End of training
Browse files- README.md +2 -0
- all_results.json +16 -16
- eval_results.json +8 -8
- predict_results.json +4 -4
- predict_results.txt +35 -35
- runs/Jun03_13-33-12_a358b85c7679/events.out.tfevents.1717422242.a358b85c7679.111292.1 +3 -0
- train_results.json +4 -4
- trainer_state.json +200 -200
README.md
CHANGED
@@ -1,4 +1,6 @@
|
|
1 |
---
|
|
|
|
|
2 |
license: mit
|
3 |
base_model: indolem/indobert-base-uncased
|
4 |
tags:
|
|
|
1 |
---
|
2 |
+
language:
|
3 |
+
- id
|
4 |
license: mit
|
5 |
base_model: indolem/indobert-base-uncased
|
6 |
tags:
|
all_results.json
CHANGED
@@ -1,21 +1,21 @@
|
|
1 |
{
|
2 |
-
"accuracy": 0.
|
3 |
"epoch": 20.0,
|
4 |
-
"eval_accuracy": 0.
|
5 |
-
"eval_f1": 0.
|
6 |
-
"eval_loss": 0.
|
7 |
-
"eval_precision": 0.
|
8 |
-
"eval_recall": 0.
|
9 |
-
"eval_runtime":
|
10 |
"eval_samples": 399,
|
11 |
-
"eval_samples_per_second":
|
12 |
-
"eval_steps_per_second":
|
13 |
-
"f1": 0.
|
14 |
-
"precision": 0.
|
15 |
-
"recall": 0.
|
16 |
-
"train_loss": 0.
|
17 |
-
"train_runtime":
|
18 |
"train_samples": 3638,
|
19 |
-
"train_samples_per_second":
|
20 |
-
"train_steps_per_second":
|
21 |
}
|
|
|
1 |
{
|
2 |
+
"accuracy": 0.9050445103857567,
|
3 |
"epoch": 20.0,
|
4 |
+
"eval_accuracy": 0.8872180451127819,
|
5 |
+
"eval_f1": 0.8649563392675828,
|
6 |
+
"eval_loss": 0.32958927750587463,
|
7 |
+
"eval_precision": 0.8623655913978494,
|
8 |
+
"eval_recall": 0.8677032187670486,
|
9 |
+
"eval_runtime": 1.8306,
|
10 |
"eval_samples": 399,
|
11 |
+
"eval_samples_per_second": 217.959,
|
12 |
+
"eval_steps_per_second": 27.313,
|
13 |
+
"f1": 0.887526074259491,
|
14 |
+
"precision": 0.8821336208866023,
|
15 |
+
"recall": 0.8936152188032418,
|
16 |
+
"train_loss": 0.24024685015443895,
|
17 |
+
"train_runtime": 634.5102,
|
18 |
"train_samples": 3638,
|
19 |
+
"train_samples_per_second": 114.671,
|
20 |
+
"train_steps_per_second": 3.845
|
21 |
}
|
eval_results.json
CHANGED
@@ -1,12 +1,12 @@
|
|
1 |
{
|
2 |
"epoch": 20.0,
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_f1": 0.
|
5 |
-
"eval_loss": 0.
|
6 |
-
"eval_precision": 0.
|
7 |
-
"eval_recall": 0.
|
8 |
-
"eval_runtime":
|
9 |
"eval_samples": 399,
|
10 |
-
"eval_samples_per_second":
|
11 |
-
"eval_steps_per_second":
|
12 |
}
|
|
|
1 |
{
|
2 |
"epoch": 20.0,
|
3 |
+
"eval_accuracy": 0.8872180451127819,
|
4 |
+
"eval_f1": 0.8649563392675828,
|
5 |
+
"eval_loss": 0.32958927750587463,
|
6 |
+
"eval_precision": 0.8623655913978494,
|
7 |
+
"eval_recall": 0.8677032187670486,
|
8 |
+
"eval_runtime": 1.8306,
|
9 |
"eval_samples": 399,
|
10 |
+
"eval_samples_per_second": 217.959,
|
11 |
+
"eval_steps_per_second": 27.313
|
12 |
}
|
predict_results.json
CHANGED
@@ -1,6 +1,6 @@
|
|
1 |
{
|
2 |
-
"accuracy": 0.
|
3 |
-
"f1": 0.
|
4 |
-
"precision": 0.
|
5 |
-
"recall": 0.
|
6 |
}
|
|
|
1 |
{
|
2 |
+
"accuracy": 0.9050445103857567,
|
3 |
+
"f1": 0.887526074259491,
|
4 |
+
"precision": 0.8821336208866023,
|
5 |
+
"recall": 0.8936152188032418
|
6 |
}
|
predict_results.txt
CHANGED
@@ -17,14 +17,14 @@ index prediction
|
|
17 |
15 1
|
18 |
16 1
|
19 |
17 1
|
20 |
-
18
|
21 |
19 1
|
22 |
20 1
|
23 |
21 1
|
24 |
-
22
|
25 |
23 1
|
26 |
24 1
|
27 |
-
25
|
28 |
26 0
|
29 |
27 1
|
30 |
28 1
|
@@ -35,12 +35,12 @@ index prediction
|
|
35 |
33 1
|
36 |
34 1
|
37 |
35 1
|
38 |
-
36
|
39 |
37 1
|
40 |
38 1
|
41 |
39 1
|
42 |
40 1
|
43 |
-
41
|
44 |
42 1
|
45 |
43 1
|
46 |
44 1
|
@@ -56,14 +56,14 @@ index prediction
|
|
56 |
54 1
|
57 |
55 1
|
58 |
56 1
|
59 |
-
57
|
60 |
58 1
|
61 |
59 1
|
62 |
60 0
|
63 |
61 1
|
64 |
62 1
|
65 |
63 1
|
66 |
-
64
|
67 |
65 1
|
68 |
66 1
|
69 |
67 0
|
@@ -75,13 +75,13 @@ index prediction
|
|
75 |
73 1
|
76 |
74 1
|
77 |
75 0
|
78 |
-
76
|
79 |
77 1
|
80 |
78 1
|
81 |
79 1
|
82 |
80 1
|
83 |
81 1
|
84 |
-
82
|
85 |
83 0
|
86 |
84 1
|
87 |
85 1
|
@@ -89,7 +89,7 @@ index prediction
