Theoreticallyhugo
commited on
Commit
•
2a5b9f2
1
Parent(s):
21dc027
Training in progress, epoch 36, checkpoint
Browse files- checkpoint-2916/model.safetensors +1 -1
- checkpoint-2916/optimizer.pt +1 -1
- checkpoint-2916/rng_state.pth +1 -1
- checkpoint-2916/trainer_state.json +1069 -1069
- checkpoint-2916/training_args.bin +1 -1
checkpoint-2916/model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 592324828
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:12b4ff23d1cb0c37dfbcc2a59bcd24bde3c686070c09b032ac15573d55bd3800
|
3 |
size 592324828
|
checkpoint-2916/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1014657786
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:86059fce665507cb3ac5d4f569e7c0d5080cf3ae8da36f24a4fa95a81b53f07b
|
3 |
size 1014657786
|
checkpoint-2916/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 sha256:1092929a34f62aeea56e320b108dc708bfb48a5a1e0d610f0606ba11e8f55b81
|
3 |
size 14244
|
checkpoint-2916/trainer_state.json
CHANGED
@@ -11,1655 +11,1655 @@
|
|
11 |
{
|
12 |
"epoch": 1.0,
|
13 |
"eval_Claim": {
|
14 |
-
"f1-score": 0.
|
15 |
-
"precision": 0.
|
16 |
-
"recall": 0.
|
17 |
-
"support":
|
18 |
},
|
19 |
"eval_MajorClaim": {
|
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": 1.0,
|
29 |
-
"support":
|
30 |
},
|
31 |
"eval_Premise": {
|
32 |
-
"f1-score": 0.
|
33 |
-
"precision": 0.
|
34 |
-
"recall": 0.
|
35 |
-
"support":
|
36 |
},
|
37 |
-
"eval_accuracy": 0.
|
38 |
-
"eval_loss": 0.
|
39 |
"eval_macro avg": {
|
40 |
-
"f1-score": 0.
|
41 |
-
"precision": 0.
|
42 |
-
"recall": 0.
|
43 |
-
"support":
|
44 |
-
},
|
45 |
-
"eval_runtime": 4.
|
46 |
-
"eval_samples_per_second": 16.
|
47 |
-
"eval_steps_per_second": 2.
|
48 |
"eval_weighted avg": {
|
49 |
-
"f1-score": 0.
|
50 |
-
"precision": 0.
|
51 |
-
"recall": 0.
|
52 |
-
"support":
|
53 |
},
|
54 |
"step": 81
|
55 |
},
|
56 |
{
|
57 |
"epoch": 2.0,
|
58 |
"eval_Claim": {
|
59 |
-
"f1-score": 0.
|
60 |
-
"precision": 0.
|
61 |
-
"recall": 0.
|
62 |
-
"support":
|
63 |
},
|
64 |
"eval_MajorClaim": {
|
65 |
-
"f1-score": 0.
|
66 |
-
"precision": 0.
|
67 |
-
"recall": 0.
|
68 |
-
"support":
|
69 |
},
|
70 |
"eval_O": {
|
71 |
-
"f1-score": 0.
|
72 |
-
"precision": 0.
|
73 |
-
"recall": 0.
|
74 |
-
"support":
|
75 |
},
|
76 |
"eval_Premise": {
|
77 |
-
"f1-score": 0.
|
78 |
-
"precision": 0.
|
79 |
-
"recall": 0.
|
80 |
-
"support":
|
81 |
},
|
82 |
-
"eval_accuracy": 0.
|
83 |
-
"eval_loss": 0.
|
84 |
"eval_macro avg": {
|
85 |
-
"f1-score": 0.
|
86 |
-
"precision": 0.
|
87 |
-
"recall": 0.
|
88 |
-
"support":
|
89 |
-
},
|
90 |
-
"eval_runtime": 4.
|
91 |
-
"eval_samples_per_second": 16.
|
92 |
-
"eval_steps_per_second": 2.
|
93 |
"eval_weighted avg": {
|
94 |
-
"f1-score": 0.
|
95 |
-
"precision": 0.
|
96 |
-
"recall": 0.
|
97 |
-
"support":
|
98 |
},
|
99 |
"step": 162
|
100 |
},
|
101 |
{
|
102 |
"epoch": 3.0,
|
103 |
"eval_Claim": {
|
104 |
-
"f1-score": 0.
|
105 |
-
"precision": 0.
|
106 |
-
"recall": 0.
|
107 |
-
"support":
|
108 |
},
|
109 |
"eval_MajorClaim": {
|
110 |
-
"f1-score": 0.
|
111 |
-
"precision": 0.
|
112 |
-
"recall": 0.
|
113 |
-
"support":
|
114 |
},
|
115 |
"eval_O": {
|
116 |
-
"f1-score": 0.
|
117 |
-
"precision": 0.
|
118 |
-
"recall": 0.
|
119 |
-
"support":
|
120 |
},
|
121 |
"eval_Premise": {
|
122 |
-
"f1-score": 0.
|
123 |
-
"precision": 0.
|
124 |
-
"recall": 0.
|
125 |
-
"support":
|
126 |
},
|
127 |
-
"eval_accuracy": 0.
|
128 |
-
"eval_loss": 0.
|
129 |
"eval_macro avg": {
|
130 |
-
"f1-score": 0.
|
131 |
-
"precision": 0.
|
132 |
-
"recall": 0.
|
133 |
-
"support":
|
134 |
-
},
|
135 |
-
"eval_runtime": 4.
|
136 |
-
"eval_samples_per_second": 16.
|
137 |
-
"eval_steps_per_second": 2.
|
138 |
"eval_weighted avg": {
|
139 |
-
"f1-score": 0.
|
140 |
-
"precision": 0.
|
141 |
-
"recall": 0.
|
142 |
-
"support":
|
143 |
},
|
144 |
"step": 243
|
145 |
},
|
146 |
{
|
147 |
"epoch": 4.0,
|
148 |
"eval_Claim": {
|
149 |
-
"f1-score": 0.
|
150 |
-
"precision": 0.
|
151 |
-
"recall": 0.
|
152 |
-
"support":
|
153 |
},
|
154 |
"eval_MajorClaim": {
|
155 |
-
"f1-score": 0.
|
156 |
-
"precision": 0.
|
157 |
-
"recall": 0.
|
158 |
-
"support":
|
159 |
},
|
160 |
"eval_O": {
|
161 |
-
"f1-score": 0.
|
162 |
-
"precision": 0.
|
163 |
-
"recall": 0.
|
164 |
-
"support":
|
165 |
},
|
166 |
"eval_Premise": {
|
167 |
-
"f1-score": 0.
|
168 |
-
"precision": 0.
|
169 |
-
"recall": 0.
|
170 |
-
"support":
|
171 |
},
|
172 |
-
"eval_accuracy": 0.
|
173 |
-
"eval_loss": 0.
|
174 |
"eval_macro avg": {
|
175 |
-
"f1-score": 0.
|
176 |
-
"precision": 0.
|
177 |
-
"recall": 0.
|
178 |
-
"support":
|
179 |
-
},
|
180 |
-
"eval_runtime": 4.
|
181 |
-
"eval_samples_per_second": 16.
|
182 |
-
"eval_steps_per_second": 2.
|
183 |
"eval_weighted avg": {
|
184 |
-
"f1-score": 0.
|
185 |
-
"precision": 0.
|
186 |
-
"recall": 0.
|
187 |
-
"support":
|
188 |
},
|
189 |
"step": 324
|
190 |
},
|
191 |
{
|
192 |
"epoch": 5.0,
|
193 |
"eval_Claim": {
|
194 |
-
"f1-score": 0.
|
195 |
-
"precision": 0.
|
196 |
-
"recall": 0.
|
197 |
-
"support":
|
198 |
},
|
199 |
"eval_MajorClaim": {
|
200 |
-
"f1-score": 0.
|
201 |
-
"precision": 0.
|
202 |
-
"recall": 0.
|
203 |
-
"support":
|
204 |
},
|
205 |
"eval_O": {
|
206 |
-
"f1-score": 0.
|
207 |
-
"precision":
|
208 |
-
"recall": 0.
|
209 |
-
"support":
|
210 |
},
|
211 |
"eval_Premise": {
|
212 |
-
"f1-score": 0.
|
213 |
-
"precision": 0.
|
214 |
-
"recall": 0.
|
215 |
-
"support":
|
216 |
},
|
217 |
-
"eval_accuracy": 0.
|
218 |
-
"eval_loss": 0.
|
219 |
"eval_macro avg": {
|
220 |
-
"f1-score": 0.
|
221 |
-
"precision": 0.
|
222 |
-
"recall": 0.
|
223 |
-
"support":
|
224 |
-
},
|
225 |
-
"eval_runtime": 4.
|
226 |
-
"eval_samples_per_second": 16.
|
227 |
-
"eval_steps_per_second": 2.
|
228 |
"eval_weighted avg": {
|
229 |
-
"f1-score": 0.
|
230 |
-
"precision": 0.
|
231 |
-
"recall": 0.
|
232 |
-
"support":
|
233 |
},
|
234 |
"step": 405
|
235 |
},
|
236 |
{
|
237 |
"epoch": 6.0,
|
238 |
"eval_Claim": {
|
239 |
-
"f1-score": 0.
|
240 |
-
"precision": 0.
|
241 |
-
"recall": 0.
|
242 |
-
"support":
|
243 |
},
|
244 |
"eval_MajorClaim": {
|
245 |
-
"f1-score": 0.
|
246 |
-
"precision": 0.
|
247 |
-
"recall": 0.
|
248 |
-
"support":
|
249 |
},
|
250 |
"eval_O": {
|
251 |
-
"f1-score": 0.
|
252 |
-
"precision": 0.
|
253 |
-
"recall": 0.
|
254 |
-
"support":
|
255 |
},
|
256 |
"eval_Premise": {
|
257 |
-
"f1-score": 0.
|
258 |
-
"precision": 0.
|
259 |
-
"recall": 0.
|
260 |
-
"support":
|
261 |
},
|
262 |
-
"eval_accuracy": 0.
|
263 |
-
"eval_loss": 0.
|
264 |
"eval_macro avg": {
|
265 |
-
"f1-score": 0.
|
266 |
-
"precision": 0.
|
267 |
-
"recall": 0.
|
268 |
-
"support":
|
269 |
-
},
|
270 |
-
"eval_runtime": 4.
|
271 |
-
"eval_samples_per_second": 16.
|
272 |
-
"eval_steps_per_second": 2.
|
273 |
"eval_weighted avg": {
|
274 |
-
"f1-score": 0.
|
275 |
-
"precision": 0.
|
276 |
-
"recall": 0.
|
277 |
-
"support":
|
278 |
},
|
279 |
"step": 486
|
280 |
},
|
281 |
{
|
282 |
"epoch": 6.17,
|
283 |
-
"grad_norm":
|
284 |
"learning_rate": 1.7530864197530865e-05,
|
285 |
-
"loss": 0.
|
286 |
"step": 500
|
287 |
},
|
288 |
{
|
289 |
"epoch": 7.0,
|
290 |
"eval_Claim": {
|
291 |
-
"f1-score": 0.
|
292 |
-
"precision": 0.
|
293 |
-
"recall": 0.
|
294 |
-
"support":
|
295 |
},
|
296 |
"eval_MajorClaim": {
|
297 |
-
"f1-score": 0.
|
298 |
-
"precision": 0.
|
299 |
-
"recall": 0.
|
300 |
-
"support":
|
301 |
},
|
302 |
"eval_O": {
|
303 |
-
"f1-score": 0.
|
304 |
-
"precision": 0.
|
305 |
-
"recall": 0.
|
306 |
-
"support":
|
307 |
},
|
308 |
"eval_Premise": {
|
309 |
-
"f1-score": 0.
|
310 |
-
"precision": 0.
|
311 |
-
"recall": 0.
|
312 |
-
"support":
|
313 |
},
|
314 |
-
"eval_accuracy": 0.
|
315 |
-
"eval_loss": 0.
|
316 |
"eval_macro avg": {
|
317 |
-
"f1-score": 0.
|
318 |
-
"precision": 0.
|
319 |
-
"recall": 0.
|
320 |
-
"support":
|
321 |
-
},
|
322 |
-
"eval_runtime": 4.
|
323 |
-
"eval_samples_per_second": 16.
|
324 |
-
"eval_steps_per_second": 2.
|
325 |
"eval_weighted avg": {
|
326 |
-
"f1-score": 0.
|
327 |
-
"precision": 0.
|
328 |
-
"recall": 0.
|
329 |
-
"support":
|
330 |
},
|
331 |
"step": 567
|
332 |
},
|
333 |
{
|
334 |
"epoch": 8.0,
|
335 |
"eval_Claim": {
|
336 |
-
"f1-score": 0.
|
337 |
-
"precision": 0.
|
338 |
-
"recall": 0.
|
339 |
-
"support":
|
340 |
},
|
341 |
"eval_MajorClaim": {
|
342 |
-
"f1-score": 0.
|
343 |
-
"precision": 0.
|
344 |
-
"recall": 0.
|
345 |
-
"support":
|
346 |
},
|
347 |
"eval_O": {
|
348 |
-
"f1-score":
|
349 |
-
"precision":
|
350 |
-
"recall":
|
351 |
-
"support":
|
352 |
},
|
353 |
"eval_Premise": {
|
354 |
-
"f1-score": 0.
|
355 |
-
"precision": 0.
|
356 |
-
"recall": 0.
|
357 |
-
"support":
|
358 |
},
|
359 |
-
"eval_accuracy": 0.
|
360 |
-
"eval_loss": 0.
|
361 |
"eval_macro avg": {
|
362 |
-
"f1-score": 0.
|
363 |
-
"precision": 0.
|
364 |
-
"recall": 0.
|
365 |
-
"support":
|
366 |
-
},
|
367 |
-
"eval_runtime": 4.
|
368 |
-
"eval_samples_per_second": 16.
|
369 |
-
"eval_steps_per_second": 2.
|
370 |
"eval_weighted avg": {
|
371 |
-
"f1-score": 0.
|
372 |
-
"precision": 0.
|
373 |
-
"recall": 0.
|
374 |
-
"support":
|
375 |
},
|
376 |
"step": 648
|
377 |
},
|
378 |
{
|
379 |
"epoch": 9.0,
|
380 |
"eval_Claim": {
|
381 |
-
"f1-score": 0.
|
382 |
-
"precision": 0.
|
383 |
-
"recall": 0.
|
384 |
-
"support":
|
385 |
},
|
386 |
"eval_MajorClaim": {
|
387 |
-
"f1-score": 0.
|
388 |
-
"precision": 0.
|
389 |
-
"recall": 0.
|
390 |
-
"support":
|
391 |
},
|
392 |
"eval_O": {
|
393 |
-
"f1-score": 0.
|
394 |
-
"precision":
|
395 |
-
"recall": 0.
|
396 |
-
"support":
|
397 |
},
|
398 |
"eval_Premise": {
|
399 |
-
"f1-score": 0.
|
400 |
-
"precision": 0.
|
401 |
-
"recall": 0.
|
402 |
-
"support":
|
403 |
},
|
404 |
-
"eval_accuracy": 0.
|
405 |
-
"eval_loss": 0.
|
406 |
"eval_macro avg": {
|
407 |
-
"f1-score": 0.
|
408 |
-
"precision": 0.
|
409 |
-
"recall": 0.
|
410 |
-
"support":
|
411 |
-
},
|
412 |
-
"eval_runtime": 4.
|
413 |
-
"eval_samples_per_second": 16.
|
414 |
-
"eval_steps_per_second": 2.
|
415 |
"eval_weighted avg": {
|
416 |
-
"f1-score": 0.
|
417 |
-
"precision": 0.
|
418 |
-
"recall": 0.
|
419 |
-
"support":
|
420 |
},
|
421 |
"step": 729
|
422 |
},
|
423 |
{
|
424 |
"epoch": 10.0,
|
425 |
"eval_Claim": {
|
426 |
-
"f1-score": 0.
|
427 |
-
"precision": 0.
|
428 |
-
"recall": 0.
|
429 |
-
"support":
|
430 |
},
|
431 |
"eval_MajorClaim": {
|
432 |
-
"f1-score": 0.
|
433 |
-
"precision": 0.
|
434 |
-
"recall": 0.
|
435 |
-
"support":
|
436 |
},
|
437 |
"eval_O": {
|
438 |
-
"f1-score": 0.
|
439 |
-
"precision":
|
440 |
-
"recall": 0.
|
441 |
-
"support":
|
442 |
},
|
443 |
"eval_Premise": {
|
444 |
-
"f1-score": 0.
|
445 |
-
"precision": 0.
|
446 |
-
"recall": 0.
|
447 |
-
"support":
|
448 |
},
|
449 |
-
"eval_accuracy": 0.
|
450 |
-
"eval_loss": 0.
|
451 |
"eval_macro avg": {
|
452 |
-
"f1-score": 0.
|
453 |
-
"precision": 0.
|
454 |
-
"recall": 0.
|
455 |
-
"support":
|
456 |
-
},
|
457 |
-
"eval_runtime": 4.
|
458 |
-
"eval_samples_per_second": 16.
|
459 |
-
"eval_steps_per_second": 2.
|
460 |
"eval_weighted avg": {
|
461 |
-
"f1-score": 0.
|
462 |
-
"precision": 0.
|
463 |
-
"recall": 0.
