Theoreticallyhugo
commited on
Commit
•
8b8e515
1
Parent(s):
666f146
Training in progress, epoch 25, checkpoint
Browse files
checkpoint-2025/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 sha256:1b73f56b1847d35e71764267aa752fab14522e8c144c15b31942410c51fe4ab8
|
3 |
size 592318676
|
checkpoint-2025/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 sha256:1f72969164ec760bf1a013784733075b1bc959441bf68ab754ddf4514861fc46
|
3 |
size 1014645498
|
checkpoint-2025/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 sha256:3f9321bc11ea6bca18575e8269cfc17c24700dfe4e6bb3c56fb55d02fcde9a55
|
3 |
size 14244
|
checkpoint-2025/trainer_state.json
CHANGED
@@ -11,1003 +11,1003 @@
|
|
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": 17.
|
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": 17.
|
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": 17.
|
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": 17.
|
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": 17.
|
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": 17.
|
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": 17.
|
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 |
}
|
@@ -1017,7 +1017,7 @@
|
|
1017 |
"num_input_tokens_seen": 0,
|
1018 |
"num_train_epochs": 50,
|
1019 |
"save_steps": 500,
|
1020 |
-
"total_flos":
|
1021 |
"train_batch_size": 4,
|
1022 |
"trial_name": null,
|
1023 |
"trial_params": null
|
|
|
11 |
{
|
12 |
"epoch": 1.0,
|
13 |
"eval_B": {
|
14 |
+
"f1-score": 0.8266764382557715,
|
15 |
+
"precision": 0.7866108786610879,
|
16 |
+
"recall": 0.871042471042471,
|
17 |
+
"support": 1295.0
|
18 |
},
|
19 |
"eval_I": {
|
20 |
+
"f1-score": 0.9410658617447671,
|
21 |
+
"precision": 0.9344077040239768,
|
22 |
+
"recall": 0.9478195863443808,
|
23 |
+
"support": 20065.0
|
24 |
},
|
25 |
"eval_O": {
|
26 |
+
"f1-score": 0.8562443302086484,
|
27 |
+
"precision": 0.8789421405512788,
|
28 |
+
"recall": 0.8346893055064262,
|
29 |
+
"support": 8481.0
|
30 |
},
|
31 |
+
"eval_accuracy": 0.912335377500754,
|
32 |
+
"eval_loss": 0.2450982630252838,
|
33 |
"eval_macro avg": {
|
34 |
+
"f1-score": 0.8746622100697291,
|
35 |
+
"precision": 0.8666535744121145,
|
36 |
+
"recall": 0.8845171209644261,
|
37 |
+
"support": 29841.0
|
38 |
+
},
|
39 |
+
"eval_runtime": 4.6269,
|
40 |
+
"eval_samples_per_second": 17.29,
|
41 |
+
"eval_steps_per_second": 2.161,
|
42 |
"eval_weighted avg": {
|
43 |
+
"f1-score": 0.9119949287205363,
|
44 |
+
"precision": 0.9122301519092053,
|
45 |
+
"recall": 0.912335377500754,
|
46 |
+
"support": 29841.0
|
47 |
},
|
48 |
"step": 81
|
49 |
},
|
50 |
{
|
51 |
"epoch": 2.0,
|
52 |
"eval_B": {
|
53 |
+
"f1-score": 0.8833395452851286,
|
54 |
+
"precision": 0.8537463976945245,
|
55 |
+
"recall": 0.915057915057915,
|
56 |
+
"support": 1295.0
|
57 |
},
|
58 |
"eval_I": {
|
59 |
+
"f1-score": 0.9549518227873249,
|
60 |
+
"precision": 0.9516903430183636,
|
61 |
+
"recall": 0.958235733864939,
|
62 |
+
"support": 20065.0
|
63 |
},
|
64 |
"eval_O": {
|
65 |
+
"f1-score": 0.88924750463212,
|
66 |
+
"precision": 0.9016969696969697,
|
67 |
+
"recall": 0.877137130055418,
|
68 |
+
"support": 8481.0
|
69 |
},
|
70 |
+
"eval_accuracy": 0.9333132267685399,
|
71 |
+
"eval_loss": 0.20076116919517517,
|
72 |
"eval_macro avg": {
|
73 |
+
"f1-score": 0.9091796242348579,
|
74 |
+
"precision": 0.9023779034699526,
|
75 |
+
"recall": 0.916810259659424,
|
76 |
+
"support": 29841.0
|
77 |
+
},
|
78 |
+
"eval_runtime": 4.6524,
|
79 |
+
"eval_samples_per_second": 17.195,
|
80 |
+
"eval_steps_per_second": 2.149,
|
81 |
"eval_weighted avg": {
|
82 |
+
"f1-score": 0.9331705077630417,
|
83 |
+
"precision": 0.9332314707173981,
|
84 |
+
"recall": 0.9333132267685399,
|
85 |
+
"support": 29841.0
|
86 |
},
|
87 |
"step": 162
|
88 |
},
|
89 |
{
|
90 |
"epoch": 3.0,
|
91 |
"eval_B": {
|
92 |
+
"f1-score": 0.8927335640138409,
|
93 |
+
"precision": 0.8889739663093414,
|
94 |
+
"recall": 0.8965250965250965,
|
95 |
+
"support": 1295.0
|
96 |
},
|
97 |
"eval_I": {
|
98 |
+
"f1-score": 0.9590235396687009,
|
99 |
+
"precision": 0.9586653386454184,
|
100 |
+
"recall": 0.9593820084724645,