|
|
89 |
87 1
|
90 |
88 1
|
91 |
89 1
|
92 |
-
90
|
93 |
91 1
|
94 |
92 1
|
95 |
93 1
|
@@ -101,12 +101,12 @@ index prediction
|
|
101 |
99 1
|
102 |
100 1
|
103 |
101 1
|
104 |
-
102
|
105 |
103 1
|
106 |
104 1
|
107 |
105 1
|
108 |
106 1
|
109 |
-
107
|
110 |
108 1
|
111 |
109 1
|
112 |
110 1
|
@@ -119,8 +119,8 @@ index prediction
|
|
119 |
117 1
|
120 |
118 1
|
121 |
119 1
|
122 |
-
120
|
123 |
-
121
|
124 |
122 1
|
125 |
123 1
|
126 |
124 0
|
@@ -180,7 +180,7 @@ index prediction
|
|
180 |
178 1
|
181 |
179 0
|
182 |
180 1
|
183 |
-
181
|
184 |
182 1
|
185 |
183 1
|
186 |
184 1
|
@@ -220,7 +220,7 @@ index prediction
|
|
220 |
218 1
|
221 |
219 1
|
222 |
220 1
|
223 |
-
221
|
224 |
222 1
|
225 |
223 1
|
226 |
224 0
|
@@ -234,11 +234,11 @@ index prediction
|
|
234 |
232 1
|
235 |
233 0
|
236 |
234 1
|
237 |
-
235
|
238 |
236 1
|
239 |
237 0
|
240 |
238 1
|
241 |
-
239
|
242 |
240 1
|
243 |
241 1
|
244 |
242 1
|
@@ -252,11 +252,11 @@ index prediction
|
|
252 |
250 1
|
253 |
251 1
|
254 |
252 1
|
255 |
-
253
|
256 |
-
254
|
257 |
255 1
|
258 |
256 1
|
259 |
-
257
|
260 |
258 1
|
261 |
259 1
|
262 |
260 1
|
@@ -273,7 +273,7 @@ index prediction
|
|
273 |
271 1
|
274 |
272 0
|
275 |
273 1
|
276 |
-
274
|
277 |
275 1
|
278 |
276 0
|
279 |
277 1
|
@@ -322,7 +322,7 @@ index prediction
|
|
322 |
320 0
|
323 |
321 0
|
324 |
322 0
|
325 |
-
323
|
326 |
324 1
|
327 |
325 0
|
328 |
326 0
|
@@ -367,7 +367,7 @@ index prediction
|
|
367 |
365 0
|
368 |
366 0
|
369 |
367 0
|
370 |
-
368
|
371 |
369 0
|
372 |
370 0
|
373 |
371 0
|
@@ -470,7 +470,7 @@ index prediction
|
|
470 |
468 0
|
471 |
469 0
|
472 |
470 0
|
473 |
-
471
|
474 |
472 0
|
475 |
473 0
|
476 |
474 0
|
@@ -479,7 +479,7 @@ index prediction
|
|
479 |
477 0
|
480 |
478 0
|
481 |
479 0
|
482 |
-
480
|
483 |
481 0
|
484 |
482 0
|
485 |
483 0
|
@@ -490,7 +490,7 @@ index prediction
|
|
490 |
488 0
|
491 |
489 0
|
492 |
490 0
|
493 |
-
491
|
494 |
492 0
|
495 |
493 0
|
496 |
494 0
|
@@ -535,7 +535,7 @@ index prediction
|
|
535 |
533 0
|
536 |
534 0
|
537 |
535 0
|
538 |
-
536
|
539 |
537 0
|
540 |
538 0
|
541 |
539 0
|
@@ -546,7 +546,7 @@ index prediction
|
|
546 |
544 0
|
547 |
545 0
|
548 |
546 0
|
549 |
-
547
|
550 |
548 0
|
551 |
549 0
|
552 |
550 0
|
@@ -587,7 +587,7 @@ index prediction
|
|
587 |
585 0
|
588 |
586 0
|
589 |
587 0
|
590 |
-
588
|
591 |
589 0
|
592 |
590 0
|
593 |
591 1
|
@@ -736,7 +736,7 @@ index prediction
|
|
736 |
734 1
|
737 |
735 0
|
738 |
736 0
|
739 |
-
737
|
740 |
738 0
|
741 |
739 0
|
742 |
740 0
|
@@ -783,7 +783,7 @@ index prediction
|
|
783 |
781 0
|
784 |
782 0
|
785 |
783 0
|
786 |
-
784
|
787 |
785 0
|
788 |
786 1
|
789 |
787 0
|
@@ -849,12 +849,12 @@ index prediction
|
|
849 |
847 0
|
850 |
848 0
|
851 |
849 0
|
852 |
-
850
|
853 |
851 1
|
854 |
852 0
|
855 |
853 0
|
856 |
854 1
|
857 |
-
855
|
858 |
856 0
|
859 |
857 0
|
860 |
858 0
|
@@ -981,7 +981,7 @@ index prediction
|
|
981 |
979 0
|
982 |
980 0
|
983 |
981 0
|
984 |
-
982
|
985 |
983 0
|
986 |
984 0
|
987 |
985 0
|
|
|
17 |
15 1
|
18 |
16 1
|
19 |
17 1
|
20 |
+
18 0
|
21 |
19 1
|
22 |
20 1
|
23 |
21 1
|
24 |
+
22 0
|
25 |
23 1
|
26 |
24 1
|
27 |
+
25 1
|
28 |
26 0
|
29 |
27 1
|
30 |
28 1
|
|
|
35 |
33 1
|
36 |
34 1
|
37 |
35 1
|
38 |
+
36 1
|
39 |
37 1
|
40 |
38 1
|
41 |
39 1
|
42 |
40 1
|
43 |
+
41 0
|
44 |
42 1
|
45 |
43 1
|
46 |
44 1
|
|
|
56 |
54 1
|
57 |
55 1
|
58 |
56 1
|
59 |
+
57 1
|
60 |
58 1
|
61 |
59 1
|
62 |
60 0
|
63 |
61 1
|
64 |
62 1
|
65 |
63 1
|
66 |
+
64 0
|
67 |
65 1
|
68 |
66 1
|
69 |
67 0
|
|
|
75 |
73 1
|
76 |
74 1
|
77 |
75 0
|
78 |
+
76 1
|
79 |
77 1
|
80 |
78 1
|
81 |
79 1
|
82 |
80 1
|
83 |
81 1
|
84 |
+
82 1
|
85 |
83 0
|
86 |
84 1
|
87 |
85 1
|
|
|
89 |
87 1
|
90 |
88 1
|
91 |
89 1
|
92 |
+
90 0
|
93 |
91 1
|
94 |
92 1
|
95 |
93 1
|
|
|
101 |
99 1
|
102 |
100 1
|
103 |
101 1
|
104 |
+
102 1
|
105 |