|
464 |
-
"support":
|
465 |
},
|
466 |
"step": 810
|
467 |
},
|
468 |
{
|
469 |
"epoch": 11.0,
|
470 |
"eval_Claim": {
|
471 |
-
"f1-score": 0.
|
472 |
-
"precision": 0.
|
473 |
-
"recall": 0.
|
474 |
-
"support":
|
475 |
},
|
476 |
"eval_MajorClaim": {
|
477 |
-
"f1-score": 0.
|
478 |
-
"precision": 0.
|
479 |
-
"recall": 0.
|
480 |
-
"support":
|
481 |
},
|
482 |
"eval_O": {
|
483 |
-
"f1-score":
|
484 |
-
"precision":
|
485 |
"recall": 1.0,
|
486 |
-
"support":
|
487 |
},
|
488 |
"eval_Premise": {
|
489 |
-
"f1-score": 0.
|
490 |
-
"precision": 0.
|
491 |
-
"recall": 0.
|
492 |
-
"support":
|
493 |
},
|
494 |
-
"eval_accuracy": 0.
|
495 |
-
"eval_loss": 0.
|
496 |
"eval_macro avg": {
|
497 |
-
"f1-score": 0.
|
498 |
-
"precision": 0.
|
499 |
-
"recall": 0.
|
500 |
-
"support":
|
501 |
-
},
|
502 |
-
"eval_runtime": 4.
|
503 |
-
"eval_samples_per_second": 16.
|
504 |
-
"eval_steps_per_second": 2.
|
505 |
"eval_weighted avg": {
|
506 |
-
"f1-score": 0.
|
507 |
-
"precision": 0.
|
508 |
-
"recall": 0.
|
509 |
-
"support":
|
510 |
},
|
511 |
"step": 891
|
512 |
},
|
513 |
{
|
514 |
"epoch": 12.0,
|
515 |
"eval_Claim": {
|
516 |
-
"f1-score": 0.
|
517 |
-
"precision": 0.
|
518 |
-
"recall": 0.
|
519 |
-
"support":
|
520 |
},
|
521 |
"eval_MajorClaim": {
|
522 |
-
"f1-score": 0.
|
523 |
-
"precision": 0.
|
524 |
-
"recall": 0.
|
525 |
-
"support":
|
526 |
},
|
527 |
"eval_O": {
|
528 |
-
"f1-score": 0.
|
529 |
-
"precision":
|
530 |
-
"recall": 0.
|
531 |
-
"support":
|
532 |
},
|
533 |
"eval_Premise": {
|
534 |
-
"f1-score": 0.
|
535 |
-
"precision": 0.
|
536 |
-
"recall": 0.
|
537 |
-
"support":
|
538 |
},
|
539 |
-
"eval_accuracy": 0.
|
540 |
-
"eval_loss": 0.
|
541 |
"eval_macro avg": {
|
542 |
-
"f1-score": 0.
|
543 |
-
"precision": 0.
|
544 |
-
"recall": 0.
|
545 |
-
"support":
|
546 |
-
},
|
547 |
-
"eval_runtime": 4.
|
548 |
-
"eval_samples_per_second": 16.
|
549 |
-
"eval_steps_per_second": 2.
|
550 |
"eval_weighted avg": {
|
551 |
-
"f1-score": 0.
|
552 |
-
"precision": 0.
|
553 |
-
"recall": 0.
|
554 |
-
"support":
|
555 |
},
|
556 |
"step": 972
|
557 |
},
|
558 |
{
|
559 |
"epoch": 12.35,
|
560 |
-
"grad_norm":
|
561 |
"learning_rate": 1.506172839506173e-05,
|
562 |
-
"loss": 0.
|
563 |
"step": 1000
|
564 |
},
|
565 |
{
|
566 |
"epoch": 13.0,
|
567 |
"eval_Claim": {
|
568 |
-
"f1-score": 0.
|
569 |
-
"precision": 0.
|
570 |
-
"recall": 0.
|
571 |
-
"support":
|
572 |
},
|
573 |
"eval_MajorClaim": {
|
574 |
-
"f1-score": 0.
|
575 |
-
"precision": 0.
|
576 |
-
"recall": 0.
|
577 |
-
"support":
|
578 |
},
|
579 |
"eval_O": {
|
580 |
-
"f1-score": 0.
|
581 |
-
"precision": 0.
|
582 |
-
"recall": 0.
|
583 |
-
"support":
|
584 |
},
|
585 |
"eval_Premise": {
|
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": 16.
|
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": 1053
|
609 |
},
|
610 |
{
|
611 |
"epoch": 14.0,
|
612 |
"eval_Claim": {
|
613 |
-
"f1-score": 0.
|
614 |
-
"precision": 0.
|
615 |
-
"recall": 0.
|
616 |
-
"support":
|
617 |
},
|
618 |
"eval_MajorClaim": {
|
619 |
-
"f1-score": 0.
|
620 |
-
"precision": 0.
|
621 |
-
"recall": 0.
|
622 |
-
"support":
|
623 |
},
|
624 |
"eval_O": {
|
625 |
-
"f1-score": 0.
|
626 |
"precision": 1.0,
|
627 |
-
"recall": 0.
|
628 |
-
"support":
|
629 |
},
|
630 |
"eval_Premise": {
|
631 |
-
"f1-score": 0.
|
632 |
-
"precision": 0.
|
633 |
-
"recall": 0.
|
634 |
-
"support":
|
635 |
},
|
636 |
-
"eval_accuracy": 0.
|
637 |
-
"eval_loss": 0.
|
638 |
"eval_macro avg": {
|
639 |
-
"f1-score": 0.
|
640 |
-
"precision": 0.
|
641 |
-
"recall": 0.
|
642 |
-
"support":
|
643 |
},
|
644 |
-
"eval_runtime": 4.
|
645 |
-
"eval_samples_per_second": 16.
|
646 |
-
"eval_steps_per_second": 2.
|
647 |
"eval_weighted avg": {
|
648 |
-
"f1-score": 0.
|
649 |
-
"precision": 0.
|
650 |
-
"recall": 0.
|
651 |
-
"support":
|
652 |
},
|
653 |
"step": 1134
|
654 |
},
|
655 |
{
|
656 |
"epoch": 15.0,
|
657 |
"eval_Claim": {
|
658 |
-
"f1-score": 0.
|
659 |
-
"precision": 0.
|
660 |
-
"recall": 0.
|
661 |
-
"support":
|
662 |
},
|
663 |
"eval_MajorClaim": {
|
664 |
-
"f1-score": 0.
|
665 |
-
"precision": 0.
|
666 |
-
"recall": 0.
|
667 |
-
"support":
|
668 |
},
|
669 |
"eval_O": {
|
670 |
-
"f1-score": 0.
|
671 |
"precision": 1.0,
|
672 |
-
"recall": 0.
|
673 |
-
"support":
|
674 |
},
|
675 |
"eval_Premise": {
|
676 |
-
"f1-score": 0.
|
677 |
-
"precision": 0.
|
678 |
-
"recall": 0.
|
679 |
-
"support":
|
680 |
},
|
681 |
-
"eval_accuracy": 0.
|
682 |
-
"eval_loss": 0.
|
683 |
"eval_macro avg": {
|
684 |
-
"f1-score": 0.
|
685 |
-
"precision": 0.
|
686 |
-
"recall": 0.
|
687 |
-
"support":
|
688 |
-
},
|
689 |
-
"eval_runtime": 4.
|
690 |
-
"eval_samples_per_second": 16.
|
691 |
-
"eval_steps_per_second": 2.
|
692 |
"eval_weighted avg": {
|
693 |
-
"f1-score": 0.
|
694 |
-
"precision": 0.
|
695 |
-
"recall": 0.
|
696 |
-
"support":
|
697 |
},
|
698 |
"step": 1215
|
699 |
},
|
700 |
{
|
701 |
"epoch": 16.0,
|
702 |
"eval_Claim": {
|
703 |
-
"f1-score": 0.
|
704 |
-
"precision": 0.
|
705 |
-
"recall": 0.
|
706 |
-
"support":
|
707 |
},
|
708 |
"eval_MajorClaim": {
|
709 |
-
"f1-score": 0.
|
710 |
-
"precision": 0.
|
711 |
-
"recall": 0.
|
712 |
-
"support":
|
713 |
},
|
714 |
"eval_O": {
|
715 |
-
"f1-score": 0.
|
716 |
"precision": 1.0,
|
717 |
-
"recall": 0.
|
718 |
-
"support":
|
719 |
},
|
720 |
"eval_Premise": {
|
721 |
-
"f1-score": 0.
|
722 |
-
"precision": 0.
|
723 |
-
"recall": 0.
|
724 |
-
"support":
|
725 |
},
|
726 |
-
"eval_accuracy": 0.
|
727 |
-
"eval_loss": 0.
|
728 |
"eval_macro avg": {
|
729 |
-
"f1-score": 0.
|
730 |
-
"precision": 0.
|
731 |
-
"recall": 0.
|
732 |
-
"support":
|
733 |
-
},
|
734 |
-
"eval_runtime": 4.
|
735 |
-
"eval_samples_per_second": 16.
|
736 |
-
"eval_steps_per_second": 2.
|
737 |
"eval_weighted avg": {
|
738 |
-
"f1-score": 0.
|
739 |
-
"precision": 0.
|
740 |
-
"recall": 0.
|
741 |
-
"support":
|
742 |
},
|
743 |
"step": 1296
|
744 |
},
|
745 |
{
|
746 |
"epoch": 17.0,
|
747 |
"eval_Claim": {
|
748 |
-
"f1-score": 0.
|
749 |
-
"precision": 0.
|
750 |
-
"recall": 0.
|
751 |
-
"support":
|
752 |
},
|
753 |
"eval_MajorClaim": {
|
754 |
-
"f1-score": 0.
|
755 |
-
"precision": 0.
|
756 |
-
"recall": 0.
|
757 |
-
"support":
|
758 |
},
|
759 |
"eval_O": {
|
760 |
-
"f1-score": 0.
|
761 |
"precision": 1.0,
|
762 |
-
"recall": 0.
|
763 |
-
"support":
|
764 |
},
|
765 |
"eval_Premise": {
|
766 |
-
"f1-score": 0.
|
767 |
-
"precision": 0.
|
768 |
-
"recall": 0.
|
769 |
-
"support":
|
770 |
},
|
771 |
-
"eval_accuracy": 0.
|
772 |
-
"eval_loss": 0.
|
773 |
"eval_macro avg": {
|
774 |
-
"f1-score": 0.
|
775 |
-
"precision": 0.
|
776 |
-
"recall": 0.
|
777 |
-
"support":
|
778 |
-
},
|
779 |
-
"eval_runtime": 4.
|
780 |
-
"eval_samples_per_second": 16.
|
781 |
-
"eval_steps_per_second": 2.
|
782 |
"eval_weighted avg": {
|
783 |
-
"f1-score": 0.
|
784 |
-
"precision": 0.
|
785 |
-
"recall": 0.
|
786 |
-
"support":
|
787 |
},
|
788 |
"step": 1377
|
789 |
},
|
790 |
{
|
791 |
"epoch": 18.0,
|
792 |
"eval_Claim": {
|
793 |
-
"f1-score": 0.
|
794 |
-
"precision": 0.
|
795 |
-
"recall": 0.
|
796 |
-
"support":
|
797 |
},
|
798 |
"eval_MajorClaim": {
|
799 |
-
"f1-score": 0.
|
800 |
-
"precision": 0.
|
801 |
-
"recall": 0.
|
802 |
-
"support":
|
803 |
},
|
804 |
"eval_O": {
|
805 |
-
"f1-score": 0.
|
806 |
-
"precision": 0
|
807 |
-
"recall": 0.
|
808 |
-
"support":
|
809 |
},
|
810 |
"eval_Premise": {
|
811 |
-
"f1-score": 0.
|
812 |
-
"precision": 0.
|
813 |
-
"recall": 0.
|
814 |
-
"support":
|
815 |
},
|
816 |
-
"eval_accuracy": 0.
|
817 |
-
"eval_loss": 0.
|
818 |
"eval_macro avg": {
|
819 |
-
"f1-score": 0.
|
820 |
-
"precision": 0.
|
821 |
-
"recall": 0.
|
822 |
-
"support":
|
823 |
-
},
|
824 |
-
"eval_runtime": 4.
|
825 |
-
"eval_samples_per_second": 16.
|
826 |
-
"eval_steps_per_second": 2.
|
827 |
"eval_weighted avg": {
|
828 |
-
"f1-score": 0.
|
829 |
-
"precision": 0.
|
830 |
-
"recall": 0.
|
831 |
-
"support":
|
832 |
},
|
833 |
"step": 1458
|
834 |
},
|
835 |
{
|
836 |
"epoch": 18.52,
|
837 |
-
"grad_norm":
|
838 |
"learning_rate": 1.2592592592592593e-05,
|
839 |
-
"loss": 0.
|
840 |
"step": 1500
|
841 |
},
|
842 |
{
|
843 |
"epoch": 19.0,
|
844 |
"eval_Claim": {
|
845 |
-
"f1-score": 0.
|
846 |
-
"precision": 0.
|
847 |
-
"recall": 0.
|
848 |
-
"support":
|
849 |
},
|
850 |
"eval_MajorClaim": {
|
851 |
-
"f1-score": 0.
|
852 |
-
"precision": 0.
|
853 |
-
"recall": 0.
|
854 |
-
"support":
|
855 |
},
|
856 |
"eval_O": {
|
857 |
-
"f1-score": 0.
|
858 |
"precision": 1.0,
|
859 |
-
"recall": 0.
|
860 |
-
"support":
|
861 |
},
|
862 |
"eval_Premise": {
|
863 |
-
"f1-score": 0.
|
864 |
-
"precision": 0.
|
865 |
-
"recall": 0.
|
866 |
-
"support":
|
867 |
},
|
868 |
-
"eval_accuracy": 0.
|
869 |
-
"eval_loss": 0.
|
870 |
"eval_macro avg": {
|
871 |
-
"f1-score": 0.
|
872 |
-
"precision": 0.
|
873 |
-
"recall": 0.
|
874 |
-
"support":
|
875 |
-
},
|
876 |
-
"eval_runtime": 4.
|
877 |
-
"eval_samples_per_second": 16.
|
878 |
-
"eval_steps_per_second": 2.
|
879 |
"eval_weighted avg": {
|
880 |
-
"f1-score": 0.
|
881 |
-
"precision": 0.
|
882 |
-
"recall": 0.
|
883 |
-
"support":
|
884 |
},
|
885 |
"step": 1539
|
886 |
},
|
887 |
{
|
888 |
"epoch": 20.0,
|
889 |
"eval_Claim": {
|
890 |
-
"f1-score": 0.
|
891 |
-
"precision": 0.
|
892 |
-
"recall": 0.
|
893 |
-
"support":
|
894 |
},
|
895 |
"eval_MajorClaim": {
|
896 |
-
"f1-score": 0.
|
897 |
-
"precision": 0.
|
898 |
-
"recall": 0.
|
899 |
-
"support":
|
900 |
},
|
901 |
"eval_O": {
|
902 |
-
"f1-score": 0.
|
903 |
"precision": 1.0,
|
904 |
-
"recall": 0.
|
905 |
-
"support":
|
906 |
},
|
907 |
"eval_Premise": {
|
908 |
-
"f1-score": 0.
|
909 |
-
"precision": 0.
|
910 |
-
"recall": 0.
|
911 |
-
"support":
|
912 |
},
|
913 |
-
"eval_accuracy": 0.
|
914 |
-
"eval_loss": 0.
|
915 |
"eval_macro avg": {
|
916 |
-
"f1-score": 0.
|
917 |
-
"precision": 0.
|
918 |
-
"recall": 0.
|
919 |
-
"support":
|
920 |
-
},
|
921 |
-
"eval_runtime": 4.
|
922 |
-
"eval_samples_per_second": 16.
|
923 |
-
"eval_steps_per_second": 2.
|
924 |
"eval_weighted avg": {
|
925 |
-
"f1-score": 0.
|
926 |
-
"precision": 0.
|
927 |
-
"recall": 0.
|
928 |
-
"support":
|
929 |
},
|
930 |
"step": 1620
|
931 |
},
|
932 |
{
|
933 |
"epoch": 21.0,
|
934 |
"eval_Claim": {
|
935 |
-
"f1-score": 0.
|
936 |
-
"precision": 0.
|
937 |
-
"recall": 0.
|
938 |
-
"support":
|
939 |
},
|
940 |
"eval_MajorClaim": {
|
941 |
-
"f1-score": 0.
|
942 |
-
"precision": 0.
|
943 |
-
"recall": 0.
|
944 |
-
"support":
|
945 |
},
|
946 |
"eval_O": {
|
947 |
-
"f1-score": 0.
|
948 |
-
"precision": 0.
|
949 |
-
"recall":
|
950 |
-
"support":
|
951 |
},
|
952 |
"eval_Premise": {
|
953 |
-
"f1-score": 0.
|
954 |
-
"precision": 0.
|
955 |
-
"recall": 0.
|
956 |
-
"support":
|
957 |
},
|
958 |
-
"eval_accuracy": 0.
|
959 |
-
"eval_loss": 0.
|
960 |
"eval_macro avg": {
|
961 |
-
"f1-score": 0.
|
962 |
-
"precision": 0.
|
963 |
-
"recall": 0.
|
964 |
-
"support":
|
965 |
-
},
|
966 |
-
"eval_runtime": 4.
