Theoreticallyhugo
commited on
Commit
•
e1080b1
1
Parent(s):
6e2aae3
Training in progress, epoch 40, checkpoint
Browse files- checkpoint-3240/model.safetensors +1 -1
- checkpoint-3240/optimizer.pt +1 -1
- checkpoint-3240/rng_state.pth +1 -1
- checkpoint-3240/trainer_state.json +1053 -1053
- checkpoint-3240/training_args.bin +1 -1
checkpoint-3240/model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 592318676
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d904a40e8bf2435609ca0452c3e99c5835ec68eb87254e43cc838f8334784402
|
3 |
size 592318676
|
checkpoint-3240/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1014645498
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:df5dcde98dba2b05409426a76c56bb8c9d465ef0f34115afbf6be64255512232
|
3 |
size 1014645498
|
checkpoint-3240/rng_state.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 14244
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a8c5c99c3bad1ce3feb0cbd346df74269719c44b16be7c0f6afdd1817489144f
|
3 |
size 14244
|
checkpoint-3240/trainer_state.json
CHANGED
@@ -11,1602 +11,1602 @@
|
|
11 |
{
|
12 |
"epoch": 1.0,
|
13 |
"eval_B": {
|
14 |
-
"f1-score": 0.
|
15 |
-
"precision": 0.
|
16 |
-
"recall": 0.
|
17 |
-
"support":
|
18 |
},
|
19 |
"eval_I": {
|
20 |
-
"f1-score": 0.
|
21 |
-
"precision": 0.
|
22 |
-
"recall": 0.
|
23 |
-
"support":
|
24 |
},
|
25 |
"eval_O": {
|
26 |
-
"f1-score": 0.
|
27 |
-
"precision": 0.
|
28 |
-
"recall": 0.
|
29 |
-
"support":
|
30 |
},
|
31 |
-
"eval_accuracy": 0.
|
32 |
-
"eval_loss": 0.
|
33 |
"eval_macro avg": {
|
34 |
-
"f1-score": 0.
|
35 |
-
"precision": 0.
|
36 |
-
"recall": 0.
|
37 |
-
"support":
|
38 |
-
},
|
39 |
-
"eval_runtime": 4.
|
40 |
-
"eval_samples_per_second": 17.
|
41 |
-
"eval_steps_per_second": 2.
|
42 |
"eval_weighted avg": {
|
43 |
-
"f1-score": 0.
|
44 |
-
"precision": 0.
|
45 |
-
"recall": 0.
|
46 |
-
"support":
|
47 |
},
|
48 |
"step": 81
|
49 |
},
|
50 |
{
|
51 |
"epoch": 2.0,
|
52 |
"eval_B": {
|
53 |
-
"f1-score": 0.
|
54 |
-
"precision": 0.
|
55 |
-
"recall": 0.
|
56 |
-
"support":
|
57 |
},
|
58 |
"eval_I": {
|
59 |
-
"f1-score": 0.
|
60 |
-
"precision": 0.
|
61 |
-
"recall": 0.
|
62 |
-
"support":
|
63 |
},
|
64 |
"eval_O": {
|
65 |
-
"f1-score": 0.
|
66 |
-
"precision": 0.
|
67 |
-
"recall": 0.
|
68 |
-
"support":
|
69 |
},
|
70 |
-
"eval_accuracy": 0.
|
71 |
-
"eval_loss": 0.
|
72 |
"eval_macro avg": {
|
73 |
-
"f1-score": 0.
|
74 |
-
"precision": 0.
|
75 |
-
"recall": 0.
|
76 |
-
"support":
|
77 |
-
},
|
78 |
-
"eval_runtime": 4.
|
79 |
-
"eval_samples_per_second": 17.
|
80 |
-
"eval_steps_per_second": 2.
|
81 |
"eval_weighted avg": {
|
82 |
-
"f1-score": 0.
|
83 |
-
"precision": 0.
|
84 |
-
"recall": 0.
|
85 |
-
"support":
|
86 |
},
|
87 |
"step": 162
|
88 |
},
|
89 |
{
|
90 |
"epoch": 3.0,
|
91 |
"eval_B": {
|
92 |
-
"f1-score": 0.
|
93 |
-
"precision": 0.
|
94 |
-
"recall": 0.
|
95 |
-
"support":
|
96 |
},
|
97 |
"eval_I": {
|
98 |
-
"f1-score": 0.
|
99 |
-
"precision": 0.
|
100 |
-
"recall": 0.
|
101 |
-
"support":
|
102 |
},
|
103 |
"eval_O": {
|
104 |
-
"f1-score": 0.
|
105 |
-
"precision": 0.
|
106 |
-
"recall": 0.
|
107 |
-
"support":
|
108 |
},
|
109 |
-
"eval_accuracy": 0.
|
110 |
-
"eval_loss": 0.
|
111 |
"eval_macro avg": {
|
112 |
-
"f1-score": 0.
|
113 |
-
"precision": 0.
|
114 |
-
"recall": 0.
|
115 |
-
"support":
|
116 |
-
},
|
117 |
-
"eval_runtime": 4.
|
118 |
-
"eval_samples_per_second": 17.
|
119 |
-
"eval_steps_per_second": 2.
|
120 |
"eval_weighted avg": {
|
121 |
-
"f1-score": 0.
|
122 |
-
"precision": 0.
|
123 |
-
"recall": 0.
|
124 |
-
"support":
|
125 |
},
|
126 |
"step": 243
|
127 |
},
|
128 |
{
|
129 |
"epoch": 4.0,
|
130 |
"eval_B": {
|
131 |
-
"f1-score": 0.
|
132 |
-
"precision": 0.
|
133 |
-
"recall": 0.
|
134 |
-
"support":
|
135 |
},
|
136 |
"eval_I": {
|
137 |
-
"f1-score": 0.
|
138 |
-
"precision": 0.
|
139 |
-
"recall": 0.
|
140 |
-
"support":
|
141 |
},
|
142 |
"eval_O": {
|
143 |
-
"f1-score": 0.
|
144 |
-
"precision": 0.
|
145 |
-
"recall": 0.
|
146 |
-
"support":
|
147 |
},
|
148 |
-
"eval_accuracy": 0.
|
149 |
-
"eval_loss": 0.
|
150 |
"eval_macro avg": {
|
151 |
-
"f1-score": 0.
|
152 |
-
"precision": 0.
|
153 |
-
"recall": 0.
|
154 |
-
"support":
|
155 |
-
},
|
156 |
-
"eval_runtime": 4.
|
157 |
-
"eval_samples_per_second": 17.
|
158 |
-
"eval_steps_per_second": 2.
|
159 |
"eval_weighted avg": {
|
160 |
-
"f1-score": 0.
|
161 |
-
"precision": 0.
|
162 |
-
"recall": 0.
|
163 |
-
"support":
|
164 |
},
|
165 |
"step": 324
|
166 |
},
|
167 |
{
|
168 |
"epoch": 5.0,
|
169 |
"eval_B": {
|
170 |
-
"f1-score": 0.
|
171 |
-
"precision": 0.
|
172 |
-
"recall": 0.
|
173 |
-
"support":
|
174 |
},
|
175 |
"eval_I": {
|
176 |
-
"f1-score": 0.
|
177 |
-
"precision": 0.
|
178 |
-
"recall": 0.
|
179 |
-
"support":
|
180 |
},
|
181 |
"eval_O": {
|
182 |
-
"f1-score": 0.
|
183 |
-
"precision": 0.
|
184 |
-
"recall": 0.
|
185 |
-
"support":
|
186 |
},
|
187 |
-
"eval_accuracy": 0.
|
188 |
-
"eval_loss": 0.
|
189 |
"eval_macro avg": {
|
190 |
-
"f1-score": 0.
|
191 |
-
"precision": 0.
|
192 |
-
"recall": 0.
|
193 |
-
"support":
|
194 |
-
},
|
195 |
-
"eval_runtime": 4.
|
196 |
-
"eval_samples_per_second":
|
197 |
-
"eval_steps_per_second": 2.
|
198 |
"eval_weighted avg": {
|
199 |
-
"f1-score": 0.
|
200 |
-
"precision": 0.
|
201 |
-
"recall": 0.
|
202 |
-
"support":
|
203 |
},
|
204 |
"step": 405
|
205 |
},
|
206 |
{
|
207 |
"epoch": 6.0,
|
208 |
"eval_B": {
|
209 |
-
"f1-score": 0.
|
210 |
-
"precision": 0.
|
211 |
-
"recall": 0.
|
212 |
-
"support":
|
213 |
},
|
214 |
"eval_I": {
|
215 |
-
"f1-score": 0.
|
216 |
-
"precision": 0.
|
217 |
-
"recall": 0.
|
218 |
-
"support":
|
219 |
},
|
220 |
"eval_O": {
|
221 |
-
"f1-score": 0.
|
222 |
-
"precision": 0.
|
223 |
-
"recall": 0.
|
224 |
-
"support":
|
225 |
},
|
226 |
-
"eval_accuracy": 0.
|
227 |
-
"eval_loss": 0.
|
228 |
"eval_macro avg": {
|
229 |
-
"f1-score": 0.
|
230 |
-
"precision": 0.
|
231 |
-
"recall": 0.
|
232 |
-
"support":
|
233 |
-
},
|
234 |
-
"eval_runtime": 4.
|
235 |
-
"eval_samples_per_second":
|
236 |
-
"eval_steps_per_second": 2.
|
237 |
"eval_weighted avg": {
|
238 |
-
"f1-score": 0.
|
239 |
-
"precision": 0.
|
240 |
-
"recall": 0.
|
241 |
-
"support":
|
242 |
},
|
243 |
"step": 486
|
244 |
},
|
245 |
{
|
246 |
"epoch": 6.17,
|
247 |
-
"grad_norm":
|
248 |
"learning_rate": 1.7530864197530865e-05,
|
249 |
-
"loss": 0.
|
250 |
"step": 500
|
251 |
},
|
252 |
{
|
253 |
"epoch": 7.0,
|
254 |
"eval_B": {
|
255 |
-
"f1-score": 0.
|
256 |
-
"precision": 0.
|
257 |
-
"recall": 0.
|
258 |
-
"support":
|
259 |
},
|
260 |
"eval_I": {
|
261 |
-
"f1-score": 0.
|
262 |
-
"precision": 0.
|
263 |
-
"recall": 0.
|
264 |
-
"support":
|
265 |
},
|
266 |
"eval_O": {
|
267 |
-
"f1-score": 0.
|
268 |
-
"precision": 0.
|
269 |
-
"recall": 0.
|
270 |
-
"support":
|
271 |
},
|
272 |
-
"eval_accuracy": 0.
|
273 |
-
"eval_loss": 0.
|
274 |
"eval_macro avg": {
|
275 |
-
"f1-score": 0.
|
276 |
-
"precision": 0.
|
277 |
-
"recall": 0.
|
278 |
-
"support":
|
279 |
-
},
|
280 |
-
"eval_runtime": 4.
|
281 |
-
"eval_samples_per_second":
|
282 |
-
"eval_steps_per_second": 2.
|
283 |
"eval_weighted avg": {
|
284 |
-
"f1-score": 0.
|
285 |
-
"precision": 0.
|
286 |
-
"recall": 0.
|
287 |
-
"support":
|
288 |
},
|
289 |
"step": 567
|
290 |
},
|
291 |
{
|
292 |
"epoch": 8.0,
|
293 |
"eval_B": {
|
294 |
-
"f1-score": 0.
|
295 |
-
"precision": 0.
|
296 |
-
"recall": 0.
|
297 |
-
"support":
|
298 |
},
|
299 |
"eval_I": {
|
300 |
-
"f1-score": 0.
|
301 |
-
"precision": 0.
|
302 |
-
"recall": 0.
|
303 |
-
"support":
|
304 |
},
|
305 |
"eval_O": {
|
306 |
-
"f1-score": 0.
|
307 |
-
"precision": 0.
|
308 |
-
"recall": 0.
|
309 |
-
"support":
|
310 |
},
|
311 |
-
"eval_accuracy": 0.
|
312 |
-
"eval_loss": 0.
|
313 |
"eval_macro avg": {
|
314 |
-
"f1-score": 0.
|
315 |
-
"precision": 0.
|
316 |
-
"recall": 0.
|
317 |
-
"support":
|
318 |
-
},
|
319 |
-
"eval_runtime": 4.
|
320 |
-
"eval_samples_per_second":
|
321 |
-
"eval_steps_per_second": 2.
|
322 |
"eval_weighted avg": {
|
323 |
-
"f1-score": 0.
|
324 |
-
"precision": 0.
|
325 |
-
"recall": 0.
|
326 |
-
"support":
|
327 |
},
|
328 |
"step": 648
|
329 |
},
|
330 |
{
|
331 |
"epoch": 9.0,
|
332 |
"eval_B": {
|
333 |
-
"f1-score": 0.
|
334 |
-
"precision": 0.
|
335 |
-
"recall": 0.
|
336 |
-
"support":
|
337 |
},
|
338 |
"eval_I": {
|
339 |
-
"f1-score": 0.
|
340 |
-
"precision": 0.
|
341 |
-
"recall": 0.
|
342 |
-
"support":
|
343 |
},
|
344 |
"eval_O": {
|
345 |
-
"f1-score": 0.
|
346 |
-
"precision": 0.
|
347 |
-
"recall": 0.
|
348 |
-
"support":
|
349 |
},
|
350 |
-
"eval_accuracy": 0.
|
351 |
-
"eval_loss": 0.
|
352 |
"eval_macro avg": {
|
353 |
-
"f1-score": 0.
|
354 |
-
"precision": 0.
|
355 |
-
"recall": 0.
|
356 |
-
"support":
|
357 |
-
},
|
358 |
-
"eval_runtime": 4.
|
359 |
-
"eval_samples_per_second": 17.
|
360 |
-
"eval_steps_per_second": 2.
|
361 |
"eval_weighted avg": {
|
362 |
-
"f1-score": 0.
|
363 |
-
"precision": 0.
|
364 |
-
"recall": 0.
|
365 |
-
"support":
|
366 |
},
|
367 |
"step": 729
|
368 |
},
|
369 |
{
|
370 |
"epoch": 10.0,
|
371 |
"eval_B": {
|
372 |
-
"f1-score": 0.
|
373 |
-
"precision": 0.
|
374 |
-
"recall": 0.
|
375 |
-
"support":
|
376 |
},
|
377 |
"eval_I": {
|
378 |
-
"f1-score": 0.
|
379 |
-
"precision": 0.
|
380 |
-
"recall": 0.
|
381 |
-
"support":
|
382 |
},
|
383 |
"eval_O": {
|
384 |
-
"f1-score": 0.
|
385 |
-
"precision": 0.
|
386 |
-
"recall": 0.
|
387 |
-
"support":
|
388 |
},
|
389 |
-
"eval_accuracy": 0.
|
390 |
-
"eval_loss": 0.
|
391 |
"eval_macro avg": {
|
392 |
-
"f1-score": 0.
|
393 |
-
"precision": 0.
|
394 |
-
"recall": 0.
|
395 |
-
"support":
|
396 |
-
},
|
397 |
-
"eval_runtime": 4.
|
398 |
-
"eval_samples_per_second": 17.
|
399 |
-
"eval_steps_per_second": 2.
|
400 |
"eval_weighted avg": {
|
401 |
-
"f1-score": 0.
|
402 |
-
"precision": 0.
|
403 |
-
"recall": 0.
|
404 |
-
"support":
|
405 |
},
|
406 |
"step": 810
|
407 |
},
|
408 |
{
|
409 |
"epoch": 11.0,
|
410 |
"eval_B": {
|
411 |
-
"f1-score": 0.
|
412 |
-
"precision": 0.
|
413 |
-
"recall": 0.
|
414 |
-
"support":
|
415 |
},
|
416 |
"eval_I": {
|
417 |
-
"f1-score": 0.
|
418 |
-
"precision": 0.
|
419 |
-
"recall": 0.
|
420 |
-
"support":
|
421 |
},
|
422 |
"eval_O": {
|
423 |
-
"f1-score": 0.
|
424 |
-
"precision": 0.
|
425 |
-
"recall": 0.
|
426 |
-
"support":
|
427 |
},
|
428 |
-
"eval_accuracy": 0.
|
429 |
-
"eval_loss": 0.
|
430 |
"eval_macro avg": {
|
431 |
-
"f1-score": 0.
|
432 |
-
"precision": 0.
|
433 |
-
"recall": 0.
|
434 |
-
"support":
|
435 |
-
},
|
436 |
-
"eval_runtime": 4.
|
437 |
-
"eval_samples_per_second": 17.
|
438 |
-
"eval_steps_per_second": 2.
|
439 |
"eval_weighted avg": {
|
440 |
-
"f1-score": 0.
|
441 |
-
"precision": 0.
|
442 |
-
"recall": 0.
|
443 |
-
"support":
|
444 |
},
|
445 |
"step": 891
|
446 |
},
|
447 |
{
|
448 |
"epoch": 12.0,
|
449 |
"eval_B": {
|
450 |
-
"f1-score": 0.