103 1
|
106 |
104 1
|
107 |
105 1
|
108 |
106 1
|
109 |
+
107 0
|
110 |
108 1
|
111 |
109 1
|
112 |
110 1
|
|
|
119 |
117 1
|
120 |
118 1
|
121 |
119 1
|
122 |
+
120 0
|
123 |
+
121 1
|
124 |
122 1
|
125 |
123 1
|
126 |
124 0
|
|
|
180 |
178 1
|
181 |
179 0
|
182 |
180 1
|
183 |
+
181 0
|
184 |
182 1
|
185 |
183 1
|
186 |
184 1
|
|
|
220 |
218 1
|
221 |
219 1
|
222 |
220 1
|
223 |
+
221 1
|
224 |
222 1
|
225 |
223 1
|
226 |
224 0
|
|
|
234 |
232 1
|
235 |
233 0
|
236 |
234 1
|
237 |
+
235 1
|
238 |
236 1
|
239 |
237 0
|
240 |
238 1
|
241 |
+
239 1
|
242 |
240 1
|
243 |
241 1
|
244 |
242 1
|
|
|
252 |
250 1
|
253 |
251 1
|
254 |
252 1
|
255 |
+
253 0
|
256 |
+
254 1
|
257 |
255 1
|
258 |
256 1
|
259 |
+
257 1
|
260 |
258 1
|
261 |
259 1
|
262 |
260 1
|
|
|
273 |
271 1
|
274 |
272 0
|
275 |
273 1
|
276 |
+
274 1
|
277 |
275 1
|
278 |
276 0
|
279 |
277 1
|
|
|
322 |
320 0
|
323 |
321 0
|
324 |
322 0
|
325 |
+
323 1
|
326 |
324 1
|
327 |
325 0
|
328 |
326 0
|
|
|
367 |
365 0
|
368 |
366 0
|
369 |
367 0
|
370 |
+
368 1
|
371 |
369 0
|
372 |
370 0
|
373 |
371 0
|
|
|
470 |
468 0
|
471 |
469 0
|
472 |
470 0
|
473 |
+
471 0
|
474 |
472 0
|
475 |
473 0
|
476 |
474 0
|
|
|
479 |
477 0
|
480 |
478 0
|
481 |
479 0
|
482 |
+
480 1
|
483 |
481 0
|
484 |
482 0
|
485 |
483 0
|
|
|
490 |
488 0
|
491 |
489 0
|
492 |
490 0
|
493 |
+
491 1
|
494 |
492 0
|
495 |
493 0
|
496 |
494 0
|
|
|
535 |
533 0
|
536 |
534 0
|
537 |
535 0
|
538 |
+
536 0
|
539 |
537 0
|
540 |
538 0
|
541 |
539 0
|
|
|
546 |
544 0
|
547 |
545 0
|
548 |
546 0
|
549 |
+
547 0
|
550 |
548 0
|
551 |
549 0
|
552 |
550 0
|
|
|
587 |
585 0
|
588 |
586 0
|
589 |
587 0
|
590 |
+
588 1
|
591 |
589 0
|
592 |
590 0
|
593 |
591 1
|
|
|
736 |
734 1
|
737 |
735 0
|
738 |
736 0
|
739 |
+
737 1
|
740 |
738 0
|
741 |
739 0
|
742 |
740 0
|
|
|
783 |
781 0
|
784 |
782 0
|
785 |
783 0
|
786 |
+
784 0
|
787 |
785 0
|
788 |
786 1
|
789 |
787 0
|
|
|
849 |
847 0
|
850 |
848 0
|
851 |
849 0
|
852 |
+
850 1
|
853 |
851 1
|
854 |
852 0
|
855 |
853 0
|
856 |
854 1
|
857 |
+
855 1
|
858 |
856 0
|
859 |
857 0
|
860 |
858 0
|
|
|
981 |
979 0
|
982 |
980 0
|
983 |
981 0
|
984 |
+
982 1
|
985 |
983 0
|
986 |
984 0
|
987 |
985 0
|
runs/Jun03_13-33-12_a358b85c7679/events.out.tfevents.1717422242.a358b85c7679.111292.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:76d26b13dd873ce32c43089413cbbbfb0aab64e95fb28a8008500efeef50415f
|
3 |
+
size 560
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 20.0,
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 3638,
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second":
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 20.0,
|
3 |
+
"train_loss": 0.24024685015443895,
|
4 |
+
"train_runtime": 634.5102,
|
5 |
"train_samples": 3638,
|
6 |
+
"train_samples_per_second": 114.671,
|
7 |
+
"train_steps_per_second": 3.845
|
8 |
}
|
trainer_state.json
CHANGED
@@ -10,392 +10,392 @@
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 1.0,
|
13 |
-
"grad_norm": 4.
|
14 |
"learning_rate": 4.75e-05,
|
15 |
-
"loss": 0.
|
16 |
"step": 122
|
17 |
},
|
18 |
{
|
19 |
"epoch": 1.0,
|
20 |
-
"eval_accuracy": 0.
|
21 |
-
"eval_f1": 0.
|
22 |
-
"eval_loss": 0.
|
23 |
-
"eval_precision": 0.
|
24 |
-
"eval_recall": 0.
|
25 |
-
"eval_runtime":
|
26 |
-
"eval_samples_per_second":
|
27 |
-
"eval_steps_per_second":
|
28 |
"step": 122
|
29 |
},
|
30 |
{
|
31 |
"epoch": 2.0,
|
32 |
-
"grad_norm": 3.
|
33 |
"learning_rate": 4.5e-05,
|
34 |
-
"loss": 0.
|
35 |
"step": 244
|
36 |
},
|
37 |
{
|
38 |
"epoch": 2.0,
|
39 |
-
"eval_accuracy": 0.
|
40 |
-
"eval_f1": 0.
|
41 |
-
"eval_loss": 0.
|
42 |
-
"eval_precision": 0.
|
43 |
-
"eval_recall": 0.
|
44 |
-
"eval_runtime":
|
45 |
-
"eval_samples_per_second":
|
46 |
-
"eval_steps_per_second":
|
47 |
"step": 244
|
48 |
},
|
49 |
{
|
50 |
"epoch": 3.0,
|
51 |
-
"grad_norm": 2.