|
967 |
-
"eval_samples_per_second": 16.
|
968 |
-
"eval_steps_per_second": 2.
|
969 |
"eval_weighted avg": {
|
970 |
-
"f1-score": 0.
|
971 |
-
"precision": 0.
|
972 |
-
"recall": 0.
|
973 |
-
"support":
|
974 |
},
|
975 |
"step": 1701
|
976 |
},
|
977 |
{
|
978 |
"epoch": 22.0,
|
979 |
"eval_Claim": {
|
980 |
-
"f1-score": 0.
|
981 |
-
"precision": 0.
|
982 |
-
"recall": 0.
|
983 |
-
"support":
|
984 |
},
|
985 |
"eval_MajorClaim": {
|
986 |
-
"f1-score": 0.
|
987 |
-
"precision": 0.
|
988 |
-
"recall": 0.
|
989 |
-
"support":
|
990 |
},
|
991 |
"eval_O": {
|
992 |
-
"f1-score": 0.
|
993 |
-
"precision": 0
|
994 |
-
"recall":
|
995 |
-
"support":
|
996 |
},
|
997 |
"eval_Premise": {
|
998 |
-
"f1-score": 0.
|
999 |
-
"precision": 0.
|
1000 |
-
"recall": 0.
|
1001 |
-
"support":
|
1002 |
},
|
1003 |
-
"eval_accuracy": 0.
|
1004 |
-
"eval_loss": 0.
|
1005 |
"eval_macro avg": {
|
1006 |
-
"f1-score": 0.
|
1007 |
-
"precision": 0.
|
1008 |
-
"recall": 0.
|
1009 |
-
"support":
|
1010 |
-
},
|
1011 |
-
"eval_runtime": 4.
|
1012 |
-
"eval_samples_per_second": 16.
|
1013 |
-
"eval_steps_per_second": 2.
|
1014 |
"eval_weighted avg": {
|
1015 |
-
"f1-score": 0.
|
1016 |
-
"precision": 0.
|
1017 |
-
"recall": 0.
|
1018 |
-
"support":
|
1019 |
},
|
1020 |
"step": 1782
|
1021 |
},
|
1022 |
{
|
1023 |
"epoch": 23.0,
|
1024 |
"eval_Claim": {
|
1025 |
-
"f1-score": 0.
|
1026 |
-
"precision": 0.
|
1027 |
-
"recall": 0.
|
1028 |
-
"support":
|
1029 |
},
|
1030 |
"eval_MajorClaim": {
|
1031 |
-
"f1-score": 0.
|
1032 |
-
"precision": 0.
|
1033 |
-
"recall": 0.
|
1034 |
-
"support":
|
1035 |
},
|
1036 |
"eval_O": {
|
1037 |
-
"f1-score": 0.
|
1038 |
-
"precision":
|
1039 |
-
"recall": 0.
|
1040 |
-
"support":
|
1041 |
},
|
1042 |
"eval_Premise": {
|
1043 |
-
"f1-score": 0.
|
1044 |
-
"precision": 0.
|
1045 |
-
"recall": 0.
|
1046 |
-
"support":
|
1047 |
},
|
1048 |
-
"eval_accuracy": 0.
|
1049 |
-
"eval_loss": 0.
|
1050 |
"eval_macro avg": {
|
1051 |
-
"f1-score": 0.
|
1052 |
-
"precision": 0.
|
1053 |
-
"recall": 0.
|
1054 |
-
"support":
|
1055 |
-
},
|
1056 |
-
"eval_runtime": 4.
|
1057 |
-
"eval_samples_per_second": 16.
|
1058 |
-
"eval_steps_per_second": 2.
|
1059 |
"eval_weighted avg": {
|
1060 |
-
"f1-score": 0.
|
1061 |
-
"precision": 0.
|
1062 |
-
"recall": 0.
|
1063 |
-
"support":
|
1064 |
},
|
1065 |
"step": 1863
|
1066 |
},
|
1067 |
{
|
1068 |
"epoch": 24.0,
|
1069 |
"eval_Claim": {
|
1070 |
-
"f1-score": 0.
|
1071 |
-
"precision": 0.
|
1072 |
-
"recall": 0.
|
1073 |
-
"support":
|
1074 |
},
|
1075 |
"eval_MajorClaim": {
|
1076 |
-
"f1-score": 0.
|
1077 |
-
"precision": 0.
|
1078 |
-
"recall": 0.
|
1079 |
-
"support":
|
1080 |
},
|
1081 |
"eval_O": {
|
1082 |
-
"f1-score": 0.
|
1083 |
"precision": 1.0,
|
1084 |
-
"recall": 0.
|
1085 |
-
"support":
|
1086 |
},
|
1087 |
"eval_Premise": {
|
1088 |
-
"f1-score": 0.
|
1089 |
-
"precision": 0.
|
1090 |
-
"recall": 0.
|
1091 |
-
"support":
|
1092 |
},
|
1093 |
-
"eval_accuracy": 0.
|
1094 |
-
"eval_loss": 0.
|
1095 |
"eval_macro avg": {
|
1096 |
-
"f1-score": 0.
|
1097 |
-
"precision": 0.
|
1098 |
-
"recall": 0.
|
1099 |
-
"support":
|
1100 |
-
},
|
1101 |
-
"eval_runtime": 4.
|
1102 |
-
"eval_samples_per_second": 16.
|
1103 |
-
"eval_steps_per_second": 2.
|
1104 |
"eval_weighted avg": {
|
1105 |
-
"f1-score": 0.
|
1106 |
-
"precision": 0.
|
1107 |
-
"recall": 0.
|
1108 |
-
"support":
|
1109 |
},
|
1110 |
"step": 1944
|
1111 |
},
|
1112 |
{
|
1113 |
"epoch": 24.69,
|
1114 |
-
"grad_norm": 0.
|
1115 |
"learning_rate": 1.0123456790123458e-05,
|
1116 |
-
"loss": 0.
|
1117 |
"step": 2000
|
1118 |
},
|
1119 |
{
|
1120 |
"epoch": 25.0,
|
1121 |
"eval_Claim": {
|
1122 |
-
"f1-score": 0.
|
1123 |
-
"precision": 0.
|
1124 |
-
"recall": 0.
|
1125 |
-
"support":
|
1126 |
},
|
1127 |
"eval_MajorClaim": {
|
1128 |
-
"f1-score": 0.
|
1129 |
-
"precision": 0.
|
1130 |
-
"recall": 0.
|
1131 |
-
"support":
|
1132 |
},
|
1133 |
"eval_O": {
|
1134 |
-
"f1-score":
|
1135 |
"precision": 1.0,
|
1136 |
-
"recall":
|
1137 |
-
"support":
|
1138 |
},
|
1139 |
"eval_Premise": {
|
1140 |
-
"f1-score": 0.
|
1141 |
-
"precision": 0.
|
1142 |
-
"recall": 0.
|
1143 |
-
"support":
|
1144 |
},
|
1145 |
-
"eval_accuracy": 0.
|
1146 |
-
"eval_loss": 0.
|
1147 |
"eval_macro avg": {
|
1148 |
-
"f1-score": 0.
|
1149 |
-
"precision": 0.
|
1150 |
-
"recall": 0.
|
1151 |
-
"support":
|
1152 |
-
},
|
1153 |
-
"eval_runtime": 4.
|
1154 |
-
"eval_samples_per_second": 16.
|
1155 |
-
"eval_steps_per_second": 2.
|
1156 |
"eval_weighted avg": {
|
1157 |
-
"f1-score": 0.
|
1158 |
-
"precision": 0.
|
1159 |
-
"recall": 0.
|
1160 |
-
"support":
|
1161 |
},
|
1162 |
"step": 2025
|
1163 |
},
|
1164 |
{
|
1165 |
"epoch": 26.0,
|
1166 |
"eval_Claim": {
|
1167 |
-
"f1-score": 0.
|
1168 |
-
"precision": 0.
|
1169 |
-
"recall": 0.
|
1170 |
-
"support":
|
1171 |
},
|
1172 |
"eval_MajorClaim": {
|
1173 |
-
"f1-score": 0.
|
1174 |
-
"precision": 0.
|
1175 |
-
"recall": 0.
|
1176 |
-
"support":
|
1177 |
},
|
1178 |
"eval_O": {
|
1179 |
-
"f1-score":
|
1180 |
"precision": 1.0,
|
1181 |
-
"recall":
|
1182 |
-
"support":
|
1183 |
},
|
1184 |
"eval_Premise": {
|
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": 16.
|
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": 2106
|
1208 |
},
|
1209 |
{
|
1210 |
"epoch": 27.0,
|
1211 |
"eval_Claim": {
|
1212 |
-
"f1-score": 0.
|
1213 |
-
"precision": 0.
|
1214 |
-
"recall": 0.
|
1215 |
-
"support":
|
1216 |
},
|
1217 |
"eval_MajorClaim": {
|
1218 |
-
"f1-score": 0.
|
1219 |
-
"precision": 0.
|
1220 |
-
"recall": 0.
|
1221 |
-
"support":
|
1222 |
},
|
1223 |
"eval_O": {
|
1224 |
-
"f1-score":
|
1225 |
"precision": 1.0,
|
1226 |
-
"recall":
|
1227 |
-
"support":
|
1228 |
},
|
1229 |
"eval_Premise": {
|
1230 |
-
"f1-score": 0.
|
1231 |
-
"precision": 0.
|
1232 |
-
"recall": 0.
|
1233 |
-
"support":
|
1234 |
},
|
1235 |
-
"eval_accuracy": 0.
|
1236 |
-
"eval_loss": 0.
|
1237 |
"eval_macro avg": {
|
1238 |
-
"f1-score": 0.
|
1239 |
-
"precision": 0.
|
1240 |
-
"recall": 0.
|
1241 |
-
"support":
|
1242 |
-
},
|
1243 |
-
"eval_runtime": 4.
|
1244 |
-
"eval_samples_per_second": 16.
|
1245 |
-
"eval_steps_per_second": 2.
|
1246 |
"eval_weighted avg": {
|
1247 |
-
"f1-score": 0.
|
1248 |
-
"precision": 0.
|
1249 |
-
"recall": 0.
|
1250 |
-
"support":
|
1251 |
},
|
1252 |
"step": 2187
|
1253 |
},
|
1254 |
{
|
1255 |
"epoch": 28.0,
|
1256 |
"eval_Claim": {
|
1257 |
-
"f1-score": 0.
|
1258 |
-
"precision": 0.
|
1259 |
-
"recall": 0.
|
1260 |
-
"support":
|
1261 |
},
|
1262 |
"eval_MajorClaim": {
|
1263 |
-
"f1-score": 0.
|
1264 |
-
"precision": 0.
|
1265 |
-
"recall": 0.
|
1266 |
-
"support":
|
1267 |
},
|
1268 |
"eval_O": {
|
1269 |
-
"f1-score":
|
1270 |
"precision": 1.0,
|
1271 |
-
"recall":
|
1272 |
-
"support":
|
1273 |
},
|
1274 |
"eval_Premise": {
|
1275 |
-
"f1-score": 0.
|
1276 |
-
"precision": 0.
|
1277 |
-
"recall": 0.
|
1278 |
-
"support":
|
1279 |
},
|
1280 |
-
"eval_accuracy": 0.
|
1281 |
-
"eval_loss": 0.
|
1282 |
"eval_macro avg": {
|
1283 |
-
"f1-score": 0.
|
1284 |
-
"precision": 0.
|
1285 |
-
"recall": 0.
|
1286 |
-
"support":
|
1287 |
-
},
|
1288 |
-
"eval_runtime": 4.
|
1289 |
-
"eval_samples_per_second": 16.
|
1290 |
-
"eval_steps_per_second": 2.
|
1291 |
"eval_weighted avg": {
|
1292 |
-
"f1-score": 0.
|
1293 |
-
"precision": 0.
|
1294 |
-
"recall": 0.
|
1295 |
-
"support":
|
1296 |
},
|
1297 |
"step": 2268
|
1298 |
},
|
1299 |
{
|
1300 |
"epoch": 29.0,
|
1301 |
"eval_Claim": {
|
1302 |
-
"f1-score": 0.
|
1303 |
-
"precision": 0.
|
1304 |
-
"recall": 0.
|
1305 |
-
"support":
|
1306 |
},
|
1307 |
"eval_MajorClaim": {
|
1308 |
-
"f1-score": 0.
|
1309 |
-
"precision": 0.
|
1310 |
-
"recall": 0.
|
1311 |
-
"support":
|
1312 |
},
|
1313 |
"eval_O": {
|
1314 |
-
"f1-score": 0.
|
1315 |
"precision": 1.0,
|
1316 |
-
"recall": 0.
|
1317 |
-
"support":
|
1318 |
},
|
1319 |
"eval_Premise": {
|
1320 |
-
"f1-score": 0.
|
1321 |
-
"precision": 0.
|
1322 |
-
"recall": 0.
|
1323 |
-
"support":
|
1324 |
},
|
1325 |
-
"eval_accuracy": 0.
|
1326 |
-
"eval_loss": 0.
|
1327 |
"eval_macro avg": {
|
1328 |
-
"f1-score": 0.
|
1329 |
-
"precision": 0.
|
1330 |
-
"recall": 0.
|
1331 |
-
"support":
|
1332 |
-
},
|
1333 |
-
"eval_runtime": 4.
|
1334 |
-
"eval_samples_per_second": 16.
|
1335 |
-
"eval_steps_per_second": 2.
|
1336 |
"eval_weighted avg": {
|
1337 |
-
"f1-score": 0.
|
1338 |
-
"precision": 0.
|
1339 |
-
"recall": 0.
|
1340 |
-
"support":
|
1341 |
},
|
1342 |
"step": 2349
|
1343 |
},
|
1344 |
{
|
1345 |
"epoch": 30.0,
|
1346 |
"eval_Claim": {
|
1347 |
-
"f1-score": 0.
|
1348 |
-
"precision": 0.
|
1349 |
-
"recall": 0.
|
1350 |
-
"support":
|
1351 |
},
|
1352 |
"eval_MajorClaim": {
|
1353 |
-
"f1-score": 0.
|
1354 |
-
"precision": 0.
|
1355 |
-
"recall": 0.
|
1356 |
-
"support":
|
1357 |
},
|
1358 |
"eval_O": {
|
1359 |
-
"f1-score": 0.
|
1360 |
"precision": 1.0,
|
1361 |
-
"recall": 0.
|
1362 |
-
"support":
|
1363 |
},
|
1364 |
"eval_Premise": {
|
1365 |
-
"f1-score": 0.
|
1366 |
-
"precision": 0.
|
1367 |
-
"recall": 0.
|
1368 |
-
"support":
|
1369 |
},
|
1370 |
-
"eval_accuracy": 0.
|
1371 |
-
"eval_loss": 0.
|
1372 |
"eval_macro avg": {
|
1373 |
-
"f1-score": 0.
|
1374 |
-
"precision": 0.
|
1375 |
-
"recall": 0.
|
1376 |
-
"support":
|
1377 |
-
},
|
1378 |
-
"eval_runtime": 4.
|
1379 |
-
"eval_samples_per_second": 16.
|
1380 |
-
"eval_steps_per_second": 2.
|
1381 |
"eval_weighted avg": {
|
1382 |
-
"f1-score": 0.
|
1383 |
-
"precision": 0.
|
1384 |
-
"recall": 0.
|
1385 |
-
"support":
|
1386 |
},
|
1387 |
"step": 2430
|
1388 |
},
|
1389 |
{
|
1390 |
"epoch": 30.86,
|
1391 |
-
"grad_norm": 0.
|
1392 |
"learning_rate": 7.654320987654322e-06,
|
1393 |
-
"loss": 0.
|
1394 |
"step": 2500
|
1395 |
},
|
1396 |
{
|
1397 |
"epoch": 31.0,
|
1398 |
"eval_Claim": {
|
1399 |
-
"f1-score": 0.
|
1400 |
-
"precision": 0.
|
1401 |
-
"recall": 0.
|
1402 |
-
"support":
|
1403 |
},
|
1404 |
"eval_MajorClaim": {
|
1405 |
-
"f1-score": 0.
|
1406 |
-
"precision": 0.
|
1407 |
-
"recall": 0.
|
1408 |
-
"support":
|
1409 |
},
|
1410 |
"eval_O": {
|
1411 |
-
"f1-score": 0.
|
1412 |
"precision": 1.0,
|
1413 |
-
"recall": 0.
|
1414 |
-
"support":
|
1415 |
},
|
1416 |
"eval_Premise": {
|
1417 |
-
"f1-score": 0.
|
1418 |
-
"precision": 0.
|
1419 |
-
"recall": 0.
|
1420 |
-
"support":
|
1421 |
},
|
1422 |
-
"eval_accuracy": 0.
|
1423 |
-
"eval_loss": 0.
|
1424 |
"eval_macro avg": {
|
1425 |
-
"f1-score": 0.
|
1426 |
-
"precision": 0.
|
1427 |
-
"recall": 0.
|
1428 |
-
"support":
|
1429 |
-
},
|
1430 |
-
"eval_runtime": 4.
|
1431 |
-
"eval_samples_per_second": 16.
|
1432 |
-
"eval_steps_per_second": 2.
|
1433 |
"eval_weighted avg": {
|
1434 |
-
"f1-score": 0.
|
1435 |
-
"precision": 0.
|
1436 |
-
"recall": 0.