|
451 |
-
"precision": 0.
|
452 |
-
"recall": 0.
|
453 |
-
"support":
|
454 |
},
|
455 |
"eval_I": {
|
456 |
-
"f1-score": 0.
|
457 |
-
"precision": 0.
|
458 |
-
"recall": 0.
|
459 |
-
"support":
|
460 |
},
|
461 |
"eval_O": {
|
462 |
-
"f1-score": 0.
|
463 |
-
"precision": 0.
|
464 |
-
"recall": 0.
|
465 |
-
"support":
|
466 |
},
|
467 |
-
"eval_accuracy": 0.
|
468 |
-
"eval_loss": 0.
|
469 |
"eval_macro avg": {
|
470 |
-
"f1-score": 0.
|
471 |
-
"precision": 0.
|
472 |
-
"recall": 0.
|
473 |
-
"support":
|
474 |
-
},
|
475 |
-
"eval_runtime": 4.
|
476 |
-
"eval_samples_per_second": 17.
|
477 |
-
"eval_steps_per_second": 2.
|
478 |
"eval_weighted avg": {
|
479 |
-
"f1-score": 0.
|
480 |
-
"precision": 0.
|
481 |
-
"recall": 0.
|
482 |
-
"support":
|
483 |
},
|
484 |
"step": 972
|
485 |
},
|
486 |
{
|
487 |
"epoch": 12.35,
|
488 |
-
"grad_norm": 0.
|
489 |
"learning_rate": 1.506172839506173e-05,
|
490 |
-
"loss": 0.
|
491 |
"step": 1000
|
492 |
},
|
493 |
{
|
494 |
"epoch": 13.0,
|
495 |
"eval_B": {
|
496 |
-
"f1-score": 0.
|
497 |
-
"precision": 0.
|
498 |
-
"recall": 0.
|
499 |
-
"support":
|
500 |
},
|
501 |
"eval_I": {
|
502 |
-
"f1-score": 0.
|
503 |
-
"precision": 0.
|
504 |
-
"recall": 0.
|
505 |
-
"support":
|
506 |
},
|
507 |
"eval_O": {
|
508 |
-
"f1-score": 0.
|
509 |
-
"precision": 0.
|
510 |
-
"recall": 0.
|
511 |
-
"support":
|
512 |
},
|
513 |
-
"eval_accuracy": 0.
|
514 |
-
"eval_loss": 0.
|
515 |
"eval_macro avg": {
|
516 |
-
"f1-score": 0.
|
517 |
-
"precision": 0.
|
518 |
-
"recall": 0.
|
519 |
-
"support":
|
520 |
-
},
|
521 |
-
"eval_runtime": 4.
|
522 |
-
"eval_samples_per_second": 17.
|
523 |
-
"eval_steps_per_second": 2.
|
524 |
"eval_weighted avg": {
|
525 |
-
"f1-score": 0.
|
526 |
-
"precision": 0.
|
527 |
-
"recall": 0.
|
528 |
-
"support":
|
529 |
},
|
530 |
"step": 1053
|
531 |
},
|
532 |
{
|
533 |
"epoch": 14.0,
|
534 |
"eval_B": {
|
535 |
-
"f1-score": 0.
|
536 |
-
"precision": 0.
|
537 |
-
"recall": 0.
|
538 |
-
"support":
|
539 |
},
|
540 |
"eval_I": {
|
541 |
-
"f1-score": 0.
|
542 |
-
"precision": 0.
|
543 |
-
"recall": 0.
|
544 |
-
"support":
|
545 |
},
|
546 |
"eval_O": {
|
547 |
-
"f1-score": 0.
|
548 |
-
"precision": 0.
|
549 |
-
"recall": 0.
|
550 |
-
"support":
|
551 |
},
|
552 |
-
"eval_accuracy": 0.
|
553 |
-
"eval_loss": 0.
|
554 |
"eval_macro avg": {
|
555 |
-
"f1-score": 0.
|
556 |
-
"precision": 0.
|
557 |
-
"recall": 0.
|
558 |
-
"support":
|
559 |
-
},
|
560 |
-
"eval_runtime": 4.
|
561 |
-
"eval_samples_per_second": 17.
|
562 |
-
"eval_steps_per_second": 2.
|
563 |
"eval_weighted avg": {
|
564 |
-
"f1-score": 0.
|
565 |
-
"precision": 0.
|
566 |
-
"recall": 0.
|
567 |
-
"support":
|
568 |
},
|
569 |
"step": 1134
|
570 |
},
|
571 |
{
|
572 |
"epoch": 15.0,
|
573 |
"eval_B": {
|
574 |
-
"f1-score": 0.
|
575 |
-
"precision": 0.
|
576 |
-
"recall": 0.
|
577 |
-
"support":
|
578 |
},
|
579 |
"eval_I": {
|
580 |
-
"f1-score": 0.
|
581 |
-
"precision": 0.
|
582 |
-
"recall": 0.
|
583 |
-
"support":
|
584 |
},
|
585 |
"eval_O": {
|
586 |
-
"f1-score": 0.
|
587 |
-
"precision": 0.
|
588 |
-
"recall": 0.
|
589 |
-
"support":
|
590 |
},
|
591 |
-
"eval_accuracy": 0.
|
592 |
-
"eval_loss": 0.
|
593 |
"eval_macro avg": {
|
594 |
-
"f1-score": 0.
|
595 |
-
"precision": 0.
|
596 |
-
"recall": 0.
|
597 |
-
"support":
|
598 |
-
},
|
599 |
-
"eval_runtime": 4.
|
600 |
-
"eval_samples_per_second": 17.
|
601 |
-
"eval_steps_per_second": 2.
|
602 |
"eval_weighted avg": {
|
603 |
-
"f1-score": 0.
|
604 |
-
"precision": 0.
|
605 |
-
"recall": 0.
|
606 |
-
"support":
|
607 |
},
|
608 |
"step": 1215
|
609 |
},
|
610 |
{
|
611 |
"epoch": 16.0,
|
612 |
"eval_B": {
|
613 |
-
"f1-score": 0.
|
614 |
-
"precision": 0.
|
615 |
-
"recall": 0.
|
616 |
-
"support":
|
617 |
},
|
618 |
"eval_I": {
|
619 |
-
"f1-score": 0.
|
620 |
-
"precision": 0.
|
621 |
-
"recall": 0.
|
622 |
-
"support":
|
623 |
},
|
624 |
"eval_O": {
|
625 |
-
"f1-score": 0.
|
626 |
-
"precision": 0.
|
627 |
-
"recall": 0.
|
628 |
-
"support":
|
629 |
},
|
630 |
-
"eval_accuracy": 0.
|
631 |
-
"eval_loss": 0.
|
632 |
"eval_macro avg": {
|
633 |
-
"f1-score": 0.
|
634 |
-
"precision": 0.
|
635 |
-
"recall": 0.
|
636 |
-
"support":
|
637 |
-
},
|
638 |
-
"eval_runtime": 4.
|
639 |
-
"eval_samples_per_second":
|
640 |
-
"eval_steps_per_second": 2.
|
641 |
"eval_weighted avg": {
|
642 |
-
"f1-score": 0.
|
643 |
-
"precision": 0.
|
644 |
-
"recall": 0.
|
645 |
-
"support":
|
646 |
},
|
647 |
"step": 1296
|
648 |
},
|
649 |
{
|
650 |
"epoch": 17.0,
|
651 |
"eval_B": {
|
652 |
-
"f1-score": 0.
|
653 |
-
"precision": 0.
|
654 |
-
"recall": 0.
|
655 |
-
"support":
|
656 |
},
|
657 |
"eval_I": {
|
658 |
-
"f1-score": 0.
|
659 |
-
"precision": 0.
|
660 |
-
"recall": 0.
|
661 |
-
"support":
|
662 |
},
|
663 |
"eval_O": {
|
664 |
-
"f1-score": 0.
|
665 |
-
"precision": 0.
|
666 |
-
"recall": 0.
|
667 |
-
"support":
|
668 |
},
|
669 |
-
"eval_accuracy": 0.
|
670 |
-
"eval_loss": 0.
|
671 |
"eval_macro avg": {
|
672 |
-
"f1-score": 0.
|
673 |
-
"precision": 0.
|
674 |
-
"recall": 0.
|
675 |
-
"support":
|
676 |
-
},
|
677 |
-
"eval_runtime": 4.
|
678 |
-
"eval_samples_per_second": 17.
|
679 |
-
"eval_steps_per_second": 2.
|
680 |
"eval_weighted avg": {
|
681 |
-
"f1-score": 0.
|
682 |
-
"precision": 0.
|
683 |
-
"recall": 0.
|
684 |
-
"support":
|
685 |
},
|
686 |
"step": 1377
|
687 |
},
|
688 |
{
|
689 |
"epoch": 18.0,
|
690 |
"eval_B": {
|
691 |
-
"f1-score": 0.
|
692 |
-
"precision": 0.
|
693 |
-
"recall": 0.
|
694 |
-
"support":
|
695 |
},
|
696 |
"eval_I": {
|
697 |
-
"f1-score": 0.
|
698 |
-
"precision": 0.
|
699 |
-
"recall": 0.
|
700 |
-
"support":
|
701 |
},
|
702 |
"eval_O": {
|
703 |
-
"f1-score": 0.
|
704 |
-
"precision": 0.
|
705 |
-
"recall": 0.
|
706 |
-
"support":
|
707 |
},
|
708 |
-
"eval_accuracy": 0.
|
709 |
-
"eval_loss": 0.
|
710 |
"eval_macro avg": {
|
711 |
-
"f1-score": 0.
|
712 |
-
"precision": 0.
|
713 |
-
"recall": 0.
|
714 |
-
"support":
|
715 |
-
},
|
716 |
-
"eval_runtime": 4.
|
717 |
-
"eval_samples_per_second":
|
718 |
-
"eval_steps_per_second": 2.
|
719 |
"eval_weighted avg": {
|
720 |
-
"f1-score": 0.
|
721 |
-
"precision": 0.
|
722 |
-
"recall": 0.
|
723 |
-
"support":
|
724 |
},
|
725 |
"step": 1458
|
726 |
},
|
727 |
{
|
728 |
"epoch": 18.52,
|
729 |
-
"grad_norm":
|
730 |
"learning_rate": 1.2592592592592593e-05,
|
731 |
-
"loss": 0.
|
732 |
"step": 1500
|
733 |
},
|
734 |
{
|
735 |
"epoch": 19.0,
|
736 |
"eval_B": {
|
737 |
-
"f1-score": 0.
|
738 |
-
"precision": 0.
|
739 |
-
"recall": 0.
|
740 |
-
"support":
|
741 |
},
|
742 |
"eval_I": {
|
743 |
-
"f1-score": 0.
|
744 |
-
"precision": 0.
|
745 |
-
"recall": 0.
|
746 |
-
"support":
|
747 |
},
|
748 |
"eval_O": {
|
749 |
-
"f1-score": 0.
|
750 |
-
"precision": 0.
|
751 |
-
"recall": 0.
|
752 |
-
"support":
|
753 |
},
|
754 |
-
"eval_accuracy": 0.
|
755 |
-
"eval_loss": 0.
|
756 |
"eval_macro avg": {
|
757 |
-
"f1-score": 0.
|
758 |
-
"precision": 0.
|
759 |
-
"recall": 0.
|
760 |
-
"support":
|
761 |
-
},
|
762 |
-
"eval_runtime": 4.
|
763 |
-
"eval_samples_per_second": 17.
|
764 |
-
"eval_steps_per_second": 2.
|
765 |
"eval_weighted avg": {
|
766 |
-
"f1-score": 0.
|
767 |
-
"precision": 0.
|
768 |
-
"recall": 0.
|
769 |
-
"support":
|
770 |
},
|
771 |
"step": 1539
|
772 |
},
|
773 |
{
|
774 |
"epoch": 20.0,
|
775 |
"eval_B": {
|
776 |
-
"f1-score": 0.
|
777 |
-
"precision": 0.
|
778 |
-
"recall": 0.
|
779 |
-
"support":
|
780 |
},
|
781 |
"eval_I": {
|
782 |
-
"f1-score": 0.
|
783 |
-
"precision": 0.
|
784 |
-
"recall": 0.
|
785 |
-
"support":
|
786 |
},
|
787 |
"eval_O": {
|
788 |
-
"f1-score": 0.
|
789 |
-
"precision": 0.
|
790 |
-
"recall": 0.
|
791 |
-
"support":
|
792 |
},
|
793 |
-
"eval_accuracy": 0.
|
794 |
-
"eval_loss": 0.
|
795 |
"eval_macro avg": {
|
796 |
-
"f1-score": 0.
|
797 |
-
"precision": 0.
|
798 |
-
"recall": 0.
|
799 |
-
"support":
|
800 |
-
},
|
801 |
-
"eval_runtime": 4.
|
802 |
-
"eval_samples_per_second": 17.
|
803 |
-
"eval_steps_per_second": 2.
|
804 |
"eval_weighted avg": {
|
805 |
-
"f1-score": 0.
|
806 |
-
"precision": 0.
|
807 |
-
"recall": 0.
|
808 |
-
"support":
|
809 |
},
|
810 |
"step": 1620
|
811 |
},
|
812 |
{
|
813 |
"epoch": 21.0,
|
814 |
"eval_B": {
|
815 |
-
"f1-score": 0.
|
816 |
-
"precision": 0.
|
817 |
-
"recall": 0.
|
818 |
-
"support":
|
819 |
},
|
820 |
"eval_I": {
|
821 |
-
"f1-score": 0.
|
822 |
-
"precision": 0.
|
823 |
-
"recall": 0.
|
824 |
-
"support":
|
825 |
},
|
826 |
"eval_O": {
|
827 |
-
"f1-score": 0.
|
828 |
-
"precision": 0.
|
829 |
-
"recall": 0.
|
830 |
-
"support":
|
831 |
},
|
832 |
-
"eval_accuracy": 0.
|
833 |
-
"eval_loss": 0.
|
834 |
"eval_macro avg": {
|
835 |
-
"f1-score": 0.
|
836 |
-
"precision": 0.
|
837 |
-
"recall": 0.
|
838 |
-
"support":
|
839 |
-
},
|
840 |
-
"eval_runtime": 4.
|
841 |
-
"eval_samples_per_second":
|
842 |
-
"eval_steps_per_second": 2.
|
843 |
"eval_weighted avg": {
|
844 |
-
"f1-score": 0.
|
845 |
-
"precision": 0.
|
846 |
-
"recall": 0.
|
847 |
-
"support":
|
848 |
},
|
849 |
"step": 1701
|
850 |
},
|
851 |
{
|
852 |
"epoch": 22.0,
|
853 |
"eval_B": {
|
854 |
-
"f1-score": 0.
|
855 |
-
"precision": 0.
|
856 |
-
"recall": 0.
|
857 |
-
"support":
|
858 |
},
|
859 |
"eval_I": {
|
860 |
-
"f1-score": 0.
|
861 |
-
"precision": 0.
|
862 |
-
"recall": 0.
|
863 |
-
"support":
|
864 |
},
|
865 |
"eval_O": {
|
866 |
-
"f1-score": 0.
|
867 |
-
"precision": 0.
|
868 |
-
"recall": 0.
|
869 |
-
"support":
|
870 |
},
|
871 |
-
"eval_accuracy": 0.
|
872 |
-
"eval_loss": 0.
|
873 |
"eval_macro avg": {
|
874 |
-
"f1-score": 0.
|
875 |
-
"precision": 0.
|
876 |
-
"recall": 0.
|
877 |
-
"support":
|
878 |
-
},
|
879 |
-
"eval_runtime": 4.
|
880 |
-
"eval_samples_per_second": 17.
|
881 |
-
"eval_steps_per_second": 2.
|
882 |
"eval_weighted avg": {
|
883 |
-
"f1-score": 0.
|
884 |
-
"precision": 0.
|
885 |
-
"recall": 0.
|
886 |
-
"support":
|
887 |
},
|
888 |
"step": 1782
|
889 |
},
|
890 |
{
|
891 |
"epoch": 23.0,
|
892 |
"eval_B": {
|
893 |
-
"f1-score": 0.
|
894 |
-
"precision": 0.
|
895 |
-
"recall": 0.
|
896 |
-
"support":
|
897 |
},
|
898 |
"eval_I": {
|
899 |
-
"f1-score": 0.
|
900 |
-
"precision": 0.
|
901 |
-
"recall": 0.
|
902 |
-
"support":
|
903 |
},
|
904 |
"eval_O": {
|
905 |
-
"f1-score": 0.
|
906 |
-
"precision": 0.
|
907 |
-
"recall": 0.
|
908 |
-
"support":
|
909 |
},
|
910 |
-
"eval_accuracy": 0.
|
911 |
-
"eval_loss": 0.
|
912 |
"eval_macro avg": {
|
913 |
-
"f1-score": 0.
|
914 |
-
"precision": 0.
|
915 |
-
"recall": 0.
|
916 |
-
"support":
|
917 |
-
},
|
918 |
-
"eval_runtime": 4.
