Upload 12 files
Browse files- model.safetensors +1 -1
- optimizer.pt +1 -1
- rng_state.pth +1 -1
- scheduler.pt +1 -1
- trainer_state.json +465 -106
- training_args.bin +2 -2
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 901339568
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:63341a8be72e1aaf8a935da18537db767e623966c2e183e44140e4e5764e777c
|
3 |
size 901339568
|
optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 227854586
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a49a0d3f0c94d68183a3813996c0843b0adc852b73546dcbdb5fde4510308d65
|
3 |
size 227854586
|
rng_state.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 14180
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:29bc513d119655394ebc9d360d76eca366abc3bc988dcfafceea6e869b84307c
|
3 |
size 14180
|
scheduler.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1064
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1ba6863dbb07ef7d843820e79752e6f6253dc743ad8e6f958a2039d8817b85b9
|
3 |
size 1064
|
trainer_state.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
-
"best_metric":
|
3 |
-
"best_model_checkpoint":
|
4 |
-
"epoch":
|
5 |
"eval_steps": 500,
|
6 |
-
"global_step":
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
@@ -22,10 +22,10 @@
|
|
22 |
"eval_precision": 0.691358024691358,
|
23 |
"eval_recall": 0.7777777777777778,
|
24 |
"eval_roc_auc": 0.7881944444444445,
|
25 |
-
"eval_runtime": 1.
|
26 |
-
"eval_samples_per_second":
|
27 |
"eval_specificity": 0.6527777777777778,
|
28 |
-
"eval_steps_per_second": 0.
|
29 |
"eval_tn": 47,
|
30 |
"eval_tp": 56,
|
31 |
"step": 36
|
@@ -44,10 +44,10 @@
|
|
44 |
"eval_precision": 1.0,
|
45 |
"eval_recall": 0.4583333333333333,
|
46 |
"eval_roc_auc": 0.8784722222222222,
|
47 |
-
"eval_runtime": 1.
|
48 |
-
"eval_samples_per_second":
|
49 |
"eval_specificity": 1.0,
|
50 |
-
"eval_steps_per_second": 0.
|
51 |
"eval_tn": 72,
|
52 |
"eval_tp": 33,
|
53 |
"step": 72
|
@@ -66,10 +66,10 @@
|
|
66 |
"eval_precision": 0.94,
|
67 |
"eval_recall": 0.6527777777777778,
|
68 |
"eval_roc_auc": 0.8809799382716048,
|
69 |
-
"eval_runtime": 1.
|
70 |
-
"eval_samples_per_second":
|
71 |
"eval_specificity": 0.9583333333333334,
|
72 |
-
"eval_steps_per_second": 0.
|
73 |
"eval_tn": 69,
|
74 |
"eval_tp": 47,
|
75 |
"step": 108
|
@@ -88,8 +88,8 @@
|
|
88 |
"eval_precision": 0.9090909090909091,
|
89 |
"eval_recall": 0.8333333333333334,
|
90 |
"eval_roc_auc": 0.9261188271604939,
|
91 |
-
"eval_runtime": 1.
|
92 |
-
"eval_samples_per_second": 92.
|
93 |
"eval_specificity": 0.9166666666666666,
|
94 |
"eval_steps_per_second": 0.639,
|
95 |
"eval_tn": 66,
|
@@ -110,10 +110,10 @@
|
|
110 |
"eval_precision": 0.90625,
|
111 |
"eval_recall": 0.8055555555555556,
|
112 |
"eval_roc_auc": 0.91820987654321,
|
113 |
-
"eval_runtime": 1.
|
114 |
-
"eval_samples_per_second": 89.
|
115 |
"eval_specificity": 0.9166666666666666,
|
116 |
-
"eval_steps_per_second": 0.
|
117 |
"eval_tn": 66,
|
118 |
"eval_tp": 58,
|
119 |
"step": 180
|
@@ -132,10 +132,10 @@
|
|
132 |
"eval_precision": 0.9473684210526315,
|
133 |
"eval_recall": 0.75,
|
134 |
"eval_roc_auc": 0.9330632716049384,
|
135 |
-
"eval_runtime": 1.
|
136 |
-
"eval_samples_per_second":
|
137 |
"eval_specificity": 0.9583333333333334,
|
138 |
-
"eval_steps_per_second": 0.
|
139 |
"eval_tn": 69,
|
140 |
"eval_tp": 54,
|
141 |
"step": 216
|
@@ -154,10 +154,10 @@
|
|
154 |
"eval_precision": 0.8714285714285714,
|
155 |
"eval_recall": 0.8472222222222222,
|
156 |
"eval_roc_auc": 0.9386574074074074,
|
157 |
-
"eval_runtime": 1.
|
158 |
-
"eval_samples_per_second":
|
159 |
"eval_specificity": 0.875,
|
160 |
-
"eval_steps_per_second": 0.
|
161 |
"eval_tn": 63,
|
162 |
"eval_tp": 61,
|
163 |
"step": 252
|
@@ -176,10 +176,10 @@
|
|
176 |
"eval_precision": 0.9649122807017544,
|
177 |
"eval_recall": 0.7638888888888888,
|
178 |
"eval_roc_auc": 0.9415509259259259,
|
179 |
-
"eval_runtime": 1.
|
180 |
-
"eval_samples_per_second":
|
181 |
"eval_specificity": 0.9722222222222222,
|
182 |
-
"eval_steps_per_second": 0.
|
183 |
"eval_tn": 70,
|
184 |
"eval_tp": 55,
|
185 |
"step": 288
|
@@ -198,10 +198,10 @@
|
|
198 |
"eval_precision": 1.0,
|
199 |
"eval_recall": 0.7777777777777778,
|
200 |
"eval_roc_auc": 0.9461805555555556,
|
201 |
-
"eval_runtime": 1.
|
202 |
-
"eval_samples_per_second": 91.
|
203 |
"eval_specificity": 1.0,
|
204 |
-
"eval_steps_per_second": 0.
|
205 |
"eval_tn": 72,
|
206 |
"eval_tp": 56,
|
207 |
"step": 324
|
@@ -220,10 +220,10 @@
|
|
220 |
"eval_precision": 0.9666666666666667,
|
221 |
"eval_recall": 0.8055555555555556,
|
222 |
"eval_roc_auc": 0.9157021604938271,
|
223 |
-
"eval_runtime": 1.
|
224 |
-
"eval_samples_per_second":
|
225 |
"eval_specificity": 0.9722222222222222,
|
226 |
-
"eval_steps_per_second": 0.
|
227 |
"eval_tn": 70,
|
228 |
"eval_tp": 58,
|
229 |
"step": 360
|
@@ -242,10 +242,10 @@
|
|
242 |
"eval_precision": 0.9,
|
243 |
"eval_recall": 0.875,
|
244 |
"eval_roc_auc": 0.929398148148148,
|
245 |
-
"eval_runtime": 1.
|
246 |
-
"eval_samples_per_second": 91.
|
247 |
"eval_specificity": 0.9027777777777778,
|
248 |
-
"eval_steps_per_second": 0.
|
249 |
"eval_tn": 65,
|
250 |
"eval_tp": 63,
|
251 |
"step": 396
|
@@ -264,10 +264,10 @@
|
|
264 |
"eval_precision": 0.921875,
|
265 |
"eval_recall": 0.8194444444444444,
|
266 |
"eval_roc_auc": 0.9430941358024691,
|
267 |
-
"eval_runtime": 1.
