727416798732,
      "eval_f1": 0.7248979591836734,
      "eval_loss": 0.23255787789821625,
      "eval_precision": 0.7172859450726979,
      "eval_recall": 0.7326732673267327,
      "eval_runtime": 2.4063,
      "eval_samples_per_second": 127.167,
      "eval_steps_per_second": 16.208,
      "step": 2000
    },
    {
      "epoch": 32.84,
      "eval_accuracy_score": 0.9650026413100898,
      "eval_f1": 0.7594339622641509,
      "eval_loss": 0.21984447538852692,
      "eval_precision": 0.7252252252252253,
      "eval_recall": 0.7970297029702971,
      "eval_runtime": 2.4107,
      "eval_samples_per_second": 126.936,
      "eval_steps_per_second": 16.178,
      "step": 2200
    },
    {
      "epoch": 35.82,
      "eval_accuracy_score": 0.963946117274168,
      "eval_f1": 0.7598736176935229,
      "eval_loss": 0.2293044477701187,
      "eval_precision": 0.7287878787878788,
      "eval_recall": 0.7937293729372937,
      "eval_runtime": 2.4114,
      "eval_samples_per_second": 126.899,
      "eval_steps_per_second": 16.173,
      "step": 2400
    },
    {
      "epoch": 37.31,
      "learning_rate": 4.194630872483222e-05,
      "loss": 0.0038,
      "step": 2500
    },
    {
      "epoch": 38.81,
      "eval_accuracy_score": 0.9643423137876387,
      "eval_f1": 0.7497975708502024,
      "eval_loss": 0.23353905975818634,
      "eval_precision": 0.7360890302066773,
      "eval_recall": 0.764026402640264,
      "eval_runtime": 2.4071,
      "eval_samples_per_second": 127.125,
      "eval_steps_per_second": 16.202,
      "step": 2600
    },
    {
      "epoch": 41.79,
      "eval_accuracy_score": 0.9655309033280507,
      "eval_f1": 0.7648,
      "eval_loss": 0.224817156791687,
      "eval_precision": 0.7422360248447205,
      "eval_recall": 0.7887788778877888,
      "eval_runtime": 2.4046,
      "eval_samples_per_second": 127.255,
      "eval_steps_per_second": 16.219,
      "step": 2800
    },
    {
      "epoch": 44.78,
      "learning_rate": 4.026845637583892e-05,
      "loss": 0.0032,
      "step": 3000
    },
    {
      "epoch": 44.78,
      "eval_accuracy_score": 0.95932382461701,
      "eval_f1": 0.7264076130055511,
      "eval_loss": 0.26162534952163696,
      "eval_precision": 0.6992366412213741,
      "eval_recall": 0.7557755775577558,
      "eval_runtime": 2.3994,
      "eval_samples_per_second": 127.53,
      "eval_steps_per_second": 16.254,
      "step": 3000
    },
    {
      "epoch": 47.76,
      "eval_accuracy_score": 0.9638140517696777,
      "eval_f1": 0.7374392220421394,
      "eval_loss": 0.2429530769586563,
      "eval_precision": 0.7245222929936306,
      "eval_recall": 0.7508250825082509,
      "eval_runtime": 2.4056,
      "eval_samples_per_second": 127.201,
      "eval_steps_per_second": 16.212,
      "step": 3200
    },
    {
      "epoch": 50.75,
      "eval_accuracy_score": 0.9646064447966192,
      "eval_f1": 0.7631578947368421,
      "eval_loss": 0.2461545169353485,
      "eval_precision": 0.760655737704918,
      "eval_recall": 0.7656765676567657,
      "eval_runtime": 2.4169,
      "eval_samples_per_second": 126.61,
      "eval_steps_per_second": 16.137,
      "step": 3400
    },
    {
      "epoch": 52.24,
      "learning_rate": 3.859060402684564e-05,
      "loss": 0.0027,
      "step": 3500
    },
    {
      "epoch": 53.73,
      "eval_accuracy_score": 0.9615689381933439,