|
919 |
-
"eval_samples_per_second": 17.
|
920 |
-
"eval_steps_per_second": 2.
|
921 |
"eval_weighted avg": {
|
922 |
-
"f1-score": 0.
|
923 |
-
"precision": 0.
|
924 |
-
"recall": 0.
|
925 |
-
"support":
|
926 |
},
|
927 |
"step": 1863
|
928 |
},
|
929 |
{
|
930 |
"epoch": 24.0,
|
931 |
"eval_B": {
|
932 |
-
"f1-score": 0.
|
933 |
-
"precision": 0.
|
934 |
-
"recall": 0.
|
935 |
-
"support":
|
936 |
},
|
937 |
"eval_I": {
|
938 |
-
"f1-score": 0.
|
939 |
-
"precision": 0.
|
940 |
-
"recall": 0.
|
941 |
-
"support":
|
942 |
},
|
943 |
"eval_O": {
|
944 |
-
"f1-score": 0.
|
945 |
-
"precision": 0.
|
946 |
-
"recall": 0.
|
947 |
-
"support":
|
948 |
},
|
949 |
-
"eval_accuracy": 0.
|
950 |
-
"eval_loss": 0.
|
951 |
"eval_macro avg": {
|
952 |
-
"f1-score": 0.
|
953 |
-
"precision": 0.
|
954 |
-
"recall": 0.
|
955 |
-
"support":
|
956 |
-
},
|
957 |
-
"eval_runtime": 4.
|
958 |
-
"eval_samples_per_second": 17.
|
959 |
-
"eval_steps_per_second": 2.
|
960 |
"eval_weighted avg": {
|
961 |
-
"f1-score": 0.
|
962 |
-
"precision": 0.
|
963 |
-
"recall": 0.
|
964 |
-
"support":
|
965 |
},
|
966 |
"step": 1944
|
967 |
},
|
968 |
{
|
969 |
"epoch": 24.69,
|
970 |
-
"grad_norm": 0.
|
971 |
"learning_rate": 1.0123456790123458e-05,
|
972 |
-
"loss": 0.
|
973 |
"step": 2000
|
974 |
},
|
975 |
{
|
976 |
"epoch": 25.0,
|
977 |
"eval_B": {
|
978 |
-
"f1-score": 0.
|
979 |
-
"precision": 0.
|
980 |
-
"recall": 0.
|
981 |
-
"support":
|
982 |
},
|
983 |
"eval_I": {
|
984 |
-
"f1-score": 0.
|
985 |
-
"precision": 0.
|
986 |
-
"recall": 0.
|
987 |
-
"support":
|
988 |
},
|
989 |
"eval_O": {
|
990 |
-
"f1-score": 0.
|
991 |
-
"precision": 0.
|
992 |
-
"recall": 0.
|
993 |
-
"support":
|
994 |
},
|
995 |
-
"eval_accuracy": 0.
|
996 |
-
"eval_loss": 0.
|
997 |
"eval_macro avg": {
|
998 |
-
"f1-score": 0.
|
999 |
-
"precision": 0.
|
1000 |
-
"recall": 0.
|
1001 |
-
"support":
|
1002 |
-
},
|
1003 |
-
"eval_runtime": 4.
|
1004 |
-
"eval_samples_per_second": 17.
|
1005 |
-
"eval_steps_per_second": 2.
|
1006 |
"eval_weighted avg": {
|
1007 |
-
"f1-score": 0.
|
1008 |
-
"precision": 0.
|
1009 |
-
"recall": 0.
|
1010 |
-
"support":
|
1011 |
},
|
1012 |
"step": 2025
|
1013 |
},
|
1014 |
{
|
1015 |
"epoch": 26.0,
|
1016 |
"eval_B": {
|
1017 |
-
"f1-score": 0.
|
1018 |
-
"precision": 0.
|
1019 |
-
"recall": 0.
|
1020 |
-
"support":
|
1021 |
},
|
1022 |
"eval_I": {
|
1023 |
-
"f1-score": 0.
|
1024 |
-
"precision": 0.
|
1025 |
-
"recall": 0.
|
1026 |
-
"support":
|
1027 |
},
|
1028 |
"eval_O": {
|
1029 |
-
"f1-score": 0.
|
1030 |
-
"precision": 0.
|
1031 |
-
"recall": 0.
|
1032 |
-
"support":
|
1033 |
},
|
1034 |
-
"eval_accuracy": 0.
|
1035 |
-
"eval_loss": 0.
|
1036 |
"eval_macro avg": {
|
1037 |
-
"f1-score": 0.
|
1038 |
-
"precision": 0.
|
1039 |
-
"recall": 0.
|
1040 |
-
"support":
|
1041 |
-
},
|
1042 |
-
"eval_runtime": 4.
|
1043 |
-
"eval_samples_per_second": 17.
|
1044 |
-
"eval_steps_per_second": 2.
|
1045 |
"eval_weighted avg": {
|
1046 |
-
"f1-score": 0.
|
1047 |
-
"precision": 0.
|
1048 |
-
"recall": 0.
|
1049 |
-
"support":
|
1050 |
},
|
1051 |
"step": 2106
|
1052 |
},
|
1053 |
{
|
1054 |
"epoch": 27.0,
|
1055 |
"eval_B": {
|
1056 |
-
"f1-score": 0.
|
1057 |
-
"precision": 0.
|
1058 |
-
"recall": 0.
|
1059 |
-
"support":
|
1060 |
},
|
1061 |
"eval_I": {
|
1062 |
-
"f1-score": 0.
|
1063 |
-
"precision": 0.
|
1064 |
-
"recall": 0.
|
1065 |
-
"support":
|
1066 |
},
|
1067 |
"eval_O": {
|
1068 |
-
"f1-score": 0.
|
1069 |
-
"precision": 0.
|
1070 |
-
"recall": 0.
|
1071 |
-
"support":
|
1072 |
},
|
1073 |
-
"eval_accuracy": 0.
|
1074 |
-
"eval_loss": 0.
|
1075 |
"eval_macro avg": {
|
1076 |
-
"f1-score": 0.
|
1077 |
-
"precision": 0.
|
1078 |
-
"recall": 0.
|
1079 |
-
"support":
|
1080 |
-
},
|
1081 |
-
"eval_runtime": 4.
|
1082 |
-
"eval_samples_per_second":
|
1083 |
-
"eval_steps_per_second": 2.
|
1084 |
"eval_weighted avg": {
|
1085 |
-
"f1-score": 0.
|
1086 |
-
"precision": 0.
|
1087 |
-
"recall": 0.
|
1088 |
-
"support":
|
1089 |
},
|
1090 |
"step": 2187
|
1091 |
},
|
1092 |
{
|
1093 |
"epoch": 28.0,
|
1094 |
"eval_B": {
|
1095 |
-
"f1-score": 0.
|
1096 |
-
"precision": 0.
|
1097 |
-
"recall": 0.
|
1098 |
-
"support":
|
1099 |
},
|
1100 |
"eval_I": {
|
1101 |
-
"f1-score": 0.
|
1102 |
-
"precision": 0.
|
1103 |
-
"recall": 0.
|
1104 |
-
"support":
|
1105 |
},
|
1106 |
"eval_O": {
|
1107 |
-
"f1-score": 0.
|
1108 |
-
"precision": 0.
|
1109 |
-
"recall": 0.
|
1110 |
-
"support":
|
1111 |
},
|
1112 |
-
"eval_accuracy": 0.
|
1113 |
-
"eval_loss": 0.
|
1114 |
"eval_macro avg": {
|
1115 |
-
"f1-score": 0.
|
1116 |
-
"precision": 0.
|
1117 |
-
"recall": 0.
|
1118 |
-
"support":
|
1119 |
-
},
|
1120 |
-
"eval_runtime": 4.
|
1121 |
-
"eval_samples_per_second":
|
1122 |
-
"eval_steps_per_second": 2.
|
1123 |
"eval_weighted avg": {
|
1124 |
-
"f1-score": 0.
|
1125 |
-
"precision": 0.
|
1126 |
-
"recall": 0.
|
1127 |
-
"support":
|
1128 |
},
|
1129 |
"step": 2268
|
1130 |
},
|
1131 |
{
|
1132 |
"epoch": 29.0,
|
1133 |
"eval_B": {
|
1134 |
-
"f1-score": 0.
|
1135 |
-
"precision": 0.
|
1136 |
-
"recall": 0.
|
1137 |
-
"support":
|
1138 |
},
|
1139 |
"eval_I": {
|
1140 |
-
"f1-score": 0.
|
1141 |
-
"precision": 0.
|
1142 |
-
"recall": 0.
|
1143 |
-
"support":
|
1144 |
},
|
1145 |
"eval_O": {
|
1146 |
-
"f1-score": 0.
|
1147 |
-
"precision": 0.
|
1148 |
-
"recall": 0.
|
1149 |
-
"support":
|
1150 |
},
|
1151 |
-
"eval_accuracy": 0.
|
1152 |
-
"eval_loss": 0.
|
1153 |
"eval_macro avg": {
|
1154 |
-
"f1-score": 0.
|
1155 |
-
"precision": 0.
|
1156 |
-
"recall": 0.
|
1157 |
-
"support":
|
1158 |
-
},
|
1159 |
-
"eval_runtime": 4.
|
1160 |
-
"eval_samples_per_second":
|
1161 |
-
"eval_steps_per_second": 2.
|
1162 |
"eval_weighted avg": {
|
1163 |
-
"f1-score": 0.
|
1164 |
-
"precision": 0.
|
1165 |
-
"recall": 0.
|
1166 |
-
"support":
|
1167 |
},
|
1168 |
"step": 2349
|
1169 |
},
|
1170 |
{
|
1171 |
"epoch": 30.0,
|
1172 |
"eval_B": {
|
1173 |
-
"f1-score": 0.
|
1174 |
-
"precision": 0.
|
1175 |
-
"recall": 0.
|
1176 |
-
"support":
|
1177 |
},
|
1178 |
"eval_I": {
|
1179 |
-
"f1-score": 0.
|
1180 |
-
"precision": 0.
|
1181 |
-
"recall": 0.
|
1182 |
-
"support":
|
1183 |
},
|
1184 |
"eval_O": {
|
1185 |
-
"f1-score": 0.
|
1186 |
-
"precision": 0.
|
1187 |
-
"recall": 0.
|
1188 |
-
"support":
|
1189 |
},
|
1190 |
-
"eval_accuracy": 0.
|
1191 |
-
"eval_loss": 0.
|
1192 |
"eval_macro avg": {
|
1193 |
-
"f1-score": 0.
|
1194 |
-
"precision": 0.
|
1195 |
-
"recall": 0.
|
1196 |
-
"support":
|
1197 |
-
},
|
1198 |
-
"eval_runtime": 4.
|
1199 |
-
"eval_samples_per_second":
|
1200 |
-
"eval_steps_per_second": 2.
|
1201 |
"eval_weighted avg": {
|
1202 |
-
"f1-score": 0.
|
1203 |
-
"precision": 0.
|
1204 |
-
"recall": 0.
|
1205 |
-
"support":
|
1206 |
},
|
1207 |
"step": 2430
|
1208 |
},
|
1209 |
{
|
1210 |
"epoch": 30.86,
|
1211 |
-
"grad_norm":
|
1212 |
"learning_rate": 7.654320987654322e-06,
|
1213 |
-
"loss": 0.
|
1214 |
"step": 2500
|
1215 |
},
|
1216 |
{
|
1217 |
"epoch": 31.0,
|
1218 |
"eval_B": {
|
1219 |
-
"f1-score": 0.
|
1220 |
-
"precision": 0.
|
1221 |
-
"recall": 0.
|
1222 |
-
"support":
|
1223 |
},
|
1224 |
"eval_I": {
|
1225 |
-
"f1-score": 0.
|
1226 |
-
"precision": 0.
|
1227 |
-
"recall": 0.
|
1228 |
-
"support":
|
1229 |
},
|
1230 |
"eval_O": {
|
1231 |
-
"f1-score": 0.
|
1232 |
-
"precision": 0.
|
1233 |
-
"recall": 0.
|
1234 |
-
"support":
|
1235 |
},
|
1236 |
-
"eval_accuracy": 0.
|
1237 |
-
"eval_loss": 0.
|
1238 |
"eval_macro avg": {
|
1239 |
-
"f1-score": 0.
|
1240 |
-
"precision": 0.
|
1241 |
-
"recall": 0.
|
1242 |
-
"support":
|
1243 |
-
},
|
1244 |
-
"eval_runtime": 4.
|
1245 |
-
"eval_samples_per_second": 17.
|
1246 |
-
"eval_steps_per_second": 2.
|
1247 |
"eval_weighted avg": {
|
1248 |
-
"f1-score": 0.
|
1249 |
-
"precision": 0.
|
1250 |
-
"recall": 0.
|
1251 |
-
"support":
|
1252 |
},
|
1253 |
"step": 2511
|
1254 |
},
|
1255 |
{
|
1256 |
"epoch": 32.0,
|
1257 |
"eval_B": {
|
1258 |
-
"f1-score": 0.
|
1259 |
-
"precision": 0.
|
1260 |
-
"recall": 0.
|
1261 |
-
"support":
|
1262 |
},
|
1263 |
"eval_I": {
|
1264 |
-
"f1-score": 0.
|
1265 |
-
"precision": 0.
|
1266 |
-
"recall": 0.
|
1267 |
-
"support":
|
1268 |
},
|
1269 |
"eval_O": {
|
1270 |
-
"f1-score": 0.
|
1271 |
-
"precision": 0.
|
1272 |
-
"recall": 0.
|
1273 |
-
"support":
|
1274 |
},
|
1275 |
-
"eval_accuracy": 0.
|
1276 |
-
"eval_loss": 0.
|
1277 |
"eval_macro avg": {
|
1278 |
-
"f1-score": 0.
|
1279 |
-
"precision": 0.
|
1280 |
-
"recall": 0.
|
1281 |
-
"support":
|
1282 |
-
},
|
1283 |
-
"eval_runtime": 4.
|
1284 |
-
"eval_samples_per_second": 17.
|
1285 |
-
"eval_steps_per_second": 2.
|
1286 |
"eval_weighted avg": {
|
1287 |
-
"f1-score": 0.
|
1288 |
-
"precision": 0.
|
1289 |
-
"recall": 0.
|
1290 |
-
"support":
|
1291 |
},
|
1292 |
"step": 2592
|
1293 |
},
|
1294 |
{
|
1295 |
"epoch": 33.0,
|
1296 |
"eval_B": {
|
1297 |
-
"f1-score": 0.
|
1298 |
-
"precision": 0.
|
1299 |
-
"recall": 0.
|
1300 |
-
"support":
|
1301 |
},
|
1302 |
"eval_I": {
|
1303 |
-
"f1-score": 0.
|
1304 |
-
"precision": 0.
|
1305 |
-
"recall": 0.
|
1306 |
-
"support":
|
1307 |
},
|
1308 |
"eval_O": {
|
1309 |
-
"f1-score": 0.
|
1310 |
-
"precision": 0.
|
1311 |
-
"recall": 0.
|
1312 |
-
"support":
|
1313 |
},
|
1314 |
-
"eval_accuracy": 0.
|
1315 |
-
"eval_loss": 0.
|
1316 |
"eval_macro avg": {
|
1317 |
-
"f1-score": 0.
|
1318 |
-
"precision": 0.
|
1319 |
-
"recall": 0.
|
1320 |
-
"support":
|
1321 |
-
},
|
1322 |
-
"eval_runtime": 4.
|
1323 |
-
"eval_samples_per_second":
|
1324 |
-
"eval_steps_per_second": 2.
|
1325 |
"eval_weighted avg": {
|
1326 |
-
"f1-score": 0.
|
1327 |
-
"precision": 0.
|
1328 |
-
"recall": 0.
|
1329 |
-
"support":
|
1330 |
},
|
1331 |
"step": 2673
|
1332 |
},
|
1333 |
{
|
1334 |
"epoch": 34.0,
|
1335 |
"eval_B": {
|
1336 |
-
"f1-score": 0.
|
1337 |
-
"precision": 0.
|
1338 |
-
"recall": 0.
|
1339 |
-
"support":
|
1340 |
},
|
1341 |
"eval_I": {
|
1342 |
-
"f1-score": 0.
|
1343 |
-
"precision": 0.
|
1344 |
-
"recall": 0.
|
1345 |
-
"support":
|
1346 |
},
|
1347 |
"eval_O": {
|
1348 |
-
"f1-score": 0.
|
1349 |
-
"precision": 0.
|
1350 |
-
"recall": 0.
|
1351 |
-
"support":
|
1352 |
},
|
1353 |
-
"eval_accuracy": 0.
|
1354 |
-
"eval_loss": 0.
|
1355 |
"eval_macro avg": {
|
1356 |
-
"f1-score": 0.
|
1357 |
-
"precision": 0.
|
1358 |
-
"recall": 0.
|
1359 |
-
"support":
|
1360 |
-
},
|
1361 |
-
"eval_runtime": 4.
|
1362 |
-
"eval_samples_per_second": 17.