|
52 |
"learning_rate": 4.25e-05,
|
53 |
-
"loss": 0.
|
54 |
"step": 366
|
55 |
},
|
56 |
{
|
57 |
"epoch": 3.0,
|
58 |
-
"eval_accuracy": 0.
|
59 |
-
"eval_f1": 0.
|
60 |
-
"eval_loss": 0.
|
61 |
-
"eval_precision": 0.
|
62 |
-
"eval_recall": 0.
|
63 |
-
"eval_runtime":
|
64 |
-
"eval_samples_per_second":
|
65 |
-
"eval_steps_per_second":
|
66 |
"step": 366
|
67 |
},
|
68 |
{
|
69 |
"epoch": 4.0,
|
70 |
-
"grad_norm":
|
71 |
"learning_rate": 4e-05,
|
72 |
-
"loss": 0.
|
73 |
"step": 488
|
74 |
},
|
75 |
{
|
76 |
"epoch": 4.0,
|
77 |
-
"eval_accuracy": 0.
|
78 |
-
"eval_f1": 0.
|
79 |
-
"eval_loss": 0.
|
80 |
-
"eval_precision": 0.
|
81 |
-
"eval_recall": 0.
|
82 |
-
"eval_runtime":
|
83 |
-
"eval_samples_per_second":
|
84 |
-
"eval_steps_per_second":
|
85 |
"step": 488
|
86 |
},
|
87 |
{
|
88 |
"epoch": 5.0,
|
89 |
-
"grad_norm": 3.
|
90 |
"learning_rate": 3.7500000000000003e-05,
|
91 |
"loss": 0.2812,
|
92 |
"step": 610
|
93 |
},
|
94 |
{
|
95 |
"epoch": 5.0,
|
96 |
-
"eval_accuracy": 0.
|
97 |
-
"eval_f1": 0.
|
98 |
-
"eval_loss": 0.
|
99 |
-
"eval_precision": 0.
|
100 |
-
"eval_recall": 0.
|
101 |
-
"eval_runtime":
|
102 |
-
"eval_samples_per_second":
|
103 |
-
"eval_steps_per_second":
|
104 |
"step": 610
|
105 |
},
|
106 |
{
|
107 |
"epoch": 6.0,
|
108 |
-
"grad_norm":
|
109 |
"learning_rate": 3.5e-05,
|
110 |
-
"loss": 0.
|
111 |
"step": 732
|
112 |
},
|
113 |
{
|
114 |
"epoch": 6.0,
|
115 |
-
"eval_accuracy": 0.
|
116 |
-
"eval_f1": 0.
|
117 |
-
"eval_loss": 0.
|
118 |
-
"eval_precision": 0.
|
119 |
-
"eval_recall": 0.
|
120 |
-
"eval_runtime":
|
121 |
-
"eval_samples_per_second":
|
122 |
-
"eval_steps_per_second":
|
123 |
"step": 732
|
124 |
},
|
125 |
{
|
126 |
"epoch": 7.0,
|
127 |
-
"grad_norm":
|
128 |
"learning_rate": 3.2500000000000004e-05,
|
129 |
-
"loss": 0.
|
130 |
"step": 854
|
131 |
},
|
132 |
{
|
133 |
"epoch": 7.0,
|
134 |
"eval_accuracy": 0.8771929824561403,
|
135 |
-
"eval_f1": 0.
|
136 |
-
"eval_loss": 0.
|
137 |
-
"eval_precision": 0.
|
138 |
-
"eval_recall": 0.
|
139 |
-
"eval_runtime":
|
140 |
-
"eval_samples_per_second":
|
141 |
-
"eval_steps_per_second":
|
142 |
"step": 854
|
143 |
},
|
144 |
{
|
145 |
"epoch": 8.0,
|
146 |
-
"grad_norm":
|
147 |
"learning_rate": 3e-05,
|
148 |
-
"loss": 0.
|
149 |
"step": 976
|
150 |
},
|
151 |
{
|
152 |
"epoch": 8.0,
|
153 |
-
"eval_accuracy": 0.
|
154 |
-
"eval_f1": 0.
|
155 |
-
"eval_loss": 0.
|
156 |
-
"eval_precision": 0.
|
157 |
-
"eval_recall": 0.
|
158 |
-
"eval_runtime":
|
159 |
-
"eval_samples_per_second":
|
160 |
-
"eval_steps_per_second":
|
161 |
"step": 976
|
162 |
},
|
163 |
{
|
164 |
"epoch": 9.0,
|
165 |
-
"grad_norm": 6.
|
166 |
"learning_rate": 2.7500000000000004e-05,
|
167 |
-
"loss": 0.
|
168 |
"step": 1098
|
169 |
},
|
170 |
{
|
171 |
"epoch": 9.0,
|
172 |
"eval_accuracy": 0.8696741854636592,
|
173 |
-
"eval_f1": 0.
|
174 |
-
"eval_loss": 0.
|
175 |
-
"eval_precision": 0.
|
176 |
-
"eval_recall": 0.
|
177 |
-
"eval_runtime":
|
178 |
-
"eval_samples_per_second":
|
179 |
-
"eval_steps_per_second":
|
180 |
"step": 1098
|
181 |
},
|
182 |
{
|
183 |
"epoch": 10.0,
|
184 |
-
"grad_norm":
|
185 |
"learning_rate": 2.5e-05,
|
186 |
-
"loss": 0.
|
187 |
"step": 1220
|
188 |
},
|
189 |
{
|
190 |
"epoch": 10.0,
|
191 |
-
"eval_accuracy": 0.
|
192 |
-
"eval_f1": 0.
|
193 |
-
"eval_loss": 0.
|
194 |
-
"eval_precision": 0.
|
195 |
-
"eval_recall": 0.
|
196 |
-
"eval_runtime":
|
197 |
-
"eval_samples_per_second":
|
198 |
-
"eval_steps_per_second":
|
199 |
"step": 1220
|
200 |
},
|
201 |
{
|
202 |
"epoch": 11.0,
|
203 |
-
"grad_norm": 0.
|
204 |
"learning_rate": 2.25e-05,
|
205 |
-
"loss": 0.
|
206 |
"step": 1342
|
207 |
},
|
208 |
{
|
209 |
"epoch": 11.0,
|
210 |
-
"eval_accuracy": 0.
|
211 |
-
"eval_f1": 0.
|
212 |
-
"eval_loss": 0.
|
213 |
-
"eval_precision": 0.