|
268 |
-
"eval_samples_per_second":
|
269 |
"eval_specificity": 0.9305555555555556,
|
270 |
-
"eval_steps_per_second": 0.
|
271 |
"eval_tn": 67,
|
272 |
"eval_tp": 59,
|
273 |
"step": 432
|
@@ -286,10 +286,10 @@
|
|
286 |
"eval_precision": 0.8857142857142857,
|
287 |
"eval_recall": 0.8611111111111112,
|
288 |
"eval_roc_auc": 0.9290123456790124,
|
289 |
-
"eval_runtime": 1.
|
290 |
-
"eval_samples_per_second":
|
291 |
"eval_specificity": 0.8888888888888888,
|
292 |
-
"eval_steps_per_second": 0.
|
293 |
"eval_tn": 64,
|
294 |
"eval_tp": 62,
|
295 |
"step": 468
|
@@ -315,10 +315,10 @@
|
|
315 |
"eval_precision": 0.8985507246376812,
|
316 |
"eval_recall": 0.8611111111111112,
|
317 |
"eval_roc_auc": 0.9479166666666667,
|
318 |
-
"eval_runtime": 1.
|
319 |
-
"eval_samples_per_second":
|
320 |
"eval_specificity": 0.9027777777777778,
|
321 |
-
"eval_steps_per_second": 0.
|
322 |
"eval_tn": 65,
|
323 |
"eval_tp": 62,
|
324 |
"step": 504
|
@@ -337,10 +337,10 @@
|
|
337 |
"eval_precision": 0.9538461538461539,
|
338 |
"eval_recall": 0.8611111111111112,
|
339 |
"eval_roc_auc": 0.9479166666666666,
|
340 |
-
"eval_runtime": 1.
|
341 |
-
"eval_samples_per_second": 91.
|
342 |
"eval_specificity": 0.9583333333333334,
|
343 |
-
"eval_steps_per_second": 0.
|
344 |
"eval_tn": 69,
|
345 |
"eval_tp": 62,
|
346 |
"step": 540
|
@@ -359,10 +359,10 @@
|
|
359 |
"eval_precision": 1.0,
|
360 |
"eval_recall": 0.7777777777777778,
|
361 |
"eval_roc_auc": 0.9598765432098766,
|
362 |
-
"eval_runtime": 1.
|
363 |
-
"eval_samples_per_second": 91.
|
364 |
"eval_specificity": 1.0,
|
365 |
-
"eval_steps_per_second": 0.
|
366 |
"eval_tn": 72,
|
367 |
"eval_tp": 56,
|
368 |
"step": 576
|
@@ -381,10 +381,10 @@
|
|
381 |
"eval_precision": 0.9833333333333333,
|
382 |
"eval_recall": 0.8194444444444444,
|
383 |
"eval_roc_auc": 0.9525462962962963,
|
384 |
-
"eval_runtime": 1.
|
385 |
-
"eval_samples_per_second":
|
386 |
"eval_specificity": 0.9861111111111112,
|
387 |
-
"eval_steps_per_second": 0.
|
388 |
"eval_tn": 71,
|
389 |
"eval_tp": 59,
|
390 |
"step": 612
|
@@ -403,10 +403,10 @@
|
|
403 |
"eval_precision": 0.9142857142857143,
|
404 |
"eval_recall": 0.8888888888888888,
|
405 |
"eval_roc_auc": 0.957175925925926,
|
406 |
-
"eval_runtime": 1.
|
407 |
-
"eval_samples_per_second":
|
408 |
"eval_specificity": 0.9166666666666666,
|
409 |
-
"eval_steps_per_second": 0.
|
410 |
"eval_tn": 66,
|
411 |
"eval_tp": 64,
|
412 |
"step": 648
|
@@ -425,10 +425,10 @@
|
|
425 |
"eval_precision": 0.9836065573770492,
|
426 |
"eval_recall": 0.8333333333333334,
|
427 |
"eval_roc_auc": 0.961033950617284,
|
428 |
-
"eval_runtime": 1.
|
429 |
-
"eval_samples_per_second": 91.
|
430 |
"eval_specificity": 0.9861111111111112,
|
431 |
-
"eval_steps_per_second": 0.
|
432 |
"eval_tn": 71,
|
433 |
"eval_tp": 60,
|
434 |
"step": 684
|
@@ -447,10 +447,10 @@
|
|
447 |
"eval_precision": 0.9523809523809523,
|
448 |
"eval_recall": 0.8333333333333334,
|
449 |
"eval_roc_auc": 0.964891975308642,
|
450 |
-
"eval_runtime": 1.
|
451 |
-
"eval_samples_per_second": 91.
|
452 |
"eval_specificity": 0.9583333333333334,
|
453 |
-
"eval_steps_per_second": 0.
|
454 |
"eval_tn": 69,
|
455 |
"eval_tp": 60,
|
456 |
"step": 720
|
@@ -469,10 +469,10 @@
|
|
469 |
"eval_precision": 0.8481012658227848,
|
470 |
"eval_recall": 0.9305555555555556,
|
471 |
"eval_roc_auc": 0.9456018518518517,
|
472 |
-
"eval_runtime": 1.
|
473 |
-
"eval_samples_per_second":
|
474 |
"eval_specificity": 0.8333333333333334,
|
475 |
-
"eval_steps_per_second": 0.
|
476 |
"eval_tn": 60,
|
477 |
"eval_tp": 67,
|
478 |
"step": 756
|
@@ -491,10 +491,10 @@
|
|
491 |
"eval_precision": 0.9,
|
492 |
"eval_recall": 0.875,
|
493 |
"eval_roc_auc": 0.9533179012345679,
|
494 |
-
"eval_runtime": 1.
|
495 |
-
"eval_samples_per_second": 90.
|
496 |
"eval_specificity": 0.9027777777777778,
|
497 |
-
"eval_steps_per_second": 0.
|
498 |
"eval_tn": 65,
|
499 |
"eval_tp": 63,
|
500 |
"step": 792
|
@@ -513,10 +513,10 @@
|
|
513 |
"eval_precision": 0.9264705882352942,
|
514 |
"eval_recall": 0.875,
|
515 |
"eval_roc_auc": 0.9672067901234568,
|
516 |
-
"eval_runtime": 1.
|
517 |
-
"eval_samples_per_second": 90.
|
518 |
"eval_specificity": 0.9305555555555556,
|
519 |
-
"eval_steps_per_second": 0.
|
520 |
"eval_tn": 67,
|
521 |
"eval_tp": 63,
|
522 |
"step": 828
|
@@ -535,10 +535,10 @@
|
|
535 |
"eval_precision": 0.96875,
|
536 |
"eval_recall": 0.8611111111111112,
|
537 |
"eval_roc_auc": 0.9457947530864197,
|
538 |
-
"eval_runtime": 1.
|
539 |
-
"eval_samples_per_second":
|
540 |
"eval_specificity": 0.9722222222222222,
|
541 |
-
"eval_steps_per_second": 0.
|
542 |
"eval_tn": 70,
|
543 |
"eval_tp": 62,
|
544 |
"step": 864
|
@@ -557,10 +557,10 @@
|
|
557 |
"eval_precision": 0.9538461538461539,
|
558 |
"eval_recall": 0.8611111111111112,
|
559 |
"eval_roc_auc": 0.9637345679012346,
|
560 |
-
"eval_runtime": 1.
|
561 |
-
"eval_samples_per_second": 90.
|
562 |
"eval_specificity": 0.9583333333333334,
|
563 |
-
"eval_steps_per_second": 0.