|
101 |
+
"support": 20065.0
|
102 |
},
|
103 |
"eval_O": {
|
104 |
+
"f1-score": 0.9006849315068494,
|
105 |
+
"precision": 0.9020697811945594,
|
106 |
+
"recall": 0.8993043273198915,
|
107 |
+
"support": 8481.0
|
108 |
},
|
109 |
+
"eval_accuracy": 0.9395797727958178,
|
110 |
+
"eval_loss": 0.19863653182983398,
|
111 |
"eval_macro avg": {
|
112 |
+
"f1-score": 0.9174806783964637,
|
113 |
+
"precision": 0.9165696953831063,
|
114 |
+
"recall": 0.9184038107724842,
|
115 |
+
"support": 29841.0
|
116 |
+
},
|
117 |
+
"eval_runtime": 4.655,
|
118 |
+
"eval_samples_per_second": 17.186,
|
119 |
+
"eval_steps_per_second": 2.148,
|
120 |
"eval_weighted avg": {
|
121 |
+
"f1-score": 0.9395665759512081,
|
122 |
+
"precision": 0.9395561516236713,
|
123 |
+
"recall": 0.9395797727958178,
|
124 |
+
"support": 29841.0
|
125 |
},
|
126 |
"step": 243
|
127 |
},
|
128 |
{
|
129 |
"epoch": 4.0,
|
130 |
"eval_B": {
|
131 |
+
"f1-score": 0.8999616711383672,
|
132 |
+
"precision": 0.893455098934551,
|
133 |
+
"recall": 0.9065637065637066,
|
134 |
+
"support": 1295.0
|
135 |
},
|
136 |
"eval_I": {
|
137 |
+
"f1-score": 0.9612657113512985,
|
138 |
+
"precision": 0.9436362763454799,
|
139 |
+
"recall": 0.9795664091701969,
|
140 |
+
"support": 20065.0
|
141 |
},
|
142 |
"eval_O": {
|
143 |
+
"f1-score": 0.8996847765622102,
|
144 |
+
"precision": 0.9454403741231489,
|
145 |
+
"recall": 0.8581535196321188,
|
146 |
+
"support": 8481.0
|
147 |
},
|
148 |
+
"eval_accuracy": 0.9418920277470594,
|
149 |
+
"eval_loss": 0.19743724167346954,
|
150 |
"eval_macro avg": {
|
151 |
+
"f1-score": 0.920304053017292,
|
152 |
+
"precision": 0.9275105831343932,
|
153 |
+
"recall": 0.9147612117886741,
|
154 |
+
"support": 29841.0
|
155 |
+
},
|
156 |
+
"eval_runtime": 4.6615,
|
157 |
+
"eval_samples_per_second": 17.162,
|
158 |
+
"eval_steps_per_second": 2.145,
|
159 |
"eval_weighted avg": {
|
160 |
+
"f1-score": 0.9411036309913238,
|
161 |
+
"precision": 0.9419713163409645,
|
162 |
+
"recall": 0.9418920277470594,
|
163 |
+
"support": 29841.0
|
164 |
},
|
165 |
"step": 324
|
166 |
},
|
167 |
{
|
168 |
"epoch": 5.0,
|
169 |
"eval_B": {
|
170 |
+
"f1-score": 0.8953846153846153,
|
171 |
+
"precision": 0.8919540229885058,
|
172 |
+
"recall": 0.8988416988416988,
|
173 |
+
"support": 1295.0
|
174 |
},
|
175 |
"eval_I": {
|
176 |
+
"f1-score": 0.9602426713742261,
|
177 |
+
"precision": 0.9581224570804803,
|
178 |
+
"recall": 0.9623722900573137,
|
179 |
+
"support": 20065.0
|
180 |
},
|
181 |
"eval_O": {
|
182 |
+
"f1-score": 0.9022119433078337,
|
183 |
+
"precision": 0.9075399665950847,
|
184 |
+
"recall": 0.8969461148449476,
|
185 |
+
"support": 8481.0
|
186 |
},
|
187 |
+
"eval_accuracy": 0.9410207432726785,
|
188 |
+
"eval_loss": 0.2340461015701294,
|
189 |
"eval_macro avg": {
|
190 |
+
"f1-score": 0.9192797433555584,
|
191 |
+
"precision": 0.9192054822213569,
|
192 |
+
"recall": 0.9193867012479867,
|
193 |
+
"support": 29841.0
|
194 |
+
},
|
195 |
+
"eval_runtime": 4.6719,
|
196 |
+
"eval_samples_per_second": 17.124,
|
197 |
+
"eval_steps_per_second": 2.14,
|
198 |
"eval_weighted avg": {
|
199 |
+
"f1-score": 0.9409353496612266,
|
200 |
+
"precision": 0.9408751053176122,
|
201 |
+
"recall": 0.9410207432726785,
|
202 |
+
"support": 29841.0
|
203 |
},
|
204 |
"step": 405
|
205 |
},
|
206 |
{
|
207 |
"epoch": 6.0,
|
208 |
"eval_B": {
|
209 |
+
"f1-score": 0.8929831438651511,
|
210 |
+
"precision": 0.9068471337579618,
|
211 |
+
"recall": 0.8795366795366796,
|
212 |
+
"support": 1295.0
|
213 |
},
|
214 |
"eval_I": {
|
215 |
+
"f1-score": 0.9522293798155866,
|
216 |
+
"precision": 0.9655225409836066,
|
217 |
+
"recall": 0.9392972838275604,
|
218 |
+
"support": 20065.0
|
219 |
},
|
220 |
"eval_O": {
|
221 |
+
"f1-score": 0.8885216003647556,
|
222 |
+
"precision": 0.8599007170435742,
|
223 |
+
"recall": 0.919113312109421,
|
224 |
+
"support": 8481.0
|
225 |
},
|
226 |
+
"eval_accuracy": 0.930967460875976,
|
227 |
+
"eval_loss": 0.21774999797344208,
|
228 |
"eval_macro avg": {
|
229 |
+
"f1-score": 0.9112447080151643,
|
230 |
+
"precision": 0.9107567972617142,
|
231 |
+