|
214 |
-
"eval_recall": 0.
|
215 |
-
"eval_runtime":
|
216 |
-
"eval_samples_per_second":
|
217 |
-
"eval_steps_per_second":
|
218 |
"step": 1342
|
219 |
},
|
220 |
{
|
221 |
"epoch": 12.0,
|
222 |
-
"grad_norm":
|
223 |
"learning_rate": 2e-05,
|
224 |
-
"loss": 0.
|
225 |
"step": 1464
|
226 |
},
|
227 |
{
|
228 |
"epoch": 12.0,
|
229 |
-
"eval_accuracy": 0.
|
230 |
-
"eval_f1": 0.
|
231 |
-
"eval_loss": 0.
|
232 |
-
"eval_precision": 0.
|
233 |
-
"eval_recall": 0.
|
234 |
-
"eval_runtime":
|
235 |
-
"eval_samples_per_second":
|
236 |
-
"eval_steps_per_second":
|
237 |
"step": 1464
|
238 |
},
|
239 |
{
|
240 |
"epoch": 13.0,
|
241 |
-
"grad_norm":
|
242 |
"learning_rate": 1.75e-05,
|
243 |
-
"loss": 0.
|
244 |
"step": 1586
|
245 |
},
|
246 |
{
|
247 |
"epoch": 13.0,
|
248 |
-
"eval_accuracy": 0.
|
249 |
-
"eval_f1": 0.
|
250 |
-
"eval_loss": 0.
|
251 |
-
"eval_precision": 0.
|
252 |
-
"eval_recall": 0.
|
253 |
-
"eval_runtime":
|
254 |
-
"eval_samples_per_second":
|
255 |
-
"eval_steps_per_second":
|
256 |
"step": 1586
|
257 |
},
|
258 |
{
|
259 |
"epoch": 14.0,
|
260 |
-
"grad_norm":
|
261 |
"learning_rate": 1.5e-05,
|
262 |
-
"loss": 0.
|
263 |
"step": 1708
|
264 |
},
|
265 |
{
|
266 |
"epoch": 14.0,
|
267 |
-
"eval_accuracy": 0.
|
268 |
-
"eval_f1": 0.
|
269 |
-
"eval_loss": 0.
|
270 |
-
"eval_precision": 0.
|
271 |
-
"eval_recall": 0.
|
272 |
-
"eval_runtime":
|
273 |
-
"eval_samples_per_second":
|
274 |
-
"eval_steps_per_second":
|
275 |
"step": 1708
|
276 |
},
|
277 |
{
|
278 |
"epoch": 15.0,
|
279 |
-
"grad_norm": 0.
|
280 |
"learning_rate": 1.25e-05,
|
281 |
-
"loss": 0.
|
282 |
"step": 1830
|
283 |
},
|
284 |
{
|
285 |
"epoch": 15.0,
|
286 |
-
"eval_accuracy": 0.
|
287 |
-
"eval_f1": 0.
|
288 |
-
"eval_loss": 0.
|
289 |
-
"eval_precision": 0.
|
290 |
-
"eval_recall": 0.
|
291 |
-
"eval_runtime":
|
292 |
-
"eval_samples_per_second":
|
293 |
-
"eval_steps_per_second":
|
294 |
"step": 1830
|
295 |
},
|
296 |
{
|
297 |
"epoch": 16.0,
|
298 |
-
"grad_norm": 0.
|
299 |
"learning_rate": 1e-05,
|
300 |
-
"loss": 0.
|
301 |
"step": 1952
|
302 |
},
|
303 |
{
|
304 |
"epoch": 16.0,
|
305 |
"eval_accuracy": 0.8822055137844611,
|
306 |
-
"eval_f1": 0.
|
307 |
-
"eval_loss": 0.
|
308 |
-
"eval_precision": 0.
|
309 |
-
"eval_recall": 0.
|
310 |
-
"eval_runtime":
|
311 |
-
"eval_samples_per_second":
|
312 |
-
"eval_steps_per_second":
|
313 |
"step": 1952
|
314 |
},
|
315 |
{
|
316 |
"epoch": 17.0,
|
317 |
-
"grad_norm":
|
318 |
"learning_rate": 7.5e-06,
|
319 |
-
"loss": 0.
|
320 |
"step": 2074
|
321 |
},
|
322 |
{
|
323 |
"epoch": 17.0,
|
324 |
-
"eval_accuracy": 0.
|
325 |
-
"eval_f1": 0.
|
326 |
-
"eval_loss": 0.
|
327 |
-
"eval_precision": 0.
|
328 |
-
"eval_recall": 0.
|
329 |
-
"eval_runtime":
|
330 |
-
"eval_samples_per_second":
|
331 |
-
"eval_steps_per_second":
|
332 |
"step": 2074
|
333 |
},
|
334 |
{
|
335 |
"epoch": 18.0,
|
336 |
-
"grad_norm": 4.
|
337 |
"learning_rate": 5e-06,
|
338 |
-
"loss": 0.
|
339 |
"step": 2196
|
340 |
},
|
341 |
{
|
342 |
"epoch": 18.0,
|
343 |
-
"eval_accuracy": 0.
|
344 |
-
"eval_f1": 0.
|
345 |
-
"eval_loss": 0.
|
346 |
-
"eval_precision": 0.
|
347 |
-
"eval_recall": 0.
|
348 |
-
"eval_runtime":
|
349 |
-
"eval_samples_per_second":
|
350 |
-
"eval_steps_per_second":
|
351 |
"step": 2196
|
352 |
},
|
353 |
{
|
354 |
"epoch": 19.0,
|
355 |
-
"grad_norm":
|
356 |
"learning_rate": 2.5e-06,
|
357 |
-
"loss": 0.
|
358 |
"step": 2318
|
359 |
},
|
360 |
{
|
361 |
"epoch": 19.0,
|
362 |
-
"eval_accuracy": 0.
|
363 |
-
"eval_f1": 0.
|
364 |
-
"eval_loss": 0.
|
365 |
-
"eval_precision": 0.
|
366 |
-
"eval_recall": 0.
|
367 |
-
"eval_runtime":
|
368 |
-
"eval_samples_per_second":
|
369 |
-
"eval_steps_per_second":
|
370 |
"step": 2318
|
371 |
},
|
372 |
{
|
373 |
"epoch": 20.0,
|
374 |
-
"grad_norm":
|
375 |
"learning_rate": 0.0,
|
376 |
-
"loss": 0.