|
564 |
"eval_tn": 69,
|
565 |
"eval_tp": 62,
|
566 |
"step": 900
|
@@ -579,10 +579,10 @@
|
|
579 |
"eval_precision": 0.9545454545454546,
|
580 |
"eval_recall": 0.875,
|
581 |
"eval_roc_auc": 0.9591049382716049,
|
582 |
-
"eval_runtime": 1.
|
583 |
-
"eval_samples_per_second":
|
584 |
"eval_specificity": 0.9583333333333334,
|
585 |
-
"eval_steps_per_second": 0.
|
586 |
"eval_tn": 69,
|
587 |
"eval_tp": 63,
|
588 |
"step": 936
|
@@ -601,10 +601,10 @@
|
|
601 |
"eval_precision": 0.9682539682539683,
|
602 |
"eval_recall": 0.8472222222222222,
|
603 |
"eval_roc_auc": 0.961033950617284,
|
604 |
-
"eval_runtime": 1.
|
605 |
-
"eval_samples_per_second":
|
606 |
"eval_specificity": 0.9722222222222222,
|
607 |
-
"eval_steps_per_second": 0.
|
608 |
"eval_tn": 70,
|
609 |
"eval_tp": 61,
|
610 |
"step": 972
|
@@ -630,10 +630,10 @@
|
|
630 |
"eval_precision": 0.9841269841269841,
|
631 |
"eval_recall": 0.8611111111111112,
|
632 |
"eval_roc_auc": 0.9716435185185186,
|
633 |
-
"eval_runtime": 1.
|
634 |
-
"eval_samples_per_second":
|
635 |
"eval_specificity": 0.9861111111111112,
|
636 |
-
"eval_steps_per_second": 0.
|
637 |
"eval_tn": 71,
|
638 |
"eval_tp": 62,
|
639 |
"step": 1008
|
@@ -652,10 +652,10 @@
|
|
652 |
"eval_precision": 0.9295774647887324,
|
653 |
"eval_recall": 0.9166666666666666,
|
654 |
"eval_roc_auc": 0.9670138888888891,
|
655 |
-
"eval_runtime": 1.
|
656 |
-
"eval_samples_per_second":
|
657 |
"eval_specificity": 0.9305555555555556,
|
658 |
-
"eval_steps_per_second": 0.
|
659 |
"eval_tn": 67,
|
660 |
"eval_tp": 66,
|
661 |
"step": 1044
|
@@ -674,8 +674,8 @@
|
|
674 |
"eval_precision": 0.9552238805970149,
|
675 |
"eval_recall": 0.8888888888888888,
|
676 |
"eval_roc_auc": 0.9658564814814816,
|
677 |
-
"eval_runtime": 1.
|
678 |
-
"eval_samples_per_second": 91.
|
679 |
"eval_specificity": 0.9583333333333334,
|
680 |
"eval_steps_per_second": 0.633,
|
681 |
"eval_tn": 69,
|
@@ -696,10 +696,10 @@
|
|
696 |
"eval_precision": 0.9538461538461539,
|
697 |
"eval_recall": 0.8611111111111112,
|
698 |
"eval_roc_auc": 0.9635416666666667,
|
699 |
-
"eval_runtime": 1.
|
700 |
-
"eval_samples_per_second": 89.
|
701 |
"eval_specificity": 0.9583333333333334,
|
702 |
-
"eval_steps_per_second": 0.
|
703 |
"eval_tn": 69,
|
704 |
"eval_tp": 62,
|
705 |
"step": 1116
|
@@ -718,10 +718,10 @@
|
|
718 |
"eval_precision": 1.0,
|
719 |
"eval_recall": 0.8472222222222222,
|
720 |
"eval_roc_auc": 0.9363425925925926,
|
721 |
-
"eval_runtime": 1.
|
722 |
-
"eval_samples_per_second":
|
723 |
"eval_specificity": 1.0,
|
724 |
-
"eval_steps_per_second": 0.
|
725 |
"eval_tn": 72,
|
726 |
"eval_tp": 61,
|
727 |
"step": 1152
|
@@ -740,10 +740,10 @@
|
|
740 |
"eval_precision": 0.9696969696969697,
|
741 |
"eval_recall": 0.8888888888888888,
|
742 |
"eval_roc_auc": 0.9567901234567903,
|
743 |
-
"eval_runtime": 1.
|
744 |
-
"eval_samples_per_second":
|
745 |
"eval_specificity": 0.9722222222222222,
|
746 |
-
"eval_steps_per_second": 0.
|
747 |
"eval_tn": 70,
|
748 |
"eval_tp": 64,
|
749 |
"step": 1188
|
@@ -762,13 +762,372 @@
|
|
762 |
"eval_precision": 1.0,
|
763 |
"eval_recall": 0.8888888888888888,
|
764 |
"eval_roc_auc": 0.9633487654320988,
|
765 |
-
"eval_runtime": 1.
|
766 |
-
"eval_samples_per_second":
|
767 |
"eval_specificity": 1.0,
|
768 |
-
"eval_steps_per_second": 0.
|
769 |
"eval_tn": 72,
|
770 |
"eval_tp": 64,
|
771 |
"step": 1224
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
772 |
}
|
773 |
],
|
774 |
"logging_steps": 500,
|
@@ -783,12 +1142,12 @@
|
|
783 |
"should_evaluate": false,
|
784 |
"should_log": false,
|
785 |
"should_save": true,
|
786 |
-
"should_training_stop":
|
787 |
},
|
788 |
"attributes": {}
|
789 |
}
|
790 |
},
|
791 |
-
"total_flos":
|
792 |
"train_batch_size": 16,
|
793 |
"trial_name": null,
|
794 |
"trial_params": null
|
|
|
1 |
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 50.0,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 1800,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
|
|
22 |
"eval_precision": 0.691358024691358,
|
23 |
"eval_recall": 0.7777777777777778,
|
24 |
"eval_roc_auc": 0.7881944444444445,
|
25 |
+
"eval_runtime": 1.7448,
|
26 |
+
"eval_samples_per_second": 82.531,
|
27 |
"eval_specificity": 0.6527777777777778,
|
28 |
+
"eval_steps_per_second": 0.573,
|
29 |
"eval_tn": 47,
|
30 |
"eval_tp": 56,
|
31 |
"step": 36
|
|
|
44 |
"eval_precision": 1.0,
|
45 |
"eval_recall": 0.4583333333333333,
|
46 |
"eval_roc_auc": 0.8784722222222222,
|
47 |
+
"eval_runtime": 1.564,
|
48 |
+
"eval_samples_per_second": 92.072,
|
49 |
"eval_specificity": 1.0,
|
50 |
+
"eval_steps_per_second": 0.639,
|
51 |
"eval_tn": 72,
|
52 |
"eval_tp": 33,
|
53 |
"step": 72
|
|
|
66 |
"eval_precision": 0.94,
|
67 |
"eval_recall": 0.6527777777777778,
|
68 |
"eval_roc_auc": 0.8809799382716048,
|
69 |
+
"eval_runtime": 1.5621,
|
70 |
+
"eval_samples_per_second": 92.185,
|
71 |
"eval_specificity": 0.9583333333333334,
|
72 |
+
"eval_steps_per_second": 0.64,
|