"recall": 0.9126490918245537,
|
232 |
+
"support": 29841.0
|
233 |
+
},
|
234 |
+
"eval_runtime": 4.647,
|
235 |
+
"eval_samples_per_second": 17.215,
|
236 |
+
"eval_steps_per_second": 2.152,
|
237 |
"eval_weighted avg": {
|
238 |
+
"f1-score": 0.9315521386682287,
|
239 |
+
"precision": 0.9329578366776978,
|
240 |
+
"recall": 0.930967460875976,
|
241 |
+
"support": 29841.0
|
242 |
},
|
243 |
"step": 486
|
244 |
},
|
245 |
{
|
246 |
"epoch": 6.17,
|
247 |
+
"grad_norm": 9.310327529907227,
|
248 |
"learning_rate": 1.7530864197530865e-05,
|
249 |
+
"loss": 0.1627,
|
250 |
"step": 500
|
251 |
},
|
252 |
{
|
253 |
"epoch": 7.0,
|
254 |
"eval_B": {
|
255 |
+
"f1-score": 0.8936490041337843,
|
256 |
+
"precision": 0.8704245973645681,
|
257 |
+
"recall": 0.9181467181467181,
|
258 |
+
"support": 1295.0
|
259 |
},
|
260 |
"eval_I": {
|
261 |
+
"f1-score": 0.9599271850630982,
|
262 |
+
"precision": 0.9477800446905664,
|
263 |
+
"recall": 0.9723897333665587,
|
264 |
+
"support": 20065.0
|
265 |
},
|
266 |
"eval_O": {
|
267 |
+
"f1-score": 0.8979841172877214,
|
268 |
+
"precision": 0.9316770186335404,
|
269 |
+
"recall": 0.8666430845419172,
|
270 |
+
"support": 8481.0
|
271 |
},
|
272 |
+
"eval_accuracy": 0.9399819040916859,
|
273 |
+
"eval_loss": 0.27376389503479004,
|
274 |
"eval_macro avg": {
|
275 |
+
"f1-score": 0.9171867688282013,
|
276 |
+
"precision": 0.9166272202295582,
|
277 |
+
"recall": 0.9190598453517312,
|
278 |
+
"support": 29841.0
|
279 |
+
},
|
280 |
+
"eval_runtime": 4.6671,
|
281 |
+
"eval_samples_per_second": 17.141,
|
282 |
+
"eval_steps_per_second": 2.143,
|
283 |
"eval_weighted avg": {
|
284 |
+
"f1-score": 0.9394463230910989,
|
285 |
+
"precision": 0.9398464945991887,
|
286 |
+
"recall": 0.9399819040916859,
|
287 |
+
"support": 29841.0
|
288 |
},
|
289 |
"step": 567
|
290 |
},
|
291 |
{
|
292 |
"epoch": 8.0,
|
293 |
"eval_B": {
|
294 |
+
"f1-score": 0.8948545861297539,
|
295 |
+
"precision": 0.8651766402307137,
|
296 |
+
"recall": 0.9266409266409267,
|
297 |
+
"support": 1295.0
|
298 |
},
|
299 |
"eval_I": {
|
300 |
+
"f1-score": 0.9590139880661254,
|
301 |
+
"precision": 0.9414702069429106,
|
302 |
+
"recall": 0.9772240219287316,
|
303 |
+
"support": 20065.0
|
304 |
},
|
305 |
"eval_O": {
|
306 |
+
"f1-score": 0.8927241122423641,
|
307 |
+
"precision": 0.9427035531663825,
|
308 |
+
"recall": 0.8477773847423653,
|
309 |
+
"support": 8481.0
|
310 |
},
|
311 |
+
"eval_accuracy": 0.9382393351429241,
|
312 |
+
"eval_loss": 0.3103167414665222,
|
313 |
"eval_macro avg": {
|
314 |
+
"f1-score": 0.9155308954794145,
|
315 |
+
"precision": 0.916450133446669,
|
316 |
+
"recall": 0.9172141111040079,
|
317 |
+
"support": 29841.0
|
318 |
+
},
|
319 |
+
"eval_runtime": 4.6339,
|
320 |
+
"eval_samples_per_second": 17.264,
|
321 |
+
"eval_steps_per_second": 2.158,
|
322 |
"eval_weighted avg": {
|
323 |
+
"f1-score": 0.9373896838414373,
|
324 |
+
"precision": 0.9385098450391195,
|
325 |
+
"recall": 0.9382393351429241,
|
326 |
+
"support": 29841.0
|
327 |
},
|
328 |
"step": 648
|
329 |
},
|
330 |
{
|
331 |
"epoch": 9.0,
|
332 |
"eval_B": {
|
333 |
+
"f1-score": 0.9011235955056179,
|
334 |
+
"precision": 0.8749090909090909,
|
335 |
+
"recall": 0.9289575289575289,
|
336 |
+
"support": 1295.0
|
337 |
},
|
338 |
"eval_I": {
|
339 |
+
"f1-score": 0.9615119937082186,
|
340 |
+
"precision": 0.9485040973670175,
|
341 |
+
"recall": 0.9748816346872664,
|
342 |
+
"support": 20065.0
|
343 |
},
|
344 |
"eval_O": {
|
345 |
+
"f1-score": 0.9013722126929674,
|
346 |
+
"precision": 0.9380339155935229,
|
347 |
+
"recall": 0.8674684589081476,
|
348 |
+
"support": 8481.0
|
349 |
},
|
350 |
+
"eval_accuracy": 0.9423611809255722,
|
351 |
+
"eval_loss": 0.32883673906326294,
|
352 |
"eval_macro avg": {
|
353 |
+
"f1-score": 0.9213359339689347,
|
354 |
+
"precision": 0.9204823679565438,
|
355 |
+
"recall": 0.9237692075176476,
|
356 |
+
"support": 29841.0
|
357 |
+
},
|
358 |
+
"eval_runtime": 4.6714,
|
359 |
+
"eval_samples_per_second": 17.126,
|
360 |
+
"eval_steps_per_second": 2.141,
|
361 |
"eval_weighted avg": {
|
362 |
+
"f1-score": 0.9417992341337168,
|
363 |
+