      "eval_f1": 0.7359870024370431,
      "eval_loss": 0.25643840432167053,
      "eval_precision": 0.7248,
      "eval_recall": 0.7475247524752475,
      "eval_runtime": 2.402,
      "eval_samples_per_second": 127.392,
      "eval_steps_per_second": 16.236,
      "step": 3600
    },
    {
      "epoch": 56.72,
      "eval_accuracy_score": 0.96513470681458,
      "eval_f1": 0.7636932707355242,
      "eval_loss": 0.24773868918418884,
      "eval_precision": 0.7261904761904762,
      "eval_recall": 0.8052805280528053,
      "eval_runtime": 2.406,
      "eval_samples_per_second": 127.183,
      "eval_steps_per_second": 16.21,
      "step": 3800
    },
    {
      "epoch": 59.7,
      "learning_rate": 3.6912751677852356e-05,
      "loss": 0.0019,
      "step": 4000
    },
    {
      "epoch": 59.7,
      "eval_accuracy_score": 0.9615689381933439,
      "eval_f1": 0.7295796986518637,
      "eval_loss": 0.27105194330215454,
      "eval_precision": 0.7022900763358778,
      "eval_recall": 0.759075907590759,
      "eval_runtime": 2.4067,
      "eval_samples_per_second": 127.143,
      "eval_steps_per_second": 16.204,
      "step": 4000
    },
    {
      "epoch": 62.69,
      "eval_accuracy_score": 0.9620972002113048,
      "eval_f1": 0.7459807073954984,
      "eval_loss": 0.2745388150215149,
      "eval_precision": 0.7272727272727273,
      "eval_recall": 0.7656765676567657,
      "eval_runtime": 2.4067,
      "eval_samples_per_second": 127.143,
      "eval_steps_per_second": 16.205,
      "step": 4200
    },
    {
      "epoch": 65.67,
      "eval_accuracy_score": 0.9632857897517169,
      "eval_f1": 0.7472353870458136,
      "eval_loss": 0.26222512125968933,
      "eval_precision": 0.7166666666666667,
      "eval_recall": 0.7805280528052805,
      "eval_runtime": 2.4079,
      "eval_samples_per_second": 127.079,
      "eval_steps_per_second": 16.196,
      "step": 4400
    },
    {
      "epoch": 67.16,
      "learning_rate": 3.523489932885906e-05,
      "loss": 0.0019,
      "step": 4500
    },
    {
      "epoch": 68.66,
      "eval_accuracy_score": 0.9644743792921289,
      "eval_f1": 0.7557677008750995,
      "eval_loss": 0.25255098938941956,
      "eval_precision": 0.7296466973886329,
      "eval_recall": 0.7838283828382838,
      "eval_runtime": 2.4095,
      "eval_samples_per_second": 126.996,
      "eval_steps_per_second": 16.186,
      "step": 4600
    },
    {
      "epoch": 71.64,
      "eval_accuracy_score": 0.9657950343370312,
      "eval_f1": 0.765079365079365,
      "eval_loss": 0.2474120408296585,
      "eval_precision": 0.7370030581039755,
      "eval_recall": 0.7953795379537953,
      "eval_runtime": 2.4085,
      "eval_samples_per_second": 127.049,
      "eval_steps_per_second": 16.192,
      "step": 4800
    },
    {
      "epoch": 74.63,
      "learning_rate": 3.3557046979865775e-05,
      "loss": 0.0018,
      "step": 5000
    },
    {
      "epoch": 74.63,
      "eval_accuracy_score": 0.9653988378235605,
      "eval_f1": 0.7618296529968455,
      "eval_loss": 0.2491973489522934,
      "eval_precision": 0.729607250755287,
      "eval_recall": 0.7970297029702971,
      "eval_runtime": 2.4082,
      "eval_samples_per_second": 127.066,
      "eval_steps_per_second": 16.195,
      "step": 5000
    },
    {
      "epoch": 77.61,