73 |
"eval_tn": 69,
|
74 |
"eval_tp": 47,
|
75 |
"step": 108
|
|
|
88 |
"eval_precision": 0.9090909090909091,
|
89 |
"eval_recall": 0.8333333333333334,
|
90 |
"eval_roc_auc": 0.9261188271604939,
|
91 |
+
"eval_runtime": 1.5641,
|
92 |
+
"eval_samples_per_second": 92.065,
|
93 |
"eval_specificity": 0.9166666666666666,
|
94 |
"eval_steps_per_second": 0.639,
|
95 |
"eval_tn": 66,
|
|
|
110 |
"eval_precision": 0.90625,
|
111 |
"eval_recall": 0.8055555555555556,
|
112 |
"eval_roc_auc": 0.91820987654321,
|
113 |
+
"eval_runtime": 1.6068,
|
114 |
+
"eval_samples_per_second": 89.618,
|
115 |
"eval_specificity": 0.9166666666666666,
|
116 |
+
"eval_steps_per_second": 0.622,
|
117 |
"eval_tn": 66,
|
118 |
"eval_tp": 58,
|
119 |
"step": 180
|
|
|
132 |
"eval_precision": 0.9473684210526315,
|
133 |
"eval_recall": 0.75,
|
134 |
"eval_roc_auc": 0.9330632716049384,
|
135 |
+
"eval_runtime": 1.5703,
|
136 |
+
"eval_samples_per_second": 91.705,
|
137 |
"eval_specificity": 0.9583333333333334,
|
138 |
+
"eval_steps_per_second": 0.637,
|
139 |
"eval_tn": 69,
|
140 |
"eval_tp": 54,
|
141 |
"step": 216
|
|
|
154 |
"eval_precision": 0.8714285714285714,
|
155 |
"eval_recall": 0.8472222222222222,
|
156 |
"eval_roc_auc": 0.9386574074074074,
|
157 |
+
"eval_runtime": 1.5692,
|
158 |
+
"eval_samples_per_second": 91.766,
|
159 |
"eval_specificity": 0.875,
|
160 |
+
"eval_steps_per_second": 0.637,
|
161 |
"eval_tn": 63,
|
162 |
"eval_tp": 61,
|
163 |
"step": 252
|
|
|
176 |
"eval_precision": 0.9649122807017544,
|
177 |
"eval_recall": 0.7638888888888888,
|
178 |
"eval_roc_auc": 0.9415509259259259,
|
179 |
+
"eval_runtime": 1.564,
|
180 |
+
"eval_samples_per_second": 92.069,
|
181 |
"eval_specificity": 0.9722222222222222,
|
182 |
+
"eval_steps_per_second": 0.639,
|
183 |
"eval_tn": 70,
|
184 |
"eval_tp": 55,
|
185 |
"step": 288
|
|
|
198 |
"eval_precision": 1.0,
|
199 |
"eval_recall": 0.7777777777777778,
|
200 |
"eval_roc_auc": 0.9461805555555556,
|
201 |
+
"eval_runtime": 1.5731,
|
202 |
+
"eval_samples_per_second": 91.538,
|
203 |
"eval_specificity": 1.0,
|
204 |
+
"eval_steps_per_second": 0.636,
|
205 |
"eval_tn": 72,
|
206 |
"eval_tp": 56,
|
207 |
"step": 324
|
|
|
220 |
"eval_precision": 0.9666666666666667,
|
221 |
"eval_recall": 0.8055555555555556,
|
222 |
"eval_roc_auc": 0.9157021604938271,
|
223 |
+
"eval_runtime": 1.5699,
|
224 |
+
"eval_samples_per_second": 91.725,
|
225 |
"eval_specificity": 0.9722222222222222,
|
226 |
+
"eval_steps_per_second": 0.637,
|
227 |
"eval_tn": 70,
|
228 |
"eval_tp": 58,
|
229 |
"step": 360
|
|
|
242 |
"eval_precision": 0.9,
|
243 |
"eval_recall": 0.875,
|
244 |
"eval_roc_auc": 0.929398148148148,
|
245 |
+
"eval_runtime": 1.5762,
|
246 |
+
"eval_samples_per_second": 91.359,
|
247 |
"eval_specificity": 0.9027777777777778,
|
248 |
+
"eval_steps_per_second": 0.634,
|
249 |
"eval_tn": 65,
|
250 |
"eval_tp": 63,
|
251 |
"step": 396
|
|
|
264 |
"eval_precision": 0.921875,
|
265 |
"eval_recall": 0.8194444444444444,
|
266 |
"eval_roc_auc": 0.9430941358024691,
|
267 |
+
"eval_runtime": 1.5674,
|
268 |
+
"eval_samples_per_second": 91.874,
|
269 |
"eval_specificity": 0.9305555555555556,
|
270 |
+
"eval_steps_per_second": 0.638,
|
271 |
"eval_tn": 67,
|
272 |
"eval_tp": 59,
|
273 |
"step": 432
|
|
|
286 |
"eval_precision": 0.8857142857142857,
|
287 |
"eval_recall": 0.8611111111111112,
|
288 |
"eval_roc_auc": 0.9290123456790124,
|
289 |
+
"eval_runtime": 1.5785,
|
290 |
+
"eval_samples_per_second": 91.228,
|
291 |
"eval_specificity": 0.8888888888888888,
|
292 |
+
"eval_steps_per_second": 0.634,
|
293 |
"eval_tn": 64,
|
294 |
"eval_tp": 62,
|
295 |
"step": 468
|
|
|
315 |
"eval_precision": 0.8985507246376812,
|
316 |
"eval_recall": 0.8611111111111112,
|
317 |
"eval_roc_auc": 0.9479166666666667,
|
318 |
+
"eval_runtime": 1.5778,
|
319 |
+
"eval_samples_per_second": 91.264,
|
320 |
"eval_specificity": 0.9027777777777778,
|
321 |
+
"eval_steps_per_second": 0.634,
|
322 |
"eval_tn": 65,
|
323 |
"eval_tp": 62,
|
324 |
"step": 504
|
|
|
337 |
"eval_precision": 0.9538461538461539,
|
338 |
"eval_recall": 0.8611111111111112,
|
339 |
"eval_roc_auc": 0.9479166666666666,
|
340 |
+
"eval_runtime": 1.5734,
|
341 |
+
"eval_samples_per_second": 91.52,
|
342 |
"eval_specificity": 0.9583333333333334,
|
343 |
+
"eval_steps_per_second": 0.636,
|
344 |
"eval_tn": 69,
|
345 |
"eval_tp": 62,
|
346 |
"step": 540
|
|
|
359 |
"eval_precision": 1.0,
|
360 |
"eval_recall": 0.7777777777777778,
|
361 |
"eval_roc_auc": 0.9598765432098766,
|
362 |
+
"eval_runtime": 1.5683,
|
363 |
+
"eval_samples_per_second": 91.821,
|
364 |
"eval_specificity": 1.0,
|
365 |
+
"eval_steps_per_second": 0.638,
|
366 |
"eval_tn": 72,
|
367 |
"eval_tp": 56,
|
368 |
"step": 576
|
|
|
381 |
"eval_precision": 0.9833333333333333,
|
382 |
"eval_recall": 0.8194444444444444,
|
383 |
"eval_roc_auc": 0.9525462962962963,
|
384 |
+
"eval_runtime": 1.5821,
|
385 |
+
"eval_samples_per_second": 91.016,
|
386 |