"precision": 0.9423346276781992,
|
364 |
+
"recall": 0.9423611809255722,
|
365 |
+
"support": 29841.0
|
366 |
},
|
367 |
"step": 729
|
368 |
},
|
369 |
{
|
370 |
"epoch": 10.0,
|
371 |
"eval_B": {
|
372 |
+
"f1-score": 0.8935361216730039,
|
373 |
+
"precision": 0.8801498127340824,
|
374 |
+
"recall": 0.9073359073359073,
|
375 |
+
"support": 1295.0
|
376 |
},
|
377 |
"eval_I": {
|
378 |
+
"f1-score": 0.9632332861646931,
|
379 |
+
"precision": 0.9596359319351009,
|
380 |
+
"recall": 0.9668577124345876,
|
381 |
+
"support": 20065.0
|
382 |
},
|
383 |
"eval_O": {
|
384 |
+
"f1-score": 0.9095462405342556,
|
385 |
+
"precision": 0.9200241254523522,
|
386 |
+
"recall": 0.8993043273198915,
|
387 |
+
"support": 8481.0
|
388 |
},
|
389 |
+
"eval_accuracy": 0.9450755671726819,
|
390 |
+
"eval_loss": 0.3041447699069977,
|
391 |
"eval_macro avg": {
|
392 |
+
"f1-score": 0.9221052161239841,
|
393 |
+
"precision": 0.9199366233738452,
|
394 |
+
"recall": 0.9244993156967954,
|
395 |
+
"support": 29841.0
|
396 |
+
},
|
397 |
+
"eval_runtime": 4.6532,
|
398 |
+
"eval_samples_per_second": 17.193,
|
399 |
+
"eval_steps_per_second": 2.149,
|
400 |
"eval_weighted avg": {
|
401 |
+
"f1-score": 0.9449504651463465,
|
402 |
+
"precision": 0.9449285744355027,
|
403 |
+
"recall": 0.9450755671726819,
|
404 |
+
"support": 29841.0
|
405 |
},
|
406 |
"step": 810
|
407 |
},
|
408 |
{
|
409 |
"epoch": 11.0,
|
410 |
"eval_B": {
|
411 |
+
"f1-score": 0.8924122310305775,
|
412 |
+
"precision": 0.8729689807976366,
|
413 |
+
"recall": 0.9127413127413128,
|
414 |
+
"support": 1295.0
|
415 |
},
|
416 |
"eval_I": {
|
417 |
+
"f1-score": 0.9588723786993913,
|
418 |
+
"precision": 0.9483330083837005,
|
419 |
+
"recall": 0.9696486419137802,
|
420 |
+
"support": 20065.0
|
421 |
},
|
422 |
"eval_O": {
|
423 |
+
"f1-score": 0.8956965718453683,
|
424 |
+
"precision": 0.9243507715468574,
|
425 |
+
"recall": 0.8687654757693668,
|
426 |
+
"support": 8481.0
|
427 |
},
|
428 |
+
"eval_accuracy": 0.9385074226735028,
|
429 |
+
"eval_loss": 0.3531416654586792,
|
430 |
"eval_macro avg": {
|
431 |
+
"f1-score": 0.9156603938584458,
|
432 |
+
"precision": 0.9152175869093981,
|
433 |
+
"recall": 0.9170518101414866,
|
434 |
+
"support": 29841.0
|
435 |
+
},
|
436 |
+
"eval_runtime": 4.6508,
|
437 |
+
"eval_samples_per_second": 17.201,
|
438 |
+
"eval_steps_per_second": 2.15,
|
439 |
"eval_weighted avg": {
|
440 |
+
"f1-score": 0.938033267772811,
|
441 |
+
"precision": 0.9382465579853486,
|
442 |
+
"recall": 0.9385074226735028,
|
443 |
+
"support": 29841.0
|
444 |
},
|
445 |
"step": 891
|
446 |
},
|
447 |
{
|
448 |
"epoch": 12.0,
|
449 |
"eval_B": {
|
450 |
+
"f1-score": 0.8970199924556771,
|
451 |
+
"precision": 0.8768436578171092,
|
452 |
+
"recall": 0.9181467181467181,
|
453 |
+
"support": 1295.0
|
454 |
},
|
455 |
"eval_I": {
|
456 |
+
"f1-score": 0.9595004897159647,
|
457 |
+
"precision": 0.9431046931407943,
|
458 |
+
"recall": 0.9764764515325193,
|
459 |
+
"support": 20065.0
|
460 |
},
|
461 |
"eval_O": {
|
462 |
+
"f1-score": 0.8953122104873078,
|
463 |
+
"precision": 0.9400778210116731,
|
464 |
+
"recall": 0.8546162009197029,
|
465 |
+
"support": 8481.0
|
466 |
},
|
467 |
+
"eval_accuracy": 0.9393116852652391,
|
468 |
+
"eval_loss": 0.4237186312675476,
|
469 |
"eval_macro avg": {
|
470 |
+
"f1-score": 0.9172775642196499,
|
471 |
+
"precision": 0.9200087239898588,
|
472 |
+
"recall": 0.9164131235329801,
|
473 |
+
"support": 29841.0
|
474 |
+
},
|
475 |
+
"eval_runtime": 4.6388,
|
476 |
+
"eval_samples_per_second": 17.246,
|
477 |
+
"eval_steps_per_second": 2.156,
|
478 |
"eval_weighted avg": {
|
479 |
+
"f1-score": 0.9385463313402296,
|
480 |
+
"precision": 0.9393689288141548,
|
481 |
+
"recall": 0.9393116852652391,
|
482 |
+
"support": 29841.0
|
483 |
},
|
484 |
"step": 972
|
485 |
},
|
486 |
{
|
487 |
"epoch": 12.35,
|
488 |
+
"grad_norm": 0.5223535895347595,
|
489 |
"learning_rate": 1.506172839506173e-05,
|
490 |
+
"loss": 0.0196,
|
491 |
"step": 1000
|
492 |
},
|
493 |
{
|
494 |
"epoch": 13.0,
|
495 |
"eval_B": {
|
496 |
+
"f1-score": 0.8891411275066211,
|
497 |
+
"precision": 0.8716617210682492,
|
498 |