      "eval_accuracy_score": 0.963946117274168,
      "eval_f1": 0.7564604541895067,
      "eval_loss": 0.2652634084224701,
      "eval_precision": 0.7198211624441133,
      "eval_recall": 0.7970297029702971,
      "eval_runtime": 2.4091,
      "eval_samples_per_second": 127.02,
      "eval_steps_per_second": 16.189,
      "step": 5200
    },
    {
      "epoch": 80.6,
      "eval_accuracy_score": 0.963946117274168,
      "eval_f1": 0.7577235772357722,
      "eval_loss": 0.2766047418117523,
      "eval_precision": 0.7467948717948718,
      "eval_recall": 0.768976897689769,
      "eval_runtime": 2.4127,
      "eval_samples_per_second": 126.83,
      "eval_steps_per_second": 16.165,
      "step": 5400
    },
    {
      "epoch": 82.09,
      "learning_rate": 3.1879194630872485e-05,
      "loss": 0.0012,
      "step": 5500
    },
    {
      "epoch": 83.58,
      "eval_accuracy_score": 0.9627575277337559,
      "eval_f1": 0.7384855581576891,
      "eval_loss": 0.2791267931461334,
      "eval_precision": 0.7007407407407408,
      "eval_recall": 0.7805280528052805,
      "eval_runtime": 2.4092,
      "eval_samples_per_second": 127.015,
      "eval_steps_per_second": 16.188,
      "step": 5600
    },
    {
      "epoch": 86.57,
      "eval_accuracy_score": 0.9672477548864237,
      "eval_f1": 0.7776000000000001,
      "eval_loss": 0.24720582365989685,
      "eval_precision": 0.7546583850931677,
      "eval_recall": 0.801980198019802,
      "eval_runtime": 2.4153,
      "eval_samples_per_second": 126.694,
      "eval_steps_per_second": 16.147,
      "step": 5800
    },
    {
      "epoch": 89.55,
      "learning_rate": 3.02013422818792e-05,
      "loss": 0.0013,
      "step": 6000
    },
    {
      "epoch": 89.55,
      "eval_accuracy_score": 0.9664553618594823,
      "eval_f1": 0.7794707297514034,
      "eval_loss": 0.25364401936531067,
      "eval_precision": 0.7581903276131046,
      "eval_recall": 0.801980198019802,
      "eval_runtime": 2.4087,
      "eval_samples_per_second": 127.037,
      "eval_steps_per_second": 16.191,
      "step": 6000
    },
    {
      "epoch": 92.54,
      "eval_accuracy_score": 0.9676439513998943,
      "eval_f1": 0.7832393231265109,
      "eval_loss": 0.25377386808395386,
      "eval_precision": 0.7653543307086614,
      "eval_recall": 0.801980198019802,
      "eval_runtime": 2.4146,
      "eval_samples_per_second": 126.731,
      "eval_steps_per_second": 16.152,
      "step": 6200
    },
    {
      "epoch": 95.52,
      "eval_accuracy_score": 0.9689646064447967,
      "eval_f1": 0.7859424920127794,
      "eval_loss": 0.23607416450977325,
      "eval_precision": 0.7616099071207431,
      "eval_recall": 0.8118811881188119,
      "eval_runtime": 2.4167,
      "eval_samples_per_second": 126.62,
      "eval_steps_per_second": 16.138,
      "step": 6400
    },
    {
      "epoch": 97.01,
      "learning_rate": 2.8523489932885905e-05,
      "loss": 0.0014,
      "step": 6500
    },
    {
      "epoch": 98.51,
      "eval_accuracy_score": 0.9696249339672478,
      "eval_f1": 0.784155214227971,
      "eval_loss": 0.22985981404781342,
      "eval_precision": 0.768621236133122,
      "eval_recall": 0.8003300330033003,
      "eval_runtime": 2.4152,
      "eval_samples_per_second": 126.699,
      "eval_steps_per_second": 16.148,
      "step": 6600
    },
    {
      "epoch": 101.49,