|
1363 |
-
"eval_steps_per_second": 2.
|
1364 |
"eval_weighted avg": {
|
1365 |
-
"f1-score": 0.
|
1366 |
-
"precision": 0.
|
1367 |
-
"recall": 0.
|
1368 |
-
"support":
|
1369 |
},
|
1370 |
"step": 2754
|
1371 |
},
|
1372 |
{
|
1373 |
"epoch": 35.0,
|
1374 |
"eval_B": {
|
1375 |
-
"f1-score": 0.
|
1376 |
-
"precision": 0.
|
1377 |
-
"recall": 0.
|
1378 |
-
"support":
|
1379 |
},
|
1380 |
"eval_I": {
|
1381 |
-
"f1-score": 0.
|
1382 |
-
"precision": 0.
|
1383 |
-
"recall": 0.
|
1384 |
-
"support":
|
1385 |
},
|
1386 |
"eval_O": {
|
1387 |
-
"f1-score": 0.
|
1388 |
-
"precision": 0.
|
1389 |
-
"recall": 0.
|
1390 |
-
"support":
|
1391 |
},
|
1392 |
-
"eval_accuracy": 0.
|
1393 |
-
"eval_loss": 0.
|
1394 |
"eval_macro avg": {
|
1395 |
-
"f1-score": 0.
|
1396 |
-
"precision": 0.
|
1397 |
-
"recall": 0.
|
1398 |
-
"support":
|
1399 |
-
},
|
1400 |
-
"eval_runtime": 4.
|
1401 |
-
"eval_samples_per_second": 17.
|
1402 |
-
"eval_steps_per_second": 2.
|
1403 |
"eval_weighted avg": {
|
1404 |
-
"f1-score": 0.
|
1405 |
-
"precision": 0.
|
1406 |
-
"recall": 0.
|
1407 |
-
"support":
|
1408 |
},
|
1409 |
"step": 2835
|
1410 |
},
|
1411 |
{
|
1412 |
"epoch": 36.0,
|
1413 |
"eval_B": {
|
1414 |
-
"f1-score": 0.
|
1415 |
-
"precision": 0.
|
1416 |
-
"recall": 0.
|
1417 |
-
"support":
|
1418 |
},
|
1419 |
"eval_I": {
|
1420 |
-
"f1-score": 0.
|
1421 |
-
"precision": 0.
|
1422 |
-
"recall": 0.
|
1423 |
-
"support":
|
1424 |
},
|
1425 |
"eval_O": {
|
1426 |
-
"f1-score": 0.
|
1427 |
-
"precision": 0.
|
1428 |
-
"recall": 0.
|
1429 |
-
"support":
|
1430 |
},
|
1431 |
-
"eval_accuracy": 0.
|
1432 |
-
"eval_loss": 0.
|
1433 |
"eval_macro avg": {
|
1434 |
-
"f1-score": 0.
|
1435 |
-
"precision": 0.
|
1436 |
-
"recall": 0.
|
1437 |
-
"support":
|
1438 |
-
},
|
1439 |
-
"eval_runtime": 4.
|
1440 |
-
"eval_samples_per_second": 17.
|
1441 |
-
"eval_steps_per_second": 2.
|
1442 |
"eval_weighted avg": {
|
1443 |
-
"f1-score": 0.
|
1444 |
-
"precision": 0.
|
1445 |
-
"recall": 0.
|
1446 |
-
"support":
|
1447 |
},
|
1448 |
"step": 2916
|
1449 |
},
|
1450 |
{
|
1451 |
"epoch": 37.0,
|
1452 |
"eval_B": {
|
1453 |
-
"f1-score": 0.
|
1454 |
-
"precision": 0.
|
1455 |
-
"recall": 0.
|
1456 |
-
"support":
|
1457 |
},
|
1458 |
"eval_I": {
|
1459 |
-
"f1-score": 0.
|
1460 |
-
"precision": 0.
|
1461 |
-
"recall": 0.
|
1462 |
-
"support":
|
1463 |
},
|
1464 |
"eval_O": {
|
1465 |
-
"f1-score": 0.
|
1466 |
-
"precision": 0.
|
1467 |
-
"recall": 0.
|
1468 |
-
"support":
|
1469 |
},
|
1470 |
-
"eval_accuracy": 0.
|
1471 |
-
"eval_loss": 0.
|
1472 |
"eval_macro avg": {
|
1473 |
-
"f1-score": 0.
|
1474 |
-
"precision": 0.
|
1475 |
-
"recall": 0.
|
1476 |
-
"support":
|
1477 |
-
},
|
1478 |
-
"eval_runtime": 4.
|
1479 |
-
"eval_samples_per_second": 17.
|
1480 |
-
"eval_steps_per_second": 2.
|
1481 |
"eval_weighted avg": {
|
1482 |
-
"f1-score": 0.
|
1483 |
-
"precision": 0.
|
1484 |
-
"recall": 0.
|
1485 |
-
"support":
|
1486 |
},
|
1487 |
"step": 2997
|
1488 |
},
|
1489 |
{
|
1490 |
"epoch": 37.04,
|
1491 |
-
"grad_norm": 0.
|
1492 |
"learning_rate": 5.185185185185185e-06,
|
1493 |
-
"loss": 0.
|
1494 |
"step": 3000
|
1495 |
},
|
1496 |
{
|
1497 |
"epoch": 38.0,
|
1498 |
"eval_B": {
|
1499 |
-
"f1-score": 0.
|
1500 |
-
"precision": 0.
|
1501 |
-
"recall": 0.
|
1502 |
-
"support":
|
1503 |
},
|
1504 |
"eval_I": {
|
1505 |
-
"f1-score": 0.
|
1506 |
-
"precision": 0.
|
1507 |
-
"recall": 0.
|
1508 |
-
"support":
|
1509 |
},
|
1510 |
"eval_O": {
|
1511 |
-
"f1-score": 0.
|
1512 |
-
"precision": 0.
|
1513 |
-
"recall": 0.
|
1514 |
-
"support":
|
1515 |
},
|
1516 |
-
"eval_accuracy": 0.
|
1517 |
-
"eval_loss": 0.
|
1518 |
"eval_macro avg": {
|
1519 |
-
"f1-score": 0.
|
1520 |
-
"precision": 0.
|
1521 |
-
"recall": 0.
|
1522 |
-
"support":
|
1523 |
-
},
|
1524 |
-
"eval_runtime": 4.
|
1525 |
-
"eval_samples_per_second": 17.
|
1526 |
-
"eval_steps_per_second": 2.
|
1527 |
"eval_weighted avg": {
|
1528 |
-
"f1-score": 0.
|
1529 |
-
"precision": 0.
|
1530 |
-
"recall": 0.
|
1531 |
-
"support":
|
1532 |
},
|
1533 |
"step": 3078
|
1534 |
},
|
1535 |
{
|
1536 |
"epoch": 39.0,
|
1537 |
"eval_B": {
|
1538 |
-
"f1-score": 0.
|
1539 |
-
"precision": 0.
|
1540 |
-
"recall": 0.
|
1541 |
-
"support":
|
1542 |
},
|
1543 |
"eval_I": {
|
1544 |
-
"f1-score": 0.
|
1545 |
-
"precision": 0.
|
1546 |
-
"recall": 0.
|
1547 |
-
"support":
|
1548 |
},
|
1549 |
"eval_O": {
|
1550 |
-
"f1-score": 0.
|
1551 |
-
"precision": 0.
|
1552 |
-
"recall": 0.
|
1553 |
-
"support":
|
1554 |
},
|
1555 |
-
"eval_accuracy": 0.
|
1556 |
-
"eval_loss": 0.
|
1557 |
"eval_macro avg": {
|
1558 |
-
"f1-score": 0.
|
1559 |
-
"precision": 0.
|
1560 |
-
"recall": 0.
|
1561 |
-
"support":
|
1562 |
-
},
|
1563 |
-
"eval_runtime": 4.
|
1564 |
-
"eval_samples_per_second": 17.
|
1565 |
-
"eval_steps_per_second": 2.
|
1566 |
"eval_weighted avg": {
|
1567 |
-
"f1-score": 0.
|
1568 |
-
"precision": 0.
|
1569 |
-
"recall": 0.
|
1570 |
-
"support":
|
1571 |
},
|
1572 |
"step": 3159
|
1573 |
},
|
1574 |
{
|
1575 |
"epoch": 40.0,
|
1576 |
"eval_B": {
|
1577 |
-
"f1-score": 0.
|
1578 |
-
"precision": 0.
|
1579 |
-
"recall": 0.
|
1580 |
-
"support":
|
1581 |
},
|
1582 |
"eval_I": {
|
1583 |
-
"f1-score": 0.
|
1584 |
-
"precision": 0.
|
1585 |
-
"recall": 0.
|
1586 |
-
"support":
|
1587 |
},
|
1588 |
"eval_O": {
|
1589 |
-
"f1-score": 0.
|
1590 |
-
"precision": 0.
|
1591 |
-
"recall": 0.
|
1592 |
-
"support":
|
1593 |
},
|
1594 |
-
"eval_accuracy": 0.
|
1595 |
-
"eval_loss": 0.
|
1596 |
"eval_macro avg": {
|
1597 |
-
"f1-score": 0.
|
1598 |
-
"precision": 0.
|
1599 |
-
"recall": 0.
|
1600 |
-
"support":
|
1601 |
-
},
|
1602 |
-
"eval_runtime": 4.
|
1603 |
-
"eval_samples_per_second":
|
1604 |
-
"eval_steps_per_second": 2.
|
1605 |
"eval_weighted avg": {
|
1606 |
-
"f1-score": 0.
|
1607 |
-
"precision": 0.
|
1608 |
-
"recall": 0.
|
1609 |
-
"support":
|
1610 |
},
|
1611 |
"step": 3240
|
1612 |
}
|
@@ -1616,7 +1616,7 @@
|
|
1616 |
"num_input_tokens_seen": 0,
|
1617 |
"num_train_epochs": 50,
|
1618 |
"save_steps": 500,
|
1619 |
-
"total_flos":
|
1620 |
"train_batch_size": 4,
|
1621 |
"trial_name": null,
|
1622 |
"trial_params": null
|
|
|
11 |
{
|
12 |
"epoch": 1.0,
|
13 |
"eval_B": {
|
14 |
+
"f1-score": 0.8331822302810515,
|
15 |
+
"precision": 0.7901977644024075,
|
16 |
+
"recall": 0.8811121764141898,
|
17 |
+
"support": 1043.0
|
18 |
},
|
19 |
"eval_I": {
|
20 |
+
"f1-score": 0.9471294753175105,
|
21 |
+
"precision": 0.9443616777446711,
|
22 |
+
"recall": 0.9499135446685879,
|
23 |
+
"support": 17350.0
|
24 |
},
|
25 |
"eval_O": {
|
26 |
+
"f1-score": 0.8992868897421833,
|
27 |
+
"precision": 0.9103731674811195,
|
28 |
+
"recall": 0.8884673748103187,
|
29 |
+
"support": 9226.0
|
30 |
},
|
31 |
+
"eval_accuracy": 0.9267895289474637,
|
32 |
+
"eval_loss": 0.20478281378746033,
|
33 |
"eval_macro avg": {
|
34 |
+
"f1-score": 0.8931995317802484,
|
35 |
+
"precision": 0.8816442032093993,
|
36 |
+
"recall": 0.9064976986310321,
|
37 |
+
"support": 27619.0
|
38 |
+
},
|
39 |
+
"eval_runtime": 4.6128,
|
40 |
+
"eval_samples_per_second": 17.343,
|
41 |
+
"eval_steps_per_second": 2.168,
|
42 |
"eval_weighted avg": {
|
43 |
+
"f1-score": 0.9268447919078652,
|
44 |
+
"precision": 0.9271861479533134,
|
45 |
+
"recall": 0.9267895289474637,
|
46 |
+
"support": 27619.0
|
47 |
},
|
48 |
"step": 81
|
49 |
},
|
50 |
{
|
51 |
"epoch": 2.0,
|
52 |
"eval_B": {
|
53 |
+
"f1-score": 0.8682547399124939,
|
54 |
+
"precision": 0.8806706114398422,
|
55 |
+
"recall": 0.8561840843720039,
|
56 |
+
"support": 1043.0
|
57 |
},
|
58 |
"eval_I": {
|
59 |
+
"f1-score": 0.9590983771942466,
|
60 |
+
"precision": 0.9592919333448654,
|
61 |
+
"recall": 0.9589048991354466,
|
62 |
+
"support": 17350.0
|
63 |
},
|
64 |
"eval_O": {
|
65 |
+
"f1-score": 0.9226525313717006,
|
66 |
+
"precision": 0.9208594256100194,
|
67 |
+
"recall": 0.9244526338608281,
|
68 |
+
"support": 9226.0
|
69 |
},
|
70 |
+
"eval_accuracy": 0.9435171439950758,
|
71 |
+
"eval_loss": 0.16574698686599731,
|
72 |
"eval_macro avg": {
|
73 |
+
"f1-score": 0.9166685494928136,
|
74 |
+
"precision": 0.9202739901315756,
|
75 |
+
"recall": 0.9131805391227594,
|
76 |
+
"support": 27619.0
|
77 |
+
},
|
78 |
+
"eval_runtime": 4.6238,
|
79 |
+
"eval_samples_per_second": 17.302,
|
80 |
+
"eval_steps_per_second": 2.163,
|
81 |
"eval_weighted avg": {
|
82 |
+
"f1-score": 0.9434932036816766,
|
83 |
+
"precision": 0.9434846863370583,
|
84 |
+
"recall": 0.9435171439950758,
|
85 |
+
"support": 27619.0
|
86 |
},
|
87 |
"step": 162
|
88 |
},
|
89 |
{
|
90 |
"epoch": 3.0,
|
91 |
"eval_B": {
|
92 |
+
"f1-score": 0.8791725434884815,
|
93 |
+
"precision": 0.8625461254612546,
|
94 |
+
"recall": 0.8964525407478428,
|
95 |
+
"support": 1043.0
|
96 |
},
|
97 |
"eval_I": {
|
98 |
+
"f1-score": 0.9588372159825352,
|
99 |
+
"precision": 0.9557349825345015,
|
100 |
+
"recall": 0.9619596541786744,
|
101 |
+
"support": 17350.0
|
102 |
},
|
103 |
"eval_O": {
|
104 |
+
"f1-score": 0.9204284621270084,
|
105 |
+
"precision": 0.9282407407407407,
|
106 |
+
"recall": 0.9127465857359636,
|
107 |
+
"support": 9226.0
|
108 |
},
|
109 |
+
"eval_accuracy": 0.9430464535283681,
|
110 |
+
"eval_loss": 0.15394224226474762,
|
111 |
"eval_macro avg": {
|
112 |
+
"f1-score": 0.9194794071993417,
|
113 |
+
"precision": 0.9155072829121655,
|
114 |
+
"recall": 0.9237195935541602,
|
115 |
+
"support": 27619.0
|
116 |
+
},
|
117 |
+
"eval_runtime": 4.6233,
|
118 |
+
"eval_samples_per_second": 17.303,
|
119 |
+
"eval_steps_per_second": 2.163,
|
120 |
"eval_weighted avg": {
|
121 |
+
"f1-score": 0.9429985029052194,
|
122 |
+
"precision": 0.9430314866542512,
|
123 |
+
"recall": 0.9430464535283681,
|
124 |
+
"support": 27619.0
|
125 |
},
|
126 |
"step": 243
|
127 |
},
|
128 |
{
|
129 |
"epoch": 4.0,
|
130 |
"eval_B": {
|
131 |
+
"f1-score": 0.8800746616892207,
|
132 |
+
"precision": 0.8572727272727273,
|
133 |
+
"recall": 0.9041227229146692,
|
134 |
+
"support": 1043.0
|
135 |
},
|
136 |
"eval_I": {
|
137 |
+
"f1-score": 0.9537844036697248,
|
138 |
+
"precision": 0.9488876212207644,
|
139 |
+
"recall": 0.9587319884726225,
|
140 |
+
"support": 17350.0
|
141 |
},
|
142 |
"eval_O": {
|
143 |
+
"f1-score": 0.9100192149327477,
|
144 |
+
"precision": 0.9220157970853265,
|
145 |
+
"recall": 0.8983308042488619,
|
146 |
+
"support": 9226.0
|
147 |
},
|
148 |
+
"eval_accuracy": 0.9364929939534379,
|
149 |
+
"eval_loss": 0.19801080226898193,
|
150 |
"eval_macro avg": {
|
151 |
+
"f1-score": 0.9146260934305644,
|
152 |
+
"precision": 0.9093920485262728,
|
153 |
+
"recall": 0.9203951718787179,
|
154 |
+
"support": 27619.0
|
155 |
+
},
|
156 |
+
"eval_runtime": 4.6132,
|
157 |
+
"eval_samples_per_second": 17.342,
|
158 |
+
"eval_steps_per_second": 2.168,
|
159 |
"eval_weighted avg": {
|
160 |
+
"f1-score": 0.9363812792925563,
|
161 |
+
"precision": 0.9364514800186444,
|
162 |
+
"recall": 0.9364929939534379,
|
163 |
+
"support": 27619.0
|
164 |
},
|
165 |
"step": 324
|
166 |
},
|
167 |
{
|
168 |
"epoch": 5.0,
|
169 |
"eval_B": {
|
170 |
+
"f1-score": 0.883877159309021,
|
171 |
+
"precision": 0.8847262247838616,
|
172 |
+
"recall": 0.8830297219558965,
|
173 |
+
"support": 1043.0
|
174 |
},
|
175 |
"eval_I": {
|
176 |
+
"f1-score": 0.9591500482927107,
|
177 |
+
"precision": 0.9456643513331839,
|
178 |
+
"recall": 0.9730259365994236,
|
179 |
+
"support": 17350.0
|
180 |
},
|
181 |
"eval_O": {
|
182 |
+
"f1-score": 0.9191176470588236,