"eval_specificity": 0.9861111111111112,
|
387 |
+
"eval_steps_per_second": 0.632,
|
388 |
"eval_tn": 71,
|
389 |
"eval_tp": 59,
|
390 |
"step": 612
|
|
|
403 |
"eval_precision": 0.9142857142857143,
|
404 |
"eval_recall": 0.8888888888888888,
|
405 |
"eval_roc_auc": 0.957175925925926,
|
406 |
+
"eval_runtime": 1.6038,
|
407 |
+
"eval_samples_per_second": 89.787,
|
408 |
"eval_specificity": 0.9166666666666666,
|
409 |
+
"eval_steps_per_second": 0.624,
|
410 |
"eval_tn": 66,
|
411 |
"eval_tp": 64,
|
412 |
"step": 648
|
|
|
425 |
"eval_precision": 0.9836065573770492,
|
426 |
"eval_recall": 0.8333333333333334,
|
427 |
"eval_roc_auc": 0.961033950617284,
|
428 |
+
"eval_runtime": 1.5679,
|
429 |
+
"eval_samples_per_second": 91.842,
|
430 |
"eval_specificity": 0.9861111111111112,
|
431 |
+
"eval_steps_per_second": 0.638,
|
432 |
"eval_tn": 71,
|
433 |
"eval_tp": 60,
|
434 |
"step": 684
|
|
|
447 |
"eval_precision": 0.9523809523809523,
|
448 |
"eval_recall": 0.8333333333333334,
|
449 |
"eval_roc_auc": 0.964891975308642,
|
450 |
+
"eval_runtime": 1.5824,
|
451 |
+
"eval_samples_per_second": 91.003,
|
452 |
"eval_specificity": 0.9583333333333334,
|
453 |
+
"eval_steps_per_second": 0.632,
|
454 |
"eval_tn": 69,
|
455 |
"eval_tp": 60,
|
456 |
"step": 720
|
|
|
469 |
"eval_precision": 0.8481012658227848,
|
470 |
"eval_recall": 0.9305555555555556,
|
471 |
"eval_roc_auc": 0.9456018518518517,
|
472 |
+
"eval_runtime": 1.5692,
|
473 |
+
"eval_samples_per_second": 91.769,
|
474 |
"eval_specificity": 0.8333333333333334,
|
475 |
+
"eval_steps_per_second": 0.637,
|
476 |
"eval_tn": 60,
|
477 |
"eval_tp": 67,
|
478 |
"step": 756
|
|
|
491 |
"eval_precision": 0.9,
|
492 |
"eval_recall": 0.875,
|
493 |
"eval_roc_auc": 0.9533179012345679,
|
494 |
+
"eval_runtime": 1.5845,
|
495 |
+
"eval_samples_per_second": 90.883,
|
496 |
"eval_specificity": 0.9027777777777778,
|
497 |
+
"eval_steps_per_second": 0.631,
|
498 |
"eval_tn": 65,
|
499 |
"eval_tp": 63,
|
500 |
"step": 792
|
|
|
513 |
"eval_precision": 0.9264705882352942,
|
514 |
"eval_recall": 0.875,
|
515 |
"eval_roc_auc": 0.9672067901234568,
|
516 |
+
"eval_runtime": 1.5931,
|
517 |
+
"eval_samples_per_second": 90.391,
|
518 |
"eval_specificity": 0.9305555555555556,
|
519 |
+
"eval_steps_per_second": 0.628,
|
520 |
"eval_tn": 67,
|
521 |
"eval_tp": 63,
|
522 |
"step": 828
|
|
|
535 |
"eval_precision": 0.96875,
|
536 |
"eval_recall": 0.8611111111111112,
|
537 |
"eval_roc_auc": 0.9457947530864197,
|
538 |
+
"eval_runtime": 1.5739,
|
539 |
+
"eval_samples_per_second": 91.49,
|
540 |
"eval_specificity": 0.9722222222222222,
|
541 |
+
"eval_steps_per_second": 0.635,
|
542 |
"eval_tn": 70,
|
543 |
"eval_tp": 62,
|
544 |
"step": 864
|
|
|
557 |
"eval_precision": 0.9538461538461539,
|
558 |
"eval_recall": 0.8611111111111112,
|
559 |
"eval_roc_auc": 0.9637345679012346,
|
560 |
+
"eval_runtime": 1.5981,
|
561 |
+
"eval_samples_per_second": 90.107,
|
562 |
"eval_specificity": 0.9583333333333334,
|
563 |
+
"eval_steps_per_second": 0.626,
|
564 |
"eval_tn": 69,
|
565 |
"eval_tp": 62,
|
566 |
"step": 900
|
|
|
579 |
"eval_precision": 0.9545454545454546,
|
580 |
"eval_recall": 0.875,
|
581 |
"eval_roc_auc": 0.9591049382716049,
|
582 |
+
"eval_runtime": 1.5707,
|
583 |
+
"eval_samples_per_second": 91.676,
|
584 |
"eval_specificity": 0.9583333333333334,
|
585 |
+
"eval_steps_per_second": 0.637,
|
586 |
"eval_tn": 69,
|
587 |
"eval_tp": 63,
|
588 |
"step": 936
|
|
|
601 |
"eval_precision": 0.9682539682539683,
|
602 |
"eval_recall": 0.8472222222222222,
|
603 |
"eval_roc_auc": 0.961033950617284,
|
604 |
+
"eval_runtime": 1.5701,
|
605 |
+
"eval_samples_per_second": 91.714,
|
606 |
"eval_specificity": 0.9722222222222222,
|
607 |
+
"eval_steps_per_second": 0.637,
|
608 |
"eval_tn": 70,
|
609 |
"eval_tp": 61,
|
610 |
"step": 972
|
|
|
630 |
"eval_precision": 0.9841269841269841,
|
631 |
"eval_recall": 0.8611111111111112,
|
632 |
"eval_roc_auc": 0.9716435185185186,
|
633 |
+
"eval_runtime": 1.5758,
|
634 |
+
"eval_samples_per_second": 91.382,
|
635 |
"eval_specificity": 0.9861111111111112,
|
636 |
+
"eval_steps_per_second": 0.635,
|
637 |
"eval_tn": 71,
|
638 |
"eval_tp": 62,
|
639 |
"step": 1008
|
|
|
652 |
"eval_precision": 0.9295774647887324,
|
653 |
"eval_recall": 0.9166666666666666,
|
654 |
"eval_roc_auc": 0.9670138888888891,
|
655 |
+
"eval_runtime": 1.609,
|
656 |
+
"eval_samples_per_second": 89.498,
|
657 |
"eval_specificity": 0.9305555555555556,
|
658 |
+
"eval_steps_per_second": 0.622,
|
659 |
"eval_tn": 67,
|
660 |
"eval_tp": 66,
|
661 |
"step": 1044
|
|
|
674 |
"eval_precision": 0.9552238805970149,
|
675 |
"eval_recall": 0.8888888888888888,
|
676 |
"eval_roc_auc": 0.9658564814814816,
|
677 |
+
"eval_runtime": 1.5802,
|
678 |
+
"eval_samples_per_second": 91.126,
|
679 |
"eval_specificity": 0.9583333333333334,
|
680 |
"eval_steps_per_second": 0.633,
|
681 |
"eval_tn": 69,
|
|
|
696 |
"eval_precision": 0.9538461538461539,
|
697 |
"eval_recall": 0.8611111111111112,