|
377 |
"step": 2440
|
378 |
},
|
379 |
{
|
380 |
"epoch": 20.0,
|
381 |
-
"eval_accuracy": 0.
|
382 |
-
"eval_f1": 0.
|
383 |
-
"eval_loss": 0.
|
384 |
-
"eval_precision": 0.
|
385 |
-
"eval_recall": 0.
|
386 |
-
"eval_runtime":
|
387 |
-
"eval_samples_per_second":
|
388 |
-
"eval_steps_per_second":
|
389 |
"step": 2440
|
390 |
},
|
391 |
{
|
392 |
"epoch": 20.0,
|
393 |
"step": 2440,
|
394 |
"total_flos": 8444128359504000.0,
|
395 |
-
"train_loss": 0.
|
396 |
-
"train_runtime":
|
397 |
-
"train_samples_per_second":
|
398 |
-
"train_steps_per_second":
|
399 |
}
|
400 |
],
|
401 |
"logging_steps": 500,
|
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 1.0,
|
13 |
+
"grad_norm": 4.0522332191467285,
|
14 |
"learning_rate": 4.75e-05,
|
15 |
+
"loss": 0.5524,
|
16 |
"step": 122
|
17 |
},
|
18 |
{
|
19 |
"epoch": 1.0,
|
20 |
+
"eval_accuracy": 0.7167919799498746,
|
21 |
+
"eval_f1": 0.5962731806907421,
|
22 |
+
"eval_loss": 0.5142865777015686,
|
23 |
+
"eval_precision": 0.6417444029850746,
|
24 |
+
"eval_recall": 0.5921076559374432,
|
25 |
+
"eval_runtime": 1.7987,
|
26 |
+
"eval_samples_per_second": 221.826,
|
27 |
+
"eval_steps_per_second": 27.798,
|
28 |
"step": 122
|
29 |
},
|
30 |
{
|
31 |
"epoch": 2.0,
|
32 |
+
"grad_norm": 3.862292528152466,
|
33 |
"learning_rate": 4.5e-05,
|
34 |
+
"loss": 0.468,
|
35 |
"step": 244
|
36 |
},
|
37 |
{
|
38 |
"epoch": 2.0,
|
39 |
+
"eval_accuracy": 0.7919799498746867,
|
40 |
+
"eval_f1": 0.7577413479052824,
|
41 |
+
"eval_loss": 0.427168607711792,
|
42 |
+
"eval_precision": 0.7507235274089207,
|
43 |
+
"eval_recall": 0.7678214220767412,
|
44 |
+
"eval_runtime": 1.8042,
|
45 |
+
"eval_samples_per_second": 221.147,
|
46 |
+
"eval_steps_per_second": 27.713,
|
47 |
"step": 244
|
48 |
},
|
49 |
{
|
50 |
"epoch": 3.0,
|
51 |
+
"grad_norm": 2.0498220920562744,
|
52 |
"learning_rate": 4.25e-05,
|
53 |
+
"loss": 0.3759,
|
54 |
"step": 366
|
55 |
},
|
56 |
{
|
57 |
"epoch": 3.0,
|
58 |
+
"eval_accuracy": 0.8345864661654135,
|
59 |
+
"eval_f1": 0.7840625819994752,
|
60 |
+
"eval_loss": 0.3480204641819,
|
61 |
+
"eval_precision": 0.8174519753533889,
|
62 |
+
"eval_recall": 0.7654573558828878,
|
63 |
+
"eval_runtime": 1.8451,
|
64 |
+
"eval_samples_per_second": 216.245,
|
65 |
+
"eval_steps_per_second": 27.098,
|
66 |
"step": 366
|
67 |
},
|
68 |
{
|
69 |
"epoch": 4.0,
|
70 |
+
"grad_norm": 2.6740951538085938,
|
71 |
"learning_rate": 4e-05,
|
72 |
+
"loss": 0.3116,
|
73 |
"step": 488
|
74 |
},
|
75 |
{
|
76 |
"epoch": 4.0,
|
77 |
+
"eval_accuracy": 0.8646616541353384,
|
78 |
+
"eval_f1": 0.8315033783783784,
|
79 |
+
"eval_loss": 0.308014452457428,
|
80 |
+
"eval_precision": 0.8438775510204082,
|
81 |
+
"eval_recall": 0.8217403164211674,
|
82 |
+
"eval_runtime": 1.8424,
|
83 |
+
"eval_samples_per_second": 216.565,
|
84 |
+
"eval_steps_per_second": 27.138,
|
85 |
"step": 488
|
86 |
},
|
87 |
{
|
88 |
"epoch": 5.0,
|
89 |
+
"grad_norm": 3.3190958499908447,
|
90 |
"learning_rate": 3.7500000000000003e-05,
|
91 |
"loss": 0.2812,
|
92 |
"step": 610
|
93 |
},
|
94 |
{
|
95 |
"epoch": 5.0,
|
96 |
+
"eval_accuracy": 0.8696741854636592,
|
97 |
+
"eval_f1": 0.8368354828562441,
|
98 |
+
"eval_loss": 0.3000350892543793,
|
99 |
+
"eval_precision": 0.8520237470480189,
|
100 |
+
"eval_recall": 0.8252864157119476,
|
101 |
+
"eval_runtime": 1.8448,
|
102 |
+
"eval_samples_per_second": 216.28,
|
103 |
+
"eval_steps_per_second": 27.103,
|
104 |
"step": 610
|
105 |
},
|
106 |
{
|
107 |
"epoch": 6.0,
|
108 |
+
"grad_norm": 6.869318962097168,
|
109 |
"learning_rate": 3.5e-05,
|
110 |
+
"loss": 0.2692,
|
111 |
"step": 732
|
112 |
},
|
113 |
{
|
114 |
"epoch": 6.0,
|
115 |
+
"eval_accuracy": 0.8771929824561403,
|
116 |
+
"eval_f1": 0.8563451067988272,
|
117 |
+
"eval_loss": 0.2969658374786377,
|
118 |
+
"eval_precision": 0.8473119816985988,
|
119 |
+
"eval_recall": 0.8681123840698308,
|
120 |
+
"eval_runtime": 1.8412,
|
121 |
+
"eval_samples_per_second": 216.704,
|
122 |
+
"eval_steps_per_second": 27.156,
|
123 |
"step": 732
|
124 |
},
|
125 |
{
|
126 |
"epoch": 7.0,
|
127 |
+
"grad_norm": 2.0313923358917236,
|
128 |
"learning_rate": 3.2500000000000004e-05,
|
129 |
+