|
1437 |
-
"support":
|
1438 |
},
|
1439 |
"step": 2511
|
1440 |
},
|
1441 |
{
|
1442 |
"epoch": 32.0,
|
1443 |
"eval_Claim": {
|
1444 |
-
"f1-score": 0.
|
1445 |
-
"precision": 0.
|
1446 |
-
"recall": 0.
|
1447 |
-
"support":
|
1448 |
},
|
1449 |
"eval_MajorClaim": {
|
1450 |
-
"f1-score": 0.
|
1451 |
-
"precision": 0.
|
1452 |
-
"recall": 0.
|
1453 |
-
"support":
|
1454 |
},
|
1455 |
"eval_O": {
|
1456 |
-
"f1-score": 0.
|
1457 |
"precision": 1.0,
|
1458 |
-
"recall": 0.
|
1459 |
-
"support":
|
1460 |
},
|
1461 |
"eval_Premise": {
|
1462 |
-
"f1-score": 0.
|
1463 |
-
"precision": 0.
|
1464 |
-
"recall": 0.
|
1465 |
-
"support":
|
1466 |
},
|
1467 |
-
"eval_accuracy": 0.
|
1468 |
-
"eval_loss": 0.
|
1469 |
"eval_macro avg": {
|
1470 |
-
"f1-score": 0.
|
1471 |
-
"precision": 0.
|
1472 |
-
"recall": 0.
|
1473 |
-
"support":
|
1474 |
-
},
|
1475 |
-
"eval_runtime": 4.
|
1476 |
-
"eval_samples_per_second": 16.
|
1477 |
-
"eval_steps_per_second": 2.
|
1478 |
"eval_weighted avg": {
|
1479 |
-
"f1-score": 0.
|
1480 |
-
"precision": 0.
|
1481 |
-
"recall": 0.
|
1482 |
-
"support":
|
1483 |
},
|
1484 |
"step": 2592
|
1485 |
},
|
1486 |
{
|
1487 |
"epoch": 33.0,
|
1488 |
"eval_Claim": {
|
1489 |
-
"f1-score": 0.
|
1490 |
-
"precision": 0.
|
1491 |
-
"recall": 0.
|
1492 |
-
"support":
|
1493 |
},
|
1494 |
"eval_MajorClaim": {
|
1495 |
-
"f1-score": 0.
|
1496 |
-
"precision": 0.
|
1497 |
-
"recall": 0.
|
1498 |
-
"support":
|
1499 |
},
|
1500 |
"eval_O": {
|
1501 |
-
"f1-score": 0.
|
1502 |
"precision": 1.0,
|
1503 |
-
"recall": 0.
|
1504 |
-
"support":
|
1505 |
},
|
1506 |
"eval_Premise": {
|
1507 |
-
"f1-score": 0.
|
1508 |
-
"precision": 0.
|
1509 |
-
"recall": 0.
|
1510 |
-
"support":
|
1511 |
},
|
1512 |
-
"eval_accuracy": 0.
|
1513 |
-
"eval_loss": 0.
|
1514 |
"eval_macro avg": {
|
1515 |
-
"f1-score": 0.
|
1516 |
-
"precision": 0.
|
1517 |
-
"recall": 0.
|
1518 |
-
"support":
|
1519 |
-
},
|
1520 |
-
"eval_runtime": 4.
|
1521 |
-
"eval_samples_per_second": 16.
|
1522 |
-
"eval_steps_per_second": 2.
|
1523 |
"eval_weighted avg": {
|
1524 |
-
"f1-score": 0.
|
1525 |
-
"precision": 0.
|
1526 |
-
"recall": 0.
|
1527 |
-
"support":
|
1528 |
},
|
1529 |
"step": 2673
|
1530 |
},
|
1531 |
{
|
1532 |
"epoch": 34.0,
|
1533 |
"eval_Claim": {
|
1534 |
-
"f1-score": 0.
|
1535 |
-
"precision": 0.
|
1536 |
-
"recall": 0.
|
1537 |
-
"support":
|
1538 |
},
|
1539 |
"eval_MajorClaim": {
|
1540 |
-
"f1-score": 0.
|
1541 |
-
"precision": 0.
|
1542 |
-
"recall": 0.
|
1543 |
-
"support":
|
1544 |
},
|
1545 |
"eval_O": {
|
1546 |
-
"f1-score": 0.
|
1547 |
"precision": 1.0,
|
1548 |
-
"recall": 0.
|
1549 |
-
"support":
|
1550 |
},
|
1551 |
"eval_Premise": {
|
1552 |
-
"f1-score": 0.
|
1553 |
-
"precision": 0.
|
1554 |
-
"recall": 0.
|
1555 |
-
"support":
|
1556 |
},
|
1557 |
-
"eval_accuracy": 0.
|
1558 |
-
"eval_loss": 0.
|
1559 |
"eval_macro avg": {
|
1560 |
-
"f1-score": 0.
|
1561 |
-
"precision": 0.
|
1562 |
-
"recall": 0.
|
1563 |
-
"support":
|
1564 |
-
},
|
1565 |
-
"eval_runtime": 4.
|
1566 |
-
"eval_samples_per_second": 16.
|
1567 |
-
"eval_steps_per_second": 2.
|
1568 |
"eval_weighted avg": {
|
1569 |
-
"f1-score": 0.
|
1570 |
-
"precision": 0.
|
1571 |
-
"recall": 0.
|
1572 |
-
"support":
|
1573 |
},
|
1574 |
"step": 2754
|
1575 |
},
|
1576 |
{
|
1577 |
"epoch": 35.0,
|
1578 |
"eval_Claim": {
|
1579 |
-
"f1-score": 0.
|
1580 |
-
"precision": 0.
|
1581 |
-
"recall": 0.
|
1582 |
-
"support":
|
1583 |
},
|
1584 |
"eval_MajorClaim": {
|
1585 |
-
"f1-score": 0.
|
1586 |
-
"precision": 0.
|
1587 |
-
"recall": 0.
|
1588 |
-
"support":
|
1589 |
},
|
1590 |
"eval_O": {
|
1591 |
-
"f1-score": 0.
|
1592 |
"precision": 1.0,
|
1593 |
-
"recall": 0.
|
1594 |
-
"support":
|
1595 |
},
|
1596 |
"eval_Premise": {
|
1597 |
-
"f1-score": 0.
|
1598 |
-
"precision": 0.
|
1599 |
-
"recall": 0.
|
1600 |
-
"support":
|
1601 |
},
|
1602 |
-
"eval_accuracy": 0.
|
1603 |
-
"eval_loss": 0.
|
1604 |
"eval_macro avg": {
|
1605 |
-
"f1-score": 0.
|
1606 |
-
"precision": 0.
|
1607 |
-
"recall": 0.
|
1608 |
-
"support":
|
1609 |
-
},
|
1610 |
-
"eval_runtime": 4.
|
1611 |
-
"eval_samples_per_second": 16.
|
1612 |
-
"eval_steps_per_second": 2.
|
1613 |
"eval_weighted avg": {
|
1614 |
-
"f1-score": 0.
|
1615 |
-
"precision": 0.
|
1616 |
-
"recall": 0.
|
1617 |
-
"support":
|
1618 |
},
|
1619 |
"step": 2835
|
1620 |
},
|
1621 |
{
|
1622 |
"epoch": 36.0,
|
1623 |
"eval_Claim": {
|
1624 |
-
"f1-score": 0.
|
1625 |
-
"precision": 0.
|
1626 |
-
"recall": 0.
|
1627 |
-
"support":
|
1628 |
},
|
1629 |
"eval_MajorClaim": {
|
1630 |
-
"f1-score": 0.
|
1631 |
-
"precision": 0.
|
1632 |
-
"recall": 0.
|
1633 |
-
"support":
|
1634 |
},
|
1635 |
"eval_O": {
|
1636 |
-
"f1-score": 0.
|
1637 |
"precision": 1.0,
|
1638 |
-
"recall": 0.
|
1639 |
-
"support":
|
1640 |
},
|
1641 |
"eval_Premise": {
|
1642 |
-
"f1-score": 0.
|
1643 |
-
"precision": 0.
|
1644 |
-
"recall": 0.
|
1645 |
-
"support":
|
1646 |
},
|
1647 |
-
"eval_accuracy": 0.
|
1648 |
-
"eval_loss": 0.
|
1649 |
"eval_macro avg": {
|
1650 |
-
"f1-score": 0.
|
1651 |
-
"precision": 0.
|
1652 |
-
"recall": 0.
|
1653 |
-
"support":
|
1654 |
-
},
|
1655 |
-
"eval_runtime": 4.
|
1656 |
-
"eval_samples_per_second": 16.
|
1657 |
-
"eval_steps_per_second": 2.
|
1658 |
"eval_weighted avg": {
|
1659 |
-
"f1-score": 0.
|
1660 |
-
"precision": 0.
|
1661 |
-
"recall": 0.
|
1662 |
-
"support":
|
1663 |
},
|
1664 |
"step": 2916
|
1665 |
}
|
@@ -1669,7 +1669,7 @@
|
|
1669 |
"num_input_tokens_seen": 0,
|
1670 |
"num_train_epochs": 50,
|
1671 |
"save_steps": 500,
|
1672 |
-
"total_flos":
|
1673 |
"train_batch_size": 4,
|
1674 |
"trial_name": null,
|
1675 |
"trial_params": null
|
|
|
11 |
{
|
12 |
"epoch": 1.0,
|
13 |
"eval_Claim": {
|
14 |
+
"f1-score": 0.5724454649827784,
|
15 |
+
"precision": 0.6002889477486154,
|
16 |
+
"recall": 0.5470704410796576,
|
17 |
+
"support": 4557.0
|
18 |
},
|
19 |
"eval_MajorClaim": {
|
20 |
+
"f1-score": 0.7860447185813415,
|
21 |
+
"precision": 0.698526892771497,
|
22 |
+
"recall": 0.8986337593653592,
|
23 |
+
"support": 2269.0
|
24 |
},
|
25 |
"eval_O": {
|
26 |
+
"f1-score": 0.9987820830889982,
|
27 |
+
"precision": 0.9975671292124707,
|
28 |
"recall": 1.0,
|
29 |
+
"support": 11071.0
|
30 |
},
|
31 |
"eval_Premise": {
|
32 |
+
"f1-score": 0.8965445389824622,
|
33 |
+
"precision": 0.9051258677512096,
|
34 |
+
"recall": 0.8881243979633962,
|
35 |
+
"support": 14534.0
|
36 |
},
|
37 |
+
"eval_accuracy": 0.8791279948197712,
|
38 |
+
"eval_loss": 0.3157936632633209,
|
39 |
"eval_macro avg": {
|
40 |
+
"f1-score": 0.8134542014088951,
|
41 |
+
"precision": 0.8003772093709481,
|
42 |
+
"recall": 0.8334571496021033,
|
43 |
+
"support": 32431.0
|
44 |
+
},
|
45 |
+
"eval_runtime": 4.8184,
|
46 |
+
"eval_samples_per_second": 16.603,
|
47 |
+
"eval_steps_per_second": 2.075,
|
48 |
"eval_weighted avg": {
|
49 |
+
"f1-score": 0.8781740995293698,
|
50 |
+
"precision": 0.8793943851252293,
|
51 |
+
"recall": 0.8791279948197712,
|
52 |
+
"support": 32431.0
|
53 |
},
|
54 |
"step": 81
|
55 |
},
|
56 |
{
|
57 |
"epoch": 2.0,
|
58 |
"eval_Claim": {
|
59 |
+
"f1-score": 0.6090644692195831,
|
60 |
+
"precision": 0.680108254397835,
|
61 |
+
"recall": 0.5514592933947773,
|
62 |
+
"support": 4557.0
|
63 |
},
|
64 |
"eval_MajorClaim": {
|
65 |
+
"f1-score": 0.8585858585858586,
|
66 |
+
"precision": 0.8960229995208433,
|
67 |
+
"recall": 0.8241516086381666,
|
68 |
+
"support": 2269.0
|
69 |
},
|
70 |
"eval_O": {
|
71 |
+
"f1-score": 0.999458141425088,
|
72 |
+
"precision": 0.9992776523702032,
|
73 |
+
"recall": 0.9996386956914461,
|
74 |
+
"support": 11071.0
|
75 |
},
|
76 |
"eval_Premise": {
|
77 |
+
"f1-score": 0.9105885478942475,
|
78 |
+
"precision": 0.8801849235905997,
|
79 |
+
"recall": 0.9431677445988716,
|
80 |
+
"support": 14534.0
|
81 |
},
|
82 |
+
"eval_accuracy": 0.8990780426135487,
|
83 |
+
"eval_loss": 0.24451124668121338,
|
84 |
"eval_macro avg": {
|
85 |
+
"f1-score": 0.8444242542811943,
|
86 |
+
"precision": 0.8638984574698704,
|
87 |
+
"recall": 0.8296043355808155,
|
88 |
+
"support": 32431.0
|
89 |
+
},
|
90 |
+
"eval_runtime": 4.8529,
|
91 |
+
"eval_samples_per_second": 16.485,
|
92 |
+
"eval_steps_per_second": 2.061,
|
93 |
"eval_weighted avg": {
|
94 |
+
"f1-score": 0.8949194640367888,
|
95 |
+
"precision": 0.8938342965082798,
|
96 |
+
"recall": 0.8990780426135487,
|
97 |
+
"support": 32431.0
|
98 |
},
|
99 |
"step": 162
|
100 |
},
|
101 |
{
|
102 |
"epoch": 3.0,
|
103 |
"eval_Claim": {
|
104 |
+
"f1-score": 0.6542320859402667,
|
105 |
+
"precision": 0.7079713847726111,
|
106 |
+
"recall": 0.60807548825982,
|
107 |
+
"support": 4557.0
|
108 |
},
|
109 |
"eval_MajorClaim": {
|
110 |
+
"f1-score": 0.8915187376725839,
|
111 |
+
"precision": 0.8866608544027899,
|
112 |
+
"recall": 0.8964301454385192,
|
113 |
+
"support": 2269.0
|
114 |
},
|
115 |
"eval_O": {
|
116 |
+
"f1-score": 0.9995936611133684,
|
117 |
+
"precision": 0.9992778479870013,
|
118 |
+
"recall": 0.9999096739228616,
|
119 |
+
"support": 11071.0
|
120 |
},
|
121 |
"eval_Premise": {
|
122 |
+
"f1-score": 0.9157990498332153,
|
123 |
+
"precision": 0.8973258501155497,
|
124 |
+
"recall": 0.935048850970139,
|
125 |
+
"support": 14534.0
|
126 |
},
|
127 |
+
"eval_accuracy": 0.9085442940396534,
|
128 |
+
"eval_loss": 0.22665414214134216,
|
129 |
"eval_macro avg": {
|
130 |
+
"f1-score": 0.8652858836398586,
|
131 |
+
"precision": 0.872808984319488,
|
132 |
+
"recall": 0.8598660396478349,
|
133 |
+
"support": 32431.0
|
134 |
+
},
|
135 |
+
"eval_runtime": 4.8494,
|
136 |
+
"eval_samples_per_second": 16.497,
|
137 |
+
"eval_steps_per_second": 2.062,
|
138 |
"eval_weighted avg": {
|
139 |
+
"f1-score": 0.9059516032151627,
|
140 |
+
"precision": 0.9047762338408377,
|
141 |
+
"recall": 0.9085442940396534,
|
142 |
+
"support": 32431.0
|
143 |
},
|
144 |
"step": 243
|
145 |
},
|
146 |
{
|
147 |
"epoch": 4.0,
|
148 |
"eval_Claim": {
|
149 |
+
"f1-score": 0.6861642294713161,
|
150 |
+
"precision": 0.6424741478360781,
|
151 |
+
"recall": 0.7362299758613122,
|
152 |
+
"support": 4557.0
|
153 |
},
|
154 |
"eval_MajorClaim": {
|
155 |
+
"f1-score": 0.8995515695067264,
|
156 |
+
"precision": 0.9155636695572797,
|
157 |
+
"recall": 0.884089907448215,
|
158 |
+
"support": 2269.0
|
159 |
},
|
160 |
"eval_O": {
|
161 |
+
"f1-score": 0.9976481230212574,
|
162 |
+
"precision": 0.9990941208442794,
|
163 |
+
"recall": 0.9962063047601842,
|
164 |
+
"support": 11071.0
|
165 |
},
|
166 |
"eval_Premise": {
|
167 |
+
"f1-score": 0.9062532879739067,
|
168 |
+
"precision": 0.9242435081193219,
|
169 |
+
"recall": 0.8889500481629283,
|
170 |
+
"support": 14534.0
|
171 |
},
|
172 |
+
"eval_accuracy": 0.9037649162838025,
|
173 |
+
"eval_loss": 0.2452327460050583,
|
174 |
"eval_macro avg": {
|
175 |
+
"f1-score": 0.8724043024933017,
|
176 |
+
"precision": 0.8703438615892398,
|
177 |
+
"recall": 0.8763690590581599,
|
178 |
+
"support": 32431.0
|
179 |
+
},
|
180 |
+
"eval_runtime": 4.8393,
|
181 |
+
"eval_samples_per_second": 16.531,
|
182 |
+
"eval_steps_per_second": 2.066,
|
183 |
"eval_weighted avg": {
|
184 |
+
"f1-score": 0.9060584182508294,
|
185 |
+
"precision": 0.9095955973231696,
|
186 |
+
"recall": 0.9037649162838025,
|
187 |
+
"support": 32431.0
|
188 |
},
|
189 |
"step": 324
|
190 |
},
|
191 |
{
|
192 |
"epoch": 5.0,
|
193 |
"eval_Claim": {
|
194 |
+
"f1-score": 0.6640249759846301,
|
195 |
+
"precision": 0.7332272606735614,
|
196 |
+
"recall": 0.6067588325652842,
|
197 |
+
"support": 4557.0
|
198 |
},
|
199 |
"eval_MajorClaim": {
|
200 |
+
"f1-score": 0.8848007008322383,
|
201 |
+
"precision": 0.8794079233783195,
|
202 |
+
"recall": 0.8902600264433671,
|
203 |
+
"support": 2269.0
|
204 |
},
|
205 |
"eval_O": {