+
"recall": 0.9073359073359073,
|
499 |
+
"support": 1295.0
|
500 |
},
|
501 |
"eval_I": {
|
502 |
+
"f1-score": 0.9610692322951795,
|
503 |
+
"precision": 0.9563736860287223,
|
504 |
+
"recall": 0.9658111138798904,
|
505 |
+
"support": 20065.0
|
506 |
},
|
507 |
"eval_O": {
|
508 |
+
"f1-score": 0.9043145233678416,
|
509 |
+
"precision": 0.918104495747266,
|
510 |
+
"recall": 0.8909326730338404,
|
511 |
+
"support": 8481.0
|
512 |
},
|
513 |
+
"eval_accuracy": 0.9419925605710264,
|
514 |
+
"eval_loss": 0.4308999180793762,
|
515 |
"eval_macro avg": {
|
516 |
+
"f1-score": 0.9181749610565474,
|
517 |
+
"precision": 0.9153799676147458,
|
518 |
+
"recall": 0.9213598980832126,
|
519 |
+
"support": 29841.0
|
520 |
+
},
|
521 |
+
"eval_runtime": 4.6555,
|
522 |
+
"eval_samples_per_second": 17.184,
|
523 |
+
"eval_steps_per_second": 2.148,
|
524 |
"eval_weighted avg": {
|
525 |
+
"f1-score": 0.9418177466843106,
|
526 |
+
"precision": 0.9418211242043584,
|
527 |
+
"recall": 0.9419925605710264,
|
528 |
+
"support": 29841.0
|
529 |
},
|
530 |
"step": 1053
|
531 |
},
|
532 |
{
|
533 |
"epoch": 14.0,
|
534 |
"eval_B": {
|
535 |
+
"f1-score": 0.9025601834161253,
|
536 |
+
"precision": 0.8933434190620272,
|
537 |
+
"recall": 0.911969111969112,
|
538 |
+
"support": 1295.0
|
539 |
},
|
540 |
"eval_I": {
|
541 |
+
"f1-score": 0.960806215404473,
|
542 |
+
"precision": 0.9570764513895758,
|
543 |
+
"recall": 0.9645651632195366,
|
544 |
+
"support": 20065.0
|
545 |
},
|
546 |
"eval_O": {
|
547 |
+
"f1-score": 0.9030873763261413,
|
548 |
+
"precision": 0.9131011208870676,
|
549 |
+
"recall": 0.8932908855087843,
|
550 |
+
"support": 8481.0
|
551 |
},
|
552 |
+
"eval_accuracy": 0.9420260715123487,
|
553 |
+
"eval_loss": 0.4198700487613678,
|
554 |
"eval_macro avg": {
|
555 |
+
"f1-score": 0.9221512583822467,
|
556 |
+
"precision": 0.9211736637795568,
|
557 |
+
"recall": 0.9232750535658111,
|
558 |
+
"support": 29841.0
|
559 |
+
},
|
560 |
+
"eval_runtime": 4.6834,
|
561 |
+
"eval_samples_per_second": 17.082,
|
562 |
+
"eval_steps_per_second": 2.135,
|
563 |
"eval_weighted avg": {
|
564 |
+
"f1-score": 0.9418744743217934,
|
565 |
+
"precision": 0.9418125843993292,
|
566 |
+
"recall": 0.9420260715123487,
|
567 |
+
"support": 29841.0
|
568 |
},
|
569 |
"step": 1134
|
570 |
},
|
571 |
{
|
572 |
"epoch": 15.0,
|
573 |
"eval_B": {
|
574 |
+
"f1-score": 0.8935681470137825,
|
575 |
+
"precision": 0.8861047835990888,
|
576 |
+
"recall": 0.9011583011583012,
|
577 |
+
"support": 1295.0
|
578 |
},
|
579 |
"eval_I": {
|
580 |
+
"f1-score": 0.9633398694432723,
|
581 |
+
"precision": 0.9595530063291139,
|
582 |
+
"recall": 0.9671567405930726,
|
583 |
+
"support": 20065.0
|
584 |
},
|
585 |
"eval_O": {
|
586 |
+
"f1-score": 0.9100768726535964,
|
587 |
+
"precision": 0.92,
|
588 |
+
"recall": 0.9003655229336163,
|
589 |
+
"support": 8481.0
|
590 |
},
|
591 |
+
"eval_accuracy": 0.9453101437619382,
|
592 |
+
"eval_loss": 0.39179423451423645,
|
593 |
"eval_macro avg": {
|
594 |
+
"f1-score": 0.9223282963702171,
|
595 |
+
"precision": 0.9218859299760677,
|
596 |
+
"recall": 0.9228935215616634,
|
597 |
+
"support": 29841.0
|
598 |
+
},
|
599 |
+
"eval_runtime": 4.6645,
|
600 |
+
"eval_samples_per_second": 17.151,
|
601 |
+
"eval_steps_per_second": 2.144,
|
602 |
"eval_weighted avg": {
|
603 |
+
"f1-score": 0.945174330208011,
|
604 |
+
"precision": 0.9451243847979119,
|
605 |
+
"recall": 0.9453101437619382,
|
606 |
+
"support": 29841.0
|
607 |
},
|
608 |
"step": 1215
|
609 |
},
|
610 |
{
|
611 |
"epoch": 16.0,
|
612 |
"eval_B": {
|
613 |
+
"f1-score": 0.9022614028363357,
|
614 |
+
"precision": 0.895738203957382,
|
615 |
+
"recall": 0.9088803088803089,
|
616 |
+
"support": 1295.0
|
617 |
},
|
618 |
"eval_I": {
|
619 |
+
"f1-score": 0.9632045864531594,
|
620 |
+
"precision": 0.9552494853445741,
|
621 |
+
"recall": 0.9712932967854473,
|
622 |
+
"support": 20065.0
|
623 |
},
|
624 |
"eval_O": {
|
625 |
+
"f1-score": 0.9083463808262073,
|
626 |
+
"precision": 0.9282461538461538,
|
627 |
+
"recall": 0.8892819243013795,
|
628 |
+
"support": 8481.0
|
629 |
},
|
630 |
+
"eval_accuracy": 0.9452766328206159,