|
698 |
"eval_roc_auc": 0.9635416666666667,
|
699 |
+
"eval_runtime": 1.606,
|
700 |
+
"eval_samples_per_second": 89.664,
|
701 |
"eval_specificity": 0.9583333333333334,
|
702 |
+
"eval_steps_per_second": 0.623,
|
703 |
"eval_tn": 69,
|
704 |
"eval_tp": 62,
|
705 |
"step": 1116
|
|
|
718 |
"eval_precision": 1.0,
|
719 |
"eval_recall": 0.8472222222222222,
|
720 |
"eval_roc_auc": 0.9363425925925926,
|
721 |
+
"eval_runtime": 1.6096,
|
722 |
+
"eval_samples_per_second": 89.462,
|
723 |
"eval_specificity": 1.0,
|
724 |
+
"eval_steps_per_second": 0.621,
|
725 |
"eval_tn": 72,
|
726 |
"eval_tp": 61,
|
727 |
"step": 1152
|
|
|
740 |
"eval_precision": 0.9696969696969697,
|
741 |
"eval_recall": 0.8888888888888888,
|
742 |
"eval_roc_auc": 0.9567901234567903,
|
743 |
+
"eval_runtime": 1.6127,
|
744 |
+
"eval_samples_per_second": 89.292,
|
745 |
"eval_specificity": 0.9722222222222222,
|
746 |
+
"eval_steps_per_second": 0.62,
|
747 |
"eval_tn": 70,
|
748 |
"eval_tp": 64,
|
749 |
"step": 1188
|
|
|
762 |
"eval_precision": 1.0,
|
763 |
"eval_recall": 0.8888888888888888,
|
764 |
"eval_roc_auc": 0.9633487654320988,
|
765 |
+
"eval_runtime": 1.574,
|
766 |
+
"eval_samples_per_second": 91.488,
|
767 |
"eval_specificity": 1.0,
|
768 |
+
"eval_steps_per_second": 0.635,
|
769 |
"eval_tn": 72,
|
770 |
"eval_tp": 64,
|
771 |
"step": 1224
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 35.0,
|
775 |
+
"eval_accuracy": 0.9166666666666666,
|
776 |
+
"eval_auc": 0.9575617283950617,
|
777 |
+
"eval_balanced_acc": 0.9166666666666667,
|
778 |
+
"eval_f1": 0.9090909090909091,
|
779 |
+
"eval_fn": 12,
|
780 |
+
"eval_fp": 0,
|
781 |
+
"eval_gmean": 0.9128709291752769,
|
782 |
+
"eval_loss": 0.23990610241889954,
|
783 |
+
"eval_matthews_correlation": 0.8451542547285166,
|
784 |
+
"eval_precision": 1.0,
|
785 |
+
"eval_recall": 0.8333333333333334,
|
786 |
+
"eval_roc_auc": 0.9575617283950617,
|
787 |
+
"eval_runtime": 1.5748,
|
788 |
+
"eval_samples_per_second": 91.441,
|
789 |
+
"eval_specificity": 1.0,
|
790 |
+
"eval_steps_per_second": 0.635,
|
791 |
+
"eval_tn": 72,
|
792 |
+
"eval_tp": 60,
|
793 |
+
"step": 1260
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 36.0,
|
797 |
+
"eval_accuracy": 0.9236111111111112,
|
798 |
+
"eval_auc": 0.9538966049382716,
|
799 |
+
"eval_balanced_acc": 0.9236111111111112,
|
800 |
+
"eval_f1": 0.9185185185185185,
|
801 |
+
"eval_fn": 10,
|
802 |
+
"eval_fp": 1,
|
803 |
+
"eval_gmean": 0.9214940230776874,
|
804 |
+
"eval_loss": 0.23596133291721344,
|
805 |
+
"eval_matthews_correlation": 0.8539197353171429,
|
806 |
+
"eval_precision": 0.9841269841269841,
|
807 |
+
"eval_recall": 0.8611111111111112,
|
808 |
+
"eval_roc_auc": 0.9538966049382716,
|
809 |
+
"eval_runtime": 1.5725,
|
810 |
+
"eval_samples_per_second": 91.573,
|
811 |
+
"eval_specificity": 0.9861111111111112,
|
812 |
+
"eval_steps_per_second": 0.636,
|
813 |
+
"eval_tn": 71,
|
814 |
+
"eval_tp": 62,
|
815 |
+
"step": 1296
|
816 |
+
},
|
817 |
+
{
|
818 |
+
"epoch": 37.0,
|
819 |
+
"eval_accuracy": 0.9305555555555556,
|
820 |
+
"eval_auc": 0.9683641975308642,
|
821 |
+
"eval_balanced_acc": 0.9305555555555556,
|
822 |
+
"eval_f1": 0.927536231884058,
|
823 |
+
"eval_fn": 8,
|
824 |
+
"eval_fp": 2,
|
825 |
+
"eval_gmean": 0.9296222517045284,
|
826 |
+
"eval_loss": 0.24645011126995087,
|
827 |
+
"eval_matthews_correlation": 0.8641167436739938,
|
828 |
+
"eval_precision": 0.9696969696969697,
|
829 |
+
"eval_recall": 0.8888888888888888,
|
830 |
+
"eval_roc_auc": 0.9683641975308642,
|
831 |
+
"eval_runtime": 1.5741,
|
832 |
+
"eval_samples_per_second": 91.483,
|
833 |
+
"eval_specificity": 0.9722222222222222,
|
834 |
+
"eval_steps_per_second": 0.635,
|
835 |
+
"eval_tn": 70,
|
836 |
+
"eval_tp": 64,
|
837 |
+
"step": 1332
|
838 |
+
},
|
839 |
+
{
|
840 |
+
"epoch": 38.0,
|
841 |
+
"eval_accuracy": 0.9375,
|
842 |
+
"eval_auc": 0.9710648148148149,
|
843 |
+
"eval_balanced_acc": 0.9375,
|
844 |
+
"eval_f1": 0.9343065693430657,
|
845 |
+
"eval_fn": 8,
|
846 |
+
"eval_fp": 1,
|
847 |
+
"eval_gmean": 0.9362388636862621,
|
848 |
+
"eval_loss": 0.20392011106014252,
|
849 |
+
"eval_matthews_correlation": 0.8791648688396009,
|
850 |
+
"eval_precision": 0.9846153846153847,
|
851 |
+
"eval_recall": 0.8888888888888888,
|
852 |
+
"eval_roc_auc": 0.9710648148148149,
|
853 |
+
"eval_runtime": 1.5784,
|
854 |
+
"eval_samples_per_second": 91.233,
|
855 |
+
"eval_specificity": 0.9861111111111112,
|
856 |
+
"eval_steps_per_second": 0.634,
|
857 |
+
"eval_tn": 71,
|
858 |
+
"eval_tp": 64,
|
859 |
+
"step": 1368
|
860 |
+
},
|
861 |
+
{
|
862 |
+
"epoch": 39.0,
|
863 |
+
"eval_accuracy": 0.9375,
|
864 |
+
"eval_auc": 0.9737654320987655,
|
865 |
+
"eval_balanced_acc": 0.9375,
|
866 |
+
"eval_f1": 0.9343065693430657,
|
867 |
+
"eval_fn": 8,
|
868 |
+
"eval_fp": 1,
|
869 |
+
"eval_gmean": 0.9362388636862621,
|
870 |
+
"eval_loss": 0.1912021040916443,
|
871 |
+
"eval_matthews_correlation": 0.8791648688396009,