|
206 |
+
"f1-score": 0.999367774566474,
|
207 |
+
"precision": 0.9992775219001174,
|
208 |
+
"recall": 0.9994580435371692,
|
209 |
+
"support": 11071.0
|
210 |
},
|
211 |
"eval_Premise": {
|
212 |
+
"f1-score": 0.9201314377682404,
|
213 |
+
"precision": 0.8973839110529758,
|
214 |
+
"recall": 0.9440621989816981,
|
215 |
+
"support": 14534.0
|
216 |
},
|
217 |
+
"eval_accuracy": 0.9118127717307515,
|
218 |
+
"eval_loss": 0.28411003947257996,
|
219 |
"eval_macro avg": {
|
220 |
+
"f1-score": 0.8670812222878956,
|
221 |
+
"precision": 0.8773241542512435,
|
222 |
+
"recall": 0.8601347753818797,
|
223 |
+
"support": 32431.0
|
224 |
+
},
|
225 |
+
"eval_runtime": 4.8228,
|
226 |
+
"eval_samples_per_second": 16.588,
|
227 |
+
"eval_steps_per_second": 2.073,
|
228 |
"eval_weighted avg": {
|
229 |
+
"f1-score": 0.9087220731552942,
|
230 |
+
"precision": 0.9078434958291443,
|
231 |
+
"recall": 0.9118127717307515,
|
232 |
+
"support": 32431.0
|
233 |
},
|
234 |
"step": 405
|
235 |
},
|
236 |
{
|
237 |
"epoch": 6.0,
|
238 |
"eval_Claim": {
|
239 |
+
"f1-score": 0.6496087442553721,
|
240 |
+
"precision": 0.7484258729250143,
|
241 |
+
"recall": 0.5738424402018872,
|
242 |
+
"support": 4557.0
|
243 |
},
|
244 |
"eval_MajorClaim": {
|
245 |
+
"f1-score": 0.8865800865800866,
|
246 |
+
"precision": 0.8711186729051468,
|
247 |
+
"recall": 0.9026002644336713,
|
248 |
+
"support": 2269.0
|
249 |
},
|
250 |
"eval_O": {
|
251 |
+
"f1-score": 0.9986892655367232,
|
252 |
+
"precision": 0.9994572100597069,
|
253 |
+
"recall": 0.9979225002258152,
|
254 |
+
"support": 11071.0
|
255 |
},
|
256 |
"eval_Premise": {
|
257 |
+
"f1-score": 0.9191778088205947,
|
258 |
+
"precision": 0.889647180015452,
|
259 |
+
"recall": 0.9507362047612495,
|
260 |
+
"support": 14534.0
|
261 |
},
|
262 |
+
"eval_accuracy": 0.9105177145323918,
|
263 |
+
"eval_loss": 0.3082066774368286,
|
264 |
"eval_macro avg": {
|
265 |
+
"f1-score": 0.8635139762981943,
|
266 |
+
"precision": 0.87716223397633,
|
267 |
+
"recall": 0.8562753524056559,
|
268 |
+
"support": 32431.0
|
269 |
+
},
|
270 |
+
"eval_runtime": 4.8389,
|
271 |
+
"eval_samples_per_second": 16.533,
|
272 |
+
"eval_steps_per_second": 2.067,
|
273 |
"eval_weighted avg": {
|
274 |
+
"f1-score": 0.9061618943658084,
|
275 |
+
"precision": 0.9059932736781678,
|
276 |
+
"recall": 0.9105177145323918,
|
277 |
+
"support": 32431.0
|
278 |
},
|
279 |
"step": 486
|
280 |
},
|
281 |
{
|
282 |
"epoch": 6.17,
|
283 |
+
"grad_norm": 0.8612700700759888,
|
284 |
"learning_rate": 1.7530864197530865e-05,
|
285 |
+
"loss": 0.2223,
|
286 |
"step": 500
|
287 |
},
|
288 |
{
|
289 |
"epoch": 7.0,
|
290 |
"eval_Claim": {
|
291 |
+
"f1-score": 0.6977381768334475,
|
292 |
+
"precision": 0.629950495049505,
|
293 |
+
"recall": 0.7818740399385561,
|
294 |
+
"support": 4557.0
|
295 |
},
|
296 |
"eval_MajorClaim": {
|
297 |
+
"f1-score": 0.8892209178228387,
|
298 |
+
"precision": 0.8621688741721855,
|
299 |
+
"recall": 0.9180255619215514,
|
300 |
+
"support": 2269.0
|
301 |
},
|
302 |
"eval_O": {
|
303 |
+
"f1-score": 0.9988698521766648,
|
304 |
+
"precision": 0.9998190045248869,
|
305 |
+
"recall": 0.9979225002258152,
|
306 |
+
"support": 11071.0
|
307 |
},
|
308 |
"eval_Premise": {
|
309 |
+
"f1-score": 0.9034227633516503,
|
310 |
+
"precision": 0.9449996243143738,
|
311 |
+
"recall": 0.8653502132929682,
|
312 |
+
"support": 14534.0
|
313 |
},
|
314 |
+
"eval_accuracy": 0.9025623631710401,
|
315 |
+
"eval_loss": 0.3512111008167267,
|
316 |
"eval_macro avg": {
|
317 |
+
"f1-score": 0.8723129275461503,
|
318 |
+
"precision": 0.8592344995152377,
|
319 |
+
"recall": 0.8907930788447227,
|
320 |
+
"support": 32431.0
|
321 |
+
},
|
322 |
+
"eval_runtime": 4.8174,
|
323 |
+
"eval_samples_per_second": 16.607,
|
324 |
+
"eval_steps_per_second": 2.076,
|
325 |
"eval_weighted avg": {
|
326 |
+
"f1-score": 0.9061105026169647,
|
327 |
+
"precision": 0.9136494810618672,
|
328 |
+
"recall": 0.9025623631710401,
|
329 |
+
"support": 32431.0
|
330 |
},
|
331 |
"step": 567
|
332 |
},
|
333 |
{
|
334 |
"epoch": 8.0,
|
335 |
"eval_Claim": {
|
336 |
+
"f1-score": 0.6987032799389779,
|
337 |
+
"precision": 0.6177710335525206,
|
338 |
+
"recall": 0.80403774412991,
|
339 |
+
"support": 4557.0
|
340 |
},
|
341 |
"eval_MajorClaim": {
|
342 |
+
"f1-score": 0.9015364639688379,
|
343 |
+
"precision": 0.8856292517006803,
|
344 |
+
"recall": 0.9180255619215514,
|
345 |
+
"support": 2269.0
|
346 |
},
|
347 |
"eval_O": {
|
348 |
+
"f1-score": 0.998915499322187,
|
349 |
+
"precision": 0.9994574554661362,
|
350 |
+
"recall": 0.9983741306115076,
|
351 |
+
"support": 11071.0
|
352 |
},
|
353 |
"eval_Premise": {
|
354 |
+
"f1-score": 0.8976577489773016,
|
355 |
+
"precision": 0.9472075788830315,
|
356 |
+
"recall": 0.8530342644832806,
|
357 |
+
"support": 14534.0
|
358 |
},
|
359 |
+
"eval_accuracy": 0.9003114304215103,
|
360 |
+
"eval_loss": 0.3705728054046631,
|
361 |
"eval_macro avg": {
|
362 |
+
"f1-score": 0.8742032480518261,
|
363 |
+
"precision": 0.8625163299005921,
|
364 |
+
"recall": 0.8933679252865624,
|
365 |
+
"support": 32431.0
|
366 |
+
},
|
367 |
+
"eval_runtime": 4.8542,
|
368 |
+
"eval_samples_per_second": 16.48,
|
369 |
+
"eval_steps_per_second": 2.06,
|
370 |
"eval_weighted avg": {
|
371 |
+
"f1-score": 0.9045397397569994,
|
372 |
+
"precision": 0.9144455555782818,
|
373 |
+
"recall": 0.9003114304215103,
|
374 |
+
"support": 32431.0
|
375 |
},
|
376 |
"step": 648
|
377 |
},
|
378 |
{
|
379 |
"epoch": 9.0,
|
380 |
"eval_Claim": {
|
381 |
+
"f1-score": 0.6657139454567107,
|
382 |
+
"precision": 0.7278645833333334,
|
383 |
+
"recall": 0.6133421110379635,
|
384 |
+
"support": 4557.0
|
385 |
},
|
386 |
"eval_MajorClaim": {
|
387 |
+
"f1-score": 0.8882521489971346,
|
388 |
+
"precision": 0.8884479717813051,
|
389 |
+
"recall": 0.8880564125165271,
|
390 |
+
"support": 2269.0
|
391 |
},
|
392 |
"eval_O": {
|
393 |
+
"f1-score": 0.9987339482727438,
|
394 |
+
"precision": 0.9999094612947035,
|
395 |
+
"recall": 0.9975611959172613,
|
396 |
+
"support": 11071.0
|
397 |
},
|
398 |
"eval_Premise": {
|
399 |
+
"f1-score": 0.9178854152690192,
|
400 |
+
"precision": 0.8955360649299646,
|
401 |
+
"recall": 0.9413788358332187,
|
402 |
+
"support": 14534.0
|
403 |
},
|
404 |
+
"eval_accuracy": 0.9107335573987851,
|
405 |
+
"eval_loss": 0.41826051473617554,
|
406 |
"eval_macro avg": {
|
407 |
+
"f1-score": 0.8676463644989021,
|
408 |
+
"precision": 0.8779395203348266,
|
409 |
+
"recall": 0.8600846388262426,
|
410 |
+
"support": 32431.0
|
411 |
+
},
|
412 |
+
"eval_runtime": 4.809,
|
413 |
+
"eval_samples_per_second": 16.635,
|
414 |
+
"eval_steps_per_second": 2.079,
|
415 |
"eval_weighted avg": {
|
416 |
+
"f1-score": 0.9079779452489347,
|
417 |
+
"precision": 0.9071100542045434,
|
418 |
+
"recall": 0.9107335573987851,
|
419 |
+
"support": 32431.0
|
420 |
},
|
421 |
"step": 729
|
422 |
},
|
423 |
{
|
424 |
"epoch": 10.0,
|
425 |
"eval_Claim": {
|
426 |
+
"f1-score": 0.6738416222952305,
|
427 |
+
"precision": 0.6964871194379391,
|
428 |
+
"recall": 0.652622339258284,
|
429 |
+
"support": 4557.0
|
430 |
},
|
431 |
"eval_MajorClaim": {
|
432 |
+
"f1-score": 0.8951019550136641,
|
433 |
+
"precision": 0.8557073954983923,
|
434 |
+
"recall": 0.9382988100484795,
|
435 |
+
"support": 2269.0
|
436 |
},
|
437 |
"eval_O": {
|
438 |
+
"f1-score": 0.9989605459393501,
|
439 |
+
"precision": 0.9996382054992764,
|
440 |
+
"recall": 0.998283804534369,
|
441 |
+
"support": 11071.0
|
442 |
},
|
443 |
"eval_Premise": {
|
444 |
+
"f1-score": 0.9109121470961545,
|
445 |
+
"precision": 0.9083259218717931,
|
446 |
+
"recall": 0.9135131415990092,
|
447 |
+
"support": 14534.0
|
448 |
},
|
449 |
+
"eval_accuracy": 0.9075267490980852,
|
450 |
+
"eval_loss": 0.5459077954292297,
|
451 |
"eval_macro avg": {
|
452 |
+
"f1-score": 0.8697040675860997,
|
453 |
+
"precision": 0.8650396605768502,
|
454 |
+
"recall": 0.8756795238600354,
|
455 |
+
"support": 32431.0
|
456 |
+
},
|
457 |
+
"eval_runtime": 4.8478,
|
458 |
+
"eval_samples_per_second": 16.502,
|
459 |
+
"eval_steps_per_second": 2.063,
|
460 |
"eval_weighted avg": {
|
461 |
+
"f1-score": 0.9065515080853328,
|
462 |
+
"precision": 0.9060496255197702,
|
463 |
+
"recall": 0.9075267490980852,
|
464 |
+
"support": 32431.0
|
465 |
},
|
466 |
"step": 810
|
467 |
},
|
468 |
{
|
469 |
"epoch": 11.0,
|
470 |
"eval_Claim": {
|
471 |
+
"f1-score": 0.6581417175035196,
|
472 |
+
"precision": 0.7070834383665239,
|
473 |
+
"recall": 0.6155365371955234,
|
474 |
+
"support": 4557.0
|
475 |
},
|
476 |
"eval_MajorClaim": {
|
477 |
+
"f1-score": 0.881979417560762,
|
478 |
+
"precision": 0.876414273281114,
|
479 |
+
"recall": 0.8876156897311591,
|
480 |
+
"support": 2269.0
|
481 |
},
|
482 |
"eval_O": {
|
483 |
+
"f1-score": 0.9999548390010388,
|
484 |
+
"precision": 0.9999096820809249,
|
485 |
"recall": 1.0,
|
486 |
+
"support": 11071.0
|
487 |
},
|
488 |
"eval_Premise": {
|
489 |
+
"f1-score": 0.9173079519373565,
|
490 |
+
"precision": 0.9002915065588976,
|
491 |
+
"recall": 0.9349800467868447,
|
492 |
+
"support": 14534.0
|
493 |
},
|
494 |
+
"eval_accuracy": 0.9089759797724399,
|
495 |
+
"eval_loss": 0.5726844668388367,
|
496 |
"eval_macro avg": {
|
497 |
+
"f1-score": 0.8643459815006692,
|
498 |
+
"precision": 0.8709247250718651,
|
499 |
+
"recall": 0.8595330684283817,
|
500 |
+
"support": 32431.0
|
501 |
+
},
|
502 |
+
"eval_runtime": 4.8447,
|
503 |
+
"eval_samples_per_second": 16.513,
|
504 |
+
"eval_steps_per_second": 2.064,
|
505 |
"eval_weighted avg": {
|
506 |
+
"f1-score": 0.9066330640790278,
|
507 |
+
"precision": 0.9054793272287636,
|
508 |
+
"recall": 0.9089759797724399,
|
509 |
+
"support": 32431.0
|
510 |
},
|
511 |
"step": 891
|
512 |
},
|
513 |
{
|
514 |
"epoch": 12.0,
|
515 |
"eval_Claim": {
|
516 |
+
"f1-score": 0.7079179557694512,
|
517 |
+
"precision": 0.7407673860911271,
|
518 |
+
"recall": 0.6778582400702217,
|
519 |
+
"support": 4557.0
|
520 |
},
|
521 |
"eval_MajorClaim": {
|
522 |
+
"f1-score": 0.8947480331703169,
|
523 |
+
"precision": 0.8644207066557108,
|
524 |
+
"recall": 0.9272807404142794,
|
525 |
+
"support": 2269.0
|
526 |
},
|
527 |
"eval_O": {
|
528 |
+
"f1-score": 0.999186477447347,
|
529 |
+
"precision": 0.9999095431931253,
|
530 |
+
"recall": 0.998464456688646,
|
531 |
+
"support": 11071.0
|
532 |
},
|
533 |
"eval_Premise": {
|
534 |
+
"f1-score": 0.9243840851702722,
|
535 |
+
"precision": 0.9169374492282697,
|
536 |
+
"recall": 0.9319526627218935,
|
537 |
+
"support": 14534.0
|
538 |
},
|
539 |
+
"eval_accuracy": 0.9186272393697388,
|
540 |
+
"eval_loss": 0.5660926699638367,
|
541 |
"eval_macro avg": {
|
542 |
+
"f1-score": 0.8815591378893468,
|
543 |
+
"precision": 0.8805087712920582,
|
544 |
+
"recall": 0.8838890249737601,
|
545 |
+
"support": 32431.0
|
546 |
+
},
|
547 |
+
"eval_runtime": 4.8659,
|
548 |
+
"eval_samples_per_second": 16.441,
|
549 |
+
"eval_steps_per_second": 2.055,
|
550 |
"eval_weighted avg": {
|
551 |
+
"f1-score": 0.917429533390557,
|
552 |
+
"precision": 0.9168331226787283,
|
553 |
+
"recall": 0.9186272393697388,
|
554 |
+
"support": 32431.0
|
555 |
},
|
556 |
"step": 972
|
557 |
},
|
558 |
{
|
559 |
"epoch": 12.35,
|
560 |
+
"grad_norm": 2.9101791381835938,
|
561 |
"learning_rate": 1.506172839506173e-05,
|
562 |
+
"loss": 0.0294,
|
563 |
"step": 1000
|
564 |
},
|
565 |
{
|
566 |
"epoch": 13.0,
|
567 |
"eval_Claim": {
|
568 |
+
"f1-score": 0.6744648496900223,
|
569 |
+
"precision": 0.7221943887775552,
|
570 |
+
"recall": 0.6326530612244898,
|
571 |
+
"support": 4557.0
|
572 |
},
|
573 |
"eval_MajorClaim": {
|
574 |
+
"f1-score": 0.9044719714465672,
|
575 |
+
"precision": 0.863672814755413,
|
576 |
+
"recall": 0.9493168796826796,
|
577 |