|
183 |
+
"precision": 0.9454503781801513,
|
184 |
+
"recall": 0.8942120095382614,
|
185 |
+
"support": 9226.0
|
186 |
},
|
187 |
+
"eval_accuracy": 0.9432999022412107,
|
188 |
+
"eval_loss": 0.20074255764484406,
|
189 |
"eval_macro avg": {
|
190 |
+
"f1-score": 0.9207149515535183,
|
191 |
+
"precision": 0.9252803180990656,
|
192 |
+
"recall": 0.9167558893645271,
|
193 |
+
"support": 27619.0
|
194 |
+
},
|
195 |
+
"eval_runtime": 4.6092,
|
196 |
+
"eval_samples_per_second": 17.356,
|
197 |
+
"eval_steps_per_second": 2.17,
|
198 |
"eval_weighted avg": {
|
199 |
+
"f1-score": 0.9429348139614955,
|
200 |
+
"precision": 0.9432916158141273,
|
201 |
+
"recall": 0.9432999022412107,
|
202 |
+
"support": 27619.0
|
203 |
},
|
204 |
"step": 405
|
205 |
},
|
206 |
{
|
207 |
"epoch": 6.0,
|
208 |
"eval_B": {
|
209 |
+
"f1-score": 0.8897338403041826,
|
210 |
+
"precision": 0.882186616399623,
|
211 |
+
"recall": 0.8974113135186961,
|
212 |
+
"support": 1043.0
|
213 |
},
|
214 |
"eval_I": {
|
215 |
+
"f1-score": 0.9624160683661308,
|
216 |
+
"precision": 0.9707969272268809,
|
217 |
+
"recall": 0.954178674351585,
|
218 |
+
"support": 17350.0
|
219 |
},
|
220 |
"eval_O": {
|
221 |
+
"f1-score": 0.9297955261331482,
|
222 |
+
"precision": 0.9161493950552341,
|
223 |
+
"recall": 0.9438543247344461,
|
224 |
+
"support": 9226.0
|
225 |
},
|
226 |
+
"eval_accuracy": 0.9485861182519281,
|
227 |
+
"eval_loss": 0.16565027832984924,
|
228 |
"eval_macro avg": {
|
229 |
+
"f1-score": 0.9273151449344872,
|
230 |
+
"precision": 0.9230443128939126,
|
231 |
+
"recall": 0.9318147708682424,
|
232 |
+
"support": 27619.0
|
233 |
+
},
|
234 |
+
"eval_runtime": 4.6219,
|
235 |
+
"eval_samples_per_second": 17.309,
|
236 |
+
"eval_steps_per_second": 2.164,
|
237 |
"eval_weighted avg": {
|
238 |
+
"f1-score": 0.9487745648174827,
|
239 |
+
"precision": 0.9491959030765336,
|
240 |
+
"recall": 0.9485861182519281,
|
241 |
+
"support": 27619.0
|
242 |
},
|
243 |
"step": 486
|
244 |
},
|
245 |
{
|
246 |
"epoch": 6.17,
|
247 |
+
"grad_norm": 4.767655849456787,
|
248 |
"learning_rate": 1.7530864197530865e-05,
|
249 |
+
"loss": 0.1585,
|
250 |
"step": 500
|
251 |
},
|
252 |
{
|
253 |
"epoch": 7.0,
|
254 |
"eval_B": {
|
255 |
+
"f1-score": 0.8802588996763754,
|
256 |
+
"precision": 0.85,
|
257 |
+
"recall": 0.912751677852349,
|
258 |
+
"support": 1043.0
|
259 |
},
|
260 |
"eval_I": {
|
261 |
+
"f1-score": 0.958423523458803,
|
262 |
+
"precision": 0.9354661691269275,
|
263 |
+
"recall": 0.9825360230547551,
|
264 |
+
"support": 17350.0
|
265 |
},
|
266 |
"eval_O": {
|
267 |
+
"f1-score": 0.9139526911210146,
|
268 |
+
"precision": 0.9664088931851136,
|
269 |
+
"recall": 0.8668978972469109,
|
270 |
+
"support": 9226.0
|
271 |
},
|
272 |
+
"eval_accuracy": 0.9412723125384699,
|
273 |
+
"eval_loss": 0.2591131329536438,
|
274 |
"eval_macro avg": {
|
275 |
+
"f1-score": 0.9175450380853977,
|
276 |
+
"precision": 0.917291687437347,
|
277 |
+
"recall": 0.9207285327180049,
|
278 |
+
"support": 27619.0
|
279 |
+
},
|
280 |
+
"eval_runtime": 4.617,
|
281 |
+
"eval_samples_per_second": 17.327,
|
282 |
+
"eval_steps_per_second": 2.166,
|
283 |
"eval_weighted avg": {
|
284 |
+
"f1-score": 0.9406164485555297,
|
285 |
+
"precision": 0.9425749115781907,
|
286 |
+
"recall": 0.9412723125384699,
|
287 |
+
"support": 27619.0
|
288 |
},
|
289 |
"step": 567
|
290 |
},
|
291 |
{
|
292 |
"epoch": 8.0,
|
293 |
"eval_B": {
|
294 |
+
"f1-score": 0.8687910028116214,
|
295 |
+
"precision": 0.84967919340055,
|
296 |
+
"recall": 0.8887823585810163,
|
297 |
+
"support": 1043.0
|
298 |
},
|
299 |
"eval_I": {
|
300 |
+
"f1-score": 0.9595010203788336,
|
301 |
+
"precision": 0.956997878562009,
|
302 |
+
"recall": 0.9620172910662824,
|
303 |
+
"support": 17350.0
|
304 |
},
|
305 |
"eval_O": {
|
306 |
+
"f1-score": 0.9212035166275324,
|
307 |
+
"precision": 0.9282491471332673,
|
308 |
+
"recall": 0.9142640364188164,
|
309 |
+
"support": 9226.0
|
310 |
},
|
311 |
+
"eval_accuracy": 0.9432999022412107,
|
312 |
+
"eval_loss": 0.2693409323692322,
|
313 |
"eval_macro avg": {
|
314 |
+
"f1-score": 0.9164985132726624,
|
315 |
+
"precision": 0.9116420730319422,
|
316 |
+
"recall": 0.9216878953553717,
|
317 |
+
"support": 27619.0
|
318 |
+
},
|
319 |
+
"eval_runtime": 4.6153,
|
320 |
+
"eval_samples_per_second": 17.333,
|
321 |
+
"eval_steps_per_second": 2.167,
|
322 |
"eval_weighted avg": {
|
323 |
+
"f1-score": 0.9432823550422136,
|
324 |
+
"precision": 0.9433417293609165,
|
325 |
+
"recall": 0.9432999022412107,
|
326 |
+
"support": 27619.0
|
327 |
},
|
328 |
"step": 648
|
329 |
},
|
330 |
{
|
331 |
"epoch": 9.0,
|
332 |
"eval_B": {
|
333 |
+
"f1-score": 0.8645343367826904,
|
334 |
+
"precision": 0.8485687903970452,
|
335 |
+
"recall": 0.8811121764141898,
|
336 |
+
"support": 1043.0
|
337 |
},
|
338 |
"eval_I": {
|
339 |
+
"f1-score": 0.9567003348057282,
|
340 |
+
"precision": 0.934535260814599,
|
341 |
+
"recall": 0.9799423631123919,
|
342 |
+
"support": 17350.0
|
343 |
},
|
344 |
"eval_O": {
|
345 |
+
"f1-score": 0.9104673003585861,
|
346 |
+
"precision": 0.9586479683567062,
|
347 |
+
"recall": 0.8668978972469109,
|
348 |
+
"support": 9226.0
|
349 |
},
|
350 |
+
"eval_accuracy": 0.9384481697382236,
|
351 |
+
"eval_loss": 0.3087053894996643,
|
352 |
"eval_macro avg": {
|
353 |
+
"f1-score": 0.910567323982335,
|
354 |
+
"precision": 0.9139173398561168,
|
355 |
+
"recall": 0.9093174789244975,
|
356 |
+
"support": 27619.0
|
357 |
+
},
|
358 |
+
"eval_runtime": 4.6156,
|
359 |
+
"eval_samples_per_second": 17.333,
|
360 |
+
"eval_steps_per_second": 2.167,
|
361 |
"eval_weighted avg": {
|
362 |
+
"f1-score": 0.9377758584761231,
|
363 |
+
"precision": 0.9393435743356523,
|
364 |
+
"recall": 0.9384481697382236,
|
365 |
+
"support": 27619.0
|
366 |
},
|
367 |
"step": 729
|
368 |
},
|
369 |
{
|
370 |
"epoch": 10.0,
|
371 |
"eval_B": {
|
372 |
+
"f1-score": 0.8803126526624329,
|
373 |
+
"precision": 0.897410358565737,
|
374 |
+
"recall": 0.8638542665388304,
|
375 |
+
"support": 1043.0
|
376 |
},
|
377 |
"eval_I": {
|
378 |
+
"f1-score": 0.9590983771942466,
|
379 |
+
"precision": 0.9592919333448654,
|
380 |
+
"recall": 0.9589048991354466,
|
381 |
+
"support": 17350.0
|
382 |
},
|
383 |
"eval_O": {
|
384 |
+
"f1-score": 0.9220456265542221,
|
385 |
+
"precision": 0.9197584124245038,
|
386 |
+
"recall": 0.9243442445263386,
|
387 |
+
"support": 9226.0
|
388 |
},
|
389 |
+
"eval_accuracy": 0.9437705927079184,
|
390 |
+
"eval_loss": 0.2796257436275482,
|
391 |
"eval_macro avg": {
|
392 |
+
"f1-score": 0.9204855521369671,
|
393 |
+
"precision": 0.9254869014450354,
|
394 |
+
"recall": 0.9157011367335386,
|
395 |
+
"support": 27619.0
|
396 |
+
},
|
397 |
+
"eval_runtime": 4.641,
|
398 |
+
"eval_samples_per_second": 17.238,
|
399 |
+
"eval_steps_per_second": 2.155,
|
400 |
"eval_weighted avg": {
|
401 |
+
"f1-score": 0.9437458232244597,
|
402 |
+
"precision": 0.9437490553802075,
|
403 |
+
"recall": 0.9437705927079184,
|
404 |
+
"support": 27619.0
|
405 |
},
|
406 |
"step": 810
|
407 |
},
|
408 |
{
|
409 |
"epoch": 11.0,
|
410 |
"eval_B": {
|
411 |
+
"f1-score": 0.8830917874396135,
|
412 |
+
"precision": 0.8899707887049659,
|
413 |
+
"recall": 0.8763183125599233,
|
414 |
+
"support": 1043.0
|
415 |
},
|
416 |
"eval_I": {
|
417 |
+
"f1-score": 0.9574634882843123,
|
418 |
+
"precision": 0.9647182727751448,
|
419 |
+
"recall": 0.9503170028818444,
|
420 |
+
"support": 17350.0
|
421 |
},
|
422 |
"eval_O": {
|
423 |
+
"f1-score": 0.9200619426496501,
|
424 |
+
"precision": 0.9067466582465004,
|
425 |
+
"recall": 0.9337741166269239,
|
426 |
+
"support": 9226.0
|
427 |
},
|
428 |
+
"eval_accuracy": 0.9419964517180202,
|
429 |
+
"eval_loss": 0.3198166787624359,
|
430 |
"eval_macro avg": {
|
431 |
+
"f1-score": 0.9202057394578587,
|
432 |
+
"precision": 0.9204785732422037,
|
433 |
+
"recall": 0.9201364773562305,
|
434 |
+
"support": 27619.0
|
435 |
+
},
|
436 |
+
"eval_runtime": 4.6345,
|
437 |
+
"eval_samples_per_second": 17.262,
|
438 |
+
"eval_steps_per_second": 2.158,
|
439 |
"eval_weighted avg": {
|
440 |
+
"f1-score": 0.942161111514465,
|
441 |
+
"precision": 0.9425303680165918,
|
442 |
+
"recall": 0.9419964517180202,
|
443 |
+
"support": 27619.0
|
444 |
},
|
445 |
"step": 891
|
446 |
},
|
447 |
{
|
448 |
"epoch": 12.0,
|
449 |
"eval_B": {
|
450 |
+
"f1-score": 0.871306005719733,
|
451 |
+
"precision": 0.8663507109004739,
|
452 |
+
"recall": 0.8763183125599233,
|
453 |
+
"support": 1043.0
|
454 |
},
|
455 |
"eval_I": {
|
456 |
+
"f1-score": 0.9576855173984852,
|
457 |
+
"precision": 0.9464205312922107,
|
458 |
+
"recall": 0.9692219020172911,
|
459 |
+
"support": 17350.0
|
460 |
},
|
461 |
"eval_O": {
|
462 |
+
"f1-score": 0.9162135168127844,
|
463 |
+
"precision": 0.9386084583901774,
|
464 |
+
"recall": 0.8948623455451984,
|
465 |
+
"support": 9226.0
|
466 |
},
|
467 |
+
"eval_accuracy": 0.9408740359897172,
|
468 |
+
"eval_loss": 0.35264310240745544,
|
469 |
"eval_macro avg": {
|
470 |
+
"f1-score": 0.9150683466436677,
|
471 |
+
"precision": 0.917126566860954,
|
472 |
+
"recall": 0.9134675200408043,
|
473 |
+
"support": 27619.0
|
474 |
+
},
|
475 |
+
"eval_runtime": 4.6326,
|
476 |
+
"eval_samples_per_second": 17.269,
|
477 |
+
"eval_steps_per_second": 2.159,
|
478 |
"eval_weighted avg": {
|
479 |
+
"f1-score": 0.9405699625961891,
|
480 |
+
"precision": 0.9407871989028143,
|
481 |
+
"recall": 0.9408740359897172,
|
482 |
+
"support": 27619.0
|
483 |
},
|
484 |
"step": 972
|
485 |
},
|
486 |
{
|
487 |
"epoch": 12.35,
|
488 |
+
"grad_norm": 0.3602512776851654,
|
489 |
"learning_rate": 1.506172839506173e-05,
|
490 |
+
"loss": 0.021,
|
491 |
"step": 1000
|
492 |
},
|
493 |
{
|
494 |
"epoch": 13.0,
|
495 |
"eval_B": {
|
496 |
+
"f1-score": 0.877092300334768,
|
497 |
+
"precision": 0.875,
|
498 |
+
"recall": 0.8791946308724832,
|
499 |
+
"support": 1043.0
|
500 |
},
|
501 |
"eval_I": {
|
502 |
+
"f1-score": 0.9597242793665263,
|
503 |
+
"precision": 0.9486991778353419,
|
504 |
+
"recall": 0.9710086455331413,
|
505 |
+
"support": 17350.0
|
506 |
},
|
507 |
"eval_O": {
|
508 |
+
"f1-score": 0.9203392649259936,
|
509 |
+
"precision": 0.9419040054464994,
|
510 |
+
"recall": 0.8997398655972252,
|
511 |
+
"support": 9226.0
|
512 |
},
|
513 |
+
"eval_accuracy": 0.943734385748941,
|
514 |
+
"eval_loss": 0.3594338297843933,
|
515 |
"eval_macro avg": {
|
516 |
+
"f1-score": 0.9190519482090961,
|
517 |
+
"precision": 0.9218677277606138,
|
518 |
+
"recall": 0.9166477140009498,
|
519 |
+
"support": 27619.0
|
520 |
+
},
|
521 |
+
"eval_runtime": 4.6042,
|
522 |
+
"eval_samples_per_second": 17.376,
|
523 |
+
"eval_steps_per_second": 2.172,
|
524 |
"eval_weighted avg": {
|
525 |
+
"f1-score": 0.943447393984779,
|
526 |
+
"precision": 0.9436461164304495,
|
527 |
+
"recall": 0.943734385748941,
|
528 |
+
"support": 27619.0
|
529 |
},
|
530 |
"step": 1053
|
531 |
},
|
532 |
{
|
533 |
"epoch": 14.0,
|
534 |
"eval_B": {
|
535 |
+
"f1-score": 0.8754052802223252,
|
536 |
+
"precision": 0.8467741935483871,
|
537 |
+
"recall": 0.9060402684563759,
|
538 |
+
"support": 1043.0
|
539 |
},
|
540 |
"eval_I": {
|
541 |
+
"f1-score": 0.9574973153224439,
|
542 |
+
"precision": 0.9392880904856953,
|
543 |
+
"recall": 0.9764265129682997,
|
544 |
+
"support": 17350.0
|
545 |
},
|
546 |
"eval_O": {
|
547 |
+
"f1-score": 0.9130164471825015,
|
548 |
+
"precision": 0.9539388213062477,
|
549 |
+
"recall": 0.8754606546715803,
|
550 |
+