|
872 |
+
"eval_precision": 0.9846153846153847,
|
873 |
+
"eval_recall": 0.8888888888888888,
|
874 |
+
"eval_roc_auc": 0.9737654320987655,
|
875 |
+
"eval_runtime": 1.5696,
|
876 |
+
"eval_samples_per_second": 91.745,
|
877 |
+
"eval_specificity": 0.9861111111111112,
|
878 |
+
"eval_steps_per_second": 0.637,
|
879 |
+
"eval_tn": 71,
|
880 |
+
"eval_tp": 64,
|
881 |
+
"step": 1404
|
882 |
+
},
|
883 |
+
{
|
884 |
+
"epoch": 40.0,
|
885 |
+
"eval_accuracy": 0.9444444444444444,
|
886 |
+
"eval_auc": 0.970679012345679,
|
887 |
+
"eval_balanced_acc": 0.9444444444444444,
|
888 |
+
"eval_f1": 0.9411764705882353,
|
889 |
+
"eval_fn": 8,
|
890 |
+
"eval_fp": 0,
|
891 |
+
"eval_gmean": 0.9428090415820634,
|
892 |
+
"eval_loss": 0.20200136303901672,
|
893 |
+
"eval_matthews_correlation": 0.8944271909999159,
|
894 |
+
"eval_precision": 1.0,
|
895 |
+
"eval_recall": 0.8888888888888888,
|
896 |
+
"eval_roc_auc": 0.970679012345679,
|
897 |
+
"eval_runtime": 1.6039,
|
898 |
+
"eval_samples_per_second": 89.78,
|
899 |
+
"eval_specificity": 1.0,
|
900 |
+
"eval_steps_per_second": 0.623,
|
901 |
+
"eval_tn": 72,
|
902 |
+
"eval_tp": 64,
|
903 |
+
"step": 1440
|
904 |
+
},
|
905 |
+
{
|
906 |
+
"epoch": 41.0,
|
907 |
+
"eval_accuracy": 0.9444444444444444,
|
908 |
+
"eval_auc": 0.9758873456790124,
|
909 |
+
"eval_balanced_acc": 0.9444444444444444,
|
910 |
+
"eval_f1": 0.9411764705882353,
|
911 |
+
"eval_fn": 8,
|
912 |
+
"eval_fp": 0,
|
913 |
+
"eval_gmean": 0.9428090415820634,
|
914 |
+
"eval_loss": 0.1961589753627777,
|
915 |
+
"eval_matthews_correlation": 0.8944271909999159,
|
916 |
+
"eval_precision": 1.0,
|
917 |
+
"eval_recall": 0.8888888888888888,
|
918 |
+
"eval_roc_auc": 0.9758873456790124,
|
919 |
+
"eval_runtime": 1.5711,
|
920 |
+
"eval_samples_per_second": 91.653,
|
921 |
+
"eval_specificity": 1.0,
|
922 |
+
"eval_steps_per_second": 0.636,
|
923 |
+
"eval_tn": 72,
|
924 |
+
"eval_tp": 64,
|
925 |
+
"step": 1476
|
926 |
+
},
|
927 |
+
{
|
928 |
+
"epoch": 41.666666666666664,
|
929 |
+
"grad_norm": 0.13324905931949615,
|
930 |
+
"learning_rate": 8.771929824561403e-05,
|
931 |
+
"loss": 0.1136,
|
932 |
+
"step": 1500
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 42.0,
|
936 |
+
"eval_accuracy": 0.9444444444444444,
|
937 |
+
"eval_auc": 0.9751157407407407,
|
938 |
+
"eval_balanced_acc": 0.9444444444444444,
|
939 |
+
"eval_f1": 0.9411764705882353,
|
940 |
+
"eval_fn": 8,
|
941 |
+
"eval_fp": 0,
|
942 |
+
"eval_gmean": 0.9428090415820634,
|
943 |
+
"eval_loss": 0.1993894726037979,
|
944 |
+
"eval_matthews_correlation": 0.8944271909999159,
|
945 |
+
"eval_precision": 1.0,
|
946 |
+
"eval_recall": 0.8888888888888888,
|
947 |
+
"eval_roc_auc": 0.9751157407407407,
|
948 |
+
"eval_runtime": 1.5781,
|
949 |
+
"eval_samples_per_second": 91.25,
|
950 |
+
"eval_specificity": 1.0,
|
951 |
+
"eval_steps_per_second": 0.634,
|
952 |
+
"eval_tn": 72,
|
953 |
+
"eval_tp": 64,
|
954 |
+
"step": 1512
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 43.0,
|
958 |
+
"eval_accuracy": 0.9375,
|
959 |
+
"eval_auc": 0.9810956790123457,
|
960 |
+
"eval_balanced_acc": 0.9375,
|
961 |
+
"eval_f1": 0.9343065693430657,
|
962 |
+
"eval_fn": 8,
|
963 |
+
"eval_fp": 1,
|
964 |
+
"eval_gmean": 0.9362388636862621,
|
965 |
+
"eval_loss": 0.1959426999092102,
|
966 |
+
"eval_matthews_correlation": 0.8791648688396009,
|
967 |
+
"eval_precision": 0.9846153846153847,
|
968 |
+
"eval_recall": 0.8888888888888888,
|
969 |
+
"eval_roc_auc": 0.9810956790123457,
|
970 |
+
"eval_runtime": 1.5846,
|
971 |
+
"eval_samples_per_second": 90.874,
|
972 |
+
"eval_specificity": 0.9861111111111112,
|
973 |
+
"eval_steps_per_second": 0.631,
|
974 |
+
"eval_tn": 71,
|
975 |
+
"eval_tp": 64,
|
976 |
+
"step": 1548
|
977 |
+
},
|
978 |
+
{
|
979 |
+
"epoch": 44.0,
|
980 |
+
"eval_accuracy": 0.9375,
|
981 |
+
"eval_auc": 0.9824459876543209,
|
982 |
+
"eval_balanced_acc": 0.9375,
|
983 |
+
"eval_f1": 0.9343065693430657,
|
984 |
+
"eval_fn": 8,
|
985 |
+
"eval_fp": 1,
|
986 |
+
"eval_gmean": 0.9362388636862621,
|
987 |
+
"eval_loss": 0.19525253772735596,
|
988 |
+
"eval_matthews_correlation": 0.8791648688396009,
|
989 |
+
"eval_precision": 0.9846153846153847,
|
990 |
+
"eval_recall": 0.8888888888888888,
|
991 |
+
"eval_roc_auc": 0.9824459876543209,
|
992 |
+
"eval_runtime": 1.5729,
|
993 |
+
"eval_samples_per_second": 91.553,
|
994 |
+
"eval_specificity": 0.9861111111111112,
|
995 |
+
"eval_steps_per_second": 0.636,
|
996 |
+
"eval_tn": 71,
|
997 |
+
"eval_tp": 64,
|
998 |
+
"step": 1584
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 45.0,
|
1002 |
+
"eval_accuracy": 0.9444444444444444,
|
1003 |
+
"eval_auc": 0.9836033950617284,
|
1004 |
+
"eval_balanced_acc": 0.9444444444444444,
|
1005 |
+
"eval_f1": 0.9411764705882353,
|
1006 |
+
"eval_fn": 8,
|
1007 |
+
"eval_fp": 0,
|
1008 |
+
"eval_gmean": 0.9428090415820634,
|
1009 |
+
"eval_loss": 0.19979047775268555,
|
1010 |
+