+
"support": 2269.0
|
578 |
},
|
579 |
"eval_O": {
|
580 |
+
"f1-score": 0.9995934041111363,
|
581 |
+
"precision": 0.9999096167751266,
|
582 |
+
"recall": 0.9992773913828923,
|
583 |
+
"support": 11071.0
|
584 |
},
|
585 |
"eval_Premise": {
|
586 |
+
"f1-score": 0.9161992180860105,
|
587 |
+
"precision": 0.9055171023452725,
|
588 |
+
"recall": 0.9271363698912893,
|
589 |
+
"support": 14534.0
|
590 |
},
|
591 |
+
"eval_accuracy": 0.9119361105115475,
|
592 |
+
"eval_loss": 0.5764271020889282,
|
593 |
"eval_macro avg": {
|
594 |
+
"f1-score": 0.8736823608334341,
|
595 |
+
"precision": 0.8728234806633418,
|
596 |
+
"recall": 0.8770959255453377,
|
597 |
+
"support": 32431.0
|
598 |
+
},
|
599 |
+
"eval_runtime": 4.8358,
|
600 |
+
"eval_samples_per_second": 16.543,
|
601 |
+
"eval_steps_per_second": 2.068,
|
602 |
"eval_weighted avg": {
|
603 |
+
"f1-score": 0.9098800911419986,
|
604 |
+
"precision": 0.909053016531805,
|
605 |
+
"recall": 0.9119361105115475,
|
606 |
+
"support": 32431.0
|
607 |
},
|
608 |
"step": 1053
|
609 |
},
|
610 |
{
|
611 |
"epoch": 14.0,
|
612 |
"eval_Claim": {
|
613 |
+
"f1-score": 0.7047413793103449,
|
614 |
+
"precision": 0.6923565530383231,
|
615 |
+
"recall": 0.717577353522054,
|
616 |
+
"support": 4557.0
|
617 |
},
|
618 |
"eval_MajorClaim": {
|
619 |
+
"f1-score": 0.9112001687407719,
|
620 |
+
"precision": 0.8737864077669902,
|
621 |
+
"recall": 0.9519612163948876,
|
622 |
+
"support": 2269.0
|
623 |
},
|
624 |
"eval_O": {
|
625 |
+
"f1-score": 0.9992316384180792,
|
626 |
"precision": 1.0,
|
627 |
+
"recall": 0.998464456688646,
|
628 |
+
"support": 11071.0
|
629 |
},
|
630 |
"eval_Premise": {
|
631 |
+
"f1-score": 0.9145424153781864,
|
632 |
+
"precision": 0.9258919757439007,
|
633 |
+
"recall": 0.903467730838035,
|
634 |
+
"support": 14534.0
|
635 |
},
|
636 |
+
"eval_accuracy": 0.9131694983195091,
|
637 |
+
"eval_loss": 0.5468704700469971,
|
638 |
"eval_macro avg": {
|
639 |
+
"f1-score": 0.8824289004618456,
|
640 |
+
"precision": 0.8730087341373035,
|
641 |
+
"recall": 0.8928676893609057,
|
642 |
+
"support": 32431.0
|
643 |
},
|
644 |
+
"eval_runtime": 4.8411,
|
645 |
+
"eval_samples_per_second": 16.525,
|
646 |
+
"eval_steps_per_second": 2.066,
|
647 |
"eval_weighted avg": {
|
648 |
+
"f1-score": 0.9137390947680665,
|
649 |
+
"precision": 0.9147298617643856,
|
650 |
+
"recall": 0.9131694983195091,
|
651 |
+
"support": 32431.0
|
652 |
},
|
653 |
"step": 1134
|
654 |
},
|
655 |
{
|
656 |
"epoch": 15.0,
|
657 |
"eval_Claim": {
|
658 |
+
"f1-score": 0.6868638486408813,
|
659 |
+
"precision": 0.7559304164470216,
|
660 |
+
"recall": 0.6293614219881501,
|
661 |
+
"support": 4557.0
|
662 |
},
|
663 |
"eval_MajorClaim": {
|
664 |
+
"f1-score": 0.9058546000428909,
|
665 |
+
"precision": 0.8822055137844611,
|
666 |
+
"recall": 0.9308065226972234,
|
667 |
+
"support": 2269.0
|
668 |
},
|
669 |
"eval_O": {
|
670 |
+
"f1-score": 0.9999548349216385,
|
671 |
"precision": 1.0,
|
672 |
+
"recall": 0.9999096739228616,
|
673 |
+
"support": 11071.0
|
674 |
},
|
675 |
"eval_Premise": {
|
676 |
+
"f1-score": 0.9218029420675262,
|
677 |
+
"precision": 0.9023924075660713,
|
678 |
+
"recall": 0.9420668776661622,
|
679 |
+
"support": 14534.0
|
680 |
},
|
681 |
+
"eval_accuracy": 0.9170855046097869,
|
682 |
+
"eval_loss": 0.6552095413208008,
|
683 |
"eval_macro avg": {
|
684 |
+
"f1-score": 0.8786190564182342,
|
685 |
+
"precision": 0.8851320844493885,
|
686 |
+
"recall": 0.8755361240685993,
|
687 |
+
"support": 32431.0
|
688 |
+
},
|
689 |
+
"eval_runtime": 4.8081,
|
690 |
+
"eval_samples_per_second": 16.639,
|
691 |
+
"eval_steps_per_second": 2.08,
|
692 |
"eval_weighted avg": {
|
693 |
+
"f1-score": 0.9143537536055225,
|
694 |
+
"precision": 0.9137205288178378,
|
695 |
+
"recall": 0.9170855046097869,
|
696 |
+
"support": 32431.0
|
697 |
},
|
698 |
"step": 1215
|
699 |
},
|
700 |
{
|
701 |
"epoch": 16.0,
|
702 |
"eval_Claim": {
|
703 |
+
"f1-score": 0.7261954261954263,
|
704 |
+
"precision": 0.6899071696622556,
|
705 |
+
"recall": 0.7665130568356375,
|
706 |
+
"support": 4557.0
|
707 |
},
|
708 |
"eval_MajorClaim": {
|
709 |
+
"f1-score": 0.9104052573932091,
|
710 |
+
"precision": 0.9050522648083623,
|
711 |
+
"recall": 0.9158219479947113,
|
712 |
+
"support": 2269.0
|
713 |
},
|
714 |
"eval_O": {
|
715 |
+
"f1-score": 0.9999548349216385,
|
716 |
"precision": 1.0,
|
717 |
+
"recall": 0.9999096739228616,
|
718 |
+
"support": 11071.0
|
719 |
},
|
720 |
"eval_Premise": {
|
721 |
+
"f1-score": 0.9186291000841041,
|
722 |
+
"precision": 0.9360805599200114,
|
723 |
+
"recall": 0.9018164304389706,
|
724 |
+
"support": 14534.0
|
725 |
},
|
726 |
+
"eval_accuracy": 0.9172705127809812,
|
727 |
+
"eval_loss": 0.604762613773346,
|
728 |
"eval_macro avg": {
|
729 |
+
"f1-score": 0.8887961546485946,
|
730 |
+
"precision": 0.8827599985976573,
|
731 |
+
"recall": 0.8960152772980452,
|
732 |
+
"support": 32431.0
|
733 |
+
},
|
734 |
+
"eval_runtime": 4.8523,
|
735 |
+
"eval_samples_per_second": 16.487,
|
736 |
+
"eval_steps_per_second": 2.061,
|
737 |
"eval_weighted avg": {
|
738 |
+
"f1-score": 0.918776399254959,
|
739 |
+
"precision": 0.92113920073012,
|
740 |
+
"recall": 0.9172705127809812,
|
741 |
+
"support": 32431.0
|
742 |
},
|
743 |
"step": 1296
|
744 |
},
|
745 |
{
|
746 |
"epoch": 17.0,
|
747 |
"eval_Claim": {
|
748 |
+
"f1-score": 0.6726977499420088,
|
749 |
+
"precision": 0.7134071340713407,
|
750 |
+
"recall": 0.6363835856923414,
|
751 |
+
"support": 4557.0
|
752 |
},
|
753 |
"eval_MajorClaim": {
|
754 |
+
"f1-score": 0.898166556218246,
|
755 |
+
"precision": 0.9003542958370239,
|
756 |
+
"recall": 0.8959894226531512,
|
757 |
+
"support": 2269.0
|
758 |
},
|
759 |
"eval_O": {
|
760 |
+
"f1-score": 0.9999548349216385,
|
761 |
"precision": 1.0,
|
762 |
+
"recall": 0.9999096739228616,
|
763 |
+
"support": 11071.0
|
764 |
},
|
765 |
"eval_Premise": {
|
766 |
+
"f1-score": 0.9172189909373732,
|
767 |
+
"precision": 0.9018486500864477,
|
768 |
+
"recall": 0.9331223338378973,
|
769 |
+
"support": 14534.0
|
770 |
},
|
771 |
+
"eval_accuracy": 0.9116277635595572,
|
772 |
+
"eval_loss": 0.6666390299797058,
|
773 |
"eval_macro avg": {
|
774 |
+
"f1-score": 0.8720095330048165,
|
775 |
+
"precision": 0.8789025199987031,
|
776 |
+
"recall": 0.8663512540265629,
|
777 |
+
"support": 32431.0
|
778 |
+
},
|
779 |
+
"eval_runtime": 4.8204,
|
780 |
+
"eval_samples_per_second": 16.596,
|
781 |
+
"eval_steps_per_second": 2.075,
|
782 |
"eval_weighted avg": {
|
783 |
+
"f1-score": 0.9097710324765249,
|
784 |
+
"precision": 0.9087714991080675,
|
785 |
+
"recall": 0.9116277635595572,
|
786 |
+
"support": 32431.0
|
787 |
},
|
788 |
"step": 1377
|
789 |
},
|
790 |
{
|
791 |
"epoch": 18.0,
|
792 |
"eval_Claim": {
|
793 |
+
"f1-score": 0.7242054854157598,
|
794 |
+
"precision": 0.7184193478730296,
|
795 |
+
"recall": 0.7300855826201448,
|
796 |
+
"support": 4557.0
|
797 |
},
|
798 |
"eval_MajorClaim": {
|
799 |
+
"f1-score": 0.91550204257149,
|
800 |
+
"precision": 0.8937867338371117,
|
801 |
+
"recall": 0.9382988100484795,
|
802 |
+
"support": 2269.0
|
803 |
},
|
804 |
"eval_O": {
|
805 |
+
"f1-score": 0.9999548349216385,
|
806 |
+
"precision": 1.0,
|
807 |
+
"recall": 0.9999096739228616,
|
808 |
+
"support": 11071.0
|
809 |
},
|
810 |
"eval_Premise": {
|
811 |
+
"f1-score": 0.9218198185721211,
|
812 |
+
"precision": 0.9277948146083078,
|
813 |
+
"recall": 0.9159212880143113,
|
814 |
+
"support": 14534.0
|
815 |
},
|
816 |
+
"eval_accuracy": 0.9200456353488946,
|
817 |
+
"eval_loss": 0.5898464918136597,
|
818 |
"eval_macro avg": {
|
819 |
+
"f1-score": 0.8903705453702524,
|
820 |
+
"precision": 0.8850002240796123,
|
821 |
+
"recall": 0.8960538386514494,
|
822 |
+
"support": 32431.0
|
823 |
+
},
|
824 |
+
"eval_runtime": 4.8354,
|
825 |
+
"eval_samples_per_second": 16.545,
|
826 |
+
"eval_steps_per_second": 2.068,
|
827 |
"eval_weighted avg": {
|
828 |
+
"f1-score": 0.9202833015380038,
|
829 |
+
"precision": 0.9206441029524512,
|
830 |
+
"recall": 0.9200456353488946,
|
831 |
+
"support": 32431.0
|
832 |
},
|
833 |
"step": 1458
|
834 |
},
|
835 |
{
|
836 |
"epoch": 18.52,
|
837 |
+
"grad_norm": 0.2594422399997711,
|
838 |
"learning_rate": 1.2592592592592593e-05,
|
839 |
+
"loss": 0.0093,
|
840 |
"step": 1500
|
841 |
},
|
842 |
{
|
843 |
"epoch": 19.0,
|
844 |
"eval_Claim": {
|
845 |
+
"f1-score": 0.7198604752561586,
|
846 |
+
"precision": 0.7151830192765866,
|
847 |
+
"recall": 0.7245995172262454,
|
848 |
+
"support": 4557.0
|
849 |
},
|
850 |
"eval_MajorClaim": {
|
851 |
+
"f1-score": 0.9025769956002515,
|
852 |
+
"precision": 0.860223642172524,
|
853 |
+
"recall": 0.9493168796826796,
|
854 |
+
"support": 2269.0
|
855 |
},
|
856 |
"eval_O": {
|
857 |
+
"f1-score": 0.9975098474215601,
|
858 |
"precision": 1.0,
|
859 |
+
"recall": 0.9950320657573841,
|
860 |
+
"support": 11071.0
|
861 |
},
|
862 |
"eval_Premise": {
|
863 |
+
"f1-score": 0.9212571111419453,
|
864 |
+
"precision": 0.9289911851126347,
|
865 |
+
"recall": 0.9136507499655979,
|
866 |
+
"support": 14534.0
|
867 |
},
|
868 |
+
"eval_accuracy": 0.9173630168665783,
|
869 |
+
"eval_loss": 0.6108261346817017,
|
870 |
"eval_macro avg": {
|
871 |
+
"f1-score": 0.8853011073549788,
|
872 |
+
"precision": 0.8760994616404363,
|
873 |
+
"recall": 0.8956498031579767,
|
874 |
+
"support": 32431.0
|
875 |
+
},
|
876 |
+
"eval_runtime": 4.8341,
|
877 |
+
"eval_samples_per_second": 16.549,
|
878 |
+
"eval_steps_per_second": 2.069,
|
879 |
"eval_weighted avg": {
|
880 |
+
"f1-score": 0.9176816552958715,
|
881 |
+
"precision": 0.9183773040411919,
|
882 |
+
"recall": 0.9173630168665783,
|
883 |
+
"support": 32431.0
|
884 |
},
|
885 |
"step": 1539
|
886 |
},
|
887 |
{
|
888 |
"epoch": 20.0,
|
889 |
"eval_Claim": {
|
890 |
+
"f1-score": 0.7150392937883518,
|
891 |
+
"precision": 0.7018174133558749,
|
892 |
+
"recall": 0.7287689269256089,
|
893 |
+
"support": 4557.0
|
894 |
},
|
895 |
"eval_MajorClaim": {
|
896 |
+
"f1-score": 0.8972902097902098,
|
897 |
+
"precision": 0.8899003034243607,
|
898 |
+
"recall": 0.9048038783605112,
|
899 |
+
"support": 2269.0
|
900 |
},
|
901 |
"eval_O": {
|
902 |
+
"f1-score": 0.9992316384180792,
|
903 |
"precision": 1.0,
|
904 |
+
"recall": 0.998464456688646,
|
905 |
+
"support": 11071.0
|
906 |
},
|
907 |
"eval_Premise": {
|
908 |
+
"f1-score": 0.9203380437794403,
|
909 |
+
"precision": 0.9266285395452644,
|
910 |
+
"recall": 0.9141323792486583,
|
911 |
+
"support": 14534.0
|
912 |
},
|
913 |
+
"eval_accuracy": 0.9162221331442139,
|
914 |
+
"eval_loss": 0.6273905038833618,
|
915 |
"eval_macro avg": {
|
916 |
+
"f1-score": 0.8829747964440202,
|
917 |
+
"precision": 0.879586564081375,
|
918 |
+
"recall": 0.886542410305856,
|
919 |
+
"support": 32431.0
|
920 |
+
},
|
921 |
+
"eval_runtime": 4.8321,
|
922 |
+
"eval_samples_per_second": 16.556,
|
923 |
+
"eval_steps_per_second": 2.069,
|
924 |
"eval_weighted avg": {
|
925 |
+
"f1-score": 0.9168102169228345,
|
926 |
+
"precision": 0.9175167258142971,
|
927 |
+
"recall": 0.9162221331442139,
|
928 |
+
"support": 32431.0
|
929 |
},
|
930 |
"step": 1620
|
931 |
},
|
932 |
{
|
933 |
"epoch": 21.0,
|
934 |
"eval_Claim": {
|
935 |
+
"f1-score": 0.7209400804573365,
|
936 |
+
"precision": 0.6964614440580896,
|
937 |
+
"recall": 0.7472021066491112,
|
938 |
+
"support": 4557.0
|
939 |
},
|
940 |
"eval_MajorClaim": {
|
941 |
+
"f1-score": 0.9076372817168105,
|
942 |
+
"precision": 0.8683574879227053,
|
943 |
+
"recall": 0.9506390480387836,
|
944 |
+
"support": 2269.0
|
945 |
},
|
946 |
"eval_O": {
|
947 |
+
"f1-score": 0.999186477447347,
|
948 |
+
"precision": 0.9999095431931253,
|
949 |
+
"recall": 0.998464456688646,
|
950 |
+
"support": 11071.0
|
951 |
},
|
952 |