"support": 9226.0
|
551 |
},
|
552 |
+
"eval_accuracy": 0.9400412759332344,
|
553 |
+
"eval_loss": 0.3840242028236389,
|
554 |
"eval_macro avg": {
|
555 |
+
"f1-score": 0.9153063475757568,
|
556 |
+
"precision": 0.9133337017801101,
|
557 |
+
"recall": 0.9193091453654186,
|
558 |
+
"support": 27619.0
|
559 |
+
},
|
560 |
+
"eval_runtime": 4.6182,
|
561 |
+
"eval_samples_per_second": 17.323,
|
562 |
+
"eval_steps_per_second": 2.165,
|
563 |
"eval_weighted avg": {
|
564 |
+
"f1-score": 0.9395385738014427,
|
565 |
+
"precision": 0.9406884180878825,
|
566 |
+
"recall": 0.9400412759332344,
|
567 |
+
"support": 27619.0
|
568 |
},
|
569 |
"step": 1134
|
570 |
},
|
571 |
{
|
572 |
"epoch": 15.0,
|
573 |
"eval_B": {
|
574 |
+
"f1-score": 0.8797709923664121,
|
575 |
+
"precision": 0.8755935422602089,
|
576 |
+
"recall": 0.8839884947267498,
|
577 |
+
"support": 1043.0
|
578 |
},
|
579 |
"eval_I": {
|
580 |
+
"f1-score": 0.9603688219460511,
|
581 |
+
"precision": 0.954302299112224,
|
582 |
+
"recall": 0.9665129682997118,
|
583 |
+
"support": 17350.0
|
584 |
},
|
585 |
"eval_O": {
|
586 |
+
"f1-score": 0.922722283205269,
|
587 |
+
"precision": 0.9346230820547031,
|
588 |
+
"recall": 0.9111207457186213,
|
589 |
+
"support": 9226.0
|
590 |
},
|
591 |
+
"eval_accuracy": 0.9448930084362215,
|
592 |
+
"eval_loss": 0.3762665390968323,
|
593 |
"eval_macro avg": {
|
594 |
+
"f1-score": 0.9209540325059108,
|
595 |
+
"precision": 0.9215063078090453,
|
596 |
+
"recall": 0.920540736248361,
|
597 |
+
"support": 27619.0
|
598 |
+
},
|
599 |
+
"eval_runtime": 4.586,
|
600 |
+
"eval_samples_per_second": 17.444,
|
601 |
+
"eval_steps_per_second": 2.181,
|
602 |
"eval_weighted avg": {
|
603 |
+
"f1-score": 0.944749483712443,
|
604 |
+
"precision": 0.9447562007752335,
|
605 |
+
"recall": 0.9448930084362215,
|
606 |
+
"support": 27619.0
|
607 |
},
|
608 |
"step": 1215
|
609 |
},
|
610 |
{
|
611 |
"epoch": 16.0,
|
612 |
"eval_B": {
|
613 |
+
"f1-score": 0.8858669256920835,
|
614 |
+
"precision": 0.8976377952755905,
|
615 |
+
"recall": 0.8744007670182167,
|
616 |
+
"support": 1043.0
|
617 |
},
|
618 |
"eval_I": {
|
619 |
+
"f1-score": 0.9586212929752427,
|
620 |
+
"precision": 0.9701351590627397,
|
621 |
+
"recall": 0.9473775216138328,
|
622 |
+
"support": 17350.0
|
623 |
},
|
624 |
"eval_O": {
|
625 |
+
"f1-score": 0.9235412474849094,
|
626 |
+
"precision": 0.9027950310559006,
|
627 |
+
"recall": 0.9452633860828095,
|
628 |
+
"support": 9226.0
|
629 |
},
|
630 |
+
"eval_accuracy": 0.9439154205438285,
|
631 |
+
"eval_loss": 0.36898088455200195,
|
632 |
"eval_macro avg": {
|
633 |
+
"f1-score": 0.9226764887174118,
|
634 |
+
"precision": 0.923522661798077,
|
635 |
+
"recall": 0.922347224904953,
|
636 |
+
"support": 27619.0
|
637 |
+
},
|
638 |
+
"eval_runtime": 4.6024,
|
639 |
+
"eval_samples_per_second": 17.382,
|
640 |
+
"eval_steps_per_second": 2.173,
|
641 |
"eval_weighted avg": {
|
642 |
+
"f1-score": 0.9441554794131966,
|
643 |
+
"precision": 0.9449027186622512,
|
644 |
+
"recall": 0.9439154205438285,
|
645 |
+
"support": 27619.0
|
646 |
},
|
647 |
"step": 1296
|
648 |
},
|
649 |
{
|
650 |
"epoch": 17.0,
|
651 |
"eval_B": {
|
652 |
+
"f1-score": 0.8863309352517986,
|
653 |
+
"precision": 0.8867562380038387,
|
654 |
+
"recall": 0.8859060402684564,
|
655 |
+
"support": 1043.0
|
656 |
},
|
657 |
"eval_I": {
|
658 |
+
"f1-score": 0.9630614486386496,
|
659 |
+
"precision": 0.9659090909090909,
|
660 |
+
"recall": 0.9602305475504322,
|
661 |
+
"support": 17350.0
|
662 |
},
|
663 |
"eval_O": {
|
664 |
+
"f1-score": 0.9296685529506872,
|
665 |
+
"precision": 0.9245363918962375,
|
666 |
+
"recall": 0.9348580099718188,
|
667 |
+
"support": 9226.0
|
668 |
},
|
669 |
+
"eval_accuracy": 0.9489481878417032,
|
670 |
+
"eval_loss": 0.3569599986076355,
|
671 |
"eval_macro avg": {
|
672 |
+
"f1-score": 0.9263536456137119,
|
673 |
+
"precision": 0.9257339069363891,
|
674 |
+
"recall": 0.9269981992635691,
|
675 |
+
"support": 27619.0
|
676 |
+
},
|
677 |
+
"eval_runtime": 4.6143,
|
678 |
+
"eval_samples_per_second": 17.337,
|
679 |
+
"eval_steps_per_second": 2.167,
|
680 |
"eval_weighted avg": {
|
681 |
+
"f1-score": 0.9490090650954502,
|
682 |
+
"precision": 0.9490996138580476,
|
683 |
+
"recall": 0.9489481878417032,
|
684 |
+
"support": 27619.0
|
685 |
},
|
686 |
"step": 1377
|
687 |
},
|
688 |
{
|
689 |
"epoch": 18.0,
|
690 |
"eval_B": {
|
691 |
+
"f1-score": 0.8778409090909091,
|
692 |
+
"precision": 0.8671655753040225,
|
693 |
+
"recall": 0.8887823585810163,
|
694 |
+
"support": 1043.0
|
695 |
},
|
696 |
"eval_I": {
|
697 |
+
"f1-score": 0.9557028055829692,
|
698 |
+
"precision": 0.9355230471984544,
|
699 |
+
"recall": 0.9767723342939482,
|
700 |
+
"support": 17350.0
|
701 |
},
|
702 |
"eval_O": {
|
703 |
+
"f1-score": 0.9098012570069645,
|
704 |
+
"precision": 0.9524599881446354,
|
705 |
+
"recall": 0.8707999132885325,
|
706 |
+
"support": 9226.0
|
707 |
},
|
708 |
+
"eval_accuracy": 0.938049893189471,
|
709 |
+
"eval_loss": 0.4151785373687744,
|
710 |
"eval_macro avg": {
|
711 |
+
"f1-score": 0.9144483238936143,
|
712 |
+
"precision": 0.9183828702157042,
|
713 |
+
"recall": 0.9121182020544989,
|
714 |
+
"support": 27619.0
|
715 |
+
},
|
716 |
+
"eval_runtime": 4.6304,
|
717 |
+
"eval_samples_per_second": 17.277,
|
718 |
+
"eval_steps_per_second": 2.16,
|
719 |
"eval_weighted avg": {
|
720 |
+
"f1-score": 0.9374292386470396,
|
721 |
+
"precision": 0.9385993125948691,
|
722 |
+
"recall": 0.938049893189471,
|
723 |
+
"support": 27619.0
|
724 |
},
|
725 |
"step": 1458
|
726 |
},
|
727 |
{
|
728 |
"epoch": 18.52,
|
729 |
+
"grad_norm": 10.955327033996582,
|
730 |
"learning_rate": 1.2592592592592593e-05,
|
731 |
+
"loss": 0.0058,
|
732 |
"step": 1500
|
733 |
},
|
734 |
{
|
735 |
"epoch": 19.0,
|
736 |
"eval_B": {
|
737 |
+
"f1-score": 0.8850241545893719,
|
738 |
+
"precision": 0.8919182083739046,
|
739 |
+
"recall": 0.87823585810163,
|
740 |
+
"support": 1043.0
|
741 |
},
|
742 |
"eval_I": {
|
743 |
+
"f1-score": 0.9626489459211732,
|
744 |
+
"precision": 0.956838628857761,
|
745 |
+
"recall": 0.9685302593659942,
|
746 |
+
"support": 17350.0
|
747 |
},
|
748 |
"eval_O": {
|
749 |
+
"f1-score": 0.927475898334794,
|
750 |
+
"precision": 0.9375415282392027,
|
751 |
+
"recall": 0.9176241057879905,
|
752 |
+
"support": 9226.0
|
753 |
},
|
754 |
+
"eval_accuracy": 0.9481154277852203,
|
755 |
+
"eval_loss": 0.3719603419303894,
|
756 |
"eval_macro avg": {
|
757 |
+
"f1-score": 0.9250496662817796,
|
758 |
+
"precision": 0.9287661218236227,
|
759 |
+
"recall": 0.9214634077518715,
|
760 |
+
"support": 27619.0
|
761 |
+
},
|
762 |
+
"eval_runtime": 4.6041,
|
763 |
+
"eval_samples_per_second": 17.376,
|
764 |
+
"eval_steps_per_second": 2.172,
|
765 |
"eval_weighted avg": {
|
766 |
+
"f1-score": 0.9479681394332119,
|
767 |
+
"precision": 0.9479408755404257,
|
768 |
+
"recall": 0.9481154277852203,
|
769 |
+
"support": 27619.0
|
770 |
},
|
771 |
"step": 1539
|
772 |
},
|
773 |
{
|
774 |
"epoch": 20.0,
|
775 |
"eval_B": {
|
776 |
+
"f1-score": 0.8742857142857142,
|
777 |
+
"precision": 0.8684957426679281,
|
778 |
+
"recall": 0.8801534036433365,
|
779 |
+
"support": 1043.0
|
780 |
},
|
781 |
"eval_I": {
|
782 |
+
"f1-score": 0.9602204921293401,
|
783 |
+
"precision": 0.9469289396996189,
|
784 |
+
"recall": 0.9738904899135447,
|
785 |
+
"support": 17350.0
|
786 |
},
|
787 |
"eval_O": {
|
788 |
+
"f1-score": 0.9205305394560855,
|
789 |
+
"precision": 0.9473503097040605,
|
790 |
+
"recall": 0.8951875135486668,
|
791 |
+
"support": 9226.0
|
792 |
},
|
793 |
+
"eval_accuracy": 0.9440602483797386,
|
794 |
+
"eval_loss": 0.36765894293785095,
|
795 |
"eval_macro avg": {
|
796 |
+
"f1-score": 0.9183455819570466,
|
797 |
+
"precision": 0.9209249973572025,
|
798 |
+
"recall": 0.9164104690351826,
|
799 |
+
"support": 27619.0
|
800 |
+
},
|
801 |
+
"eval_runtime": 4.6404,
|
802 |
+
"eval_samples_per_second": 17.24,
|
803 |
+
"eval_steps_per_second": 2.155,
|
804 |
"eval_weighted avg": {
|
805 |
+
"f1-score": 0.9437170171065533,
|
806 |
+
"precision": 0.9441077562808465,
|
807 |
+
"recall": 0.9440602483797386,
|
808 |
+
"support": 27619.0
|
809 |
},
|
810 |
"step": 1620
|
811 |
},
|
812 |
{
|
813 |
"epoch": 21.0,
|
814 |
"eval_B": {
|
815 |
+
"f1-score": 0.8885767790262172,
|
816 |
+
"precision": 0.868252516010979,
|
817 |
+
"recall": 0.909875359539789,
|
818 |
+
"support": 1043.0
|
819 |
},
|
820 |
"eval_I": {
|
821 |
+
"f1-score": 0.9616143138880155,
|
822 |
+
"precision": 0.9537903271531439,
|
823 |
+
"recall": 0.9695677233429395,
|
824 |
+
"support": 17350.0
|
825 |
},
|
826 |
"eval_O": {
|
827 |
+
"f1-score": 0.9245376759591498,
|
828 |
+
"precision": 0.9420632242096973,
|
829 |
+
"recall": 0.9076522870149577,
|
830 |
+
"support": 9226.0
|
831 |
},
|
832 |
+
"eval_accuracy": 0.9466309424671422,
|
833 |
+
"eval_loss": 0.374899685382843,
|
834 |
"eval_macro avg": {
|
835 |
+
"f1-score": 0.9249095896244609,
|
836 |
+
"precision": 0.9213686891246068,
|
837 |
+
"recall": 0.9290317899658954,
|
838 |
+
"support": 27619.0
|
839 |
+
},
|
840 |
+
"eval_runtime": 4.5979,
|
841 |
+
"eval_samples_per_second": 17.399,
|
842 |
+
"eval_steps_per_second": 2.175,
|
843 |
"eval_weighted avg": {
|
844 |
+
"f1-score": 0.9464708542988716,
|
845 |
+
"precision": 0.9466427045463329,
|
846 |
+
"recall": 0.9466309424671422,
|
847 |
+
"support": 27619.0
|
848 |
},
|
849 |
"step": 1701
|
850 |
},
|
851 |
{
|
852 |
"epoch": 22.0,
|
853 |
"eval_B": {
|
854 |
+
"f1-score": 0.875898418782942,
|
855 |
+
"precision": 0.8754789272030651,
|
856 |
+
"recall": 0.8763183125599233,
|
857 |
+
"support": 1043.0
|
858 |
},
|
859 |
"eval_I": {
|
860 |
+
"f1-score": 0.9606979453806588,
|
861 |
+
"precision": 0.9475306911822412,
|
862 |
+
"recall": 0.9742363112391931,
|
863 |
+
"support": 17350.0
|
864 |
},
|
865 |
"eval_O": {
|
866 |
+
"f1-score": 0.9217236387930074,
|
867 |
+
"precision": 0.94757326007326,
|
868 |
+
"recall": 0.897246910903967,
|
869 |
+
"support": 9226.0
|
870 |
},
|
871 |
+
"eval_accuracy": 0.9448205945182664,
|
872 |
+
"eval_loss": 0.3899074196815491,
|
873 |
"eval_macro avg": {
|
874 |
+
"f1-score": 0.919440000985536,
|
875 |
+
"precision": 0.9235276261528554,
|
876 |
+
"recall": 0.9159338449010278,
|
877 |
+
"support": 27619.0
|
878 |
+
},
|
879 |
+
"eval_runtime": 4.5958,
|
880 |
+
"eval_samples_per_second": 17.407,
|
881 |
+
"eval_steps_per_second": 2.176,
|
882 |
"eval_weighted avg": {
|
883 |
+
"f1-score": 0.9444764001104068,
|
884 |
+
"precision": 0.9448239585256736,
|
885 |
+
"recall": 0.9448205945182664,
|
886 |
+
"support": 27619.0
|
887 |
},
|
888 |
"step": 1782
|
889 |
},
|
890 |
{
|
891 |
"epoch": 23.0,
|
892 |
"eval_B": {
|
893 |
+
"f1-score": 0.8766079085278704,
|
894 |
+
"precision": 0.8712121212121212,
|
895 |
+
"recall": 0.8820709491850431,
|
896 |
+
"support": 1043.0
|
897 |
},
|
898 |
"eval_I": {
|
899 |
+
"f1-score": 0.9571775605897973,
|
900 |
+
"precision": 0.9385663638378019,
|
901 |
+
"recall": 0.9765417867435159,
|
902 |
+
"support": 17350.0
|
903 |
},
|
904 |
"eval_O": {
|
905 |
+
"f1-score": 0.9132322264193494,
|
906 |
+
"precision": 0.9515920573375631,
|
907 |
+
"recall": 0.877845220030349,
|
908 |
+
"support": 9226.0
|
909 |
},
|
910 |
+
"eval_accuracy": 0.9400050689742568,
|
911 |
+
"eval_loss": 0.4506397247314453,
|
912 |
"eval_macro avg": {
|
913 |
+
"f1-score": 0.9156725651790056,
|
914 |
+
"precision": 0.9204568474624955,
|
915 |