"eval_matthews_correlation": 0.8944271909999159,
|
1011 |
+
"eval_precision": 1.0,
|
1012 |
+
"eval_recall": 0.8888888888888888,
|
1013 |
+
"eval_roc_auc": 0.9836033950617284,
|
1014 |
+
"eval_runtime": 1.5771,
|
1015 |
+
"eval_samples_per_second": 91.309,
|
1016 |
+
"eval_specificity": 1.0,
|
1017 |
+
"eval_steps_per_second": 0.634,
|
1018 |
+
"eval_tn": 72,
|
1019 |
+
"eval_tp": 64,
|
1020 |
+
"step": 1620
|
1021 |
+
},
|
1022 |
+
{
|
1023 |
+
"epoch": 46.0,
|
1024 |
+
"eval_accuracy": 0.9375,
|
1025 |
+
"eval_auc": 0.9818672839506173,
|
1026 |
+
"eval_balanced_acc": 0.9375,
|
1027 |
+
"eval_f1": 0.9343065693430657,
|
1028 |
+
"eval_fn": 8,
|
1029 |
+
"eval_fp": 1,
|
1030 |
+
"eval_gmean": 0.9362388636862621,
|
1031 |
+
"eval_loss": 0.19916905462741852,
|
1032 |
+
"eval_matthews_correlation": 0.8791648688396009,
|
1033 |
+
"eval_precision": 0.9846153846153847,
|
1034 |
+
"eval_recall": 0.8888888888888888,
|
1035 |
+
"eval_roc_auc": 0.9818672839506173,
|
1036 |
+
"eval_runtime": 1.5731,
|
1037 |
+
"eval_samples_per_second": 91.542,
|
1038 |
+
"eval_specificity": 0.9861111111111112,
|
1039 |
+
"eval_steps_per_second": 0.636,
|
1040 |
+
"eval_tn": 71,
|
1041 |
+
"eval_tp": 64,
|
1042 |
+
"step": 1656
|
1043 |
+
},
|
1044 |
+
{
|
1045 |
+
"epoch": 47.0,
|
1046 |
+
"eval_accuracy": 0.9444444444444444,
|
1047 |
+
"eval_auc": 0.9820601851851852,
|
1048 |
+
"eval_balanced_acc": 0.9444444444444444,
|
1049 |
+
"eval_f1": 0.9411764705882353,
|
1050 |
+
"eval_fn": 8,
|
1051 |
+
"eval_fp": 0,
|
1052 |
+
"eval_gmean": 0.9428090415820634,
|
1053 |
+
"eval_loss": 0.20321370661258698,
|
1054 |
+
"eval_matthews_correlation": 0.8944271909999159,
|
1055 |
+
"eval_precision": 1.0,
|
1056 |
+
"eval_recall": 0.8888888888888888,
|
1057 |
+
"eval_roc_auc": 0.9820601851851852,
|
1058 |
+
"eval_runtime": 1.5764,
|
1059 |
+
"eval_samples_per_second": 91.349,
|
1060 |
+
"eval_specificity": 1.0,
|
1061 |
+
"eval_steps_per_second": 0.634,
|
1062 |
+
"eval_tn": 72,
|
1063 |
+
"eval_tp": 64,
|
1064 |
+
"step": 1692
|
1065 |
+
},
|
1066 |
+
{
|
1067 |
+
"epoch": 48.0,
|
1068 |
+
"eval_accuracy": 0.9444444444444444,
|
1069 |
+
"eval_auc": 0.9809027777777778,
|
1070 |
+
"eval_balanced_acc": 0.9444444444444444,
|
1071 |
+
"eval_f1": 0.9411764705882353,
|
1072 |
+
"eval_fn": 8,
|
1073 |
+
"eval_fp": 0,
|
1074 |
+
"eval_gmean": 0.9428090415820634,
|
1075 |
+
"eval_loss": 0.2023700326681137,
|
1076 |
+
"eval_matthews_correlation": 0.8944271909999159,
|
1077 |
+
"eval_precision": 1.0,
|
1078 |
+
"eval_recall": 0.8888888888888888,
|
1079 |
+
"eval_roc_auc": 0.9809027777777778,
|
1080 |
+
"eval_runtime": 1.5713,
|
1081 |
+
"eval_samples_per_second": 91.644,
|
1082 |
+
"eval_specificity": 1.0,
|
1083 |
+
"eval_steps_per_second": 0.636,
|
1084 |
+
"eval_tn": 72,
|
1085 |
+
"eval_tp": 64,
|
1086 |
+
"step": 1728
|
1087 |
+
},
|
1088 |
+
{
|
1089 |
+
"epoch": 49.0,
|
1090 |
+
"eval_accuracy": 0.9444444444444444,
|
1091 |
+
"eval_auc": 0.9803240740740742,
|
1092 |
+
"eval_balanced_acc": 0.9444444444444444,
|
1093 |
+
"eval_f1": 0.9411764705882353,
|
1094 |
+
"eval_fn": 8,
|
1095 |
+
"eval_fp": 0,
|
1096 |
+
"eval_gmean": 0.9428090415820634,
|
1097 |
+
"eval_loss": 0.20228758454322815,
|
1098 |
+
"eval_matthews_correlation": 0.8944271909999159,
|
1099 |
+
"eval_precision": 1.0,
|
1100 |
+
"eval_recall": 0.8888888888888888,
|
1101 |
+
"eval_roc_auc": 0.9803240740740742,
|
1102 |
+
"eval_runtime": 1.5796,
|
1103 |
+
"eval_samples_per_second": 91.16,
|
1104 |
+
"eval_specificity": 1.0,
|
1105 |
+
"eval_steps_per_second": 0.633,
|
1106 |
+
"eval_tn": 72,
|
1107 |
+
"eval_tp": 64,
|
1108 |
+
"step": 1764
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 50.0,
|
1112 |
+
"eval_accuracy": 0.9375,
|
1113 |
+
"eval_auc": 0.9797453703703703,
|
1114 |
+
"eval_balanced_acc": 0.9375,
|
1115 |
+
"eval_f1": 0.9343065693430657,
|
1116 |
+
"eval_fn": 8,
|
1117 |
+
"eval_fp": 1,
|
1118 |
+
"eval_gmean": 0.9362388636862621,
|
1119 |
+
"eval_loss": 0.20149865746498108,
|
1120 |
+
"eval_matthews_correlation": 0.8791648688396009,
|
1121 |
+
"eval_precision": 0.9846153846153847,
|
1122 |
+
"eval_recall": 0.8888888888888888,
|
1123 |
+
"eval_roc_auc": 0.9797453703703703,
|
1124 |
+
"eval_runtime": 1.5697,
|
1125 |
+
"eval_samples_per_second": 91.74,
|
1126 |
+
"eval_specificity": 0.9861111111111112,
|
1127 |
+
"eval_steps_per_second": 0.637,
|
1128 |
+
"eval_tn": 71,
|
1129 |
+
"eval_tp": 64,
|
1130 |
+
"step": 1800
|
1131 |
}
|
1132 |
],
|
1133 |
"logging_steps": 500,
|
|
|
1142 |
"should_evaluate": false,
|
1143 |
"should_log": false,
|
1144 |
"should_save": true,
|
1145 |
+
"should_training_stop": true
|
1146 |
},
|
1147 |
"attributes": {}
|
1148 |
}
|
1149 |
},
|
1150 |
+
"total_flos": 7568362736557056.0,
|
1151 |
"train_batch_size": 16,
|
1152 |
"trial_name": null,
|
1153 |
"trial_params": null
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:16c25ba32b3d7a2dc23d0eb48efdc875efa4bbc703183fc9f9055e824f0bd152
|
3 |
+
size 5496
|