"eval_Premise": {
|
953 |
+
"f1-score": 0.9181764025650909,
|
954 |
+
"precision": 0.9355852317360566,
|
955 |
+
"recall": 0.9014036053392046,
|
956 |
+
"support": 14534.0
|
957 |
},
|
958 |
+
"eval_accuracy": 0.916314637229811,
|
959 |
+
"eval_loss": 0.6812385320663452,
|
960 |
"eval_macro avg": {
|
961 |
+
"f1-score": 0.8864850605466462,
|
962 |
+
"precision": 0.8750784267274943,
|
963 |
+
"recall": 0.8994273041789365,
|
964 |
+
"support": 32431.0
|
965 |
+
},
|
966 |
+
"eval_runtime": 4.8372,
|
967 |
+
"eval_samples_per_second": 16.539,
|
968 |
+
"eval_steps_per_second": 2.067,
|
969 |
"eval_weighted avg": {
|
970 |
+
"f1-score": 0.917379120765938,
|
971 |
+
"precision": 0.9192399941849548,
|
972 |
+
"recall": 0.916314637229811,
|
973 |
+
"support": 32431.0
|
974 |
},
|
975 |
"step": 1701
|
976 |
},
|
977 |
{
|
978 |
"epoch": 22.0,
|
979 |
"eval_Claim": {
|
980 |
+
"f1-score": 0.7066195738862937,
|
981 |
+
"precision": 0.7348341232227488,
|
982 |
+
"recall": 0.6804915514592934,
|
983 |
+
"support": 4557.0
|
984 |
},
|
985 |
"eval_MajorClaim": {
|
986 |
+
"f1-score": 0.9032682605834613,
|
987 |
+
"precision": 0.8991266375545851,
|
988 |
+
"recall": 0.9074482150727192,
|
989 |
+
"support": 2269.0
|
990 |
},
|
991 |
"eval_O": {
|
992 |
+
"f1-score": 0.9992316384180792,
|
993 |
+
"precision": 1.0,
|
994 |
+
"recall": 0.998464456688646,
|
995 |
+
"support": 11071.0
|
996 |
},
|
997 |
"eval_Premise": {
|
998 |
+
"f1-score": 0.9243903268596307,
|
999 |
+
"precision": 0.914037801843008,
|
1000 |
+
"recall": 0.9349800467868447,
|
1001 |
+
"support": 14534.0
|
1002 |
},
|
1003 |
+
"eval_accuracy": 0.9189664210169283,
|
1004 |
+
"eval_loss": 0.6876958012580872,
|
1005 |
"eval_macro avg": {
|
1006 |
+
"f1-score": 0.8833774499368663,
|
1007 |
+
"precision": 0.8869996406550854,
|
1008 |
+
"recall": 0.8803460675018758,
|
1009 |
+
"support": 32431.0
|
1010 |
+
},
|
1011 |
+
"eval_runtime": 4.8487,
|
1012 |
+
"eval_samples_per_second": 16.499,
|
1013 |
+
"eval_steps_per_second": 2.062,
|
1014 |
"eval_weighted avg": {
|
1015 |
+
"f1-score": 0.917861415342362,
|
1016 |
+
"precision": 0.9171589791287257,
|
1017 |
+
"recall": 0.9189664210169283,
|
1018 |
+
"support": 32431.0
|
1019 |
},
|
1020 |
"step": 1782
|
1021 |
},
|
1022 |
{
|
1023 |
"epoch": 23.0,
|
1024 |
"eval_Claim": {
|
1025 |
+
"f1-score": 0.7040384395378104,
|
1026 |
+
"precision": 0.7354206500956023,
|
1027 |
+
"recall": 0.6752249286811499,
|
1028 |
+
"support": 4557.0
|
1029 |
},
|
1030 |
"eval_MajorClaim": {
|
1031 |
+
"f1-score": 0.90536013400335,
|
1032 |
+
"precision": 0.8623853211009175,
|
1033 |
+
"recall": 0.9528426619656236,
|
1034 |
+
"support": 2269.0
|
1035 |
},
|
1036 |
"eval_O": {
|
1037 |
+
"f1-score": 0.9991412429378531,
|
1038 |
+
"precision": 0.9999095350099512,
|
1039 |
+
"recall": 0.9983741306115076,
|
1040 |
+
"support": 11071.0
|
1041 |
},
|
1042 |
"eval_Premise": {
|
1043 |
+
"f1-score": 0.9212183436002738,
|
1044 |
+
"precision": 0.9164510418085251,
|
1045 |
+
"recall": 0.9260355029585798,
|
1046 |
+
"support": 14534.0
|
1047 |
},
|
1048 |
+
"eval_accuracy": 0.9173630168665783,
|
1049 |
+
"eval_loss": 0.6735763549804688,
|
1050 |
"eval_macro avg": {
|
1051 |
+
"f1-score": 0.8824395400198218,
|
1052 |
+
"precision": 0.878541637003749,
|
1053 |
+
"recall": 0.8881193060542152,
|
1054 |
+
"support": 32431.0
|
1055 |
+
},
|
1056 |
+
"eval_runtime": 4.8285,
|
1057 |
+
"eval_samples_per_second": 16.568,
|
1058 |
+
"eval_steps_per_second": 2.071,
|
1059 |
"eval_weighted avg": {
|
1060 |
+
"f1-score": 0.9161926989447983,
|
1061 |
+
"precision": 0.9157214424409951,
|
1062 |
+
"recall": 0.9173630168665783,
|
1063 |
+
"support": 32431.0
|
1064 |
},
|
1065 |
"step": 1863
|
1066 |
},
|
1067 |
{
|
1068 |
"epoch": 24.0,
|
1069 |
"eval_Claim": {
|
1070 |
+
"f1-score": 0.7284623773173391,
|
1071 |
+
"precision": 0.724040754389768,
|
1072 |
+
"recall": 0.7329383366249725,
|
1073 |
+
"support": 4557.0
|
1074 |
},
|
1075 |
"eval_MajorClaim": {
|
1076 |
+
"f1-score": 0.8918801563178463,
|
1077 |
+
"precision": 0.8789045785194695,
|
1078 |
+
"recall": 0.9052446011458792,
|
1079 |
+
"support": 2269.0
|
1080 |
},
|
1081 |
"eval_O": {
|
1082 |
+
"f1-score": 0.9992316384180792,
|
1083 |
"precision": 1.0,
|
1084 |
+
"recall": 0.998464456688646,
|
1085 |
+
"support": 11071.0
|
1086 |
},
|
1087 |
"eval_Premise": {
|
1088 |
+
"f1-score": 0.9255205276060909,
|
1089 |
+
"precision": 0.9289526582103002,
|
1090 |
+
"recall": 0.9221136645108022,
|
1091 |
+
"support": 14534.0
|
1092 |
},
|
1093 |
+
"eval_accuracy": 0.920415651691283,
|
1094 |
+
"eval_loss": 0.6322010159492493,
|
1095 |
"eval_macro avg": {
|
1096 |
+
"f1-score": 0.8862736749148389,
|
1097 |
+
"precision": 0.8829744977798845,
|
1098 |
+
"recall": 0.8896902647425751,
|
1099 |
+
"support": 32431.0
|
1100 |
+
},
|
1101 |
+
"eval_runtime": 4.8235,
|
1102 |
+
"eval_samples_per_second": 16.586,
|
1103 |
+
"eval_steps_per_second": 2.073,
|
1104 |
"eval_weighted avg": {
|
1105 |
+
"f1-score": 0.9206403732624274,
|
1106 |
+
"precision": 0.9209116629411165,
|
1107 |
+
"recall": 0.920415651691283,
|
1108 |
+
"support": 32431.0
|
1109 |
},
|
1110 |
"step": 1944
|
1111 |
},
|
1112 |
{
|
1113 |
"epoch": 24.69,
|
1114 |
+
"grad_norm": 0.6325204968452454,
|
1115 |
"learning_rate": 1.0123456790123458e-05,
|
1116 |
+
"loss": 0.004,
|
1117 |
"step": 2000
|
1118 |
},
|
1119 |
{
|
1120 |
"epoch": 25.0,
|
1121 |
"eval_Claim": {
|
1122 |
+
"f1-score": 0.7145744441949248,
|
1123 |
+
"precision": 0.7316624511381927,
|
1124 |
+
"recall": 0.6982664033355278,
|
1125 |
+
"support": 4557.0
|
1126 |
},
|
1127 |
"eval_MajorClaim": {
|
1128 |
+
"f1-score": 0.9116772823779193,
|
1129 |
+
"precision": 0.8795575583777141,
|
1130 |
+
"recall": 0.9462318201851035,
|
1131 |
+
"support": 2269.0
|
1132 |
},
|
1133 |
"eval_O": {
|
1134 |
+
"f1-score": 0.9992316384180792,
|
1135 |
"precision": 1.0,
|
1136 |
+
"recall": 0.998464456688646,
|
1137 |
+
"support": 11071.0
|
1138 |
},
|
1139 |
"eval_Premise": {
|
1140 |
+
"f1-score": 0.9222897565330862,
|
1141 |
+
"precision": 0.920614245561116,
|
1142 |
+
"recall": 0.9239713774597496,
|
1143 |
+
"support": 14534.0
|
1144 |
},
|
1145 |
+
"eval_accuracy": 0.9192439332737196,
|
1146 |
+
"eval_loss": 0.6634725332260132,
|
1147 |
"eval_macro avg": {
|
1148 |
+
"f1-score": 0.8869432803810023,
|
1149 |
+
"precision": 0.8829585637692556,
|
1150 |
+
"recall": 0.8917335144172567,
|
1151 |
+
"support": 32431.0
|
1152 |
+
},
|
1153 |
+
"eval_runtime": 4.8751,
|
1154 |
+
"eval_samples_per_second": 16.41,
|
1155 |
+
"eval_steps_per_second": 2.051,
|
1156 |
"eval_weighted avg": {
|
1157 |
+
"f1-score": 0.9186261381483827,
|
1158 |
+
"precision": 0.9182914290271974,
|
1159 |
+
"recall": 0.9192439332737196,
|
1160 |
+
"support": 32431.0
|
1161 |
},
|
1162 |
"step": 2025
|
1163 |
},
|
1164 |
{
|
1165 |
"epoch": 26.0,
|
1166 |
"eval_Claim": {
|
1167 |
+
"f1-score": 0.714535519125683,
|
1168 |
+
"precision": 0.7117352492924015,
|
1169 |
+
"recall": 0.717357910906298,
|
1170 |
+
"support": 4557.0
|
1171 |
},
|
1172 |
"eval_MajorClaim": {
|
1173 |
+
"f1-score": 0.9060118543607113,
|
1174 |
+
"precision": 0.8716904276985743,
|
1175 |
+
"recall": 0.9431467606875276,
|
1176 |
+
"support": 2269.0
|
1177 |
},
|
1178 |
"eval_O": {
|
1179 |
+
"f1-score": 0.9990506758283985,
|
1180 |
"precision": 1.0,
|
1181 |
+
"recall": 0.9981031523800922,
|
1182 |
+
"support": 11071.0
|
1183 |
},
|
1184 |
"eval_Premise": {
|
1185 |
+
"f1-score": 0.9199431877230055,
|
1186 |
+
"precision": 0.926393637061327,
|
1187 |
+
"recall": 0.9135819457823036,
|
1188 |
+
"support": 14534.0
|
1189 |
},
|
1190 |
+
"eval_accuracy": 0.9169313311337918,
|
1191 |
+
"eval_loss": 0.6303670406341553,
|
1192 |
"eval_macro avg": {
|
1193 |
+
"f1-score": 0.8848853092594496,
|
1194 |
+
"precision": 0.8774548285130757,
|
1195 |
+
"recall": 0.8930474424390553,
|
1196 |
+
"support": 32431.0
|
1197 |
+
},
|
1198 |
+
"eval_runtime": 4.8348,
|
1199 |
+
"eval_samples_per_second": 16.547,
|
1200 |
+
"eval_steps_per_second": 2.068,
|
1201 |
"eval_weighted avg": {
|
1202 |
+
"f1-score": 0.9171108994684886,
|
1203 |
+
"precision": 0.9175310114557944,
|
1204 |
+
"recall": 0.9169313311337918,
|
1205 |
+
"support": 32431.0
|
1206 |
},
|
1207 |
"step": 2106
|
1208 |
},
|
1209 |
{
|
1210 |
"epoch": 27.0,
|
1211 |
"eval_Claim": {
|
1212 |
+
"f1-score": 0.7246061922868008,
|
1213 |
+
"precision": 0.717512908777969,
|
1214 |
+
"recall": 0.7318411235461927,
|
1215 |
+
"support": 4557.0
|
1216 |
},
|
1217 |
"eval_MajorClaim": {
|
1218 |
+
"f1-score": 0.9032534246575342,
|
1219 |
+
"precision": 0.8780690803162713,
|
1220 |
+
"recall": 0.9299250771264874,
|
1221 |
+
"support": 2269.0
|
1222 |
},
|
1223 |
"eval_O": {
|
1224 |
+
"f1-score": 0.9991864039052614,
|
1225 |
"precision": 1.0,
|
1226 |
+
"recall": 0.9983741306115076,
|
1227 |
+
"support": 11071.0
|
1228 |
},
|
1229 |
"eval_Premise": {
|
1230 |
+
"f1-score": 0.9229063442015175,
|
1231 |
+
"precision": 0.9295735324911008,
|
1232 |
+
"recall": 0.9163341131140773,
|
1233 |
+
"support": 14534.0
|
1234 |
},
|
1235 |
+
"eval_accuracy": 0.9193672720545157,
|
1236 |
+
"eval_loss": 0.6543757319450378,
|
1237 |
"eval_macro avg": {
|
1238 |
+
"f1-score": 0.8874880912627785,
|
1239 |
+
"precision": 0.8812888803963352,
|
1240 |
+
"recall": 0.8941186110995663,
|
1241 |
+
"support": 32431.0
|
1242 |
+
},
|
1243 |
+
"eval_runtime": 4.8562,
|
1244 |
+
"eval_samples_per_second": 16.474,
|
1245 |
+
"eval_steps_per_second": 2.059,
|
1246 |
"eval_weighted avg": {
|
1247 |
+
"f1-score": 0.9197072530313251,
|
1248 |
+
"precision": 0.9202142021449996,
|
1249 |
+
"recall": 0.9193672720545157,
|
1250 |
+
"support": 32431.0
|
1251 |
},
|
1252 |
"step": 2187
|
1253 |
},
|
1254 |
{
|
1255 |
"epoch": 28.0,
|
1256 |
"eval_Claim": {
|
1257 |
+
"f1-score": 0.7182029107783169,
|
1258 |
+
"precision": 0.6913705583756345,
|
1259 |
+
"recall": 0.7472021066491112,
|
1260 |
+
"support": 4557.0
|
1261 |
},
|
1262 |
"eval_MajorClaim": {
|
1263 |
+
"f1-score": 0.9016903914590747,
|
1264 |
+
"precision": 0.9101930848675348,
|
1265 |
+
"recall": 0.8933450859409432,
|
1266 |
+
"support": 2269.0
|
1267 |
},
|
1268 |
"eval_O": {
|
1269 |
+
"f1-score": 0.9992316384180792,
|
1270 |
"precision": 1.0,
|
1271 |
+
"recall": 0.998464456688646,
|
1272 |
+
"support": 11071.0
|
1273 |
},
|
1274 |
"eval_Premise": {
|
1275 |
+
"f1-score": 0.9179735039465906,
|
1276 |
+
"precision": 0.9279437609841827,
|
1277 |
+
"recall": 0.9082152194853447,
|
1278 |
+
"support": 14534.0
|
1279 |
},
|
1280 |
+
"eval_accuracy": 0.9153587616786408,
|
1281 |
+
"eval_loss": 0.67218017578125,
|
1282 |
"eval_macro avg": {
|
1283 |
+
"f1-score": 0.8842746111505153,
|
1284 |
+
"precision": 0.882376851056838,
|
1285 |
+
"recall": 0.8868067171910112,
|
1286 |
+
"support": 32431.0
|
1287 |
+
},
|
1288 |
+
"eval_runtime": 4.8266,
|
1289 |
+
"eval_samples_per_second": 16.575,
|
1290 |
+
"eval_steps_per_second": 2.072,
|
1291 |
"eval_weighted avg": {
|
1292 |
+
"f1-score": 0.9165029304654106,
|
1293 |
+
"precision": 0.9180579805194509,
|
1294 |
+
"recall": 0.9153587616786408,
|
1295 |
+
"support": 32431.0
|
1296 |
},
|
1297 |
"step": 2268
|
1298 |
},
|
1299 |
{
|
1300 |
"epoch": 29.0,
|
1301 |
"eval_Claim": {
|
1302 |
+
"f1-score": 0.7078925956061839,
|
1303 |
+
"precision": 0.7525951557093425,
|
1304 |
+
"recall": 0.6682027649769585,
|
1305 |
+
"support": 4557.0
|
1306 |
},
|
1307 |
"eval_MajorClaim": {
|
1308 |
+
"f1-score": 0.9066271437645564,
|
1309 |
+
"precision": 0.8724531377343113,
|
1310 |
+
"recall": 0.9435874834728956,
|
1311 |
+
"support": 2269.0
|
1312 |
},
|
1313 |
"eval_O": {
|
1314 |
+
"f1-score": 0.9992316384180792,
|
1315 |
"precision": 1.0,