+
"recall": 0.9121526519863027,
|
916 |
+
"support": 27619.0
|
917 |
+
},
|
918 |
+
"eval_runtime": 4.6193,
|
919 |
+
"eval_samples_per_second": 17.319,
|
920 |
+
"eval_steps_per_second": 2.165,
|
921 |
"eval_weighted avg": {
|
922 |
+
"f1-score": 0.939455202786939,
|
923 |
+
"precision": 0.9403739808105457,
|
924 |
+
"recall": 0.9400050689742568,
|
925 |
+
"support": 27619.0
|
926 |
},
|
927 |
"step": 1863
|
928 |
},
|
929 |
{
|
930 |
"epoch": 24.0,
|
931 |
"eval_B": {
|
932 |
+
"f1-score": 0.8786853552440792,
|
933 |
+
"precision": 0.8859649122807017,
|
934 |
+
"recall": 0.8715244487056567,
|
935 |
+
"support": 1043.0
|
936 |
},
|
937 |
"eval_I": {
|
938 |
+
"f1-score": 0.9558590028580501,
|
939 |
+
"precision": 0.9575452599919023,
|
940 |
+
"recall": 0.954178674351585,
|
941 |
+
"support": 17350.0
|
942 |
},
|
943 |
"eval_O": {
|
944 |
+
"f1-score": 0.9160280626011873,
|
945 |
+
"precision": 0.9121883061049011,
|
946 |
+
"recall": 0.9199002818122697,
|
947 |
+
"support": 9226.0
|
948 |
},
|
949 |
+
"eval_accuracy": 0.9396067924255042,
|
950 |
+
"eval_loss": 0.42392534017562866,
|
951 |
"eval_macro avg": {
|
952 |
+
"f1-score": 0.9168574735677723,
|
953 |
+
"precision": 0.9185661594591683,
|
954 |
+
"recall": 0.9152011349565038,
|
955 |
+
"support": 27619.0
|
956 |
+
},
|
957 |
+
"eval_runtime": 4.6242,
|
958 |
+
"eval_samples_per_second": 17.3,
|
959 |
+
"eval_steps_per_second": 2.163,
|
960 |
"eval_weighted avg": {
|
961 |
+
"f1-score": 0.9396392856607877,
|
962 |
+
"precision": 0.9396908279261412,
|
963 |
+
"recall": 0.9396067924255042,
|
964 |
+
"support": 27619.0
|
965 |
},
|
966 |
"step": 1944
|
967 |
},
|
968 |
{
|
969 |
"epoch": 24.69,
|
970 |
+
"grad_norm": 0.030169092118740082,
|
971 |
"learning_rate": 1.0123456790123458e-05,
|
972 |
+
"loss": 0.0026,
|
973 |
"step": 2000
|
974 |
},
|
975 |
{
|
976 |
"epoch": 25.0,
|
977 |
"eval_B": {
|
978 |
+
"f1-score": 0.8887832699619772,
|
979 |
+
"precision": 0.88124410933082,
|
980 |
+
"recall": 0.8964525407478428,
|
981 |
+
"support": 1043.0
|
982 |
},
|
983 |
"eval_I": {
|
984 |
+
"f1-score": 0.9607269808508199,
|
985 |
+
"precision": 0.9556860955857192,
|
986 |
+
"recall": 0.9658213256484149,
|
987 |
+
"support": 17350.0
|
988 |
},
|
989 |
"eval_O": {
|
990 |
+
"f1-score": 0.9237260273972602,
|
991 |
+
"precision": 0.9340647163120568,
|
992 |
+
"recall": 0.9136137004118795,
|
993 |
+
"support": 9226.0
|
994 |
},
|
995 |
+
"eval_accuracy": 0.9457619754516818,
|
996 |
+
"eval_loss": 0.398232638835907,
|
997 |
"eval_macro avg": {
|
998 |
+
"f1-score": 0.9244120927366858,
|
999 |
+
"precision": 0.9236649737428652,
|
1000 |
+
"recall": 0.9252958556027124,
|
1001 |
+
"support": 27619.0
|
1002 |
+
},
|
1003 |
+
"eval_runtime": 4.5953,
|
1004 |
+
"eval_samples_per_second": 17.409,
|
1005 |
+
"eval_steps_per_second": 2.176,
|
1006 |
"eval_weighted avg": {
|
1007 |
+
"f1-score": 0.9456501103261954,
|
1008 |
+
"precision": 0.9456523566073828,
|
1009 |
+
"recall": 0.9457619754516818,
|
1010 |
+
"support": 27619.0
|
1011 |
},
|
1012 |
"step": 2025
|
1013 |
},
|
1014 |
{
|
1015 |
"epoch": 26.0,
|
1016 |
"eval_B": {
|
1017 |
+
"f1-score": 0.8827717133364974,
|
1018 |
+
"precision": 0.8740601503759399,
|
1019 |
+
"recall": 0.8916586768935763,
|
1020 |
+
"support": 1043.0
|
1021 |
},
|
1022 |
"eval_I": {
|
1023 |
+
"f1-score": 0.9590283123770422,
|
1024 |
+
"precision": 0.9489364103142809,
|
1025 |
+
"recall": 0.9693371757925072,
|
1026 |
+
"support": 17350.0
|
1027 |
},
|
1028 |
"eval_O": {
|
1029 |
+
"f1-score": 0.9188171447557869,
|
1030 |
+
"precision": 0.9393115942028986,
|
1031 |
+
"recall": 0.8991979189247779,
|
1032 |
+
"support": 9226.0
|
1033 |
},
|
1034 |
+
"eval_accuracy": 0.9429740396104132,
|
1035 |
+
"eval_loss": 0.4066696763038635,
|
1036 |
"eval_macro avg": {
|
1037 |
+
"f1-score": 0.9202057234897755,
|
1038 |
+
"precision": 0.9207693849643731,
|
1039 |
+
"recall": 0.9200645905369539,
|
1040 |
+
"support": 27619.0
|
1041 |
+
},
|
1042 |
+
"eval_runtime": 4.6361,
|
1043 |
+
"eval_samples_per_second": 17.256,
|
1044 |
+
"eval_steps_per_second": 2.157,
|
1045 |
"eval_weighted avg": {
|
1046 |
+
"f1-score": 0.9427162132687112,
|
1047 |
+
"precision": 0.942893668268613,
|
1048 |
+
"recall": 0.9429740396104132,
|
1049 |
+
"support": 27619.0
|
1050 |
},
|
1051 |
"step": 2106
|
1052 |
},
|
1053 |
{
|
1054 |
"epoch": 27.0,
|
1055 |
"eval_B": {
|
1056 |
+
"f1-score": 0.8731307284129282,
|
1057 |
+
"precision": 0.8786407766990292,
|
1058 |
+
"recall": 0.8676893576222435,
|
1059 |
+
"support": 1043.0
|
1060 |
},
|
1061 |
"eval_I": {
|
1062 |
+
"f1-score": 0.9568967963451661,
|
1063 |
+
"precision": 0.9424291543234028,
|
1064 |
+
"recall": 0.9718155619596541,
|
1065 |
+
"support": 17350.0
|
1066 |
},
|
1067 |
"eval_O": {
|
1068 |
+
"f1-score": 0.9140816781968311,
|
1069 |
+
"precision": 0.9418257070590941,
|
1070 |
+
"recall": 0.8879254281378712,
|
1071 |
+
"support": 9226.0
|
1072 |
},
|
1073 |
+
"eval_accuracy": 0.9398602411383468,
|
1074 |
+
"eval_loss": 0.44146138429641724,
|
1075 |
"eval_macro avg": {
|
1076 |
+
"f1-score": 0.9147030676516418,
|
1077 |
+
"precision": 0.920965212693842,
|
1078 |
+
"recall": 0.9091434492399229,
|
1079 |
+
"support": 27619.0
|
1080 |
+
},
|
1081 |
+
"eval_runtime": 4.6584,
|
1082 |
+
"eval_samples_per_second": 17.173,
|
1083 |
+
"eval_steps_per_second": 2.147,
|
1084 |
"eval_weighted avg": {
|
1085 |
+
"f1-score": 0.9394312730137688,
|
1086 |
+
"precision": 0.9398186802902107,
|
1087 |
+
"recall": 0.9398602411383468,
|
1088 |
+
"support": 27619.0
|
1089 |
},
|
1090 |
"step": 2187
|
1091 |
},
|
1092 |
{
|
1093 |
"epoch": 28.0,
|
1094 |
"eval_B": {
|
1095 |
+
"f1-score": 0.8846153846153846,
|
1096 |
+
"precision": 0.8871745419479267,
|
1097 |
+
"recall": 0.8820709491850431,
|
1098 |
+
"support": 1043.0
|
1099 |
},
|
1100 |
"eval_I": {
|
1101 |
+
"f1-score": 0.9619680394066098,
|
1102 |
+
"precision": 0.9559995446265938,
|
1103 |
+
"recall": 0.9680115273775216,
|
1104 |
+
"support": 17350.0
|
1105 |
},
|
1106 |
"eval_O": {
|
1107 |
+
"f1-score": 0.9258771929824562,
|
1108 |
+
"precision": 0.9367650321721767,
|
1109 |
+
"recall": 0.9152395404292217,
|
1110 |
+
"support": 9226.0
|
1111 |
},
|
1112 |
+
"eval_accuracy": 0.9471378398928274,
|
1113 |
+
"eval_loss": 0.4067588746547699,
|
1114 |
"eval_macro avg": {
|
1115 |
+
"f1-score": 0.9241535390014834,
|
1116 |
+
"precision": 0.9266463729155657,
|
1117 |
+
"recall": 0.9217740056639289,
|
1118 |
+
"support": 27619.0
|
1119 |
+
},
|
1120 |
+
"eval_runtime": 4.6224,
|
1121 |
+
"eval_samples_per_second": 17.307,
|
1122 |
+
"eval_steps_per_second": 2.163,
|
1123 |
"eval_weighted avg": {
|
1124 |
+
"f1-score": 0.9469909233612611,
|
1125 |
+
"precision": 0.9469752465094172,
|
1126 |
+
"recall": 0.9471378398928274,
|
1127 |
+
"support": 27619.0
|
1128 |
},
|
1129 |
"step": 2268
|
1130 |
},
|
1131 |
{
|
1132 |
"epoch": 29.0,
|
1133 |
"eval_B": {
|
1134 |
+
"f1-score": 0.8919301557338367,
|
1135 |
+
"precision": 0.8782527881040892,
|
1136 |
+
"recall": 0.9060402684563759,
|
1137 |
+
"support": 1043.0
|
1138 |
},
|
1139 |
"eval_I": {
|
1140 |
+
"f1-score": 0.964135443798838,
|
1141 |
+
"precision": 0.9576391652925457,
|
1142 |
+
"recall": 0.9707204610951009,
|
1143 |
+
"support": 17350.0
|
1144 |
},
|
1145 |
"eval_O": {
|
1146 |
+
"f1-score": 0.9300406995930042,
|
1147 |
+
"precision": 0.944059848146494,
|
1148 |
+
"recall": 0.9164318231086062,
|
1149 |
+
"support": 9226.0
|
1150 |
},
|
1151 |
+
"eval_accuracy": 0.9501430174879612,
|
1152 |
+
"eval_loss": 0.4006032943725586,
|
1153 |
"eval_macro avg": {
|
1154 |
+
"f1-score": 0.9287020997085597,
|
1155 |
+
"precision": 0.9266506005143763,
|
1156 |
+
"recall": 0.9310641842200277,
|
1157 |
+
"support": 27619.0
|
1158 |
+
},
|
1159 |
+
"eval_runtime": 4.5962,
|
1160 |
+
"eval_samples_per_second": 17.406,
|
1161 |
+
"eval_steps_per_second": 2.176,
|
1162 |
"eval_weighted avg": {
|
1163 |
+
"f1-score": 0.9500195009517102,
|
1164 |
+
"precision": 0.9501051209246456,
|
1165 |
+
"recall": 0.9501430174879612,
|
1166 |
+
"support": 27619.0
|
1167 |
},
|
1168 |
"step": 2349
|
1169 |
},
|
1170 |
{
|
1171 |
"epoch": 30.0,
|
1172 |
"eval_B": {
|
1173 |
+
"f1-score": 0.8796956728483118,
|
1174 |
+
"precision": 0.8726415094339622,
|
1175 |
+
"recall": 0.8868648130393096,
|
1176 |
+
"support": 1043.0
|
1177 |
},
|
1178 |
"eval_I": {
|
1179 |
+
"f1-score": 0.9600954979536152,
|
1180 |
+
"precision": 0.947067399349557,
|
1181 |
+
"recall": 0.9734870317002882,
|
1182 |
+
"support": 17350.0
|
1183 |
},
|
1184 |
"eval_O": {
|
1185 |
+
"f1-score": 0.9212857222438862,
|
1186 |
+
"precision": 0.9477363896848138,
|
1187 |
+
"recall": 0.8962714068935617,
|
1188 |
+
"support": 9226.0
|
1189 |
},
|
1190 |
+
"eval_accuracy": 0.9444223179695137,
|
1191 |
+
"eval_loss": 0.46608424186706543,
|
1192 |
"eval_macro avg": {
|
1193 |
+
"f1-score": 0.9203589643486044,
|
1194 |
+
"precision": 0.922481766156111,
|
1195 |
+
"recall": 0.9188744172110531,
|
1196 |
+
"support": 27619.0
|
1197 |
+
},
|
1198 |
+
"eval_runtime": 4.5968,
|
1199 |
+
"eval_samples_per_second": 17.403,
|
1200 |
+
"eval_steps_per_second": 2.175,
|
1201 |
"eval_weighted avg": {
|
1202 |
+
"f1-score": 0.9440950631702127,
|
1203 |
+
"precision": 0.9444802637418637,
|
1204 |
+
"recall": 0.9444223179695137,
|
1205 |
+
"support": 27619.0
|
1206 |
},
|
1207 |
"step": 2430
|
1208 |
},
|
1209 |
{
|
1210 |
"epoch": 30.86,
|
1211 |
+
"grad_norm": 0.0009192481520585716,
|
1212 |
"learning_rate": 7.654320987654322e-06,
|
1213 |
+
"loss": 0.0015,
|
1214 |
"step": 2500
|
1215 |
},
|
1216 |
{
|
1217 |
"epoch": 31.0,
|
1218 |
"eval_B": {
|
1219 |
+
"f1-score": 0.8760724499523355,
|
1220 |
+
"precision": 0.8710900473933649,
|
1221 |
+
"recall": 0.8811121764141898,
|
1222 |
+
"support": 1043.0
|
1223 |
},
|
1224 |
"eval_I": {
|
1225 |
+
"f1-score": 0.9596285601041844,
|
1226 |
+
"precision": 0.9430224794124193,
|
1227 |
+
"recall": 0.9768299711815562,
|
1228 |
+
"support": 17350.0
|
1229 |
},
|
1230 |
"eval_O": {
|
1231 |
+
"f1-score": 0.9194073408912335,
|
1232 |
+
"precision": 0.953328677839851,
|
1233 |
+
"recall": 0.8878170388033817,
|
1234 |
+
"support": 9226.0
|
1235 |
},
|
1236 |
+
"eval_accuracy": 0.9434809370360984,
|
1237 |
+
"eval_loss": 0.48370352387428284,
|
1238 |
"eval_macro avg": {
|
1239 |
+
"f1-score": 0.9183694503159178,
|
1240 |
+
"precision": 0.9224804015485452,
|
1241 |
+
"recall": 0.9152530621330426,
|
1242 |
+
"support": 27619.0
|
1243 |
+
},
|
1244 |
+
"eval_runtime": 4.6119,
|
1245 |
+
"eval_samples_per_second": 17.347,
|
1246 |
+
"eval_steps_per_second": 2.168,
|
1247 |
"eval_weighted avg": {
|
1248 |
+
"f1-score": 0.943037445605214,
|
1249 |
+
"precision": 0.9437487714612122,
|
1250 |
+
"recall": 0.9434809370360984,
|
1251 |
+
"support": 27619.0
|
1252 |
},
|
1253 |
"step": 2511
|
1254 |
},
|
1255 |
{
|
1256 |
"epoch": 32.0,
|
1257 |
"eval_B": {
|
1258 |
+
"f1-score": 0.8770764119601329,
|
1259 |
+
"precision": 0.868421052631579,
|
1260 |
+
"recall": 0.8859060402684564,
|
1261 |
+
"support": 1043.0
|
1262 |
},
|
1263 |
"eval_I": {
|
1264 |
+
"f1-score": 0.9595270577535243,
|
1265 |
+
"precision": 0.9465066726477515,
|
1266 |
+
"recall": 0.9729106628242075,
|
1267 |
+
"support": 17350.0
|
1268 |
},
|
1269 |
"eval_O": {
|
1270 |
+
"f1-score": 0.919819468434836,
|
1271 |
+
"precision": 0.9464510950579063,
|
1272 |
+
"recall": 0.8946455668762194,
|
1273 |
+