      "eval_accuracy_score": 0.969228737453777,
      "eval_f1": 0.7798537774167345,
      "eval_loss": 0.2279633730649948,
      "eval_precision": 0.768,
      "eval_recall": 0.7920792079207921,
      "eval_runtime": 2.4192,
      "eval_samples_per_second": 126.488,
      "eval_steps_per_second": 16.121,
      "step": 6800
    },
    {
      "epoch": 104.48,
      "learning_rate": 2.6845637583892618e-05,
      "loss": 0.001,
      "step": 7000
    },
    {
      "epoch": 104.48,
      "eval_accuracy_score": 0.9705493924986793,
      "eval_f1": 0.7951020408163265,
      "eval_loss": 0.23545745015144348,
      "eval_precision": 0.7867528271405493,
      "eval_recall": 0.8036303630363036,
      "eval_runtime": 2.41,
      "eval_samples_per_second": 126.97,
      "eval_steps_per_second": 16.182,
      "step": 7000
    },
    {
      "epoch": 107.46,
      "eval_accuracy_score": 0.9688325409403064,
      "eval_f1": 0.7739340305711988,
      "eval_loss": 0.23859038949012756,
      "eval_precision": 0.7551020408163265,
      "eval_recall": 0.7937293729372937,
      "eval_runtime": 2.4059,
      "eval_samples_per_second": 127.189,
      "eval_steps_per_second": 16.21,
      "step": 7200
    },
    {
      "epoch": 110.45,
      "eval_accuracy_score": 0.9684363444268357,
      "eval_f1": 0.7909967845659165,
      "eval_loss": 0.2557569444179535,
      "eval_precision": 0.7711598746081505,
      "eval_recall": 0.8118811881188119,
      "eval_runtime": 2.4083,
      "eval_samples_per_second": 127.062,
      "eval_steps_per_second": 16.194,
      "step": 7400
    },
    {
      "epoch": 111.94,
      "learning_rate": 2.516778523489933e-05,
      "loss": 0.0008,
      "step": 7500
    },
    {
      "epoch": 113.43,
      "eval_accuracy_score": 0.9683042789223455,
      "eval_f1": 0.7780429594272077,
      "eval_loss": 0.2508944869041443,
      "eval_precision": 0.7511520737327189,
      "eval_recall": 0.806930693069307,
      "eval_runtime": 2.4124,
      "eval_samples_per_second": 126.846,
      "eval_steps_per_second": 16.167,
      "step": 7600
    },
    {
      "epoch": 116.42,
      "eval_accuracy_score": 0.9681722134178553,
      "eval_f1": 0.7712206952303962,
      "eval_loss": 0.2467135787010193,
      "eval_precision": 0.7559429477020603,
      "eval_recall": 0.7871287128712872,
      "eval_runtime": 2.4114,
      "eval_samples_per_second": 126.896,
      "eval_steps_per_second": 16.173,
      "step": 7800
    },
    {
      "epoch": 119.4,
      "learning_rate": 2.348993288590604e-05,
      "loss": 0.0011,
      "step": 8000
    },
    {
      "epoch": 119.4,
      "eval_accuracy_score": 0.966323296354992,
      "eval_f1": 0.7704654895666132,
      "eval_loss": 0.24946843087673187,
      "eval_precision": 0.75,
      "eval_recall": 0.7920792079207921,
      "eval_runtime": 2.4125,
      "eval_samples_per_second": 126.837,
      "eval_steps_per_second": 16.166,
      "step": 8000
    },
    {
      "epoch": 119.4,
      "step": 8000,
      "total_flos": 4.164857671044096e+16,
      "train_loss": 0.029139109283685686,
      "train_runtime": 3971.1585,
      "train_samples_per_second": 120.872,
      "train_steps_per_second": 3.777
    }
  ],
  "max_steps": 15000,
  "num_train_epochs": 224,
  "total_flos": 4.164857671044096e+16,
  "trial_name": null,
  "trial_params": null
}