"loss": 0.2603,
|
130 |
"step": 854
|
131 |
},
|
132 |
{
|
133 |
"epoch": 7.0,
|
134 |
"eval_accuracy": 0.8771929824561403,
|
135 |
+
"eval_f1": 0.8543546116197471,
|
136 |
+
"eval_loss": 0.29286739230155945,
|
137 |
+
"eval_precision": 0.8489149560117302,
|
138 |
+
"eval_recall": 0.8606110201854882,
|
139 |
+
"eval_runtime": 1.8427,
|
140 |
+
"eval_samples_per_second": 216.531,
|
141 |
+
"eval_steps_per_second": 27.134,
|
142 |
"step": 854
|
143 |
},
|
144 |
{
|
145 |
"epoch": 8.0,
|
146 |
+
"grad_norm": 2.5121915340423584,
|
147 |
"learning_rate": 3e-05,
|
148 |
+
"loss": 0.231,
|
149 |
"step": 976
|
150 |
},
|
151 |
{
|
152 |
"epoch": 8.0,
|
153 |
+
"eval_accuracy": 0.8596491228070176,
|
154 |
+
"eval_f1": 0.819047619047619,
|
155 |
+
"eval_loss": 0.3082924783229828,
|
156 |
+
"eval_precision": 0.848619017499473,
|
157 |
+
"eval_recall": 0.8006910347335879,
|
158 |
+
"eval_runtime": 1.8502,
|
159 |
+
"eval_samples_per_second": 215.65,
|
160 |
+
"eval_steps_per_second": 27.024,
|
161 |
"step": 976
|
162 |
},
|
163 |
{
|
164 |
"epoch": 9.0,
|
165 |
+
"grad_norm": 6.5755615234375,
|
166 |
"learning_rate": 2.7500000000000004e-05,
|
167 |
+
"loss": 0.2278,
|
168 |
"step": 1098
|
169 |
},
|
170 |
{
|
171 |
"epoch": 9.0,
|
172 |
"eval_accuracy": 0.8696741854636592,
|
173 |
+
"eval_f1": 0.842789598108747,
|
174 |
+
"eval_loss": 0.29386115074157715,
|
175 |
+
"eval_precision": 0.842789598108747,
|
176 |
+
"eval_recall": 0.842789598108747,
|
177 |
+
"eval_runtime": 1.8446,
|
178 |
+
"eval_samples_per_second": 216.311,
|
179 |
+
"eval_steps_per_second": 27.107,
|
180 |
"step": 1098
|
181 |
},
|
182 |
{
|
183 |
"epoch": 10.0,
|
184 |
+
"grad_norm": 2.957425117492676,
|
185 |
"learning_rate": 2.5e-05,
|
186 |
+
"loss": 0.2117,
|
187 |
"step": 1220
|
188 |
},
|
189 |
{
|
190 |
"epoch": 10.0,
|
191 |
+
"eval_accuracy": 0.87468671679198,
|
192 |
+
"eval_f1": 0.8403693509153758,
|
193 |
+
"eval_loss": 0.32400935888290405,
|
194 |
+
"eval_precision": 0.8647333925035843,
|
195 |
+
"eval_recall": 0.8238316057464994,
|
196 |
+
"eval_runtime": 1.8502,
|
197 |
+
"eval_samples_per_second": 215.651,
|
198 |
+
"eval_steps_per_second": 27.024,
|
199 |
"step": 1220
|
200 |
},
|
201 |
{
|
202 |
"epoch": 11.0,
|
203 |
+
"grad_norm": 0.6018930673599243,
|
204 |
"learning_rate": 2.25e-05,
|
205 |
+
"loss": 0.2014,
|
206 |
"step": 1342
|
207 |
},
|
208 |
{
|
209 |
"epoch": 11.0,
|
210 |
+
"eval_accuracy": 0.8796992481203008,
|
211 |
+
"eval_f1": 0.8533986527862829,
|
212 |
+
"eval_loss": 0.2902269959449768,
|
213 |
+
"eval_precision": 0.8572003218020917,
|
214 |
+
"eval_recall": 0.8498817966903074,
|
215 |
+
"eval_runtime": 1.8555,
|
216 |
+
"eval_samples_per_second": 215.034,
|
217 |
+
"eval_steps_per_second": 26.947,
|
218 |
"step": 1342
|
219 |
},
|
220 |
{
|
221 |
"epoch": 12.0,
|
222 |
+
"grad_norm": 5.241063594818115,
|
223 |
"learning_rate": 2e-05,
|
224 |
+
"loss": 0.1869,
|
225 |
"step": 1464
|
226 |
},
|
227 |
{
|
228 |
"epoch": 12.0,
|
229 |
+
"eval_accuracy": 0.8947368421052632,
|
230 |
+
"eval_f1": 0.8748655913978494,
|
231 |
+
"eval_loss": 0.27595847845077515,
|
232 |
+
"eval_precision": 0.86983032873807,
|
233 |
+
"eval_recall": 0.8805237315875614,
|
234 |
+
"eval_runtime": 1.849,
|
235 |
+
"eval_samples_per_second": 215.789,
|
236 |
+
"eval_steps_per_second": 27.041,
|
237 |
"step": 1464
|
238 |
},
|
239 |
{
|
240 |
"epoch": 13.0,
|
241 |
+
"grad_norm": 1.832000970840454,
|
242 |
"learning_rate": 1.75e-05,
|
243 |
+
"loss": 0.1685,
|
244 |
"step": 1586
|
245 |
},
|
246 |
{
|
247 |
"epoch": 13.0,
|
248 |
+
"eval_accuracy": 0.8822055137844611,
|
249 |
+
"eval_f1": 0.8560793854229822,
|
250 |
+
"eval_loss": 0.3015528619289398,
|
251 |
+
"eval_precision": 0.8609538327526132,
|
252 |
+
"eval_recall": 0.8516548463356974,
|
253 |
+
"eval_runtime": 1.8472,
|
254 |
+
"eval_samples_per_second": 216.004,
|
255 |
+
"eval_steps_per_second": 27.068,
|
256 |
"step": 1586
|
257 |
},
|
258 |
{
|
259 |
"epoch": 14.0,
|
260 |
+
"grad_norm": 4.6754584312438965,
|
261 |
"learning_rate": 1.5e-05,
|
262 |
+
"loss": 0.1703,
|
263 |
"step": 1708
|
264 |
},
|
265 |
{
|
266 |
"epoch": 14.0,
|
267 |
+