|
631 |
+
"eval_loss": 0.44052162766456604,
|
632 |
"eval_macro avg": {
|
633 |
+
"f1-score": 0.9246041233719008,
|
634 |
+
"precision": 0.92641128104937,
|
635 |
+
"recall": 0.9231518433223785,
|
636 |
+
"support": 29841.0
|
637 |
+
},
|
638 |
+
"eval_runtime": 4.6376,
|
639 |
+
"eval_samples_per_second": 17.25,
|
640 |
+
"eval_steps_per_second": 2.156,
|
641 |
"eval_weighted avg": {
|
642 |
+
"f1-score": 0.9449688080038458,
|
643 |
+
"precision": 0.944992377210312,
|
644 |
+
"recall": 0.9452766328206159,
|
645 |
+
"support": 29841.0
|
646 |
},
|
647 |
"step": 1296
|
648 |
},
|
649 |
{
|
650 |
"epoch": 17.0,
|
651 |
"eval_B": {
|
652 |
+
"f1-score": 0.8923649906890131,
|
653 |
+
"precision": 0.8618705035971223,
|
654 |
+
"recall": 0.9250965250965251,
|
655 |
+
"support": 1295.0
|
656 |
},
|
657 |
"eval_I": {
|
658 |
+
"f1-score": 0.9599605522682445,
|
659 |
+
"precision": 0.9498902171261283,
|
660 |
+
"recall": 0.97024669823075,
|
661 |
+
"support": 20065.0
|
662 |
},
|
663 |
"eval_O": {
|
664 |
+
"f1-score": 0.9001642635517431,
|
665 |
+
"precision": 0.9298642533936652,
|
666 |
+
"recall": 0.8723027944817828,
|
667 |
+
"support": 8481.0
|
668 |
},
|
669 |
+
"eval_accuracy": 0.9404510572701987,
|
670 |
+
"eval_loss": 0.4657233655452728,
|
671 |
"eval_macro avg": {
|
672 |
+
"f1-score": 0.9174966021696669,
|
673 |
+
"precision": 0.9138749913723053,
|
674 |
+
"recall": 0.9225486726030193,
|
675 |
+
"support": 29841.0
|
676 |
+
},
|
677 |
+
"eval_runtime": 4.6396,
|
678 |
+
"eval_samples_per_second": 17.243,
|
679 |
+
"eval_steps_per_second": 2.155,
|
680 |
"eval_weighted avg": {
|
681 |
+
"f1-score": 0.940032648483192,
|
682 |
+
"precision": 0.9403789498282803,
|
683 |
+
"recall": 0.9404510572701987,
|
684 |
+
"support": 29841.0
|
685 |
},
|
686 |
"step": 1377
|
687 |
},
|
688 |
{
|
689 |
"epoch": 18.0,
|
690 |
"eval_B": {
|
691 |
+
"f1-score": 0.9014302280633939,
|
692 |
+
"precision": 0.9024767801857585,
|
693 |
+
"recall": 0.9003861003861003,
|
694 |
+
"support": 1295.0
|
695 |
},
|
696 |
"eval_I": {
|
697 |
+
"f1-score": 0.9638021281301453,
|
698 |
+
"precision": 0.9506496024820632,
|
699 |
+
"recall": 0.9773236979815599,
|
700 |
+
"support": 20065.0
|
701 |
},
|
702 |
"eval_O": {
|
703 |
+
"f1-score": 0.9083038653822705,
|
704 |
+
"precision": 0.9404115641964399,
|
705 |
+
"recall": 0.87831623629289,
|
706 |
+
"support": 8481.0
|
707 |
},
|
708 |
+
"eval_accuracy": 0.9458463188230958,
|
709 |
+
"eval_loss": 0.4731404185295105,
|
710 |
"eval_macro avg": {
|
711 |
+
"f1-score": 0.9245120738586032,
|
712 |
+
"precision": 0.9311793156214204,
|
713 |
+
"recall": 0.9186753448868501,
|
714 |
+
"support": 29841.0
|
715 |
+
},
|
716 |
+
"eval_runtime": 4.6405,
|
717 |
+
"eval_samples_per_second": 17.24,
|
718 |
+
"eval_steps_per_second": 2.155,
|
719 |
"eval_weighted avg": {
|
720 |
+
"f1-score": 0.9453224398840687,
|
721 |
+
"precision": 0.9456493475450943,
|
722 |
+
"recall": 0.9458463188230958,
|
723 |
+
"support": 29841.0
|
724 |
},
|
725 |
"step": 1458
|
726 |
},
|
727 |
{
|
728 |
"epoch": 18.52,
|
729 |
+
"grad_norm": 1.548362135887146,
|
730 |
"learning_rate": 1.2592592592592593e-05,
|
731 |
+
"loss": 0.0038,
|
732 |
"step": 1500
|
733 |
},
|
734 |
{
|
735 |
"epoch": 19.0,
|
736 |
"eval_B": {
|
737 |
+
"f1-score": 0.8891402714932127,
|
738 |
+
"precision": 0.868828297715549,
|
739 |
+
"recall": 0.9104247104247104,
|
740 |
+
"support": 1295.0
|
741 |
},
|
742 |
"eval_I": {
|
743 |
+
"f1-score": 0.9603099696984749,
|
744 |
+
"precision": 0.9571718572065158,
|
745 |
+
"recall": 0.9634687266384251,
|
746 |
+
"support": 20065.0
|
747 |
},
|
748 |
"eval_O": {
|
749 |
+
"f1-score": 0.9027910305343512,
|
750 |
+
"precision": 0.913358271992277,
|
751 |
+
"recall": 0.8924655111425539,
|
752 |
+
"support": 8481.0
|
753 |
},
|
754 |
+
"eval_accuracy": 0.9409872323313562,
|
755 |
+
"eval_loss": 0.49517783522605896,
|
756 |
"eval_macro avg": {
|
757 |
+
"f1-score": 0.9174137572420129,
|
758 |
+
"precision": 0.9131194756381139,
|
759 |
+
"recall": 0.9221196494018965,
|
760 |
+
"support": 29841.0
|
761 |
+
},
|
762 |
+
"eval_runtime": 4.6377,