|
1316 |
+
"recall": 0.998464456688646,
|
1317 |
+
"support": 11071.0
|
1318 |
},
|
1319 |
"eval_Premise": {
|
1320 |
+
"f1-score": 0.9239400224405835,
|
1321 |
+
"precision": 0.9132889695503126,
|
1322 |
+
"recall": 0.9348424384202559,
|
1323 |
+
"support": 14534.0
|
1324 |
},
|
1325 |
+
"eval_accuracy": 0.9197064537017051,
|
1326 |
+
"eval_loss": 0.7057467103004456,
|
1327 |
"eval_macro avg": {
|
1328 |
+
"f1-score": 0.8844228500573508,
|
1329 |
+
"precision": 0.8845843157484916,
|
1330 |
+
"recall": 0.8862742858896889,
|
1331 |
+
"support": 32431.0
|
1332 |
+
},
|
1333 |
+
"eval_runtime": 4.8302,
|
1334 |
+
"eval_samples_per_second": 16.562,
|
1335 |
+
"eval_steps_per_second": 2.07,
|
1336 |
"eval_weighted avg": {
|
1337 |
+
"f1-score": 0.9180734884048335,
|
1338 |
+
"precision": 0.9174528746424986,
|
1339 |
+
"recall": 0.9197064537017051,
|
1340 |
+
"support": 32431.0
|
1341 |
},
|
1342 |
"step": 2349
|
1343 |
},
|
1344 |
{
|
1345 |
"epoch": 30.0,
|
1346 |
"eval_Claim": {
|
1347 |
+
"f1-score": 0.7153448663221748,
|
1348 |
+
"precision": 0.7327963176064441,
|
1349 |
+
"recall": 0.6987052885670397,
|
1350 |
+
"support": 4557.0
|
1351 |
},
|
1352 |
"eval_MajorClaim": {
|
1353 |
+
"f1-score": 0.8877374784110534,
|
1354 |
+
"precision": 0.8700804062632247,
|
1355 |
+
"recall": 0.9061260467166152,
|
1356 |
+
"support": 2269.0
|
1357 |
},
|
1358 |
"eval_O": {
|
1359 |
+
"f1-score": 0.9992316384180792,
|
1360 |
"precision": 1.0,
|
1361 |
+
"recall": 0.998464456688646,
|
1362 |
+
"support": 11071.0
|
1363 |
},
|
1364 |
"eval_Premise": {
|
1365 |
+
"f1-score": 0.9262746978050201,
|
1366 |
+
"precision": 0.9220124071170496,
|
1367 |
+
"recall": 0.9305765790560067,
|
1368 |
+
"support": 14534.0
|
1369 |
},
|
1370 |
+
"eval_accuracy": 0.9194597761401129,
|
1371 |
+
"eval_loss": 0.6960250735282898,
|
1372 |
"eval_macro avg": {
|
1373 |
+
"f1-score": 0.882147170239082,
|
1374 |
+
"precision": 0.8812222827466796,
|
1375 |
+
"recall": 0.8834680927570769,
|
1376 |
+
"support": 32431.0
|
1377 |
+
},
|
1378 |
+
"eval_runtime": 4.8194,
|
1379 |
+
"eval_samples_per_second": 16.6,
|
1380 |
+
"eval_steps_per_second": 2.075,
|
1381 |
"eval_weighted avg": {
|
1382 |
+
"f1-score": 0.9188453276546991,
|
1383 |
+
"precision": 0.918414282204774,
|
1384 |
+
"recall": 0.9194597761401129,
|
1385 |
+
"support": 32431.0
|
1386 |
},
|
1387 |
"step": 2430
|
1388 |
},
|
1389 |
{
|
1390 |
"epoch": 30.86,
|
1391 |
+
"grad_norm": 0.009368549101054668,
|
1392 |
"learning_rate": 7.654320987654322e-06,
|
1393 |
+
"loss": 0.002,
|
1394 |
"step": 2500
|
1395 |
},
|
1396 |
{
|
1397 |
"epoch": 31.0,
|
1398 |
"eval_Claim": {
|
1399 |
+
"f1-score": 0.723667100130039,
|
1400 |
+
"precision": 0.7148362235067437,
|
1401 |
+
"recall": 0.7327188940092166,
|
1402 |
+
"support": 4557.0
|
1403 |
},
|
1404 |
"eval_MajorClaim": {
|
1405 |
+
"f1-score": 0.8953336240732664,
|
1406 |
+
"precision": 0.8860595597755718,
|
1407 |
+
"recall": 0.9048038783605112,
|
1408 |
+
"support": 2269.0
|
1409 |
},
|
1410 |
"eval_O": {
|
1411 |
+
"f1-score": 0.9991864039052614,
|
1412 |
"precision": 1.0,
|
1413 |
+
"recall": 0.9983741306115076,
|
1414 |
+
"support": 11071.0
|
1415 |
},
|
1416 |
"eval_Premise": {
|
1417 |
+
"f1-score": 0.9236620107868897,
|
1418 |
+
"precision": 0.928283530229326,
|
1419 |
+
"recall": 0.9190862804458511,
|
1420 |
+
"support": 14534.0
|
1421 |
},
|
1422 |
+
"eval_accuracy": 0.9189664210169283,
|
1423 |
+
"eval_loss": 0.6865902543067932,
|
1424 |
"eval_macro avg": {
|
1425 |
+
"f1-score": 0.8854622847238642,
|
1426 |
+
"precision": 0.8822948283779104,
|
1427 |
+
"recall": 0.8887457958567716,
|
1428 |
+
"support": 32431.0
|
1429 |
+
},
|
1430 |
+
"eval_runtime": 4.8664,
|
1431 |
+
"eval_samples_per_second": 16.439,
|
1432 |
+
"eval_steps_per_second": 2.055,
|
1433 |
"eval_weighted avg": {
|
1434 |
+
"f1-score": 0.9193598504741339,
|
1435 |
+
"precision": 0.9198190200735107,
|
1436 |
+
"recall": 0.9189664210169283,
|
1437 |
+
"support": 32431.0
|
1438 |
},
|
1439 |
"step": 2511
|
1440 |
},
|
1441 |
{
|
1442 |
"epoch": 32.0,
|
1443 |
"eval_Claim": {
|
1444 |
+
"f1-score": 0.7149137639499492,
|
1445 |
+
"precision": 0.7350486787204451,
|
1446 |
+
"recall": 0.695852534562212,
|
1447 |
+
"support": 4557.0
|
1448 |
},
|
1449 |
"eval_MajorClaim": {
|
1450 |
+
"f1-score": 0.8920269389528569,
|
1451 |
+
"precision": 0.8796058269065982,
|
1452 |
+
"recall": 0.9048038783605112,
|
1453 |
+
"support": 2269.0
|
1454 |
},
|
1455 |
"eval_O": {
|
1456 |
+
"f1-score": 0.999322095177837,
|
1457 |
"precision": 1.0,
|
1458 |
+
"recall": 0.9986451088429229,
|
1459 |
+
"support": 11071.0
|
1460 |
},
|
1461 |
"eval_Premise": {
|
1462 |
+
"f1-score": 0.9260107310071427,
|
1463 |
+
"precision": 0.919942961906702,
|
1464 |
+
"recall": 0.9321590752717765,
|
1465 |
+
"support": 14534.0
|
1466 |
},
|
1467 |
+
"eval_accuracy": 0.9197372883969042,
|
1468 |
+
"eval_loss": 0.6847501397132874,
|
1469 |
"eval_macro avg": {
|
1470 |
+
"f1-score": 0.8830683822719464,
|
1471 |
+
"precision": 0.8836493668834363,
|
1472 |
+
"recall": 0.8828651492593558,
|
1473 |
+
"support": 32431.0
|
1474 |
+
},
|
1475 |
+
"eval_runtime": 4.8433,
|
1476 |
+
"eval_samples_per_second": 16.518,
|
1477 |
+
"eval_steps_per_second": 2.065,
|
1478 |
"eval_weighted avg": {
|
1479 |
+
"f1-score": 0.9189974415520827,
|
1480 |
+
"precision": 0.9184697807200564,
|
1481 |
+
"recall": 0.9197372883969042,
|
1482 |
+
"support": 32431.0
|
1483 |
},
|
1484 |
"step": 2592
|
1485 |
},
|
1486 |
{
|
1487 |
"epoch": 33.0,
|
1488 |
"eval_Claim": {
|
1489 |
+
"f1-score": 0.7068796869905445,
|
1490 |
+
"precision": 0.7002583979328165,
|
1491 |
+
"recall": 0.7136273864384464,
|
1492 |
+
"support": 4557.0
|
1493 |
},
|
1494 |
"eval_MajorClaim": {
|
1495 |
+
"f1-score": 0.8840610884061089,
|
1496 |
+
"precision": 0.8634453781512605,
|
1497 |
+
"recall": 0.9056853239312472,
|
1498 |
+
"support": 2269.0
|
1499 |
},
|
1500 |
"eval_O": {
|
1501 |
+
"f1-score": 0.9987338337704622,
|
1502 |
"precision": 1.0,
|
1503 |
+
"recall": 0.9974708698401229,
|
1504 |
+
"support": 11071.0
|
1505 |
},
|
1506 |
"eval_Premise": {
|
1507 |
+
"f1-score": 0.9202020901100422,
|
1508 |
+
"precision": 0.9256474519632414,
|
1509 |
+
"recall": 0.9148204210816018,
|
1510 |
+
"support": 14534.0
|
1511 |
},
|
1512 |
+
"eval_accuracy": 0.9141253738706793,
|
1513 |
+
"eval_loss": 0.7124452590942383,
|
1514 |
"eval_macro avg": {
|
1515 |
+
"f1-score": 0.8774691748192894,
|
1516 |
+
"precision": 0.8723378070118297,
|
1517 |
+
"recall": 0.8829010003228546,
|
1518 |
+
"support": 32431.0
|
1519 |
+
},
|
1520 |
+
"eval_runtime": 4.8097,
|
1521 |
+
"eval_samples_per_second": 16.633,
|
1522 |
+
"eval_steps_per_second": 2.079,
|
1523 |
"eval_weighted avg": {
|
1524 |
+
"f1-score": 0.9145072552354695,
|
1525 |
+
"precision": 0.9150070965816288,
|
1526 |
+
"recall": 0.9141253738706793,
|
1527 |
+
"support": 32431.0
|
1528 |
},
|
1529 |
"step": 2673
|
1530 |
},
|
1531 |
{
|
1532 |
"epoch": 34.0,
|
1533 |
"eval_Claim": {
|
1534 |
+
"f1-score": 0.709584487534626,
|
1535 |
+
"precision": 0.7166517457475381,
|
1536 |
+
"recall": 0.7026552556506473,
|
1537 |
+
"support": 4557.0
|
1538 |
},
|
1539 |
"eval_MajorClaim": {
|
1540 |
+
"f1-score": 0.8878668418747262,
|
1541 |
+
"precision": 0.8824553765781454,
|
1542 |
+
"recall": 0.8933450859409432,
|
1543 |
+
"support": 2269.0
|
1544 |
},
|
1545 |
"eval_O": {
|
1546 |
+
"f1-score": 0.9992316384180792,
|
1547 |
"precision": 1.0,
|
1548 |
+
"recall": 0.998464456688646,
|
1549 |
+
"support": 11071.0
|
1550 |
},
|
1551 |
"eval_Premise": {
|
1552 |
+
"f1-score": 0.9230083030261442,
|
1553 |
+
"precision": 0.9205447577333699,
|
1554 |
+
"recall": 0.9254850694922251,
|
1555 |
+
"support": 14534.0
|
1556 |
},
|
1557 |
+
"eval_accuracy": 0.9168388270481946,
|
1558 |
+
"eval_loss": 0.6949135661125183,
|
1559 |
"eval_macro avg": {
|
1560 |
+
"f1-score": 0.879922817713394,
|
1561 |
+
"precision": 0.8799129700147633,
|
1562 |
+
"recall": 0.8799874669431155,
|
1563 |
+
"support": 32431.0
|
1564 |
+
},
|
1565 |
+
"eval_runtime": 4.8274,
|
1566 |
+
"eval_samples_per_second": 16.572,
|
1567 |
+
"eval_steps_per_second": 2.072,
|
1568 |
"eval_weighted avg": {
|
1569 |
+
"f1-score": 0.9165811266694699,
|
1570 |
+
"precision": 0.9163538208419149,
|
1571 |
+
"recall": 0.9168388270481946,
|
1572 |
+
"support": 32431.0
|
1573 |
},
|
1574 |
"step": 2754
|
1575 |
},
|
1576 |
{
|
1577 |
"epoch": 35.0,
|
1578 |
"eval_Claim": {
|
1579 |
+
"f1-score": 0.7161833075049812,
|
1580 |
+
"precision": 0.7225820862184499,
|
1581 |
+
"recall": 0.7098968619705947,
|
1582 |
+
"support": 4557.0
|
1583 |
},
|
1584 |
"eval_MajorClaim": {
|
1585 |
+
"f1-score": 0.9034467994005567,
|
1586 |
+
"precision": 0.8784346378018318,
|
1587 |
+
"recall": 0.9299250771264874,
|
1588 |
+
"support": 2269.0
|
1589 |
},
|
1590 |
"eval_O": {
|
1591 |
+
"f1-score": 0.9995933673699905,
|
1592 |
"precision": 1.0,
|
1593 |
+
"recall": 0.9991870653057537,
|
1594 |
+
"support": 11071.0
|
1595 |
},
|
1596 |
"eval_Premise": {
|
1597 |
+
"f1-score": 0.9223401323042998,
|
1598 |
+
"precision": 0.9237405106970324,
|
1599 |
+
"recall": 0.9209439933947984,
|
1600 |
+
"support": 14534.0
|
1601 |
},
|
1602 |
+
"eval_accuracy": 0.9186272393697388,
|
1603 |
+
"eval_loss": 0.6991766691207886,
|
1604 |
"eval_macro avg": {
|
1605 |
+
"f1-score": 0.885390901644957,
|
1606 |
+
"precision": 0.8811893086793285,
|
1607 |
+
"recall": 0.8899882494494086,
|
1608 |
+
"support": 32431.0
|
1609 |
+
},
|
1610 |
+
"eval_runtime": 4.8369,
|
1611 |
+
"eval_samples_per_second": 16.539,
|
1612 |
+
"eval_steps_per_second": 2.067,
|
1613 |
"eval_weighted avg": {
|
1614 |
+
"f1-score": 0.9184224283310388,
|
1615 |
+
"precision": 0.9183379896562086,
|
1616 |
+
"recall": 0.9186272393697388,
|
1617 |
+
"support": 32431.0
|
1618 |
},
|
1619 |
"step": 2835
|
1620 |
},
|
1621 |
{
|
1622 |
"epoch": 36.0,
|
1623 |
"eval_Claim": {
|
1624 |
+
"f1-score": 0.7000227946204696,
|
1625 |
+
"precision": 0.7282428266540194,
|
1626 |
+
"recall": 0.673908272986614,
|
1627 |
+
"support": 4557.0
|
1628 |
},
|
1629 |
"eval_MajorClaim": {
|
1630 |
+
"f1-score": 0.9057333047025982,
|
1631 |
+
"precision": 0.8831658291457286,
|
1632 |
+
"recall": 0.9294843543411194,
|
1633 |
+
"support": 2269.0
|
1634 |
},
|
1635 |
"eval_O": {
|
1636 |
+
"f1-score": 0.9999548349216385,
|
1637 |
"precision": 1.0,
|
1638 |
+
"recall": 0.9999096739228616,
|
1639 |
+
"support": 11071.0
|
1640 |
},
|
1641 |
"eval_Premise": {
|
1642 |
+
"f1-score": 0.9210652099692729,
|
1643 |
+
"precision": 0.9141366223908919,
|
1644 |
+
"recall": 0.9280996284574102,
|
1645 |
+
"support": 14534.0
|
1646 |
},
|
1647 |
+
"eval_accuracy": 0.9169930005241899,
|
1648 |
+
"eval_loss": 0.7325878739356995,
|
1649 |
"eval_macro avg": {
|
1650 |
+
"f1-score": 0.8816940360534948,
|
1651 |
+
"precision": 0.8813863195476599,
|
1652 |
+
"recall": 0.8828504824270013,
|
1653 |
+
"support": 32431.0
|
1654 |
+
},
|
1655 |
+
"eval_runtime": 4.8521,
|
1656 |
+
"eval_samples_per_second": 16.488,
|
1657 |
+
"eval_steps_per_second": 2.061,
|
1658 |
"eval_weighted avg": {
|
1659 |
+
"f1-score": 0.9158636638576222,
|
1660 |
+
"precision": 0.9151604174161526,
|
1661 |
+
"recall": 0.9169930005241899,
|
1662 |
+
"support": 32431.0
|
1663 |
},
|
1664 |
"step": 2916
|
1665 |
}
|
|
|
1669 |
"num_input_tokens_seen": 0,
|
1670 |
"num_train_epochs": 50,
|
1671 |
"save_steps": 500,
|
1672 |
+
"total_flos": 5176394378164800.0,
|
1673 |
"train_batch_size": 4,
|
1674 |
"trial_name": null,
|
1675 |
"trial_params": null
|
checkpoint-2916/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:b2dd7b387b7349843b62a9d5b4facde1d14a6a35003d55f9e21a477105ecd1d3
|
3 |
size 4856
|