"eval_accuracy": 0.8897243107769424,
|
268 |
+
"eval_f1": 0.8695225637671682,
|
269 |
+
"eval_loss": 0.30271315574645996,
|
270 |
+
"eval_precision": 0.8631532846715328,
|
271 |
+
"eval_recall": 0.8769776322967813,
|
272 |
+
"eval_runtime": 1.8487,
|
273 |
+
"eval_samples_per_second": 215.823,
|
274 |
+
"eval_steps_per_second": 27.045,
|
275 |
"step": 1708
|
276 |
},
|
277 |
{
|
278 |
"epoch": 15.0,
|
279 |
+
"grad_norm": 0.3340052366256714,
|
280 |
"learning_rate": 1.25e-05,
|
281 |
+
"loss": 0.1617,
|
282 |
"step": 1830
|
283 |
},
|
284 |
{
|
285 |
"epoch": 15.0,
|
286 |
+
"eval_accuracy": 0.8897243107769424,
|
287 |
+
"eval_f1": 0.8695225637671682,
|
288 |
+
"eval_loss": 0.30203503370285034,
|
289 |
+
"eval_precision": 0.8631532846715328,
|
290 |
+
"eval_recall": 0.8769776322967813,
|
291 |
+
"eval_runtime": 1.8491,
|
292 |
+
"eval_samples_per_second": 215.78,
|
293 |
+
"eval_steps_per_second": 27.04,
|
294 |
"step": 1830
|
295 |
},
|
296 |
{
|
297 |
"epoch": 16.0,
|
298 |
+
"grad_norm": 0.8184535503387451,
|
299 |
"learning_rate": 1e-05,
|
300 |
+
"loss": 0.1524,
|
301 |
"step": 1952
|
302 |
},
|
303 |
{
|
304 |
"epoch": 16.0,
|
305 |
"eval_accuracy": 0.8822055137844611,
|
306 |
+
"eval_f1": 0.8622085718274466,
|
307 |
+
"eval_loss": 0.31774768233299255,
|
308 |
+
"eval_precision": 0.8530168716042322,
|
309 |
+
"eval_recall": 0.8741589379887251,
|
310 |
+
"eval_runtime": 1.8434,
|
311 |
+
"eval_samples_per_second": 216.442,
|
312 |
+
"eval_steps_per_second": 27.123,
|
313 |
"step": 1952
|
314 |
},
|
315 |
{
|
316 |
"epoch": 17.0,
|
317 |
+
"grad_norm": 1.1876635551452637,
|
318 |
"learning_rate": 7.5e-06,
|
319 |
+
"loss": 0.1356,
|
320 |
"step": 2074
|
321 |
},
|
322 |
{
|
323 |
"epoch": 17.0,
|
324 |
+
"eval_accuracy": 0.8897243107769424,
|
325 |
+
"eval_f1": 0.8682773109243698,
|
326 |
+
"eval_loss": 0.3291165828704834,
|
327 |
+
"eval_precision": 0.864855223259409,
|
328 |
+
"eval_recall": 0.8719767230405528,
|
329 |
+
"eval_runtime": 1.8462,
|
330 |
+
"eval_samples_per_second": 216.117,
|
331 |
+
"eval_steps_per_second": 27.082,
|
332 |
"step": 2074
|
333 |
},
|
334 |
{
|
335 |
"epoch": 18.0,
|
336 |
+
"grad_norm": 4.472387313842773,
|
337 |
"learning_rate": 5e-06,
|
338 |
+
"loss": 0.1474,
|
339 |
"step": 2196
|
340 |
},
|
341 |
{
|
342 |
"epoch": 18.0,
|
343 |
+
"eval_accuracy": 0.8897243107769424,
|
344 |
+
"eval_f1": 0.8682773109243698,
|
345 |
+
"eval_loss": 0.3268108665943146,
|
346 |
+
"eval_precision": 0.864855223259409,
|
347 |
+
"eval_recall": 0.8719767230405528,
|
348 |
+
"eval_runtime": 1.8536,
|
349 |
+
"eval_samples_per_second": 215.257,
|
350 |
+
"eval_steps_per_second": 26.975,
|
351 |
"step": 2196
|
352 |
},
|
353 |
{
|
354 |
"epoch": 19.0,
|
355 |
+
"grad_norm": 6.7281928062438965,
|
356 |
"learning_rate": 2.5e-06,
|
357 |
+
"loss": 0.145,
|
358 |
"step": 2318
|
359 |
},
|
360 |
{
|
361 |
"epoch": 19.0,
|
362 |
+
"eval_accuracy": 0.8872180451127819,
|
363 |
+
"eval_f1": 0.8656072933585827,
|
364 |
+
"eval_loss": 0.3314986526966095,
|
365 |
+
"eval_precision": 0.8614399005740664,
|
366 |
+
"eval_recall": 0.8702036733951628,
|
367 |
+
"eval_runtime": 1.8468,
|
368 |
+
"eval_samples_per_second": 216.052,
|
369 |
+
"eval_steps_per_second": 27.074,
|
370 |
"step": 2318
|
371 |
},
|
372 |
{
|
373 |
"epoch": 20.0,
|
374 |
+
"grad_norm": 1.0261917114257812,
|
375 |
"learning_rate": 0.0,
|
376 |
+
"loss": 0.1466,
|
377 |
"step": 2440
|
378 |
},
|
379 |
{
|
380 |
"epoch": 20.0,
|
381 |
+
"eval_accuracy": 0.8872180451127819,
|
382 |
+
"eval_f1": 0.8649563392675828,
|
383 |
+
"eval_loss": 0.32958927750587463,
|
384 |
+
"eval_precision": 0.8623655913978494,
|
385 |
+
"eval_recall": 0.8677032187670486,
|
386 |
+
"eval_runtime": 1.8152,
|
387 |
+
"eval_samples_per_second": 219.809,
|
388 |
+
"eval_steps_per_second": 27.545,
|
389 |
"step": 2440
|
390 |
},
|
391 |
{
|
392 |
"epoch": 20.0,
|
393 |
"step": 2440,
|
394 |
"total_flos": 8444128359504000.0,
|
395 |
+
"train_loss": 0.24024685015443895,
|
396 |
+
"train_runtime": 634.5102,
|
397 |
+
"train_samples_per_second": 114.671,
|
398 |
+
"train_steps_per_second": 3.845
|
399 |
}
|
400 |
],
|
401 |
"logging_steps": 500,
|