"support": 9226.0
|
1274 |
},
|
1275 |
+
"eval_accuracy": 0.9434809370360984,
|
1276 |
+
"eval_loss": 0.4701555371284485,
|
1277 |
"eval_macro avg": {
|
1278 |
+
"f1-score": 0.9188076460494976,
|
1279 |
+
"precision": 0.9204596067790788,
|
1280 |
+
"recall": 0.9178207566562945,
|
1281 |
+
"support": 27619.0
|
1282 |
+
},
|
1283 |
+
"eval_runtime": 4.6158,
|
1284 |
+
"eval_samples_per_second": 17.332,
|
1285 |
+
"eval_steps_per_second": 2.166,
|
1286 |
"eval_weighted avg": {
|
1287 |
+
"f1-score": 0.943149265559139,
|
1288 |
+
"precision": 0.9435392929265168,
|
1289 |
+
"recall": 0.9434809370360984,
|
1290 |
+
"support": 27619.0
|
1291 |
},
|
1292 |
"step": 2592
|
1293 |
},
|
1294 |
{
|
1295 |
"epoch": 33.0,
|
1296 |
"eval_B": {
|
1297 |
+
"f1-score": 0.8849976336961666,
|
1298 |
+
"precision": 0.8738317757009346,
|
1299 |
+
"recall": 0.8964525407478428,
|
1300 |
+
"support": 1043.0
|
1301 |
},
|
1302 |
"eval_I": {
|
1303 |
+
"f1-score": 0.9615693472524951,
|
1304 |
+
"precision": 0.9569585569128896,
|
1305 |
+
"recall": 0.9662247838616714,
|
1306 |
+
"support": 17350.0
|
1307 |
},
|
1308 |
"eval_O": {
|
1309 |
+
"f1-score": 0.9260009859232076,
|
1310 |
+
"precision": 0.9359982283246595,
|
1311 |
+
"recall": 0.9162150444396271,
|
1312 |
+
"support": 9226.0
|
1313 |
},
|
1314 |
+
"eval_accuracy": 0.9468843911799848,
|
1315 |
+
"eval_loss": 0.4380284249782562,
|
1316 |
"eval_macro avg": {
|
1317 |
+
"f1-score": 0.9241893222906231,
|
1318 |
+
"precision": 0.9222628536461612,
|
1319 |
+
"recall": 0.9262974563497138,
|
1320 |
+
"support": 27619.0
|
1321 |
+
},
|
1322 |
+
"eval_runtime": 4.5881,
|
1323 |
+
"eval_samples_per_second": 17.436,
|
1324 |
+
"eval_steps_per_second": 2.18,
|
1325 |
"eval_weighted avg": {
|
1326 |
+
"f1-score": 0.9467962563055651,
|
1327 |
+
"precision": 0.946817667512148,
|
1328 |
+
"recall": 0.9468843911799848,
|
1329 |
+
"support": 27619.0
|
1330 |
},
|
1331 |
"step": 2673
|
1332 |
},
|
1333 |
{
|
1334 |
"epoch": 34.0,
|
1335 |
"eval_B": {
|
1336 |
+
"f1-score": 0.8833652007648184,
|
1337 |
+
"precision": 0.880838894184938,
|
1338 |
+
"recall": 0.8859060402684564,
|
1339 |
+
"support": 1043.0
|
1340 |
},
|
1341 |
"eval_I": {
|
1342 |
+
"f1-score": 0.9618386073235572,
|
1343 |
+
"precision": 0.9541201156921681,
|
1344 |
+
"recall": 0.9696829971181556,
|
1345 |
+
"support": 17350.0
|
1346 |
},
|
1347 |
"eval_O": {
|
1348 |
+
"f1-score": 0.9257281286131146,
|
1349 |
+
"precision": 0.9406959829920555,
|
1350 |
+
"recall": 0.9112291350531108,
|
1351 |
+
"support": 9226.0
|
1352 |
},
|
1353 |
+
"eval_accuracy": 0.9469930120569173,
|
1354 |
+
"eval_loss": 0.4419035315513611,
|
1355 |
"eval_macro avg": {
|
1356 |
+
"f1-score": 0.9236439789004968,
|
1357 |
+
"precision": 0.9252183309563873,
|
1358 |
+
"recall": 0.9222727241465742,
|
1359 |
+
"support": 27619.0
|
1360 |
+
},
|
1361 |
+
"eval_runtime": 4.6449,
|
1362 |
+
"eval_samples_per_second": 17.223,
|
1363 |
+
"eval_steps_per_second": 2.153,
|
1364 |
"eval_weighted avg": {
|
1365 |
+
"f1-score": 0.9468126092923719,
|
1366 |
+
"precision": 0.9468684642086502,
|
1367 |
+
"recall": 0.9469930120569173,
|
1368 |
+
"support": 27619.0
|
1369 |
},
|
1370 |
"step": 2754
|
1371 |
},
|
1372 |
{
|
1373 |
"epoch": 35.0,
|
1374 |
"eval_B": {
|
1375 |
+
"f1-score": 0.8785405664906385,
|
1376 |
+
"precision": 0.8798076923076923,
|
1377 |
+
"recall": 0.8772770853307766,
|
1378 |
+
"support": 1043.0
|
1379 |
},
|
1380 |
"eval_I": {
|
1381 |
+
"f1-score": 0.9603404255319149,
|
1382 |
+
"precision": 0.945586592178771,
|
1383 |
+
"recall": 0.9755619596541787,
|
1384 |
+
"support": 17350.0
|
1385 |
},
|
1386 |
"eval_O": {
|
1387 |
+
"f1-score": 0.9217537000837756,
|
1388 |
+
"precision": 0.9508007835004033,
|
1389 |
+
"recall": 0.8944287882072404,
|
1390 |
+
"support": 9226.0
|
1391 |
},
|
1392 |
+
"eval_accuracy": 0.9447481806003114,
|
1393 |
+
"eval_loss": 0.4607029855251312,
|
1394 |
"eval_macro avg": {
|
1395 |
+
"f1-score": 0.920211564035443,
|
1396 |
+
"precision": 0.9253983559956221,
|
1397 |
+
"recall": 0.9157559443973985,
|
1398 |
+
"support": 27619.0
|
1399 |
+
},
|
1400 |
+
"eval_runtime": 4.595,
|
1401 |
+
"eval_samples_per_second": 17.41,
|
1402 |
+
"eval_steps_per_second": 2.176,
|
1403 |
"eval_weighted avg": {
|
1404 |
+
"f1-score": 0.9443616289800995,
|
1405 |
+
"precision": 0.9448443037746955,
|
1406 |
+
"recall": 0.9447481806003114,
|
1407 |
+
"support": 27619.0
|
1408 |
},
|
1409 |
"step": 2835
|
1410 |
},
|
1411 |
{
|
1412 |
"epoch": 36.0,
|
1413 |
"eval_B": {
|
1414 |
+
"f1-score": 0.8802714493456132,
|
1415 |
+
"precision": 0.8901960784313725,
|
1416 |
+
"recall": 0.8705656759348035,
|
1417 |
+
"support": 1043.0
|
1418 |
},
|
1419 |
"eval_I": {
|
1420 |
+
"f1-score": 0.9600229918091681,
|
1421 |
+
"precision": 0.9574089997133849,
|
1422 |
+
"recall": 0.9626512968299712,
|
1423 |
+
"support": 17350.0
|
1424 |
},
|
1425 |
"eval_O": {
|
1426 |
+
"f1-score": 0.9233949945593034,
|
1427 |
+
"precision": 0.9270264365304784,
|
1428 |
+
"recall": 0.9197918924777801,
|
1429 |
+
"support": 9226.0
|
1430 |
},
|
1431 |
+
"eval_accuracy": 0.9448568014772439,
|
1432 |
+
"eval_loss": 0.44131579995155334,
|
1433 |
"eval_macro avg": {
|
1434 |
+
"f1-score": 0.9212298119046949,
|
1435 |
+
"precision": 0.924877171558412,
|
1436 |
+
"recall": 0.9176696217475183,
|
1437 |
+
"support": 27619.0
|
1438 |
+
},
|
1439 |
+
"eval_runtime": 4.6044,
|
1440 |
+
"eval_samples_per_second": 17.375,
|
1441 |
+
"eval_steps_per_second": 2.172,
|
1442 |
"eval_weighted avg": {
|
1443 |
+
"f1-score": 0.944775851745562,
|
1444 |
+
"precision": 0.9447216249053674,
|
1445 |
+
"recall": 0.9448568014772439,
|
1446 |
+
"support": 27619.0
|
1447 |
},
|
1448 |
"step": 2916
|
1449 |
},
|
1450 |
{
|
1451 |
"epoch": 37.0,
|
1452 |
"eval_B": {
|
1453 |
+
"f1-score": 0.8851513695338779,
|
1454 |
+
"precision": 0.8872832369942196,
|
1455 |
+
"recall": 0.8830297219558965,
|
1456 |
+
"support": 1043.0
|
1457 |
},
|
1458 |
"eval_I": {
|
1459 |
+
"f1-score": 0.9621385956860945,
|
1460 |
+
"precision": 0.9576338928856915,
|
1461 |
+
"recall": 0.966685878962536,
|
1462 |
+
"support": 17350.0
|
1463 |
},
|
1464 |
"eval_O": {
|
1465 |
+
"f1-score": 0.9272399278412508,
|
1466 |
+
"precision": 0.9353700231609132,
|
1467 |
+
"recall": 0.9192499458053327,
|
1468 |
+
"support": 9226.0
|
1469 |
},
|
1470 |
+
"eval_accuracy": 0.9476809442774902,
|
1471 |
+
"eval_loss": 0.4391210675239563,
|
1472 |
"eval_macro avg": {
|
1473 |
+
"f1-score": 0.9248432976870743,
|
1474 |
+
"precision": 0.9267623843469414,
|
1475 |
+
"recall": 0.9229885155745885,
|
1476 |
+
"support": 27619.0
|
1477 |
+
},
|
1478 |
+
"eval_runtime": 4.6195,
|
1479 |
+
"eval_samples_per_second": 17.318,
|
1480 |
+
"eval_steps_per_second": 2.165,
|
1481 |
"eval_weighted avg": {
|
1482 |
+
"f1-score": 0.9475735214106575,
|
1483 |
+
"precision": 0.9475400373450994,
|
1484 |
+
"recall": 0.9476809442774902,
|
1485 |
+
"support": 27619.0
|
1486 |
},
|
1487 |
"step": 2997
|
1488 |
},
|
1489 |
{
|
1490 |
"epoch": 37.04,
|
1491 |
+
"grad_norm": 0.36456331610679626,
|
1492 |
"learning_rate": 5.185185185185185e-06,
|
1493 |
+
"loss": 0.0012,
|
1494 |
"step": 3000
|
1495 |
},
|
1496 |
{
|
1497 |
"epoch": 38.0,
|
1498 |
"eval_B": {
|
1499 |
+
"f1-score": 0.8848715509039011,
|
1500 |
+
"precision": 0.8781869688385269,
|
1501 |
+
"recall": 0.8916586768935763,
|
1502 |
+
"support": 1043.0
|
1503 |
},
|
1504 |
"eval_I": {
|
1505 |
+
"f1-score": 0.9604875396984349,
|
1506 |
+
"precision": 0.9536389977842168,
|
1507 |
+
"recall": 0.9674351585014409,
|
1508 |
+
"support": 17350.0
|
1509 |
},
|
1510 |
"eval_O": {
|
1511 |
+
"f1-score": 0.9237283475391805,
|
1512 |
+
"precision": 0.9374930237749749,
|
1513 |
+
"recall": 0.9103620203771949,
|
1514 |
+
"support": 9226.0
|
1515 |
},
|
1516 |
+
"eval_accuracy": 0.9455085267388392,
|
1517 |
+
"eval_loss": 0.43638840317726135,
|
1518 |
"eval_macro avg": {
|
1519 |
+
"f1-score": 0.9230291460471722,
|
1520 |
+
"precision": 0.9231063301325729,
|
1521 |
+
"recall": 0.9231519519240706,
|
1522 |
+
"support": 27619.0
|
1523 |
+
},
|
1524 |
+
"eval_runtime": 4.6165,
|
1525 |
+
"eval_samples_per_second": 17.329,
|
1526 |
+
"eval_steps_per_second": 2.166,
|
1527 |
"eval_weighted avg": {
|
1528 |
+
"f1-score": 0.9453527490407726,
|
1529 |
+
"precision": 0.9453961496579408,
|
1530 |
+
"recall": 0.9455085267388392,
|
1531 |
+
"support": 27619.0
|
1532 |
},
|
1533 |
"step": 3078
|
1534 |
},
|
1535 |
{
|
1536 |
"epoch": 39.0,
|
1537 |
"eval_B": {
|
1538 |
+
"f1-score": 0.8896321070234113,
|
1539 |
+
"precision": 0.8866666666666667,
|
1540 |
+
"recall": 0.8926174496644296,
|
1541 |
+
"support": 1043.0
|
1542 |
},
|
1543 |
"eval_I": {
|
1544 |
+
"f1-score": 0.9625824964131994,
|
1545 |
+
"precision": 0.9584571428571429,
|
1546 |
+
"recall": 0.9667435158501441,
|
1547 |
+
"support": 17350.0
|
1548 |
},
|
1549 |
"eval_O": {
|
1550 |
+
"f1-score": 0.9277944793659471,
|
1551 |
+
"precision": 0.9358253390671518,
|
1552 |
+
"recall": 0.9199002818122697,
|
1553 |
+
"support": 9226.0
|
1554 |
},
|
1555 |
+
"eval_accuracy": 0.9482964625801079,
|
1556 |
+
"eval_loss": 0.44264644384384155,
|
1557 |
"eval_macro avg": {
|
1558 |
+
"f1-score": 0.9266696942675193,
|
1559 |
+
"precision": 0.9269830495303205,
|
1560 |
+
"recall": 0.9264204157756145,
|
1561 |
+
"support": 27619.0
|
1562 |
+
},
|
1563 |
+
"eval_runtime": 4.6185,
|
1564 |
+
"eval_samples_per_second": 17.322,
|
1565 |
+
"eval_steps_per_second": 2.165,
|
1566 |
"eval_weighted avg": {
|
1567 |
+
"f1-score": 0.9482068310592221,
|
1568 |
+
"precision": 0.9481860074636412,
|
1569 |
+
"recall": 0.9482964625801079,
|
1570 |
+
"support": 27619.0
|
1571 |
},
|
1572 |
"step": 3159
|
1573 |
},
|
1574 |
{
|
1575 |
"epoch": 40.0,
|
1576 |
"eval_B": {
|
1577 |
+
"f1-score": 0.8865485878410723,
|
1578 |
+
"precision": 0.8852772466539197,
|
1579 |
+
"recall": 0.887823585810163,
|
1580 |
+
"support": 1043.0
|
1581 |
},
|
1582 |
"eval_I": {
|
1583 |
+
"f1-score": 0.9624967964233846,
|
1584 |
+
"precision": 0.9512016660100185,
|
1585 |
+
"recall": 0.9740634005763689,
|
1586 |
+
"support": 17350.0
|
1587 |
},
|
1588 |
"eval_O": {
|
1589 |
+
"f1-score": 0.9265749778172139,
|
1590 |
+
"precision": 0.9486713604360664,
|
1591 |
+
"recall": 0.905484500325168,
|
1592 |
+
"support": 9226.0
|
1593 |
},
|
1594 |
+
"eval_accuracy": 0.9478981860313552,
|
1595 |
+
"eval_loss": 0.4583560824394226,
|
1596 |
"eval_macro avg": {
|
1597 |
+
"f1-score": 0.925206787360557,
|
1598 |
+
"precision": 0.9283834243666682,
|
1599 |
+
"recall": 0.9224571622372332,
|
1600 |
+
"support": 27619.0
|
1601 |
+
},
|
1602 |
+
"eval_runtime": 4.643,
|
1603 |
+
"eval_samples_per_second": 17.23,
|
1604 |
+
"eval_steps_per_second": 2.154,
|
1605 |
"eval_weighted avg": {
|
1606 |
+
"f1-score": 0.9476291806512029,
|
1607 |
+
"precision": 0.947866868638148,
|
1608 |
+
"recall": 0.9478981860313552,
|
1609 |
+
"support": 27619.0
|
1610 |
},
|
1611 |
"step": 3240
|
1612 |
}
|
|
|
1616 |
"num_input_tokens_seen": 0,
|
1617 |
"num_train_epochs": 50,
|
1618 |
"save_steps": 500,
|
1619 |
+
"total_flos": 5751466109424000.0,
|
1620 |
"train_batch_size": 4,
|
1621 |
"trial_name": null,
|
1622 |
"trial_params": null
|
checkpoint-3240/training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4856
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:821ca433db9ddb761291ab61fc06d651ad248cd9d560cdb25f7f905e5aaff14e
|
3 |
size 4856
|