|
763 |
+
"eval_samples_per_second": 17.25,
|
764 |
+
"eval_steps_per_second": 2.156,
|
765 |
"eval_weighted avg": {
|
766 |
+
"f1-score": 0.9408741973642117,
|
767 |
+
"precision": 0.9408859443435835,
|
768 |
+
"recall": 0.9409872323313562,
|
769 |
+
"support": 29841.0
|
770 |
},
|
771 |
"step": 1539
|
772 |
},
|
773 |
{
|
774 |
"epoch": 20.0,
|
775 |
"eval_B": {
|
776 |
+
"f1-score": 0.899884925201381,
|
777 |
+
"precision": 0.8940548780487805,
|
778 |
+
"recall": 0.9057915057915058,
|
779 |
+
"support": 1295.0
|
780 |
},
|
781 |
"eval_I": {
|
782 |
+
"f1-score": 0.9634953846153845,
|
783 |
+
"precision": 0.951896887159533,
|
784 |
+
"recall": 0.9753800149514079,
|
785 |
+
"support": 20065.0
|
786 |
},
|
787 |
"eval_O": {
|
788 |
+
"f1-score": 0.9073556231003039,
|
789 |
+
"precision": 0.9365039528171665,
|
790 |
+
"recall": 0.8799669850253508,
|
791 |
+
"support": 8481.0
|
792 |
},
|
793 |
+
"eval_accuracy": 0.9452431218792936,
|
794 |
+
"eval_loss": 0.45907479524612427,
|
795 |
"eval_macro avg": {
|
796 |
+
"f1-score": 0.9235786443056897,
|
797 |
+
"precision": 0.9274852393418267,
|
798 |
+
"recall": 0.9203795019227549,
|
799 |
+
"support": 29841.0
|
800 |
+
},
|
801 |
+
"eval_runtime": 4.6356,
|
802 |
+
"eval_samples_per_second": 17.258,
|
803 |
+
"eval_steps_per_second": 2.157,
|
804 |
"eval_weighted avg": {
|
805 |
+
"f1-score": 0.9447796290324438,
|
806 |
+
"precision": 0.9450119678218422,
|
807 |
+
"recall": 0.9452431218792936,
|
808 |
+
"support": 29841.0
|
809 |
},
|
810 |
"step": 1620
|
811 |
},
|
812 |
{
|
813 |
"epoch": 21.0,
|
814 |
"eval_B": {
|
815 |
+
"f1-score": 0.8944337811900192,
|
816 |
+
"precision": 0.8893129770992366,
|
817 |
+
"recall": 0.8996138996138996,
|
818 |
+
"support": 1295.0
|
819 |
},
|
820 |
"eval_I": {
|
821 |
+
"f1-score": 0.9624703322784811,
|
822 |
+
"precision": 0.9549624687239366,
|
823 |
+
"recall": 0.9700971841515076,
|
824 |
+
"support": 20065.0
|
825 |
},
|
826 |
"eval_O": {
|
827 |
+
"f1-score": 0.9066089361958025,
|
828 |
+
"precision": 0.9251350024545901,
|
829 |
+
"recall": 0.8888102818063908,
|
830 |
+
"support": 8481.0
|
831 |
},
|
832 |
+
"eval_accuracy": 0.9439361951677223,
|
833 |
+
"eval_loss": 0.4614206850528717,
|
834 |
"eval_macro avg": {
|
835 |
+
"f1-score": 0.9211710165547675,
|
836 |
+
"precision": 0.9231368160925877,
|
837 |
+
"recall": 0.9195071218572659,
|
838 |
+
"support": 29841.0
|
839 |
+
},
|
840 |
+
"eval_runtime": 4.6636,
|
841 |
+
"eval_samples_per_second": 17.154,
|
842 |
+
"eval_steps_per_second": 2.144,
|
843 |
"eval_weighted avg": {
|
844 |
+
"f1-score": 0.9436416122678664,
|
845 |
+
"precision": 0.9436363458364894,
|
846 |
+
"recall": 0.9439361951677223,
|
847 |
+
"support": 29841.0
|
848 |
},
|
849 |
"step": 1701
|
850 |
},
|
851 |
{
|
852 |
"epoch": 22.0,
|
853 |
"eval_B": {
|
854 |
+
"f1-score": 0.9011072928598702,
|
855 |
+
"precision": 0.8912386706948641,
|
856 |
+
"recall": 0.9111969111969112,
|
857 |
+
"support": 1295.0
|
858 |
},
|
859 |
"eval_I": {
|
860 |
+
"f1-score": 0.9635141147970535,
|
861 |
+
"precision": 0.9558585511795576,
|
862 |
+
"recall": 0.9712932967854473,
|
863 |
+
"support": 20065.0
|
864 |
},
|
865 |
"eval_O": {
|
866 |
+
"f1-score": 0.9095068938527304,
|
867 |
+
"precision": 0.9292568897637795,
|
868 |
+
"recall": 0.8905789411625987,
|
869 |
+
"support": 8481.0
|
870 |
},
|
871 |
+
"eval_accuracy": 0.9457457859991287,
|
872 |
+
"eval_loss": 0.4724768102169037,
|
873 |
"eval_macro avg": {
|
874 |
+
"f1-score": 0.9247094338365515,
|
875 |
+
"precision": 0.9254513705460671,
|
876 |
+
"recall": 0.9243563830483191,
|
877 |
+
"support": 29841.0
|
878 |
+
},
|
879 |
+
"eval_runtime": 4.6333,
|
880 |
+
"eval_samples_per_second": 17.266,
|
881 |
+
"eval_steps_per_second": 2.158,
|
882 |
"eval_weighted avg": {
|
883 |
+
"f1-score": 0.9454566745223489,
|
884 |
+
"precision": 0.9454939040264833,
|
885 |
+
"recall": 0.9457457859991287,
|
886 |
+
"support": 29841.0
|
887 |
},
|
888 |
"step": 1782
|
889 |
},
|
890 |
{
|
891 |
"epoch": 23.0,
|
892 |
"eval_B": {
|
893 |
+
"f1-score": 0.8956916099773242,
|
894 |
+
"precision": 0.8771280532938565,
|
895 |
+
"recall": 0.915057915057915,
|
896 |
+
"support": 1295.0
|
897 |
},
|
898 |
"eval_I": {
|
899 |
+
"f1-score": 0.9624542808091362,
|
900 |
+
"precision": 0.9609957269204015,
|
901 |
+
"recall": 0.9639172688761525,
|
902 |
+
"support": 20065.0
|
903 |
},
|
904 |
"eval_O": {
|
905 |
+
"f1-score": 0.9084001187295934,
|
906 |
+
"precision": 0.914753706360593,
|
907 |
+
"recall": 0.9021341822898243,
|
908 |
+
"support": 8481.0
|
909 |
},
|
910 |
+
"eval_accuracy": 0.9442377936396233,
|
911 |
+
"eval_loss": 0.47468113899230957,
|
912 |
"eval_macro avg": {
|
913 |
+
"f1-score": 0.9221820031720179,
|
914 |
+
"precision": 0.9176258288582838,
|
915 |
+
"recall": 0.927036455407964,
|
916 |
+
"support": 29841.0
|
917 |
+
},
|
918 |
+
"eval_runtime": 4.6476,
|
919 |
+
"eval_samples_per_second": 17.213,
|
920 |
+
"eval_steps_per_second": 2.152,
|
921 |
"eval_weighted avg": {
|
922 |
+
"f1-score": 0.9441944702356367,
|
923 |
+
"precision": 0.9442138759866489,
|
924 |
+
"recall": 0.9442377936396233,
|
925 |
+
"support": 29841.0
|
926 |
},
|
927 |
"step": 1863
|
928 |
},
|
929 |
{
|
930 |
"epoch": 24.0,
|
931 |
"eval_B": {
|
932 |
+
"f1-score": 0.9008390541571321,
|
933 |
+
"precision": 0.8899773926149209,
|
934 |
+
"recall": 0.911969111969112,
|
935 |
+
"support": 1295.0
|
936 |
},
|
937 |
"eval_I": {
|
938 |
+
"f1-score": 0.9639726399486381,
|
939 |
+
"precision": 0.9553151918559123,
|
940 |
+
"recall": 0.9727884375778719,
|
941 |
+
"support": 20065.0
|
942 |
},
|
943 |
"eval_O": {
|
944 |
+
"f1-score": 0.9101008271448409,
|
945 |
+
"precision": 0.9325661964860184,
|
946 |
+
"recall": 0.8886923711826435,
|
947 |
+
"support": 8481.0
|
948 |
},
|
949 |
+
"eval_accuracy": 0.9462484501189639,
|
950 |
+
"eval_loss": 0.4712923467159271,
|
951 |
"eval_macro avg": {
|
952 |
+
"f1-score": 0.9249708404168704,
|
953 |
+
"precision": 0.9259529269856172,
|
954 |
+
"recall": 0.9244833069098758,
|
955 |
+
"support": 29841.0
|
956 |
},
|
957 |
+
"eval_runtime": 4.6509,
|
958 |
+
"eval_samples_per_second": 17.201,
|
959 |
+
"eval_steps_per_second": 2.15,
|
960 |
"eval_weighted avg": {
|
961 |
+
"f1-score": 0.9459221443892064,
|
962 |
+
"precision": 0.9460143413566277,
|
963 |
+
"recall": 0.9462484501189639,
|
964 |
+
"support": 29841.0
|
965 |
},
|
966 |
"step": 1944
|
967 |
},
|
968 |
{
|
969 |
"epoch": 24.69,
|
970 |
+
"grad_norm": 0.04072243347764015,
|
971 |
"learning_rate": 1.0123456790123458e-05,
|
972 |
+
"loss": 0.0014,
|
973 |
"step": 2000
|
974 |
},
|
975 |
{
|
976 |
"epoch": 25.0,
|
977 |
"eval_B": {
|
978 |
+
"f1-score": 0.8943768996960487,
|
979 |
+
"precision": 0.8803290949887809,
|
980 |
+
"recall": 0.9088803088803089,
|
981 |
+
"support": 1295.0
|
982 |
},
|
983 |
"eval_I": {
|
984 |
+
"f1-score": 0.9629187495336865,
|
985 |
+
"precision": 0.9610305798252582,
|
986 |
+
"recall": 0.9648143533516073,
|
987 |
+
"support": 20065.0
|
988 |
},
|
989 |
"eval_O": {
|
990 |
+
"f1-score": 0.9089721512974288,
|
991 |
+
"precision": 0.9155502392344498,
|
992 |
+
"recall": 0.9024879141610659,
|
993 |
+
"support": 8481.0
|
994 |
},
|
995 |
+
"eval_accuracy": 0.9446734358768137,
|
996 |
+
"eval_loss": 0.48565673828125,
|
997 |
"eval_macro avg": {
|
998 |
+
"f1-score": 0.922089266842388,
|
999 |
+
"precision": 0.9189699713494962,
|
1000 |
+
"recall": 0.925394192130994,
|
1001 |
+
"support": 29841.0
|
1002 |
+
},
|
1003 |
+
"eval_runtime": 4.6314,
|
1004 |
+
"eval_samples_per_second": 17.274,
|
1005 |
+
"eval_steps_per_second": 2.159,
|
1006 |
"eval_weighted avg": {
|
1007 |
+
"f1-score": 0.9446122988389564,
|
1008 |
+
"precision": 0.944602605179171,
|
1009 |
+
"recall": 0.9446734358768137,
|
1010 |
+
"support": 29841.0
|
1011 |
},
|
1012 |
"step": 2025
|
1013 |
}
|
|
|
1017 |
"num_input_tokens_seen": 0,
|
1018 |
"num_train_epochs": 50,
|
1019 |
"save_steps": 500,
|
1020 |
+
"total_flos": 3594666318390000.0,
|
1021 |
"train_batch_size": 4,
|
1022 |
"trial_name": null,
|
1023 |
"trial_params": null
|
checkpoint-2025/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:d229d7bc9127d222c880edfd3fa9418a9ccede656fe27f7f0aa04990c9605be4
|
3 |
size 4856
|